यह मूल्य विचलन संकेतों पर आधारित एक प्रवृत्ति व्यापार रणनीति है। यह मूल्य विचलन का पता लगाने के लिए आरएसआई, एमएसीडी, स्टोकास्टिक्स आदि जैसे कई संकेतकों का उपयोग करता है और पुष्टि करने के लिए म्यूरी मैथ ऑसिलेटर। यह तब प्रवेश करता है जब मूल्य विचलन संकेत दिखाई देता है और ऑसिलेटर वर्तमान प्रवृत्ति दिशा की पुष्टि करता है।
इस रणनीति का मूल मूल्य विचलन सिद्धांत है। जब मूल्य एक नए उच्च तक पहुंचता है लेकिन संकेतक नहीं करता है, तो इसे मंदी विचलन माना जाता है। जब मूल्य एक नया निम्न प्रिंट करता है लेकिन संकेतक नहीं करता है, तो यह एक तेजी का विचलन है। यह एक संभावित प्रवृत्ति उलट का संकेत देता है। रणनीति व्यापार संकेतों की पुष्टि करने के लिए एक थरथरानवाला के साथ फ्रैक्टल संकेतों को जोड़ती है।
विशेष रूप से प्रवेश की शर्तें निम्नलिखित हैंः
जब ऑसिलेटर मध्य रेखा को पार करता है तो बाहर निकलें।
इस रणनीति के लाभ इस प्रकार हैंः
मुख्य जोखिम हैंः
जोखिम को कम करने के लिए स्टॉप लॉस, स्थिति आकार, पैरामीटर अनुकूलन का सुझाव दें।
कुछ और अनुकूलनः
यह रणनीति संभावित उलटफेरों को जल्दी से पता लगाने के लिए प्रवृत्ति विश्लेषण उपकरण के साथ मूल्य विचलन अवधारणा को एकीकृत करती है। उचित जोखिम प्रबंधन सुधारों के साथ, यह अच्छे जोखिम-समायोजित रिटर्न प्राप्त कर सकता है। आगे की मशीन लर्निंग आधारित अनुकूलन से अधिक स्थिर अल्फा हो सकता है।
/*backtest start: 2024-01-02 00:00:00 end: 2024-02-01 00:00:00 period: 2h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=2 // // Title: [STRATEGY][UL]Price Divergence Strategy V1 // Author: JustUncleL // Date: 23-Oct-2016 // Version: v1.0 // // Description: // A trend trading strategy the uses Price Divergence detection signals, that // are confirmed by the "Murrey's Math Oscillator" (Donchanin Channel based). // // *** USE AT YOUR OWN RISK *** // // Mofidifications: // 1.0 - original // // References: // Strategy Based on: // - [RS]Price Divergence Detector V2 by RicardoSantos // - UCS_Murrey's Math Oscillator by Ucsgears // Some Code borrowed from: // - "Strategy Code Example by JayRogers" // Information on Divergence Trading: // - http://www.babypips.com/school/high-school/trading-divergences // strategy(title='[STRATEGY][UL]Price Divergence Strategy v1.0', pyramiding=0, overlay=true, initial_capital=10000, calc_on_every_tick=false, currency=currency.USD,default_qty_type=strategy.percent_of_equity,default_qty_value=10) // || General Input: method = input(title='Method (0=rsi, 1=macd, 2=stoch, 3=volume, 4=acc/dist, 5=fisher, 6=cci):', defval=1, minval=0, maxval=6) SHOW_LABEL = input(title='Show Labels', type=bool, defval=true) SHOW_CHANNEL = input(title='Show Channel', type=bool, defval=false) uHid = input(true,title="Use Hidden Divergence in Strategy") uReg = input(true,title="Use Regular Divergence in Strategy") // || RSI / STOCH / VOLUME / ACC/DIST Input: rsi_smooth = input(title='RSI/STOCH/Volume/ACC-DIST/Fisher/cci Smooth:', defval=5) // || MACD Input: macd_src = input(title='MACD Source:', defval=close) macd_fast = input(title='MACD Fast:', defval=12) macd_slow = input(title='MACD Slow:', defval=26) macd_smooth = input(title='MACD Smooth Signal:', defval=9) // || Functions: f_top_fractal(_src)=>_src[4] < _src[2] and _src[3] < _src[2] and _src[2] > _src[1] and _src[2] > _src[0] f_bot_fractal(_src)=>_src[4] > _src[2] and _src[3] > _src[2] and _src[2] < _src[1] and _src[2] < _src[0] f_fractalize(_src)=>f_top_fractal(_src) ? 1 : f_bot_fractal(_src) ? -1 : 0 // ||••> START MACD FUNCTION f_macd(_src, _fast, _slow, _smooth)=> _fast_ma = sma(_src, _fast) _slow_ma = sma(_src, _slow) _macd = _fast_ma-_slow_ma _signal = ema(_macd, _smooth) _hist = _macd - _signal // ||<•• END MACD FUNCTION // ||••> START ACC/DIST FUNCTION f_accdist(_smooth)=>_return=sma(cum(close==high and close==low or high==low ? 0 : ((2*close-low-high)/(high-low))*volume), _smooth) // ||<•• END ACC/DIST FUNCTION // ||••> START FISHER FUNCTION f_fisher(_src, _window)=> _h = highest(_src, _window) _l = lowest(_src, _window) _value0 = .66 * ((_src - _l) / max(_h - _l, .001) - .5) + .67 * nz(_value0[1]) _value1 = _value0 > .99 ? .999 : _value0 < -.99 ? -.999 : _value0 _fisher = .5 * log((1 + _value1) / max(1 - _value1, .001)) + .5 * nz(_fisher[1]) // ||<•• END FISHER FUNCTION method_high = method == 0 ? rsi(high, rsi_smooth) : method == 1 ? f_macd(macd_src, macd_fast, macd_slow, macd_smooth) : method == 2 ? stoch(close, high, low, rsi_smooth) : method == 3 ? sma(volume, rsi_smooth) : method == 4 ? f_accdist(rsi_smooth) : method == 5 ? f_fisher(high, rsi_smooth) : method == 6 ? cci(high, rsi_smooth) : na method_low = method == 0 ? rsi(low, rsi_smooth) : method == 1 ? f_macd(macd_src, macd_fast, macd_slow, macd_smooth) : method == 2 ? stoch(close, high, low, rsi_smooth) : method == 3 ? sma(volume, rsi_smooth) : method == 4 ? f_accdist(rsi_smooth) : method == 5 ? f_fisher(low, rsi_smooth) : method == 6 ? cci(low, rsi_smooth) : na fractal_top = f_fractalize(method_high) > 0 ? method_high[2] : na fractal_bot = f_fractalize(method_low) < 0 ? method_low[2] : na high_prev = valuewhen(fractal_top, method_high[2], 1) high_price = valuewhen(fractal_top, high[2], 1) low_prev = valuewhen(fractal_bot, method_low[2], 1) low_price = valuewhen(fractal_bot, low[2], 1) regular_bearish_div = fractal_top and high[2] > high_price and method_high[2] < high_prev hidden_bearish_div = fractal_top and high[2] < high_price and method_high[2] > high_prev regular_bullish_div = fractal_bot and low[2] < low_price and method_low[2] > low_prev hidden_bullish_div = fractal_bot and low[2] > low_price and method_low[2] < low_prev plot(title='H F', series=fractal_top ? high[2] : na, color=regular_bearish_div or hidden_bearish_div ? maroon : not SHOW_CHANNEL ? na : silver, offset=-2) plot(title='L F', series=fractal_bot ? low[2] : na, color=regular_bullish_div or hidden_bullish_div ? green : not SHOW_CHANNEL ? na : silver, offset=-2) plot(title='H D', series=fractal_top ? high[2] : na, style=circles, color=regular_bearish_div or hidden_bearish_div ? maroon : not SHOW_CHANNEL ? na : silver, linewidth=3, offset=-2) plot(title='L D', series=fractal_bot ? low[2] : na, style=circles, color=regular_bullish_div or hidden_bullish_div ? green : not SHOW_CHANNEL ? na : silver, linewidth=3, offset=-2) plotshape(title='+RBD', series=not SHOW_LABEL ? na : regular_bearish_div ? high[2] : na, text='R', style=shape.labeldown, location=location.absolute, color=maroon, textcolor=white, offset=-2) plotshape(title='+HBD', series=not SHOW_LABEL ? na : hidden_bearish_div ? high[2] : na, text='H', style=shape.labeldown, location=location.absolute, color=maroon, textcolor=white, offset=-2) plotshape(title='-RBD', series=not SHOW_LABEL ? na : regular_bullish_div ? low[2] : na, text='R', style=shape.labelup, location=location.absolute, color=green, textcolor=white, offset=-2) plotshape(title='-HBD', series=not SHOW_LABEL ? na : hidden_bullish_div ? low[2] : na, text='H', style=shape.labelup, location=location.absolute, color=green, textcolor=white, offset=-2) // Code borrowed from UCS_Murrey's Math Oscillator by Ucsgears // - UCS_MMLO // Inputs length = input(100, minval = 10, title = "MMLO Look back Length") quad = input(2, minval = 1, maxval = 4, step = 1, title = "Mininum Quadrant for MMLO Support") mult = 0.125 // Donchanin Channel hi = highest(high, length) lo = lowest(low, length) range = hi - lo multiplier = (range) * mult midline = lo + multiplier * 4 oscillator = (close - midline)/(range/2) a = oscillator > 0 b = oscillator > 0 and oscillator > mult*2 c = oscillator > 0 and oscillator > mult*4 d = oscillator > 0 and oscillator > mult*6 z = oscillator < 0 y = oscillator < 0 and oscillator < -mult*2 x = oscillator < 0 and oscillator < -mult*4 w = oscillator < 0 and oscillator < -mult*6 // Strategy: (Thanks to JayRogers) // === STRATEGY RELATED INPUTS === //tradeInvert = input(defval = false, title = "Invert Trade Direction?") // the risk management inputs inpTakeProfit = input(defval = 0, title = "Take Profit Points", minval = 0) inpStopLoss = input(defval = 0, title = "Stop Loss Points", minval = 0) inpTrailStop = input(defval = 100, title = "Trailing Stop Loss Points", minval = 0) inpTrailOffset = input(defval = 0, title = "Trailing Stop Loss Offset Points", minval = 0) // === RISK MANAGEMENT VALUE PREP === // if an input is less than 1, assuming not wanted so we assign 'na' value to disable it. useTakeProfit = inpTakeProfit >= 1 ? inpTakeProfit : na useStopLoss = inpStopLoss >= 1 ? inpStopLoss : na useTrailStop = inpTrailStop >= 1 ? inpTrailStop : na useTrailOffset = inpTrailOffset >= 1 ? inpTrailOffset : na // === STRATEGY - LONG POSITION EXECUTION === enterLong() => ((uReg and regular_bullish_div) or (uHid and hidden_bullish_div)) and (quad==1? a[1]: quad==2?b[1]: quad==3?c[1]: quad==4?d[1]: false)// functions can be used to wrap up and work out complex conditions exitLong() => oscillator <= 0 strategy.entry(id = "Buy", long = true, when = enterLong() )// use function or simple condition to decide when to get in strategy.close(id = "Buy", when = exitLong() )// ...and when to get out // === STRATEGY - SHORT POSITION EXECUTION === enterShort() => ((uReg and regular_bearish_div) or (uHid and hidden_bearish_div)) and (quad==1? z[1]: quad==2?y[1]: quad==3?x[1]: quad==4?w[1]: false) exitShort() => oscillator >= 0 strategy.entry(id = "Sell", long = false, when = enterShort()) strategy.close(id = "Sell", when = exitShort() ) // === STRATEGY RISK MANAGEMENT EXECUTION === // finally, make use of all the earlier values we got prepped strategy.exit("Exit Buy", from_entry = "Buy", profit = useTakeProfit, loss = useStopLoss, trail_points = useTrailStop, trail_offset = useTrailOffset) strategy.exit("Exit Sell", from_entry = "Sell", profit = useTakeProfit, loss = useStopLoss, trail_points = useTrailStop, trail_offset = useTrailOffset) //EOF