ImanolR87/AI-Learn-to-invest
Machine Learning Project applied to stock market portfolio optimization
This project helps new investors understand stock market investments by analyzing historical stock data and simulating investment scenarios. It takes financial ratios scraped from NYSE companies and produces a classification of potential investments as 'GOOD' or 'BAD'. Individual investors looking to learn the basics of stock market decision-making would find this useful.
No commits in the last 6 months.
Use this if you are new to stock market investing and want a simplified, pedagogical tool to understand investment outcomes based on historical data.
Not ideal if you are a professional trader or experienced investor looking for advanced predictive models or real-time trading signals.
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Jupyter Notebook
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Last pushed
Jan 21, 2021
Commits (30d)
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