Twelve WASM classes previously exposed only `batch()` (and not even
`reset()` for ten of them): ADX, WilliamsR, CCI, MFI, PSAR, Keltner,
Donchian, VWAP, AwesomeOscillator, Aroon, Stochastic, OBV. Browser
consumers wanting per-tick updates had to replay `batch()` on every new
candle — the opposite of the library's streaming-first promise.
Each class now exposes:
- `update(...)` — per-tick streaming update with the same column inputs
as `batch()`. Single-output indicators return `Option<f64>`. Multi-
output indicators (ADX, Keltner, Donchian, Aroon, Stochastic) return a
named JS object (`{ plusDi, minusDi, adx }`, `{ upper, middle, lower }`,
`{ up, down }`, `{ k, d }`) once warm, or `null` during warmup. This
matches the existing `SuperTrend` convention so JS code can treat all
multi-output WASM indicators uniformly.
- `reset()`, `isReady()`, `warmupPeriod()` — bring the lifecycle API to
full parity with Python and Node.
`WasmKama` also gains the previously missing `warmupPeriod()` (R8). A
single new `wasm-bindgen-test` exercises every newly wired class against
a deterministic 40-bar synthetic OHLCV stream, asserting that
streaming `update` matches `batch` value-by-value and that the lifecycle
contract behaves the same as the core indicator.
kingchenc
3a6b5ebae3