* feat(core): add signed dragonfly/gravestone encoding to Doji Doji gains an opt-in `.signed()` mode that classifies a detected Doji by the position of its body within the bar range: dragonfly (long lower shadow) emits +1.0 (bullish), gravestone (long upper shadow) emits -1.0 (bearish), and a long-legged/standard Doji emits 0.0. The default detection-flag behaviour (+1.0/0.0) is unchanged, so existing callers are unaffected. The other 14 candlestick patterns already emit the uniform +1 bull / -1 bear / 0 none convention; document that explicitly with a "Signed +-1 encoding" section on each so the whole family is a consistent drop-in ML feature. * feat(bindings): expose Doji signed mode in python, node, wasm Hand-write the Doji binding in all three language bindings (instead of the shared candle-pattern macro) so it accepts an opt-in `signed` flag and exposes an `is_signed`/`isSigned` accessor: - Python: `Doji(signed=False)` keyword argument - Node: `new Doji(signed?)` optional constructor argument (index.d.ts/.js regenerated via napi build) - WASM: `new Doji(signed?)` optional constructor argument The default construction is unchanged, so existing callers keep the direction-less +1/0 detection flag. * test(bindings,fuzz): cover Doji signed dragonfly/gravestone encoding - python: dragonfly(+1)/gravestone(-1)/neutral(0) and default-flag cases in test_known_values - node: equivalent signed/default assertions in indicators.test.js - fuzz: drive a signed Doji alongside the default in indicator_update_candle * docs: document signed candlestick convention and Doji signed mode README gains a candlestick sign-convention note; CHANGELOG records the new opt-in Doji signed dragonfly/gravestone encoding under [Unreleased].
195 lines
5.9 KiB
Rust
195 lines
5.9 KiB
Rust
//! Bullish / Bearish Harami candlestick pattern.
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use crate::ohlcv::Candle;
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use crate::traits::Indicator;
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/// Harami — a 2-bar reversal pattern. The current candle's body sits entirely
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/// inside the previous candle's body and points in the opposite direction.
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///
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/// ```text
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/// prev_body = |prev.close − prev.open|
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/// curr_body = |curr.close − curr.open|
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/// bullish = prev red & curr green
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/// & curr.open >= prev.close & curr.close <= prev.open
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/// & curr_body < prev_body
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/// bearish = prev green & curr red
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/// & curr.open <= prev.close & curr.close >= prev.open
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/// & curr_body < prev_body
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/// ```
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///
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/// Output is `+1.0` for a bullish harami (small green inside a prior red),
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/// `−1.0` for a bearish harami (small red inside a prior green), `0.0`
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/// otherwise. The first bar always returns `0.0`. Pattern-shape check only —
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/// no trend filter is applied; combine with a trend indicator for actionable
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/// signals.
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///
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/// # Signed ±1 encoding
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///
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/// This detector already emits the uniform candlestick sign convention shared
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/// across the pattern family — `+1.0` bullish, `−1.0` bearish, `0.0` no
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/// pattern — so it drops straight into a machine-learning feature matrix where
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/// the bullish and bearish variants of the pattern occupy a single dimension.
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///
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/// # Example
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///
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/// ```
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/// use wickra_core::{Candle, Harami, Indicator};
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///
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/// let mut indicator = Harami::new();
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/// indicator.update(Candle::new(12.0, 12.5, 9.5, 10.0, 1.0, 0).unwrap());
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/// let out = indicator
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/// .update(Candle::new(10.5, 11.5, 10.4, 11.0, 1.0, 1).unwrap());
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/// assert_eq!(out, Some(1.0));
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/// ```
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#[derive(Debug, Clone, Default)]
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pub struct Harami {
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prev: Option<Candle>,
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has_emitted: bool,
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}
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impl Harami {
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/// Construct a new Harami detector.
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pub const fn new() -> Self {
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Self {
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prev: None,
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has_emitted: false,
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}
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}
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}
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impl Indicator for Harami {
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type Input = Candle;
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type Output = f64;
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fn update(&mut self, candle: Candle) -> Option<f64> {
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self.has_emitted = true;
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let prev = self.prev;
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self.prev = Some(candle);
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let Some(p) = prev else {
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return Some(0.0);
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};
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let prev_body = (p.close - p.open).abs();
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let curr_body = (candle.close - candle.open).abs();
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if prev_body <= 0.0 || curr_body <= 0.0 || curr_body >= prev_body {
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return Some(0.0);
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}
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let prev_red = p.close < p.open;
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let prev_green = p.close > p.open;
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let curr_green = candle.close > candle.open;
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let curr_red = candle.close < candle.open;
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// Bullish: small green strictly inside prior red body (open >= prev.close, close <= prev.open).
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if prev_red && curr_green && candle.open >= p.close && candle.close <= p.open {
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Some(1.0)
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} else if prev_green && curr_red && candle.open <= p.close && candle.close >= p.open {
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Some(-1.0)
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} else {
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Some(0.0)
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}
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}
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fn reset(&mut self) {
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self.prev = None;
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self.has_emitted = false;
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}
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fn warmup_period(&self) -> usize {
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2
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}
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fn is_ready(&self) -> bool {
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self.has_emitted
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}
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fn name(&self) -> &'static str {
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"Harami"
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use crate::traits::BatchExt;
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fn c(open: f64, high: f64, low: f64, close: f64, ts: i64) -> Candle {
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Candle::new(open, high, low, close, 1.0, ts).unwrap()
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}
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#[test]
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fn accessors_and_metadata() {
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let h = Harami::new();
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assert_eq!(h.name(), "Harami");
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assert_eq!(h.warmup_period(), 2);
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assert!(!h.is_ready());
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}
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#[test]
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fn bullish_harami_is_plus_one() {
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let mut h = Harami::new();
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// Prior red 12 -> 10 (body 2). Current green 10.5 -> 11 inside.
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assert_eq!(h.update(c(12.0, 12.5, 9.5, 10.0, 0)), Some(0.0));
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assert_eq!(h.update(c(10.5, 11.5, 10.4, 11.0, 1)), Some(1.0));
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}
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#[test]
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fn bearish_harami_is_minus_one() {
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let mut h = Harami::new();
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// Prior green 10 -> 12 (body 2). Current red 11.5 -> 11 inside.
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assert_eq!(h.update(c(10.0, 12.5, 9.5, 12.0, 0)), Some(0.0));
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assert_eq!(h.update(c(11.5, 11.6, 10.9, 11.0, 1)), Some(-1.0));
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}
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#[test]
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fn larger_body_is_not_harami() {
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let mut h = Harami::new();
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h.update(c(11.0, 11.2, 9.8, 10.0, 0));
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// Current body bigger than prior.
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assert_eq!(h.update(c(9.5, 12.0, 9.5, 11.5, 1)), Some(0.0));
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}
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#[test]
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fn same_direction_is_not_harami() {
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let mut h = Harami::new();
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h.update(c(10.0, 12.5, 9.5, 12.0, 0));
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// Smaller candle but also green -> 0.
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assert_eq!(h.update(c(11.0, 11.6, 10.9, 11.5, 1)), Some(0.0));
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}
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#[test]
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fn first_bar_returns_zero() {
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let mut h = Harami::new();
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assert_eq!(h.update(c(10.0, 11.0, 9.0, 11.0, 0)), Some(0.0));
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}
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#[test]
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fn batch_equals_streaming() {
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let candles: Vec<Candle> = (0..40)
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.map(|i| {
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let base = 100.0 + i as f64;
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if i % 2 == 0 {
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c(base + 2.0, base + 2.5, base - 0.5, base, i)
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} else {
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c(base + 1.0, base + 1.5, base + 0.7, base + 1.3, i)
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}
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})
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.collect();
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let mut a = Harami::new();
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let mut b = Harami::new();
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assert_eq!(
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a.batch(&candles),
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candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
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);
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}
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#[test]
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fn reset_clears_state() {
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let mut h = Harami::new();
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h.update(c(12.0, 12.5, 9.5, 10.0, 0));
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h.update(c(10.5, 11.5, 10.4, 11.0, 1));
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assert!(h.is_ready());
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h.reset();
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assert!(!h.is_ready());
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// After reset the next bar again has no prev.
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assert_eq!(h.update(c(12.0, 12.5, 9.5, 10.0, 0)), Some(0.0));
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}
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}
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