diff --git a/backend/services/instrument_service.py b/backend/services/instrument_service.py
index d48b57d..a85a751 100644
--- a/backend/services/instrument_service.py
+++ b/backend/services/instrument_service.py
@@ -544,10 +544,11 @@ def _get_relevant_events(
                    (SELECT GROUP_CONCAT(DISTINCT a.instrument)
                     FROM causal_event_analyses a
                     WHERE a.market_event_id = e.id)                                                              AS analyzed_instruments,
-                   (SELECT a.template_id    FROM causal_event_analyses a WHERE a.market_event_id = e.id ORDER BY a.id DESC LIMIT 1) AS cea_template_id,
-                   (SELECT a.id             FROM causal_event_analyses a WHERE a.market_event_id = e.id ORDER BY a.id DESC LIMIT 1) AS analysis_id,
-                   (SELECT a.prediction_json FROM causal_event_analyses a WHERE a.market_event_id = e.id ORDER BY a.id DESC LIMIT 1) AS cea_prediction_json,
-                   (SELECT a.actual_json     FROM causal_event_analyses a WHERE a.market_event_id = e.id ORDER BY a.id DESC LIMIT 1) AS cea_actual_json
+                   (SELECT a.template_id      FROM causal_event_analyses a WHERE a.market_event_id = e.id ORDER BY a.id DESC LIMIT 1) AS cea_template_id,
+                   (SELECT a.id               FROM causal_event_analyses a WHERE a.market_event_id = e.id ORDER BY a.id DESC LIMIT 1) AS analysis_id,
+                   (SELECT a.prediction_json  FROM causal_event_analyses a WHERE a.market_event_id = e.id ORDER BY a.id DESC LIMIT 1) AS cea_prediction_json,
+                   (SELECT a.actual_json      FROM causal_event_analyses a WHERE a.market_event_id = e.id ORDER BY a.id DESC LIMIT 1) AS cea_actual_json,
+                   (SELECT a.activation_score FROM causal_event_analyses a WHERE a.market_event_id = e.id ORDER BY a.id DESC LIMIT 1) AS cea_activation_score
             FROM market_events e
             ORDER BY e.start_date DESC
         """).fetchall()
@@ -556,8 +557,9 @@ def _get_relevant_events(
         # any collision with an e.* column named template_id
         all_events = [
             {**dict(r), "template_id": r["cea_template_id"],
-             "prediction_json": r["cea_prediction_json"],
-             "actual_json":     r["cea_actual_json"]}
+             "prediction_json":  r["cea_prediction_json"],
+             "actual_json":      r["cea_actual_json"],
+             "activation_score": r["cea_activation_score"]}
             for r in rows
         ]
     except Exception as e:
@@ -626,6 +628,7 @@ def _get_relevant_events(
                 "absorption_pct": ev.get("absorption_pct"),
                 "prediction_json": ev.get("prediction_json") or None,
                 "actual_json": ev.get("actual_json") or None,
+                "activation_score": ev.get("activation_score"),
             })
 
     # Sort by start_date asc for timeline display, cap at 30
diff --git a/frontend/src/pages/InstrumentDashboard.tsx b/frontend/src/pages/InstrumentDashboard.tsx
index 1e78f62..49764c2 100644
--- a/frontend/src/pages/InstrumentDashboard.tsx
+++ b/frontend/src/pages/InstrumentDashboard.tsx
@@ -42,8 +42,9 @@ interface SnapshotEvent {
   category: string; sub_type?: string; description: string; impact_score: number
   expected_value?: string | null; actual_value?: string | null
   surprise_pct?: number | null; unit?: string | null; absorption_pct?: number | null
-  prediction_json?: string | null  // JSON: {node_id: pips} from causal_event_analyses
-  actual_json?: string | null      // JSON: {instrument: pips} from causal_event_analyses
+  prediction_json?: string | null   // JSON: {node_id: pips} from causal_event_analyses
+  actual_json?: string | null       // JSON: {instrument: pips} from causal_event_analyses
+  activation_score?: number | null  // stored directional accuracy from causal_event_analyses
 }
 
 interface RegimeSignals {
@@ -704,6 +705,9 @@ function templateAbsorptionDays(tmpl: CausalTemplate): number {
 
 /** Score 0-100 measuring how well the graph predicted actual pips for an instrument. */
 function comprehensionScore(ev: SnapshotEvent, tmpl: CausalTemplate, instrument: string): number | null {
+  // Prefer the stored activation_score from causal_event_analyses (consistent with MarketEvents panel)
+  if (ev.activation_score != null) return Math.round(ev.activation_score * 100)
+
   if (!ev.prediction_json || !ev.actual_json) return null
   try {
     const preds:   Record<string, number> = JSON.parse(ev.prediction_json)
@@ -711,7 +715,6 @@ function comprehensionScore(ev: SnapshotEvent, tmpl: CausalTemplate, instrument:
     const actual = actuals[instrument] ?? actuals[instrument.toUpperCase()] ?? actuals[instrument.toLowerCase()]
     if (actual == null) return null
 
-    // Find the output node for this instrument (built-in templates use "output", auto-generated use "market_asset")
     const outputNode = tmpl.graph_json.nodes.find(n =>
       (n.type === 'market_asset' || n.type === 'output') && n.instrument?.toUpperCase() === instrument.toUpperCase()
     )