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Ślepaczuk, Robert
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Supervised autoencoder MLP for financial time series forecasting
Bieganowski, Bartosz
;
Ślepaczuk, Robert
-
2024
Persistent link: https://www.econbiz.de/10014507808
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2
Ensembled LSTM with walk forward optimization in algorithmic trading
Chojnacki, Karol
;
Ślepaczuk, Robert
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2023
Persistent link: https://www.econbiz.de/10014308890
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3
Ensembling ARIMAX model in algorithmic investment strategies on commodities market
Jakubowski, Paweł
;
Ślepaczuk, Robert
;
Windorbski, …
-
2023
Persistent link: https://www.econbiz.de/10014448210
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4
Hedging properties of algorithmic investment strategies using long short-term memory and time series models for equity indices
Michańków, Jakub
;
Sakowsk, Paweł
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014448237
Saved in:
5
Mean absolute directional loss as a new loss function for machine learning problems in algorithmic investment strategies
Michańków, Jakub
;
Sakowski, Paweł
;
Ślepaczuk, Robert
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2023
Persistent link: https://www.econbiz.de/10014448222
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6
Optimal markowitz portfolio using returns forecasted with time series and machine learning models
Ślusarczyk, Damian
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014446491
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7
The performance of time series forecasting based on classical and machine learning methods for S&P 500 index
Uzzal, Maudud Hassan
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014305886
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8
Predicting DJIA, NASDAQ and NYSE index prices using ARIMA and VAR models
Teymurzade, Sahil
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014448266
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9
The systemic risk approach based on implied and realized volatility
Sakowski, Paweł
;
Sieradzki, Rafał
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014305898
Saved in:
10
A comparison of LSTM and GRU architectures with novel walk-forward approach to algorithmic investment strategy
Baranochnikov, Illia
;
Ślepaczuk, Robert
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2022
Persistent link: https://www.econbiz.de/10013473692
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