AsterNode uses a six-stage research framework.

1. Market Monitoring
   Continuous review of price, volume, liquidity, volatility, market structure, blockchain activity, macro developments, and unusual behavior.

2. Market Regime Analysis
   Identification of trend, range, event-driven, high- or low-volatility, and liquidity-dislocation conditions.

3. AI and Quantitative Screening
   Multi-source signals are evaluated together. A single indicator is never sufficient.

4. Quantitative Validation
   Candidate nodes are tested against historical data, comparable regimes, and scenarios to expose uncertainty and reject weak candidates.

5. Analyst and Risk Review
   Analysts examine timing, context, assumptions, liquidity, news, and invalidation factors, then approve, reclassify, return, or reject a candidate.

6. Classification and Feedback
   Surviving candidates become validated trade nodes, and outcomes are reviewed to improve future research.

AI models, historical data, quantitative testing, and analyst review cannot eliminate uncertainty or guarantee performance. Clients retain control of their assets and execution decisions.