Deepvest/ProfilingAI

1from dataclasses import dataclass, field2from typing import Tuple, Dict3 4@dataclass5class TechnicalIndicators:6    """Container for technical indicators"""7    rsi: float = 50.08    macd: Tuple[float, float] = (0.0, 0.0)  # (MACD, Signal)9    bollinger: Tuple[float, float, float] = (0.0, 0.0, 0.0)  # (Upper, Middle, Lower)10    moving_averages: Dict[str, float] = field(default_factory=lambda: {11        'MA_20': 0.0, 12        'MA_50': 0.0, 13        'MA_200': 0.014    })15    volume_profile: Dict[str, float] = field(default_factory=lambda: {16        'vwap': 0.0, 17        'volume_ma': 0.018    })19    momentum_indicators: Dict[str, float] = field(default_factory=lambda: {20        'ROC': 0.0, 21        'ADX': 50.022    })23 24    @classmethod25    def get_default(cls) -> 'TechnicalIndicators':26        """Get default technical indicators"""27        return cls()28 29    # Optional: methods for calculation if needed in the future30    def calculate_rsi(self, price):31        # Placeholder for RSI calculation32        return 50.033 34    def calculate_macd(self, price):35        # Placeholder for MACD calculation36        return (0.0, 0.0)37 38    def calculate_bollinger_bands(self, price):39        # Placeholder for Bollinger Bands calculation40        return (0.0, 0.0, 0.0)41 42    def calculate_moving_averages(self, price):43        # Placeholder for moving averages calculation44        return {45            'MA_20': 0.0, 46            'MA_50': 0.0, 47            'MA_200': 0.048        }49 50    def calculate_momentum_indicators(self, price):51        # Placeholder for momentum indicators calculation52        return {53            'ROC': 0.0, 54            'ADX': 50.055        }