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Short-term stock market prediction with a hybrid machine learning approach : master thesis
ID
Stanič, Rok
(
Author
),
ID
Jaklič, Jurij
(
Mentor
)
More about this mentor...
,
ID
Budler, Marko
(
Member of the commission for defense
),
ID
Indihar Štemberger, Mojca
(
Member of the commission for defense
)
PDF - Presentation file,
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(1,14 MB)
MD5: 7F5CC3769A371F2DD5829D3A239FDC33
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Language:
English
Keywords:
capital market
,
investments
,
shares
,
value
,
machine learning
,
forecasting
,
analysis
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
EF - School of Economics and Business
Place of publishing:
Ljubljana
Publisher:
R. Stanič
Year:
2026
Number of pages:
1 spletni vir (1 datoteka PDF (IV, 55 str.)
PID:
20.500.12556/RUL-183451
UDC:
336.76
COBISS.SI-ID:
277410819
Publication date in RUL:
12.06.2026
Views:
193
Downloads:
156
Metadata:
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Secondary language
Language:
Slovenian
Title:
Kratkoročno borzno napovedovanje s hibridnim pristopom strojnega učenja
Keywords:
trg kapitala
,
investicije
,
delnice
,
vrednost
,
strojno učenje
,
predvidevanje
,
analiza
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