feat: instrument analysis

backend/routers/causal_lab.py

@@ -1176,7 +1176,7 @@ def list_analyses(
 
         rows = conn.execute(f"""
             SELECT a.*, e.name as event_name, e.category, e.start_date,
-                   t.name as template_name
+                   t.name as template_name, t.graph_json as template_graph_json
             FROM causal_event_analyses a
             LEFT JOIN market_events e ON e.id = a.market_event_id
             LEFT JOIN causal_graph_templates t ON t.id = a.template_id
@@ -1194,6 +1194,10 @@ def list_analyses(
                     d[f] = json.loads(d[f] or "{}")
                 except Exception:
                     d[f] = {}
+            try:
+                d["graph_json"] = json.loads(d.get("template_graph_json") or "{}")
+            except Exception:
+                d["graph_json"] = {}
             result.append(d)
         return result
 

backend/services/instrument_service.py

@@ -5,6 +5,7 @@ regime detection, trend summary, event filtering, and AI narrative.
 """
 import json
 import os
+import re
 import logging
 import numpy as np
 import pandas as pd
@@ -12,6 +13,11 @@ from pathlib import Path
 from typing import Dict, Any, List, Optional, Tuple
 from datetime import datetime, date
 
+
+def _base_ticker(t: str) -> str:
+    """Normalize Yahoo Finance tickers for comparison: EURUSD=X → EURUSD, BZ=F → BZ, ^GSPC → GSPC."""
+    return re.sub(r'(=X|=F|=RR|-USD|\^)$', '', t.strip().upper())
+
 logger = logging.getLogger(__name__)
 
 # ── Config loading ─────────────────────────────────────────────────────────────
@@ -586,8 +592,10 @@ def _get_relevant_events(
         asset_hit   = any(ra in ev_assets for ra in related)
 
         # Always include events that have a causal analysis for this instrument
+        # Normalize tickers: strip Yahoo Finance suffixes (=X, =F, ^, -USD, =RR) for comparison
         analyzed = ev.get("analyzed_instruments") or ""
-        analysis_hit = inst_upper and inst_upper in [i.strip().upper() for i in analyzed.split(",") if i.strip()]
+        analyzed_bases = [_base_ticker(s) for s in analyzed.split(",") if s.strip()]
+        analysis_hit = bool(inst_upper and _base_ticker(inst_upper) in analyzed_bases)
 
         if keyword_hit or asset_hit or analysis_hit:
             filtered.append({

frontend/src/pages/MarketEvents.tsx

@@ -60,6 +60,8 @@ interface CausalAnalysis {
   activation_score: number | null
   analyzed_at: string
   prediction_json: Record<string, number>
+  actual_json: Record<string, number>
+  graph_json?: { nodes: GraphNode[]; edges: GraphEdge[] }
 }
 
 interface TemplateRef {
@@ -410,9 +412,18 @@ function EventDetail({
     if (r.ok) {
       const data: CausalAnalysis[] = await r.json()
       setAnalyses(data)
-      // Pre-select the most recent analysis's template so the form isn't blank on re-open
+      if (data.length > 0) {
-      if (data.length > 0 && data[0].template_id) {
+        const latest = data[0]
-        setSelTmpl(data[0].template_id)
+        if (latest.template_id) setSelTmpl(latest.template_id)
+        // Reconstruct graph state from stored analysis so it's always visible on reopen
+        setAnResult({
+          score: latest.activation_score,
+          preds: latest.prediction_json || {},
+          actuals: latest.actual_json || {},
+        })
+        if (latest.graph_json?.nodes?.length) {
+          setGraphData(latest.graph_json as GraphData)
+        }
       }
     }
   }, [event.id])