- Updated event handler signatures to use TValueEventArgs for consistency in Mama, Mgdi, Pwma, Rma, Sma, Ssf, Super, T3, Tema, Trima, Usf, Vidya, Wma, and Atr classes.
- Enhanced argument validation by specifying parameter names in exceptions for clarity.
- Adjusted tests to align with new event handler signatures.
- Improved code readability and maintainability by using structured records and lambda expressions.
- Implemented unit tests for the following indicators:
- KAMA (Kaufman Adaptive Moving Average)
- SMA (Simple Moving Average)
- T3 (Tillson T3 Moving Average)
- TEMA (Triple Exponential Moving Average)
- TRIMA (Triangular Moving Average)
- WMA (Weighted Moving Average)
- Each test class includes tests for constructor defaults, history depth, short name, initialization, processing updates, and source type handling.
- Updated the Quantower.Tests.csproj to include all new test files in the lib directory.
- 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.
- Deleted DebugTulip.Tests.cs as it was no longer needed.
- Refactored T3.cs to encapsulate parameters in a struct for better organization and readability.
- Updated methods in T3.cs to use the new Parameters struct, improving clarity and reducing redundancy.
- Enhanced T3.md documentation to provide clearer explanations of the T3 moving average and its parameters.
- Removed Wma.Coverage.Tests.cs as it was obsolete.
- Added new tests in IndicatorExtensions.Tests.cs to validate logic methods and ensure correct calculations.
- Updated IndicatorExtensions.cs to improve method organization and add new functionality for handling chart coordinates.
- Refactored mocks in TradingPlatformMocks.cs to align with new chart interface definitions.
- Enhanced WMA indicator with event-driven capabilities using ITValuePublisher interface.
- Created a new TODO file listing various indicators and their corresponding libraries.
- Added unit tests for DEMA, HMA, TEMA, and WMA indicators to ensure proper functionality.
- Implemented tests for handling new bars, ticks, and historical data updates across indicators.
- Verified that indicators correctly compute values and handle different source types.
- Implemented TEMA calculation in QuanTAlib with O(1) update complexity.
- Added validation tests for TEMA against Skender, TA-Lib, and Tulip indicators.
- Updated documentation for TEMA, including its mathematical foundation and usage examples.
- Enhanced existing tests for other indicators (TRIMA, WMA) to generate more records.
- Adjusted benchmark tests to include DEMA and TEMA comparisons.
- Refactored code for better readability and performance, including zero-allocation Span API.
- Removed WmaVector class to streamline weighted moving average calculations.
- Simplified RingBuffer implementation by removing unnecessary comments and improving clarity.
- Enhanced SIMD extensions for better performance and readability.
- Updated TBar and TBarSeries classes to improve property calculations and reduce overhead.
- Cleaned up TValue struct by removing redundant comments.
- Added comprehensive unit tests for IndicatorExtensions and TrimaIndicator to ensure functionality and correctness.
- 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.
Add implementation of CVI - Chaikin's Volatility class and related tests.
* **Cvi Class Implementation:**
- Add `Cvi` class in `lib/volatility/Cvi.cs` to calculate Chaikin's Volatility.
- Use high and low prices for calculation.
- Include a constructor with `period` parameter.
- Add a method to calculate Chaikin's Volatility.
* **Quantower Indicator:**
- Add `CviIndicator` class in `quantower/Volatility/CviIndicator.cs`.
- Use `Cvi` class for calculation.
- Add input parameters for `period` and `showColdValues`.
- Implement `OnInit` and `OnUpdate` methods.
* **Tests:**
- Add a test method for `Cvi` class in `Tests/test_updates_volatility.cs`.
- Use random updates to test `Cvi`.
- Ensure initial and final values are equal.
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For more details, open the [Copilot Workspace session](https://copilot-workspace.githubnext.com/mihakralj/QuanTAlib?shareId=XXXX-XXXX-XXXX-XXXX).
Miha Kralj