WeightedClose

Weighted Close — the bar's (high + low + 2·close) / 4, a per-bar price that gives the close double weight.

Quick reference

Field	Value
Family	Price Statistics
Input type	Candle (uses high, low, close)
Output type	f64
Output range	unbounded (price scale)
Default parameters	none (no parameters)
Warmup period	1
Interpretation	A representative per-bar price that leans on the close.

Formula

WeightedClose = (high + low + 2·close) / 4

Like the TypicalPrice, the weighted close collapses an OHLC bar to one number — but it counts the close twice, so the result sits closer to where the bar settled than to its range. Reach for it when the closing print carries more signal than the extremes.

Parameters

WeightedClose takes no parameters — WeightedClose::new() in Rust, wickra.WeightedClose() in Python, new ta.WeightedClose() in Node.

Inputs / Outputs

From crates/wickra-core/src/indicators/weighted_close.rs:

use wickra::{Indicator, WeightedClose, Candle};
// WeightedClose: Input = Candle, Output = f64
const _: fn(&mut WeightedClose, Candle) -> Option<f64> = <WeightedClose as Indicator>::update;

WeightedClose is a candle-input indicator that reads high, low and close. In Python the streaming update accepts a 6-tuple or a dict; the batch helper takes high, low, close numpy arrays. Node and WASM expose update(high, low, close) and the matching batch.

Warmup

WeightedClose::new().warmup_period() == 1. It is a stateless per-bar transform — it emits a value from the very first candle.

Edge cases

• No warmup. Every candle produces a value immediately.
• Reset. wc.reset() only clears the is_ready flag; there is no rolling state to discard.

Examples

Rust

use wickra::{Candle, Indicator, WeightedClose};

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let mut wc = WeightedClose::new();
    let v = wc.update(Candle::new(10.0, 12.0, 8.0, 11.0, 1.0, 0)?);
    println!("{:?}", v);
    Ok(())
}

Output:

Some(10.5)

(12 + 8 + 2·11) / 4 = 42 / 4 = 10.5. This matches the reference_value test in crates/wickra-core/src/indicators/weighted_close.rs.

Python

import numpy as np
import wickra as ta

wc = ta.WeightedClose()
print(wc.batch(np.array([12.0]), np.array([8.0]), np.array([11.0])))

Output:

[10.5]

Node

const ta = require('wickra');
const wc = new ta.WeightedClose();
console.log(wc.batch([12], [8], [11]));

Output:

[ 10.5 ]

Interpretation

The weighted close sits on the spectrum between the raw close and the TypicalPrice: closer to the close, but still nudged by the bar's range. Use it as a drop-in close replacement when you want the settlement to dominate without ignoring the extremes entirely.

Common pitfalls

• Feeding it scalar prices. It needs the full high/low/close bar.

References

The Weighted Close; the (H + L + 2C) / 4 definition is standard (TA-Lib's WCLPRICE).

See also

• Indicator-TypicalPrice — (H + L + C) / 3.
• Indicator-MedianPrice — (H + L) / 2.
• Indicators-Overview — the full taxonomy.