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Abstract:
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Many financial trading strategies to Cryptocurrencies usually involves the use of artificial networks, neural networks, algorithmic trading, etc., arguably methods which require significant computing power. We contribute to the literature instead by examining one of the simplest traditional trading strategies in finance - momentum trading, and provide a small extension of this method to cryptocurrencies in a high frequency setting. We investigate whether it can be adapted for use with cryptocurrencies (in a high frequency scenario) as an alternative to more complex methods, whilst still yielding positive results.
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