AI-Hedge-Fund for Crypto π AI-powered hedge fund for cryptocurrency trading, leveraging LLM agents for intelligent decision-making.
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Updated
Sep 5, 2025 - Python
AI-Hedge-Fund for Crypto π AI-powered hedge fund for cryptocurrency trading, leveraging LLM agents for intelligent decision-making.
A Hedge Fund of AI Agents that work together to gather stock data, analyse it, and execute buy and sell orders based on the results
AI-native hedge fund using multi-agent LLM system with real market data and paper trading.
A Python-powered Quant Hedge Fund System with automated data ingestion, backtesting, and trade execution using MLflow, Luigi, Prefect, and Interactive Brokers
The most powerful open-source TradingView AI agent. 50 tools, 15 models (Claude, GPT, Gemini, Qwen, DeepSeek, MiniMax), Pine Script v6, quant/HFT/hedge fund skills.
AI trading desk with 42 hedge fund agents for Claude Code. Trade crypto & stocks like James Livermore, Jim Simons, or George Soros. Works with Cube.Exchange, OKX, Kraken, Binance, Coinbase, and 100+ exchanges. Hire agents, fire underperformers, backtest strategies.
π AlphaCrew: Production-grade multi-agent hedge fund platform powered by CrewAI Enterprise. Features live trading via Alpaca, real-time performance monitoring with Grafana, and human oversight through Slack. Built for sophisticated algorithmic trading and portfolio management.
AI hedge fund. Focus on undervalued stocks. Live performance, trade history, and stock analysis shared openly on https://undervalued.ai
Global rates divergence study: cross-market yield curves, term premium, and macro trade frameworks
RL reward modeling + episodic trade memory + LoRA fine-tuning pipeline built on top of a multi-agent LLM trading system β LangGraph, LangChain, PEFT
SQL-powered dashboard project for analyzing macroeconomic indicators across countries
Dynamic blueprint of how your firm thinks, decides, and deploys capital
Eagle AI is a web application designed to provide users with access to institutional-grade crypto investment opportunities. The platform features a user-friendly interface, allowing users to register for a waitlist, learn about investment options, and stay updated on the latest developments in the crypto space.
AI-powered FOMC decision tracker built for macro hedge fund research. Combines LLM analysis with rates data to generate real-time policy tone intelligence.
An autonomous quantitative trading architecture powered by a proprietary Triple-Node Consensus engine. It merges high-speed technical mathematics, Groq LLM sentiment analysis, and PgVector RAG-embedded SEC filings to validate market setups, autonomously executing risk-managed bracket orders via the Alpaca API with immutable audit logging.
π AI Investment Advisor (v1.0): ε°ζ₯η΄ 7-Agent Swarm ζΊθ½ι«ιηΎ€γζ΄ε Council Debate θΎ―θ«ζ©εΆγpgvector θͺηΎ©θ¨ζΆθε€ε±€η΄ LLM θ·―η±γA self-optimizing quantitative ecosystem built with Clean Architecture, DSPy, and 75%+ test coverage. π
π Build and operate your own quant hedge fund with this complete Python-based algorithmic trading system.
π Optimize trading decisions for Vietnamese stocks using a multi-agent pipeline that integrates data analysis and risk management for smarter investments.
π Build and run your own quant hedge fund with this complete Python-powered algorithmic trading system.
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