yes Atlanta,yes Dallas,yes Sacramento,yes Boston
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 05:46 UTC | View → |
| Kalshi | — | — | — | 05:31 UTC | View → |
| Kalshi | — | — | — | 07:18 UTC | View → |
| Kalshi | — | — | — | 05:52 UTC | View → |
| Kalshi | — | — | — | 05:31 UTC | View → |
| Kalshi | — | — | — | 08:59 UTC | View → |
| Kalshi | — | — | — | 04:58 UTC | View → |
| Kalshi | — | — | — | 04:58 UTC | View → |
| Kalshi | — | — | — | 04:59 UTC | View → |
| Kalshi | — | — | — | 11:49 UTC | View → |
| Kalshi | — | — | — | 06:45 UTC | View → |
| Kalshi | — | — | — | 05:52 UTC | View → |
| Kalshi | — | — | — | 05:52 UTC | View → |
| Kalshi | — | — | — | 21:00 UTC | View → |
| Kalshi | — | — | — | 07:21 UTC | View → |
| Kalshi | — | — | — | 16:32 UTC | View → |
| Kalshi | — | — | — | 00:30 UTC | View → |
| Kalshi | — | — | — | 23:13 UTC | View → |
| Kalshi | — | — | — | 09:07 UTC | View → |
| Kalshi | — | — | — | 07:56 UTC | View → |
| Kalshi | — | — | — | 15:28 UTC | View → |
| Kalshi | — | — | — | 05:14 UTC | View → |
| Kalshi | — | — | — | 22:56 UTC | View → |
| Kalshi | — | — | — | 09:39 UTC | View → |
| Kalshi | — | — | — | 12:24 UTC | View → |
| Kalshi | — | — | — | 13:39 UTC | View → |
| Kalshi | — | — | — | 00:28 UTC | View → |
| Kalshi | — | — | — | 22:49 UTC | View → |
| Kalshi | — | — | — | 16:51 UTC | View → |
| Kalshi | — | — | — | 17:31 UTC | View → |
| Kalshi | — | — | — | 07:23 UTC | View → |
| Kalshi | — | — | — | 21:28 UTC | View → |
| Kalshi | — | — | — | 22:56 UTC | View → |
| Kalshi | — | — | — | 12:42 UTC | View → |
| Kalshi | — | — | — | 11:27 UTC | View → |
| Kalshi | — | — | — | 14:39 UTC | View → |
| Kalshi | — | — | — | 21:00 UTC | View → |
| Kalshi | — | — | — | 13:37 UTC | View → |
| Kalshi | — | — | — | 07:23 UTC | View → |
| Kalshi | — | — | — | 07:24 UTC | View → |
| Kalshi | — | — | — | 10:55 UTC | View → |
| Kalshi | — | — | — | 21:27 UTC | View → |
| Kalshi | — | — | — | 00:05 UTC | View → |
| Kalshi | — | — | — | 12:27 UTC | View → |
| Kalshi | — | — | — | 05:26 UTC | View → |
| Kalshi | — | — | — | 12:27 UTC | View → |
| Kalshi | — | — | — | 10:55 UTC | View → |
| Kalshi | — | — | — | 14:31 UTC | View → |
| Kalshi | — | — | — | 19:12 UTC | View → |
| Kalshi | — | — | — | 19:24 UTC | View → |
| Kalshi | — | — | — | 05:29 UTC | View → |
| Kalshi | — | — | — | 05:29 UTC | View → |
| Kalshi | — | — | — | 05:11 UTC | View → |
| Kalshi | — | — | — | 05:10 UTC | View → |
| Kalshi | — | — | — | 08:51 UTC | View → |
| Kalshi | — | — | — | 06:11 UTC | View → |
| Kalshi | — | — | — | 06:11 UTC | View → |
| Kalshi | — | — | — | 19:24 UTC | View → |
| Kalshi | — | — | — | 13:42 UTC | View → |
| Kalshi | — | — | — | 23:03 UTC | View → |
| Kalshi | — | — | — | 05:29 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 22:08 UTC | View → |
| Kalshi | — | — | — | 05:29 UTC | View → |
| Kalshi | — | — | — | 17:17 UTC | View → |
| Kalshi | — | — | — | 01:05 UTC | View → |
| Kalshi | — | — | — | 10:56 UTC | View → |
| Kalshi | — | — | — | 05:59 UTC | View → |
| Kalshi | — | — | — | 19:03 UTC | View → |
| Kalshi | — | — | — | 10:56 UTC | View → |
| Kalshi | — | — | — | 19:43 UTC | View → |
| Kalshi | — | — | — | 19:24 UTC | View → |
| Kalshi | — | — | — | 12:11 UTC | View → |
| Kalshi | — | — | — | 07:54 UTC | View → |
| Kalshi | — | — | — | 12:11 UTC | View → |
| Kalshi | — | — | — | 12:11 UTC | View → |
What do these odds mean?
Cross-platform data for yes Atlanta,yes Dallas,yes Sacramento,yes Boston 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.