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Robinhood (HOOD) Up or Down on October 12?
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Robinhood (HOOD) Up or Down on October 12?

Volume:
$1,598

Robinhood (HOOD) Up or Down on October 12?

 - Polymarket

Robinhood (HOOD) Up or Down on October 12? - Polymarket

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Resolved Oct 12, 2026

Closed: Oct 12, 7:21 PM EST

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Robinhood (HOOD) Up or Down on October 12?

View
100%
31%
Yes 100¢No 0¢
—
N/A
$1,598
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

This market will resolve to "Up" if the Close price for Robinhood Markets, Inc. (HOOD) on October 12, 2026 is higher than the Close price for Robinhood Markets, Inc. (HOOD) on the most recent prior trading day. This market will resolve to "Down" if the Close price for Robinhood Markets, Inc. (HOOD) on October 12, 2026 is lower than the Close price for Robinhood Markets, Inc. (HOOD) on the most recent prior trading day. E.g., ordinarily, a market on Monday would refer to the previous Friday for its most recent closing price, unless that Friday were a market holiday, in which case it would refer to Thursday, or the next most recent trading day. If the two specified closing prices are exactly equal, this market will resolve 50-50. Closing prices will be used exactly as published by Pyth, without rounding. If Robinhood Markets, Inc. (HOOD) does not trade at all during the regular session, the market will resolve 50-50. For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If either of the relevant days has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day. Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth. The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle available at https://pythdata.app/explore/Equity.US.HOOD%2FUSD. Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.HOOD%2FUSD?t=1773432000).

Polymarket

This market will resolve to "Up" if the Close price for Robinhood Markets, Inc. (HOOD) on October 12, 2026 is higher than the Close price for Robinhood Markets, Inc. (HOOD) on the most recent prior trading day. This market will resolve to "Down" if the Close price for Robinhood Markets, Inc. (HOOD) on October 12, 2026 is lower than the Close price for Robinhood Markets, Inc. (HOOD) on the most recent prior trading day. E.g., ordinarily, a market on Monday would refer to the previous Friday for its most recent closing price, unless that Friday were a market holiday, in which case it would refer to Thursday, or the next most recent trading day. If the two specified closing prices are exactly equal, this market will resolve 50-50. Closing prices will be used exactly as published by Pyth, without rounding. If Robinhood Markets, Inc. (HOOD) does not trade at all during the regular session, the market will resolve 50-50. For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If either of the relevant days has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day. Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth. The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle available at https://pythdata.app/explore/Equity.US.HOOD%2FUSD. Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.HOOD%2FUSD?t=1773432000).

Frequently asked questions

On Polymarket, the dashboard for the HOOD stock market tracks the current odds that the stock will be up or down on October 12. You can view the implied probability of each outcome, as well as the 24-hour trading volume, which currently stands at $1,598. The total volume traded in this market is $1,598. The dashboard also displays a price history chart, allowing you to see how the market has moved over time and assess trader sentiment regarding the future direction of Robinhood’s stock price.

Currently, prediction market odds reflect a different perspective than many traditional analyst forecasts for Robinhood. While some analysts predict a positive outlook based on recent trading activity, this market indicates a more uncertain view. It's important to note that prediction markets represent the collective wisdom of a diverse group of traders, potentially incorporating information and perspectives not fully captured in standard financial analysis. This difference in outlook highlights the value of considering multiple sources of information when evaluating potential investment outcomes.

On Polymarket, this market is priced through a continuous auction mechanism, where traders buy and sell shares representing their belief about whether the HOOD stock will be up or down on October 12. The price of these shares directly reflects the probability of each outcome, as determined by supply and demand. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders believe the stock will rise, the higher the price of 'up' shares will climb, and vice versa. This dynamic pricing ensures the market reflects the most up-to-date collective intelligence of participants.

This market resolves around Oct 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the closing price of Robinhood (HOOD) stock on October 12 will be used to determine whether the market settles as 'up' or 'down'. A higher closing price than the opening price on that day will result in a settlement of 'up', while a lower closing price will result in a settlement of 'down'. The market's resolution is based on publicly available financial data.

Several signals or events could significantly move this market before Oct 12, 2026. Major news regarding Robinhood’s financial performance, such as earnings reports or significant changes in user activity, would likely impact trading. Broader market trends, particularly those affecting the technology or financial sectors, could also play a role. Unexpected regulatory announcements or shifts in investor sentiment towards meme stocks could also cause substantial price fluctuations in this market. Any significant company announcements or macroeconomic data releases could influence trader behavior.