The scan aggregate boils the most recent full S&P 500 scan into one bullish-versus-bearish tilt. For each stock the model produces a chance of a gain — its estimated probability the price will be higher over the forecast horizon — and the aggregate summarises that whole distribution into a single number.
Example (illustrative): suppose a scan covers 500 names and 320 come back with chance of a gain above 50% while 180 come back below. That roughly 64%-bullish skew reads as a moderately constructive aggregate — the model’s per-stock views are, on balance, tilted upward. Reversed (180 up, 320 down) it would lean bearish. The point is breadth: not one flagship stock’s forecast but the collective posture of hundreds.
Because the scan aggregate is built from the same per-ticker chance of a gain values that drive the single-stock views, it tends to agree with them by construction. That makes it a useful summary of what the platform’s own models collectively believe, but a weak cross-check: for genuine confirmation, look to independent inputs such as market breadth or macro indicators, not a restatement of the same forecasts. Quantustik treats it as one input to the composite Market Conditions score, never a standalone trigger.
chance of a gain is the model’s estimated probability that a stock’s price will be higher over the forecast horizon. The scan aggregate summarises the distribution of these values across the S&P 500 into one bullish/bearish tilt.
No. It is built from the same per-ticker chance of a gain values that drive the individual stock views, so it agrees with them by construction. A useful summary but a weak cross-check — use independent inputs for confirmation.
No. It is one input to the composite Market Conditions score and educational research only — never a standalone trade trigger or personalised investment advice.
Browse all S&P 500 tickers to see this metric applied to individual companies.
Educational research only — not investment advice.