feat: instrument analysis

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({