This is the part 1 of Rain On Me PRO. It follow my two other indicators “Rain On Me” and “Rain On Me V2”. This version is called “PRO” because it is less “user-friendly” than my two previous versions. But the indicator load more faster, and it’s cleaner than ever! This indicator is separated into 3 parts. You can find all parts here in the “free indicators” menu or into my Tradingview profile in the « Scripts » section. Once the 3 parts together, the indicator is ready.
Rain On Me PRO 1/3 in action on Nasdaq Index.
Here is the complete list of indicators present in this indicator :
- ATR with alerts (buy and sell signals)
- Critical Volume Zone (P-O-C Silver colored candle)
- Efficient Doji detection system
- Multiple Divergence Type (MACD, Volume, RSI, CCI)
- Efficient Bullish and Bearish Engulfing Candle detection system with alerts
- 3 Moving Averages with alerts and “cross label displaying” for MA1 and MA2 (Multiple type of MA Filter)
- MA Bias Forecasting with 2 sources type available (“Same as MA” or “Linear Regression”)
- RSI Filter bar coloring with configurable OB/OS factor
All indicators have their original default settings. You need to be able to readjust them depending on the market instrument you want to analyze. You have the possibility to put alerts which will notify you when an indicator gives a new signal. When placing an alert, be sure to choose the “once per bar” option each time you place an alert.
Or copy / paste the source code into your pine editor :
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © RickSimpson
//@version=4
study(title="Rain On Me PRO 1/3", shorttitle='ROM PRO 1/3', overlay=true, max_bars_back=300)
//Inputs
showatr = input(defval=true, title="Show ATR?")
showvc = input(defval=false, title="Show Critical Volume Zone?")
showdoji = input(defval=false, title="Show Doji?")
showeng = input(defval=false, title="Show Engulfing Candles?")
showpullback = input(defval=false, title="Show Reversal Candles?")
showdivs = input(defval=true, title="Show Divergences?")
showmacross = input(defval=false, title="Show MA1 and MA2 Cross?")
showrsifilter = input(defval=false, title="Show RSI Filter Bar Color?")
//ATR
//Inputs
atrper = input(defval=14, title="ATR Period", minval=1)
atrmult = input(defval=2, title="ATR Multiplier", minval=0.5, maxval=100, step=0.1)
atrlookahead = input(defval=false, title="Show Only Confirmed ATR Signals?")
showatrsltp = input(defval=false, title="Show ATR Take Profit 1?")
atrtakeper = input(defval=1, title='ATR TP 1 (%)', type=input.float, minval=0, maxval=100, step=0.1) / 100
showatrtp2 = input(defval=false, title="Show ATR Take Profit 2?")
atrtakeper2 = input(defval=2, title='ATR TP 2 (%)', type=input.float, minval=0, maxval=100, step=0.1) / 100
showatrtp3 = input(defval=false, title="Show ATR Take Profit 3?")
atrtakeper3 = input(defval=3, title='ATR TP 3 (%)', type=input.float, minval=0, maxval=100, step=0.1) / 100
//Calculation
natr = atr(atrper)
nloss = atrmult * natr
atrsrc = open > close ? low : high
natrtrailingstop = 0.0
natrtrailingstop := iff(atrsrc > nz(natrtrailingstop[1], 0) and atrsrc[1] > nz(natrtrailingstop[1], 0), max(nz(natrtrailingstop[1]), atrsrc - nloss),
iff(atrsrc < nz(natrtrailingstop[1], 0) and atrsrc[1] < nz(natrtrailingstop[1], 0), min(nz(natrtrailingstop[1]), atrsrc + nloss),
iff(atrsrc > nz(natrtrailingstop[1], 0), atrsrc - nloss, atrsrc + nloss)))
pos = 0
pos := iff(atrsrc[1] < nz(natrtrailingstop[1], 0) and atrsrc > nz(natrtrailingstop[1], 0), 1,
iff(atrsrc[1] > nz(natrtrailingstop[1], 0) and atrsrc < nz(natrtrailingstop[1], 0), -1, nz(pos[1], 0)))
//Settings
atrma = ema(atrsrc, 1)
atrabove = crossover(atrma, natrtrailingstop)
atrbelow = crossover(natrtrailingstop, atrma)
atrsell = atrsrc < natrtrailingstop and atrbelow
atrbuy = atrsrc > natrtrailingstop and atrabove
atrselld = atrlookahead ? atrsell[1] : atrsell
atrbuyd = atrlookahead ? atrbuy[1] : atrbuy
//ATR TP Calculation
atrstopper = 100 / 100
atrls = 0
atrllast = atrbuyd and (nz(atrls[1]) == 0 or nz(atrls[1]) == -1)
atrslast = atrselld and (nz(atrls[1]) == 0 or nz(atrls[1]) == 1)
atrls := atrllast ? 1 : atrslast ? -1 : atrls[1]
atrlprice = valuewhen(atrllast, close, 0)
atrsprice = valuewhen(atrslast, close, 0)
atrlstop = atrlprice * (1 - atrstopper)
atrsstop = atrsprice * (1 + atrstopper)
atrltake = atrlprice * (1 + atrtakeper)
atrstake = atrsprice * (1 - atrtakeper)
atrlbar1 = barssince(atrllast)
atrlbar2 = atrlbar1 >= 1 ? true : false
atrsbar1 = barssince(atrslast)
atrsbar2 = atrsbar1 >= 1 ? true : false
atrlslh = atrls == 1 and atrlbar2 and low < atrlstop
atrsslh = atrls == -1 and atrsbar2 and high > atrsstop
atrltph = atrls == 1 and atrlbar2 and high > atrltake
atrstph = atrls == -1 and atrsbar2 and low < atrstake
atrls := (atrls == 1 or atrls == 0) and atrlbar2 and (atrlslh or atrltph) ? 0 : (atrls == -1 or atrls == 0) and atrsbar2 and (atrsslh or atrstph) ? 0 : atrls
atrls_2 = 0
atrllast_2 = atrbuyd and (nz(atrls_2[1]) == 0 or nz(atrls_2[1]) == -1)
atrslast2 = atrselld and (nz(atrls_2[1]) == 0 or nz(atrls_2[1]) == 1)
atrls_2 := atrllast_2 ? 1 : atrslast2 ? -1 : atrls_2[1]
atrlprice2 = valuewhen(atrllast_2, close, 0)
atrsprice2 = valuewhen(atrslast2, close, 0)
atrls_2top = atrlprice2 * (1 - atrstopper)
atrsstop2 = atrsprice2 * (1 + atrstopper)
atrltake2 = atrlprice2 * (1 + atrtakeper2)
atrstake2 = atrsprice2 * (1 - atrtakeper2)
atrlbar1_2 = barssince(atrllast_2)
atrlbar2_2 = atrlbar1_2 >= 1 ? true : false
atrsbar1_2 = barssince(atrslast2)
atrsbar2_2 = atrsbar1_2 >= 1 ? true : false
atrls_2lh_2 = atrls_2 == 1 and atrlbar2_2 and low < atrls_2top
atrsslh_2 = atrls_2 == -1 and atrsbar2_2 and high > atrsstop2
atrltph_2 = atrls_2 == 1 and atrlbar2_2 and high > atrltake2
atrstph_2 = atrls_2 == -1 and atrsbar2_2 and low < atrstake2
atrls_2 := (atrls_2 == 1 or atrls_2 == 0) and atrlbar2_2 and (atrls_2lh_2 or atrltph_2) ? 0 : (atrls_2 == -1 or atrls_2 == 0) and atrsbar2_2 and (atrsslh_2 or atrstph_2) ? 0 : atrls_2
atrls_3 = 0
atrllast_3 = atrbuyd and (nz(atrls_3[1]) == 0 or nz(atrls_3[1]) == -1)
atrslast3 = atrselld and (nz(atrls_3[1]) == 0 or nz(atrls_3[1]) == 1)
atrls_3 := atrllast_3 ? 1 : atrslast3 ? -1 : atrls_3[1]
atrlprice3 = valuewhen(atrllast_3, close, 0)
atrsprice3 = valuewhen(atrslast3, close, 0)
atrls_3top = atrlprice3 * (1 - atrstopper)
atrsstop3 = atrsprice3 * (1 + atrstopper)
atrltake3 = atrlprice3 * (1 + atrtakeper3)
atrstake3 = atrsprice3 * (1 - atrtakeper3)
atrlbar1_3 = barssince(atrllast_3)
atrlbar2_3 = atrlbar1_3 >= 1 ? true : false
atrsbar1_3 = barssince(atrslast3)
atrsbar2_3 = atrsbar1_3 >= 1 ? true : false
atrls_3lh_3 = atrls_3 == 1 and atrlbar2_3 and low < atrls_3top
atrsslh_3 = atrls_3 == -1 and atrsbar2_3 and high > atrsstop3
atrltph_3 = atrls_3 == 1 and atrlbar2_3 and high > atrltake3
atrstph_3 = atrls_3 == -1 and atrsbar2_3 and low < atrstake3
atrls_3 := (atrls_3 == 1 or atrls_3 == 0) and atrlbar2_3 and (atrls_3lh_3 or atrltph_3) ? 0 : (atrls_3 == -1 or atrls_3 == 0) and atrsbar2_3 and (atrsslh_3 or atrstph_3) ? 0 : atrls_3
//Plotting
plotshape(showatr ? atrselld : na, title="ATR Sell", style=shape.labeldown, location=location.abovebar, size=size.tiny, text="atr", textcolor=color.white, color=color.red, transp=0)
plotshape(showatr ? atrbuyd : na, title="ATR Buy", style=shape.labelup, location=location.belowbar, size=size.tiny, text="atr", textcolor=color.white, color=color.green, transp=0)
plotshape(showatrsltp ? atrstph : na, style=shape.labelup, location=location.belowbar, color=color.yellow, size=size.tiny, title="ATR Sell TP", text="TP 1", textcolor=color.black)
plotshape(showatrsltp ? atrltph : na, style=shape.labeldown, location=location.abovebar, color=color.yellow, size=size.tiny, title="ATR Buy TP", text="TP 1", textcolor=color.black)
plotshape(showatrtp2 ? atrstph_2 : na, style=shape.labelup, location=location.belowbar, color=color.yellow, size=size.tiny, title="ATR Sell TP 2", text="TP 2", textcolor=color.black)
plotshape(showatrtp2 ? atrltph_2 : na, style=shape.labeldown, location=location.abovebar, color=color.yellow, size=size.tiny, title="ATR Buy TP 2", text="TP 2", textcolor=color.black)
plotshape(showatrtp3 ? atrstph_3 : na, style=shape.labelup, location=location.belowbar, color=color.yellow, size=size.tiny, title="ATR Sell TP 3", text="TP 3", textcolor=color.black)
plotshape(showatrtp3 ? atrltph_3 : na, style=shape.labeldown, location=location.abovebar, color=color.yellow, size=size.tiny, title="ATR Buy TP 3", text="TP 3", textcolor=color.black)
//Alerts
alertcondition(atrselld, title="ATR Sell", message='ATR Sell')
alertcondition(atrbuyd, title="ATR Buy", message='ATR Buy')
alertcondition(atrstph, title="ATR Sell Take Profit 1", message='ATR Sell Take Profit 1')
alertcondition(atrltph, title="ATR Buy Take Profit 1", message='ATR Buy Take Profit 1')
alertcondition(atrstph_2, title="ATR Sell Take Profit 2", message='ATR Sell Take Profit 2')
alertcondition(atrltph_2, title="ATR Buy Take Profit 2", message='ATR Buy Take Profit 2')
alertcondition(atrstph_3, title="ATR Sell Take Profit 3", message='ATR Sell Take Profit 3')
alertcondition(atrltph_3, title="ATR Buy Take Profit 3", message='ATR Buy Take Profit 3')
//Critical Volume Zone
//Calculation
cvm = highest(volume, 89)
cxvol = volume * 100 / cvm * 4 / 5
cxvolma = ema(cxvol, 21)
cvfn = cxvol - cxvolma
vcriticalzone = highest(cvfn, 89) * 0.618
//Settings
vcbcconf = cvfn > 0 and cvfn >= vcriticalzone ? color.silver : na
vbcplot = cvfn > 0 and cvfn >= vcriticalzone
//Bar Color
barcolor(showvc ? vcbcconf : na)
//Doji
//Settings
dojidelta = close - open
dojigp = open - close[1]
dojiup = dojidelta >= 0
dojihigh = dojiup ? high - close : high - open
dojilow = dojiup ? open - low : close - low
//Calculation
cfdojidelta = dojidelta < 0 ? -dojidelta : dojidelta
dojiavg = (cfdojidelta + cfdojidelta[1] + cfdojidelta[2] + cfdojidelta[3] + cfdojidelta[4] +
cfdojidelta[5] + cfdojidelta[6] + cfdojidelta[7] + cfdojidelta[8] +
cfdojidelta[9]) / 10
iupdojim1 = dojidelta * 10 < cfdojidelta and high - low > cfdojidelta * 10 and
dojidelta[1] < 0
dndojim1 = dojidelta * 10 < cfdojidelta and high - low > cfdojidelta * 10 and
dojidelta[1] > 0
updojim2 = dojidelta * 10 < cfdojidelta and dojilow * 10 < cfdojidelta and
dojihigh > cfdojidelta * 5 and dojidelta[1] < 0
dndojim2 = dojidelta * 10 < cfdojidelta and dojihigh * 10 < cfdojidelta and
dojilow > cfdojidelta * 5 and dojidelta[1] > 0
//Plotting
plotshape(showdoji ? dndojim1 : na, text="doji", style=shape.triangledown, location=location.abovebar, color=color.red)
plotshape(showdoji ? dndojim1 : na, text="doji", style=shape.triangledown, location=location.abovebar, color=color.red)
plotshape(showdoji ? iupdojim1 : na, text="doji", style=shape.triangleup, location=location.belowbar, color=color.green)
plotshape(showdoji ? dndojim2 : na, text="doji", style=shape.triangledown, location=location.abovebar, color=color.red)
plotshape(showdoji ? dndojim2 : na, text="doji", style=shape.triangledown, location=location.abovebar, color=color.red)
plotshape(showdoji ? updojim2 : na, text="doji", style=shape.triangleup, location=location.belowbar, color=color.green)
//Reversal & Engulfing Candles
//Settings
tsh = true
pbma1 = ema(close, 13)
pbma2 = ema(close, 21)
pbma3 = ema(close, 34)
pbma = ema(close, 89)
pbr = tr
pbrma = ema(pbr, 89)
pbu = pbma + pbrma * 0.5
pbl = pbma - pbrma * 0.5
pbc = (pbu+ pbl) / 2
//Calculation
pbtru = pbma1 > pbu and pbma2 > pbu and pbma3 > pbu
pbtrd = pbma1 < pbl and pbma2 < pbl and pbma3 < pbl
pullbackbull() =>
pbtru and close < pbu
pbdflt() =>
pbtrd and close > pbl
engu() =>
pbtru and close[1] < pbu and close > pbu
engd() =>
pbtrd and close[1] > pbl and close < pbl
engurend = pbma1 > pbu and pbma2 > pbu and pbma3 > pbu and close[1] < pbu and
close > pbu ? 1 : 0
engdrend = pbma1 < pbl and pbma2 < pbl and pbma3 < pbl and close[1] > pbl and
close < pbl ? 1 : 0
engutr = pbma1 > pbu and pbma2 > pbu and pbma3 > pbu
engdtr = pbma1 < pbl and pbma2 < pbl and pbma3 < pbl
engb = engurend == 1 ? engurend : 0
engs = engdrend == 1 ? engdrend : 0
pbdfl = pbdflt()
barcolor(showpullback and pullbackbull() ? color.yellow : showpullback and pbdfl ? color.yellow : na)
engisd = engd()
barcolor(showeng and engu() ? color.aqua : showeng and engisd ? color.fuchsia : na)
//Plotting
plotarrow(showeng and tsh and engb ? engb : na, title="Bullish Engulfing", colorup=color.aqua, maxheight=5, minheight=10, transp=0)
plotarrow(showeng and tsh and engs * -1 ? engs * -1 : na, title="Bearish Engulfing", colordown=color.fuchsia, maxheight=5, minheight=10, transp=0)
plotchar(showeng and engb ? low - tr : na, title="Bullish Engulfing", char='↑', offset=0, text="bullish engulfing", textcolor=color.aqua, location=location.belowbar, color=color.aqua, transp=0)
plotchar(showeng and engs ? high + tr : na, title="Bearish Engulfing", char='↑', offset=0, text="bearish engulfing", textcolor=color.fuchsia, location=location.abovebar, color=color.fuchsia, transp=0)
//Alerts
alertcondition(engb ? low - tr : na, title="Bullish Engulfing", message='Bullish Engulfing')
alertcondition(engs ? high + tr : na, title="Bearish Engulfing", message='Bearish Engulfing')
//Divergences
//Inputs
divtype = input(title="Divergences Type", defval='MACD', options=['MACD','VOLUME','RSI','CCI'])
//Settings
highdivsrc = high
lowdivsrc = low
macddivsrc = close
macddivfast = 12
macddivslow = 26
macddivsmooth = 9
volumedivlength = 5
rsidivlength = 5
ccidivlength = 5
//Calculation
f_top_fractal(_src) =>
_src[4] < _src[2] and _src[3] < _src[2] and _src[2] > _src[1] and
_src[2] > _src[0]
f_bot_fractal(_src) =>
_src[4] > _src[2] and _src[3] > _src[2] and _src[2] < _src[1] and
_src[2] < _src[0]
f_fractalize(_src) =>
f_bot_fractal__1 = f_bot_fractal(_src)
f_top_fractal(_src) ? 1 : f_bot_fractal__1 ? -1 : 0
f_macd(_src, _fast, _slow, _smooth) =>
_fast_ma = sma(_src, _fast)
_slow_ma = sma(_src, _slow)
_macd = _fast_ma - _slow_ma
_signal = ema(_macd, _smooth)
_hist = _macd - _signal
_hist
f_volume(_smooth) =>
_return = sma(cum(close == high and close == low or high == low ? 0 : (2 * close - low - high) / (high - low) * volume), _smooth)
_return
osch = float(na)
oscl = float(na)
if divtype == 'MACD'
osch := f_macd(macddivsrc, macddivfast, macddivslow, macddivsmooth)
oscl := f_macd(macddivsrc, macddivfast, macddivslow, macddivsmooth)
oscl
if divtype == 'VOLUME'
osch := f_volume(volumedivlength)
oscl := f_volume(volumedivlength)
oscl
if divtype == 'RSI'
osch := rsi(highdivsrc, rsidivlength)
oscl := rsi(lowdivsrc, rsidivlength)
if divtype == 'CCI'
osch := cci(highdivsrc, ccidivlength)
oscl := cci(lowdivsrc, ccidivlength)
fract = f_fractalize(osch) > 0 ? osch[2] : na
fracb = f_fractalize(oscl) < 0 ? oscl[2] : na
hprv = valuewhen(fract, osch[2], 0)[2]
hp = valuewhen(fract, high[2], 0)[2]
lprv = valuewhen(fracb, oscl[2], 0)[2]
lp = valuewhen(fracb, low[2], 0)[2]
bearishdiv = fract and high[2] > hp and osch[2] < hprv
bullishdiv = fracb and low[2] < lp and oscl[2] > lprv
//Plotting
plot(title="Bearish Divergence", series=(showdivs and fracb) ? low[2] : na, color=bullishdiv ? color.lime : na, linewidth=2, offset=-2)
plot(title="Bullish Divergence", series=(showdivs and fract) ? high[2] : na, color=bearishdiv ? color.red : na, linewidth=2, offset=-2)
//Alerts
alertcondition(bearishdiv, title="Bearish Divergence", message='Bearish Divergence')
alertcondition(bullishdiv, title="Bullish Divergence", message='Bullish Divergence')
//Moving Average
//Inputs
masrcl = input(defval=close, title="MA Source")
ma1period = input(defval=7, title="MA1 Period", minval=7)
ma1type = input(defval="WMA", title="MA1 Type", options=["SMA","EMA","DEMA","TEMA","ZLEMA","WMA","SMMA","VAMA","VWMA","HMA","ALMA","JMA","FRAMA","Donchian","KijunSource","LSMA","Triangular","SuperSmooth","KAMA","GF","DSMA","Median","McGinley"])
ma2period = input(defval=21, title="MA2 Period", minval=7)
ma2type = input(defval="WMA", title="MA2 Type", options=["SMA","EMA","DEMA","TEMA","ZLEMA","WMA","SMMA","VAMA","VWMA","HMA","ALMA","JMA","FRAMA","Donchian","KijunSource","LSMA","Triangular","SuperSmooth","KAMA","GF","DSMA","Median","McGinley"])
ma3period = input(defval=200, title="MA3 Period", minval=7)
ma3type = input(defval="SMA", title="MA3 Type", options=["SMA","EMA","DEMA","TEMA","ZLEMA","WMA","SMMA","VAMA","VWMA","HMA","ALMA","JMA","FRAMA","Donchian","KijunSource","LSMA","Triangular","SuperSmooth","KAMA","GF","DSMA","Median","McGinley"])
ma1 = input(defval=true, title="Show MA1?")
ma2 = input(defval=true, title="Show MA2?")
ma3 = input(defval=false, title="Show MA3?")
maforecasting = input(defval=false, title="Show MA Forecasting?")
forecasttype = input(defval="Linear Regression", title="MA Forecast Bias", options=["MA Source", "Linear Regression"])
//Settings
realtimeforecast = true
lnperiod = 3
mavp = 51
maframafast = 1
maframaslow = 200
makfl = 2
maksl = 30
ma_alma_offset = 0.85
ma_alma_sigma = 6
ma_power = 1
ma_phase = 50
ma_s_maoffset = 0
ma_pn = 4
ma_percentage = 50
ma_phaseratio = ma_phase < -100 ? 0.5 : ma_phase > 100 ? 2.5 : ma_phase / 100 + 1.5
ma_beta = 0.45 * (ma1period * ma2period * ma3period - 1) / (0.45 * (ma1period * ma2period * ma3period - 1) + 2)
ma_beta_s = pow(ma_beta, ma_power)
get_jurik(_masrclink, _ma1period, ma_phase, ma_power) =>
ma_phaseratio = ma_phase < -100 ? 0.5 : ma_phase > 100 ? 2.5 : ma_phase / 100 + 1.5
ma_beta = 0.45 * (_ma1period - 1) / (0.45 * (_ma1period - 1) + 2)
ma_beta_s = pow(ma_beta, ma_power)
jma = 0.0
e0 = 0.0
e0 := (1 - ma_beta_s) * _masrclink + ma_beta_s * nz(e0[1])
e1 = 0.0
e1 := (_masrclink - e0) * (1 - ma_beta) + ma_beta * nz(e1[1])
e2 = 0.0
e2 := (e0 + ma_phaseratio * e1 - nz(jma[1])) * pow(1 - ma_beta_s, 2) +
pow(ma_beta_s, 2) * nz(e2[1])
jma := e2 + nz(jma[1])
jma
donchian(_ma1period) => avg(lowest(_ma1period), highest(_ma1period))
PI = 2 * asin(1)
tau = 2 * PI
S(_masrclink, _ma1period) =>
arg = sqrt(2) * PI / _ma1period
a1 = exp(-arg)
b1 = 2 * a1 * cos(arg)
c2 = b1
c3 = -pow(a1, 2)
c1 = 1 - c2 - c3
ssf = 0.0
ssf := c1 * (_masrclink + nz(_masrclink[1])) / 2 + c2 * nz(ssf[1]) + c3 * nz(ssf[2])
KAMA(_masrclink, _ma1period) =>
mom = abs(change(_masrclink, _ma1period))
volatility = sum(abs(change(_masrclink)), _ma1period)
er = volatility != 0 ? mom / volatility : 0
fastma_beta_s = 0.666
slowma_beta_s = 0.0645
sc = pow(er * (fastma_beta_s - slowma_beta_s) + slowma_beta_s, 2)
kama = 0.0
kama := sc * _masrclink + (1 - sc) * nz(kama[1])
VAMA(_masrclink, _ma1period) =>
mavol = ema(_masrclink, _ma1period)
madev = _masrclink - mavol
mavu = highest(madev, mavp)
mavd = lowest(madev, mavp)
maok = mavol + avg(mavu, mavd)
FRAMA(_masrclink, _ma1period) =>
int maframalen = _ma1period / 2
mafe = 2.7182818284590452353602874713527
mafw = log(2 / (maframaslow +1)) / log(mafe)
mafH1 = highest(high, maframalen)
mafL1 = lowest(low, maframalen)
mafN1 = (mafH1 - mafL1) / maframalen
mafH2_ = highest(high, maframalen)
mafH2 = mafH2_[maframalen]
mafL2_ = lowest(low, maframalen)
mafL2 = mafL2_[maframalen]
mafN2 = (mafH2 - mafL2) / maframalen
mafH3 = highest(high, _ma1period)
mafL3 = lowest(low, _ma1period)
mafN3 = (mafH3 - mafL3) / _ma1period
madin0 = (log(mafN1 + mafN2) - log(mafN3)) / log(2)
madin = iff(mafN1 > 0 and mafN2 > 0 and mafN3 > 0, madin0, nz(madin0[1]))
madst = exp(mafw * (madin -1))
maoda = madst > 1 ? 1 : (madst < 0.01 ? 0.01 : madst)
maodc = (2 -maoda) / maoda
mafcalc = (((maframaslow - maframafast) * (maodc -1)) / (maframaslow -1)) + maframafast
maalpha = 2 / (mafcalc +1)
alpha = maalpha < 2 / (maframaslow +1) ? 2 / (maframaslow +1) : (maalpha > 1 ? 1 : maalpha)
frama = 0.0
frama :=(1 - alpha) * nz(frama[1]) + alpha * _masrclink
maok = frama
bet = (1 - cos(2 * PI / ma1period)) / (pow(2, 1 / ma1period) - 1)
alph = -bet + sqrt(pow(bet, 2) + 2 * bet)
getGF(poles) =>
filter = 0.0
if poles == 1
filter := alph * masrcl + (1 - alph) * nz(filter[1])
if poles == 2
filter := pow(alph, 2) * masrcl + 2 * (1 - alph) * nz(filter[1]) - pow(1 - alph, 2) * nz(filter[2])
if poles == 3
filter := pow(alph, 3) * masrcl + 3 * (1 - alph) * nz(filter[1]) - 3 * pow(1 - alph, 2) * nz(filter[2]) + pow(1 - alph, 3) * nz(filter[3])
if poles == 4
filter := pow(alph, 4) * masrcl + 4 * (1 - alph) * nz(filter[1]) - 6 * pow(1 - alph, 2) * nz(filter[2]) + 4 * pow(1 - alph, 3) * nz(filter[3]) - pow(1 - alph, 4) * nz(filter[4])
filter
gf = getGF(ma_pn)
D(_masrclink, _ma1period) =>
A1 = exp(-sqrt(2) * PI) / (0.5 * _ma1period)
b1 = 2 * A1 * cos(sqrt(2) * PI / (0.5 * _ma1period))
c2 = b1
c3 = - A1 * A1
c1 = 1 - c2 - c3
Zeros = _masrclink - _masrclink[2]
DSMA = 0.0
ma_beta_s1 = 0.0
Filt = 0.0
Filt := c1 * (Zeros + Zeros[1]) / 2 + c2 * nz(Filt[1]) + c3 * nz(Filt[2])
RMS = stdev(Filt, _ma1period)
ScaledFilt = Filt / RMS
ma_beta_s1 := (abs(ScaledFilt) * 5) / _ma1period
DSMA := (ma_beta_s1 * _masrclink) + (( 1 - ma_beta_s1) * nz(DSMA[1]))
M(_masrclink, _ma1period)=>
mg = 0.0
mg := na(mg[1]) ? ema(_masrclink, _ma1period) : mg[1] + (_masrclink - mg[1]) / (_ma1period * pow(_masrclink / mg[1], 4))
mg
_ma1(_ma1type, _masrclink, _ma1period) =>
float result = 0
if _ma1type=="SMA"
result := sma(_masrclink, _ma1period)
if _ma1type=="EMA"
result := ema(_masrclink, _ma1period)
if _ma1type=="DEMA"
EMA1=ema(_masrclink, _ma1period)
EMA2=ema(EMA1, _ma1period)
result := 2 * EMA1 - EMA2
if _ma1type=="TEMA"
xEMA1 = ema(_masrclink, _ma1period)
xEMA2 = ema(xEMA1, _ma1period)
xEMA3 = ema(xEMA2, _ma1period)
result := 3 * xEMA1 - 3 * xEMA2 + xEMA3
if _ma1type=="ZLEMA"
lag = floor((_ma1period - 1) / 2)
result := ema(_masrclink + (_masrclink - _masrclink[lag]), _ma1period)
if _ma1type=="WMA"
result := wma(_masrclink, _ma1period)
if _ma1type=="SMMA"
w = wma(_masrclink, _ma1period)
result := na(w[1]) ? sma(_masrclink, _ma1period) : (w[1] * (_ma1period - 1) + _masrclink) / _ma1period
if _ma1type=="VWMA"
result := vwma(_masrclink, _ma1period)
if _ma1type=="HMA"
result := wma(2 * wma(_masrclink, _ma1period / 2) - wma(_masrclink, _ma1period), round(sqrt(_ma1period)))
if _ma1type=="ALMA"
result := alma(_masrclink, _ma1period, ma_alma_offset, ma_alma_sigma)
if _ma1type=="JMA"
result := get_jurik(_masrclink, _ma1period, ma_phase, ma_power)
if _ma1type=="Donchian"
result := donchian(_ma1period)
if _ma1type=="KijunSource"
result:=(highest(_masrclink, _ma1period) + lowest(_masrclink, _ma1period)) / 2
if _ma1type=="LSMA"
result := linreg(_masrclink, _ma1period, ma_s_maoffset)
if _ma1type=="Triangular"
result := sma(sma(_masrclink, ceil(_ma1period / 2)), floor(_ma1period / 2) + 1)
if _ma1type=="SuperSmooth"
result := S(_masrclink, _ma1period)
if _ma1type=="KAMA"
result := KAMA(_masrclink, _ma1period)
if _ma1type=="GF"
result := gf
if _ma1type=="DSMA"
result := D(_masrclink, _ma1period)
if _ma1type=="Median"
result:= percentile_nearest_rank(_masrclink, _ma1period, ma_percentage)
if _ma1type=="McGinley"
result:= M(_masrclink, _ma1period)
if _ma1type=="VAMA"
result:= VAMA(_masrclink, _ma1period)
if _ma1type=="FRAMA"
result:= FRAMA(_masrclink, _ma1period)
result
get_jurik2(_masrclink, _ma2period, ma_phase, ma_power) =>
ma_phaseratio = ma_phase < -100 ? 0.5 : ma_phase > 100 ? 2.5 : ma_phase / 100 + 1.5
ma_bet2a = 0.45 * (_ma2period - 1) / (0.45 * (_ma2period - 1) + 2)
ma_bet2a_s = pow(ma_bet2a, ma_power)
jma = 0.0
e0 = 0.0
e0 := (1 - ma_bet2a_s) * _masrclink + ma_bet2a_s * nz(e0[1])
e1 = 0.0
e1 := (_masrclink - e0) * (1 - ma_bet2a) + ma_bet2a * nz(e1[1])
e2 = 0.0
e2 := (e0 + ma_phaseratio * e1 - nz(jma[1])) * pow(1 - ma_bet2a_s, 2) +
pow(ma_bet2a_s, 2) * nz(e2[1])
jma := e2 + nz(jma[1])
jma
donchian2(_ma2period) => avg(lowest(_ma2period), highest(_ma2period))
PI2 = 2 * asin(1)
tau2 = 2 * PI2
S2(_masrclink, _ma2period) =>
arg = sqrt(2) * PI2 / _ma2period
a1 = exp(-arg)
b1 = 2 * a1 * cos(arg)
c2 = b1
c3 = -pow(a1, 2)
c1 = 1 - c2 - c3
ssf = 0.0
ssf := c1 * (_masrclink + nz(_masrclink[1])) / 2 + c2 * nz(ssf[1]) + c3 * nz(ssf[2])
KAMA2(_masrclink, _ma2period) =>
mom = abs(change(_masrclink, _ma2period))
volatility = sum(abs(change(_masrclink)), _ma2period)
er = volatility != 0 ? mom / volatility : 0
fastma_bet2a_s = 0.666
slowma_bet2a_s = 0.0645
sc = pow(er * (fastma_bet2a_s - slowma_bet2a_s) + slowma_bet2a_s, 2)
KAMA2 = 0.0
KAMA2 := sc * _masrclink + (1 - sc) * nz(KAMA2[1])
VAMA2(_masrclink, _ma2period) =>
mavol = ema(_masrclink, _ma2period)
madev = _masrclink - mavol
mavu = highest(madev, mavp)
mavd = lowest(madev, mavp)
maok = mavol + avg(mavu, mavd)
FRAMA2(_masrclink, _ma2period) =>
int maframalen = _ma2period / 2
mafe = 2.7182818284590452353602874713527
mafw = log(2 / (maframaslow +1)) / log(mafe)
mafH1 = highest(high, maframalen)
mafL1 = lowest(low, maframalen)
mafN1 = (mafH1 - mafL1) / maframalen
mafH2_ = highest(high, maframalen)
mafH2 = mafH2_[maframalen]
mafL2_ = lowest(low, maframalen)
mafL2 = mafL2_[maframalen]
mafN2 = (mafH2 - mafL2) / maframalen
mafH3 = highest(high, _ma2period)
mafL3 = lowest(low, _ma2period)
mafN3 = (mafH3 - mafL3) / _ma2period
madin0 = (log(mafN1 + mafN2) - log(mafN3)) / log(2)
madin = iff(mafN1 > 0 and mafN2 > 0 and mafN3 > 0, madin0, nz(madin0[1]))
madst = exp(mafw * (madin -1))
maoda = madst > 1 ? 1 : (madst < 0.01 ? 0.01 : madst)
maodc = (2 - maoda) / maoda
mafcalc = (((maframaslow - maframafast) * (maodc -1)) / (maframaslow -1)) + maframafast
maalpha = 2 / (mafcalc +1)
alpha = maalpha < 2 / (maframaslow +1) ? 2 / (maframaslow +1) : (maalpha > 1 ? 1 : maalpha)
frama = 0.0
frama :=(1 - alpha) * nz(frama[1]) + alpha * _masrclink
maok = frama
bet2 = (1 - cos(2 * PI2 / ma2period)) / (pow(2, 1 / ma2period) - 1)
alph2 = -bet2 + sqrt(pow(bet2, 2) + 2 * bet2)
getgf22(poles) =>
filter = 0.0
if poles == 1
filter := alph2 * masrcl + (1 - alph2) * nz(filter[1])
if poles == 2
filter := pow(alph2, 2) * masrcl + 2 * (1 - alph2) * nz(filter[1]) - pow(1 - alph2, 2) * nz(filter[2])
if poles == 3
filter := pow(alph2, 3) * masrcl + 3 * (1 - alph2) * nz(filter[1]) - 3 * pow(1 - alph2, 2) * nz(filter[2]) + pow(1 - alph2, 3) * nz(filter[3])
if poles == 4
filter := pow(alph2, 4) * masrcl + 4 * (1 - alph2) * nz(filter[1]) - 6 * pow(1 - alph2, 2) * nz(filter[2]) + 4 * pow(1 - alph2, 3) * nz(filter[3]) - pow(1 - alph2, 4) * nz(filter[4])
filter
gf2 = getgf22(ma_pn)
D2(_masrclink,_ma2period) =>
A1 = exp(-sqrt(2) * PI2) / (0.5 * _ma2period)
b1 = 2 * A1 * cos(sqrt(2) * PI2 / (0.5 * _ma2period))
c2 = b1
c3 = - A1 * A1
c1 = 1 - c2 - c3
Zeros = _masrclink - _masrclink[2]
DSMA = 0.0
ma_bet2a_s1 = 0.0
Filt = 0.0
Filt := c1 * ( Zeros + Zeros[1] )/2 + c2 * nz(Filt[1]) + c3 *nz(Filt[2])
RMS = stdev(Filt, _ma2period)
ScaledFilt = Filt / RMS
ma_bet2a_s1 := (abs(ScaledFilt) * 5) / _ma2period
DSMA := (ma_bet2a_s1 * _masrclink) + (( 1 - ma_bet2a_s1 ) * nz(DSMA[1]))
M2(_masrclink, _ma2period)=>
mg = 0.0
mg := na(mg[1]) ? ema(_masrclink, _ma2period) : mg[1] + (_masrclink - mg[1]) / (_ma2period * pow(_masrclink/mg[1], 4))
mg
_ma2(_ma2type, _masrclink, _ma2period) =>
float result = 0
if _ma2type=="SMA"
result := sma(_masrclink, _ma2period)
if _ma2type=="EMA"
result := ema(_masrclink, _ma2period)
if _ma2type=="DEMA"
EMA1=ema(_masrclink, _ma2period)
EMA2=ema(EMA1, _ma2period)
result := 2 * EMA1 - EMA2
if _ma2type=="TEMA"
xEMA1 = ema(_masrclink, _ma2period)
xEMA2 = ema(xEMA1, _ma2period)
xEMA3 = ema(xEMA2, _ma2period)
result := 3 * xEMA1 - 3 * xEMA2 + xEMA3
if _ma2type=="ZLEMA"
lag = floor((_ma2period - 1) / 2)
result := ema(_masrclink + (_masrclink - _masrclink[lag]), _ma2period)
if _ma2type=="WMA"
result := wma(_masrclink, _ma2period)
if _ma2type=="SMMA"
w = wma(_masrclink, _ma2period)
result := na(w[1]) ? sma(_masrclink, _ma2period) : (w[1] * (_ma2period - 1) + _masrclink) / _ma2period
if _ma2type=="VWMA"
result := vwma(_masrclink, _ma2period)
if _ma2type=="HMA"
result := wma(2 * wma(_masrclink, _ma2period / 2) - wma(_masrclink, _ma2period), round(sqrt(_ma2period)))
if _ma2type=="ALMA"
result := alma(_masrclink, _ma2period, ma_alma_offset, ma_alma_sigma)
if _ma2type=="JMA"
result := get_jurik2(_masrclink, _ma2period, ma_phase, ma_power)
if _ma2type=="Donchian"
result := donchian2(_ma2period)
if _ma2type=="KijunSource"
result:=(highest(_masrclink, _ma2period) + lowest(_masrclink, _ma2period))/2
if _ma2type=="LSMA"
result := linreg(_masrclink, _ma2period, ma_s_maoffset)
if _ma2type=="Triangular"
result := sma(sma(_masrclink, ceil(_ma2period / 2)), floor(_ma2period / 2) + 1)
if _ma2type=="SuperSmooth"
result := S2(_masrclink, _ma2period)
if _ma2type=="KAMA"
result := KAMA2(_masrclink, _ma2period)
if _ma2type=="GF"
result := gf2
if _ma2type=="DSMA"
result := D2(_masrclink, _ma2period)
if _ma2type=="Median"
result:= percentile_nearest_rank(_masrclink, _ma2period, ma_percentage)
if _ma2type=="McGinley"
result:= M2(_masrclink, _ma2period)
if _ma2type=="VAMA"
result:= VAMA2(_masrclink, _ma2period)
if _ma2type=="FRAMA"
result:= FRAMA2(_masrclink, _ma2period)
result
get_jurik3(_masrclink, _ma3period, ma_phase, ma_power) =>
ma_phaseratio = ma_phase < -100 ? 0.5 : ma_phase > 100 ? 2.5 : ma_phase / 100 + 1.5
ma_bet3a = 0.45 * (_ma3period - 1) / (0.45 * (_ma3period - 1) + 2)
ma_bet3a_s = pow(ma_bet3a, ma_power)
jma = 0.0
e0 = 0.0
e0 := (1 - ma_bet3a_s) * _masrclink + ma_bet3a_s * nz(e0[1])
e1 = 0.0
e1 := (_masrclink - e0) * (1 - ma_bet3a) + ma_bet3a * nz(e1[1])
e2 = 0.0
e2 := (e0 + ma_phaseratio * e1 - nz(jma[1])) * pow(1 - ma_bet3a_s, 2) +
pow(ma_bet3a_s, 2) * nz(e2[1])
jma := e2 + nz(jma[1])
jma
donchian3(_ma3period) => avg(lowest(_ma3period), highest(_ma3period))
PI3 = 2 * asin(1)
tau3 = 2 * PI3
S3(_masrclink, _ma3period) =>
arg = sqrt(2) * PI3 / _ma3period
a1 = exp(- arg)
b1 = 2 * a1 * cos(arg)
c2 = b1
c3 = -pow(a1, 2)
c1 = 1 - c2 - c3
ssf = 0.0
ssf := c1 * (_masrclink + nz(_masrclink[1])) / 2 + c2 * nz(ssf[1]) + c3 * nz(ssf[2])
KAMA3(_masrclink,_ma3period) =>
mom = abs(change(_masrclink, _ma3period))
volatility = sum(abs(change(_masrclink)), _ma3period)
er = volatility != 0 ? mom / volatility : 0
fastma_bet3a_s = 0.666
slowma_bet3a_s = 0.0645
sc = pow(er * (fastma_bet3a_s - slowma_bet3a_s) + slowma_bet3a_s, 2)
KAMA3 = 0.0
KAMA3 := sc * _masrclink + (1 - sc) * nz(KAMA3[1])
VAMA3(_masrclink, _ma3period) =>
mavol = ema(_masrclink, _ma3period)
madev = _masrclink - mavol
mavu = highest(madev, mavp)
mavd = lowest(madev, mavp)
maok = mavol + avg(mavu, mavd)
FRAMA3(_masrclink,_ma3period) =>
int maframalen = _ma3period / 2
mafe = 2.7182818284590452353602874713527
mafw = log(2 / (maframaslow +1)) / log(mafe)
mafH1 = highest(high, maframalen)
mafL1 = lowest(low, maframalen)
mafN1 = (mafH1-mafL1) / maframalen
mafH2_ = highest(high, maframalen)
mafH2 = mafH2_[maframalen]
mafL2_ = lowest(low, maframalen)
mafL2 = mafL2_[maframalen]
mafN2 = (mafH2 - mafL2) / maframalen
mafH3 = highest(high, _ma3period)
mafL3 = lowest(low, _ma3period)
mafN3 = (mafH3 - mafL3) / _ma3period
madin0 = (log(mafN1 + mafN2) - log(mafN3)) / log(2)
madin = iff(mafN1 > 0 and mafN2 > 0 and mafN3 > 0, madin0, nz(madin0[1]))
madst = exp(mafw * (madin -1))
maoda = madst > 1 ? 1 : (madst < 0.01 ? 0.01 : madst)
maodc = (2 - maoda) / maoda
mafcalc = (((maframaslow - maframafast) * (maodc -1)) / (maframaslow -1)) + maframafast
maalpha = 2/(mafcalc +1)
alpha = maalpha < 2 / (maframaslow +1) ? 2 / (maframaslow +1) : (maalpha > 1 ? 1 : maalpha)
frama = 0.0
frama :=(1 - alpha) * nz(frama[1]) + alpha * _masrclink
maok = frama
bet3 = (1 - cos(2 * PI3 / ma3period)) / (pow(2, 1 / ma3period) - 1)
alph3 = -bet3 + sqrt(pow(bet3, 2) + 2 * bet3)
getgf33(poles) =>
filter = 0.0
if poles == 1
filter := alph3 * masrcl + (1 - alph3) * nz(filter[1])
if poles == 2
filter := pow(alph3, 2) * masrcl + 2 * (1 - alph3) * nz(filter[1]) - pow(1 - alph3, 2) * nz(filter[2])
if poles == 3
filter := pow(alph3, 3) * masrcl + 3 * (1 - alph3) * nz(filter[1]) - 3 * pow(1 - alph3, 2) * nz(filter[2]) + pow(1 - alph3, 3) * nz(filter[3])
if poles == 4
filter := pow(alph3, 4) * masrcl + 4 * (1 - alph3) * nz(filter[1]) - 6 * pow(1 - alph3, 2) * nz(filter[2]) + 4 * pow(1 - alph3, 3) * nz(filter[3]) - pow(1 - alph3, 4) * nz(filter[4])
filter
gf3 = getgf33(ma_pn)
D3(_masrclink, _ma3period) =>
A1 = exp( - sqrt(2) * PI3)/(0.5 * _ma3period)
b1 = 2 * A1 * cos(sqrt(2) * PI3 / (0.5 * _ma3period))
c2 = b1
c3 = - A1 * A1
c1 = 1 - c2 - c3
Zeros = _masrclink - _masrclink[2]
DSMA = 0.0
ma_bet3a_s1 = 0.0
Filt = 0.0
Filt := c1 * ( Zeros + Zeros[1] ) / 2 + c2 * nz(Filt[1]) + c3 * nz(Filt[2])
RMS = stdev(Filt, _ma3period)
ScaledFilt = Filt / RMS
ma_bet3a_s1 := (abs(ScaledFilt) * 5) / _ma3period
DSMA := (ma_bet3a_s1 * _masrclink) + (( 1 - ma_bet3a_s1 ) * nz(DSMA[1]))
M3(_masrclink, _ma3period)=>
mg = 0.0
mg := na(mg[1]) ? ema(_masrclink, _ma3period) : mg[1] + (_masrclink - mg[1]) / (_ma3period * pow(_masrclink / mg[1], 4))
mg
_ma3(_ma3type, _masrclink, _ma3period) =>
float result = 0
if _ma3type=="SMA"
result := sma(_masrclink, _ma3period)
if _ma3type=="EMA"
result := ema(_masrclink, _ma3period)
if _ma3type=="DEMA"
EMA1=ema(_masrclink, _ma3period)
EMA2=ema(EMA1, _ma3period)
result := 2 * EMA1 - EMA2
if _ma3type=="TEMA"
xEMA1 = ema(_masrclink, _ma3period)
xEMA2 = ema(xEMA1, _ma3period)
xEMA3 = ema(xEMA2, _ma3period)
result := 3 * xEMA1 - 3 * xEMA2 + xEMA3
if _ma3type=="ZLEMA"
lag = floor((_ma3period - 1) / 2)
result := ema(_masrclink + (_masrclink - _masrclink[lag]), _ma3period)
if _ma3type=="WMA"
result := wma(_masrclink, _ma3period)
if _ma3type=="SMMA"
w = wma(_masrclink, _ma3period)
result := na(w[1]) ? sma(_masrclink, _ma3period) : (w[1] * (_ma3period - 1) + _masrclink) / _ma3period
if _ma3type=="VWMA"
result := vwma(_masrclink, _ma3period)
if _ma3type=="HMA"
result := wma(2 * wma(_masrclink, _ma3period / 2) - wma(_masrclink, _ma3period), round(sqrt(_ma3period)))
if _ma3type=="ALMA"
result := alma(_masrclink, _ma3period, ma_alma_offset, ma_alma_sigma)
if _ma3type=="JMA"
result := get_jurik3(_masrclink, _ma3period, ma_phase, ma_power)
if _ma3type=="Donchian"
result := donchian3(_ma3period)
if _ma3type=="KijunSource"
result:=(highest(_masrclink, _ma3period) + lowest(_masrclink, _ma3period)) / 2
if _ma3type=="LSMA"
result := linreg(_masrclink, _ma3period, ma_s_maoffset)
if _ma3type=="Triangular"
result := sma(sma(_masrclink, ceil(_ma3period / 2)), floor(_ma3period / 2) + 1)
if _ma3type=="SuperSmooth"
result := S3(_masrclink, _ma3period)
if _ma3type=="KAMA"
result := KAMA3(_masrclink, _ma3period)
if _ma3type=="GF"
result := gf3
if _ma3type=="DSMA"
result := D3(_masrclink, _ma3period)
if _ma3type=="Median"
result:= percentile_nearest_rank(_masrclink, _ma3period, ma_percentage)
if _ma3type=="McGinley"
result:= M3(_masrclink, _ma3period)
if _ma3type=="VAMA"
result:= VAMA3(_masrclink, _ma3period)
if _ma3type=="FRAMA"
result:= FRAMA3(_masrclink, _ma3period)
result
forecast(_ma1type, _masrclink, _flen, _lrlen) =>
linreg_1 = linreg(_masrclink, _lrlen, _flen)
_ma1type == "MA Source" ? _masrclink : _ma1type == "Linear Regression" ? linreg_1 : na
forecast_2(_ma2type, _masrclink, _flen, _lrlen) =>
linreg_2 = linreg(_masrclink, _lrlen, _flen)
_ma2type == "MA Source" ? _masrclink : _ma2type == "Linear Regression" ? linreg_2 : na
forecast_3(_ma3type, _masrclink, _flen, _lrlen) =>
linreg_3 = linreg(_masrclink, _lrlen, _flen)
_ma3type == "MA Source" ? _masrclink : _ma3type == "Linear Regression" ? linreg_3 : na
forecast_4(_ma1type, _masrclink, _flen, _lrlen) =>
linreg_4 = linreg(_masrclink, _lrlen, _flen)
_ma1type == "MA Source" ? _masrclink : _ma1type == "Linear Regression" ? linreg_4 : na
forecast_5(_ma2type, _masrclink, _flen, _lrlen) =>
linreg_5 = linreg(_masrclink, _lrlen, _flen)
_ma2type == "MA Source" ? _masrclink : _ma2type == "Linear Regression" ? linreg_5 : na
forecast_6(_ma3type, _masrclink, _flen, _lrlen) =>
linreg_6 = linreg(_masrclink, _lrlen, _flen)
_ma3type == "MA Source" ? _masrclink : _ma3type == "Linear Regression" ? linreg_6 : na
ma1col = #3498DB
ma2col = #FFA500
ma3col = #FF00FF
forecastloopback = realtimeforecast ? 0 : 1
masrclink = masrcl[forecastloopback]
ma1plot = _ma1(ma1type, masrclink, ma1period)
ma2plot = _ma2(ma2type, masrclink, ma2period)
ma3plot = _ma3(ma3type, masrclink, ma3period)
macross = cross(ma1plot, ma2plot) and showmacross ? ma1plot : na
forecast1 = forecast(forecasttype, masrclink, 1, lnperiod)
forecast2 = forecast_2(forecasttype, masrclink, 2, lnperiod)
forecast3 = forecast_3(forecasttype, masrclink, 3, lnperiod)
forecast4 = forecast_4(forecasttype, masrclink, 4, lnperiod)
forecast5 = forecast_5(forecasttype, masrclink, 5, lnperiod)
forecast6 = forecast_6 (forecasttype, masrclink, 6, lnperiod)
//Calculation
ma1typep1 = _ma1(ma1type, masrclink, ma1period - 1)
ma1forecast1 = ma1 ? (ma1typep1 * (ma1period - 1) + forecast1) / ma1period : na
ma1typep2 = _ma1(ma1type, masrclink, ma1period - 2)
ma1forecast2 = ma1 ? (ma1typep2 * (ma1period - 2) + forecast1 + forecast2) / ma1period : na
ma1typep3 = _ma1(ma1type, masrclink, ma1period - 3)
ma1forecast3 = ma1 ? (ma1typep3 * (ma1period - 3) + forecast1 + forecast2 + forecast3) / ma1period : na
ma1typep4 = _ma2(ma2type, masrclink, ma1period - 4)
ma1forecast4 = ma1 ? (ma1typep4 * (ma1period - 4) + forecast1 + forecast2 + forecast3 + forecast4) / ma1period : na
ma1typep5 = _ma2(ma2type, masrclink, ma1period - 5)
ma1forecast5 = ma1 ? (ma1typep5 * (ma1period - 5) + forecast1 + forecast2 + forecast3 + forecast4 + forecast5) / ma1period : na
ma1typep6 = _ma2(ma2type, masrclink, ma1period - 6)
ma1forecast6 = ma1 ? (ma1typep6 * (ma1period - 6) + forecast1 + forecast2 + forecast3 + forecast4 + forecast5 + forecast6) / ma1period : na
ma2typep7 = _ma2(ma2type, masrclink, ma2period - 1)
ma2forecast1 = ma2 ? (ma2typep7 * (ma2period - 1) + forecast1) / ma2period : na
ma2typep8 = _ma2(ma2type, masrclink, ma2period - 2)
ma2forecast2 = ma2 ? (ma2typep8 * (ma2period - 2) + forecast1 + forecast2) / ma2period : na
ma2typep9 = _ma2(ma2type, masrclink, ma2period - 3)
ma2forecast3 = ma2 ? (ma2typep9 * (ma2period - 3) + forecast1 + forecast2 + forecast3) / ma2period : na
ma2typep10 = _ma2(ma2type, masrclink, ma2period - 4)
ma2forecast4 = ma2 ? (ma2typep10 * (ma2period - 4) + forecast1 + forecast2 + forecast3 + forecast4) / ma2period : na
ma2typep11 = _ma2(ma2type, masrclink, ma2period - 5)
ma2forecast5 = ma2 ? (ma2typep11 * (ma2period - 5) + forecast1 + forecast2 + forecast3 + forecast4 + forecast5) / ma2period : na
ma2typep12 = _ma2(ma2type, masrclink, ma2period - 6)
ma2forecast6 = ma2 ? (ma2typep12 * (ma2period - 6) + forecast1 + forecast2 + forecast3 + forecast4 + forecast5 + forecast6) / ma2period : na
ma3typep13 = _ma3(ma3type, masrclink, ma3period - 1)
ma3forecast1 = ma3 ? (ma3typep13 * (ma3period - 1) + forecast1) / ma3period : na
ma3typep14 = _ma3(ma3type, masrclink, ma3period - 2)
ma3forecast2 = ma3 ? (ma3typep14 * (ma3period - 2) + forecast1 + forecast2) / ma3period : na
ma3typep15 = _ma3(ma3type, masrclink, ma3period - 3)
ma3forecast3 = ma3 ? (ma3typep15 * (ma3period - 3) + forecast1 + forecast2 + forecast3) / ma3period : na
ma3typep16 = _ma3(ma3type, masrclink, ma3period - 4)
ma3forecast4 = ma3 ? (ma3typep16 * (ma3period - 4) + forecast1 + forecast2 + forecast3 + forecast4) / ma3period : na
ma3typep17 = _ma3(ma3type, masrclink, ma3period - 5)
ma3forecast5 = ma3 ? (ma3typep17 * (ma3period - 5) + forecast1 + forecast2 + forecast3 + forecast4 + forecast5) / ma3period : na
ma3typep18 = _ma3(ma3type, masrclink, ma3period - 6)
ma3forecast6 = ma3 ? (ma3typep18 * (ma3period - 6) + forecast1 + forecast2 + forecast3 + forecast4 + forecast5 + forecast6) / ma3period : na
//Plotting
plot(ma1 ? ma1plot : na, color=ma1col, linewidth=2, offset=-1 * forecastloopback, title="MA1")
plot(ma2 ? ma2plot : na, color=ma2col, linewidth=2, offset=-1 * forecastloopback, title="MA2")
plot(ma3 ? ma3plot : na, color=ma3col, linewidth=2, offset=-1 * forecastloopback, title="MA3")
plot(maforecasting ? ma1forecast1 : na, color=ma1col, linewidth=2, style=plot.style_circles, title="MA1 Forecast 1", offset=1 - forecastloopback, show_last=1)
plot(maforecasting ? ma1forecast2 : na, color=ma1col, linewidth=2, style=plot.style_circles, title="MA1 Forecast 2", offset=2 - forecastloopback, show_last=1)
plot(maforecasting ? ma1forecast3 : na, color=ma1col, linewidth=2, style=plot.style_circles, title="MA1 Forecast 3", offset=3 - forecastloopback, show_last=1)
plot(maforecasting ? ma1forecast4 : na, color=ma1col, linewidth=2, style=plot.style_circles, title="MA1 Forecast 4", offset=4 - forecastloopback, show_last=1)
plot(maforecasting ? ma1forecast5 : na, color=ma1col, linewidth=2, style=plot.style_circles, title="MA1 Forecast 5", offset=5 - forecastloopback, show_last=1)
plot(maforecasting ? ma2forecast1 : na, color=ma2col, linewidth=2, style=plot.style_circles, title="MA2 Forecast 1", offset=1 - forecastloopback, show_last=1)
plot(maforecasting ? ma2forecast2 : na, color=ma2col, linewidth=2, style=plot.style_circles, title="MA2 Forecast 2", offset=2 - forecastloopback, show_last=1)
plot(maforecasting ? ma2forecast3 : na, color=ma2col, linewidth=2, style=plot.style_circles, title="MA2 Forecast 3", offset=3 - forecastloopback, show_last=1)
plot(maforecasting ? ma2forecast4 : na, color=ma2col, linewidth=2, style=plot.style_circles, title="MA2 Forecast 4", offset=4 - forecastloopback, show_last=1)
plot(maforecasting ? ma2forecast5 : na, color=ma2col, linewidth=2, style=plot.style_circles, title="MA2 Forecast 5", offset=5 - forecastloopback, show_last=1)
plot(maforecasting ? ma3forecast1 : na, color=ma3col, linewidth=2, style=plot.style_circles, title="MA3 Forecast 1", offset=1 - forecastloopback, show_last=1)
plot(maforecasting ? ma3forecast2 : na, color=ma3col, linewidth=2, style=plot.style_circles, title="MA3 Forecast 2", offset=2 - forecastloopback, show_last=1)
plot(maforecasting ? ma3forecast3 : na, color=ma3col, linewidth=2, style=plot.style_circles, title="MA3 Forecast 3", offset=3 - forecastloopback, show_last=1)
plot(maforecasting ? ma3forecast4 : na, color=ma3col, linewidth=2, style=plot.style_circles, title="MA3 Forecast 4", offset=4 - forecastloopback, show_last=1)
plot(maforecasting ? ma3forecast5 : na, color=ma3col, linewidth=2, style=plot.style_circles, title="MA3 Forecast 5", offset=5 - forecastloopback, show_last=1)
plot(macross, "MA Cross", color=color.yellow, linewidth=3, style=plot.style_cross)
//Alerts
alertcondition(crossover(ma1plot, ma2plot) or crossunder(ma1plot, ma2plot), title="MA1 and MA2 Cross", message='MA1 and MA2 Cross')
//RSI Range Filter
//Inputs
rsilen = input(defval=14, title="RSI Length", type=input.integer, minval=1)
rsiob = input(defval=60, title="RSI Filter Overbought Threshold")
rsios = input(defval=40, title="RSI Filter Oversold Threshold")
//Settings
rsifilter = rsi(close, rsilen)
rsifilterob = rsifilter >= rsiob ? #67ac5b : na
rsifilteros = rsifilter <= rsios ? #d63964 : na
rsifilter_range = rsifilter < rsiob and rsifilter > rsios ? color.new(color.gray, transp=95) : na
//Bar Color
barcolor(showrsifilter ? rsifilterob : na)
barcolor(showrsifilter ? rsifilteros : na)
barcolor(showrsifilter ? rsifilter_range : na)The content covered on this website is NOT investment advice and I am not a financial advisor.