StockSignal
How to use the screener to identify stocks exhibiting structural technical patterns through volatility, support, and accumulation signals.
The Question
How do I find technical structure patterns? Market structure analysis examines the conditions that precede significant price moves — periods of compression before expansion, support levels being tested, accumulation phases where informed participants build positions. The screener captures these structural states through stories that combine volatility, price position, and volume signals to identify when a stock's technical structure is at a potentially significant juncture.
What Market Structure Means
Market structure is the observable pattern of price action, volume, and volatility that describes a stock's current technical state. Markets alternate between periods of compression (tight ranges, low volatility, declining volume) and expansion (breakouts, high volatility, surging volume). They cycle through phases of accumulation (quiet building of positions), markup (trending moves), distribution (position unwinding), and decline.
The screener does not predict which direction a stock will move. Instead, it identifies the structural state — is the stock compressed and potentially ready for expansion? Is it near long-term support? Is it showing signs of accumulation? These structural observations describe conditions, not outcomes.
Key Signals
Volatility Squeeze
What it measures: A condition where price volatility has contracted significantly from recent norms. Volatility squeezes occur when a stock trades in an increasingly narrow range, often preceding a significant directional move. The squeeze itself contains no directional information — it identifies the compression, not the direction of the eventual expansion.
Data source: Measured from the contraction of Bollinger Bands, average true range, or similar volatility metrics relative to recent history.
Accumulation Distribution
What it measures: Net buying or selling pressure based on where the price closes within its daily range, weighted by volume. When a stock consistently closes in the upper portion of its range on higher volume, it suggests accumulation — participants are building positions. When it consistently closes in the lower portion, it suggests distribution.
Data source: Cumulative measure derived from daily close position within the high-low range, weighted by daily volume.
Long-Term Support Position
What it measures: The proximity of the current price to long-term support levels derived from multi-year price history. When a stock trades near its long-term support, it is at a price level that has historically attracted buying interest. The signal identifies the structural position without predicting whether support will hold.
Data source: Current price analyzed relative to historical support levels over 3-year and 10-year timeframes.
Stories That Emerge
Breakout Readiness
Constituent signals: Volatility Squeeze, Breakout Consolidation, Higher Lows Pattern
What emerges: When volatility is compressed, the stock is in a consolidation pattern, and it is forming higher lows (each pullback bottoms at a higher level than the last), the stock is in a structurally ready state for a potential breakout. The higher lows pattern within the compression suggests directional pressure building. This combination identifies stocks where the technical structure is coiled for movement.
Limits: Breakout readiness does not guarantee a breakout, and breakouts can fail — moving sharply in one direction only to reverse. The story identifies the setup, not the outcome. Many stocks that appear ready to break out simply continue consolidating.
Breakout Readiness
Stock showing consolidation patterns associated with potential breakout
Volatility Compression State
Constituent signals: Volatility Contraction, Bollinger Squeeze, Choppiness Index
What emerges: This story identifies stocks in the most extreme states of volatility compression. When multiple independent volatility measures — Bollinger Band width, volatility contraction metrics, and the choppiness index — all indicate compressed, range-bound conditions, the stock is in a structurally significant compression state. Historically, extreme compression tends to precede significant moves, though the direction and timing are unpredictable.
Limits: Volatility compression can persist for extended periods. A stock can remain in a squeezed state for weeks or months before any significant move occurs. The story identifies the state, not when or how it will resolve.
Volatility Compression
Stock with price volatility compressed across multiple indicators
Accumulation Phase Detection
Constituent signals: Accumulation Phase, Accumulation Distribution, Volume Price Trend
What emerges: When the accumulation phase signal is active, the accumulation-distribution line is rising, and the volume-price trend confirms net buying, the stock shows signs of systematic position building. This pattern is associated with informed participants gradually accumulating shares before a potential move higher. The combination of signals provides stronger evidence than any single volume metric.
Limits: Accumulation signals can produce false readings. What appears to be accumulation can be short-covering, index arbitrage, or unrelated institutional activity. The story identifies a pattern consistent with accumulation, not confirmed institutional intent.
Accumulation Phase
Stock showing accumulation characteristics across multiple indicators
Near Cycle Support / Near Regime Support
Constituent signals: Long-Term Support Position (3-year and 10-year variants)
What emerges: These stories identify stocks trading near their long-term support levels over different timeframes. Near Cycle Support uses a 3-year window; Near Regime Support uses a 10-year window. Stocks near long-term support are at prices that have historically attracted buying interest. The longer the timeframe, the more significant the support level — a 10-year support level represents a more deeply established structural floor than a 3-year level.
Limits: Support levels break. A stock near support may bounce or may break through to new lows. Historical support provides no guarantee of future support. Changes in the company's fundamentals, industry dynamics, or market conditions can render historical support levels irrelevant.
Near Regime Support
Price near the lower boundary of its 10-year structural range
Near Cycle Support
Price near the lower boundary of its 3-year cycle range
Using the Screener
Technical Setup Screen
Select Breakout Readiness to find stocks with the most structurally coiled technical setups — compressed volatility with directional pressure building. For the most extreme compression states, use Volatility Compression State instead, which focuses specifically on volatility extremes without requiring directional patterns.
Support and Accumulation Screen
Select Near Cycle Support or Near Regime Support to find stocks near long-term support levels. Combine with Accumulation Phase Detection to filter for stocks where buying pressure is building near support — a combination suggesting potential support confirmation through active accumulation. This identifies stocks where technical structure and participant behavior may be aligned.
Boundaries
What This Cannot Tell You
Market structure signals describe the current technical state of a stock. They do not predict future price movements. Breakout setups fail. Support levels break. Accumulation patterns can be misidentified. Technical analysis identifies conditions and probabilities, not certainties.
Market structure signals contain no fundamental information. A stock can be at structural support while its business deteriorates, making the support level unreliable. Technical structure and business fundamentals are independent dimensions that should be analyzed separately and together, not in isolation.
These patterns also reflect historical price behavior, which may not be relevant in changed circumstances. A support level established during one economic regime may not hold during a different one. Market structure analysis assumes some degree of behavioral consistency among market participants, which is not guaranteed.