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Decentralised Unbiased Cryptoasset Ratings Platform Powered by AI & ML | Evai.io

Cryptocurrency investment can be a volatile road whereby a single tweet from a prominent, influential entrepreneur can effectively pivot the market sending prices to all-time highs or lows. It’s not just the huge impact on the sentiment around assets, cryptocurrency charts are — in effect — a real-time view of human psychology; the volume of purchases when the market dips to huge selloffs when various news items break, the factors and variables that affect the price are numerous.

 

The Evai.io platform employs academic research and economically modelled Artificial Intelligence and machine learning that assess the best cryptocurrencies to invest in, evaluating assets through a range of indicators called Power Factors. These factors test cryptoassets against Liquidity, Volatility, Momentum, Utility, Behavioural Bias, Capitalisation, Market Risk, Sentiment and Overextension. Completely unbiased and processed through live cryptocurrency data, AI and machine learning investigate how each asset performs as well as an additional subset of 20+ further KPI’s including, but not limited to Amihud Ratio, Fear and Greed Index, Sharpe Ratio, Moving Average, Firm Profitability, Bollinger Band and many more.

 

By placing tokens through such rigorous cryptocurrency analysis, the real value is revealed along with the amount of risk the assets carry for investors. Each asset is awarded a rating based on its current live data, while the platform looks for further data that may reduce or increase its current rating due to market events that AI and machine learning have anticipated ahead of time.

 

Evai.io brings a tangible disruptive solution to the unpredictability of the cryptocurrency investment world, providing investors with clear, unbiased crypto ratings. It is a world-first and one that has its roots in the academic research carried out by Professor Andros Gregoriou, Professor of Finance at The University of Brighton and advisor to the Bank of England.

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Uploaded on June 2, 2021