ChaoZhang
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Überblick
Eine Multi-Level-Balancing-Handelsstrategie ist ein komplexes Handelssystem, das mehrere technische Indikatoren und Preisniveaus kombiniert. Die Strategie nutzt Indikatoren wie MACD, RSI, EMA und Bollinger Bands, kombiniert mit Fibonacci-Rückzugsebenen, um verschiedene Handelsstrategien in verschiedenen Preissegmenten zu verwenden, um einen mehrstufigen Balance-Handel zu erreichen. Die Kernidee der Strategie ist es, die Genauigkeit des Handels durch mehrfache Bestätigung zu erhöhen und gleichzeitig die Kapitalverwaltung durch schrittweise Verlagerung zu optimieren.
Strategieprinzip
Die Kernprinzipien der Strategie sind:
- Die MACD, RSI und EMA werden verwendet, um Markttrends und -dynamik zu bestimmen.
- Die Brin-Band und die Fibonacci-Rückzugsebene werden verwendet, um wichtige Unterstützungs- und Widerstandspunkte zu erkennen.
- Es werden mehrere Eintrittspunkte für den Handel auf verschiedenen Preisniveaus eingerichtet, um den stufenweisen Aufbau von Positionen zu ermöglichen.
- Risikomanagement durch Einstellung verschiedener Stop-Loss- und Stop-Loss-Levels.
- Die Heiken Achievement Graphik wurde verwendet, um zusätzliche Informationen über die Marktstruktur zu liefern.
Die Strategie analysiert diese Faktoren zusammen und verfolgt entsprechende Handelsbewegungen unter verschiedenen Marktbedingungen, um stabile Erträge zu erzielen.
Strategische Vorteile
- Mehrfachbestätigung: Die Zuverlässigkeit von Handelssignalen wird durch die Kombination mehrerer technischer Indikatoren erhöht.
- Flexible Vermögensverwaltung: Durch schrittweise Verlagerung können Risiken besser kontrolliert und die Vermögensnutzung optimiert werden.
- Anpassungsfähigkeit: Die Strategie kann das Handeln an unterschiedliche Marktbedingungen anpassen.
- Umfassendes Risikomanagement: Es gibt mehrere Stufen von Stop-Loss- und Stop-Stop-Mechanismen, um das Risiko effektiv zu kontrollieren.
- Hohe Automatisierungsstufe: Die Umsetzung der Strategie kann vollständig automatisiert und ohne menschliche Intervention erfolgen.
Strategisches Risiko
- Übertriebenheit: Die Strategie kann zu häufigen Transaktionen führen, die die Transaktionskosten erhöhen, da mehrere Transaktionsstufen eingerichtet sind.
- Parameter-Sensitivität: Die Strategie verwendet mehrere Indikatoren und Parameter, die sorgfältig angepasst werden müssen, um den unterschiedlichen Marktbedingungen gerecht zu werden.
- Rücktrittsrisiko: In einem stark schwankenden Markt kann ein größeres Rücktrittsrisiko auftreten.
- Technologieabhängigkeit: Die Strategie ist stark von technischen Indikatoren abhängig und kann unter bestimmten Marktbedingungen nicht wirksam sein.
- Risikomanagement: Eine schrittweise Verlagerung kann zu einer Überbelichtung führen.
Richtung der Strategieoptimierung
- Dynamische Parameter-Anpassung: Einführung von Machine-Learning-Algorithmen, die die Strategieparameter automatisch an die Marktlage anpassen.
- Market Sentiment Analysis: Integration von Market Sentiment Indikatoren wie dem VIX Index, um die Adaptabilität der Strategie zu verbessern.
- Multi-Time-Frame-Analyse: Einführung von Multi-Time-Frame-Analysen zur Erhöhung der Zuverlässigkeit von Handelssignalen.
- Volatilitätsanpassung: Die Handelsmenge und die Stop-Loss-Ebene werden an die dynamischen Marktschwankungen angepasst.
- Optimierung der Transaktionskosten: Einführung von Transaktionskostenmodellen zur Optimierung der Transaktionsfrequenz und -größe.
Zusammenfassen
Die Multi-Level-Balance-Quantifizierung-Handelsstrategie ist ein umfassendes, robustes und anpassungsfähiges Handelssystem. Durch die Kombination mehrerer technischer Indikatoren und Preisniveaus ist die Strategie in der Lage, in verschiedenen Marktumgebungen stabil zu bleiben. Obwohl einige Risiken bestehen, können diese durch kontinuierliche Optimierung und Anpassung wirksam kontrolliert werden.
Strategiequellcode
/*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)