Show simple item record

dc.contributor.authorMutungi, Ambrozio
dc.contributor.authorMuhire, Innocent,
dc.contributor.authorMusiimennt, Givious
dc.contributor.authorKagimu, Edward
dc.date.accessioned2023-12-13T09:46:08Z
dc.date.available2023-12-13T09:46:08Z
dc.date.issued2023-07-19
dc.identifier.citationMutungi, A. et al. (2023) Forex market trading advisory and forecasting (FMTAF). Undergraduate dissertation Makerere Universityen_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/17762
dc.descriptionA project report submitted to the School of Computing and Informatics Technology for the study leading to a project in partial fulfillment of the requirements for the Award of the Degree of Bachelor of Science in Software Engineering of Makerere Universityen_US
dc.description.abstractThe foreign exchange market, known as Forex or FX, is a financial market where currencies are bought and sold simultaneously. Forex is the world’s largest financial market, with a volume of more than $6 trillion being traded daily. It is a decentralized market that operates 24 hours a day, except for weekends, which makes it quite different from other financial markets. In the past, it was a business for big banks and hedge funds, but now with advances in technology and the internet, even retail traders and trading companies access the market through brokers. The trading company or a retail trader makes profits when it predicts the directional market movement correctly and losses when they predict it wrong. A trader can enter the trades by either buying with an anticipation that the base currency is going to rise or sell with an anticipation that the base currency is going to weaken. Despite some financial experts here seeing it as the market that Ugandan youth and other investors can tap to make money, trading is sophisticated not just to newbies but even established companies and trading experts since it depends on many technical and fundamental factors and it's hard to know the market trend and identify trading opportunities in the financial market. In our final year project, we intend to solve the above problem by developing an automated Forex Market Trading Advisory and Forecasting (FMTAF) system that utilizes a machine learning algorithm to analyze the forex market depending on different technical factors to predict and forecast market movements to help traders carry out informed decisions.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectForex marketen_US
dc.subjectforeign exchange marketen_US
dc.subjectfinancial marketen_US
dc.titleForex market trading advisory and forecasting (FMTAF)en_US
dc.typeThesisen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record