JSAI2020

Presentation information

General Session

General Session » J-13 AI application

[2L4-GS-13] AI application: Finance (1)

Wed. Jun 10, 2020 1:50 PM - 3:30 PM Room L (jsai2020online-12)

座長:水野貴之(国立情報学研究所)

2:30 PM - 2:50 PM

[2L4-GS-13-03] Construction of a Foreign Exchange Trading Strategy using Genetic Network Programming by Considering the Technical Index Signal Strength

〇Jumpei Uchida1, Hjime Anada1 (1. Tokyo City University)

Keywords:Foreign Exchange, Genetic Network Programming

Recently, many researchers have studied foreign exchange trading using technical analysis. However, it is difficult to achieve profitability using this technique. Therefore, using Genetic Network Programming, we construct a model that considers the technical index signal strength for devising a profitable trading strategy. Finally, we confirmed the effectiveness of our model using historical data of the exchange market.

Authentication for paper PDF access

A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.

Password