• Aijaz Ahmad Reshi
• Pallivi Sharma

Stock market investments strategies are always complex and extremely tough to understand as the quantum of data is very high. The most common tool used for predicting the future price of various Financial Instruments is trend approach that is based on calculating the future of an event from it historical database. In some of the cases observing a trend is not that though, but in some of the cases it proves worthless.It was also observed that share that shows future trend may or may not be Correlated, in simple terms it can be concluded that it is not necessary to shares need to have correlation then they will show a trend but it found that shares who are not correlated have shown a trend and future prediction. In answering the third question it is not possible to get the exact and real future pricing predictions but yes to get somehow close to the real, it is definitely possible and feasible.

Stock market, machine learning, Neural Networks and regression.

"A STUDY ON BIG DATA ANALYTICS BY USING MACHINE LEARNING FOR PREDICTING FUTURE PRICES OF SELECTED FINANCIAL INSTRUMENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.c98-c102, September-2022, Available :http://www.jetir.org/papers/JETIR2209230.pdf

"A STUDY ON BIG DATA ANALYTICS BY USING MACHINE LEARNING FOR PREDICTING FUTURE PRICES OF SELECTED FINANCIAL INSTRUMENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppc98-c102, September-2022, Available at : http://www.jetir.org/papers/JETIR2209230.pdf