Awesome GitHub RepositoriesQuantitative Research Tools

AkShare is a Python financial data library and programmatic interface designed for fetching real-time and historical stock, currency, and economic market data. It serves as a quantitative data acquisition tool for gathering the large-scale financial datasets required for economic research and quantitative analysis. The library provides a unified interface to retrieve datasets from various official and commercial providers, removing the need to write custom scrapers for individual financial sources. It maps standardized function calls to diverse third-party sources to normalize varying respons

TensorTrade is a reinforcement learning trading framework designed for training and deploying autonomous agents that optimize financial market strategies. It provides an algorithmic trading simulation environment where agents can be tested against market data using simulated broker environments. The framework features a distributed training system using RLlib to optimize decision policies across large datasets. It includes a walk-forward validation tool that evaluates trading strategies through windowed performance analysis to prevent overfitting and measure real-world viability. The project

Portfolio and risk analytics in Python

zvt 是一个量化交易框架，旨在构建、回测和执行算法交易策略。它作为一个模块化系统，集成了用于市场数据收集的金融数据管道、用于策略评估的算法回测引擎，以及用于自动化市场执行的事件驱动交易系统。 该项目通过信号管理的混合方法脱颖而出，使用结合了自动化量化逻辑与人工干预的动态标签系统。它包含一个用于可视化研究因子和性能指标的量化分析仪表板，以及一个用于集成 AI 驱动信号的接口。 该框架涵盖了几个核心功能领域，包括量化数据转换和技术因子计算、来自多个提供商的自动化市场数据获取，以及基于金融指标生成过滤后的资产池。它还管理用于数据同步的循环后台任务，并通过电子邮件或机器人分发自动化市场警报。

Alphalens is a quantitative alpha factor analysis library designed to measure the predictive power of financial factors. It serves as a computational toolset for processing financial time series and calculating performance metrics to evaluate quantitative trading hypotheses. The library distinguishes itself through the use of quantile-based data binning to analyze return distributions across different factor strength levels. It aligns historical alpha signals with forward-looking price changes to isolate predictive effects and transforms these metrics into heatmaps and time-series charts for

Common financial risk and performance metrics. Used by zipline and pyfolio.

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Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence

AI-powered Bitcoin network intelligence in your terminal. Ask questions, get structured analysis.