• Dhananjay Patil
• Shraddha Magdum
• Harshwardhan Patil
• Pranav Nerkar
• Parmeshwar Kokare

The aim of this project is to utilize machine learning techniques to make predictions about the future performance of a particular stock or a portfolio of stocks. The use of machine learning techniques has shown promising results in predicting stock prices and has become a popular approach in finance and investment research. The main goal of this project is to leverage stock price prediction using machine learning algorithms to facilitate more informed and accurate investment decisions. Our proposed system for predicting stock prices integrates mathematical functions, machine learning algorithms, and external factors to improve prediction accuracy and ultimately generate profitable trades. Although accurately predicting the actual stock price is challenging, it can develop a model that forecasts whether the price will increase or decrease using machine learning techniques.

Stock Price Prediction, Linear Regression, Long and Short-Term Memory Network (LSTM) .

"PRICE PRDICTION OF STOCK MARKET USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.13-20, May-2023, Available :http://www.jetir.org/papers/JETIRFX06003.pdf

"PRICE PRDICTION OF STOCK MARKET USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp13-20, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06003.pdf