InsightsWeekly Chart Note

Charting the Course

Signal vs. Noise: A fifth relative extreme in small-cap versus large-cap growth puts market leadership and risk appetite in focus.

September 9, 20263 min read

Chart of the Week

Russell 2000 Growth vs. Russell 1000 Growth

Five stars, four turns, and a fifth star that just printed. That's our chart of the week from last week's session: the Russell 2000 Growth versus Russell 1000 Growth ratio going back to 2014 with stars marking each 150-day relative extreme. The theme of the week was “Signal vs. Noise,” and this chart sits firmly in the signal column.

Daily chart of Russell 2000 Growth relative to Russell 1000 Growth from 2014 through September 2026, with fast and slow smoothed trends and five stars marking 150-day relative extremes.
Russell 2000 Growth relative to Russell 1000 Growth, daily with smoothed trends and 150-day relative extremes. Source: Significance Capital Management. Data as of September 2026.

Here's the part worth sitting with. The first four stars each marked the top in small versus large almost perfectly. Mid 2015, late 2016, early 2021, late 2022. Different markets, different backdrops, same result. Small caps' moment of maximum strength against large caps was also the moment it ended. And the outcomes for the broader market alternated, negative, then positive, then negative, then positive. The common thread is simpler than it looks. Whatever trend was running hot into the extreme is the trend that got reversed.

That fifth star is the one we care about now. We've already seen small caps back away from it, and one of our higher conviction views from here is that small caps are likely to lag large caps going forward. What that means for the whole market is genuinely two sided. If mega caps take the baton, and their long-term base breakout looks constructive, you could get a narrower advance that still carries the indices higher. If instead this is another peak in risk appetite, and we think the peak in risk taking for this cycle is likely behind us either way, then the defense matters more than the offense from here. We're watching the cyclicals for the tiebreaker since past momentum unwinds have tended to show up close to cyclical peaks.

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Technical trading models are mathematically driven based upon historical data and trends of domestic and foreign market trading activity, including various industry and sector trading statistics within such markets. Technical trading models, through mathematical algorithms, attempt to identify when markets are likely to increase or decrease and identify appropriate entry and exit points. The primary risk of technical trading models is that historical trends and past performance cannot predict future trends, and there is no assurance that the mathematical algorithms employed are designed properly, updated with new data, and can accurately predict future market, industry, and sector performance.

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