Algorithmic Trading Quantitative Python Packages

minibt

minibt：一站式量化交易策略开发库。极简 API 覆盖策略编写、指标计算、回测分析、参数优化到 TQSDK 实盘对接的完整链路；内置 TA-Lib、Pandas-TA、TradingView 等十余种指标库即插即用，集成 Bokeh/PyQt 可视化、Optuna 参数优化、ElegantRL 强化学习与 sklearn 机器学习，让量化落地更简单。

viper-execution

Official Python SDK for the Viper Execution API - institutional-grade algorithmic trading

asrquant

ASRQuant is an open-source Python framework for auditable quantitative finance research, combining backtesting, Monte Carlo simulation, derivatives pricing, risk analytics, portfolio modelling, econometrics, machine learning, visualization, reproducibility, and implementation-sensitivity analysis.

regimelab

Institutional-grade market regime detection, systemic risk telemetry, and walk-forward backtesting engine in Python.

burkut

Borsa İstanbul (BIST 100), TEFAS Fonları, Canlı Altın ve Döviz Verileri İçin Resmi Python ve Node.js SDK Kütüphanesi 🚀

kuwala

Production-grade quantitative volatility surfaces, Greek analytics, and backtesting signals. 2.6M+ IV ops/sec.

twap-engine

Exchange-agnostic TWAP order execution engine with slippage-abort and an optional ATR-based stop calculator. The separation from my private risk stack is enforced by a test, not documentation.

trade-sandbox

A unified, mode-agnostic execution sandbox for testing and running trading strategies.