- Project TypeToken
- Platform
Ethereum
- SymbolMLT
- Circulating SupplyNone specified
- Total SupplyNone specified
- Max Supply8,031.7
- Primary SectorGambling & Betting
- JurisdictionSingapore
Ethereum
Team
MICHAEL LARSEN
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
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
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 |
Where to Buy and Trade MLT Structural multi-level token with MLM based coupon
These are the crypto exchanges where you can buy, sell and trade MLT Structural multi-level token with MLM based coupon, ordered by exchange popularity. You should try the ones on the top first, but also look out for the "Recommended" badge as those are reliable exchanges that we have partnered with and are comfortable recommending them to our users.| Exchange | CSRank | |
|---|---|---|
| 1. |  TRX Market
|
1.29 |
1. Live token offerings
No live token offerings2. Upcoming token offerings
No upcoming token offerings3. Past token offerings
| Name | Started | Ended |
|---|---|---|
| MLToken ICO | 23 Mar 2018 | 22 May 2018 |
8 of 27 Team Members Verified
- Company Verified
- KYC Interview Conducted
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 <- this project
