TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 18, 4:38 PM EST
Polymarket
This market will resolve according to the Close price for Amazon.com, Inc. (AMZN) 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 Amazon.com, Inc. (AMZN) available at https://pythdata.app/explore/Equity.US.AMZN%2FUSD.
This market will resolve according to the Close price for Amazon.com, Inc. (AMZN) 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 Amazon.com, Inc. (AMZN) available at https://pythdata.app/explore/Equity.US.AMZN%2FUSD.
Currently, analysts have a wide range of price targets for Amazon, with estimates varying based on factors like upcoming earnings reports and broader economic conditions. This market provides a different perspective, reflecting the collective wisdom of traders who are putting their capital at risk. While analyst forecasts are based on models and research, this market represents a real-time assessment of probabilities based on available information and market sentiment. Discrepancies between this market and analyst expectations can indicate areas where traders believe analysts are over- or underestimating Amazon’s potential performance.
On Polymarket, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing different possible outcomes for the Amazon stock closing price. The price of each contract reflects the current probability of that outcome occurring, 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 an outcome is likely, the higher the price of its corresponding contract will be. This dynamic pricing ensures that the market reflects the latest information and collective intelligence of participants, creating a forward-looking assessment of Amazon’s stock performance.
This market resolves around Sep 18, 2026, with the outcome confirmed once the official closing price of Amazon stock for the week of September 14th is verifiable from credible public reporting. The market will settle to the contract corresponding to the actual closing price range of Amazon (AMZN) on the final day of trading during that week. The resolution will be based on widely recognized financial data sources, ensuring a transparent and objective determination of the outcome for this market.
Several factors could significantly impact this market before Sep 18, 2026. Major catalysts include Amazon’s performance during the week, any unexpected news regarding the company (such as product announcements or regulatory changes), and broader macroeconomic trends affecting the technology sector. Earnings reports from key competitors, shifts in consumer spending, and overall market sentiment could also influence trader behavior and shift the probabilities reflected in this market. Unexpected economic data releases or geopolitical events could also introduce volatility and move the market.