1. বর্গক্ষেত্র
2. ডাবল থ্রাস্ট ইন্ডিকেটর কৌশল

ডাবল থ্রাস্ট ইন্ডিকেটর কৌশল

লেখক:চাওঝাং, তারিখ: ২০২৩-০৯-২৫ ১৭ঃ৩৪ঃ৪৬
ট্যাগঃ

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/*backtest
start: 2023-08-25 00:00:00
end: 2023-09-24 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/
// © amysojexson

//@version=3
strategy(title="Pivots strategy", overlay=true)

// Input settings
// Create a pull-down menu for the pivot type
pivotType = input(title="Pivot Type",
     options=["Daily", "Intraday", "Weekly"], defval="Daily")

// Make toggles for pivot level options
plotPP   = input(title="Plot PP", type=bool, defval=true)
plotS1R1 = input(title="Plot S1 and R1", type=bool, defval=true)
plotS2R2 = input(title="Plot S2 and R2", type=bool, defval=true)
plotS3R3 = input(title="Plot S3 and R3", type=bool, defval=true)
plotTCBC = input(title="Plot S3 and R3", type=bool, defval=true)
// Configure session options
sessRange = input(title="Trading Session",  defval="0800-1600")
showSess  = input(title="Highlight Session?", type=bool, defval=false)

// Enable or disable pivot labels
showLabels = input(title="Show Labels?", type=bool, defval=false)

// Step 2. Calculate indicator values
// Create a function to fetch daily and weekly data
GetData(res, data) =>
    security(syminfo.tickerid, res, data[1],
         lookahead=barmerge.lookahead_on)

// Fetch daily and weekly price data
dailyHigh  = GetData("D", high)
dailyLow   = GetData("D", low)
dailyClose = GetData("D", close)

weeklyHigh  = GetData("W", high)
weeklyLow   = GetData("W", low)
weeklyClose = GetData("W", close)

// Determine session pivot data
// First see how the price bar relates to
// the session time range
inSession = not na(time(timeframe.period, sessRange)[1])
sessStart = inSession and not inSession[1]
sessEnd   = not inSession and inSession[1]

// Determine session price data
sessHigh  = 0.0
sessLow   = 0.0
sessClose = 0.0

sessHigh := sessStart ? high :
     inSession ? max(high, sessHigh[1]) : na
sessLow := sessStart ? low :
     inSession ? min(low, sessLow[1]) : na
sessClose := sessEnd ? close[1] : na

// Compute high, low, close from previous intra-day session
highPrevSess  = 0.0
lowPrevSess   = 0.0
closePrevSess = 0.0

highPrevSess  := sessEnd ? fixnan(sessHigh) : highPrevSess[1]
lowPrevSess   := sessEnd ? fixnan(sessLow) : lowPrevSess[1]
closePrevSess := sessEnd ? fixnan(sessClose) : closePrevSess[1]

// Now figure out which kind of price data
// to use for the pivot calculation
theHigh = if (pivotType == "Daily")
    dailyHigh
else
    if (pivotType == "Intraday")
        highPrevSess
    else
        weeklyHigh

theLow = if (pivotType == "Daily")
    dailyLow
else
    if (pivotType == "Intraday")
        lowPrevSess
    else
        weeklyLow

theClose = if (pivotType == "Daily")
    dailyClose
else
    if (pivotType == "Intraday")
        closePrevSess
    else
        weeklyClose

// Finally calculate the pivot levels
pp = (theHigh + theLow + theClose) / 3
bc= (theHigh + theLow)/2
tc= (pp-bc)+pp

r1 = pp+(.382*(theHigh-theLow))
s1 = pp-(.382*(theHigh-theLow))
r2 = pp +(.618*(theHigh-theLow))
s2 = pp -(.618*(theHigh-theLow))
r3 = pp +(1*(theHigh-theLow))
s3 = pp -(1*(theHigh-theLow))

// Step 3. Output indicator data
// Plot the various pivot levels
plot(series=plotS3R3 ? r3 : na, title="R3",
     style=circles, linewidth=1, color=#0023FF)
plot(series=plotS2R2 ? r2 : na, title="R2",
     style=circles, linewidth=1, color=#1E90FF)
plot(series=plotS1R1 ? r1 : na, title="R1",
     style=circles, linewidth=1, color=#09E0F3)

plot(series=plotTCBC ? tc : na, title="TC",
     style=circles, linewidth=.75, color=#FF00D1)
plot(series=plotPP ? pp : na, title="PP",
     style=circles, linewidth=1, color=#000000)
plot(series=plotTCBC ? bc : na, title="BC",
     style=circles, linewidth=.75, color=#FF00D1)

plot(series=plotS1R1 ? s1 : na, title="S1",
     style=circles, linewidth=1, color=#09E0F3)
plot(series=plotS2R2 ? s2 : na, title="S2",
     style=circles, linewidth=1, color=#1E90FF)
plot(series=plotS3R3 ? s3 : na, title="S3",
     style=circles, linewidth=1, color=#0023FF)

// Display the pivot names on the chart, if applicable
newPivots = (showLabels == false) ? false :
     (pivotType == "Intraday") ? sessEnd :
     (pivotType == "Daily") ? dayofmonth != dayofmonth[1] :
     dayofweek == monday and dayofmonth != dayofmonth[1]

plotchar(series=newPivots and plotS3R3 ? r3 : na,
     char='', text="R3", offset=1,
     location=location.absolute,
     color=#0023FF, title="R3 label")

plotchar(series=newPivots and plotS2R2 ? r2 : na,
     char='', text="R2", offset=1,
     location=location.absolute,
     color=#1E90FF, title="R2 label")

plotchar(series=newPivots and plotS1R1 ? r1 : na,
     char='', text="R1", offset=1,
     location=location.absolute,
     color=#09E0F3, title="R1 label")

plotchar(series=newPivots and plotTCBC ? r1 : na,
     char='', text="TC", offset=1,
     location=location.absolute,
     color=#FF00D1, title="TC label")
     
plotchar(series=newPivots and plotTCBC ? r1 : na,
     char='', text="BC", offset=1,
     location=location.absolute,
     color=#FF00D1, title="BC label")

plotchar(series=newPivots and plotS1R1 ? s1 : na,
     char='', text="S1", offset=1,
     location=location.absolute,
     color=#09E0F3, title="S1 label")

plotchar(series=newPivots and plotS2R2 ? s2 : na,
     char='', text="S2", offset=1,
     location=location.absolute,
     color=#1E90FF, title="S2 label")

plotchar(series=newPivots and plotS3R3 ? s3 : na,
     char='', text="S3", offset=1,
     location=location.absolute,
     color=#0023FF, title="S3 label")

// Highlight the intra-day price data session on the chart
bgcolor(color=showSess and inSession and (pivotType == "Intraday") ?
     orange : na, transp=95)

// Step 4. Create indicator alerts
alertcondition(condition=cross(close, s3),
     title="Pivot S3 Cross",
     message="Prices crossed Pivot S3 level")

alertcondition(condition=cross(close, s2),
     title="Pivot S2 Cross",
     message="Prices crossed Pivot S2 level")

alertcondition(condition=cross(close, s1),
     title="Pivot S1 Cross",
     message="Prices crossed Pivot S1 level")
     
alertcondition(condition=cross(close, tc),
     title="Pivot TC Cross",
     message="Prices crossed Pivot TC level")

alertcondition(condition=cross(close, pp),
     title="Pivot PP Cross",
     message="Prices crossed the main Pivot Point level")
     
alertcondition(condition=cross(close, bc),
     title="Pivot BC Cross",
     message="Prices crossed Pivot BC level")

alertcondition(condition=cross(close, r1),
     title="Pivot R1 Cross",
     message="Prices crossed Pivot R1 level")

alertcondition(condition=cross(close, r2),
     title="Pivot R2 Cross",
     message="Prices crossed Pivot R2 level")

alertcondition(condition=cross(close, r3),
     title="Pivot R3 Cross",
     message="Prices crossed Pivot R3 level")
    
MA = sma(close, 20)
plot(MA, color=red)

Factor				= input(2, type=float)
Pd					= input(10, minval=1,maxval = 100)
Up					= hl2-(Factor*atr(Pd))
Dn					= hl2+(Factor*atr(Pd))
TrendUp				= 0.0
TrendUp				:= close[1]>TrendUp[1]? max(Up,TrendUp[1]) : Up
TrendDown			= 0.0
TrendDown			:= close[1]<TrendDown[1]? min(Dn,TrendDown[1]) : Dn
Trend				= 0.0
Trend 				:= close > TrendDown[1] ? 1: close< TrendUp[1]? -1: nz(Trend[1],1)
Tsl 				= Trend==1? TrendUp: TrendDown

plot(Tsl, color=blue)

if close>open
    if open<pp
        if close>pp
            if close>MA
                strategy.entry("long", true) 
if close<open
    if open>pp
        if close<pp
            if close<MA
                strategy.entry("short", false) 
                
strategy.close("long", when = open<Tsl)
strategy.close("short", when = open>Tsl)

---

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