updated status intervals

adaptive_bot.py

@@ -657,6 +657,7 @@ class AdaptiveHyperliquidBot:
         self._http_server: Optional[ThreadingHTTPServer] = None
         self._entry_features: Dict[Tuple[str, int], List[float]] = {}
         self._last_ml_report_ts: float = 0.0
+        self._last_stats_log_ts: float = 0.0
         self._advisor_stats: Dict[str, int] = {
             "requests": 0,
             "errors": 0,
@@ -1419,15 +1420,18 @@ class AdaptiveHyperliquidBot:
                 self.learning.save()
                 self.write_report()
 
+                now_ts = time.time()
                 m = self.learning.global_metrics()
-                logger.info(
-                    "Stats trades=%d win_rate=%.2f%% pf=%.2f paper_equity=%.2f profitable_gate=%s",
-                    int(m["trades"]),
-                    m["win_rate"] * 100.0,
-                    m["profit_factor"],
-                    self.paper.equity,
-                    self.learning.consistently_profitable(),
-                )
+                if now_ts - self._last_stats_log_ts >= 300:
+                    logger.info(
+                        "Stats trades=%d win_rate=%.2f%% pf=%.2f paper_equity=%.2f profitable_gate=%s",
+                        int(m["trades"]),
+                        m["win_rate"] * 100.0,
+                        m["profit_factor"],
+                        self.paper.equity,
+                        self.learning.consistently_profitable(),
+                    )
+                    self._last_stats_log_ts = now_ts
                 self._maybe_notify_live_readiness()
                 self._maybe_prepare_live()
                 self._maybe_send_daily_summary()