fd5a59fc39
- Introduced a new `strategies` package containing the core structure for trading strategies, including `BaseStrategy`, `StrategyFactory`, and various strategy implementations (EMA, RSI, MACD). - Added utility functions for signal detection and validation in `strategies/utils.py`, enhancing modularity and maintainability. - Updated `pyproject.toml` to include the new `strategies` package in the build configuration. - Implemented comprehensive unit tests for the strategy foundation components, ensuring reliability and adherence to project standards. These changes establish a solid foundation for the strategy engine, aligning with project goals for modularity, performance, and maintainability.
26 lines
824 B
Python
26 lines
824 B
Python
"""
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Strategy Engine Package
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This package provides strategy calculation and signal generation capabilities
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optimized for the TCP Trading Platform's market data and technical indicators.
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IMPORTANT: Mirrors Indicator Patterns
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- Follows the same architecture as data/common/indicators/
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- Uses BaseStrategy abstract class pattern
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- Implements factory pattern for dynamic strategy loading
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- Supports JSON-based configuration management
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- Integrates with existing technical indicators system
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"""
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from .base import BaseStrategy
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from .factory import StrategyFactory
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from .data_types import StrategySignal, SignalType, StrategyResult
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# Note: Strategy implementations and manager will be added in next iterations
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__all__ = [
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'BaseStrategy',
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'StrategyFactory',
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'StrategySignal',
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'SignalType',
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'StrategyResult'
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] |