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
Performance Evaluation of Systematic Option Trading Strateg..:
, In:
Proceedings of the International Conference on Engineering and Information Technology for Sustainable Industry
,
Tansil, Tan Meilisa
;
Rusli, Leonard P.
;
Budiarto, Eka
- p. 1-7 , 2022
Link:
https://dl.acm.org/doi/10.1145/3557738.3557943
RT T1
Proceedings of the International Conference on Engineering and Information Technology for Sustainable Industry
: T1
Performance Evaluation of Systematic Option Trading Strategies Using Entry and Exit Points Predicted by Machine Learning
UL https://suche.suub.uni-bremen.de/peid=acm-3557943&Exemplar=1&LAN=DE A1 Tansil, Tan Meilisa A1 Rusli, Leonard P. A1 Budiarto, Eka PB ACM YR 2022 K1 Machine learning K1 Option trading strategy evaluation K1 Support-resistance prediction K1 Systematic option trading K1 Trade expectancy K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 1 OP 7 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3557738.3557943 DO https://dl.acm.org/doi/10.1145/3557738.3557943 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)