(2). Attributes evaluation tier
(3). Index calculation tier
(4). Index presentation tier
The RDAi proprietary algorithm operates across all four tiers to generate index data that are distributed via SaaS and API channels. The architecture provides a model by which users can create flexible and custom RDA Indices: New source data or/and RDA attributes can be introduced at any tier to generate indices that reflect a specific market viewpoint.
The existence of RDA Attributes in a crypto-asset determines its reliability as a store of value and consequently determines its intrinsic value. To model the intrinsic value of a crypto-asset, A, we specify a mapping (ES, DU, TE, MS) -> R that quantifies the intrinsic value of the asset as a function of its attributes. For our purpose R is restricted to a range between 0 to 1.
A measure of the intrinsic value of cryptoasset, A, is hence defined by the RDA score function r( ), where
r'( ) is a scoring function for the RDA Attributes (ES, DU, TE, MS) constituted within A.
The RDA Score is the core metric of RDAi. RDA Score is a measure of the intrinsic value of a cryptocurrency on a 0 - 1 point scale. The RDA Scoring function evaluates a cryptocurrency against all four groups of RDA attributes and produce a RDA score between 0 and 1 inclusive. An RDA score of 0 indicates that the cryptocurrency is lacking RDA attributes across the board: Such asset is regarded as an unreliable store of value. A score closer to 1 indicates that the cryptocurrency has a high number of RDA attributes and is consequently a more reliable store of value.
The sum total of RDA scores is the RDA Index level: RDA Index Level = . The RDA Index Level is a measure of how the cryptocurrency market is faring as a comparison over time. For a given basket (e.g. RDA 30 Index), a level of say 20.00 indicates a market that is sustained by 66% intrinsic value.
Real Digital Asset Price (RDAP) is the objective price of a cryptocurrency.