TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 17, 4:00 PM EST
Polymarket
This market will resolve to "Yes" if the Close price for Alphabet Inc. (GOOGL) on the final day of trading of the week specified in the title (normally Friday) is higher than the listed price. Otherwise, this market will resolve to "No." If the two specified prices are exactly equal, this market will resolve to "No". 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 of the final trading day of the week, 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 the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used. If the relevant day 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. 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 target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied. The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Alphabet Inc. (GOOGL) available at https://pythdata.app/explore/Equity.US.GOOGL%2FUSD.
This market will resolve to "Yes" if the Close price for Alphabet Inc. (GOOGL) on the final day of trading of the week specified in the title (normally Friday) is higher than the listed price. Otherwise, this market will resolve to "No." If the two specified prices are exactly equal, this market will resolve to "No". 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 of the final trading day of the week, 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 the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used. If the relevant day 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. 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 target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied. The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Alphabet Inc. (GOOGL) available at https://pythdata.app/explore/Equity.US.GOOGL%2FUSD.
Prediction market odds often diverge from traditional analyst price targets because they reflect real-money incentives and crowd wisdom rather than single-firm research. While equity analysts publish consensus estimates based on financial models, this market prices the outcome through continuous trading by informed and casual participants alike. Comparing the two reveals whether the crowd expects a more bullish or bearish outcome than the Street consensus, and such gaps can highlight overlooked catalysts or overconfidence in consensus views.
On Polymarket, this market is priced through an automated market maker that converts trader buy and sell orders into real-time probability quotes. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders purchase shares representing "yes" or "no" outcomes, and the price of each share reflects the crowd's belief in that outcome. As new information arrives—earnings surprises, analyst downgrades, or macroeconomic shifts—traders adjust their positions, moving the odds in real time until the market resolves.
This market resolves around Jul 17, 2026, once the trading week concludes and GOOGL's closing price is finalized. The outcome is confirmed against credible public financial data sources, ensuring an objective and verifiable result. Traders holding the winning outcome receive their payout, while losing positions expire worthless. The resolution hinges solely on whether the stock finished above the specified price level during that particular week.
Key catalysts include quarterly earnings announcements, changes in interest rates or tech sector valuations, regulatory developments, and shifts in AI investment sentiment. Macroeconomic data—inflation reports, Fed policy signals, or recession fears—can also trigger sharp repricing. Competitive announcements from rivals, management commentary, or unexpected product launches may shift trader conviction. Real-time news flow and options market activity often precede large moves in prediction markets, as sophisticated traders front-run anticipated price swings.