The same valuation ideas you just learned show up inside Quantustik’s model as simple, directional signals: a value signal that rewards a lower P/E, a quality signal that rewards high ROE and healthy margins, and a growth signal from revenue and earnings growth — inputs among many, reported with calibrated confidence rather than false certainty.
Quantustik’s model reads the same fundamentals you’ve been studying and turns them into directional signals that point the way the theory does: a value signal from the P/E ratio (a lower P/E reads as better value — you pay less per dollar of earnings); a quality signal that rewards a high return on equity and healthy profit margins (the marks of a durable, well-run business); and a growth signal that blends revenue and earnings growth. Nothing mysterious is happening — cheaper valuation, higher quality and faster growth push the same way a thoughtful human reading the numbers would.
Two honest caveats. First, these valuation signals are inputs among many — they feed the model alongside the quantum price forecast, technical readings and sentiment, and the headline conviction score you see on a ticker card is dominated by the quantum forecast and technical signals, not by these fundamentals alone. Second, cheap is not the same as good: a low P/E can be a bargain or a business the market expects to shrink (a value trap), which is why a value signal only carries weight combined with quality and growth.
Any single valuation number is a range, not a certainty, which is why Graham demanded a margin of safety. Quantustik follows the same principle: rather than pretend to one exact fair price, its forecasts come with calibrated confidence bands, and it publishes how well those bands have actually held up. The calibration page and the track record show the hits and the misses, including where the model is weakest — the direct descendant of the margin-of-safety idea.
When you open a ticker page after this path, the fundamentals shouldn’t be a wall of jargon. A rich valuation, strong quality metrics and real growth mean something you can reason about — and you know to treat any signal, ours included, as an input to your own thinking under honest uncertainty, never a guarantee.
General investor education, not personalized advice, and not a claim that any stock is cheap or will rise. This lesson stays qualitative on purpose — it doesn’t publish the model’s internal weights or thresholds. These valuation signals are contributing inputs, not the whole verdict: the headline conviction score is driven mostly by the quantum forecast and technical signals. Cheap alone can be a value trap.
No. The model reads a lower P/E as better value, but “cheap” only matters alongside quality and growth — a low P/E can also mean the market expects the business to shrink (a value trap). Valuation is one input among many, not a verdict on its own.
They help shape it but don’t dominate it. The headline conviction score on a ticker card is driven mostly by the quantum price forecast and technical signals; valuation, quality and growth are contributing inputs. This lesson keeps the description qualitative on purpose — it doesn’t publish the model’s internal weights.
By reporting calibrated confidence bands instead of a single “fair price”, and by publishing how well those bands have actually held up on the calibration and track-record pages — including the misses. That openness about uncertainty is the same instinct as Benjamin Graham’s margin of safety.
Investor education only — not investment advice, and never a promise of profit. Every investment can lose value.