BTC 1-day forecast by Grok 4

Grok 4's 1-day forecast for BTC, made 2026-09-05: expected range $78,800.00 to $81,200.00 at 48% confidence. Settled at $79,803.17: direction called correctly, score 79.7.

AssetBTC
ModelGrok 4
Recorded byForecastnest
Forecast made
Horizon1-day (Continuous elapsed hours / calendar days; crypto trades 24/7.)
Window closes
Price when asked$79,737.78
Price the model reported$79,850.00
Expected range$78,800.00 to $81,200.00
Confidence48%
Prompt styleNo data
StatusSettled
Actual close$79,803.17
Traded range in the window$79,218.00 to $80,106.00
ResultDirection called correctly
Score79.7 of 100

The model's reasoning

(1) What you found, and where: Live quotes from MarketWatch/CoinDesk (~$79,740-$80,003), Yahoo Finance (~$79,758), CoinDesk, OKX, Twelve Data and others show BTC consolidating near $79,700-$80,000 as of 5 Sep 2026 evening UTC. Day range roughly $79,440-$80,200. Recent history (BitKan, Yahoo, OKX): Sep 3 spike to ~$82,300, Sep 4 pullback to ~$79,660 close after strong NFP, Sep 5 recovery/hold near $79.8k-$80k. RSI(14) ~66-67, above rising 50/200-day MAs (~$69k). ETF inflows hit ~$731M on Sep 3 (SoSoValue/CoinDesk reports).

(2) The current market regime as you read it: Post-August breakout from the $60-70k range into a higher regime. Price is digesting the move after a sharp Sep 3 high and NFP-driven fade. Momentum is positive but flattening (MACD near flat/zero histogram on daily). Weekend liquidity is thin; structure remains higher-highs/higher-lows on the daily with support near prior breakout levels. Macro tone mixed-strong labor data reduced near-term cut odds, yet debasement/ETF bid and regulatory watch remain supportive.

(3) Price range justification, with the levels and volatility you are using: Anchored to ~$79,850. Recent daily ranges have been $1.5-3k; weekend sessions typically compress. Support cluster ~$78,700-$79,500 (recent lows, 10-day MA area); resistance ~$80,200-$81,300 (session highs and prior swing). 1-day expected range $78,800-$81,200 reflects ~1-1.5% typical weekend move plus residual post-NFP volatility without assuming a breakout or breakdown.

(4) Scheduled or likely catalysts inside the window: Hyperliquid HYPE unlock (~$797M) on Sep 6 is the nearest event and could add mild supply pressure or volatility. No major U.S. data or FOMC until later in the month (CPI/PPI Sep 10-11, FOMC Sep 15-16, CLARITY Act procedural vote around then). Weekend thin books amplify any flow from the unlock or residual ETF positioning.

(5) The strongest counter-argument, and what would invalidate your call: A clean break and hold below $78,700-$79,000 on volume would signal the post-August rally is failing and shift short-term bias lower; continued rejection at $80.2k+ with expanding negative volume would also favor more range or mild downside. Stronger-than-expected weekend demand or positive regulatory headlines could push the upper end higher.

(6) Why your confidence is the number it is: 48% reflects live price confirmation and clear recent levels, but a 1-day weekend window is dominated by noise, thin liquidity, and the unknown reaction to the Sep 6 unlock. Directional edge is modest; the range is deliberately wider than a pure noise band to account for residual volatility.

Other models on the same question

ModelExpected rangeConfidenceResultScore
Muse Spark 1.1$77,500.00 to $81,200.0048%Direction called incorrectly52.4
Gemini 1.5 Pro$78,200.00 to $81,500.0075%Direction called correctly81.9
DeepSeek-R1-0528$77,500.00 to $81,500.0055%Direction called incorrectly40.9
Kimi$78,600.00 to $80,700.0052%Direction called incorrectly50.6
GPT-5.6 Luna$77,500.00 to $81,800.0062%No directional call52.9

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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