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2. قیاس آرائی خلیج: SAR پر مبنی رجحان کی پیروی کی حکمت عملی

قیاس آرائی خلیج: SAR پر مبنی رجحان کی پیروی کی حکمت عملی

مصنف:چاؤ ژانگ، تاریخ: 2023-11-23 16:26:17
ٹیگز:

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/*backtest
start: 2023-10-23 00:00:00
end: 2023-11-22 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//VERSION =================================================================================================================
//@version=5
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// This strategy is intended to study.
// It can also be used to signal a bot to open a deal by providing the Bot ID, email token and trading pair in the strategy settings screen.
// As currently written, this strategy uses a SAR PARABOLIC to send signal, and EMA, Squeeze Momentum, Volatility Oscilator as filter.
// There are two enter point, when SAR Flips, or Breakout Point - the last SAR Value before it Flips.
// There are tree options for exit: SAR Flips, Fixed Stop Loss ande Fixed Take Profit in % and Risk Reward tha can be set, 0.5/1, 1/1, 1/2 etc.
//Autor M4TR1X_BR

//▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
//STRATEGY ================================================================================================================

strategy(title = 'BT-SAR Ema, Squeeze, Voltatility',
         shorttitle = 'SAR ESV',
         overlay = true)


//▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
// INPUTS =================================================================================================================

// TIME INPUTS
usefromDate = input.bool(defval = true, title = 'Start date', inline = '0', group = "Time Filters")
initialDate = input(defval = timestamp('01 Jan 2022 00:00 UTC'), title = '', inline = "0",group = 'Time Filters',tooltip="This start date is in the time zone of the exchange ")
usetoDate = input.bool(defval = true, title = 'End date', inline = '1', group = "Time Filters")
finalDate = input(defval = timestamp('31 Dec 2029 23:59 UTC'), title = '', inline = "1",group = 'Time Filters',tooltip="This end date is in the time zone of the exchange")

// TIME LOGIC 
inTradeWindow = true


// SAR PARABOLIC INPUTS ==================================================================================================
string sargroup=  "SAR PARABOLIC ========================================="
start = input.float(defval=0.02,title='Start',inline='',group = sargroup)
increment = input.float(defval=0.02,title='Increment',inline='',group = sargroup)
maximum = input.float(defval=0.2,title='Maximo',inline='',group = sargroup)

// SAR PARABOLIC LOGIC 
out = ta.sar(start, increment, maximum)


// SAR FLIP OR BREAKOUT OPTIONS
string bkgroup ='SAR TRADE SIGNAL ====================================== '
sarTradeSignal =input.string(defval='SAR Flip',title='SAR Trade Signal', options= ['SAR Flip','SAR Breakout'],group=bkgroup, tooltip='SAR Flip: Once the parabolic SAR flips it will send a signal, SAR Breakout: Will wait the price cross last Sar Value before it flips.')
nBars = input.int(defval=4,title='Bars',group=bkgroup, tooltip ='Define the number of bars for a entry when the price cross breakout point')

float sarBreakoutPoint= ta.valuewhen((close[1] < out[1])  and (close > out),out[1],0)   //Get Sar Breakout Point
bool check = (close[1] < out[1])  and (close > out)                                     //Verify when sar flips
bool BreakoutPrice = sarTradeSignal=='SAR Breakout'? (ta.barssince(check) < nBars) and ((open < sarBreakoutPoint) and (close > sarBreakoutPoint)): (ta.barssince(check) < nBars) and (close > out)
barcolor (check? color.yellow:na,title="Signal Bar color" )


// MOVING AVERAGES INPUTS ================================================================================================
string magroup =  "Moving Average ========================================"
useEma = input.bool(defval = true, title = 'Moving Average Filter',inline='', group= magroup,tooltip='This will enable or disable Exponential Moving Average Filter on Strategy')
emaType=input.string (defval='Ema',title='Type',options=['Ema','Sma'],inline='', group= magroup)
emaSource = input.source(defval=close,title="  Source",inline="", group= magroup)
emaLength = input.int(defval=100,title="Length",minval=0,inline='', group= magroup)

// MOVING AVERAGE LOGIC
float ema = emaType=='Ema'? ta.ema(emaSource,emaLength): ta.sma(emaSource,emaLength)


// VOLATILITY OSCILLATOR =================================================================================================
string vogroup =  "VOLATILITY OSCILLATOR ================================="
useVltFilter=input.bool(defval=true,title="Volatility Oscillator Filter",inline='',group= vogroup,tooltip='This will enable or disable Volatility Oscillator filter on Strategy')
vltFilterLength = input.int(defval=100,title="Volatility Oscillator",inline='',group=vogroup)
vltFilterSpike = close - open
vltFilterX = ta.stdev(vltFilterSpike,vltFilterLength)
vltFilterY = ta.stdev(vltFilterSpike,vltFilterLength) * -1


// SQUEEZE MOMENTUM INPUTS ==============================================================================================
string sqzgroup = "SQUEEZE MOMENTUM =====================================" 
useSqzFilter=input.bool(defval=true,title="Squeeze Momentum Filter",inline='',group= sqzgroup, tooltip='This will enable or disable Squeeze Momentum filter on Strategy')
sqzFilterlength = input.int(defval=20, title='Bollinger Bands Length',inline='',group= sqzgroup)
sqzFiltermult = input.float(defval=2.0, title='Boliinger Bands Mult',inline='',group= sqzgroup)
keltnerLength = input.int(defval=20, title='Keltner Channel Length',inline='',group= sqzgroup)
keltnerMult = input.float(defval=1.5, title='Keltner Channel Mult',inline='',group= sqzgroup)
useTrueRange = input(true, title='Use TrueRange (KC)', inline='',group= sqzgroup)


// CALCULATE BOLLINGER BANDS
sqzFilterSrc = close
basis = ta.sma(sqzFilterSrc, sqzFilterlength)
dev = keltnerMult * ta.stdev(sqzFilterSrc, sqzFilterlength)
upperBB = basis + dev
lowerBB = basis - dev

// CALCULATE KELTNER CHANNEL 
sma = ta.sma(sqzFilterSrc, keltnerLength)
range_1 = useTrueRange ? ta.tr : high - low
rangema = ta.sma(range_1, keltnerLength)
upperKC = sma + rangema * keltnerMult
lowerKC = sma - rangema * keltnerMult


// CHECK IF BOLLINGER BANDS IS IN OR OUT OF KELTNER CHANNEL
sqzOn = lowerBB > lowerKC and upperBB < upperKC
sqzOff = lowerBB < lowerKC and upperBB > upperKC
noSqz = sqzOn == false and sqzOff == false

// SQUEEZE MOMENTUM LOGIC
val = ta.linreg(sqzFilterSrc - math.avg(math.avg(ta.highest(high, keltnerLength), ta.lowest(low, keltnerLength)),ta.sma(close, keltnerLength)), keltnerLength, 0)


// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
// TAKE PROFIT STOP LOSS INPUTS =========================================================================================

string tkpgroup='Take Profit =================================================='
tpType = input.string(defval = 'SAR Flip', title='Take Profit and Stop Loss', options=['SAR Flip','Fixed % TP/SL', 'Risk Reward TP/SL'], group=tkpgroup )
longTakeProfitPerc = input.float(defval = 1.5, title = 'Fixed TP %', minval = 0.05, step = 0.5, group=tkpgroup, tooltip = 'The percentage increase to set the take profit price target.')/100

longLossPerc = input.float(defval=1.0, title="Fixed Long SL %", minval=0.1, step=0.5, group = tkpgroup, tooltip = 'The percentage increase to set the Long Stop Loss price target.') * 0.01
//shortLossPerc = input.float(defval=1.5, title="Fixed Short SL (%)", minval=0.1, step=0.5, group = tkpgroup, tooltip = 'The percentage increase to set the Short Stop Loss price target.') * 0.01

longTakeProfitRR = input.float(defval = 1, title = 'Risk Reward TP', minval = 0.25, step = 0.25, group=tkpgroup, tooltip = 'The Risk Reward parameter.')
var plotStopLossRR = input.bool(defval=false, title='Show RR Stop Loss', group=tkpgroup)
//enableStopLossRR = input.bool(defval = false, title = 'Enable Risk Reward TP',group=tkpgroup, tooltip = 'Enable Variable Stop Loss.')

string trpgroup='Traling Profit ==============================================='
enableTrailing = input.bool(defval = false, title = 'Enable Trailing',group=trpgroup, tooltip = 'Enable or disable the trailing for take profit.')
trailingTakeProfitDeviationPerc = input.float(defval = 0.1, title = 'Trailing Take Profit Deviation %', minval = 0.01, maxval = 100, step = 0.01, group=trpgroup, tooltip = 'The step to follow the price when the take profit limit is reached.') / 100


// BOT MESSAGES
string msgroup='Alert Message For Bot ========================================='
messageEntry = input.string("", title="Strategy Entry Message",group=msgroup)
messageExit  =input.string("",title="Strategy Exit Message",group=msgroup)
messageClose = input.string("", title="Strategy Close Message",group=msgroup)

// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
// POSITIONS =============================================================================================================

//VERIFY IF THE BUY FILTERS ARE ON OR OFF 
bool emaFilterBuy = useEma? (close > ema):(close >= ema) or (close <= ema)                      
bool volatilityFilterBuy = useVltFilter? (vltFilterSpike > vltFilterX) : (vltFilterSpike >= 0) or (vltFilterSpike <= 0)                  
bool sqzFilterBuy = useSqzFilter? (val > val[1]): (val >= val[1] or val <=val[1])                                      
bool sarflip = (close > out)


//LONG / SHORT POSITIONS LOGIC
//Var 'check' will verify if the SAR flips and if the exit price occurs it will limit in bars number a new entry on the same signal.
bool limitEntryNumbers = (ta.barssince(check) < nBars) 
bool openLongPosition =   sarTradeSignal == 'SAR Flip'? (sarflip and emaFilterBuy and volatilityFilterBuy and sqzFilterBuy and limitEntryNumbers) :sarTradeSignal=='SAR Breakout'? (BreakoutPrice and emaFilterBuy and volatilityFilterBuy and sqzFilterBuy): na
bool openShortPosition = na
bool closeLongPosition= tpType=='SAR Flip'? (close < out):na
bool closeShortPosition=na


// CHEK OPEN POSITONS =====================================================================================================
// open signal when not already into a position
bool validOpenLongPosition = openLongPosition and strategy.opentrades.size(strategy.opentrades - 1) <= 0
bool longIsActive = validOpenLongPosition or strategy.opentrades.size(strategy.opentrades - 1) > 0


// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
// TAKE PROFIT STOP LOSS CONFIG ==========================================================================================

// FIXED TAKE PROFIT IN %

float posSize = strategy.opentrades.entry_price(strategy.opentrades - 1) //Get the entry price

var float longTakeProfitPrice = na
longTakeProfitPrice := if (longIsActive)
    if (openLongPosition and not (strategy.opentrades.size(strategy.opentrades - 1) > 0))
        posSize * (1 + longTakeProfitPerc)
    else
        nz(longTakeProfitPrice[1], close * (1 + longTakeProfitPerc))
else
    na

longTrailingTakeProfitStepTicks = longTakeProfitPrice * trailingTakeProfitDeviationPerc / syminfo.mintick

// FIXED STOP LOSS IN %
longStopPrice  = strategy.position_avg_price * (1 - longLossPerc)
//shortStopPrice = strategy.position_avg_price * (1 + shortLossPerc)


// TAKE PROFIT BY RISK/REWARD
// Set stop loss
tta = not (strategy.opentrades.size(strategy.opentrades - 1) > 0)
float lastb = ta.valuewhen(check and tta,ta.lowest(low,5),0) - (10 * syminfo.mintick)

// TAKE PROFIT CALCULATION
float stopLossRisk = (posSize - lastb)
float takeProfitRR = posSize + (longTakeProfitRR * stopLossRisk)


// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
// POSITION ORDERS =====================================================================================================

// LOGIC ===============================================================================================================
// getting into LONG position
if (openLongPosition) and (inTradeWindow)
    strategy.entry(id = 'Long Entry', direction = strategy.long, alert_message=messageEntry)

//submit exit orders for trailing take profit price 
if (longIsActive) and (inTradeWindow)
    strategy.exit(id = 'Long Take Profit', from_entry = 'Long Entry', limit = enableTrailing ? na : tpType=='Fixed % TP/SL'? longTakeProfitPrice: tpType == 'Risk Reward TP/SL'? takeProfitRR:na, trail_price = enableTrailing ? longTakeProfitPrice : na, trail_offset = enableTrailing ? longTrailingTakeProfitStepTicks : na, stop = tpType =='Fixed % TP/SL' ? longStopPrice: tpType == 'Risk Reward TP/SL'? lastb:na) //, alert_message='{  "action": "close_at_market_price",  "message_type": "bot",  "bot_id": 9330698,  "email_token": "392265bc-84eb-4a54-a99c-758383ff9449",  "delay_seconds": 0,"pair":"USDT_{{ticker}}" }')

if (closeLongPosition)
    strategy.close(id = 'Long Entry', alert_message='{  "action": "close_at_market_price",  "message_type": "bot",  "bot_id": 9330698,  "email_token": "392265bc-84eb-4a54-a99c-758383ff9449",  "delay_seconds": 0,"pair":"USDT_{{ticker}}" }')
                                                   

// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
// PLOTS ===============================================================================================================

// TRADE WINDOW ========================================================================================================
bgcolor(color = inTradeWindow ? color.new(#089981,90):na, title = 'Time Window')


// SAR PARABOLIC
var sarColor = color.new(#00bcd4,0)
plot(out, "ParabolicSAR", color=sarColor, linewidth=1,style=plot.style_cross)


//BREAKOUT LINE
var plotBkPoint = input.bool(defval=false, title='Show Breakout Point', group=bkgroup)
plot(series = (sarTradeSignal=='SAR Breakout' and plotBkPoint == true)? sarBreakoutPoint:na, title = 'Breakout line', color =color.new(#ffeb3b,50) , linewidth = 1, style = plot.style_linebr, offset = 0)


// EMA/SMA 
var emafilterColor = color.new(color.white, 0)
plot(series=useEma? ema:na, title = 'EMA Filter', color = emafilterColor, linewidth = 2, style = plot.style_line)


// ENTRY PRICE
var posColor = color.new(#2962ff, 0)
plot(series = strategy.opentrades.entry_price(strategy.opentrades - 1), title = 'Position', color = posColor, linewidth = 1, style = plot.style_linebr,offset=0)


// FIXED TAKE PROFIT 
var takeProfitColor = color.new(#ba68c8, 0)
plot(series = tpType=='Fixed % TP/SL'? longTakeProfitPrice:na, title = 'Fixed TP', color = takeProfitColor, linewidth = 1, style = plot.style_linebr, offset = 0)


// FIXED STOP LOSS
var stopLossColor = color.new(#ff0000, 0)
plot(series = tpType=='Fixed % TP/SL' ? longStopPrice:na, title = 'Fixed SL', color = stopLossColor, linewidth = 1, style = plot.style_linebr, offset = 0)


// RISK REWARD TAKE PROFIT
var takeProfitRRColor = color.new(#ba68c8, 0)
plot(series=tpType == 'Risk Reward TP/SL'? takeProfitRR:na,title='Risk Reward TP',color=takeProfitRRColor,linewidth=1,style=plot.style_linebr)

// STOP LOSS RISK REWARD
plot(series = (check and plotStopLossRR)? lastb:na, title = 'Last Bottom', color =color.new(#ff0000,0), linewidth = 2, style = plot.style_linebr, offset = 0)


// ======================================================================================================================

---

• ڈبل ٹائم فریم اور مومنٹم اشارے پر مبنی موافقت بخش منافع اور اسٹاپ نقصان کی حکمت عملی
• کثیر مدتی آر ایس آئی گرڈ ٹریڈنگ کی حکمت عملی
• دوہری توسیعی اوسط چلتی کراس اوور حکمت عملی
• رجحان ٹریکنگ حرکت پذیر اوسط RSI حکمت عملی
• ماہانہ اختتامی قیمت اور اوسط حرکت پذیر کراس اوور حکمت عملی
• Bollinger Bands Breakout Strategy کے بعد قلیل مدتی رجحان
• منافع اور سٹاپ نقصان کے ساتھ ڈپ خریدنا
• RSI محوری حرکت پذیر اوسط کراس اوور حکمت عملی
• دوہری ایس ایم اے کراس اوور حکمت عملی
• دوہری EMA اور RSI مجموعی حکمت عملی
• اصل ابتدائی رجحان ٹریکنگ کی حکمت عملی حرکت پذیر اوسط پر مبنی
• بولنگر بینڈ سٹاپ نقصان کی حکمت عملی
• کثیر اشارے پر مبنی رجحان کی نگرانی کی حکمت عملی
• متعدد متحرک اوسط متحرک رجحان کی حکمت عملی
• قیمت پر مبنی سٹاپ نقصان اور منافع لینے کی حکمت عملی
• ٹائم فریم پاور ٹریڈنگ کی حکمت عملی
• دو طرفہ رجحان ٹریکنگ چلتی اوسط کراس اوور حکمت عملی
• شخصی رفتار ٹریڈنگ کی حکمت عملی
• چلتی اوسط لفافہ چینل رجحان کی پیروی کی حکمت عملی
• رجحان فیصلے کے ساتھ مل کر رفتار کثیر عنصر مقداری تجارتی حکمت عملی