AI

1.How CoinTest AI Research works?

  • Identify – We identity some of the most reputable cryptocurrencies projects that are solving real world problems. 
  • Analyse – We analyse technical fundamentals of public Blockchain projects through quantitative analysis of productivity data.
  • AI/ML – We use our AI and ML tools to get real data insights. These automated process will help us identify a project productivity and internal processes.

2.How Cointest works?

CoinTest AI does a comparative analysis of crypto-currencies by looking at various parameters of core code contributions in an open-source project to determine technical dominance. 

They include:

  • Number of Contributors: This includes the number of contributors who have contributed to the code in the project
  • Number of Issues: We look at the number of issues that are identified and worked on which is a good measurement of how bugs and code problems are being resolved
  • Number of Commits: We look at the number of commits being made to the code which a good measurement of how the core code is being updated
  • Number of Releases: We look at how many working executables are released which is a good measurement of the project having working solutions
  • Number of Forks: We look at the number copies of the core repository as a signal of the usefulness of the code for other projects and implementations

As a result, we hope that this tool helps the crypto-community in the following ways:

  • Increase productivity in development of blockchain protocols and applications
  • Increased ability to identify and neutralize scams early
  • More efficiency in determining the Intrinsic Value(IV) of various Blockchain eco-systems

3.Blockchain and cryptocurrencies key features

Blockchain technology provides key components such as;

  • A node application.
  • A shared or distributed ledger is a data structure managed inside a node application
  • A consensus algorithm that defines the ‘rules of the game’. Some examples like proof-of-work and proof-of-stake algorithms
  • A virtual machine.