A three-class label — BULLISH / NEUTRAL / BEARISH — from a Random Forest classifier, shown next to the quantum forecast. Read it as a plain-words second opinion on the same question the forecast answers with numbers: is this stock more likely to rise or fall over the horizon?
BULLISH means the model estimates a high probability the price clears its return threshold over the horizon; NEUTRAL means no strong edge either way; BEARISH means that probability is low. BEARISH is deliberately narrow — “consider exiting an existing long,” not a recommendation to short-sell. Quantustik does not issue short-sell signals, so on a stock you don’t own a BEARISH label is just a reason not to buy today.
It is tempting to read “the ML Signal agrees with the quantum forecast” as two separate methods converging — stronger evidence than either alone. It isn’t. The classifier’s inputs include quantum-model-derived features, so when the two point the same way they are correlated, not independent, and agreement should not be double-counted. For a genuine cross-check, look to inputs the model doesn’t already consume — fundamentals, insider activity, or the macro conditions.
No. BEARISH means the model rates the probability of a gain as low — a reason to consider exiting an existing long or not buying today, never a short-sell recommendation.
Not as much as it looks. The classifier’s inputs include quantum-model-derived features, so the two are correlated, not independent — agreement is expected and should not be double-counted as confirmation.
No. It is one input among several and educational research only — read it alongside model confidence and buy probability, never as personalised investment advice.
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Educational research only — not investment advice.