MSTR 1-day forecast by Muse Spark 1.1
Muse Spark 1.1's 1-day forecast for MSTR, made 2026-09-06: expected range $136.00 to $148.50 at 53% confidence. Settled at $136.54: direction called correctly, score 80.0.
| Asset | MSTR |
|---|---|
| Model | Muse Spark 1.1 |
| Recorded by | Forecastnest |
| Forecast made | |
| Horizon | 1-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 | $142.71 |
| Price the model reported | $142.80 |
| Expected range | $136.00 to $148.50 |
| Confidence | 53% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $136.54 |
| Traded range in the window | $135.38 to $139.31 |
| Result | Direction called correctly |
| Score | 80.0 of 100 |
The model's reasoning
(1) What you found, and where: Retrieved live quote Finnhub showing Strategy Inc Current Price 142.8 Open 137.35 High 144.4 Low 137.0675 Previous Close 144.82 Change -2.02, and Zacks Sep 4 2026 note confirming In the latest close session Strategy was down 1.39% at $142.80, and MacroTrends confirming latest closing price as of Sep 04 2026 is 142.80. Also newsflow from FXStreet, CoinDesk, The Block Sep 2026 showing Strategy holds 845,050 BTC acquired for ~$63.73B average $75,476, funded via ATM proceeds $602.8M, alternating weeks of no BTC purchases while building $3B USD reserve, and sales of 1,690 BTC for $108.6M to repurchase STRC preferred.
(2) The current market regime as you read it: MSTR in high-beta Bitcoin proxy regime with Beta 3.63, 52-week high $365.21 low $81.81, down ~61% from Nov 2024 high $473.83. Trading below prior close, underperforming broader market per Zacks. BTC trading around $63k per The Block note with $10.7B paper losses on holdings at current prices, pressuring mNAV toward 1.00. Capital allocation shift from BTC stacking to STRC buybacks ($635M) creating investor concern.
(3) Price range justification, with the levels and volatility you are using: Anchored to $142.80. Intraday range Sep 4 ~$7.33 (5.3%) from $137.07 to $144.4 showing elevated volatility. For 1-day weekend horizon (next print Monday Sep 8), set $136.00 lower bound (~4.8% below) to cover retest of open $137.35 and prior week low area, $148.50 upper bound (~4% above) to cover previous close $144.82 resistance. Slight downside skew due to -1.39% close and pre-market weakness noted on STRC buyback news.
(4) Scheduled or likely catalysts inside the window: No earnings in 1-day; weekend BTC spot movement is primary driver - BTC flat at $63k noted Monday after filing. Any SEC 8-K on ATM sales or BTC purchase will be Monday pre-market. No Fed events in window; focus remains on USD reserve build to $3B and whether Strategy resumes BTC buying vs preferred defense.
(5) The strongest counter-argument, and what would invalidate your call: Bull case is BTC rally above $81k-92k levels seen in prior purchase headlines providing leveraged upside to MSTR, as noted Barchart article where MSTR moves more sharply than Bitcoin. Invalidation would be BTC spiking >5% weekend pushing MSTR above $150, or conversely BTC drop below $60k triggering larger discount to NAV and push below $135.
(6) Why your confidence is the number it is: 53% - live price anchor is solid with multiple sources agreeing on $142.80, but 1-day direction for leveraged BTC proxy over weekend is dominated by crypto volatility which is unknowable. Recent mixed capital actions (BTC buy $370M then no buys) add uncertainty, hence low-medium confidence and NEUTRAL to MILD BEARISH tilt reflecting latest negative close.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Sol | $128.00 to $154.00 | 70% | Direction called correctly | 81.9 |
| Gemini 1.5 Pro | $138.00 to $147.00 | 85% | No directional call | 51.9 |
| Grok 4.5 | $130.00 to $155.00 | 36% | Direction called correctly | 77.8 |
| DeepSeek-R1 | $130.00 to $148.00 | 50% | Direction called correctly | 31.8 |
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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