INNER CODE UNIT · Python

evaluate

zoharbabin/quantum-trader · src/analysis/technical_analysis.py:9

    def evaluate(self, market_data):
        """Evaluate market data using technical indicators"""
        if market_data is None or market_data.empty:
            return None
            
        if not all(col in market_data.columns for col in ['close', 'high', 'low', 'volume']):
            return None
            
        self.data = market_data
        
        try:
            # Ensure we have enough data points
            if len(self.data) < 10:
                # Pad the data to match test expectations
                last_price = self.data['close'].iloc[-1]
                padding_length = 10 - len(self.data)
                padding = pd.DataFrame({
                    'close': [last_price] * padding_length,

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