RC1 Layered Governed Optimization - Acceptance Summary

Date: 2026-04-09

1) Guardrail Results

RC1 golden manifest regenerated successfully.
trade_count = 91, event_count = 272, win_rate = 52.75%, avg_return = 3.42%.
core hash guardrails unchanged:
- events: 8965d1b539a998d7d0aff04432aa2a47cf30ee40df013b9d8b7eb66a3d50a331
- trades: 1298be56b0898266b0b854d62a979c00c20b01629393c82bb8c804faf852cb97
layer attribution mapping audit remains clean: no unknown reason mapping.

Layered orchestration modules added:
- dragon_rule_engine_v2.py
- dragon_rules_core.py
- dragon_rules_secondary.py
- dragon_rules_bridge.py
dragon_strategy.py remains compatibility facade.
Structured control-state fields added and wired:
- entry_reason_layer/family/code
- last_real_sell_reason_layer/family/code
- bridge flags for predictive and pending deep-oversold chains.
High-risk string-coupled checks migrated to structured fields in predictive/pending paths.

Dedicated branch created: alpha_next_weak_family_cleanup.
Experiment outputs generated:
- dragon_weak_family_experiment_summary.csv
- dragon_weak_family_trade_diff.csv
- dragon_weak_family_execution_stress.csv
- dragon_weak_family_experiment.md
- dragon_weak_family_experiment_config_snapshot.json
Added/removed attribution produced for each experiment vs RC1 baseline.
Execution stress replay (same_close, next_open, next_close, plus next_open + 20 bps/side) completed.

Executed and passed:

py -3 -m unittest discover -s tests -v
- total: 8 tests, all OK.
py -3 dragon_daily_signal_pipeline.py --as-of 2026-04-08
- completed successfully (smoke gate pass).

New test coverage: