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Choppiness Index

Modern volatility trend-strength classic range

Determines if the market is trending (low values) or ranging/choppy (high values).

Visual Example

Choppiness Index — annotated preview mapping to core implementation

Synthetic ideal per library logic. Generated 2026-06-25 IST via docs/generate_all_previews.py (reproducible; maps to core Next<T> implementation).

Description

The Choppiness Index indicator is a technical analysis tool that determines if the market is trending (low values) or ranging/choppy (high values).

This indicator is primarily used for identifying key market conditions. It provides a robust signal that can be easily integrated into both simple strategies and more complex machine learning feature pipelines. Compared to its alternatives, it offers a distinct balance of responsiveness and stability.

Traders often combine this with other metrics to confirm signals and avoid false positives during sideways market regimes. It remains a standard tool for systematic trading models.

Use to determine whether a market is trending or choppy before selecting a trading strategy. Values above 61.8 indicate chop; values below 38.2 indicate a strong trend.

The Choppiness Index, developed by E.W. Dreiss, measures how much of the total ATR-based range is consumed by the actual net price move over N bars. A value near 100 means price wandered back and forth using all available range without net progress (maximum chop); near 0 means a straight directional move with minimal retracement. — StockCharts ChartSchool

QuantWave implements this indicator via the universal Next<T> trait, guaranteeing bit-identical results between Rust streaming, Python streaming, and Polars batch (.ta() / map_batches) surfaces.

Formula / Specification

Implementation (quantwave-core/src/indicators/choppiness_index.rs):

\[ CHOP = 100 \times \frac{\log_{10}(\sum_{i=1}^n ATR(1)_i / (\max(H, n) - \min(L, n)))}{\log_{10}(n)} \]

Gold-standard parity vectors: quantwave-core/tests/gold_standard/choppiness_index.json.

Parameters

Parameter Default Description
period 14 Lookback period

Usage Examples

Streaming (Rust)

use quantwave_core::indicators::CHOPPINESS_INDEX;
use quantwave_core::traits::Next;

let mut ind = CHOPPINESS_INDEX::new(14);
for price in &prices {
    let value = ind.next(price);
}

Streaming (Python)

from quantwave import CHOPPINESS_INDEX

ind = CHOPPINESS_INDEX(14)
for price in prices:
    value = ind.next(price)

Polars Batch (Python)

import polars as pl
import quantwave as qw

def apply_choppiness_index(series: pl.Series) -> pl.Series:
    ind = qw.CHOPPINESS_INDEX(14)
    return pl.Series([ind.next(float(v)) for v in series.to_list()])

df = (
    pl.read_csv('ohlcv.csv')
    .lazy()
    .with_columns(
        pl.col("close").map_batches(apply_choppiness_index, return_dtype=pl.Float64).alias("choppiness_index")
    )
    .collect()
)

All surfaces are bit-identical via the single Next<T> implementation and proptests.

Edge Cases & Limitations

  • Warm-up: first 14 bars may return NaN or partial state per implementation.
  • Parameter sensitivity: smaller periods increase noise; larger periods increase lag.
  • Sudden gaps or bad ticks can distort rolling windows — consider pre-filtering.
  • Single-series indicators ignore volume unless otherwise documented.
  • Validated via proptests against gold-standard vectors where available.
  • No look-ahead bias; streaming and Polars batch paths are bit-identical.

Boundary Behavior

Condition Behavior
Warm-up Leading bars return NaN until warmup_bars is satisfied.
period > len When period exceeds series length, output is all NaN.
NaN inputs NaN in input propagates to output (NaN out).
Invalid params Non-positive period or missing required params raise ValueError.
Empty data Empty input returns an empty result series.

Sources & References

Primary Source: https://www.tradingview.com/support/solutions/43000501980-choppiness-index-chop/

Implementation: quantwave-core/src/indicators/choppiness_index.rs (CHOPPINESS_INDEX / CHOPPINESS_INDEX_METADATA). Parity: quantwave-core/tests/gold_standard/choppiness_index.json

Provenance: Standards bulk upgrade 2026-06-25 IST — see docs/DOCUMENTATION_STANDARDS.md.