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Source: backtest.substack.com​

SPY Short-Term Forecast and Trading Outlook for Monday, Oct 27, 2025 - And a Forecast Tweak

10/26/2025

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Starting with this evenings update, I’m updating the forecast format. Previously, I included projections for 1, 2, 3, 5, and 10 days ahead. From now on, I’ll focus only on the 2, 3, and 5 day forecasts.
Why Drop the 1 Day Forecast? The 1 day forecast was causing confusion for a few reasons:
  • It was based on the next day’s open, but morning gaps often distorted expectations. Sometimes the market moves ahead of the signal.
  • A bearish 1 day forecast made some readers overly pessimistic. Even with a 53 percent historical win rate, a couple of bad matches can skew perception.
In short, the 1 day signal was too noisy and easy to misinterpret. It’s better treated as a coin toss than a reliable edge.
Why Focus on 2 to 5 Days? These timeframes are more useful for short term swing traders. They’re less sensitive to intraday noise and better reflect how the algorithm compares current conditions to similar historical regimes.
A slightly negative forecast doesn’t mean the market will drop. It just means the expected return is below average. Most regimes are biased to the upside, so context matters.
Why Remove the 10 Day Forecast? The 10 day signal tends to reflect broader market conditions and doesn’t respond much to daily changes (typically extremes in bearish or bullish markets). It’s interesting, but not very actionable for short term decisions.
What to Expect Going Forward
  • Nightly updates will include only the 2, 3, and 5 day forecasts.
  • If I spot something notable in the 1 day or 10 day runs, I’ll mention it in the evening blog update.
  • Since this signal publication is still new and the audience is small, I trust most readers can adapt easily.
You can always check the latest signals on the signals page.
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    Dave Johnson

    I'm Dave Johnson, a former investment advisor and quantitative system developer with over 30 years of experience building and trading mechanical systems. These days I focus on rules-based research, honest backtests, and sharing what the data actually shows.

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