Die Strategie nutzt MACD-Indikatoren und das Kreuzungsprinzip der Ebenen, um Handelssignale zu erstellen. Der Vorteil besteht darin, dass die MACD-Parameter für die mehr- und leere Richtung optimiert werden können, um die Parameter für verschiedene Marktrichtungen optimal zu konfigurieren.
Wie man Risiken managt: 1. Vermeide es, mit anderen Indikatoren das Gesamtbild zu beurteilen. 2. Setzen Sie Signalverzögerung und Gleitparameter, um falsche Signale zu reduzieren. 3. Optimierungsparameter werden wiederholt getestet, um sie an die Geschwindigkeiten verschiedener Zyklen anzupassen. 4. Ein Stop-Loss-Stopp-Mechanismus eingerichtet, um Einzelverluste zu kontrollieren.
Die Strategie kann in folgenden Bereichen optimiert werden:
Verschiedene Kombinationen von Parametern für die Länge von schnellen und langsamen Linien werden getestet, um die besten Parameter für verschiedene Zyklusbereiche zu finden.
Durch das Testen verschiedener Signalleitungsparameter kann die Smoother-Signalleitung mehr Geräusche filtern.
Test die Unterschiede zwischen dem Öffnen und Schalten von Signal-Linien-Kreuzfiltern, um das optimale Gleichgewicht zu finden.
Die optimale Stopp-Loss-Stopp-Ratio wird auf der Grundlage der Rückversuche festgelegt.
Versuchen Sie, nur mehr oder nur nichts zu tun, um zu sehen, ob Sie die strategischen Effekte maximieren können.
Die MACD bietet eine optimale Optimierung der Handelsstrategie durch die Konfiguration von Multi- und Null-Parametern, die für verschiedene Marktrichtungen optimiert werden und die Teilnahmefreiheit ermöglichen. Gleichzeitig wird ein Signalfilter eingesetzt, um falsche Signale zu vermeiden. Strategieeffekte können durch Parameteroptimierung und Risikomanagement weiter verbessert werden.
/*backtest
start: 2023-01-15 00:00:00
end: 2024-01-21 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=5
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © Gentleman-Goat & TradingTools.Software/Optimizer
strategy(title="MACD Short/Long Strategy for TradingView Input Optimizer", shorttitle="MACD Short/Long TVIO", initial_capital=1000, default_qty_value=100, default_qty_type=strategy.percent_of_equity)
// Get Inputs Long
allow_long = input.bool(title="Allow Long", defval=true, group="inputs long")
fast_length_long = input.int(title="Fast Length Long", defval=13, group="inputs long")
slow_length_long = input.int(title="Slow Length Long", defval=19, group="inputs long")
src_long = input.source(title="Source Long", defval=close, group="inputs long")
signal_length_long = input.int(title="Signal Smoothing Long", minval = 1, maxval = 50, defval = 9, group="inputs long")
sma_source_long = input.string(title="Oscillator MA Type Long", defval="EMA", options=["SMA", "EMA"], group="inputs long")
sma_signal_long = input.string(title="Signal Line MA Type Long", defval="EMA", options=["SMA", "EMA"], group="inputs long")
cross_point_long = input.int(title="Cross Point Long", defval=0, group="inputs long")
cross_delay_macd_long = input.int(title="MacD Cross Delay Long", defval=0, group="inputs long")
signal_must_cross_long = input.bool(title="Signal Must Also Cross Long", defval=false, group="inputs long")
cross_delay_signal_long = input.int(title="Signal Cross Delay Long", defval=0, group="inputs long")
//Get Inputs Short
allow_short = input.bool(title="Allow Short", defval=true, group="inputs short")
fast_length_short = input.int(title="Fast Length Short", defval=11, group="inputs short")
slow_length_short = input.int(title="Slow Length Short", defval=20, group="inputs short")
src_short = input.source(title="Source Short", defval=close, group="inputs short")
signal_length_short = input.int(title="Signal Smoothing Short", minval = 1, maxval = 50, defval = 9, group="inputs short")
sma_source_short = input.string(title="Oscillator MA Type Short", defval="EMA", options=["SMA", "EMA"], group="inputs short")
sma_signal_short = input.string(title="Signal Line MA Type Short", defval="EMA", options=["SMA", "EMA"], group="inputs short")
cross_point_short = input.int(title="Cross Point Short", defval=0, group="inputs short")
cross_delay_macd_short = input.int(title="MacD Cross Delay Short", defval=1, group="inputs short")
signal_must_cross_short = input.bool(title="Signal Must Also Cross Short", defval=false, group="inputs short")
cross_delay_signal_short = input.int(title="Signal Cross Delay Short", defval=0, group="inputs short")
use_stop_loss_long = input.bool(defval=false,title="Use Stop Loss Long", group="Stop/Profit Long")
stop_loss_long_percentage = input.float(defval=1,title="Stop Loss % Long",minval=0.0,step=0.1, group="Stop/Profit Long") * .01
use_take_profit_long = input.bool(defval=false,title="Use Take Profit Long", group="Stop/Profit Long")
take_profit_long_percentage = input.float(defval=1,title="Take Profit % Long",minval=0.0,step=0.1, group="Stop/Profit Long") * .01
use_stop_loss_short = input.bool(defval=true,title="Use Stop Loss Short", group="Stop/Profit Short")
stop_loss_short_percentage = input.float(defval=21,title="Stop Loss % Short",minval=0.0,step=0.1, group="Stop/Profit Short") * .01
use_take_profit_short = input.bool(defval=true,title="Use Take Profit Short", group="Stop/Profit Short")
take_profit_short_percentage= input.float(defval=20,title="Take Profit % Short",minval=0.0,step=0.1, group="Stop/Profit Short") * .01
//------------------------------------------------------------------------------
// Plot colors Long
col_macd_long = input.color(#2962FF, "MACD Line Long", group="Color Settings", inline="MACD")
col_signal_long = input.color(#FF6D00, "Signal Line Long", group="Color Settings", inline="Signal")
col_grow_above_long = input.color(#26A69A, "Grow Above Long", group="Histogram Color Settings", inline="Above Long")
col_fall_above_long = input.color(#B2DFDB, "Fall Above Long", group="Histogram Color Settings", inline="Above Long")
col_grow_below_long = input.color(#FFCDD2, "Grow Below Long", group="Histogram Color Settings", inline="Below Long")
col_fall_below_long = input.color(#FF5252, "Fall Below Long", group="Histogram Color Settings", inline="Below Long")
// Plot colors Short
col_macd_short = input.color(#B03DFF, "MACD Line Short", group="Color Settings", inline="MACD")
col_signal_short = input.color(#00FFE8, "Signal Line Short", group="Color Settings", inline="Signal")
col_grow_above_short = input.color(#D95965, "Grow Above Short", group="Histogram Color Settings", inline="Above Short")
col_fall_above_short = input.color(#4D2024, "Fall Above Short", group="Histogram Color Settings", inline="Above Short")
col_grow_below_short = input.color(#00322D, "Grow Below Short", group="Histogram Color Settings", inline="Below Short")
col_fall_below_short = input.color(#00ADAD, "Fall Below Short", group="Histogram Color Settings", inline="Below Short")
// Calculate Long
fast_ma_long = sma_source_long == "SMA" ? ta.sma(src_long, fast_length_long) : ta.ema(src_long, fast_length_long)
slow_ma_long = sma_source_long == "SMA" ? ta.sma(src_long, slow_length_long) : ta.ema(src_long, slow_length_long)
macd_long = fast_ma_long - slow_ma_long
signal_long = sma_signal_long == "SMA" ? ta.sma(macd_long, signal_length_long) : ta.ema(macd_long, signal_length_long)
hist_long = macd_long - signal_long
// Calculate Short
fast_ma_short = sma_source_short == "SMA" ? ta.sma(src_short, fast_length_short) : ta.ema(src_short, fast_length_short)
slow_ma_short = sma_source_short == "SMA" ? ta.sma(src_short, slow_length_short) : ta.ema(src_short, slow_length_short)
macd_short = fast_ma_short - slow_ma_short
signal_short = sma_signal_short == "SMA" ? ta.sma(macd_short, signal_length_short) : ta.ema(macd_short, signal_length_short)
hist_short = macd_short - signal_short
//Plot Long
plot(hist_long, title="Histogram Long", style=plot.style_columns, color=(hist_long>=0 ? (hist_long[1] < hist_long ? col_grow_above_long : col_fall_above_long) : (hist_long[1] < hist_long ? col_grow_below_long : col_fall_below_long)))
plot(macd_long, title="MACD Long", color=col_macd_long)
plot(signal_long, title="Signal Long", color=col_signal_long)
//Plot Short
plot(hist_short, title="Histogram Short", style=plot.style_columns, color=(hist_short>=0 ? (hist_short[1] < hist_short ? col_grow_above_short : col_fall_above_short) : (hist_short[1] < hist_short ? col_grow_below_short : col_fall_below_short)))
plot(macd_short, title="MACD Short", color=col_macd_short)
plot(signal_short, title="Signal Short", color=col_signal_short)
var detectedLongCrossOver = false
var detectedShortCrossUnder = false
if(ta.crossunder(macd_short,cross_point_short))
detectedShortCrossUnder := true
if(ta.crossover(macd_short,cross_point_short))
detectedShortCrossUnder := false
if(ta.crossover(macd_long,cross_point_long))
detectedLongCrossOver := true
if(ta.crossunder(macd_long,cross_point_long))
detectedLongCrossOver := false
crossover_signal_long = ta.crossover(signal_long,cross_point_long)
crossunder_signal_long = ta.crossunder(signal_long,cross_point_long)
crossunder_signal_short = ta.crossunder(signal_short,cross_point_short)
crossover_signal_short = ta.crossover(signal_short,cross_point_short)
crossover_macd_long = ta.crossover(macd_long,cross_point_long)
crossunder_macd_long = ta.crossunder(macd_long,cross_point_long)
crossunder_macd_short = ta.crossunder(macd_short,cross_point_short)
crossover_macd_short = ta.crossover(macd_short,cross_point_short)
inEntry = false
//Strategy Entries
if (strategy.equity > 0) //This is required for the input optimizer to work since it will fail if the strategy fails to succeed by not having enough equity.
if (strategy.position_size <= 0 and allow_long==true and inEntry==false)
if(signal_must_cross_long==true)
longSignalCondition = detectedLongCrossOver==true and crossover_signal_long[cross_delay_signal_long]
strategy.entry(id="long", direction=strategy.long, when=longSignalCondition)
if(longSignalCondition)
inEntry:=true
else
longMacDCondition = crossover_macd_long[cross_delay_macd_long]
strategy.entry(id="long", direction=strategy.long, when=longMacDCondition)
if(longMacDCondition)
inEntry:=true
if (strategy.position_size >= 0 and allow_short==true and inEntry==false)
if(signal_must_cross_short==true)
shortSignalCondition = detectedShortCrossUnder and crossunder_signal_short[cross_delay_signal_short]
strategy.entry(id="short", direction=strategy.short, when=shortSignalCondition)
if(shortSignalCondition)
inEntry:=true
else
shortMacDCondition = crossunder_macd_short[cross_delay_macd_short]
strategy.entry(id="short", direction=strategy.short, when=shortMacDCondition)
if(shortMacDCondition)
inEntry:=true
if(strategy.position_size > 0 and allow_long==true and allow_short==false)
if(signal_must_cross_long==true)
strategy.close(id="long", when=detectedLongCrossOver==false and crossunder_signal_long)
else
strategy.close(id="long", when=crossunder_macd_long)
if(strategy.position_size < 0 and allow_short==true and allow_long==false)
if(signal_must_cross_short==true)
strategy.close(id="short", when=detectedShortCrossUnder==false and crossover_signal_short)
else
strategy.close(id="short", when=crossover_macd_short)
stop_loss_value_long = strategy.position_avg_price*(1 - stop_loss_long_percentage)
take_profit_value_long = strategy.position_avg_price*(1 + take_profit_long_percentage)
stop_loss_value_short = strategy.position_avg_price*(1 + stop_loss_short_percentage)
take_profit_value_short = strategy.position_avg_price*(1 - take_profit_short_percentage)
if(strategy.position_size>0) //Long positions only
strategy.exit(id="TP/SL Long",from_entry="long", limit=use_take_profit_long ? take_profit_value_long : na, stop=use_stop_loss_long ? stop_loss_value_long : na)
if(strategy.position_size<0) //Short positions only
strategy.exit(id="TP/SL Short",from_entry="short", limit=use_take_profit_short ? take_profit_value_short : na, stop=use_stop_loss_short ? stop_loss_value_short : na)