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Valencia, Venezuela
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Review on Numeraire by José A Rodríguez

Predicting to Earn Incomes in Cryptocurrency

Through a series of algorithms designed and supported by the Python Programing Language, the Numeraire Network looks to transcend all windows of common innovation. The particularity of this project is that it is not a basic blockchain for financial purposes, but an assistant guided by professional Artificial Intelligence (AI) that predicts possible data that serves for controlling the capital of the platform as well as giving scalability to other projects.



It works through that system, and it offers a great functioning. Until now all predictions given on it has been exact at the moment of being revealed. With time the platform became in a model of global tournaments where users contribute to the cause and help the system to provide impressive results. The most support they give to it the highest reward the will receive.



Beyond the high-quality AI used on the platform, it works also with a type of science that users apply to learn of. This platform can be specially used for learning, and researching matters because it has advanced features. Besides, the programming language used on the platform is one of the most efficient, and already used in hundreds of networks.



As a tournament, the network is especially practical because it encourages users to give the best predictions to grow up in the platform. They count with a leaderboard that will be filled with the name of participants.



There are so many users can do on the platform beyond just predicting. I recommend to take a look at it and decide if it gives you comfort. It is a fun and great network, and it counts with a good rating on the market.

Pros & cons

  • It is simple, efficient, and useful. Users can easily integrate on the platform and know what it proposes.
  • Staking is also possible, and it gives the highest rewards or incomes for doing it. Users can earn substantial amounts of crypto.
  • It counts with a great programming language governed by Python.
  • It encourages users to keep working in the platform, and frequently posting their prediction to save the capital of the network, and earn profits.
  • The project is recognized by major digital newspapers of finances as well as recognized markets.
  • When trading, the availability of exchanges can be an issue since it has low partnerships on them.