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WatermelonBlock

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The Voice of the Market

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Team:

Elliot Rothfield - Director / UX Designer

Sonia Miles-Khan - Governance / COO

Daniel Shani - CTO

Bill Angelidis Blockchain - Development Specialist

Motti Peer - Public Relations

Jason Lee - NEM Blockchain Consultant

Utilizing the power of blockhain and IBM Watson Artificial Intelligence, WatermelonBlock is a product that is providing investment solutions to market problems via sentiment analysis. By scanning sentiment from social and traditional media, WatermelonBlock arms investors with real-time actionable insights at the press of a button. As proud partners of IBM, WatermelonBlock makes AI and sentiment analysis accessible to investors of all different levels of experience. 

Expert Review

TokenTops
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4.8 out of 5

Watermelon wants to use sentiment analysis in providing better investment possibilities. The Watermelon Token (WMB) gives access to the platform, which through an intuitive design enables cryptoinvestors to make better decisions and understand the market more efficiently. The tool empowers both professional traders, as well as beginners. Market outlooks are obtained by scanning the internet and social media sources to gather public sentiment on the cryptocurrency market. As there are no algorithms or computers that would be able to analyze data sets as huge as WatermelonBlock wants to use in researching the cryptomarket, the developers want to benefit from one of the most sophisticated AI platforms, which is IBM Watson. While the primary focus at the beginning of the project is to create informational platform and analytical tools, the second phase of WatermelonBlock app includes introducing their own AI-powered Trading Bot. The team behind WatermelonBlock is relatively big and consists of many experienced and skilled members. As they want to provide tool for investors it's worth noting that there are trading and analytical experts on the board with over 20 years experience in media and analytics.

User Review

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Turtle14 july 2018, 07:44

This project is seriously one of the most brilliant ideas. Sentiment analysis is so obvious but I have not been able to find anything like WatermelonBlock. I am very very interested to see how it performs in real time.

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