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: Jul 31, 4:33 PM EST
Polymarket
This event group tracks whether Amazon (AMZN) stock will close above various price thresholds at the end of July 2026. Polymarket offers 15 binary markets at $10 increments from $170–$290, while Limitless offers a weekly directional comparison (July 24 vs. July 17). The core question is unified: will AMZN reach or exceed a specified price by month-end?
This market will resolve to "Yes" if the official closing price for Amazon.com, Inc. (AMZN) on the final trading day of July 2026 is higher than the listed price. Otherwise, this market will resolve to "No". If the final trading day of the month is shortened (for example, due to a market-holiday schedule), the official closing price published for that shortened session will still be used for resolution. If no official closing price is published for that session (for example, due to a trading halt into the close, system issue, or other disruption), the market will use the last valid on-exchange trade price of the regular session as the effective closing price. The resolution source for this market is Yahoo Finance — specifically, the Amazon.com, Inc. (AMZN) "Close" prices available at https://finance.yahoo.com/quote/AMZN/history, published under "Historical Prices." In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Yahoo Finance.
This market will resolve to "Up" if the price for Amazon (Pyth AMZN/USD) on July 24, 2026 is strictly higher than the price for Amazon (Pyth AMZN/USD) on July 17, 2026. Otherwise, this market will resolve to "Down". The price for Amazon (Pyth AMZN/USD) captured on July 17, 2026 was $247.32024. 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 24, 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 market prices often diverge from traditional Wall Street analyst targets because they reflect real-money incentives and continuous price discovery rather than periodic research updates. On this market, traders are directly rewarded for accuracy, which can make odds more responsive to breaking news and sentiment shifts than consensus estimates. Analyst forecasts tend to be stickier and revised less frequently, while prediction markets update in real time as new information emerges. Comparing the two can reveal where the crowd sees asymmetric risk or where consensus may be lagging market-moving developments.
Polymarket and Limitless may price this market differently due to variations in liquidity, user base composition, and fee structures. 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 attracts traders with distinct risk appetites and time horizons, leading to temporary arbitrage opportunities. Differences in order-book depth and trading volume can also cause one venue to move faster than the other in response to news. Over time, large traders often exploit these spreads, but gaps may persist if transaction costs or platform friction outweigh the profit opportunity.
Amazon earnings reports, guidance revisions, and macroeconomic data—especially interest rate decisions and tech sector momentum—are primary catalysts for this market. Competitive pressures in cloud computing, advertising, and e-commerce can shift trader sentiment on Amazon's near-term trajectory. Broader market volatility, changes in Fed policy, and sector rotation between growth and value stocks also influence price action. Individual company news, such as executive changes or strategic announcements, may trigger sharp repricing as traders reassess the probability of hitting the target by month-end.