Live Trading

Agent TED has transitioned from static pregame predictions to a fully autonomous live trading framework. This evolution allows the AI to analyze, react, and execute wagers in real time as games unfold, introducing a level of precision and speed that traditional sportsbooks and human bettors cannot match.

TED’s live trading engine operates as a closed-loop system. The neural network continuously ingests live market data, including line movements, in-game player metrics, momentum shifts, and liquidity changes, to identify inefficiencies as they appear. When the model detects a profitable opportunity, it executes trades automatically based on bankroll management parameters and confidence thresholds.

This approach transforms sports betting from a reactive activity into a continuous, data-driven trading operation. Live trading expands TED’s advantage and increases the frequency of reward triggers for stakers, since opportunities now occur throughout the course of a single event rather than only before it begins.

Every component of the process: prediction, execution, settlement, and payout is automated and verifiable on-chain. This ensures transparency, removes bias, and creates a scalable structure for multi-sport, real-time AI trading.