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Finamatrix is a machine-learning company offering Risk-Cybernetics FinTech, TradeTech & Robo-Advisory as a Provider, Partner and External Investment Manager to regulated institutions. Since 2006, Finamatrix manages the private Finamatrix Quant Fund. In 2017, we offer regulated funds and will launch an ICO (initial coin offering) with quarterly audited reports. Finamatrix is founded by ...



White Papper


Social Media Ststistics.

In Crypto, community matters




Joined April 2009




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Finamatrix Investments Pte Ltd is an exempt private limited investment holding company in Singapore and provides this material only as a reference. Nothing in this material should be construed as advice. Prospective investors are advised to consult their financial advisors or other professional advisors before making any investment decision. The contents of this material are based upon sources of information believed to be reliable, however, no guarantee, warranty or representation (express or implied) is given as to its accuracy or completeness and, Finamatrix Investments Pte Ltd and their directors, officers and employees do not accept any liability or responsibility in respect of the information herein. Further, information in this material may be subject to change without notice. Historical results of any investments do not necessarily indicate future performance. You should take advice from own professional advisors before making any investment decision. Without prior written express permission, this material is not to be altered or transmitted in any way, copied or distributed.

White Paper

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. And CSR.

Value Proposition

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 a security.


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. a security.


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.


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 revenue generation.

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.


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 achieve ...

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.