Order aggressiveness modeling workflows for selecting passive-to-aggressive placement under queue and alpha-decay constraints. use when tasks involve aggressiveness policy design, queue-jump decisions, and execution-probability tradeoffs.
Model and calibrate order aggressiveness to maximize fill quality while controlling information leakage.
python scripts/order_aggressiveness_modeling_diagnostics.py input.csv --output diagnostics.json and keep the json artifact.references/order-aggressiveness-modeling-playbook.md with assumptions, tests, limits, and rollout plan.scripts/order_aggressiveness_modeling_diagnostics.py for deterministic diagnostics.references/order-aggressiveness-modeling-playbook.md for the domain checklist and delivery structure.