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量子光 移動平均 トレンド追跡 最適化戦略

作者: リン・ハーンチャオチャン,日付: 2024-01-04 15:44:23
タグ:

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/*backtest
start: 2023-12-27 00:00:00
end: 2024-01-03 00:00:00
period: 3m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © KivancOzbilgic
//created by: @Anil_Ozeksi
//developer: ANIL ÖZEKŞİ
//author: @kivancozbilgic


strategy(title="Stochastic Optimized Trend Tracker", shorttitle="SOTT", format=format.price, precision=2)
periodK = input(250, title="%K Length", minval=1)
smoothK = input(50, title="%K Smoothing", minval=1)
src1 = input(close, title="Source")
length=input(3, "OTT Period", minval=1)
percent=input(0.618, "OTT Percent", type=input.float, step=0.1, minval=0)
showsupport = input(title="Show Support Line?", type=input.bool, defval=false)
showsignalsc = input(title="Show Stochastic/OTT Crossing Signals?", type=input.bool, defval=false)
Var_Func1(src1,length)=>
    valpha1=2/(length+1)
    vud11=src1>src1[1] ? src1-src1[1] : 0
    vdd11=src1<src1[1] ? src1[1]-src1 : 0
    vUD1=sum(vud11,9)
    vDD1=sum(vdd11,9)
    vCMO1=nz((vUD1-vDD1)/(vUD1+vDD1))
    VAR1=0.0
    VAR1:=nz(valpha1*abs(vCMO1)*src1)+(1-valpha1*abs(vCMO1))*nz(VAR1[1])
VAR1=Var_Func1(src1,length)
k = Var_Func1(stoch(close, high, low, periodK), smoothK)
src=k+1000
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=sum(vud1,9)
    vDD=sum(vdd1,9)
    vCMO=nz((vUD-vDD)/(vUD+vDD))
    VAR=0.0
    VAR:=nz(valpha*abs(vCMO)*src)+(1-valpha*abs(vCMO))*nz(VAR[1])
VAR=Var_Func(src,length)
h0 = hline(1080, "Upper Band", color=#606060)
h1 = hline(1020, "Lower Band", color=#606060)
fill(h0, h1, color=#9915FF, transp=80, title="Background")
plot(k+1000, title="%K", color=#0094FF)
MAvg=Var_Func(src, length)
fark=MAvg*percent*0.01
longStop = MAvg - fark
longStopPrev = nz(longStop[1], longStop)
longStop := MAvg > longStopPrev ? max(longStop, longStopPrev) : longStop
shortStop =  MAvg + fark
shortStopPrev = nz(shortStop[1], shortStop)
shortStop := MAvg < shortStopPrev ? min(shortStop, shortStopPrev) : shortStop
dir = 1
dir := nz(dir[1], dir)
dir := dir == -1 and MAvg > shortStopPrev ? 1 : dir == 1 and MAvg < longStopPrev ? -1 : dir
MT = dir==1 ? longStop: shortStop
OTT=MAvg>MT ? MT*(200+percent)/200 : MT*(200-percent)/200 
plot(showsupport ? MAvg : na, color=#0585E1, linewidth=2, title="Support Line")
OTTC = #B800D9 
pALL=plot(nz(OTT[2]), color=OTTC, linewidth=2, title="OTT", transp=0)
alertcondition(cross(src, OTT[2]), title="Price Cross Alert", message="OTT - Price Crossing!")
alertcondition(crossover(src, OTT[2]), title="Price Crossover Alarm", message="PRICE OVER OTT - BUY SIGNAL!")
alertcondition(crossunder(src, OTT[2]), title="Price Crossunder Alarm", message="PRICE UNDER OTT - SELL SIGNAL!")
buySignalc = crossover(src, OTT[2])
plotshape(buySignalc and showsignalsc ? OTT*0.995 : na, title="Buy", text="Buy", location=location.absolute, style=shape.labelup, size=size.tiny, color=color.green, textcolor=color.white, transp=0)
sellSignallc = crossunder(src, OTT[2])
plotshape(sellSignallc and showsignalsc ? OTT*1.005 : na, title="Sell", text="Sell", location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.red, textcolor=color.white, transp=0)

dummy0 = input(true, title = "=Backtest Inputs=")
FromDay    = input(defval = 1, title = "From Day", minval = 1, maxval = 31)
FromMonth  = input(defval = 1, title = "From Month", minval = 1, maxval = 12)
FromYear   = input(defval = 2005, title = "From Year", minval = 2005)
ToDay      = input(defval = 1, title = "To Day", minval = 1, maxval = 31)
ToMonth    = input(defval = 1, title = "To Month", minval = 1, maxval = 12)
ToYear     = input(defval = 9999, title = "To Year", minval = 2006)
Start     = timestamp(FromYear, FromMonth, FromDay, 00, 00)
Finish    = timestamp(ToYear, ToMonth, ToDay, 23, 59)
Timerange() =>
    time >= Start and time <= Finish ? true : false
if buySignalc
    strategy.entry("Long", strategy.long,when=Timerange())
if sellSignallc
    strategy.entry("Short", strategy.short,when=Timerange())

  
  

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