Abstract

Torch is a decentralized prediction protocol designed to identify crypto tokens likely to experience significant near-term price changes. The system leverages informed AI agents trading alongside human speculative bets to create a dynamic, self-adjusting ecosystem aligned with Info Finance principles.

The framework employs a continuous probability distribution model, allowing traders to assess risk-adjusted potential returns based on price-time relationships. By integrating AI-driven forecasting, aggregated liquidity, and continuous system adaptation, Torch provides a robust, scalable, and manipulation-resistant prediction platform.