Open AccessStock Market Price Forecasting by Using Deep Learning
Author(s) -
M.Srinivasa Reddy,
Arun Gade,
Sreekarreddy,
Pooja Prabhu
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.12.16442
Subject(s) - stock market , cost price , market maker , stock market bubble , economics , stock (firearms) , financial economics , stock price , restricted stock , profit (economics) , econometrics , business , microeconomics , mechanical engineering , paleontology , horse , series (stratigraphy) , engineering , biology
Stock market forecasts are an attempt to determine the future value of corporate capital or other financial products consumed in the stock market. If the future stock price forecast succeeds, you can gain great profit. The efficient market presents all the current stock price information, which shows that price fluctuations are not the basis for unnecessary new information. Others disagree that people who have these ideas have many methods and techniques to help them get future information. [1]