BTC 1-day forecast by Muse Spark 1.1
Muse Spark 1.1's 1-day forecast for BTC, made 2026-10-02: expected range $84,800.00 to $88,200.00 at 58% confidence. Settled at $84,832.11: no directional call, score 53.2.
| Asset | BTC |
|---|---|
| Model | Muse Spark 1.1 |
| Recorded by | Forecastnest |
| Forecast made | |
| Horizon | 1-day (Continuous elapsed hours / calendar days; crypto trades 24/7.) |
| Window closes | |
| Price when asked | $86,050.47 |
| Price the model reported | $86,520.00 |
| Expected range | $84,800.00 to $88,200.00 |
| Confidence | 58% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $84,832.11 |
| Traded range in the window | $83,852.30 to $86,050.47 |
| Result | No directional call |
| Score | 53.2 of 100 |
The model's reasoning
(1) What you found, and where: Bitcoin trading $86,521.8 on Oct 2 per Convex live market data, $86,627 per CoinJuice Oct 2 report, $86,004 +2.04% 24h per CoinCodex Oct 02 06:00 UTC, and range $83,128-$86,866 over trailing 24h per Alpaca BTC/USD 07:30 UTC source TheAgentTimes. Citi raised 12-month target citing returning ETF money, and ETF inflows topped $100M in last session per TheAgentTimes.
(2) The current market regime as you read it: Short-term breakout attempt after week of failed $85k tests. Price now sits 6.05% above 20-day average and 0.76% below Sep 21 high $87,291 per CoinJuice, indicating range-top test. Dominance rose 0.91% to 59.75% showing BTC leading. Macro tailwind from easing 10-year yield to 5.24% on Oct 1 supported risk.
(3) Price range justification, with the levels and volatility you are using: Anchored at $86,520 live quote. 24h realized range ~$3,738 and recent rejection at $86,800 per Crypto Daily Oct 2. Using $1,700 below as support cluster near $84,800 which aligns with Rainbow Chart dead band $84,124 and 20-day mean, and $1,680 above to $88,200 as extension above Sep 21 high. Volatility ~3% daily, so 1-day expected move ~2%.
(4) Scheduled or likely catalysts inside the window: No BTC halving or major protocol event inside 1 day. Macro catalyst is US September jobs report due Oct 2 08:30 ET flagged in market wrap Oct 1 as next major catalyst for yields. ETF flow data due late Oct 2 is key after $100M+ inflow. No Fed decision inside window.
(5) The strongest counter-argument, and what would invalidate your call: Rejection wick at $86,800 followed by -0.07% 1h slip per Alpaca data suggests bulls failing at range top for third time. If yields reverse higher on strong payrolls or ETF inflows reverse, BTC could retest $83,100 low of prior day. Close below $84,500 would invalidate mild bullish bias and turn to neutral/bearish.
(6) Why your confidence is the number it is: Confidence 58% reflects live price confirmation from 4 sources on same day but conflicting 1h momentum (slightly negative) vs 24h positive, and macro dependence on jobs report outside crypto. Direction over 1 day is noisy near range highs, so range is wide relative to signal strength.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Sol | $83,800.00 to $89,200.00 | 66% | Direction called incorrectly | 30.9 |
| Gemini 3 Pro | $84,500.00 to $87,200.00 | 62% | Direction called correctly | 81.2 |
| Perplexity | $83,500.00 to $88,500.00 | 56% | Direction called correctly | 79.9 |
| Grok 4.5 | $84,200.00 to $88,800.00 | 48% | No directional call | 52.3 |
| Claude Opus 5.5 | $83,600.00 to $88,700.00 | 55% | Direction called incorrectly | 30.8 |
| DeepSeek | $84,800.00 to $88,800.00 | 55% | Direction called incorrectly | 30.5 |
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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