TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 30, 12:00 PM EST
Polymarket
This market will resolve according to the number of times Ted Cruz (@tedcruz), posts on X between June 23, 12:00 PM ET and June 30, 2026, 12:00 PM ET. For the purposes of this market, only main feed posts, quote posts and reposts will count. Replies will NOT count towards the total - however, replies which are recorded on the main feed will be counted by the tracker. Deleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes). The resolution source for this market is the "Post Counter" figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking "Export Data". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.
This market will resolve according to the number of times Ted Cruz (@tedcruz), posts on X between June 23, 12:00 PM ET and June 30, 2026, 12:00 PM ET. For the purposes of this market, only main feed posts, quote posts and reposts will count. Replies will NOT count towards the total - however, replies which are recorded on the main feed will be counted by the tracker. Deleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes). The resolution source for this market is the "Post Counter" figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking "Export Data". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.
Prediction markets and traditional polls measure different things, but both offer insight into future events. While polls typically capture snapshot opinions on policy or favorability, this market distills real-money forecasts into a single probability. Traders with financial incentives to be accurate often incorporate polling data, news cycles, and historical patterns into their positions. Prediction market odds tend to update faster than poll aggregates when new information emerges, making them a complementary signal. For social media activity specifically, markets can reflect behavioral patterns and seasonal trends that standard surveys don't capture.
On Polymarket, traders set prices by buying and selling shares tied to specific outcomes—in this case, whether Cruz will post a certain number of times during the resolution window. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Share prices range from $0 to $1, where a price of $0.65 implies a 65% probability assigned by the market. Liquidity and order flow determine how quickly prices move; larger trades can shift odds more dramatically on thinner books. The continuous order book mechanism means prices update in real time as new information surfaces or trader sentiment shifts.
This market resolves around Jun 30, 2026, after the June 23–30 observation period closes. The outcome is determined by counting verified posts from Senator Cruz's official X account during that week, confirmed once the data is verifiable from credible public sources. Resolution hinges on an objective, auditable count rather than subjective interpretation. Traders who correctly predicted the post range will receive payouts proportional to their position size, while incorrect positions expire worthless.
Major political events—legislative votes, campaign announcements, or high-profile controversies—often correlate with increased social media activity from elected officials. Seasonal patterns, such as congressional recesses or recess periods, may suppress posting frequency. Breaking news cycles and media attention can trigger rapid response posts. Historical data on Cruz's typical weekly post count provides a baseline; significant deviations from that pattern would likely shift trader expectations. Market participants will also monitor competing demands on his time, such as committee hearings or travel, which could reduce availability for social media engagement.