Relative Range

Updated daily · as of Jul 17, 2026

30-second guide

Glossary

Start here if the charts feel unfamiliar. Full construction details live on Methodology; legal framing on the disclaimer.

Data as of Jul 17, 2026 · Glossary

  1. 1. Pick a category (Sectors or Regions) or open the Heatmap.
  2. 2. Read the badge: Near lows / Near highs — that is where the fund sits in itshistory vs the S&P 500.
  3. 3. Use Movers for what shifted lately; Reports for a written pass three times a week.

Ratio vs S&P 500

Each ETF's closing price divided by SPY (or the site benchmark). A rising ratio means that ETF is outpacing the US large-cap market; a falling ratio means it is lagging. Absolute dollar levels are not the signal.

Own-history percentile

Today's ratio ranked among every trading day in that same ETF's trailing window (about a decade, or since inception). “Near lows (5%)” means lower than on 95% of those days — for that fund only. We never say one sector is “cheaper” than another.

Near lows / Near highs

Plain-language labels for the percentile. Left on charts = toward own lows; right = toward own highs. Parentheses show the exact percentage. This is a position in a range, not a valuation multiple and not a trade idea.

Extremes

Funds currently furthest toward their own lows or highs. Useful for scanning, not for ranking “best bargains across the market.”

Movers

Largest recent changes in that own-history percentile (about 1 week and 1 month). Drift inside a fund's range — not absolute return and not peer ranking.

Heatmap

All covered ETFs colored by own-history percentile. Cooler tones lean toward lows; warmer toward highs. Color is never a buy/sell signal.

Reports

Written notes on Mondays, Wednesdays, and Fridays that flag the biggest shifts within categories. Same data as the dashboard; narrative only.

Watchlist

Saved tickers in your browser (localStorage). Nothing is stored on our servers. Clear or edit anytime on the Watchlist page.

What we never claim

Cheap, expensive, undervalued, overvalued, buy, sell, or that one category is “better value” than another because its PE or percentile looks lower. Structural differences between regions and sectors are real — that is why each asset has its own history.