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Strategy Pipeline
The strategy pipeline is the operational process by which verified opportunities are developed, tested, scored, and deployed into active ayTOKEN allocations. It turns raw market data into a governed, documented, risk-adjusted position.
Component development
Components are the building blocks of strategies — analytical models, pattern recognition, quantitative frameworks, and market data pipelines. The current database includes onchain share price time-series analysis, lending utilisation and rate-sensitivity models, correlated-asset looping mathematics, funding-rate differential monitoring, options premium modelling, and liquidity/slippage estimation. Components are tools, not strategies.
Strategy mining & validation
Each candidate clears four validation layers before the deployment queue:
Across bull, lateral, and drawdown regimes.
Liquidity crises, utilisation spikes, oracle failures.
Live-data, simulated execution before any capital.
Deprioritise candidates correlated with active positions.
Deployment via ayTOKENs
Strategies deploy through the relevant ayTOKEN mandate. Deployment requires a documented strategy specification (yield source, risk parameters, expected APY range, drawdown threshold, exit conditions), sign-off from the strategy team, and entry into the Curator's Report. Initial position sizes are conservative and scaled only after live performance matches the validated profile.
Continuous optimisation
Three ongoing loops: performance monitoring (7/30/90-day APY vs validated profile), yield replacement (swap weaker-verified for better-verified alternatives), and deprecation (remove strategies whose risk characteristics change). The portfolio improves through disciplined replacement — not through chasing yield.
Discovery, monitoring, and analysis are automated. Strategy and portfolio decisions are not — every material decision requires sign-off from the strategy team before execution. Automated systems execute; humans judge. This is a deliberate, permanent design principle.