Trading Python Packages

ccxt

A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust

alpaca-py

The Official Python SDK for Alpaca API

ta

Technical Analysis Library using Pandas and Numpy

ib-async

Python sync/async framework for Interactive Brokers API (replaces ib_insync)

ib-insync

Python sync/async framework for Interactive Brokers API

polygon-api-client

The official Python client library for the Massive.com REST and WebSocket API.

nautilus-trader

Production-grade Rust-native trading engine with deterministic event-driven architecture

vectorbt

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

simplefix

Simple FIX protocol implementation for Python

massive

The official Python client library for the Massive.com REST and WebSocket API.

backtesting

🔎 📈 🐍 💰 Backtest trading strategies in Python.

backtrader

Python Backtesting library for trading strategies

schwab-py

Unofficial API wrapper for the Schwab HTTP API

tradingview-screener

A package that lets you create TradingView screeners in Python

technical

Various indicators developed or collected for the Freqtrade

alpaca-trade-api

Python client for Alpaca's trade API

py-vollib-vectorized

A vectorized implementation of py_vollib, that supports numpy arrays and pandas Series and DataFrames.

riskfolio-lib

Portfolio Optimization in Python

binance-connector

Simple connector to Binance Public API

shioaji

Shioaji all new cross platform api for trading ( 跨平台證券交易API )

betfairlightweight

betfairlightweight - Betfair API-NG python wrapper (with streaming)

optopsy

A nimble options research and backtesting library for Python

qubx

Framework for quantitative strategies development, backtesting and live execution.

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.