Sergey Rashevskiy / プロファイル
- 情報
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13+ 年
経験
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3
製品
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381
デモバージョン
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19
ジョブ
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0
シグナル
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0
購読者
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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
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
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
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







