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BMTokens BMT

No TrustScore
Brick & Mortar Tokens aim to create a stable and growth oriented token by backing tokens with valuable, high yielding Real Estate Assets.
  • Project TypeToken
  • Platform Waves
  • SymbolBMT
  • Circulating SupplyNone specified
  • Total SupplyNone specified
  • Max Supply5,000,000,000
  • Primary SectorReal Estate
  • JurisdictionNone specified
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Team

Adrian Sauvageot photo

Adrian Sauvageot

Co-Founder

Adrian has always had an interest in blockchain technology, and was an early adopter of BitCoin in 2011. Understanding the value of real estate investing, at the age of 23, he invested in his first real estate property. He has since grown his real estate investment portfolio with both residential and industrial properties.

Kris Sauvageot photo

Kris Sauvageot

Co-Founder

Kris began investing in real estate at the age of 17 using the profits from his online ventures. Kris brings his experience and knowledge in planning, marketing, and management to the team ensuring all business investment plans are well developed and executed; mitigating potential risk.

Distribution

None specified

Milestones

None specified

Questions and Answers

None specified

Where to Buy and Trade BMTokens

These are the crypto exchanges where you can buy, sell and trade BMTokens, 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
To invest in a token offering, visit the project's website (link above)

1. Live token offerings

No live token offerings

2. Upcoming token offerings

No upcoming token offerings

3. Past token offerings

Name Started Ended
BMTokens ICO02 Apr 201815 May 2018
BMTokens has a TrustScore of D
  • Team Members Verified Badge 8 of 27 Team Members Verified
  • Company Verified Company Verified
  • KYC Interview Conducted KYC Interview Conducted
93%
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A = Excellent
B = Good
C = Average
D = Below Average <- this project
E = Low
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