Best Trading Bot (BTB)

A powerful, customizable cryptocurrency trading bot with machine learning capabilities

📖 Overview

Best Trading Bot (BTB) is a sophisticated cryptocurrency trading platform designed for both beginners and experienced traders. It combines traditional trading strategies with advanced machine learning models to automate and optimize your trading decisions.

Key Features

• 📊 Multiple Trading Strategies: Choose from various built-in strategies or create your own custom approach
• 🔍 Advanced Backtesting Engine: Test strategies against historical data with comprehensive performance metrics
• ⚡ Real-time Trading: Execute trades automatically on supported cryptocurrency exchanges
• 🤖 Machine Learning Models: Leverage predictive models to enhance trading decisions
• 📈 Data Analysis Tools: Visualize market trends and performance metrics
• ⚙️ Highly Customizable: Tailor settings to your specific trading preferences

🚀 Quick Start

Installation

# Clone the repository
git clone https://github.com/gianlucamazza/btb-besttradingbot.git
cd btb-besttradingbot

# Create and activate a virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install dependencies
pip install -e .

Basic Usage

from btb.bot import TradingBot
from btb.config import load_config

# Load configuration
config = load_config('config/default.json')

# Initialize and run the trading bot
bot = TradingBot(config)
bot.run()

For more detailed instructions, see the Quick Start Guide.

📚 Documentation

Complete documentation is available at our documentation site.

Key sections:

• Installation Guide
• Configuration Options
• Trading Strategies
• Backtesting Framework
• Machine Learning Models
• API Reference

🏗️ Project Structure

btb-besttradingbot/
├── btb/                 # Core source code
│   ├── strategies/      # Trading strategies
│   ├── models/          # ML models
│   ├── data/            # Data handling
│   └── utils/           # Utility functions
├── config/              # Configuration files
├── docs/                # Documentation
├── notebooks/           # Jupyter notebooks
├── tests/               # Unit tests
└── results/             # Backtesting results

🤝 Contributing

Contributions are welcome! Please see our Contributing Guidelines for details on how to get started.

Development Setup

# Install development dependencies
pip install -e ".[dev]"

# Set up pre-commit hooks
pre-commit install

📜 License

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

⭐ Show Your Support

If you find BTB useful, please consider giving it a star on GitHub and sharing it with others!