How to choose which Digital Assets Portfolio Management Strategy to copy?


Copying a manager’s allocations provides a simple way for the average person to not worry about the complexities of digital assets portfolio management strategies. Copying allocations is the most potent social portfolio management strategy tool for new investors. It provides a simple way to start learning about portfolio management strategies of cryptocurrencies, engage with leading managers in the industry, and execute advanced digital assets management strategies. Among the available social crypto portfolio management strategies, copying allocations is far above and beyond the best option for crypto investors. Copying allocations from a manager means you are entrusting your funds to that manager. Without a step-by-step breakdown of the strategy they are implementing, copiers will need to trust the manager to have a professional methodology for crypto portfolio management. Although copy allocations can sometimes feel like a black box, extensive historical performance data, detailed trade history, and portfolio stats can help mitigate the present concerns. In this paper, we have shown that there are tools for measuring skills and Statistical techniques to detect whether skill drives the superior performance of some crypto portfolio strategies.  Table 1 below shows Iconomi rankings on the landing page; that rankings of crypto strategy performance provide almost no information regarding management skills.  The top ten in 24 hours is almost random and shows only one crypto strategy managed by a skilled manager. Potential investors are better advised to consider the data in this article than to rely on such rankings.

Table 1 – Iconomi rankings on the first page

We have vast experience across the banking and finance sector, and we’ve been in the crypto space for years and gauged portfolio management strategies of cryptocurrencies. With so many cryptocurrency portfolio management strategies on the market – how did we select the ones for this study? Unlike other “best lists,” – we didn’t get paid to write this. We did the research, cut through the noise, and put together the very best options. We hope this post helped you understand some of the best options depending on your needs.

Copying allocations is the most advanced form of copying manager.

Instead of evaluating a strategy, copying allocations can evaluate the actual assets held on the exchange by a manager. As the manager executes trades, these trades can instantly be sent to any copiers to accomplish the same trades. With copy allocations, it doesn’t matter how the manager got to their positions. The focus is placed on the results rather than the strategy. That way, the copier is separated from the strategy implementation and simply needs to worry about the manager they are copying.

  • At every step of the way, copiers will maintain the same portfolio as the managers – effectively copying their performance. Additionally, managers can change their strategies at any time. Copiers don’t need to download new strategies or pay for updates.
  • By copying allocations, managers can keep their strategies proprietary. They never need to disclose how they trade or what factored into their decisions. The trades will be automatically copied to copiers regardless of how they made the decision.
  • Copying allocations requires managers to have funds on the exchange. Since copiers will be copying the currently allocated assets, managers become forced to have skin in the game. Instead of using second-rate strategies, the leader must use their best strategy. Otherwise, the manager’s own funds won’t perform optimally.

Superior performance must be repeatable to be claimed as a skillset

Contribution lies in delineating the significant debates, given the overall complexity of differentiating skill from luck. The aspiration to identify the nature of the skill involved in achieving extraordinary returns with a crypto portfolio management strategy remains.
Successful investing, like most activities in life, is based on a combination of skill and serendipity. Distinguishing between the two is critical for forward-looking decision-making because skill is relatively permanent while serendipity, or luck, by definition, is not. A crypto portfolio manager who is skillful this year presumably will be skillful next year. A crypto portfolio manager who was lucky this year is no more likely to be lucky next year than any other manager. In other words, above-average performance is evidence of both good luck and superior skill. However, whereas the skill element is permanent, the luck element is transitory. Therefore, the expected performance next period reverts back toward the mean because the luck variable has an expected value of zero.

We may simply identify the crypto strategies of skilled managers. In the analysis, we suppose that they were in the top 25% of all strategies for one year, two consecutive half-years, and four consecutive quarters. One rather intuitive approach follows. Recall that the motivating factor is that such managers “won” as a result of skill and that skills remain for a period of time. In sports, team owners and sports fans rely on the persistence of skill. By analogy and as shown by the analysis herein, the same holds for crypto managers’ performance.
Results demonstrate that crypto portfolio management strategies that consistently outperform do so as a result of skill. One remaining question is whether it is possible to translate this knowledge into a winning strategy for investing in crypto strategies. Many such strategies may exist.

Table 1 – Top 10 strategies by net return managed by skilled managers

Investors seek positive risk-adjusted returns that also account for all transaction costs and/or management fees.

While acknowledging the importance of measuring risk, asset allocation and diversification are fundamental risk management concepts for thousands of years. They are also one of the core concepts behind modern portfolio management strategies. Fundamental finance principles, along with common sense, dictate that investors account for both risks and return, yielding some measure of positive risk-adjusted returns that also account for all transaction costs and/or management fees. About performance fee cost and gross-net returns, you can read in this article. In other words, investors seek positive alphas (a’s), i.e., risk and cost–adjusted positive returns. Alpha is a term used in investing to describe an investment strategy’s ability to beat the market or its “edge.”  We can see in table 1 that all crypto strategies managed by skilled managers have a positive alpha. It men’s that managers deliver excess returns.

Statistical technique to detect whether skill drives the superior performance of some crypto portfolio strategies.

For example, while the probability that a person flips a coin and ends up with ten heads in a row is less than one in a thousand (1/1032 = 0.098%), such strings of luck do occur, and when they do, it does not skill on the part of the person flipping the coin. Some of the hundreds of crypto portfolio management strategies may end up the “winners” for prolonged periods of time. Naturally, investors need to know whether streaks of superior performance are due to skill. The analysis herein demonstrates that such streaks exist within the family of digital assets management strategies and are due to skill, not luck.
Competition alone in sports dictates that not all professional teams can win; the most highly skilled teams appear to win more often.

The simple model provides a useful, practical tool for assessing the impact of skill and luck on portfolio performance. This technique, the generalized binomial distribution, models a sequence of n Bernoulli events in which the result of each event is either success or failure (i.e., successive quarters during which strategy outperform or do not outperform 75% of all strategies). We gauged Beta, Alpha, Sharp. Beta measures the relative volatility of an investment. It is an indication of its relative risk. Alpha and beta are standard calculations used to evaluate an investment portfolio’s returns, along with standard deviation and the Sharpe ratio.

When the model is applied to a sample of Iconomi crypto strategies managers (history from 7/1/2020 to 6/30/2021 and ACS over 100 thousand $), the results indicate the most of the annual variation in performance is due to luck, not skill (Table 2). Nonetheless, the model provides another way of analyzing performance data. The analysis also supports the view that rankings of crypto strategy performance provide almost no information regarding management skills. Potential investors are better advised to consider the data in this article than to rely on such rankings.

We have covered each of the strategies, and we can display the results in simple grids. That way, we can directly compare some strategies we examined.


Table 2 – 10 assets coping strategies managed by lucky managers

We can see in table 2 that all crypto strategies managed by lucky managers have a random alpha. It means that some of these managers are lucky, the others are unlucky, but they are not skilled. We noticed that half of the portfolios were not well diversified. With the same technique, we also detect unskilled managers (Table 3). Each of them delivered negative alpha. With their work, they were destroying the return they could get.

Table 3 – Bottom 10 strategies by net return managed by unskilled managers

Should individuals include actively managed crypto strategies in their investment portfolios?

They should if and only if the result of active management is superior performance due to skill. This paper employs a previously ignored statistical technique to detect whether skill drives the superior performance of some crypto portfolio strategies.
In contrast to a large degree of extant evidence, the approach demonstrates that skilled crypto strategy managers exist – persistence in superior performance cannot be attributed to luck. Results display a statistically significant proportion of crypto strategies. However, small in number (10%), they outperform their peers on a risk-adjusted basis and do so due to skill, not luck (Table 1).

We gauged Crypto Strategies, which were actively managed with the limit represented by passively managed index strategies (2100News Ethereum Tokens Index and Blockchain index). Above the limit were a few strategies. A good deal of prior evidence indicates that most actively managed crypto strategies fail to outperform these two passively managed index strategies.
This result signifies the rationality of entrusting one’s wealth to successful and skillfully managed cryptocurrency portfolio management strategies. Hence, a well–designed portfolio that includes actively managed crypto strategies may trump a wholly passive index strategy.

We hope this gives you a better understanding of what to look for when picking a Crypto Strategy to follow for your investment.


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