StockLens
StockLens methodology

How the StockLens Score Works

StockLens combines five analysis domains into a 0–100 composite. Each score is a point-in-time analytical snapshot—not a recommendation or price target—and should be read with its configuration, date, domain breakdown, and ranked drivers.

View an analysis exampleExplore the five domains
Composite scale0–100

One configured snapshot, supported by five domain scores.

Composite Anatomy

How five domains become one score

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Base configuration

The settings are part of the score

Time horizon and analysis focus select the base calibration used across all five domains. Changing either setting changes the analytical lens—not the company’s underlying facts.

Time horizon

Tells the analysis whether to emphasize shorter-term or longer-term evidence and how to treat signal recency.

Analysis focus

Shifts how much the analysis weighs downside and quality risk versus growth and fundamentals. It is not a judgment of personal risk tolerance.

Time horizon runs down the left
Each rosette represents all five domains. Rows and columns change the calibration, not the domain set or a published weight.
Freshness and basis

Know which snapshot you are reading

A StockLens score is reproducible only from the same complete data and configuration snapshot. New inputs, a new analysis time, or different settings can produce a different result.

Latest overnight snapshot

Public stock pages, Discovery, and Portfolio use completed overnight scoring results so the displayed basis stays clear and comparable.

Fresh on-demand analysis

A requested analysis runs with the latest available inputs. It can differ from an overnight snapshot because the inputs, time, or configuration changed.

Point-in-time context

Neither surface is a real-time quote. Read every score with its analysis date, configuration, domain breakdown, and available drivers.

Explainability

Read the ranked drivers with the number

Where the analysis contract supplies them, StockLens surfaces display-safe drivers that describe what lifted or dragged the score. The public view preserves rank and direction without exposing internal contribution magnitudes or raw scoring diagnostics.

1

A supportive factor

Lift

A plain-language reason that helped the configured analysis.

2

A constraining factor

Drag

A plain-language reason that weighed against the configured analysis.

Rank communicates display order, not a hidden contribution percentage.
Named components

What sits inside a domain score

A domain score is not one number from one model. It summarizes named components, each computed from its own evidence. The Risk entries name all six categories that domain can score; the other domains list selected components. Components that a company’s filings or market data cannot support are set aside and reported as such, rather than scored as neutral.

Risk

Valuation

Valuation multiples read as downside exposure rather than as cheapness: forward P/E, price-to-book, forward PEG, EV/EBITDA, price-to-sales, and a dividend yield high enough to look unsustainable.

Risk

Financial stability

Balance-sheet resilience: the Altman Z-Score, debt-to-equity and the direction debt is moving, current ratio, interest coverage, and free cash flow yield.

Risk

Volatility profile

How variable the company’s price behavior has been over the analysis window, read inside the risk domain rather than as a standalone verdict.

Risk

Profitability

Margin durability read as exposure: consistently thin or negative net margins count as a source of downside, not only as weak performance.

Risk

Predictability

How consistent the financial record has been, summarized by the Piotroski F-Score, where a weaker reading means less predictable financial behavior.

Risk

Earnings integrity and governance

A Beneish M-Score screen for statistical signs of earnings manipulation, alongside critical events disclosed in filings. The screen reports its own status and is set aside when a company’s filings do not support the model.

Fundamental

Economic moat

An assessment of durable competitive advantage that adjusts the fundamental read where the evidence supports one.

Fundamental

Fundamental momentum

The direction the fundamentals are travelling, kept distinct from their level at a single point in time.

Sentiment

Earnings call

Management tone scored from earnings call transcripts, kept separate from news sentiment so the two are not blended.

Technical

Price levels and patterns

Structural price context that informs the technical domain, reported alongside the score rather than as a signal to act on.

Advanced tuning

A tuned score is a different analytical lens

Custom tuning starts from the selected horizon- and focus-aware base calibration. It changes relative emphasis for one on-demand analysis; it does not rewrite the standard StockLens rating.

Standard StockLens lens

Uses StockLens’s model-calibrated weighting for the selected time horizon and analysis focus. This is the baseline for a like-for-like comparison.

Your tuned lens

Adds relative domain emphasis—less, baseline, or more—rather than fixed percentages. The result is labeled as tuned and belongs to that analysis only.

Relative emphasis, not a percentage editor

The controls redistribute emphasis from the engine’s real base weighting. A read-only preview shows the resulting distribution; the scoring engine computes the rerun.

Custom tuning applies to this on-demand analysis only. The latest overnight scores in Discovery and Portfolio remain untouched.

Advanced tuning is available on Pro and Max. Available controls depend on the analysis configuration.
Preset starting lenses

Value Investor

Emphasizes fundamentals and downside risk over short-term price action.

Momentum Trader

Emphasizes technical momentum and market sentiment over slow-moving fundamentals.

Capital Preservation

Emphasizes risk and macro resilience to protect capital first.

Quality Compounder

Emphasizes durable fundamentals and macro tailwinds for long-term compounding.
Scoring FAQ

Common questions about the StockLens score

What does a StockLens score mean?

A StockLens score is a 0–100 composite that summarizes a point-in-time analysis across technical, fundamental, risk, sentiment, and macro domains. It is an analytical output, not investment advice, a recommendation, or a price target.

How is the composite score built?

Each domain summarizes a group of related signals. StockLens applies the selected time horizon and analysis focus, produces five domain scores, and combines them into one composite. The configuration and analysis date are part of the score context.

Are StockLens scores real-time?

No. Public and portfolio surfaces use the latest completed overnight scoring snapshot. A fresh analysis runs on demand with the latest available inputs, so it may differ from an overnight snapshot. Always check the analysis date and basis.

Can I tune a StockLens score?

Pro and Max users can apply relative domain emphasis and available advanced controls to an on-demand analysis. The tuned result is labeled as a personal analytical lens; it does not replace the standard rating or change overnight scores in Discovery or Portfolio.

Does a higher score mean I should buy the stock?

No. A higher score means the configured analysis found a stronger overall signal mix at that point in time. It does not account for your circumstances and is not a buy or sell instruction.

Which named components sit inside the domain scores?

Each domain summarizes named components computed from their own evidence. Risk can score six categories: valuation, financial stability, volatility, profitability, predictability, and earnings integrity and governance. Fundamental includes an economic-moat assessment and fundamental momentum. Sentiment scores management tone from earnings call transcripts separately from news. Technical reads price levels and patterns.

What happens when a component does not apply to a company?

It is set aside and reported as not applicable rather than scored as neutral. The Beneish M-Score, for example, does not apply to every filing structure, and the moat and momentum assessments only adjust the fundamental read where the underlying evidence exists. Setting a component aside is a deliberate abstention, not a gap in coverage.

Why can two StockLens scores for the same stock differ?

Scores can differ when the analysis date, available inputs, time horizon, analysis focus, depth, or custom tuning differs. Compare scores only after checking those settings and the snapshot date.

See the methodology in context

Review an illustrative public snapshot with its score, ranked drivers, domain breakdown, date, and configuration.

Open the transparent example