3 Adjustments to Our Weiss Crypto Ratings Model

By Juan M. Villaverde On December 3, 201908:00 AM Eastern

My Lists

To reflect recent industry trends, we’ve made three adjustments to the Weiss Crypto Ratings model:

First, we’ve raised the bar on technology: We are doing more to penalize copycats. Plus, we are requiring that Distributed Ledger Technology (DLT) be more unique and robust to merit the best grades.

Second, adoption now plays a somewhat larger role in our Tech/Adoption Grade.

Third, Risk/Reward, now called Market Performance, plays a smaller role in the overall Weiss Crypto Rating.

As a result, you will see many ratings changes this week in both directions — upgrades and downgrades.

Just be aware that they are not a reflection of something that just took place in the past seven days. Rather, almost all of today’s ratings changes reflect adjustments we’ve made to the Weiss Crypto Ratings model in order to better reflect broad shifts in the industry as a whole over the past year or more.

Best,

Juan

Juan M. Villaverde

Editor

About the Editor

When econometrician and pro trader Juan M. Villaverde first applied his algorithms to Bitcoin, he discovered a regular cyclical pattern. He has since used it to build the world’s first crypto timing model based on cycles. That model has gone 3-for-3 in pinpointing the moment in time when his favorite cryptos were primed for the parabolic phase of the crypto bull market. Just in his monthly letter alone, the average gain on all his crypto trades is 309%, or 4.1x on 29 closed trades.