“… Bitcoin historical data in strategy formulation | Machine learning and technical analyzing algorithms 32 , time-series analytical mechanisms 33 , deep reinforcement learning 18 , LSTM 34 , ARIMA 35 , random forest, XGBoost, SVM, quadratic discriminant analysis, and LSTM 36 , Deep Q-network [This paper]. |
Twitter sentiment analysis for trading decisions | Recurrent nets and CNN 37 , random forest 38 , linear discriminant analysis 39 , vector autoregression 40 , Q-learning 41 , logistic regression, Naive Bayes, and SVM 42 , Bullish tweet signals 43 , BERT and GRU 44 , FinBERT, CNN, and NLP 45 , Deep Q-Network [This paper]. |
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