Recently, I've been tinkering with automated trading on Polymarket, and after using Gemini3, the entire process has become incredibly smooth. This thing has really lowered the barrier to the Floor Price—you just need to have an idea, and it handles all the technical work.

The whole process actually consists of three steps: The first step is to visualize those vague ideas in your mind into executable requirements. For example, you want to monitor the odds changes of a certain prediction market or automatically place bets based on specific conditions. This step allows AI to help you organize the logic, turning "I want to do XX" into "the system needs to implement ABC functions."

The second step is to feed the requirements document to the development tools. Now these AI programming assistants have evolved to the point where as long as you clearly state what you want, they can directly provide you with a usable code framework. Monitoring scripts, API integration, trading strategy judgments - these things that used to take a long time to code manually can now basically be generated automatically.

The third step is to run the tests. Polymarket's data interface is relatively user-friendly, and with automated scripts, it can achieve real-time monitoring + condition-triggered trading. Of course, before going live, you must repeatedly test the logic, as the waters of prediction markets are quite deep.

To be honest, this Vibe Coding method has indeed lowered many technical barriers. In the past, to engage in automated trading, one at least had to know Python and API calls, but now as long as you can articulate the trading logic clearly, the tools can help you implement most of the functionalities. For those who want to develop quantitative strategies in prediction markets but have weak programming foundations, this is a good entry point.