kingchenc
8aa74cb638
The 0.2.0 release left wickra@npm stuck at 0.1.4 and never created a GitHub Release entry because the brand-new `wickra-win32-arm64-msvc` sub-package name was caught by npm's spam-detection filter on its first publish attempt (same situation that affected `wickra-win32-x64-msvc` through 0.1.4 until npm Support unblocked it). A support ticket is open; until it is resolved, ship 0.2.1 for the five platforms whose sub-packages are already on npm and re-add Windows ARM64 in a follow-up release. Changes for this cycle: - bindings/node/package.json: remove "wickra-win32-arm64-msvc" from optionalDependencies and "aarch64-pc-windows-msvc" from napi.triples.additional. - bindings/node/npm/win32-arm64-msvc/: removed (will be restored fresh once the npm name is unblocked). - .github/workflows/release.yml: comment out the aarch64-pc-windows-msvc entry of the node-build matrix with a TODO/restore note. - Bump every workspace and binding version to 0.2.1 (Cargo.toml, pyproject.toml, bindings/node/package.json, five npm/<target> templates, the wiki version table). Cargo.lock regenerated. - CHANGELOG: new [0.2.1] block consolidating every fix that has landed on main since 0.2.0 (HV epsilon, examples CI step, fuzz cargo-fuzz install, MSRV 1.85 -> 1.86 / 1.77 -> 1.88, criterion 0.5 -> 0.8, tokio-tungstenite 0.24 -> 0.29, tick_aggregator gap-fill cap, every GitHub Action SHA-pin bump). Compare-link added. The arm64 loader branch in bindings/node/index.js is left untouched: a Windows ARM64 user installing 0.2.1 will get the standard `Cannot find module 'wickra-win32-arm64-msvc'` error from the loader, which is accurate. PyPI's win-arm64 wheel is unaffected. Verified locally: cargo fmt/clippy/test --workspace --all-features -> 630 passed / 0 failed cargo build -p wickra-examples --bins -> clean cargo build -p wickra-node -> clean
Wickra — Python bindings
Streaming-first technical indicators powered by a Rust core.
pip install wickra
Quick start
import numpy as np
import wickra as ta
# Batch — TA-Lib-style usage
prices = np.linspace(100, 200, 1000)
rsi = ta.RSI(14).batch(prices) # NumPy array; NaN during warmup
# Streaming — feed ticks one at a time
rsi = ta.RSI(14)
for price in live_prices:
v = rsi.update(price) # O(1) per tick
if v is not None and v > 70:
...
What's included
71 streaming-first indicators across eight families. Every one passes a
batch == streaming equivalence test and reference-value tests:
- Moving Averages — SMA, EMA, WMA, DEMA, TEMA, HMA, KAMA, SMMA, TRIMA, ZLEMA, T3, VWMA
- Momentum Oscillators — RSI (Wilder), Stochastic, CCI, ROC, Williams %R, MFI, Awesome Oscillator, MOM, CMO, TSI, PMO, StochRSI, Ultimate Oscillator
- Trend & Directional — MACD, ADX (+DI/-DI), Aroon, TRIX, Aroon Oscillator, Vortex, Mass Index, Choppiness Index, Vertical Horizontal Filter
- Price Oscillators — PPO, DPO, Coppock, Accelerator Oscillator, Balance of Power
- Volatility & Bands — ATR, Bollinger Bands, Keltner Channels, Donchian Channels, NATR, StdDev, Ulcer Index, Historical Volatility, Bollinger Bandwidth, %B, True Range, Chaikin Volatility
- Trailing Stops — Parabolic SAR, SuperTrend, Chandelier Exit, Chande Kroll Stop, ATR Trailing Stop
- Volume — OBV, VWAP (cumulative + rolling), ADL, Volume-Price Trend, Chaikin Money Flow, Chaikin Oscillator, Force Index, Ease of Movement
- Price Statistics — Typical Price, Median Price, Weighted Close, Linear Regression, Linear Regression Slope, Z-Score, Linear Regression Angle
Why streaming-first matters
Classic TA libraries are batch-only: every live tick triggers a full recomputation over the entire history. Wickra updates indicator state in O(1) per tick. On a 5K-bar history the streaming RSI gap is ~17× over the nearest peer with a streaming API and 100×+ over batch-only libraries.
Full project
See https://github.com/kingchenc/wickra for benchmarks, the Rust core, Node.js and WebAssembly bindings, examples, and CI.
License
Licensed under the PolyForm Noncommercial License 1.0.0. Personal, research, educational, and non-profit use are all permitted. Commercial sale requires a separate license — contact via the GitHub repo.