According to the rating agency FCAS it is described that:
Crown's market dynamics are good because the support has been resisting for several months now and this has a direct impact on the health of the ecosystem and developments. In the long run, it is appreciated that Crown offers a clear vision of the product's elements, an added value that is not found everywhere. The users and markets that determine the health of the project seem to be on board and always loyal. After all, Crown's roadmap is so much about providing future business intelligence solutions to help blockchain organizations drive growth. This can have a huge impact on companies and users today.
In this circonstance the quality audit is very positive
I know their auditing methods, they are very effective.
I know their auditing methods, they are very effective.
How do they do it?
During the audit they transform the data from the chain of blocks for better analysis then normalize the chain events into a single standard model and then map the off-chain efforts to the chain results. Behavioural models reveal asset flows from users, miners in the cases involved, validators and other stakeholders to trades and portfolios. They also segment and aggregate user groups to show concentrations of activity, the level of activity of a user base over time, and user retention rates.
They go far beyond simple block browsers and query services to understand what matters most and improve the value of networks.
The other part of the audit concerns the hidden parts of the ecosystem.
Concretely they segment into 3 parts:
- Speculators / Addresses carrying out transactions with exchanges with no other use.
- Holders / Addresses that strictly accumulate crypto-money without further distribution.
- Users / Addresses that use a project for its intended purpose.
Then applying behavioral modeling to addresses and transactions on the block chain or a particular targeted token contract, they use these components to highlight good and bad examples of user behavior that can have a positive impact on price; and to isolate previously hidden trails on the ecosystem of a token or coin in this case Crown CRW.
At another stage, all audited data flows through their pipelines. Their data science transforms this data into a more thoughtful FCAS score that also provides higher fidelity data analysis. At the end of the analyzed pipeline program, you will receive a higher fidelity FCAS score and an analytical dashboard. It seems to me that FCAS scores are provided on a scale of 0 to 1,000 points with a corresponding letter grade. The breakpoints are based on the standard deviations in the distributions of the underlying components.
The numerical score is derived from a combination of classical statistics with Bayesian approaches to provide a simple score for each metric. The scores are only intended to be statements of opinion on the relative health of applicable cryptography projects based on the available data.