{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating and Backtesting MACD Strategies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use(\"seaborn\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"eurusd.csv\", parse_dates = [\"Date\"], index_col = \"Date\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.plot(figsize = (12, 8), title = \"EUR/USD\", fontsize = 12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  1 of 1 completed\n"
     ]
    }
   ],
   "source": [
    "plt.style.use('fivethirtyeight')\n",
    "plt.rcParams['figure.figsize'] = (15, 8)\n",
    "import yfinance as yf\n",
    "   \n",
    "start1 = '2020-01-01'\n",
    "end1='2021-03-01'\n",
    "# looping over tickers and creating a dataframe with close prices\n",
    "stocks = yf.download('AAPL',start1,end1,interval='1d')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Defining an MACD Strategy (Part 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = stocks.copy()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-02</th>\n",
       "      <td>74.059998</td>\n",
       "      <td>75.150002</td>\n",
       "      <td>73.797501</td>\n",
       "      <td>75.087502</td>\n",
       "      <td>74.207466</td>\n",
       "      <td>135480400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03</th>\n",
       "      <td>74.287498</td>\n",
       "      <td>75.144997</td>\n",
       "      <td>74.125000</td>\n",
       "      <td>74.357498</td>\n",
       "      <td>73.486023</td>\n",
       "      <td>146322800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-06</th>\n",
       "      <td>73.447502</td>\n",
       "      <td>74.989998</td>\n",
       "      <td>73.187500</td>\n",
       "      <td>74.949997</td>\n",
       "      <td>74.071579</td>\n",
       "      <td>118387200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-07</th>\n",
       "      <td>74.959999</td>\n",
       "      <td>75.224998</td>\n",
       "      <td>74.370003</td>\n",
       "      <td>74.597504</td>\n",
       "      <td>73.723213</td>\n",
       "      <td>108872000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-08</th>\n",
       "      <td>74.290001</td>\n",
       "      <td>76.110001</td>\n",
       "      <td>74.290001</td>\n",
       "      <td>75.797501</td>\n",
       "      <td>74.909149</td>\n",
       "      <td>132079200</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-22</th>\n",
       "      <td>128.009995</td>\n",
       "      <td>129.720001</td>\n",
       "      <td>125.599998</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>125.786346</td>\n",
       "      <td>103916400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-23</th>\n",
       "      <td>123.760002</td>\n",
       "      <td>126.709999</td>\n",
       "      <td>118.389999</td>\n",
       "      <td>125.860001</td>\n",
       "      <td>125.646584</td>\n",
       "      <td>158273000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-24</th>\n",
       "      <td>124.940002</td>\n",
       "      <td>125.559998</td>\n",
       "      <td>122.230003</td>\n",
       "      <td>125.349998</td>\n",
       "      <td>125.137444</td>\n",
       "      <td>111039900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-25</th>\n",
       "      <td>124.680000</td>\n",
       "      <td>126.459999</td>\n",
       "      <td>120.540001</td>\n",
       "      <td>120.989998</td>\n",
       "      <td>120.784836</td>\n",
       "      <td>148199500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-26</th>\n",
       "      <td>122.589996</td>\n",
       "      <td>124.849998</td>\n",
       "      <td>121.199997</td>\n",
       "      <td>121.260002</td>\n",
       "      <td>121.054382</td>\n",
       "      <td>164560400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>291 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2020-01-02   74.059998   75.150002   73.797501   75.087502   74.207466   \n",
       "2020-01-03   74.287498   75.144997   74.125000   74.357498   73.486023   \n",
       "2020-01-06   73.447502   74.989998   73.187500   74.949997   74.071579   \n",
       "2020-01-07   74.959999   75.224998   74.370003   74.597504   73.723213   \n",
       "2020-01-08   74.290001   76.110001   74.290001   75.797501   74.909149   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2021-02-22  128.009995  129.720001  125.599998  126.000000  125.786346   \n",
       "2021-02-23  123.760002  126.709999  118.389999  125.860001  125.646584   \n",
       "2021-02-24  124.940002  125.559998  122.230003  125.349998  125.137444   \n",
       "2021-02-25  124.680000  126.459999  120.540001  120.989998  120.784836   \n",
       "2021-02-26  122.589996  124.849998  121.199997  121.260002  121.054382   \n",
       "\n",
       "               Volume  \n",
       "Date                   \n",
       "2020-01-02  135480400  \n",
       "2020-01-03  146322800  \n",
       "2020-01-06  118387200  \n",
       "2020-01-07  108872000  \n",
       "2020-01-08  132079200  \n",
       "...               ...  \n",
       "2021-02-22  103916400  \n",
       "2021-02-23  158273000  \n",
       "2021-02-24  111039900  \n",
       "2021-02-25  148199500  \n",
       "2021-02-26  164560400  \n",
       "\n",
       "[291 rows x 6 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "ema_s = 12 # EMA Short\n",
    "ema_l = 26 # EMA Long"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"EMA_S\"] = data.Close.ewm(span = ema_s, min_periods = ema_s).mean() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"EMA_L\"] = data.Close.ewm(span = ema_l, min_periods = ema_l).mean() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "      <th>EMA_S</th>\n",
       "      <th>EMA_L</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-02</th>\n",
       "      <td>75.087502</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03</th>\n",
       "      <td>74.357498</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-06</th>\n",
       "      <td>74.949997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-07</th>\n",
       "      <td>74.597504</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-08</th>\n",
       "      <td>75.797501</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-24</th>\n",
       "      <td>131.970001</td>\n",
       "      <td>127.699314</td>\n",
       "      <td>124.375841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-28</th>\n",
       "      <td>136.690002</td>\n",
       "      <td>129.082497</td>\n",
       "      <td>125.288001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-29</th>\n",
       "      <td>134.869995</td>\n",
       "      <td>129.972881</td>\n",
       "      <td>125.997778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-30</th>\n",
       "      <td>133.720001</td>\n",
       "      <td>130.549361</td>\n",
       "      <td>126.569795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-31</th>\n",
       "      <td>132.690002</td>\n",
       "      <td>130.878691</td>\n",
       "      <td>127.023144</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>253 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Close       EMA_S       EMA_L\n",
       "Date                                          \n",
       "2020-01-02   75.087502         NaN         NaN\n",
       "2020-01-03   74.357498         NaN         NaN\n",
       "2020-01-06   74.949997         NaN         NaN\n",
       "2020-01-07   74.597504         NaN         NaN\n",
       "2020-01-08   75.797501         NaN         NaN\n",
       "...                ...         ...         ...\n",
       "2020-12-24  131.970001  127.699314  124.375841\n",
       "2020-12-28  136.690002  129.082497  125.288001\n",
       "2020-12-29  134.869995  129.972881  125.997778\n",
       "2020-12-30  133.720001  130.549361  126.569795\n",
       "2020-12-31  132.690002  130.878691  127.023144\n",
       "\n",
       "[253 rows x 3 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.loc[\"2020\", [\"Close\", \"EMA_S\", \"EMA_L\"]]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.loc[\"2020\", [\"Close\", \"EMA_S\", \"EMA_L\"]].plot(figsize = (12, 8))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"MACD\"] = data.EMA_S - data.EMA_L"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>EMA_S</th>\n",
       "      <th>EMA_L</th>\n",
       "      <th>MACD</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-02</th>\n",
       "      <td>74.059998</td>\n",
       "      <td>75.150002</td>\n",
       "      <td>73.797501</td>\n",
       "      <td>75.087502</td>\n",
       "      <td>74.207466</td>\n",
       "      <td>135480400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03</th>\n",
       "      <td>74.287498</td>\n",
       "      <td>75.144997</td>\n",
       "      <td>74.125000</td>\n",
       "      <td>74.357498</td>\n",
       "      <td>73.486023</td>\n",
       "      <td>146322800</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-06</th>\n",
       "      <td>73.447502</td>\n",
       "      <td>74.989998</td>\n",
       "      <td>73.187500</td>\n",
       "      <td>74.949997</td>\n",
       "      <td>74.071579</td>\n",
       "      <td>118387200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-07</th>\n",
       "      <td>74.959999</td>\n",
       "      <td>75.224998</td>\n",
       "      <td>74.370003</td>\n",
       "      <td>74.597504</td>\n",
       "      <td>73.723213</td>\n",
       "      <td>108872000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-08</th>\n",
       "      <td>74.290001</td>\n",
       "      <td>76.110001</td>\n",
       "      <td>74.290001</td>\n",
       "      <td>75.797501</td>\n",
       "      <td>74.909149</td>\n",
       "      <td>132079200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-22</th>\n",
       "      <td>128.009995</td>\n",
       "      <td>129.720001</td>\n",
       "      <td>125.599998</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>125.786346</td>\n",
       "      <td>103916400</td>\n",
       "      <td>132.122755</td>\n",
       "      <td>132.843039</td>\n",
       "      <td>-0.720284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-23</th>\n",
       "      <td>123.760002</td>\n",
       "      <td>126.709999</td>\n",
       "      <td>118.389999</td>\n",
       "      <td>125.860001</td>\n",
       "      <td>125.646584</td>\n",
       "      <td>158273000</td>\n",
       "      <td>131.159255</td>\n",
       "      <td>132.325777</td>\n",
       "      <td>-1.166523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-24</th>\n",
       "      <td>124.940002</td>\n",
       "      <td>125.559998</td>\n",
       "      <td>122.230003</td>\n",
       "      <td>125.349998</td>\n",
       "      <td>125.137444</td>\n",
       "      <td>111039900</td>\n",
       "      <td>130.265523</td>\n",
       "      <td>131.809053</td>\n",
       "      <td>-1.543530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-25</th>\n",
       "      <td>124.680000</td>\n",
       "      <td>126.459999</td>\n",
       "      <td>120.540001</td>\n",
       "      <td>120.989998</td>\n",
       "      <td>120.784836</td>\n",
       "      <td>148199500</td>\n",
       "      <td>128.838519</td>\n",
       "      <td>131.007641</td>\n",
       "      <td>-2.169122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-26</th>\n",
       "      <td>122.589996</td>\n",
       "      <td>124.849998</td>\n",
       "      <td>121.199997</td>\n",
       "      <td>121.260002</td>\n",
       "      <td>121.054382</td>\n",
       "      <td>164560400</td>\n",
       "      <td>127.672593</td>\n",
       "      <td>130.285594</td>\n",
       "      <td>-2.613001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>291 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2020-01-02   74.059998   75.150002   73.797501   75.087502   74.207466   \n",
       "2020-01-03   74.287498   75.144997   74.125000   74.357498   73.486023   \n",
       "2020-01-06   73.447502   74.989998   73.187500   74.949997   74.071579   \n",
       "2020-01-07   74.959999   75.224998   74.370003   74.597504   73.723213   \n",
       "2020-01-08   74.290001   76.110001   74.290001   75.797501   74.909149   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2021-02-22  128.009995  129.720001  125.599998  126.000000  125.786346   \n",
       "2021-02-23  123.760002  126.709999  118.389999  125.860001  125.646584   \n",
       "2021-02-24  124.940002  125.559998  122.230003  125.349998  125.137444   \n",
       "2021-02-25  124.680000  126.459999  120.540001  120.989998  120.784836   \n",
       "2021-02-26  122.589996  124.849998  121.199997  121.260002  121.054382   \n",
       "\n",
       "               Volume       EMA_S       EMA_L      MACD  \n",
       "Date                                                     \n",
       "2020-01-02  135480400         NaN         NaN       NaN  \n",
       "2020-01-03  146322800         NaN         NaN       NaN  \n",
       "2020-01-06  118387200         NaN         NaN       NaN  \n",
       "2020-01-07  108872000         NaN         NaN       NaN  \n",
       "2020-01-08  132079200         NaN         NaN       NaN  \n",
       "...               ...         ...         ...       ...  \n",
       "2021-02-22  103916400  132.122755  132.843039 -0.720284  \n",
       "2021-02-23  158273000  131.159255  132.325777 -1.166523  \n",
       "2021-02-24  111039900  130.265523  131.809053 -1.543530  \n",
       "2021-02-25  148199500  128.838519  131.007641 -2.169122  \n",
       "2021-02-26  164560400  127.672593  130.285594 -2.613001  \n",
       "\n",
       "[291 rows x 9 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.loc[\"2020\", [\"EMA_S\", \"EMA_L\", \"MACD\"]].plot(figsize = (12, 8), secondary_y = \"MACD\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "signal_mw = 9 # Moving Window for Signal Line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"MACD_Signal\"] = data.MACD.ewm(span = signal_mw, min_periods = signal_mw).mean() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Open</th>\n",
       "      <th>High</th>\n",
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       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
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       "      <th>Date</th>\n",
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       "    <tr>\n",
       "      <th>2020-01-02</th>\n",
       "      <td>74.059998</td>\n",
       "      <td>75.150002</td>\n",
       "      <td>73.797501</td>\n",
       "      <td>75.087502</td>\n",
       "      <td>74.207466</td>\n",
       "      <td>135480400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>2020-01-03</th>\n",
       "      <td>74.287498</td>\n",
       "      <td>75.144997</td>\n",
       "      <td>74.125000</td>\n",
       "      <td>74.357498</td>\n",
       "      <td>73.486023</td>\n",
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       "      <th>2020-01-06</th>\n",
       "      <td>73.447502</td>\n",
       "      <td>74.989998</td>\n",
       "      <td>73.187500</td>\n",
       "      <td>74.949997</td>\n",
       "      <td>74.071579</td>\n",
       "      <td>118387200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>2020-01-07</th>\n",
       "      <td>74.959999</td>\n",
       "      <td>75.224998</td>\n",
       "      <td>74.370003</td>\n",
       "      <td>74.597504</td>\n",
       "      <td>73.723213</td>\n",
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       "      <th>2020-01-08</th>\n",
       "      <td>74.290001</td>\n",
       "      <td>76.110001</td>\n",
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       "      <td>75.797501</td>\n",
       "      <td>74.909149</td>\n",
       "      <td>132079200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>2021-02-22</th>\n",
       "      <td>128.009995</td>\n",
       "      <td>129.720001</td>\n",
       "      <td>125.599998</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>125.786346</td>\n",
       "      <td>103916400</td>\n",
       "      <td>132.122755</td>\n",
       "      <td>132.843039</td>\n",
       "      <td>-0.720284</td>\n",
       "      <td>0.604696</td>\n",
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       "    <tr>\n",
       "      <th>2021-02-23</th>\n",
       "      <td>123.760002</td>\n",
       "      <td>126.709999</td>\n",
       "      <td>118.389999</td>\n",
       "      <td>125.860001</td>\n",
       "      <td>125.646584</td>\n",
       "      <td>158273000</td>\n",
       "      <td>131.159255</td>\n",
       "      <td>132.325777</td>\n",
       "      <td>-1.166523</td>\n",
       "      <td>0.250452</td>\n",
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       "    <tr>\n",
       "      <th>2021-02-24</th>\n",
       "      <td>124.940002</td>\n",
       "      <td>125.559998</td>\n",
       "      <td>122.230003</td>\n",
       "      <td>125.349998</td>\n",
       "      <td>125.137444</td>\n",
       "      <td>111039900</td>\n",
       "      <td>130.265523</td>\n",
       "      <td>131.809053</td>\n",
       "      <td>-1.543530</td>\n",
       "      <td>-0.108344</td>\n",
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       "    <tr>\n",
       "      <th>2021-02-25</th>\n",
       "      <td>124.680000</td>\n",
       "      <td>126.459999</td>\n",
       "      <td>120.540001</td>\n",
       "      <td>120.989998</td>\n",
       "      <td>120.784836</td>\n",
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       "      <td>128.838519</td>\n",
       "      <td>131.007641</td>\n",
       "      <td>-2.169122</td>\n",
       "      <td>-0.520500</td>\n",
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       "      <th>2021-02-26</th>\n",
       "      <td>122.589996</td>\n",
       "      <td>124.849998</td>\n",
       "      <td>121.199997</td>\n",
       "      <td>121.260002</td>\n",
       "      <td>121.054382</td>\n",
       "      <td>164560400</td>\n",
       "      <td>127.672593</td>\n",
       "      <td>130.285594</td>\n",
       "      <td>-2.613001</td>\n",
       "      <td>-0.939000</td>\n",
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       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2020-01-02   74.059998   75.150002   73.797501   75.087502   74.207466   \n",
       "2020-01-03   74.287498   75.144997   74.125000   74.357498   73.486023   \n",
       "2020-01-06   73.447502   74.989998   73.187500   74.949997   74.071579   \n",
       "2020-01-07   74.959999   75.224998   74.370003   74.597504   73.723213   \n",
       "2020-01-08   74.290001   76.110001   74.290001   75.797501   74.909149   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2021-02-22  128.009995  129.720001  125.599998  126.000000  125.786346   \n",
       "2021-02-23  123.760002  126.709999  118.389999  125.860001  125.646584   \n",
       "2021-02-24  124.940002  125.559998  122.230003  125.349998  125.137444   \n",
       "2021-02-25  124.680000  126.459999  120.540001  120.989998  120.784836   \n",
       "2021-02-26  122.589996  124.849998  121.199997  121.260002  121.054382   \n",
       "\n",
       "               Volume       EMA_S       EMA_L      MACD  MACD_Signal  \n",
       "Date                                                                  \n",
       "2020-01-02  135480400         NaN         NaN       NaN          NaN  \n",
       "2020-01-03  146322800         NaN         NaN       NaN          NaN  \n",
       "2020-01-06  118387200         NaN         NaN       NaN          NaN  \n",
       "2020-01-07  108872000         NaN         NaN       NaN          NaN  \n",
       "2020-01-08  132079200         NaN         NaN       NaN          NaN  \n",
       "...               ...         ...         ...       ...          ...  \n",
       "2021-02-22  103916400  132.122755  132.843039 -0.720284     0.604696  \n",
       "2021-02-23  158273000  131.159255  132.325777 -1.166523     0.250452  \n",
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       "2021-02-26  164560400  127.672593  130.285594 -2.613001    -0.939000  \n",
       "\n",
       "[291 rows x 10 columns]"
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       "      <th>2020-01-06</th>\n",
       "      <td>73.447502</td>\n",
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       "      <td>73.187500</td>\n",
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       "      <th>2020-01-07</th>\n",
       "      <td>74.959999</td>\n",
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       "      <td>75.797501</td>\n",
       "      <td>74.909149</td>\n",
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       "      <th>2020-12-24</th>\n",
       "      <td>131.320007</td>\n",
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       "      <td>131.100006</td>\n",
       "      <td>131.970001</td>\n",
       "      <td>131.549637</td>\n",
       "      <td>54930100</td>\n",
       "      <td>127.699314</td>\n",
       "      <td>124.375841</td>\n",
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       "      <th>2020-12-28</th>\n",
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       "      <th>2020-12-29</th>\n",
       "      <td>138.050003</td>\n",
       "      <td>138.789993</td>\n",
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       "      <td>134.440399</td>\n",
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       "      <td>129.972881</td>\n",
       "      <td>125.997778</td>\n",
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       "      <th>2020-12-30</th>\n",
       "      <td>135.580002</td>\n",
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       "      <th>2020-12-31</th>\n",
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       "      <td>134.740005</td>\n",
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       "      <td>130.878691</td>\n",
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       "      <td>3.855547</td>\n",
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       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
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       "2020-01-03   74.287498   75.144997   74.125000   74.357498   73.486023   \n",
       "2020-01-06   73.447502   74.989998   73.187500   74.949997   74.071579   \n",
       "2020-01-07   74.959999   75.224998   74.370003   74.597504   73.723213   \n",
       "2020-01-08   74.290001   76.110001   74.290001   75.797501   74.909149   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2020-12-24  131.320007  133.460007  131.100006  131.970001  131.549637   \n",
       "2020-12-28  133.990005  137.339996  133.509995  136.690002  136.254608   \n",
       "2020-12-29  138.050003  138.789993  134.339996  134.869995  134.440399   \n",
       "2020-12-30  135.580002  135.990005  133.399994  133.720001  133.294067   \n",
       "2020-12-31  134.080002  134.740005  131.720001  132.690002  132.267349   \n",
       "\n",
       "               Volume       EMA_S       EMA_L      MACD  MACD_Signal  \n",
       "Date                                                                  \n",
       "2020-01-02  135480400         NaN         NaN       NaN          NaN  \n",
       "2020-01-03  146322800         NaN         NaN       NaN          NaN  \n",
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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.loc[\"2020\", [\"MACD\", \"MACD_Signal\"]].plot(figsize = (12, 8))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Defining an MACD Strategy (Part 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"position\"] = np.where(data.MACD - data.MACD_Signal > 0, 1, -1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>EMA_S</th>\n",
       "      <th>EMA_L</th>\n",
       "      <th>MACD</th>\n",
       "      <th>MACD_Signal</th>\n",
       "      <th>position</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-02</th>\n",
       "      <td>74.059998</td>\n",
       "      <td>75.150002</td>\n",
       "      <td>73.797501</td>\n",
       "      <td>75.087502</td>\n",
       "      <td>74.207466</td>\n",
       "      <td>135480400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03</th>\n",
       "      <td>74.287498</td>\n",
       "      <td>75.144997</td>\n",
       "      <td>74.125000</td>\n",
       "      <td>74.357498</td>\n",
       "      <td>73.486023</td>\n",
       "      <td>146322800</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-06</th>\n",
       "      <td>73.447502</td>\n",
       "      <td>74.989998</td>\n",
       "      <td>73.187500</td>\n",
       "      <td>74.949997</td>\n",
       "      <td>74.071579</td>\n",
       "      <td>118387200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-07</th>\n",
       "      <td>74.959999</td>\n",
       "      <td>75.224998</td>\n",
       "      <td>74.370003</td>\n",
       "      <td>74.597504</td>\n",
       "      <td>73.723213</td>\n",
       "      <td>108872000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-08</th>\n",
       "      <td>74.290001</td>\n",
       "      <td>76.110001</td>\n",
       "      <td>74.290001</td>\n",
       "      <td>75.797501</td>\n",
       "      <td>74.909149</td>\n",
       "      <td>132079200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-22</th>\n",
       "      <td>128.009995</td>\n",
       "      <td>129.720001</td>\n",
       "      <td>125.599998</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>125.786346</td>\n",
       "      <td>103916400</td>\n",
       "      <td>132.122755</td>\n",
       "      <td>132.843039</td>\n",
       "      <td>-0.720284</td>\n",
       "      <td>0.604696</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-23</th>\n",
       "      <td>123.760002</td>\n",
       "      <td>126.709999</td>\n",
       "      <td>118.389999</td>\n",
       "      <td>125.860001</td>\n",
       "      <td>125.646584</td>\n",
       "      <td>158273000</td>\n",
       "      <td>131.159255</td>\n",
       "      <td>132.325777</td>\n",
       "      <td>-1.166523</td>\n",
       "      <td>0.250452</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-24</th>\n",
       "      <td>124.940002</td>\n",
       "      <td>125.559998</td>\n",
       "      <td>122.230003</td>\n",
       "      <td>125.349998</td>\n",
       "      <td>125.137444</td>\n",
       "      <td>111039900</td>\n",
       "      <td>130.265523</td>\n",
       "      <td>131.809053</td>\n",
       "      <td>-1.543530</td>\n",
       "      <td>-0.108344</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-25</th>\n",
       "      <td>124.680000</td>\n",
       "      <td>126.459999</td>\n",
       "      <td>120.540001</td>\n",
       "      <td>120.989998</td>\n",
       "      <td>120.784836</td>\n",
       "      <td>148199500</td>\n",
       "      <td>128.838519</td>\n",
       "      <td>131.007641</td>\n",
       "      <td>-2.169122</td>\n",
       "      <td>-0.520500</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-26</th>\n",
       "      <td>122.589996</td>\n",
       "      <td>124.849998</td>\n",
       "      <td>121.199997</td>\n",
       "      <td>121.260002</td>\n",
       "      <td>121.054382</td>\n",
       "      <td>164560400</td>\n",
       "      <td>127.672593</td>\n",
       "      <td>130.285594</td>\n",
       "      <td>-2.613001</td>\n",
       "      <td>-0.939000</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>291 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2020-01-02   74.059998   75.150002   73.797501   75.087502   74.207466   \n",
       "2020-01-03   74.287498   75.144997   74.125000   74.357498   73.486023   \n",
       "2020-01-06   73.447502   74.989998   73.187500   74.949997   74.071579   \n",
       "2020-01-07   74.959999   75.224998   74.370003   74.597504   73.723213   \n",
       "2020-01-08   74.290001   76.110001   74.290001   75.797501   74.909149   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2021-02-22  128.009995  129.720001  125.599998  126.000000  125.786346   \n",
       "2021-02-23  123.760002  126.709999  118.389999  125.860001  125.646584   \n",
       "2021-02-24  124.940002  125.559998  122.230003  125.349998  125.137444   \n",
       "2021-02-25  124.680000  126.459999  120.540001  120.989998  120.784836   \n",
       "2021-02-26  122.589996  124.849998  121.199997  121.260002  121.054382   \n",
       "\n",
       "               Volume       EMA_S       EMA_L      MACD  MACD_Signal  position  \n",
       "Date                                                                            \n",
       "2020-01-02  135480400         NaN         NaN       NaN          NaN        -1  \n",
       "2020-01-03  146322800         NaN         NaN       NaN          NaN        -1  \n",
       "2020-01-06  118387200         NaN         NaN       NaN          NaN        -1  \n",
       "2020-01-07  108872000         NaN         NaN       NaN          NaN        -1  \n",
       "2020-01-08  132079200         NaN         NaN       NaN          NaN        -1  \n",
       "...               ...         ...         ...       ...          ...       ...  \n",
       "2021-02-22  103916400  132.122755  132.843039 -0.720284     0.604696        -1  \n",
       "2021-02-23  158273000  131.159255  132.325777 -1.166523     0.250452        -1  \n",
       "2021-02-24  111039900  130.265523  131.809053 -1.543530    -0.108344        -1  \n",
       "2021-02-25  148199500  128.838519  131.007641 -2.169122    -0.520500        -1  \n",
       "2021-02-26  164560400  127.672593  130.285594 -2.613001    -0.939000        -1  \n",
       "\n",
       "[291 rows x 11 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.loc[:, [\"MACD\", \"MACD_Signal\", \"position\"]].plot(figsize = (12, 8), fontsize = 12, \n",
    "                                                      secondary_y = \"position\", title = \"EUR/USD\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.loc[\"2020\", [\"MACD\", \"MACD_Signal\", \"position\"]].plot(figsize = (12, 8), fontsize = 12,\n",
    "                                                           secondary_y = \"position\", title = \"EUR/USD\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Vectorized Strategy Backtesting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>EMA_S</th>\n",
       "      <th>EMA_L</th>\n",
       "      <th>MACD</th>\n",
       "      <th>MACD_Signal</th>\n",
       "      <th>position</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-02</th>\n",
       "      <td>74.059998</td>\n",
       "      <td>75.150002</td>\n",
       "      <td>73.797501</td>\n",
       "      <td>75.087502</td>\n",
       "      <td>74.207466</td>\n",
       "      <td>135480400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03</th>\n",
       "      <td>74.287498</td>\n",
       "      <td>75.144997</td>\n",
       "      <td>74.125000</td>\n",
       "      <td>74.357498</td>\n",
       "      <td>73.486023</td>\n",
       "      <td>146322800</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-06</th>\n",
       "      <td>73.447502</td>\n",
       "      <td>74.989998</td>\n",
       "      <td>73.187500</td>\n",
       "      <td>74.949997</td>\n",
       "      <td>74.071579</td>\n",
       "      <td>118387200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-07</th>\n",
       "      <td>74.959999</td>\n",
       "      <td>75.224998</td>\n",
       "      <td>74.370003</td>\n",
       "      <td>74.597504</td>\n",
       "      <td>73.723213</td>\n",
       "      <td>108872000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-08</th>\n",
       "      <td>74.290001</td>\n",
       "      <td>76.110001</td>\n",
       "      <td>74.290001</td>\n",
       "      <td>75.797501</td>\n",
       "      <td>74.909149</td>\n",
       "      <td>132079200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-22</th>\n",
       "      <td>128.009995</td>\n",
       "      <td>129.720001</td>\n",
       "      <td>125.599998</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>125.786346</td>\n",
       "      <td>103916400</td>\n",
       "      <td>132.122755</td>\n",
       "      <td>132.843039</td>\n",
       "      <td>-0.720284</td>\n",
       "      <td>0.604696</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-23</th>\n",
       "      <td>123.760002</td>\n",
       "      <td>126.709999</td>\n",
       "      <td>118.389999</td>\n",
       "      <td>125.860001</td>\n",
       "      <td>125.646584</td>\n",
       "      <td>158273000</td>\n",
       "      <td>131.159255</td>\n",
       "      <td>132.325777</td>\n",
       "      <td>-1.166523</td>\n",
       "      <td>0.250452</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-24</th>\n",
       "      <td>124.940002</td>\n",
       "      <td>125.559998</td>\n",
       "      <td>122.230003</td>\n",
       "      <td>125.349998</td>\n",
       "      <td>125.137444</td>\n",
       "      <td>111039900</td>\n",
       "      <td>130.265523</td>\n",
       "      <td>131.809053</td>\n",
       "      <td>-1.543530</td>\n",
       "      <td>-0.108344</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-25</th>\n",
       "      <td>124.680000</td>\n",
       "      <td>126.459999</td>\n",
       "      <td>120.540001</td>\n",
       "      <td>120.989998</td>\n",
       "      <td>120.784836</td>\n",
       "      <td>148199500</td>\n",
       "      <td>128.838519</td>\n",
       "      <td>131.007641</td>\n",
       "      <td>-2.169122</td>\n",
       "      <td>-0.520500</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-26</th>\n",
       "      <td>122.589996</td>\n",
       "      <td>124.849998</td>\n",
       "      <td>121.199997</td>\n",
       "      <td>121.260002</td>\n",
       "      <td>121.054382</td>\n",
       "      <td>164560400</td>\n",
       "      <td>127.672593</td>\n",
       "      <td>130.285594</td>\n",
       "      <td>-2.613001</td>\n",
       "      <td>-0.939000</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>291 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2020-01-02   74.059998   75.150002   73.797501   75.087502   74.207466   \n",
       "2020-01-03   74.287498   75.144997   74.125000   74.357498   73.486023   \n",
       "2020-01-06   73.447502   74.989998   73.187500   74.949997   74.071579   \n",
       "2020-01-07   74.959999   75.224998   74.370003   74.597504   73.723213   \n",
       "2020-01-08   74.290001   76.110001   74.290001   75.797501   74.909149   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2021-02-22  128.009995  129.720001  125.599998  126.000000  125.786346   \n",
       "2021-02-23  123.760002  126.709999  118.389999  125.860001  125.646584   \n",
       "2021-02-24  124.940002  125.559998  122.230003  125.349998  125.137444   \n",
       "2021-02-25  124.680000  126.459999  120.540001  120.989998  120.784836   \n",
       "2021-02-26  122.589996  124.849998  121.199997  121.260002  121.054382   \n",
       "\n",
       "               Volume       EMA_S       EMA_L      MACD  MACD_Signal  position  \n",
       "Date                                                                            \n",
       "2020-01-02  135480400         NaN         NaN       NaN          NaN        -1  \n",
       "2020-01-03  146322800         NaN         NaN       NaN          NaN        -1  \n",
       "2020-01-06  118387200         NaN         NaN       NaN          NaN        -1  \n",
       "2020-01-07  108872000         NaN         NaN       NaN          NaN        -1  \n",
       "2020-01-08  132079200         NaN         NaN       NaN          NaN        -1  \n",
       "...               ...         ...         ...       ...          ...       ...  \n",
       "2021-02-22  103916400  132.122755  132.843039 -0.720284     0.604696        -1  \n",
       "2021-02-23  158273000  131.159255  132.325777 -1.166523     0.250452        -1  \n",
       "2021-02-24  111039900  130.265523  131.809053 -1.543530    -0.108344        -1  \n",
       "2021-02-25  148199500  128.838519  131.007641 -2.169122    -0.520500        -1  \n",
       "2021-02-26  164560400  127.672593  130.285594 -2.613001    -0.939000        -1  \n",
       "\n",
       "[291 rows x 11 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"returns\"] = np.log(data.Close.div(data.Close.shift(1)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.dropna(inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>EMA_S</th>\n",
       "      <th>EMA_L</th>\n",
       "      <th>MACD</th>\n",
       "      <th>MACD_Signal</th>\n",
       "      <th>position</th>\n",
       "      <th>returns</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>2020-02-20</th>\n",
       "      <td>80.657501</td>\n",
       "      <td>81.162498</td>\n",
       "      <td>79.552498</td>\n",
       "      <td>80.074997</td>\n",
       "      <td>79.324333</td>\n",
       "      <td>100566000</td>\n",
       "      <td>80.329424</td>\n",
       "      <td>79.839493</td>\n",
       "      <td>0.489931</td>\n",
       "      <td>0.553302</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.010312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-21</th>\n",
       "      <td>79.654999</td>\n",
       "      <td>80.112503</td>\n",
       "      <td>77.625000</td>\n",
       "      <td>78.262497</td>\n",
       "      <td>77.528809</td>\n",
       "      <td>129554000</td>\n",
       "      <td>80.010514</td>\n",
       "      <td>79.714204</td>\n",
       "      <td>0.296309</td>\n",
       "      <td>0.495721</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.022895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>74.315002</td>\n",
       "      <td>76.044998</td>\n",
       "      <td>72.307503</td>\n",
       "      <td>74.544998</td>\n",
       "      <td>73.846161</td>\n",
       "      <td>222195200</td>\n",
       "      <td>79.167605</td>\n",
       "      <td>79.305719</td>\n",
       "      <td>-0.138114</td>\n",
       "      <td>0.357041</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.048666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-25</th>\n",
       "      <td>75.237503</td>\n",
       "      <td>75.632500</td>\n",
       "      <td>71.532501</td>\n",
       "      <td>72.019997</td>\n",
       "      <td>71.344841</td>\n",
       "      <td>230673600</td>\n",
       "      <td>78.065694</td>\n",
       "      <td>78.732816</td>\n",
       "      <td>-0.667122</td>\n",
       "      <td>0.137094</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.034459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-26</th>\n",
       "      <td>71.632500</td>\n",
       "      <td>74.470001</td>\n",
       "      <td>71.625000</td>\n",
       "      <td>73.162498</td>\n",
       "      <td>72.476631</td>\n",
       "      <td>198054800</td>\n",
       "      <td>77.310033</td>\n",
       "      <td>78.296789</td>\n",
       "      <td>-0.986756</td>\n",
       "      <td>-0.100752</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.015739</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>2021-02-22</th>\n",
       "      <td>128.009995</td>\n",
       "      <td>129.720001</td>\n",
       "      <td>125.599998</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>125.786346</td>\n",
       "      <td>103916400</td>\n",
       "      <td>132.122755</td>\n",
       "      <td>132.843039</td>\n",
       "      <td>-0.720284</td>\n",
       "      <td>0.604696</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.030252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-23</th>\n",
       "      <td>123.760002</td>\n",
       "      <td>126.709999</td>\n",
       "      <td>118.389999</td>\n",
       "      <td>125.860001</td>\n",
       "      <td>125.646584</td>\n",
       "      <td>158273000</td>\n",
       "      <td>131.159255</td>\n",
       "      <td>132.325777</td>\n",
       "      <td>-1.166523</td>\n",
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       "      <td>-1</td>\n",
       "      <td>-0.001112</td>\n",
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       "    <tr>\n",
       "      <th>2021-02-24</th>\n",
       "      <td>124.940002</td>\n",
       "      <td>125.559998</td>\n",
       "      <td>122.230003</td>\n",
       "      <td>125.349998</td>\n",
       "      <td>125.137444</td>\n",
       "      <td>111039900</td>\n",
       "      <td>130.265523</td>\n",
       "      <td>131.809053</td>\n",
       "      <td>-1.543530</td>\n",
       "      <td>-0.108344</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.004060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-25</th>\n",
       "      <td>124.680000</td>\n",
       "      <td>126.459999</td>\n",
       "      <td>120.540001</td>\n",
       "      <td>120.989998</td>\n",
       "      <td>120.784836</td>\n",
       "      <td>148199500</td>\n",
       "      <td>128.838519</td>\n",
       "      <td>131.007641</td>\n",
       "      <td>-2.169122</td>\n",
       "      <td>-0.520500</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.035402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-26</th>\n",
       "      <td>122.589996</td>\n",
       "      <td>124.849998</td>\n",
       "      <td>121.199997</td>\n",
       "      <td>121.260002</td>\n",
       "      <td>121.054382</td>\n",
       "      <td>164560400</td>\n",
       "      <td>127.672593</td>\n",
       "      <td>130.285594</td>\n",
       "      <td>-2.613001</td>\n",
       "      <td>-0.939000</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.002229</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>258 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2020-02-20   80.657501   81.162498   79.552498   80.074997   79.324333   \n",
       "2020-02-21   79.654999   80.112503   77.625000   78.262497   77.528809   \n",
       "2020-02-24   74.315002   76.044998   72.307503   74.544998   73.846161   \n",
       "2020-02-25   75.237503   75.632500   71.532501   72.019997   71.344841   \n",
       "2020-02-26   71.632500   74.470001   71.625000   73.162498   72.476631   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2021-02-22  128.009995  129.720001  125.599998  126.000000  125.786346   \n",
       "2021-02-23  123.760002  126.709999  118.389999  125.860001  125.646584   \n",
       "2021-02-24  124.940002  125.559998  122.230003  125.349998  125.137444   \n",
       "2021-02-25  124.680000  126.459999  120.540001  120.989998  120.784836   \n",
       "2021-02-26  122.589996  124.849998  121.199997  121.260002  121.054382   \n",
       "\n",
       "               Volume       EMA_S       EMA_L      MACD  MACD_Signal  \\\n",
       "Date                                                                   \n",
       "2020-02-20  100566000   80.329424   79.839493  0.489931     0.553302   \n",
       "2020-02-21  129554000   80.010514   79.714204  0.296309     0.495721   \n",
       "2020-02-24  222195200   79.167605   79.305719 -0.138114     0.357041   \n",
       "2020-02-25  230673600   78.065694   78.732816 -0.667122     0.137094   \n",
       "2020-02-26  198054800   77.310033   78.296789 -0.986756    -0.100752   \n",
       "...               ...         ...         ...       ...          ...   \n",
       "2021-02-22  103916400  132.122755  132.843039 -0.720284     0.604696   \n",
       "2021-02-23  158273000  131.159255  132.325777 -1.166523     0.250452   \n",
       "2021-02-24  111039900  130.265523  131.809053 -1.543530    -0.108344   \n",
       "2021-02-25  148199500  128.838519  131.007641 -2.169122    -0.520500   \n",
       "2021-02-26  164560400  127.672593  130.285594 -2.613001    -0.939000   \n",
       "\n",
       "            position   returns  \n",
       "Date                            \n",
       "2020-02-20        -1 -0.010312  \n",
       "2020-02-21        -1 -0.022895  \n",
       "2020-02-24        -1 -0.048666  \n",
       "2020-02-25        -1 -0.034459  \n",
       "2020-02-26        -1  0.015739  \n",
       "...              ...       ...  \n",
       "2021-02-22        -1 -0.030252  \n",
       "2021-02-23        -1 -0.001112  \n",
       "2021-02-24        -1 -0.004060  \n",
       "2021-02-25        -1 -0.035402  \n",
       "2021-02-26        -1  0.002229  \n",
       "\n",
       "[258 rows x 12 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"strategy\"] = data.position.shift(1) * data[\"returns\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.dropna(inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "ptc = 0.00007"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"trades\"] = data.position.diff().fillna(0).abs()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0    239\n",
       "2.0     18\n",
       "Name: trades, dtype: int64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.trades.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"strategy_net\"] = data.strategy - data.trades * ptc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"creturns\"] = data[\"returns\"].cumsum().apply(np.exp)\n",
    "data[\"cstrategy\"] = data[\"strategy\"].cumsum().apply(np.exp)\n",
    "data[\"cstrategy_net\"] = data[\"strategy_net\"].cumsum().apply(np.exp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>EMA_S</th>\n",
       "      <th>EMA_L</th>\n",
       "      <th>MACD</th>\n",
       "      <th>MACD_Signal</th>\n",
       "      <th>position</th>\n",
       "      <th>returns</th>\n",
       "      <th>strategy</th>\n",
       "      <th>trades</th>\n",
       "      <th>strategy_net</th>\n",
       "      <th>creturns</th>\n",
       "      <th>cstrategy</th>\n",
       "      <th>cstrategy_net</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",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-02-21</th>\n",
       "      <td>79.654999</td>\n",
       "      <td>80.112503</td>\n",
       "      <td>77.625000</td>\n",
       "      <td>78.262497</td>\n",
       "      <td>77.528809</td>\n",
       "      <td>129554000</td>\n",
       "      <td>80.010514</td>\n",
       "      <td>79.714204</td>\n",
       "      <td>0.296309</td>\n",
       "      <td>0.495721</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.022895</td>\n",
       "      <td>0.022895</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.022895</td>\n",
       "      <td>0.977365</td>\n",
       "      <td>1.023159</td>\n",
       "      <td>1.023159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>74.315002</td>\n",
       "      <td>76.044998</td>\n",
       "      <td>72.307503</td>\n",
       "      <td>74.544998</td>\n",
       "      <td>73.846161</td>\n",
       "      <td>222195200</td>\n",
       "      <td>79.167605</td>\n",
       "      <td>79.305719</td>\n",
       "      <td>-0.138114</td>\n",
       "      <td>0.357041</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.048666</td>\n",
       "      <td>0.048666</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.048666</td>\n",
       "      <td>0.930940</td>\n",
       "      <td>1.074183</td>\n",
       "      <td>1.074183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-25</th>\n",
       "      <td>75.237503</td>\n",
       "      <td>75.632500</td>\n",
       "      <td>71.532501</td>\n",
       "      <td>72.019997</td>\n",
       "      <td>71.344841</td>\n",
       "      <td>230673600</td>\n",
       "      <td>78.065694</td>\n",
       "      <td>78.732816</td>\n",
       "      <td>-0.667122</td>\n",
       "      <td>0.137094</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.034459</td>\n",
       "      <td>0.034459</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.034459</td>\n",
       "      <td>0.899407</td>\n",
       "      <td>1.111844</td>\n",
       "      <td>1.111844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-26</th>\n",
       "      <td>71.632500</td>\n",
       "      <td>74.470001</td>\n",
       "      <td>71.625000</td>\n",
       "      <td>73.162498</td>\n",
       "      <td>72.476631</td>\n",
       "      <td>198054800</td>\n",
       "      <td>77.310033</td>\n",
       "      <td>78.296789</td>\n",
       "      <td>-0.986756</td>\n",
       "      <td>-0.100752</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.015739</td>\n",
       "      <td>-0.015739</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.015739</td>\n",
       "      <td>0.913675</td>\n",
       "      <td>1.094481</td>\n",
       "      <td>1.094481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-27</th>\n",
       "      <td>70.275002</td>\n",
       "      <td>71.500000</td>\n",
       "      <td>68.239998</td>\n",
       "      <td>68.379997</td>\n",
       "      <td>67.738968</td>\n",
       "      <td>320605600</td>\n",
       "      <td>75.934144</td>\n",
       "      <td>77.523783</td>\n",
       "      <td>-1.589639</td>\n",
       "      <td>-0.412228</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.067603</td>\n",
       "      <td>0.067603</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.067603</td>\n",
       "      <td>0.853949</td>\n",
       "      <td>1.171030</td>\n",
       "      <td>1.171030</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-22</th>\n",
       "      <td>128.009995</td>\n",
       "      <td>129.720001</td>\n",
       "      <td>125.599998</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>125.786346</td>\n",
       "      <td>103916400</td>\n",
       "      <td>132.122755</td>\n",
       "      <td>132.843039</td>\n",
       "      <td>-0.720284</td>\n",
       "      <td>0.604696</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.030252</td>\n",
       "      <td>0.030252</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.030252</td>\n",
       "      <td>1.573525</td>\n",
       "      <td>1.422489</td>\n",
       "      <td>1.418908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-23</th>\n",
       "      <td>123.760002</td>\n",
       "      <td>126.709999</td>\n",
       "      <td>118.389999</td>\n",
       "      <td>125.860001</td>\n",
       "      <td>125.646584</td>\n",
       "      <td>158273000</td>\n",
       "      <td>131.159255</td>\n",
       "      <td>132.325777</td>\n",
       "      <td>-1.166523</td>\n",
       "      <td>0.250452</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.001112</td>\n",
       "      <td>0.001112</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.001112</td>\n",
       "      <td>1.571777</td>\n",
       "      <td>1.424071</td>\n",
       "      <td>1.420487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-24</th>\n",
       "      <td>124.940002</td>\n",
       "      <td>125.559998</td>\n",
       "      <td>122.230003</td>\n",
       "      <td>125.349998</td>\n",
       "      <td>125.137444</td>\n",
       "      <td>111039900</td>\n",
       "      <td>130.265523</td>\n",
       "      <td>131.809053</td>\n",
       "      <td>-1.543530</td>\n",
       "      <td>-0.108344</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.004060</td>\n",
       "      <td>0.004060</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.004060</td>\n",
       "      <td>1.565407</td>\n",
       "      <td>1.429865</td>\n",
       "      <td>1.426266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-25</th>\n",
       "      <td>124.680000</td>\n",
       "      <td>126.459999</td>\n",
       "      <td>120.540001</td>\n",
       "      <td>120.989998</td>\n",
       "      <td>120.784836</td>\n",
       "      <td>148199500</td>\n",
       "      <td>128.838519</td>\n",
       "      <td>131.007641</td>\n",
       "      <td>-2.169122</td>\n",
       "      <td>-0.520500</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.035402</td>\n",
       "      <td>0.035402</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.035402</td>\n",
       "      <td>1.510959</td>\n",
       "      <td>1.481392</td>\n",
       "      <td>1.477663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-26</th>\n",
       "      <td>122.589996</td>\n",
       "      <td>124.849998</td>\n",
       "      <td>121.199997</td>\n",
       "      <td>121.260002</td>\n",
       "      <td>121.054382</td>\n",
       "      <td>164560400</td>\n",
       "      <td>127.672593</td>\n",
       "      <td>130.285594</td>\n",
       "      <td>-2.613001</td>\n",
       "      <td>-0.939000</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.002229</td>\n",
       "      <td>-0.002229</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.002229</td>\n",
       "      <td>1.514330</td>\n",
       "      <td>1.478093</td>\n",
       "      <td>1.474373</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>257 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2020-02-21   79.654999   80.112503   77.625000   78.262497   77.528809   \n",
       "2020-02-24   74.315002   76.044998   72.307503   74.544998   73.846161   \n",
       "2020-02-25   75.237503   75.632500   71.532501   72.019997   71.344841   \n",
       "2020-02-26   71.632500   74.470001   71.625000   73.162498   72.476631   \n",
       "2020-02-27   70.275002   71.500000   68.239998   68.379997   67.738968   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2021-02-22  128.009995  129.720001  125.599998  126.000000  125.786346   \n",
       "2021-02-23  123.760002  126.709999  118.389999  125.860001  125.646584   \n",
       "2021-02-24  124.940002  125.559998  122.230003  125.349998  125.137444   \n",
       "2021-02-25  124.680000  126.459999  120.540001  120.989998  120.784836   \n",
       "2021-02-26  122.589996  124.849998  121.199997  121.260002  121.054382   \n",
       "\n",
       "               Volume       EMA_S       EMA_L      MACD  MACD_Signal  \\\n",
       "Date                                                                   \n",
       "2020-02-21  129554000   80.010514   79.714204  0.296309     0.495721   \n",
       "2020-02-24  222195200   79.167605   79.305719 -0.138114     0.357041   \n",
       "2020-02-25  230673600   78.065694   78.732816 -0.667122     0.137094   \n",
       "2020-02-26  198054800   77.310033   78.296789 -0.986756    -0.100752   \n",
       "2020-02-27  320605600   75.934144   77.523783 -1.589639    -0.412228   \n",
       "...               ...         ...         ...       ...          ...   \n",
       "2021-02-22  103916400  132.122755  132.843039 -0.720284     0.604696   \n",
       "2021-02-23  158273000  131.159255  132.325777 -1.166523     0.250452   \n",
       "2021-02-24  111039900  130.265523  131.809053 -1.543530    -0.108344   \n",
       "2021-02-25  148199500  128.838519  131.007641 -2.169122    -0.520500   \n",
       "2021-02-26  164560400  127.672593  130.285594 -2.613001    -0.939000   \n",
       "\n",
       "            position   returns  strategy  trades  strategy_net  creturns  \\\n",
       "Date                                                                       \n",
       "2020-02-21        -1 -0.022895  0.022895     0.0      0.022895  0.977365   \n",
       "2020-02-24        -1 -0.048666  0.048666     0.0      0.048666  0.930940   \n",
       "2020-02-25        -1 -0.034459  0.034459     0.0      0.034459  0.899407   \n",
       "2020-02-26        -1  0.015739 -0.015739     0.0     -0.015739  0.913675   \n",
       "2020-02-27        -1 -0.067603  0.067603     0.0      0.067603  0.853949   \n",
       "...              ...       ...       ...     ...           ...       ...   \n",
       "2021-02-22        -1 -0.030252  0.030252     0.0      0.030252  1.573525   \n",
       "2021-02-23        -1 -0.001112  0.001112     0.0      0.001112  1.571777   \n",
       "2021-02-24        -1 -0.004060  0.004060     0.0      0.004060  1.565407   \n",
       "2021-02-25        -1 -0.035402  0.035402     0.0      0.035402  1.510959   \n",
       "2021-02-26        -1  0.002229 -0.002229     0.0     -0.002229  1.514330   \n",
       "\n",
       "            cstrategy  cstrategy_net  \n",
       "Date                                  \n",
       "2020-02-21   1.023159       1.023159  \n",
       "2020-02-24   1.074183       1.074183  \n",
       "2020-02-25   1.111844       1.111844  \n",
       "2020-02-26   1.094481       1.094481  \n",
       "2020-02-27   1.171030       1.171030  \n",
       "...               ...            ...  \n",
       "2021-02-22   1.422489       1.418908  \n",
       "2021-02-23   1.424071       1.420487  \n",
       "2021-02-24   1.429865       1.426266  \n",
       "2021-02-25   1.481392       1.477663  \n",
       "2021-02-26   1.478093       1.474373  \n",
       "\n",
       "[257 rows x 18 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[[\"creturns\", \"cstrategy\", \"cstrategy_net\"]].plot(figsize = (12 , 8))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.loc[\"2020\", [\"creturns\", \"cstrategy\", \"cstrategy_net\"]].plot(figsize = (12 , 8))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using the MACDBacktester Class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.optimize import brute\n",
    "plt.style.use(\"seaborn\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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>Date</th>\n",
       "      <th>AUDEUR=X</th>\n",
       "      <th>EURUSD=X</th>\n",
       "      <th>USDGBP=X</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2004-01-01</td>\n",
       "      <td>0.59780</td>\n",
       "      <td>1.258194</td>\n",
       "      <td>0.56016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2004-01-02</td>\n",
       "      <td>0.60314</td>\n",
       "      <td>1.258194</td>\n",
       "      <td>0.55751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2004-01-05</td>\n",
       "      <td>0.60467</td>\n",
       "      <td>1.268698</td>\n",
       "      <td>0.55334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2004-01-06</td>\n",
       "      <td>0.60350</td>\n",
       "      <td>1.272103</td>\n",
       "      <td>0.54906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2004-01-07</td>\n",
       "      <td>0.60728</td>\n",
       "      <td>1.264095</td>\n",
       "      <td>0.55012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4290</th>\n",
       "      <td>2020-06-24</td>\n",
       "      <td>0.61349</td>\n",
       "      <td>1.131235</td>\n",
       "      <td>0.79841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4291</th>\n",
       "      <td>2020-06-25</td>\n",
       "      <td>0.60938</td>\n",
       "      <td>1.125087</td>\n",
       "      <td>0.80561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4292</th>\n",
       "      <td>2020-06-26</td>\n",
       "      <td>0.61373</td>\n",
       "      <td>1.122208</td>\n",
       "      <td>0.80480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4293</th>\n",
       "      <td>2020-06-29</td>\n",
       "      <td>0.61128</td>\n",
       "      <td>1.122586</td>\n",
       "      <td>0.81023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4294</th>\n",
       "      <td>2020-06-30</td>\n",
       "      <td>0.61097</td>\n",
       "      <td>1.124720</td>\n",
       "      <td>0.81231</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4295 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date  AUDEUR=X  EURUSD=X  USDGBP=X\n",
       "0     2004-01-01   0.59780  1.258194   0.56016\n",
       "1     2004-01-02   0.60314  1.258194   0.55751\n",
       "2     2004-01-05   0.60467  1.268698   0.55334\n",
       "3     2004-01-06   0.60350  1.272103   0.54906\n",
       "4     2004-01-07   0.60728  1.264095   0.55012\n",
       "...          ...       ...       ...       ...\n",
       "4290  2020-06-24   0.61349  1.131235   0.79841\n",
       "4291  2020-06-25   0.60938  1.125087   0.80561\n",
       "4292  2020-06-26   0.61373  1.122208   0.80480\n",
       "4293  2020-06-29   0.61128  1.122586   0.81023\n",
       "4294  2020-06-30   0.61097  1.124720   0.81231\n",
       "\n",
       "[4295 rows x 4 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv(\"forex_pairs.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from MACDBacktester import MACDBacktester as MACD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ptc = 0.00007"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester = MACD(\"EURUSD=X\", EMA_S = 12, EMA_L = 26, signal_mw = 9,\n",
    "              start = \"2004-01-01\", end = \"2020-06-30\", tc = ptc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester.test_strategy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester.plot_results()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester.results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester.optimize_parameters((5, 20, 1), (21, 50, 1), (5, 20, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester.plot_results()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__AUD / EUR__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester = MACD(\"AUDEUR=X\", EMA_S = 12, EMA_L = 26, signal_mw = 9, \n",
    "              start = \"2004-01-01\", end = \"2020-06-30\", tc = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester.test_strategy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester.plot_results()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester.optimize_parameters((5, 20, 1), (21, 50, 1), (5, 20, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester.plot_results()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Optimization and Backtesting (2004-2014)__ (\"In-Sample\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester = MACD(\"AUDEUR=X\", EMA_S = 12, EMA_L = 26, signal_mw = 9,\n",
    "              start = \"2004-01-01\", end = \"2014-12-31\", tc = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester.optimize_parameters((5, 20, 1), (21, 50, 1), (5, 20, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester.plot_results()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Forward Testing (2015-2020)__ (\"Out-Sample\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "forwardtester = MACD(\"AUDEUR=X\", EMA_S = 6, EMA_L = 24, signal_mw = 7,\n",
    "                     start = \"2015-01-01\", end = \"2020-06-30\", tc = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "forwardtester.test_strategy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "forwardtester.plot_results()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Alternative Strategies and Interpretations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.optimize import brute\n",
    "plt.style.use(\"seaborn\")\n",
    "from MACDBacktester import MACDBacktester as MACD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tester = MACD(\"EURUSD=X\", EMA_S = 12, EMA_L = 26, signal_mw = 9,\n",
    "              start = \"2004-01-01\", end = \"2020-06-30\", tc = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "alt = tester.data.dropna()\n",
    "alt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Main Strategy: MACD Signal Line Crossover__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "alt.loc[\"2016\", [\"MACD\", \"MACD_Signal\"]].plot(figsize = (12, 8))\n",
    "#plt.hlines(y = 0, xmin = alt.index[0], xmax = alt.index[-1], color = \"r\", label = \"Zero\")\n",
    "plt.title(\"Signal Line Crossover\", fontsize = 15)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Alternative 1: Zero Crossover__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "alt.loc[\"2016\", \"MACD\"].plot(figsize = (12, 8))\n",
    "plt.hlines(y = 0, xmin = alt.index[0], xmax = alt.index[-1], color = \"r\", label = \"Zero\")\n",
    "plt.title(\"Zero Crossover\", fontsize = 15)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Alternative 2: Divergence__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convergence: \n",
    "- if __Price__ reaches __higher highs__ -> __MACD__ reaches __higher highs__ (confirmation)\n",
    "- if __Price__ reaches __lower lows__ -> __MACD__ reaches __lower lows__ (confirmation) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "alt.loc[\"03-2013\":\"06-2013\", [\"price\", \"MACD\"]].plot(figsize = (12, 8), secondary_y = \"MACD\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Divergence: \n",
    "- if __Price__ reaches __higher highs__ -> __MACD fails__ to reach higher highs (__Bearish Divergence__)\n",
    "- if __Price__ reaches __lower lows__ -> __MACD fails__ to reach lower lows (__Bullish Divergence__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "alt.loc[\"03-2016\":\"06-2016\", [\"price\", \"MACD\"]].plot(figsize = (12, 8), secondary_y = \"MACD\")\n",
    "plt.title(\"Bearish Divergence\", fontsize = 15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "alt.loc[\"05-2012\":\"11-2012\", [\"price\", \"MACD\"]].plot(figsize = (12, 8), secondary_y = \"MACD\")\n",
    "plt.title(\"Bullish Divergence\", fontsize = 15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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