Finamatrix proprietary Risk-Cybernetics™ is applied in machine-learning algorithms to solve real-world problems. By developing a software protocol in smart contracts, risk-cybernetics can be applied to crypto-token selection in a portfolio setting with MVSK utility optimization, where MVSK is mean-variance-skewness-kurtosis paradigm that better describes and captures the inherent risks and returns of crypto-currencies, which are non-normal and usually skewed or fat-tailed.
FiNNAMATRIX Quant Fund - 20%
Cryptocurrencies / Global NewTech - 20%
Software and Infastructure Development - 30%
3B Token Pricing System - 30%
ETH, BTC, WAVES
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