The Alpha Filter
How Scoring Works
A public, conceptual explanation of how Aethelix turns observations into research context.
The public scoring model
The Alpha Filter organizes multiple observable conditions into readable scores and status labels. The public model can be understood as six conceptual stages: discover, enrich, analyze, score, list, and refresh.
Discover identifies candidates. Enrich adds available context. Analyze reviews observable conditions. Score converts that context into research-oriented indicators. List presents qualifying public results. Refresh updates living intelligence as conditions change.
Aethelix does not publish scoring formulas, weights, numeric thresholds, listing rules, worker architecture, data-source routing, or security implementation details. This page describes the user-facing model only.
How to interpret a score
- Read scores together with the underlying market and liquidity context shown on screen.
- Expect values and labels to change as new activity is observed.
- Treat missing data as uncertainty.
- Use independent research before making a financial decision.
Aethelix signals are heuristic research tools, not financial advice or instructions to buy or sell. Crypto trading involves significant risk, including the possible loss of all funds used in a trade.