Dragon Review - Execution And Monitor Consistency

Governance Metrics

removed_trade_over_removal_count: monitor 0.0 vs source-derived 0.0 -> match
local_sensitivity_robust_case_count: monitor 52.0 vs source-derived 52.0 -> match

Execution Fallback Rule

dragon_daily_signal_pipeline.py uses NaN on missing next-bar execution prices: True
dragon_refined_execution_validation.py uses NaN on missing next-bar execution prices: True

Weekly Monitor Separation

dragon_forward_weekly_summary.csv includes system_monitor row: True
dragon_forward_weekly_review.html includes system_monitor text: False

Judgment

The monitor chain is trustworthy only if governance metrics are derived from current source artifacts rather than hard-coded constants.
The execution-aware chain is trustworthy only if missing next-bar prices do not silently fall back to same-bar close.
Weekly summary is cleaner now because branch rows and system-level monitor counts are separated.