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.

crates/wickra-core/src/indicators/mod.rs

@@ -0,0 +1,57 @@
+//! Built-in indicators. Every indicator implements [`crate::Indicator`].
+//!
+//! Modules are organised internally by category (trend, momentum, volatility,
+//! volume) but every public name is also re-exported flat from this module and
+//! from the crate root for convenience.
+
+mod adx;
+mod aroon;
+mod atr;
+mod awesome_oscillator;
+mod bollinger;
+mod cci;
+mod dema;
+mod donchian;
+mod ema;
+mod hma;
+mod kama;
+mod keltner;
+mod macd;
+mod mfi;
+mod obv;
+mod psar;
+mod roc;
+mod rsi;
+mod sma;
+mod stochastic;
+mod tema;
+mod trix;
+mod vwap;
+mod williams_r;
+mod wma;
+
+pub use adx::{Adx, AdxOutput};
+pub use aroon::{Aroon, AroonOutput};
+pub use atr::Atr;
+pub use awesome_oscillator::AwesomeOscillator;
+pub use bollinger::{BollingerBands, BollingerOutput};
+pub use cci::Cci;
+pub use dema::Dema;
+pub use donchian::{Donchian, DonchianOutput};
+pub use ema::Ema;
+pub use hma::Hma;
+pub use kama::Kama;
+pub use keltner::{Keltner, KeltnerOutput};
+pub use macd::{MacdIndicator, MacdOutput};
+pub use mfi::Mfi;
+pub use obv::Obv;
+pub use psar::Psar;
+pub use roc::Roc;
+pub use rsi::Rsi;
+pub use sma::Sma;
+pub use stochastic::{Stochastic, StochasticOutput};
+pub use tema::Tema;
+pub use trix::Trix;
+pub use vwap::{RollingVwap, Vwap};
+pub use williams_r::WilliamsR;
+pub use wma::Wma;