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Mathematical processing of trading strategy based on long short-term memory neural network model
At present, gold and bitcoin have become mainstream assets in market transactions. Due to the volatility of gold and bitcoin prices, we can buy and sell assets like gold and bitcoin the same way we buy and sell stocks. The research goal of this article is to develop an optimal trading strategy that...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742274/ https://www.ncbi.nlm.nih.gov/pubmed/36518995 http://dx.doi.org/10.3389/fncom.2022.1052140 |
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author | Wang, Han-Yang Li, An-Qi Tie, Chao-Chen Wang, Chao-Jun Xu, Yun-Hua |
author_facet | Wang, Han-Yang Li, An-Qi Tie, Chao-Chen Wang, Chao-Jun Xu, Yun-Hua |
author_sort | Wang, Han-Yang |
collection | PubMed |
description | At present, gold and bitcoin have become mainstream assets in market transactions. Due to the volatility of gold and bitcoin prices, we can buy and sell assets like gold and bitcoin the same way we buy and sell stocks. The research goal of this article is to develop an optimal trading strategy that maximizes our post-trade returns. By studying the relationship between the two, on the one hand, it supplements and enriches the theoretical research on the rate of return of gold and Bitcoin, on the other hand, it provides a certain reference for investors to construct investment strategies. The research on the cointegration relationship between them has important practical significance. At the same time, it has important practical significance for the research on the cointegration relationship between bitcoin and gold. |
format | Online Article Text |
id | pubmed-9742274 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97422742022-12-13 Mathematical processing of trading strategy based on long short-term memory neural network model Wang, Han-Yang Li, An-Qi Tie, Chao-Chen Wang, Chao-Jun Xu, Yun-Hua Front Comput Neurosci Neuroscience At present, gold and bitcoin have become mainstream assets in market transactions. Due to the volatility of gold and bitcoin prices, we can buy and sell assets like gold and bitcoin the same way we buy and sell stocks. The research goal of this article is to develop an optimal trading strategy that maximizes our post-trade returns. By studying the relationship between the two, on the one hand, it supplements and enriches the theoretical research on the rate of return of gold and Bitcoin, on the other hand, it provides a certain reference for investors to construct investment strategies. The research on the cointegration relationship between them has important practical significance. At the same time, it has important practical significance for the research on the cointegration relationship between bitcoin and gold. Frontiers Media S.A. 2022-11-28 /pmc/articles/PMC9742274/ /pubmed/36518995 http://dx.doi.org/10.3389/fncom.2022.1052140 Text en Copyright © 2022 Wang, Li, Tie, Wang and Xu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Wang, Han-Yang Li, An-Qi Tie, Chao-Chen Wang, Chao-Jun Xu, Yun-Hua Mathematical processing of trading strategy based on long short-term memory neural network model |
title | Mathematical processing of trading strategy based on long short-term memory neural network model |
title_full | Mathematical processing of trading strategy based on long short-term memory neural network model |
title_fullStr | Mathematical processing of trading strategy based on long short-term memory neural network model |
title_full_unstemmed | Mathematical processing of trading strategy based on long short-term memory neural network model |
title_short | Mathematical processing of trading strategy based on long short-term memory neural network model |
title_sort | mathematical processing of trading strategy based on long short-term memory neural network model |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742274/ https://www.ncbi.nlm.nih.gov/pubmed/36518995 http://dx.doi.org/10.3389/fncom.2022.1052140 |
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