feat(dashboard): mostra i disaster-SL attivi nella sezione LIVE

Lo shadow espone i bracket disaster-SL aperti (open_orders filtrati per label DISASTER_LABEL,
centralizzata in deribit.py): asset, stop price, size. La sezione LIVE li mostra
("disaster-SL attivi (-30%): ..." o "nessuno (flat)"). Test 28/28.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

src/live/shadow.py

@@ -11,7 +11,7 @@ import numpy as np
 import pandas as pd
 
 from src.backtest.harness import load
-from src.live.deribit import INSTRUMENT, DeribitRead, build_rebalance_order
+from src.live.deribit import DISASTER_LABEL, INSTRUMENT, DeribitRead, build_rebalance_order
 from src.strategies.trend_portfolio import CANONICAL, TrendPortfolio, resample_1d
 
 PROJECT_ROOT = Path(__file__).resolve().parents[2]
@@ -155,11 +155,25 @@ def shadow_report(offline: bool = False, equity_override: float | None = None) -
         live_trades.sort(key=lambda r: r["ts"], reverse=True)
         live_trades = live_trades[:12]
 
+    disaster_sls = []
+    if client is not None:
+        for a in ASSETS:
+            try:
+                for o in client.open_orders(INSTRUMENT[a]):
+                    if (o.get("label") or "") == DISASTER_LABEL:
+                        disaster_sls.append(dict(
+                            asset=a, instrument=INSTRUMENT[a],
+                            amount=float(o.get("amount") or 0),
+                            stop=float(o.get("trigger_price") or o.get("stop_price") or o.get("price") or 0)))
+            except Exception:
+                pass
+
     return dict(
         last_data=str(pd.Timestamp(last_ts, unit="ms", tz="UTC").date()),
         online=(client is not None and marks_src.get("BTC") == "mainnet"),
         real_equity=real_eq, equity=equity, eq_basis=eq_basis,
         pos_src=pos_src, assets=assets, orders=orders, live_trades=live_trades,
+        disaster_sls=disaster_sls,
         flat=all(abs(targets[a]) < 1e-9 for a in ASSETS),
         paper_aligned=(paper_ts == last_ts),
     )