Collection of publicly available quant resouces.
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Updated
Jun 12, 2024
Collection of publicly available quant resouces.
This projects aims at creating a trading bot which can buy and sell equities in a given time frame based on certain benchmarks
Transformer-Based Multi-Factor Stock Selection
💰 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)
Q-finance approaches..
A Single Index Model shiny app for Australian ETFs
Investment comparison tool using Python
Use bokeh as the backend, you will get richer plot effects for backtrader
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.
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
Python library for portfolio optimization built on top of scikit-learn
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