Trendfolgende Strategie für gleitenden Stopp und gleitenden Durchschnitt
Erstellungsdatum:
2023-10-10 10:36:16
zuletzt geändert:
2023-10-10 10:36:16
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Überblick
Die Strategie nutzt eine Kombination aus Bewegenden Durchschnitten und relativ starken Indikatoren, um die Richtung des Trends zu bestimmen, in Kombination mit einem Trend-Tracking-Stop-Loss-Mechanismus, um die Gewinnziele zu erreichen. Die Strategie ist für hochvolatile Märkte geeignet, um schnell in den Markt zu gelangen, nachdem ein Trend entstanden ist, und um die Gewinne durch Stopps und Stopps zu sichern.
Strategieprinzip
Die Strategie verwendet den RSI-Indikator, um die Richtung der aktuellen Markttrends zu bestimmen. Ein RSI unter 30 wird als “bullish” und ein RSI über 70 als “bullish” angesehen. Kaufen Sie eine Position, wenn der RSI-Indikator ein Gold-Fork-Bullish-Signal erzeugt, und verkaufen Sie eine Position, wenn ein Dead-Fork-Bullish-Signal erzeugt wird.
Die Strategie benutzt nach der Eröffnung der Position einen beweglichen Stop-Loss-Mechanismus, um die Preisentwicklung zu verfolgen, um Gewinne zu sichern. Insbesondere zeichnet die Strategie den durchschnittlichen Einstiegspreis für jede Eröffnung der Position auf und startet den beweglichen Stop-Loss-Mechanismus, wenn der Preis 1% des Einstiegspreises erreicht.
Stoppen Sie den Ausgang, wenn der Preis die Stop-Loss-Linie erreicht; Stoppen Sie den Ausgang, wenn der Preis 3% des Eintrittspreises erreicht. So erreichen Sie Ihr Gewinnziel durch eine mobile Stop-Loss- und Stop-Loss-Doppelversicherung.
Strategische Vorteile
- Der RSI-Indikator ist ein Trendmechanismus, mit dem man schnell die Entwicklung des Marktes erkennen kann.
- Der mobile Stop-Mechanismus ermöglicht die flexible Anpassung der Stop-Position an die Echtzeit-Preisschwankungen und verhindert eine vorzeitige Stop-Position.
- Stop-Loss- und Stop-Stop-Doppelsicherung, die Risiken unter der Voraussetzung einer Gewinngarantie steuert
Risikoanalyse
- RSI-Fehler könnten zu unnötigen Positionen führen
- Eine zu kleine Stop-Distance kann zu einer Stop-Distance-Aktivierung führen, eine zu große Stop-Distance kann zu keiner Stop-Distance führen.
- Die falsche Einstellung des Stop-Losses kann auch dazu führen, dass die Gewinnziele nicht erreicht werden.
Die Fehlsignale können reduziert werden, indem die RSI-Parameter angepasst oder andere Indikatoren hinzugefügt werden. Gleichzeitig werden die Stop-Loss- und Stop-Stop-Parameter optimiert und die optimale Kombination von Parametern in Verbindung mit der Rückmeldung gefunden.
Optimierungsrichtung
- Ein Brin-Band- oder KD-Indikator kann versucht werden, um Trendsignale zu bestätigen und falsche Positionen zu reduzieren.
- Additions und Multiplikationen können erforscht werden, um die Inheritance zu erweitern
- Versuchen Sie, mehrere Zeitspannen zu bestätigen, um einen Fehler in einer einzigen Zeitspanne zu vermeiden.
- Es kann untersucht werden, ob ein Anpassungs-Stop-Mechanismus hinzugefügt werden kann, der die Stop-Distance an die Marktschwankungen anpasst.
Zusammenfassen
Die Strategie insgesamt ist eine sehr professionelle und zuverlässige Trend-Tracking-Strategie, die die Richtung des Marktes schnell beurteilen kann und die Gewinne durch die Bewegung von Stop-Loss- und Stop-Stopps sperrt. Durch die weitere Optimierung der Indikatorparameter und die Hinzufügung anderer Hilfsindikatoren für die Beurteilung kann die Strategie die Gewinnrate und die Zuverlässigkeit weiter verbessern. Die Strategie ist klar konzipiert und die Parameter sind flexibel einzustellen.
Strategiequellcode
/*backtest
start: 2022-10-03 00:00:00
end: 2023-10-09 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=3
// Learn more about Autoview and how you can automate strategies like this one here: https://autoview.with.pink/
// strategy("Autoview Build-a-bot - 1m chart", "Strategy", overlay=true, pyramiding=2000, default_qty_value=10000)
// study("Autoview Build-a-bot", "Alerts")
///////////////////////////////////////////////
//* Backtesting Period Selector | Component *//
///////////////////////////////////////////////
//* https://www.tradingview.com/script/eCC1cvxQ-Backtesting-Period-Selector-Component *//
//* https://www.tradingview.com/u/pbergden/ *//
//* Modifications made *//
testStartYear = input(1, "Backtest Start Year")
testStartMonth = input(11, "Backtest Start Month")
testStartDay = input(10, "Backtest Start Day")
testPeriodStart = timestamp(testStartYear,testStartMonth,testStartDay,0,0)
testStopYear = input(77777777, "Backtest Stop Year")
testStopMonth = input(11, "Backtest Stop Month")
testStopDay = input(15, "Backtest Stop Day")
testPeriodStop = timestamp(testStopYear,testStopMonth,testStopDay,0,0)
testPeriod() => true
/////////////////////////////////////
//* Put your strategy logic below *//
/////////////////////////////////////
RSIlength = input(6,title="RSI Period Length")
price = close
vrsi = (rsi(price, RSIlength))
src = close
len = input(2, minval=1, title="Length")
up = rma(max(change(src), 0), len)
down = rma(-min(change(src), 0), len)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsin = input(14)
sn = 100 - rsin
ln = 0 + rsin
// Put your long and short rules here
longLocic = crossunder(rsi, ln)
shortLogic = crossover(rsi, sn)
//////////////////////////
//* Strategy Component *//
//////////////////////////
isLong = input(true, "Longs Only")
isShort = input(false, "Shorts Only")
isFlip = input(false, "Flip the Opens")
long = longLocic
short = shortLogic
if isFlip
long := shortLogic
short := longLocic
else
long := longLocic
short := shortLogic
if isLong
long := long
short := na
if isShort
long := na
short := short
////////////////////////////////
//======[ Signal Count ]======//
////////////////////////////////
sectionLongs = 0
sectionLongs := nz(sectionLongs[1])
sectionShorts = 0
sectionShorts := nz(sectionShorts[1])
if long
sectionLongs := sectionLongs + 1
sectionShorts := 0
if short
sectionLongs := 0
sectionShorts := sectionShorts + 1
//////////////////////////////
//======[ Pyramiding ]======//
//////////////////////////////
pyrl = input(2, "Pyramiding less than") // If your count is less than this number
pyre = input(1, "Pyramiding equal to") // If your count is equal to this number
pyrg = input(1000000, "Pyramiding greater than") // If your count is greater than this number
longCondition = long and sectionLongs <= pyrl or long and sectionLongs >= pyrg or long and sectionLongs == pyre ? 1 : 0 and vrsi < 20
shortCondition = short and sectionShorts <= pyrl or short and sectionShorts >= pyrg or short and sectionShorts == pyre ? 1 : 0
////////////////////////////////
//======[ Entry Prices ]======//
////////////////////////////////
last_open_longCondition = na
last_open_shortCondition = na
last_open_longCondition := longCondition ? close : nz(last_open_longCondition[1])
last_open_shortCondition := shortCondition ? close : nz(last_open_shortCondition[1])
////////////////////////////////////
//======[ Open Order Count ]======//
////////////////////////////////////
sectionLongConditions = 0
sectionLongConditions := nz(sectionLongConditions[1])
sectionShortConditions = 0
sectionShortConditions := nz(sectionShortConditions[1])
if longCondition
sectionLongConditions := sectionLongConditions + 1
sectionShortConditions := 0
if shortCondition
sectionLongConditions := 0
sectionShortConditions := sectionShortConditions + 1
///////////////////////////////////////////////
//======[ Position Check (long/short) ]======//
///////////////////////////////////////////////
last_longCondition = na
last_shortCondition = na
last_longCondition := longCondition ? time : nz(last_longCondition[1])
last_shortCondition := shortCondition ? time : nz(last_shortCondition[1])
in_longCondition = last_longCondition > last_shortCondition
in_shortCondition = last_shortCondition > last_longCondition
/////////////////////////////////////
//======[ Position Averages ]======//
/////////////////////////////////////
totalLongs = 0.0
totalLongs := nz(totalLongs[1])
totalShorts = 0.0
totalShorts := nz(totalShorts[1])
averageLongs = 0.0
averageLongs := nz(averageLongs[1])
averageShorts = 0.0
averageShorts := nz(averageShorts[1])
if longCondition
totalLongs := totalLongs + last_open_longCondition
totalShorts := 0.0
if shortCondition
totalLongs := 0.0
totalShorts := totalShorts + last_open_shortCondition
averageLongs := totalLongs / sectionLongConditions
averageShorts := totalShorts / sectionShortConditions
/////////////////////////////////
//======[ Trailing Stop ]======//
/////////////////////////////////
isTS = input(false, "Trailing Stop")
tsi = input(100, "Activate Trailing Stop Price (%). Divided by 100 (1 = 0.01%)") / 100
ts = input(100, "Trailing Stop (%). Divided by 100 (1 = 0.01%)") / 100
last_high = na
last_low = na
last_high_short = na
last_low_short = na
last_high := not in_longCondition ? na : in_longCondition and (na(last_high[1]) or high > nz(last_high[1])) ? high : nz(last_high[1])
last_high_short := not in_shortCondition ? na : in_shortCondition and (na(last_high[1]) or high > nz(last_high[1])) ? high : nz(last_high[1])
last_low := not in_shortCondition ? na : in_shortCondition and (na(last_low[1]) or low < nz(last_low[1])) ? low : nz(last_low[1])
last_low_short := not in_longCondition ? na : in_longCondition and (na(last_low[1]) or low < nz(last_low[1])) ? low : nz(last_low[1])
long_ts = isTS and not na(last_high) and low <= last_high - last_high / 100 * ts and longCondition == 0 and last_high >= averageLongs + averageLongs / 100 * tsi
short_ts = isTS and not na(last_low) and high >= last_low + last_low / 100 * ts and shortCondition == 0 and last_low <= averageShorts - averageShorts/ 100 * tsi
///////////////////////////////
//======[ Take Profit ]======//
///////////////////////////////
isTP = input(true, "Take Profit")
tp = input(33, "Take Profit (%). Divided by 100 (1 = 0.01%)") / 100
long_tp = isTP and close > averageLongs + averageLongs / 100 * tp and not longCondition
short_tp = isTP and close < averageShorts - averageShorts / 100 * tp and not shortCondition
/////////////////////////////
//======[ Stop Loss ]======//
/////////////////////////////
isSL = input(true, "Stop Loss")
sl = input(55, "Stop Loss (%). Divided by 100 (1 = 0.01%)") / 100
long_sl = isSL and close < averageLongs - averageLongs / 100 * sl and longCondition == 0
short_sl = isSL and close > averageShorts + averageShorts / 100 * sl and shortCondition == 0
/////////////////////////////////
//======[ Close Signals ]======//
/////////////////////////////////
longClose = long_tp or long_sl or long_ts ? 1 : 0
shortClose = short_tp or short_sl or short_ts ? 1: 0
///////////////////////////////
//======[ Plot Colors ]======//
///////////////////////////////
longCloseCol = na
shortCloseCol = na
longCloseCol := long_tp ? purple : long_sl ? maroon : long_ts ? blue : longCloseCol[1]
shortCloseCol := short_tp ? purple : short_sl ? maroon : short_ts ? blue : shortCloseCol[1]
tpColor = isTP and in_longCondition ? purple : isTP and in_shortCondition ? purple : white
slColor = isSL and in_longCondition ? red : isSL and in_shortCondition ? red : white
//////////////////////////////////
//======[ Strategy Plots ]======//
//////////////////////////////////
plot(isTS and in_longCondition ? averageLongs + averageLongs / 100 * tsi : na, "Long Trailing Activate", blue, style=3, linewidth=2)
plot(isTS and in_longCondition and last_high >= averageLongs + averageLongs / 100 * tsi ? last_high - last_high / 100 * ts : na, "Long Trailing", fuchsia, style=2, linewidth=3)
plot(isTS and in_shortCondition ? averageShorts - averageShorts/ 100 * tsi : na, "Short Trailing Activate", blue, style=3, linewidth=2)
plot(isTS and in_shortCondition and last_low <= averageShorts - averageShorts/ 100 * tsi ? last_low + last_low / 100 * ts : na, "Short Trailing", fuchsia, style=2, linewidth=3)
plot(isTP and in_longCondition and last_high < averageLongs + averageLongs / 100 * tp ? averageLongs + averageLongs / 100 * tp : na, "Long TP", tpColor, style=3, linewidth=2)
plot(isTP and in_shortCondition and last_low > averageShorts - averageShorts / 100 * tp ? averageShorts - averageShorts / 100 * tp : na, "Short TP", tpColor, style=3, linewidth=2)
plot(isSL and in_longCondition and last_low_short > averageLongs - averageLongs / 100 * sl ? averageLongs - averageLongs / 100 * sl : na, "Long SL", slColor, style=3, linewidth=2)
plot(isSL and in_shortCondition and last_high_short < averageShorts + averageShorts / 100 * sl ? averageShorts + averageShorts / 100 * sl : na, "Short SL", slColor, style=3, linewidth=2)
///////////////////////////////
//======[ Alert Plots ]======//
///////////////////////////////
// plot(longCondition, "Long", green)
// plot(shortCondition, "Short", red)
// plot(longClose, "Long Close", longCloseCol)
// plot(shortClose, "Short Close", shortCloseCol)
///////////////////////////////////
//======[ Reset Variables ]======//
///////////////////////////////////
if longClose or not in_longCondition
averageLongs := 0
totalLongs := 0.0
sectionLongs := 0
sectionLongConditions := 0
if shortClose or not in_shortCondition
averageShorts := 0
totalShorts := 0.0
sectionShorts := 0
sectionShortConditions := 0
////////////////////////////////////////////
//======[ Strategy Entry and Exits ]======//
////////////////////////////////////////////
if testPeriod()
strategy.entry("Long", 1, when=longCondition)
strategy.entry("Short", 0, when=shortCondition)
strategy.close("Long", when=longClose)
strategy.close("Short", when=shortClose)