Abstract: A service provider may receive merchant analytics information from a plurality of merchant devices. In some examples, the service provider may generate a model based at least in part on the merchant analytics information, the model including a core set of features for predicting a merchant metric associated with a merchant. The service provider may detect a lift in an observed value of the merchant metric based at least in part on a residual value of the merchant metric at a location of the lift, and add an additional feature to the model to cause a predicted value of the merchant metric to correspond to the observed value of the merchant metric at the location of the lift. The service provider may further send information associated with the feature to a merchant device associated with the merchant. As an example, the information may include a prediction for the merchant metric and/or a recommendation for improving the business of the merchant.

Abstract: A service provider may receive merchant analytics information from a plurality of merchant devices. In some examples, the service provider may generate a model based at least in part on the merchant analytics information, the model including a core set of features for predicting a merchant metric associated with a merchant. The service provider may detect a lift in an observed value of the merchant metric based at least in part on a residual value of the merchant metric at a location of the lift, and add an additional feature to the model to cause a predicted value of the merchant metric to correspond to the observed value of the merchant metric at the location of the lift. The service provider may further send information associated with the feature to a merchant device associated with the merchant. As an example, the information may include a prediction for the merchant metric and/or a recommendation for improving the business of the merchant.

Abstract: The disclosure relates to an improved technology protocol for a distributed cryptocurrency system with built-in measures to mitigate volatility of a subject cryptocurrency. The distributed cryptocurrency system may include a number of computer nodes connected via a network. At least some of the nodes may programmatically implement all or portion of a cryptocurrency protocol that programs the nodes to stabilize the value of a subject cryptocurrency. As such, the protocol includes a distributed, decentralized set of programmatic rules for mitigating price volatility of the cryptocurrency. The protocol may include a state determination mechanism to assess whether interventive actions to stabilize a value of the cryptocurrency is triggered. The protocol may electronically expand or contract the supply of the cryptocurrency through use of three different types of electronic tokens that are functionally distinct from one another and that each play a role in expanding or contracting the supply of the cryptocurrency.

Abstract: A service provider may receive merchant analytics information from a plurality of merchant devices. In some examples, the service provider may generate a model based at least in part on the merchant analytics information, the model including a core set of features for predicting a merchant metric associated with a merchant. The service provider may detect a lift in an observed value of the merchant metric based at least in part on a residual value of the merchant metric at a location of the lift, and add an additional feature to the model to cause a predicted value of the merchant metric to correspond to the observed value of the merchant metric at the location of the lift. The service provider may further send information associated with the feature to a merchant device associated with the merchant. As an example, the information may include a prediction for the merchant metric and/or a recommendation for improving the business of the merchant.