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A Proposed Model for Stock Price Prediction Based on Financial News
Mubarek Selimi
; South East European University, Republic of North Macedonia
Adrian Besimi
orcid.org/0000-0003-2093-5500
; South East European University, Republic of North Macedonia
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.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Keywords
Hrčak ID:
250999
URI
Publication date:
31.10.2019.
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