v1.0.2

[1.0.2] — 2026-03-24

Performance

• Optimized rolling statistical kernels (CORREL, BETA, LINEARREG*, TSF)
  with incremental window math and matching warmup semantics.
• Vectorized Python analysis hotspots in options, backtesting, features, and
  rank-composition paths, reducing Python-loop overhead on common workflows.
• Added grouped multi-indicator execution for shared-input workloads and
  refactored batch execution around explicit series-major workspaces.

Added

• Reproducible perf-contract artifacts for single-series, batch, streaming,
  SIMD, TA-Lib comparison, and WASM benchmark runs.
• Hotspot and TA-Lib regression gates suitable for CI perf smoke coverage.
• Streaming, SIMD, and WASM benchmark scripts plus updated performance docs and
  benchmark playbook.