EA for Dynamic Draw Down Protection Grid in MQL4

MQL4 Esperti

Lavoro terminato

Tempo di esecuzione 31 giorni
Feedback del dipendente
Good customer. Very easy to work with and very clear with what he wants. I would like to work with him again
Feedback del cliente
Professional, serious,easy to work with and competent. Nothing else to add - will work with again!

Specifiche

Dear developers!

I have an idea for an EA which manages bad positions through a dynamic hedge grid system. The purpose is to "catch" a bad position, prevent further DD and negative float, and ultimately close the position with fewer losses.

There are two ways to do this:

  1. If the market moves back towards the covered position, the hedge field follows and ultimately closes the distance between the hedge field and the covered position. Eventually the covered position returns to zero and everything can be closed.
  2. If the market moves in the wrong direction away from our covered position, the positive hedges created by the EA will eventually balance out the negative covered position, allowing all of the positions to be closed.

Additionally:

  • Considering that market consolidation / churn can lead to the unintentional closing of hedge positions, the EA will consistently replenish closed hedges according to specific rules.
  • Swap costs are not considered in this system therefore it is always possible to incur some losses, depending on the time needed to close a covered position.

All of the rules of this system are explained, with detailed operational examples, in the attached file.

Please don't hesitate to ask questions about the spec ahead of time.

While I have developed this protective system manually and it works fairly well, I am always happy to listen to any ideas for improvements that you may have.

Final deliverables:

  1. Error free .ex4 which works on any MT4 chart.
  2. The .mq4 source code so that I can further my own MQL4 learning objectives, and modify / use this code as I see fit.
A working solution is good. An elegant solution is better :)

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Informazioni sul progetto

Budget
30 - 150 USD
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a 10 giorno(i)