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// 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 its possible at all to convert it to MT4 then it would be great if we could keep the different indicator options.. if not... the QQE option seems to be the strongest...