yes Chicago C,yes Arizona,yes Miami,yes Cincinnati,yes Boston,yes Seattle
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 15:27 UTC | View → |
| Kalshi | — | — | — | 04:49 UTC | View → |
| Kalshi | — | — | — | 09:56 UTC | View → |
| Kalshi | — | — | — | 14:16 UTC | View → |
| Kalshi | — | — | — | 12:29 UTC | View → |
| Kalshi | — | — | — | 17:53 UTC | View → |
| Kalshi | — | — | — | 11:33 UTC | View → |
| Kalshi | — | — | — | 14:50 UTC | View → |
| Kalshi | — | — | — | 11:34 UTC | View → |
| Kalshi | — | — | — | 10:56 UTC | View → |
| Kalshi | — | — | — | 06:14 UTC | View → |
| Kalshi | — | — | — | 18:20 UTC | View → |
| Kalshi | — | — | — | 02:23 UTC | View → |
| Kalshi | — | — | — | 16:56 UTC | View → |
| Kalshi | — | — | — | 14:16 UTC | View → |
| Kalshi | — | — | — | 14:16 UTC | View → |
| Kalshi | — | — | — | 10:56 UTC | View → |
| Kalshi | — | — | — | 11:34 UTC | View → |
| Kalshi | — | — | — | 18:20 UTC | View → |
| Kalshi | — | — | — | 04:42 UTC | View → |
| Kalshi | — | — | — | 11:34 UTC | View → |
| Kalshi | — | — | — | 10:56 UTC | View → |
| Kalshi | — | — | — | 12:52 UTC | View → |
| Kalshi | — | — | — | 11:34 UTC | View → |
| Kalshi | — | — | — | 10:56 UTC | View → |
| Kalshi | — | — | — | 05:57 UTC | View → |
| Kalshi | — | — | — | 15:32 UTC | View → |
| Kalshi | — | — | — | 16:56 UTC | View → |
| Kalshi | — | — | — | 16:03 UTC | View → |
| Kalshi | — | — | — | 18:11 UTC | View → |
| Kalshi | — | — | — | 10:56 UTC | View → |
| Kalshi | — | — | — | 14:50 UTC | View → |
| Kalshi | — | — | — | 11:33 UTC | View → |
| Kalshi | — | — | — | 09:56 UTC | View → |
| Kalshi | — | — | — | 12:53 UTC | View → |
| Kalshi | — | — | — | 15:27 UTC | View → |
| Kalshi | — | — | — | 15:17 UTC | View → |
| Kalshi | — | — | — | 11:28 UTC | View → |
| Kalshi | — | — | — | 16:56 UTC | View → |
| Kalshi | — | — | — | 11:34 UTC | View → |
| Kalshi | — | — | — | 10:56 UTC | View → |
| Kalshi | — | — | — | 19:30 UTC | View → |
| Kalshi | — | — | — | 16:47 UTC | View → |
| Kalshi | — | — | — | 12:09 UTC | View → |
| Kalshi | — | — | — | 05:04 UTC | View → |
| Kalshi | — | — | — | 07:42 UTC | View → |
| Kalshi | — | — | — | 09:24 UTC | View → |
| Kalshi | — | — | — | 08:41 UTC | View → |
| Kalshi | — | — | — | 04:46 UTC | View → |
| Kalshi | — | — | — | 04:46 UTC | View → |
| Kalshi | — | — | — | 09:24 UTC | View → |
| Kalshi | — | — | — | 04:55 UTC | View → |
| Kalshi | — | — | — | 17:18 UTC | View → |
| Kalshi | — | — | — | 19:39 UTC | View → |
| Kalshi | — | — | — | 14:05 UTC | View → |
| Kalshi | — | — | — | 09:59 UTC | View → |
| Kalshi | — | — | — | 16:42 UTC | View → |
| Kalshi | — | — | — | 07:57 UTC | View → |
| Kalshi | — | — | — | 12:18 UTC | View → |
| Kalshi | — | — | — | 18:30 UTC | View → |
| Kalshi | — | — | — | 09:52 UTC | View → |
| Kalshi | — | — | — | 17:18 UTC | View → |
| Kalshi | — | — | — | 19:14 UTC | View → |
| Kalshi | — | — | — | 07:07 UTC | View → |
| Kalshi | — | — | — | 18:14 UTC | View → |
| Kalshi | — | — | — | 04:46 UTC | View → |
| Kalshi | — | — | — | 17:38 UTC | View → |
| Kalshi | — | — | — | 14:32 UTC | View → |
| Kalshi | — | — | — | 02:17 UTC | View → |
| Kalshi | — | — | — | 06:09 UTC | View → |
| Kalshi | — | — | — | 17:40 UTC | View → |
| Kalshi | — | — | — | 13:33 UTC | View → |
| Kalshi | — | — | — | 12:57 UTC | View → |
| Kalshi | — | — | — | 11:05 UTC | View → |
| Kalshi | — | — | — | 04:46 UTC | View → |
| Kalshi | — | — | — | 09:24 UTC | View → |
| Kalshi | — | — | — | 16:31 UTC | View → |
| Kalshi | — | — | — | 19:14 UTC | View → |
| Kalshi | — | — | — | 17:28 UTC | View → |
| Kalshi | — | — | — | 07:57 UTC | View → |
| Kalshi | — | — | — | 14:01 UTC | View → |
| Kalshi | — | — | — | 11:14 UTC | View → |
| Kalshi | — | — | — | 09:25 UTC | View → |
| Kalshi | — | — | — | 10:00 UTC | View → |
| Kalshi | — | — | — | 06:27 UTC | View → |
| Kalshi | — | — | — | 06:36 UTC | View → |
| Kalshi | — | — | — | 17:18 UTC | View → |
| Kalshi | — | — | — | 16:46 UTC | View → |
| Kalshi | — | — | — | 11:22 UTC | View → |
| Kalshi | — | — | — | 06:30 UTC | View → |
| Kalshi | — | — | — | 09:03 UTC | View → |
| Kalshi | — | — | — | 16:33 UTC | View → |
| Kalshi | — | — | — | 14:32 UTC | View → |
| Kalshi | — | — | — | 08:03 UTC | View → |
| Kalshi | — | — | — | 17:18 UTC | View → |
| Kalshi | — | — | — | 14:33 UTC | View → |
| Kalshi | — | — | — | 12:31 UTC | View → |
| Kalshi | — | — | — | 17:28 UTC | View → |
| Kalshi | — | — | — | 05:17 UTC | View → |
| Kalshi | — | — | — | 19:44 UTC | View → |
| Kalshi | — | — | — | 17:59 UTC | View → |
| Kalshi | — | — | — | 16:39 UTC | View → |
| Kalshi | — | — | — | 17:55 UTC | View → |
| Kalshi | — | — | — | 19:49 UTC | View → |
| Kalshi | — | — | — | 06:08 UTC | View → |
| Kalshi | — | — | — | 17:55 UTC | View → |
| Kalshi | — | — | — | 17:59 UTC | View → |
| Kalshi | — | — | — | 17:38 UTC | View → |
| Kalshi | — | — | — | 09:24 UTC | View → |
| Kalshi | — | — | — | 11:19 UTC | View → |
| Kalshi | — | — | — | 08:53 UTC | View → |
| Kalshi | — | — | — | 11:19 UTC | View → |
| Kalshi | — | — | — | 05:46 UTC | View → |
| Kalshi | — | — | — | 12:57 UTC | View → |
| Kalshi | — | — | — | 17:03 UTC | View → |
| Kalshi | — | — | — | 06:08 UTC | View → |
| Kalshi | — | — | — | 08:03 UTC | View → |
What do these odds mean?
Cross-platform data for yes Chicago C,yes Arizona,yes Miami,yes Cincinnati,yes Boston,yes Seattle is still being collected.
How to read cross-platform spreads
When two platforms price the same event meaningfully differently, it usually means one of three things: liquidity is thin on one side, fee structures are pushing a spread, or traders on one platform have information the other lacks. Spreads larger than 5 percentage points on events with over $50K in volume often resolve toward the higher-volume platform's price.
About this data
Beeks.ai aggregates prediction market data from Polymarket, Kalshi, and Manifold. Updates run every minute. Consensus probability is a volume-weighted average across all matched markets. Historical snapshots are stored for calibration analysis.
News & context
Your edge calculator
Enter your own probability estimate to see expected value and recommended position size using the Kelly Criterion.