02_Pandas_Time_Series_Analysis.ipynb

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      "name": "02_Pandas_Time_Series_Analysis.ipynb",
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      "authorship_tag": "ABX9TyOaaSA+W+UUQ2MR60MEAj8r",
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      "name": "python3",
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    {
      "cell_type": "markdown",
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        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/mohd-faizy/Lib_Pandas/blob/master/02_Pandas_Time_Series_Analysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GOFUKH4Rhl6K",
        "colab_type": "text"
      },
      "source": [
        "# __Time Series Analysis on the AAPL/MSFT Stock Index__"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gpdYKO2yjmyj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "pip install Quandl"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iD0vOP1wihm_",
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      },
      "source": [
        "import quandl\n",
        "import pandas as pd\n",
        "quandl.ApiConfig.api_key='your_key'\n",
        "\n",
        "# Retrieve Apple data\n",
        "apple = quandl.get('WIKI/AAPL')\n",
        "\n",
        "# Retrieve the MSFT data\n",
        "ms = quandl.get('WIKI/MSFT')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D8W_cN_wjfD8",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%matplotlib inline"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gk-faL3_0Hrz",
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 327
        },
        "outputId": "bab933ae-631a-4dff-ee87-f18c72390e1f"
      },
      "source": [
        "ms.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Volume</th>\n",
              "      <th>Ex-Dividend</th>\n",
              "      <th>Split Ratio</th>\n",
              "      <th>Adj. Open</th>\n",
              "      <th>Adj. High</th>\n",
              "      <th>Adj. Low</th>\n",
              "      <th>Adj. Close</th>\n",
              "      <th>Adj. Volume</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1986-03-13</th>\n",
              "      <td>25.50</td>\n",
              "      <td>29.25</td>\n",
              "      <td>25.5</td>\n",
              "      <td>28.00</td>\n",
              "      <td>3582600.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.058941</td>\n",
              "      <td>0.067609</td>\n",
              "      <td>0.058941</td>\n",
              "      <td>0.064720</td>\n",
              "      <td>1.031789e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1986-03-14</th>\n",
              "      <td>28.00</td>\n",
              "      <td>29.50</td>\n",
              "      <td>28.0</td>\n",
              "      <td>29.00</td>\n",
              "      <td>1070000.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.064720</td>\n",
              "      <td>0.068187</td>\n",
              "      <td>0.064720</td>\n",
              "      <td>0.067031</td>\n",
              "      <td>3.081600e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1986-03-17</th>\n",
              "      <td>29.00</td>\n",
              "      <td>29.75</td>\n",
              "      <td>29.0</td>\n",
              "      <td>29.50</td>\n",
              "      <td>462400.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.067031</td>\n",
              "      <td>0.068765</td>\n",
              "      <td>0.067031</td>\n",
              "      <td>0.068187</td>\n",
              "      <td>1.331712e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1986-03-18</th>\n",
              "      <td>29.50</td>\n",
              "      <td>29.75</td>\n",
              "      <td>28.5</td>\n",
              "      <td>28.75</td>\n",
              "      <td>235300.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.068187</td>\n",
              "      <td>0.068765</td>\n",
              "      <td>0.065876</td>\n",
              "      <td>0.066454</td>\n",
              "      <td>6.776640e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1986-03-19</th>\n",
              "      <td>28.75</td>\n",
              "      <td>29.00</td>\n",
              "      <td>28.0</td>\n",
              "      <td>28.25</td>\n",
              "      <td>166300.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.066454</td>\n",
              "      <td>0.067031</td>\n",
              "      <td>0.064720</td>\n",
              "      <td>0.065298</td>\n",
              "      <td>4.789440e+07</td>\n",
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            ],
            "text/plain": [
              "             Open   High   Low  ...  Adj. Low  Adj. Close   Adj. Volume\n",
              "Date                            ...                                    \n",
              "1986-03-13  25.50  29.25  25.5  ...  0.058941    0.064720  1.031789e+09\n",
              "1986-03-14  28.00  29.50  28.0  ...  0.064720    0.067031  3.081600e+08\n",
              "1986-03-17  29.00  29.75  29.0  ...  0.067031    0.068187  1.331712e+08\n",
              "1986-03-18  29.50  29.75  28.5  ...  0.065876    0.066454  6.776640e+07\n",
              "1986-03-19  28.75  29.00  28.0  ...  0.064720    0.065298  4.789440e+07\n",
              "\n",
              "[5 rows x 12 columns]"
            ]
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          "metadata": {
            "tags": []
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          "execution_count": 15
        }
      ]
    },
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      "cell_type": "code",
      "metadata": {
        "id": "kmxg0dlt5fpl",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 327
        },
        "outputId": "b3ccd790-71df-424e-f926-c5e3dbfefc00"
      },
      "source": [
        "apple.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Volume</th>\n",
              "      <th>Ex-Dividend</th>\n",
              "      <th>Split Ratio</th>\n",
              "      <th>Adj. Open</th>\n",
              "      <th>Adj. High</th>\n",
              "      <th>Adj. Low</th>\n",
              "      <th>Adj. Close</th>\n",
              "      <th>Adj. Volume</th>\n",
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              "    <tr>\n",
              "      <th>Date</th>\n",
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              "  </thead>\n",
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              "    <tr>\n",
              "      <th>1980-12-12</th>\n",
              "      <td>28.75</td>\n",
              "      <td>28.87</td>\n",
              "      <td>28.75</td>\n",
              "      <td>28.75</td>\n",
              "      <td>2093900.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.422706</td>\n",
              "      <td>0.424470</td>\n",
              "      <td>0.422706</td>\n",
              "      <td>0.422706</td>\n",
              "      <td>117258400.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-12-15</th>\n",
              "      <td>27.38</td>\n",
              "      <td>27.38</td>\n",
              "      <td>27.25</td>\n",
              "      <td>27.25</td>\n",
              "      <td>785200.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.402563</td>\n",
              "      <td>0.402563</td>\n",
              "      <td>0.400652</td>\n",
              "      <td>0.400652</td>\n",
              "      <td>43971200.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-12-16</th>\n",
              "      <td>25.37</td>\n",
              "      <td>25.37</td>\n",
              "      <td>25.25</td>\n",
              "      <td>25.25</td>\n",
              "      <td>472000.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.373010</td>\n",
              "      <td>0.373010</td>\n",
              "      <td>0.371246</td>\n",
              "      <td>0.371246</td>\n",
              "      <td>26432000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-12-17</th>\n",
              "      <td>25.87</td>\n",
              "      <td>26.00</td>\n",
              "      <td>25.87</td>\n",
              "      <td>25.87</td>\n",
              "      <td>385900.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.380362</td>\n",
              "      <td>0.382273</td>\n",
              "      <td>0.380362</td>\n",
              "      <td>0.380362</td>\n",
              "      <td>21610400.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-12-18</th>\n",
              "      <td>26.63</td>\n",
              "      <td>26.75</td>\n",
              "      <td>26.63</td>\n",
              "      <td>26.63</td>\n",
              "      <td>327900.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.391536</td>\n",
              "      <td>0.393300</td>\n",
              "      <td>0.391536</td>\n",
              "      <td>0.391536</td>\n",
              "      <td>18362400.0</td>\n",
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            ],
            "text/plain": [
              "             Open   High    Low  ...  Adj. Low  Adj. Close  Adj. Volume\n",
              "Date                             ...                                   \n",
              "1980-12-12  28.75  28.87  28.75  ...  0.422706    0.422706  117258400.0\n",
              "1980-12-15  27.38  27.38  27.25  ...  0.400652    0.400652   43971200.0\n",
              "1980-12-16  25.37  25.37  25.25  ...  0.371246    0.371246   26432000.0\n",
              "1980-12-17  25.87  26.00  25.87  ...  0.380362    0.380362   21610400.0\n",
              "1980-12-18  26.63  26.75  26.63  ...  0.391536    0.391536   18362400.0\n",
              "\n",
              "[5 rows x 12 columns]"
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          "execution_count": 30
        }
      ]
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          "height": 287
        },
        "outputId": "f8aef0e4-ba92-4ae3-e684-93a71ff8bd6a"
      },
      "source": [
        "ms['Adj. Close'].plot() # Microsoft adjusted close price"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f768b43a588>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hQZcHZKL5tHX",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "outputId": "3502a2e8-18f0-4c0d-95ae-60c84e41651a"
      },
      "source": [
        "apple['Adj. Close'].plot(color='red') # Applle adjusted close price"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f768999ca58>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vHIp_8lN1sCA",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 158
        },
        "outputId": "b0d1e76b-0c92-48c3-cb44-3e548a1d8ad3"
      },
      "source": [
        "ms.index # The index in the date-time index"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DatetimeIndex(['1986-03-13', '1986-03-14', '1986-03-17', '1986-03-18',\n",
              "               '1986-03-19', '1986-03-20', '1986-03-21', '1986-03-24',\n",
              "               '1986-03-25', '1986-03-26',\n",
              "               ...\n",
              "               '2018-03-14', '2018-03-15', '2018-03-16', '2018-03-19',\n",
              "               '2018-03-20', '2018-03-21', '2018-03-22', '2018-03-23',\n",
              "               '2018-03-26', '2018-03-27'],\n",
              "              dtype='datetime64[ns]', name='Date', length=8076, freq=None)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FGAJAKv45m6T",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 158
        },
        "outputId": "487d71c9-f0c2-4dfd-8a87-54ccc035a7d7"
      },
      "source": [
        "apple.index # The index in the date-time index"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DatetimeIndex(['1980-12-12', '1980-12-15', '1980-12-16', '1980-12-17',\n",
              "               '1980-12-18', '1980-12-19', '1980-12-22', '1980-12-23',\n",
              "               '1980-12-24', '1980-12-26',\n",
              "               ...\n",
              "               '2018-03-14', '2018-03-15', '2018-03-16', '2018-03-19',\n",
              "               '2018-03-20', '2018-03-21', '2018-03-22', '2018-03-23',\n",
              "               '2018-03-26', '2018-03-27'],\n",
              "              dtype='datetime64[ns]', name='Date', length=9400, freq=None)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u0OOR_K91bCs",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "outputId": "d525936c-bec4-4967-abc9-e7b88b0fec60"
      },
      "source": [
        "ms['2018']['Adj. Close'].plot()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f768ae625c0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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TSeZwSzdzikPPGy+fWQDATvsdaXvPAN5+X/ARhD9A6FLXsARbNjxRxblOFk/PY+P+iZ/P8erhVq748Qb+56k3+OIfdx5XPuWXLxykJNfJlSsqJt3WaLhxbSXt3gEeffVYTH+uf2VfZ+8UCRAq9Xj7B6n1eMMqqnZSaQ5ZGenstFcy1Y3xYlbmth7TeYjw+APEZCapA607qZith1snlOr709ajXPuLTTgz0rhxbSVPVtVxz4uHAHijroN/7W3khrPmhLzTO9ZWzinklOl5/PbF6pjWBRseQUR/s54GCBUVh1v8K5hCDxCO9DSWzsgbChC1Hn9p52BzEP4Uk44gwjEcdEcv7R2OdQtK6BvwseVQ6OXXB+xSFp//4w7OmFvIXz5+NrdfcQoXLS7jW3/fw/Yjbdy94QCujDTeH4WlrZEiItxoL5HddCB25UeGRhBTJcWkUs+hJmseoTKMFBPAshkFVNV4GBj0jZkOKcrOxJEmOoIIU73HS5pA6RhnP4RjdWURjjRhQ4jzEG3dfdz4m1f49caD3LSukntvWk1hTiYiwveuWUGZ28XHH9jGn1+t4V0rZ1KYM7mqrdH29hUVFGRn8NuXDsXsZ9bYb5w6NMWkkpV/D0S4AeLUmfl4+33sb+ykzmO9+AcLEGlpQkmuLnUNV317LyW5ThzpkfnTz3E6OG12AS++OX6A2Fvfwdt/spGXD7bwnXedyu1XLDmuHfnZGdx53ek0dHjp9/n4YBSXtkaKKyOda8+YxdOv1QetChsNdVNtklqlnuqWLvKzMsjPHv+cgUCn2pvkdh7xUNfupTgnk0xH8F/TsjwNEOGqa5/8HoiR1p5Uwq5jHjzdo+fEn6qq4x13bqSnf5Dff2QN7141K+h1K2YV8KP3nMZtb13MvNLol/GIhPefaVWFvX9T9Je8Dgz6hn7nNcWkklZ1c3dYS1z9KotzcDsd7DzWRp2nZ8zJ1DK3U+cgwlQfhQBx9oISjIGXDpy4msnnM/zwn/v4yH1bmV+Wy+OfOJvT7XLto7ls2XRuXj8vom2MpllF2Vy4uJzfv3Ik6vtymjr7hjYm6iomlbQONXeFtcTVLy1NWDYzn51HPdS1j72hq9TtolFHEGGpb/cyLT8y8w9+y2cWkJ2ZzsYR8xBdvQN8/MFt/O8/93L1aTP4w0fOitjqqURz49pKWrr6+OvO2qHHGjt6ee9dmyI6svAv3HA7HbqKSSWnvgEfx1p7JjSCAGvD3J7ado61dlM+zgiiuauP/jDKh09l3v5BWrv7KXdH9kU605HG6rlFbAyYhzjS0s07f/YiT1XV8ZXLF/O9dy8PWq03Vaw9qZj5Zbnc++IhjDE0dHh57y838dKBZu58dn/EypH45x8WlOfqCEIlp6Ot3fgMzJ7ACALg1BkF9A8a2r0DTB9jBOFf6trcGdvDa5KVf9f5WEF3os6eX8KBxi5qPT1sPtDMlXdupKath3tuWs3N6+cl3E7oSBMRbjhrDruOeXj6tXree9cmjrX2cOPaSmo9Xl56c+KbCQP590AsKHPTrnMQKhlVt/hXME1sBHFqQDXXsUcQ/s1yOg8RCv8eiMnWYQpm7UlWraTbH6vi/XdvpiArgz9/fB3nLCyN+M9KVFefPhO308FH7ttKrcfLPTedwZcvW4Tb5eDhbZE5YKjW04PTkcasoiz6Bnz0DkR3zkMDhIq4ansPxETmIABmFmZRaK9+GuvFrEzrMYUl0ruoAy2a5qYoJ5OnX6tnzbxiHv34uqRZhRQpOU4H162ZQ05mOvfctJoz5xXjykjniuUVPLm7LiIpoVqPl+n5Ltwu6++jq1cDhEoyh5q7yclMpyR3YpucRIRT7bpMY65i8u+m1onqkAxtPIzwHARYiws+d/FCPn3RAn5z4xnkZ4W3vDlVfPGSk3n5totYPbdo6LF3nj6Tnv5B/r6rdoyvDI2/urG/QnK0J6o1QKiIq27uYnZxzqTyzitmFZAmYweI4hwt2Of3xK5abv39q2Mus6zzeHFlpJGXFZ1zwq47cw6fvmhhxDbhJaO0NCFnRHn702cXMLckhz9F4BxrawSRhdvlDxDRnYeYundSRc1E90AEunn9XB788BryXKO/E810pFGUk5nUI4hn32jg+rs3T3gllrd/kP/8824++sA2Httew6uHR6+UX2+fA5HqE8aJRkR45+kzePlgC0fs+bmJ8PmMvUzZRa4dIKK9kkkDhIqoQZ/hSGt4Zb6DcbsyWDOveNzrypL8bOpnX2/ghX1N/Gtv+Ie/HGzq4uqfvsh9m6p5n30S2u5jnlGvt45vTc19CInuHafPRIRJTVY3dfUy4DNU5LtwO603TjqCUEmlpq2H/kEz6RFEqErdThqTOMXkr3r7yLbwzhR4bPsx3vajF6jx9HD3Dav41juWMT3fxe6a0QPEaIcvqeibUZDF2pOKeXjb0eNOTAyHfw/EtIAUU2evzkGoJOIv0jfaOdSRVuZ2JXWKyZ9y+Meeejw94/+xe/sH+fLDO7n199tZPD2Pv39qPRcuLgdg6Yz8UUcQxgynJ1R8XLViBkdaethT1z6hr/fvgZgemGLSEYRKJoeaJ1bme6LK8pw0dvRO+F1ZPPl8hiOtPayZV0TfgG/cVS77Gzq48icb+f0rR/jYeSfxu1vWUFGQNfT80op8DjR1Bc1Le3r66R3wDS0NVrG3oNwNDI8EwlVrV4sNXMUU7c1yGiBURO2r7yDTkRazVEaZ28mAz9DanXy7qRs7e+kb8PHWZdOZX5bLI2Pkp/+09ShX/HgjTZ293PvB1Xzx0kVkjFgttHRGHsbAntoT36HWRXEPhAqNf9l3U+fERry17V4y09Moys7ElZFOZnqaTlKr5NHh7eeRV49x4aIy0tJis1ImmY8e9c8/zCrK5urTZ/DKoVaq7RGYX3ffAJ97aAef/+MOls/K5++3rufcUXYnL5th7UAPlmaqtyfydQ4ifkrsQ5qaJlgaps7jpTzfOfS3leuKfsE+DRAqYu7fdJgO7wAfO29+zH5mMm+W888/zC7K5qoVMxCBR18dnqx+va6dK368gUdePcqnLlzAAzevGbNUd1mei1K3k13BAoRn9NP5VGy4MtJxOx0TrkBc6/EyPW84pZjrdKT+HISI3Coiu0WkSkQ+bT/2PyLyuojsFJFHRaQg3u1UY/P2D3L3hoOsX1DCsoBaStE2XG4j+VYy+UcQMwqyqCjI4qx5xTz66jGMMfz+5cNc+ZONeHoGuP9DZ/LZtywkPYRR2dKKPKqOjZ5iKovQWdRqYkrczgmnmPy7qP3cLkdqp5hEZCnwYWA1sBx4m4jMB/4BLDXGnArsBf49fq1UofjjliM0dfbGdPQAyZ1iOtLSw7Q811AZ7KtPn0l1czfv/eUmvvzILs6oLOKJW9ezbn5JyN9z2Yx89jV00NN3/I7qunYvRTmZOB2pW3I7GZTkZk4oQBhjqPN4mV4wHCBynY6Un6ReDGw2xnQbYwaA54GrjTFP258DbAJmxq2FalwDgz5+8a8DnD67gDXzisb/ggjKypzcsD2ejrR0M6toOGVw6dJpZGWk8/LBFj5/8ULu/eBqSsNcdbRkRj4+wwlLKRvavbqCKQGU5DonNAfR0tVH36DvuPL3blfqp5h2A+tFpFhEsoG3AiMPq/0g8MRo30BEbhGRLSKypbEx/N2oKnzPvtHAY9uPDU2QPb6zhqOtPXzsvPlxKeNQmudMynpMR1q7mVU0vF8k1+ngVzes4pGPreMTFywIKaU00lJ7orpqxDxEne6BSAhWgAj/zUxtwCY5P7crI+oppuhU7QqRMWaPiHwbeBroArYDQ2NjEbkNGAAeGON73AXcBbBq1arkWwyfZJ57o4EP3fMKPmPVQjpnQSn7GjpYNM3NBYvK4tKmZCy30TswSF27l1mFx28oDCedFExFvouinEx2j5iHqPP0srQidnNDKriSXCdt3f30D/pOWKY8lsBNcn65MTh2NN4jCIwxdxtjVhpjzgFaseYcEJEbgbcB1xlj9IU/Aexv6OCTD77KydPyePDDZ/L+M+dQVeOhurmbT1wwP2ZLW0dKxt3Ux1p7MIbjRhCRICIsqcg7biVT/6CP5q5eXcGUAErc1l6IcE9BrLPPoj4uQNiT1NF8eYzrCAJARMqMMQ0iMhu4GlgjIpcCXwTONcZMvPyhipjWrj4+dO8WnBlp/OqGVXZtmRK+cvliajw9zCyMTWmNYE4qzeXxnTW0dfdRkD2xMyhi7Uir9Qc/O8IBAqw00y//dYDegUGcjnSe2dOAMVBRoAEi3ob3QvSGlfKr9XhxpAnFucPzSG6Xg/5BQ++AL2rnfcd9BAE8LCKvAY8DHzfGtAE/AdzAP0Rku4j8PK4tnOL6Bnx89IGt1LZ5+cX1VnDwS0uTuAYHgHXzizGGiJ37GwvDm+SyxrkyfMtm5DPgM+yt6+Rfexv51O9eZfnMfC4/tSLiP0uFxx8gGsOch6jzeCnPcx03L+V2Rv9MiLiPIIwx64M8Ftu1kmpMv9pwgE0HWvj+u5ezck5hvJtzguWzCsjJTGfD/iYuWzY93s0JydGWbjLT06Jyupt/ruE3Gw/yt121nFSWy70fXD1Uv0fFT6l/BBFmStR/1GigwDMhwl3tFqpEGEGoBNY7MMhvNh7inIWlXH16Yq42zkhPY828Yjbub4p3U0J2uKWbmYVZUZm3mVWURZ7LwSOvHmN2UTb3f2h10qTeUp1/DiLcpa7BVqENnwkRvYlqDRBqTI9tr6Gxo5db1s+Ld1PGtG5+CYeauyd1YlcsjVziGkkiwuq5RcwryeGBD595XN5axVd2poPszPSwlroaY6hp6xl9BJHKKSaVuIwx/OqFAyya5mbd/PFPd4unsxdYy0NffLOJa4tmx7k14zvc3M2KWdGrIHPndadjDFGbvFQTF+5eiLZuq1R74B4IYPhc6ijuhdARhBrV83sb2VvfyYfXz0v4c4wXlOVS6nayYX/oE9U9fYNc9sMX2HQgtpPbnu5+2r0DUVnB5Od0pGtwSFDhltsItgcCiMmxoxog1Kh+9cJByvOcXLE88Ve/iAhnzy/hxf1NIR8eVN3SxZ7a9pjPXRxptVcwxXn1l4qPklwnTR2hz0HUtQ8fFBRoOMWkcxAqxqpqPGzY38SNa+eS6UiOX5N180to7urj9bqOkK73n+x1qDm28xZHAs6BUFNPuBVdRxtB5MZgmWty/OWrmLv7hYNkZ6bzvtWJn8/388+ThDoi8AeIkYf0RNvQCEIDxJRUkuukpbuPgUFfSNfXebykp8lQ5WK/TEcaTkd0T5XTAKFOUOvp4S87arj2jFnkZ2fEuzkhm56fxUmlOWwINUDYZyQcbOqKarmCkQ63dJPncpCflTz/b1XklOZmYgy0hHhMbq3HqsQbrHij2+XQSWoVW/e8eAifMXxw3dx4NyVsZ88v4eWDLfQODI57bb0dIDq8A7R1R7foWaAjLT3MLtbRw1Q1VG4jxHmIWk/PqGU53K4MTTGp2OnsHeDBzYe5bOn0pEyBrJtfQk//IK8ebhv3Wn+KCeBQDNNMR1q6dYJ6CitxD9djCkWwXdR+1rGjOkmtYuQPrxyhwzvAzeuTb/QAsOakYtIktHmIuvZe5tjv5KtjNFHt8xmOtvZEdYmrSmyBBfvG4z9Jblpe8Jpduc7oHjuqAUINGRj08esNBzmjspDTZidezaVQ5LkyWD6rIKR5iPp2L2dUFiESuxHEsbYe+gZ9STk6U5FRkusvtzF+gGj3DtDdNzjqCMLtcmiKScXGk1V1HGvr4eYEL6sxnrPnl7DjSBvtYwy9vf2DtHT1Macom+l5rpiNIF451ALAabOjt4taJbZcpwOnIy2kekx1QyfJjZJi0gChYsEYwy//dYC5JTlctLg83s2ZlHXzS/AZ2DRG+W//CXTl+S7mFOfEbASx+UALeS4Hi6blxeTnqcQjIvZmufFHELVBDgoK5NYUk4qFVw61suOohw+ePXdCZyEnktNmF5CVkT7mPIR/ieu0PBeVJdkcjtEIYvPBZlbPLUr6/8dqckrczpDOhPCPIKYXBJ+D8J9LHa1l2hogFAC/fOEAhdkZvCtBS3qHw+lIZ/XcojHnIfwBYro9gmju6hszJRUJ9e1eDjV3c3mCspwAACAASURBVObcxC58qKKvNDczpBRTjceLiHXuejC5LgeDPkNP//jLuidCA4TiQGMn/9xTz/Vr5pCVmRoF3s6eX8KbjV1DQ/SR6u13ZuX5LirtlUzRHkX4iwKeOa8oqj9HJb5QK7rWeXoozXWSkR78pTra5TY0QCju3nCQjPQ0rj+rMt5NiZh1863y3xtHqe5a1+4lOzMdt9PBnOIcIPormTYdaMHtdHDKdJ1/mOpKcp20dPWNW1hyrD0QEFDyWwOEiobmzl7+tPUoV582I2rHFsbDomluinMyR52HqGv3Mi3PhYjEbC/E5oPNrKosxDHKu0E1dZTkZjLoM7SOU26jznPiSXKB3AHHjkaD/qZOcfdvOkzvgC9pN8aNJi1NWDu/hA37m4JO4PkPgQfrlK/yPCeHmqI3gmjo8HKgsYsz5+n8gwrcTT1+gJieH3yCGiA3yseOaoBIYT6foa27b9QVDt7+QX770iHOP7mU+WXu2DYuBs6eX0xjRy/7GjpPeG7kO7M5xTlRHUG8fNDa/3DmXJ1/UKHtpu7w9tPROxDaCCJKKaaEOHJURG4FPgwI8EtjzA9EpAj4A1AJHALebYxpjVsjk9CP/28///vPvRRmZ7CgzM388lzOW1jKhYvLSU8THn31GM1dfXz4nOTeGDca/zzEhn1NLCwfDoA+n6GhY3gEAVBZnM1zbzRGrS2bD7SQnZnO0hn5UfsZKnmEEiDq24OfAxFoaJI6VVNMIrIUKzisBpYDbxOR+cCXgWeMMQuAZ+zPVRh2HfNQ5nZy6dLp+Izh8R013HLfVs75zrPc+ex+fvXCAZZU5HFWiqY9ZhZmU1mcfcI8REt3H/2Dhml5w3Muc4pzaOjopbsvOn9o1vxD0airUdTUUmoHiMYxNssNHxQ0eoopzxXdY0cTYQSxGNhsjOkGEJHngauBK4Hz7GvuBZ4DvhSH9iWtIy3dnDqzgP939TIA+gd9PLOnnvs2VfM/T70BwA+uXZHw501Pxrr5Jfz51WP0D/qGXpyHyxcM/+FV2iuZqpu7WRzhVUbNnb3sre/kyhUzIvp9VfLKy3KQmT52uY3atvFHEDlOa1l6tFJMifB2ZjewXkSKRSQbeCswCyg3xtTa19QBQes/iMgtIrJFRLY0NkYvRZBsjDEcbukeWqEDkJGexqVLp/PAzWt45nPn8t1rlifFedOTcfb8Err6BtlxZLj8t3/ofvwchH8lU+Qnqv3zD2t0/4OyiQjFuZljppj8I4iyvNFXFzrS08jKSE/dSWpjzB7g28DTwJPAdmBwxDUGCDrTaoy5yxizyhizqrS0NNrNTRqNnb309A+OWlb6pNJc3rVyZsqXfDjrpGJEOG5XdWCZDT9/gIjG+dSbD7bgykhj2Qwt0KeGjbdZrq69h5LcTJyOsTevul3Rq8cU9wABYIy52xiz0hhzDtAK7AXqRWQ6gP3fhni2Mdn4dwVP9ZPLCrIzWTYj/7h5iDqPlzQZLrsMVk2bktzMiI8gjDE8+0YDq+cWk+lIiD83lSBKQhhBjLWCyS83iseOJsRvrIiU2f+djTX/8CDwF+AG+5IbgMfi07rk5F+yqQfTWPMQrx5uG3qXVefxUup2nrBhbU5xDoeaIjuC2HnUQ3VzN29bNj2i31clv1K3c8xjR8c6KCiQ2xm9kt8JESCAh0XkNeBx4OPGmDbgDuAtIrIPuMj+XIXocEs3IjCzcPxfsFR39vwSBnyGlw9aZTf8u6hHmlOcHfERxOM7ashIFy5ZMi2i31clP3+KabRyG7UeLxUF448g3K6MqB07mhABwhiz3hhzijFmuTHmGfuxZmPMhcaYBcaYi4wxLfFuZ6z8ZUcNP3pm36RK+B5u6aYiP2vc/OVUsHJOIU5HGhv2WQGivv34PRB+s4uyqfF46RvwReTn+nyGv+6s5dyFpeRnZ0Tke6rUUep2MuAztPWc+OLe3TeAp6c/tBRTFM+ESIgAoY53z8aDfP8fe3lg8+EJf4/DLd3MKtLRA4ArI50zKouG5iHqRimAlp9lvYhH6o/tlUMt1LV7U36lmJqYUvfom+WG90CEOAeR4ikmZTPGsL+hkzSBrz1exbbDE9s8Xt3czZyinAi3Lnmtm1/CG/UdVDd30e4doDzIH16OvSu1K0IB4vGdNbgy0pL+hD4VHWNtlhvaqxPKHITLkdL7IFSAxs5e2r0DfOrCBUzLd/HR+7eOudsymO6+AZo6e6f8CqZAZ9tlNx7edgwg6ByE2xm5ypj9gz7+vquOCxeXDwUepQL5C/YF+/sOZwRx+bLp3Hb54sg2zqYBIsHsr7cKy62cU8jP37+Stu5+PvHgNgYGQ8+LH27RFUwjnVKRR0F2Bo9sOwoEDxCRHEG8+GYzLV19vF3TS2oUpWMEiDr7oKtQ5iBWVRbxntWzI9s4mwaIBLO/0QoQC8rcLKnI5453LmPzwRbueOL1kL+Hf4nrHB1BDElPE9aeVMzRVusPb6wUUyRGEI/vqMHtdHDuQt28qYJzOx04HWmjzkEUZmfgyojvIhMNEAlmf0MnuU7rfAKAd5w2kxvOmsOvNhzk8R01IX2PIzqCCMpf3RWCjyByh0YQkzvf19s/yFO767h4ybS4/4GrxCUilLqdo85BjFWkL1Y0QCSY/Q2dnFSWe1wBvdsuP4WVcwr54p928kZdx7jfo7q5mzyXg4LszHGvnUr88xBupyPovIC/8NlkU0yP76iho3eAt6/Q9JIaW0muk8ZRRhChzD9EmwaIBLOvoZP5pbnHPZbpSOOn151OrsvBv92/lfZxNsUcbunWCeogZhdlM7Mwa9S8bm4EUkzH2nr477++xmmzC4YCklKjGW0EUevpCWn+Ido0QCQQT08/jR29LCjPPeG58jwXP73udI60dPPZP+wY87Dzwy26xDUYEeGLly7illEOSJrsHMSgz/C5h7bj8xl+cO2KlC+EqCav1H1iwT5v/yCt3f06glDH228fjTlyBOF3RmURt12+mH/uqefOZ/cHvWbQZzja2s0snX8I6u3LK7hm1aygz2Wkp5HpSJtwiulXLxxg04EWbn/7EuYUa4BW4yvJddLc1XfcKsVg55XEiwaIBPKmP0CUBQ8QADeureTKFRV8/597ee6NEwvc1np66B80uoJpgiZatqCqxsN3n36DS5dM45qVM6PQMpWKSt1OjIGWruGifeHsgYg2DRAJZF9DB5mOtDHf/YsI/+/qZZxc7ubW328fWrHk5y/zPUdHEBOS63SEPYLw9g9y6++3U5idybeuXpbSJ/SpyBraTR2QZqprD30PRLRpgEgg+xs6mVeSM27uOjvTwS+uX4kxho/ct5WevuFlmf5Ncppimpgcp4POMJe53vHE6+xv6OS71yynKEdXjqnQBdsspyMIFdT+xs4x00uB5hTn8IP3rOC12nZu+/Ouocqv1S3dONKEioL45y+TUa4zPawRxHNvNHDPi4e4aV0l5+imOBWmYPWY6jxe8rMyyM6Mf4kWDRAJoqdvkKOtPSEHCIALFpVz64ULeGTbMe7fVA1YKaaZhVm6gmaCcpwOuvpCCxAtXX184U87WViey5cuXRTllqlUVOK2RpyBKaaatsTYAwEQ/xClAHizsRNjrBIb4bj1wgXsPNrGf//1NU6pyLP3QOgKmonKcTqG0nRjMcbw5Yd34unu596bVuuOaTUh2ZkOcp2O406Wq2tPjD0QoCOIhPFm4/grmIJJSxN+cO1pTM/P4qP3b+NgUxez9RyICcvNDG2S+qEtR3j6tXo+f8lCTqnIi0HLVKoqdR+/m3q080riQQNEgvCfAVFZEv7kcn52Br+4fiXt3n46ewd0k9wk5DjHr61/qKmLrz3+GmfNK+bms4NvulMqVCW5mTR2WBPTvQODNHX2hXQORCxogIiC/kEfR1q62VrdiifIcYLB7G/oZE5xzoSPCF08PY87rj4VgEXTw0tTqWG5znS6+gZH3aneP+jj03/YjiNN+N67l5Omcz1qkqzd1FaKqaHdGkkkyghC5yAmoG/AR62nh2OtPRxt7eFoa7f13zbrsVpPD/7XlzSxziI4c24xb102nZVzCoN+z30Noa9gGs1Vp81g7UnFQ0vnVPj85Ta6+weHajMF+sn/7Wf7kTZ+/N7TdKWYiojSXCcb91vnpdcO7aLWAJF0+gZ8vPNnL7K7xoMJeIOZJjA9P4sZBVmcObeImYVZzCzMpjAnk6oaD5sONHPfpmruffEQT9y6ngXlx7/D7x/0caipi7ecMvmjKcuClLFWoct1DR8aNDJAbK1u5SfP7ufq02boOdMqYkpynXh6+ukdGKTWPiiooiAx/o4TIkCIyGeAmwED7AJuAtYB/4OVBusEbjTGBC9AFCNVNR52HfPwztNnsmZeETMKs5hVmM20fBcZ6cGzdf4X/abOXi747nP812NVPPjhM4/bbVvd3M2Az4xag0nFTmBF18Bw3dM3yGcf2s60PBdfvXJJfBqnUpJ/xN/U2ZdQdZggAeYgRGQG8ClglTFmKZAOvAf4GXCdMWYF8CDwlfi10rLtcBsAX7jkZK5ZNYu1J5Uwqyh71OAQqCTXyRcuXcRLB5r5S8DBP8YYfr3xIGDNI6j4yskMfuzo9iNtVDd3859vW0yeKyMeTVMpaihAdPRS6/HidjqCpjfjIe4BwuYAskTEAWQDNVijCf8rZr79WFxtO9xKRb5rwvnB962ezakz8/nm3/bQYZ/p8L2n9/Lg5sN85Nx5ulwyAYxW8ru125pE1CqtKtICy20kyjkQfnEPU8aYYyLyXeAw0AM8bYx5WkRuBv4uIj1AO7Am2NeLyC3ALQCzZ0fn4G6/V6tbOX2USeZQpKcJX79yKVf9dCM/+Oc+puW5+Mmz+3nv6ll8WXfiJoTRjh31BwittaQirSSgYF+dx5tQASLuIwgRKQSuBOYCFUCOiLwf+AzwVmPMTOA3wPeDfb0x5i5jzCpjzKrS0ujVwqn19FDj8XL67IkHCIDlswp47+rZ/GbjQb759z1cvmw637hKK4AmitGOHW21yzEXZGt6SUVWca5dbsNOMSXKEldIgAABXAQcNMY0GmP6gUewJqiXG2M229f8AVgbrwYCbKu25h8mM4Lw+8LFJ1OS6+TchaX8r548llD8I4iOE1JM/WRnpk94n4pSo3E60inIzqDW46WxszdhJqghAVJMWKmlNSKSjZViuhDYAlwjIguNMXuBtwB74thGth1uxelI45QITCQX5mTy/BfOx5WRpiOHBJPjDD5J3drdR2G2ppdUdJTkOnnNXj5fkUAjiLgHCGPMZhH5E7ANGABeBe4CjgIPi4gPaAU+GL9WWgHi1Jn5ZDoiM+jKytR3ookoOzMdkeAppsIcTS+p6CjNdbK1uhVInE1ykAABAsAYcztw+4iHH7U/4s7bP8juYx4+uG5uvJuiokxEyM088djR1u5+HUGoqCl1O+mzz6WenkAppkSYg0h4VTUe+gdNROYfVOLLCXLsaFt3HwUaIFSUBJbHSaQRhAaIEAxNUE9yBZNKDjnO9CDLXPsp0hVMKkr8S12zM9PJcyVEYgfQABGSrdWtzCrK0iJ4U0Su8/gU08CgD09Pv44gVNT4X1um5bsSauGKBohxGGPYdriVlTp6mDJGppj8JdsLdQShosQfIBJpDwRogBjXsbYeGjp6df5hCskZMYJo7bYDhO6iVlFSaqeYEuWgID8NEOPwF+jT+YepI9fpoKsvMEBYu6h1FZOKlhK39buVKGW+/TRAjGNbdStZGeksmqantE0VOc70444d9ZfZ0AChoqU018nNZ8/lrcumx7spx0mc6fIEZIzhuTcaOGNuEY4QSnqr1GDNQQyvYmqzU0xah0lFi4jwlbedEu9mnEBf9cawt76TQ83dXLJk8ie9qeThdjroG/TRN2BtXGrRSq5qitIAMYYnd9chQkSOAlXJY2Q9ptbuPjLT08jW8ihqitEAMYanqupYObuQMndiTRyp6Bp5aFBbVz8F2RkJtT5dqVjQADGKIy3dvFbbziVLpsW7KSrGhg4N6hseQegEtZqKNECM4qmqOgANEFNQsBSTVnJVU5EGiFE8VVXH4ul5zC7OjndTVIzl2qfKddormbSSq5qqNEAE0djRy5bqVl29NEWNHEFoJVc1VWmACOIfr9VjDFy6VNNLU1FOpj1J7R3AGGNVctUUk5qCNEAE8WRVHXOKszm5XHdPT0W5AauY2r0DDPqMppjUlKQBYgRPTz8vvdnEpUum6bLGKSowxdRmb5LTFJOaijRAjPDA5mr6Bw2XJVhNFBU7mY40Mh1pdPYNDFVy1RSTmoo0QAQ41tbDj5/Zz8WnlLNiVkG8m6PiKNc+E8JfqE9HEGoq0gAR4OuPv4bB8F9XJF7RLBVb/mNHtdS3msoSIkCIyGdEpEpEdovI70TEJZZvisheEdkjIp+KZhuee6OBJ6vq+OQFC5hZqHsfprqcTOvQoKHDgrSSq5qC4l7uW0RmAJ8CTjHG9IjIQ8B7AAFmAYuMMT4RKYtWG7z9g9z+lyrmleRw8/q50foxKokEppjSBPJcGiDU1BP3AGFzAFki0g9kAzXAN4D3GWN8AMaYhmj98F88f4Dq5m7u/9CZOB1asVNZK5nauvtotTfJpaXpijY19cQ9xWSMOQZ8FzgM1AIeY8zTwEnAtSKyRUSeEJEFwb5eRG6xr9nS2NgY9s/v6h3g1xsPcvmp0zl7QckkeqJSSa7TQUfvAG3d/XpQkJqy4j6CEJFC4EpgLtAG/FFE3g84Aa8xZpWIXA38Glg/8uuNMXcBdwGsWrXKhPvzc5wO/vrJs3E64h4rVQKxJqkHaO3uo0gnqNUUlQivihcBB40xjcaYfuARYC1w1P43wKPAqdFqwKyibMry9MwHNSzXmUFX7yAtXVqHSU1diRAgDgNrRCRbrK3LFwJ7gD8D59vXnAvsjVP71BSU60ynq2/APgtCU0xqaop7iskYs1lE/gRsAwaAV7FSRlnAAyLyGaATuDl+rVRTTY7TgTHQ0NFLoZ5FraaouAcIAGPM7cDtIx7uBS6PQ3OUGqrHZIxuklNTVyKkmJRKOP6KrqCb5NTUpQFCqSByAgKETlKrqUoDhFJB5DiHN0wW6RyEmqI0QCgVhKaYlNIAoVRQmmJSSgOEUkG5jwsQOoJQU5MGCKWC8I8g3C4HGen6Z6KmJv3NVyqI7Mx0RHQPhJraNEAoFYSIkJPp0AlqNaVpgFBqFDnOdC2zoaa0hCi1oVQiWlqRz5KKvHg3Q6m40QCh1CjuvvGMeDdBqbjSFJNSSqmgNEAopZQKSgOEUkqpoDRAKKWUCkoDhFJKqaA0QCillApKA4RSSqmgxBgT7zZEjIg0AtUhXl4CNEWxObGUSn0JR6r0O1X6AdqXZDTHGFMa7ImUChDhEJEtxphV8W5HJKRSX8KRKv1OlX6A9iXVaIpJKaVUUBoglFJKBTWVA8Rd8W5ABKVSX8KRKv1OlX6A9iWlTNk5CKWUUmObyiMIpZRSY9AAoZRSKigNEEoppYLSAJEkROQCEcmJdzvUxOj9SzwicrqI6KHjY0jJACEit4jI10UkK95tmSwRuU5EtgLnA/3xbk8s6P1LTPZ9udX+t8S7PRMlIu8TkR3AJYAv3u1JZClz5Kj9C+sAbga+BHiBp4EX4tmuiRIRB/Bp4DbgMmPMpjg3Kar0/iUuEXEBnwM+BmSLyGPGmEPxbVX47H58FXgP8D5jzIsBz4nRJZ0nSIkRhIhkGks/sA1YDPwCuElEiuPbuokxxgwA+4D7gWoRyRSRd4pIRZybFnF6/xKTiKQDGGO8wBZjzAzgl8A34tqwCbL70QDcC2wWkSwRuVhE3Bocgkv6fRAicjuwDPgr8BdjTIv9uAv4C3A38EdjTMIPJUXkP4BnjDGb7c/LgA8A78d6d70dKAeeM8Z8U0TSkqFfY9H7l5j9EpGvAqXA/xljHva31Z5H2Q7cYox5NpH7ACAinwCeN8bssj+fD3wEWAFMA94ABHjKGHNXovcn5owxSfsBfAYrDXEhcB/wQ2B6wPPvBR4D5sW7reP0YzrwMNAG7Bvx3FnAt4CZ9udLgVagON7t1vuXmvcPKw3zd+Aq4Dn7PhUFPP9J4F/YbzAT8QOYAzwP1AH/GPHctcAPgDL784uwgl5+vNudaB9Jm2Kyh7+nAV8zxjwDfB3oxsr7AmCM+R3QDpwrImeIyHVxaez4PFjvkguANhH5bMBzr2D18SiAMWY38CRWKeKkpfcvMe+fvarnbOBzxpg/A7cDFVjBGgBjzI+BdOAdIjJbRC6PS2PH1gI8ACwAfCJyY8BzjwJfNsY02J+/BuwEkn5RRKQlZYCwJ5QGgXqsSU2A/cAjwGIRWRlw+W+Bn9rPuWLa0BAZY7qBv9mffga4TUQy7c99xphesP54ReTHQB6hn3sRdyNXvCTz/Qu2eidZ71+Q+5JmrHmgPQwHhBexgtypIrIw4PLvAn/CGklkx6C5oxrl96sDuM/+78+BTwQsae031nyE/43KbVgpwMYYNjspJE2AEJGhthp7XIhVTGumiKw0Vt7wEPAyVn7Rn2/8OtZE4cnGmLtj2uhRBPbFzxjTYf9ib8AaGv/cftxnf82VwEvAIHCN/xc8GQTcr5GfJ939G9mXgMeT/v6Z4dz734DZIrLIDhi7sEZJFQB2AP9PrIUEpxhj/hiP9o7Gf4+MMT32Q48Be4GvBT4vIh8AtmAtP/6Q/aZFBUjoSWoReTsw3xjz/cDJo4AJs0yslMRKY8y19nM/AnYYY+4WkSIg0xhTF7dO2Mboi4D1SysiDmPMgIiUY72LW4g1qdmBtV7bYZJoeaGdergO64/zfmPMfvvxdGPMYJLdv9H6koZ1+5Lm/onIpcBHsV74/2yM2WI/7r8vs7BGdpnGmH+3n/sr8BtjTVjPAjDGHIlPDyxj9GPongRcuxLrDcl5WJPTdcBsoNd/L9WJEnIEISIOEfkS8CPguyKywg4I/mV3/nc6+ViTm8UicpuInAScDAzY17XE+8UlhL74X1xKsfelGGPqsVIqDcA9QK4x5mgivLiEQkRcIvJz4L+A3wFzgX8TkbkAAe/UkuH+jdcXXzLcP7G4ROQe4CtYq8NygQ+JSHFA2g+sgPY0sEREPiXWUmMH0AVWYIhXcAixH/57UuBPKxljtgI7sOYm7sWadK/S4DCOUGay4/EBvAMr5/xpYNOI59KBH2MNHacBS4BvYg0X/yvebZ9AX34E/Bk4BStoX4+VbvlCvNs+iT7fCsyy/70I+D/sFUpARpLdv/H6kjT3z/5dTLf/fQ7w84DnBGu+59dYk+hnAL/Beof+1Xi3Pcx+3IkVCCrtxz4DHEnEe5LIH3FvQMBN/RRwB/Bu+/OMgOcOYu189H++3P7FLRzxPZzx7kck+gKsAgri3Y8J9vka+/Ms+w/VaX/+D+B0+98rkuT+TagviXT/Rv4uBjx+Ddak7LNY8zxrgdVYI57AvqQDrhTox4UELNXVjxD/v8e9AdYf3meAjcC7sHK3N2KvUbaveQdwbJSvT493HyLYF0e8+xDBPpcGXDPLfj4vSe9fqH1JmPs33u8iVi5+GVbq6KPAr4DyRLsvEehHwtyTZPyI+xyEse7i+cBXjDF/wvplOBWrkJb/mkeBvSLyeQAReYv93zSTQCsPItCXgdi3enLG6POlAZctA94wxrSLSIWInAZJdf9C7UvC3L8x+nKZ/fxzxphddpt3ATlAl53jT5j7EoF+JMw9SUYxDRDB1l3b/9wCrAcwxjyJVcNmiYicHHD5R4HviEgd9nI7E8ct8anUl1BNoM9L7OdLAa+IfBJ4CphpX5tM9y9V+rJYjt/PAHAx1ibFHmOJS19SpR+pJNYjiON2KgbcwP2AW0SW2Z8/j7XCxQ0gIiuwioQ9jJX7vTc2zR1TKvUlVOH22X/9VcC/AfOBS40xj8egreOZyn3JE6t44PUishOoBP49AUYNqdKPlBGTACEia0TkYeBOsaonptuP+8uNv4y1tPFiey35a8AMrMk+gGbgY8aYa4wxNbFo82hSqS+hmkSfV9vP3wdcaIy51RhzLNbtD6R9YQbWvpM+rFU9HzXGfMAMl52IuVTpRyqKeoAQkfMYLpXwBlZly8LA/KCx1iJvAU4Cvmx/aS92OQJjrbveFe22jieV+hKqSfb5gP38I8aYZ2Pc9BNoX4DjfxefM8ZsjHHTj5Mq/UhVsRhBnAq8Yox5AKtkQgbQaYZ3En9DRO4GtmKtJ18t1glcLVg53kSSSn0J1WT6/HSc2jwa7Uvi9SVV+pGaRlveNNEPYA2wMODzFVg383as4mzPYW3EuRZrzfKDWCUo/NfnkjhryFOmL1Oxz9qXxOtLqvRjqnxE8sYXYBX56sDaAp8b8Nxq+6a/0/78Q1gTtcsDrkmL9/+MVOzLVOyz9iXx+pIq/ZhqH5FMMeVgpVE+af97vf8JY8zLWMsD/SWO/8/+hWmF4eJ7EWzLZKVSX0KVSn3WvpBwfUmVfkwpkwoQIvIBETlXRPKMtaLjLuAhrAPnzxT7/F0RcWLVlf+Y/aUXAkX2dSTCzU+lvoQqlfqsfQESrC+p0o+pLOxy3/ZmlmlYuUEf8CbWO4JbjTFN9jXrgHdjHXR+n/3YEqw84zSs+uufMMbsiVA/JiSV+hKqVOqz9iXx+pIq/VC2cPJRDFdPXIhVEx+GK6s+MuLazwDfwBoqZtmPZZEg5wunUl+mYp+1L4nXl1Tph34Mf4SUYhKRdBH5FvAtETkXq2b/IAzV9r8VWGs/5/dLrBUH/wAOicgMY0yPMeZAKD8zWlKpL6FKpT5rXxKvL6nSD3WicQOEfVO3AoVYW96/jjUEPF9EVsNQjvCr9off5Vg5xe3AMhPnXaeQWn0JVSr1WfsCJFhfUqUfKjjH+JfgA75nhnOFp2GdqvVfwM+AlWIV1fozcIGIVBrr5CwvcJEx5l9RafnEpFJfQpVKfda+qhUSbQAAAsRJREFUJF5fUqUfKohQUkxbgYfEro+CVZd9tjHmHiBdRD5pv0OYCQzaNx9jzGMJePNTqS+hSqU+a18Sry+p0g8VxLgBwhjTbYzpNcMVEt+CdYITwE1YZXf/inVe7zY4sWxvokilvoQqlfqsfUm8vqRKP1RwoaSYAGsiCjBAOfAX++EO4D+ApcBBfx7RGBPe2tkYS6W+hCqV+qx9STyp0g91vHA2yvmwCmk1Aafa7wr+E/AZYzYk2SRTKvUlVKnUZ+1L4kmVfqgAYW2UE5E1WDseXwR+Y4y5O1oNi7ZU6kuoUqnP2pfEkyr9UMPCDRAzgeuB7xtjeqPWqhhIpb6EKpX6rH1JPKnSDzUs7FIbSimlpoZYn0mtlFIqSWiAUEopFZQGCKWUUkFpgFBKKRWUBgillFJBaYBQaoJEZFBEtotIlYjsEJHP2YXpxvqaShF5X6zaqNRkaIBQauJ6jDErjDFLsGoQXYZ1KtpYKgENECop6D4IpSZIRDqNMbkBn88DXgFKgDnAfVjHbYJ1hOaLIrIJWAwcBO4FfgTcAZwHOIE7jTG/iFknlBqDBgilJmhkgLAfa8M6Ua0Dqw6RV0QWAL8zxqwSkfOAzxtj3mZffwtQZoz5hog4scplX2OMORjTzigVRMjVXJVSYckAfiIiK7CO31w4ynUXYxW3e5f9eT6wAGuEoVRcaYBQKkLsFNMg0IA1F1EPLMea6/OO9mXAJ40xT8WkkUqFQSeplYoAESkFfg78xD7vIB+otU9Tux7wn7jWAbgDvvQp4KMikmF/n4UikoNSCUBHEEpNXJaIbMdKJw1gTUp/337up8DDIvIB4Emgy358JzAoIjuAe4AfYq1s2maftNYIXBWrDig1Fp2kVkopFZSmmJRSSgWlAUIppVRQGiCUUkoFpQFCKaVUUBoglFJKBaUBQimlVFAaIJRSSgX1/wHeOM0ia+ptkwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zYGRZYxI6cqf",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "outputId": "b6cfdcfa-a5ef-4e4e-aeb9-e2727229601c"
      },
      "source": [
        "apple['2018']['Adj. Close'].plot(color='red')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f76892917b8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Q8DQT4lA1zSy",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 321
        },
        "outputId": "093a9378-4e7d-4f5c-bdff-0535226fdc41"
      },
      "source": [
        "ms['2018-03']['Adj. Close'].plot()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f768ae11828>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RB_lB_SJ6kZf",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        },
        "outputId": "9f9ae83c-dfe8-4208-cd7f-2545bed34955"
      },
      "source": [
        "apple['2018-03']['Adj. Close'].plot(color='red')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7689265c18>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qJNTpzJM2MaA",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "outputId": "e6b283dd-18da-4aa7-a254-5a61a5873cd8"
      },
      "source": [
        "ms.loc['2018-01-01' : '2018-03-31' ]['Adj. Close'].plot()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f768ae26fd0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VfZalt2o2bLX",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 125
        },
        "outputId": "f1da9622-8cbe-434a-ce01-8a8bc8709764"
      },
      "source": [
        "ms_price = ms[['Adj. Close']]\n",
        "apple_price = apple[['Adj. Close']]\n",
        "\n",
        "ms_price.rename(columns = {'Adj. Close':'MSFT'}, inplace = True)\n",
        "apple_price.rename(columns = {'Adj. Close':'AAPL'}, inplace = True)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/pandas/core/frame.py:4133: 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",
            "  errors=errors,\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ipQCyDof4bqe",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "both_stocks = ms_price.join(apple_price, how='inner')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jhv2Dapv5JnO",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "outputId": "4cd8430b-2a11-4327-b35b-00eb41f7ab49"
      },
      "source": [
        "both_stocks.plot()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7689a9b710>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dc8aILsF5Mx-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "outputId": "0a22aafc-ce02-4970-db4e-545da8a08d61"
      },
      "source": [
        "both_stocks.loc['2017'].plot()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7689a99668>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-KXEWl445Yz1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "outputId": "6e74fe92-51b0-43b8-986a-fb52893cc633"
      },
      "source": [
        "both_stocks['2017'].rolling(min_periods=10, window=60, center=False).mean().plot()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f768917fda0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TkS5_8DM7OxP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "outputId": "6948f239-d573-4951-be5d-8c18302df1d2"
      },
      "source": [
        "both_stocks['2017'].rolling(min_periods=10, window=60, center=False).std().plot()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f768910bc50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}