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Build a dashboard multi-symbol Expert Advisor (EA) with CODE mq5

MQL5 Uzmanlar

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Tamamlanma süresi: 10 gün
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good job
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Highly recommended developer. Delivered on time, followed specifications accurately, communicated clearly, and resolved issues quickly. Great to work with for MT5 projects.

Şartname

I am looking for a skilled MQL5 developer to build a multi-symbol Expert Advisor (EA) with CODE mq5 that follows predefined strategies and logic as seen in the sample dashboard image.

Key Functional Requirements

1. Account Info (Logged in Terminal)

  • Print/display to terminal or log:

    • Account Number, Broker

    • Real-time Balance, Equity

    • Total Open Orders, Total Lots

2. Symbol & Timeframe Signal Handling

  • The EA should monitor multiple symbols (e.g., XAUUSD, USDJPY, AUDCAD)

  • For each symbol, analyze signals from timeframes:
    M1, M5, M15, M30, H1, H2, H4, D1

3. Manual Trading Logic

  • Manual mode allows for placing Buy or Sell orders per symbol with fixed lot

  • Support for simple Grid logic when enabled via input

  • Virtual SL/TP (hidden from broker)

4. Auto Trading Logic

  • Option to enable Auto mode per symbol via input parameter

  • Logic should allow:

    • Buy/Sell based on strategy

    • Open 1 order + up to 3 pending orders (Limit/Stop)

  • Optional: Virtual SL/TP (hidden from broker)

5. Risk & Money Management

  • LotSize adjustable per symbol

  • Input option for:

    • TakeProfit (TP)

    • StopLoss (SL)

    • Trailing Stop

    • R/TP : R/SL Ratio

6. Summary Tracking

  • Track and print (or export to file/log):

    • Total Buy/Sell Lots per symbol

    • Profit per symbol

    • Magic Number, Ticket Info

7. Order Closing Controls

  • Auto-close based on:

    • Reached TP/SL

    • Strategy reversal

  • Input parameter to enable:

    • Close All on condition or manual trigger (via script or flag)


=====>>>>>> I understand this needs lot of expertise in mq5 dashboard. I request interested developers to please contact me with a screenshot/video of any project that they have worked on previously, showing their expertise for dashboard



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