TES: Token evaluation system for blockchain contexts

Abstract

In the present work we introduce a new model to evaluate digital assets, like the tokens into the context of Blockchain. The goal is to design a Decision Support System useful to define a baseline of price to make more objective the negotiation between Parties (like project founder and Exchange, buyer and seller, and so on). To obtain a more effective result, the model, named Token Evaluation System (TES), implements a new mathematical formulation of events’ occurrence, which extends and includes the classical probability, by giving a more suitable tool for describing events which happen more frequently than their probability. In addition, the model, takes care of the consensus, the sentiment of the communities, and the opinions of experts in order to suitable estimate the value of digital tokens. As we will show, this theory encourage the authors to model more and more assets, to optimize and generalize this model, which is the first attempt for pricing digital tokens into the context of Blockchain and digital asset market.

Keywords:

• Probability theory and stochastic processes
• Statistics
• Numerical analysis
• game theory
• economics
• Social and behavioral sciences
• General applied mathematics