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195440Autonomous AI trading agent for cryptocurrency markets
Top 67.6% on SourcePulse
This project provides an autonomous AI-driven cryptocurrency trading system, integrating large language models (LLMs) with quantitative trading strategies. It targets traders and power users seeking to leverage AI for market analysis and automated trade execution with minimal human intervention, moving beyond traditional rule-based systems.
How It Works
The system is built on the VoltAgent framework, featuring a Trading Agent powered by LLMs (e.g., DeepSeek V3.2, Grok4, Claude) responsible for autonomous market data analysis, position management, and trade execution decisions. This agent interacts with the VoltAgent Core for orchestration and tool routing. Trading tools provide access to market data, account information, and trade execution capabilities, interfacing with a Gate.io API client for order management and position queries. Local data persistence is handled by LibSQL (SQLite). This approach allows AI models to learn and decide based on raw market data, offering a novel alternative to hardcoded trading rules.
Quick Start & Requirements
npm install, npm run db:init, then npm run dev for development or npm run trading:start for production..env file is required for server settings, trading parameters (interval, leverage, max positions, holding hours, initial balance), API keys, AI model selection, and account drawdown risk controls.Highlighted Details
Maintenance & Community
The project provides comprehensive documentation and contribution guidelines. While specific community channels like Discord or Slack are not explicitly mentioned in the README, the project encourages contributions. Gate.io referral links are provided as a way to support ongoing development.
Licensing & Compatibility
Limitations & Caveats
This system is intended for educational and research purposes only, and cryptocurrency trading involves significant financial risk, potentially leading to total capital loss. Users are strongly advised to test strategies thoroughly on the testnet before engaging in live trading and should only invest funds they can afford to lose. The system provides no performance guarantees or warranties.
6 days ago
Inactive