Trading Strategy Backtester

A simple web application that allows you to backtest a trading strategy using moving average crossovers. This project uses Python, Streamlit, and Yahoo Finance data.

Features

• Fetches historical stock data from Yahoo Finance
• Implements a short and long moving average crossover strategy
• Displays buy and sell signals on an interactive chart
• Allows customization of parameters such as time range and moving average windows

Installation

Clone this repository:

git clone https://github.com/Konikz/Trading_Strategy_Backtester.git

Navigate to the project folder:

cd Trading_Strategy_Backtester

Install the required dependencies:

pip install -r requirements.txt

If you do not have a requirements.txt file, install dependencies manually:

pip install streamlit yfinance pandas matplotlib

Usage

Run the Streamlit application:

streamlit run app.py

A new browser window will open. You can then:

• Enter the stock ticker symbol (e.g., AAPL).
• Specify the date range.
• Adjust the short and long moving average windows.
• Observe the plotted stock price and moving averages, along with buy and sell signals.

Project Structure

Trading_Strategy_Backtester/
│
├── app.py             # Main Streamlit application
├── backtester.py      # Optional script for local backtesting
├── requirements.txt   # List of Python dependencies
└── README.md          # Project documentation

Contributing

Contributions are welcome. To propose a change:

1. Fork the repository.
2. Create a new feature branch.
3. Commit your changes.
4. Open a pull request.