Search
Abstract
A broad spectrum of analysis and prediction indicators and methods exists to support trading decisions, but no hard knowledge exist to tell in advance which of them will fit best in a given timeframe. To support trading decisions, a multi-agent self-organizing system has been proposed. The system is based on history based dynamic weight voting and selects the right indicators based on their past performance. The formal analysis is given and verification is described, which proved the system to possess the desired features.
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
Rynek Energii
pages 1 - 6,
ISSN: 1425-5960 - Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Opaliński A.: Application of Majority Voting Protocols to Supporting Trading Decisions// Rynek Energii. -., nr. 4(113) (2014), s.1-6
- Verified by:
- Gdańsk University of Technology
seen 113 times
Recommended for you
Computational collective intelligence for enterprise information systems
- N. Nguyen,
- D. Hwang,
- E. Szczerbicki
2019