LARK

What it would cost to take over the entire firm (equity plus debt, less cash) per dollar of pre-interest, pre-tax, pre-depreciation operating earnings. Capital-structure-agnostic — directly comparable across heavily and lightly levered businesses, which a P/E can't do. The weakness: EBITDA ignores capex, so capital-intensive businesses look artificially cheap on this metric. Cross-check with EV/FCF when capex is meaningful.

The multiple equity analysts most commonly quote because it reflects expected earnings rather than the trailing window. Same caveats as trailing P/E plus one extra: the denominator depends on consensus estimates, which can be systematically optimistic going into a downturn or pessimistic at a cyclical trough. Worth cross-checking against trailing P/E and sell-side estimate trend.

An ABSOLUTE intrinsic-value signal, distinct from the relative multiples (PE, EV/EBITDA) which only compare a stock to its industry peers. Intrinsic value comes from the Residual Income Model: book value plus the present value of the residual income (earnings above a charge for the cost of equity) the firm is forecast to generate. This is the best-VALIDATED absolute value signal in the academic literature (Frankel & Lee 1998, replicated through 2026): the value-to-price ratio robustly predicts 1-3 year cross-sectional returns, survives every major factor model, and subsumes book-to-market. Because it is scored across the WHOLE universe (not within-industry), it complements the relative multiples rather than double-counting them. Pair it with a quality screen (Piotroski) to avoid value traps, and read the EPV decomposition to see whether a discount is unpriced earnings power or just speculative growth coming out of the price. One caveat: the model anchors on book equity, so for low-book, buyback-heavy, or asset-light firms (think Apple or Coca-Cola) book is a poor floor and the model can read durable franchises as wildly overvalued. Readings are clamped, and the metric is currently shadow-scored — shown for context, with zero weight in the fundamentals grade — pending validation.

Easier to compare than operating margin across firms with very different leverage and depreciation profiles, because it adds D&A back. Software platforms commonly run above 30%; capital-light service businesses cluster around 20%; capital-intensive industrials sit below 15%. The weakness: ignores the cash needed to maintain the asset base — pair with FCF margin for a complete profitability picture.

Joel Greenblatt's reformulation of return-on-capital, designed to filter for businesses that earn high pre-tax returns on the tangible operating capital that actually generates EBIT. Excludes goodwill and acquired intangibles so that two firms with the same operating economics rank similarly regardless of acquisition history. Pairs with Greenblatt's Earnings Yield (EBIT/EV) to produce the famous 'Magic Formula' rank — quality stocks at value prices.

Pre-tax cousin of ROIC using operating capital employed (long-term debt plus equity, approximately equal to total assets minus current liabilities). Damodaran publishes ROCE by industry annually, so it benchmarks cleanly against sector norms. Particularly useful for capital-intensive businesses where you want to see pre-tax returns on the long-term capital base.

Top-line growth — the cleanest way to see whether the franchise is expanding. Best read alongside margin trend: revenue rising while margin compresses is often discount-driven volume rather than real growth, and can mask underlying weakness. Compare to industry peers — what looks weak in absolute terms can be best-in-sector if the industry is contracting.

The single best operations-quality metric. Negative CCC means the firm is funded by suppliers — the customer pays before the supplier needs to be paid (Apple, Costco, Amazon at scale). Long CCC ties up working capital and forces operating-loan dependence. Combines three sub-metrics: days inventory outstanding, days sales outstanding, days payable outstanding.

How long the average sale sits as a receivable before becoming cash. Earnings-quality flag: receivables growing faster than revenue is one of the cleanest tells for revenue recognition stretching — Beneish flagged exactly this pattern as a primary fraud indicator. Industry context matters: B2B / project businesses run longer DSO than retail, but the trend is more important than the level.

DuPont productivity measure. Combined with margin, it tells the asset-light vs. asset-heavy story: low turnover with high margin is the luxury / branded model, high turnover with thin margin is the supermarket / discount model. Very high turnover in retail can also flag stockouts (lost sales) — the metric reads best industry-relative, not absolute.

CCI measures how far the current typical price ((H+L+C)/3) sits from its rolling SMA, normalized by the mean absolute deviation. Originally built for commodity cycles by Donald Lambert; widely used as a generic momentum / overbought-oversold gauge on any asset. CCI is unbounded but ±100 is the conventional 'normal range' edge — readings beyond that are interpreted as strong directional thrusts or stretched extremes depending on context.

+1 while CCI is below -100 (oversold); -1 while CCI is above +100 (overbought); 0 inside the ±100 band.

+1 = oversold (stretched below the typical-price mean, mean-reversion buy bias), -1 = overbought (stretched above), 0 = inside the ±100 band.

The Coppock Curve is a weighted moving average of the sum of two rate-of-change measures, originally designed as a long-horizon, buy-only bottom indicator for equity indices. This screener applies it to daily bars and adds a bearish state for symmetry: a cross up through zero is the classic long-term buy tell, a cross down through zero flags a bearish momentum cycle.

+1 while the Coppock Curve is above zero; -1 while it is below zero; 0 only at exactly zero.

+1 = bullish zero-line cross (classic long-term buy), -1 = bearish zero-line cross.

Compares price pivots against the MACD histogram (MACD line minus signal line) at those same bars. Bullish divergence: price makes a lower low, histogram makes a higher low — momentum is improving beneath the surface. Bearish divergence: price makes a higher high, histogram makes a lower high. Slower than the MACD signal cross but a richer confirmatory tell — the histogram captures momentum acceleration, not just direction.

+1 at the right-hand pivot of bullish divergence; -1 at right-hand pivot of bearish divergence; 0 otherwise.

+1 = bullish divergence, -1 = bearish divergence.

The MACD histogram is the difference between the MACD line (12/26 EMA spread) and its 9-period signal line. When the histogram crosses above zero, the MACD line has crossed above its signal - a bullish momentum-state shift; a cross below zero is bearish. This signal is currently disabled in scoring: the histogram is positive exactly when MACD is above its signal line, making it an algebraic duplicate of the MACD signal cross, which carries the weight instead.

+1 while the MACD histogram is above zero; -1 while it is below zero; 0 only at exactly zero. (Currently disabled as a duplicate of the MACD signal cross.)

+1 = histogram turned positive (bullish momentum), -1 = histogram turned negative (bearish momentum).

Fires on the bar where the MACD line (EMA12 minus EMA26) crosses through the signal line (EMA9 of MACD). Bullish when MACD crosses up through signal, bearish when it crosses down. Far more commonly used as a trade trigger than divergence — see macd_divergence for the slower confirmatory tell. Whipsaws in chop; cleanest when combined with a trend-regime filter.

+1 on bullish cross (MACD crosses up through signal); -1 on bearish cross (MACD crosses down through signal); 0 otherwise.

+1 = bullish MACD-signal cross, -1 = bearish MACD-signal cross.