This project offers an enterprise-grade, AI-powered cryptocurrency futures trading bot designed for automated execution across multiple exchanges. It targets users seeking to leverage advanced machine learning for potentially high daily returns (claimed 8-27% PNL) and automated trading strategies, aiming to outperform traditional indicator-based bots.

How It Works

The bot employs an ensemble of advanced AI models, including Chronos T5, Chronos BOLT, and TimeGPT, for forecasting. It integrates real-time data streaming, millisecond-level signal generation, pattern detection, and sentiment analysis. A professional infrastructure layer supports GPU-accelerated processing and parallel pipelines for efficient model training and prediction, coupled with dynamic risk management features like ATR and trailing stop-loss.

Quick Start & Requirements

Setup involves configuring API keys for supported exchanges (Bitget, Blofin, Binance) in a .env file and adjusting trading parameters in config.py. A GPU is recommended for accelerated processing and model training. Python environment setup is implied by the provided code snippets. Specific installation commands and detailed dependency lists are not present in the README.

Highlighted Details

• Performance Claims: Average Daily PNL of 8-27% with a Maximum Drawdown below 9%.
• AI Models: Utilizes an ensemble of Chronos T5, Chronos BOLT, and TimeGPT, alongside pattern and sentiment analysis.
• Supported Exchanges: Bitget, Blofin, and Binance.
• Trading Pairs: SOL/USDT, ETH/USDT, DOGE/USDT, XRP/USDT.
• Automation: Fully automated trading execution.

Maintenance & Community

No specific details regarding maintainers, community channels (e.g., Discord, Slack), or roadmap are provided in the README snippet.

Licensing & Compatibility

The license type and compatibility notes for commercial use or closed-source linking are not specified in the provided README content.

Limitations & Caveats

The claimed daily PNL figures are exceptionally high and should be approached with significant caution. The project requires technical expertise for setup, API integration, and potentially GPU management. The absence of explicit licensing information poses a barrier to adoption for many users.