Kayode Akinbode

Multi-level Pattern Prediction of Unstructured Financial Data

Extended Hidden Markov Decision Model Prediction System

• Broschiertes Buch

Produktbeschreibung

Predicting the future is one aspect in designing profitable day trading strategies. Technical analysis analyses price, volume and other market information, whereas fundamental analysis looks at the facts of the company, market, currency or commodity. Most large brokerage, trading group, or financial institutions will typically have both a technical analysis and fundamental analysis team. Technical analysis is considered for the research work. The design of HMDM based stock market trend prediction system and the EHHMM for predicting the future trend of the CBOE and Nigerian 7up bottling company data is presented in this research work. Features are extracted from the historical CBOE closing price data. Extracted features are used to generate the prediction. HHMMs are useful in applications dealing with sequences of symbols. It is observed by study that the EHMDM based system is more accurate than the HMDM based system. It was observed that the EHMDM combined with EST prediction system produces a better accuracy. The HMDM combined with MAT prediction system, with hidden states, produced a lower accuracy. It can be concluded from the present study that prediction system with EHMDM

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 140
• Erscheinungstermin: 5. August 2019
• Englisch
• Abmessung: 220mm x 150mm x 9mm
• Gewicht: 227g
• ISBN-13: 9786200258175
• ISBN-10: 6200258171
• Artikelnr.: 57592988

Autorenporträt

Akinbode Kayode Babatunde graduated from computer science department at the university of Ilorin with B.Sc (Second class lower). I did my M.Sc and PhD at the University of Ibadan. My field of interest are Machine learning, data mining and Artificial intelligence.