Trading Strategies for Cryptocurrencies Based on Machine Learning Scenarios

DOI: 10.54691/bcpbm.v38i.4234

ABSTRACT: A Cryptocurrency is a peer-to-peer digital exchange system in which cryptography is used to generate and distribute currency units. Bitcoin as the foremost digital currency, using asymmetric cryptographic algorithms, blockchain , was conceptualized by Satoshi Nakamoto in 2008 and born in 2009. In 14 years, digital currency has gone from being initially controversial and worthless to rapid increase in value. The huge fluctuations in its price have attracted worldwide attention, and more people have begun to pay attention to the investment strategy of digital currency. Starting from the attributes of Bitcoin, this paper objectively compares the application effect of arbitrage strategy and trend strategy in on Bitcoin, analyzes and summarizes and predicts the future of Bitcoin's investment. To be specific, the arbitrage strategy involves three methods, i. e. , cash arbitrage, cross-exchange arbitrage and related variety arbitrage; trend strategy involves two methods, i. e. , the timing method and the multi-factor method. These results shed light on guiding further exploration of potential of investing digital currencies, which provides an in-depth summary of risk-free arbitrage and digital currency value forecasts.

of arbitrage and trend strategies in machine learning on Bitcoin
– Analysis and of Bitcoin's investment future

– Comparison of arbitrage and trend strategies in machine learning on Bitcoin
– Analysis and prediction of Bitcoin's investment future

– Comparison of arbitrage and trend strategies in machine learning on Bitcoin
– Analysis and prediction of Bitcoin's investment future

Methods used:

– Comparison of arbitrage and trend strategies in machine learning on Bitcoin
– Analysis and prediction of Bitcoin's investment future

– Comparison of arbitrage and trend strategies in machine learning on Bitcoin
– Analysis, summary, and prediction of Bitcoin's investment and future

– Paper compares arbitrage and trend strategies in machine learning for Bitcoin.
– Analyzes investment strategies and predicts future of Bitcoin's investment.

– Paper analyzes strategies for cryptocurrencies based on machine learning scenarios.
– Compares arbitrage strategy and trend strategy in machine learning on Bitcoin.

In this article , the authors compared the application effect of arbitrage strategy and trend strategy in machine learning on Bitcoin, analyzes and summarizes and predicts the future of Bitcoin's investment, and provides an in-depth summary analysis of risk-free arbitrage and digital currency value forecasts.

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