Sergey Rashevskiy
Sergey Rashevskiy
4.8 (10)
  • Informações
13+ anos
experiência
3
produtos
381
versão demo
19
trabalhos
0
sinais
0
assinantes
Программист широкого профиля.
Sergey Rashevskiy
Imagem publicada
EURGBP, H1Alpari International Limited
Sergey Rashevskiy
Imagem publicada
EURGBP, H1Alpari International Limited
produto compartilhado

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 Produto publicado

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

produto compartilhado

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 Produto publicado

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
Feedback deixado para o cliente no serviço Шаблон советника
Sergey Rashevskiy
Imagem publicada
EURUSD, H1Alpari International Limited
Sergey Rashevskiy
Imagem publicada
EURUSD, H1Alpari International Limited
Sergey Rashevskiy
Imagem publicada
EURUSD, M30Alpari International Limited
Sergey Rashevskiy
Imagem publicada
EURUSD, H4E-Global Trade & Finance Group, Inc.