gudbrandtandberg/CPSC540Project
Project on financial forecasting using ML. Made by Anson Wong, Juan Garcia & Gudbrand Tandberg
This project helps financial analysts and traders forecast stock prices and optimize investment portfolios using machine learning. It takes historical stock data and market information as input, then applies various predictive models to output potential future stock movements and optimized asset allocations. The primary users are individuals involved in quantitative finance, investment management, or personal trading seeking to make data-driven decisions.
179 stars. No commits in the last 6 months.
Use this if you are a quantitative analyst or trader looking for a curated collection of research papers and foundational concepts on applying machine learning to financial forecasting and portfolio optimization.
Not ideal if you are looking for ready-to-use code or a complete software solution for financial analysis, as this project is primarily a literature review.
Stars
179
Forks
57
Language
Matlab
License
—
Category
Last pushed
Apr 22, 2017
Commits (30d)
0
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