Explore live open-source projects and AI models.

event-driven trading and backtesting engine

This contains a series of statistical tests that allow you to determine whether certain stocks of the S&P500 and Nasdaq 100 exhibit an indicative pre-market price-action or not, and examines how the same stocks move during reporting periods.

Web app with TD Ameritrade integration, backtesting, and automated live trading. Nodejs and Angular

A collection of Python-based trading strategies designed for backtesting and market insights.

A first example of a trading strategy tested using the Grademark JavaScript backtesting API.

Illustration of the decorrelation method to perform backtesting on correlated data.

Open-source trading platform inspired by Bloomberg Terminal. Real-time data, backtesting & options analysis.

A professional framework for stock prediction using Transformer, LSTM, and tree-based models with comprehensive backtesting. Built on FinTSB and StockFormer research for financial practitioners seeking reliable, quantitative trading strategies.

Multi-language quant research lab built on Special Relativity in Financial Modeling (SRFM): black-hole physics signal, backtesting with Monte Carlo, Alpaca paper trading and an automated idea-discovery engine. Research code, not financial advice.

Connect and benchmark finance agent systems in one open-source platform, then trade on them. TradingAgents and AI Hedge Fund today, your own system through one adapter: a live front end for every agent, a database of every run, LLM and framework benchmarks, backtests, Interactive Brokers paper tr... Read more