quantitative-trading

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

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 increasing number of SOTA Quant research works/papers are released in Qlib.

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

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

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.

Kungfu Trader

Portfolio analytics for quants, written in Python

modular quant framework.

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

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

基金投资管理回测引擎

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

Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

List of awesome resources for machine learning-based algorithmic trading

Quantitative analysis, strategies and backtests

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

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

A multi-asset, multi-strategy, event-driven trading platform for running many strategies at many venues simultaneously with portfolio-based risk management and capital allocation. Supports event-driven backtesting across all desired instruments, venues and strategies under a single parameterized portfolio.

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.