Data Analytics and Business Intelligence Framework for Stock Market Trading

Batool Alarmouty; Salam Fraihat

doi:10.1109/ICTCS.2019.8923059

Data Analytics and Business Intelligence Framework for Stock Market Trading

Batool Alarmouty
, Salam Fraihat

Princess Sumaya University for Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

Business intelligence is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodologies. The efficiency of making decisions can increase significantly using business intelligence solutions, by taking advantage of the existing historical or realtime data of the business. Trading in stock markets is imminent with taking risks of losing money, which requires extensive experience in the market, to make efficient decisions. In this paper, we propose a framework that makes use of stock prices historical data, to help investors in making more efficient trading decisions.

Original language	English
Title of host publication	2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728128825
DOIs	https://doi.org/10.1109/ICTCS.2019.8923059
State	Published - Oct 2019
Externally published	Yes
Event	2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Amman, Jordan Duration: 9 Oct 2019 → 11 Oct 2019

Publication series

Name	2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings

Conference

Conference	2nd International Conference on New Trends in Computing Sciences, ICTCS 2019
Country/Territory	Jordan
City	Amman
Period	9/10/19 → 11/10/19

Keywords

Business Analytics
Business Intelligence
Data Analytics
Decision Support Systems
Stock Market

Access to Document

10.1109/ICTCS.2019.8923059

Cite this

Alarmouty, B., & Fraihat, S. (2019). Data Analytics and Business Intelligence Framework for Stock Market Trading. In 2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings Article 8923059 (2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTCS.2019.8923059

Alarmouty, Batool ; Fraihat, Salam. / Data Analytics and Business Intelligence Framework for Stock Market Trading. 2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings).

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title = "Data Analytics and Business Intelligence Framework for Stock Market Trading",

abstract = "Business intelligence is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodologies. The efficiency of making decisions can increase significantly using business intelligence solutions, by taking advantage of the existing historical or realtime data of the business. Trading in stock markets is imminent with taking risks of losing money, which requires extensive experience in the market, to make efficient decisions. In this paper, we propose a framework that makes use of stock prices historical data, to help investors in making more efficient trading decisions.",

keywords = "Business Analytics, Business Intelligence, Data Analytics, Decision Support Systems, Stock Market",

author = "Batool Alarmouty and Salam Fraihat",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 ; Conference date: 09-10-2019 Through 11-10-2019",

year = "2019",

month = oct,

doi = "10.1109/ICTCS.2019.8923059",

language = "English",

series = "2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings",

address = "United States",

}

Alarmouty, B & Fraihat, S 2019, Data Analytics and Business Intelligence Framework for Stock Market Trading. in 2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings., 8923059, 2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019, Amman, Jordan, 9/10/19. https://doi.org/10.1109/ICTCS.2019.8923059

Data Analytics and Business Intelligence Framework for Stock Market Trading. / Alarmouty, Batool; Fraihat, Salam.
2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8923059 (2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Business intelligence is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodologies. The efficiency of making decisions can increase significantly using business intelligence solutions, by taking advantage of the existing historical or realtime data of the business. Trading in stock markets is imminent with taking risks of losing money, which requires extensive experience in the market, to make efficient decisions. In this paper, we propose a framework that makes use of stock prices historical data, to help investors in making more efficient trading decisions.

AB - Business intelligence is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodologies. The efficiency of making decisions can increase significantly using business intelligence solutions, by taking advantage of the existing historical or realtime data of the business. Trading in stock markets is imminent with taking risks of losing money, which requires extensive experience in the market, to make efficient decisions. In this paper, we propose a framework that makes use of stock prices historical data, to help investors in making more efficient trading decisions.

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KW - Data Analytics

KW - Decision Support Systems

KW - Stock Market

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DO - 10.1109/ICTCS.2019.8923059

M3 - Conference contribution

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T3 - 2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings

BT - 2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Alarmouty B, Fraihat S. Data Analytics and Business Intelligence Framework for Stock Market Trading. In 2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8923059. (2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings). doi: 10.1109/ICTCS.2019.8923059

Data Analytics and Business Intelligence Framework for Stock Market Trading

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