TOTAL VOLUME:

$154.6b

24H VOL:

$323,326,361

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,969,435,260

419,363

Markets across

40,411

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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QQQ Up or Down - October 27, 2:30PM-2:45PM ET
predict

Will QQQ be up or down by October 27?

Volume:
$66

QQQ Up or Down - October 27, 2:30PM-2:45PM ET

 - Predict

QQQ Up or Down - October 27, 2:30PM-2:45PM ET - Predict

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Oct 27, 2026

Closed: Oct 27, 2:45 PM EST

predict

Predict

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predict

QQQ Up or Down - October 27, 2:30PM-2:45PM ET

View
100%
Yes 100¢No 0¢
—
$104
$66
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

This market will resolve to "Up" if the QQQ/USDT price at the end of the time range specified in the title is greater than the price at the beginning of that range. It will resolve to "Down" if the QQQ/USDT price at the end of the time range is lower than the price at the beginning of that range. If the two prices are exactly equal, the market will resolve 50-50. The primary resolution source for this market is Chainlink, specifically the QQQ/USDT data stream available at https://data.chain.link/streams/qqq-usdt-markpriceindex-datalink?timeframe=1d&chart=candlestick To verify the final price, use the close price of the 5m candlestick just before the market's end time. For example, for a market running from 1:00 to 1:15 PM ET, use the close price of the 1:10 PM candlestick as the final price. The resolution source uses the index price (field i) from Binance's USDS-Margined Futures Mark Price Stream for All Markets (!markPrice@arr), denominated in the quote currency. This market is based solely on the price reported by the Chainlink QQQ/USDT data stream, not on other sources or futures markets. If Chainlink data is unavailable or otherwise unusable for resolution, the market will resolve based on a consensus of reliable sources. 2026-10-27T18:30:00Z

Predict

This market will resolve to "Up" if the QQQ/USDT price at the end of the time range specified in the title is greater than the price at the beginning of that range. It will resolve to "Down" if the QQQ/USDT price at the end of the time range is lower than the price at the beginning of that range. If the two prices are exactly equal, the market will resolve 50-50. The primary resolution source for this market is Chainlink, specifically the QQQ/USDT data stream available at https://data.chain.link/streams/qqq-usdt-markpriceindex-datalink?timeframe=1d&chart=candlestick To verify the final price, use the close price of the 5m candlestick just before the market's end time. For example, for a market running from 1:00 to 1:15 PM ET, use the close price of the 1:10 PM candlestick as the final price. The resolution source uses the index price (field i) from Binance's USDS-Margined Futures Mark Price Stream for All Markets (!markPrice@arr), denominated in the quote currency. This market is based solely on the price reported by the Chainlink QQQ/USDT data stream, not on other sources or futures markets. If Chainlink data is unavailable or otherwise unusable for resolution, the market will resolve based on a consensus of reliable sources. 2026-10-27T18:30:00Z

Frequently asked questions

On Predict, the dashboard for the QQQ direction market tracks the current odds of the QQQ rising or falling between 2:30PM and 2:45PM ET on October 27th. You’ll find a price history chart showing how the probabilities have shifted over time, and the total 24-hour volume traded in this market. Currently, the total volume is $66, and the overall volume for this market is $66. This provides a real-time view of how traders are assessing the likely direction of the QQQ during that specific window.

Currently, prediction market odds often reflect a different perspective than traditional analyst forecasts. While analysts may offer point estimates or directional advice, this market aggregates the wisdom of the crowd, representing a probabilistic view of the QQQ’s movement. It’s common to see discrepancies, particularly when significant uncertainty exists or when analysts have conflicting opinions. This market provides a dynamic, real-time assessment, potentially capturing information not fully reflected in static analyst reports. Comparing this market to broader financial analyst sentiment can reveal interesting insights into market expectations.

On Predict, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about whether the QQQ will be up or down during the specified timeframe. The price of these contracts fluctuates based on supply and demand, effectively creating a real-time probability assessment. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The closer we get to the resolution time, the more volatile the price may become as new information emerges and traders adjust their positions. This dynamic pricing mechanism allows for a fluid and responsive market.

This market resolves around Oct 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the direction of the QQQ will be determined by comparing its price at 2:45PM ET on October 27th to its price at 2:30PM ET on the same day. If the price at 2:45PM ET is higher, the “QQQ Up” outcome will be verified; if it is lower, the “QQQ Down” outcome will be verified. The resolution is based on publicly available market data and does not require any subjective judgment.

Several factors could significantly move this market before Oct 27, 2026. Unexpected economic data releases, such as inflation reports or GDP figures, could influence investor sentiment towards the QQQ. Major news events affecting technology companies, which heavily comprise the QQQ, would also be impactful. Additionally, any surprise announcements from the Federal Reserve regarding monetary policy could trigger substantial price movements. Geopolitical events or shifts in overall market risk appetite could also contribute to volatility in this market, as traders react to changing conditions.