PANDEMIC-DRIVEN BITCOIN PRICE DYNAMICS, ARTIFICIAL INTELLIGENCE PREDICTION, AND THE LOOMING QUANTUM THREAT

Autores/as

  • Leandro Jorge Yacoubian Universidad Siglo 21, Argentina
  • Grigor Sahak Ketenchian Los Angeles City College, California, United States
  • Daniel Santo Padilla Garcia Instituto Federal de Educação, Ciência e Tecnologia do Ceara, IFCE, Ceara, Brasil

DOI:

https://doi.org/10.55892/jrg.v3i6.664

Palabras clave:

Bitcoin, COVID-19, Artificial Intelligence, Quantum Computing

Resumen

This study analyzes the price dynamics of Bitcoin within the context of the COVID-19 pandemic, exploring its debated role as a safe-haven or speculative asset. The research addresses how global economic uncertainty, catalyzed by the pandemic declaration on March 11, 2020, renewed interest in decentralized crypto-assets. Furthermore, two crucial technological factors shaping Bitcoin's future are considered: the growing application of artificial intelligence (AI) in predicting its volatile prices and the long-term threat that quantum computing poses to its cryptographic security. The methodology employed is qualitative and scenario-based, using historical price data only as a contextual baseline. Price projections are not derived from econometric models but are hypothetical estimates founded on the authors' interpretive judgment of investor psychology, particularly the tendency of wealthy investors to accumulate assets during crises. The study projects three scenarios: in the short-term (July 2020), a price between $9,000 and $10,000; in the medium-term (end of 2020), a value of $26,629; and in the long-term (2021), a price of at least $50,000. It is concluded that while precise prediction is impossible, Bitcoin's structural scarcity and strong speculative demand provide it with resilience. The analysis underscores that market sentiment is a key driver of its valuation.

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Biografía del autor/a

Leandro Jorge Yacoubian, Universidad Siglo 21, Argentina

Business Administration Student at Universidad Siglo 21.

Grigor Sahak Ketenchian, Los Angeles City College, California, United States

Master of Arts in East Asian Studies (with a focus on Japanese Linguistics), University of California.

Daniel Santo Padilla Garcia, Instituto Federal de Educação, Ciência e Tecnologia do Ceara, IFCE, Ceara, Brasil

Bachelor’s degree in Accounting Sciences and in Financial Management, both from Universidade Estácio de Sa.

Citas

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Publicado

2020-04-30

Cómo citar

YACOUBIAN, L. J.; KETENCHIAN, G. S.; GARCIA, D. S. P. PANDEMIC-DRIVEN BITCOIN PRICE DYNAMICS, ARTIFICIAL INTELLIGENCE PREDICTION, AND THE LOOMING QUANTUM THREAT. JRG Journal of Academic Studies , Brasil, São Paulo, v. 3, n. 6, p. 296–306, 2020. DOI: 10.55892/jrg.v3i6.664. Disponível em: http://revistajrg.com/index.php/jrg/article/view/664. Acesso em: 17 sep. 2025.

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