Stock Market Analysis - Class.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2cf97b45",
   "metadata": {},
   "source": [
    "# Exploring Stock Market Data\n",
    "\n",
    "### In this project, I'm analyzing stock market data for the WIG20 index in August 2023, while creating a reusable Python Class.\n",
    "\n",
    "###### I've obtained the data from an online source:\n",
    "https://stooq.com/q/d/?s=wig20&c=0&d1=20230801&d2=20230831"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b71a2e47",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing necessary libraries\n",
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as patches\n",
    "import matplotlib.ticker as ticker\n",
    "\n",
    "# Building the StockMarketAnalysis Class\n",
    "class StockMarketAnalysis:\n",
    "    \n",
    "    def __init__(self, name, data_file):\n",
    "        \"\"\"\n",
    "        Initialize the StockMarketAnalysis class with data from a CSV file.\n",
    "        \"\"\"\n",
    "        self.name = name\n",
    "        self.data = pd.read_csv(data_file,\n",
    "                                usecols = [\"Data\",\n",
    "                                         \"Otwarcie\",\n",
    "                                         \"Najwyzszy\",\n",
    "                                         \"Najnizszy\",\n",
    "                                         \"Zamkniecie\",\n",
    "                                         \"Wolumen\"\n",
    "                                        ]\n",
    "                               )\n",
    "        self.data.columns = [\"Date\",\n",
    "                             \"Open\",\n",
    "                             \"High\",\n",
    "                             \"Low\",\n",
    "                             \"Close\",\n",
    "                             \"Volume\"\n",
    "                            ]\n",
    "        self.data[\"Date\"] = pd.to_datetime(self.data[\"Date\"])\n",
    "        self.data[\"Weekday\"] = self.data[\"Date\"].apply(lambda x: x.strftime(\"%A\"))\n",
    "        self.data.set_index(\"Date\", inplace = True)\n",
    "\n",
    "    def calculate_median_spread(self):\n",
    "        \"\"\"\n",
    "        Calculate the median spread between high and low prices.\n",
    "        \"\"\"\n",
    "        high_median = np.median(self.data[\"High\"])\n",
    "        low_median = np.median(self.data[\"Low\"])\n",
    "        spread_median = high_median - low_median\n",
    "        return round(spread_median, 2)\n",
    "\n",
    "    def calculate_open_std(self):\n",
    "        \"\"\"\n",
    "        Calculate the standard deviation of open prices.\n",
    "        \"\"\"\n",
    "        open_std = np.std(self.data[\"Open\"])\n",
    "        return round(open_std, 2)\n",
    "\n",
    "    def format_y_labels(self, value, pos):\n",
    "        \"\"\"\n",
    "        Format y-axis labels for thousands, millions, and billions.\n",
    "        \"\"\"\n",
    "        if value >= 1e9:\n",
    "            return f\"{value / 1e9:.2f}B\"\n",
    "        elif value >= 1e6:\n",
    "            return f\"{value / 1e6:.2f}M\"\n",
    "        elif value >= 1e3:\n",
    "            return f\"{value / 1e3:.2f}K\"\n",
    "        return str(value)\n",
    "\n",
    "    def plot_candlestick_chart(self, ax = None):\n",
    "        \"\"\"\n",
    "        Plot a candlestick chart.\n",
    "        \"\"\"\n",
    "        if ax is None:\n",
    "            fig, ax = plt.subplots(figsize = (10, 5))\n",
    "        \n",
    "        # Style and colors\n",
    "        col_up = '#4daf4a'  # Green\n",
    "        col_down = '#e41a1c'  # Red\n",
    "        alpha = 0.9\n",
    "        width = 0.4\n",
    "        shadow_width = 0.04\n",
    "        \n",
    "        # Plotting up price movements\n",
    "        high = self.data[self.data['Close'] >= self.data['Open']]\n",
    "        ax.bar(high.index,\n",
    "               high['Close'] - high['Open'],\n",
    "               width,\n",
    "               bottom = high['Open'],\n",
    "               color = col_up,\n",
    "               alpha = alpha\n",
    "              )\n",
    "        ax.bar(high.index,\n",
    "               high['High'] - high['Close'],\n",
    "               shadow_width,\n",
    "               bottom = high['Close'],\n",
    "               color = col_up,\n",
    "               alpha = alpha\n",
    "              )\n",
    "        ax.bar(high.index,\n",
    "               high['Low'] - high['Open'],\n",
    "               shadow_width,\n",
    "               bottom = high['Open'],\n",
    "               color = col_up,\n",
    "               alpha = alpha\n",
    "              )\n",
    "        \n",
    "        # Plotting down price movements\n",
    "        low = self.data[self.data['Close'] < self.data['Open']]\n",
    "        ax.bar(low.index,\n",
    "               low['Close'] - low['Open'],\n",
    "               width,\n",
    "               bottom = low['Open'],\n",
    "               color = col_down,\n",
    "               alpha = alpha\n",
    "              )\n",
    "        ax.bar(low.index,\n",
    "               low['High'] - low['Open'],\n",
    "               shadow_width,\n",
    "               bottom = low['Open'],\n",
    "               color = col_down,\n",
    "               alpha = alpha\n",
    "              )\n",
    "        ax.bar(low.index,\n",
    "               low['Low'] - low['Close'],\n",
    "               shadow_width,\n",
    "               bottom = low['Close'],\n",
    "               color = col_down,\n",
    "               alpha = alpha\n",
    "              )\n",
    "\n",
    "        ax.set_title(\"Candlestick Chart\")\n",
    "        ax.grid(True)\n",
    "\n",
    "        # Format y-axis labels using FuncFormatter\n",
    "        ax.yaxis.set_major_formatter(ticker.FuncFormatter(self.format_y_labels))\n",
    "\n",
    "        # Rotate x-axis tick labels\n",
    "        ax.tick_params(axis = 'x', rotation = 45)\n",
    "\n",
    "    def plot_candlestick_chart_vs_volume(self, ax = None):\n",
    "        \"\"\"\n",
    "        Plot a candlestick chart with a volume bar chart on a secondary y-axis.\n",
    "        \"\"\"\n",
    "        if ax is None:\n",
    "            fig, ax = plt.subplots(figsize = (10, 5))\n",
    "\n",
    "        # Create a secondary y-axis (right) for volume\n",
    "        ax_volume = ax.twinx()\n",
    "        \n",
    "        # Style and colors\n",
    "        width = 0.4\n",
    "        shadow_width = 0.04\n",
    "        \n",
    "        # Plotting up price movements\n",
    "        high = self.data[self.data['Close'] >= self.data['Open']]\n",
    "        ax.bar(high.index,\n",
    "               high['Close'] - high['Open'],\n",
    "               width,\n",
    "               bottom = high['Open'],\n",
    "               color = 'black'\n",
    "              )\n",
    "        ax.bar(high.index,\n",
    "               high['High'] - high['Close'],\n",
    "               shadow_width,\n",
    "               bottom = high['Close'],\n",
    "               color = 'black'\n",
    "              )\n",
    "        ax.bar(high.index,\n",
    "               high['Low'] - high['Open'],\n",
    "               shadow_width,\n",
    "               bottom = high['Open'],\n",
    "               color = 'black'\n",
    "              )\n",
    "        \n",
    "        # Plotting down price movements\n",
    "        low = self.data[self.data['Close'] < self.data['Open']]\n",
    "        ax.bar(low.index,\n",
    "               low['Close'] - low['Open'],\n",
    "               width, bottom = low['Open'],\n",
    "               color = 'white',\n",
    "               edgecolor = 'black'\n",
    "              )\n",
    "        ax.bar(low.index,\n",
    "               low['High'] - low['Open'],\n",
    "               shadow_width,\n",
    "               bottom = low['Open'],\n",
    "               color = 'white',\n",
    "               edgecolor = 'black'\n",
    "              )\n",
    "        ax.bar(low.index,\n",
    "               low['Low'] - low['Close'],\n",
    "               shadow_width,\n",
    "               bottom = low['Close'],\n",
    "               color = 'white',\n",
    "               edgecolor = 'black'\n",
    "              )\n",
    "\n",
    "        ax.set_title(\"Traditional Candlestick Chart vs Volume\")\n",
    "        ax.grid(True)\n",
    "\n",
    "        # Format y-axis labels for the candlestick chart\n",
    "        ax.yaxis.set_major_formatter(ticker.FuncFormatter(self.format_y_labels))\n",
    "\n",
    "        # Rotate x-axis tick labels\n",
    "        ax.tick_params(axis = 'x', rotation = 45)\n",
    "\n",
    "        # Plot the volume as a bar chart on the secondary y-axis\n",
    "        volume_colors = ['g' if c >= o else 'r'\n",
    "                         for c, o in zip(self.data['Close'],\n",
    "                                         self.data['Open']\n",
    "                                        )\n",
    "                        ]\n",
    "        ax_volume.bar(self.data.index,\n",
    "                      self.data['Volume'],\n",
    "                      width = 0.1,\n",
    "                      color = volume_colors,\n",
    "                      alpha = 0.3\n",
    "                     )\n",
    "        ax_volume.set_ylabel(\"\",\n",
    "                             color = 'black'\n",
    "                            )\n",
    "        ax_volume.tick_params(axis = 'y',\n",
    "                              labelcolor = 'black'\n",
    "                             )\n",
    "        ax_volume.yaxis.set_major_formatter(ticker.FuncFormatter(self.format_y_labels))\n",
    "\n",
    "    def plot_close_price_evolution(self, ax = None):\n",
    "        \"\"\"\n",
    "        Plot the evolution of close prices with shaded price range.\n",
    "        \"\"\"\n",
    "        if ax is None:\n",
    "            fig, ax = plt.subplots(figsize = (10, 5))\n",
    "\n",
    "            # Format y-axis labels using FuncFormatter\n",
    "            ax.yaxis.set_major_formatter(ticker.FuncFormatter(self.format_y_labels))\n",
    "\n",
    "        col_spread = '#f781bf'  # Pink\n",
    "        col_close = '#984ea3'  # Purple\n",
    "\n",
    "        ax.plot(self.data.index,\n",
    "                self.data['Close'],\n",
    "                color = col_close,\n",
    "                alpha = 0.5,\n",
    "                label = \"Close\"\n",
    "               )\n",
    "        ax.plot(self.data.index,\n",
    "                self.data['High'],\n",
    "                color = col_spread,\n",
    "                linestyle = \":\",\n",
    "                label = \"High\"\n",
    "               )\n",
    "        ax.plot(self.data.index,\n",
    "                self.data['Low'],\n",
    "                color = col_spread,\n",
    "                linestyle = \":\",\n",
    "                label = \"Low\"\n",
    "               )\n",
    "        ax.fill_between(self.data.index,\n",
    "                        self.data['High'],\n",
    "                        self.data['Low'],\n",
    "                        color = col_spread,\n",
    "                        alpha = 0.1\n",
    "                       )\n",
    "        \n",
    "        # Format y-axis tick labels using the format_y_labels function\n",
    "        ax.get_yaxis().set_major_formatter(ticker.FuncFormatter(self.format_y_labels))\n",
    "\n",
    "        ax.set_title(\"Close Price Evolution\")\n",
    "        ax.grid(True)\n",
    "\n",
    "        # Rotate x-axis tick labels\n",
    "        ax.tick_params(axis = 'x', rotation = 45)\n",
    "\n",
    "    def plot_volume_distribution(self, ax = None):\n",
    "        \"\"\"\n",
    "        Plot the distribution of trading volume per weekday.\n",
    "        \"\"\"\n",
    "        if ax is None:\n",
    "            fig, ax = plt.subplots(figsize = (10, 5))\n",
    "\n",
    "        weekdays = [\"Monday\",\n",
    "                    \"Tuesday\",\n",
    "                    \"Wednesday\",\n",
    "                    \"Thursday\",\n",
    "                    \"Friday\"\n",
    "                   ]\n",
    "\n",
    "        # Group data by weekday and calculate the total volume for each weekday\n",
    "        volume_by_weekday = self.data.groupby(\"Weekday\")[\"Volume\"].sum().reindex(weekdays)\n",
    "\n",
    "        # Plot a histogram of the volume distribution per weekday\n",
    "        volume_by_weekday.plot(kind = \"bar\",\n",
    "                               ax = ax,\n",
    "                               color = 'blue',\n",
    "                               alpha = 0.5\n",
    "                              )\n",
    "\n",
    "        # Format y-axis tick labels using the format_y_labels function\n",
    "        ax.get_yaxis().set_major_formatter(ticker.FuncFormatter(self.format_y_labels))\n",
    "\n",
    "        ax.set_title(\"Volume Distribution per Weekday\")\n",
    "        ax.set_xlabel(\"\")\n",
    "        ax.set_ylabel(\"\")\n",
    "        ax.yaxis.grid(True)\n",
    "\n",
    "        # Rotate x-axis tick labels\n",
    "        ax.tick_params(axis = 'x', rotation = 0)\n",
    "\n",
    "        # Add white lines between grid lines\n",
    "        for position in ax.get_ygridlines():\n",
    "            position.set_color('white')\n",
    "            position.set_linewidth(2)\n",
    "            \n",
    "    def plot_combined_graph(self, plot_type = \"both\"):\n",
    "        \"\"\"\n",
    "        Plot a combination of candlestick, close price, and volume graphs.\n",
    "        \"\"\"\n",
    "        \n",
    "        # Creating a 2x2 grid of subplots\n",
    "        fig, axs = plt.subplots(2, 2, figsize = (14, 10))\n",
    "\n",
    "        if plot_type == \"candlestick\" or plot_type == \"both\":\n",
    "            self.plot_candlestick_chart(ax = axs[0, 0])\n",
    "        if plot_type == \"close_price\" or plot_type == \"both\":\n",
    "            self.plot_close_price_evolution(ax = axs[0, 1])\n",
    "            # Adding y-axis labels for Close Price Evolution on the right side\n",
    "            axs[0, 1].yaxis.tick_right()\n",
    "            axs[0, 1].set_ylabel(\"\", rotation = 270, labelpad = 20)\n",
    "        if plot_type == \"candlestick_vs_volume\" or plot_type == \"both\":\n",
    "            self.plot_candlestick_chart_vs_volume(ax = axs[1, 0])\n",
    "        if plot_type == \"volume_distribution\" or plot_type == \"both\":\n",
    "            self.plot_volume_distribution(ax = axs[1, 1])\n",
    "            # Adding y-axis labels for Volume Distribution on the right side\n",
    "            axs[1, 1].yaxis.tick_right()\n",
    "            axs[1, 1].set_ylabel(\"\", rotation = 270, labelpad = 20)\n",
    "\n",
    "        # Major Title\n",
    "        # Finally, the major title provides an overall analysis context.\n",
    "        fig.suptitle(self.name, fontsize = 16)\n",
    "\n",
    "        # Adjusting layout with a wider gap between the left and right side charts\n",
    "        plt.tight_layout(rect = [0, 0.03, 1, 0.95])\n",
    "    \n",
    "        plt.show()\n",
    "\n",
    "# Example usage:\n",
    "# analysis = StockMarketAnalysis(\"Stock Data\", \"your_data.csv\")\n",
    "# analysis.plot_combined_graph(plot_type = \"both\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85318c27",
   "metadata": {},
   "source": [
    "###### First, let's create an instance of the class we just created:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "829fff36",
   "metadata": {},
   "outputs": [],
   "source": [
    "wig20_aug = StockMarketAnalysis(\"WIG20 - August 2023\",\n",
    "                                os.path.join(os.getcwd(),\n",
    "                                             \"Downloads\",\n",
    "                                             \"wig20_d.csv\"\n",
    "                                            )\n",
    "                               )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96152873",
   "metadata": {},
   "source": [
    "###### Now, we can explore the data and calculate some basic statistics:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9650a708",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'WIG20 - August 2023'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wig20_aug.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1ca6d605",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(wig20_aug.data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41125f22",
   "metadata": {},
   "source": [
    "###### It is a data frame object, which means we can use standard pandas functions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "03f48821",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Weekday</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-08-01</th>\n",
       "      <td>2193.35</td>\n",
       "      <td>2193.77</td>\n",
       "      <td>2174.65</td>\n",
       "      <td>2188.77</td>\n",
       "      <td>13747540</td>\n",
       "      <td>Tuesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-02</th>\n",
       "      <td>2177.36</td>\n",
       "      <td>2177.36</td>\n",
       "      <td>2142.82</td>\n",
       "      <td>2142.82</td>\n",
       "      <td>14883443</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-03</th>\n",
       "      <td>2139.83</td>\n",
       "      <td>2145.01</td>\n",
       "      <td>2120.93</td>\n",
       "      <td>2141.81</td>\n",
       "      <td>13001280</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-04</th>\n",
       "      <td>2152.32</td>\n",
       "      <td>2173.40</td>\n",
       "      <td>2152.32</td>\n",
       "      <td>2169.73</td>\n",
       "      <td>10052286</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-07</th>\n",
       "      <td>2167.78</td>\n",
       "      <td>2168.37</td>\n",
       "      <td>2145.93</td>\n",
       "      <td>2152.17</td>\n",
       "      <td>9919087</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-08</th>\n",
       "      <td>2148.86</td>\n",
       "      <td>2148.86</td>\n",
       "      <td>2106.44</td>\n",
       "      <td>2113.37</td>\n",
       "      <td>15746204</td>\n",
       "      <td>Tuesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-09</th>\n",
       "      <td>2099.14</td>\n",
       "      <td>2118.52</td>\n",
       "      <td>2089.72</td>\n",
       "      <td>2096.43</td>\n",
       "      <td>17771305</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-10</th>\n",
       "      <td>2097.72</td>\n",
       "      <td>2143.51</td>\n",
       "      <td>2097.72</td>\n",
       "      <td>2130.58</td>\n",
       "      <td>16696381</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-11</th>\n",
       "      <td>2124.08</td>\n",
       "      <td>2124.08</td>\n",
       "      <td>2098.84</td>\n",
       "      <td>2105.31</td>\n",
       "      <td>13284271</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-14</th>\n",
       "      <td>2098.01</td>\n",
       "      <td>2104.81</td>\n",
       "      <td>2082.18</td>\n",
       "      <td>2087.01</td>\n",
       "      <td>9377568</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-16</th>\n",
       "      <td>2075.72</td>\n",
       "      <td>2075.87</td>\n",
       "      <td>2039.46</td>\n",
       "      <td>2044.35</td>\n",
       "      <td>18511683</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-17</th>\n",
       "      <td>2043.10</td>\n",
       "      <td>2053.25</td>\n",
       "      <td>2009.19</td>\n",
       "      <td>2021.15</td>\n",
       "      <td>13024982</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-18</th>\n",
       "      <td>2014.48</td>\n",
       "      <td>2017.46</td>\n",
       "      <td>1997.11</td>\n",
       "      <td>2014.55</td>\n",
       "      <td>13127530</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-21</th>\n",
       "      <td>2011.29</td>\n",
       "      <td>2024.31</td>\n",
       "      <td>2002.05</td>\n",
       "      <td>2015.21</td>\n",
       "      <td>10659612</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-22</th>\n",
       "      <td>2020.25</td>\n",
       "      <td>2031.10</td>\n",
       "      <td>2005.48</td>\n",
       "      <td>2009.59</td>\n",
       "      <td>11819458</td>\n",
       "      <td>Tuesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-23</th>\n",
       "      <td>2011.24</td>\n",
       "      <td>2018.61</td>\n",
       "      <td>1989.00</td>\n",
       "      <td>2012.34</td>\n",
       "      <td>13162916</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-24</th>\n",
       "      <td>2015.70</td>\n",
       "      <td>2036.45</td>\n",
       "      <td>2007.30</td>\n",
       "      <td>2009.58</td>\n",
       "      <td>10166723</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-25</th>\n",
       "      <td>1997.35</td>\n",
       "      <td>2015.39</td>\n",
       "      <td>1986.05</td>\n",
       "      <td>2000.42</td>\n",
       "      <td>10620373</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-28</th>\n",
       "      <td>2010.60</td>\n",
       "      <td>2041.73</td>\n",
       "      <td>2001.87</td>\n",
       "      <td>2039.32</td>\n",
       "      <td>11516362</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-29</th>\n",
       "      <td>2041.90</td>\n",
       "      <td>2050.43</td>\n",
       "      <td>2029.79</td>\n",
       "      <td>2042.08</td>\n",
       "      <td>12644490</td>\n",
       "      <td>Tuesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-30</th>\n",
       "      <td>2043.03</td>\n",
       "      <td>2055.06</td>\n",
       "      <td>2035.91</td>\n",
       "      <td>2049.96</td>\n",
       "      <td>8289758</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-31</th>\n",
       "      <td>2049.89</td>\n",
       "      <td>2054.96</td>\n",
       "      <td>2026.67</td>\n",
       "      <td>2027.38</td>\n",
       "      <td>27831620</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open     High      Low    Close    Volume    Weekday\n",
       "Date                                                               \n",
       "2023-08-01  2193.35  2193.77  2174.65  2188.77  13747540    Tuesday\n",
       "2023-08-02  2177.36  2177.36  2142.82  2142.82  14883443  Wednesday\n",
       "2023-08-03  2139.83  2145.01  2120.93  2141.81  13001280   Thursday\n",
       "2023-08-04  2152.32  2173.40  2152.32  2169.73  10052286     Friday\n",
       "2023-08-07  2167.78  2168.37  2145.93  2152.17   9919087     Monday\n",
       "2023-08-08  2148.86  2148.86  2106.44  2113.37  15746204    Tuesday\n",
       "2023-08-09  2099.14  2118.52  2089.72  2096.43  17771305  Wednesday\n",
       "2023-08-10  2097.72  2143.51  2097.72  2130.58  16696381   Thursday\n",
       "2023-08-11  2124.08  2124.08  2098.84  2105.31  13284271     Friday\n",
       "2023-08-14  2098.01  2104.81  2082.18  2087.01   9377568     Monday\n",
       "2023-08-16  2075.72  2075.87  2039.46  2044.35  18511683  Wednesday\n",
       "2023-08-17  2043.10  2053.25  2009.19  2021.15  13024982   Thursday\n",
       "2023-08-18  2014.48  2017.46  1997.11  2014.55  13127530     Friday\n",
       "2023-08-21  2011.29  2024.31  2002.05  2015.21  10659612     Monday\n",
       "2023-08-22  2020.25  2031.10  2005.48  2009.59  11819458    Tuesday\n",
       "2023-08-23  2011.24  2018.61  1989.00  2012.34  13162916  Wednesday\n",
       "2023-08-24  2015.70  2036.45  2007.30  2009.58  10166723   Thursday\n",
       "2023-08-25  1997.35  2015.39  1986.05  2000.42  10620373     Friday\n",
       "2023-08-28  2010.60  2041.73  2001.87  2039.32  11516362     Monday\n",
       "2023-08-29  2041.90  2050.43  2029.79  2042.08  12644490    Tuesday\n",
       "2023-08-30  2043.03  2055.06  2035.91  2049.96   8289758  Wednesday\n",
       "2023-08-31  2049.89  2054.96  2026.67  2027.38  27831620   Thursday"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wig20_aug.data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10df193d",
   "metadata": {},
   "source": [
    "###### In the next step we are calling our custom made functions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b84ea3d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "27.78"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wig20_aug.calculate_median_spread()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "824b65ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "62.05"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wig20_aug.calculate_open_std()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ae688ff",
   "metadata": {},
   "source": [
    "###### Below we can see a candlestick chart, straight from a trading platform:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "22389d15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wig20_aug.plot_candlestick_chart()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9568e64",
   "metadata": {},
   "source": [
    "###### In the candlestick chart below, we can see more traditional, black and white candles. The plot has two vertical axes, which show the price. and the volume. Green volume bars represent a situation where more people where buing the stock corresponding to this index. Red means the opposite."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "619228ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wig20_aug.plot_candlestick_chart_vs_volume()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f81ecb3",
   "metadata": {},
   "source": [
    "###### In the next plot, we can see a histogram, showing five bins, for each weekday. The bins are sliced along horizontal gridlines, so that the user can compare each with ease."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6519c736",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wig20_aug.plot_volume_distribution()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ea1517d",
   "metadata": {},
   "source": [
    "###### In the line plot below, we can see an artistic evolution of the close price, with an aura created by high and low prices."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "99ae96fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wig20_aug.plot_close_price_evolution()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f65ddff7",
   "metadata": {},
   "source": [
    "###### Last step is to present the combined plot, which showcases all four plots:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "208feb87",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x1000 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wig20_aug.plot_combined_graph()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b35edce",
   "metadata": {},
   "source": [
    "###### Thank You!"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}