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I wanted to design a simple-complete backtest, which can be flexible, easy to use, and open to any possible strategy..

maurosuetta/Backtest-Trading-Environment

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Trading Bot Structure

This repository provides a modular structure for building trading bots. Below is an overview of each file and directory in the project:

Project Structure and File Descriptions

├── strategies/
│   └── Contains trading strategy modules. Each file here defines a specific algorithm or logic for trading decisions.
├── data/
│   └── Handles data sources and management. Includes scripts for fetching, processing, and storing market data.
├── execution/
│   └── Responsible for order execution logic. Modules here interact with exchanges to place, modify, or cancel trades.
├── config.yaml
│   └── Configuration file for the bot. Set exchange credentials, strategy parameters, and risk management options here.
├── main.py
│   └── The entry point of the bot. Loads configuration, initializes modules, and starts the trading loop.
└── README.md
  └── Project documentation and usage instructions.

Features

  • Modular architecture for strategy, data, and execution
  • Easy integration with multiple exchanges
  • Configurable risk management
  • Logging and monitoring support

Getting Started

  1. Clone the repository

    git clone https://github.com/your-username/trading-bot-structure.git
    cd trading-bot-structure
  2. Install dependencies

    pip install -r requirements.txt
  3. Configure your bot

    • Edit config.yaml to set up exchange credentials, strategies, and risk parameters.
  4. Run the bot

    python main.py

Contributing

Contributions are welcome! Please open issues or submit pull requests for improvements.

License

This project is licensed under the MIT License.

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I wanted to design a simple-complete backtest, which can be flexible, easy to use, and open to any possible strategy..

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