Cryptics

Our Analysis

Team: 6

Feasibility: 6

Product: 6

Overall Rating: 6

Short Description: The world's first public crypto forecast based on AI. 1) Deep Learning AI predicts the cryptocurrency rates with 70%+ accuracy 2) Deep Learning AI predicts the cryptocurrency rates with 70%+ accuracy. Enhance your trading with neural network with 100,000+ data sources.

Category: Other

Category: Tokens Cryptocurrency

Website: https://cryptics.tech

Github: Click to visit

BitcoinTalks: Click to visit

Twitter: Click to visit

Medium: Click to visit

Facebook: Click to visit

1) Name: Cryptics

2) Address: Russia, Moscow

3) Ticker: QRP

4) Platform: ERC20

5) Token: 0,001 ETH

6) Presale 07.05.2018 – 21.05.2018

7) Private sale ICO 25.06.2018 – 26.08.2018

8) ICO  27.08.2018 - 24.09.2018

9) Hardcap – 20 million dollars

10) We don’t have Softcap

11) The quantity of released tokens – 100 million

12) Supply amount – 66.000.000

13) Founders: Stanislav Maer https://www.linkedin.com/in/stanislav-maer-1105ba125/

Oleg Tereshenko https://www.linkedin.com/in/oleg-tereshenko-49182a41/

14) CRYPTICS -  CRYPTICS provides a platform and connects individual fund managers, traders, financial quantitative researchers as well as the data science community. The whole point of CRYPTICS is to prove AI based service to the community, it's resources and market data to analyse and make trades. Our goal is to increase safety and reliability

15) Deep Learning AI predicts the cryptocurrency rates with 70%+ accuracy. Our crawlers gather data from 100,000+ social media sources, 400+ technical indicators and numbers are rising, so our forecasts are as objective as possible.
Based on the collected data, the neural network predicts the future exchange rate with an accuracy of 70% and higher. Unlike people, AI is not vulnerable to panic or greed, and constantly improves.
CRYPTICS will construct a whole ecosystem powered by Ethereum smart contracts. Traders will gain leverage, investors will find asset managers and data scientists will increase their expertise.
Core team members are math and data science PhDs, former Intel, Alcatel, Nokia, NEC, SAP, Wings workers with average 9,4 years of relevant experience.

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