Ticaret robotlarını ücretsiz olarak nasıl indirebileceğinizi izleyin
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Komut dosyasını ilginç mi buldunuz?
Öyleyse bir link gönderin -
başkalarının da faydalanmasını sağlayın
Komut dosyasını beğendiniz mi? MetaTrader 5 terminalinde deneyin
Uzman Danışmanlar

EA Frame - MetaTrader 5 için Uzman Danışman

Görüntülemeler:
5797
Derecelendirme:
(12)
Yayınlandı:
2023.03.24 07:30
Güncellendi:
2023.03.24 07:33
\MQL5\Experts\Base\
500.mq5 (8.89 KB) görüntüle
Bu koda dayalı bir robota veya göstergeye mi ihtiyacınız var? Freelance üzerinden sipariş edin Freelance'e git

Include file contains moving average group, a moving average group with 6 moving averages in PERIOD_W1, and a moving average group with 6 moving averages in PERIOD_CURRENT.

MA group is several different period MA lines in an array, yeah, double dimensional array. There is a very useful function call MA_Direction, which tell you whether the MA group goes with the same direction  in  controllable bars. The performance is very good. give me 5 stars, please!


With object-oriented programming, it is easy to integrate multiple strategies, one object for one strategy .


Of course, there must be the most basic order management, it according to the order's comment to manage each order, so that different strategy could integrate.


Beside, keep an eye on my signal!

    Refresh All Open Charts Refresh All Open Charts

    This Script will Refresh All Open Charts in MT5, Usually custom symbols in MT5 needs to be Refresh sometime so this script will help to refresh all open chart at once. We can also use this Script anywhere where we need to refresh all open charts.

    Pivot Pivot

    Pivots based on Bar Prediction.

    Get info about inputs and outputs of onnx-model Get info about inputs and outputs of onnx-model

    Script gets information about input and output tensors of onnx-model, their types and shapes

    Information about the ONNX model's inputs and outputs Information about the ONNX model's inputs and outputs

    The script obtains information about the number, types and sizes of input and output tensors in an ONNX model