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>

frontend/src/pages/AdminPage.tsx

@@ -1,5 +1,6 @@
 import { useState } from 'react';
 import { ActivationSettings } from '../components/admin/ActivationSettings';
+import { SentimentProviderSettings } from '../components/admin/SentimentProviderSettings';
 import { DataCleanup } from '../components/admin/DataCleanup';
 import { JobControls } from '../components/admin/JobControls';
 import { PipelineReadinessPanel } from '../components/admin/PipelineReadinessPanel';
@@ -30,6 +31,7 @@ export default function AdminPage() {
         {activeTab === 'Settings' && (
           <div className="space-y-4">
             <ActivationSettings />
+            <SentimentProviderSettings />
             <TickerUniverseBootstrap />
             <RecommendationSettings />
             <SettingsForm />

frontend/src/pages/DashboardPage.tsx

@@ -9,6 +9,7 @@ import { Section } from '../components/ui/Section';
 import { SkeletonCard, SkeletonTable } from '../components/ui/Skeleton';
 import { formatPrice } from '../lib/format';
 import { recommendationActionLabel } from '../lib/recommendation';
+import { qualifiesSetup, activationSummary } from '../lib/qualification';
 import type { TradeSetup } from '../lib/types';
 
 function fmtR(value: number | null): string {
@@ -55,15 +56,12 @@ export default function DashboardPage() {
   const activation = useActivation();
   const performance = usePerformance();
 
-  const minRR = activation.data?.min_rr ?? 2;
-  const minConfidence = activation.data?.min_confidence ?? 70;
-
   const qualifiedSetups = useMemo(
     () =>
-      (trades.data ?? []).filter(
-        (t) => t.rr_ratio >= minRR && (t.confidence_score ?? 0) >= minConfidence,
-      ),
-    [trades.data, minRR, minConfidence],
+      activation.data
+        ? (trades.data ?? []).filter((t) => qualifiesSetup(t, activation.data!))
+        : [],
+    [trades.data, activation.data],
   );
 
   // Show qualified setups first; fall back to the full list when none qualify
@@ -112,7 +110,7 @@ export default function DashboardPage() {
           <Metric
             label="Qualified"
             value={String(qualifiedSetups.length)}
-            sub={`R:R ≥ ${minRR.toFixed(1)} & conf ≥ ${minConfidence.toFixed(0)}%`}
+            sub={activation.data ? activationSummary(activation.data) : 'clears the activation gate'}
             valueClass={qualifiedSetups.length > 0 ? 'text-blue-300' : 'text-gray-100'}
           />
           <Metric