13bc801f89
Adds the **B3 — Trend & Directional** batch: seven new indicators, taking the catalog from 413 to 420 (Trend & Directional family). | Indicator | Input → Output | Summary | |-----------|----------------|---------| | `Qstick` | candle → f64 | Chande's SMA of the candle body (close − open) | | `TtmTrend` | candle → f64 (±1) | John Carter close-vs-median-SMA trend filter | | `TrendStrengthIndex` | f64 → f64 | signed r² of an OLS regression of price vs time | | `PolarizedFractalEfficiency` | f64 → f64 | Hannula directional trend efficiency | | `WavePm` | f64 → f64 | Kase variance-normalised peak-momentum statistic (reconstruction) | | `GatorOscillator` | candle → struct | Bill Williams Alligator convergence/divergence histogram | | `KasePermissionStochastic` | candle → struct | double-smoothed stochastic permission filter | Note: the roadmap's "Directional Indicator +DI/−DI" item is already covered by the existing standalone `PlusDi` / `MinusDi` / `Dx`, so it is intentionally not re-added. All touchpoints wired: core (every-branch unit tests), Python/Node/WASM bindings, fuzz drivers, Python test registries + reference tests, Node factories, README/CHANGELOG counters. Local verify: `cargo test -p wickra-core` (lib 3389 + doc 378), `cargo clippy --workspace --all-targets --all-features -- -D warnings`, node build + 495 tests, maturin + 815 pytest, counter 420 == 420.
Fuzzing Wickra
cargo-fuzz harnesses for
the parsing and stateful entry points of Wickra. Fuzzing requires a nightly
Rust toolchain.
Setup
cargo install cargo-fuzz
rustup toolchain install nightly
Targets
| Target | What it exercises |
|---|---|
csv_reader |
CandleReader over arbitrary bytes — headers, cells, BOM, binary noise. |
binance_envelope |
RawWsEnvelope deserialization from arbitrary strings. |
indicator_update |
Every scalar-input indicator (SMA / EMA / WMA / RSI / DEMA / TEMA / HMA / ROC / TRIX / SMMA / TRIMA / ZLEMA / KAMA / T3 / MOM / CMO / TSI / PMO / StochRSI / DPO / PPO / Coppock / StdDev / UlcerIndex / HistoricalVolatility / LinearRegression / LinRegSlope / LinRegAngle / VHF / ZScore / MACD / Bollinger) streamed + batched over arbitrary f64 sequences (NaN, ±inf, jumps). |
indicator_update_candle |
Every candle-input indicator (ATR, NATR, TrueRange, ChaikinVolatility, Keltner, Donchian, PSAR, SuperTrend, ChandelierExit, ChandeKrollStop, ATRTrailingStop, ADX, Aroon, AroonOscillator, Vortex, MassIndex, ChoppinessIndex, CCI, WilliamsR, AwesomeOscillator, AcceleratorOscillator, UltimateOscillator, BalanceOfPower, OBV, MFI, VWAP, RollingVWAP, VWMA, ADL, VPT, CMF, ChaikinOscillator, ForceIndex, EaseOfMovement, TypicalPrice, MedianPrice, WeightedClose, Stochastic) streamed + batched over fuzz-derived OHLCV candles. |
tick_aggregator |
TickAggregator over arbitrary (price, volume, timestamp) triples. |
Run
# From the repository root:
cargo +nightly fuzz run csv_reader
cargo +nightly fuzz run binance_envelope
cargo +nightly fuzz run indicator_update
cargo +nightly fuzz run indicator_update_candle
cargo +nightly fuzz run tick_aggregator
Each run continues until a crash is found or it is interrupted. A short time-boxed smoke run is useful in CI:
cargo +nightly fuzz run csv_reader -- -max_total_time=60
The expectation for every target is that it never panics: malformed or
adversarial input must surface as an Err, never a crash.