Crypto Risk Management Policy for Signal-Based Monitoring

Risk-First Interpretation Framework

This project is designed for structured monitoring, not guaranteed outcomes. Risk must be treated as the primary dimension, while status and quality are secondary context variables. Any row can fail under volatility expansion, liquidity collapse, or event-driven regime change.

How Risk Score Is Formed in Your Local Pipeline

The local scanner risk model accumulates flags from market-cap profile, volume-to-cap pressure, FDV to market-cap structure, circulating-supply context, number of market pairs, and short-term overheat conditions. Additional risk load can be applied depending on relaxed or emergency selection modes.

Policy and Legal Stack

This policy must be used together with:

Regulatory Responsibility

This policy does not replace legal, tax, or compliance advice. Before acting on any scanner output, users should verify whether the relevant asset class, venue, and execution method are permitted in their jurisdiction and suitable for their risk profile.

High-risk setups, leverage, and illiquid instruments can produce losses faster than model refresh intervals. A risk-management policy is effective only when position limits and stop conditions are enforced consistently by the user.

Risk Warning

Digital asset markets are highly volatile. Any decision made using scanner data is fully your own responsibility and may result in partial or total capital loss.