এই কৌশলটি বাজারের প্রবণতা নির্ধারণের জন্য ADX সূচক ব্যবহার করে, দিক নির্ধারণের জন্য DMI সূচকের সাথে মিলিত হয়, প্রবণতা শক্তি পরিমাপ করতে ADX ঢাল ব্যবহার করে, অ-প্রবণতা বাজারের ফিল্টার করার জন্য ADX কী স্তর সেট করে এবং ট্রেড সংকেত ফিল্টার করার জন্য একটি চলমান গড় ব্যবহার করে।
এই কৌশলটি প্রবণতা এবং গতি নির্ধারণে এডিএক্স
/*backtest start: 2024-01-08 00:00:00 end: 2024-01-15 00:00:00 period: 10m basePeriod: 1m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=4 // This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © millerrh with inspiration from @9e52f12edd034d28bdd5544e7ff92e //The intent behind this study is to look at ADX when it has an increasing slope and is above a user-defined key level (23 default). //This is to identify when it is trending. //It then looks at the DMI levels. If D+ is above D- and the ADX is sloping upwards and above the key level, it triggers a buy condition. Opposite for short. //Can use a user-defined moving average to filter long/short if desried. // NOTE: THIS IS MEANT TO BE USED IN CONJUNCTION WITH MY "ATX TRIGGER" INDICATOR FOR VISUALIZATION. MAKE SURE SETTINGS ARE THE SAME FOR BOTH. strategy("ADX | DMI Trend", overlay=true, initial_capital=10000, currency='USD', default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.04) // === BACKTEST RANGE === From_Year = input(defval = 2019, title = "From Year") From_Month = input(defval = 1, title = "From Month", minval = 1, maxval = 12) From_Day = input(defval = 1, title = "From Day", minval = 1, maxval = 31) To_Year = input(defval = 9999, title = "To Year") To_Month = input(defval = 1, title = "To Month", minval = 1, maxval = 12) To_Day = input(defval = 1, title = "To Day", minval = 1, maxval = 31) Start = timestamp(From_Year, From_Month, From_Day, 00, 00) // backtest start window Finish = timestamp(To_Year, To_Month, To_Day, 23, 59) // backtest finish window // == INPUTS == // ADX Info adxlen = input(14, title="ADX Smoothing") dilen = input(14, title="DI Period") keyLevel = input(23, title="Keylevel for ADX") adxLookback = input(3, title="Lookback Period for Slope") // == FILTERING == // Inputs useMaFilter = input(title = "Use MA for Filtering?", type = input.bool, defval = true) maType = input(defval="EMA", options=["EMA", "SMA"], title = "MA Type For Filtering") maLength = input(defval = 200, title = "MA Period for Filtering", minval = 1) // Declare function to be able to swap out EMA/SMA ma(maType, src, length) => maType == "EMA" ? ema(src, length) : sma(src, length) //Ternary Operator (if maType equals EMA, then do ema calc, else do sma calc) maFilter = ma(maType, close, maLength) plot(maFilter, title = "Trend Filter MA", color = color.green, linewidth = 3, style = plot.style_line, transp = 50) // Check to see if the useMaFilter check box is checked, this then inputs this conditional "maFilterCheck" variable into the strategy entry maFilterCheck = if useMaFilter == true maFilter else close // == USE BUILT-IN DMI FUNCTION TO DETERMINE ADX AND BULL/BEAR STRENGTH [diplus, diminus, adx] = dmi(dilen, adxlen) buySignal = (adx[0]-adx[adxLookback] > 0) and adx > keyLevel and diplus > diminus and close >= maFilterCheck // buySignalValue = valuewhen(buySignal, close, 0) shortSignal = (adx[0]-adx[adxLookback] > 0) and adx > keyLevel and diplus < diminus and close <= maFilterCheck // shortSignalValue = valuewhen(shortSignal, close, 0) sellCoverSignal = adx[0]-adx[adxLookback] < 0 // == ENTRY & EXIT CRITERIA // Triggers to be TRUE for it to fire of the BUY Signal : (opposite for the SELL signal). // (1): Price is over the 200 EMA line. (EMA level configurable by the user) // (2): "D+" is OVER the "D-" line // (3): RSI 7 is under 30 (for SELL, RSI 7 is over 70) // 1* = The ultimate is to have a combination line of 3 EMA values, EMA 14, EMA 50 and EMA 200 - And if price is over this "combo" line, then it's a strong signal // == STRATEGY ENTRIES/EXITS == strategy.entry("Long", strategy.long, when = buySignal) strategy.close("Long", when = sellCoverSignal) strategy.entry("Short", strategy.short, when = shortSignal) strategy.close("Short", when = sellCoverSignal) // == ALERTS == // alertcondition(buySignal, title='ADX Trigger Buy', message='ADX Trigger Buy') // alertcondition(sellSignal, title='ADX Trigger Sell', message='ADX Trigger Sell')