Saham: Papan Gerak Strategy By.…: Free TradingView Strategy (Pine Script)

Add It to Your TradingView Chart

1Copy the scriptPress Copy script above, or the copy button on the code below.
2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
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

160 lines of Pine Script v6 from src/strategies/PapanGerakStrategy.pine, published under MIT. Keep the author's credit and licence lines when you reuse it.

PapanGerakStrategy.pine

// @version=6
// Papan Gerak Strategy — Companion backtest script
// Author : Muhammad Akhmal (AKHMFZ)
// License: MIT
// ==========================================================
// Script terpisah dari indicator() — menggunakan strategy()
// untuk backtest di Strategy Tester bawaan TV.
//
// ⚠️  DISCLAIMER: Strategy ini adalah APPROKSIMASI dari scoring
// engine indikator Papan Gerak sebenarnya (03-scoring.pine).
// Perbedaan utama:
//   - Strategy hanya pakai 3 dimensi (Tren/Momentum/Volume),
//     sementara indikator asli pakai 4 (Tren/Momentum/Volatilitas/Volume)
//   - Strategy TIDAK menerapkan minSignalBars / signalFilterMode
//   - Bobot strategy terfiksasi (3:3:2); indikator asli bisa diatur user
//   - Tidak ada MTF filter / Smart Money di strategy
// Jangan jadikan win rate / return / profit factor di strategy tester
// sebagai representasi presisi sinyal entry indikator Papan Gerak.
// ==========================================================

strategy(
    "Saham: Papan Gerak Strategy By. Akhmfz",
    shorttitle = "PG Strategy",
    overlay = true,
    initial_capital = 100000000,
    default_qty_type = strategy.percent_of_equity,
    default_qty_value = 100,
    commission_type = strategy.commission.percent,
    commission_value = 0.15,
    slippage = 5
)

// ==========================================================
// 1. INPUTS (all with display.data_window)
// ==========================================================
emaFastPeriod = input.int(20, "EMA Fast", group = "Trend", display = display.data_window)
emaMidPeriod = input.int(50, "EMA Mid", group = "Trend", display = display.data_window)
emaSlowPeriod = input.int(200, "EMA Slow", group = "Trend", display = display.data_window)
superTrendFactor = input.float(3.0, "SuperTrend Factor", step = 0.1, group = "Trend", display = display.data_window)
superTrendPeriod = input.int(10, "SuperTrend ATR", group = "Trend", display = display.data_window)
adxLength = input.int(14, "ADX Length", group = "Trend", display = display.data_window)
adxThreshold = input.int(25, "ADX Threshold", group = "Trend", display = display.data_window)

atrLength = input.int(14, "ATR Length", group = "Momentum", display = display.data_window)
rsiLength = input.int(14, "RSI Length", group = "Momentum", display = display.data_window)
macdFast = input.int(12, "MACD Fast", group = "Momentum", display = display.data_window)
macdSlow = input.int(26, "MACD Slow", group = "Momentum", display = display.data_window)
macdSignal = input.int(9, "MACD Signal", group = "Momentum", display = display.data_window)
stochK = input.int(14, "Stochastic K", group = "Momentum", display = display.data_window)
stochD = input.int(3, "Stochastic D", group = "Momentum", display = display.data_window)
volMaLength = input.int(20, "Volume MA Length", group = "Volume", display = display.data_window)

slAtrMult = input.float(1.5, "SL ATR Multiplier", step = 0.1, group = "Risk", display = display.data_window)
targetRmult = input.float(2.0, "Target R-Multiple", step = 0.5, group = "Risk", display = display.data_window)

entryTriggerMode = input.string("Composite Score", "Entry Trigger",
 options = ["Composite Score", "Pullback", "Breakout"], group = "Entry", display = display.data_window)

// ==========================================================
// 2. TECHNICAL INDICATORS
// ==========================================================
emaFast = ta.ema(close, emaFastPeriod)
emaMid = ta.ema(close, emaMidPeriod)
emaSlow = ta.ema(close, emaSlowPeriod)
[superTrend, superTrendDir] = ta.supertrend(superTrendFactor, superTrendPeriod)
[adxUp, adxDn, adxValue] = ta.dmi(adxLength, adxLength)
adxStrong = adxValue >= adxThreshold

rsiValue = ta.rsi(close, rsiLength)
[macdLine, macdSignalLine, macdHist] = ta.macd(close, macdFast, macdSlow, macdSignal)
stochKVal = ta.stoch(close, high, low, stochK)
stochDVal = ta.sma(stochKVal, stochD)

atrValue = ta.atr(atrLength)

// ==========================================================
// 3. SIMPLIFIED SCORING
// ==========================================================
f_scoreHigher(val, min, max) =>
    na(val) ? na : math.max(0, math.min(100, (val - min) / (max - min) * 100))

emaPos = close > emaFast ? (close > emaMid ? (close > emaSlow ? 100 : 66) : 33) : 0
stScore = superTrendDir == 1 ? 100 : 0
adxScore = adxStrong ? (adxUp > adxDn ? 80 : 20) : 50
trendScore = (emaPos * 3 + stScore * 2 + adxScore * 2) / 7

rsiScore = f_scoreHigher(rsiValue, 30, 70)
macdBull = macdLine > macdSignalLine
macdScore = macdBull ? (macdHist > macdHist[1] ? 80 : 60) : (macdHist > macdHist[1] ? 40 : 20)
stochScore = f_scoreHigher(stochKVal, 20, 80)
momentumScore = (rsiScore * 3 + macdScore * 3 + stochScore * 2) / 8

volMA = ta.sma(volume, volMaLength)
volRatio = volMA > 0 ? volume / volMA : 0
volScore = f_scoreHigher(volRatio, 0.2, 3.0)

overallScore = (trendScore * 3 + momentumScore * 3 + volScore * 2) / 8

// ==========================================================
// 4. ENTRY TRIGGERS
// ==========================================================
currentZone = na(overallScore) ? -1 : (overallScore >= 70 ? 2 : overallScore >= 40 ? 1 : 0)
var int prevZone = -1
zoneChanged = prevZone >= 0 and currentZone >= 0 and currentZone != prevZone
if zoneChanged
    prevZone := currentZone

nearEma = not na(emaFast) and not na(atrValue) and math.abs(close - emaFast) <= atrValue * 1.5
rsiRecover = not na(rsiValue) and rsiValue <= 50 and ta.rising(rsiValue, 1)

recentHigh = ta.highest(high, 20)
recentLow = ta.lowest(low, 20)

csTrigger = zoneChanged
pbTrigger = not na(trendScore) and trendScore >= 65 and nearEma and rsiRecover
boTrigger = not na(volScore) and volScore >= 60 and (close >= recentHigh or close <= recentLow)

entryTriggered = entryTriggerMode == "Composite Score" ? csTrigger
 : entryTriggerMode == "Pullback" ? pbTrigger : boTrigger

signalDir = entryTriggerMode == "Composite Score"
 ? (currentZone > prevZone ? 1 : -1)
 : entryTriggerMode == "Pullback" ? 1
 : (close >= recentHigh ? 1 : -1)

// ==========================================================
// 5. EXECUTION
// ==========================================================
if entryTriggered and strategy.position_size == 0
    riskAmt = atrValue * slAtrMult
    slPrice = close - riskAmt * signalDir
    tgtPrice = close + riskAmt * targetRmult * signalDir
    strategy.entry("PG", signalDir > 0 ? strategy.long : strategy.short)
    strategy.exit("PG-X", "PG", stop = slPrice, limit = tgtPrice)

// ==========================================================
// 6. DISPLAY
// ==========================================================
if barstate.islast
    tbl = table.new(position.top_right, 2, 5, border_width = 1,
     bgcolor = color.rgb(13, 22, 30, 90))
    table.cell(tbl, 0, 0, "PG STRATEGY", text_size = size.small,
     text_color = color.rgb(38, 166, 154), bgcolor = color.rgb(0, 0, 0, 85))
    info1 = "Mode: " + entryTriggerMode + " | Trades: " + str.tostring(strategy.closedtrades)
    table.cell(tbl, 0, 1, info1, text_size = size.small, text_color = color.white)
    winRate = strategy.closedtrades > 0
     ? str.tostring(math.round(strategy.wintrades / strategy.closedtrades * 100)) + "%"
     : "—"
    table.cell(tbl, 0, 2, "Win Rate: " + winRate, text_size = size.small, text_color = color.white)
    pf = strategy.closedtrades > 0
     ? str.tostring(math.round(strategy.profitfactor * 10) / 10) : "—"
    table.cell(tbl, 0, 3, "Profit Factor: " + pf, text_size = size.small, text_color = color.white)
    netPct = strategy.netprofit / strategy.initial_capital * 100
    netStr = str.tostring(math.round(netPct * 10) / 10) + "%"
    table.cell(tbl, 0, 4, "Return: " + netStr, text_size = size.small,
     text_color = netPct >= 0 ? color.rgb(38, 166, 154) : color.rgb(239, 83, 80))

plot(overallScore, "Score", color.rgb(38, 166, 154, 80), 2)
hline(70, "OB", color.rgb(239, 83, 80, 50), hline.style_dashed)
hline(40, "OS", color.rgb(38, 166, 154, 50), hline.style_dashed)

Overview

Saham: Papan Gerak Strategy By. Akhmfz supports three entry trigger modes: Composite Score, Pullback, and Breakout, with fixed weights across trend, momentum, and volume dimensions. Risk is managed using ATR-based stop loss and risk multiples for targets. It draws signals and indicators directly on the price chart as an overlay. The main input settings adjust periods and thresholds for each indicator group. Position sizing uses 100 percent of equity with commission and slippage applied. It is an approximation of the full Papan Gerak dashboard scoring engine and lacks certain filters found in the indicator version.

Composite Score Entry
ATR Stop Loss
SuperTrend Trend Filter
ADX Trend Strength
Multi-Indicator Momentum

Details

Published by

akhmfz on GitHub

Type

Strategy, Pine Script v6

Draws

On the price chart

Markets

Stocks

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.

File

src/strategies/PapanGerakStrategy.pine

Repository

github.com/akhmfz/papan-gerak. See its other scripts in the library

Settings

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

Setting	Type	Default	Variable
EMA Fast	`int`	`20`	`emaFastPeriod`
EMA Mid	`int`	`50`	`emaMidPeriod`
EMA Slow	`int`	`200`	`emaSlowPeriod`
SuperTrend Factor	`float`	`3.0`	`superTrendFactor`
SuperTrend ATR	`int`	`10`	`superTrendPeriod`
ADX Length	`int`	`14`	`adxLength`
ADX Threshold	`int`	`25`	`adxThreshold`
ATR Length	`int`	`14`	`atrLength`
RSI Length	`int`	`14`	`rsiLength`
MACD Fast	`int`	`12`	`macdFast`
MACD Slow	`int`	`26`	`macdSlow`
MACD Signal	`int`	`9`	`macdSignal`

Show all 18 settings

Setting	Type	Default	Variable
Stochastic K	`int`	`14`	`stochK`
Stochastic D	`int`	`3`	`stochD`
Volume MA Length	`int`	`20`	`volMaLength`
SL ATR Multiplier	`float`	`1.5`	`slAtrMult`
Target R-Multiple	`float`	`2.0`	`targetRmult`
Entry Trigger	`string`	`Composite Score`	`entryTriggerMode`

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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