VWAP.ipynb

{
 "cells": [
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **Algorithmic Trading** \n",
    "\n",
    "**Resources** -\n",
    "Avellaneda, Marco. Algorithmic and High-Frequency Trading. New York: Publisher, 2011.\n",
    "\n",
    "In the recent years, algorithmic trading has surged as evidenced by the increasing share of orders executed through automated systems. This trend, as depicted by the graph, underscores the growing reliance on high-frequency trading and direct market access (DMA). DMA encourages institutional investors to access the exchange directly without any intermediaries or brokers coming in the way which reduces the additional costs that could be involved while purchasing stocks. High-Touch Orders on the contrary have witnessed a fall over the years. High-Touch Orders are the opposite of automated trading. They are rather more personalized toward the needs of the client and focus on the time, funds left for making a purchase, etc. \n",
    "\n",
    "This project is primarily going to serve as an overview of the potential algorithms that could be used to make accurate decisions after which I hope to develop a program that provides the statistics of each company calculated based on historical as well as real-time data. I will be using the above listed reference to implement algorithms and hopefully make an ML model that could learn from past results to make more accurate and precise decisions for all the companies across all the markets. \n",
    "\n",
    "![image.png](attachment:image.png)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use Volume Weighted Average Price (VWAP) as a parameter. The volume change during the course of the day is usually less in the middle. To execute large orders, the way in which we split the orders usually depends on the time of the day (in order to minimize the impact). Looking at the time of the day when splitting huge orders can help reduce the market impact in algorithmic trading by leveraging market conditons and liquidity dynamics.\n",
    "\n",
    "When there is a large quantity of buyers and sellers, there is generally high liquidity in the market which is the best time to trade in stocks since the abundance of market participants helps absorb large buy and sell orders more effectively. As a result, executing large orders during times of high liquidity periods can substantially reduce the risk of causing significant price movements due to the order itself. \n",
    "\n",
    "\"High liquidity primarily contributes to market effeciency by facilitating price discovery and further ensuring the asset prices reflect all the available information of the company. Effecient \n",
    "markets, with the liquidity being high, enable traders to execute trades at fair prices and further minimize the impact of large transactions on the overall market stability.\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# *Thesis Statement*\n",
    "\n",
    "\"This project primarily aims to demonstrate how analyzing the Volume Weighted Average Price (VWAP) and the intraday liquidity patterns can optimize algorithmic trading strategies, reduce market impact, and enhance the trade execution efficiency.\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# *Project Overview*\n",
    "\n",
    "I will be using the Alpha Vantage API to acquire real-time and historical data. This data will be used to backtest our algorithm, which is built on the principles of Volume Weighted Average Price (VWAP) and market liquidity over specific time intervals."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import requests"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# My objective for this part is to estimate the average volume that is traded in a five minute interval for a particular company and then find out the number of orders that must be executed in proportion to the normative volume for that particular interval. Volume functions are usually built on the historical data of the company. \n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Volume Weighted Average Price (VWAP), over a given time interval (from t1 to t2), is calculated by taking the summation of the product of the volume and price for each trade during that interval, and then dividing by the total volume traded during the same interval."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# I will be storing the Volume Weighted Average Prices of all the stocks that come under the S&P 500 index in a dataframe and I will be delving further into my hypothesis based on operations conducted on this dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "sp_500 = pd.read_csv('sp_500_stocks.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Ticker</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AAP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AAPL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ABBV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>YUM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>ZBH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>ZBRA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>ZION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>ZTS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>503 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Ticker\n",
       "0        A\n",
       "1      AAL\n",
       "2      AAP\n",
       "3     AAPL\n",
       "4     ABBV\n",
       "..     ...\n",
       "498    YUM\n",
       "499    ZBH\n",
       "500   ZBRA\n",
       "501   ZION\n",
       "502    ZTS\n",
       "\n",
       "[503 rows x 1 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# These are all the tickers for which we will be finding there respective Volume Weighted Average Price\n",
    "sp_500"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# import requests\n",
    "\n",
    "# VMAP_df = pd.DataFrame(columns = ['Ticker', 'VMAP'])\n",
    "\n",
    "# # Alpha Vantage endpoint and the API key for the request\n",
    "# VWAP_records = []\n",
    "# for i in range(len(sp_500)):\n",
    "#     ticker = sp_500['Ticker'][i]\n",
    "#     base_url = 'https://www.alphavantage.co/query'\n",
    "#     API_key = 'RDEU4MEC2ORKT5HY'\n",
    "#     params = {\n",
    "#         'function': 'VWAP',\n",
    "#         'symbol': ticker,\n",
    "#         'interval': '15min',\n",
    "#         'apikey': API_key\n",
    "#     }\n",
    "\n",
    "#     response = requests.get(base_url, params = params)\n",
    "#     response_json = response.json()\n",
    "#     # just for testing, I will be extracting the latest Volume Weighted Average Price of all the stocks that come under S&P 500\n",
    "#     latest_VWAP = list(response_json['Technical Analysis: VWAP'].values())[0]['VWAP']\n",
    "#     VWAP_records.append({'Ticker': ticker, 'Value Weighted Average Price': latest_VWAP})\n",
    "\n",
    "# # Converting the records in the form of dictionaries to a dataframe\n",
    "# VWAP_df = pd.DataFrame(VWAP_records)\n",
    "# VWAP_df.to_csv('VMAP.csv', index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Requirement already satisfied: yahoo_fin in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (0.8.9.1)\n",
      "Requirement already satisfied: requests-html in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from yahoo_fin) (0.10.0)\n",
      "Requirement already satisfied: feedparser in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from yahoo_fin) (6.0.11)\n",
      "Requirement already satisfied: requests in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from yahoo_fin) (2.31.0)\n",
      "Requirement already satisfied: pandas in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from yahoo_fin) (2.1.4)\n",
      "Requirement already satisfied: sgmllib3k in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from feedparser->yahoo_fin) (1.0.0)\n",
      "Requirement already satisfied: numpy<2,>=1.22.4 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from pandas->yahoo_fin) (1.26.4)\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from pandas->yahoo_fin) (2.8.2)\n",
      "Requirement already satisfied: pytz>=2020.1 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from pandas->yahoo_fin) (2023.3.post1)\n",
      "Requirement already satisfied: tzdata>=2022.1 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from pandas->yahoo_fin) (2023.4)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from requests->yahoo_fin) (3.3.2)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from requests->yahoo_fin) (3.6)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from requests->yahoo_fin) (1.26.18)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from requests->yahoo_fin) (2023.11.17)\n",
      "Requirement already satisfied: pyquery in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from requests-html->yahoo_fin) (2.0.0)\n",
      "Requirement already satisfied: fake-useragent in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from requests-html->yahoo_fin) (1.5.1)\n",
      "Requirement already satisfied: parse in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from requests-html->yahoo_fin) (1.20.2)\n",
      "Requirement already satisfied: bs4 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from requests-html->yahoo_fin) (0.0.2)\n",
      "Requirement already satisfied: w3lib in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from requests-html->yahoo_fin) (2.2.1)\n",
      "Requirement already satisfied: pyppeteer>=0.0.14 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from requests-html->yahoo_fin) (2.0.0)\n",
      "Requirement already satisfied: appdirs<2.0.0,>=1.4.3 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from pyppeteer>=0.0.14->requests-html->yahoo_fin) (1.4.4)\n",
      "Requirement already satisfied: importlib-metadata>=1.4 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from pyppeteer>=0.0.14->requests-html->yahoo_fin) (6.11.0)\n",
      "Requirement already satisfied: pyee<12.0.0,>=11.0.0 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from pyppeteer>=0.0.14->requests-html->yahoo_fin) (11.1.0)\n",
      "Requirement already satisfied: tqdm<5.0.0,>=4.42.1 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from pyppeteer>=0.0.14->requests-html->yahoo_fin) (4.66.1)\n",
      "Requirement already satisfied: websockets<11.0,>=10.0 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from pyppeteer>=0.0.14->requests-html->yahoo_fin) (10.4)\n",
      "Requirement already satisfied: six>=1.5 in /Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/site-packages (from python-dateutil>=2.8.2->pandas->yahoo_fin) (1.15.0)\n",
      "Requirement already satisfied: beautifulsoup4 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from bs4->requests-html->yahoo_fin) (4.12.3)\n",
      "Requirement already satisfied: importlib-resources>=5.0 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from fake-useragent->requests-html->yahoo_fin) (6.4.0)\n",
      "Requirement already satisfied: lxml>=2.1 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from pyquery->requests-html->yahoo_fin) (5.2.2)\n",
      "Requirement already satisfied: cssselect>=1.2.0 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from pyquery->requests-html->yahoo_fin) (1.2.0)\n",
      "Requirement already satisfied: zipp>=0.5 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from importlib-metadata>=1.4->pyppeteer>=0.0.14->requests-html->yahoo_fin) (3.17.0)\n",
      "Requirement already satisfied: typing-extensions in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from pyee<12.0.0,>=11.0.0->pyppeteer>=0.0.14->requests-html->yahoo_fin) (4.9.0)\n",
      "Requirement already satisfied: soupsieve>1.2 in /Users/induranasingh/Library/Python/3.9/lib/python/site-packages (from beautifulsoup4->bs4->requests-html->yahoo_fin) (2.5)\n",
      "Note: you may need to restart the kernel to use updated packages.\n",
      "Warning - Certain functionality \n",
      "             requires requests_html, which is not installed.\n",
      "             \n",
      "             Install using: \n",
      "             pip install requests_html\n",
      "             \n",
      "             After installation, you may have to restart your Python session.\n"
     ]
    }
   ],
   "source": [
    "# I don't want to pay 50 dollars a month for the API key, so I will try using the Yahoo Finance API to get the Volume Weighted Average Price instead. \n",
    "\n",
    "# In this section, I will be exploring the Yahoo Finance API to get a rough idea of how to get the Volume Weighted Average Price of a stock.\n",
    "# The Yahoo_fin library has two options mainly - 1) stock_info module and 2) options module\n",
    "\n",
    "\n",
    "# downloading historical data of all the tickers in the S&P 500 list using the Yahoo_fin library\n",
    "%pip install yahoo_fin\n",
    "from yahoo_fin.stock_info import get_data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now that we have imported the get_data function from the yahoo_fin.stock_info module, we can use this function to get the historical data of all the stocks in the S&P 500 list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import shutil\n",
    "\n",
    "historical_data = {}\n",
    "# I will be setting the date range from 1st January 2000 to 1st January 2024\n",
    "for i in range(len(sp_500)):\n",
    "    ticker = sp_500['Ticker'][i]\n",
    "    try:\n",
    "        # Attempt to retrieve data for the ticker\n",
    "        data = get_data('A', start_date='01/01/2000', end_date='01/01/2024', index_as_date=True, interval='1wk')\n",
    "        historical_data[ticker] = data\n",
    "    except AssertionError as e:\n",
    "        print(f\"No data found for {ticker}: {e}\")\n",
    "\n",
    "# I will be saving the historical data of all the stocks in the S&P 500 list to a csv file\n",
    "for ticker, data in historical_data.items():\n",
    "    filename = f'{ticker}.csv'\n",
    "    data.to_csv(filename)\n",
    "    dstn_folder = 'sp_500_data'\n",
    "    shutil.move(filename, os.path.join(dstn_folder, filename))"
   ]
  }
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