Identification of the head-and-shoulders technical analysis pattern with neural networks
Zapranis, A. and Tsinaslanidis, P. 2010. Identification of the head-and-shoulders technical analysis pattern with neural networks. in: Diamantaras, K., Duch, W. and Iliadis, L. (ed.) Artificial Neural Networks - ICANN 2010 Springer.
|Authors||Zapranis, A. and Tsinaslanidis, P.|
|Editors||Diamantaras, K., Duch, W. and Iliadis, L.|
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%.
|Book title||Artificial Neural Networks - ICANN 2010|
|Series||Lecture Notes in Computer Science|
|Publication process dates|
|Deposited||16 Sep 2014|
|Digital Object Identifier (DOI)||https://doi.org/10.1007/978-3-642-15825-4_17|
|Journal citation||6354, pp. 130-136|
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