I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Can Deep Learning Improve Technical Analysis of Forex Data ..:
Fisichella, Marco
;
Garolla, Filippo
DOI:https://doi.org/10.1109/access.2021.3127570. , 2021
Link:
https://www.repo.uni-hannover.de/handle/123456789/1585
RT Journal T1
Can Deep Learning Improve Technical Analysis of Forex Data to Predict Future Price Movements?
UL https://suche.suub.uni-bremen.de/peid=base-ftunivhannover:oai:www.repo.uni-hannover.de:123456789_15858&Exemplar=1&LAN=DE A1 Fisichella, Marco A1 Garolla, Filippo PB New York, NY : IEEE YR 2021 K1 expert advisor K1 Forex K1 genetic algorithm K1 metatrader K1 technical analysis K1 technical indicators K1 trading rules K1 trading system K1 ddc:004 K1 ddc:621,3 JF DOI:https://doi.org/10.1109/access.2021.3127570 LK http://dx.doi.org/https://www.repo.uni-hannover.de/handle/123456789/15858 DO https://www.repo.uni-hannover.de/handle/123456789/15858 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)