MACD Trading Strategy Visualizer

This project is a web-based stock trading dashboard that implements a momentum trading strategy using technical indicators. It allows users to analyze stock data, visualize trading signals, and simulate portfolio performance.

Features

• Fetch historical stock data for multiple tickers
• Calculate technical indicators (MACD, RSI)
• Generate buy/sell signals based on MACD crossovers
• Implement a simple trading strategy
• Visualize stock prices, indicators, and trading signals
• Simulate portfolio performance

Technologies Used

• Backend: Python, Flask
• Frontend: HTML, JavaScript, CSS
• Data Analysis: pandas, numpy, yfinance, ta (Technical Analysis library)
• Visualization: matplotlib

Setup and Installation

1. Clone the repository:

2.  git clone https://github.com/varunbudati/MACD-Trading-Strategy-Visualizer.git
   

3.  cd MACD-Trading-Strategy-Visualizer
   

4. Install required Python packages: pip install flask pandas numpy yfinance ta matplotlib
5. Run the Flask application: python app.py
6. Open a web browser and navigate to http://localhost:5000 to access the dashboard.

Usage

1. Select one or more stock tickers from the preset list or add custom tickers.
2. Choose a date range for analysis.
3. Click "Get Data" to fetch and analyze the stock data.
4. View the generated charts showing stock prices, MACD indicators, and buy/sell signals.
5. Analyze the simulated portfolio performance based on the implemented trading strategy.

Project Structure

• app.py: Flask application serving as the backend
• Trading.py: Contains core functions for data processing and strategy implementation
• index.html: Frontend HTML template for the dashboard

Contributing

Contributions to improve the project are welcome. Please follow these steps:

1. Fork the repository
2. Create a new branch (git checkout -b feature-branch)
3. Make your changes and commit (git commit -am 'Add some feature')
4. Push to the branch (git push origin feature-branch)
5. Create a new Pull Request

Disclaimer

This project is for educational purposes only. The implemented trading strategy is a basic example and should not be used for actual trading without thorough testing and risk management considerations.

Images From Execution