1. Persegi
2. MACD+EMA Multi-Timeframe Breakout Strategi

MACD+EMA Multi-Timeframe Breakout Strategi

Penulis:ChaoZhang, Tanggal: 2024-03-22 11:13:12
Tag:

---

---

/*backtest
start: 2023-03-16 00:00:00
end: 2024-03-21 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/


// 1) 전주와 전전주의 히스토그램의 차이를 계산하여, 매주 월요일에 매매 방향을 표시하고, 
// 2) 5일, 15일, 30일 선을 호출하여 평행하게 그리고, 매매 방향에 따라 
// 3) 분봉기준의 이동평균선 매매전략  
// 4) 수익 실현은 미설정 해둠 


//@version=5
strategy('Last week MACD+ 15day, 30day break through, by Ho.J', overlay=true, initial_capital=30000, commission_value = 7.5, commission_type=strategy.commission.cash_per_order, slippage = 0)

// 백테스팅 기간 설정
start_time = input(timestamp("Jan 19 2024 00:00:01"), confirm = true)
end_time = input(timestamp("MAR 19 2024 23:59:59"), confirm = true)
is_in_time = true
stopLoss = input.int(100, title="손절 수준")


// 지난주 값 불러오기 입력 매개변수, 1은 5일, 3은 15일, 6은 30일 이동평균선을 구하는 변수임
emaLength1 = input(1, title="EMA Length")
emaLength2 = input(3, title="EMA Length")
emaLength3 = input(6, title="EMA Length")
timeframePeriod = "W" // 'D'는 일간 데이터를 의미


// 분봉기준 EMA 계산
shortEMA = ta.ema(close, 50)
mediumEMA = ta.ema(close, 60)
longEMA = ta.ema(close, 150)


// 분봉기준 EMA 그리기
plot(shortEMA, color=color.blue, title="5일 EMA")
plot(mediumEMA, color=color.orange, title="15일 EMA")
plot(longEMA, color=color.red, title="30일 EMA")



// 주간 MACD 계산, 전주와 전전주 히스토그램을 계산하여 상대적인 상승, 하락을 계산 
[macdLine, signalLine, _] = ta.macd(close, 12, 26, 9)
histogram = macdLine - signalLine
histLastWeek = request.security(syminfo.tickerid, timeframePeriod, histogram[1], lookahead=barmerge.lookahead_on)
histWeekBeforeLast = request.security(syminfo.tickerid, timeframePeriod, histogram[2], lookahead=barmerge.lookahead_on)
histDiff = histLastWeek - histWeekBeforeLast


// 현재 주의 월요일 첫 봉인지 확인
isMondayFirstBar = (dayofweek == dayofweek.monday) and (hour == 09) and (minute == 00) // 여기서 시간은 시장 개장 시간에 따라 조정해야 함


// 월요일 첫봉에, 주간 MACD 히스토그램이 상승하면 '매수', 하락하면 '매도' 표시
var label myLabel = na
if (isMondayFirstBar)
    if (histDiff > 0)
        myLabel := label.new(bar_index, high, "이번주는 매수만", color=color.green, textcolor=color.white, style=label.style_label_down, size=size.large)
    else if (histDiff < 0)
        myLabel := label.new(bar_index, low, "이번주는 매도만", color=color.red, textcolor=color.white, style=label.style_label_up, size=size.large)


// 지난주 EMA 값 요청
// 'lookahead'를 사용하여 지난 데이터를 기준으로 계산
lastWeekEMA1 = request.security(syminfo.tickerid, timeframePeriod, ta.ema(close[1], emaLength1), lookahead=barmerge.lookahead_on)
lastWeekEMA2 = request.security(syminfo.tickerid, timeframePeriod, ta.ema(close[1], emaLength2), lookahead=barmerge.lookahead_on)
lastWeekEMA3 = request.security(syminfo.tickerid, timeframePeriod, ta.ema(close[1], emaLength3), lookahead=barmerge.lookahead_on)

// 지난주 EMA 그리기
plot(lastWeekEMA1, color=color.red, title="Last Week EMA1")
plot(lastWeekEMA2, color=color.rgb(157, 126, 126), title="Last Week EMA2")
plot(lastWeekEMA3, color=color.rgb(199, 192, 192), title="Last Week EMA3")


// 매수/매도 조건
buySignal = ta.crossover(close, lastWeekEMA2) and histDiff > 0
// addbuySignal = ta.crossover(close, lastWeekEMA3) and histDiff > 0

sellSignal = ta.crossunder(shortEMA, longEMA) and histDiff < 0
// addSellSignal = ta.crossunder(close, lastWeekEMA3) and histDiff < 0


// 매수 조건
if (buySignal)
    strategy.entry('Buy', strategy.long)
    alert('Buy Signal', alert.freq_once_per_bar_close)
	
// if (addbuySignal)
   // strategy.entry('Buy', strategy.long)
   // alert('add Buy Signal', alert.freq_once_per_bar_close)

if (strategy.position_size > 0 and ((strategy.position_avg_price - close) >= stopLoss) or ta.crossunder(close, mediumEMA))
    strategy.close('Buy')
    alert('Close Buy Signal', alert.freq_once_per_bar_close)

// 매도 조건
if (sellSignal)
    strategy.entry('Sell', strategy.short)
    alert('Sell Signal', alert.freq_once_per_bar_close)
	
//if (addSellSignal)
   // strategy.entry('Sell', strategy.short)
   // alert('add Sell Signal', alert.freq_once_per_bar_close)

if (strategy.position_size < 0 and ((close - strategy.position_avg_price) >= stopLoss) or ta.crossover(shortEMA, mediumEMA))
    strategy.close('Sell')
    alert('Close Sell Signal', alert.freq_once_per_bar_close)

---

• ATR Trend Breakout Strategi
• Strategi Perdagangan Crossover RSI dan Multiple Moving Averages
• Tren berdasarkan MA dan RSI Setelah Strategi Perdagangan Swing
• Bollinger Bands + EMA Trend Mengikuti Strategi
• Tren Mengikuti Strategi Berdasarkan Dual Moving Average Crossover dan Multi-Timeframe DMI Indicator
• Strategi Dukungan/Resistansi-Psikologi-Sumber Umpan Balik-Manajemen Uang
• Strategi Kuberan: Pendekatan Konfluensi untuk penguasaan pasar
• Strategi Penyaring Tren Pola Lilin
• Tren Rata-rata Bergerak Ganda Mengikuti Strategi
• Strategi Stop Loss dan Take Profit Dinamis Berdasarkan Stop Trailing ATR Ganda
• Keunggulan yang sempurna DCA Momentum dan Strategi Volatilitas
• Strategi Trading Trend Multi-Timeframe Berdasarkan MACD, ADX, dan EMA200
• RSI Strategi perdagangan dua arah dengan stop loss awal
• Strategi Stop Loss Target Panjang/Pendek yang Diprediksi Secara Otomatis Berdasarkan 9:15 Tinggi/Rendah
• Strategi SMC Menggabungkan MACD dan EMA
• Strategi Perdagangan XAUUSD yang Berbasis Multi-SMA dan MACD Dinamis
• Strategi perdagangan kuantitatif lintas rata-rata bergerak ganda
• EMA 200 Crossover dengan Strategi Volume dan Tren
• RSI Strategi Stop Loss dan Take Profit Dinamis
• Strategi Identifikasi Tren Lokal Awan Ichimoku