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World of Software > Mobile > A high school student entrusts $ 100 to Chatgpt to play on the stock market… and does better than Wall Street
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A high school student entrusts $ 100 to Chatgpt to play on the stock market… and does better than Wall Street

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Last updated: 2025/08/10 at 1:12 AM
News Room Published 10 August 2025
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A high school student entrusts $ 100 to Chatgpt to play on the stock market… and does better than Wall Street
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It all started with a YouTube ad. Nathan Smith, a 17 -year -old high school student living in Oklahoma, constantly saw an ad for an AI supposed to predict the best stocks on the stock market. He then had a simple thought: ” What if I really let an AI take care of it? This is how he entrusted $ 100 to Chatgpt, with a very specific mission: to manage a small portfolio of little -known American shares, whose market value is less than $ 300 million. Objective: maximize the gains between June and December 2025.

A ia, $ 100, and a good dose of curiosity

For a month, Chatgpt had full powers. Nathan was content to execute the orders of the AI each week, without ever discussing his choices (except in the event of a bug or inconsistency). Result: +23.8 % performance, when conventional indices only took 3 or 4 %. The framework title, for example, has alone reported half of the profits. And Chatgpt did not hesitate to sell it once the peak is reached.

Far from a dark or closed tool, the system implemented by Nathan is open-source and available on Github. He coded five basic functions: purchase and sale, monitoring of the portfolio, performance display, comparison with the indices, and visualization of results via Yahoo Finance data.

The whole turns with Python, a language widely used in finance. “” Honestly, the configuration is quite simple “Says the budding scholarship. It only uses entire actions (no action fraction), chosen once a week, and always respecting the limit of 300 million dollars in capitalization.

In terms of risks, he calculated some indicators that the pros use: a Sharpe ratio around 0.94 (not bad at all) and a Sortino ratio at 2.00, a sign that the right blows prevail over unpleasant surprises.

Nathan is not at his first tech project. He had already rubbed the code with Harvard’s famous CS50 course, but the C language had not packed it. He found his happiness in Python and quantitative finance, which he discovered this summer. He regularly publishes a newsletter, feeds his github, and now dreams of transforming this passion into a profession. Until then, he must still juggle between his studies, the preparation of the ACT exam, and his somewhat special stock portfolio. “” I think I have found what I really like to do “, He said. And given the results, he is not the only one to believe it.

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