Crypto_Future_Trading_Bot  by x89

AI crypto futures trading bot for high daily returns

Created 14 years ago
1,120 stars

Top 34.3% on SourcePulse

GitHubView on GitHub
Project Summary

This repository offers an enterprise-grade AI Crypto Futures Trading Bot, engineered for fully automated, high-frequency trading. It targets sophisticated traders aiming to leverage advanced machine learning for potentially significant daily returns (8-27% PNL) across major exchanges like Bitget, Blofin, and Binance. The bot provides automated execution driven by AI-powered predictions and real-time market analysis.

How It Works

The system employs an ensemble of advanced AI models, including Chronos T5, Chronos BOLT, and TimeGPT, augmented by pattern recognition and sentiment analysis for forecasting. It processes real-time data streams from multiple exchanges, generating trading signals with millisecond-level precision. A professional infrastructure supports GPU-accelerated processing and parallel pipelines, enabling dynamic risk management via ATR and trailing stop-loss mechanisms for robust, automated decision-making.

Quick Start & Requirements

Setup involves configuring API keys for supported exchanges (Bitget, Blofin, Binance) in a .env file, referencing .env.example. A trading VPS is recommended (tradoxvps.com). Python code examples demonstrate data collection, AI forecasting, and signal generation. Configuration files (config.py) allow customization of trading parameters, AI model ensembles, prediction horizons, and risk management strategies (e.g., leverage, risk per trade, max daily loss). GPU hardware is implied for optimal performance.

Highlighted Details

  • Performance: Claims an average daily PNL of 8-27% with a maximum drawdown below 9%.
  • Supported Assets: Trades SOL/USDT, ETH/USDT, DOGE/USDT, and XRP/USDT on Bitget, Blofin, and Binance.
  • AI Core: Utilizes an ensemble of Chronos T5, Chronos BOLT, TimeGPT, pattern detection, and sentiment analysis.
  • Infrastructure: Features GPU-accelerated processing, parallel training/prediction pipelines, and cloud-ready Ubuntu server management.

Maintenance & Community

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

Licensing & Compatibility

The README does not specify a software license. This omission prevents clear understanding of usage rights, modification permissions, and compatibility for commercial or closed-source integration.

Limitations & Caveats

The project's extremely high claimed daily PNL (8-27%) warrants significant skepticism due to the inherent volatility and risk in cryptocurrency futures trading. The absence of a stated license is a critical adoption blocker. A specific VPS provider (tradoxvps.com) is recommended, potentially indicating an affiliate relationship or a specific operational requirement.

Health Check
Last Commit

1 week ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
3
Star History
12 stars in the last 30 days

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