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kingchenc 716eb40206 feat(indicators): A5a Fibonacci tools (price-level) (#171 )

Adds the six price-level Fibonacci tools as a new **Fibonacci** family (catalogue 367 -> 373, twenty-four families). All build on the internal `pattern_swing` ZigZag tracker, are parameter-free (baked 5% swing threshold), and emit `Candle -> struct` outputs via custom Python/Node/WASM bindings.

| Tool | Output |
|------|--------|
| `FibRetracement` | seven levels (0/23.6/38.2/50/61.8/78.6/100%) of the last swing leg |
| `FibExtension` | five extension ratios (127.2/141.4/161.8/200/261.8%) projected beyond the leg |
| `FibProjection` | A-B-C measured-move target zone (61.8/100/161.8/261.8%) |
| `AutoFib` | retracement anchored on the dominant (largest-magnitude) recent leg |
| `GoldenPocket` | the 0.618-0.65 optimal-trade-entry band (low/mid/high) |
| `FibConfluence` | densest cluster of retracement levels across recent legs (price + strength) |

Fully wired: core (100% unit-tested branches), Python/Node/WASM struct bindings, fuzz driver, reference + streaming-vs-batch tests, README/docs counter. The four geometric/time tools (Fan, Arcs, Channel, Time Zones) follow in A5b.

Verification: `cargo test --workspace` green, clippy `-D warnings` clean, node 450 tests, python 760 tests.

2026-06-04 00:47:00 +02:00

fuzz_targets

feat(indicators): A5a Fibonacci tools (price-level) (#171 )

2026-06-04 00:47:00 +02:00

.gitignore

E16: add a cargo-fuzz harness

2026-05-22 16:44:19 +02:00

Cargo.toml

feat: add Market Breadth family with CrossSection input (#153 )

2026-06-03 04:11:10 +02:00

README.md

test(fuzz): cover every indicator, scalar and candle inputs (R9)

2026-05-23 10:33:05 +02:00

README.md

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.