Trading Systems

The Complete Guide to AI-Hybrid Trader: Mastering Your Intelligent Trading System

18 August 2025, 16:18
Catur Cipto Nugroho
Catur Cipto Nugroho
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The Complete Guide to AI-Hybrid Trader: Mastering Your Intelligent Trading System


Welcome to the AI-Hybrid Trader family!

You have just acquired one of the most advanced Expert Advisors available. The purpose of this guide is to help you understand the philosophy behind it, the power of its features, and how to use it to its full potential. Let's get started

Core Philosophy: Adaptation is the Key to Success

The greatest strength of the AI-Hybrid Trader lies in a single word: adaptation. We designed it not as a rigid set of "if-then" rules, but as an entity that can learn and adjust. This is achieved through three core pillars: Sophistication, Strength, and Security.

  1. The Pillar of Sophistication (The AI Brain): At the heart of this EA is a two-layer AI system working in synergy:

    • Predictive Neural Network (NN): Think of this as your market analysis team. The NN is trained to recognize complex patterns in price movements that are often missed by standard indicators, providing a "predictive" outlook on where the price is likely to go.

    • Reinforcement Learning (RL) Q-Network: If the NN is the analyst, the RL is the strategic portfolio manager. It doesn't care about predictions; it cares about results. After each trade is closed, the RL analyzes the outcome (profit or loss) and learns. Over time, it gets better at answering the crucial question: "Given the current conditions, will taking this trade maximize my long-term profitability?"

  2. The Pillar of Strength (The Adaptive Engine): This is what makes the EA truly alive. The Adaptive Engine constantly monitors the market's "personality." It knows when the market is in a strong trend, when it's moving sideways (ranging), and when it's wild and unpredictable (volatile). Based on this detection, it automatically adjusts the EA's internal parameters, such as risk tolerance and profit targets.

  3. The Pillar of Security (Your Safety Net): Long-term profitability is impossible without robust capital protection. We've built in multiple layers of security, including the Circuit Breaker (automatic loss limits), a News Filter, and solid Risk Management.


A Promise of Honesty: No "History Reading"

Before we dive into the details, it's important for us to address one thing: honesty in backtesting.

Many traders have experienced the disappointment of an EA that shows incredible backtest results but fails completely in a live account. Often, this is because the EA "cheats" by "reading history" or peeking at future data during the backtest—something impossible in the live market.

AI-Hybrid Trader is designed to be 100% honest.

This EA never peeks into the future. Our advanced feature, MODE_TRAIN_AND_SAVE, is proof of this. It allows you to train the AI model on one time period (e.g., 2022) and then test it on a completely different, unseen time period (e.g., 2023). This is a true forward-testing methodology.

This means the backtest results you see are an honest and reliable representation of how the strategy will behave in a market it has never seen before.


The Complete Guide to Input Parameters

Let's break down each setting so you can tailor the EA to your trading style.


Group: Strategy Settings

  • InpBacktestMode: (Advanced Feature for Professional Testing!) This gives the EA a specific "task" when running in the Strategy Tester.

    • MODE_TRADING: The standard mode. The EA will trade normally, loading an existing model if available or performing an emergency training if not.

    • MODE_TRAIN_AND_SAVE: A special mode. The EA will not trade. Its only job is to learn from all the historical data in your specified period, create an AI model, save it to a file, and then stop.

  • MagicNumber, TradeComment, ShowInfoPanel: Basic settings for order identification and display.


Group: AI Core Settings

This is the control center for the EA's "brain." The default settings are already optimized, but advanced users can experiment.

  • RL_LearningRate: Controls how quickly the RL engine learns from new trades.

  • RL_DiscountFactor: Determines the AI's focus. A value close to 1.0 (e.g., 0.99) makes the AI prioritize long-term gains. A lower value (e.g., 0.85) makes it focus more on the immediate profit of the next trade.

  • Hybrid_Weight_NN: Sets the balance between the two AI engines. A value of 0.7 means 70% of the final decision comes from the predictive NN analysis, and 30% comes from the proven RL strategy.

  • EnableDynamicAdaptation: The master switch for the Adaptive Engine. Keeping this true is highly recommended.


Group: Genetic Optimizer Settings
This feature is exclusively for optimization in the Strategy Tester, allowing you to automatically find the best combination of AI parameters.


Group: Risk Management

  • RiskMode: Choose your lot sizing method.

    • RISK_FIXED_LOT: Uses a fixed lot size that you define.

    • RISK_AUTO_LOT_ATR: (Recommended) Dynamic lot sizing based on your risk percentage (RiskPercent) and market volatility (ATR).

  • RiskPercent: The percentage of your equity you risk per trade (e.g., 1.0 means 1% of equity).

  • MaxLotSize / MinLotSize: Safety limits to keep lot sizes within a reasonable range.

  • MaxSpread: Protects you from poor market conditions. The EA will not open a trade if the current spread (in points) is higher than this value.


Group: Stop Loss & Take Profit

  • StopLossMode / TakeProfitMode: Choose how SL/TP is calculated.

    • SL_ATR_BASED / TP_ATR_BASED: (Recommended) Dynamic SL/TP that adapts to market volatility.

    • TP_RISK_REWARD: Places the TP based on your defined risk-to-reward ratio.

  • RiskRewardRatio: Your desired profit-to-loss ratio (e.g., 2.0 means the profit target is 2x the stop loss distance).

  • ATR_SL_Multiplier / ATR_TP_Multiplier: The multiplier for the ATR value. E.g., 1.5 means the SL will be placed at 1.5 times the current ATR value.


Group: Trade Management (Exit Strategy)

  • EnableBreakEven: Secures your trade by moving the SL to break-even after reaching a certain profit.

  • TrailingMode: Choose a trailing stop method to lock in profits as the price moves in your favor. TRAILING_ATR is a sophisticated, dynamic option.


Group: Time & Day Filter
Gives you full control over the EA's trading schedule.

  • EnableTimeFilter: Activates or deactivates the time filter.

  • StartTradingTime / EndTradingTime: Define trading hours in "HH:MM" format, based on your broker's server time.

  • TradeOnSunday, TradeOnMonday, etc.: Simply check true or false to allow or prohibit trading on specific days.


Group: News Filter (Your Automated Risk Manager)
This is one of our most advanced safety features. It automatically protects you from the extreme volatility, slippage, and spread widening that occurs during high-impact news events.


IMPORTANT: How to Enable the News Filter (One-Time Setup)


For the EA to download the news schedule, you must grant permission in MetaTrader 5.

  1. In MT5, go to Tools > Options.

  2. Select the Expert Advisors tab.

  3. Check the box "Allow WebRequest for listed URL".

  4. Click the "Add new URL" button and enter the following address: https://nfs.faireconomy.media

  5. Click "OK".
    The News Filter will not work without this step.


Sophistication Behind the Scenes:
You don't need to worry about the complex technical details; the EA handles them for you:

  • ✅ Automatic Time Zone & DST Adjustment: The EA intelligently converts global news times (GMT) to your broker's server time and automatically adjusts for Daylight Saving Time (DST) changes. No manual calculations are needed.

  • ✅ Automatic Currency Relevance: The EA is smart enough to know which news matters for your chart.

    • If you trade EURUSD, it will automatically monitor news for EUR and USD.

    • If you trade GOLD (XAUUSD), it knows that USD news is the most influential and will focus on that.

    • If you trade GBPJPY, it will monitor news for GBP and JPY.


News Filter Settings:

  • EnableNewsFilter: The master switch for this feature.

  • PreNewsPause: The "quiet" time in minutes before a news release.

  • PostNewsPause: The "cool-down" period in minutes after a news release.

  • HighImpactOnly: Highly recommended to keep true. This tells the EA to only pay attention to high-impact (red) news events.

Practical Guide: The Professional Workflow from Backtesting to Live Trading

Use the advanced InpBacktestMode feature to conduct honest and reliable tests. The process is simple: we Train the model on one time period, then we Test it on a subsequent period.

Scenario: Train a model on GOLD H1 data from 2022 and then test it on 2023.

Step 1: Create Your AI Model (Using "Train & Save" Mode)
In this step, we use the Strategy Tester as a "model factory."

  1. Open the Strategy Tester (Ctrl+R).

  2. In the "Settings" tab:

    • Select the EA, Symbol (GOLD), and Timeframe (H1).

    • Set the "Custom period" from 2022.01.01 to 2022.12.31.

  3. In the "Inputs" tab:

    • Change InpBacktestMode to MODE_TRAIN_AND_SAVE.

  4. Click "Start".
    The backtest will run very quickly and then stop. This is a success! Check the "Journal" tab to see the confirmation: Model saved successfully. You have just created an AI model file trained exclusively on 2022 data.

Step 2: Test Your Model's Performance (Using "Trading" Mode)
Now, let's see how well your newly created AI brain performs on a completely new market.

  1. Stay in the Strategy Tester.

  2. In the "Settings" tab, change the "Custom period" to your testing period: from 2023.01.01 to 2023.12.31.

  3. In the "Inputs" tab, change InpBacktestMode back to MODE_TRADING. Do not change any other parameters!

  4. Click "Start".
    The EA will now load the model you created in Step 1 and begin trading on 2023 data. The resulting graph and statistics are the most honest and reliable representation of your strategy's performance.

Deploying to a Live/Demo Chart

  1. Open a chart with a supported timeframe (H4 or lower).

  2. Drag the EA onto the chart.

  3. Carefully configure your Risk Management settings.

  4. Ensure the "Algo Trading" button in your MT5 toolbar is active.

Recommendations & Best Practices

  • Minimum Balance: $500, ideally $1000+.

  • Broker: An ECN broker with low spreads.

  • Leverage: 1:100 or higher.

  • Optimal Timeframes: M15, M30, H1.

  • Best Practice: Always start on a demo account for at least 2 weeks. Understand each parameter before changing it. Keep the safety features (Circuit Breaker, News Filter) enabled at all times.

Thank you for choosing AI-Hybrid Trader. We are confident it will be an invaluable tool in your trading journey. Happy trading.






#expert advisor, MT5, AI-Hybrid Trader