基于Python的开源量化交易平台开发框架

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Open source software that helps you create and deploy high-frequency crypto trading bots

Portfolio analytics for quants, written in Python

Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.

WonderTrader——量化研发交易一站式框架

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

QTPyLib, Pythonic Algorithmic Trading

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

Common financial technical indicators implemented in Pandas.

Quantitative analysis, strategies and backtests

Algorithmic Trading in Python with Machine Learning

A high-frequency trading and market-making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books, with real-world crypto market-making examples for Binance Futures

Find big moving stocks before they move using machine learning and anomaly detection

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries

Algorithmic trading framework for cryptocurrencies.

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

Open-source Rust framework for building event-driven live-trading & backtesting systems

A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio