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Multilevel-Strategie zur Quantifizierung von ausgewogenen Transaktionen

Schriftsteller:ChaoZhang, Datum: 14.10.2024
Tags:MACDRSIEMA

多级平衡量化交易策略

Übersicht

Die Multi-Level-Balance-Quantified-Trading-Strategie ist ein komplexes Handelssystem, das mehrere technische Indikatoren und Preisniveaus kombiniert. Die Strategie nutzt Indikatoren wie MACD, RSI, EMA und Brin-Band in Kombination mit Fibonacci-Rücktrittsniveaus, um verschiedene Handelsstrategien in verschiedenen Preisbereichen zu nutzen, um ein mehrschichtiges Balance-Trading zu erreichen. Die Kernidee der Strategie ist es, die Genauigkeit der Transaktionen durch mehrere Bestätigungen zu erhöhen und gleichzeitig die Geldverwaltung durch schrittweise Aufstockung zu optimieren.

Die Strategie

Die Kernprinzipien der Strategie umfassen folgende Aspekte: 1. Verwenden Sie MACD, RSI und EMA, um Markttrends und -dynamik zu bestimmen. 2. Nutzen Sie die Brennbänder und die Fibonacci-Rücktrittsstufen, um die wichtigsten Unterstützungs- und Widerstandspunkte zu identifizieren. 3. Es werden mehrere Eingangspunkte für den Handel auf verschiedenen Preisniveaus eingerichtet, um eine schrittweise Lagerbildung zu erreichen. 4. Risikomanagement durch unterschiedliche Stopp- und Verlustniveaus; 5. Verwenden Sie die Häcken-Achille-Diagramme, um zusätzliche Marktstrukturinformationen zu erhalten.

Die Strategie besteht darin, diese Faktoren zu analysieren und entsprechende Handelsverhaltensweisen unter verschiedenen Marktbedingungen zu ergreifen, um stabile Erträge zu erzielen.

Strategische Vorteile

  1. Mehrfach-Bestätigung: Die Zuverlässigkeit des Handelssignals wird durch die Kombination mehrerer technischer Indikatoren verbessert.
  2. Flexible Finanzverwaltung: Durch die schrittweise Aufstockung des Kapitals können Risiken besser kontrolliert und die Kapitalnutzung optimiert werden.
  3. Anpassungsfähigkeit: Die Strategie kann das Handelsverhalten an unterschiedliche Marktbedingungen anpassen.
  4. Umfassendes Risikomanagement: Es gibt mehrschichtige Stop-Loss- und Stop-Fall-Mechanismen, um Risiken effektiv zu kontrollieren.
  5. Hohe Automatisierung: Strategien können vollständig automatisiert durchgeführt werden, wodurch menschliche Interventionen reduziert werden.

Strategische Risiken

  1. Überhandelungen: Da die Strategie mehrere Handelsebenen festlegt, kann dies zu häufigen Transaktionen führen und die Transaktionskosten erhöhen.
  2. Parameterempfindlichkeit: Die Strategie verwendet mehrere Indikatoren und Parameter und muss sorgfältig angepasst werden, um sich an die unterschiedlichen Marktumgebungen anzupassen.
  3. Rückziehungsrisiko: In stark schwankenden Märkten kann ein größeres Rückziehungsrisiko bestehen.
  4. Technologienabhängigkeit: Strategien, die stark auf technische Indikatoren angewiesen sind und unter bestimmten Marktbedingungen fehlschlagen können.
  5. Risiken bei der Verwaltung von Geldern: Eine schrittweise Vermarktung kann in einigen Fällen zu einer übermäßigen Exposition führen.

Strategische Optimierung

  1. Dynamische Parameteranpassung: Einführung von Machine-Learning-Algorithmen, die die Strategieparameter automatisch an die Marktbedingungen anpassen.
  2. Marktstimmungsanalyse: Integration von Marktstimmungskennzahlen wie dem VIX Index, um die Anpassungsfähigkeit der Strategie zu verbessern.
  3. Multi-Zeitrahmen-Analyse: Einführung von Multi-Zeitrahmen-Analyse, um die Zuverlässigkeit der Handelssignale zu verbessern.
  4. Volatilitätsanpassung: Dynamische Anpassung des Handelsvolumens und des Stop-Loss-Niveaus entsprechend der Marktfluktuation.
  5. Optimierung der Transaktionskosten: Einführung von Transaktionskostenmodellen, Optimierung der Frequenz und des Umfangs von Transaktionen.

Zusammenfassung

Die Multi-Level-Balanced-Quantified-Trading-Strategie ist ein umfassendes, starkes und anpassungsfähiges Handelssystem. Durch die Kombination mehrerer Technik-Indikatoren und Preis-Levels ist die Strategie in der Lage, in verschiedenen Marktumgebungen stabil zu bleiben. Obwohl einige Risiken bestehen, können diese Risiken durch kontinuierliche Optimierung und Anpassung effektiv kontrolliert werden.

/*backtest
start: 2019-12-23 08:00:00
end: 2024-10-12 08:00:00
period: 1d
basePeriod: 1d
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5
strategy(title='Incremental Order size +', shorttitle='TradingPost', overlay=true, default_qty_value=1, pyramiding=10)

//Heiken Ashi
isHA = input(false, 'HA Candles')

//MACD
fastLength = 12
slowlength = 26
MACDLength = 9

MACD = ta.ema(close, fastLength) - ta.ema(close, slowlength)
aMACD = ta.ema(MACD, MACDLength)
delta = MACD - aMACD

//Bollinger Bands Exponential
src = open
len = 18
e = ta.ema(src, len)
evar = (src - e) * (src - e)
evar2 = math.sum(evar, len) / len
std = math.sqrt(evar2)
Multiplier = input.float(3, minval=0.01, title='# of STDEV\'s')
upband = e + Multiplier * std
dnband = e - Multiplier * std

//EMA
ema3 = ta.ema(close, 3)

//RSIplot
length = 45
overSold = 90
overBought = 10
price = close

vrsi = ta.rsi(price, length)

notna = not na(vrsi)

macdlong = ta.crossover(delta, 0)
macdshort = ta.crossunder(delta, 0)
rsilong = notna and ta.crossover(vrsi, overSold)
rsishort = notna and ta.crossunder(vrsi, overBought)

lentt = input(14, 'Pivot Length')
    //The length defines how many periods a high or low must hold to be a "relevant pivot"

h = ta.highest(lentt)
    //The highest high over the length
h1 = ta.dev(h, lentt) ? na : h
    //h1 is a pivot of h if it holds for the full length
hpivot = fixnan(h1)
    //creates a series which is equal to the last pivot

l = ta.lowest(lentt)
l1 = ta.dev(l, lentt) ? na : l
lpivot = fixnan(l1)
    //repeated for lows

last_hpivot = 0.0
last_lpivot = 0.0
last_hpivot := h1 ? time : nz(last_hpivot[1])
last_lpivot := l1 ? time : nz(last_lpivot[1])

long_time = last_hpivot > last_lpivot ? 0 : 1

//FIBS

z = input(100, 'Z-Index')
p_offset = 2
transp = 60
a = (ta.lowest(z) + ta.highest(z)) / 2
b = ta.lowest(z)
c = ta.highest(z)
fibonacci = input(0, 'Fibonacci') / 100

//Fib Calls
fib0 = (hpivot - lpivot) * fibonacci + lpivot
fib1 = (hpivot - lpivot) * .21 + lpivot
fib2 = (hpivot - lpivot) * .3 + lpivot
fib3 = (hpivot - lpivot) * .5 + lpivot
fib4 = (hpivot - lpivot) * .62 + lpivot
fib5 = (hpivot - lpivot) * .7 + lpivot
fib6 = (hpivot - lpivot) * 1.00 + lpivot
fib7 = (hpivot - lpivot) * 1.27 + lpivot
fib8 = (hpivot - lpivot) * 2 + lpivot
fib9 = (hpivot - lpivot) * -.27 + lpivot
fib10 = (hpivot - lpivot) * -1 + lpivot

//Heiken Ashi Candles

heikenashi_1 = ticker.heikinashi(syminfo.tickerid)
data2 = isHA ? heikenashi_1 : syminfo.tickerid
res5 = input.timeframe('5', 'Resolution')

//HT Fibs

hfib0 = request.security(data2, res5, fib0[1])
hfib1 = request.security(data2, res5, fib1[1])
hfib2 = request.security(data2, res5, fib2[1])
hfib3 = request.security(data2, res5, fib3[1])
hfib4 = request.security(data2, res5, fib4[1])
hfib5 = request.security(data2, res5, fib5[1])
hfib6 = request.security(data2, res5, fib6[1])
hfib7 = request.security(data2, res5, fib7[1])
hfib8 = request.security(data2, res5, fib8[1])
hfib9 = request.security(data2, res5, fib9[1])
hfib10 = request.security(data2, res5, fib10[1])

vrsiup = vrsi > vrsi[1] and vrsi[1] > vrsi[2]
vrsidown = vrsi < vrsi[1] and vrsi[1] < vrsi[2]

long = ta.cross(close, fib0) and delta > 0 and vrsi < overSold and vrsiup
short = ta.cross(close, fib6) and delta < 0 and vrsi > overBought and vrsidown

 // long2 =  cross(close, fib0) and delta > 0 and vrsi < overSold and vrsiup 
 // short2 = cross(close, fib6) and delta < 0  and vrsi > overBought and vrsidown
// long =  cross(close, fib0) and delta > 0 and vrsi < overSold and vrsiup 
// short = cross(close, fib6) and delta < 0  and vrsi > overBought and vrsidown
// long =  cross(close, fib0) and delta > 0 and vrsi < overSold and vrsiup 
// short = cross(close, fib6) and delta < 0  and vrsi > overBought and vrsidown
// long =  cross(close, fib0) and delta > 0 and vrsi < overSold and vrsiup 
// short = cross(close, fib6) and delta < 0  and vrsi > overBought and vrsidown
// long =  cross(close, fib0) and delta > 0 and vrsi < overSold and vrsiup 
// short = cross(close, fib6) and delta < 0  and vrsi > overBought and vrsidown
// long =  cross(close, fib0) and delta > 0 and vrsi < overSold and vrsiup 
// short = cross(close, fib6) and delta < 0  and vrsi > overBought and vrsidown
// long =  cross(close, fib0) and delta > 0 and vrsi < overSold and vrsiup 
// short = cross(close, fib6) and delta < 0  and vrsi > overBought and vrsidown
// long =  cross(close, fib0) and delta > 0 and vrsi < overSold and vrsiup 
// short = cross(close, fib6) and delta < 0  and vrsi > overBought and vrsidown

reverseOpens = input(false, 'Reverse Orders')
if reverseOpens
    tmplong = long
    long := short
    short := tmplong
    short

//Strategy
ts = input(99999, 'TS')
tp = input(30, 'TP')
sl = input(15, 'SL')

last_long = 0.0
last_short = 0.0
last_long := long ? time : nz(last_long)
last_short := short ? time : nz(last_short)

in_long = last_long > last_short
in_short = last_short > last_long

long_signal = ta.crossover(last_long, last_short)
short_signal = ta.crossover(last_short, last_long)

last_open_long = 0.0
last_open_short = 0.0
last_open_long := long ? open : nz(last_open_long[1])
last_open_short := short ? open : nz(last_open_short[1])

last_open_long_signal = 0.0
last_open_short_signal = 0.0
last_open_long_signal := long_signal ? open : nz(last_open_long_signal[1])
last_open_short_signal := short_signal ? open : nz(last_open_short_signal[1])

last_high = 0.0
last_low = 0.0
last_high := not in_long ? na : in_long and (na(last_high[1]) or high > nz(last_high[1])) ? high : nz(last_high[1])
last_low := not in_short ? na : in_short and (na(last_low[1]) or low < nz(last_low[1])) ? low : nz(last_low[1])

long_ts = not na(last_high) and high <= last_high - ts and high >= last_open_long_signal
short_ts = not na(last_low) and low >= last_low + ts and low <= last_open_short_signal

long_tp = high >= last_open_long + tp and long[1] == 0
short_tp = low <= last_open_short - tp and short[1] == 0

long_sl = low <= last_open_long - sl and long[1] == 0
short_sl = high >= last_open_short + sl and short[1] == 0

last_hfib_long = 0.0
last_hfib_short = 0.0
last_hfib_long := long_signal ? fib1 : nz(last_hfib_long[1])
last_hfib_short := short_signal ? fib5 : nz(last_hfib_short[1])

last_fib7 = 0.0
last_fib10 = 0.0
last_fib7 := long ? fib7 : nz(last_fib7[1])
last_fib10 := long ? fib10 : nz(last_fib10[1])

last_fib8 = 0.0
last_fib9 = 0.0
last_fib8 := short ? fib8 : nz(last_fib8[1])
last_fib9 := short ? fib9 : nz(last_fib9[1])

last_long_signal = 0.0
last_short_signal = 0.0
last_long_signal := long_signal ? time : nz(last_long_signal[1])
last_short_signal := short_signal ? time : nz(last_short_signal[1])

last_long_tp = 0.0
last_short_tp = 0.0
last_long_tp := long_tp ? time : nz(last_long_tp[1])
last_short_tp := short_tp ? time : nz(last_short_tp[1])

last_long_ts = 0.0
last_short_ts = 0.0
last_long_ts := long_ts ? time : nz(last_long_ts[1])
last_short_ts := short_ts ? time : nz(last_short_ts[1])

long_ts_signal = ta.crossover(last_long_ts, last_long_signal)
short_ts_signal = ta.crossover(last_short_ts, last_short_signal)

last_long_sl = 0.0
last_short_sl = 0.0
last_long_sl := long_sl ? time : nz(last_long_sl[1])
last_short_sl := short_sl ? time : nz(last_short_sl[1])

long_tp_signal = ta.crossover(last_long_tp, last_long)
short_tp_signal = ta.crossover(last_short_tp, last_short)

long_sl_signal = ta.crossover(last_long_sl, last_long)
short_sl_signal = ta.crossover(last_short_sl, last_short)

last_long_tp_signal = 0.0
last_short_tp_signal = 0.0
last_long_tp_signal := long_tp_signal ? time : nz(last_long_tp_signal[1])
last_short_tp_signal := short_tp_signal ? time : nz(last_short_tp_signal[1])

last_long_sl_signal = 0.0
last_short_sl_signal = 0.0
last_long_sl_signal := long_sl_signal ? time : nz(last_long_sl_signal[1])
last_short_sl_signal := short_sl_signal ? time : nz(last_short_sl_signal[1])

last_long_ts_signal = 0.0
last_short_ts_signal = 0.0
last_long_ts_signal := long_ts_signal ? time : nz(last_long_ts_signal[1])
last_short_ts_signal := short_ts_signal ? time : nz(last_short_ts_signal[1])

true_long_signal = long_signal and last_long_sl_signal > last_long_signal[1] or long_signal and last_long_tp_signal > last_long_signal[1] or long_signal and last_long_ts_signal > last_long_signal[1]
true_short_signal = short_signal and last_short_sl_signal > last_short_signal[1] or short_signal and last_short_tp_signal > last_short_signal[1] or short_signal and last_short_ts_signal > last_short_signal[1]


// strategy.entry("BLUE", strategy.long, when=long)
// strategy.entry("RED", strategy.short, when=short)

g = delta > 0 and vrsi < overSold and vrsiup
r = delta < 0 and vrsi > overBought and vrsidown

long1 = ta.cross(close, fib1) and g and last_long_signal[1] > last_short_signal  // and last_long_signal > long
short1 = ta.cross(close, fib5) and r and last_short_signal[1] > last_long_signal  // and last_short_signal > short

last_long1 = 0.0
last_short1 = 0.0
last_long1 := long1 ? time : nz(last_long1[1])
last_short1 := short1 ? time : nz(last_short1[1])

last_open_long1 = 0.0
last_open_short1 = 0.0
last_open_long1 := long1 ? open : nz(last_open_long1[1])
last_open_short1 := short1 ? open : nz(last_open_short1[1])

long1_signal = ta.crossover(last_long1, last_long_signal)
short1_signal = ta.crossover(last_short1, last_short_signal)

last_long1_signal = 0.0
last_short1_signal = 0.0
last_long1_signal := long1_signal ? time : nz(last_long1_signal[1])
last_short1_signal := short1_signal ? time : nz(last_short1_signal[1])

long2 = ta.cross(close, fib2) and g and last_long1_signal > last_long_signal[1] and long1_signal == 0 and last_long_signal[1] > last_short_signal
short2 = ta.cross(close, fib4) and r and last_short1_signal > last_short_signal[1] and short1_signal == 0 and last_short_signal[1] > last_long_signal

last_long2 = 0.0
last_short2 = 0.0
last_long2 := long2 ? time : nz(last_long2[1])
last_short2 := short2 ? time : nz(last_short2[1])

last_open_short2 = 0.0
last_open_short2 := short2 ? open : nz(last_open_short2[1])

long2_signal = ta.crossover(last_long2, last_long1_signal) and long1_signal == 0
short2_signal = ta.crossover(last_short2, last_short1_signal) and short1_signal == 0

last_long2_signal = 0.0
last_short2_signal = 0.0
last_long2_signal := long2_signal ? time : nz(last_long2_signal[1])
last_short2_signal := short2_signal ? time : nz(last_short2_signal[1])

//Trade 4

long3 = ta.cross(close, fib3) and g and last_long1_signal > last_long_signal[1] and long1_signal == 0 and last_long_signal[1] > last_short_signal
short3 = ta.cross(close, fib3) and r and last_short1_signal > last_short_signal[1] and short1_signal == 0 and last_short_signal[1] > last_long_signal

last_long3 = 0.0
last_short3 = 0.0
last_long3 := long3 ? time : nz(last_long3[1])
last_short3 := short3 ? time : nz(last_short3[1])

last_open_short3 = 0.0
last_open_short3 := short3 ? open : nz(last_open_short3[1])

long3_signal = ta.crossover(last_long3, last_long2_signal) and long2_signal == 0
short3_signal = ta.crossover(last_short3, last_short2_signal) and short2_signal == 0

last_long3_signal = 0.0
last_short3_signal = 0.0
last_long3_signal := long3_signal ? time : nz(last_long3_signal[1])
last_short3_signal := short3_signal ? time : nz(last_short3_signal[1])


//Trade 5
long4 = long and last_long1_signal > last_long_signal[1] and long1_signal == 0 and last_long_signal[1] > last_short_signal
short4 = short and last_short1_signal > last_short_signal[1] and short1_signal == 0 and last_short_signal[1] > last_long_signal
last_long4 = 0.0
last_short4 = 0.0
last_long4 := long4 ? time : nz(last_long4[1])
last_short4 := short4 ? time : nz(last_short4[1])

long4_signal = ta.crossover(last_long4, last_long3_signal) and long2_signal == 0 and long3_signal == 0
short4_signal = ta.crossover(last_short4, last_short3_signal) and short2_signal == 0 and short3_signal == 0
last_long4_signal = 0.0
last_short4_signal = 0.0
last_long4_signal := long4_signal ? time : nz(last_long4_signal[1])
last_short4_signal := short4_signal ? time : nz(last_short4_signal[1])

//Trade 6
long5 = long and last_long1_signal > last_long_signal[1] and long1_signal == 0 and last_long_signal[1] > last_short_signal
short5 = short and last_short1_signal > last_short_signal[1] and short1_signal == 0 and last_short_signal[1] > last_long_signal

last_long5 = 0.0
last_short5 = 0.0
last_long5 := long5 ? time : nz(last_long5[1])
last_short5 := short5 ? time : nz(last_short5[1])

long5_signal = ta.crossover(last_long5, last_long4_signal) and long3_signal == 0 and long4_signal == 0
short5_signal = ta.crossover(last_short5, last_short4_signal) and short3_signal == 0 and short4_signal == 0

last_long5_signal = 0.0
last_short5_signal = 0.0
last_long5_signal := long5_signal ? time : nz(last_long5_signal[1])
last_short5_signal := short5_signal ? time : nz(last_short5_signal[1])

//Trade 7
long6 = long and last_long1_signal > last_long_signal[1] and long1_signal == 0 and last_long_signal[1] > last_short_signal
short6 = short and last_short1_signal > last_short_signal[1] and short1_signal == 0 and last_short_signal[1] > last_long_signal

last_long6 = 0.0
last_short6 = 0.0
last_long6 := long6 ? time : nz(last_long6[1])
last_short6 := short6 ? time : nz(last_short6[1])

long6_signal = ta.crossover(last_long6, last_long5_signal) and long2_signal == 0 and long4_signal == 0 and long5_signal == 0
short6_signal = ta.crossover(last_short6, last_short5_signal) and short2_signal == 0 and short4_signal == 0 and short5_signal == 0

last_long6_signal = 0.0
last_short6_signal = 0.0
last_long6_signal := long6_signal ? time : nz(last_long6_signal[1])
last_short6_signal := short6_signal ? time : nz(last_short6_signal[1])


//Trade 8
long7 = long and last_long1_signal > last_long_signal[1] and long1_signal == 0 and last_long_signal[1] > last_short_signal
short7 = short and last_short1_signal > last_short_signal[1] and short1_signal == 0 and last_short_signal[1] > last_long_signal

last_long7 = 0.0
last_short7 = 0.0
last_long7 := long7 ? time : nz(last_long7[1])
last_short7 := short7 ? time : nz(last_short7[1])

long7_signal = ta.crossover(last_long7, last_long6_signal) and long2_signal == 0 and long4_signal == 0 and long5_signal == 0 and long6_signal == 0
short7_signal = ta.crossover(last_short7, last_short6_signal) and short2_signal == 0 and short4_signal == 0 and short5_signal == 0 and short6_signal == 0

last_long7_signal = 0.0
last_short7_signal = 0.0
last_long7_signal := long7_signal ? time : nz(last_long7_signal[1])
last_short7_signal := short7_signal ? time : nz(last_short7_signal[1])


//Trade 9
long8 = long and last_long1_signal > last_long_signal[1] and long1_signal == 0 and last_long_signal[1] > last_short_signal
short8 = short and last_short1_signal > last_short_signal[1] and short1_signal == 0 and last_short_signal[1] > last_long_signal
last_long8 = 0.0
last_short8 = 0.0
last_long8 := long8 ? time : nz(last_long8[1])
last_short8 := short8 ? time : nz(last_short8[1])

long8_signal = ta.crossover(last_long8, last_long7_signal) and long2_signal == 0 and long4_signal == 0 and long5_signal == 0 and long6_signal == 0 and long7_signal == 0
short8_signal = ta.crossover(last_short8, last_short7_signal) and short2_signal == 0 and short4_signal == 0 and short5_signal == 0 and short6_signal == 0 and short7_signal == 0

last_long8_signal = 0.0
last_short8_signal = 0.0
last_long8_signal := long8_signal ? time : nz(last_long8_signal[1])
last_short8_signal := short8_signal ? time : nz(last_short8_signal[1])

//Trade 10
long9 = long and last_long1_signal > last_long_signal[1] and long1_signal == 0 and last_long_signal[1] > last_short_signal
short9 = short and last_short1_signal > last_short_signal[1] and short1_signal == 0 and last_short_signal[1] > last_long_signal
last_long9 = 0.0
last_short9 = 0.0
last_long9 := long9 ? time : nz(last_long9[1])
last_short9 := short9 ? time : nz(last_short9[1])

long9_signal = ta.crossover(last_long9, last_long8_signal) and long2_signal == 0 and long4_signal == 0 and long5_signal == 0 and long6_signal == 0 and long7_signal == 0 and long8_signal == 0
short9_signal = ta.crossover(last_short9, last_short8_signal) and short2_signal == 0 and short4_signal == 0 and short5_signal == 0 and short6_signal == 0 and short7_signal == 0 and short8_signal == 0
last_long9_signal = 0.0
last_short9_signal = 0.0
last_long9_signal := long9_signal ? time : nz(last_long9_signal[1])
last_short9_signal := short9_signal ? time : nz(last_short9_signal[1])


strategy.entry('Long', strategy.long, qty=1, when=long_signal)
strategy.entry('Short', strategy.short, qty=1, when=short_signal)
strategy.entry('Long', strategy.long, qty=2, when=long1_signal)
strategy.entry('Short1', strategy.short, qty=2, when=short1_signal)
strategy.entry('Long', strategy.long, qty=4, when=long2_signal)
strategy.entry('Short2', strategy.short, qty=4, when=short2_signal)
strategy.entry('Long', strategy.long, qty=8, when=long3_signal)
strategy.entry('Short3', strategy.short, qty=8, when=short3_signal)
strategy.entry('Long', strategy.long, qty=5, when=long4_signal)
strategy.entry('Short', strategy.short, qty=5, when=short4_signal)
strategy.entry('Long', strategy.long, qty=6, when=long5_signal)
strategy.entry('Short', strategy.short, qty=6, when=short5_signal)
strategy.entry('Long', strategy.long, qty=7, when=long6_signal)
strategy.entry('Short', strategy.short, qty=7, when=short6_signal)
strategy.entry('Long', strategy.long, qty=8, when=long7_signal)
strategy.entry('Short', strategy.short, qty=8, when=short7_signal)
strategy.entry('Long', strategy.long, qty=9, when=long8_signal)
strategy.entry('Short', strategy.short, qty=9, when=short8_signal)
strategy.entry('Long', strategy.long, qty=10, when=long9_signal)
strategy.entry('Short', strategy.short, qty=10, when=short9_signal)

short1_tp = low <= last_open_short1 - tp and short1[1] == 0
short2_tp = low <= last_open_short2 - tp and short2[1] == 0
short3_tp = low <= last_open_short3 - tp and short3[1] == 0
short1_sl = high >= last_open_short1 + sl and short1[1] == 0
short2_sl = high >= last_open_short2 + sl and short2[1] == 0
short3_sl = high >= last_open_short3 + sl and short3[1] == 0

close_long = ta.cross(close, fib6)
close_short = ta.cross(close, fib0)

// strategy.close("Long", when=close_long)
// strategy.close("Long", when=long_tp)
// strategy.close("Long", when=long_sl)

// strategy.close("Short", when=long_signal)
// strategy.close("Short1", when=long_signal)
// strategy.close("Short2", when=long_signal)
// strategy.close("Short3", when=long_signal)
strategy.close('Short', when=short_tp)
strategy.close('Short1', when=short1_tp)
strategy.close('Short2', when=short2_tp)
strategy.close('Short3', when=short3_tp)
strategy.close('Short', when=short_sl)
strategy.close('Short1', when=short1_sl)
strategy.close('Short2', when=short2_sl)
strategy.close('Short3', when=short3_sl)
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