Identification of the head-and-shoulders technical analysis pattern with neural networks
A Zapranis, P Tsinaslanidis - International Conference on Artificial Neural …, 2010 - Springer
International Conference on Artificial Neural Networks, 2010•Springer
In this paper we present a novel approach for identifying the head-and-shoulders technical
analysis pattern based on neural networks. For training the network we use actual patterns
that were identified in stochastically simulated price series by means of a rule-based
algorithm. Then the patterns are being converted to binary images, in a manner similar to the
one used in hand-written character and digit recognition. Our approach is tested on new
simulated price series using a rolling window of variable size. The results are very promising …
analysis pattern based on neural networks. For training the network we use actual patterns
that were identified in stochastically simulated price series by means of a rule-based
algorithm. Then the patterns are being converted to binary images, in a manner similar to the
one used in hand-written character and digit recognition. Our approach is tested on new
simulated price series using a rolling window of variable size. The results are very promising …
Abstract
In this paper we present a novel approach for identifying the head-and-shoulders technical analysis pattern based on neural networks. For training the network we use actual patterns that were identified in stochastically simulated price series by means of a rule-based algorithm. Then the patterns are being converted to binary images, in a manner similar to the one used in hand-written character and digit recognition. Our approach is tested on new simulated price series using a rolling window of variable size. The results are very promising with an overall correct classification rate of 97.1%.
Springer
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