The cycle zone t parameter must use (i-phase+1) per original MQL4 NonLagMA v7.1.
Using (i-phase) eliminated the intentional discontinuity at the phase/cycle boundary, producing incorrect kernel weights visible in the signature SVG.
- Implemented the TRAMA (Trend Regularity Adaptive Moving Average) class with adaptive EMA logic.
- Added unit tests for TRAMA functionality, including constructor validation, basic calculations, state management, and robustness checks.
- Created validation tests to ensure consistency across different modes of operation (streaming, batch, and static calculations).
- Enhanced documentation for TRAMA, including performance profiles and quality metrics.
- Updated workspace configuration by removing unnecessary folder references.
- LTMA (Linear Trend Moving Average): Introduces a predictive moving average using dual cascaded EMAs for trend estimation.
- MCNMA (McNicholl EMA): Implements a zero-lag TEMA using a cascaded EMA structure for enhanced responsiveness.
- NLMA (Non-Lag Moving Average): Utilizes a damped cosine kernel to achieve reduced lag in moving averages.
- NMA (Natural Moving Average): Adapts smoothing based on volatility profiles using a square-root kernel.
- NYQMA (Nyquist Moving Average): Applies the Nyquist-Shannon theorem to prevent aliasing in cascaded moving averages.
- RAIN (Rainbow Moving Average): Combines multiple SMA layers with weighted averages for multi-scale smoothing.
- TRAMA (Trend Regularity Adaptive Moving Average): Adapts smoothing based on the frequency of new highs and lows in price data.
- Implemented SgmaIndicator class in C# with properties for Period, Degree, and Source.
- Added unit tests for SgmaIndicator covering constructor defaults, initialization, and various update scenarios.
- Created a new Quantower adapter for the SGMA indicator, including input parameters and line series setup.
- Removed legacy SGMA implementation and tests to streamline the codebase.
- Updated project files to include new indicator and tests in the build process.
- Generated a missing indicators report and outlined a plan for oscillator documentation rewrite.
- Introduced YZV class for calculating Yang-Zhang Volatility, a comprehensive volatility measure that incorporates overnight, open-to-close, and high-low components.
- Implemented calculation methods, including batch processing for TBarSeries and spans.
- Added documentation for YZV, detailing its mathematical foundation, performance profile, and trading applications.
- Updated volume index documentation to reflect changes in file paths.
- Refactored VWMA calculation method to use a more generic source parameter instead of price.
- Updated buffer handling in TheilU and Wmape classes to ensure consistency after adding new values.
- Changed the resync interval constant in TukeyBiweight for better clarity.
- Refactored state structures to record structs in Gauss, Hann, Hp, Hpf, Kalman, Loess, Notch, and other filter classes for improved performance and readability.
- Enhanced numerical stability in Mama class calculations using Fused Multiply-Add (FMA) for precision.
- Added comprehensive tests for Atan2 validation to compare .NET's Math.Atan2 with PineScript's implementation, ensuring accuracy across various edge cases.
- Updated NDepend badges to reflect changes in classes, methods, and lines of code.
- Introduced a new CodeQL extension for C# in `.github/codeql/extensions/quantalib-csharp/codeql-pack.yml`.
- Added SonarLint configuration in `.sonarlint/CSharp/SonarLint.xml` and `.sonarlint/csharp.ruleset` to suppress specific rules for high-performance indicators.
- Removed outdated `.vscode/launch.json` configurations.
- Updated `.vscode/tasks.json` to streamline build and test tasks, including renaming and consolidating tasks.
- Modified `Directory.Build.props` to enhance SARIF output directory handling and integrate SonarLint rules.
- Refactored various indicator classes to improve code clarity and maintainability, including updates to method parameters for consistency.
- Added XML documentation comments to several classes and methods for better code understanding.
- Improved numerical stability in calculations by replacing direct comparisons with `double.Epsilon` checks in multiple classes.
Miha Kralj