The original taxonomy was four classical families plus a statistics group, with the F1-F12 expansion slotted in as sub-categories. This regroups the whole 71-indicator catalogue into eight top-level families, each with at least five members: 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 normalised to `../<family>/Indicator-X.md`, each page's `Family` field is set to its new family, and two pre-existing `../Indicator-Chaining.md` links (should have been `../../`) are corrected. A link check confirms every relative wiki link resolves. - Indicators-Overview.md fully rewritten around the eight families; Home.md indicator reference and the README family table follow suit. - Warmup-Periods.md gains the eight F13 indicators; CHANGELOG records the 46-indicator expansion (25 -> 71) and the eight-family taxonomy. - Tests: Node indicators.test.js and Python test_new_indicators.py cover all eight new indicators (Node 91/91, Python 117/117 green). cargo fmt + clippy (core/wickra/data/wasm/node) clean; 508 core tests, 25 data tests and 74 doctests green.
4.8 KiB
DPO
Detrended Price Oscillator — removes the trend from price by comparing a shifted past price to the moving average, exposing the underlying cycle.
Quick reference
| Field | Value |
|---|---|
| Family | Price Oscillators |
| Input type | f64 (single close) |
| Output type | f64 |
| Output range | unbounded around zero (price-difference scale) |
| Default parameters | period = 20 (Python) |
| Warmup period | max(period, period / 2 + 2) |
| Interpretation | Detrended price; peak-to-peak spacing reveals the cycle length. |
Formula
shift = period / 2 + 1
DPO_t = price_{t − shift} − SMA(period)_t
A normal oscillator compares price to a current average and therefore
still carries the trend. DPO instead subtracts the average from a price
taken period / 2 + 1 bars back — roughly half a cycle. The dominant
trend cancels, and what is left swings around zero with the same period
as the price's shorter cycles, so the distance between DPO peaks reads off
the cycle length directly.
DPO is not a momentum or signal indicator: by construction it is shifted into the past and is not meant to track the latest bar.
Parameters
| Name | Type | Default | Valid range | Description |
|---|---|---|---|---|
period |
usize |
20 (Python) |
>= 1 |
SMA length; also sets the look-back shift = period / 2 + 1. 0 errors with Error::PeriodZero. |
The Python binding defaults period to 20. The derived shift is
exposed as a read-only property.
Inputs / Outputs
From crates/wickra-core/src/indicators/dpo.rs:
impl Indicator for Dpo {
type Input = f64;
type Output = f64;
// update(&mut self, input: f64) -> Option<f64>
}
A single f64 close in, an Option<f64> out. Python maps this to
float | None / numpy.ndarray (NaN warmup); Node to number | null /
Array<number> (NaN warmup).
Warmup
warmup_period() == max(period, period / 2 + 2). The output needs both a
full period-bar SMA window and a price shift bars back; the indicator
becomes ready once the rolling window holds enough bars for both. For the
usual period >= 4 this simplifies to period.
Edge cases
- Constant series. On a flat series the shifted price equals the SMA,
so DPO is
0(constant_series_yields_zeropins this). - NaN / infinity inputs. Non-finite inputs are silently dropped; the window is not advanced.
- Reset.
dpo.reset()clears the window and the rolling sum.
Examples
Rust
use wickra::{BatchExt, Indicator, Dpo};
fn main() -> Result<(), Box<dyn std::error::Error>> {
let mut dpo = Dpo::new(4)?;
let out: Vec<Option<f64>> = dpo.batch(&[1.0, 2.0, 3.0, 4.0, 5.0, 6.0]);
println!("{:?}", out);
println!("shift = {}, warmup_period = {}", dpo.shift(), dpo.warmup_period());
Ok(())
}
Output:
[None, None, None, Some(-1.5), Some(-1.5), Some(-1.5)]
shift = 3, warmup_period = 4
DPO(4) has shift = 3. At input 4 the SMA of [1,2,3,4] is 2.5 and
the price 3 bars back is 1, giving 1 − 2.5 = −1.5. On a pure ramp the
detrended value is constant. This matches the reference_values test in
crates/wickra-core/src/indicators/dpo.rs.
Python
import numpy as np
import wickra as ta
dpo = ta.DPO(4)
print(dpo.batch(np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0])))
Output:
[ nan nan nan -1.5 -1.5 -1.5]
Node
const ta = require('wickra');
const dpo = new ta.DPO(4);
console.log(dpo.batch([1, 2, 3, 4, 5, 6]));
Output:
[ NaN, NaN, NaN, -1.5, -1.5, -1.5 ]
Interpretation
Dpo is a cycle-measurement tool, not a trading trigger. Read it for the
spacing of its peaks and troughs: regular spacing reveals the dominant
cycle length, which you can then feed back into the periods of other
indicators. Crossing zero is not a signal — because the series is shifted
into the past, the latest DPO value does not correspond to the latest bar.
Common pitfalls
- Trading the zero cross. DPO is detrended and time-shifted; its latest value is historical. Use it to size cycles, not to time entries.
- Reading it as momentum. It is a detrended price, not a rate of
change — see
RocorMomfor momentum.
References
The Detrended Price Oscillator is a standard cycle-analysis study; the
period / 2 + 1 look-back shift used here matches the common definition
(StockCharts, TA-Lib-compatible implementations).
See also
- Indicator-Sma.md — the moving average DPO detrends against.
- Indicator-Roc.md — momentum, the indicator DPO is often confused with.
- Indicators-Overview.md — the full taxonomy.