Artificial Intelligence in Stock Market Trading Application: Perception of Traders: A Qualitative Investigation

  • G Vasanth Kumar, Priya J, Mariella Jenifer

Abstract

Artificial Intelligence refers to the duplication of human intellect in machines which think and learn. A few studies on AI split into four brackets they are, it’s a framework that surmises like an individual (Haugeland, 1985; Bellman, 1978), rational thought (Charniak & McDermott, 1985; Winston, 1992), like an individual (Rich & Knight, 1991) (Kurzweil, 1990) and act rationally (Schalkoff, 1990; Luger & Stubblefield, 1993); as expressed by (Bersin, 2017), AI is presently flying in greater parts of the courseware and now it is coordinating into considerable businesses. The objective of this study predominantly concentrates on the reasons for acceptance, betterment, provocation and proposal with reference to stock market trading AI based applications with respect to day traders and investors of India. A qualitative thematic analysis availing a core study discloses transparency, flat rate model, diagnosing complex data with reduced differential brokerage fee that increases the confidence level among the day traders and investors. And the study also contributes to the theory of building artificial intelligence, machine and deep learning. Primary data is collected through a Dedoose application which was utilized to generate a 3D Code cloud, and the code weight measurements have been performed utilizing the Dedoose programming and a model has been worked.

Published
2020-06-01
How to Cite
G Vasanth Kumar, Priya J, Mariella Jenifer. (2020). Artificial Intelligence in Stock Market Trading Application: Perception of Traders: A Qualitative Investigation. International Journal of Advanced Science and Technology, 29(06), 8288-8304. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/25274