Why My Machine Learning Trading System Couldn't Justify a Startup
After nearly two years building an AI stock trading system, two AI models reached the same conclusion: don't turn it into a startup.
I spent 21 months building a machine learning trading system called TopSet and then had AI models tell me it wasn't viable for starting a company. I gave myself a deadline of two years, and after the system ran continuously for nearly two years, I needed an answer I could trust. To avoid bias, I wrote down evaluation gates to determine if the system could be marketed as a unique product, work for one person without raising money, and be viable as a personal investment.
Both Claude and Cursor AI models agreed that TopSet should only be run with personal money and not turned into a company. The evaluation found the product as "concentrated, high-turnover S&P exposure with ML attached, viable only inside an IRA," which met the first gate's failure condition.
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