• Fakhre Alam
• Dr. Ashish Kumar
• Prof. Arun Vela

The presence of data today enables investors at any scale to make better investment decisions. The challenge is ingesting and interpreting the data to determine which data is useful, finding the signal in this sea of information. Question is can we use the content of news analytics to predict stock price performances. This paper shows the analysis of news data to predict stock prices. This unique opportunity will advance the state of research in understanding the predictive power of the news. This power if harnessed could help financial outcomes and generate significant economic impact all over the world. Here target is to predict the 10-day market residualized returns depending upon various price movements recorded at the close and open time of the market associated with that particular stock using news articles.

Stock, Investment, News, Market close time, Market open time, Market residuals return

"Using News Articles to predict stock movements based on different forecasting techniques, Statistical, Regression and Text Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.68-74, December-2018, Available :http://www.jetir.org/papers/JETIR1812910.pdf

"Using News Articles to predict stock movements based on different forecasting techniques, Statistical, Regression and Text Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp68-74, December-2018, Available at : http://www.jetir.org/papers/JETIR1812910.pdf