Usage of Artificial Intelligence and Machine Learning in Share Market

Authors

  • Apeksha Sharma
  • Manish Mathuria

DOI:

https://doi.org/10.37591/joosdt.v8i3.155

Keywords:

Artificial intelligence, share market, TEW algorithm, artificial neural network (ANN), time delay neural network (TDNN), probabilistic neural network (PNN)

Abstract

Lately, because of the fast improvement of man-made consciousness (AI) and Machine Learning, its application has been broadly utilized in numerous parts of monetary zone, just as essentially impacts share market, organizations and guideline. The man-made reasoning innovation carries tremendous change to the whole money related industry, which makes a progression of inventive monetary administrations, for example, shrewd advisor, wise loaning, observing and cautioning, and keen client support as times required. In this paper, it expects to sum up the use, advancement and use of manmade consciousness and AI in share advertise. Meanwhile, it is understood that a progression of issues and dangers were directed by computerized reasoning during its utilization. Finally, a few models are given of utilization of computerized reasoning in share advertise.

References

F Li, ZH Han, EY Feng. Financial data analysis based on machine learning [J]. Sciences & Wealth, 2016, 6: 624.

WQ Huang, XT Zhuang, S Yao. A network analysis of the Chinese stock market [J]. Physica A Statistical Mechanics & Its Applications. 2009, 388 (14): 2956–2964.

T Preis, DY Kenett, HE Stanley, D Helbing, E Benjacob. Quantifying the behavior of stock correlations under market stress [J]. Scientific Reports, 2012, 2 (7420): 752.

RT Bayes. An essay towards solving a problem in the doctrine of chances [J]. Resonance, 2003, 8: 80–88.

JE Sorensen. Bayesian analysis in auditing [J]. Accounting Review, 1969, 44(3): 555–561.

Yuzhun liang. Stock market forecasting based on ar T forecasting based on artificial intelligence technology. A Project Presented to the Faculty of California State University, San Bernardino. 2021.

Sohrab Mokhtari, et al. Effectiveness of Artificial Intelligence in Stock Market Prediction based on Machine Learning. International Journal of Computer Applications. 2021. https://ideas.repec.org/p/arx/papers/2107.01031.html

OECD (2021), Artificial Intelligence, Machine Learning and Big Data in Finance: Opportunities, Challenges, and Implications for Policy Makers, https://www.oecd.org/finance/artificial-intelligence-machine-learningbig-data-in-finance.htm .

Gopinath Natarajan. AI in investing is about human empowerment, not displacement. 2020. https://economictimes.indiatimes.com/markets/stocks/news/ai-in-investing-is-about-human-empowerment-not-displacement/articleshow/83685863.cms?from=mdr

Puneet Tewani. How AI can solve trader's never-ending search for edge in markets. https://www.moneycontrol.com/news/business/markets/how-ai-can-solve-traders-never-ending-search-for-edge-in-markets-7155131.html

Published

2022-02-08

How to Cite

Sharma, A. ., & Mathuria, M. . (2022). Usage of Artificial Intelligence and Machine Learning in Share Market. JOURNAL OF OPERATING SYSTEMS DEVELOPMENT &Amp; TRENDS, 8(3), 16–19. https://doi.org/10.37591/joosdt.v8i3.155