Breakout Trend Rider EA
- Experts
- 버전: 3.53
- 활성화: 5
Breakout Trend Rider EA (v3.53)
Product Manual & Input Guide
Optimized for MT5 • Updated: June 2026 • Lifetime Purchase & Flexible Rental Options Available
Crucial Market Note: This EA is built exclusively for strong trending markets. It is highly selective and designed to remain patient or completely out of the market during sideways, choppy, or low-volatility conditions.
1. System Architecture & Core Features
The Three-Tier System
The EA utilizes a proprietary, multi-layered hierarchical confirmation system across three independent trading tiers. Higher tiers require stronger internal signals, resulting in higher-conviction trades.
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Tier 1: Optimal setups
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Tier 2: Super Optimal setups
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Tier 3: High Probability setups
Key Technical Features
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Adaptive Volatility Management: Automatically adjusts internal parameters in response to changing market conditions.
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Macro Trend Filter: Validates overall market direction on higher timeframes before allowing any execution on the primary timeframe.
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Advanced Exit Mechanisms: Combines fixed targets, trend-following rules, and momentum-based filters.
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Flexible Risk Management: Supports fixed lot sizing or equity-based percentage scaling.
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Session Control: Allows restriction of trading to specific global market hours.
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On-Chart Dashboard: Displays real-time market condition summaries (based on the latest closed candle), tier readiness, open positions, and current PnL.
2. Input Parameters Guide
General & Timeframe Settings
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Trading Timeframe: The primary timeframe used by the EA for chart analysis and trade execution.
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Macro Timeframe: Higher timeframe used to confirm the macro trend direction (H4 to D1 recommended).
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Exit Timeframe: Timeframe used for dynamic exit level calculations (M20 recommended).
Entry & Confirmation Filters
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Persistence Bars (Range: 2–10): The number of consecutive prior bars that must satisfy tier conditions before a trade opens. Higher values result in stricter, higher-quality signals.
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Use Entry Signal Threshold: Enables or disables a minimum strength requirement for entry signals.
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Entry Signal Threshold: The specific minimum value required for entry (active only when the threshold setting above is enabled).
Exit & Momentum Filters
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Signal Timeframe: Timeframe used for exit-related momentum analysis.
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Use Signal Cross for Exit: Closes trades based on momentum line crossovers.
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Use Signal Reversal for Exit: Closes trades when momentum direction completely reverses.
Volume & Risk Management
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Lot Size Mode: Toggle between Fixed lot size or Equity-based lot size.
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Tier 1 / Tier 2 / Tier 3 Fixed Lot Size: Volume used when Fixed mode is active.
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Tier 1 / Tier 2 / Tier 3 Equity Percent: Percentage of current account equity allocated per tier when Equity mode is active.
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Maximum Lot Size for Equity Mode: A hard safety ceiling to limit maximum allowed trade volume for Equity mode.
Take Profit Targets
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Tier 1 / Tier 2 / Tier 3 Profit Target: Fixed USD profit levels at which each specific tier's position will automatically close.
Session Controls
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Trade Sydney / Tokyo / London / New York Session: Enable or disable trading during specific GMT sessions. (London and New York are highly recommended for optimal trend volume).
- ⚠️ Important Logic Rule: If all trading session filters are set to False , the EA will automatically default to treating them all as True . This means the system will trade continuously across all sessions if no specific session is selected.
3. MT5 Optimization & Tuning Guide
To find the most robust settings for your chosen instrument, run a Slow Complete Algorithm in the MT5 Strategy Tester. Use the following precise optimization intervals:
Core Optimization Parameters
| Parameter Name | Start Value | Step | Stop Value | Recommendation / Notes |
| Trading Timeframe | M20 | — | H4 | Run across major intermediate timeframes. |
| Persistence Bars | 2 | 1 | 5 | Stricter filtering as the number increases. |
| Macro Timeframe | H4 | — | D1 | Validates strong macro trend confirmation. |
| Exit Timeframe | M5 | — | M30 | Controls the sensitivity of dynamic exit levels. |
| Signal Timeframe | M3 | — | M15 | Used for exit-related momentum analysis. |
Session Filter Optimization
To find the exact market hours when your target pair trends the cleanest, optimize the following parameters as a True/False matrix:
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Trade Sydney Session ➡️ True / False
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Trade Tokyo Session ➡️ True / False
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Trade London Session ➡️ True / False
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Trade New York Session ➡️ True / False
Reminder on Session Logic: If your optimization run happens to select False for all four sessions, the EA's internal logic automatically defaults to treating them all as True. This ensures continuous 24-hour trading rather than shutting the EA down entirely.
4. Setup & Operational Best Practices
Step-by-Step Implementation Protocol
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Exhaustive Testing: Run thorough backtests, optimization routines(slow complete algorithm), and Monte Carlo simulations on your specific target symbol and timeframe.
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Demo Validation: Forward test the EA on a demo account for 2 to 4 weeks.
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Live Micro-Launch: Start with micro lots when moving to a live account.
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Behavioral Verification: Closely monitor the first 10 live trades to ensure execution perfectly matches your historical testing.
Operational Guidelines
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Begin with highly conservative equity percentages(for equity mode).
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Utilize a reliable VPS (Virtual Private Server) to ensure continuous, 24/7 operation.
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Enable push notifications to stay informed of automated entry and exit alerts.
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Allow the system to manage open trades autonomously without manual intervention.
5. Disclaimers & Risk Warning
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Market Risk: This EA is optimized specifically for trending environments; performance will be limited or restricted during ranging, sideways, or low-volatility periods.
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Past Performance: Historical testing performance does not guarantee future results.
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Risk Disclaimer: Provided strictly "as-is" for educational and trading purposes. Trading financial markets involves substantial risk of loss. Never risk capital you cannot afford to lose. Always maintain strict position sizing and proper risk management. The author assumes no responsibility for trading losses or uncontrollable market conditions.
