60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
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"""
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Technical Indicator Utilities
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This module provides utility functions for managing technical indicator
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configurations and validation.
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"""
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from typing import Dict, Any
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def create_default_indicators_config() -> Dict[str, Dict[str, Any]]:
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"""
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Create default configuration for common technical indicators.
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Returns:
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Dictionary with default indicator configurations
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"""
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return {
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'sma_20': {'type': 'sma', 'period': 20},
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'sma_50': {'type': 'sma', 'period': 50},
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'ema_12': {'type': 'ema', 'period': 12},
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'ema_26': {'type': 'ema', 'period': 26},
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'rsi_14': {'type': 'rsi', 'period': 14},
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'macd_default': {'type': 'macd'},
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'bollinger_bands_20': {'type': 'bollinger_bands', 'period': 20}
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}
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def validate_indicator_config(config: Dict[str, Any]) -> bool:
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"""
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Validate technical indicator configuration.
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Args:
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config: Indicator configuration dictionary
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Returns:
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True if configuration is valid, False otherwise
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"""
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required_fields = ['type']
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# Check required fields
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for field in required_fields:
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if field not in config:
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return False
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# Validate indicator type
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valid_types = ['sma', 'ema', 'rsi', 'macd', 'bollinger_bands']
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if config['type'] not in valid_types:
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return False
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# Validate period fields
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if 'period' in config and (not isinstance(config['period'], int) or config['period'] <= 0):
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return False
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# Validate standard deviation for Bollinger Bands
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if config['type'] == 'bollinger_bands' and 'std_dev' in config:
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if not isinstance(config['std_dev'], (int, float)) or config['std_dev'] <= 0:
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return False
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return True
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