Commit Graph

7 Commits

Author SHA1 Message Date
kingchenc 780a176072 F2: add ZLEMA, T3 and VWMA advanced moving averages
Completes the F2 family (Advanced MAs) end to end:

- Rust core: zlema.rs (Zero-Lag EMA over the de-lagged series
  2·price − price[lag]), t3.rs (Tillson's six-EMA cascade with the
  volume-factor polynomial), vwma.rs (volume-weighted rolling mean with
  a zero-volume fallback to the unweighted mean). Each with a full
  Indicator impl, runnable doctest and reference-value / warmup /
  reset / batch==streaming / non-finite tests.
- Python: PyZlema / PyT3 / PyVwma PyO3 classes + module registration
  + .pyi stubs (T3 defaults v=0.7).
- Node: ZlemaNode via the scalar macro, explicit T3Node and VwmaNode
  classes; index.d.ts and index.js updated.
- WASM: WasmZlema / WasmT3 via the scalar macro, explicit WasmVwma.
- Wiki: Indicator-Zlema.md, Indicator-T3.md, Indicator-Vwma.md plus
  rows in Indicators-Overview.md and entries in Home.md.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 232 core tests,
25 data tests and 33 doctests green.
2026-05-22 17:45:02 +02:00
kingchenc ed7324115c F1: wire SMMA and TRIMA through every binding and the wiki
Completes the F1 family (Simple & Weighted MAs). The Rust core for both
SMMA (Wilder's RMA) and TRIMA (triangular MA) already landed; this adds
the remaining Definition-of-Done steps:

- Python: PySmma / PyTrima PyO3 classes + module registration + .pyi stubs.
- Node: SmmaNode / TrimaNode via the scalar-indicator macro; index.d.ts
  and index.js updated for the two new classes.
- WASM: WasmSmma / WasmTrima via the scalar-indicator macro.
- Wiki: Indicator-Smma.md and Indicator-Trima.md (full pages) plus rows
  in Indicators-Overview.md and entries in Home.md.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 208 core tests,
25 data tests and 31 doctests green.
2026-05-22 17:34:38 +02:00
kingchenc 3e8c48eefc fix(wasm): call expect() directly instead of ok().expect() in tests
The WASM binding's test module (added in B6) used `.ok().expect(...)`
on the Result-returning constructors. clippy's ok_expect lint rejects
this under the workspace's `-D warnings`, and the CI rust job lints
wickra-wasm with --all-targets — so the branch would fail CI.

Replace all seven `.ok().expect(...)` with `.expect(...)` directly;
JsError implements Debug, so this compiles and gives a better panic
message. clippy and fmt are now clean for wickra-wasm.
2026-05-22 16:47:16 +02:00
kingchenc 59c435fbd5 chore: apply rustfmt to binding/core sources and sync Cargo.lock
Normalises whitespace in sources committed earlier in this branch
before rustfmt was run over them (Node/WASM bindings, and three core
indicator test modules), and records the wasm-bindgen-test dependency
tree added in B6 into Cargo.lock. No functional change; cargo fmt --all
--check is now clean.
2026-05-22 04:14:18 +02:00
kingchenc 8192e576cf B6: add a WASM binding test suite
The WASM binding had no tests; CI only checked that artefacts existed.
Adds a wasm-bindgen-test suite covering SMA reference values, EMA
batch==streaming equivalence, RSI pure-uptrend behaviour, fallible
constructors returning JsError, and the unequal-length batch guards from
B3. Wires wasm-pack test --node into the CI wasm job. The suite
type-checks on the host; it executes under wasm-pack in CI (the local
environment is a non-rustup Rust install without the wasm32 target).
2026-05-22 04:05:15 +02:00
kingchenc b4613a74c8 B3: guard candle batch methods against unequal-length arrays
Candle batch() methods that index parallel high/low/close/volume arrays
without first checking their lengths panic on a length mismatch. Adds an
equal-length guard returning a clean error to the 11 affected Node
methods (Stochastic, ADX, CCI, WilliamsR, MFI, PSAR, Keltner, Donchian,
VWAP, AO, Aroon), the 10 affected WASM methods, and the 8 affected
Python methods (WilliamsR, ADX, MFI, PSAR, Keltner, VWAP, AO, Aroon) --
matching the guard ATR/OBV already had. Verified in Node: mismatched
arrays now throw instead of crashing.
2026-05-22 03:55:27 +02:00
kingchenc 3be267cb03 Wickra 0.1.0: streaming-first technical indicators
A multi-language technical analysis library: 25 indicators across trend,
momentum, volatility, and volume families, every one a state machine with
O(1) per-tick updates. Batch evaluation is provided by a blanket extension
trait over the streaming primitive, so live trading bots and historical
backtests run the same code path.

What ships in this initial drop:

  crates/wickra-core   - 25 indicators, Indicator/BatchExt/Chain traits,
                          OHLCV types with validation; 171 unit tests,
                          property tests, Wilder/Bollinger textbook tests.
  crates/wickra        - top-level facade + criterion benches for every
                          indicator at 1K/10K/100K series sizes.
  crates/wickra-data   - streaming CSV reader, tick-to-candle aggregator,
                          multi-timeframe resampler, Binance Spot kline
                          WebSocket adapter behind feature live-binance;
                          11 unit + 1 doctest.
  bindings/python      - PyO3 + maturin, NumPy I/O, type stubs (.pyi),
                          56 pytest tests including streaming==batch
                          equivalence, Wilder reference values, lifecycle.
  bindings/node        - napi-rs native module, TypeScript .d.ts
                          auto-generated, 7 node --test cases.
  bindings/wasm        - wasm-bindgen ES module for browser/bundler/Node;
                          interactive HTML demo at examples/index.html.
  examples/            - Python and Rust scripts: backtest, live trading,
                          parallel multi-asset, multi-timeframe, Binance.
  benchmarks/          - cross-library comparison against TA-Lib,
                          pandas-ta, finta, talipp; Wickra wins every
                          category by 11-1030x (batch) and 17x+ streaming.
  .github/workflows/   - CI matrix (Rust + Python + Node + WASM on
                          Linux/macOS/Windows), release pipeline for
                          PyPI wheels and npm.

Indicators (25):
  Trend       SMA EMA WMA DEMA TEMA HMA KAMA
  Momentum    RSI MACD Stochastic CCI ROC WilliamsR ADX MFI TRIX
              AwesomeOscillator Aroon
  Volatility  BollingerBands ATR Keltner Donchian PSAR
  Volume      OBV VWAP (cumulative + rolling)

cargo clippy --workspace --all-targets -D warnings is clean. License: Apache-2.0.
2026-05-21 17:50:45 +02:00