- Introduced Usf.Validation.Tests.cs to validate the USF (Ehlers Ultimate Smoother Filter) for consistency across batch, streaming, and span modes, as well as mathematical properties and coefficient calculations.
- Added comprehensive tests for the ATR indicator in Atr.Quantower.Tests.cs, including constructor validation, historical data processing, and handling of NaN/Infinity inputs.
- Enhanced Atr.Tests.cs with additional tests for iterative corrections, warmup behavior, and true range calculations.
- Updated Atr.cs to ensure warmup period is derived from RMA.
- Added new tests for Adosc in Adosc.Tests.cs to validate handling of NaN and Infinity inputs, and to ensure batch calculations match iterative results.
- Created a new Volatility.csproj to organize volatility-related implementations.
- Implement tests for HMA (Hull Moving Average) indicator to verify default settings, history depth calculations, and value computations during updates.
- Create tests for KAMA (Kaufman Adaptive Moving Average) indicator, ensuring correct defaults, history depth, and value calculations.
- Add tests for SMA (Simple Moving Average) indicator, checking default values, history depth, and value computations.
- Develop tests for T3 (Tillson T3 Moving Average) indicator, validating defaults, history depth, and value calculations.
- Implement tests for TEMA (Triple Exponential Moving Average) indicator, ensuring correct defaults and value computations.
- Create tests for TRIMA (Triangular Moving Average) indicator, verifying defaults, history depth, and value calculations.
- Add tests for WMA (Weighted Moving Average) indicator, checking default values, history depth, and value computations.
- Introduced TBar struct for efficient OHLCV data representation.
- Implemented TBarSeries class for high-performance collection of TBar instances using Structure of Arrays (SoA) layout.
- Added TSeries class for time-series data management with zero-copy access.
- Created TValue struct for time-value pairs with implicit conversions.
- Defined IFeed interface for consistent data feed implementations.
- Developed CsvFeed class for loading historical OHLCV data from CSV files.
- Implemented GBM class for generating synthetic financial data using Geometric Brownian Motion.
- Added Quantower project files for Averages indicator with necessary dependencies and configurations.
- Included extensive usage examples and notebooks for TBar, TBarSeries, TSeries, TValue, and feed implementations.
Miha Kralj