Stock Chart Pattern recognition with Deep Learning

Abstract

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.

References in corpus (1)

• CNN Features off-the-shelf: an Astounding Baseline for Recognition