Journal of Accounting and Management Vision

Journal of Accounting and Management Vision

The role of coaching based on ICF standards in reducing cognitive biases and improving emotional regulation in Forex and cryptocurrency traders

Document Type : -

Authors
1 PhD student in Information Technology Management, Hamedan Branch, Islamic Azad University, Hamedan, Iran.
2 Assistant Professor, Accounting Department, Hamedan Branch, Islamic Azad University, Hamedan, Iran.
3 Master's student in Financial Engineering and Risk Management, Iranian Electronic Higher Education Institute, Tehran, Iran.
Abstract
Sustainable performance in the forex and cryptocurrency markets is systematically undermined by a vicious and self-reinforcing cycle of cognitive biases and emotional-physiological dysregulation. The behavioral finance literature, drawing on concepts such as prospect theory and “loss aversion,” has well recognized these challenges; however, there is a significant gap between theoretical recognition of the problem and the provision of an integrated and practical intervention model. This structured review provides a new conceptual-practical framework by systematically synthesizing research in the fields of behavioral finance, coaching psychology, and psychophysiology. At the core of this model is professional coaching based on ICF standards, which serves as a central platform and developmental process. Rather than providing fragmented solutions, this framework allows for the integration and personalization of evidence-based tools. Specifically, this article details how to integrate two key interventions: heart rate variability (HRV) biofeedback to directly target physiological responses to stress and enhance autonomic nervous system resilience, and mindfulness exercises to increase attentional control, create stimulus-response distance, and reduce impulsive decision-making. This approach, based on the principles of brain-based coaching, facilitates the process of creating self-generated insights in the trader. Finally, this article demonstrates how this integrated model enables traders to go beyond mere knowledge of biases and develop sustainable self-regulatory skills to achieve optimal performance.
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