
এই কৌশলটি একটি ট্রেন্ড ট্র্যাকিং টাইপ কৌশল যা একটি দ্রুত চলমান গড় এবং একটি ধীর চলমান গড় গণনা করে এবং প্যারালাইন সূচকগুলির সাথে একত্রিত করে। এটি ধীর চলমান গড়ের উপরে একটি দ্রুত চলমান গড় অতিক্রম করার সময় এটি বেশি করে এবং ধীর চলমান গড়ের নীচে একটি ধীর চলমান গড় অতিক্রম করার সময় এটি খালি করে।
উপরের সমস্যাগুলির জন্য, নিম্নলিখিত দিকগুলি থেকে অপ্টিমাইজেশন করা যেতে পারেঃ
এই কৌশলটি একটি আদর্শ ডাবল মুভিং এভারেজ এবং সূচক সমন্বয় প্রবণতা ট্র্যাকিং কৌশল। দ্রুত এবং ধীর দুটি মুভিং এভারেজ দিকের তুলনা করে বাজারের প্রবণতা বিচার করুন; এবং একাধিক ফিল্টারিং সূচক একত্রিত করুন, যাতে ট্রেডিং সংকেত তৈরি হয়। একই সময়ে, কৌশলটি একক ক্ষতি নিয়ন্ত্রণের জন্য ক্ষতির থামার বৈশিষ্ট্য রয়েছে। কৌশলটির যুক্তিটি সহজ এবং সহজেই বোঝা যায় এবং প্রয়োজন অনুসারে নমনীয়ভাবে অপ্টিমাইজ করা যায়। অসুবিধাটি হ’ল এটি একটি রুক্ষ প্রবণতা নির্ধারণের সরঞ্জাম হিসাবে সংকেতের নির্ভুলতা উন্নত করা যেতে পারে, যা মেশিন লার্নিং উন্নত মডেলের প্রবর্তন দ্বারা অনুকূলিত করা যেতে পারে।
/*backtest
start: 2024-01-01 00:00:00
end: 2024-01-31 00:00:00
period: 4h
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/
// © sosacur01
//@version=5
strategy(title="2 MA | Trend Following", overlay=true, pyramiding=1, commission_type=strategy.commission.percent, commission_value=0.2, initial_capital=10000)
//==========================================
//BACKTEST RANGE
useDateFilter = input.bool(true, title="Filter Date Range of Backtest",
group="Backtest Time Period")
backtestStartDate = input(timestamp("1 jan 2000"),
title="Start Date", group="Backtest Time Period",
tooltip="This start date is in the time zone of the exchange " +
"where the chart's instrument trades. It doesn't use the time " +
"zone of the chart or of your computer.")
backtestEndDate = input(timestamp("1 Jul 2100"),
title="End Date", group="Backtest Time Period",
tooltip="This end date is in the time zone of the exchange " +
"where the chart's instrument trades. It doesn't use the time " +
"zone of the chart or of your computer.")
inTradeWindow = true
if not inTradeWindow and inTradeWindow[1]
strategy.cancel_all()
strategy.close_all(comment="Date Range Exit")
//--------------------------------------
//LONG/SHORT POSITION ON/OFF INPUT
LongPositions = input.bool(title='On/Off Long Postion', defval=true, group="Long & Short Position")
ShortPositions = input.bool(title='On/Off Short Postion', defval=true, group="Long & Short Position")
//---------------------------------------
//SLOW MA INPUTS
averageType1 = input.string(defval="SMA", group="Slow MA Inputs", title="Slow MA Type", options=["SMA", "EMA", "WMA", "HMA", "RMA", "SWMA", "ALMA", "VWMA", "VWAP"])
averageLength1 = input.int(defval=160, group="Slow MA Inputs", title="Slow MA Length", minval=50)
averageSource1 = input(close, title="Slow MA Source", group="Slow MA Inputs")
//SLOW MA TYPE
MovAvgType1(averageType1, averageSource1, averageLength1) =>
switch str.upper(averageType1)
"SMA" => ta.sma(averageSource1, averageLength1)
"EMA" => ta.ema(averageSource1, averageLength1)
"WMA" => ta.wma(averageSource1, averageLength1)
"HMA" => ta.hma(averageSource1, averageLength1)
"RMA" => ta.rma(averageSource1, averageLength1)
"SWMA" => ta.swma(averageSource1)
"ALMA" => ta.alma(averageSource1, averageLength1, 0.85, 6)
"VWMA" => ta.vwma(averageSource1, averageLength1)
"VWAP" => ta.vwap(averageSource1)
=> runtime.error("Moving average type '" + averageType1 +
"' not found!"), na
//----------------------------------
//FAST MA INPUTS
averageType2 = input.string(defval="SMA", group="Fast MA Inputs", title="Fast MA Type", options=["SMA","EMA","WMA","HMA","RMA","SWMA","ALMA","VWMA","VWAP"])
averageLength2 = input.int(defval=40, group="Fast MA Inputs", title="Fast MA Length", maxval=40)
averageSource2 = input(close, title="Fast MA Source", group="Fast MA Inputs")
//FAST MA TYPE
MovAvgType2(averageType2, averageSource2, averageLength2) =>
switch str.upper(averageType2)
"SMA" => ta.sma(averageSource2, averageLength2)
"EMA" => ta.ema(averageSource2, averageLength2)
"WMA" => ta.wma(averageSource2, averageLength2)
"HMA" => ta.hma(averageSource2, averageLength2)
"RMA" => ta.rma(averageSource2, averageLength2)
"SWMA" => ta.swma(averageSource2)
"ALMA" => ta.alma(averageSource2, averageLength2, 0.85, 6)
"VWMA" => ta.vwma(averageSource2, averageLength2)
"VWAP" => ta.vwap(averageSource2)
=> runtime.error("Moving average type '" + averageType2 +
"' not found!"), na
//---------------------------------------------------
//MA VALUES
FASTMA = MovAvgType2(averageType2, averageSource2, averageLength2)
SLOWMA = MovAvgType1(averageType1, averageSource1, averageLength1)
//BUY/SELL TRIGGERS
bullish_trend = FASTMA > SLOWMA and close > FASTMA
bearish_trend = FASTMA < SLOWMA and close < FASTMA
//MAs PLOT
plot1 = plot(SLOWMA,color=color.gray, linewidth=1, title="Slow-MA")
plot2 = plot(FASTMA,color=color.yellow, linewidth=1, title="Fast-MA")
fill(plot1, plot2, color=SLOWMA>FASTMA ? color.new(color.red, 70) : color.new(color.green, 70), title="EMA Clouds")
//-----------------------------------------------------
//PARABOLIC SAR USER INPUT
usepsarFilter = input.bool(title='Use Parabolic Sar?', defval=true, group = "Parabolic SAR Inputs")
psar_display = input.bool(title="Display Parabolic Sar?", defval=false, group="Parabolic SAR Inputs")
start = input.float(title="Start", defval=0.02, group="Parabolic SAR Inputs", step=0.001)
increment = input.float(title="Increment", defval=0.02, group="Parabolic SAR Inputs", step=0.001)
maximum = input.float(title="Maximum", defval=0.2, group="Parabolic SAR Inputs", step=0.001)
//SAR VALUES
psar = request.security(syminfo.tickerid, "D", ta.sar(start, increment, maximum))
//BULLISH & BEARISH PSAR CONDITIONS
bullish_psar = (usepsarFilter ? low > psar : bullish_trend )
bearsish_psar = (usepsarFilter ? high < psar : bearish_trend)
//SAR PLOT
psar_plot = if low > psar
color.rgb(198, 234, 199, 13)
else
color.rgb(219, 134, 134, 48)
plot(psar_display ? psar : na, color=psar_plot, title="Par SAR")
//-------------------------------------
//ENTRIES AND EXITS
long_entry = if inTradeWindow and bullish_trend and bullish_psar and LongPositions
true
long_exit = if inTradeWindow and bearish_trend
true
short_entry = if inTradeWindow and bearish_trend and bearsish_psar and ShortPositions
true
short_exit = if inTradeWindow and bullish_trend
true
//--------------------------------------
//RISK MANAGEMENT - SL, MONEY AT RISK, POSITION SIZING
atrPeriod = input.int(14, "ATR Length", group="Risk Management Inputs")
sl_atr_multiplier = input.float(title="Long Position - Stop Loss - ATR Multiplier", defval=2, group="Risk Management Inputs", step=0.5)
sl_atr_multiplier_short = input.float(title="Short Position - Stop Loss - ATR Multiplier", defval=2, group="Risk Management Inputs", step=0.5)
i_pctStop = input.float(2, title="% of Equity at Risk", step=.5, group="Risk Management Inputs")/100
//ATR VALUE
_atr = ta.atr(atrPeriod)
//CALCULATE LAST ENTRY PRICE
lastEntryPrice = strategy.opentrades.entry_price(strategy.opentrades - 1)
//STOP LOSS - LONG POSITIONS
var float sl = na
//CALCULTE SL WITH ATR AT ENTRY PRICE - LONG POSITION
if (strategy.position_size[1] != strategy.position_size)
sl := lastEntryPrice - (_atr * sl_atr_multiplier)
//IN TRADE - LONG POSITIONS
inTrade = strategy.position_size > 0
//PLOT SL - LONG POSITIONS
plot(inTrade ? sl : na, color=color.blue, style=plot.style_circles, title="Long Position - Stop Loss")
//CALCULATE ORDER SIZE - LONG POSITIONS
positionSize = (strategy.equity * i_pctStop) / (_atr * sl_atr_multiplier)
//============================================================================================
//STOP LOSS - SHORT POSITIONS
var float sl_short = na
//CALCULTE SL WITH ATR AT ENTRY PRICE - SHORT POSITIONS
if (strategy.position_size[1] != strategy.position_size)
sl_short := lastEntryPrice + (_atr * sl_atr_multiplier_short)
//IN TRADE SHORT POSITIONS
inTrade_short = strategy.position_size < 0
//PLOT SL - SHORT POSITIONS
plot(inTrade_short ? sl_short : na, color=color.red, style=plot.style_circles, title="Short Position - Stop Loss")
//CALCULATE ORDER - SHORT POSITIONS
positionSize_short = (strategy.equity * i_pctStop) / (_atr * sl_atr_multiplier_short)
//===============================================
//LONG STRATEGY
strategy.entry("Long", strategy.long, comment="Long", when = long_entry, qty=positionSize)
if (strategy.position_size > 0)
strategy.close("Long", when = (long_exit), comment="Close Long")
strategy.exit("Long", stop = sl, comment="Exit Long")
//SHORT STRATEGY
strategy.entry("Short", strategy.short, comment="Short", when = short_entry, qty=positionSize_short)
if (strategy.position_size < 0)
strategy.close("Short", when = (short_exit), comment="Close Short")
strategy.exit("Short", stop = sl_short, comment="Exit Short")
//ONE DIRECTION TRADING COMMAND (BELLOW ONLY ACTIVATE TO CORRECT BUGS)