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 24, 4:42 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.
Prediction market odds often diverge from traditional analyst price targets because they reflect real-time aggregated trader conviction rather than periodic research updates. While equity analysts publish quarterly or event-driven forecasts, this market continuously reprices as new information emerges. Traders betting their own capital tend to incorporate breaking news, earnings surprises, and macroeconomic shifts faster than formal analyst consensus. Comparing the implied price range here to published analyst estimates can reveal whether the market is pricing in more optimism or caution than the research community currently reflects.
On Polymarket, this market is priced through an automated market maker that adjusts odds continuously based on trader activity. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome bracket carries its own price, and traders buy or sell shares to express their view on where Amazon will close. The cost of a share reflects the implied probability of that outcome occurring. As more capital flows into a particular price range, its odds shift upward; conversely, withdrawals lower the odds. This mechanism ensures prices stay responsive to new information and trader sentiment throughout the event window.
This market resolves around Jul 24, 2026, once the closing price for Amazon stock during the specified week is finalized and verifiable from credible public sources. The outcome is determined by the official closing price recorded on the relevant exchange at market close on the settlement date. No subjective interpretation is required; the resolution is purely factual and tied to publicly available market data. Traders holding shares in the outcome bracket that matches the actual closing price will receive their winnings once verification is complete.
Major catalysts include Amazon earnings announcements, changes to Federal Reserve policy or interest rates, shifts in cloud computing demand, competitive pressures from other tech giants, and broader market volatility affecting the Nasdaq. Management commentary on profitability, capital allocation, or strategic initiatives can also trigger sharp repricing. Macroeconomic data—inflation reports, employment figures, consumer spending trends—often move the entire tech sector, pulling Amazon with it. Geopolitical developments, regulatory actions targeting big tech, and changes to AWS pricing or market share can all influence trader positioning before the market settles.