DCI

Adjusts the numerator for debt and cash so heavily-levered or cash-rich companies become comparable on a revenue-multiple basis. Particularly useful for cross-industry valuation work where some firms run net cash and others carry meaningful debt loads. Same caveats as P/S: best read alongside gross margin to translate the multiple into expected steady-state earnings power.

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.

Share price divided by per-share book value of common equity — what the market values the franchise at versus what the accountants say it's worth on paper. Most informative for asset-heavy businesses (banks, insurers, industrials) where book value approximates a liquidation floor; far less informative for asset-light franchises whose value sits in brand, software, or other intangibles that GAAP under-states or excludes entirely.

Useful when earnings are negative, noisy, or one-time-distorted (early-stage growth, restructurings, cyclical troughs). Works best within an industry, not across — gross margin profiles vary so wildly that 1x P/S for a software company means something completely different from 1x P/S for a grocery chain.

Free cash flow the business throws off, divided by what the market currently charges for the equity. Treats the equity claim as a perpetual stream of free cash. More honest than earnings yield because it reflects the cash actually available to shareholders after all reinvestment. Cyclicals can swing below zero in a downturn — read with the trailing-cycle range.

Measures how productive the actual operating capital base is, independent of capital structure. Strips out the effects of cash, leverage, and below-the-line items so you see the underlying economic engine. The benchmark is the firm's weighted-average cost of capital (WACC) — sustained ROIC above WACC creates value, sustained ROIC below WACC destroys it. The single most important profitability metric for long-term compounding.

Bottom-line growth on a per-share basis — captures both operating progress and any net buyback effect. The denominator uses the absolute value of prior EPS so a turnaround from negative to positive earnings reads with the conventional sign rather than producing arithmetic nonsense. Pair with revenue growth to separate real franchise expansion from buyback-driven per-share lift.

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.

Direct cash income from holding the share. Stable dividend yield over time often signals capital discipline and predictable cash generation; abnormally high yield is frequently a warning that the dividend isn't covered by free cash flow and may be cut. Always read alongside payout ratio and FCF coverage.

Net income divided by market cap, expressed as a percent. Lets you compare equity earning power directly to bond yields: a 6% earnings yield is the equity-side analog to a 6% coupon, with the difference that earnings can grow (or contract) while a bond coupon is fixed. The standard 'is the equity risk-premium adequate?' framing.

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.

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.

TRIX is the one-bar rate of change of a triple-exponentially-smoothed closing price. The triple smoothing strips out short-term noise, so TRIX oscillates slowly around zero. A cross up through zero marks momentum turning positive (bullish); a cross down through zero marks it turning negative (bearish). Smoother and lower-frequency than most momentum oscillators, which trades responsiveness for fewer whipsaws.

+1 while TRIX is above zero; -1 while TRIX is below zero; 0 only at exactly zero.

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

Williams %R maps close-to-range position onto a -100 to 0 scale: -100 means the close is right at the lookback period's low (oversold), 0 means right at the period's high (overbought). The oscillator's interpretation mirrors RSI but the scale is inverted. Like other OB/OS oscillators, it works best as a tactical timing aid inside an already-established trend, not as a standalone reversal trigger in choppy markets.

+1 while %R is below -80 (oversold); -1 while %R is above -20 (overbought); 0 in between.

+1 = oversold (bullish), -1 = overbought (bearish), 0 = mid-range.