
Strategi ini adalah strategi perdagangan kuantitatif MACD reverse biner. Strategi ini mengambil dari indikator teknis yang dijelaskan oleh William Blau dalam bukunya, Momentum, Direction and Divergence, dan dikembangkan berdasarkannya. Strategi ini juga memiliki fungsi feedback, yang dapat ditambahkan dengan fungsi tambahan seperti alarm, filter, dan tracking stop loss.
Indikator inti dari strategi ini adalah MACD. Strategi ini menghitung EMA bergerak cepat ® dan EMA bergerak lambat (slowMALen) dan kemudian menghitung diferensial mereka xmacd. Di samping itu, menghitung EMA (signalLength) dari xmacd mendapatkan xMA_MACD.
Selain itu, strategi ini juga memperkenalkan filter tren. Jika ada filter tren bullish yang dikonfigurasi, harga akan terdeteksi jika ada kenaikan saat sinyal berganda; Demikian pula, sinyal shorting akan mendeteksi tren harga turun. Indikator RSI dan indikator MFI juga dapat digunakan untuk memfilter konfigurasi sinyal.
Keuntungan terbesar dari strategi ini adalah fitur pengembalian yang kuat. Anda dapat memilih varietas perdagangan yang berbeda, mengatur rentang waktu pengembalian, dan mengoptimalkan strategi untuk data varietas tertentu. Dibandingkan dengan strategi MACD sederhana, ini meningkatkan penilaian tren, overbought dan oversold, dan dapat menyaring beberapa sinyal thunderbolt.
Risiko dari strategi ini terutama berasal dari pemikiran tentang perdagangan terbalik. Meskipun sinyal terbalik dapat memperoleh beberapa peluang, itu juga berarti mengorbankan beberapa titik jual beli MACD tradisional, yang perlu dinilai dengan hati-hati. Selain itu, MACD sendiri rentan terhadap masalah sinyal palsu bertingkat.
Untuk mengurangi risiko, parameter dapat disesuaikan dengan tepat, mengoptimalkan panjang rata-rata bergerak; Kombinasi dengan filter tren dan indikator, untuk menghindari sinyal di pasar yang bergoyang; Tingkatkan jarak stop loss dengan tepat, untuk memastikan kendali kerugian perdagangan individu.
Strategi ini dapat dioptimalkan dalam beberapa hal:
Strategi kuantitatif MACD inverse dual track mengambil ide dari indikator MACD klasik, dan dikembangkan dan ditingkatkan berdasarkan itu. Strategi ini memiliki konfigurasi parameter yang fleksibel, pilihan mekanisme penyaringan yang kaya, dan fitur pengembalian yang kuat. Ini memungkinkan pengoptimalan yang dipersonalisasi untuk varietas perdagangan yang berbeda, dan merupakan strategi perdagangan kuantitatif yang berpotensi untuk dieksplorasi.
/*backtest
start: 2023-11-20 00:00:00
end: 2023-12-20 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version = 3
////////////////////////////////////////////////////////////
// Copyright by HPotter v1.0 09/12/2016
// This is one of the techniques described by William Blau in his book
// "Momentum, Direction and Divergence" (1995). If you like to learn more,
// we advise you to read this book. His book focuses on three key aspects
// of trading: momentum, direction and divergence. Blau, who was an electrical
// engineer before becoming a trader, thoroughly examines the relationship
// between price and momentum in step-by-step examples. From this grounding,
// he then looks at the deficiencies in other oscillators and introduces some
// innovative techniques, including a fresh twist on Stochastics. On directional
// issues, he analyzes the intricacies of ADX and offers a unique approach to help
// define trending and non-trending periods.
// Blau`s indicator is like usual MACD, but it plots opposite of meaningof
// stndard MACD indicator.
//
// You can change long to short in the Input Settings
// Please, use it only for learning or paper trading. Do not for real trading.
//
//
// 2018-09 forked by Khalid Salomão
// - Backtesting
// - Added filters: RSI, MFI, Price trend
// - Trailing Stop Loss
// - Other minor adjustments
//
////////////////////////////////////////////////////////////
strategy(title="Ergotic MACD Backtester [forked from HPotter]", shorttitle="Ergotic MACD Backtester", overlay=true, pyramiding=0, default_qty_type=strategy.cash, default_qty_value=25000, initial_capital=50000, commission_type=strategy.commission.percent, commission_value=0.15, slippage=3)
// === BACKTESTING: INPUT BACKTEST RANGE ===
source = input(close)
strategyType = input(defval="Long Only", options=["Long & Short", "Long Only", "Short Only"])
FromMonth = input(defval = 7, title = "From Month", minval = 1, maxval = 12)
FromDay = input(defval = 1, title = "From Day", minval = 1, maxval = 31)
FromYear = input(defval = 2018, title = "From Year", minval = 2017)
ToMonth = input(defval = 12, title = "To Month", minval = 1, maxval = 12)
ToDay = input(defval = 1, title = "To Day", minval = 1, maxval = 31)
ToYear = input(defval = 2030, title = "To Year", minval = 2017)
start = timestamp(FromYear, FromMonth, FromDay, 00, 00)
finish = timestamp(ToYear, ToMonth, ToDay, 23, 59)
window() => true // window of time verification
// === STRATEGY ===
r = input(144, minval=1, title="R (32,55,89,100,144,200)") // default 32
slowMALen = input(6, minval=1) // default 32
signalLength = input(6, minval=1)
reverse = input(false, title="Trade reverse (long/short switch)")
//hline(0, color=blue, linestyle=line)
fastMA = ema(source, r)
slowMA = ema(source, slowMALen)
xmacd = fastMA - slowMA
xMA_MACD = ema(xmacd, signalLength)
pos = 0
pos := iff(xmacd < xMA_MACD, 1,
iff(xmacd > xMA_MACD, -1, nz(pos[1], 0)))
possig = 0
possig := iff(reverse and pos == 1, -1,
iff(reverse and pos == -1, 1, pos))
// === FILTER: price trend ====
trending_price_long = input(true, title="Long only if price has increased" )
trending_price_short = input(false, title="Short only if price has decreased" )
trending_price_length = input( 2, minval=1 )
trending_price_with_ema = input( false )
trending_price_ema = input( 3, minval=1 )
price_trend = trending_price_with_ema ? ema(source, trending_price_ema) : source
priceLongTrend() => (trending_price_long ? rising(price_trend, trending_price_length) : true)
priceShortTrend() => (trending_price_short ? falling(price_trend, trending_price_length) : true)
// === FILTER: RSI ===
rsi_length = input( 14, minval=1 )
rsi_overSold = input( 14, minval=0, title="RSI Sell Cutoff (Sell only if >= #)" )
rsi_overBought = input( 82, minval=0, title="RSI Buy Cutoff (Buy only if <= #)" )
vrsi = rsi(source, rsi_length)
rsiOverbought() => vrsi > rsi_overBought
rsiOversold() => vrsi < rsi_overSold
trending_rsi_long = input(false, title="Long only if RSI has increased" )
trending_rsi_length = input( 2 )
rsiLongTrend() => trending_rsi_long ? rising(vrsi, trending_rsi_length) : true
// === FILTER: MFI ===
mfi_length = input(14, minval=1)
mfi_lower = input(14, minval=0, maxval=50)
mfi_upper = input(82, minval=50, maxval=100)
upper_s = sum(volume * (change(source) <= 0 ? 0 : source), mfi_length)
lower_s = sum(volume * (change(source) >= 0 ? 0 : source), mfi_length)
mf = rsi(upper_s, lower_s)
mfiOverbought() => (mf > mfi_upper)
mfiOversold() => (mf < mfi_lower)
trending_mfi_long = input(false, title="Long only if MFI has increased" )
trending_mfi_length = input( 2 )
mfiLongTrend() => trending_mfi_long ? rising(mf, trending_mfi_length) : true
// === SIGNAL CALCULATION ===
long = window() and possig == 1 and rsiLongTrend() and mfiLongTrend() and not rsiOverbought() and not mfiOverbought() and priceLongTrend()
short = window() and possig == -1 and not rsiOversold() and not mfiOversold() and priceShortTrend()
// === trailing stop
tslSource=input(hlc3,title="TSL source")
//suseCurrentRes = input(true, title="Use current chart resolution for stop trigger?")
tslResolution = input(title="Use different timeframe for stop trigger? Uncheck box above.", defval="5")
tslTrigger = input(3.0) / 100
tslStop = input(0.6) / 100
currentPrice = request.security(syminfo.tickerid, tslResolution, tslSource, barmerge.gaps_off, barmerge.lookahead_off)
isLongOpen = false
isLongOpen := nz(isLongOpen[1], false)
entryPrice=0.0
entryPrice:= nz(entryPrice[1], 0.0)
trailPrice=0.0
trailPrice:=nz(trailPrice[1], 0.0)
// update TSL high mark
if (isLongOpen )
if (not trailPrice and currentPrice >= entryPrice * (1 + tslTrigger))
trailPrice := currentPrice
else
if (trailPrice and currentPrice > trailPrice)
trailPrice := currentPrice
if (trailPrice and currentPrice <= trailPrice * (1 - tslStop))
// FIRE TSL SIGNAL
short:=true // <===
long := false
// if short clean up
if (short)
isLongOpen := false
entryPrice := 0.0
trailPrice := 0.0
if (long)
isLongOpen := true
if (not entryPrice)
entryPrice := currentPrice
// === BACKTESTING: ENTRIES ===
if long
if (strategyType == "Short Only")
strategy.close("Short")
else
strategy.entry("Long", strategy.long, comment="Long")
if short
if (strategyType == "Long Only")
strategy.close("Long")
else
strategy.entry("Short", strategy.short, comment="Short")
//barcolor(possig == -1 ? red: possig == 1 ? green : blue )
//plot(xmacd, color=green, title="Ergotic MACD")
//plot(xMA_MACD, color=red, title="SigLin")
plotshape(trailPrice ? trailPrice : na, style=shape.circle, location=location.absolute, color=blue, size=size.tiny)
plotshape(long, style=shape.triangleup, location=location.belowbar, color=green, size=size.tiny)
plotshape(short, style=shape.triangledown, location=location.abovebar, color=red, size=size.tiny)
// === Strategy Alert ===
alertcondition(long, title='BUY - Ergotic MACD Long Entry', message='Go Long!')
alertcondition(short, title='SELL - Ergotic MACD Long Entry', message='Go Short!')
// === BACKTESTING: EXIT strategy ===
sl_inp = input(7, title='Stop Loss %', type=float)/100
tp_inp = input(1.8, title='Take Profit %', type=float)/100
stop_level = strategy.position_avg_price * (1 - sl_inp)
take_level = strategy.position_avg_price * (1 + tp_inp)
strategy.exit("Stop Loss/Profit", "Long", stop=stop_level, limit=take_level)