TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 9, 4:00 PM EST
Polymarket
This market will resolve to "Yes" if the Close price for NVIDIA (NVDA) on July 9, 2026 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 NVIDIA (NVDA) does not trade at all during the regular session, 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 specified 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. If the listed date is not a trading day under the applicable trading-hours schedule as listed on Pyth, this market will resolve 50-50. 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 available at https://pythdata.app/explore/Equity.US.NVDA%2FUSD.
This market will resolve to "Yes" if the Close price for NVIDIA (NVDA) on July 9, 2026 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 NVIDIA (NVDA) does not trade at all during the regular session, 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 specified 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. If the listed date is not a trading day under the applicable trading-hours schedule as listed on Pyth, this market will resolve 50-50. 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 available at https://pythdata.app/explore/Equity.US.NVDA%2FUSD.
Prediction market odds often diverge from traditional analyst price targets because they reflect real-money incentives and crowd wisdom rather than individual research calls. While Wall Street analysts may publish a consensus target for NVDA based on fundamental models, this market prices the probability of a discrete outcome—a close above a set level on a specific date. Traders here face direct financial consequences for accuracy, which can make odds more responsive to breaking news and sentiment shifts. Comparing the two approaches offers complementary perspectives: analyst forecasts provide detailed reasoning, while prediction markets reveal what informed participants actually believe will occur.
On Polymarket, traders set the odds by buying and selling shares that pay out if NVDA closes above the target price on the specified date. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each share costs between $0 and $1, and the current market price reflects the collective probability assigned by active participants. When you buy a share at, say, $0.65, you're betting the outcome will occur; if it does, you receive $1. The spread between bid and ask prices tightens as volume increases, making the market more efficient and easier to trade in and out of.
This market resolves around Jul 9, 2026, once the trading day concludes and NVDA's closing price is finalized. The outcome is confirmed against credible public financial data sources that report the stock's official close. All shares are then settled based on whether the closing price met the threshold specified in the market. Traders should monitor for any corporate actions or market halts that might affect the final price, though such events are rare and typically disclosed well in advance.
Earnings announcements, product launches, macroeconomic data, and shifts in AI sentiment can all drive NVDA's stock price and reshape trader expectations in this market. Geopolitical developments affecting semiconductor supply chains, changes in Fed policy, or major customer wins or losses may trigger sharp repricing. Broader tech sector momentum, competitive threats, and analyst upgrades or downgrades also influence how traders position themselves. Watch for insider transactions, guidance revisions, and industry conference announcements—any catalyst that alters the probability of the stock closing above the target will be reflected in real-time odds.