{
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   "execution_count": null,
   "id": "initial_id",
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   "source": [
    "%pip install \"yfinance[optional]\"==\"0.2.37\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "904104edfdda9e89",
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     "start_time": "2024-03-15T12:53:49.262218Z"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import yfinance as yf\n",
    "\n",
    "hg_f = yf.Ticker(\"HG=F\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f8531df814e529fb",
   "metadata": {
    "ExecuteTime": {
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     "start_time": "2024-03-15T12:59:52.243074Z"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# get historical market data\n",
    "hist = hg_f.history(period=\"100y\")\n",
    "\n",
    "# Replace 0 values with NaN in specific columns\n",
    "hist.replace({'Volume': {0: pd.NA}, 'Open': {0: pd.NA}}, inplace=True)\n",
    "hist.replace(0, np.nan, inplace=True)  # Replace 0 with NaN\n",
    "\n",
    "columns = ['Open', 'High', 'Low', 'Close', 'Volume']\n",
    "\n",
    "hist.to_csv(f'./Data_COPPER.csv')"
   ]
  },
  {
   "cell_type": "code",
   "id": "de2634931db1a5d6",
   "metadata": {
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   "outputs": [],
   "source": []
  }
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