Preparing Distribution of Returns SpreadSheet analysis w Excel and Python

Yahoo_Finance_DL_COPPER_EXCEL.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "initial_id",
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "%pip install \"yfinance[optional]\"==\"0.2.37\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "904104edfdda9e89",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-03-15T12:53:50.140736Z",
+     "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": {
+     "end_time": "2024-03-15T12:59:52.590852Z",
+     "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": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}