• Prishita Yadav
• Pradnya Ghadge
• Grunthali Tulaskar
• Rohini Margane

In Stock Market Prediction, the main aim is to predict the future value of the stocks of a company. The latest trend in stock market prediction technologies is the use of machine learning techniques which makes predictions based on the values of current stock market indices by training on their previous values. Machine learning itself employs different models to make prediction effortless and more genuine. In this project, we are proposing not only a machine learning model to predict the future value of the financial stock of the company but we are also performing behavioral analysis of the customer to help him/her buy/sell the stock based on the market up/down to avoid future loss of the customer. For this, we are applying a machine learning model to check the behavioral analysis of customers by setting some threshold value which will help to automatic trigger to buy/sell of the stock of existing customers.

"Algorithmic Trading Using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.h600-h604, May-2023, Available :http://www.jetir.org/papers/JETIR2305774.pdf

"Algorithmic Trading Using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pph600-h604, May-2023, Available at : http://www.jetir.org/papers/JETIR2305774.pdf