Semi-Automated Day Dealer EA – Group Growth Undertaking
Pricey Fellow Merchants and Builders,
My identify is Chris, and I’m excited to share a buying and selling challenge I’ve been creating with the help of AI expertise. As somebody with over 10 years of intermittent expertise in foreign exchange markets, I’ve realized priceless classes from each successes and setbacks, significantly with complicated methods like hedging and martingale techniques.
Undertaking Background
Whereas I’ve intensive expertise putting in and utilizing Knowledgeable Advisors, this represents my first actual try at EA improvement. Regardless of restricted programming expertise, I’ve efficiently created what seems to be a promising breakout buying and selling system, particularly optimized for XAUUSD.
Preliminary Outcomes
Preliminary backtesting on XAUUSD has yielded distinctive outcomes, although I acknowledge my restricted experience in backtesting methodologies. The system demonstrated:
– Vital revenue era over prolonged durations
– Constant win charges exceeding 77%
– Robust risk-adjusted returns
Group Collaboration Request
I’m in search of collaboration from the MQL5 neighborhood within the following areas:
1. Superior Backtesting – Validation of outcomes throughout totally different market circumstances
2. Code Overview – Skilled evaluation and optimization suggestions
3. Multi-Pair Optimization – Growth of .set information for added foreign money pairs
4. Publication Help – Steerage on correctly importing to MQL5 Market
Open Supply Dedication
This EA shall be made freely obtainable to the neighborhood. Moreover, I’ve developed a Stochmaster Divergence Indicator that I plan to contribute as a complementary software.
EXPERT ADVISOR SPECIFICATIONS
Core Technique
Breakout Buying and selling System using dynamic cease orders positioned at earlier candle extremes, with clever order administration to seize momentum actions.
Skilled Options
Management Interface:
– Interactive buying and selling panel with real-time controls
– Visible RSI sentiment evaluation
– One-click course switching (Purchase/Promote/Each)
– Buying and selling allow/disable performance
Threat Administration:
– Three-tier cease loss system (Fastened/Trailing/Market Construction)
– Day by day commerce limits and place controls
– Complete unfold safety
– Automated order cleanup protocols
Technical Evaluation:
– 5-filter affirmation system (MA, SAR, Stochastic, ATR, Unfold)
– Multi-timeframe evaluation functionality
– Volatility-based commerce filtering
– Actual-time sentiment monitoring
Operational Options:
– 35+ configurable parameters
– Versatile time-based buying and selling home windows
– Dynamic and glued lot sizing choices
– Multi-broker compatibility (5-digit help)
– Skilled error dealing with and validation
Superior Capabilities:
– Market structure-based cease placement
– Candle sample recognition for cease administration
– Efficiency-optimized execution
– Reminiscence-efficient object dealing with
Technical Implementation:
– Magic Quantity system for multi-EA environments
– Complete enter validation
– Skilled-grade reminiscence administration
– Cross-platform compatibility
Searching for Suggestions
I welcome constructive suggestions from skilled builders and merchants. Areas of explicit curiosity embrace:
– Code optimization alternatives
– Further threat administration options
– Efficiency enhancement solutions
– Multi-asset adaptation methods
Subsequent Steps
Upon receiving neighborhood steerage, I plan to:
1. Implement steered enhancements
2. Conduct complete multi-pair testing
3. Put together correct documentation
4. Undergo MQL5 Market as a free useful resource
I imagine this challenge represents a priceless contribution to the automated buying and selling neighborhood and stay up for collaborative improvement with fellow merchants and programmers.
Thanks in your time and experience.
Greatest regards,
Chris
This challenge is developed for academic and neighborhood profit. Previous efficiency doesn’t assure future outcomes. Please check completely on demo accounts earlier than stay implementation.
