Whitepaper Summary

AI Quant Strategy Ecosystem

AIX is designed as a utility-token economy for AI strategy discovery, verification, subscription, staking, governance, and AI compute payments.

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AIX AI Quant Strategy Ecosystem
Architecture

From strategy data to on-chain settlement

01

Market & On-chain Data

Tick data, exchange records, macro signals, and chain activity.

02

AI Model Layer

LSTM, Transformer, LightGBM, reinforcement learning, and scoring.

03

Verifier Nodes

Backtesting, stress testing, adversarial validation, and review.

04

Smart Contracts

Subscription payments, staking, rewards, and treasury routing.

05

Strategy Store

Users discover and subscribe to verified strategy signals.

AI ratings

Dynamic strategy review

AIX uses multiple signals for strategy evaluation: Sharpe ratio, max drawdown, win rate, live/backtest fit, anti-overfit index, and explainability score.

AI Agent

Portfolio automation roadmap

The whitepaper describes future AI Agent allocation, risk parity, drawdown control, and user-configurable risk preferences with traceable activity.

Governance

Risk controls and compliance posture

DAO Parameters

Governance can adjust review rules, collateral levels, and fee parameters.

Circuit Breaker

Strategies that underperform stated benchmarks can be reduced or removed.

Legal Clarity

The token is presented as a utility token and should not be marketed as investment yield.