सुपरट्रेंड की गणना में 100 अवधि के घातीय चलती औसत और 0.5 एटीआर गुणक को जोड़कर चल रहे रुझान का स्पष्ट दृश्य प्राप्त करना और महत्वपूर्ण समर्थन और प्रतिरोध भी प्रदान करना।
डिफ़ॉल्ट मूविंग एवरेज प्रकार ईएमए (एक्सपोनेंशियल मूविंग एवरेज) के रूप में सेट है लेकिन उपयोगकर्ता 11 अलग-अलग मूविंग एवरेज प्रकारों में से चुन सकते हैंः
SMA: सरल चलती औसत ईएमएः घातीय चलती औसत WMA: भारित चलती औसत डीईएमएः डबल एक्सपोनेंशियल मूविंग एवरेज TMA: त्रिकोणीय चलती औसत वीएआरः चर सूचकांक गतिशील चलती औसत तथाकथित VIDYA WWMA: वेल्स वाइल्डर का चलती औसत ZLEMA: शून्य विलंब घातीय चलती औसत टीएसएफ: सच्ची शक्ति बल HULL: Hull चलती औसत TILL: Tillson T3 चलती औसत
जनता के साथ अपने विकास को साझा करने के लिए @CryptoErge को क्रेडिट।
बैकटेस्ट
/*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)