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OpenAI GPT-5.6 Tested: Can It Find a Profitable Polymarket Strategy?
Jul 9, 2026
Key Points
- 1.OpenAI's GPT-5.6 was tested for developing a profitable trading strategy on Polymarket.
- 2.The creator previously analyzed Polymarket using GPT-5.5, reporting moderate success.
- 3.The video focuses on comparing the performance of GPT-5.6 against GPT-5.5 in strategy generation.
Summary
Introduction of GPT-5.6
The creator introduces OpenAI's GPT-5.6 model, specifically its Soul Terra and Luna variant, which is set to be analyzed for trading strategies on Polymarket. Previous experiments with GPT-5.5 had shown profitable results, prompting the need for testing the new model.
Previous Success with GPT-5.5
In earlier attempts using GPT-5.5, the creator noted a $69 profit immediately after switching models, with a total of $213 in profit over the past week. This history of profitability lays the groundwork for expectations from the new model.
Data Analysis Methodology
The creator details their extensive dataset of 610,000 logged rows across 43 markets, which includes order book snapshots and BTC USD candles. They aim to find a profitable trading strategy while avoiding slippage and fees through best practices in quantitative trading.
Comparative Testing
The video outlines a plan to run simultaneous tests on both GPT-5.6 Soul Max and GPT-5.5 Extra High models using identical prompts. The goal is to assess if there are any significant differences in the strategies generated by the two models.
Worth watching for
This video is for traders and AI enthusiasts looking to understand the performance of GPT-5.6 in creating profitable trading strategies.