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Additional Information

About The Authors

FinDaS Tokenomics

Crypto professionals with over 150+ crypto projects experience, with a wide array of token economy specialists in various aspects (DeFi, CeFi, NFTs, DAOs), assisting project designs in a financially feasible and fiscally responsible way.

Hristo Piyankov: Lead Economist

Over ten years’ experience in analytics, data science, machine learning, big data, and AI with a finance background. Former Analytics Director for one of the largest consumer finance companies in the world's largest consumer market (China), leading several complex international projects to fruition. An expert in data modeling (financial, forecasts, estimations, budgeting, machine learning, statistical).

xHaven Team

Experienced in blockchain, cryptocurrency, and NFTs, with academic and professional backgrounds in software engineering, business and economics, business and management, fintech, finance, accounting, marketing, law, and business development.


xHaven cannot guarantee, represent, or warrant any exchange rate of XHVN. Any owner of XHVN shall have no recourse against xHaven for any and all price fluctuations or loss of tokens. This whitepaper represents just that, a whitepaper, and is subject to change or modification at any time as the goals of xHaven progress and as the industry evolves. Nothing contained herein is legal or financial advice, and there are no representations or warranties contained herein.

This document’s information may not be exhaustive and does not imply any elements of a contractual relationship or obligations. While xHaven makes every effort to ensure that any material in this document is accurate and up to date, such material in no way constitutes professional advice. xHaven does not guarantee nor accept any legal liability arising from the accuracy, reliability, currency, or completeness of any material contained in this document. No part of this document is legally binding or enforceable, nor is it meant to be.

This whitepaper is based on an evaluation method generally accepted by the cryptocurrency community (quantity theory of money and discounted cash flow analysis) and relies on a generally accepted school of economic thought (monetarist school of economics).

It is important to note that blockchain and cryptocurrency are nascent. There is little to no historical data, past performance results, and academic research on the topic of cryptocurrencies, let alone on the tokenization, economics, and long-term valuation of those asset classes. Stocks (equity) have been around since the early 1600s, and it is only recently that we have begun to have more comprehensive and widely accepted valuation models. However, they are still subject to bias and interpretation and suffer from their inputs’ quality. On the other hand, cryptocurrencies have been around since 2008, with a broader recognition around 2016 and an explosion in the number of tokens in 2017. As such, it is too early to evaluate or comment on the performance, monetary policy, and models behind any of them. As a result, this whitepaper relies on sound economic principles backed by data and reasonable assumptions.

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