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
Q-finance approaches..
A Single Index Model shiny app for Australian ETFs
💰 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）
📈 Explore AI-driven trading strategies through data analysis of forex and crypto volatility using PCA, K-means, and neural networks.
老子道 GitHub Profile | laozdao - Fusing Eastern philosophy with quantitative investing
This projects aims at creating a trading bot which can buy and sell equities in a given time frame based on certain benchmarks
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