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.
