The present study aims to establish the model of the cryptocurrency price trend based on financial theory using the LSTM model with multiple combinations between the window length and the predicting horizons, the random walk model is also applied with different parameter settings.
@article{arxiv.2102.05448,
title = {Combination of window-sliding and prediction range method based on LSTM model for predicting cryptocurrency},
author = {Yifan Yao and Lina Wang},
journal= {arXiv preprint arXiv:2102.05448},
year = {2021}
}