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We are not a start-up.
All you need to know about FIX Token ICO in one place.
Your source of potentially super-normal returns.
We believe in brevity, statistical parsimony & real value.
Finamatrix, based on a partnership-model,
builds Custom Blockchain Smart Contracts
embedded with Risk-CyberneticsTM Tech with
bespoke algorithms to decode price discovery of
Crypto-Currencies or any asset for Time-varying
Portfolio Selection, so as to better manage crypto-
risks and reduce the problem of selection bias.
Every Crypto-currency or asset is subject to different price
discovery functions and our tech implements MVSK utility
optimization to better describe and estimate the pricing
function and uncover commonalities for logical industry
groupings. These self-learning protocols are embedded in
the smart contracts for seamless execution (no time lag),
with automatic re-calibration (statistical bias reduction) in
an optimized portfolio.
IMPACT on Finamatrix (FIX) Coin/Token Asset
Finamatrix is an ongoing big data machine-learning
Project as more and more crypto-tokens by the market
are created for inclusion in our portfolio to better manage
crypto-risks and reduce selection bias.
The ownership of the FIX token in any quantity gives
access rights to our crypto decoder and owners will need
to use the FIX token to pay for additional value-added
services such as customized risk statistics and decision
nodes for selected portfolios. Hence with this utility role
of the FIX token, it is suitably classified as an asset and not
NO COMPETITORS : FULL PARTNERSHIP-MODEL
Finamatrix creates win-win partnerships with any party for
sustainable growth. We support new and existing coins/tokens
by buying and adding them into our optimized portfolio.
Our partnership-oriented business model disrupts the portfolio
optimization space for reduced selection bias and augmented
understanding of crypto-risks to create more consistent returns.
CRYPTO-RISKS? CRYPTO BUBBLES?
With MVSK (Mean-Variance-Skewness-Kurtosis) Utility
Optimization coupled with Risk-CyberneticsTM , continuous
optimization is incorporated in our Blockchain Smart Contracts
which will give the FNX token intrinsic value.
CRYPTO LIQUIDITY & MARKET MAKING
By understanding how crypto-currencies are structured in
their liquidity provision, whether they are mined or
whether there is an algorithm for auto-generation to
balance supply-demand or whether they are manually
intervened, our MVSK Utility Optimization coupled with
Risk-CyberneticsTM are able to decipher the pricing
function to a fuller extent.
The models created for crypto-assets become useful to
market-makers and brokers of crypto-currencies for
Trick Question. What do they have in common?
ADAM SMITH (born June 16, 1723) was a Scottish economist, philosopher,
and author. Notable ideas:“the invisible hand”
WILLIAM F. SHARPE (born June 16, 1934) is an American economist. He is
the STANCO 25 Professor of Finance, Emeritus at Stanford University and
the winner of the 1990 Nobel Memorial Prize in Economic Sciences.
Notable works: Capital Asset Pricing Model (CAPM) and Sharpe ratio.
LANZ CHAN (born June 16, 1975) is a Singaporean economist and quant
specialist who was based in China for 12 years and was Professor at Beijing
Institute of Technology. Notable works: Atomic Portfolio Selection MVSK
Utility Optimization and Risk-Cybernetics technologies.
FiNAMATRiX : LEGACY & THE POWER OF IDEAS
Founded almost 11 years ago in 2006 by Dr Lanz Chan.
Finamatrix is a machine-learning firm and now an established external
investment manager that harnesses proprietary Risk-CyberneticsTM to
Alpha Returns for Accredited Investors in a regulated Cayman fund
while partnering Hong Kong/Singapore regulated fund managers ...
... Finamatrix applies Blockchain to link the security of tokens with best-
in-class, crowd-sourced and super-scalable risk-cybernetics AI quant
strategies that are now available to anyone buying the FIX Token ICO.