یہ حکمت عملی حرکت پذیر اوسط کراس اوور سسٹم پر مبنی ہے۔ مختلف ادوار کے حرکت پذیر اوسط کا حساب کتاب کرکے اور ان کے مابین تجارت کے اشارے کے طور پر کراسنگ کا استعمال کرتے ہوئے ، سگنل فلٹرنگ کے لئے آر ایس آئی اشارے کے ساتھ ، یہ تجارت کی تعدد کو کم کرتے ہوئے منافع میں بہتری لاتا ہے۔
تیز ، درمیانے اور سست چلنے والے اوسط کا حساب لگائیں۔ تیز ایم اے اور درمیانے ایم اے ٹریڈنگ چینل تشکیل دیتے ہیں۔
جب قیمت تیز رفتار ایم اے سے تجاوز کرتی ہے تو طویل سفر کریں ، اور جب قیمت تیز رفتار ایم اے سے تجاوز کرتی ہے تو مختصر سفر کریں۔
رجحان کی سمت کا فیصلہ: تیز ایم اے > میڈیم ایم اے تیزی سے ہے ، تیز ایم اے < میڈیم ایم اے bearish ہے۔ صرف چینل کی سمت میں تجارت کریں۔
سست ایم اے رجحان فلٹر کے طور پر کام کرتا ہے: صرف سست ایم اے کے اوپر طویل اور سست ایم اے کے نیچے مختصر.
آر ایس آئی فلٹر: صرف آر ایس آئی خرید سطح سے اوپر طویل اور آر ایس آئی فروخت کی سطح سے نیچے مختصر جائیں۔
اے ٹی آر پر مبنی سٹاپ نقصان اور منافع لے لو.
لچکدار ایم اے کے مجموعے جو مارکیٹ میں ہونے والی تبدیلیوں کے مطابق ڈھال سکتے ہیں۔
آر ایس آئی فلٹر جھوٹے بریک آؤٹ سے بچتا ہے اور سگنل کے معیار کو بہتر بناتا ہے۔
اے ٹی آر متحرک ایس ایل / ٹی پی زیادہ سے زیادہ استعمال کے خطرے کو کم کرتا ہے۔
سست ایم اے اور آر ایس آئی کی طرف سے ڈبل فلٹرز غیر ضروری تجارت سے بچنے کے لئے.
ایم اے کراس اوورز قیمتوں کی کارروائیوں میں تاخیر کا شکار ہوسکتے ہیں۔
ڈبل فلٹرز کچھ تجارتی مواقع کھو سکتے ہیں.
اے ٹی آر ایس ایل معمول ایس ایل رینج سے تجاوز کر سکتا ہے.
پیرامیٹرز کی ناقص ایڈجسٹمنٹ کی وجہ سے بہت کثرت سے یا بہت کم تجارت ہوتی ہے۔
متعلقہ رسک مینجمنٹ اقدامات:
تاخیر کو کم کرنے کے لیے کم مدت کا استعمال کریں۔
مناسب تجارتی تعدد برقرار رکھنے کے لئے فلٹر پیرامیٹرز کو ایڈجسٹ کریں.
قابل قبول رینج کے اندر SL رکھنے کے لئے ATR ضارب کو ایڈجسٹ کریں.
بہترین مجموعہ تلاش کرنے کے لئے پیرامیٹرز کو بہتر بنائیں.
مختلف ایم اے اقسام کے ٹیسٹ کے مجموعے.
ایم اے کی مدت کو بہتر بنائیں.
RSI پیرامیٹرز کو بہتر بنائیں.
ATR SL / TP گتانک کو بہتر بنائیں.
بہترین فلٹر طاقت تلاش کرنے کے لئے فلٹر پیرامیٹرز کو بہتر بنائیں.
یہ حکمت عملی ایم اے ، آر ایس آئی اور اے ٹی آر کو جوڑتی ہے ، جو پیرامیٹر کی اصلاح کے ذریعے ، مختلف مارکیٹوں میں موافقت پذیر تجارتی نظام تیار کرسکتی ہے۔ سنگل اشارے کی حکمت عملی کے مقابلے میں ، یہ غلط سگنل کو مؤثر طریقے سے کم کرتی ہے اور منافع بخش کو بہتر بناتی ہے۔ لیکن کوئی تکنیکی حکمت عملی مارکیٹ کے خطرات سے مکمل طور پر بچ نہیں سکتی ہے۔ حفاظتی تدابیر کے طور پر سخت رسک مینجمنٹ کے طریقوں کی ضرورت ہے۔
/*backtest start: 2023-10-13 00:00:00 end: 2023-11-12 00:00:00 period: 12h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 // *** USE AT YOUR OWN RISK *** // FIRST: This is MASSIVELY derived from other people's work... // I honestly hadn't found a mixed indicator MA strategy tool that does what this now does. If it is out there, apologies!! // This tool can help backtest various MA trends; can factor in RSI levels (or not); and can factor in a fixed HTF MA (or not). // You can apply a 'retest entry' or a 'breakout entry', and you can apply various risk mgt for SL/TP orders based on: // 1) No SL/TP or 2) a fixed %, or 3) dynamic ATR multipliers. // For those of us who love indicators & analysis, and make no money... and LOVE every day of it :) // Thank you, tack, salute! strategy('Negroni MA & RSI Strategy', shorttitle='Negroni MA & RSI Strategy', overlay=true, pyramiding=3, default_qty_type=strategy.percent_of_equity, default_qty_value=3, initial_capital=100000) // === Inputs === // // Retest or Breakout Strategy s1 = input(true, title='Retest Entry strategy', group="Trade entry strategy", tooltip = "RETEST entry strat: price crosses UNDER FastMA INTO the 'MA trend zone'. CONFLUENCE checks: 1) Fast MA > Trend MA > SlowMA; AND 2) Price (close) is above fixed HTF MA; AND 3) RSI is above your chosen level. [and vice versa for shorts]. You can effectively 'disable' confluence checks (see info tooltips when selecting your options).") s2 = input(false, title='Breakout Entry strategy', group="Trade entry strategy", tooltip = "BREAKOUT entry strat: price crosses OVER FastMA OUT the 'MA trend zone'. CONFLUENCE checks: 1) Fast MA > Trend MA > SlowMA; AND 2) Price (close) is above fixed HTF MA; AND 3) RSI is above your chosen level. [and vice versa for shorts]. You can effectively 'disable' confluence checks (see info tooltips when selecting your options).") // Stop-loss and Take-profit Inputs v1 = input(false, title='Strat 1) No SL/TP', group="Risk Mgt strategy", tooltip = "Long trades are closed when the LOW crosses back UNDER the fastMA again, and shorts are closed when the HIGH crosses back OVER the fastMA again. (You can select more than 1 strategy.)") v2 = input(false, title='Strat 2) Static % SL/TP', group="Risk Mgt strategy", tooltip = "Your SL/TP will be a fixed % away from avg. position price... WARNING: You should change this for various asset classes; FX vol is not the same as crypto altcoin vol! (You can select more than 1 strategy.)") v3 = input(true, title='Strat 3) Dynamic ATR SL/TP', group="Risk Mgt strategy", tooltip = "Your SL/TP is a multiple of your selected ATR range (default is 50, see 'info' when you select ATR range). ATR accounts for the change in vol of different asset classes somewhat, HOWEVER... you should probably still not have the same multiplier trading S&P500 as you would trading crypto altcoins! (You can select more than 1 strategy.)") v2stoploss_input = input.float(2.5, title='2) Fixed Stop Loss %', minval=0.01, tooltip = "e.g. Avg. long BTCUSDT position price is $23000, and SL is 2.5%. The SL price is: 23000 x (1-0.025) = $22425") / 100 v2takeprofit_input = input.float(3.0, title='2) Fixed Take Profit %', minval=0.01, tooltip = "e.g. Avg. long BTCUSDT position price is $23000, and TP is 3.0%. The TP price is: 23000 x (1+0.030) = $23690") / 100 atrLength=input.int(defval=50, title= '3) ATR Length', minval=1, tooltip = "Standard ATR length is usually 14, however... your SL/TP will move POST entry, and can tighten or widen your initial SL/TP... for better AND usually for worse! Find a trade (strat 3) on the chart, look at the SL/TP lines, now change the number to 5, you'll see.") v3stoploss_input = input.float(defval=2.0, title= '3) ATR SL Multiplier', minval=1, tooltip = "e.g. Avg. long BTCUSDT position price is $23000, and ATR SL mutliplier is 2.0. Lets say ATR is 200 on this day, then SL price is: 23000 - (2 x ATR) = $22600") v3takeprofit_input = input.float(defval=2.5, title= '3) ATR TP Multiplier', minval=1, tooltip = "e.g. Avg. long BTCUSDT position price is $23000, and ATR TP mutliplier is 2.5. Lets say ATR is 200 on this day, then TP price is: 23000 + (2.5 x ATR) = $23500") longv2stoploss_level = strategy.position_avg_price * (1 - v2stoploss_input) longv2takeprofit_level = strategy.position_avg_price * (1 + v2takeprofit_input) shortv2stoploss_level = strategy.position_avg_price * (1 + v2stoploss_input) shortv2takeprofit_level = strategy.position_avg_price * (1 - v2takeprofit_input) longv3stoploss_level = strategy.position_avg_price - (v3stoploss_input*(ta.atr(atrLength))) longv3takeprofit_level = strategy.position_avg_price + (v3takeprofit_input*(ta.atr(atrLength))) shortv3stoploss_level = strategy.position_avg_price + (v3stoploss_input*(ta.atr(atrLength))) shortv3takeprofit_level = strategy.position_avg_price - (v3takeprofit_input*(ta.atr(atrLength))) // Plots both long and short SL and TP lines (I wasn't good enough to make this only plot the SL/TP conditional on the entry :( ) plot(v2 and v2stoploss_input and longv2stoploss_level ? longv2stoploss_level : na, title = 'Strat 2) long SL', color=color.new(#e7f6e9, 40), style=plot.style_linebr, linewidth=2, title='v2 longStoploss') plot(v2 and v2takeprofit_input ? longv2takeprofit_level : na, title = 'Strat 2) long TP', color=color.new(#e7f6e9, 40), style=plot.style_linebr, linewidth=2, title='v2 longProfit') plot(v2 and v2stoploss_input and shortv2stoploss_level ? shortv2stoploss_level : na, title = 'Strat 2) short SL', color=color.new(#ebf951, 40), style=plot.style_linebr, linewidth=2, title='v2 shortStoploss') plot(v2 and v2takeprofit_input ? shortv2takeprofit_level : na, title = 'Strat 2) short TP', color=color.new(#ebf951, 40), style=plot.style_linebr, linewidth=2, title='v2 shortProfit') plot(v3 and v3stoploss_input and longv3stoploss_level ? longv3stoploss_level : na, title = 'Strat 3) long SL', color=color.new(#e7f6e9, 40), style=plot.style_linebr, linewidth=2, title='v3 longStoploss') plot(v3 and v3takeprofit_input ? longv3takeprofit_level : na, title = 'Strat 3) long TP', color=color.new(#e7f6e9, 40), style=plot.style_linebr, linewidth=2, title='v3 longProfit') plot(v3 and v3stoploss_input and shortv3stoploss_level ? shortv3stoploss_level : na, title = 'Strat 3) short SL', color=color.new(#ebf951, 40), style=plot.style_linebr, linewidth=2, title='v3 shortStoploss') plot(v3 and v3takeprofit_input ? shortv3takeprofit_level : na, title = 'Strat 3) short TP', color=color.new(#ebf951, 40), style=plot.style_linebr, linewidth=2, title='v3 shortProfit') // RSI rsiLength = input.int(defval=14, title = 'RSI length', minval = 1, group="RSI options") rsiBuyLevel = input.int(defval=55, title = 'RSI Buy signal', minval = 1, group="RSI options", tooltip = "RSI oversold levels are usually 20-30, some like using 50 as support. If you don't care for RSI levels, then set buy signal at 1... i.e always buys!") rsiSellLevel = input.int(defval=45, title = 'RSI Sell signal', minval = 1, group="RSI options", tooltip = "RSI overbought levels are usually 70-80, some like using 50 as resistance. If you don't care for RSI levels, then set sell signal at 99... i.e always sells!") src = close up = ta.rma(math.max(ta.change(src), 0), rsiLength) down = ta.rma(-math.min(ta.change(src), 0), rsiLength) rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - 100 / (1 + up / down) ///// Moving average types and variables //////// // Fast MA fastMAtype = input.string(title='Fast MA Type', defval='EMA', options=['EMA', 'SMA', 'VWMA', 'HMA'], group="Fast MA options", tooltip = "The 'Fast MA' and 'Trend MA' will form the MA zone from which your entries will trigger.") maFastSource = input(defval=close, title='Fast MA Source', group="Fast MA options") maFastLength = input.int(defval=13, title='Fast MA Period', minval=1, group="Fast MA options") fastMA = fastMAtype == 'EMA' ? ta.ema(maFastSource, maFastLength) : fastMAtype == 'SMA' ? ta.sma(maFastSource, maFastLength) : fastMAtype == 'VWMA' ? ta.vwma(maFastSource, maFastLength) : ta.hma(maFastSource, maFastLength) // Trend MA trendMAtype = input.string(title='Trend MA Type', defval='EMA', options=['EMA', 'SMA', 'VWMA', 'HMA'], group="Trend MA options", tooltip = "The 'Fast MA' and 'Trend MA' will form the MA zone from which your entries will trigger.") maTrendSource = input(defval=close, title='Trend MA Source', group="Trend MA options") maTrendLength = input.int(defval=32, title='Trend MA Period', minval=1, group="Trend MA options") trendMA = trendMAtype == 'EMA' ? ta.ema(maTrendSource, maTrendLength) : trendMAtype == 'SMA' ? ta.sma(maTrendSource, maTrendLength) : trendMAtype == 'VWMA' ? ta.vwma(maTrendSource, maTrendLength) : ta.hma(maTrendSource, maTrendLength) // Slow MA slowMAtype = input.string(title='Slow MA Type', defval='EMA', options=['EMA', 'SMA', 'VWMA', 'HMA'], group="Slow MA options", tooltip = "The 'Slow MA' acts as confluence i.e. Only triggers 'longs' above this, and only triggers 'shorts' below it. If you don't care for 'Slow MA' confluence, just change the options to match the 'Trend MA' options you've chosen.") maSlowSource = input(defval=close, title='Slow MA Source', group="Slow MA options") maSlowLength = input.int(defval=64, title='Slow MA Period', minval=1, group="Slow MA options") slowMA = slowMAtype == 'EMA' ? ta.ema(maSlowSource, maSlowLength) : slowMAtype == 'SMA' ? ta.sma(maSlowSource, maSlowLength) : slowMAtype == 'VWMA' ? ta.vwma(maSlowSource, maSlowLength) : ta.hma(maSlowSource, maSlowLength) // Plot MAs and colour-fills inbetween the fastMA & trendMA to make pretty clouds... // (if you aren't making art whilst trading, then why even bother!) fastMAline = plot(fastMA, title='Fast MA', color=color.new(#b9cbef, 60)) trendMAline = plot(trendMA, title='Trend MA', color=color.new(#4b21f3, 50), style=plot.style_stepline) slowMAline = plot(slowMA, title='Slow MA', color=color.new(#3b3eff, 30)) fill(fastMAline, trendMAline, color=fastMA > trendMA ? color.rgb(232, 234, 163, 70) : color.rgb(155, 17, 30, 60), title='MA Trend Zone', editable = true) // Fixed 100 MA (e.g. if you are on the 4H, then this will show the 1D 100MA) fixedMA1type = input.string(title='Fixed MA Type', defval='EMA', options=['EMA', 'SMA', 'VWMA', 'HMA'], group="Fixed HTF MA 1 options", tooltip = "This is the fixed HTF MA used as confluence i.e. Only triggers 'longs' above this, and only triggers 'shorts' below it. If you don't care for HTF confluence, just change the timeframe/options to match the 'Slow MA' options you've chosen.") ema1FixSource = input(defval=close, title='Fixed EMA Source', group="Fixed HTF MA 1 options") ema1FixLength = input.int(defval=100, title='Fixed EMA Period', minval=1, group="Fixed HTF MA 1 options") ema1Res = input.timeframe(title="Fixed EMA Timeframe", defval="D", group="Fixed HTF MA 1 options") ema1col = input.bool(title="Fixed HTF EMA bull/bear colouring", defval=true, group="Fixed HTF MA 1 options", tooltip = "Meh... this can give the fixed HTF MA line a bull/bear colour. Nothing to see here really.") ema1smooth = input.bool(title="Smoothed?", defval=false, group="Fixed HTF MA 1 options", tooltip = "Just smoothes the above.") fixedMA1 = fixedMA1type == 'EMA' ? ta.ema(ema1FixSource, ema1FixLength) : fixedMA1type == 'SMA' ? ta.sma(ema1FixSource, ema1FixLength) : fixedMA1type == 'VWMA' ? ta.vwma(ema1FixSource, ema1FixLength) : ta.hma(ema1FixSource, ema1FixLength) ema1Step = request.security(syminfo.tickerid, ema1Res, fixedMA1[barstate.isrealtime ? 1 : 0]) ema1Smooth = request.security(syminfo.tickerid, ema1Res, fixedMA1[barstate.isrealtime ? 1 : 0], gaps=barmerge.gaps_on) plot(ema1smooth ? ema1Smooth : ema1Step, color=ema1col ? (close > ema1Step ? color.rgb(240, 232, 73, 30) : color.rgb(240, 232, 73, 70)) : color.rgb(240, 222, 23, 20), linewidth=3, title="Fixed HTF 100 MA") // Fixed 200 MA (e.g. if you are on the 4H, then this will show the 1D 200MA) fixedMA2type = input.string(title='Fixed MA Type', defval='EMA', options=['EMA', 'SMA', 'VWMA', 'HMA'], group="Fixed HTF MA 2 options", tooltip = "This is purely a cosmetic additional feature, for those of us who need more indicators!") ema2FixSource = input(defval=close, title='Fixed EMA Source', group="Fixed HTF MA 2 options") ema2FixLength = input.int(defval=200, title='Fixed EMA Period', minval=1, group="Fixed HTF MA 2 options") ema2Res = input.timeframe(title="Fixed EMA Timeframe", defval="D", group="Fixed HTF MA 2 options") ema2col = input.bool(title="Fixed HTF EMA bull/bear colouring", defval=true, group="Fixed HTF MA 2 options", tooltip = "Meh... this can give the fixed HTF MA line a bull/bear colour. Nothing to see here really.") ema2smooth = input.bool(title="Smoothed?", defval=false, group="Fixed HTF MA 2 options", tooltip = "Just smoothes the above.") fixedMA2 = fixedMA2type == 'EMA' ? ta.ema(ema2FixSource, ema2FixLength) : fixedMA2type == 'SMA' ? ta.sma(ema2FixSource, ema2FixLength) : fixedMA2type == 'VWMA' ? ta.vwma(ema2FixSource, ema2FixLength) : ta.hma(ema2FixSource, ema2FixLength) ema2Step = request.security(syminfo.tickerid, ema2Res, fixedMA2[barstate.isrealtime ? 1 : 0]) ema2Smooth = request.security(syminfo.tickerid, ema2Res, fixedMA2[barstate.isrealtime ? 1 : 0], gaps=barmerge.gaps_on) plot(ema2smooth ? ema2Smooth : ema2Step, color=ema2col ? (close > ema2Step ? color.rgb(155, 17, 30, 20) : color.rgb(155, 17, 30, 60)) : color.rgb(155, 17, 30, 20), linewidth=3, title="Fixed HTF 200 MA") //////////////////////////////////////////////// // ========== TRADE ENTRY PARAMETERS ============ // v1 Retest Strategy Parameters BBLongTrigger1 = ta.crossunder(close, fastMA) BBShortTrigger1 = ta.crossover(close, fastMA) BBcloseLongTrigger1 = ta.crossunder(low, fastMA) BBcloseShortTrigger1 = ta.crossover(high, fastMA) MABuyGuard1 = fastMA > trendMA and trendMA > slowMA MASellGuard1 = fastMA < trendMA and trendMA < slowMA longFixedMAGuard1 = close > ema1Step shortFixedMAGuard1 = close < ema1Step rsiBuyGuard1 = rsi > rsiBuyLevel rsiSellGuard1 = rsi < rsiSellLevel // v1 Breakout Strategy Parameters brBBLongTrigger1 = ta.crossover(close, fastMA) brBBShortTrigger1 = ta.crossunder(close, fastMA) // v2 Retest Strategy Parameters BBLongTrigger2 = ta.crossunder(close, fastMA) BBShortTrigger2 = ta.crossover(close, fastMA) BBcloseLongTrigger2 = ta.crossunder(low, fastMA) BBcloseShortTrigger2 = ta.crossover(high, fastMA) MABuyGuard2 = trendMA > slowMA and trendMA > slowMA MASellGuard2 = trendMA < slowMA and trendMA < slowMA longFixedMAGuard2 = close > ema1Step shortFixedMAGuard2 = close < ema1Step rsiBuyGuard2 = rsi > rsiBuyLevel rsiSellGuard2 = rsi < rsiSellLevel // v2 Breakout Strategy Parameters brBBLongTrigger2 = ta.crossover(close, fastMA) brBBShortTrigger2 = ta.crossunder(close, fastMA) // v3 Retest Strategy Parameters BBLongTrigger3 = ta.crossunder(close, fastMA) BBShortTrigger3 = ta.crossover(close, fastMA) BBcloseLongTrigger3 = ta.crossunder(low, fastMA) BBcloseShortTrigger3 = ta.crossover(high, fastMA) MABuyGuard3 = trendMA > slowMA and trendMA > slowMA MASellGuard3 = trendMA < slowMA and trendMA < slowMA longFixedMAGuard3 = close > ema1Step shortFixedMAGuard3 = close < ema1Step rsiBuyGuard3 = rsi > rsiBuyLevel rsiSellGuard3 = rsi < rsiSellLevel // v3 Breakout Strategy Parameters brBBLongTrigger3 = ta.crossover(close, fastMA) brBBShortTrigger3 = ta.crossunder(close, fastMA) //////////////////////////////////////////////// // ====== TRADE ENTRY TRIGGERS ====== // v1 Retest Signals Long_1 = BBLongTrigger1 and MABuyGuard1 and rsiBuyGuard1 and longFixedMAGuard1 closeLong_1 = BBcloseLongTrigger1 Short_1 = BBShortTrigger1 and MASellGuard1 and rsiSellGuard1 and shortFixedMAGuard1 closeShort_1 = BBcloseShortTrigger1 if s1 == true and v1 == true strategy.entry("Strat 1 'Retest' Long", strategy.long, when = Long_1, alert_message = "Strat 1 'Retest' - Buy Signal!") strategy.close("Strat 1 'Retest' Long", when = closeLong_1, alert_message = "Strat 1 'Retest' - Close Signal!") strategy.entry("Strat 1 'Retest' Short", strategy.short, when = Short_1, alert_message = "Strat 1 'Retest' - Short Signal!") strategy.close("Strat 1 'Retest' Short", when = closeShort_1, alert_message = "Strat 1 'Retest' - Close Signal!") // v1 Breakout Signals brLong_1 = brBBLongTrigger1 and MABuyGuard1 and rsiBuyGuard1 and longFixedMAGuard1 brcloseLong_1 = BBcloseLongTrigger1 brShort_1 = brBBShortTrigger1 and MASellGuard1 and rsiSellGuard1 and shortFixedMAGuard1 brcloseShort_1 = BBcloseShortTrigger1 if s2 == true and v1 == true strategy.entry("Strat 1 'Breakout' Long", strategy.long, when = brLong_1, alert_message = "Strat 1 'Breakout' - Buy Signal!") strategy.close("Strat 1 'Breakout' Long", when = closeLong_1, alert_message = "Strat 1 'Breakout' - Close Signal!") strategy.entry("Strat 1 'Breakout' Short", strategy.short, when = brShort_1, alert_message = "Strat 1 'Breakout' - Short Signal!") strategy.close("Strat 1 'Breakout' Short", when = closeShort_1, alert_message = "Strat 1 'Breakout' - Close Signal!") // v2 Retest Signals Long_2 = BBLongTrigger2 and MABuyGuard2 and rsiBuyGuard2 and longFixedMAGuard2 Short_2 = BBShortTrigger2 and MASellGuard2 and rsiSellGuard2 and shortFixedMAGuard2 if s1 == true and v2 == true strategy.entry("Strat 2 Retest Long", strategy.long, when = Long_2, alert_message = "Strat 2 Retest - Buy Signal!") strategy.exit("SL/TP Strat 2 Retest long", "Strat 2 Retest Long", stop = longv2stoploss_level, limit = longv2takeprofit_level) strategy.entry("Strat 2 Retest Short", strategy.short, when = Short_2, alert_message = "Strat 2 Retest - Short Signal!") strategy.exit("SL/TP Strat 2 Retest short", "Strat 2 Retest Short", stop = shortv2stoploss_level, limit = shortv2takeprofit_level) // v2 Breakout Signals brLong_2 = brBBLongTrigger2 and MABuyGuard2 and rsiBuyGuard2 and longFixedMAGuard2 brShort_2 = brBBShortTrigger2 and MASellGuard2 and rsiSellGuard2 and shortFixedMAGuard2 if s2 == true and v2 == true strategy.entry("Strat 2 Breakout Long", strategy.long, when = brLong_2, alert_message = "Strat 2 Breakout - Buy Signal!") strategy.exit("SL/TP Strat 2 Breakout long", "Strat 2 Breakout Long", stop = longv2stoploss_level, limit = longv2takeprofit_level) strategy.entry("Strat 2 Breakout Short", strategy.short, when = brShort_2, alert_message = "Strat 2 Breakout - Short Signal!") strategy.exit("SL/TP Strat 2 Breakout short", "Strat 2 Breakout Short", stop = shortv2stoploss_level, limit = shortv2takeprofit_level) // v3 Retest Signals Long_3 = BBLongTrigger3 and MABuyGuard3 and rsiBuyGuard3 and longFixedMAGuard3 Short_3 = BBShortTrigger3 and MASellGuard3 and rsiSellGuard3 and shortFixedMAGuard3 if s1 == true and v3 == true strategy.entry("Strat 3 Retest Long", strategy.long, when = Long_3, alert_message = "Strat 3 Retest - Buy Signal!") strategy.exit("SL/TP Strat 3 Retest long", "Strat 3 Retest Long", stop = longv3stoploss_level, limit = longv3takeprofit_level) strategy.entry("Strat 3 Retest Short", strategy.short, when = Short_3, alert_message = "Strat 3 Retest - Short Signal!") strategy.exit("SL/TP Strat 3 Retest short", "Strat 3 Retest Short", stop = shortv3stoploss_level, limit = shortv3takeprofit_level) // v3 Breakout Signals brLong_3 = brBBLongTrigger3 and MABuyGuard3 and rsiBuyGuard3 and longFixedMAGuard3 brShort_3 = brBBShortTrigger3 and MASellGuard3 and rsiSellGuard3 and shortFixedMAGuard3 if s2 == true and v3 == true strategy.entry("Strat 3 Breakout Long", strategy.long, when = brLong_3, alert_message = "Strat 3 Breakout - Buy Signal!") strategy.exit("SL/TP Strat 3 Breakout long", "Strat 3 Breakout Long", stop = longv3stoploss_level, limit = longv3takeprofit_level) strategy.entry("Strat 3 Breakout Short", strategy.short, when = brShort_3, alert_message = "Strat 3 Breakout - Short Signal!") strategy.exit("SL/TP Strat 3 Breakout short", "Strat 3 Breakout Short", stop = shortv3stoploss_level, limit = shortv3takeprofit_level) ////////////////////////////////////////////////