Sergey Rashevskiy / Profile
- Information
|
13+ years
experience
|
3
products
|
381
demo versions
|
|
19
jobs
|
0
signals
|
0
subscribers
|
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







