diff --git "a/notebooks/scratchpad.ipynb" "b/notebooks/scratchpad.ipynb"
--- "a/notebooks/scratchpad.ipynb"
+++ "b/notebooks/scratchpad.ipynb"
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -18,35 +18,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "[*********************100%***********************]  1 of 1 completed\n"
+      "[*********************100%***********************]  1 of 1 completed\n",
+      "\n",
+      "1 Failed download:\n",
+      "['META']: YFRateLimitError('Too Many Requests. Rate limited. Try after a while.')\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "Date\n",
-       "2012-05-18     38.050667\n",
-       "2012-05-21     33.870369\n",
-       "2012-05-22     30.854580\n",
-       "2012-05-23     31.849892\n",
-       "2012-05-24     32.875061\n",
-       "                 ...    \n",
-       "2020-01-03    207.691162\n",
-       "2020-01-06    211.602722\n",
-       "2020-01-07    212.060562\n",
-       "2020-01-08    214.210419\n",
-       "2020-01-09    217.275986\n",
-       "Name: META, Length: 1923, dtype: float64"
+       "Series([], Name: META, dtype: float64)"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -62,16 +53,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(1923,)"
+       "(0,)"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -89,35 +80,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "[*********************100%***********************]  1 of 1 completed\n"
+      "[*********************100%***********************]  1 of 1 completed\n",
+      "\n",
+      "1 Failed download:\n",
+      "['GC=F']: YFRateLimitError('Too Many Requests. Rate limited. Try after a while.')\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "Date\n",
-       "2010-01-04    1117.699951\n",
-       "2010-01-05    1118.099976\n",
-       "2010-01-06    1135.900024\n",
-       "2010-01-07    1133.099976\n",
-       "2010-01-08    1138.199951\n",
-       "                 ...     \n",
-       "2020-01-03    1549.199951\n",
-       "2020-01-06    1566.199951\n",
-       "2020-01-07    1571.800049\n",
-       "2020-01-08    1557.400024\n",
-       "2020-01-09    1551.699951\n",
-       "Name: GC=F, Length: 2519, dtype: float64"
+       "Series([], Name: GC=F, dtype: float64)"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -128,10 +110,141 @@
     "data[\"Close\"][ticker]"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "YFRateLimitError",
+     "evalue": "Too Many Requests. Rate limited. Try after a while.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mYFRateLimitError\u001b[39m                          Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[5]\u001b[39m\u001b[32m, line 5\u001b[39m\n\u001b[32m      2\u001b[39m gold = yf.Ticker(\u001b[33m\"\u001b[39m\u001b[33mGC=F\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m      4\u001b[39m \u001b[38;5;66;03m# Get historical data (e.g., for the last month)\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m5\u001b[39m gold_data = \u001b[43mgold\u001b[49m\u001b[43m.\u001b[49m\u001b[43mhistory\u001b[49m\u001b[43m(\u001b[49m\u001b[43mperiod\u001b[49m\u001b[43m=\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43m1000mo\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m      7\u001b[39m \u001b[38;5;66;03m# Print the data\u001b[39;00m\n\u001b[32m      8\u001b[39m (gold_data.head())\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/miniconda3/envs/return-on-investment/lib/python3.12/site-packages/yfinance/utils.py:103\u001b[39m, in \u001b[36mlog_indent_decorator.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m    100\u001b[39m logger.debug(\u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33mEntering \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc.\u001b[34m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m()\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m    102\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m IndentationContext():\n\u001b[32m--> \u001b[39m\u001b[32m103\u001b[39m     result = \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    105\u001b[39m logger.debug(\u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33mExiting \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc.\u001b[34m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m()\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m    106\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/miniconda3/envs/return-on-investment/lib/python3.12/site-packages/yfinance/base.py:91\u001b[39m, in \u001b[36mTickerBase.history\u001b[39m\u001b[34m(self, *args, **kwargs)\u001b[39m\n\u001b[32m     89\u001b[39m \u001b[38;5;129m@utils\u001b[39m.log_indent_decorator\n\u001b[32m     90\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mhistory\u001b[39m(\u001b[38;5;28mself\u001b[39m, *args, **kwargs) -> pd.DataFrame:\n\u001b[32m---> \u001b[39m\u001b[32m91\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_lazy_load_price_history\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m.\u001b[49m\u001b[43mhistory\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/miniconda3/envs/return-on-investment/lib/python3.12/site-packages/yfinance/utils.py:103\u001b[39m, in \u001b[36mlog_indent_decorator.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m    100\u001b[39m logger.debug(\u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33mEntering \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc.\u001b[34m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m()\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m    102\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m IndentationContext():\n\u001b[32m--> \u001b[39m\u001b[32m103\u001b[39m     result = \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    105\u001b[39m logger.debug(\u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33mExiting \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc.\u001b[34m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m()\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m    106\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/miniconda3/envs/return-on-investment/lib/python3.12/site-packages/yfinance/scrapers/history.py:178\u001b[39m, in \u001b[36mPriceHistory.history\u001b[39m\u001b[34m(self, period, interval, start, end, prepost, actions, auto_adjust, back_adjust, repair, keepna, proxy, rounding, timeout, raise_errors)\u001b[39m\n\u001b[32m    176\u001b[39m         get_fn = \u001b[38;5;28mself\u001b[39m._data.cache_get\n\u001b[32m    177\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m178\u001b[39m     data = \u001b[43mget_fn\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    179\u001b[39m \u001b[43m        \u001b[49m\u001b[43murl\u001b[49m\u001b[43m=\u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    180\u001b[39m \u001b[43m        \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    181\u001b[39m \u001b[43m        \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\n\u001b[32m    182\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    183\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[33m\"\u001b[39m\u001b[33mWill be right back\u001b[39m\u001b[33m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m data.text \u001b[38;5;129;01mor\u001b[39;00m data \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m    184\u001b[39m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[33m\"\u001b[39m\u001b[33m*** YAHOO! FINANCE IS CURRENTLY DOWN! ***\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m    185\u001b[39m                            \u001b[33m\"\u001b[39m\u001b[33mOur engineers are working quickly to resolve \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m    186\u001b[39m                            \u001b[33m\"\u001b[39m\u001b[33mthe issue. Thank you for your patience.\u001b[39m\u001b[33m\"\u001b[39m)\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/miniconda3/envs/return-on-investment/lib/python3.12/site-packages/yfinance/utils.py:103\u001b[39m, in \u001b[36mlog_indent_decorator.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m    100\u001b[39m logger.debug(\u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33mEntering \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc.\u001b[34m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m()\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m    102\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m IndentationContext():\n\u001b[32m--> \u001b[39m\u001b[32m103\u001b[39m     result = \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    105\u001b[39m logger.debug(\u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33mExiting \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc.\u001b[34m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m()\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m    106\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/miniconda3/envs/return-on-investment/lib/python3.12/site-packages/yfinance/data.py:364\u001b[39m, in \u001b[36mYfData.get\u001b[39m\u001b[34m(self, url, user_agent_headers, params, timeout)\u001b[39m\n\u001b[32m    362\u001b[39m \u001b[38;5;129m@utils\u001b[39m.log_indent_decorator\n\u001b[32m    363\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mget\u001b[39m(\u001b[38;5;28mself\u001b[39m, url, user_agent_headers=\u001b[38;5;28;01mNone\u001b[39;00m, params=\u001b[38;5;28;01mNone\u001b[39;00m, timeout=\u001b[32m30\u001b[39m):\n\u001b[32m--> \u001b[39m\u001b[32m364\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_make_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrequest_method\u001b[49m\u001b[43m \u001b[49m\u001b[43m=\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_session\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muser_agent_headers\u001b[49m\u001b[43m=\u001b[49m\u001b[43muser_agent_headers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/miniconda3/envs/return-on-investment/lib/python3.12/site-packages/yfinance/utils.py:103\u001b[39m, in \u001b[36mlog_indent_decorator.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m    100\u001b[39m logger.debug(\u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33mEntering \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc.\u001b[34m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m()\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m    102\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m IndentationContext():\n\u001b[32m--> \u001b[39m\u001b[32m103\u001b[39m     result = \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    105\u001b[39m logger.debug(\u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33mExiting \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc.\u001b[34m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m()\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m    106\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/miniconda3/envs/return-on-investment/lib/python3.12/site-packages/yfinance/data.py:424\u001b[39m, in \u001b[36mYfData._make_request\u001b[39m\u001b[34m(self, url, request_method, user_agent_headers, body, params, timeout)\u001b[39m\n\u001b[32m    422\u001b[39m     \u001b[38;5;66;03m# Raise exception if rate limited\u001b[39;00m\n\u001b[32m    423\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m response.status_code == \u001b[32m429\u001b[39m:\n\u001b[32m--> \u001b[39m\u001b[32m424\u001b[39m         \u001b[38;5;28;01mraise\u001b[39;00m YFRateLimitError()\n\u001b[32m    426\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m response\n",
+      "\u001b[31mYFRateLimitError\u001b[39m: Too Many Requests. Rate limited. Try after a while."
+     ]
+    }
+   ],
+   "source": [
+    "# Get data for Gold futures\n",
+    "gold = yf.Ticker(\"GC=F\")\n",
+    "\n",
+    "# Get historical data (e.g., for the last month)\n",
+    "gold_data = gold.history(period=\"1000mo\")\n",
+    "\n",
+    "# Print the data\n",
+    "(gold_data.head())"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(6185,)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gold_data[\"Close\"].shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Stocks using `FinanceDataReader`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "HTTPError",
+     "evalue": "404 Client Error: Not Found for url: https://query2.finance.yahoo.com/v8/finance/chart/SENSEX?period1=1672675200&period2=1673884800&interval=1d&includeAdjustedClose=true",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mHTTPError\u001b[39m                                 Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[43]\u001b[39m\u001b[32m, line 9\u001b[39m\n\u001b[32m      6\u001b[39m dates = [\u001b[33m\"\u001b[39m\u001b[33m2023-01-03\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m2023-01-10\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m2023-01-17\u001b[39m\u001b[33m\"\u001b[39m]\n\u001b[32m      8\u001b[39m \u001b[38;5;66;03m# Get data over a wide range\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m9\u001b[39m df = \u001b[43mfdr\u001b[49m\u001b[43m.\u001b[49m\u001b[43mDataReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43msymbol\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstart\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mmin\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mdates\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mend\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mmax\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mdates\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m     11\u001b[39m \u001b[38;5;66;03m# Filter for your exact dates\u001b[39;00m\n\u001b[32m     12\u001b[39m filtered = df[df.index.strftime(\u001b[33m\"\u001b[39m\u001b[33m%\u001b[39m\u001b[33mY-\u001b[39m\u001b[33m%\u001b[39m\u001b[33mm-\u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[33m\"\u001b[39m).isin(dates)]\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/miniconda3/envs/return-on-investment/lib/python3.12/site-packages/FinanceDataReader/data.py:92\u001b[39m, in \u001b[36mDataReader\u001b[39m\u001b[34m(symbol, start, end, exchange, data_source)\u001b[39m\n\u001b[32m     88\u001b[39m         \u001b[38;5;28;01mreturn\u001b[39;00m NaverDailyReader(codes, start, end).read()\n\u001b[32m     89\u001b[39m     \u001b[38;5;66;03m# 1-4) US and other stocks \u001b[39;00m\n\u001b[32m     90\u001b[39m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m     91\u001b[39m         \u001b[38;5;66;03m# Yahoo is default source for US and other stocks\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m92\u001b[39m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mYahooDailyReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcodes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstart\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mend\u001b[49m\u001b[43m)\u001b[49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m     94\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:  \u001b[38;5;66;03m# data source specified\u001b[39;00m\n\u001b[32m     95\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m source == \u001b[33m'\u001b[39m\u001b[33mKRX\u001b[39m\u001b[33m'\u001b[39m:\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/miniconda3/envs/return-on-investment/lib/python3.12/site-packages/FinanceDataReader/yahoo/data.py:61\u001b[39m, in \u001b[36mYahooDailyReader.read\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m     58\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mread\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[32m     59\u001b[39m     \u001b[38;5;66;03m# single symbol\u001b[39;00m\n\u001b[32m     60\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[33m'\u001b[39m\u001b[33m,\u001b[39m\u001b[33m'\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.symbol: \n\u001b[32m---> \u001b[39m\u001b[32m61\u001b[39m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_yahoo_data_reader\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43msymbol\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mexchange\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mstart\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mend\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m     63\u001b[39m     \u001b[38;5;66;03m# multiple symbols, merge close price data as columns\u001b[39;00m\n\u001b[32m     64\u001b[39m     df_list = []\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/miniconda3/envs/return-on-investment/lib/python3.12/site-packages/FinanceDataReader/yahoo/data.py:38\u001b[39m, in \u001b[36m_yahoo_data_reader\u001b[39m\u001b[34m(symbol, exchange, start, end)\u001b[39m\n\u001b[32m     33\u001b[39m url = (\n\u001b[32m     34\u001b[39m     \u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33mhttps://query2.finance.yahoo.com/v8/finance/chart/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m_map_symbol(symbol,\u001b[38;5;250m \u001b[39mexchange)\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m?\u001b[39m\u001b[33m'\u001b[39m\n\u001b[32m     35\u001b[39m     \u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33mperiod1=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mstart_ts\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m&period2=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mend_ts\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m&interval=1d&includeAdjustedClose=true\u001b[39m\u001b[33m'\u001b[39m\n\u001b[32m     36\u001b[39m )\n\u001b[32m     37\u001b[39m r = requests.get(url, headers={\u001b[33m'\u001b[39m\u001b[33muser-agent\u001b[39m\u001b[33m'\u001b[39m: \u001b[33m'\u001b[39m\u001b[33mMozilla/5.0 AppleWebKit/537.36\u001b[39m\u001b[33m'\u001b[39m})\n\u001b[32m---> \u001b[39m\u001b[32m38\u001b[39m \u001b[43mr\u001b[49m\u001b[43m.\u001b[49m\u001b[43mraise_for_status\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m     39\u001b[39m jo = r.json()\n\u001b[32m     41\u001b[39m index = pd.to_datetime(jo[\u001b[33m'\u001b[39m\u001b[33mchart\u001b[39m\u001b[33m'\u001b[39m][\u001b[33m'\u001b[39m\u001b[33mresult\u001b[39m\u001b[33m'\u001b[39m][\u001b[32m0\u001b[39m][\u001b[33m'\u001b[39m\u001b[33mtimestamp\u001b[39m\u001b[33m'\u001b[39m], unit=\u001b[33m'\u001b[39m\u001b[33ms\u001b[39m\u001b[33m'\u001b[39m).normalize()\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/miniconda3/envs/return-on-investment/lib/python3.12/site-packages/requests/models.py:1021\u001b[39m, in \u001b[36mResponse.raise_for_status\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m   1016\u001b[39m     http_error_msg = (\n\u001b[32m   1017\u001b[39m         \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m.status_code\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m Server Error: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mreason\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m for url: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m.url\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m   1018\u001b[39m     )\n\u001b[32m   1020\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m http_error_msg:\n\u001b[32m-> \u001b[39m\u001b[32m1021\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m HTTPError(http_error_msg, response=\u001b[38;5;28mself\u001b[39m)\n",
+      "\u001b[31mHTTPError\u001b[39m: 404 Client Error: Not Found for url: https://query2.finance.yahoo.com/v8/finance/chart/SENSEX?period1=1672675200&period2=1673884800&interval=1d&includeAdjustedClose=true"
+     ]
+    }
+   ],
+   "source": [
+    "import FinanceDataReader as fdr\n",
+    "import pandas as pd\n",
+    "\n",
+    "# Define your stock and list of dates\n",
+    "symbol = # \"AAPL\"\n",
+    "dates = [\"2023-01-03\", \"2023-01-10\", \"2023-01-17\"]\n",
+    "\n",
+    "# Get data over a wide range\n",
+    "df = fdr.DataReader(symbol, start=min(dates), end=max(dates))\n",
+    "\n",
+    "# Filter for your exact dates\n",
+    "filtered = df[df.index.strftime(\"%Y-%m-%d\").isin(dates)]\n",
+    "print(filtered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       2009\n",
+       "1       2010\n",
+       "2       2010\n",
+       "3       2010\n",
+       "4       2010\n",
+       "        ... \n",
+       "3850    2025\n",
+       "3851    2025\n",
+       "3852    2025\n",
+       "3853    2025\n",
+       "3854    2025\n",
+       "Name: index, Length: 3855, dtype: int32"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[\"index\"].dt.year"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -154,132 +267,263 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>Open</th>\n",
-       "      <th>High</th>\n",
-       "      <th>Low</th>\n",
+       "      <th>Date</th>\n",
        "      <th>Close</th>\n",
-       "      <th>Volume</th>\n",
-       "      <th>Dividends</th>\n",
-       "      <th>Stock Splits</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>Year</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2012-05-18 00:00:00-04:00</th>\n",
-       "      <td>41.852747</td>\n",
-       "      <td>44.788910</td>\n",
-       "      <td>37.821746</td>\n",
-       "      <td>38.050667</td>\n",
-       "      <td>573576400</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>2020</th>\n",
+       "      <td>2020-02-11</td>\n",
+       "      <td>9517.860352</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2012-05-21 00:00:00-04:00</th>\n",
-       "      <td>36.358638</td>\n",
-       "      <td>36.488029</td>\n",
-       "      <td>32.845198</td>\n",
-       "      <td>33.870365</td>\n",
-       "      <td>168192700</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>2021</th>\n",
+       "      <td>2021-01-04</td>\n",
+       "      <td>12694.660156</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2012-05-22 00:00:00-04:00</th>\n",
-       "      <td>32.457030</td>\n",
-       "      <td>33.432433</td>\n",
-       "      <td>30.794864</td>\n",
-       "      <td>30.854582</td>\n",
-       "      <td>101786600</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>2022</th>\n",
+       "      <td>2022-01-03</td>\n",
+       "      <td>16501.769531</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2012-05-23 00:00:00-04:00</th>\n",
-       "      <td>31.222848</td>\n",
-       "      <td>32.347546</td>\n",
-       "      <td>31.212894</td>\n",
-       "      <td>31.849892</td>\n",
-       "      <td>73600000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>2023</th>\n",
+       "      <td>2023-01-03</td>\n",
+       "      <td>10862.639648</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2012-05-24 00:00:00-04:00</th>\n",
-       "      <td>32.795434</td>\n",
-       "      <td>33.054213</td>\n",
-       "      <td>31.620969</td>\n",
-       "      <td>32.875057</td>\n",
-       "      <td>50237200</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>2024</th>\n",
+       "      <td>2024-01-02</td>\n",
+       "      <td>16543.939453</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025</th>\n",
+       "      <td>2025-01-02</td>\n",
+       "      <td>20975.619141</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                Open       High        Low      Close  \\\n",
-       "Date                                                                    \n",
-       "2012-05-18 00:00:00-04:00  41.852747  44.788910  37.821746  38.050667   \n",
-       "2012-05-21 00:00:00-04:00  36.358638  36.488029  32.845198  33.870365   \n",
-       "2012-05-22 00:00:00-04:00  32.457030  33.432433  30.794864  30.854582   \n",
-       "2012-05-23 00:00:00-04:00  31.222848  32.347546  31.212894  31.849892   \n",
-       "2012-05-24 00:00:00-04:00  32.795434  33.054213  31.620969  32.875057   \n",
-       "\n",
-       "                              Volume  Dividends  Stock Splits  \n",
-       "Date                                                           \n",
-       "2012-05-18 00:00:00-04:00  573576400        0.0           0.0  \n",
-       "2012-05-21 00:00:00-04:00  168192700        0.0           0.0  \n",
-       "2012-05-22 00:00:00-04:00  101786600        0.0           0.0  \n",
-       "2012-05-23 00:00:00-04:00   73600000        0.0           0.0  \n",
-       "2012-05-24 00:00:00-04:00   50237200        0.0           0.0  "
+       "           Date         Close\n",
+       "Year                         \n",
+       "2020 2020-02-11   9517.860352\n",
+       "2021 2021-01-04  12694.660156\n",
+       "2022 2022-01-03  16501.769531\n",
+       "2023 2023-01-03  10862.639648\n",
+       "2024 2024-01-02  16543.939453\n",
+       "2025 2025-01-02  20975.619141"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "# Get data for Gold futures\n",
-    "gold = yf.Ticker(\"GC=F\")\n",
+    "import FinanceDataReader as fdr\n",
+    "import pandas as pd\n",
     "\n",
-    "# Get historical data (e.g., for the last month)\n",
-    "gold_data = gold.history(period=\"1000mo\")\n",
+    "# Define your stock symbol\n",
+    "symbol = [\n",
+    "    \"^IXIC\",  # NASDAQ Composite\n",
+    "    \"NDX\",  # NASDAQ-100\n",
+    "    # \"AAPL\"\n",
+    "][-1]\n",
+    "# Get data over a wide range (e.g., 2010-2025)\n",
+    "df = fdr.DataReader(symbol, start=\"1995-01-01\", end=\"2025-04-30\")\n",
     "\n",
-    "# Print the data\n",
-    "(gold_data.head())"
+    "# Reset index to access the date as a column\n",
+    "df = df.reset_index()\n",
+    "\n",
+    "df[\"Date\"] = df[\"index\"]\n",
+    "\n",
+    "# Extract year from the date\n",
+    "df[\"Year\"] = df[\"Date\"].dt.year\n",
+    "\n",
+    "# Get the first available date and closing price for each year\n",
+    "first_per_year = df.groupby(\"Year\").first()\n",
+    "\n",
+    "# Show the date and closing price for each year\n",
+    "result = first_per_year[[\"Date\", \"Close\"]]\n",
+    "# print(result)\n",
+    "result"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
-       "(6185,)"
+       "<Figure size 1200x600 with 1 Axes>"
       ]
      },
-     "execution_count": 15,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "gold_data[\"Close\"].shape"
+    "import FinanceDataReader as fdr\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Download historical data\n",
+    "ixic = fdr.DataReader(\"IXIC\", start=\"1990\")[\"Close\"]  # NASDAQ Composite\n",
+    "ndx = fdr.DataReader(\"NDX\", start=\"1990\")[\"Close\"]  # NASDAQ-100\n",
+    "msft = fdr.DataReader(\"MSFT\", start=\"1990\")[\"Close\"]  # Microsoft\n",
+    "aapl = fdr.DataReader(\"AAPL\", start=\"1990\")[\"Close\"]  # Apple\n",
+    "amzn = fdr.DataReader(\"AMZN\", start=\"1990\")[\"Close\"]  # Amazon\n",
+    "goog = fdr.DataReader(\"GOOG\", start=\"1990\")[\"Close\"]  # Google\n",
+    "nvda = fdr.DataReader(\"NVDA\", start=\"1990\")[\"Close\"]  # NVIDIA\n",
+    "tsla = fdr.DataReader(\"TSLA\", start=\"1990\")[\"Close\"]  # Tesla\n",
+    "meta = fdr.DataReader(\"META\", start=\"1990\")[\"Close\"]  # Meta\n",
+    "\n",
+    "\n",
+    "def get_yealy_data(df):\n",
+    "    # Reset index to access the date as a column\n",
+    "    df = df.reset_index()\n",
+    "\n",
+    "    # Extract year from the date\n",
+    "    df[\"Year\"] = df[\"index\"].dt.year\n",
+    "    # Get the first available date and closing price for each year\n",
+    "    first_per_year = df.groupby(\"Year\").first()\n",
+    "\n",
+    "    first_per_year.set_index(\"index\", inplace=True)\n",
+    "    return first_per_year\n",
+    "\n",
+    "\n",
+    "ixic = get_yealy_data(ixic)\n",
+    "ndx = get_yealy_data(ndx)\n",
+    "msft = get_yealy_data(msft)\n",
+    "aapl = get_yealy_data(aapl)\n",
+    "amzn = get_yealy_data(amzn)\n",
+    "goog = get_yealy_data(goog)\n",
+    "nvda = get_yealy_data(nvda)\n",
+    "tsla = get_yealy_data(tsla)\n",
+    "meta = get_yealy_data(meta)\n",
+    "\n",
+    "\n",
+    "# Calculate cumulative rate of return\n",
+    "ixic_cum_return = (ixic / ixic.iloc[0]) - 1\n",
+    "ndx_cum_return = (ndx / ndx.iloc[0]) - 1\n",
+    "msft_cum_return = (msft / msft.iloc[0]) - 1\n",
+    "aapl_cum_return = (aapl / aapl.iloc[0]) - 1\n",
+    "amzn_cum_return = (amzn / amzn.iloc[0]) - 1\n",
+    "goog_cum_return = (goog / goog.iloc[0]) - 1\n",
+    "nvda_cum_return = (nvda / nvda.iloc[0]) - 1\n",
+    "tsla_cum_return = (tsla / tsla.iloc[0]) - 1\n",
+    "meta_cum_return = (meta / meta.iloc[0]) - 1\n",
+    "\n",
+    "# Plot cumulative rate of return\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "plt.plot(ixic_cum_return, label=\"NASDAQ Composite (^IXIC)\", linewidth=1.5)\n",
+    "plt.plot(ndx_cum_return, label=\"NASDAQ-100 (^NDX)\", linewidth=1.5)\n",
+    "plt.plot(msft_cum_return, label=\"Microsoft (MSFT)\", linewidth=1.5)\n",
+    "plt.plot(aapl_cum_return, label=\"Apple (AAPL)\", linewidth=1.5)\n",
+    "plt.plot(amzn_cum_return, label=\"Amazon (AMZN)\", linewidth=1.5)\n",
+    "plt.plot(goog_cum_return, label=\"Google (GOOG)\", linewidth=1.5)\n",
+    "plt.plot(nvda_cum_return, label=\"NVIDIA (NVDA)\", linewidth=1.5)\n",
+    "plt.plot(tsla_cum_return, label=\"Tesla (TSLA)\", linewidth=1.5)\n",
+    "plt.plot(meta_cum_return, label=\"Meta (META)\", linewidth=1.5)\n",
+    "plt.title(\"Cumulative Rate of Return: NASDAQ Composite vs NASDAQ-100 (Since 2010)\")\n",
+    "plt.xlabel(\"Year\")\n",
+    "plt.ylabel(\"Cumulative Return\")\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import FinanceDataReader as fdr\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Download historical data\n",
+    "ixic = fdr.DataReader(\"IXIC\", start=\"2010\")  # From FRED (NASDAQ Composite)\n",
+    "ndx = fdr.DataReader(\"NDX\", start=\"2010\")  # From NASDAQ-100\n",
+    "\n",
+    "# Align dates\n",
+    "ixic = ixic[\"Close\"]\n",
+    "ndx = ndx[\"Close\"]\n",
+    "\n",
+    "# Plot\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "plt.plot(ixic, label=\"NASDAQ Composite (^IXIC)\", linewidth=1.5)\n",
+    "plt.plot(ndx, label=\"NASDAQ-100 (^NDX)\", linewidth=1.5)\n",
+    "plt.title(\"Growth of NASDAQ Composite and NASDAQ-100 Since Inception\")\n",
+    "plt.xlabel(\"Year\")\n",
+    "plt.ylabel(\"Index Level\")\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import FinanceDataReader as fdr\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Download historical data\n",
+    "ixic = fdr.DataReader(\"IXIC\", start=\"1990\")[\"Close\"]  # NASDAQ Composite\n",
+    "ndx = fdr.DataReader(\"NDX\", start=\"1990\")[\"Close\"]  # NASDAQ-100\n",
+    "\n",
+    "# Calculate cumulative rate of return\n",
+    "ixic_cum_return = (ixic / ixic.iloc[0]) - 1\n",
+    "ndx_cum_return = (ndx / ndx.iloc[0]) - 1\n",
+    "\n",
+    "# Plot cumulative rate of return\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "plt.plot(ixic_cum_return, label=\"NASDAQ Composite (^IXIC)\", linewidth=1.5)\n",
+    "plt.plot(ndx_cum_return, label=\"NASDAQ-100 (^NDX)\", linewidth=1.5)\n",
+    "plt.title(\"Cumulative Rate of Return: NASDAQ Composite vs NASDAQ-100 (Since 2010)\")\n",
+    "plt.xlabel(\"Year\")\n",
+    "plt.ylabel(\"Cumulative Return\")\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
    ]
   },
   {