FoamoftheSea/mod5project
Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Module 5 Project.
This project helps financial analysts and traders build a long/short equity investment portfolio using machine learning. It takes fundamental data from S&P 500 securities as input and predicts which stocks will outperform or underperform the market. The output is a trading strategy that aims for consistent returns with reduced market risk.
No commits in the last 6 months.
Use this if you are an investor or trader looking to integrate machine learning into your long/short equity strategies to identify potential overperforming and underperforming stocks.
Not ideal if you are looking for an asset pricing model to evaluate intrinsic value, as the project found this approach was not strongly supported by its initial results.
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Last pushed
Jan 04, 2021
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