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Dual MA Momentum Breakout Strategi

Penulis:ChaoZhang, Tarikh: 2024-01-31 10:33:21
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Ringkasan

Dual MA Momentum Breakout Strategy adalah strategi perdagangan kuantitatif yang menggabungkan dua garis purata bergerak dan penunjuk RSI. Ia mengira purata bergerak pantas, purata bergerak perlahan dan RSI untuk menetapkan ambang overbought / oversold untuk penunjuk momentum RSI. Ia pergi lama apabila dua MA mempunyai salib emas dan pergi pendek apabila terdapat salib kematian, untuk menangkap pergerakan trend di pasaran.

Logik

Strategy Breakout Momentum Dual MA terutamanya berdasarkan purata bergerak berganda dan penunjuk RSI. Ia mula-mula mengira satu garis purata bergerak pantas dan satu garis purata bergerak perlahan, dengan MA pantas menjadi purata bergerak bertingkat 10 hari dan MA perlahan menjadi purata bergerak adaptif linear 100 hari. Kemudian ia mengira RSI 14 hari dan menetapkan ambang overbought / oversold. Apabila MA pantas melintasi di atas MA perlahan, ia menandakan aliran naik, dan apabila MA pantas melintasi di bawah MA, ia menandakan aliran menurun. Selain menentukan arah trend, strategi ini juga memerlukan RSI berada di atas ambang overbought atau di bawah ambang oversold untuk menapis secara berkesan pecah palsu.

Secara khusus, apabila trend menaik dikenal pasti, jika RSI berada di atas ambang overbought pada masa ini, kedudukan panjang akan dibuka. Apabila trend menurun dikenal pasti dan RSI berada di bawah ambang oversold, kedudukan pendek akan dibuka. Selepas membuka kedudukan, kedudukan bertentangan akan dibuka apabila isyarat perdagangan terbalik.

Kelebihan

Dual MA Momentum Breakout Strategy menggabungkan dua MA dan RSI untuk mengenal pasti trend pasaran dengan berkesan dan menggunakan RSI untuk menapis breakout palsu, dengan itu meningkatkan kebolehpercayaan isyarat perdagangan.

Risiko

Strategy Breakout Momentum Dual MA juga membawa beberapa risiko. Sistem MA ganda sangat sensitif terhadap parameter dan kombinasi parameter yang berbeza perlu diuji dengan teliti untuk pasaran yang berbeza. Di samping itu, ambang yang tidak ditetapkan untuk RSI juga boleh menyebabkan peluang perdagangan yang hilang. Akhirnya, hentian penarikan agresif boleh ditembusi dalam keadaan pasaran tertentu, jadi titik kehilangan hentian harus diselaraskan berdasarkan hasil pengujian belakang.

Pengoptimuman

Strategy Breakout Momentum MA Dual boleh dioptimumkan dalam aspek berikut:

  1. Mengoptimumkan parameter MA pantas dan perlahan untuk mencari kombinasi parameter yang terbaik;
  2. Mengoptimumkan parameter RSI dan menyesuaikan ambang overbought / oversold;
  3. Tambah mekanisme penangguhan yang boleh disesuaikan untuk mengawal risiko;
  4. Tambah modul pengoptimuman saiz kedudukan untuk meningkatkan kecekapan penggunaan modal.

Kesimpulan

Dual MA Momentum Breakout Strategy menentukan arah trend melalui sistem MA dual dan menggunakan RSI untuk menapis isyarat, yang dapat meningkatkan kekurangan sistem MA tunggal dengan berkesan. Strategi ini mempunyai ruang pengoptimuman yang besar untuk parameter dan dapat mencapai penyesuaian adaptif.


/*backtest
start: 2023-12-01 00:00:00
end: 2023-12-10 23:59:59
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) https://creativecommons.org/licenses/by-nc-sa/4.0/
// © Salman4sgd

//@version=5
strategy("MAConverging + QQE Threshold Strategy", overlay = true)
//------------------------------------------------------------------------------
//Settings
//-----------------------------------------------------------------------------{
length = input(100)

incr   = input(10, "Increment")

fast   = input(10)

src    = input(close)

//-----------------------------------------------------------------------------}
//Calculations
//-----------------------------------------------------------------------------{
var ma    = 0.
var fma   = 0.
var alpha = 0.
var k     = 1 / incr

upper = ta.highest(length)
lower = ta.lowest(length)
init_ma = ta.sma(src, length)

cross = ta.cross(src,ma)

alpha := cross ? 2 / (length + 1)
  : src > ma and upper > upper[1] ? alpha + k
  : src < ma and lower < lower[1] ? alpha + k
  : alpha

ma := nz(ma[1] + alpha[1] * (src - ma[1]), init_ma)
  
fma := nz(cross ? math.avg(src, fma[1])
  : src > ma ? math.max(src, fma[1]) + (src - fma[1]) / fast
  : math.min(src, fma[1]) + (src - fma[1]) / fast,src)

//-----------------------------------------------------------------------------}
//Plots
//-----------------------------------------------------------------------------{
css = fma > ma ? color.teal : color.red

plot0 = plot(fma, "Fast MA" 
  , color = #ff5d00
  , transp = 100)

plot1 = plot(ma, "Converging MA"
  , color = css)

fill(plot0, plot1, css
  , "Fill"
  , transp = 80)
  
//-----------------------------------------------------------------------------}

RSI_Period = input(14, title='RSI Length')
SF = input(5, title='RSI Smoothing')
QQE = input(4.238, title='Fast QQE Factor')
ThreshHold = input(10, title='Thresh-hold')
//
sQQEx = input(false, title='Show Smooth RSI, QQE Signal crosses')
sQQEz = input(false, title='Show Smooth RSI Zero crosses')
sQQEc = input(false, title='Show Smooth RSI Thresh Hold Channel Exits')
ma_type = input.string(title='MA Type', defval='EMA', options=['ALMA', 'EMA', 'DEMA', 'TEMA', 'WMA', 'VWMA', 'SMA', 'SMMA', 'HMA', 'LSMA', 'PEMA'])
lsma_offset = input.int(defval=0, title='* Least Squares (LSMA) Only - Offset Value', minval=0)
alma_offset = input.float(defval=0.85, title='* Arnaud Legoux (ALMA) Only - Offset Value', minval=0, step=0.01)
alma_sigma = input.int(defval=6, title='* Arnaud Legoux (ALMA) Only - Sigma Value', minval=0)
inpDrawBars = input(true, title='color bars?')


ma(type, src, len) =>
    float result = 0
    if type == 'SMA'  // Simple
        result := ta.sma(src, len)
        result
    if type == 'EMA'  // Exponential
        result := ta.ema(src, len)
        result
    if type == 'DEMA'  // Double Exponential
        e = ta.ema(src, len)
        result := 2 * e - ta.ema(e, len)
        result
    if type == 'TEMA'  // Triple Exponential
        e = ta.ema(src, len)
        result := 3 * (e - ta.ema(e, len)) + ta.ema(ta.ema(e, len), len)
        result
    if type == 'WMA'  // Weighted
        result := ta.wma(src, len)
        result
    if type == 'VWMA'  // Volume Weighted
        result := ta.vwma(src, len)
        result
    if type == 'SMMA'  // Smoothed
        w = ta.wma(src, len)
        result := na(w[1]) ? ta.sma(src, len) : (w[1] * (len - 1) + src) / len
        result
    if type == 'HMA'  // Hull
        result := ta.wma(2 * ta.wma(src, len / 2) - ta.wma(src, len), math.round(math.sqrt(len)))
        result
    if type == 'LSMA'  // Least Squares
        result := ta.linreg(src, len, lsma_offset)
        result
    if type == 'ALMA'  // Arnaud Legoux
        result := ta.alma(src, len, alma_offset, alma_sigma)
        result
    if type == 'PEMA'
        // Copyright (c) 2010-present, Bruno Pio
        // Copyright (c) 2019-present, Alex Orekhov (everget)
        // Pentuple Exponential Moving Average script may be freely distributed under the MIT license.
        ema1 = ta.ema(src, len)
        ema2 = ta.ema(ema1, len)
        ema3 = ta.ema(ema2, len)
        ema4 = ta.ema(ema3, len)
        ema5 = ta.ema(ema4, len)
        ema6 = ta.ema(ema5, len)
        ema7 = ta.ema(ema6, len)
        ema8 = ta.ema(ema7, len)
        pema = 8 * ema1 - 28 * ema2 + 56 * ema3 - 70 * ema4 + 56 * ema5 - 28 * ema6 + 8 * ema7 - ema8
        result := pema
        result
    result

src := input(close, title='RSI Source')
//

//
Wilders_Period = RSI_Period * 2 - 1


Rsi = ta.rsi(src, RSI_Period)
RsiMa = ma(ma_type, Rsi, SF)
AtrRsi = math.abs(RsiMa[1] - RsiMa)
MaAtrRsi = ma(ma_type, AtrRsi, Wilders_Period)
dar = ma(ma_type, MaAtrRsi, Wilders_Period) * QQE

longband = 0.0
shortband = 0.0
trend = 0

DeltaFastAtrRsi = dar
RSIndex = RsiMa
newshortband = RSIndex + DeltaFastAtrRsi
newlongband = RSIndex - DeltaFastAtrRsi
longband := RSIndex[1] > longband[1] and RSIndex > longband[1] ? math.max(longband[1], newlongband) : newlongband
shortband := RSIndex[1] < shortband[1] and RSIndex < shortband[1] ? math.min(shortband[1], newshortband) : newshortband
cross_1 = ta.cross(longband[1], RSIndex)
trend := ta.cross(RSIndex, shortband[1]) ? 1 : cross_1 ? -1 : nz(trend[1], 1)
FastAtrRsiTL = trend == 1 ? longband : shortband

//
// Find all the QQE Crosses
QQExlong = 0
QQExlong := nz(QQExlong[1])
QQExshort = 0
QQExshort := nz(QQExshort[1])
QQExlong := sQQEx and FastAtrRsiTL < RSIndex ? QQExlong + 1 : 0
QQExshort := sQQEx and FastAtrRsiTL > RSIndex ? QQExshort + 1 : 0
// Zero cross
QQEzlong = 0
QQEzlong := nz(QQEzlong[1])
QQEzshort = 0
QQEzshort := nz(QQEzshort[1])
QQEzlong := sQQEz and RSIndex >= 50 ? QQEzlong + 1 : 0
QQEzshort := sQQEz and RSIndex < 50 ? QQEzshort + 1 : 0
//  
// Thresh Hold channel Crosses give the BUY/SELL alerts.
QQEclong = 0
QQEclong := nz(QQEclong[1])
QQEcshort = 0
QQEcshort := nz(QQEcshort[1])
QQEclong := sQQEc and RSIndex > 50 + ThreshHold ? QQEclong + 1 : 0
QQEcshort := sQQEc and RSIndex < 50 - ThreshHold ? QQEcshort + 1 : 0


// // QQE exit from Thresh Hold Channel
// plotshape(sQQEc and QQEclong == 1 ? RsiMa - 50 : na, title='QQE XC Over Channel', style=shape.diamond, location=location.absolute, color=color.new(color.olive, 0), size=size.small, offset=0)
// plotshape(sQQEc and QQEcshort == 1 ? RsiMa - 50 : na, title='QQE XC Under Channel', style=shape.diamond, location=location.absolute, color=color.new(color.red, 0), size=size.small, offset=0)
// // QQE crosses
// plotshape(sQQEx and QQExlong == 1 ? FastAtrRsiTL[1] - 50 : na, title='QQE XQ Cross Over', style=shape.circle, location=location.absolute, color=color.new(color.lime, 0), size=size.small, offset=-1)
// plotshape(sQQEx and QQExshort == 1 ? FastAtrRsiTL[1] - 50 : na, title='QQE XQ Cross Under', style=shape.circle, location=location.absolute, color=color.new(color.blue, 0), size=size.small, offset=-1)
// // Signal crosses zero line
// plotshape(sQQEz and QQEzlong == 1 ? RsiMa - 50 : na, title='QQE XZ Zero Cross Over', style=shape.square, location=location.absolute, color=color.new(color.aqua, 0), size=size.small, offset=0)
// plotshape(sQQEz and QQEzshort == 1 ? RsiMa - 50 : na, title='QQE XZ Zero Cross Under', style=shape.square, location=location.absolute, color=color.new(color.fuchsia, 0), size=size.small, offset=0)

// hcolor = RsiMa - 50 > ThreshHold ? color.green : RsiMa - 50 < 0 - ThreshHold ? color.red : color.orange
// plot(FastAtrRsiTL - 50, color=color.new(color.blue, 0), linewidth=2)
// p1 = plot(RsiMa - 50, color=color.new(color.orange, 0), linewidth=2)
// plot(RsiMa - 50, color=hcolor, style=plot.style_columns, transp=50)


// hZero = hline(0, color=color.black, linestyle=hline.style_dashed, linewidth=1)
// hUpper = hline(ThreshHold, color=color.green, linestyle=hline.style_dashed, linewidth=2)
// hLower = hline(0 - ThreshHold, color=color.red, linestyle=hline.style_dashed, linewidth=2)
// fill(hUpper, hLower, color=color.new(color.gray, 80))
//EOF

length := input.int(title='ATR Length', defval=14, minval=1)
smoothing = input.string(title='ATR Smoothing', defval='RMA', options=['RMA', 'SMA', 'EMA', 'WMA'])
m = input(0.3, 'ATR Multiplier')
src1 = input(high)
src2 = input(low)
pline = input(true, 'Show Price Lines')
col1 = input(color.blue, 'ATR Text Color')
col2 = input.color(color.teal, 'Low Text Color', inline='1')
col3 = input.color(color.red, 'High Text Color', inline='2')

collong = input.color(color.teal, 'Low Line Color', inline='1')
colshort = input.color(color.red, 'High Line Color', inline='2')

ma_function(source, length) =>
    if smoothing == 'RMA'
        ta.rma(source, length)
    else
        if smoothing == 'SMA'
            ta.sma(source, length)
        else
            if smoothing == 'EMA'
                ta.ema(source, length)
            else
                ta.wma(source, length)

a = ma_function(ta.tr(true), length) * m
s_sl = ma_function(ta.tr(true), length) * m + src1
l_sl = src2 - ma_function(ta.tr(true), length) * m

p1 = plot(s_sl, title='ATR Short Stop Loss', color=colshort, trackprice=pline ? true : false, transp=20)
p2 = plot(l_sl, title='ATR Long Stop Loss', color=collong, trackprice=pline ? true : false, transp=20)


bgc = RsiMa - 50 > ThreshHold ? color.green : Rsi - 50 < 0 - ThreshHold ? color.red : color.orange
barcolor(inpDrawBars ? bgc : na)
prebuy = RsiMa - 50 > ThreshHold
buy=prebuy and not(prebuy[1]) and fma > ma

var long_tp=0.0
var long_sl=0.0
var short_tp=0.0
var short_sl=0.0

if prebuy
    strategy.close("Short")



if buy and strategy.position_size<=0
    strategy.entry("Long", strategy.long)
    long_sl:=l_sl
    long_tp:=close+(close-long_sl)*2
    
    
//if strategy.position_size>0
strategy.exit("L_SL","Long",stop=long_sl)
    //strategy.exit("L_SL","Long",stop=long_sl)
// if low<long_sl[1]
//     strategy.close("Long")
    
presell=RsiMa - 50 < 0 - ThreshHold // RsiMa - 50 < 0 - ThreshHold
sell= presell and not(presell[1]) and fma < ma

//plotshape(presell)

if presell
    strategy.close("Long")

if sell and strategy.position_size>=0
    strategy.entry("Short", strategy.short)
    short_sl:=s_sl
    short_tp:=close-(short_sl-close)*2
   
//if strategy.position_size<0
strategy.exit("S_SL","Short",stop=short_sl)
    //strategy.exit("S_SL","Short",stop=short_sl) 


    



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