Python library for portfolio optimization built on top of scikit-learn

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

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

Noba not only backtrader as a quantitative investment platform, but also visualized using bokeh, which can get richer plot effects. Additionally, Noba also provide 'Ioc Container', 'Event System', 'Database Abstraction Layer', 'Pipeline System' and more.

Use bokeh as the backend, you will get richer plot effects for backtrader

Investment comparison tool using Python

A Single Index Model shiny app for Australian ETFs

Q-finance approaches..

💰 HALM: A Highly Adaptive Learning Model for Portfolio Decision Making（投资组合决策的高度自适应学习模型）

Collection of publicly available quant resouces.

Transformer-Based Multi-Factor Stock Selection

This projects aims at creating a trading bot which can buy and sell equities in a given time frame based on certain benchmarks