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Strategi EMA yang lebih dari sekedar melihat harga
Anda tahu, kebanyakan orang hanya melihat harga dengan EMA, tapi di mana kehebatan strategi ini? Ini dapat menghitung EMA dari 6 sumber data yang berbeda! Ini seperti memasak dengan tidak hanya menggunakan rasa garam, tetapi juga gula, garam, dan minyak zaitun, memberi Anda sinyal perdagangan yang lebih kaya.
6 sumber data ini adalah: harga rata-rata, volume transaksi, tingkat perubahan, harga rata-rata K-line, volume transaksi rata-rata K-line, tingkat perubahan rata-rata K-line. Masing-masing memiliki wawasan pasar yang berbeda!
Sistem Penyaringan Triple: Menciptakan Sinyal yang Lebih Akurat
Strategi ini bukan untuk memberi sinyal sembarangan!
Pertama: EMA menilai tren 📈 Seperti melihat ramalan cuaca, untuk menentukan apakah cuaca cerah atau hujan.
Cara kedua: Filter intensitas ADX 💪
ADX seperti alat pengukur angin, hanya memberi sinyal jika tren cukup kuat (default 25 atau lebih).
Jalan Ketiga: Konfirmasi Transaksi 🔊 Pertumbuhan penjualan seperti saham yang “berbicara keras”, menunjukkan bahwa sinyal ini serius, bukan lelucon.
Tiga Modus Keluar: Beradaptasi dengan Gaya Perdagangan Berbeda
Yang paling menarik, strategi ini memberikan tiga cara keluar, seperti permainan dengan tiga tingkat kesulitan: mudah, biasa, dan sulit:
Mode 1: sinyal mundur keluar 🔄 Sederhananya kasar, sinyal multihead datang lebih kosong, sinyal kosong datang lebih kosong
Mode 2: ATR Dinamis Stop Stop Loss 📏 Adaptasi otomatis berdasarkan volatilitas pasar, titik pelepasan stop loss saat volatilitas tinggi, titik pengetatan saat volatilitas rendah
Mode 3: Stop loss persentase tetap 📊 Lebih baik memahami, untung 2% akan lari, rugi 1.5% akan kalah (bisa disesuaikan)
Rekomendasi untuk penggunaan di medan perang
Periode berlakuPerdagangan jangka pendek dan menengah, sangat cocok untuk pasar yang berfluktuasi Panduan Menghindari PitPerhatian, ADX Filter Disarankan PerkembanganSaya tidak tahu apa yang harus dilakukan, tapi saya pikir itu akan menjadi lebih baik jika Anda bisa mendapatkan data dari sumber yang berbeda.
Keuntungan terbesar dari strategi ini adalah fleksibilitasnya, Anda dapat memilih sumber data dan mode keluar yang paling sesuai sesuai dengan situasi pasar yang berbeda. Ingat, tidak ada strategi yang sempurna, hanya strategi yang paling sesuai dengan pasar saat ini!
Kode Sumber Strategi
/*backtest
start: 2025-01-01 00:00:00
end: 2025-09-01 08:00:00
period: 2h
basePeriod: 2h
exchanges: [{"eid":"Futures_Binance","currency":"ETH_USDT","balance":500000}]
*/
//@version=5
//@fenyesk
strategy("EMA inFusion Pro - Source Selection", overlay=true, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=10)
// =============================================
// === INPUT PARAMETERS =======================
// =============================================
// Moving Average Source Selection
maSourceSelection = input.string("Price", "Moving Average Source",
options=["Price", "Volume", "Rate of Change", "Heikin Ashi Price", "Heikin Ashi Volume", "Heikin Ashi Rate of Change"],
tooltip="Select data source for EMA calculation")
// EMA Settings
emaLength = input.int(50, title="EMA Length", minval=1, maxval=200)
rocLength = input.int(1, title="Rate of Change Length", minval=1, maxval=50, tooltip="Length for ROC calculation")
// ADX Filter Settings
useAdxFilter = input.bool(true, title="Use ADX Filter", group="ADX Settings")
adxLength = input.int(14, title="ADX Length", minval=1, maxval=50, group="ADX Settings")
adxThreshold = input.float(25, title="ADX Threshold", minval=10, maxval=50, step=0.5, group="ADX Settings")
// Volume Spike Settings
useVolumeFilter = input.bool(true, title="Use Volume Spike Filter", group="Volume Settings")
volumeMultiplier = input.float(1.0, title="Volume Spike Multiplier", minval=1.0, maxval=5.0, step=0.1, group="Volume Settings")
volumeSmaLength = input.int(20, title="Volume SMA Length", minval=5, maxval=100, group="Volume Settings")
// Trading Exit Mode Selector
tradingMode = input.int(2, title="Trading Exit Mode", minval=1, maxval=3,
tooltip="1: Exit on reverse signal\n2: ATR based TP/SL\n3: Percent based TP/SL",
group="Exit Strategy")
// Mode 3: Percent-Based Settings
takeProfitPercent = input.float(2.0, title="Take Profit %", minval=0.1, maxval=10.0, step=0.1, group="Percent Exit")
stopLossPercent = input.float(1.5, title="Stop Loss %", minval=0.1, maxval=10.0, step=0.1, group="Percent Exit")
// Mode 2: ATR-Based Settings
atrLength = input.int(14, title="ATR Length", minval=1, maxval=50, group="ATR Exit")
atrMultiplierTp = input.float(4.0, title="ATR Take Profit Multiplier", minval=0.1, maxval=10.0, step=0.1, group="ATR Exit")
atrMultiplierSl = input.float(4.0, title="ATR Stop Loss Multiplier", minval=0.1, maxval=10.0, step=0.1, group="ATR Exit")
// =============================================
// === SOURCE CALCULATIONS ====================
// =============================================
// Rate of Change calculation
roc(src, length) =>
change = src - src[length]
src[length] != 0 ? (change / src[length] * 100) : 0
// Standard Rate of Change
rocPrice = roc(close, rocLength)
rocVolume = roc(volume, rocLength)
// Heikin Ashi calculations
haClose = (open + high + low + close) / 4
var float haOpen = na
haOpen := na(haOpen[1]) ? (open + close) / 2 : (haOpen[1] + haClose[1]) / 2
haHigh = math.max(high, math.max(haOpen, haClose))
haLow = math.min(low, math.min(haOpen, haClose))
// Heikin Ashi Rate of Change
haRocPrice = roc(haClose, rocLength)
haRocVolume = roc(volume, rocLength) // Volume remains same for HA
// Define EMA source based on selection
emaSource = switch maSourceSelection
"Price" => close
"Volume" => volume
"Rate of Change" => rocPrice
"Heikin Ashi Price" => haClose
"Heikin Ashi Volume" => volume // Volume doesn't change in HA
"Heikin Ashi Rate of Change" => haRocPrice
=> close // Default fallback
// =============================================
// === INDICATOR CALCULATIONS =================
// =============================================
// Core Indicators
emaValue = ta.ema(emaSource, emaLength)
[diPlus, diMinus, adx] = ta.dmi(adxLength, adxLength)
volumeSma = ta.sma(volume, volumeSmaLength)
volumeSpike = volume > (volumeSma * volumeMultiplier)
atrValue = ta.atr(atrLength)
// Trend Conditions (adjusted for different source types)
bullishTrend = switch maSourceSelection
"Price" => close > emaValue
"Heikin Ashi Price" => haClose > emaValue
"Volume" => volume > emaValue
"Heikin Ashi Volume" => volume > emaValue
"Rate of Change" => rocPrice > emaValue
"Heikin Ashi Rate of Change" => haRocPrice > emaValue
=> close > emaValue
bearishTrend = not bullishTrend
// Cross conditions (adjusted for source type)
emaCrossUp = switch maSourceSelection
"Price" => ta.crossover(close, emaValue)
"Heikin Ashi Price" => ta.crossover(haClose, emaValue)
"Volume" => ta.crossover(volume, emaValue)
"Heikin Ashi Volume" => ta.crossover(volume, emaValue)
"Rate of Change" => ta.crossover(rocPrice, emaValue)
"Heikin Ashi Rate of Change" => ta.crossover(haRocPrice, emaValue)
=> ta.crossover(close, emaValue)
emaCrossDown = switch maSourceSelection
"Price" => ta.crossunder(close, emaValue)
"Heikin Ashi Price" => ta.crossunder(haClose, emaValue)
"Volume" => ta.crossunder(volume, emaValue)
"Heikin Ashi Volume" => ta.crossunder(volume, emaValue)
"Rate of Change" => ta.crossunder(rocPrice, emaValue)
"Heikin Ashi Rate of Change" => ta.crossunder(haRocPrice, emaValue)
=> ta.crossunder(close, emaValue)
// Filters
strongTrend = useAdxFilter ? adx >= adxThreshold : true
volumeConfirm = useVolumeFilter ? volumeSpike : true
// Entry Signals
longCondition = emaCrossUp and strongTrend and volumeConfirm
shortCondition = emaCrossDown and strongTrend and volumeConfirm
// =============================================
// === STRATEGY EXECUTION WITH EXIT MODES =====
// =============================================
// MODE 1: EXIT ON REVERSE SIGNAL
if (tradingMode == 1)
if (longCondition)
strategy.entry("Long", strategy.long)
strategy.close("Short")
if (shortCondition)
strategy.entry("Short", strategy.short)
strategy.close("Long")
// MODE 2: ATR-BASED TAKE PROFIT & STOP LOSS
else if (tradingMode == 2)
if (longCondition)
strategy.entry("Long", strategy.long)
strategy.exit("Long TP/SL", "Long",
profit=atrMultiplierTp * atrValue / syminfo.mintick,
loss=atrMultiplierSl * atrValue / syminfo.mintick)
if (shortCondition)
strategy.entry("Short", strategy.short)
strategy.exit("Short TP/SL", "Short",
profit=atrMultiplierTp * atrValue / syminfo.mintick,
loss=atrMultiplierSl * atrValue / syminfo.mintick)
// MODE 3: PERCENT-BASED TAKE PROFIT & STOP LOSS
else if (tradingMode == 3)
if (longCondition)
longTpPrice = close * (1 + takeProfitPercent / 100)
longSlPrice = close * (1 - stopLossPercent / 100)
strategy.entry("Long", strategy.long)
strategy.exit("Long TP/SL", "Long", limit=longTpPrice, stop=longSlPrice)
if (shortCondition)
shortTpPrice = close * (1 - takeProfitPercent / 100)
shortSlPrice = close * (1 + stopLossPercent / 100)
strategy.entry("Short", strategy.short)
strategy.exit("Short TP/SL", "Short", limit=shortTpPrice, stop=shortSlPrice)
// =============================================
// === VISUALIZATIONS =========================
// =============================================
// Plot EMA with dynamic color based on source type
emaColor = switch maSourceSelection
"Price" => color.blue
"Volume" => color.orange
"Rate of Change" => color.purple
"Heikin Ashi Price" => color.green
"Heikin Ashi Volume" => color.red
"Heikin Ashi Rate of Change" => color.maroon
=> color.blue
plot(emaValue, title="EMA", color=emaColor, linewidth=2)
// Plot source data for reference (in separate pane when not price-based)
sourceColor = maSourceSelection == "Price" or maSourceSelection == "Heikin Ashi Price" ? na : color.gray
plot(str.contains(maSourceSelection, "Price") ? na : emaSource, title="Source Data", color=sourceColor)
// Background color based on trend
bgcolor(bullishTrend ? color.new(color.green, 95) : color.new(color.red, 95), title="Trend Background")
// Entry signals
plotshape(longCondition, title="Long Signal", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small)
plotshape(shortCondition, title="Short Signal", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small)
// Volume spikes
plotchar(useVolumeFilter and volumeSpike, title="Volume Spike", char="V", location=location.bottom, color=color.orange, size=size.tiny)
// ATR-based levels for Mode 2
plot(tradingMode == 2 and strategy.position_size > 0 ? strategy.position_avg_price + (atrMultiplierTp * atrValue) : na,
title="Long TP Level", color=color.green, style=plot.style_circles, linewidth=1)
plot(tradingMode == 2 and strategy.position_size > 0 ? strategy.position_avg_price - (atrMultiplierSl * atrValue) : na,
title="Long SL Level", color=color.red, style=plot.style_circles, linewidth=1)
plot(tradingMode == 2 and strategy.position_size < 0 ? strategy.position_avg_price - (atrMultiplierTp * atrValue) : na,
title="Short TP Level", color=color.green, style=plot.style_circles, linewidth=1)
plot(tradingMode == 2 and strategy.position_size < 0 ? strategy.position_avg_price + (atrMultiplierSl * atrValue) : na,
title="Short SL Level", color=color.red, style=plot.style_circles, linewidth=1)
// Alert conditions
alertcondition(longCondition, title="Long Entry", message="EMA Fusion Pro: Long entry signal")
alertcondition(shortCondition, title="Short Entry", message="EMA Fusion Pro: Short entry signal")