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Visualizing profitability: A heatmap approach to evaluate Bitcoin futures trading using VMA trading rules
Given that technical trading charts are publicly available on popular financial websites such as Bloomberg and MarketWatch, it stands to reason that the same technical trading approaches may be applied to cryptocurrency markets. One of these trading strategies is the variable length moving average (...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598531/ https://www.ncbi.nlm.nih.gov/pubmed/37885713 http://dx.doi.org/10.1016/j.heliyon.2023.e21376 |
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author | Day, Min-Yuh Ni, Yensen Hsu, Chinning Huang, Paoyu |
author_facet | Day, Min-Yuh Ni, Yensen Hsu, Chinning Huang, Paoyu |
author_sort | Day, Min-Yuh |
collection | PubMed |
description | Given that technical trading charts are publicly available on popular financial websites such as Bloomberg and MarketWatch, it stands to reason that the same technical trading approaches may be applied to cryptocurrency markets. One of these trading strategies is the variable length moving average (VMA), whose flexibility benefit has not been fully explored in prior research. To fill this gap, we evaluate Bitcoin futures using VMA trading rules and provide the results in a heatmap diagram. This approach allows investors to choose the most effective VMA rules, potentially leading to profits. Furthermore, our approach may shed new light on previously unexplored investment thinking and practices that have the potential to improve investment outcomes. |
format | Online Article Text |
id | pubmed-10598531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105985312023-10-26 Visualizing profitability: A heatmap approach to evaluate Bitcoin futures trading using VMA trading rules Day, Min-Yuh Ni, Yensen Hsu, Chinning Huang, Paoyu Heliyon Research Article Given that technical trading charts are publicly available on popular financial websites such as Bloomberg and MarketWatch, it stands to reason that the same technical trading approaches may be applied to cryptocurrency markets. One of these trading strategies is the variable length moving average (VMA), whose flexibility benefit has not been fully explored in prior research. To fill this gap, we evaluate Bitcoin futures using VMA trading rules and provide the results in a heatmap diagram. This approach allows investors to choose the most effective VMA rules, potentially leading to profits. Furthermore, our approach may shed new light on previously unexplored investment thinking and practices that have the potential to improve investment outcomes. Elsevier 2023-10-21 /pmc/articles/PMC10598531/ /pubmed/37885713 http://dx.doi.org/10.1016/j.heliyon.2023.e21376 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Day, Min-Yuh Ni, Yensen Hsu, Chinning Huang, Paoyu Visualizing profitability: A heatmap approach to evaluate Bitcoin futures trading using VMA trading rules |
title | Visualizing profitability: A heatmap approach to evaluate Bitcoin futures trading using VMA trading rules |
title_full | Visualizing profitability: A heatmap approach to evaluate Bitcoin futures trading using VMA trading rules |
title_fullStr | Visualizing profitability: A heatmap approach to evaluate Bitcoin futures trading using VMA trading rules |
title_full_unstemmed | Visualizing profitability: A heatmap approach to evaluate Bitcoin futures trading using VMA trading rules |
title_short | Visualizing profitability: A heatmap approach to evaluate Bitcoin futures trading using VMA trading rules |
title_sort | visualizing profitability: a heatmap approach to evaluate bitcoin futures trading using vma trading rules |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598531/ https://www.ncbi.nlm.nih.gov/pubmed/37885713 http://dx.doi.org/10.1016/j.heliyon.2023.e21376 |
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