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Predicting SARS-CoV-2 Infection Trend Using Technical Analysis Indicators

OBJECTIVES: Coronavirus disease 2019 (COVID-19) pandemic is a global health emergency caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study aimed to evaluate whether technical analysis (TA) indicators, commonly used in the financial market to spot security price trend re...

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Autores principales: Paroli, Marino, Sirinian, Maria Isabella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411445/
https://www.ncbi.nlm.nih.gov/pubmed/32674742
http://dx.doi.org/10.1017/dmp.2020.254
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author Paroli, Marino
Sirinian, Maria Isabella
author_facet Paroli, Marino
Sirinian, Maria Isabella
author_sort Paroli, Marino
collection PubMed
description OBJECTIVES: Coronavirus disease 2019 (COVID-19) pandemic is a global health emergency caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study aimed to evaluate whether technical analysis (TA) indicators, commonly used in the financial market to spot security price trend reversals, might be proficiently used also to anticipate a possible increase of SARS-Cov-2 spread. METHODS: Analysis was performed on datasets from Italy, Iran, and Brazil. TA indicators tested were: (1) the combined use of a faster (3-d) and a slower (20-d) simple moving averages (SMA), (2) the moving average converge/divergence (MACD), and (3) the divergence in the direction of the number of new daily cases trend and the corresponding MACD histogram. RESULTS: We found that the use of both fast/slow SMAs and MACD provided a reliable signal of trend inversion of SARS-Cov-2 spread. Results were consistent for all the 3 countries considered. The trend reversals signaled by the indicators were always followed by a sustained trend persistence until a new signal of reversal appeared. CONCLUSIONS: TA indicators tested here proved to be reliable tools to identify in the short mid-term a subsequent change of direction of viral spread trend either downward, upward, or sideward.
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spelling pubmed-74114452020-08-10 Predicting SARS-CoV-2 Infection Trend Using Technical Analysis Indicators Paroli, Marino Sirinian, Maria Isabella Disaster Med Public Health Prep Brief Report OBJECTIVES: Coronavirus disease 2019 (COVID-19) pandemic is a global health emergency caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study aimed to evaluate whether technical analysis (TA) indicators, commonly used in the financial market to spot security price trend reversals, might be proficiently used also to anticipate a possible increase of SARS-Cov-2 spread. METHODS: Analysis was performed on datasets from Italy, Iran, and Brazil. TA indicators tested were: (1) the combined use of a faster (3-d) and a slower (20-d) simple moving averages (SMA), (2) the moving average converge/divergence (MACD), and (3) the divergence in the direction of the number of new daily cases trend and the corresponding MACD histogram. RESULTS: We found that the use of both fast/slow SMAs and MACD provided a reliable signal of trend inversion of SARS-Cov-2 spread. Results were consistent for all the 3 countries considered. The trend reversals signaled by the indicators were always followed by a sustained trend persistence until a new signal of reversal appeared. CONCLUSIONS: TA indicators tested here proved to be reliable tools to identify in the short mid-term a subsequent change of direction of viral spread trend either downward, upward, or sideward. Cambridge University Press 2020-07-17 /pmc/articles/PMC7411445/ /pubmed/32674742 http://dx.doi.org/10.1017/dmp.2020.254 Text en © Society for Disaster Medicine and Public Health, Inc. 2020 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Brief Report
Paroli, Marino
Sirinian, Maria Isabella
Predicting SARS-CoV-2 Infection Trend Using Technical Analysis Indicators
title Predicting SARS-CoV-2 Infection Trend Using Technical Analysis Indicators
title_full Predicting SARS-CoV-2 Infection Trend Using Technical Analysis Indicators
title_fullStr Predicting SARS-CoV-2 Infection Trend Using Technical Analysis Indicators
title_full_unstemmed Predicting SARS-CoV-2 Infection Trend Using Technical Analysis Indicators
title_short Predicting SARS-CoV-2 Infection Trend Using Technical Analysis Indicators
title_sort predicting sars-cov-2 infection trend using technical analysis indicators
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411445/
https://www.ncbi.nlm.nih.gov/pubmed/32674742
http://dx.doi.org/10.1017/dmp.2020.254
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