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TLDR; He was able to beat professional fund managers by over ~4%. If the volume was higher that would be a massive amount of money.

Interesting read though.

Archive: https://archive.today/MMRcv

From the post:

>Exactly one year ago, on May 16th, 2023, I started investing in the stock market using LLM-powered autonomous agents, which I named The GPT Investor. These investments were real, made with actual cash in the NYSE and NASDAQ, not just paper trading. My goal was to determine if autonomous agents powered by Large Language Models, such as GPT-4, could "beat the market." "Beating the market" refers to achieving investment returns that exceed the performance of a benchmark index, such as the S&P 500. It implies that an investor's portfolio has generated a higher return compared to the average market return over a specified period. This concept is often used to evaluate the success of investment strategies or the skill of portfolio managers. I wanted the GPT Investor to compete against the SPDR S&P 500 ETF Trust, also known as $SPY, an exchange-traded fund (ETF) that aims to track the performance of the S&P 500 Index. This index includes 500 of the largest publicly traded companies in the U.S., making $SPY a popular investment vehicle for those seeking broad exposure to the U.S. stock market.

TLDR; He was able to beat professional fund managers by over ~4%. If the volume was higher that would be a massive amount of money. Interesting read though. Archive: https://archive.today/MMRcv From the post: >>Exactly one year ago, on May 16th, 2023, I started investing in the stock market using LLM-powered autonomous agents, which I named The GPT Investor. These investments were real, made with actual cash in the NYSE and NASDAQ, not just paper trading. My goal was to determine if autonomous agents powered by Large Language Models, such as GPT-4, could "beat the market." "Beating the market" refers to achieving investment returns that exceed the performance of a benchmark index, such as the S&P 500. It implies that an investor's portfolio has generated a higher return compared to the average market return over a specified period. This concept is often used to evaluate the success of investment strategies or the skill of portfolio managers. I wanted the GPT Investor to compete against the SPDR S&P 500 ETF Trust, also known as $SPY, an exchange-traded fund (ETF) that aims to track the performance of the S&P 500 Index. This index includes 500 of the largest publicly traded companies in the U.S., making $SPY a popular investment vehicle for those seeking broad exposure to the U.S. stock market.

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