A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资

Collect knowledge around systematic trading, including software design, trading strategies, statistical skill. 量化交易/系统化交易知识集

进入矿工（Quant）世界的路线图

Python Rebalancer

Equities Pair Trading/Statistical Arbitrage and Multi-Variable Index Regression

event-driven trading and backtesting engine

An algorithmic trading framework for pydata.

The "keep it simple" backtesting framework

对GitHub上最靓的回测和实盘交易系统一个稍微详细的描述和分析. 持续更新中... more detailed description of the popular and awesome backtesting and livetrading system in github.

Quantitative Research & Algorithmic Trading 2025: Comprehensive trading systems including MQL5 Expert Advisors, TradingView Pine Script indicators, Python analytics tools, and self-reviewed research papers on strategy optimization, pattern recognition, orderflow, volume profile analysis, and more. Revolving around Exness Broker

Systematic Trading | 系统化、量化交易

Full working code repo from QuantDev youtube channel (https://www.youtube.com/@QuantDevXYZ)

A quantitative backtesting project that evaluates portfolio strategies based on technical indicators against the SPY benchmark, with quarterly rebalancing from June 2022 to June 2025.

A practical introduction to core quantitative trading strategies with R.

My portfolio of Systematic Trading projects.

AI-powered quantitative trading system with walk-forward backtesting and automated reporting

systematic trading strategies developed and validated using walk-forward analysis. The code is modular and structured for production backtesting.

A fully reproducible 50‑signal systematic equity strategy with clean TRAIN → VALIDATION → LOCKED → HOLDOUT methodology. Built for the Quanta Fellowship.

Systematic trading infrastructure orchestrated via Apache Airflow and Google Cloud Run. Features LightGBM inference engines and deterministic CCXT execution protocols.