Add trade setup outcome tracking and performance stats

Closes the feedback loop on R:R scanner signals:

- Nightly outcome_evaluator job replays unresolved setups against daily
  OHLCV bars: target_hit / stop_hit / ambiguous (same-bar, counted as
  loss) / expired after OUTCOME_EVALUATION_MAX_BARS (default 30)
- Migration 004: evaluated_at + outcome_date on trade_setups
- GET /trades/performance: hit rate, expectancy (avg R), total R with
  breakdowns by direction, recommended action, and confidence bucket
- New Performance page (stat cards, breakdown tables, Evaluate Now,
  methodology disclosure) wired into sidebar and mobile nav
- 17 new unit tests for evaluation logic and stats aggregation

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

tests/unit/test_scheduler.py

@@ -68,7 +68,7 @@ class TestResumeTickers:
 
 
 class TestConfigureScheduler:
-    def test_configure_adds_five_jobs(self):
+    def test_configure_adds_six_jobs(self):
         # Remove any existing jobs first
         scheduler.remove_all_jobs()
         configure_scheduler()
@@ -80,6 +80,7 @@ class TestConfigureScheduler:
             "fundamental_collector",
             "rr_scanner",
             "ticker_universe_sync",
+            "outcome_evaluator",
         }
 
     def test_configure_is_idempotent(self):
@@ -91,6 +92,7 @@ class TestConfigureScheduler:
         assert sorted(job_ids) == sorted([
             "data_collector",
             "fundamental_collector",
+            "outcome_evaluator",
             "rr_scanner",
             "sentiment_collector",
             "ticker_universe_sync",