Train Torch model for 12 spot pairs

tests/test_config.py

@@ -84,7 +84,7 @@ def test_default_symbols_are_fixed_trend_pairs(tmp_path, monkeypatch) -> None:
     assert settings.time_series_forecast_enabled is True
 
 
-def test_torch_forecast_forces_fixed_symbols(tmp_path, monkeypatch) -> None:
+def test_torch_forecast_keeps_configured_symbol_selection(tmp_path, monkeypatch) -> None:
     for key in (
         "AUTO_SELECT_SYMBOLS",
         "TOP_SYMBOLS_COUNT",
@@ -110,7 +110,32 @@ def test_torch_forecast_forces_fixed_symbols(tmp_path, monkeypatch) -> None:
 
     settings = load_settings(env_file)
 
-    assert settings.auto_select_symbols is False
-    assert settings.top_symbols_count == len(FIXED_SPOT_SYMBOLS)
-    assert settings.symbols == FIXED_SPOT_SYMBOLS
+    assert settings.auto_select_symbols is True
+    assert settings.top_symbols_count == 9
+    assert settings.symbols == ("DOGEUSDT", "XRPUSDT")
     assert settings.time_series_forecast_enabled is True
+
+
+def test_auto_select_uses_empty_symbol_list(tmp_path, monkeypatch) -> None:
+    for key in ("AUTO_SELECT_SYMBOLS", "TOP_SYMBOLS_COUNT", "SYMBOLS", "STRATEGY_MODE"):
+        monkeypatch.delenv(key, raising=False)
+    monkeypatch.setenv("TRADING_MODE", "paper")
+    env_file = tmp_path / ".env"
+    env_file.write_text(
+        "\n".join(
+            [
+                "TRADING_MODE=paper",
+                "STRATEGY_MODE=torch_forecast",
+                "AUTO_SELECT_SYMBOLS=true",
+                "TOP_SYMBOLS_COUNT=12",
+                "SYMBOLS=",
+            ]
+        ),
+        encoding="utf-8",
+    )
+
+    settings = load_settings(env_file)
+
+    assert settings.auto_select_symbols is True
+    assert settings.top_symbols_count == 12
+    assert settings.symbols == ()