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

tests/unit/strategies/test_rsi_strategy.py

@@ -0,0 +1,67 @@
+"""Tests for RSI strategy."""
+
+import pytest
+import pandas as pd
+from src.strategies.technical.rsi_strategy import RSIStrategy
+
+
+class TestRSIStrategy:
+    """Tests for RSIStrategy."""
+    
+    @pytest.fixture
+    def strategy(self):
+        """Create RSI strategy instance."""
+        return RSIStrategy(
+            strategy_id=1,
+            name="test_rsi",
+            symbol="BTC/USD",
+            timeframe="1h",
+            parameters={
+                "rsi_period": 14,
+                "overbought": 70,
+                "oversold": 30
+            }
+        )
+    
+    @pytest.fixture
+    def sample_data(self):
+        """Create sample price data."""
+        dates = pd.date_range(start='2025-01-01', periods=50, freq='1H')
+        # Create data with clear trend for RSI calculation
+        prices = [100 - i * 0.5 for i in range(50)]  # Downward trend
+        return pd.DataFrame({
+            'timestamp': dates,
+            'open': prices,
+            'high': [p + 1 for p in prices],
+            'low': [p - 1 for p in prices],
+            'close': prices,
+            'volume': [1000.0] * 50
+        })
+    
+    @pytest.mark.asyncio
+    async def test_rsi_strategy_initialization(self, strategy):
+        """Test RSI strategy initialization."""
+        assert strategy.rsi_period == 14
+        assert strategy.overbought == 70
+        assert strategy.oversold == 30
+    
+    @pytest.mark.asyncio
+    async def test_on_data(self, strategy, sample_data):
+        """Test on_data method."""
+        await strategy.on_data(sample_data)
+        assert len(strategy.current_data) > 0
+    
+    @pytest.mark.asyncio
+    async def test_generate_signal_oversold(self, strategy, sample_data):
+        """Test signal generation for oversold condition."""
+        await strategy.on_data(sample_data)
+        # Calculate RSI - should be low for downward trend
+        from src.data.indicators import get_indicators
+        indicators = get_indicators()
+        rsi = indicators.rsi(strategy.current_data['close'], period=14)
+        
+        # If RSI is low, should generate buy signal
+        signal = await strategy.generate_signal()
+        assert "signal" in signal
+        assert signal["signal"] in ["buy", "sell", "hold"]
+