চলমান গড় ক্রসওভার কৌশল একটি গতি কৌশল যা প্রবণতা দিক নির্ধারণ এবং ট্রেডিং সংকেত উত্পন্ন করার জন্য ডাবল চলমান গড়ের ক্রসওভার সংকেতগুলি ব্যবহার করে। এটি 2 টি সহজ চলমান গড় এবং 1 টি এক্সপোনেন্সিয়াল চলমান গড় ব্যবহার করে, তাদের ক্রসওভারের ভিত্তিতে দীর্ঘ এবং সংক্ষিপ্ত বিচার করে, একটি মধ্যমেয়াদী ট্রেডিং কৌশল অন্তর্গত।
কৌশলটি 3 টি চলমান গড় ব্যবহার করেঃ
কৌশলটি EMA1, SMA1 এবং SMA2 এর মধ্যে সম্পর্কের ভিত্তিতে প্রবণতা মূল্যায়ন করেঃ
প্রবেশ সংকেত:
সরে যাওয়ার সিগন্যালঃ
কৌশলটি একাধিক প্যারামিটার কনফিগারেশন প্রদান করে, প্রবেশ এবং প্রস্থান জন্য কাস্টমাইজযোগ্য চলমান গড় সঙ্গে।
এই কৌশলটির সুবিধাঃ
এই কৌশলের ঝুঁকি:
এমএ সময়কালের সমন্বয় করে হুইপসা ঝুঁকি হ্রাস করা যেতে পারে; প্যারামিটার সংবেদনশীলতা অপ্টিমাইজেশান দ্বারা সমাধান করা যেতে পারে; অন্যান্য শীর্ষস্থানীয় সূচকগুলি অন্তর্ভুক্ত করে বিলম্বের ঝুঁকি হ্রাস করা যেতে পারে।
সম্ভাব্য অপ্টিমাইজেশানঃ
মুভিং এভারেজ ক্রসওভার কৌশলটি সরল, দ্রুত এবং ধীর এমএগুলির ক্রসিংয়ের মাধ্যমে প্রবণতা এবং সময় নির্ধারণ করে। এর সুবিধাটি নমনীয় কনফিগারেশনগুলির সাথে গতি ধরে রাখা, তবে উইপসা এবং লেগিংয়ের মতো ঝুঁকি রয়েছে। অতিরিক্ত ফিল্টারগুলির মতো অপ্টিমাইজেশানগুলির সাথে এটি একটি খুব ব্যবহারিক পরিমাণগত ট্রেডিং কৌশল হয়ে উঠতে পারে।
/*backtest start: 2023-09-26 00:00:00 end: 2023-10-26 00:00:00 period: 1h 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/ // © Decam9 //@version=5 strategy(title = "Moving Average Crossover", shorttitle = "MA Crossover Strategy", overlay=true, initial_capital = 100000,default_qty_type = strategy.percent_of_equity, default_qty_value = 10) //Moving Average Inputs EMA1 = input.int(title="Fast EMA", group = "Moving Averages:", inline = "EMAs", defval=5, minval = 1) isDynamicEMA = input.bool(title = "Dynamic Exponential Moving Average?", defval = true, inline = "EMAs", group = "Moving Averages:", tooltip = "Changes the source of the MA based on trend") SMA1 = input.int(title = "Slow SMA", group = "Moving Averages:", inline = "SMAs", defval = 10, minval = 1) isDynamicSMA = input.bool(title = "Dynamic Simple Moving Average?", defval = false, inline = "SMAs", group = "Moving Averages:", tooltip = "Changes the source of the MA based on trend") SMA2 = input.int(title="Trend Determining SMA", group = "Moving Averages:", inline = "MAs", defval=13, minval = 1) //Moving Averages Trend = ta.sma(close, SMA2) Fast = ta.ema(isDynamicEMA ? (close > Trend ? low : high) : close, EMA1) Slow = ta.sma(isDynamicSMA ? (close > Trend ? low : high) : close, SMA1) //Allowed Entries islong = input.bool(title = "Long", group = "Allowed Entries:", inline = "Entries",defval = true) isshort = input.bool(title = "Short", group = "Allowed Entries:", inline = "Entries", defval= true) //Entry Long Conditions buycond = input.string(title="Buy when", group = "Entry Conditions:", inline = "Conditions",defval="Fast-Slow Crossing", options=["Fast-Slow Crossing", "Fast-Trend Crossing","Slow-Trend Crossing"]) intrendbuy = input.bool(title = "In trend", defval = true, group = "Entry Conditions:", inline = "Conditions", tooltip = "In trend if price is above SMA 2") //Entry Short Conditions sellcond = input.string(title="Sell when", group = "Entry Conditions:", inline = "Conditions2",defval="Fast-Slow Crossing", options=["Fast-Slow Crossing", "Fast-Trend Crossing","Slow-Trend Crossing"]) intrendsell = input.bool(title = "In trend",defval = true, group = "Entry Conditions:", inline = "Conditions2", tooltip = "In trend if price is below SMA 2?") //Exit Long Conditions closebuy = input.string(title="Close long when", group = "Exit Conditions:", defval="Fast-Slow Crossing", options=["Fast-Slow Crossing", "Fast-Trend Crossing","Slow-Trend Crossing"]) //Exit Short Conditions closeshort = input.string(title="Close short when", group = "Exit Conditions:", defval="Fast-Slow Crossing", options=["Fast-Slow Crossing", "Fast-Trend Crossing","Slow-Trend Crossing"]) //Filters filterlong =input.bool(title = "Long Entries", inline = 'linefilt', group = 'Apply Filters to', defval = true) filtershort =input.bool(title = "Short Entries", inline = 'linefilt', group = 'Apply Filters to', defval = true) filterend =input.bool(title = "Exits", inline = 'linefilt', group = 'Apply Filters to', defval = true) usevol =input.bool(title = "", inline = 'linefiltvol', group = 'Relative Volume Filter:', defval = false) rvol = input.int(title = "Volume >", inline = 'linefiltvol', group = 'Relative Volume Filter:', defval = 1) len_vol = input.int(title = "Avg. Volume Over Period", inline = 'linefiltvol', group = 'Relative Volume Filter:', defval = 30, minval = 1, tooltip="The current volume must be greater than N times the M-period average volume.") useatr =input.bool(title = "", inline = 'linefiltatr', group = 'Volatility Filter:', defval = false) len_atr1 = input.int(title = "ATR", inline = 'linefiltatr', group = 'Volatility Filter:', defval = 5, minval = 1) len_atr2 = input.int(title = "> ATR", inline = 'linefiltatr', group = 'Volatility Filter:', defval = 30, minval = 1, tooltip="The N-period ATR must be greater than the M-period ATR.") usersi =input.bool(title = "", inline = 'linersi', group = 'Overbought/Oversold Filter:', defval = false) rsitrhs1 = input.int(title = "", inline = 'linersi', group = 'Overbought/Oversold Filter:', defval = 0, minval=0, maxval=100) rsitrhs2 = input.int(title = "< RSI (14) <", inline = 'linersi', group = 'Overbought/Oversold Filter:', defval = 100, minval=0, maxval=100, tooltip="RSI(14) must be in the range between N and M.") issl = input.bool(title = "SL", inline = 'linesl1', group = 'Stop Loss / Take Profit:', defval = false) slpercent = input.float(title = ", %", inline = 'linesl1', group = 'Stop Loss / Take Profit:', defval = 10, minval=0.0) istrailing = input.bool(title = "Trailing", inline = 'linesl1', group = 'Stop Loss / Take Profit:', defval = false) istp = input.bool(title = "TP", inline = 'linetp1', group = 'Stop Loss / Take Profit:', defval = false) tppercent = input.float(title = ", %", inline = 'linetp1', group = 'Stop Loss / Take Profit:', defval = 20) //Conditions for Crossing fscrossup = ta.crossover(Fast,Slow) fscrossdw = ta.crossunder(Fast,Slow) ftcrossup = ta.crossover(Fast,Trend) ftcrossdw = ta.crossunder(Fast,Trend) stcrossup = ta.crossover(Slow,Trend) stcrossdw = ta.crossunder(Slow,Trend) //Defining in trend uptrend = Fast >= Slow and Slow >= Trend downtrend = Fast <= Slow and Slow <= Trend justCrossed = ta.cross(Fast,Slow) or ta.cross(Slow,Trend) //Entry Signals crosslong = if intrendbuy (buycond =="Fast-Slow Crossing" and uptrend ? fscrossup:(buycond =="Fast-Trend Crossing" and uptrend ? ftcrossup:(buycond == "Slow-Trend Crossing" and uptrend ? stcrossup : na))) else (buycond =="Fast-Slow Crossing"?fscrossup:(buycond=="Fast-Trend Crossing"?ftcrossup:stcrossup)) crossshort = if intrendsell (sellcond =="Fast-Slow Crossing" and downtrend ? fscrossdw:(sellcond =="Fast-Trend Crossing" and downtrend ? ftcrossdw:(sellcond == "Slow-Trend Crossing" and downtrend ? stcrossdw : na))) else (sellcond =="Fast-Slow Crossing"?fscrossdw:(buycond=="Fast-Trend Crossing"?ftcrossdw:stcrossdw)) crossexitlong = (closebuy =="Fast-Slow Crossing"?fscrossdw:(closebuy=="Fast-Trend Crossing"?ftcrossdw:stcrossdw)) crossexitshort = (closeshort =="Fast-Slow Crossing"?fscrossup:(closeshort=="Fast-Trend Crossing"?ftcrossup:stcrossup)) // Filters rsifilter = usersi?(ta.rsi(close,14) > rsitrhs1 and ta.rsi(close,14) < rsitrhs2):true volatilityfilter = useatr?(ta.atr(len_atr1) > ta.atr(len_atr2)):true volumefilter = usevol?(volume > rvol*ta.sma(volume,len_vol)):true totalfilter = volatilityfilter and volumefilter and rsifilter //Filtered signals golong = crosslong and islong and (filterlong?totalfilter:true) goshort = crossshort and isshort and (filtershort?totalfilter:true) endlong = crossexitlong and (filterend?totalfilter:true) endshort = crossexitshort and (filterend?totalfilter:true) // Entry price and TP startprice = ta.valuewhen(condition=golong or goshort, source=close, occurrence=0) pm = golong?1:goshort?-1:1/math.sign(strategy.position_size) takeprofit = startprice*(1+pm*tppercent*0.01) // fixed stop loss stoploss = startprice * (1-pm*slpercent*0.01) // trailing stop loss if istrailing and strategy.position_size>0 stoploss := math.max(close*(1 - slpercent*0.01),stoploss[1]) else if istrailing and strategy.position_size<0 stoploss := math.min(close*(1 + slpercent*0.01),stoploss[1]) if golong and islong strategy.entry("long", strategy.long ) if goshort and isshort strategy.entry("short", strategy.short) if endlong strategy.close("long") if endshort strategy.close("short") // Exit via SL or TP strategy.exit(id="sl/tp long", from_entry="long", stop=issl?stoploss:na, limit=istp?takeprofit:na) strategy.exit(id="sl/tp short",from_entry="short",stop=issl?stoploss:na, limit=istp?takeprofit:na)