فهرست نشریات علمی دسترسی آزاد ایران

This research aims to present a self-regulation model for cryptocurrency market traders and its impact on trading volume fluctuations. This study was conducted in two phases: qualitative and quantitative. In the qualitative phase, thematic analysis and grounded theory were employed. The interviewees in the qualitative section were academic experts with a scientific background related to financial and cryptocurrency markets, with 10 individuals considered as the expert group. The statistical population in the quantitative phase consisted of those who had traded in financial markets at least once, totaling 384 individuals. After coding the interviews at three levels—initial, axial, and selective—148 initial concepts were extracted, which were categorized into 37 subcategories and seven dimensions. Subsequently, the results of the qualitative section of research were confirmed using the Delphi method and structural equation modeling. The results indicate that the strategies of the model include creating a trading plan, using algorithms and analytical tools, controlling emotions, setting specific goals, continuous education and learning, regular analysis and evaluation, and risk management. Ultimately, the self-regulation of cryptocurrency market traders leads to consequences such as access to new technologies, effective governance, access to financial and technological resources, expansion of research and development areas, increased productivity, development of financial technologies, enhanced creativity and innovation, agility, system transparency, service diversity, improvement of services and security, joint investment, newer and faster services, creation of a collaborative ecosystem, improved customer experience, increased credibility, new market opportunities, cost reduction, and the establishment of a shared understanding of goals and needs.