Determining the best predictors of stock-market returns is like seeking the Holy Grail for investors. They also allowed the algorithm to come up with its own ratios in an attempt to determine whether there are better indicators of stock-market performance. Examples of variables included sales, market value, and cost of goods. The data points were then scaled using ratios to correlate a company's sales revenue to other variables, such as its size. Robbins noted that traditionally, academics begin with a theory for why certain company fundamentals could be good predictors of stock market returns before testing them.

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Persons: Alejandro Lopez, Lopez, Andrew Y . Chen, Tom Zimmermann, Michael Robbins, Lira, ChatGPT, Robbins, It's Organizations: Lira, University of Florida, University of Cologne, Institutional, Investors, New York Stock Exchange, American Stock Exchange, Nasdaq, Lopez