fcb221ec03
Adds 19 streaming indicators so an external trading-bot feature extractor can replace its hand-built features with native, batch/streaming-equivalent ones. Each is a real gap (verified against the existing catalogue), production-only, with full Python/Node/WASM bindings, fuzz drivers, and tests. Five commits, one per family group; counter 377 -> 396. ## What's added **Price Statistics (6)** — `LogReturn`, `RealizedVolatility` (raw quadratic variation, the un-annualised counterpart to `HistoricalVolatility`), `RollingQuantile`, `RollingIqr`, `RollingPercentileRank`, `SpreadAr1Coefficient` (pairwise AR(1) rho of the spread; complements `OuHalfLife`). **Price Action (4)** — `CloseVsOpen`, `BodySizePct`, `WickRatio`, `HighLowRange` (stateless per-bar OHLC transforms). **Regime / Trend / Jump labels (3)** — `TrendLabel` (sign of the rolling OLS slope), `JumpIndicator` (return outliers vs trailing volatility, measured as deviation from the trailing mean so steady drift is not flagged), `RegimeLabel` (volatility-quantile regime split). **Risk / Performance (2)** — `WinRate`, `Expectancy` (R-multiple). **Microstructure (4)** — `OrderFlowImbalance` (Cont-Kukanov-Stoikov OFI), `Vpin`, `AmihudIlliquidity`, `RollMeasure`. These reuse the existing `OrderBook` / `Trade` inputs (no new input type). ## Intentionally NOT added (already present, would be duplicates) - **Population skew / kurtosis** — `skewness.rs` / `kurtosis.rs` are already population moments (divisor n). - **Hurst R/S** — `hurst_exponent.rs` already uses rescaled-range (R/S) analysis. - **Queue Imbalance** — exactly `OrderBookImbalanceTop1` ((bidSize - askSize) / (bidSize + askSize)). ## Verification `cargo test -p wickra-core` (lib 3187 + doc 354), `cargo clippy --workspace --all-targets --all-features -D warnings` clean, node `npm run build && npm test` (471), python `pytest` (784). Counter consistent across `mod.rs`, lib block, README, and docs/README at 396.
56 lines
2.1 KiB
Rust
56 lines
2.1 KiB
Rust
#![no_main]
|
|
//! Fuzz trade-flow `Indicator<Input = Trade>` implementations with arbitrary
|
|
//! trade tapes.
|
|
//!
|
|
//! Each iteration consumes a byte stream, interprets it as a sequence of `f64`
|
|
//! values (8 bytes each), and packs consecutive values into `(price, size)`
|
|
//! trades whose aggressor side alternates with the sign of the size field.
|
|
//! Trades are built with `Trade::new_unchecked` so the fuzzer can explore
|
|
//! degenerate values (non-finite, negative) that the validating constructor
|
|
//! would reject — the indicators must never panic, streaming or batched.
|
|
|
|
use libfuzzer_sys::fuzz_target;
|
|
use wickra_core::{AmihudIlliquidity, BatchExt, CumulativeVolumeDelta, Footprint, Indicator, RollMeasure, Side, SignedVolume, Trade, TradeImbalance, Vpin};
|
|
|
|
#[inline(never)]
|
|
fn drive<I>(make: impl Fn() -> I, trades: &[Trade])
|
|
where
|
|
I: Indicator<Input = Trade, Output = f64> + BatchExt,
|
|
{
|
|
let mut streaming = make();
|
|
for &trade in trades {
|
|
let _ = streaming.update(trade);
|
|
}
|
|
let _ = make().batch(trades);
|
|
}
|
|
|
|
fuzz_target!(|data: &[u8]| {
|
|
let floats: Vec<f64> = data
|
|
.chunks_exact(8)
|
|
.map(|c| f64::from_le_bytes(c.try_into().expect("8 bytes")))
|
|
.collect();
|
|
let trades: Vec<Trade> = floats
|
|
.chunks_exact(2)
|
|
.map(|c| {
|
|
let side = if c[1] >= 0.0 { Side::Buy } else { Side::Sell };
|
|
Trade::new_unchecked(c[0], c[1], side, 0)
|
|
})
|
|
.collect();
|
|
|
|
drive(SignedVolume::new, &trades);
|
|
drive(CumulativeVolumeDelta::new, &trades);
|
|
drive(|| TradeImbalance::new(5).unwrap(), &trades);
|
|
drive(|| Vpin::new(8.0, 5).unwrap(), &trades);
|
|
drive(|| AmihudIlliquidity::new(20).unwrap(), &trades);
|
|
drive(|| RollMeasure::new(20).unwrap(), &trades);
|
|
|
|
// Footprint emits a variable-length `FootprintOutput` rather than an `f64`,
|
|
// so it is driven directly rather than through the scalar-output helper.
|
|
let mut footprint = Footprint::new(0.5).unwrap();
|
|
for &trade in &trades {
|
|
let _ = footprint.update(trade);
|
|
}
|
|
footprint.reset();
|
|
let _ = Footprint::new(0.5).unwrap().batch(&trades);
|
|
});
|