The study of behavioral finance integrates economic and psychological concepts to comprehend how psychological biases affect market behavior and financial decisions. Psychological biases significantly influence individuals’ financial decisions. In behavioral finance, identifying and mitigating these biases is essential to creating solutions for improved financial decision-making and risk management. This research is based on the underpinning theory-stimulus-organism-response (SOR) theory. It represents how an individual’s mental and emotional psychology reacts to external stimuli. These biases impact financial risk perception, investment behavior, decision-making, and procedures. Thus, this research considers the behavioral aspects, including loss aversion, overconfidence, personalization, autonomy, and trustworthiness. Hence, it offers a rational alternative to the emotional difficulties of often-biased human judgment. When robots replace traditional agents, data-driven models, algorithms, and technologies expand, thus automating the process of making investment decisions. This research provides an empirical study based on the behavioral aspect of human and robo-advisory financial decision-making for successful investment decisions.