Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

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.

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

A financial trading method using machine learning.

Notebooks based on financial machine learning.

QLNet C# Library

Introducing neural networks to predict stock prices

A GitHub repo for Quant Finance resources

Open source analytics and market risk library from OpenGamma

Python wrapper for TA-Lib (http://ta-lib.org/).

No description or website provided.

Determine optimal rebalancing of a passive stock portfolio.

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

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Investment portfolio and stocks analyzing tools for Python with free historical data

Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]

A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.

🤖 Predict the stock market with AI 用AI预测股票市场

⚠️ Deprecrated in favor of https://github.com/piquette/finance-go

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