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wickra/crates/wickra-core/src/indicators/harami.rs
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kingchencandGitHub 0479191b66 feat: signed candlestick directional ±1 encoding (Doji signed mode) (#111)
* 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].
2026-06-01 14:37:20 +02:00

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//! Bullish / Bearish Harami candlestick pattern.
use crate::ohlcv::Candle;
use crate::traits::Indicator;
/// Harami — a 2-bar reversal pattern. The current candle's body sits entirely
/// inside the previous candle's body and points in the opposite direction.
///
/// ```text
/// prev_body = |prev.close prev.open|
/// curr_body = |curr.close curr.open|
/// bullish = prev red & curr green
/// & curr.open >= prev.close & curr.close <= prev.open
/// & curr_body < prev_body
/// bearish = prev green & curr red
/// & curr.open <= prev.close & curr.close >= prev.open
/// & curr_body < prev_body
/// ```
///
/// Output is `+1.0` for a bullish harami (small green inside a prior red),
/// `1.0` for a bearish harami (small red inside a prior green), `0.0`
/// otherwise. The first bar always returns `0.0`. Pattern-shape check only —
/// no trend filter is applied; combine with a trend indicator for actionable
/// signals.
///
/// # Signed ±1 encoding
///
/// This detector already emits the uniform candlestick sign convention shared
/// across the pattern family — `+1.0` bullish, `1.0` bearish, `0.0` no
/// pattern — so it drops straight into a machine-learning feature matrix where
/// the bullish and bearish variants of the pattern occupy a single dimension.
///
/// # Example
///
/// ```
/// use wickra_core::{Candle, Harami, Indicator};
///
/// let mut indicator = Harami::new();
/// indicator.update(Candle::new(12.0, 12.5, 9.5, 10.0, 1.0, 0).unwrap());
/// let out = indicator
/// .update(Candle::new(10.5, 11.5, 10.4, 11.0, 1.0, 1).unwrap());
/// assert_eq!(out, Some(1.0));
/// ```
#[derive(Debug, Clone, Default)]
pub struct Harami {
prev: Option<Candle>,
has_emitted: bool,
}
impl Harami {
/// Construct a new Harami detector.
pub const fn new() -> Self {
Self {
prev: None,
has_emitted: false,
}
}
}
impl Indicator for Harami {
type Input = Candle;
type Output = f64;
fn update(&mut self, candle: Candle) -> Option<f64> {
self.has_emitted = true;
let prev = self.prev;
self.prev = Some(candle);
let Some(p) = prev else {
return Some(0.0);
};
let prev_body = (p.close - p.open).abs();
let curr_body = (candle.close - candle.open).abs();
if prev_body <= 0.0 || curr_body <= 0.0 || curr_body >= prev_body {
return Some(0.0);
}
let prev_red = p.close < p.open;
let prev_green = p.close > p.open;
let curr_green = candle.close > candle.open;
let curr_red = candle.close < candle.open;
// Bullish: small green strictly inside prior red body (open >= prev.close, close <= prev.open).
if prev_red && curr_green && candle.open >= p.close && candle.close <= p.open {
Some(1.0)
} else if prev_green && curr_red && candle.open <= p.close && candle.close >= p.open {
Some(-1.0)
} else {
Some(0.0)
}
}
fn reset(&mut self) {
self.prev = None;
self.has_emitted = false;
}
fn warmup_period(&self) -> usize {
2
}
fn is_ready(&self) -> bool {
self.has_emitted
}
fn name(&self) -> &'static str {
"Harami"
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::traits::BatchExt;
fn c(open: f64, high: f64, low: f64, close: f64, ts: i64) -> Candle {
Candle::new(open, high, low, close, 1.0, ts).unwrap()
}
#[test]
fn accessors_and_metadata() {
let h = Harami::new();
assert_eq!(h.name(), "Harami");
assert_eq!(h.warmup_period(), 2);
assert!(!h.is_ready());
}
#[test]
fn bullish_harami_is_plus_one() {
let mut h = Harami::new();
// Prior red 12 -> 10 (body 2). Current green 10.5 -> 11 inside.
assert_eq!(h.update(c(12.0, 12.5, 9.5, 10.0, 0)), Some(0.0));
assert_eq!(h.update(c(10.5, 11.5, 10.4, 11.0, 1)), Some(1.0));
}
#[test]
fn bearish_harami_is_minus_one() {
let mut h = Harami::new();
// Prior green 10 -> 12 (body 2). Current red 11.5 -> 11 inside.
assert_eq!(h.update(c(10.0, 12.5, 9.5, 12.0, 0)), Some(0.0));
assert_eq!(h.update(c(11.5, 11.6, 10.9, 11.0, 1)), Some(-1.0));
}
#[test]
fn larger_body_is_not_harami() {
let mut h = Harami::new();
h.update(c(11.0, 11.2, 9.8, 10.0, 0));
// Current body bigger than prior.
assert_eq!(h.update(c(9.5, 12.0, 9.5, 11.5, 1)), Some(0.0));
}
#[test]
fn same_direction_is_not_harami() {
let mut h = Harami::new();
h.update(c(10.0, 12.5, 9.5, 12.0, 0));
// Smaller candle but also green -> 0.
assert_eq!(h.update(c(11.0, 11.6, 10.9, 11.5, 1)), Some(0.0));
}
#[test]
fn first_bar_returns_zero() {
let mut h = Harami::new();
assert_eq!(h.update(c(10.0, 11.0, 9.0, 11.0, 0)), Some(0.0));
}
#[test]
fn batch_equals_streaming() {
let candles: Vec<Candle> = (0..40)
.map(|i| {
let base = 100.0 + i as f64;
if i % 2 == 0 {
c(base + 2.0, base + 2.5, base - 0.5, base, i)
} else {
c(base + 1.0, base + 1.5, base + 0.7, base + 1.3, i)
}
})
.collect();
let mut a = Harami::new();
let mut b = Harami::new();
assert_eq!(
a.batch(&candles),
candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
);
}
#[test]
fn reset_clears_state() {
let mut h = Harami::new();
h.update(c(12.0, 12.5, 9.5, 10.0, 0));
h.update(c(10.5, 11.5, 10.4, 11.0, 1));
assert!(h.is_ready());
h.reset();
assert!(!h.is_ready());
// After reset the next bar again has no prev.
assert_eq!(h.update(c(12.0, 12.5, 9.5, 10.0, 0)), Some(0.0));
}
}