I vibecoded a Kalshi bot to $6k profit and opensourced it
A developer created a Python bot that generated approximately $6,000 in profit from prediction markets. The bot ran continuously on a local laptop and utilized data analysis to identify market inefficiencies. The creator emphasizes the importance of prediction markets as a means of testing belief systems through financial stakes.
- ▪The bot achieved a gross PnL of $5,516.24 and a final net PnL of $5,515.94.
- ▪The developer has a background in data analysis and previously succeeded in betting markets.
- ▪The bot operated 24/7 for a couple of months, processing over 15,000 fills and nearly 2,800 settled markets.
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Prediction Markets How I Botted $6k On The Prediction Markets As I Slept A simple Python bot, a local laptop, real money, and a market that was inefficient just long enough to be interesting. May 12, 2026 Repos: kalshi-analysis and kalshi-strategy-executor. Here is my PnL chart for my incredibly simple prediction-market bot that ran 24/7 for a couple months on my local laptop. Roughly +$6k real money, not theory-trading. I did not actually ever intend on releasing these repos, but I got interested in a different project, clankerfights.ai, so forgive the disorganized mess: kalshi-strategy-executor and kalshi-analysis. The final report showed 15,277 fills, 2,717 settled markets, $342,506.13 in total cost, $348,022.37 in revenue, $5,516.24 gross PnL, and $5,515.94 final net PnL.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Dan McInerney.