MLT Structural multi-level token with MLM based coupon MLT

MLT Structural multi-level token with MLM based coupon has a TrustScore of E

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Multi-level token (MLT) – is a derivative structural product, based on Ethereum blockchain. Coupon revenue is formed by the bonus program designed into the token’s smart contract algorithm and is based on the principles of Multi-level Marketing.

Project TypeToken
Platform Ethereum
SymbolMLT
Circulating SupplyNone specified
Total SupplyNone specified
Max Supply8,031.7
Primary SectorGambling & Betting
JurisdictionSingapore

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Team

MICHAEL LARSEN

CEO

Solution Sales Executive
HSBC
March 2014 – OCt. 2017 3 years. 3 months
• Structuring deals for complex solutions
• Leading sales process from origination to closure
• Pro-actively driving campaigns for different asset classes

TEIMUR SAFAR

CBO

Independent Investment Advisor

Independent Financial Advisor

March 2010 – Nov. 2017 7 years 9 months.
-Commercial Real Estate & Global Investments:
-Market Analysis, Cash-Flow Modelling, Due diligence
-Deal Structuring, Execution, Asset Management
PwC
Junior Financial Advisor

PwC

Feb. 2007 – March 2010 3 years. 2 months.
PwC
Financial Advisor Assistant

PwC
May 2005 – Feb. 2007 1 year. 10 months.

Vetal Savva

CDO

Director, Mergers & Acquisitions
Goldman Sachs
Jan. 2016 – Nov. 2017
Leading the execution and supporting the origination of M&A transactions, including public and private sell-sides, buy-sides, etc.

Distribution

None specified

Milestones

None specified

Questions and Answers

None specified

8 of 27 Team Members Verified
Company Verified
KYC Interview Conducted

93%

Profile Quality

TrustScore™ is a Token Project scoring algorithm immune to manipulation.

Our proprietary TrustScore algorithm uses artificial intelligence machinery and combines dozens of data points including ID verification of every team member, company verification data, video interview with the project directors and dozens of additional data points offered by the projects such as social media profiles, white paper, questions and answers and many more to calculate the TrustScore.

A = Excellent
B = Good
C = Average
D = Below Average
E = Low

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