A Proposed Model for Stock Price Prediction Based on Financial News

2019 ENTRENOVA Conference Proceedings

8 Pages Posted: 11 Dec 2019

See all articles by Mubarek Selimi

Mubarek Selimi

South East European University (SEEU)

Adrian Besimi

South East European University (SEEU)

Date Written: September 12, 2019

Abstract

In this paper we will propose a model and needed steps that one should undertake in order to try and predict potential stock price fluctuation solely based on financial news from relevant sources. The paper will start with providing background information on the problem and text mining in general, furthermore supporting the idea with relevant research papers needed to focus on the problem we are researching. Our model relies on existing text-mining techniques used for sentiment analysis, combined with historical data from relevant news sources as well as stock data.

Keywords: text mining, finance, news, crawling, stock, prices, prediction, naïve bayes

JEL Classification: C89

Suggested Citation

Selimi, Mubarek and Besimi, Adrian, A Proposed Model for Stock Price Prediction Based on Financial News (September 12, 2019). 2019 ENTRENOVA Conference Proceedings. Available at SSRN: https://ssrn.com/abstract=3490159 or http://dx.doi.org/10.2139/ssrn.3490159

Mubarek Selimi (Contact Author)

South East European University (SEEU) ( email )

Ilindenska nn
Tetovo, 1200
Macedonia

Adrian Besimi

South East European University (SEEU) ( email )

Ilindenska nn
Tetovo, 1200
Macedonia

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