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Cortex also fuses multiple signals to reduce model risk: • On-chain liquidity metrics • Funding rate dynamics • Cross-protocol correlations Instead of trusting one indicator, it cross-validates signals across the ecosystem. That’s institutional-grade thinking on-chain.

Each agent maintains regime-conditional parameters. Meaning: Momentum agent behaves differently in markup vs distribution. Risk limits adjust dynamically. Position sizing adapts automatically. No fixed rules. No static weights. Adaptive capital allocation > blind execution.

The magic layer? Markov Regime Switching (MRS). MRS detects state transitions in real time. Think of it as a probabilistic brain that asks: “Are we trending?” “Are we ranging?” “Are we entering crisis?” Then reallocates capital accordingly.

Cortex is a multi-agent autonomous trading system built on Solana. Instead of one strategy, it deploys specialized AI agents: • Momentum • Mean-reversion • Liquidity provision • Arbitrage Each agent performs best in different market conditions.

Most bots = single strategy fixed parameters. Example: Momentum bot → always trend following Mean-reversion bot → always fade extremes But what happens when the regime changes? They keep trading… and bleed. Cortex doesn’t. docs.cortex.io/

DeFi markets are non-stationary. They constantly shift between: • Accumulation • Markup (bull trend) • Distribution • Markdown (bear trend) • Crisis volatility Static strategies can’t survive these transitions. Cortex is built specifically for this reality.

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