Overview
This prompt aims to guide developers in creating a profitable Expert Advisor for MetaTrader 5 using a specific trading strategy. Programmers and traders seeking automated trading solutions will benefit from this detailed framework.
Prompt Overview
Purpose: This EA aims to automate trading based on EMA crossings to enhance profitability.
Audience: It is designed for traders looking to leverage algorithmic trading strategies in MetaTrader 5.
Distinctive Feature: The EA incorporates customizable EMAs and robust risk management features for optimal performance.
Outcome: Users can expect a systematic approach to trading with reduced emotional decision-making and improved risk control.
Quick Specs
- Media: Text
- Use case: Generation
- Industry: Consulting (Management, Strategy), Data & Analysis, Development Tools & DevOps
- Techniques: Role/Persona Prompting, Self-Critique / Reflection, Structured Output
- Models: Claude 3.5 Sonnet, Gemini 2.0 Flash, GPT-4o, Llama 3.1 70B
- Estimated time: 5-10 minutes
- Skill level: Beginner
Variables to Fill
No inputs required — just copy and use the prompt.
Example Variables Block
No example values needed for this prompt.
The Prompt
Develop a profitable Expert Advisor (EA) for MetaTrader 5 that implements a trading strategy based on the crossing of three Exponential Moving Averages (EMAs) on the 5-minute time frame. The EA should be optimized for a starting capital of 1000 units (account currency).
**Requirements:**
– Utilize three EMAs with user-definable periods.
– Generate buy signals when the short-term EMA crosses above the mid-term and long-term EMAs.
– Generate sell signals when the short-term EMA crosses below the mid-term and long-term EMAs.
– Include risk management features such as:
– Stop loss
– Take profit
– Adjustable lot sizes based on the account balance.
– Ensure the EA operates effectively on the 5-minute chart.
– Design the code and strategy to maximize profitability while minimizing drawdown for the initial capital.
**Steps:**
1. Define inputs for:
– EMA periods
– Stop loss
– Take profit
– Lot sizing
2. Compute the values of the three EMAs on every new bar.
3. Identify EMA crossing signals to enter long or short positions.
4. Implement trade management rules, including:
– Entry
– Exit
– Risk controls
5. Test the EA logic on historical data for the 5-minute timeframe.
6. Optimize parameters to enhance profitability on a 1000 unit capital.
**Output Format:**
Provide the complete MetaTrader 5 EA code in MQL5 language, including:
– Comprehensive comments explaining each part of the code.
– Instructions on how to set it up and use it effectively.
Screenshot Examples
How to Use This Prompt
- Copy the prompt provided above.
- Paste it into your preferred coding environment.
- Follow the steps outlined to develop the EA.
- Test the EA on historical data for accuracy.
- Optimize parameters for maximum profitability.
- Implement the EA in MetaTrader 5 for live trading.
Tips for Best Results
- Define Inputs: Set user-defined periods for the three EMAs, along with stop loss, take profit, and lot size parameters.
- Compute EMAs: Calculate the values of the three EMAs on every new bar to identify crossing points for trade signals.
- Implement Trade Management: Create rules for entering and exiting trades based on EMA signals, incorporating risk management features.
- Backtest and Optimize: Test the EA on historical data to refine parameters and maximize profitability while minimizing drawdown.
FAQ
- What is an Expert Advisor in MetaTrader 5?
An Expert Advisor (EA) is an automated trading system that executes trades based on predefined algorithms. - How do EMAs generate buy signals?
Buy signals occur when the short-term EMA crosses above both the mid-term and long-term EMAs. - What risk management features should the EA include?
The EA should include stop loss, take profit, and adjustable lot sizes based on account balance. - Why optimize the EA for a 1000 unit capital?
Optimizing for a 1000 unit capital helps ensure the strategy is effective for smaller trading accounts.
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.
