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USE CASE

Cryptocurrency Trading

Objective

  • Make predictions about the dynamics of the cryptocurrency market

  • Determine the sentiment of the crypto market by processing large amounts of different data types

  • Match customers with brokers and banks who will transact directly with cryptocurrencies, with minimal fees

Outcome

  • Models that can assess, understand, classify and predict using large/relevant data sets - all required for data sharing necessary for secure data sharing on the blockchain

H2O's AI and Data Approaches

  • Classification Models

  • H2O-3 gradient boosting machine to improve performance

  • Automatically create interactions between features

  • Perform feature selection to remove features that are not predictive to price

  • Linear model predictions

Resources

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