
La stratégie est basée sur l’indicateur ADX pour déterminer la tendance du marché, combiné à l’indicateur DMI pour déterminer la direction de la pluralité, l’utilisation de l’inclinaison ADX pour déterminer la force de la tendance, définir le filtre des valeurs clés ADX pour les marchés non tendance et aider les signaux de négociation à filtrer la moyenne mobile.
La stratégie exploite pleinement les avantages de l’ADX pour juger des tendances et de la force des tendances, en collaboration avec le jugement de la direction de l’indicateur DMI, pour former un système de suivi de tendance complet. En même temps, l’aide de la moyenne mobile peut filtrer efficacement le bruit du marché non tendance. L’optimisation des paramètres et la combinaison des indicateurs peuvent également améliorer la stabilité et l’efficacité de la stratégie.
/*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')