Computing trading strategies based on financial sentiment data using evolutionary optimization

Ronald Hochreitere

doi:10.1007/978-3-319-19824-8_15

Computing trading strategies based on financial sentiment data using evolutionary optimization

Ronald Hochreitere

Vienna University of Economics and Business

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Mendel 2015 - Recent Advances in Soft Computing
Editors	Radek Matousek
Publisher	Springer Verlag
Pages	181-191
Number of pages	11
ISBN (Print)	9783319198231
DOIs	https://doi.org/10.1007/978-3-319-19824-8_15
Publication status	Published - 2015
Externally published	Yes
Event	21st International Conference on Soft Computing, Mendel 2015 - Brno, Czech Republic Duration: 23 Jun 2015 → 25 Jun 2015

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	378
ISSN (Print)	2194-5357

Conference

Conference	21st International Conference on Soft Computing, Mendel 2015
Country/Territory	Czech Republic
City	Brno
Period	23/06/15 → 25/06/15

Keywords

Evolutionary optimization
Sentiment analysis
Technical trading
Technical trading

Access to Document

10.1007/978-3-319-19824-8_15

Cite this

@inproceedings{4bbe39a6bcf3474987e4fad649da1948,

title = "Computing trading strategies based on financial sentiment data using evolutionary optimization",

keywords = "Evolutionary optimization, Sentiment analysis, Technical trading, Technical trading",

author = "Ronald Hochreitere",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015; 21st International Conference on Soft Computing, Mendel 2015 ; Conference date: 23-06-2015 Through 25-06-2015",

year = "2015",

doi = "10.1007/978-3-319-19824-8\_15",

language = "English",

isbn = "9783319198231",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "181--191",

editor = "Radek Matousek",

booktitle = "Mendel 2015 - Recent Advances in Soft Computing",

}

Hochreitere, R 2015, Computing trading strategies based on financial sentiment data using evolutionary optimization. in R Matousek (ed.), Mendel 2015 - Recent Advances in Soft Computing. Advances in Intelligent Systems and Computing, vol. 378, Springer Verlag, pp. 181-191, 21st International Conference on Soft Computing, Mendel 2015, Brno, Czech Republic, 23/06/15. https://doi.org/10.1007/978-3-319-19824-8_15

Computing trading strategies based on financial sentiment data using evolutionary optimization. / Hochreitere, Ronald.
Mendel 2015 - Recent Advances in Soft Computing. ed. / Radek Matousek. Springer Verlag, 2015. p. 181-191 (Advances in Intelligent Systems and Computing; Vol. 378).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Computing trading strategies based on financial sentiment data using evolutionary optimization

AU - Hochreitere, Ronald

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015

PY - 2015

Y1 - 2015

KW - Evolutionary optimization

KW - Sentiment analysis

KW - Technical trading

UR - https://www.scopus.com/pages/publications/84946741849

U2 - 10.1007/978-3-319-19824-8_15

DO - 10.1007/978-3-319-19824-8_15

M3 - Conference contribution

AN - SCOPUS:84946741849

SN - 9783319198231

T3 - Advances in Intelligent Systems and Computing

SP - 181

EP - 191

BT - Mendel 2015 - Recent Advances in Soft Computing

A2 - Matousek, Radek

PB - Springer Verlag

T2 - 21st International Conference on Soft Computing, Mendel 2015

Y2 - 23 June 2015 through 25 June 2015

ER -

Computing trading strategies based on financial sentiment data using evolutionary optimization

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Keywords

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