buy_sell_signals.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import yfinance as yf\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "use_ema=True\n",
    "tikr='^GSPC'\n",
    "start='2022-01-01'\n",
    "\n",
    "_stock_price_history=yf.Ticker(tikr).history(start=start)#,end='2021-01-01')\n",
    "_stock_price_history.dropna(inplace=True)\n",
    "\n",
    "_market=yf.Ticker('^GSPC').history(start=start)#,end='2021-01-01')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top 5 window combinations:\n",
      "      windows    return  hit_rate  trades   EMA?\n",
      "2421  [9, 11]  0.529470  0.581395      86  False\n",
      "2422  [9, 12]  0.511102  0.558824      68  False\n",
      "2332  [8, 12]  0.505659  0.645161      62  False\n",
      "2331  [8, 11]  0.488876  0.684211      76  False\n",
      "2423  [9, 13]  0.456324  0.482759      58  False\n",
      "^GSPC returns without trading:25.93%\n",
      "Market returns:25.93%\n",
      "Total time: 1124 days 00:00:00\n"
     ]
    }
   ],
   "source": [
    "# Strategy to find optimal moving average window combinations\n",
    "best_return = -float('inf')\n",
    "best_windows = None\n",
    "window_combinations = []\n",
    "results = []\n",
    "\n",
    "sort_by='return' # or 'hit_rate'\n",
    "\n",
    "#use_ema=False\n",
    "for use_ema in [True,False]:\n",
    "    # Test different window combinations\n",
    "    for short_window in range(5, 30):\n",
    "        for long_window in range(short_window + 1, 100):\n",
    "            stock_price_history = _stock_price_history.copy()\n",
    "            windows = [short_window, long_window]\n",
    "            \n",
    "            # Calculate moving averages\n",
    "            for window in windows:\n",
    "                if use_ema:\n",
    "                    stock_price_history[f'MA{window}'] = stock_price_history['Close'].ewm(span=window, adjust=False, min_periods=window).mean()\n",
    "                else:\n",
    "                    stock_price_history[f'MA{window}'] = stock_price_history['Close'].rolling(window=window).mean()\n",
    "            \n",
    "            # Create signals\n",
    "            stock_price_history['MA_cross'] = np.where(\n",
    "                stock_price_history[f'MA{windows[0]}'] > stock_price_history[f'MA{windows[1]}'], 1, -1)\n",
    "            stock_price_history['crossover'] = stock_price_history['MA_cross'].diff()\n",
    "            \n",
    "            # Get crossover dates\n",
    "            crossover_dates = stock_price_history[stock_price_history['crossover'] != 0]\n",
    "            if len(crossover_dates[crossover_dates['crossover'] == 2]) == 0 or len(crossover_dates[crossover_dates['crossover'] == -2]) == 0:\n",
    "                continue\n",
    "                \n",
    "            first_buy_date = crossover_dates[crossover_dates['crossover'] == 2].index[0]\n",
    "            last_sell_date = crossover_dates[crossover_dates['crossover'] == -2].index[-1]\n",
    "            \n",
    "            crossover_dates = crossover_dates.loc[first_buy_date:last_sell_date].copy()\n",
    "            crossover_dates.dropna(inplace=True)\n",
    "            \n",
    "            # Calculate returns\n",
    "            crossover_dates['return'] = np.where(crossover_dates['crossover']==2, 0, crossover_dates['Close'].pct_change())\n",
    "            returns = crossover_dates['return'].to_numpy(dtype=float)\n",
    "            returns = returns[returns!=0]\n",
    "            \n",
    "            if len(returns) > 0:\n",
    "                total_return = np.prod(1+returns)-1\n",
    "                hit_rate = len(returns[returns>0])/len(returns)\n",
    "\n",
    "                if total_return>0:\n",
    "                    results.append({\n",
    "                        'windows': windows,\n",
    "                        'return': total_return,\n",
    "                        'hit_rate': hit_rate,\n",
    "                        'trades': len(crossover_dates),\n",
    "                        'EMA?': use_ema,\n",
    "                    })\n",
    "                else:\n",
    "                    windows = windows[::-1]\n",
    "                    total_return = -total_return\n",
    "                    hit_rate = 1-hit_rate\n",
    "                    results.append({\n",
    "                        'windows': windows,\n",
    "                        'return': total_return,\n",
    "                        'hit_rate': hit_rate,\n",
    "                        'trades': len(crossover_dates),\n",
    "                        'EMA?': use_ema,\n",
    "                    })\n",
    "                    \n",
    "# Sort results by return and display top 5\n",
    "results_df = pd.DataFrame(results).sort_values(sort_by, ascending=False)\n",
    "print(\"Top 5 window combinations:\")\n",
    "print(results_df.head())\n",
    "\n",
    "print(f\"{tikr} returns without trading:{(_stock_price_history.Close.iloc[-1]-_stock_price_history.Close.iloc[0])*100/(_stock_price_history.Close.iloc[0]):.2f}%\")\n",
    "print(f\"Market returns:{(_market.Close.iloc[-1]-_market.Close.iloc[0])*100/(_market.Close.iloc[0]):.2f}%\")\n",
    "print(f\"Total time: {_stock_price_history.index[-1]-_stock_price_history.index[0]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using SMA\n",
      "Strategy: Buy when MA9 > MA11, sell when MA9 < MA11\n",
      "Number of trades: 86\n",
      "Hit rate: 58.14%\n",
      "Total time: 1083 days 00:00:00\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from backtesting import Backtest#backtest, plot_strategy\n",
    "\n",
    "windows=results_df.iloc[0]['windows']#[9,11]#\n",
    "use_ema=results_df.iloc[0]['EMA?']#False#\n",
    "# when the short term moving average is above the long term moving average, the stock is considered bullish\n",
    "stock_price_history=_stock_price_history.copy()\n",
    "\n",
    "if use_ema:\n",
    "    print(f\"Using EMA\")\n",
    "else:\n",
    "    print(f\"Using SMA\")\n",
    "print(f\"Strategy: Buy when MA{windows[0]} > MA{windows[1]}, sell when MA{windows[0]} < MA{windows[1]}\")\n",
    "\n",
    "for window in windows:\n",
    "    if use_ema:\n",
    "        stock_price_history['MA'+str(window)]=stock_price_history['Close'].ewm(span=window, adjust=False, min_periods=window).mean()\n",
    "    else:\n",
    "        stock_price_history['MA'+str(window)]=stock_price_history['Close'].rolling(window=window).mean()\n",
    "\n",
    "# Create crossover signals\n",
    "stock_price_history['MA_cross'] = np.where(\n",
    "    stock_price_history['MA'+str(windows[0])] > stock_price_history['MA'+str(windows[1])], 1, -1)\n",
    "# Find where the signal changes (crossover points)\n",
    "stock_price_history['crossover'] = stock_price_history['MA_cross'].diff()\n",
    "\n",
    "# Get dates where crossovers occur\n",
    "crossover_dates = stock_price_history[stock_price_history['crossover'] != 0].copy()\n",
    "crossover_dates['signal'] = np.where(crossover_dates['crossover'] == 2, 'buy', 'sell')\n",
    "\n",
    "backtester=Backtest(crossover_dates, stock_price_history, None)\n",
    "backtester.run_backtest()\n",
    "\n",
    "\n",
    "plt.rcParams['mathtext.fontset'] = 'stix'\n",
    "plt.rcParams['font.family'] = 'STIXGeneral'\n",
    "\n",
    "\n",
    "SMALL_SIZE = 12\n",
    "MEDIUM_SIZE = 14\n",
    "BIGGER_SIZE = 14\n",
    "\n",
    "plt.rc('font', size=SMALL_SIZE)          # controls default text sizes\n",
    "plt.rc('axes', titlesize=BIGGER_SIZE)     # fontsize of the axes title\n",
    "plt.rc('axes', labelsize=MEDIUM_SIZE)    # fontsize of the x and y labels\n",
    "plt.rc('xtick', labelsize=SMALL_SIZE)    # fontsize of the tick labels\n",
    "plt.rc('ytick', labelsize=SMALL_SIZE)    # fontsize of the tick labels\n",
    "plt.rc('legend', fontsize=SMALL_SIZE)    # legend fontsize\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12,6))\n",
    "ax=backtester.plot_strategy(tikr='SP500',ax=ax)\n",
    "ax.plot(stock_price_history['MA'+str(windows[0])],label='MA'+str(windows[0]),linestyle='--',linewidth=1,color='purple')\n",
    "ax.plot(stock_price_history['MA'+str(windows[1])],label='MA'+str(windows[1]),linestyle='--',linewidth=1,color='tab:olive')\n",
    "\n",
    "ax.set_title(f\"{tikr} Trading Strategy Performance\")\n",
    "ax.set_xlabel('Date')\n",
    "ax.set_ylabel('Value')\n",
    "ax.legend()\n",
    "ax.grid(True)\n",
    "fig.savefig('figures/'+tikr+'_portfolio_performance.png',dpi=300,bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Alpha: 27.01%\n"
     ]
    }
   ],
   "source": [
    "# Alpha calculation\n",
    "market_returns =(_market['Close'].iloc[-1]-_market['Close'].iloc[0])*100/_market['Close'].iloc[0]\n",
    "strategy_returns = backtester.portfolio_returns\n",
    "rf = 0.01\n",
    "\n",
    "alpha = strategy_returns - rf - (market_returns - rf)\n",
    "print(f'Alpha: {alpha:.2f}%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Dividends</th>\n",
       "      <th>Stock Splits</th>\n",
       "      <th>MA9</th>\n",
       "      <th>MA11</th>\n",
       "      <th>MA_cross</th>\n",
       "      <th>crossover</th>\n",
       "      <th>signal</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-02-03 00:00:00-05:00</th>\n",
       "      <td>4535.410156</td>\n",
       "      <td>4542.879883</td>\n",
       "      <td>4470.390137</td>\n",
       "      <td>4477.439941</td>\n",
       "      <td>4401970000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4444.864421</td>\n",
       "      <td>4444.040882</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>buy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-04 00:00:00-05:00</th>\n",
       "      <td>4482.790039</td>\n",
       "      <td>4539.660156</td>\n",
       "      <td>4451.500000</td>\n",
       "      <td>4500.529785</td>\n",
       "      <td>4706290000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4454.908854</td>\n",
       "      <td>4445.659047</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>hold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-07 00:00:00-05:00</th>\n",
       "      <td>4505.750000</td>\n",
       "      <td>4521.859863</td>\n",
       "      <td>4471.470215</td>\n",
       "      <td>4483.870117</td>\n",
       "      <td>4228480000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4469.066623</td>\n",
       "      <td>4453.470881</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>hold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-08 00:00:00-05:00</th>\n",
       "      <td>4480.020020</td>\n",
       "      <td>4531.319824</td>\n",
       "      <td>4465.399902</td>\n",
       "      <td>4521.540039</td>\n",
       "      <td>4459620000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4488.134386</td>\n",
       "      <td>4463.599077</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>hold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-09 00:00:00-05:00</th>\n",
       "      <td>4547.000000</td>\n",
       "      <td>4590.029785</td>\n",
       "      <td>4547.000000</td>\n",
       "      <td>4587.180176</td>\n",
       "      <td>4524350000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4517.097765</td>\n",
       "      <td>4484.574529</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>hold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-01-14 00:00:00-05:00</th>\n",
       "      <td>5859.270020</td>\n",
       "      <td>5871.919922</td>\n",
       "      <td>5805.419922</td>\n",
       "      <td>5842.910156</td>\n",
       "      <td>4142280000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5889.053331</td>\n",
       "      <td>5898.114524</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>hold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-01-15 00:00:00-05:00</th>\n",
       "      <td>5905.209961</td>\n",
       "      <td>5960.609863</td>\n",
       "      <td>5905.209961</td>\n",
       "      <td>5949.910156</td>\n",
       "      <td>4544570000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5896.640028</td>\n",
       "      <td>5896.211825</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>buy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-01-16 00:00:00-05:00</th>\n",
       "      <td>5963.609863</td>\n",
       "      <td>5964.689941</td>\n",
       "      <td>5930.720215</td>\n",
       "      <td>5937.339844</td>\n",
       "      <td>4285810000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5904.283366</td>\n",
       "      <td>5898.975453</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>hold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-01-17 00:00:00-05:00</th>\n",
       "      <td>5995.399902</td>\n",
       "      <td>6014.959961</td>\n",
       "      <td>5978.439941</td>\n",
       "      <td>5996.660156</td>\n",
       "      <td>4366830000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5910.304470</td>\n",
       "      <td>5909.432750</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>hold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-01-21 00:00:00-05:00</th>\n",
       "      <td>6014.120117</td>\n",
       "      <td>6051.509766</td>\n",
       "      <td>6006.879883</td>\n",
       "      <td>6049.240234</td>\n",
       "      <td>4702920000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5918.511176</td>\n",
       "      <td>5925.859153</td>\n",
       "      <td>-1</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>sell</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>743 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  Open         High          Low        Close  \\\n",
       "Date                                                                            \n",
       "2022-02-03 00:00:00-05:00  4535.410156  4542.879883  4470.390137  4477.439941   \n",
       "2022-02-04 00:00:00-05:00  4482.790039  4539.660156  4451.500000  4500.529785   \n",
       "2022-02-07 00:00:00-05:00  4505.750000  4521.859863  4471.470215  4483.870117   \n",
       "2022-02-08 00:00:00-05:00  4480.020020  4531.319824  4465.399902  4521.540039   \n",
       "2022-02-09 00:00:00-05:00  4547.000000  4590.029785  4547.000000  4587.180176   \n",
       "...                                ...          ...          ...          ...   \n",
       "2025-01-14 00:00:00-05:00  5859.270020  5871.919922  5805.419922  5842.910156   \n",
       "2025-01-15 00:00:00-05:00  5905.209961  5960.609863  5905.209961  5949.910156   \n",
       "2025-01-16 00:00:00-05:00  5963.609863  5964.689941  5930.720215  5937.339844   \n",
       "2025-01-17 00:00:00-05:00  5995.399902  6014.959961  5978.439941  5996.660156   \n",
       "2025-01-21 00:00:00-05:00  6014.120117  6051.509766  6006.879883  6049.240234   \n",
       "\n",
       "                               Volume  Dividends  Stock Splits          MA9  \\\n",
       "Date                                                                          \n",
       "2022-02-03 00:00:00-05:00  4401970000        0.0           0.0  4444.864421   \n",
       "2022-02-04 00:00:00-05:00  4706290000        0.0           0.0  4454.908854   \n",
       "2022-02-07 00:00:00-05:00  4228480000        0.0           0.0  4469.066623   \n",
       "2022-02-08 00:00:00-05:00  4459620000        0.0           0.0  4488.134386   \n",
       "2022-02-09 00:00:00-05:00  4524350000        0.0           0.0  4517.097765   \n",
       "...                               ...        ...           ...          ...   \n",
       "2025-01-14 00:00:00-05:00  4142280000        0.0           0.0  5889.053331   \n",
       "2025-01-15 00:00:00-05:00  4544570000        0.0           0.0  5896.640028   \n",
       "2025-01-16 00:00:00-05:00  4285810000        0.0           0.0  5904.283366   \n",
       "2025-01-17 00:00:00-05:00  4366830000        0.0           0.0  5910.304470   \n",
       "2025-01-21 00:00:00-05:00  4702920000        0.0           0.0  5918.511176   \n",
       "\n",
       "                                  MA11  MA_cross  crossover signal  \n",
       "Date                                                                \n",
       "2022-02-03 00:00:00-05:00  4444.040882         1        2.0    buy  \n",
       "2022-02-04 00:00:00-05:00  4445.659047         1        0.0   hold  \n",
       "2022-02-07 00:00:00-05:00  4453.470881         1        0.0   hold  \n",
       "2022-02-08 00:00:00-05:00  4463.599077         1        0.0   hold  \n",
       "2022-02-09 00:00:00-05:00  4484.574529         1        0.0   hold  \n",
       "...                                ...       ...        ...    ...  \n",
       "2025-01-14 00:00:00-05:00  5898.114524        -1        0.0   hold  \n",
       "2025-01-15 00:00:00-05:00  5896.211825         1        2.0    buy  \n",
       "2025-01-16 00:00:00-05:00  5898.975453         1        0.0   hold  \n",
       "2025-01-17 00:00:00-05:00  5909.432750         1        0.0   hold  \n",
       "2025-01-21 00:00:00-05:00  5925.859153        -1       -2.0   sell  \n",
       "\n",
       "[743 rows x 12 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "backtester.stock_price_history"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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