Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
An Intelligent Decision Support System for Crude Oil Trading
Download
Burcu_KocGoltas_Tez.pdf
Date
2023-9-06
Author
Koç Göltaş, Burcu
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
406
views
154
downloads
Cite This
Crude oil is one of the most traded commodities in the world. Traders engaged in the crude oil market for various purposes, such as generating profits and hedging pricerelated risks. Crude oil price is highly volatile as it is affected by a wide range of factors such as economic factors, political events, prices of other commodities, and financial instruments. Therefore, the biggest obstacle to profitable trading is the difficulty of keeping track of all factors affecting the market and the risks associated with price volatility. As a solution, this study examines all the factors that affect the crude oil market and provides an architecture for aggregating and processing these factors. It also holistically integrates technical, fundamental, and sentiment analysis methodologies and provides intelligent methods for their application to support crude oil trading decisions. A prototype of the proposed system was also implemented to demonstrate its applicability. This prototype demonstrates that predictive models accurately predict crude oil prices and that even the most basic trading methods may produce profitable outcomes.
Subject Keywords
Crude Oil, Financial Decision Support Systems, Fundamental Analysis, Technical Analysis, Design Science Research
URI
https://hdl.handle.net/11511/105401
Collections
Graduate School of Informatics, Thesis
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Koç Göltaş, “An Intelligent Decision Support System for Crude Oil Trading,” M.S. - Master of Science, Middle East Technical University, 2023.