PVT-MACD Structural Momentum Trader

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

Thesis

The hypothesis is that volume-confirmed momentum shifts occurring near structural liquidity levels lead to high-probability trend extensions. By entering on a MACD histogram cross (momentum) only when the Price and Volume Trend (volume) is supportive, we filter out low-conviction price moves. Risk is managed by placing stops at recent liquidity extremes (market structure), and profits are maximized using a volatility-responsive trailing stop (UT Bot), assuming that trends persist until a volatility-adjusted breakdown occurs.

Components

• Indicator Workspace Template (SIBVIC) (regime) — Acts as the operational regime filter, restricting signal processing to the most recent price action to ensure structural relevance and computational efficiency.
• Price and Volume Trend (PVT) (direction) — Provides the directional bias; volume-weighted price movement confirms if a trend has institutional 'weight' behind it or is a low-liquidity anomaly.
• GoldenChart MACD (entry) — Triggers entries on histogram crossovers, ensuring that price velocity is accelerating in the direction of the PVT-defined bias.
• UT Bot Alerts (MQL5) (exit) — Serves as a volatility-adjusted trailing exit, capturing trend extensions while protecting against sudden reversals.
• Custom 004 Liquidity Map with Drawings (risk) — Defines the hard stop-loss levels based on the 20-period liquidity extremes (High/Low), grounding risk management in actual market structure.

Known failure conditions

• PVT remains flat or oscillates narrowly while price trends, indicating a breakdown in volume-price correlation.
• UT Bot 'AtrLen 1' creates a 'sawtooth' equity curve due to excessive sensitivity to minor retracements.
• Price consistently hunts 20-period liquidity levels (SL) before moving in the intended direction.

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