MSFT 1-day forecast by GPT-5.6 Sol
GPT-5.6 Sol's 1-day forecast for MSFT, made 2026-09-24: expected range $484.00 to $501.00 at 62% confidence. Settled at $515.94: direction called incorrectly, score 11.5.
| Asset | MSFT |
|---|---|
| Model | GPT-5.6 Sol |
| 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 | $494.83 |
| Price the model reported | $493.89 |
| Expected range | $484.00 to $501.00 |
| Confidence | 62% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $515.94 |
| Traded range in the window | $494.71 to $519.40 |
| Result | Direction called incorrectly |
| Score | 11.5 of 100 |
The model's reasoning
(1) What I found: Yahoo Finance showed MSFT at approximately $493.89 on September 24, down from the prior $500.59 close, while Finviz showed $496.11 and FXEmpire showed $496.25 earlier in the session. I use the newer Yahoo Finance reading as the price anchor because it was retrieved after the 2026-09-24 17:45 UTC forecast-window start. Yahoo Finance: https://finance.yahoo.com/quote/MSFT/ ; Finviz: https://finviz.com/stock?t=MSFT ; FXEmpire: https://www.fxempire.com/stocks/msft/technical-analysis :chatgpt-content-reference{index=
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| Muse Spark 1.1 | $488.00 to $501.50 | 54% | Direction called incorrectly | 10.9 |
| Gemini 3 Pro | $488.00 to $504.00 | 58% | Direction called correctly | 73.4 |
| Grok 4.5 | $489.00 to $502.00 | 42% | No directional call | 44.7 |
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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