Efficient Momentum Jurik Adaptive Channel

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

Thesis

The strategy bets that trends exhibiting high 'return-to-volatility' ratios (efficient trends) are more likely to persist and provide cleaner exits than high-volatility, chaotic movements. By entering only when price efficiency is high and exiting via adaptive volatility bands, the strategy seeks to capture the meat of a trend while avoiding the noise of late-stage volatility spikes.

Components

Annualized ROC / HV Ratios (regime) — Determines if the current price movement is 'efficient' (high return per unit of volatility), filtering out low-quality, high-noise environments.
Simple Moving Average (SMA) (direction) — Provides the primary trend direction to ensure entries align with the higher-order market bias.
GoldenChart MACD (entry) — Uses the momentum histogram to trigger entries when the price efficiency and trend alignment are confirmed.
Jurik Adaptive Envelope Bands (exit) — Uses a dual-window volatility distribution to provide an adaptive exhaustion target for profit-taking.
Kijun Sen Envelope (risk) — The midpoint provides a structural anchor, while the point-based deviation serves as a hard stop-loss and basis for position sizing.
Constant Range Channel (volatility_filter) — Acts as a secondary volatility filter to ensure the trade is initiated on a fresh breakout from a localized price 'step'.

Known failure conditions

The ROC/HV ratio remains consistently near zero, indicating a total lack of trend efficiency.
Price perpetually oscillates between Constant Range Channel boundaries without triggering MACD momentum.
High-frequency 'staircase' shifts in the Constant Range Channel during low-liquidity periods leading to over-trading.

Explore the full interactive blueprint with parameter ranges and evidence on WOBR StrategyVerse, or generate this strategy as an MT4/MT5 Expert Advisor with QuantMogul AI Engine (free download).