fix: keep paper trading active without approved model

tests/test_config.py

@@ -171,3 +171,12 @@ def test_load_settings_rejects_inconsistent_exposure_limits(tmp_path, monkeypatc
 
     with pytest.raises(ValueError, match="MAX_SYMBOL_EXPOSURE_USDT"):
         load_settings(env_file)
+
+
+def test_load_settings_rejects_unknown_fallback_mode(tmp_path, monkeypatch) -> None:
+    monkeypatch.delenv("TIME_SERIES_FALLBACK_MODE", raising=False)
+    env_file = tmp_path / ".env"
+    env_file.write_text("TIME_SERIES_FALLBACK_MODE=force-trades\n", encoding="utf-8")
+
+    with pytest.raises(ValueError, match="TIME_SERIES_FALLBACK_MODE"):
+        load_settings(env_file)

tests/test_dashboard.py

@@ -45,6 +45,7 @@ def test_safe_config_summarizes_torch_forecast_artifact(make_settings, tmp_path)
     assert config["time_series_probe_min_probability_up"] == 0.55
     assert config["time_series_probe_size_multiplier"] == 0.40
     assert config["time_series_rebound_fallback_enabled"] is True
+    assert config["time_series_fallback_mode"] == "trend_macd"
     assert config["time_series_model_artifact"] == {
         "available": True,
         "type": "pytorch_recurrent_forecaster",

tests/test_strategy.py

@@ -631,6 +631,94 @@ def test_torch_forecast_uses_trend_exit_for_fallback_position(make_settings, tmp
     assert "MACD" in signal.reason
 
 
+def test_torch_forecast_uses_legacy_fallback_in_paper_mode(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",
+        time_series_require_quality_gate=True,
+        time_series_require_fresh_model=True,
+        grid_trading_enabled=False,
+        rebound_trading_enabled=False,
+        kelly_sizing_enabled=False,
+    )
+    strategy = SpotStrategy(settings)
+    ticker = Ticker("BTCUSDT", 101, 100.99, 101.01, 10_000_000, 1000, 1.0)
+
+    signal = strategy.entry_signal(
+        "BTCUSDT",
+        _ready_candles(),
+        ticker,
+        open_positions_for_symbol=0,
+        forecast={"usable": False, "model": "none", "quality_gate_passed": False},
+        account={"equity": 100.0, "cash": 100.0, "exposure": 0.0},
+    )
+
+    assert signal.action == "BUY"
+    assert signal.diagnostics["trade_mode"] == "LEGACY_FALLBACK"
+    assert signal.diagnostics["entry_path"] == "legacy_fallback"
+    assert signal.diagnostics["forecast_fallback_active"] is True
+
+
+def test_torch_forecast_forces_trend_fallback_in_live_mode(make_settings, tmp_path) -> None:
+    settings = make_settings(
+        tmp_path,
+        trading_mode="live",
+        strategy_mode="torch_forecast",
+        time_series_trend_fallback_enabled=True,
+        time_series_fallback_mode="legacy",
+        time_series_require_quality_gate=True,
+        time_series_require_fresh_model=True,
+        max_position_usdt=50,
+    )
+    strategy = SpotStrategy(settings)
+    ticker = Ticker("BTCUSDT", 105, 104.99, 105.01, 10_000_000, 1000, 1.0)
+
+    signal = strategy.entry_signal(
+        "BTCUSDT",
+        _trend_entry_candles(),
+        ticker,
+        open_positions_for_symbol=0,
+        forecast={"usable": False, "model": "none", "quality_gate_passed": False},
+        account={"equity": 100.0},
+        trend_candles=_daily_trend_candles(),
+    )
+
+    assert signal.action == "BUY"
+    assert signal.diagnostics["trade_mode"] == "TREND_MACD_FALLBACK"
+    assert signal.diagnostics["entry_path"] == "trend_macd_fallback"
+
+
+def test_torch_forecast_uses_legacy_exit_for_paper_fallback_position(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,
+        96,
+        103.5,
+        100,
+        entry_diagnostics={"entry_path": "legacy_fallback"},
+    )
+    ticker = Ticker("BTCUSDT", 104, 103.99, 104.01, 10_000_000, 1000, 1.0)
+
+    signal = strategy.exit_signal(position, _ready_candles(), ticker, forecast={})
+
+    assert signal.action == "SELL"
+    assert signal.diagnostics["trade_mode"] == "LEGACY_FALLBACK"
+    assert signal.diagnostics["entry_path"] == "legacy_fallback"
+
+
 def test_torch_forecast_allows_explicit_manual_quality_override(make_settings, tmp_path) -> None:
     settings = make_settings(
         tmp_path,