Strategy detail

Multi-Asset AI Portfolio

A diversified AI overlay rotating among BTC, ETH, SOL, and stable reserves based on regime detection.

15.7% avg monthly return
Medium risk
Performance panel
30D return
+13.1%
90D return
+39.5%
Trade count
3,418
Win rate
59%
Launch summary

For users who want a portfolio-level AI operating system. The model rebalances allocations, reduces concentration, and responds to market regime shifts.

Best across changing market regimes where diversification reduces single-asset stress.

Supported assets
BTC, ETH, SOL, USDC
Supported DEX
Hyperliquid, Jupiter, GRVT, TradeXYZ
Minimum allocation
$5,000

AIQuant does not custody assets or provide financial advice.

Historical and simulated performance is not guaranteed.

Why this strategy works

The portfolio model scores assets by momentum, breadth, liquidity resilience, and volatility efficiency.

It shifts into defensive stable allocations during unstable cross-asset regimes.

AI maintains human-readable rationale for every rebalance event.

AI decision model
Cross-asset strength and relative momentum dispersion
Stablecoin reserve deployment under volatility stress
Execution venue reliability and liquidity resilience
Risk profile
Conservative
Balanced
Dynamic
Aggressive
Professional
Allocation suggestions
Safe allocation
15% of portfolio

Keeps diversification high and stable reserves available.

Balanced allocation
25% of portfolio

AIQuant default for multi-asset participation.

Growth allocation
35% of portfolio

For users prioritizing broader beta capture with managed rotation.