Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations

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Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 (2019, methodology): “The authors of [200] proposed a method that used CNN with correlated features combined together to predict the trend of the stocks prices.”
Deep Learning for Financial Applications : A Survey (2020, methodology): “In [61], an innovative method was proposed that uses CNN with correlated features combined together to predict the trend of the stocks prices.”
CNNpred: CNN-based stock market prediction using a diverse set of variables (2019, methodology): “To address this issue, we report the Macro-Averaged-F-Measure that is the mean of F-measures calculated for each of the two classes (Gunduz et al., 2017; ¨Ozg¨ur et al., 2005).”
Applications of deep learning in stock market prediction: recent progress (2020, methodology): “…refers to the process of rescaling the input feature by the minimum and range, to make all the values lie between 0 and 1 (Wang & Wang, 2015; Gunduz et al., 2017; Li et al., 2017b; Singh & Srivastava, 2017; Althelaya et al., 2018; Althelaya et al., 2018; Baek & Kim, 2018; Chen et al.,…”