4.0 - 1.0 Implement strategy engine foundation with modular components
- 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.
2025-06-12 14:41:16 +08:00
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"""
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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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4.0 - 2.0 Implement strategy configuration utilities and templates
- Introduced `config_utils.py` for loading and managing strategy configurations, including functions for loading templates, generating dropdown options, and retrieving parameter schemas and default values.
- Added JSON templates for EMA Crossover, MACD, and RSI strategies, defining their parameters and validation rules to enhance modularity and maintainability.
- Implemented `StrategyManager` in `manager.py` for managing user-defined strategies with file-based storage, supporting easy sharing and portability.
- Updated `__init__.py` to include new components and ensure proper module exports.
- Enhanced error handling and logging practices across the new modules for improved reliability.
These changes establish a robust foundation for strategy management and configuration, aligning with project goals for modularity, performance, and maintainability.
2025-06-12 15:17:35 +08:00
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from .manager import StrategyManager, StrategyConfig, StrategyType, StrategyCategory, get_strategy_manager
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4.0 - 1.0 Implement strategy engine foundation with modular components
- 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.
2025-06-12 14:41:16 +08:00
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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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4.0 - 2.0 Implement strategy configuration utilities and templates
- Introduced `config_utils.py` for loading and managing strategy configurations, including functions for loading templates, generating dropdown options, and retrieving parameter schemas and default values.
- Added JSON templates for EMA Crossover, MACD, and RSI strategies, defining their parameters and validation rules to enhance modularity and maintainability.
- Implemented `StrategyManager` in `manager.py` for managing user-defined strategies with file-based storage, supporting easy sharing and portability.
- Updated `__init__.py` to include new components and ensure proper module exports.
- Enhanced error handling and logging practices across the new modules for improved reliability.
These changes establish a robust foundation for strategy management and configuration, aligning with project goals for modularity, performance, and maintainability.
2025-06-12 15:17:35 +08:00
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'StrategyResult',
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'StrategyManager',
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'StrategyConfig',
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'StrategyType',
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'StrategyCategory',
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'get_strategy_manager'
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4.0 - 1.0 Implement strategy engine foundation with modular components
- 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.
2025-06-12 14:41:16 +08:00
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]
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