Téléchargez le livre : Stock Exchange Trading Using Grid Pattern Optimized by A Genetic Algorithm with Speciation

Stock Exchange Trading Using Grid Pattern Optimized by A Genetic Algorithm with Speciation

The Case of S&P 500 de

,

Éditeur :

Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2021-07-08

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Description

This book presents a genetic algorithm that optimizes a grid template pattern detector to find the best point to trade in the SP 500. The pattern detector is based on a template using a grid of weights with a fixed size. The template takes in consideration not only the closing price but also the open, high, and low values of the price during the period under testing in contrast to the traditional methods of analysing only the closing price. Each cell of the grid encompasses a score, and these are optimized by an evolutionary genetic algorithm that takes genetic diversity into consideration through a speciation routine, giving time for each individual of the population to be optimized within its own niche. With this method, the system is able to present better results and improves the results compared with other template approaches. The tests considered real data from the stock market and against state-of-the-art solutions, namely the ones using a grid of weights which does not havea fixed size and non-speciated approaches. During the testing period, the presented solution had a return of 21.3% compared to 10.9% of the existing approaches. The use of speciation was able to increase the returns of some results as genetic diversity was taken into consideration.
Pages
68 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2021-07-08
Marque
Springer
EAN papier
9783030766795
EAN PDF
9783030766801
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
6
Taille du fichier
2826 Ko
Prix
68,56 €
EAN EPUB
9783030766801
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
6
Taille du fichier
10383 Ko
Prix
68,56 €

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