backtester.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>PAIRS TRADING BACKTESTER</h1>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4>The porpouse of this repository is to backtest currencies catched from research</h4>\n",
    "\n",
    "<quote><i>*If you want to know how Research works, please visit my <a href=https://github.com/Algo-Tradings/pairs-trading-research/blob/main/researcher.ipynb>previous notebook</a> which contains more details.</i></quote>  \n",
    "\n",
    "<quote><i>*If you don't know Pairs Trading yet, please check <a href=https://github.com/Algo-Tradings> my Github profile </a> to know more.</i></quote>  \n",
    "\n",
    "<quote><i>**The backtesting result also generate a file. That way you could use it as you wish, or even in another repos of myself.</i></quote>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>1. Run Once </h3> \n",
    "install necessary packages.\n",
    "After that, you need comment the above part of code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "!{sys.executable} -m pip install numpy\n",
    "!{sys.executable} -m pip install pandas\n",
    "!{sys.executable} -m pip install matplotlib==3.2.2\n",
    "!{sys.executable} -m pip install sklearn\n",
    "!{sys.executable} -m pip install backtrader\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>2. Imports </h3>\n",
    "get classes of this system"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from research import Researcher\n",
    "from backtester import Backtester"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>3. Researching </h3> \n",
    "Retrieve the highest correlated and cointegrated pairs.\n",
    "Meaning potential profit for pairs trading strategy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "        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>Currency1</th>\n",
       "      <th>Currency2</th>\n",
       "      <th>Correlation</th>\n",
       "      <th>Cointegration</th>\n",
       "      <th>Criticals</th>\n",
       "      <th>Ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MANAUSDT</td>\n",
       "      <td>SANDUSDT</td>\n",
       "      <td>0.891425</td>\n",
       "      <td>-4.170537</td>\n",
       "      <td>-3.926781</td>\n",
       "      <td>0.865420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>THETAUSDT</td>\n",
       "      <td>ALICEUSDT</td>\n",
       "      <td>0.851207</td>\n",
       "      <td>-4.112651</td>\n",
       "      <td>-3.926781</td>\n",
       "      <td>0.620324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ENJUSDT</td>\n",
       "      <td>WAXPUSDT</td>\n",
       "      <td>0.845261</td>\n",
       "      <td>-5.504861</td>\n",
       "      <td>-3.926781</td>\n",
       "      <td>5.520958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>RUNEUSDT</td>\n",
       "      <td>UNIUSDT</td>\n",
       "      <td>0.843937</td>\n",
       "      <td>-4.929653</td>\n",
       "      <td>-3.926781</td>\n",
       "      <td>0.275689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IOTXUSDT</td>\n",
       "      <td>ALICEUSDT</td>\n",
       "      <td>0.843327</td>\n",
       "      <td>-4.080353</td>\n",
       "      <td>-3.926781</td>\n",
       "      <td>0.015930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>STMXUSDT</td>\n",
       "      <td>WAXPUSDT</td>\n",
       "      <td>0.838599</td>\n",
       "      <td>-5.664556</td>\n",
       "      <td>-3.926781</td>\n",
       "      <td>0.082814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>IOTXUSDT</td>\n",
       "      <td>TLMUSDT</td>\n",
       "      <td>0.836620</td>\n",
       "      <td>-4.805823</td>\n",
       "      <td>-3.926781</td>\n",
       "      <td>1.251316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>COMPUSDT</td>\n",
       "      <td>AAVEUSDT</td>\n",
       "      <td>0.833413</td>\n",
       "      <td>-4.104110</td>\n",
       "      <td>-3.926781</td>\n",
       "      <td>0.625436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>IOTAUSDT</td>\n",
       "      <td>ZENUSDT</td>\n",
       "      <td>0.832612</td>\n",
       "      <td>-4.588881</td>\n",
       "      <td>-3.926781</td>\n",
       "      <td>0.019034</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Currency1  Currency2  Correlation  Cointegration  Criticals     Ratio\n",
       "0   MANAUSDT   SANDUSDT     0.891425      -4.170537  -3.926781  0.865420\n",
       "1  THETAUSDT  ALICEUSDT     0.851207      -4.112651  -3.926781  0.620324\n",
       "2    ENJUSDT   WAXPUSDT     0.845261      -5.504861  -3.926781  5.520958\n",
       "3   RUNEUSDT    UNIUSDT     0.843937      -4.929653  -3.926781  0.275689\n",
       "4   IOTXUSDT  ALICEUSDT     0.843327      -4.080353  -3.926781  0.015930\n",
       "5   STMXUSDT   WAXPUSDT     0.838599      -5.664556  -3.926781  0.082814\n",
       "6   IOTXUSDT    TLMUSDT     0.836620      -4.805823  -3.926781  1.251316\n",
       "7   COMPUSDT   AAVEUSDT     0.833413      -4.104110  -3.926781  0.625436\n",
       "8   IOTAUSDT    ZENUSDT     0.832612      -4.588881  -3.926781  0.019034"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_coins = Researcher()\n",
    "best_coins.load_data()\n",
    "# best_coins.update_data(timeframe='1d', interval='1 years ago', min_correlation=0.83) # uncomment to update data (may take some time)\n",
    "best_coins.researched_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>4. Backtesting </h3> \n",
    "Get results for each pairs combination."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>n_trades</th>\n",
       "      <th>won</th>\n",
       "      <th>win_rate</th>\n",
       "      <th>roi</th>\n",
       "      <th>sharperatio</th>\n",
       "      <th>drawdown</th>\n",
       "      <th>currency1</th>\n",
       "      <th>currency2</th>\n",
       "      <th>ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>55.56</td>\n",
       "      <td>9.49</td>\n",
       "      <td>0.51</td>\n",
       "      <td>2.02</td>\n",
       "      <td>MANAUSDT</td>\n",
       "      <td>SANDUSDT</td>\n",
       "      <td>0.865420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>38</td>\n",
       "      <td>27</td>\n",
       "      <td>71.05</td>\n",
       "      <td>44.64</td>\n",
       "      <td>7.42</td>\n",
       "      <td>0.65</td>\n",
       "      <td>THETAUSDT</td>\n",
       "      <td>ALICEUSDT</td>\n",
       "      <td>0.620324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>46</td>\n",
       "      <td>27</td>\n",
       "      <td>58.70</td>\n",
       "      <td>89.40</td>\n",
       "      <td>1.12</td>\n",
       "      <td>7.03</td>\n",
       "      <td>ENJUSDT</td>\n",
       "      <td>WAXPUSDT</td>\n",
       "      <td>5.520958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "      <td>60.00</td>\n",
       "      <td>-5.91</td>\n",
       "      <td>-0.95</td>\n",
       "      <td>5.74</td>\n",
       "      <td>RUNEUSDT</td>\n",
       "      <td>UNIUSDT</td>\n",
       "      <td>0.275689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>24</td>\n",
       "      <td>16</td>\n",
       "      <td>66.67</td>\n",
       "      <td>34.21</td>\n",
       "      <td>2.85</td>\n",
       "      <td>3.80</td>\n",
       "      <td>IOTXUSDT</td>\n",
       "      <td>ALICEUSDT</td>\n",
       "      <td>0.015930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>136</td>\n",
       "      <td>70</td>\n",
       "      <td>51.47</td>\n",
       "      <td>70.75</td>\n",
       "      <td>1.44</td>\n",
       "      <td>8.44</td>\n",
       "      <td>STMXUSDT</td>\n",
       "      <td>WAXPUSDT</td>\n",
       "      <td>0.082814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32</td>\n",
       "      <td>19</td>\n",
       "      <td>59.38</td>\n",
       "      <td>0.10</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>7.04</td>\n",
       "      <td>IOTXUSDT</td>\n",
       "      <td>TLMUSDT</td>\n",
       "      <td>1.251316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>51</td>\n",
       "      <td>33</td>\n",
       "      <td>64.71</td>\n",
       "      <td>-2.43</td>\n",
       "      <td>0.33</td>\n",
       "      <td>15.70</td>\n",
       "      <td>COMPUSDT</td>\n",
       "      <td>AAVEUSDT</td>\n",
       "      <td>0.625436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>33</td>\n",
       "      <td>16</td>\n",
       "      <td>48.48</td>\n",
       "      <td>1.68</td>\n",
       "      <td>0.04</td>\n",
       "      <td>20.29</td>\n",
       "      <td>IOTAUSDT</td>\n",
       "      <td>ZENUSDT</td>\n",
       "      <td>0.019034</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   n_trades  won  win_rate    roi  sharperatio  drawdown  currency1  \\\n",
       "0        18   10     55.56   9.49         0.51      2.02   MANAUSDT   \n",
       "0        38   27     71.05  44.64         7.42      0.65  THETAUSDT   \n",
       "0        46   27     58.70  89.40         1.12      7.03    ENJUSDT   \n",
       "0        15    9     60.00  -5.91        -0.95      5.74   RUNEUSDT   \n",
       "0        24   16     66.67  34.21         2.85      3.80   IOTXUSDT   \n",
       "0       136   70     51.47  70.75         1.44      8.44   STMXUSDT   \n",
       "0        32   19     59.38   0.10        -0.02      7.04   IOTXUSDT   \n",
       "0        51   33     64.71  -2.43         0.33     15.70   COMPUSDT   \n",
       "0        33   16     48.48   1.68         0.04     20.29   IOTAUSDT   \n",
       "\n",
       "   currency2     ratio  \n",
       "0   SANDUSDT  0.865420  \n",
       "0  ALICEUSDT  0.620324  \n",
       "0   WAXPUSDT  5.520958  \n",
       "0    UNIUSDT  0.275689  \n",
       "0  ALICEUSDT  0.015930  \n",
       "0   WAXPUSDT  0.082814  \n",
       "0    TLMUSDT  1.251316  \n",
       "0   AAVEUSDT  0.625436  \n",
       "0    ZENUSDT  0.019034  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "backtest = Backtester()\n",
    "backtest.read_data(best_coins)\n",
    "backtest.run_backtest()\n",
    "backtest.backtested_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>4. Try Yourself </h3> \n",
    "To see graphical results\n",
    "Initial cash is 1000 USD."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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' +\n        'text-align: center; padding: 3px;\"/>');\n    titlebar.append(titletext)\n    this.root.append(titlebar);\n    this.header = titletext[0];\n}\n\n\n\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.figure.prototype._init_canvas = function() {\n    var fig = this;\n\n    var canvas_div = $('<div/>');\n\n    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n\n    function canvas_keyboard_event(event) {\n        return fig.key_event(event, event['data']);\n    }\n\n    canvas_div.keydown('key_press', canvas_keyboard_event);\n    canvas_div.keyup('key_release', canvas_keyboard_event);\n    this.canvas_div = canvas_div\n    this._canvas_extra_style(canvas_div)\n    this.root.append(canvas_div);\n\n    var canvas = $('<canvas/>');\n    canvas.addClass('mpl-canvas');\n    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n\n    this.canvas = canvas[0];\n    this.context = canvas[0].getContext(\"2d\");\n\n    var backingStore = this.context.backingStorePixelRatio ||\n\tthis.context.webkitBackingStorePixelRatio ||\n\tthis.context.mozBackingStorePixelRatio ||\n\tthis.context.msBackingStorePixelRatio ||\n\tthis.context.oBackingStorePixelRatio ||\n\tthis.context.backingStorePixelRatio || 1;\n\n    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n\n    var rubberband = $('<canvas/>');\n    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n\n    var pass_mouse_events = true;\n\n    canvas_div.resizable({\n        start: function(event, ui) {\n            pass_mouse_events = false;\n        },\n        resize: function(event, ui) {\n            fig.request_resize(ui.size.width, ui.size.height);\n        },\n        stop: function(event, ui) {\n            pass_mouse_events = true;\n            fig.request_resize(ui.size.width, ui.size.height);\n        },\n    });\n\n    function mouse_event_fn(event) {\n        if (pass_mouse_events)\n            return fig.mouse_event(event, event['data']);\n    }\n\n    rubberband.mousedown('button_press', mouse_event_fn);\n    rubberband.mouseup('button_release', mouse_event_fn);\n    // Throttle sequential mouse events to 1 every 20ms.\n    rubberband.mousemove('motion_notify', mouse_event_fn);\n\n    rubberband.mouseenter('figure_enter', mouse_event_fn);\n    rubberband.mouseleave('figure_leave', mouse_event_fn);\n\n    canvas_div.on(\"wheel\", function (event) {\n        event = event.originalEvent;\n        event['data'] = 'scroll'\n        if (event.deltaY < 0) {\n            event.step = 1;\n        } else {\n            event.step = -1;\n        }\n        mouse_event_fn(event);\n    });\n\n    canvas_div.append(canvas);\n    canvas_div.append(rubberband);\n\n    this.rubberband = rubberband;\n    this.rubberband_canvas = rubberband[0];\n    this.rubberband_context = rubberband[0].getContext(\"2d\");\n    this.rubberband_context.strokeStyle = \"#000000\";\n\n    this._resize_canvas = function(width, height) {\n        // Keep the size of the canvas, canvas container, and rubber band\n        // canvas in synch.\n        canvas_div.css('width', width)\n        canvas_div.css('height', height)\n\n        canvas.attr('width', width * mpl.ratio);\n        canvas.attr('height', height * mpl.ratio);\n        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n\n        rubberband.attr('width', width);\n        rubberband.attr('height', height);\n    }\n\n    // Set the figure to an initial 600x600px, this will subsequently be updated\n    // upon first draw.\n    this._resize_canvas(600, 600);\n\n    // Disable right mouse context menu.\n    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n        return false;\n    });\n\n    function set_focus () {\n        canvas.focus();\n        canvas_div.focus();\n    }\n\n    window.setTimeout(set_focus, 100);\n}\n\nmpl.figure.prototype._init_toolbar = function() {\n    var fig = this;\n\n    var nav_element = $('<div/>');\n    nav_element.attr('style', 'width: 100%');\n    this.root.append(nav_element);\n\n    // Define a callback function for later on.\n    function toolbar_event(event) {\n        return fig.toolbar_button_onclick(event['data']);\n    }\n    function toolbar_mouse_event(event) {\n        return fig.toolbar_button_onmouseover(event['data']);\n    }\n\n    for(var toolbar_ind in mpl.toolbar_items) {\n        var name = mpl.toolbar_items[toolbar_ind][0];\n        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n        var image = mpl.toolbar_items[toolbar_ind][2];\n        var method_name = mpl.toolbar_items[toolbar_ind][3];\n\n        if (!name) {\n            // put a spacer in here.\n            continue;\n        }\n        var button = $('<button/>');\n        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n                        'ui-button-icon-only');\n        button.attr('role', 'button');\n        button.attr('aria-disabled', 'false');\n        button.click(method_name, toolbar_event);\n        button.mouseover(tooltip, toolbar_mouse_event);\n\n        var icon_img = $('<span/>');\n        icon_img.addClass('ui-button-icon-primary ui-icon');\n        icon_img.addClass(image);\n        icon_img.addClass('ui-corner-all');\n\n        var tooltip_span = $('<span/>');\n        tooltip_span.addClass('ui-button-text');\n        tooltip_span.html(tooltip);\n\n        button.append(icon_img);\n        button.append(tooltip_span);\n\n        nav_element.append(button);\n    }\n\n    var fmt_picker_span = $('<span/>');\n\n    var fmt_picker = $('<select/>');\n    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n    fmt_picker_span.append(fmt_picker);\n    nav_element.append(fmt_picker_span);\n    this.format_dropdown = fmt_picker[0];\n\n    for (var ind in mpl.extensions) {\n        var fmt = mpl.extensions[ind];\n        var option = $(\n            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n        fmt_picker.append(option);\n    }\n\n    // Add hover states to the ui-buttons\n    $( \".ui-button\" ).hover(\n        function() { $(this).addClass(\"ui-state-hover\");},\n        function() { $(this).removeClass(\"ui-state-hover\");}\n    );\n\n    var status_bar = $('<span class=\"mpl-message\"/>');\n    nav_element.append(status_bar);\n    this.message = status_bar[0];\n}\n\nmpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n    // which will in turn request a refresh of the image.\n    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n}\n\nmpl.figure.prototype.send_message = function(type, properties) {\n    properties['type'] = type;\n    properties['figure_id'] = this.id;\n    this.ws.send(JSON.stringify(properties));\n}\n\nmpl.figure.prototype.send_draw_message = function() {\n    if (!this.waiting) {\n        this.waiting = true;\n        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n    }\n}\n\n\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    var format_dropdown = fig.format_dropdown;\n    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n    fig.ondownload(fig, format);\n}\n\n\nmpl.figure.prototype.handle_resize = function(fig, msg) {\n    var size = msg['size'];\n    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n        fig._resize_canvas(size[0], size[1]);\n        fig.send_message(\"refresh\", {});\n    };\n}\n\nmpl.figure.prototype.handle_rubberband = function(fig, msg) {\n    var x0 = msg['x0'] / mpl.ratio;\n    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n    var x1 = msg['x1'] / mpl.ratio;\n    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n    x0 = Math.floor(x0) + 0.5;\n    y0 = Math.floor(y0) + 0.5;\n    x1 = Math.floor(x1) + 0.5;\n    y1 = Math.floor(y1) + 0.5;\n    var min_x = Math.min(x0, x1);\n    var min_y = Math.min(y0, y1);\n    var width = Math.abs(x1 - x0);\n    var height = Math.abs(y1 - y0);\n\n    fig.rubberband_context.clearRect(\n        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n\n    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n}\n\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.figure.prototype.handle_cursor = function(fig, msg) {\n    var cursor = msg['cursor'];\n    switch(cursor)\n    {\n    case 0:\n        cursor = 'pointer';\n        break;\n    case 1:\n        cursor = 'default';\n        break;\n    case 2:\n        cursor = 'crosshair';\n        break;\n    case 3:\n        cursor = 'move';\n        break;\n    }\n    fig.rubberband_canvas.style.cursor = cursor;\n}\n\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.figure.prototype.updated_canvas_event = function() {\n    // Called whenever the canvas gets updated.\n    this.send_message(\"ack\", {});\n}\n\n// A function to construct a web socket function for onmessage handling.\n// Called in the figure constructor.\nmpl.figure.prototype._make_on_message_function = function(fig) {\n    return function socket_on_message(evt) {\n        if (evt.data instanceof Blob) {\n            /* FIXME: We get \"Resource interpreted as Image but\n             * transferred with MIME type text/plain:\" errors on\n             * Chrome.  But how to set the MIME type?  It doesn't seem\n             * to be part of the websocket stream */\n            evt.data.type = \"image/png\";\n\n            /* Free the memory for the previous frames */\n            if (fig.imageObj.src) {\n                (window.URL || window.webkitURL).revokeObjectURL(\n                    fig.imageObj.src);\n            }\n\n            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n                evt.data);\n            fig.updated_canvas_event();\n            fig.waiting = false;\n            return;\n        }\n        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n            fig.imageObj.src = evt.data;\n            fig.updated_canvas_event();\n            fig.waiting = false;\n            return;\n        }\n\n        var msg = JSON.parse(evt.data);\n        var msg_type = msg['type'];\n\n        // Call the  \"handle_{type}\" callback, which takes\n        // the figure and JSON message as its only arguments.\n        try {\n            var callback = fig[\"handle_\" + msg_type];\n        } catch (e) {\n            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n            return;\n        }\n\n        if (callback) {\n            try {\n                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n                callback(fig, msg);\n            } catch (e) {\n                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n            }\n        }\n    };\n}\n\n// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\nmpl.findpos = function(e) {\n    //this section is from http://www.quirksmode.org/js/events_properties.html\n    var targ;\n    if (!e)\n        e = window.event;\n    if (e.target)\n        targ = e.target;\n    else if (e.srcElement)\n        targ = e.srcElement;\n    if (targ.nodeType == 3) // defeat Safari bug\n        targ = targ.parentNode;\n\n    // jQuery normalizes the pageX and pageY\n    // pageX,Y are the mouse positions relative to the document\n    // offset() returns the position of the element relative to the document\n    var x = e.pageX - $(targ).offset().left;\n    var y = e.pageY - $(targ).offset().top;\n\n    return {\"x\": x, \"y\": y};\n};\n\n/*\n * return a copy of an object with only non-object keys\n * we need this to avoid circular references\n * http://stackoverflow.com/a/24161582/3208463\n */\nfunction simpleKeys (original) {\n  return Object.keys(original).reduce(function (obj, key) {\n    if (typeof original[key] !== 'object')\n        obj[key] = original[key]\n    return obj;\n  }, {});\n}\n\nmpl.figure.prototype.mouse_event = function(event, name) {\n    var canvas_pos = mpl.findpos(event)\n\n    if (name === 'button_press')\n    {\n        this.canvas.focus();\n        this.canvas_div.focus();\n    }\n\n    var x = canvas_pos.x * mpl.ratio;\n    var y = canvas_pos.y * mpl.ratio;\n\n    this.send_message(name, {x: x, y: y, button: event.button,\n                             step: event.step,\n                             guiEvent: simpleKeys(event)});\n\n    /* This prevents the web browser from automatically changing to\n     * the text insertion cursor when the button is pressed.  We want\n     * to control all of the cursor setting manually through the\n     * 'cursor' event from matplotlib */\n    event.preventDefault();\n    return false;\n}\n\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.figure.prototype.key_event = function(event, name) {\n\n    // Prevent repeat events\n    if (name == 'key_press')\n    {\n        if (event.which === this._key)\n            return;\n        else\n            this._key = event.which;\n    }\n    if (name == 'key_release')\n        this._key = null;\n\n    var value = '';\n    if (event.ctrlKey && event.which != 17)\n        value += \"ctrl+\";\n    if (event.altKey && event.which != 18)\n        value += \"alt+\";\n    if (event.shiftKey && event.which != 16)\n        value += \"shift+\";\n\n    value += 'k';\n    value += event.which.toString();\n\n    this._key_event_extra(event, name);\n\n    this.send_message(name, {key: value,\n                             guiEvent: simpleKeys(event)});\n    return false;\n}\n\nmpl.figure.prototype.toolbar_button_onclick = function(name) {\n    if (name == 'download') {\n        this.handle_save(this, null);\n    } else {\n        this.send_message(\"toolbar_button\", {name: name});\n    }\n};\n\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n\nmpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n\nmpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n    // Create a \"websocket\"-like object which calls the given IPython comm\n    // object with the appropriate methods. Currently this is a non binary\n    // socket, so there is still some room for performance tuning.\n    var ws = {};\n\n    ws.close = function() {\n        comm.close()\n    };\n    ws.send = function(m) {\n        //console.log('sending', m);\n        comm.send(m);\n    };\n    // Register the callback with on_msg.\n    comm.on_msg(function(msg) {\n        //console.log('receiving', msg['content']['data'], msg);\n        // Pass the mpl event to the overridden (by mpl) onmessage function.\n        ws.onmessage(msg['content']['data'])\n    });\n    return ws;\n}\n\nmpl.mpl_figure_comm = function(comm, msg) {\n    // This is the function which gets called when the mpl process\n    // starts-up an IPython Comm through the \"matplotlib\" channel.\n\n    var id = msg.content.data.id;\n    // Get hold of the div created by the display call when the Comm\n    // socket was opened in Python.\n    var element = $(\"#\" + id);\n    var ws_proxy = comm_websocket_adapter(comm)\n\n    function ondownload(figure, format) {\n        window.open(figure.imageObj.src);\n    }\n\n    var fig = new mpl.figure(id, ws_proxy,\n                           ondownload,\n                           element.get(0));\n\n    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n    // web socket which is closed, not our websocket->open comm proxy.\n    ws_proxy.onopen();\n\n    fig.parent_element = element.get(0);\n    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n    if (!fig.cell_info) {\n        console.error(\"Failed to find cell for figure\", id, fig);\n        return;\n    }\n\n    var output_index = fig.cell_info[2]\n    var cell = fig.cell_info[0];\n\n};\n\nmpl.figure.prototype.handle_close = function(fig, msg) {\n    var width = fig.canvas.width/mpl.ratio\n    fig.root.unbind('remove')\n\n    // Update the output cell to use the data from the current canvas.\n    fig.push_to_output();\n    var dataURL = fig.canvas.toDataURL();\n    // Re-enable the keyboard manager in IPython - without this line, in FF,\n    // the notebook keyboard shortcuts fail.\n    IPython.keyboard_manager.enable()\n    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n    fig.close_ws(fig, msg);\n}\n\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.figure.prototype.push_to_output = function(remove_interactive) {\n    // Turn the data on the canvas into data in the output cell.\n    var width = this.canvas.width/mpl.ratio\n    var dataURL = this.canvas.toDataURL();\n    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n}\n\nmpl.figure.prototype.updated_canvas_event = function() {\n    // Tell IPython that the notebook contents must change.\n    IPython.notebook.set_dirty(true);\n    this.send_message(\"ack\", {});\n    var fig = this;\n    // Wait a second, then push the new image to the DOM so\n    // that it is saved nicely (might be nice to debounce this).\n    setTimeout(function () { fig.push_to_output() }, 1000);\n}\n\nmpl.figure.prototype._init_toolbar = function() {\n    var fig = this;\n\n    var nav_element = $('<div/>');\n    nav_element.attr('style', 'width: 100%');\n    this.root.append(nav_element);\n\n    // Define a callback function for later on.\n    function toolbar_event(event) {\n        return fig.toolbar_button_onclick(event['data']);\n    }\n    function toolbar_mouse_event(event) {\n        return fig.toolbar_button_onmouseover(event['data']);\n    }\n\n    for(var toolbar_ind in mpl.toolbar_items){\n        var name = mpl.toolbar_items[toolbar_ind][0];\n        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n        var image = mpl.toolbar_items[toolbar_ind][2];\n        var method_name = mpl.toolbar_items[toolbar_ind][3];\n\n        if (!name) { continue; };\n\n        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n        button.click(method_name, toolbar_event);\n        button.mouseover(tooltip, toolbar_mouse_event);\n        nav_element.append(button);\n    }\n\n    // Add the status bar.\n    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n    nav_element.append(status_bar);\n    this.message = status_bar[0];\n\n    // Add the close button to the window.\n    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n    button.click(function (evt) { fig.handle_close(fig, {}); } );\n    button.mouseover('Stop Interaction', toolbar_mouse_event);\n    buttongrp.append(button);\n    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n    titlebar.prepend(buttongrp);\n}\n\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.figure.prototype._canvas_extra_style = function(el){\n    // this is important to make the div 'focusable\n    el.attr('tabindex', 0)\n    // reach out to IPython and tell the keyboard manager to turn it's self\n    // off when our div gets focus\n\n    // location in version 3\n    if (IPython.notebook.keyboard_manager) {\n        IPython.notebook.keyboard_manager.register_events(el);\n    }\n    else {\n        // location in version 2\n        IPython.keyboard_manager.register_events(el);\n    }\n\n}\n\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    var manager = IPython.notebook.keyboard_manager;\n    if (!manager)\n        manager = IPython.keyboard_manager;\n\n    // Check for shift+enter\n    if (event.shiftKey && event.which == 13) {\n        this.canvas_div.blur();\n        // select the cell after this one\n        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n        IPython.notebook.select(index + 1);\n    }\n}\n\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.find_output_cell = function(html_output) {\n    // Return the cell and output element which can be found *uniquely* in the notebook.\n    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n    // IPython event is triggered only after the cells have been serialised, which for\n    // our purposes (turning an active figure into a static one), is too late.\n    var cells = IPython.notebook.get_cells();\n    var ncells = cells.length;\n    for (var i=0; i<ncells; i++) {\n        var cell = cells[i];\n        if (cell.cell_type === 'code'){\n            for (var j=0; j<cell.output_area.outputs.length; j++) {\n                var data = cell.output_area.outputs[j];\n                if (data.data) {\n                    // IPython >= 3 moved mimebundle to data attribute of output\n                    data = data.data;\n                }\n                if (data['text/html'] == html_output) {\n                    return [cell, data, j];\n                }\n            }\n        }\n    }\n}\n\n// Register the function which deals with the matplotlib target/channel.\n// The kernel may be null if the page has been refreshed.\nif (IPython.notebook.kernel != null) {\n    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n}\n",
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.9999861283738\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "backtest.plot_backtest('MANAUSDT', 'SANDUSDT', 0.850232)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>5. Considerations</h3>\n",
    "In this backtest we clearly saw that some currencies are really interesting to operate. That way pairs trading strategy could give us consistent profits."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<i>If you want full usage of this backtest, kindly consider visit my others pairs-trading repos.\n",
    "For that strategy I have the research, a dashboard and also a 100% autonomous bot</i>"
   ]
  }
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