This is a quick description on optimizing EA Open Neuron for any symbol, I will present the simplest option for the user, of course there are many ways but every specialist knows them for sure.
If you intend to start optimizing, you must have a powerful computer hardware or use the mql cloud which is paid.
Settings screenshot all input parameters in genetic optimization test must be set exactly the same only functions that need to be set manually before running optimization are TP, Trailing Stop Trailing Step (trailing stop and trailing step is the number by which the TP is divided, it is not expressed in pips) and Lot Factor in inputs average. STEP input optimize together with neural network.
For faster optimization, turn off the “Display Chart Info” function because it requires additional calculations and slows down the learning process.
Additional functions such as close oposit means closing the position if the opposite signal appears, this function should also be defined before starting learning
Set the learning symbol and network TF in inputs tab EA preferably between H1 and D1.
It is best to perform learning a minimum 3-year extraction and check the resultsin in out of sample, or manually change the risk to a lower one.
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