TOTAL VOLUME:
$146.6b
24H VOL:
$161,047,490
24H TRANSACTIONS:
2,781,800,361
OPEN INTEREST:
$1,744,915,607
504,917
Markets across
37,612
events
MATCHED EVENTS:
2,946
PLATFORM COVERAGE:
5
Polymarket:
38%
VS.
Kalshi:
62%
Crooked Hillary
- Kalshi
Crooked Hillary - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Jan 1, 2027
$
This event tracks whether Donald Trump uses specific nicknames or phrases targeting various public figures and entities in his public communications before the start of 2027. The focus is on verbal or written expressions made through speeches, social media, or quoted statements, excluding formal governmental actions.
The event evaluates whether Donald Trump utters any of the listed nicknames or phrases—Barack Hussein Obama, Biden Crime Family, Comrade Kamala, Crazy Bernie, Crooked Hillary, Crying Chuck/Cryin Chuck, Sleazebag, Crooked Joe, Low IQ, Too Late, Little Communist, Marjorie Traitor Greene, Newscum, Pocahontas, Slopadopolous/Slopadopolus, Whack Job/Wack Job, Rocket Man, Low Energy, Piggy, Fat Slob, Crazy Nancy, Fake Tapper, or Talafreako/Tala Freako—in any public statement, direct quote published by major news agencies, or written post on his personal social media accounts (Twitter or Truth Social) between October 1, 2026, at 10:00 a.m. ET and January 1, 2027, at midnight ET. The exact phrase, or its plural/possessive form, must be used; grammatical or tense variations do not count. Official governmental actions such as executive orders or signed bills are excluded from consideration. Any valid usage during the specified timeframe for any of the listed nicknames resolves the market positively.
Comparing prediction market odds to analyst forecasts reveals interesting insights into collective belief versus expert opinion. While analysts often provide reasoned predictions based on political strategy and historical trends, this market reflects the wisdom of the crowd, aggregating diverse perspectives and potentially identifying overlooked factors. It’s common to see discrepancies, as markets can quickly incorporate new information and react to events in ways that traditional analysis might not. Ultimately, this market offers a unique data point alongside expert opinions, providing a broader view of potential outcomes.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each potential nickname. The price of a contract reflects the probability of that nickname being used by former President Trump before Jan 1, 2027. As more traders buy a contract, its price increases, indicating a higher perceived probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s depth and liquidity – currently at $455 in 24-hour volume – influence how efficiently prices reflect new information and changing sentiment. This dynamic pricing mechanism allows for real-time assessment of expectations.
This market resolves around Jan 1, 2027, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will assess whether former President Trump publicly uses any of the listed nicknames before that date. Resolution will be based on transcripts of speeches, interviews, and official social media posts. The focus is on clear, unambiguous usage of the nicknames in public statements. Any ambiguity will be resolved based on commonly accepted definitions and interpretations of the terms.
Several signals or events could significantly move this market. Any public statements made by former President Trump, particularly regarding political opponents or current events, are likely to influence trading activity. Major news events, such as indictments, debates, or significant policy announcements, could also trigger shifts in sentiment. Unexpected endorsements or controversies could also play a role. Furthermore, increased media coverage focusing on Trump’s rhetoric or past nicknames could drive volume and alter the probabilities reflected in this market.