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TMA-Legacy

Penulis:ChaoZhang, Tanggal: 2022-05-09 22:38:11
Tag:RSI

Ini adalah skrip berdasarkan indikator Divergensi TMA-RSI asli oleh PhoenixBinary. Komunitas Phoenix Binary dan komunitas TMA membangun versi ini untuk menjadi kode publik bagi komunitas untuk penggunaan lebih lanjut dan revisi setelah dilaporkan meninggalnya Phoenix Binary (Komunitas menyampaikan belasungkawa kami kepada keluarga Phoenix.

Penggunaan yang dimaksudkan sama dengan yang asli tetapi beberapa perhitungan berbeda dan mungkin tidak bertindak atau sinyal sama dengan yang asli.

Deskripsi indikator dari posting asli. Indikator ini terinspirasi oleh Arty dan Christy.

â–ˆ Komponen

Berikut ini adalah gambaran singkat dari indikator dari posting asli:

1 RSI Divergensi Arty menggunakan divergensi RSI sebagai alat untuk menemukan titik masuk dan kemungkinan pembalikan. Dia tidak menggunakan overbought / oversold tradisional. Dia menggunakan garis 50. Indikator ini mencakup garis 50 dan garis 50 yang mengambang. Garis 50 yang mengambang adalah rata-rata bergerak multifram waktu yang disederhanakan. Harga tidak linier, oleh karena itu, garis 50 Anda juga seharusnya tidak. Garis RSI menggunakan algoritma warna dinamis yang menunjukkan kendali pasar saat ini serta kemungkinan titik balik di pasar.

2 Divergensi RSI yang dihaluskan Divergensi RSI yang diluruskan adalah RSI yang lebih lambat dengan perhitungan yang berbeda untuk meluruskan garis RSI. Ini memberikan perspektif aksi harga yang berbeda dan lebih dari perspektif jangka panjang dari tren.

3 Divergensi Momentum Ini akan memakan waktu untuk dikuasai, tapi, begitu kau menguasai ini, dan dikombinasikan dengan dua lainnya, sialan entri ini benar-benar mematikan!

backtest

img

/*backtest
start: 2022-02-08 00:00:00
end: 2022-05-08 00:00:00
period: 2h
basePeriod: 15m
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/
// ©Hotchachachaa, Rest in Peace Pheonix Algo(aka Doug) your community misses you and we extend our deepest sympathies to your family. 
//@version=5
//
//This indicator is based on the TMA-Divergence indicator created by PhoenixBinary for the TMA discord Community. Since Phoenix is no longer part of the community
//we did our best to recreate the indicator for the community's continued use updates and revisions. 
indicator("TMA-Legacy", overlay=false)

////////////////////////////////////inputs////////////////////////////////////////////////

displayRSI = input.string(title="RSI Type", defval="RSI Divergence", options=["RSI Divergence","RSI Smoothed","RSI Momentum"],group="Main Settings")
lenrsinordiv = input.int(title="RSI Normal Length", defval=14,minval=1, group= "RSI Normal")
lenrsismodiv = input.int(title="RSI Smoothed Length", defval=40, minval=1,group = "RSI Smoothed" )
lenrsissmoma = input.int(title="RSI Smoothed MA", defval=40,minval=1, group = "RSI Smoothed" )
lenrsimomdiv = input.int(title="RSI Normal Length", defval=5 ,minval=1, group = "RSI Momentum")
rsimommalen = input.int(34, minval=1, title="Smooth RSI MA Length",group="RSI Momentum")
srcrsidiv = input(title="RSI Source", defval=close, group="Main Settings")
lbR = input.int(title="Pivot Lookback Right", defval=5,minval=1,group="Divergence Spotter")
lbL = input.int(title="Pivot Lookback Left", defval=5,minval=1,group="Divergence Spotter")
rangeUpper = input.int(title="Max of Lookback Range", defval=60,minval=1,group="Divergence Spotter")
rangeLower = input.int(title="Min of Lookback Range", defval=5,minval=1,group="Divergence Spotter")
plotBull = input.bool(title="Plot Bullish", defval=true,group="Divergence Spotter")
plotHiddenBull = input.bool(title="Plot Hidden Bullish", defval=true,group="Divergence Spotter")
plotBear = input.bool(title="Plot Bearish", defval=true,group="Divergence Spotter")
plotHiddenBear = input.bool(title="Plot Hidden Bearish", defval=true,group="Divergence Spotter")
bearColorrsidiv = color.red
bullColorrsidiv = color.green
hiddenBullColor = color.new(color.green, 80)
hiddenBearColor = color.new(color.red, 80)
textColor = color.white
noneColor = color.new(color.white, 100)
lenDisplay= displayRSI == "RSI Divergence" ? lenrsinordiv: displayRSI == "RSI Smoothed" ? lenrsismodiv: na
rsiValue1 = ta.rsi(srcrsidiv, lenrsinordiv)

// ### Smoothed MA

averageSource = rsiValue1
typeofMA1 = "SMMA"
length_ma1 = 50
f_smma(averageSource, averageLength) =>
    smma = 0.0
    smma := na(smma[1]) ? ta.sma(averageSource, averageLength) : (smma[1] * (averageLength - 1) + averageSource) / averageLength
    smma
    
f_smwma(averageSource, averageLength) =>
    smwma = 0.0
    smwma := na(smwma[1]) ? ta.wma(averageSource, averageLength) : (smwma[1] * (averageLength - 1) + averageSource) / averageLength
    smwma
    
f_tma(averageSource, averageLength) =>
    ta.sma(ta.sma(averageSource, averageLength), averageLength)

f_dema(averageSource, averageLength) =>
    emaValue = ta.ema(averageSource, averageLength)
    2 * emaValue - ta.ema(emaValue, averageLength)

f_tema(averageSource, averageLength) =>
    ema1 = ta.ema(averageSource, averageLength)
    ema2 = ta.ema(ema1, averageLength)
    ema3 = ta.ema(ema2, averageLength)
    (3 * ema1) - (3 * ema2) + ema3 

f_ma(smoothing, averageSource, averageLength) =>
	switch str.upper(smoothing)
        "SMA"  => ta.sma(averageSource, averageLength)
        "EMA"  => ta.ema(averageSource, averageLength)
        "WMA"  => ta.wma(averageSource, averageLength)
        "HMA"  => ta.hma(averageSource, averageLength)
        "RMA"  => ta.rma(averageSource, averageLength)
        "SWMA" => ta.swma(averageSource)
        "ALMA" => ta.alma(averageSource, averageLength, 0.85, 6)
        "VWMA" => ta.vwma(averageSource, averageLength)
        "VWAP" => ta.vwap(averageSource)
        "SMMA" =>  f_smma(averageSource, averageLength)
        "SMWMA" =>  f_smwma(averageSource, averageLength)
        "DEMA" => f_dema(averageSource, averageLength)
        "TEMA"=>  f_tema(averageSource, averageLength)
        => runtime.error("Moving average type '" + smoothing + 
             "' not found!"), na
             
             
MA1 = f_ma(typeofMA1, averageSource, length_ma1)
showNormal=displayRSI=="RSI Divergence"
showSmoothed=displayRSI=="RSI Smoothed"
showMomentum = displayRSI =="RSI Momentum"
showAll= displayRSI=="All Three"
///////OB/OS lines

hline(showNormal or showSmoothed ? 80 :na, title="OverBought", linestyle=hline.style_dotted, linewidth=2)
hline(showNormal or showSmoothed ? 20 :na, title="OverSold", linestyle=hline.style_dotted, linewidth=2)
////////////////show normal

plot(showNormal? MA1 : na , linewidth=2, color=color.white)

var int colortoken=1

color1= color.green
color2 = color.yellow
color3 = color.orange
color4 = color.red

if rsiValue1>rsiValue1[1] and colortoken!=1
    colortoken:= colortoken[1] - 1

if rsiValue1<rsiValue1[1] and colortoken!=4
    colortoken:= colortoken[1] + 1 

lineColor= colortoken == 1 ? color1: colortoken ==2 ? color2 : colortoken == 3 ? color3 : colortoken == 4 ? color4 :na

plot(showNormal? rsiValue1 : na, title="RSI", linewidth=3, color=lineColor)



	
////////////show smoothed
lensig = input.int(14, title="ADX Smoothing", minval=1, maxval=50)
len = input.int(14, minval=1, title="DI Length")
up = ta.change(high)
down = -ta.change(low)
plusDM = na(up) ? na : (up > down and up > 0 ? up : 0)
minusDM = na(down) ? na : (down > up and down > 0 ? down : 0)
trur = ta.rma(ta.tr, len)
plus = fixnan(100 * ta.rma(plusDM, len) / trur)
minus = fixnan(100 * ta.rma(minusDM, len) / trur)
sum = plus + minus
adx = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), lensig)
rsisrc = ta.rsi(close,lenrsismodiv)
adxthreshold=input.int(title="adx",defval=15)
smoothColor= adx>adxthreshold and plus>minus? color.green:adx>adxthreshold and plus<minus?color.red : adx<adxthreshold?color.gray:na

rsismma = 0.0
rsismma := na(rsismma[1]) ? ta.sma(rsisrc, lenrsissmoma) : (rsismma[1] * (lenrsissmoma - 1) + rsisrc) / lenrsissmoma
rsiwsmma= ta.wma(rsismma,lenrsissmoma)
plot(showSmoothed ? rsisrc:na, linewidth=2, color=smoothColor)
plot(showSmoothed ? rsiwsmma:na, linewidth=2, color=color.white)


////////////////RSI momentum
///////////////////// normal RSI
rsiValue2 = ta.rsi(ohlc4,lenrsimomdiv)
rsiema = ta.wma(rsiValue2,rsimommalen)
normalizedRSI= (rsiValue2-50)/100

/////////////////// Normal Momentum
lenmom = input.int(5, minval=1, title=" MOM Length",group= "RSI Momentum")
srcmom = ohlc4
mom = srcmom - srcmom[lenmom]

//////////stochRSI K line
smoothK = input.int(5, "K", minval=1)
lengthRSI = input.int(5, "RSI Length", minval=1, group="RSI Momentum")
lengthStoch = input.int(34, "Stochastic Length", minval=1,group= "RSI Momentum")
src = input(ohlc4, title="RSI Source",group= "RSI Momentum")
rsi1 = ta.rsi(src, lengthRSI)
k = ((ta.sma(ta.stoch(rsi1, rsi1, rsi1, lengthStoch), smoothK))-50)/100

WTF=math.avg(mom,normalizedRSI,k)
smmaLen = input.int(25, minval=1, title="SMMA Length", group = "RSI Momentum")
smmaLen1= 2
smmaSrc = WTF
WTFsmma = 0.0
WTFsmma := na(WTFsmma[1]) ? ta.sma(smmaSrc, smmaLen1) : (WTFsmma[1] * (smmaLen1 - 1) + smmaSrc) / smmaLen1
smma = 0.0
smma := na(smma[1]) ? ta.sma(smmaSrc, smmaLen) : (smma[1] * (smmaLen - 1) + smmaSrc) / smmaLen


color1a= #0E3F01
color2a = #31FA2A
color3a = #FA6B6B
color4a = #971643

momentumColor= WTF>WTF[1] and WTF>smma ? color1a : WTF<WTF[1] and WTF>smma ? color2a : WTF>WTF[1] and WTF<smma ? color3a : WTF<WTF[1] and WTF<smma ? color4a : na



plot(showMomentum ? WTF:na, color=momentumColor, linewidth=3)
plot(showMomentum ? smma:na , linewidth=2, color=color.white)



osc= displayRSI =="RSI Divergence" ? rsiValue1 : displayRSI =="RSI Smoothed" ? rsisrc:na 

///////////divergence
plFound = na(ta.pivotlow(osc, lbL, lbR)) ? false : true
phFound = na(ta.pivothigh(osc, lbL, lbR)) ? false : true
_inRange(cond) =>
	bars = ta.barssince(cond == true)
	rangeLower <= bars and bars <= rangeUpper
	
//------------------------------------------------------------------------------
// Regular Bullish
// Osc: Higher Low

oscHL = osc[lbR] > ta.valuewhen(plFound, osc[lbR], 1) and _inRange(plFound[1])

// Price: Lower Low

priceLL = low[lbR] < ta.valuewhen(plFound, low[lbR], 1)
bullCond = plotBull and priceLL and oscHL and plFound

plot(
     displayRSI !="RSI Momentum"and plFound ? osc[lbR] : na,
     offset=-lbR,
     title="Regular Bullish",
     linewidth=2,
     color=(bullCond ? bullColorrsidiv : noneColor)
    
     )



//------------------------------------------------------------------------------
// Hidden Bullish
// Osc: Lower Low

oscLL = osc[lbR] < ta.valuewhen(plFound, osc[lbR], 1) and _inRange(plFound[1])

// Price: Higher Low

priceHL = low[lbR] > ta.valuewhen(plFound, low[lbR], 1)
hiddenBullCond = plotHiddenBull and priceHL and oscLL and plFound

plot(
	 displayRSI !="RSI Momentum" and plFound ? osc[lbR] : na,
	 offset=-lbR,
	 title="Hidden Bullish",
	 linewidth=2,
	 color=(hiddenBullCond ? hiddenBullColor : noneColor)

	 )



//------------------------------------------------------------------------------
// Regular Bearish
// Osc: Lower High

oscLH = osc[lbR] < ta.valuewhen(phFound, osc[lbR], 1) and _inRange(phFound[1])

// Price: Higher High

priceHH = high[lbR] > ta.valuewhen(phFound, high[lbR], 1)

bearCond = plotBear and priceHH and oscLH and phFound

plot(
	 displayRSI !="RSI Momentum" and phFound ? osc[lbR] : na,
	 offset=-lbR,
	 title="Regular Bearish",
	 linewidth=2,
	 color=(bearCond ? bearColorrsidiv : noneColor)

	 )


//------------------------------------------------------------------------------
// Hidden Bearish
// Osc: Higher High

oscHH = osc[lbR] > ta.valuewhen(phFound, osc[lbR], 1) and _inRange(phFound[1])

// Price: Lower High

priceLH = high[lbR] < ta.valuewhen(phFound, high[lbR], 1)

hiddenBearCond = plotHiddenBear and priceLH and oscHH and phFound

plot(
	 displayRSI !="RSI Momentum" and phFound ? osc[lbR] : na,
	 offset=-lbR,
	 title="Hidden Bearish",
	 linewidth=2,
	 color=(hiddenBearCond ? hiddenBearColor : noneColor)

	 )



// ### Alerts


if bearCond
    alert("Bearish Divergence")
else if hiddenBearCond
    alert("Hidden Bearish Divergence")
else if bullCond
    alert("Bullish Divergence")
else if hiddenBullCond
    alert("Hidden Bullish Divergence")

if hiddenBullCond
    strategy.entry("Enter Long", strategy.long)
else if hiddenBearCond
    strategy.entry("Enter Short", strategy.short)


// END ###
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