Explore live open-source projects and AI models.

Real-time forex trading system with modular architecture, multi-timeframe signal generation, GMM-based regime detection, Kelly-based risk management, and CLI tools for backtesting, monitoring, and performance analysis.

Agent Skill for Portfolio123 (P123): 464 functions, 4456 factors, verified line-by-line against official docs. Factor investing, screening, ranking systems, backtesting, and p123api Python wrapper. Works with Claude Code, Cursor, and Codex.

An open-source AI hedge fund. A panel of AI analysts and quant models research tickers, each forms a view, and the portfolio layer turns those views into positions — with backtesting, risk controls and a full audit trail of every decision.

11 hands-on quant trading projects in Python: backtesting, options pricing, stat arb, ML prediction, and execution algorithms.

This repo contains backtesting scripts for various models(mainly LSTM) using different type of datasets to predict bitcoin price. 
Upto 98.7% accuracy, but let me tell you it’s not enough to generate profits on a regular basis ;)

Quant AI and trading AI skills for quant agents and AI trading agents: causal market analysis, investment research, trading strategy discovery, alpha discovery, backtesting, and validation with Abel.

The backtest package provides facilities for exploring portfolio-based conjectures about financial instruments (stocks, bonds, swaps, options, et cetera).

A c# trading strategy backtesting framework

Example of CTA strategy backtesting.

Python backtesting engine built on NautilusTrader for end-to-end quant research: market data ingestion/validation, microstructure calibration, single-asset and stat-arb strategy creation, walk-forward optimization, analytics, portfolio-of-strategies backtesting, and portfolio weight optimization.