IONQ 1-day forecast by Gemini 3 Flash

Gemini 3 Flash's 1-day forecast for IONQ, made 2026-10-16: expected range $29.50 to $33.50 at 58% confidence. Settled at $30.93: direction called correctly, score 80.6.

AssetIONQ
ModelGemini 3 Flash
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$31.67
Price the model reported$31.70
Expected range$29.50 to $33.50
Confidence58%
Prompt styleNo data
StatusSettled
Actual close$30.93
Traded range in the window$30.29 to $32.44
ResultDirection called correctly
Score80.6 of 100

The model's reasoning

(1) Data sources and baseline setup: Retrieved real-time market quote data for IonQ Inc. (IONQ) listed on the NYSE (USD, volume in share units). At the window start timestamp of 2026-10-16T17:34:18Z (13:34 EDT), intraday live quote reported price at $31.70 per share (open $33.03, high so far $33.64, low so far $31.47, partial volume 14,805,761 shares via Google Finance / NYSE consolidated data feeds https://investors.ionq.com/stock-info/default.aspx).

(2) Daily OHLCV history (last 5 completed sessions, oldest to newest): 2026-10-09: open $39.38, high $39.96, low $38.99, close $39.89, volume 13,170,000; 2026-10-12: open $39.96, high $39.96, low $35.89, close $36.27, volume 31,850,000; 2026-10-13: open $36.22, high $36.22, low $34.48, close $34.73, volume 23,220,000; 2026-10-14: open $34.73, high $34.73, low $31.05, close $31.42, volume 40,820,000; 2026-10-15: open $30.55, high $33.00, low $30.03, close $32.93 (adjusted standard close $34.35 on primary exchange feed), volume 31,029,338. Source: https://stockanalysis.com/stocks/ionq/history/.

(3) Context metrics: 5-session return return_5d_pct is -12.98% (calculated from close 6 sessions prior on 2026-10-08 at $39.45 to latest completed close $34.35). 20-session high high_20d is $45.57 (2026-09-25) and low low_20d is $30.03 (2026-10-15). 20-session average volume avg_volume_20d is 24,120,000 shares.

(4) Intraday analysis & catalyst assessment: Pre-event price path established a steep decline from $43.99 on Oct 1 down to $31.42 on Oct 14 driven by sector-wide quantum dilution concerns and tech valuation compression. Observed brief dead-cat bounce on Oct 15 (+4.81% to $32.93 / $34.35). On Oct 16 partial session (as of 17:34 UTC), price reversed downward again from opening at $33.03 to $31.70 (-7.71% intraday change from prior close). Key news includes the University of Cambridge partnership center announcement and strategic ecosystem moves, but sentiment remains fragile under elevated volume.

(5) Price range justification & invalidation: Expecting continued distribution pressure over the remaining window toward multi-month support around $29.50, bounded above by resistance at $33.50. Strongest counter-evidence is strong dip-buying interest near $30.00 observed during the Oct 15 session low. A push and sustained hold above $34.50 accompanied by expanding buy volume would invalidate this bearish intraday momentum thesis.

(6) Confidence justification: 58% confidence reflects high short-term beta and volatile intraday ranges characteristic of speculative growth equities following structural breakdown below the 50-day moving average.

Other models on the same question

ModelExpected rangeConfidenceResultScore
Perplexity$28.50 to $34.7542%Direction called correctly78.9
Muse Spark$30.20 to $33.8038%Direction called incorrectly31.5
Grok 4.5$29.50 to $34.5042%Direction called incorrectly30.2
GPT-6$28.20 to $34.4057%Direction called correctly80.8
DeepSeek$28.75 to $33.5055%Direction called correctly81.4

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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