Unfortunately, Trailing Stop Management Function is unavailable
The code has been removed. However, the huge code base still remains at your disposal allowing you to find a suitable code.
Check out other MetaTrader 5 codes:
Asian Session Breakout / BhanuCodeLab
Asian Session Breakout identifies the price range formed during the Asian trading session and monitors how price behaves after that session ends. The Asian High and Asian Low remain extended until the end of the broker trading day. This makes the range useful as an intraday support-and-resistance zone during the European and US sessions. A compact dashboard displays the current range values, configured session time, breakout status, breakout confirmation method, and confirmation timeframe. The indicator does not open or manage trades. It provides market structure and breakout information for discretionary trading or EA development.
Footprint XRay (Order Flow Volume Delta)
An institutional-grade order flow and footprint chart indicator ported from Pine Script to MQL5. It dynamically deconstructs major timeframe bars using lower timeframe (LTF) historical tick/real volume to compute buy/sell volume delta at each price level. The indicator features automatic timeframe selection, Point of Control (POC) highlighting, Stacked Imbalances, extreme Absorption detection, Unfinished Business (UB) tracking with live mitigation, and real-time alert triggers.
Value Area Levels / BhanuCodeLab
Value Area Levels is a session-based Value Area indicator for MetaTrader 5. It calculates and displays Value Area High, Point of Control, and Value Area Low levels for the developing, previous, and historical profiles.
Interactive Supply and Demand Zone Trading Prototype
This release introduces a lightweight automated trading prototype built on top of the Interactive Supply and Demand Zone Manager framework. The framework allows traders to draw and manage their own supply and demand zones, while each zone maintains its own lifecycle, interaction history, and evolving state as market conditions change. The hybrid approach combines user-defined zones with automated monitoring, validation, and trade management. The strategy evaluates qualified zones through a structured decision process before generating trade actions. Detailed logging provides visibility into zone behaviour, allowing traders to study interactions and build their own approaches using the collected information.