GLAD: Global–Local Approach; Disentanglement Learning for Financial Market Prediction

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left"></td><td class="align_center">Configuration</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Processor</td><td class="align_center">2.9 GHz Quad-Core Intel Core i7</td></tr><tr><td class="align_left">Operating system</td><td class="align_center">macOS Ventura Version 13.2.1</td></tr><tr><td class="align_left">Python version</td><td class="align_center">Python 3.9.13 64-bit</td></tr><tr><td class="align_left">Pytorch version</td><td class="align_center">Pytorch 1.8.0</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The experimental environments’ setups.</div>

IET Signal Processing

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Table 1

Table 1: GLAD: Global–Local Approach; Disentanglement Learning for Financial Market Prediction 