سٹاپ لاس کی حکمت عملی کے بعد ڈبل سپر ٹرینڈ

/*backtest
start: 2022-11-09 00:00:00
end: 2023-11-15 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5
//
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒ 
//  -----------------------------------------------------------------------------
//  Copyright 2019 Mauricio Pimenta | exit490
//  SuperTrend with Trailing Stop Loss script may be freely distributed under the MIT license.
//
//  Permission is hereby granted, free of charge, 
//  to any person obtaining a copy of this software and associated documentation files (the "Software"), 
//  to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, 
//  publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, 
//  subject to the following conditions:
//
//  The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
//
//  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, 
//  EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 
//  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, 
//  DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 
//  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
//
//  -----------------------------------------------------------------------------
//
//  Authors:  @exit490
//  Revision: v1.0.0
//  Date:     5-Aug-2019
//
//  Description
//  ===========
//  SuperTrend is a moving stop and reversal line based on the volatility (ATR).
//  The strategy will ride up your stop loss when price moviment 1%.
//  The strategy will close your operation when the market price crossed the stop loss.
//  The strategy will close operation when the line based on the volatility will crossed
//
//  The strategy has the following parameters:
//
//  INITIAL STOP LOSS - Where can isert the value to first stop.
//  POSITION TYPE - Where can to select trade position.
//  ATR PERIOD - To select number of bars back to execute calculation
//  ATR MULTPLIER - To add a multplier factor on volatility
//  BACKTEST PERIOD - To select range.
//  
//  -----------------------------------------------------------------------------
//  Disclaimer:
//    1. I am not licensed financial advisors or broker dealers. I do not tell you 
//       when or what to buy or sell. I developed this software which enables you 
//       execute manual or automated trades multplierFactoriplierFactoriple trades using TradingView. The 
//       software allows you to set the criteria you want for entering and exiting 
//       trades.
//    2. Do not trade with money you cannot afford to lose.
//    3. I do not guarantee consistent profits or that anyone can make money with no 
//       effort. And I am not selling the holy grail.
//    4. Every system can have winning and losing streaks.
//    5. Money management plays a large role in the results of your trading. For 
//       example: lot size, account size, broker leverage, and broker margin call 
//       rules all have an effect on results. Also, your Take Profit and Stop Loss 
//       settings for individual pair trades and for overall account equity have a 
//       major impact on results. If you are new to trading and do not understand 
//       these items, then I recommend you seek education materials to further your
//       knowledge.
//
//    YOU NEED TO FIND AND USE THE TRADING SYSTEM THAT WORKS BEST FOR YOU AND YOUR 
//    TRADING TOLERANCE.
//
//    I HAVE PROVIDED NOTHING MORE THAN A TOOL WITH OPTIONS FOR YOU TO TRADE WITH THIS PROGRAM ON TRADINGVIEW.
//    
//    I accept suggestions to improve the script.
//    If you encounter any problems I will be happy to share with me.
//  -----------------------------------------------------------------------------
//
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒ //

strategy(title='DEO SESSSION', shorttitle='DEO S', overlay=true, precision=8, calc_on_order_fills=true, calc_on_every_tick=true, backtest_fill_limits_assumption=0, default_qty_type=strategy.percent_of_equity, default_qty_value=100, initial_capital=1000, currency=currency.USD, linktoseries=true)

//
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒ //

// === BACKTEST RANGE ===
backTestSectionFrom = input(title='════════════ FROM ════════════', defval=true)


// selected dates 
i_startTime     = input(title="START FILTER", defval=timestamp("02 Jan 2023 00:00 +0000"), group="RISK MANAGEMENT", tooltip="Start date & time to begin searching for setups")
i_endTime       = input(title="END FILTER", defval=timestamp("12 Dec 2100 00:00 +0000"), group="RISK MANAGEMENT", tooltip="End date & time to stop searching for setups")
afterStartDate = true

//
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒ //

parameterSection = input(title='══════════ STRATEGY ══════════', defval=true)
// === INPUT TO SELECT POSITION ===
positionType = input.string(defval='LONG', title='Position Type', options=['LONG', 'SHORT'])

// === INPUT TO SELECT INITIAL STOP LOSS
initialStopLossPercent = input.float(defval=3.0, minval=0.0, title='Initial Stop Loss')

// === INPUT TO SELECT BARS BACK
barsBack = input(title='ATR Period', defval=1)

// === INPUT TO SELECT MULTPLIER FACTOR 
multplierFactor = input.float(title='ATR multplierFactoriplier', step=0.1, defval=3.0)


RSI = input.int(title='RSI', defval=7, minval=1, maxval=100)

calcSection = input(title='══════════ LOT CALC ══════════', defval=true)
accountBalance = input.float(title="ACCOUNT BALANCE", defval=250000, minval=1,  group="INPUTS")
entryPrice = input.float(title="ENTRY PRICE", defval=100, minval=1,  group="INPUTS")
slPrice = input.float(title="STOP LOSS PRICE", defval=100, minval=1,  group="INPUTS")
riskPer = input.float(title="RISK USD", defval=1, minval=0.1,  group="INPUTS")
lotSize = input.float(title="LOT SIZE", defval=10, minval=0.1,  group="INPUTS")

RiskSize = riskPer
qtyLongTargetPrice = math.abs((RiskSize / ((entryPrice - slPrice) * syminfo.pointvalue)) / lotSize)

trendcSection = input(title='══════════ TREND LINE ══════════', defval=true)
// ema trend 
tLen = input.int(200, minval=1, title="Trend Line")
tSrc = input(close, title="Source")
thisEma = ta.ema(tSrc, tLen)
plot(thisEma, title = "Trend Line",color=#ffffff)

MTSection = input(title='══════════ MT LOGIN ══════════', defval=true)
exchange = input.string(defval='MT5', title='EXCHANGE',  options=['MT4', 'MT5'])
mtLogin= input.string(defval="", title='MT LOGIN', group = "mt")
mtPassword =input.string(defval='', title='MT PASSWORD',  group = "mt")
mtServer =input.string(defval='', title='MT SERVER', group = "mt")
mtIsOn = input.string(defval='ON', title='STRATEGY ON', options=['ON', 'OFF'])
mtEntryMode = input.string(defval='CLOSE OPEN', title='ENTRY MODE', options=['CLOSE OPEN', 'OPEN'])

displaySection = input(title='══════════ DISPLAY LOGIN ══════════', defval=true)
displayTable = input(title="DISPLAY TABLE", defval=false, group = 'PRODUCTION', tooltip = "MAKES YOUR STRATEGY TRIGGER SLOWER")



//
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒ //

// LOGIC TO FIND DIRECTION WHEN THERE IS TREND CHANGE ACCORDING VOLATILITY
atr = multplierFactor * ta.atr(barsBack)

longStop = hl2 - atr
longStopPrev = nz(longStop[1], longStop)
longStop := close[1] > longStopPrev ? math.max(longStop, longStopPrev) : longStop

shortStop = hl2 + atr
shortStopPrev = nz(shortStop[1], shortStop)
shortStop := close[1] < shortStopPrev ? math.min(shortStop, shortStopPrev) : shortStop

direction = 1
direction := nz(direction[1], direction)
direction := direction == -1 and close > shortStopPrev ? 1 : direction == 1 and close < longStopPrev ? -1 : direction


longColor = color.blue
shortColor = color.blue

var valueToPlot = 0.0
var colorToPlot = color.white

if direction == 1
    valueToPlot := longStop
    colorToPlot := color.green
    colorToPlot
else
    valueToPlot := shortStop
    colorToPlot := color.red
    colorToPlot

//RSI

src = close

ep = 2 * RSI - 1
auc = ta.ema(math.max(src - src[1], 0), ep)
adc = ta.ema(math.max(src[1] - src, 0), ep)
x1 = (RSI - 1) * (adc * 70 / (100 - 70) - auc)
ub = x1 >= 0 ? src + x1 : src + x1 * (100 - 70) / 70
x2 = (RSI - 1) * (adc * 30 / (100 - 30) - auc)
lb = x2 >= 0 ? src + x2 : src + x2 * (100 - 30) / 30

//Affichage
plot(math.avg(ub, lb), color=color.white ,linewidth=1, title='RSI')
plot(valueToPlot == 0.0 ? na : valueToPlot, title='Action Line', linewidth=2, color=color.new(colorToPlot, 0))
plotshape(direction == 1 and direction[1] == -1 ? longStop : na, title='Buy', style=shape.labelup, location=location.absolute, size=size.normal, text='Buy', textcolor=color.new(color.white, 0), color=color.new(color.green, 0))
plotshape(direction == -1 and direction[1] == 1 ? shortStop : na, title='Sell', style=shape.labeldown, location=location.absolute, size=size.normal, text='Sell', textcolor=color.new(color.white, 0), color=color.new(color.red, 0))



p_ma1 = plot(valueToPlot, title = "ST", color = color.rgb(255, 236, 66))
p_ma2 = plot(math.avg(ub, lb), title = "RSI", color = color.rgb(234, 0, 255))
// Definitions: Trends
TrendUp1() =>
    valueToPlot > math.avg(ub, lb)
TrendDown1() =>
    valueToPlot < math.avg(ub, lb)

trendColor1 = TrendUp1() ? color.rgb(255, 236, 66, 85): TrendDown1() ? color.rgb(234, 0, 255, 85) : color.rgb(255, 255, 255, 85)
fill(p_ma1, p_ma2, color=trendColor1)


longCondition () =>
    ta.crossover(close, valueToPlot)

shortCondition () =>
    ta.crossunder(close, valueToPlot)

IsLongShort() =>
    strategy.position_size != 0

getNewLotSize() => 
    math.abs(riskPer / (close - valueToPlot))

// plot(getNewLotSize(), "new lot size")
newLotS = getNewLotSize()


alertManagement = str.tostring(exchange) + "," + str.tostring(mtLogin) +  "," +str.tostring(mtPassword) + "," 
alertManagement += str.tostring(mtServer) + "," + str.tostring(newLotS)
// alertManagement += str.tostring(stopLoss) + "," + str.tostring(applyingSL) + "," + str.tostring(applyTrailingStop)  + "," 
// alertManagement += str.tostring(exchange) + "," + str.tostring(exchangeAccount) + "," + str.tostring(slAmount)  + "," + str.tostring(closeTpAmount) + "," 
// alertManagement += str.tostring(exchangeLeverage) + "," + str.tostring(exchangeLeverageType) + "," 
// alertManagement += str.tostring(mtLogin) + "," + str.tostring(mtPassword) + "," + str.tostring(mtServer)  + "," + str.tostring(mtLot) + "," 
// alertManagement += str.tostring(mtTp) + "," + str.tostring(mtTs) + "," + str.tostring(orderStrategy) 


// alertManagement = "alertManagement"
myStop = 0.0
myTarget = 0.0

if (longCondition())
    qtyLongTargetPrice := math.abs((RiskSize / ((close - valueToPlot) * syminfo.pointvalue)) / lotSize)
    if IsLongShort()
        strategy.close_all(comment = "close all entries")
    strategy.entry("LONG", strategy.long, qty=12, comment="LONG", alert_message=alertManagement)
    strategy.exit("TPL", "LONG", stop=valueToPlot, limit= close + (close - valueToPlot), comment="Target", alert_message=alertManagement)

if (shortCondition())
    qtyLongTargetPrice := math.abs((RiskSize / ((close - valueToPlot) * syminfo.pointvalue)) / lotSize)
    if IsLongShort()
        strategy.close_all(comment = "close all entries")
    strategy.entry("SHORT", strategy.short, qty=12, comment="SHORT", alert_message=alertManagement)
    strategy.exit("TPS", "SHORT", stop=valueToPlot, limit= close + (close - valueToPlot), comment="Target", alert_message=alertManagement)


// Calculate the average profit per open trade
// avgProfit = profitSum / strategy.opentrades

getTotalProfit()=>
    // Sum the profit of all open trades
    profitSum = 0.0
    for tradeNumber = 0 to strategy.closedtrades - 1
        if strategy.closedtrades.profit(tradeNumber) > 0
            profitSum += strategy.closedtrades.profit(tradeNumber)
    result = profitSum

getTotalLoss()=>
    // Sum the profit of all open trades
    lossSum = 0.0
    for tradeNumber = 0 to strategy.closedtrades - 1
        if strategy.closedtrades.profit(tradeNumber) < 0
            lossSum += strategy.closedtrades.profit(tradeNumber)
    result = lossSum


maxLossRun()=>
    lossRun = 0.0
    currentMaxLoss = 0.0
    for tradeNo = 0 to strategy.closedtrades - 1
        if strategy.closedtrades.profit(tradeNo) < 0.0
            lossRun += strategy.closedtrades.profit(tradeNo)
        else 
            currentMaxLoss := math.min(currentMaxLoss, lossRun)  
            lossRun := 0.0
    result = currentMaxLoss



TotalTrades() =>
	strategy.closedtrades + strategy.opentrades

maxDrawDown() =>
    maxDrawdown = 0.0
    for tradeNo = 0 to strategy.closedtrades - 1
        maxDrawdown := math.max(maxDrawdown, strategy.closedtrades.max_drawdown(tradeNo))
    result = maxDrawdown

maxRunUp() =>
    maxRunup = 0.0
    for tradeNo = 0 to strategy.closedtrades - 1
        maxRunup := math.max(maxRunup, strategy.closedtrades.max_runup(tradeNo))
    result = maxRunup

tradeMaxLossReached() =>
    maxLoss = 0.0
    for tradeNo = 0 to strategy.closedtrades - 1
        maxLoss := math.min(maxLoss, strategy.closedtrades.profit(tradeNo))
    result = maxLoss


tradingStartTime() =>
    strategy.closedtrades.entry_time(0)





daysBetween(t1, t2) => (t1 - t2) / 86400000

// Table
var InfoPanel = table.new(position = position.bottom_right, columns = 2, rows = 40, border_width = 1)
ftable(_table_id, _column, _row, _text, _bgcolor) => 
    table.cell(_table_id, _column, _row, _text, 0, 0, color.black, text.align_right, text.align_center, size.small, _bgcolor)

tfString(int timeInMs) =>
    // @function    Produces a string corresponding to the input time in days, hours, and minutes.
    // @param       (series int) A time value in milliseconds to be converted to a string variable. 
    // @returns     (string) A string variable reflecting the amount of time from the input time.
    float s  = timeInMs / 100000
    float m  = s / 60
    float h  = m / 60
    float d  = h / 24
    float mo = d / 30.416
    int tm   = math.floor(m % 60)
    int tr   = math.floor(h % 24)
    int td   = math.floor(d % 30.416)
    int tmo  = math.floor(mo % 12)
    int ys   = math.floor(d / 365)
    
    string result = 
      switch
        d == 30 and tr == 10 and tm == 30 => "1M"
        d == 7  and tr == 0  and tm == 0  => "1W"
        =>
            string yStr  = ys  ? str.tostring(ys)  + "Y "  : ""
            string moStr = tmo ? str.tostring(tmo) + "M "  : ""
            string dStr  = td  ? str.tostring(td)  + "D "  : ""
            string hStr  = tr  ? str.tostring(tr)  + "H "  : ""
            string mStr  = tm  ? str.tostring(tm)  + "min" : ""
            yStr + moStr + dStr + hStr + mStr


          
if displayTable
    maxLossRunInMarket= maxLossRun()
    maxLossReached = tradeMaxLossReached()
    tradeMaxLossReached = tradeMaxLossReached()
    tradingInDays=daysBetween(time, tradingStartTime())
    totalTrades=TotalTrades()