ICO All-in: Rating ken Sales for a Confident Investing Opportunity

Jul 06, 2018 at 11:23 // PR
The ICO All-in team has created a detailed and extensive rating system, in which it takes into account a multitude of factors to rate the possibility of the token or coin giving a good return on contributed money.

With token sales popping up every day,  there is a need for single, reliable rating system for contributors so that they are safe from scams and other projects that may not be successful. Thanks to ICO All-In, this is has been made possible.

Hong Kong – Created by a team of professionals from blockchain and the financial industry,  ICO All-In gives users a comprehensive, holistic host of information on current and upcoming tokens sales, with a rating that helps participants make better decisions about backing a particular token.

Token Sales Everywhere 

In the last couple of years, there has been an immense increase in the number of decentralized platform launches and their associated tokens. The internet is flooded with hundreds of blockchain platforms, each claiming to be the next de facto market leader. The problem arises when a participant who may not be so tech-savvy lacks the appropriate information about which coin or token will be the best to back. The white papers are full of promises and technical jargon that is an alien concept for an ordinary person. The team’s authenticity and reliability is another factor. 

Even the plan is sound and the team is capable, there are other factors that may affect the post token sale scenario: competitors, regulations, exchange selections, weak marketing etc. 

ICO All-In: Easing Contributor Discomfort 

The  ICO All-in team has created a detailed and extensive rating system, in which it takes into account a multitude of factors to rate the possibility of the token or coin giving a good return on contributed money. The platform collects data and creates ratings at multiple levels, each as complex and detailed as the previous one:

  • Cryptocurrency Rating: Evaluation is based on the dimensions of the project and its currency with information collected through the publicly available information of the project.
  • Sales Evaluation: Data about the token sale is collected from official and third-party channels, such as timelines, teams, technology, negative reviews etc.
  • Human Machine Integration: The platform uses artificial intelligence for its Due Diligence, in collaboration with IBM’s Watson AI program. The result is scrutinized by an internal and external team of experts. The project team will also be contacted for further verification and establishing if the team is genuine or not.

In the end,  ICO All-in will assign grading through a simple representation of alphabets, to inform users of the token sales ranking. The ranking ranges from A (BTC/ETH competitor) to E (fraud, deception etc.) and finally a U for unrated. 

Direct Token Backing 

The  ICO All-in team has a simple form on its website that allows cryptocurrency projects to submit information about their platform. Once the information is received, the ICO All-in team scrutinizes and after giving the platform a rating displays it on its upcoming/in progress pages for its users to check out. Through the direct backing option for rated tokens, ICO All-in provides its users the ability to contribute to projects through the platform, thereby giving projects exposure to backers who are more confident than the average ones. 

This also means that  ICO All-in users will have access to private sales that they would otherwise not be able to take part in. This creates a win-win situation for potential contributors and the project itself. 

The evaluation platform creates a simple, yet effective rating system that enables backers, whether individuals or institutional, to make a more calculated decision and increase their profits.

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Media Contact
Name: Lei He

ICOAll.in is the source of this content. This press release is for informational purposes only and should not be viewed as an endorsement by CoinIdol. We take no responsibility and give no guarantees, warranties or representations, implied or otherwise, for the content or accuracy. Readers should do their own research before investing funds in any company.

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