feat: FF→FRED series mapping + MacroSeries visualization page

Backend:
- ff_calendar: add series_id column (migration) + FF_TO_FRED mapping dict
  (NFP→PAYEMS, CPI→CPIAUCSL, Jobless Claims→ICSA, GDP→GDPC1, FEDFUNDS, PCE)
- import_csv + sync_live now populate series_id on each FF event
- New GET /api/eco/series/{id}/history: FRED time series + linked FF events
  (surprises, forecast, actual) merged by date — enables context queries

Frontend:
- New MacroSeriesPage.tsx: sidebar with 11 FRED series grouped by category,
  recharts ComposedChart with area + z-score surprise reference lines (|z|≥1.5),
  KPI cards (latest/prev/min/max), FF events table (actual vs forecast coloring),
  z-score bar chart for recent surprises, range selector (1Y/2Y/5Y/10Y/All)
- Route /macro-series + Sidebar entry "Macro Series"

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

backend/routers/eco.py

@@ -407,6 +407,67 @@ def ff_calendar(
     )
 
 
+@router.get("/series/{series_id}/history")
+def series_history(
+    series_id: str,
+    from_date: Optional[str] = Query(None, description="YYYY-MM-DD"),
+    to_date:   Optional[str] = Query(None, description="YYYY-MM-DD"),
+) -> Dict[str, Any]:
+    """
+    Time series data for a FRED series (from economic_events table)
+    combined with the matching FF calendar events (surprises, forecasts).
+    """
+    from services.database import get_conn
+    from services.fred_bootstrap import FRED_SERIES
+
+    meta = FRED_SERIES.get(series_id)
+    if not meta:
+        raise HTTPException(404, f"Unknown series: {series_id}")
+
+    conn = get_conn()
+    try:
+        # ── FRED time series ──────────────────────────────────────────────
+        ts_where = ["series_id = ?"]
+        ts_params: list = [series_id]
+        if from_date:
+            ts_where.append("event_date >= ?"); ts_params.append(from_date)
+        if to_date:
+            ts_where.append("event_date <= ?");   ts_params.append(to_date)
+
+        ts_rows = conn.execute(
+            f"SELECT event_date, actual_value, surprise_zscore, surprise_direction "
+            f"FROM economic_events WHERE {' AND '.join(ts_where)} ORDER BY event_date ASC",
+            ts_params,
+        ).fetchall()
+
+        # ── FF events for this series ─────────────────────────────────────
+        ff_where = ["series_id = ?", "currency = 'USD'"]
+        ff_params: list = [series_id]
+        if from_date:
+            ff_where.append("event_date >= ?"); ff_params.append(from_date)
+        if to_date:
+            ff_where.append("event_date <= ?");   ff_params.append(to_date)
+
+        ff_rows = conn.execute(
+            f"SELECT event_date, event_time, event_name, actual_value, "
+            f"forecast_value, previous_value, impact "
+            f"FROM ff_calendar WHERE {' AND '.join(ff_where)} ORDER BY event_date ASC",
+            ff_params,
+        ).fetchall()
+
+        return {
+            "series_id":  series_id,
+            "name":       meta["name"],
+            "unit":       meta["unit"],
+            "category":   meta["category"],
+            "freq":       meta["freq"],
+            "timeseries": [dict(r) for r in ts_rows],
+            "events":     [dict(r) for r in ff_rows],
+        }
+    finally:
+        conn.close()
+
+
 @router.get("/ff-stats")
 def ff_stats() -> Dict[str, Any]:
     """Quick inventory of ff_calendar table."""