Dieser Artikel beschreibt eine Trend-Trading-Strategie, die auf einem Preis-Break-Entritt basiert und auf einem Stop-Loss-Exit folgt. Die Strategie baut mehrere Positionen auf, indem sie die Höchststände durchbricht und die Schwankungen der Tiefstände nutzt, um die Stop-Loss-Positionen zu verfolgen.
Die wichtigsten Transaktionslogiken der Strategie lauten:
Die Verwendung von Vibrationsindikatoren zur Berechnung von Höchst- und Tiefpunkten;
Wenn der Preis den Höchststand überschreitet, wird ein Mehrfach-Eintritt durchgeführt.
Der jüngste schwankende Tiefpunkt als Radikalstop;
Wenn ein höherer schwankender Tiefpunkt auftritt, wird der Stop-Loss in die Position verschoben, um den Tracking-Stop zu ermöglichen.
Auf diese Weise kann es einen starken Trend erfassen, nachdem der Preis die Aufwärtsresistenz durchbrochen hat. Und die kontinuierliche Erhöhung des Stop-Loss-Punktes ermöglicht es, Gewinne zu sperren.
Die wichtigsten Vorteile dieser Strategie sind:
Durch den Einstieg in den Markt kann man die Ausgangspunkte der Trends genauer erfassen.
Dynamische Stop-Loss-Tracking ermöglicht maximale Gewinne und reduziert die Rückwürfe.
Die Schadensstoppposition hat eine gewisse Pufferzone, um zu verhindern, dass die Schadensstoppung durchbohrt wird.
Es kann auch ein einheitlicher Filter hinzugefügt werden, um Rückwärtsoperationen zu vermeiden.
Potenzielle Risiken
Aber diese Strategie birgt auch einige potenzielle Risiken:
Es ist möglich, dass ein Durchbruchsignal zurückbleibt, was dazu führt, dass die ersten Chancen für einen Trend verpasst werden.
Die Verletzungen sind zu radikal und können zu unnötigen Verletzungen führen.
Es gibt einen gewissen Druck, sich zurückzuziehen.
Vier Inhalte, Zusammenfassung
In diesem Artikel wird eine Trendstrategie vorgestellt, die auf Preis- und Stop-Loss-Breakthroughs basiert. Sie kann Trends effektiv verfolgen, um die Gewinne zu maximieren, aber auch die Risiken von Stopp-Loss-Breakthroughs zu vermeiden. Zusammenfassend bietet die Strategie eine einfache und intuitive Methode, um Trends zu verfolgen.
/*backtest
start: 2022-09-13 00:00:00
end: 2023-02-03 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
// Revision: 1
// Author: @millerrh
// Strategy: Enter long when recent swing high breaks out, using recent swing low as stop level. Move stops up as higher lows print to act
// as trailing stops. Ride trend as long as it is there and the higher lows aren't breached.
// Conditions/Variables
// 1. Can place a user-defined percentage below swing low and swing high to use as a buffer for your stop to help avoid stop hunts
// 2. Can add a filter to only take setups that are above a user-defined moving average (helps avoid trading counter trend)
// 3. Manually configure which dates to back test
// 4. Color background of backtested dates - allows for easier measuring buy & hold return of time periods that don't go up to current date
// === CALL STRATEGY/STUDY, PROGRAMATICALLY ENTER STRATEGY PARAMETERS HERE SO YOU DON'T HAVE TO CHANGE THEM EVERY TIME YOU RUN A TEST ===
// (STRATEGY ONLY) - Comment out srategy() when in a study()
strategy("Breakout Trend Follower", 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=0.1)
// (STUDY ONLY) - Comment out study() when in a strategy()
//study("Breakout Trend Follower", overlay=true)
// === 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
// A switch to control background coloring of the test period - Use for easy visualization of backtest range and manual calculation of
// buy and hold (via measurement) if doing prior periods since value in Strategy Tester extends to current date by default
testPeriodBackground = input(title="Color Background - Test Period?", type=input.bool, defval=false)
testPeriodBackgroundColor = testPeriodBackground and (time >= Start) and (time <= Finish) ? #00FF00 : na
bgcolor(testPeriodBackgroundColor, transp=95)
// == FILTERING ==
// Inputs
useMaFilter = input(title = "Use MA for Filtering?", type = input.bool, defval = true)
maType = input(defval="SMA", options=["EMA", "SMA"], title = "MA Type For Filtering")
maLength = input(defval = 50, 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
0
// === PLOT SWING HIGH/LOW AND MOST RECENT LOW TO USE AS STOP LOSS EXIT POINT ===
// Inputs
//pvtLenL = input(3, minval=1, title="Pivot Length Left Hand Side") //use if you want to change this to an input
//pvtLenR = input(3, minval=1, title="Pivot Length Right Hand Side") //use if you want to change this to an input
pvtLenL = 3
pvtLenR = 3
// Get High and Low Pivot Points
pvthi_ = pivothigh(high, pvtLenL, pvtLenR)
pvtlo_ = pivotlow(low, pvtLenL, pvtLenR)
// Force Pivot completion before plotting.
Shunt = 1 //Wait for close before printing pivot? 1 for true 0 for flase
maxLvlLen = 0 //Maximum Extension Length
pvthi = pvthi_[Shunt]
pvtlo = pvtlo_[Shunt]
// Count How many candles for current Pivot Level, If new reset.
counthi = barssince(not na(pvthi))
countlo = barssince(not na(pvtlo))
pvthis = fixnan(pvthi)
pvtlos = fixnan(pvtlo)
hipc = change(pvthis) != 0 ? na : color.maroon
lopc = change(pvtlos) != 0 ? na : color.green
// Display Pivot lines
plot((maxLvlLen == 0 or counthi < maxLvlLen) ? pvthis : na, color=hipc, transp=0, linewidth=1, offset=-pvtLenR-Shunt, title="Top Levels")
plot((maxLvlLen == 0 or countlo < maxLvlLen) ? pvtlos : na, color=lopc, transp=0, linewidth=1, offset=-pvtLenR-Shunt, title="Bottom Levels")
plot((maxLvlLen == 0 or counthi < maxLvlLen) ? pvthis : na, color=hipc, transp=0, linewidth=1, offset=0, title="Top Levels 2")
plot((maxLvlLen == 0 or countlo < maxLvlLen) ? pvtlos : na, color=lopc, transp=0, linewidth=1, offset=0, title="Bottom Levels 2")
// Stop Levels
stopBuff = input(0.0, minval=-2, title="Stop Loss Buffer off Swing Low (%)")
stopPerc = stopBuff*.01 // Turn stop buffer input into a percentage
stopLevel = valuewhen(pvtlo_, low[pvtLenR], 0) //Stop Level at Swing Low
stopLevel2 = stopLevel - stopLevel*stopPerc // Stop Level with user-defined buffer to avoid stop hunts and give breathing room
plot(stopLevel2, style=plot.style_line, color=color.orange, show_last=1, linewidth=1, transp=50, trackprice=true)
buyLevel = valuewhen(pvthi_, high[pvtLenR], 0) //Buy level at Swing High
buyLevel2 = buyLevel + buyLevel*stopPerc // Buy-stop level with user-defined buffer to avoid stop hunts and give breathing room
plot(buyLevel2, style=plot.style_line, color=color.blue, show_last=1, linewidth=1, transp=50, trackprice=true)
// Conditions for entry and exit
buySignal = high > buyLevel2
buy = buySignal and time > Start and time < Finish and buyLevel2 > maFilterCheck // All these conditions need to be met to buy
sellSignal = low < stopLevel2 // Code to act like a stop-loss for the Study
// (STRATEGY ONLY) Comment out for Study
strategy.entry("Long", strategy.long, stop = buyLevel2, when = buyLevel2 > maFilterCheck)
strategy.exit("Exit Long", from_entry = "Long", stop=stopLevel2)
// == (STUDY ONLY) Comment out for Strategy ==
// Check if in position or not
inPosition = bool(na)
inPosition := buy[1] ? true : sellSignal[1] ? false : inPosition[1]
flat = bool(na)
flat := not inPosition
buyStudy = buy and flat
sellStudy = sellSignal and inPosition
//Plot indicators on chart and set up alerts for Study
plotshape(buyStudy, style = shape.triangleup, location = location.belowbar, color = #1E90FF, text = "Buy")
plotshape(sellStudy, style = shape.triangledown, location = location.abovebar, color = #EE82EE, text = "Sell")
alertcondition(buyStudy, title='Trend Change Follower Buy', message='Trend Change Follower Buy')
// Color background when trade active (for easier visual on what charts are OK to enter on)
tradeBackground = input(title="Color Background for Trades?", type=input.bool, defval=true)
tradeBackgroundColor = tradeBackground and inPosition ? #00FF00 : na
bgcolor(tradeBackgroundColor, transp=95)
noTradeBackgroundColor = tradeBackground and flat ? #FF0000 : na
bgcolor(noTradeBackgroundColor, transp=90)