4 Commits

Author SHA1 Message Date
Vasily.onl
f09864d61b 4.0 - 3.0 Implement strategy analysis tables and repository for backtesting
- Added `StrategyRun` and `StrategySignal` models to track strategy execution sessions and generated signals, respectively, ensuring a clear separation from live trading data.
- Introduced `StrategyRepository` for managing database operations related to strategy runs and signals, including methods for creating, updating, and retrieving strategy data.
- Updated `DatabaseOperations` to integrate the new repository, enhancing the overall architecture and maintaining consistency with existing database access patterns.
- Enhanced documentation to reflect the new database schema and repository functionalities, ensuring clarity for future development and usage.

These changes establish a robust foundation for strategy analysis and backtesting, aligning with project goals for modularity, performance, and maintainability.
2025-06-12 15:29:14 +08:00
Vasily.onl
d34da789ec 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
Vasily.onl
fd5a59fc39 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
Vasily.onl
571d583a5b 4.0 strategies 2025-06-12 14:04:46 +08:00