6,382markets tracked
116,601,53924h contracts
16categories
43,050settled sample
3,928live / active
636upcoming events
4,414rankable
1,818pinned / post-event excluded
12.0σhighest |z| flag
24.03×median rel-vol (outliers)
Most Interesting Market Right Now
Dallas vs New York
Moved down 12.0x its typical 4h range on 221,421 contracts of 24h volume. Research flag only; not a recommendation.
Price 10¢
Move -12.00σ
24h vol 221,421
Live event · 93.8h since start·WNBA
Categories
Sports
Top overextension-12.0σ · Dallas vs New York
Politics
Top overextension+1.3σ · Will Trump post on Truth Social between 4:00 AM and 4:59 AM
Elections
Top overextension-2.7σ · Will it be confirmed that Troy Jackson is the Democratic nom
Entertainment
Top overextension+6.7σ · Will Melanie and Sincere win Love Island USA Season 8?
Crypto
Top overextension-0.9σ · Will BTC trimmed mean be above $65000.00 by 11:59 PM ET on J
Economics
Top overextension+7.9σ · CPI core month-over-month in Jun 2026?
Mentions
Top overextension-4.6σ · Will Trump say "Stupid Question" before Jul 13, 2026?
Science and Technology
Top overextension-2.0σ · Which nuclear power companies will achieve criticality befor
Financials
Top overextension-3.8σ · Will Get-in price of the 2026 World Cup Final on TicketData
Climate and Weather
Top overextension-7.4σ · Rain in Dallas in Jul 2026?
Commodities
Top overextension+3.9σ · Will the brent crude oil close price be above 74.99 USD/Bbl
Companies
Top overextension+0.0σ · Will Apple announce a foldable phone by Dec 31, 2026?
Other
Top overextension+0.0σ · Will John Cale be featured on Music, Fashion, Film by Charli
Social
Health
World
24h volume share
Sports
89.6% · 104,523,809
Politics
3.3% · 3,826,828
Elections
2.6% · 3,021,051
Entertainment
1.0% · 1,116,480
Crypto
0.9% · 1,086,172
Economics
0.9% · 1,044,448
Mentions
0.8% · 973,463
Science and Technology
0.3% · 302,707
Financials
0.2% · 259,111
Climate and Weather
0.2% · 193,474
Commodities
0.2% · 179,747
Companies
0.1% · 60,426
Other
0.0% · 12,350
Social
0.0% · 1,023
Health
0.0% · 262
World
0.0% · 188
Up Next — Scheduled Events
Soonest scheduled event markets with known start times, regardless of metric history.
| Market | Starts | Price | Trend | Vol 24h | Open int |
|---|---|---|---|---|---|
| Colorado vs San Francisco Total Runs > 9?UPCOMING Starts Jul 10, 10:15PM ET·MLB total | in 24m | 48¢ | 994,379 | 799,190 | |
| Arizona vs Los Angeles D Winner?UPCOMING Starts Jul 10, 10:10PM ET·MLB moneyline | in 24m | 34¢ | 516,215 | 448,788 | |
| Arizona vs Los Angeles D Winner?UPCOMING Starts Jul 10, 10:10PM ET·MLB moneyline | in 24m | 66¢ | 493,840 | 527,001 | |
| Colorado vs San Francisco Winner?UPCOMING Starts Jul 10, 10:15PM ET·MLB moneyline | in 24m | 58¢ | 278,208 | 299,678 | |
| Los Angeles D wins by over 1.5 runs?UPCOMING Starts Jul 10, 10:10PM ET·MLB spread | in 24m | 48¢ | 205,016 | 207,966 | |
| Arizona vs Los Angeles D Total Runs > 9?UPCOMING Starts Jul 10, 10:10PM ET·MLB total | in 24m | 56¢ | 103,132 | 94,496 | |
| San Francisco wins by over 1.5 runs?UPCOMING Starts Jul 10, 10:15PM ET·MLB spread | in 24m | 40¢ | 64,747 | 76,482 | |
| Arizona vs Los Angeles D First Inning Run?UPCOMING Starts Jul 10, 10:10PM ET·MLB | in 24m | 52¢ | 63,651 | 62,404 | |
| Colorado vs San Francisco Winner?UPCOMING Starts Jul 10, 10:15PM ET·MLB moneyline | in 24m | 42¢ | 63,466 | 61,878 | |
| Los Angeles D wins by over 2.5 runs?UPCOMING Starts Jul 10, 10:10PM ET·MLB spread | in 24m | 38¢ | 48,040 | 53,724 | |
| Colorado vs San Francisco First Inning Run?UPCOMING Starts Jul 10, 10:15PM ET·MLB | in 24m | 48¢ | 39,142 | 36,803 | |
| Colorado vs San Francisco Total Runs > 10?UPCOMING Starts Jul 10, 10:15PM ET·MLB total | in 24m | 38¢ | 38,742 | 36,650 |
Most OverextendedWhat is this?
Markets with the largest recent logit-space move versus their own history.
How to read this table
Each market's recent move is measured in log-odds and standardized against its own history. Z = +2 means the market just moved further than ~95% of its typical moves — red = up, green = down. The bar has a zero baseline and a symmetric ±4σ scale. A large |Z| is a research flag, not a recommendation.
Distance From Crowd BasisWhat is this?
Current probability versus the approximate volume-weighted crowd cost basis.
How to read this table
The mini chart is a volume-at-price profile. The gold bar is the POC — the level where the most contracts changed hands, i.e. the crowd's approximate cost basis. The blue bar is current price. Stretch is the distance between them; conviction is the share of volume within ±5¢ of the POC.
Reversion Follow-ThroughWhat is this?
After similar historical unusual moves, how much of the move was later given back within the next window.
How to read this panel
Every historical |Z| ≥ 2 unusual move in collected data is tracked one window forward: did the probability retrace or extend? The split bar is the observed base rate; avg retrace is how much of the typical move was given back (negative = moves kept extending).
376unusual moves observed (|Z| ≥ 2)
41%partial reversion rate
9%avg move given back
Vol vs Peers — OutliersWhat is this?
Current hourly logit volatility compared with similar markets in the same lifecycle and expiry bucket.
How to read this table
σ logit/hr is each market's hourly volatility in log-odds. The × column compares it against the median of markets with similar time-to-expiry, since volatility naturally rises near resolution. 3× = three times as jumpy as lifecycle peers.
CalibrationWhat is this?
How often markets settled YES by final price bucket.
How to read this chart
Settled markets only: contracts priced ~80¢ should resolve YES ~80% of the time. Bars below the dotted diagonal mean that price range settled YES less often than priced; bars above, more often. n = bucket sample size.
perfect calibration
1%25%50%75%100%
actual YES rate when sample is sufficientdotted line = perfect calibrationexpected/implied value when no samplelow sample bucket
Hover any bar for bucket value and sample size. 8 of 100 buckets currently have enough settled samples; muted bars preserve the full probability scale without overstating thin data.