Add win rate and profit-loss ratio to archive stats.

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

hub_symbol_archive_lib.py

@@ -1275,14 +1275,23 @@ def _empty_pnl_bucket() -> dict[str, Any]:
 def _finalize_pnl_bucket(bucket: dict[str, Any]) -> None:
     wins = bucket.pop("_wins", [])
     losses = bucket.pop("_losses", [])
-    bucket["win_count"] = len(wins)
+    open_count = int(bucket.get("open_count") or 0)
+    win_count = len(wins)
+    bucket["win_count"] = win_count
     bucket["loss_count"] = len(losses)
     bucket["avg_win"] = round(sum(wins) / len(wins), 4) if wins else None
-    bucket["avg_loss"] = round(sum(losses) / len(losses), 4) if losses else None
+    avg_loss = round(sum(losses) / len(losses), 4) if losses else None
+    bucket["avg_loss"] = avg_loss
     bucket["max_win"] = round(max(wins), 4) if wins else None
     bucket["max_loss"] = round(min(losses), 4) if losses else None
     bucket["pnl_total"] = round(float(bucket.get("pnl_total") or 0), 4)
     bucket["pnl_ex_sick"] = round(float(bucket.get("pnl_ex_sick") or 0), 4)
+    bucket["win_rate"] = round(win_count / open_count * 100, 1) if open_count else None
+    avg_win = bucket["avg_win"]
+    if avg_win is not None and avg_loss is not None and avg_loss != 0:
+        bucket["profit_loss_ratio"] = round(avg_win / abs(avg_loss), 2)
+    else:
+        bucket["profit_loss_ratio"] = None
 
 
 def _accumulate_trade_stat(bucket: dict[str, Any], *, pnl: float, is_sick: bool) -> None:
@@ -1329,6 +1338,8 @@ def _compute_period_stats(trade_rows: list[dict[str, Any]]) -> dict[str, Any]:
         "avg_loss": total_bucket["avg_loss"],
         "max_win": total_bucket["max_win"],
         "max_loss": total_bucket["max_loss"],
+        "win_rate": total_bucket["win_rate"],
+        "profit_loss_ratio": total_bucket["profit_loss_ratio"],
         "by_exchange": by_ex,
     }