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/components/admin/ActivationSettings.tsx

@@ -6,6 +6,9 @@ import { SkeletonTable } from '../ui/Skeleton';
 const DEFAULTS: ActivationConfig = {
   min_rr: 2,
   min_confidence: 70,
+  min_target_probability: 60,
+  require_high_conviction: true,
+  exclude_conflicts: true,
 };
 
 export function ActivationSettings() {
@@ -19,12 +22,12 @@ export function ActivationSettings() {
   }, [data]);
 
   const onSave = () => {
-    update.mutate(form as unknown as Record<string, number>);
+    update.mutate(form);
   };
 
   const onReset = () => {
     setForm(DEFAULTS);
-    update.mutate(DEFAULTS as unknown as Record<string, number>);
+    update.mutate(DEFAULTS);
   };
 
   if (isLoading) return <SkeletonTable rows={2} cols={2} />;
@@ -33,16 +36,16 @@ export function ActivationSettings() {
   return (
     <div className="glass p-5 space-y-4">
       <div>
-        <h3 className="text-sm font-semibold text-gray-200">Activation Thresholds</h3>
+        <h3 className="text-sm font-semibold text-gray-200">Activation Gate</h3>
         <p className="mt-1 text-xs text-gray-500">
-          What counts as a signal worth acting on. Used as the default Signals filters, the
-          Dashboard's qualified-setup metrics, and the Track Record's "qualified only" view.
-          All setups are still evaluated regardless, so these thresholds can be validated
-          against the confidence breakdown.
+          What counts as a signal worth acting on. Drives the Dashboard's "Qualified" metric, the
+          Signals "Qualified only" view, and the Track Record's qualified stats. All setups are
+          still evaluated regardless — tighten the gate, then watch qualified expectancy in the
+          Track Record to find what actually wins.
         </p>
       </div>
 
-      <div className="grid gap-4 md:grid-cols-2">
+      <div className="grid gap-4 md:grid-cols-3">
         <label className="block space-y-1">
           <span className="text-xs text-gray-400">Min Risk:Reward (1 : x)</span>
           <input
@@ -53,6 +56,7 @@ export function ActivationSettings() {
             onChange={(e) => setForm((prev) => ({ ...prev, min_rr: Number(e.target.value) }))}
             className="w-full input-glass px-3 py-2 text-sm"
           />
+          <span className="text-[11px] text-gray-600">Set above your scanner floor or it does nothing.</span>
         </label>
         <label className="block space-y-1">
           <span className="text-xs text-gray-400">Min Confidence (%)</span>
@@ -66,6 +70,50 @@ export function ActivationSettings() {
             className="w-full input-glass px-3 py-2 text-sm"
           />
         </label>
+        <label className="block space-y-1">
+          <span className="text-xs text-gray-400">Min Target Probability (%)</span>
+          <input
+            type="number"
+            min={0}
+            max={100}
+            step={1}
+            value={form.min_target_probability}
+            onChange={(e) => setForm((prev) => ({ ...prev, min_target_probability: Number(e.target.value) }))}
+            className="w-full input-glass px-3 py-2 text-sm"
+          />
+          <span className="text-[11px] text-gray-600">Best target's probability must clear this. 0 disables.</span>
+        </label>
+      </div>
+
+      <div className="grid gap-3 md:grid-cols-2">
+        <label className="flex cursor-pointer items-start gap-2.5 text-sm text-gray-300">
+          <input
+            type="checkbox"
+            checked={form.require_high_conviction}
+            onChange={(e) => setForm((prev) => ({ ...prev, require_high_conviction: e.target.checked }))}
+            className="mt-0.5 h-4 w-4 cursor-pointer accent-blue-400"
+          />
+          <span>
+            Require high conviction
+            <span className="mt-0.5 block text-[11px] text-gray-500">
+              Only LONG (High) / SHORT (High) — the signals must clearly pick a side.
+            </span>
+          </span>
+        </label>
+        <label className="flex cursor-pointer items-start gap-2.5 text-sm text-gray-300">
+          <input
+            type="checkbox"
+            checked={form.exclude_conflicts}
+            onChange={(e) => setForm((prev) => ({ ...prev, exclude_conflicts: e.target.checked }))}
+            className="mt-0.5 h-4 w-4 cursor-pointer accent-blue-400"
+          />
+          <span>
+            Exclude conflicted setups
+            <span className="mt-0.5 block text-[11px] text-gray-500">
+              Risk level must be Low — drops setups with contradicting signals.
+            </span>
+          </span>
+        </label>
       </div>
 
       <div className="flex items-center gap-2">