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Applying hybrid ARIMA-SGARCH in algorithmic investment strategies on S&P 500 Index
Nguyen Vo; Ślepaczuk, Robert - 2021
Persistent link: https://www.econbiz.de/10012816706
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Robust optimisation in algorithmic investment strategies
Castellano Gómez, Sergio; Ślepaczuk, Robert - 2021
Persistent link: https://www.econbiz.de/10012816708
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Machine learning in algorithmic trading strategy optimization - implementation and efficiency
Ryś, Przemysław; Ślepaczuk, Robert - Uniwersytet Warszawski / Wydział Nauk Ekonomicznych - 2018
Persistent link: https://www.econbiz.de/10011981706
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LSTM-ARIMA as a hybrid approach in algorithmic investment strategies
Kashif, Kamil; Ślepaczuk, Robert - 2024
Persistent link: https://www.econbiz.de/10014634690
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Statistical arbitrage in multi-pair trading strategy based on graph clustering algorithms in US equities market
Korniejczuk, Adam; Ślepaczuk, Robert - 2024
Persistent link: https://www.econbiz.de/10014634696
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Predictive modeling of foreign exchange trading signals using machine learning techniques
Enkhbayar, Sugarbayar; Ślepaczuk, Robert - 2024
Persistent link: https://www.econbiz.de/10014634708
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A comparison of LSTM and GRU architectures with novel walk-forward approach to algorithmic investment strategy
Baranochnikov, Illia; Ślepaczuk, Robert - 2022
Persistent link: https://www.econbiz.de/10013473692
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Daily and intraday application of various architectures of the LSTM model in algorithmic investment strategies on Bitcoin and the S&P 500 Index
Kryńska, Katarzyna; Ślepaczuk, Robert - 2022
Persistent link: https://www.econbiz.de/10013473995
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Application of machine learning in algorithmic investment strategies on global stock markets
Grudniewicz, Jan; Ślepaczuk, Robert - In: Research in international business and finance 66 (2023), pp. 1-24
Persistent link: https://www.econbiz.de/10014463386
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Mean absolute directional loss as a new loss function for machine learning problems in algorithmic investment strategies
Michańków, Jakub; Sakowski, Paweł; Ślepaczuk, Robert - 2023
Persistent link: https://www.econbiz.de/10014448222