Create an Autonomous MQL5 EA for Multi-Timeframe Scalping

Unlock automated trading success with our advanced multi-timeframe scalping Expert Advisor for

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Overview

This prompt aims to create a sophisticated MQL5 Expert Advisor for automated trading, benefiting traders seeking efficient scalping strategies. Experienced developers will gain insights into implementing advanced trading logic and coding practices.

Prompt Overview

Purpose: This Expert Advisor aims to automate a multi-timeframe scalping strategy for efficient trading on MetaTrader 5.
Audience: Designed for experienced traders and developers seeking to implement advanced algorithmic trading strategies.
Distinctive Feature: The EA utilizes three technical indicators across multiple timeframes to enhance trade accuracy and decision-making.
Outcome: Users will receive a fully-commented MQL5 script ready for deployment, ensuring effective and autonomous trading operations.

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The Prompt


You are an expert financial trading strategist and software developer with 55 years of experience in MQL5 scripting and algorithmic trading.
Your task is to create a fully autonomous Expert Advisor (EA) for MetaTrader 5, implementing a multi-timeframe scalping strategy using the following charts simultaneously:
– 30-minute
– 15-minute
– 5-minute
The EA must utilize three technical indicators to determine entry and exit points for buy and sell trades:
– Exponential Moving Average (EMA)
– Average True Range (ATR)
– Relative Strength Index (RSI)
The trading logic should be informed by decades of coding and market experience, incorporating robust technical analysis principles. A model strategy example includes:
1. 30m timeframe:
– Use EMA for trend direction
– ATR-based SuperTrend as a trend filter.
2. 15m timeframe:
– Use EMA9 and EMA21 for trend bias
– RSI with a 7-period setting.
3. 5m timeframe:
– Use SuperTrend (with ATR 7 × 2)
– ATR for dynamic stop sizing.
4. Exit strategy:
– Aim for a small fixed take profit target between 0.6× and 1.2× ATR(15m), maintaining approximately a 1:1.5 risk-reward ratio.
– Close positions if the 30m RSI falls below 45 or the 5m SuperTrend changes direction.
5. Implement a smart, dynamic trailing stop loss to secure profits based on indicator values.
6. Implement pyramiding with up to 3 positions, allowing additional entries if the trend remains favorable and aligns with the existing position direction.
### Additional Requirements:
– Use proper MQL5 coding standards ensuring full compilability in MetaEditor without errors.
– Calculate lot size dynamically based on a RiskPercent parameter.
– Assign the EA’s magic number using the current date for uniqueness.
– Include extensive comments on all tunable parameters, including take profit, stop loss, trailing stop loss, pyramiding limits, and risk management.
### The goal is to deliver:
A production-ready, fully-commented MQL5 EA script that applies this advanced multi-timeframe scalping strategy effectively and autonomously on MetaTrader 5.
### Steps:
7. Define input parameters for:
– Risk percentage
– Timeframes
– Indicator settings
– Take profit
– Stop loss
– Trailing stop
– Pyramiding limits
– Others
8. Initialize EMA, ATR, RSI, and SuperTrend indicators on the required timeframes.
9. Implement logic to detect trend direction on multiple timeframes using the indicators.
10. Write entry conditions based on:
– EMA crossovers
– RSI thresholds
– SuperTrend confirmations
11. Calculate dynamic stop loss and take profit levels using ATR-based formulas.
12. Implement a smart trailing stop loss that adjusts based on indicator changes.
13. Code position pyramiding to allow up to three entries in the same trend direction, verifying trend continuation before each addition.
14. Calculate lot size dynamically according to the RiskPercent and account balance.
15. Assign a magic number dynamically from the current date to avoid conflicts.
16. Include extensive parameter comments to guide future tuning.
17. Perform thorough error checking and ensure code optimization and MetaEditor compatibility.
### Output Format:
Provide the complete MQL5 source code for the Expert Advisor as a single text block ready to compile. Include detailed in-line comments explaining the purpose and functioning of each parameter, block of code, and trading logic decision point.
### Notes:
– Ensure the EA handles error conditions gracefully.
– Use best practices for coding safety and performance.
– Prioritize maintainability and readability through comments and clear structure.
– The EA should autonomously manage all orders and avoid manual intervention.
– Maintain strict adherence to the specified multi-timeframe, multi-indicator strategy.

Screenshot Examples

How to Use This Prompt

  1. Copy the prompt provided above.
  2. Paste it into your preferred text editor.
  3. Modify any specific parameters as needed.
  4. Implement the MQL5 code in MetaEditor.
  5. Compile the code to check for errors.
  6. Test the EA on a demo account before live trading.

Tips for Best Results

  • Define Inputs: Set parameters for risk percentage, timeframes, indicator settings, and trade management.
  • Initialize Indicators: Properly initialize EMA, ATR, RSI, and SuperTrend for the specified timeframes.
  • Entry Logic: Implement conditions for trade entries based on EMA crossovers, RSI levels, and SuperTrend signals.
  • Dynamic Management: Use ATR for dynamic stop loss and take profit, and allow pyramiding for trend continuation with strict risk management.

FAQ

  • What is the purpose of using multiple timeframes in trading?
    Multiple timeframes provide a broader market perspective, helping to confirm trends and improve trade accuracy.
  • How does the EMA influence trading decisions?
    The EMA indicates trend direction, allowing traders to align their trades with prevailing market momentum.
  • What role does the ATR play in this strategy?
    ATR measures market volatility, helping to set dynamic stop losses and take profit levels based on current market conditions.
  • Why is pyramiding used in this trading strategy?
    Pyramiding allows traders to increase position size as trends strengthen, maximizing potential profits while managing risk.

Compliance and Best Practices

  • Best Practice: Review AI output for accuracy and relevance before use.
  • Privacy: Avoid sharing personal, financial, or confidential data in prompts.
  • Platform Policy: Your use of AI tools must comply with their terms and your local laws.

Revision History

  • Version 1.0 (February 2026): Initial release.

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