Description
Numerai is a decentralized hedge fund that leverages encrypted data contributed by thousands of anonymous data scientists to predict stock market movements. These data scientists build machine learning models and are rewarded with Numerai's native token, Numeraire (NMR). This process is facilitated by the Ethereum blockchain, ensuring a trustless and transparent environment. Numerai's innovative approach emphasizes collective intelligence, encrypting data to prevent overfitting and model copying. NMR has a current supply of 10,716,924.9207371, with 7,311,115.24675042 in circulation and a price of $14.1278, showing a 2.89% decrease in the past 24 hours. The project, founded in 2015 by Richard Craib and headquartered in San Francisco, aims to revolutionize Wall Street with crowd-sourced financial strategies submitted through monthly tournaments. Its investment team includes industry leader Howard Morgan and investors like Naval Ravikant, raising $7.5 million in funding by 2016. For more details, visit [Numerai](https://numer.ai/).
Numerai is a decentralized hedge fund that leverages encrypted data contributed by thousands of anonymous data scientists to predict stock market movements. These data scientists build machine learning models and are rewarded with Numerai's native token, Numeraire (NMR). This process is facilitated by the Ethereum blockchain, ensuring a trustless and transparent environment. Numerai's innovative approach emphasizes collective intelligence, encrypting data to prevent overfitting and model copying. NMR has a current supply of 10,716,924.9207371, with 7,311,115.24675042 in circulation and a price of $14.1278, showing a 2.89% decrease in the past 24 hours. The project, founded in 2015 by Richard Craib and headquartered in San Francisco, aims to revolutionize Wall Street with crowd-sourced financial strategies submitted through monthly tournaments. Its investment team includes industry leader Howard Morgan and investors like Naval Ravikant, raising $7.5 million in funding by 2016. For more details, visit [Numerai](https://numer.ai/).
