TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Aerospace & Defense ETF (ITA) Up or Down - Daily
limitless

Aerospace & Defense ETF (ITA) Up or Down - Daily

Volume:
$77,533

Aerospace & Defense ETF (ITA) Up or Down - Daily

 - Limitless

Aerospace & Defense ETF (ITA) Up or Down - Daily - Limitless

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Aug 3, 2026

Closed: Aug 3, 4:00 PM EST

limitless

Limitless

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Outcome
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Chance %
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Spread
Liquidity
Volume
24h
7d
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limitless

Aerospace & Defense ETF (ITA) Up or Down - Daily

View
100%
Yes 100¢No 0¢
98¢
N/A
$77,533
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

This market will resolve to "Up" if the price for Aerospace & Defense ETF (Pyth ITA/USD) on August 3, 2026 is strictly higher than the price for Aerospace & Defense ETF (Pyth ITA/USD) on the most recent prior trading day. Otherwise, this market will resolve to "Down". The price for Aerospace & Defense ETF (Pyth ITA/USD) captured on July 31, 2026 was $239.51502. Resolution source: Pyth ITA/USD price feed. Other exchanges, spot markets, and oracles will not be used. For example, a Monday market would ordinarily compare Monday's price with the previous Friday's price, unless that Friday was a market holiday. In that case, it would compare against Thursday's price, or the next most recent trading day. If Aerospace & Defense ETF (ITA) does not trade at all during the regular session on August 3, 2026, this market will resolve to "Down". For a standard full trading session, the price for that trading day refers to the Pyth price at the end of regular trading hours on the primary exchange. If either relevant trading day has no valid Pyth price at the end of regular trading hours on the primary exchange, the last valid Pyth price published during that day's regular trading hours will be used as the effective price for that day. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official price published by the primary exchange on which ITA is listed will be used to determine the price for that day. In the event of a stock split, reverse stock split, or similar corporate action affecting ITA during the relevant time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.

Limitless

This market will resolve to "Up" if the price for Aerospace & Defense ETF (Pyth ITA/USD) on August 3, 2026 is strictly higher than the price for Aerospace & Defense ETF (Pyth ITA/USD) on the most recent prior trading day. Otherwise, this market will resolve to "Down". The price for Aerospace & Defense ETF (Pyth ITA/USD) captured on July 31, 2026 was $239.51502. Resolution source: Pyth ITA/USD price feed. Other exchanges, spot markets, and oracles will not be used. For example, a Monday market would ordinarily compare Monday's price with the previous Friday's price, unless that Friday was a market holiday. In that case, it would compare against Thursday's price, or the next most recent trading day. If Aerospace & Defense ETF (ITA) does not trade at all during the regular session on August 3, 2026, this market will resolve to "Down". For a standard full trading session, the price for that trading day refers to the Pyth price at the end of regular trading hours on the primary exchange. If either relevant trading day has no valid Pyth price at the end of regular trading hours on the primary exchange, the last valid Pyth price published during that day's regular trading hours will be used as the effective price for that day. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official price published by the primary exchange on which ITA is listed will be used to determine the price for that day. In the event of a stock split, reverse stock split, or similar corporate action affecting ITA during the relevant time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.