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Automated Coin Platform ACP

Automated Coin Platform has a TrustScore of D
0 following develops a growing set of readymade solutions to simplify the ICO process, from token issuance and token wallet to token economy management. We focus on medium and micro ICOs to cater for smaller startup, open-source and nonprofit projects.
  • Project TypeToken
  • Platform Ethereum
  • SymbolACP
  • Circulating SupplyNone specified
  • Total SupplyNone specified
  • Max Supply2,000,000
  • Primary SectorFinance
  • JurisdictionGibraltar
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Cristina Escoda photo

Cristina Escoda


Cristina (PhD, MBA) combines 7+ yrs of trading, quant and fin-tech experience. Cristina worked as a derivatives structurer on the NYC trading floor for HSBC, and in the macro and quant teams for the hedge fund D.E. Shaw ($42bn under management). Prior to co-founding ICOICO she founded Polymaze, a mobile payment platform, and was the Chief Data Scientist for Revon, a healthcare startup. Cristina holds a PhD in High Energy Physics from the University of Cambridge, UK, and an MBA from Stern NYU.


Ivan Mishur photo

Ivan Mishur


Ivan Mishur, MS. Ivan has more than 10 years of experience as a software architect and project lead for consumer and enterprise software and online platforms, with a strong focus on analytics, payments solutions and blockchain technology. Ivan holds a B.S. in Chemistry and a Masters in Chemical Engineering, both from the Belarusian State University in Minsk.


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Questions and Answers

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Automated Coin Platform 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
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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