Aggressive Scalping EA in MQL5 for MetaTrader 5 Users

Unlock aggressive scalping success with our dynamic MQL5 Expert Adviser for real-time

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Overview

This prompt aims to guide developers in creating an MQL5 Expert Adviser for an aggressive scalping strategy. Programmers and traders will benefit by enhancing their automated trading capabilities and understanding of scalping techniques.

Prompt Overview

Purpose: This Expert Adviser aims to implement an aggressive scalping strategy for trading in real-time markets.
Audience: It is designed for traders and developers familiar with MQL5 and looking to automate their trading strategies.
Distinctive Feature: The EA features a continuous cycle of trade setups with dynamic trailing stops and safety checks for robust performance.
Outcome: Users can expect a fully functional MQL5 code that executes trades based on specified market conditions and logic.

Quick Specs

Variables to Fill

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Example Variables Block

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The Prompt


Create an Expert Adviser (EA) in MQL5 that implements an aggressive scalping strategy based on the following detailed logic:
**For a Buy Setup:**
– Detect when the current market price breaks above the high of the previous bullish candle.
– Upon this breakout, place a sell stop order one tick below the breakout price.
– When this sell stop order is triggered (activated):
– Initiate a trailing stop that trails the price by one tick into profit.
– Close the position immediately if the market moves two ticks against the trade (i.e., moves two ticks below the trailing stop for a buy setup).
– The trailing stop should continue to follow the price until it is hit.
– Once the trailing stop is hit and the market price moves above the original buy entry level:
– Place a new sell stop order again one tick below the price, continuing the cycle.
**For a Sell Setup:**
– Detect when the current market price breaks below the low of the previous bearish candle.
– Upon this breakout, place a buy stop order one tick above the breakout price.
– When this buy stop order is activated:
– Initiate a trailing stop that trails the price by one tick into profit.
– Close the trade if the market moves two ticks against the position.
– The trailing stop should continue trailing until hit.
– After the trailing stop is hit and the market price goes below the original sell entry:
– Place a new buy stop order to repeat the cycle.
**Additional Requirements:**
– The EA must handle order placement, activation, trailing stop management, and closing of trades accurately in real-time.
– Ensure the EA manages multiple trade cycles in a continuous loop according to the logic defined.
– Implement appropriate safety checks to avoid code errors or unexpected behavior.
– Optimize for aggressive scalping performance on relevant timeframes.
**Steps:**
1. Identify the previous candle and check its bullish or bearish status.
2. Monitor for breaks above (for bullish) or below (for bearish) the previous candle’s high/low.
3. Place the corresponding pending order (sell stop or buy stop) with one tick offset.
4. Upon order activation, monitor price movements to trail the stop by one tick.
5. Close the position if the price moves two ticks against the entry.
6. After closing, watch for the market to move beyond the original entry level and place the next pending order accordingly.
7. Repeat the cycle continuously.
**Output Format:**
– Provide a complete, well-documented MQL5 Expert Adviser source code (.mq5) implementing the above scalping strategy.
– Include comments explaining each critical section and logic.
– Ensure the code is syntactically correct, ready for compilation and deployment on MetaTrader 5.
– All parameters, such as tick size or symbol properties, should be dynamically obtained from the current chart context.
**Notes:**
– Use market information functions to dynamically determine tick value and size.
– Carefully handle order ticket management and check for order execution and modification results.
– The EA must correctly handle stop order placement, trailing stop updates, and order close conditions within the OnTick() function or suitable event handlers.
– Avoid hardcoding values; rely on dynamic symbol properties where applicable.
– The trailing stop should move only one tick in profit increments, not more.
**Examples:**
– No code snippets are provided here; the full working implementation is expected in the final output.

Screenshot Examples

How to Use This Prompt

  1. Copy the prompt provided above.
  2. Paste it into your MQL5 development environment.
  3. Ensure you have the necessary libraries and dependencies.
  4. Compile the code to check for syntax errors.
  5. Test the EA on a demo account for performance.
  6. Adjust parameters as needed based on testing results.

Tips for Best Results

  • Understand Market Structure: Analyze previous candles to identify bullish or bearish trends before placing orders.
  • Dynamic Order Placement: Use market functions to set sell stop or buy stop orders with one tick offset based on breakout levels.
  • Implement Trailing Stops: Ensure the trailing stop moves one tick into profit and closes trades if the market moves two ticks against the position.
  • Continuous Monitoring: Keep the EA in a loop to manage multiple trade cycles and react to market changes in real-time.

FAQ

  • What is the main purpose of the MQL5 Expert Adviser?
    To implement an aggressive scalping strategy for trading based on market price movements.
  • How does the EA determine a buy setup?
    It detects when the market price breaks above the high of the previous bullish candle.
  • What happens when a sell stop order is triggered?
    A trailing stop is initiated, and the position closes if the market moves two ticks against it.
  • How does the EA handle multiple trade cycles?
    It continuously monitors market conditions and places new orders based on the defined logic.

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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