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Adaptive Normalization For Forecasting Limit Order Book Data Using Convolutional Neural Networks

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IEEE ICASSP 2020 Virtual Conference May 2020

Deep learning models are capable of achieving state-of-the-art performance on a wide range of time series analysis tasks. However, their performance crucially depends on the employed normalization scheme, while they are usually unable to efficiently handl

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Adaptive Normalization For Forecasting Limit Order Book Data Using Convolutional Neural Networks

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Deep learning models are capable of achieving state-of-the-art performance on a wide range of time series analysis tasks. However, their performance crucially depends on the employed normalization scheme, while they are usually unable to efficiently handl