PortfolioGood
- エキスパート
- バージョン: 3.0
- アップデート済み: 11 8月 2026
- アクティベーション: 5
PortfolioGood — Professional Automated Trading System
PortfolioGood is a fully automated trading system designed for consistent long-term growth. Built with strict risk management principles, this Expert Advisor completely avoids dangerous money management techniques, providing a robust solution for institutional and retail traders alike.
The strategy is not a scalping system , meaning it does not rely on ultra-fast trades and is not sensitive to spread or slippage , ensuring stable results even under varying broker execution conditions.
📊 Normal Mode Performance Metrics (Updated from Backtest)
- Initial Deposit: $10,000.00
- Total Net Profit: $328,699.61
- Average Annual Profit: 328.69% per year 🚀
- Gross Profit: $565,512.32
- Gross Loss: -$236,812.71
- Profit Factor: 2.39
- Recovery Factor: 3.81
- Sharpe Ratio: 2.45 (High risk-adjusted return)
- Maximal Equity Drawdown: 23.56% ($86,243.15)
- Total Trades: 393 positions (Win rate: 68.70%)
💎 Key Features
- No Martingale / No Grid: Every trade is strictly managed. The strategy does not stack trades against the trend or multiply lot sizes to recover losses.
- Multi-Asset Capability: Engineered to trade across diverse financial instruments, creating a well-balanced portfolio that dilutes asset-specific risks.
- Fixed Capital Allocation: Risk is tightly controlled using a fixed capital structure per position. Your account is never over-exposed to market black swan events.
🛠️ Client Setup Instructions
- Open your MetaTrader 5 platform.
- Go to the Market Watch window, right-click anywhere inside it, and select "Show All" .
- Mandatory Requirement: Ensure that your Market Watch list includes stocks and strictly contains the following symbols: GOOGL, V, KO, MCD, XOM, JNJ .
- Open a GOOGL chart and set the timeframe to H1 (1 Hour).
- Drag and drop the PortfolioGood EA onto the chart and adjust the inputs to your preferred risk mode.
🔥 Aggressive Mode Performance Metrics (Compounding Potential)
For traders seeking maximum capital growth, the Aggressive Mode unlocks the full compounding potential of the strategy:
- Initial Deposit: $1,500
- Total Net Profit: $154,126.41
- Average Annual Profit: 1,027.5% per year 🚀
- Profit Factor: 2.28
- Sharpe Ratio: 1.50
- Recovery Factor: 3.71
- Maximal Equity Drawdown: 74.28% ($4,703.98)
Note: This mode is designed for high-risk tolerance accounts looking for exponential growth using the exact same robust multi-asset logic, but with increased risk parameters.
Past performance does not guarantee future results. Trade responsibly.
The Pattern/Random Method: A New Method for Building Expert Advisors (EA)
After a decade of intense study, during which I attended hundreds of online and live courses, I realized a surprising truth. I learned from a vast range of mentors—from university economics professors in the EU and UK to popular YouTube educators. The conclusion was always the same: their systems were incredibly complex, yet their actual trading results were poor.
Frustrated by over-optimized strategies that fail in real market conditions, I developed my own proprietary framework for building Expert Advisors. It is called the Pattern/Random Method . This approach splits the architecture of an EA into two core components: The Engine and The Accessories .
Structural Components
1. The Engine
- Definition: The core algorithmic nucleus of the trading strategy.
- Function: Detects the approximate structural footprint of algorithms used by Market Makers and institutional funds.
- Purpose: Provides a raw statistical edge powerful enough to keep the EA profitable on its own, without any extra filtering.
2. The Accessories
- Definition: Secondary layers of analysis built on top of the core engine.
- Elements: Technical indicators, candlestick patterns (price action), strict Stop Loss / Take Profit rules, and time filters.
- Purpose: They do not create profitability; they merely optimize, fine-tune, and enhance the performance of the pre-existing Engine.
Why This Method Works
Most traders fail because they try to build systems using only "Accessories," hoping a complex combination of indicators will predict the market. The Pattern/Random Method prioritizes institutional logic (The Engine), using market mathematics to its advantage, while the accessories simply serve to reduce drawdown and maximize efficiency.
