yes Boston,yes Orlando,yes Philadelphia,yes Elena-Gabriela Ruse
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 13:45 UTC | View → |
| Kalshi | — | — | — | 13:11 UTC | View → |
| Kalshi | — | — | — | 13:36 UTC | View → |
| Kalshi | — | — | — | 11:32 UTC | View → |
| Kalshi | — | — | — | 11:32 UTC | View → |
| Kalshi | — | — | — | 23:43 UTC | View → |
| Kalshi | — | — | — | 21:46 UTC | View → |
| Kalshi | — | — | — | 23:43 UTC | View → |
| Kalshi | — | — | — | 15:34 UTC | View → |
| Kalshi | — | — | — | 18:40 UTC | View → |
| Kalshi | — | — | — | 23:27 UTC | View → |
| Kalshi | — | — | — | 15:33 UTC | View → |
| Kalshi | — | — | — | 18:31 UTC | View → |
| Kalshi | — | — | — | 22:41 UTC | View → |
| Kalshi | — | — | — | 12:30 UTC | View → |
| Kalshi | — | — | — | 13:11 UTC | View → |
| Kalshi | — | — | — | 13:37 UTC | View → |
| Kalshi | — | — | — | 22:24 UTC | View → |
| Kalshi | — | — | — | 13:20 UTC | View → |
| Kalshi | — | — | — | 23:40 UTC | View → |
| Kalshi | — | — | — | 13:45 UTC | View → |
| Kalshi | — | — | — | 22:18 UTC | View → |
| Kalshi | — | — | — | 17:13 UTC | View → |
| Kalshi | — | — | — | 20:48 UTC | View → |
| Kalshi | — | — | — | 12:25 UTC | View → |
| Kalshi | — | — | — | 23:50 UTC | View → |
| Kalshi | — | — | — | 19:18 UTC | View → |
| Kalshi | — | — | — | 16:52 UTC | View → |
| Kalshi | — | — | — | 23:01 UTC | View → |
| Kalshi | — | — | — | 23:26 UTC | View → |
| Kalshi | — | — | — | 22:48 UTC | View → |
| Kalshi | — | — | — | 20:31 UTC | View → |
| Kalshi | — | — | — | 20:31 UTC | View → |
| Kalshi | — | — | — | 23:52 UTC | View → |
| Kalshi | — | — | — | 23:42 UTC | View → |
| Kalshi | — | — | — | 20:10 UTC | View → |
| Kalshi | — | — | — | 17:15 UTC | View → |
| Kalshi | — | — | — | 12:57 UTC | View → |
| Kalshi | — | — | — | 13:20 UTC | View → |
| Kalshi | — | — | — | 20:37 UTC | View → |
| Kalshi | — | — | — | 17:56 UTC | View → |
| Kalshi | — | — | — | 12:25 UTC | View → |
What do these odds mean?
Cross-platform data for yes Boston,yes Orlando,yes Philadelphia,yes Elena-Gabriela Ruse 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
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