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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| Original publisher | Dan McInerney |
| Canonical URL | https://mcinerney.ai/writings/how-i-botted-6k-prediction-markets-as-i-slept/ |
| Publication time | Tue, 19 May 2026 13:23:16 +0000 |
| Retrieval time | 2026-05-19T13:34:57.696Z |
| Last seen | 2026-05-19T13:34:57.696Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | kqcz8r2Ar8Eu |
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| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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.