adding 100 periods Exponential Moving Average in calculation of SuperTrend and also 0.5 ATR Multiplier to have a clear view of the ongoing trend and also provides significant Supports and Resistances.
Default Moving Average type set as EMA ( Exponential Moving Average ) but users can choose from 11 different Moving Average types as:
SMA : Simple Moving Average EMA : Exponential Moving Average WMA : Weighted Moving Average DEMA : Double Exponential Moving Average TMA : Triangular Moving Average VAR : Variable Index Dynamic Moving Average a.k.a. VIDYA WWMA : Welles Wilder’s Moving Average ZLEMA : Zero Lag Exponential Moving Average TSF : True Strength Force HULL : Hull Moving Average TILL : Tillson T3 Moving Average
Credits going to @CryptoErge for sharing his development to public.
backtest
/*backtest start: 2022-04-22 00:00:00 end: 2022-05-21 23:59:00 period: 10m basePeriod: 1m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 indicator('SuperTrended Moving Averages', 'ST MA', overlay=true, format=format.price, precision=2, timeframe='', timeframe_gaps=false) src = input(close, title='Source') mav = input.string(title='Moving Average Type', defval='EMA', options=['SMA', 'EMA', 'WMA', 'DEMA', 'TMA', 'VAR', 'WWMA', 'ZLEMA', 'TSF', 'HULL', 'TILL']) length = input.int(100, 'Moving Average Length', minval=1) Periods = input(title='ATR Period', defval=10) Multiplier = input.float(title='ATR Multiplier', step=0.1, defval=0.5) changeATR = input(title='Change ATR Calculation Method ?', defval=true) showsignals = input(title='Show Buy/Sell Signals ?', defval=false) highlighting = input(title='Highlighter On/Off ?', defval=true) T3a1 = input.float(0.7, 'TILLSON T3 Volume Factor', step=0.1) Var_Func(src, length) => valpha = 2 / (length + 1) vud1 = src > src[1] ? src - src[1] : 0 vdd1 = src < src[1] ? src[1] - src : 0 vUD = math.sum(vud1, 9) vDD = math.sum(vdd1, 9) vCMO = nz((vUD - vDD) / (vUD + vDD)) VAR = 0.0 VAR := nz(valpha * math.abs(vCMO) * src) + (1 - valpha * math.abs(vCMO)) * nz(VAR[1]) VAR VAR = Var_Func(src, length) DEMA = 2 * ta.ema(src, length) - ta.ema(ta.ema(src, length), length) Wwma_Func(src, length) => wwalpha = 1 / length WWMA = 0.0 WWMA := wwalpha * src + (1 - wwalpha) * nz(WWMA[1]) WWMA WWMA = Wwma_Func(src, length) Zlema_Func(src, length) => zxLag = length / 2 == math.round(length / 2) ? length / 2 : (length - 1) / 2 zxEMAData = src + src - src[zxLag] ZLEMA = ta.ema(zxEMAData, length) ZLEMA ZLEMA = Zlema_Func(src, length) Tsf_Func(src, length) => lrc = ta.linreg(src, length, 0) lrc1 = ta.linreg(src, length, 1) lrs = lrc - lrc1 TSF = ta.linreg(src, length, 0) + lrs TSF TSF = Tsf_Func(src, length) HMA = ta.wma(2 * ta.wma(src, length / 2) - ta.wma(src, length), math.round(math.sqrt(length))) T3e1 = ta.ema(src, length) T3e2 = ta.ema(T3e1, length) T3e3 = ta.ema(T3e2, length) T3e4 = ta.ema(T3e3, length) T3e5 = ta.ema(T3e4, length) T3e6 = ta.ema(T3e5, length) T3c1 = -T3a1 * T3a1 * T3a1 T3c2 = 3 * T3a1 * T3a1 + 3 * T3a1 * T3a1 * T3a1 T3c3 = -6 * T3a1 * T3a1 - 3 * T3a1 - 3 * T3a1 * T3a1 * T3a1 T3c4 = 1 + 3 * T3a1 + T3a1 * T3a1 * T3a1 + 3 * T3a1 * T3a1 T3 = T3c1 * T3e6 + T3c2 * T3e5 + T3c3 * T3e4 + T3c4 * T3e3 getMA(src, length) => ma = 0.0 if mav == 'SMA' ma := ta.sma(src, length) ma if mav == 'EMA' ma := ta.ema(src, length) ma if mav == 'WMA' ma := ta.wma(src, length) ma if mav == 'DEMA' ma := DEMA ma if mav == 'TMA' ma := ta.sma(ta.sma(src, math.ceil(length / 2)), math.floor(length / 2) + 1) ma if mav == 'VAR' ma := VAR ma if mav == 'WWMA' ma := WWMA ma if mav == 'ZLEMA' ma := ZLEMA ma if mav == 'TSF' ma := TSF ma if mav == 'HULL' ma := HMA ma if mav == 'TILL' ma := T3 ma ma MA = getMA(src, length) atr2 = ta.sma(ta.tr, Periods) atr = changeATR ? ta.atr(Periods) : atr2 up = MA - Multiplier * atr up1 = nz(up[1], up) up := close[1] > up1 ? math.max(up, up1) : up dn = MA + Multiplier * atr dn1 = nz(dn[1], dn) dn := close[1] < dn1 ? math.min(dn, dn1) : dn trend = 1 trend := nz(trend[1], trend) trend := trend == -1 and close > dn1 ? 1 : trend == 1 and close < up1 ? -1 : trend upPlot = plot(trend == 1 ? up : na, title='Up Trend', color=color.new(color.green, 100), linewidth=0, style=plot.style_linebr) buySignal = trend == 1 and trend[1] == -1 plotshape(buySignal ? up : na, title='UpTrend Begins', location=location.absolute, style=shape.circle, size=size.tiny, color=color.new(color.green, 100)) plotshape(buySignal and showsignals ? up : na, title='Buy', text='Buy', location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(color.green, 0), textcolor=color.new(color.white, 0)) dnPlot = plot(trend == 1 ? na : dn, title='Down Trend', style=plot.style_linebr, linewidth=0, color=color.new(color.red, 100)) sellSignal = trend == -1 and trend[1] == 1 plotshape(sellSignal ? dn : na, title='DownTrend Begins', location=location.absolute, style=shape.circle, size=size.tiny, color=color.new(color.red, 100)) plotshape(sellSignal and showsignals ? dn : na, title='Sell', text='Sell', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(color.red, 0), textcolor=color.new(color.white, 0)) mPlot = plot(ohlc4, title='', style=plot.style_circles, linewidth=0) colorup = input.color(defval = color.new(color.green, 60), title = "ColorU", inline = 'color') colordown = input.color(defval = color.new(color.red, 60), title = "ColorD", inline = 'color') longFillColor = highlighting ? trend == 1 ? colorup : color.white : color.new(color.white, 100) shortFillColor = highlighting ? trend == -1 ? colordown : color.white : color.new(color.white, 100) fill(mPlot, upPlot, title='UpTrend Highligter', color=longFillColor) fill(mPlot, dnPlot, title='DownTrend Highligter', color=shortFillColor) alertcondition(buySignal, title='SuperTrend Buy', message='SuperTrend Buy!') alertcondition(sellSignal, title='SuperTrend Sell', message='SuperTrend Sell!') changeCond = trend != trend[1] alertcondition(changeCond, title='SuperTrend Direction Change', message='SuperTrend has changed direction!') if buySignal strategy.entry("Enter Long", strategy.long) else if sellSignal strategy.entry("Enter Short", strategy.short)