【Author】 Cohen, Gil
【Source】MATHEMATICS
【影响因子】2.592
【Abstract】This research is the first attempt to customize a trading system that is based on second order stochastic dominance (SSD) to five known cryptocurrencies' daily data: Bitcoin, Ethereum, XRP, Binance Coin, and Cardano. Results show that our system can predict price trends of cryptocurrencies, trade them profitably, and in most cases outperform the buy and hold (B & H) simple strategy. Our system's best performance was achieved trading XRP, Binance Coin, Ethereum, and Bitcoin. Although our system has also generated a positive net profit (NP) for Cardano, it failed to outperform the B & H strategy. For all currencies, the system better predicted long trends than short trends.
【Keywords】cryptocurrencies; Bitcoin; Ethereum; algorithmic trading; artificial intelligence
【发表时间】2021 NOV
【收录时间】2022-01-01
【文献类型】
【主题类别】
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【DOI】 10.3390/math9222861
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