Sergey Rashevskiy
Sergey Rashevskiy
4.8 (10)
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13+ années
expérience
3
produits
382
versions de démo
19
offres d’emploi
0
signaux
0
les abonnés
Программист широкого профиля.
Sergey Rashevskiy
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EURGBP, H1Alpari International Limited
Sergey Rashevskiy
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EURGBP, H1Alpari International Limited
produit partagé

249.00 USD

Neurone is a trend strategy based on neural network analysis. Strategy Description The strategy is based on the algorithm of a self-learning neural network. The idea of the algorithm was taken from a famous demonstration of artificial intelligence training in the game with 11 matches. The trading day is divided into 6 trading intervals, which are associated with the H4 candles. Each candle withing a day is a neuron. The history data associated with the neuron are passed as input for the neurons

Sergey Rashevskiy Produits publiés

249.00 USD

Neurone is a trend strategy based on neural network analysis. Strategy Description The strategy is based on the algorithm of a self-learning neural network. The idea of the algorithm was taken from a famous demonstration of artificial intelligence training in the game with 11 matches. The trading day is divided into 6 trading intervals, which are associated with the H4 candles. Each candle withing a day is a neuron. The history data associated with the neuron are passed as input for the neurons

produit partagé

249.00 USD

Neurone is a trend strategy based on neural network analysis. Strategy Description The strategy is based on the algorithm of a self-learning neural network. The idea of the algorithm was taken from a famous demonstration of artificial intelligence training in the game with 11 matches. The trading day is divided into 6 trading intervals, which are associated with the H4 candles. Each candle withing a day is a neuron. The history data associated with the neuron are passed as input for the neurons

Sergey Rashevskiy Produits publiés

249.00 USD

Neurone is a trend strategy based on neural network analysis. Strategy Description The strategy is based on the algorithm of a self-learning neural network. The idea of the algorithm was taken from a famous demonstration of artificial intelligence training in the game with 11 matches. The trading day is divided into 6 trading intervals, which are associated with the H4 candles. Each candle withing a day is a neuron. The history data associated with the neuron are passed as input for the neurons

Sergey Rashevskiy
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Sergey Rashevskiy
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EURUSD, H1Alpari International Limited
Sergey Rashevskiy
Capture d'écran publiée
EURUSD, H1Alpari International Limited
Sergey Rashevskiy
Capture d'écran publiée
EURUSD, M30Alpari International Limited
Sergey Rashevskiy
Capture d'écran publiée
EURUSD, H4E-Global Trade & Finance Group, Inc.