diff --git a/crypto_spot_bot/__init__.py b/crypto_spot_bot/__init__.py
index f875867..8e935c3 100644
--- a/crypto_spot_bot/__init__.py
+++ b/crypto_spot_bot/__init__.py
@@ -1,3 +1,3 @@
 """Crypto spot trading bot package."""
 
-__version__ = "1.0.2"
+__version__ = "1.0.3"
diff --git a/crypto_spot_bot/strategy.py b/crypto_spot_bot/strategy.py
index 1419ed7..2316321 100644
--- a/crypto_spot_bot/strategy.py
+++ b/crypto_spot_bot/strategy.py
@@ -371,6 +371,7 @@ class SpotStrategy:
         latest = candles[-1]
         previous = candles[-2] if len(candles) >= 2 else latest
         price = ticker.last_price
+        adaptive = _adaptive_rules(learning or {})
         trailing = position.trailing_stop(self.settings.trailing_stop_percent)
         diagnostics = {
             "price": price,
@@ -383,6 +384,7 @@ class SpotStrategy:
             "rsi_14": latest.rsi_14,
             "ema_20": latest.ema_20,
             "ema_50": latest.ema_50,
+            "adaptive_rules": adaptive,
         }
         if self.settings.stop_loss_exit_enabled and price <= position.stop_loss:
             return Signal(position.symbol, "SELL", 1.0, "сработал стоп-лосс", diagnostics)
diff --git a/tests/test_strategy.py b/tests/test_strategy.py
index 76d1e68..e3e5934 100644
--- a/tests/test_strategy.py
+++ b/tests/test_strategy.py
@@ -719,6 +719,42 @@ def test_torch_forecast_uses_legacy_exit_for_paper_fallback_position(make_settin
     assert signal.diagnostics["entry_path"] == "legacy_fallback"
 
 
+def test_torch_forecast_legacy_fallback_can_hold_after_minimum_time(make_settings, tmp_path) -> None:
+    settings = make_settings(
+        tmp_path,
+        strategy_mode="torch_forecast",
+        time_series_trend_fallback_enabled=True,
+        time_series_fallback_mode="legacy",
+    )
+    strategy = SpotStrategy(settings)
+    position = Position(
+        1,
+        "BTCUSDT",
+        1,
+        100,
+        100,
+        0.1,
+        90,
+        120,
+        101,
+        opened_at=utc_now() - timedelta(seconds=600),
+        entry_diagnostics={"entry_path": "legacy_fallback"},
+    )
+    ticker = Ticker("BTCUSDT", 101, 100.99, 101.01, 10_000_000, 1000, 1.0)
+
+    signal = strategy.exit_signal(
+        position,
+        _ready_candles(),
+        ticker,
+        learning={"adaptive_rules": {}},
+        forecast={},
+    )
+
+    assert signal.action == "HOLD"
+    assert signal.diagnostics["trade_mode"] == "LEGACY_FALLBACK"
+    assert signal.diagnostics["adaptive_rules"] == {}
+
+
 def test_torch_forecast_allows_explicit_manual_quality_override(make_settings, tmp_path) -> None:
     settings = make_settings(
         tmp_path,