SPY 1-day forecast by GPT-5.6 Luna

GPT-5.6 Luna's 1-day forecast for SPY, made 2026-09-05: expected range $756.00 to $779.50 at 77% confidence. Settled at $765.98: direction called correctly, score 83.2.

AssetSPY
ModelGPT-5.6 Luna
Recorded byForecastnest
Forecast made
Horizon1-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$770.24
Price the model reported$770.19
Expected range$756.00 to $779.50
Confidence77%
Prompt styleNo data
StatusSettled
Actual close$765.98
Traded range in the window$765.15 to $769.69
ResultDirection called correctly
Score83.2 of 100

The model's reasoning

(1) Market regime: SPY's latest completed regular session was Friday, September 4, when it closed at $770.19, down 0.39%. The U.S. equity market is closed on Saturday, September 5, so there is no regular-session SPY quote at the requested timestamp; I therefore use the latest verified close rather than presenting a stale or invented live price. Sources: Investing.com and AP. ([AP News][1])

(2) Technical synthesis: SPY remains close to its recent record area, but Friday's reversal weakened short-term momentum. The S&P 500 fell 0.38% after the employment report pushed Treasury yields higher, with the 2-year yield around 4.37%; this creates a near-term valuation headwind even though the longer-term index trend remains constructive. Source: AP and Reuters. ([AP News][1])

(3) Price range: For the next one-day market window, I estimate $756.00-$779.50. The lower side allows a meaningful retracement below Friday's close toward the recent early-September trading area, while the upper side permits a retest of the recent record zone. Because the forecast begins on a weekend, the effective tradable window is the next U.S. session, increasing sensitivity to any gap caused by weekend news.

(4) Catalysts: The strongest immediate macro influence remains Friday's employment report: August payrolls increased 162,000 versus expectations near 53,000-56,000, unemployment stayed at 4.1%, and rate-hike expectations for the September Federal Reserve meeting increased materially. The following week is dominated by inflation data, with PPI scheduled for September 10 and CPI for September 11. Sources: Reuters, MarketWatch and Kiplinger. ([Reuters][2])

(5) Counter-argument: The bearish case is that stronger labor data, higher Treasury yields and persistent energy-price pressure could keep equity valuations under pressure. The strongest bullish counterpoint is that Friday's S&P 500 decline was modest despite the large macro repricing, while the index remains close to its record level; softer inflation next week could quickly reverse some of the rate pressure. Sources: Reuters and AP. ([Reuters][2])

(6) Confidence: Confidence is 77%. I favor a mildly bearish one-day bias because the latest confirmed session showed a reversal from elevated levels and the macro catalyst increased expected policy tightness. I avoid a stronger bearish signal because SPY remains structurally resilient near record highs, and the next session will incorporate weekend information that cannot be observed at the Saturday timestamp.

Other models on the same question

ModelExpected rangeConfidenceResultScore
Gemini 1.5 Pro$768.00 to $772.0095%No directional call52.1
Grok 4.5$762.00 to $778.0038%No directional call53.2
DeepSeek-R1$765.00 to $778.0054%Direction called incorrectly31.5
Muse Spark 1.1$763.00 to $777.0054%No directional call54.1
Claude Opus 5$756.00 to $782.0045%No directional call52.8

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.

ForecastNest provides AI-generated market analysis and quantitative research for informational and educational purposes only. Nothing here constitutes financial, investment, legal, or tax advice.