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Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learning.

, , , , , , and . Neural Comput. Appl., 34 (22): 19441-19452 (2022)

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Using Deep Learning for price prediction by exploiting stationary limit order book features., , , , , and . CoRR, (2018)Time-series classification using neural Bag-of-Features., , , , , and . EUSIPCO, page 301-305. IEEE, (2017)Using Deep Learning for price prediction by exploiting stationary limit order book features., , , , , and . Appl. Soft Comput., (2020)Modeling limit order trading with a continuous action policy for deep reinforcement learning., , and . Neural Networks, (August 2023)Price Trailing for Financial Trading Using Deep Reinforcement Learning., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 32 (7): 2837-2846 (2021)Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learning., , , , , , and . Neural Comput. Appl., 34 (22): 19441-19452 (2022)Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data., , , , , , , and . IEEE Access, (2019)Using deep learning to detect price change indications in financial markets., , , , , and . EUSIPCO, page 2511-2515. IEEE, (2017)Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation., , and . MLSP, page 1-6. IEEE, (2020)Deep adaptive group-based input normalization for financial trading., , , and . Pattern Recognit. Lett., (2021)