Awesome AI Agents › Financial & Trading Systems

51bitquant/ai-hedge-fund-crypto

⭐ 618 Python added to this list on 2025-06-16 repository created 2025-03-23

AI Hedge Fund Crypto is an advanced algorithmic trading framework designed specifically for cryptocurrency markets. It leverages a graph-based workflow architecture combined with ensemble technical analysis and AI language models to make intelligent, data-driven trading decisions. The system uses a directed acyclic graph (DAG) of specialized nodes to perform multi-timeframe analysis, enabling sophisticated signal generation by aggregating diverse trading strategies such as trend following, mean reversion, momentum, volatility, and statistical arbitrage. At its core, the framework builds upon LangGraph's computational graph architecture, processing market data through a pipeline of technical analysis nodes that implement a BaseNode interface for multi-interval data across multiple assets simultaneously. The signals generated by these strategies are adaptively weighted and combined, with risk parameters evaluated to inform position management decisions through large language model (LLM) analysis. Key features include AI-enhanced decision making where LLMs are integrated for portfolio management, a compositional architecture with distinct nodes for data fetching, strategy execution, risk management, and portfolio management, and a signal ensemble approach that aggregates multiple technical strategies. The system supports multi-timeframe analysis, processing data across various intervals such as 5 minutes to 1 day, providing robust signals that capture both short-term and long-term market trends. It also offers dynamic strategy visualization through automatic generation of computational graph visualizations, comprehensive backtesting with detailed performance metrics and visualizations, and a highly configurable DAG architecture that allows users to customize strategies and timeframes without modifying core code. The node-based workflow system includes start nodes, data nodes for specific intervals, strategy nodes applying technical analysis, risk management nodes evaluating position limits, and portfolio management nodes making final trading decisions using LLM reasoning. The modular design allows easy experimentation with different strategy combinations and custom strategy creation. The system is designed for flexibility, parallel processing, isolation of components, extensibility, and visualization of workflows. It supports multiple technical indicators like MACD, RSI, and Bollinger Bands, and provides detailed backtesting results demonstrating profitability, risk management, and adaptability to market dynamics. Overall, AI Hedge Fund Crypto is a sophisticated, modular, and AI-powered trading framework that empowers users to implement, backtest, and manage cryptocurrency trading strategies with advanced multi-timeframe analysis and LLM-based decision refinement.

https://github.com/51bitquant/ai-hedge-fund-crypto

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