
Strategi tren spekulatif adalah strategi perdagangan kuantitatif untuk melacak tren, yang menggunakan kurva SAR sebagai sinyal perdagangan utama, ditambah dengan berbagai filter seperti EMA, momentum ekspansi dan osilator volatilitas, untuk mengidentifikasi titik-titik pembalikan tren dengan mengkonfigurasi parameter SAR, dan untuk melacak tren dengan risiko rendah. Ini adalah strategi yang sangat cocok untuk investasi jangka panjang.
Strategi ini menggunakan SAR garis parsial sebagai indikator sinyal perdagangan utama. SAR dapat secara efektif menentukan titik balik dari tren harga, dan ketika simbol SAR berubah, itu berarti bahwa tren telah berbalik. Strategi ini biasanya mengirimkan sinyal beli atau jual ketika SAR berbalik.
Selain itu, strategi ini juga menawarkan opsi untuk menerobos SAR. Ini berarti bahwa harga telah menerobos nilai SAR terakhir sebelum SAR benar-benar terbalik. Ini dapat meningkatkan sensitivitas strategi.
Untuk memfilter sinyal palsu, strategi ini juga memperkenalkan tiga filter tambahan EMA, momentum ekstrusi dan oscillator volatilitas, yang dapat digunakan secara terpisah atau dalam kombinasi untuk mengkonfirmasi keandalan tren harga dan sinyal perdagangan.
Akhirnya, strategi ini menawarkan tiga jenis stop loss, yaitu stop loss tetap, stop loss tetap, dan stop loss dalam rasio risiko-pengembalian. Hal ini membuat strategi ini fleksibel untuk menyesuaikan dengan berbagai jenis varietas perdagangan.
SAR dapat secara akurat menilai perubahan tren harga dan dapat menangkap tren harga baru secara tepat waktu, cocok untuk melacak tren garis tengah dan panjang.
Pengaturan multi-filter mengurangi probabilitas penembusan palsu dan meningkatkan keandalan sinyal.
Konfigurasi sederhana dan fleksibel, parameter dapat disesuaikan untuk berbagai jenis transaksi.
Berbagai metode stop loss yang tersedia untuk mencari keseimbangan antara risiko dan return.
Robot perdagangan dapat dihubungkan secara langsung untuk melakukan transaksi otomatis.
Dalam pasar yang tidak tren, kemungkinan akan terjadi peningkatan sinyal palsu dan transaksi yang tidak valid.
Pengaturan parameter SAR yang tidak tepat juga dapat mempengaruhi akurasi penilaian sinyal.
Sebagai strategi trend-following, stop loss line mudah dicapai dalam pasar yang sangat bergolak.
Untuk risiko di atas, parameter SAR atau parameter filter dapat disesuaikan dengan tepat untuk mengurangi probabilitas transaksi yang tidak efektif. Selain itu, batas stop loss dapat dilepaskan dengan tepat untuk menahan fluktuasi pasar yang lebih besar.
Optimalisasi parameter SAR. Dengan menggunakan data retrospeksi sejarah, Anda dapat mengoptimalkan parameter langkah dan kenaikan SAR untuk mendapatkan strategi perdagangan yang lebih stabil dan efisien.
Memperkenalkan indikator penilaian tren. Menambahkan indikator penilaian tambahan seperti MACD, DMI ke dalam strategi, meningkatkan kemampuan penilaian tren.
Mengoptimalkan RR.O.P. Mengatur persentase stop loss dan parameter RR.O.P. tetap, dengan tepat mengambil risiko yang lebih tinggi untuk mendapatkan keuntungan yang lebih tinggi
Tambahkan varietas forex. Strategi saat ini hanya mendukung perdagangan mata uang digital, dan dapat diperluas untuk mendukung varietas forex, komoditas, dan pasar sekuritas.
Spekulasi celah adalah sangat praktis untuk melacak strategi kuantitatif tren. Ini responsif, sinyal penilaian yang dapat diandalkan, dengan pengelolaan stop loss dapat memperoleh keuntungan yang stabil dalam jangka panjang. Parameter yang tepat dan optimasi aturan dapat meningkatkan efisiensi strategi lebih lanjut. Ini adalah strategi kuantitatif yang efisien yang layak digunakan dalam jangka panjang.
/*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)
// ======================================================================================================================