Investment comparison tool using Python
-
Updated
Nov 21, 2018 - Jupyter Notebook
Investment comparison tool using Python
A Single Index Model shiny app for Australian ETFs
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
💰 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)
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.
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
Q-finance approaches..
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
Collection of publicly available quant resouces.
Python library for portfolio optimization built on top of scikit-learn
Add a description, image, and links to the quantitative-investment topic page so that developers can more easily learn about it.
To associate your repository with the quantitative-investment topic, visit your repo's landing page and select "manage topics."