Real-Time Stock Prediction using Neural Network

被引：0

作者：

Shakya, Abin ^{[1
]}

Pokhrel, Anuj ^{[1
]}

Bhattarai, Ashuta ^{[1
]}

Sitikhu, Pinky ^{[1
]}

Shakya, Subarna ^{[1
]}

机构：

[1] Tribhuwan Univ, Dept Elect & Comp Engn, IOE, Pulchowk Campus, Dharan, Nepal

来源：

PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE CONFLUENCE 2018 ON CLOUD COMPUTING, DATA SCIENCE AND ENGINEERING | 2018年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Stock price prediction has been a trending yet mystifying topic for a very long time now. The fact that the stock price on short-term are the result of public reaction to rumours and are moreover, associated with public psychology, has made it tricky for the general people to get an insight on the market. This paper presents a method to predict stock prices of companies listed under Nepal Stock Exchange Limited at an interval of every two minutes. The paper describes an approach to comprehend instant public preferences through traded share volume, number of transactions and price fluctuation analysis. The result of these analysis are fed to Neural Network, which then predicts the percentage change in stock price.

引用

页码：71 / 74

页数：4

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