How the scores work
Presentation note. This site displays data, model outputs and described calculations from stated inputs. It does not provide financial product advice or recommendations - descriptions below of how each calculation works are exactly that: descriptions of arithmetic, not guidance on what to do.
Every tool on this site runs the same engine. A ticker goes in; live data comes back (prices and volumes, financial statements and analyst estimates via Yahoo Finance, search interest via Google Trends, headlines via Yahoo/NewsAPI, chatter via StockTwits); and the same value-investing maths runs every time. Nothing on this page is a black box - every score’s inputs are charted right next to it on the site.
The Value Score (0–100)
One number summarising four calculations, each clamped to a fixed band first so no single factor can run away with the result:
| Factor | Weight | What it measures |
|---|---|---|
| Quality | 35% | Is this a good business? Return on equity, profit margin, revenue and earnings growth, free cash flow, debt - computed from the company’s own fundamentals. Loss-making, cash-burning businesses are capped: a company that doesn’t make money can’t score as “high quality” no matter how fast it grows. |
| Margin of Safety | 25% | Is the price below the value? The gap between our intrinsic-value estimate and today’s price, clamped to ±50 so a wild discount (or premium) can move the score but never dominate it. |
| Psychology | 20% | Which way is the crowd leaning? Fear minus greed minus FOMO, read from price behaviour; fear enters the formula with a positive sign. The sign convention is part of the stated arithmetic, not a recommendation. |
| Discovery | 20% | Is the market noticing? Price activity, unusual volume, search trends, news flow and social chatter - attention only, deliberately separate from sentiment. |
On this site the number is displayed as the Value Score - a weighted description of the four calculations above, shown without signal labels or recommendations. Where no intrinsic value could be computed, that is stated plainly and the affected values are marked.
Intrinsic value
The primary model is a discounted cash flow built from the company’s own reported free cash flows. The discount rate is calculated per stock (CAPM - the stock’s own beta against its market), growth comes from analyst consensus where available, then the company’s own historical FCF growth, and the terminal growth rate is set by the stock’s currency. Where a DCF isn’t possible, a P/E-blend fallback is used and labelled as such. Margin of Safety = (intrinsic value − price) ÷ intrinsic value.
A stock trading 25%+ below intrinsic value is labelled UNDERVALUED; above intrinsic value, EXPENSIVE; between, FAIR.
Psychology and discovery readings
Alongside the valuation models, the site reports what the crowd has been doing: distance below the 3-month high (fear), distance from the 50-day average and greed/ FOMO terms, and a discovery reading built from volume, search interest, news and social chatter. These are measurements, stated as numbers - the site does not display entry levels, targets or trade verdicts.
The red-flag rule
Whenever a number rests on a default or average because real data wasn’t available, it’s shown in red. An estimate is never dressed up as a fact - you always know which numbers are computed and which are assumed.
Rational Compounder Research
The Research section is different: it isn’t computed at all. It’s the author’s own hand-built workbook analysis of selected quality compounders - a decade of earnings history, four independent fair-value methods (trailing P/E, forward P/E, DCF, and a 10-year equity method), and written Buffett/Munger-style judgment on management, moat and risk. Every threshold and colour band on those pages comes from the original research, not a generic screen.
Limitations, honestly
Data is sourced from free public feeds and can be delayed, revised or occasionally wrong. Intrinsic value is an estimate resting on assumptions - reasonable assumptions, shown openly, but assumptions. Scores are model outputs, not personal advice, and none of this considers your circumstances. Use it the way it was built to be used: as the starting point for your own judgment, not a substitute for it.