Add multi-factor conviction gate to activation

Make "qualified" mean an edge candidate, not just R:R + confidence.
The gate now also requires (all admin-configurable, defaults on):
- high conviction: recommended_action LONG_HIGH / SHORT_HIGH only
- clean read: risk_level Low (no contradicting signals)
- probable primary target: best target probability >= min (default 60)

- Shared predicate: app/services/qualification.py +
  frontend/src/lib/qualification.ts (mirrored)
- Activation config extended (min_target_probability,
  require_high_conviction, exclude_conflicts) with bool-aware
  get/update + validation
- /trades/performance switched to ?qualified_only=true, applying
  the full gate server-side; confidence breakdown stays unfiltered
- Dashboard "Qualified", Signals "Qualified only" toggle, and
  Track Record all use the one gate; Admin gains the new controls

Sentiment provider runtime config (prior change) included.

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

tests/unit/test_activation_settings.py

@@ -24,16 +24,24 @@ async def session() -> AsyncSession:
 class TestActivationConfig:
     async def test_defaults_when_unset(self, session: AsyncSession):
         config = await get_activation_config(session)
-        assert config == {"min_rr": 2.0, "min_confidence": 70.0}
+        assert config == {
+            "min_rr": 2.0,
+            "min_confidence": 70.0,
+            "min_target_probability": 60.0,
+            "require_high_conviction": True,
+            "exclude_conflicts": True,
+        }
 
     async def test_update_and_read_back(self, session: AsyncSession):
         updated = await update_activation_config(
             session, {"min_rr": 1.5, "min_confidence": 60.0}
         )
-        assert updated == {"min_rr": 1.5, "min_confidence": 60.0}
+        assert updated["min_rr"] == 1.5
+        assert updated["min_confidence"] == 60.0
 
         config = await get_activation_config(session)
-        assert config == {"min_rr": 1.5, "min_confidence": 60.0}
+        assert config["min_rr"] == 1.5
+        assert config["min_confidence"] == 60.0
 
     async def test_partial_update_keeps_other_value(self, session: AsyncSession):
         await update_activation_config(session, {"min_confidence": 80.0})
@@ -41,6 +49,16 @@ class TestActivationConfig:
         assert config["min_rr"] == 2.0  # default untouched
         assert config["min_confidence"] == 80.0
 
+    async def test_conviction_flags_round_trip(self, session: AsyncSession):
+        await update_activation_config(
+            session,
+            {"require_high_conviction": False, "exclude_conflicts": False, "min_target_probability": 45.0},
+        )
+        config = await get_activation_config(session)
+        assert config["require_high_conviction"] is False
+        assert config["exclude_conflicts"] is False
+        assert config["min_target_probability"] == 45.0
+
     async def test_rejects_negative_rr(self, session: AsyncSession):
         with pytest.raises(ValidationError):
             await update_activation_config(session, {"min_rr": -1.0})
@@ -48,3 +66,7 @@ class TestActivationConfig:
     async def test_rejects_out_of_range_confidence(self, session: AsyncSession):
         with pytest.raises(ValidationError):
             await update_activation_config(session, {"min_confidence": 120.0})
+
+    async def test_rejects_out_of_range_target_probability(self, session: AsyncSession):
+        with pytest.raises(ValidationError):
+            await update_activation_config(session, {"min_target_probability": 150.0})