devfrancois / reinforcement-trading

A collection of reinforcement learning trading bots

Market Making Trading Bot

This trading bot is designed to perform market making strategies on the Binance exchange for the SOL/USDT trading pair. It uses reinforcement learning with a Q deep neural network to make trading decisions. The bot interacts with the Binance API using the CCXT library, and it operates on a 5-second timeframe.

Features

• Market making strategy based on reinforcement learning
• Q deep neural network for decision making
• Order management with risk control
• Fetches live data using Binance WebSocket API
• Ensures minimum notional value and complies with Binance trading rules

Requirements

• Python 3.6 or higher
• CCXT library
• NumPy
• TensorFlow

Installation

1. Clone this repository:

git clone https://github.com/eomii/reinforcement-trading.git

2. Install the required libraries:

pip install -r requirements.txt

3. Set up your Binance API key and secret in the qdnnv1.py file.

API_KEY = 'your-api-key'
API_SECRET = 'your-api-secret'

Usage

1. Run the trading bot:

python qdnnv1.py

2. Monitor the bot's trading activity and performance.

Note: This trading bot is for educational purposes only. Use it at your own risk. The developers are not responsible for any financial losses incurred while using this bot.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests to improve the trading bot.