Indicator · Pine Script v5 · On the chart

Kyle Algo v1

by turnupdigital

An indicator on the price chart that draws a ribbon of fifteen EMAs of the high, from 9 to 51 bars, coloured by whether the close is above each one when the energy option is on.

View on GitHub

GitHub stars1on the repository
Pine versionv5runs as is
Lines of code95
Settings5inputs
LicenceNone statedfile: MPL-2.0
Last update1 year ago12 Aug 2025

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

95 lines of Pine Script v5 from BuySellIndicators/BUYSELLSIGNALS/kylealgo.pine, published under MPL-2.0 (file header). Keep the author's credit and licence lines when you reuse it.

kylealgo.pine
//@version=5
// by kyle algo v1
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
indicator("kyle algo v1", overlay=true, precision=0, explicit_plot_zorder=true, max_labels_count=500)
// Get user input
sensitivity = input.float(2.8, "  Sensitivity (0.5 - 10)", 0.5, 10, step=0.1)
emaEnergy   = input.bool(true, "EMA Energy")
keltner_length = input(10, "Keltner Channel Length")
atrPeriod = input(10, "ATR Length")
factor = input.float(3.5, "Factor", step = 0.01)
// Keltner Channel function
keltner_channel(src, length) =>
    ma = ta.sma(src, length)
    rangec = high - low
    upper = ma + rangec
    lower = ma - rangec
    [upper, lower]

// Modified Supertrend function using Keltner Channel
supertrend(_src, factor, atrLen, kel_length) =>
    [upperKeltner, lowerKeltner] = keltner_channel(_src, kel_length)
    rangec = upperKeltner - lowerKeltner
    upperBand = _src + factor * rangec
    lowerBand = _src - factor * rangec
    prevLowerBand = nz(lowerBand[1])
    prevUpperBand = nz(upperBand[1])
    lowerBand := lowerBand > prevLowerBand or close[1] < prevLowerBand ? lowerBand : prevLowerBand
    upperBand := upperBand < prevUpperBand or close[1] > prevUpperBand ? upperBand : prevUpperBand
    int direction = na
    float superTrend = na
    prevSuperTrend = superTrend[1]

    if na(rangec[1])
        direction := 1
    else if prevSuperTrend == prevUpperBand
        direction := close > upperBand ? -1 : 1
    else
        direction := close < lowerBand ? 1 : -1
    superTrend := direction == -1 ? lowerBand : upperBand
    [superTrend, direction]
// Get Components
ema1        = ta.ema(high,  9)
ema2        = ta.ema(high, 12)
ema3        = ta.ema(high, 15)
ema4        = ta.ema(high, 18)
ema5        = ta.ema(high, 21)
ema6        = ta.ema(high, 24)
ema7        = ta.ema(high, 27)
ema8        = ta.ema(high, 30)
ema9        = ta.ema(high, 33)
ema10        = ta.ema(high, 36)
ema11        = ta.ema(high, 39)
ema12       = ta.ema(high, 42)
ema13       = ta.ema(high, 45)
ema14        = ta.ema(high, 48)
ema15        = ta.ema(high, 51)
// Colors
green       = #2BBC4D, red     = #C51D0B
emaEnergyColor(ma) => emaEnergy ? (close >= ma ? green : red) : na
// Plots
plot(ema1, "", emaEnergyColor(ema1), editable=false)
plot(ema2, "", emaEnergyColor(ema2), editable=false)
plot(ema3, "", emaEnergyColor(ema3), editable=false)
plot(ema4, "", emaEnergyColor(ema4), editable=false)
plot(ema5, "", emaEnergyColor(ema5), editable=false)
plot(ema6, "", emaEnergyColor(ema6), editable=false)
plot(ema7, "", emaEnergyColor(ema7), editable=false)
plot(ema8, "", emaEnergyColor(ema8), editable=false)
plot(ema9, "", emaEnergyColor(ema9), editable=false)
plot(ema10, "", emaEnergyColor(ema10), editable=false)
plot(ema11, "", emaEnergyColor(ema11), editable=false)
plot(ema12, "", emaEnergyColor(ema12), editable=false)
plot(ema13, "", emaEnergyColor(ema13), editable=false)
plot(ema14, "", emaEnergyColor(ema14), editable=false)
plot(ema15, "", emaEnergyColor(ema15), editable=false)
[supertrend, direction] = supertrend(close, sensitivity, 11, keltner_length)
bull = ta.crossover(close, supertrend)
bear = ta.crossunder(close, supertrend)
y1 = low - (ta.atr(30) * 2)
y2 = high + (ta.atr(30) * 2)
buy  = bull ? label.new(bar_index, y1, "BUY", xloc.bar_index, yloc.price, green, label.style_label_up, color.white, size.normal) : na
sell = bear ? label.new(bar_index, y2, "SELL", xloc.bar_index, yloc.price, red, label.style_label_down, color.white, size.normal) : na
[supertrends, directions] = ta.supertrend(factor, atrPeriod)
bodyMiddle = plot((open + close) / 2, display=display.none)
// Trend Catcher Indicator (Example)
ema100 = ta.ema(close, 10)
ema200 = ta.ema(close, 20)
trendCatcher = ta.crossover(ema100, ema200) ? 1 : ta.crossunder(ema100, ema200) ? -1 : 0
trendColor = trendCatcher == 1 ? color.rgb(90, 23, 102) : na
barcolor(trendColor)
// Colored candles
barcolor(color = close > supertrends ? color.rgb(102, 255, 0) : color.rgb(255, 0, 0))
// 添加警報條件
alertcondition(bull, title="Buy", message="Buy!")
alertcondition(bear, title="Sell", message="Sell!")

Overview

A Supertrend variant based on a Keltner-style channel range, scaled by a sensitivity setting, generates BUY and SELL labels when the close crosses the trend line. The labels are placed using a 30 period ATR offset.

Details

Published by

turnupdigital on GitHub

Type

Indicator, Pine Script v5

Draws

On the price chart

Category

Trend, 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.

Settings

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

SettingTypeDefaultVariable
  Sensitivity (0.5 - 10)float2.8sensitivity
EMA EnergybooltrueemaEnergy
Keltner Channel Lengthint10keltner_length
ATR Lengthint10atrPeriod
Factorfloat3.5factor
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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