by 51bitquant · Agent Tool · ★ 527
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AI Hedge Fund Crypto A next-generation algorithmic trading framework that leverages graph-based workflow architecture, ensemble technical analysis, and AI language models to make data-driven cryptocurrency trading decisions. This system employs a directed acyclic graph (DAG) of specialized nodes for multi-timeframe analysis, enabling sophisticated signal generation through weighted combinations of diverse trading strategies. At its core, the system builds upon LangGraph's computational graph architecture to process market data through a pipeline of technical analysis nodes. Each strategy implements a BaseNode interface that processes multi-interval data for multiple assets simultaneously. The framework then aggregates these signals using adaptive weighting mechanisms, evaluates risk parameters, and formulates position management decisions through large language model (LLM) analysis.
| Stars | 527 |
| Forks | 143 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 39.25/100 |
| Open Issues | 8 |
| Last Updated | 2025-09-05 |
| Created | 2025-03-23 |
| Platforms | python |
| Est. Tokens | ~70k |
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ai-hedge-fund-crypto is AI-Hedge-Fund for Crypto 🚀 AI-powered hedge fund for cryptocurrency trading, leveraging LLM agents for intelligent decision-making.. It is categorized as a Agent Tool with 527 GitHub stars.
ai-hedge-fund-crypto is primarily written in Python. It covers topics such as ai-agent, ai-trading, ai-trading-agent.
You can find installation instructions and usage details in the ai-hedge-fund-crypto GitHub repository at github.com/51bitquant/ai-hedge-fund-crypto. The project has 527 stars and 143 forks, indicating an active community.
ai-hedge-fund-crypto is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-hedge-fund-crypto on Agent Skills Hub include best-of-algorithmic-trading, wcgw, sagify. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.