yes Toronto,yes Atlanta,yes Boston,yes Charlotte

% Consensus YES
Platforms 1
Total Volume $0
Cross-platform spread
Resolves 2026-04-13
Platform Yes No Volume Last seen Link
Kalshi 08:27 UTC View →
Kalshi 23:30 UTC View →
Kalshi 18:16 UTC View →
Kalshi 05:00 UTC View →
Kalshi 04:58 UTC View →
Kalshi 14:17 UTC View →
Kalshi 17:16 UTC View →
Kalshi 21:16 UTC View →
Kalshi 21:09 UTC View →
Kalshi 14:58 UTC View →
Kalshi 02:22 UTC View →
Kalshi 21:20 UTC View →
Kalshi 13:27 UTC View →
Kalshi 02:22 UTC View →
Kalshi 20:32 UTC View →
Kalshi 13:41 UTC View →
Kalshi 05:00 UTC View →
Kalshi 13:57 UTC View →
Kalshi 14:18 UTC View →
Kalshi 13:56 UTC View →
Kalshi 00:08 UTC View →
Kalshi 08:53 UTC View →
Kalshi 13:57 UTC View →
Kalshi 08:12 UTC View →
Kalshi 06:54 UTC View →
Kalshi 16:33 UTC View →
Kalshi 22:51 UTC View →
Kalshi 14:46 UTC View →
Kalshi 14:59 UTC View →
Kalshi 07:05 UTC View →
Kalshi 05:31 UTC View →
Kalshi 05:31 UTC View →
Kalshi 05:31 UTC View →
Kalshi 04:28 UTC View →
Kalshi 23:28 UTC View →
Kalshi 05:32 UTC View →
Kalshi 13:59 UTC View →
Kalshi 14:45 UTC View →
Kalshi 05:21 UTC View →
Kalshi 05:30 UTC View →
Kalshi 05:54 UTC View →
Kalshi 22:34 UTC View →
Kalshi 09:54 UTC View →
Kalshi 16:35 UTC View →
Kalshi 22:31 UTC View →
Kalshi 14:45 UTC View →
Kalshi 07:03 UTC View →
Kalshi 14:01 UTC View →
Kalshi 05:35 UTC View →
Kalshi 05:35 UTC View →
Kalshi 10:57 UTC View →
Kalshi 12:40 UTC View →
Kalshi 10:56 UTC View →
Kalshi 20:58 UTC View →
Kalshi 13:59 UTC View →
Kalshi 10:57 UTC View →
Kalshi 15:55 UTC View →
Kalshi 00:28 UTC View →
Kalshi 20:10 UTC View →
Kalshi 14:51 UTC View →
Kalshi 14:45 UTC View →
Kalshi 14:46 UTC View →
Kalshi 09:21 UTC View →
Kalshi 16:36 UTC View →
Kalshi 08:12 UTC View →
Kalshi 04:23 UTC View →
Kalshi 04:23 UTC View →
Kalshi 14:44 UTC View →
No history yet — first few snapshots pending.
Probability history, most recent 30 days

What do these odds mean?

Cross-platform data for yes Toronto,yes Atlanta,yes Boston,yes Charlotte 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.

Last updated: 2026-04-11 00:28:39 UTC · Download JSON

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