SPY vs 200-Day SMA
L2 — IndicatorsSPY +10.3% vs its 200-day SMA — Comfortably above trend
L2: Indicators · Signal 42 of 27
What This Signal Tells You
Imagine your car’s dashboard suddenly showing only one out of ten warning lights working, even though the engine is sputtering and the road ahead is rough. When the percentage of stocks rising above their long-term average begins to fall, it signals that the market’s internal engine is losing power even if the main index price still looks strong. This divergence often precedes a shift from broad expansion to a fragile state where only a few large companies are propping up the entire system. For investors, this early warning suggests that relying solely on the headline number is dangerous and that the probability of a wider market correction is increasing.
TIER 5: SENTIMENT & POSITIONING
How it works
Price and its own 200-day average are two lines that drift apart in trends; which side price sits on — and how far — is the simplest health check there is.
The history
Historical series being assembled — this signal has no archived daily series yet. The chart renders automatically once 60 observations exist; the live reading above is current either way.
Market Breadth
% Stocks Above 200-Day MA & Participation Health
Published:
February 23, 2026 |
Category:
Market Indicators |
Reading Time:
9 minutes
The Foundation: Dow Theory and Breadth Analysis
Long before computers could calculate breadth statistics in real-time, stock market analysts relied on advance/decline ratios as their primary tool for diagnosing market health. The principle behind breadth analysis predates modern finance by over a century, rooted in the work of Charles Dow, who observed that market advances must be confirmed by broad participation across many stocks.
Dow’s central insight remains valid: if an index rises while the majority of stocks within it decline, that index movement is fragile and ultimately unsustainable. He coined the famous aphorism that “the market is only as strong as its generals”—and if those generals are advancing while the army of rank-and-file stocks retreats, victory is an illusion.
During the twentieth century, breadth analysis was conducted manually: analysts would tally advancing versus declining issues from newspaper data. The Advance/Decline Line was calculated by adding advancing issues and subtracting declining ones, creating a cumulative index of broad participation. This tedious process revealed itself as invaluable during market turns.
Evolution: From Manual Tallies to Real-Time Scanning
The computerization of stock data in the 1970s and 1980s transformed breadth analysis from a laborious statistical exercise into an instantaneous diagnostic. Modern technical analysts can see in seconds what took previous generations hours to calculate by hand. This efficiency also enabled a shift from simple advance/decline ratios to more sophisticated measures of breadth.
One of the most useful modern breadth metrics is the percentage of stocks trading above their 200-day moving average. This measurement elegantly captures:
- Trend Health: Are most stocks in uptrends or downtrends?
- Participation Breadth: Is the market broadening or narrowing?
- Concentration Risk: When breadth declines while indices rise, mega-cap dominance is masking deterioration
The 200-day moving average is chosen because it represents approximately 40 weeks of trading data—long enough to filter daily noise but short enough to remain responsive to intermediate trend changes. A stock above its 200-day MA is, by definition, in an intermediate-term uptrend.
The Mechanics of Breadth Measurement
What the Percentage Actually Captures
The breadth metric is calculated as:
(# of stocks above 200-day MA / Total # of stocks) × 100
For U.S. equity markets, this calculation typically uses the Russell 3000 (3000 largest U.S. companies) or the S&P 500 (500 largest), depending on the data provider. The Russell 3000 provides a more complete picture of market participation, while the S&P 500 focuses on large-cap quality.
The metric’s interpretive framework is straightforward but powerful:
Breadth above 70%:
Healthy broad market. The vast majority of stocks are in uptrends. Index advances are supported by widespread participation. This is the environment where rallies are most sustainable and rotation risk is lowest.
Breadth 50-70%:
Moderate participation. The market is advancing, but not all stocks are benefiting equally. Some sectors or market segments are lagging. This is a normal mid-range environment where some selectivity is required but broad risk is not yet elevated.
Breadth 30-50%:
Narrowing participation / Warning zone. The index is holding up or advancing, but the majority of stocks are below their 200-day MAs. This is a classic divergence setup: mega-cap concentration is masking broad deterioration. This pattern has preceded almost every significant correction in the past 30 years.
Breadth below 30%:
Crash regime. Less than one-third of stocks are in uptrends. The market is essentially in a downtrend despite what the headline index might suggest. Forced selling and liquidation are likely active. This extreme reading has preceded or coincided with Phase 3 (Forced Liquidation) events.
The Concentration Risk Problem
The power of breadth analysis is that it forces recognition of something markets often obscure: an index can rise while most of its components decline. This happens when the largest positions (which have the most weight in price-weighted or market-cap-weighted indices) advance dramatically while smaller positions retreat.
The canonical modern example is the 2020-2024 period, where the “Magnificent Seven” mega-cap tech stocks (Microsoft, Apple, Google, Amazon, Nvidia, Meta, Tesla) powered index returns to all-time highs. Meanwhile, breadth—the percentage of S&P 500 stocks above the 200-day MA—deteriorated to 52% by June 2024.
This divergence is not accidental. It’s the natural result of:
- Liquidity Concentration: Mega-cap stocks are most liquid, attracting institutional flows
- Narrative Dominance: Tech dominance during AI/digitization trends creates a “pick a winner, ignore the rest” dynamic
- Index Momentum: As mega-caps rise, they gain weight in indices, creating mechanical buying pressure
- Liquidity Illusion: Investors believe they can exit any position at any time, when in reality exit liquidity is concentrated in the largest names
This concentration creates fragility: if those mega-cap names face redemption or revaluation pressure, the liquidity supporting the broader market evaporates instantly.
Current Status — February 2026
Breadth (% Stocks > 200-Day MA)
52%
Market breadth has deteriorated from its June 2024 peak of 68% to 52% as of February 2026. This narrowing represents a critical structural concern. While the index is being carried higher by concentration in mega-cap names, the breadth of participation is declining. Less than half of traded stocks are in uptrends, indicating that gains are increasingly dependent on a shrinking subset of market leaders.
The Deterioration Pattern
The breadth decline from 68% (June 2024) to 52% (February 2026) represents a 16-percentage-point deterioration over 8 months. This is not a gradual reversion; it’s a steady degradation of market participation. The trajectory suggests that:
- The June 2024 peak in breadth coincided with the moment when the broadest array of stocks was participating in the rally
- Since then, participation has narrowed each month, with fewer stocks in uptrends despite index strength
- The current 52% reading sits precisely at the midpoint—below “healthy” (70%) but above “danger” (30%)
At 52%, breadth is in the “narrowing participation / warning zone.” This is the dangerous middle ground where index strength masks deteriorating participation. It’s also the most predictive zone for imminent Phase transitions.
Critical Warning: The Concentration Trap
With 52% of stocks above their 200-day MAs, the index is being propelled by a minority of large-cap stocks. The Mag-7 (Microsoft, Apple, Google, Amazon, Nvidia, Meta, Tesla) represents approximately 30% of S&P 500 weight. If these names face revaluation, index-level liquidity evaporates because there’s no broad participation underneath to absorb selling.
Historical precedent: Similar breadth-index divergences preceded the 2000-2002 tech crash and the August 2015 liquidity crisis. In both cases, narrow leadership (concentrated in hot sectors) suddenly became unsustainable.
Phase Mapping: Breadth as Structure Health Detector
Phase 0: Post-Crisis Accumulation
Typical Breadth: 35-50%, rising
Recovery from a crisis begins with low breadth because early buying is concentrated in the most depressed (and therefore most discounted) names. As confidence rebuilds, breadth gradually expands as more names move into uptrends. By the end of Phase 0, breadth is approaching 60-65%.
Phase 1: Liquidity Illusion
Typical Breadth: 65-75%, stable
True Phase 1 is characterized by healthy, broad-based participation. The majority of stocks are in uptrends, supporting the narrative of a “healthy market advancing on broad shoulders.” This breadth health is what gives investors confidence to load up on leverage.
Current breadth of 52% is inconsistent with true Phase 1 dynamics. Either we’re in late Phase 1 (breadth already narrowing) or the “Phase 1” label is mischaracterized.
Late Phase 1 → Phase 2 Transition
Breadth: 60-50%, declining month-over-month
The critical warning signal is not breadth hitting 50%, but rather breadth consistently failing to recover above 60%. In a healthy Phase 1 rally, dips that lower breadth to 55-60% are quickly reversed as participation expands again. When breadth fails to recover and instead drifts lower week after week, Phase 2 is forming.
Key signal: Breadth that declines below 55% and fails to recover for 3+ weeks indicates Phase 2 is likely active.
Phase 2: Crack Formation
Breadth: 50-30%, deteriorating
As liquidity begins to strain under the weight of concentrated positions, breadth collapses. Increasingly, the index is held up by an ever-narrowing set of stocks while the “army” of rank-and-file names retreats. At 52% breadth, we’re at the entry point to Phase 2’s most dangerous zone.
The psychology shifts from “this rally is healthy and broad” to “this rally is getting narrow, maybe I should de-risk.” This is when hedge buying emerges and margin stress begins to mount.
Phase 3: Forced Liquidation
Breadth: 20-40%, no stabilization
In full panic mode, breadth can collapse to single-digit percentages as nearly all stocks enter downtrends. The breadth reading becomes an irrefutable indicator that systematic selling is occurring. Index strength (if any) is illusory—supported only by a handful of mega-cap names being propped up by mechanical buying (passive inflows, buyback programs).
At these extreme breadth levels, even the Magnificent Seven typically begin to crack as margin calls and forced selling hit their heaviest concentration.
Phase 3 → Phase 4 Transition
Breadth: Washout to <20%, rapid recovery to 35-45%
The capitulation point is marked by an extreme breadth reading (<15%) followed by a sudden reversal. Sophisticated investors begin accumulating at despised prices, and breadth expands rapidly as value hunters move in. Within 2-3 weeks, breadth can move from 15% to 40%—a signal that Phase 4 accumulation is underway.
Phase 4: Reset/Accumulation
Breadth: 40-60%, gradually improving
Recovery is characterized by slowly expanding breadth. Rather than jumping immediately back to 70%+ levels, breadth grinds higher from the 40% lows, reflecting cautious rebuilding of positions and confidence. The gradual nature of Phase 4 breadth recovery is what distinguishes it from Phase 1’s rapid confidence building.
By the end of Phase 4, breadth has returned to 65%+ levels, setting the stage for transition back to Phase 0 or Phase 1 (depending on whether new value is available or if markets have rerated to “normal” valuation levels).
Breadth as the “Generals Without an Army” Diagnostic
The famous Dow Theory aphorism resurfaces with particular clarity when breadth is analyzed through the five-phase lens. A market with 52% breadth is literally “generals without an army”—the largest stocks (the generals) are advancing, but the rank-and-file (the army) has largely surrendered to downtrends.
This situation is inherently unstable. Armies cannot sustain advances for prolonged periods when the majority of troops are retreating. Eventually, either:
- The generals are overwhelmed: The concentration of selling in mega-cap names becomes so intense that even their weight can’t sustain index advances. This is the Phase 2 to Phase 3 transition.
- The army rallies: Value hunting in depressed names sparks a breadth expansion and confirms that the rally is on sustainable footing. This would be an early Phase 4 signal.
Actionable Insights for February 2026
- Concentration Risk Acknowledgment: At 52% breadth, investors must acknowledge that they’re positioned in a concentration play, not a healthy broad-based market. Portfolio construction should reflect this reality through appropriate hedging.
- Breadth Floor Monitoring: Watch whether breadth can hold above 50% in coming weeks. A drop below 48% would signal accelerating Phase 2 dynamics. Conversely, expansion back above 60% would suggest Phase 1 is being renewed.
- Dispersion Trading Opportunity: The gap between mega-cap performance and broad market performance is significant. Strategies that short mega-cap concentration while buying broader exposure (or vice versa) are positioned for the eventual mean reversion.
- Sector Rotation Importance: With overall breadth low, rotation into depressed sectors (value, small-cap, financials) becomes increasingly important. Breadth expansion typically begins with breadth leading in these areas.
- Rebalancing Risk: Portfolios overweighting mega-cap (which the S&P 500’s market-cap weighting naturally does) are concentrated in the names carrying the entire market. Rebalancing toward broader exposure is prudent risk management.
Disclaimer: This analysis is for informational purposes. Breadth analysis provides structural diagnostic information but does not predict precise timing. Markets can remain in unhealthy structural states (narrow breadth) for extended periods. Position sizing and risk management remain essential.
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Educational content. Not investment advice; past patterns do not guarantee future results. Signals identify regime environments, not exact timing or magnitude.