1. 사각형
2. 모멘텀 기반의 지그자그

모멘텀 기반의 지그자그

저자:차오장, 날짜: 2022-05-17 15:26:51
태그:SMAMACDEMAWMAHMARMAVWMA

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/*backtest
start: 2022-05-09 00:00:00
end: 2022-05-15 23:59:00
period: 10m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © Peter_O

//@version=5
indicator('Momentum-based ZigZag', overlay=true)

var int momentum_direction = 0
color_zigzag_lines = input(true, title='Color ZigZag lines to show force direction')
momentum_select = input.string(title='Select Momentum Indicator:', defval='QQE', options=['MACD', 'MovingAverage', 'QQE'])


// ZigZag function {
zigzag(_momentum_direction) =>
    zz_goingup = _momentum_direction == 1
    zz_goingdown = _momentum_direction == -1
    var float zz_peak = na
    var float zz_bottom = na
    zz_peak := high > zz_peak[1] and zz_goingup or zz_goingdown[1] and zz_goingup ? high : nz(zz_peak[1])
    zz_bottom := low < zz_bottom[1] and zz_goingdown or zz_goingup[1] and zz_goingdown ? low : nz(zz_bottom[1])
    zigzag = zz_goingup and zz_goingdown[1] ? zz_bottom[1] : zz_goingup[1] and zz_goingdown ? zz_peak[1] : na
    zigzag
// } End of ZigZag function

// MACD  {
fast_length = input.int(title='Fast Length', defval=12, group='if MACD Selected', inline='macd')
slow_length = input.int(title='Slow Length', defval=26, group='if MACD Selected', inline='macd')
src = input.source(title='Source', defval=close, group='if MACD Selected', inline='macd')
signal_length = input.int(title='Signal Smoothing', minval=1, maxval=50, defval=9, group='if MACD Selected', inline='macd')
sma_source = input.string(title='Oscillator MA Type', defval='EMA', options=['SMA', 'EMA'], group='if MACD Selected', inline='macd')
sma_signal = input.string(title='Signal Line MA Type', defval='EMA', options=['SMA', 'EMA'], group='if MACD Selected', inline='macd')

fast_ma = sma_source == 'SMA' ? ta.sma(src, fast_length) : ta.ema(src, fast_length)
slow_ma = sma_source == 'SMA' ? ta.sma(src, slow_length) : ta.ema(src, slow_length)
macd = fast_ma - slow_ma
signal = sma_signal == 'SMA' ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)

macdUP = ta.crossover(macd, signal)
macdDOWN = ta.crossunder(macd, signal)
// } End of MACD

// Moving Averages {
smoothing_type = input.string(title='Average type', defval='SMA', options=['EMA', 'SMA', 'WMA', 'VWMA', 'HMA', 'RMA', 'DEMA'], inline='movingaverage', group='if Moving Average selected')
ma_length = input.int(20, title='Length', inline='movingaverage', group='if Moving Average selected')
moving_average(_series, _length, _smoothing) =>
    _smoothing == 'EMA' ? ta.ema(_series, _length) : _smoothing == 'SMA' ? ta.sma(_series, _length) : _smoothing == 'WMA' ? ta.wma(_series, _length) : _smoothing == 'VWMA' ? ta.vwma(_series, _length) : _smoothing == 'HMA' ? ta.hma(_series, _length) : _smoothing == 'RMA' ? ta.rma(_series, _length) : _smoothing == 'DEMA' ? 2 * ta.ema(_series, _length) - ta.ema(ta.ema(_series, _length), _length) : ta.ema(_series, _length)
movingaverage = moving_average(close, ma_length, smoothing_type)
maUP = movingaverage > movingaverage[1] and movingaverage[2] > movingaverage[1]
maDOWN = movingaverage < movingaverage[1] and movingaverage[2] < movingaverage[1]
// } End of Moving Averages


// QQE {
RSI_Period = input.int(14, title='RSI Length', inline='qqe', group='if QQE selected')
qqeslow = input.float(4.238, title='QQE Factor', inline='qqe', group='if QQE selected')
SFslow = input.int(5, title='RSI Smoothing', inline='qqe', group='if QQE selected')
ThreshHold = input.int(10, title='Thresh-hold', inline='qqe', group='if QQE selected')
rsi_currenttf = ta.rsi(close, RSI_Period)

qqenew(_qqefactor, _smoothingfactor, _rsi, _threshold, _RSI_Period) =>
    RSI_Period = _RSI_Period
    SF = _smoothingfactor
    QQE = _qqefactor
    ThreshHold = _threshold
    Wilders_Period = RSI_Period * 2 - 1
    Rsi = _rsi
    RsiMa = ta.ema(Rsi, SF)
    AtrRsi = math.abs(RsiMa[1] - RsiMa)
    MaAtrRsi = ta.ema(AtrRsi, Wilders_Period)
    dar = ta.ema(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
    QQExlong = 0
    QQExlong := nz(QQExlong[1])
    QQExshort = 0
    QQExshort := nz(QQExshort[1])
    qqe_goingup = ta.barssince(QQExlong == 1) < ta.barssince(QQExshort == 1)
    qqe_goingdown = ta.barssince(QQExlong == 1) > ta.barssince(QQExshort == 1)
    var float last_qqe_high = high
    var float last_qqe_low = low
    last_qqe_high := high > last_qqe_high[1] and qqe_goingup or qqe_goingdown[1] and qqe_goingup ? high : nz(last_qqe_high[1])
    last_qqe_low := low < last_qqe_low[1] and qqe_goingdown or qqe_goingup[1] and qqe_goingdown ? low : nz(last_qqe_low[1])
    trend := ta.crossover(RSIndex, shortband[1]) or ta.crossover(high, last_qqe_high) ? 1 : ta.crossunder(RSIndex, longband[1]) or ta.crossunder(low, last_qqe_low) ? -1 : nz(trend[1], 1)
    FastAtrRsiTL = trend == 1 ? longband : shortband
    // Find all the QQE Crosses
    QQExlong := trend == 1 and trend[1] == -1 ? QQExlong + 1 : 0
    QQExshort := trend == -1 and trend[1] == 1 ? QQExshort + 1 : 0
    qqeLong = QQExlong == 1 ? FastAtrRsiTL[1] - 50 : na
    qqeShort = QQExshort == 1 ? FastAtrRsiTL[1] - 50 : na
    qqenew = qqeLong ? 1 : qqeShort ? -1 : na
    qqenew

qqeUP = qqenew(qqeslow, SFslow, rsi_currenttf, ThreshHold, RSI_Period) == 1
qqeDOWN = qqenew(qqeslow, SFslow, rsi_currenttf, ThreshHold, RSI_Period) == -1
// } End of QQE


momentumUP = momentum_select == 'MACD' ? macdUP : momentum_select == 'MovingAverage' ? maUP : momentum_select == 'QQE' ? qqeUP : qqeUP

momentumDOWN = momentum_select == 'MACD' ? macdDOWN : momentum_select == 'MovingAverage' ? maDOWN : momentum_select == 'QQE' ? qqeDOWN : qqeDOWN

momentum_direction := momentumUP ? 1 : momentumDOWN ? -1 : nz(momentum_direction[1])

// { Force detection
rsi5 = ta.rsi(close, 5)
ob = 80
os = 20
barssince_momentumUP = ta.barssince(momentumUP)
barssince_momentumDOWN = ta.barssince(momentumDOWN)
momentum_DOWN_was_force_up = momentumDOWN and (barssince_momentumUP >= ta.barssince(rsi5 > ob))[1]
momentum_UP_was_force_down = momentumUP and (barssince_momentumDOWN >= ta.barssince(rsi5 < os))[1]
zzcolor_rsi5 = momentum_DOWN_was_force_up ? color.lime : momentum_UP_was_force_down ? color.red : color.black
// } End of Force detection


ZigZag = zigzag(momentum_direction)
plot(ZigZag, linewidth=5, color=color_zigzag_lines ? zzcolor_rsi5 : color.black, title='ZIGZAG', style=plot.style_line, transp=0)

GoShort = momentumDOWN and not momentum_DOWN_was_force_up
GoLong = momentumUP and not momentum_UP_was_force_down

if GoShort
    label.new(bar_index, ZigZag, style=label.style_label_down, color=color.red, text=str.tostring('SHORT\n\npivot high: \n' + str.tostring(ZigZag)))
if GoLong
    label.new(bar_index, ZigZag, style=label.style_label_up, color=color.lime, text=str.tostring('LONG\n\npivot low: \n' + str.tostring(ZigZag)))


var float stoploss_long = low
var float stoploss_short = high

pl = ta.valuewhen(momentumUP, ZigZag, 0)
ph = ta.valuewhen(momentumDOWN, ZigZag, 0)

if GoLong
    stoploss_long := low < pl ? low : pl
    stoploss_long
if GoShort
    stoploss_short := high > ph ? high : ph
    stoploss_short

TakeProfitLevel=input(200)

if GoLong
    alertsyntax_golong = 'long slprice=' + str.tostring(stoploss_long) + ' tp=' + str.tostring(TakeProfitLevel)
    alert(message=alertsyntax_golong, freq=alert.freq_once_per_bar_close)
if GoShort
    alertsyntax_goshort = 'short slprice=' + str.tostring(stoploss_short) + ' tp=' + str.tostring(TakeProfitLevel)
    alert(message=alertsyntax_goshort, freq=alert.freq_once_per_bar_close)




if GoLong
    strategy.entry("Enter Long", strategy.long)
else if GoShort
    strategy.entry("Enter Short", strategy.short)

---

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• MACD와 RSI 결합 자연 거래 전략

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