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28. Forecasting gold price using machine learning methodologies. (2023). Cohen, Gil ; Aiche, Avishay.
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29. Bayesian framework for characterizing cryptocurrency market dynamics, structural dependency, and volatility using potential field. (2023). Negi, Neeraj ; Aprem, Anup.
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30. The mutual predictability of Bitcoin and web search dynamics. (2022). Sussmuth, Bernd.
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31. Past, present, and future of the application of machine learning in cryptocurrency research. (2022). Baltas, Konstantinos ; Ren, Yi-Shuai ; Kong, Xiao-Lin ; Zureigat, Qasim ; Ma, Chao-Qun.
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32. Can investors’ informed trading predict cryptocurrency returns? Evidence from machine learning. (2022). Sensoy, Ahmet ; Wang, Yaqi ; Yao, Shouyu ; Cheng, Feiyang.
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33. Out-of-sample forecasting of cryptocurrency returns: A comprehensive comparison of predictors and algorithms. (2022). Yae, James ; Tian, George Zhe.
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34. Explainable artificial intelligence for crypto asset allocation. (2022). Giudici, Paolo ; Babaei, Golnoosh ; Raffinetti, Emanuela.
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35. A novel heavy tail distribution of logarithmic returns of cryptocurrencies. (2022). Tran, Quang ; van Tran, Quang ; Kukal, Jaromir.
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36. Nonlinear nexus between cryptocurrency returns and COVID-19 news sentiment. (2022). Sensoy, Ahmet ; Almeida, Dora ; Akhtaruzzaman, Md ; Dionisio, Andreia ; Banerjee, Ameet Kumar.
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37. A new hybrid machine learning model for predicting the bitcoin (BTC-USD) price. (2022). Nagula, Pavan Kumar ; Alexakis, Christos.
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38. Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer models. (2022). Low, Kah Wee ; Herremans, Dorien.
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39. Lottery-like preferences and the MAX effect in the cryptocurrency market. (2021). Sensoy, Ahmet ; Ozdamar, Melisa ; Akdeniz, Levent.
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40. Efficiency in cryptocurrency markets: new evidence. (2021). ARGUEDAS SANZ, RAQUEL ; Muela, Sonia Benito ; Lopez-Martin, Carmen.
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41. Herding and feedback trading in cryptocurrency markets. (2021). King, Timothy ; Koutmos, Dimitrios.
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42. Is It Possible to Forecast the Price of Bitcoin?. (2021). Goutte, Stéphane ; Chevallier, Julien ; Guegan, Dominique.
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43. Is It Possible to Forecast the Price of Bitcoin?. (2021). Goutte, Stéphane ; Guegan, Dominique ; Chevallier, Julien.
    In: Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers).
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44. Univariate and Multivariate Machine Learning Forecasting Models on the Price Returns of Cryptocurrencies. (2021). Kim, Jong-Min ; Miller, Dante.
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45. Is It Possible to Forecast the Price of Bitcoin?. (2021). Goutte, Stéphane ; Chevallier, Julien ; Guegan, Dominique.
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46. How cryptocurrency affects economy? A network analysis using bibliometric methods. (2021). Yue, Yao ; Li, Xuerong ; Wang, Shouyang ; Zhang, Dingxuan.
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47. Dynamic efficiency and arbitrage potential in Bitcoin: A long-memory approach. (2021). Urquhart, Andrew ; Li, Zeming ; Duan, Kun ; Ye, Jinqiang.
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48. Is Bitcoin a better portfolio diversifier than gold? A copula and sectoral analysis for China. (2021). Wong, Wing-Keung ; van Hoang, Thi Hong ; Ly, Sel ; Lu, Richard ; Pho, Kim Hung.
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49. On Technical Trading and Social Media Indicators in Cryptocurrencies Price Classification Through Deep Learning. (2021). Bartolucci, Silvia ; Uras, Nicola ; Ortu, Marco ; Destefanis, Giuseppe ; Conversano, Claudio.
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50. Forecasting Mid-price Movement of Bitcoin Futures Using Machine Learning. (2020). Uddin, Gazi ; Corbet, Shaen ; Cepni, Oguzhan ; Akyildirim, Erdinc.
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