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BitDice CSNO

Price $0.019569 USD

-3.20%
PREMIUM
BitDice has a TrustScore of E
Participate in the transformation of a well established casino. BitDice is expanding its boundaries by entering a USD 50 billion market of fiat online casino and upgrading itself to the next-generation technology platform. MORE GAMES, MORE FUN & MORE OPPORTUNITIES!
  • Project TypeToken
  • Platform Ethereum
  • SymbolCSNO
  • Circulating Supply70,000,000
  • Total Supply100,000,000
  • Max SupplyNone specified
  • Primary SectorGambling & Betting
  • JurisdictionNone specified
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Distribution

Public Sale68,000,000 CSNO68.00%
Owners30,000,000 CSNO30.00%
Bounty2,000,000 CSNO2.00%

Milestones

Q4 2017New slot provider (20+ Games) | Live Games | Start of Smart Contracts R7D (Ethereum/IOTA) | Add CSNO Token on site
Q1 2018BitDice's own games: Roulette & BitAces | Mobile App | On-Site Raffles Using Token | Licensing R&D
Q2 2018Sports betting | BitDice's own games: Baccarat
Q3 2018BitDice's own games: Video Poker, Plinko, Slots
Q4 2018Poker

Questions and Answers

None specified
To invest in a token offering, visit the project's website (link in the overview tab)

Live token offerings

No live token offerings

Upcoming token offerings

No upcoming token offerings

Past token offerings

Name Started Ended
BitDice ICO15 Aug 201715 Sep 2017
BitDice15 Aug 201715 Sep 2017
BitDice has a TrustScore of E
  • 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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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 <- this project
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