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An Adaptive Strategy for Short-Term Stock Trading using Reinforcement Learning
Kizito, Lloyd
Linköping University, Department of Electrical Engineering.
2022 (English)
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Place, publisher, year, edition, pages
2022. , p. 37
National Category
Control Engineering
Identifiers
URN:
urn:nbn:se:liu:diva-188014
OAI: oai:DiVA.org:liu-188014
DiVA, id:
diva2:1692400
External cooperation
Celerus Capital
Subject / course
Applied Mathematics
Examiners
Axehill, Daniel, Associate Proffesor
Linköping University, Department of Electrical Engineering.
Available from:
2022-09-02
Created:
2022-09-01
Last updated:
2022-09-02
Bibliographically approved
Open Access in DiVA
bilaga
(758 kB)
637 downloads
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ATTACHMENT01.pdf
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758 kB
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ac1c681669cf80c9b5e2116c682c9823aa003da772d161cbf811197c7a4f991abd7696ee20f541dcb9848f74c5b29e0993c5e597f1cc55879cd7ec9752ed559e
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attachment
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Department of Electrical Engineering
On the subject
Control Engineering
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http://liu.diva-portal.org/smash/record.jsf?pid=diva2:1692400
Cite
Citation style
apa
ieee
modern-language-association-8th-edition
vancouver
oxford
Other style
apa
ieee
modern-language-association-8th-edition
vancouver
oxford
Other style
More styles
Language
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
More languages
Output format
html
text
asciidoc
rtf
html
text
asciidoc
rtf
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