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  • Search: subject:"Trend prediction"
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Year of publication
Subject
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Forecasting model 2 Prognoseverfahren 2 classification framework 2 computational or mathematical finance 2 cryptocurrency 2 features selection 2 genetic algorithm 2 metric learning 2 random forest 2 stock trend prediction 2 time series 2 trend prediction 2 Artificial intelligence 1 Börsenkurs 1 Classification 1 Evolutionary algorithm 1 Evolutionärer Algorithmus 1 Financial market 1 Finanzmarkt 1 Finanzmathematik 1 Forestry 1 Forstwirtschaft 1 Klassifikation 1 Künstliche Intelligenz 1 Learning process 1 Lernprozess 1 Mathematical finance 1 Mathematical programming 1 Mathematische Optimierung 1 Share price 1 Theorie 1 Theory 1 Time series analysis 1 Virtual currency 1 Virtuelle Währung 1 Zeitreihenanalyse 1
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Online availability
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Free 4 CC license 1
Type of publication
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Article 4
Type of publication (narrower categories)
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Article 2 Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 4
Author
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Abraham, Rebecca 2 Bakhach, Amer M. 2 El Nemar, Sam 2 El Samad, Mahmoud 2 El-Chaarani, Hani 2 Jaber, Dalia 2 Pichl, Lukáš 2 Sardouk, Ahmad 2 Shintate, Takuya 2
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Published in...
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Journal of Risk and Financial Management 2 Journal of risk and financial management : JRFM 2
Source
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ECONIS (ZBW) 2 EconStor 2
Showing 1 - 4 of 4
Cover Image
Forecasting a stock trend using genetic algorithm and random forest
Abraham, Rebecca; El Samad, Mahmoud; Bakhach, Amer M.; … - In: Journal of Risk and Financial Management 15 (2022) 5, pp. 1-18
This paper addresses the problem of forecasting daily stock trends. The key consideration is to predict whether a given stock will close on uptrend tomorrow with reference to today's closing price. We propose a forecasting model that comprises a features selection model, based on the Genetic...
Persistent link: https://www.econbiz.de/10014332389
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Cover Image
Forecasting a stock trend using genetic algorithm and random forest
Abraham, Rebecca; El Samad, Mahmoud; Bakhach, Amer M.; … - In: Journal of risk and financial management : JRFM 15 (2022) 5, pp. 1-18
This paper addresses the problem of forecasting daily stock trends. The key consideration is to predict whether a given stock will close on uptrend tomorrow with reference to today's closing price. We propose a forecasting model that comprises a features selection model, based on the Genetic...
Persistent link: https://www.econbiz.de/10013273115
Saved in:
Cover Image
Trend prediction classification for high frequency Bitcoin time series with deep learning
Shintate, Takuya; Pichl, Lukáš - In: Journal of Risk and Financial Management 12 (2019) 1, pp. 1-15
We provide a trend prediction classification framework named the random sampling method (RSM) for cryptocurrency time …
Persistent link: https://www.econbiz.de/10012611077
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Cover Image
Trend prediction classification for high frequency Bitcoin time series with deep learning
Shintate, Takuya; Pichl, Lukáš - In: Journal of risk and financial management : JRFM 12 (2019) 1/17, pp. 1-15
We provide a trend prediction classification framework named the random sampling method (RSM) for cryptocurrency time …
Persistent link: https://www.econbiz.de/10011961485
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