Algorithmic Trading Python Packages

alpaca-py

The Official Python SDK for Alpaca API

quantstats

Portfolio analytics for quants, written in Python

vectorbt

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

backtesting

🔎 📈 🐍 💰 Backtest trading strategies in Python.

pyportfolioopt

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

pkscreener

A Python-based stock screener for NSE, India. PKScreener is an advanced free stock screener to find potential breakout stocks from NSE and show its possible breakout values. It also helps to find the stocks which are consolidating and may breakout, or the particular chart patterns that you're looking specifically to make your decisions.

optopsy

A nimble options research and backtesting library for Python

freqtrade-client

Free, open source crypto trading bot

freqtrade

Free, open source crypto trading bot

varrd

AI-powered trading research platform. Test any idea on stocks, futures, and crypto with event studies, backtesting, and statistical validation. MCP server with 8 tools. pip install varrd.

alpaca-mcp-server

Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs

monte-neo

Independent verifier for trading strategies written by AI agents and humans: catches look-ahead bias, hidden costs and overfitting. MCP server, CLI, GitHub Action, signed certificates.

pynesys-pynecore

Pine Script-compatible Python runtime for indicators and strategies, validated against TradingView on real published scripts

lumibot

AI agents that actually place the trade. 12 brokers, real backtests, stocks options futures forex crypto and prediction markets.

yfinance-ta-patterns

Institutional-grade Candlestick & Chart Pattern Scanner with AI Confluence Scoring, Backtesting, Native MCP Server, No-GIL (3.13t-3.16t) & PyPy (3.8-3.12)

ml4t-specs

Serializable, runtime-neutral contracts for market data, artifacts, strategy lifecycles, and execution across ML4T libraries.

jesse

An advanced crypto trading bot written in Python

async-rithmic

Python async framework for Rithmic Protocol Buffer API

openscript

An open trading language. Write a study or a strategy once, plot it, backtest it, trade it.

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

ml4t-backtest

Event-driven backtesting for quantitative strategies with configurable execution, accounting, risk, and framework-parity validation.

ml4t-diagnostic

Signal diagnostics, statistical validation, and backtest evaluation for quantitative trading workflows.

lse-data

Live and historical market data for: Stocks, FX, crypto, commodities, indices and ETFs over WebSocket and REST.

zvt

modular quant framework.