risk-management

Position sizing and stop-loss placement are determined by applying learned risk-management rules to your trade scenario. The Skill calibrates these actions using historical patterns with success rates and confidence scores to enforce disciplined risk limits.

Risk-per-trade validation checks if a potential trade aligns with established risk limits before entry. It guides trading decisions by leveraging a rules database of patterns with sample sizes and success rates to generate actionable entry or exit guidance.

Pattern analysis improves risk management by using historical patterns with success rates, sample sizes, and confidence scores to calibrate trading actions. This pattern-driven approach ensures position sizing and stop placement are based on validated competition outcomes.

Yes, you can apply these rule-based risk controls across multiple assets during a simulated futures session. The rules database provides the necessary pattern confidence and success rate data to validate risk-per-trade and trade frequency decisions.

The best way to control trade frequency and capital risk is by applying learned risk-management rules derived from competition outcomes. This approach uses a rules database of historical patterns with confidence scores to validate whether to enter or exit positions.