Add fleet stats table with funds, fees, loss streak, and totals.

Co-authored-by: Cursor <cursoragent@cursor.com>

backend/app/api/stats.py

@@ -12,6 +12,17 @@ from .auth import require_user
 router = APIRouter(prefix="/api/stats", tags=["stats"])
 
 
+def _current_loss_streak(curve: list[dict[str, Any]]) -> int:
+    """从最近已平仓组往前数连续亏损次数。"""
+    streak = 0
+    for item in reversed(curve):
+        if float(item.get("realized_pnl") or 0) < 0:
+            streak += 1
+        else:
+            break
+    return streak
+
+
 def build_stats_summary(db: Any | None = None) -> dict[str, Any]:
     """已平仓组汇总（策略页统计 / 中控 Fleet 共用）。"""
     database = db or get_db()
@@ -21,6 +32,10 @@ def build_stats_summary(db: Any | None = None) -> dict[str, Any]:
     n = len(rows)
     wins = sum(1 for r in rows if float(r["realized_pnl"] or 0) > 0)
     total_pnl = sum(float(r["realized_pnl"] or 0) for r in rows)
+    pnls = [float(r["realized_pnl"] or 0) for r in rows]
+    max_single_loss = min(pnls) if pnls else 0.0
+    if max_single_loss > 0:
+        max_single_loss = 0.0
 
     fees_perp = 0.0
     fees_option = 0.0
@@ -51,6 +66,19 @@ def build_stats_summary(db: Any | None = None) -> dict[str, Any]:
         }
         for r in sorted(rows, key=lambda x: int(x["close_at_ms"] or 0))
     ]
+    latest_funds = 0.0
+    try:
+        from ..sim.funds_wallets import FundsWallets
+
+        latest_funds = float(FundsWallets(database).total_usdt_equiv())
+    except Exception:
+        try:
+            from ..sim.ledger import Ledger
+
+            latest_funds = float(Ledger(database).snapshot().get("equity") or 0)
+        except Exception:
+            latest_funds = 0.0
+
     return {
         "mode": mode,
         "show_slip": mode == "SIM",
@@ -64,6 +92,9 @@ def build_stats_summary(db: Any | None = None) -> dict[str, Any]:
         "total_slip": total_slip if mode == "SIM" else 0.0,
         "close_reasons": reasons,
         "equity_curve": curve,
+        "latest_funds": latest_funds,
+        "max_single_loss": max_single_loss,
+        "loss_streak": _current_loss_streak(curve),
     }