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Article . 2025
License: CC BY
Data sources: Datacite
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Article . 2025
License: CC BY
Data sources: Datacite
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PSYCHOLOGICAL CHALLENGES IN HIGH-FREQUENCY TRADING: STRESS, DECISION-MAKING, AND RISK MANAGEMENT

Authors: Ezoza Abrorovna Sayliyeva; Manzura Kholboyevna Begimova;

PSYCHOLOGICAL CHALLENGES IN HIGH-FREQUENCY TRADING: STRESS, DECISION-MAKING, AND RISK MANAGEMENT

Abstract

High-frequency trading (HFT) exposes traders to intense psychological pressures due to rapid market fluctuations, high uncertainty, and the need for split-second decisions. This paper explores the key psychological challenges faced by HFT practitioners, including stress, cognitive overload, emotional imbalance, and decision fatigue. The study analyses how these factors affect judgment accuracy, risk-taking behavior, and overall performance. It also highlights the importance of psychological resilience, effective stress-management strategies, and disciplined risk-management frameworks in minimizing human error. Understanding these psychological dimensions is crucial for developing healthier trading environments and enhancing the stability and efficiency of modern financial markets.

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Keywords

high-frequency trading; trader psychology; stress; cognitive overload; emotional regulation; decision-making; risk management; financial behavior.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green