Title: Stock price fluctuation based on mobile computing

Authors: Zhanqi Du; Hongwei Wang; Shiming Wang; Lizhen Zhang; Song Gao; Kaiqiang Guo

Addresses: School of Economics and Management, Tongji University, Shanghai 200092, China; College of Engineering, Shanghai Ocean University, Shanghai 201306, China ' School of Economics and Management, Tongji University, Shanghai 200092, China ' College of Engineering, Shanghai Ocean University, Shanghai 201306, China ' College of Engineering, Shanghai Ocean University, Shanghai 201306, China ' School of Economics and Management, Tongji University, Shanghai 200092, China ' School of Business, Jinggangshan University, Ji'an 343009, China

Abstract: Mobile computing, a relatively mature technique in the field of interactive mobile internet system, is widely used for forecasting the spatial locations and movements of user. This paper takes the stock price fluctuation as the location changes of mobile object, analyses the fluctuation features of stock price and proposes the forecasting model of stock price based on the mobile computing and local linear method. Taking stock S as an example in the Shanghai and Shenzhen stock markets, the paper collects a large amount of data and simulates the forecasting model of intraday stock price and daily closing price. Finally, the experiment results show that this model has good forecast precision and applicability.

Keywords: mobile computing; fluctuation model; stock price; forecasting technique.

DOI: 10.1504/IJWMC.2017.084820

International Journal of Wireless and Mobile Computing, 2017 Vol.12 No.3, pp.270 - 279

Received: 24 Jan 2017
Accepted: 12 Feb 2017
Published online: 29 Jun 2017 *

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