I tried building an 'automatic prediction market betting bot' using Mirofish, which is trending these days. To be honest, I have absolutely no luck when it comes to trading, and I hesitated because I only have bad memories of getting burned by futures in the past. However, I went ahead and built it purely with the intention of creating a proper app! (Of course, this is also my first time using a prediction market, aside from mock trading... haha) To look at what Mirofish is, it is a 'swarm intelligence engine' that assigns different personalities, memories, and behavioral patterns to thousands of AI agents and allows them to freely discuss in a simulated environment (Twitter/Reddit). The AIs post, comment, and retweet with each other, engaging in fierce debates, and as the rounds pass, a single 'public opinion' strangely forms and changes. Based on this, Prediction markets like Polymarket are essentially 'crowd behavior markets' where people bet on whether "this event will happen," and the market price reflects the consensus of the crowd. This led me to wonder, "What if we bet on the discrepancy when the consensus of a virtual crowd simulated by AI differs from the actual market price?" Upon searching, I found that quite a few people had already created bots applying this principle! So, I quickly put together a bot that connects these two elements. 1) Collect real-time news 2) Inject data into the MiroFish engine 3) Simulate discussions and public opinion formation by AI agents 4) Extract 'probabilities' from simulation results 5) Automatic betting after comparing with the actual market price I believe the key point is betting when the AI crowd in the simulation says, "The real-world crowd is wrong." Although it is still in the early stages, I think it will be a quite interesting experiment, both technically and from an investment perspective. For now, playing it safe with just $500, haha.