Foreign exchange forecasting system
Foreign exchange forecasting system
Date
2019-07-02
Authors
Nakabiri, Veron
Kayiira, Trevor Duane
Kyobe, Jeremiah
Kusiimakwe, Martin
Journal Title
Journal ISSN
Volume Title
Publisher
Makerere University
Abstract
In this project we used Auto ARIMA and LSTM to make predictions and also compare the performance of these two models in the prediction of the foreign currencies. It was discovered that the LSTM model gave better accuracy than the Auto-ARIMA model in the prediction of the foreign exchange currencies. The prediction results of the models were illustrated in a web application constructed with responsive and intuitive web user interface design, which enables easy and user-friendly interpretation of the prediction results.
Description
A project proposal submitted to the school of Computing and Informatics Technology for the study leading to a project report in partial fulfillment of the requirements for the award of the degree of bachelor of science in computer science of Makerere University
Keywords
Auto ARIMA and LSTM models,
Foreign currency prediction models