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feat: add 8 new indicators with full integration

Browse Source 
New indicators:
- HWC (Holt-Winters Channel) — channels, 27 tests
- VWMACD (Volume-Weighted MACD) — momentum, 38 tests
- Squeeze Pro — oscillators, 69 tests
- BW_MFI (Bill Williams MFI) — oscillators
- DSTOCH (Double Stochastic) — oscillators
- ATRSTOP (ATR Trailing Stop) — reversals
- VSTOP (Volatility Stop) — reversals
- Convexity (Beta Convexity) — statistics, 23 tests

Integration:
- Python bridge: Exports.cs, _bridge.py, wrapper modules
- Documentation: _sidebar.md, _index.md pages, SPEC.md
- All analyzer warnings fixed (MA0074, xUnit2013, S2699)

Build: 0 warnings, 0 errors | Tests: 15,933 passed, 0 failed
This commit is contained in:
Miha Kralj
2026-03-17 08:35:29 -07:00
parent 6f0a339c9b
commit 15f4bb90f3
71 changed files with 10194 additions and 44 deletions
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lib/numerics/_index.md
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@@ -8,8 +8,8 @@ Basic mathematical transforms and utility functions for time series. These build
| [BETADIST](betadist/Betadist.md) | Beta Distribution | Beta probability distribution transform. |
| [BINOMDIST](binomdist/Binomdist.md) | Binomial Distribution | Binomial probability distribution transform. |
| [CHANGE](change/Change.md) | Percentage Change | Relative price movement over lookback period. |
| [DECAY](decay/Decay.md) | Linear Decay | Peak envelope with linear degradation; max(input, prev − 1/period). |
| [CWT](cwt/Cwt.md) | Continuous Wavelet Transform | Time-frequency decomposition with continuous wavelets. |
| [DECAY](decay/Decay.md) | Linear Decay | Peak envelope with linear degradation; max(input, prev − 1/period). |
| [DWT](dwt/Dwt.md) | Discrete Wavelet Transform | À trous Haar stationary DWT; multi-resolution approximation + detail decomposition. |
| [EDECAY](edecay/Edecay.md) | Exponential Decay | Peak envelope with exponential degradation; max(input, prev × (period−1)/period). |
| [EXPDIST](expdist/Expdist.md) | Exponential Distribution | Exponential probability distribution transform. |
@@ -18,13 +18,13 @@ Basic mathematical transforms and utility functions for time series. These build
| [FFT](fft/Fft.md) | Fast Fourier Transform | Frequency-domain decomposition via FFT algorithm. |
| [GAMMADIST](gammadist/Gammadist.md) | Gamma Distribution | Gamma probability distribution transform. |
| [HIGHEST](highest/Highest.md) | Rolling Maximum | Maximum value over lookback window. |
| [MAXINDEX](maxindex/Maxindex.md) | Rolling Maximum Index | Position of maximum value in rolling window. |
| [IFFT](ifft/Ifft.md) | Inverse Fast Fourier Transform | Frequency-to-time domain reconstruction. |
| [JERK](jerk/Jerk.md) | Jerk | Rate of acceleration; third derivative of price. |
| [LINEARTRANS](lineartrans/Lineartrans.md) | Linear Transform | y = ax + b scaling transformation. |
| [LOGNORMDIST](lognormdist/Lognormdist.md) | Log-normal Distribution | Log-normal probability distribution transform. |
| [LOGTRANS](logtrans/Logtrans.md) | Logarithmic Transform | Natural log for percentage-based analysis. |
| [LOWEST](lowest/Lowest.md) | Rolling Minimum | Minimum value over lookback window. |
| [MAXINDEX](maxindex/Maxindex.md) | Rolling Maximum Index | Position of maximum value in rolling window. |
| [MININDEX](minindex/Minindex.md) | Rolling Minimum Index | Position of minimum value in rolling window. |
| [NORMDIST](normdist/Normdist.md) | Normal Distribution | Gaussian probability distribution transform. |
| [NORMALIZE](normalize/Normalize.md) | Min-Max Normalization | Scale to [0,1] range using rolling min/max. |