Commit Graph

6 Commits

Author SHA1 Message Date
Miha Kralj c75135ab14 v0.8.6: update indicator docs, ndepend tooling, ALMA refactor, gitignore cleanup 2026-03-13 13:46:52 -07:00
Miha Kralj 33d20f2a18 feat(dynamics): add PlusDI, MinusDI, PlusDM, MinusDM indicators
Complete thin Dx-composition wrapper indicators with full test coverage:

- PlusDi/MinusDi: Directional Indicator wrappers (DiPlus/DiMinus from Dx)
- PlusDm/MinusDm: Directional Movement wrappers (DmPlus/DmMinus from Dx)
- Individual validation tests per indicator directory (TALib, Skender, bounds)
- Combined unit tests (DiDm.Tests.cs) and validation tests (DiDm.Validation.Tests.cs)
- Quantower wrappers + tests for all 4 indicators
- PineScript v6 implementations with compensated RMA
- Normalized .md documentation for all indicators and categories
- 182 tests passing, 0 failures
2026-03-11 20:21:52 -07:00
Miha Kralj 19f956521d docs: add PineScript links to all indicator .md files, docsify .pine renderer with comprehensive Prism v6 syntax highlighting
- Added PineScript row to property tables in 375 .md files linking to companion .pine files
- Docsify plugin intercepts .pine link clicks, fetches and renders content as syntax-highlighted code blocks
- Comprehensive Prism.languages.pine grammar covering 18 token categories: annotations, types, qualifiers, namespaces, OHLCV builtins, functions, keywords, operators
- Custom CSS tokens using GitHub dark palette for Pine-specific visual differentiation
2026-03-11 15:36:23 -07:00
Miha Kralj 4ab3a7fb53 doc headers 2026-02-27 07:48:12 -08:00
Miha Kralj 8a1ba95173 validation and profiles 2026-02-26 22:02:52 -08:00
Miha Kralj 90d5638008 Add new moving average implementations: LTMA, MCNMA, NLMA, NMA, NYQMA, RAIN, and TRAMA
- 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.
2026-02-20 21:40:32 -08:00