tej87681088/TEJAPI_Medium量化分析15.ipynb

## TEJAPI_Medium量化分析15.ipynb
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      "name": "Untitled11.ipynb",
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      "authorship_tag": "ABX9TyOx/cI/OoDU7C47AxAy+w8Y",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/tej87681088/d577d55fa8b8fb2d1fed9d8cba660df7/untitled11.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!wget 'https://noto-website-2.storage.googleapis.com/pkgs/NotoSansCJKtc-hinted.zip'\n",
        "!mkdir /tmp/fonts\n",
        "!unzip -o NotoSansCJKtc-hinted.zip -d /tmp/fonts/\n",
        "!mv /tmp/fonts/NotoSansMonoCJKtc-Regular.otf /usr/share/fonts/truetype/NotoSansMonoCJKtc-Regular.otf -f\n",
        "!rm -rf /tmp/fonts\n",
        "!rm NotoSansCJKtc-hinted.zip\n",
        "import matplotlib.font_manager as font_manager\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "font_dirs = ['/usr/share/fonts/truetype/']\n",
        "font_files = font_manager.findSystemFonts(fontpaths=font_dirs)\n",
        "\n",
        "for font_file in font_files:\n",
        "  font_manager.fontManager.addfont(font_file)\n",
        "\n",
        "plt.rcParams['font.family'] = \"Noto Sans Mono CJK TC\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "orD1hM6QMiVy",
        "outputId": "d273c312-cb7f-4100-9616-c2630586155b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting tejapi\n",
            "  Downloading tejapi-0.1.22-py2.py3-none-any.whl (15 kB)\n",
            "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.7/dist-packages (from tejapi) (2.8.2)\n",
            "Collecting inflection>=0.3.1\n",
            "  Downloading inflection-0.5.1-py2.py3-none-any.whl (9.5 kB)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from tejapi) (1.15.0)\n",
            "Requirement already satisfied: numpy>=1.8 in /usr/local/lib/python3.7/dist-packages (from tejapi) (1.21.5)\n",
            "Requirement already satisfied: pandas>=0.18.1 in /usr/local/lib/python3.7/dist-packages (from tejapi) (1.3.5)\n",
            "Requirement already satisfied: more-itertools in /usr/local/lib/python3.7/dist-packages (from tejapi) (8.12.0)\n",
            "Requirement already satisfied: requests>=2.7.0 in /usr/local/lib/python3.7/dist-packages (from tejapi) (2.23.0)\n",
            "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.18.1->tejapi) (2018.9)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests>=2.7.0->tejapi) (3.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests>=2.7.0->tejapi) (2021.10.8)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests>=2.7.0->tejapi) (2.10)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests>=2.7.0->tejapi) (1.24.3)\n",
            "Installing collected packages: inflection, tejapi\n",
            "Successfully installed inflection-0.5.1 tejapi-0.1.22\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "7XyADhP7K5S-"
      },
      "outputs": [],
      "source": [
        "######策略篇程式交易練功房##########\n",
        "###匯入套件\n",
        "\n",
        "##########三寶\n",
        "import pandas as pd \n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "################\n",
        "import tejapi\n",
        "\n",
        "############ 接資料"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tejapi.ApiConfig.api_key=####yourkey\n",
        "\n",
        "tejapi.ApiConfig.ignoretz = True\n",
        "\n",
        "coid=\"2618\"\n",
        "start=\"2018-01-01\"\n",
        "end= \"2022-02-17\"\n",
        "opts={'columns': ['coid', 'mdate', 'volume', 'close_adj','close_d','open_d']}"
      ],
      "metadata": {
        "id": "Pxm2ubDMMvGU"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fly=tejapi.get('TWN/EWPRCD',coid=coid,\n",
        "                mdate={'gt':start,'lt':end},\n",
        "                paginate=True,\n",
        "                chinese_column_name=True,\n",
        "                opts=opts\n",
        "                )"
      ],
      "metadata": {
        "id": "g2N3DOSTPE_h"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fly.set_index(\"日期\",drop=True,inplace=True)"
      ],
      "metadata": {
        "id": "3sZKZkVYR55N"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fly\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 454
        },
        "id": "-3-cyhgqPGM0",
        "outputId": "b7c9bb7c-b5eb-44eb-cc72-67b204eda591"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>證券碼</th>\n",
              "      <th>成交量(千股)</th>\n",
              "      <th>收盤價-除權息</th>\n",
              "      <th>收盤價</th>\n",
              "      <th>開盤價</th>\n",
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              "    <tr>\n",
              "      <th>日期</th>\n",
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              "      <th></th>\n",
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              "      <th>2018-01-02</th>\n",
              "      <td>2618</td>\n",
              "      <td>24410.411</td>\n",
              "      <td>13.5785</td>\n",
              "      <td>15.95</td>\n",
              "      <td>15.80</td>\n",
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              "    <tr>\n",
              "      <th>2018-01-03</th>\n",
              "      <td>2618</td>\n",
              "      <td>10399.399</td>\n",
              "      <td>13.6637</td>\n",
              "      <td>16.05</td>\n",
              "      <td>16.05</td>\n",
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              "    <tr>\n",
              "      <th>2018-01-04</th>\n",
              "      <td>2618</td>\n",
              "      <td>10116.726</td>\n",
              "      <td>13.6211</td>\n",
              "      <td>16.00</td>\n",
              "      <td>16.05</td>\n",
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              "    <tr>\n",
              "      <th>2018-01-05</th>\n",
              "      <td>2618</td>\n",
              "      <td>16325.731</td>\n",
              "      <td>13.7914</td>\n",
              "      <td>16.20</td>\n",
              "      <td>16.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-08</th>\n",
              "      <td>2618</td>\n",
              "      <td>10548.509</td>\n",
              "      <td>13.6637</td>\n",
              "      <td>16.05</td>\n",
              "      <td>16.25</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>2022-02-09</th>\n",
              "      <td>2618</td>\n",
              "      <td>245624.664</td>\n",
              "      <td>28.4000</td>\n",
              "      <td>28.40</td>\n",
              "      <td>27.95</td>\n",
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              "    <tr>\n",
              "      <th>2022-02-10</th>\n",
              "      <td>2618</td>\n",
              "      <td>251728.456</td>\n",
              "      <td>28.8500</td>\n",
              "      <td>28.85</td>\n",
              "      <td>28.95</td>\n",
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              "      <th>2022-02-11</th>\n",
              "      <td>2618</td>\n",
              "      <td>336632.699</td>\n",
              "      <td>30.1500</td>\n",
              "      <td>30.15</td>\n",
              "      <td>28.85</td>\n",
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              "    <tr>\n",
              "      <th>2022-02-14</th>\n",
              "      <td>2618</td>\n",
              "      <td>272464.707</td>\n",
              "      <td>29.1000</td>\n",
              "      <td>29.10</td>\n",
              "      <td>29.65</td>\n",
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              "    <tr>\n",
              "      <th>2022-02-15</th>\n",
              "      <td>2618</td>\n",
              "      <td>479760.954</td>\n",
              "      <td>31.2500</td>\n",
              "      <td>31.25</td>\n",
              "      <td>29.70</td>\n",
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              "<p>1003 rows × 5 columns</p>\n",
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            "text/plain": [
              "             證券碼     成交量(千股)  收盤價-除權息    收盤價    開盤價\n",
              "日期                                                 \n",
              "2018-01-02  2618   24410.411  13.5785  15.95  15.80\n",
              "2018-01-03  2618   10399.399  13.6637  16.05  16.05\n",
              "2018-01-04  2618   10116.726  13.6211  16.00  16.05\n",
              "2018-01-05  2618   16325.731  13.7914  16.20  16.10\n",
              "2018-01-08  2618   10548.509  13.6637  16.05  16.25\n",
              "...          ...         ...      ...    ...    ...\n",
              "2022-02-09  2618  245624.664  28.4000  28.40  27.95\n",
              "2022-02-10  2618  251728.456  28.8500  28.85  28.95\n",
              "2022-02-11  2618  336632.699  30.1500  30.15  28.85\n",
              "2022-02-14  2618  272464.707  29.1000  29.10  29.65\n",
              "2022-02-15  2618  479760.954  31.2500  31.25  29.70\n",
              "\n",
              "[1003 rows x 5 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "plt.figure(facecolor='white',figsize=(12,8))\n",
        "plt.plot(fly['收盤價'], label='收盤價')\n",
        "plt.title(\"飛機起飛表\")\n",
        "plt.xticks(rotation=45) #X軸斜的\n",
        "plt.xlabel('日期')\n",
        "plt.ylabel('價格')\n",
        "plt.grid() #格子\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 535
        },
        "id": "quryF_R8PLvS",
        "outputId": "bbe472ed-229b-4cf5-9181-30d8195773e3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def voltrade(df,p,q,r):\n",
        "    df =df.copy()\n",
        "\n",
        "    df[\"當日交易量\"]=df[\"成交量(千股)\"].rolling(p).mean()\n",
        "    df[\"前五日總量\"]=df[\"成交量(千股)\"].rolling(q).sum()\n",
        "    df[str(r)+\"日均線\"]=df[\"收盤價-除權息\"].rolling(r).mean()\n",
        "    \n",
        "    ####扣除掉當日之平均\n",
        "    \n",
        "    df[\"前幾日平均\"]=(df[\"前五日總量\"]-df[\"當日交易量\"])/(q-p)\n",
        "    \n",
        "    \n",
        "    \n",
        "    return df \n"
      ],
      "metadata": {
        "id": "lkK3ABBZRxYL"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "r=5\n",
        "stock=voltrade(fly, 1, 5, r)\n"
      ],
      "metadata": {
        "id": "VMc7f60zR1Tb"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "stock\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "13-A-j5Oe1OA",
        "outputId": "1cad8642-c3d4-413f-e6ad-da9f8f1b3b8e"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-17982324-dc20-4c69-b4d5-d5dfdc68c0b3\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>證券碼</th>\n",
              "      <th>成交量(千股)</th>\n",
              "      <th>收盤價-除權息</th>\n",
              "      <th>收盤價</th>\n",
              "      <th>開盤價</th>\n",
              "      <th>當日交易量</th>\n",
              "      <th>前五日總量</th>\n",
              "      <th>5日均線</th>\n",
              "      <th>前幾日平均</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>日期</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2018-01-02</th>\n",
              "      <td>2618</td>\n",
              "      <td>24410.411</td>\n",
              "      <td>13.5785</td>\n",
              "      <td>15.95</td>\n",
              "      <td>15.80</td>\n",
              "      <td>24410.411</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-03</th>\n",
              "      <td>2618</td>\n",
              "      <td>10399.399</td>\n",
              "      <td>13.6637</td>\n",
              "      <td>16.05</td>\n",
              "      <td>16.05</td>\n",
              "      <td>10399.399</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-04</th>\n",
              "      <td>2618</td>\n",
              "      <td>10116.726</td>\n",
              "      <td>13.6211</td>\n",
              "      <td>16.00</td>\n",
              "      <td>16.05</td>\n",
              "      <td>10116.726</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-05</th>\n",
              "      <td>2618</td>\n",
              "      <td>16325.731</td>\n",
              "      <td>13.7914</td>\n",
              "      <td>16.20</td>\n",
              "      <td>16.10</td>\n",
              "      <td>16325.731</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-08</th>\n",
              "      <td>2618</td>\n",
              "      <td>10548.509</td>\n",
              "      <td>13.6637</td>\n",
              "      <td>16.05</td>\n",
              "      <td>16.25</td>\n",
              "      <td>10548.509</td>\n",
              "      <td>71800.776</td>\n",
              "      <td>13.66368</td>\n",
              "      <td>15313.06675</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-02-09</th>\n",
              "      <td>2618</td>\n",
              "      <td>245624.664</td>\n",
              "      <td>28.4000</td>\n",
              "      <td>28.40</td>\n",
              "      <td>27.95</td>\n",
              "      <td>245624.664</td>\n",
              "      <td>685264.342</td>\n",
              "      <td>25.94000</td>\n",
              "      <td>109909.91950</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-02-10</th>\n",
              "      <td>2618</td>\n",
              "      <td>251728.456</td>\n",
              "      <td>28.8500</td>\n",
              "      <td>28.85</td>\n",
              "      <td>28.95</td>\n",
              "      <td>251728.456</td>\n",
              "      <td>885307.249</td>\n",
              "      <td>27.00000</td>\n",
              "      <td>158394.69825</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-02-11</th>\n",
              "      <td>2618</td>\n",
              "      <td>336632.699</td>\n",
              "      <td>30.1500</td>\n",
              "      <td>30.15</td>\n",
              "      <td>28.85</td>\n",
              "      <td>336632.699</td>\n",
              "      <td>1186921.460</td>\n",
              "      <td>28.23000</td>\n",
              "      <td>212572.19025</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-02-14</th>\n",
              "      <td>2618</td>\n",
              "      <td>272464.707</td>\n",
              "      <td>29.1000</td>\n",
              "      <td>29.10</td>\n",
              "      <td>29.65</td>\n",
              "      <td>272464.707</td>\n",
              "      <td>1336493.050</td>\n",
              "      <td>28.77000</td>\n",
              "      <td>266007.08575</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-02-15</th>\n",
              "      <td>2618</td>\n",
              "      <td>479760.954</td>\n",
              "      <td>31.2500</td>\n",
              "      <td>31.25</td>\n",
              "      <td>29.70</td>\n",
              "      <td>479760.954</td>\n",
              "      <td>1586211.480</td>\n",
              "      <td>29.55000</td>\n",
              "      <td>276612.63150</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1003 rows × 9 columns</p>\n",
              "</div>\n",
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            ],
            "text/plain": [
              "             證券碼     成交量(千股)  收盤價-除權息  ...        前五日總量      5日均線         前幾日平均\n",
              "日期                                     ...                                     \n",
              "2018-01-02  2618   24410.411  13.5785  ...          NaN       NaN           NaN\n",
              "2018-01-03  2618   10399.399  13.6637  ...          NaN       NaN           NaN\n",
              "2018-01-04  2618   10116.726  13.6211  ...          NaN       NaN           NaN\n",
              "2018-01-05  2618   16325.731  13.7914  ...          NaN       NaN           NaN\n",
              "2018-01-08  2618   10548.509  13.6637  ...    71800.776  13.66368   15313.06675\n",
              "...          ...         ...      ...  ...          ...       ...           ...\n",
              "2022-02-09  2618  245624.664  28.4000  ...   685264.342  25.94000  109909.91950\n",
              "2022-02-10  2618  251728.456  28.8500  ...   885307.249  27.00000  158394.69825\n",
              "2022-02-11  2618  336632.699  30.1500  ...  1186921.460  28.23000  212572.19025\n",
              "2022-02-14  2618  272464.707  29.1000  ...  1336493.050  28.77000  266007.08575\n",
              "2022-02-15  2618  479760.954  31.2500  ...  1586211.480  29.55000  276612.63150\n",
              "\n",
              "[1003 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "def buysell(company,a,b):\n",
        "    company =company.copy()\n",
        "    buy=[]\n",
        "    sell=[]\n",
        "    hold=0\n",
        "    for i in range(len(company)):\n",
        "    \n",
        "        if  company[\"當日交易量\"][i] > company[\"前幾日平均\"][i]*a :\n",
        "            sell.append(np.nan)\n",
        "            if hold !=1:\n",
        "                buy.append(company[\"收盤價-除權息\"][i])\n",
        "                \n",
        "                hold = 1\n",
        "            else: \n",
        "                buy.append(np.nan)\n",
        "\n",
        "        \n",
        "        elif company[\"當日交易量\"][i]<company[\"前幾日平均\"][i]*b :\n",
        "            buy.append(np.nan)\n",
        "            if hold !=0:\n",
        "                sell.append(company[\"收盤價-除權息\"][i])\n",
        "                hold = 0\n",
        "            else:\n",
        "                sell.append(np.nan)\n",
        "        else:\n",
        "            buy.append(np.nan)\n",
        "            sell.append(np.nan)\n",
        "    a=(buy,sell)\n",
        "        \n",
        "    company['Buy_Signal_Price']=a[0]\n",
        "    company['Sell_Signal_Price']=a[1]\n",
        "    company[\"買賣股數1\"]=company['Buy_Signal_Price'].apply(lambda x : 1000 if x >0 else 0)\n",
        "    company[\"買賣股數2\"]=company['Sell_Signal_Price'].apply(lambda x : -1000 if x >0 else 0  )\n",
        "    company[\"買賣股數\"]=company[\"買賣股數1\"]+ company[\"買賣股數2\"]\n",
        "    \n",
        "    return company\n",
        "def buy_sell(company,a,b):\n",
        "    company =company.copy()\n",
        "\n",
        "    buy=[]\n",
        "    sell=[]\n",
        "    hold=0\n",
        "    for i in range(len(company)):\n",
        "    \n",
        "        if  (company[\"當日交易量\"][i] > company[\"前幾日平均\"][i]*a ) & (company[\"收盤價-除權息\"][i] > company[str(r)+\"日均線\"][i]  ):\n",
        "            sell.append(np.nan)\n",
        "            if hold !=1:\n",
        "                buy.append(company[\"收盤價-除權息\"][i])\n",
        "                \n",
        "                hold = 1\n",
        "            else: \n",
        "                buy.append(np.nan)\n",
        "\n",
        "        \n",
        "        elif (company[\"當日交易量\"][i]<company[\"前幾日平均\"][i]*b) & (company[\"收盤價-除權息\"][i] < company[str(r)+\"日均線\"][i]  ) :\n",
        "            buy.append(np.nan)\n",
        "            if hold !=0:\n",
        "                sell.append(company[\"收盤價-除權息\"][i])\n",
        "                hold = 0\n",
        "            else:\n",
        "                sell.append(np.nan)\n",
        "        else:\n",
        "            buy.append(np.nan)\n",
        "            sell.append(np.nan)\n",
        "    a=(buy,sell)\n",
        "        \n",
        "    company['Buy_Signal_Price']=a[0]\n",
        "    company['Sell_Signal_Price']=a[1]\n",
        "    company[\"買賣股數1\"]=company['Buy_Signal_Price'].apply(lambda x : 1000 if x >0 else 0)\n",
        "    company[\"買賣股數2\"]=company['Sell_Signal_Price'].apply(lambda x : -1000 if x >0 else 0  )\n",
        "    company[\"買賣股數\"]=company[\"買賣股數1\"]+ company[\"買賣股數2\"]\n",
        "    \n",
        "    return company"
      ],
      "metadata": {
        "id": "Owd1fa3LSRoI"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def plot(fly):\n",
        "#Visually show the stock buy and sell signal\n",
        "    plt.figure(figsize=(12.2,4.5))\n",
        "# ^ = shift + 6\n",
        "    plt.scatter(fly.index,fly['Buy_Signal_Price'],color='red', label='Buy',marker='^',alpha=1)\n",
        "#小寫的v\n",
        "    plt.scatter(fly.index,fly['Sell_Signal_Price'],color='green', label='Sell',marker='v',alpha=1)\n",
        "    plt.plot(fly['收盤價-除權息'], label='Close Price', alpha=0.35)\n",
        "    plt.title('Close Price Buy & Sell Signals')\n",
        "#字斜45度角\n",
        "    plt.xticks(rotation=45)\n",
        "    plt.xlabel('Date')  \n",
        "    plt.ylabel('Price')\n",
        "    plt.legend()\n",
        "    plt.grid()\n",
        "    return  plt.show()"
      ],
      "metadata": {
        "id": "y5DKYfbCSec0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "vol=buysell(stock,2.5,0.75)\n",
        "plot(buysell(stock,2.5,0.75))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 345
        },
        "id": "ltBWO3IsShaB",
        "outputId": "3eb0b7d8-4a8e-49c1-a5ea-3cc0cca565ce"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 878.4x324 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "volma=buy_sell(stock,2.5,0.75)      \n",
        "plot(buy_sell(stock,2.5,0.75))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 345
        },
        "id": "7mcR7VY9Spbr",
        "outputId": "8985e19f-72df-4025-ef84-18f90e9e6bea"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 878.4x324 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def pvtwo(fly):\n",
        "  fig, axes = plt.subplots(2, 1, sharex=True, figsize=(15, 10))\n",
        "  ax1, ax2 = axes.flatten()\n",
        "  ax1.scatter(fly.index,fly['Buy_Signal_Price'],color='red', label='Buy',marker='^',alpha=1)\n",
        "\n",
        "  ax1.scatter(fly.index,fly['Sell_Signal_Price'],color='green', label='Sell',marker='v',alpha=1)\n",
        "  ax1.plot(fly['收盤價-除權息'], label='Close Price', alpha=0.35)\n",
        "  ax1.set_title('Close Price Buy & Sell Signals')\n",
        "  ax1.set_ylabel('Price')\n",
        "  ax1.grid(linestyle=\"--\",alpha=0.8)\n",
        "\n",
        "  red_pred = np.where(fly[\"收盤價\"] > fly[\"開盤價\"],fly[\"成交量(千股)\"], 0)\n",
        "  blue_pred = np.where(fly[\"收盤價\"] <  fly[\"開盤價\"], fly[\"成交量(千股)\"], 0)\n",
        "  ax2.bar(fly.index,red_pred, facecolor=\"red\")\n",
        "  ax2.bar(fly.index,blue_pred,facecolor=\"green\")\n",
        "  plt.legend(loc='best')\n",
        "  return plt.show()\n",
        "############疊在同一張圖\n"
      ],
      "metadata": {
        "id": "0eUmIxWXS923"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def pvsame(fly):\n",
        "  fig, ax1 = plt.subplots( figsize=(15, 10))\n",
        "  ax2 = ax1.twinx()\n",
        "  ax1.scatter(fly.index,fly['Buy_Signal_Price'],color='red', label='Buy',marker='^',alpha=1)\n",
        "\n",
        "  ax1.scatter(fly.index,fly['Sell_Signal_Price'],color='green', label='Sell',marker='v',alpha=1)\n",
        "  ax1.plot(fly['收盤價-除權息'], label='Close Price', alpha=0.35)\n",
        "  ax1.set_title('Close Price Buy & Sell Signals')\n",
        "  ax1.set_ylabel('Price')\n",
        "  ax1.grid(linestyle=\"--\",alpha=0.8)\n",
        "\n",
        "  red_pred = np.where(fly[\"收盤價\"] > fly[\"開盤價\"],fly[\"成交量(千股)\"], 0)\n",
        "  blue_pred = np.where(fly[\"收盤價\"] <  fly[\"開盤價\"], fly[\"成交量(千股)\"], 0)\n",
        "  ax2.bar(fly.index,red_pred, facecolor=\"red\",width=1)\n",
        "  ax2.bar(fly.index,blue_pred,facecolor=\"green\",width=1)\n",
        "  plt.legend(loc='best')\n",
        "  return plt.show()"
      ],
      "metadata": {
        "id": "TgWC1unxTCUT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pvtwo(volma)\n",
        "pvsame(volma)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "-Z-tp8zGTzLL",
        "outputId": "b8f79f8e-44e1-43bd-b7c3-986b0478c4e4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "No handles with labels found to put in legend.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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fAx4U59wW4NPAnwMR7/0vOOd+CRj03v/6bM87cOCAP3TokFWZRTt69Cj79u0rdxlVQ3nbU+Z2lLU9ZW5LedtT5naU9eKMpjJ8+nTY8D29b11Rzyl15s+f62ZgLGzcdqxpZOeappKdu1Scc4e99wdm+lzZVtH03r8IHM19uHHCn7fLU9Hi5DtvsaG87SlzO8ranjK3pbztKXM7ynpxssH8B59KnfnEGpbjFM1yrKL5A7mVNBuAlwD/COx1zkWBfcA/WdckIiIiIiLlFwTlrmD5N3jmUzSdc/uB3wUeAj7kvX+Pc+49wHcD/8d7/777PX+pTtHMz08WG8rbnjK3o6ztKXNbytueMrejrBfn7nCSL7xwByh+imapM//EiS5S2bDTfHRdM1vaV5Ts3KWypKZoeu+PeO+f9N5v8t6/J/fYQe/9rrmau6Usf9Ou2FDe9pS5HWVtT5nbUt72lLkdZb042QUMPpU688wyH8Er2z14lSa/2o3YUN72lLkdZW1PmdtS3vaUuR1lPbM7w0mKmTm4kCmapczce0/g1eCJiIiIiIjMaCSZ4Ysv3KFrYHzOYyeO4C1kwZXFyo/eNdaGu8lFlmG3tAxLXpq2bdtW7hKqivK2p8ztKGt7ytyW8ranzO0o6+nSufvZUpm5h+ey2XtNXTJT3OqYpcw831Q21yUAjeBVtdHR0XKXUFWUtz1lbkdZ21PmtpS3PWVuR1lPlx8VyxQx/3LiCN54urj5mqXMPN/gta+o4bGHWuhorCnZua2owSuR/A7zYkN521PmdpS1PWVuS3nbU+Z2lPV0+aYpnZ17yuXEaZnFjuCVMvN8MxqLOjavaiAWXX7t0vKrWERERERElo180zSxectP25xqUoNX5AheKeXrikWX39TMPDV4JdLZ2VnuEqqK8ranzO0oa3vK3JbytqfM7Sjr6fL31eWbp5Fkho+f6OLSnZHpx05o8MaLHMErZeZjqfA16xOxkp3Tmhq8Emlqaip3CVVFedtT5naUtT1lbkt521PmdpT1dPn76vIjeb0jKSDcOmHasYEnEY1QE4sUPYJXyszH0mGDVxePluyc1tTglci5c+fKXUJVUd72lLkdZW1PmdtS3vaUuR1lPV02t7hKJjeSN5obJWuYYZQslc0Sj0aoiUdJFrHqJpQ289FUlppYlGhk+U7RXL5jjyIiIiIisuRNXUVzNJUBIBGbPtaUynjisQjxqGM8XdwUzVIaS2WpjS/vMbDlXf0S0tjYWO4SqorytqfM7Shre8rclvK2p8ztKOvp8iN3hT9zDZ/301fVTGWD3BTN4kfwSpl5forocra8q19Ctm/fXu4SqorytqfM7Shre8rclvK2p8ztKOvpssHkxi5vpk0T0pmARMxRG48UPYJXyszTQbAst0aYaHlXv4QcOXKk3CVUFeVtT5nbUdb2lLkt5W1PmdtR1tMVpmhO2RohmGEEL50NSESj1MajBN6TKmIUr5SZZ7J+Wd9/B7oHr2RmGmKWB0d521PmdpS1PWVuS3nbU+Z2lPV0+UYunWv0gsIUzcnHee9JZQPiMUdN7v68ZCY74716ALcGxjl6rZ/WWfbUW4hMNiC+jPfAA43glYxzy/uNsNwob3vK3I6ytqfMbSlve8rcjrKeLn/vnfeebODJz9ScOoKXH+mLRcJ78ADG77NVwsBYmmQmy0i6dE11OvDEIsu7RVre1S8h+/fvL3cJVUV521PmdpS1PWVuS3nbU+Z2lPV0EzcvT2eDwijn1BG8/HHRiCusZJm8z2bn+embG7ftKlmd3nuN4Eno/Pnz5S6hqihve8rcjrK2p8xtKW97ytyOsp4uvz0C5Jqo3N+nNnj5Eb2oc0WN4KWyYfN34tzFktSZzgbQ30/sm94At26V5JzloAavRIaGhspdQlVR3vaUuR1lbU+Z21Le9pS5HWU9XeA9kdzU1UzWFxq5qVM08yN4kci9PfImNodTpTLh8d39IyWpMxN4+NuPErt6BQ4eLMk5y0GLrIiIiIiIyAPzfR/9Ae6O3cX5Gsajx0gEW4n4FbSuyHL9Z79QOC4/kzO/imU04gr370116HIv3UPjAIylA7LB4le/zN7sgs89Tyybhmeegfe8B9asWdQ5y0EjeCWyY8eOcpdQVZS3PWVuR1nbU+a2lLc9ZW5HWU93YO3LiEbCkThHFHDEIjFeteGpScflV9eM5kb7YhFH99A4yUyWVCYoNHQjyQw3+scKz+vsXMupmwN86tQtLt1Z+Ghe+td/A7wnls1CNrtsR/HU4JXI4OBguUuoKsrbnjK3o6ztKXNbytueMrejrKd7685vx7lM+IGP4nBEXITv3/eOScdlc1M28yuROucYGs/wpYt3+cqlu3z54l0y2YA7w8nCcza01TM6NsqlOyOMpbN0TWj85qWri8xH/hoyGeJBBlKpcBRvGd6LpwavRLq6uspdQlVR3vaUuR1lbU+Z21Le9pS5HWUdGk1lePboDbqHxmmqaeFbd72BWCRKhAZikQRPbXyK1rq2Sc8JJqyiCfcWYRkcS9M7kgJgLJ2lZyhJbTzKt+5dy+MbWhno7y+cY3A8vbCCDx4knWsso0Fu5c5lOoqnBk9EREREREoq35Bd7A6nTP7IS/4DRMaJ+EYiRHnrrrdO3ybBT56iCdPvv8s3eO2NNYWRvliuIVy1ooZkJmA8PfvWCrN67jmyuW0X4vkGL5WCZ5+d/7nKTA1eiaxbt67cJVQV5W1PmdtR1vaUuS3lbU+Z21HWofwoXCobNk2djR28efuridHE6za/nuba5mmraOYXWcnvMx7MsL5K92CSVDagfUVN4bGO9pXhazTXAtA3mpp/wdevkzl3Dj78YWLjY+Hwofdw/fr8z1VmavBKpL6+vtwlVBXlbU+Z21HW9pS5LeVtT5nbUdYhR9jgJXOjadGI4z++/Adpr+/k6R3/Bpi+TUJ+imZ+S4WpI3wAV3tHAWhvvNfgfcPWdlY31fJQaz3OOfpGFjZNM51bsTMWXd4t0vKufgm5cOFCuUuoKsrbnjK3o6ztKXNbytueMrejrEP56ZZjuQavqTbOtlXr+O03/TbNtc3hQVOnaE69B2/KATWxCOlsQFNtnNp4tPB49/XLfMOWlSRiEZpqY/QvZASPcI+++DJv7kANnoiIiIiIlFh2wv51q1bU0Fwfp6kuXrhvDqZPwcw3hTON4NUnYmxetQKAjqYaZtPWkKB/LI2fafhvDpkgKNzPt5xpo/MSaW5uLncJVUV521PmdpS1PWVuS3nbU+Z2lHUoO6HBergjbMyiEUdjbYzBsXAK5WxTNO+N4N3TXBdnW8cKVjfV0Fgbn/S8iZm31ie4dGeEoWSGpinHzSUTaARPJti6dWu5S6gqytueMrejrO0pc1vK254yt6OsQ/nplo21MTom3C83semadZGV3CCanzCit2pFgkjE0VKfKDSAeRMzb6kPz9+/gPvwRlNZErHl3x4t/69giThy5Ei5S6gqytueMrejrO0pc1vK254yt6OsQ/kG76ntHZOmZdZMaKCmTqLMBp6Ic5OOB3jTnjVsaV8x62tNzHxFTYx4NMKdkeSsx88klQkYGEuzckViXs9bitTgiYiIiIhISeWbtamjbROnQE69Ty6dDYhH7x2/e23TtOfMxTnHQ611XO8bI5kpfj+8uyNJvPeTtl9YrnQPXolEo9G5D5KSUd72lLkdZW1PmdtS3vaUuR1lHcoGfsYFSyY2cFPXQRlOZmioudeePNzRyMMdjXO+1tTM2xtruHRnhPFUQE2suOvRM5QkFonQWq8RPMnZt29fuUuoKsrbnjK3o6ztKXNbytueMrejrEOZICAyY4N3r/3I33OXygR47xkaz7CiZv7jT1Mzz79GKhswns5y6uZAYQGX2fQMJVmZu89vuVODVyJnz54tdwlVRXnbU+Z2lLU9ZW5LedtT5naUdSjwM4/gTbwHLxt4kpksnzjZxambgyQz2QU1eFMzj0fC18gEAUev9fNC9zB3hme/J28slWU4mZm0efpypgavREZGRspdQlVR3vaUuR1lbU+Z21Le9pS5HWUdymT9tPvvINwTb11LHZ3NdaSzAePpAICLPcMArKidf4M3NfN4LHzddMYXGruhZGbW5/cMhceowRMREREREZlBOjvznnKRiOPApjbaGuIE3pNMT14IZSEjeFPFciN4t4fGC6t55vfem0nP8Dg1sei8981bqtTglciuXbvKXUJVUd72lLkdZW1PmdtS3vaUuR1lHQpXxJy91UjkFkaZOLLmnKMhMf8Gb2rm+YVcbvaPEY04murijKVmXlHTe0/PULJiRu9ADV7J9Pb2lruEqqK87SlzO8ranjK3pbztKXM7yjqUmrLlwVT5aZRD4/cavIZEdEGLnEzN3DlXaC5XN9XSWBNjLD1zgzc4niGZCSZtxr7cqcErkdu3b5e7hKqivO0pczvK2p4yt6W87SlzO8o6NPcIXvi54YkN3gKnZ86UeSS3WXpTbZzaeJThZIbTNwenHZe//25VBex/l2fe4DnnHnLOfdo5d9k59+7cYxnn3NHcf49b1yQiIiIiIqURBJ5s4EnE7tPg5T43nLx3b1wp7r/Lyy/wsqI2Riw3knihe2jacT1DSRprY9QlKmf/wnJsdL4T+BngEvCic+6PgEve+2W9acj69evLXUJVUd72lLkdZW1PmdtS3vaUuR1lHU7PBO4/gpdr8JKZoPBYc93CFjmZKfPVTTVcupOhIRFlfJbpmUHguTuSZGNbw4Jed6kyb/C895/J/905dw1oA5b9ZOVEYvnver+cKG97ytyOsranzG0pb3vK3I6yDqdnAve9By8xQ/O3prl2Qa83U+Z71jbT0VhLS32Cpto4Z7oGqZ8yStc7miIb+IpaYAXKM4IHgHOuGVgJXAY2OueOAP8C/Ij33k859l3AuwDWrVvH4cOHyf+9vr6eCxcuANDc3MzWrVs5cuQIANFolH379nH27NnC/hi7du2it7e3MFd3/fr1JBIJLl68CEBraysbNmzg2LFjAMTjcR577DFOnz7N2NgYALt376a7u5uenh4ANm7cyPnz56mpCd8cK1euZO3atZw4cQKAmpoa9uzZw8mTJ0kmw3m+jz76KDdv3uTu3bsAbN68mSAIuHLlCgDt7e10dHRw6tQpAOrq6njkkUc4fvw46XQ4lL13716uXr1KX18fAFu3biWVSnHt2jUAVq9eTVtbG2fOnAGgoaGBnTt3cvToUbLZ8F8y9u/fz8WLFxkYGABg27ZtjI6OcuPGDQA6Oztpamri3LlzADQ2NrJ9+3aOHDmC9x7nHPv37+f8+fMMDYXD3jt27GBwcJCurq4Hdp2Gh4d5xSteMe/rFIlEuHTpkq7TAq5TX18fr3/9602+n6r9On3961+nqalpQdfJ8udeJV2nkydPUldXN6/rZP1zr5Ku0+joKE888cSS/7lXSddpYGCA1772tUv2514lXafDhw/T0tKyoOu01P//VOx1GkoG3B6KEtvcVvi9fabr5FlJ38AQY8OD7GlP0Hc3vqDrdPz4cRoaGma8TuO56zR8+wpXxwI6Mj2F76dzt4e5Ppjh9TtWcvny5WV3nWbjpvRSZpxzvwAE3vuDzrlHgevA54Gf9N5/erbnHThwwB86dMiqzKIdPnyYJ554otxlVA3lbU+Z21HW9pS5LeVtT5nbUdZwZzjJF1+4w8u3rrrv6Nhnz9xmOJmhrSHBK7e1L/j1isn85I0Brtwd5c2PdRYe++fzPTjHol67XJxzh733B2b6XFlG8JxzB4BvAV4B4L0/kXv8eWBzOWparNbW1nKXUFWUtz1lbkdZ21PmtpS3PWVuR1mH97bBvYVOZpOIRSAJUTf/rREmKibzeDRCJggKI5KpTED/WJrtq1cs6rWXonKsorkCeAZ4p/c+6Zzb75xb55yrB14JnLSuqRQ2bNhQ7hKqivK2p8ztKGt7ytyW8ranzO0oa8gU2+Dl7sNbyN53ExWTeX4lzXQ2rO3uSBLvPe0VtD1CXjn2wftpwlG6DzrnjgLfDHwYOAV8ynv/pTLUtGj5ucFiQ3nbU+Z2lLU9ZW5LedtT5naUNWSLbPDiuZU05zpuLsVkHo+Er5UJwgVgeoaSxCIRWusrb5ZgPbIAACAASURBVFGccqyi+V7gvVMefp91HSIiIiIiUnpBbo2PWLEjeIucolmM/AjeZ890s6W9gZ6hJCtXJBY9ergUlWMEryLF4wvbt0MWRnnbU+Z2lLU9ZW5LedtT5naU9b0pmnM1bjW5Eby5GsG5FJN5e2MNO9c0URuPcrN/nOFkpuK2R8gr2yqaC7VUV9EUERERERG4cHuI012DvOWxtfedfnnl7ghHr/WztX0Fe9Y1m9T21Uu9dA2EWyy8ZmcHTbXLsyG/3yqaGsErkdOnT5e7hKqivO0pczvK2p4yt6W87SlzO8oasr7Ie/CipbkHbz6Z5zdfr4lFl21zNxc1eCWS32xRbChve8rcjrK2p8xtKW97ytyOsoZM1hfVtCVKtMjKfDLPN5VtDZW3uEqeGjwRERERESmZwPui7qvLN3gWi6xMfc3aeOW2QZX7lRnbvXt3uUuoKsrbnjK3o6ztKXNbytueMrejrMNtEopp2mpjUaIRR10iuqjXW0jmsUjltkGV+5UZ6+7uLncJVUV521PmdpS1PWVuS3nbU+Z2lHXY4BU7RfP1u1aztrl2Ua83n8wzuY3O89smVCI1eCXS09NT7hKqivK2p8ztKGt7ytyW8ranzO0o69wIXpH31dXGo7hFTtGcT+b5rRE6KnSLBCjDRuciIiIiIlK50llf2MR8qWlvrOFb965ddFO5lC3N5JehjRs3lruEqqK87SlzO8ranjK3pbztKXM7yhqSmWxhE3ML8828kps7UINXMpEKvlFzKVLe9pS5HWVtT5nbUt72lLkdZQ2pTEBNbHELp8yHMp9MaZTIpUuXyl1CVVHe9pS5HWVtT5nbUt72lLmdas86CDypbFDYjsBCtWc+lRo8EREREREpiVQ2ADCdoimTKfkSWblyZblLqCrK254yt6Os7SlzW8rbnjK3U+1ZJ9Nhg2c5glftmU+lBq9E1q5dW+4SqorytqfM7Shre8rclvK2p8ztVHvWyWwWsB3Bq/bMp1KDVyInTpwodwlVRXnbU+Z2lLU9ZW5LedtT5naqPev8CF5N3G6RlWrPfCo1eCIiIiIiUhLJTG6K5hLdB68aKPkSqampKXcJVUV521PmdpS1PWVuS3nbU+Z2qj3rVCYg4pzpPXjVnvlUzntf7hrm5cCBA/7QoUPlLkNEREREqllXFzz5JHzxi7BmTbmrWTK+frWP7qEkb9ytTB4k59xh7/2BmT6nEbwSOXnyZLlLqCrK254yt6Os7SlzW8rbnjJ/AA4ehMuXwz8nqPasw03ObVuMas98KjV4JZJMJstdQlVR3vaUuR1lbU+Z21Le9pR5iXV1MfK//4LzbQ/BM8/ArVuFT1V71smM7SbnoMynUoMnIiIiIjIfBw/ylbW7ONO+iXGi00bxqlkyE1ATs1tBU6bTPXglkkqlSCQS5S6jaihve8rcjrK2p8xtKW97yryEurpgyxY+sWE/qWiM17/wVRpiDl58EdasqfqsP3b8JptWNrBnXbPZa1Zj5roHz8DNmzfLXUJVUd72lLkdZW1PmdtS3vaUeQkdPAhBQOAcAJlIFLLZwiheNWedyQZkA29+D141Zz4TNXglcvfu3XKXUFWUtz1lbkdZ21PmtpS3PWVeQs89B6kUgQt/jU5HY5BKwbPPAtWddX4PPOspmtWc+Uxi5S5ARERERGTZuH4dgODoDQDGNrRyKxphTXNtOataElL5Bi+uMaRyUvolsnnz5nKXUFWUtz1lbkdZ21PmtpS3PWU+P957Pne+h1sD43QNjDGezs567It3RvjKpbsMJzNAdWd9bwTPtsWo5sxnogavRIIgKHcJVUV521PmdpS1PWVuS3nbU+bzk856+kdT3B4c56uXevnyxdmnAA6Ph41d30gKqO6s8yN41tskVHPmM1GDVyJXrlwpdwlVRXnbU+Z2lLU9ZW5LedtT5vMT5FaZ7x9LAxRG5/Iy2XsNRSbXXPTmGrxqzjqZCUc6E1HbFqOaM5+J7sETEREREZkgG4QN3tB4esbPp7IBP/rxH6V3rLfwWOBGGY8e4t1b380TTzxhUudSk8wExCIRYsYNnkym9Eukvb293CVUFeVtT5nbUdb2lLkt5W1Pmc9PfgQv3+hNlcoEPNH5BLHIvbGSiK8nEamnrrnOpMalKNzk3L690Pt7MjV4JdLR0VHuEqqK8ranzO0oa3vK3JbytqfM52euW7pSmYBv2/VtEBkDwLtxAOI0830v/74HXd6SlUxny7KCpt7fk6nBK5FTp06Vu4SqorztKXM7ytqeMrelvO0p8/nJ+plH7vKSmYCW2hbeuucbiMQGSUUuEotE+bYd30v35W6jKpeewfEMK2rs7wDT+3syNXgiIiIiIhNMnZoZeF9YIRLCe/AA3vu6nyYTO0vW3cVFMnzvY/++cMyRq308f6570vMq2Xg6SzKTpakuXu5Sqp4avBKpq6ve+dbloLztKXM7ytqeMrelvO0p8/kJZhjBO3T53oIqyXSAc44NLet4x753EHER3rDlNTQlWqmrq2M4meFa7ygDY2l6hpOWpZdN/2i4IE1zGRo8vb8nc36OIeil5sCBA/7QoUPlLkNEREREKtTN/jFe9gffPWmVTFyW0egXWde4jo99x0luDYzzpj1r6Brq4slnnuR3XvMJWmrbeHLbKs7dGuLsrUEANq1sYO/6ljJ9JXZO3hjg8t0R/tWeTqIRV+5yKp5z7rD3/sBMn9MIXokcP3683CVUFeVtT5nbUdb2lLkt5W1Pmc9PNvA80fkE0ei9bRI8AYlogqd3PE1qwmqRnY2dXPzxi6xuXEU6G3Ds2DGu942yakUNbQ0JRqbsoVepBsbStNQlytLc6f092aIaPOdcjXPuu5xzP5H7OOKc21Ca0paXdHrmfVLkwVDe9pS5HWVtT5nbUt72lPn8BN7nVskcnfBolqiL8tPf+G66BsZITNkOIB6NMDie5p9eHGI4meGh1jrq4lHG0lnb4ssklQ2mZWJF7+/JFnsV/gboBN6V+3gF8Hf3e4Jz7iHn3Kedc5edc+/OPfZe59xp59x7F1mPiIiIiMiiZANPS20Lb9v7KoL4eQI3TNzV8z17fpBbvTUA0xZPiUcnj1x1NtdRl4gymsqy4Fuiurpg61a4dWthzzeUyXpiUU3NXAoW2+BtA34LSOU+zgA1czxnJ/AzwGPATznnngDeAuwBvsU5t3GRNZXF3r17y11CVVHe9pS5HWVtT5nbUt72lPn85BdZ+flX/xeI9pOKvEjERXhy9Q8VFk0ZnzIy5wibm40bNtKQiJGIRahPxAi8J7nQlTQPHoTLl8M/l7h0NiARLc8Int7fky32KnwQ+FtglXPu94CjwJ/c7wne+89474957weBa8B+4Jj3PgCOAa9eZE1lcfXq1XKXUFWUtz1lbkdZ21PmtpS3PWU+P7ldEHioqZN37HsHRAZ52xOPsLuzs3DMgU1tk55Tl4gC0B4d4VXb2wFoya0oeWtgfP5FdHVx/f/+HRdbOuGZZ5b0KJ73nnQ2KNsInt7fky1qJ0Lv/fudc/uAVwIO+DPv/deLea5zrhlYCbQBV3IPXwZWz3Dsu8hNA123bh2HDx8m//f6+nouXLgAQHNzM1u3buXIkSMARKNR9u3bx9mzZxkZGQFg165d9Pb2cvv2bQDWr19PIpHg4sWLALS2trJhwwaOHTsGQDwe57HHHuP06dOMjY0BsHv3brq7u+np6QFg48aN3Lp1i76+PgBWrlzJ2rVrOXHiBAA1NTXs2bOHkydPkkyG/+rz6KOPcvPmTe7evQvA5s2bCYKAK1fCKNrb2+no6Chs3FhXV8cjjzzC8ePHC/OM9+7dy9WrVwuvu3XrVlKpFNeuXQNg9erVtLW1cebMGQAaGhrYuXMnR48eJZsN/9Vp//79XLx4kYGBAQC2bdvG6OgoN27cAKCzs5OmpibOnTsHQGNjI9u3b+fIkSN473HOsX//fs6fP8/Q0BAAO3bsYHBwkK6urgd2nYaHhxd0nSKRCJcuXdJ1WsB16uvrY8uWLSbfT9V+na5cuVKow+L7SddpGzdv3iycc6n+3Kuk6zQ6OsqaNWuW/M+9SrpOAwMDbNmyZcn+3Ftq1+lyfxqa1nDt2jW+e+V3s3LrSt6+7+1kg3EuXbpExMHeljTNNfeuUyKR4PW7dvEvXzjLiWMjhes0PtjLZ75yhcfX1Mzv++mLX+Tz3/tjbPzUJ3GbGuj76EfhpS9dktcpHXgGRupJNkc5fNj+++n69euF9/FS/bn3IK7TbBa1TYJz7huAE977kdzHncCj3vtPFfHcXwACIAk0eO9/wTn3S8Cg9/7XZ3veUt0m4fDhwzzxxBPlLqNqKG97ytyOsranzG0pb3vKfH5O3hjgyt1R3vxY56THB0bTPH++G4Cn962b8blTs750Z4Tj1/t5ans7LfWJ4gro6oItW3h280vD1zrzz1BXBy++CGvWLOArerBGUxk+ffo2j69vZcPKevPXr8b394PcJuEDwMR36l3g/UUUdAD4FuDXgFtA/r67jcDtRdZUFlu3bi13CVVFedtT5naUtT1lbkt521Pm8xN4z0y3k+WnYd7P1KzXtdQRjTiu9o7O8owZHDwIwb379jIuAtnskr0XL50JB4zisfJM0dT7e7LFNngBkxu8ZuC+bbtzbgXwDPBO730S+Cdgr3MuCuzLfbzspFKpuQ+SklHe9pS5HWVtT5nbUt72lPn8ZANPxE1vVvLbAOxc0zTrc6dmnYhFWFETY3g8w5W7I8UV8Nxz+AnnScYSkErBs88W93xj+a0gamJzN8APgt7fky22wftvwFHn3HPOuY8Cx4FfnOM5Pw1sBj7onDsKPE24UMtJ4K+999cXWVNZ5OfXig3lbU+Z21HW9pS5LeVtr1oy7xlK0jOUXPR5whG8mUejnt63jh1rGmd97kxZx6MReoaTHL3Wz43+sbkLuH6dZCoDH/4wfPjDJPsGwHu4vjR/Te4fS+Gco6l2Uct7LFi1vL+LtdhFVp51zn0R+AbCZvGHvff3XeLHe/9eYKb97pbmmLOIiIiILFlBEE4PdA6+dPEOMPv9ccXKBhCZpcFbiNiEc42lMkU9Z+LWCsnM0t4svX80TWNNjFiZtkmQyRbdZnvv7wAfK0Ety9rq1dMW/5QHSHnbU+Z2lLU9ZW5Ledur5Mw/eeoWNfEIj69vLdk5s4EnOsMUzWLMlPXExieV8SQz2TmnM05s6jLZuRdFDAJPJvCFaaSW+kfTdDTNtRX2g1PJ7++FWFCD55x7nff+s865H5/p8977311cWctPW1vb3AdJyShve8rcjrK2p8xtKW97lZq5955UNiCVDXj0D15C32ALAKP/3z+T23ecdY3ruP5T85vaeL8pmnOZKev4hP3hLvYM80LPMK/d2YEDGmpm/nU8mb43gpfOTt8oPZMNyASe2njYKH71ci+3B8cXPXo5X2OpLMlMtrDnXzlU6vt7oRba4ufXIf05oAVonfJf1cnvaSE2lLc9ZW5HWdtT5raUt71KzXxw/N50x9dsfCOxSL5ZCpuNRDTB0zuenvd5Z1tkpRgzZR2LTP6V23vP1bujfObMbW7Ock/exCmamWD6CN7nX7jDJ0/domtgjK9eCps7gPG07XTO/rFwgZOit4B4ACr1/b1QCxrB897/Wu6vt7z3v1TCekREREREijKxmXn7oz/Ix06Hm2pHSBCQJuqivOep98z7vFnvqS3lPXgTRvBetb2d5891FxqjM12DBN5zrXeMxze0FEbkkpksP/rxH6F3rJd05DrpyKXCOdY1ruP3X/sVAL56qXfSaw2NZwrnKFYQePrH0rQ13L9JG05miDo3abuI/tE0zjmayziCJ5MtdpLuT5akigrQ0NBQ7hKqivK2p8ztKGt7ytyW8rZXqZlPHNnKZFbwms2vIhaJ4XwdiWiCd+x7B2tWzH9j8CCYeR+8YsyUdX6RlXg0QmNuSuZIMmxOh5MZDl/po3tonCt37+2Vl8wEvPShx4lGIeJX4Hy4E9lMo5L7N7Tyym3thfPN1/EbA3z+Qg9jqfuP/n32zG0+dXrCeopdXfR/23fQODq04CmtpVCp7++FWmyD93hJqqgAO3fuLHcJVUV521PmdpS1PWVuS3nbq9TMs1MWH/nVb34HzkGExgWP3sHipmjOlHV8QrcYiThqYhFGc6tpThxtm9gkJdMB3/PYvyVClKhvpS57IDzGRfnZV/zXwnE1sQjr2+ppa0gQj0YYHp9/g9edm945kspwdzjJyIQmsW8kxXAyg/f3si78/eBBBvpHaP3wB+f9mqVUqe/vhVpsg/fdzi3w3V9hjh49Wu4SqorytqfM7Shre8rclvK2V6mZZ4J796k9sbGV7e3recPDryBGy4JH72Bxi6zMlHVNbmXL/GIpE1fQfO3OjglH3muikpksnU2rePXG1xXuLayJhF9XQ2xl4bi2hnurVzbUxBgaT8+r3vF0trBR+fB4hi+8cIfPX+gpfP6fL/Tw2TO3GZ0wujc4loGuLkY/9GGSkSgt//cv4dZ9d0p7oCr1/b1Qi23wfhX4Ledcu3OuKf9fKQpbbrLZpb0/SaVR3vaUuR1lbU+Z21Le9io182xuiuabH+1kdVMtAD/ysu9jdf0W/uur/tsizsuCR/Bmyrp1yr1tNfHwV3Dn3KTRvbFUwAvdQ2SyAclMQE0swrft+rZCLXG/krfv/k/0jYb37+1Y08i+9S2F5zfWxhia5xTNidNCX7wzDNxb4CWYMAX2a5fv3et3dyQJBw8yGK8DoGl0EA6Wb0vrSn1/L9RiG7yfAd4MfBU4ChzL/SkiIiIi8kBlc1MFJ+4zt719Lb/9xt+hLrJytqcVdd5S3lMWj0bobK7jkc5wHCQ/LTOee41NK8N7yC7fHeHUzUFuDyVJZQJqYlFaalt4auOrITLOGzZ8H7f745y6OUjEOXasbpy0711jTYzxdHbGbRVm0zeaoqk2zpqm2sLWDDWxCOPpLKMTFrFJZz271zZRG4/Sd7WL7P/6ICMu/DrqR4fgmWfKOoon9yx0H7x24KeAF4G/Af6n9368lIUtN/v37y93CVVFedtT5naUtT1lbkt526vUzDNZP20LgvxKkL2jqWkjZ8Xw3uP9wu/Bmy3rl26+t1dbbW6KZiTX4O1d30LvaIrBsXB6Zd9IisB7auIR3vDIah5Z9/288YOf4V/v/PbCOVbUxJh6p9SK2vBX++HxTFFfexB4+kZSrGmu5fEN4U5nJ28McLFnmE+eujVpdHHTynoe7mikfzRNzx9/mH/c+DijuQavJpOCSCIcxfv935/zdUutUt/fC7XQEbz/DaRyf24HfqNkFS1TFy9eLHcJVUV521PmdpS1PWVuS3nbq9TMs8H0kbbaeJT6RIy+kdSCzpnKjX4tdASvmKzzUzQnLlxSG4tSlxvZu9gTTpWsiUWoT8TY1v4QX/zBT9Bc2zztHBM11oZbFQwVudBKz3CSVDags7nuXh25GuoTscK017CW8PG2hgTJI0cLzR3k9pRPpeDZZ4t63VKr1Pf3Qi1oBA/YAbzJe++dc58EjpSwpmVpYGCg3CVUFeVtT5nbUdb2lLkt5W2vUjPvHUkVtiCYqK0hzt3hhTV4A7lRtKa6hf2aXEzW+SYqPWEV0Mc3hPfSff1qP91D4ySiEVZOWEClfUUN61rqaKqLc6ZrcOJ6LAUNiSiJaISe4SQbVtbPWcf1vlES0Qgdjfdep6Ophr7ROvasbaYuEeWRziZOdw2wtiVs9ta21NH3fz7A9tWN/OPZ7rAp3b2wxWxKpVLf3wu10AavBfibCcPCm5xzf5v/wHv/1sUWJiIiIiIym2u9owzOsmJka32C631jjKWykzblLkb/aHjOlrr5T+8sVlt9eO5g4gherul7YmMryUyWeDQyaQuFWDTCgU1tjCQznOkaZE1zLVM551jTXEvXwDhB4AtTQGeSyQZ0DYyzvrV+0nFNtXFesunedNK6RJQnNk6YXhq/9/Gb9qzBoQX1l5qFNnhPT/n4dxZbyHK3bdu2cpdQVZS3PWVuR1nbU+a2lLe9Ssw8P9I2k5ZcAzUwlp53gzeezlITi0xavGQ+ism6LhHl8fWtxGPTm6PEHK/dUBPjjbvXTGr+JupsruNq7yh/d/wmL93cNmn65US3BsfJBp6HWmf+fDEmbvdQTpX4/l6MBTV43vvPlbqQ5W50dJSmpqrcIaIslLc9ZW5HWdtT5raUt71KzHw8PfvS+FP3nZuP9AwLt8xHsVkXM4VyNrM1dwDtE6ZbfvVSLy31CXataaSjafKI393hFPFopLAozXJWie/vxVjsNgmSc+PGjXKXUFWUtz1lbkdZ21PmtpS3vYrJvKsLtm6FW7cYHE8Ti0R48uFV0w7Lr/6YWkCDl8kGRKMLn3ZY7qyjETepAewfTfHlF+9ydcJ+dxBuj9BSH5+2EudyVO7Mlxo1eCIiIiKyPBw8CJcvkz14kOFkli3tDaxcUTPtsHiuQcuP4E1crXIumcATX8QI3lLw5MOrWNsSTr10ztFYG+N6/yhX7o4wOJ7Ge8/QeIbmuniZK5UHYXm/e5eQzs7OcpdQVZS3PWVuR1nbU+a2lLe9isi8q4v0B/+cc23rGfyLv8b39dM0S4PinCMejZDOhI3dyRuDfOninfue3ntPJhuQzgbEFjGCtxSybqiJsXlVuHl6xEFHYy09Q0mOXuvna5d6GUtnCbwvbMuw3C2FzJcSNXglonm/tpS3PWVuR1nbU+a2lLe9isj84EEutKzjbPtGTrdtgI/+LU21sy8nEY9GClM0e4bHGRy7/95wx49e5O9f9zZSd3oLI4ALsVSyzk/T9B46J6y4OZzMcPRqP8C8F6BZqpZK5kuFGrwSOXfuXLlLqCrK254yt6Os7SlzW8rb3rLPvKsLnnkG0uHKmXcSDUSef54VfbOPysWjjnQ2IJMNGBrPkMoG952qefmZv4SeO4z91f8luogpmksl6/zoXGdzLW0NCda21LGmqZZNKxvoGU4C4ebqlWCpZL5UqMETERERkaXt4EEIAhLZe1sjNI4N4973vlmfkohGSGcDBsfDkTvvPcnMzIuuBDdvEnn+n8AH8LnPEevrLW39ZRCNOF63azWPb2jFOcdLNrXxsi0r2b22ifpEOPJZKSN4MpkavBJpbGwsdwlVRXnbU+Z2lLU9ZW5Ledtb9pk/9xykUkzcU3t1/2149tlZn1KbiDKayjI4Yb+82Rq81PveTwDUpZMQBMT/5I8XXOpSynpFTYzolM3OY9EIBza2smXVisJ2EsvdUsp8KXDzWVVoKThw4IA/dOhQucsQEREREWNnbw1y7tYQ8WiENzyyurAdwkzO3x7iTNcgD7XWc70v3CLgG7eupKNx8n5wdHUxsuMRPvPQY+zufpHzqzbyaN811h/7CqxZ8yC/HJEFc84d9t4fmOlzldG2LwFHjhwpdwlVRXnbU+Z2lLU9ZW5LedurlMwz2XBg4k2719y3uYNw9ArgZv8YNbl7zdLZGQY2Dh4k/3BdKsk3nf8y6/tvhdNCF6BSsl5OlPlkavBKZLmNhC53ytueMrejrO0pc1vK216lZB54T00sQiQy9yqXK3IrbAbe09aQACA7U4P33HMEmfA+vagPiPkgnA56n+mf91MpWS8nynyy2deWlXlxbuHL6cr8KW97ytyOsranzG0pb3uVknkm8EWvcNmQuPdrbltDnK6BMYKZGoHr18kOJ+GFO0S2roSpUzjnqVKyXk6U+WQawSuR/fv3l7uEqqK87SlzO8ranjK3pbztVUrm2cATK2L0Dpi0uEj7irBpy84y0pN/PFqCRqFSsl5OlPlkavBK5Pz58+Uuoaoob3vK3I6ytqfMbSlve5WSeSbri5qemRfLjfYVpmsGszR4ucenrji5EJWS9XKizCfTFM0SGRoaKncJVUV521PmdpS1PWVuS3nbq5TM5zOCB/C6XR1kA19o3GYbwcv3ffNpHmdTKVkvJ8p8Mo3giYiIiEjZ9AwlOXylt6iFMjJBMK9Rttp4lIbcaprRiCuM1E2VX3ylFFM0RcpNDV6J7Nixo9wlVBXlbU+Z21HW9pS5LeVtb6lmPpzMcOhyL9f7xhhLZ+977Hg6y+B4hqba+IJeK+ocwcz7nN+7B68EI3hLNetKpswnU4NXIoODg+Uuoaoob3vK3I6ytqfMbSlve0s188NX+khlw64rmZ6l+wIGRtOc6RrEe8/GlfULei3n3OyLrORG9iIlGMFbqllXMmU+mRq8Eunq6ip3CVVFedtT5naUtT1lbkt527PM/Eb/GONzjMYBJDNZ+kdTrG2py30ccHc4yecv9HDpzsikY58/383V3lHaG2sKUy7nK3afKZr57RPmc3/fbPT+tqfMJ9MiKyIiIiJSEqlMwKHLvQB86961s+5PdrN/jK/ljutorOFm/xjX+0a50T8GhPvdBd6zvnXyaN2GtoWN3gFEIsy8Dx4TRvBK0OCJlJsavBJZt25duUuoKsrbnjK3o6ztKXNbytueVeYTR8j6RtO0NSRmPO7OcLLw9/bGGgBuDowD0NFYS/fQOCdvDHD+1hAt9eE5OpvrWJcb7VuIiHP33SahFPffgd7f5aDMJ9MUzRKpr1/4vyjJ/Clve8rcjrK2p8xtKW97VplnJqxicjM3GjeT4fEMK2pivGzzSuoTMeLRCN57auNR4tGw0VrfVk9zfZzuoXHi0Qh71zfPOiJYjGjk/vfglWJ6Juj9XQ7KfDI1eCVy4cKFcpdQVZS3PWVuR1nbU+a2lLc9q8zz/d2PfvxHeekfvxH3Xjfpv4d+fTtfu9xL32ialvoEa5prAViRu6+uPhEtbEq+ddUKXr51Fa94eBWv2t5OTSy6qNrut4rmWDpLbXxx58/T+9ueMp9MDZ6IiIiIlER+BO/JzbuIuwYivrHwuXq287L27+H24Dj1NdFJ0y3zTV1dPMr2jkZeta2dJOHP+QAAIABJREFU5vpwO4RVK2oKDeBiRKaM4I0kM4W990ZTmQUv3iKy1JSlwXPO/alzbsQ5ty/38WXn3HHn3FHn3JvLUdNiNTc3l7uEqqK87SlzO8ranjK3pbztWWWevwfv5576IZyDeLAJvAMfIeE38PSOf8PGtgZes6OjMHoHsKohvA9vTXMtkYijdZZ79xYjGrl3D95IMsNnztzm8xfucORqH0PjGWoXOUKYp/e3PWU+Wbn+qeJDwIEJH6eBvd7PMjF6Gdi6dWu5S6gqytueMrejrO0pc1vK255V5plcA7WxdS3f9PDL+eSFL+H9Nojd5KmHnqK5tpmW+ukblW9YWU9HU03JpknOJBZxhT330rk/+0ZT9I2mAGasayH0/ranzCcrywie9/5zQP+Eh3qXc3MHcOTIkXKXUFWUtz1lbkdZ21PmtpS3PavM8yN40Yjj4De9i4hzxII1xKjnrbveCjDrdMsH2dzlz5/MBHjvC40owJMPr+KNu9fwUOvCV+icSO9ve8p8sqUy2bjeOfcV4DLw/d77ScsuOefeBbwLwmVQDx8+TP7v9fX1hRsrm5ub2bp1a+EiR6NR9u3bx9mzZxkZCTfM3LVrF729vdy+fRuA9evXk0gkuHjxIgCtra1s2LCBY8eOARCPx3nsscc4ffo0Y2NhWbt376a7u5uenh4ANm7cSDKZLNS1cuVK1q5dy4kTJwCoqalhz549nDx5kmQyXBb40Ucf5ebNm9y9exeAzZs3EwQBV65cAaC9vZ2Ojg5OnToFQF1dHY888gjHjx8nnU4DsHfvXq5evUpfXx8Q/utFKpXi2rVrAKxevZq2tjbOnDkDQENDAzt37uTo0aNks+EGpPv37+fixYsMDAwAsG3bNkZHR7lx4wYAnZ2dNDU1ce7cOQAaGxvZvn07R44cwXuPc479+/dz/vx5hoaGANixYweDg4OFTScfxHUaHh4mk8nM+zpFIhEuXbqk67SA65Sv3+L7qdqv0+DgYOHnicX3k67TNsbGxgqZL9Wfe5V0nUZHRxkdHV3yP/cq6Trlc3zQ3081Kx9ioH+A48e6qIk63rnntfzl6a/yH7a9j96uXsZqx2jY01mW65Qay/Liiy/yL8mbRGobCbL1XLl6hY5UFw21iZJdp/7+/sLPk6X8c6+Svp9GRkYKmS/Vn3sP4jrNxpVr4Mw59zzwH733R51zu4ErwEeBv/Le/8lszztw4IA/dOiQUZXFO3r0KPv27St3GVVDeT8YD/3mQ9wYvE3MryLjbkFuxeh1jev42Gs/psyN6P1tT5nbUt72rDJ//lw3A2NpvvnRTuLRCBd6rvNNH/hJ/udb3k8mU8+2jkYeWdv0wOuYSX5z9Vdv72BgLM3Xr4W/iD+9r7R7qOn9ba8aM3fOHfbeH5jpc0tiFU3v/Snv/TDwSWBzuetZiGp7U5Wb8i6xri6S23bwxjVvpolXkAi2E/WrAEhEEzy942llbkhZ21PmtpS3PYvMx1JZBsbC0Yxobr+6h1et44+/5ffIZMJ9yra0NzzwOmaTnwI6nsmSzq32+ZJNbSV/Hb2/7Snzycre4DnntjjnHnHOxYHXAifLXdNCnD17ttwlVBXlXZwg8Hz54l1O3hgorBw2o4MH+XLQxKu+2kEkN3O7JniEWLCWqIvynqfeo8wNKWt7ytyW8rZnkfloKlP4eyS3abhzjpc/vIr6RAznHDWx8v3q2VATJeIcN/vHCousdE5YybNU9P62p8wnM78Hzzn3KuB3gYeBjxCuqPlk7uN/Af7KuqZSyM8lFhvKuzg3B8b4zo/8e3rHesm6PpKR0+DCed7rGtdx/aeuQ1cXh//hSwzUNtPy/L/w1A9/I5+99TGCTBP17ORte/awZsUabozcKPNXUyJdXZx4y3cRfOAD7N1XxlW3urrgySfhi1+ENWsmfUrvb3vK3JbytmeR+Vg6O+PjK2pivHLbKoaTGVxuZK8camJR1rbU0T2UZF1LHfFo5IHUo/e3PWU+mfk/o3jv/9l7v897v8J7v8N7/z7v/Zu89w9777/He5+Z+ywiUoyRZJYnOp/Axy8T9a0kfNjQ5KddprMB3e/7Na6vWAlA52APv3yym2z0OgARF+HJ1T/EP569zZ3R8H/cA2Npzt0aKvzr5wPR1QVbt8KtWyU/9Zlf/m1eHHdcfuYveLFnuOTnL9rBg3D5cviniEgFGEuF/594anv7tM/VxqOsWlFjXdI0DTVRxtNZkpkssUj5mk2RB2mprKK57O3atavcJVQV5V2cVCbgO3a/lU/e/GWCTD2xYA2eMaLRQX76G9/Nxz9/Br5wAjLhv6s8fOsSbR84z/d/8Dv54zMf4u2P/z+86uGNvHhnmNG6Dk5cH+DFO2FTFIs6traveDCF55qfh37/YbqijoBxcPf+7acw+jhPA5eucf7z/z97dx4m113f+f79q726qnrfF6lbu7VYsty2g228YDBgIAQyBGbCBAyEYRyekJnJ5N474Bm4yswkmZvcmYAzAzdEMQRIZggEsoAHjG3AhtiSrNVaW61Wd6t636u61nPuH9XdUllbt1R9ulT9eT2PHsunlv7Vp49O1bd+235+4+3DjAd/gP35v2fW/fObft4li0aJf/XrnGjcyM4/fxr3k0/m9eLp/HaeMneW8naeE5nHU1n8HheVZYXfpLxQgnPz8GaSWTzu5SnwdH47T5nnW/E5eKVibGxspZuwqijvxUllszSEa3h81+MYT261sCAbebTltzlyHvjWt8G22TZ0lge7D1A9OwXZLE/+GNor2/nsw5+mvTbE7a2VTExNc3ZkhrbqMlzGMDiVWJ5GR6Nk/vxpjtZ1cPfZnYTtuwlad4Kde1MOuGp5x/r3LukpM1mL3rE4A3/4ebBt3nHyNNjdGNsHdu57rvlezULKZC2ik7OX37BnDwcb1tNb0cCYr+yyXjyd3xclrjLkq9CUubOUt/OcyHw6kSHsL8xm4ctlvsCLJTO4XcvzMVjnt/OUeT4VeAUyv3+HOEN5L04yY+H3unjygSfBPUnSfQyXcfGh3e8DoO7FH7FhsJuOsQtUJuaGK6ZSNH37h3T9ZheN4VyvUm3YT6Mnzq62SnavqaKjNsToTIrMcgzT3LOH7opGuqpb+PVXZ7DsPoztx29twWVXEsju4r6GT2BZNqmMRSKdvWY7RmeSPH9ymAOHuznxkwOE4jN89vkU2HEAyrL3Ymz/wmIyF7O79vMuxvHoNC93j3G0f5KZZIaj/ZOMne2FvXuZcuWGKmWyFuzdmzccdTWc36mMtTCc60om4il6x+I8c2yAA+fHGYulWM5tfVZD5sVEeS+PCxOz/PT0yBUX1XIi8+lEmkiguAeHBXy5Ai+dtZZtiKbOb+cp83zF/a9QRG5KKmMR9LppijTx+K7H+eL+L/LP7tzEe3Zuzt1h/48W/Vz1IQ9ra3LLWzdWBOganuHU4AyprEV5wEMqa7GpPrKwchpwzYVErigazRU/Ne2UpRO85cxh/vkhN1+9IwRWJX67gQfbH6QiUMEzxwZIW/bCh/71dWFSWYttzeX4Pbk38LPDMxy9MEWZ1822b/45vYkYW4a6aJqBDx6e5Bu3z5J1BQlzN+/b2knEW0s8lWEsluLV8xN43Yb7N9YR9i/9UpnKWPRP5IrIruEZuubm+019+Ut04iLp8fLJx2Ag5CfjGoUvNi089t+t/3fceeedS/6Zt4Lo5CynBmeYiKcAaK0KMpPMEva7ua2pnPNjcU4OTOc9pncsTu9YHL/HRWd7dVHM4xEpNpOzaQ6cHydr2SQyWcp8zn7ES6SzpLJW0Rd48z14AK4VXPBFZDkV97/CW0hbW9tKN2FVUd6Lk8pYVARzw2WefOBJnul6Jq+Xaikuzbw27Ke1KsjpofwP4mOxFHe3V+Nxzw0OuHQhkaeeAuY2U5++fEXOlkgLvWd+kQlfGX3l9TTM5IZbPPkTF3vvOEzCZVNu7uCXt76X1qogibRFTdjHTCJD/8TsQgHlcRlqwn7KAx5ODU5TE/Jxd0c13r/5Bhv6L/7czz6f4Ss7XyHpDlJu7uTBpo/xw+MXvwH0uFxkLXj2+CDNlUE611ZdttrawGSC16KTAEQCXmpCPporg8ymshzunySVtXlwUx1nhmbon5ilIuhlYv8h+oOVANwZhR90eMlcMpbC5/bhrnBTaizL5tXecfrGZxf2ogIYmExiYzMRT9E3fnE465rqMjpqQwR9bhIpi5lUrgf01MA0tRsKX+DpmuIs5V1A0Si9j/4ix/77V8iGcxuIp7OX9+Atd+ZTidz+d5FAcQ/R9LpdeFwuMpa1bHPwdH47T5nnU4FXID6fjxMDU4xMp+ioC2HbNg3lAbxuF5ZlE09nCfncK7o8cMEstVdmGfh8xTuBu1hYFy6Q+I1PEfj87wNVNEWa6PrNrht+vtdnfkdbFcm0xfBMEsh9ID8/Fuf8WJx1dWGIRun+9vdocnkI7N1L9tOfIVZdy6Pt7+Mvj36HdDZJxgyCyeJz+Xik7Z/xw/95lHjLdoDcfECgaTzN48dDfHHbLL+6+x7et3tzXoEAsCOTxbbhaP8k3SMxukcuLpe8rboMr9sFffmLpzQBj//9E3xx/xf5wB272NHcRCpjURXykUxbtNeWkc7a/OT0MBcmZukrD9BWXcZMMsPIdJLyoJfjA1OkszbVIR9jsRQXJmY50p8r+PweN3e1V1FZ5uPOtVVsb6lgcjbNz//kv3OY3LfI74+P8+z33o8/cxsuKkmZ07g9Mf7pzn+ObdsYY7Btm96xWU4MTLGlsZw1NWU3/DtcSYf7J+kbn2VLYzkb68PYgNtlsCwbY2BkJsV4PEV9xE/Y77n4JQG5LCvKvMSSGY5Hp+geidFRGyKeytA7NktzZeCmP1TqmuIs5V04iT3/kQNWGP7XX7Pt05/i2IWpKw4vX+7MpxO5hbCKvQcPIOhzMZ2wlq0HT+e385R5vuL/V3iL+Omhk2QrWgEYjeU+8BpjuL2lgonZND2jMW5vraSjNrSSzSyMK/TKOK2rq6tkh7AVyszv/h728AiRLz4FX/jDm36+12fucuU2r7Usm4xl4/O4GJ1JMTKTYl0djP/u73G4bh2Hq9ZQZmeJ//6X4fHHebD5Y3z78BGMlcbHBrJmlABhHmn7MPxZDbsbI9SG/QR9F4u4J6ejPLP3fv79Q09eVtwBC0MyG8oD9E/M0lAeoKE8QDpr0VwZvOprmu/V/OzDn6YxXHXF+7zr9maePzXEudEYrVVBXu4eXfggY4xh95pKWqtyRdeB8+P0jsWpCfm5Z111rrCcu1/A6ybgdfOGdTUcH5imqSJAZdzHI23v47lzz5OxMoTM7TzS+hDP7B8kGi9nbU2IcyMxZpIZvG4Xr/aOM5VIs7YmV7ReKYuCuMKXONfqeb3SyqO2bWPbufMkkc7SOxanvSbE5sZI3v3mh/TWRfzURa7dM7exPszIdJKTA1O0VQU5NThDz2iMk4PTBDy5/azW1YWYSWQI+d2srwtj2blC8np0TXGW8i6QaJTot/8eqtbwpqf/XzK/9WHAkJmbg5dIZzk3GmNzQ2TZM59OZPB7lvG6VEABr5vpRGbZ5uDp/HaeMs+nAq8AphNpzoyl6aiAHS0VjMykiKUypDIWh/omFu53ejD3oe5WuPhd1VyvTH/bDu7buxfzuuXdpUhEo0x989tQu47IXzwNn/m3y/Z7crkMvrk3ydqIn57RGD9/5RSZH/wMPEHCqVkqE9O0fesvCD3xzwlv3MjPhjfz1QPPQKYFv2ngLeveyBs3rL3qFyCL7X1srQri97qoDfnz5wJexWKe1+UydNSGOdw3wY9ODDGTzLCmuoyG8gA1Yd9CcQmwvbmCurB/off+SurLA9SXB4DcAisfv/v9vNDzAgn3QcrctXys8wOM942QTFsc7Z8k7Pdwe2slbVVBjl6YWpjP55orZrY0li+qgFmSS77Esb/wBaZmM7x57fv55tHvkbCGyZoJXAQIuOp5a/vFlUfTWQtDbnGfn58dpcznobkywPFobihv+01+wWWMYUN9mJ+dHeX7xwbIWjYel4u1NWULQ3SP9k/idbtIZy1ODc6QzlqUB71E/B6aK4OEAx56x+K0XFL4h/0e0pZNOmvhdbuIpzJ0DcVYXx9yfB6TyNVYlk0qa+V/htizhwlfCH82TWR2hun/57/Ar//Owj6lxy5M0Tcep9qBbQtyC6wU9/DMefPz8Ap+7RQpEnrnKgCfx8Wmpioe2tpAmc/Dukv294xOznIiOk3r3LfNL3WNcO/62lu2yLP27OFUVSsJXAz7I9SvUC9eVdWVe1sK6iaGosaSGeKpLJGAh2Ta4uTgNG3VQZoqrt6bdKPSWYuRmSRVZT6mExl6x+O0/v4f0F3RhD+Te9MvRG/rYjKvDfvoGY0x+NX/id8TYOtQNxtHe3M3+nzwx38ATz3Ff3joMzx9+M/IWhZ4Ynz+PV+jMXzzvdvGGOojgZt+ntdbW11GLJkhlszQUhVkS2P5Fe/n87hoq178EEqP28Xbt27kfbtv48sHn+PXdn+Qx7Zt5GzQTcuaejJZm9AlC7zsaqukpTLI+bE4yXSWM0Mz9IzGubujmuoyH+fH4jTe7JdI0SiTX/srXmvZRus3/47MJ/8th5NeHm75CH9z5CB+6+IFzoePB5s/Ru9YHNuG16JTuAzY5HoOZpIZhqYTVId87GipXpgPejPqIn6aKoK4XdA3PktLVZDtLRVsb6lg37kxspbNnWurePbEEIl0luqQD5cxjMwk6Z+4OMfvzNDFTe59bhfRSQ/jrw2ytbmcvvFZRmaSXJic5Q3rayi/RT603kocuYbf6l73HnSkf5JzozHeeXsztm1z/Eg3Ld/4JlNVbZQnYpBK4f3K0/C+f0GmNTfPd34RqulkZtkzn05kaK0q/HvccpgfIbJcc/B0fjtPmeczy7ns9HLo7Oy09+3bt9LNuEwmk8HjuXa9PDqT5Odnx7Bsm91rqxa+Qc5kLdwuU/zz86JRLtx+F/d8aD1jQciYIVLuEws3O7ZJNIvL+2Ylnvgkg3/1bdZ+4JeY+aP/xpb/djf98SMAeOx6MuYCmPzXncla7O8ZZ+B1e8TNz6XqmNtTrpCOR6c4NXjJYicTE/CpT0E6zR0XTrJmchCCQTh79qZ68RaTeTKT5YWTw2x/z1toOn2Uy87olpaFuXBPzM1/+8Sdn+Cpd6zMUN9iEZ2Ocv/e+3nxIy/SGG5c9Pk9NJ3gle5xsraN12XmVjT18vCW+htvzBNPcOJvfsDJymbweODhh/F97KPct7GW/+OHn+Ir+58jm3Xj8kzw/q0f4P1bfptkJrfdwXzPWcDrZveaKnpGY7RULc8XG5DrMQh63Xnz9eZNxtOcG42xvaUCt8uQzlr86MQQhlyRGPS5qQz6SGay9E/MkkpnsDALw2+bKoKMx1O4jWFHawXpuet0Y3mg+K/VtwAnruG3vCeegC9+ET7xCXjqKb576AK2bXN3RzXD00m6/+ALlD/zd8y4fHSM9bN96Cyt/9rFeNn9pFxnybj68Ge34bZrqArBud9+dtkyH4+l+PHpYXa2Vt50T70TekZjHOydYGtTORsbItd/wBLp/HbeaszcGLPftu3OK92mffAK5NChQ9e9T03Yz30bavB7XBzunWByNs3+nnH+/kiUk4PT1338ipvbn+zu/gTGiuKxaxc2n16OTaKvZTF535RolJ8+f5CDDRuI/cU3+PHLp+msey/l9gMErbvwWRtwUYnP7ePR9vdz4Pw4f3f4Aj87O8rAVIK1NSHuaq9me0sFmxoiPLq1gebKIN0jMV48M1Kw/bwm4qmF4m5zYyQ3nGxu8/LyZIy2yblVIbPZyzbTXqrFZO73uHl0WyPNp45gbBte/+eShU6efOBJ2ivbb3hVz1IyP1R0ft/BxZ7f9ZEA92+opbrMR/3cvMOpRJqZZObGGjK3TUXMeAhkUrSOXsA8/zy7AmnKA17+/YNPYnnOkXQfA/cY//ltv82Dm+pYWxPiDetqeGxHE2/f3sTDm+upi/jpbK9etuIOcqv1Xam4A6go87KzrXJhCJbX7eKhzXU8clsDd6ypYktjOY0VAdbWhLh3fS2RWD9v2tLA+rowAJsawtzRVkksleHnZ0fZ3zPOy91jnB+LL9vrWU2W/Rp+q4tGufC/vstz7bsZ+cu/hoEBvHPn8svdY7mFpA7sZ8rtx21bbBjLXVt/8aSFxwKDB2w3LsJ4XB5+oflNy5r5meEZ/B4XLbdKD94yD9HU+e08ZZ5vdZW6RaCyzMcb1tfwwqlhnj85tHD85MA062rD+DwrX3OnMhZZy2Y2naVreIZUxqKzvYrMPzzDSFkr/+bFbr63bgJD01xPVvSyTaJveXv2EPP4IZOhq6KR9Df/mvd/8L083/NDjJUbruWxa3CbJA81f5TeuQ99Y7EUNSE/u9ou76WrC/u5MJEb+nViYJryoJeKoPeG9lgbmk5wenCGkbkVLGvDfrY0ltNRG2L8e3+JGYhSnohd7EFLpeA731mxRXGu5GZX9ZScijIv92+sBXJDgwenEgxPJ2/ovGLPHrAs4r4AkWScOy+c4PaxHrz/9ffhqafy9lN8fNfjCwXpped7MVzDrubS+ZJXs72lgtuaLs5rbKoIkrEsdrRUsK9nnO6R2MJ+kCLLZs8eBssq+bX3lDEUCpP6H2soy76BjKsfiyQNoSa+95c/4OzIDFtbKwnM9Zo9OR3l63/4T/Fm1+BlTe653NP84qb30Tc1ze1z80xv2CXDRq36BkZiSQYmEwxMJmivCd3cczvIP1fgeVy3RntFlkoFXoF4vYufoxEJeHnTlnoGp5JMJ9JkLZve8VkO9k5wd0f1Mrby2pKZLGeHY5wemrmsh+mlrlEaXnoVhqbZeVsDH/7hb/IXrxzAa7UTsBt594a30hBqWPLPjKcynByYxut2kcrmPkRd+gYxEU9ReYXJ4UvJe8miUVJPfxXW7gagO1xH4Nkf8NjvfJQfd27l6QN/B5lGAqaV929/BxWBCmrDfu5qryaVta66KldzZZDRWCqv16086OXhzYsbTtc7FufYhSmMyc1vmtdQHmDT3BATv8dN4+mjN/Pqr2pZM5c8N5p1yO/B73ExOZvOO27buZVO46ksIzPJhV6q15v5h2ew8DDtD9E8NZxrS2I278uBm91PsVhdmvml3+rf3VG9sGVFe02Iw30TV70uyeLpenINcz3pibqN3BmFZ9uDZLy5Ai5jRvF44rx72y/SURci6MstMjSvKdLEoxvfyDOnXiJjZbC8p/ind/wTNtTVs//YJM8eH+SNG+vy5vYuRWbP7zI0OkP0P36ewY9/8uLQ5YoAGxuufF0pRuUBD9uay2moKPyemqDzeyUo83yag1ckzgzNcOzCJLvXVF1zkYasZS/sHXWtVQKnE2kOnJ9gc0OExorrLzqRzGR56cwoU4k01SEfkYCXntEY1SEfmxsjvNydW7ygNuznvg21RKejbPivd2KlG/C7g/zxW/+U+9evye1/NmdyNs3oTJK6iD9vZa3o5CwziQzVIR89Y/GF3q95D22ux+9xcX4szvHoFG9YV7Ow6uBiXbpE+6Xmc0uks8RTWVIZayGfTNYiOpmg9jO/Q/qrX+O5ttsJppO0TQ6yfnoI30c+TPT3PsO6P15HMu2mgrv5/GNfIOKr4K726msux//6NsykMnQPxzg/FucdO5oWteLjy91jjMVy+68NT+d67h7eUq8FICTPS10jxJNZ7ttQu7CQwKHeCQamEtRH/Jwfi7O+LkyZz83QdJIN9WFqw35ODExxcuDiUPG7O5Z3eOWtKJ21+N/HBmmpCl6xl16kIJ54Ar78ZZ5v2U5PZZjffFuCuPcCPmsdcfdLBL1ezn7q7EIP+uudG+9n+xfuI5Y9T9AbWLjveCzFT8+MYNk2mxsjbKgLX3WIM+TeR8+NxllTXYbbZUj09vP823+VpGXjdxsavvJlmta1UBfxazVKkRVwrTl46sErkNdee42tW7fe8OM31Ic5NTjNaCxFRZn3ih/aTw9Oc3Jwmsa5vb7qwn7W14dpuKT4mU6kOTkwvbBa3D92j9JcGWRHSwUBr5tEOrch9GgsyUQ8TWtVkMGpJGeGZshYFtUhH3e153oRByYTbG6MUB8J8IZ1NUQnEwvf/DdFmvjQ7l/ii/u/yEfu/ARtVbUc6Z9kcCpJmc9N1rYXCje3y7CrrZLasJ/XolOXFXRt1WVsb67glXNjjMwk84auAvSOz2KMydsj6/V5Zy2bo/2TdNSFKA94OXB+guHpJLvaKklmsgxO5YasnRuNLSwfPe+t2xrxuV388PggyYxF9csnqQrVAHBn/3Fq5jbc5jvfoemppxaGqP3Kzu00l9cwncgQXsLGri6XoTzgpTrk49xojHg6e9lwuvFYioqgd6HwG5xKEJ2cpbkyyF3t1UQnZ6kJ+R0dDnez57gs3s1k3V4TYn/POM+eGOQN62rwe930jMWxbZvzY3GMMQtbCkCul3xrUwUnB6ZpqghSHfIxk8zQsAyrkRazxWTudefmGPWNx9nWXH7LDEcrRrqeXMN3vwupFAmPn8oEPNwT4EftzWTcSXweV97w6Ctpr2rh13Y/dtlQ6mjPGba3rOVw3wQnB6YZnk5yT0fNVd9H+sZneeBLH2QweQjIAjbe93SQdB+jcXqUvj/9o6Ia9l9MdH47T5nnU4FXILOzs9e/03UEvC56RmP0jMZ4+/YmfB4Xtm1zYTLB2eEZxmIpgIXibXgmSTJr0VAewJqbM/dS1yjZuQ1O6yMBynxuzo3GGJxK8PDmen5yemRhxTtg4YNec2WQLY2RvJ62t22/+AZSE/ZTE84fynDpUC23XcGh3gmGpi+uHlkd8rGhPsyx/in294znPfaNG+uYSWQYnE6wrbkcn8fFfRtqOTkwTSpjEZkrmE4M5Pbw6RuP5/WSvT7v0ViSc6OYob/CAAAgAElEQVQxLkzMUhXyMTiVwOt28Y/dowv3mV/Jcv7v62pDdA3P0D8xS1WZj2QmV/iN/emfMzb/O7mtAV5XfM2/7s898u+oCdYxOZu+oV60+aLu2eODeT23IzNJXjwzwo6WCjpqQxhjeOVcrkXzHyhXomelEOe4LM7NZN1cGaSyzMtPTo9wcnAa/9x1ZN662tw8mUjAQ8jv4Senh3m1dxy/x8Wda6tW7Tfxi828vaaMntEYfeOzV923Ua5P15Nr6OvDtm2Shy6woT7MBweivPDdT5KyBhY93/1KQ6lnZ2e5raaMw3P7807E0xzum6Cz/cpTQ1IDg9zZNctzrR1krNzCTbZJ4s6O8u4TwHN7QXvhXpHOb+cp83wq8IqIz+0GchfRc6MxXMZwdniG2bkenttbKzFAmd9NRdBL90iMkwPTHO2f5MLELLPpLD53rlAKLezx4qI65OPA+XF+fnY0r7i7p6OGsViK5srADc0nef0iGW/e2sB4LMXITHKhx60i6KWxPMDZkRi2bVNfHsDndhHwuqkO+VhTkz8cdXNj/nLFzZVB4qkMr5wb59xojDKf+7KNh1MZi+hErrC07FxvV03Iz10dVXnDTu/pqCGVtfhZ1yhbm8tpqQwyOZvm1MA0QZ8bYwyPbm0gmba4MDlL3/jswkpb13rdteEbG8N/6RyIA+fHGZlJ5q3Qd6R/kp6xOBvqwmQtG5cxbLqF5jjIyinzeVhXG+K1aK73eX1dmJGZJAGvm40N4cs2Zz/UN0FjRXDVFndLUVnmo7LMx7mRmAo8Kbjh6STdIxdHmlSHfDy8qYMH1z7E93u+fN3eu3lXW8TKGMOG+jBBr5upRIae0RimZ4zbWysv65Ge/ZMv8p6DCV5ovnhdyJoR3BY8+WMurs6sXjyRoqM5eAWSSCQIBG5uSNNzJ4aYSuQvjlAb9rO+LkxDuf+yvZcyWYt9PeMMzu25VlXmY2drJRVll/cmvXhmhPF4ivV1YbY0Rm65fZxeuzDF6aHc/CBjDG47S31liI7aEEf6J5maTVMe9HJXezXJdHahtzFr2Rw4P86m+sgVc5lOpHn+5DB+j4ttLRULexM65TsH+wForQrSN371b5+qynzcs656UasALpdCnOOyOIXK+sUzI4zMJHnb9sZrnjvjsRThgGdVDzlcSubze2i9cWMd1SEttnIjdD25spe6RhiPpSnzu+fe0yswxnByqJe3f+NNvPTRnyyqwLuS12c+MJlYGOVyR1sV4/EUmxsjBLxuiEZ5+f53EPVHePqODP/QcRRcbWCd5aOvzvLUP8w9ySV7m8pFOr+dtxozv9YcPBV4BXL+/HnWrFlzU8/x/aNRkhmLe9fX4nYZfB7XdZc6t22b7pEY4YCH+mvMmUlnLWy7uJcwv5bJ2TTPnxzC7cp9+3j2fD9ZfwXW3PlbHvDS2V6VN8R0sRLpLF63a0V6L+YLvHfvauH5k0MLqx++dVsjqazF2eEY1WU+2qqDK16UF+Icl8UpVNaWZZOa23hcrm0pmWeyFv/7tUEaygPcubbqqvd55tggt7dW0FZdxrmRGPXl/stGIKxWup7MuWTbgWx9A987GqW9JsT2loqC/6grZT48neSlrhHcLkPWsllbE8otIPTEEzz37Kt4UglaZ06z9TcSJEyWoCd4zQVeJEfnt/NWY+ba6NwBw8PDN/0cd66tprWqjLqIn+qQb1H7WBljWFcXvmZxB7m5W7dqcQdQEfTy0KZ6HthUx5bGchrccR7cXMdd7dW8bXsjD2+pv6HiDiDgda/Y0LT7NtQubI3xwMY63ra9kcd2NBHwuikPeNnVVsmamrIVL+6gMOe4LE6hsna5jIq7RVpK5h63i9aqIBcmZkllLi7aZFk2mbmhdVOJDBnL4mDvBPFUhkN9Ezx3Qv+G5ul6MmfPHjh3DvbsYSaRIWvZVC1Tr/CVMq8N+xaKO4DRmSREo9h79xJzeaiKT9ExEuPxV8GFWfQQ0dVO57fzlHm+W/cTfwmqi/iv+m2wcNnqouUBL82VwRUdtnizasP+hQVTXC6D3+Ne1cPkRG4Va2tCWLZN7/jFebOvnBvj749EARZ64y3bpncsN/w6Y1l5e1jKKheNEv1f3yGFC/buZar3AsDCImNOMMZQ5su976yrDTOTzPDcf/4fHKtZS9a4CKdy5+6TP3HRnomU3P6XIqVKnyQLZO3atSvdhFVFeTtPmTtHWTtvqZlXBHNbnfSMxhaODczNh55NZRdWPfZ7XJwYmFq4z/yc6ZIRjWKt38B0T/+SHqZzHOJ7/hMvN23hBxvvgWyWmS/8d4wxhJdpGO/VMt/aVEHn2ipqwrmew6kDh+kqbwCgMpGb+940nqZrb0S9d4uk89t5yjyfJgMUiMulWtlJytt5ytw5ytp5N5J5e02IA+fH6RuP5y3QdHpomujkLGuqy2irLuPFMyNsaogwMJXgxNx+g7fykPlL2Xv28JJdzugf7WXnk/+K9kWuLLrqz/FolPTXvwHN2/jEO930hW381t/h+utnmf2b3DoDLZEW+v514RYwuVrmjRW5KR5Zy6Yu7Cfw9T+jsTyAMVC5AlvylIJVf36vAGWeT2kUSHd390o3YVVR3s5T5s5R1s67kcybK4NUBL0c7ptc2J8UoHskRtay6agNURv28/btTdzWVM4dbZUkMxb7e8a5MFECezZFoxz/2x8xGojACy9w6GhP3lY811IU53g0Su+Ou5g4twKrQO7ZQ4bc3Oo7oxBKt+MihEVuyK/P7ePdm99d0B95vczdLsO9G2rZvaaK5srgiuy3WiqK4vxeZZR5PhV4IiIiN8DtMuxqqySdtXj1/ARBr5t33d7MPR013NFWtbC/6HxvXWWZjy2NEYamE7xyboyzwzMA9I7F+f7RASzr1lrV2t6zh67KZlqnhujsew2+/S1iyVtnjmHrn2xlyy+V0fLlX8V81o35nMF8ztD6R63L/8O/+92FBXk+9OoMXrsJYwewTK7AW+yG5iIiV6ICr0BqampWugmrivJ2njJ3jrJ23o1mXlnmoy7ix7JtasJ+XC5DY0WANTVlV7z/poYI79jRRG3Yz6nBmYW9OpOZLNOJzM28BGdFo6Sf/ipWNkvl7DSR6Ql44QXi/dFFPXwh72gU1q+HgYFlbOwVRKM8cjyEZ24RVBcRYHl6zq6or49Mbx98/es8cuDnvOeu3bjcMbJmGJ/btyyrVeq64hxl7Txlnk8FXoE0NzevdBNWFeXtPGXuHGXtvJvJfGN9rjioWeTy9h63i82NEZKZLOcuWaRlKpG+4TY4bs8eUib3EcKXSRNKJ8CyiH3+Txb18IW8L9kmwEkXfve/8OZzGzF2EgC3XZ77r4M9Z/M9eB6X4T+++XfIeI9hmdiytUHXFecoa+cp83wq8ArkyJEjK92EVUV5O0+ZO0dZO+9mMq+L+LlvQy1rqq/ca3cltWE/NSE/R/snF45FJxMc7Z9kf884tl3kwzW/+11Sc71f/mwat21RNjvDzE9+tqiHHzlyBKJRzn77+/RG6mDvXsd68eLn+9j/k0O0j07wgSP7cVnTeOwWAqaWD277dco8zvQEZOaG5HpcLpoiTTy+63FcxrVse83puuIcZe08ZZ5Pq2iKiIjcpNqwf8mP2dQY5mdduR6ktuoyescu7qm3uTFC2F/Eb9F9faQmE9A9im9THZT5KD87yi/91a/S91kXLiJY5uL2EFdcEXLPHo7UdUAmQ0vXP+LasweeemrZm979B18A26az7zgbRjJ85fbTwA4C6e3c3/gveO7EEPdtqL2h3+lSZBcKvNxiK08+8CTPdD2juXcictPUg1cgfv/yvhFIPuXtPGXuHGXtvJXIvD4SYEN9mPV1YXa1VlIR9C7cFk8u33y8ZCbLj08NMzqTvKnnSWVyXXjzi8iUB73c2XgfZWY9gewuPFZusZIrzWvzZzJYe/8cMrnXOe72F6wXLzo5S3pu+CPkFrH58alhjvZP8tyJIc4cPEl5bJJgJknTDHz40AxJXuEd3SNUBCoA+PnZUc4Mzdx0W64lk7VxGYNrrsBrijTR9Ztdy7bXnK4rzlHWzlPm+UzRDwN5nc7OTnvfvn0r3QwREZGCmklm6B6OcXZkhh0tFayrCy/Lz+kdi3Pg/DiRgIeHNtUvFBiLedzZkRhv3FCLy2U4NTjN8egUj+1owut2MZVI8zcHT/Gp73+KVDaNbZLMul6mzF3PV975Ag9ubL/YK/bEE7QG/5zxsrsASLnOkHFdAG5u/7e+8Tj7e8Zprwmxs60Sy7L528MXFm6vC/uZmE2ztal8Yc++6HSU+/fez4sfeZH6sgZSWYuDvRMMTiV405Z6IgHv1X7cdR3pmyRtWexeUwWAbdv0js3SVBngeHSK/vFZ3r6j6YafX0RWL2PMftu2O690m3rwCuTo0aMr3YRVRXk7T5k7R1k7rxgyD/s97GitwO0yxFPLt93AyEyST/7Db/Cur/0K/s+tWdgewP8fNtD2n9+at13DVCK9MHT0wPlxJuIphud6/qKTCcqDXrzuuR68gJe729t4cO1DeFwejO0nwr082vpJPCbMz7pGiU7O8tPTIzzta+AX+rcurGLptqswth9f2sWbWn+V86NxTg1Ok0gvPodEOrswp3FgKgGQtzJpVZmPezfU8vbtjXkbsl/ac+ZyGQJeN1ubc4uuTMRzC9/cyJfhA5MJzo7M0DsWp2duMZ3BqSSv9o7zzLEBLkwk8Lid+xhWDOf4aqGsnafM86nAK5Bk8uaGusjSKG/nKXPnKGvnFVPmQa97SYXNUs2ms/zCmttxeabwWe0Y2w+2lwBrubPxjQs9XpZl89yJIQ6cH8/byH1wKkF0cpaJeIq1r1tYZlN9hF+/61fIerpIuo9hzCzv3/HLbKyPUBH08nL3GKOxJOMPPsIH/6+vkfX3kzVDuO0agtl7KPO8iTev+RCv9o5zPDrFi2dGiF1nuGrWskmks7x6foJ01mZ9XZhEOssr58Y4PTQNwLbmcu5ZVw2AMdfvsYz4PXjdLnpG4yQzWZ47OZS3II5l2dcs+jJZi0N9E0QCHqrKfLx2YQrLsumfyBXLtg0VQS87Wiqu25ZCKaZzvNQpa+cp83wq8ERERIpIwOsmkbauf8cblMpYfHjXB8m4uwHwWevw2i24jIv33vZeINdzd3JweuEx+86NURH0Uh7w0jc+yyvnxikPemmvCeU9t8tleMf2Tfza7sewXeN8sPMX+EDnbWxtLufe9TW0VgXZWB/hjWuC/NLOzfzanY9ie7tJuo6DZ4gH1z5IdVkl966v5f4NtaQyFv/YPXrNYuofu0d55tgAQ9MJ1tWFWFeXa9OFiVn6J2bxul2srwvj97gXnZExhk0NYUZjSZ47McR0IsOFuSLXtm1+cmaEV86NM5VIM5VIX7ZJ/chMikQ6y/aWCjY3RkhlLV7qGiU6maC9JsS7djbzhvU1NFYEFt0mEZHF0hy8AkmlUvh8i9sDSW6e8naeMneOsnZeMWW+v2eM8ViaN29tWJbn/8Frg9SEffzpkU/z9L7nIFOPx+Xisc338Ufv+DQvd4+xvaWCcyMxZuZ6z2rDfu7uqObscIwTA1O014S4ral8YYGV17t0XtuVFg2Zzzs6HWXdH68jkUkQ9ATZ97GTdFQ1E/TlirHo5Cwvd4+xs7Uyb1jlvEQ6yzPHcguz+D1u3rqtAWMM3znYD8Bd7dVEAp4bmkc3m8ryv18bWHj9IzNJOmpDDE0liaUu71W8vbWSyqCXruEZRmaSJDMWj+1owuMyHLswxcBkArfLsHttVd6COk4ppnO81Clr563GzDUHzwEXLly4/p2kYJS385S5c5S184opc7/HTSKzfEM001kLn9vFkw88Ca7cSpEu42HPo/+SpoogkYCHs8MxYqksG+rDvHVbI/eur8HrdrGxPsyjWxvZ2VZ51eIOrr8i5Hzer9//bWtD20JxB9BUEaQm5OfEwDSZrEXX8AyH+yYWbj8/Nz+wLuLn/o21lw2/bCgP3PAiKfPt8Htc3N1Rjd/jpnskRpnfTWd7NW9YV0Nne/XCRveH+yb48elh+idmSc6tMOp1uzDGsL2lgjdvbeDhLfUrUtxBcZ3jpU5ZO0+Z51OBVyCjo6Mr3YRVRXk7T5k7R1k7r5gyD3jdZC17YRuCQrIsm/ToGL53PkZTzPDBXe/GZVy8e/suNtS2ALmiKpHOUhf2s642TMDrXiicXC6TV4DdqEvzfvKBJ2mvbL/q/m9bm8tJZrJ0Dcc42j9J91zPom3b9IzGqQv7uXd9bd6+gQ9uqmNnayXuRa4QejWPbm3kkdsa8LpdPLipjke3NnLv+lpaKoPUlwdoqQyytbmch7fUs7kxwob6MI/taGJbczm72ipv6mcXWjGd46VOWTtPmecr4l1URUREVp/yQO6teWI2RX3kxuZovdw9RsayuHd9bd7xVNaCb30b7/ke2LOHz/7eZ/jB2Tfye2/7xsJ9bmsqZ3NDZNHbJ9ys+d6+q6kO+aiL+DkxcHHj9HMjMSqCXuKpDNvmVry8VGWZj8qymx+udWkxe63CtjzgpbzxYs/chrlePRGRlaAevALp6OhY6SasKsrbecrcOcraecWUeVXIhzGG8Vh6aQ+MRmH9ehgYIDo5y/B08rLFSVL9UXjheXzpFOzdS1PMcPZTZy4bSrncxd1S854f1hj0uqmPBOgdi3NmeIbyoJcmLVSyKMV0jpc6Ze08ZZ5vRQo8Y8yfGmNixphdc///L4wxrxlj/j9jzC1ZdFrW8q14JpdT3s5T5s5R1s4rpsy9bheRgIfR2NKW/U7t+V1S5/uw9+xZODb9ui0G4v/lD8G2CWaSkM3CJfd10lLzDvlyvZrlQS8bG8KkshZTs2nWVpctatsDKa5zvNQpa+cp83wrVUx9FTgNYIwJAb8D3AHUAfevUJtuSk9Pz0o3YVVR3s5T5s5R1s4rtsxrQj7GY+nFb7AdjfLj5w/xvY2/QOwvvgETuT3bjvVPkZxfsCUaJfat70ImQygVh1SuF4+BgWV6FVe31Lw97lwR5/O4qA37ecP6Gu7uqL5smwa5umI7x0uZsnaeMs+3IgWebdsvAPPLYN0N9Ni2nQReBR5eiTaJiIgUi+qQj4xlMTm7yGGae/YQ8/gBeHbtHfDtb9FSGeRX/uqjVP/fD+D6bBDzpWa2ftzwz/5JlvWfmuvZW8FevKVoqgiytibE1qbcfLv6SICmiqBj8wRFRG4lxbDISj0wX3afA+55/R2MMR8HPg7Q0tLC/v37mf97WVkZp0+fBqCiooL169dz4MABANxuN7t27eLEiRPEYjEAbrvtNsbGxhgcHASgra0Nn89HV1dugndVVRVr1qzh0KFDAHi9Xm6//XZee+01Zmdzm5xu27aNoaEhhoeHAVi7di1lZWUL7aqpqaG5uZkjR44A4Pf72b59O0ePHiWZzA252bFjBxcuXFhY9aejowPLsha+gairq6O+vp5jx44BEAwG2bp1K4cPHyadzr3h79y5k/PnzzM+Pg7A+vXrSaVS9Pb2AtDQ0EB1dTXHjx8HIBQKsWXLFg4ePEg2m/tGd/fu3XR1dTE5mfu2d+PGjcTjcfr7c3sINTU1UV5ezsmTJwGIRCJs2rSJAwcOYNs2xhh2797NqVOnmJ7ObYq7efNmpqamiEajy/Z7AshkMkv+PblcLrq7u/V7uoHf03yuTvx7Wu2/p2w2u3A9ceLfk35PG/H5fAuZF8N1L5mxmUqGOBc1ZCei1/49vfwys2Vl9L/lEVp+9BwzHe2kfIbWvtd4/9bb+dtjXdxf8zBhX5x9o3FOTR3i002/xf7fAv/kJNu/8x2O/st/6ejvyePxEI/Hl/x7mhgdLvr3p2L99zT/uynW614p/Z6SyeTC9aSYr3ul9HtyuVwLmZfa+9O1fk9Xs2IbnRtjngd+C9gEvMO27Q8ZYz4C7LZt+5NXe1yxbnSeSCQIBDTR2ynK23nK3DnK2nnFmPn3jw7QUO7njjVV177jE0/Al7/M3667h/Wjfdw23I3t8+P62EeJ/t5n2PJH7yWTuWRFSd9Juv7VwavuUeeEYsy71Clz5yhr563GzIt9o/MBYO3c39cCgyvYlhs2X9GLM5S385S5c5S184ox86DPTSK9iIUDvvtdMukMljF4rQwGcKWS8J3v0BRp4n0778Z4xgAwnhE+vPuXV7S4g+LMu9Qpc+coa+cp83zFUOC9ArQZYwLAbuBHK9weERGRFef3uC4ukHItfX2kEyn4+tfxnjgOtp3709cHwJ5H/k+y7jMk3Uew3D1X3VBcRERKg+MFnjHmAWPMQaAT+Cvg3wD/idwCK/3AS063qRCCweBKN2FVUd7OU+bOUdbOK8bMcwXe4pb+TmVz9/N6Ln9bb4o08fgdj2O7Jnn8jg+teO8dFGfepU6ZO0dZO0+Z51uxOXg3qljn4ImIiBTSaxemODM8w7tub7ruXm+jM0l+emaEN6yvoT5y+TyU6HSU+/fez4sfebEoCjwREbk5xT4HryQcPnx4pZuwqihv5ylz5yhr5xVj5n6vC9u2F3rnrmW+p8/vdl/x9qZIE12/2VU0xV0x5l3qlLlzlLXzlHk+FXgFMr9EqjhDeTtPmTtHWTuvGDP3uXNv0ensxZE2masUe/FUbq5e0HflAq/YFGPepU6ZO0dZO0+Z51OBJyIiUoS8cwXefFF3YWKWvz8SZTJ++QeZ2VQWj8uF7wpz8EREZHXRO0GB7Ny5c6WbsKoob+cpc+coa+cVY+Zed27e3fwQzfF4CoCfd48ynUhjWTapjIVt28RTGcpukd47KM68S50yd46ydp4yz6cCr0DOnz+/0k1YVZS385S5c5S184ox8/kVMS8dogmQydo8f3KYvz18ge8djfK3h6MMTCUoD3pWopk3pBjzLnXK3DnK2nnKPN+t825Q5MbHx1e6CauK8naeMneOsnZeMWbudeUP0UykLYJeNw9squOnp0eIpTK0VgUp8+XeytfXhVesrUtVjHmXOmXuHGXtPGWeTwWeiIhIEZofopmeK/CSmSwBr5uA180966o5Hp1mR0ul5t2JiEgeFXgFsn79+pVuwqqivJ2nzJ2jrJ1XjJl73C6MMQtDNJMZi9Bcb10k4OXujuqVbN5NKca8S50yd46ydp4yz6ev/QoklUqtdBNWFeXtPGXuHGXtvGLN3Oc2F3vw0ln8JdJbV6x5lzJl7hxl7Txlnq803imKQG9v70o3YVVR3s5T5s5R1s4r1sw9LhfprIVl2SQzFn5vabxtF2vepUyZO0dZO0+Z5yuNdwoREZES5PW4SGftha0SAp5bZysEERFZGSrwCqShoWGlm7CqKG/nKXPnKGvnFWvmXlduiGYynSvwSqUHr1jzLmXK3DnK2nnKPF9pvFMUgerqW3ey+61IeTtPmTtHWTuvWDP3elxksjaJTBYAf4n04BVr3qVMmTtHWTtPmedTgVcgx48fX+kmrCrK23nK3DnK2nnFmrnX7SKZsTg7HMMYQ5mvNAq8Ys27lClz5yhr5ynzfNomQUREpEh5XIZkJsvQdJZdbZUEvKVR4ImIyPJRD16BhEKhlW7CqqK8nafMnaOsnVesmbtMbrPztuoy1tYUZxtvRLHmXcqUuXOUtfOUeT5j2/ZKt2FJOjs77X379q10M0RERJbd/p4x+sZn2b2mirbqspVujoiIFAljzH7btjuvdJt68Ark4MGDK92EVUV5O0+ZO0dZO69YM9/YEKGlMkhzZXClm1JQxZp3KVPmzlHWzlPm+TQHr0Cy2exKN2FVUd7OU+bOUdbOK9bMywNeOttLb3W4Ys27lClz5yhr5ynzfOrBExERERERKRGag1cgtm1j5ibDy/JT3s5T5s5R1s5T5s5S3s5T5s5R1s5bjZlrDp4Durq6VroJq4rydp4yd46ydp4yd5bydp4yd46ydp4yz6cCr0AmJydXugmrivJ2njJ3jrJ2njJ3lvJ2njJ3jrJ2njLPpwJPRERERESkRKjAK5CNGzeudBNWFeXtPGXuHGXtPGXuLOXtPGXuHGXtPGWeTwVegcTj8ZVuwqqivJ2nzJ2jrJ2nzJ2lvJ2nzJ2jrJ2nzPOpwCuQ/v7+lW7CqqK8nafMnaOsnafMnaW8nafMnaOsnafM86nAExERERERKRG33D54xphhoGel23EFtcDISjdiFVHezlPmzlHWzlPmzlLezlPmzlHWzluNma+1bbvuSjfccgVesTLG7LvaZoNSeMrbecrcOcraecrcWcrbecrcOcraeco8n4ZoioiIiIiIlAgVeCIiIiIiIiVCBV7hfGmlG7DKKG/nKXPnKGvnKXNnKW/nKXPnKGvnKfNLaA6eiIiIiIhIiVAPnoiIiIiISIlQgSciIiIiIlIiVOCJiIiIiIiUCBV4IiIiIiIiJUIFnoiIiIiISIlQgSciIiIiIlIiVOCJiIiIiIiUCBV4IiIiIiIiJUIFnoiIiIiISIlQgSciIiIiIlIiVOCJiIiIiIiUCBV4IiIiIiIiJUIFnoiIiIiISIlQgSciIiIiIlIiVOCJiIiIiIiUCBV4IiIiIiIiJUIFnoiIiIiISIlQgSciIiIiIlIiVOCJiIiIiIiUCBV4IiIiIiIiJUIFnoiIiIiISIlQgSciIiIiIlIiVOCJiIiIiIiUCBV4IiIiIiIiJUIFnoiIiIiISIlQgSciIiIiIlIiVOCJiIiIiIiUCBV4IiIiIiIiJUIFnoiIiIiISIlQgSciIiIiIlIiVOCJiIiIiIiUCBV4IiIiIiIiJUIFnoiIiIiISIlQgSciIiIiIlIiVOCJiIiIiIiUCBV4IiIiIiIiJUIFnoiIiIiISIlQgSciIiIiIlIiVOCJiIiIiIiUCBV4IiIiIiIiJUIFnoiIiIiISIlQgSciIiIiIlIiVOCJiIiIiIiUCBV4IiIiIiIiJcKz0g1YqtraWru9vX2lmyEiIiIiIrIi9gCkudEAABlYSURBVO/fP2Lbdt2VbrvlCrz29nb27du30s0QERERERFZEcaYnqvdpiGaIiIiIiIiJUIFnoiIiIiISIlQgSciIiIiIlIibrk5eCIiIiIiIqUinU7T19dHIpG47LZAIEBrayter3fRz3fdHjxjzCeNMQfn/owaYz5ujPmcMeY1Y8znLrlfQY+JiIiIiIiUur6+PiKRCFu2bOG2225b+LNlyxYikQh9fX1Ler7rFni2bX/Btu1dwB3Aa8ArwDuB7cC7jDFrjTEdhTy2pFcgIiIiIiJyi0okEtTU1GCMyTtujKGmpuaKPXvXspQhmveQK+52AYds27aMMYeAh8gVioU89vSSXoWIiIiIiMgt6vXF3fWOX8tSCryPA18G7gfm9104BzQApsDH8hhjPj7381mzZs0SmiwiIiIiIrJ6LGUVzbeQ68GzL3mcG7CW4Vge27a/ZNt2p23bnXV1V9ywXUREREREZNVbVIFnjHEDXtu2U8AAMD9Pbi0wuAzHREREREREVgXbtpd0/FoW24NXD4zM/f05YOdc0bdr7v8LfUxERERERKTkBQIBRkdHLyvmbNtmdHSUQCCwpOdb7By8ZnI9bdi23WuM+RZwFPiabdt9AIU+JiIiIiIiUupaW1vp6+tjeHj4stvm98FbCnMj3X4rqbOz0963b99KN0NERERERGRFGGP227bdeaXblrLIioiIiIiIiBQxFXgiIiIiIiIlQgWeiIiIiIhIiVCBJyIiIiIiUiJU4ImIiIiIiJQIFXgiIiIiIiIlQgWeiIiIiIhIiVCBJyIiIiIiUiJU4ImIiIiIiJQIFXgiIiIiIiIlQgWeiIiIiIhIiVCBJyIiIiIiUiJU4ImIiIiIiJQIFXgiIiIiIiIlQgWeiIiIiIhIiVCBJyIiIiIiUiJU4ImIiIiIiJQIFXgiIiIiIiIlQgWeiIiIiIhIiVCBJyIiIiIiUiJU4ImIiIiIiJQIFXgiIiIiIiIlQgWeiIiIiIhIiVCBJyIiIiIiUiJU4ImIiIiIiJSIRRV4xpgPGGOOGGNeMsasMcZ8zhjzmjHmc5fcp6DHREREREREZGmuW+AZY8qBzwH3AR8EgsA7ge3Au4wxa40xHYU8VvBXKSIiIiIisgp4FnGftwDP2rY9BUwZYx4HDtm2bRljDgEPkSsUC3ns6QK+RhERERERkVVhMQVeCxA2xvwEGAIOAz1zt50DGgBT4GN5jDEfBz4OsGbNmkU0WUREREREZPVZzBy8MNAMvA0oA+xLHucGrGU4lse27S/Ztt1p23ZnXV3dYl+biIiIiIjIqrKYAm8AOGXbdgz4+dyxtZf8d3DuPoU8JiIiIiIiIku0mALvh8Ddxhg30Al0Azvn/n8X8Nzcn0IeExERERERkSW67hw827bPG2O+DhwHDgLfANqBo8DXbNvuAzDGfKuQx0RERERERGRpjG3bK92GJens7LT37du30s0QERERERFZEcaY/bZtd17ptkVtdC4iIiIiIiLFTwWeiIiIiIhIiVCBJyIiIiIiUiJU4ImIiIiIiJQIFXgiIiIiIiIlQgWeiIiIiIhIiVCBJyIiIiIiUiJU4ImIiIiIiJQIFXgiIiIiIiIlQgWeiIiIiIhIiVCBJyIiIiIiUiJU4ImIiIiIiJQIFXgiIiIiIiIlQgWeiIiIiIhIiVCBJyIiIiIiUiJU4ImIiIiIiJQIFXgiIiIiIiIlQgWeiIiIiIhIiVCBJyIiIiIiUiJU4ImIiIiIiJQIFXgiIiIiIiIlQgWeiIiIiIhIiVCBJyIiIiIiUiJU4ImIiIiIiJQIFXgiIiIiIiIlYlEFnjEmY4w5OPfnDmPM54wxrxljPnfJfQp6TERERERERJZmsT143bZt77JtexcwAbwT2A68yxiz1hjTUchjBX2FIiIiIiIiq4Rnkfcbu+TvDwGHbNu2jDGH5v7fVeBjT9/k6xIREREREVl1FlvgrTXGHAB+DvTM/QE4BzQApsDH8hhjPg58HGDNmjWLbLKIiIiIiMjqstghmm8BHgEeeN3j3IAF2AU+lse27S/Ztt1p23ZnXV3dIpssIiIiIiKyuiyqwLNt+4ht2+PA84AfmJ8ntxYYBAYKfExERERERESW6LoFnjFmtzGmxRhTBrwReAHYaYxxA7uA5+b+FPKYiIiIiIiILNFi5uBZwNeBNcA3bdt+wRjzLeAo8DXbtvsACn1MRERERERElsbYtr3SbViSzs5Oe9++fSvdDBERERERkRVhjNlv23bnlW5b7CIrIiIiIiIiUuRU4ImIiIiIiJQIFXgiIiIiIiIlQgWeiMj/3979hlqS3nUC//7SkzWamEi0Z1DjtLNKIhKcdrz+AZekXVxfLOlVBPEPrC8SaRV9MZiooEK8G8iCCuouLstMgjuKggRns29kWWNmTdiom46ZhmHAdZVuZrKZYVwVNYxR6ccXpzrevnPuveecW+dUnarPBy73nqfq1HnqV3Xr1LeqTh0AgIkQ8AAAYBNVQ/cAXkLAAwAAmAgBDwAAYCIEPAAAgIkQ8AAAACZCwAMAAJgIAQ8AAGAiBDwAAICJEPAAAAAmQsADAACYCAEPAABgIgQ8AACAiRDwAAAAJkLAAwAAmAgBDwAAYCIEPAAAgIkQ8AAAACZCwAMAAJgIAQ8AAGAiBDwAAICJEPAAAAAmYuWAV1Xvqqqb3d+HVfV0VR0eGd5rGwAAAOtZKeBV1auSfG339wNJ3pLkjUmuVtWlvtv6nUUAAIB5uGfF8d6W5DeT/GSSK0lutNZuV9WN7vHLem57rJe5AwAAmJEzz+BV1cuTfFeSX+2a7k1yq/v7ZpL7ttB2vA/Xqup6VV1/4YUXVpgtAACA+VnlEs3vSPJ4a+1vu8ftyPMuJLm9hba7tNYeaa0dtNYOLl68uNqcAQAAw6k6edDhycM4n1UC3pUk311Vv5/kC5P8YJI7n5O7lOT5JM/13AYAAEzFKWGPfp0Z8Fpr11prD7XWviHJJ5O8KcmDVXUhyeUkT3Q/fbYBAACwplVvsvIZrbVnqurxJE8l+bXW2rNJ0ncbAAAA66nW2tB9WMvBwUG7fv360N0AAGDuqpI925feqaP1OVarOqy0d6rdpqrqY621g2XDVv6icwAAAMZNwAMAAJgIAQ8AAGAiBDwAAICJEPAAAAAmQsADAACYCAEPAABgIgQ8AACAiRDwAAAAJkLAAwAAmAgBDwAAYCIEPAAAgIkQ8AAAACZCwAMAAJgIAQ8AAOhX1dA9mC0BDwAAYCIEPAAAgIkQ8AAAACZCwAMAYH/4bBecSsADAACYCAEPAABgIgQ8AACAiRDwAAAAJkLAAwAAmAgBDwAAYCLODHhV9c+r6n9U1Z9W1X+uhcOqerqqDo+M12sbAAAA61nlDN7fJvnBJK9P8q+TfGmStyR5Y5KrVXWpqh7os63XOQQAAJiJe84aobX2/6qqkjyYpJJ8c5IbrbXbVXUjyZUsgmKfbY/1OpcAAMDo1GGlvbMN3Y1JOTPgdf5tFqHrO5M8kORW134zyX1ZBL8+2+5SVdeSXEuS+++/f8UuAwAAzMtKN1lprf1Kki9L8u+TvOLI8y4kuZ2k9dx2/PUfaa0dtNYOLl68uOq8AQAAzMrKd9Fsrf1pkie7h5eO/H4+yXM9twEAALCmVe6i+dbuTpqvTPK1ST6Y5MGqupDkcpInup8+2wAAAFjTKp/BezLJryR5XZLHWmsfrqrHkzyV5Ndaa88mSd9tAAAArKda26+71hwcHLTr168P3Q0AAIZQlYxl/3VMfRmbqsXvO/U5Vqs7d890F83NVNXHWmsHy4at/Bk8AAAAxk3AAwAAmAgBDwAAYCIEPAAAgGPqsIbuwkYEPAAAgIkQ8AAAgK3b1zNi+0bAAwCgP2UnHoYk4AEAAEyEgAcAADARAh4AAMBECHgAAACdfb8ZjIAHAABsjxvv7JSABwAAMBECHgAAwEQIeAAAABMh4AEAADuz7zcxGTsBDwAAYCIEPAAA9pc7NMJdBDwAAIBkEgcMBDwAAICJEPAAAAAmQsADAACYCAEPAABgIgQ8AACAiRDwAAAAJuLMgFdVr6uq366qm1X1E13bYVU9XVWHR8brtQ0AAID1rHIG7yuSvCPJVyX5kar6miRvSfLGJFer6lJVPdBnW8/zCAAwXRP43q7zqkM1gDvuOWuE1toH7vxdVc8keSjJjdba7aq6keRKFkGxz7bHeptDAAA4S1XS2tC9gHM7M+DdUVWvSfL5SV6b5FbXfDPJfUmq57bjr30tybUkuf/++1ftMgAAu+RsIgxunZusPJzk0STtyPMuJLm9hba7tNYeaa0dtNYOLl68uEaXAQAA5mOlgFdVB0muJvmZJM8lufM5uUtJnt9CGwAAAGta5S6ar0ryy0ne1lr7dJInkjxYVReSXO4e990GAADAmlY5g/f2JA8keayqnkzyrUkeT/JUkve11p5trT3TZ1vP8wgAAMyAO6qudhfNwyTLvp/uXcfGe1efbQAAMHZ1WGnvdPdNxmOdm6wAAAAwYgIeAADARAh4AAAAEyHgAQDASLlpCOsS8AAA2E8l/MBxAh4AAMBECHgAAAATIeABAMB5uFSUERHwAAAAJkLAAwAAmAgBDwAAYCIEPAAAgIkQ8AAAmAc3Q2EGBDwAACavDoW7MbN8+iPgAQAAw3FmtVcCHgAA0yAogIAHAAAsnOdSSZdZjoOABwDAsJx5g94IeAAA0IPTzmA5u8WuCHgAANCT2QY5Z2FHQ8ADAACYCAEPAIDpcmaJmRHwAACAvTbbS2OXEPAAAAAmQsADAGAyxnQmZ0x9YT5WCnhV9Z6q+lRVXe4ef39VPV1Vj1bVy7bRBgAAwHpWDVO/muSPk6SqXpnkx5J8dZKLSf5F3239zBoAAMC83LPKSK21362qv+wefl2SW621T1fVx5N8U5ILPbd9qM+ZBAAAmINNLoe8N8mt7u+bSe7bQttdqupaVV2vqusvvPDCBl0GAJgJXwuQxOffmK9NAl478rwLSW5voe3uF2ztkdbaQWvt4OLFixt0GQAAYPo2CXjPJbnU/X0pyfNbaAMAgK1wdo8p2yTgfTTJl1TVK5I8lOSDW2gD+uJSHYD5mPA2XyiD1ZwZ8KrqTVX1ZJKDJL+R5O1J3p3k40k+keQjrbUX+2zrdQ4BAOC4CYdh5u3Mu2i21j6U5PKSQe89Nt57+2wDAABgPb5UHABgDJxRAnog4AEAAPvp6IERB0mSCHjANtnQArCBIW+ostXX7uN90XsrZxDwAABgx9wVlG0R8AAA2CvCEauY63oi4AEAwIDmGkTYDgEPAAD6tspn5XyebqfmEqQFPAAA2JK5hIpBCMhLCXgAMDN2OGfEDvAk+J9lHQIeAOwLO+vskvUN9pKABwAwA2M/CzT2/o3B8Rqp2clOq9XU6ybgAcCcOCsDMGkCHgBsaBdHgad+pJk9csLBAesojIuABzC0MZ5RGWOfgFkRHGEzAh4wTgIGMANzDzGDz/9Q7zVjfI/btE9jnJfj9qGPPRLwAGCkBt/5BUbJtoHTCHgAMDa7Oto8s6PacJLZB6YztgWzr8+eEfAAYB90O2An7mhtIazZqdsf515WYwn7Y+nHEEY677YD+0fAAwCmY6Q7yfvgXAcP1H0U6rB6CWRC3X4T8Ppiwwb7wf8q2zCW9Wrofmzw+ufZkbQTerJVvtR5r+o39Lq9S2edrT8++j4tR3ZCwANmyRsiq9jn9cTOIctY3jB9Ah7MwK7e0Pdtx2Hw/h47Iu2ymonZ8tmsU8/QDH22w+cB167B3s0f07Dh/6r1ddwEPDinMW/kjvfttL5+Ztg5d8zGXI99pJ70YsU75PX1+Z1zWWEbNHgf993QBwA42y4udxbuJkvAg5lZacN8zh2sITf+u7zD4Eq2+LpjXQaM0652/jbR9/pah7Xd/p9n2mMPVyf0zzZlhpatC1u48oT+CXg9OnoEdJ1hozP2N59dOqUWmyzLsS//jQLDDNaXPpfbeQP2sjMsq9xAobdL//pQW975HkotP/s19v/7bbnrfW/F5b1prbZ65rGHA16ju4R2FfvQR2Cp0QS8qjqsqqer6nDovvThrDebjd+I1tngbmPjvC/T7ME6b8j7ugO3yU7RTnZgV7yc7CXjH/u9SRA6Ps2+Ds7s5Q7eEpsGxbNC3bbqszSsrrJ+nff193T57sLK61AXmHd6B8gj6+nx1z5re3J0/drX9wRgGkYR8KrqgSRvSfLGJFer6tLAXerVNjf0p+2YLn18xrDjb2bbvunDqWHh2A7hmTtdR3fITxqvrzfe0y5bOOOShpN2ZO/qdzfvQ1/qOMadlG316ej8nvs1htq5H+B171pPqk7/P1jy3JeMe3y938E8nbmuC2u9G+O2ZRfmOt/Abo0i4CW5kuRGa+12khvdY05zbIdjnZ3xIS4tXOno/Jo7Uatc/vOZuuz4aPzWL3EDAIAlqrU2dB9SVT+e5BWttcOqemeSF1trP3Nk+LUk17qHb0jyRwN08yxfkOTPhu7EjKj37qn57qj17qn5bqn37qn57qj17s2x5pdaaxeXDbhn1z05Qcs/nU28kOT2XQNbeyTJI7vu1Dqq6npr7WDofsyFeu+emu+OWu+emu+Weu+emu+OWu+emt9tLJdoPpfkzufuLiV5fsC+AAAA7KWxBLwnkjxYVReSXO4eAwAAsIZRBLzW2jNJHk/yVJL3tdaeHbhLmxj1JaQTpN67p+a7o9a7p+a7pd67p+a7o9a7p+ZHjOImKwAAAJzfKM7gAQAAcH4CHgAAwEQIeEmq6nVV9dtVdbOqfqJrO6yqp6vq8Mh476mqT1XV5SNth1V1q6p+q6r+2SmvcbWqnqqq91fVK7q2H6qqT1TVw9ucvzEZotZV9Q1V9WT3c6uqfn27czku56z5f6iqP66qnz7jNb6/m96jVfWyru3fVdWfV9W3bWnWRmmIelfVtx9Zxz9ZVe/e2gyO0Co1XzbOsvFOeY2VluEcDFHvqvrhI+v4/6/F9+POxjlrvtJ6aju+MEStbcM3q/lJy+GE15jXNry1NvufJN+c5MEkr87iSxK/JsnHsgjAf5jFFwkmyZuTPJnkcvf4NUmeSfLyJL+Y5OoJ068k/yeLL2H8hSTf27U/mOS/JHl46BpMvdZHhv/HJG8eug57UvOHuuEvT/Lfk3zlCdN/ZZI/SfJZSd6f5E1d+9d3z/u2oWswh3ofGf5fk3zZ0HUYW82XjPPaJA8sWzZLpr90vOPLcC4/Q9W7G1ZJPpzk84auwz7UfNX11HZ8+FofGW4bvvo2ZelyWDL92W3DncFL0lr7QGvtRmvtr7IIEQ8ludFau53kRpIr3Xi/m+Qvjzz1xSy+lL2SfCLJp054iS9Nck9r7c+SfDzJN3XTu5HkZs+zM2pD1TpJquqzk3xlkg/1OEujd46avz7Jx1trf5/k95J8ywkv8XVJbrXWPp271+8/yOI7LmdlqHoni6OZSf6+tfYn/c7VuK1S8yXjvDaLZfGSZbPE0vGWLMNZGKrena9P8tHW2qzqfo6ar7qe2o53hqp1Yhu+bs1PWg5LXDk+ve51J7sNF/COqKrXJPn8LFaQW13zzST3LRu/tfZ3Sd6TxRGYNyf5XydM+t5VpjcnA9X6O5J8sLU2y1vHrlvzdBvZqnpVkjck+cITxrN+LzFQvd+a5L9t3Ok9t0rNj4xzM6uvu9bxJQaq97Ukv3nOru+tDWq+Kuv4MQPV2jZ8g5qvsBxmt34LeHd7OMmjSVr+qTYXsjhz9BK1+CzdlSzebL48i1PAqaqfO3It9RtWnd7MDFHrb0nyv/udjb2yVs2TfCSLo4u/k8UZ1L9Okqr69SM1/9w1pjc3Q9TbOn52zR9O8mhr7R9OGq+q/mdX7w93w6zjyw1R73+V5KM9z8c+WbfmS9mOr2SIWtuGb1bzu9psw5N7hu7AWFTVQZKrSb4xyXcm+ZfdoEtJPnDC074xyR+11t7b/dN+X5J3tNbecWza93fTuTO953vu/l4ZsNZfnOSTvczEntmk5t2Zzrd2z393FpfGprX2Pcem/Vys33cZsN7W8VNqfmycZHHp2UvGa61dOTb5pePN2RD1rqoLSV7eXdExOxvWfCnb8dMNWGvb8DVrvqzNNtwZvCRJd0nULyd5W3dN9BNJHuzeTC53j5c+NclXVNWdoPy5J4z3TJIXq+reLK4r/mBvnd8zA9f6izKzzxIkm9e8Fl7fnT29muS3TniJjyb5km68Wa/fyXD1rqpK8urW2t/0OkN7YJWaLxkny8Y74SVWHW8WBqz3vVncSGF2zlHzVdmOd4aqtW34+jVfYznMbhsu4C28PYtL/h6rqieTfGuSx5M8leR9rbVnq+pN3bCDJL9RVT+VxT/l/+1+vjfJzy6beHdk/keyWKG+OMn7qupzuun9QJIfrar3b3UOx2PntT4y+GKSP9/KXI3bpjV/dZJfyuLOU7/UWlt6RLe19mKSd2dxeeEnknykqr68m96/SfLzVfWftjuLo7LzeneDXpvkL7Y3W6N2Zs2Pj1NVP9xae2bJeC+xbLwTluFc7Lze3aBZHqTrbFTzVddT2/G77LzW3SDb8DVrfkLbS8xxG14zvd8EAADA5DiDBwAAMBECHgAAwEQIeAAAABMh4AEAAEyEgAcAADARAh4AAMBECHgAAAAT8Y/n09danVNFowAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 1080x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "No handles with labels found to put in legend.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "def target_return(data, principal):\n",
        "    data=data.copy()\n",
        "    #計算成本\n",
        "    data['手續費'] = data['收盤價-除權息']* abs(data['買賣股數'])*0.001425\n",
        "    data['手續費'] = np.where((data['手續費']>0)&(data['手續費'] <20), 20, data['手續費'])\n",
        "    data['證交稅'] = np.where(data['買賣股數']<0, data['收盤價-除權息']* abs(data['買賣股數'])*0.003, 0)\n",
        "    data['摩擦成本'] = (data['手續費'] + data['證交稅']).apply(np.floor)\n",
        "    \n",
        "    #計算資產價值\n",
        "    data['股票價值'] = data['買賣股數'].cumsum() * data['收盤價-除權息']\n",
        "    data['現金價值'] = principal - data['摩擦成本'] + (data['收盤價-除權息']* -data['買賣股數']).cumsum() \n",
        "    data['資產價值'] = data['股票價值'] + data['現金價值']\n",
        "    \n",
        "    #計算報酬率\n",
        "    data['當日價值變動(%)'] = (data['資產價值']/data['資產價值'].shift(1) - 1)*100\n",
        "    data['累計報酬(%)'] = (data['資產價值']/principal - 1)*100\n",
        "    \n",
        "    return data"
      ],
      "metadata": {
        "id": "ByMKB--JUgPZ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "keep=vol.copy()\n",
        "keep[\"買賣股數\"]=0\n",
        "keep[\"買賣股數\"][0]=1000\n",
        "keep[\"買賣股數\"][len(keep)-1]=-1000"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aW1rSyDhUkxQ",
        "outputId": "9ed15591-ccfd-4cae-c23a-9f57700623e6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  This is separate from the ipykernel package so we can avoid doing imports until\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  after removing the cwd from sys.path.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "volreturn1 = target_return( volma, principal = 16000)\n",
        "volreturn2 = target_return( vol, principal = 16000)\n",
        "volreturn3 = target_return( keep, principal = 16000)"
      ],
      "metadata": {
        "id": "DAwgMrDuUl22"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "volreturn1"
      ],
      "metadata": {
        "colab": {
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              "      <td>2618</td>\n",
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              "      <td>29.70</td>\n",
              "      <td>479760.954</td>\n",
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              "<p>1003 rows × 22 columns</p>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d621e5e1-6acb-490d-b1c0-c26ed608a5a3')\"\n",
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              "    .colab-df-convert {\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-d621e5e1-6acb-490d-b1c0-c26ed608a5a3');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "  "
            ],
            "text/plain": [
              "             證券碼     成交量(千股)  收盤價-除權息  ...     資產價值  當日價值變動(%)   累計報酬(%)\n",
              "日期                                     ...                              \n",
              "2018-01-02  2618   24410.411  13.5785  ...  16000.0        NaN   0.00000\n",
              "2018-01-03  2618   10399.399  13.6637  ...  16000.0   0.000000   0.00000\n",
              "2018-01-04  2618   10116.726  13.6211  ...  16000.0   0.000000   0.00000\n",
              "2018-01-05  2618   16325.731  13.7914  ...  16000.0   0.000000   0.00000\n",
              "2018-01-08  2618   10548.509  13.6637  ...  16000.0   0.000000   0.00000\n",
              "...          ...         ...      ...  ...      ...        ...       ...\n",
              "2022-02-09  2618  245624.664  28.4000  ...  27351.8   4.142584  70.94875\n",
              "2022-02-10  2618  251728.456  28.8500  ...  27801.8   1.645230  73.76125\n",
              "2022-02-11  2618  336632.699  30.1500  ...  29101.8   4.675956  81.88625\n",
              "2022-02-14  2618  272464.707  29.1000  ...  28051.8  -3.608024  75.32375\n",
              "2022-02-15  2618  479760.954  31.2500  ...  30201.8   7.664392  88.76125\n",
              "\n",
              "[1003 rows x 22 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(facecolor='white',figsize=(12,8))\n",
        "plt.plot(volreturn1.index,volreturn1['累計報酬(%)'], label = \"動能MA\")S\n",
        "plt.plot(volreturn3.index,volreturn3['累計報酬(%)'], label = \"持有\")\n",
        "plt.xlabel('日期')\n",
        "plt.title(\"報酬率比較表\")\n",
        "plt.ylabel('累計報酬率%')\n",
        "plt.legend()\n",
        "plt.grid()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 513
        },
        "id": "Pz9yaw_zUtV3",
        "outputId": "4f973cd5-1277-4bcc-d1c5-3346b0b9eab8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cagr = [(((volreturn1['累計報酬(%)'].values[-1]*0.01 + 1)**(252/len(volreturn1))) - 1)*100, \n",
        "        ((volreturn2['累計報酬(%)'].values[-1]*0.01 + 1)**(252/len(volreturn2)) - 1)*100, \n",
        "        ((volreturn2['累計報酬(%)'].values[-1]*0.01 + 1)**(252/len(volreturn3)) - 1)*100]\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "M7dunbKvUxhG"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "std = [volreturn1['當日價值變動(%)'].std()*(252**0.5), volreturn2['當日價值變動(%)'].std()*(252**0.5), \n",
        "       volreturn3['當日價值變動(%)'].std()*(252**0.5)]"
      ],
      "metadata": {
        "id": "uNeHt7DzVITL"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sharpe_ratio = [(cagr[0] - 1)/std[0],(cagr[1] - 1)/std[1],(cagr[2] - 1)/std[2]]"
      ],
      "metadata": {
        "id": "tmhXVs3FVJQW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sharpe_ratio\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wi1eIkmiU2BG",
        "outputId": "a26c7913-acdd-4f0f-d9ac-450ccc062fd6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.8975475357237737, 0.5018125931589615, 0.23078658634606203]"
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "performance = pd.DataFrame([cagr,std,sharpe_ratio], columns = ['動能MA','動能','持有'], \n",
        "                           index = ['年化報酬(%)','年化標準差(%)','夏普比率'])\n",
        "performance"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "D5eONbGIVe6D",
        "outputId": "a0798eb8-8504-40d8-8628-7b7c99114c1b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-8b0c5127-b640-465e-a494-c7e1c43e2e5c\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>動能MA</th>\n",
              "      <th>動能</th>\n",
              "      <th>持有</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>年化報酬(%)</th>\n",
              "      <td>17.306498</td>\n",
              "      <td>8.049518</td>\n",
              "      <td>8.049518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>年化標準差(%)</th>\n",
              "      <td>18.167838</td>\n",
              "      <td>14.048109</td>\n",
              "      <td>30.545615</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>夏普比率</th>\n",
              "      <td>0.897548</td>\n",
              "      <td>0.501813</td>\n",
              "      <td>0.230787</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8b0c5127-b640-465e-a494-c7e1c43e2e5c')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-8b0c5127-b640-465e-a494-c7e1c43e2e5c button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-8b0c5127-b640-465e-a494-c7e1c43e2e5c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "               動能MA         動能         持有\n",
              "年化報酬(%)   17.306498   8.049518   8.049518\n",
              "年化標準差(%)  18.167838  14.048109  30.545615\n",
              "夏普比率       0.897548   0.501813   0.230787"
            ]
          },
          "metadata": {},
          "execution_count": 55
        }
      ]
    }
  ]
}