Local changes: Updated model training, removed debug instrumentation, and configuration improvements

tests/unit/strategies/test_moving_avg_strategy.py

@@ -0,0 +1,45 @@
+"""Tests for Moving Average strategy."""
+
+import pytest
+import pandas as pd
+from src.strategies.technical.moving_avg_strategy import MovingAverageStrategy
+
+
+class TestMovingAverageStrategy:
+    """Tests for MovingAverageStrategy."""
+    
+    @pytest.fixture
+    def strategy(self):
+        """Create Moving Average strategy instance."""
+        return MovingAverageStrategy(
+            strategy_id=1,
+            name="test_ma",
+            symbol="BTC/USD",
+            timeframe="1h",
+            parameters={
+                "short_period": 10,
+                "long_period": 30,
+                "ma_type": "SMA"
+            }
+        )
+    
+    @pytest.mark.asyncio
+    async def test_ma_strategy_initialization(self, strategy):
+        """Test Moving Average strategy initialization."""
+        assert strategy.short_period == 10
+        assert strategy.long_period == 30
+        assert strategy.ma_type == "SMA"
+    
+    @pytest.mark.asyncio
+    async def test_generate_signal(self, strategy):
+        """Test signal generation."""
+        # Create data with trend
+        data = pd.DataFrame({
+            'close': [100 + i * 0.5 for i in range(50)]
+        })
+        strategy.current_data = data
+        
+        signal = await strategy.generate_signal()
+        assert "signal" in signal
+        assert signal["signal"] in ["buy", "sell", "hold"]
+