Quantitative Finance Python Packages

alpaca-py

The Official Python SDK for Alpaca API

ta-lib

Python wrapper for TA-Lib (http://ta-lib.org/).

vectorbt

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

quantstats

Portfolio analytics for quants, written in Python

arcticdb

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

pyportfolioopt

Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

tradingview-screener

A package that lets you create TradingView screeners in Python

xbbg

Intuitive Data Workflows

riskfolio-lib

Portfolio Optimization in Python

skfolio

Python library for portfolio optimization built on top of scikit-learn

openbb-platform-api

Open Data Platform for analysts, quants and AI agents.

lumibot

Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.

vnstock

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

robin-stocks

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

async-rithmic

Python async framework for Rithmic Protocol Buffer API

thetadata

Python client library for ThetaData market data APIs

qubx

Framework for quantitative strategies development, backtesting and live execution.

volas

🚀 Rust-backed pandas-shaped DataFrame for live OHLCV data: 242 indicators, incremental O(lookback) refresh, NumPy/Torch output.

vibe-trading-ai

"Vibe-Trading: Your Personal Trading Agent"

jesse

An advanced crypto trading bot written in Python

stochastic-rs

High-performance quantitative finance in Rust — 120+ stochastic processes, option pricing, calibration, fixed income, risk & copulas, with SIMD/GPU acceleration and Python bindings.

tvscreener

TradingView Screener API - Stock, Crypto, Forex, Bond, Futures, Coin

fortitudo-tech

Entropy Pooling views and stress testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.

metatrader-mcp-server

Model Context Protocol (MCP) to enable AI LLMs to trade using MetaTrader platform