Crude Oil Exchange Prediction

dc.contributor.authorMuhammad Tayyab Iqbal
dc.contributor.authorFA15-BCS-144
dc.contributor.authorZaheer Gondal
dc.contributor.authorLHR TP 6316
dc.date.accessioned2026-02-20T07:08:00Z
dc.date.issued2019-11-20
dc.description.abstractExchange Market have always been an unpredictable process. Every Analyst is always trying to understand the trend of the market. Over the time, many techniques have been used to predict the variating nature of the market. Main aim of the process is to acquire accuracy of the prediction. For which, there are some machine learning techniques. In this project, I will test and implement those techniques to get the most accurate prediction as possible. Predictions will assist a layman or an analyst to make a decision to either sell or buy or not.
dc.identifier.urihttps://repository.cuilahore.edu.pk/handle/123456789/1979
dc.publisherLibrary Information Services, COMSATS University Islamabad, Lahore Campus.
dc.relation.ispartofseriesLHR TP 6316; LHR TP 6316
dc.subjectCrude Oil Exchange Prediction
dc.subjectComputer science
dc.subjectFA15
dc.subjectExchange Market
dc.titleCrude Oil Exchange Prediction
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
6316.docx
Size:
188.85 KB
Format:
Microsoft Word XML

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
319 B
Format:
Item-specific license agreed to upon submission
Description: