Release 0.8.0

This is a major breaking release. The entire API surface has been redesigned:

• New base class hierarchy — All indicators now inherit from AbstractBase, enforcing a consistent contract: Update(TValue), Update(TSeries), Prime(), and Reset().
• TSeries replaces lists — The new Structure-of-Arrays (SoA) design stores timestamps and values in separate contiguous arrays, exposing ReadOnlySpan<double> via CollectionsMarshal.AsSpan() for zero-copy SIMD access.
• TValue and TBar are now readonly record structs — 16-byte and 48-byte value types that eliminate heap allocation in hot paths.

If you're migrating from 0.7.x, expect to update your indicator constructors, switch from list-based APIs to span-based ones, and adopt the new event-driven ITValuePublisher pattern.

📊 395 Indicators — From 16 Categories

This release ships with 395 fully implemented, tested, and documented indicators across 16 categories:

Category	Count	Highlights
🔵 Trends (FIR)	33	SMA, WMA, HMA, ALMA, Lanczos, Kaiser, Savitzky-Golay, and 26 more windowed averages
🟣 Trends (IIR)	36	EMA, DEMA, TEMA, JMA, KAMA, MAMA, T3, VIDYA, and 28 more recursive filters
🔬 Filters	37	Butterworth, Chebyshev Type I/II, Elliptic, Bessel, Kalman, Wavelet, One Euro, and 28 more
📈 Oscillators	47	RSI, Stochastic, MACD, CCI, Williams %R, Fisher, QQE, TD Sequential, and 39 more
🧭 Dynamics	21	ADX, Aroon, Ichimoku, SuperTrend, Alligator, Vortex, TTM Squeeze, and 14 more
💥 Momentum	19	ROC, RSI, RSX, MACD, CMO, TSI, PPO, and 12 more
🌊 Volatility	26	ATR, Bollinger Width, Garman-Klass, Yang-Zhang, Jurik Volatility, and 21 more
📦 Volume	27	OBV, VWAP, VWMA, MFI, Klinger, Chaikin A/D, TWAP, and 20 more
📐 Statistics	35	StdDev, Correlation, Cointegration, Granger Causality, Hurst Exponent, and 30 more
📏 Channels	23	Bollinger Bands, Keltner, Donchian, VWAP Bands, Jurik Bands, and 18 more
🔄 Cycles	14	Ehlers Hilbert Transform suite, Cyber Cycle, EBSW, Lunar/Solar, and 8 more
↩️ Reversals	12	Parabolic SAR, Chandelier Exit, Pivot Points (6 variants), Fractals, and more
🔮 Forecasts	1	AFIRMA (Adaptive FIR Moving Average)
❌ Errors	26	RMSE, MAE, MAPE, Huber Loss, R², and 21 more loss/error functions
🔢 Numerics	27	FFT/IFFT, Wavelets (CWT/DWT), 7 statistical distributions, transforms, and more
⚙️ Core	7	Heikin-Ashi, Average/Median/Typical/Weighted Close Price, Midpoint/Midprice