Agent TED operates an autonomous, algorithm-driven pricing and trading engine.
The system ingests structured real-time sports data and applies deep neural networks to:
Identify positive expected value (EV) opportunities
Allocate capital across strategies and risk profiles
Manage exposure dynamically based on model confidence
TED’s models continuously update through statistical feedback loops.
Using cross-entropy loss and outcome validation, the system:
Adjusts weightings across leagues, teams, and market types
Incorporates success and failure ratios into future predictions
Improves long-term performance through convergence, not heuristics
Position sizing is governed by volatility and bankroll constraints
Profits are realized and aggregated at the system level
A portion of realized gains is routed to the Payout Vault for $TED staker distribution
Last updated 1 month ago