# 60 302-306 View full article

УДК 330:336.76:004.8:159.9

DOI: https://doi.org/10.36887/2415-8453-2025-4-60

Schuchmann Vadim,
Candidate for the degree of Doctor of Philosophy, Department of Economic Cybernetics and Informatics,
West Ukrainian National University,
https://orcid.org/0000-0002-1427-3312
Trubitsyna Oksana,
Student of the Second (Master's) Level of Higher Education at the Department of Audit,
West Ukrainian National University
https://orcid.org/0009-0003-8353-7929

JEL classification: G41, G12, C45, O33

Published: 19.12.2025

The article examines the use of artificial intelligence tools to support psycho-emotional regulation and self-control among cryptocurrency market participants during periods of heightened volatility. It is argued that 24/7 trading, strong price sensitivity to information shocks, and fragmented liquidity create a persistent environment of uncertainty and time pressure. Such conditions amplify behavioral reactivity, intensify FOMO, increase susceptibility to cognitive biases, and raise the likelihood of impulsive entries/exits and deviations from predefined risk-management rules. The paper clarifies the functionally acceptable scope of AI support in this context: structuring actions and restoring risk discipline through short «pause → reflect → check risk management» protocols, limit reminders, attention stabilization, and reinforcement of autonomous decision-making rather than price forecasting. Key vulnerability zones in AI deployment in a finance-sensitive setting are outlined, including unreliable or hallucinated content, excessive reliance and responsibility shifting, privacy and data-security weaknesses, and the blurring of supportive guidance and actionable investment advice. Emphasis is placed on the need for compliance-oriented safeguards – language and interaction constraints, transparent functional boundaries, and escalation or restriction mechanisms – to prevent AI outputs from being interpreted as personalized recommendations, particularly during peak volatility periods when users seek external certainty. The findings support a framework in which AI can reduce psycho-emotional load and improve decision-process consistency without crossing regulatory or ethical lines associated with investment consulting.

Keywords: cryptocurrency market, digital assets, risk management, artificial intelligence, psycho-emotional relief, digital transformation, financial services, compliance, investment risks.

Rеferences

  1. Gaies B., Nakhli M.S., Sahut J.-M., Schweizer D. (2023). «Interactions between investors’ fear and greed sentiment and Bitcoin prices». The North American Journal of Economics and Finance. Vol. 67. рр. DOI:https://doi.org/10.1016/j.najef.2023.101924.
  2. Bourghelle D., Jawadi F., Rozin P. (2022). «Do collective emotions drive bitcoin volatility? A triple regime-switching vector approach». Journal of Economic Behavior & Organization. Vol. 196. рр. 294- DOI: https://doi.org/10.1016/j.jebo.2022.01.026.
  3. Koch S., Dimpfl T. (2023). «Attention and retail investor herding in cryptocurrency markets». Finance Research Letters. Vol. 51. рр.  DOI:https://doi.org/10.1016/j.frl.2022.103474.
  4. Friederich F., Meyer J.-H., Matute J., Palau-Saumell R. (2024). «CRYPTO-MANIA: How fear-of-missing-out drives consumers’ (risky) investment decisions». Psychology & Marketing. 41(1). рр. 102–117. DOI:https://doi.org/10.1002/mar.21906.
  5. Gerrans P., Abisekaraj S.B., Liu Z. (Frank). (2023). «The fear of missing out on cryptocurrency and stock investments: Direct and indirect effects of financial literacy and risk tolerance». Journal of Financial Literacy and Wellbeing. Vol. 1. Issue 1. 103-137. DOI:https://doi.org/10.1017/flw.2023.6.
  6. Kaur M., Jain J., Sood K. (2024). «All are investing in Crypto, I fear of being missed out”: examining the influence of herding, loss aversion, and overconfidence in the cryptocurrency market with the mediating effect of FOMO». Quality & Quantity. Vol. 58(3). рр. 2237- DOI:https://doi.org/10.1007/s11135-023-01739-z.
  7. Wang J.-N., Liu H.-C., Hsu Y.-T. (2024). «A U-shaped relationship between the crypto fear-greed index and the price synchronicity of cryptocurrencies». Finance Research Letters. Vol. 59. рр. DOI:https://doi.org/10.1016/j.frl.2023.104763.
  8. Sobowale K., Humphrey D.K. (2025). «Evaluating the Quality of Psychotherapy Conversational Agents: Framework Development and Cross-Sectional Study». JMIR Formative Research. Vol. 9. рр. DOI:https://doi.org/10.2196/65605.
  9. Balan R., Dobrean A., Poetar C.R. (2024). «Use of automated conversational agents in improving young population mental health: a scoping review». Digital Medicine. Vol. 7. DOI:https://doi.org/10.1038/s41746-024-01072-1.
  10. Zhong W., Luo J., Zhang H. (2024). «The therapeutic effectiveness of artificial intelligence-based chatbots in alleviation of depressive and anxiety symptoms in short-course treatments: a systematic review and meta-analysis». Journal of Affective Disorders. Vol. 356. рр.459–469. DOI: https://doi.org/10.1016/j.jad.2024.04.057.
  11. Lawrence H.R., Schneider R.A., Rubin S.B., Matarić M.J., McDuff D.J., Jones Bell M. (2024). «The Opportunities and Risks of Large Language Models in Mental Health». JMIR Mental Health. Vol. 11. рр. DOI:https://doi.org/10.2196/59479.
  12. Obradovich N., Khalsa S.S., Khan W.U., Suh J., Perlis R.H., Ajilore O., Paulus M.P. (2024). «Opportunities and risks of large language models in psychiatry». NPP – Digital Psychiatry and Neuroscience. Vol. 2. DOI:https://doi.org/10.1038/s44277-024-00010-z.

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Schuchmann Vadim, Trubitsyna Oksana. . Artificial intelligence as a means of psycho-emotional regulation under increased cryptocurrency market volatility. The journal "Ukrainian Journal of Applied Economics and Technology". 2025 / #4. 302-306pp. https://doi.org/10.36887/2415-8453-2025-4-60

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Schuchmann Vadim, Trubitsyna Oksana. "Artificial intelligence as a means of psycho-emotional regulation under increased cryptocurrency market volatility". The journal "Ukrainian Journal of Applied Economics and Technology". . https://doi.org/10.36887/2415-8453-2025-4-60

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