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Practical guides for using the screener to explore structural patterns — what each diagnostic identifies, how to interpret the results, and what the screener can and cannot tell you.
How to use the screener to find and understand structural patterns in company data — without prediction, without advice, just structural observation.
What Screener Guide Articles Cover
The screener identifies structural conditions by combining multiple observations. A single observation — like a high payout ratio — is a measurement. A diagnostic — like "dividend at risk" — is a structural observation that combines payout ratio with cash flow coverage, debt levels, and earnings trends to identify a specific condition. These articles explain what each diagnostic looks for, how the observations combine, and what the result means structurally.
Each guide covers one diagnostic pattern or a cluster of related patterns. It explains the surface appearance (what an investor sees in the data), the structural question (what the diagnostic is really asking), and the boundary (what the diagnostic cannot tell you). The screener observes conditions. It does not predict outcomes or recommend actions.
How to Read These Guides
Each guide is self-contained — you can read any guide independently. But the guides are also connected: a company that triggers one diagnostic often triggers related ones, because structural conditions cluster. The guides explain these relationships so you can move from a single observation to a broader structural picture. Start with whichever diagnostic is relevant to what you are looking at, and follow the connections from there.
Cash Flow and Balance Sheet Repair
How cash flow recovery, debt repayment, and balance sheet repair form a causal chain in turnarounds — and how each stage can be mimicked by unsustainable mechanisms. Note: only the diagnostics surfaced as embedded widgets in the article (3 of 6 described) are currently selectable in the screener; the rest are conceptual-only.
Detecting Dividend Cut Risk
Identifies when dividend safety metrics — payout ratios, yield levels, payment history — diverge from underlying cash reality through price-inflated yields, debt-funded payouts, or reserve depletion. Note: only the diagnostics surfaced as embedded widgets in the article (3 of 5 described) are currently selectable in the screener; the rest are conceptual-only.
Detecting False Turnarounds
Five diagnostic patterns distinguishing genuine recovery from misleading improvements: price bounces within an ongoing decline, base-year comparison effects, cost-cutting during revenue decline, working capital releases, and writedown deleveraging. Currently only 1 of the diagnostics described is wired as a selectable screener preset; the rest are conceptual descriptions of structural patterns the screener does not currently surface.
Detecting Leverage Risk Behind Strong Returns
Reveals when strong return on equity comes from financial leverage, accounting distortions, or negative equity rather than genuine business quality. Note: only the diagnostics surfaced as embedded widgets in the article (2 of 4 described) are currently selectable in the screener; the rest are conceptual-only.
Detecting Margin Compression Risk
Identifies when margin safety is illusory — from operating leverage risk, input cost lags, revenue mix shifts, and nonrecurring cost absences flattering reported margins. Currently only 1 of the diagnostics described is wired as a selectable screener preset; the rest are conceptual descriptions of structural patterns the screener does not currently surface.
How to Find Beaten-Down Stocks With Strong Fundamentals
Combines price drawdown observations with fundamental stability measures to find stocks where the business remains structurally sound despite significant price declines.
How to Find Balance Sheet Fortress Stocks
Screens for companies with structural financial strength across four dimensions: liquidity, debt discipline, debt service capacity, and composite balance sheet resilience. Note: only the diagnostics surfaced as embedded widgets in the article (4 of 6 described) are currently selectable in the screener; the rest are conceptual-only.
How to Identify Quality Compounders
How earnings integrity, competitive positioning, margin structure, and cash generation form a self-reinforcing quality system — ordered from foundation to compounding loop. Note: only the diagnostics surfaced as embedded widgets in the article (5 of 7 described) are currently selectable in the screener; the rest are conceptual-only.
How to Identify Companies Growing Through Acquisitions
Identifies companies expanding through acquisitions using goodwill accumulation, investment cash flows, and cash conversion observations to assess whether acquired businesses generate real cash.
How to Find High-Quality Compounders
Screens for durable business quality by combining profitability, cash generation, and earnings reliability into composite portraits of structural durability.
How to Identify Hidden Business Risks and Structural Exposures
Identifies structural dependencies — customer concentration, supplier reliance, regulatory exposure, key-person risk — that create hidden vulnerabilities beyond standard financial metrics.
How to Find Companies With High Returns on Capital
Screens for businesses generating the highest returns per unit of invested capital, combining return on equity, asset turnover, and capital structure observations.
How to Identify Companies With Durable Competitive Advantages
Combines profitability, capital efficiency, and margin observations to identify businesses with structural characteristics associated with pricing power and durable competitive positioning.
How to Find Companies With Sustainable Earnings Growth
Finds companies with reliable revenue and earnings expansion driven by reinvestment and organic volume growth rather than one-time events or financial engineering.
How to Identify Refinancing and Debt Maturity Risk
Screens for the timing dimension of corporate debt — when obligations come due, how actively the company raises new debt, and whether short-term liquidity is adequate.
How to Find Reliable and Sustainable Dividend Stocks
Evaluates dividend durability through payout history, cash flow coverage, and growth track observations to distinguish sustainable income streams from fragile ones.
How to Spot Financial Distress and Leverage Risk
Identifies structural warning signs across leverage, liquidity, profitability, and dilution dimensions to surface companies exhibiting elevated financial distress characteristics.
How to Find Companies With Strong Balance Sheets
Screens for companies that can withstand economic stress by combining leverage, liquidity, and debt management observations into structural resilience profiles.
How to Identify Companies With Strong Free Cash Flow
Identifies businesses generating genuine surplus cash after operating and capital needs, combining FCF-to-asset ratios, cash flow margins, and conversion metrics.
Screening for Balance-Sheet Value Characteristics
Identifies companies trading below book value or with equity built primarily from retained profits, alongside balance-sheet support observations. Does not detect hidden, unrecognized, or off-balance-sheet asset value.
How to Identify Businesses With Expanding Margins
Identifies businesses where profitability is structurally improving through operating leverage and revenue growth, combining margin trend observations with efficiency indicators.
How to Identify Breakouts, Support Levels, and Structural Setups
Identifies technical conditions where price, volatility, and volume create actionable structural setups — breakout readiness, volatility compression, accumulation phases, and support proximity.
How to Find Stocks With Confirmed Momentum Trends
Finds stocks where price trends, volume patterns, and technical indicators structurally converge, distinguishing confirmed directional momentum from random price fluctuation.
How to Identify Operational and Working Capital Efficiency
Evaluates how effectively a company manages working capital, cost structure, and operating leverage using receivables, inventory, payables, and cash conversion observations.
How to Find Companies Investing for Long-Term Innovation
Identifies companies whose economic value depends substantially on research and intangible assets, combining R&D spending intensity with balance sheet composition metrics.
How to Identify Strong Shareholder Return Programs
Evaluates how actively and efficiently companies return capital to shareholders through dividends, buybacks, and retained earnings accumulation.
How to Spot Dilution and Stock-Based Compensation Risk
Reveals when stock-based compensation structurally dilutes shareholders and obscures true profitability, combining SBC intensity, share count dilution, and cash-earnings divergence observations.
How to Screen for Value Characteristics
Identifies stocks where reported price-to-fundamental ratios sit below standard thresholds, with balance-sheet support and a separate compression-risk filter. The observations describe accounting relationships, not hidden or unrecognized value.
How to Identify a Dividend Yield Trap
The diagnostic counterpart to dividend reliability screening — identifies when an attractive yield is structurally unsound due to falling prices, unsustainable payouts, or debt-funded distributions.
How to Spot Accounting Red Flags
Diagnostic patterns revealing when financial statements present the business more favorably than operations support — through earnings smoothing, guidance management, recognition timing, or unrealized gains. None of the diagnostics described is currently wired as a selectable screener preset; the article is conceptual analysis of structural patterns the screener does not currently surface.
How to Spot Misleading Financial Signals
Diagnostic screening revealing when surface metrics diverge from structural reality — high returns driven by leverage, cash generation masking underinvestment, cost savings hiding revenue decline.
Identifying Value Traps
Distinguishes genuine undervaluation from structural value traps where low prices reflect weak earnings quality, cyclically peak multiples, or permanently impaired assets rather than mispricing. Note: only the diagnostics surfaced as embedded widgets in the article (1 of 4 described) are currently selectable in the screener; the rest are conceptual-only.
Is This Balance Sheet Hiding Hidden Risks?
The diagnostic counterpart to financial strength screening — tests whether apparent balance sheet strength is masked by off-balance-sheet obligations, goodwill dependence, restricted cash, or rate exposure.
Is This Growth Real or Manufactured?
The diagnostic counterpart to growth screening — tests whether headline growth is structurally durable or manufactured through buyback-inflated EPS, acquisition-dependent revenue, or pulled-forward demand. Currently only 1 of the diagnostics described is wired as a selectable screener preset; the rest are conceptual descriptions of structural patterns the screener does not currently surface.
Profitability and Operating Recovery
Examines how revenue stabilization and cost structure repair interact during turnarounds, and the structural signatures distinguishing genuine operating recovery from surface-level margin improvement. Note: only the diagnostics surfaced as embedded widgets in the article (2 of 3 described) are currently selectable in the screener; the rest are conceptual-only.
Recognizing Structural Turnarounds
Maps the six structural dimensions of a turnaround — revenue, margins, cash flow, leverage, balance sheet, and market pricing — and the degradation conditions preceding each.
How to Identify Receivables-Concentration Patterns
Identifies companies whose balance sheet has become structurally receivables-concentrated through sustained AR growth and a receivables-heavy current-asset mix. Does not diagnose collection risk or assess whether the growth is benign.
How to Read Upper-Side Price Position Configurations
Reads upper-side configurations where stochastic %K, Bollinger %B, and RSI's own Bollinger %B simultaneously sit in their upper portions. The screener has no wired lower-side / oversold interpretation; the price-extreme-position obs are sign-asymmetric and only fire on the upper side.
How to Screen for Quality at a Reasonable Price (QARP)
Layers quality interpretations (Quality Compounder, Earnings Integrity, Cash Generation Engine) with value interpretations (Graham Value Position, Deep Value Position, Retained Earnings Accumulation) to surface stocks where both readings fire simultaneously. The screener layers them; you read the overlap.
How to Combine Balance-Sheet Strength and Cash Position in the Screener
Combines low-leverage-liquidity-configuration and cash-rich-position observations to find companies whose structural defensive profile is supported on both leverage and liquidity sides. The screener has no wired low-volatility or antifragile interpretation — both were deactivated for direction-asymmetry bugs and phantom obs respectively.
How to Combine Multiple Screening Factors Effectively
Explains four methods for combining screening interpretations — AND-filtering, OR-exploration, exclusion, and multi-pass workflows — to build layered screens for specific investment questions.
What Capital Allocation Observations Show in the Screener
Examines what cumulative buyback and debt-financing decisions leave on the balance sheet and cash flow statement. The screener has no observation that reads insider transaction data, so insider buying is outside its scope.
When Asset Metrics Mask Deterioration
Three patterns where asset metrics mislead — growth from acquisition premiums, turnover improvement from asset sales, and balance sheet strength resting on uncertain receivables. Note: only the diagnostics surfaced as embedded widgets in the article (2 of 3 described) are currently selectable in the screener; the rest are conceptual-only.
When Balance Sheet Strength Is Overstated
Four patterns where headline balance sheet metrics overstate strength — inventory-inflated current ratios, restricted cash, deferred-tax-dependent book value, and hidden off-balance-sheet obligations. None of the diagnostics described is currently wired as a selectable screener preset; the article is conceptual analysis of structural patterns the screener does not currently surface.
When Capital Returns Mask Structural Problems
Three patterns where buybacks, per-share growth, and ROIC improvements reflect financial engineering — debt-funded repurchases, shrinking share counts, and capital base reduction — not operational improvement. Currently only 1 of the diagnostics described is wired as a selectable screener preset; the rest are conceptual descriptions of structural patterns the screener does not currently surface.
When Cash Flow Improvement Is an Illusion
Four patterns where cash flow turns positive through non-repeatable mechanisms — working capital liquidation, deferred capex, asset sales, or receivables factoring — not genuine operating improvement. Currently only 1 of the diagnostics described is wired as a selectable screener preset; the rest are conceptual descriptions of structural patterns the screener does not currently surface.
When Cost Structure Hides Fragility
Four patterns where cost efficiency masks fragility — deferred spending as low SG&A, contractor dependence as productivity, fixed cost burden as leverage, and geographic mix shifts as margin gains. None of the diagnostics described is currently wired as a selectable screener preset; the article is conceptual analysis of structural patterns the screener does not currently surface.
When Debt Metrics Improve Without Real Deleveraging
Four patterns where debt ratios improve without operational cash paying down obligations — through equity conversion, asset impairment, interest capitalization, or debt-financed liquidity. None of the diagnostics described is currently wired as a selectable screener preset; the article is conceptual analysis of structural patterns the screener does not currently surface.
When Dividend Growth Isn't Earned
Three patterns where favorable dividend metrics obscure weakness — payout expansion from stagnant earnings, composite income stock stress, and refinancing risk hidden from coverage ratios. Currently only 1 of the diagnostics described is wired as a selectable screener preset; the rest are conceptual descriptions of structural patterns the screener does not currently surface.
When Earnings Growth Isn't Real
Diagnostic patterns revealing when reported earnings growth comes from accounting timing, share count shrinkage, or below-the-line items rather than genuine business improvement. Note: only the diagnostics surfaced as embedded widgets in the article (2 of 5 described) are currently selectable in the screener; the rest are conceptual-only.
When Market Outperformance Isn't What It Seems
Four patterns where apparent stock outperformance reflects market-level beta, sector momentum, illiquidity-suppressed volatility, or short-squeeze mechanics rather than company-specific strength. None of the diagnostics described is currently wired as a selectable screener preset; the article is conceptual analysis of structural patterns the screener does not currently surface.
How to Identify Momentum Exhaustion and False Breakouts
The diagnostic counterpart to momentum screening — identifies when strong-looking momentum signals are structurally unreliable, show recent-half-vs-earlier-half window decay, or are disconnected from volume and fundamental support.
When Operating Efficiency Is an Illusion
Four patterns where operating efficiency reflects accounting choices — cost capitalization, depreciation policy, deferred investment, R&D capitalization — rather than genuine operational improvement. Note: only the diagnostics surfaced as embedded widgets in the article (3 of 4 described) are currently selectable in the screener; the rest are conceptual-only.
When Ownership Signals Mislead
Four patterns where insider buying, institutional accumulation, and share count stability reflect compensation mechanics, index rebalancing, or hidden dilution rather than genuine conviction. Currently only 1 of the diagnostics described is wired as a selectable screener preset; the rest are conceptual descriptions of structural patterns the screener does not currently surface.
How to Identify Price–Fundamental Divergence
Identifies structural disagreements between market price and business fundamentals — strong metrics with declining prices, or rising prices with deteriorating operations. None of the diagnostics described is currently wired as a selectable screener preset; the article is conceptual analysis of structural patterns the screener does not currently surface.
When Price and Volume Patterns Deceive
Four patterns where price observations mislead — recoveries inside downtrends, support tests becoming breakdowns, accumulation masking distribution, and volume surges from single block trades. Currently only 1 of the diagnostics described is wired as a selectable screener preset; the rest are conceptual descriptions of structural patterns the screener does not currently surface.
When Profit Growth Comes from Non-Operating Sources
Four patterns where profit improvement comes from non-repeatable sources — asset sale gains, currency translation, warranty accrual reductions, and quality-degrading cost cuts. Currently only 1 of the diagnostics described is wired as a selectable screener preset; the rest are conceptual descriptions of structural patterns the screener does not currently surface.
When Revenue Strength Is Fragile
Three patterns where revenue appears stable but rests on narrowing foundations — customer concentration as dependency, declining backlogs, and earnings beats following lowered expectations. None of the diagnostics described is currently wired as a selectable screener preset; the article is conceptual analysis of structural patterns the screener does not currently surface.
When Stability and Safety Metrics Are Illusory
Five patterns where stocks appear defensive or stable but the structural basis is a temporary condition, classification artifact, or reversible mechanical process. Currently only 1 of the diagnostics described is wired as a selectable screener preset; the rest are conceptual descriptions of structural patterns the screener does not currently surface.
When Technical Signals Mislead
Four patterns where directionally-positive price signals lack structural confirmation — breakouts without volume, golden crosses with deteriorating fundamentals, low-volume bounces, and consolidation with asymmetric down-bar / up-bar volume. None of the diagnostics described is currently wired as a selectable screener preset; the article is conceptual analysis of structural patterns the screener does not currently surface.
When Valuation Looks Cheap but Isn't
Three patterns where standard valuation metrics mislead — cyclical peak earnings producing low P/E, business model differences explaining peer discounts, and historically high margins inflating valuation support. None of the diagnostics described is currently wired as a selectable screener preset; the article is conceptual analysis of structural patterns the screener does not currently surface.
When Working Capital Metrics Mislead
Four patterns where working capital efficiency masks supplier strain, one-time cash extraction, demand weakness, or credit restriction rather than reflecting genuine operational health. Currently only 1 of the diagnostics described is wired as a selectable screener preset; the rest are conceptual descriptions of structural patterns the screener does not currently surface.