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Mirocana MIRO

Mirocana has a TrustScore of D
Mirocana is a complex predicting system based on deep-learning neural nets that collect, store and analyse huge volumes of financial data. We created three investment products based on system's predictions for stock, currency and crypto-currency markets.
  • Project TypeToken
  • Platform Ethereum
  • SymbolMIRO
  • Circulating SupplyNone specified
  • Total SupplyNone specified
  • Max Supply200,000,000
  • Primary SectorTrading & Investing
  • JurisdictionNone specified
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George Petrov photo

George Petrov


Developer and data scientist. He was developing high-load backend infrastructure for mobile games and served for several IT-companies based in Russia. He started Mirocana project 2,5 years ago.


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Questions and Answers

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Where to Buy and Trade Mirocana

These are the crypto exchanges where you can buy, sell and trade Mirocana, 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
Mirocana Pre-Sale19 Oct 201729 Oct 2017
Mirocana Token Sale19 Nov 201719 Dec 2017
Mirocana19 Nov 201719 Dec 2017
Mirocana 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
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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 <- this project
E = Low
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