Data Signals vs. Noise: Misleading Metrics and Misconceptions About Crypto-Asset Analytics

Written by jrodthoughts | Published 2019/08/03
Tech Story Tags: cryptocurrency | bitcoin | ethereum | data-science | machine-learning | deep-learning | intotheblock | latest-tech-stories

TLDR The most effective metrics to evaluate the behavior of crypto-assets are, surprise-surprise, those that factor in elements that are specific to crypto and that have no equivalent in other asset classes. Analytics and market metrics should mimic the demographic of the investor population and, in crypto, that means to have simple signals that normal people can understand. Complicated patterns in a market that we don't quite understand yet is a recipe for disaster. Simple doesn’t only mean easy to understand but flexible to change and adapt to market changes.via the TL;DR App

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Written by jrodthoughts | Chief Scientist, Managing Partner at Invector Labs. CTO at IntoTheBlock. Angel Investor, Writer, Boa
Published by HackerNoon on 2019/08/03