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Cryptocurrency trading: a comprehensive survey
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Cited by:
- Elli Kraizberg, 2023. "Non-fungible tokens: a bubble or the end of an era of intellectual property rights," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-20, December.
- Kamyr Gomes Souza & Flavio Barboza & Daniel Vitor Tartari Garruti, 2024. "A Discourse Analysis of Tweets and Its Implications for Cryptocurrency Prices and Trade Volumes," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2355-2383, October.
- Attilio Sbrana & Paulo André Lima de Castro, 2024. "N-BEATS Perceiver: A Novel Approach for Robust Cryptocurrency Portfolio Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 1047-1081, August.
- Jacopo Fior & Luca Cagliero & Paolo Garza, 2022. "Leveraging Explainable AI to Support Cryptocurrency Investors," Future Internet, MDPI, vol. 14(9), pages 1-19, August.
- J. Zhu & L. Zhang, 2023. "Educational Game on Cryptocurrency Investment: Using Microeconomic Decision-Making to Understand Macroeconomics Principles," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 49(2), pages 262-272, April.
- Maira Andrade & Philip W. S. Newall, 2023. "Cryptocurrencies as Gamblified Financial Assets and Cryptocasinos: Novel Risks for a Public Health Approach to Gambling," Risks, MDPI, vol. 11(3), pages 1-14, February.
- Virginie Terraza & Aslı Boru İpek & Mohammad Mahdi Rounaghi, 2024. "The nexus between the volatility of Bitcoin, gold, and American stock markets during the COVID-19 pandemic: evidence from VAR-DCC-EGARCH and ANN models," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-34, December.
- Yi-Hsiang Lu & Ching-Chiang Yeh & Yu-Mei Kuo, 2024. "Exploring the critical factors affecting the adoption of blockchain: Taiwan’s banking industry," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-25, December.
- Hongshen Yang & Avinash Malik, 2024. "Optimal market-neutral currency trading on the cryptocurrency platform," Papers 2405.15461, arXiv.org, revised Aug 2024.
- Abdul Jabbar & Syed Qaisar Jalil, 2024. "A Comprehensive Analysis of Machine Learning Models for Algorithmic Trading of Bitcoin," Papers 2407.18334, arXiv.org.
- Luis Lorenzo & Javier Arroyo, 2023. "Online risk-based portfolio allocation on subsets of crypto assets applying a prototype-based clustering algorithm," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-40, December.
- S. Sapna & Biju R. Mohan, 2024. "Comparative Analysis of Root Finding Algorithms for Implied Volatility Estimation of Ethereum Options," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 515-550, July.
- Jiri Kukacka & Ladislav Kristoufek, 2023. "Fundamental and speculative components of the cryptocurrency pricing dynamics," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
- Zhou, Fan, 2024. "Cryptocurrency: A new player or a new crisis in financial markets? —— Evolutionary analysis of association and risk spillover based on network science," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 648(C).
- Wujun Lv & Tao Pang & Xiaobao Xia & Jingzhou Yan, 2023. "Dynamic portfolio choice with uncertain rare-events risk in stock and cryptocurrency markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-28, December.
- Orte, Francisco & Mira, José & Sánchez, María Jesús & Solana, Pablo, 2023. "A random forest-based model for crypto asset forecasts in futures markets with out-of-sample prediction," Research in International Business and Finance, Elsevier, vol. 64(C).
- Youssef El-Khatib & Abdulnasser Hatemi-J, 2023.
"On a regime switching illiquid high volatile prediction model for cryptocurrencies,"
Journal of Economic Studies, Emerald Group Publishing Limited, vol. 51(2), pages 485-498, July.
- El-Khatib, Youssef & Hatemi-J, Abdulnasser, 2022. "On a Regime Switching Illiquid High Volatile Prediction Model for Cryptocurrencies," MPRA Paper 114556, University Library of Munich, Germany.
- Kyohei Shibano & Gento Mogi, 2022. "An analysis of the acquisition of a monetary function by cryptocurrency using a multi-agent simulation model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.
- Zhao, Yingxiu & Goodell, John W. & Shen, Dehua, 2024. "Spillover effects according to classification of cryptocurrency," Finance Research Letters, Elsevier, vol. 65(C).
- Soria, Jorge & Moya, Jorge & Mohazab, Amin, 2023. "Optimal mining in proof-of-work blockchain protocols," Finance Research Letters, Elsevier, vol. 53(C).
- Wei Xu & Daning Hu & Karl Reiner Lang & J. Leon Zhao, 2022. "Blockchain and digital finance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-4, December.
- Mingbo Zheng & Gen-Fu Feng & Xinxin Zhao & Chun-Ping Chang, 2023. "The transaction behavior of cryptocurrency and electricity consumption," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-18, December.
- Siu Hin Tang & Mathieu Rosenbaum & Chao Zhou, 2023. "Forecasting Volatility with Machine Learning and Rough Volatility: Example from the Crypto-Winter," Papers 2311.04727, arXiv.org, revised Feb 2024.
- Alessio Brini & Jimmie Lenz, 2024. "A comparison of cryptocurrency volatility-benchmarking new and mature asset classes," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-38, December.
- Elie Bouri & Afees A. Salisu & Rangan Gupta, 2023. "The predictive power of Bitcoin prices for the realized volatility of US stock sector returns," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-22, December.
- Pietro Saggese & Esther Segalla & Michael Sigmund & Burkhard Raunig & Felix Zangerl & Bernhard Haslhofer, 2023. "Assessing the Solvency of Virtual Asset Service Providers: Are Current Standards Sufficient?," Papers 2309.16408, arXiv.org, revised Apr 2024.
- Zhuohuan Hu & Richard Yu & Zizhou Zhang & Haoran Zheng & Qianying Liu & Yining Zhou, 2024. "Developing Cryptocurrency Trading Strategy Based on Autoencoder-CNN-GANs Algorithms," Papers 2412.18202, arXiv.org, revised Feb 2025.
- Riccardo Blasis & Luca Galati & Alexander Webb & Robert I. Webb, 2023.
"Intelligent design: stablecoins (in)stability and collateral during market turbulence,"
Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
- De Blasis, Riccardo & Galati, Luca & Webb, Alexander & Webb, Robert I., 2022. "Intelligent design: Stablecoins (in)stability and collateral during market turbulence," Economics & Statistics Discussion Papers esdp22088, University of Molise, Department of Economics.
- Jiasheng Zhu & Luyao Zhang, 2023. "Educational Game on Cryptocurrency Investment: Using Microeconomic Decision Making to Understand Macroeconomics Principles," Papers 2301.10541, arXiv.org, revised Feb 2023.
- Yichen Luo & Yebo Feng & Jiahua Xu & Paolo Tasca & Yang Liu, 2025. "LLM-Powered Multi-Agent System for Automated Crypto Portfolio Management," Papers 2501.00826, arXiv.org, revised Jan 2025.
- Rui Ai & Yuhang Zheng & Serhat Yüksel & Hasan Dinçer, 2023. "Investigating the components of fintech ecosystem for distributed energy investments with an integrated quantum spherical decision support system," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-28, December.
- Federico Cini & Annalisa Ferrari, 2024. "A Darwinian Approach via ML to the Analysis of Cryptocurrencies’ Returns," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 14(6), pages 1-6.
- Gang Kou & Yang Lu, 2025. "FinTech: a literature review of emerging financial technologies and applications," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-34, December.
- Assaf, Ata & Mokni, Khaled & Yousaf, Imran & Bhandari, Avishek, 2023. "Long memory in the high frequency cryptocurrency markets using fractal connectivity analysis: The impact of COVID-19," Research in International Business and Finance, Elsevier, vol. 64(C).
- Antonio Briola & Tomaso Aste, 2022. "Dependency structures in cryptocurrency market from high to low frequency," Papers 2206.03386, arXiv.org, revised Dec 2022.
- Tina Linden & Tina Shirazi, 2023. "Markets in crypto-assets regulation: Does it provide legal certainty and increase adoption of crypto-assets?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-30, December.
- Bennett, Donyetta & Mekelburg, Erik & Williams, T.H., 2023. "BeFi meets DeFi: A behavioral finance approach to decentralized finance asset pricing," Research in International Business and Finance, Elsevier, vol. 65(C).
- Husam Rjoub & Tomiwa Sunday Adebayo & Dervis Kirikkaleli, 2023. "Blockchain technology-based FinTech banking sector involvement using adaptive neuro-fuzzy-based K-nearest neighbors algorithm," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
- Walid Mensi & Mariya Gubareva & Hee-Un Ko & Xuan Vinh Vo & Sang Hoon Kang, 2023. "Tail spillover effects between cryptocurrencies and uncertainty in the gold, oil, and stock markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
- Berend Jelmer Dirk Gort & Xiao-Yang Liu & Xinghang Sun & Jiechao Gao & Shuaiyu Chen & Christina Dan Wang, 2022. "Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting," Papers 2209.05559, arXiv.org, revised Jan 2023.
- Nuray Tosunoğlu & Hilal Abacı & Gizem Ateş & Neslihan Saygılı Akkaya, 2023. "Artificial neural network analysis of the day of the week anomaly in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-24, December.
- Fatih Ecer & Tolga Murat & Hasan Dinçer & Serhat Yüksel, 2024. "A fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiye," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.
- Chuqiao Zong & Chaojie Wang & Molei Qin & Lei Feng & Xinrun Wang & Bo An, 2024. "MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading," Papers 2406.14537, arXiv.org.
- Tian-Shyr Dai & Yi-Jen Luo & Hao-Han Chang & Chu-Lan Kao & Kuan-Lun Wang & Liang-Chih Liu, 2024. "Asymptotic analyses for trend-stationary pairs trading strategy in high-frequency trading," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1391-1411, November.
- Bernhard Haslhofer & Burkhard Raunig & Pietro Saggase & Esther Segalla & Michael Sigmund & Felix Zangerl, 2023. "Assessing the Solvency of Virtual Asset Service Providers: Are Current Standards Sufficient? (Pietro Saggese, Esther Segalla, Michael Sigmund, Burkhard Raunig, Felix Zangerl, Bernhard Haslhofer)," Working Papers 248, Oesterreichische Nationalbank (Austrian Central Bank).
- Marcin Wątorek & Jarosław Kwapień & Stanisław Drożdż, 2022. "Multifractal Cross-Correlations of Bitcoin and Ether Trading Characteristics in the Post-COVID-19 Time," Future Internet, MDPI, vol. 14(7), pages 1-15, July.
- Haji Suleman Ali & Feiyan Jia & Zhiyuan Lou & Jingui Xie, 2023. "Effect of blockchain technology initiatives on firms’ market value," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-35, December.
- Yu Song & Bo Chen & Xin-Yi Wang, 2023. "Cryptocurrency technology revolution: are Bitcoin prices and terrorist attacks related?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-20, December.
- Laurens Swinkels, 2023. "Empirical evidence on the ownership and liquidity of real estate tokens," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-29, December.
- Luyao Zhang & Tianyu Wu & Saad Lahrichi & Carlos-Gustavo Salas-Flores & Jiayi Li, 2022. "A Data Science Pipeline for Algorithmic Trading: A Comparative Study of Applications for Finance and Cryptoeconomics," Papers 2206.14932, arXiv.org.
- Rubaiyat Ahsan Bhuiyan & Afzol Husain & Changyong Zhang, 2023. "Diversification evidence of bitcoin and gold from wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-36, December.
- Masood Tadi & Jiří Witzany, 2025. "Copula-based trading of cointegrated cryptocurrency Pairs," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-32, December.
- Zhiqi Feng & Yongli Li & Xiaochen Ma, 2023. "Blockchain-oriented approach for detecting cyber-attack transactions," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-38, December.
- Marcin Wk{a}torek & Marcin Kr'olczyk & Jaros{l}aw Kwapie'n & Tomasz Stanisz & Stanis{l}aw Dro.zd.z, 2024. "Approaching multifractal complexity in decentralized cryptocurrency trading," Papers 2411.05951, arXiv.org.
- Felföldi-Szűcs, Nóra & Králik, Balázs & Váradi, Kata, 2024. "Put–call parity in a crypto option market — Evidence from Binance," Finance Research Letters, Elsevier, vol. 61(C).
- Waqas Hanif & Hee-Un Ko & Linh Pham & Sang Hoon Kang, 2023. "Dynamic connectedness and network in the high moments of cryptocurrency, stock, and commodity markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-40, December.
- Fiszeder, Piotr & Małecka, Marta & Molnár, Peter, 2024. "Robust estimation of the range-based GARCH model: Forecasting volatility, value at risk and expected shortfall of cryptocurrencies," Economic Modelling, Elsevier, vol. 141(C).
- Siu Hin Tang & Mathieu Rosenbaum & Chao Zhou, 2024. "Forecasting volatility with machine learning and rough volatility: example from the crypto-winter," Digital Finance, Springer, vol. 6(4), pages 639-655, December.
- Kirimhan, Destan, 2023. "Importance of anti-money laundering regulations among prosumers for a cybersecure decentralized finance," Journal of Business Research, Elsevier, vol. 157(C).
- Alexey Ponomarenko, 2023. "National Currencies in International Settlements: Main Mechanisms," Russian Journal of Money and Finance, Bank of Russia, vol. 82(3), pages 35-47, September.
- Kate Murray & Andrea Rossi & Diego Carraro & Andrea Visentin, 2023. "On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles," Forecasting, MDPI, vol. 5(1), pages 1-14, January.
- Riccardo De Blasis & Luca Galati & Rosanna Grassi & Giorgio Rizzini, 2024. "Information Flow in the FTX Bankruptcy: A Network Approach," Papers 2407.12683, arXiv.org.
- Alessio Brini & Jimmie Lenz, 2024. "A Comparison of Cryptocurrency Volatility-benchmarking New and Mature Asset Classes," Papers 2404.04962, arXiv.org.
- Fallah, Mir Feiz & Pourmansouri, Rezvan & Ahmadpour, Bahador, 2024. "Presenting a new deep learning-based method with the incorporation of error effects to predict certain cryptocurrencies," International Review of Financial Analysis, Elsevier, vol. 95(PC).
- Ştefan Cristian Gherghina & Liliana Nicoleta Simionescu, 2023. "Exploring the asymmetric effect of COVID-19 pandemic news on the cryptocurrency market: evidence from nonlinear autoregressive distributed lag approach and frequency domain causality," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-58, December.
- Ahmed BenSaïda, 2023. "The linkage between Bitcoin and foreign exchanges in developed and emerging markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
- Marcin Wk{a}torek & Jaros{l}aw Kwapie'n & Stanis{l}aw Dro.zd.z, 2022. "Multifractal cross-correlations of bitcoin and ether trading characteristics in the post-COVID-19 time," Papers 2208.01445, arXiv.org.
- Danilo Bazzanella & Andrea Gangemi, 2023. "Bitcoin: a new proof-of-work system with reduced variance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-14, December.
- Osman, Myriam Ben & Urom, Christian & Guesmi, Khaled & Benkraiem, Ramzi, 2024. "Economic sentiment and the cryptocurrency market in the post-COVID-19 era," International Review of Financial Analysis, Elsevier, vol. 91(C).