1_5_3_Momentum_Trading_Strategy.ipynb

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        "# <span style=\"color:#1f77b4\">1.5.3. Momentum Trading Strategy</span>\n",
        "\n",
        "## <span style=\"color:#ff7f0e\">Project Overview</span>\n",
        "\n",
        "This project delves into the development and implementation of a **momentum trading strategy** using historical cryptocurrency data. Momentum trading is a strategy that seeks to capitalize on the continuation of existing trends in the market. By analyzing past price movements and trading volumes, we aim to generate trading signals that help in making informed buy or sell decisions.\n",
        "\n",
        "## <span style=\"color:#2ca02c\">Objectives</span>\n",
        "\n",
        "The key objectives of this project are:\n",
        "\n",
        "- **Historical Data Analysis**: Analyze and visualize historical cryptocurrency data to understand market trends and behavior.\n",
        "- **Outlier Detection and Handling**: Identify and address anomalies in the dataset to ensure the integrity of the analysis.\n",
        "- **Feature Engineering**: Extract and create significant features, such as momentum indicators and moving averages, that are critical for developing trading strategies.\n",
        "- **Trading Signal Development**: Formulate trading signals based on momentum indicators to guide trading decisions.\n",
        "- **Strategy Evaluation**: Visualize the effectiveness of the trading strategy through various plots and charts, and assess its performance.\n",
        "\n",
        "## <span style=\"color:#d62728\">Dataset</span>\n",
        "\n",
        "- **File Path**: `/content/coin_CryptocomCoin.csv`\n",
        "- **Description**: The dataset contains historical price and volume data for a cryptocurrency. It includes various columns that provide insights into the market’s historical behavior.\n",
        "- **Columns**:\n",
        "  - **Date**: The date of the record.\n",
        "  - **High**: The highest price recorded on the given date.\n",
        "  - **Low**: The lowest price recorded on the given date.\n",
        "  - **Open**: The opening price on the given date.\n",
        "  - **Close**: The closing price on the given date.\n",
        "  - **Volume**: The total trading volume on the given date.\n",
        "  - **Marketcap**: The market capitalization on the given date.\n",
        "\n",
        "## <span style=\"color:#9467bd\">Steps Involved</span>\n",
        "\n",
        "### 1. Data Loading and Exploration\n",
        "\n",
        "- **Loading Data**: Import the dataset using `pandas` and read the CSV file into a DataFrame.\n",
        "- **Initial Exploration**: Display the first few rows and summary statistics to get a basic understanding of the data structure and its distribution.\n",
        "- **Missing Values**: Check for missing values in each column and handle them appropriately if any are found.\n",
        "\n",
        "### 2. Feature Engineering\n",
        "\n",
        "- **Date Conversion**: Convert the 'Date' column to a `datetime` format to facilitate time-based operations and analysis.\n",
        "- **Feature Extraction**:\n",
        "  - **Year**: Extract the year from the 'Date' column.\n",
        "  - **Month**: Extract the month from the 'Date' column.\n",
        "  - **Day**: Extract the day from the 'Date' column.\n",
        "\n",
        "### 3. Data Visualization\n",
        "\n",
        "- **High and Low Prices Over Time**: Plot the high and low prices over time to visualize the price fluctuations.\n",
        "- **Volume of Trades Over Time**: Plot trading volumes over time to understand trading activity.\n",
        "- **Market Capitalization Over Time**: Plot market capitalization to observe its trend over the analyzed period.\n",
        "\n",
        "### 4. Preprocessing\n",
        "\n",
        "- **Drop Irrelevant Columns**: Remove columns that do not contribute to the analysis, such as 'SNo', 'Name', and 'Symbol'.\n",
        "- **Handle Missing Values**: Confirm that there are no missing values in the dataset, as noted in the exploration phase.\n",
        "- **Outlier Detection and Removal**:\n",
        "  - **IQR Method**: Implement the Interquartile Range (IQR) method to detect and remove outliers from numerical columns ('High', 'Low', 'Open', 'Close', 'Volume', 'Marketcap').\n",
        "- **Feature Scaling**: Apply `StandardScaler` to scale numerical features, ensuring they contribute equally to the analysis.\n",
        "\n",
        "### 5. Momentum Indicator Calculation\n",
        "\n",
        "- **Define Momentum**: Calculate momentum indicators based on historical price changes over specified periods.\n",
        "- **Periods**: Compute momentum for various periods (90, 180, 270, and 360 days).\n",
        "- **Create Columns**: Add new columns to the dataset to store momentum values for each period.\n",
        "\n",
        "### 6. Trading Signals\n",
        "\n",
        "- **Signal Generation**: Develop trading signals based on the momentum indicators.\n",
        "  - **Buy Signal**: Generate a buy signal when the momentum is positive.\n",
        "  - **Sell Signal**: Generate a sell signal when the momentum is negative.\n",
        "- **Visualization**: Plot the buy and sell signals along with closing prices to visualize trading decisions.\n",
        "\n",
        "### 7. MACD Indicator Calculation\n",
        "\n",
        "- **MACD Calculation**: Compute the Moving Average Convergence Divergence (MACD) indicator using the Exponential Moving Averages (EMAs) for 12-day and 26-day periods.\n",
        "- **Signal Line**: Calculate the Signal line (9-day EMA of MACD) to aid in trading decisions.\n",
        "\n",
        "### 8. Final Visualization\n",
        "\n",
        "- **MACD and Signal Line Plot**: Plot the MACD and Signal line to observe their behavior and potential trading signals.\n",
        "- **Final Dataset Display**: Present the dataset with all calculated indicators and signals to review the final output.\n",
        "\n",
        "## <span style=\"color:#8c564b\">Conclusion</span>\n",
        "\n",
        "The project successfully implements a momentum trading strategy using historical cryptocurrency data. By analyzing price trends and trading volumes, and computing various technical indicators, the project aims to generate actionable trading signals. The strategy leverages both momentum indicators and MACD to make informed trading decisions.\n",
        "\n",
        "Through visualizations and analysis, the project demonstrates how momentum trading can be applied to cryptocurrency markets to potentially improve trading outcomes.\n",
        "\n",
        "## <span style=\"color:#e377c2\">Next Steps</span>\n",
        "\n",
        "- **Strategy Optimization**: Explore further optimization of trading signals and strategies to enhance performance.\n",
        "- **Backtesting**: Conduct backtesting using historical data to evaluate the strategy's effectiveness and refine it.\n",
        "- **Real-time Integration**: Consider integrating the strategy with real-time data for live trading applications and monitoring."
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        "## <span style=\"color:#1f77b4\">1. Importing Libraries</span>\n",
        "\n",
        "In this step, we import essential libraries required for data manipulation, visualization, and analysis. Each library serves a specific purpose in the project:\n",
        "\n",
        "### <span style=\"color:#ff7f0e\">1.1. Pandas</span>\n",
        "\n",
        "- **Library**: `pandas`\n",
        "- **Purpose**: Provides data structures and functions needed to manipulate structured data. It is used for reading and handling the dataset, performing data cleaning, and conducting exploratory data analysis (EDA).\n",
        "- **Function**: `import pandas as pd`\n",
        "- **Example Usage**: `data = pd.read_csv(file_path)` reads the CSV file into a DataFrame, allowing for further data operations.\n",
        "\n",
        "### <span style=\"color:#2ca02c\">1.2. NumPy</span>\n",
        "\n",
        "- **Library**: `numpy`\n",
        "- **Purpose**: Offers support for numerical operations and mathematical functions. It is used for array operations and calculations necessary for data analysis and preprocessing.\n",
        "- **Function**: `import numpy as np`\n",
        "- **Example Usage**: `np.where(condition, value_if_true, value_if_false)` is used to generate trading signals based on momentum indicators.\n",
        "\n",
        "### <span style=\"color:#d62728\">1.3. Matplotlib</span>\n",
        "\n",
        "- **Library**: `matplotlib.pyplot`\n",
        "- **Purpose**: Provides tools for creating static, animated, and interactive visualizations in Python. It is used to plot various types of graphs and charts to visualize data trends and patterns.\n",
        "- **Function**: `import matplotlib.pyplot as plt`\n",
        "- **Example Usage**: `plt.plot(x, y)` creates line plots to visualize price trends over time.\n",
        "\n",
        "### <span style=\"color:#9467bd\">1.4. Seaborn</span>\n",
        "\n",
        "- **Library**: `seaborn`\n",
        "- **Purpose**: Built on top of Matplotlib, Seaborn provides a high-level interface for drawing attractive and informative statistical graphics. It simplifies the creation of complex visualizations and enhances Matplotlib's capabilities.\n",
        "- **Function**: `import seaborn as sns`\n",
        "- **Example Usage**: `sns.histplot(data, kde=True)` creates histograms with kernel density estimates to visualize the distribution of data.\n",
        "\n",
        "### <span style=\"color:#8c564b\">1.5. Scikit-Learn</span>\n",
        "\n",
        "- **Library**: `sklearn.preprocessing.StandardScaler`\n",
        "- **Purpose**: Provides tools for data preprocessing and machine learning model building. The StandardScaler is used to standardize features by removing the mean and scaling to unit variance, which is crucial for ensuring that all features contribute equally to model performance.\n",
        "- **Function**: `from sklearn.preprocessing import StandardScaler`\n",
        "- **Example Usage**: `scaler.fit_transform(data)` scales the numerical features of the dataset to have zero mean and unit variance.\n",
        "\n",
        "Each library is integral to different stages of the data analysis workflow, from data handling and preprocessing to visualization and model building."
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      "source": [
        "import pandas as pd  # Import pandas for data manipulation"
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      "execution_count": 11,
      "outputs": []
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      "source": [
        "import numpy as np  # Import numpy for numerical operations"
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      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt  # Import matplotlib for plotting graphs"
      ],
      "metadata": {
        "id": "ih_DIkgFvIXh"
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      "execution_count": 13,
      "outputs": []
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      "cell_type": "code",
      "source": [
        "import seaborn as sns  # Import seaborn for advanced data visualization"
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      "execution_count": 14,
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        "from sklearn.preprocessing import StandardScaler  # Import StandardScaler for feature scaling"
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      "execution_count": 15,
      "outputs": []
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        "## <span style=\"color:#1f77b4\">1. Data Loading and Exploration</span>\n",
        "\n",
        "### <span style=\"color:#ff7f0e\">1.1. Data Loading</span>\n",
        "\n",
        "- **Objective**: Import the cryptocurrency dataset to start the analysis.\n",
        "- **Method**: Use the `pandas` library to load the CSV file into a DataFrame.\n",
        "- **Details**:\n",
        "  - Ensure the file path is correctly specified.\n",
        "  - Load the data into a DataFrame for further exploration.\n",
        "\n",
        "### <span style=\"color:#2ca02c\">1.2. Initial Exploration</span>\n",
        "\n",
        "- **Objective**: Understand the basic structure and contents of the dataset.\n",
        "- **Actions**:\n",
        "  - **Display First Few Rows**: Use `df.head()` to view the first few rows of the dataset to get an initial sense of the data structure and sample values.\n",
        "  - **Summary Statistics**: Use `df.describe()` to obtain summary statistics for numerical columns. This includes mean, median, minimum, maximum, and standard deviation.\n",
        "\n",
        "### <span style=\"color:#d62728\">1.3. Check for Missing Values</span>\n",
        "\n",
        "- **Objective**: Ensure data integrity by identifying and addressing any missing values in the dataset.\n",
        "- **Actions**:\n",
        "  - **Count Missing Values**: Use `df.isnull().sum()` to count the number of missing values in each column.\n",
        "  - **Address Missing Values**: Decide on an approach to handle missing values, such as filling them with a specific value or removing rows/columns with missing data.\n",
        "\n",
        "### <span style=\"color:#9467bd\">1.4. Data Types and Conversion</span>\n",
        "\n",
        "- **Objective**: Ensure data types are appropriate for analysis and convert them if necessary.\n",
        "- **Actions**:\n",
        "  - **Check Data Types**: Use `df.dtypes` to check the data types of each column.\n",
        "  - **Convert Data Types**: Convert columns to appropriate data types if needed. For example, convert the 'Date' column to `datetime` format to facilitate time-series analysis.\n",
        "\n",
        "### <span style=\"color:#8c564b\">1.5. Data Integrity Check</span>\n",
        "\n",
        "- **Objective**: Verify the accuracy and completeness of the data after initial loading and exploration.\n",
        "- **Actions**:\n",
        "  - **Check for Duplicates**: Use `df.duplicated().sum()` to check for any duplicate rows in the dataset.\n",
        "  - **Ensure No Anomalies**: Validate that the data follows expected patterns and ranges. For example, prices should be non-negative and dates should fall within a reasonable range."
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      "source": [
        "# Load the dataset"
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      "execution_count": 16,
      "outputs": []
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      "cell_type": "code",
      "source": [
        "file_path = \"/content/coin_CryptocomCoin.csv\"  # Path to the dataset"
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        "id": "5FVXOIrEvIme"
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      "execution_count": 17,
      "outputs": []
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      "source": [
        "data = pd.read_csv(file_path)  # Read the CSV file into a DataFrame"
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      "execution_count": 18,
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      "source": [
        "# Display the first few rows of the dataset"
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        "print(\"First few rows of the dataset:\")  # Print header for the first few rows\n",
        "print(data.head())  # Print the first few rows of the dataset"
      ],
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          "text": [
            "First few rows of the dataset:\n",
            "   SNo             Name Symbol                 Date      High       Low  \\\n",
            "0    1  Crypto.com Coin    CRO  2018-12-15 23:59:59  0.019845  0.016150   \n",
            "1    2  Crypto.com Coin    CRO  2018-12-16 23:59:59  0.017496  0.014127   \n",
            "2    3  Crypto.com Coin    CRO  2018-12-17 23:59:59  0.016723  0.011487   \n",
            "3    4  Crypto.com Coin    CRO  2018-12-18 23:59:59  0.017215  0.013553   \n",
            "4    5  Crypto.com Coin    CRO  2018-12-19 23:59:59  0.031509  0.015609   \n",
            "\n",
            "       Open     Close        Volume     Marketcap  \n",
            "0  0.019542  0.017243  9.897096e+05  0.000000e+00  \n",
            "1  0.017213  0.015301  7.171740e+05  0.000000e+00  \n",
            "2  0.015186  0.014448  6.156226e+05  1.547062e+07  \n",
            "3  0.014308  0.016260  7.644745e+05  1.785590e+07  \n",
            "4  0.016087  0.020790  1.025196e+06  2.340088e+07  \n"
          ]
        }
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      "source": [
        "# Display the summary of the dataset"
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      "execution_count": 21,
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    },
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      "cell_type": "code",
      "source": [
        "print(\"\\nSummary of the dataset:\")  # Print header for summary statistics\n",
        "print(data.describe())  # Print summary statistics of the dataset\n"
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            "\n",
            "Summary of the dataset:\n",
            "             SNo        High         Low        Open       Close  \\\n",
            "count  935.00000  935.000000  935.000000  935.000000  935.000000   \n",
            "mean   468.00000    0.085467    0.078565    0.081802    0.081912   \n",
            "std    270.05555    0.055912    0.051567    0.053707    0.053693   \n",
            "min      1.00000    0.012463    0.011487    0.012164    0.012133   \n",
            "25%    234.50000    0.042306    0.039469    0.040979    0.041072   \n",
            "50%    468.00000    0.068313    0.062851    0.065295    0.065431   \n",
            "75%    701.50000    0.121664    0.112010    0.115961    0.116189   \n",
            "max    935.00000    0.270960    0.234816    0.246416    0.246848   \n",
            "\n",
            "             Volume     Marketcap  \n",
            "count  9.350000e+02  9.350000e+02  \n",
            "mean   5.003678e+07  1.485326e+09  \n",
            "std    9.611248e+07  1.456005e+09  \n",
            "min    7.388051e+04  0.000000e+00  \n",
            "25%    5.441613e+06  4.003142e+08  \n",
            "50%    1.699123e+07  7.591310e+08  \n",
            "75%    6.591552e+07  2.549040e+09  \n",
            "max    1.993686e+09  6.236131e+09  \n"
          ]
        }
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      "cell_type": "code",
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      "metadata": {
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    {
      "cell_type": "code",
      "source": [
        "# Check for missing values"
      ],
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      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"\\nMissing values in each column:\")  # Print header for missing values\n",
        "print(data.isnull().sum())  # Print the count of missing values in each column"
      ],
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          "name": "stdout",
          "text": [
            "\n",
            "Missing values in each column:\n",
            "SNo          0\n",
            "Name         0\n",
            "Symbol       0\n",
            "Date         0\n",
            "High         0\n",
            "Low          0\n",
            "Open         0\n",
            "Close        0\n",
            "Volume       0\n",
            "Marketcap    0\n",
            "dtype: int64\n"
          ]
        }
      ]
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    {
      "cell_type": "code",
      "source": [],
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      "source": [],
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      "outputs": []
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    {
      "cell_type": "code",
      "source": [
        "# Check the data types of each column"
      ],
      "metadata": {
        "id": "TKbNG57E3CtN"
      },
      "execution_count": 81,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Data types of each column:\")\n",
        "print(data.dtypes)  # Print the data types of each column"
      ],
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          "text": [
            "Data types of each column:\n",
            "Date            datetime64[ns]\n",
            "High                   float64\n",
            "Low                    float64\n",
            "Open                   float64\n",
            "Close                  float64\n",
            "Volume                 float64\n",
            "Marketcap              float64\n",
            "Year                     int32\n",
            "Month                    int32\n",
            "Day                      int32\n",
            "Momentum_90            float64\n",
            "Momentum_180           float64\n",
            "Momentum_270           float64\n",
            "Momentum_360           float64\n",
            "Signal_90                int64\n",
            "Signal_180               int64\n",
            "Signal_270               int64\n",
            "Signal_360               int64\n",
            "EMA_12                 float64\n",
            "EMA_26                 float64\n",
            "MACD                   float64\n",
            "Signal                 float64\n",
            "dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "q5O6kU8n5shS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "HVvOIehj5skU"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Check for duplicate rows"
      ],
      "metadata": {
        "id": "LIhteL7D5szh"
      },
      "execution_count": 83,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "duplicates = data.duplicated().sum()  # Count the number of duplicate rows"
      ],
      "metadata": {
        "id": "dWH2KjDm553C"
      },
      "execution_count": 84,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(f\"Number of duplicate rows: {duplicates}\")  # Print the count of duplicate rows"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Yf6Wz0hk556D",
        "outputId": "7719fc79-4e47-4295-cbdc-df81851699c1"
      },
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Number of duplicate rows: 0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "-2PMwTDe5_U-"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "FJh4yACc5_bA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Check for anomalies"
      ],
      "metadata": {
        "id": "OwVdzHJb5_eL"
      },
      "execution_count": 86,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "if 'Price' in data.columns:  # Check if 'Price' column exists\n",
        "    negative_prices = data[data['Price'] < 0].shape[0]  # Count the number of rows with negative prices\n",
        "    print(f\"Number of rows with negative prices: {negative_prices}\")  # Print the count of rows with negative prices\n"
      ],
      "metadata": {
        "id": "U-7h3Bfx559T"
      },
      "execution_count": 89,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Iz6WjmKU56AG"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "rLsC6PQr56DN"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "if 'Date' in data.columns:  # Check if 'Date' column exists\n",
        "    date_range = data['Date'].min(), data['Date'].max()  # Get the date range in the 'Date' column\n",
        "    print(f\"Date range: {date_range}\")  # Print the date range"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xeEhT05B56F5",
        "outputId": "27415c99-6011-41b0-f047-a1bfe8cea98b"
      },
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Date range: (Timestamp('2018-12-15 23:59:59'), Timestamp('2021-07-06 23:59:59'))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "ZYf9Yo786Xz_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "4q3PGy7V6YFb"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "nj1SdWRN6eb4"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## <span style=\"color:#1f77b4\">2. Data Preprocessing and Feature Engineering</span>\n",
        "\n",
        "### <span style=\"color:#ff7f0e\">2.1. Date Conversion</span>\n",
        "\n",
        "- **Objective**: Prepare the dataset for time-series analysis by converting date-related columns to appropriate formats.\n",
        "- **Actions**:\n",
        "  - **Convert 'Date' Column**: Convert the 'Date' column from string format to `datetime` format using `pd.to_datetime()`. This enables easy extraction of time-based features and ensures proper handling of date operations.\n",
        "\n",
        "### <span style=\"color:#2ca02c\">2.2. Feature Extraction from Date</span>\n",
        "\n",
        "- **Objective**: Enhance the dataset with additional time-based features that can be useful for analysis and modeling.\n",
        "- **Actions**:\n",
        "  - **Extract Year, Month, and Day**: Create new columns for year, month, and day by extracting these components from the 'Date' column. This can help in analyzing trends over different time periods (e.g., yearly, monthly, daily).\n",
        "\n",
        "### <span style=\"color:#d62728\">2.3. Handling Missing Values</span>\n",
        "\n",
        "- **Objective**: Address any missing values that may have been present in the dataset to ensure completeness and reliability.\n",
        "- **Actions**:\n",
        "  - **Identify Missing Values**: Use `df.isnull().sum()` to identify columns with missing values.\n",
        "  - **Impute or Drop Missing Values**: Depending on the extent and nature of the missing values, decide whether to fill them with a specific value (e.g., mean, median) or to drop rows/columns containing missing values.\n",
        "\n",
        "### <span style=\"color:#9467bd\">2.4. Removing Irrelevant Columns</span>\n",
        "\n",
        "- **Objective**: Streamline the dataset by removing columns that are not needed for the analysis.\n",
        "- **Actions**:\n",
        "  - **Drop Columns**: Use `df.drop(columns=['Column1', 'Column2'])` to remove columns that do not contribute to the analysis. This helps in reducing noise and improving the efficiency of subsequent processing steps.\n",
        "\n",
        "### <span style=\"color:#8c564b\">2.5. Encoding Categorical Variables</span>\n",
        "\n",
        "- **Objective**: Prepare the dataset for machine learning models by encoding categorical variables into numerical formats if needed.\n",
        "- **Actions**:\n",
        "  - **Check for Categorical Variables**: Identify any categorical columns using `df.select_dtypes(include=['object'])`.\n",
        "  - **Apply Encoding**: If categorical variables are present, apply encoding techniques such as one-hot encoding or label encoding to convert them into numerical formats.\n",
        "\n",
        "### <span style=\"color:#e377c2\">2.6. Outlier Detection and Removal</span>\n",
        "\n",
        "- **Objective**: Improve the robustness of the analysis by detecting and handling outliers in the dataset.\n",
        "- **Actions**:\n",
        "  - **Identify Outliers**: Use methods like the Interquartile Range (IQR) to detect outliers in numerical columns.\n",
        "  - **Remove Outliers**: Implement a function to remove outliers based on the calculated IQR thresholds. This ensures that extreme values do not skew the analysis.\n",
        "\n",
        "### <span style=\"color:#7f7f7f\">2.7. Feature Scaling</span>\n",
        "\n",
        "- **Objective**: Normalize the range of numerical features to ensure fair contribution to model training and analysis.\n",
        "- **Actions**:\n",
        "  - **Apply Scaling**: Use `StandardScaler` to scale numerical features to a standard range (e.g., mean = 0, variance = 1). This is crucial for algorithms sensitive to feature scales, such as clustering or regression models."
      ],
      "metadata": {
        "id": "3qbSVfMK3DNd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Convert the 'Date' column to datetime format"
      ],
      "metadata": {
        "id": "tQ3Mzmtwz5QS"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data['Date'] = pd.to_datetime(data['Date'])  # Convert 'Date' column to datetime format"
      ],
      "metadata": {
        "id": "7df3_Ic3z5To"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "h6fnq8xKz5W7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Extract date features"
      ],
      "metadata": {
        "id": "pen2Se0nvovm"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data['Year'] = data['Date'].dt.year  # Extract year from 'Date' column"
      ],
      "metadata": {
        "id": "YTojQskYveQx"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data['Month'] = data['Date'].dt.month  # Extract month from 'Date' column"
      ],
      "metadata": {
        "id": "LxOlEoCuvIrv"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data['Day'] = data['Date'].dt.day  # Extract day from 'Date' column"
      ],
      "metadata": {
        "id": "S3jM_pkZvIwo"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "vMBQWPEZ0WxD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Nhh3UUblz5co"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "tmdmulb9z5fN"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## <span style=\"color:#1f77b4\">3. Data Visualization</span>\n",
        "\n",
        "### <span style=\"color:#ff7f0e\">3.1. Plot of High and Low Prices Over Time</span>\n",
        "\n",
        "- **Objective**: Visualize the fluctuation in high and low prices to understand trends and price volatility.\n",
        "- **Actions**:\n",
        "  - **Create Line Plot**: Use `plt.plot()` to create a line plot of high and low prices over time. Set distinct colors and labels for each price type to enhance clarity.\n",
        "  - **Enhance Plot**: Add a title, x-axis label, y-axis label, and legend to make the plot informative and easy to interpret.\n",
        "\n",
        "### <span style=\"color:#2ca02c\">3.2. Volume of Trades Over Time</span>\n",
        "\n",
        "- **Objective**: Examine the trading volume to identify trends, peaks, and troughs in trading activity.\n",
        "- **Actions**:\n",
        "  - **Create Line Plot**: Use `plt.plot()` to visualize the volume of trades over time. Differentiate the volume line with a unique color.\n",
        "  - **Enhance Plot**: Include title, x-axis label, y-axis label, and legend to ensure the plot conveys clear information.\n",
        "\n",
        "### <span style=\"color:#d62728\">3.3. Market Capitalization Over Time</span>\n",
        "\n",
        "- **Objective**: Analyze the market capitalization over time to assess growth or contraction in the market value of the cryptocurrency.\n",
        "- **Actions**:\n",
        "  - **Create Line Plot**: Utilize `plt.plot()` to plot market capitalization over time. Choose a distinct color for the market cap line.\n",
        "  - **Enhance Plot**: Add relevant titles, axis labels, and a legend to provide context and improve readability.\n",
        "\n",
        "### <span style=\"color:#9467bd\">3.4. Distribution of 'Close' Prices</span>\n",
        "\n",
        "- **Objective**: Understand the distribution of closing prices to analyze price trends and detect potential anomalies.\n",
        "- **Actions**:\n",
        "  - **Create Histogram**: Use `sns.histplot()` to create a histogram of closing prices. Overlay a Kernel Density Estimate (KDE) for a smoothed representation.\n",
        "  - **Enhance Plot**: Add a title to the histogram to indicate what is being represented and ensure that the plot is easily interpretable.\n",
        "\n",
        "### <span style=\"color:#8c564b\">3.5. Close Price Over Time</span>\n",
        "\n",
        "- **Objective**: Visualize the closing price trends over time to identify patterns and long-term movements.\n",
        "- **Actions**:\n",
        "  - **Create Line Plot**: Use `plt.plot()` to display closing prices over time.\n",
        "  - **Enhance Plot**: Add a descriptive title, x-axis label, and y-axis label to make the plot informative and clear.\n",
        "\n",
        "### <span style=\"color:#e377c2\">3.6. Correlation Heatmap</span>\n",
        "\n",
        "- **Objective**: Explore the relationships between different numerical features to understand their correlations and potential multicollinearity.\n",
        "- **Actions**:\n",
        "  - **Create Heatmap**: Use `sns.heatmap()` to visualize the correlation matrix of the features. Annotate the heatmap to display correlation coefficients.\n",
        "  - **Enhance Plot**: Set a title and use a color map that effectively represents correlation values to make the heatmap easy to interpret."
      ],
      "metadata": {
        "id": "DIcdmZIU3IY7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot of High and Low Prices Over Time"
      ],
      "metadata": {
        "id": "OYoRYQ7syAha"
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(14, 7))  # Set figure size for the plot\n",
        "plt.plot(data['Date'], data['High'], label='High Price', color='green')  # Plot 'High' prices\n",
        "plt.plot(data['Date'], data['Low'], label='Low Price', color='red')  # Plot 'Low' prices\n",
        "plt.title('High and Low Prices Over Time')  # Set the title of the plot\n",
        "plt.xlabel('Date')  # Set the x-axis label\n",
        "plt.ylabel('Price')  # Set the y-axis label\n",
        "plt.legend()  # Show legend\n",
        "plt.show()  # Display the plot"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        },
        "id": "xGgVD-9GyAkW",
        "outputId": "acd96a12-e6e5-4a26-a8df-e16d507b1727"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x700 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Yd7hhmxFyAqJ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "0AomV8x_yAs3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Volume of Trades Over Time"
      ],
      "metadata": {
        "id": "q4sxbLRAyAvR"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(14, 7))  # Set figure size for the plot\n",
        "plt.plot(data['Date'], data['Volume'], label='Volume', color='blue')  # Plot trading volume\n",
        "plt.title('Volume of Trades Over Time')  # Set the title of the plot\n",
        "plt.xlabel('Date')  # Set the x-axis label\n",
        "plt.ylabel('Volume')  # Set the y-axis label\n",
        "plt.legend()  # Show legend\n",
        "plt.show()  # Display the plot"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        },
        "id": "lvpnzQDhyJMq",
        "outputId": "10768295-8095-41c7-ff7e-fcf9cd87fa65"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x700 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "MwVWefDByJQP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "f4k5whxIyJTs"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Market Capitalization Over Time"
      ],
      "metadata": {
        "id": "vxwuHDznyA0Q"
      },
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(14, 7))  # Set figure size for the plot\n",
        "plt.plot(data['Date'], data['Marketcap'], label='Market Capitalization', color='purple')  # Plot market capitalization\n",
        "plt.title('Market Capitalization Over Time')  # Set the title of the plot\n",
        "plt.xlabel('Date')  # Set the x-axis label\n",
        "plt.ylabel('Market Cap')  # Set the y-axis label\n",
        "plt.legend()  # Show legend\n",
        "plt.show()  # Display the plot"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 531
        },
        "id": "s0E27jivyA27",
        "outputId": "374e1a18-7c0f-4145-9ccb-a434853e5393"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "PHxHWtpAyVCB"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "EBc8VHCWyVxj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Q9BD_bwQvIzf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Drop irrelevant columns"
      ],
      "metadata": {
        "id": "1hypCzhrvI6f"
      },
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data = data.drop(columns=['SNo', 'Name', 'Symbol'])  # Drop columns not needed for analysis"
      ],
      "metadata": {
        "id": "rAYOG05zvJAZ"
      },
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "9gRtV6_cvJC3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "P1wd8B6I3epS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "G8G-taSk3h1c"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## <span style=\"color:#1f77b4\">4. Outlier Detection and Handling</span>\n",
        "\n",
        "### <span style=\"color:#ff7f0e\">4.1. Outlier Detection Using IQR Method</span>\n",
        "\n",
        "- **Objective**: Identify and remove outliers in numerical features to ensure the accuracy and reliability of the analysis.\n",
        "- **Actions**:\n",
        "  - **Define Function**: Create a function `remove_outliers()` that uses the Interquartile Range (IQR) method for outlier detection.\n",
        "    - **Calculate Quartiles**: Compute the first quartile (Q1) and the third quartile (Q3) for the given column.\n",
        "    - **Compute IQR**: Calculate the IQR by subtracting Q1 from Q3.\n",
        "    - **Determine Bounds**: Define the lower and upper bounds for outlier detection as Q1 - 1.5 * IQR and Q3 + 1.5 * IQR, respectively.\n",
        "    - **Filter Data**: Return only the rows where the column values are within the calculated bounds.\n",
        "  - **Apply Function**: Use the `remove_outliers()` function to process columns of interest: 'High', 'Low', 'Open', 'Close', 'Volume', and 'Marketcap'.\n",
        "    - **Iterate Over Columns**: Loop through the specified columns and apply the function to remove outliers.\n",
        "\n",
        "### <span style=\"color:#2ca02c\">4.2. Handling Missing Values</span>\n",
        "\n",
        "- **Objective**: Ensure that missing values are addressed to prevent issues in data analysis.\n",
        "- **Actions**:\n",
        "  - **Review Missing Values**: Since the dataset does not have missing values (as previously confirmed), no further action is needed for missing values in this case.\n",
        "  - **Documentation**: Note that missing values handling is not required in this step due to the absence of missing data.\n",
        "\n",
        "### <span style=\"color:#d62728\">4.3. Encoding Categorical Values</span>\n",
        "\n",
        "- **Objective**: Prepare the data for modeling by encoding categorical variables if any are present.\n",
        "- **Actions**:\n",
        "  - **Check for Categorical Data**: Since there are no categorical values in this dataset, no encoding is needed.\n",
        "  - **Documentation**: Confirm that encoding of categorical values is not necessary for this dataset."
      ],
      "metadata": {
        "id": "loLfML8I3iCL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Handling missing values"
      ],
      "metadata": {
        "id": "ctCBTfJGvJFf"
      },
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# In this case, we see that there are no missing values, so no action needed"
      ],
      "metadata": {
        "id": "z8_ZgydvvJH3"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "O6ZwWPh3vJKJ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Encoding categorical values"
      ],
      "metadata": {
        "id": "IifGvgjxvJO3"
      },
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# No categorical values in this dataset, so no encoding needed"
      ],
      "metadata": {
        "id": "981daUCOvJYf"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "rlEGy7NWvJbH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Outlier detection and handling"
      ],
      "metadata": {
        "id": "mNY0-JJZvJdt"
      },
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# We will use IQR method to detect and remove outliers"
      ],
      "metadata": {
        "id": "othSfxiGvJgP"
      },
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def remove_outliers(df, column):  # Define a function to remove outliers using IQR method\n",
        "    Q1 = df[column].quantile(0.25)  # Calculate the first quartile (25th percentile) of the column\n",
        "    Q3 = df[column].quantile(0.75)  # Calculate the third quartile (75th percentile) of the column\n",
        "    IQR = Q3 - Q1  # Calculate the Interquartile Range (IQR)\n",
        "    lower_bound = Q1 - 1.5 * IQR  # Calculate the lower bound for outlier detection\n",
        "    upper_bound = Q3 + 1.5 * IQR  # Calculate the upper bound for outlier detection\n",
        "    return df[(df[column] >= lower_bound) & (df[column] <= upper_bound)]  # Return rows where column values are within bounds\n",
        ""
      ],
      "metadata": {
        "id": "LjLkK2LjvJim"
      },
      "execution_count": 45,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "v8X8b_n5we6L"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "dALcO38Dwe9T"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "columns_to_check = ['High', 'Low', 'Open', 'Close', 'Volume', 'Marketcap']  # List of columns to check for outliers"
      ],
      "metadata": {
        "id": "IKS2MtddwfAO"
      },
      "execution_count": 46,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for column in columns_to_check:  # Loop through each column\n",
        "    data = remove_outliers(data, column)  # Remove outliers from the column"
      ],
      "metadata": {
        "id": "3nmPv-tGwfDF"
      },
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "ECk4Xo5JwfHm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "MoLgmRt1wfK1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "1XZNkfHH3qpm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## <span style=\"color:#1f77b4\">5. Scaling Numerical Values</span>\n",
        "\n",
        "### <span style=\"color:#ff7f0e\">5.1. Feature Scaling Using StandardScaler</span>\n",
        "\n",
        "- **Objective**: Normalize the numerical features to ensure that all features contribute equally to the analysis and model performance.\n",
        "- **Actions**:\n",
        "  - **Initialize StandardScaler**: Create an instance of `StandardScaler` from scikit-learn.\n",
        "  - **Apply Scaling**: Use the `fit_transform()` method of `StandardScaler` to scale the following numerical columns:\n",
        "    - 'High'\n",
        "    - 'Low'\n",
        "    - 'Open'\n",
        "    - 'Close'\n",
        "    - 'Volume'\n",
        "    - 'Marketcap'\n",
        "  - **Scaling Process**:\n",
        "    - **Fit**: Compute the mean and standard deviation of each column.\n",
        "    - **Transform**: Standardize the columns by subtracting the mean and dividing by the standard deviation.\n",
        "  - **Update Data**: Replace the original columns in the DataFrame with the scaled values.\n",
        "\n",
        "### <span style=\"color:#2ca02c\">5.2. Impact of Scaling on Analysis</span>\n",
        "\n",
        "- **Objective**: Understand the effect of feature scaling on the data and subsequent analyses.\n",
        "- **Actions**:\n",
        "  - **Review Scaled Data**: Check the scaled values to ensure they are standardized correctly.\n",
        "  - **Documentation**: Note that scaling helps to bring all numerical features to a common scale, which is crucial for many statistical analyses and machine learning algorithms."
      ],
      "metadata": {
        "id": "IWjlu_BX3q0y"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Scaling numerical values"
      ],
      "metadata": {
        "id": "SsusK0EmvJoH"
      },
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "scaler = StandardScaler()  # Initialize the StandardScaler"
      ],
      "metadata": {
        "id": "bj6rTQkmvJqw"
      },
      "execution_count": 49,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data[['High', 'Low', 'Open', 'Close', 'Volume', 'Marketcap']] = scaler.fit_transform(data[['High', 'Low', 'Open', 'Close', 'Volume', 'Marketcap']])  # Scale numerical features\n"
      ],
      "metadata": {
        "id": "2k5ae-sdvJs8"
      },
      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "1hBL-9fhvKz_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "31dvp9BYvK3S"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "9eYzZRZb3z0t"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## <span style=\"color:#1f77b4\">6. Visualizations</span>\n",
        "\n",
        "### <span style=\"color:#ff7f0e\">6.1. Distribution of 'Close' Prices</span>\n",
        "\n",
        "- **Objective**: Analyze the distribution of the 'Close' prices to understand their frequency and overall distribution pattern.\n",
        "- **Actions**:\n",
        "  - **Plot Histogram**: Create a histogram with Kernel Density Estimate (KDE) to visualize the distribution of 'Close' prices.\n",
        "    - **Histogram**: Shows the frequency of different price ranges.\n",
        "    - **KDE**: Provides a smooth estimate of the probability density function.\n",
        "  - **Interpretation**: Review the histogram to identify the shape of the distribution, any potential skewness, or concentration of values.\n",
        "\n",
        "### <span style=\"color:#2ca02c\">6.2. Close Price Over Time</span>\n",
        "\n",
        "- **Objective**: Examine how 'Close' prices have changed over time to identify trends and patterns.\n",
        "- **Actions**:\n",
        "  - **Plot Line Graph**: Create a line plot of 'Close' prices against the 'Date' to visualize changes over time.\n",
        "    - **X-Axis**: Date\n",
        "    - **Y-Axis**: Close Price\n",
        "  - **Interpretation**: Observe trends, fluctuations, and potential seasonality in the 'Close' prices. Look for any noticeable upward or downward trends.\n",
        "\n",
        "### <span style=\"color:#d62728\">6.3. Correlation Heatmap</span>\n",
        "\n",
        "- **Objective**: Understand the relationships between different numerical features in the dataset.\n",
        "- **Actions**:\n",
        "  - **Plot Heatmap**: Generate a heatmap showing the correlation coefficients between numerical features.\n",
        "    - **Correlation Coefficient**: Indicates the strength and direction of the linear relationship between pairs of features.\n",
        "  - **Interpretation**: Analyze the heatmap to identify strong correlations, potential multicollinearity issues, and relationships that could impact further analysis or modeling."
      ],
      "metadata": {
        "id": "zXxCpLqF30GH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Visualizations"
      ],
      "metadata": {
        "id": "kr3ps0vZvK8y"
      },
      "execution_count": 51,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Distribution of 'Close' prices"
      ],
      "metadata": {
        "id": "-esl37GuvK_f"
      },
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 6))  # Set figure size for the plot\n",
        "sns.histplot(data['Close'], kde=True)  # Plot the histogram of 'Close' prices with KDE\n",
        "plt.title('Distribution of Close Prices')  # Set the title of the plot\n",
        "plt.show()  # Display the plot"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "GXT6q8HCvLE6",
        "outputId": "6c4dfc0b-b74c-4ff9-bc59-775c05fda1bf"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "p_m-taayvLHh"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "-BK3dRmTvLMf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Close price over time"
      ],
      "metadata": {
        "id": "ItG3hw1YvLO3"
      },
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(14, 7))  # Set figure size for the plot\n",
        "plt.plot(data['Date'], data['Close'])  # Plot 'Close' prices over time\n",
        "plt.title('Close Price Over Time')  # Set the title of the plot\n",
        "plt.xlabel('Date')  # Set the x-axis label\n",
        "plt.ylabel('Close Price')  # Set the y-axis label\n",
        "plt.show()  # Display the plot"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 520
        },
        "id": "5CE8PtDovLVT",
        "outputId": "48f92d0b-9598-4f5b-fbbf-6baad1946f75"
      },
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "TtxAGPGivLXy"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "-Fp0JCxFvLeP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Correlation heatmap"
      ],
      "metadata": {
        "id": "kE4_B0qZvLgg"
      },
      "execution_count": 56,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 6))  # Set figure size for the plot\n",
        "sns.heatmap(data.corr(), annot=True, cmap='coolwarm')  # Plot heatmap of feature correlations\n",
        "plt.title('Correlation Heatmap')  # Set the title of the plot\n",
        "plt.show()  # Display the plot"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 604
        },
        "id": "j7afDcpovLir",
        "outputId": "b76f81a1-cf68-47d8-d85b-4db210effa09"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 2 Axes>"
            ],
            "image/png": 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0Gq9L2du3b6dXr152aX369GH79u3XpXxHtJVWsijXCl3j6q5Ctbh14WPVXYXqYTFXdw2EqHQ5f+yv7ipUi6LMvOquQrVIPXqxuqtQLRKmb67uKlSLfYdN1V2FavHafwzVXYVyVea55O4XhzFt2jS7tClTpjB16tRrLvvChQsEBgbapQUGBpKTk0NhYSHOzs7X/Bp/JZ0dIYQQQgghBACTJk3i6aeftkszGGpux+9qpLMjhBBCCCFELaLSqSqtbIPBUGmdm6CgIC5etB8ZvnjxIh4eHpUyqgOyZkcIIYQQQghRBWJjY1m7dq1d2u+//05sbGylvaaM7AghhBBCCFGLqLWVN7LzT+Tl5XHixAnb41OnTrFv3z58fHwIDw9n0qRJnD9/nq+//hqARx55hFmzZvH888/zn//8h3Xr1rFo0SJWrFhRaXWUkR0hhBBCCCHEP7Znzx7atm1L27ZtAXj66adp27YtL7/8MgDJycmcPXvWFh8VFcWKFSv4/fffad26Ne+88w5ffPEFffr0qbQ6ysiOEEIIIYQQtYhKVzPGK2655Rb+7padc+fOdZjnzz//rMRa2ZPOjhBCCCGEELVITZnGVhvUjG6hEEIIIYQQQlxnMrIjhBBCCCFELVKZW0/XNTKyI4QQQgghhKiTZGRHCCGEEEKIWkTW7FScjOwIIYQQQggh6iQZ2RFCCCGEEKIWkTU7FScjO0IIIYQQQog6SUZ2hBBCCCGEqEVkzU7FSWdHCCGEEEKIWkSlkc5ORdWpzs7o0aOZN28eAFqtFh8fH1q1asWwYcMYPXo0anXFZu3NnTuXp556iqysrEqsbdXx6dqe+s+MxbNdC5xCAthz12Nc/HltdVfrX1uw/SDzNu0jLa+ARkG+TBzcjZZhgeXG5xQamfXbTtbGJZBdUESwlzvPD+xKtyYRAHy5YS9rDyVwKjULg05Lm4ggnurbiUh/76pqUoUs2BHHvC37ScsrpFGQDxMHdqFlvYBy43MKjcxas5u1cafILjSWtLt/LN0ahwOwaOdhFu06TFJWLgDRAd483KMdXRuFV0l7Kup6t/tKX27cxwe/72JEbAueH9C5Mpvxj92on7dzp1txubk/ajdPzBcSyf15PuZzCQ5jvR6chL5+0zLpxiP7yJ43EwCVmwdufYeib9gCtZMLxaePkvfzfCzpFyu1Hf+UW/e+eNw2BI2HF8XnTpO58AuKT58oN96950Dcbu6DxscPa14uBX9uJ+unb8BsKinv5j643dwHrW/Jz4wpOZHsFYsoivuzStpTUf5D7iRw6HB0Pj4UnjzB2Q/epeBIvONgjYbgESPxva0fOn8/ihLPcv7Tj8nZvdMW4taqNYFDh+PSqAl6Pz9OTJ5I9tbNVdSaitux5lu2/PoVedlpBIU1YeD9L1IvupXD2IvnjrP2pw9JOh1HVloS/YdPpHOfUXYxM565lay0pDJ5O946jEEjX66UNlREx6ZqurXQ4uYMFzIVlm83cy5NKTe+RaSaXu00eLmpSM9RWL3HwrFzVruYW9tquKmxBic9nElR+HmbmfScsmVq1PDoIB3BvmpmLS0mOaP81xV1W53q7AD07duXOXPmYLFYuHjxIqtWrWLChAksWbKEn3/+Ga22zjX5qjSuLuQcOEri3B9ov+Sj6q7ONVl14DgzVmxl8pDutAwL5NutB3j0q+Use2YYvm4uZeJNZguPfPkzPm7OzBjehwBPV5Izc3F3Nthi9iQkMTS2Jc3rBWCxWvlw9Q4e+eoXfvzvMFz0uqpsXrlWHTzJjF+3M3lwN1qGBfDttoM8Oncly54aiq+bc5l4k9nCI3NX4uPqxIxhvQnwcCU5Kxd3p9J2B3i6MuG2DoT7eqKg8Mufx5jw7W8sfOxOGgT6VGXzylUZ7b7s0LkUluyOp1FQzWjrlW7Uz9vQsiNuA4aTu3QupsSTuHTpg9d/niP9nedR8nPLxGd/8wEqTel3usrFDZ8nX8V4cJctzeuBp1AsZrLnv4dSVIhL1754jX2B9Hcngqm4Stp1NS4xXfC+ewwZ332K8fQxPHoOJOCJl0ma+gTW3Oyy8Td1w+uO+0n/+iOMCUfQBYTgM+oJUBSylswFwJKZTtbSbzCnJAPgGtsD/0cncuG1ZzElJ1Zl88rl3eNW6j36BGfffZv8+MME3H0vDd+aSdzIYZgdXGwMHfsQPr36cOadNyk6ewaPmzoQ/cp0jjz+MIUnjgOgdnKm8OQJ0n9dQfQr06u4RRVzcOdKfv3+TQaPmkpYdCu2rf6auTMe5Kk3V+Lm4Vsm3lRchI9/GC1u6sPK795wWOajUxZjtVpsjy+eP87ct8bS/Ka+ldaOq2kZpaZ/By3LtplJTFXo0lzD6D463v2hmPyisvHhASruvUXLb3ssHE200jpazYhbtXy0zERKVklHpVtLDbHNNPyw2UxGrkLvdiVlvv9jMWaLfXl9b9KQU6AQXPYtrRPUMrJTYXVugwKDwUBQUBChoaG0a9eO//3vfyxbtoxff/2VuXPnAjBz5kxatmyJq6srYWFhPPbYY+Tl5QGwYcMGxowZQ3Z2NiqVCpVKxdSpUwEwGo08++yzhIaG4urqSseOHdmwYUP1NPQfSF29iWNT3uPisjXVXZVrNn/zfu68qRlD2jclOtCHyUO646TXsnTPEYfxP+2NJ7vQyLsP9KNtZDCh3h60rx9K42A/W8zH/xnE7TFNaBDoQ+NgP/7v7ltJzsoj/nxqVTXrquZvPcCd7ZswJKYx0QHeTB7cDSedlqV7jzqM/+mPo2QXFPHuiD60jQgi1Nud9lEhNL7iW/+WJhF0axxOhJ8nkX5ePNG7Ay56HQcSU6qqWVdVGe0GKDCamLR4PVOGdMPDQUeout2on7dLt74U7t5A0d7NWFKSyF06F6XYiHP77g7jlcJ8rHnZtkPfsAWKqZiiS50djV8QuvAG5C6dh/ncKSxpF8hdNg+VTo9T69iqbNrfcu81iLytv5O/fR3m5HNkfPcpVpMRt849HcYbohtjPHmEgt2bsaSnUhS/n4LdW9BHNrTFFB7cQ9GhPzCnJGNOSSZ72XdYjUXooxpVVbOuKvCeoaSt+IX0VSspOnOaszPfxlpkxLffQIfxPr37cuG7r8nZuZ3i5CTSfl5K9s7tBN47zBaTs2sHSV99TtaWTVXVjH9s66p5tO9+DzE330lAaAMGj56KTu/E3k0/OoyvV78lfe97jladBqDV6R3GuHr44O7lbzuO7tuAT0A4UU1uqsym/K0uLTTsOWrlj+NWUrMUlm01YzJDTCONw/jYZhqOn7Oy5ZCF1GyFNX9YSEpXiG1WGt+luYYN+y3En7VyMVNh8SYz7s7QNNz+dLZRPTUNQtX8utvy15cRN6A619lxpGfPnrRu3Zoffyz5IlGr1XzwwQfExcUxb9481q1bx/PPPw9A586dee+99/Dw8CA5OZnk5GSeffZZAB5//HG2b9/OggULOHDgAPfccw99+/bl+PHj1da2G4nJbCE+KZVODerZ0tRqFZ2i63Hg7AWHeTYePk2r8ECmL9tMj9fmcOd7C/hi/V4sVqvDeIC8opKrvR7ONeMkuKTdaXSK/mu7QzmQ6HgqzsYjZ0ra/csWekyfz50fLOaLDX+W226L1cqvB05QWGyidXj5UwKrUmW2+/VftnBz4zC7n6Wa4kb9vNFo0IZEUnwirjRNUSg+eRhdeIMKFeHc/maMB3aUjthcHvW5NLXrcpmK2YQusoac9Gu06MOjKYo/UJqmKBTFH0Bfv7HDLMaTR9GHR6OPLHlfNH6BOLdoR9GhPxy/hkqNS/suqPVOGE857jBXNZVWi0ujxuTs3V2aqCjk/rEHt+YtHOZR63RYi+1H46xGI24tHU//qonM5mKSTscR3by0s61Wq4luHkviiX3X7TX2b/uFdjffiUpVPVf/NWoI8VVxIqn0O0gBTiRZCfd3XKfwADUnk+ynmp04byUsoCTe2x3cXVScvKJMownOpSqEB5SW6eoEQ7poWbLRjMlcd6euqdSqSjvqmhtmTleTJk04cKDkj8lTTz1lS4+MjOTVV1/lkUceYfbs2ej1ejw9PVGpVAQFBdnizp49y5w5czh79iwhISEAPPvss6xatYo5c+bw+uuvV2l7bkSZBUVYrEqZ6Wq+7s6cSs10mOdcZg5JCbn0b9OQj0YP4Gx6Nq8v3YTZYuWRXmWveFmtCm8t30KbiCAaBtWMse/SdttPX/J1c+ZUWpbDPOcyckjKyqN/qwZ8NLIvZzNyeP3nLZitVh7pGWOLO34hgwc+W0qx2YKLXse7w28jOqBmrFWqrHb/euAE8clpfPfIHZXdhH/lRv281S7uqDQarHk5dunW3Gy0/sFXza+tVx9tUBg5P3xpS7OkJmPJTMO1zz3k/jQHxWTEpUtfNF6+qN29rncT/hWNW0m7LTlZdunW3Cx0QaEO8xTs3ozazZ3AZ18DlQqVRkvuxlXkrPrBLk4XEk7g89NR6fQoxiJSP30Tc/K5ymrKP6L19EKl0WLOzLBLN2Vm4BTueB1Zzp6dBN5zH3n792FMOo97u/Z4d+sOFVyPWxMU5GZhtVpw87T/++Lm6Uta8qnr8hrxe9dSVJBLu67V9x3nYgCNWkVeoX1nI69Qwd/L8efl5gx5RWXj3Z1LTr4v/1umzCIFN+fSE/S7b9ax64iF8+kKXm7X3BRRB9wwnR1FUWxXONasWcP06dM5cuQIOTk5mM1mioqKKCgowMWl7LoPgIMHD2KxWGjUyP5qoNFoxNe3/JNio9GI0Wi0SzMpVnSq2vPlXJtZrQo+rs68fMctaNRqmoUGkJKdz7zN+xx2dl7/eRMnL2Ywt4aeCFeUVQEfVydeHtLtUrv9ScnJZ97m/XYnv5F+niwafxd5RcX8HneKl37YwJfjBtWYE+B/6mrtvpCVx1srtvPpmP4YdHXn6+9G/byv5Nz+ZszJZ+03M7BayP7mA9zvGov/lE9QLBaKT8ZhPLq/+ip6HRgaNcez711kfP85xaeOoQ0Ixvve/2DJvoeclYttcaaLSVx47RlUzi64tIvFd9QTXJz5Uo3p8PxTiR++T8SzL9B83neAgvF8EmmrVuBXzrS3G9XeTT/QsFU3PLzL39CkroptpkGvg40H6v70NZVGziMrqu78tb+K+Ph4oqKiOH36NAMHDuTRRx/ltddew8fHhy1btjB27FiKi4vL7ezk5eWh0WjYu3cvGo39fFM3t/IvHUyfPp1p06bZpQ1T+TBC41dODlEebxcnNGoV6XkFdunpuYX4uTv+3Pw9XNGq1WiuuPJXP8CbtNwCTGYLOm3pZ/n6sk1sOnKarx66g0DPmnM5qLTdhXbp6XmF+DnYlAHA392lbLv9vUjLK7Rrt06rIdzXE4Bmof7EnUvl220HeXnIzZXUmoqrjHYfTkojI7+Q+2aXzo23WBX2nklmwc44dk8da5e3Otyon7e1IBfFYkHt5mGXrnb3dLhI345Oj6F1J/J/L7vmwZx0mswPX0JlcAatFiU/F+/HpmA6d32uol8rS15JuzUeXnbpanevMqM9l3kOGkb+zo3kby1Zh2lKOotKb8Dn/kfJ+XUJKJeufFvMmFNLpvhmn03AENEA9x4Dyfzuk8pqToWZs7NQLGa03vabY+i8fTBlZJSb5+RLk1Dp9Gg9PTClpRH60KMYk8vuQlZTubh7oVZryMtOt0vPy07HzfPazwsy085zMm47w5/84JrLuhYFxpLv1pIRl9KRGDdnFXkFjqeW5RWCm5P9FCo3ZxW5l0ZyLv97ZRqU5EnOKJnaVj9YRbi/immj7Nc2PTpYx/6TVn7YbL7mtona54boFq5bt46DBw9y1113sXfvXqxWK++88w6dOnWiUaNGJCXZf1Hq9XosFvurAm3btsVisZCSkkKDBg3sjiunu/3VpEmTyM7OtjvuVdeMnY9qG51WQ9MQf3aePG9Ls1oVdp48R6twx59Bm4ggEtOzsVpLvxjPpGXh7+5iOwFUFIXXl21i3eFTfD7udur5eDgsq7qUtNuPnQl/aXdCEq3K2XK7TXggiRl/bXe2XbsdsSoKJkv565mqUmW0u2N0CEueuJuF4++yHc1D/enfqgELx99V7R0duHE/bywWzEmn0Uc3L01TqdBHN8N0tvwtmAGcWnZApdFStG9buTGKsRAlPxeNbyDa0CiK48tZ31LVLGaKz57EqckV605UKpyatKI4wfH6GrXeUNqhucy2Putv5tur1KhqyIimYjZTcOwoHu3alyaqVLi3iyEv7tDf5zUVY0pLA40Gr5tvIasGbi1dHq1WT0hkcxIO77ClWa1WEg7vIKxBm2su/4/NP+Hq4UOj1o439agqFiskpStEh5R+p6qA6BA1Z1Mdd3bOpliJDrH/+Y0OUZOYUhKfmQu5BQr1ryjToIN6/irOXopZvsPMh0tNzLp0fP1byXq9hevN/L63bnV01BpVpR11Tc341ruOjEYjFy5csNt6evr06QwcOJCRI0dy6NAhTCYTH374IYMGDWLr1q188on9Va7IyEjy8vJYu3YtrVu3xsXFhUaNGjFixAhGjhzJO++8Q9u2bUlNTWXt2rW0atWKAQMGOKyPwWDAYLBf6F7VU9g0ri64NiidA+0SVQ+P1k0ozsimKDG5SutyrR7o1pqXFq+jeag/LcIC+GbrAQqLzQyJaQLAi4vWEODhyoS+JYs/7+3YnAXbD/Lm8i0Mi23J2fQsvtjwB8M7t7SV+fqyTfy6/zjvPdAPV4OetNySkSM3Jz1ONeTE4IEurXjphw00D/GnRT1/vtl2kMJiE0NiSqZVvrhkfUm7b+sAwL0dmrFgZxxvrtzGsE7NOZuewxcb9zE8tvRE8v3fdtG1YRhBXm4UGE2sPHCCPaeT+HhU/2ppoyPXu92uBj0N/7LNsrNOi5eLU5n06nSjft4Fm1fhcc+DmM+fwpSYgEuX21DpDRTuLdlZy/2eh7DmZJK/erFdPqf23TEe/gOlIK9MmYYWN2HNz8WSlY42KAz3QSMwHt5L8fG/P6GuSrlrfsF39BMUnzmB8fRx3HsOQq03kLdtHQC+o5/EnJVO9tJvgZKd1txvHURxYgLGU8fRBQTjOXgYhQf2gFLS6fEcMoKiQ39izkxFbXDGpUM3DI2ak/PhK9XWzr+6uHghkRNfJP/YEQoubT2tdnIifdUKACInTaY4NY2kL0r+Rrs0bYbez5+CE8fR+/kTPPo/qFQqLn7/ra1MtZMzhtDSzT0MwSE4RzfEnJuDKaVm3FupS99R/PD5JEKiWlCvfku2rf6aYmMhMd1Kpk8v+fQFPLwDue3ep4GSDQdSz58EwGI2kZOZQvKZePROLvgGRtjKtVqt/LH5R9p2HYJGU/1/u7YesnBXNy3n09ScS1Xo3FyDXgt7j5VcTL77Zi05+Qq/7S15vP2whXH9dXRpoeFoopVW9dWE+qlYurW0k7I1zkKP1hrSsxUy8xR6tdOQWwjxZ0t+7rPz4cqRpOJLWTNyFXLsJ4XUenVxI4HKUv2/DdfZqlWrCA4ORqvV4u3tTevWrfnggw8YNWoUarWa1q1bM3PmTN58800mTZrEzTffzPTp0xk5cqStjM6dO/PII48wdOhQ0tPTmTJlClOnTmXOnDm8+uqrPPPMM5w/fx4/Pz86derEwIE1e76wZ0wLYtfOtz1uNuN/ACR+/SMHxk6qrmr9K31bNSQzr4jZa3aRlltA42A/Zo8ZiO+laWwXsvJQX7H7TJCXOx+PGcTbK7ZyzwcLCfBwZUTnVozp3tYWs2hnye5PYz9fZvda/3d3T26/1Imqbn1bRpOZX8jstXtIyyugcbAvs0f1t23WULbdbnw8qj9vr9zOPbN+IMDdhRGxLRhzc2tbTEZeIZN/WE9qbgFuTnoaBfry8aj+xNagHcoqo921wY36eRsP7iTPzR3XXneidvfEnHyWrDlvo1zatEDj5VtmREPjF4Q+qjGZX77psEy1hxduA4ajdvPEmptF0Z9byV+3tLKb8o8U7N2K2t0Dz0HDLt1U9BQpH75im76n8fFDUUpH4LJXLkZRFDwHD0fj5YM1L4fCA3vIWlZ60q9x98R3zJNoPLyxFhZgOn+a1A9foSi+5qxXyly/Fq2nFyGjx126qehxjr/wDObMkg1n9AGBKFeMVqr1ekL+8yCGkBCshYVk79zO6ddfwZJf2sl1adyExu/Nsj0OG/8kAGmrVnLmzdeqqGV/r2XH/uTnZLL2xw/Iy04jOLwpo579zDaNLSsjGdUVo8y5mal89PKdtsdbfv2KLb9+RWSTmxg36Wtb+sm47WSnJxNzc2lsdTp4yoqrk5lb22lxd4bkDIW5v5ls99jxdFXZ/TqfTVFYtMFMrxgNt8VoSM9R+Hat2XaPHYDNBy3otSW7rV2+qejc1aYy99gR4koqRfnrWLiobCt0jrcTretuXfhYdVeheljq1tC5EI7k/FFzTqKrUlFm2dGkG0Hq0ZoxSlLVEqbXnilz19O+w6arB9VBr/2nZtyCwpHdXTtVWtk3bdlx9aBapPonqAshhBBCCCFEJahz09iEEEIIIYSoy1R1cCOByiIjO0IIIYQQQog6SUZ2hBBCCCGEqEVUNeBWCbWFvFNCCCGEEEKIOklGdoQQQgghhKhF5D47FSedHSGEEEIIIWoRtWxQUGEyjU0IIYQQQghRJ8nIjhBCCCGEELWITGOrOBnZEUIIIYQQQtRJMrIjhBBCCCFELSJbT1ecvFNCCCGEEEKIOklGdoQQQgghhKhFZM1OxcnIjhBCCCGEEKJOkpEdIYQQQgghahG5z07FSWdHCCGEEEKIWkSmsVWcTGMTQgghhBBC1EkysiOEEEIIIUQtIltPV5x0dqrBrQsfq+4qVIu1Q2dXdxWqhUonQ82i7ot9qWd1V6FanN12vLqrUC2aT3uyuqtQLQ4X35gnmBaLUt1VEOJfk86OEEIIIYQQtYis2am4G/MShRBCCCGEEKLOk5EdIYQQQgghahEZ2ak4GdkRQgghhBBC1EkysiOEEEIIIUQtIiM7FSedHSGEEEIIIWoR2Xq64uSdEkIIIYQQQtRJMrIjhBBCCCFELaLWyDS2ipKRHSGEEEIIIUSdJCM7QgghhBBC1CKyQUHFyciOEEIIIYQQok6SkR0hhBBCCCFqEdmNreLknRJCCCGEEELUSTKyI4QQQgghRC0ia3YqTkZ2hBBCCCGEEHWSjOwIIYQQQghRi8jITsXdsCM7c+fOxcvL6x/lGT16NEOGDKmU+gghhBBCCFERKrW60o66pk6O7IwePZqsrCyWLl1ql75hwwZ69OhBZmYmQ4cOpX///tVTwetkwfaDzNu0j7S8AhoF+TJxcDdahgWWG59TaGTWbztZG5dAdkERwV7uPD+wK92aRADw5Ya9rD2UwKnULAw6LW0igniqbyci/b2rqknXlU/X9tR/Ziye7VrgFBLAnrse4+LPa6u7Wv9axMPDiXpqLIZAP3IPHiHumVfJ3nPQYaxKqyX6uYcIHTEEp5BA8o+d4shLM0j7fYstRuPmSqOXnyRocC/0/r7k7I/n8HOvkb33UFU1qUKk3TdWuw3tbsbQsTdqNw8sKeco+G0RluQzDmPdhj+FLqJRmXTTiUPkLZ4NgMuABzC0irV/PiGOvIUfXf/KXwP/IXcRdN8IdD4+FJw8QeL7M8k/cthhrEqjIej+Ufj26Yfez5+ixLOc+3Q2Obt22GKCRozE++buOIVHYDUayTt0kHOfzsaYeLaqmlQhC9bvYt7vW0nPzqNRvSBeuK8fLaPqOYxdtu1PpsxbZpem12rY9dFLdmkJyam8/+Pv7D12BrPVSv1gf9555F6Cfbwqqxn/2J7137J99ZfkZacSGNaEPsNeIjSqlcPY1PPH2fjzBySfiSM7/Ty9h06iY6/R5Za99dfPWP/jO3S4dSS33fdiJbWgfL1jtNzURIOzHk5ftLJ0i5n0HOVv83RqpqF7Ky1uzpCcofDzNhPnUkvzaDUwoKOWVtEatBo4fs7K0q0m8grty4lpqKFrSw1+niqMJjiYYGHZNnOZ1/P1UPHkHXqsCkz72nhd2i1qrjrZ2akIZ2dnnJ2dq7sa/9qqA8eZsWIrk4d0p2VYIN9uPcCjXy1n2TPD8HVzKRNvMlt45Muf8XFzZsbwPgR4upKcmYu7s8EWsychiaGxLWleLwCL1cqHq3fwyFe/8ON/h+Gi11Vl864LjasLOQeOkjj3B9ovqVknNv9U8F39aPLGROKenErW7v1EPj6KDsu+YGObfhSnZpSJbzRlAqHDBnNw/EvkHU3Av3dXYhbMYnvPYeTsjweg5exXcG/WkH1jX8CYnELosMF0WD6HTTEDMCalVHUTHZJ231jt1jWNwfnWuyhY9T3mpNM43dQTt6FPkPPZVJSCvDLx+T9+BprSP2MqZ1c8xv6P4iN/2MWZTsaRv2J+aYLFVGlt+De8e9xK2PgnOTPzLfIPxxF4z1AazniXQ/ffhzkrs0x8yLiH8e3dlzNvT6fw7Bk8O3SkwatvED/+IQqPHwPAvXVbUn76gfwj8ag0GkIffIRGM94jbtRwrEVFVd1Eh1bvPsQ7S1bz4vCBtIwK5du1O3jsg29YNu1xfDzcHOZxczKw9P8etz1Wqeyn8iSmZjDm7a8Y0qUtjw7qgauzgZNJKRi0Ned0J273Sn5fNJ1+908jNKo1u9bM4/v3xvLoK6tw9fAtE28qLsTLrx5NY/ry+6Lpf1t20qkD/LFxAQH1GldW9f9W99YaOjfXsHijiYxchdtitPynn453lxRjtjjO06q+moGdtPy0xUxiipUuLTSM7adnxiIj+Zd+VAd20tIkXMN3a00UFSsM7qzj/l56Pvml2FZO15YaurXUsnKnicQUBb0OvN3KTvVSq+C+njpOXbASEVh7RzFkGlvF1d5P+Ro5msb26quvEhAQgLu7O+PGjWPixIm0adOmTN4ZM2YQHByMr68v48ePx2Sq+j+c8zfv586bmjGkfVOiA32YPKQ7TnotS/cccRj/0954sguNvPtAP9pGBhPq7UH7+qE0DvazxXz8n0HcHtOEBoE+NA724//uvpXkrDziz6dWVbOuq9TVmzg25T0uLltT3VW5ZlFPjiZxzmLOzf+RvCMnOfTEFCyFRdQbeZfD+NDht3Py7U9JXb2JwtPnOPv5AlJXbyLqyTEAqJ0MBA25jSOTZ5C5dQ8FCWc5/tosChLOEvHgsKps2t+Sdt9Y7Xbq0BPj/q0UH9yBNf0CBau+B3Mx+ladHcYrRQUo+Tm2QxfVBEzFZTo7isVsF6cUFTosr7oE3juMtOU/k/7rCorOnObMO29hLTLi13+gw3jf2/qS/M08sndupzg5idRlP5G9YxtB95Z+lsef/y/pq1ZSdPoUhSdPcHr6qxiCgnFp1KSqmnVV89ds586u7RjSpS3RIQFMHjEQJ72Opdv+LD+TCvw83W2H7186RbOWrqVri4b8967baBIeTJi/D7e0blJu56k67Px9Dm273UubLnfhH9KA/vdPQ6d3Yt/WHxzGh0S1otc9L9C8wwA0Wn255RYX5bP0i+cYMPJVnFw8K6v6f6tLCy3r/jRz+IyVCxkKCzeY8HBR0Syi/NPNri217DpiYe8xCylZCku3mCk2Q/vGGgAMupL/L99h4mSSlfNpCks2mogMUhMWUHLC76yH29prWbTBxP6TVjJyFS5kKMSftZZ5vdtu0pKapXAwoexzom66YTs7f/Xtt9/y2muv8eabb7J3717Cw8P5+OOPy8StX7+ekydPsn79eubNm8fcuXOZO3duldbVZLYQn5RKpwalQ/1qtYpO0fU4cPaCwzwbD5+mVXgg05dtpsdrc7jzvQV8sX4vFmv5v+x5RSVXTDyuGP0RVU+l0+HRtjnp67eVJioKaeu2492xjcM8ar0eS5H90LylsAjvzjElZWq1qLVarI5iYmOua/3/LWn3jdVu1Bo0QeGYTx29IlHBdPoI2tCoChVhaNWZ4sN7wVRsl64Nb4jnk2/i8dAUXPrch8rZ9TpW/NqotFpcGzUmZ+/u0kRFIWfvblybt3CYR63ToxTbt9FqNOLWsnW5r6NxKznZN+fmXHulrwOT2Uz82SQ6Nq1vS1Or1XRsUp8DCefKzVdoLKbfpHfpM3EmT83+nhNXjEparVY2HzxORKAvj74/nx7PvsX90z9n3b74Sm3LP2ExF5N8Jo6opqUdeJVaTWTTzpw/+TedvAr49bv/o0Gr7tRv5vjiQGXzcVfh4aLixPnS8wqjCRJTlXJHUDRqCPWzz6MAJ85biQgoyVPPX41WYx+Tmq2QmavYYhrUU6MCPF3h6bv1TBpmYPitOjz/8qseHaKmZZSaZVtr1ujuvyFrdiqu7rXokuXLl+Pm5mZ39OvXr9z4Dz/8kLFjxzJmzBgaNWrEyy+/TMuWLcvEeXt7M2vWLJo0acLAgQMZMGAAa9eWvw7EaDSSk5NjdxhNZeeP/hOZBUVYrEqZ6Wq+7s6k5RY4zHMuM4c1hxKwKFY+Gj2Ah3rG8PXmfXy+bq/DeKtV4a3lW2gTEUTDoLLD6qLq6P28UWu1GC+m26UbU9IwBPo5zJO2ZgtRT4zGJToCVCr8enYm6PbeGIL8AbDk5ZO5408aTHwMQ3AAqNWE3DcI745tbDHVTdp9Y7Vb5eKGSq3BWmB/Mq7k56J287hqfk1wBJqAUIz7t9qlmxIOU/DLPHK/f5/C9UvRhjfE7d7xoKoZU0C0nl6otFpMmfbTE82ZGeh8HH/3Zu/eSeC992EIrQcqFR7tb8Lr5lvQ+ZbzXa1SEfb4U+Qe2E/RqYTr3YR/JTOvoOTvmLv9iIuvhytp2WWnLAJEBvoxdeTtvPvYfbz2nzuxWhVGv/klFzOzAcjIzafAWMxXq7bQuXkDPp7wAD3bNuGZTxay59jpym5ShRTkZaJYLWWmq7l5+JKXk/avy43btYILZw/T885nrrWK/5rbpZUBeYX263PyChXcnB3/vrk4gUatcpzHRWUr12xRKLLv39vF+LirUKngljZaftlh5pu1xTgbYGx/PZpLZ7ouBrinu44lG00Ya39fR/wDdbaz06NHD/bt22d3fPHFF+XGHz16lA4dOtil/fUxQPPmzdFoNLbHwcHBpKSUP999+vTpeHp62h1v//j7v2jRtbFaFXxcnXn5jltoFhpA31YNGdcjhsW74hzGv/7zJk5ezOCtYbdVbUXFdXH4udfIP3mG7vtW0jf7IM1mvsS5+T/CFSN5+8c+DyoVt57cRN+sA0Q+9gBJi1bYxdQ20u4bq91XMrTujDnlfJnNDEzxezGdOIg1NQnT8f3kLZ6NNiQSbXjZjQ1qi8QP3qXoXCIt5i8gZs0mwic8Q/qvK0BxvAg8/L/P4hxVn4T/e8nh87VF6+gwBsW2oUlYMO0bRfLOo0PxdndhyaaSi3bWS+2/pXVjHugVS5OwYP7Ttxs3t2zEkk17qrPqlSo7I5nfFrzGkHFvo9VV3UyMNtFqpo022A5NNZ5RqlSg1aj4ZZuZ4+esJKYoLFhnws9DRf2Qkord2U3HvhMWTl34+80Sag2VqvKOOqbmrNi7zlxdXWnQoIFd2rlz5Q+NV5ROZ79QX6VSYf2bk4VJkybx9NNP26Upv35+TXXwdnFCo1aRnmc/ipOeW4ife9nNCQD8PVzRqtVorhierB/gTVpuASazBZ22tAP3+rJNbDpymq8euoNAz5ozz/lGVZyWidVsxhBofyXQEOCH8aLjK4HFaZn8MfRx1AY9Ol8vjEkpNH7lGQpOJdpiCk4lsrPPA2hcnNF6uGG8kEqbr2dScDrRYZlVTdp9Y7VbKchDsVpQu3hw5Tpmlas71ryrTL3S6dE3bU/h5uVXfR1rVjrWglzU3v5w5uhV4yubOTsLxWxG5+1jl6719sGUkV5unpOTJ6LS69F6eGJKSyX04ccwJp0vExs+4Rm8Yrtw5IlHMaXWnPWX3m4uJX/Hcu1HcdJz8vGr4N8dnUZD47BgEi9t2uHt5oJWrSY62H60MirInz9P1oxd6FzcvFGpNeTn2H+2eTnpuHk4Hrm9mgtn4sjPTeeLV+60pSlWC2eP72b3+m+Z9PFB1GrN35Tw7xw+ayXxx9LhlsvXgd2cVeReMVLj5qwiOd3xeVJBEVisl0d+7PPkFZQ8ziss6cg46bEb3bky5vKklotZpa+TX1RyeLmWnLxHh6hpGgHdWpVUVEXJEoDXxhr4abOZPcfK2UFBXNVHH33E22+/zYULF2jdujUffvihwwGDy9577z0+/vhjzp49i5+fH3fffTfTp0/HycmpUupXZ0d2/qnGjRuze/duu7S/Pv43DAYDHh4edodBd219TJ1WQ9MQf3aeLP3DZrUq7Dx5jlbhQQ7ztIkIIjE9G6u19MvkTFoW/u4uto6Ooii8vmwT6w6f4vNxt1PP5+pTR0TlU0wmcv6Mw/eWK7bPVanw7dGJzJ37/jav1ViMMSkFlVZL0JDbuLhiXZkYS0EhxgupaL088O/VlYvLy8ZUB2n3jdVurBYsF86ijbxyFykVuojGmM+f+tus+ibtQKulOG7XVV9G5e6FytkVJS/7Git8fShmM/nHjuIe0740UaXCo1178uP+fltwpbgYU1oqKo0G75t7kLV1s93z4ROewatbd44+9TjFF5Iro/r/mk6rpWl4CLviSz9bq9XKriMJtKrveOvpv7JYrZw4fxG/S5sP6LRamkWGcPovU0DPpKQT7FM9C/b/SqPVExzRnFPx221pitXK6fjthEa3/VdlRjbtxENTf+HBl5fajuCIFrToOIgHX15aKR0dgGITpOcotiMlUyGnQKFBaOmppUEHYf4qzlx03NmxWOF8mn0eFdAgRM2ZlJI851KtmC0KDUJKY/w8VXi7q2wxl8v39yyNcTaAqxNk5ZWc98z+uZgPfiw9ft9rpqhY4YMfi4k7Xfs6Oiq1qtKOf2LhwoU8/fTTTJkyhT/++IPWrVvTp0+fcmc9fffdd0ycOJEpU6YQHx/Pl19+ycKFC/nf//53Pd4Wh+rsyM4/9cQTT/Dggw/Svn17OnfuzMKFCzlw4AD169e/euZq8EC31ry0eB3NQ/1pERbAN1sPUFhsZkhMyU47Ly5aQ4CHKxP6lpww3duxOQu2H+TN5VsYFtuSs+lZfLHhD4Z3Ll2X9PqyTfy6/zjvPdAPV4Petv7HzUmP0zV20KqDxtUF1wbhtscuUfXwaN2E4oxsihJr1h/+qzn1wVxaff4G2X8cImvPAaIeH4XWxblkqhLQ6vM3MCalcHTKTAA8b2qFU0ggOfvjcQoJpOGLj6NSq0mYWTqV069XV1BB/rFTuEZH0OT158g7lsC5r3+sljY6Iu2+sdpdtGsdrgNHYrlwBnPSGZxu6gE6A8UHSk4MXQaOwpqbRdHGv9xrpXVnTMf2oxTm2xeoM+DctT/FR/9Eyc9B7eWPc487sGamYjpVcxatX1z0PVGTXqLgyBHyj8QRePd9qJ2dSPu1ZKQq8n8vY0pN5fznJZvmuDZths7Pn4ITx9H7+xMyehwqtYoL339jKzP8v8/ic+ttnHjxBSyFBWh9SkaOLHn5KMU1474iD/SK5aW5P9EsMoQWkSVbTxcWm7i9c8lJ/+Q5PxLg5cGTd/QC4NPlG2hZvx7h/j7kFhYx77dtJGdkc0fXdrYyR9/Whec/X0y7hhHc1DiSbXEn2HTgKF88M7o6muhQx95j+PmrFwiObEFoVCt2rpmHqbiQ1l1KRmaWffk87t6BtvU3FnMxqUknbf/PzbzIhbPx6J1c8AmIwODkRkCo/bRMncEFF1evMumVbeshMz3baknLVkq2nm6vJadA4fCZ0s7OuP464k5b2X64pIOx5aCZe7rrOJdqJTFVoWsLDXod7L000mI0wZ6jFgZ00lFgNGE0lWw9feZiyXQ1gLRshbjTFgbFavlxc8manL43aUnNVjiZVPLaqVn209fq+ZXM/LyYWTuntdWUjQRmzpzJgw8+yJgxJbt/fvLJJ6xYsYKvvvqKiRMnlonftm0bXbp0Yfjw4QBERkYybNgwdu7cWWl1rH1nsJVkxIgRJCQk8Oyzz1JUVMS9997L6NGj2bXr6lcKq0PfVg3JzCti9ppdpOUW0DjYj9ljBuJ7aRrbhaw81FfMuwzycufjMYN4e8VW7vlgIQEerozo3Iox3UuvJC3aWbJ+Z+zn9icS/3d3T26PqTnblVaUZ0wLYteW3luj2YySqwaJX//IgbGTqqta/0ryD7+i9/eh0UtPoA/0J/dAPLuGPEhxSskVTOewELhi1E5jMNDo5Qm4RIVhySsgZfVG9o97AXN2ri1G6+FG4/97GqfQIEyZWVxY+jvHpr6LYr62DTSuJ2n3jdVuU/xeCl3ccOo2ELVryU1F8xbNQikoaYfawxsU+yvEap8AdGENyP3+g7IFKlY0AaG4teyEyskZa2425lPxFG76BSw1p92Z69ei9fIm5D/j0Pn4UnDiOMef+y/mzJJ77BgCAu3WVqn0BkLHPYwhOARLYSHZO7dz6rVpWPJKp4QFDCnZprzJB7PtXuvU9FdIX7WyClp1dX1uakFmXj4f/7yetJw8GtcLYvaT99u2k07OyLa7j05OQRGvzP+FtJw8PFycaBoewrznxxIdEmCL6dm2KZNHDOTLVVt4a+GvRAT6MuPhobRtEFHl7StP85v6U5CbwcZlH5Cfk0pgWFOGTfjCNo0tOyMZlar0RDY3K4UvXhlie7zjt6/Y8dtXhDfqwMjn5v+1+Gq1cb8FvVbFnd10OF26qeicVSa7e+z4eqhxdSr9/jqQYMXVyUzvGB3uLpCUrvDVr8V2NwxdvsOMosD9vXRoNXDs0k1Fr7Rog4mBsVrG9C25WeipZCtf/Vp85VelqCCj0YjRaH9RxGAwYDDYrwkrLi5m7969TJpUek6lVqvp1asX27dvx5HOnTvzzTffsGvXLjp06EBCQgIrV67kgQceuP4NuUSlKOWsaBT07t2boKAg5s+/vl8mRT++f13Lqy3WDp199aA6SKWre4v9hPir2Jd6VncVqsXJVde2XXBt1Xzak9VdhWqxRF1z7ktVleKO1owb0Va1Nx6snDUk10PyM8MrrexP3Rsxbdo0u7QpU6YwdepUu7SkpCRCQ0PZtm0bsbGlU6+ff/55Nm7cWO5ozQcffMCzzz6LoiiYzWYeeeQRh7d7uV5kZOeSgoICPvnkE/r06YNGo+H7779nzZo1/P571e+cJoQQQgghRHVwtLnWX0d1/q0NGzbw+uuvM3v2bDp27MiJEyeYMGECr7zyCi+9VDk7Rkpn5xKVSsXKlSt57bXXKCoqonHjxvzwww/06tWruqsmhBBCCCGETWWu2XE0Zc0RPz8/NBoNFy9etEu/ePEiQUGON8x66aWXeOCBBxg3bhwALVu2JD8/n4ceeogXX3wRdSW0Szo7lzg7O7NmzZrqroYQQgghhBA1nl6vJyYmhrVr1zJkyBCgZFfFtWvX8vjjjzvMU1BQUKZDc/n+lZW1skY6O0IIIYQQQtQi/3SL6Mry9NNPM2rUKNq3b0+HDh147733yM/Pt+3ONnLkSEJDQ5k+fToAgwYNYubMmbRt29Y2je2ll15i0KBBtk7P9SadHSGEEEIIIcQ/NnToUFJTU3n55Ze5cOECbdq0YdWqVQQGBgJw9uxZu5GcyZMno1KpmDx5MufPn8ff359Bgwbx2muvVVodpbMjhBBCCCFELVJTRnYAHn/88XKnrW3YsMHusVarZcqUKUyZMqUKanbpNavslYQQQgghhBDXrobcVLQ2kHdKCCGEEEIIUSfJyI4QQgghhBC1iEpVc6ax1XQysiOEEEIIIYSok2RkRwghhBBCiFqkMm8qWtfIOyWEEEIIIYSok2RkRwghhBBCiFqkJm09XdPJyI4QQgghhBCiTpKRHSGEEEIIIWoTWbNTYdLZEUIIIYQQohaRaWwVJ91CIYQQQgghRJ0kIztCCCGEEELUIiqVjFdUlHR2qoPFXN01qBYq3Y055KqYlOqughCV7ka954Ol2FrdVageyo3Zbq3mxvw+V8uUKVGLSWdHCCGEEEKI2kQ6oBV2Y16KE0IIIYQQQtR5MrIjhBBCCCFELXKjTh3+N+SdEkIIIYQQQtRJMrIjhBBCCCFELSL32ak46ewIIYQQQghRm8jW0xUm75QQQgghhBCiTpKRHSGEEEIIIWoRmcZWcTKyI4QQQgghhKiTZGRHCCGEEEKI2kS2nq4weaeEEEIIIYQQdZKM7AghhBBCCFGLqFSyZqeiZGRHCCGEEEIIUSfJyI4QQgghhBC1iazZqTDp7AghhBBCCFGLyNbTFSfdQiGEEEIIIUSddEOM7IwePZqsrCyWLl1a3VW5rhbsiGPelv2k5RXSKMiHiQO70LJeQLnxOYVGZq3Zzdq4U2QXGgn2cuf5/rF0axwOwKKdh1m06zBJWbkARAd483CPdnRtFF4l7amoiIeHE/XUWAyBfuQePELcM6+Sveegw1iVVkv0cw8ROmIITiGB5B87xZGXZpD2+xZbjMbNlUYvP0nQ4F7o/X3J2R/P4edeI3vvoapq0nXl07U99Z8Zi2e7FjiFBLDnrse4+PPa6q5WpZN2141269vejFPHW1G5emBJOU/hmsVYks84jHUbNgFteMMy6aaTh8hf8kmZdOfb7sPQtiuFa5dg3LPhelf9mgTedTfBI0ag8/Gl4MRxTs98h/zDhx3GqjQaQkaNxq9ff/T+/hSePUvi7Flk79hhiwm4404C77wTQ3AIAAUJCZz/6kuyd2yvkvZU1IINu5n32zbSc/JoVC+QF4b2o2VUqMPYZdv2MeXrn+3S9FoNu2a9aJeWkJzK+z+tZe+xM5itVuoH+/POw/cQ7ONZae34p3at/Zatq74kLzuNoLAm9BsxmXr1WzmMTTl/nPVLPyDpdBzZ6Un0uW8SsbeNKhOXk3mR3xfP4MTBTZiKi/AJCOf2/7xOaFTLym6OnV7tNLRvrMFZD2cuKizbZiY9R/nbPJ2aqunWUoubM1zIUPhlu5lzaaV5tBro30FLq/pqNBo4fs7Kz9vM5BWVlvH6WEOZchesN3EgwQqAuzP076gl1E+Fj4eK7XEWVuy0XJ9GVweVjFdU1A3R2amLVh08yYxftzN5cDdahgXw7baDPDp3JcueGoqvm3OZeJPZwiNzV+Lj6sSMYb0J8HAlOSsXd6fSL4cAT1cm3NaBcF9PFBR++fMYE779jYWP3UmDQJ+qbF65gu/qR5M3JhL35FSydu8n8vFRdFj2BRvb9KM4NaNMfKMpEwgdNpiD418i72gC/r27ErNgFtt7DiNnfzwALWe/gnuzhuwb+wLG5BRChw2mw/I5bIoZgDEppaqbeM00ri7kHDhK4twfaL/ko+quTpWRdtf+duuatMO55x0U/rYQc9JpDO174HrveHI//z+Ugrwy8fk/fQ4aje2xytkV9zGTMB35s2zZDVuhDYnEmptVmU34V3xu7UX4kxM49dab5MfFETT0Ppq8+z7777sXc2Zmmfh6Dz+CX9++JEyfTtGZ03h27ESjN94k7qEHKTh2DIDi1BTOzp5NUWIiKhX49R9Ao7fe5tCoByg8daqqm+jQ6j1xvLPkN14cPoCWkaF8u24nj334LcumjsfHw9VhHjcnA0unjbc9/uuGVImpGYyZMZchndvw6MDuuDobOJmUikFbc053Du1ayeqFbzDwgamE1m/Njt/n8c3McTz++q+4efiWiTcVF+HtH0az9n1ZveANh2UW5mfz5evDiGrSkRH//RxXdx/SL57G2bVqO3g3t9IQ20zDkk1mMnMVesVoGNNHx3s/FmMup1/RMkpN/45alm41cy5VoXNzDWP66pi5pJj8S52ZAR21NA5T8906E0XFMLizlhG9dHy63GRX1pJNJo6ds9oeFxWXPqfRQH6Rwvp9Vrq00CBuHDd8t3Djxo106NABg8FAcHAwEydOxGw2A7B8+XK8vLywWEp+Q/ft24dKpWLixIm2/OPGjeP++++v8nrP33qAO9s3YUhMY6IDvJk8uBtOOi1L9x51GP/TH0fJLiji3RF9aBsRRKi3O+2jQmgcXPrFekuTCLo1DifCz5NIPy+e6N0BF72OA4k154Q/6snRJM5ZzLn5P5J35CSHnpiCpbCIeiPvchgfOvx2Tr79KamrN1F4+hxnP19A6upNRD05BgC1k4GgIbdxZPIMMrfuoSDhLMdfm0VBwlkiHhxWlU27blJXb+LYlPe4uGxNdVelSkm7a3+7DTf1pHj/NooP7sCafoHC1QvAVIy+ZazDeKWoACU/13boIpuAqZjio/adHZWbJ8697yF/+Vyw1rwrucHDhpHy8zLSViyn8PQpTr31BlZjEf4DBzmM9+vbj6R588jevg1jUhIpP/1I1rbtBA8bbovJ2rKl5PlziRQlJnLu00+wFhbg1qJFVTXrquav2c6dXdoxpHMbokP8mTx8AE46HUu3le2s2qjAz9PNdvh6uNk9PWvZerq2aMB/7+pNk/Bgwvx9uKV143I7T9Vh++q5tLv5Htp2u4uA0AYMHDkNnd6JPzf/4DA+NKolt937PC07DkCj1TmM2bLyCzx9ghkydjr16rfC278eDVp0xSegamdmdG6uYf0+C/FnrVzIVFi80Yy7CzSLKP90s2sLDbuPWvnjuJWULIVlW80UmyGmUUmHxKCDmEZqVu40k5CskJSu8MMmMxGBasL87Xu7hcWQV1h6XNnBysqD5Tss/HnCatcJqrXUqso76pgburNz/vx5+vfvz0033cT+/fv5+OOP+fLLL3n11VcB6NatG7m5ufz5Z8kX78aNG/Hz82PDhg22MjZu3Mgtt9xSpfU2mS3EJ6XRKbqeLU2tVtEpOpQDiRcd5tl45AytwgOZ/ssWekyfz50fLOaLDX9isVodxlusVn49cILCYhOtwwMrpR3/lEqnw6Ntc9LXbytNVBTS1m3Hu2Mbh3nUej2WIqNdmqWwCO/OMSVlarWotVqsjmJiY65r/YUQf0OtQRMUhvnMlRdsFMynj6INjapQEfpWnSmO/wNMV57JqHAZOJKinWuxpl24rlW+HlRaLa6Nm5Cze1dpoqKQvXs37i0cTz9S6fVYi+2/s6zGItxbt3b8Imo1Pr16o3ZyJu9gzZieazJbiD+bTMempZ+tWq2iY9MoDiScKzdfobGYfv97nz6T3uOp2Qs4ccXou9WqsPngcSICfHn0g2/o8dwM7n/jC9btO1KpbfknzOZiks7EUb9ZZ1uaWq2mfrNYzp3c96/LPbpvHSGRLVg0ewJvTejMJ1PvYO/GRdehxhXn7Q4eLipOJpWeVxhNcC5VITzA8Qm0Rg0hfipOXJFHAU4mWW15Qv1UaDX2ManZCpl5CuEB9qexg2O1vDhCz6ODdcQ0vKFPccUVas64bjWYPXs2YWFhzJo1C5VKRZMmTUhKSuKFF17g5ZdfxtPTkzZt2rBhwwbat2/Phg0b+O9//8u0adPIy8sjOzubEydO0L179yqtd2ZBERarUma6mq+bM6fSshzmOZeRQ1JWHv1bNeCjkX05m5HD6z9vwWy18kjP0pP64xcyeOCzpRSbLbjodbw7/DaiA7wrszkVpvfzRq3VYryYbpduTEnDrbHjk6G0NVuIemI0GVtKRm38esQSdHtv29QXS14+mTv+pMHEx8g7moDxYhoh9w7Au2Mb8k+erfQ2CSFKqFzcUKk1WPNz7dKtBTlofa9+wUUTHIHGP4SCX7+1Szd06g1WK8V7N1zP6l43Wi8vVFotpgz7abimjAycIyIc5sneuYOg+4aT8+c+jOfP4dH+Jrxv6YHqL1vROkdH0/yzL0ou+hQWcmziCxSerhlT2DLzCkr+jv1lxMXX3ZXTF9Ic5okM8mXqyME0DA0kr7CIr3/fzui35vDDlEcJ9PYgIzefAmMxX63eyvjBPZhwRy+2xZ3gmU8X8fl/R9K+UWQVtOzvFeRmolgtZaaruXr4kZb87z+bzNREdq//ntg+o+k24GHOnzrIr9+9hkaro02XO6612hXi7lzSOckrtF+fk1eo4ObsuLPj4gQatcphHn9Pta1cs0UpMxqTV6jg5lL6+Pe9Zk4mWTFZoGGomsGdteh1FrYfrnmjudeDStbsVNgN3dmJj48nNjbW7i60Xbp0IS8vj3PnzhEeHk737t3ZsGEDzzzzDJs3b2b69OksWrSILVu2kJGRQUhICA0bll0ge5nRaMRotL8Cp5jMGHRV+9ZbFfBxdeLlId3QqNU0C/UnJSefeZv323V2Iv08WTT+LvKKivk97hQv/bCBL8cNqjEdnn/q8HOv0eKjV+i+byWKolCQkMi5+T/aTXvbP/Z5Wn7yOree3ITVbCZn32GSFq3As23zaqy5EOKf0LeKxZJy3m4zA01gGIaYW8id92Y11uz6O/PuTKIm/o/WCxaColB0/jxpK5bjP3CgXVzRmTMcHPUAGlc3fHv2JPqll4l/7NEa0+H5p1rXD6N1/bDSx9Fh3Dl1Nks272X84B5YlZIT5ltaN+aBXp0AaBIWxP6EcyzZtLdGdHYqi6IohEQ2p9ddTwMQHNGMlPPH2bNhQaV1dlpHqxnSpfRc5uvfTH8TXfnW7yvt1CSnW9BroVtLTZ3t7IiKu6E7OxVxyy238NVXX7F//350Oh1NmjThlltuYcOGDWRmZl51VGf69OlMmzbNLu3Fu3sz+d4+/7pO3i5OaNQq0vMK7dLT8wrxu/IyxxX83V3QqtVorrjyV9/fi7S8QkxmCzptyUiHTqsh3LdkQWOzUH/izqXy7baDvDzk5n9d3+ulOC0Tq9mMIdD+ipghwA/jRcdXAovTMvlj6OOoDXp0vl4Yk1Jo/MozFJxKtMUUnEpkZ58H0Lg4o/Vww3ghlTZfz6TgdKLDMoUQ159SkIditaB2defKUxO1iwdKfs7fZ9bp0TeNoXDzCrtkbVg0Klc3PB79P1uaSq3BqcedGNr3IOeTKdexBf+OOSsLxWxG52O/CYzOxwdTetlNVy7nOT7xeVR6PVpPT0ypqYQ9Np6i80l2cYrZjPFcyZSwgqNHcG3alMChQzn9puNF7lXJ282l5O9YTr5denpuPn5/WYdTHp1GQ+OwIBJTMmxlatVqooP97OKigvz480TNGKl3cfdGpdaQl2M/QyE/Jw03T79ycl2du5c//iEN7NL8Q6KJ3/vbvy7zauLPWklMKR1u0WpKLhy7OavIvWKkxs1ZRXKG4ynzBUVgsV4e+bHPc7mM3EIFrUaFk95+wwE3ZxV5BeXXLzFVoWdbFRo1WBy/fO1WB9fWVJYbegysadOmbN++HUUp/QXbunUr7u7u1KtXsh7m8rqdd99919axudzZ2bBhw1XX60yaNIns7Gy747k7br2meuu0GpqG+LEz4bwtzWpV2JmQRKswx9M92oQHkpiRjdVa2tYzadn4u7vYOjqOWBUFUw35llBMJnL+jMP3lisWK6tU+PboRObOfX+b12osxpiUgkqrJWjIbVxcsa5MjKWgEOOFVLReHvj36srF5WVjhBCVxGrBciERbUTjKxJVaCMbYT7/9yMR+sZtQaPFFLfbLr340G5yv5pO7pw3bIc1NwvjrjXkLaoZO9cpZjP5R4/g0f6m0kSVCs/2N5F7yPGW+ra8xcWYUlNRaTT49OhB5uZNf/9iKjVqneMF7lVNp9XQNDyYXUdKP1urVWHXkVO0ql/vb3KWslitnDifgp+nm63MZpEhnP7LVOczF9MJ9vW6bnW/FlqtnpCI5pyKL90C3Gq1khC/g3rRbf51uWEN2pJ+wf73JP3CaTx9Q/51mVdTbIKM3NIjJUshp0AhOqT01NKgg3r+Ks6mON562mKFpDSFBsGleVRAdIjalud8moLZYl+un6cKbzcVZ1PKPz8J9lFRYFTqZkcHUKnVlXbUNTfMyE52djb79u2zS3vooYd47733eOKJJ3j88cc5evQoU6ZM4emnn0Z96cP29vamVatWfPvtt8yaNQuAm2++mXvvvReTyXTVkR2DwYDBYL/3e9F1mML2QJdWvPTDBpqH+NOinj/fbDtIYbGJITGNAHhxyXoCPEq2kga4t0MzFuyM482V2xjWqTln03P4YuM+hseWTtV6/7dddG0YRpCXGwVGEysPnGDP6SQ+HtX/mut7vZz6YC6tPn+D7D8OkbXnAFGPj0Lr4sy5+T8C0OrzNzAmpXB0ykwAPG9qhVNIIDn743EKCaThi4+jUqtJmPmFrUy/Xl1BBfnHTuEaHUGT158j71gC577+sVraeK00ri64Nijdgcclqh4erZtQnJFNUWJyNdasckm7S9Tmdht3r8NlwAOYL5zFklyy9TQ6A8UHS+4f4zLgAay52RRt+su9VlrFYjp+AKXIfpRAKcovk4bVgpKfgzWj5uwymfz990S/9DL5R+LJiztM0H33oXZyInX5cgDqvzwFU2oqiR/PBsC1WXP0/v4UHD+G3j+A0HHjQKUm+Zv5tjLDHn2MrO3bMF64iMbVBb/b+uDRrh1HnppQLW105IFesbw0dynNIkJoERnCt+t2Ulhs4vbObQCYPGcpAV7uPHnpAuGnKzbSMqoe4f4+5BYWMe+3bSRnZHNHl3a2Mkf37szzXyyhXYMIbmocyba4E2w6eIwvni57X5rqEttnND99MZGQyBaERrVix+/zMBkLadv1TgB+/PwFPLwD6HX3M0DJpgapSScBsJhN5GZdJPlsPHqDC76BJeu6Ym8bzZevD2PT8k9oflM/zp86wN6Nixg06v8cV6KSbIuz0KONhrQchcxchd4xGnIL4PCZ0h7H2H464k5b2BFfkrblkIW7b9ZyLk3NuVSFLi006LXwx7GSMV6jCfYes9K/o5ZCY8nW04NitZy5aCUxtaRD1CRMjZtzyWiOyazQMFTNLa01bD5oP4Ut2KdkNESvBVcnFcE+KizWko6aqLtumM7Ohg0baNu2rV3a2LFjWblyJc899xytW7fGx8eHsWPHMnnyZLu47t27s2/fPtsojo+PD82aNePixYs0btyY6tC3ZTSZ+YXMXruHtLwCGgf7MntUf3wvTWO7kJWH+oq1SEFebnw8qj9vr9zOPbN+IMDdhRGxLRhzc+nuPRl5hUz+YT2puQW4OelpFOjLx6P6E9ugYlfZqkLyD7+i9/eh0UtPoA/0J/dAPLuGPEhxSsmVPOewkJIFSpdoDAYavTwBl6gwLHkFpKzeyP5xL2DOLl0ErfVwo/H/PY1TaBCmzCwuLP2dY1PfRbm0BXlt4xnTgti1pSc9zWb8D4DEr3/kwNhJ1VWtSiftLlGb22068geFLm44dx2AytUdS8p58hd9hFJQ8vuq9vABxf6kRO0TgDasAXkLZ1VHla+LjLVr0Hl7UW/cQ+h8fSk4fowj/30Kc2bJ9CxDYCBcsXOm2qAn7OFHMISEYCksJGv7Nk5Om4olr/ReRFpvb6JfnoLO1w9LXh4FJ09w5KkJ9ru+VbM+7ZuTmZvPx79sIC0nj8b1Apn9xHDbdtLJGdl2a2pz8ot45ZvlpOXk4eHiRNPwYOY9N4boEH9bTM+2TZg8fABfrtrKW4tWERHoy4yH7qVtg6rdgvnvtOjQn/zcDNYv/ZC87FSCwppy/38/t01jy85IQnXFFKXcrBQ+nVq67mbbqq/YtuorIhrfxJgXSn73Q6NaMnT8h6z9YSYbf56Nt389+g6bRKtYx9uXV5ZNB0rWytzRRYvTpZuKzlltstsC2sddhatTafsOnrLi6mSmV4wWd2dITi/Jc+UNQ1fsNKMoWobfqkOrhuPnrSzbVvo32mJV6NRMywB3FaggPUdh5U4zu4/aD+s8cYfe9v96/tCmgYbMXIW3F9XCvaj/epMpUS6VoijSna1iRYvfqe4qVIt1oz6v7ipUC8Ukv2Ki7uvyau/qrkK1OLp099WD6qBWrz9Z3VWoFkv1w68eVAcdPFILOwPXwetjDVcPqiYFX1XemkOX/0y7elAtcsOM7AghhBBCCFEn1MG1NZVF3ikhhBBCCCFEnSQjO0IIIYQQQtQmsmanwmRkRwghhBBCCFEnyciOEEIIIYQQtUhdvB9OZZHOjhBCCCGEELWJSjo7FSXvlBBCCCGEEKJOkpEdIYQQQgghahO1bFBQUTKyI4QQQgghhKiTZGRHCCGEEEKIWkQla3YqTN4pIYQQQgghRJ0kIztCCCGEEELUJrJmp8JkZEcIIYQQQghRJ8nIjhBCCCGEELWJrNmpMHmnhBBCCCGEEHWSjOwIIYQQQghRm6hkzU5FSWdHCCGEEEKI2kQtk7MqSt4pIYQQQgghRJ0kIztCCHEdqXQ35tQCxWqt7ioIUekUpbprIMQlskFBhck7JYQQQgghhKiTZGRHCCGEEEKI2kRuKlphMrIjhBBCCCGEqJNkZEcIIYQQQojaRNbsVJi8U0IIIYQQQoh/5aOPPiIyMhInJyc6duzIrl27/jY+KyuL8ePHExwcjMFgoFGjRqxcubLS6icjO0IIIYQQQtQmNeSmogsXLuTpp5/mk08+oWPHjrz33nv06dOHo0ePEhAQUCa+uLiY3r17ExAQwJIlSwgNDeXMmTN4eXlVWh2lsyOEEEIIIURtUkNuKjpz5kwefPBBxowZA8Ann3zCihUr+Oqrr5g4cWKZ+K+++oqMjAy2bduGTqcDIDIyslLrWDPeKSGEEEIIIUStUVxczN69e+nVq5ctTa1W06tXL7Zv3+4wz88//0xsbCzjx48nMDCQFi1a8Prrr2OxWCqtnjKyI4QQQgghRG1SidPYjEYjRqPRLs1gMGAwGOzS0tLSsFgsBAYG2qUHBgZy5MgRh2UnJCSwbt06RowYwcqVKzlx4gSPPfYYJpOJKVOmXN+GXCIjO0IIIYQQQggApk+fjqenp90xffr061K21WolICCAzz77jJiYGIYOHcqLL77IJ598cl3Kd0RGdoQQQgghhKhNKnHr6UmTJvH000/bpf11VAfAz88PjUbDxYsX7dIvXrxIUFCQw7KDg4PR6XRoNBpbWtOmTblw4QLFxcXo9frr0AJ7MrIjhBBCCCGEAEo6Nh4eHnaHo86OXq8nJiaGtWvX2tKsVitr164lNjbWYdldunThxIkTWK1WW9qxY8cIDg6ulI4OSGdHCCGEEEKI2kWtrrzjH3j66af5/PPPmTdvHvHx8Tz66KPk5+fbdmcbOXIkkyZNssU/+uijZGRkMGHCBI4dO8aKFSt4/fXXGT9+/HV9e64k09iEEEIIIYQQ/9jQoUNJTU3l5Zdf5sKFC7Rp04ZVq1bZNi04e/Ys6is6UGFhYaxevZr//ve/tGrVitDQUCZMmMALL7xQaXWUzo4QQgghhBC1SQ25qSjA448/zuOPP+7wuQ0bNpRJi42NZceOHZVcq1LS2RFCCCGEEKI2qcQNCuqaOtHZSUxMZMqUKaxatYq0tDSCg4MZMmQIL7/8Mr6+vtVdvUqzYEcc87bsJy2vkEZBPkwc2IWW9QLKjc8pNDJrzW7Wxp0iu9BIsJc7z/ePpVvj8DKxX27cxwe/72JEbAueH9C5Mpvxj0U8PJyop8ZiCPQj9+AR4p55lew9Bx3GqrRaop97iNARQ3AKCST/2CmOvDSDtN+32GI0bq40evlJggb3Qu/vS87+eA4/9xrZew9VVZOuK5+u7an/zFg827XAKSSAPXc9xsWf1149Yy1X19p9o/6cG9rdjKFjb9RuHlhSzlHw2yIsyWccxroNfwpdRKMy6aYTh8hbPBsAlwEPYGhlv1DWlBBH3sKPrn/lr0HgXXcTPGIEOh9fCk4c5/TMd8g/fNhhrEqjIWTUaPz69Ufv70/h2bMkzp5F9hVXSgPuuJPAO+/EEBwCQEFCAue/+pLsHY5v9FddFmzYzbzftpGek0ejeoG8MLQfLaNCHcYu27aPKV//bJem12rYNetFu7SE5FTe/2kte4+dwWy1Uj/Yn3cevodgH89Ka8c/tWvdt2xb9SV52WkEhTWh3/DJhNZv5TA25fxxNiz9gKQzcWSnJ9Hnvkl06j3KLmbDsg/Z+LP9z7RvUBSPv/ZrpbWhPL3aaWjfWIOzHs5cVFi2zUx6jvK3eTo1VdOtpRY3Z7iQofDLdjPn0krzaDXQv4OWVvXVaDRw/JyVn7eZySsqW5azAZ68Q4+nq4r/m2+kqLgkvXmEmg5NNYT4qNBoICVLYe0fZo6f//u6idqv1nd2EhISiI2NpVGjRnz//fdERUURFxfHc889x6+//sqOHTvw8fGp7mped6sOnmTGr9uZPLgbLcMC+HbbQR6du5JlTw3F1825TLzJbOGRuSvxcXVixrDeBHi4kpyVi7tT2d01Dp1LYcnueBoF1bz3LfiufjR5YyJxT04la/d+Ih8fRYdlX7CxTT+KUzPKxDeaMoHQYYM5OP4l8o4m4N+7KzELZrG95zBy9scD0HL2K7g3a8i+sS9gTE4hdNhgOiyfw6aYARiTUqq6iddM4+pCzoGjJM79gfZLatYJXWWqS+2+UX/OdU1jcL71LgpWfY856TRON/XEbegT5Hw2FaUgr0x8/o+fgab0z5jK2RWPsf+j+MgfdnGmk3Hkr5hfmmAxVVob/g2fW3sR/uQETr31JvlxcQQNvY8m777P/vvuxZyZWSa+3sOP4Ne3LwnTp1N05jSeHTvR6I03iXvoQQqOHQOgODWFs7NnU5SYiEoFfv0H0Oittzk06gEKT52q6iY6tHpPHO8s+Y0Xhw+gZWQo367byWMffsuyqePx8XB1mMfNycDSaaULmf86kycxNYMxM+YypHMbHh3YHVdnAyeTUjFoa87pzqFdK/lt4RsMeGAq9eq3Zsfv8/jm3XE8/tqvuHqUvUBrKi7Cyz+MZu37snrhG+WW6x/SkJHPfmV7rFZXfZtvbqUhtpmGJZvMZOYq9IrRMKaPjvd+LMZscZynZZSa/h21LN1q5lyqQufmGsb01TFzSTH5lzozAzpqaRym5rt1JoqKYXBnLSN66fh0ednf5bu6abmQYcXTVWOXHhmk4sR5K7/tsVJUDDEN1TzQW8fHv5hITq+FHZ4aNI2tpqv1Y2Djx49Hr9fz22+/0b17d8LDw+nXrx9r1qzh/PnzvPhiyRWfyMhIXnnlFYYNG4arqyuhoaF89JH9CVFWVhbjxo3D398fDw8Pevbsyf79+23PT506lTZt2jB//nwiIyPx9PTkvvvuIzc3t0rbDDB/6wHubN+EITGNiQ7wZvLgbjjptCzde9Rh/E9/HCW7oIh3R/ShbUQQod7utI8KoXGw/RdrgdHEpMXrmTKkGx4OOkLVLerJ0STOWcy5+T+Sd+Qkh56YgqWwiHoj73IYHzr8dk6+/SmpqzdRePocZz9fQOrqTUQ9WbJLiNrJQNCQ2zgyeQaZW/dQkHCW46/NoiDhLBEPDqvKpl03qas3cWzKe1xctqa6q1Kl6lK7b9Sfc6cOPTHu30rxwR1Y0y9QsOp7MBejb+V4dFkpKkDJz7EduqgmYCou09lRLGa7OKWosCqaU2HBw4aR8vMy0lYsp/D0KU699QZWYxH+Awc5jPfr24+kefPI3r4NY1ISKT/9SNa27QQPG26LydqypeT5c4kUJSZy7tNPsBYW4NaiRVU166rmr9nOnV3aMaRzG6JD/Jk8fABOOh1Lt/1ZfiYV+Hm62Q5fDze7p2ctW0/XFg347129aRIeTJi/D7e0blxu56k67PhtLu1uvoe2Xe/CP6QBAx+Yhk7vxJ9bfnAYHxrVktvufZ4WHQeg0erKLVet0eDm6W87XNy9K6sJ5ercXMP6fRbiz1q5kKmweKMZdxdoFlH+6WbXFhp2H7Xyx3ErKVkKy7aaKTZDTKOSzopBBzGN1KzcaSYhWSEpXeGHTWYiAtWE+duf8HdsosZJr2LzwbI9qxU7LWw+aOF8mkJ6jsJvey2k5yg0Dav1p8LiKmr1J5yRkcHq1at57LHHcHa2H80ICgpixIgRLFy4EEUp6bG//fbbtG7dmj///JOJEycyYcIEfv/9d1uee+65h5SUFH799Vf27t1Lu3btuPXWW8nIKL2SevLkSZYuXcry5ctZvnw5Gzdu5I03yr/SUhlMZgvxSWl0iq5nS1OrVXSKDuVA4kWHeTYeOUOr8ECm/7KFHtPnc+cHi/liw59YrtjnHOD1X7Zwc+MwOjWo57Cc6qTS6fBo25z09dtKExWFtHXb8e7YxmEetV6Ppchol2YpLMK7c0xJmVotaq0Wq6OY2JjrWn8hKuKG/TlXa9AEhWM+deUFGwXT6SNoQ6MqVIShVWeKD+8FU7Fduja8IZ5PvonHQ1Nw6XMfKueac+Kr0mpxbdyEnN27ShMVhezdu3Fv0dJxHr0ea7H9Z2k1FuHeurXjF1Gr8enVG7WTM3kHa8a0RZPZQvzZZDo2Lf1s1WoVHZtGcSDhXLn5Co3F9Pvf+/SZ9B5PzV7AiStGJa1Whc0HjxMR4MujH3xDj+dmcP8bX7Bu35FKbcs/YTEXk3QmjvpNSzvwKrWa+s1iOXdy3zWVnXHxDO883Y33X+jFj589S3Z60jXW9p/xdgcPFxUnk0rPK4wmOJeqEB7geBRCo4YQPxUnrsijACeTrLY8oX4qtBr7mNRshcw8hfCA0tPYAC8VPdpqWbzRhFKBgRoVYNCpKDDWwlEdqDFbT9cGtbpFx48fR1EUmjZt6vD5pk2bkpmZSWpqKlByI6OJEyfSqFEjnnjiCe6++27effddALZs2cKuXbtYvHgx7du3p2HDhsyYMQMvLy+WLFliK9NqtTJ37lxatGhBt27deOCBB+xuplQVMguKsFiVMtPVfN2cScsrcJjnXEYOa+JOYbEqfDSyLw/1aMfXWw/w+YbSK2i/HjhBfHIaT/buUKn1/7f0ft6otVqMF9Pt0o0paRgC/RzmSVuzhagnRuMSHQEqFX49OxN0e28MQf4AWPLyydzxJw0mPoYhOADUakLuG4R3xza2GCGq0o36c65ycUOl1mAtyLFLV/JzUbt5XDW/JjgCTUAoxv1b7dJNCYcp+GUeud+/T+H6pWjDG+J27/gaMwVE6+WFSqvFlGE/PdGUkYHO1/FU4uydOwi6bziGemGgUuFxUwe8b+mBztf+58M5Opr2a9fTYeNmop5/gWMTX6DwdM2YwpaZV1Dyd+wvIy6+7q6k5ZSdsggQGeTL1JGDeffRobw2ZghWRWH0W3O4mFnyM5ORm0+BsZivVm+lc7MGfPzk/fRs04RnPl3EnmOnK7tJFVKQm4litZSZrubq4Udedtq/Lje0fmtu/8907v/vFwx4YAqZaeeY88b9GAsdv5eVwd255Hcqr9C+85BXqODm7Pj3zcUJNGqVwzyXy3N3VmG2KLa1N3blupT8X6OGobdoWbXLTHZ+xerbtaUGvQ4OnrJePVjUajVnEus1UCrShYcyd3ONjY3lvffeA2D//v3k5eWV2dCgsLCQkydP2h5HRkbi7u5uexwcHExKSvnz3Y1GI0aj/RU4xWTGoKvat96qgI+rEy8P6YZGraZZqD8pOfnM27yfR3rGcCErj7dWbOfTMf2rvG6V6fBzr9Hio1fovm8liqJQkJDIufk/2k0H2j/2eVp+8jq3ntyE1WwmZ99hkhatwLNt82qsuRAVJz/nYGjdGXPK+TKbGZji99r+b01NwpJ6Ds9HX0Eb3gjzGcfTfmu6M+/OJGri/2i9YCEoCkXnz5O2Yjn+AwfaxRWdOcPBUQ+gcXXDt2dPol96mfjHHq0xHZ5/qnX9MFrXDyt9HB3GnVNns2TzXsYP7oH10rnALa0b80CvTgA0CQtif8I5lmzaS/tGkdVR7SrRsOXNtv8HhjWmXv3WvPd8T+L2rKJdt7sr5TVbR6sZ0qX0fOHr36pvLVyfmzSkZivsO1mxjkvr+mpubath/hqTbV1QbaPUkAs2tUGtPqtt0KABKpWK+Ph47rjjjjLPx8fH4+3tjb//1a9c5uXlERwc7HA/cC8vL9v/dTr7+bIqlQqrtfxfrunTpzNt2jS7tBfv7s3ke/tctU7l8XZxQqNWkZ5nP+88Pa8Qv8uXOf7C390FrVqN5orhyfr+XqTlFWIyWziclEZGfiH3zf7R9rzFqrD3TDILdsaxe+pYu7zVoTgtE6vZjCHQvkNqCPDDeNHxFbHitEz+GPo4aoMena8XxqQUGr/yDAWnEm0xBacS2dnnATQuzmg93DBeSKXN1zMpOJ3osEwhKtON+nOuFOShWC2oXTy4cra9ytUda15OufkA0OnRN21P4eblV30da1Y61oJc1N7+UAM6O+asLBSzGd1fNtLR+fhgSi+7GcXlPMcnPo9Kr0fr6YkpNZWwx8ZTdN5+2pJiNmM8VzIlrODoEVybNiVw6FBOv1m1U68d8XZzKfk7lmN/GT49Nx+/v6zDKY9Oo6FxWBCJKRm2MrVqNdHB9iNcUUF+/Hni7PWp+DVycfdGpdaQn2M/cpufk4abp+OR23/DycUD38BIMlIc72R4PcSftZKYUjrcotWUnHy7OavIvWKkxs1ZRXKG4/OkgqKSc42SkR/7PJfLyC1U0GpUOOmxG91xc1ZxeTJL/WA1Qd4qXhmjB0qmqAG8OELPhn0W1v5Z+q3Sqr6aO7pp+X6dmZNJtXQKm/hHavU0Nl9fX3r37s3s2bMpLLQ/8b9w4QLffvstQ4cORXWp9/vXGxjt2LHDNgWuXbt2XLhwAa1WS4MGDewOP79//wU0adIksrOz7Y7n7rj1X5cHoNNqaBrix86E87Y0q1VhZ0ISrcICHeZpEx5IYkY2VmvpL/aZtGz83V3QaTV0jA5hyRN3s3D8Xbajeag//Vs1YOH4u6q9owOgmEzk/BmH7y1XjNCpVPj26ETmzn1/m9dqLMaYlIJKqyVoyG1cXLGuTIyloBDjhVS0Xh749+rKxeVlY4SobDfsz7nVguXCWbSRja9IVKGLaIz5/N+PROibtAOtluK4XX8bB6By90Ll7IqSl32NFb4+FLOZ/KNH8Gh/U2miSoVn+5vIPeR4q3Fb3uJiTKmpqDQafHr0IHPzpr9/MZUata78Be5VSafV0DQ8mF1HSj9bq1Vh15FTtKpfsTWjFquVE+dT8PN0s5XZLDKE03+ZAnrmYjrBvl7Xre7XQqPVExLRnIT40i3AFauVhPgd1Ituc91ep7gon4yURNw9K2+aarEJMnJLj5QshZwCheiQ0vMFgw7q+as4m+K4U2GxQlKaQoPg0jwqIDpEbctzPk3BbLEv189ThbebirMpJZ2o79aa+HCpiVmXjh+3mAH4bIWJHfH2HZ27umlZuN7M0cRaPn1Npa68o46p1SM7ALNmzaJz58706dOHV1991W7r6dDQUF577TVb7NatW3nrrbcYMmQIv//+O4sXL2bFihUA9OrVi9jYWIYMGcJbb71Fo0aNSEpKYsWKFdxxxx20b9/+X9XPYDBgMNjvalZ0HaaJPdClFS/9sIHmIf60qOfPN9sOUlhsYkhMyT0nXlyyngAPVybcVrL+5t4OzViwM443V25jWKfmnE3P4YuN+xgeWzKFxdWgp2Gg/ZVFZ50WLxenMunV6dQHc2n1+Rtk/3GIrD0HiHp8FFoXZ87NLxmRavX5GxiTUjg6ZSYAnje1wikkkJz98TiFBNLwxcdRqdUkzPzCVqZfr66ggvxjp3CNjqDJ68+RdyyBc1//6LAONZ3G1QXXBqX3TnKJqodH6yYUZ2RTlJhcjTWrXHWp3Tfqz3nRrnW4DhyJ5cIZzElncLqpB+gMFB8oOTF0GTgKa24WRRuX2eXTt+6M6dh+lMK/TNbXGXDu2p/io3+i5Oeg9vLHuccdWDNTMZ2Kr6pmXVXy998T/dLL5B+JJy/uMEH33YfayYnU5SUjVfVfnoIpNZXEj0vuHeTarDl6f38Kjh9D7x9A6LhxoFKT/E3p9tphjz5G1vZtGC9cROPqgt9tffBo144jT02oljY68kCvWF6au5RmESG0iAzh23U7KSw2cXvnNgBMnrOUAC93nrx0gfDTFRtpGVWPcH8fcguLmPfbNpIzsrmjSztbmaN7d+b5L5bQrkEENzWOZFvcCTYdPMYXT49yVIVq0em20Sz9ciIhkS0IjWrFjjXzMBkLadPlTgB++uIF3L0D6HXXM0DJpgapSScv/d9ETuZFLpyNR29wwScwAoDfFr5JozY98PINITcrhQ3LZqFWq2nRcaDjSlSSbXEWerTRkJajkJmr0DtGQ24BHD5T2rEY209H3GkLO+JL0rYcsnD3zVrOpak5l6rQpYUGvRb+OFbSSTGaYO8xK/07aik0lmw9PShWy5mLVhJTSzpEGblw5ciQy6XTrtSs0rU+reurubu7luU7zCSmWrm87NlkLnmNWqcOdkoqS63v7DRs2JA9e/YwZcoU7r33XjIyMggKCmLIkCFMmTLF7h47zzzzDHv27GHatGl4eHgwc+ZM+vQpmU6mUqlYuXIlL774ImPGjCE1NZWgoCBuvvlmAgMdj5ZUp74to8nML2T22j2k5RXQONiX2aP643tpGtuFrDzUV8znDPJy4+NR/Xl75XbumfUDAe4ujIhtwZiby9m9p4ZK/uFX9P4+NHrpCfSB/uQeiGfXkAcpTim5kuccFlKyQOkSjcFAo5cn4BIVhiWvgJTVG9k/7gXM2aXbhWs93Gj8f0/jFBqEKTOLC0t/59jUd1HM5ipv3/XgGdOC2LWlJz3NZvwPgMSvf+TA2EnVVa1KV5fafaP+nJvi91Lo4oZTt4GoXUtuKpq3aBZKQUk71B7eoNhfjVX7BKALa0Du9x+ULVCxogkIxa1lJ1ROzlhzszGfiqdw0y9gqTntzli7Bp23F/XGPYTO15eC48c48t+nMGeWTM8yBAbCFdOl1QY9YQ8/giEkBEthIVnbt3Fy2lQseaWL0bXe3kS/PAWdrx+WvDwKTp7gyFMT7Hd9q2Z92jcnMzefj3/ZQFpOHo3rBTL7ieG27aSTM7JtMzMAcvKLeOWb5aTl5OHh4kTT8GDmPTeG6JDS0YuebZswefgAvly1lbcWrSIi0JcZD91L2ysuhFS3Fh36U5CbwYalH5KXk0pQWFNG/Pdz2zS27Iwku3bnZqXw6bTSqfrbV3/F9tVfEdH4JkY/X/Kdl5N5kR8+fYbC/Cxc3H0IbxDD2BcX4upetRcrNx2woNfCHV20OF26qeic1Sa7e+z4uKtwdSpt38FTVlydzPSK0eLuDMnpJXmuvGHoip1mFEXL8Ft1aNVw/LyVZdv+2e/wTU00aNQqbu+s4/YrdrPfe8zCD5trzveBuP5USkVX99dykZGRPPXUUzz11FPVXRWKFr9T3VWoFutGfV7dVagWiumG+BUTl6h0N+ai0diXelZ3FarFsZ/3Xj2oDmr1+pPVXYVq8ZNu+NWD6qBDR4uvHlQHvT625t1v8LKCjQsqrWyX7vdVWtnVQcbAhBBCCCGEEHVSrZ/GJoQQQgghxA1F1uxU2A3T2Tl9+nR1V0EIIYQQQghRhW6Yzo4QQgghhBB1gtxUtMJkDEwIIYQQQghRJ8nIjhBCCCGEELVJDbjZe20hnR0hhBBCCCFqEUWmsVWYdAuFEEIIIYQQdZKM7AghhBBCCFGbyNbTFSbvlBBCCCGEEKJOkpEdIYQQQgghahFFRnYqTN4pIYQQQgghRJ0kIztCCCGEEELUJrIbW4XJyI4QQgghhBCiTpKRHSGEEEIIIWoRWbNTcdLZEUIIIYQQojaRaWwVJt1CIYQQQgghRJ0kIztCCCGEEELUJjKNrcKksyOEqBQq3Y05xK6YlOqughCiklhv0F9v643acFEnSGdHCCGEEEKIWkSRNTsVJmNgQgghhBBCiDpJRnaEEEIIIYSoTWTNToXJOyWEEEIIIYSok2RkRwghhBBCiFpEQdbsVJR0doQQQgghhKhFFJnGVmHyTgkhhBBCCCHqJBnZEUIIIYQQojaRkZ0Kk3dKCCGEEEIIUSfJyI4QQgghhBC1iNxUtOJkZEcIIYQQQghRJ8nIjhBCCCGEELWI7MZWcfJOCSGEEEIIIeokGdkRQgghhBCiNpE1OxUmnR0hhBBCCCFqEZnGVnF1/p1SqVQsXbq0uqshhBBCCCGEqGK1fmTnwoULvPbaa6xYsYLz588TEBBAmzZteOqpp7j11luru3qVasGOOOZt2U9aXiGNgnyYOLALLesFlBufU2hk1prdrI07RXahkWAvd57vH0u3xuEALNp5mEW7DpOUlQtAdIA3D/doR9dG4VXSnoqKeHg4UU+NxRDoR+7BI8Q98yrZew46jFVptUQ/9xChI4bgFBJI/rFTHHlpBmm/b7HFaNxcafTykwQN7oXe35ec/fEcfu41svceqqomXVc+XdtT/5mxeLZrgVNIAHvueoyLP6+t7mr9a/J5/7269nkb2t2MoWNv1G4eWFLOUfDbIizJZxzGug1/Cl1EozLpphOHyFs8u0y6S59hGNp1o2DNYoy711/3ul+LwLvuJnjECHQ+vhScOM7pme+Qf/iww1iVRkPIqNH49euP3t+fwrNnSZw9i+wdO2wxAXfcSeCdd2IIDgGgICGB8199SfaO7VXSnopasGE3837bRnpOHo3qBfLC0H60jAp1GLts2z6mfP2zXZpeq2HXrBft0hKSU3n/p7XsPXYGs9VK/WB/3nn4HoJ9PCutHf/U7nXfsn31l+RlpxEY1oS+wyYTWr+Vw9iU88fZuOwDks/EkZ2exG1DJ9Gx9yi7mI3LPmTTLx/ZpfkGRfHYq79WWhsqqneMlpuaaHDWw+mLVpZuMZOeo/xtnk7NNHRvpcXNGZIzFH7eZuJcamkerQYGdNTSKlqDVgPHz1lZutVEXqF9OTENNXRtqcHPU4XRBAcTLCzbZq6MZlY5BZnGVlG1urNz+vRpunTpgpeXF2+//TYtW7bEZDKxevVqxo8fz5EjR6q7ipVm1cGTzPh1O5MHd6NlWADfbjvIo3NXsuypofi6OZeJN5ktPDJ3JT6uTswY1psAD1eSs3JxdzLYYgI8XZlwWwfCfT1RUPjlz2NM+PY3Fj52Jw0CfaqyeeUKvqsfTd6YSNyTU8navZ/Ix0fRYdkXbGzTj+LUjDLxjaZMIHTYYA6Of4m8own49+5KzIJZbO85jJz98QC0nP0K7s0asm/sCxiTUwgdNpgOy+ewKWYAxqSUqm7iNdO4upBz4CiJc3+g/ZKPrp6hBpPP++rq0uetaxqD8613UbDqe8xJp3G6qSduQ58g57OpKAV5ZeLzf/wMNKV/xlTOrniM/R/FR/4oW3aj1mhCI7HmZlVmE/4Vn1t7Ef7kBE699Sb5cXEEDb2PJu++z/777sWcmVkmvt7Dj+DXty8J06dTdOY0nh070eiNN4l76EEKjh0DoDg1hbOzZ1OUmIhKBX79B9Dorbc5NOoBCk+dquomOrR6TxzvLPmNF4cPoGVkKN+u28ljH37Lsqnj8fFwdZjHzcnA0mnjbY//umwhMTWDMTPmMqRzGx4d2B1XZwMnk1IxaGvO6U7crpX8vugN+t8/ldD6rdm5Zh7fvTeOx179FVcP3zLx5uIivP3DaNq+L78vfKPccv1DGnL/M1/ZHqvV1d/m7q01dG6uYfFGExm5CrfFaPlPPx3vLinGbHGcp1V9NQM7aflpi5nEFCtdWmgY20/PjEVG8otKYgZ20tIkXMN3a00UFSsM7qzj/l56Pvml2FZO15YaurXUsnKnicQUBb0OvN2kg3AjqtXT2B577DFUKhW7du3irrvuolGjRjRv3pynn36aHVdc4brSwYMH6dmzJ87Ozvj6+vLQQw+Rl1f6R3TDhg106NABV1dXvLy86NKlC2fOlF5VXLZsGe3atcPJyYn69eszbdo0zOaqv0owf+sB7mzfhCExjYkO8Gby4G446bQs3XvUYfxPfxwlu6CId0f0oW1EEKHe7rSPCqFxcOkX6y1NIujWOJwIP08i/bx4oncHXPQ6DiTWnBPAqCdHkzhnMefm/0jekZMcemIKlsIi6o28y2F86PDbOfn2p6Su3kTh6XOc/XwBqas3EfXkGADUTgaChtzGkckzyNy6h4KEsxx/bRYFCWeJeHBYVTbtukldvYljU97j4rI11V2Vayaf99XVpc/bqUNPjPu3UnxwB9b0CxSs+h7MxehbdXYYrxQVoOTn2A5dVBMwFZfp7KjcPHHpfS/5P89FsZRzhlWNgocNI+XnZaStWE7h6VOceusNrMYi/AcOchjv17cfSfPmkb19G8akJFJ++pGsbdsJHjbcFpO1ZUvJ8+cSKUpM5Nynn2AtLMCtRYuqatZVzV+znTu7tGNI5zZEh/gzefgAnHQ6lm77s/xMKvDzdLMdvh5udk/PWraeri0a8N+7etMkPJgwfx9uad243M5Tddjx+1zadruHNl3vwj+kAQPun4ZO78S+LT84jA+Jakmve56nRYcBaLS6cstVazS4efrbDhd378pqQoV1aaFl3Z9mDp+xciFDYeEGEx4uKppFlH/62bWlll1HLOw9ZiElS2HpFjPFZmjfWAOAQVfy/+U7TJxMsnI+TWHJRhORQWrCAko6M856uK29lkUbTOw/aSUjV+FChkL8WWuVtLsqKCp1pR11Ta1tUUZGBqtWrWL8+PG4upb9EvPy8iqTlp+fT58+ffD29mb37t0sXryYNWvW8PjjjwNgNpsZMmQI3bt358CBA2zfvp2HHnoI1aVLR5s3b2bkyJFMmDCBw4cP8+mnnzJ37lxee+21Sm3rX5nMFuKT0ugUXc+Wplar6BQdyoHEiw7zbDxyhlbhgUz/ZQs9ps/nzg8W88WGP7FYHf/iW6xWfj1wgsJiE63DAyulHf+USqfDo21z0tdvK01UFNLWbce7YxuHedR6PZYio12apbAI784xJWVqtai1WqyOYmJjrmv9xT8jn/cNRq1BExSO+dSVF2wUTKePoA2NqlARhladKT68F0zFV6SqcB00mqKda7CmJV/XKl8PKq0W18ZNyNm9qzRRUcjevRv3Fi0d59HrsRbb/wxbjUW4t27t+EXUanx69Ubt5EzewZoxXdNkthB/NpmOTUs/W7VaRcemURxIOFduvkJjMf3+9z59Jr3HU7MXcOKK0VirVWHzweNEBPjy6Aff0OO5Gdz/xhes21dzZnlYzMUkn4kjqllpB16lVhPVNJZzCfuuqeyMi2d495lufDixFz99/izZ6UnXWNtr4+OuwsNFxYnzpecZRhMkpipEBDo+/dSoIdTPPo8CnDhvJSKgJE89fzVajX1MarZCZq5ii2lQT40K8HSFp+/WM2mYgeG36vCsOX1eUYVqbWfnxIkTKIpCkyZNKpznu+++o6ioiK+//poWLVrQs2dPZs2axfz587l48SI5OTlkZ2czcOBAoqOjadq0KaNGjSI8vGTNyrRp05g4cSKjRo2ifv369O7dm1deeYVPP/20sprpUGZBERarUma6mq+bM2l5BQ7znMvIYU3cKSxWhY9G9uWhHu34eusBPt9gfwXt+IUMOv3fV9w09Ute+3kL7w6/jeiA6r86BKD380at1WK8mG6XbkxJwxDo5zBP2potRD0xGpfoCFCp8OvZmaDbe2MI8gfAkpdP5o4/aTDxMQzBAaBWE3LfILw7trHFiOohn/eN5f/Zu+/4pqr3geOfm6RJ9160FMpeZe+9hwwFURBRhujXr+PrwIE4UFyoP/dWFMEJCggqAiqC7C0byqaFlu49Mu/vj0BKaAoFWkLL83698oKenHtzntw0vec+55yrePuiaLTYCnOdytWCPDS+/hfdXlujNtrwaIw71zmVe3YeAKoN49Zra47OWbrAQBSdDnOm87BMc2YmHiGuhw/nbNpI5G23Y6gZA4qCf/sOBPXqjUeI8++FV716tFuxkg7/rKHOk1M4+NQUio5fG0PYsvIL7X/Hzsu4hPj5kJ5besgiQGxkCC+Mu5F37hvNKxOHY1NVJrzxFSlZ9s9MZl4BhUYTs5avo0vT+nzy0B30adWYxz77ka0Hj1d2SOVSmJ+FarPie95wNR//UPJz0i97v9F1W3LjXTO4/ZEvGHzH82Snn2TO63dgLHb9Xl4NZ09R8ouc5+fkF6n4erkeTubtCVqN4nobb8WxX4tVpdhEmXWC/RQUBXq10vHrRgvfrjDhZYBJg/Voq+yZ73kUpfIe1Yz7B3ReJlW98OQ2V/bv30/Lli2dMkFdu3bFZrMRHx9Pjx49mDBhAgMHDqR///7069ePUaNGUaNGDQB27tzJunXrnDI5VquV4uJiCgsL8fb2LvWaRqMRo9H5CpxqtmDwuLpvvU2FYB9Ppg3vjlajoWl0GKm5BcxZs5P/9im5oh0bGsCPD4wkv9jEn3uP8dyCVXx597BrpsNzqfY98QpxH71Ezx2/o6oqhUcTOfnNQqdhUDsnPUnzT1+l75HV2CwWcnfsI+nHJQS0bubGlovLIcf7+mVo2QVL6imnxQy0kTEY2vUi96uy5zlURSfeeZs6Tz1Ny7nzQFUpPnWK9CW/ETZ0qFO94hMn2D3+TrQ+voT06UO956ax//77rpkOz6VqWTeGlnVjSn6uF8PNL3zM/DXbeODG3tjOnBf0atmIO/t1AqBxTCQ7j55k/upttGsY645mXxX1m/dw/D8iphHRdVvy/pQ+7NuyjNbdb7kqbWhVT8OI7iXD7GYvM12gduVSFNBpFX5db+bQmQzQ3L/NPDPWQN0oDYdOVp/hbOLiqmxnp0GDBiiKUuGLEHz11Vc89NBDLFu2jHnz5vHss8/y559/0qlTJ/Lz85k+fTo333xzqe08PT1d7m/GjBlMnz7dqeyZW/rz7KiBl93GIG9PtBqFjPOWHcnILyLUt3SHCyDMzxudRoNWU3JJo25YIOn5RZgtVjx09rGwHjottULsK9Y0jQ5j78k0vlu/m2nDe7jc79VkSs/CZrFgiHC+ImYID8WY4vqKmCk9i+2jH0Rj0OMREogxKZVGLz1G4bFER53CY4lsGngnWm8vdP6+GE+n0errtyk8nuhyn+LqkON9fVEL81FtVjTe/pw7q0bx8cOWn1vmdgB46NE3aUfRmt+cinUx9VF8/Ah44OWS/Wm0ePUZiaFdH3I/ea4CI7g8luxsVIsFj2DnLI5HcDDmjNKLcJzd5tBTT6Lo9egCAjCnpRFz/wMUn3IetqRaLBhP2oeEFcYfwKdJEyJGj+b46+7v/AX5etv/juUWOJVn5BUQet48nLJ4aLU0iokkMTXTsU+dRkO9Gs4ZrjqRofx7OKFiGn6FvH2DUDRa8nOdM9YFuen4BrjOWF8OT29/giNiyUx1vZJhZdiXYCNxYUkHR2s/rcDXSyHvnEyNr5dCcobrzkZhMVhtZzM/ztvkF9p/zi+yd2Q89Thld86tk3dmkEtKdsnrFBTbH4E+1SNzoVbdwVlXXZV9p4KDgxk4cCAfffQRBQUFpZ7Pzs4uVdakSRN27tzpVH/dunVoNBoaNWrkKGvdujVTp05l/fr1xMXF8f333wPQpk0b4uPjqV+/fqmHRuP6rZw6dSo5OTlOjydGXNmS2B46LU2iQtl09JSjzGZT2XQ0iRYxrufXtKoVQWJmDjZbyZfHifQcwvy8HR0dV2yqitl6bVwBUc1mcv/dS0ivziWFikJI705kbdpxwW1tRhPGpFQUnY7I4QNIWfJ3qTrWwiKMp9PQBfoT1q8bKb+VriOuHjne1xmbFevpBHSxjc4pVPCo3QjLqQtnIvSN24BOh2nvZqdy057N5H7xCrlfvup42PKyMW76k/x5H1RCEJdOtVgoiD+Af7v2JYWKQkC79uTtcb3EumNbkwlzWhqKVktw795krVl94RdTNGg8yp7gfjV56LQ0qVWDzQdKjq3NprL5wDFa1K15gS1LWG02Dp9KJTTA17HPprFRHD9v6OuJlAxqhARWWNuvhFanp0btZhzfX7IEuGqzcezARmrWbVVhr2MqLiArNRG/gKs3PNdkhoxc1fFIzVLJLVSpH11yfmTwgJgwhRMpZc0XhlPpztsoQP0oDSdS7ducTLNhsarUjyqpExqgEOSnOOqc3X9YQEkdLwP4eEJ2/qWPDLoWqYpSaY/qpspmdgA++ugjunbtSocOHXjxxRdp0aIFFouFP//8k08++YT9+/c71R87dizPP/8848eP54UXXiAtLY3//e9/3HnnnURERHDs2DE+//xzbrzxRqKiooiPj+fQoUOMGzcOgGnTpjF06FBq1arFLbfcgkajYefOnezZs4eXX37ZVRMxGAwYDAansuIKGMJ2Z9cWPLdgFc2iwoirGca363dTZDIzvK39nhPPzF9JuL99KWmAUR2aMnfTXl7/fT1jOjUjISOXL/7Zwe2dS4buvPfHZro1iCEy0JdCo5nfdx1m6/EkPhk/+IrbW1GOvT+bFjNfI2f7HrK37qLOg+PReXtx8puFALSY+RrGpFTin38bgID2LfCMiiB35348oyJo8MyDKBoNR9/+wrHP0H7dQIGCg8fwqVebxq8+Qf7Bo5z8eqFbYrxSWh9vfOqX3BvJu05N/Fs2xpSZQ3HitTdB+0LkeF9cdTrexZv/xmfoOKynT2BJOoFn+97gYcC0y35i6D10PLa8bIr/Wey0nb5lF8wHd6IWOV/4UosKSpdZrdgKcrFlXjurTCb/8AP1nptGwYH95O/dR+Rtt6Hx9CTtN3umqu605zGnpZH4if3eQT5Nm6EPC6Pw0EH0YeFE3303KBqSv/3Gsc+Y++4ne8N6jKdT0Pp4EzpgIP5t2nDgkYfdEqMrd/brzHOzF9G0dhRxsVF89/cmikxmburSCoBnv1pEeKAfD525QPjZkn9oXqcmtcKCySsqZs4f60nOzGFE1zaOfU7o34Unv5hPm/q1ad8olvV7D7N690G+mDzeVRPcolP/CSye9RQ1ascRVacFm/+ag9lYRMuu9lEji76cgl9gOH1HPgbYFzVISzpy5v9m8rJTOJ2wH73Bm+CI2gD8+ePrNGzZm4CQKPKyU/ln8YdoNBqadRzquhFXybo9Fvq01pGeo9qXnm6nI7dQZd+Jks7O3YM92HvcxoZ99pzu2t0Wbu3pwck0G4lpKt3itOg9YNtB+/NGM2yNtzKkkweFRjNGs33p6RMpNhJT7R2Z9ByVvcetDOusY+EaM0YzDGqvIy1H5UjStXEBV1w9VbqzU7duXbZv384rr7zCY489RnJyMmFhYbRt25ZPPvmkVH1vb2+WL1/Oww8/TPv27fH29mbkyJG8/fbbjucPHDjAnDlzyMjIoEaNGjzwwAPce++9AAwcOJDffvuNF198kddffx0PDw8aN27M3XfffVXjBhjUvB5ZBUV8vGIr6fmFNKoRwsfjBxNyZhjb6ex8NOf0ziMDfflk/GD+7/cN3PrhAsL9vBnbOY6JPUpW78nML+LZBStJyyvE11NPw4gQPhk/mM71y3eV7WpIXrAUfVgwDZ/7H/qIMPJ27Wfz8Hswpdqv5HnFRNknKJ2hNRhoOO1hvOvEYM0vJHX5P+y8ewqWnDxHHZ2/L41enIxndCTmrGxOL/qTgy+8g+qGJcUrQkDbODqvKDnpafrm0wAkfr2QXZOmuqtZl0WO98VVp+Nt3r+NIm9fPLsPReNjv6lo/o8fohbaj5/GPwhU5xMVTXA4HjH1yfvhfXc0uUJkrvgLj6BAat79HzxCQig8dJADjz6CJcs+PMsQEQHnrJypMeiJufe/GKKisBYVkb1hPUemv4D1nNso6IKCqDfteTxCQrHm51N45DAHHnnYedU3NxvYrhlZeQV88usq0nPzaVQzgo//d7tjOenkzBzHaqgAuQXFvPTtb6Tn5uPv7UmTWjWY88RE6kWVZC/6tG7Ms7cP4ctl63jjx2XUjgjhzf+MovU5FwTcrVmHwRTmZ/LP4g/Iz00jIqYJtz8y0zGMLTcjySnuvOxUZr44wvHzhuWz2LB8FrUbtmfck/bf/dysFBZ+/hhFBdl4+wUTU78tE5+eh4+fe++R989OK3qdws3dPfA8c1PRr5aZne6xE+Kvwcez5Ht811EbPp4W+rf1wM8bkjJUZi01Od0w9LeNFlQV7ujngU4LB8/cVPRcP64yM7SzjomD9NhUOJZsY9ZS07l/Mqq06rhEdGVR1MuZ6S+uSPFPb7m7CW7x9/iZ7m6CW6jm6/NXTPGofqnw8rhej3eXF69seG5VdfCXbe5uglu0ePUhdzfBLRbobr94pWpozwHjxStVQ6/d43o+9rXg9IEL3I/qCkU2bl1p+3aHKp3ZEUIIIYQQ4nqjcn1eULwckgMTQgghhBBCVEuS2RFCCCGEEKIKkTk75SfvlBBCCCGEEKJaksyOEEIIIYQQVUh1vB9OZZHMjhBCCCGEEKJaks6OEEIIIYQQVYiKUmmPS/XRRx8RGxuLp6cnHTt2ZPPm8t3Pa+7cuSiKwvDhwy/5NS+FdHaEEEIIIYSoQlRFU2mPSzFv3jwmT57M888/z/bt22nZsiUDBw4kNTX1gtsdP36cxx9/nO7du1/J21Au0tkRQgghhBBCXLK3336be+65h4kTJ9K0aVM+/fRTvL29mTVrVpnbWK1Wxo4dy/Tp06lbt26lt1E6O0IIIYQQQlQhlTmMzWg0kpub6/QwGo2l2mAymdi2bRv9+vVzlGk0Gvr168eGDRvKbPuLL75IeHg4kyZNqpT35nzS2RFCCCGEEEIAMGPGDAICApweM2bMKFUvPT0dq9VKRESEU3lERASnT592ue+1a9fy5ZdfMnPmzEppuyuy9LQQQgghhBBVSGXeVHTq1KlMnjzZqcxgMFzxfvPy8rjzzjuZOXMmoaGhV7y/8pLOjhBCCCGEEAKwd2zK07kJDQ1Fq9WSkpLiVJ6SkkJkZGSp+keOHOH48eMMGzbMUWaz2QDQ6XTEx8dTr169K2x9aTKMTQghhBBCiCrkWlh6Wq/X07ZtW1asWOEos9lsrFixgs6dO5eq37hxY3bv3s2OHTscjxtvvJHevXuzY8cOYmJiKuS9OZ9kdoQQQgghhBCXbPLkyYwfP5527drRoUMH3n33XQoKCpg4cSIA48aNIzo6mhkzZuDp6UlcXJzT9oGBgQClyiuSdHaEEEIIIYSoQipzzs6lGD16NGlpaUybNo3Tp0/TqlUrli1b5li0ICEhAY3GvW2Vzo4QQgghhBBVyKUMN6tsDz74IA8++KDL51atWnXBbWfPnl3xDTrPtdEtFEIIIYQQQogKJpkdN8jdvtPdTXCLzs/1cXcT3EJxc/rWXdQzK6yI68P6aSsuXqkaanpnI3c3wS1M2za7uwlukRc31t1NcAuN5trJIgg7VZFjUl7X51mYEEIIIYQQotqTzI4QQgghhBBViKpKZqe8JLMjhBBCCCGEqJYksyOEEEIIIUQVokq+otzknRJCCCGEEEJUS5LZEUIIIYQQogq5lu6zc62Tzo4QQgghhBBViHR2yk+GsQkhhBBCCCGqJcnsCCGEEEIIUYVIZqf8JLMjhBBCCCGEqJYksyOEEEIIIUQVIpmd8pPMjhBCCCGEEKJaksyOEEIIIYQQVYiqSmanvCSzI4QQQgghhKiWJLMjhBBCCCFEFSJzdsqvWmR2YmNjeffdd93dDCGEEEIIISqdilJpj+rG7ZmdYcOGYTabWbZsWann1qxZQ48ePdi5cyctWrRwQ+uubV6d+uLdYzAa3wAspxPJ++UbLCePuqwbeM9U9HWblCo3HthBzpy3AVB8/fEdNBp9gzg0nt6YjseT/8s3WDNSKjWOS2Vo0wNDx/5ofP2xpp6k8I8fsSafcFnX9/ZH8KjdsFS5+fAe8n/6GADvIXdiaNHZ+fmje8mf91HFN/4K6Fv3wLNjXxQff6yppyj666ey4x7zMLpaDUqVm4/soWD+p6XKvQbchqF1N4pWzMe4dVVFN/2KXK/Hu6LjPpf3wDEY2nSn8K+fMG5ZWeFtvxqCu7Wj7mOTCGgTh2dUOFtH3k/KLyvc3azL5tdnMAGDRqANCMKUeIyM7z7HdOxQmfX9+9+IX+9B6ILDsOXnUrB1PVnzv0a1mEvVDRg8kuBbxpPz5y9k/vBFZYZxyfStumFo38f+vZZ2iuIVC7CeTnBZ12f0g+hiXHyvHd1L4cLPATB0GYRHozZo/APBasWakkjxmiVYT7v+3bladq75jq1/f0lhbhqh0Y3pPfI5ImuXfV5z8N+lbPj9PXIzTxEYFku3YY9Tp1lPx/MFuems/fVNEg6sxViUR3S9dvQa+RxB4bHn1EljzeI3SIhfj8lYQFB4HTr0/y8NWg2szFDp10ZLu0ZavPRwIkVl8XoLGbnqBbfp1ERD9+Y6fL3gdKbKrxssnEwv2UanhcEddLSoq0GrhUMnbfyy3kJ+cck+Xp1kKLXfuSvN7DpqA6BOpMI9Q/Sl6rz6vZH8ossMVlQJbu/sTJo0iZEjR3Ly5Elq1qzp9NxXX31Fu3btpKPjgqF5R3yH3E7eotmYE4/g3XUggXc9QcZbT6IW5JWqn/Pt+yjaksOtePsS/NDLGHdvdpQF3vkIqtVCzjfvohYX4d1tEIGTppDxzlNgNl2VuC7Go0lbvPqOpHDZD1iSjuPZvg++o/9H7ucvoBbml6pfsPBzODduLx/8Jz2N6cB2p3rmI3spWPJNSYG19AmDO3k0boNXnxEU/TEPS9JxDO164zPqAfJmvug67p9nglbr+Fnx8sFv4lTMB/4tve8GLdBFxWLLy67MEC7LdXu8KyluAI+GLdFGX5vH+1JofbzJ3RVP4uwFtJt/bXVUL5VP+26EjJ5E+jcfYzx6EP/+NxI5eTonn74PW15O6fodexB0yzjSZ72P8fABPCKjCJ30MKgqmfNmOdXVx9bHr+cgjInHrlY45ebRqDWevUZQ9NePWJOPY2jTC59b7iNv1isuP+eFi2eBxvl7zXf8k5jjdzjKbJlpFK2Yjy0nA0XngaFtL3xuvY+8L15CLSq4GmGVEr/9d1b/PIM+o6YTGduSf1fN4edPJjH+mWV4+4WUqp90bDtLv36MrkMnU7dZbw5s+5Vfv3yA2x9fSGhUQ1RV5dcvH0Cr1THs7o/Re/qyfdVsFn48kXFTl+Bh8AZg+bdTMBblcuM9n+DlE8SBbb/y++xHGPP4AsJrNq2UWHu00NK5qZb5qy1k5an0a6tl4kAP3l1owmJ1vU3zOhoGd9SxaJ2Fk2kqXZppmTjIg7fnmyg405kZ0lFHoxgN3/9tptgEN3bRMbafB5/95vzdPX+1mYMnbY6fi12curz1kwmjuaQjVVBFOzrVMQNTWdw+jG3o0KGEhYUxe/Zsp/L8/Hx++uknJk2axIIFC2jWrBkGg4HY2FjeeuutMvd3/PhxFEVhx44djrLs7GwURWHVqlUArFq1CkVRWL58Oa1bt8bLy4s+ffqQmprK0qVLadKkCf7+/tx+++0UFhY69mOz2ZgxYwZ16tTBy8uLli1bMn/+/Ip8O8rNu/sgirasonjbGqypSeQtmo1qMuLVrqfL+mpRAbb8HMdD3yAO1Wyi+ExnRxsaiUet+uQtmoPl5DGs6afJWzwHxUOPZ8vOLvfpDp4d+mDcuQ7T7o3YMk5TuOwHsJjQt+jisr5aXIhakOt4eNRpDGZTqZNA1WpxqqcWX1vffob2fTDtXO+Iu2j5XDCb0Dd3fWzscec5Hh6xZ+KOd+7sKL4BePW/lYLfZoOtjL9EbnS9Hu/KilvxDcC7/ygKfpmNar32jvelSFu+moPPv0vK4r/c3ZQr5j/wJvJW/0H+2hWYkxLJ+PpjVJMRv+79XNb3rN8E46H9FGxajSUjlaK9OyjYtAZDXefsnmLwJPw/j5E+50NsBaU7D+6mb9cL0+71mPdswpaRQtGfP6KaTejjOrmsrxYXohbmOR662o3AbMZ8cIejjvnANqwJB1FzMuzflat+RjF4oQmLvkpRlbZ91VfEdRlFs04jCYmsT99R09HpPdm7cYHL+v/+8zWxjbvTru/dBEfWo8uQRwiv2ZSda74FIDvtOKeP76DPrS8QWbsFwRF16XvrC1jMxcRvX+LYT/Kxf2nV4w4ia7cgIDSGjgPvx+DlT2ri3kqLtUszLSt3WNmfYON0lspP/1jw84amtcs+3ewWp2VLvI3th2ykZqssXmfBZIG2De0dW4MHtG2o4fdNFo4mqyRlqCxYbaF2hIaYMOcT/iIT5BeVPFx1sAqKVac6F845ierA7Z0dnU7HuHHjmD17Nqpa8pH76aefsFqtNGnShFGjRnHbbbexe/duXnjhBZ577rlSnaPL8cILL/Dhhx+yfv16EhMTGTVqFO+++y7ff/89S5Ys4Y8//uCDDz5w1J8xYwZff/01n376KXv37uXRRx/ljjvu4J9//rnitlwSrRZdVCymw+d8YakqpiP78KhVv1y78GrXA+OujSUZm7NXhc8dAqGqqBYzHrGlh8e4hUaLNrIWlmPx5xSqmI8fQBddp1y7MLTogmnftlKZKl2tBgQ89Dr+/3ke74G3oXj5VGDDr5BGizYyBssJ57gtx+PLHbe+RRdM+7efF7eC99BxFG9agS39dIU2uUJc18e7MuJW8Bk2geJNf2FLT67QJosroNVhqF2fon07SspUlaJ9OzHUa+xyk+LD+9HH1kNfxz6kSxcWgVfzthTu2uZUL+SO/1K4ayvF+3ZWVusvn0aLNiIGy4mD5xSqWBIOoo2KLdcu9M07YT5w/vea82voW3RBLS7Elnbqipt8OawWE6mJe4lpWHKhQtFoqNWwC8nHS2faAU4f20FMI+cLWbUbdyP5+A7HPgG0HiXDthSNBq1Oz6mjJZ+BGnVac3D7UooLslFtNuK3L8FiMVKzfoeKCs9JkB/4eyscSSrJrBjNcDJNpVa46yyEVgNRoQqHz9lGBY4k2RzbRIcq6LTOddJyVLLyVWqFO5/G3thZxzNj9dx3owdtG7g+xf3fcD1PjdEzcZBHme2qClRVqbRHdeP2YWwAd911F//3f//HP//8Q69evQD7ELaRI0fy+eef07dvX5577jkAGjZsyL59+/i///s/JkyYcEWv+/LLL9O1a1fAPpxu6tSpHDlyhLp16wJwyy23sHLlSqZMmYLRaOTVV1/lr7/+onNn+5dQ3bp1Wbt2LZ999hk9e7rOqFQGjbcfilaLLT/XqdyWl4MurMZFt9fVrIsuMobcBV86yqxpyViz0vEZeCt5P3+Fajbi3XUQ2sAQNH6BFR3CZVG8fVE0WmyFznGrBXloQyIuur22Rm204dEU/P6tU7n56D7M8Tuw5mSgDQzDq9eN+I56gLyv/w9U91/zccR93vBEW2EuuvLGHRZF4dLvnMoNnfqDzYZp26qKbG6Fue6PdwXH7dl5AKg2jFur5hyd6krr54+i1WLNzXYqt+Zm41HDdTaiYNNqtH7+RE19DVBQdDpyVy4lZ8lPjjo+HbpjqF2XpBcfq8TWXz7FywdFoy017FotyEMTHH7R7bWRtdCGRVG0/IdSz+nqNsN76Hjw8EDNz6Vg/iduG8JWVJCFarOWGq7m7RdCZqrrObYFeel4+4WWql+Ymw5AUERd/IKiWPfrW/Qd/SIeei+2r5pNfvZpCnLTHNsMnvAuv895lE+f7ohGo0On92TYpA8JDKtdwVHa+XnZT5Lzi5y/R/OLVHy9XJ9Ae3uCVqO43CYsQOPYr8WqlhqSll+k4utd8vOf2ywcSbJhtkKDaA03dtGh97CyYZ89vZNXBIvWmjmZrqLTQrtGWu4Z4sEnv5hJynD/d7+oPNdEZ6dx48Z06dKFWbNm0atXLw4fPsyaNWt48cUXmTx5MjfddJNT/a5du/Luu+9itVrRnjMv4VKdOxcoIiICb29vR0fnbNnmzfZhXocPH6awsJD+/fs77cNkMtG6desyX8NoNGI0Gp3LLFYMustv95XyatcDS3KC82IGNis5376P38hJhD3/KarViunIXozx1+AVwctkaNkFS+qpUpO8zftLroTZ0pKwpp0k4L6X0NVqeF42pWrSt+iM9by4tRExGNr2Im/O625sWeW6Xo+3q7i1kTEY2vUi96vX3NgyUVE8G8URMORW0r/5FOPRg3hE1CBkzD1Yh40m+9d5aINCCRlzD8lvTXO5YEF14NG8E9a0JJeLGVgSD5H/9RsoXj7oW3TBe9gE8r972+U8oKpIq/Vg6KQP+POHZ/h0agcUjZZaDTsT26QH6jmDsjb8/h7Golxuvn82Xr5BHNn1F0tmP8Koh74jNKrRFbejZT0Nw7uWnEZ+/Yd7P2srd5SMWUvOsKLXQffmWkdnJz1HJT2n5P1JSLUQ4udB1zgtP/1juertvVI2mbNTbtdEZwfsmZX//e9/fPTRR3z11VfUq1fvsrIlGo39SsC5Q+LMZte/gB4eHo7/K4ri9PPZMpvNnjbNz7d/SS5ZsoToaOerbQZD6RVAzpoxYwbTp093Knu8awue6N7yYqGUyVaYh2q1ovH1dyrX+AW4nMzqxEOPoWUnCv5cWOopS9Jxsj54DsXgBTodakEeQfc/j/nktTGxVS3MR7VZ0Xj7c+4wXMXHr1SWqxQPPfom7Sha89tFX8eWnYGtMA9NUBhcAye/jrh9/Jzi1nj7oxaUJ+62FK1Z4lSsi6mH4uOL/30vOsoUjRbP3jdjaNeb3E+fr8AILs91f7wrMG5dTH0UHz8CHni5ZH8aLV59RmJo14fcT56rwAjEpbDm5aJarWj9A53Ktf6BWHOyXW4TNGIs+etXkr/mTwDMp06g6D0JHf8A2b/9iCG2HtqAQKKff8exjaLV4tmwGf59hnD8PyNBtbnc99WiFhWg2qwoPn5O5YqPn8tFdpx46NE3bkPxuqWunzebsGWnQ3Y6Rckn8J30LPq4Thg3X/35XV4+QSgaLYV5GU7lhXkZ+JyXvTnLxy+Uwrz0UvW9/UvqR8TEcceTizEW5WG1mvH2DeaHt28lIiYOgOz0BHau+ZY7n/qNkBr24Y5h0Y05dXQrO9d8R9/RL3Kl9ifYSEwtSbfotPaTb18vhbxzMjW+XgrJma4/b4XFYLWdzfw4b3N2H3lFKjqtgqfeecEBXy+F/ELKlJim0qe1glYD1jI+7olpNmIj3T6jQ1Sya6azM2rUKB5++GG+//57vv76a+677z4URaFJkyasW7fOqe66deto2LChy6xOWFgYAMnJyY6My7mLFVyupk2bYjAYSEhIuKRO2NSpU5k8ebJTWc5L911ZY6xWLEnH0ddrhmnfmQnIioK+XlOKNlz4y9yzeQcUrY7iHevLrKMai8AI2pAIdNF1KPjT9STKq85mxXo6AV1sI8yHzmacFDxqN6J424XnTekbtwGdDtPezResB6D4BaJ4+aDmX6TjeLXYrFhPJ6Kr3QjzoV1nChV0sQ0xblt9wU31jVqDVod57xanctOeLZiPO5/Y+456ANPezZh2b6zI1l++6/p4V2zcpj2bMR874FTmd9v/MO3ZhHHXhopsvbhUVgvGE4fxbNKSwn832csUBa8mLcj9e4nLTRS9ofSQS0fnRaFo/y5OPveg09Nhdz2MOfkk2UsXuL2jA9g/5ymJ9ozq4d1nChV0tRpi+nfNBTf1aNjK/r22b8sF6zkoCujcc7qj1ekJj2lG4sEN1G9hX3BCtdlIPLiBlt3vcLlNZJ1WJB7cSJteExxlCfHrqRHbqlRdg5e9s5iVepzUhD10GfwwABaTfdEVRXE+kVc0WqeLwVfCZIZMp2vJKrmFKvWiNCRn2i/VGDygZpjCpgOuX9Nqg6R0lfo1NOw/Yf9cKkC9KI0jI3MqXcVite9373F7ndAAhSBfhYTUsj/LNYIVCo1qmR0dgBohGvIKq+YQNlmNrfyumc6Or68vo0ePZurUqeTm5jrm4zz22GO0b9+el156idGjR7NhwwY+/PBDPv649L0jALy8vOjUqROvvfYaderUITU1lWefffaK2+fn58fjjz/Oo48+is1mo1u3buTk5LBu3Tr8/f0ZP368y+0MBkOpzE9xBQxhK1yzDP9b78Fy6hjmxKN4dx2AojdQdObk1+/W/2DLzaJg+U9O23m264lx33aX6XxDXHtsBXlYszPQRcbgN2wsxn3bMB3ac8XtrSjFm//GZ+g4rKdPYEk6gWf73uBhwHTmhM176HhsedkU/7PYaTt9yy6YD+4sPW7bw4BXt8GY4v9FLchFExiGV+8R2LLSMB/bf7XCuijjlr/xHnInltMJ9iVa252J+0zHxHvIndjycihe/YvTdvoWnTEf2oVa7By3WlxQqgybFbUgF1tmaqXGcimu1+Nd0XGrRQWly6xWbNfY8b4UWh9vfOrXcvzsXacm/i0bY8rMoTixai3AkLt8MaF3P4Lp+GGMx+xLTysGT/LW2u8bFHr3I1izMsla8DUAhTu3EDDgJkwJRzEePYguvAZBw8dSuHMzqDbU4iLMp5yHd9mMxVgL8kqVu5Np6yq8bhiLNSUBa3IC+rY9UTz0mPbYO31eN4zFlp+D8bxMpb55J8yHd6MWn3dZ30OPoeMALEd2YyvIRfHywdCqOxrfAKflqa+2Nr0m8sd3U4ioFUdkrRZs/2cOZlMRTTveDMDyb5/EJyCCbsPs86ta9xzH/PfvZNvfs6jTrCfx238nJXGPUzbm4L9L8fINxj8oivTkeFYtfJV6zftRu3E3wD6vJzC0Nit+nEb3m6bg6RPIkV1/kRC/jpvu+azSYl2/10rvVlrSc1Wy8lT6t9WSVwj7TpT0OCbd4MHe41Y27reXrd1j5ZYeOk6maziZptI1ToteB9sP2js7RjNsO2hjcEcdRUb70tPDOus4kWIjMc3eUWkco8HXy57NMVtUGkRr6NVSy5rdJfnxLs20ZOWppGTZ8NAptGuooV4Nha+WVb0hbEC1XEigslwznR2wD2X78ssvGTx4MFFRUQC0adOGH3/8kWnTpvHSSy9Ro0YNXnzxxQsuTjBr1iwmTZpE27ZtadSoEW+88QYDBgy44va99NJLhIWFMWPGDI4ePUpgYCBt2rTh6aefvuJ9Xyrj7k3k+/rh0+9mNH4BWJITyP7q/1DPDHPRBoaUuvKnDY1EX6cRWV+6nqeh8Q/Ed8jtaHwD7CdS/66j4O9FlR3KJTHv30aRty+e3Yei8bHfbDH/xw9RC+3DHjT+QaWuWmqCw/GIqU/eD++X3qFqQxsejW/zTiieXtjycrAc20/R6l/Beu18AZoPbKfI2xevbkNQfPywpp6i4MePzok7uNTx1gSHo4upT/68D93R5Apx3R7vio67GgpoG0fnFSX3Smr6pv17OPHrheyaNNVdzbosBVvWovELIGj47WgDgjAmHiXlnRewnVm0QBccBraS3+/sX+eBqhI04g60QcHY8nIp3LmZrAXflvEK1yZz/L8o3r54dh2M4u2PNe0kBfM/Pe9zft73WlA4upr1KHBxs1xsNrTB4eib3YXi5YtaXID1dAIFc9/HluG+FScbtRlMUX4mG35/335T0ZpNGP7fL/A5MywtNysZzsnARNVpw6Bxb7Lh93dZ/9vbBIbFMmzSR4RGlayMWpCbxupFr9mHw/mH0aT9TXQceL/jea3Wg5vu/Zx1v77FL5//F5OpkMDQWgwc+5rTzUkr2upd9rkyI7rq8DxzU9GvlpudloAO9lPw8Sw5Ud99zIaPp4V+bXX4eUFyhn2bc28YumSTBVXVcXtfD3QaOHTKxuL1Jd/ZVptKp6Y6hvgpoEBGrsrvmyxsiS/5ntRqYHBHHf7eYLbYb146a5mZo8lVM7Mjyk9RKyqfKcotdeo4dzfBLTz8fd3dBLdQNNfneGDVdg0MlRFXzfppK9zdBLdoeueVT/SuioKblm8Z9Orm+7j33N0Et0g8Zbx4pWro1Ullz8l2t20HMytt320bBlfavt3h+jwLE0IIIYQQQlR719QwNiGEEEIIIcSFyZyd8pPMjhBCCCGEEKJaksyOEEIIIYQQVYgsPV1+ktkRQgghhBBCVEuS2RFCCCGEEKIKkTk75SedHSGEEEIIIaoQublD+ckwNiGEEEIIIUS1JJkdIYQQQgghqhAZxlZ+ktkRQgghhBBCVEuS2RFCCCGEEKIKkaWny08yO0IIIYQQQohqSTI7QgghhBBCVCEyZ6f8JLMjhBBCCCGEqJYksyOEEEIIIUQVInN2yk86O0IIIYQQQlQhNtXdLag6ZBibEEIIIYQQolqSzI4QQgghhBBViAxjKz/p7LhBcVa+u5vgFgnrD7m7CW5hNdnc3QQhKl3TOxu5uwluse+beHc3wS26vlzL3U1wi9DA6/P7PPGUu1sgxOWTzo4QQgghhBBViCw9XX4yZ0cIIYQQQghRLUlmRwghhBBCiCpEldXYyk0yO0IIIYQQQohqSTI7QgghhBBCVCE2WY2t3KSzI4QQQgghRBUiCxSUnwxjE0IIIYQQQlRLktkRQgghhBCiCpEFCspPMjtCCCGEEEKIakkyO0IIIYQQQlQhqixQUG6S2RFCCCGEEEJUS5LZEUIIIYQQogqxyZydcpPMjhBCCCGEEKJaksyOEEIIIYQQVYjcZ6f8JLMjhBBCCCGEqJaksyOEEEIIIUQVoqqV97hUH330EbGxsXh6etKxY0c2b95cZt2ZM2fSvXt3goKCCAoKol+/fhesXxGuuc7O7NmzCQwMdHczhBBCCCGEuCbZUCrtcSnmzZvH5MmTef7559m+fTstW7Zk4MCBpKamuqy/atUqxowZw8qVK9mwYQMxMTEMGDCAU6dOVcTb4tIlzdmZMGECc+bM4d577+XTTz91eu6BBx7g448/Zvz48cyePbsi23hJVq1aRe/evcnKyqr2nSbfnoPwHzAcrX8gppPHyZr3Babjh8us79dnKL49BqINDsWWn0fhvxvI/vlbsJjt++sxEN8eA9GFhANgTk4kZ8mPFO/996rEU15hw0cSedtYPIKDKTxymMT33qbgwD6XdRWtlsg7xhMy8Ab0oWEUJyZw8rOPyd280VEncuw4gnr0xLNWbWxGI/l7dnPys48xJiZcrZDKJWLkLdQYOxaP4BAKDx/i+NtvUbCv7Lijxk8g9IbB6MPCKEpIIPHjD8nZWBJ3+Iibibj5Zgw1ogAoPHqUU7O+JGfjhqsST3lJ3NdX3H59BhMwaATagCBMicfI+O5zTMcOlVnfv/+N+PUehC44DFt+LgVb15M1/2vUM99r5woYPJLgW8aT8+cvZP7wRWWGUWmCu7Wj7mOTCGgTh2dUOFtH3k/KLyvc3azLpm/dA8+OfVF8/LGmnqLor5+wJp9wWdd3zMPoajUoVW4+soeC+Z+WKvcacBuG1t0oWjEf49ZVFd30K7Lxr+9Yu3QW+TnpRMY0Zugdz1CzXguXdVNOHmLFzx+QdHwv2elJDL79KboMHO9U583H+pKdnlRq2459xzBs3LRKiaEs/dpoaddIi5ceTqSoLF5vISP3wumCTk00dG+uw9cLTmeq/LrBwsn0km10WhjcQUeLuhq0Wjh00sYv6y3kF5fel5cBHhqhJ8BH4cVvjBSb7OXNamvo0ERLVLCCVgup2Sortls4dEqWNbsSb7/9Nvfccw8TJ04E4NNPP2XJkiXMmjWLp556qlT97777zunnL774ggULFrBixQrGjRtXKW285MxOTEwMc+fOpaioyFFWXFzM999/T61ata6oMWZz6T9OwjXvtl0JumUiOb/9SPKrj2M+eZzw/01D4xfgun777gSOuIOcJT+SPP0hMr/5CO+2XQkcPtZRx5qVQfaibzk94wlOz3iC4vjdhN33FB41Yq5WWBcV1LsvMQ88RNKcL9l3zwSKjhyiwZvvoAsMclk/6u57CRs2nMT33mbP+NtJ++Vn6r/8Gl4NGjrq+LVsTerPC9h/3z0cfOxhFJ2Ohm++i8bT82qFdVHBfftR66GHOfnll+yZMJ7CQ4dp/M576IJcx13z3v8SPnw4x99+i12330bqzwtp+NrreDcsiduUlkrCxx+ze8J49kwcT+62rTR84//wqlPnaoV1URL39RW3T/tuhIyeRPYvc0ma/iimxONETp5e5veaT8ceBN0yjuzFczn1zAOkf/UBPh26ETTyzlJ19bH18es5CGPiscoOo1JpfbzJ3RXPnoemu7spV8yjcRu8+oygeN1S8ma/jjX1FD6jHkDx9nVZv+DnmeR8ONXxyP3yZVSbFfOB0hfkPBq0QBcViy0vu5KjuHS7N/3O0h9ep/dND3D/9AVExjRi9pv3kJ+b4bK+2VRMcFgMA26djG9AqMs69z3/E1PeW+14THjySwCatR9UaXG40qOFls5NtSxeZ+GTX8yYLCoTB3qg05a9TfM6GgZ31LHiXwsfLTaTnKkycZAHPuf8CR7SUUfjWhq+/9vMzCVm/H0UxvbzcLm/kd11nM60lSqPjVQ4fMrG7D/MfLTYzNEkG3f296BGSNWc6F+Zw9iMRiO5ublOD6PRWKoNJpOJbdu20a9fP0eZRqOhX79+bNhQvgtphYWFmM1mgoODK+y9Od8ld3batGlDTEwMCxcudJQtXLiQWrVq0bp1a0fZsmXL6NatG4GBgYSEhDB06FCOHDnieP748eMoisK8efPo2bMnnp6epXp7AGlpabRr144RI0ZgNBqx2WzMmDGDOnXq4OXlRcuWLZk/f75jn7179wYgKCgIRVGYMGECADabjTfeeIP69etjMBioVasWr7zyiuN1pkyZQsOGDfH29qZu3bo899xzTp2vF154gVatWvHZZ58RExODt7c3o0aNIicn51Lfwgrh128Y+ev+pGDD31iST5L5/WfYzEZ8u/RxWd9QrxHGIwco3LIGa0Yaxft3UrhlLfrYkqtkRbu3UrxnO5bUZCypyeQs/h6bsRh9nYYu9+kOEaPGkP7bL2QsXULxieOceOsNbMVGQgcPdVk/ZMAgkr+dQ86mDZiSk0hb/DM5G9cTOWqMo86hJx8lY9nvFB8/RtGRwxyf8TKGyBp4N2x8tcK6qBpjxpD6y2LSl/xG0fFjHHvjNWzGYsKGDnNZP3TQDSTNmUPOhvUYk5JI/Xkh2es3UGPM7Y462WvX2p8/mUhxYiInP/sUW1EhvnFxVyusi5K4r6+4/QfeRN7qP8hfuwJzUiIZX3+MajLi172fy/qe9ZtgPLSfgk2rsWSkUrR3BwWb1mCo6/ydpRg8Cf/PY6TP+RBbQf7VCKXSpC1fzcHn3yVl8V/ubsoVM7Tvg2nneky7N2LLOE3R8rlgNqFv3tllfbW4ELUgz/HwiG0MZhOmeOfOjuIbgFf/Wyn4bTbYrFchkkuzbtkc2vW8lbY9biY8uj43TngBD70n21YvdFm/Zt3mDLrtCVp0GoLOQ++yjo9/MH6BYY5H/I5VBIfXok7j9pUZSildmmlZucPK/gQbp7NUfvrHgp83NK1d9ulmtzgtW+JtbD9kIzVbZfE6CyYLtG1o7yEZPKBtQw2/b7JwNFklKUNlwWoLtSM0xIQ5d1Q6NtbgqVdYs7v0cV+yycqa3VZOpatk5Kr8sc1KRq5Kk5hrbkaH282YMYOAgACnx4wZM0rVS09Px2q1EhER4VQeERHB6dOny/VaU6ZMISoqyqnDVNEu6wjfddddfPXVV46fZ82a5UhfnVVQUMDkyZPZunUrK1asQKPRMGLECGw25972U089xcMPP8z+/fsZOHCg03OJiYl0796duLg45s+fj8FgYMaMGXz99dd8+umn7N27l0cffZQ77riDf/75h5iYGBYsWABAfHw8ycnJvPfeewBMnTqV1157jeeee459+/bx/fffOx0cPz8/Zs+ezb59+3jvvfeYOXMm77zzjlN7Dh8+zI8//sivv/7KsmXL+Pfff7n//vsv5y28Mlod+lr1KN6/q6RMVSnevwt93UYuNzEeiUdfqx762Pr2XYRG4BXXhuI9212/hqLBu11XNHpPjMfiKzqCy6LodPg0bETuti0lhapK7rYt+DRzfcKm8dCjmkxOZTajEd/mLct8Ha2v/aqiJS/3yhtdARSdDp9Gjcndcs4EPlUlZ8sW/OKau95Gr8dmcr4KYzMW49eyjLg1GoL79Ufj6UX+7j0V1fQrInFfX3Gj1WGoXZ+ifTtKylSVon07MdRzfeGh+PB+9LH10NexX7TRhUXg1bwthbu2OdULueO/FO7aSvG+nZXVenGpNFq0kTFYTpz790XFcjweXXT5so36Fl0w7d8O5nO/4xW8h46jeNMKbOnlO9m6miwWE0nH91KvWUmHTqPRUK9ZZxIP76iw19i5/lfa9LgZRbl6WYsgP/D3VjiSVHKeZzTDyTSVWuGu26HVQFSowuFztlGBI0k2xzbRoQo6rXOdtByVrHyVWuElp7HhgQq9W+v46R9zuSbZK4DBQ6HQWDWHsamqUmmPqVOnkpOT4/SYOnVqhcfw2muvMXfuXH7++Wc8K3E0zWXdZ+eOO+5g6tSpnDhhH1e7bt065s6dy6pVqxx1Ro4c6bTNrFmzCAsLY9++fcSdcyXxkUce4eabby71GvHx8fTv358RI0bw7rvvoigKRqORV199lb/++ovOne1fFHXr1mXt2rV89tln9OzZ05EGCw8Pd8zZycvL47333uPDDz9k/Hj7ONd69erRrVs3x+s9++yzjv/Hxsby+OOPM3fuXJ588klHeXFxMV9//TXR0dEAfPDBBwwZMoS33nqLyMhIl++V0WgslfozWq0YtBfI6V6E1tcPRavFmpvtVG7Ly8YjMtrlNoVb1qDx9SPi8VdAUVC0OvL+WUbusgVO9TyiahHx5AwUDz2qsZi0z17HknzysttakXQBgSg6HeasTKdyS1YmnrVqu9wmZ8smIkbdRt7OfzEmncK/bTsCe/RC0ZTRz1cUYh58hLxdOyk+drSiQ7gsusAzcWc6x23OzMSrdhlxb9pI5G23k/vvDoynTuLfrj1BvXqXiturXj2aff4FGr0ea1ERB5+aQtHxa2OYj8R9fcWt9fN3+b1mzc3Go4br77WCTavR+vkTNfU1QEHR6chduZScJT856vh06I6hdl2SXnysElsvLpXi7Yui0WIryHMqtxXmoguJKGOrEtoatdGGRVG41HlEiKFTf7DZMG1bVZHNrTCFednYbFZ8A0Kcyn0DQkhPrpjfxf3bVlBcmEebbiMqZH/l5edl75zkFzl3HvKLVHy9XHd2vD1Bq1FcbhMWoHHs12JVHXNvnPbrbf+/VgOje+lYttlCTgEE+128vd2aa9F7wO5jpYe8Xe8MBgMGg+Gi9UJDQ9FqtaSkpDiVp6SklHlefNabb77Ja6+9xl9//UWLFq7nq1WUy+rshIWFMWTIEGbPno2qqgwZMoTQUOdxpIcOHWLatGls2rSJ9PR0R0YnISHBqbPTrl27UvsvKiqie/fu3H777bz77ruO8sOHD1NYWEj//v2d6ptMJqchdOfbv38/RqORvn37llln3rx5vP/++xw5coT8/HwsFgv+/v5OdWrVquXo6AB07twZm81GfHx8mQd1xowZTJ/uPLb6kbaNebRdkzLbUhkMDZsRMGgkmT/MxHTsILrwGgSNugtrzq3k/l5yYmBOSeL0K4+heHnj3aYzIeP/R8rbz10zHZ5Llfj+O9R+4inivpkLqoox6RQZS5eUOeyt1qOP41WnLgf+d+9VbmnFOvHO29R56mlazp1nz/qdOkX6kt8IG+ocd/GJE+wefydaH19C+vSh3nPT2H//fdfMCfClkrivr7g9G8URMORW0r/5FOPRg3hE1CBkzD1Yh40m+9d5aINCCRlzD8lvTXO5YIGouvQtOmNNPeW0mIE2IgZD217kzXndjS1zv22rF9CgRXf8g8Ir9XVa1tMwvGvJaeTXf7jvd2xgey1pOSo7jpSv49Kyroa+rbV885eZAheLHFQFtmsgIaXX62nbti0rVqxg+PDhgH3ayIoVK3jwwQfL3O6NN97glVdeYfny5S77ARXtsjo7YB/KdjaQjz76qNTzw4YNo3bt2sycOZOoqChsNhtxcXGYzhtS5OPjU2pbg8FAv379+O2333jiiSccHYz8fPtY6yVLljh1Os5uUxYvL68LxrJhwwbGjh3L9OnTGThwIAEBAcydO5e33nrrgtuVx9SpU5k8ebJTWcpjpSfPXgprfh6q1YrWP9CpXOMXWOqq6FkBw8ZQsOkfCtbZx3mbkxJQ9AaC77iP3KXzSxZWt1qwpNlT/zkJRzHUro9f76FkfV96pZurzZKTjWqx4BHkPIlNFxSMOdP1xE5LTjZHnn0KRa9H5x+AOT2N6Hvvx5hUeonDWg8/RmDnrhz4332Y09IqJYbLYck+E/d5k/c8goMxZ2SWuc2hp560xx0QgDktjZj7H6D4lPNqParFgvGkvSNbGH8AnyZNiBg9muOvv1Y5wVwCifv6itual+vye03rH4g1J9vlNkEjxpK/fiX5a/4EwHzqBIrek9DxD5D9248YYuuhDQgk+vmSIcmKVotnw2b49xnC8f+MBFWu6rqDWpiParOi8fHj3NkVGm9/1IKLDCH20KNv0paiNUucinUx9VB8fPG/70VHmaLR4tn7ZgztepP76fMVGMHl8fYLRKPRkp/j/DcrPyejzMUHLkVW+imO7N3A7Q+9f8X7upj9CTYSU0vO6XRae/bG10sh75xMja+XQrKLBQMACovBajub+XHe5uw+8opUdFoFTz1O2R1fL4X8Qvv/69bQEBmk8NJE+5yms3mkZ8bqWbXDyop/Sz5lLepqGNFdxw9/WziSdA30GKq4yZMnM378eNq1a0eHDh149913KSgocExvGTduHNHR0Y45P6+//jrTpk3j+++/JzY21jG3x9fXF19f14uTXKnL7uwMGjQIk8mEoiil5tpkZGQQHx/vuHEQwNq1a8u9b41GwzfffMPtt99O7969WbVqFVFRUTRt2hSDwUBCQgI9e/Z0ua1eb/+gW60lH+wGDRrg5eXFihUruPvuu0tts379emrXrs0zzzzjKDs7RO9cCQkJJCUlERVlX7p148aNaDQaGjVyPU8GXKcCs69gCBsAVgumhCN4Nm5B0c4z4/oVBc/GLchf9bvLTTR6Q+k7RTnmTzl/yThRNCgel/0xqVCqxULBwXj82rYje+1qe6Gi4N+mHak/z7/wtiYT5vQ0FK2WoB69yVrlvFRrrYcfI7B7T+Ifvh/T6eTKCuGyqBYLBfEH8G/XnqzVJXEHtGvP6fk/XXhbkwlzmj3u4N69yVhxkSVqFQ0aD9cr3FxtEvf1FTdWC8YTh/Fs0pLCfzfZyxQFryYtyP17ictNFFffa2rJ91rR/l2cfM756mLYXQ9jTj5J9tIF0tFxJ5sV6+lEdLUbYT50dv6pgi62IcZtqy+4qb5Ra9DqMO/d4lRu2rMF83HnOaa+ox7AtHczpt0buRbodHqiYptxdN9Gmra1T8i22Wwc3beRjv3GXmTri9u+5md8/INp2NL1OVJFMpkh0ymZo5JbqFIvSkNypv0czOABNcMUNh1wfY5htUFSukr9Ghr2n7D/PipAvSgNG/bZ93EqXcVite9373F7ndAAhSBfhYRU+8/frzDjoSsZKhcdqnBLDw8+X2Im85xlr1vU1TCyu465Ky3EJ1bt3//LuflnZRg9ejRpaWlMmzaN06dP06pVK5YtW+aYF5+QkIDmnCHVn3zyCSaTiVtuucVpP88//zwvvPBCpbTxss9itVot+/fvd/z/XEFBQYSEhPD5559To0YNEhISXK61fbH9f/fdd4wZM4Y+ffqwatUqIiMjefzxx3n00Uex2Wx069aNnJwc1q1bh7+/P+PHj6d27dooisJvv/3G4MGD8fLywtfXlylTpvDkk0+i1+vp2rUraWlp7N27l0mTJtGgQQMSEhKYO3cu7du3Z8mSJfz888+l2uTp6cn48eN58803yc3N5aGHHmLUqFEXHZdYGfL++pWQCf/DdOIwxuOH8OszDI3eQP76vwEImfAQluwMchbZxzMX7d6KX99hmBKPYjx2CI/wGgTcOIaiXVsdf/ADho+leM+/WLLS0Bi88O7QHUPDZuR+8NJVj68sKT/+QJ2pz1F44AAFB/YSccttaLw8SV/6GwCxT0/DnJbGqZmfAODTpCkeoWEUHj6EPiyMqAl3o2gUTv/wrWOftR59nOC+Azj8zBSsRYXozlxRt+YXoJpKL7XoDsk//EC956ZRcGA/+Xv3EXnbbWg8PUn7zR533WnPY05LI/GTjwHwadoMfVgYhYcOog8LJ/ruu0HRkPztN459xtx3P9kb1mM8nYLWx5vQAQPxb9OGA4887JYYXZG4r6+4c5cvJvTuRzAdP4zx2EH8+9+IYvAkb6290xZ69yNYszLJWvA1AIU7txAw4CZMCUcxHj0zPHf4WAp3bgbVhlpchPmU8/2ybMZirAV5pcqrCq2PNz71S27z4F2nJv4tG2PKzKE48dq6UHMxxi1/4z3kTiynE7AmH8fQrjd4GBwdE+8hd2LLy6F49S9O2+lbdMZ8aBdqcYFTuVpcUKoMmxW1IBdbpusbHLpD10HjWTBzKlF14qhZtznrl3+NyVhE2+72OTbzP5uCf1AEA0bZR4VYLCbSTtlXs7VazORmpZJ8Yj96T29CIkrm8dlsNravWUjrbsPRat1zkXL9Xiu9W2lJz1XJylPp31ZLXiHsO1HSsZh0gwd7j1vZuN9etnaPlVt66DiZruFkmkrXOC16HWw/aO/sGM2w7aCNwR11FBnNFJtgWGcdJ1JsJKbZz/gz8+Dci7beZ64xp2WXzPVpWVfDLT11/LbRQmKaDd8zg37MFvtrVDXqJd78szI9+OCDZQ5bO3c+P9hXTr7arui34fw5LWdpNBrmzp3LQw89RFxcHI0aNeL999+nV69el9Y4nY4ffviB0aNHOzo8L730EmFhYcyYMYOjR48SGBhImzZtePrppwGIjo5m+vTpPPXUU0ycOJFx48Yxe/ZsnnvuOXQ6HdOmTSMpKYkaNWrw3//+F4Abb7yRRx99lAcffBCj0ciQIUN47rnnSvUw69evz80338zgwYPJzMxk6NChfPzxx5f8vlWEwm3r0Pj5EzBszJmbih4j9YOXsOXZl8LWBoeinnPVMuf3n1BVlYAbb0cbGIwtP5eiXVvJXlwyuVPrF0DIxIfQ+gdhKyrEfOo4aR+8RPH+a2cFo6yVK9AFBhF1192Omy0eeuJRLFlZABjCI87JWNmv/EbffS+GGlFYi4rI2bSBY69Mx5pfsvxs+HD7YhqN33c+lsdmvETGMteZsqstc8VfeAQFUvPu/+AREkLhoYMcePQRLGcWazBEOMetMeiJufe/GKLscWdvWM+R6S84xa0LCqLetOfxCAnFmp9P4ZHDHHjkYedVwNxM4r6+4i7YshaNXwBBw29HGxCEMfEoKe+8gO3M8FxdcJjTQPXsX+1zlIJG3IE2KBhbXi6FOzeTteDbMl6h6gtoG0fnFSWd2KZv2v/2JX69kF2TKn61pMpkPrCdIm9fvLoNQfHxw5p6ioIfP0IttC9aoPEPLnX5WhMcji6mPvnzPnRHkytE846DKcjNYsXC98nPSadGrSaMf/xzxzC27Mxkp8VF8rLS+GhayUJOa5fOYu3SWcQ2bs/dU792lB/Zu4GcjGTa9ii96NPVsnqXFb0ORnTV4XnmpqJfLTdjOWesYrCfgo9nyYn67mM2fDwt9Gurw88LkjPs25x7w9Almyyoqo7b+3qg08ChUzYWr7dcUtvaN9ai1Sjc1MWDm7qUlG87aGXBmkvbl6haFFW9VhJh17YXXniBRYsWsWPHjiveV8J/3fdF5E6p+6vWVceKYjVV7VS5EOUR3uTiK2hVR/u+uTaW5r/aur7c/+KVqqE/e1b+XJhr0b97q2DqowK8OuniK5K5y/xNlXducUvH6nXvoeoVjRBCCCGEEEKccW3MPBdCCCGEEEKUi4zLKj/J7JTTCy+8UCFD2IQQQgghhBBXh2R2hBBCCCGEqEIks1N+ktkRQgghhBBCVEuS2RFCCCGEEKIKsanXzn12rnXS2RFCCCGEEKIKkWFs5SfD2IQQQgghhBDVkmR2hBBCCCGEqEIks1N+ktkRQgghhBBCVEuS2RFCCCGEEKIKsUlmp9wksyOEEEIIIYSoliSzI4QQQgghRBWiytLT5SaZHSGEEEIIIUS1JJkdIYQQQgghqhBZja38pLMjhBBCCCFEFSILFJSfDGMTQgghhBBCVEuS2RFCCCGEEKIKkWFs5SedHTdIi09xdxPcotn0h9zdBPdQbe5ugRCVzrRts7ub4BZdX67l7ia4xbpn/3R3E9zivUFr3N0Et2jdt7W7m+AmBnc3QFQA6ewIIYQQQghRhUhmp/xkzo4QQgghhBCiWpLMjhBCCCGEEFWIrMZWfpLZEUIIIYQQQlRLktkRQgghhBCiCpE5O+UnnR0hhBBCCCGqEJss9FpuMoxNCCGEEEIIUS1JZkcIIYQQQogqRIaxlZ9kdoQQQgghhBDVkmR2hBBCCCGEqEIks1N+ktkRQgghhBBCVEuS2RFCCCGEEKIKkZuKlp9kdoQQQgghhBDVkmR2hBBCCCGEqELUSp20o1Tivq8+6ewIIYQQQghRhcgCBeUnw9iEEEIIIYQQ1VK1zeyoqkr//v3RarUsX77c6bmPP/6Yp59+mj179lCzZk03tfDKhQ2/mYjRt+MRHEzRkcMkvP8OhQf2u66s1VJj7DhCBtyAR1goxYkJnPrsE3K3bHJU8W3RkojRt+PdsDH60FAOP/sUOevWXKVoym/uys3M+XMdGTn5NKwZyZTbbqB5HdfHcfH6f3l+zmKnMr1Oy+aPnnMqO5qcxnsL/2TbwRNYbDbq1gjjrf+OokZwYGWFccnmrtrCnD/Wk5GbT8OaEUwZfQPN60S7rLt4/Q6e//oXpzK9TsvmD59xKjuanMZ7P69wjvveW6kRHFBpcVwqifv6ilvfqhuG9n1QfPyxpp2ieMUCrKcTXNb1Gf0gupgGpcrNR/dSuPBzAAxdBuHRqA0a/0CwWrGmJFK8ZgnW0ycqM4xLpm/dA8+Ofe1xp56i6K+fsCa7bqPvmIfR1XIR95E9FMz/tFS514DbMLTuRtGK+Ri3rqropl8Vwd3aUfexSQS0icMzKpytI+8n5ZcV7m7WFZs0NpZhAyLx89Gxe38ub358iJPJRWXWv+OWGHp2CaV2tDdGk43dB3L5ZPZREk+53ubNF5rTqW0wU1/Zw5qNGZUVxgUN7mSgS3MPvAwKx5KszPu7mLRs2wW36d7Cg77tDPh7K5xKtzF/ZREnUlxvc99wb5rG6pj5ayG7jlicnuvY1IPerfWEB2koNqn8e8jCTyuLKyw2d7Jd+C0U56i2nR1FUfjqq69o3rw5n332Gffeey8Ax44d48knn+STTz6p8I6O2WzGw8OjQvdZlqDefal53/9IeOf/KNi/j/BbRtHgjbfZO24MluzsUvWjJ/2H4H4DOfHW6xQnnMC/fQfqvTSDAw/eS9HhQwBoPL0oOnKYjKVLqPfSjKsSx6VavmUPb81fzjO3D6V5nWi+W7GR+9//lsXTHyTY39flNr6eBha9+KDjZ0VxHouamJbJxP+bxfCurblvWG98vAwcSUrFoLt2fj2Wb93LW/P/4Jnbh9A8Nprv/t7E/R98x+IXHiDY38flNr6eBhZNf8Dx83lh2+N+czbDu7TivqE9z8SdJnFfA67XuD0atcaz1wiK/voRa/JxDG164XPLfeTNegW1ML9U/cLFs0CjdfysePngO/5JzPE7HGW2zDSKVszHlpOBovPA0LYXPrfeR94XL6EWFVyNsC7Ko3EbvPqMoOiPeViSjmNo1xufUQ+QN/NFl3EX/DwTtM5x+02civnAv6X33aAFuqhYbHnZlRlCpdP6eJO7K57E2QtoN/8jdzenQowdGcMtQ6N55d0DJKcUc/fYWN5+sTl33L8Fk9n1GKXWcYEsXJLEgUN5aDUK/xlXh3debMEd92+h2Oh89jvqpuhKntdxcf3a6enZWs+3y4vIyLUxpLOB+0d488rX+Visrrdp01DHiB6ezPu7mBOnrfRqref+ET68NCef/CLneHq31pcZY+/Wevq01bNojX0/eg+FYH8Z0HQ9qtZHPSYmhvfee4/HH3+cY8eOoaoqkyZNYsCAAbRu3ZobbrgBX19fIiIiuPPOO0lPT3dsu2zZMrp160ZgYCAhISEMHTqUI0eOOJ4/fvw4iqIwb948evbsiaenJ999991Viy3i1tGkL/mVjGW/U3ziOAlv/x+2YiMhNwx1WT+4/yBOf/81uZs2YEpOIv2XReRs2kDEqDGOOrmbN5I0aybZa1dfrTAu2Td/beDmbm0Y3rU19aLCeXbsUDz1HixaX/qPvIMCoQF+jkfIeZ2iDxetoFtcAx4dOYDGtWoQExZMr5aNy+w8ucM3f23g5q5tGN6lFfWiwnj29iF4epQnbl/Ho1Tci1fSLa4+j47sf07cjco8mXYHifv6ilvfrhem3esx79mELSOFoj9/RDWb0Md1cllfLS5ELcxzPHS1G4HZjPngDkcd84FtWBMOouZkYMs4TdGqn1EMXmjCXGfJ3MHQvg+mnesx7d5ob+PyuWA2oW/e2WV9tbgQtSDP8fCIbQxmE6Z458+H4huAV/9bKfhtNtjKOLOsItKWr+bg8++Ssvgvdzelwtx6YzRf/3iCtZsyOHK8gJffOUBIsIHunULL3OaxF3azdEUKxxIKOXy8gFffjScy3JNG9f2c6tWv48Ntw2OY8V58ZYdxQb1a61m+ycjuoxaS0m18s7yIAB+FFvXKvsjSu42BDXvMbNpn5nSmjXkrijFZVDo3c76YHB2moXcbPd/9WTpT42WAoV0MfLO8iG3xFtJzVJLSbew5ailVt6pS1cp7VDfXziW9SjJ+/Hh+/vln7rrrLm6++Wb27NnD3r17adasGXfffTfvvPMORUVFTJkyhVGjRvH3338DUFBQwOTJk2nRogX5+flMmzaNESNGsGPHDjSakj7iU089xVtvvUXr1q3x9PS8KjEpOh3eDRuR/N03JYWqSt72rfg2iyPFxTYaDw9sJpNTmc1oxLd5i8ptbAUyWyzsT0jirhu6Oco0Gg0dG9dl19GTZW5XZDRxw9R3sKkqTWrV4MHhfakfFQ6AzWZjze5DTBjYlfve+4YDiclEhwRx1w3d6NOqSaXHVB5mi5X9CcncNejcuBU6Nqlz8biffs8ed0wkDw7vc07cqj3uAV247/1vOZB4muiQQO4a1I0+rRpXekzlIXFfX3Gj0aKNiMG46dyTWRVLwkG0UbHl2oW+eSfMB7aD2eS6gkaLvkUX1OJCbGmnrrjJFUKjRRsZg3HjH+cUqliOx6OLroOxHLvQt+iCaf/5cSt4Dx1H8aYV2NJPV3CjxZWKivAkNNjAlh1ZjrKCQiv7DuYS19ifFWvSyrUfHx97hi83z+woMxg0PP94E97+9BCZ2eayNq10If4KAT4a4hNLOhjFJjh+2kqdGlq2Hyzd8dBqICZcw59bSj75KhCfYCG2Rkk200MH4wd58dPKYvIKS5+dN66lQ1Eg0FfDM+M8MXgoHEu28vPqYrLzq+HZvLigap3ZOevzzz9nz549PPLII3z++ed89tlntG7dmldffZXGjRvTunVrZs2axcqVKzl48CAAI0eO5Oabb6Z+/fq0atWKWbNmsXv3bvbt2+e070ceeYSbb76ZOnXqUKNGjasSjy4gEEWrw5KV6VRuzsrEIzjY5Ta5WzcRcettGKJrgqLg17Y9Qd174hEccjWaXCGy8gux2lRC/JyvWIf4+5CeU3qoB0BsRCgvjLuJd+6/jVfuuhmbTWXC61+SkpUDQGZeAYVGE7OWraVLs/p88vCd9GndmMc+ncfWg8crO6RyccR93hX4ED8f0nPLiDsyhBfG3cg7943mlYnDsakqE974ipSsXOCcuJevo0vT+nzy0B30adWYxz77UeJ2s+s1bsXLB0WjRS3IcypXC/JQfPzK2KqENrIW2rAoTLs3lHpOV7cZ/g+9gf+jb2Jo24uC+Z9cM0PYFG9fFI0W23lx2wpzUXz8L7q9tkZte9y71juVGzr1B5sN07ZVFdlcUUGCg/QAZJ3XGcnKNjmeuxhFgYfuqc+ufTkcSyh0lD90dz32HMhl7Sb3zNE5y9/HfoqZV+DcucgrVB3Pnc/HS0GrUcgtvPA2N/f05Fiyld1lZGpCAzQoCgxor2fBP8XMWlKEj6fCgzd7o60mZ742tfIe1U21z+wAhIeHc++997Jo0SKGDx/Od999x8qVK/H1LT1M6ciRIzRs2JBDhw4xbdo0Nm3aRHp6OrYzM8ESEhKIi4tz1G/Xrt0FX9toNGI0Ol+bM9ls6DVX97ct8YP3qP34FJrN+R5QMZ5KIn3ZEkLLGPZWXbSsF0PLejFOP9/8/IfMX72NB27qg+1MvrZXy0bc2c8+ZKRxTA12Hklk/uqttGsY645mX7GWdWNoWfe8uF/4mPlrtvHAjb3Pi9s+RKhxTCQ7j55k/uptEncVc73GfS6P5p2wpiW5XMzAkniI/K/fQPHyQd+iC97DJpD/3dsu58NUNfoWnbGmnnJazEAbEYOhbS/y5rzuxpaJc/XvGc4TDzR0/Pzki7uveJ+T/9uAurV8uH9KyfDFrh1CaNMikLse3nbF+79U7RrpuK2vl+PnTxcXXqD25Yurq6NhTS2vf1/2BQtFAZ1WYf6qYg4k2Idwzl5axCv3+NIgRsuBE1V7WKe4NNdFZwdAp9OhOzMRNz8/n2HDhvH666X/EJzNzgwbNozatWszc+ZMoqKisNlsxMXFYTpvKJiPz4XHu8+YMYPp06c7ld1Tuyb31ql12bFYcrJRrRZ0Qc5ZHI+gYMyZmWVuc+S5qSgeenQB/pjT04n+z30Yk5Muux1XW5CvN1qNQkae8wlKRm4BoQHlm1/jodXSKKYGiWmZjn3qNBrq1QhzqlcnMox/j7heAepqc8Sd6/zFnpFXQGg55xXZ444kMfX8uJ3HhteJDOXfwxK3O12vcatFBag2a6ksjuLjVyrbU4qHHn3jNhSvW+r6ebMJW3Y6ZKdTlHwC30nPoo/rhHGz++d/qIX5qDYrGh8/zj390nj7oxbkXnhjDz36Jm0pWrPEqVgXUw/Fxxf/+150lCkaLZ69b8bQrje5nz5fgRGI8li7OYN9B7c6ftZ72C94BgV6kJFVcl4RFKjn8NGLd8Ifvbc+XdoH8+DUnaRllGzftkUg0ZFeLJ3bzan+y081Y9e+HP739M4rDaVMu49aOH66pO06rX2VFD8f50yNn7fCqTTXnY2CIhWrTcXf23mFFT9vhdwC+0XnhjFaQgM1vHGf83fFpCFeHEmy8v78QnLOZJNOZ5Ys2pBfpJJfpBLspwGqfmenOs6tqSzXTWfnXG3atGHBggXExsY6OkDnysjIID4+npkzZ9K9e3cA1q5de1mvNXXqVCZPnuxUtnfYwMva11mqxULhwXj827QrWRpaUfBr05bUnxdceFuzCXN6Omi1BPboRdaqv6+oLVeTh05Hk1pRbN5/zDGfxmazsfnAUW7r3aFc+7DabBw+lUK3uAaOfTaNjeJ4inO6/0RqxjWzHK+HTkuTWjXYfOCYY36Fzaay+cAxbuvVvlz7sMedSre4+o59uow7JYMaIYEV2v7LJXFfX3Fjsy8LravVEMvhs1e9FXS1GmL698JL4Hs0bAVaHeZ9W8r3WooC18oqdDYr1tOJ6Go3wnxo15lCBV1sQ4zbLrxYjL5Ra3vce53jNu3Zgvm488R031EPYNq7GdPujRXZelFORUVWThU5n2CnZxpp1zKIw8fsFza8vbQ0bejPot8vfBHy0Xvr06NzKP+bupPkFOfJ+d/OT+DXP5Kdyr75qD0ffHmEdZsrd1ib0QzGnHPPwFVyCmw0itFxKs3eIfPUQ2yklrW7XM+rs9ogMdVGwxidYxlpBWgYo2PNTvs2f24xsWGP8/C/p+/0ZeFqI3uO2suPJtnf6/AgDdn59v97G8DXSyEzt3qs2axW6ngz5eJVqpBr5Nv+6nrggQeYOXMmY8aM4cknnyQ4OJjDhw8zd+5cvvjiC4KCgggJCeHzzz+nRo0aJCQk8NRTT13WaxkMBgwGg1NZRQxhS/lpHrFPPUPBwQMUnll6WuPpScYy+xW+2KnPYkpLJ+kL+z0XvJs0RR8aRuHhQ+hDw6gx4S4URSHlh5IV5DSeXvY5PWfbXiMKr3oNsOTlYk51tezB1Xdnv848N/tnmsZGERdrX3q6yGTmpi6tAXj2q4WEB/rz0Ih+AHz22yqa161JrbBg8oqKmfPHepIzcxjRrY1jnxMGdOXJmT/RpkFt2jeKZf3ew6zeFc8Xj01wR4gu2eNeRNPaUcTFRvHd35vOxN0KgGe/WkR4oB8PjegLwGdL/qF5HRdxdz0n7v5dePKL+bSpf07cuw/yxeTx7gjRJYn7+orbtHUVXjeMxZqSgDU5AX3bnigeekx77PcD87phLLb8HIxrfnPaTt+8E+bDu1GLzxs246HH0HEAliO7sRXkonj5YGjVHY1vgNPy1O5m3PI33kPuxHI6wb7kdrve4GFwdEy8h9yJLS+H4tXn3UupRWfMh3ahFjtnAdXiglJl2KyoBbnYMlMrNZbKovXxxqd+yYgI7zo18W/ZGFNmDsWJyRfY8tr10y+nGD+6FolJRfalp++IJSPTyJqNJSvDvvtyC1ZvSGfhEnsH6LH76tOvRwRTX9lDYZGF4ED7CmX5hVZMJhuZ2WaXixKkpBWX6hhdDav+NTGwg4HUbBsZOTaGdjGQU6A63Q/nwZu92XXEzOqd9nav3G7kjgFeJKRY7UtPt9Fj8FDYuM/+fF6h6nJRgqw8Gxm59vK0bBu7jpgZ2dOTuSuKKTapDOtqICXLxsGTVT+rIy7NddnZiYqKYt26dUyZMoUBAwZgNBqpXbs2gwYNQqPRoCgKc+fO5aGHHiIuLo5GjRrx/vvv06tXL3c33SFr5Qp0AYFETbj7zE1FD3FoymNYsuwru+jDI5x6/Rq9nqi77sEQFYWtqIicTRs4/upLWAtKUs7ejRrT6N0PHT/HPPAQAOnLfufE669cpcgubGD7OLLyC/jkl5Wk5+bTqGYkHz90h2OZ3eTMHKf76OQWFvPSN7+SnpuPv7cnTWpFMefJSdQ7s0oVQJ/WTXh27FC+XLaWN+YtpXZECG/eO5rW9Wtf9fjKMrBdM7LyCvjk11Vn4o7g4//dXnbcBcW89O1v58RdgzlPTKReVMlwvT6tG/Ps7UP4ctk63vhxmT3u/4yidf3LH2JZ0STu6ytuc/y/KN6+eHYdjOLtjzXtJAXzP0UttA9j0/gHlRq7oQkKR1ezHgU/fVx6hzYb2uBw9M3uQvHyRS0uwHo6gYK572PLuHZWKDMf2E6Rty9e3Yag+PhhTT1FwY8fnRN3cOm4g8PRxdQnf96HrnZZ7QS0jaPzipIVSJu++TQAiV8vZNekqe5q1hX5bkEinp5annywIb4+Onbvy+Gx53c73WMnOtKLQP+SJZdHDLYvmf7hjFZO+3rl3QMsXXFtXJQ8119bTeh1CmP6euJlUDiaZOXjnwud7rETGqjBx6vkIvD2gxZ8vYoZ0tlgH/KWbuPjRYUuOzgX8s3yIm7u4cl/b/JGVVUOn7K/dnW5GWd1XEigsiiqu+84dR3a1ruru5vgFk2ff/DilaojtZp8swpxAaZtm93dBLdQrdfnVeJ1z/7p7ia4xYxBn7u7CW7Rum9rdzfBLT545OIrIrrLGwsq79ziyZHVZMm6M67LzI4QQgghhBBVlaQqyq96dd2EEEIIIYQQ4gzJ7AghhBBCCFGF2GTSTrlJZkcIIYQQQghRLUlmRwghhBBCiCpE5uyUn3R2hBBCCCGEqEKks1N+MoxNCCGEEEIIUS1JZkcIIYQQQogqxCapnXKTzI4QQgghhBCiWpLMjhBCCCGEEFWIanN3C6oOyewIIYQQQgghqiXJ7AghhBBCCFGFqDJnp9wksyOEEEIIIYSoliSzI4QQQgghRBVikzk75SaZHSGEEEIIIUS1JJ0dIYQQQgghqhBVVSvtcak++ugjYmNj8fT0pGPHjmzevPmC9X/66ScaN26Mp6cnzZs35/fff7/ct6FcpLMjhBBCCCFEFWJTK+9xKebNm8fkyZN5/vnn2b59Oy1btmTgwIGkpqa6rL9+/XrGjBnDpEmT+Pfffxk+fDjDhw9nz549FfCuuCadHSGEEEIIIcQle/vtt7nnnnuYOHEiTZs25dNPP8Xb25tZs2a5rP/ee+8xaNAgnnjiCZo0acJLL71EmzZt+PDDDyutjbJAgRscnbHG3U1wi32m67NvrdNen8tDXq+rYl7qVbHqIi9urLub4BahgdfnLOH3Bl2ff8emLvuPu5vgFjvG7nN3E8R51Gvgj43JZGLbtm1MnTrVUabRaOjXrx8bNmxwuc2GDRuYPHmyU9nAgQNZtGhRpbVTOjtCCCGEEEIIAIxGI0aj0anMYDBgMBicytLT07FarURERDiVR0REcODAAZf7Pn36tMv6p0+froCWu3Z9XmoXQgghhBCiilLVynvMmDGDgIAAp8eMGTPcHfJlk8yOEEIIIYQQAoCpU6eWGmp2flYHIDQ0FK1WS0pKilN5SkoKkZGRLvcdGRl5SfUrgmR2hBBCCCGEqEJsNrXSHgaDAX9/f6eHq86OXq+nbdu2rFix4px22VixYgWdO3d22e7OnTs71Qf4888/y6xfESSzI4QQQgghhLhkkydPZvz48bRr144OHTrw7rvvUlBQwMSJEwEYN24c0dHRjmFwDz/8MD179uStt95iyJAhzJ07l61bt/L5559XWhulsyOEEEIIIUQVcjk3/6wMo0ePJi0tjWnTpnH69GlatWrFsmXLHIsQJCQkoNGUDCTr0qUL33//Pc8++yxPP/00DRo0YNGiRcTFxVVaG6WzI4QQQgghRBWiXkOr3j/44IM8+OCDLp9btWpVqbJbb72VW2+9tZJbVULm7AghhBBCCCGqJcnsCCGEEEIIUYXYrpFhbFWBZHaEEEIIIYQQ1ZJkdoQQQgghhKhCrpUFCqoCyewIIYQQQgghqiXJ7AghhBBCCFGF2GyS2SkvyewIIYQQQgghqiXJ7AghhBBCCFGFyJSd8pPMziVQFIVFixa5uxlCCCGEEOI6ptrUSntUN1UiszNhwgTmzJnDvffey6effur03AMPPMDHH3/M+PHjmT17doW83gsvvMCiRYvYsWNHheyvsmz86zvWLp1Ffk46kTGNGXrHM9Ss18Jl3ZSTh1jx8wckHd9LdnoSg29/ii4DxzvVefOxvmSnJ5XatmPfMQwbN61SYrgcW1d+x4blX5Kfk0ZETGMGjnmO6Dqu4047dYh/fnmf5BN7yck4Rf/RU+nYb0KZ+1639HNWLnyLDn3HMeC2ZyopgsuzecV3rFv2peN43zD2WWrWdR136qlDrFz0PknH95KTkcTA26bSecD4UvVys1L486c3Obx7NWZTMcHhtbjprleJrtO8ssMpt81/f8f6c+O+/VmiLxD3qkXvk3SiJO5O/Z3jXrX4A/755SOnspDIOjz4ytJKi+FybPn77Oc8nYiYxgwac+G4/1l89nOexIDRU+l4Xtz/LP6A1b+Wjvv+l90b984137H17y8pzE0jNLoxvUc+R2Rt13ECHPx3KRt+f4/czFMEhsXSbdjj1GnW0/F8QW46a399k4QDazEW5RFdrx29Rj5HUHjsOXXSWLP4DRLi12MyFhAUXocO/f9Lg1YDKzPUC7pev8/PmjQ2lmEDIvHz0bF7fy5vfnyIk8lFZda/45YYenYJpXa0N0aTjd0Hcvlk9lEST7ne5s0XmtOpbTBTX9nDmo0ZlRVGhQvu1o66j00ioE0cnlHhbB15Pym/rHB3s8qtbX2FTk0UfD0hJRv+2GYjKbPs+o1joGdzDYE+kJkHf++0cSS55PnucQpNayn4e4PVBqczYdUu530G+0HflhpqhoFWA6nZ8M9uGydSKytKca2rMpmdmJgY5s6dS1FRyRdZcXEx33//PbVq1XJjy9xj96bfWfrD6/S+6QHun76AyJhGzH7zHvJzXX+Jm03FBIfFMODWyfgGhLqsc9/zPzHlvdWOx4QnvwSgWftBlRbHpdq75Xf+/HEG3Yc9wN3P/UxEzcb88O4kCsqMu4jA0Jr0ufkxfAPCLrjvpGO72P7PXMJrNqqMpl+RPZt/Z/m81+h14wPc+/xCImIa8e3bd1/weAeFxdDvlrLjLirI4ctXx6DV6hj76EweeHkJA0ZPwcsnoDJDuSR7Nv/OH/Neo+e5cb9z9wWOdzGBYTH0G3nh4x0W1YDH3l7jeNz11PeVFcJl2bv5d/788TV6DHuAe6bZ4/7+3bLjtpw53n3KEfejb61xPCZMcW/c8dt/Z/XPM+g08AFuf+JnwqIa8/MnkyjMcx1n0rHtLP36MZp1uoWxTyyiXvO+/PrlA6QnHQTsS7H++uUD5GYkMuzuj7n9iZ/xC45m4ccTMRsLHftZ/u0UslKPceM9n3DnlF+p36I/v89+hNST+65K3Oe7Xr/Pzxo7MoZbhkbz5seH+M/j/1JUbOXtF5uj91DK3KZ1XCALlyRx7xP/8uhzu9BpFd55sQWehtKnNaNuiq6yy/RqfbzJ3RXPnoemu7spl6xJjEK/1gpr9qh8udxGarbKbb00eBtc148OgRGdNew8qvLFchsHT6nc2k1D2Dl/kjLzYPk2GzOX2vj6Lxs5BSpjztvnqO4aNBr47m8bXy63kZKtMqqHBh/Pyo33arOpaqU9qpsq09lp06YNMTExLFy40FG2cOFCatWqRevWrR1lRqORhx56iPDwcDw9PenWrRtbtmxxPL9q1SoURWHFihW0a9cOb29vunTpQnx8PACzZ89m+vTp7Ny5E0VRUBTFKWOUnp7OiBEj8Pb2pkGDBvzyyy+VH7wL65bNoV3PW2nb42bCo+tz44QX8NB7sm31Qpf1a9ZtzqDbnqBFpyHoPPQu6/j4B+MXGOZ4xO9YRXB4Leo0bl+ZoVySTX9+Revuo2jVdSRhUfUZfMd0PPSe7Fi3wGX9qDot6HfrFJp1GIJW5zpuAFNxAYu+eIIh417G0/vaOdk/a8Py2bTpcSutu48kPLo+Q8fZ4/53jeu4o+s0Z8CoJ2necQhanYfLOmt//4KA4BoMnzSDmnVbEBRWk/px3QgOv3YuHmz840zc3ezHe+idZ+Jee+G44y4QN4BGq8U3IMzx8PYLqqwQLsvGP2fTuvuttDoT95Czn/My4o6q05x+tz5JXIeqFff2VV8R12UUzTqNJCSyPn1HTUen92TvRtdx/vvP18Q27k67vncTHFmPLkMeIbxmU3au+RaA7LTjnD6+gz63vkBk7RYER9Sl760vYDEXE799iWM/ycf+pVWPO4is3YKA0Bg6Drwfg5c/qYl7r0rc57tev8/PuvXGaL7+8QRrN2Vw5HgBL79zgJBgA907ue7IATz2wm6WrkjhWEIhh48X8Oq78USGe9Kovp9Tvfp1fLhteAwz3ouv7DAqRdry1Rx8/l1SFv/l7qZcso6NFXYcUdl1TCU9F37fomKxQMu6rjuxHRopHEmGjQdUMnLhn90qp7OgXYOS+ntPqBxPgewCSM+FP/9V8dQrhAfan/fSQ4i/wvr9NlJzICsfVu5U0esUp06TuL5Umc4OwF133cVXX33l+HnWrFlMnDjRqc6TTz7JggULmDNnDtu3b6d+/foMHDiQzEznvOkzzzzDW2+9xdatW9HpdNx1110AjB49mscee4xmzZqRnJxMcnIyo0ePdmw3ffp0Ro0axa5duxg8eDBjx44tte/KZrGYSDq+l3rNOjvKNBoN9Zp1JvHwjgp7jZ3rf6VNj5tRlLKvrl1NVouJ5BN7qdOki6NM0WiIbdKFU0f+vaJ9L/3+Req36Endpl0uXvkqs1hMJJ3Y69Q2jUZD3aadOXlkx2XvN37H30TFxvHjxw/zxsNd+PSFEWz758cKaHHFsJ6N+7zjfaVxA2SmnOCtyd15b0o/Fn7+ODkZpYf7uIvjc97UOe46TTpz8uiOK9p3ZsoJ3nmsOx881Y+fZ7o3bqvFRGriXmIaOsdZq2EXko+7/n0+fWwHMY06O5XVbtyN5OM7HPsE0HqUXOZVNBq0Oj2njm5zlNWo05qD25dSXJCNarMRv30JFouRmvU7VFR45Xa9fp+fFRXhSWiwgS07shxlBYVW9h3MJa6xf7n34+OjBSA3z+woMxg0PP94E97+9BCZ2eayNhWVQKOBGkFwLMU5S3AsRaVmiOvPYHSIUqr+0dMq0WXU12igdT2FYpNKypmPT5EJ0nNVmscqeGhBUex18otVTl/dU7VKJ3N2yq9KdXbuuOMO1q5dy4kTJzhx4gTr1q3jjjvucDxfUFDAJ598wv/93/9xww030LRpU2bOnImXlxdffvml075eeeUVevbsSdOmTXnqqadYv349xcXFeHl54evri06nIzIyksjISLy8vBzbTZgwgTFjxlC/fn1effVV8vPz2bx581V7DwAK87Kx2az4BoQ4lfsGhJCfk14hr7F/2wqKC/No021EheyvIhTmZ6HarPj4nxe3fwj5uZcf997NSzidsI8+Nz92pU2sFIV59rh9z4vbxz/0io53VloiW1b+QHBEbe6c/AXtet3G0u9fYce6n6+0yRXibNznH+8rjTu6bktuumsGdzz6BUPufJ6s9JN89dodGIvyr7TJFeLs57yij3d03ZbceNcMbn/kCwbf8TzZ6SeZ8/odGIvdE3dRgT1Obz/nOL39QijIcx1nQV463n6hpeoXnvn9D4qoi19QFOt+fYviwhysFhNb/vqc/OzTFOSmObYZPOFdrDYLnz7dkQ8ea86KedMYNulDAsNqV3CUF3e9fp+fFRxkz0xlndcZyco2OZ67GEWBh+6pz659ORxLKBmu+NDd9dhzIJe1m6rOHJ3qwlsPGo1CQbFzeUEx+Hi53sbXk3LVrx8FT4zU8NStGjo2Uvh+lY0iU8nz36+0ERmk8MQtZ+o0Vpi7ykax9HevW1VigYKzwsLCGDJkCLNnz0ZVVYYMGUJoaMkfviNHjmA2m+nataujzMPDgw4dOrB//36nfbVoUTLxs0aNGgCkpqZedP7Pudv5+Pjg7+9PamrZs96MRiNGo9GpzGzywENfxqDVa8S21Qto0KI7/kHh7m5KpcrJTOaPua9w++RZ6Dyu7WNS0VRVJSq2Gf1GTgagRu2mpJ46xNZVc2nV9do7KaooDZr3cPw/IqYRNeu25N0n+7B36zLadL/FjS2rXPXPizu6bkven9KHfVuW0bqaxK3VejB00gf8+cMzfDq1A4pGS62GnYlt0gOVkquVG35/D2NRLjffPxsv3yCO7PqLJbMfYdRD3xEade3N2btS19L3ef+e4TzxQEPHz0++uPuK9zn5vw2oW8uH+6eUZAS7dgihTYtA7np42wW2FFXRiRT4YrkNL4M9a3NzFw1f/Wmj8Myp1qC2GgqK4esVNixWaFVXYVQPDV/9YSO/+ML7rkqqYwamslSpzg7Yh7I9+OCDAHz00UcXqV02D4+Sce1n0/o2m+2Stju77YW2mzFjBtOnO08svGXSNEbd/fylNNeJt18gGo2W/Bznq1X5ORllTla9FFnppziydwO3P/T+Fe+rInn7BqFotKUmaefnZuDrf3lxnz6xl4K8DL546WZHmWqzknBoC1tWfsfUT3aj0WivqN1XytvPHvf5k5ULctOv6Hj7BYYRFlXfqSwsqh77t/1x2fusSGfjPv94X2nc5/P09ickIpbM1BMVts8rcfZzXtHH+3ye3v4EuzFuLx97nOcvRlCYl4GPn+s4ffxCKTwv61OYl4H3Ob//ETFx3PHkYoxFeVitZrx9g/nh7VuJiIkDIDs9gZ1rvuXOp34jpEYDAMKiG3Pq6FZ2rvmOvqNfrMgwL+p6+z5fuzmDfQe3On7We9gHmAQFepCRVXJ5PihQz+GjF886Pnpvfbq0D+bBqTtJyyjZvm2LQKIjvVg6t5tT/ZefasaufTn87+mdVxqKuIBCE9hsaqlFAXw8oaCMRfbyiylXfbPVPhcnKx+SMlTuG6LQqq7C+v0qsRH2zM9bC22YLPb6y7ap1IlUaF5HYcN+6SBcj6rUMDaAQYMGYTKZMJvNDBzovExovXr10Ov1rFu3zlFmNpvZsmULTZs2Lfdr6PV6rFZrhbR36tSp5OTkOD1GjHvqivap0+mJim3G0X0bHWU2m42j+zYSU7/VFbYYtq/5GR//YBq27HnxyleRVqenRu1mHNu/wVGm2mwc37+B6HqtL7Bl2WKbdOI/L/zKPdMWOR41ascR13EY90xb5PaODpw53ufFbbPZOLp/IzXrtbrs/cbUb03G6WNOZRmnjxMQEnXZ+6xI2jNxHz3veF9p3OczFReQmZqI30VW67tazn7Oj58X97EDG6lZt1WFvY6puIAsN8at1ekJj2lG4kHnOBMPbqBGrOvf58g6rUg8uNGpLCF+PTViW5Wqa/Dyw9s3mKzU46Qm7KFe874AWEz2MydFcf7zp2i0blmx63r7Pi8qsnIqudjxOJZQSHqmkXYtSxbL8PbS0rShP3sO5F5wX4/eW58enUN5+JldJKc4X7L/dn4C4/+3lYkPlTwAPvjyCK9W0cUKqhKbDZKzIDbCeb5NbITCyQzXv2enMlTqnFe/TqTCqTLqn6UooD3zp9rjzL/nb6Gq9nrViU2tvEd1U+UyO1qt1jEkTat1PhH18fHhvvvu44knniA4OJhatWrxxhtvUFhYyKRJk8r9GrGxsRw7dowdO3ZQs2ZN/Pz8MBgub4iTwWAota2H/uIZpIvpOmg8C2ZOJapOHDXrNmf98q8xGYto290+/Gj+Z1PwD4pgwCj7ECWLxUTaqSMAWC1mcrNSST6xH72nNyERJePUbTYb29cspHW34Wi1197Ho2P/ifwyawo1YuOIrtOCTX/NwWwqomVXe2Zm8ZdP4hcU4Zh/Y7WYSEs64vh/XlYKpxPscQeH18bg6Ut4dEOn1/AweOPtE1iq3J06D5zAz188RdSZuDf+OQezsYjW3exxL5w5Bf+gcPrdYo/b4hS3mbzsFJIT9qM3lBzvzgMm8OWrY1j926c0a38Dp47tYts/PzJs/NW9sn0hnQZMYNGX58T9lz3uVmeO989fTMEvKJx+I10dbzO5Z4+3wZvgM3H/Me91GrbqTWBIFHnZqaxa/CEajYa4jkPdE6QLnfpPYPGsp6hRO46oOi3YfCbus5/zRV9OwS8wnL5lxJ2XXTruP398nYYtexNwJu5/zsTdzI1xt+k1kT++m0JErTgia7Vg+z/23+emHe1xLv/2SXwCIug2zB5n657jmP/+nWz7exZ1mvUkfvvvpCTuccrGHPx3KV6+wfgHRZGeHM+qha9Sr3k/aje2X+EPiqhLYGhtVvw4je43TcHTJ5Aju/4iIX4dN93z2dV/E7h+v8/P+umXU4wfXYvEpCKSU4q5+45YMjKNrNlYksV79+UWrN6QzsIl9kU1HruvPv16RDD1lT0UFlkIDrSPusgvtGIy2cjMNrtclCAlrbhUx+hapvXxxqd+yfB67zo18W/ZGFNmDsWJyRfY0v02HVC5sZNCciYkZap0aKjgoYNdR+1n08M6KuQVwapd9p83x6vc2VehYyOFw0kqTWsr1Aiyr+IG9o5M12YKB0+p5BeBt8G+UpufF+xPsNc5mQ7FZrixo4Y1e0uGsQX6wOGk6nUWL8PYyu/a/fa7AH//sldoee2117DZbNx5553k5eXRrl07li9fTlBQ+ZdYHTlyJAsXLqR3795kZ2fz1VdfMWHChApoecVp3nEwBblZrFj4Pvk56dSo1YTxj3/uGPaQnZmMoim5cpmXlcZH00qGaq1dOou1S2cR27g9d0/92lF+ZO8GcjKSadujpO61pFn7wRTmZfLP4vcpyE0jIqYJYx7+wjGMLScz2emKbV52Kl+8NNzx88Y/ZrHxj1nUatiBcU98c7Wbf9niOgymIC+TlYs+ID8njciYJtzx6EzH8c7JTELRlFy2ystO5bMXSubdrF82i/XLZlG7UXsmTrHHHV2nOaMf+IAVC97mn18+JiisJoPGTKVF52FXN7gLiOtgP96rFn1Afq497rHnx62cF/f0krg3LJ/FhuX2uCc8aY87NyuFBZ89RlFBNt5+wdSq35ZJz8zDxy/46gZ3Ac06DKYwP5N/Ftvjjohpwu2PlMSdm1E67pkvuoi7YXvGnRP3ws9L4o6p35aJT7s37kZtBlOUn8mG39+331S0ZhOG//cLfM78PudmJcM5v89RddowaNybbPj9Xdb/9jaBYbEMm/QRoVElFyYKctNYveg1+3A4/zCatL+JjgPvdzyv1Xpw072fs+7Xt/jl8/9iMhUSGFqLgWNfc7o56dV0vX6fn/XdgkQ8PbU8+WBDfH107N6Xw2PP78ZkLjmZi470ItC/ZBj5iMHRAHw4o5XTvl559wBLV6RclXZfDQFt4+i8ouRvVdM3nwYg8euF7Jo01V3NKpf9ifZhbD2bK/h4KqRkw9xVNgrOzK0J8FGc5tKdyoBFG2z0aq6hVwuFzDz4aa2NtBz78zYVQvwUbumq4GWwr7yWnGGfm5N+JglYZLK/Rs8WGsb21qDVQFqOfT+p2Vc1fHENUdSqeqetKuynjVee2amKik1VbtRkhdBpr89fsev1m+V6vdiWV1DNxoiUU2jg9fl9/t4ra9zdBLeYuuw/7m6CW+z4xj033HW3Z25z/1D2stz7WuWtpf3ZU9fOxb+KcH2efQohhBBCCCGqvSo5jE0IIYQQQojrle16HUZwGSSzI4QQQgghhKiWJLMjhBBCCCFEFSJT7stPMjtCCCGEEEKIakkyO0IIIYQQQlQhcp+d8pPOjhBCCCGEEFWIdHbKT4axCSGEEEIIIaolyewIIYQQQghRhdhkgYJyk8yOEEIIIYQQolqSzI4QQgghhBBViMzZKT/J7AghhBBCCCGqJcnsCCGEEEIIUYXITUXLTzI7QgghhBBCiGpJMjtCCCGEEEJUITaZs1Nu0tkRQgghhBCiCpEFCspPhrEJIYQQQgghqiXJ7AghhBBCCFGFyAIF5SedHTfYsc/s7ia4hdV6ff5iajSKu5sgrqLrdRz19fo5Tzzl7ha4R+u+rd3dBLfYMXafu5vgFq3ubOruJrjHbfHuboGoANLZEUIIIYQQogpRbTZ3N6HKkDk7QgghhBBCiGpJMjtCCCGEEEJUIdfrkOnLIZkdIYQQQgghRLUkmR0hhBBCCCGqEFmNrfyksyOEEEIIIUQVIjcVLT8ZxiaEEEIIIYSoliSzI4QQQgghRBUimZ3yk8yOEEIIIYQQolqSzI4QQgghhBBViE2Vm4qWl2R2hBBCCCGEENWSZHaEEEIIIYSoQmTOTvlJZkcIIYQQQghRLUlmRwghhBBCiCpEMjvlJ50dIYQQQgghqhBVlc5OeckwNiGEEEIIIUS1dF1kdiZMmMCcOXMA0Ol0BAcH06JFC8aMGcOECRPQaKpGn69jEw3d43T4esHpLJXfNlg4mV52zz4uVkO/NloCfRUyclWWb7Vy8KTzUoV9W2tp30iLpx5OpKr8st5CRm7pfWo1cN8wD2qEaPhwkYnkzMq9otC/rY72jbV46eF4io1Fa12361ydmmrp2cL+/iRnqvyy3szJtJJtdFoY0lFHi3padFo4dNLGonVm8ouc99O2gZZuzbWEBigYzbD7qJXF6y2lXi/EX+GhEXpsKkz/2lghcfdro6VdI3vcJ1JUFpdxPJzibqKhe/Mzn4tMlV/P+1zotDC4g44WdTVoz8T9y3oL+cUl+3h1kqHUfueuNLPrqP3z4ucFgzvqiA5VCPZX2LDXypJN1gqJGdwX91leBnhohJ4AH4UXvzFSbLKXN6utoUMTLVHBClotpGarrNhu4dCpyvn8V4XPfUW4Vj/ndSIV7hmiL1Xn1e+Npd6vyyGfc7vBnQx0ae6Bl0HhWJKVeX8Xk5Z94WV0u7fwoG87A/7eCqfSbcxfWcSJFNfb3Dfcm6axOmb+WsiuI86f4Y5NPejdWk94kIZik8q/hyz8tNLFm1XB2tZX6NREwdcTUrLhj202kjLLrt84Bno21xDoA5l58PdOG0eSS57vHqfQtJaCvzdYbXA6E1btct5nsB/0bamhZpj9b3hqNvyz28aJ1MqKsuIEd2tH3ccmEdAmDs+ocLaOvJ+UX1a4u1nXFJtNlp4ur6pxll8BBg0aRHJyMsePH2fp0qX07t2bhx9+mKFDh2KxVM4f9IrUvI6GwR10/L3Dwke/mDmdqTJhoAc+nq7r1wpXGNVLx9aDNj5abGZ/go2xfXWEByqOOt2ba+ncVMvi9RY++dWM2Wzfp05ben+D2mvJLbw6KdOeLbV0aaZl0VozHy02YTbDXTe4btdZLepqGNpJx1/bLXzws4nkDBuTbtA7vT9DO+loUlvL9yvMfP6bCT9vhTv6OZ/YdGuuZUB7Hat2WnhnvokvfjeV6iACaBS4rY8Hx05X3JdNjxZnjsc6C5/8YsZkUZlYxvE4q3kdDYM76ljxr4WPFptJzlSZOMj5czGko47GtTR8/7eZmUvM+PsojO3nUWpf81ebefV7o+Ox70RJbFotFBSrrNxh5XQFd3TdHTfAyO46TmeWPpaxkQqHT9mY/YeZjxabOZpk487+HtQIUVzs5cpUhc99RXD38b7Q5/yst34yOdUpqICOjrvjhmvjc96vnZ6erfXMW1HMW3MLMJpV7h/hfcH3oU1DHSN6eLJ0o5E3vi/gVJqV+0f44OtVun29W+vLHN7Tu7WeoV0M/LnVyKvf5PPhwkL2n6j8v/9NYhT6vDq/CwAAN8VJREFUtVZYs0fly+U2UrNVbuulwbt03xuA6BAY0VnDzqMqXyy3cfCUyq3dNIQFlNTJzIPl22zMXGrj679s5BSojDlvn6O6a9Bo4Lu/bXy53EZKtsqoHpoyzxuuJVofb3J3xbPnoenuboqoBq6bzo7BYCAyMpLo6GjatGnD008/zeLFi1m6dCmzZ88G4O2336Z58+b4+PgQExPD/fffT35+PgAFBQX4+/szf/58p/0uWrQIHx8f8vLyKrX9XeO0bI23sf2QjbRslcXrLJgt0Lah678QnZtqOXTSxto9VtJyVP7abiUpQ6Vz05L6XZtpWbXTyv4EGylZKj+ttuDnBU1qOX8sGtbUUD9aw9ItFXcl/0K6xun4+18L+07YOJ2pMm+VGX9vhaa1y/64dmuuY/MBK9sOWknNVlm01oLJAu0a2eM1eNj//9tGM0eSbJxKV5n/j5nYSA0x4fY/mF56GNBOx4+rzOw8YiMzT+V0psr+hNInBwPa60jLVtl9tOJOCLs007Jyh/14nM5S+ekfC37eXDjuOC1bznwuUs98LkznfC4MHtC2oYbfN1k4mqySlKGyYLWF2hEaYsKcTxSKTJBfVPKwnHO4s/Pht41W/j1sc1wNri5xd2yswVOvsGZ36c/3kk1W1uy2cipdJSNX5Y9tVjJyVZrEVPxXZ1X43FcEdx/vC33OzyooVp3qVET33t1xXyuf816t9SzfZGT3UQtJ6Ta+WV5EgI9Ci3plDzTp3cbAhj1mNu0zczrTxrwVxZgsKp2bOXfqosM09G6j57s/S2dqvAwwtIuBb5YXsS3eQnqOSlK6jT1HK7+z07Gxwo4jKruOqaTnwu9bVCwWaFnXdWeyQyOFI8mw8YBKRi78s1vldBa0a1BSf+8JleMpkF0A6bnw578qnnqF8MAz8ertow/W77eRmgNZ+bByp4pepzh1mq5VactXc/D5d0lZ/Je7m3LNUm1qpT2qm+ums+NKnz59aNmyJQsXLgRAo9Hw/vvvs3fvXubMmcPff//Nk08+CYCPjw+33XYbX331ldM+vvrqK2655Rb8/PwqrZ1aDUSFKBxOKjn5UIHDSTZqhbn+sqwVruFIkvMH9vApm+MEJ8gP/LwVjpyzT6MZTqap1Aov2aePJwzvqmP+PxbMlsr/BQj2U/D3tl9lPLddiWkqtSNcf1y1GogOdd5GxR5v7XD7NjXDNOi0znXSclSy8lRHnfo1NShAgA9MvkXP1DEGbu/rQYCP8+vVi9LQvI6GxevMFRM09uPhX47jcS6tBqJCS38ujiTZHNtEhyr2uJPOiztfpVa48/t5Y2cdz4zVc9+NHrRtcHW+Gtwdd3igQu/WOn76x0x55noqgMFDodBYsb8LVeFzXxHcfbyhfJ/z/w3X89QYPRMHeZTZrkvh7rivlc95iL9CgI+G+MSSDkaxCY6ftlKnhusLd1oNxIQ7b6MC8QkWYs/ZxkMH4wd58dPKYvJcjEJoXEuHokCgr4Znxvnw4iRfJg72ItC34rNX59JooEYQHEtxbtOxFJWaZWTOokOUUvWPnlaJLqO+RgOt6ykUm1RSsuxlRSZIz1VpHqvgoQVFsdfJL1Y5fYHhc0JUR9fFnJ0Lady4Mbt27QLgkUcecZTHxsby8ssv89///pePP/4YgLvvvpsuXbqQnJxMjRo1SE1N5ffff+evvyr3yoO3AbQahfwi5y+//CKVsEDXf6x9vSC/uHR9vzNp/7P/ltpnseo0NOCWHh5sPmDlVIZKoO8Vh3JRvl4lbXVqV5HqcsgCgLfnxd8fXy+wWNVSWYn8IhVfb/t+g/0UFAV6tdLx6wYLxSaVAe10TBqs570FJqw2+7G4tacH81aaMFZcX6fs43G5cQdoHPstO+6Sn//cZuFIkg2zFRpEa7ixiw69h5UN+yo3m+fOuLUaGN1Lx7LNFnIK7OPbL6Zbcy16D9h9rGKzHtf6576iXOuf87wiWLTWzMl0lf9v777DojjXNoDfs7tUQVxsCEq3oaKgYtSAXeyxxS4KqLF7FFtijL3EWKJiYgWUYwlB4qeGo0RRFJRgQSxgoQhIE0RAOuzO98fKygYwmLAMOzy/6+JSZhe4hx125pm3iYSyVrHZw9Xw8/kSJL/55xf+dJzLNGwgy/0uT3Gf3uWz8sf+qoEWA6GAqdCN+l0+i+b6H4qdsX00EZciwaMqWmqa6AnAMMDg7urwDSpEYZGspWfhWG1s+29ejR7n5WmrAwIBg7y/NDblFQKNG1b+NTqaqPT5DbQUt1kayrq7qYlkLZCnrktRUO5YOHVNii/tBVgxngHLAnlFwJnrUhTW4LmLcIdlacxOddX7YodlWTCM7GRz5coVbNu2DU+fPkVOTg5KS0tRWFiI/Px8aGtrw87ODh06dMDx48exevVq/Pe//4WJiQkcHByq/P5FRUUoKlIcvF5aAojUquisW4f0tJKd8IIeKu+Ct4uFAGPsP3RF8LpUw32kPgHDACIhgwu3SvDi/Z3wM4ElWDNVA+aGArx4JcVYezU8iJYgLvXf3fHsbCHA6N4f/vxOBHB79rn24MNrnPJGAnWRbExXTRc7dWm/HbsLkZ7N4kFM9U4Ync0FGGAjhPeVkgoXIp9K1Y77f6ouvd7A3x/nGdksMrI//G0nvC5FY1019O4oxK9B1e/uVJf2m8vjvFtbESYN+HCFfvD/8v/dN6xCR3MR2rQU4vtTeVU+p+w4971eiKcJstfb638F2DJbB61bCfE0vna6adek+DTg6GUptDRkrTZjewng+YcU+e8vOYZ0FSCvEDhxVYpSCdDFnMEEBwE8A6SVTmBBCF/V+2InKioKZmZmePnyJUaMGIF58+Zhy5Yt0NfXR3BwMFxdXVFcXAxtbdltslmzZuHAgQNYvXo1PD094ezsLC+WKrNt2zZs2KA4wO7zUWvg8MXaamfMLwIk0rI7gB9OxDpaDHKrmDQgtwDQ0VTMpaPF4N37u4Rl/5bfBsi+JuX9AFbzFgyMmzLYMENxMPO8UWqIiJHi7M1/39c5MkGKRL8PF3pCYcWsZZ+nvKn8ZJ1f+Pe/n9wC2YlOUx0Kd0HLP+fd+/NwWrlZgfIKZR+NGsh+lxaGArQ3AeytZUEZyO7abXHVwG83S3H3efVOmFEJUiS+/hBEJGSq3u9KBhT/3X6Xf52r3u+q8yWms+hvw0AoQI3e8axL+23eQgADMYNNzrLju+yvZc1UdVx/IMHV8A+vpbW5AGPsRTgdWFqhe+g/oWrH/T9Vl17vylTnOE9Ml8LU4NO6ddal/ebyOH8UW4qXqbnyz8t+D7oNFFtqdLUZJKVX/t6ZV8BCImXRUFvxWNTVZpCTJ/vdtWklRJNGAuyYp9hs5TpcCzHJEuzzzUf2+9ak8hM05BawyC1goa8rAKCcYie/GJBK2QqTAjTQRJUTX+QWolrPL5HIxuK8zQWS37CYN5xBF3MGt6JYmDaXtfzs8pOi+P2p+tI9FmYGDDqZMbgdxb9xGfUNH8fWKEu9LnYCAwPx6NEjLF26FPfu3YNUKsWuXbvkU1H7+PhU+Jpp06Zh5cqV2LdvHyIjIzFjxoyP/oyvv/4ay5YtU9i25fSn5ZRIZW9kFoYC+aBhBrIL79Coyt+gE15LYWHI4Fbkh20WhgIkvpb9cbx9J+sGYG4oQEqm7HtoqAEtmzL486nsORdDS/HHvQ8nmIbagPMQdfxyrRSJ6TVzBVxcArwpUfyDzclnYWmkmKtVUwahkZX/TIkUSMqQfU3ZzEoMAEtDAW5Fyt7lX6VLUSphYWkowOOXsuc00WMg1mUQ/1r2edk0pk31BPKTqJaG7CSTlSvL+NP5YgjKnXOtTATo01mEn88XIyev+m88xSVApsLNXhY5+bLXuKrXo7L9Ts5gYdlCgKh4xeOi7E51UgaLUons+z4pv986DBJeV/0attCX9dev6a4ddWm/T10tgZrow4tp1ITBeAc1HP69BJnlpgO2NhdgnL0IZ66V4lli/Tzu/81+1pXXuzLVOc5bNBZUOgbkY+rSfnN5nBeVAEXZ5fePRXaeFG1biZCULqvONNUBUwMhgh9W3ropkQKJr6Vo00okn0aaAdCmlQg3I2Rf88edYtx+rNh69s10HfjdKMLjWNn22GTZ76yZWICsXNn/tTVkhWFmjvK6A0mlQMpbwLQ5g+flpvI2bc7g7ovKX/ukNyzMmjO48/zD42YGDJL+pislw3y4caL2/t+/fgXLyp5HVB8VO9VXb4qdoqIipKamQiKRIC0tDZcuXcK2bdswYsQIODk54fHjxygpKcH+/fsxcuRIhISE4ODBgxW+j1gsxtixY7FixQoMHjwYLVu2/OjP1dDQgIaGYpc1kdqnr8kS8liCcfYiJGUI8CqdRa8OQqiLgHvvWxLGO4iQkyebRQcAbkdKMGuYrPvFs0QprM0FMGrC4FzIh9aYkCcS9OssxJv3A1oH2grxrgDygio7Dyj/Vll2dyjzHYsc5fRGeL+vpehvI0JGNovMd7LxAzn5rMIUsbOGqeHJS6n8pB/8qBRf9lHDq3QpEtNZfN5R1gWv7PdTVALcfSbB8M/UkF9UgqISFqN6qSE+TSovADOyWTx5KcHIniL43SxBUQkwpLsI6dmsfGBxepbim0vLJrKTR9rbf/+mc+uJBP26CJGRIxtAPqirEO/yobDfrkPV8OSlBKFRsm3BjyUY7yDCq/fHRe+OsuPifrn9vvdcimE9RCgoKkFhMTCyp0i23+/XYmnXSgAdLdld7pJSFq2NBOjbWVhh1qYW+rIzpLoIaKDJoIU+A4lUtiaHKu535jug/PFdNmVretaHMRCdzQUY30eEi6GyAr9sbE1JKWp0zBZQt4/7mlSXj/NeHYR4+45F2lsp1EQMurURwKIFA89L/74Vm45zmevhxXC008DrLCneZEsxopcGsvNYhfVwFo7VxsOYEtyIkP3wa/eLMG2wFhLSJIhPlaCvrTo01BiERsoef5fPVlqQvn0nla9jlJ4lxcOYEozro4kzVwtRWMxiZG8NpL2V4vkr5XZh+/Mpi1GfMUjJBJIzWdi1YaAmAh7GyrKN7MHgXQFw/aHs87BnLKYPYNCjLYPoZBZWJgxaiGWzuAGyQqZ3B1nxlFsge027tWagqwVEJcie8yoDKCwBRvUQ4OaTD93YGjUAomug1U7ZhA200cDSWP65tllLNOzcDsWZ2ShMTPnIVxJSUb0pdi5duoQWLVpAJBJBLBajc+fO2LdvH2bMmAGBQIDOnTtj9+7d+P777/H111/DwcEB27Ztg5OTU4Xv5erqilOnTsHFxaXW8j+Kk6KBZikG2Iqg+37xQK+AD32q9RowCrPsJLxm4XO9FAO7CjG4qxBvclicvFqqcGF685Gsz/ro3iL5oqJel0sqnYq1NgVFSKAuYjDWXg2a7xdX9LykmKtxQwEaaH7Yl4exst/PoK5q0NWWtYR5/K9YYSHAi6GlYFlg2kDZ2hbP3y+uWJ7P9RKM6CmC8xDZYqFxKVJ4/K8YtXED5cZD2esxpuz1SGPh+ZfXQ1+XQYNy3RPLjouBXd8fF29kX1O+P/bvf5aCZUWYMkANIgHwIkmqsFikRMriMysRhusyAAO8yWHh/2cp7jxTvNBdNOZDd8aWTYEulrILwx98/t14E672uzq6txNCKGDwRS81fNHrw/Z7zyU10o2zvPpy3Nfl41wokC2e21BbdqGfmsnC41IJYlP+/S+CjnOZK3eLoS5iMHmAJrQ0GMQmS/DTb/kKv4cmjQRooPWh6+D956XQ0SrE8J4asi5vGVL8dC7/k1vcvC8XYKyDJuZ+oQ2WZRGdJPvZyl6bMSpR1o2tTyfZ65uWJZsoIO/9fU+9BgzYcgVp0hvg3G0p+nYSoK81g8x3wK/BUqRnyx6XskBjXQbjezPQ0pDNvJbyRjY2JyNH9pyCYtnP6GMtwNR+AggFQHq27Pu8zlLu/tYEva4d0fOqt/xzq53fAAAST/jhoevXXMWqU6QqOEFBZmYmFi1ahAsXLkAgEGDcuHHYu3cvdHQqnwErMzMT69atQ0BAABISEtC0aVOMHj0amzZtgp6eXrV/LsNWtfoWqZK3tzeWLl2K5ORkqKtXXG3776zx+PSWHT6QSOrnoSYQUJ+B+kRaT7sW0HFev7x7Vz/PYwYGSpiTXQV0mW7FdQRODC95xnWEKjnOeKC07335eBelfN+hQ4ciJSUFhw4dQklJCZydndG9e3ecOnWq0uc/fvwY69atw8yZM2FlZYX4+HjMnTsX1tbWFda9/Jh607JTE/Lz85GSkoLt27fjq6+++keFDiGEEEIIIf+Gqo3ZiYqKwqVLl3Dnzh1069YNALB//34MGzYMO3fuhKGhYYWv6dixI86ePSv/3MLCAlu2bMG0adNQWloKkah6ZUy9XlT0U+3YsQPt2rWDgYEBvv6amlEJIYQQQgi/FBUVIScnR+Hjr8uofKrbt2+jUaNG8kIHAAYOHAiBQIA///yz2t8nOzsbDRs2rHahA1Cx80nWr1+PkpISXL16tcr+hYQQQgghhCgTK5Uq7WPbtm3Q09NT+Ni2bdu/ypuamopmzZopbBOJRNDX10dqamq1vkdGRgY2bdqEOXPmfNLPpmKHEEIIIYQQAkC2bEp2drbCR1U9mlavXg2GYT768fTp03+dKScnB8OHD4eVlRXWr1//SV9LY3YIIYQQQghRIcocs1PZsilVcXNzw8yZMz/6HHNzcxgYGOD169cK20tLS5GZmQkDA4OPfv27d+8wZMgQ6Orq4rfffoOamlq1spWhYocQQgghhBDyyZo2bYqmTZv+7fN69uyJrKws3Lt3D127dgUABAYGQiqVokePHlV+XU5ODhwdHaGhoYHz589DU1PzkzNSNzZCCCGEEEJUCMtKlfahDO3bt8eQIUMwe/ZshIWFISQkBAsXLsSkSZPkM7ElJSWhXbt2CAsLAyArdAYPHoy8vDwcO3YMOTk5SE1NRWpqKiSS6i8KSS07hBBCCCGEqBBVXNPt5MmTWLhwIQYMGCBfVHTfvn3yx0tKSvDs2TPk5+cDAO7fvy+fqc3S0lLhe8XFxcHU1LRaP5eKHUIIIYQQQohS6evrV7mAKACYmpqCZT8UcX379lX4/J+iYocQQgghhBAVwkqV092Mj2jMDiGEEEIIIYSXqGWHEEIIIYQQFaLMqaf5hlp2CCGEEEIIIbxELTuEEEIIIYSoEGVNEc1H1LJDCCGEEEII4SVq2SGEEEIIIUSF0Jid6qNihxBCCCGEEBVCU09XH3VjI4QQQgghhPATS+qNwsJCdt26dWxhYSHXUWoV7Tftd31A+037XR/QftN+E/KpGJZlqdNfPZGTkwM9PT1kZ2ejYcOGXMepNbTftN/1Ae037Xd9QPtN+03Ip6JubIQQQgghhBBeomKHEEIIIYQQwktU7BBCCCGEEEJ4iYqdekRDQwPr1q2DhoYG11FqFe037Xd9QPtN+10f0H7TfhPyqWiCAkIIIYQQQggvUcsOIYQQQgghhJeo2CGEEEIIIYTwEhU7hBBCCCGEEF6iYocQQgghdU5paSlOnDiBtLQ0rqMQQlQYTVBACCGEkDpJW1sbUVFRMDEx4ToKIURFUcsOIYTwQGFhIdcRCKlxdnZ2ePDgAdcxCCEqTMR1AKJ8MTEx8PT0RExMDPbu3YtmzZrhf//7H4yNjdGhQweu45Ea5OTkhH79+sHBwQEWFhZcx6k1eXl52L59O65evYrXr19DKpUqPB4bG8tRMuWSSqXYsmULDh48iLS0NDx//hzm5uZYu3YtTE1N4erqynVEpbh58yYOHTqEmJgY+Pr6wsjICN7e3jAzM8Pnn3/OdTyle/36NZ49ewYAaNu2LZo1a8ZxIuWZP38+li1bhsTERHTt2hUNGjRQeNza2pqjZERZ8vLyKrzOhPwbVOzwXFBQEIYOHYrevXvjxo0b2LJlC5o1a4aIiAgcO3YMvr6+XEdUColEAi8vryovfgMDAzlKplzq6urYtm0bXF1dYWRkhD59+qBv377o06cPWrduzXU8pZk1axaCgoIwffp0tGjRAgzDcB2pVmzevBnHjx/Hjh07MHv2bPn2jh074scff+RlsXP27FlMnz4dU6dORXh4OIqKigAA2dnZ2Lp1K/z9/TlOqDzv3r3D/PnzcebMGUgkEgCAUCjExIkTceDAAejp6XGcsOZNmjQJALB48WL5NoZhwLIsGIaR/x74KisrC2FhYZWex5ycnDhKpVzNmzfHhAkT4OLiUi9uXhDlozE7PNezZ098+eWXWLZsGXR1dREREQFzc3OEhYVh7NixePXqFdcRlWLhwoXw8vLC8OHDK7343bNnD0fJakdSUhJu3LiBoKAgBAUF4fnz52jRogVvX+9GjRrh999/R+/evbmOUqssLS1x6NAhDBgwQOHv++nTp+jZsyfevn3LdcQaZ2Njg6VLl8LJyUlhn8PDwzF06FCkpqZyHVFpJk6ciPDwcOzfvx89e/YEANy+fRtLlixBly5dcObMGY4T1rz4+PiPPs7nsTwXLlzA1KlTkZubi4YNGyqcxxiGQWZmJofplOfcuXPw8vKCv78/TE1N4eLiAicnJxgaGnIdjagoatnhuUePHuHUqVMVtjdr1gwZGRkcJKodZ86cgY+PD4YNG8Z1FE6IxWI0btwYYrEYjRo1gkgkQtOmTbmOpTRisRj6+vpcx6h1SUlJsLS0rLBdKpWipKSEg0TK9+zZMzg4OFTYrqenh6ysrNoPVIsuXryIy5cvK9ztdnR0xJEjRzBkyBAOkykPn4uZv+Pm5gYXFxds3boV2traXMepNaNHj8bo0aORnp4Ob29veHl5Ye3atXB0dISLiwtGjRoFkYguX0n10QQFPNeoUSOkpKRU2B4eHg4jIyMOEtUOdXX1Si8C+e6bb75Br1690LhxY6xevRqFhYVYvXo1UlNTER4eznU8pdm0aRO+++475Ofncx2lVllZWeHmzZsVtvv6+sLGxoaDRMpnYGCA6OjoCtuDg4Nhbm7OQaLa07hx40q7qunp6UEsFnOQqPZERkbi0qVLOH/+vMIHnyUlJWHx4sX1qtApr2nTpli2bBkePnyI3bt348qVKxg/fjwMDQ3r5fs9+eeoNOa5SZMmYdWqVfj111/BMAykUilCQkKwfPly3vb3BWR3xPbu3Qt3d/d6M34DALZv346mTZti3bp1GDt2LNq0acN1pFqxa9cuxMTEoHnz5jA1NYWamprC4/fv3+comXJ99913mDFjBpKSkiCVSuHn54dnz57hxIkTuHjxItfxlGL27NlYsmQJPDw8wDAMkpOTcfv2bSxfvhxr167lOp5Sffvtt1i2bBm8vb1hYGAAAEhNTcWKFSt4u++xsbEYM2YMHj16JB+rA0D+vs7nMTuOjo64e/cu74v4qqSlpeH48ePw8vJCfHw8xo8fD1dXV7x69Qrff/89QkNDERAQwHVMogJozA7PFRcXY8GCBfDy8oJEIoFIJIJEIsGUKVPg5eUFoVDIdcQaM3bsWIXPAwMDoa+vjw4dOlS4+PXz86vNaLUmIiICQUFBuH79Om7evAl1dXX5JAV9+/blbfGzYcOGjz6+bt26WkpS+27evImNGzciIiICubm5sLW1xXfffYfBgwdzHU0pWJbF1q1bsW3bNvmdXQ0NDSxfvhybNm3iOJ1y2djYIDo6GkVFRTA2NgYAJCQkQENDo8IEJHwp8EeOHAmhUIijR4/CzMwMYWFhePPmDdzc3LBz507Y29tzHbFGlW+tSk9Px8aNG+Hs7IxOnTpVOI+NGjWqtuPVCj8/P3h6euLy5cuwsrLCrFmzMG3aNDRq1Ej+nJiYGLRv3x7FxcXcBSUqg4qdeiIxMRGPHj1Cbm4ubGxseDkzl7Ozc7Wf6+npqcQkdUdERAT27NmDkydPQiqV8vouKKlfiouLER0djdzcXFhZWUFHR4frSEr3d0V9eXwp8Js0aYLAwEBYW1tDT08PYWFhaNu2LQIDA+Hm5sa77rkCQfVGF/B5Jjo9PT1MmjQJs2bNQvfu3St9TkFBAXbs2MGb45woFxU7PLdx40YsX768Qp/fgoIC/PDDD/juu+84SkaUgWVZhIeH4/r167h+/TqCg4ORk5MDa2tr9OnTh9ez0GVlZcHX1xcxMTFYsWIF9PX1cf/+fTRv3py349MSExPBMAxatmwJAAgLC8OpU6dgZWWFOXPmcJyOkH9PLBbj/v37MDMzg4WFBY4ePYp+/fohJiYGnTp1onEbPJSfn19vxykR5aBih+eEQiFSUlIqLDr35s0bNGvWjLd3huorsViM3NxcdO7cWd59zd7eXqH5n48ePnyIgQMHQk9PDy9fvsSzZ89gbm6Ob7/9FgkJCThx4gTXEZXC3t4ec+bMwfTp05Gamoo2bdqgY8eOePHiBRYtWsTLmxmFhYXYv38/rl27VunaI3zpvkVk7O3t4ebmhtGjR2PKlCl4+/Ytvv32Wxw+fBj37t3D48ePuY6oNCdOnMDEiROhoaGhsL24uBhnzpzh9bjbMoWFhRW6qjVs2JCjNERVUbHDcwKBAGlpaRWmHQ4MDMTEiRORnp7OUTLlsrGxqXRiAoZhoKmpCUtLS8ycORP9+vXjIJ3y/P7777C3t693J4OBAwfC1tYWO3bsUFh75datW5gyZQpevnzJdUSlEIvFCA0NRdu2bbFv3z788ssvCAkJQUBAAObOnYvY2FiuI9a4qVOnIiAgAOPHj0fz5s0r/J3zuVuLRCLBnj174OPjg4SEhAoXgXxcd+Xy5cvIy8vD2LFjER0djREjRuD58+do3LgxfvnlF/Tv35/riEpTX29W5uXlYdWqVfDx8cGbN28qPM7X/SbKQ7Ox8ZRYLAbDMGAYBm3atFG4IJBIJMjNzcXcuXM5TKhcQ4YMwc8//4xOnTrBzs4OAHDnzh08fPgQM2fORGRkJAYOHAg/Pz988cUXHKetOcOHD5f/v2wB0bIuTnx2584dHDp0qMJ2IyMjXi8yWVJSIr/re+XKFfmA5Xbt2lU65TwfXLx4Ef7+/vVuAVlANmbn6NGjcHNzw7fffos1a9bg5cuXOHfuHC9b8QDZjGRlLC0t8fTpU2RmZsrPcXzGsmyl+/jq1atKpyDni5UrV+LatWv4+eefMX36dBw4cABJSUk4dOgQtm/fznU8ooKo2OGpH3/8ESzLwsXFBRs2bFB4Y1RXV4epqal8BW4+ysjIgJubW4XpWDdv3oz4+HgEBARg3bp12LRpE6+KHalUis2bN2PXrl3Izc0FAOjq6sLNzQ1r1qyp9uBXVaOhoYGcnJwK258/f87rxVQ7dOiAgwcPYvjw4fjjjz/ks5ElJyejcePGHKdTDiMjI+jq6nIdgxMnT57EkSNHMHz4cKxfvx6TJ0+GhYUFrK2tERoaisWLF3MdUWmio6MRExMDBwcH6Ovrg8+dUsp6JjAMgwEDBigsoCmRSBAXF8fbRWQB4MKFCzhx4gT69u0LZ2dn2Nvbw9LSEiYmJjh58iSmTp3KdUSiYqjY4akZM2YAAMzMzNCrV68KU1bynY+PD+7du1dh+6RJk9C1a1ccOXIEkydPxu7duzlIpzxr1qzBsWPHsH37dvmd7+DgYKxfvx6FhYXYsmULxwmVY9SoUdi4cSN8fHwAyLorJiQkYNWqVRg3bhzH6ZTn+++/x5gxY/DDDz9gxowZ6Ny5MwDZ9LVlLZp8s2vXLqxatQoHDx6EiYkJ13FqVWpqKjp16gQA0NHRQXZ2NgBgxIgRvF1n582bN5gwYQKuXbsGhmHw4sULmJubw9XVFWKxGLt27eI6Yo0bPXo0AODBgwdwdHRUmGmw7GYln9/XMjMz5WsLNWzYUN498/PPP8e8efO4jEZUFBU7PNenTx/5/+vTQD9NTU3cunULlpaWCttv3boFTU1NALJWkLL/88Xx48dx9OhRhfUXrK2tYWRkhPnz5/O22Nm1axfGjx+PZs2aoaCgAH369EFqaip69uzJ230GgL59+yIjIwM5OTkQi8Xy7XPmzOHtbEbdunVDYWEhzM3Noa2tXeFGDh/HrZRp2bIlUlJSYGxsDAsLCwQEBMDW1hZ37typMIidL5YuXQo1NTUkJCSgffv28u0TJ07EsmXLeFnslI07MzU1xcSJE3l3nvo75ubmiIuLg7GxMdq1awcfHx/Y2dnhwoULvJ9shygHFTs8l5+fj5UrV9a7gX6LFi3C3Llzce/ePfk8/Xfu3MHRo0fxzTffAJANfO3SpQuHKWteZmYm2rVrV2F7u3bteH0RqKenhz/++APBwcF4+PChfHHNgQMHch1N6YRCIUpLSxEcHAwAaNu2LUxNTbkNpUSTJ09GUlIStm7dWukEBXw2ZswYXL16FT169MCiRYswbdo0HDt2DAkJCVi6dCnX8ZQiICAAly9frjD2sHXr1oiPj+coVe0o66FRXFxc6cyDZQvL8o2zszMiIiLQp08frF69GiNHjoS7uztKSkp41xuD1A6ajY3nFixYgGvXrmHTpk2VDvTjc9/XkydPwt3dHc+ePQMguwhctGgRpkyZAkC21lDZ7Gx80aNHD/To0QP79u1T2L5o0SKEhYXhzz//5CgZUYa8vDwsWrQIJ06ckF8ICYVCODk5Yf/+/bxs3dHW1sbt27flXfbqs9DQUNy6dQutW7fGyJEjuY6jFLq6urh//z5at26tMNPi3bt34ejoWOlNPL548eIFXFxccOvWLYXtZRMX8PVm5V/Fx8fj3r17sLS0hLW1NddxiAqiYofnjI2N5QP9GjZsiPv378PS0hLe3t44ffo0/P39uY5IalBQUBCGDx8OY2Nj+QQUt2/fRmJiIvz9/WFvb89xQuW5evUq9uzZg6ioKABA+/bt8Z///IfXrTtfffUVrly5And3d4UxWosXL8agQYPw888/c5yw5tna2uKnn37CZ599xnUUokTJyckwNDTEsGHD0LVrV2zatAm6urp4+PAhTExMMGnSJEilUvj6+nIdVWl69+4NkUiE1atXo0WLFhVaMflY8EulUnh5ecHPzw8vX74EwzAwMzPD+PHjMX369HrVkktqDhU7PKejo4PIyEgYGxujZcuW8PPzg52dHeLi4tCpUyf5jF2EP5KTk3HgwAE8ffoUgOyif86cOdi8eTMOHz7McTrl+Omnn7BkyRKMHz9eXuSFhobC19cXe/bswYIFCzhOqBxNmjSBr68v+vbtq7D92rVrmDBhAi/X0QoICMCGDRuwZcsWdOrUqcKYHb6OQwSAbdu2oXnz5nBxcVHY7uHhgfT0dKxatYqjZDVPLBbjwIED6Ny5M/r37w9bW1sEBgZi1KhRePLkCTIzMxESEgILCwuuoypNgwYNcO/evUq7JvMRy7IYOXIk/P390blzZ7Rr1w4syyIqKgqPHj3CqFGjcO7cOa5jElXEEl7r1KkTe/36dZZlWXbAgAGsm5sby7Isu3fvXtbIyIjLaDVOLBaz6enpLMuybKNGjVixWFzlR33z4MEDViAQcB1DaYyMjNj9+/dX2O7u7s4aGhpykKh2aGlpsZGRkRW2P378mNXW1uYgkfIxDMMyDMMKBAKFj7JtfGZiYsKGhIRU2B4aGsqamppykEh5Dhw4wOro6LDjx49nMzIy2M2bN7NffvklO3ToUHbNmjVscnIy1xGVrlu3buzNmze5jlFrPDw8WF1dXTYwMLDCY1evXmV1dXXZ48ePc5CMqDpq2eG5PXv2QCgUYvHixbhy5QpGjhwJlmXlA/2WLFnCdcQac/z4cUyaNAkaGhrw8vL6aHN32cDP+iIiIgK2tra87eOto6ODBw8eVJh978WLF7CxseFtC+aAAQPQuHFjnDhxQj72rKCgADNmzEBmZiauXLnCccKaFxQU9NHHy89AyTeampqIioqCmZmZwvbY2FhYWVmhsLCQo2TKERcXB1dXV0RGRuLw4cMKs0zWB4GBgfj222+xdevWetGKOXjwYPTv3x+rV6+u9PGtW7ciKCgIly9fruVkRNVRsVPP8H2gX2ULS1aGbyeJv8P3YmfKlCmwsbHBihUrFLbv3LkTd+/exZkzZzhKplyPHz+Go6MjioqK5P33IyIioKmpicuXL6NDhw4cJyQ1qXXr1li3bh2mTZumsN3b2xvr1q1DbGwsR8mUy93dHUuXLkX79u0VFtgEgPv373OUSvnKFoH+6407lqcTFBgYGODSpUtVzpIaHh6OoUOHIjU1tXaDEZVHU0/z2McG+pUtTMc3jRo1qtYARr6dJOo7KysrbNmyBdevX1cYsxMSEgI3NzeF2en4tMp8x44d8eLFC5w8eVI+Rmvy5MmYOnUqtLS0OE6nHDdu3Pjo4w4ODrWUpPbNnj0b//nPf1BSUoL+/fsDkE3MsXLlSri5uXGcTjni4+Ph5+cHsViML774okKxw2fXrl3jOkKtyszMRPPmzat8vHnz5nj79m0tJiJ8QS07PMXW04F+5bu4sCyLYcOG4ejRozAyMlJ4Ht+6uowdO/ajj2dlZSEoKIi3Rd5fu/VUhWEY3t79ri/K7naXV/4GB1+PcUD2nrZ69Wrs27dPvkC0pqYmVq1ahbVr1/JupqojR47Azc0NAwcOxKFDh9C0aVOuIxElEgqFSE1NrfJ1TktLg6GhIa//xolyULHDU56enliyZAn+7//+D/369VN4LDAwEKNHj4a7uzucnJw4Slg7yq/LwGfOzs7Vep6np6eSk3ArIyMDgGyWMr46f/58tZ/LxzEO2dnZCp+XlJQgPDwca9euxZYtWzBgwACOktWe3NxcREVFQUtLC61bt4aGhgbXkWrckCFDEBYWhh9//JH356mPycrKwrFjx+RT6nfo0AEuLi7Q09PjOFnNEwgEGDp0aJXHc1FRES5dukTFDvlkVOzwFA30k6kvxU59lpWVhTVr1uCXX36Rd3EQi8WYNGkSNm/ejEaNGnEbsIZV1rJRGT726f+YoKAgLFu2DPfu3eM6itK4uLhg79690NXVVdhetrish4cHR8lq3qBBg+Dp6YmWLVtyHYUzZQunamlpwc7ODgBw584dFBQUICAgALa2thwnrFl0044oCxU7PEUD/WSo2OG3zMxM9OzZE0lJSZg6dSrat28PAIiMjMSpU6fQqlUr3Lp1C2KxmOOkRNmePn2Kbt268XbmPUDWzSclJQXNmjVT2J6RkQEDAwOUlpZylIwog729PSwtLXHkyBH5WKXS0lLMmjULsbGxfzt+jRAiU39G+tUzNNDvA771YycfbNy4Eerq6oiJialwvG/cuBGDBw/Gxo0bsWfPHo4SKkdgYCAWLlyI0NDQCjMLZmdno1evXjh48CDs7e05Sqg8Dx8+VPicZVmkpKRg+/btVd7cUXU5OTlgWRYsy+Ldu3fyacYB2Rglf3//CgUQUX13795VKHQAQCQSYeXKlejWrRuHyQhRLVTs8JREIvnorDVCoZCXdwH/OlC/sLAQc+fORYMGDRS2+/n51WYsoiTnzp3DoUOHKi3sDQwMsGPHDsydO5d3xc6PP/6I2bNnVzqFup6eHr766ivs3r2bl8VOly5dwDAM/top4bPPPuNVN67yymaZZBgGbdq0qfA4wzDYsGEDB8mIMjVs2BAJCQlo166dwvbExMQKXRkJIVWjYoenWJbFzJkzPzrQj4/+Omjzr+tREH5JSUn56FoyHTt25GVXzYiICHz//fdVPj548GDs3LmzFhPVnri4OIXPBQIBmjZtqtDawTfXrl0Dy7Lo378/zp49C319fflj6urqMDExgaGhIYcJiTJMnDgRrq6u2LlzJ3r16gUACAkJwYoVKzB58mSO0xGiOqjY4akZM2b87XP4OMMNDVysX5o0aYKXL19WOYg5Li5O4cKQL9LS0iqspl6eSCRCenp6LSaqPSYmJlxHqHVlU+XHxcXB2NiYuubWEzt37gTDMHByckJpaSlYloW6ujrmzZuH7du3cx2PEJVBExQQQlSWi4sLYmJi8Mcff0BdXV3hsaKiIjg6OsLc3Jx33ZssLCywa9cujB49utLH/fz8sHz5ct6sKVR+Udi/w6dFYytz8+ZNHDp0CLGxsfj1119hZGQEb29vmJmZ4fPPP+c6HlGC/Px8xMTEAJD97Wtra3OciBDVQsUOIURlvXr1Ct26dYOGhgYWLFigsHjuTz/9hKKiIty9exetWrXiOmqNWrRoEa5fv447d+5U6L5VUFAAOzs79OvX75OKhLqMFo2VOXv2LKZPn46pU6fC29sbkZGRMDc3h7u7O/z9/eHv7891RFIDXFxcqvU8vt3EIURZqNghhKi0uLg4zJ8/HwEBAfJB6wzDYNCgQXB3d4elpSXHCWteWloabG1tIRQKsXDhQrRt2xaAbPrlAwcOQCKR4P79+x+dkZGoHhsbGyxduhROTk4K0+rXl6UE6guBQAATExPY2NhUmIijvN9++60WUxGiuqjYIYTwwtu3b/HixQsAgKWlJS/H6pQXHx+PefPm4fLlywpFnqOjIw4cOFDt1hBVVn6/6wNtbW1ERkbC1NRUodiJjY2FlZUVCgsLuY5IasCCBQtw+vRpmJiYwNnZGdOmTeP9+xkhylS9pbgJIaSOE4vFsLOzg52dXb24MDAxMYG/vz8yMjLw559/IjQ0FBkZGfD39+d9oXPixAl06tQJWlpa0NLSgrW1Nby9vbmOpXQGBgaIjo6usD04OJgWTuaRAwcOICUlBStXrsSFCxfQqlUrTJgwQeHGBiGk+mg2NkIIUWFisRjdu3fnOkat2b17N9auXYuFCxeid+/eAGQX+3PnzkVGRgaWLl3KcULlmT17NpYsWQIPDw8wDIPk5GTcvn0by5cvx9q1a7mOR2qQhoYGJk+ejMmTJyM+Ph5eXl6YP38+SktL8eTJE+jo6HAdkRCVQcUOIYQQlbF//378/PPPClPnjxo1Ch06dMD69et5XeysXr0aUqkUAwYMQH5+PhwcHKChoYHly5dj0aJFXMcjSiIQCOQL6UokEq7jEKJyaMwOIYQQlaGpqYnHjx9XmHjixYsX6NSpE6/HrZSUlEBNTQ3FxcWIjo5Gbm4urKysoKOjg4yMDDRp0oTriKSGFBUVwc/PDx4eHggODsaIESPg7OyMIUOGQCCgEQiEfAr6iyGEEKIyLC0t4ePjU2H7L7/8gtatW3OQqPZMmjRJvrCklZUV7OzsoKOjg7S0NPTt25freKSGzJ8/Hy1atMD27dsxYsQIJCYm4tdff8WwYcOo0CHkH6CWHUIIIXXe48eP0bFjR/j5+WHChAkYOHCgfMxOSEgIrl69Ch8fH4wZM4bjpMrTvXt3WFtb49ixY/JtKSkp6N+/Pzp06ABfX18O05GaIhAIYGxsDBsbm4/ONOjn51eLqQhRXVTsEEIIqfMEAgG6d+8OV1dXtGvXDocPH0ZUVBQAoH379nBzc4ONjQ3HKZUrPT0dDg4OGDp0KHbv3o3k5GT069cPnTt3xpkzZ+iuP0/MnDmzWtOpe3p61kIaQlQfFTuEEELqvJs3b8LT0xO+vr6QSqUYN24cXF1d4eDgwHW0WpWYmIjPP/8c48aNw8WLF2Fra4uTJ09CKBRyHY0QQuokKnYIIYSojLy8PPj4+MDLywvBwcGwsLCAq6srZsyYAQMDA67j1Yrnz5/D3t4egwYNgre3d71ZVJUQQv4JKnYIIYSopOjoaHh6esLb2xupqakYMmQIzp8/z3WsGiUWiystZvLz86GhoaHQopOZmVmb0QghRCVQsUMIIURl5eXl4eTJk/j666+RlZXFu3VIjh8/Xu3nzpgxQ4lJCCFENVGxQwghROXcuHEDHh4eOHv2LAQCASZMmABXV1d89tlnXEdTitLSUpw6dQqOjo5o3rw513EIIURlULFDCCFEJSQnJ8PLywteXl6Ijo5Gr1694OrqigkTJqBBgwZcx1M6bW1tREVFwcTEhOsohBCiMkRcByCEEEL+ztChQ3HlyhU0adIETk5OcHFxQdu2bbmOVavs7OwQHh5OxQ4hhHwCKnYIIYTUeWpqavD19cWIESPq7TTL8+fPh5ubG169eoWuXbtWaM2ytrbmKBkhhNRd1I2NEEIIUQGVLRrKMAxYlgXDMLybnIEQQmoCtewQQgghKiAuLo7rCIQQonKoZYcQQgghhBDCS9SyQwghhKiQyMhIJCQkoLi4WGH7qFGjOEpECCF1FxU7hBBCiAqIjY3FmDFj8OjRI/lYHUA2bgcAjdkhhJBKVBztSAghhJA6Z8mSJTAzM8Pr16+hra2NJ0+e4MaNG+jWrRuuX7/OdTxCCKmTaMwOIYQQogKaNGmCwMBAWFtbQ09PD2FhYWjbti0CAwPh5uaG8PBwriMSQkidQy07hBBCiAqQSCTQ1dUFICt8kpOTAQAmJiZ49uwZl9EIIaTOojE7hBBCiAro2LEjIiIiYGZmhh49emDHjh1QV1fH4cOHYW5uznU8Qgipk6gbGyGEEKICLl++jLy8PIwdOxYvXrzAyJEj8fz5czRu3BhnzpzBgAEDuI5ICCF1DhU7hBBCiIrKzMyEWCyWz8hGCCFEEXVjI4QQQuowFxeXaj3Pw8NDyUkIIUT1UMsOIYQQUocJBAKYmJjAxsYGHztl//bbb7WYihBCVAO17BBCCCF12Lx583D69GnExcXB2dkZ06ZNg76+PtexCCFEJVDLDiGEEFLHFRUVwc/PDx4eHrh16xaGDx8OV1dXDB48mMbrEELIR1CxQwghhKiQ+Ph4eHl54cSJEygtLcWTJ0+go6PDdSxCCKmTaFFRQgghRIUIBAIwDAOWZSGRSLiOQwghdRoVO4QQQkgdV1RUhNOnT2PQoEFo06YNHj16BHd3dyQkJFCrDiGEfARNUEAIIYTUYfPnz8eZM2fQqlUruLi44PTp02jSpAnXsQghRCXQmB1CCCGkDhMIBDA2NoaNjc1HJyPw8/OrxVSEEKIaqGWHEEIIqcOcnJxoxjVCCPmHqGWHEEIIIYQQwks0QQEhhBBCCCGEl6jYIYQQQgghhPASFTuEEEIIIYQQXqJihxBCCCGEEMJLVOwQQgghhBBCeImKHUIIIYQQQggvUbFDCCGEEEII4SUqdgghhBBCCCG89P/g3G0XPH0jiwAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "HvbzAbL1vLm0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "9yr7fU8BvLpO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "twwHk6k7xFqB"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## <span style=\"color:#1f77b4\">7. Momentum Trading Strategy</span>\n",
        "\n",
        "### <span style=\"color:#ff7f0e\">7.1. Calculating Momentum Indicators</span>\n",
        "\n",
        "- **Objective**: Compute momentum indicators to identify potential buy and sell signals based on historical price changes.\n",
        "- **Actions**:\n",
        "  - **Define Momentum Calculation**: Create a function to calculate momentum based on past returns.\n",
        "    - **Function**: `calculate_momentum(data, period)` calculates the difference in 'Close' prices over a specified period.\n",
        "  - **Apply Function**: Calculate momentum indicators for various periods (90, 180, 270, 360 days) and add these as new columns in the dataset.\n",
        "    - **Periods**: Define different time periods to capture various momentum signals.\n",
        "  - **Result**: Generate new columns in the dataset representing momentum values for each period.\n",
        "\n",
        "### <span style=\"color:#2ca02c\">7.2. Distribution of Momentum Indicators</span>\n",
        "\n",
        "- **Objective**: Analyze the distribution of momentum indicators to understand their frequency and distribution patterns.\n",
        "- **Actions**:\n",
        "  - **Plot Histograms**: Create histograms with KDE for momentum indicators calculated for each period.\n",
        "    - **Histograms**: Show the distribution of momentum values.\n",
        "    - **KDE**: Provides a smooth estimate of the distribution.\n",
        "  - **Interpretation**: Examine the histograms to identify the distribution of momentum values, their concentration, and any potential outliers.\n",
        "\n",
        "### <span style=\"color:#d62728\">7.3. Generating Buy and Sell Signals</span>\n",
        "\n",
        "- **Objective**: Generate trading signals based on the computed momentum indicators to implement a trading strategy.\n",
        "- **Actions**:\n",
        "  - **Define Signal Generation**: Create new columns in the dataset to represent buy and sell signals based on momentum values.\n",
        "    - **Signal Criteria**: Assign a value of `1` for buy signals and `-1` for sell signals if the momentum is positive or negative, respectively.\n",
        "  - **Apply Signal Generation**: Compute signals for each period and add them as new columns in the dataset.\n",
        "  - **Result**: The dataset now includes columns representing buy and sell signals based on the defined criteria.\n",
        "\n",
        "### <span style=\"color:#9467bd\">7.4. Plotting Buy and Sell Signals</span>\n",
        "\n",
        "- **Objective**: Visualize buy and sell signals to assess the effectiveness of the momentum trading strategy.\n",
        "- **Actions**:\n",
        "  - **Plot Signals**: Create a line plot showing 'Close' prices along with buy and sell signals for a selected period (e.g., 90 days).\n",
        "    - **Buy Signals**: Represented by upward-pointing triangles.\n",
        "    - **Sell Signals**: Represented by downward-pointing triangles.\n",
        "  - **Interpretation**: Review the plot to evaluate the performance of the trading strategy and the alignment of signals with price movements."
      ],
      "metadata": {
        "id": "LBRYzCGm33sd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Momentum Trading Strategy"
      ],
      "metadata": {
        "id": "rqjfqnlzvLrQ"
      },
      "execution_count": 58,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculate the Momentum Indicator (past 3 to 12 months returns)"
      ],
      "metadata": {
        "id": "nmJtimOpvLvZ"
      },
      "execution_count": 59,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def calculate_momentum(data, period):  # Define a function to calculate momentum\n",
        "    return data['Close'].diff(period)  # Calculate the difference in 'Close' prices over the specified period"
      ],
      "metadata": {
        "id": "t3PNYdeYvLxc"
      },
      "execution_count": 60,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "kp3bW0rHvLzm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Adding momentum columns for 3, 6, 9, and 12 months (90, 180, 270, 360 days)"
      ],
      "metadata": {
        "id": "VNdVu_cLvL1z"
      },
      "execution_count": 61,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "periods = [90, 180, 270, 360]  # List of periods for momentum calculation"
      ],
      "metadata": {
        "id": "adM8K5dDvGbn"
      },
      "execution_count": 62,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for period in periods:  # Loop through each period\n",
        "    data[f'Momentum_{period}'] = calculate_momentum(data, period)  # Calculate and add momentum column for the period\n"
      ],
      "metadata": {
        "id": "HKWgfZ_mvGeo"
      },
      "execution_count": 63,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "qwljA3SWvGhf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "HBOCNWP8ylxS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Momentum Indicator Distribution"
      ],
      "metadata": {
        "id": "OppGY1zyyl0d"
      },
      "execution_count": 64,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(14, 7))  # Set figure size for the plot\n",
        "for period in periods:  # Loop through each period\n",
        "    sns.histplot(data[f'Momentum_{period}'], kde=True, label=f'Momentum {period} days')  # Plot histogram of momentum indicators\n",
        "plt.title('Distribution of Momentum Indicators')  # Set the title of the plot\n",
        "plt.xlabel('Momentum')  # Set the x-axis label\n",
        "plt.ylabel('Frequency')  # Set the y-axis label\n",
        "plt.legend()  # Show legend\n",
        "plt.show()  # Display the plot"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 523
        },
        "id": "1-ROeAJMyl3I",
        "outputId": "d82283b5-3e8e-4f6d-cd09-5bc958990129"
      },
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "lCXgVAv0vGkO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Z6QBrdgmyvHq"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "NZSivy3QyvK5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Strategy: Buy if momentum is positive, sell if momentum is negative"
      ],
      "metadata": {
        "id": "4F7inwDuvGne"
      },
      "execution_count": 66,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for period in periods:  # Loop through each period\n",
        "    data[f'Signal_{period}'] = np.where(data[f'Momentum_{period}'] > 0, 1, -1)  # Generate buy (1) and sell (-1) signals based on momentum\n"
      ],
      "metadata": {
        "id": "5hfPp0SZvGqe"
      },
      "execution_count": 67,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "ah1NLh20vGtn"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Uc41J5xjvGxG"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Plotting the buy and sell signals for a selected period (e.g., 3 months)"
      ],
      "metadata": {
        "id": "A0osg1rxvGz3"
      },
      "execution_count": 68,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "selected_period = 90  # Define the selected period for plotting\n",
        "plt.figure(figsize=(14, 7))  # Set figure size for the plot\n",
        "plt.plot(data['Date'], data['Close'], label='Close Price')  # Plot 'Close' prices\n",
        "plt.plot(data[data[f'Signal_{selected_period}'] == 1]['Date'], data[data[f'Signal_{selected_period}'] == 1]['Close'], '^', markersize=10, color='g', alpha=0.7, label='Buy Signal')  # Plot buy signals\n",
        "plt.plot(data[data[f'Signal_{selected_period}'] == -1]['Date'], data[data[f'Signal_{selected_period}'] == -1]['Close'], 'v', markersize=10, color='r', alpha=0.7, label='Sell Signal')  # Plot sell signals\n",
        "plt.title(f'Momentum Trading Strategy Buy and Sell Signals (Period: {selected_period} days)')  # Set the title of the plot\n",
        "plt.xlabel('Date')  # Set the x-axis label\n",
        "plt.ylabel('Close Price')  # Set the y-axis label\n",
        "plt.legend()  # Show legend\n",
        "plt.show()  # Display the plot"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 520
        },
        "id": "iIB50wbavG2l",
        "outputId": "d8b9b616-ffbc-4372-d2c9-46c17b06160e"
      },
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "uzTKiOo6vG93"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "k9A1N1rSvHAu"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "G9rgTLf2vHDh"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## <span style=\"color:#1f77b4\">8. Calculating MACD (Moving Average Convergence Divergence)</span>\n",
        "\n",
        "### <span style=\"color:#ff7f0e\">8.1. Introduction to MACD</span>\n",
        "\n",
        "- **Objective**: Calculate the MACD (Moving Average Convergence Divergence) to further enhance trading signals.\n",
        "- **Description**: The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of a security's price. It consists of:\n",
        "  - **MACD Line**: Difference between the 12-day EMA (Exponential Moving Average) and the 26-day EMA.\n",
        "  - **Signal Line**: 9-day EMA of the MACD Line.\n",
        "  - **Histogram**: Difference between the MACD Line and the Signal Line.\n",
        "\n",
        "### <span style=\"color:#2ca02c\">8.2. Calculating MACD Components</span>\n",
        "\n",
        "- **Objective**: Compute the MACD line and Signal line to analyze trend and momentum.\n",
        "- **Actions**:\n",
        "  - **Calculate EMAs**: Compute the 12-day and 26-day EMAs of the 'Close' price.\n",
        "    - **12-day EMA**: `data['EMA_12'] = data['Close'].ewm(span=12, adjust=False).mean()`\n",
        "    - **26-day EMA**: `data['EMA_26'] = data['Close'].ewm(span=26, adjust=False).mean()`\n",
        "  - **Compute MACD Line**: Subtract the 26-day EMA from the 12-day EMA.\n",
        "    - **Formula**: `data['MACD'] = data['EMA_12'] - data['EMA_26']`\n",
        "  - **Calculate Signal Line**: Compute the 9-day EMA of the MACD Line.\n",
        "    - **Formula**: `data['Signal'] = data['MACD'].ewm(span=9, adjust=False).mean()`\n",
        "\n",
        "### <span style=\"color:#d62728\">8.3. Plotting MACD and Signal Line</span>\n",
        "\n",
        "- **Objective**: Visualize the MACD Line and Signal Line to identify potential trading signals.\n",
        "- **Actions**:\n",
        "  - **Plot Lines**: Create a line plot to show the MACD Line and Signal Line over time.\n",
        "    - **MACD Line**: Plotted in blue.\n",
        "    - **Signal Line**: Plotted in red.\n",
        "  - **Title and Labels**: Add titles and labels to the plot for clarity.\n",
        "    - **Title**: \"MACD and Signal Line\"\n",
        "    - **X-axis**: 'Date'\n",
        "    - **Y-axis**: 'Value'\n",
        "  - **Interpretation**: Analyze the plot to identify crossovers and trends:\n",
        "    - **Buy Signal**: When the MACD Line crosses above the Signal Line.\n",
        "    - **Sell Signal**: When the MACD Line crosses below the Signal Line."
      ],
      "metadata": {
        "id": "5Mwgh1Y54I-D"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculate MACD"
      ],
      "metadata": {
        "id": "FTi3WS7zzToy"
      },
      "execution_count": 70,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data['EMA_12'] = data['Close'].ewm(span=12, adjust=False).mean()  # Calculate the 12-day EMA"
      ],
      "metadata": {
        "id": "csjJRm53zTse"
      },
      "execution_count": 71,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data['EMA_26'] = data['Close'].ewm(span=26, adjust=False).mean()  # Calculate the 26-day EMA"
      ],
      "metadata": {
        "id": "6MIWmX_PzTvf"
      },
      "execution_count": 72,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data['MACD'] = data['EMA_12'] - data['EMA_26']  # Calculate MACD line"
      ],
      "metadata": {
        "id": "Cl56gaTuzTyO"
      },
      "execution_count": 73,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data['Signal'] = data['MACD'].ewm(span=9, adjust=False).mean()  # Calculate Signal line"
      ],
      "metadata": {
        "id": "zpu-MVh4zfMs"
      },
      "execution_count": 74,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "3979mufmzfVx"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "xXP4Wh1IzfYo"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot MACD and Signal Line"
      ],
      "metadata": {
        "id": "TLJ1y4LQzfbY"
      },
      "execution_count": 75,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(14, 7))  # Set figure size for the plot\n",
        "plt.plot(data['Date'], data['MACD'], label='MACD', color='blue')  # Plot MACD line\n",
        "plt.plot(data['Date'], data['Signal'], label='Signal Line', color='red')  # Plot Signal line\n",
        "plt.title('MACD and Signal Line')  # Set the title of the plot\n",
        "plt.xlabel('Date')  # Set the x-axis label\n",
        "plt.ylabel('Value')  # Set the y-axis label\n",
        "plt.legend()  # Show legend\n",
        "plt.show()  # Display the plot"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 520
        },
        "id": "ThCGk3cgzfe5",
        "outputId": "ef5ccec7-3451-4750-bad8-6b156ec42833"
      },
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "YDoYmheKzrfC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "3_IBZR_wzrjJ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "gKlU-Ogazrnc"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## <span style=\"color:#1f77b4\">9. Displaying Final Dataset with Signals</span>\n",
        "\n",
        "### <span style=\"color:#ff7f0e\">9.1. Objective</span>\n",
        "\n",
        "- **Purpose**: Review the final dataset after adding momentum indicators and trading signals.\n",
        "- **Goal**: Ensure all computed indicators and signals are correctly added and inspect the first few rows of the final dataset.\n",
        "\n",
        "### <span style=\"color:#2ca02c\">9.2. Displaying the Dataset</span>\n",
        "\n",
        "- **Objective**: Print the first few rows of the dataset to verify the inclusion of new columns and check the accuracy of the calculations.\n",
        "- **Actions**:\n",
        "  - **Print Dataset**: Use `data.head()` to display the initial rows of the dataset.\n",
        "    - **Purpose**: Verify the correct addition of momentum indicators and signals for trading decisions.\n",
        "    - **Review Columns**: Ensure that columns such as 'Momentum_90', 'Momentum_180', 'Momentum_270', 'Momentum_360', 'Signal_90', 'Signal_180', 'Signal_270', 'Signal_360', 'EMA_12', 'EMA_26', 'MACD', and 'Signal' are present.\n",
        "\n",
        "### <span style=\"color:#d62728\">9.3. Interpretation</span>\n",
        "\n",
        "- **Objective**: Analyze the final dataset to understand the effect of added indicators and signals on trading strategy.\n",
        "- **Actions**:\n",
        "  - **Check Indicators**: Review the calculated momentum values and MACD indicators.\n",
        "  - **Verify Signals**: Confirm that the buy and sell signals align with the computed momentum and MACD values.\n",
        "  - **Analyze Data**: Use this dataset to make informed decisions or perform further analysis based on the calculated indicators.\n",
        "\n",
        "### <span style=\"color:#1f77b4\">9.4. Next Steps</span>\n",
        "\n",
        "- **Save Dataset**: Export the final dataset to a CSV file for future reference or additional analysis.\n",
        "  - **File Path**: `'/content/momentum_trading_strategy.csv'`\n",
        "  - **Action**: Save the dataset using `data.to_csv()` to preserve the results of the analysis."
      ],
      "metadata": {
        "id": "ziUu-sMj4Scb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Display final dataset with signals"
      ],
      "metadata": {
        "id": "kXpQazufvHGO"
      },
      "execution_count": 77,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"\\nDataset with Momentum and Signals:\")  # Print header for final dataset\n",
        "print(data.head())  # Print the first few rows of the dataset with momentum and signals"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MzkcD_izvHJG",
        "outputId": "47aecdcf-f633-4eff-fdfe-6aadcf0b033c"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Dataset with Momentum and Signals:\n",
            "                 Date      High       Low      Open     Close    Volume  \\\n",
            "0 2018-12-15 23:59:59 -1.238936 -1.255472 -1.205239 -1.264309 -0.890888   \n",
            "1 2018-12-16 23:59:59 -1.292366 -1.303672 -1.259367 -1.309679 -0.899180   \n",
            "2 2018-12-17 23:59:59 -1.309964 -1.366597 -1.306456 -1.329591 -0.902270   \n",
            "3 2018-12-18 23:59:59 -1.298764 -1.317358 -1.326859 -1.287283 -0.897741   \n",
            "4 2018-12-19 23:59:59 -0.973578 -1.268371 -1.285537 -1.181476 -0.889809   \n",
            "\n",
            "   Marketcap  Year  Month  Day  ...  Momentum_270  Momentum_360  Signal_90  \\\n",
            "0  -1.093497  2018     12   15  ...           NaN           NaN         -1   \n",
            "1  -1.093497  2018     12   16  ...           NaN           NaN         -1   \n",
            "2  -1.078981  2018     12   17  ...           NaN           NaN         -1   \n",
            "3  -1.076743  2018     12   18  ...           NaN           NaN         -1   \n",
            "4  -1.071541  2018     12   19  ...           NaN           NaN         -1   \n",
            "\n",
            "   Signal_180  Signal_270  Signal_360    EMA_12    EMA_26      MACD    Signal  \n",
            "0          -1          -1          -1 -1.264309 -1.264309  0.000000  0.000000  \n",
            "1          -1          -1          -1 -1.271289 -1.267670 -0.003619 -0.000724  \n",
            "2          -1          -1          -1 -1.280259 -1.272257 -0.008002 -0.002179  \n",
            "3          -1          -1          -1 -1.281339 -1.273370 -0.007970 -0.003338  \n",
            "4          -1          -1          -1 -1.265976 -1.266563  0.000587 -0.002553  \n",
            "\n",
            "[5 rows x 22 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "14ON_tdCvHML"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Sydql76rvHPH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Save the final dataset to CSV"
      ],
      "metadata": {
        "id": "9TZf-LkyvHR7"
      },
      "execution_count": 79,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.to_csv('/content/momentum_trading_strategy.csv', index=False)  # Save the final dataset with momentum and signals to a CSV file\n"
      ],
      "metadata": {
        "id": "4K7ED5TSvHUz"
      },
      "execution_count": 80,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "zgK4uW1DvHXk"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "khLuta0NoJLv"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "PnzcroSG4W6a"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## <span style=\"color:#1f77b4\">10. Conclusions</span>\n",
        "\n",
        "### <span style=\"color:#ff7f0e\">10.1. Summary of Findings</span>\n",
        "\n",
        "- **Data Insights**:\n",
        "  - The **Momentum Indicators** provide valuable insights into price trends over different periods, reflecting the price momentum and potential trading opportunities.\n",
        "  - **MACD** (Moving Average Convergence Divergence) and its **Signal Line** offer a comprehensive view of the trend strength and direction, which are crucial for making informed trading decisions.\n",
        "\n",
        "- **Trading Signals**:\n",
        "  - The **Buy and Sell Signals** generated based on momentum indicators and MACD values help in identifying potential entry and exit points for trades.\n",
        "  - The signals indicate **buy** opportunities when momentum is positive and **sell** opportunities when momentum is negative, guiding trading strategies effectively.\n",
        "\n",
        "### <span style=\"color:#2ca02c\">10.2. Effectiveness of the Momentum Strategy</span>\n",
        "\n",
        "- **Strategy Performance**:\n",
        "  - The momentum trading strategy using various periods (3, 6, 9, and 12 months) and MACD successfully highlights potential trading signals based on historical price movements.\n",
        "  - The effectiveness of the strategy can be further evaluated by backtesting it against historical data to measure its profitability and reliability.\n",
        "\n",
        "- **Visualization**:\n",
        "  - The visualizations, including **price trends**, **volume of trades**, **market capitalization**, and **momentum distributions**, provide a clear understanding of market behavior and trading signals.\n",
        "  - The **MACD and Signal Line** plot visually demonstrates the alignment and divergences between the MACD and Signal Line, aiding in trend analysis.\n",
        "\n",
        "### <span style=\"color:#d62728\">10.3. Recommendations</span>\n",
        "\n",
        "- **Further Analysis**:\n",
        "  - Perform backtesting of the trading strategy to validate its effectiveness and refine the approach based on historical performance.\n",
        "  - Investigate other technical indicators and combine them with momentum analysis to enhance the trading strategy.\n",
        "\n",
        "- **Optimization**:\n",
        "  - Optimize the strategy parameters (e.g., periods for momentum calculations) based on empirical results to improve trading performance.\n",
        "  - Consider incorporating additional market data or features to enhance the robustness of the trading signals.\n",
        "\n",
        "- **Documentation**:\n",
        "  - Document the findings, methodology, and results comprehensively to facilitate future reference and potential improvements.\n",
        "  - Share insights and recommendations with stakeholders or within trading communities to contribute to collective knowledge and strategy development.\n",
        "\n",
        "### <span style=\"color:#1f77b4\">10.4. Future Work</span>\n",
        "\n",
        "- **Enhanced Models**:\n",
        "  - Explore advanced models and machine learning algorithms to predict market movements and refine trading signals.\n",
        "  - Develop and test automated trading systems based on the momentum strategy and MACD indicators for real-time trading applications.\n",
        "\n",
        "- **Integration**:\n",
        "  - Integrate the momentum trading strategy with trading platforms or financial analysis tools to apply insights directly in trading environments.\n",
        "  - Collaborate with financial analysts and traders to validate and adapt the strategy for different market conditions and assets."
      ],
      "metadata": {
        "id": "kVEL0Tvb4XVb"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "ykFNJyTy4V_7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "fRUO1dCT4WEM"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}