IONQ 1-day forecast by Grok 4.5

Grok 4.5's 1-day forecast for IONQ, made 2026-09-24: expected range $41.50 to $46.50 at 42% confidence. Settled at $46.18: no directional call, score 51.1.

AssetIONQ
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$44.01
Price the model reported$43.96
Expected range$41.50 to $46.50
Confidence42%
Prompt styleNo data
StatusSettled
Actual close$46.18
Traded range in the window$43.73 to $46.55
ResultNo directional call
Score51.1 of 100

The model's reasoning

(1) What you found, and where: Live quotes from Yahoo Finance as of ~1:09 PM EDT on 2026-09-24 show IONQ at $43.96 (up ~3.3% on the day from prior close $42.54), with day’s range $41.28-$44.60 and volume elevated near average. Stockanalysis, Motley Fool and other feeds confirm similar intraday prints around $42.5-$44. Recent catalysts from company press releases and coverage (CNBC, IBD, Motley Fool): Sep 22 demonstration of industry-first end-to-end real-time quantum error decoder running on a single CPU; Sep 23 announcement of Superion 256 QPU installation at Nvidia’s Accelerated Quantum Research Center; Sep 24 FIU Superion 256 campus deployment contract. Next earnings projected ~Nov 4 2026. ATR 14 ~$2.65, 20-day historical vol ~61%, beta ~3.3, 52-week range $25.89-$84.64.

(2) The current market regime as you read it: Short-term momentum positive after the technical breakthrough and Nvidia partnership lifted the stock from the mid-$30s earlier in September into the low-$40s, with RSI ~58 and price above 20/50-day SMAs but still well below 200-day and the prior year’s highs. High-beta quantum names remain news-driven and volatile; broader tech sentiment mixed. Intraday action shows buyers defending the low-$41 area after the open while sellers capped the mid-$44s.

(3) Price range justification, with the levels and volatility you are using: Anchored to the live $43.96 print. One-day expected move using recent ATR (~$2.65) and realized vol implies roughly ±$2-$3 around the current level under normal conditions, expanding to ±$3-$4 given event residual and high beta. Lower bound near recent intraday support and prior-day lows (~$41.50); upper bound near the post-news high zone and psychological $46-$47 resistance. Range is asymmetric slightly higher to reflect residual positive catalyst flow but not centered, acknowledging mean-reversion risk after the multi-day bounce.

(4) Scheduled or likely catalysts inside the window: No earnings or major scheduled events in the next 24 hours. Residual digestion of the error-decoder, Nvidia and FIU news plus any Quantum World Congress follow-through (conference running through Sep 26) are the main near-term drivers. Broader market risk (rates, tech sector moves) can amplify given beta >3.

(5) The strongest counter-argument, and what would invalidate your call: The stock has already priced in much of the recent good news with a multi-day rally and remains unprofitable with elevated valuation; profit-taking or a risk-off session could push it back toward the $40-$41 zone. Invalidation of neutral/mild-bullish lean would be a decisive break below $41 on rising volume or a broader market sell-off that overwhelms company-specific positives.

(6) Why your confidence is the number it is: High-frequency live price and news access support the quote and catalyst identification, but one-day direction for a high-volatility name is inherently noisy; no strong directional edge beyond residual momentum, hence mid-40s confidence.

Other models on the same question

ModelExpected rangeConfidenceResultScore
GPT-5.6 Sol$40.50 to $46.5058%Direction called incorrectly31.1
Claude Opus 5.5$40.80 to $46.6035%Direction called correctly67.3
Muse Spark 1.1$41.00 to $46.0052%Direction called incorrectly47.9
Gemini 1.5 Pro$42.50 to $46.0065%Direction called correctly81.2
DeepSeek V3$41.50 to $46.8062%Direction called correctly80.8

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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