12 Commits

Author SHA1 Message Date
267f040fe8 Merge branch 'xgboost'
# Conflicts:
#	.gitignore
#	README.md
#	cycles/backtest.py
#	main.py
#	pyproject.toml
#	uv.lock
2025-07-11 09:04:49 +08:00
65ae3060de revert b71faa97589d220e5046b4d530d1660f6f0abe9a
revert refactor for modularity
2025-05-23 12:47:59 +00:00
Ajasra
b71faa9758 refactor for modularity 2025-05-23 20:37:14 +08:00
Ajasra
c743e81af8 renaming for bb_rsi 2025-05-23 20:15:15 +08:00
Vasily.onl
7af8cdcb32 Enhance Bollinger Bands validation and add DatetimeIndex handling in strategies
- Added validation to ensure the specified price column exists in the DataFrame for Bollinger Bands calculations.
- Introduced a new method to ensure the DataFrame has a proper DatetimeIndex, improving time-series operations in strategy processing.
- Updated strategy run method to call the new DatetimeIndex validation method before processing data.
- Improved logging for better traceability of data transformations and potential issues.
2025-05-23 15:21:40 +08:00
Ajasra
00873d593f Enhance strategy output standardization and improve plotting logic
- Introduced a new method to standardize output column names across different strategies, ensuring consistency in data handling and plotting.
- Updated plotting logic in test_bbrsi.py to utilize standardized column names, improving clarity and maintainability.
- Enhanced error handling for missing data in plots and adjusted visual elements for better representation of trading signals.
- Improved the overall structure of strategy implementations to support additional indicators and metadata for better analysis.
2025-05-22 18:16:23 +08:00
Ajasra
3a9dec543c Refactor test_bbrsi.py and enhance strategy implementations
- Removed unused configuration for daily data and consolidated minute configuration into a single config dictionary.
- Updated plotting logic to dynamically handle different strategies, ensuring appropriate bands and signals are displayed based on the selected strategy.
- Improved error handling and logging for missing data in plots.
- Enhanced the Bollinger Bands and RSI classes to support adaptive parameters based on market regimes, improving flexibility in strategy execution.
- Added new CryptoTradingStrategy with multi-timeframe analysis and volume confirmation for better trading signal accuracy.
- Updated documentation to reflect changes in strategy implementations and configuration requirements.
2025-05-22 17:57:04 +08:00
Ajasra
8e220b564c Merge branch 'main' of https://dep.sokaris.link/Simon/Cycles 2025-05-22 17:15:55 +08:00
Ajasra
1107346594 refactor to move inside strategy calculations 2025-05-22 17:15:51 +08:00
Simon Moisy
45c853efab Moved supertrend.py to Analysis subfolder 2025-05-22 17:09:29 +08:00
Ajasra
a924328c90 Implement Market Regime Strategy and refactor Bollinger Bands and RSI classes
- Introduced a new Strategy class to encapsulate trading strategies, including the Market Regime Strategy that adapts to different market conditions.
- Refactored BollingerBands and RSI classes to accept configuration parameters for improved flexibility and maintainability.
- Updated test_bbrsi.py to utilize the new strategy implementation and adjusted date ranges for testing.
- Enhanced documentation to include details about the new Strategy class and its components.
2025-05-22 16:44:59 +08:00
Ajasra
08c871e05a Boilinger Band and RSI implementation 2025-05-20 18:28:53 +08:00