quant-2-0-risk-management

Dynamic stop losses use ATR (Average True Range) volatility metrics to scale stop levels by risk profile. This Skill computes volatility-based stops that adjust automatically as market conditions change, enabling stops tighter in low-volatility periods and wider during high-volatility swings.

Yes. This Skill calculates position sizing and risk parameters from volatility data across both crypto and traditional assets. It applies user risk profiles to derive compliant position sizes aligned with your volatility environment and risk tolerance.

Backtest by feeding historical volatility data and risk profiles into the Skill's risk parameter calculation engine. It validates your strategy against volatility conditions and compliance checks, producing stop-loss and take-profit levels that reflect realistic market behavior during backtests.

Dynamic take profits auto-adjust based on volatility and your risk tolerance level. The Skill scales take-profit distance proportionally to ATR-derived volatility, so targets widen in volatile markets and tighten when volatility drops, keeping risk-reward ratios consistent.

Yes. Risk profiles define your risk tolerance and compliance constraints. The Skill uses these profiles alongside volatility retrieval to compute appropriate position sizes and governance checks, ensuring your positions stay within configured risk limits and regulatory requirements.