Use Kelly allocation for Torch position scaling

tests/test_execution.py

@@ -60,7 +60,7 @@ def test_paper_broker_uses_signal_notional_and_pair_exposure(make_settings, tmp_
         max_symbol_exposure_usdt=6,
         max_total_exposure_usdt=50,
         max_open_positions=20,
-        max_positions_per_symbol=1,
+        max_positions_per_symbol=6,
         max_entries_per_minute=0,
     )
     storage = Storage(settings.database_path)
@@ -218,6 +218,33 @@ def test_torch_forecast_broker_allows_dynamic_entries_until_total_limit(make_set
     assert len(broker.open_positions()) == 3
 
 
+def test_torch_forecast_broker_respects_configured_symbol_position_limit(make_settings, tmp_path) -> None:
+    settings = make_settings(
+        tmp_path,
+        strategy_mode="torch_forecast",
+        min_position_usdt=1,
+        max_position_usdt=20,
+        max_symbol_exposure_usdt=20,
+        max_total_exposure_usdt=80,
+        max_open_positions=20,
+        max_positions_per_symbol=2,
+        max_entries_per_minute=0,
+    )
+    storage = Storage(settings.database_path)
+    broker = PaperBroker(settings, storage)
+    ticker = Ticker("BTCUSDT", 100, 99.9, 100.1, 10_000_000, 100, 0)
+    instrument = Instrument("BTCUSDT", "BTC", "USDT", "Trading", 0.01, 0.000001, 0.000001, 1)
+
+    first = broker.buy(Signal("BTCUSDT", "BUY", 0.8, "first", {"position_notional_usdt": 2}), ticker, instrument, {"BTCUSDT": 100})
+    second = broker.buy(Signal("BTCUSDT", "BUY", 0.8, "second", {"position_notional_usdt": 2}), ticker, instrument, {"BTCUSDT": 100})
+    third = broker.buy(Signal("BTCUSDT", "BUY", 0.8, "third", {"position_notional_usdt": 2}), ticker, instrument, {"BTCUSDT": 100})
+
+    assert first is not None
+    assert second is not None
+    assert third is None
+    assert len(broker.open_positions()) == 2
+
+
 def test_trend_macd_closes_old_paper_positions_outside_symbol_universe(make_settings, tmp_path) -> None:
     settings = make_settings(
         tmp_path,