TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

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40,345

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MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

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Kalshi:

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Politics
Will Trump order more tariffs in Oct 2026?
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Will Trump order more tariffs in Oct 2026?

Volume:
$9,067

Yes

 - Kalshi

Yes - Kalshi

1W

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Positive

Negative

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Vol.

·

Resolved Oct 23, 2026

Closed: Oct 23, 6:04 PM EST

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

Yes

View
100%
79%
Yes 100¢No 0¢
—
N/A
$9,067
N/A
N/A
$5,040
Settled
Yes
Total markets: 1

Description

This event tracks whether Donald Trump will issue an executive action imposing new or increased tariffs during a specific month. The action must be a formal presidential document that directly addresses tariff policy. The requirement emphasizes that the action must be signed by the President and have clear policy impact.

Kalshi

If Donald Trump has taken any executive action imposing new or increased tariffs on any country, provided the action specifies an effective date (even if such date occurs after expiration) in Oct 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, this market’s dashboard tracks the current odds of whether former President Trump will order additional tariffs impacting trade with China in October 2026. You can view the implied probability of different outcomes, explore the price history to see how sentiment has shifted over time, and monitor the 24-hour trading volume, which is currently $2,789. The total volume traded on this market to date is $9,067. This allows users to gauge market sentiment regarding potential future trade policy decisions.

Currently, prediction market odds often reflect a different perspective than traditional polls. While polls capture stated opinions, this market represents what people are willing to *wager* on, offering a measure of true belief. Historical data suggests that prediction markets can be more accurate than polls in forecasting political and economic events, though discrepancies can exist. It’s important to remember that polls measure intention, while this market reflects expectation, and the two aren’t always aligned. Examining both sources provides a more comprehensive understanding of potential outcomes.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing their belief about whether Trump will impose new tariffs. The price of a contract reflects the probability of that outcome occurring, with higher prices indicating a greater perceived chance. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market adjusts dynamically as traders react to new information and refine their predictions. This creates a real-time assessment of expectations regarding the future of the US-China trade relationship, offering a unique insight beyond traditional analysis.

This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will depend on whether a verifiable official statement is released by the U.S. Trade Representative’s office, or by the former President directly, announcing the imposition of new tariffs on goods imported from China during the month of October 2026. The focus is on *new* tariffs ordered during that specific timeframe, not existing or previously announced measures.

Several factors could significantly influence this market. Major economic data releases from the US and China, shifts in the political landscape, and statements from key policymakers regarding trade policy are all potential catalysts. Unexpected geopolitical events or escalating tensions between the two countries could also drive price movements. Furthermore, any indications of a change in Trump’s stance on trade, even through social media or campaign speeches, could impact trading activity and shift the odds in this market. Monitoring these signals will be crucial for understanding market dynamics.