Add activation thresholds: qualified-signal defaults and views

Admin-configurable thresholds (min R:R, default 2.0; min confidence,
default 70%) defining what counts as an actionable signal:

- Admin Settings: new Activation Thresholds panel
  (GET/PUT /admin/settings/activation)
- GET /trades/activation exposes values to all users with access
- Signals/Setups: filters initialize from activation values
- Track Record: "Qualified signals only" toggle (default on) via
  min_rr/min_confidence params on /trades/performance; the
  confidence breakdown always covers the full population so the
  thresholds can be validated against outcomes
- Dashboard: "Qualified" metric and qualified-first Top Setups
- Outcome evaluator unchanged: every setup is still evaluated

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

app/routers/trades.py

@@ -6,6 +6,7 @@ from sqlalchemy.ext.asyncio import AsyncSession
 from app.dependencies import get_db, require_access
 from app.schemas.common import APIEnvelope
 from app.schemas.trade_setup import RecommendationSummaryResponse, TradeSetupResponse
+from app.services import admin_service
 from app.services.outcome_service import get_performance_stats
 from app.services.rr_scanner_service import get_trade_setup_history, get_trade_setups
 
@@ -49,8 +50,27 @@ async def list_trade_setups(
     return APIEnvelope(status="success", data=data)
 
 
+@router.get("/trades/activation", response_model=APIEnvelope)
+async def get_activation_thresholds(
+    _user=Depends(require_access),
+    db: AsyncSession = Depends(get_db),
+) -> APIEnvelope:
+    """Activation thresholds (min R:R, min confidence) for actionable signals.
+
+    Readable by any user with access — drives Signals-page default filters
+    and the Dashboard's qualified-setup metrics. Configured by admins via
+    PUT /admin/settings/activation.
+    """
+    config = await admin_service.get_activation_config(db)
+    return APIEnvelope(status="success", data=config)
+
+
 @router.get("/trades/performance", response_model=APIEnvelope)
 async def get_trade_performance(
+    min_rr: float | None = Query(None, ge=0, description="Only setups with R:R >= this"),
+    min_confidence: float | None = Query(
+        None, ge=0, le=100, description="Only setups with confidence >= this"
+    ),
     _user=Depends(require_access),
     db: AsyncSession = Depends(get_db),
 ) -> APIEnvelope:
@@ -58,8 +78,11 @@ async def get_trade_performance(
 
     Outcomes are written by the nightly outcome_evaluator job (win = target
     hit first, loss = stop hit first, expired = neither within the window).
+    Optional min_rr / min_confidence filters apply to the overall, direction
+    and action breakdowns; the confidence breakdown always covers all setups
+    so thresholds can be validated against it.
     """
-    stats = await get_performance_stats(db)
+    stats = await get_performance_stats(db, min_rr=min_rr, min_confidence=min_confidence)
     return APIEnvelope(status="success", data=stats)