Zipline, a Pythonic Algorithmic Trading Library

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

An Algorithmic Trading Library for Crypto-Assets in Python

Statistical and Algorithmic Investing Strategies for Everyone

A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.

Performance analysis of predictive (alpha) stock factors

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

Unofficial Documentation of Robinhood Trade's Private API

A list of online resources for quantitative modeling, trading, portfolio management

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

modular quant framework.

Use unsupervised and supervised learning to predict stocks

QTPyLib, Pythonic Algorithmic Trading

Machine Learning in Asset Management (by @firmai)

🔎 📈 🐍 💰 Backtest trading strategies in Python.

Using python and scikit-learn to make stock predictions

Common financial technical indicators implemented in Pandas.

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Python library for backtesting and analyzing trading strategies at scale

An advanced crypto trading bot written in Python

Portfolio analytics for quants, written in Python

Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries

Quantitative Financial Modelling Framework

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

Introducing neural networks to predict stock prices

Python live trade execution library with zipline interface.