Learn how to interpret stock heat map colors, percentile ranks, and missing cells so you can turn visual scans into a defensible research shortlist.
A heat map is useful when color answers one question: where should research attention go next?
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A stock heat map is a comparison grid that helps you rank many companies on selected metrics at once. Each cell should answer a narrow question: how does this metric compare to relevant peers? Used well, a heat map turns a wide universe into a short list worth deeper research. Used poorly, it becomes decoration: pretty colors that reward recent momentum and hide missing data.
This guide explains how to read stock heat map colors, percentile ranks, and blank cells so you can build a repeatable workflow inside Buydy or any disciplined research process.
At a high level, a stock heat map rows companies and columns metrics (dividend yield, price to earnings, debt ratios, price change windows, and similar). Color or rank encodes relative standing within a peer group so you can spot outliers without reading every raw number in isolation.
That is different from a single sortable table or a price chart:
Neither format tells you what to buy. Both help you prioritize attention.
Buydy's live stock heat map compares large-cap equities with sector or industry percentile context. Raw metric values remain available in tooltips and company detail. ETF tickers are excluded from this view; fund research belongs on the ETF screener and, when you need equity context, on underlying holdings pulled from a fund shortlist.
Buydy pairs display percentiles with raw values so you can see both the number and its relative context. When source data is insufficient, cells stay blank. That is intentional: missing data is coverage information, not a silently assigned weak score.
Before reading color, confirm which peer group applies. A dividend yield that looks high in isolation may be ordinary for Utilities and unusual for Technology. A low P/E may be common in Financials and rare in Software.
In Buydy, percentile context is computed within sector and industry groups:
| Peer group | Best for |
|---|---|
| Sector | Broader first-pass scans across a familiar segment |
| Industry | Tighter comparison when you want closer operational peers |
Greener cells generally mean stronger relative standing for that metric within the selected peer set. That is not an automatic buy signal. It is a prioritization cue: this name deserves a closer look on this dimension.
Switch peer groups when the question changes. Screening for dividend income within Utilities is a different task than comparing two semiconductor names on leverage.
Raw metrics answer "what is the number?" Percentiles answer "how unusual is it for this group?"
Use this order every time:
If a cell is blank, treat it as insufficient or excluded source data. Common causes include missing fundamentals, thin dividend history, negative or unusable EPS for P/E, or metrics that return null under Buydy's precision rules. Buydy does not invent fallback values when history or fundamentals are too thin.
Sector performance grids show which segments led or lagged over a window. They help with rotation context. A company stock heat map ranks individual issuers vs peers on fundamentals. Use sector context to frame the week; use company percentiles to rank your watchlist.
Buydy's stock heat map supports several metric families. Pick columns that match your mandate, then keep the set stable week to week so changes compound.
Income and dividends
Valuation and balance sheet
Price performance
Reading these together reduces single-metric mistakes. A strong yield percentile with rising leverage and weak growth percentiles tells a different story than yield alone.
After scanning, write down three to five names that deserve the next hour of research. For each, note:
This is where the stock heat map landing page connects to workflow: scan broadly, narrow deliberately, inspect evidence before any portfolio decision.
For tool-selection context, read stock heat map vs stock screener. For fund workflows, see what is an ETF heat map.
Heat maps compare; they do not replace macro framing or fund selection.
A practical weekly loop:
For a full cadence template, see weekly market research workflow. Dividend-focused readers may also use dividend research workflows before returning to percentile ranks on the grid.
Daily noise fades; weekly cadence compounds. Return to the same universe, same metric set, and same review order. Note what changed in percentile ranks; that delta often matters more than a single static snapshot.
Each week, note which names moved on your key columns, whether blanks cleared or new gaps appeared, and which ideas survived company detail review.
Start with the peer group (sector or industry), then read each cell as a percentile rank within that group, not an absolute good or bad score. Confirm raw values in tooltips, treat blanks as missing data, and use the grid to prioritize which names deserve filing work next.
A stock heat map is a visual grid that compares companies on selected metrics at once, usually with color or rank showing relative standing within a peer group. It helps prioritize research; it does not replace due diligence.
Colors encode display percentiles vs sector or industry peers for each metric. Greener generally means stronger relative standing within that peer group. Always confirm the peer group and read raw values before acting.
Start with sector for broader scans. Switch to industry when you want tighter peers (for example, comparing semiconductor equipment names rather than all Technology). Change grouping when the research question changes.
Blank means insufficient or excluded source data, not a hidden low score.
No. The stock heat map covers large-cap equities only. Use the ETF screener for funds and the equity grid for underlying holdings when needed.
Stock heat maps compare companies; ETF workflows compare funds. Buydy's equity percentile grid and ETF heat map are both live. See what is an ETF heat map.
No. These are research workflow notes. Portfolio decisions remain yours.
Research summaries, not investment advice.