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Will Mamdani sign an executive order this week? (7/19 - 7/25)
kalshi

Will Mamdani sign an executive order this week?

Volume:
$11,735

Above 0

 - Kalshi

Above 0 - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 20, 2026

Closed: Jul 20, 5:34 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Above 0

View
100%
Yes 100¢No 0¢
100¢
N/A
$11,735
N/A
N/A
$6,667
3w 2d 18h
Yes
Total markets: 1

Description

This event tracks whether a specific political figure will issue any non-emergency executive orders during a particular week in July 2026. It measures the executive activity of this individual during that specified timeframe.

Kalshi

If the number of non-emergency executive orders signed by Zohran Mamdani is above 0 from Jul 19, 2026 to Jul 25, 2026, then the market resolves to Yes.

Frequently asked questions

The Mamdani executive order market dashboard on Kalshi tracks real-time odds and trading activity for whether an executive order will be signed during the week of July 19–25. The interface displays current price levels, historical price movements, and $11,344 in 24-hour volume to help traders monitor sentiment shifts. This market aggregates predictions from all active traders on the platform, reflecting collective expectations about whether the executive action will occur within the specified timeframe. Updated continuously throughout the trading week, the dashboard provides transparency into how market participants are pricing this political event.

Prediction market odds and polling averages measure different things. Polls typically capture voter or public sentiment at a single moment, while this market reflects traders' probabilistic forecasts of a specific outcome—in this case, whether an executive order will be signed by the end of the week. Market prices incorporate real-time information, breaking news, and trader conviction, often adjusting faster than traditional surveys. Both tools are useful: polls show current opinion, while prediction markets reveal what informed participants believe will actually happen. Comparing the two can highlight gaps between public sentiment and expected outcomes.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing "yes" or "no" outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each share reflects the market's current probability estimate, with prices ranging from $0 to $1. Traders profit by correctly predicting whether the executive order will be signed, and the spread between bid and ask prices reflects uncertainty and liquidity. As new information emerges or trader conviction shifts, prices adjust dynamically, allowing participants to enter or exit positions throughout the week.

This market resolves around Oct 23, 2026, marking the end of the specified week. The outcome is determined by whether a credible public source confirms that an executive order was signed during the July 19–25 period. Once the week closes and reporting is verified, the market settles to either $1 (if yes) or $0 (if no), and traders' profits or losses are finalized based on their positions. Resolution relies on transparent, widely-reported information to ensure fairness and accuracy.

Several catalysts could shift odds significantly. Official announcements or statements from relevant officials about planned executive actions would likely trigger sharp price movements. Media reports on policy priorities or legislative developments could influence trader expectations. Breaking news about political developments, scheduling changes, or procedural delays might also impact the market. Intraweek momentum—such as increased trading volume or notable position changes by large traders—can signal shifting conviction. Finally, as the week progresses and the deadline approaches, the market typically becomes more sensitive to last-minute developments, with prices converging toward resolution as uncertainty resolves.