Quantitative Trading Python Packages

vnstock

A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone

arcticdb

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

quantstats

Portfolio analytics for quants, written in Python

jesse

An advanced crypto trading bot written in Python

async-rithmic

Python async framework for Rithmic Protocol Buffer API

oryon

Production-grade feature and target engineering for quantitative research.

hftbacktest

Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books(Level-2 and Level-3), with real-world crypto trading examples for Binance and Bybit

lakeapi

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

thetadata

Python client library for ThetaData market data APIs

vnstock3

A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone

crypto-pandas

Pandas + CCXT= :heart:

autotrader

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

nautilus-futu

Futu OpenD adapter for NautilusTrader - 富途牛牛/moomoo 量化交易适配器 (Rust + Python)

trading-strategy

Algorithmic trading data for cryptocurrencies and DEXes like Uniswap, Aave and PancakeSwap

zvt

modular quant framework.

krex

A Lightweight Python Package for Low-Latency and Cross-Exchange Trading.

aperiodic

Python client library for Aperiodic.io — institutional-grade market microstructure, liquidity and order flow metrics with full exchange universe coverage. Turn flow dynamics into alpha in hours, not months. No tick infrastructure to build or maintain.

nexa-backtest

Backtesting framework for European power markets

xalpha

all about fund investment

pwb-toolbox

The toolbox for developing systematic trading strategies. It includes datasets and strategy ideas to assist in developing and backtesting trading algorithms.

screamer

Screamingly fast streaming indicators with C++ performance and Python simplicity.

uvatradier

wahoowa

marketquant

MarketQuant, created by Max Heltzel at Florida Gulf Coast University, is a flexible framework for building financial analysis tools, strategies, quantitative algorithms, or whatever you envision. I encourage innovation and collaboration—so feel free to contribute!

autohedge

Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.