Forecasting Prices of Shares Listed on the Warsaw Stock Exchange Using Machine Learning

Jóźwicki, Rafał

doi:10.2478/joim-2022-0012

References

Anghel, G. D. I. (2015). Stock Market Efficiency and the MACD. Evidence from Countries around the World. Procedia Economics and Finance, 32, 1414–1431.10.1016/S2212-5671(15)01518-X
Search in Google Scholar Back to article
Bradley, D. A. (1984). Stock Market Prediction. The Planetary Barometer and How to Use It. Los Angeles: Llewellyn Publications.
Search in Google Scholar Back to article
Czekaj, J., Woś, M. & Żarnowski J. (2001). Efektywność giełdowego rynku akcji w Polsce. Z perspektywy dziesięciolecia. Warszawa: Wydawnictwo PWN.
Search in Google Scholar Back to article
Elder, A. (1993). Trading for a Living. Psychology. Trading Tactics. Money Management. New York: John Wiley & Sons Inc.
Search in Google Scholar Back to article
Fernandes, R. A. S., & Mallqui Dennys, C. A. (2019). Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques. Applied Soft Computing, 75.10.1016/j.asoc.2018.11.038
Search in Google Scholar Back to article
Murphy, J. J. (2019). Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications. New York: New York Institute of Finance.
Search in Google Scholar Back to article
Rutkowski, L. (2005). Metody i techniki sztucznej inteligencji. Inteligencja obliczeniowa. Warszawa: Wydawnictwo Naukowe PWN.
Search in Google Scholar Back to article
Stephenson, D. (2020). Big Data, nauka o danych i AI bez tajemnic. Gliwice: Wydawnictwo Helion.
Search in Google Scholar Back to article
Szyszka, A. (2003). Efektywność giełdy papierów wartościowych w Warszawie na tle rynków dojrzałych. Poznań: Wydawnictwo Akademii Ekonomicznej w Poznaniu.
Search in Google Scholar Back to article
Tarczyński, W. (2001). Rynki kapitałowe – metody ilościowe, vol. I. Warszawa: Placet, 2 ed.
Search in Google Scholar Back to article
Torres, E. P., Hernández-Álvarez, M., Torres Hernández, E. A., & Yoo, S. G. (2019). Stock Market Data Prediction Using Machine Learning Techniques. In Á. Rocha, C. Ferrás, & M. Pare-des (Eds.), Information Technology and Systems. ICITS 2019. Advances in Intelligent Systems and Computing, vol. 918. Springer.10.1007/978-3-030-11890-7_52
Search in Google Scholar Back to article
Wodecki, A. (2018). Sztuczna inteligencja w kreowaniu wartości organizacji. Kraków-Legionowo: Wydawnictwo Edu-Libri.
Search in Google Scholar Back to article
www.asseco.com
Search in Google Scholar Back to article
www.allegro.eu
Search in Google Scholar Back to article
www.azure.microsoft.com/pl-pl/services/machine-learning
Search in Google Scholar Back to article
www.ccc.eu
Search in Google Scholar Back to article
www.cdprojekt.com
Search in Google Scholar Back to article
www.gkpge.pl
Search in Google Scholar Back to article
www.gpw.com.pl
Search in Google Scholar Back to article
www.grupadino.pl
Search in Google Scholar Back to article
www.jsw.pl
Search in Google Scholar Back to article
www.kghm.com
Search in Google Scholar Back to article
www.lppsa.com
Search in Google Scholar Back to article
www.lotos.pl
Search in Google Scholar Back to article
www.mercatormedical.eu
Search in Google Scholar Back to article
www.orange.pl
Search in Google Scholar Back to article
www.orlen.pl
Search in Google Scholar Back to article
www.pekao.com.pl
Search in Google Scholar Back to article
www.pgnig.pl
Search in Google Scholar Back to article
www.pkobp.pl
Search in Google Scholar Back to article
www.polsatbox.pl
Search in Google Scholar Back to article
www.pzu.pl
Search in Google Scholar Back to article
www.santander.pl
Search in Google Scholar Back to article
www.tauron.pl
Search in Google Scholar Back to article

Forecasting Prices of Shares Listed on the Warsaw Stock Exchange Using Machine Learning

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