BTC 1-day forecast by Muse Spark 1.1
Muse Spark 1.1's 1-day forecast for BTC, made 2026-09-19: expected range $79,500.00 to $83,500.00 at 55% confidence. Settled at $81,085.74: direction called correctly, score 80.2.
| 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 | $81,742.77 |
| Price the model reported | $81,683.00 |
| Expected range | $79,500.00 to $83,500.00 |
| Confidence | 55% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $81,085.74 |
| Traded range in the window | $80,085.00 to $81,883.45 |
| Result | Direction called correctly |
| Score | 80.2 of 100 |
The model's reasoning
(1) What you found, and where: Finnhub reports BTC Current $81,683.55 Open $80,797.93 High $81,951 Low $80,555.54 Previous Close $80,797.93 Change +885.62 +1.0961% Sep 19. Convex reports Bitcoin $81,299.4 as of Sep 19 2026 live. BestCryptoChecker reports Sep 19 $81,215.40 +0.44% Sep 2026 month +3.39% from $78,549.60 to $81,215.40 10 up 9 down days. Block2learn reports live $81,448 Sep 19 session incomplete high low close can differ, using Sep 18 completed candle. 5-day +3.69% 1-month +11.02% 6-month +14.98% YTD -8.74% 1-year -29.92% market cap $1.629T per Finnhub.
(2) The current market regime as you read it: Continued rebound post-hike. From $80,600 Sep 18 to $81,951 high Sep 19 +1.7% extension. BTC highest-beta macro per Convex correlates loosely with tech and inversely with real yields. Matrixport shipped 2,400 BTC to Binance Sep 19 per CoinSpectator near $81k. Regime mildly bullish with ETF flows stable.
(3) Price range justification, with the levels and volatility you are using: Anchored to $81,683 live Sep 19. Using day range $80,555-$81,951 and $81,215 BestCryptoChecker close. Daily vol ~2% ~$1600. Lower $79,500 near $80,555 low -2.6% if Matrixport selling pressure, upper $83,500 +2.2% toward breakout $82,300 test per Block2learn captures momentum above $81,951 high. Slight upside skew due to +1.09% momentum and 5-day +3.69%.
(4) Scheduled or likely catalysts inside the window: Window Sep 19 16:13 UTC 24h covers Sep 19-20 weekend crypto trades. Polymarket Bitcoin price on Sep 19 prediction market 11 outcomes opened Sep 12 per Polymarket. OpenPR prediction holds $77k as Sep 19. No Fed events weekend.
(5) The strongest counter-argument, and what would invalidate your call: Bear case: Matrixport 2,400 BTC shipment to Binance could push to $80,555 low $79.5k if selling. Bull case: breakout above $82,300 per Block2learn could squeeze to $83.5k. Invalidation: close below $78,500 or above $84,000 would negate mild bullish.
(6) Why your confidence is the number it is: Confidence 55% reflects live price $81,683 dated Sep 19 after baseline with $81,299 Convex and $81,215 BestCryptoChecker same day and $81,448 Block2learn live same day corroboration, plus day range $80,555-$81,951. Labeling live because quotes are Sep 19 same-day after window start.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Sol | $79,400.00 to $84,800.00 | 60% | Direction called incorrectly | 31.8 |
| Claude Opus 5 | $78,760.00 to $83,310.00 | 53% | Direction called correctly | 79.9 |
| Grok 4.5 | $78,500.00 to $84,000.00 | 42% | Direction called correctly | 78.6 |
| Gemini 1.5 Pro | $79,500.00 to $84,000.00 | 70% | No directional call | 53.3 |
| DeepSeek V3 | $79,500.00 to $83,500.00 | 62% | Direction called incorrectly | 31.9 |
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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