yes Houston,yes Los Angeles D,yes Boston
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 05:13 UTC | View → |
| Kalshi | — | — | — | 11:39 UTC | View → |
| Kalshi | — | — | — | 07:26 UTC | View → |
| Kalshi | — | — | — | 11:24 UTC | View → |
| Kalshi | — | — | — | 14:09 UTC | View → |
| Kalshi | — | — | — | 14:09 UTC | View → |
| Kalshi | — | — | — | 06:32 UTC | View → |
| Kalshi | — | — | — | 14:09 UTC | View → |
| Kalshi | — | — | — | 14:02 UTC | View → |
| Kalshi | — | — | — | 10:15 UTC | View → |
| Kalshi | — | — | — | 14:09 UTC | View → |
| Kalshi | — | — | — | 14:07 UTC | View → |
| Kalshi | — | — | — | 08:15 UTC | View → |
| Kalshi | — | — | — | 14:12 UTC | View → |
| Kalshi | — | — | — | 10:15 UTC | View → |
| Kalshi | — | — | — | 14:29 UTC | View → |
| Kalshi | — | — | — | 05:53 UTC | View → |
| Kalshi | — | — | — | 06:32 UTC | View → |
| Kalshi | — | — | — | 02:23 UTC | View → |
| Kalshi | — | — | — | 06:28 UTC | View → |
| Kalshi | — | — | — | 05:13 UTC | View → |
| Kalshi | — | — | — | 14:09 UTC | View → |
| Kalshi | — | — | — | 05:31 UTC | View → |
| Kalshi | — | — | — | 11:11 UTC | View → |
| Kalshi | — | — | — | 14:01 UTC | View → |
| Kalshi | — | — | — | 06:50 UTC | View → |
| Kalshi | — | — | — | 04:40 UTC | View → |
| Kalshi | — | — | — | 06:33 UTC | View → |
| Kalshi | — | — | — | 05:49 UTC | View → |
| Kalshi | — | — | — | 08:02 UTC | View → |
| Kalshi | — | — | — | 14:32 UTC | View → |
| Kalshi | — | — | — | 06:20 UTC | View → |
| Kalshi | — | — | — | 05:23 UTC | View → |
| Kalshi | — | — | — | 07:28 UTC | View → |
| Kalshi | — | — | — | 10:24 UTC | View → |
| Kalshi | — | — | — | 15:33 UTC | View → |
| Kalshi | — | — | — | 05:57 UTC | View → |
| Kalshi | — | — | — | 05:40 UTC | View → |
| Kalshi | — | — | — | 14:24 UTC | View → |
| Kalshi | — | — | — | 15:43 UTC | View → |
| Kalshi | — | — | — | 12:28 UTC | View → |
| Kalshi | — | — | — | 11:12 UTC | View → |
| Kalshi | — | — | — | 06:10 UTC | View → |
| Kalshi | — | — | — | 06:10 UTC | View → |
| Kalshi | — | — | — | 13:14 UTC | View → |
| Kalshi | — | — | — | 13:40 UTC | View → |
| Kalshi | — | — | — | 08:51 UTC | View → |
| Kalshi | — | — | — | 10:01 UTC | View → |
| Kalshi | — | — | — | 09:58 UTC | View → |
| Kalshi | — | — | — | 10:01 UTC | View → |
| Kalshi | — | — | — | 09:51 UTC | View → |
| Kalshi | — | — | — | 14:09 UTC | View → |
| Kalshi | — | — | — | 06:10 UTC | View → |
| Kalshi | — | — | — | 07:31 UTC | View → |
| Kalshi | — | — | — | 14:08 UTC | View → |
| Kalshi | — | — | — | 14:49 UTC | View → |
| Kalshi | — | — | — | 15:18 UTC | View → |
| Kalshi | — | — | — | 12:29 UTC | View → |
| Kalshi | — | — | — | 06:12 UTC | View → |
| Kalshi | — | — | — | 07:28 UTC | View → |
| Kalshi | — | — | — | 14:09 UTC | View → |
| Kalshi | — | — | — | 14:49 UTC | View → |
| Kalshi | — | — | — | 12:27 UTC | View → |
| Kalshi | — | — | — | 15:15 UTC | View → |
| Kalshi | — | — | — | 14:49 UTC | View → |
| Kalshi | — | — | — | 14:05 UTC | View → |
| Kalshi | — | — | — | 16:29 UTC | View → |
| Kalshi | — | — | — | 02:12 UTC | View → |
| Kalshi | — | — | — | 16:06 UTC | View → |
| Kalshi | — | — | — | 04:40 UTC | View → |
| Kalshi | — | — | — | 07:30 UTC | View → |
| Kalshi | — | — | — | 08:30 UTC | View → |
| Kalshi | — | — | — | 12:03 UTC | View → |
| Kalshi | — | — | — | 12:03 UTC | View → |
| Kalshi | — | — | — | 12:30 UTC | View → |
| Kalshi | — | — | — | 06:14 UTC | View → |
| Kalshi | — | — | — | 06:19 UTC | View → |
| Kalshi | — | — | — | 08:30 UTC | View → |
| Kalshi | — | — | — | 04:38 UTC | View → |
| Kalshi | — | — | — | 14:23 UTC | View → |
| Kalshi | — | — | — | 16:27 UTC | View → |
| Kalshi | — | — | — | 07:32 UTC | View → |
| Kalshi | — | — | — | 09:58 UTC | View → |
| Kalshi | — | — | — | 05:29 UTC | View → |
| Kalshi | — | — | — | 07:29 UTC | View → |
| Kalshi | — | — | — | 09:56 UTC | View → |
| Kalshi | — | — | — | 04:23 UTC | View → |
What do these odds mean?
Cross-platform data for yes Houston,yes Los Angeles D,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.