RDA's

Digital asset ratings

How we rate: the science behind the scores.

Why are our ratings different?

To explain why our ratings are different, we need to go back to the financial crises of 2007-2009 - in many ways, the start of RDA’s journey.

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. 

Near real-time ratings

See the latest scores instantly so you can react to market changes.

Easy to understand

Our ratings are simple to understand and use.

One simple score

No more sifting through pages of data — get a clear rating at a glance.

Compare easily

See how different assets stack up side-by-side.

Spot opportunities early

Ratings update as soon as conditions change, helping you get ahead.

Backed by experts

Our methodology is built on rigorous analysis, so you can make decisions with confidence.

Legacy Ratings vs RDA Ratings

Legacy RatingsRDA 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

Unlike purely AI-based trading algorithms, our methodology is transparent, evidence-based and grounded in proven academic approaches including Expected Utility Theory (rational, risk-return modelling) and behavioural finance (understanding real-world investor psychology). 

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.

The RDA White Paper introduces the ranking factors behind our algorithm. 
Download our white paper

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