Aggregate Force MTF Trend Catcher

Family: trend_following · Regime: trending · Complexity: medium · Asset classes: FX (Majors), Equities, Indices · Timeframes: M30, H1, H4

Thesis

Market trends are most exploitable when shorter-term price force (Average Force) aligns with medium-term momentum (CCI) and long-term moving average structure (MTF Dashboard). By entering when these three independent mathematical models of price converge, we identify high-probability impulse legs within a trend, while using structural daily levels (Daily High/Low) to define clear, objective risk boundaries.

Components

• Multi Timeframe Moving Average Dashboard (regime) — Establishes the macro trend by ensuring the faster MA (20) is on the correct side of the slower MA (50) across both the execution and higher timeframes.
• CCI / Connectable [Azullian] (direction) — Provides a directional momentum filter to ensure entries are only taken in the direction of established cyclical strength.
• Average Force (entry) — Acts as the final trigger; the zero-line cross identifies the moment short-term momentum aligns with the macro trend.
• QQE (Qualitative Quantitative Estimation) (exit) — Captures the exit by detecting momentum exhaustion via the RSI/Trailing Band crossover.
• Daily High Low MTF (risk) — Defines structural support and resistance levels for stop-loss placement and risk-to-reward calculation.

Known failure conditions

• The strategy will fail in tight ranging markets where Average Force whipsaws around the zero line.
• Loss of data synchronization for MTF indicators leading to stale regime signals.
• Trend exhaustion occurring immediately after the SMA stack aligns (late entry due to MA lag).

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