A Deep Learning Framework for Predicting Digital Asset Price Movement from Trade-by-trade Data

11 Oct 2020 Qi Zhao

This paper presents a deep learning framework based on Long Short-term Memory Network(LSTM) that predicts price movement of cryptocurrencies from trade-by-trade data. The main focus of this study is on predicting short-term price changes in a fixed time horizon from a looking back period... (read more)

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