Feature
Stock heat maps that turn percentile context into priorities
Buydy's stock heat map helps you compare large-cap companies through sector-aware percentile ranks — so a strong signal in Utilities reads differently than the same raw number in Technology.
Read color as relative strength, not decoration
Raw metrics are useful, but they rarely explain peer context on their own. Buydy pairs raw values with sector and industry percentiles so you can see whether a dividend yield, valuation ratio, or growth signal is strong for its group. When source data is insufficient, cells stay blank instead of inventing values — missing data stays missing.
Move from scan to shortlist in one workflow
Use heat map color and rank context to find names worth deeper review, then open the company view to inspect fundamentals, dividend history, valuation metadata, and data freshness. The same metric definitions power the dashboard, email digests, and index views, so your weekly process stays consistent.
Connect heat maps to ETF screening and macro context
Heat maps work best alongside ETF screening and global index monitoring. Start with broad market context, narrow with filters, then use the heat map to prioritize outliers. Most members filter first, rank second, and verify evidence third.
FAQ
- Is the heat map based on raw values or percentiles?
- The heat map is designed around percentile context while still exposing raw metric values where available. That keeps comparisons fair across sectors and industries.
- Does Buydy hide missing data?
- No. When source data is insufficient, Buydy shows gaps instead of inventing values, so you can tell the difference between a weak signal and unavailable data.
- How is this different from a stock screener?
- Screeners filter a universe down to a list. Heat maps help you compare many names at once and spot relative strength within a peer group. Most investors use both — filter first, then rank with percentile context.