Algorithmic Trading | Self Project

Overview

This project focuses on developing and implementing an intraday Algorithmic Trading strategy designed for the Indian stock market. The strategy was thoroughly backtested using historical data and automated for real-time trading execution.

Project Objective

The primary goal of this project is to:

• Develop an intraday Algorithmic Trading strategy.
• Implement an automated trading system that can execute trades based on the strategy.

Key Features

• Data Analysis:
  • Analyzed comprehensive 2-year OHLC (Open, High, Low, Close) data of stocks in the NIFTY200 index.
  • Strategically identified potential stocks for buy/short positions.
• Strategy Development & Backtesting:
  • Developed and backtested the trading strategy on 1-year historical data.
  • Utilized the yfinance library for data retrieval and performed optimization of stop-loss and take profit levels.
• Automation:
  • Successfully automated trade execution using Zerodha’s Kite Connect API.
  • Enabled seamless transactions with real-time integration, ensuring quick and efficient order placements.

Result

The project resulted in the creation of a risk-optimized intraday trading strategy that utilizes AMO (After Market Orders) and Market orders. The strategy was tested and demonstrated the capability to deliver positive returns.

Technology Stack

• Python: Core language used for development and data analysis.
• yfinance: Library used for fetching historical stock data.
• Zerodha Kite Connect API: Used for automating trade execution.

Link to the github repo