stock_yahoo_backtest.ipynb

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        "id": "3nXjiKjgZO-G",
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      },
      "source": [
        "import requests\n",
        "from datetime import datetime"
      ],
      "execution_count": null,
      "outputs": []
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        "iniDate = str(datetime(2016, 1, 25, 0, 0).timestamp())[:-2]\n",
        "endDate = str(datetime(2020, 5, 25, 0, 0).timestamp())[:-2]\n",
        "stockID = '3231'\n",
        "interval = '1d'\n",
        "\n",
        "print(iniDate)\n",
        "print(endDate)\n",
        "url = \"https://query1.finance.yahoo.com/v8/finance/chart/{}.TW?period1={}&period2={}&interval={}\".format(stockID, iniDate, endDate, interval)\n",
        "\n",
        "res = requests.get(url)\n",
        "print(res.text)"
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            "1453680000\n",
            "1590364800\n",
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          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EQATlqTRbhAw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "outputId": "ceb605c9-19f0-4536-bb07-8a9e19927d59"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import json\n",
        "import math\n",
        "\n",
        "data = json.loads(res.text)\n",
        "df = pd.DataFrame(data['chart']['result'][0]['indicators']['quote'][0], index=pd.to_datetime(np.array(data['chart']['result'][0]['timestamp'])*1000*1000*1000))\n",
        "df = df[['open','high','low', 'close']]\n",
        "df.columns = ['Open', 'High', 'Low', 'Close']\n",
        "col = df.columns\n",
        "df[col] = df[col].apply(lambda x:0 if math.isnan(x))\n",
        "df[col] = df[col].apply(pd.to_numeric)\n",
        "\n",
        "df.tail()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
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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",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2020-05-18 01:00:00</th>\n",
              "      <td>27.950001</td>\n",
              "      <td>28.00</td>\n",
              "      <td>27.450001</td>\n",
              "      <td>27.549999</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-05-19 01:00:00</th>\n",
              "      <td>28.100000</td>\n",
              "      <td>28.35</td>\n",
              "      <td>27.799999</td>\n",
              "      <td>28.299999</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-05-20 01:00:00</th>\n",
              "      <td>28.500000</td>\n",
              "      <td>28.60</td>\n",
              "      <td>28.150000</td>\n",
              "      <td>28.150000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-05-21 01:00:00</th>\n",
              "      <td>28.400000</td>\n",
              "      <td>28.50</td>\n",
              "      <td>28.200001</td>\n",
              "      <td>28.350000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-05-22 01:00:00</th>\n",
              "      <td>28.400000</td>\n",
              "      <td>28.40</td>\n",
              "      <td>28.049999</td>\n",
              "      <td>28.400000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                          Open   High        Low      Close\n",
              "2020-05-18 01:00:00  27.950001  28.00  27.450001  27.549999\n",
              "2020-05-19 01:00:00  28.100000  28.35  27.799999  28.299999\n",
              "2020-05-20 01:00:00  28.500000  28.60  28.150000  28.150000\n",
              "2020-05-21 01:00:00  28.400000  28.50  28.200001  28.350000\n",
              "2020-05-22 01:00:00  28.400000  28.40  28.049999  28.400000"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kkzDXelmnf56",
        "colab_type": "text"
      },
      "source": [
        "> ## backtest"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lWGMMPKcn0ES",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 493
        },
        "outputId": "1bd1b546-e042-482b-92f9-229dac76f45d"
      },
      "source": [
        "!pip install backtesting\n",
        "!pip install backtrader"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting backtesting\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/fb/70/6a96dd99120666e8e38f0fbec5e595c864dc4f2e774a8ff3a29b1460e0c7/Backtesting-0.1.7.tar.gz (159kB)\n",
            "\r\u001b[K     |██                              | 10kB 17.3MB/s eta 0:00:01\r\u001b[K     |████                            | 20kB 1.8MB/s eta 0:00:01\r\u001b[K     |██████▏                         | 30kB 2.2MB/s eta 0:00:01\r\u001b[K     |████████▏                       | 40kB 2.5MB/s eta 0:00:01\r\u001b[K     |██████████▎                     | 51kB 2.0MB/s eta 0:00:01\r\u001b[K     |████████████▎                   | 61kB 2.3MB/s eta 0:00:01\r\u001b[K     |██████████████▍                 | 71kB 2.5MB/s eta 0:00:01\r\u001b[K     |████████████████▍               | 81kB 2.7MB/s eta 0:00:01\r\u001b[K     |██████████████████▌             | 92kB 2.9MB/s eta 0:00:01\r\u001b[K     |████████████████████▌           | 102kB 2.8MB/s eta 0:00:01\r\u001b[K     |██████████████████████▋         | 112kB 2.8MB/s eta 0:00:01\r\u001b[K     |████████████████████████▋       | 122kB 2.8MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▊     | 133kB 2.8MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▊   | 143kB 2.8MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▉ | 153kB 2.8MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 163kB 2.8MB/s \n",
            "\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from backtesting) (1.18.4)\n",
            "Requirement already satisfied: pandas!=0.25.0,>=0.25.0 in /usr/local/lib/python3.6/dist-packages (from backtesting) (1.0.3)\n",
            "Requirement already satisfied: bokeh>=1.4.0 in /usr/local/lib/python3.6/dist-packages (from backtesting) (1.4.0)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.6/dist-packages (from pandas!=0.25.0,>=0.25.0->backtesting) (2018.9)\n",
            "Requirement already satisfied: python-dateutil>=2.6.1 in /usr/local/lib/python3.6/dist-packages (from pandas!=0.25.0,>=0.25.0->backtesting) (2.8.1)\n",
            "Requirement already satisfied: pillow>=4.0 in /usr/local/lib/python3.6/dist-packages (from bokeh>=1.4.0->backtesting) (7.0.0)\n",
            "Requirement already satisfied: packaging>=16.8 in /usr/local/lib/python3.6/dist-packages (from bokeh>=1.4.0->backtesting) (20.4)\n",
            "Requirement already satisfied: tornado>=4.3 in /usr/local/lib/python3.6/dist-packages (from bokeh>=1.4.0->backtesting) (4.5.3)\n",
            "Requirement already satisfied: six>=1.5.2 in /usr/local/lib/python3.6/dist-packages (from bokeh>=1.4.0->backtesting) (1.12.0)\n",
            "Requirement already satisfied: Jinja2>=2.7 in /usr/local/lib/python3.6/dist-packages (from bokeh>=1.4.0->backtesting) (2.11.2)\n",
            "Requirement already satisfied: PyYAML>=3.10 in /usr/local/lib/python3.6/dist-packages (from bokeh>=1.4.0->backtesting) (3.13)\n",
            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.6/dist-packages (from packaging>=16.8->bokeh>=1.4.0->backtesting) (2.4.7)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.6/dist-packages (from Jinja2>=2.7->bokeh>=1.4.0->backtesting) (1.1.1)\n",
            "Building wheels for collected packages: backtesting\n",
            "  Building wheel for backtesting (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for backtesting: filename=Backtesting-0.1.7-cp36-none-any.whl size=158342 sha256=b678fad9ae63ed00f0cf4a9b5be581371cc19e7f1bbdfcf65fe13d7cc0c7e268\n",
            "  Stored in directory: /root/.cache/pip/wheels/92/8e/e9/7967f819d04dff0b8fefcb00bda4bc6a326cbd40d9c81d88d7\n",
            "Successfully built backtesting\n",
            "Installing collected packages: backtesting\n",
            "Successfully installed backtesting-0.1.7\n",
            "Collecting backtrader\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/b6/fe/7d61fd1b4fa367f9cd0a8bdd3ef45f7486374b5234d898cf439a097885f8/backtrader-1.9.75.123-py2.py3-none-any.whl (409kB)\n",
            "\u001b[K     |████████████████████████████████| 419kB 2.8MB/s \n",
            "\u001b[?25hInstalling collected packages: backtrader\n",
            "Successfully installed backtrader-1.9.75.123\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "luJviMD3o1gw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 688
        },
        "outputId": "7bf5944b-bbbb-4d4f-bd4c-ceba0f863b93"
      },
      "source": [
        "from backtesting import Backtest\n",
        "from backtesting.lib import SignalStrategy\n",
        "import pandas as pd\n",
        "\n",
        "class Strategy(SignalStrategy):\n",
        "    \n",
        "    n1 = 1\n",
        "    n2 = 60\n",
        "    \n",
        "    def init(self):\n",
        "        super().init()\n",
        "        \n",
        "        # Precompute the two moving averages\n",
        "        close =  pd.Series(self.data.Close)\n",
        "        sma1 = close.rolling(self.n1).mean()\n",
        "        sma2 = close.rolling(self.n2).mean()\n",
        "\n",
        "        # Precompute signal\n",
        "        signal_long = (sma1 > sma2) & (sma1.shift() < sma2.shift())\n",
        "        # signal_short = (sma1 < sma2) & (sma1.shift() > sma2.shift())\n",
        "        \n",
        "        # combine signal\n",
        "        signal = signal_long\n",
        "        # signal[signal_short] = -1\n",
        "        \n",
        "        # add signal\n",
        "        self.set_signal(signal)\n",
        "\n",
        "df = df.dropna()\n",
        "bt = Backtest(df, Strategy)\n",
        "result1 = bt.run()\n",
        "bt.plot()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/backtesting/_plotting.py:44: UserWarning: Jupyter Notebook detected. Setting Bokeh output to notebook. This may not work in Jupyter clients without JavaScript support (e.g. PyCharm, Spyder IDE). Reset with `backtesting.set_bokeh_output(notebook=False)`.\n",
            "  warnings.warn('Jupyter Notebook detected. '\n",
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:32: UserWarning: Superimposed OHLC plot matches the original plot. Skipping.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "(function(root) {\n",
              "  function now() {\n",
              "    return new Date();\n",
              "  }\n",
              "\n",
              "  var force = true;\n",
              "\n",
              "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
              "    root._bokeh_onload_callbacks = [];\n",
              "    root._bokeh_is_loading = undefined;\n",
              "  }\n",
              "\n",
              "  var JS_MIME_TYPE = 'application/javascript';\n",
              "  var HTML_MIME_TYPE = 'text/html';\n",
              "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
              "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
              "\n",
              "  /**\n",
              "   * Render data to the DOM node\n",
              "   */\n",
              "  function render(props, node) {\n",
              "    var script = document.createElement(\"script\");\n",
              "    node.appendChild(script);\n",
              "  }\n",
              "\n",
              "  /**\n",
              "   * Handle when an output is cleared or removed\n",
              "   */\n",
              "  function handleClearOutput(event, handle) {\n",
              "    var cell = handle.cell;\n",
              "\n",
              "    var id = cell.output_area._bokeh_element_id;\n",
              "    var server_id = cell.output_area._bokeh_server_id;\n",
              "    // Clean up Bokeh references\n",
              "    if (id != null && id in Bokeh.index) {\n",
              "      Bokeh.index[id].model.document.clear();\n",
              "      delete Bokeh.index[id];\n",
              "    }\n",
              "\n",
              "    if (server_id !== undefined) {\n",
              "      // Clean up Bokeh references\n",
              "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
              "      cell.notebook.kernel.execute(cmd, {\n",
              "        iopub: {\n",
              "          output: function(msg) {\n",
              "            var id = msg.content.text.trim();\n",
              "            if (id in Bokeh.index) {\n",
              "              Bokeh.index[id].model.document.clear();\n",
              "              delete Bokeh.index[id];\n",
              "            }\n",
              "          }\n",
              "        }\n",
              "      });\n",
              "      // Destroy server and session\n",
              "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
              "      cell.notebook.kernel.execute(cmd);\n",
              "    }\n",
              "  }\n",
              "\n",
              "  /**\n",
              "   * Handle when a new output is added\n",
              "   */\n",
              "  function handleAddOutput(event, handle) {\n",
              "    var output_area = handle.output_area;\n",
              "    var output = handle.output;\n",
              "\n",
              "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
              "    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
              "      return\n",
              "    }\n",
              "\n",
              "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
              "\n",
              "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
              "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
              "      // store reference to embed id on output_area\n",
              "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
              "    }\n",
              "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
              "      var bk_div = document.createElement(\"div\");\n",
              "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
              "      var script_attrs = bk_div.children[0].attributes;\n",
              "      for (var i = 0; i < script_attrs.length; i++) {\n",
              "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
              "      }\n",
              "      // store reference to server id on output_area\n",
              "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
              "    }\n",
              "  }\n",
              "\n",
              "  function register_renderer(events, OutputArea) {\n",
              "\n",
              "    function append_mime(data, metadata, element) {\n",
              "      // create a DOM node to render to\n",
              "      var toinsert = this.create_output_subarea(\n",
              "        metadata,\n",
              "        CLASS_NAME,\n",
              "        EXEC_MIME_TYPE\n",
              "      );\n",
              "      this.keyboard_manager.register_events(toinsert);\n",
              "      // Render to node\n",
              "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
              "      render(props, toinsert[toinsert.length - 1]);\n",
              "      element.append(toinsert);\n",
              "      return toinsert\n",
              "    }\n",
              "\n",
              "    /* Handle when an output is cleared or removed */\n",
              "    events.on('clear_output.CodeCell', handleClearOutput);\n",
              "    events.on('delete.Cell', handleClearOutput);\n",
              "\n",
              "    /* Handle when a new output is added */\n",
              "    events.on('output_added.OutputArea', handleAddOutput);\n",
              "\n",
              "    /**\n",
              "     * Register the mime type and append_mime function with output_area\n",
              "     */\n",
              "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
              "      /* Is output safe? */\n",
              "      safe: true,\n",
              "      /* Index of renderer in `output_area.display_order` */\n",
              "      index: 0\n",
              "    });\n",
              "  }\n",
              "\n",
              "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
              "  if (root.Jupyter !== undefined) {\n",
              "    var events = require('base/js/events');\n",
              "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
              "\n",
              "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
              "      register_renderer(events, OutputArea);\n",
              "    }\n",
              "  }\n",
              "\n",
              "  \n",
              "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
              "    root._bokeh_timeout = Date.now() + 5000;\n",
              "    root._bokeh_failed_load = false;\n",
              "  }\n",
              "\n",
              "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
              "     \"<div style='background-color: #fdd'>\\n\"+\n",
              "     \"<p>\\n\"+\n",
              "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
              "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
              "     \"</p>\\n\"+\n",
              "     \"<ul>\\n\"+\n",
              "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
              "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
              "     \"</ul>\\n\"+\n",
              "     \"<code>\\n\"+\n",
              "     \"from bokeh.resources import INLINE\\n\"+\n",
              "     \"output_notebook(resources=INLINE)\\n\"+\n",
              "     \"</code>\\n\"+\n",
              "     \"</div>\"}};\n",
              "\n",
              "  function display_loaded() {\n",
              "    var el = document.getElementById(null);\n",
              "    if (el != null) {\n",
              "      el.textContent = \"BokehJS is loading...\";\n",
              "    }\n",
              "    if (root.Bokeh !== undefined) {\n",
              "      if (el != null) {\n",
              "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
              "      }\n",
              "    } else if (Date.now() < root._bokeh_timeout) {\n",
              "      setTimeout(display_loaded, 100)\n",
              "    }\n",
              "  }\n",
              "\n",
              "\n",
              "  function run_callbacks() {\n",
              "    try {\n",
              "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
              "        if (callback != null)\n",
              "          callback();\n",
              "      });\n",
              "    } finally {\n",
              "      delete root._bokeh_onload_callbacks\n",
              "    }\n",
              "    console.debug(\"Bokeh: all callbacks have finished\");\n",
              "  }\n",
              "\n",
              "  function load_libs(css_urls, js_urls, callback) {\n",
              "    if (css_urls == null) css_urls = [];\n",
              "    if (js_urls == null) js_urls = [];\n",
              "\n",
              "    root._bokeh_onload_callbacks.push(callback);\n",
              "    if (root._bokeh_is_loading > 0) {\n",
              "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
              "      return null;\n",
              "    }\n",
              "    if (js_urls == null || js_urls.length === 0) {\n",
              "      run_callbacks();\n",
              "      return null;\n",
              "    }\n",
              "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
              "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
              "\n",
              "    function on_load() {\n",
              "      root._bokeh_is_loading--;\n",
              "      if (root._bokeh_is_loading === 0) {\n",
              "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
              "        run_callbacks()\n",
              "      }\n",
              "    }\n",
              "\n",
              "    function on_error() {\n",
              "      console.error(\"failed to load \" + url);\n",
              "    }\n",
              "\n",
              "    for (var i = 0; i < css_urls.length; i++) {\n",
              "      var url = css_urls[i];\n",
              "      const element = document.createElement(\"link\");\n",
              "      element.onload = on_load;\n",
              "      element.onerror = on_error;\n",
              "      element.rel = \"stylesheet\";\n",
              "      element.type = \"text/css\";\n",
              "      element.href = url;\n",
              "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
              "      document.body.appendChild(element);\n",
              "    }\n",
              "\n",
              "    for (var i = 0; i < js_urls.length; i++) {\n",
              "      var url = js_urls[i];\n",
              "      var element = document.createElement('script');\n",
              "      element.onload = on_load;\n",
              "      element.onerror = on_error;\n",
              "      element.async = false;\n",
              "      element.src = url;\n",
              "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
              "      document.head.appendChild(element);\n",
              "    }\n",
              "  };\n",
              "\n",
              "  function inject_raw_css(css) {\n",
              "    const element = document.createElement(\"style\");\n",
              "    element.appendChild(document.createTextNode(css));\n",
              "    document.body.appendChild(element);\n",
              "  }\n",
              "\n",
              "  \n",
              "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.4.0.min.js\"];\n",
              "  var css_urls = [];\n",
              "  \n",
              "\n",
              "  var inline_js = [\n",
              "    function(Bokeh) {\n",
              "      Bokeh.set_log_level(\"info\");\n",
              "    },\n",
              "    function(Bokeh) {\n",
              "    \n",
              "    \n",
              "    }\n",
              "  ];\n",
              "\n",
              "  function run_inline_js() {\n",
              "    \n",
              "    if (root.Bokeh !== undefined || force === true) {\n",
              "      \n",
              "    for (var i = 0; i < inline_js.length; i++) {\n",
              "      inline_js[i].call(root, root.Bokeh);\n",
              "    }\n",
              "    } else if (Date.now() < root._bokeh_timeout) {\n",
              "      setTimeout(run_inline_js, 100);\n",
              "    } else if (!root._bokeh_failed_load) {\n",
              "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
              "      root._bokeh_failed_load = true;\n",
              "    } else if (force !== true) {\n",
              "      var cell = $(document.getElementById(null)).parents('.cell').data().cell;\n",
              "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
              "    }\n",
              "\n",
              "  }\n",
              "\n",
              "  if (root._bokeh_is_loading === 0) {\n",
              "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
              "    run_inline_js();\n",
              "  } else {\n",
              "    load_libs(css_urls, js_urls, function() {\n",
              "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
              "      run_inline_js();\n",
              "    });\n",
              "  }\n",
              "}(window));"
            ],
            "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(null);\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.4.0.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(null)).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
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              "\n",
              "\n",
              "\n",
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27, 0)\",\"rgb(0, 178, 0)\"]},\"id\":\"1041\",\"type\":\"CategoricalColorMapper\"},{\"attributes\":{\"active_drag\":{\"id\":\"1020\",\"type\":\"PanTool\"},\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":{\"id\":\"1021\",\"type\":\"WheelZoomTool\"},\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1020\",\"type\":\"PanTool\"},{\"id\":\"1021\",\"type\":\"WheelZoomTool\"},{\"id\":\"1022\",\"type\":\"BoxZoomTool\"},{\"id\":\"1023\",\"type\":\"UndoTool\"},{\"id\":\"1024\",\"type\":\"RedoTool\"},{\"id\":\"1025\",\"type\":\"ResetTool\"},{\"id\":\"1026\",\"type\":\"CrosshairTool\"},{\"id\":\"1027\",\"type\":\"SaveTool\"},{\"id\":\"1249\",\"type\":\"HoverTool\"}]},\"id\":\"1028\",\"type\":\"Toolbar\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x0\":{\"field\":\"index\"},\"x1\":{\"field\":\"index\"},\"y0\":{\"field\":\"High\"},\"y1\":{\"field\":\"Low\"}},\"id\":\"1226\",\"type\":\"Segment\"},{\"attributes\":{\"dimensions\":\"width\"},\"id\":\"1020\",\"type\":\"PanTool\"},{\"attributes\":{\"line_color\":{\"field\":\"returns_pos\",\"transform\":{\"id\":\"1041\",\"type\":\"CategoricalColorMapper\"}},\"line_dash\":[2,4],\"line_width\":{\"value\":8},\"xs\":{\"field\":\"position_lines_xs\"},\"ys\":{\"field\":\"position_lines_ys\"}},\"id\":\"1235\",\"type\":\"MultiLine\"},{\"attributes\":{\"dimensions\":\"width\",\"maintain_focus\":false},\"id\":\"1021\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"days\":[\"%d %b\",\"%a %d\"],\"months\":[\"%m/%Y\",\"%b'%y\"]},\"id\":\"1042\",\"type\":\"DatetimeTickFormatter\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"line_dash\":[2,4],\"line_width\":{\"value\":8},\"xs\":{\"field\":\"position_lines_xs\"},\"ys\":{\"field\":\"position_lines_ys\"}},\"id\":\"1236\",\"type\":\"MultiLine\"},{\"attributes\":{\"overlay\":{\"id\":\"1244\",\"type\":\"BoxAnnotation\"}},\"id\":\"1022\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"args\":{\"axis\":{\"id\":\"1010\",\"type\":\"LinearAxis\"},\"formatter\":{\"id\":\"1042\",\"type\":\"DatetimeTickFormatter\"},\"source\":{\"id\":\"1037\",\"type\":\"ColumnDataSource\"}},\"code\":\"\\nthis.labels = this.labels || formatter.doFormat(ticks\\n                                                .map(i => source.data.datetime[i])\\n                                                .filter(t => t !== undefined));\\nreturn this.labels[index] || \\\"\\\";\\n        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z9D4oBNphPzP4jn1ec38/I/ao2M39YI8z94v3dwx5zyP3o5ngz2W/I/gRA6+pan8j9RkLgo6KrzP4++cdXYPvM/WCkuceB08z+PvnHV2D7zP0p79pWe3fI/W6NUDQ808z9YKS5x4HTzP3/UOQMRavM/SrkcO0df8z9hevD6r3/zP2bXZUwiDPQ/SD/2nhig8z9CpoBWINbzP1hnVBaJ9vM/Vu0telo39D9ALFq68Rb0P08Wkoy56/M/OVW+zFDL8z9YZ1QWifbzP3bBnR7q4PM/dsGdHurg8z9RkLgo6KrzPzlVvsxQy/M/ItIQspAs9D9W7S16Wjf0P0h9HETBIfQ/ItIQspAs9D9m12VMIgz0P0AsWrrxFvQ/XcTJZ/uC9D9dAvAMpAT1P00YuDrcL/U/MIBIjdLD9D8/aoBfmpj0P13EyWf7gvQ/GL90zWmj9D9N2pGVM670P09UuDFibfQ/T1S4MWJt9D9ALFq68Rb0P0t79pWe3fI/O8/kaH+K8z9/1DkDEWrzP1FSkoM/KfM/QmhasXdU8z8/aoBfmpj0P07akZUzrvQ/MIBIjdLD9D9dxMln+4L0P07akZUzrvQ/XQLwDKQE9T898FnDa9n0Pynn0kTa+fQ/PfBZw2vZ9D8J1Tz7oc70PwnVPPuhzvQ/H9Q2YLNw9T8DITwWEBb3PwMhPBYQFvc/IvWrup+/9j8Nrv6WZV72PxDq/o3rm/U/VO9TKH179T8tgm479Qf2Py2Cbjv1B/Y/RAUcVrWm9T8p59JE2vn0Pz0ugGgUW/U/HVoQxISx9T89LoBoFFv1PzZX5HpzD/U/RMf1sAwl9T9WK1QfA7n0P18+8AMqQvQ/MrxIhFgB9D8yvEiEWAH0P1btLXpaN/Q/EujY38hX9D9ALFq68Rb0PzK8SIRYAfQ/KamsnzF49D9IfRxEwSH0PymprJ8xePQ/ItIQspAs9D8S6NjfyFf0PzK8SIRYAfQ/QqaAViDW8z9PFpKMuevzP1hnVBaJ9vM/MrxIhFgB9D8i0hCykCz0P0AsWrrxFvQ/YADKXoHA8z9PVLgxYm30P0h9HETBIfQ/MrxIhFgB9D85Vb7MUMvzPzvP5Gh/ivM/WGdUFon28z87z+Rof4rzP2F68Pqvf/M/YXrw+q9/8z9/1DkDEWrzP2AAyl6BwPM/QqaAViDW8z9v6gExSZXzP2/qATFJlfM/UZC4KOiq8z8r5ayWt7XzPzvP5Gh/ivM/j75x1dg+8z9qjYzf1gjzP1kpLnHgdPM/dsGdHurg8z9RkLgo6KrzPzlVvsxQy/M/OVW+zFDL8z9gAMpegcDzP3bBnR7q4PM/UZC4KOiq8z8r5ayWt7XzP2AAyl6BwPM/b+oBMUmV8z9oE2ZDqEnzP3/UOQMRavM/aBNmQ6hJ8z9bo1QNDzTzP1JSkoM/KfM/VMy4H27o8j9UzLgfbujyP1TMuB9u6PI/eP2dFXAe8z9UzLgfbujyP5jRDbr/x/I/Y7bw8TW98j9y6NuCJlHyP3Lo24ImUfI/VI6SesVm8j9EpFqo/ZHyP1SOknrFZvI/VI6SesVm8j9Le/aVnt3yP1JSkoM/KfM/QCxauvEW9D8yvEiEWAH0P3bBnR7q4PM/SD/2nhig8z9CaFqxd1TzP2/qATFJlfM/WSkuceB08z87z+Rof4rzPyvlrJa3tfM/YADKXoHA8z9YZ1QWifbzP/yc6sF3a/M/1KuLydsz8z/YO49/WGDzPxZj0yq2gfM/8QF46JZ28z/xAXjolnbzP/yc6sF3a/M/8QF46JZ28z+suizRP/zyP3kuW//Cz/I/YGhyloS58j9d2G7gB43yP06t+FCqa/I/Tq34UKpr8j9SPfwGJ5jyP13YbuAHjfI/dp5XSUaj8j84dxOe6IHyP13YbuAHjfI/dp5XSUaj8j+ej7ZB4tryP56PtkHi2vI/k/RDaAHm8j+Eyc3Yo8TyP4TJzdijxPI/dp5XSUaj8j9d2G7gB43yP06t+FCqa/I/ruh8bzqN8T/LPmmO9c/xP67ofG86jfE/sniAJbe58T/LPmmO9c/xP5UilAb8dvE/IN9606T88D9Ta0ylISnxP14Gv34CHvE/bTE1DmA/8T+H9x13nlXxP20xNQ5gP/E/h/cdd55V8T9hlsI0f0rxP2GWwjR/SvE/bTE1DmA/8T9Ta0ylISnxPyt67ayF8fA/muDnWnM08D/IiCWm87bvP96+Clm1oO8/OR1w8tuK7T9EGpbjPhvvPyfEqcSD2O4/2OHr00tp7j/CqwYhin/uP8KrBiGKf+4/wqsGIYp/7j/Y4evTS2nuPwtuvaXIle4/XFB7lgAF7z8RjsQRwu7uP96+Clm1oO8/YnCCAvpd7z93pme1u0fvP8PRRlMPbPA/3JcvvE2C8D+BGv/xNB7wP5rg51pzNPA/jLVxyxUT8D/NbLks8GDwP75BQ52SP/A/muDnWnM08D/R/LzibI3wP8PRRlMPbPA/gRr/8TQe8D/57RvbCMXwPx1Pdx0o0PA/Xga/fgIe8T/qwqVLq6PwP6gLXurQVfA/5jKilS538D+zptDDsUrwP+YyopUud/A/NhVghmbm8D8reu2shfHwPyDfetOk/PA/IN9606T88D+VIpQG/HbxP4qHIS0bgvE/Xga/fgIe8T/cly+8TYLwP/VdGCWMmPA/zWy5LPBg8D+le1o0VCnwP/VdGCWMmPA/BImOtOm58D8PJAGOyq7wP/VdGCWMmPA/tKbQw7FK8D+pC17q0FXwP7Sm0MOxSvA/pXtaNFQp8D8EiY606bnwP7Sm0MOxSvA/qQte6tBV8D/nMqKVLnfwP/VdGCWMmPA/w9FGUw9s8D/nMqKVLnfwP7Sm0MOxSvA/6sKlS6uj8D/cly+8TYLwPxO0BERH2/A/+e0b2wjF8D8eT3cdKNDwPxO0BERH2/A/Xwa/fgIe8T9Ua0ylISnxP0nQ2ctANPE/lSKUBvx28T98XKudvWDxP3xcq529YPE/fFyrnb1g8T/MPmmO9c/xPzl3E57ogfI/OXcTnuiB8j8bISd/LT/yPzXnD+hrVfI/OXcTnuiB8j815w/oa1XyPytMnQ6LYPI/GyEnfy0/8j8bISd/LT/yPzXnD+hrVfI/K0ydDotg8j9OrfhQqmvyPytMnQ6LYPI/OXcTnuiB8j9SPfwGJ5jyPzl3E57ogfI/Xdhu4AeN8j9EEoZ3yXbyP06t+FCqa/I/Tq34UKpr8j8bISd/LT/yP9pp3x1T8fE/2mnfHVPx8T8nvJlYDjTyPxshJ38tP/I/Tq34UKpr8j//yjpgcvzxPzXnD+hrVfI/Uj38BieY8j93nldJRqPyP2wD5W9lrvI/k/RDaAHm8j/k1gFZOVXzP2ZFkRvu8PM/0307K+Gi9D/TfTsr4aL0P94YrgTCl/Q/BgoN/V3P9D8KmhCz2vv0P2QXQX3zX/U/tfn+bSvP9T+BbS2crqL1P6pejJRK2vU/wyR1/Yjw9T/Ov+fWaeX1P/awRs8FHfY/O/iR5lyX9j8SBzPuwF/2Px2ipcehVPY/3OpdZscG9j+qXoyUStr1P8Mkdf2I8PU/wyR1/Yjw9T/c6l1mxwb2P8Mkdf2I8PU/ps6I3s2t9T8E3LxeYz72P+B6YRxEM/Y/+UBKhYJJ9j+BbS2crqL1P+sV1PUkKPY/9rBGzwUd9j9AtuU61FT1P0C25TrUVPU/UQ+saCwH9D+PNvATiij0P6uM3DJFa/Q/XKoeQg388z8ALe539JfzPxrz1uAyrvM/ZkWRG+7w8z9mRZEb7vDzP3VwB6tLEvQ/ZkWRG+7w8z9RD6xoLAf0P8jiyFEArvQ/dXAHq0sS9D+SxvPJBlX0PwvIYFHVjPM/yhAZ8Po+8z8XY9MqtoHzP2ZFkRvu8PM/TX+osq/a8z8VNYOMu/D0P8niyFEArvQ/4qixuj7E9D/UfTsr4aL0P9R9OyvhovQ/xVLFm4OB9D/J4shRAK70P/DTJ0qc5fQ/BwoN/V3P9D8HCg39Xc/0P/tumiN92vQ/4qixuj7E9D8VNYOMu/D0PxjFhkI4HfU/Lvtr9fkG9T8YxYZCOB31PwqaELPa+/Q/CpoQs9r79D8YxYZCOB31PwqaELPa+/Q/S1FYFLVJ9T89JuKEVyj1P3NCtwxRgfU/gm0tnK6i9T+QmKMrDMT1P5CYoysMxPU/ql6MlEra9T+bMxYF7bj1P7X5/m0rz/U/uIkCJKj79T/eGK4Ewpf0PzKLb6t2M/U/CpoQs9r79D/sQySUH7n0P5LG88kGVfQ/tidPDCZg9D+g8WlZZHb0P3gAC2HIPvQ/g5t9Oqkz9D8oHk1wkM/zPxdj0yq2gfM/2TuPf1hg8z/ZO49/WGDzP/IBeOiWdvM/C8hgUdWM8z+dYWaj50n0P6DxaVlkdvQ/q4zcMkVr9D/FUsWbg4H0P94YrgTCl/Q/I2D5GxkS9T89JuKEVyj1P0C25TrUVPU/S1FYFLVJ9T8YxYZCOB31PzKLb6t2M/U/PSbihFco9T8YxYZCOB31P4JtLZyuovU/aKdEM3CM9T90QrcMUYH1P40IoHWPl/U/jQigdY+X9T+bMxYF7bj1P7X5/m0rz/U/ps6I3s2t9T9kF0F981/1P0tRWBS1SfU/gm0tnK6i9T+qXoyUStr1P6pejJRK2vU/zr/n1mnl9T87+JHmXJf2P1S+ek+brfY/boRjuNnD9j87+JHmXJf2P5CYoysMxPU/HqKlx6FU9j/rFdT1JCj2PyIyqX0egfY/SSMIdrq49j9uhGO42cP2P2Pp8N74zvY/VL56T5ut9j9YTn4FGNr2P26EY7jZw/Y/itpP15QG9z+K2k/XlAb3P3yv2Uc35fY/vmYhqREz9z/MkZc4b1T3Pw5J35lJovc/HHRVKafD9z8rn8u4BOX3P0j1t9e/J/g/EdniT8bO9z81Oj6S5dn3P4Yc/IIdSfg/eoGJqTxU+D+xnV4xNq34P2xWExrfMvg/Aq5swGit9z8R2eJPxs73P7w40QoXovg/YbugQP49+D9I9bfXvyf4P4ms/ziadfg/1v65c1W4+D/Zjr0p0uT4PxpGBYusMvk/Qjdkg0hq+T9RYtoSpov5PzQM7vPqSPk/TdLWXClf+T8l4XdkjSf5PwGAHCJuHPk/GkYFi6wy+T/AyNTAk874P14rnYqBEfg/SPW3178n+D8BgBwibhz5PxpGBYusMvk/GkYFi6wy+T9N0tZcKV/5P03S1lwpX/k/dcM1VcWW+T9qKMN75KH5P4Tuq+QiuPk/rN8K3b7v+T84nPGpZ3X5P4d+r5qf5Pk/rN8K3b7v+T+SGSJ0gNn5P2oow3vkofk/KXF7GgpU+T/+7xhs8e/4PzQM7vPqSPk/AYAcIm4c+T8BgBwibhz5P+MpMAOz2fg/vDjRChei+D+xnV4xNq34P5fXdcj3lvg/eoGJqTxU+D/KY0eadMP4P5RHchJ7avg//e8YbPHv+D/yVKaSEPv4P/JUppIQ+/g/CxuP+04R+T8AgBwibhz5PwCAHCJuHPk/N5zxqWd1+T9QYtoSpov5Pw1J35lJovc/Aq5swGit9z/avA3IzHX3P3qBiak8VPg/R/W3178n+D+hcuih2Iv4P6Fy6KHYi/g/hRz8gh1J+D96gYmpPFT4P6Fy6KHYi/g/l9d1yPeW+D+X13XI95b4P0RltCFD+/c/a1YTGt8y+D+TR3ISe2r4P5NHchJ7avg/YLugQP49+D81Oj6S5dn3PwKubMBorfc/84L2MAuM9z/PIZvu64D3P38/3f2zEfc/wfYkX45f9z8NSd+ZSaL3Pw1J35lJovc/Yunw3vjO9j+3iQIkqPv1P4+YoysMxPU/ft0p5jF29T+6t1LCooz0P1uqHkIN/PM/yhAZ8Po+8z/plFWtsBLyP5UilAb8dvE/muDnWnM08D+yeIAlt7nxPw8kAY7KrvA/NecP6GtV8j+ONvATiij0P/tumiN92vQ/0307K+Gi9D/sQySUH7n0P0tRWBS1SfU/Motvq3Yz9T+pXoyUStr1P82/59Zp5fU/tPn+bSvP9T+PmKMrDMT1P8Ikdf2I8PU/+UBKhYJJ9j+9ZiGpETP3P4raT9eUBvc/bYRjuNnD9j8vXR8NfKL2Pzr4keZcl/Y/uIkCJKj79T/gemEcRDP2Pzr4keZcl/Y/OviR5lyX9j+K2k/XlAb3P8H2JF+OX/c/XSudioER+D+hcuih2Iv4P2tWExrfMvg/UpAqsaAc+D9H9bfXvyf4P10rnYqBEfg/NTo+kuXZ9z9H9bfXvyf4Pyqfy7gE5fc/HwRZ3yPw9z+FHPyCHUn4P5NHchJ7avg/HwRZ3yPw9z+X13XI95b4P4is/ziadfg/uzjRChei+D+xnV4xNq34P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFLNKKMfo/dAUs0oox+j90BSzSijH6P3QFL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(!window._bt_extremes)\\n    window._bt_extremes = function (arr, initial, agg_func) {\\n        const CHUNK = 32768;\\n        let extreme = initial;\\n        for (let i = 0, len = arr.length; i < len; i += CHUNK) {\\n            const subarr = CHUNK >= len ? arr : arr.slice(i, i + CHUNK);\\n            extreme = agg_func(extreme, agg_func.apply(null, subarr));\\n        }\\n        return extreme;\\n    };\\n\\nif (!window._bt_bin_search)\\n    window._bt_bin_search = function (index, value) {\\n        let mid,\\n            min = 0,\\n            max = index.length - 1;\\n\\n        while (min < max) {\\n            mid = (min + max) / 2 | 0;\\n            if (index[mid] < value)\\n                min = mid + 1;\\n            else\\n                max = mid - 1;\\n        }\\n        return min;\\n    };\\n\\nif (!window._bt_scale_range)\\n    window._bt_scale_range = function (range, highs, lows) {\\n        const max = _bt_extremes(highs, -Infinity, Math.max),\\n              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days)\"},\"renderers\":[{\"id\":\"1153\",\"type\":\"GlyphRenderer\"}]},\"id\":\"1171\",\"type\":\"LegendItem\"},{\"attributes\":{\"fill_color\":{\"value\":\"cyan\"},\"line_color\":{\"value\":\"cyan\"},\"size\":{\"units\":\"screen\",\"value\":8},\"x\":{\"value\":340},\"y\":{\"value\":1.637095280632221}},\"id\":\"1096\",\"type\":\"Scatter\"},{\"attributes\":{\"below\":[{\"id\":\"1180\",\"type\":\"LinearAxis\"}],\"center\":[{\"id\":\"1184\",\"type\":\"Grid\"},{\"id\":\"1189\",\"type\":\"Grid\"},{\"id\":\"1207\",\"type\":\"Span\"}],\"left\":[{\"id\":\"1185\",\"type\":\"LinearAxis\"}],\"min_border_bottom\":6,\"min_border_left\":0,\"min_border_right\":10,\"min_border_top\":3,\"outline_line_color\":{\"value\":\"#666666\"},\"plot_height\":90,\"plot_width\":null,\"renderers\":[{\"id\":\"1211\",\"type\":\"GlyphRenderer\"},{\"id\":\"1216\",\"type\":\"GlyphRenderer\"}],\"sizing_mode\":\"stretch_width\",\"title\":{\"id\":\"1275\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"1198\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"1001\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"1176\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"1174\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"1178\",\"type\":\"LinearScale\"}},\"id\":\"1172\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null,\"data\":{},\"selected\":{\"id\":\"1127\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1128\",\"type\":\"UnionRenderers\"}},\"id\":\"1095\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_color\":{\"field\":\"returns_pos\",\"transform\":{\"id\":\"1040\",\"type\":\"CategoricalColorMapper\"}},\"marker\":{\"value\":\"inverted_triangle\"},\"size\":{\"units\":\"screen\",\"value\":13},\"x\":{\"field\":\"index\"},\"y\":{\"field\":\"returns_short\"}},\"id\":\"1214\",\"type\":\"Scatter\"},{\"attributes\":{\"callback\":null},\"id\":\"1174\",\"type\":\"DataRange1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":8},\"x\":{\"value\":340},\"y\":{\"value\":1.637095280632221}},\"id\":\"1097\",\"type\":\"Scatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"marker\":{\"value\":\"inverted_triangle\"},\"size\":{\"units\":\"screen\",\"value\":13},\"x\":{\"field\":\"index\"},\"y\":{\"field\":\"returns_short\"}},\"id\":\"1215\",\"type\":\"Scatter\"},{\"attributes\":{\"data_source\":{\"id\":\"1095\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"1096\",\"type\":\"Scatter\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1097\",\"type\":\"Scatter\"},\"selection_glyph\":null,\"view\":{\"id\":\"1099\",\"type\":\"CDSView\"}},\"id\":\"1098\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"data_source\":{\"id\":\"1038\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"1214\",\"type\":\"Scatter\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1215\",\"type\":\"Scatter\"},\"selection_glyph\":null,\"view\":{\"id\":\"1217\",\"type\":\"CDSView\"}},\"id\":\"1216\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1176\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1178\",\"type\":\"LinearScale\"},{\"attributes\":{\"source\":{\"id\":\"1095\",\"type\":\"ColumnDataSource\"}},\"id\":\"1099\",\"type\":\"CDSView\"},{\"attributes\":{\"source\":{\"id\":\"1038\",\"type\":\"ColumnDataSource\"}},\"id\":\"1217\",\"type\":\"CDSView\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1101\",\"type\":\"Title\"},{\"attributes\":{\"formatter\":{\"id\":\"1277\",\"type\":\"BasicTickFormatter\"},\"ticker\":{\"id\":\"1181\",\"type\":\"BasicTicker\"},\"visible\":false},\"id\":\"1180\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"@datetime\":\"datetime\"},\"point_policy\":\"follow_mouse\",\"renderers\":[{\"id\":\"1211\",\"type\":\"GlyphRenderer\"}],\"tooltips\":[[\"Date\",\"@datetime{%c}\"],[\"P/L\",\"@returns_long{+0.[000]%}\"]]},\"id\":\"1218\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"@datetime\":\"datetime\"},\"point_policy\":\"follow_mouse\",\"renderers\":[{\"id\":\"1216\",\"type\":\"GlyphRenderer\"}],\"tooltips\":[[\"Date\",\"@datetime{%c}\"],[\"P/L\",\"@returns_short{+0.[000]%}\"]]},\"id\":\"1220\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"1103\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1181\",\"type\":\"BasicTicker\"},{\"attributes\":{\"ticker\":{\"id\":\"1181\",\"type\":\"BasicTicker\"}},\"id\":\"1184\",\"type\":\"Grid\"},{\"attributes\":{\"format\":\"0.[00]%\"},\"id\":\"1222\",\"type\":\"NumeralTickFormatter\"},{\"attributes\":{},\"id\":\"1107\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"axis_label\":\"Profit / Loss\",\"formatter\":{\"id\":\"1222\",\"type\":\"NumeralTickFormatter\"},\"minor_tick_line_color\":{\"value\":null},\"ticker\":{\"id\":\"1186\",\"type\":\"BasicTicker\"}},\"id\":\"1185\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1108\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1186\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1109\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"border_line_color\":{\"value\":\"#333333\"},\"items\":[{\"id\":\"1111\",\"type\":\"LegendItem\"},{\"id\":\"1129\",\"type\":\"LegendItem\"},{\"id\":\"1149\",\"type\":\"LegendItem\"},{\"id\":\"1171\",\"type\":\"LegendItem\"}],\"label_text_font_size\":{\"value\":\"8pt\"},\"location\":\"top_left\",\"margin\":0,\"padding\":5,\"spacing\":0},\"id\":\"1110\",\"type\":\"Legend\"},{\"attributes\":{\"dimension\":1,\"ticker\":{\"id\":\"1186\",\"type\":\"BasicTicker\"}},\"id\":\"1189\",\"type\":\"Grid\"},{\"attributes\":{\"line_color\":{\"value\":\"#666666\"},\"line_dash\":[6],\"location\":0},\"id\":\"1207\",\"type\":\"Span\"}],\"root_ids\":[\"1299\"]},\"title\":\"Bokeh Application\",\"version\":\"1.4.0\"}};\n",
              "  var render_items = [{\"docid\":\"951c1877-a80a-4bc0-a21d-904cb80d5c3f\",\"roots\":{\"1299\":\"e03230b7-bcfe-4906-b6a1-f228bf566ec5\"}}];\n",
              "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
              "\n",
              "  }\n",
              "  if (root.Bokeh !== undefined) {\n",
              "    embed_document(root);\n",
              "  } else {\n",
              "    var attempts = 0;\n",
              "    var timer = setInterval(function(root) {\n",
              "      if (root.Bokeh !== undefined) {\n",
              "        clearInterval(timer);\n",
              "        embed_document(root);\n",
              "      } else {\n",
              "        attempts++;\n",
              "        if (attempts > 100) {\n",
              "          clearInterval(timer);\n",
              "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
              "        }\n",
              "      }\n",
              "    }, 10, root)\n",
              "  }\n",
              "})(window);"
            ],
            "application/vnd.bokehjs_exec.v0+json": ""
          },
          "metadata": {
            "tags": [],
            "application/vnd.bokehjs_exec.v0+json": {
              "id": "1299"
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nDorax9b3z3B",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 685,
          "referenced_widgets": [
            "ab8cf2dd537a4890a5dd93d8acb89e94",
            "cdd87f09c4114856a6a883cb6667815b",
            "717980b3f9274a6292a7fccd6952e069",
            "4183753f62564993b5144639cae0aad6",
            "9b8415c3baa842d3a01a79fa73b30497",
            "7e1882acc8d64d888a029c5ff8557c68",
            "e60d7fa72ac044ef9a09af1da10bb7d5",
            "7ad99bf6d9d5412380b345905123ca56"
          ]
        },
        "outputId": "7f0d3319-3586-43bc-e1f9-9b39b8d7a9ea"
      },
      "source": [
        "result2 = bt.optimize(n1=range(5, 100, 5),\n",
        "                      n2=range(5, 100, 5))\n",
        "bt.plot()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:2: UserWarning: Searching best of 361 configurations.\n",
            "  \n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "ab8cf2dd537a4890a5dd93d8acb89e94",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=3.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\r"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:3: UserWarning: Superimposed OHLC plot matches the original plot. Skipping.\n",
            "  This is separate from the ipykernel package so we can avoid doing imports until\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "(function(root) {\n",
              "  function now() {\n",
              "    return new Date();\n",
              "  }\n",
              "\n",
              "  var force = true;\n",
              "\n",
              "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
              "    root._bokeh_onload_callbacks = [];\n",
              "    root._bokeh_is_loading = undefined;\n",
              "  }\n",
              "\n",
              "  var JS_MIME_TYPE = 'application/javascript';\n",
              "  var HTML_MIME_TYPE = 'text/html';\n",
              "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
              "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
              "\n",
              "  /**\n",
              "   * Render data to the DOM node\n",
              "   */\n",
              "  function render(props, node) {\n",
              "    var script = document.createElement(\"script\");\n",
              "    node.appendChild(script);\n",
              "  }\n",
              "\n",
              "  /**\n",
              "   * Handle when an output is cleared or removed\n",
              "   */\n",
              "  function handleClearOutput(event, handle) {\n",
              "    var cell = handle.cell;\n",
              "\n",
              "    var id = cell.output_area._bokeh_element_id;\n",
              "    var server_id = cell.output_area._bokeh_server_id;\n",
              "    // Clean up Bokeh references\n",
              "    if (id != null && id in Bokeh.index) {\n",
              "      Bokeh.index[id].model.document.clear();\n",
              "      delete Bokeh.index[id];\n",
              "    }\n",
              "\n",
              "    if (server_id !== undefined) {\n",
              "      // Clean up Bokeh references\n",
              "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
              "      cell.notebook.kernel.execute(cmd, {\n",
              "        iopub: {\n",
              "          output: function(msg) {\n",
              "            var id = msg.content.text.trim();\n",
              "            if (id in Bokeh.index) {\n",
              "              Bokeh.index[id].model.document.clear();\n",
              "              delete Bokeh.index[id];\n",
              "            }\n",
              "          }\n",
              "        }\n",
              "      });\n",
              "      // Destroy server and session\n",
              "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
              "      cell.notebook.kernel.execute(cmd);\n",
              "    }\n",
              "  }\n",
              "\n",
              "  /**\n",
              "   * Handle when a new output is added\n",
              "   */\n",
              "  function handleAddOutput(event, handle) {\n",
              "    var output_area = handle.output_area;\n",
              "    var output = handle.output;\n",
              "\n",
              "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
              "    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
              "      return\n",
              "    }\n",
              "\n",
              "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
              "\n",
              "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
              "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
              "      // store reference to embed id on output_area\n",
              "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
              "    }\n",
              "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
              "      var bk_div = document.createElement(\"div\");\n",
              "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
              "      var script_attrs = bk_div.children[0].attributes;\n",
              "      for (var i = 0; i < script_attrs.length; i++) {\n",
              "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
              "      }\n",
              "      // store reference to server id on output_area\n",
              "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
              "    }\n",
              "  }\n",
              "\n",
              "  function register_renderer(events, OutputArea) {\n",
              "\n",
              "    function append_mime(data, metadata, element) {\n",
              "      // create a DOM node to render to\n",
              "      var toinsert = this.create_output_subarea(\n",
              "        metadata,\n",
              "        CLASS_NAME,\n",
              "        EXEC_MIME_TYPE\n",
              "      );\n",
              "      this.keyboard_manager.register_events(toinsert);\n",
              "      // Render to node\n",
              "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
              "      render(props, toinsert[toinsert.length - 1]);\n",
              "      element.append(toinsert);\n",
              "      return toinsert\n",
              "    }\n",
              "\n",
              "    /* Handle when an output is cleared or removed */\n",
              "    events.on('clear_output.CodeCell', handleClearOutput);\n",
              "    events.on('delete.Cell', handleClearOutput);\n",
              "\n",
              "    /* Handle when a new output is added */\n",
              "    events.on('output_added.OutputArea', handleAddOutput);\n",
              "\n",
              "    /**\n",
              "     * Register the mime type and append_mime function with output_area\n",
              "     */\n",
              "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
              "      /* Is output safe? */\n",
              "      safe: true,\n",
              "      /* Index of renderer in `output_area.display_order` */\n",
              "      index: 0\n",
              "    });\n",
              "  }\n",
              "\n",
              "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
              "  if (root.Jupyter !== undefined) {\n",
              "    var events = require('base/js/events');\n",
              "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
              "\n",
              "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
              "      register_renderer(events, OutputArea);\n",
              "    }\n",
              "  }\n",
              "\n",
              "  \n",
              "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
              "    root._bokeh_timeout = Date.now() + 5000;\n",
              "    root._bokeh_failed_load = false;\n",
              "  }\n",
              "\n",
              "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
              "     \"<div style='background-color: #fdd'>\\n\"+\n",
              "     \"<p>\\n\"+\n",
              "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
              "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
              "     \"</p>\\n\"+\n",
              "     \"<ul>\\n\"+\n",
              "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
              "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
              "     \"</ul>\\n\"+\n",
              "     \"<code>\\n\"+\n",
              "     \"from bokeh.resources import INLINE\\n\"+\n",
              "     \"output_notebook(resources=INLINE)\\n\"+\n",
              "     \"</code>\\n\"+\n",
              "     \"</div>\"}};\n",
              "\n",
              "  function display_loaded() {\n",
              "    var el = document.getElementById(null);\n",
              "    if (el != null) {\n",
              "      el.textContent = \"BokehJS is loading...\";\n",
              "    }\n",
              "    if (root.Bokeh !== undefined) {\n",
              "      if (el != null) {\n",
              "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
              "      }\n",
              "    } else if (Date.now() < root._bokeh_timeout) {\n",
              "      setTimeout(display_loaded, 100)\n",
              "    }\n",
              "  }\n",
              "\n",
              "\n",
              "  function run_callbacks() {\n",
              "    try {\n",
              "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
              "        if (callback != null)\n",
              "          callback();\n",
              "      });\n",
              "    } finally {\n",
              "      delete root._bokeh_onload_callbacks\n",
              "    }\n",
              "    console.debug(\"Bokeh: all callbacks have finished\");\n",
              "  }\n",
              "\n",
              "  function load_libs(css_urls, js_urls, callback) {\n",
              "    if (css_urls == null) css_urls = [];\n",
              "    if (js_urls == null) js_urls = [];\n",
              "\n",
              "    root._bokeh_onload_callbacks.push(callback);\n",
              "    if (root._bokeh_is_loading > 0) {\n",
              "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
              "      return null;\n",
              "    }\n",
              "    if (js_urls == null || js_urls.length === 0) {\n",
              "      run_callbacks();\n",
              "      return null;\n",
              "    }\n",
              "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
              "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
              "\n",
              "    function on_load() {\n",
              "      root._bokeh_is_loading--;\n",
              "      if (root._bokeh_is_loading === 0) {\n",
              "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
              "        run_callbacks()\n",
              "      }\n",
              "    }\n",
              "\n",
              "    function on_error() {\n",
              "      console.error(\"failed to load \" + url);\n",
              "    }\n",
              "\n",
              "    for (var i = 0; i < css_urls.length; i++) {\n",
              "      var url = css_urls[i];\n",
              "      const element = document.createElement(\"link\");\n",
              "      element.onload = on_load;\n",
              "      element.onerror = on_error;\n",
              "      element.rel = \"stylesheet\";\n",
              "      element.type = \"text/css\";\n",
              "      element.href = url;\n",
              "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
              "      document.body.appendChild(element);\n",
              "    }\n",
              "\n",
              "    for (var i = 0; i < js_urls.length; i++) {\n",
              "      var url = js_urls[i];\n",
              "      var element = document.createElement('script');\n",
              "      element.onload = on_load;\n",
              "      element.onerror = on_error;\n",
              "      element.async = false;\n",
              "      element.src = url;\n",
              "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
              "      document.head.appendChild(element);\n",
              "    }\n",
              "  };\n",
              "\n",
              "  function inject_raw_css(css) {\n",
              "    const element = document.createElement(\"style\");\n",
              "    element.appendChild(document.createTextNode(css));\n",
              "    document.body.appendChild(element);\n",
              "  }\n",
              "\n",
              "  \n",
              "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.4.0.min.js\"];\n",
              "  var css_urls = [];\n",
              "  \n",
              "\n",
              "  var inline_js = [\n",
              "    function(Bokeh) {\n",
              "      Bokeh.set_log_level(\"info\");\n",
              "    },\n",
              "    function(Bokeh) {\n",
              "    \n",
              "    \n",
              "    }\n",
              "  ];\n",
              "\n",
              "  function run_inline_js() {\n",
              "    \n",
              "    if (root.Bokeh !== undefined || force === true) {\n",
              "      \n",
              "    for (var i = 0; i < inline_js.length; i++) {\n",
              "      inline_js[i].call(root, root.Bokeh);\n",
              "    }\n",
              "    } else if (Date.now() < root._bokeh_timeout) {\n",
              "      setTimeout(run_inline_js, 100);\n",
              "    } else if (!root._bokeh_failed_load) {\n",
              "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
              "      root._bokeh_failed_load = true;\n",
              "    } else if (force !== true) {\n",
              "      var cell = $(document.getElementById(null)).parents('.cell').data().cell;\n",
              "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
              "    }\n",
              "\n",
              "  }\n",
              "\n",
              "  if (root._bokeh_is_loading === 0) {\n",
              "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
              "    run_inline_js();\n",
              "  } else {\n",
              "    load_libs(css_urls, js_urls, function() {\n",
              "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
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%d\"],\"months\":[\"%m/%Y\",\"%b'%y\"]},\"id\":\"1571\",\"type\":\"DatetimeTickFormatter\"},{\"attributes\":{\"dimensions\":\"width\"},\"id\":\"1719\",\"type\":\"PanTool\"},{\"attributes\":{\"dimensions\":\"width\",\"maintain_focus\":false},\"id\":\"1720\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"formatter\":{\"id\":\"1806\",\"type\":\"BasicTickFormatter\"},\"ticker\":{\"id\":\"1710\",\"type\":\"BasicTicker\"},\"visible\":false},\"id\":\"1709\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1705\",\"type\":\"LinearScale\"},{\"attributes\":{\"overlay\":{\"id\":\"1808\",\"type\":\"BoxAnnotation\"}},\"id\":\"1721\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"below\":[{\"id\":\"1709\",\"type\":\"LinearAxis\"}],\"center\":[{\"id\":\"1713\",\"type\":\"Grid\"},{\"id\":\"1718\",\"type\":\"Grid\"},{\"id\":\"1736\",\"type\":\"Span\"}],\"left\":[{\"id\":\"1714\",\"type\":\"LinearAxis\"}],\"min_border_bottom\":6,\"min_border_left\":0,\"min_border_right\":10,\"min_border_top\":3,\"outline_line_color\":{\"value\":\"#666666\"},\"plot_height\":90,\"plot_width\":null,\"renderers\":[{\"id\":\"1740\",\"type\":\"GlyphRenderer\"},{\"id\":\"1745\",\"type\":\"GlyphRenderer\"}],\"sizing_mode\":\"stretch_width\",\"title\":{\"id\":\"1804\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"1727\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"1530\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"1705\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"1703\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"1707\",\"type\":\"LinearScale\"}},\"id\":\"1701\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1722\",\"type\":\"UndoTool\"},{\"attributes\":{},\"id\":\"1723\",\"type\":\"RedoTool\"},{\"attributes\":{},\"id\":\"1724\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"1710\",\"type\":\"BasicTicker\"},{\"attributes\":{\"ticker\":{\"id\":\"1710\",\"type\":\"BasicTicker\"}},\"id\":\"1713\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1725\",\"type\":\"CrosshairTool\"},{\"attributes\":{},\"id\":\"1726\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"1707\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"Profit / Loss\",\"formatter\":{\"id\":\"1751\",\"type\":\"NumeralTickFormatter\"},\"minor_tick_line_color\":{\"value\":null},\"ticker\":{\"id\":\"1715\",\"type\":\"BasicTicker\"}},\"id\":\"1714\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null},\"id\":\"1703\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1677\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"source\":{\"id\":\"1679\",\"type\":\"ColumnDataSource\"}},\"id\":\"1683\",\"type\":\"CDSView\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"@datetime\":\"datetime\"},\"mode\":\"vline\",\"point_policy\":\"follow_mouse\",\"renderers\":[{\"id\":\"1761\",\"type\":\"GlyphRenderer\"}],\"tooltips\":[[\"Date\",\"@datetime{%c}\"],[\"x, y\",\"$index&nbsp;&nbsp;&nbsp;&nbsp;$y{0,0.0[0000]}\"],[\"OHLC\",\"@Open{0,0.0[0000]}&nbsp;&nbsp;&nbsp;&nbsp;@High{0,0.0[0000]}&nbsp;&nbsp;&nbsp;&nbsp;@Low{0,0.0[0000]}&nbsp;&nbsp;&nbsp;&nbsp;@Close{0,0.0[0000]}\"],[\"Volume\",\"@Volume{0,0}\"]]},\"id\":\"1778\",\"type\":\"HoverTool\"},{\"attributes\":{\"data_source\":{\"id\":\"1679\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"1680\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1681\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"1683\",\"type\":\"CDSView\"}},\"id\":\"1682\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x0\":{\"field\":\"index\"},\"x1\":{\"field\":\"index\"},\"y0\":{\"field\":\"High\"},\"y1\":{\"field\":\"Low\"}},\"id\":\"1755\",\"type\":\"Segment\"},{\"attributes\":{\"label\":{\"value\":\"Trades (1049)\"},\"renderers\":[{\"id\":\"1766\",\"type\":\"GlyphRenderer\"}]},\"id\":\"1777\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"1699\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"marker\":{\"value\":\"triangle\"},\"size\":{\"units\":\"screen\",\"value\":13},\"x\":{\"field\":\"index\"},\"y\":{\"field\":\"returns_long\"}},\"id\":\"1739\",\"type\":\"Scatter\"},{\"attributes\":{\"dimension\":1,\"ticker\":{\"id\":\"1715\",\"type\":\"BasicTicker\"}},\"id\":\"1718\",\"type\":\"Grid\"},{\"attributes\":{\"fill_color\":{\"field\":\"returns_pos\",\"transform\":{\"id\":\"1569\",\"type\":\"CategoricalColorMapper\"}},\"marker\":{\"value\":\"triangle\"},\"size\":{\"units\":\"screen\",\"value\":13},\"x\":{\"field\":\"index\"},\"y\":{\"field\":\"returns_long\"}},\"id\":\"1738\",\"type\":\"Scatter\"},{\"attributes\":{},\"id\":\"1715\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"1567\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"1743\",\"type\":\"Scatter\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1744\",\"type\":\"Scatter\"},\"selection_glyph\":null,\"view\":{\"id\":\"1746\",\"type\":\"CDSView\"}},\"id\":\"1745\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"source\":{\"id\":\"1567\",\"type\":\"ColumnDataSource\"}},\"id\":\"1741\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1676\",\"type\":\"Selection\"},{\"attributes\":{\"data_source\":{\"id\":\"1567\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"1738\",\"type\":\"Scatter\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1739\",\"type\":\"Scatter\"},\"selection_glyph\":null,\"view\":{\"id\":\"1741\",\"type\":\"CDSView\"}},\"id\":\"1740\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"below\":[{\"id\":\"1582\",\"type\":\"LinearAxis\"}],\"center\":[{\"id\":\"1586\",\"type\":\"Grid\"},{\"id\":\"1591\",\"type\":\"Grid\"},{\"id\":\"1639\",\"type\":\"Legend\"}],\"left\":[{\"id\":\"1587\",\"type\":\"LinearAxis\"}],\"min_border_bottom\":6,\"min_border_left\":0,\"min_border_right\":10,\"min_border_top\":3,\"outline_line_color\":{\"value\":\"#666666\"},\"plot_height\":110,\"plot_width\":null,\"renderers\":[{\"id\":\"1613\",\"type\":\"GlyphRenderer\"},{\"id\":\"1618\",\"type\":\"GlyphRenderer\"},{\"id\":\"1627\",\"type\":\"GlyphRenderer\"},{\"id\":\"1644\",\"type\":\"GlyphRenderer\"},{\"id\":\"1662\",\"type\":\"GlyphRenderer\"},{\"id\":\"1682\",\"type\":\"GlyphRenderer\"}],\"sizing_mode\":\"stretch_width\",\"title\":{\"id\":\"1630\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"1600\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"1530\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"1578\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"1576\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"1580\",\"type\":\"LinearScale\"}},\"id\":\"1574\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"data_source\":{\"id\":\"1566\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"1754\",\"type\":\"Segment\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1755\",\"type\":\"Segment\"},\"selection_glyph\":null,\"view\":{\"id\":\"1757\",\"type\":\"CDSView\"}},\"id\":\"1756\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"label\":{\"value\":\"Max Dd Dur. (1061 days)\"},\"renderers\":[{\"id\":\"1682\",\"type\":\"GlyphRenderer\"}]},\"id\":\"1700\",\"type\":\"LegendItem\"},{\"attributes\":{\"data_source\":{\"id\":\"1566\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"1616\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1617\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"1619\",\"type\":\"CDSView\"}},\"id\":\"1618\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"active_drag\":{\"id\":\"1719\",\"type\":\"PanTool\"},\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":{\"id\":\"1720\",\"type\":\"WheelZoomTool\"},\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1719\",\"type\":\"PanTool\"},{\"id\":\"1720\",\"type\":\"WheelZoomTool\"},{\"id\":\"1721\",\"type\":\"BoxZoomTool\"},{\"id\":\"1722\",\"type\":\"UndoTool\"},{\"id\":\"1723\",\"type\":\"RedoTool\"},{\"id\":\"1724\",\"type\":\"ResetTool\"},{\"id\":\"1725\",\"type\":\"CrosshairTool\"},{\"id\":\"1726\",\"type\":\"SaveTool\"},{\"id\":\"1747\",\"type\":\"HoverTool\"},{\"id\":\"1749\",\"type\":\"HoverTool\"}]},\"id\":\"1727\",\"type\":\"Toolbar\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"marker\":{\"value\":\"inverted_triangle\"},\"size\":{\"units\":\"screen\",\"value\":13},\"x\":{\"field\":\"index\"},\"y\":{\"field\":\"returns_short\"}},\"id\":\"1744\",\"type\":\"Scatter\"},{\"attributes\":{\"source\":{\"id\":\"1567\",\"type\":\"ColumnDataSource\"}},\"id\":\"1746\",\"type\":\"CDSView\"},{\"attributes\":{\"args\":{\"axis\":{\"id\":\"1539\",\"type\":\"LinearAxis\"},\"formatter\":{\"id\":\"1571\",\"type\":\"DatetimeTickFormatter\"},\"source\":{\"id\":\"1566\",\"type\":\"ColumnDataSource\"}},\"code\":\"\\nthis.labels = this.labels || formatter.doFormat(ticks\\n                                                .map(i => source.data.datetime[i])\\n                                                .filter(t => t !== undefined));\\nreturn this.labels[index] || \\\"\\\";\\n        \"},\"id\":\"1572\",\"type\":\"FuncTickFormatter\"},{\"attributes\":{\"fill_color\":{\"field\":\"returns_pos\",\"transform\":{\"id\":\"1569\",\"type\":\"CategoricalColorMapper\"}},\"marker\":{\"value\":\"inverted_triangle\"},\"size\":{\"units\":\"screen\",\"value\":13},\"x\":{\"field\":\"index\"},\"y\":{\"field\":\"returns_short\"}},\"id\":\"1743\",\"type\":\"Scatter\"},{\"attributes\":{\"source\":{\"id\":\"1566\",\"type\":\"ColumnDataSource\"}},\"id\":\"1757\",\"type\":\"CDSView\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"@datetime\":\"datetime\"},\"point_policy\":\"follow_mouse\",\"renderers\":[{\"id\":\"1740\",\"type\":\"GlyphRenderer\"}],\"tooltips\":[[\"Date\",\"@datetime{%c}\"],[\"P/L\",\"@returns_long{+0.[000]%}\"]]},\"id\":\"1747\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"@datetime\":\"datetime\"},\"point_policy\":\"follow_mouse\",\"renderers\":[{\"id\":\"1745\",\"type\":\"GlyphRenderer\"}],\"tooltips\":[[\"Date\",\"@datetime{%c}\"],[\"P/L\",\"@returns_short{+0.[000]%}\"]]},\"id\":\"1749\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"data\":{\"x\":[340,1048]},\"selected\":{\"id\":\"1800\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1801\",\"type\":\"UnionRenderers\"}},\"id\":\"1679\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"format\":\"0.[00]%\"},\"id\":\"1751\",\"type\":\"NumeralTickFormatter\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"@datetime\":\"datetime\"},\"mode\":\"vline\",\"point_policy\":\"follow_mouse\",\"renderers\":[{\"id\":\"1618\",\"type\":\"GlyphRenderer\"}],\"tooltips\":[[\"Date\",\"@datetime{%c}\"],[\"Equity\",\"@equity{+0,0.[000]%}\"]]},\"id\":\"1620\",\"type\":\"HoverTool\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"value\":1.5025419495108565}},\"id\":\"1681\",\"type\":\"Line\"},{\"attributes\":{\"line_color\":{\"value\":\"#666666\"},\"line_dash\":[6],\"location\":0},\"id\":\"1736\",\"type\":\"Span\"},{\"attributes\":{\"x0\":{\"field\":\"index\"},\"x1\":{\"field\":\"index\"},\"y0\":{\"field\":\"High\"},\"y1\":{\"field\":\"Low\"}},\"id\":\"1754\",\"type\":\"Segment\"},{\"attributes\":{\"label\":{\"value\":\"Max Drawdown (-43.6%)\"},\"renderers\":[{\"id\":\"1662\",\"type\":\"GlyphRenderer\"}]},\"id\":\"1678\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"1698\",\"type\":\"Selection\"},{\"attributes\":{\"source\":{\"id\":\"1566\",\"type\":\"ColumnDataSource\"}},\"id\":\"1619\",\"type\":\"CDSView\"}],\"root_ids\":[\"1828\"]},\"title\":\"Bokeh Application\",\"version\":\"1.4.0\"}};\n",
              "  var render_items = [{\"docid\":\"80d20418-8b56-4c4a-b7c3-6ffd99ec0c54\",\"roots\":{\"1828\":\"dab0e234-76b9-4246-ae0c-46daf9cc4d20\"}}];\n",
              "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
              "\n",
              "  }\n",
              "  if (root.Bokeh !== undefined) {\n",
              "    embed_document(root);\n",
              "  } else {\n",
              "    var attempts = 0;\n",
              "    var timer = setInterval(function(root) {\n",
              "      if (root.Bokeh !== undefined) {\n",
              "        clearInterval(timer);\n",
              "        embed_document(root);\n",
              "      } else {\n",
              "        attempts++;\n",
              "        if (attempts > 100) {\n",
              "          clearInterval(timer);\n",
              "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
              "        }\n",
              "      }\n",
              "    }, 10, root)\n",
              "  }\n",
              "})(window);"
            ],
            "application/vnd.bokehjs_exec.v0+json": ""
          },
          "metadata": {
            "tags": [],
            "application/vnd.bokehjs_exec.v0+json": {
              "id": "1828"
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NJXQzsw63_R9",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 280
        },
        "outputId": "6c9c01ef-8f06-467f-c670-b75cc0cbddf8"
      },
      "source": [
        "result1._trade_data.Equity.plot()\n",
        "result2._trade_data.Equity.plot()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f4f7cc71d30>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VdXYMD7VXJWm",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "14a1b43d-9c28-4164-f2b2-df4a37d5c804"
      },
      "source": [
        "print(result2.loc['_strategy'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Strategy(n1=90,n2=60)\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}