Crude Oil Exchange Prediction
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Date
2019-11-20
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Publisher
Library Information Services, COMSATS University Islamabad, Lahore Campus.
Abstract
Exchange 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.
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Keywords
Crude Oil Exchange Prediction, Computer science, FA15, Exchange Market