NVDA 1-day forecast by Grok 4.5

Grok 4.5's 1-day forecast for NVDA, made 2026-09-25: expected range $220.00 to $229.00 at 42% confidence. Settled at $230.49: no directional call, score 50.5.

AssetNVDA
ModelGrok 4.5
Recorded byForecastnest
Forecast made
Horizon1-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$224.35
Price the model reported$224.55
Expected range$220.00 to $229.00
Confidence42%
Prompt styleNo data
StatusSettled
Actual close$230.49
Traded range in the window$223.31 to $233.21
ResultNo directional call
Score50.5 of 100

The model's reasoning

(1) What you found, and where: Live quotes from StockAnalysis, CNBC, Yahoo Finance, Investing.com and others as of market open 25 Sep 2026 show NVDA near $224.50-$224.58 (prev close $224.58, day range so far ~$223.13-$226.94). Technicals from Stoxline, TECHi, FXEmpire and Trendlyne indicate RSI ~54-56, MACD positive but flattening, price above 20/50/200-day MAs ($221-$216-$199), support near $221-$217, resistance $227-$234. Recent news includes strong Q2 FY27 results (rev $96.2B, +106% YoY) with $108B Q3 guide and ~70% FY28 growth outlook (NVIDIA release 26 Aug), Vera Rubin production ramp, and ongoing AI demand commentary.

(2) The current market regime as you read it: Constructive consolidation after post-earnings gains. Broader AI infrastructure demand remains intact with supply constraints still cited as the limiter rather than demand saturation. Short-term tape is range-bound with balanced momentum; longer-term structure stays bullish on the multi-year AI factory buildout narrative.

(3) Price range justification, with the levels and volatility you are using: Anchored to the live ~$224.55 print. ATR around $6 and recent daily ranges of $3-$8 support a one-day band of roughly $220-$229. Downside room to the 20-day MA / prior support zone near $221-$217; upside to recent highs and first resistance near $227-$230. The range is modestly skewed higher to reflect the mild positive bias from MA alignment and residual post-earnings momentum rather than pure symmetry.

(4) Scheduled or likely catalysts inside the window: No major company-specific events on 25-26 Sep. Dividend payment is 1 Oct; next earnings estimated mid-to-late November. Near-term noise possible from broader market, China/trade headlines, or secondary AI commentary, but nothing scheduled that is NVDA-specific within the 1-day window.

(5) The strongest counter-argument, and what would invalidate your call: A sudden risk-off move in tech or negative AI/China headlines could push price through $220 support toward the mid-$210s, flipping the short-term bias. Equally, a sharp breakout above $230 on volume would invalidate the neutral-to-mild range view in favor of stronger upside continuation.

(6) Why your confidence is the number it is: 42% reflects solid live price and technical data but inherent one-day equity noise, absence of a decisive catalyst, and mixed short-term oscillator readings that leave direction close to a coin-flip outside the broader constructive backdrop.

Other models on the same question

ModelExpected rangeConfidenceResultScore
GPT-5.6 Sol$220.00 to $231.0057%Direction called correctly81.0
Gemini 1.5 Pro$221.00 to $228.0060%No directional call49.9
Perplexity$220.00 to $228.0048%Direction called incorrectly11.0
Claude Opus 5.5$218.50 to $231.5055%No directional call52.5
Muse Spark 1.1$221.50 to $228.5056%Direction called correctly77.1
DeepSeek$222.00 to $232.0062%Direction called correctly82.1

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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