We at Coin 2030 employ several real-world models from traditional and Web3 finance to project future cryptocurrency prices. These models have been either sourced from well-established financial institutions such as JP Morgan, Goldman Sachs, and BlackRock, or from well-established mathematicians and economists such as Fischer Black and Myron Scholes. Robert C. Merton, or developed by the founder of Coin 2030 and in-house financial analyst Dhirendra Chandra Das, who holds an MBA in Finance with over 7 years of experience in crypto markets (2021 to present) and over 11 years in stock markets (2015 to present).
Table of Contents
1. Institutional Models
This model is an aggregation of all price predictions from major financial institutions, such as (including but not limited to): BlackRock, Goldman Sachs, WisdomTree, Strategy, Fidelity, Bitmine, Forbes, Binance, and many others.
The aim is to compute the median or mean of these values and project it.
The success of this value rests on the assumption that the mean of several figures is the most accurate representation of reality. This is a foundational concept in statistics and has been proven numerous times to be true.
2. Analyst Consensus
The analyst consensus model is a modification of the institutional model, in which individual analysts replace institutions. Here, we follow only those analysis which have been trusted well in the crypto markets. These analysts have been verified for at least 5 years of individual experience. Some of them are: Eric Balchunas, Markus Thielen, Benjamin Cowen, Lark Davis, and many others.
3. Technical Models
Technical analysis includes using technical charts like candlesticks, line charts, histograms, bar graphs, etc., and indicators like RSI, Supports and Resistances, Moving Averages, Elliott Waves, Bollinger Bands, Fibonacci Series, and many similar tools to arrive at a baseline price where multiple indicators indicate nearby values.
4. Fundamental Analysis Models
Fundamental Analysis models help decode the price of a cryptocurrency by a heuristic method, which calculates the combined effect of fundamental factors such as outstanding exchange balances, token unlocks, active users, total users, wallet balances, exchange inflows and outflows, regulations, and others. Some of these factors are quantifiable, such as wallet balances, exchange data, etc., whereas some of them are non-quantifiable, such as regulatory impact. For quantifiable values, the numbers are directly put into calculations, whereas for non-quantifiable ones, we assign a value from 1 to 10 and then obtain the net effect.