Market & On-chain Data
Tick data, exchange records, macro signals, and chain activity.
AIX is designed as a utility-token economy for AI strategy discovery, verification, subscription, staking, governance, and AI compute payments.
Access AIX TokenTick data, exchange records, macro signals, and chain activity.
LSTM, Transformer, LightGBM, reinforcement learning, and scoring.
Backtesting, stress testing, adversarial validation, and review.
Subscription payments, staking, rewards, and treasury routing.
Users discover and subscribe to verified strategy signals.
AIX uses multiple signals for strategy evaluation: Sharpe ratio, max drawdown, win rate, live/backtest fit, anti-overfit index, and explainability score.
The whitepaper describes future AI Agent allocation, risk parity, drawdown control, and user-configurable risk preferences with traceable activity.
Governance can adjust review rules, collateral levels, and fee parameters.
Strategies that underperform stated benchmarks can be reduced or removed.
The token is presented as a utility token and should not be marketed as investment yield.