Stock Chart Pattern recognition with Deep Learning

Velay, Marc, Daniel, Fabrice

arXiv.org Machine Learning 

This study evaluates the performances of CNN and LSTM for recognizing common charts patterns in a stock historical data. It presents two common patterns, the method used to build the training set, the neural networks architectures and the accuracies obtained.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found