حرکت پذیر اوسط کراس اوور حکمت عملی ایک رفتار کی حکمت عملی ہے جو رجحان کی سمت کا تعین کرنے اور تجارتی سگنل پیدا کرنے کے لئے ڈبل حرکت پذیر اوسط کے کراس اوور سگنلز کا استعمال کرتی ہے۔ اس میں 2 سادہ حرکت پذیر اوسط اور 1 اشاریاتی حرکت پذیر اوسط استعمال ہوتا ہے ، جو ان کے کراس اوور کی بنیاد پر طویل اور مختصر کا فیصلہ کرتا ہے ، جو درمیانی مدتی تجارتی حکمت عملی سے تعلق رکھتا ہے۔
اس حکمت عملی میں 3 حرکت پذیر اوسط استعمال کیے جاتے ہیں:
حکمت عملی EMA1، SMA1 اور SMA2 کے درمیان تعلقات کی بنیاد پر رجحان کا جائزہ لیتی ہے:
داخلہ سگنل:
باہر نکلنے کا اشارہ:
حکمت عملی داخلہ اور باہر نکلنے کے لئے اپنی مرضی کے مطابق چلتی اوسط کے ساتھ، متعدد پیرامیٹر ترتیب فراہم کرتا ہے.
اس حکمت عملی کے فوائد:
اس حکمت عملی کے خطرات:
Whipsaw خطرے کو MA ادوار کو ایڈجسٹ کرکے کم کیا جاسکتا ہے۔ پیرامیٹر حساسیت کو اصلاح کے ذریعے حل کیا جاسکتا ہے۔ دیگر اہم اشارے کو شامل کرکے تاخیر کا خطرہ کم کیا جاسکتا ہے۔
ممکنہ اصلاحات:
موونگ ایوریج کراس اوور حکمت عملی سیدھی ہے ، تیز اور سست ایم اے کو عبور کرکے رجحان اور وقت کا فیصلہ کرتی ہے۔ اس کا فائدہ لچکدار تشکیلات کے ساتھ رفتار کو حاصل کرنا ہے ، لیکن وِپسا اور پسماندگی جیسے خطرات موجود ہیں۔ اضافی فلٹرز جیسے اصلاحات کے ساتھ ، یہ ایک بہت ہی عملی مقداری تجارتی حکمت عملی بن سکتی ہے۔
/*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)