Predict & Profit: Automated weather trading bot for Kalshi prediction markets

I've been fascinated by prediction markets for a while, specifically the idea that public data could give you a real edge if you knew how to use it. Weather markets on Kalshi caught my attention because the data is free, the signal is measurable, and most traders are just guessing. The GFS ensemble weather model runs 31 forecast simulations every 6 hours. When all 31 agree, the probability is real. When the market hasn't caught up yet, that gap is the edge. So I built a bot to find it automatically. It scans Kalshi temperature markets every 5 minutes, scores each opportunity on ensemble confidence, model agreement, and fee efficiency, and only trades when all three line up. The whole thing runs unattended on my home machine while I do other things. I packaged it up with full source code, setup guide, and strategy docs so anyone with basic Python experience can run it themselves. Would love feedback from anyone in the algo trading or prediction market space. Happy to answer questions about the model, the edge scoring, or the Kalshi API integration.