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 24, 4:38 PM EST
Polymarket
This market will resolve according to the Close price for Microsoft Corporation (MSFT) on the final day of trading of the week specified in the title (normally Friday). If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket. Closing prices will be used exactly as published by Pyth, without rounding. 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 Microsoft Corporation (MSFT) available at https://pythdata.app/explore/Equity.US.MSFT%2FUSD.
This market will resolve according to the Close price for Microsoft Corporation (MSFT) on the final day of trading of the week specified in the title (normally Friday). If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket. Closing prices will be used exactly as published by Pyth, without rounding. 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 Microsoft Corporation (MSFT) available at https://pythdata.app/explore/Equity.US.MSFT%2FUSD.
Prediction market odds reflect real-money bets from traders worldwide, often capturing forward-looking sentiment faster than traditional analyst consensus. While Wall Street equity analysts publish price targets based on fundamental research and models, this market aggregates the collective judgment of participants who have financial skin in the game. Analyst forecasts tend to update quarterly or after major events, whereas prediction markets adjust continuously. Comparing the two can reveal whether the crowd expects Microsoft to outperform or underperform published analyst views, making this market a useful cross-check against institutional research.
On Polymarket, this market is priced through an automated market maker that converts trader activity into real-time odds. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Shares representing each outcome trade against a liquidity pool, so the price you see reflects the current balance of buy and sell orders. As more traders bet on one outcome, the price of that share rises and the opposing outcome falls, creating a self-correcting mechanism. This continuous repricing ensures the market stays efficient and responsive to new information right up until resolution.
This market resolves around Jul 24, 2026, once the trading week concludes and Microsoft's official closing price is confirmed. The outcome is determined by where MSFT actually closes on the final trading day of that week, verified against credible public financial data. Traders holding shares in the correct outcome receive their payout automatically. Until that moment, positions remain open and can be traded, allowing participants to adjust their exposure as new information emerges.
Microsoft's stock price is sensitive to earnings surprises, guidance revisions, and macroeconomic shifts affecting tech valuations. Major catalysts include product announcements, regulatory developments, competitive threats, or broad market swings driven by interest rate expectations and inflation data. Sector-specific news—such as AI adoption trends, cloud computing demand, or enterprise software spending—can also shift trader positioning. Intraweek volatility often reflects overnight international market moves, Fed commentary, or unexpected company disclosures, all of which could push this market's odds higher or lower before the week closes.