Master of Gold
- Uzman Danışmanlar
- Enrique Valeros Muriana
- Sürüm: 8.37
- Etkinleştirmeler: 15
Master of Gold is a portfolio-grade Expert Advisor built as a multi-family trading system under one unified risk and execution engine. Instead of depending on a single strategy that can underperform when market conditions change, it diversifies the decision-making across several independent strategy families (intraday and swing) that operate in parallel. Each family has its own logic, timeframes, and parameters, but every order is filtered, sized, and managed through the same professional-grade controls so the overall portfolio remains consistent, disciplined, and resilient.
At its core, the EA works as a signal-and-governance framework. Every family continuously scans the market on its dedicated timeframe and produces a directional signal only when its conditions are met. When a signal appears, the EA does not immediately trade. It first runs a strict global permission gate to confirm that trading is allowed in the current environment. This includes spread control, time filters, and an optional high-impact news block using the MT5 Economic Calendar. If any of these conditions are not acceptable, the trade is prevented regardless of how strong the signal may be. This is intentional: the system prioritizes execution quality and risk stability over forcing trades.
Once a signal passes the global gate, the EA applies portfolio risk logic before sending the order. Each family has its own risk allocation and stop-loss method, supporting both fixed-point and ATR-based stop sizing depending on how the family is configured. The system converts the chosen risk into a lot size by calculating the monetary risk at the stop-loss distance using the symbol’s contract specifications, tick size/value, and current pricing. It then applies safety constraints such as broker volume limits, symbol volume steps, and margin availability. The result is a position size that is mechanically consistent and aligned to the intended risk model, rather than an arbitrary fixed lot approach that can break when volatility changes.
Master of Gold also includes a directional exposure framework designed for professional risk control. The EA can enforce a net risk cap per direction (long and short) so the portfolio does not accumulate excessive exposure in one side of the market. If scaling is enabled, the system automatically reduces the next trade’s size to fit within the remaining risk budget instead of rejecting trades unnecessarily. This creates smoother portfolio behavior and prevents accidental over-leverage during active periods.
Execution behavior depends on the selected mode. In PROP mode, the EA is designed to be compliant with common prop-firm requirements by preventing opposite exposure and keeping the portfolio aligned to one net direction, avoiding contradictory positions and reducing the risk of violating rules related to hedging or opposing exposure. In OWN/HEDGE mode, if the trading account supports hedging, the EA can optionally place a controlled hedge-reducer position under strict limits. This is not a martingale and not an averaging-down mechanic. It is a defensive feature that can be enabled to partially reduce net portfolio risk when a swing position exists and an opposing intraday condition is detected, while still respecting strict additional risk budgets and conservative targets.
After entry, positions are managed using a consistent R-multiple framework so the logic remains proportional to the original risk of each trade. Break-even activates only after reaching a defined profit threshold in R, and when it activates the stop is moved to a protected level that locks a portion of that risk unit. Trailing logic begins only after a higher profit threshold is reached, and then advances the stop using R-based distances and steps rather than random point values. This keeps management behavior consistent across symbols, different quote precisions, and different volatility regimes.
A critical component of the EA is its trade-management safety layer, designed to remain stable under real-market conditions and stricter MQL5 Market validation environments. Stop modifications are protected with cooldown logic and “distance-to-market” checks to avoid repeated edits or placing stops too close to current price, which is one of the most common causes of failed modifications during fast markets, spread expansion, or freeze-level conditions. By preventing aggressive stop chasing and applying stronger clamping rules, the EA reduces the probability of modification errors and improves execution robustness.
To make the system transparent and easy to monitor, Master of Gold includes a professional on-chart dashboard. It displays the current market state, spread condition, news filter status, daily drawdown lock status, portfolio net direction, and directional net risk. For each strategy family, it shows whether it is enabled, what timeframe it is reading, what signal direction it currently detects, and a clear PLAN vs LIVE view. PLAN displays the intended entry/SL/TP and estimated risk for the next action, while LIVE displays real position parameters and estimated risk derived from the active stop-loss. This provides immediate visibility into what the EA is doing and why, without requiring external panels or manual interpretation.
For setup, optimization, and continuous improvements, we use Discord to share recommended set files, updates, and configuration guidance. This ensures users can load proven presets quickly, maintain consistency across versions, and stay aligned with ongoing development and refinements:
For transparency, a live account is linked to an official MQL5 Signals page so users can track real execution, monitor trade history, and evaluate performance on an ongoing basis:
Pricing is intentionally structured to reward early adopters. The current price is an early-stage entry point and it will increase progressively over time as sales grow, new releases are delivered, and the ecosystem expands. As the product matures, more users join, and the development roadmap is executed, the price will be adjusted upward accordingly. If you want the best value, the correct time to enter is early, before further milestones and demand-driven price increases are applied.
