Implementing the most advanced machine learning algorithms available to maximize prediction accuracy without regard to computational resources.

Limiting the dataset to only the most recent transactions to reduce the computational load and simplify model training.

Designing the system with elastic cloud resources and distributed computing capabilities to dynamically scale with the increasing data volume and user demands.

Prioritizing system performance over data encryption and access controls to ensure the fastest possible transaction processing times.