การวิเคราะห์ความเครียดของนักลงทุนในตลาดสกุลเงินดิจิทัล

Abstract

Stress is the cause of investing mistakes. Investors in the investment market include retail investors and large investors who have a significant impact on the country's economy. Therefore, it is necessary to be aware of the state of mind that is affected by greed or fear and at what level. Greed and fear reflect the stressful state of the body. Normal stress measurements require a test that is subject to bias and cannot measure in real-time. เท this research, an experiment is designed based on a modification of The Trier Social Stress Test (TSST) to develop a device that can measure and analyze the quantitative stress of investors in the cryptocurrency market. The device measures signal detection photoplethysmography (PPG), body temperature, and galvanic skin response (GSR) through trading simulations generated using a MATLAB program. From the analysis and evaluation, it was found that when investors see price fluctuations, they get stressed out while trading. The device can assess stress from signal processing as a value of various metrics. When considering the trend of change of various metrics and analyzing statistical data, it is found that the average of heart rate (avHRs) is change significantly which can be used to analyze and assess stress.