AI-Hedge-Fund for Crypto 🚀 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

Global rates divergence study: cross-market yield curves, term premium, and macro trade frameworks

🚀 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

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.

APEX - AI-powered autonomous multi-agent crypto hedge fund on Hyperliquid perpetual futures

An AI Hedge Fund Team

SQL-powered dashboard project for analyzing macroeconomic indicators across countries

AI-powered FOMC decision tracker built for macro hedge fund research. Combines LLM analysis with rates data to generate real-time policy tone intelligence.

🚀 AI Investment Advisor (v1.0): 專業級 7-Agent Swarm 智能體集群。整合 Council Debate 辯論機制、pgvector 語義記憶與多層級 LLM 路由。A self-optimizing quantitative ecosystem built with Clean Architecture, DSPy, and 75%+ test coverage. 📈

📈 Build and operate your own quant hedge fund with this complete Python-based algorithmic trading system.

Institutional-grade algorithmic trading engine for MT5. Features a hybrid decision matrix combining AI sentiment analysis (Llama-3), global macro-regime detection (RSS), and 5-year statistical seasonality.

Comprehensive notes on Ray Dalio's Principles — life, work, and investment frameworks from the Bridgewater founder

This analysis evaluates the All-Weather portfolio strategy’s performance during the 2020-2025 period, with particular focus on the 2022 inflation shock and Federal Reserve rate-hiking cycle. The study examines whether static risk parity allocations designed for the 1981-2020 disinflationary regime remain viable.

Adaptive Hedge Fund Trading System - Multi-factor alpha with regime-adaptive exposure management

Track what Buffett, Dalio, and Griffin are buying — SEC 13F filings made simple. CLI tool powered by SEC EDGAR Financial Data API.

Kirmani Partners LP - Interactive investment pitchbook with performance analytics and strategy overview