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covers data of more than 7 lakh data rows from January 2004 to December 2021. Data
preprocessing is done to calibrate it statistically after the input data has been collected.
The analytical comparison analysis is conducted using several ML based methodologies
like Decision Tree, SVM, SMO, J48, and MLP Classifier. This was done in order to
determine the ideal approach for putting the suggested model into practice.

The thesis is divided into five chapters and each focuses on the what, how, and why for a
comprehensive look at the topic. Initial background information on the research is
presented in Chapters 1 and 2, which also includes substantial citations from the relevant
literature. Topics related to the actual planning of the study are discussed in Chapter 3. In
chapter 4, the results and discussion of the proposed model’s actual implementation are
revealed. The final chapter draws conclusions and explores the implications of the
proposed research effort and how it expands the scope of the present study.

Key words: Bulk Deal, Volume, Trade Pattern, NSE, ROI, Technical Analysis, Predictive
Model, MLP Classifier, Machine Learning Algorithm, Stock Market

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