Cette stratégie est une stratégie de trading automatisée basée sur le double croisement de la moyenne mobile de l'indicateur technique MACD.
La stratégie utilise cette logique pour aller long sur les croix dorées et position proche sur les croix de mort; ou aller court sur les croix de mort et position proche sur les croix d'or pour suivre automatiquement la tendance.
Réduction des risques:
La stratégie peut être améliorée par les aspects suivants:
Incorporer d'autres indicateurs tels que KDJ, Bollinger Bands, etc. pour confirmer les signaux et filtrer les faux signaux
Améliorer le mécanisme d'entrée, par exemple ajouter un filtre de rupture pour éviter les entrées prématurées ou tardives
Ajouter un stop loss pour contrôler les pertes de transaction unique
Élargir à d'autres produits comme le forex, crypto-monnaies etc
/*backtest start: 2023-01-16 00:00:00 end: 2024-01-22 00:00:00 period: 1d basePeriod: 1h 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/ // © DeMindSET //@version=4 strategy("MACD Trend Follow Strategy", overlay=false) // Getting inputs LSB = input(title="Long/Short", defval="Long only", options=["Long only", "Short only" , "Both"]) fast_length = input(title="Fast Length", type=input.integer, defval=12) slow_length = input(title="Slow Length", type=input.integer, defval=26) src = input(title="Source", type=input.source, defval=close) signal_length = input(title="Signal Smoothing", type=input.integer, minval = 1, maxval = 50, defval = 9) sma_source = input(title="Simple MA(Oscillator)", type=input.bool, defval=false) sma_signal = input(title="Simple MA(Signal Line)", type=input.bool, defval=false) // Plot colors col_grow_above = #26A69A col_grow_below = #FFCDD2 col_fall_above = #B2DFDB col_fall_below = #EF5350 col_macd = #0094ff col_signal = #ff6a00 // Calculating fast_ma = sma_source ? sma(src, fast_length) : ema(src, fast_length) slow_ma = sma_source ? sma(src, slow_length) : ema(src, slow_length) macd = fast_ma - slow_ma signal = sma_signal ? sma(macd, signal_length) : ema(macd, signal_length) hist = macd - signal plot(hist, title="Histogram", style=plot.style_columns, color=(hist>=0 ? (hist[1] < hist ? col_grow_above : col_fall_above) : (hist[1] < hist ? col_grow_below : col_fall_below) ), transp=0 ) plot(macd, title="MACD", color=col_macd, transp=0) plot(signal, title="Signal", color=col_signal, transp=0) // Bull= macd > signal Bear= macd < signal ConBull=macd>0 ConBear=macd<0 // Green= Bull and ConBull Red= Bear and ConBear Yellow= Bull and ConBear Blue= Bear and ConBull // bcolor = Green ? color.green : Red ? color.red : Yellow ? color.yellow : Blue ? color.blue : na barcolor(color=bcolor) // === INPUT BACKTEST RANGE === FromYear = input(defval = 2019, title = "From Year", minval = 1920) FromMonth = input(defval = 1, title = "From Month", minval = 1, maxval = 12) FromDay = input(defval = 1, title = "From Day", minval = 1, maxval = 31) ToYear = input(defval = 9999, title = "To Year", minval = 2009) ToMonth = input(defval = 12, title = "To Month", minval = 1, maxval = 12) ToDay = input(defval = 31, title = "To Day", minval = 1, maxval = 31) // === FUNCTION EXAMPLE === start = timestamp(FromYear, FromMonth, FromDay, 00, 00) // backtest start window finish = timestamp(ToYear, ToMonth, ToDay, 23, 59) // backtest finish window window() => true // create function "within window of time" if LSB == "Long only" and Green strategy.entry("L",true) if LSB == "Long only" and Red strategy.close("L",qty_percent=100,comment="TP Long") if LSB == "Both" and Green strategy.entry("L",true) if LSB == "Both" and Red strategy.entry("S",false) if LSB == "Short only" and Red strategy.entry("S",false) if LSB == "Short only" and Green strategy.close("S",qty_percent=100,comment="TP Short")