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Methodology: Current constituents, not point-in-time membership. History starts 2019-04-09 and can carry survivorship or constituent-change bias.

S&P 500 RSI Extremes

This chart shows whether participation beneath the index is broadening, narrowing, or starting to diverge from the headline move.

Daily · through Oct 20, 2026
Data & methodology
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Older events · Members

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The latest series values and a keyboard-readable date table are below the chart. CSV and JSON downloads are for NASDUCK paid members.

Dates & readable data

Raw values in the selected chart window

Selected historical events

Curated anchors for market context, rather than a complete news feed. Toggle markers above to place them on the chart.

Mar 16, 2020 COVID panic across global markets
Mar 16, 2022 Fed starts its fastest hiking cycle in four decades
Mar 10, 2023 Silicon Valley Bank fails and sparks a banking scare
Sep 18, 2024 Fed starts cutting with a half-point move
Nov 6, 2024 Trump wins the election: stocks, the dollar, yields, and bitcoin jump
Apr 3, 2025 Liberation Day tariffs trigger a global crash; the April 9 pause sparks a record rebound
Oct 10, 2025 Trump threatens 100% tariffs on China; crypto sees record liquidations
Feb 28, 2026 US and Israel strike Iran; Hormuz traffic halts and oil has its biggest month since 1988
Apr 8, 2026 US-Iran ceasefire sends oil sharply lower
Jun 5, 2026 Chip rout and a hot jobs report revive rate-hike fears; Nasdaq's worst day since April 2025

How To Read It

  • Rising breadth means more stocks are participating; falling breadth means leadership is narrowing.
  • If the index is strong while breadth weakens, concentration is likely doing more of the work.
  • Extremes matter most when they reverse, because that is when internals begin to confirm or reject the headline move.
Next step This chart shows the market. Dig for Stocks picks the stocks.

Breadth and sector charts tell you the weather. They just can't tell you which stock to hold for the next 10 days - that's the whole job of the Dig for Stocks algorithm.