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

WonderTrader——量化研发交易一站式框架

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.

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

Quantitative analysis, strategies and backtests

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

QTPyLib, Pythonic Algorithmic Trading

Common financial technical indicators implemented in Pandas.

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.

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

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

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