Some time ago, I discovered an interesting phenomenon in the prediction market: a trader has accumulated $100,000 in profits through accurate predictions, demonstrating an outstanding win rate. This piqued my curiosity.

I decided to use AI for an in-depth analysis of their trading logic. By carefully designing prompts, I had ChatGPT systematically analyze this trader's decision-making characteristics, timing of bets, risk management, and other dimensions, ultimately summarizing a replicable strategy framework.

The results exceeded expectations—this AI-refined methodology performed extremely stably in actual operations. This experience made me realize that the essence of prediction markets is information advantage and decision-making efficiency. Combining human observation skills with AI's data processing capabilities might break through the ceiling of traditional trading. Is anyone else using similar methods to study prediction markets?