# Kalshi Copy-the-Trade — Week of 2026-05-12

Date: 2026-07-08
Source: https://kalshi-audits.pages.dev/2026-07-08-kalshi-week-podcast-predictions

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# Kalshi Copy-the-Trade — Week of 2026-05-12

Cross-podcast prediction round-up, mapped to live Kalshi markets
0 predictions extracted from 17 episodes published 2026-05-06 → 2026-05-13 · 0 direct Kalshi matches, 0 proxy matches · prices snapshotted 2026-07-08 10:03 UTC
How to read this: we read this week's transcripts looking for concrete, near-term claims a speaker stuck their neck out on. For each one with a live Kalshi market, the green BET YES or red BET NO badge tells you which side to take to copy the speaker. The price is what you pay per share today; the dollar figure shows what $100 returns if the speaker is right. Direct matches are shown first.

0Predictions
0Direct Kalshi matches
0Proxy matches
0No market

Show:
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Channel:
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| Source | Speaker | Prediction | Copy the trade → |
|---|---|---|---|

**Method:** Predictions extracted by Gemini 2.5 Pro from per-segment transcripts in the Neon Postgres (table `segments`). 17 episodes selected this week (politics, sports, markets, tech) — extraction was tuned to keep only concrete, near/medium-horizon claims with a real chance of a Kalshi market existing, and to drop vague long-horizon takes. Each extracted prediction was searched against the local Kalshi market snapshot (790k markets, latest snapshot timestamps within the last hour) using keyword overlap; up to 12 candidates per prediction were passed back to Gemini, which judged direct/proxy/none and chose the YES/NO side to copy the speaker. Markets with YES ≥ 96¢ or NO ≥ 96¢ (effectively resolved) were dropped, as were markets closing within an hour.

**Payout math:** binary markets pay $1 per share if your side wins. So `$100 / buy_price = total payout if right`. A 25¢ YES share returns $4 per $1 you bet ($100 → $400). A 90¢ YES share returns $1.11 per $1 ($100 → $111). Profit is payout minus your stake.

**Disclaimer:** nothing here is investment advice. Prices were spot-snapshotted from a local mirror of the Kalshi feed and drift continuously — click through for live odds. The side choice is the model's reading of the prediction; verify on the market page before trading. Some prediction-extractor calls return identical predictions across two podcasts (e.g. the same series pick from two sports shows); these are kept as separate rows so you can see who said what.