Crypto markets set Nvidia stock price for end of July

Prediction market traders are betting that Nvidia (NASDAQ: NVDA) will finish July 2026 near its current trading range, with the highest-probability outcome placing the stock below $192 by month-end. Data from Polymarket shows traders have assigned an 86% probability that Nvidia will trade below $192 at some point during July. The market also places a 60% probability on NVDA reaching $208, while the chances of a move above $216 fall to 32%.

The pricing suggests traders expect Nvidia stock to remain range-bound through the remainder of the month despite continued optimism surrounding the company’s long-term artificial intelligence growth story. According to market probabilities, a move toward $208 is the most likely bullish target for Nvidia in July. Beyond that level, probabilities decline sharply, with traders assigning a 22% chance of reaching $224, a 12% chance of hitting $232, and just a 6% chance of touching $240.

NVDA stock price prediction. Source: Polymarket The likelihood of Nvidia reaching $248 before the end of July stands at only 2%, indicating that prediction market participants see limited chances of a rapid rally back toward the stock’s recent highs. On the downside, traders assign a 59% probability that Nvidia falls to $184 during the month and a 26% chance of dropping to $176.

The probability of a decline to $160 stands at 8%. Taken together, the market implies that Nvidia is likely to remain within a broad range of $184 to $208 through July, with a modest bias toward lower levels. As of press time, NVDA stock was trading at about $194, down 1.

3% from the previous session’s close. On a weekly basis, however, the stock remained up roughly 0.9%.

NVDA one-week stock price chart. Source: Finbold The recent weakness has come amid profit-taking across large-cap technology stocks and broader sector rotation away from some of the market’s biggest AI winners. Nvidia stock fundamentals Despite the near-term volatility, Nvidia’s fundamentals remain exceptionall