Open Access Open Access  Restricted Access Subscription Access

Stock Market Prediction

Dhanlaxmi N

Abstract


The expectation of a securities exchange direction might act as a suggestion device for transient financial backers and as an early monetary gamble controller instrument for long haul investors. Determining precision is the main figure choosing any anticipating techniques. Research endeavors in lessening the blunder element of forecast models are expanding these days. The legitimate offer determinations those are reasonable for speculation is a truly challenging undertaking. The main thought process in every financial backer is to amplify their benefits on their speculations. In Securities exchange Expectation and Reenactment, the point is to foresee the future worth of the monetary supplies of an organization and perform recreation for aiding fledglings. The securities exchange anticipating can be performed via preparing our forecast model utilizing AI calculations, financial exchange pointers and past qualities. In reenactment framework will help fledgling by showing and refreshing the anticipated information with the assistance of designs. Component of fake cash is likewise remembered for our framework. With the assistance of fake cash, fledglings can attempt Financial exchange without facing challenge.

 


Full Text:

PDF

References


M. Usmani, S. H. Adil, K. Raza and S. S. A. Ali, "Stock market prediction using machine learning techniques," 2016 3rd International Conference on Computer and Information Sciences (ICCOINS), Kuala Lumpur, 2016, pp. 322-327.

K. Raza, "Prediction of Stock Market performance by using machine learning techniques," 2017 International Conference on Innovations in Electrical Engineering and Computational Technologies (ICIEECT), Karachi, 2017, pp. 1-1.

H. Gunduz, Z. Cataltepe and Y. Yaslan, "Stock market direction prediction using deep neural networks," 2017 25th Signal Processing and Communications Applications Conference (SIU), Antalya, 2017, pp. 1-4.

M. Billah, S. Waheed and A. Hanifa, "Stock market prediction using an improved training algorithm of neural network," 2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), Rajshahi, 2016, pp. 1-4.

H. L. Siew and M. J. Nordin, "Regression techniques for the prediction of stock price trend," 2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE), Langkawi, 2012, pp. 15.

K. V. Sujatha and S. M. Sundaram, "Stock index prediction using regression and neural network models under non normal conditions," INTERACT-2010, Chennai, 2010, pp. 59-63.

S. Liu, G. Liao and Y. Ding, "Stock transaction prediction modelling and analysis based on LSTM," 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA), Wuhan, 2018, pp. 2787-2790


Refbacks

  • There are currently no refbacks.