Most losing prediction-market traders trade narratives. Winners trade structure. Kalshi publishes a live order book, open interest, and settlement rules for every event — that is a quant playground. OddsPit compresses that firehose into a single 0–100 edge score built from 14 independent signals. This guide explains each one so you can interpret your score instead of worshipping it.
| Free | Pro |
|---|---|
| Spread Inefficiency, Volume Surge, Near-Expiry Entropy, News Sentiment | Calibration Bias, Longshot Detection, Retail Spread, Smart-Money Flow, Time-of-Day Edge, Maker Execution, Crypto Price Lag, Kelly Sizing, EV Optimizer, Cross-Platform Arb |
On Kalshi, YES + NO should equal 1.00. When the mid of YES plus the mid of NO drifts to 0.97 or 1.03, one side is mispriced by construction. This is the highest-frequency, lowest-risk edge on the platform.
A spike in 24h volume relative to open interest signals informed flow. We normalize volume against pool depth so a $5k print on a thin market ranks above a $5k print on a deep one.
Markets closing within 7 days near 50/50 carry the most information per hour. Resolution is imminent, so mispricings decay fast — and so do the profits.
We cross-reference fresh headlines against the Kalshi mid-price. Catalysts that move the book before the crowd prices them are pure alpha.
Free users see the top 5 Kalshi markets by score. Pro users get the full universe plus the per-signal breakdown so you can see why a market scored high. Treat a score ≥ 70 as a candidate, not a conviction — then size with Kelly.
Is this financial advice? No. OddsPit is an analytics tool. Kalshi is CFTC-regulated; trading involves risk of loss.
Do signals repaint? No. Scores are computed on observed book state at scan time and snapshotted for trend tracking.