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MQL5 based on a recurrent neural network with ADAM algo.
LSTM and opencl style


Money management, moving average, RSI, stop loss follower ...

different strategy modules can be developed.

Each strategy will feed a neuron as input to the neural algorithm.

Depending on the majority result a buy/sell position will be taken or not.

It should be possible to set the stop loss threshold and also the TP.

Strategy in case of DrawDown: if 3 DD then /2
Strategy in case of DrawUp: if 3 DU then *2

Please make a proposal


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개발자 1
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개발자 2
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비슷한 주문
-le graphique utilisé est le 3 minutes: il contient le prix, les bandes de bollinger ainsi que le rsi. -La tendance se prend sur le graphique 30 minutes -Si la tendance est haussier alors on attendra que le prix ai touché la EMA 20 du graphique 30 minutes et qu'il soit passé sous les 30 du rsi 3 minutes. Ensuite que l'on observe une divergence haussiere entre le rsi et le prix du graphique 3 minutes -Prise de
Optimisation d'expert 30 - 100 USD
Bonjour, Je dispose d'un EA très prometteur mais qui manque d'optimisation. Il faudrait y ajouter des plages horaires précises, ainsi qu'un objectif de gains par jour. Merci de bien vouloir me faire parvenir vos propositions
Hello, Thank you for reading the entire announcement carefully. I am looking for someone who can optimize the attached code for me. I want to save time during backtesting. Currently, my computer takes 3 hours and 28 minutes for a single test from 2007 to today using open prices. For your information, this code is not the final version and still needs some modifications, though it is very close. The code will be

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예산
200 - 500 USD
VAT (20%): 40 - 100 USD
총: 240 - 600 USD
개발자에게
180 - 450 USD