Kumo-Stochastic Volatility Expansion Strategy

Family: trend_following · Regime: trending · Complexity: medium · Asset classes: Equities, Forex, Commodities · Timeframes: H1, H4, D1

Thesis

Market participants often push prices toward volatility extremes (Bollinger Bands) once a structural breakout (Ichimoku Kumo) is confirmed by broader trend (SMA) and momentum (Stochastic). This strategy aims to capture the momentum surge between the breakout and the volatility exhaustion point.

Components

• Indicator Sample (Template) (regime) — Used as a structural filter to ensure the strategy only operates on symbols with sufficient historical data (minimum bar count), preventing execution on 'fresh' or illiquid historical segments.
• Moving Averages (Multi-Method) (direction) — Provides a long-term directional bias; trades are only taken in the direction of the 200-period SMA to avoid counter-trend traps.
• Ichimoku Kinko Hyo (entry) — The Kumo (Cloud) breakout serves as the primary entry signal, representing a shift in market equilibrium and structural support/resistance.
• Bollinger Bands (Standard) (exit) — Used for volatility-based exit; the outer bands represent statistical extremes where trend exhaustion is likely.
• Average True Range (ATR) (risk) — Sets the stop-loss distance and determines position size based on current market volatility.
• Stochastic Oscillator (confirmation) — Confirms that momentum is aligned with the breakout and ensures the entry is not made during extreme overbought/oversold exhaustion.

Known failure conditions

• The strategy produces a high frequency of 'washout' trades where price breaks the Kumo but immediately reverses before reaching the Bollinger Band, suggesting the cloud is no longer acting as support/resistance.
• Realized volatility consistently exceeds the ATR-based stop distance during low-volatility regimes, leading to 'death by a thousand cuts.'

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