Performance_reports.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "773785c4-6f6d-4807-91de-b878dd5977ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import quantstats as qs\n",
    "import yfinance as yf\n",
    "import datetime as dt\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "import pandas_market_calendars as mcal\n",
    "\n",
    "from openbb import obb\n",
    "obb.user.preferences.output_type = \"dataframe\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b52aaf2b-d66d-4fcd-9a17-6c163b2d9d8d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a calendar for the NYSE to represent the US equity market\n",
    "nyse = mcal.get_calendar('NYSE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f5db2d40-d9aa-4c21-8c2d-a80a14590c4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\n\\n#set dates\\ntoday = pd.Timestamp.today()\\n\\n# Check if today is a business day in the NYSE calendar\\n# Get the valid market days within the range of today\\nmarket_days = nyse.valid_days(start_date=today - pd.DateOffset(30), end_date=today)\\n\\ntoday = market_days[-1].date()\\nprint(today)\\n\\nprev_day = market_days[-2].date()\\nprint(prev_day)\\n\\n# Calculate the last business day of the previous month\\nprev_monthend_date = nyse.previous_close(today.replace(day=1)).date()\\nprint(prev_monthend_date)\\n\\n'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "\n",
    "#set dates\n",
    "today = pd.Timestamp.today()\n",
    "\n",
    "# Check if today is a business day in the NYSE calendar\n",
    "# Get the valid market days within the range of today\n",
    "market_days = nyse.valid_days(start_date=today - pd.DateOffset(30), end_date=today)\n",
    "\n",
    "today = market_days[-1].date()\n",
    "print(today)\n",
    "\n",
    "prev_day = market_days[-2].date()\n",
    "print(prev_day)\n",
    "\n",
    "# Calculate the last business day of the previous month\n",
    "prev_monthend_date = nyse.previous_close(today.replace(day=1)).date()\n",
    "print(prev_monthend_date)\n",
    "\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d68a3a76-2b9f-4a83-aa9f-494311addd76",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latest business day: 2024-05-06\n",
      "Previous business day: 2024-05-03\n",
      "Last business day of previous month: 2024-04-30\n",
      "Last business day of the previous year: 2023-12-29\n"
     ]
    }
   ],
   "source": [
    "# Set today's date\n",
    "today = pd.Timestamp.today()\n",
    "\n",
    "# Get the valid market days within the last 30 days up to today\n",
    "market_days = nyse.valid_days(start_date=today - pd.DateOffset(30), end_date=today)\n",
    "\n",
    "# Determine the latest business day\n",
    "latest_business_day = market_days[-1].date()\n",
    "print(\"Latest business day:\", latest_business_day)\n",
    "\n",
    "# Convert latest_business_day to a string in the format 'YYYYMMDD'\n",
    "latest_business_day_str = latest_business_day.strftime('%Y%m%d')\n",
    "\n",
    "# Determine the previous business day\n",
    "if len(market_days) >= 2:\n",
    "    prev_business_day = market_days[-2].date()\n",
    "    print(\"Previous business day:\", prev_business_day)\n",
    "else: prev_business_day = market_days[-1].date() #check this on a weekday\n",
    "\n",
    "# Find the last trading day of the previous week\n",
    "# First, determine the most recent Monday (or the start of the current week)\n",
    "start_of_current_week = latest_business_day - pd.DateOffset(days=latest_business_day.weekday())\n",
    "\n",
    "# Then, get the last trading day of the previous week by subtracting one day\n",
    "end_of_last_week = start_of_current_week - pd.DateOffset(days=3)\n",
    "\n",
    "#convert to datetime.date from timestamp\n",
    "start_of_current_week = start_of_current_week.date()\n",
    "end_of_last_week = end_of_last_week.date()\n",
    "\n",
    "# Calculate the last business day of the previous month\n",
    "first_day_of_current_month = pd.Timestamp(today.year, today.month, 1)\n",
    "market_days_last_month = nyse.valid_days(end_date=first_day_of_current_month - pd.DateOffset(1), start_date=first_day_of_current_month - pd.DateOffset(days=30))\n",
    "if market_days_last_month.empty:\n",
    "    print(\"No business days found in the specified range.\")\n",
    "else:\n",
    "    prev_monthend = market_days_last_month[-1].date()\n",
    "    print(\"Last business day of previous month:\", prev_monthend)\n",
    "\n",
    "# Calculate the last business day of the previous year\n",
    "dec_31_last_year = pd.Timestamp(today.year - 1, 12, 31)\n",
    "market_days_last_year = nyse.valid_days(start_date=dec_31_last_year - pd.DateOffset(30), end_date=dec_31_last_year)\n",
    "if market_days_last_year.empty:\n",
    "    print(\"No business days found in the specified range for the end of last year.\")\n",
    "else:\n",
    "    prev_yearend = market_days_last_year[-1].date()\n",
    "    print(\"Last business day of the previous year:\", prev_yearend)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fbf991db-4b5b-4be3-958e-78129a3e9ec2",
   "metadata": {},
   "outputs": [],
   "source": [
    "spx = \"^SPX\"\n",
    "ndx = \"^IXIC\"\n",
    "r2k = \"^RUT\"\n",
    "dji = \"^DJI\"\n",
    "gold = \"GC=F\"\n",
    "brent = \"BZ=F\"\n",
    "wti = \"CL=F\"\n",
    "ng = \"NG=F\"\n",
    "btc = \"BTC-USD\"\n",
    "rsp = \"RSP\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bfdfdfae-517e-4d4d-bdb1-90673b45dc15",
   "metadata": {},
   "outputs": [],
   "source": [
    "symbols =[spx, rsp, ndx, r2k, dji, gold, brent, wti, ng]\n",
    "\n",
    "data = obb.equity.price.historical(\n",
    "    symbols, \n",
    "    start_date=prev_yearend, \n",
    "    end_date=latest_business_day, \n",
    "    provider=\"yfinance\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4a859745-f8cf-42af-bc40-9e0ed4816f56",
   "metadata": {},
   "outputs": [
    {
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       "  <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>split_ratio</th>\n",
       "      <th>dividend</th>\n",
       "      <th>symbol</th>\n",
       "      <th>capital_gains</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>77.419998</td>\n",
       "      <td>77.970001</td>\n",
       "      <td>76.750000</td>\n",
       "      <td>77.040001</td>\n",
       "      <td>20115</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>BZ=F</td>\n",
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       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>71.989998</td>\n",
       "      <td>72.620003</td>\n",
       "      <td>71.250000</td>\n",
       "      <td>71.650002</td>\n",
       "      <td>214486</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>2068.000000</td>\n",
       "      <td>2068.899902</td>\n",
       "      <td>2062.100098</td>\n",
       "      <td>2062.399902</td>\n",
       "      <td>47</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>GC=F</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>2.539000</td>\n",
       "      <td>2.561000</td>\n",
       "      <td>2.489000</td>\n",
       "      <td>2.514000</td>\n",
       "      <td>89598</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>158.039993</td>\n",
       "      <td>158.529999</td>\n",
       "      <td>157.330002</td>\n",
       "      <td>157.800003</td>\n",
       "      <td>5339200</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>RSP</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-06</th>\n",
       "      <td>163.649994</td>\n",
       "      <td>164.050003</td>\n",
       "      <td>163.270004</td>\n",
       "      <td>164.039993</td>\n",
       "      <td>4918139</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>RSP</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-06</th>\n",
       "      <td>38762.398438</td>\n",
       "      <td>38886.468750</td>\n",
       "      <td>38689.378906</td>\n",
       "      <td>38852.269531</td>\n",
       "      <td>319427091</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>^DJI</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-06</th>\n",
       "      <td>16208.500000</td>\n",
       "      <td>16350.083984</td>\n",
       "      <td>16197.860352</td>\n",
       "      <td>16349.245117</td>\n",
       "      <td>4077060000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>^IXIC</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-06</th>\n",
       "      <td>2048.511475</td>\n",
       "      <td>2064.287842</td>\n",
       "      <td>2048.511475</td>\n",
       "      <td>2060.674561</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>^RUT</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-06</th>\n",
       "      <td>5142.419922</td>\n",
       "      <td>5181.000000</td>\n",
       "      <td>5142.419922</td>\n",
       "      <td>5180.740234</td>\n",
       "      <td>2175686516</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>^SPX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>792 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    open          high           low         close  \\\n",
       "date                                                                 \n",
       "2023-12-29     77.419998     77.970001     76.750000     77.040001   \n",
       "2023-12-29     71.989998     72.620003     71.250000     71.650002   \n",
       "2023-12-29   2068.000000   2068.899902   2062.100098   2062.399902   \n",
       "2023-12-29      2.539000      2.561000      2.489000      2.514000   \n",
       "2023-12-29    158.039993    158.529999    157.330002    157.800003   \n",
       "...                  ...           ...           ...           ...   \n",
       "2024-05-06    163.649994    164.050003    163.270004    164.039993   \n",
       "2024-05-06  38762.398438  38886.468750  38689.378906  38852.269531   \n",
       "2024-05-06  16208.500000  16350.083984  16197.860352  16349.245117   \n",
       "2024-05-06   2048.511475   2064.287842   2048.511475   2060.674561   \n",
       "2024-05-06   5142.419922   5181.000000   5142.419922   5180.740234   \n",
       "\n",
       "                volume  split_ratio  dividend symbol  capital_gains  \n",
       "date                                                                 \n",
       "2023-12-29       20115          0.0       0.0   BZ=F            NaN  \n",
       "2023-12-29      214486          0.0       0.0   CL=F            NaN  \n",
       "2023-12-29          47          0.0       0.0   GC=F            NaN  \n",
       "2023-12-29       89598          0.0       0.0   NG=F            NaN  \n",
       "2023-12-29     5339200          0.0       0.0    RSP            0.0  \n",
       "...                ...          ...       ...    ...            ...  \n",
       "2024-05-06     4918139          0.0       0.0    RSP            0.0  \n",
       "2024-05-06   319427091          0.0       0.0   ^DJI            NaN  \n",
       "2024-05-06  4077060000          0.0       0.0  ^IXIC            NaN  \n",
       "2024-05-06           0          0.0       0.0   ^RUT            NaN  \n",
       "2024-05-06  2175686516          0.0       0.0   ^SPX            NaN  \n",
       "\n",
       "[792 rows x 9 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "abc74ff9-4cd2-48e7-bd5e-a3d5b68f0b04",
   "metadata": {},
   "outputs": [],
   "source": [
    "prices = data.pivot(columns=\"symbol\", values=\"close\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "95b2e0a9-898b-46a9-a0bb-638531151cb7",
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>symbol</th>\n",
       "      <th>BZ=F</th>\n",
       "      <th>CL=F</th>\n",
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       "    <tr>\n",
       "      <th>date</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>77.040001</td>\n",
       "      <td>71.650002</td>\n",
       "      <td>2062.399902</td>\n",
       "      <td>2.514</td>\n",
       "      <td>157.800003</td>\n",
       "      <td>37689.539062</td>\n",
       "      <td>15011.349609</td>\n",
       "      <td>2027.069946</td>\n",
       "      <td>4769.830078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-02</th>\n",
       "      <td>75.889999</td>\n",
       "      <td>70.379997</td>\n",
       "      <td>2064.399902</td>\n",
       "      <td>2.568</td>\n",
       "      <td>157.850006</td>\n",
       "      <td>37715.039062</td>\n",
       "      <td>14765.940430</td>\n",
       "      <td>2012.800049</td>\n",
       "      <td>4742.830078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-03</th>\n",
       "      <td>78.250000</td>\n",
       "      <td>72.699997</td>\n",
       "      <td>2034.199951</td>\n",
       "      <td>2.668</td>\n",
       "      <td>155.520004</td>\n",
       "      <td>37430.191406</td>\n",
       "      <td>14592.209961</td>\n",
       "      <td>1959.199951</td>\n",
       "      <td>4704.810059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-04</th>\n",
       "      <td>77.589996</td>\n",
       "      <td>72.190002</td>\n",
       "      <td>2042.300049</td>\n",
       "      <td>2.821</td>\n",
       "      <td>155.259995</td>\n",
       "      <td>37440.339844</td>\n",
       "      <td>14510.299805</td>\n",
       "      <td>1957.729980</td>\n",
       "      <td>4688.680176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-05</th>\n",
       "      <td>78.760002</td>\n",
       "      <td>73.809998</td>\n",
       "      <td>2042.400024</td>\n",
       "      <td>2.893</td>\n",
       "      <td>155.710007</td>\n",
       "      <td>37466.109375</td>\n",
       "      <td>14524.070312</td>\n",
       "      <td>1951.140015</td>\n",
       "      <td>4697.240234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-30</th>\n",
       "      <td>87.860001</td>\n",
       "      <td>81.930000</td>\n",
       "      <td>2291.399902</td>\n",
       "      <td>1.991</td>\n",
       "      <td>161.199997</td>\n",
       "      <td>37815.921875</td>\n",
       "      <td>15657.820312</td>\n",
       "      <td>1973.910034</td>\n",
       "      <td>5035.689941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-01</th>\n",
       "      <td>83.440002</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>2299.899902</td>\n",
       "      <td>1.932</td>\n",
       "      <td>160.649994</td>\n",
       "      <td>37903.289062</td>\n",
       "      <td>15605.480469</td>\n",
       "      <td>1980.229980</td>\n",
       "      <td>5018.390137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-02</th>\n",
       "      <td>83.669998</td>\n",
       "      <td>78.949997</td>\n",
       "      <td>2299.199951</td>\n",
       "      <td>2.035</td>\n",
       "      <td>161.639999</td>\n",
       "      <td>38225.660156</td>\n",
       "      <td>15840.959961</td>\n",
       "      <td>2016.109985</td>\n",
       "      <td>5064.200195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-03</th>\n",
       "      <td>82.959999</td>\n",
       "      <td>78.110001</td>\n",
       "      <td>2299.000000</td>\n",
       "      <td>2.142</td>\n",
       "      <td>162.789993</td>\n",
       "      <td>38675.679688</td>\n",
       "      <td>16156.330078</td>\n",
       "      <td>2035.719971</td>\n",
       "      <td>5127.790039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-06</th>\n",
       "      <td>83.660004</td>\n",
       "      <td>78.839996</td>\n",
       "      <td>2333.800049</td>\n",
       "      <td>2.202</td>\n",
       "      <td>164.039993</td>\n",
       "      <td>38852.269531</td>\n",
       "      <td>16349.245117</td>\n",
       "      <td>2060.674561</td>\n",
       "      <td>5180.740234</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>88 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "symbol           BZ=F       CL=F         GC=F   NG=F         RSP  \\\n",
       "date                                                               \n",
       "2023-12-29  77.040001  71.650002  2062.399902  2.514  157.800003   \n",
       "2024-01-02  75.889999  70.379997  2064.399902  2.568  157.850006   \n",
       "2024-01-03  78.250000  72.699997  2034.199951  2.668  155.520004   \n",
       "2024-01-04  77.589996  72.190002  2042.300049  2.821  155.259995   \n",
       "2024-01-05  78.760002  73.809998  2042.400024  2.893  155.710007   \n",
       "...               ...        ...          ...    ...         ...   \n",
       "2024-04-30  87.860001  81.930000  2291.399902  1.991  161.199997   \n",
       "2024-05-01  83.440002  79.000000  2299.899902  1.932  160.649994   \n",
       "2024-05-02  83.669998  78.949997  2299.199951  2.035  161.639999   \n",
       "2024-05-03  82.959999  78.110001  2299.000000  2.142  162.789993   \n",
       "2024-05-06  83.660004  78.839996  2333.800049  2.202  164.039993   \n",
       "\n",
       "symbol              ^DJI         ^IXIC         ^RUT         ^SPX  \n",
       "date                                                              \n",
       "2023-12-29  37689.539062  15011.349609  2027.069946  4769.830078  \n",
       "2024-01-02  37715.039062  14765.940430  2012.800049  4742.830078  \n",
       "2024-01-03  37430.191406  14592.209961  1959.199951  4704.810059  \n",
       "2024-01-04  37440.339844  14510.299805  1957.729980  4688.680176  \n",
       "2024-01-05  37466.109375  14524.070312  1951.140015  4697.240234  \n",
       "...                  ...           ...          ...          ...  \n",
       "2024-04-30  37815.921875  15657.820312  1973.910034  5035.689941  \n",
       "2024-05-01  37903.289062  15605.480469  1980.229980  5018.390137  \n",
       "2024-05-02  38225.660156  15840.959961  2016.109985  5064.200195  \n",
       "2024-05-03  38675.679688  16156.330078  2035.719971  5127.790039  \n",
       "2024-05-06  38852.269531  16349.245117  2060.674561  5180.740234  \n",
       "\n",
       "[88 rows x 9 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c943738f-922d-4f11-bb2f-4c31c71d7488",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Forward fill NaN\n",
    "prices = prices.ffill()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d0535614-a853-4ace-b57b-f8786421838e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>symbol</th>\n",
       "      <th>BZ=F</th>\n",
       "      <th>CL=F</th>\n",
       "      <th>GC=F</th>\n",
       "      <th>NG=F</th>\n",
       "      <th>RSP</th>\n",
       "      <th>^DJI</th>\n",
       "      <th>^IXIC</th>\n",
       "      <th>^RUT</th>\n",
       "      <th>^SPX</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>77.040001</td>\n",
       "      <td>71.650002</td>\n",
       "      <td>2062.399902</td>\n",
       "      <td>2.514</td>\n",
       "      <td>157.800003</td>\n",
       "      <td>37689.539062</td>\n",
       "      <td>15011.349609</td>\n",
       "      <td>2027.069946</td>\n",
       "      <td>4769.830078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-02</th>\n",
       "      <td>75.889999</td>\n",
       "      <td>70.379997</td>\n",
       "      <td>2064.399902</td>\n",
       "      <td>2.568</td>\n",
       "      <td>157.850006</td>\n",
       "      <td>37715.039062</td>\n",
       "      <td>14765.940430</td>\n",
       "      <td>2012.800049</td>\n",
       "      <td>4742.830078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-03</th>\n",
       "      <td>78.250000</td>\n",
       "      <td>72.699997</td>\n",
       "      <td>2034.199951</td>\n",
       "      <td>2.668</td>\n",
       "      <td>155.520004</td>\n",
       "      <td>37430.191406</td>\n",
       "      <td>14592.209961</td>\n",
       "      <td>1959.199951</td>\n",
       "      <td>4704.810059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-04</th>\n",
       "      <td>77.589996</td>\n",
       "      <td>72.190002</td>\n",
       "      <td>2042.300049</td>\n",
       "      <td>2.821</td>\n",
       "      <td>155.259995</td>\n",
       "      <td>37440.339844</td>\n",
       "      <td>14510.299805</td>\n",
       "      <td>1957.729980</td>\n",
       "      <td>4688.680176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-05</th>\n",
       "      <td>78.760002</td>\n",
       "      <td>73.809998</td>\n",
       "      <td>2042.400024</td>\n",
       "      <td>2.893</td>\n",
       "      <td>155.710007</td>\n",
       "      <td>37466.109375</td>\n",
       "      <td>14524.070312</td>\n",
       "      <td>1951.140015</td>\n",
       "      <td>4697.240234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-30</th>\n",
       "      <td>87.860001</td>\n",
       "      <td>81.930000</td>\n",
       "      <td>2291.399902</td>\n",
       "      <td>1.991</td>\n",
       "      <td>161.199997</td>\n",
       "      <td>37815.921875</td>\n",
       "      <td>15657.820312</td>\n",
       "      <td>1973.910034</td>\n",
       "      <td>5035.689941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-01</th>\n",
       "      <td>83.440002</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>2299.899902</td>\n",
       "      <td>1.932</td>\n",
       "      <td>160.649994</td>\n",
       "      <td>37903.289062</td>\n",
       "      <td>15605.480469</td>\n",
       "      <td>1980.229980</td>\n",
       "      <td>5018.390137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-02</th>\n",
       "      <td>83.669998</td>\n",
       "      <td>78.949997</td>\n",
       "      <td>2299.199951</td>\n",
       "      <td>2.035</td>\n",
       "      <td>161.639999</td>\n",
       "      <td>38225.660156</td>\n",
       "      <td>15840.959961</td>\n",
       "      <td>2016.109985</td>\n",
       "      <td>5064.200195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-03</th>\n",
       "      <td>82.959999</td>\n",
       "      <td>78.110001</td>\n",
       "      <td>2299.000000</td>\n",
       "      <td>2.142</td>\n",
       "      <td>162.789993</td>\n",
       "      <td>38675.679688</td>\n",
       "      <td>16156.330078</td>\n",
       "      <td>2035.719971</td>\n",
       "      <td>5127.790039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-06</th>\n",
       "      <td>83.660004</td>\n",
       "      <td>78.839996</td>\n",
       "      <td>2333.800049</td>\n",
       "      <td>2.202</td>\n",
       "      <td>164.039993</td>\n",
       "      <td>38852.269531</td>\n",
       "      <td>16349.245117</td>\n",
       "      <td>2060.674561</td>\n",
       "      <td>5180.740234</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>88 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "symbol           BZ=F       CL=F         GC=F   NG=F         RSP  \\\n",
       "date                                                               \n",
       "2023-12-29  77.040001  71.650002  2062.399902  2.514  157.800003   \n",
       "2024-01-02  75.889999  70.379997  2064.399902  2.568  157.850006   \n",
       "2024-01-03  78.250000  72.699997  2034.199951  2.668  155.520004   \n",
       "2024-01-04  77.589996  72.190002  2042.300049  2.821  155.259995   \n",
       "2024-01-05  78.760002  73.809998  2042.400024  2.893  155.710007   \n",
       "...               ...        ...          ...    ...         ...   \n",
       "2024-04-30  87.860001  81.930000  2291.399902  1.991  161.199997   \n",
       "2024-05-01  83.440002  79.000000  2299.899902  1.932  160.649994   \n",
       "2024-05-02  83.669998  78.949997  2299.199951  2.035  161.639999   \n",
       "2024-05-03  82.959999  78.110001  2299.000000  2.142  162.789993   \n",
       "2024-05-06  83.660004  78.839996  2333.800049  2.202  164.039993   \n",
       "\n",
       "symbol              ^DJI         ^IXIC         ^RUT         ^SPX  \n",
       "date                                                              \n",
       "2023-12-29  37689.539062  15011.349609  2027.069946  4769.830078  \n",
       "2024-01-02  37715.039062  14765.940430  2012.800049  4742.830078  \n",
       "2024-01-03  37430.191406  14592.209961  1959.199951  4704.810059  \n",
       "2024-01-04  37440.339844  14510.299805  1957.729980  4688.680176  \n",
       "2024-01-05  37466.109375  14524.070312  1951.140015  4697.240234  \n",
       "...                  ...           ...          ...          ...  \n",
       "2024-04-30  37815.921875  15657.820312  1973.910034  5035.689941  \n",
       "2024-05-01  37903.289062  15605.480469  1980.229980  5018.390137  \n",
       "2024-05-02  38225.660156  15840.959961  2016.109985  5064.200195  \n",
       "2024-05-03  38675.679688  16156.330078  2035.719971  5127.790039  \n",
       "2024-05-06  38852.269531  16349.245117  2060.674561  5180.740234  \n",
       "\n",
       "[88 rows x 9 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c004491f-326f-4145-9ccb-1e7ad6efcb52",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                Brent        WTI         Gold     NG         RSP  \\\n",
      "date                                                               \n",
      "2023-12-29  77.040001  71.650002  2062.399902  2.514  157.800003   \n",
      "2024-01-02  75.889999  70.379997  2064.399902  2.568  157.850006   \n",
      "2024-01-03  78.250000  72.699997  2034.199951  2.668  155.520004   \n",
      "2024-01-04  77.589996  72.190002  2042.300049  2.821  155.259995   \n",
      "2024-01-05  78.760002  73.809998  2042.400024  2.893  155.710007   \n",
      "\n",
      "                     DJI           NDX          R2K          SPX  \n",
      "date                                                              \n",
      "2023-12-29  37689.539062  15011.349609  2027.069946  4769.830078  \n",
      "2024-01-02  37715.039062  14765.940430  2012.800049  4742.830078  \n",
      "2024-01-03  37430.191406  14592.209961  1959.199951  4704.810059  \n",
      "2024-01-04  37440.339844  14510.299805  1957.729980  4688.680176  \n",
      "2024-01-05  37466.109375  14524.070312  1951.140015  4697.240234  \n"
     ]
    }
   ],
   "source": [
    "# Dictionary of replacements: keys are current names, values are new names\n",
    "replacements = {\n",
    "    \n",
    "    \"^SPX\" : \"SPX\",\n",
    "    \"^IXIC\" : \"NDX\",\n",
    "    \"^RUT\" : \"R2K\",\n",
    "    \"^DJI\" : \"DJI\",\n",
    "    \"GC=F\" : \"Gold\",\n",
    "    \"BZ=F\" : \"Brent\",\n",
    "    \"CL=F\" : \"WTI\",\n",
    "    \"NG=F\" : \"NG\",\n",
    "    \"BTC-USD\": \"BTC\",\n",
    "    \"RSP\" : \"RSP\"\n",
    "    # Add more replacements as needed\n",
    "}\n",
    "\n",
    "# Replace column names based on the replacements dictionary\n",
    "prices.columns = [replacements.get(col, col) for col in prices.columns]\n",
    "\n",
    "# Now, the DataFrame's column names have been updated based on the replacements dictionary\n",
    "print(prices.head())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "043b43f1-8ecd-44cb-aac5-79bb945d9a79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Brent    1.085929\n",
       "WTI      1.100349\n",
       "Gold     1.131594\n",
       "NG       0.875895\n",
       "RSP      1.039544\n",
       "DJI      1.030850\n",
       "NDX      1.089126\n",
       "R2K      1.016578\n",
       "SPX      1.086148\n",
       "dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prices.loc[latest_business_day]/prices.loc[prev_yearend]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "fcb49de6-c1ac-4ab5-ae38-1edb637ca739",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "               Brent       WTI      Gold        NG       RSP       DJI  \\\n",
      "date                                                                     \n",
      "2023-12-29       NaN       NaN       NaN       NaN       NaN       NaN   \n",
      "2024-01-02 -1.492733 -1.772511  0.096974  2.147977  0.031688  0.067658   \n",
      "2024-01-03  3.109765  3.296391 -1.462892  3.894077 -1.476086 -0.755263   \n",
      "2024-01-04 -0.843455 -0.701506  0.398196  5.734637 -0.167187  0.027113   \n",
      "2024-01-05  1.507934  2.244071  0.004895  2.552279  0.289844  0.068828   \n",
      "...              ...       ...       ...       ...       ...       ...   \n",
      "2024-04-30 -0.610861 -0.847146 -2.302379 -1.921178 -1.442896 -1.485350   \n",
      "2024-05-01 -5.030729 -3.576224  0.370952 -2.963336 -0.341193  0.231033   \n",
      "2024-05-02  0.275642 -0.063295 -0.030434  5.331265  0.616250  0.850510   \n",
      "2024-05-03 -0.848571 -1.063960 -0.008697  5.257979  0.711454  1.177271   \n",
      "2024-05-06  0.843786  0.934574  1.513704  2.801118  0.767860  0.456591   \n",
      "\n",
      "                 NDX       R2K       SPX  \n",
      "date                                      \n",
      "2023-12-29       NaN       NaN       NaN  \n",
      "2024-01-02 -1.634824 -0.703967 -0.566058  \n",
      "2024-01-03 -1.176562 -2.662962 -0.801631  \n",
      "2024-01-04 -0.561328 -0.075029 -0.342838  \n",
      "2024-01-05  0.094902 -0.336613  0.182569  \n",
      "...              ...       ...       ...  \n",
      "2024-04-30 -2.035026 -2.089254 -1.573051  \n",
      "2024-05-01 -0.334273  0.320174 -0.343544  \n",
      "2024-05-02  1.508954  1.811911  0.912844  \n",
      "2024-05-03  1.990852  0.972664  1.255674  \n",
      "2024-05-06  1.194052  1.225836  1.032612  \n",
      "\n",
      "[88 rows x 9 columns]\n"
     ]
    }
   ],
   "source": [
    "#Calculate daily performance (%)\n",
    "daily_returns = prices.pct_change() * 100\n",
    "print (daily_returns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2974a0c6-82f0-4ed0-baa2-7d5787f9388c",
   "metadata": {},
   "outputs": [],
   "source": [
    "closing_price = prices.iloc[-1].round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c653a41b-4ce9-4776-8deb-d493ec1d7761",
   "metadata": {},
   "outputs": [],
   "source": [
    "ytd_low = prices.min().round(2)\n",
    "ytd_high = prices.max().round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0d1a3dec-50e2-4758-a0a5-1b4209274b11",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Calculate the WTD Performance (%)\n",
    "weekly_data = prices[end_of_last_week:]\n",
    "#wtd_start_price = prices.loc[start_of_current_week]\n",
    "wtd_start_price = weekly_data.iloc[0] # First row of weekly_data is the start of the week\n",
    "#wtd_performance = ((prices / wtd_start_price) - 1) * 100\n",
    "wtd_performance = ((weekly_data / wtd_start_price) - 1) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b815a202-7bb3-4515-b09f-57760826edda",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the MTD Performance (%)\n",
    "monthly_data = prices[prev_monthend:]\n",
    "#mtd_start_price = prices.loc[prev_monthend]\n",
    "mtd_start_price = monthly_data.iloc[0] # First row of weekly_data is the start of the week\n",
    "#mtd_performance = ((prices / mtd_start_price) - 1) * 100\n",
    "mtd_performance = ((monthly_data / mtd_start_price) - 1) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "779287a0-aa5f-42b1-8cc4-0c90425d97b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the YTD Performance (%)\n",
    "ytd_start_price = prices.loc[prev_yearend]\n",
    "ytd_performance = ((prices / ytd_start_price) - 1) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b787543c-7774-40ea-9cc8-bc56a25498bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Latest Daily, MTD, YTD performances for each ticker\n",
    "latest_daily_performance = daily_returns.iloc[-1].round(2)\n",
    "latest_wtd_performance = wtd_performance.iloc[-1].round(2)\n",
    "latest_mtd_performance = mtd_performance.iloc[-1].round(2)\n",
    "latest_ytd_performance = ytd_performance.iloc[-1].round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "92268435-5825-4c4e-9b52-5f97ae20577b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       Closing Price ($)   Daily Performance (%)  WTD Performance (%)  \\\n",
      "Brent               83.66                   0.84                 0.84   \n",
      "WTI                 78.84                   0.93                 0.93   \n",
      "Gold              2333.80                   1.51                 1.51   \n",
      "NG                   2.20                   2.80                 2.80   \n",
      "RSP                164.04                   0.77                 0.77   \n",
      "DJI              38852.27                   0.46                 0.46   \n",
      "NDX              16349.25                   1.19                 1.19   \n",
      "R2K               2060.67                   1.23                 1.23   \n",
      "SPX               5180.74                   1.03                 1.03   \n",
      "\n",
      "       MTD Performance (%)  YTD Performance (%)  YTD High ($)  YTD Low ($)  \n",
      "Brent                -4.78                 8.59         91.17        75.89  \n",
      "WTI                  -3.77                10.03         86.91        70.38  \n",
      "Gold                  1.85                13.16       2398.40      1990.30  \n",
      "NG                   10.60               -12.41          3.31         1.58  \n",
      "RSP                   1.76                 3.95        169.37       153.84  \n",
      "DJI                   2.74                 3.09      39807.37     37266.67  \n",
      "NDX                   4.42                 8.91      16442.20     14510.30  \n",
      "R2K                   4.40                 1.66       2124.55      1913.17  \n",
      "SPX                   2.88                 8.61       5254.35      4688.68  \n"
     ]
    }
   ],
   "source": [
    "# Combine the performances into a new DataFrame\n",
    "performance_summary = pd.DataFrame({\n",
    "    'Closing Price ($) ' : closing_price,\n",
    "    'Daily Performance (%)' : latest_daily_performance,\n",
    "    'WTD Performance (%)' : latest_wtd_performance,\n",
    "    'MTD Performance (%)' : latest_mtd_performance,\n",
    "    'YTD Performance (%)' : latest_ytd_performance,\n",
    "    'YTD High ($)' : ytd_high,\n",
    "    'YTD Low ($)' : ytd_low,\n",
    "})\n",
    "\n",
    "print(performance_summary)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "540200d9-0b41-43f4-b9aa-10a281491cc6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Equities\n",
      "     Closing Price ($)   Daily Performance (%)  WTD Performance (%)  \\\n",
      "SPX             5180.74                   1.03                 1.03   \n",
      "RSP              164.04                   0.77                 0.77   \n",
      "NDX            16349.25                   1.19                 1.19   \n",
      "R2K             2060.67                   1.23                 1.23   \n",
      "DJI            38852.27                   0.46                 0.46   \n",
      "\n",
      "     MTD Performance (%)  YTD Performance (%)  YTD High ($)  YTD Low ($)  \n",
      "SPX                 2.88                 8.61       5254.35      4688.68  \n",
      "RSP                 1.76                 3.95        169.37       153.84  \n",
      "NDX                 4.42                 8.91      16442.20     14510.30  \n",
      "R2K                 4.40                 1.66       2124.55      1913.17  \n",
      "DJI                 2.74                 3.09      39807.37     37266.67  \n",
      "\n",
      "Commodities\n",
      "       Closing Price ($)   Daily Performance (%)  WTD Performance (%)  \\\n",
      "Brent               83.66                   0.84                 0.84   \n",
      "WTI                 78.84                   0.93                 0.93   \n",
      "NG                   2.20                   2.80                 2.80   \n",
      "Gold              2333.80                   1.51                 1.51   \n",
      "\n",
      "       MTD Performance (%)  YTD Performance (%)  YTD High ($)  YTD Low ($)  \n",
      "Brent                -4.78                 8.59         91.17        75.89  \n",
      "WTI                  -3.77                10.03         86.91        70.38  \n",
      "NG                   10.60               -12.41          3.31         1.58  \n",
      "Gold                  1.85                13.16       2398.40      1990.30  \n"
     ]
    }
   ],
   "source": [
    "# Your final DataFrame is named 'performance_summary' for this example\n",
    "# Define the new order of rows including group names as placeholders\n",
    "ordered_tickers = ['Equities', 'SPX', 'RSP', 'NDX', 'R2K', 'DJI', 'Commodities', 'Brent', 'WTI', 'NG', 'Gold']\n",
    "\n",
    "# Create a mapping of tickers to their desired order, ignoring placeholder group names\n",
    "ticker_order = {ticker: i for i, ticker in enumerate(ordered_tickers) if ticker in performance_summary.index}\n",
    "\n",
    "# Sort the DataFrame according to the defined order\n",
    "sorted_performance_summary = performance_summary.loc[ticker_order.keys()]\n",
    "\n",
    "print(\"Equities\")\n",
    "print(sorted_performance_summary.loc[['SPX', 'RSP', 'NDX', 'R2K', 'DJI']])\n",
    "print(\"\\nCommodities\")\n",
    "print(sorted_performance_summary.loc[['Brent', 'WTI', 'NG', 'Gold']])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c3c3a40d-16e0-4604-b868-c96aee0dedc6",
   "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>Closing Price ($)</th>\n",
       "      <th>Daily Performance (%)</th>\n",
       "      <th>WTD Performance (%)</th>\n",
       "      <th>MTD Performance (%)</th>\n",
       "      <th>YTD Performance (%)</th>\n",
       "      <th>YTD High ($)</th>\n",
       "      <th>YTD Low ($)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SPX</th>\n",
       "      <td>5180.74</td>\n",
       "      <td>1.03</td>\n",
       "      <td>1.03</td>\n",
       "      <td>2.88</td>\n",
       "      <td>8.61</td>\n",
       "      <td>5254.35</td>\n",
       "      <td>4688.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RSP</th>\n",
       "      <td>164.04</td>\n",
       "      <td>0.77</td>\n",
       "      <td>0.77</td>\n",
       "      <td>1.76</td>\n",
       "      <td>3.95</td>\n",
       "      <td>169.37</td>\n",
       "      <td>153.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDX</th>\n",
       "      <td>16349.25</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.19</td>\n",
       "      <td>4.42</td>\n",
       "      <td>8.91</td>\n",
       "      <td>16442.20</td>\n",
       "      <td>14510.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2K</th>\n",
       "      <td>2060.67</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.23</td>\n",
       "      <td>4.40</td>\n",
       "      <td>1.66</td>\n",
       "      <td>2124.55</td>\n",
       "      <td>1913.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DJI</th>\n",
       "      <td>38852.27</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.46</td>\n",
       "      <td>2.74</td>\n",
       "      <td>3.09</td>\n",
       "      <td>39807.37</td>\n",
       "      <td>37266.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brent</th>\n",
       "      <td>83.66</td>\n",
       "      <td>0.84</td>\n",
       "      <td>0.84</td>\n",
       "      <td>-4.78</td>\n",
       "      <td>8.59</td>\n",
       "      <td>91.17</td>\n",
       "      <td>75.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WTI</th>\n",
       "      <td>78.84</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.93</td>\n",
       "      <td>-3.77</td>\n",
       "      <td>10.03</td>\n",
       "      <td>86.91</td>\n",
       "      <td>70.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NG</th>\n",
       "      <td>2.20</td>\n",
       "      <td>2.80</td>\n",
       "      <td>2.80</td>\n",
       "      <td>10.60</td>\n",
       "      <td>-12.41</td>\n",
       "      <td>3.31</td>\n",
       "      <td>1.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gold</th>\n",
       "      <td>2333.80</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.85</td>\n",
       "      <td>13.16</td>\n",
       "      <td>2398.40</td>\n",
       "      <td>1990.30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Closing Price ($)   Daily Performance (%)  WTD Performance (%)  \\\n",
       "SPX               5180.74                   1.03                 1.03   \n",
       "RSP                164.04                   0.77                 0.77   \n",
       "NDX              16349.25                   1.19                 1.19   \n",
       "R2K               2060.67                   1.23                 1.23   \n",
       "DJI              38852.27                   0.46                 0.46   \n",
       "Brent               83.66                   0.84                 0.84   \n",
       "WTI                 78.84                   0.93                 0.93   \n",
       "NG                   2.20                   2.80                 2.80   \n",
       "Gold              2333.80                   1.51                 1.51   \n",
       "\n",
       "       MTD Performance (%)  YTD Performance (%)  YTD High ($)  YTD Low ($)  \n",
       "SPX                   2.88                 8.61       5254.35      4688.68  \n",
       "RSP                   1.76                 3.95        169.37       153.84  \n",
       "NDX                   4.42                 8.91      16442.20     14510.30  \n",
       "R2K                   4.40                 1.66       2124.55      1913.17  \n",
       "DJI                   2.74                 3.09      39807.37     37266.67  \n",
       "Brent                -4.78                 8.59         91.17        75.89  \n",
       "WTI                  -3.77                10.03         86.91        70.38  \n",
       "NG                   10.60               -12.41          3.31         1.58  \n",
       "Gold                  1.85                13.16       2398.40      1990.30  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted_performance_summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2e1ff254-991f-4388-85cf-bf3430b867a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data Preparation: Splitting the DataFrame into Equities and Commodities\n",
    "equities = performance_summary.loc[['SPX', 'RSP', 'NDX', 'R2K', 'DJI']]\n",
    "commodities = performance_summary.loc[['Brent', 'WTI', 'NG', 'Gold']]\n",
    "\n",
    "# Combine Equities and Commodities with separators/headers\n",
    "combined_data = pd.concat([\n",
    "    pd.DataFrame([[\"---\", \"---\", \"---\",\"---\", \"---\", \"---\", \"---\"]], columns=equities.columns, index=[\"Equities\"]),\n",
    "    equities,\n",
    "    pd.DataFrame([[\"---\", \"---\", \"---\",\"---\", \"---\", \"---\", \"---\"]], columns=commodities.columns, index=[\"Commodities\"]),\n",
    "    commodities\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "828f826b-5fea-4e5e-8509-335d6e0d2e32",
   "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>Closing Price ($)</th>\n",
       "      <th>Daily Performance (%)</th>\n",
       "      <th>WTD Performance (%)</th>\n",
       "      <th>MTD Performance (%)</th>\n",
       "      <th>YTD Performance (%)</th>\n",
       "      <th>YTD High ($)</th>\n",
       "      <th>YTD Low ($)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Equities</th>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SPX</th>\n",
       "      <td>5180.74</td>\n",
       "      <td>1.03</td>\n",
       "      <td>1.03</td>\n",
       "      <td>2.88</td>\n",
       "      <td>8.61</td>\n",
       "      <td>5254.35</td>\n",
       "      <td>4688.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RSP</th>\n",
       "      <td>164.04</td>\n",
       "      <td>0.77</td>\n",
       "      <td>0.77</td>\n",
       "      <td>1.76</td>\n",
       "      <td>3.95</td>\n",
       "      <td>169.37</td>\n",
       "      <td>153.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDX</th>\n",
       "      <td>16349.25</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.19</td>\n",
       "      <td>4.42</td>\n",
       "      <td>8.91</td>\n",
       "      <td>16442.2</td>\n",
       "      <td>14510.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2K</th>\n",
       "      <td>2060.67</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.23</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.66</td>\n",
       "      <td>2124.55</td>\n",
       "      <td>1913.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DJI</th>\n",
       "      <td>38852.27</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.46</td>\n",
       "      <td>2.74</td>\n",
       "      <td>3.09</td>\n",
       "      <td>39807.37</td>\n",
       "      <td>37266.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Commodities</th>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brent</th>\n",
       "      <td>83.66</td>\n",
       "      <td>0.84</td>\n",
       "      <td>0.84</td>\n",
       "      <td>-4.78</td>\n",
       "      <td>8.59</td>\n",
       "      <td>91.17</td>\n",
       "      <td>75.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WTI</th>\n",
       "      <td>78.84</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.93</td>\n",
       "      <td>-3.77</td>\n",
       "      <td>10.03</td>\n",
       "      <td>86.91</td>\n",
       "      <td>70.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NG</th>\n",
       "      <td>2.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>10.6</td>\n",
       "      <td>-12.41</td>\n",
       "      <td>3.31</td>\n",
       "      <td>1.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gold</th>\n",
       "      <td>2333.8</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.85</td>\n",
       "      <td>13.16</td>\n",
       "      <td>2398.4</td>\n",
       "      <td>1990.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Closing Price ($)  Daily Performance (%) WTD Performance (%)  \\\n",
       "Equities                   ---                   ---                 ---   \n",
       "SPX                    5180.74                  1.03                1.03   \n",
       "RSP                     164.04                  0.77                0.77   \n",
       "NDX                   16349.25                  1.19                1.19   \n",
       "R2K                    2060.67                  1.23                1.23   \n",
       "DJI                   38852.27                  0.46                0.46   \n",
       "Commodities                ---                   ---                 ---   \n",
       "Brent                    83.66                  0.84                0.84   \n",
       "WTI                      78.84                  0.93                0.93   \n",
       "NG                         2.2                   2.8                 2.8   \n",
       "Gold                    2333.8                  1.51                1.51   \n",
       "\n",
       "            MTD Performance (%) YTD Performance (%) YTD High ($) YTD Low ($)  \n",
       "Equities                    ---                 ---          ---         ---  \n",
       "SPX                        2.88                8.61      5254.35     4688.68  \n",
       "RSP                        1.76                3.95       169.37      153.84  \n",
       "NDX                        4.42                8.91      16442.2     14510.3  \n",
       "R2K                         4.4                1.66      2124.55     1913.17  \n",
       "DJI                        2.74                3.09     39807.37    37266.67  \n",
       "Commodities                 ---                 ---          ---         ---  \n",
       "Brent                     -4.78                8.59        91.17       75.89  \n",
       "WTI                       -3.77               10.03        86.91       70.38  \n",
       "NG                         10.6              -12.41         3.31        1.58  \n",
       "Gold                       1.85               13.16       2398.4      1990.3  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "4c5727fe-f3cf-4831-ab4e-5cd522875b64",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a figure and a single subplot\n",
    "fig, ax = plt.subplots(figsize=(12, 6))  # Adjust the size as needed\n",
    "\n",
    "# Hide axes\n",
    "ax.axis('off')\n",
    "ax.set_frame_on(False)\n",
    "\n",
    "# Create the table and adjust its styling\n",
    "tbl = ax.table(\n",
    "    cellText=combined_data.values,\n",
    "    bbox=[0, 0, 1, 1],\n",
    "    colLabels=combined_data.columns,\n",
    "    rowLabels=combined_data.index,\n",
    "    cellLoc='center',\n",
    "    rowLoc='center',\n",
    "    loc='center'\n",
    ")\n",
    "\n",
    "# Style the table\n",
    "# Setting the colors for the index column, header row, and category rows\n",
    "index_col_color = '#505050'  # Dark gray\n",
    "header_row_color = '#f1f1f2'  # Light gray for header\n",
    "category_row_color = '#d3d3d3'  # Light gray for category rows 'Equities' and 'Commodities'\n",
    "\n",
    "for (i, j), cell in tbl.get_celld().items():\n",
    "    # Check if the cell's row label is 'Equities' or 'Commodities'\n",
    "    row_label = combined_data.index[i-1] if i else ''\n",
    "    if j == -1:  # Index column\n",
    "        cell.set_text_props(weight='bold', color='white')\n",
    "        cell.set_facecolor(index_col_color)\n",
    "    elif row_label in ['Equities', 'Commodities']:  # Category rows\n",
    "        cell.set_text_props(weight='bold')\n",
    "        cell.set_facecolor(category_row_color)\n",
    "    elif i == 0:  # Header row\n",
    "        cell.set_text_props(weight='bold')\n",
    "        cell.set_facecolor(header_row_color)\n",
    "    else:  # Data cells\n",
    "        cell.set_facecolor('white' if j % 2 else 'lightgray')  # Alternating colors for data cells\n",
    "\n",
    "    # Bold text for index column and category rows\n",
    "    if i > 0 and (j == -1 or row_label in ['Equities', 'Commodities']):\n",
    "        cell.set_text_props(weight='bold')\n",
    "\n",
    "# Tight layout to fit everything\n",
    "plt.tight_layout()\n",
    "\n",
    "# Use the string to format the filename\n",
    "filename = f'market_performance_summary_{latest_business_day_str}.png'\n",
    "\n",
    "# Save the figure with the dynamic filename\n",
    "plt.savefig(filename, bbox_inches='tight', dpi=300)\n",
    "\n",
    "# Display the figure\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4afb61be-9d88-4239-a014-a671c215a95f",
   "metadata": {},
   "outputs": [],
   "source": [
    "eq_prices = prices [[\"SPX\", \"RSP\", \"NDX\", \"R2K\", \"DJI\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "65eb5e38-196b-44e4-8e2a-85120ddb65c9",
   "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>SPX</th>\n",
       "      <th>RSP</th>\n",
       "      <th>NDX</th>\n",
       "      <th>R2K</th>\n",
       "      <th>DJI</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>4769.830078</td>\n",
       "      <td>157.800003</td>\n",
       "      <td>15011.349609</td>\n",
       "      <td>2027.069946</td>\n",
       "      <td>37689.539062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-02</th>\n",
       "      <td>4742.830078</td>\n",
       "      <td>157.850006</td>\n",
       "      <td>14765.940430</td>\n",
       "      <td>2012.800049</td>\n",
       "      <td>37715.039062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-03</th>\n",
       "      <td>4704.810059</td>\n",
       "      <td>155.520004</td>\n",
       "      <td>14592.209961</td>\n",
       "      <td>1959.199951</td>\n",
       "      <td>37430.191406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-04</th>\n",
       "      <td>4688.680176</td>\n",
       "      <td>155.259995</td>\n",
       "      <td>14510.299805</td>\n",
       "      <td>1957.729980</td>\n",
       "      <td>37440.339844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-05</th>\n",
       "      <td>4697.240234</td>\n",
       "      <td>155.710007</td>\n",
       "      <td>14524.070312</td>\n",
       "      <td>1951.140015</td>\n",
       "      <td>37466.109375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-30</th>\n",
       "      <td>5035.689941</td>\n",
       "      <td>161.199997</td>\n",
       "      <td>15657.820312</td>\n",
       "      <td>1973.910034</td>\n",
       "      <td>37815.921875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-01</th>\n",
       "      <td>5018.390137</td>\n",
       "      <td>160.649994</td>\n",
       "      <td>15605.480469</td>\n",
       "      <td>1980.229980</td>\n",
       "      <td>37903.289062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-02</th>\n",
       "      <td>5064.200195</td>\n",
       "      <td>161.639999</td>\n",
       "      <td>15840.959961</td>\n",
       "      <td>2016.109985</td>\n",
       "      <td>38225.660156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-03</th>\n",
       "      <td>5127.790039</td>\n",
       "      <td>162.789993</td>\n",
       "      <td>16156.330078</td>\n",
       "      <td>2035.719971</td>\n",
       "      <td>38675.679688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-06</th>\n",
       "      <td>5180.740234</td>\n",
       "      <td>164.039993</td>\n",
       "      <td>16349.245117</td>\n",
       "      <td>2060.674561</td>\n",
       "      <td>38852.269531</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>88 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    SPX         RSP           NDX          R2K           DJI\n",
       "date                                                                        \n",
       "2023-12-29  4769.830078  157.800003  15011.349609  2027.069946  37689.539062\n",
       "2024-01-02  4742.830078  157.850006  14765.940430  2012.800049  37715.039062\n",
       "2024-01-03  4704.810059  155.520004  14592.209961  1959.199951  37430.191406\n",
       "2024-01-04  4688.680176  155.259995  14510.299805  1957.729980  37440.339844\n",
       "2024-01-05  4697.240234  155.710007  14524.070312  1951.140015  37466.109375\n",
       "...                 ...         ...           ...          ...           ...\n",
       "2024-04-30  5035.689941  161.199997  15657.820312  1973.910034  37815.921875\n",
       "2024-05-01  5018.390137  160.649994  15605.480469  1980.229980  37903.289062\n",
       "2024-05-02  5064.200195  161.639999  15840.959961  2016.109985  38225.660156\n",
       "2024-05-03  5127.790039  162.789993  16156.330078  2035.719971  38675.679688\n",
       "2024-05-06  5180.740234  164.039993  16349.245117  2060.674561  38852.269531\n",
       "\n",
       "[88 rows x 5 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eq_prices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4004232c-332e-4c3b-8060-91b9c0386f55",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the WTD Performance (%)\n",
    "eq_weekly_data = eq_prices[end_of_last_week:]\n",
    "#wtd_start_price = prices.loc[start_of_current_week]\n",
    "eq_wtd_start_price = eq_weekly_data.iloc[0] # First row of weekly_data is the start of the week\n",
    "#wtd_performance = ((prices / wtd_start_price) - 1) * 100\n",
    "eq_wtd_performance = ((eq_weekly_data / eq_wtd_start_price) - 1) * 100\n",
    "# Convert the index to a DateTimeIndex if it's not already\n",
    "eq_wtd_performance.index = pd.to_datetime(eq_wtd_performance.index)\n",
    "\n",
    "\n",
    "\n",
    "# Calculate the MTD Performance (%)\n",
    "eq_monthly_data = eq_prices[prev_monthend:]\n",
    "#mtd_start_price = prices.loc[prev_monthend]\n",
    "eq_mtd_start_price = eq_monthly_data.iloc[0] # First row of weekly_data is the start of the week\n",
    "#mtd_performance = ((prices / mtd_start_price) - 1) * 100\n",
    "eq_mtd_performance = ((eq_monthly_data / eq_mtd_start_price) - 1) * 100\n",
    "eq_mtd_performance.index = pd.to_datetime(eq_mtd_performance.index)\n",
    "\n",
    "# Calculate the YTD Performance (%)\n",
    "eq_ytd_start_price = eq_prices.loc[prev_yearend]\n",
    "eq_ytd_performance = ((eq_prices / eq_ytd_start_price) - 1) * 100\n",
    "eq_ytd_performance.index = pd.to_datetime(eq_ytd_performance.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "9cbaed2e-d77b-4695-b98c-22afd4035bf5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define a figure and axis\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "# Generate a range of numbers to use as x-axis positions\n",
    "x_positions = range(len(eq_wtd_performance))\n",
    "\n",
    "# Plot each column using the generated positions\n",
    "for column in eq_wtd_performance.columns:\n",
    "    ax.plot(x_positions, eq_wtd_performance[column], label=column)\n",
    "\n",
    "# Formatting the plot\n",
    "ax.set_title('WTD Performance (%)')\n",
    "ax.set_xlabel('Date')\n",
    "ax.set_ylabel('Performance (%)')\n",
    "ax.legend(title='Tickers', loc='lower right')  # Move legend to bottom right\n",
    "ax.grid(True)\n",
    "\n",
    "# Set the x-tick labels to the corresponding dates, ensuring only weekdays are shown\n",
    "ax.set_xticks(x_positions)  # Set the ticks to the position of your dates\n",
    "ax.set_xticklabels(eq_wtd_performance.index.strftime('%Y-%m-%d'))  # Format the labels from your index\n",
    "\n",
    "# Rotate date labels for better readability\n",
    "plt.setp(ax.get_xticklabels(), rotation=45)\n",
    "\n",
    "# Tighten the plot to ensure no overlap\n",
    "plt.tight_layout()\n",
    "\n",
    "# Use the string to format the filename\n",
    "filename_wtd = f'wtd_market_performance_summary_{latest_business_day_str}.png'\n",
    "\n",
    "# Save the figure with the dynamic filename\n",
    "plt.savefig(filename_wtd, bbox_inches='tight', dpi=300)\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "d6617aa2-d5d6-4107-aeed-8a147f8d3407",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define a figure and axis\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "# Generate a range of numbers to use as x-axis positions\n",
    "x_positions = range(len(eq_mtd_performance))\n",
    "\n",
    "# Plot each column using the generated positions\n",
    "for column in eq_mtd_performance.columns:\n",
    "    ax.plot(x_positions, eq_mtd_performance[column], label=column)\n",
    "\n",
    "# Formatting the plot\n",
    "ax.set_title('MTD Performance (%)')\n",
    "ax.set_xlabel('Date')\n",
    "ax.set_ylabel('Performance (%)')\n",
    "ax.legend(title='Tickers', loc='lower right')  # Move legend to bottom right\n",
    "ax.grid(True)\n",
    "\n",
    "# Set the x-tick labels to the corresponding dates, ensuring only weekdays are shown\n",
    "ax.set_xticks(x_positions)  # Set the ticks to the position of your dates\n",
    "ax.set_xticklabels(eq_mtd_performance.index.strftime('%Y-%m-%d'))  # Format the labels from your index\n",
    "\n",
    "# Rotate date labels for better readability\n",
    "plt.setp(ax.get_xticklabels(), rotation=45)\n",
    "\n",
    "# Tighten the plot to ensure no overlap\n",
    "plt.tight_layout()\n",
    "\n",
    "# Use the string to format the filename\n",
    "filename_mtd = f'mtd_market_performance_summary_{latest_business_day_str}.png'\n",
    "\n",
    "# Save the figure with the dynamic filename\n",
    "plt.savefig(filename_mtd, bbox_inches='tight', dpi=300)\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "e2f8972f-bea0-47d3-812e-edb6b4483e7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define a figure and axis\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "# Plot each column\n",
    "for column in eq_ytd_performance.columns:\n",
    "    ax.plot(eq_ytd_performance.index, eq_ytd_performance[column], label=column)\n",
    "\n",
    "# Formatting the plot\n",
    "ax.set_title('YTD Performance (%)')\n",
    "ax.set_xlabel('Date')\n",
    "ax.set_ylabel('Performance (%)')\n",
    "ax.legend(title='Tickers', loc='lower right')  # Move legend to bottom right\n",
    "ax.grid(True)\n",
    "\n",
    "# Set the x-tick labels to the corresponding dates, ensuring only weekdays are shown\n",
    "# Here, we will use MonthLocator to place a tick on the first weekday of each month\n",
    "ax.xaxis.set_major_locator(mdates.MonthLocator())\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))\n",
    "\n",
    "# Optionally, you can add minor ticks for more granularity without text labels\n",
    "ax.xaxis.set_minor_locator(mdates.WeekdayLocator(byweekday=mdates.MO))\n",
    "\n",
    "# Rotate date labels for better readability\n",
    "plt.setp(ax.get_xticklabels(), rotation=45)\n",
    "\n",
    "# Tighten the plot to ensure no overlap\n",
    "plt.tight_layout()\n",
    "\n",
    "# Use the string to format the filename\n",
    "filename_ytd = f'ytd_market_performance_summary_{latest_business_day_str}.png'\n",
    "\n",
    "# Save the figure with the dynamic filename\n",
    "plt.savefig(filename_ytd, bbox_inches='tight', dpi=300)\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8f5309a4-680f-4e00-8e5a-ffb93815d89c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7ff123a5-a08d-4c93-a235-0b68f2a94ffe",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d372c9b-bf79-4fbd-b46b-9d0e1ea65102",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "09aa7586-abf9-4120-ab76-69a51ece67b8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}