• Shreeshail Vitkar
• Rashmi Mali
• Suraj Parge
• Rashmi Tundalwar

The successful prediction of a stock's future price could yield significant profit. The efficient-market hypothesis suggests that stock prices reflect all currently available information and any price changes that are not based on newly revealed information thus are inherently unpredictable. Recent work on this issue shows initial evidence that machine learning techniques are capable of identifying dependency in the stock market price sequences, However, due to the high volatility and non-stationary nature of the stock market, forecasting the trend of a financial time series remains a big challenge. But in this project we try to reflect Market Sentimental the information that collect from Market Traders, News Agencies and Stocks Brokers along with Technical and Fundamentals of company we process information with high performance Machine Learning and Data Analytics and get the result in four major category that is Quality(Long term financial),Valuation(Attractiveness),Financial Trend(Current financial trend), Technical(Short/Long trend)

Stock, Prediction, Analytics, Prediction, Finance, Short Term, Long Term, Fundamental

"Stock Market Prediction Using Machine Learning and Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.684-688, June 2019, Available :http://www.jetir.org/papers/JETIR1908254.pdf

"Stock Market Prediction Using Machine Learning and Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp684-688, June 2019, Available at : http://www.jetir.org/papers/JETIR1908254.pdf