Quant Python Packages

akshare

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

alpaca-py

The Official Python SDK for Alpaca API

quantstats

Portfolio analytics for quants, written in Python

efinance

efinance 是一个可以快速获取基金、股票、债券、期货数据的 Python 库，回测以及量化交易的好帮手！🚀🚀🚀

tradingview-screener

A package that lets you create TradingView screeners in Python

akquant

AKQuant is a high-performance quantitative research and trading framework built on Rust and Python! 开源量化回测框架

vnpy

基于Python的开源量化交易平台开发框架

ib-fundamental

Interactive Brokers Fundamental data for humans

stochastic-rs

stochastic-rs is a Rust library designed for high-performance simulation and analysis of stochastic processes and models in quant finance.

czsc

缠中说禅技术分析工具；缠论；股票；期货；Quant；量化交易

adata

免费开源A股量化交易数据库； 专注A股，专注量化，向阳而生； 开放、纯净、持续、为Ai(爱)发电。为个人量化交易而生，保卫3000点，珍惜底部机会......【股票数据，股票行情数据，股票量化数据，股票交易数据，k线行情数据，股票概念数据，股票数据接口，行情数据接口，量化交易数据】【多数据源融合，动态设置代理，保障数据高可用性】

tigeropen

Python SDK for Tiger Open API

flox-py

Modular framework for building trading systems with polyglot strategy bindings and AI-friendly developer tools.

lakeapi

Python API for accessing Lake high frequency tick trades & order book data

macrosynergy

Macrosynergy Quant Research

akshare-one

Standardized interface for Chinese financial market data, built on AKShare with unified data formats and simplified APIs

turbovec

A vector index built on TurboQuant, written in Rust with Python bindings

manmankan

「告诉你坐标，不替你决策」· A 股自选股位置感 CLI · 一屏看清 10 个周期 + 共振信号 · 数据本地化 · pip install manmankan

kand

Kand: Blazing-Fast, Modern Technical Analysis in Rust, Python, and WASM.

quantaxis

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

deeptrade-quant

本地运行的 A 股选股 CLI 框架。tushare 行情 + 兼容 OpenAI LLM + DuckDB 单机仓库 + 纯透传式插件机制。你的数据，你的策略，全在本地。

rqalpha

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

zvt

modular quant framework.

mytt

MyTT将通达信,同花顺,文华麦语言等指标公式,最简移植到Python中,核心库单个文件，仅百行代码,十几个核心函数，神奇的实现所有常见技术指标算法（不依赖talib库）的纯python实现和转换通达信MACD,RSI,BOLL,ATR,KDJ,CCI,PSY等公式,全部基于pandas函数计算方法封装，简洁且高性能，能非常方便的应用在股票指标公式,股市期货量化框架分析,自动程序化交易,数字货币量化等领域,它是您最精练的股市量化工具。Python library with most stock market indicators.