Close stale paper positions outside trend universe

crypto_spot_bot/bot.py

@@ -7,7 +7,7 @@ from crypto_spot_bot.config import Settings
 from crypto_spot_bot.execution import LiveBroker, PaperBroker
 from crypto_spot_bot.learning import TradeLearner
 from crypto_spot_bot.market_data import MarketData
-from crypto_spot_bot.models import BotStatus, Signal, utc_now
+from crypto_spot_bot.models import BotStatus, Signal, Ticker, utc_now
 from crypto_spot_bot.patterns import PatternAnalyzer
 from crypto_spot_bot.strategy import SpotStrategy
 from crypto_spot_bot.storage import Storage
@@ -50,6 +50,7 @@ class CryptoSpotBot:
         self.market.reset_stop()
         if not self.market.symbols:
             await self.market.bootstrap()
+        self._close_paper_positions_outside_symbol_universe()
         self._update_patterns()
         self._update_forecasts()
         self.learner.refresh()
@@ -198,6 +199,31 @@ class CryptoSpotBot:
         enriched["over_target_exposure"] = current_exposure > target_total + self.settings.min_position_usdt
         return enriched
 
+    def _close_paper_positions_outside_symbol_universe(self) -> None:
+        if self.settings.strategy_mode != "trend_macd" or self.settings.trading_mode != "paper":
+            return
+        allowed_symbols = set(self.market.symbols or self.settings.symbols)
+        for position in list(self.broker.open_positions()):
+            if position.symbol in allowed_symbols:
+                continue
+            synthetic_ticker = Ticker(
+                symbol=position.symbol,
+                last_price=position.entry_price,
+                bid=position.entry_price,
+                ask=position.entry_price,
+                turnover_24h=0.0,
+                volume_24h=0.0,
+                change_24h=0.0,
+            )
+            self.broker.sell(
+                position,
+                synthetic_ticker,
+                "trend_macd: закрыта старая paper-позиция вне списка разрешенных пар",
+            )
+            self.storage.event(
+                f"{position.symbol}: старая paper-позиция закрыта при переходе на trend_macd"
+            )
+
     def _reduction_candidate_id(self, prices: dict[str, float]) -> int | None:
         rules = self._with_exposure_context(self.learner.state.adaptive_rules or {})
         if not rules.get("reduce_exposure") or not rules.get("over_target_exposure"):