An algorithmic trading framework for pydata.

Systematic Trading | 系统化、量化交易

进入矿工（Quant）世界的路线图

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

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

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

My portfolio of Systematic Trading projects.

Python Rebalancer

A practical introduction to core quantitative trading strategies with R.

event-driven trading and backtesting engine

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.

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.

The "keep it simple" backtesting framework

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

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

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

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

Deterministic, event-driven backtesting engine for intraday futures. Features regime-adaptive execution, strict session handling, and causal integrity