Carrito de compras


Multi-level Pattern Prediction of Unstructured Financial Data

por Akinbode, Kayode
Condición: Nuevo
61,49 €
IVA incluído - Envío GRATIS
Akinbode, Kayode Multi-level Pattern Prediction of Unstructured Financial Data
Akinbode, Kayode - Multi-level Pattern Prediction of Unstructured Financial Data

¿Le gusta este producto? ¡Compártalo con todo el mundo!

61,49 € incl. IVA
Solo 1 artículos disponibles Solo 1 artículos disponibles Más de 10 piezas disponibles
Entrega: entre jueves, 14 de julio de 2022 y lunes, 18 de julio de 2022
Ventas y envío: Dodax

Descripción

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

Colaboradores

Autor:
Akinbode, Kayode

Detalles de producto

Biografía del artista:
Akinbode, Kayode
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.
Idioma:
Inglés
Edición:
1/2019
Número de páginas:
140
Tipo de medio:
Tapa blanda
Editorial:
LAP Lambert Academic Publishing

Datos base

Tipo de producto:
Libro de bolsillo
Fecha de aparición:
5 de agosto de 2019
Dimensiones del paquete:
0.22 x 0.15 x 0.008 m; 0.254 kg
GTIN:
09786200258175
DUIN:
PF5MNBBQI5B
61,49 €
Utilizamos cookies en nuestro sitio web para que nuestros servicios sean más eficientes y más fáciles de usar. Por lo tanto, seleccione "Aceptar cookies". Lea nuestra Política de privacidad para obtener más información.