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wickra/docs/wiki/indicators/price-statistics/Indicator-TypicalPrice.md
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kingchenc d2f99efd78 F13c: restructure the indicator catalogue into eight families
The original taxonomy was four classical families plus a statistics group,
with the F1-F12 expansion slotted in as sub-categories. This regroups the
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  Moving Averages (12), Momentum Oscillators (13), Trend & Directional (9),
  Price Oscillators (5), Volatility & Bands (12), Trailing Stops (5),
  Volume (9), Price Statistics (7).

- Wiki: docs/wiki/indicators/ reorganised into eight family folders; all 71
  indicator pages moved with `git mv`. Every internal cross-link is
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cargo fmt + clippy (core/wickra/data/wasm/node) clean; 508 core tests,
25 data tests and 74 doctests green.
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3.4 KiB

TypicalPrice

Typical Price — the bar's (high + low + close) / 3, a single representative price per candle.

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; a smoother stand-in for the close.

Formula

TypicalPrice = (high + low + close) / 3

The typical price collapses a full OHLC bar to one number, giving the close no more weight than the two extremes. It is the price series that Cci and Mfi are defined on, and a common input to feed any close-driven indicator when you want the bar's range reflected in the value.

Parameters

TypicalPrice takes no parametersTypicalPrice::new() in Rust, wickra.TypicalPrice() in Python, new ta.TypicalPrice() in Node.

Inputs / Outputs

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

impl Indicator for TypicalPrice {
    type Input = Candle;
    type Output = f64;
    // update(&mut self, input: Candle) -> Option<f64>
}

TypicalPrice 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

TypicalPrice::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. tp.reset() only clears the is_ready flag; there is no rolling state to discard.

Examples

Rust

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

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let mut tp = TypicalPrice::new();
    let v = tp.update(Candle::new(9.0, 12.0, 6.0, 9.0, 1.0, 0)?);
    println!("{:?}", v);
    Ok(())
}

Output:

Some(9.0)

(12 + 6 + 9) / 3 = 9. This matches the reference_value test in crates/wickra-core/src/indicators/typical_price.rs.

Python

import numpy as np
import wickra as ta

tp = ta.TypicalPrice()
print(tp.batch(np.array([12.0]), np.array([6.0]), np.array([9.0])))

Output:

[9.]

Node

const ta = require('wickra');
const tp = new ta.TypicalPrice();
console.log(tp.batch([12], [6], [9]));

Output:

[ 9 ]

Interpretation

Use it wherever you would use the close but want the bar's range to count — feeding a moving average, an oscillator, or a band. It is marginally smoother than the raw close because a wild close is pulled back toward the bar's mid.

Common pitfalls

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

References

The Typical Price (also "pivot price"); the (H + L + C) / 3 definition is standard (StockCharts, TA-Lib's TYPPRICE).

See also