An AI Hedge Fund Team
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Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
- quantitative-finance
- machine-learning
- stock-data
- platform
"Vibe-Trading: Your Personal Trading Agent"
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
- trading-strategies
- quantitative-trading
- trading-bot
- quantitative-finance
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
- backtesting
- trading
- algorithmic-trading
- trading-strategies
Portfolio analytics for quants, written in Python
- quant
- algotrading
- algorithmic-trading
- quantitative-trading
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
- trading-bot
- python
- bitcoin
- ai-trading
MCP server for market analysis in AI assistants: screeners, multi-timeframe technical analysis, backtests and sentiment for crypto, stocks, forex and futures. 39 tools. Self-host free, or use the hosted version, TradingMCP.
- claude-desktop
- cryptocurrency
- mcp-server
- mcp-tools
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
- machine-learning
- trading
- investing
- research
ATLAS by General Intelligence Capital — Self-improving AI trading agents using Karpathy-style autoresearch
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
- reinforcement-learning
- supervised-learning
- stock-data
- trading
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
SHKeeper is a self-hosted and open-source cryptocurrency gateway payment processor. It's integrate with popular CMS, any e-commerce, your own code or product
- accept-crypto
- accept-crypto-payments
- crypto
- crypto-gateway
QuantJourney Backtester
- backtester
- backtester-python
- backtesting
- strategies
Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.
- algorithmic-trading
- kalshi
- polymarket
- python
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Trading environnement for RL agents, backtesting and training.
- trading
- backtesting
- reinforcement-learning-agent
- reinforcement-learning
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
- cryptocurrency
- exchange
- trade
- data
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.
- algorithmic-trading
- cryptocurrency
- ethereum
- moving-average