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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 (...

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Detalles Bibliográficos
Autores principales: Day, Min-Yuh, Ni, Yensen, Hsu, Chinning, Huang, Paoyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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.
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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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