LPCN

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.

Capital-structure-agnostic earnings yield. Pairs with Greenblatt ROC to compute the famous Magic Formula rank (the universe-rank of earnings yield plus universe-rank of return on capital). Pre-tax operating earnings divided by the full claim on the firm gives a cleaner cross-firm valuation comparison than P/E or earnings yield alone, because it strips out the distortions from leverage, cash, and tax structure.

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.

Lower is generally better for shareholder cash returns — less of every dollar of revenue gets reinvested in maintaining the asset base. But very low values can flag under-investment in a capital-intensive business, which catches up later via deteriorating capacity or competitiveness. Pairs with FCF margin to separate 'thin operating margin' from 'fat operating margin offset by heavy capex'.

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.

First-line profitability measure — how much revenue is left after the direct cost of producing it. Stable or rising gross margin signals pricing power and low input-cost exposure; falling gross margin is one of the earliest reliable signals of competitive pressure or commodity-input squeeze. Industry context is everything: 30% gross margin is excellent for a grocery chain and disastrous for a software company.

Operating margin minus interest, tax, and below-the-line items. Useful but noisier than operating margin: tax rate changes, debt-service shifts, and one-time items can move net margin year-over-year even when the operating business is unchanged. Always pair with operating margin and FCF margin — divergence between them is a tell about leverage, tax structure, or earnings quality.

Captures the leverage between revenue and operating profit — the core test of whether a business converts sales into income at the operating level. Independent of capital structure (excludes interest) and tax-jurisdiction noise. Trend matters as much as level: an improving operating margin indicates pricing power or operational efficiency gains; a falling margin signals input-cost pressure, wage inflation, or competitive erosion.

The headline profitability metric. Net income divided by average book equity tells you how productive each dollar of shareholders' capital is. High sustained ROE compounds book value when the business can reinvest at a similar return. Two warnings: ROE rises mechanically with leverage (high D/E inflates ROE without making the business better), and aggressive buybacks can shrink the equity denominator faster than they shrink earnings, artificially boosting ROE even as fundamental returns are flat.

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.

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.

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.

Designed to buy oversold pullbacks within an established uptrend (price above the regime moving average). Uses a 2-period RSI rather than the standard 14 to make it hyper-responsive to short-term swings. The default exit_method is RSI-threshold based: hold while RSI(2) is below the configured exit threshold and exit when RSI(2) crosses above exit. The book-style SMA exit is also supported by setting exit_method=sma with exit_ma.

+1 when price is above regime_ma and RSI(2) drops below oversold; held while inside the trade; back to 0 when the configured exit_method fires.

+1 = pullback-buy state active, -1 = pullback-short state active (symmetric rule in a down regime), 0 = flat.

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.

Stochastic RSI applies the stochastic oscillator formula to RSI values rather than price, producing a faster, more sensitive 0-100 momentum read. Readings below 20 are oversold and above 80 overbought. The signal latches bullish when FastK crosses above FastD while in the oversold zone and stays on until FastK drops back below FastD; the bearish mirror latches on a cross down in the overbought zone. More reactive than plain RSI, so best filtered by trend context.

+1 latches when FastK crosses above FastD while FastK is below the oversold threshold (default 20), and holds until FastK falls back below FastD; -1 latches when FastK crosses below FastD while FastK is above the overbought threshold (default 80), and holds until FastK rises back above FastD; 0 otherwise.

+1 = bullish oversold cross still latched, -1 = bearish overbought cross still latched, 0 = no latched cross.

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.