Correlation_between_Commodities_Indexes_Treasure_VIX_BitCoin.ipynb

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        "<a href=\"https://colab.research.google.com/github/YigitBCesur/Finance-and-Trading/blob/main/Correlation_between_Commodities_Indexes_Treasure_VIX_BitCoin.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",
      "source": [
        "# CORRELATION"
      ],
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        "id": "Z5IkHnVrv9FR"
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        "*   Correlation measures association , but does not show if x causes y, vice versa\n",
        "*   Correlation is a stat that measures degree to which two variables move in relation to each other.\n",
        "*   In Finance , the correlation can measure the movement of a stock with that of a benchmark index , such as the SP500"
      ],
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        "!pip install yfinance"
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            "\u001b[31mERROR: Could not open requirements file: [Errno 2] No such file or directory: '/content/requirements_pip.txt'\u001b[0m\u001b[31m\n",
            "\u001b[0mLooking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: yfinance in /usr/local/lib/python3.10/dist-packages (0.2.18)\n",
            "Requirement already satisfied: pandas>=1.3.0 in /usr/local/lib/python3.10/dist-packages (from yfinance) (1.5.3)\n",
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            "Requirement already satisfied: frozendict>=2.3.4 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2.3.7)\n",
            "Requirement already satisfied: cryptography>=3.3.2 in /usr/local/lib/python3.10/dist-packages (from yfinance) (40.0.2)\n",
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            "Requirement already satisfied: webencodings in /usr/local/lib/python3.10/dist-packages (from html5lib>=1.1->yfinance) (0.5.1)\n",
            "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.3.0->yfinance) (2.8.2)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26->yfinance) (1.26.15)\n",
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      "source": [
        "import numpy as np\n",
        "import datetime as dt\n",
        "import pandas as pd\n",
        "import yfinance as yf\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "start= '2018-01-01'\n",
        "end=dt.datetime.now()\n",
        "#end= '2023-01-31'\n",
        "tickers=['BTC-USD', '^GSPC', 'CL=F','GC=F' ,\"^DJI\", \"^TNX\", \"^FVX\", \"^VIX\"]\n",
        "veri=(yf.download(tickers,start,end , interval='1wk')['Adj Close']).round(2)\n",
        "veri"
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        "id": "kZ7QHM4Iu813",
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            "[*********************100%***********************]  8 of 8 completed\n"
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              "             BTC-USD   CL=F    GC=F      ^DJI  ^FVX    ^GSPC  ^TNX   ^VIX\n",
              "Date                                                                     \n",
              "2018-01-01  16477.60  61.44  1320.3  25295.87  2.29  2743.15  2.48   9.22\n",
              "2018-01-08  13772.00  64.30  1333.4  25803.19  2.35  2786.24  2.55  10.16\n",
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              "2018-01-29   8277.01  65.45  1333.7  25520.96  2.60  2762.13  2.85  17.31\n",
              "...              ...    ...     ...       ...   ...      ...   ...    ...\n",
              "2023-05-15  26753.83  71.55  1978.7  33426.63  3.75  4191.98  3.69  16.81\n",
              "2023-05-22  28085.65  72.67  1944.1  33093.34  3.94  4205.45  3.81  17.95\n",
              "2023-05-29  27119.07  71.74  1952.4  33762.76  3.84  4282.37  3.69  14.60\n",
              "2023-06-05  25940.17  70.17  1962.2  33876.78  3.92  4298.86  3.74  13.83\n",
              "2023-06-12  25910.94  68.37  1963.2  33943.02  4.01  4365.49  3.80  14.30\n",
              "\n",
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        "veri=veri.rename(columns={\"BTC-USD\": \"Bitcoin\", \"CL=F\": \"OIL\", \"GC=F\": \"GOLD\", \"^DJI\": \"DOW\",\"^GSPC\": \"SP500\",\"^TNX\": \"TrY10Y\", \"^FVX\":\"TrY5Y\", \"^VIX\":\"Fear\"})\n",
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              "             Bitcoin    OIL    GOLD       DOW  TrY5Y    SP500  TrY10Y   Fear\n",
              "Date                                                                        \n",
              "2018-01-01  16477.60  61.44  1320.3  25295.87   2.29  2743.15    2.48   9.22\n",
              "2018-01-08  13772.00  64.30  1333.4  25803.19   2.35  2786.24    2.55  10.16\n",
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              "2018-01-29   8277.01  65.45  1333.7  25520.96   2.60  2762.13    2.85  17.31\n",
              "...              ...    ...     ...       ...    ...      ...     ...    ...\n",
              "2023-05-15  26753.83  71.55  1978.7  33426.63   3.75  4191.98    3.69  16.81\n",
              "2023-05-22  28085.65  72.67  1944.1  33093.34   3.94  4205.45    3.81  17.95\n",
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              "2023-06-05  25940.17  70.17  1962.2  33876.78   3.92  4298.86    3.74  13.83\n",
              "2023-06-12  25910.94  68.37  1963.2  33943.02   4.01  4365.49    3.80  14.30\n",
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              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Bitcoin</th>\n",
              "      <th>OIL</th>\n",
              "      <th>GOLD</th>\n",
              "      <th>DOW</th>\n",
              "      <th>TrY5Y</th>\n",
              "      <th>SP500</th>\n",
              "      <th>TrY10Y</th>\n",
              "      <th>Fear</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2018-01-01</th>\n",
              "      <td>16477.60</td>\n",
              "      <td>61.44</td>\n",
              "      <td>1320.3</td>\n",
              "      <td>25295.87</td>\n",
              "      <td>2.29</td>\n",
              "      <td>2743.15</td>\n",
              "      <td>2.48</td>\n",
              "      <td>9.22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-08</th>\n",
              "      <td>13772.00</td>\n",
              "      <td>64.30</td>\n",
              "      <td>1333.4</td>\n",
              "      <td>25803.19</td>\n",
              "      <td>2.35</td>\n",
              "      <td>2786.24</td>\n",
              "      <td>2.55</td>\n",
              "      <td>10.16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-15</th>\n",
              "      <td>11600.10</td>\n",
              "      <td>63.37</td>\n",
              "      <td>1331.9</td>\n",
              "      <td>26071.72</td>\n",
              "      <td>2.44</td>\n",
              "      <td>2810.30</td>\n",
              "      <td>2.64</td>\n",
              "      <td>11.27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-22</th>\n",
              "      <td>11786.30</td>\n",
              "      <td>66.14</td>\n",
              "      <td>1351.6</td>\n",
              "      <td>26616.71</td>\n",
              "      <td>2.47</td>\n",
              "      <td>2872.87</td>\n",
              "      <td>2.66</td>\n",
              "      <td>11.08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-29</th>\n",
              "      <td>8277.01</td>\n",
              "      <td>65.45</td>\n",
              "      <td>1333.7</td>\n",
              "      <td>25520.96</td>\n",
              "      <td>2.60</td>\n",
              "      <td>2762.13</td>\n",
              "      <td>2.85</td>\n",
              "      <td>17.31</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-15</th>\n",
              "      <td>26753.83</td>\n",
              "      <td>71.55</td>\n",
              "      <td>1978.7</td>\n",
              "      <td>33426.63</td>\n",
              "      <td>3.75</td>\n",
              "      <td>4191.98</td>\n",
              "      <td>3.69</td>\n",
              "      <td>16.81</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-22</th>\n",
              "      <td>28085.65</td>\n",
              "      <td>72.67</td>\n",
              "      <td>1944.1</td>\n",
              "      <td>33093.34</td>\n",
              "      <td>3.94</td>\n",
              "      <td>4205.45</td>\n",
              "      <td>3.81</td>\n",
              "      <td>17.95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-29</th>\n",
              "      <td>27119.07</td>\n",
              "      <td>71.74</td>\n",
              "      <td>1952.4</td>\n",
              "      <td>33762.76</td>\n",
              "      <td>3.84</td>\n",
              "      <td>4282.37</td>\n",
              "      <td>3.69</td>\n",
              "      <td>14.60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-06-05</th>\n",
              "      <td>25940.17</td>\n",
              "      <td>70.17</td>\n",
              "      <td>1962.2</td>\n",
              "      <td>33876.78</td>\n",
              "      <td>3.92</td>\n",
              "      <td>4298.86</td>\n",
              "      <td>3.74</td>\n",
              "      <td>13.83</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-06-12</th>\n",
              "      <td>25910.94</td>\n",
              "      <td>68.37</td>\n",
              "      <td>1963.2</td>\n",
              "      <td>33943.02</td>\n",
              "      <td>4.01</td>\n",
              "      <td>4365.49</td>\n",
              "      <td>3.80</td>\n",
              "      <td>14.30</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>285 rows × 8 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f0ee9537-439f-45e3-a681-876a7084413c')\"\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",
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              "      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",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-f0ee9537-439f-45e3-a681-876a7084413c 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-f0ee9537-439f-45e3-a681-876a7084413c');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "veri.plot.line()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "OC-wXV42dubP",
        "outputId": "a85496a4-7e6b-4454-ff8d-eec91ca45d0d"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Date'>"
            ]
          },
          "metadata": {},
          "execution_count": 5
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Default percentage of Change\n",
        "veri/veri.shift()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "sf_13pqsQftM",
        "outputId": "59a59026-293a-45f6-a76a-8e9b677d1c9b"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             Bitcoin       OIL      GOLD       DOW     TrY5Y     SP500  \\\n",
              "Date                                                                     \n",
              "2018-01-01       NaN       NaN       NaN       NaN       NaN       NaN   \n",
              "2018-01-08  0.835801  1.046549  1.009922  1.020055  1.026201  1.015708   \n",
              "2018-01-15  0.842296  0.985537  0.998875  1.010407  1.038298  1.008635   \n",
              "2018-01-22  1.016052  1.043712  1.014791  1.020903  1.012295  1.022265   \n",
              "2018-01-29  0.702257  0.989568  0.986756  0.958832  1.052632  0.961453   \n",
              "...              ...       ...       ...       ...       ...       ...   \n",
              "2023-05-15  0.993435  1.021559  0.982229  1.003784  1.086957  1.016464   \n",
              "2023-05-22  1.049781  1.015653  0.982514  0.990029  1.050667  1.003213   \n",
              "2023-05-29  0.965585  0.987202  1.004269  1.020228  0.974619  1.018291   \n",
              "2023-06-05  0.956529  0.978115  1.005019  1.003377  1.020833  1.003851   \n",
              "2023-06-12  0.998873  0.974348  1.000510  1.001955  1.022959  1.015499   \n",
              "\n",
              "              TrY10Y      Fear  \n",
              "Date                            \n",
              "2018-01-01       NaN       NaN  \n",
              "2018-01-08  1.028226  1.101952  \n",
              "2018-01-15  1.035294  1.109252  \n",
              "2018-01-22  1.007576  0.983141  \n",
              "2018-01-29  1.071429  1.562274  \n",
              "...              ...       ...  \n",
              "2023-05-15  1.066474  0.987082  \n",
              "2023-05-22  1.032520  1.067817  \n",
              "2023-05-29  0.968504  0.813370  \n",
              "2023-06-05  1.013550  0.947260  \n",
              "2023-06-12  1.016043  1.033984  \n",
              "\n",
              "[285 rows x 8 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-42fb0391-bc5b-4940-af0b-57fa38c72bda\">\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>Bitcoin</th>\n",
              "      <th>OIL</th>\n",
              "      <th>GOLD</th>\n",
              "      <th>DOW</th>\n",
              "      <th>TrY5Y</th>\n",
              "      <th>SP500</th>\n",
              "      <th>TrY10Y</th>\n",
              "      <th>Fear</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2018-01-01</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</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>0.835801</td>\n",
              "      <td>1.046549</td>\n",
              "      <td>1.009922</td>\n",
              "      <td>1.020055</td>\n",
              "      <td>1.026201</td>\n",
              "      <td>1.015708</td>\n",
              "      <td>1.028226</td>\n",
              "      <td>1.101952</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-15</th>\n",
              "      <td>0.842296</td>\n",
              "      <td>0.985537</td>\n",
              "      <td>0.998875</td>\n",
              "      <td>1.010407</td>\n",
              "      <td>1.038298</td>\n",
              "      <td>1.008635</td>\n",
              "      <td>1.035294</td>\n",
              "      <td>1.109252</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-22</th>\n",
              "      <td>1.016052</td>\n",
              "      <td>1.043712</td>\n",
              "      <td>1.014791</td>\n",
              "      <td>1.020903</td>\n",
              "      <td>1.012295</td>\n",
              "      <td>1.022265</td>\n",
              "      <td>1.007576</td>\n",
              "      <td>0.983141</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-29</th>\n",
              "      <td>0.702257</td>\n",
              "      <td>0.989568</td>\n",
              "      <td>0.986756</td>\n",
              "      <td>0.958832</td>\n",
              "      <td>1.052632</td>\n",
              "      <td>0.961453</td>\n",
              "      <td>1.071429</td>\n",
              "      <td>1.562274</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-15</th>\n",
              "      <td>0.993435</td>\n",
              "      <td>1.021559</td>\n",
              "      <td>0.982229</td>\n",
              "      <td>1.003784</td>\n",
              "      <td>1.086957</td>\n",
              "      <td>1.016464</td>\n",
              "      <td>1.066474</td>\n",
              "      <td>0.987082</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-22</th>\n",
              "      <td>1.049781</td>\n",
              "      <td>1.015653</td>\n",
              "      <td>0.982514</td>\n",
              "      <td>0.990029</td>\n",
              "      <td>1.050667</td>\n",
              "      <td>1.003213</td>\n",
              "      <td>1.032520</td>\n",
              "      <td>1.067817</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-29</th>\n",
              "      <td>0.965585</td>\n",
              "      <td>0.987202</td>\n",
              "      <td>1.004269</td>\n",
              "      <td>1.020228</td>\n",
              "      <td>0.974619</td>\n",
              "      <td>1.018291</td>\n",
              "      <td>0.968504</td>\n",
              "      <td>0.813370</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-06-05</th>\n",
              "      <td>0.956529</td>\n",
              "      <td>0.978115</td>\n",
              "      <td>1.005019</td>\n",
              "      <td>1.003377</td>\n",
              "      <td>1.020833</td>\n",
              "      <td>1.003851</td>\n",
              "      <td>1.013550</td>\n",
              "      <td>0.947260</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-06-12</th>\n",
              "      <td>0.998873</td>\n",
              "      <td>0.974348</td>\n",
              "      <td>1.000510</td>\n",
              "      <td>1.001955</td>\n",
              "      <td>1.022959</td>\n",
              "      <td>1.015499</td>\n",
              "      <td>1.016043</td>\n",
              "      <td>1.033984</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>285 rows × 8 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-42fb0391-bc5b-4940-af0b-57fa38c72bda')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "\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",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\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",
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              "\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-42fb0391-bc5b-4940-af0b-57fa38c72bda');\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",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Normalization"
      ],
      "metadata": {
        "id": "cyEhX1cMamqo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#@title ### apply the maximum absolute scaling in Pandas using the .abs() and .max() methods\n",
        "\n",
        "def maximum_absolute_scaling(veri):\n",
        "    # copy the dataframe\n",
        "    veri_scaled = veri.copy()\n",
        "    # apply maximum absolute scaling\n",
        "    for column in veri_scaled.columns:\n",
        "        veri_scaled = veri_scaled / veri_scaled.abs().max()\n",
        "    return veri_scaled\n",
        "\n",
        "# call the maximum_absolute_scaling function\n",
        "veri_scaled = maximum_absolute_scaling(veri)\n",
        "\n",
        "veri_scaled"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "N2RXXiQLYagg",
        "outputId": "4da01c25-990d-48f8-a095-e9fb437c7e6c"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             Bitcoin       OIL      GOLD       DOW     TrY5Y     SP500  \\\n",
              "Date                                                                     \n",
              "2018-01-01  0.251694  0.509157  0.654456  0.696121  0.526437  0.575545   \n",
              "2018-01-08  0.210366  0.532858  0.660950  0.710082  0.540230  0.584586   \n",
              "2018-01-15  0.177190  0.525151  0.660206  0.717472  0.560920  0.589634   \n",
              "2018-01-22  0.180035  0.548106  0.669971  0.732470  0.567816  0.602762   \n",
              "2018-01-29  0.126431  0.542388  0.661098  0.702316  0.597701  0.579527   \n",
              "...              ...       ...       ...       ...       ...       ...   \n",
              "2023-05-15  0.408662  0.592939  0.980817  0.919873  0.862069  0.879526   \n",
              "2023-05-22  0.429006  0.602221  0.963666  0.910701  0.905747  0.882352   \n",
              "2023-05-29  0.414241  0.594514  0.967780  0.929123  0.882759  0.898491   \n",
              "2023-06-05  0.396234  0.581503  0.972638  0.932261  0.901149  0.901951   \n",
              "2023-06-12  0.395787  0.566587  0.973134  0.934084  0.921839  0.915931   \n",
              "\n",
              "              TrY10Y      Fear  \n",
              "Date                            \n",
              "2018-01-01  0.589074  0.139612  \n",
              "2018-01-08  0.605701  0.153846  \n",
              "2018-01-15  0.627078  0.170654  \n",
              "2018-01-22  0.631829  0.167777  \n",
              "2018-01-29  0.676960  0.262114  \n",
              "...              ...       ...  \n",
              "2023-05-15  0.876485  0.254543  \n",
              "2023-05-22  0.904988  0.271805  \n",
              "2023-05-29  0.876485  0.221078  \n",
              "2023-06-05  0.888361  0.209419  \n",
              "2023-06-12  0.902613  0.216535  \n",
              "\n",
              "[285 rows x 8 columns]"
            ],
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              "\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Bitcoin</th>\n",
              "      <th>OIL</th>\n",
              "      <th>GOLD</th>\n",
              "      <th>DOW</th>\n",
              "      <th>TrY5Y</th>\n",
              "      <th>SP500</th>\n",
              "      <th>TrY10Y</th>\n",
              "      <th>Fear</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "      <th></th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2018-01-01</th>\n",
              "      <td>0.251694</td>\n",
              "      <td>0.509157</td>\n",
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              "      <td>0.696121</td>\n",
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              "    <tr>\n",
              "      <th>2018-01-08</th>\n",
              "      <td>0.210366</td>\n",
              "      <td>0.532858</td>\n",
              "      <td>0.660950</td>\n",
              "      <td>0.710082</td>\n",
              "      <td>0.540230</td>\n",
              "      <td>0.584586</td>\n",
              "      <td>0.605701</td>\n",
              "      <td>0.153846</td>\n",
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              "    <tr>\n",
              "      <th>2018-01-15</th>\n",
              "      <td>0.177190</td>\n",
              "      <td>0.525151</td>\n",
              "      <td>0.660206</td>\n",
              "      <td>0.717472</td>\n",
              "      <td>0.560920</td>\n",
              "      <td>0.589634</td>\n",
              "      <td>0.627078</td>\n",
              "      <td>0.170654</td>\n",
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              "    <tr>\n",
              "      <th>2018-01-22</th>\n",
              "      <td>0.180035</td>\n",
              "      <td>0.548106</td>\n",
              "      <td>0.669971</td>\n",
              "      <td>0.732470</td>\n",
              "      <td>0.567816</td>\n",
              "      <td>0.602762</td>\n",
              "      <td>0.631829</td>\n",
              "      <td>0.167777</td>\n",
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              "    <tr>\n",
              "      <th>2018-01-29</th>\n",
              "      <td>0.126431</td>\n",
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              "      <td>0.661098</td>\n",
              "      <td>0.702316</td>\n",
              "      <td>0.597701</td>\n",
              "      <td>0.579527</td>\n",
              "      <td>0.676960</td>\n",
              "      <td>0.262114</td>\n",
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              "    <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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-15</th>\n",
              "      <td>0.408662</td>\n",
              "      <td>0.592939</td>\n",
              "      <td>0.980817</td>\n",
              "      <td>0.919873</td>\n",
              "      <td>0.862069</td>\n",
              "      <td>0.879526</td>\n",
              "      <td>0.876485</td>\n",
              "      <td>0.254543</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-22</th>\n",
              "      <td>0.429006</td>\n",
              "      <td>0.602221</td>\n",
              "      <td>0.963666</td>\n",
              "      <td>0.910701</td>\n",
              "      <td>0.905747</td>\n",
              "      <td>0.882352</td>\n",
              "      <td>0.904988</td>\n",
              "      <td>0.271805</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-29</th>\n",
              "      <td>0.414241</td>\n",
              "      <td>0.594514</td>\n",
              "      <td>0.967780</td>\n",
              "      <td>0.929123</td>\n",
              "      <td>0.882759</td>\n",
              "      <td>0.898491</td>\n",
              "      <td>0.876485</td>\n",
              "      <td>0.221078</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-06-05</th>\n",
              "      <td>0.396234</td>\n",
              "      <td>0.581503</td>\n",
              "      <td>0.972638</td>\n",
              "      <td>0.932261</td>\n",
              "      <td>0.901149</td>\n",
              "      <td>0.901951</td>\n",
              "      <td>0.888361</td>\n",
              "      <td>0.209419</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-06-12</th>\n",
              "      <td>0.395787</td>\n",
              "      <td>0.566587</td>\n",
              "      <td>0.973134</td>\n",
              "      <td>0.934084</td>\n",
              "      <td>0.921839</td>\n",
              "      <td>0.915931</td>\n",
              "      <td>0.902613</td>\n",
              "      <td>0.216535</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>285 rows × 8 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2babc3a9-f9e7-4d7e-8319-7016d3bdbfac')\"\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",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      fill: #174EA6;\n",
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              "\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",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-2babc3a9-f9e7-4d7e-8319-7016d3bdbfac 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-2babc3a9-f9e7-4d7e-8319-7016d3bdbfac');\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",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "veri_scaled[[\"SP500\",\"TrY5Y\"]].plot(kind='line', figsize=(10, 5))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 482
        },
        "id": "PI7Hat40e_XW",
        "outputId": "43682cdd-7a37-4518-9e55-5afb02a9e19e"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Date'>"
            ]
          },
          "metadata": {},
          "execution_count": 21
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Standardization\n",
        "veri_standard = (veri - veri.mean()) / veri.std()\n",
        "veri_standard"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "SQ3FKySOaHrI",
        "outputId": "3e059461-a7ca-46d3-c269-a5bbb0587c3b"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             Bitcoin       OIL      GOLD       DOW     TrY5Y     SP500  \\\n",
              "Date                                                                     \n",
              "2018-01-01 -0.262258 -0.219863 -1.237448 -1.018207  0.262921 -1.143056   \n",
              "2018-01-08 -0.427436 -0.071844 -1.185850 -0.893363  0.313850 -1.078382   \n",
              "2018-01-15 -0.560031 -0.119976 -1.191758 -0.827282  0.390242 -1.042271   \n",
              "2018-01-22 -0.548664  0.023386 -1.114164 -0.693168  0.415707 -0.948361   \n",
              "2018-01-29 -0.762907 -0.012325 -1.184668 -0.962815  0.526051 -1.114569   \n",
              "...              ...       ...       ...       ...       ...       ...   \n",
              "2023-05-15  0.365109  0.303382  1.355843  0.982647  1.502179  1.031471   \n",
              "2023-05-22  0.446417  0.361348  1.219562  0.900629  1.663452  1.051688   \n",
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              "2023-06-05  0.315435  0.231960  1.290853  1.093422  1.646476  1.191885   \n",
              "2023-06-12  0.313651  0.138800  1.294792  1.109722  1.722868  1.291889   \n",
              "\n",
              "              TrY10Y      Fear  \n",
              "Date                            \n",
              "2018-01-01  0.293271 -1.462851  \n",
              "2018-01-08  0.365078 -1.343685  \n",
              "2018-01-15  0.457400 -1.202967  \n",
              "2018-01-22  0.477916 -1.227054  \n",
              "2018-01-29  0.672818 -0.437259  \n",
              "...              ...       ...  \n",
              "2023-05-15  1.534492 -0.500646  \n",
              "2023-05-22  1.657588 -0.356125  \n",
              "2023-05-29  1.534492 -0.780814  \n",
              "2023-06-05  1.585782 -0.878429  \n",
              "2023-06-12  1.647330 -0.818846  \n",
              "\n",
              "[285 rows x 8 columns]"
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              "      <th>2023-05-15</th>\n",
              "      <td>0.365109</td>\n",
              "      <td>0.303382</td>\n",
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          "metadata": {},
          "execution_count": 9
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "veri_standard[[\"SP500\",\"TrY5Y\"]].plot(kind='line', figsize=(10, 5))"
      ],
      "metadata": {
        "colab": {
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        "id": "N4gwqLdiet-V",
        "outputId": "d416b93a-f856-430a-8de3-bfd2fbd3b6f3"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Date'>"
            ]
          },
          "metadata": {},
          "execution_count": 19
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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qC4kLPPbYY/zxj38kPT2dyMhIoqKiWLZsGffddx+hoaEsW7aMlStXEhYW1uq6p59+mt/85jekpKRw44038vDDD+Pjo/5axMbG8uKLL3LDDTcwdepUHn74Yf785z+TnJzskjELIYQQg4nVqnHXf3dQVtvE+7tyee66aRwtrOHBN3dRWttExqla/nTttHbX6Yu2ahrszalg/qgYDuarwGhiUrj9vCnDwzEZDRRWNZBfUU+SLZMkvMzhz8DSCDFjWgcQ3dHXMvLWjJFeRhc7HvyCHMcHUcZIAqPmOvhdkmde+/H8jts39sJTTz3Feeed1+rYgw8+yEcffcSSJUv44Q9/yKJFrVdd/tGPfsSMGTOIiopi48aNLF26lIKCAnuGCODyyy/n2muv5YILLuCSSy7h+9//vkvGK4QQQgw2GadqKattAmDD8VLO+9M6qhqa0WzJo725HTdNyK9wrFO0Sw+M9IxRouMDzSA/H8YnhrI/r4qd2eUSGHkrexnd1T37ANzbM0b2Mro2c6b0wKiuFJrqWgdNA4yU0g0Ss2bNanfMYDDw85//HKvVyhNPPNHu+UceeYSFCxcyZcoU7r33Xp599ln++te/0tjY2Oq8X/ziF53eQwghhBDK7pwKAEbFhTAuIZTKehUUXTJVfQCbUVJDfVP7VtsFlfX2/V3ZFVitGofyHaV0LenldBuOl7rjWxB9VVMCGWvU/uSre3att3el66gjHajFaf1C1f4Ab8AgGSPfIJW58dRru0jLuUEt6WVx+rYrc+bMwWw2c/LkScaOHdurewghhBBD1e4c1RRh4ZhYfrJ4LC9vOElqdBAXTk5kc0YpJdWNHCqssgc3uoLKhhb3qCCnvI7qRjN+JiOj4kJanTt/ZDT/3ZTF/7Zm02S28uvLJhLiL/8/e42DH4JmUcFD9MieXatnjBoqwNwEPn6uHl3vaZojY9S2y57BoLJGJYfUPKOY0f0/PheRjJHBoMrZPPHlZQ0Mdu/ejdFoJC4uztNDEUIIIQYcPWM0LSWCAF8T9y0cyYWTEwGYaMv8HLBlgnSaptnnGAGcqmlk1cEiAMYkhOBrav1WbfHEBH509iiMBnhvZy4X/eU7SqpbV3oID2muh41/Ufs9abqgC4gAoy3IrfWyeUYlh6G+HEz+ED+p/fODZJ6RBEZD1KZNm3j++efZs2cPGRkZvP766zz88MPcfPPNREZGdn8DIYQQQtg1NFs4XKDWIZqWHNHueT0wOthmcday2iYazWpZjHEJqhzpjS3ZQOv5RTqDwcAj54/lzbvnkRAWQFZpHe/vHNhvRgeNjX+DimwITYKZvZiTbTQ6GjB42zyjY1+pbdqZHWeywm1rGVV6YSld7nanT5XAaIjy9/fnzTffZMGCBUycOJH/+7//4+GHH+bFF1/09NCEEEKIAWd/XiVmq0ZMiL993aGW9O5ybTNGehldTIg/s9OiANXEAToOjHSz06K4eIrKRpXaGj4ID6rMhfW25lXn/6b3zbVadqarPQUb/qwyNb21/z3I3dH763VHbYHR6MUdP+/NGaNN/3T6VClKHWBuvfVWbr31VvvjhQsXomlap+d39vyMGTPYvHmzU6+Zmpra5WsIIYQQQ51eRjc9JaLDtf70jNHhwmqaLVZ7iZxeRpcUEcD0lAj+uynLfs2EFq26OxIZrD65L5fAyPNWPak6HafMg0lX9f4+LTvTvXeHauRQUwyL/6/n98rbAe/eDhEj4KG9vR9TfQVkb1L7o8/r+BxvXcuouhCOf+306ZIxEkIIIYToo136/KIOyugAkiODCPX3ocls5URJjf24njFKDA9gWnLrUvbxiaFdvmZEkC8A5XXNvRy1cIm8HSozgwEu/H3f5pDrnel2/tfR3a4Hb+xb0a+vyILmhi5P7dKJb1RDiZgxEJXW8TnemjHa8z+gfSfIzkhgJIQQQgjRR7uzKwCY3klgZDQaGG/LGu3Pc5TT5VfqGaNAUqOD7MHOiOggQgN8u3zNqCBbxqhOMkYelWXLpoy9EBKn9u1ewTFqm7PFcazkMFT1ooPyyfWO/b600T62Sm1Hn9/5OS0DI2+pMtI0FWD2gARGQgghhBB9UFLdSF5FPQYDTB7eefmbozOdowGDvrhrUnggBoPBnnHqan6RLkICI+9QU6i2Uel9v1dIi87AoUkQN1Ht69kfZ1maIbvFlImK7N6Nx2qF404ERqFJgAEsjWpulDfI2gBlGeDr/HwvCYyEEEIIIfpAn180Oi6kyyxPRw0YCmxzjBIjAgC4eIpaDHbxxIRuXzcyWL1WhZTSeVa1LTAKie/7vYJbBEbnPQVjbM0OehoY5e9Sc550vZ37k79LtQ73C1Xzpzrj4+cI6vp7kdcNf4Y3b4Km2tbHd76qthMudfpWEhgJIYQQQvSBvrBrZ/OLdHrG6FB+FVarKjdyzDFSneyumjGMvb86n8umJXX7upG2jFFFXZP9fsID9MAoNLHv9xo2AwxGSF8Ik6+GkYvU8Yw1PStRO/ld68cVvQyMjn2ptiMXdb/gbFC02vali15PWa2w5vdw+FM48IHjeH2FWmwXYOoNTt9uSAZG0mGtf8nPWwghxGD23TFVOjRzRNfrAI6KC8HPx0h1o5mc8josVo3CKlspnS1jZDAYCAvw7bCzXVv6fCSrBtUN5r58C6Iv7IFR91m+bsWMhkcOw03vqiYOyXPANwhqiqD4oPP30ecXhdoC7N5mjE58q7ZdldHpAlW7eerLevdavVGeCc22TNG+dx3H974N5gaImwBJ052+3ZAKjHx91S+Qurq6bs4UrqT/vPWfvxBCCDFY5JTVsTe3EqMBzhnfdSmVr8nI2HjVaW5XdgUl1Y1YrBomo4G40IAev7a/j4kgPxMg84w8ypWBEUBoPJhs75l8/GHEfLWvByndaTm/aOp1atubjJGmQckRtT9sZvfnB0aobV0/BkaFLdqQZ66F6iKVRdqyXB2beVuPugQOqXWMTCYTERERFBer1YSDgoKc+kRG9I6madTV1VFcXExERAQmk8nTQxJCCCFcauV+9aZ4dloUMSH+3Z5/5ugY9uVV8tm+ApKjggBICAvAZOzd+5HIID/qmuopr2silV4uKip6r7EGmqrVvqsCo7bSF6mW3RnfwvwHuj9fn18UGKUyPeufg8peNF+oL4dGW6OQyNTuzw/SM0YVPX+t3irc79jXrKqcLjIVyk6AfzhMuxEarU7fbkgFRgAJCeovrR4cCfeLiIiw/9yFEEKIweTz/QUALJns3PySy6YN4x9rTrDmSDELx8YCag2j3ooM9iWvol4yRp5SU6S2fiHg3/W6U72mzzM6uQHMjSqL1BV9flHq6RCRovar8sFqAWMPPqQuy1Db0CTwC+r+fE+U0hXZAqOYMXDqKOx/V5UeAsy8BfxDoLGq8+vbGHKBkcFgIDExkbi4OJqbpYuLu/n6+kqmSAghxKCUX1HPruwKDAbnusgBjE0IZVxCKIcLq3lpfSYAiRGBvR6D3oChvFbe03iEKzvSdSZugupWV1usFpPVS+s6o88vSj1TNYQw+oDVrMYaPsz519UDI2fbkAfa5tj1aymdLTBa9HN49zbI3aYeG4ww++4e327IBUY6k8kkb9iFEEII0Wt6Gd2sEZHEhzmf9bls2jAOrzzMiRI1aTypDxkjWcvIw6pVxtAlHek6YzCobnVHV0LRga4DI02D3O1qf8R8lSEKS1LrGFXm9DIwSnPufHspXT91pasrg6pctT/ybEg7y9HWfPwljmxZDwyp5gtCCCGEEK6iB0YXTOrZm+JLprY+v0+ldEGylpFH2RsvuDFjBCprBCow6kptia10zADRo9WxcFuA0NMGDD0NjPq7lE7/WUSMgIAwmHyN47m59/fqlkM2YySEEEII0VvFVQ1sy1JvAC+Y1LN5tMMjg5idGsXWk+r6pD6U0vVnxuhYUTUHC6o4eaqO2iYz9y0YSWRwN2vbDHY1LlzDqCvxE9W2u5bdpSfUNiIZfAMc+1n0vAGDt5fSFe5T24TJajvhMtjyghpv8uxe3VICIyGEEEIMGaU1jUQF+/W5K+3Xh4rRNJiaHMGwXgQ2l05Lcklg1F8Zoy0ZpVz34uZWx6xWjScunuDW1/V6rm7V3Rk9Y1R8SJXLdfb3t/S42kaNdBwLT1bbHmeMMm33cjIwCurvjJFtflH8JLX1D4V7v+v8fCdIKZ0QQgghhoR/rctg5m+/5sV1GX2+13fHSgA4e2xcr65fMjkRPx8jfiYjyZFOdPzqRJQtY1NW696M0deHVPe1lKggFtm66X26twCrdYgv4m5vvuDmwCh6lGqi0FgFlbmdn1d2wnG+LsIWGPVkkdeGSqhTCxcT2dNSugq1lpC72TNGk1x2S7cGRuvWreOSSy4hKSkJg8HAhx9+2OX5a9aswWAwtPsqLCx05zCFEEIIMchtzihl2ReHAPWGvi8sVo2NJ0oBOGN0TK/uERXsx//umsOK208jPKj3C6D3VyndlkyVBXjkvDEs/95MQgN8KKxqYHtWP02091b9lTHy8VMtqaHrcjq9lC66jxkjPVsUHKvm7zhDL6VDg4YK51+rNyzNUHJY7euldC7g1sCotraWqVOn8ve//71H1x05coSCggL7V1xc7z6NEUIIIYQoqW7kh//bhZ7c2J9fSWUfSs/25VVSWd9MaIAPU4eH9/o+M0dEMX9k7wIrXX+U0lU1NLM/Ty30OSc9Cn8fk709+Sd78t32ugNCdT/NMQLnGjDogVHLUjq9O1tljirDc0ZP5xeBCt78QtS+uzvTnToGlibwD1PNF1zErYHRhRdeyG9/+1uuuOKKHl0XFxdHQkKC/ctolIo/IYQQQvSc1arx4Ju7KKluZEx8CKnRQWgabM4s7fU919vK6OalR+Nj8ux7lMh+yBjtOFmOVYMR0UEkhqv5UJdOTQLg830FmC39UDbljRproKla7bu7Kx1AvD7PyJYxqsyDV6+EQ5+ox1arI6BpmTEKs7Xobq5zvjFCbwIjaFFO5+bAyD6/aGLn8616wSsjjmnTppGYmMh5553Hhg0bujy3sbGRqqqqVl9CCCGEEAAbT5Sy8UQpQX4m/nHTDM4crebHbDrR+8Dou2Nq7sWZvSyjc6UIW8ao0WylvsnS6jlN09h44hR1TeY+vYYeRM5Ji7Ifmz8ymqhgP0prm9iU0fuf5YBWo+Zd4ReiJv67W5ytM12RLTDa8Gc4sRrWPK0eVxeAuV7NRWqZRfENcCxA62xnOr2Uztn5RbrACLV1d2c6fX5RvOvmF4GXBUaJiYksX76c9957j/fee4/k5GQWLlzIzp07O71m2bJlhIeH27+Sk5P7ccRCCCGE8GarD6s3rxdPSWRUXCjzR0YDsPHEqV7dr7bRzM5s9Wn4GbYgy5NC/H3wMapPzNtmjd7clsON/9rC77843KfX2Jyh3uTOSYu2H/MxGVkyeYiX09kbL/RDtggcGaNTR6GxGva+pR4X7VeBiN6RLmIEmNo0nu7pPKPeZoz6qzOdPj593pWLeFVgNHbsWO655x5mzpzJ/Pnzeemll5g/fz7PPfdcp9csXbqUyspK+1dOTg9bEQohhBBi0Pr2cDEAZ49T85Xnpqs390eLaiipbuzx/bZmltFs0RgWEUhqdO+7ybmKwWCwryXUNjD6fJ9qMvHNkeJe37+m0dxqflFLl0xR5XQr9xfSaLa0u3bQq7Y18eiP+UWgghu/ULA2w/rnWzc4yNrQcUc6XU8703l7KZ3emS/CtQkRrwqMOjJ79myOHz/e6fP+/v6EhYW1+hJCCCGEyDxVy8nSOnxNBnt2JzLYjwmJ6r1Cb0rAWpbR9XUtJFfRGzCU1zoaMNQ1mdliy/TklNVTUFnfq3tvP1mGxaoxPDKQ4W3aip+WGkVcqD9VDWZ2ZVf0bvADWX91pNMZDBA3Xu1v+pva+tr+TE6u77gjnc6eMXKilK6p1rFwbVRPS+n6aZFXPTAKH+7S23p9YLR7924SE/spEhdCCCHEoPGNLVs0Oy2KEH9HaZFeTrepF+V064+rxgu9bdPtDh217N54vJSmFk0Rtmb27o2q3qZbz7S1ZDQamDlCvRHem1vRq/sPaDX9HBiBo5zO3AAYYOFS9bi7wEjvaJexpvvOdOUn1TYgwlEa56z+KKVrrnessTSQAqOamhp2797N7t27AcjMzGT37t1kZ6todenSpdxyyy32859//nk++ugjjh8/zv79+3nooYf45ptvuP/++905TCGEEEIMAh/syuXSv623l37pZXSL2izCOn+UPs+oZxmj4uoGjhbVYDDQ5zbbruRo2e0IjL61lc+ZbPOPeh0YZbRvvNDSlOERAOzJrezV/Qe0/s4YgaMBA8DIRTD1BrVftB/yd6n9qA4Co7EXgslPrf3TVbtv6H0ZHfRPKV2VbU6bX4gK3lzIrYHR9u3bmT59OtOnTwfgkUceYfr06Tz55JMAFBQU2IMkgKamJn784x8zefJkFixYwJ49e/j6668555xz3DlMIYQQQgxwueV1PP7+fvbmVnLvazvIr6hni62b2qJxrQOj01KjMBkNZJXWkVte1+q5qoZmrNaOP1HXS9PGJ4QRZZvX4w0cLbtVKZ2maaw5ojJb185Sn6j3JjBqaLaw1xbwdJQxAphiW8dpSGaM+nMNI52eMQKYcQuExELsOPVYz2B1lDEKjIDR56v9/e92/RqnjqltrwKjPpbSObPOkj5PKny4S1t1g5sDo4ULF6JpWruvFStWALBixQrWrFljP//RRx/l+PHj1NfXU1payrfffsuiRYvcOUQhhBBCDHCapvHkRweob1YNAHLL67n2hU00WzRGRAeRHhPc6vzQAF+mJUcA8OxXR9Fsb8a+PFDIrN98zU/e3dPh62zWsyfpPSwvcrO2pXTHimvIq6jH38fID88ebT9WWtOzZhMl1Y2YrRr+PkaGRwZ2eM6kYSowyimrp6zWfWspeaX+7koHkDBFZWUiRsDYJepY6hmO503+ENZJednkq9V233tqzaOO1JbCluVqP3Fqz8fXl1K63W/A75Jg/3tdn+em+UUwAOYYCSGEEEJ05Yv9hXxzuBhfk4HnrpuKn8lIbrlqNrBobFyHTRJ+dsE4TEYDH+zK47XNWezIKudH/9tFk8XK6kPF9mCpJX2+Tcu21d7AUUqnMkZ6CeG8kdEkRQQyJj4EgG0ne1bepAdaUcF+nTaaCA/0tQeeQy5r5ImMUUAY3L8F7l4DPv7qWMvAKCodjJ28vR9zgSo/q8yG3K3tn9c0+ORHan2mmLEw+66ej6+3pXSnjsGnj6hFaLe91PW5emCkL1zrQhIYCSGEEGLAqmpo5lcfqzkT9y0cxRXTh/PExePtz5/dpoxONzstiscuUCVIT316kNtXbKPRrD5Fr6xvJqesdRe3UzWNHC+uATqfb+Mpbdt16/OLFo5Rnfhm28bb03I6PQOkZ6Q64yinG0LzjBproKla7Yf2Y8YIICSudVOEES0Co47K6HS+gTDuYrW/r4Nyut2vw+FPwegLV76ozu8peyldDwIjSzO8d6danBYgexM0dPF3yV5K5/q1SyUwEkIIIcSA9eLaDIqrG0mPCeYHC9Wbwu/NHcF9C0dyxfRhzBvZeXbnzjPTuGBiAs0Wjcr6ZqYMD2dsfCgAe/MqWp2rzy8alxBqD0S8hX2OUW0TlXXNbLdlhhbamk7MtmW4tp7sWbMJPQMVFezb5Xl6A4YhlTGqyFJb/zDwD/XsWFrOM+oqMAKYfI3aHvhABSS6skz44mdqf9HjkDStd2PRA7amajC3Ka3UNKivaH/NmqehYLdqpBCeApoFTnzT+WtIKZ0QQgghRGtVDc28sukkAI9eMJYAXxOgFj392QXjeO66afiaOn+rYzAY+MM1UzgtNZKpw8P5z/dPY1aq+sR7X17rT6z1Rg7eli2CFusY1TXz12+OYbZqjEsIJdVW4jY7VY35YH4V1Q3Nnd6nLWczRlOTVcZoT25lhyWIg1LBXrVNmOzZcej07nSjzuv6vPQFEBSj2l3vfkMds5jhg3ugqQZS5sPpD/Z+HAHhgK3ssm053VdPwDNpkLPNcaz0BKz/k9q/5HmYcKnaP/pV568hgZEQQgghhjqrVaO20Wx//OqmLKobzIyOC+H8Cb1rmRwa4Mvb98zjw/tPJzbUn8m2ZgL72pSF6RmjzrqzeZIeuBRWNrBi40kAHrtwnP35hPAARkQHYdWwZ5Ocobf/juomMJqQGI7JaKCkupHCqoYejn6AKrA16OhNgwJ3OP1BeLwA0s7s+jyTL8y5V+1/9mPIWAsbnoOcLeAXClcsB6Op9+MwmmzBEe0Do2OrQLNC1nrHsbwd6tjw02DiFY7OecdXddwgQtMkMBJCCCGEuOe1Hcz4zSre35lLfZOFl9ZnAvCDRSMxGnvfttdgMNibC0y2zZfZl+fIfpTVNnGkSM0nme3FGaMmixWzVeOccXH2MjrdPFtA990x5xe1LbMFRt2VDgb6mRhjK0HckzNE5hnpgVHCFM+OQ2cwgF+Qc+ee+WMVhFib4a2bVSkbwJI/QOSIvo+lo8505kYoPa729XWSQJXwAcSOVduUeSpAqy2Bgl3t711X6ljcNiyp72NtQwIjIYQQQni9uiYz3x4uptFs5ZG393DTvzdTWttESlQQl0xx3RukMfGh+PkYqW4wk1Wq1jjaaiujGxMfQnSIv8tey1XCAx1zgPxMRn5x8YR25ywcqxoxrDla7PR9y2tV2Z0eeHVl6lBaz8hqhUJbKZ23ZIx6wmiEy5erIKSxCqxmmHAZTL3eNffXO9O1XMuo5IiaOwSOYAjaLybr46cWroWOy+n0bFFIvKMrnwtJYCSEEEIIr7c7pwKzVcPPNmdoZ3YFAPcuGIlPF/OIesrXZGR8YhjgmGe0OcM723TrfExGe3B0x5lp9rlFLc0fFYOP0UBGSS05ZXXtnu9Iy3bd3XE0YBgCGaOyDDUfxycAYsZ4ejS94xsA178Bw2dD/GS4+HnXLZaqd6ZrWUpXfNCx31VgBI5yumNftr+3vYzO9a26QQIjIYQQQgwA+tyYCyYl8Kdr1VpF6bHBXDXT9W+QJg9zBEZNZiurDxcB3rewa0s/WDiSCyclcP+iUR0+Hxbgy4wR6g3rmiOOrNGmE6XkV9R3eI2zzRfA0bK7ZQnioFWwW23jJ4HJx6ND6ZOgKLjjK7hnXev23664L7QupSs64NivyoVm29+5rgKj/F1QXdT63m6cXwQSGAkhhBBiANh2Ur3JOi01kitnDGf7L87lo/tPx9+nDxPFOzFlWASgGjC8svEkOWX1xIT4tZu3403uWTCSf948kxD/zt+o6+V0a4+WAPDFvgJu+Ndmbl+xrcNgxt6u24nAaFRcCEaDWgOqpKaxN9/CwOFtjRf6wmDofEHY3uqolK74UOtzyrOgoUp1xwOITHM8FxoPidPU/vGvW1/nxjWMQAIjIYQQQngZTdM4XFhFXZPqQGe2WNmZpTJGs2ytp8MCfAkN6H7uS29MbjFf5i+rjwHw6OJxXQYdA8EC24KvG0+UUtNoZtkXhwE4XFjNgfyqVudqmtai+UL3P+cAXxMjolUJ3/GiGlcO2/sM5PlF/aGrUjqj7e9SWQaU20rqgmMhIKz1PTorp+tFxqgnGUwJjIQQQgjhNcwWK098uJ8Lnv/Onsk4XFhNbZOF0AAfe/czdxodF4K/j5HaJgvVjWYmDwvn6pnuKd3pTxMSw4gL9aeuycJDb+4mu8Vco49257U6t67JQpNZtUuOdCJjBCprBHCseBAHRprWImPkJR3pvE3bUrr6cqiy/f1KO0ttyzIcZXQts0W6MYvV9sS3rRei7UVgtHxNRvcn2UhgJIQQQgivUNto5q7/buf1LdmAanqwNbOM7bYyupkjIjH1oS23s3xMRiYkOT7B/uUlE/rUDtxbGAwGe9bo60Nq7sa54+MB+HhPPhar45N1vfGCn4+RID/nyhVH2wOjapeN2etU5qg3+kYfiGvf/U/gyBjV2TJGehldeDIkTVP7LQOjlvOLdEkz1EK0jVWQvdlxvBeB0eojRd2fZCOBkRBCCCE8zmrV+P5LW/n2SAkBvkZm2RoFLF97gm22MrrTUvuv+YH++pdMTbKX7w0GC2zzjEC1H//rDdMJC/ChqKqRLRml9udatuo2ONmtbHS8LTAazKV0erYobrxb2kUPCm1L6fTGC3ETHEFQd4GR0QijzlX7ejmduRFqCtW+k3OMCisbOFzgfKAugZEQQgghPO5gQRXbs8oJ8DXyv7vm8sdrpmI0wLdHSlhzWHVRm2kLVvrDA4tG8/SVk3n6ysn99pr94cxRsfjYsl9Ll4wn0M/ERVMSAfiwRTmdnjFytowOYHScKnM8PphL6QZT4wV3CbK1tde7z+nzi+LbBka2OUYdBUYAY2zzjPT1jKry1dYnwPEa3fjmsPPrdoEERkIIIYTwAuuOqU5pZ4yKYXpKJKkxwVw4Wb1hr22y4GsyMNW2Vk5/CA/y5frZKQQP8IYLbYUH+fLXG6bzuysms9BWVnfZNNXy/It9hTQ0q0U4e7KGkW5kbAgGA5TWNlE6WDvT2QOjaR4dhleLGw9hw6ChEjb+1VFKFzfREQRV5qhFX6HzwGjk2WAwwakjUH5SfYG6t5NZzG8OO19GBxIYCSGEEMILrLO1kD5rjKPU674FI+37k4aFE+jkXBfRtQsnJ3LjnBR7idzs1CiSwgOobjTzre0Tdn0No55kjAL9TAyPDAQGadZI0yBvp9qXjFHnfPzhvKfU/nd/ggJbF7/4CRASD75BoFkdrbqjOmi+AKokL3mO2t/wF/jofrUfN96pYTQ0W1h//FSPhi6BkRBCCCE8qrbRzA7bPKKzRjsCo0nDwjlzdAwAs9MGzzwfb2M0Glhiy859Z3sjWW5bw8iZVt0t6eV0g7IzXekJ9Wbe5C+BUXcmXQUp88FcD821qllF9GiV6WmZIQqI6HpxWb2cbvt/VGe7mDGw+HdODWHTiVIamq0khDk/F0wCIyGEEEJ41OaMUpotGilRQaTGBLd67pmrp/DDs0e1yh4J15s4THXh0zM95b3IGIGjM92gzBhlb1LbYTOk8UJ3DAa48GnAVvIWPRp8bH+XIlMd53VWRqcbvdixn3YW3PEVRI5wagirbWV0LRuOdEcCIyGEEEJ4lF5Gp2eHWkoMD+TH548loodv0EXPjIpVmZ4TemDUi+YL0HIto0HYsjvH1jY6Za5nxzFQJE6Fmbeq/aTpjuMtg6HOyuh0cePhrEfhzB/DTe85Ot51Q9M0vjmkykIXjIlzesiDa0ahEEIIIQacdcdU+VbL+UWif6XHqkxdaW0T5bVNvWq+ADDatgDvoGzZra+nkzLPs+MYSC5YBgmTYewSx7FWgVE3GSODAc7+eY9f9kB+FfmVDQT4GntUhisZIyGEEEJ4TE5ZHZmnavExGpg/0rkWvML1gv19SAoPAOBESQ1ltnWMIoJ6NsdIzxgVVzdSaZunNCjUlEDpcbWfPNuzYxlIfAPhtDsgLNFxrCeBUS8cKqjinld3AHDm6FgCfJ1v2iKBkRBCCCE8Zq2tjG5GSiShAT17Ey5ca2SL+UEVvcwYhbQIsI6XDKJyOr2MLna80+VcohNuDIxWHSziqn9uJK+inrSYYH5x0YQeXS+BkRBCCCE8Zr29jK79/CLRv0bGqsBIZYx6N8cIYJQ7y+ksrs9CLV97gkV/XEN2aV3nJ2XL/CKXCRsGgVFg8lNd5lwkv6KeH7y+g7omC6ePiuaDH8wnJTqoR/eQwEgIIYQQHrMvrxKA2WlSRudpehncvrxKGs1WACJ7mDECR2c6l7fs3vZv+E0MHP3Kpbd9e3sOmadqeWlDZucnyfwi1zEa4fufwPc/7bpVdw99d6yEZovGpGFhrLhtdq8atkhgJIQQQgiPqG5oJq+iHoCxtiyD8Bw9MNqdUwGAn8lIcC8W1W2ZeXIZq0UtFgpw4AOX3dZssdozRR/uzqPRbGl/UlMdFOxW+5Ixco2ESZAyx6W33HiiFICzx8bha+pdiCOBkRBCCCE84miRmoOSEBZAeA8n+QvX0wOahmaVLYoI8sVgMPT4Pqkxqnypy9K0njrxjVrgEyB/p8tum1tej9mqAVBR18zXB4vbn5S3A6xmCE2EiBSXvbZwHU3T2GQLjOaN7H1ZrgRGQgghhHA7q1Xjg125HMyvsh87UqgyCmMTJFvkDWJC/AgPdASoPW28oEuNVq2/s8vqMFusLhkbO19x7JccgUbXNHbILK1t9fjt7TntT2o5v6gXgaJwvxMltRRXN+LvY2R6SkSv7yOBkRBCCCHcqqHZwv1v7OTht/Zw3+s77Mf1jJEERt7BYDDYy+mg5626dQlhAfj7GDFbNfIrGvo+sJoSOPKF2vcNBjQo2Nv3+wKZJSowmpAYBsC6YyXk28o77Y59qbapZ7jkNYXrbTqhmrjMSo3sUXvutiQwEkIIIUSPZJTUsM7WZrs7FXVNfO8/W/hifyEAWaV15JarEqvDhSp7NEbmF3mNkbaFXqH3GSOj0cAIWzewk20yMr2y53+qlG3YLBi5SB1zUTmdPr4FY2OZkxaFpsH7O3MdJ1TlQ+42tT/2Ipe8pnA9fX7R/D6U0YEERkIIIYToAbPFys3/3sItL21lR1Z5l+fWNZm5/sXNbDtZTmiAD8MiAgHYmlmGpmkcKVQZo3GSMfIarTNGvQuMAEbYyumy+hoYaRrselXtz/geDJuh9vNcExhlnlLjS4sO5tpZyQC8vT0XTVPzjjj8mdoOn916kVLhNaxWjU0ZKjCam9637pYSGAkhhBDCaWuPlpBfqcqjPt6d1+l5mqbx8w/2c7iwmpgQf969dz4XT1FvLLdklHGqponyumaMhtZvxoVntfyziOpDYJRqyxhlnupjA4a8HXDqqCqhm3QVJE1Xx/N39e2+Nhm2Urq02GAunJyAwaDmRpXUNKoTDn2ituMvdsnrCdc7VFhFRV0zwX4mpgwP79O9JDASQgghhNNaTk7/fH8hFltHr7Ze35LNB7vyMBkN/P3G6YxNCGVOulqzZOvJMnu2KDU6uE9zAoRr6Z3poHdrGOlcljEq3Ke2qWeAf6gjMCrPhLqyPt26odlCfqWaT5QaHUyQnw/xoQEAFFQ0qPufXK9OHieBkbfSu9HNTovqdZtunQRGQgghhHBKSXUjqw+pdsYBvkZKqhvZmtn+zene3Aqe+uQgAI8uHsscW3nLzBFRGAyqfOm742qOkswv8i7DI4Pw81FvDyP70EI9LUYFRn2eY1Rpm+8TocrcCIyEqHS138esUXZZHZoGof4+xISoIDAxwhYYVdbD0ZWgWSBuIkSP7NNrCfcwW6z230l9nV8EEhgJIYQQwkkf7srDbNWYlhzBpVOTAPhsX36783776SGaLFbOnxDP3Wel24+HB/rau3+9vU1lnsbI/CKvYjIa7HO+EsIDen0fvflCTll9p1lFp+iBUfhwx7Ek2zyjPjZgsM8vig22r9eUZJsHl1fRAIc+VSeOv6RPryPc40RJDVcv38SmjFIMBtVAo6/cGhitW7eOSy65hKSkJAwGAx9++GG316xZs4YZM2bg7+/PqFGjWLFihTuHKIQQQggnaJrGW7YyumtnJXPRFBUYrdxf2GqtmsOFVWw9WYbJaOA3l09qt0Do7DRVTlde1wxI4wVv9PSVU/jNZROZm9b7ieyJ4YH4mYw0Wazt21/3hL6oa3iy45h9ntHu3t8XR2Ckr7sE2BuElJSWwYnV6qDML/I6646WsOTP37E7p4LQAB+ev26aS7LPPi4YW6dqa2uZOnUqt99+O1deeWW352dmZnLRRRdx77338vrrr7N69WruvPNOEhMTWbx4sTuHKoQQQgjAYtW467/bySqtZf7IGE4fFU1ogC8ZJTUcL64hwNfIJVMTCfA1ERHky6maJrZmljF/lCpjeX1zNgDnT4gnPqx9xmFOWjQvbzhpfyyldN5nQlIYE5LC+nQPk9FAclQgJ0pqySqtIzkqqHc3qrTNaWuZMXJRZ7qTesYoxhEYJdqyZEl5X4C5ASJTIX5Sn15HuN4/15yg0Wxl/shonr12KonhgS65r1sDowsvvJALL7zQ6fOXL19OWloazz77LADjx49n/fr1PPfccxIYCSGEEP1g04lSvjmsavZPlNTy6uasVs8vmZxIaICae3LBxATe3JbDp/sKmD8qhtpGMx/sUp/w3zx3RIf31zNGAH4+Rnv3MjH4pMUEc6KklpOltZwxuhfzP6xWqNQzRi0Co4QpYDBCdT5UF0JoQq/Gl9FBYJQUEYgJC+edek0dmHkbtMl6Cs+qamhm20k1t3HZlZNdFhSBl80x2rRpE+eee26rY4sXL2bTpk2dXtPY2EhVVVWrLyGEEEL0zke2FtwLxsTy/XkjGJcQytj4UGakRHD+hHgePGe0/dyLbeV07+/MZc2RYj7cnUdNo5n0mGDmj+y4DCsq2I8x8arz2ajYEHz62EVKeK8+d6arLQZrMxhMENIi+PEPgShbM4SSw70eX2YHgdGwiEAuN24g0VoAQdEw+65e31/03id78vnpO3uoamhu99z6Y6cwWzXSY4Ptf8dcxa0Zo54qLCwkPj6+1bH4+Hiqqqqor68nMLB9RLhs2TJ+/etf99cQhRBCiEGr0Wxh5YFCAO5bOLLbxRLnjYxm0dhYvj1Swp2vbLe3d75xTkq7uUUtzU6L4mhRDWNlftGg1tO1jMwWK9UNZkebcL3xQlgSmNq8ZY1IgdJjUOFoH4+lGXasUK21u1mMtabRTEm1WqsotWXGKMyXH/p8oMYz74f4+Ln2jbfoXmFlAz99dw8NzVYC/Uw8dVnrUkY9o71obJzLX3vAf0yzdOlSKisr7V85OTndXySEEEKIdtYcKaG6wUxCWACzU6O6Pd9kNPDC92Zx+bQkzFaNkupG/H2MXD1zeJfX3bdwFJdNS+K+hdICeTDracZo6fv7mLNsNXtyKtSBjuYX6fT23ZUt3vfteRM+/wl8cHe3r6XPL4oO9iM80NGWPPL4B6QaiyjVQikY/T2nxi1c67lVR2loVg1dXtucxYH8SvtzVqvGmiOq1f/Z4wZ5YJSQkEBRUVGrY0VFRYSFhXWYLQLw9/cnLCys1ZcQQggheu7j3ar19iVTEzEanZtX4edj5E/XTuPOM9IAuO60ZCKCul4YdFhEIH++fro0Xhjk9BK1rLI6rE607N6ZXU6T2crLGzLVAXvGaFj7k/UudS0zRsWH1DZzHZRldPlaHZXRYbVi+O6PALxgvpjcWplb1N+OFFbzzg71ZzpleDhWDZ786ACapv7+7M+v5FRNI8F+Jk5z4sObnvKqwGjevHmsXr261bFVq1Yxb948D41ICCGEGBpqGs18fUh9OHnZtA7eiHbBaDTwxMUTWP+zRTx58QR3DE8MQInhAfiaDDSZrRRWNXR7vt7C/fP9hZTXNnW8hpEuIkVtW2aMyk869ne91unrHC2q5vmvjwKQHtsiMCo5BGUZNBj8edVyXt/ajA9gmqapBW77ybaTZWw7WUZdk5llXxzCqsGFkxJ44XszCfIzsSOrnPd3qrmPehndGaNj7AsRu5JbA6Oamhp2797N7t27AdWOe/fu3WRnq1aeS5cu5ZZbbrGff++995KRkcGjjz7K4cOH+cc//sHbb7/Nww8/7M5hCiGEEEPeqoOFNJqtpMcEM7GXrZqHRwZJMwVh52Mykhyp5hnt1svjOmG1alTUNQHQZLby/q68rgMje8Yo23GsPNOxv+t1sJjbXfbejlwu/dt6TpTUEhfq32oBYk6uByAraAr1BPRrcOBNXtuSzbxl3zgyd260cn8B1yzfxDXLNzHpl1+y5kgJPkYDj14wjsTwQH54tmr28suPD/DqppP2wMgdZXTg5sBo+/btTJ8+nenT1UJcjzzyCNOnT+fJJ58EoKCgwB4kAaSlpfHZZ5+xatUqpk6dyrPPPsu///1vadU9WGma+hJCCOFxn+4pAOCSqUldNk4QoidGxqkOhD94fSc3/XszG46f6vC8qoZmWlbb/W9rNpo9MEpuf4E+x6gqD6wW9X5CzxiZ/KCmEI5/3eqSzFO1/MQ2qf/M0TF8/uCZjIprUc558jsASmJOAyCvovss12D0rm0h53+uOUFzi8WbXa220cyvPzkIQKi/j/3P//vzU+0ljneckcbs1ChqGs384qMD7M1V840WuqHxAri5K93ChQvtNYEdWbFiRYfX7Nq1y42jEl6hIhteWADjLoLL/ubp0QghxJCmaRq7bJ/oL3LTJ7FiaHp8yXh8jAa+PFDIhuOlbDpRyubHzyEutPXiv2W1KlsU4GvEgIHjxTWYI3LwhY4zRiEJqo231azWMjL5QnOdWt9o5q2w9UXY+V8Ye4H9ksMFVWgaTEwK45XbZreeR2e1wskNADQOmw9HGJKldMVVDeyxBR/F1Y18sb+QS6cmueW1/vLNMQoqG0iOCmTVwwuorG8mu6yO6ckR9nP8fIz87+65vL4liz+sPEJ1o5nJw8I7XDzaFSTfLTxj37tQXwa7XoVTxx3Hiw+p9LdkkoQQot+UVDdSVtuE0QDjpIW2cKG0mGD+efNM1j26iJSoIKwa7MmpbHdeua2MLjbUn0unJuFPE74NperJjgIjk4+jKUNlDpTZyr7ChsOsO9T+0ZUqaLLJswU66bEh7ZuLlBxS70t8gwgYMQtgSJbS6aVquhUuLKcrqmrg7W057MgqY19uJf/5Tt37V5dMJMDXRHxYAKelRrUrxzUZDdwyL5XVP17Azy4Yx7PXTnXZmNryqnWMxBBy7CvH/pblcNEfoaEKXrlULegWEg+jbYv91pfDp49Ane0XZEAYLF7mSKMLIYTok0OF1YB6Exvga/LwaMRgNDwyiB+Gf0dOZRb7ckdx3oTW61aW16rGC1FBftwwJ4WtO7YCoPmFYggI7/imEclQma0602m2kq/IERA3DobPhtytcPhTOO1OAPJtpXFJER1kG2zzi0iZS0KU+nAgr7weTdOGVGnp14dUYHTLvBH8b2s2O7Mr2JNTwdQWWZze+vUnB/h8X2GrY+dNiOec8fGdXNFaXFiA21v8S8ZI9L+6MsjZ4ni8+3UV/Kx7RgVFABnfOp7f9ToceB8y16qvQ5/Atn/175iFEGIQO1RQBcC4RFnyQrhJXRlXF/yJR3zfpTJzZ7uny2wZo8hgP6YMCyfZqD4MNYckQmeBiT73qDLb0XghSrWNJ+0stc3fbT9dL40bFtHBEjC2+UWknkFSuHq+tslCVUP7Bg6DVUOzhfXH1RpB152WzCVTVAndio0nXXL/A/nq90yov8rLhAb4eF0XS8kYif534hv1yU7seFULXHwAVv1SBUg6/ZMbcARJ028G32DY+gJkb0EIIYRrHLYFRhMkMBLukrkWA6pMPrhoO3BDq6fLbXOMIoP8MBoNjAmoBAvUByXi2/ZeOvsir7nQbCt7i0xV20RbuVXBHvvpeimdHvjYtZhfROqZBPqZiAr2o6y2iYLK+lYLwA5mG0+coqHZSlJ4ABMSw/j+/FTe35XHp3vzuXRqUp/mHzZbrOSWq5//V4+chVUDfx8jMSH+rhq+S0jGSPQ/vYxuzPkw9z61v/MVNYFy+Gz1uHAv1FeAudHxy2rOfTDnHrWfvxOah2a3GCGEcLVDBaqUTuYXCbc54agEGdd8gKI26xrZM0a2xYFH+pUDUOWX0Pk9Wy7yqs8xirRljPTAqPgQmNW99YxRUtuMUYv5RSSpTsqJ4QGtrhkK9DK6s8fHYTAYmJocwemjomm2aNy2Yhvff2krGSU1vbp3bnk9FqtGgK+R+NAAhkUEel1QBBIYif5mtcCxVWp/9GKYfA0ERavHRl+4YjlEjVQZpezNquTOXA/BcRA/EaLSITgWLE2QL90LhRCirxrNFk7Y3uyMl4yRcAdNa1UiP8t4hH25rRswVOhzjIJVdma4qQyAUp8ushT2jFGOo1W3njGKSIGACLA2Q8khGpotlNqyUvZSuuYGaKiE46vV45S5qrsdjuDJG1t2F1Y22Lv4uYqmaXxjC4xazvlZfvNM7j4rHV+TgbVHS/jef7Zisfa8QdbJU7UApEYHt2984UUkMBL9K2+H+lTGPxyS54BvAMx7QD13xkMQPRJSz1CPT37n+IQpfaGqMTYY1C8ugJzN/T16IYQYdI4X12C2aoQH+to/JRfCpcoy1DIdRl8smEgylHEy40jrU2wZowhbxigBtd5RITGd3zc8RW3LT6p1i8ARGBkMrcrp9MxPsJ+JsEAfOPY1PJ0MT6fAql+o8/T3HziCp4I2GaOvDxax7ItDvQoOXKGwsoHznlvLlf/Y0OWSOD11sKCKwqoGgvxMzEuPth8PDfDl8SXj+erhBQT4GsmrqCertLbH9z9pu2ZEdJDLxuwOEhiJ/qWX0Y06W7XaBDjjYbh/Kyz6uXqceqbanlzv+IRp5CLHPVLmqW22BEZCCNFXLcvohlL3LdGP9P/Lk2dTFjYOAOvJja1O0ecYRQWrwCjarLIXOdaozu+rt/E227I6AeEQ1OL8xClqW7CnRUe6QPX3/PgqVX2iC4yECZfbH+qd69qW0v3qkwO8sDaD7SfLOh+XG726+STVDWZOltZRUtPosvvuzK4AYFZqVIedKdNighmboDLK+u+MnrBnjGwLt3orab4g3O/IStj+H1VGV7BbHRu92PG8wQCxYx2PU09X28K9jvWM0hc6nk+2ZYyyN6sJk0aJ74UQorf0xgtSRidcpqZYNVWafpPKwtirPxZhKSqAgweIKmvdma685RwjTSOsqQiAjKbIzl/HN0CV2usdbfVskS5xmtoW7CE/rs38oooctb3g9zDrNjD6gNERECSG66V0jsCoodlif1xQ2f8ldg3NFt7Ykm1/fPJUXbuFcntrX24FAFOHd9IaHRifEMqenAoOFVRx0ZTEHt3/ZGkdAGnR3h0YyTtK4V5lGfDu7SpTdGK1WovIJwBGn9f5NWFJjnlGaBA7Th3TJU4Bn0BoqIBTRzq7ixBCCCccKtQDI2m8IFxk+8uw5w14/RrI3Q6ZtlbYIxcROU5VhUw0H6S4RQOG8jp9jpEf1BTjY23Eohk4Vt/N38uWaxrqjRd0eild4X7yy9U8OntgVGkLMKLSwMe/VVAEai4MON7QA+SW19k/r23bPKI/fLQ7z/5zAkcWxhX22uZ8TRrWRWBk+/DksO13BsCJkhp+9fEBKluMqyOOUjoJjMRQZTHD+/dAc62aT3TFC+rrjlUQ3EXNMLSq8yV9UevnTL4wXK1KLeV0QgjRe5qm2ctiJGMkXCZ3m9o216mF2xsrVZlb0nT801VVyFhDLocyVdbGYtWosGeMfKH0GAA5WhwFNdauXyu8ZWCU2vq5qJHgFwLmepqLjgIwTF/cVc8YhXe8WHxqjJoLU1LdSHWDetOf1SJIKqpyXRmbMzRN46X1JwEIsa0DlNmLuT4daWi2cKxYBY5TusgY6V0rW5bS/e6zQ6zYeJL/bcvu7LJWrbrTvLyUTgIj4T7rn1OrTvuHwVX/hqnXqy+95rcr+jwjaD2/SCfzjIQQos9Kqhspq23CaIAx8ZIxEi6gaY7AKCRBfTgKasFVowlC4ijxHYbRoFF+RK1ZWFXfjN7LICLID06pwChTS6C4urHrJgMtM0ZRbTJGRiMkTAYguGw/YMsYNVarqhNwzFNqIzTAl9hQ1U765CkVELUKjKr7N2O06UQpR4qqCfIzcccZabZxuSYwOlhQhcWqERPiT0JY56V5+gLQeRX1VNY302yxsjlDLcSbV955W/NWrbrDvK9Fd0sSGHk7TXPMsxlICvbA2qfV/pI/qLaZPZF2pmrf7RsMI05v/7zemS57U9/GKYQQQ9ihQvXJb1pMcIcTroXosdITKujwCYA7voKwYer46PPtp5THzATAN2+remzLFoX6++DnY4TS4wBkaEk0ma1UNZg7f73wFu8v2maMABLUh7GxNYcBW2BUmaueCwiHgM4zpXp2I+OUyqa07MZW3M+ldCs2ngTgqhnDmZqssjqZLgqM9NbpU4aHd9mAJTzQ196t73BBFXtzK6htsgBdz7lq2arb2xu8SGDkzaxWePc2+NN4qC7y9Gh6Zt0f1IKt4y+FKdf1/PrQBLjlQ/j+x+Af0v754aeBwQgVWfD6tbD1X2qypxBCCKfpE67HSRmdcBU9W5Q4DSJHwO1fwqV/hak32k/xSZsPwPAq1YDB3njB1pFOzxjl+6igqqS6i7K1ruYYgX2eUUqTuuewiMAWZXRdf2ibbguM9AAkq8wzpXSV9c18e0S9x/nevBH2+U9ZpXUuadntzPwinV5Od7iwmg3HS+3Hu5pzpc8vSvXy+UUggZF32/oiHPgAqgvg8CeeHo3zyk/C4c/U/qKfq65zvZF6hmMuUVsBYTDuYrV/7Ev4/Cfw9zmQJRkkIYRwhsWq8fZ29cn56SO7mfcphLP0wEj//zsiGWbc4liiA4iavBiLZmCqdpi6vP2U2RZ3jQxSi6vqc4wqAkcAUNxV2ZpekWL0cWSnWrIFRuM5idFgJT4swNF4IaLj+UW6tLaBUYtSusKqBpeuI9SV1YeKaLZojI4LYUx8KMlRQZiMBuqbLS4J0PblVQAwxYnASJ+LeKigig3HT9mPO5Ux8vL5RSCBkfcqPgSrnnQ81ltdDgRb/6U6yo08G+LGue91rv0v3Lsezv0VxI5XC8f+91LY+477XlMIIQaJbw4Xk11WR3igL1dM7+ANpRC9YQ+MTuv0lIjEdNYa1fP13/2jdcbI3ATlWQDUhaUD3WSMYsfD1Btg4WOtgi/H82OxmvwJM9QzLaRSlep103hB1zIwMlus5JY7AqMms5XK+q47sbnKF/vV4rUXTlYtsn1NRoZHBtrH1lMNzRYySlR5YF2TmeO2xguTu2i8oBtn6165K7uCXba1jwBKaxtpMnfcKCPTFlCmevniriCBkXcyN8H7d4GlEWLGqGOZ36kub+6UsRaWnwE7X+39PRqrYed/1f7cH7hmXJ0xGNSkyjMehru+URkkSxO8fyfsedO9ry2EEAPcS+szAbhhdgqBfjK/SLhAUy0UHVD7XQRGAOuirgEg/Nh71FWoMrGoID8ozwTNAn4h+IarpTq6DIyMRrhiOZz1046fN/lSFabeS80LtM0tqrQFRt1kjNJjbYFRSS0FlQ00WzT8TEbCAlQA5q5yum8PF9tL02oazaw9WgLAhZMS7Oc42on3PDB64sP9nP3sWl7fksXB/CqsGsSH+atsWjf0jNGRomqaLFYSwwPwMxnRtM4ze/rcLMkYid757o9QuA+CouGWj9TkwMZKyN/lvtfUNFj5mHrdjx9QC7NZu2mR2ZHdb0BjFUSPhpHnuH6cnfELgmtfhVm3q8c7VvTfawshxABzML+KTRmlmIwGbpk3wtPDEYNF/i4V1IQmQXjXWUjz8Lnst6biY2lgRNa7QOuOdESPItb2Rr3LwMgJBUFqEfkpJpWJcjZjlBwVhNEA1Y1mdmSV244F2hd/dcdaRjuyyrltxTau+PsGKuua+fZwMU1mK6nRQfb5PeDIZvWmM936Y6oE7tefHOTNbepnMdmJMjpQAVmAryN8OH1UDPHhqtNcRz+Plq26ZY6R6Lnyk7D+ebV/0bNqYdO0s9TjDDeW02WuheKDqkYXYMPz8O6tPctSWa2w+Z9qf+696lOc/mQ0wrwH1H7eTjD37xoDQggxULy8QWWLLpyU4FjwUoi+0svokrvOFgGMigvlJfMFAEwveAcfzEQFO9YwImY0cbZ22cV9DIwyfFRJ3mjLCXXAyYyRv4+J4ZGq/EtvfjAiOpi4sM4Dgb7SS9zyKxtY+sFeVrYoo2vZ0U0vS+tpKV1pTSOFtnE3ma28u0Nl0SYPi3DqepPRwNgWrf3PGBVjb/Hd0TyjnLI6LFaNQF+T17fqBgmMvM+XP1cldGkLYMLl6pi+wKkz84x6OxFQD2hm3a4WYTX6wsGPVPMHZ534RqXAA8JVva8nRKVDcKz6Gebv9swYhBDCi52qaeSj3fkA3H5GB128hOit3O1q200ZHcDo+FA+tc6jzBBBhLmEJcatao7RKdWqm+jR9nWE+pox2mdJBSCp/qiarlCtgo3uutKBIzOzzlbONiI6yB4I9DVg68ipmib7/uf7Cvl8fwHQuowOHGVpPS2lO1hQBUBieABJ4Y7Sua4Wdm1rXIKji+X8kdEk2DJohR0ERnrDihHRQV7fqhskMPKMplrY8xa8dyc8MxL+MgP2v6cCi8OfgsEEF/7e0c1NX+A0d6uaw9OR46vhn6fD85Mhd0fPxlN6Ao6uVPtz7lWLsJ75iHq867/O32fnK2o79Qbw81C61GCQNY6EEKILX+wvpMliZfKwcGakRHp6OGKwaLmwqxOB0ai4EJrw5b/Nquz+Rp/Vao6RPWM0ymWB0fb6RMyakYDmcvVeCg18AiG4+26MemBUXqcaLYyICrLPxXFHxuhUjfpe9e9d01SL8balbvq4skrrsFqd/1D8QL4KjGakRPLXG2fgYzTgazL0KDAab2vAMDouhLiwABJsmaCOAiM9EBsIZXQggZFnvHcXfHA37HsH6k5B2Ql493a1Hg/A7Lsgbrzj/Kh0iBih1gXK2tj6XhU58MZ18NqVULRfpYdXLFHZHmdtWa62Yy6A6JFqf/rNgAEy10FZRvf3qCmBI1/Yrv2e86/tDinz1DZ7s2fHIYQQXmil7RPoi6ckengkYlDZ8TLUFKmSfFuL7K7EhfoTGuDDW+aFWDQDc42HSDDntphjNJq4UD0z07cA5GSlhWPacPXg0KdqGz7cqeVE0to0DBgRE2wvCXNHYFRqC4zuOCONeenRgPq32jbbMiwiEB+jgUazlYIejEMPjCYkhTFzRCRv3TOP/94+h+gQ58vcLp8+jPMnxPPoBarzsD1j1ME4PtmjstNnjhkYSwJIYNTf6ivUujsA838Et36m1vrxDQJrMwRGqZaTbY3soJyupgReuVhle4w+MOc+tbK0uQHevgU2/aP78dSVwa7X1f7c+xzHI1Icr6k/35W9b6rxJ82AhEndn+9OybaMUc7m3jWQEEKIQaq8tonNGWUAXNCmNEeIXrFa4asn4NOH1ePT7gLf7uetGQwGRsWFUEA0a60qkEo78h+19AZA9Eh71qS8rrnTVtDdKalu5FRNE/u1VHVAX2exm/lFunaBUVQQcfaMkftK6eJC/Xnhlpk8c/UUfnTO6Hbn+ZiMpESpeUZZPZhndCBfLeY6MUmVw80cEcm8kdE9GmNEkB8v3jKL8ybEA9hLC9tmjA4VVHG4sBo/k5GLJyf16DU8RQKj/nb0S5X5iR0P5/9GLWK64FH44Q5Y8Bjc+DYEdlDaoM8zOvQxFOyFpjr433WqWUPECPjBZrjwabj+fzD7bnXul0tVyV5nzE0qgGquhbiJal5TSzNuUdvdrzuaMDRUtp/HpGmOFt0zPJwtAkicolLk9eWOlLwQQgxBx4ur+cea49Q2qt/hqw4VYbFqjE8MY8QAKW0RXu6Ln8LGv6r9RT+HC5Y5femo2BAA3rIsBCD8iO09S9hw8AsmItAXX5PKlOglZj21P08FAkVBtuVP9MVdu+lIp2sZGBkNMDyyf0rpYkL8CQvw5dpZyQT7d7A+E455RplOzjOqazLbmzVMTHK+dK47CeEdN1/4YFceAGePiyNcX7zXy0lg1N8Of6K24y9pfTwsCRYt7byTS/pCCI6Dqjx44Sz1lbdDBVE3vwcxtk8TTD6w5A8qGwXw0f1qfaK2NE215T75HfiFqDUA2qaUxy5RLcOrC2DXq/DBffB0Crx6hcp86XK2wqmjKus16eqe/kRcz+TrWHFb5hkJIQaZqoZmvthXQLOl+0/Qn/r0EM+sPMJTnxwE4Etbh6sLJkq2SLiA1aqW6QC47B/qg94eTLAfHa8Co2+sMyjRwjBotr/TMaMAMBoNxIT0bZ7RPltgZE1oU97nZMYoKSJQLQrbYl8vpSuubuzR/B5ntAyMumNfy8jJjNGhgmo0Tc1f0rNxrqAHRsXVDfafh8Wq8dFuFRhdMWPgLCAtgVF/aqqDY1+r/fEX9+zawAi4azVMvBLQVCbE5K8yRDHtU6yc+2uYeIUqb3vrZtj9P6gtVQFRwV745EHY+5Zq9HDtKyrL0paPP0y5Xu1/+hDssf3yy/gW/nO+ylaVHFXrLoF6vYCw9vfxhLbzjPa9C7te89x4hBDCRZ78cD/3vb6TJz7Y3+V5mqaxJ6cCgLe25/DFvgK+s61fcuFkCYyEC1RkQXMdmPxgynU9vnxUnAqMmvHhExY6noh2vK/pa8vuvbkqMIpImwG0CNqc6EgHqj213hp7hG0bG+KPwaDe/JfWNnV1eY9YrBpltvvFhPp1e35ajBrP8eIap+5/sE0ZnavEhaqfR7PF8fPYeOIURVWNhAf6snBsrEtfz506zs0J9zjxDZjr1fydhA4Cke5EpMA1L8Oce2Dbf2DqdTBiXsfnGo1w+XLVkjJ7E3x4L2BQGSa9fhfgkudh1Lmdv+aMW2DzPwANhs9WZXqrnoRTR1Q3Pc3S+lxvoXemy9oAnz8KW19QjxMmOzUpVAghvFFJdSOf7VPNE97ansOicXGdzhXKLa+nsr7Z/vhHb+6i2aKRHhvMaNsbUiH6pOSI2saMURUrPTQ6zrEezjeB53N7w8e2+zkCo752ptNL6canJkH0KEeJvZMZI1DldEeLakiJUhkaH5ORmBB/SqobKapqcFn2pbyuCaumkm5RQd0HRpOHRwCwM7sCq1XDaOw6W6c3XnB1YOTbwc9DL6O7eEoi/j4ml76eO0nGqD8dspXRjbukR6nmdlLmwlX/6jqgAfANgBvfgjN/DPGTAE0FRb5BqgPdNa90H8zEjYOb3oUb3oI7voIp16jMVcIUFRSZ/NT8p6tfcgQj3mD4aWAwQkW2IygC2Pmq58YkhBB99Pb2HJotGn4m9d/30vf3UtzJPAf9TdDI2GCGRwbSbFElLhdMTBgQ64mIAaDkkNrGjuvV5cMiAgnwVX+Xq0PTbe9rDK3eT3QWGNU3WcivqO/y/sVVDRRWNWAwwITEsNYfjDo5xwhgwZg4DAY4c7Sjs5qjnM5184z0MrrIID98TN2/RZ+YFEaQn4nK+maOFneynEsLeutsV84v0iW2mGdU12S2L0x75QAqowMJjPqPpRmO2tpZ97SMri8CwuGcJ+G+DfDIIbhjFTyaqQKmiZc7d4/R58LYCxzBXFiSus9tK+FnJ+GWD2HSVW76BnopIAziJ6p9nwCY+wO1v/dtaO76F6kQQngji1XjjS1q4vhvLp/IhMQwyuua+cm7e9E6WNxb7z41a0QUv7/KUaVw4SRp0y1cpPiw2vYyMDIaDaTHqOxlZJCv+sD2gW2tApjYTlp2375iGwv/sIacsrpO76/PLxoVG6IaGOj3NZgg1Pl/BzfOSeHArxezZLLjmvhQ13emO1VtK6ML6T5bBCpTM3OEati1NbOsy3ObLVYOF6rgaUKi66c96A0pCqsa+OpAEXVNFlKiggbcWmkSGPWXk9+pjm7BsZA8xzNjCEuC5Nkqk9RXvgGqjM9TC7k648wfQ+qZqiX6+f+nShEbKx2ZOyGEGEC+PVxMXkU9kUG+XDZtGH++fhr+PkbWHS2xz6NoSS8hmjQsjNNHxfDMVVN44qLxTBrmJXNBxcBXYguM4noXGIGjAUNUkB/4h7SbN91ZxuhgQRVNFivrjpXYjzWZrby8IdOeSdIDI/viqEnT1TYipcelf0F+rc+Pc0FnutWHivjh/3ZR1aBKXnvSeEE3OzUK6D4wOlFSQ5PZSoi/j73NtyvpGaPCynp7Gd3l04cNuOy0BEb9Zd+7ajt2CRgHTq3lgDbxCrj1U9Whzmh0LDyrtxYXQogB5NXNWQBcOyuZAF8To+NDmW9bf2S3rclCS/v1+QS2N4XXnpbMnWemD7g3KsJLWa2qIy2oJUh6aZbtjf3o+NAOn48Nad98odlitc+f25FVbj/++pYsfv3JQe7673asVo19tg8MJg+3BUYjToezn4CLnu31eHWORV57nzH6yzfH+WRPvr3srDeB0WlpjsCoo8yx7kCebWHXxLBu5yL1hp4x2pdXxXe2YPWK6QOrjA4kMOqd/F2QuwOslu7PBWioggMfqP1pN7lvXKJr025U845OfgelJzw9GiGEcFp2aZ39k/Eb5zi6aU2xTb7ek1vR6vziqgZKqhsxGmB8gmSIhBtUZjs60kWm9vo2N85O4bMfncHdZ6V3+HysrTtbaa0jAClv0QmuZWC05oj6N3Igv4qP9+S3zxgZjXDWT2HUOb0er04PBDqb4+eMbNv6Qxklaqsv7hrtZCkdwLTkCPxMRoqrG8kq7byscPXhIgCmj4jo5Wi7pmeM1h0twarB9JSIdovjDgQSGPWEpsF3f4IXF8K/z4Y/jIL37oTCfV1ft/899csjZqwqZROeET4cRtp+GUrrbiHEALI5oxRNg9lpUa0WZp2arN7wtS2l22+bXzQqLoRAP6lSEG6gzy/qZUc6ncloYGJSOKZOshjRwSp7UlrjCIZOtdjPKq2jpLqRRrOlVTnZbz87SLHtw4EJLu7CBpDQYk5Nb1Q1NFNep7JeGSWq3XZvMkYBvib774HOyumqGpr5+lAxAJdMSerVeLujr2Wku3IAZotAAqP26ivg7e/Dxz+Egx+reUGaBuYmtSDq6l+r83yDVYe3fe+oNX0Of9b5PfXSrRnf61s3OtF3ehe+na9Ao3N9/4UQwtPybHMmRsa2/gRWzxidKKmhusHRmnu/rWxmkhu6TwkB9LkjnbNibHOM6pos1DWZAexr/eh2ZJWzM6uC+mYLMSF+JIQF2IOnUXEh7eYHuUKcvZSud4FRy6YRGaf0jJEKjGJ7EBiB+sAEYEsngdHK/YU0ma2MigtxeatunR4oAvgYDVzkpgDM3SQwamvnf+Hgh2r79vfg6RT4dQT8NlZlGQxGWPJHeCwLbvtCtapuroM3b4JN/1BBVEuF+yB/Jxh9HYulCs8ZuwSiRkJdKWz7V9fnlhyFP4yGD+6DZte14xRCiJ4qqFSBUVJ4YKvjMSH+DIsIRNMcE83B0XhBn18khMvpaxi5OTAK9jPh76PerupZo5ZldQA7ssrYcFwtXnzGqBgeOX+M/bnJwyLcMi49ECitbaLJbO3x9dktyt6ySmsxW6yOjJETi7u2dJregOFkaYfPf7RbNUO4wo3NEFpmjBaOjSMquGffg7fol8Do73//O6mpqQQEBDBnzhy2bt3a6bkrVqzAYDC0+goIcEEXtY5U5MDhz1sHM3rHstQz1RvolgIi1Ho+s+8Cky+MmA83vQMzbwM0+HIpbPt362v0dXPGLYGQgbPy76Bl8oEFj6r9DX/pOmu0+R9QWwx73oD/Xgq1p/pnjEII0UZ+hfpwJjEisN1zU4a3L6fT1zCa5KZPh4Wg2JYx6kNHOmcYDAZ7aZkeOOgBkr6e146sctbbAqPTR8Vw1YzhjEtQzRymp0S4ZVxRwX74mYxoWu/WMspukTFqtmjkltfb23Xr5YPOmjkiEqMBcsrq7R+i6AorG9h4QgVMl051XxYnyM+HiCBfYOCtXdSS2wOjt956i0ceeYRf/vKX7Ny5k6lTp7J48WKKi4s7vSYsLIyCggL7V1ZWlnsG996d8OYNag4QQHUh5NqCtitfhB/thJ9lwU8z1NdPjsGY81vfw+QLFz8HC5eqx189oTINoJou7H1L7U/vZiFV0X8mXa2C3vqyzrNGTbWOToI+AZCzBf59jgqmhRCin+XrGaOI9h8U6uV0e20NGMpqm+yld+6YWyGEqzrSOUtf10cvj9NL6eaPUl0Z9+VV2v/+nzE6BpPRwL+/P4snLhrPtbOcX8i1JwwGgz1LUljZt8AIVDmsngnTywedFRrga1+09ZG39vDFvgJ7FuuTPfloGswaEUmyG9p0t/TzJeO5/fQ0zpsQ79bXcSe3B0Z/+tOfuOuuu7jtttuYMGECy5cvJygoiJdeeqnTawwGAwkJCfav+Hg3/IDrytSbXYBNf1NZo8OfqsfDZqk1fwACIyA4Wn35dJIWNBjgrEchfSGYG+D9u6AsE16+EBoqIDwFRi5y/fcgeseZrNGBD6GpWnXauXstRIyA8pPw7e/6caBCiKHoSGE1b23Ltrfe1TSNAlvGqG0pHcBUW8ZoT47KGOkLu6bFBBMa4NsfQxZDRXO9er/koo50zooO0Rsw2DJGtgBiWnIEMSH+NFs0rJqag5do+zcyPDKIO89Mx8/HfW919cCooA+Bkd50Yk9OBc0W9W8+uhdlaHqWZlNGKfe9vpOZv13FPa9ut7f5v6wfmiFcMyuZJy+ZgK9p4M7UcevIm5qa2LFjB+eee67jBY1Gzj33XDZt2tTpdTU1NYwYMYLk5GQuu+wyDhw40Om5jY2NVFVVtfpySuZawFZCl79LBUmHbIHR+Iudu0dLRiNc/k9VblewG/4+G4r2Q3AcXPuKrF3kbVpmjbb/p/3zu2wlkNO/p8oErn5ZPd7/LlQXOf86lXnSGlwI0SM//N9OfvbePnv5S0VdM/XNanmItp2fACbZAqO8inpKaxp5fXM24CixE8IlCvfD0yPgxQWOzq597EjnLEfGqHUpXXSIP7NGRNrPO2NUjNvH0lJiHzJGevOFGbZSv60nVeOE0AAfAnx7/p7xttPT+ObHC7hv4Ujiw/ypbjDz5YEissvqVDOEyYk9vudQ5NbA6NSpU1gslnYZn/j4eAoLCzu8ZuzYsbz00kt89NFHvPbaa1itVubPn09ubm6H5y9btozw8HD7V3KykynTE9+qrdH2adqaZWp9G4Bxlzh3j7bCkuCS59W+pQniJsBdq2HYjN7dT7iPyQfOeEjt71jRep5ZyVHI3qQabejrTg2fCcNnqz/X7Z1nO1tpblDld8vPhJrOS0eFEENXYWUD9U2ONfHyKuo5WqSy2IcK1Ad9ehldTIhfh2+YwgJ8Sbd1q/vDl0dYeaAQH6OBexeMbHeuEL2Wtx0sjVCwB9b9QR1zc+MFXbR9jlHrUrroYD9mtgyMRvfvXG79g4r8NvN6umOxqjlFoBoVAOzKrgB61qq7rfTYEH52wTg2PnYOH95/Oj9dPJYFY2J57MJxA7YZQn/zulzXvHnzuOWWW5g2bRoLFizg/fffJzY2lhdeeKHD85cuXUplZaX9KyfHiTkgmgYZtsDo7CfUNmMNWM2qVjZmVO+/gYlXwPn/B7Pvgdu/hIiU7q8RnjHxSvALgbIMyNrgOK5ni0afD2EtPmGZe5/abvu3c13qDn8K1QXQXAuZ61w3biHEoHC0qJozn/mGe1/bYT+23raIK6g5B4C9jC6xgzI63TTbPKM3t6n/A+9dMJLxiTK/SLiQ3oAoJF59cAiQMKlfXrpd84WWgVGqCoxMRgNz0qP6ZTy6xLDeZYzyK+oxWzX8TEbmpqt5Uo22OUExPVjctTMmo4FpyRHcv2gUr9w+mzvP7HjxXNGeWwOjmJgYTCYTRUWtS4+KiopISEhw6h6+vr5Mnz6d48ePd/i8v78/YWFhrb66VZYBFdkqWzT7LjU3SDe+l9miluY/AEuegQD5T8mr+YfApKvUvt49sLEa9vxP7c9o0zBj/KUQNhzqTqmSuu7o61eBIxsphBA2n+4toNmisfZoib1173fHHN0vTxSrtU26aryga1k2lx4bzANn9+EDPiE6UmdrBT31erjnOzj/tzDr9n55aT1YsLfrtgVI0SF+TE+O4N4FI/nVpRMJ6+c5dQm2Dyt6OsdIL6MbHhXIqLiQVs/1JWMk+s6tgZGfnx8zZ85k9erV9mNWq5XVq1czb948p+5hsVjYt28fiYkurI3Us0XJc8AvGOb+wPFcb+YXiYFLD34OfqgW9135GNSWqEzf6LYdCH1UIA2w+Z/t16xqqSzTNo/N5uR6V45aCDEIrDniKLH9ZG8+VqtmX4sFHBmjfCcyRlOTI+z7T185pVdzFITokp4xCopRmaL5P4SA/pnHprevLq1tpMlsparBbD9uMBh47MJxfG/uiH4ZS0v6hxU9zRjpjRdSooIID/RtlSWSwMiz3F5K98gjj/Cvf/2LV155hUOHDnHfffdRW1vLbbfdBsAtt9zC0qVL7ec/9dRTfPXVV2RkZLBz505uvvlmsrKyuPPOO103KH1+0ciFajvqPJh2M8y8FRKmuO51hPcbNlPNBTM3wIf32SaUGuDy5aoVe1szbgHfINVY48Tq9s/r9Impw09TJQelx6GqwC3fghBi4Cmpbmy17tBHu/M4kF9FeV0zQX4qqCmtbaK8tsmxuGsXGaNpyRE8sGgUT185mdlp/VtOJIaIOj0wiu73l9YXPD1V00R5ncoamYwGwgM923VRn2NUXN2A2eL8Iq8tAyOA9BhH1kgCI89ye2B03XXX8cc//pEnn3ySadOmsXv3blauXGlvyJCdnU1BgeMNY3l5OXfddRfjx49nyZIlVFVVsXHjRiZMmOCaAVnMkGkra0o/W22NRrj873DJn1XrbTF0GAyOrNGRz9X29B9B6ukdnx8UpQJogDW/d2SNCvfBf86Hr38F9eWw+3V1fN79jmC75TwmIcSQtvaomks0MjYYPx8jR4tq+Pf6DADmj4wmyfaGK+NUDfkVemDUecbIYDDwk8VjuX62zGsVbqJnjIL7t/MbODJG5XVNFFepMrrIIF+MRs++Z4sJ9sfHaMCqQYmtvM8Z7QIjW/MUUOWBwnP6pfnCAw88QFZWFo2NjWzZsoU5c+bYn1uzZg0rVqywP37uuefs5xYWFvLZZ58xffp01w0mfxc0Vqq22knTXHdfMXBNuU6txQAQPxkW/bzr809/UC36mrsVTnyjFoN951bV8n39c/DcJNV0ITAKxi6B1DPUdTLPSAhh862tjG7J5ETOtnWl+mh3PgBnjo5lpG3ewYniWqdK6YRwuzrVTpqg/g+MooL9MBjUZ5HHS6oBR7DkSUajgfiwnq9l1FVgJBkjz/K6rnRuVV+uPtEHSDtL1hYSSlCUqpWOTIOr/g0+3fxSCk1wTDhd8zR89QtVKheSoNZGarItGDv1BnWv1DPVY5lnJIQAzBYr62wZo4Vj47hsWlKr588YHcPIWBUYHS2qpqhKveEa1kXGSAi30jRHKV1w/5fSmYwGooLUB5hHCtX/sd7Sfro3axnZA6NoFRiltSiliw31ju9rqHL/qlzeoiwT3rgWTh1VLZpPf9DTIxLe5Jwn1ZezTn9QrWeUu1V9AVyxHEacrhaMzdsBZzysjqfMbT3PKEwWWRNiKNuZXUF1g5mIIF+mJUfQbLES4u9DTaOZpPAA0mOCGWn7BHlzZilmq4aP0UBsqHySLDykqVbNxQWPZIxAlZiV1jZxtKja/tgb2NcyqnBuLaPK+mYq6poBSI6UjJG3GRoZo+oi+M95KigKGwa3r4Thszw9KjGQtcwagepsOHIR+Pip9Y6u+jeE2BaaC4yQeUZCCDu9jG7BmFhMRgMBviYWT1RLWJw1JhaDwUC6LWN0IF8t8hofFoDJw/MpxBCmZ4t8AlQ3Xw/QA4YjhXopnXcERj3NGOmtumNC/Aj2V/mJlKggooP9CA3wsZfmCc8YGhmjnf9VLZhjxsAtH8sn9sI1Tn8I9r0L4cPhnF92fW7qGVCwW7Xwnnx1f4xOCOGlvj2sAqNFtrlFAEuXjCMuzJ/b5qcC2Evp9P4uXXWkE8Ltam1rGAXFeKxJVbQtMMqzZWaivGCOEbRYy6iqZ4FRsm1+EYCvycjHPzwDi0WTVvseNvgDI6sVdtkW7zzzxxIUCdcJjYdHDgIGtcZRV9LOgk1/UwvJahqc/Qt1vRBiSDlRUsPhwmpMRgNnjYm1H48J8ednF4yzP44P8yfYz0RtkwWQxgvCwzw4v0gX06Z0zltK6XqaMWrbeEEncwi9w+AvpTu5DiqywD8cxl/q6dGIwcbk231QBGqtrOk3A5oK1P86A7I2un14Qgjv8t6OXAAWjontcvK4wWCwd6aDrlt1C+F2dXrGyJOBUesM0UAtpdMzXsMj5d+0Nxr8gdFOW7Zo8tXgF9T1uUK4i9EIl/0d7lgFiVNV57qNf+v+OkszZG2C+gq3D1EI4V4Wq8b7O/MAuGrm8G7P18vpQErphIfpaxh5qPECdJQx8o5SOj2bW1TVgMWqdXu+M+uSCc8Z3IFRXRkc+ljt64t4CuFJybPhoufUftYGVerZlZVL4eUL4Jl0eOkC2P6yY9KBEGJA2XD8FIVVDYQH+nLO+Lhuzx/ZolOVlNIJj6rz3OKuurbrFnlLu+7YUH9MRgNmq0apE4u86uuSSWDknQZ3YLT3bbA0QcJkWcxVeI/EqaplfEMFFO3v/LyKbNjxstrXLJC9CT59CA580B+jFEK42Hs7VRndZdOS8PfpfoJ1umSMhLeo9XwpXds5Rd5SSmcyGoiztdJ3ZpHX/EqVMZI5Rd5p8AZGVivsfEXtz/i+Z8ciREsmH0iZp/a7WvT1u2fBaoa0BfDgXkfWc+3vu880CSE8zmrVWH/sFHkV9VQ1NLNyfyEAVztRRgdtSukkYyQ8yQsyRi3nGJmMBsIDfT02lrb0tYwKKrtey6i20Wxfw0ifmyS8y+ANjPa9A8UHwS9U2iML75N6htp2FhhVZMOu19T+wscgcgSc9xsICIeSw3DwQ/WcuQmOfQ2NNW4fshCiZ17akMnN/9nC6U9/w4XPf0ej2crouBAmDwt36vr02GDGxIcwIyWCiCDveRMohiCvmGPkCIwig/wwetG6Xon2wKjrjJEeOIUG+BAaIP+mvdHgDYzWPK22Cx6FwEjPjkWItlLPVNvO5hm1zBaNmK+OBUbA3PvV/trfqzl0r10Jr18F793RL8MWQnTsqU8Ocu0Lm6i0fRpstlh5aX2m/Xm9E9XVM4djcHIdGF+TkZUPnsW79853+hoh3MILMkaBfiaC/VQJattGDJ6WEKYyut11psuzzS+SMjrvNXgDo7oSiB4Fc+719EiEaK+reUZts0UtzbnHkTX62yw4+Z06fnQllBxx+7CFEO0VVTXw8sZMtmaW8fc1xwFYdbCI/MoGooL92PDY2Sy7cjIPnjOa79sWcHWW0Wjwqk/GxRBVV6a2HpxjBI5OdN7SeEGnZ4zyuwmMpCOd9xu8gRHABU+Dj3f94xEC6HqeUUfZIl3LrFFdKYQNg+Q56vGW5W4dshCiY18eKLQ3i1yx4SQ5ZXW8vPEkADfOTmFYRCA3zE7h4fPGyKr2YuAxN0Jjldr3eGDkZ9t6R6tu3YhotRzM8eKuy9oL7IGRzC/yVoM3MEo/B0af5+lRCNG5juYZdZUt0s29FxKnQdpZcOdqOOdJdXz3/xyf6gkh+s0X+1RTBX8fI00WKw/8bxdbM8vwMRq4ee4ID49OiD7SF3c1mCAgwqND0ecZeUtHOt34xDAAjhdX02TuvDlSnrTq9nqDNzA675eeHoEQXetonlFX2SJdQDjcsxa+/wmEJcKI01VLenO9oxOjEKJflNY0siVTvXH8yw3TMRhgT04FABdOTrR3qxJiwLI3XohWi5V7UHKkyswMj/SuwGJ4ZCChAT40W7Qus0Z6KZ3MMfJegzcwikr39AiE6FrLeUZb/gllmd1nizpiMMDcH6j9rf8CS7PLhyqE6NhXB4uwajBpWBiLJyZw9QxHK+5bezifSAiv5AWNF3Q/WDSS310xmetnp3h6KK0YDAZ71uhQQVWn5+lrGMmCzd5r8AZGQng7kw9Mukrtf/k4/HN+99mizky6CoJjoSpPFoAVoh99YVub6MJJiQD8+PyxJIYHcM64OGakRHhwZEK4iBcs7qqLCfHnxjkphPj7eHoo7UzoJjCyWjUK7KV0kkn2VhIYCeFJFz0LFz6j6rab69SxnmSLdD7+qmMdwLo/gNXisiEKITpWWdfMxuPq0/QLJyUAaqHHjY+dzX9uPU1abIvBQZ9j5AUZI282PjEUgEOFHQdGp2obabJYMRogPkwCI28lgZEQnmTyVQHNj3bBWY+qToo9zRbpZt+tAqxTRyVrJEQ/WHWoCLNVY2x8KOmxIfbjEhCJQaWuxRwj0Sm9lO5gfhWarU3l61uyWPbFISxWjXxbtig+LABfk7z99lbel4sUYigKioKzf963ewSEw7wH4NvfqgVgJ14BRmkNLIS7fHO4CIALbNkiIQYle/MFyRh1ZUx8KEYDlNc1U1TViNEIv/hwP1YN5o+Moa7RDEhHOm8nIasQg8kcyRoJ0R80TWNLhmqPf+ZoecMoBjEvar7gzQJ8TYy0ZY4PFVTx8e58rLb1zT7anUeeLO46IEhgJMRgomeNQGWNZK6REG5xoqSG0tom/H2MTBke4enhCOE+XtR8wdvZy+kKqnh/Z579+Jf7C8k4VQtI4wVvJ4GREIPNnHscWaMdKzw9GiEGpc22bNGMlEj8fOS/UjGIScbIaXpg9PHufA4WVOFrMhAf5k9tk4WPd+cDsoaRt5Pf5kIMNgFhsHCp2v/mt1Bf7tnxCDEIbclUgdGc9CgPj0QIN9O70skco27pnemOFFUDcM64eK6YrtY2q7HNMZI1jLybBEZCDEan3QGx46G+DL5d5unRCDGoqPlF6s3inDQpLxKDmNUCdepDAMkYdU9fy0h35YxhXDYtqdUxKaXzbhIYCTEYmXzhwqfV/rZ/Q9FBz45HiAGutKaRyrpmALJK6yiubsTPZGS6LOIqBrPqQkADgxECIz09Gq8XG+pPdLAfAJFBviwcG8e4hFBGxzna+UspnXeTwEiIwSp9IYy/BDQLfP1LT49GiAGrqqGZc/+0lvOeW0txdQNbMlW2aGpyOAG+0hJfDGKF+9Q2dpz6wE10yWAwMCFJZY0unZqEn48Rg8FgzxoF+ZkID5SfozeTwEiIwWzh42qbuQ4sZs+ORYgBatOJUsrrmimubuTHb++xN16QMjox6BXsUdvEqZ4dxwDywKJRLJmcwH0LR9mPXTljOFHBfpw5OkYWgPZyssCrEINZ7DjwDYbmWig9DnHjPD0iIQacjcdP2fe/O3YKo+19jTReEIOeBEY9Nic9mjnprT80SYoIZONjZ+MvHSy9nvwJCTGYGY0QP1HtF+337FiEGKA2nFClc2ePiwPAqoHJaGBGisy5EIOcHhglTPHsOAaBAF+TZIsGAAmMhBjsEiaprV4rLoRwWlFVA8eLazAY4E/XTuW8CfEATBkeTrC/FF2IQay2FKpy1X7CZM+ORYh+Ir/VhRjs4m2BkWSMhOixjSdUGd2kpHAigvz449VT+cea41wwKcHDIxPCzQpt2aKokWp9PCGGAAmMhBjs9E/6CiUwEqKnNhxXZXTzR6o5A+FBvixdMt6TQxKif8j8IjEESSmdEINd3ATAADWFUFPi6dEIMWBommZvvDB/lCxuKYYYe2Ak84vE0NEvgdHf//53UlNTCQgIYM6cOWzdurXL89955x3GjRtHQEAAkydP5vPPP++PYQoxOPmHQFSa2i+SeUZCOOtkaR35lQ34mgycliqNFsQQIxkjMQS5PTB66623eOSRR/jlL3/Jzp07mTp1KosXL6a4uLjD8zdu3MgNN9zAHXfcwa5du7j88su5/PLL2b9fyoCE6DUppxOixzbYskXTUyIJ8pPKczGENFRCWYbaT5DASAwdbg+M/vSnP3HXXXdx2223MWHCBJYvX05QUBAvvfRSh+f/+c9/5oILLuCnP/0p48eP5ze/+Q0zZszgb3/7m7uHKsTgFW8LjKQBgxjgPtiVy7eHO/5gzdX0xgunj5QyOjHE6B+ihSdDsCxkLIYOtwZGTU1N7Nixg3PPPdfxgkYj5557Lps2berwmk2bNrU6H2Dx4sWdnt/Y2EhVVVWrLyFEG/aW3RIYiYErp6yOh9/awz2v7aCuyez21ztcUA3ALCmjE0ONlNGJIcqtgdGpU6ewWCzEx8e3Oh4fH09hYWGH1xQWFvbo/GXLlhEeHm7/Sk5Ods3ghRhM9Jbdp46AudGzYxGilw7kqw++msxWdmVXuP31SmubAIgP83f7awnhVWRhVzFEDfiudEuXLqWystL+lZOT4+khCeF9wodDQDhYzVBy2NOjEaJXDhc6KgK2ZJT2+X7ZpXXkVdR3+FyzxUplfTMAUcESGIkhpviA2srCrmKIcets0piYGEwmE0VFRa2OFxUVkZDQ8eJ4CQkJPTrf398ff3/5T0uILhkM6pO/k9+pcjopjxADkF7aBrAls6xX9yivbeKNrdl8treAgwVV+PkY+ceNMzh3Qny78wCMBogI9O39oIUYiKry1TYixbPjEKKfuTVj5Ofnx8yZM1m9erX9mNVqZfXq1cybN6/Da+bNm9fqfIBVq1Z1er4Qwkl6OV3eds+OQ4heapkx2pVTQUOzpcf3WPr+Pv7w5REOFjjK8u55bQcf7MptdZ5eRhcZ5IfRaOjDqIUYYMyNUGfLyIYleXYsQvQzt5fSPfLII/zrX//ilVde4dChQ9x3333U1tZy2223AXDLLbewdOlS+/kPPvggK1eu5Nlnn+Xw4cP86le/Yvv27TzwwAPuHqoQg9toW1OTve9AgzQpEQNLXZOZrLI6AEL8fWgyW9mTU9Hj++zLqwTgkfPGsO3n53Ll9GFYrBoPv7WH93Y4gqMyW2AUFezX98ELMZBUF6ityR8CpfGIGFrcHhhdd911/PGPf+TJJ59k2rRp7N69m5UrV9obLGRnZ1NQUGA/f/78+bzxxhu8+OKLTJ06lXfffZcPP/yQSZMmuXuoQgxu6WdDzBhoqobdr3t6NEL0yNGiGjQNYkL8WTAmFoCtPSynq2+ykF+p5hTdNCeF2FB//njNVG6eq8qFXlyXYT9XzxhFh0hgJIYYvYwuLFGVYQsxhPRL84UHHniArKwsGhsb2bJlC3PmzLE/t2bNGlasWNHq/GuuuYYjR47Q2NjI/v37WbJkSX8MU4jBzWiEOfeq/S3LwdrzMiQhPOWwrfRtfGIoc9KjgJ7PM8o8VYumQUSQrz0TZDQauGVeKgCFVQ32c8tqVPfGaGm8IAa7gr1Qe8rx2B4YDfPMeITwoAHflU4I0QNTr4eACCg/CUdXeno0QjjtcKFqvDAuIZTZaSow2pFVTrPF6vQ9Mk7VAJAeE4yhxSfh8aEBAFTWN9vnLZVKKZ0YbEqOwMa/QlOd49iRL+CFM+Hd2x3H9FK60MT+HZ8QXkACIyGGEr9gmHmr2t/8z55dW3oCPrwf1v6h9fGMtfDmTVBV0PF1QriA3nhhbEIYY+JCiQjypb7ZYp8z5IyMkloARsaGtDoeFuiDv4/677C4SmWKJDASg4qmwTu3wVdPwBePqmPNDbDyMbWft1OdA47f5WESGImhRwIjIYaa2XeBwaRad/8qXH39ZzHUdrIuTEMlfPlz+Psc2P0afPtbOL7a8dx7d8DhT2HXq/33PYghRdO0Vhkjo9HA7FSVNerJPKMTJbaMUZvAyGAwEB+mskZF1aqcrqxG5hiJQSRznWNtol2vwqFPYfPfVfUAqLmnejldta2ULlQ60omhRwIjIYaa8OGOrJEuZzO8eQM0t1nsUtPgjetg09/A2gxhw9XxlUvB0gxrn4HaEnWscJ/bhy6GpuLqRirqmjEZDYyKU0GNXk7Xk4Ve9YxRemxwu+fiw9RcoiLbPCPpSicGFb1CIFg1LuHjH8K6Z21P2spKy2zNRyRjJIYwCYyEGIou/hM8mgk/OQ53fQP+4ZCzBT64B6wt5mxkb4bsTeATADe9B/dtgKBoOHVElWBsWe44t2h//38fYkg4ZGu8kB4TTICvCYDTUh3zjKxWrdt7aJpGhi1j1LaUDiBOzxjZS+mk+YIYJEpPOOaU3vIRxE+G+jJoroXkOZB6hnpOD4yqpfmCGLokMBJiqAqKgpBYGDYTrn8djL5w8CP45inHOZv/obZTrlPrIAVGwDlPqmPb/g1WMyTPVY/LMqCxul+/BTE02MvoEsPsxyYkhRHoa6KqwcxxW8DTlaKqRmqbLJiMBlKigto9rzdgKK5unTGSUjox4G15AdBg9GKInwhX/UutUYQBLvw9RI9U55VlqA/GqqT5ghi6JDASQkDamXC5LQha/xxkrIHyLDV3CGDufY5zp38PEqeqfaOvuk7/D7ToYL8NWQwdR1rML9L5moxMTQ4HVNaoO/r8ohFRQfj5tP+vTy+lK65qxGyxUl7XDEgpnRjg6itg12tqX/89Hjce7lwFt6+EpOkQmaaOl2VAXakqm8YAoQmeGLEQHiWBkRBCmXItzLxN7X9wH6x7BjQrpC9S/5HqjCa4+Hk13+icJ9WnjfG2BZiLZJ6RcK1TNY2sP64mhbcMjABmjVDldNtPdh8YZdgbL7SfXwQ4mi9UNdiDIoMBIoMkMBID2IH3Vclc3ARIX+g4njgVUmzZ/qh0tS3PdJTRBceCybdfhyqEN/Dx9ACEEF5k8f+p7kVlJ1p8yviD9ucNmwGPHHA8TpgEx1dBocwzEq7TZLbyg9d2UlLdSHpMMPNHxrR6fmZqJAA7srrvTHfC3nih/fwigLgWzRf0MrqIQF9MRkOH5wsxIORsVdvxl6pIvyN6YFSWIY0XxJAnGSMhhINfMFz5L9XOGyB6NIw6t/vr7BmjPgZGVitUF/btHgPId8dKmPO7r1m5f+h8zz3xq08OsPVkGaH+Prx4yywC/Uytnp+REonBACdL6yipbuzyXifsjRe6zhgVVzXaGy9IGZ0Y8PJ2qu2wGZ2fE2Urpasvh2JbObQ0XhBDlARGQojWhs+Ec38FGGDhY2B04tdEwmS1LToAVkvvX3v3a/DsWNj5397fYwD5y+pjFFU18n+fH8RssXZ/wRCyYkMmb2zJxmCAv9ww3d6mu6XwQF/GxKnyuu7mGWV0kzHSA6PqRjO5ZaptvXSkEwNaYzWcOqr2k7oIjPyCIcQ2nyhrg9pK4wUxRElgJIRo7/QfwRNFMPlq586PHgU+gdBcB2WZvX/dk7b/lHe93vt7dCR/F6x+Cppqe3d9U61aMT57s8uGdPJULdtsc2Nyyur5bF+By+490H20O49ffaI+uX508TgWjYvr9FxnyunqmyzkVahgJz2m44xRiL8PwbaM1EFbe3DpSCcGtPzdgAbhyaoDaVf0cjr9d5yU0okhSgIjIUTHfHrwabnR5GjQ0JcGDPrE39ytUNf9vBGnrXwcvnsWNvyld9dv/Bts/Cu8cS1U5rlkSO/uyAXAz6R+DS9fm4Gmdb8ez2C35kgxP357DwC3zk/l3gXpXZ4/a4QKjLZ3kTHKPKUC4ogg3y7L4/Sskb5ukpTSiQEtf5faJk3v/lw9MGqytb4PTXLPmITwchIYCSFcI8E2z6gvDRj0ib+aFY6v7vuYQJX2Fag32mz/DzQ39Ox6c6NaswmgoRI+vK/1Iri9YLFqvLdTBUZPXjKBID8ThwqqWHu0pE/3Hehyyuq477WdmK0al01L4smLJ2DobMK4jd6Zbn9eJQ3NHZdx6vOL0mOCu7yf3oBBD4yiJTASA1m+bX6RU4FRauvHkjESQ5QERkII14i3zTMq7GXGSNOgKt/x+NhXfR8TqE5LzbYSutoS2P9ez67f/x7UFqv2tT6BkLkWtizv05A2njhFQWUDYQE+XD1zODfMTgFg+doTfbrvQPflgULqmy1MTY7gD1dPxehER7jkqEBiQ/1ptmjsyano8JxtJ1X2cXRcaIfP6/SMUVWDGZCMkRjgnGm8oItqk5mVjJEYoiQwEkK4RkIfO9M1VjkCGIDjX/etkYNOzxbpNv9TBWHO0DTYbFv4du4PVDtzgK9/BcWHez2kd7arbNFl04YR4GvijjPS8DEa2JxRxsH8ql7fd6DbnKECmCWTEjpchLUjBoOB2Wkqa/Sbzw5S3dDc6vn6Jgsf7FLljxdP7fpTcD0w0kWFSPMFMUDVlkJFltpPnNb9+W0DozAJjMTQJIGREMI14ieqbVVe7+YH6WV0fqEQEAH1ZZC7ve/jKtittpOuBt8gNQfq5PrOz1/5OPx5qiqfy1yrMmA+gTDzVph1O4w6DyyNas5RB3ZllzPtqa94eUPHTSgq65v58oBqz33NrOEAJEUEMi05AoCTpb1sEDHAWa2aPbMzNz26R9f+5PyxRAf7sT+vijtf2d6qpO7zfQVUN5hJjgrk9DbrILUVF9o6EJJSOjFgFdjmF0WPgsCI7s+PTHPs+4VAQJhbhiWEt5PASAjhGgHhEDNW7Z/4pufX640XwofDqHPU/rEv+z4uPWOUvgCm3qD2N/2t46zR/vdg89+h/CR89mN4zdaVb+r1EBSlFkg86yfq2IH3oaF9dufVTVlU1DXz9BeHySmra/f8loxSGs1W0mODmTws3H48JECtt13TaO71tzqQHSqsorK+mRB/HyYm9exNWVpMMK/cPptQfx+2ZJbxwBs7aba1P//f1mwArpuV3G1pXruMkQRGYqDK60HjBVDBU5DtAwlp1S2GMAmMhBCuM26J2h76pOfXtlxxffT5ar+v84w0DQr2qv3EqTDnXrV/dCW8cknr+VCVefDpw2p/zAUQGAlWW1mWfh1A8hyIGaNakx94Xx2zWuC7Z7F8s4ziwxswYqXRbGXZF4faDWm/rVROLU7qeKMe7K8Co9ohGhhtsZXRzRwRiY+p5/81TRoWzr+/Pwt/HyNfHyrm0Xf3cqSwmu1Z5ZiMBq6ZldztPdoGRtKuWwxY9sYLTswv0unldNJ4QQxhEhgJIVxn/CVqe2xVz7u/6Rmj0CQYdS5gUIFLT9pjN9XCWzfDmqfV44psaKgAoy/EjofYMbD4d+ATACe/g+VnwhvXwbb/wAf3qK5zSTPgutfghzth4eNw6V8hbpzjNQwGmHGL2tcXot34V1j9FKZ1T/Oa9jjb/e9jsWkbn+8rZNOJ0lZDPJhfCcCkNlmREL8hHhhlqp/TnPSoXt9jTno0/7x5Bj5GAx/syuOWl7YAcPa4uHZBT0fiw1qX0kUGSWAkBqieNF7Q6YGRNF4QQ5gERkII10maAWHDVBOFjG97dq3ekS4sEYJjIGWuery7B4u9bv2XylateRpKTzjK6OIngI/tTe68++GBbTDxSkBT2aPPHlGBkm8QXPkvMPmq0rmFP3MEQS1NuR6MPpC3A3b/D775LQAnQ6ZTpQURZajm8YivAfj1JwcwWxztvffnqYzRpBZldODIGNU0uqDhxABjtWpsyVQZozlpPZtf1NbZ4+J59tqpGAxQVNUIwI22rn/diQt1BE/hgb749iJzJYTHlWdBTSEYjJAw2fnrkueobU+CKSEGGfmtL4RwHYMBxl2s9g992rNr9VI6vb79tDvVdtu/1VpC3WmsgY36Aq6aaqmtB0aJU1ufG5EC17wM922Cs38BKfNU04eLn4OYUd2/VkgsjLWVDX54L1ib0cZdxC2WJ7mwcRkAKXUHGRbQxOHCar7Yr5otnKpppLCqAYMBxie2yRjZ5xi17qo2FBwtrqairplAXxNThod3f0E3Lps2jKcuU10SU6KCOGtMrFPXBfqZCLP9OUjjBTFg6Z00U+aDX7Dz1826HX60C2bf7Z5xCTEASGAkhHCt8bbA6MjnYOlBWZheSqe3iZ1wmQqSaorgwAfdX7/tX1BXCv62gGPX6yoLBJAwpeNr4ieoZgq3r4THc1WTBWe1zCQFx3Fizu/ILq+nxCcea+RIDJqFR0YXA/DNYbU9YJtflBYTbM8Q6UL8TQDUDsGMkT6/aFZqpMuyNN+bO4IPfjCfN++ei8mJ9ZB0esmdNF4QA1JVAWx/We3rjWKcZTCocrpuFlUWYjCTwEgI4Vop8yEwSrXbzt7o/HX25gu2wMjkC7PvUvub/t6+i9zet+G5SbDm91BTAhts2aILf6/mEzXXQo6aY+LUOh49NfJsR4vby/7OykyV6TljVAzGUYsAON2omjusO1qC1aqxP0/NL5qY1D4r4iilG3pzjDZn2OYXpfV+flFHpqdEkhQR2KNrJDASA9qG59VyAslzIX2hp0cjxIAjgZEQwrVMPi260zlZTmdugtoStd9y4u/M21SjhMK9kL2p9TV734bKHFjzO3h+sgrEotJh8rUw9z7HeQajY40lVzKa4LbP4Z51MOZ8Vh0sAuC8CfGQrgKj+JJNhPj7UFrbxP78Sg500ngBIGSIdqWzWjW26vOLerh+kTvoaxlJRzox4LTMFi18TDI/QvSCBEZCCNcbZ+tOd+QL586vKQQ01T0uqMWb46AoR3mbXjevK8tQW/8wMNer/bMeVYHZlGtV1grU2kp+Qb36NroVlgSJUzleXM2e3EoMBjhnfByknQkGE4ay41w8QgU6a4+U2EvpOsoYDdXAaNvJMkprmwj193HJ/KK+mmALWsfGh3p4JEI4oegAfPwj+PAH8Pb3VLYoZZ5ki4ToJZ/uTxFCiB5KPQMMJqjMhspctWhrV1o2XjC2+bxm9j2wYwUc/lw1YfDxV3OXKtTCndz1jeos11SrAiIA30DVvGHdM5A826XfWltWq8Zj76mSubPHxtk6mwXAsJmQu5XLw47xJqP5dG8BWaVqwdeOFjDVS+mqh1hg9OFuNbfsgkkJ+PuYPDwauO30NOaNjGZcQs8WmRWi3zVUwf9ugIqs1sclWyREr0lgJIRwPf8QSJwC+bsgezNMvrrr86tbtOpuK268ygo1VqkW3PEToCpXLb5q8oeokTD/h+2vW/CoWoh15Nl9/3668NqWLLZnlRPsZ+LXl7Uo2Ru5CHK3MqVpJzCaI0XVAAyLCCSyg/krQzFj1Gi28Nle9Wd/xfRhHh6NYjIaOszoCeF1Vj6mgqLwFDjtdnUsaqRki4ToAymlE0K4R8o8tc3e3P25bVt1t2QwqAAH4NRRtdXL6CJT22eYdCZfmHINBLt23sqOrHJ+8s4eVmzIZOPxU/z+i8MA/OzCcQyPbFGyZ5tnFJS7njGxjuMdZYvAkTEaSl3p1hwpoarBTHyYv1fMLxJiwDj4sW2NNwNc+QKc8bD6mnCpp0cmxIAmGSMhhHskz1HzgpwJjOwZo06yBjFjIG97+8BIX6m9n6w9WsI9r26nodnKuzscx09LjeTmOSNanzx8llobqa6Ua8dX8NsSlSVqu7CrLlhv191kRtM0DEOgFObDXXkAXDo1qUcttYUY0mpK4JMH1f4ZD8GI+R4djhCDiWSMhBDukTJXbYsPQENl1+dWdVFKBxBryxiVHFHbsky17cfA6MsDhdz1igqKZqdGceboGPx9jIQF+PD0VVMwtn1jb/KF1NMBODvouP1wZxmjUH9fQHUlr2sanFmjqoZm/v7tcbZmllHV0Mxq2/pOl03zjjI6IQaEI5+pLpyx42Hh454ejRCDimSMhBDuEZqg1vkpz4TcbTDq3M7P7aqUDlRnOYBTbQOjNNeMtRt7cir4wes7sVg1lkxO4PnrpuPnY6TRbMFqhUC/TpoGDJsFR1cyouEwkUFTqWuyMGV4RIenBvgaMRrAqqm1jNouADsYPPXJQd7dkQuouVZNZiuj40I6DRaFEB04dUxt0xeCj7SVF8KVJGMkhHAfZ+cZ2Uvpkjp+PlYPjI6D1dqilK5/AqNXNp3EYtU4d3w8f7leBUUA/j6mzoMigGHTATAV7OKde+fz7r3zibWtk9OWwWAY1Iu8ZpXW8oGtdM7PZCSvQrVYv3z6sCFRNiiEy+i//6JHenYcQgxCg+8jSSGE90iZA3ve6Dow0rTuM0YRI8Dkp9YrqshSWSjol1K6mkYzX+wrBOC+hSPxMfXg86REFRhRdoJRoWYIjOjy9BB/H6obzIOyM93fvjmOxaqxcGwsf7h6Kq9uOklOeT03zx3R/cVCCIfSE2orgZEQLieBkRDCffSMUe52sDSreTdt1ZerRQmh88DI5KPa0JYcgsy1YG4Ao49qU+tmn+8toL7ZQnpsMDNSInp2cXC0CuoqsqBgd7dtdEO8PGNUWtNIYVVDj9tZZ5XW8r4tW/TgOaOJDfXnkfPHumOIQgxuVkuLD4YkMBLC1dxaSldWVsZNN91EWFgYERER3HHHHdTU1HR5zcKFCzEYDK2+7r33XncOUwjhLjFjIDBKZXoK9nZ8jt54ISgafAM6v5fegOHISrWNSFEBk5u9syMHgKtnDu9dydewGWqbt7PbU+2ldA3eGRjd/eoOLv7rejJKuv493paeLVowJpbpKZFuGp0QQ0BlDlia1Bpu3S2cLYToMbcGRjfddBMHDhxg1apVfPrpp6xbt46777672+vuuusuCgoK7F/PPPOMO4cphHAXg8HRne6TH8FrV8N7d0L+bnWsoRK+ekLtR3RTUqU3YMhYo7b9UEaXeaqWbSfLMRrgqhm9fBOSZCuny28RGGkaFO6H9c/B+3fbu+3ZF3lt8r7AyGrV2JdXiabBwYIqp6/Lq6h3ZIvOHe2u4QkxNOhldFFpYOxifqMQolfc9nHroUOHWLlyJdu2bWPWrFkA/PWvf2XJkiX88Y9/JCmpk0nWQFBQEAkJCe4amhCiP6UvgiOfQ9F+9QWw712YdiPk7YCSw+AbDOc82fV99EVezWrSfn8ERu/ZOqidNSaW+LAuslldSbJljPRgsKYY/nu5amOuq6+Am962r2VU44WLvJbUNNJktgKQU1bv9HUf7MzFYtWYmx7FDMkWCdE39sBIyuiEcAe3ZYw2bdpERESEPSgCOPfcczEajWzZsqXLa19//XViYmKYNGkSS5cupa6urtNzGxsbqaqqavUlhPAis26Da1+Fy/6hviZdDWhq1faSw2pe0e1fwMhFXd9HL6XTuTkwqm+y8N5OFRhdMzO59zdKmgYYVAlMTQl896wKinwCYeTZ6pzjq6Aq315K543NF7LL6jrc74qmafZOdL3OuAkhHMqk8YIQ7uS2jFFhYSFxcXGtX8zHh6ioKAoLCzu97sYbb2TEiBEkJSWxd+9efvazn3HkyBHef//9Ds9ftmwZv/71r106diGEC5l8YcKljsfTb4I598Jq27/bK16AcCcW+IweDRgATT2OdF+rbotV48E3d1FQ2UBMiD/njI/r/qLO+IeqbNepI2phxu0vq+M3vqmaMby8BLI2wO7XCfW/EPDSwKjUEQzlljsXGO3Pq+JESS3+PkYumCRVAEL0WaltsWgJjIRwix5njB577LF2zRHafh0+fLjXA7r77rtZvHjx/7d33+FRldkDx78zk95JTyAQQoDQu1QFpKooKrCouIi7dl27rr2suqiru/5QV9dVwd67qyC9g7RQA4QSQkkP6ckkmbm/P96ZSQJJSMLMZJI5n+fJk8nMnTvvTS7DnHvec1769evHnDlz+PDDD/nuu+84fPhwvds/+uijFBYW2r6OHz/e4tcWQjhJ3DCY97P6akpQBODlByG1MjcOzBj9/ZcUftuXhZdBz1vXD8bH8zzn8lvrjH57UnXg6zwSuo5V9w2eq75v/wh/L/WWXOyCzRdqZ4mONzFjZM0WTeodRaBPPR0JhRDNI1PphHCoZmeMHnjgAebNm9foNgkJCURHR5OdnV3n/urqavLz85tVPzR8+HAADh06RLduZ78ReHt74+1d/4KJQoh2JrwHFKQDOuhg3/VvCsuq+D0tn2X7svhiq7rA8sofBjAsPvT8d95xMOz6HIyWqb7jHlGNKQB6XQG/PAwFx+hZngwEu2TGqHYwdLKgHJNZw6BvuEtftcnMjztVx8GrBjUx+BVCNKy60vL+B4Qltu5YhGinmh0YRUREEBERcc7tRo4cSUFBAdu2bWPIkCEArFixArPZbAt2miI5ORmAmJgG1jcRQriP8J5waBkEx4GH/S6I/JB8kge/2kmVSbPd99CUnlwxoOEmMc1ibcAAdbNFoDJh/WbC1vfol/0j8EeX7EpXO2NUZdLIKqogNsS3we3XH84jt8RIBz9PLupx7v8zhBDnUHAMNJNqVhMoU1OFcASHNV/o1asXU6dO5eabb+b3339n/fr13HXXXVxzzTW2jnQnT54kKSmJ33//HYDDhw/z3HPPsW3bNtLS0vjxxx+ZO3cuF110Ef3793fUUIUQbUVUb/U93H5XSzMKy3n8uz1UmTS6hvtz3fDOvHfDUO4YZ8epKtH91LojUDdbZGWZTtclexkhFLtkVzprYGQd+rkaMHxvmUZ3+YBYPA0OXRlCCPdgm0aXcPZ7iBDCLhy6OuInn3zCXXfdxYQJE9Dr9cyYMYMFCxbYHq+qquLAgQO2rnNeXl4sW7aM1157jdLSUuLi4pgxYwZPPPGEI4cphGgr+lytppIkTWvxLoorqjCZNUL8vNA0jSe/30OJsZqBcSF8c/uoRqeHtZinD8xaBGW5dbNFVrEDISIJQ85+huoPctrY2f5jOA8VVSayi40A9I4JYu+pIo7nlzEiIaze7TVNY9m+LACmD7RT1k0Idycd6YRwOIcGRqGhoXz66acNPh4fH4+m1UxdiYuLY/Xq1Y4ckhCiLfPyg/GPtfjpOcVGrnhjHbklRmYPiyMxIoBlKdl4GnS8PLO/Y4Iiq6RLG3+8Q1fI2U+4rpDjLtZ8wdqFLtDbg/6dglVgdLrhtYwyCisoNlbjodfRv1OIk0YpRDsnHemEcDiHBkZCCOEqzGaN+79MJqOwAoCPN6XbHrtjXCI9ogJba2iKv8q+hFFEiYs1X7BOm4sL9SMu1A+AE41MpUvNLgGga7i/TKMTwl6kI50QDif/Ywkh3MJbqw+zNjUXX08Dr8wawLD4DgAkRQdyx3gX+KDhrxoUhOsKXa75gnUNo86hfsR1UIFRYzVGqVnFAHSPCnD84IRwF/lH1HfpSCeEw0jGSAjR7m1Ny+efSw8C8Oz0Pswc0okZgztyIKuY2BBfvD3Oc50ie7AERqG6Ypdr152er6bNdQ6ryRgdt0yvSz5ewPXvbuaeCd25+SK1ttQhS8YoMbKVs3BCtCUFx8EvTE0Zrk3TYPfXUHhC/SxT6YRwGMkYCSHatYKySu7+bAcms8aVA2OZNaQTADqdjqToIIJcZeFRS2AURiFVJg1jtet0pqs9la6zJTDKKjJSUWXi/XVHKTFW89W2msW1rVPpukdKxki4uQO/Quaec2+XuQcWDIRP/6ACIausvfDeJPj2JkCDLmNU8CSEcAgJjIQQ7ZamaTz41S5OFVbQNdyf56/qh85V29z6hwMQplOLwJa4UAMG6+KunUP96ODnib+XyrAdyi5hqaX7XGp2CUUVVWiaJlPphADI3g+fXaMCm5PbGt825UcwV0PaWji0XN1nLIGPZ8CJLWrtooufhOu/llbdQjiQBEZCiHZr4fo0lqVk4WXQ88Z1gwjwduHZw7YaIxUYlbrIWkaaptVkjDr4otPpbNPp3l9/lPIqk2U7SE4vIKfYSFFFNXqdar4gRLtWVVE3w1Pbya2Wbcrg09mQf7Th/RxeWXN71Xy1z7WvQnEGdIiHu7fDRQ+CZ8OLKgshzp8ERkKIdmnfqSLm/5oCwOOX9aJPbHArj+gcatUY6TC7TGe63JJKyqtM6HTQsYP6UNbJ0oDhh+RTALY259vTT9um0cWH+btG7ZYQjpK+CV6Mg3fGwrENZz9eewpdaQ58MhPK8s/erqKwJqNk8FIB1ZZ3YeMb6r4pf4fAaPuPXwhxFgmMhBDt0oLlqVSZNCb2imLuyC6tPZxzs9QNGDATQonLdKazZotignxsgY61zshkVlfK5wxXC9JuTy+wTaNLlPoi0d5teB1MlZCxExZeAl/eAJW1ujVm7lbfJzwNwXFqHaKFl8DpY3X3c3QtaCbVbe6CW9R9vzyo9p0wHnqeYw00IYTdSGAkhGh3juWVsmRfJgAPT+3punVFtRk8wScEUHVGrlJjZF3c1Tp9Tt2umc7TOyaIPwyNA2BH+mkOZFkaL0h9kWjPirNUYwWAPleDTg/7voff31H3aRpkWQKjxIkw52sIjIGc/fDuBDhRq+boiGUaXcJ4GHU3eFj+fek94JKXpKZICCeSwEgI0e4sXJ+GpsHYHhGtv3Brc9SqM3KVqXS11zCysq5lBDB9YCxJ0YH4eRkorqi2NWPoLq26RXu281OV5el0AcxaCJOeU/cfXaO+F55QU+T0HhDREyKT4KblEN1PTatbdCkc36K2tdYXdRsPgVEw/Fb184jb1XOFEE4jgZEQol0pLKviy62qdfTNFya08miayVpnRJHLrGVkqxmq1Uihc1hNYHT5gFg8DHr6d1I1XLklRkCm0ol2TNNg+0fq9uA/qu/dxqvv6ZvAVAVZlvqiiCTw8Fa3gzvCjYuh2wSoroBvb4bsFMg/DDoDxI9R2014Cv68DCb+zXnHJIQAJDASQpwnTdMoLK9q7WHYfLYlnbJKE0nRgYxObGPrfdRq2e0qGaMdx08D2AIfUOsT/XlMVx69JInYEDXtZ3DnDrbHdTroFiGBkWinjm1QwYxXgJpGBxDRC3xDoaoUTu2oabwQ1bfuc70DYOb7qubo9FH4ZJa6v9NQ8LH8G9MbIG4Y6OUjmhDOJv/qhBDn5Z9LDzLg2d9Yfyi3tYdCZbWZRevTAPjzmK5to7aotlpT6VyhXXdOsZHj+eXodDAgLsR2v06n48lpvbl1bDfbfbUDo04dfPH1ko50op3aYckW9blKBTqggpj40ep22lrI3KVuR/c9+/m+IXDV24AOCi0LIyeMd+SIhRBNJIGREKLJFu/J5PejNe1mS43VLLQEIov3ZLbSqGp8viWdzKIKIgK9uWJgbGsPp/ksgVEYhZQYWz8Ll3y8AFAZoiAfz0a3HdQ5xHZb6otEu1WWD3u/V7cH31D3sfgL1fe0dTVT6c7MGNm2HQOj/lLzczcJjIRwBRIYCSGa5JPNx7jt421c/95mThaUA/DjzlO2KV87TxSc92ucLCjnlSUHOGSpa2mOEmM1/7csFYC7L05sm2vo1JlK1/oZox3pahrdoLgO59gSwgK8ibfUHnWX+iLRXm18A6rLVROFTkPrPmatETq2sWYx1+h+De/r4icgcRIkjIOOQxveTgjhNBIYCSHOaW1qDk/9sBdQ09VeW3oQgE83p9u2SckooqKq5R/mK6vN3PTBVt5YeYgr3ljHTztPNev576w+TF5pJV3D/bnmgs4tHkersmaMdK7RfGFHegFQNxvUmKl9YwAY0z3cQSMSohWV5cPm/6jbYx85u412RC+1Hll1OaCp9tz+jfxb8PCG67+GuT+AwcNhwxZCNJ0ERkKIRh3KLuaOT7ZjMmuMSAgF4JvtJ/h2+wl2nyzEy6An0MeDKpNGSkZRi1/ntWUHbc8vqzTxl8928OxPe22LiDYmu6iC/65VV2gfntITT0MbfWuzTaVr/cCo2mS2ZQEHdT53xgjggck9WP/IxVzYPcKBIxOilWx8AypLVBYo6bKzH9frocvomp8bmkYnhHBZbfTTgxDCGTRN457PkymuqGZYfAc++NMFTOkThVmDh75WxcVT+0YztIv64LzTUpPSXNuO5fP26sMAvHndYG4fp4r6F65PY9GGtEafazZrvPjrfsqrTAzqHMLUvtEtGoNLsFxdDtcVtnpXuoNZJZRVmgjw9mhy621Pg56OIb7n3lCItuZc2SIra50R1N94QQjh0iQwEkI0aHv6afaeKsLHU89b1w/B28PAQ1N6otdhy+Rce0FnW8eynScKm/0aZZXV3P/lTswaXD24I5f1j+GvU5N49oo+APxjyX6O5ZXW+9wSYzW3f7KNb3ecBOCxS3u1vU50tVkyRsG6Mioqylt1KNY23QPjQjDo2/DvVAh7OFe2yMpaZwSSMRKiDZLASAjRoE82qRqiy/vHEh6gFilMjAxk5pBOACRE+DMiIbQmMGpBxujb7Sc5lldGbLAPz1iCIYA/jujCyIQwKqrMPPLNbjSt7pS6Y3mlXPXmepbszcLLoOflGf0ZFh/agqN0IT4haDrVNMKj4jRHc0u57aNtLNnr/I5/za0vEqLdMptg2wfq9kUPN5wtArWga3Ac6D3Obs4ghHB5Uu0nhKjX6dJKft6dAcCcEV3qPPbIJb0w6PVcNagjOp2OAZ1CADiSW0phWRXBfo23dq7tq20nAPjTmK51WkLr9TpenNGPqa+tZeORPD7ZnM71lnHsPVXIDe//Tm5JJVFB3rx1/ZA66+i0WXo9Jt8wPMqy0UpzmPnWBvJKK8kpMTKlj3OnCNo60klgJNxd+iYoywWfEOh5SePb6vXwx++hLA86xDthcEIIe5KMkRCiXt9sP0FltZm+HYMY0Cm4zmOh/l7Mv7ofF3QNtf3cOVS1at51sqDJr5GaVczO4wV46HVcOajjWY93CfPnwSk9AXji+z3c/OFWvtp6nGv+s4nckkp6xwTx011j2kdQZGH2U3VG/tWnySutBCDf8t1ZCsuqOJyjpi8ObEKrbiHatZSf1Peel4KhCRd9whOh83DHjkkI4RASGAnRxp1Pi+zaSozV3P9lMi/+up+TBeV8YmnFPWd4lybV7bRkOp01WzQ+KdI2Ve9M80bFc82wOHQ6WLovi4e+3kWxsZoLuoby+a0jiAzyafLrtQW6Wp3prE0PTpc5NzBKtnSjiw/zI9Tfy6mvLYRL0TTY/7O63Wta645FCOFwEhgJ0QbtzyzixV/3M+Vfa0h6cjGvLTt43vv8eutxvt1+krdXH2bMSys4mltKgLcHVwyIbdLzrVml5ONNa8BQZTLz7XbVNMFas1Qfg17HizP6s/S+sVw1qCN6HUztE82Hf7qgztS79sIzKBKASxIMLLpxGACF5VVNaltuLzXT6CRbJNxcRjIUHgdPP+h2cWuPRgjhYFJjJEQbsz+ziCteX0+lyWy775PN6dx9cXf059E9bGlKFgAdQ3w5WaA6ol09uCP+3k17mxhoyRglHy9A07RzZplWH8ght8RImL8XFydFnnP/iZEB/Gv2QOZf3Q8fT0OTxtQmWTJGU7oYqLJkwzRNBUfOyt5stzReGCz1RcLdWafRJU4ET2lFL0R7Jxkj4XDvrzvK5a+vY21qTmsPpc3TNI3nf06h0mRmYFwIr80eSIC3BznFRttinC1RWFbFpiP5AHxy03B+uftCnr2iD3+dmtTkffSJDcag15FbYuSV3w5QWW1udPuvth0H4MpBHZu1IGu7DooA/MLU99JcPA16Ai2BqaOm0320MY2r/r2e7KIKQK0LlSwZI+Guqith1Uuw60swmyHFOo3uitYdlxDCKSQwEg61eE8Gf/t5H7tPqi5ib606fFbbZdF0K/Zns+5QLl4GPa9fO4grB3VkbA+VYVi6L6vl+z2Qhcms0TMqkPhwf3rHBnHDqPgmZ4sAfL0M3DSmKwBvrjzMFW+sY39mUb3blhqrWbE/G4BZQxueRueWLBkjStWFhBB/NV3wtIMaMPxnzRF2pBfY6r2O5JZSVFGNj6eentGBDnlNIVzWjg9h1d/h25vh7dGQewD0ntBjcmuPTAjhBBIYCYc5mFXM/V/uBKB7ZABmDV5avJ+/fLbDqfUS7UVltZkX/pcCqNbWcZYucJN6RwGwLKXlgdFve9VzJ/eJOq8xPnppL96aM5hQfy/2ZxYz57+bySsxnrXd1mOnqTJpdAzxJSk66Lxes92xBkZluQCE+qnpc6fLquz+UqdLKzlxWk2bXG45f6z1Rf07hjQrkydEi1UUwakdrT0KZfuHlhs6yN6nbiaMBZ/gBp8ihGg/5H894RCFZVXc8uFWyipNjOoWxq/3XMgLV/XF06Dj510ZvLv2SGsP0eVpmsYXW9K58s31/PG9zfz5gy0cyS0lPMCLO8d3s203vmckBr2Og1klHMsrbfbrVFSZWH1QZScm9z7/tXIu6RfDb/ddRI+oAPJKK3nmp31nbbPpSB4AIxLCzvv12p0zM0a2wMj+GaM9p2oaZew4XkBuiZEdlq6Csn6RcIqyfHh3ArwzDvb/0rpjydipvgxecMcmGHwDBMbCqLtbd1xCCKeRwEiclyqTmbnv/86FL68gs7DCdv/8X1NIyyujY4gvb1w3GA+DnjnDu/Dc9L4AvPLbAfadqn+alYDiiiru/jyZv36zm+TjBaxNzWVtqsogPDC5J4G1urEF+3ky3LKeUEum060/lEtZpYmYYB/6drRP9iY8wJtXZg3AoNfx085TLNmbWefxmsAo1C6v1674q3WMKLVkjCwNFxwxlW73yZrASNNg1YEcdlgaL0hg5Cay98N3t8GJbc5/7WojfHE95Fq6aq78u6rraS3bP1Lfky6DyCS4YgE8kKIyRkIItyCBkTgvr/52kDUHczieX85j3+1G0zSSjxfwxVZVWP/aNQPrdNKaPSyOib2iqDJp3P9lst3W4GlP8kqMXPHGen7aeQqDXsd9E3vwj5n9uXdid564rBezh8ad9RzrdLrfWhAYWafRTeod1aT1ipqqf6cQbrkoAYDHv9tDgSXjUWqsZtcJ9YFcMkb1sGaMqsrAWEyIn6XGyAFT6XZb/g7Wf6M/7jzFAUtdmDRecAOVpfD5dbDzM/j4Ksg54LzXNpvh+9vh2HrwDgKvQMjaDQf+57wx1FZVrhouAAye2zpjEEK0OgmMRIutPpjD26sPA2qtmRX7s/lm+0me+mEPmqZaPQ+Lr5sR0Ol0vDijH+EBqgbl/5antsbQXdrnW45zNLeUmGAfvrx1JPdM7M6soXHcO7EHN12YUG9L7om9VGC0NS2f/GZkFrYdO81iSzbHHtPoznTPhO4kRgbYOtVZX9NkVvVF1jopUYt3gPqQCFCcRQc/x2eMbr5QBbBrDuZg1lTL9qh2tnCuQE0TO7JKpQcBljwO+eo9nIpC+HgmFLe8VrFZkj+GPd+oxgazP4IRt6n7V73UOlmjlJ/AWAjBnaHrOOe/vhDCJbhlYCRd0c5fdlEF93+RDMD1Izpz/6QeAPz1m13sOlFIgLcHj1xSf6vn8ABvnrmiDwA/Jp9yynjbkp93ZQAqqBjSpWlX7eNC/UiKDsSswX/WHD7n9pXVZv6xZD+z3t5AYXkViZEBDHfAtDYfT4Nt+uSXW06QXVQh9UVNEWhpglGcQQf/86sxyiqqIC337Nqz2o0Xrr0gjohAb9tjA2UaXfuzdSG8Mx4+nA6LpsHGN2HbQvXYzIUQmgCF6fDpLJVJcrQDv6rvFz0ICeNgxB2tmzWyNl0YdD3o3fKjkRACNwyMlu3LoucTi/kh+WRrD6XNqjKZueuzHeSVVpIUHcgTl/Xm1osS6Ncx2NZt7t6J3YkMbPiK85hEVUdxsqCcEmO1U8bdFhzOKSElowgPvY6pfZuXwbl9nGrI8J/VR/hgQ1qj2/7t5728ufIwZg2uGtSRb24f5bAOZCMSQhnapQOVJjPvrjsq9UVNERijvpdk0cEyla6gBVPpzGaNmW9vYMpraziUXVLnMWvjhfgwP0L8vLi4Z80iu4Msi/WKdsBsht+egJ/vBc0EOj0cWwdLHlOPj7gT+l4Nc75Wa2hl7ITfnqx/X/v/B+9Nhoxd5zkmk5pCB9Dd0gbbL7RW1uhF52aN9v0IaWvV72bgdc57XSGEy3FYYPTCCy8watQo/Pz8CAkJadJzNE3jqaeeIiYmBl9fXyZOnEhqqn2nWi3ccJRKk9l2VV4033M/7+P3o/kEeHvwxnWD8fE04GHQ849Z/Qnw9qBfx2BuGBXf6D5C/LxsV6jP/MDmzn7eqc7LMd3Dbd3Immr6wI62zN0zP+3l510NZ+NW7lcdz56/si//mj2QYF/PBrc9XzqdjjvHJwLw8aZjUl/UFAE1GSNru+78FmSMDuWUcDy/HGO1mX8tO1jnMes0ur4dVRviCb1qBUZSX9R+LHkMNryubo97DO7ZCX1nqJ+j+8GEp9TtsG4w8311e+t7cHBJ3f2krYev5sHxzbD6pfMbU9YeNXXPOwii+9fcb8sa7YH9P5/fazRVcSb8dI+6PepuCDm7hlMI4T4cFhhVVlYya9Ysbr/99iY/5+WXX2bBggW8/fbbbN68GX9/f6ZMmUJFRcW5n9wEBWWVbDqSD9DgwpOicV9sSefDjccA+NfsgSRGBtgeS4oOYv0jF/PVbSOblH3oEaWeezCr2DGDbYOswcy0/rEtev5fLk7kjyO6oGlw/xc7OZxzdtBZaqzmZIGaQnVpv5iWD7YZxvWMoFdMEGWVJqqlvujcAi3ZwuJMW4Bc0ILAaEtavu32/3ZlsKdWFzrr7X6WwGhM93AiAr2JCvKmT6ysLdUuZOyEzW+r21f9B8b9FUI6qwDo3j3wp9/As1ZmP2GcyiAB/HAnlKgLKOQcgM+vBZPlHDy4GEqy676WqRqObYT1CyD/aOPjSlunvnceCYZai0jXzhqtdkKtkaap4yzPVwHa+Mcd+3pCCJfnsMDo2Wef5b777qNfv35N2l7TNF577TWeeOIJpk+fTv/+/fnwww85deoU33//vV3GtDwl2zbV63i+TOFqrhX7s3jy+70A3D+ph60TWm3Bvp74eBqatL/ukarAPFUCIwAOZBaTml2Cl0Hf4oVWdTodz1zRhwu7h1NpMvPMj3vPqqk7kqPqB8L8vep0DHQknU7HHeNq1l6SbNE5WKfSFWfSwb+mK11z6yO3pqnFWr081Fv9q7/VdB2zZu6sgZGflwe/3H0h/7v7wib/GxYuTNPg178CGvS5GgZcU/fxkDjwqufixISnILK3Wkfr/SnwwRWqJqmiEDpdADEDwVytOtkBmKrgfw/APxJg4VRY+iQsugyKGqkftQZG8WPOfmzEHSqT5Iys0YbX4dAy8PCBq/8LHs55PxRCuC6XqTE6evQomZmZTJw40XZfcHAww4cPZ+PGjXZ5jTPXUjmQKR/IG7I2NYdXlhxg5/ECNE1j4fqj3PTBVipNZi7pG81dlqlR56O7LWMkU+mgJlt0UY8IgnxaPrXNoNfx3PS+eBn0rE3NPauFd2q2Ou9rZ/uc4dJ+MXQN9wdgdKIERo2qlTGydqUzmTWKKpp3MceaMXpyWm889DpWHshhS1p+ncYLfSyBEUBEoDfhAd717ku0MXu+gfSN4OELk59r+vM8feDqd9Qip/mH4ehqKM1WzRmu/RyG/kltt/0jFXytfhm2vKsCJ98OKqgvOgmf/AGM9fwfW7u+qL7AyC8Uhjsga1ScVTMesxmWPq2COICJz6p1i4QQbs/j3Js4R2amClqioupeKY+KirI9Vh+j0YjRaLT9XFRU/xS58koTa1LVtIDYYB9OFVawP7OoyV2/3MmqA9nc9MFWqs0ab6w8RFSQN1lF6nc8e2gcz1/Vt96W0c3VI0pljKTGSGVMrXVvlw84/+lt8eH+3HxRV95ceZjnft7H2B4RtixAquX3bQ1MncWg1/HfuUNZm5rD9IEdnfrabY41MCrJxMfTgK+ngfIqEwVllU2uB8ssrODE6XL0OtVgIyWjiE83p/PnRVtsdUXxYX4OrS8TreT0MVhqqR268H4I7tS850f3g5tXQnaK+llvgMSJ4BOkGjUsfhTyUmHDAlj7itrm8gWqo1vhcXh3kuou9+VcuOL1uq/fUH1RbSNuV1MAs/bAjg9h0B/VGJqiLF9N9TNVqsAtNxUOLVWLyOo9ofMIMHjC4RVq+7F/heG3Nu/3I4Rot5qVMXrkkUfQ6XSNfu3fv99RY63X/PnzCQ4Otn3FxdVfOLn6YA4VVWY6hvhy+QBVv7E/QzJGZ9p27DS3fbyNarNGUnQgPp56soqM6HTw6CVJvDijn926l/WwTKVzx850Zx7vD8mnOJpbip+XgQm9WjaN7kx3jk8kJtiHE6fLbetNAaRaMnSJEc4NjEBlqW4c3RWDHQLrdi2gJmMENQuwNmeNqq3HVLaoV0wQAd4e3DOhO/FhfhRVVLPhsOoM2LdWtki0cZoGa/4Bb1wA/9dfZW1COsOov7Rsf9F9of8s9dX3ahUUAXgHQt+r1O2lT4Fmhv6zYcgNKnjpEA/XfQGefir4+FcfeHOEGpupuuH6otpqZ41+ugf+kQjf3np2XdOZsvbC2xeqhWN/ukd14tv0pgqK0IG5SnWfO7xCZcSuegfGPwZ2XNhaCNG2NStj9MADDzBv3rxGt0lISGjRQKKj1QeBrKwsYmJqrphnZWUxcODABp/36KOPcv/999t+Lioqqjc4+s0yjW5Kn2h6xag3eGnAUNe+U0X8adEWKqrMjO0RwX/nDqXSZGbF/myiAr0Zbue6kGA/TyIDvckuNpKaVew2nbB+2nmKv3y2gz+N7sqT03pRWmni77+oK7N3jk8kwNs+iVw/Lw8evbQXd3+2gw82pHH3xd3R63W2hgzdLRk74YKs6xhVloCxmBA/T04WlDerZbe1vsi6yHJUkA/L7h/L9vQClqdksS+jyLawq2gHsvbAiufVbZ0B4i6AqfPB09f+rzX4BtjxsbodHAeX/qPu4x0Hw3VfwvK/wcmtkJOixnZsg6pPgvqn0dU25l4ozlCttMvzYdfn6vucr+rfPnWZ6ppXWawCwihLfbN/GHSboBpLlOWpmqKT22HojSp7JIQQtTTrE1hERAQREREOGUjXrl2Jjo5m+fLltkCoqKiIzZs3N9rZztvbG2/vxufEV5nMLEtRdRZT+0YT5KsOe39mMZqmoZOrRaw6kM1dn+6gxFjN4M4hvHX9YLw89Hh56LliQMs6pDVFj6hAS2BU4jaB0Y87VS3R++uPEuLnSVmliexiI13C/PjzmK52fa1L+kbj72XgdFkV+zKKSIwM4Fiear7Q3ck1RqIZvAPBK0AFRsVZtjqj5mSMrPVFQ+Nr/l15GPRc0DWUC7rKGlLtTuYe9T12EPzxO1Xv4yidhkHsYMjcDVe9DT71ZB67Xgg3LVVT21J+VNPvrNPX4NyBkZc/TH8Dpr2m6pw+nQ2pv6k24j2m1N32yCr49A9qnab4C2H2R/Ufv2+IaksuhBANcFjzhfT0dJKTk0lPT8dkMpGcnExycjIlJTX1JElJSXz33XeA6lp177338vzzz/Pjjz+ye/du5s6dS2xsLFdeeeV5jeU/qw9TVFFNeIAXQ7p0ICE8AA+9juKKak4V2qcVeFtzurSSLWn5rD+Uy9urD/PnD7ZSYqxmREIoC+ddgJ+Xc8rPrA0A2mPLbpNZ4+ddp1i8p2bNLLNZ4/ejNS2U/7n0IP9dewSAJy/rbfduYJ4Gva0D3LpDuRzNLcWsQZCPh20dKeGibA0YMuhgmUp3uoktu4srqkjJUBnxoV0kCHIL2apjKB2HOjYoAjX1bO4PcPeOcwc4fqEwZB7c+EvNFNHG6ovOZPCAxAmq7ghUgFVdU1dMdSX870EVFPW5Gq7/1vHHL4Rotxz26fepp57igw8+sP08aNAgAFauXMm4ceMAOHDgAIWFNetqPPzww5SWlnLLLbdQUFDAmDFjWLx4MT4+PrTUb3szeeU3tbDhA5N7YtDrMOh1JEYGsD+zmP0ZRXQMccBUAxdWYqxm8mtryCk21rl/xuBOzL+6n621rzNYGzCktrMGDGtTc3jhfynst3Q+XHzvhSRFB7E/s5jC8ir8vQzMHRXPW6sOYzJrjOsZUWeBTXsa0z2c5fuzWZeaS6zlXO8eFSiZUlcXGAN5h6Akiw5+6oNeU6fS7UgvwKxBXKgv0cEtf/8UbUjWPvU9qrdzXs8nqKbuqCliB8HNy2HxI9B1bMP1RQ256CHY+bnqlLfpLTXVDuD3d1QjCP8IuPw1abkthDgvDguMFi1axKJFixrd5sw1OXQ6HX/729/429/+Zpcx7M8s4r4vkgGYO7IL117Q2fZYUnSgCowyi5td7F5cUYVBr3NaVsXePt18jJxiI/5eBjp18MPbU02X+/OYrk7/sGxd5LW9rGVkrDbx+Hd7+HrbiTr3/7I7k6ToIDYdUUXvQ+NDeXhKT6otNVzPXN7HYb/7MYnhAPyelm9buFOm0bUBAZb3peIMOvj1Z6x+J3/c8Tj0/xBiGr/avtUyjW6YZIvcR7YlMIrs07rjaExwJ5j9ccue6xMEk55VjRXW/AOCOkLXi1RLb4AJT9c/pU8IIZqhbX6yb4Jqk5nbP06mtNLEqG5hPDmt7lW0pJggSD5lm27SVIVlVYx7ZSXhAd789Jcxrb4QoqZpHMsro7SyGmO1mfgw/0YX7ayoMvHftWpV8qev6MMfhtbfxc9ZrA0AThVWUFxRReA51u8pqqhifWouk/tEu1xns4KySm79aBubj+Zj0OuYO7ILHUN8ef5/Kfy6O4P7J/WwBUYjEsLQ6XQ8fllvHr/MsVd4EyMDbC3Xv9l+wnafcHG11zIK8ORGw2KiKo5C8ifnDIz2WTpuDuwc4uBBCpdQlq8aFQBE9mrdsThS/2tU04dj6+Hbm8AnBIxFKhs1cE5rj04I0Q64zAKv9rZkbyZHc0sJ8/fizesGn9Viume0+kDe3EVetx7L53RZFanZJby37qjdxttS83/dz7hXVnHZgnVc/e8NjHpxOduO5Te4/VfbTpBTbCQ22IcrXWAtmWBfT6KCVK1LU6bT/e2nfdz+yXbeWHHI0UNrltwSI1e/tYHNR/MJ8PZg4bxhPH15H2YNicPToCM1u4TUrGJ+t1zJH5HgvCv5Op2O0ZasUW6JqlGRwKgNqLPIqwcD9ZZzPmvvOZ9aYKlFipDFWt2Ddb2h4LjmTW9ra/R6uP4buPgJ8PSHigJ1/yUvq8eEEOI8tdt3kvfXpwEwb1S8rXC5tl7R6j+PI7mlVFSZmrzfnSdqaqLeXHmIrKLWa95wurSSDzemARAe4E2YvxcVVWZu+3h7veOqMpn5j2U9m1vHdnNqLVFjrHVGb6w4xFM/7OH15amYzNpZ25VXmvh1t7oq+uHGtGb93Rztw43HOJJTSkywD1/fPpKLeqjujcF+nrag5LVlqRSUqfoiZ68fc2H38Do/S6vuNiDQsmxBcSaxplOE6FQ3QduH4EYUVahaJFm81U3YptE5qb6oNXn6qnqjv2xTazRN+5dqTS6EEHbgGp+MHeBAZjG+ngauH9Gl3sejgrwJ8fPEZNY41IzC/10nCgDwNOgoqzTx8uID9hhui3z6ezoVVWb6xAax5fEJrHl4PD2jAskpNnL7x9swVtcNHH7aeYoTp8sJD/Bi9rDWnUJXm3VdqRX7s/lw4zFeXXqQNQdzztpu5YFsSivVMeWVVvJD8smztikxVvOf1Yc5nl/m2EGfYcV+1Q7+/kk9SIque8X2kr7qyv//LEHd0PhQuy2S21Sju9UERv5eBmKlIN/1WTNGJZlEF+2uub8s95wLXRaWq8AoSAIj92DNIjqr8YIrCIqByc/D0D+19kiEEO1Iuw2MAGYPi6s3WwRqepE1U9HUwEjTNHZZMkZPWOpCvtl+whYsOZOx2sSiDWkA3HShaprg7+3BO3OHEOTjwfb0Ap7/uebKstms8e9VKlv0pzFdW702qrabL0zgzvHduPWiBFtzgL2nCs/a7uddav0f69S799YdPauBx5dbjjP/1/38c+lBB4+6RnZRBXtOqlq1cT3P7iw3qXfdeqgRdl4otykig3zoaTnfEyMDpCNdWxBQaypdfnLdx84xnc4aGEnGyE20hcYLQgjRBrTbwMig151zscz4MD8AjuXVn11YvCeDPy/awqFsVYd04nQ5+aWVeBp0XHNBHFcPUjU67651fq3RTzszyCk2EhXkzWX9ahZg7RLmz4JrVWv0jzcfY98p9YH9t31ZHMouIdDHgz82kEVrLRGB3jw0JYlHL+1lW0w2JaNu7VeJsZrlKeoq+WuzB+HvZeBgVglrU3PrbGetGdvfzNqx87HqgMpuDegUXO/aQKH+XoysFQwNd2J9UW1jLNPprPV1wsUFWrrSVZbgd2IdAKWa5fyyfhCuh7HaREWVGZCMkVvQtJrple6UMRJCCAdot4HRlN5RxIX6NbpNlzB/AI7llda5v7LazDM/7uW2j7ezfH82b65UmRZrtigpOghvDwNTLVOk0s54vqNpmsa7lkVBbxgVf1at0LiekVw+IBZNgxcX70fTNN5cqQq3542KP2fnt9ZknVaXklm3W+DylCyM1Wa6hvszIiGUWZZuemc2wDico7J/R3JKMNdTp+QIK/argK2+bJGV9Vzx8zLQz8n1RVZ/uTiRW8cm8JeLu7fK64tm8g4EL9UkQ1+gzvMfTaPUY1kNB0bWbJFOB4He7bbxqLAqPKE6s+k9IEz+bQshxPlot4HRvNHx59ymizVjVKsepbzSxOx3NtqmqYHqcFdeaWKnZcpc/07qg23HDmqxzJOny+0z6FqqTOZ67682mfm/5anst9RQzbmg/uzPQ5N74mnQseZgDi8u3s/uk4X4ehq4cXTjWbTWlhSjshlpuaWUV9bUSP20U02ju7x/DDqdjhtHx6PTweqDOXXqiY7kqiDVWG3mZIH9/y5nqqw2s+6QylpdnNRwYDR9YCxje0Rwz4TuTq8vsgrx8+LRS3qd84KBcCHWOiMgk3DWmC1turMbnkpXZK0v8vFE72It7YUDWLOH4T1kcVMhhDhP7TYw6h177qvy8fVkjH7dk8GO9AICfTz479yhxIX6UlZpYmlKFjuPFwAwoFMIAJ1C1AfMvNLKOh/iz9cXW9Lp9eRinvlxb50GCqlZxcx4awOvLUsFVG1RsF/92Z/OYX7MGa6Cpv+sVtmlay/o3OgaR64gwtJdz6zBQcuir4VlVay2NGOYZplq1yXM3/Z32GH5u+SXVpJfWmnblzV75Ehb0vIpMVYTHuDdaCYo0MeTD/50AbeO7ebwMYl2JKAmMDro2ZMDmqVpSvZ+MNd/8aSwvBqQ+iK3Ya03a8/rFwkhhJO028CoKTpbMka5JZWUGNWHCWttytWDOjKpdxTTB6g6ou+2n2DPSTWVrn+c+gAc5OtBgGWqij2zE59uTqfarLFoQxoz39rI/3ZlcNMHW5n82hp2nigkyMeDV2cN4P5JPRrdz18uTrSNz9Og45aLEuw2RkfR6XQ10+ksi+8uTcmiyqTRIyrA1jADsDVqsNZRHTkjEDqc4/gpjjXT6CLk6rywv1oZo2O+fUjTojHpvaG6HE7XX9tYJI0X3Is7teoWQggHc+vAKMjH05ZBsWaNrIFRT0vL5ekDVYZi5YEcSitN+HkZ6B6pPpzrdDo6hlim09kpMMoqqmDniUJ0Ogjx82T3yULu/HQ7y1Ky0DSY1DuK3+4by4whnc7ZWSwswJs7xycCKlsU3UZaNCdZmgNY/xZL92UCMLVvTJ3t+liygtYOdmdmiByVMaqsNrPvVBEbDueyLEW16W5sGp0QLVYrMMoK6osZPaf9LRc4GmjAUNOqW+qL3IKtVbd0pBNCiPPl9v9zdg71I7+0kvS8MvrEBnPAUvRv7dzVPSqQ3jFB7LNkL/rGBtdpvdyxgy8HsortVme0dJ/6oD0oLoQ35wzmvi+S2XuyiBlDOnH9iC4kRgY0a3+3jU1gVLcwese2ndXQrRmjfRlFVFSZWHNQ1fBM7h1VZ7vetTJGmqZxxJIhCvX3Ir+0ksPNWJ+qqTRN49r/bmLbsdO2+zz0OlvHNyHsyhoY6T0pDOkDZJHtm0B4cYpqwNDr8rOeIq263UjOARUg6wzQcUhrj0YIIdo8tw+M4sP8SD5eQFpeGQVllWQVGYG6LY2nD4y1BUbWxgtWNRkj+ywoag2MJvWOJibYl89vGYmmaS1ed0an0zEgLsQuY3MWawOG/RlFrD+US3mViZhgH9vUOdt20YEY9DryStXfzZohmpAUyVfbTjhkKt2qgzlsO3YaD72OruH+BPt6cvmAWIJcuNOfaMOCLTVFMQPw8VVTfzO8E+gNDTZgkMDIjWz/UH3vMQUCJGsthBDny62n0gF0tjRgSM8vtU3d6tTB11abA3DFwFiscUn/M4IMe3amKzFWs/FwHgCTetf8J+dui3EmRgbgoddRVFHNhxuPATCxV9RZvwcfTwPdItTfb++pQlsgNMmSWcotMdo+JNrLW5bW7TeOjmfp/WP5+vZR3DAq3q6vIYRNj6kw9hG49GX8vNR7UrpHvHosO6Xep9RMpZPAqF2rroSdn6nbg+e27liEEKKdcPvAyLrIa1pumW1x0KQzFsCMCfZl9tA4EsL9uTCx7pQpa8boVEHFeY9l9YEcKk1qrZ5uEc2bMteeeHsYbMdv7UY36YxpdFbWOqPk4wWkW9p29+8UQlSQWgjzzIYM52NLWj6/p+XjZdBz04Wu38hCtAOePjD+Ueg4xHax5qje0qI/7zBUnf2+IxkjN3HwVyjLU50LEye19miEEKJdcPvAqPYirzWNFwLP2u7FGf1Z8eA4OpzR7tqWMWpG8wWzWSM9r4z0vDJOnC6ztfq2NhmY1Pvs7Ii76RVT8zcI9PZgREJYvdtZp9f9sjsDk1nD38tAVJC3LbA63+l0pwrKKapQHzT/bVkkd8aQjkQFtY1GFqL98PM2AJBhDgHfDqCZICP5rO2kK52bsE6jG3gdGNx+VrwQQtiF27+bWhd5zSiqYPfJAqCmI11TdLJkjDKLKqg2mfE4x+KdB7OKuffzZFvNEoC3h55xPSPYYJtGV392xJ0kxQRBslrUdWzPCLw86v+9WhswWAOgbpEB6HQ6ukUEsOFw3nl1ptt27DQz396AQadjSJcObD6aj14Ht14kaxEJ57NmjEorTdB9Muz6ApI/hc4j6mxXWGuBV9FOFRyHQ8vV7UHXt+5YhBCiHXH7jFGYvxcB3h5oGuw5qYKVM6fSNSY8wBsvgx6TWSOzqOHpdGazxnvrjjLt9XXsyyjC06DDz8uAl4ceY7WZJXuzKK6oJtTfi8GdO5z3cbV1tf8GjQWKfWLqNsOwZoqstUfn05nul90ZaBpUmzU2H80H4LL+scSH+7d4n0K0lLXGqLTSBIP+qO7c8w0Y657jDp1KV1kKxVn23687K85Uv9emKjgO/7sf0CD+QgiTCzVCCGEvbp8x0ul0dA71s2VwPA2q21hT6fU6YkN8SMsr4+Tpcjp18Kt3u082H+O5n9W6I+N6RvDyzP5EBvqgaRopGcX8uieDDYfzmDmkU5124O6qT2wwHnoder2OcT0b7rYU7OdJpw6+nLA0v0iw/O26RVqn0rU8MFp/SLUJf+zSJPQ6HYdzSrhnQuOL6grhKP6WqXSlxmqIvwhCEyD/COz7vk7WwKFT6b6cC2nr4Y6NENrV/vt3N1n74J1x4OUP4x+DITc2PC2uuhLWvgLr/w+qKwAdjL7XiYMVQoj2z+0DI4D48JrAqFtEAJ7nmA53ptgQXxUYWeqMzGaNarNmm/6laZqtu9pd4xN5YHIPWw2RTqejd2wQvWODeMBeB9QORAR68/68YXh76M/5Aa9PbJAtMLIGRNbM0bG8MqpM5mb/TbOLK2w1ZzOHxNkWAhaitfhbMkZlxmrQ6VTWaPmzsP2jOoGRwzJGVRVweKWqbTq0DC642b77d0d7vwWTEcqN8MuDsOVduPIt6Di47nblp+GLP0LaWvVzl9EwdT7EDHD+mIUQoh1z+6l0AJ1DazJEzZlGZ2Vby+h0OZqmMfPtDVz48gqyi9XUuuTjBaRml+DjqeeWsQlu31ihqS7qEcHwBpou1GbtTAc1AVF0kA9+XgaqzZqtW11zWNum94kNkqBIuAR/S41RibFa3THwOrWw5/FNaqFPoMpkVlPtcEBglL1XBUUA6Zvsu293dXCJ+t77SvANhZz9sPBSSPmpZpv8I/DuJBUUeQXAzPdh3v8kKBJCCAeQwIialt3QvMYLVrU7021JO8329AKyiowsWJ4KwJdbTwBwad8YKYh2gN4x6m+m09U009DrdSRY6oz2nSpq8LkNWZeqptGNOaM9uxCtxTqVrqzShKZpEBitFvYE2PERUDONDiDQx84TAjJ21tyWwOj8FWVA5i5AB5e+Andvh8SJUF2uskM/3QOLpsEbwyAvFYI6wZ+WQN8ZIBfXhBDCISQwoqZlN5xnxqignK+3Hbfd/9nvx9l7qpCfdqruajOHdjrPkYr6DOsaSnSQD+N7RuLjabDdP6Kryja9viKVKpO5yfvTNI11lvqi0RIYCRdhzRhVmzWM1Zbz2bqw546Pofw0RRUqmxTg7XHODpnNVjswKjqhmgCIGodXwrZFoGlN2/7QUvW942AIiFAt2K/9Aob+GdDUvtLWgrka4kbAzcshuq+DBi+EEAKkxgioyTJA/WsYnYs1Y3Q4u4Ttx04D0DXcn6O5pcxbuIUSYzVxob62D+rCvoJ9Pdn46MVnTVG86+JEvtl+goNZJXywIa3Ji7IeyS0lo7ACL4OeYfGhjhiyEM3mVyvoL6s0qYsAiZMgIklNwVr1IoV9HwXgMq8d8PUXMPEZCOlsnwFk7LLc0AGayhqFxNln321d5m749A9gqgRPf+g/69zPsU6j6z655j6DB1z2KkT1hiOrVJON7hNVow0hhBAOJxkjICbYh8v6xzB9YCwxwc1fuLNTiAqsThVWUFppokuYH29fPwS9DnKKjQDMGhKHXrrNOUx9dVshfl48PDUJgNeWpZLdSDv12qzd6IbGd8DXy3COrYVwDg+DHh9P9ZZdaq0zMnjA1BfV7d//S1XGXkbrd/NC1cuqlfdXN4Kp+vxf3FQFWXvV7R5T1ffjbjSdrjgT3hoDb49RjSdqq6qAb25WQRHA0ifPaqF+lmqjCnygbmAEaprcsJtg9scw/BYJioQQwokkMEJ9qH7zusH83zWDWtQYITrYp86U75mDO9EzOpBZQ+Is+4cZQ2QaXWuYPTSOAXEhlBirmf/r/iY9x1pfJNPohKvxt61lVCvY6TYekqaBZqL7hod4y/M1PLA0STi5Fda+ev4vnHNAdU/zDoYB16j72mOdkdkMJ7fDzs+hJEfdZyxR2aCs3Soz9PEM+GQWHF2jWmgv/xvkpIB/hMrOFWfAun+q55YXqGmOBel1Xyd9I1SWgH8kxAx05hEKIYRohEylswMvDz1RgT5kFlWg08HVliDo/sk9SD5ewPCEUFsdknAuvV7Hc9P7cMUb6/lux0kev6wX4QHeDW5fbTKz8YjqSCeNF4Sr8ff2IK+0siZjZDXlBUhdSkjBXtDBAZ8B9JxyC/xwJ6x+CRInQKehatvTaZC6VNUMDb+taXUr1vqi6H7QeaS6nbVXffD3DbHT0bWiylL47UnY9wOUqQsjeAXC2IcgbZ06fr8w6HOVqv1J/U19eQVCpWrrz/Q3VWbtizmw4XXw9IWN/4byfDB4w6i/wJj7wDsADv6mntN9Mujl+qQQQrgKCYzspGMHXzKLKhjdLdwWBEUF+bDkvotaeWSif6cQYoJ9yCis4MTp8kYDo63HTlNcUU2Inyd9OwY3uJ0QrcHPy7rIq6nuAx3iYfQ9sOZlUs0d+bTr33l20Bg4vEJNqfvgChXAmKqgNLvmeQcXw03L1PMbYw2MYgZAYBR06Aqnj8KJLdB9kr0Or/UseUwFPKCCnYBIyD8MS59S93n4qMYIccNg+O2w7l+QugRKLVmlITeqDoGaBgnj4chKWPG8eswnBCoK1OKsm/8DPkFQagm+2sPvTggh2hG5VGUnw7uGotPBjaPjW3sooh5RQap2LLOw8TqjpfuyALg4KRKD1IQJFxNg6UxXVllP3dDYv/Jdt+f5Q+WTePpbmoZc9ioEd4aqUig6qYIinUEtEBreU32w/2QWlOU3/sKZlsYL1rVzrFmj9I12OConM5ZA+mY1bQ7gwK+WoEgHM96Dh4/AXVth+r8hIAr0HjDjXRUUAYQnwpVvwgMH4eaV6jmX/kM9ptPBJS+p4Mq3A1zyD3jokKoX6hCvsktFJ9W0RN9Q6HZxK/wChBBCNEQyRnZy/6Qe3DAq3vYBXLiWmGAfko9DZmF5g9tommYLjCb1inLW0IRoMj/bIq+msx80eLDZbyynOV6zuKtvB7h9nVok1Co0AXyCoegUvDsRcg/C53Pgmk/AzxJQleZB8scQPwZiBtV0pLMFRiNg56ew51vVSMDgCf1nQ2QvBx25nWgafDJTBXQxA2Hsw2q9IICRd0K/mTXbDpqj1gwyFqkM0pn0etVqu+PguvdH9IR7d6ksk5el42mvy6H7FNU90LpIbkgXlT0SQgjhMiQwshMPg16CIhcWbek2mFlkbHCb1OwS0vPL8PLQc1GPCGcNTYgmC7At8lp/p7lCywKvwX61FpL2CYbYQWdvHBQLc76C96dC+gZYMBDGPaqCh9UvQkUh6D1VXUxVKXj4Qnh39dwuo9X300dh4xvq9uZ3YOZ70PMSexyqY+z6sibLlZEMn1+nbkf2gQlPnb29p4/6ai6/etr8e3hBTP/m70sIIYTTyFQ64RaibVPpGs4YWbNFo7uF2RbTFMKV+HlZM0bnCIx8Pet9/CxRfeCP30NUXxUILX4EljyqbvuFgbkK1rysto3uC3pL+/rwRLj6XVXXNPoe6DxKBU+fXweb3gJzrYyWpqnFYCvLmn/AxVmNP16QXve1GmMsrqkZGn0PDJkH6FRmZ8Z/waPh2kMhhBDuQT79CbdgzRhlNFJj9Jt1Gl3vaKeMSYjmstUY1TeVjprAKKipgRFApyFw6xrY8VFNw4CLn4CB18PK51WjAaiZRmfVfxZgWcjUVAW/PKhqdRY/AqtfVvUz3oFwaDkUpqtpfeMfV40KDE34r2ftq6oVdp+r4cp/qy5vVjkHVcOEQ0tVq/LZH8O5llpY8wqUZKrGEeMfV4HQ6HvVY6Fdzz0eIYQQ7Z4ERsItxASrD1VZDSzymlVUwc7jBQBM7FVPPYEQLsDala52xmhH+mlC/LzoGu5fExj5NCMwApUJGjIPBs5RPxssz5/4DIR1h63vwaDrG36+wROmvQbhPWDVS6pF9Z6v625TfloFT1veVcFR90kQ1q3+/ZXmwRrL+kt7v4XCE2qaXvZ+2P8T7PikplZn/88qIBt6o8pObVukankSxkHXi1T26+AS2PRvtf3U+TXZIQmIhBBC1CKBkXAL1ql0GYUVaJp21kK+y1JUtmhAXAiRUismXJT/GV3psosr+MN/NhLs68m6v17c/Kl0ZzLU87xBc9TXueh0qoHBBbfCid/h0DI1fa7beNXFbtcXsPLvKmhZ/Ff1FdVXZXvODFA2vq6m5oUmQFme2t9r/epu0/NSCEuEDQtU9qjLKBX8WNtub35bdZQz15p2mDgRekxt1q9ECCGE+3BYjdELL7zAqFGj8PPzIyQkpEnPmTdvHjqdrs7X1Knyn5g4f5FB6gqxsdpMQVnVWY8v2asCo8m9pRudcF3+Z6xjdDy/nCqTRm5JJUv3ZdkySS0OjOzB4KGClAlPwSUvqvV9fILggpvh7u0w6TmIv1AFLVl74JubwFQreCnNU40cAKb8Hf5ca52loE4qs3XDz3DtZzDxWZUVqiqDty+sabvd+0oI6WwJinTQcSiMewxmLjz3lDshhBBuy2EZo8rKSmbNmsXIkSN57733mvy8qVOnsnDhQtvP3t5SECvOn4+ngTB/L/JKK8ksqqCDv5ftsWN5paxNVQs1XtovprWGKMQ5WTNGpZaMUV5JTZfFheuPomnqdqsGRo3x7QCj71Zfp4/B22Pg5FZVTzTur2oba7YoZoDK7uh0cPsGKM5UGaTagY1eD1e+BW+NUlPmPP3UukJJl1qaPhwD76D6u8QJIYQQZ3BYYPTss88CsGjRomY9z9vbm+hoKX4X9hcV5KMCo8IKesXUrB/y4cZjaBqM7RFB13D/VhyhEI2zBUaWzFB+aaXtse3pBQD4ehrw8mgDDUc7dFEL0H57M6x+Sa3/U3iiJls07tGaIMjLv+F6pOBOajre1vdVM4XYgep+na4m0ySEEEI0gcv977lq1SoiIyPp2bMnt99+O3l5ea09JNFOxNTTma7UWM2XW44DMG90fGsMS4gmqwmM1FS6vFqBkZXLZovq02+W6jqnmeCrG+C3x1W2qOPQ5tUCdb0IZi2qCYqEEEKIFnCp5gtTp07l6quvpmvXrhw+fJjHHnuMSy65hI0bN2IwGOp9jtFoxGismU5SVFTkrOGKNibKtshrTWD07fYTFBur6Rruz9jusqircG22GiPbVDoVGEUGepNdrN4Hg3xd6m29cTodTPsnZOxU2aL40apBwsA5UgskhBDC6Zr1P+gjjzzCSy+91Og2KSkpJCUltWgw11xzje12v3796N+/P926dWPVqlVMmDCh3ufMnz/fNm1PiMbEnLHIq6ZpLNqQBsANI7ug18sHMeHazs4YqWDomgs6886aw1RUmdtWxghU3dGdm0EzyyKrQgghWlWzAqMHHniAefPmNbpNQkLC+YznrH2Fh4dz6NChBgOjRx99lPvvv9/2c1FREXFxcXYbg2g/om0ZI/Vhct2hXA7nlOLvZWDGkE6tOTQhmsTfq/4ao/gwP6b2ieb75FNtLzCC+tuECyGEEE7WrMAoIiKCiAjnTTc6ceIEeXl5xMQ03CnM29tbOteJJrEFRpaM0Q/JpwC4enAnApu7IKYQrcDfW02lK68yYTKrNt0Aof5e3DE+kf2ZxVw5qGNrDlEIIYRosxzWfCE9PZ3k5GTS09MxmUwkJyeTnJxMSUmJbZukpCS+++47AEpKSnjooYfYtGkTaWlpLF++nOnTp5OYmMiUKVMcNUzhRmo3XzCbNVYdUC26p/aVLoiibbBOpQMVHOVbptKF+XvTIyqQxfdexLT+sa01PCGEEKJNc1iV7lNPPcUHH3xg+3nQoEEArFy5knHjxgFw4MABCgsLATAYDOzatYsPPviAgoICYmNjmTx5Ms8995xkhIRdRAf7AlBcUc3WY6fJLTHi52VgaHyHVh6ZEE3j7aHHoNdhMmuUVFTbptKFBXid45lCCCGEOBeHBUaLFi065xpGmnU1QsDX15clS5Y4ajhCEODtQYC3ByXGaj7/PR2A0YnheHvU3/FQCFej0+nw8zJQXFFNZlEFVSb1HhrqL4GREEIIcb5cbh0jIRzJWmf0v90ZAIzrKS26RdsSYJlOl55fZvvZx1OCeyGEEOJ8SWAk3Iq1zshYbQZgXM/I1hyOEM3mZ1nL6LglMJJskRBCCGEfEhgJtxJlWcsIoEdUAB1DfFtxNEI0ny1jlCeBkRBCCGFPEhgJt2LNGIFki0Tb5OdVdypduDReEEIIIexCAiPhVmpnjKS+SLRF/mfUGEnGSAghhLAPCYyEW7FmjPy9DAztEtrKoxGi+ayLvGZYFioOC5DlDIQQQgh7cFi7biFc0ejEcCYkRXJh93C8POS6gGh7rBkjs2W1gzDJGAkhhBB2IYGRcCs+ngbemzestYchRIv5e9VtzS2LuwohhBD2IZfMhRCiDbFmjKxC/WUqnRBCCGEPEhgJIUQb4u9VNzCSqXRCCCGEfUhgJIQQbciZGSOZSieEEELYhwRGQgjRhli70llJu24hhBDCPiQwEkKINqT2VLpAbw+8PQyNbC2EEEKIppLASAgh2hC/WhmjUJlGJ4QQQtiNBEZCCNGGBNSqMZJpdEIIIYT9SGAkhBBtiF+tqXRh0qpbCCGEsBsJjIQQog2pnTGSVt1CCCGE/UhgJIQQbUjtGiNp1S2EEELYjwRGQgjRhtTuSic1RkIIIYT9SGAkhBBtiEGvw8dTvXVLxkgIIYSwHwmMhBCijbHWGUnzBSGEEMJ+JDASQog2JiEiAINeR2JkQGsPRQghhGg3PM69iRBCCFfy/rxhnC6tJDbEt7WHIoQQQrQbEhgJIUQbE+DtUadttxBCCCHOn0ylE0IIIYQQQrg9CYyEEEIIIYQQbk8CIyGEEEIIIYTbk8BICCGEEEII4fYkMBJCCCGEEEK4PQmMhBBCCCGEEG5PAiMhhBBCCCGE25PASAghhBBCCOH2JDASQgghhBBCuD0JjIQQQgghhBBuTwIjIYQQQgghhNuTwEgIIYQQQgjh9iQwEkIIIYQQQrg9CYyEEEIIIYQQbs+jtQdgb5qmAVBUVNTKIxFCCCGEEEK0JmtMYI0RGtPuAqO8vDwA4uLiWnkkQgghhBBCCFeQl5dHcHBwo9u0u8AoNDQUgPT09HMevLMMGzaMLVu2tPYwANcaC7jeeEBdWYiLi+P48eMEBQW12jhc6XfjSmOpzZXG5SrnjZUr/W7AtcbjSmOR86ZxrjQeVxqLnDeNc6XxuNJY3PW8KSwspHPnzrYYoTHtLjDS61XZVHBwsEv80QEMBoOMpQGuNp7agoKCWnVsrvS7caWx1OaK42rt88bK1X43rjQeVxqLlZw39XOl8bjSWKzkvKmfK43HlcZi5a7njTVGaHQbJ4zD7d15552tPQQbVxoLuN54XIkr/W5caSy1ueq4XIGr/W5caTyuNBZX42q/G1cajyuNxdW42u/GlcbjSmNxNa74u9FpTalEakOKiooIDg6msLDQJaJh0fbIOSRaQs4b0RJy3oiWkPNGtIS7njfNOe52lzHy9vbm6aefxtvbu7WHItooOYdES8h5I1pCzhvREnLeiJZw1/OmOcfd7jJGQgghhBBCCNFc7S5jJIQQQgghhBDNJYGREEIIIYQQwu1JYCSEEEIIIYRwexIYCSGEEEIIIdyeSwZG8+fPZ9iwYQQGBhIZGcmVV17JgQMH6mxTUVHBnXfeSVhYGAEBAcyYMYOsrKw629x9990MGTIEb29vBg4cWO9rLVmyhBEjRhAYGEhERAQzZswgLS3NQUcmnMGZ58+XX37JwIED8fPzo0uXLvzjH/9w1GEJB7PHebNz506uvfZa4uLi8PX1pVevXvzf//3fWa+1atUqBg8ejLe3N4mJiSxatMjRhyccxFnnTUZGBtdddx09evRAr9dz7733OuPwhIM467z59ttvmTRpEhEREQQFBTFy5EiWLFnilGMU9ues82bdunWMHj2asLAwfH19SUpK4l//+pdTjrG1uWRgtHr1au688042bdrE0qVLqaqqYvLkyZSWltq2ue+++/jpp5/46quvWL16NadOneLqq68+a19/+tOfmD17dr2vc/ToUaZPn87FF19McnIyS5YsITc3t979iLbDWefPr7/+ypw5c7jtttvYs2cP//73v/nXv/7FG2+84bBjE45jj/Nm27ZtREZG8vHHH7N3714ef/xxHn300TrnxNGjR7nssssYP348ycnJ3Hvvvdx0003yYaWNctZ5YzQaiYiI4IknnmDAgAFOPUZhf846b9asWcOkSZP45Zdf2LZtG+PHj+fyyy9nx44dTj1eYR/OOm/8/f256667WLNmDSkpKTzxxBM88cQTvPPOO0493lahtQHZ2dkaoK1evVrTNE0rKCjQPD09ta+++sq2TUpKigZoGzduPOv5Tz/9tDZgwICz7v/qq680Dw8PzWQy2e778ccfNZ1Op1VWVtr/QESrcNT5c+2112ozZ86sc9+CBQu0Tp06aWaz2b4HIZzufM8bqzvuuEMbP3687eeHH35Y69OnT51tZs+erU2ZMsXORyBag6POm9rGjh2r3XPPPXYdt2hdzjhvrHr37q09++yz9hm4aFXOPG+uuuoq7frrr7fPwF2YS2aMzlRYWAhAaGgooKLdqqoqJk6caNsmKSmJzp07s3Hjxibvd8iQIej1ehYuXIjJZKKwsJCPPvqIiRMn4unpad+DEK3GUeeP0WjEx8enzn2+vr6cOHGCY8eO2WHkojXZ67wpLCy07QNg48aNdfYBMGXKlGade8J1Oeq8Ee2bs84bs9lMcXGxnFvthLPOmx07drBhwwbGjh1rp5G7LpcPjMxmM/feey+jR4+mb9++AGRmZuLl5UVISEidbaOiosjMzGzyvrt27cpvv/3GY489hre3NyEhIZw4cYIvv/zSnocgWpEjz58pU6bw7bffsnz5csxmMwcPHuTVV18FVD2AaLvsdd5s2LCBL774gltuucV2X2ZmJlFRUWfto6ioiPLycvseiHAqR543ov1y5nnzyiuvUFJSwh/+8Ae7jV+0DmecN506dcLb25uhQ4dy5513ctNNN9n9OFyNR2sP4FzuvPNO9uzZw7p16+y+78zMTG6++WZuuOEGrr32WoqLi3nqqaeYOXMmS5cuRafT2f01hXM58vy5+eabOXz4MNOmTaOqqoqgoCDuuecennnmGfR6l7/mIBphj/Nmz549TJ8+naeffprJkyfbcXTCVcl5I1rCWefNp59+yrPPPssPP/xAZGRki19LuAZnnDdr166lpKSETZs28cgjj5CYmMi11157PsN2eS4dGN111138/PPPrFmzhk6dOtnuj46OprKykoKCgjpRcVZWFtHR0U3e/5tvvklwcDAvv/yy7b6PP/6YuLg4Nm/ezIgRI+xyHKJ1OPr80el0vPTSS/z9738nMzOTiIgIli9fDkBCQoLdjkM4lz3Om3379jFhwgRuueUWnnjiiTqPRUdHn9UBMSsri6CgIHx9fe1/QMIpHH3eiPbJWefN559/zk033cRXX3111lRe0fY467zp2rUrAP369SMrK4tnnnmm3QdGLnlZW9M07rrrLr777jtWrFhh+8NYDRkyBE9PT9uHUIADBw6Qnp7OyJEjm/w6ZWVlZ13ZNxgMgEpRirbJWeePlcFgoGPHjnh5efHZZ58xcuRIIiIizvs4hHPZ67zZu3cv48eP54YbbuCFF14463VGjhxZZx8AS5cubdG5J1qfs84b0b4487z57LPPuPHGG/nss8+47LLLHHNAwila8/3GbDZjNBrtcyCurDU7PzTk9ttv14KDg7VVq1ZpGRkZtq+ysjLbNrfddpvWuXNnbcWKFdrWrVu1kSNHaiNHjqyzn9TUVG3Hjh3arbfeqvXo0UPbsWOHtmPHDs1oNGqapmnLly/XdDqd9uyzz2oHDx7Utm3bpk2ZMkXr0qVLndcSbYuzzp+cnBztrbfe0lJSUrQdO3Zod999t+bj46Nt3rzZqccr7MMe583u3bu1iIgI7frrr6+zj+zsbNs2R44c0fz8/LSHHnpIS0lJ0d58803NYDBoixcvdurxCvtw1nmjaZrtPWjIkCHaddddp+3YsUPbu3ev045V2I+zzptPPvlE8/Dw0N5888062xQUFDj1eIV9OOu8eeONN7Qff/xRO3jwoHbw4EHt3Xff1QIDA7XHH3/cqcfbGlwyMALq/Vq4cKFtm/Lycu2OO+7QOnTooPn5+WlXXXWVlpGRUWc/Y8eOrXc/R48etW3z2WefaYMGDdL8/f21iIgI7YorrtBSUlKcdKTCEZx1/uTk5GgjRozQ/P39NT8/P23ChAnapk2bnHikwp7scd48/fTT9e6jS5cudV5r5cqV2sCBAzUvLy8tISGhzmuItsWZ501TthFtg7POm4b+H7vhhhucd7DCbpx13ixYsEDr06eP5ufnpwUFBWmDBg3S/v3vf9dZ3qa90mmaprUs1ySEEEIIIYQQ7YNL1hgJIYQQQgghhDNJYCSEEEIIIYRwexIYCSGEEEIIIdyeBEZCCCGEEEIItyeBkRBCCCGEEMLtSWAkhBBCCCGEcHsSGAkhhBBCCCHcngRGQgghhBBCCLcngZEQQgiXNm/ePHQ6HTqdDk9PT6Kiopg0aRLvv/8+ZrO5yftZtGgRISEhjhuoEEKINk0CIyGEEC5v6tSpZGRkkJaWxq+//sr48eO55557mDZtGtXV1a09PCGEEO2ABEZCCCFcnre3N9HR0XTs2JHBgwfz2GOP8cMPP/Drr7+yaNEiAP75z3/Sr18//P39iYuL44477qCkpASAVatWceONN1JYWGjLPj3zzDMAGI1GHnzwQTp27Ii/vz/Dhw9n1apVrXOgQgghWo0ERkIIIdqkiy++mAEDBvDtt98CoNfrWbBgAXv37uWDDz5gxYoVPPzwwwCMGjWK1157jaCgIDIyMsjIyODBBx8E4K677mLjxo18/vnn7Nq1i1mzZjF16lRSU1Nb7diEEEI4n07TNK21ByGEEEI0ZN68eRQUFPD999+f9dg111zDrl272Ldv31mPff3119x2223k5uYCqsbo3nvvpaCgwLZNeno6CQkJpKenExsba7t/4sSJXHDBBfz973+3+/EIIYRwTR6tPQAhhBCipTRNQ6fTAbBs2TLmz5/P/v37KSoqorq6moqKCsrKyvDz86v3+bt378ZkMtGjR4869xuNRsLCwhw+fiGEEK5DAiMhhBBtVkpKCl27diUtLY1p06Zx++2388ILLxAaGsq6dev485//TGVlZYOBUUlJCQaDgW3btmEwGOo8FhAQ4IxDEEII4SIkMBJCCNEmrVixgt27d3Pfffexbds2zGYzr776Knq9Kp/98ssv62zv5eWFyWSqc9+gQYMwmUxkZ2dz4YUXOm3sQgghXI8ERkIIIVye0WgkMzMTk8lEVlYWixcvZv78+UybNo25c+eyZ88eqqqqeP3117n88stZv349b7/9dp19xMfHU1JSwvLlyxkwYAB+fn706NGDOXPmMHfuXF599VUGDRpETk4Oy5cvp3///lx22WWtdMRCCCGcTbrSCSGEcHmLFy8mJiaG+Ph4pk6dysqVK1mwYAE//PADBoOBAQMG8M9//pOXXnqJvn378sknnzB//vw6+xg1ahS33XYbs2fPJiIigpdffhmAhQsXMnfuXB544AF69uzJlVdeyZYtW+jcuXNrHKoQQohWIl3phBBCCCGEEG5PMkZCCCGEEEIItyeBkRBCCCGEEMLtSWAkhBBCCCGEcHsSGAkhhBBCCCHcngRGQgghhBBCCLcngZEQQgghhBDC7UlgJIQQQgghhHB7EhgJIYQQQggh3J4ERkIIIYQQQgi3J4GREEIIIYQQwu1JYCSEEEIIIYRwexIYCSGEEEIIIdze/wM0/P7H+/tjqQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Log Return"
      ],
      "metadata": {
        "id": "4zjdSpMfa2P8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Default comparing each one with Log Return\n",
        "\n",
        "veri_log_returns=np.log(veri/veri.shift())\n",
        "veri_log_returns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "pJMm4VhtRzzR",
        "outputId": "7af5d91d-c800-4ad6-9e7a-8c70a22bdaa1"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             Bitcoin       OIL      GOLD       DOW     TrY5Y     SP500  \\\n",
              "Date                                                                     \n",
              "2018-01-01       NaN       NaN       NaN       NaN       NaN       NaN   \n",
              "2018-01-08 -0.179364  0.045499  0.009873  0.019857  0.025864  0.015586   \n",
              "2018-01-15 -0.171624 -0.014569 -0.001126  0.010353  0.037583  0.008598   \n",
              "2018-01-22  0.015924  0.042783  0.014683  0.020688  0.012220  0.022020   \n",
              "2018-01-29 -0.353456 -0.010487 -0.013332 -0.042039  0.051293 -0.039309   \n",
              "...              ...       ...       ...       ...       ...       ...   \n",
              "2023-05-15 -0.006587  0.021330 -0.017931  0.003777  0.083382  0.016330   \n",
              "2023-05-22  0.048581  0.015532 -0.017641 -0.010021  0.049425  0.003208   \n",
              "2023-05-29 -0.035022 -0.012880  0.004260  0.020026 -0.025708  0.018125   \n",
              "2023-06-05 -0.044444 -0.022128  0.005007  0.003371  0.020619  0.003843   \n",
              "2023-06-12 -0.001127 -0.025987  0.000510  0.001953  0.022700  0.015381   \n",
              "\n",
              "              TrY10Y      Fear  \n",
              "Date                            \n",
              "2018-01-01       NaN       NaN  \n",
              "2018-01-08  0.027835  0.097083  \n",
              "2018-01-15  0.034686  0.103686  \n",
              "2018-01-22  0.007547 -0.017003  \n",
              "2018-01-29  0.068993  0.446143  \n",
              "...              ...       ...  \n",
              "2023-05-15  0.064358 -0.013003  \n",
              "2023-05-22  0.032003  0.065616  \n",
              "2023-05-29 -0.032003 -0.206569  \n",
              "2023-06-05  0.013459 -0.054181  \n",
              "2023-06-12  0.015915  0.033419  \n",
              "\n",
              "[285 rows x 8 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6f6b66ae-c20d-49d9-b765-95ae49ab27c1\">\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>Bitcoin</th>\n",
              "      <th>OIL</th>\n",
              "      <th>GOLD</th>\n",
              "      <th>DOW</th>\n",
              "      <th>TrY5Y</th>\n",
              "      <th>SP500</th>\n",
              "      <th>TrY10Y</th>\n",
              "      <th>Fear</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2018-01-01</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</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>-0.179364</td>\n",
              "      <td>0.045499</td>\n",
              "      <td>0.009873</td>\n",
              "      <td>0.019857</td>\n",
              "      <td>0.025864</td>\n",
              "      <td>0.015586</td>\n",
              "      <td>0.027835</td>\n",
              "      <td>0.097083</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-15</th>\n",
              "      <td>-0.171624</td>\n",
              "      <td>-0.014569</td>\n",
              "      <td>-0.001126</td>\n",
              "      <td>0.010353</td>\n",
              "      <td>0.037583</td>\n",
              "      <td>0.008598</td>\n",
              "      <td>0.034686</td>\n",
              "      <td>0.103686</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-22</th>\n",
              "      <td>0.015924</td>\n",
              "      <td>0.042783</td>\n",
              "      <td>0.014683</td>\n",
              "      <td>0.020688</td>\n",
              "      <td>0.012220</td>\n",
              "      <td>0.022020</td>\n",
              "      <td>0.007547</td>\n",
              "      <td>-0.017003</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-29</th>\n",
              "      <td>-0.353456</td>\n",
              "      <td>-0.010487</td>\n",
              "      <td>-0.013332</td>\n",
              "      <td>-0.042039</td>\n",
              "      <td>0.051293</td>\n",
              "      <td>-0.039309</td>\n",
              "      <td>0.068993</td>\n",
              "      <td>0.446143</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-15</th>\n",
              "      <td>-0.006587</td>\n",
              "      <td>0.021330</td>\n",
              "      <td>-0.017931</td>\n",
              "      <td>0.003777</td>\n",
              "      <td>0.083382</td>\n",
              "      <td>0.016330</td>\n",
              "      <td>0.064358</td>\n",
              "      <td>-0.013003</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-22</th>\n",
              "      <td>0.048581</td>\n",
              "      <td>0.015532</td>\n",
              "      <td>-0.017641</td>\n",
              "      <td>-0.010021</td>\n",
              "      <td>0.049425</td>\n",
              "      <td>0.003208</td>\n",
              "      <td>0.032003</td>\n",
              "      <td>0.065616</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-29</th>\n",
              "      <td>-0.035022</td>\n",
              "      <td>-0.012880</td>\n",
              "      <td>0.004260</td>\n",
              "      <td>0.020026</td>\n",
              "      <td>-0.025708</td>\n",
              "      <td>0.018125</td>\n",
              "      <td>-0.032003</td>\n",
              "      <td>-0.206569</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-06-05</th>\n",
              "      <td>-0.044444</td>\n",
              "      <td>-0.022128</td>\n",
              "      <td>0.005007</td>\n",
              "      <td>0.003371</td>\n",
              "      <td>0.020619</td>\n",
              "      <td>0.003843</td>\n",
              "      <td>0.013459</td>\n",
              "      <td>-0.054181</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-06-12</th>\n",
              "      <td>-0.001127</td>\n",
              "      <td>-0.025987</td>\n",
              "      <td>0.000510</td>\n",
              "      <td>0.001953</td>\n",
              "      <td>0.022700</td>\n",
              "      <td>0.015381</td>\n",
              "      <td>0.015915</td>\n",
              "      <td>0.033419</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>285 rows × 8 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6f6b66ae-c20d-49d9-b765-95ae49ab27c1')\"\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-6f6b66ae-c20d-49d9-b765-95ae49ab27c1 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-6f6b66ae-c20d-49d9-b765-95ae49ab27c1');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "veri_log_returns.plot(kind='line', figsize=(10, 5))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 482
        },
        "id": "ncJLjvcaWl_R",
        "outputId": "b1ed1bd2-ea28-4156-d93f-f979878bed0e"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Date'>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "veri_log_returns[[\"SP500\",\"Fear\"]].plot(kind='line', figsize=(10, 5))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 482
        },
        "id": "hbDS3Xa1TVC3",
        "outputId": "fc8a02e1-2d89-4bea-bb31-4c2442fce08b"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Date'>"
            ]
          },
          "metadata": {},
          "execution_count": 23
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Let's calculate CORRELATION\n"
      ],
      "metadata": {
        "id": "7tN3adXqVA4f"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "veri_corr=(veri_log_returns.corr()).round(2)\n",
        "veri_corr"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "lSvhNQhKeUzW",
        "outputId": "6e3f4d04-8848-42b8-db0e-d24799f8841b"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Bitcoin   OIL  GOLD   DOW  TrY5Y  SP500  TrY10Y  Fear\n",
              "Bitcoin     1.00  0.19  0.18  0.21   0.00   0.24    0.01 -0.26\n",
              "OIL         0.19  1.00  0.16  0.35   0.19   0.33    0.10 -0.34\n",
              "GOLD        0.18  0.16  1.00  0.27  -0.37   0.27   -0.36 -0.12\n",
              "DOW         0.21  0.35  0.27  1.00   0.21   0.96    0.16 -0.69\n",
              "TrY5Y       0.00  0.19 -0.37  0.21   1.00   0.17    0.89 -0.18\n",
              "SP500       0.24  0.33  0.27  0.96   0.17   1.00    0.13 -0.72\n",
              "TrY10Y      0.01  0.10 -0.36  0.16   0.89   0.13    1.00 -0.20\n",
              "Fear       -0.26 -0.34 -0.12 -0.69  -0.18  -0.72   -0.20  1.00"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b7815c74-24b1-496c-b0bd-84b1b810a973\">\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>Bitcoin</th>\n",
              "      <th>OIL</th>\n",
              "      <th>GOLD</th>\n",
              "      <th>DOW</th>\n",
              "      <th>TrY5Y</th>\n",
              "      <th>SP500</th>\n",
              "      <th>TrY10Y</th>\n",
              "      <th>Fear</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Bitcoin</th>\n",
              "      <td>1.00</td>\n",
              "      <td>0.19</td>\n",
              "      <td>0.18</td>\n",
              "      <td>0.21</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.01</td>\n",
              "      <td>-0.26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OIL</th>\n",
              "      <td>0.19</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.16</td>\n",
              "      <td>0.35</td>\n",
              "      <td>0.19</td>\n",
              "      <td>0.33</td>\n",
              "      <td>0.10</td>\n",
              "      <td>-0.34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>GOLD</th>\n",
              "      <td>0.18</td>\n",
              "      <td>0.16</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.27</td>\n",
              "      <td>-0.37</td>\n",
              "      <td>0.27</td>\n",
              "      <td>-0.36</td>\n",
              "      <td>-0.12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DOW</th>\n",
              "      <td>0.21</td>\n",
              "      <td>0.35</td>\n",
              "      <td>0.27</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.21</td>\n",
              "      <td>0.96</td>\n",
              "      <td>0.16</td>\n",
              "      <td>-0.69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TrY5Y</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.19</td>\n",
              "      <td>-0.37</td>\n",
              "      <td>0.21</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.17</td>\n",
              "      <td>0.89</td>\n",
              "      <td>-0.18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SP500</th>\n",
              "      <td>0.24</td>\n",
              "      <td>0.33</td>\n",
              "      <td>0.27</td>\n",
              "      <td>0.96</td>\n",
              "      <td>0.17</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.13</td>\n",
              "      <td>-0.72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TrY10Y</th>\n",
              "      <td>0.01</td>\n",
              "      <td>0.10</td>\n",
              "      <td>-0.36</td>\n",
              "      <td>0.16</td>\n",
              "      <td>0.89</td>\n",
              "      <td>0.13</td>\n",
              "      <td>1.00</td>\n",
              "      <td>-0.20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Fear</th>\n",
              "      <td>-0.26</td>\n",
              "      <td>-0.34</td>\n",
              "      <td>-0.12</td>\n",
              "      <td>-0.69</td>\n",
              "      <td>-0.18</td>\n",
              "      <td>-0.72</td>\n",
              "      <td>-0.20</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b7815c74-24b1-496c-b0bd-84b1b810a973')\"\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",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </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-b7815c74-24b1-496c-b0bd-84b1b810a973 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-b7815c74-24b1-496c-b0bd-84b1b810a973');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.heatmap(veri_corr, annot=True , cmap=\"coolwarm\" , cbar=True)\n",
        "plt.show"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        },
        "id": "bQcTC08gevu2",
        "outputId": "3a742a15-e820-4bc8-acd0-4b35c9c62517"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<function matplotlib.pyplot.show(close=None, block=None)>"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Yeni ticker eklemek ve test correlation yapmak\n",
        "def test_correlation(ticker):\n",
        "    df=yf.download(ticker,start )['Adj Close']\n",
        "    logret=veri_log_returns.copy()\n",
        "    logret[ticker]=np.log(df/df.shift())\n",
        "    return logret.corr()\n",
        "#test_correlation()"
      ],
      "metadata": {
        "id": "76SxLLX5gc3q"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_correlation(['ETH-USD', '^GSPC', 'GBTC'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 411
        },
        "id": "USrAnHD1i1Hm",
        "outputId": "e276a8a4-7551-42bd-9796-b6044ea7554d"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[*********************100%***********************]  3 of 3 completed\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          Bitcoin       OIL      GOLD       DOW     TrY5Y     SP500    TrY10Y  \\\n",
              "Bitcoin  1.000000  0.190138  0.180086  0.213659  0.001621  0.240745  0.013537   \n",
              "OIL      0.190138  1.000000  0.155572  0.347101  0.194133  0.325847  0.095847   \n",
              "GOLD     0.180086  0.155572  1.000000  0.271827 -0.371694  0.274467 -0.360847   \n",
              "DOW      0.213659  0.347101  0.271827  1.000000  0.210632  0.964859  0.160693   \n",
              "TrY5Y    0.001621  0.194133 -0.371694  0.210632  1.000000  0.170490  0.889569   \n",
              "SP500    0.240745  0.325847  0.274467  0.964859  0.170490  1.000000  0.132549   \n",
              "TrY10Y   0.013537  0.095847 -0.360847  0.160693  0.889569  0.132549  1.000000   \n",
              "Fear    -0.262083 -0.341293 -0.119473 -0.687349 -0.179864 -0.718809 -0.201099   \n",
              "ETH-USD  0.378271  0.143158  0.192252  0.211866  0.045227  0.220930  0.037138   \n",
              "^GSPC         NaN       NaN       NaN       NaN       NaN       NaN       NaN   \n",
              "GBTC          NaN       NaN       NaN       NaN       NaN       NaN       NaN   \n",
              "\n",
              "             Fear   ETH-USD  ^GSPC  GBTC  \n",
              "Bitcoin -0.262083  0.378271    NaN   NaN  \n",
              "OIL     -0.341293  0.143158    NaN   NaN  \n",
              "GOLD    -0.119473  0.192252    NaN   NaN  \n",
              "DOW     -0.687349  0.211866    NaN   NaN  \n",
              "TrY5Y   -0.179864  0.045227    NaN   NaN  \n",
              "SP500   -0.718809  0.220930    NaN   NaN  \n",
              "TrY10Y  -0.201099  0.037138    NaN   NaN  \n",
              "Fear     1.000000 -0.141111    NaN   NaN  \n",
              "ETH-USD -0.141111  1.000000    NaN   NaN  \n",
              "^GSPC         NaN       NaN    NaN   NaN  \n",
              "GBTC          NaN       NaN    NaN   NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4de9e2b8-7c68-464c-9e4f-8981d7120275\">\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>Bitcoin</th>\n",
              "      <th>OIL</th>\n",
              "      <th>GOLD</th>\n",
              "      <th>DOW</th>\n",
              "      <th>TrY5Y</th>\n",
              "      <th>SP500</th>\n",
              "      <th>TrY10Y</th>\n",
              "      <th>Fear</th>\n",
              "      <th>ETH-USD</th>\n",
              "      <th>^GSPC</th>\n",
              "      <th>GBTC</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Bitcoin</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.190138</td>\n",
              "      <td>0.180086</td>\n",
              "      <td>0.213659</td>\n",
              "      <td>0.001621</td>\n",
              "      <td>0.240745</td>\n",
              "      <td>0.013537</td>\n",
              "      <td>-0.262083</td>\n",
              "      <td>0.378271</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OIL</th>\n",
              "      <td>0.190138</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.155572</td>\n",
              "      <td>0.347101</td>\n",
              "      <td>0.194133</td>\n",
              "      <td>0.325847</td>\n",
              "      <td>0.095847</td>\n",
              "      <td>-0.341293</td>\n",
              "      <td>0.143158</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>GOLD</th>\n",
              "      <td>0.180086</td>\n",
              "      <td>0.155572</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.271827</td>\n",
              "      <td>-0.371694</td>\n",
              "      <td>0.274467</td>\n",
              "      <td>-0.360847</td>\n",
              "      <td>-0.119473</td>\n",
              "      <td>0.192252</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DOW</th>\n",
              "      <td>0.213659</td>\n",
              "      <td>0.347101</td>\n",
              "      <td>0.271827</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.210632</td>\n",
              "      <td>0.964859</td>\n",
              "      <td>0.160693</td>\n",
              "      <td>-0.687349</td>\n",
              "      <td>0.211866</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TrY5Y</th>\n",
              "      <td>0.001621</td>\n",
              "      <td>0.194133</td>\n",
              "      <td>-0.371694</td>\n",
              "      <td>0.210632</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.170490</td>\n",
              "      <td>0.889569</td>\n",
              "      <td>-0.179864</td>\n",
              "      <td>0.045227</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SP500</th>\n",
              "      <td>0.240745</td>\n",
              "      <td>0.325847</td>\n",
              "      <td>0.274467</td>\n",
              "      <td>0.964859</td>\n",
              "      <td>0.170490</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.132549</td>\n",
              "      <td>-0.718809</td>\n",
              "      <td>0.220930</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TrY10Y</th>\n",
              "      <td>0.013537</td>\n",
              "      <td>0.095847</td>\n",
              "      <td>-0.360847</td>\n",
              "      <td>0.160693</td>\n",
              "      <td>0.889569</td>\n",
              "      <td>0.132549</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.201099</td>\n",
              "      <td>0.037138</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Fear</th>\n",
              "      <td>-0.262083</td>\n",
              "      <td>-0.341293</td>\n",
              "      <td>-0.119473</td>\n",
              "      <td>-0.687349</td>\n",
              "      <td>-0.179864</td>\n",
              "      <td>-0.718809</td>\n",
              "      <td>-0.201099</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.141111</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ETH-USD</th>\n",
              "      <td>0.378271</td>\n",
              "      <td>0.143158</td>\n",
              "      <td>0.192252</td>\n",
              "      <td>0.211866</td>\n",
              "      <td>0.045227</td>\n",
              "      <td>0.220930</td>\n",
              "      <td>0.037138</td>\n",
              "      <td>-0.141111</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>^GSPC</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>GBTC</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4de9e2b8-7c68-464c-9e4f-8981d7120275')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "        \n",
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              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      height: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "    [theme=dark] .colab-df-convert {\n",
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              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "          document.querySelector('#df-4de9e2b8-7c68-464c-9e4f-8981d7120275 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-4de9e2b8-7c68-464c-9e4f-8981d7120275');\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",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test_correlation('GBTC')"
      ],
      "metadata": {
        "id": "fr2vWCmyjA6v"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Visualize Correlation\n",
        "def visualize_correlation(ticker1, ticker2):\n",
        "    df=yf.download([ticker1, ticker2],start )\n",
        "    df=df['Adj Close']\n",
        "    df=df/df.iloc[0]\n",
        "    fig, ax=plt.subplots()\n",
        "    df.plot(ax=ax)\n",
        "\n",
        "#visualize_correlation()"
      ],
      "metadata": {
        "id": "ii-PFBAOjVnH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "visualize_correlation('XRP-USD', 'XLM-USD' )"
      ],
      "metadata": {
        "id": "_zJCPrg-kgd5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "visualize_correlation('XRP-USD', 'ADA-USD')"
      ],
      "metadata": {
        "id": "9cJaRFfJk85_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "visualize_correlation('XRP-USD', 'BTC-USD')"
      ],
      "metadata": {
        "id": "D8It-iRklw4n"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}