TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 17, 4:00 PM EST
Polymarket
This event group tracks whether Amazon (AMZN) stock will close above various price thresholds ($215–$275) on Friday, July 17, 2026, the final trading day of the week of July 13, 2026. Markets compare the closing price on that date against specified strike prices to determine binary Yes/No outcomes.
This market will resolve to "Yes" if the Close price for Amazon.com, Inc. (AMZN) 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 Amazon.com, Inc. (AMZN) 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 Amazon.com, Inc. (AMZN) available at https://pythdata.app/explore/Equity.US.AMZN%2FUSD.
This market will resolve to "Up" if the price for Amazon (Pyth AMZN/USD) on July 17, 2026 is strictly higher than the price for Amazon (Pyth AMZN/USD) on July 10, 2026. Otherwise, this market will resolve to "Down". The price for Amazon (Pyth AMZN/USD) captured on July 10, 2026 was $245.27600. Resolution source: Pyth AMZN/USD price feed. Other exchanges, spot markets, and oracles will not be used. For example, a weekly Friday market would ordinarily compare that Friday's price with the previous Friday's price, unless that previous Friday was a market holiday. In that case, it would compare against Thursday's price, or the next most recent trading day. If Amazon (AMZN) does not trade at all during the regular session on July 17, 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 AMZN 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 AMZN during the relevant time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.
Prediction markets and analyst price targets operate on different timescales and incentive structures. Analysts typically publish longer-term valuations with quarterly updates, while this market prices a single-week outcome with real-time feedback from active traders. Prediction markets often incorporate forward-looking sentiment faster than consensus revisions, since participants risk capital directly. However, analyst reports may include deeper fundamental research and industry context. Comparing the two reveals whether the market is pricing in near-term catalysts—earnings, macroeconomic data, or sector news—that analysts have not yet fully reflected in their targets.
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 operates its own order book, fee structure, and user base, creating natural price variation. Polymarket and Limitless may attract different trader demographics—some favor one venue for lower fees, others for deeper liquidity or interface design. Market-making incentives, promotional activity, and platform-specific risk models also influence pricing. Additionally, slight differences in how each venue frames the outcome or handles edge cases can cause odds to diverge by a few percentage points. Arbitrage traders typically narrow these gaps, but temporary spreads persist during low-volume periods or rapid news flow.
Amazon earnings announcements, cloud revenue guidance, or AWS performance updates typically drive sharp repricing. Broader tech sector moves—Fed policy shifts, interest rate expectations, or competitor news—also influence AMZN positioning. Macroeconomic data on inflation, employment, or consumer spending can shift risk appetite toward or away from mega-cap growth stocks. Short-term catalysts like insider trading disclosures, regulatory developments, or analyst rating changes may trigger volatility. Real-time price momentum and options expiry dynamics can amplify intraweek swings. Traders monitor these signals continuously, adjusting odds to reflect new information and shifting conviction.