TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 13, 4:00 PM EST
Limitless
These markets track whether Alphabet Inc. (GOOGL/GOOG) closes higher or lower on July 13, 2026 compared to the most recent prior trading day. Both platforms use Pyth as the primary data source and apply identical comparison logic: Up if July 13 close > prior trading day close, Down otherwise.
This market will resolve to "Up" if the Close price for Alphabet Inc. (GOOGL) on July 13, 2026 is higher than the Close price for Alphabet Inc. (GOOGL) on the most recent prior trading day. This market will resolve to "Down" if the Close price for Alphabet Inc. (GOOGL) on July 13, 2026 is lower than the Close price for Alphabet Inc. (GOOGL) 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 Alphabet Inc. (GOOGL) 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.GOOGL%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.GOOGL%2FUSD?t=1773432000).
This market will resolve to "Up" if the price for Google (Pyth GOOG/USD) on July 13, 2026 is strictly higher than the price for Google (Pyth GOOG/USD) on the most recent prior trading day. Otherwise, this market will resolve to "Down". The price for Google (Pyth GOOG/USD) captured on July 10, 2026 was $355.02500. Resolution source: Pyth GOOG/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 Google (GOOG) does not trade at all during the regular session on July 13, 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 GOOG 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 GOOG during the relevant time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.
Prediction markets and Wall Street analyst forecasts operate on different timescales and methodologies. Analysts typically issue price targets over months or years, while this market focuses on a single day's directional move. Prediction markets aggregate dispersed information and incentivize accuracy through real money at stake, whereas analyst reports reflect institutional research and may carry conflicts of interest. When odds on this market diverge sharply from analyst sentiment, it often signals either that the market has priced in recent developments analysts haven't fully incorporated, or that traders are positioning ahead of expected volatility. Comparing the two can reveal where consensus breaks down.
Polymarket and Limitless can show different odds on the same event due to variations in user base, liquidity depth, and fee structures. Polymarket and Limitless can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts traders with different risk tolerances and information sets, so prices may lag or lead depending on where news breaks first or where volume concentrates. Arbitrage opportunities between venues are often limited by withdrawal delays and trading costs, allowing price gaps to persist. Monitoring both platforms gives you a fuller picture of where the broader prediction market community stands on this outcome.
Earnings announcements, regulatory news, macroeconomic data releases, and sector-wide tech sentiment shifts can all trigger sharp repricing in this market. Unexpected product launches, executive changes, or competitive developments may shift trader conviction overnight. Broader market movements—such as interest rate expectations or Fed communications—often drag individual stocks with them, so monitoring the S&P 500 and Nasdaq futures is valuable. Intraday volatility spikes, options expiration activity, and large institutional trades can also influence short-term directional bias. Traders typically watch financial news, earnings calendars, and technical support and resistance levels closely as the resolution date approaches.