Dragon Fire Algo
- Experts
- 버전: 14.7
- 활성화: 5
Dragon EA – Institutional Grade Breakout & Profit-Side Pyramiding System
Developer Profile & Background
With over 14 years of hands-on manual and algorithmic trading experience in the Forex market since 2010, Dragon EA is the culmination of my single most successful manual trading strategy—fully automated and refined into an institutional-grade expert advisor.
Core Strategy & Key Highlights
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Dynamic Percentage-Based Engine: Operates entirely on proportional risk percentage allocation rather than static fixed-lot sizing, dynamically compounding equity growth while preserving capital safety.
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Target Yields: Designed for stable, long-term performance targeting an average 10% to 15% monthly yield.
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High Volatility Mastery: Specially engineered and optimized for fast-moving assets including XAUUSD (Gold) and major high-volatility currency pairs.
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Dual Market Adaptation: Formulated to perform consistently across both strongly trending, falling, and stable market conditions.
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Optimized Broker Execution: Highly tuned and optimized for low-spread environments like Exness (recommended broker), though applicable to major Raw/ECN environments.
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Efficient Multi-Year Backtesting: Built on lightweight code architecture allowing fast, reliable backtests over a 6+ year span to easily generate and refine custom .set files.
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Custom Capital Sizing: Easily tweakable parameters allow traders to generate custom set files tailored precisely to their exact balance and risk appetite.
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Cent Account & Copy Trading Compatibility: Fully compatible with Cent accounts and custom copy-trading setups, offering maximum operational versatility.
Philosophy & Risk Diversification
No strategy or algorithm in financial history can guarantee fixed monthly returns indefinitely on a single asset. Dragon EA was built for long-term survival and compounding wealth.
To achieve sustainable multi-year success:
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Diversify Your Capital: Never rely on a single currency pair or a single set file.
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Portfolio Allocation: Run multiple set files across a basket of diversified assets to distribute market risk evenly.
🔥 Complete Optimization Guide for Dragon Fire AlgoFollow this step-by-step optimization workflow to achieve maximum profitability with controlled drawdown across any currency pair or timeframe:
1. Strategy Tester Setup (Refer to Screenshot 1: Settings Tab)
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Symbol & Timeframe: Tested on XAUUSD (Gold). For robust long-term setfiles, it is recommended to optimize across timeframes ranging from H1 up to H8 .
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Test Period: Multi-year backtest from 2020.01.01 to 2026.07.31 .
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Deposit & Leverage: $10,000 USD base deposit with 1:2000 account leverage.
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Optimization Speed Strategy: Use 1 minute OHLC modeling strictly during the initial optimization process to generate setfiles rapidly. Once you select the top-performing setfiles, switch modeling to Every tick based on real ticks to run a comprehensive single test on each promising file.
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Optimization Criteria: Configured with Fast genetic based algorithm targeting Drawdown min optimization.
2. Parameter Selection (Refer to Screenshot 2: Inputs Tab) To optimize for stability without over-fitting, select only core risk and structural parameters:
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MaxLossPercent: Check box to test risk limits between 1.0% to 5.0% (Step: 0.5 ).
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ZonePeriod: Check box to scan market structure periods from 10 to 240 (Step: 24 ).
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Starting Pip Gap (GridPipStep): Set range between 100 and 2000 pips (Step: 500 ).
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PipStepReduction: Dynamic step reduction configured between 100 and 1000 (Step: 100 ).
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Scaling Rules: Optimize RecoveryExtraPercent , LotStepPercent , and SLStepPercent to fine-tune trade progression during recovery cycles.
3. Optimization Results Analysis (Refer to Screenshot 3: Optimization Results Tab)
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Drawdown vs Profit Balance: Results are sorted by lowest Drawdown % while maintaining strong net profit growth.
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High Expected Payoff: Top-performing passes consistently deliver an expected payoff ranging from $7.00 to $8.95 per trade.
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Low Risk Profile: Top passes achieve over $8,000 - $9,300+ in net profit while keeping total account drawdown tightly controlled between 4.14% and 5.25% .
4. Forward Testing & Live Reliability
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Demo Testing: After saving your favorite setfile, run it on a Demo Account for 2 weeks to verify execution.
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Pure Structure Performance: Since Dragon Fire Algo is purely based on Market Structure rather than lagging indicators, backtest results and live trading performance match with 90% - 100% precision.
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Recommended Setup & Guidelines
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Asset Focus: Gold (XAUUSD) & Major Volatile Pairs
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Broker: Exness (Standard/pro/Raw/Zero Spread recommended)
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Hosting: 24/7 VPS environment with low latency.
Risk Disclaimer
Trading foreign exchange and financial instruments involves high risk and may not be suitable for all investors. Past performance of any trading strategy or expert advisor is not indicative of future results. Leverage creates additional risk and loss exposure. Before deciding to trade Forex using automated algorithms, you should carefully consider your investment objectives, level of experience, and risk appetite. Only trade with risk capital that you can afford to lose.
