NVDA 1-day forecast by Perplexity
Perplexity's 1-day forecast for NVDA, made 2026-09-30: expected range $225.00 to $235.00 at 58% confidence. Settled at $230.03: direction called correctly, score 80.4.
| Asset | NVDA |
|---|---|
| Model | Perplexity |
| Recorded by | Forecastnest |
| Forecast made | |
| Horizon | 1-day (Equity / ETF 1D: the stored target below is authoritative; it may be a session close or an intraday instant.) |
| Window closes | |
| Price when asked | $230.47 |
| Price the model reported | $230.42 |
| Expected range | $225.00 to $235.00 |
| Confidence | 58% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $230.03 |
| Traded range in the window | $228.19 to $231.91 |
| Result | Direction called correctly |
| Score | 80.4 of 100 |
The model's reasoning
(1) What I found: NVIDIA was quoted at $230.42 at 11:18:02 a.m. EDT on September 30, 2026, up $3.21, or 1.41%, from the prior close of $227.21. The reported session range was approximately $227.20-$231.43, making $230.42 the closest available live price to the requested window start.
(2) Market regime: The immediate regime is constructive because NVDA is rebounding from the prior session's $227.21 close and trading near the upper part of the day's range. The broader backdrop remains favorable for AI infrastructure: NVIDIA received authorization for an additional $150 billion share repurchase, bringing total remaining authorization to approximately $235 billion through fiscal 2028, according to MarketBeat's September 30 report. However, the stock is close to its reported 52-week high of $236.54, so overhead resistance and profit-taking risk are material.
(3) Price range: I estimate a one-day range of $225-$235. The lower bound allows for a retracement toward the prior close and the September 29 intraday low near $227.03, with additional room for volatility around a high-beta semiconductor name. The upper bound is just below the reported 52-week high near $236.54 and the current session high near $231.43, allowing continuation without assuming an immediate breakout.
(4) Catalysts: No company earnings release was identified inside this one-day window. NVIDIA's most recent fiscal Q2 FY27 results were scheduled for August 26, 2026, while the next earnings date shown by Yahoo Finance is November 17, 2026. Near-term price sensitivity is therefore more likely to come from AI-capex headlines, U.S. policy developments and competitive news, including reports that DeepSeek partnered with Huawei on chip-programming tools and that NVIDIA expanded its buyback authorization.
(5) Counter-argument: The principal bearish risk is that the rebound is driven by positioning and buyback sentiment rather than fresh earnings information. Reuters-reported coverage cited a DeepSeek-Huawei collaboration that could reduce reliance on NVIDIA's software ecosystem, while technical commentary identified potential resistance around $231 and $234.75. A sustained move below roughly $227, particularly if accompanied by renewed semiconductor weakness, would invalidate the immediate bullish read.
(6) Confidence: Confidence is 58% because the live quote, positive session momentum and corporate buyback news lean bullish, but the forecast horizon is only one trading day and NVDA is near a major recent high. The lack of an earnings catalyst inside the window and the competitive China-related headline risk argue for mild rather than strong directional signals.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| Muse Spark 1.1 | $227.50 to $234.80 | 58% | Direction called incorrectly | 31.0 |
| Gemini 1.5 Pro | $227.00 to $235.00 | 75% | Direction called incorrectly | 31.0 |
| Claude Sonnet 5.5 | $221.00 to $233.00 | 40% | No directional call | 34.5 |
| Grok 4.5 | $226.50 to $235.00 | 42% | No directional call | 52.6 |
| DeepSeek V3 | $224.00 to $232.00 | 60% | Direction called incorrectly | 30.7 |
| GPT-6 | $225.50 to $237.00 | 55% | Direction called incorrectly | 42.0 |
How this forecast is measured
Sends only the baseline price and the output format; your AI researches the asset itself. Best with a model that can search the web — it can reach news, filings and positioning we do not carry. Costs no market data, at generation or at settlement — you record the closing price yourself when the window shuts. The monthly allowance is what a membership buys, not a data bill.
Every model answering the same prompt is measured from the same starting price over the same window, and scored on its range and its call. How scoring works · All shared research.
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