Create profitable EA based on professional, proven strategy 🚀

MQL5 Asesores Expertos

Trabajo finalizado

Plazo de ejecución 18 días
Comentario del Cliente
Goal-oriented, fast, and skilled programmer with deep expertise. Focuses on efficient project completion. Highly recommended—one of the best developers I’ve found on MQL5.com.
Comentario del Ejecutor
Good customer. Clear specification, fast communication

Tarea técnica



Looking for a skilled MQL5 programmer to develop an Expert Advisor (EA) based on a proven trading strategy.
Complete details and requirements will be provided only to serious candidates.

📊 Strategy Overview

Concept:

The EA will detect a liquidity sweep on a primary instrument using 1-minute data and then verify that a secondary instrument does not perform a similar sweep at the same time. A liquidity sweep occurs when the price briefly breaks a key support level (creating a new low with high volume) and then quickly recovers.

Process:

✅ Primary Instrument Detection:

  • The current 1-minute bar’s low must be lower than the previous bar’s low.
  • The current bar’s volume must exceed the average volume of the last 10 bars by a set multiplier (e.g., 1.5×).
  • Within the next 3 bars, the price must recover by closing above the previous bar’s low.

✅ Secondary Instrument Verification:

  • In the same 1-minute bar, the secondary instrument’s low must remain higher than the primary instrument’s sweep level (i.e., it must not perform a similar sweep).

✅ Signal & Alerts:

  • If these conditions are met, the EA generates a signal.
  • Alerts are sent via sound (Alert), push notifications (SendNotification), and email (SendMail).

🔧 Key Features

📌 Data Handling:

  • Use 1-minute historical data for both instruments.
  • Functions like iLow() , iClose() , iVolume() , and iTime() .

📌 Alert System:

  • Integrated sound alerts, push notifications, and email alerts.
  • User-configurable settings to enable/disable each alert type and set the email recipient.

📌 Visualization:

  • Draw horizontal lines on the chart at detected sweep levels for the primary instrument.
  • Optionally display corresponding levels for the secondary instrument for visual comparison.

📌 Modular Code:

  • Clean, well-documented MQL5 code with clear comments.
  • Separate functions for data retrieval, sweep detection, secondary instrument verification, time comparison, alert sending, and visualization.

✅ Requirements Summary

⏳ Timeframe: 1-minute (M1)
📉 Instruments:

  • Primary: Any financial instrument.
  • Secondary: Another instrument for verification.
    🎯 Detection Logic:
  • Identify a liquidity sweep on the primary instrument based on price, volume, and confirmation conditions.
  • Verify that the secondary instrument does not exhibit a similar sweep at the same time.
    🔔 Alerts:
  • Sound, push notifications, and email alerts.
    📊 Visualization:
  • Draw historical horizontal lines at detected sweep levels.
    🖥 Code:
  • Written in MQL5, modular structure, clear English comments.

If you’re interested in this straightforward and professional project, please contact me for full details and further discussion! 😊



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