Machine Language Advancements in Identification of Insider Trading

Divyank Gupta , Saumya Joshi , Samarth Jain , Radhika Baid

Illegal Insider Trading; Legal Insider Trading; Artificial Intelligence, Machine Learning; Extreme Gradient Boost; SEBI; Decision Tree; Dense Neural Network; Random Forest Classifier.

As Information Technology has progressed over time, issues like noise and multiple data sources have made it a tedious assignment to identify insider trading. A trading is known as illegal insider trading when people privy to the information which is not available to the general public indulge in trading based on this information. They may be people working in the company who have access to confidential information or their relatives, friends or others who have been tipped off about the information. Illegal insider trading might have been going on for decades, but these were going unnoticed in most of the cases. With the development of Machine Learning, it has become possible to design software that has made it easy to assess the data and identify illegal insider trading. In this review paper, we aim to compare the various models that researchers and experts have proposed over time and scale down to the most accurate ones in terms of variety in industry and information.

Published Paper   E-Certificate

"Machine Language Advancements in Identification of Insider Trading", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 11, page no.442 - 446, November-2022, Available :https://ijsdr.org/papers/IJSDR2211070.pdf

Volume 7 Issue 11, November-2022

Pages : 442 - 446

Paper Reg. ID: IJSDR_202561

Published Paper Id: IJSDR2211070

Downloads: 000347174

Research Area: Computer Science & Technology 

Country: Navi Mumbai, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2211070

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2211070

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition