Stock heat map

Stock heat map: compare companies in context

Buydy's stock heat map ranks large-cap equities by sector or industry percentiles so you can see relative strength at a glance. Cells show display percentiles; raw values stay available for inspection in tooltips and company detail.

Live today for large-cap equities only. ETFs are excluded from this view. Illustrations on this page are sample layouts, not live portfolio snapshots.

Sample stock heat map grid with percentile-colored cells for dividend yield, P/E, leverage, and price performance metrics
Sample visualization only. Live heat map cells show display percentiles vs sector or industry peers; raw values appear in tooltips and company detail.

A repeatable stock heat map workflow

  1. Choose a peer group

    Group by sector or industry so a dividend yield, P/E ratio, or growth signal is compared to relevant peers, not the whole market.

  2. Select the metrics that match your mandate

    Pick from dividend, valuation, leverage, profitability, and price-performance screens. Change the column set as your question changes.

  3. Read percentile color, then verify raw values

    Color encodes display percentile vs peers. Open company detail or tooltips to inspect the underlying raw metric before you add a name to a shortlist.

  4. Rank, threshold, and review outliers

    Use weighted averages, threshold filters, and top-company review to move from a broad scan to a focused list worth deeper research.

Signals you can compare on the stock heat map

Income and dividends

  • Dividend yield

    Current yield with sector percentile context so the same raw yield reads differently across industries.

  • Dividend growth windows

    Rolling growth metrics over 3M, 6M, and 1Y when dividend history is sufficient; blank when it is not.

Valuation and balance sheet

  • Price to earnings

    P/E and change metrics when EPS is positive and price history supports the calculation.

  • Debt and leverage

    Debt/equity and net debt/EBITDA screens with peer percentiles for capital-structure comparison.

  • DCF upside

    Model-based upside when fundamentals and price support a strict DCF run; blank or metadata when they do not.

Performance

  • Price change windows

    3M and 6M price performance vs sector peers to spot recent leaders and laggards without treating color as a buy signal.

  • EBITDA trend

    Profitability momentum screens when source fundamentals support the window.

What a stock heatmap shows that a screener does not

A screener answers "who passed my filters?" A heat map answers "who looks strong or weak across several dimensions at once within a peer group?" You keep both: filter to a universe, then compare percentile context side by side.

Compare stocks by sector and industry percentiles

Percentiles normalize comparison. A 3% dividend yield may be ordinary in one industry and unusually high in another. Sector and industry grouping keeps that context visible instead of flattening every name into one raw-number table.

How to use a stock heatmap without treating color as a buy signal

Green does not mean "buy." It means stronger vs the selected peer group on that metric. Use color to prioritize what to inspect next, then read raw values, fundamentals, dividend history, and data freshness before any decision.

What blank cells mean

A blank cell is not a hidden low score. It means Buydy could not calculate that metric precisely: missing fundamentals, insufficient dividend history, negative EPS for P/E, or a quality filter that excludes the value from percentile ranking. Treat blanks as coverage information.

Stock heat map vs stock screener

Most members filter first, then rank with percentile context. Neither tool replaces judgment or constitutes investment advice.

AspectStock heat mapStock screener
Primary questionWho looks relatively strong or weak across metrics in a peer group?Who matches my filter rules right now?
Best forComparing many names at once and spotting outliersBuilding and refreshing a defined universe or watchlist
Cell valueDisplay percentile vs sector or industry peersRaw or filtered metric values in a sortable table
Missing dataBlank cell; no invented fallbackBlank or omitted when calculation declines

Investor questions the stock heat map helps answer

Which names lead their sector on leverage and valuation at the same time?
Select the peer group, add debt and P/E columns, and scan for consistent percentile strength before opening company detail.
Did recent price weakness create a better relative setup or a genuine laggard?
Pair price-performance columns with profitability and dividend context so a red price tile is not read in isolation.
Where should I spend research time this week?
Use thresholds and ranking to shrink a large-cap universe to a short list, then verify evidence in the company view.

FAQ

What is a stock heatmap?
A stock heat map is a comparison grid that uses color to show how each company ranks on selected metrics relative to sector or industry peers. Buydy's version focuses on large-cap equities and display percentiles, with raw values available for verification.
Does the heat map use raw values or percentiles in each cell?
Cells show display percentiles vs the selected peer group. Raw metric values remain available in tooltips and company detail so you can verify what the color represents.
Should I group by sector or industry?
Sector grouping is broader and useful for first-pass scans. Industry grouping is tighter when you want closer peers. Switch groups when the question changes.
Why are some cells blank?
Blank means insufficient or excluded source data, not a silently assigned low score. Common causes include missing fundamentals, thin dividend history, or metrics that decline calculation under Buydy's precision rules.
How is this different from a stock screener?
Screeners filter a universe into a list. Heat maps help you compare many names across metrics at once within a peer group. Most workflows use both.
Is Buydy's stock heat map investment advice?
No. Buydy is a research workspace. Heat map colors show relative metric context; they do not tell you what to buy or sell.