MQL5: Box trading EA

Trabalho concluído

Tempo de execução 2 dias
Comentário do cliente
I am very satisfied, very fast and well documented code. Will come back with further tasks 😁

Termos de Referência

Project Overview:

We are looking to hire an experienced MQL5 developer to create an Expert Advisor (EA) that performs a specific trading strategy involving buy-stop and sell-stop orders at a predefined time each day. The EA will dynamically adjust the lot sizes based on market conditions, and it will manage trades and orders with a focus on controlling drawdown and maximizing profitability.

Requirements:

  1. Inputs:

    • MagicNumber: Configurable (e.g. 12345)
    • Lots: Configurable (e.g. 0.01)
    • Trading Time: Configurable (e.g., 08:30 )
    • Distance: Configurable (e.g., 20 points)
    • TakeProfit: Configurable (e.g., 20 points)
    • LotSizeIncreaseFactor: Configurable (e.g., 2 which means new lot size = 0.01 + x * 0.01 )
    • Max-Draw-Down: Configurable (e.g., 1% of account equity)
    • CloseAllTradesAtEndOfDay? True/false
    • CloseAllTrades: Configurable (e.g. 23:00)
    • GoFullHedge: True/false
    • GoFullHedge%: Configurable (e.g. 0.5% of account equity)
  2. Core Functionality:

    • At a configurable time each day (e.g., 08:30 ), the EA should open both a buy-stop and a sell-stop order at a specified distance (e.g., 20 points) from the current market price.
    • A unique MagicNumber to distinguish the orders from the ones from other EAs
    • If one of the stop orders is triggered (e.g., buy-stop), the EA should increase the lot size of the opposite stop order (e.g., sell-stop) by a configurable factor (e.g., 2x ).
    • If the price reverses and triggers the opposite stop order (e.g., sell-stop after buy-stop), a new order (e.g., buy-stop) should be placed with the increased lot size at the same price level as the original stop orders.
    • The EA should continue this cycle of placing new orders at the original price level, alternating between buy-stop and sell-stop orders with increased lot sizes, until the TakeProfit level is reached or the Max-Draw-Down limit is hit.
    • There can only be one active buy-stop or sell-stop order at any given time.
    • If set to true, all open trades and stop-orders should be closed at the given time
    • If GoFullHedge is set to true, a hedging position should be opened, once the %-value is reached, and at the next day and then a new cycle would be opened (which would close all trades once tp is reached)
    • A new cycle should be started at the next day.
  3. Extra Functionality:

    • The EA should automatically close all open trades and cancel any pending orders when the TakeProfit level is reached.
    • The EA should monitor the drawdown of all open positions associated with the MagicNumber. If the drawdown reaches the configured Max-Draw-Down percentage, all trades should be closed, and any remaining pending orders should be canceled.
  4. Market Scenario Example:

    • At 08:30 , both buy-stop and sell-stop orders are placed at a distance of 20 points from the current market price.
    • If the buy-stop order is triggered, the EA increases the lot size of the remaining sell-stop order.
      • If the price continues in the buy direction and hits the TakeProfit, all orders are closed.
      • If the price reverses and triggers the sell-stop order, the EA places a new buy-stop order with an increased lot size, continuing the cycle.
    • This process continues indefinitely until the TakeProfit level is achieved or the Max-Draw-Down limit is reached.

Deliverables:

  • The complete and fully functional Expert Advisor (EA) in MQL5 format.
  • The source code of the EA, allowing for future modifications.
  • Documentation explaining how to configure and use the EA.

Notes:

  • The EA should be optimized for performance and efficiency, minimizing resource usage and ensuring quick response times during trading sessions.
  • Code quality is important, with clear comments and structure to facilitate understanding and future modifications.




















































































Arquivos anexados:

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Informações sobre o projeto

Orçamento
30 - 50 USD