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Strategy vault / Trend following

SuperTrended Moving Averages

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…

Author
ChaoZhang
Complexity
Intermediate · 160 lines
Parameters
11
Backtest bar
10m · intraday
Tested on
BTC/USDT · futures

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

IMG

Parameters

NameDefaultWhat it controls
v_input_1_close0Source: close | high | low | open | hl2 | hlc3 | hlcc4 | ohlc4
v_input_string_10Moving Average Type: EMA | SMA | WMA | DEMA | TMA | VAR | WWMA | ZLEMA | TSF | HULL | TILL
v_input_int_1100Moving Average Length
v_input_210ATR Period
v_input_float_10.5ATR Multiplier
v_input_3trueChange ATR Calculation Method ?
v_input_4falseShow Buy/Sell Signals ?
v_input_5trueHighlighter On/Off ?
v_input_float_20.7TILLSON T3c1*T3e6+T3c2*T3e5+T3c3*T3e4+T3c4*T3e3 Volume Factor
v_input_color_1greenColorU
v_input_color_2redColorD

Source Pine Script

/*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)

Published by ChaoZhang on the FMZ strategy square · last modified 2022-05-24. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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