Can a trader nowadays stay successful without using a crypto trading bot? Statistics suggest that algorithmic trading accounts for roughly 60% of all U.S. equity trading. How high is the number then for an online market that works 24/7?
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The foundation for any portfolio is deciding which assets should be purchased for your portfolio. Above all else, the selection of assets is the largest determining factor for how well a portfolio will perform over the long-term. Although there are strategies that can help reduce risk and boost performance, the assets we select for our portfolio will take priority.
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Dollar-cost averaging (DCA) is a strategy used by investors to reduce down-side risk of placing large sums of money into the market at one time. While this can be in the form of purchasing a single asset on a regular interval, it should also be considered as a way to regularly inject new funds into a portfolio.
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In the Shrimpy Application, threshold rebalancing is a strategy which can be implemented by users to control for risk. Automating your portfolio has never been easier. In seconds, implement a dynamic cryptocurrency index fund which tracks the market or allocate a portfolio of your own design. Manage a diverse portfolio across numerous exchanges by linking each of your exchanges to the Shrimpy application.
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In this study, we will be backtesting rebalancing strategies across a variety of different cryptocurrency exchanges and comparing the results. The intention is to create the most reliable guide on how executing trades, and more specifically rebalances, can impact performance from exchange to exchange.
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This study will stand as the first major analysis of threshold based rebalancing for cryptocurrency portfolios. The objective of this study is to not only accurately describe the historical performance of threshold rebalancing, but compare the results to those of a simple buy and hold strategy as well as periodic rebalancing. Due to the recent announcements of our support for threshold rebalancing in our portfolio management application, it is appropriate for us to thoroughly understand the historical implications of executing this strategy over long time periods.
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