first install tk/tcl for your respective system.

StrategyBuilder

A powerful tool for developing, testing, and analyzing trading strategies using Python and Polars.

Features

• 📊 Strategy Development

  • Create custom trading strategies using technical indicators
  • Flexible signal generation system

• 🔄 To Do

• Performance Analysis

• Strategy Optimization

• Backtesting

• Performance Metrics

Installation

1. Clone the repository:

git clone https://github.com/yourusername/StrategyBuilder.git

2. Create and activate a virtual environment:

python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

Usage

Basic Example

just run main.py

• select indicator library (currently only ta-lib and custom libs are supported)
• add indicators (click add button)
• after done selecting indicators click next button
• [optional] if you want to add shift, rolling mean, etc then select on "special case windows" option and dont forgate to add
• if dont want anything click next button
• on "create strategy window" select what do you want to do
• you can add multiple conditions there
• click finalise button to get strategy build

Data Requirements

in csv format The tool expects your data to have at least these columns:

• date: Date of the data point
• open: Opening price
• high: Highest price
• low: Lowest price
• close: Closing price
• volume: Trading volume (optional)

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details

Acknowledgments

• Thanks to the Polars team for their amazing DataFrame library
• Special thanks to the open-source community for all the tools and libraries used in this project