Strategy · Pine Script v5 · On the chart

Gold Digger AI

by IAMATOMIC001

This strategy executes gap breakout entries directly on the price chart, opening long positions when the current open exceeds the prior high and short positions when the open drops below the prior low.

View on GitHub

GitHub stars3on the repository
Pine versionv5runs as is
Lines of code223
Settings6inputs
LicenceNone statedfile: MPL-2.0
Last update12 months ago31 Oct 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 strategy, select all of the template text and paste. Press Save and give it a name.
  4. 4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.

Source Code

223 lines of Pine Script v5 from Strategy/GOLD DIGGER .pine, published under MPL-2.0 (file header). Keep the author's credit and licence lines when you reuse it.

GOLD DIGGER .pine
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/

//@version=5

strategy("Gold Digger AI", overlay=true, precision=0, explicit_plot_zorder=true, max_labels_count=500)

if open > high[1]
    strategy.entry("enter long", strategy.long, 1) // enter long by market if current open great then previous high
if open < low[1]
    strategy.entry("enter short", strategy.short, 1) // enter short by market if current open less then previous low
// Get user input


// Get user input

sensitivity = input.float(4, "Sensitivity (0.5 - 4)", 0.5, 4, step=0.1)

emaCloud    = input.bool(false, "EMA Cloud")

suppRes     = input.bool(false, "Support & Resistance")

breaks      = input.bool(false, "Breaks")

usePsar     = input.bool(false, "PSAR")

emaEnergy   = input.bool(true, "EMA Energy")

// Functions

supertrend(_src, factor, atrLen) =>

    atr = ta.atr(atrLen)

    upperBand = _src + factor * atr

    lowerBand = _src - factor * atr

    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(atr[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

ocAvg       = math.avg(open, close)

ema1        = ta.ema(high, 9)

ema2        = ta.ema(high, 12)

ema3        = ta.ema(high, 15)

ema4        = ta.ema(high, 18)

sma1        = ta.sma(close, 5)

sma2        = ta.sma(close, 6)

sma3        = ta.sma(close, 7)

sma4        = ta.sma(close, 8)

sma5        = ta.sma(close, 9)

sma6        = ta.sma(close, 10)

sma7        = ta.sma(close, 11)

sma8        = ta.sma(close, 12)

sma9        = ta.sma(close, 13)

sma10       = ta.sma(close, 14)

sma11       = ta.sma(close, 15)

sma12       = ta.sma(close, 16)

sma13       = ta.sma(close, 17)

sma14       = ta.sma(close, 18)

sma15       = ta.sma(close, 19)

sma16       = ta.sma(close, 20)

psar        = ta.sar(0.02, 0.02, 0.2)

[supertrend, direction] = supertrend(close, sensitivity, 11)

barsL       = 10

barsR       = 10

pivotHigh = fixnan(ta.pivothigh(barsL, barsR)[1])

pivotLow = fixnan(ta.pivotlow(barsL, barsR)[1])

// Colors

green       = #0290f6, green2   = #0290f6

red         = #cf2dfc, red2     = #cf2dfc

emaCloudColor = emaCloud ? (close > supertrend ? #0290f6 : #cf2dfc) : na

emaEnergyColor(ma) => emaEnergy ? (close >= ma ? green : red) : na

// Plots

p1 = plot(ema1, "", na, editable=false)

p2 = plot(ema2, "", emaCloudColor, editable=false)

p3 = plot(ema3, "", emaCloudColor, editable=false)

p4 = plot(ema4, "", na, editable=false)

fill(p1, p2, emaCloud ? (ema2 > ema3 ? color.new(#cf2dfc, 80) : color.new(#0290f6, 80)) : na)

fill(p4, p3, emaCloud ? (ema2 < ema3 ? color.new(#cf2dfc, 80) : color.new(#0290f6, 80)) : na)

fill(p2, p3, emaCloud ? color.new(emaCloudColor, 35) : na)

plot(sma1, "", emaEnergyColor(sma1), editable=false)

plot(sma2, "", emaEnergyColor(sma2), editable=false)

plot(sma3, "", emaEnergyColor(sma3), editable=false)

plot(sma4, "", emaEnergyColor(sma4), editable=false)

plot(sma5, "", emaEnergyColor(sma5), editable=false)

plot(sma6, "", emaEnergyColor(sma6), editable=false)

plot(sma7, "", emaEnergyColor(sma7), editable=false)

plot(sma8, "", emaEnergyColor(sma8), editable=false)

plot(sma9, "", emaEnergyColor(sma9), editable=false)

plot(sma10, "", emaEnergyColor(sma10), editable=false)

plot(sma11, "", emaEnergyColor(sma11), editable=false)

plot(sma12, "", emaEnergyColor(sma12), editable=false)

plot(sma13, "", emaEnergyColor(sma13), editable=false)

plot(sma14, "", emaEnergyColor(sma14), editable=false)

plot(sma15, "", emaEnergyColor(sma15), editable=false)

plot(sma16, "", emaEnergyColor(sma16), editable=false)

barcolor(close > supertrend ? #0290f6 : red2)

p5 = plot(ocAvg, "", na, editable=false)

p6 = plot(psar, "PSAR", usePsar ? (psar < ocAvg ? green : red) : na, 1, plot.style_circles, editable=false)

fill(p5, p6, usePsar ? (psar < ocAvg ? color.new(green, 90) : color.new(red, 90)) : na, editable=false)

y1 = low - (ta.atr(30) * 2)

y2 = high + (ta.atr(30) * 2)

bull = ta.crossover(close, supertrend) and close >= sma9

bear = ta.crossunder(close, supertrend) and close <= sma9

buy  = bull ? label.new(bar_index, y1, "BUY", xloc.bar_index, yloc.price, #0290f6, label.style_label_up, color.white, size.normal) : na

sell = bear ? label.new(bar_index, y2, "SELL", xloc.bar_index, yloc.price, red2, label.style_label_down, color.white, size.normal) : na

plot(pivotHigh, "Resistance", not suppRes or ta.change(pivotHigh) ? na : red, 2, offset=-(barsR + 1), editable=false)

plot(pivotLow, "Support", not suppRes or ta.change(pivotLow) ? na : green, 2, offset=-(barsR + 1), editable=false)

plotshape(breaks and ta.crossover(close, pivotHigh), "Break", shape.labelup, location.belowbar, green, 0, "B", color.white, false, size.small)

plotshape(breaks and ta.crossunder(close, pivotLow), "Break", shape.labeldown, location.abovebar, red, 0, "B", color.white, false, size.small)

// Alerts

alertcondition(bull or bear or ta.crossover(close, pivotHigh) or ta.crossunder(close, pivotLow), "Alert Any", "AI Signals Gold\nAlert Triggered on {{ticker}} @ {{close}}")

alertcondition(bull, "Alert Buy", "AI Signals Gold\nBuy {{ticker}} @ {{close}}")

alertcondition(bear, "Alert Sell", "AI Signals Gold\nSell {{ticker}} @ {{close}}")

alertcondition(ta.crossover(close, pivotHigh), "Broke Resistance", "AI Signals Gold\nBroke Resistance on {{ticker}} @ {{close}}")

alertcondition(ta.crossunder(close, pivotLow), "Broke Support", "AI Signals Gold\nBroke Support on {{ticker}} @ {{close}}")


// ==========================================================================================

Overview

Gold Digger AI overlays a custom Supertrend filter, an EMA cloud, a Parabolic SAR, pivot levels, and a multi-SMA energy ribbon across sixteen periods. Strategy entries operate independently of the plotted visual indicators and do not include stop-loss, take-profit, or dedicated exit rules.

Details

Published by

IAMATOMIC001 on GitHub

Type

Strategy, Pine Script v5

Draws

On the price chart

Category

Breakout, Moving averages, Trend

Markets

Gold

Timeframes

Any timeframe

Risk Notes

  • The strategy enters trades without a stop loss

Settings

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

SettingTypeDefaultVariable
Sensitivity (0.5 - 4)float4sensitivity
EMA CloudboolfalseemaCloud
Support & ResistanceboolfalsesuppRes
Breaksboolfalsebreaks
PSARboolfalseusePsar
EMA EnergybooltrueemaEnergy
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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