Indicator · Pine Script v6 · On the chart

WINS: Winsorized Mean Moving Average

by mihakralj

This indicator plots a winsorized mean moving average of the close on the price chart.

View on GitHub

GitHub stars47on the repository
Pine versionv6current
Lines of code49
Settings2inputs
LicenceMIT
Last update8 months ago28 Feb 2026

Add It to Your TradingView Chart

  1. 1Copy the scriptPress Copy script above, or the copy button on the code below.
  2. 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
  3. 3Paste over the templateCreate a new indicator, select all of the template text and paste. Press Save and give it a name.
  4. 4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.

Source Code

49 lines of Pine Script v6 from indicators/statistics/wins.pine, published under MIT. Keep the author's credit and licence lines when you reuse it.

wins.pine
// The MIT License (MIT)
// © mihakralj
//@version=6
indicator("WINS: Winsorized Mean Moving Average", shorttitle="WINS", overlay=true)

// @function Calculates the Winsorized Mean Moving Average.
//   Sorts the lookback window, then replaces (not discards) the lowest and
//   highest winPct% of values with the boundary values at the trim point.
//   This robust estimator reduces outlier influence while retaining the
//   full sample size (unlike trimmed mean which discards).
//   winPct=0 → SMA, winPct=50 → all values equal the median pair.
// @param src Series to smooth.
// @param period Window length. Must be >= 3.
// @param winPct Percentage of values to winsorize from each tail (0-49). Default 10.
// @returns The winsorized mean value.
wins(series float src, simple int period, simple int winPct) =>
    // Number of values to winsorize from each end
    int winCount = math.max(int(period * winPct / 100.0), 0)
    if winCount >= period / 2
        winCount := (period - 1) / 2

    // Collect values into array and sort
    float[] vals = array.new_float(period)
    for i = 0 to period - 1
        array.set(vals, i, nz(src[i]))
    array.sort(vals, order.ascending)

    // Replace tail values with boundary values
    float lowerBound = array.get(vals, winCount)
    float upperBound = array.get(vals, period - 1 - winCount)
    for i = 0 to winCount - 1
        array.set(vals, i, lowerBound)
        array.set(vals, period - 1 - i, upperBound)

    // Average all values (including replaced ones)
    float sum = 0.0
    for i = 0 to period - 1
        sum += array.get(vals, i)
    sum / period

// ── Inputs ──────────────────────────────────────────────
p = input.int(20, "Period", minval=3)
w = input.int(10, "Winsorize %", minval=0, maxval=49, tooltip="Percentage winsorized from each tail. 0=SMA")

// ── Calculation ─────────────────────────────────────────
result = wins(close, p, w)

// ── Plot ────────────────────────────────────────────────
plot(result, "WINS", color=color.yellow, linewidth=2)

Overview

Over a lookback window it sorts values, replaces the lowest and highest percentage of samples with the values at the trim boundaries, and averages the full window so outliers have less influence without dropping samples. Period sets the window length, and winsorize percent sets how much of each tail is replaced; zero percent matches a simple moving average. It does not generate entries, exits, or stops.

Details

Published by

mihakralj on GitHub

Type

Indicator, Pine Script v6

Draws

On the price chart

Category

Moving averages

Markets

Any symbol

Timeframes

Any timeframe

Risk Notes

No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.

Topics

pinescriptpinescript-indicatorstechnical-analysistradingview-indicators

Settings

The inputs you can change from the gear icon on the chart. Defaults are the author's.

SettingTypeDefaultVariable
Periodint20p
Winsorize %int10w
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.

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