Popular GitHub Repositories for Backtesting

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Roboquant is a fast, flexible, user-friendly and completely free algorithmic trading platform

?This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com

AmazingQuant——为交易而生的智能投研Lab。包含策略组合研究服务、量化数据服务、指标计算服务、绩效分析服务四大功能模块。

请访问 ?www.jieyu.ai和公众号?量化风云

Trading environnement for RL agents, backtesting and training.

Core module for the StockML crypto trading application.

An All-in-One Algo-Trading Framework: Backtest -> Train -> Trade -> Monitor. Machine / Deep Learning Ready. Supports All Trading: TradFi+CeFi+DeFi. Code Once, Trade Anywhere.

A scalable, declarative, low-code framework for real-time and batch feature calculation/management (quant finance, anomaly/fraud detection, etc.), predictive ML training/inference and simulation. Built on top of Ray

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 ;)

Resampling Tools for Time Series Forecasting with Modeltime

Agentic AI-driven Quantitative Alpha Builder. Streamline alpha generation with autonomous research navigation and backtesting.

?Agent-based stock analysis and investment strategy application using ?AutoGen framework

Unsupervised tableQA and databaseQA on chinese finance question and tabular data

Shine light on backtesting performances of machine learning models

An enterprise-grade AI-powered backtesting framework built on the Swarms framework for automated trading strategy validation and optimization.

Backtesting of trading strategies with machine learning.

Multipair algorithm tester based on NNFX template

Trading system that aims to buy stocks when they are low and sell stock when they have risen. The time horizon for trades is 2 - 45 days. The strategy has been successfully backtested in version 0.2. Next step: forward test strategy to ensure that it works in practice. Test RL to see if we can can improve results (currently only ~ 5 % of max.)

SYNTHRON CFD Trader PRO is a cutting-edge trading platform featuring raw, custom-designed machine learning models. From reinforcement learning for dynamic strategies to predictive analytics, sentiment analysis, and optimization techniques, it empowers trading across stocks, forex, indices, commodities, futures, and crypto with precision.