{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4b866c37-13ff-4f0f-bff4-61b41719ad6a",
   "metadata": {},
   "source": [
    "# The DAX \"Prophet\"\n",
    "\n",
    "* DAX = German index. Not the ETF named \"DAX\" (pitfall)\n",
    "* Data source: FMP (you can use yfinance)\n",
    "\n",
    "\n",
    "* Purpose of this NB: swing trade support (weeks)\n",
    "* Model can detect seasonalities"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4882e088-c9c9-4004-a984-e6e948dd6c96",
   "metadata": {},
   "source": [
    "## Data retrieval ($)\n",
    "\n",
    "We want historical data for our model. \n",
    "\n",
    "This isn't free."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ec60e3a9-efcc-4619-9fbd-0d09fedcf4f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "from openbb import obb\n",
    "import os\n",
    "from dotenv import load_dotenv\n",
    "\n",
    "def read_api_keys_from_env():\n",
    "    \"\"\"\n",
    "    Read API keys from env\n",
    "    \"\"\"\n",
    "    load_dotenv(\"api_keys\")  # This loads the variables from the file\n",
    "    \n",
    "    obb.user.credentials.nasdaq_api_key = os.getenv('NASDAQ_API_KEY') or print(\"NASDAQ_API_KEY is not set or empty\") or None\n",
    "    obb.user.credentials.fmp_api_key = os.getenv('FMP_API_KEY') or print(\"FMP_API_KEY is not set or empty\") or None\n",
    "    obb.user.credentials.econdb_api_key = os.getenv('ECONDB_API_KEY') or print(\"ECONDB_API_KEY is not set or empty\") or None\n",
    "    obb.user.credentials.fred_api_key = os.getenv('FRED_API_KEY') or print(\"FRED_API_KEY is not set or empty\") or None\n",
    "    obb.user.credentials.intrinio_api_key = os.getenv('INTRINIO_API_KEY') or print(\"INTRINIO_API_KEY is not set or empty\") or None\n",
    "    obb.user.credentials.polygon_api_key = os.getenv('POLYGON_API_KEY') or print(\"POLYGON_API_KEY is not set or empty\") or None\n",
    "\n",
    "    return os.getenv('ECONDB_API_KEY') \n",
    "    \n",
    "ECONDB_API_KEY = read_api_keys_from_env()\n",
    "# Need this API Key later for some data openbb doesn't support afaik"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "270e5063-6928-4138-adf9-f25913be521c",
   "metadata": {},
   "source": [
    "## Data download via Quant APIs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c0f83ff6-d1b2-424a-9974-4d005110c9e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_dax_data(symbol : str):\n",
    "\n",
    "    df_daily = obb.equity.price.historical(symbol = symbol, provider=\"fmp\",start_date=\"2000-01-01\").to_df()\n",
    "    return df_daily\n",
    "\n",
    "# https://site.financialmodelingprep.com/index-summary/%5EGDAXI \n",
    "# https://de.finance.yahoo.com/quote/%5EGDAXI/ \n",
    "df = get_dax_data(\"^GDAXI\") # Not \"DAX\", which is an ETF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b4e2d572-5349-4644-a82c-083aff2ffcc2",
   "metadata": {},
   "outputs": [
    {
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       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>vwap</th>\n",
       "      <th>adj_close</th>\n",
       "      <th>unadjusted_volume</th>\n",
       "      <th>change</th>\n",
       "      <th>change_percent</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-08-26</th>\n",
       "      <td>18589.9</td>\n",
       "      <td>18606.84</td>\n",
       "      <td>18554.51</td>\n",
       "      <td>18594.33</td>\n",
       "      <td>0</td>\n",
       "      <td>18585.23</td>\n",
       "      <td>18594.33</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.43</td>\n",
       "      <td>0.000238</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               open      high       low     close  volume      vwap  \\\n",
       "date                                                                  \n",
       "2024-08-26  18589.9  18606.84  18554.51  18594.33       0  18585.23   \n",
       "\n",
       "            adj_close  unadjusted_volume  change  change_percent  \n",
       "date                                                              \n",
       "2024-08-26   18594.33                0.0    4.43        0.000238  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail(1)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4801ef6a-4fb4-4091-8b68-74cce0b05c3c",
   "metadata": {},
   "outputs": [
    {
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       "      <th>close</th>\n",
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       "      <th>vwap</th>\n",
       "      <th>adj_close</th>\n",
       "      <th>unadjusted_volume</th>\n",
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       "    <tr>\n",
       "      <th>2000-01-03</th>\n",
       "      <td>6961.720215</td>\n",
       "      <td>7159.330078</td>\n",
       "      <td>6720.870117</td>\n",
       "      <td>6750.759766</td>\n",
       "      <td>43072500</td>\n",
       "      <td>6876.98665</td>\n",
       "      <td>6750.759766</td>\n",
       "      <td>43072500.0</td>\n",
       "      <td>-210.96045</td>\n",
       "      <td>-0.0303</td>\n",
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      "text/plain": [
       "                   open         high          low        close    volume  \\\n",
       "date                                                                       \n",
       "2000-01-03  6961.720215  7159.330078  6720.870117  6750.759766  43072500   \n",
       "\n",
       "                  vwap    adj_close  unadjusted_volume     change  \\\n",
       "date                                                                \n",
       "2000-01-03  6876.98665  6750.759766         43072500.0 -210.96045   \n",
       "\n",
       "            change_percent  \n",
       "date                        \n",
       "2000-01-03         -0.0303  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7d0aca72-041d-461b-8000-dedce6daf3f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(\"GDAXI_Jan_2k_Aug24.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f91a23d4-73df-44fd-96b7-3f2a0b0545b8",
   "metadata": {},
   "source": [
    "# Load the data (local file)\n",
    "\n",
    "* Data is present in the CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "77d99141-68b3-42ce-871e-b5fc4bbcb087",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "\n",
    "gdax_df = pd.read_csv(\"GDAXI_Jan_2k_Aug24.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2e82c9db-965c-459e-b2f4-5f805f65e117",
   "metadata": {},
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    {
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       "      <th>low</th>\n",
       "      <th>close</th>\n",
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       "      <th>vwap</th>\n",
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       "      <th>unadjusted_volume</th>\n",
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       "      <th>6261</th>\n",
       "      <td>2024-08-26</td>\n",
       "      <td>18589.9</td>\n",
       "      <td>18606.84</td>\n",
       "      <td>18554.51</td>\n",
       "      <td>18594.33</td>\n",
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       "      <td>18585.23</td>\n",
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       "            date     open      high       low     close  volume      vwap  \\\n",
       "6261  2024-08-26  18589.9  18606.84  18554.51  18594.33       0  18585.23   \n",
       "\n",
       "      adj_close  unadjusted_volume  change  change_percent  \n",
       "6261   18594.33                0.0    4.43        0.000238  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdax_df.tail(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "db05b7ff-d860-498c-864c-641583d2699d",
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    {
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       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>vwap</th>\n",
       "      <th>adj_close</th>\n",
       "      <th>unadjusted_volume</th>\n",
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       "      <td>2000-01-03</td>\n",
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       "         date         open         high          low        close    volume  \\\n",
       "0  2000-01-03  6961.720215  7159.330078  6720.870117  6750.759766  43072500   \n",
       "\n",
       "         vwap    adj_close  unadjusted_volume     change  change_percent  \n",
       "0  6876.98665  6750.759766         43072500.0 -210.96045         -0.0303  "
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     "execution_count": 8,
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   "source": [
    "gdax_df.head(1)"
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  {
   "cell_type": "markdown",
   "id": "daf6d537-f095-4a27-a2b7-b629f1e17c76",
   "metadata": {},
   "source": [
    "# Data enrichment with Technical Analysis - why?\n",
    "\n",
    "## We use a Kalman Filter for estimates\n",
    "\n",
    "This is only one feature we will use later. The plot shows why."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "7903e92f-5636-40e6-8b37-202d5f23eeea",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last 5 days of complete data:\n",
      "                  close  KalmanEstimate\n",
      "date                                   \n",
      "2024-08-21  18448.94922    18118.697662\n",
      "2024-08-22  18493.39063    18154.340301\n",
      "2024-08-23  18633.09961    18199.882243\n",
      "2024-08-26  18594.33000    18237.404055\n",
      "2024-08-27          NaN    18237.404055\n",
      "\n",
      "Last complete day in dataset:\n",
      "open    NaN\n",
      "high    NaN\n",
      "low     NaN\n",
      "close   NaN\n",
      "Name: 2024-08-27 00:00:00, dtype: float64\n",
      "\n",
      "Next day estimate: 18237.40\n",
      "Estimate uncertainty: 0.32\n",
      "\n",
      "Last month's maximum price: 18670.45\n",
      "\n",
      "Last month's minimum price: 17024.82\n",
      "\n",
      "Data range: from 2000-01-03 to 2024-08-27\n",
      "\n",
      "Current date and time: 2024-08-26 11:03:39.078629\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pykalman import KalmanFilter\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import timedelta, datetime\n",
    "\n",
    "# Read the DAX data from the CSV file\n",
    "df = pd.read_csv(\"GDAXI_Jan_2k_Aug24.csv\", parse_dates=['date'], index_col='date')\n",
    "\n",
    "# Remove any rows with NaN values and get the latest complete day\n",
    "df = df.dropna()\n",
    "latest_complete_day = df.index[-1]\n",
    "\n",
    "# Ensure we're only working with complete data up to the latest complete day\n",
    "df = df[:latest_complete_day]\n",
    "\n",
    "# Initialize Kalman Filter\n",
    "kf = KalmanFilter(\n",
    "    initial_state_mean=df['close'].iloc[0],\n",
    "    initial_state_covariance=1,\n",
    "    transition_matrices=[1],\n",
    "    observation_matrices=[1],\n",
    "    observation_covariance=1,\n",
    "    transition_covariance=0.01\n",
    ")\n",
    "\n",
    "# Apply Kalman Filter\n",
    "state_means, state_covariances = kf.filter(df['close'])\n",
    "\n",
    "# Add Kalman Filter estimates to the dataframe\n",
    "df['KalmanEstimate'] = state_means\n",
    "\n",
    "# Get the next day estimate\n",
    "last_mean = state_means[-1]\n",
    "last_covariance = state_covariances[-1]\n",
    "next_mean, next_covariance = kf.filter_update(\n",
    "    filtered_state_mean=last_mean,\n",
    "    filtered_state_covariance=last_covariance\n",
    ")\n",
    "\n",
    "# Add the next day estimate to the dataframe\n",
    "next_day = latest_complete_day + timedelta(days=1)\n",
    "df.loc[next_day, 'KalmanEstimate'] = next_mean[0]\n",
    "\n",
    "# Calculate last month's max and min\n",
    "last_month_start = latest_complete_day - timedelta(days=30)\n",
    "last_month = df.loc[last_month_start:]\n",
    "last_month_max = last_month['high'].max()\n",
    "last_month_min = last_month['low'].min()\n",
    "\n",
    "# Plot the results\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(df.index, df['close'], label='Closing Price')\n",
    "plt.plot(df.index, df['KalmanEstimate'], label='Kalman Filter Estimate', color='red')\n",
    "plt.scatter(next_day, next_mean, color='green', s=100, label='Next Day Estimate')\n",
    "\n",
    "# Add horizontal lines for last month's max and min\n",
    "plt.axhline(y=last_month_max, color='orange', linestyle='--', label='Last Month Max')\n",
    "plt.axhline(y=last_month_min, color='purple', linestyle='--', label='Last Month Min')\n",
    "\n",
    "plt.title('DAX (German Stock Index) with Kalman Filter Estimate and Additional Data')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Price')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "# Print the last few days of data and the next day estimate\n",
    "print(\"Last 5 days of complete data:\")\n",
    "print(df[['close', 'KalmanEstimate']].tail())\n",
    "\n",
    "print(f\"\\nLast complete day in dataset:\")\n",
    "print(df[['open', 'high', 'low', 'close']].iloc[-1])\n",
    "\n",
    "print(f\"\\nNext day estimate: {next_mean[0]:.2f}\")\n",
    "print(f\"Estimate uncertainty: {np.sqrt(next_covariance[0][0]):.2f}\")\n",
    "\n",
    "print(f\"\\nLast month's maximum price: {last_month_max:.2f}\")\n",
    "print(f\"\\nLast month's minimum price: {last_month_min:.2f}\")\n",
    "\n",
    "# Print the date range of the data\n",
    "print(f\"\\nData range: from {df.index[0].date()} to {df.index[-1].date()}\")\n",
    "\n",
    "print(f\"\\nCurrent date and time: {datetime.now()}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5267ca35-aced-4b12-bb9b-bfba6cee5a62",
   "metadata": {},
   "source": [
    "# Get foundational features ($)\n",
    "\n",
    "We are going to enrich our dataset with\n",
    "\n",
    "* Export stats\n",
    "* Inflation\n",
    "\n",
    "https://www.econdb.com/series/REXPDE/germany-real-exports-of-goods-and-services/?from=2019-08-25&to=2024-08-25 \n",
    "\n",
    "We know DE is exporting a lot, and that DAX companies are export focused.\n",
    "(For very adv. analysis, we could incorporate the cash flow etc. - all possible)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31cca246-87d6-4952-bf3a-cc481e7bad4b",
   "metadata": {},
   "source": [
    "## RPXDE = Germany - Real exports of goods and services (Level USD)\n",
    "\n",
    "These statistics aren't available since '91. \n",
    "We could go all out and merge certain other stats. But it doesn't seem to be necessary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "de0c2354-e0aa-4034-a4bd-46e25963fd2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "API_TOKEN = os.getenv('ECONDB_API_KEY')\n",
    "\n",
    "export_stats_usd_de_df = pd.read_csv(\n",
    "    'https://www.econdb.com/api/series/REXPDE~TUSD/?token=%s&format=csv' % API_TOKEN,\n",
    "    index_col='Date', parse_dates=['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0269e523-0a5c-4e09-8805-f6a53016e90a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>REXPDE~TUSD</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-01-01</th>\n",
       "      <td>441754.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            REXPDE~TUSD\n",
       "Date                   \n",
       "2024-01-01     441754.0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "export_stats_usd_de_df.tail(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "78ff5b8d-1ab9-4688-86a0-b75e09103cd7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>REXPDE~TUSD</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1991-01-01</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            REXPDE~TUSD\n",
       "Date                   \n",
       "1991-01-01          NaN"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "export_stats_usd_de_df.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41020bb4-5100-49a7-ba3f-bdc7c0fadb01",
   "metadata": {},
   "source": [
    "## CPI = Germany - Consumer Price Index (Level USD)\n",
    "\n",
    "Here the stats timeframe is also limited. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2396d267-0797-4225-a5fc-f61f32c93fcd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "API_TOKEN = os.getenv('ECONDB_API_KEY')\n",
    "\n",
    "consumer_price_index_usd_de_df = pd.read_csv(\n",
    "    'https://www.econdb.com/api/series/CPIDE~TUSD/?token=%s&format=csv' % API_TOKEN,\n",
    "    index_col='Date', parse_dates=['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "196a05a7-3233-416c-b4cc-5de7a1c49a43",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CPIDE~TUSD</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-03-01</th>\n",
       "      <td>121.23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            CPIDE~TUSD\n",
       "Date                  \n",
       "2012-03-01      121.23"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "consumer_price_index_usd_de_df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "94260786-8ec3-48ae-ae1b-382df0460882",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CPIDE~TUSD</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-07-01</th>\n",
       "      <td>130.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            CPIDE~TUSD\n",
       "Date                  \n",
       "2024-07-01      130.25"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "consumer_price_index_usd_de_df.tail(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3d0e740-0414-4698-9c44-15041c2cdbed",
   "metadata": {},
   "source": [
    "# Combine the datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "34687b99-1555-46e3-9e6d-eb9c67d7b878",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Ensure export_stats_usd_de_df and consumer_price_index_de_df have datetime index\n",
    "export_stats_usd_de_df.index = pd.to_datetime(export_stats_usd_de_df.index)\n",
    "consumer_price_index_usd_de_df.index = pd.to_datetime(consumer_price_index_usd_de_df.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9d29430b-cdf3-4ae0-9f3b-eb8ad9f5ad30",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>REXPDE~TUSD</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-01</th>\n",
       "      <td>442621.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-01</th>\n",
       "      <td>448084.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-01</th>\n",
       "      <td>441556.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-01</th>\n",
       "      <td>433233.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-01</th>\n",
       "      <td>441754.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            REXPDE~TUSD\n",
       "Date                   \n",
       "2023-01-01     442621.0\n",
       "2023-04-01     448084.0\n",
       "2023-07-01     441556.0\n",
       "2023-10-01     433233.0\n",
       "2024-01-01     441754.0"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "export_stats_usd_de_df.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9d5d1754-676a-412d-afa5-3704448fff2f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CPIDE~TUSD</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-03-01</th>\n",
       "      <td>128.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-01</th>\n",
       "      <td>127.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-01</th>\n",
       "      <td>129.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-01</th>\n",
       "      <td>128.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-01</th>\n",
       "      <td>130.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            CPIDE~TUSD\n",
       "Date                  \n",
       "2024-03-01      128.78\n",
       "2024-04-01      127.67\n",
       "2024-05-01      129.23\n",
       "2024-06-01      128.45\n",
       "2024-07-01      130.25"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "consumer_price_index_usd_de_df.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "bf5a79f0-a3ab-426b-a04a-da78427e092a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Ensure export_stats_usd_de_df and consumer_price_index_de_df have datetime index\n",
    "export_stats_usd_de_df.index = pd.to_datetime(export_stats_usd_de_df.index)\n",
    "consumer_price_index_usd_de_df.index = pd.to_datetime(consumer_price_index_usd_de_df.index)\n",
    "\n",
    "# Resample export_stats_usd_de_df to daily frequency and forward fill\n",
    "export_stats_daily = export_stats_usd_de_df.resample('D').ffill()\n",
    "\n",
    "# Resample consumer_price_index_de_df to daily frequency and forward fill\n",
    "cpi_daily = consumer_price_index_usd_de_df.resample('D').ffill()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "0146d9f1-2a3c-40c2-ac28-5b1e38b2149e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>REXPDE~TUSD</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-12-28</th>\n",
       "      <td>433233.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>433233.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-30</th>\n",
       "      <td>433233.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-31</th>\n",
       "      <td>433233.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-01</th>\n",
       "      <td>441754.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            REXPDE~TUSD\n",
       "Date                   \n",
       "2023-12-28     433233.0\n",
       "2023-12-29     433233.0\n",
       "2023-12-30     433233.0\n",
       "2023-12-31     433233.0\n",
       "2024-01-01     441754.0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "export_stats_daily.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "383f30bc-4668-4de4-a5b7-516a02732a2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CPIDE~TUSD</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-06-27</th>\n",
       "      <td>128.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-28</th>\n",
       "      <td>128.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-29</th>\n",
       "      <td>128.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-30</th>\n",
       "      <td>128.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-01</th>\n",
       "      <td>130.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            CPIDE~TUSD\n",
       "Date                  \n",
       "2024-06-27      128.45\n",
       "2024-06-28      128.45\n",
       "2024-06-29      128.45\n",
       "2024-06-30      128.45\n",
       "2024-07-01      130.25"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cpi_daily.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "31dc2264-fb3c-4d54-8b8e-fdce1041b652",
   "metadata": {},
   "outputs": [
    {
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       "      <th>date</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>vwap</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6257</th>\n",
       "      <td>2024-08-20</td>\n",
       "      <td>18473.23047</td>\n",
       "      <td>18495.27930</td>\n",
       "      <td>18349.98047</td>\n",
       "      <td>18357.51953</td>\n",
       "      <td>42912000</td>\n",
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       "      <td>-115.71094</td>\n",
       "      <td>-0.006264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6258</th>\n",
       "      <td>2024-08-21</td>\n",
       "      <td>18358.78906</td>\n",
       "      <td>18476.63086</td>\n",
       "      <td>18352.18945</td>\n",
       "      <td>18448.94922</td>\n",
       "      <td>36068100</td>\n",
       "      <td>18409.14</td>\n",
       "      <td>18448.94922</td>\n",
       "      <td>36068100.0</td>\n",
       "      <td>90.16016</td>\n",
       "      <td>0.004911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6259</th>\n",
       "      <td>2024-08-22</td>\n",
       "      <td>18459.27930</td>\n",
       "      <td>18551.39063</td>\n",
       "      <td>18458.60938</td>\n",
       "      <td>18493.39063</td>\n",
       "      <td>40950900</td>\n",
       "      <td>18490.67</td>\n",
       "      <td>18493.39063</td>\n",
       "      <td>40950900.0</td>\n",
       "      <td>34.11133</td>\n",
       "      <td>0.001848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6260</th>\n",
       "      <td>2024-08-23</td>\n",
       "      <td>18538.86914</td>\n",
       "      <td>18670.44922</td>\n",
       "      <td>18519.28906</td>\n",
       "      <td>18633.09961</td>\n",
       "      <td>41122500</td>\n",
       "      <td>18590.43</td>\n",
       "      <td>18633.09961</td>\n",
       "      <td>41122500.0</td>\n",
       "      <td>94.23047</td>\n",
       "      <td>0.005083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6261</th>\n",
       "      <td>2024-08-26</td>\n",
       "      <td>18589.90000</td>\n",
       "      <td>18606.84000</td>\n",
       "      <td>18554.51000</td>\n",
       "      <td>18594.33000</td>\n",
       "      <td>0</td>\n",
       "      <td>18585.23</td>\n",
       "      <td>18594.33000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.43000</td>\n",
       "      <td>0.000238</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            date         open         high          low        close  \\\n",
       "6257  2024-08-20  18473.23047  18495.27930  18349.98047  18357.51953   \n",
       "6258  2024-08-21  18358.78906  18476.63086  18352.18945  18448.94922   \n",
       "6259  2024-08-22  18459.27930  18551.39063  18458.60938  18493.39063   \n",
       "6260  2024-08-23  18538.86914  18670.44922  18519.28906  18633.09961   \n",
       "6261  2024-08-26  18589.90000  18606.84000  18554.51000  18594.33000   \n",
       "\n",
       "        volume      vwap    adj_close  unadjusted_volume     change  \\\n",
       "6257  42912000  18419.00  18357.51953         42912000.0 -115.71094   \n",
       "6258  36068100  18409.14  18448.94922         36068100.0   90.16016   \n",
       "6259  40950900  18490.67  18493.39063         40950900.0   34.11133   \n",
       "6260  41122500  18590.43  18633.09961         41122500.0   94.23047   \n",
       "6261         0  18585.23  18594.33000                0.0    4.43000   \n",
       "\n",
       "      change_percent  \n",
       "6257       -0.006264  \n",
       "6258        0.004911  \n",
       "6259        0.001848  \n",
       "6260        0.005083  \n",
       "6261        0.000238  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdax_df.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "7d49f827-6fc8-43ca-a87a-2fa1d548db12",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            index  REXPDE~TUSD  CPIDE~TUSD         open         high  \\\n",
      "18493  2024-08-20     441754.0      130.25  18473.23047  18495.27930   \n",
      "18494  2024-08-21     441754.0      130.25  18358.78906  18476.63086   \n",
      "18495  2024-08-22     441754.0      130.25  18459.27930  18551.39063   \n",
      "18496  2024-08-23     441754.0      130.25  18538.86914  18670.44922   \n",
      "18497  2024-08-26     441754.0      130.25  18589.90000  18606.84000   \n",
      "\n",
      "               low        close      volume      vwap    adj_close  \\\n",
      "18493  18349.98047  18357.51953  42912000.0  18419.00  18357.51953   \n",
      "18494  18352.18945  18448.94922  36068100.0  18409.14  18448.94922   \n",
      "18495  18458.60938  18493.39063  40950900.0  18490.67  18493.39063   \n",
      "18496  18519.28906  18633.09961  41122500.0  18590.43  18633.09961   \n",
      "18497  18554.51000  18594.33000         0.0  18585.23  18594.33000   \n",
      "\n",
      "       unadjusted_volume     change  change_percent  \n",
      "18493         42912000.0 -115.71094       -0.006264  \n",
      "18494         36068100.0   90.16016        0.004911  \n",
      "18495         40950900.0   34.11133        0.001848  \n",
      "18496         41122500.0   94.23047        0.005083  \n",
      "18497                0.0    4.43000        0.000238  \n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Assuming the Date columns are the index in export_stats_daily and cpi_daily\n",
    "# and 'date' column in gdax_df is not an index\n",
    "\n",
    "# Set the 'date' column in gdax_df to be the index\n",
    "gdax_df.set_index('date', inplace=True)\n",
    "\n",
    "# Merge the dataframes on the index\n",
    "combined_df = pd.concat([export_stats_daily, cpi_daily, gdax_df], axis=1, join='outer')\n",
    "\n",
    "# Forward fill missing values\n",
    "combined_df.ffill(inplace=True)\n",
    "\n",
    "# Reset the index if needed\n",
    "combined_df.reset_index(inplace=True)\n",
    "\n",
    "# Show the last few rows of the combined dataframe\n",
    "print(combined_df.tail())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "da845b8f-06c5-4cfb-ad99-0451aa7674fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>REXPDE~TUSD</th>\n",
       "      <th>CPIDE~TUSD</th>\n",
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       "      <th>18493</th>\n",
       "      <td>2024-08-20</td>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18473.23047</td>\n",
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       "      <th>18494</th>\n",
       "      <td>2024-08-21</td>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18358.78906</td>\n",
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       "      <td>18352.18945</td>\n",
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       "      <td>90.16016</td>\n",
       "      <td>0.004911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18495</th>\n",
       "      <td>2024-08-22</td>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18459.27930</td>\n",
       "      <td>18551.39063</td>\n",
       "      <td>18458.60938</td>\n",
       "      <td>18493.39063</td>\n",
       "      <td>40950900.0</td>\n",
       "      <td>18490.67</td>\n",
       "      <td>18493.39063</td>\n",
       "      <td>40950900.0</td>\n",
       "      <td>34.11133</td>\n",
       "      <td>0.001848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18496</th>\n",
       "      <td>2024-08-23</td>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18538.86914</td>\n",
       "      <td>18670.44922</td>\n",
       "      <td>18519.28906</td>\n",
       "      <td>18633.09961</td>\n",
       "      <td>41122500.0</td>\n",
       "      <td>18590.43</td>\n",
       "      <td>18633.09961</td>\n",
       "      <td>41122500.0</td>\n",
       "      <td>94.23047</td>\n",
       "      <td>0.005083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18497</th>\n",
       "      <td>2024-08-26</td>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18589.90000</td>\n",
       "      <td>18606.84000</td>\n",
       "      <td>18554.51000</td>\n",
       "      <td>18594.33000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18585.23</td>\n",
       "      <td>18594.33000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.43000</td>\n",
       "      <td>0.000238</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "            index  REXPDE~TUSD  CPIDE~TUSD         open         high  \\\n",
       "18493  2024-08-20     441754.0      130.25  18473.23047  18495.27930   \n",
       "18494  2024-08-21     441754.0      130.25  18358.78906  18476.63086   \n",
       "18495  2024-08-22     441754.0      130.25  18459.27930  18551.39063   \n",
       "18496  2024-08-23     441754.0      130.25  18538.86914  18670.44922   \n",
       "18497  2024-08-26     441754.0      130.25  18589.90000  18606.84000   \n",
       "\n",
       "               low        close      volume      vwap    adj_close  \\\n",
       "18493  18349.98047  18357.51953  42912000.0  18419.00  18357.51953   \n",
       "18494  18352.18945  18448.94922  36068100.0  18409.14  18448.94922   \n",
       "18495  18458.60938  18493.39063  40950900.0  18490.67  18493.39063   \n",
       "18496  18519.28906  18633.09961  41122500.0  18590.43  18633.09961   \n",
       "18497  18554.51000  18594.33000         0.0  18585.23  18594.33000   \n",
       "\n",
       "       unadjusted_volume     change  change_percent  \n",
       "18493         42912000.0 -115.71094       -0.006264  \n",
       "18494         36068100.0   90.16016        0.004911  \n",
       "18495         40950900.0   34.11133        0.001848  \n",
       "18496         41122500.0   94.23047        0.005083  \n",
       "18497                0.0    4.43000        0.000238  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_df.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "f2b1ee15-2879-4322-970a-3b6f954d2987",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
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       "      <th>CPIDE~TUSD</th>\n",
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      ],
      "text/plain": [
       "                 index  REXPDE~TUSD  CPIDE~TUSD  open  high  low  close  \\\n",
       "0  1991-01-01 00:00:00          NaN         NaN   NaN   NaN  NaN    NaN   \n",
       "\n",
       "   volume  vwap  adj_close  unadjusted_volume  change  change_percent  \n",
       "0     NaN   NaN        NaN                NaN     NaN             NaN  "
      ]
     },
     "execution_count": 174,
     "metadata": {},
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   ],
   "source": [
    "combined_df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "e683f311-1bd5-41c6-8252-c24d1ffdf187",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>REXPDE~TUSD</th>\n",
       "      <th>CPIDE~TUSD</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>vwap</th>\n",
       "      <th>adj_close</th>\n",
       "      <th>unadjusted_volume</th>\n",
       "      <th>change</th>\n",
       "      <th>change_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18496</th>\n",
       "      <td>2024-08-23</td>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18538.86914</td>\n",
       "      <td>18670.44922</td>\n",
       "      <td>18519.28906</td>\n",
       "      <td>18633.09961</td>\n",
       "      <td>41122500.0</td>\n",
       "      <td>18590.43</td>\n",
       "      <td>18633.09961</td>\n",
       "      <td>41122500.0</td>\n",
       "      <td>94.23047</td>\n",
       "      <td>0.005083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18497</th>\n",
       "      <td>2024-08-26</td>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18589.90000</td>\n",
       "      <td>18606.84000</td>\n",
       "      <td>18554.51000</td>\n",
       "      <td>18594.33000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18585.23</td>\n",
       "      <td>18594.33000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.43000</td>\n",
       "      <td>0.000238</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            index  REXPDE~TUSD  CPIDE~TUSD         open         high  \\\n",
       "18496  2024-08-23     441754.0      130.25  18538.86914  18670.44922   \n",
       "18497  2024-08-26     441754.0      130.25  18589.90000  18606.84000   \n",
       "\n",
       "               low        close      volume      vwap    adj_close  \\\n",
       "18496  18519.28906  18633.09961  41122500.0  18590.43  18633.09961   \n",
       "18497  18554.51000  18594.33000         0.0  18585.23  18594.33000   \n",
       "\n",
       "       unadjusted_volume    change  change_percent  \n",
       "18496         41122500.0  94.23047        0.005083  \n",
       "18497                0.0   4.43000        0.000238  "
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_df.tail(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5cb9f86d-5605-4388-9048-67c55ba2cf5c",
   "metadata": {},
   "source": [
    "# Calculation of a volatility-based indicator (Lorentzian) and the Kalman estimation\n",
    "\n",
    "Target: close price."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "ef1f435c-3292-47ef-9449-f0ece38cf7b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "index                0\n",
      "REXPDE~TUSD          0\n",
      "CPIDE~TUSD           0\n",
      "open                 0\n",
      "high                 0\n",
      "low                  0\n",
      "close                0\n",
      "volume               0\n",
      "vwap                 0\n",
      "adj_close            0\n",
      "unadjusted_volume    0\n",
      "change               0\n",
      "change_percent       0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "c_df = combined_df.copy()\n",
    "c_df = c_df.tail(10 * 365)\n",
    "nan_counts = c_df.isna().sum()\n",
    "print(nan_counts)\n",
    "\n",
    "# Assuming your dataframe is named combined_df\n",
    "df = c_df.copy()\n",
    "df['date'] = pd.to_datetime(df['index'])\n",
    "# Set 'date' as the index\n",
    "df.set_index('date', inplace=True)\n",
    "\n",
    "# Remove the original 'index' column\n",
    "df = df.drop('index', axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2bde8947-7cff-4915-b971-a5e3372ee22f",
   "metadata": {},
   "source": [
    "## Data enrichment - extra columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "bd1f6548-d845-4a26-b0be-52951a332ffe",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from pykalman import KalmanFilter\n",
    "import talib\n",
    "\n",
    "# Function to calculate Lorentzian indicator\n",
    "def calculate_lorentzian(data, period=14):\n",
    "    high_low = data['high'] - data['low']\n",
    "    high_close = np.abs(data['high'] - data['close'].shift())\n",
    "    low_close = np.abs(data['low'] - data['close'].shift())\n",
    "    ranges = pd.concat([high_low, high_close, low_close], axis=1)\n",
    "    true_range = np.max(ranges, axis=1)\n",
    "    atr = talib.SMA(true_range, timeperiod=period)\n",
    "    lorentzian = np.log(1 + atr)\n",
    "    return lorentzian\n",
    "\n",
    "# Assuming c_df is your DAX data\n",
    "# Ensure c_df has 'date' as index and contains 'open', 'high', 'low', 'close' columns\n",
    "\n",
    "# Calculate Kalman Filter estimates\n",
    "kf = KalmanFilter(\n",
    "    initial_state_mean=c_df['close'].iloc[0],\n",
    "    initial_state_covariance=1,\n",
    "    transition_matrices=[1],\n",
    "    observation_matrices=[1],\n",
    "    observation_covariance=1,\n",
    "    transition_covariance=0.01\n",
    ")\n",
    "\n",
    "\n",
    "state_means, _ = kf.filter(c_df['close'])\n",
    "c_df['KalmanEstimate'] = state_means\n",
    "\n",
    "# Calculate Lorentzian indicator\n",
    "c_df['LorentzianIndicator'] = calculate_lorentzian(c_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "d577e514-5d7c-4b67-a1e1-3904ae92d53a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            index  REXPDE~TUSD  CPIDE~TUSD         open         high  \\\n",
      "18493  2024-08-20     441754.0      130.25  18473.23047  18495.27930   \n",
      "18494  2024-08-21     441754.0      130.25  18358.78906  18476.63086   \n",
      "18495  2024-08-22     441754.0      130.25  18459.27930  18551.39063   \n",
      "18496  2024-08-23     441754.0      130.25  18538.86914  18670.44922   \n",
      "18497  2024-08-26     441754.0      130.25  18589.90000  18606.84000   \n",
      "\n",
      "               low        close      volume      vwap    adj_close  \\\n",
      "18493  18349.98047  18357.51953  42912000.0  18419.00  18357.51953   \n",
      "18494  18352.18945  18448.94922  36068100.0  18409.14  18448.94922   \n",
      "18495  18458.60938  18493.39063  40950900.0  18490.67  18493.39063   \n",
      "18496  18519.28906  18633.09961  41122500.0  18590.43  18633.09961   \n",
      "18497  18554.51000  18594.33000         0.0  18585.23  18594.33000   \n",
      "\n",
      "       unadjusted_volume     change  change_percent  KalmanEstimate  \\\n",
      "18493         42912000.0 -115.71094       -0.006264    18083.979993   \n",
      "18494         36068100.0   90.16016        0.004911    18118.697662   \n",
      "18495         40950900.0   34.11133        0.001848    18154.340301   \n",
      "18496         41122500.0   94.23047        0.005083    18199.882243   \n",
      "18497                0.0    4.43000        0.000238    18237.404055   \n",
      "\n",
      "       LorentzianIndicator  \n",
      "18493             5.592532  \n",
      "18494             5.505103  \n",
      "18495             5.395760  \n",
      "18496             5.234629  \n",
      "18497             5.158095  \n"
     ]
    }
   ],
   "source": [
    "print(c_df.tail(5))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab1388dd-a79a-4c1b-be1f-3865e5ab6d86",
   "metadata": {},
   "source": [
    "# Now we (over)fit Prophet\n",
    "\n",
    "* Prophet is an ML model based on additive regression with Fourier series\n",
    "* Can be used for seasonality and a piecewise linear trend. As you know, people do intraday trades, cyclical swings. That's also because Wall Street algorithms close after certain days of trade\n",
    "* Besides that, there are macroeconomic seasonalities: yearly reports (with dividend etc.). The German DAX is a performance index.\n",
    "\n",
    "https://facebook.github.io/prophet/ \n",
    "\n",
    "(an actual implementation is below)\n",
    "\n",
    "We use 10 years \"only\". Overfit... depends. This is a difficult aspect beyond the NB."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b712cba-df13-4ef7-9a20-4e83fb0ff80a",
   "metadata": {},
   "source": [
    "## Prophet model for the next day\n",
    "\n",
    "* This can infer the close price for the next day.\n",
    "* Keep in mind: we did not take care of the weekends. The data is limited. Etc. pp.\n",
    "* We use the consumer price index and the real-exports of goods for Germany because we know Germany exports a lot\n",
    "* We do not use other data because more data isn't always better. The feature engineering, however, is key\n",
    "\n",
    "In conclusion: we can do better. \n",
    "\n",
    "This is also a model you'd retrain every day. You can automate that, after the market closes. It takes 2 mins."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "id": "bf8e9169-bf40-4648-9b97-a9b7c1decc80",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = c_df.copy()\n",
    "df['date'] = pd.to_datetime(df['index'])\n",
    "# Set 'date' as the index\n",
    "df.set_index('date', inplace=True)\n",
    "\n",
    "# Remove the original 'index' column\n",
    "df = df.drop('index', axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "id": "38c5e441-55b3-4fc2-8a9b-88574f395f2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['REXPDE~TUSD', 'CPIDE~TUSD', 'open', 'high', 'low', 'close', 'volume',\n",
       "       'vwap', 'adj_close', 'unadjusted_volume', 'change', 'change_percent',\n",
       "       'KalmanEstimate', 'LorentzianIndicator'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 199,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9232300-a79a-4a6e-b120-302644a15f68",
   "metadata": {},
   "source": [
    "## Training for the next-day prediction with fully-fitted 10y data\n",
    "\n",
    "Note: close gets inferred, features get estimated. This is synthetic data.\n",
    "\n",
    "Meaning: it's just another indicator."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "id": "2704c423-ab52-4e1a-b046-178b9690ccd8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>REXPDE~TUSD</th>\n",
       "      <th>CPIDE~TUSD</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>volume</th>\n",
       "      <th>vwap</th>\n",
       "      <th>adj_close</th>\n",
       "      <th>unadjusted_volume</th>\n",
       "      <th>change</th>\n",
       "      <th>change_percent</th>\n",
       "      <th>KalmanEstimate</th>\n",
       "      <th>LorentzianIndicator</th>\n",
       "      <th>ds</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-08-13</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>17799.66016</td>\n",
       "      <td>17817.07031</td>\n",
       "      <td>17669.64063</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17774.61</td>\n",
       "      <td>17812.05078</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.39062</td>\n",
       "      <td>0.000696</td>\n",
       "      <td>17971.884663</td>\n",
       "      <td>5.629366</td>\n",
       "      <td>2024-08-13</td>\n",
       "      <td>17812.05078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-14</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>17882.17969</td>\n",
       "      <td>17921.99023</td>\n",
       "      <td>17827.08008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17879.21</td>\n",
       "      <td>17885.59961</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.41992</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>17963.676804</td>\n",
       "      <td>5.581875</td>\n",
       "      <td>2024-08-14</td>\n",
       "      <td>17885.59961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-15</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>17977.81055</td>\n",
       "      <td>18198.08984</td>\n",
       "      <td>17909.74023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18067.22</td>\n",
       "      <td>18183.24023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.42968</td>\n",
       "      <td>0.011400</td>\n",
       "      <td>17984.562758</td>\n",
       "      <td>5.608979</td>\n",
       "      <td>2024-08-15</td>\n",
       "      <td>18183.24023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-16</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18236.01953</td>\n",
       "      <td>18344.22070</td>\n",
       "      <td>18226.59961</td>\n",
       "      <td>63794900.0</td>\n",
       "      <td>18282.31</td>\n",
       "      <td>18322.40039</td>\n",
       "      <td>63794900.0</td>\n",
       "      <td>86.38086</td>\n",
       "      <td>0.004737</td>\n",
       "      <td>18016.699536</td>\n",
       "      <td>5.588865</td>\n",
       "      <td>2024-08-16</td>\n",
       "      <td>18322.40039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-19</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18312.50977</td>\n",
       "      <td>18454.93945</td>\n",
       "      <td>18284.85938</td>\n",
       "      <td>43769700.0</td>\n",
       "      <td>18368.50</td>\n",
       "      <td>18421.68945</td>\n",
       "      <td>43769700.0</td>\n",
       "      <td>109.17968</td>\n",
       "      <td>0.005962</td>\n",
       "      <td>18055.224170</td>\n",
       "      <td>5.594636</td>\n",
       "      <td>2024-08-19</td>\n",
       "      <td>18421.68945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-20</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18473.23047</td>\n",
       "      <td>18495.27930</td>\n",
       "      <td>18349.98047</td>\n",
       "      <td>42912000.0</td>\n",
       "      <td>18419.00</td>\n",
       "      <td>18357.51953</td>\n",
       "      <td>42912000.0</td>\n",
       "      <td>-115.71094</td>\n",
       "      <td>-0.006264</td>\n",
       "      <td>18083.979993</td>\n",
       "      <td>5.592532</td>\n",
       "      <td>2024-08-20</td>\n",
       "      <td>18357.51953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-21</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18358.78906</td>\n",
       "      <td>18476.63086</td>\n",
       "      <td>18352.18945</td>\n",
       "      <td>36068100.0</td>\n",
       "      <td>18409.14</td>\n",
       "      <td>18448.94922</td>\n",
       "      <td>36068100.0</td>\n",
       "      <td>90.16016</td>\n",
       "      <td>0.004911</td>\n",
       "      <td>18118.697662</td>\n",
       "      <td>5.505103</td>\n",
       "      <td>2024-08-21</td>\n",
       "      <td>18448.94922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-22</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18459.27930</td>\n",
       "      <td>18551.39063</td>\n",
       "      <td>18458.60938</td>\n",
       "      <td>40950900.0</td>\n",
       "      <td>18490.67</td>\n",
       "      <td>18493.39063</td>\n",
       "      <td>40950900.0</td>\n",
       "      <td>34.11133</td>\n",
       "      <td>0.001848</td>\n",
       "      <td>18154.340301</td>\n",
       "      <td>5.395760</td>\n",
       "      <td>2024-08-22</td>\n",
       "      <td>18493.39063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-23</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18538.86914</td>\n",
       "      <td>18670.44922</td>\n",
       "      <td>18519.28906</td>\n",
       "      <td>41122500.0</td>\n",
       "      <td>18590.43</td>\n",
       "      <td>18633.09961</td>\n",
       "      <td>41122500.0</td>\n",
       "      <td>94.23047</td>\n",
       "      <td>0.005083</td>\n",
       "      <td>18199.882243</td>\n",
       "      <td>5.234629</td>\n",
       "      <td>2024-08-23</td>\n",
       "      <td>18633.09961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-26</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18589.90000</td>\n",
       "      <td>18606.84000</td>\n",
       "      <td>18554.51000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18585.23</td>\n",
       "      <td>18594.33000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.43000</td>\n",
       "      <td>0.000238</td>\n",
       "      <td>18237.404055</td>\n",
       "      <td>5.158095</td>\n",
       "      <td>2024-08-26</td>\n",
       "      <td>18594.33000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            REXPDE~TUSD  CPIDE~TUSD         open         high          low  \\\n",
       "date                                                                         \n",
       "2024-08-13     441754.0      130.25  17799.66016  17817.07031  17669.64063   \n",
       "2024-08-14     441754.0      130.25  17882.17969  17921.99023  17827.08008   \n",
       "2024-08-15     441754.0      130.25  17977.81055  18198.08984  17909.74023   \n",
       "2024-08-16     441754.0      130.25  18236.01953  18344.22070  18226.59961   \n",
       "2024-08-19     441754.0      130.25  18312.50977  18454.93945  18284.85938   \n",
       "2024-08-20     441754.0      130.25  18473.23047  18495.27930  18349.98047   \n",
       "2024-08-21     441754.0      130.25  18358.78906  18476.63086  18352.18945   \n",
       "2024-08-22     441754.0      130.25  18459.27930  18551.39063  18458.60938   \n",
       "2024-08-23     441754.0      130.25  18538.86914  18670.44922  18519.28906   \n",
       "2024-08-26     441754.0      130.25  18589.90000  18606.84000  18554.51000   \n",
       "\n",
       "                volume      vwap    adj_close  unadjusted_volume     change  \\\n",
       "date                                                                          \n",
       "2024-08-13         0.0  17774.61  17812.05078                0.0   12.39062   \n",
       "2024-08-14         0.0  17879.21  17885.59961                0.0    3.41992   \n",
       "2024-08-15         0.0  18067.22  18183.24023                0.0  205.42968   \n",
       "2024-08-16  63794900.0  18282.31  18322.40039         63794900.0   86.38086   \n",
       "2024-08-19  43769700.0  18368.50  18421.68945         43769700.0  109.17968   \n",
       "2024-08-20  42912000.0  18419.00  18357.51953         42912000.0 -115.71094   \n",
       "2024-08-21  36068100.0  18409.14  18448.94922         36068100.0   90.16016   \n",
       "2024-08-22  40950900.0  18490.67  18493.39063         40950900.0   34.11133   \n",
       "2024-08-23  41122500.0  18590.43  18633.09961         41122500.0   94.23047   \n",
       "2024-08-26         0.0  18585.23  18594.33000                0.0    4.43000   \n",
       "\n",
       "            change_percent  KalmanEstimate  LorentzianIndicator         ds  \\\n",
       "date                                                                         \n",
       "2024-08-13        0.000696    17971.884663             5.629366 2024-08-13   \n",
       "2024-08-14        0.000191    17963.676804             5.581875 2024-08-14   \n",
       "2024-08-15        0.011400    17984.562758             5.608979 2024-08-15   \n",
       "2024-08-16        0.004737    18016.699536             5.588865 2024-08-16   \n",
       "2024-08-19        0.005962    18055.224170             5.594636 2024-08-19   \n",
       "2024-08-20       -0.006264    18083.979993             5.592532 2024-08-20   \n",
       "2024-08-21        0.004911    18118.697662             5.505103 2024-08-21   \n",
       "2024-08-22        0.001848    18154.340301             5.395760 2024-08-22   \n",
       "2024-08-23        0.005083    18199.882243             5.234629 2024-08-23   \n",
       "2024-08-26        0.000238    18237.404055             5.158095 2024-08-26   \n",
       "\n",
       "                      y  \n",
       "date                     \n",
       "2024-08-13  17812.05078  \n",
       "2024-08-14  17885.59961  \n",
       "2024-08-15  18183.24023  \n",
       "2024-08-16  18322.40039  \n",
       "2024-08-19  18421.68945  \n",
       "2024-08-20  18357.51953  \n",
       "2024-08-21  18448.94922  \n",
       "2024-08-22  18493.39063  \n",
       "2024-08-23  18633.09961  \n",
       "2024-08-26  18594.33000  "
      ]
     },
     "execution_count": 201,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from prophet import Prophet\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from datetime import datetime, timedelta\n",
    "\n",
    "# Define the expected columns\n",
    "expected_columns = ['REXPDE~TUSD', 'CPIDE~TUSD', 'open', 'high', 'low', 'close', 'volume',\n",
    "                    'vwap', 'adj_close', 'unadjusted_volume', 'change', 'change_percent',\n",
    "                    'KalmanEstimate', 'LorentzianIndicator']\n",
    "\n",
    "# Assert that all expected columns are present in the DataFrame\n",
    "assert all(col in df.columns for col in expected_columns), f\"Missing columns. Expected: {expected_columns}, Got: {df.columns.tolist()}\"\n",
    "\n",
    "# Remove rows with NaN values\n",
    "df = df.dropna()\n",
    "\n",
    "df['ds'] = df.index\n",
    "df['y'] = df[\"close\"]\n",
    "df = df.drop(columns=['close'])\n",
    "\n",
    "df.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "id": "73e18e29-154b-43ed-947b-c0ac49e54f8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using regressors: ['REXPDE~TUSD', 'CPIDE~TUSD', 'open', 'high', 'low', 'volume', 'vwap', 'adj_close', 'unadjusted_volume', 'change', 'change_percent', 'KalmanEstimate', 'LorentzianIndicator']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "11:14:51 - cmdstanpy - INFO - Chain [1] start processing\n",
      "11:14:51 - cmdstanpy - INFO - Chain [1] done processing\n",
      "11:14:51 - cmdstanpy - ERROR - Chain [1] error: error during processing Operation not permitted\n",
      "11:14:52 - cmdstanpy - INFO - Chain [1] start processing\n",
      "11:19:29 - cmdstanpy - INFO - Chain [1] done processing\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model training completed and saved.\n"
     ]
    }
   ],
   "source": [
    "# Define potential regressors (all columns except 'ds' and 'y')\n",
    "regressors = [col for col in df.columns if col not in ['ds', 'y']]\n",
    "\n",
    "def train_prophet_model(df, regressors, include_monthly_seasonality=True):\n",
    "    model = Prophet(\n",
    "        yearly_seasonality=True,\n",
    "        daily_seasonality=True,\n",
    "        weekly_seasonality=True,\n",
    "        changepoint_prior_scale=0.05,\n",
    "        seasonality_prior_scale=10.0,\n",
    "        seasonality_mode='additive'\n",
    "    )\n",
    "    \n",
    "    if include_monthly_seasonality:\n",
    "        model.add_seasonality(name='monthly', period=30.5, fourier_order=5)\n",
    "    \n",
    "    for regressor in regressors:\n",
    "        if regressor in df.columns:\n",
    "            model.add_regressor(regressor)\n",
    "    \n",
    "    model.fit(df)\n",
    "    return model\n",
    "\n",
    "# Filter regressors to only include those present in the dataframe\n",
    "regressors = [reg for reg in regressors if reg in df.columns]\n",
    "print(f\"Using regressors: {regressors}\")\n",
    "\n",
    "# Train the model\n",
    "model = train_prophet_model(df, regressors)\n",
    "\n",
    "# Save model and data for future use\n",
    "df.to_pickle('dax_data.pkl')\n",
    "import pickle\n",
    "with open('prophet_model.pkl', 'wb') as f:\n",
    "    pickle.dump(model, f)\n",
    "\n",
    "print(\"Model training completed and saved.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "93f6d266-070c-4fbb-a638-43c3a28c6096",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Model Results:\n",
      "Root Mean Squared Error: 4.8653376964947\n",
      "Mean Absolute Error: 4.844596361038675\n"
     ]
    },
    {
     "data": {
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          "2011-06-30T00:00:00",
          "2011-07-01T00:00:00",
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          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
          "2011-11-10T00:00:00",
          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
          "2011-11-15T00:00:00",
          "2011-11-16T00:00:00",
          "2011-11-17T00:00:00",
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          "2011-11-22T00:00:00",
          "2011-11-23T00:00:00",
          "2011-11-24T00:00:00",
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          "2011-11-28T00:00:00",
          "2011-11-29T00:00:00",
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          "2012-01-02T00:00:00",
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          "2014-06-25T00:00:00",
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          "2014-07-02T00:00:00",
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          "2014-07-04T00:00:00",
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          "2014-07-09T00:00:00",
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          "2014-07-11T00:00:00",
          "2014-07-14T00:00:00",
          "2014-07-15T00:00:00",
          "2014-07-16T00:00:00",
          "2014-07-17T00:00:00",
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          "2014-07-22T00:00:00",
          "2014-07-23T00:00:00",
          "2014-07-24T00:00:00",
          "2014-07-25T00:00:00",
          "2014-07-28T00:00:00",
          "2014-07-29T00:00:00",
          "2014-07-30T00:00:00",
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          "2014-08-01T00:00:00",
          "2014-08-04T00:00:00",
          "2014-08-05T00:00:00",
          "2014-08-06T00:00:00",
          "2014-08-07T00:00:00",
          "2014-08-08T00:00:00",
          "2014-08-11T00:00:00",
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          "2014-08-13T00:00:00",
          "2014-08-14T00:00:00",
          "2014-08-15T00:00:00",
          "2014-08-18T00:00:00",
          "2014-08-19T00:00:00",
          "2014-08-20T00:00:00",
          "2014-08-21T00:00:00",
          "2014-08-22T00:00:00",
          "2014-08-25T00:00:00",
          "2014-08-26T00:00:00",
          "2014-08-27T00:00:00",
          "2014-08-28T00:00:00",
          "2014-08-29T00:00:00",
          "2014-09-01T00:00:00",
          "2014-09-02T00:00:00",
          "2014-09-03T00:00:00",
          "2014-09-04T00:00:00",
          "2014-09-05T00:00:00",
          "2014-09-08T00:00:00",
          "2014-09-09T00:00:00",
          "2014-09-10T00:00:00",
          "2014-09-11T00:00:00",
          "2014-09-12T00:00:00",
          "2014-09-15T00:00:00",
          "2014-09-16T00:00:00",
          "2014-09-17T00:00:00",
          "2014-09-18T00:00:00",
          "2014-09-19T00:00:00",
          "2014-09-22T00:00:00",
          "2014-09-23T00:00:00",
          "2014-09-24T00:00:00",
          "2014-09-25T00:00:00",
          "2014-09-26T00:00:00",
          "2014-09-29T00:00:00",
          "2014-09-30T00:00:00",
          "2014-10-01T00:00:00",
          "2014-10-02T00:00:00",
          "2014-10-06T00:00:00",
          "2014-10-07T00:00:00",
          "2014-10-08T00:00:00",
          "2014-10-09T00:00:00",
          "2014-10-10T00:00:00",
          "2014-10-13T00:00:00",
          "2014-10-14T00:00:00",
          "2014-10-15T00:00:00",
          "2014-10-16T00:00:00",
          "2014-10-17T00:00:00",
          "2014-10-20T00:00:00",
          "2014-10-21T00:00:00",
          "2014-10-22T00:00:00",
          "2014-10-23T00:00:00",
          "2014-10-24T00:00:00",
          "2014-10-27T00:00:00",
          "2014-10-28T00:00:00",
          "2014-10-29T00:00:00",
          "2014-10-30T00:00:00",
          "2014-10-31T00:00:00",
          "2014-11-03T00:00:00",
          "2014-11-04T00:00:00",
          "2014-11-05T00:00:00",
          "2014-11-06T00:00:00",
          "2014-11-07T00:00:00",
          "2014-11-10T00:00:00",
          "2014-11-11T00:00:00",
          "2014-11-12T00:00:00",
          "2014-11-13T00:00:00",
          "2014-11-14T00:00:00",
          "2014-11-17T00:00:00",
          "2014-11-18T00:00:00",
          "2014-11-19T00:00:00",
          "2014-11-20T00:00:00",
          "2014-11-21T00:00:00",
          "2014-11-24T00:00:00",
          "2014-11-25T00:00:00",
          "2014-11-26T00:00:00",
          "2014-11-27T00:00:00",
          "2014-11-28T00:00:00",
          "2014-12-01T00:00:00",
          "2014-12-02T00:00:00",
          "2014-12-03T00:00:00",
          "2014-12-04T00:00:00",
          "2014-12-05T00:00:00",
          "2014-12-08T00:00:00",
          "2014-12-09T00:00:00",
          "2014-12-10T00:00:00",
          "2014-12-11T00:00:00",
          "2014-12-12T00:00:00",
          "2014-12-15T00:00:00",
          "2014-12-16T00:00:00",
          "2014-12-17T00:00:00",
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          "2014-12-19T00:00:00",
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          "2014-12-30T00:00:00",
          "2015-01-02T00:00:00",
          "2015-01-05T00:00:00",
          "2015-01-06T00:00:00",
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          "2015-01-08T00:00:00",
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          "2015-01-22T00:00:00",
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          "2014-10-06T00:00:00",
          "2014-10-07T00:00:00",
          "2014-10-08T00:00:00",
          "2014-10-09T00:00:00",
          "2014-10-10T00:00:00",
          "2014-10-13T00:00:00",
          "2014-10-14T00:00:00",
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          "2014-10-16T00:00:00",
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          "2014-10-21T00:00:00",
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          "2014-11-06T00:00:00",
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          "2014-11-12T00:00:00",
          "2014-11-13T00:00:00",
          "2014-11-14T00:00:00",
          "2014-11-17T00:00:00",
          "2014-11-18T00:00:00",
          "2014-11-19T00:00:00",
          "2014-11-20T00:00:00",
          "2014-11-21T00:00:00",
          "2014-11-24T00:00:00",
          "2014-11-25T00:00:00",
          "2014-11-26T00:00:00",
          "2014-11-27T00:00:00",
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          "2014-12-03T00:00:00",
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          "2014-12-05T00:00:00",
          "2014-12-08T00:00:00",
          "2014-12-09T00:00:00",
          "2014-12-10T00:00:00",
          "2014-12-11T00:00:00",
          "2014-12-12T00:00:00",
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          "2014-12-16T00:00:00",
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          "2014-12-19T00:00:00",
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          "2015-01-02T00:00:00",
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          "2015-01-06T00:00:00",
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          "2015-01-08T00:00:00",
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          "2015-01-22T00:00:00",
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          "2015-02-19T00:00:00",
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          "2015-04-29T00:00:00",
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          "2015-05-05T00:00:00",
          "2015-05-06T00:00:00",
          "2015-05-07T00:00:00",
          "2015-05-08T00:00:00",
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          "2015-05-12T00:00:00",
          "2015-05-13T00:00:00",
          "2015-05-14T00:00:00",
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          "2015-05-21T00:00:00",
          "2015-05-22T00:00:00",
          "2015-05-26T00:00:00",
          "2015-05-27T00:00:00",
          "2015-05-28T00:00:00",
          "2015-05-29T00:00:00",
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          "2015-06-02T00:00:00",
          "2015-06-03T00:00:00",
          "2015-06-04T00:00:00",
          "2015-06-05T00:00:00",
          "2015-06-08T00:00:00",
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          "2015-06-11T00:00:00",
          "2015-06-12T00:00:00",
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          "2015-06-16T00:00:00",
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          "2015-06-19T00:00:00",
          "2015-06-22T00:00:00",
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          "2015-06-26T00:00:00",
          "2015-06-29T00:00:00",
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          "2015-07-06T00:00:00",
          "2015-07-07T00:00:00",
          "2015-07-08T00:00:00",
          "2015-07-09T00:00:00",
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          "2015-07-14T00:00:00",
          "2015-07-15T00:00:00",
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          "2015-07-21T00:00:00",
          "2015-07-22T00:00:00",
          "2015-07-23T00:00:00",
          "2015-07-24T00:00:00",
          "2015-07-27T00:00:00",
          "2015-07-28T00:00:00",
          "2015-07-29T00:00:00",
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          "2015-08-03T00:00:00",
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          "2015-08-21T00:00:00",
          "2015-08-24T00:00:00",
          "2015-08-25T00:00:00",
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          "2015-08-31T00:00:00",
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          "2015-09-02T00:00:00",
          "2015-09-03T00:00:00",
          "2015-09-04T00:00:00",
          "2015-09-07T00:00:00",
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          "2015-09-09T00:00:00",
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          "2015-09-14T00:00:00",
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          "2015-09-21T00:00:00",
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          "2015-09-25T00:00:00",
          "2015-09-28T00:00:00",
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          "2015-10-05T00:00:00",
          "2015-10-06T00:00:00",
          "2015-10-07T00:00:00",
          "2015-10-08T00:00:00",
          "2015-10-09T00:00:00",
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          "2015-10-13T00:00:00",
          "2015-10-14T00:00:00",
          "2015-10-15T00:00:00",
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          "2015-10-21T00:00:00",
          "2015-10-22T00:00:00",
          "2015-10-23T00:00:00",
          "2015-10-26T00:00:00",
          "2015-10-27T00:00:00",
          "2015-10-28T00:00:00",
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          "2015-11-10T00:00:00",
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          "2015-11-12T00:00:00",
          "2015-11-13T00:00:00",
          "2015-11-16T00:00:00",
          "2015-11-17T00:00:00",
          "2015-11-18T00:00:00",
          "2015-11-19T00:00:00",
          "2015-11-20T00:00:00",
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          "2015-11-24T00:00:00",
          "2015-11-25T00:00:00",
          "2015-11-26T00:00:00",
          "2015-11-27T00:00:00",
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          "2015-12-01T00:00:00",
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          "2015-12-03T00:00:00",
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          "2015-12-07T00:00:00",
          "2015-12-08T00:00:00",
          "2015-12-09T00:00:00",
          "2015-12-10T00:00:00",
          "2015-12-11T00:00:00",
          "2015-12-14T00:00:00",
          "2015-12-15T00:00:00",
          "2015-12-16T00:00:00",
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          "2015-12-21T00:00:00",
          "2015-12-22T00:00:00",
          "2015-12-23T00:00:00",
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          "2016-01-04T00:00:00",
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          "2016-01-22T00:00:00",
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          "2011-01-10T00:00:00",
          "2011-01-11T00:00:00",
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          "2011-03-17T00:00:00",
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          "2011-05-02T00:00:00",
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          "2011-05-04T00:00:00",
          "2011-05-05T00:00:00",
          "2011-05-06T00:00:00",
          "2011-05-09T00:00:00",
          "2011-05-10T00:00:00",
          "2011-05-11T00:00:00",
          "2011-05-12T00:00:00",
          "2011-05-13T00:00:00",
          "2011-05-16T00:00:00",
          "2011-05-17T00:00:00",
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          "2011-05-19T00:00:00",
          "2011-05-20T00:00:00",
          "2011-05-23T00:00:00",
          "2011-05-24T00:00:00",
          "2011-05-25T00:00:00",
          "2011-05-26T00:00:00",
          "2011-05-27T00:00:00",
          "2011-05-30T00:00:00",
          "2011-05-31T00:00:00",
          "2011-06-01T00:00:00",
          "2011-06-02T00:00:00",
          "2011-06-03T00:00:00",
          "2011-06-06T00:00:00",
          "2011-06-07T00:00:00",
          "2011-06-08T00:00:00",
          "2011-06-09T00:00:00",
          "2011-06-10T00:00:00",
          "2011-06-13T00:00:00",
          "2011-06-14T00:00:00",
          "2011-06-15T00:00:00",
          "2011-06-16T00:00:00",
          "2011-06-17T00:00:00",
          "2011-06-20T00:00:00",
          "2011-06-21T00:00:00",
          "2011-06-22T00:00:00",
          "2011-06-23T00:00:00",
          "2011-06-24T00:00:00",
          "2011-06-27T00:00:00",
          "2011-06-28T00:00:00",
          "2011-06-29T00:00:00",
          "2011-06-30T00:00:00",
          "2011-07-01T00:00:00",
          "2011-07-04T00:00:00",
          "2011-07-05T00:00:00",
          "2011-07-06T00:00:00",
          "2011-07-07T00:00:00",
          "2011-07-08T00:00:00",
          "2011-07-11T00:00:00",
          "2011-07-12T00:00:00",
          "2011-07-13T00:00:00",
          "2011-07-14T00:00:00",
          "2011-07-15T00:00:00",
          "2011-07-18T00:00:00",
          "2011-07-19T00:00:00",
          "2011-07-20T00:00:00",
          "2011-07-21T00:00:00",
          "2011-07-22T00:00:00",
          "2011-07-25T00:00:00",
          "2011-07-26T00:00:00",
          "2011-07-27T00:00:00",
          "2011-07-28T00:00:00",
          "2011-07-29T00:00:00",
          "2011-08-01T00:00:00",
          "2011-08-02T00:00:00",
          "2011-08-03T00:00:00",
          "2011-08-04T00:00:00",
          "2011-08-05T00:00:00",
          "2011-08-08T00:00:00",
          "2011-08-09T00:00:00",
          "2011-08-10T00:00:00",
          "2011-08-11T00:00:00",
          "2011-08-12T00:00:00",
          "2011-08-15T00:00:00",
          "2011-08-16T00:00:00",
          "2011-08-17T00:00:00",
          "2011-08-18T00:00:00",
          "2011-08-19T00:00:00",
          "2011-08-22T00:00:00",
          "2011-08-23T00:00:00",
          "2011-08-24T00:00:00",
          "2011-08-25T00:00:00",
          "2011-08-26T00:00:00",
          "2011-08-29T00:00:00",
          "2011-08-30T00:00:00",
          "2011-08-31T00:00:00",
          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-05T00:00:00",
          "2011-09-06T00:00:00",
          "2011-09-07T00:00:00",
          "2011-09-08T00:00:00",
          "2011-09-09T00:00:00",
          "2011-09-12T00:00:00",
          "2011-09-13T00:00:00",
          "2011-09-14T00:00:00",
          "2011-09-15T00:00:00",
          "2011-09-16T00:00:00",
          "2011-09-19T00:00:00",
          "2011-09-20T00:00:00",
          "2011-09-21T00:00:00",
          "2011-09-22T00:00:00",
          "2011-09-23T00:00:00",
          "2011-09-26T00:00:00",
          "2011-09-27T00:00:00",
          "2011-09-28T00:00:00",
          "2011-09-29T00:00:00",
          "2011-09-30T00:00:00",
          "2011-10-04T00:00:00",
          "2011-10-05T00:00:00",
          "2011-10-06T00:00:00",
          "2011-10-07T00:00:00",
          "2011-10-10T00:00:00",
          "2011-10-11T00:00:00",
          "2011-10-12T00:00:00",
          "2011-10-13T00:00:00",
          "2011-10-14T00:00:00",
          "2011-10-17T00:00:00",
          "2011-10-18T00:00:00",
          "2011-10-19T00:00:00",
          "2011-10-20T00:00:00",
          "2011-10-21T00:00:00",
          "2011-10-24T00:00:00",
          "2011-10-25T00:00:00",
          "2011-10-26T00:00:00",
          "2011-10-27T00:00:00",
          "2011-10-28T00:00:00",
          "2011-10-31T00:00:00",
          "2011-11-01T00:00:00",
          "2011-11-02T00:00:00",
          "2011-11-03T00:00:00",
          "2011-11-04T00:00:00",
          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
          "2011-11-10T00:00:00",
          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
          "2011-11-15T00:00:00",
          "2011-11-16T00:00:00",
          "2011-11-17T00:00:00",
          "2011-11-18T00:00:00",
          "2011-11-21T00:00:00",
          "2011-11-22T00:00:00",
          "2011-11-23T00:00:00",
          "2011-11-24T00:00:00",
          "2011-11-25T00:00:00",
          "2011-11-28T00:00:00",
          "2011-11-29T00:00:00",
          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
          "2011-12-02T00:00:00",
          "2011-12-05T00:00:00",
          "2011-12-06T00:00:00",
          "2011-12-07T00:00:00",
          "2011-12-08T00:00:00",
          "2011-12-09T00:00:00",
          "2011-12-12T00:00:00",
          "2011-12-13T00:00:00",
          "2011-12-14T00:00:00",
          "2011-12-15T00:00:00",
          "2011-12-16T00:00:00",
          "2011-12-19T00:00:00",
          "2011-12-20T00:00:00",
          "2011-12-21T00:00:00",
          "2011-12-22T00:00:00",
          "2011-12-23T00:00:00",
          "2011-12-27T00:00:00",
          "2011-12-28T00:00:00",
          "2011-12-29T00:00:00",
          "2011-12-30T00:00:00",
          "2012-01-02T00:00:00",
          "2012-01-03T00:00:00",
          "2012-01-04T00:00:00",
          "2012-01-05T00:00:00",
          "2012-01-06T00:00:00",
          "2012-01-09T00:00:00",
          "2012-01-10T00:00:00",
          "2012-01-11T00:00:00",
          "2012-01-12T00:00:00",
          "2012-01-13T00:00:00",
          "2012-01-16T00:00:00",
          "2012-01-17T00:00:00",
          "2012-01-18T00:00:00",
          "2012-01-19T00:00:00",
          "2012-01-20T00:00:00",
          "2012-01-23T00:00:00",
          "2012-01-24T00:00:00",
          "2012-01-25T00:00:00",
          "2012-01-26T00:00:00",
          "2012-01-27T00:00:00",
          "2012-01-30T00:00:00",
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          "2012-02-01T00:00:00",
          "2012-02-02T00:00:00",
          "2012-02-03T00:00:00",
          "2012-02-06T00:00:00",
          "2012-02-07T00:00:00",
          "2012-02-08T00:00:00",
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          "2012-02-13T00:00:00",
          "2012-02-14T00:00:00",
          "2012-02-15T00:00:00",
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          "2012-02-22T00:00:00",
          "2012-02-23T00:00:00",
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          "2012-02-28T00:00:00",
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          "2012-03-05T00:00:00",
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          "2012-03-07T00:00:00",
          "2012-03-08T00:00:00",
          "2012-03-09T00:00:00",
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          "2012-03-13T00:00:00",
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          "2012-03-21T00:00:00",
          "2012-03-22T00:00:00",
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          "2012-03-26T00:00:00",
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          "2012-04-10T00:00:00",
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          "2012-04-25T00:00:00",
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          "2012-05-04T00:00:00",
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          "2012-05-08T00:00:00",
          "2012-05-09T00:00:00",
          "2012-05-10T00:00:00",
          "2012-05-11T00:00:00",
          "2012-05-14T00:00:00",
          "2012-05-15T00:00:00",
          "2012-05-16T00:00:00",
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          "2012-05-22T00:00:00",
          "2012-05-23T00:00:00",
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          "2012-05-25T00:00:00",
          "2012-05-28T00:00:00",
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          "2012-07-31T00:00:00",
          "2012-08-01T00:00:00",
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          "2012-08-06T00:00:00",
          "2012-08-07T00:00:00",
          "2012-08-08T00:00:00",
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          "2012-12-03T00:00:00",
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          "2013-01-02T00:00:00",
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          "2014-05-14T00:00:00",
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          "2014-05-22T00:00:00",
          "2014-05-23T00:00:00",
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          "2014-05-27T00:00:00",
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          "2014-06-10T00:00:00",
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          "2014-06-12T00:00:00",
          "2014-06-13T00:00:00",
          "2014-06-16T00:00:00",
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          "2014-06-24T00:00:00",
          "2014-06-25T00:00:00",
          "2014-06-26T00:00:00",
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          "2014-07-04T00:00:00",
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          "2014-07-11T00:00:00",
          "2014-07-14T00:00:00",
          "2014-07-15T00:00:00",
          "2014-07-16T00:00:00",
          "2014-07-17T00:00:00",
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          "2014-07-23T00:00:00",
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          "2014-07-25T00:00:00",
          "2014-07-28T00:00:00",
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          "2014-08-08T00:00:00",
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          "2014-08-14T00:00:00",
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          "2014-08-22T00:00:00",
          "2014-08-25T00:00:00",
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          "2014-08-27T00:00:00",
          "2014-08-28T00:00:00",
          "2014-08-29T00:00:00",
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          "2014-09-04T00:00:00",
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          "2014-09-09T00:00:00",
          "2014-09-10T00:00:00",
          "2014-09-11T00:00:00",
          "2014-09-12T00:00:00",
          "2014-09-15T00:00:00",
          "2014-09-16T00:00:00",
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          "2014-09-18T00:00:00",
          "2014-09-19T00:00:00",
          "2014-09-22T00:00:00",
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          "2014-09-24T00:00:00",
          "2014-09-25T00:00:00",
          "2014-09-26T00:00:00",
          "2014-09-29T00:00:00",
          "2014-09-30T00:00:00",
          "2014-10-01T00:00:00",
          "2014-10-02T00:00:00",
          "2014-10-06T00:00:00",
          "2014-10-07T00:00:00",
          "2014-10-08T00:00:00",
          "2014-10-09T00:00:00",
          "2014-10-10T00:00:00",
          "2014-10-13T00:00:00",
          "2014-10-14T00:00:00",
          "2014-10-15T00:00:00",
          "2014-10-16T00:00:00",
          "2014-10-17T00:00:00",
          "2014-10-20T00:00:00",
          "2014-10-21T00:00:00",
          "2014-10-22T00:00:00",
          "2014-10-23T00:00:00",
          "2014-10-24T00:00:00",
          "2014-10-27T00:00:00",
          "2014-10-28T00:00:00",
          "2014-10-29T00:00:00",
          "2014-10-30T00:00:00",
          "2014-10-31T00:00:00",
          "2014-11-03T00:00:00",
          "2014-11-04T00:00:00",
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          "2014-11-06T00:00:00",
          "2014-11-07T00:00:00",
          "2014-11-10T00:00:00",
          "2014-11-11T00:00:00",
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          "2014-11-13T00:00:00",
          "2014-11-14T00:00:00",
          "2014-11-17T00:00:00",
          "2014-11-18T00:00:00",
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          "2014-11-20T00:00:00",
          "2014-11-21T00:00:00",
          "2014-11-24T00:00:00",
          "2014-11-25T00:00:00",
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          "2014-12-01T00:00:00",
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          "2014-12-03T00:00:00",
          "2014-12-04T00:00:00",
          "2014-12-05T00:00:00",
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          "2014-12-09T00:00:00",
          "2014-12-10T00:00:00",
          "2014-12-11T00:00:00",
          "2014-12-12T00:00:00",
          "2014-12-15T00:00:00",
          "2014-12-16T00:00:00",
          "2014-12-17T00:00:00",
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          "2014-12-19T00:00:00",
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          "2015-01-02T00:00:00",
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          "2015-01-06T00:00:00",
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          "2015-08-31T00:00:00",
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",
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          "2010-10-29T00:00:00",
          "2010-11-01T00:00:00",
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          "2010-11-26T00:00:00",
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          "2010-12-01T00:00:00",
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          "2011-01-03T00:00:00",
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          "2011-02-09T00:00:00",
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          "2011-05-27T00:00:00",
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          "2011-06-01T00:00:00",
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          "2011-06-03T00:00:00",
          "2011-06-06T00:00:00",
          "2011-06-07T00:00:00",
          "2011-06-08T00:00:00",
          "2011-06-09T00:00:00",
          "2011-06-10T00:00:00",
          "2011-06-13T00:00:00",
          "2011-06-14T00:00:00",
          "2011-06-15T00:00:00",
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          "2011-06-22T00:00:00",
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          "2011-06-30T00:00:00",
          "2011-07-01T00:00:00",
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          "2011-07-06T00:00:00",
          "2011-07-07T00:00:00",
          "2011-07-08T00:00:00",
          "2011-07-11T00:00:00",
          "2011-07-12T00:00:00",
          "2011-07-13T00:00:00",
          "2011-07-14T00:00:00",
          "2011-07-15T00:00:00",
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          "2011-07-20T00:00:00",
          "2011-07-21T00:00:00",
          "2011-07-22T00:00:00",
          "2011-07-25T00:00:00",
          "2011-07-26T00:00:00",
          "2011-07-27T00:00:00",
          "2011-07-28T00:00:00",
          "2011-07-29T00:00:00",
          "2011-08-01T00:00:00",
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          "2011-08-03T00:00:00",
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          "2011-08-22T00:00:00",
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          "2011-08-25T00:00:00",
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          "2011-08-29T00:00:00",
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          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-05T00:00:00",
          "2011-09-06T00:00:00",
          "2011-09-07T00:00:00",
          "2011-09-08T00:00:00",
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          "2011-09-12T00:00:00",
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          "2011-10-04T00:00:00",
          "2011-10-05T00:00:00",
          "2011-10-06T00:00:00",
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          "2011-10-10T00:00:00",
          "2011-10-11T00:00:00",
          "2011-10-12T00:00:00",
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          "2011-10-25T00:00:00",
          "2011-10-26T00:00:00",
          "2011-10-27T00:00:00",
          "2011-10-28T00:00:00",
          "2011-10-31T00:00:00",
          "2011-11-01T00:00:00",
          "2011-11-02T00:00:00",
          "2011-11-03T00:00:00",
          "2011-11-04T00:00:00",
          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
          "2011-11-10T00:00:00",
          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
          "2011-11-15T00:00:00",
          "2011-11-16T00:00:00",
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          "2011-11-18T00:00:00",
          "2011-11-21T00:00:00",
          "2011-11-22T00:00:00",
          "2011-11-23T00:00:00",
          "2011-11-24T00:00:00",
          "2011-11-25T00:00:00",
          "2011-11-28T00:00:00",
          "2011-11-29T00:00:00",
          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
          "2011-12-02T00:00:00",
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          "2011-12-06T00:00:00",
          "2011-12-07T00:00:00",
          "2011-12-08T00:00:00",
          "2011-12-09T00:00:00",
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          "2011-12-13T00:00:00",
          "2011-12-14T00:00:00",
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          "2012-01-02T00:00:00",
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          "2014-01-24T00:00:00",
          "2014-01-27T00:00:00",
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          "2014-02-03T00:00:00",
          "2014-02-04T00:00:00",
          "2014-02-05T00:00:00",
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          "2014-02-11T00:00:00",
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          "2014-02-24T00:00:00",
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          "2014-04-29T00:00:00",
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          "2014-05-05T00:00:00",
          "2014-05-06T00:00:00",
          "2014-05-07T00:00:00",
          "2014-05-08T00:00:00",
          "2014-05-09T00:00:00",
          "2014-05-12T00:00:00",
          "2014-05-13T00:00:00",
          "2014-05-14T00:00:00",
          "2014-05-15T00:00:00",
          "2014-05-16T00:00:00",
          "2014-05-19T00:00:00",
          "2014-05-20T00:00:00",
          "2014-05-21T00:00:00",
          "2014-05-22T00:00:00",
          "2014-05-23T00:00:00",
          "2014-05-26T00:00:00",
          "2014-05-27T00:00:00",
          "2014-05-28T00:00:00",
          "2014-05-29T00:00:00",
          "2014-05-30T00:00:00",
          "2014-06-02T00:00:00",
          "2014-06-03T00:00:00",
          "2014-06-04T00:00:00",
          "2014-06-05T00:00:00",
          "2014-06-06T00:00:00",
          "2014-06-09T00:00:00",
          "2014-06-10T00:00:00",
          "2014-06-11T00:00:00",
          "2014-06-12T00:00:00",
          "2014-06-13T00:00:00",
          "2014-06-16T00:00:00",
          "2014-06-17T00:00:00",
          "2014-06-18T00:00:00",
          "2014-06-19T00:00:00",
          "2014-06-20T00:00:00",
          "2014-06-23T00:00:00",
          "2014-06-24T00:00:00",
          "2014-06-25T00:00:00",
          "2014-06-26T00:00:00",
          "2014-06-27T00:00:00",
          "2014-06-30T00:00:00",
          "2014-07-01T00:00:00",
          "2014-07-02T00:00:00",
          "2014-07-03T00:00:00",
          "2014-07-04T00:00:00",
          "2014-07-07T00:00:00",
          "2014-07-08T00:00:00",
          "2014-07-09T00:00:00",
          "2014-07-10T00:00:00",
          "2014-07-11T00:00:00",
          "2014-07-14T00:00:00",
          "2014-07-15T00:00:00",
          "2014-07-16T00:00:00",
          "2014-07-17T00:00:00",
          "2014-07-18T00:00:00",
          "2014-07-21T00:00:00",
          "2014-07-22T00:00:00",
          "2014-07-23T00:00:00",
          "2014-07-24T00:00:00",
          "2014-07-25T00:00:00",
          "2014-07-28T00:00:00",
          "2014-07-29T00:00:00",
          "2014-07-30T00:00:00",
          "2014-07-31T00:00:00",
          "2014-08-01T00:00:00",
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          "2014-08-05T00:00:00",
          "2014-08-06T00:00:00",
          "2014-08-07T00:00:00",
          "2014-08-08T00:00:00",
          "2014-08-11T00:00:00",
          "2014-08-12T00:00:00",
          "2014-08-13T00:00:00",
          "2014-08-14T00:00:00",
          "2014-08-15T00:00:00",
          "2014-08-18T00:00:00",
          "2014-08-19T00:00:00",
          "2014-08-20T00:00:00",
          "2014-08-21T00:00:00",
          "2014-08-22T00:00:00",
          "2014-08-25T00:00:00",
          "2014-08-26T00:00:00",
          "2014-08-27T00:00:00",
          "2014-08-28T00:00:00",
          "2014-08-29T00:00:00",
          "2014-09-01T00:00:00",
          "2014-09-02T00:00:00",
          "2014-09-03T00:00:00",
          "2014-09-04T00:00:00",
          "2014-09-05T00:00:00",
          "2014-09-08T00:00:00",
          "2014-09-09T00:00:00",
          "2014-09-10T00:00:00",
          "2014-09-11T00:00:00",
          "2014-09-12T00:00:00",
          "2014-09-15T00:00:00",
          "2014-09-16T00:00:00",
          "2014-09-17T00:00:00",
          "2014-09-18T00:00:00",
          "2014-09-19T00:00:00",
          "2014-09-22T00:00:00",
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          "2014-09-24T00:00:00",
          "2014-09-25T00:00:00",
          "2014-09-26T00:00:00",
          "2014-09-29T00:00:00",
          "2014-09-30T00:00:00",
          "2014-10-01T00:00:00",
          "2014-10-02T00:00:00",
          "2014-10-06T00:00:00",
          "2014-10-07T00:00:00",
          "2014-10-08T00:00:00",
          "2014-10-09T00:00:00",
          "2014-10-10T00:00:00",
          "2014-10-13T00:00:00",
          "2014-10-14T00:00:00",
          "2014-10-15T00:00:00",
          "2014-10-16T00:00:00",
          "2014-10-17T00:00:00",
          "2014-10-20T00:00:00",
          "2014-10-21T00:00:00",
          "2014-10-22T00:00:00",
          "2014-10-23T00:00:00",
          "2014-10-24T00:00:00",
          "2014-10-27T00:00:00",
          "2014-10-28T00:00:00",
          "2014-10-29T00:00:00",
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          "2014-11-06T00:00:00",
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          "2014-11-13T00:00:00",
          "2014-11-14T00:00:00",
          "2014-11-17T00:00:00",
          "2014-11-18T00:00:00",
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          "2014-11-20T00:00:00",
          "2014-11-21T00:00:00",
          "2014-11-24T00:00:00",
          "2014-11-25T00:00:00",
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          "2015-01-02T00:00:00",
          "2015-01-05T00:00:00",
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          "2015-01-22T00:00:00",
          "2015-01-23T00:00:00",
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          "2015-01-27T00:00:00",
          "2015-01-28T00:00:00",
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          "2015-02-03T00:00:00",
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          "2015-02-10T00:00:00",
          "2015-02-11T00:00:00",
          "2015-02-12T00:00:00",
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          "2015-02-16T00:00:00",
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          "2015-02-19T00:00:00",
          "2015-02-20T00:00:00",
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          "2015-05-05T00:00:00",
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          "2015-05-08T00:00:00",
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          "2015-05-14T00:00:00",
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          "2015-05-22T00:00:00",
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          "2015-06-04T00:00:00",
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          "2015-07-06T00:00:00",
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          "2015-07-16T00:00:00",
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          "2015-07-22T00:00:00",
          "2015-07-23T00:00:00",
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          "2015-07-27T00:00:00",
          "2015-07-28T00:00:00",
          "2015-07-29T00:00:00",
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          "2015-08-24T00:00:00",
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          "2015-08-26T00:00:00",
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          "2015-08-31T00:00:00",
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          "2015-09-04T00:00:00",
          "2015-09-07T00:00:00",
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          "2015-10-08T00:00:00",
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          "2015-10-22T00:00:00",
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          "2015-12-22T00:00:00",
          "2015-12-23T00:00:00",
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          "2016-01-04T00:00:00",
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          "2011-02-24T00:00:00",
          "2011-02-25T00:00:00",
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          "2011-06-08T00:00:00",
          "2011-06-09T00:00:00",
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          "2011-06-13T00:00:00",
          "2011-06-14T00:00:00",
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          "2011-06-22T00:00:00",
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          "2011-06-29T00:00:00",
          "2011-06-30T00:00:00",
          "2011-07-01T00:00:00",
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          "2011-07-05T00:00:00",
          "2011-07-06T00:00:00",
          "2011-07-07T00:00:00",
          "2011-07-08T00:00:00",
          "2011-07-11T00:00:00",
          "2011-07-12T00:00:00",
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          "2011-07-14T00:00:00",
          "2011-07-15T00:00:00",
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          "2011-07-22T00:00:00",
          "2011-07-25T00:00:00",
          "2011-07-26T00:00:00",
          "2011-07-27T00:00:00",
          "2011-07-28T00:00:00",
          "2011-07-29T00:00:00",
          "2011-08-01T00:00:00",
          "2011-08-02T00:00:00",
          "2011-08-03T00:00:00",
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          "2011-08-08T00:00:00",
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          "2011-08-12T00:00:00",
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          "2011-08-22T00:00:00",
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          "2011-08-25T00:00:00",
          "2011-08-26T00:00:00",
          "2011-08-29T00:00:00",
          "2011-08-30T00:00:00",
          "2011-08-31T00:00:00",
          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-05T00:00:00",
          "2011-09-06T00:00:00",
          "2011-09-07T00:00:00",
          "2011-09-08T00:00:00",
          "2011-09-09T00:00:00",
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          "2011-09-26T00:00:00",
          "2011-09-27T00:00:00",
          "2011-09-28T00:00:00",
          "2011-09-29T00:00:00",
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          "2011-10-04T00:00:00",
          "2011-10-05T00:00:00",
          "2011-10-06T00:00:00",
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          "2011-10-10T00:00:00",
          "2011-10-11T00:00:00",
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          "2011-10-26T00:00:00",
          "2011-10-27T00:00:00",
          "2011-10-28T00:00:00",
          "2011-10-31T00:00:00",
          "2011-11-01T00:00:00",
          "2011-11-02T00:00:00",
          "2011-11-03T00:00:00",
          "2011-11-04T00:00:00",
          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
          "2011-11-10T00:00:00",
          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
          "2011-11-15T00:00:00",
          "2011-11-16T00:00:00",
          "2011-11-17T00:00:00",
          "2011-11-18T00:00:00",
          "2011-11-21T00:00:00",
          "2011-11-22T00:00:00",
          "2011-11-23T00:00:00",
          "2011-11-24T00:00:00",
          "2011-11-25T00:00:00",
          "2011-11-28T00:00:00",
          "2011-11-29T00:00:00",
          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
          "2011-12-02T00:00:00",
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          "2011-12-07T00:00:00",
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          "2011-12-14T00:00:00",
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          "2012-01-02T00:00:00",
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          "2011-02-22T00:00:00",
          "2011-02-23T00:00:00",
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          "2011-06-01T00:00:00",
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          "2011-06-03T00:00:00",
          "2011-06-06T00:00:00",
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          "2011-06-09T00:00:00",
          "2011-06-10T00:00:00",
          "2011-06-13T00:00:00",
          "2011-06-14T00:00:00",
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          "2011-06-16T00:00:00",
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          "2011-06-28T00:00:00",
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          "2011-06-30T00:00:00",
          "2011-07-01T00:00:00",
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          "2011-07-05T00:00:00",
          "2011-07-06T00:00:00",
          "2011-07-07T00:00:00",
          "2011-07-08T00:00:00",
          "2011-07-11T00:00:00",
          "2011-07-12T00:00:00",
          "2011-07-13T00:00:00",
          "2011-07-14T00:00:00",
          "2011-07-15T00:00:00",
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          "2011-07-20T00:00:00",
          "2011-07-21T00:00:00",
          "2011-07-22T00:00:00",
          "2011-07-25T00:00:00",
          "2011-07-26T00:00:00",
          "2011-07-27T00:00:00",
          "2011-07-28T00:00:00",
          "2011-07-29T00:00:00",
          "2011-08-01T00:00:00",
          "2011-08-02T00:00:00",
          "2011-08-03T00:00:00",
          "2011-08-04T00:00:00",
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          "2011-08-10T00:00:00",
          "2011-08-11T00:00:00",
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          "2011-08-22T00:00:00",
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          "2011-08-25T00:00:00",
          "2011-08-26T00:00:00",
          "2011-08-29T00:00:00",
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          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-05T00:00:00",
          "2011-09-06T00:00:00",
          "2011-09-07T00:00:00",
          "2011-09-08T00:00:00",
          "2011-09-09T00:00:00",
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          "2011-09-26T00:00:00",
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          "2011-09-28T00:00:00",
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          "2011-10-05T00:00:00",
          "2011-10-06T00:00:00",
          "2011-10-07T00:00:00",
          "2011-10-10T00:00:00",
          "2011-10-11T00:00:00",
          "2011-10-12T00:00:00",
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          "2011-10-25T00:00:00",
          "2011-10-26T00:00:00",
          "2011-10-27T00:00:00",
          "2011-10-28T00:00:00",
          "2011-10-31T00:00:00",
          "2011-11-01T00:00:00",
          "2011-11-02T00:00:00",
          "2011-11-03T00:00:00",
          "2011-11-04T00:00:00",
          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
          "2011-11-10T00:00:00",
          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
          "2011-11-15T00:00:00",
          "2011-11-16T00:00:00",
          "2011-11-17T00:00:00",
          "2011-11-18T00:00:00",
          "2011-11-21T00:00:00",
          "2011-11-22T00:00:00",
          "2011-11-23T00:00:00",
          "2011-11-24T00:00:00",
          "2011-11-25T00:00:00",
          "2011-11-28T00:00:00",
          "2011-11-29T00:00:00",
          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
          "2011-12-02T00:00:00",
          "2011-12-05T00:00:00",
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          "2011-12-07T00:00:00",
          "2011-12-08T00:00:00",
          "2011-12-09T00:00:00",
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          "2011-12-14T00:00:00",
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          "2012-01-02T00:00:00",
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          "2013-11-27T00:00:00",
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          "2014-01-28T00:00:00",
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          "2014-02-05T00:00:00",
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          "2014-02-10T00:00:00",
          "2014-02-11T00:00:00",
          "2014-02-12T00:00:00",
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          "2014-02-24T00:00:00",
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          "2014-05-08T00:00:00",
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          "2014-05-13T00:00:00",
          "2014-05-14T00:00:00",
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          "2014-05-22T00:00:00",
          "2014-05-23T00:00:00",
          "2014-05-26T00:00:00",
          "2014-05-27T00:00:00",
          "2014-05-28T00:00:00",
          "2014-05-29T00:00:00",
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          "2014-06-02T00:00:00",
          "2014-06-03T00:00:00",
          "2014-06-04T00:00:00",
          "2014-06-05T00:00:00",
          "2014-06-06T00:00:00",
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          "2014-06-10T00:00:00",
          "2014-06-11T00:00:00",
          "2014-06-12T00:00:00",
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          "2014-06-16T00:00:00",
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          "2014-06-24T00:00:00",
          "2014-06-25T00:00:00",
          "2014-06-26T00:00:00",
          "2014-06-27T00:00:00",
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          "2014-07-04T00:00:00",
          "2014-07-07T00:00:00",
          "2014-07-08T00:00:00",
          "2014-07-09T00:00:00",
          "2014-07-10T00:00:00",
          "2014-07-11T00:00:00",
          "2014-07-14T00:00:00",
          "2014-07-15T00:00:00",
          "2014-07-16T00:00:00",
          "2014-07-17T00:00:00",
          "2014-07-18T00:00:00",
          "2014-07-21T00:00:00",
          "2014-07-22T00:00:00",
          "2014-07-23T00:00:00",
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          "2014-07-25T00:00:00",
          "2014-07-28T00:00:00",
          "2014-07-29T00:00:00",
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          "2014-08-01T00:00:00",
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          "2014-08-08T00:00:00",
          "2014-08-11T00:00:00",
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          "2014-08-13T00:00:00",
          "2014-08-14T00:00:00",
          "2014-08-15T00:00:00",
          "2014-08-18T00:00:00",
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          "2014-08-20T00:00:00",
          "2014-08-21T00:00:00",
          "2014-08-22T00:00:00",
          "2014-08-25T00:00:00",
          "2014-08-26T00:00:00",
          "2014-08-27T00:00:00",
          "2014-08-28T00:00:00",
          "2014-08-29T00:00:00",
          "2014-09-01T00:00:00",
          "2014-09-02T00:00:00",
          "2014-09-03T00:00:00",
          "2014-09-04T00:00:00",
          "2014-09-05T00:00:00",
          "2014-09-08T00:00:00",
          "2014-09-09T00:00:00",
          "2014-09-10T00:00:00",
          "2014-09-11T00:00:00",
          "2014-09-12T00:00:00",
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          "2014-09-25T00:00:00",
          "2014-09-26T00:00:00",
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          "2014-10-01T00:00:00",
          "2014-10-02T00:00:00",
          "2014-10-06T00:00:00",
          "2014-10-07T00:00:00",
          "2014-10-08T00:00:00",
          "2014-10-09T00:00:00",
          "2014-10-10T00:00:00",
          "2014-10-13T00:00:00",
          "2014-10-14T00:00:00",
          "2014-10-15T00:00:00",
          "2014-10-16T00:00:00",
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          "2014-10-21T00:00:00",
          "2014-10-22T00:00:00",
          "2014-10-23T00:00:00",
          "2014-10-24T00:00:00",
          "2014-10-27T00:00:00",
          "2014-10-28T00:00:00",
          "2014-10-29T00:00:00",
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          "2014-11-13T00:00:00",
          "2014-11-14T00:00:00",
          "2014-11-17T00:00:00",
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          "2014-11-21T00:00:00",
          "2014-11-24T00:00:00",
          "2014-11-25T00:00:00",
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          "2014-12-01T00:00:00",
          "2014-12-02T00:00:00",
          "2014-12-03T00:00:00",
          "2014-12-04T00:00:00",
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          "2014-12-08T00:00:00",
          "2014-12-09T00:00:00",
          "2014-12-10T00:00:00",
          "2014-12-11T00:00:00",
          "2014-12-12T00:00:00",
          "2014-12-15T00:00:00",
          "2014-12-16T00:00:00",
          "2014-12-17T00:00:00",
          "2014-12-18T00:00:00",
          "2014-12-19T00:00:00",
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          "2015-01-02T00:00:00",
          "2015-01-05T00:00:00",
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          "2015-01-07T00:00:00",
          "2015-01-08T00:00:00",
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          "2015-01-22T00:00:00",
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          "2013-10-16T00:00:00",
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          "2014-05-22T00:00:00",
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          "2014-05-28T00:00:00",
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          "2014-06-03T00:00:00",
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          "2014-06-10T00:00:00",
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          "2014-06-26T00:00:00",
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          "2014-07-04T00:00:00",
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          "2014-07-10T00:00:00",
          "2014-07-11T00:00:00",
          "2014-07-14T00:00:00",
          "2014-07-15T00:00:00",
          "2014-07-16T00:00:00",
          "2014-07-17T00:00:00",
          "2014-07-18T00:00:00",
          "2014-07-21T00:00:00",
          "2014-07-22T00:00:00",
          "2014-07-23T00:00:00",
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          "2014-07-25T00:00:00",
          "2014-07-28T00:00:00",
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          "2014-08-14T00:00:00",
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          "2014-08-22T00:00:00",
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          "2014-09-04T00:00:00",
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          "2014-09-12T00:00:00",
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          "2014-09-25T00:00:00",
          "2014-09-26T00:00:00",
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          "2014-10-01T00:00:00",
          "2014-10-02T00:00:00",
          "2014-10-06T00:00:00",
          "2014-10-07T00:00:00",
          "2014-10-08T00:00:00",
          "2014-10-09T00:00:00",
          "2014-10-10T00:00:00",
          "2014-10-13T00:00:00",
          "2014-10-14T00:00:00",
          "2014-10-15T00:00:00",
          "2014-10-16T00:00:00",
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          "2014-10-20T00:00:00",
          "2014-10-21T00:00:00",
          "2014-10-22T00:00:00",
          "2014-10-23T00:00:00",
          "2014-10-24T00:00:00",
          "2014-10-27T00:00:00",
          "2014-10-28T00:00:00",
          "2014-10-29T00:00:00",
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          "2014-11-12T00:00:00",
          "2014-11-13T00:00:00",
          "2014-11-14T00:00:00",
          "2014-11-17T00:00:00",
          "2014-11-18T00:00:00",
          "2014-11-19T00:00:00",
          "2014-11-20T00:00:00",
          "2014-11-21T00:00:00",
          "2014-11-24T00:00:00",
          "2014-11-25T00:00:00",
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          "2014-12-01T00:00:00",
          "2014-12-02T00:00:00",
          "2014-12-03T00:00:00",
          "2014-12-04T00:00:00",
          "2014-12-05T00:00:00",
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          "2014-12-10T00:00:00",
          "2014-12-11T00:00:00",
          "2014-12-12T00:00:00",
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          "2014-12-16T00:00:00",
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          "2014-12-19T00:00:00",
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          "2015-01-02T00:00:00",
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          "2015-01-08T00:00:00",
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          "2015-09-25T00:00:00",
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          "2014-05-22T00:00:00",
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          "2014-06-10T00:00:00",
          "2014-06-11T00:00:00",
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          "2014-06-16T00:00:00",
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          "2014-06-23T00:00:00",
          "2014-06-24T00:00:00",
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          "2014-07-04T00:00:00",
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          "2014-07-08T00:00:00",
          "2014-07-09T00:00:00",
          "2014-07-10T00:00:00",
          "2014-07-11T00:00:00",
          "2014-07-14T00:00:00",
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          "2014-07-16T00:00:00",
          "2014-07-17T00:00:00",
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          "2014-07-22T00:00:00",
          "2014-07-23T00:00:00",
          "2014-07-24T00:00:00",
          "2014-07-25T00:00:00",
          "2014-07-28T00:00:00",
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          "2014-08-11T00:00:00",
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          "2014-08-14T00:00:00",
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          "2014-08-21T00:00:00",
          "2014-08-22T00:00:00",
          "2014-08-25T00:00:00",
          "2014-08-26T00:00:00",
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          "2014-08-29T00:00:00",
          "2014-09-01T00:00:00",
          "2014-09-02T00:00:00",
          "2014-09-03T00:00:00",
          "2014-09-04T00:00:00",
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          "2014-09-08T00:00:00",
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          "2014-09-10T00:00:00",
          "2014-09-11T00:00:00",
          "2014-09-12T00:00:00",
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          "2014-09-16T00:00:00",
          "2014-09-17T00:00:00",
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          "2014-09-19T00:00:00",
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          "2014-09-25T00:00:00",
          "2014-09-26T00:00:00",
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          "2014-10-02T00:00:00",
          "2014-10-06T00:00:00",
          "2014-10-07T00:00:00",
          "2014-10-08T00:00:00",
          "2014-10-09T00:00:00",
          "2014-10-10T00:00:00",
          "2014-10-13T00:00:00",
          "2014-10-14T00:00:00",
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          "2014-10-21T00:00:00",
          "2014-10-22T00:00:00",
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          "2014-10-24T00:00:00",
          "2014-10-27T00:00:00",
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          "2014-11-24T00:00:00",
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          "2014-12-15T00:00:00",
          "2014-12-16T00:00:00",
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          "2014-12-19T00:00:00",
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          "2015-01-02T00:00:00",
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          "2015-01-22T00:00:00",
          "2015-01-23T00:00:00",
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          "2011-01-14T00:00:00",
          "2011-01-17T00:00:00",
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          "2011-02-01T00:00:00",
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          "2011-03-11T00:00:00",
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          "2011-03-22T00:00:00",
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          "2011-04-27T00:00:00",
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          "2011-05-04T00:00:00",
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          "2011-05-09T00:00:00",
          "2011-05-10T00:00:00",
          "2011-05-11T00:00:00",
          "2011-05-12T00:00:00",
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          "2011-05-18T00:00:00",
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          "2011-05-20T00:00:00",
          "2011-05-23T00:00:00",
          "2011-05-24T00:00:00",
          "2011-05-25T00:00:00",
          "2011-05-26T00:00:00",
          "2011-05-27T00:00:00",
          "2011-05-30T00:00:00",
          "2011-05-31T00:00:00",
          "2011-06-01T00:00:00",
          "2011-06-02T00:00:00",
          "2011-06-03T00:00:00",
          "2011-06-06T00:00:00",
          "2011-06-07T00:00:00",
          "2011-06-08T00:00:00",
          "2011-06-09T00:00:00",
          "2011-06-10T00:00:00",
          "2011-06-13T00:00:00",
          "2011-06-14T00:00:00",
          "2011-06-15T00:00:00",
          "2011-06-16T00:00:00",
          "2011-06-17T00:00:00",
          "2011-06-20T00:00:00",
          "2011-06-21T00:00:00",
          "2011-06-22T00:00:00",
          "2011-06-23T00:00:00",
          "2011-06-24T00:00:00",
          "2011-06-27T00:00:00",
          "2011-06-28T00:00:00",
          "2011-06-29T00:00:00",
          "2011-06-30T00:00:00",
          "2011-07-01T00:00:00",
          "2011-07-04T00:00:00",
          "2011-07-05T00:00:00",
          "2011-07-06T00:00:00",
          "2011-07-07T00:00:00",
          "2011-07-08T00:00:00",
          "2011-07-11T00:00:00",
          "2011-07-12T00:00:00",
          "2011-07-13T00:00:00",
          "2011-07-14T00:00:00",
          "2011-07-15T00:00:00",
          "2011-07-18T00:00:00",
          "2011-07-19T00:00:00",
          "2011-07-20T00:00:00",
          "2011-07-21T00:00:00",
          "2011-07-22T00:00:00",
          "2011-07-25T00:00:00",
          "2011-07-26T00:00:00",
          "2011-07-27T00:00:00",
          "2011-07-28T00:00:00",
          "2011-07-29T00:00:00",
          "2011-08-01T00:00:00",
          "2011-08-02T00:00:00",
          "2011-08-03T00:00:00",
          "2011-08-04T00:00:00",
          "2011-08-05T00:00:00",
          "2011-08-08T00:00:00",
          "2011-08-09T00:00:00",
          "2011-08-10T00:00:00",
          "2011-08-11T00:00:00",
          "2011-08-12T00:00:00",
          "2011-08-15T00:00:00",
          "2011-08-16T00:00:00",
          "2011-08-17T00:00:00",
          "2011-08-18T00:00:00",
          "2011-08-19T00:00:00",
          "2011-08-22T00:00:00",
          "2011-08-23T00:00:00",
          "2011-08-24T00:00:00",
          "2011-08-25T00:00:00",
          "2011-08-26T00:00:00",
          "2011-08-29T00:00:00",
          "2011-08-30T00:00:00",
          "2011-08-31T00:00:00",
          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-05T00:00:00",
          "2011-09-06T00:00:00",
          "2011-09-07T00:00:00",
          "2011-09-08T00:00:00",
          "2011-09-09T00:00:00",
          "2011-09-12T00:00:00",
          "2011-09-13T00:00:00",
          "2011-09-14T00:00:00",
          "2011-09-15T00:00:00",
          "2011-09-16T00:00:00",
          "2011-09-19T00:00:00",
          "2011-09-20T00:00:00",
          "2011-09-21T00:00:00",
          "2011-09-22T00:00:00",
          "2011-09-23T00:00:00",
          "2011-09-26T00:00:00",
          "2011-09-27T00:00:00",
          "2011-09-28T00:00:00",
          "2011-09-29T00:00:00",
          "2011-09-30T00:00:00",
          "2011-10-04T00:00:00",
          "2011-10-05T00:00:00",
          "2011-10-06T00:00:00",
          "2011-10-07T00:00:00",
          "2011-10-10T00:00:00",
          "2011-10-11T00:00:00",
          "2011-10-12T00:00:00",
          "2011-10-13T00:00:00",
          "2011-10-14T00:00:00",
          "2011-10-17T00:00:00",
          "2011-10-18T00:00:00",
          "2011-10-19T00:00:00",
          "2011-10-20T00:00:00",
          "2011-10-21T00:00:00",
          "2011-10-24T00:00:00",
          "2011-10-25T00:00:00",
          "2011-10-26T00:00:00",
          "2011-10-27T00:00:00",
          "2011-10-28T00:00:00",
          "2011-10-31T00:00:00",
          "2011-11-01T00:00:00",
          "2011-11-02T00:00:00",
          "2011-11-03T00:00:00",
          "2011-11-04T00:00:00",
          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
          "2011-11-10T00:00:00",
          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
          "2011-11-15T00:00:00",
          "2011-11-16T00:00:00",
          "2011-11-17T00:00:00",
          "2011-11-18T00:00:00",
          "2011-11-21T00:00:00",
          "2011-11-22T00:00:00",
          "2011-11-23T00:00:00",
          "2011-11-24T00:00:00",
          "2011-11-25T00:00:00",
          "2011-11-28T00:00:00",
          "2011-11-29T00:00:00",
          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
          "2011-12-02T00:00:00",
          "2011-12-05T00:00:00",
          "2011-12-06T00:00:00",
          "2011-12-07T00:00:00",
          "2011-12-08T00:00:00",
          "2011-12-09T00:00:00",
          "2011-12-12T00:00:00",
          "2011-12-13T00:00:00",
          "2011-12-14T00:00:00",
          "2011-12-15T00:00:00",
          "2011-12-16T00:00:00",
          "2011-12-19T00:00:00",
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          "2011-12-21T00:00:00",
          "2011-12-22T00:00:00",
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          "2011-12-27T00:00:00",
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          "2011-12-29T00:00:00",
          "2011-12-30T00:00:00",
          "2012-01-02T00:00:00",
          "2012-01-03T00:00:00",
          "2012-01-04T00:00:00",
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          "2012-01-09T00:00:00",
          "2012-01-10T00:00:00",
          "2012-01-11T00:00:00",
          "2012-01-12T00:00:00",
          "2012-01-13T00:00:00",
          "2012-01-16T00:00:00",
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          "2012-01-18T00:00:00",
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          "2012-01-20T00:00:00",
          "2012-01-23T00:00:00",
          "2012-01-24T00:00:00",
          "2012-01-25T00:00:00",
          "2012-01-26T00:00:00",
          "2012-01-27T00:00:00",
          "2012-01-30T00:00:00",
          "2012-01-31T00:00:00",
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          "2012-02-02T00:00:00",
          "2012-02-03T00:00:00",
          "2012-02-06T00:00:00",
          "2012-02-07T00:00:00",
          "2012-02-08T00:00:00",
          "2012-02-09T00:00:00",
          "2012-02-10T00:00:00",
          "2012-02-13T00:00:00",
          "2012-02-14T00:00:00",
          "2012-02-15T00:00:00",
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          "2012-02-27T00:00:00",
          "2012-02-28T00:00:00",
          "2012-02-29T00:00:00",
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          "2012-03-02T00:00:00",
          "2012-03-05T00:00:00",
          "2012-03-06T00:00:00",
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          "2012-03-08T00:00:00",
          "2012-03-09T00:00:00",
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          "2012-03-13T00:00:00",
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          "2012-04-27T00:00:00",
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          "2012-05-04T00:00:00",
          "2012-05-07T00:00:00",
          "2012-05-08T00:00:00",
          "2012-05-09T00:00:00",
          "2012-05-10T00:00:00",
          "2012-05-11T00:00:00",
          "2012-05-14T00:00:00",
          "2012-05-15T00:00:00",
          "2012-05-16T00:00:00",
          "2012-05-17T00:00:00",
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          "2012-05-21T00:00:00",
          "2012-05-22T00:00:00",
          "2012-05-23T00:00:00",
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          "2013-01-02T00:00:00",
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          "2014-02-13T00:00:00",
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          "2014-05-08T00:00:00",
          "2014-05-09T00:00:00",
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          "2014-05-13T00:00:00",
          "2014-05-14T00:00:00",
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          "2014-05-16T00:00:00",
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          "2014-05-21T00:00:00",
          "2014-05-22T00:00:00",
          "2014-05-23T00:00:00",
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          "2014-05-27T00:00:00",
          "2014-05-28T00:00:00",
          "2014-05-29T00:00:00",
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          "2014-06-03T00:00:00",
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          "2014-06-09T00:00:00",
          "2014-06-10T00:00:00",
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          "2014-06-12T00:00:00",
          "2014-06-13T00:00:00",
          "2014-06-16T00:00:00",
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          "2014-06-20T00:00:00",
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          "2014-06-24T00:00:00",
          "2014-06-25T00:00:00",
          "2014-06-26T00:00:00",
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          "2014-06-30T00:00:00",
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          "2014-07-04T00:00:00",
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          "2014-07-10T00:00:00",
          "2014-07-11T00:00:00",
          "2014-07-14T00:00:00",
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          "2014-07-16T00:00:00",
          "2014-07-17T00:00:00",
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          "2014-07-21T00:00:00",
          "2014-07-22T00:00:00",
          "2014-07-23T00:00:00",
          "2014-07-24T00:00:00",
          "2014-07-25T00:00:00",
          "2014-07-28T00:00:00",
          "2014-07-29T00:00:00",
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          "2014-07-31T00:00:00",
          "2014-08-01T00:00:00",
          "2014-08-04T00:00:00",
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          "2014-08-07T00:00:00",
          "2014-08-08T00:00:00",
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          "2014-08-13T00:00:00",
          "2014-08-14T00:00:00",
          "2014-08-15T00:00:00",
          "2014-08-18T00:00:00",
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          "2014-08-21T00:00:00",
          "2014-08-22T00:00:00",
          "2014-08-25T00:00:00",
          "2014-08-26T00:00:00",
          "2014-08-27T00:00:00",
          "2014-08-28T00:00:00",
          "2014-08-29T00:00:00",
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          "2014-09-02T00:00:00",
          "2014-09-03T00:00:00",
          "2014-09-04T00:00:00",
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          "2014-09-08T00:00:00",
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          "2014-09-10T00:00:00",
          "2014-09-11T00:00:00",
          "2014-09-12T00:00:00",
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          "2014-09-16T00:00:00",
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          "2014-09-18T00:00:00",
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          "2014-09-25T00:00:00",
          "2014-09-26T00:00:00",
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          "2014-10-01T00:00:00",
          "2014-10-02T00:00:00",
          "2014-10-06T00:00:00",
          "2014-10-07T00:00:00",
          "2014-10-08T00:00:00",
          "2014-10-09T00:00:00",
          "2014-10-10T00:00:00",
          "2014-10-13T00:00:00",
          "2014-10-14T00:00:00",
          "2014-10-15T00:00:00",
          "2014-10-16T00:00:00",
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          "2014-10-20T00:00:00",
          "2014-10-21T00:00:00",
          "2014-10-22T00:00:00",
          "2014-10-23T00:00:00",
          "2014-10-24T00:00:00",
          "2014-10-27T00:00:00",
          "2014-10-28T00:00:00",
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          "2014-11-13T00:00:00",
          "2014-11-14T00:00:00",
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          "2014-11-21T00:00:00",
          "2014-11-24T00:00:00",
          "2014-11-25T00:00:00",
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          "2015-05-08T00:00:00",
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          "2015-10-08T00:00:00",
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          "2016-01-04T00:00:00",
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          "2011-02-10T00:00:00",
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          "2011-05-10T00:00:00",
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          "2011-05-27T00:00:00",
          "2011-05-30T00:00:00",
          "2011-05-31T00:00:00",
          "2011-06-01T00:00:00",
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          "2011-06-06T00:00:00",
          "2011-06-07T00:00:00",
          "2011-06-08T00:00:00",
          "2011-06-09T00:00:00",
          "2011-06-10T00:00:00",
          "2011-06-13T00:00:00",
          "2011-06-14T00:00:00",
          "2011-06-15T00:00:00",
          "2011-06-16T00:00:00",
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          "2011-06-22T00:00:00",
          "2011-06-23T00:00:00",
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          "2011-06-27T00:00:00",
          "2011-06-28T00:00:00",
          "2011-06-29T00:00:00",
          "2011-06-30T00:00:00",
          "2011-07-01T00:00:00",
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          "2011-07-05T00:00:00",
          "2011-07-06T00:00:00",
          "2011-07-07T00:00:00",
          "2011-07-08T00:00:00",
          "2011-07-11T00:00:00",
          "2011-07-12T00:00:00",
          "2011-07-13T00:00:00",
          "2011-07-14T00:00:00",
          "2011-07-15T00:00:00",
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          "2011-07-19T00:00:00",
          "2011-07-20T00:00:00",
          "2011-07-21T00:00:00",
          "2011-07-22T00:00:00",
          "2011-07-25T00:00:00",
          "2011-07-26T00:00:00",
          "2011-07-27T00:00:00",
          "2011-07-28T00:00:00",
          "2011-07-29T00:00:00",
          "2011-08-01T00:00:00",
          "2011-08-02T00:00:00",
          "2011-08-03T00:00:00",
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          "2011-08-05T00:00:00",
          "2011-08-08T00:00:00",
          "2011-08-09T00:00:00",
          "2011-08-10T00:00:00",
          "2011-08-11T00:00:00",
          "2011-08-12T00:00:00",
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          "2011-08-22T00:00:00",
          "2011-08-23T00:00:00",
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          "2011-08-25T00:00:00",
          "2011-08-26T00:00:00",
          "2011-08-29T00:00:00",
          "2011-08-30T00:00:00",
          "2011-08-31T00:00:00",
          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-05T00:00:00",
          "2011-09-06T00:00:00",
          "2011-09-07T00:00:00",
          "2011-09-08T00:00:00",
          "2011-09-09T00:00:00",
          "2011-09-12T00:00:00",
          "2011-09-13T00:00:00",
          "2011-09-14T00:00:00",
          "2011-09-15T00:00:00",
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          "2011-09-23T00:00:00",
          "2011-09-26T00:00:00",
          "2011-09-27T00:00:00",
          "2011-09-28T00:00:00",
          "2011-09-29T00:00:00",
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          "2011-10-04T00:00:00",
          "2011-10-05T00:00:00",
          "2011-10-06T00:00:00",
          "2011-10-07T00:00:00",
          "2011-10-10T00:00:00",
          "2011-10-11T00:00:00",
          "2011-10-12T00:00:00",
          "2011-10-13T00:00:00",
          "2011-10-14T00:00:00",
          "2011-10-17T00:00:00",
          "2011-10-18T00:00:00",
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          "2011-10-21T00:00:00",
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          "2011-10-25T00:00:00",
          "2011-10-26T00:00:00",
          "2011-10-27T00:00:00",
          "2011-10-28T00:00:00",
          "2011-10-31T00:00:00",
          "2011-11-01T00:00:00",
          "2011-11-02T00:00:00",
          "2011-11-03T00:00:00",
          "2011-11-04T00:00:00",
          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
          "2011-11-10T00:00:00",
          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
          "2011-11-15T00:00:00",
          "2011-11-16T00:00:00",
          "2011-11-17T00:00:00",
          "2011-11-18T00:00:00",
          "2011-11-21T00:00:00",
          "2011-11-22T00:00:00",
          "2011-11-23T00:00:00",
          "2011-11-24T00:00:00",
          "2011-11-25T00:00:00",
          "2011-11-28T00:00:00",
          "2011-11-29T00:00:00",
          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
          "2011-12-02T00:00:00",
          "2011-12-05T00:00:00",
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          "2011-12-07T00:00:00",
          "2011-12-08T00:00:00",
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          "2011-12-14T00:00:00",
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          "2011-12-22T00:00:00",
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          "2011-12-30T00:00:00",
          "2012-01-02T00:00:00",
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          "2012-02-07T00:00:00",
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          "2012-02-14T00:00:00",
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          "2012-03-07T00:00:00",
          "2012-03-08T00:00:00",
          "2012-03-09T00:00:00",
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          "2014-07-23T00:00:00",
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          "2014-07-25T00:00:00",
          "2014-07-28T00:00:00",
          "2014-07-29T00:00:00",
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          "2014-08-01T00:00:00",
          "2014-08-04T00:00:00",
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          "2014-08-08T00:00:00",
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          "2014-08-12T00:00:00",
          "2014-08-13T00:00:00",
          "2014-08-14T00:00:00",
          "2014-08-15T00:00:00",
          "2014-08-18T00:00:00",
          "2014-08-19T00:00:00",
          "2014-08-20T00:00:00",
          "2014-08-21T00:00:00",
          "2014-08-22T00:00:00",
          "2014-08-25T00:00:00",
          "2014-08-26T00:00:00",
          "2014-08-27T00:00:00",
          "2014-08-28T00:00:00",
          "2014-08-29T00:00:00",
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          "2014-09-03T00:00:00",
          "2014-09-04T00:00:00",
          "2014-09-05T00:00:00",
          "2014-09-08T00:00:00",
          "2014-09-09T00:00:00",
          "2014-09-10T00:00:00",
          "2014-09-11T00:00:00",
          "2014-09-12T00:00:00",
          "2014-09-15T00:00:00",
          "2014-09-16T00:00:00",
          "2014-09-17T00:00:00",
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          "2014-09-19T00:00:00",
          "2014-09-22T00:00:00",
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          "2014-09-24T00:00:00",
          "2014-09-25T00:00:00",
          "2014-09-26T00:00:00",
          "2014-09-29T00:00:00",
          "2014-09-30T00:00:00",
          "2014-10-01T00:00:00",
          "2014-10-02T00:00:00",
          "2014-10-06T00:00:00",
          "2014-10-07T00:00:00",
          "2014-10-08T00:00:00",
          "2014-10-09T00:00:00",
          "2014-10-10T00:00:00",
          "2014-10-13T00:00:00",
          "2014-10-14T00:00:00",
          "2014-10-15T00:00:00",
          "2014-10-16T00:00:00",
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          "2014-10-21T00:00:00",
          "2014-10-22T00:00:00",
          "2014-10-23T00:00:00",
          "2014-10-24T00:00:00",
          "2014-10-27T00:00:00",
          "2014-10-28T00:00:00",
          "2014-10-29T00:00:00",
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          "2014-11-06T00:00:00",
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          "2014-11-12T00:00:00",
          "2014-11-13T00:00:00",
          "2014-11-14T00:00:00",
          "2014-11-17T00:00:00",
          "2014-11-18T00:00:00",
          "2014-11-19T00:00:00",
          "2014-11-20T00:00:00",
          "2014-11-21T00:00:00",
          "2014-11-24T00:00:00",
          "2014-11-25T00:00:00",
          "2014-11-26T00:00:00",
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          "2014-12-02T00:00:00",
          "2014-12-03T00:00:00",
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          "2014-12-05T00:00:00",
          "2014-12-08T00:00:00",
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          "2014-12-16T00:00:00",
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          "2015-01-22T00:00:00",
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          "2015-05-05T00:00:00",
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          "2015-05-08T00:00:00",
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          "2015-05-14T00:00:00",
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          "2015-05-22T00:00:00",
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          "2015-06-04T00:00:00",
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          "2015-07-14T00:00:00",
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          "2015-07-22T00:00:00",
          "2015-07-23T00:00:00",
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          "2015-07-27T00:00:00",
          "2015-07-28T00:00:00",
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          "2015-08-31T00:00:00",
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          "2015-09-04T00:00:00",
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          "2015-09-21T00:00:00",
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          "2015-09-25T00:00:00",
          "2015-09-28T00:00:00",
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          "2015-10-08T00:00:00",
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          "2015-10-14T00:00:00",
          "2015-10-15T00:00:00",
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          "2015-10-21T00:00:00",
          "2015-10-22T00:00:00",
          "2015-10-23T00:00:00",
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          "2015-10-27T00:00:00",
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          "2015-11-16T00:00:00",
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          "2015-11-25T00:00:00",
          "2015-11-26T00:00:00",
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          "2015-12-14T00:00:00",
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          "2015-12-16T00:00:00",
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          "2015-12-23T00:00:00",
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          "2011-04-29T00:00:00",
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          "2011-07-06T00:00:00",
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          "2011-08-01T00:00:00",
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          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-05T00:00:00",
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          "2011-09-08T00:00:00",
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          "2011-09-26T00:00:00",
          "2011-09-27T00:00:00",
          "2011-09-28T00:00:00",
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          "2011-10-06T00:00:00",
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          "2011-10-25T00:00:00",
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          "2011-10-27T00:00:00",
          "2011-10-28T00:00:00",
          "2011-10-31T00:00:00",
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          "2011-11-04T00:00:00",
          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
          "2011-11-10T00:00:00",
          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
          "2011-11-15T00:00:00",
          "2011-11-16T00:00:00",
          "2011-11-17T00:00:00",
          "2011-11-18T00:00:00",
          "2011-11-21T00:00:00",
          "2011-11-22T00:00:00",
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          "2011-11-24T00:00:00",
          "2011-11-25T00:00:00",
          "2011-11-28T00:00:00",
          "2011-11-29T00:00:00",
          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
          "2011-12-02T00:00:00",
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          "2011-12-07T00:00:00",
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          "2012-01-02T00:00:00",
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          "2014-10-08T00:00:00",
          "2014-10-09T00:00:00",
          "2014-10-10T00:00:00",
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          "2014-10-15T00:00:00",
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          "2014-11-18T00:00:00",
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          "2014-11-25T00:00:00",
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          "2014-12-04T00:00:00",
          "2014-12-05T00:00:00",
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          "2014-12-09T00:00:00",
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          "2014-12-12T00:00:00",
          "2014-12-15T00:00:00",
          "2014-12-16T00:00:00",
          "2014-12-17T00:00:00",
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          "2015-01-06T00:00:00",
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          "2010-07-14T00:00:00",
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          "2010-09-01T00:00:00",
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          "2010-10-27T00:00:00",
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          "2010-11-01T00:00:00",
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          "2010-11-04T00:00:00",
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          "2010-11-08T00:00:00",
          "2010-11-09T00:00:00",
          "2010-11-10T00:00:00",
          "2010-11-11T00:00:00",
          "2010-11-12T00:00:00",
          "2010-11-15T00:00:00",
          "2010-11-16T00:00:00",
          "2010-11-17T00:00:00",
          "2010-11-18T00:00:00",
          "2010-11-19T00:00:00",
          "2010-11-22T00:00:00",
          "2010-11-23T00:00:00",
          "2010-11-24T00:00:00",
          "2010-11-25T00:00:00",
          "2010-11-26T00:00:00",
          "2010-11-29T00:00:00",
          "2010-11-30T00:00:00",
          "2010-12-01T00:00:00",
          "2010-12-02T00:00:00",
          "2010-12-03T00:00:00",
          "2010-12-06T00:00:00",
          "2010-12-07T00:00:00",
          "2010-12-08T00:00:00",
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          "2010-12-10T00:00:00",
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          "2010-12-15T00:00:00",
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          "2010-12-22T00:00:00",
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          "2010-12-27T00:00:00",
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          "2010-12-30T00:00:00",
          "2011-01-03T00:00:00",
          "2011-01-04T00:00:00",
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          "2011-02-09T00:00:00",
          "2011-02-10T00:00:00",
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          "2011-02-17T00:00:00",
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          "2011-03-11T00:00:00",
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          "2011-03-16T00:00:00",
          "2011-03-17T00:00:00",
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          "2011-05-27T00:00:00",
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          "2011-06-03T00:00:00",
          "2011-06-06T00:00:00",
          "2011-06-07T00:00:00",
          "2011-06-08T00:00:00",
          "2011-06-09T00:00:00",
          "2011-06-10T00:00:00",
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          "2011-06-14T00:00:00",
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          "2011-06-24T00:00:00",
          "2011-06-27T00:00:00",
          "2011-06-28T00:00:00",
          "2011-06-29T00:00:00",
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          "2011-07-01T00:00:00",
          "2011-07-04T00:00:00",
          "2011-07-05T00:00:00",
          "2011-07-06T00:00:00",
          "2011-07-07T00:00:00",
          "2011-07-08T00:00:00",
          "2011-07-11T00:00:00",
          "2011-07-12T00:00:00",
          "2011-07-13T00:00:00",
          "2011-07-14T00:00:00",
          "2011-07-15T00:00:00",
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          "2011-07-20T00:00:00",
          "2011-07-21T00:00:00",
          "2011-07-22T00:00:00",
          "2011-07-25T00:00:00",
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          "2011-07-27T00:00:00",
          "2011-07-28T00:00:00",
          "2011-07-29T00:00:00",
          "2011-08-01T00:00:00",
          "2011-08-02T00:00:00",
          "2011-08-03T00:00:00",
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          "2011-08-10T00:00:00",
          "2011-08-11T00:00:00",
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          "2011-08-22T00:00:00",
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          "2011-08-25T00:00:00",
          "2011-08-26T00:00:00",
          "2011-08-29T00:00:00",
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          "2011-08-31T00:00:00",
          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-05T00:00:00",
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          "2011-09-08T00:00:00",
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          "2011-10-27T00:00:00",
          "2011-10-28T00:00:00",
          "2011-10-31T00:00:00",
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          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
          "2011-11-10T00:00:00",
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          "2011-11-14T00:00:00",
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          "2011-11-25T00:00:00",
          "2011-11-28T00:00:00",
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          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
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          "2011-12-07T00:00:00",
          "2011-12-08T00:00:00",
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          "2011-12-14T00:00:00",
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          "2012-01-02T00:00:00",
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          "2015-08-24T00:00:00",
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          "2015-09-14T00:00:00",
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          "2015-09-23T00:00:00",
          "2015-09-24T00:00:00",
          "2015-09-25T00:00:00",
          "2015-09-28T00:00:00",
          "2015-09-29T00:00:00",
          "2015-09-30T00:00:00",
          "2015-10-01T00:00:00",
          "2015-10-02T00:00:00",
          "2015-10-05T00:00:00",
          "2015-10-06T00:00:00",
          "2015-10-07T00:00:00",
          "2015-10-08T00:00:00",
          "2015-10-09T00:00:00",
          "2015-10-12T00:00:00",
          "2015-10-13T00:00:00",
          "2015-10-14T00:00:00",
          "2015-10-15T00:00:00",
          "2015-10-16T00:00:00",
          "2015-10-19T00:00:00",
          "2015-10-20T00:00:00",
          "2015-10-21T00:00:00",
          "2015-10-22T00:00:00",
          "2015-10-23T00:00:00",
          "2015-10-26T00:00:00",
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          "2015-10-28T00:00:00",
          "2015-10-29T00:00:00",
          "2015-10-30T00:00:00",
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          "2015-11-05T00:00:00",
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          "2015-11-13T00:00:00",
          "2015-11-16T00:00:00",
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          "2015-11-20T00:00:00",
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          "2015-12-14T00:00:00",
          "2015-12-15T00:00:00",
          "2015-12-16T00:00:00",
          "2015-12-17T00:00:00",
          "2015-12-18T00:00:00",
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          "2015-12-22T00:00:00",
          "2015-12-23T00:00:00",
          "2015-12-28T00:00:00",
          "2015-12-29T00:00:00",
          "2015-12-30T00:00:00",
          "2016-01-04T00:00:00",
          "2016-01-05T00:00:00",
          "2016-01-06T00:00:00",
          "2016-01-07T00:00:00",
          "2016-01-08T00:00:00",
          "2016-01-11T00:00:00",
          "2016-01-12T00:00:00",
          "2016-01-13T00:00:00",
          "2016-01-14T00:00:00",
          "2016-01-15T00:00:00",
          "2016-01-18T00:00:00",
          "2016-01-19T00:00:00",
          "2016-01-20T00:00:00",
          "2016-01-21T00:00:00",
          "2016-01-22T00:00:00",
          "2016-01-25T00:00:00",
          "2016-01-26T00:00:00",
          "2016-01-27T00:00:00",
          "2016-01-28T00:00:00",
          "2016-01-29T00:00:00",
          "2016-02-01T00:00:00",
          "2016-02-02T00:00:00",
          "2016-02-03T00:00:00",
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          "2016-02-05T00:00:00",
          "2016-02-08T00:00:00",
          "2016-02-09T00:00:00",
          "2016-02-10T00:00:00",
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          "2016-02-12T00:00:00",
          "2016-02-15T00:00:00",
          "2016-02-16T00:00:00",
          "2016-02-17T00:00:00",
          "2016-02-18T00:00:00",
          "2016-02-19T00:00:00",
          "2016-02-22T00:00:00",
          "2016-02-23T00:00:00",
          "2016-02-24T00:00:00",
          "2016-02-25T00:00:00",
          "2016-02-26T00:00:00",
          "2016-02-29T00:00:00",
          "2016-03-01T00:00:00",
          "2016-03-02T00:00:00",
          "2016-03-03T00:00:00",
          "2016-03-04T00:00:00",
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          "2016-03-08T00:00:00",
          "2016-03-09T00:00:00",
          "2016-03-10T00:00:00",
          "2016-03-11T00:00:00",
          "2016-03-14T00:00:00",
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          "2016-03-17T00:00:00",
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          "2016-03-22T00:00:00",
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          "2016-03-24T00:00:00",
          "2016-03-29T00:00:00",
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          "2016-05-19T00:00:00",
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          "2010-10-18T00:00:00",
          "2010-10-19T00:00:00",
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          "2010-11-17T00:00:00",
          "2010-11-18T00:00:00",
          "2010-11-19T00:00:00",
          "2010-11-22T00:00:00",
          "2010-11-23T00:00:00",
          "2010-11-24T00:00:00",
          "2010-11-25T00:00:00",
          "2010-11-26T00:00:00",
          "2010-11-29T00:00:00",
          "2010-11-30T00:00:00",
          "2010-12-01T00:00:00",
          "2010-12-02T00:00:00",
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          "2010-12-14T00:00:00",
          "2010-12-15T00:00:00",
          "2010-12-16T00:00:00",
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          "2010-12-21T00:00:00",
          "2010-12-22T00:00:00",
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          "2010-12-27T00:00:00",
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          "2011-01-03T00:00:00",
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          "2011-01-27T00:00:00",
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          "2011-02-02T00:00:00",
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          "2011-02-09T00:00:00",
          "2011-02-10T00:00:00",
          "2011-02-11T00:00:00",
          "2011-02-14T00:00:00",
          "2011-02-15T00:00:00",
          "2011-02-16T00:00:00",
          "2011-02-17T00:00:00",
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          "2011-02-24T00:00:00",
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          "2011-03-15T00:00:00",
          "2011-03-16T00:00:00",
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          "2011-03-23T00:00:00",
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          "2011-05-04T00:00:00",
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          "2011-05-06T00:00:00",
          "2011-05-09T00:00:00",
          "2011-05-10T00:00:00",
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          "2011-05-20T00:00:00",
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          "2011-05-24T00:00:00",
          "2011-05-25T00:00:00",
          "2011-05-26T00:00:00",
          "2011-05-27T00:00:00",
          "2011-05-30T00:00:00",
          "2011-05-31T00:00:00",
          "2011-06-01T00:00:00",
          "2011-06-02T00:00:00",
          "2011-06-03T00:00:00",
          "2011-06-06T00:00:00",
          "2011-06-07T00:00:00",
          "2011-06-08T00:00:00",
          "2011-06-09T00:00:00",
          "2011-06-10T00:00:00",
          "2011-06-13T00:00:00",
          "2011-06-14T00:00:00",
          "2011-06-15T00:00:00",
          "2011-06-16T00:00:00",
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          "2011-06-20T00:00:00",
          "2011-06-21T00:00:00",
          "2011-06-22T00:00:00",
          "2011-06-23T00:00:00",
          "2011-06-24T00:00:00",
          "2011-06-27T00:00:00",
          "2011-06-28T00:00:00",
          "2011-06-29T00:00:00",
          "2011-06-30T00:00:00",
          "2011-07-01T00:00:00",
          "2011-07-04T00:00:00",
          "2011-07-05T00:00:00",
          "2011-07-06T00:00:00",
          "2011-07-07T00:00:00",
          "2011-07-08T00:00:00",
          "2011-07-11T00:00:00",
          "2011-07-12T00:00:00",
          "2011-07-13T00:00:00",
          "2011-07-14T00:00:00",
          "2011-07-15T00:00:00",
          "2011-07-18T00:00:00",
          "2011-07-19T00:00:00",
          "2011-07-20T00:00:00",
          "2011-07-21T00:00:00",
          "2011-07-22T00:00:00",
          "2011-07-25T00:00:00",
          "2011-07-26T00:00:00",
          "2011-07-27T00:00:00",
          "2011-07-28T00:00:00",
          "2011-07-29T00:00:00",
          "2011-08-01T00:00:00",
          "2011-08-02T00:00:00",
          "2011-08-03T00:00:00",
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          "2011-08-05T00:00:00",
          "2011-08-08T00:00:00",
          "2011-08-09T00:00:00",
          "2011-08-10T00:00:00",
          "2011-08-11T00:00:00",
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          "2011-08-22T00:00:00",
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          "2011-08-24T00:00:00",
          "2011-08-25T00:00:00",
          "2011-08-26T00:00:00",
          "2011-08-29T00:00:00",
          "2011-08-30T00:00:00",
          "2011-08-31T00:00:00",
          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-05T00:00:00",
          "2011-09-06T00:00:00",
          "2011-09-07T00:00:00",
          "2011-09-08T00:00:00",
          "2011-09-09T00:00:00",
          "2011-09-12T00:00:00",
          "2011-09-13T00:00:00",
          "2011-09-14T00:00:00",
          "2011-09-15T00:00:00",
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          "2011-09-21T00:00:00",
          "2011-09-22T00:00:00",
          "2011-09-23T00:00:00",
          "2011-09-26T00:00:00",
          "2011-09-27T00:00:00",
          "2011-09-28T00:00:00",
          "2011-09-29T00:00:00",
          "2011-09-30T00:00:00",
          "2011-10-04T00:00:00",
          "2011-10-05T00:00:00",
          "2011-10-06T00:00:00",
          "2011-10-07T00:00:00",
          "2011-10-10T00:00:00",
          "2011-10-11T00:00:00",
          "2011-10-12T00:00:00",
          "2011-10-13T00:00:00",
          "2011-10-14T00:00:00",
          "2011-10-17T00:00:00",
          "2011-10-18T00:00:00",
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          "2011-10-20T00:00:00",
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          "2011-10-25T00:00:00",
          "2011-10-26T00:00:00",
          "2011-10-27T00:00:00",
          "2011-10-28T00:00:00",
          "2011-10-31T00:00:00",
          "2011-11-01T00:00:00",
          "2011-11-02T00:00:00",
          "2011-11-03T00:00:00",
          "2011-11-04T00:00:00",
          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
          "2011-11-10T00:00:00",
          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
          "2011-11-15T00:00:00",
          "2011-11-16T00:00:00",
          "2011-11-17T00:00:00",
          "2011-11-18T00:00:00",
          "2011-11-21T00:00:00",
          "2011-11-22T00:00:00",
          "2011-11-23T00:00:00",
          "2011-11-24T00:00:00",
          "2011-11-25T00:00:00",
          "2011-11-28T00:00:00",
          "2011-11-29T00:00:00",
          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
          "2011-12-02T00:00:00",
          "2011-12-05T00:00:00",
          "2011-12-06T00:00:00",
          "2011-12-07T00:00:00",
          "2011-12-08T00:00:00",
          "2011-12-09T00:00:00",
          "2011-12-12T00:00:00",
          "2011-12-13T00:00:00",
          "2011-12-14T00:00:00",
          "2011-12-15T00:00:00",
          "2011-12-16T00:00:00",
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          "2011-12-22T00:00:00",
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          "2011-12-27T00:00:00",
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          "2012-01-02T00:00:00",
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          "2011-03-24T00:00:00",
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          "2011-04-04T00:00:00",
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          "2011-04-14T00:00:00",
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          "2011-04-21T00:00:00",
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          "2011-04-27T00:00:00",
          "2011-04-28T00:00:00",
          "2011-04-29T00:00:00",
          "2011-05-02T00:00:00",
          "2011-05-03T00:00:00",
          "2011-05-04T00:00:00",
          "2011-05-05T00:00:00",
          "2011-05-06T00:00:00",
          "2011-05-09T00:00:00",
          "2011-05-10T00:00:00",
          "2011-05-11T00:00:00",
          "2011-05-12T00:00:00",
          "2011-05-13T00:00:00",
          "2011-05-16T00:00:00",
          "2011-05-17T00:00:00",
          "2011-05-18T00:00:00",
          "2011-05-19T00:00:00",
          "2011-05-20T00:00:00",
          "2011-05-23T00:00:00",
          "2011-05-24T00:00:00",
          "2011-05-25T00:00:00",
          "2011-05-26T00:00:00",
          "2011-05-27T00:00:00",
          "2011-05-30T00:00:00",
          "2011-05-31T00:00:00",
          "2011-06-01T00:00:00",
          "2011-06-02T00:00:00",
          "2011-06-03T00:00:00",
          "2011-06-06T00:00:00",
          "2011-06-07T00:00:00",
          "2011-06-08T00:00:00",
          "2011-06-09T00:00:00",
          "2011-06-10T00:00:00",
          "2011-06-13T00:00:00",
          "2011-06-14T00:00:00",
          "2011-06-15T00:00:00",
          "2011-06-16T00:00:00",
          "2011-06-17T00:00:00",
          "2011-06-20T00:00:00",
          "2011-06-21T00:00:00",
          "2011-06-22T00:00:00",
          "2011-06-23T00:00:00",
          "2011-06-24T00:00:00",
          "2011-06-27T00:00:00",
          "2011-06-28T00:00:00",
          "2011-06-29T00:00:00",
          "2011-06-30T00:00:00",
          "2011-07-01T00:00:00",
          "2011-07-04T00:00:00",
          "2011-07-05T00:00:00",
          "2011-07-06T00:00:00",
          "2011-07-07T00:00:00",
          "2011-07-08T00:00:00",
          "2011-07-11T00:00:00",
          "2011-07-12T00:00:00",
          "2011-07-13T00:00:00",
          "2011-07-14T00:00:00",
          "2011-07-15T00:00:00",
          "2011-07-18T00:00:00",
          "2011-07-19T00:00:00",
          "2011-07-20T00:00:00",
          "2011-07-21T00:00:00",
          "2011-07-22T00:00:00",
          "2011-07-25T00:00:00",
          "2011-07-26T00:00:00",
          "2011-07-27T00:00:00",
          "2011-07-28T00:00:00",
          "2011-07-29T00:00:00",
          "2011-08-01T00:00:00",
          "2011-08-02T00:00:00",
          "2011-08-03T00:00:00",
          "2011-08-04T00:00:00",
          "2011-08-05T00:00:00",
          "2011-08-08T00:00:00",
          "2011-08-09T00:00:00",
          "2011-08-10T00:00:00",
          "2011-08-11T00:00:00",
          "2011-08-12T00:00:00",
          "2011-08-15T00:00:00",
          "2011-08-16T00:00:00",
          "2011-08-17T00:00:00",
          "2011-08-18T00:00:00",
          "2011-08-19T00:00:00",
          "2011-08-22T00:00:00",
          "2011-08-23T00:00:00",
          "2011-08-24T00:00:00",
          "2011-08-25T00:00:00",
          "2011-08-26T00:00:00",
          "2011-08-29T00:00:00",
          "2011-08-30T00:00:00",
          "2011-08-31T00:00:00",
          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-05T00:00:00",
          "2011-09-06T00:00:00",
          "2011-09-07T00:00:00",
          "2011-09-08T00:00:00",
          "2011-09-09T00:00:00",
          "2011-09-12T00:00:00",
          "2011-09-13T00:00:00",
          "2011-09-14T00:00:00",
          "2011-09-15T00:00:00",
          "2011-09-16T00:00:00",
          "2011-09-19T00:00:00",
          "2011-09-20T00:00:00",
          "2011-09-21T00:00:00",
          "2011-09-22T00:00:00",
          "2011-09-23T00:00:00",
          "2011-09-26T00:00:00",
          "2011-09-27T00:00:00",
          "2011-09-28T00:00:00",
          "2011-09-29T00:00:00",
          "2011-09-30T00:00:00",
          "2011-10-04T00:00:00",
          "2011-10-05T00:00:00",
          "2011-10-06T00:00:00",
          "2011-10-07T00:00:00",
          "2011-10-10T00:00:00",
          "2011-10-11T00:00:00",
          "2011-10-12T00:00:00",
          "2011-10-13T00:00:00",
          "2011-10-14T00:00:00",
          "2011-10-17T00:00:00",
          "2011-10-18T00:00:00",
          "2011-10-19T00:00:00",
          "2011-10-20T00:00:00",
          "2011-10-21T00:00:00",
          "2011-10-24T00:00:00",
          "2011-10-25T00:00:00",
          "2011-10-26T00:00:00",
          "2011-10-27T00:00:00",
          "2011-10-28T00:00:00",
          "2011-10-31T00:00:00",
          "2011-11-01T00:00:00",
          "2011-11-02T00:00:00",
          "2011-11-03T00:00:00",
          "2011-11-04T00:00:00",
          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
          "2011-11-10T00:00:00",
          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
          "2011-11-15T00:00:00",
          "2011-11-16T00:00:00",
          "2011-11-17T00:00:00",
          "2011-11-18T00:00:00",
          "2011-11-21T00:00:00",
          "2011-11-22T00:00:00",
          "2011-11-23T00:00:00",
          "2011-11-24T00:00:00",
          "2011-11-25T00:00:00",
          "2011-11-28T00:00:00",
          "2011-11-29T00:00:00",
          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
          "2011-12-02T00:00:00",
          "2011-12-05T00:00:00",
          "2011-12-06T00:00:00",
          "2011-12-07T00:00:00",
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          "2013-12-12T00:00:00",
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          "2014-05-22T00:00:00",
          "2014-05-23T00:00:00",
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          "2014-05-28T00:00:00",
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          "2014-06-10T00:00:00",
          "2014-06-11T00:00:00",
          "2014-06-12T00:00:00",
          "2014-06-13T00:00:00",
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          "2014-06-24T00:00:00",
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          "2014-06-26T00:00:00",
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          "2014-07-04T00:00:00",
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          "2014-07-08T00:00:00",
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          "2014-07-10T00:00:00",
          "2014-07-11T00:00:00",
          "2014-07-14T00:00:00",
          "2014-07-15T00:00:00",
          "2014-07-16T00:00:00",
          "2014-07-17T00:00:00",
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          "2014-07-21T00:00:00",
          "2014-07-22T00:00:00",
          "2014-07-23T00:00:00",
          "2014-07-24T00:00:00",
          "2014-07-25T00:00:00",
          "2014-07-28T00:00:00",
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          "2014-08-01T00:00:00",
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          "2014-08-08T00:00:00",
          "2014-08-11T00:00:00",
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          "2014-08-14T00:00:00",
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          "2014-08-18T00:00:00",
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          "2014-08-20T00:00:00",
          "2014-08-21T00:00:00",
          "2014-08-22T00:00:00",
          "2014-08-25T00:00:00",
          "2014-08-26T00:00:00",
          "2014-08-27T00:00:00",
          "2014-08-28T00:00:00",
          "2014-08-29T00:00:00",
          "2014-09-01T00:00:00",
          "2014-09-02T00:00:00",
          "2014-09-03T00:00:00",
          "2014-09-04T00:00:00",
          "2014-09-05T00:00:00",
          "2014-09-08T00:00:00",
          "2014-09-09T00:00:00",
          "2014-09-10T00:00:00",
          "2014-09-11T00:00:00",
          "2014-09-12T00:00:00",
          "2014-09-15T00:00:00",
          "2014-09-16T00:00:00",
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          "2014-09-26T00:00:00",
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          "2014-10-06T00:00:00",
          "2014-10-07T00:00:00",
          "2014-10-08T00:00:00",
          "2014-10-09T00:00:00",
          "2014-10-10T00:00:00",
          "2014-10-13T00:00:00",
          "2014-10-14T00:00:00",
          "2014-10-15T00:00:00",
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          "2014-10-21T00:00:00",
          "2014-10-22T00:00:00",
          "2014-10-23T00:00:00",
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          "2014-11-24T00:00:00",
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          "2014-12-12T00:00:00",
          "2014-12-15T00:00:00",
          "2014-12-16T00:00:00",
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          "2014-12-19T00:00:00",
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          "2015-01-02T00:00:00",
          "2015-01-05T00:00:00",
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          "2015-01-22T00:00:00",
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          "2011-01-25T00:00:00",
          "2011-01-26T00:00:00",
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          "2011-02-03T00:00:00",
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          "2011-03-23T00:00:00",
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          "2011-05-06T00:00:00",
          "2011-05-09T00:00:00",
          "2011-05-10T00:00:00",
          "2011-05-11T00:00:00",
          "2011-05-12T00:00:00",
          "2011-05-13T00:00:00",
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          "2011-05-18T00:00:00",
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          "2011-05-20T00:00:00",
          "2011-05-23T00:00:00",
          "2011-05-24T00:00:00",
          "2011-05-25T00:00:00",
          "2011-05-26T00:00:00",
          "2011-05-27T00:00:00",
          "2011-05-30T00:00:00",
          "2011-05-31T00:00:00",
          "2011-06-01T00:00:00",
          "2011-06-02T00:00:00",
          "2011-06-03T00:00:00",
          "2011-06-06T00:00:00",
          "2011-06-07T00:00:00",
          "2011-06-08T00:00:00",
          "2011-06-09T00:00:00",
          "2011-06-10T00:00:00",
          "2011-06-13T00:00:00",
          "2011-06-14T00:00:00",
          "2011-06-15T00:00:00",
          "2011-06-16T00:00:00",
          "2011-06-17T00:00:00",
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          "2011-06-21T00:00:00",
          "2011-06-22T00:00:00",
          "2011-06-23T00:00:00",
          "2011-06-24T00:00:00",
          "2011-06-27T00:00:00",
          "2011-06-28T00:00:00",
          "2011-06-29T00:00:00",
          "2011-06-30T00:00:00",
          "2011-07-01T00:00:00",
          "2011-07-04T00:00:00",
          "2011-07-05T00:00:00",
          "2011-07-06T00:00:00",
          "2011-07-07T00:00:00",
          "2011-07-08T00:00:00",
          "2011-07-11T00:00:00",
          "2011-07-12T00:00:00",
          "2011-07-13T00:00:00",
          "2011-07-14T00:00:00",
          "2011-07-15T00:00:00",
          "2011-07-18T00:00:00",
          "2011-07-19T00:00:00",
          "2011-07-20T00:00:00",
          "2011-07-21T00:00:00",
          "2011-07-22T00:00:00",
          "2011-07-25T00:00:00",
          "2011-07-26T00:00:00",
          "2011-07-27T00:00:00",
          "2011-07-28T00:00:00",
          "2011-07-29T00:00:00",
          "2011-08-01T00:00:00",
          "2011-08-02T00:00:00",
          "2011-08-03T00:00:00",
          "2011-08-04T00:00:00",
          "2011-08-05T00:00:00",
          "2011-08-08T00:00:00",
          "2011-08-09T00:00:00",
          "2011-08-10T00:00:00",
          "2011-08-11T00:00:00",
          "2011-08-12T00:00:00",
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          "2011-08-18T00:00:00",
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          "2011-08-22T00:00:00",
          "2011-08-23T00:00:00",
          "2011-08-24T00:00:00",
          "2011-08-25T00:00:00",
          "2011-08-26T00:00:00",
          "2011-08-29T00:00:00",
          "2011-08-30T00:00:00",
          "2011-08-31T00:00:00",
          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-05T00:00:00",
          "2011-09-06T00:00:00",
          "2011-09-07T00:00:00",
          "2011-09-08T00:00:00",
          "2011-09-09T00:00:00",
          "2011-09-12T00:00:00",
          "2011-09-13T00:00:00",
          "2011-09-14T00:00:00",
          "2011-09-15T00:00:00",
          "2011-09-16T00:00:00",
          "2011-09-19T00:00:00",
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          "2011-09-21T00:00:00",
          "2011-09-22T00:00:00",
          "2011-09-23T00:00:00",
          "2011-09-26T00:00:00",
          "2011-09-27T00:00:00",
          "2011-09-28T00:00:00",
          "2011-09-29T00:00:00",
          "2011-09-30T00:00:00",
          "2011-10-04T00:00:00",
          "2011-10-05T00:00:00",
          "2011-10-06T00:00:00",
          "2011-10-07T00:00:00",
          "2011-10-10T00:00:00",
          "2011-10-11T00:00:00",
          "2011-10-12T00:00:00",
          "2011-10-13T00:00:00",
          "2011-10-14T00:00:00",
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          "2011-10-18T00:00:00",
          "2011-10-19T00:00:00",
          "2011-10-20T00:00:00",
          "2011-10-21T00:00:00",
          "2011-10-24T00:00:00",
          "2011-10-25T00:00:00",
          "2011-10-26T00:00:00",
          "2011-10-27T00:00:00",
          "2011-10-28T00:00:00",
          "2011-10-31T00:00:00",
          "2011-11-01T00:00:00",
          "2011-11-02T00:00:00",
          "2011-11-03T00:00:00",
          "2011-11-04T00:00:00",
          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
          "2011-11-10T00:00:00",
          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
          "2011-11-15T00:00:00",
          "2011-11-16T00:00:00",
          "2011-11-17T00:00:00",
          "2011-11-18T00:00:00",
          "2011-11-21T00:00:00",
          "2011-11-22T00:00:00",
          "2011-11-23T00:00:00",
          "2011-11-24T00:00:00",
          "2011-11-25T00:00:00",
          "2011-11-28T00:00:00",
          "2011-11-29T00:00:00",
          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
          "2011-12-02T00:00:00",
          "2011-12-05T00:00:00",
          "2011-12-06T00:00:00",
          "2011-12-07T00:00:00",
          "2011-12-08T00:00:00",
          "2011-12-09T00:00:00",
          "2011-12-12T00:00:00",
          "2011-12-13T00:00:00",
          "2011-12-14T00:00:00",
          "2011-12-15T00:00:00",
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          "2011-12-21T00:00:00",
          "2011-12-22T00:00:00",
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          "2011-12-27T00:00:00",
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          "2011-12-30T00:00:00",
          "2012-01-02T00:00:00",
          "2012-01-03T00:00:00",
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          "2012-01-12T00:00:00",
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          "2012-01-20T00:00:00",
          "2012-01-23T00:00:00",
          "2012-01-24T00:00:00",
          "2012-01-25T00:00:00",
          "2012-01-26T00:00:00",
          "2012-01-27T00:00:00",
          "2012-01-30T00:00:00",
          "2012-01-31T00:00:00",
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          "2012-02-02T00:00:00",
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          "2012-02-06T00:00:00",
          "2012-02-07T00:00:00",
          "2012-02-08T00:00:00",
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          "2012-02-13T00:00:00",
          "2012-02-14T00:00:00",
          "2012-02-15T00:00:00",
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          "2012-02-22T00:00:00",
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          "2012-02-28T00:00:00",
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          "2012-03-05T00:00:00",
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          "2012-03-07T00:00:00",
          "2012-03-08T00:00:00",
          "2012-03-09T00:00:00",
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          "2012-03-13T00:00:00",
          "2012-03-14T00:00:00",
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          "2012-05-11T00:00:00",
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",
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      "Regressor Importance:\n",
      "              regressor    importance\n",
      "1            CPIDE~TUSD  6.899540e-12\n",
      "10       change_percent  6.475170e-12\n",
      "5                volume  6.237060e-12\n",
      "9                change  5.750970e-12\n",
      "6                  vwap  5.310740e-12\n",
      "7             adj_close  3.649940e-12\n",
      "4                   low  3.004260e-12\n",
      "2                  open  2.820480e-12\n",
      "8     unadjusted_volume  2.210480e-12\n",
      "0           REXPDE~TUSD  1.872200e-12\n",
      "3                  high  1.223010e-12\n",
      "11       KalmanEstimate  1.184880e-12\n",
      "12  LorentzianIndicator  3.815220e-13\n"
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   "source": [
    "import pandas as pd\n",
    "import pickle\n",
    "import plotly.graph_objects as go\n",
    "from plotly.subplots import make_subplots\n",
    "from sklearn.metrics import mean_squared_error, mean_absolute_error\n",
    "from datetime import datetime\n",
    "\n",
    "with open('prophet_model.pkl', 'rb') as f:\n",
    "    model = pickle.load(f)\n",
    "\n",
    "# Get current date\n",
    "current_date = datetime.now().date()\n",
    "\n",
    "# Make predictions up to the current date\n",
    "future = model.make_future_dataframe(periods=0)  # No future predictions\n",
    "future = future.merge(df[['ds'] + [col for col in df.columns if col not in ['ds', 'y']]], on='ds', how='left')\n",
    "forecast = model.predict(future)\n",
    "\n",
    "# Evaluate the model\n",
    "y_true = df['y'].values\n",
    "y_pred = forecast['yhat'].values\n",
    "mse = mean_squared_error(y_true, y_pred)\n",
    "rmse = np.sqrt(mse)\n",
    "mae = mean_absolute_error(y_true, y_pred)\n",
    "\n",
    "print(f\"\\nModel Results:\")\n",
    "print(f\"Root Mean Squared Error: {rmse}\")\n",
    "print(f\"Mean Absolute Error: {mae}\")\n",
    "\n",
    "# Plot the results with Plotly\n",
    "fig = go.Figure()\n",
    "fig.add_trace(go.Scatter(x=df['ds'], y=df['y'], mode='lines', name='Actual'))\n",
    "fig.add_trace(go.Scatter(x=forecast['ds'], y=forecast['yhat'], mode='lines', name='Forecast'))\n",
    "fig.add_trace(go.Scatter(x=forecast['ds'], y=forecast['yhat_lower'], mode='lines', line=dict(width=0), showlegend=False))\n",
    "fig.add_trace(go.Scatter(x=forecast['ds'], y=forecast['yhat_upper'], mode='lines', fill='tonexty', line=dict(width=0), name='Confidence Interval'))\n",
    "fig.update_layout(title='Prophet Forecast for DAX (Last 10 Years)', xaxis_title='Date', yaxis_title='Value', hovermode='x unified')\n",
    "fig.update_xaxes(range=[df['ds'].min(), current_date])\n",
    "fig.show()\n",
    "\n",
    "# Plot component-wise effects including daily trend\n",
    "component_names = ['trend', 'yearly', 'monthly', 'daily'] + [col for col in df.columns if col not in ['ds', 'y']]\n",
    "fig = make_subplots(rows=len(component_names), cols=1, subplot_titles=component_names)\n",
    "\n",
    "for i, component in enumerate(component_names, 1):\n",
    "    if component == 'daily':\n",
    "        daily_trend = forecast[['ds', 'daily']].copy()  # Use .copy() to avoid SettingWithCopyWarning\n",
    "        daily_trend['day_of_week'] = daily_trend['ds'].dt.day_name()\n",
    "        fig.add_trace(go.Scatter(x=daily_trend['day_of_week'], y=daily_trend['daily'], mode='lines', name='Daily Trend'), row=i, col=1)\n",
    "    else:\n",
    "        fig.add_trace(go.Scatter(x=forecast['ds'], y=forecast[component], mode='lines', name=component), row=i, col=1)\n",
    "\n",
    "fig.update_layout(height=300*len(component_names), title_text=\"Prophet Components for DAX\", hovermode='x unified')\n",
    "fig.update_xaxes(range=[df['ds'].min(), current_date])\n",
    "fig.show()\n",
    "\n",
    "# Analyze regressor importance\n",
    "if regressors:\n",
    "    beta_values = model.params['beta'].flatten()\n",
    "    regressor_importance = pd.DataFrame({\n",
    "        'regressor': regressors,\n",
    "        'importance': np.abs(beta_values[:len(regressors)])\n",
    "    })\n",
    "    regressor_importance = regressor_importance.sort_values('importance', ascending=False)\n",
    "    print(\"\\nRegressor Importance:\")\n",
    "    print(regressor_importance)\n",
    "\n",
    "    # Plot regressor importance\n",
    "    fig = go.Figure([go.Bar(x=regressor_importance['regressor'], y=regressor_importance['importance'])])\n",
    "    fig.update_layout(title='Regressor Importance for DAX', xaxis_title='Regressor', yaxis_title='Absolute Importance')\n",
    "    fig.show()\n",
    "else:\n",
    "    print(\"\\nNo regressors were included in the model.\")"
   ]
  },
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   "execution_count": 205,
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          "2010-11-22T00:00:00",
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          "2011-05-10T00:00:00",
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          "2011-06-02T00:00:00",
          "2011-06-03T00:00:00",
          "2011-06-06T00:00:00",
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          "2011-06-08T00:00:00",
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          "2011-06-13T00:00:00",
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          "2011-06-22T00:00:00",
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          "2011-06-30T00:00:00",
          "2011-07-01T00:00:00",
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          "2011-07-06T00:00:00",
          "2011-07-07T00:00:00",
          "2011-07-08T00:00:00",
          "2011-07-11T00:00:00",
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          "2011-07-25T00:00:00",
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          "2011-07-27T00:00:00",
          "2011-07-28T00:00:00",
          "2011-07-29T00:00:00",
          "2011-08-01T00:00:00",
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          "2011-08-03T00:00:00",
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          "2011-08-10T00:00:00",
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          "2011-08-22T00:00:00",
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          "2011-08-25T00:00:00",
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          "2011-08-29T00:00:00",
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          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-05T00:00:00",
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          "2011-09-09T00:00:00",
          "2011-09-12T00:00:00",
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          "2011-10-04T00:00:00",
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          "2011-10-27T00:00:00",
          "2011-10-28T00:00:00",
          "2011-10-31T00:00:00",
          "2011-11-01T00:00:00",
          "2011-11-02T00:00:00",
          "2011-11-03T00:00:00",
          "2011-11-04T00:00:00",
          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
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          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
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          "2011-11-16T00:00:00",
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          "2011-11-18T00:00:00",
          "2011-11-21T00:00:00",
          "2011-11-22T00:00:00",
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          "2011-11-28T00:00:00",
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          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
          "2011-12-02T00:00:00",
          "2011-12-05T00:00:00",
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          "2011-12-07T00:00:00",
          "2011-12-08T00:00:00",
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          "2011-12-14T00:00:00",
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          "2011-12-21T00:00:00",
          "2011-12-22T00:00:00",
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          "2012-01-02T00:00:00",
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          "2014-05-14T00:00:00",
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          "2014-05-22T00:00:00",
          "2014-05-23T00:00:00",
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          "2014-05-27T00:00:00",
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          "2014-06-10T00:00:00",
          "2014-06-11T00:00:00",
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          "2014-06-16T00:00:00",
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          "2014-07-11T00:00:00",
          "2014-07-14T00:00:00",
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          "2014-07-23T00:00:00",
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          "2014-07-28T00:00:00",
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          "2014-08-14T00:00:00",
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          "2014-08-22T00:00:00",
          "2014-08-25T00:00:00",
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          "2014-09-04T00:00:00",
          "2014-09-05T00:00:00",
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          "2014-09-12T00:00:00",
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          "2014-09-16T00:00:00",
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          "2014-09-25T00:00:00",
          "2014-09-26T00:00:00",
          "2014-09-29T00:00:00",
          "2014-09-30T00:00:00",
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          "2014-10-02T00:00:00",
          "2014-10-06T00:00:00",
          "2014-10-07T00:00:00",
          "2014-10-08T00:00:00",
          "2014-10-09T00:00:00",
          "2014-10-10T00:00:00",
          "2014-10-13T00:00:00",
          "2014-10-14T00:00:00",
          "2014-10-15T00:00:00",
          "2014-10-16T00:00:00",
          "2014-10-17T00:00:00",
          "2014-10-20T00:00:00",
          "2014-10-21T00:00:00",
          "2014-10-22T00:00:00",
          "2014-10-23T00:00:00",
          "2014-10-24T00:00:00",
          "2014-10-27T00:00:00",
          "2014-10-28T00:00:00",
          "2014-10-29T00:00:00",
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          "2014-11-03T00:00:00",
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          "2014-11-14T00:00:00",
          "2014-11-17T00:00:00",
          "2014-11-18T00:00:00",
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          "2014-11-20T00:00:00",
          "2014-11-21T00:00:00",
          "2014-11-24T00:00:00",
          "2014-11-25T00:00:00",
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          "2014-12-01T00:00:00",
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          "2014-12-03T00:00:00",
          "2014-12-04T00:00:00",
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          "2014-12-12T00:00:00",
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          "2014-12-16T00:00:00",
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          "2014-12-19T00:00:00",
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          "2015-01-02T00:00:00",
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          "2010-06-01T00:00:00",
          "2010-06-02T00:00:00",
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          "2010-08-02T00:00:00",
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          "2010-09-01T00:00:00",
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          "2010-09-08T00:00:00",
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          "2010-10-25T00:00:00",
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          "2010-10-27T00:00:00",
          "2010-10-28T00:00:00",
          "2010-10-29T00:00:00",
          "2010-11-01T00:00:00",
          "2010-11-02T00:00:00",
          "2010-11-03T00:00:00",
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          "2010-11-05T00:00:00",
          "2010-11-08T00:00:00",
          "2010-11-09T00:00:00",
          "2010-11-10T00:00:00",
          "2010-11-11T00:00:00",
          "2010-11-12T00:00:00",
          "2010-11-15T00:00:00",
          "2010-11-16T00:00:00",
          "2010-11-17T00:00:00",
          "2010-11-18T00:00:00",
          "2010-11-19T00:00:00",
          "2010-11-22T00:00:00",
          "2010-11-23T00:00:00",
          "2010-11-24T00:00:00",
          "2010-11-25T00:00:00",
          "2010-11-26T00:00:00",
          "2010-11-29T00:00:00",
          "2010-11-30T00:00:00",
          "2010-12-01T00:00:00",
          "2010-12-02T00:00:00",
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          "2010-12-08T00:00:00",
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          "2010-12-15T00:00:00",
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          "2010-12-22T00:00:00",
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          "2010-12-27T00:00:00",
          "2010-12-28T00:00:00",
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          "2010-12-30T00:00:00",
          "2011-01-03T00:00:00",
          "2011-01-04T00:00:00",
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          "2011-05-27T00:00:00",
          "2011-05-30T00:00:00",
          "2011-05-31T00:00:00",
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          "2011-06-03T00:00:00",
          "2011-06-06T00:00:00",
          "2011-06-07T00:00:00",
          "2011-06-08T00:00:00",
          "2011-06-09T00:00:00",
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          "2011-06-14T00:00:00",
          "2011-06-15T00:00:00",
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          "2011-06-27T00:00:00",
          "2011-06-28T00:00:00",
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          "2011-07-04T00:00:00",
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          "2011-07-07T00:00:00",
          "2011-07-08T00:00:00",
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          "2011-07-25T00:00:00",
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          "2011-08-01T00:00:00",
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          "2011-08-29T00:00:00",
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          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-05T00:00:00",
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          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
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          "2011-11-17T00:00:00",
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          "2011-11-21T00:00:00",
          "2011-11-22T00:00:00",
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          "2011-11-25T00:00:00",
          "2011-11-28T00:00:00",
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          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
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          "2011-12-07T00:00:00",
          "2011-12-08T00:00:00",
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          "2011-12-13T00:00:00",
          "2011-12-14T00:00:00",
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          "2015-01-22T00:00:00",
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          "2015-05-14T00:00:00",
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          "2015-06-04T00:00:00",
          "2015-06-05T00:00:00",
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          "2015-06-12T00:00:00",
          "2015-06-15T00:00:00",
          "2015-06-16T00:00:00",
          "2015-06-17T00:00:00",
          "2015-06-18T00:00:00",
          "2015-06-19T00:00:00",
          "2015-06-22T00:00:00",
          "2015-06-23T00:00:00",
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          "2015-06-25T00:00:00",
          "2015-06-26T00:00:00",
          "2015-06-29T00:00:00",
          "2015-06-30T00:00:00",
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          "2015-07-02T00:00:00",
          "2015-07-03T00:00:00",
          "2015-07-06T00:00:00",
          "2015-07-07T00:00:00",
          "2015-07-08T00:00:00",
          "2015-07-09T00:00:00",
          "2015-07-10T00:00:00",
          "2015-07-13T00:00:00",
          "2015-07-14T00:00:00",
          "2015-07-15T00:00:00",
          "2015-07-16T00:00:00",
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          "2015-07-21T00:00:00",
          "2015-07-22T00:00:00",
          "2015-07-23T00:00:00",
          "2015-07-24T00:00:00",
          "2015-07-27T00:00:00",
          "2015-07-28T00:00:00",
          "2015-07-29T00:00:00",
          "2015-07-30T00:00:00",
          "2015-07-31T00:00:00",
          "2015-08-03T00:00:00",
          "2015-08-04T00:00:00",
          "2015-08-05T00:00:00",
          "2015-08-06T00:00:00",
          "2015-08-07T00:00:00",
          "2015-08-10T00:00:00",
          "2015-08-11T00:00:00",
          "2015-08-12T00:00:00",
          "2015-08-13T00:00:00",
          "2015-08-14T00:00:00",
          "2015-08-17T00:00:00",
          "2015-08-18T00:00:00",
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          "2015-08-20T00:00:00",
          "2015-08-21T00:00:00",
          "2015-08-24T00:00:00",
          "2015-08-25T00:00:00",
          "2015-08-26T00:00:00",
          "2015-08-27T00:00:00",
          "2015-08-28T00:00:00",
          "2015-08-31T00:00:00",
          "2015-09-01T00:00:00",
          "2015-09-02T00:00:00",
          "2015-09-03T00:00:00",
          "2015-09-04T00:00:00",
          "2015-09-07T00:00:00",
          "2015-09-08T00:00:00",
          "2015-09-09T00:00:00",
          "2015-09-10T00:00:00",
          "2015-09-11T00:00:00",
          "2015-09-14T00:00:00",
          "2015-09-15T00:00:00",
          "2015-09-16T00:00:00",
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          "2015-09-18T00:00:00",
          "2015-09-21T00:00:00",
          "2015-09-22T00:00:00",
          "2015-09-23T00:00:00",
          "2015-09-24T00:00:00",
          "2015-09-25T00:00:00",
          "2015-09-28T00:00:00",
          "2015-09-29T00:00:00",
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          "2015-10-02T00:00:00",
          "2015-10-05T00:00:00",
          "2015-10-06T00:00:00",
          "2015-10-07T00:00:00",
          "2015-10-08T00:00:00",
          "2015-10-09T00:00:00",
          "2015-10-12T00:00:00",
          "2015-10-13T00:00:00",
          "2015-10-14T00:00:00",
          "2015-10-15T00:00:00",
          "2015-10-16T00:00:00",
          "2015-10-19T00:00:00",
          "2015-10-20T00:00:00",
          "2015-10-21T00:00:00",
          "2015-10-22T00:00:00",
          "2015-10-23T00:00:00",
          "2015-10-26T00:00:00",
          "2015-10-27T00:00:00",
          "2015-10-28T00:00:00",
          "2015-10-29T00:00:00",
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          "2015-11-06T00:00:00",
          "2015-11-09T00:00:00",
          "2015-11-10T00:00:00",
          "2015-11-11T00:00:00",
          "2015-11-12T00:00:00",
          "2015-11-13T00:00:00",
          "2015-11-16T00:00:00",
          "2015-11-17T00:00:00",
          "2015-11-18T00:00:00",
          "2015-11-19T00:00:00",
          "2015-11-20T00:00:00",
          "2015-11-23T00:00:00",
          "2015-11-24T00:00:00",
          "2015-11-25T00:00:00",
          "2015-11-26T00:00:00",
          "2015-11-27T00:00:00",
          "2015-11-30T00:00:00",
          "2015-12-01T00:00:00",
          "2015-12-02T00:00:00",
          "2015-12-03T00:00:00",
          "2015-12-04T00:00:00",
          "2015-12-07T00:00:00",
          "2015-12-08T00:00:00",
          "2015-12-09T00:00:00",
          "2015-12-10T00:00:00",
          "2015-12-11T00:00:00",
          "2015-12-14T00:00:00",
          "2015-12-15T00:00:00",
          "2015-12-16T00:00:00",
          "2015-12-17T00:00:00",
          "2015-12-18T00:00:00",
          "2015-12-21T00:00:00",
          "2015-12-22T00:00:00",
          "2015-12-23T00:00:00",
          "2015-12-28T00:00:00",
          "2015-12-29T00:00:00",
          "2015-12-30T00:00:00",
          "2016-01-04T00:00:00",
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          "2016-01-07T00:00:00",
          "2016-01-08T00:00:00",
          "2016-01-11T00:00:00",
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          "2016-01-13T00:00:00",
          "2016-01-14T00:00:00",
          "2016-01-15T00:00:00",
          "2016-01-18T00:00:00",
          "2016-01-19T00:00:00",
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          "2016-01-21T00:00:00",
          "2016-01-22T00:00:00",
          "2016-01-25T00:00:00",
          "2016-01-26T00:00:00",
          "2016-01-27T00:00:00",
          "2016-01-28T00:00:00",
          "2016-01-29T00:00:00",
          "2016-02-01T00:00:00",
          "2016-02-02T00:00:00",
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          "2016-02-04T00:00:00",
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          "2016-02-09T00:00:00",
          "2016-02-10T00:00:00",
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          "2016-02-12T00:00:00",
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          "2016-02-16T00:00:00",
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          "2016-02-19T00:00:00",
          "2016-02-22T00:00:00",
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          "2016-03-01T00:00:00",
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          "2016-03-08T00:00:00",
          "2016-03-09T00:00:00",
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          "2016-03-11T00:00:00",
          "2016-03-14T00:00:00",
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          "2016-03-21T00:00:00",
          "2016-03-22T00:00:00",
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          "2016-04-11T00:00:00",
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          "2016-04-15T00:00:00",
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          "2016-04-22T00:00:00",
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          "2016-05-04T00:00:00",
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          "2016-05-27T00:00:00",
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          "2016-05-31T00:00:00",
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          "2011-02-04T00:00:00",
          "2011-02-07T00:00:00",
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          "2011-05-09T00:00:00",
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          "2011-05-18T00:00:00",
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          "2011-05-30T00:00:00",
          "2011-05-31T00:00:00",
          "2011-06-01T00:00:00",
          "2011-06-02T00:00:00",
          "2011-06-03T00:00:00",
          "2011-06-06T00:00:00",
          "2011-06-07T00:00:00",
          "2011-06-08T00:00:00",
          "2011-06-09T00:00:00",
          "2011-06-10T00:00:00",
          "2011-06-13T00:00:00",
          "2011-06-14T00:00:00",
          "2011-06-15T00:00:00",
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          "2011-06-22T00:00:00",
          "2011-06-23T00:00:00",
          "2011-06-24T00:00:00",
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          "2011-06-29T00:00:00",
          "2011-06-30T00:00:00",
          "2011-07-01T00:00:00",
          "2011-07-04T00:00:00",
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          "2011-07-06T00:00:00",
          "2011-07-07T00:00:00",
          "2011-07-08T00:00:00",
          "2011-07-11T00:00:00",
          "2011-07-12T00:00:00",
          "2011-07-13T00:00:00",
          "2011-07-14T00:00:00",
          "2011-07-15T00:00:00",
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          "2011-07-19T00:00:00",
          "2011-07-20T00:00:00",
          "2011-07-21T00:00:00",
          "2011-07-22T00:00:00",
          "2011-07-25T00:00:00",
          "2011-07-26T00:00:00",
          "2011-07-27T00:00:00",
          "2011-07-28T00:00:00",
          "2011-07-29T00:00:00",
          "2011-08-01T00:00:00",
          "2011-08-02T00:00:00",
          "2011-08-03T00:00:00",
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          "2011-08-05T00:00:00",
          "2011-08-08T00:00:00",
          "2011-08-09T00:00:00",
          "2011-08-10T00:00:00",
          "2011-08-11T00:00:00",
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          "2011-08-15T00:00:00",
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          "2011-08-17T00:00:00",
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          "2011-08-19T00:00:00",
          "2011-08-22T00:00:00",
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          "2011-08-24T00:00:00",
          "2011-08-25T00:00:00",
          "2011-08-26T00:00:00",
          "2011-08-29T00:00:00",
          "2011-08-30T00:00:00",
          "2011-08-31T00:00:00",
          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-05T00:00:00",
          "2011-09-06T00:00:00",
          "2011-09-07T00:00:00",
          "2011-09-08T00:00:00",
          "2011-09-09T00:00:00",
          "2011-09-12T00:00:00",
          "2011-09-13T00:00:00",
          "2011-09-14T00:00:00",
          "2011-09-15T00:00:00",
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          "2011-09-23T00:00:00",
          "2011-09-26T00:00:00",
          "2011-09-27T00:00:00",
          "2011-09-28T00:00:00",
          "2011-09-29T00:00:00",
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          "2011-10-04T00:00:00",
          "2011-10-05T00:00:00",
          "2011-10-06T00:00:00",
          "2011-10-07T00:00:00",
          "2011-10-10T00:00:00",
          "2011-10-11T00:00:00",
          "2011-10-12T00:00:00",
          "2011-10-13T00:00:00",
          "2011-10-14T00:00:00",
          "2011-10-17T00:00:00",
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          "2011-10-19T00:00:00",
          "2011-10-20T00:00:00",
          "2011-10-21T00:00:00",
          "2011-10-24T00:00:00",
          "2011-10-25T00:00:00",
          "2011-10-26T00:00:00",
          "2011-10-27T00:00:00",
          "2011-10-28T00:00:00",
          "2011-10-31T00:00:00",
          "2011-11-01T00:00:00",
          "2011-11-02T00:00:00",
          "2011-11-03T00:00:00",
          "2011-11-04T00:00:00",
          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
          "2011-11-10T00:00:00",
          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
          "2011-11-15T00:00:00",
          "2011-11-16T00:00:00",
          "2011-11-17T00:00:00",
          "2011-11-18T00:00:00",
          "2011-11-21T00:00:00",
          "2011-11-22T00:00:00",
          "2011-11-23T00:00:00",
          "2011-11-24T00:00:00",
          "2011-11-25T00:00:00",
          "2011-11-28T00:00:00",
          "2011-11-29T00:00:00",
          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
          "2011-12-02T00:00:00",
          "2011-12-05T00:00:00",
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          "2011-12-07T00:00:00",
          "2011-12-08T00:00:00",
          "2011-12-09T00:00:00",
          "2011-12-12T00:00:00",
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          "2011-12-14T00:00:00",
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          "2012-01-02T00:00:00",
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          "2012-02-07T00:00:00",
          "2012-02-08T00:00:00",
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          "2012-02-13T00:00:00",
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          "2012-05-10T00:00:00",
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Forecast for DAX (Last 10 Years)\"},\"xaxis\":{\"title\":{\"text\":\"Date\"},\"range\":[\"2010-05-03T00:00:00\",\"2024-08-26\"]},\"yaxis\":{\"title\":{\"text\":\"Value\"}},\"hovermode\":\"x unified\"},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the results with Plotly\n",
    "fig = go.Figure()\n",
    "fig.add_trace(go.Scatter(x=df['ds'], y=df['y'], mode='lines', name='Actual'))\n",
    "fig.add_trace(go.Scatter(x=forecast['ds'], y=forecast['yhat'], mode='lines', name='Forecast'))\n",
    "fig.add_trace(go.Scatter(x=forecast['ds'], y=forecast['yhat_lower'], mode='lines', line=dict(width=0), showlegend=False))\n",
    "fig.add_trace(go.Scatter(x=forecast['ds'], y=forecast['yhat_upper'], mode='lines', fill='tonexty', line=dict(width=0), name='Confidence Interval'))\n",
    "\n",
    "# Add the c_df[\"close\"] plot\n",
    "fig.add_trace(go.Scatter(x=c_df['index'], y=c_df['close'], mode='lines', name='Close Price'))\n",
    "\n",
    "fig.update_layout(title='Prophet Forecast for DAX (Last 10 Years)', xaxis_title='Date', yaxis_title='Value', hovermode='x unified')\n",
    "fig.update_xaxes(range=[df['ds'].min(), current_date])\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f1ccf7d-1f3a-4348-9dbf-bef44e9f5d2d",
   "metadata": {},
   "source": [
    "## Prediction of the DAX price of the next day based on the features: Real Exports DE, Volatility (Lorentzian) in addition to the prices "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "60e5c126-07b4-48d0-addd-a016247fda4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "config": {
        "plotlyServerURL": "https://plot.ly"
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     "text": [
      "\n",
      "Future Prediction for the next day:\n",
      "          ds          yhat    yhat_lower    yhat_upper\n",
      "0 2024-08-27  18175.712708  18175.712699  18175.712716\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import pickle\n",
    "from datetime import datetime, timedelta\n",
    "import plotly.graph_objects as go\n",
    "\n",
    "# Assuming your dataframe is named combined_df\n",
    "df = c_df.copy()\n",
    "\n",
    "# Convert 'index' to datetime if it's not already\n",
    "df['index'] = pd.to_datetime(df['index'])\n",
    "\n",
    "# Filter for the last 10 years of data\n",
    "ten_years_ago = datetime.now() - timedelta(days=365*10)\n",
    "df = df[df['index'] >= ten_years_ago]\n",
    "\n",
    "# Remove rows with NaN values\n",
    "df = df.dropna()\n",
    "\n",
    "# Rename columns to match Prophet's requirements\n",
    "df = df.rename(columns={'index': 'ds', 'close': 'y'})\n",
    "\n",
    "# Define potential regressors (all columns except 'ds' and 'y')\n",
    "regressors = [col for col in df.columns if col not in ['ds', 'y']]\n",
    "\n",
    "with open('prophet_model.pkl', 'rb') as f:\n",
    "    model = pickle.load(f)\n",
    "\n",
    "# Get current date\n",
    "current_date = datetime.now().date()\n",
    "\n",
    "# Predict for the next day\n",
    "future_dates = pd.date_range(start=current_date + timedelta(days=1), periods=1)\n",
    "future_df = pd.DataFrame({'ds': future_dates})\n",
    "\n",
    "# Initialize future_df with estimated regressor values (mean of the last 30 days)\n",
    "regressors = [col for col in df.columns if col not in ['ds', 'y']]\n",
    "for regressor in regressors:\n",
    "    future_df[regressor] = df[regressor].tail(30).mean()\n",
    "\n",
    "# Make the prediction for the next day\n",
    "future_forecast = model.predict(future_df)\n",
    "\n",
    "# Plot historical data and the next day's forecast with a violet dot\n",
    "fig = go.Figure()\n",
    "\n",
    "# Plot the actual historical data\n",
    "fig.add_trace(go.Scatter(x=df['ds'].tail(365), y=df['y'].tail(365), mode='lines', name='Historical'))\n",
    "\n",
    "# Plot the forecast line (without predictions)\n",
    "fig.add_trace(go.Scatter(x=df['ds'].tail(365), y=model.predict(df.tail(365)[['ds'] + regressors])['yhat'], mode='lines', name='Forecast'))\n",
    "\n",
    "# Plot the violet dot for the next day's prediction\n",
    "fig.add_trace(go.Scatter(x=future_forecast['ds'], y=future_forecast['yhat'], mode='markers', name='Next Day Prediction', marker=dict(color='violet', size=10, symbol='circle')))\n",
    "\n",
    "# Plot the confidence interval for the next day's prediction\n",
    "fig.add_trace(go.Scatter(x=future_forecast['ds'], y=future_forecast['yhat_lower'], mode='lines', line=dict(width=0), showlegend=False))\n",
    "fig.add_trace(go.Scatter(x=future_forecast['ds'], y=future_forecast['yhat_upper'], mode='lines', fill='tonexty', line=dict(width=0), name='Confidence Interval'))\n",
    "\n",
    "# Update layout\n",
    "fig.update_layout(title='Next Day Forecast for DAX with Violet Dot',\n",
    "                  xaxis_title='Date',\n",
    "                  yaxis_title='Value',\n",
    "                  hovermode='x unified')\n",
    "fig.update_xaxes(range=[current_date - timedelta(days=365), future_dates[-1]])\n",
    "\n",
    "# Show the plot\n",
    "fig.show()\n",
    "\n",
    "# Print the future prediction\n",
    "print(\"\\nFuture Prediction for the next day:\")\n",
    "print(future_forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6860d7f6-c25b-4584-afb0-e63048cb90d6",
   "metadata": {},
   "source": [
    "## Training of the same Prophet model for the next month (Swing trade)\n",
    "\n",
    "* the definition: Swing trades go for a timeframe of weeks. Intraday trades for a day at max.\n",
    "\n",
    "For Swing trades, you should look at this with seasonalities.\n",
    "\n",
    "https://app.seasonax.com/assets/gdaxi-ind?h=eJyrVkpUsjI0NtFRKipWslIyMjA0MbAwMlYC8lPBfCMYv1LJKjpWRykXqFxHKUXJykBHKbkMSNUCAABiD0U%3D \n"
   ]
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  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "def5ea70-892d-4765-8e41-7e5d2a7216f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = c_df.copy()\n",
    "df['date'] = pd.to_datetime(df['index'])\n",
    "# Set 'date' as the index\n",
    "df.set_index('date', inplace=True)\n",
    "\n",
    "# Remove the original 'index' column\n",
    "df = df.drop('index', axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "id": "0c19626e-d770-42ed-8427-e3e271743c15",
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       "      <th></th>\n",
       "      <th>REXPDE~TUSD</th>\n",
       "      <th>CPIDE~TUSD</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-08-13</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>17799.66016</td>\n",
       "      <td>17817.07031</td>\n",
       "      <td>17669.64063</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17774.61</td>\n",
       "      <td>17812.05078</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.39062</td>\n",
       "      <td>0.000696</td>\n",
       "      <td>17971.884663</td>\n",
       "      <td>5.629366</td>\n",
       "      <td>2024-08-13</td>\n",
       "      <td>17812.05078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-14</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>17882.17969</td>\n",
       "      <td>17921.99023</td>\n",
       "      <td>17827.08008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17879.21</td>\n",
       "      <td>17885.59961</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.41992</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>17963.676804</td>\n",
       "      <td>5.581875</td>\n",
       "      <td>2024-08-14</td>\n",
       "      <td>17885.59961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-15</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>17977.81055</td>\n",
       "      <td>18198.08984</td>\n",
       "      <td>17909.74023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18067.22</td>\n",
       "      <td>18183.24023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.42968</td>\n",
       "      <td>0.011400</td>\n",
       "      <td>17984.562758</td>\n",
       "      <td>5.608979</td>\n",
       "      <td>2024-08-15</td>\n",
       "      <td>18183.24023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-16</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18236.01953</td>\n",
       "      <td>18344.22070</td>\n",
       "      <td>18226.59961</td>\n",
       "      <td>63794900.0</td>\n",
       "      <td>18282.31</td>\n",
       "      <td>18322.40039</td>\n",
       "      <td>63794900.0</td>\n",
       "      <td>86.38086</td>\n",
       "      <td>0.004737</td>\n",
       "      <td>18016.699536</td>\n",
       "      <td>5.588865</td>\n",
       "      <td>2024-08-16</td>\n",
       "      <td>18322.40039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-19</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18312.50977</td>\n",
       "      <td>18454.93945</td>\n",
       "      <td>18284.85938</td>\n",
       "      <td>43769700.0</td>\n",
       "      <td>18368.50</td>\n",
       "      <td>18421.68945</td>\n",
       "      <td>43769700.0</td>\n",
       "      <td>109.17968</td>\n",
       "      <td>0.005962</td>\n",
       "      <td>18055.224170</td>\n",
       "      <td>5.594636</td>\n",
       "      <td>2024-08-19</td>\n",
       "      <td>18421.68945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-20</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18473.23047</td>\n",
       "      <td>18495.27930</td>\n",
       "      <td>18349.98047</td>\n",
       "      <td>42912000.0</td>\n",
       "      <td>18419.00</td>\n",
       "      <td>18357.51953</td>\n",
       "      <td>42912000.0</td>\n",
       "      <td>-115.71094</td>\n",
       "      <td>-0.006264</td>\n",
       "      <td>18083.979993</td>\n",
       "      <td>5.592532</td>\n",
       "      <td>2024-08-20</td>\n",
       "      <td>18357.51953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-21</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18358.78906</td>\n",
       "      <td>18476.63086</td>\n",
       "      <td>18352.18945</td>\n",
       "      <td>36068100.0</td>\n",
       "      <td>18409.14</td>\n",
       "      <td>18448.94922</td>\n",
       "      <td>36068100.0</td>\n",
       "      <td>90.16016</td>\n",
       "      <td>0.004911</td>\n",
       "      <td>18118.697662</td>\n",
       "      <td>5.505103</td>\n",
       "      <td>2024-08-21</td>\n",
       "      <td>18448.94922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-22</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18459.27930</td>\n",
       "      <td>18551.39063</td>\n",
       "      <td>18458.60938</td>\n",
       "      <td>40950900.0</td>\n",
       "      <td>18490.67</td>\n",
       "      <td>18493.39063</td>\n",
       "      <td>40950900.0</td>\n",
       "      <td>34.11133</td>\n",
       "      <td>0.001848</td>\n",
       "      <td>18154.340301</td>\n",
       "      <td>5.395760</td>\n",
       "      <td>2024-08-22</td>\n",
       "      <td>18493.39063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-23</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18538.86914</td>\n",
       "      <td>18670.44922</td>\n",
       "      <td>18519.28906</td>\n",
       "      <td>41122500.0</td>\n",
       "      <td>18590.43</td>\n",
       "      <td>18633.09961</td>\n",
       "      <td>41122500.0</td>\n",
       "      <td>94.23047</td>\n",
       "      <td>0.005083</td>\n",
       "      <td>18199.882243</td>\n",
       "      <td>5.234629</td>\n",
       "      <td>2024-08-23</td>\n",
       "      <td>18633.09961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-26</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18589.90000</td>\n",
       "      <td>18606.84000</td>\n",
       "      <td>18554.51000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18585.23</td>\n",
       "      <td>18594.33000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.43000</td>\n",
       "      <td>0.000238</td>\n",
       "      <td>18237.404055</td>\n",
       "      <td>5.158095</td>\n",
       "      <td>2024-08-26</td>\n",
       "      <td>18594.33000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            REXPDE~TUSD  CPIDE~TUSD         open         high          low  \\\n",
       "date                                                                         \n",
       "2024-08-13     441754.0      130.25  17799.66016  17817.07031  17669.64063   \n",
       "2024-08-14     441754.0      130.25  17882.17969  17921.99023  17827.08008   \n",
       "2024-08-15     441754.0      130.25  17977.81055  18198.08984  17909.74023   \n",
       "2024-08-16     441754.0      130.25  18236.01953  18344.22070  18226.59961   \n",
       "2024-08-19     441754.0      130.25  18312.50977  18454.93945  18284.85938   \n",
       "2024-08-20     441754.0      130.25  18473.23047  18495.27930  18349.98047   \n",
       "2024-08-21     441754.0      130.25  18358.78906  18476.63086  18352.18945   \n",
       "2024-08-22     441754.0      130.25  18459.27930  18551.39063  18458.60938   \n",
       "2024-08-23     441754.0      130.25  18538.86914  18670.44922  18519.28906   \n",
       "2024-08-26     441754.0      130.25  18589.90000  18606.84000  18554.51000   \n",
       "\n",
       "                volume      vwap    adj_close  unadjusted_volume     change  \\\n",
       "date                                                                          \n",
       "2024-08-13         0.0  17774.61  17812.05078                0.0   12.39062   \n",
       "2024-08-14         0.0  17879.21  17885.59961                0.0    3.41992   \n",
       "2024-08-15         0.0  18067.22  18183.24023                0.0  205.42968   \n",
       "2024-08-16  63794900.0  18282.31  18322.40039         63794900.0   86.38086   \n",
       "2024-08-19  43769700.0  18368.50  18421.68945         43769700.0  109.17968   \n",
       "2024-08-20  42912000.0  18419.00  18357.51953         42912000.0 -115.71094   \n",
       "2024-08-21  36068100.0  18409.14  18448.94922         36068100.0   90.16016   \n",
       "2024-08-22  40950900.0  18490.67  18493.39063         40950900.0   34.11133   \n",
       "2024-08-23  41122500.0  18590.43  18633.09961         41122500.0   94.23047   \n",
       "2024-08-26         0.0  18585.23  18594.33000                0.0    4.43000   \n",
       "\n",
       "            change_percent  KalmanEstimate  LorentzianIndicator         ds  \\\n",
       "date                                                                         \n",
       "2024-08-13        0.000696    17971.884663             5.629366 2024-08-13   \n",
       "2024-08-14        0.000191    17963.676804             5.581875 2024-08-14   \n",
       "2024-08-15        0.011400    17984.562758             5.608979 2024-08-15   \n",
       "2024-08-16        0.004737    18016.699536             5.588865 2024-08-16   \n",
       "2024-08-19        0.005962    18055.224170             5.594636 2024-08-19   \n",
       "2024-08-20       -0.006264    18083.979993             5.592532 2024-08-20   \n",
       "2024-08-21        0.004911    18118.697662             5.505103 2024-08-21   \n",
       "2024-08-22        0.001848    18154.340301             5.395760 2024-08-22   \n",
       "2024-08-23        0.005083    18199.882243             5.234629 2024-08-23   \n",
       "2024-08-26        0.000238    18237.404055             5.158095 2024-08-26   \n",
       "\n",
       "                      y  \n",
       "date                     \n",
       "2024-08-13  17812.05078  \n",
       "2024-08-14  17885.59961  \n",
       "2024-08-15  18183.24023  \n",
       "2024-08-16  18322.40039  \n",
       "2024-08-19  18421.68945  \n",
       "2024-08-20  18357.51953  \n",
       "2024-08-21  18448.94922  \n",
       "2024-08-22  18493.39063  \n",
       "2024-08-23  18633.09961  \n",
       "2024-08-26  18594.33000  "
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from prophet import Prophet\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from datetime import datetime, timedelta\n",
    "\n",
    "# Define the expected columns\n",
    "expected_columns = ['REXPDE~TUSD', 'CPIDE~TUSD', 'open', 'high', 'low', 'close', 'volume',\n",
    "                    'vwap', 'adj_close', 'unadjusted_volume', 'change', 'change_percent',\n",
    "                    'KalmanEstimate', 'LorentzianIndicator']\n",
    "\n",
    "# Assert that all expected columns are present in the DataFrame\n",
    "assert all(col in df.columns for col in expected_columns), f\"Missing columns. Expected: {expected_columns}, Got: {df.columns.tolist()}\"\n",
    "\n",
    "# Remove rows with NaN values\n",
    "df = df.dropna()\n",
    "\n",
    "df['ds'] = df.index\n",
    "df['y'] = df[\"close\"]\n",
    "df = df.drop(columns=['close'])\n",
    "\n",
    "df.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "id": "2ce96ebd-a6fa-4d54-bf2a-515a5faa1d3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>REXPDE~TUSD</th>\n",
       "      <th>CPIDE~TUSD</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>volume</th>\n",
       "      <th>vwap</th>\n",
       "      <th>adj_close</th>\n",
       "      <th>unadjusted_volume</th>\n",
       "      <th>change</th>\n",
       "      <th>change_percent</th>\n",
       "      <th>KalmanEstimate</th>\n",
       "      <th>LorentzianIndicator</th>\n",
       "      <th>ds</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-03-01</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>15399.910000</td>\n",
       "      <td>15478.840000</td>\n",
       "      <td>15254.110000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15345.99</td>\n",
       "      <td>15305.020000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-94.89000</td>\n",
       "      <td>-0.006162</td>\n",
       "      <td>15331.766332</td>\n",
       "      <td>5.287906</td>\n",
       "      <td>2023-03-01</td>\n",
       "      <td>15305.020000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-06-01</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>15744.009766</td>\n",
       "      <td>15863.410156</td>\n",
       "      <td>15734.860352</td>\n",
       "      <td>55198400.0</td>\n",
       "      <td>15817.31</td>\n",
       "      <td>15853.660156</td>\n",
       "      <td>55198400.0</td>\n",
       "      <td>109.65039</td>\n",
       "      <td>0.006965</td>\n",
       "      <td>15905.620678</td>\n",
       "      <td>5.203303</td>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>15853.660156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-01</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>16414.790000</td>\n",
       "      <td>16430.660000</td>\n",
       "      <td>16240.400000</td>\n",
       "      <td>63456600.0</td>\n",
       "      <td>16331.56</td>\n",
       "      <td>16240.400000</td>\n",
       "      <td>63456600.0</td>\n",
       "      <td>-174.39000</td>\n",
       "      <td>-0.010600</td>\n",
       "      <td>16168.974423</td>\n",
       "      <td>4.987172</td>\n",
       "      <td>2023-08-01</td>\n",
       "      <td>16240.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-09-01</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>15936.340000</td>\n",
       "      <td>15984.590000</td>\n",
       "      <td>15840.250000</td>\n",
       "      <td>54045200.0</td>\n",
       "      <td>15900.38</td>\n",
       "      <td>15840.340000</td>\n",
       "      <td>54045200.0</td>\n",
       "      <td>-96.00000</td>\n",
       "      <td>-0.006024</td>\n",
       "      <td>15837.369239</td>\n",
       "      <td>5.117887</td>\n",
       "      <td>2023-09-01</td>\n",
       "      <td>15840.340000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-11-01</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>14851.959960</td>\n",
       "      <td>14949.580080</td>\n",
       "      <td>14786.320310</td>\n",
       "      <td>63588700.0</td>\n",
       "      <td>14877.78</td>\n",
       "      <td>14923.269530</td>\n",
       "      <td>63588700.0</td>\n",
       "      <td>71.30957</td>\n",
       "      <td>0.004801</td>\n",
       "      <td>15006.478530</td>\n",
       "      <td>5.170565</td>\n",
       "      <td>2023-11-01</td>\n",
       "      <td>14923.269530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-01</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>16296.919920</td>\n",
       "      <td>16399.060550</td>\n",
       "      <td>16279.450200</td>\n",
       "      <td>68139400.0</td>\n",
       "      <td>16343.24</td>\n",
       "      <td>16397.519530</td>\n",
       "      <td>68139400.0</td>\n",
       "      <td>100.59961</td>\n",
       "      <td>0.006173</td>\n",
       "      <td>15817.485596</td>\n",
       "      <td>4.820172</td>\n",
       "      <td>2023-12-01</td>\n",
       "      <td>16397.519530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-01</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>16834.130860</td>\n",
       "      <td>16915.919920</td>\n",
       "      <td>16821.599610</td>\n",
       "      <td>89451400.0</td>\n",
       "      <td>16857.67</td>\n",
       "      <td>16859.039060</td>\n",
       "      <td>89451400.0</td>\n",
       "      <td>24.90820</td>\n",
       "      <td>0.001480</td>\n",
       "      <td>16760.450346</td>\n",
       "      <td>4.955344</td>\n",
       "      <td>2024-02-01</td>\n",
       "      <td>16859.039060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-01</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>17793.470700</td>\n",
       "      <td>17816.519530</td>\n",
       "      <td>17690.890620</td>\n",
       "      <td>85782600.0</td>\n",
       "      <td>17758.99</td>\n",
       "      <td>17735.070310</td>\n",
       "      <td>85782600.0</td>\n",
       "      <td>-58.40039</td>\n",
       "      <td>-0.003282</td>\n",
       "      <td>17263.902638</td>\n",
       "      <td>4.850206</td>\n",
       "      <td>2024-03-01</td>\n",
       "      <td>17735.070310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-01</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18286.859380</td>\n",
       "      <td>18286.859380</td>\n",
       "      <td>18030.490230</td>\n",
       "      <td>57146800.0</td>\n",
       "      <td>18192.07</td>\n",
       "      <td>18290.660160</td>\n",
       "      <td>55846500.0</td>\n",
       "      <td>-122.79883</td>\n",
       "      <td>-0.006715</td>\n",
       "      <td>18279.588897</td>\n",
       "      <td>5.398728</td>\n",
       "      <td>2024-07-01</td>\n",
       "      <td>18164.060550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-01</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18432.500000</td>\n",
       "      <td>18440.919920</td>\n",
       "      <td>18069.619140</td>\n",
       "      <td>71404300.0</td>\n",
       "      <td>18256.52</td>\n",
       "      <td>18083.050780</td>\n",
       "      <td>71404300.0</td>\n",
       "      <td>-349.44922</td>\n",
       "      <td>-0.019000</td>\n",
       "      <td>18377.651174</td>\n",
       "      <td>5.403261</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>18083.050780</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            REXPDE~TUSD  CPIDE~TUSD          open          high           low  \\\n",
       "date                                                                            \n",
       "2023-03-01     441754.0      130.25  15399.910000  15478.840000  15254.110000   \n",
       "2023-06-01     441754.0      130.25  15744.009766  15863.410156  15734.860352   \n",
       "2023-08-01     441754.0      130.25  16414.790000  16430.660000  16240.400000   \n",
       "2023-09-01     441754.0      130.25  15936.340000  15984.590000  15840.250000   \n",
       "2023-11-01     441754.0      130.25  14851.959960  14949.580080  14786.320310   \n",
       "2023-12-01     441754.0      130.25  16296.919920  16399.060550  16279.450200   \n",
       "2024-02-01     441754.0      130.25  16834.130860  16915.919920  16821.599610   \n",
       "2024-03-01     441754.0      130.25  17793.470700  17816.519530  17690.890620   \n",
       "2024-07-01     441754.0      130.25  18286.859380  18286.859380  18030.490230   \n",
       "2024-08-01     441754.0      130.25  18432.500000  18440.919920  18069.619140   \n",
       "\n",
       "                volume      vwap     adj_close  unadjusted_volume     change  \\\n",
       "date                                                                           \n",
       "2023-03-01         0.0  15345.99  15305.020000                0.0  -94.89000   \n",
       "2023-06-01  55198400.0  15817.31  15853.660156         55198400.0  109.65039   \n",
       "2023-08-01  63456600.0  16331.56  16240.400000         63456600.0 -174.39000   \n",
       "2023-09-01  54045200.0  15900.38  15840.340000         54045200.0  -96.00000   \n",
       "2023-11-01  63588700.0  14877.78  14923.269530         63588700.0   71.30957   \n",
       "2023-12-01  68139400.0  16343.24  16397.519530         68139400.0  100.59961   \n",
       "2024-02-01  89451400.0  16857.67  16859.039060         89451400.0   24.90820   \n",
       "2024-03-01  85782600.0  17758.99  17735.070310         85782600.0  -58.40039   \n",
       "2024-07-01  57146800.0  18192.07  18290.660160         55846500.0 -122.79883   \n",
       "2024-08-01  71404300.0  18256.52  18083.050780         71404300.0 -349.44922   \n",
       "\n",
       "            change_percent  KalmanEstimate  LorentzianIndicator         ds  \\\n",
       "date                                                                         \n",
       "2023-03-01       -0.006162    15331.766332             5.287906 2023-03-01   \n",
       "2023-06-01        0.006965    15905.620678             5.203303 2023-06-01   \n",
       "2023-08-01       -0.010600    16168.974423             4.987172 2023-08-01   \n",
       "2023-09-01       -0.006024    15837.369239             5.117887 2023-09-01   \n",
       "2023-11-01        0.004801    15006.478530             5.170565 2023-11-01   \n",
       "2023-12-01        0.006173    15817.485596             4.820172 2023-12-01   \n",
       "2024-02-01        0.001480    16760.450346             4.955344 2024-02-01   \n",
       "2024-03-01       -0.003282    17263.902638             4.850206 2024-03-01   \n",
       "2024-07-01       -0.006715    18279.588897             5.398728 2024-07-01   \n",
       "2024-08-01       -0.019000    18377.651174             5.403261 2024-08-01   \n",
       "\n",
       "                       y  \n",
       "date                      \n",
       "2023-03-01  15305.020000  \n",
       "2023-06-01  15853.660156  \n",
       "2023-08-01  16240.400000  \n",
       "2023-09-01  15840.340000  \n",
       "2023-11-01  14923.269530  \n",
       "2023-12-01  16397.519530  \n",
       "2024-02-01  16859.039060  \n",
       "2024-03-01  17735.070310  \n",
       "2024-07-01  18164.060550  \n",
       "2024-08-01  18083.050780  "
      ]
     },
     "execution_count": 214,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filter the data to include only the 1st day of each month\n",
    "df_monthly = df[df.index.is_month_start]\n",
    "df_monthly.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "id": "fdf0c527-26fe-4e39-8f24-3e77ffcfd6a1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "11:34:59 - cmdstanpy - INFO - Chain [1] start processing\n",
      "11:34:59 - cmdstanpy - INFO - Chain [1] done processing\n",
      "11:34:59 - cmdstanpy - ERROR - Chain [1] error: error during processing Operation not permitted\n",
      "11:34:59 - cmdstanpy - INFO - Chain [1] start processing\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using regressors: ['REXPDE~TUSD', 'CPIDE~TUSD', 'open', 'high', 'low', 'volume', 'vwap', 'adj_close', 'unadjusted_volume', 'change', 'change_percent', 'KalmanEstimate', 'LorentzianIndicator']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "11:35:05 - cmdstanpy - INFO - Chain [1] done processing\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model training completed and saved.\n"
     ]
    }
   ],
   "source": [
    "from prophet import Prophet\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from datetime import datetime, timedelta\n",
    "\n",
    "# Remove rows with NaN values\n",
    "df = df_monthly.dropna()\n",
    "\n",
    "# Define potential regressors (all columns except 'ds' and 'y')\n",
    "regressors = [col for col in df.columns if col not in ['ds', 'y']]\n",
    "\n",
    "def train_prophet_model(df, regressors, include_monthly_seasonality=True):\n",
    "    model = Prophet(\n",
    "        yearly_seasonality=True,\n",
    "        daily_seasonality=False,  # Daily seasonality is unnecessary if we only have one day per month\n",
    "        weekly_seasonality=False, # Weekly seasonality is unnecessary if we only have one day per month\n",
    "        changepoint_prior_scale=0.05,\n",
    "        seasonality_prior_scale=10.0,\n",
    "        seasonality_mode='additive'\n",
    "    )\n",
    "    \n",
    "    if include_monthly_seasonality:\n",
    "        model.add_seasonality(name='monthly', period=30.5, fourier_order=5)\n",
    "    \n",
    "    for regressor in regressors:\n",
    "        if regressor in df.columns:\n",
    "            model.add_regressor(regressor)\n",
    "    \n",
    "    model.fit(df)\n",
    "    return model\n",
    "\n",
    "# Filter regressors to only include those present in the dataframe\n",
    "regressors = [reg for reg in regressors if reg in df.columns]\n",
    "print(f\"Using regressors: {regressors}\")\n",
    "\n",
    "# Train the model\n",
    "model = train_prophet_model(df, regressors)\n",
    "\n",
    "# Save model and data for future use\n",
    "df.to_pickle('dax_data_month.pkl')\n",
    "import pickle\n",
    "with open('prophet_model_month.pkl', 'wb') as f:\n",
    "    pickle.dump(model, f)\n",
    "\n",
    "print(\"Model training completed and saved.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "id": "8a930cb1-7b3f-4dc3-8dd2-30090c107916",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            REXPDE~TUSD  CPIDE~TUSD         open         high          low  \\\n",
      "date                                                                         \n",
      "2010-06-01     441754.0      130.25  5943.939941  6012.040039  5833.609863   \n",
      "\n",
      "                 volume        vwap    adj_close  unadjusted_volume    change  \\\n",
      "date                                                                            \n",
      "2010-06-01  127463800.0  5942.30664  5981.270019        127463800.0  37.33008   \n",
      "\n",
      "            change_percent  KalmanEstimate  LorentzianIndicator         ds  \\\n",
      "date                                                                         \n",
      "2010-06-01         0.00628     5964.973345             5.056273 2010-06-01   \n",
      "\n",
      "                      y  \n",
      "date                     \n",
      "2010-06-01  5981.270019  \n"
     ]
    }
   ],
   "source": [
    "df = pd.read_pickle('dax_data_month.pkl')\n",
    "print(df.head(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "id": "41d36764-33b8-44b5-9232-bee0d281237a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import pickle\n",
    "from sklearn.metrics import mean_squared_error, mean_absolute_error\n",
    "import numpy as np\n",
    "\n",
    "# Load the trained model and data\n",
    "df = pd.read_pickle('dax_data_month.pkl')\n",
    "with open('prophet_model_month.pkl', 'rb') as f:\n",
    "    model = pickle.load(f)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "id": "d115e213-d02d-42e7-8b0b-65300ce201c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Model Evaluation Results:\n",
      "Root Mean Squared Error (RMSE): 473.8711066416287\n",
      "Mean Absolute Error (MAE): 473.8711066172313\n"
     ]
    },
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    }
   ],
   "source": [
    "import pandas as pd\n",
    "import pickle\n",
    "from sklearn.metrics import mean_squared_error, mean_absolute_error\n",
    "import numpy as np\n",
    "import plotly.graph_objects as go\n",
    "\n",
    "# Load the trained model and data\n",
    "df = pd.read_pickle('dax_data_month.pkl')\n",
    "with open('prophet_model_month.pkl', 'rb') as f:\n",
    "    model = pickle.load(f)\n",
    "\n",
    "# Ensure all regressors are present in the future dataframe\n",
    "regressors = ['open', 'high', 'low', 'volume', 'vwap', 'adj_close', 'unadjusted_volume', 'change', 'change_percent', 'KalmanEstimate', 'LorentzianIndicator', 'REXPDE~TUSD', 'CPIDE~TUSD']\n",
    "future = df[['ds'] + regressors].copy()\n",
    "\n",
    "# Make predictions on the existing data (no future dates, just evaluation)\n",
    "forecast = model.predict(future)\n",
    "\n",
    "# Extract the true values and the predicted values\n",
    "y_true = df['y'].values\n",
    "y_pred = forecast['yhat'].values\n",
    "\n",
    "# Calculate evaluation metrics\n",
    "mse = mean_squared_error(y_true, y_pred)\n",
    "rmse = np.sqrt(mse)\n",
    "mae = mean_absolute_error(y_true, y_pred)\n",
    "\n",
    "# Print the results\n",
    "print(f\"\\nModel Evaluation Results:\")\n",
    "print(f\"Root Mean Squared Error (RMSE): {rmse}\")\n",
    "print(f\"Mean Absolute Error (MAE): {mae}\")\n",
    "\n",
    "# Plot the evaluation results with Plotly\n",
    "fig = go.Figure()\n",
    "\n",
    "# Plot the actual historical data\n",
    "fig.add_trace(go.Scatter(x=df['ds'], y=df['y'], mode='lines', name='Actual'))\n",
    "\n",
    "# Plot the forecasted line\n",
    "fig.add_trace(go.Scatter(x=forecast['ds'], y=forecast['yhat'], mode='lines', name='Forecast'))\n",
    "\n",
    "# Plot the confidence interval\n",
    "fig.add_trace(go.Scatter(x=forecast['ds'], y=forecast['yhat_lower'], mode='lines', line=dict(width=0), showlegend=False))\n",
    "fig.add_trace(go.Scatter(x=forecast['ds'], y=forecast['yhat_upper'], mode='lines', fill='tonexty', line=dict(width=0), name='Confidence Interval'))\n",
    "\n",
    "# Update the layout\n",
    "fig.update_layout(title='Prophet Forecast vs Actual',\n",
    "                  xaxis_title='Date',\n",
    "                  yaxis_title='Value',\n",
    "                  hovermode='x unified')\n",
    "\n",
    "# Show the plot\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "id": "c1cfde03-c238-456f-b12a-404e6e8470ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import pickle\n",
    "from datetime import datetime\n",
    "import plotly.graph_objects as go\n",
    "\n",
    "# Load the trained model and data\n",
    "df = pd.read_pickle('dax_data_month.pkl')\n",
    "with open('prophet_model_month.pkl', 'rb') as f:\n",
    "    model = pickle.load(f)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "id": "55dcaecb-9f35-468d-81e7-6f929ab6a2d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Prediction for the next first day of the month:\n",
      "          ds          yhat   yhat_lower    yhat_upper\n",
      "0 2024-09-01  18556.932494  18556.93246  18556.932527\n"
     ]
    }
   ],
   "source": [
    "# Make a prediction for the next first day of the month\n",
    "future_dates = pd.date_range(start=datetime.now().date(), periods=1, freq='MS')  # MS = Month Start\n",
    "future_df = pd.DataFrame({'ds': future_dates})\n",
    "\n",
    "# Include all regressors, set them to a default value or use last known values\n",
    "for regressor in ['open', 'high', 'low', 'volume', 'vwap', 'adj_close', 'unadjusted_volume', 'change', 'change_percent', 'KalmanEstimate', 'LorentzianIndicator', 'REXPDE~TUSD', 'CPIDE~TUSD']:\n",
    "    if regressor in df.columns:\n",
    "        future_df[regressor] = df[regressor].iloc[-1]  # Use last known value as a simple approach\n",
    "\n",
    "# Make the prediction\n",
    "forecast = model.predict(future_df)\n",
    "\n",
    "# Display the prediction\n",
    "print(\"\\nPrediction for the next first day of the month:\")\n",
    "print(forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']])\n"
   ]
  },
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   "execution_count": 221,
   "id": "b4e247da-1d82-4349-8218-32a75f3f2fab",
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   "source": [
    "# Plot the historical data and forecast\n",
    "fig = go.Figure()\n",
    "\n",
    "# Plot the actual historical data\n",
    "fig.add_trace(go.Scatter(x=df['ds'], y=df['y'], mode='lines', name='Historical'))\n",
    "\n",
    "# Plot the forecasted line\n",
    "fig.add_trace(go.Scatter(x=forecast['ds'], y=forecast['yhat'], mode='lines+markers', name='Forecast'))\n",
    "\n",
    "# Add a violet dot for the next month's prediction\n",
    "fig.add_trace(go.Scatter(x=forecast['ds'], y=forecast['yhat'], mode='markers', name='Next Month Prediction', marker=dict(color='violet', size=12, symbol='circle')))\n",
    "\n",
    "# Plot the confidence interval\n",
    "fig.add_trace(go.Scatter(x=forecast['ds'], y=forecast['yhat_lower'], mode='lines', line=dict(width=0), showlegend=False))\n",
    "fig.add_trace(go.Scatter(x=forecast['ds'], y=forecast['yhat_upper'], mode='lines', fill='tonexty', line=dict(width=0), name='Confidence Interval'))\n",
    "\n",
    "# Update the layout\n",
    "fig.update_layout(title='Prediction for Next First Day of the Month with Violet Dot',\n",
    "                  xaxis_title='Date',\n",
    "                  yaxis_title='Value',\n",
    "                  hovermode='x unified')\n",
    "\n",
    "# Show the plot\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7fda70a-555e-4503-8aff-2142f32ca046",
   "metadata": {},
   "source": [
    "# Time-series AutoML with H2O (alternative to Prophet)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee5e0c74-2fec-4662-b5be-cc757a14e587",
   "metadata": {},
   "source": [
    "## Day range "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "id": "d0459af1-48e9-45f5-af27-a0e7f78ae34f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>REXPDE~TUSD</th>\n",
       "      <th>CPIDE~TUSD</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
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       "      <th>date</th>\n",
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       "      <th>2024-08-13</th>\n",
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       "    <tr>\n",
       "      <th>2024-08-14</th>\n",
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       "      <td>130.25</td>\n",
       "      <td>17882.17969</td>\n",
       "      <td>17921.99023</td>\n",
       "      <td>17827.08008</td>\n",
       "      <td>17885.59961</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17879.21</td>\n",
       "      <td>17885.59961</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.41992</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>17963.676804</td>\n",
       "      <td>5.581875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-15</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>17977.81055</td>\n",
       "      <td>18198.08984</td>\n",
       "      <td>17909.74023</td>\n",
       "      <td>18183.24023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18067.22</td>\n",
       "      <td>18183.24023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.42968</td>\n",
       "      <td>0.011400</td>\n",
       "      <td>17984.562758</td>\n",
       "      <td>5.608979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-16</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18236.01953</td>\n",
       "      <td>18344.22070</td>\n",
       "      <td>18226.59961</td>\n",
       "      <td>18322.40039</td>\n",
       "      <td>63794900.0</td>\n",
       "      <td>18282.31</td>\n",
       "      <td>18322.40039</td>\n",
       "      <td>63794900.0</td>\n",
       "      <td>86.38086</td>\n",
       "      <td>0.004737</td>\n",
       "      <td>18016.699536</td>\n",
       "      <td>5.588865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-19</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18312.50977</td>\n",
       "      <td>18454.93945</td>\n",
       "      <td>18284.85938</td>\n",
       "      <td>18421.68945</td>\n",
       "      <td>43769700.0</td>\n",
       "      <td>18368.50</td>\n",
       "      <td>18421.68945</td>\n",
       "      <td>43769700.0</td>\n",
       "      <td>109.17968</td>\n",
       "      <td>0.005962</td>\n",
       "      <td>18055.224170</td>\n",
       "      <td>5.594636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-20</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18473.23047</td>\n",
       "      <td>18495.27930</td>\n",
       "      <td>18349.98047</td>\n",
       "      <td>18357.51953</td>\n",
       "      <td>42912000.0</td>\n",
       "      <td>18419.00</td>\n",
       "      <td>18357.51953</td>\n",
       "      <td>42912000.0</td>\n",
       "      <td>-115.71094</td>\n",
       "      <td>-0.006264</td>\n",
       "      <td>18083.979993</td>\n",
       "      <td>5.592532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-21</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18358.78906</td>\n",
       "      <td>18476.63086</td>\n",
       "      <td>18352.18945</td>\n",
       "      <td>18448.94922</td>\n",
       "      <td>36068100.0</td>\n",
       "      <td>18409.14</td>\n",
       "      <td>18448.94922</td>\n",
       "      <td>36068100.0</td>\n",
       "      <td>90.16016</td>\n",
       "      <td>0.004911</td>\n",
       "      <td>18118.697662</td>\n",
       "      <td>5.505103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-22</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18459.27930</td>\n",
       "      <td>18551.39063</td>\n",
       "      <td>18458.60938</td>\n",
       "      <td>18493.39063</td>\n",
       "      <td>40950900.0</td>\n",
       "      <td>18490.67</td>\n",
       "      <td>18493.39063</td>\n",
       "      <td>40950900.0</td>\n",
       "      <td>34.11133</td>\n",
       "      <td>0.001848</td>\n",
       "      <td>18154.340301</td>\n",
       "      <td>5.395760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-23</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18538.86914</td>\n",
       "      <td>18670.44922</td>\n",
       "      <td>18519.28906</td>\n",
       "      <td>18633.09961</td>\n",
       "      <td>41122500.0</td>\n",
       "      <td>18590.43</td>\n",
       "      <td>18633.09961</td>\n",
       "      <td>41122500.0</td>\n",
       "      <td>94.23047</td>\n",
       "      <td>0.005083</td>\n",
       "      <td>18199.882243</td>\n",
       "      <td>5.234629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-26</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18589.90000</td>\n",
       "      <td>18606.84000</td>\n",
       "      <td>18554.51000</td>\n",
       "      <td>18594.33000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18585.23</td>\n",
       "      <td>18594.33000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.43000</td>\n",
       "      <td>0.000238</td>\n",
       "      <td>18237.404055</td>\n",
       "      <td>5.158095</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            REXPDE~TUSD  CPIDE~TUSD         open         high          low  \\\n",
       "date                                                                         \n",
       "2024-08-13     441754.0      130.25  17799.66016  17817.07031  17669.64063   \n",
       "2024-08-14     441754.0      130.25  17882.17969  17921.99023  17827.08008   \n",
       "2024-08-15     441754.0      130.25  17977.81055  18198.08984  17909.74023   \n",
       "2024-08-16     441754.0      130.25  18236.01953  18344.22070  18226.59961   \n",
       "2024-08-19     441754.0      130.25  18312.50977  18454.93945  18284.85938   \n",
       "2024-08-20     441754.0      130.25  18473.23047  18495.27930  18349.98047   \n",
       "2024-08-21     441754.0      130.25  18358.78906  18476.63086  18352.18945   \n",
       "2024-08-22     441754.0      130.25  18459.27930  18551.39063  18458.60938   \n",
       "2024-08-23     441754.0      130.25  18538.86914  18670.44922  18519.28906   \n",
       "2024-08-26     441754.0      130.25  18589.90000  18606.84000  18554.51000   \n",
       "\n",
       "                  close      volume      vwap    adj_close  unadjusted_volume  \\\n",
       "date                                                                            \n",
       "2024-08-13  17812.05078         0.0  17774.61  17812.05078                0.0   \n",
       "2024-08-14  17885.59961         0.0  17879.21  17885.59961                0.0   \n",
       "2024-08-15  18183.24023         0.0  18067.22  18183.24023                0.0   \n",
       "2024-08-16  18322.40039  63794900.0  18282.31  18322.40039         63794900.0   \n",
       "2024-08-19  18421.68945  43769700.0  18368.50  18421.68945         43769700.0   \n",
       "2024-08-20  18357.51953  42912000.0  18419.00  18357.51953         42912000.0   \n",
       "2024-08-21  18448.94922  36068100.0  18409.14  18448.94922         36068100.0   \n",
       "2024-08-22  18493.39063  40950900.0  18490.67  18493.39063         40950900.0   \n",
       "2024-08-23  18633.09961  41122500.0  18590.43  18633.09961         41122500.0   \n",
       "2024-08-26  18594.33000         0.0  18585.23  18594.33000                0.0   \n",
       "\n",
       "               change  change_percent  KalmanEstimate  LorentzianIndicator  \n",
       "date                                                                        \n",
       "2024-08-13   12.39062        0.000696    17971.884663             5.629366  \n",
       "2024-08-14    3.41992        0.000191    17963.676804             5.581875  \n",
       "2024-08-15  205.42968        0.011400    17984.562758             5.608979  \n",
       "2024-08-16   86.38086        0.004737    18016.699536             5.588865  \n",
       "2024-08-19  109.17968        0.005962    18055.224170             5.594636  \n",
       "2024-08-20 -115.71094       -0.006264    18083.979993             5.592532  \n",
       "2024-08-21   90.16016        0.004911    18118.697662             5.505103  \n",
       "2024-08-22   34.11133        0.001848    18154.340301             5.395760  \n",
       "2024-08-23   94.23047        0.005083    18199.882243             5.234629  \n",
       "2024-08-26    4.43000        0.000238    18237.404055             5.158095  "
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Assuming your dataframe is named combined_df\n",
    "df = c_df.copy()\n",
    "df['date'] = pd.to_datetime(df['index'])\n",
    "# Set 'date' as the index\n",
    "df.set_index('date', inplace=True)\n",
    "\n",
    "# Remove the original 'index' column\n",
    "df = df.drop('index', axis=1)\n",
    "\n",
    "df.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "401eaf48-91bb-42c3-a9a0-c85e89f3a690",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Checking whether there is an H2O instance running at http://localhost:54321. connected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "\n",
       "#h2o-table-21.h2o-container {\n",
       "  overflow-x: auto;\n",
       "}\n",
       "#h2o-table-21 .h2o-table {\n",
       "  /* width: 100%; */\n",
       "  margin-top: 1em;\n",
       "  margin-bottom: 1em;\n",
       "}\n",
       "#h2o-table-21 .h2o-table caption {\n",
       "  white-space: nowrap;\n",
       "  caption-side: top;\n",
       "  text-align: left;\n",
       "  /* margin-left: 1em; */\n",
       "  margin: 0;\n",
       "  font-size: larger;\n",
       "}\n",
       "#h2o-table-21 .h2o-table thead {\n",
       "  white-space: nowrap; \n",
       "  position: sticky;\n",
       "  top: 0;\n",
       "  box-shadow: 0 -1px inset;\n",
       "}\n",
       "#h2o-table-21 .h2o-table tbody {\n",
       "  overflow: auto;\n",
       "}\n",
       "#h2o-table-21 .h2o-table th,\n",
       "#h2o-table-21 .h2o-table td {\n",
       "  text-align: right;\n",
       "  /* border: 1px solid; */\n",
       "}\n",
       "#h2o-table-21 .h2o-table tr:nth-child(even) {\n",
       "  /* background: #F5F5F5 */\n",
       "}\n",
       "\n",
       "</style>      \n",
       "<div id=\"h2o-table-21\" class=\"h2o-container\">\n",
       "  <table class=\"h2o-table\">\n",
       "    <caption></caption>\n",
       "    <thead></thead>\n",
       "    <tbody><tr><td>H2O_cluster_uptime:</td>\n",
       "<td>1 hour 30 mins</td></tr>\n",
       "<tr><td>H2O_cluster_timezone:</td>\n",
       "<td>Etc/UTC</td></tr>\n",
       "<tr><td>H2O_data_parsing_timezone:</td>\n",
       "<td>UTC</td></tr>\n",
       "<tr><td>H2O_cluster_version:</td>\n",
       "<td>3.46.0.4</td></tr>\n",
       "<tr><td>H2O_cluster_version_age:</td>\n",
       "<td>1 month and 16 days</td></tr>\n",
       "<tr><td>H2O_cluster_name:</td>\n",
       "<td>H2O_from_python_marius_f9963f</td></tr>\n",
       "<tr><td>H2O_cluster_total_nodes:</td>\n",
       "<td>1</td></tr>\n",
       "<tr><td>H2O_cluster_free_memory:</td>\n",
       "<td>2.351 Gb</td></tr>\n",
       "<tr><td>H2O_cluster_total_cores:</td>\n",
       "<td>6</td></tr>\n",
       "<tr><td>H2O_cluster_allowed_cores:</td>\n",
       "<td>6</td></tr>\n",
       "<tr><td>H2O_cluster_status:</td>\n",
       "<td>locked, healthy</td></tr>\n",
       "<tr><td>H2O_connection_url:</td>\n",
       "<td>http://localhost:54321</td></tr>\n",
       "<tr><td>H2O_connection_proxy:</td>\n",
       "<td>{\"http\": null, \"https\": null}</td></tr>\n",
       "<tr><td>H2O_internal_security:</td>\n",
       "<td>False</td></tr>\n",
       "<tr><td>Python_version:</td>\n",
       "<td>3.11.9 final</td></tr></tbody>\n",
       "  </table>\n",
       "</div>\n"
      ],
      "text/plain": [
       "--------------------------  -----------------------------\n",
       "H2O_cluster_uptime:         1 hour 30 mins\n",
       "H2O_cluster_timezone:       Etc/UTC\n",
       "H2O_data_parsing_timezone:  UTC\n",
       "H2O_cluster_version:        3.46.0.4\n",
       "H2O_cluster_version_age:    1 month and 16 days\n",
       "H2O_cluster_name:           H2O_from_python_marius_f9963f\n",
       "H2O_cluster_total_nodes:    1\n",
       "H2O_cluster_free_memory:    2.351 Gb\n",
       "H2O_cluster_total_cores:    6\n",
       "H2O_cluster_allowed_cores:  6\n",
       "H2O_cluster_status:         locked, healthy\n",
       "H2O_connection_url:         http://localhost:54321\n",
       "H2O_connection_proxy:       {\"http\": null, \"https\": null}\n",
       "H2O_internal_security:      False\n",
       "Python_version:             3.11.9 final\n",
       "--------------------------  -----------------------------"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Features used: ['REXPDE~TUSD', 'CPIDE~TUSD', 'volume', 'vwap', 'LorentzianIndicator', 'REXPDE~TUSD_lag_1', 'REXPDE~TUSD_lag_7', 'REXPDE~TUSD_return_1', 'REXPDE~TUSD_return_7', 'volume_lag_1', 'volume_lag_7', 'volume_return_1', 'volume_return_7', 'CPIDE_lag_1', 'CPIDE_lag_7', 'CPIDE_return_1', 'CPIDE_return_7']\n",
      "\n",
      "DataFrame shape: (3585, 30)\n",
      "\n",
      "DataFrame column types:\n",
      "REXPDE~TUSD             float64\n",
      "CPIDE~TUSD              float64\n",
      "open                    float64\n",
      "high                    float64\n",
      "low                     float64\n",
      "close                   float64\n",
      "volume                  float64\n",
      "vwap                    float64\n",
      "adj_close               float64\n",
      "unadjusted_volume       float64\n",
      "change                  float64\n",
      "change_percent          float64\n",
      "KalmanEstimate          float64\n",
      "LorentzianIndicator     float64\n",
      "close_lag_1             float64\n",
      "close_lag_7             float64\n",
      "close_return_1          float64\n",
      "close_return_7          float64\n",
      "REXPDE~TUSD_lag_1       float64\n",
      "REXPDE~TUSD_lag_7       float64\n",
      "REXPDE~TUSD_return_1    float64\n",
      "REXPDE~TUSD_return_7    float64\n",
      "volume_lag_1            float64\n",
      "volume_lag_7            float64\n",
      "volume_return_1         float64\n",
      "volume_return_7         float64\n",
      "CPIDE_lag_1             float64\n",
      "CPIDE_lag_7             float64\n",
      "CPIDE_return_1          float64\n",
      "CPIDE_return_7          float64\n",
      "dtype: object\n",
      "Parse progress: |████████████████████████████████████████████████████████████████| (done) 100%\n",
      "\n",
      "H2OFrame column types:\n",
      "{'date': 'time', 'REXPDE~TUSD': 'int', 'CPIDE~TUSD': 'real', 'open': 'real', 'high': 'real', 'low': 'real', 'close': 'real', 'volume': 'int', 'vwap': 'real', 'adj_close': 'real', 'unadjusted_volume': 'int', 'change': 'real', 'change_percent': 'real', 'KalmanEstimate': 'real', 'LorentzianIndicator': 'real', 'close_lag_1': 'real', 'close_lag_7': 'real', 'close_return_1': 'real', 'close_return_7': 'real', 'REXPDE~TUSD_lag_1': 'int', 'REXPDE~TUSD_lag_7': 'int', 'REXPDE~TUSD_return_1': 'int', 'REXPDE~TUSD_return_7': 'int', 'volume_lag_1': 'int', 'volume_lag_7': 'int', 'volume_return_1': 'real', 'volume_return_7': 'real', 'CPIDE_lag_1': 'real', 'CPIDE_lag_7': 'real', 'CPIDE_return_1': 'int', 'CPIDE_return_7': 'int'}\n",
      "AutoML progress: |\n",
      "11:48:20.897: Project: AutoML_10_20240826_114820\n",
      "11:48:20.897: User specified a validation frame with cross-validation still enabled. Please note that the models will still be validated using cross-validation only, the validation frame will be used to provide purely informative validation metrics on the trained models.\n",
      "11:48:20.897: Stopping tolerance set by the user: 0.001\n",
      "11:48:20.897: Stopping tolerance set by the user is < 70% of the recommended default of 0.01861129564531997, so models may take a long time to converge or may not converge at all.\n",
      "11:48:20.897: Build control seed: 1234\n",
      "11:48:20.897: training frame: Frame key: AutoML_10_20240826_114820_training_py_81_sid_8d38    cols: 31    rows: 2887  chunks: 1    size: 406456  checksum: 4646743368819855423\n",
      "11:48:20.897: validation frame: Frame key: py_82_sid_8d38    cols: 31    rows: 698  chunks: 1    size: 99996  checksum: 2301761918931953102\n",
      "11:48:20.897: leaderboard frame: NULL\n",
      "11:48:20.897: blending frame: NULL\n",
      "11:48:20.897: response column: close\n",
      "11:48:20.897: fold column: null\n",
      "11:48:20.897: weights column: null\n",
      "11:48:20.897: Loading execution steps: [{XGBoost : [def_2 (1g, 10w), def_1 (2g, 10w), def_3 (3g, 10w), grid_1 (4g, 90w), lr_search (7g, 30w)]}, {GLM : [def_1 (1g, 10w)]}, {DRF : [def_1 (2g, 10w), XRT (3g, 10w)]}, {GBM : [def_5 (1g, 10w), def_2 (2g, 10w), def_3 (2g, 10w), def_4 (2g, 10w), def_1 (3g, 10w), grid_1 (4g, 60w), lr_annealing (7g, 10w)]}, {DeepLearning : [def_1 (3g, 10w), grid_1 (4g, 30w), grid_2 (5g, 30w), grid_3 (5g, 30w)]}, {completion : [resume_best_grids (6g, 60w)]}, {StackedEnsemble : [monotonic (9g, 10w), best_of_family_xglm (10g, 10w), all_xglm (10g, 10w)]}]\n",
      "11:48:20.898: AutoML job created: 2024.08.26 11:48:20.897\n",
      "11:48:20.899: AutoML build started: 2024.08.26 11:48:20.899\n",
      "11:48:20.899: AutoML: starting XGBoost_1_AutoML_10_20240826_114820 model training\n",
      "11:48:20.900: _train param, Dropping bad and constant columns: [REXPDE~TUSD_lag_1, CPIDE_lag_7, CPIDE_return_7, REXPDE~TUSD_lag_7, REXPDE~TUSD_return_7, REXPDE~TUSD_return_1, CPIDE_lag_1, REXPDE~TUSD, CPIDE~TUSD, CPIDE_return_1]\n",
      "\n",
      "██\n",
      "11:48:34.795: New leader: XGBoost_1_AutoML_10_20240826_114820, rmse: 183.78545539311725\n",
      "11:48:34.796: AutoML: starting GLM_1_AutoML_10_20240826_114820 model training\n",
      "11:48:34.796: _train param, Dropping bad and constant columns: [REXPDE~TUSD_lag_1, CPIDE_lag_7, CPIDE_return_7, REXPDE~TUSD_lag_7, REXPDE~TUSD_return_7, REXPDE~TUSD_return_1, CPIDE_lag_1, REXPDE~TUSD, CPIDE~TUSD, CPIDE_return_1]\n",
      "11:48:34.876: AutoML: starting GBM_1_AutoML_10_20240826_114820 model training\n",
      "11:48:34.877: _train param, Dropping bad and constant columns: [REXPDE~TUSD_lag_1, CPIDE_lag_7, CPIDE_return_7, REXPDE~TUSD_lag_7, REXPDE~TUSD_return_7, REXPDE~TUSD_return_1, CPIDE_lag_1, REXPDE~TUSD, CPIDE~TUSD, CPIDE_return_1]\n",
      "\n",
      "███\n",
      "11:48:51.522: AutoML: starting XGBoost_2_AutoML_10_20240826_114820 model training\n",
      "11:48:51.522: _train param, Dropping bad and constant columns: [REXPDE~TUSD_lag_1, CPIDE_lag_7, CPIDE_return_7, REXPDE~TUSD_lag_7, REXPDE~TUSD_return_7, REXPDE~TUSD_return_1, CPIDE_lag_1, REXPDE~TUSD, CPIDE~TUSD, CPIDE_return_1]\n",
      "\n",
      "█\n",
      "11:49:07.765: AutoML: starting DRF_1_AutoML_10_20240826_114820 model training\n",
      "11:49:07.766: _train param, Dropping bad and constant columns: [REXPDE~TUSD_lag_1, CPIDE_lag_7, CPIDE_return_7, REXPDE~TUSD_lag_7, REXPDE~TUSD_return_7, REXPDE~TUSD_return_1, CPIDE_lag_1, REXPDE~TUSD, CPIDE~TUSD, CPIDE_return_1]\n",
      "11:49:08.715: AutoML: starting GBM_2_AutoML_10_20240826_114820 model training\n",
      "11:49:08.716: _train param, Dropping bad and constant columns: [REXPDE~TUSD_lag_1, CPIDE_lag_7, CPIDE_return_7, REXPDE~TUSD_lag_7, REXPDE~TUSD_return_7, REXPDE~TUSD_return_1, CPIDE_lag_1, REXPDE~TUSD, CPIDE~TUSD, CPIDE_return_1]\n",
      "\n",
      "██\n",
      "11:49:15.57: New leader: GBM_2_AutoML_10_20240826_114820, rmse: 147.3048715574197\n",
      "11:49:15.57: AutoML: starting GBM_3_AutoML_10_20240826_114820 model training\n",
      "11:49:15.58: _train param, Dropping bad and constant columns: [REXPDE~TUSD_lag_1, CPIDE_lag_7, CPIDE_return_7, REXPDE~TUSD_lag_7, REXPDE~TUSD_return_7, REXPDE~TUSD_return_1, CPIDE_lag_1, REXPDE~TUSD, CPIDE~TUSD, CPIDE_return_1]\n",
      "\n",
      "██\n",
      "11:49:23.159: AutoML: starting GBM_4_AutoML_10_20240826_114820 model training\n",
      "11:49:23.159: _train param, Dropping bad and constant columns: [REXPDE~TUSD_lag_1, CPIDE_lag_7, CPIDE_return_7, REXPDE~TUSD_lag_7, REXPDE~TUSD_return_7, REXPDE~TUSD_return_1, CPIDE_lag_1, REXPDE~TUSD, CPIDE~TUSD, CPIDE_return_1]\n",
      "\n",
      "█\n",
      "11:49:30.488: AutoML: starting XGBoost_3_AutoML_10_20240826_114820 model training\n",
      "11:49:30.489: _train param, Dropping bad and constant columns: [REXPDE~TUSD_lag_1, CPIDE_lag_7, CPIDE_return_7, REXPDE~TUSD_lag_7, REXPDE~TUSD_return_7, REXPDE~TUSD_return_1, CPIDE_lag_1, REXPDE~TUSD, CPIDE~TUSD, CPIDE_return_1]\n",
      "\n",
      "█\n",
      "11:49:42.742: AutoML: starting XRT_1_AutoML_10_20240826_114820 model training\n",
      "11:49:42.742: _train param, Dropping bad and constant columns: [REXPDE~TUSD_lag_1, CPIDE_lag_7, CPIDE_return_7, REXPDE~TUSD_lag_7, REXPDE~TUSD_return_7, REXPDE~TUSD_return_1, CPIDE_lag_1, REXPDE~TUSD, CPIDE~TUSD, CPIDE_return_1]\n",
      "11:49:44.253: AutoML: starting GBM_5_AutoML_10_20240826_114820 model training\n",
      "11:49:44.253: _train param, Dropping bad and constant columns: [REXPDE~TUSD_lag_1, CPIDE_lag_7, CPIDE_return_7, REXPDE~TUSD_lag_7, REXPDE~TUSD_return_7, REXPDE~TUSD_return_1, CPIDE_lag_1, REXPDE~TUSD, CPIDE~TUSD, CPIDE_return_1]\n",
      "\n",
      "██\n",
      "11:49:49.378: AutoML: starting DeepLearning_1_AutoML_10_20240826_114820 model training\n",
      "11:49:49.378: _train param, Dropping bad and constant columns: [REXPDE~TUSD_lag_1, CPIDE_lag_7, CPIDE_return_7, REXPDE~TUSD_lag_7, REXPDE~TUSD_return_7, REXPDE~TUSD_return_1, CPIDE_lag_1, REXPDE~TUSD, CPIDE~TUSD, CPIDE_return_1]\n",
      "\n",
      "\n",
      "11:49:50.653: AutoML: starting XGBoost_grid_1_AutoML_10_20240826_114820 hyperparameter search\n",
      "\n",
      "█████████\n",
      "11:50:45.88: AutoML: starting GBM_grid_1_AutoML_10_20240826_114820 hyperparameter search\n",
      "\n",
      "██████████████\n",
      "11:51:07.220: AutoML: starting DeepLearning_grid_1_AutoML_10_20240826_114820 hyperparameter search\n",
      "\n",
      "███████████████\n",
      "11:53:45.669: AutoML: starting DeepLearning_grid_2_AutoML_10_20240826_114820 hyperparameter search\n",
      "\n",
      "██████\n",
      "11:57:56.693: AutoML: starting DeepLearning_grid_3_AutoML_10_20240826_114820 hyperparameter search\n",
      "\n",
      "███\n",
      "12:01:04.959: No base models, due to timeouts or the exclude_algos option. Skipping StackedEnsemble 'monotonic'.\n",
      "12:01:04.960: AutoML: starting StackedEnsemble_BestOfFamily_1_AutoML_10_20240826_114820 model training\n",
      "12:01:04.961: _train param, Dropping unused columns: [REXPDE~TUSD_lag_1, CPIDE_lag_7, CPIDE_return_7, REXPDE~TUSD_lag_7, REXPDE~TUSD_return_7, REXPDE~TUSD_return_1, CPIDE_lag_1, REXPDE~TUSD, CPIDE~TUSD, CPIDE_return_1]\n",
      "12:01:05.864: New leader: StackedEnsemble_BestOfFamily_1_AutoML_10_20240826_114820, rmse: 129.7570929485723\n",
      "12:01:05.865: AutoML: starting StackedEnsemble_AllModels_1_AutoML_10_20240826_114820 model training\n",
      "12:01:05.865: _train param, Dropping unused columns: [REXPDE~TUSD_lag_1, CPIDE_lag_7, CPIDE_return_7, REXPDE~TUSD_lag_7, REXPDE~TUSD_return_7, REXPDE~TUSD_return_1, CPIDE_lag_1, REXPDE~TUSD, CPIDE~TUSD, CPIDE_return_1]\n",
      "\n",
      "██| (done) 100%\n",
      "\n",
      "12:01:08.350: New leader: StackedEnsemble_AllModels_1_AutoML_10_20240826_114820, rmse: 116.44112956040445\n",
      "12:01:08.350: Actual modeling steps: [{XGBoost : [def_2 (1g, 10w)]}, {GLM : [def_1 (1g, 10w)]}, {GBM : [def_5 (1g, 10w)]}, {XGBoost : [def_1 (2g, 10w)]}, {DRF : [def_1 (2g, 10w)]}, {GBM : [def_2 (2g, 10w), def_3 (2g, 10w), def_4 (2g, 10w)]}, {XGBoost : [def_3 (3g, 10w)]}, {DRF : [XRT (3g, 10w)]}, {GBM : [def_1 (3g, 10w)]}, {DeepLearning : [def_1 (3g, 10w)]}, {XGBoost : [grid_1 (4g, 90w)]}, {GBM : [grid_1 (4g, 60w)]}, {DeepLearning : [grid_1 (4g, 30w), grid_2 (5g, 30w), grid_3 (5g, 30w)]}, {StackedEnsemble : [best_of_family_xglm (10g, 10w), all_xglm (10g, 10w)]}]\n",
      "12:01:08.350: AutoML build stopped: 2024.08.26 12:01:08.350\n",
      "12:01:08.350: AutoML build done: built 20 models\n",
      "12:01:08.350: AutoML duration: 12 min 47.451 sec\n",
      "\n",
      "\n",
      "Best model: Model Details\n",
      "=============\n",
      "H2OStackedEnsembleEstimator : Stacked Ensemble\n",
      "Model Key: StackedEnsemble_AllModels_1_AutoML_10_20240826_114820\n",
      "\n",
      "\n",
      "Model Summary for Stacked Ensemble: \n",
      "key                                        value\n",
      "-----------------------------------------  ----------------\n",
      "Stacking strategy                          cross_validation\n",
      "Number of base models (used / total)       10/20\n",
      "# GBM base models (used / total)           3/7\n",
      "# XGBoost base models (used / total)       6/6\n",
      "# DRF base models (used / total)           0/2\n",
      "# DeepLearning base models (used / total)  1/4\n",
      "# GLM base models (used / total)           0/1\n",
      "Metalearner algorithm                      GLM\n",
      "Metalearner fold assignment scheme         Random\n",
      "Metalearner nfolds                         5\n",
      "Metalearner fold_column\n",
      "Custom metalearner hyperparameters         None\n",
      "\n",
      "ModelMetricsRegressionGLM: stackedensemble\n",
      "** Reported on train data. **\n",
      "\n",
      "MSE: 617.7859214090548\n",
      "RMSE: 24.855299664438867\n",
      "MAE: 19.06491788789166\n",
      "RMSLE: 0.0024704318346462184\n",
      "Mean Residual Deviance: 617.7859214090548\n",
      "R^2: 0.9999406757420095\n",
      "Null degrees of freedom: 2886\n",
      "Residual degrees of freedom: 2876\n",
      "Null deviance: 30064395502.307724\n",
      "Residual deviance: 1783547.9551079413\n",
      "AIC: 26769.22302150792\n",
      "\n",
      "ModelMetricsRegressionGLM: stackedensemble\n",
      "** Reported on validation data. **\n",
      "\n",
      "MSE: 20017.41091555275\n",
      "RMSE: 141.4828997283868\n",
      "MAE: 88.57092183012531\n",
      "RMSLE: 0.013432437014584053\n",
      "Mean Residual Deviance: 20017.41091555275\n",
      "R^2: 0.9981003254084893\n",
      "Null degrees of freedom: 697\n",
      "Residual degrees of freedom: 687\n",
      "Null deviance: 7356871149.412313\n",
      "Residual deviance: 13972152.81905582\n",
      "AIC: 8918.079880640498\n",
      "\n",
      "ModelMetricsRegressionGLM: stackedensemble\n",
      "** Reported on cross-validation data. **\n",
      "\n",
      "MSE: 13558.536653302896\n",
      "RMSE: 116.44112956040445\n",
      "MAE: 74.90242127038381\n",
      "RMSLE: 0.012289823402336534\n",
      "Mean Residual Deviance: 13558.536653302896\n",
      "R^2: 0.9986980115627111\n",
      "Null degrees of freedom: 2886\n",
      "Residual degrees of freedom: 2876\n",
      "Null deviance: 30102433517.53738\n",
      "Residual deviance: 39143495.31808546\n",
      "AIC: 35686.09681323246\n",
      "\n",
      "Cross-Validation Metrics Summary: \n",
      "                        mean         sd           cv_1_valid    cv_2_valid    cv_3_valid    cv_4_valid    cv_5_valid\n",
      "----------------------  -----------  -----------  ------------  ------------  ------------  ------------  ------------\n",
      "aic                     7133.81      473.259      7167.4        7790.19       7154.53       7103.24       6453.68\n",
      "loglikelihood           0            0            0             0             0             0             0\n",
      "mae                     74.6977      5.01749      70.7879       77.1624       81.3348       68.7994       75.4039\n",
      "mean_residual_deviance  13461.7      3785.07      10610.2       17855.6       16949.7       9357.35       12535.6\n",
      "mse                     13461.7      3785.07      10610.2       17855.6       16949.7       9357.35       12535.6\n",
      "null_deviance           6.02049e+09  3.3349e+08   6.38401e+09   6.35239e+09   5.77719e+09   5.93785e+09   5.65099e+09\n",
      "r2                      0.998702     0.00037695   0.999017      0.998269      0.998335      0.999067      0.998822\n",
      "residual_deviance       7.79011e+06  2.36839e+06  6.26003e+06   1.09812e+07   9.61049e+06   5.53019e+06   6.56865e+06\n",
      "rmse                    115.104      16.3122      103.006       133.625       130.191       96.7334       111.962\n",
      "rmsle                   0.0121868    0.00168739   0.0101435     0.0141294     0.0126866     0.01074       0.0132343\n",
      "\n",
      "Model saved to: /home/marius/finance_code/StackedEnsemble_AllModels_1_AutoML_10_20240826_114820\n",
      "DataFrame and model path saved.\n",
      "\n",
      "Feature Importances:\n",
      "Warning: This model doesn't have variable importances\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "import h2o\n",
    "from h2o.automl import H2OAutoML\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# Initialize H2O\n",
    "h2o.init()\n",
    "\n",
    "# Assuming 'df' is your original DataFrame\n",
    "# Make sure it's sorted by date\n",
    "df = df.sort_index()\n",
    "\n",
    "# Feature Engineering (with warnings removed)\n",
    "for col in ['close', 'REXPDE~TUSD', 'volume']:\n",
    "    df.loc[:, f'{col}_lag_1'] = df[col].shift(1)\n",
    "    df.loc[:, f'{col}_lag_7'] = df[col].shift(7)\n",
    "    df.loc[:, f'{col}_return_1'] = df[col].pct_change(1)\n",
    "    df.loc[:, f'{col}_return_7'] = df[col].pct_change(7)\n",
    "\n",
    "# Special handling for CPIDE\n",
    "df.loc[:, 'CPIDE_lag_1'] = df['CPIDE~TUSD'].shift(1)\n",
    "df.loc[:, 'CPIDE_lag_7'] = df['CPIDE~TUSD'].shift(7)\n",
    "df.loc[:, 'CPIDE_return_1'] = df['CPIDE~TUSD'].pct_change(1)\n",
    "df.loc[:, 'CPIDE_return_7'] = df['CPIDE~TUSD'].pct_change(7)\n",
    "\n",
    "# Remove rows with NaN values\n",
    "df = df.dropna()\n",
    "\n",
    "# Select features\n",
    "features = ['REXPDE~TUSD', 'CPIDE~TUSD', 'volume', 'vwap', 'LorentzianIndicator',\n",
    "            'REXPDE~TUSD_lag_1', 'REXPDE~TUSD_lag_7', 'REXPDE~TUSD_return_1', 'REXPDE~TUSD_return_7',\n",
    "            'volume_lag_1', 'volume_lag_7', 'volume_return_1', 'volume_return_7',\n",
    "            'CPIDE_lag_1', 'CPIDE_lag_7', 'CPIDE_return_1', 'CPIDE_return_7']\n",
    "target = 'close'\n",
    "\n",
    "print(\"Features used:\", features)\n",
    "print(\"\\nDataFrame shape:\", df.shape)\n",
    "print(\"\\nDataFrame column types:\")\n",
    "print(df.dtypes)\n",
    "\n",
    "# Convert to H2OFrame\n",
    "h2o_df = h2o.H2OFrame(df.reset_index())\n",
    "\n",
    "print(\"\\nH2OFrame column types:\")\n",
    "print(h2o_df.types)\n",
    "\n",
    "# Split the data into train and validation sets\n",
    "train, valid = h2o_df.split_frame(ratios=[0.8], seed=1234)\n",
    "\n",
    "# Run AutoML with adjusted parameters\n",
    "aml = H2OAutoML(max_runtime_secs=3600,  # 1 hour\n",
    "                seed=1234,\n",
    "                sort_metric='RMSE',\n",
    "                stopping_rounds=10,\n",
    "                stopping_tolerance=0.001,\n",
    "                stopping_metric='RMSE',\n",
    "                max_models=20,\n",
    "                keep_cross_validation_predictions=True,\n",
    "                keep_cross_validation_models=True,\n",
    "                verbosity='info',\n",
    "                nfolds=5)\n",
    "\n",
    "# Train the model\n",
    "aml.train(x=features, y=target, training_frame=train, validation_frame=valid)\n",
    "\n",
    "# Get the best model\n",
    "best_model = aml.leader\n",
    "print(\"\\nBest model:\", best_model)\n",
    "\n",
    "# Save the model\n",
    "model_path = h2o.save_model(model=best_model, path=\"./\", force=True)\n",
    "print(f\"\\nModel saved to: {model_path}\")\n",
    "\n",
    "# Save the DataFrame to a pickle file for later use\n",
    "df.to_pickle('dax_data.pkl')\n",
    "with open('model_path.txt', 'w') as f:\n",
    "    f.write(model_path)\n",
    "print(\"DataFrame and model path saved.\")\n",
    "\n",
    "# Optionally, you can print feature importances\n",
    "if hasattr(best_model, 'varimp'):\n",
    "    print(\"\\nFeature Importances:\")\n",
    "    print(best_model.varimp())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "id": "cfad0910-1eb6-4acf-ab79-a18144858114",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Checking whether there is an H2O instance running at http://localhost:54321. connected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "\n",
       "#h2o-table-23.h2o-container {\n",
       "  overflow-x: auto;\n",
       "}\n",
       "#h2o-table-23 .h2o-table {\n",
       "  /* width: 100%; */\n",
       "  margin-top: 1em;\n",
       "  margin-bottom: 1em;\n",
       "}\n",
       "#h2o-table-23 .h2o-table caption {\n",
       "  white-space: nowrap;\n",
       "  caption-side: top;\n",
       "  text-align: left;\n",
       "  /* margin-left: 1em; */\n",
       "  margin: 0;\n",
       "  font-size: larger;\n",
       "}\n",
       "#h2o-table-23 .h2o-table thead {\n",
       "  white-space: nowrap; \n",
       "  position: sticky;\n",
       "  top: 0;\n",
       "  box-shadow: 0 -1px inset;\n",
       "}\n",
       "#h2o-table-23 .h2o-table tbody {\n",
       "  overflow: auto;\n",
       "}\n",
       "#h2o-table-23 .h2o-table th,\n",
       "#h2o-table-23 .h2o-table td {\n",
       "  text-align: right;\n",
       "  /* border: 1px solid; */\n",
       "}\n",
       "#h2o-table-23 .h2o-table tr:nth-child(even) {\n",
       "  /* background: #F5F5F5 */\n",
       "}\n",
       "\n",
       "</style>      \n",
       "<div id=\"h2o-table-23\" class=\"h2o-container\">\n",
       "  <table class=\"h2o-table\">\n",
       "    <caption></caption>\n",
       "    <thead></thead>\n",
       "    <tbody><tr><td>H2O_cluster_uptime:</td>\n",
       "<td>1 hour 52 mins</td></tr>\n",
       "<tr><td>H2O_cluster_timezone:</td>\n",
       "<td>Etc/UTC</td></tr>\n",
       "<tr><td>H2O_data_parsing_timezone:</td>\n",
       "<td>UTC</td></tr>\n",
       "<tr><td>H2O_cluster_version:</td>\n",
       "<td>3.46.0.4</td></tr>\n",
       "<tr><td>H2O_cluster_version_age:</td>\n",
       "<td>1 month and 16 days</td></tr>\n",
       "<tr><td>H2O_cluster_name:</td>\n",
       "<td>H2O_from_python_marius_f9963f</td></tr>\n",
       "<tr><td>H2O_cluster_total_nodes:</td>\n",
       "<td>1</td></tr>\n",
       "<tr><td>H2O_cluster_free_memory:</td>\n",
       "<td>1.925 Gb</td></tr>\n",
       "<tr><td>H2O_cluster_total_cores:</td>\n",
       "<td>6</td></tr>\n",
       "<tr><td>H2O_cluster_allowed_cores:</td>\n",
       "<td>6</td></tr>\n",
       "<tr><td>H2O_cluster_status:</td>\n",
       "<td>locked, healthy</td></tr>\n",
       "<tr><td>H2O_connection_url:</td>\n",
       "<td>http://localhost:54321</td></tr>\n",
       "<tr><td>H2O_connection_proxy:</td>\n",
       "<td>{\"http\": null, \"https\": null}</td></tr>\n",
       "<tr><td>H2O_internal_security:</td>\n",
       "<td>False</td></tr>\n",
       "<tr><td>Python_version:</td>\n",
       "<td>3.11.9 final</td></tr></tbody>\n",
       "  </table>\n",
       "</div>\n"
      ],
      "text/plain": [
       "--------------------------  -----------------------------\n",
       "H2O_cluster_uptime:         1 hour 52 mins\n",
       "H2O_cluster_timezone:       Etc/UTC\n",
       "H2O_data_parsing_timezone:  UTC\n",
       "H2O_cluster_version:        3.46.0.4\n",
       "H2O_cluster_version_age:    1 month and 16 days\n",
       "H2O_cluster_name:           H2O_from_python_marius_f9963f\n",
       "H2O_cluster_total_nodes:    1\n",
       "H2O_cluster_free_memory:    1.925 Gb\n",
       "H2O_cluster_total_cores:    6\n",
       "H2O_cluster_allowed_cores:  6\n",
       "H2O_cluster_status:         locked, healthy\n",
       "H2O_connection_url:         http://localhost:54321\n",
       "H2O_connection_proxy:       {\"http\": null, \"https\": null}\n",
       "H2O_internal_security:      False\n",
       "Python_version:             3.11.9 final\n",
       "--------------------------  -----------------------------"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parse progress: |████████████████████████████████████████████████████████████████| (done) 100%\n"
     ]
    }
   ],
   "source": [
    "import h2o\n",
    "import pandas as pd\n",
    "import pickle\n",
    "from sklearn.metrics import mean_squared_error, mean_absolute_error\n",
    "import numpy as np\n",
    "\n",
    "# Initialize H2O\n",
    "h2o.init()\n",
    "\n",
    "# Load the trained model and data\n",
    "df = pd.read_pickle('dax_data.pkl')\n",
    "model_path = open('model_path.txt', 'r').read().strip()\n",
    "best_model = h2o.load_model(model_path)\n",
    "\n",
    "# Convert the DataFrame to an H2OFrame\n",
    "h2o_df = h2o.H2OFrame(df)\n",
    "\n",
    "# Split the data back into train, validation, and test sets\n",
    "train, valid, test = h2o_df.split_frame(ratios=[0.7, 0.15], seed=1234)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "id": "7aba7967-c3d7-4b1b-97dc-88301eaebf2e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "stackedensemble prediction progress: |███████████████████████████████████████████| (done) 100%\n",
      "\n",
      "Model Evaluation Results on Validation Set:\n",
      "Root Mean Squared Error (RMSE): 70.87788472386278\n",
      "Mean Absolute Error (MAE): 39.49734823980442\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/marius/miniconda3/envs/openbb/lib/python3.11/site-packages/h2o/frame.py:1981: H2ODependencyWarning:\n",
      "\n",
      "Converting H2O frame to pandas dataframe using single-thread.  For faster conversion using multi-thread, install polars and pyarrow and use it as pandas_df = h2o_df.as_data_frame(use_multi_thread=True)\n",
      "\n",
      "\n",
      "/home/marius/miniconda3/envs/openbb/lib/python3.11/site-packages/h2o/frame.py:1981: H2ODependencyWarning:\n",
      "\n",
      "Converting H2O frame to pandas dataframe using single-thread.  For faster conversion using multi-thread, install polars and pyarrow and use it as pandas_df = h2o_df.as_data_frame(use_multi_thread=True)\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Generate predictions on the validation set\n",
    "predictions = best_model.predict(valid)\n",
    "\n",
    "# Convert H2OFrame to Pandas DataFrame\n",
    "y_true = valid['close'].as_data_frame().values.flatten()  # Actual values\n",
    "y_pred = predictions.as_data_frame().values.flatten()      # Predicted values\n",
    "\n",
    "# Calculate evaluation metrics\n",
    "mse = mean_squared_error(y_true, y_pred)\n",
    "rmse = np.sqrt(mse)\n",
    "mae = mean_absolute_error(y_true, y_pred)\n",
    "\n",
    "# Print the evaluation metrics\n",
    "print(f\"\\nModel Evaluation Results on Validation Set:\")\n",
    "print(f\"Root Mean Squared Error (RMSE): {rmse}\")\n",
    "print(f\"Mean Absolute Error (MAE): {mae}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "id": "446990f5-8a4d-4f65-a3f3-7e2433ce4c0e",
   "metadata": {},
   "outputs": [
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "\n",
    "# Create a plot to visualize the predictions vs actual values\n",
    "fig = go.Figure()\n",
    "\n",
    "# Plot the actual values\n",
    "fig.add_trace(go.Scatter(x=np.arange(len(y_true)), y=y_true, mode='lines', name='Actual'))\n",
    "\n",
    "# Plot the predicted values\n",
    "fig.add_trace(go.Scatter(x=np.arange(len(y_pred)), y=y_pred, mode='lines', name='Predicted'))\n",
    "\n",
    "# Update layout\n",
    "fig.update_layout(title='Actual vs Predicted Close Values on Validation Set',\n",
    "                  xaxis_title='Index',\n",
    "                  yaxis_title='Close Price',\n",
    "                  hovermode='x unified')\n",
    "\n",
    "# Show the plot\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "id": "c1e6c26e-2a7a-4991-89c7-0c8431681be2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parse progress: |████████████████████████████████████████████████████████████████| (done) 100%\n",
      "\n",
      "H2OFrame column types:\n",
      "{'REXPDE~TUSD': 'int', 'CPIDE~TUSD': 'real', 'open': 'real', 'high': 'real', 'low': 'real', 'close': 'real', 'volume': 'int', 'vwap': 'real', 'adj_close': 'real', 'unadjusted_volume': 'int', 'change': 'real', 'change_percent': 'real', 'KalmanEstimate': 'real', 'LorentzianIndicator': 'real', 'close_lag_1': 'real', 'close_lag_7': 'real', 'close_return_1': 'real', 'close_return_7': 'real', 'REXPDE~TUSD_lag_1': 'int', 'REXPDE~TUSD_lag_7': 'int', 'REXPDE~TUSD_return_1': 'int', 'REXPDE~TUSD_return_7': 'int', 'volume_lag_1': 'int', 'volume_lag_7': 'int', 'volume_return_1': 'real', 'volume_return_7': 'real', 'CPIDE_lag_1': 'real', 'CPIDE_lag_7': 'real', 'CPIDE_return_1': 'int', 'CPIDE_return_7': 'int'}\n"
     ]
    }
   ],
   "source": [
    "import h2o\n",
    "import pandas as pd\n",
    "\n",
    "# Load the DataFrame and model\n",
    "df = pd.read_pickle('dax_data.pkl')\n",
    "\n",
    "# Convert the DataFrame to an H2OFrame\n",
    "h2o_df = h2o.H2OFrame(df)\n",
    "\n",
    "# Print data types to confirm\n",
    "print(\"\\nH2OFrame column types:\")\n",
    "print(h2o_df.types)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "id": "369db021-ab2b-49ec-a612-5c745b9b0a94",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parse progress: |████████████████████████████████████████████████████████████████| (done) 100%\n",
      "Next day's H2OFrame:\n",
      "  REXPDE~TUSD    CPIDE~TUSD     open     high      low    close       volume     vwap    adj_close    unadjusted_volume    change    change_percent    KalmanEstimate    LorentzianIndicator    close_lag_1    close_lag_7    close_return_1    close_return_7    REXPDE~TUSD_lag_1    REXPDE~TUSD_lag_7    REXPDE~TUSD_return_1    REXPDE~TUSD_return_7    volume_lag_1    volume_lag_7    volume_return_1    volume_return_7    CPIDE_lag_1    CPIDE_lag_7    CPIDE_return_1    CPIDE_return_7\n",
      "       441754        130.25  18538.9  18670.4  18519.3  18633.1  4.11225e+07  18590.4      18633.1          4.11225e+07   94.2305         0.0050829           18199.9                5.23463        18493.4        17726.5        0.00755454         0.0511455               441754               441754                       0                       0     4.09509e+07     3.87086e+07         0.00419038          0.0623608         130.25         130.25                 0                 0\n",
      "[1 row x 30 columns]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import h2o\n",
    "import pandas as pd\n",
    "from datetime import datetime, timedelta\n",
    "\n",
    "# Prepare the data for the next day prediction\n",
    "last_row = df.iloc[-1].copy()\n",
    "\n",
    "next_day = last_row.name + timedelta(days=1)\n",
    "\n",
    "# Create a new Series for the next day, using the next day as the index\n",
    "next_day_series = last_row.copy()\n",
    "next_day_series.name = next_day\n",
    "\n",
    "# Convert to DataFrame\n",
    "next_day_df = pd.DataFrame([next_day_series])\n",
    "\n",
    "# Ensure 'volume_return_7' and all similar columns are set as float\n",
    "next_day_df['volume_return_7'] = next_day_df['volume_return_7'].astype('float')\n",
    "\n",
    "# Define the types dictionary\n",
    "types_dict = {\n",
    "    'open': 'real',\n",
    "    'high': 'real',\n",
    "    'low': 'real',\n",
    "    'close': 'real',\n",
    "    'volume': 'int',\n",
    "    'vwap': 'real',\n",
    "    'adj_close': 'real',\n",
    "    'unadjusted_volume': 'int',\n",
    "    'change': 'real',\n",
    "    'change_percent': 'real',\n",
    "    'KalmanEstimate': 'real',\n",
    "    'LorentzianIndicator': 'real',\n",
    "    'REXPDE~TUSD': 'int',\n",
    "    'CPIDE': 'real',\n",
    "    'close_lag_1': 'real',\n",
    "    'close_lag_7': 'real',\n",
    "    'close_lag_30': 'real',\n",
    "    'close_return_1': 'real',\n",
    "    'close_return_7': 'real',\n",
    "    'close_return_30': 'real',\n",
    "    'REXPDE~TUSD_lag_1': 'int',\n",
    "    'REXPDE~TUSD_lag_7': 'int',\n",
    "    'REXPDE~TUSD_lag_30': 'int',\n",
    "    'REXPDE~TUSD_return_1': 'real',\n",
    "    'REXPDE~TUSD_return_7': 'real',\n",
    "    'REXPDE~TUSD_return_30': 'real',\n",
    "    'LorentzianIndicator_lag_1': 'real',\n",
    "    'LorentzianIndicator_lag_7': 'real',\n",
    "    'LorentzianIndicator_lag_30': 'real',\n",
    "    'LorentzianIndicator_return_1': 'real',\n",
    "    'LorentzianIndicator_return_7': 'real',\n",
    "    'LorentzianIndicator_return_30': 'real',\n",
    "    'volume_lag_1': 'int',\n",
    "    'volume_lag_7': 'int',\n",
    "    'volume_lag_30': 'int',\n",
    "    'volume_return_1': 'real',\n",
    "    'volume_return_7': 'real',\n",
    "    'volume_return_30': 'real',\n",
    "    'CPIDE_lag_1': 'real',\n",
    "    'CPIDE_lag_7': 'real',\n",
    "    'CPIDE_lag_30': 'real',\n",
    "    'CPIDE_return_1': 'real',\n",
    "    'CPIDE_return_7': 'real',\n",
    "    'CPIDE_return_30': 'real',\n",
    "}\n",
    "\n",
    "# Filter the types_dict to only include keys that are in next_day_df columns\n",
    "filtered_types_dict = {k: v for k, v in types_dict.items() if k in next_day_df.columns}\n",
    "\n",
    "# Convert the DataFrame to an H2OFrame with the filtered types_dict\n",
    "next_day_h2o = h2o.H2OFrame(next_day_df, column_types=filtered_types_dict)\n",
    "\n",
    "print(\"Next day's H2OFrame:\")\n",
    "print(next_day_h2o)\n"
   ]
  },
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   "cell_type": "code",
   "execution_count": 242,
   "id": "bc4bdca0-b3fb-424f-8c71-f95d6288e22f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "stackedensemble prediction progress: |███████████████████████████████████████████| (done) 100%\n",
      "Prediction for 2024-08-24: 18676.59221790417\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/marius/miniconda3/envs/openbb/lib/python3.11/site-packages/h2o/frame.py:1981: H2ODependencyWarning:\n",
      "\n",
      "Converting H2O frame to pandas dataframe using single-thread.  For faster conversion using multi-thread, install polars and pyarrow and use it as pandas_df = h2o_df.as_data_frame(use_multi_thread=True)\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Predict the 'close' value for the next day\n",
    "try:\n",
    "    prediction = best_model.predict(next_day_h2o)\n",
    "    predicted_close = prediction.as_data_frame().iloc[0, 0]\n",
    "    print(f\"Prediction for {next_day.date()}: {predicted_close}\")\n",
    "except Exception as e:\n",
    "    print(f\"An error occurred during prediction: {str(e)}\")\n"
   ]
  },
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   "cell_type": "code",
   "execution_count": 243,
   "id": "b5e585bf-d251-41d5-83c1-4d86235c409d",
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          "2010-09-03T00:00:00",
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          "2010-11-08T00:00:00",
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          "2010-11-10T00:00:00",
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          "2010-11-12T00:00:00",
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          "2010-11-17T00:00:00",
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          "2010-11-24T00:00:00",
          "2010-11-25T00:00:00",
          "2010-11-26T00:00:00",
          "2010-11-29T00:00:00",
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          "2010-12-01T00:00:00",
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          "2010-12-07T00:00:00",
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          "2011-01-03T00:00:00",
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          "2011-02-09T00:00:00",
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          "2011-05-10T00:00:00",
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          "2011-06-09T00:00:00",
          "2011-06-10T00:00:00",
          "2011-06-13T00:00:00",
          "2011-06-14T00:00:00",
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          "2011-07-08T00:00:00",
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          "2011-07-25T00:00:00",
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          "2011-08-01T00:00:00",
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          "2011-08-25T00:00:00",
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          "2011-08-29T00:00:00",
          "2011-08-30T00:00:00",
          "2011-08-31T00:00:00",
          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-05T00:00:00",
          "2011-09-06T00:00:00",
          "2011-09-07T00:00:00",
          "2011-09-08T00:00:00",
          "2011-09-09T00:00:00",
          "2011-09-12T00:00:00",
          "2011-09-13T00:00:00",
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          "2011-09-26T00:00:00",
          "2011-09-27T00:00:00",
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          "2011-09-30T00:00:00",
          "2011-10-04T00:00:00",
          "2011-10-05T00:00:00",
          "2011-10-06T00:00:00",
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          "2011-10-27T00:00:00",
          "2011-10-28T00:00:00",
          "2011-10-31T00:00:00",
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          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
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          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
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          "2011-11-16T00:00:00",
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          "2011-11-18T00:00:00",
          "2011-11-21T00:00:00",
          "2011-11-22T00:00:00",
          "2011-11-23T00:00:00",
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          "2011-11-28T00:00:00",
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          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
          "2011-12-02T00:00:00",
          "2011-12-05T00:00:00",
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          "2011-12-07T00:00:00",
          "2011-12-08T00:00:00",
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          "2011-12-13T00:00:00",
          "2011-12-14T00:00:00",
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          "2012-01-02T00:00:00",
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",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "\n",
    "# Historical data\n",
    "fig = go.Figure()\n",
    "fig.add_trace(go.Scatter(x=df.index, y=df['close'], mode='lines', name='Historical'))\n",
    "\n",
    "# Plot the prediction with a violet dot\n",
    "fig.add_trace(go.Scatter(x=[next_day_df.index[0]], y=[next_day_df['close'].iloc[0]], mode='markers', name='Next Day Prediction', marker=dict(color='violet', size=12, symbol='circle')))\n",
    "\n",
    "# Update layout for better style\n",
    "fig.update_layout(\n",
    "    title='Next Day Prediction with Violet Dot',\n",
    "    xaxis_title='Date',\n",
    "    yaxis_title='Close Price',\n",
    "    hovermode='x unified',\n",
    "    plot_bgcolor='rgba(0,0,0,0)',\n",
    "    xaxis=dict(showgrid=True, gridcolor='LightGray'),\n",
    "    yaxis=dict(showgrid=True, gridcolor='LightGray')\n",
    ")\n",
    "\n",
    "# Show the plot\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8750240-2e84-4d6e-8f9a-a4ed82f7ea56",
   "metadata": {},
   "source": [
    "# Kalman estimate (high, low, close)\n",
    "\n",
    "Useful for stop-loss and take-profit estimation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "461af6cf-498b-413c-aa24-9ec87e050549",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "index                 object\n",
      "REXPDE~TUSD          float64\n",
      "CPIDE~TUSD           float64\n",
      "open                 float64\n",
      "high                 float64\n",
      "low                  float64\n",
      "close                float64\n",
      "volume               float64\n",
      "vwap                 float64\n",
      "adj_close            float64\n",
      "unadjusted_volume    float64\n",
      "change               float64\n",
      "change_percent       float64\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "df = combined_df.iloc[-365:]\n",
    "print(df.dtypes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "a3240957-f544-46c4-9a9c-374145777e19",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            index  REXPDE~TUSD  CPIDE~TUSD      open          high  \\\n",
      "18133  2023-03-23     441754.0      130.25  15178.25  15244.320313   \n",
      "\n",
      "                low         close      volume      vwap     adj_close  \\\n",
      "18133  15078.719727  15210.389648  82739800.0  15177.81  15210.389648   \n",
      "\n",
      "       unadjusted_volume    change  change_percent  \n",
      "18133         82739800.0  32.13965        0.002118  \n"
     ]
    }
   ],
   "source": [
    "print(df.head(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "26570013-fa43-48f9-8d8b-1175fa1ae643",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "int64\n"
     ]
    }
   ],
   "source": [
    "print(df.index.dtype)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "49e265a1-1d6b-4f48-bc19-7146403d17cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimate for the next value: 18237.40405528656\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from pykalman import KalmanFilter\n",
    "\n",
    "# Assuming df is your DataFrame with a 'close' column\n",
    "\n",
    "# Initialize Kalman Filter\n",
    "kf = KalmanFilter(\n",
    "    initial_state_mean=df['close'].iloc[0],\n",
    "    initial_state_covariance=1,\n",
    "    transition_matrices=[1],\n",
    "    observation_matrices=[1],\n",
    "    observation_covariance=1,\n",
    "    transition_covariance=0.01\n",
    ")\n",
    "\n",
    "# Filter the data\n",
    "filtered_state_means, filtered_state_covariances = kf.filter(df['close'])\n",
    "\n",
    "# Get the last filtered state\n",
    "last_state_mean = filtered_state_means[-1]\n",
    "last_state_covariance = filtered_state_covariances[-1]\n",
    "\n",
    "# Predict the next state\n",
    "next_state_mean, next_state_covariance = kf.filter_update(\n",
    "    filtered_state_mean=last_state_mean,\n",
    "    filtered_state_covariance=last_state_covariance\n",
    ")\n",
    "\n",
    "print(f\"Estimate for the next value: {next_state_mean[0]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "9b952d5e-51cd-4858-b226-26c75c1c7890",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimate for the next value: 18304.2989056854\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from pykalman import KalmanFilter\n",
    "\n",
    "# Assuming df is your DataFrame with a 'close' column\n",
    "\n",
    "# Initialize Kalman Filter\n",
    "kf = KalmanFilter(\n",
    "    initial_state_mean=df['high'].iloc[0],\n",
    "    initial_state_covariance=1,\n",
    "    transition_matrices=[1],\n",
    "    observation_matrices=[1],\n",
    "    observation_covariance=1,\n",
    "    transition_covariance=0.01\n",
    ")\n",
    "\n",
    "# Filter the data\n",
    "filtered_state_means, filtered_state_covariances = kf.filter(df['high'])\n",
    "\n",
    "# Get the last filtered state\n",
    "last_state_mean = filtered_state_means[-1]\n",
    "last_state_covariance = filtered_state_covariances[-1]\n",
    "\n",
    "# Predict the next state\n",
    "next_state_mean, next_state_covariance = kf.filter_update(\n",
    "    filtered_state_mean=last_state_mean,\n",
    "    filtered_state_covariance=last_state_covariance\n",
    ")\n",
    "\n",
    "print(f\"Estimate for the next value: {next_state_mean[0]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "83038d7b-3aa4-4802-b19e-d19891f63352",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimate for the next value: 18237.40405528656\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from pykalman import KalmanFilter\n",
    "\n",
    "# Assuming df is your DataFrame with a 'close' column\n",
    "\n",
    "# Initialize Kalman Filter\n",
    "kf = KalmanFilter(\n",
    "    initial_state_mean=df['close'].iloc[0],\n",
    "    initial_state_covariance=1,\n",
    "    transition_matrices=[1],\n",
    "    observation_matrices=[1],\n",
    "    observation_covariance=1,\n",
    "    transition_covariance=0.01\n",
    ")\n",
    "\n",
    "# Filter the data\n",
    "filtered_state_means, filtered_state_covariances = kf.filter(df['close'])\n",
    "\n",
    "# Get the last filtered state\n",
    "last_state_mean = filtered_state_means[-1]\n",
    "last_state_covariance = filtered_state_covariances[-1]\n",
    "\n",
    "# Predict the next state\n",
    "next_state_mean, next_state_covariance = kf.filter_update(\n",
    "    filtered_state_mean=last_state_mean,\n",
    "    filtered_state_covariance=last_state_covariance\n",
    ")\n",
    "\n",
    "print(f\"Estimate for the next value: {next_state_mean[0]}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73da180b-a0a8-488c-b377-fc4591ea0e61",
   "metadata": {},
   "source": [
    "# Buy / sell signals for the Dax (GDAXi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "69aa7d54-7d05-4a82-9d4a-4269023fb7cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import talib as ta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "d5c705f3-7041-42d6-88c0-1ecdf7882d73",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "index                 object\n",
      "REXPDE~TUSD          float64\n",
      "CPIDE~TUSD           float64\n",
      "open                 float64\n",
      "high                 float64\n",
      "low                  float64\n",
      "close                float64\n",
      "volume               float64\n",
      "vwap                 float64\n",
      "adj_close            float64\n",
      "unadjusted_volume    float64\n",
      "change               float64\n",
      "change_percent       float64\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "df = combined_df.iloc[-365:].copy()\n",
    "print(df.dtypes)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "47c6f776-ce9f-484c-90b9-8aa2a38b87fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "def ma(ma_type, src, length, volume=None):\n",
    "    if ma_type == 'SMA':\n",
    "        return ta.SMA(src, timeperiod=length)\n",
    "    elif ma_type == 'EMA':\n",
    "        return ta.EMA(src, timeperiod=length)\n",
    "    elif ma_type == 'DEMA':\n",
    "        return ta.DEMA(src, timeperiod=length)\n",
    "    elif ma_type == 'TEMA':\n",
    "        return ta.TEMA(src, timeperiod=length)\n",
    "    elif ma_type == 'WMA':\n",
    "        return ta.WMA(src, timeperiod=length)\n",
    "    elif ma_type == 'VWMA':\n",
    "        if volume is None:\n",
    "            raise ValueError(\"Volume data is required for VWMA\")\n",
    "        return ta.SMA(src * volume, timeperiod=length) / ta.SMA(volume, timeperiod=length)\n",
    "    elif ma_type == 'SMMA':\n",
    "        return ta.SMA(src, timeperiod=length)\n",
    "    elif ma_type == 'HMA':\n",
    "        return ta.WMA(2 * ta.WMA(src, timeperiod=length // 2) - ta.WMA(src, timeperiod=length), timeperiod=int(np.sqrt(length)))\n",
    "    elif ma_type == 'LSMA':\n",
    "        return ta.LINEARREG(src, timeperiod=length)\n",
    "    elif ma_type == 'PEMA':\n",
    "        ema1 = ta.EMA(src, timeperiod=length)\n",
    "        ema2 = ta.EMA(ema1, timeperiod=length)\n",
    "        ema3 = ta.EMA(ema2, timeperiod=length)\n",
    "        ema4 = ta.EMA(ema3, timeperiod=length)\n",
    "        ema5 = ta.EMA(ema4, timeperiod=length)\n",
    "        ema6 = ta.EMA(ema5, timeperiod=length)\n",
    "        ema7 = ta.EMA(ema6, timeperiod=length)\n",
    "        ema8 = ta.EMA(ema7, timeperiod=length)\n",
    "        return 8 * ema1 - 28 * ema2 + 56 * ema3 - 70 * ema4 + 56 * ema5 - 28 * ema6 + 8 * ema7 - ema8\n",
    "    else:\n",
    "        raise ValueError(f\"Unknown MA Type: {ma_type}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "e9289c53-f7b6-44ef-a10b-6f9a5ab4eb53",
   "metadata": {},
   "outputs": [],
   "source": [
    "def kalman_filter(df, sharpness, k_period):\n",
    "    df.loc[:, 'kfilt'] = 0.0\n",
    "    df.loc[:, 'velocity'] = 0.0\n",
    "    for i in range(1, len(df)):\n",
    "        distance = df['close'].iloc[i] - df['kfilt'].iloc[i - 1]\n",
    "        error = df['kfilt'].iloc[i - 1] + distance * np.sqrt(sharpness * k_period / 100)\n",
    "        velocity = df['velocity'].iloc[i - 1] + distance * k_period / 100\n",
    "        df.loc[df.index[i], 'kfilt'] = error + velocity\n",
    "        df.loc[df.index[i], 'velocity'] = velocity\n",
    "    return df['kfilt']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "8bc4ef6b-bc67-4735-8e1e-042f7782cdad",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_roc(df, length):\n",
    "    return ta.ROC(df['kfilt'], timeperiod=length)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "1002d3da-c2c9-4c79-8f73-b9bfecb9df0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_stochastic(df, periodK, smoothK, periodD):\n",
    "    k, d = ta.STOCH(df['high'], df['low'], df['close'],\n",
    "                    fastk_period=periodK,\n",
    "                    slowk_period=smoothK, \n",
    "                    slowk_matype=0,\n",
    "                    slowd_period=periodD,\n",
    "                    slowd_matype=0)\n",
    "    return k, d\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "a86a97b2-0327-4717-b0f1-8bcd32d5624d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_blend(df, ma_type, smoothlen):\n",
    "    roc = calculate_roc(df, length=9)  # Assuming length=9\n",
    "    _, d = calculate_stochastic(df, periodK=14, smoothK=1, periodD=3)  # Default values\n",
    "    blend = (roc + d) / 2\n",
    "    blend = ma(ma_type, blend, smoothlen)\n",
    "    blend = blend.dropna()  # Drop NaN values that could arise from insufficient data\n",
    "    return blend\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "03c913a3-453b-401c-87b8-a0bf41fa66a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_signals(df, blend):\n",
    "    df.loc[:, 'buy_signal'] = np.where((blend > blend.shift(1)) & (blend.shift(1) <= blend.shift(2)), 1, 0)\n",
    "    df.loc[:, 'sell_signal'] = np.where((blend < blend.shift(1)) & (blend.shift(1) >= blend.shift(2)), 1, 0)\n",
    "    return df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "95208370-2aec-4a2e-8424-6fe5a80a06c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "def analyze(df, ma_type='TEMA', smoothlen=12, sharpness=25.0, k_period=1.0):\n",
    "    df['kfilt'] = kalman_filter(df, sharpness, k_period)\n",
    "    blend = calculate_blend(df, ma_type, smoothlen)\n",
    "    \n",
    "    # Reindex blend to match the original DataFrame index, filling NaNs if necessary\n",
    "    blend = blend.reindex(df.index)\n",
    "    \n",
    "    # Fill NaNs with forward fill (or choose another method like backward fill or fill with a specific value)\n",
    "    blend = blend.ffill()  # forward fill to replace NaNs\n",
    "    \n",
    "    df['blend'] = blend\n",
    "    \n",
    "    # Generate signals\n",
    "    df = generate_signals(df, df['blend'])\n",
    "    \n",
    "    return df[['buy_signal', 'sell_signal']]  # Return only the buy and sell signals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "a35b5788-c54e-419c-9327-fce714d5ca6b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       buy_signal  sell_signal\n",
      "18133           0            0\n",
      "18134           0            0\n",
      "18135           0            0\n",
      "18136           0            0\n",
      "18137           0            0\n",
      "...           ...          ...\n",
      "18493           0            0\n",
      "18494           0            0\n",
      "18495           0            0\n",
      "18496           0            0\n",
      "18497           0            0\n",
      "\n",
      "[365 rows x 2 columns]\n"
     ]
    }
   ],
   "source": [
    "# Analyze and print only the buy and sell signals\n",
    "signal_df = analyze(df)\n",
    "print(signal_df)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "1340b1ea-482a-49aa-b259-58449490c862",
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.graph_objs as go\n",
    "import plotly.express as px\n",
    "\n",
    "# Example: Assuming 'df' is the DataFrame after analysis and contains the 'buy_signal' and 'sell_signal' columns\n",
    "# and 'close' column to plot the price\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "c3931367-6cb3-43c6-a65f-57a713bbc511",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
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and Sell Signals\"},\"yaxis\":{\"title\":{\"text\":\"Price\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
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     },
     "metadata": {},
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   ],
   "source": [
    "def plot_signals(df):\n",
    "    # Create a candlestick chart\n",
    "    fig = go.Figure(data=[go.Candlestick(x=df.index,\n",
    "                                         open=df['open'],\n",
    "                                         high=df['high'],\n",
    "                                         low=df['low'],\n",
    "                                         close=df['close'])])\n",
    "\n",
    "    # Add Buy signals as green up arrows\n",
    "    buy_signals = df[df['buy_signal'] == 1]\n",
    "    fig.add_trace(go.Scatter(x=buy_signals.index,\n",
    "                             y=buy_signals['close'],\n",
    "                             mode='markers',\n",
    "                             marker=dict(symbol='triangle-up', color='green', size=10),\n",
    "                             name='Buy Signal'))\n",
    "\n",
    "    # Add Sell signals as red down arrows\n",
    "    sell_signals = df[df['sell_signal'] == 1]\n",
    "    fig.add_trace(go.Scatter(x=sell_signals.index,\n",
    "                             y=sell_signals['close'],\n",
    "                             mode='markers',\n",
    "                             marker=dict(symbol='triangle-down', color='red', size=10),\n",
    "                             name='Sell Signal'))\n",
    "\n",
    "    # Update layout for better visuals\n",
    "    fig.update_layout(title='Buy and Sell Signals',\n",
    "                      xaxis_title='Date',\n",
    "                      yaxis_title='Price',\n",
    "                      xaxis_rangeslider_visible=False)\n",
    "\n",
    "    # Show the plot\n",
    "    fig.show()\n",
    "\n",
    "# Assuming signal_df contains the 'buy_signal' and 'sell_signal' columns along with price data\n",
    "plot_signals(df)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "80903fc5-738c-4258-8fe4-b3c6ac1925fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_signal_list(df):\n",
    "    # Create an empty list to store the signals\n",
    "    signals = []\n",
    "    \n",
    "    # Iterate through the DataFrame and check for buy and sell signals\n",
    "    for index, row in df.iterrows():\n",
    "        if row['buy_signal'] == 1:\n",
    "            signals.append({'Date': index, 'Signal': 'Buy', 'Price': row['close']})\n",
    "        elif row['sell_signal'] == 1:\n",
    "            signals.append({'Date': index, 'Signal': 'Sell', 'Price': row['close']})\n",
    "    \n",
    "    return signals\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "b0ac3c11-8f1d-4a08-bc9f-8d35732abc7e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Date: 18192, Signal: Sell, Price: 16201.2\n",
      "Date: 18201, Signal: Buy, Price: 16147.9\n",
      "Date: 18205, Signal: Sell, Price: 15528.54\n",
      "Date: 18208, Signal: Buy, Price: 15790.34\n",
      "Date: 18219, Signal: Sell, Price: 16131.46\n",
      "Date: 18220, Signal: Buy, Price: 16406.03\n",
      "Date: 18222, Signal: Sell, Price: 16446.83\n",
      "Date: 18232, Signal: Buy, Price: 15904.25\n",
      "Date: 18233, Signal: Sell, Price: 15767.28\n",
      "Date: 18237, Signal: Buy, Price: 15603.28\n",
      "Date: 18248, Signal: Sell, Price: 15771.71\n",
      "Date: 18256, Signal: Buy, Price: 15893.53\n",
      "Date: 18258, Signal: Sell, Price: 15664.48\n",
      "Date: 18266, Signal: Buy, Price: 15386.58\n",
      "Date: 18268, Signal: Sell, Price: 15085.21\n",
      "Date: 18271, Signal: Buy, Price: 15229.77\n",
      "Date: 18278, Signal: Sell, Price: 15251.69043\n",
      "Date: 18289, Signal: Buy, Price: 14923.26953\n",
      "Date: 18302, Signal: Sell, Price: 15901.33008\n",
      "Date: 18313, Signal: Buy, Price: 16533.10938\n",
      "Date: 18314, Signal: Sell, Price: 16656.43945\n",
      "Date: 18317, Signal: Buy, Price: 16794.42969\n",
      "Date: 18319, Signal: Sell, Price: 16766.05078\n",
      "Date: 18334, Signal: Buy, Price: 16716.4707\n",
      "Date: 18339, Signal: Sell, Price: 16622.2207\n",
      "Date: 18340, Signal: Buy, Price: 16571.67969\n",
      "Date: 18341, Signal: Sell, Price: 16431.68945\n",
      "Date: 18344, Signal: Buy, Price: 16683.35938\n",
      "Date: 18352, Signal: Sell, Price: 16859.03906\n",
      "Date: 18363, Signal: Buy, Price: 17117.43945\n",
      "Date: 18365, Signal: Sell, Price: 17068.42969\n",
      "Date: 18366, Signal: Buy, Price: 17118.11914\n",
      "Date: 18374, Signal: Sell, Price: 17716.16992\n",
      "Date: 18378, Signal: Buy, Price: 17814.50977\n",
      "Date: 18379, Signal: Sell, Price: 17746.26953\n",
      "Date: 18387, Signal: Buy, Price: 18179.25\n",
      "Date: 18393, Signal: Sell, Price: 18283.13086\n",
      "Date: 18407, Signal: Buy, Price: 17860.80078\n",
      "Date: 18415, Signal: Sell, Price: 18001.59961\n",
      "Date: 18416, Signal: Buy, Price: 18175.21094\n",
      "Date: 18422, Signal: Sell, Price: 18716.41992\n",
      "Date: 18423, Signal: Buy, Price: 18869.35938\n",
      "Date: 18424, Signal: Sell, Price: 18738.81055\n",
      "Date: 18438, Signal: Buy, Price: 18575.93945\n",
      "Date: 18442, Signal: Sell, Price: 18369.93945\n",
      "Date: 18443, Signal: Buy, Price: 18630.85938\n",
      "Date: 18444, Signal: Sell, Price: 18265.67969\n",
      "Date: 18449, Signal: Buy, Price: 18254.17969\n",
      "Date: 18463, Signal: Sell, Price: 18236.18945\n",
      "Date: 18466, Signal: Buy, Price: 18748.17969\n",
      "Date: 18469, Signal: Sell, Price: 18437.30078\n",
      "Date: 18474, Signal: Buy, Price: 18387.46094\n",
      "Date: 18475, Signal: Sell, Price: 18298.7207\n",
      "Date: 18478, Signal: Buy, Price: 18411.17969\n",
      "Date: 18480, Signal: Sell, Price: 18083.05078\n",
      "Date: 18484, Signal: Buy, Price: 17615.15039\n"
     ]
    }
   ],
   "source": [
    "# Assuming df contains the 'buy_signal' and 'sell_signal' columns\n",
    "signal_list = get_signal_list(df)\n",
    "\n",
    "# Display the signal list\n",
    "for signal in signal_list:\n",
    "    print(f\"Date: {signal['Date']}, Signal: {signal['Signal']}, Price: {signal['Price']}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb0458cb-fc41-4c57-b2d9-b7d870463efd",
   "metadata": {},
   "source": [
    "## Backtest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f5620cc4-3d06-453d-beb4-d015bb95e0f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "initial_depot = 10000  # Initial depot in Euros\n",
    "depot = initial_depot  # Current depot value\n",
    "position_size_percentage = 0.03   # 3% of the depot for each trade\n",
    "stop_loss_points = 100  # Stop loss of 100 points\n",
    "dax_data = df['close']  # Assuming 'close' is the DAX price column\n",
    "\n",
    "# Generate the signal list as in the previous steps\n",
    "signal_list = get_signal_list(df)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "061a831e-ba43-48c6-bd4f-b5cb51e714e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime, timedelta\n",
    "\n",
    "# Assuming signal['Date'] is a string, convert it to datetime\n",
    "# If signal['Date'] is already a datetime object, you can skip this conversion\n",
    "for signal in signal_list:\n",
    "    signal_date = pd.to_datetime(signal['Date'])  # Ensure signal_date is a datetime object\n",
    "    signal_type = signal['Signal']\n",
    "    signal_price = signal['Price']\n",
    "    \n",
    "    if signal_type == 'Buy':\n",
    "        if current_position is None:  # Enter a new long position\n",
    "            position_size = depot * position_size_percentage\n",
    "            entry_price = signal_price\n",
    "            entry_date = signal_date\n",
    "            current_position = 'long'\n",
    "            results.append({\n",
    "                'Date': signal_date,\n",
    "                'Action': 'Buy',\n",
    "                'Entry Price': entry_price,\n",
    "                'Position Size': position_size,\n",
    "                'Depot': depot\n",
    "            })\n",
    "    \n",
    "    elif signal_type == 'Sell':\n",
    "        if current_position == 'long':  # Exit the long position\n",
    "            profit = (signal_price - entry_price) * (position_size / entry_price)\n",
    "            depot += profit\n",
    "            results.append({\n",
    "                'Date': signal_date,\n",
    "                'Action': 'Sell',\n",
    "                'Exit Price': signal_price,\n",
    "                'Profit': profit,\n",
    "                'Depot': depot\n",
    "            })\n",
    "            current_position = None\n",
    "    \n",
    "    # Implement stop loss logic\n",
    "    if current_position == 'long' and signal_price <= entry_price - stop_loss_points:\n",
    "        # Sell the position if stop loss is hit\n",
    "        loss = (entry_price - (entry_price - stop_loss_points)) * (position_size / entry_price)\n",
    "        depot -= loss\n",
    "        results.append({\n",
    "            'Date': signal_date,\n",
    "            'Action': 'Stop Loss Triggered',\n",
    "            'Exit Price': entry_price - stop_loss_points,\n",
    "            'Loss': loss,\n",
    "            'Depot': depot\n",
    "        })\n",
    "        current_position = None\n",
    "    \n",
    "    # Automatically close the position after 2 days\n",
    "    if current_position == 'long' and (signal_date - entry_date).days >= 2:\n",
    "        profit = (signal_price - entry_price) * (position_size / entry_price)\n",
    "        depot += profit\n",
    "        results.append({\n",
    "            'Date': signal_date,\n",
    "            'Action': 'Auto Close After 2 Days',\n",
    "            'Exit Price': signal_price,\n",
    "            'Profit': profit,\n",
    "            'Depot': depot\n",
    "        })\n",
    "        current_position = None\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc54c9b2-c8ad-4698-b3fc-d539ef847901",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Display the results\n",
    "for trade in results:\n",
    "    profit_loss = trade.get('Profit', trade.get('Loss', 'N/A'))\n",
    "    # Only format profit_loss if it's a number\n",
    "    if isinstance(profit_loss, (int, float)):\n",
    "        profit_loss = f\"{profit_loss:.2f}\"\n",
    "    \n",
    "    print(f\"Date: {trade['Date']}, Action: {trade['Action']}, \"\n",
    "          f\"Entry Price: {trade.get('Entry Price', 'N/A')}, \"\n",
    "          f\"Exit Price: {trade.get('Exit Price', 'N/A')}, \"\n",
    "          f\"Profit/Loss: {profit_loss}, \"\n",
    "          f\"Depot: {trade['Depot']:.2f}\")\n",
    "\n",
    "# Print the final depot value\n",
    "print(f\"\\nFinal Depot Value: {depot:.2f} Euros\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d0dba88-6dab-41a7-8911-2e711d4e6380",
   "metadata": {},
   "source": [
    "# Prophet training w train test split\n",
    "\n",
    "This may indicate problems. The actual way isn't god."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "id": "f1b49cf8-f6f2-4dff-89e5-ff80664bcf3a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "index                0\n",
      "REXPDE~TUSD          0\n",
      "CPIDE~TUSD           0\n",
      "open                 0\n",
      "high                 0\n",
      "low                  0\n",
      "close                0\n",
      "volume               0\n",
      "vwap                 0\n",
      "adj_close            0\n",
      "unadjusted_volume    0\n",
      "change               0\n",
      "change_percent       0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "c_df = combined_df.copy()\n",
    "c_df = c_df.tail(10 * 365)\n",
    "nan_counts = c_df.isna().sum()\n",
    "print(nan_counts)\n",
    "\n",
    "# Assuming your dataframe is named combined_df\n",
    "df = c_df.copy()\n",
    "df['date'] = pd.to_datetime(df['index'])\n",
    "# Set 'date' as the index\n",
    "df.set_index('date', inplace=True)\n",
    "\n",
    "# Remove the original 'index' column\n",
    "df = df.drop('index', axis=1)\n",
    "\n",
    "# Remove rows with NaN values\n",
    "df = df.dropna()\n",
    "\n",
    "df['ds'] = df.index\n",
    "df['y'] = df[\"close\"]\n",
    "df = df.drop(columns=['close'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "id": "8759d7c7-6f0c-4812-bb11-9b9f86e3cf19",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>REXPDE~TUSD</th>\n",
       "      <th>CPIDE~TUSD</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>volume</th>\n",
       "      <th>vwap</th>\n",
       "      <th>adj_close</th>\n",
       "      <th>unadjusted_volume</th>\n",
       "      <th>change</th>\n",
       "      <th>change_percent</th>\n",
       "      <th>ds</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-08-13</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>17799.66016</td>\n",
       "      <td>17817.07031</td>\n",
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       "      <td>17812.05078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-14</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>17882.17969</td>\n",
       "      <td>17921.99023</td>\n",
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       "      <td>0.000191</td>\n",
       "      <td>2024-08-14</td>\n",
       "      <td>17885.59961</td>\n",
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       "    <tr>\n",
       "      <th>2024-08-15</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
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       "      <td>18198.08984</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>18067.22</td>\n",
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       "      <td>2024-08-15</td>\n",
       "      <td>18183.24023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-16</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18236.01953</td>\n",
       "      <td>18344.22070</td>\n",
       "      <td>18226.59961</td>\n",
       "      <td>63794900.0</td>\n",
       "      <td>18282.31</td>\n",
       "      <td>18322.40039</td>\n",
       "      <td>63794900.0</td>\n",
       "      <td>86.38086</td>\n",
       "      <td>0.004737</td>\n",
       "      <td>2024-08-16</td>\n",
       "      <td>18322.40039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-19</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18312.50977</td>\n",
       "      <td>18454.93945</td>\n",
       "      <td>18284.85938</td>\n",
       "      <td>43769700.0</td>\n",
       "      <td>18368.50</td>\n",
       "      <td>18421.68945</td>\n",
       "      <td>43769700.0</td>\n",
       "      <td>109.17968</td>\n",
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       "      <td>18421.68945</td>\n",
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       "    <tr>\n",
       "      <th>2024-08-20</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18473.23047</td>\n",
       "      <td>18495.27930</td>\n",
       "      <td>18349.98047</td>\n",
       "      <td>42912000.0</td>\n",
       "      <td>18419.00</td>\n",
       "      <td>18357.51953</td>\n",
       "      <td>42912000.0</td>\n",
       "      <td>-115.71094</td>\n",
       "      <td>-0.006264</td>\n",
       "      <td>2024-08-20</td>\n",
       "      <td>18357.51953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-21</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18358.78906</td>\n",
       "      <td>18476.63086</td>\n",
       "      <td>18352.18945</td>\n",
       "      <td>36068100.0</td>\n",
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       "      <td>2024-08-21</td>\n",
       "      <td>18448.94922</td>\n",
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       "    <tr>\n",
       "      <th>2024-08-22</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18459.27930</td>\n",
       "      <td>18551.39063</td>\n",
       "      <td>18458.60938</td>\n",
       "      <td>40950900.0</td>\n",
       "      <td>18490.67</td>\n",
       "      <td>18493.39063</td>\n",
       "      <td>40950900.0</td>\n",
       "      <td>34.11133</td>\n",
       "      <td>0.001848</td>\n",
       "      <td>2024-08-22</td>\n",
       "      <td>18493.39063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-23</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18538.86914</td>\n",
       "      <td>18670.44922</td>\n",
       "      <td>18519.28906</td>\n",
       "      <td>41122500.0</td>\n",
       "      <td>18590.43</td>\n",
       "      <td>18633.09961</td>\n",
       "      <td>41122500.0</td>\n",
       "      <td>94.23047</td>\n",
       "      <td>0.005083</td>\n",
       "      <td>2024-08-23</td>\n",
       "      <td>18633.09961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-26</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>18589.90000</td>\n",
       "      <td>18606.84000</td>\n",
       "      <td>18554.51000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18585.23</td>\n",
       "      <td>18594.33000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.43000</td>\n",
       "      <td>0.000238</td>\n",
       "      <td>2024-08-26</td>\n",
       "      <td>18594.33000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            REXPDE~TUSD  CPIDE~TUSD         open         high          low  \\\n",
       "date                                                                         \n",
       "2024-08-13     441754.0      130.25  17799.66016  17817.07031  17669.64063   \n",
       "2024-08-14     441754.0      130.25  17882.17969  17921.99023  17827.08008   \n",
       "2024-08-15     441754.0      130.25  17977.81055  18198.08984  17909.74023   \n",
       "2024-08-16     441754.0      130.25  18236.01953  18344.22070  18226.59961   \n",
       "2024-08-19     441754.0      130.25  18312.50977  18454.93945  18284.85938   \n",
       "2024-08-20     441754.0      130.25  18473.23047  18495.27930  18349.98047   \n",
       "2024-08-21     441754.0      130.25  18358.78906  18476.63086  18352.18945   \n",
       "2024-08-22     441754.0      130.25  18459.27930  18551.39063  18458.60938   \n",
       "2024-08-23     441754.0      130.25  18538.86914  18670.44922  18519.28906   \n",
       "2024-08-26     441754.0      130.25  18589.90000  18606.84000  18554.51000   \n",
       "\n",
       "                volume      vwap    adj_close  unadjusted_volume     change  \\\n",
       "date                                                                          \n",
       "2024-08-13         0.0  17774.61  17812.05078                0.0   12.39062   \n",
       "2024-08-14         0.0  17879.21  17885.59961                0.0    3.41992   \n",
       "2024-08-15         0.0  18067.22  18183.24023                0.0  205.42968   \n",
       "2024-08-16  63794900.0  18282.31  18322.40039         63794900.0   86.38086   \n",
       "2024-08-19  43769700.0  18368.50  18421.68945         43769700.0  109.17968   \n",
       "2024-08-20  42912000.0  18419.00  18357.51953         42912000.0 -115.71094   \n",
       "2024-08-21  36068100.0  18409.14  18448.94922         36068100.0   90.16016   \n",
       "2024-08-22  40950900.0  18490.67  18493.39063         40950900.0   34.11133   \n",
       "2024-08-23  41122500.0  18590.43  18633.09961         41122500.0   94.23047   \n",
       "2024-08-26         0.0  18585.23  18594.33000                0.0    4.43000   \n",
       "\n",
       "            change_percent         ds            y  \n",
       "date                                                \n",
       "2024-08-13        0.000696 2024-08-13  17812.05078  \n",
       "2024-08-14        0.000191 2024-08-14  17885.59961  \n",
       "2024-08-15        0.011400 2024-08-15  18183.24023  \n",
       "2024-08-16        0.004737 2024-08-16  18322.40039  \n",
       "2024-08-19        0.005962 2024-08-19  18421.68945  \n",
       "2024-08-20       -0.006264 2024-08-20  18357.51953  \n",
       "2024-08-21        0.004911 2024-08-21  18448.94922  \n",
       "2024-08-22        0.001848 2024-08-22  18493.39063  \n",
       "2024-08-23        0.005083 2024-08-23  18633.09961  \n",
       "2024-08-26        0.000238 2024-08-26  18594.33000  "
      ]
     },
     "execution_count": 252,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "id": "73b1ca0b-b712-4ea8-911f-f5ed4a76de74",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>REXPDE~TUSD</th>\n",
       "      <th>CPIDE~TUSD</th>\n",
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       "      <th>2010-04-14</th>\n",
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       "      <th>2010-04-15</th>\n",
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       "      <th>2010-04-16</th>\n",
       "      <td>441754.0</td>\n",
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       "      <td>2010-04-16</td>\n",
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       "    <tr>\n",
       "      <th>2010-04-19</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>6158.600098</td>\n",
       "      <td>6190.859863</td>\n",
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       "      <td>133583500.0</td>\n",
       "      <td>6164.55990</td>\n",
       "      <td>6162.439941</td>\n",
       "      <td>133583500.0</td>\n",
       "      <td>3.83984</td>\n",
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       "      <td>2010-04-19</td>\n",
       "      <td>6162.439941</td>\n",
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       "    <tr>\n",
       "      <th>2010-04-20</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>6193.500000</td>\n",
       "      <td>6267.540039</td>\n",
       "      <td>6172.569824</td>\n",
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       "      <td>2010-04-20</td>\n",
       "      <td>6264.229981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-04-21</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>6280.540039</td>\n",
       "      <td>6281.379883</td>\n",
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       "      <td>-50.16016</td>\n",
       "      <td>-0.00799</td>\n",
       "      <td>2010-04-21</td>\n",
       "      <td>6230.379883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-04-22</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>6229.229981</td>\n",
       "      <td>6286.359863</td>\n",
       "      <td>6141.069824</td>\n",
       "      <td>174052000.0</td>\n",
       "      <td>6198.71663</td>\n",
       "      <td>6168.720215</td>\n",
       "      <td>174052000.0</td>\n",
       "      <td>-60.50977</td>\n",
       "      <td>-0.00971</td>\n",
       "      <td>2010-04-22</td>\n",
       "      <td>6168.720215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-04-23</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>6192.620117</td>\n",
       "      <td>6287.540039</td>\n",
       "      <td>6170.390137</td>\n",
       "      <td>124506000.0</td>\n",
       "      <td>6239.15332</td>\n",
       "      <td>6259.529785</td>\n",
       "      <td>124506000.0</td>\n",
       "      <td>66.90967</td>\n",
       "      <td>0.01080</td>\n",
       "      <td>2010-04-23</td>\n",
       "      <td>6259.529785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-04-26</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>6317.129883</td>\n",
       "      <td>6341.520019</td>\n",
       "      <td>6299.580078</td>\n",
       "      <td>115432400.0</td>\n",
       "      <td>6324.40007</td>\n",
       "      <td>6332.100098</td>\n",
       "      <td>115432400.0</td>\n",
       "      <td>14.97021</td>\n",
       "      <td>0.00237</td>\n",
       "      <td>2010-04-26</td>\n",
       "      <td>6332.100098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-04-27</th>\n",
       "      <td>441754.0</td>\n",
       "      <td>130.25</td>\n",
       "      <td>6332.399902</td>\n",
       "      <td>6333.000000</td>\n",
       "      <td>6159.509766</td>\n",
       "      <td>159970800.0</td>\n",
       "      <td>6217.33984</td>\n",
       "      <td>6159.509766</td>\n",
       "      <td>159970800.0</td>\n",
       "      <td>-172.89014</td>\n",
       "      <td>-0.02730</td>\n",
       "      <td>2010-04-27</td>\n",
       "      <td>6159.509766</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            REXPDE~TUSD  CPIDE~TUSD         open         high          low  \\\n",
       "date                                                                         \n",
       "2010-04-14     441754.0      130.25  6269.479981  6305.149902  6249.919922   \n",
       "2010-04-15     441754.0      130.25  6286.629883  6310.759766  6249.740234   \n",
       "2010-04-16     441754.0      130.25  6264.649902  6305.399902  6162.839844   \n",
       "2010-04-19     441754.0      130.25  6158.600098  6190.859863  6140.379883   \n",
       "2010-04-20     441754.0      130.25  6193.500000  6267.540039  6172.569824   \n",
       "2010-04-21     441754.0      130.25  6280.540039  6281.379883  6229.180176   \n",
       "2010-04-22     441754.0      130.25  6229.229981  6286.359863  6141.069824   \n",
       "2010-04-23     441754.0      130.25  6192.620117  6287.540039  6170.390137   \n",
       "2010-04-26     441754.0      130.25  6317.129883  6341.520019  6299.580078   \n",
       "2010-04-27     441754.0      130.25  6332.399902  6333.000000  6159.509766   \n",
       "\n",
       "                 volume        vwap    adj_close  unadjusted_volume  \\\n",
       "date                                                                  \n",
       "2010-04-14  119609300.0  6277.82324  6278.399902        119609300.0   \n",
       "2010-04-15  108953700.0  6283.98340  6291.450195        108953700.0   \n",
       "2010-04-16  195883500.0  6216.37988  6180.899902        195883500.0   \n",
       "2010-04-19  133583500.0  6164.55990  6162.439941        133583500.0   \n",
       "2010-04-20  133489200.0  6234.77995  6264.229981        133489200.0   \n",
       "2010-04-21  149364800.0  6246.97998  6230.379883        149364800.0   \n",
       "2010-04-22  174052000.0  6198.71663  6168.720215        174052000.0   \n",
       "2010-04-23  124506000.0  6239.15332  6259.529785        124506000.0   \n",
       "2010-04-26  115432400.0  6324.40007  6332.100098        115432400.0   \n",
       "2010-04-27  159970800.0  6217.33984  6159.509766        159970800.0   \n",
       "\n",
       "               change  change_percent         ds            y  \n",
       "date                                                           \n",
       "2010-04-14    8.91992         0.00142 2010-04-14  6278.399902  \n",
       "2010-04-15    4.82031         0.00077 2010-04-15  6291.450195  \n",
       "2010-04-16  -83.75000        -0.01337 2010-04-16  6180.899902  \n",
       "2010-04-19    3.83984         0.00062 2010-04-19  6162.439941  \n",
       "2010-04-20   70.72998         0.01142 2010-04-20  6264.229981  \n",
       "2010-04-21  -50.16016        -0.00799 2010-04-21  6230.379883  \n",
       "2010-04-22  -60.50977        -0.00971 2010-04-22  6168.720215  \n",
       "2010-04-23   66.90967         0.01080 2010-04-23  6259.529785  \n",
       "2010-04-26   14.97021         0.00237 2010-04-26  6332.100098  \n",
       "2010-04-27 -172.89014        -0.02730 2010-04-27  6159.509766  "
      ]
     },
     "execution_count": 253,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "id": "7aee3a1c-614b-45e6-b988-1b4e80c3c73e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original data length: 3650 rows\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "\n",
    "print(f\"Original data length: {len(df)} rows\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "id": "b253dd15-99fd-4050-ae77-a796c981d34a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Apply forward filling to propagate the last known value forward\n",
    "df = df.ffill()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "id": "1d3d5801-f802-4bcb-8935-f8c8a549d86a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3650"
      ]
     },
     "execution_count": 256,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)\n",
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "id": "48797f22-96bb-4299-ba90-9b276b28ae27",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train set: 2555 rows\n",
      "Test set: 730 rows\n",
      "Validation set: 365 rows\n"
     ]
    }
   ],
   "source": [
    "# Determine the split index\n",
    "train_size = int(0.7 * len(df))\n",
    "test_size = int(0.2 * len(df))\n",
    "val_size = len(df) - train_size - test_size\n",
    "\n",
    "# Split the data\n",
    "train_df = df.iloc[:train_size]\n",
    "test_df = df.iloc[train_size:train_size + test_size]\n",
    "val_df = df.iloc[train_size + test_size:]\n",
    "\n",
    "print(f\"Train set: {len(train_df)} rows\")\n",
    "print(f\"Test set: {len(test_df)} rows\")\n",
    "print(f\"Validation set: {len(val_df)} rows\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "id": "154f70d3-0127-4383-8f95-cb0e1ffa1724",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "12:25:05 - cmdstanpy - INFO - Chain [1] start processing\n",
      "12:25:06 - cmdstanpy - INFO - Chain [1] done processing\n",
      "12:25:06 - cmdstanpy - ERROR - Chain [1] error: error during processing Operation not permitted\n",
      "12:25:06 - cmdstanpy - INFO - Chain [1] start processing\n",
      "12:35:20 - cmdstanpy - INFO - Chain [1] done processing\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model saved as 'prophet_model.pkl'\n"
     ]
    }
   ],
   "source": [
    "import pickle\n",
    "\n",
    "# After training the model\n",
    "model = train_prophet_model(train_df, regressors)\n",
    "\n",
    "# Save the model to a file\n",
    "with open('prophet_model_proper.pkl', 'wb') as file:\n",
    "    pickle.dump(model, file)\n",
    "\n",
    "print(\"Model saved as 'prophet_model.pkl'\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "id": "6edc67b1-76af-40f4-beb1-e4b7ba58f6ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            REXPDE~TUSD  CPIDE~TUSD         open         high          low  \\\n",
      "date                                                                         \n",
      "2024-08-20     441754.0      130.25  18473.23047  18495.27930  18349.98047   \n",
      "2024-08-21     441754.0      130.25  18358.78906  18476.63086  18352.18945   \n",
      "2024-08-22     441754.0      130.25  18459.27930  18551.39063  18458.60938   \n",
      "2024-08-23     441754.0      130.25  18538.86914  18670.44922  18519.28906   \n",
      "2024-08-26     441754.0      130.25  18589.90000  18606.84000  18554.51000   \n",
      "\n",
      "                volume      vwap    adj_close  unadjusted_volume     change  \\\n",
      "date                                                                          \n",
      "2024-08-20  42912000.0  18419.00  18357.51953         42912000.0 -115.71094   \n",
      "2024-08-21  36068100.0  18409.14  18448.94922         36068100.0   90.16016   \n",
      "2024-08-22  40950900.0  18490.67  18493.39063         40950900.0   34.11133   \n",
      "2024-08-23  41122500.0  18590.43  18633.09961         41122500.0   94.23047   \n",
      "2024-08-26         0.0  18585.23  18594.33000                0.0    4.43000   \n",
      "\n",
      "            change_percent         ds            y  \n",
      "date                                                \n",
      "2024-08-20       -0.006264 2024-08-20  18357.51953  \n",
      "2024-08-21        0.004911 2024-08-21  18448.94922  \n",
      "2024-08-22        0.001848 2024-08-22  18493.39063  \n",
      "2024-08-23        0.005083 2024-08-23  18633.09961  \n",
      "2024-08-26        0.000238 2024-08-26  18594.33000  \n"
     ]
    }
   ],
   "source": [
    "# Assuming df is your full dataset before splitting\n",
    "# Determine the validation set size (e.g., 20% of the data)\n",
    "\n",
    "val_size = int(0.2 * len(df))  # Adjust this percentage as needed\n",
    "\n",
    "# Create the validation set from the last val_size rows\n",
    "val_df = df[-val_size:]\n",
    "\n",
    "# Ensure the validation dataset is correctly formatted\n",
    "print(val_df.tail())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "id": "79f69ca6-852b-485b-ab2b-f5435da8aaa8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            REXPDE~TUSD  CPIDE~TUSD         open         high          low  \\\n",
      "date                                                                         \n",
      "2024-08-20     441754.0      130.25  18473.23047  18495.27930  18349.98047   \n",
      "2024-08-21     441754.0      130.25  18358.78906  18476.63086  18352.18945   \n",
      "2024-08-22     441754.0      130.25  18459.27930  18551.39063  18458.60938   \n",
      "2024-08-23     441754.0      130.25  18538.86914  18670.44922  18519.28906   \n",
      "2024-08-26     441754.0      130.25  18589.90000  18606.84000  18554.51000   \n",
      "\n",
      "                volume      vwap    adj_close  unadjusted_volume     change  \\\n",
      "date                                                                          \n",
      "2024-08-20  42912000.0  18419.00  18357.51953         42912000.0 -115.71094   \n",
      "2024-08-21  36068100.0  18409.14  18448.94922         36068100.0   90.16016   \n",
      "2024-08-22  40950900.0  18490.67  18493.39063         40950900.0   34.11133   \n",
      "2024-08-23  41122500.0  18590.43  18633.09961         41122500.0   94.23047   \n",
      "2024-08-26         0.0  18585.23  18594.33000                0.0    4.43000   \n",
      "\n",
      "            change_percent         ds            y  \n",
      "date                                                \n",
      "2024-08-20       -0.006264 2024-08-20  18357.51953  \n",
      "2024-08-21        0.004911 2024-08-21  18448.94922  \n",
      "2024-08-22        0.001848 2024-08-22  18493.39063  \n",
      "2024-08-23        0.005083 2024-08-23  18633.09961  \n",
      "2024-08-26        0.000238 2024-08-26  18594.33000  \n"
     ]
    }
   ],
   "source": [
    "# Ensure the 'ds' column is in datetime format (required for Prophet)\n",
    "val_df.loc[:, 'ds'] = pd.to_datetime(val_df['ds'])\n",
    "\n",
    "# Check the structure and the last few rows of the validation dataset\n",
    "print(val_df.tail())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "id": "0351f791-bc25-4632-866b-0c1acd895443",
   "metadata": {},
   "outputs": [],
   "source": [
    "# List the columns that should be in val_df (add or remove based on your model)\n",
    "required_columns = ['ds', 'y', 'open', 'high', 'low', 'volume', 'vwap', 'adj_close', 'unadjusted_volume', 'change', 'change_percent','REXPDE~TUSD', 'CPIDE~TUSD']\n",
    "\n",
    "# Check if all required columns are present in val_df\n",
    "for col in required_columns:\n",
    "    if col not in val_df.columns:\n",
    "        print(f\"Missing column in validation data: {col}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "id": "4c94275d-a9d9-4646-9b37-03112ed606e8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "REXPDE~TUSD          0\n",
      "CPIDE~TUSD           0\n",
      "open                 0\n",
      "high                 0\n",
      "low                  0\n",
      "volume               0\n",
      "vwap                 0\n",
      "adj_close            0\n",
      "unadjusted_volume    0\n",
      "change               0\n",
      "change_percent       0\n",
      "ds                   0\n",
      "y                    0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Forward fill missing values in val_df\n",
    "val_df = val_df.ffill().bfill()\n",
    "\n",
    "# Check for any remaining NaNs\n",
    "print(val_df.isnull().sum())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "id": "81f11aa9-594b-44da-8ec8-01ac77b92417",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          ds          yhat\n",
      "0 2021-10-21  15472.223445\n",
      "1 2021-10-22  15542.644191\n",
      "2 2021-10-25  15598.894069\n",
      "3 2021-10-26  15756.722828\n",
      "4 2021-10-27  15705.472939\n"
     ]
    }
   ],
   "source": [
    "small_val_df = val_df.head(10)\n",
    "small_forecast = model.predict(small_val_df)\n",
    "print(small_forecast[['ds', 'yhat']].head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "id": "7fbe9d07-2cac-473e-bfe8-e4c42d5966f3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of val_df: (730, 13)\n",
      "Shape of val_forecast: (730, 55)\n",
      "Shape of val_forecast_trimmed: (730, 55)\n",
      "Shape of merged results: (730, 3)\n",
      "\n",
      "First few rows of merged results:\n",
      "          ds             y          yhat\n",
      "0 2021-10-21  15472.559570  15472.223445\n",
      "1 2021-10-22  15542.980469  15542.644191\n",
      "2 2021-10-25  15599.230469  15598.894069\n",
      "3 2021-10-26  15757.059570  15756.722828\n",
      "4 2021-10-27  15705.809570  15705.472939\n",
      "\n",
      "Last few rows of merged results:\n",
      "            ds            y          yhat\n",
      "725 2024-08-20  18357.51953  18357.177153\n",
      "726 2024-08-21  18448.94922  18448.606645\n",
      "727 2024-08-22  18493.39063  18493.047959\n",
      "728 2024-08-23  18633.09961  18632.756636\n",
      "729 2024-08-26  18594.33000  18593.987110\n",
      "\n",
      "NaN values in merged results:\n",
      "ds      0\n",
      "y       0\n",
      "yhat    0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Create copies of the dataframes to avoid SettingWithCopyWarning\n",
    "val_df = val_df.copy()\n",
    "val_forecast = model.predict(val_df)\n",
    "\n",
    "# Convert 'ds' to datetime if it's not already\n",
    "val_df.loc[:, 'ds'] = pd.to_datetime(val_df['ds'])\n",
    "val_forecast.loc[:, 'ds'] = pd.to_datetime(val_forecast['ds'])\n",
    "\n",
    "# Trim val_forecast to match val_df date range\n",
    "val_forecast_trimmed = val_forecast[\n",
    "    (val_forecast['ds'] >= val_df['ds'].min()) &\n",
    "    (val_forecast['ds'] <= val_df['ds'].max())\n",
    "].copy()\n",
    "\n",
    "# Merge the trimmed forecast with the validation data\n",
    "results = pd.merge(val_df[['ds', 'y']], val_forecast_trimmed[['ds', 'yhat']], on='ds', how='inner')\n",
    "\n",
    "print(\"Shape of val_df:\", val_df.shape)\n",
    "print(\"Shape of val_forecast:\", val_forecast.shape)\n",
    "print(\"Shape of val_forecast_trimmed:\", val_forecast_trimmed.shape)\n",
    "print(\"Shape of merged results:\", results.shape)\n",
    "print(\"\\nFirst few rows of merged results:\")\n",
    "print(results.head())\n",
    "print(\"\\nLast few rows of merged results:\")\n",
    "print(results.tail())\n",
    "print(\"\\nNaN values in merged results:\")\n",
    "print(results.isna().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "id": "063374cc-72f0-4db6-bddd-f923875a4be7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Squared Error (MSE): 5068365.977181317\n",
      "Root Mean Squared Error (RMSE): 2251.3031730936013\n",
      "Mean Absolute Error (MAE): 121.45683539869584\n",
      "R-squared (R2) Score: -0.8164806580679134\n",
      "Mean Absolute Percentage Error (MAPE): 0.6609960933134663%\n"
     ]
    }
   ],
   "source": [
    "mse = mean_squared_error(results['y'], results['yhat'])\n",
    "rmse = np.sqrt(mse)\n",
    "mae = mean_absolute_error(results['y'], results['yhat'])\n",
    "r2 = r2_score(results['y'], results['yhat'])\n",
    "\n",
    "print(f\"Mean Squared Error (MSE): {mse}\")\n",
    "print(f\"Root Mean Squared Error (RMSE): {rmse}\")\n",
    "print(f\"Mean Absolute Error (MAE): {mae}\")\n",
    "print(f\"R-squared (R2) Score: {r2}\")\n",
    "\n",
    "# Calculate MAPE (Mean Absolute Percentage Error)\n",
    "mape = np.mean(np.abs((results['y'] - results['yhat']) / results['y'])) * 100\n",
    "print(f\"Mean Absolute Percentage Error (MAPE): {mape}%\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f436b789-696a-493b-8e32-e8afd9d2e0c2",
   "metadata": {},
   "source": [
    "# Model docu "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c7b3b200-7cfc-4185-98fd-fbcd2bb85351",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(type(model))\n",
    "print(model.params)\n",
    "print(val_df.dtypes)\n",
    "print(val_df.head())\n",
    "single_row = val_df.iloc[[0]]\n",
    "single_prediction = model.predict(single_row)\n",
    "print(single_prediction)"
   ]
  }
 ],
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