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The past performance of digital assets can never guarantee future price trends. There are never two situations that are exactly the same in the crypto market, so even historically similar token behavior patterns can follow completely different price trends.
Nevertheless, the history of individual price behavior of crypto assets is often rhyming, giving those who can prepare for this history a huge advantage over other traders. And, importantly, certain tokens are more likely to exhibit recurring behavior than others, which makes their bullish settings easier to identify in advance.
telegraph Market Professional Edition, A subscription-based data intelligence platform whose job is to search for the laws of past trading behaviors of encrypted assets and remind traders to pay attention to the historical bullishness of individual assets. It has been online for nearly a full year. Based on one year’s token performance data, the following are the assets with the most frequent bullish trading conditions in history and their subsequent price dynamics.
This chart shows the top 20 digital assets ranked by the total number of instances when the VORTECS™ score reaches 80. The VORTECS™ score is an algorithmic indicator that takes into account many variables surrounding each coin-including market outlook, price changes, social sentiment and trading activity-to assess whether its current situation is historically bullish, neutral or bearish. Generally, a VORTECS™ score above 80 is considered to be confidently bullish, while 90 and above indicate that the model is confident about the asset’s extremely favorable outlook.
Although Metaverse Coins-AXS and SAND-occupy the first and third places on this list, none of the digital assets sector dominates the chart, and the first tier and DeFi tokens are also widely seen in the top Among the 20. It can be seen from these data that the possibility of tokens exhibiting historically favorable trading patterns does not depend on the asset class.
For example, AXS has 75 times to exceed 80 points, while the first layer of AVAX recorded 42 historically favorable prospects, and DeFi token COTI has 40 days of high VORTECS™ days.
The second chart shows the average return of the VORTECS™ performance, which is often the best performer, 24, 48, and 96 hours after reaching the 80 and 90 scores. Few histograms point below zero, but most show stable positive returns, which means that most assets have been appreciated after showing strong bullish conditions. This is one of the best performing companies AVAX:
24 hours after 80 minutes: an average increase of 2.5%
48 hours after 80 minutes: an average increase of 5.3%
96 hours after 80 minutes: an average increase of 10.4%
24 hours after scoring 90: an average increase of 10.8%
48 hours after scoring 90: average gain of 16.0%
96 hours after scoring 90: an average increase of 19.1%
Other high scorers have more impressive returns in certain time frames. On the one hand, LUNA performed well in the 48 hours and 96 hours after the VORTECS™ score reached 90, with an average return rate of 31.7% and 40.9%, respectively.
Gain immediate market advantage
It is true that the performance of some assets is not consistent, the average return column points both above and below zero, while other assets, such as AAVE, LRC, and OGN, tend to depreciate after historically bullish patterns appear.
Nevertheless, most of the characteristic assets performed very positively and outperformed the market by a large margin. This trend has been observed in hundreds of VORTECS™ Score instances and has remained strong over a 12-month period, including bull market, bear market and sideways trading. This may not be a universal law, but it is clear that there are quite a few well-performing cryptocurrencies that often rhyme in the history, which pleases savvy traders.
Cointelegraph is a publisher of financial information, not an investment advisor. We do not provide personalized or personalized investment advice. Cryptocurrency is an unstable investment with significant risks, including the risk of permanent loss and total loss. Past performance does not predict future results. The figures and diagrams are correct at the time of writing or otherwise specified. The strategy of real-time testing is not a recommendation. Before making a financial decision, consult your financial advisor.
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