The Datamine Network has advanced its real-time analytics capabilities by successfully implementing core components of its new trend analysis engine. Leveraging the immutable, decentralized structure of the Datamine smart contracts, these updates bring sophisticated mathematical data directly to the user dashboard. ## Storing Cross-Token Trend Data The development team has completed two major development milestones: * Storing comprehensive cross-token trend data, cataloging both active and broken historical trends. * Quantifying the rate at which support and resistance trends grow or decay on a monthly basis. By organizing this historical on-chain data, the platform provides a clearer mathematical view of token velocity and structural price levels without relying on centralized, vulnerable servers. ## Real-Time Distances and the JUICY Algorithm The next phase focuses on calculating the real-time mathematical distance to these key trendlines across all monitored digital assets. This metric is a crucial prerequisite for the upcoming JUICY algorithm. The JUICY algorithm is designed to identify windows of expected price volatility across the crypto market in real-time. It operates on the premise that significant price actions frequently occur when long-term trendlines are either broken or successfully defended as support or resistance. This research and development build on Datamine’s philosophy of using deep, real-time data metrics to understand market efficiency. By automating these calculations, Datamine continues to provide users with transparent, high-fidelity decentralized market tools.