the S&P 500 is the worlds biggest stock market index and the index fund that follows the S&P has $250 billion under management.
The goal of this projects is to weight the investments in each stock within the S&P based on there EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization) project was inspired by this video https://www.youtube.com/watch?v=xfzGZB4HhEE&t=5055s
the point of this project is to build a Momentum algorithm based on stock market data. the goal of this algo is to invest more in good momentum stocks, a good momentum stock means that the stock did well in the past so will do well in the future. another thing that makes some momentum better then others is if it is a slow and steady growth instead of random news that makes the stock go up.
Strategy: get a stocks data for the last year check the return as well as check the standard deviation and divide the std by the stock return and see if that stock does well the next year