Why are our ratings different?
These crises were caused, in part, by the failures of financial ratings systems – systems which were dependent on human opinions and prone to vested interests. A lot of Professor Gregoriou’s early (and subsequent) academic work was an attempt to counter these flawed assessments of assets.
By combining AI with financial theory, our ratings set a new standard in digital asset ratings, offering users trustworthy, data-backed insights in a rapidly-evolving market. Our ratings framework is entirely data-driven and free from human intervention and bias, with an algorithm grounded in world-class research and techniques in financial modelling. Our model now informs our work consulting with Governments, the Bank of England and Central banks and Hedge Funds.
With RDA, users get a clear, credible, and scientifically validated rating system that sets a new standard for transparency and trust in digital asset evaluation.
Legacy Ratings vs RDA Ratings
| Legacy Ratings | RDA Ratings |
|---|---|
Human opinions | 100% data-driven |
Potential for bias | Unbiased algorithm |
Backward-looking | Near real-time analysis |
Missed 2007-09 crash | Designed to avoid the biases we're blind to |
Focused on equities | Covers Crypto, NFTs, DeFi |
About our methodology
This combination captures market fundamentals and investor behaviour, delivering ratings that reflect the true dynamics of digital assets.
We rate cryptocurrencies, DeFi tokens and NFTs as close to real-time as is technically possible for such complex factors to be assessed, deployed and calculated – typically 1-3 minute intervals. Our process is data-driven and measures factors such as liquidity, sentiment, volatility, momentum, market risk and market value.