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

tests/unit/data/test_indicators.py

@@ -0,0 +1,68 @@
+"""Tests for technical indicators."""
+
+import pytest
+import pandas as pd
+import numpy as np
+from src.data.indicators import get_indicators, TechnicalIndicators
+
+
+class TestTechnicalIndicators:
+    """Tests for TechnicalIndicators."""
+    
+    @pytest.fixture
+    def indicators(self):
+        """Create indicators instance."""
+        return get_indicators()
+    
+    @pytest.fixture
+    def sample_data(self):
+        """Create sample price data."""
+        dates = pd.date_range(start='2025-01-01', periods=100, freq='1H')
+        return pd.DataFrame({
+            'close': [100 + i * 0.1 + np.random.randn() * 0.5 for i in range(100)],
+            'high': [101 + i * 0.1 for i in range(100)],
+            'low': [99 + i * 0.1 for i in range(100)],
+            'open': [100 + i * 0.1 for i in range(100)],
+            'volume': [1000.0] * 100
+        })
+    
+    def test_sma(self, indicators, sample_data):
+        """Test Simple Moving Average."""
+        sma = indicators.sma(sample_data['close'], period=20)
+        assert len(sma) == len(sample_data)
+        assert not sma.isna().all()  # Should have some valid values
+    
+    def test_ema(self, indicators, sample_data):
+        """Test Exponential Moving Average."""
+        ema = indicators.ema(sample_data['close'], period=20)
+        assert len(ema) == len(sample_data)
+    
+    def test_rsi(self, indicators, sample_data):
+        """Test Relative Strength Index."""
+        rsi = indicators.rsi(sample_data['close'], period=14)
+        assert len(rsi) == len(sample_data)
+        # RSI should be between 0 and 100
+        valid_rsi = rsi.dropna()
+        if len(valid_rsi) > 0:
+            assert (valid_rsi >= 0).all()
+            assert (valid_rsi <= 100).all()
+    
+    def test_macd(self, indicators, sample_data):
+        """Test MACD."""
+        macd_result = indicators.macd(sample_data['close'], fast=12, slow=26, signal=9)
+        assert 'macd' in macd_result
+        assert 'signal' in macd_result
+        assert 'histogram' in macd_result
+    
+    def test_bollinger_bands(self, indicators, sample_data):
+        """Test Bollinger Bands."""
+        bb = indicators.bollinger_bands(sample_data['close'], period=20, std_dev=2)
+        assert 'upper' in bb
+        assert 'middle' in bb
+        assert 'lower' in bb
+        # Upper should be above middle, middle above lower
+        valid_data = bb.dropna()
+        if len(valid_data) > 0:
+            assert (valid_data['upper'] >= valid_data['middle']).all()
+            assert (valid_data['middle'] >= valid_data['lower']).all()
+