RePaNoCHa रणनीति मात्रात्मक व्यापार के लिए कई संकेतकों और जोखिम प्रबंधन तकनीकों को एकीकृत करती है। यह मुख्य रूप से प्रवृत्ति की दिशा और संभावित उलट बिंदुओं की पहचान करके खरीद और बिक्री संकेत उत्पन्न करती है। रणनीति में लाभ में लॉक करने और जोखिमों को नियंत्रित करने के लिए ट्रेलिंग स्टॉप लॉस, फिक्स्ड स्टॉप लॉस और लाभ लेना भी शामिल है।
इस रणनीति में निम्नलिखित संकेतकों को शामिल किया गया हैः
T3 मूविंग एवरेजः मूल्य प्रवृत्ति को मापने के लिए।
औसत सीमा फ़िल्टर: मूल्य उतार-चढ़ाव क्षेत्रों की पहचान करने के लिए।
ADX: प्रवृत्ति की शक्ति निर्धारित करने के लिए।
एसएआर: संभावित उलट बिंदुओं को चिह्नित करने के लिए।
आरएसआईः ओवरबॉट/ओवरसोल्ड स्तरों की पहचान करने के लिए।
एमएसीडीः मूल्य गति प्रदर्शित करने के लिए।
जब संकेतक संरेखित संकेत देते हैं, तो रणनीति यह निर्धारित करती है कि एक प्रवृत्ति शुरू हो गई है और प्रवेश संकेत उत्पन्न करती है। प्रवेश करने के बाद, यह उच्चतम/सबसे कम मूल्य के प्रतिशत का पालन करने के लिए एक रैखिक ट्रेलिंग स्टॉप लॉस का उपयोग करता है, जो लाभ में वृद्धि के साथ धीरे-धीरे बढ़ता है। प्रति व्यापार अधिकतम नुकसान को सीमित करने के लिए निश्चित प्रतिशत स्टॉप लॉस का भी उपयोग किया जाता है।
विशेष रूप से, जब कीमत सीमा के ऊपरी बैंड से ऊपर होती है, तो टी 3 बढ़ रहा है, एडीएक्स तेजी से बढ़ रहा है, एसएआर तेजी से बढ़ रहा है, आरएसआई मध्य बिंदु से ऊपर है, एमएसीडी सकारात्मक है, लंबा संकेत उत्पन्न होता है। विपरीत स्थितियां लघु संकेत उत्पन्न करती हैं। लाभ और स्टॉप लॉस को प्रवेश मूल्य के 1% और 3% पर तय किया जाता है। ट्रेलिंग स्टॉप दूरी को प्रवेश मूल्य के सापेक्ष वर्तमान लाभ के आधार पर रैखिक रूप से निर्धारित किया जाता है।
कई संकेतक सटीकता में सुधार करते हैं रुझान, गति, उलट-फेर के संकेतकों का संयोजन एकल संकेतकों के फंदे से बचाता है।
लाभों में लचीला ट्रेलिंग स्टॉप लॉक
मूल्य उतार-चढ़ाव का बेहतर ढंग से पालन करने और लाभ सुनिश्चित करने के लिए ट्रेलिंग स्टॉप स्तर को बदलते मुनाफे के साथ समायोजित किया जाता है।
फिक्स्ड स्टॉप नियंत्रण अधिकतम हानि फिक्स्ड स्टॉप लॉस प्रतिशत प्रति ट्रेड अधिकतम हानि को सीमित करता है और हानि के विस्तार को रोकता है।
अनुकूलन योग्य पैरामीटर संकेतकों के मापदंडों को विभिन्न व्यापारिक उत्पादों में अनुकूलन के लिए स्वतंत्र रूप से समायोजित किया जा सकता है।
अधिक संकेतकों के साथ निर्णय लेने में अधिक कठिनाई बहुत अधिक संकेतकों से विरोधाभास हो सकता है और निर्णय लेने में कठिनाई बढ़ सकती है। संकेतकों की प्रभावशीलता का उचित मूल्यांकन करना आवश्यक है।
उच्च अस्थिरता के दौरान Whipsaw और स्टॉप लॉस ट्रिगर तेज अस्थिर चाल से विप्सॉ और लगातार स्टॉप लॉस ट्रिगर हो सकते हैं, जिससे लाभ लेने का कोई फायदा नहीं हो सकता है।
उच्च आवृत्ति से व्यापार लागत में वृद्धि अधिक अल्पकालिक संकेत व्यापार की आवृत्ति और फिसलने की लागत को बढ़ाते हैं, जिससे वास्तविक लाभप्रदता प्रभावित होती है।
कई मापदंडों के साथ कठिन अनुकूलन संकेतकों के विभिन्न पैरामीटर संयोजनों का परीक्षण अनुकूलन को चुनौतीपूर्ण बनाता है और पर्याप्त इतिहास की आवश्यकता होती है।
अपर्याप्तता से बचने के लिए वास्तविक संकेतक प्रभावों का मूल्यांकन करें प्रत्येक संकेतक के वास्तविक वृद्धिशील लाभों की जांच करने के लिए परीक्षण के परिणामों की तुलना करें और अतिरिक्त लाभों को हटा दें।
ट्रेलिंग स्टॉप एल्गोरिदम अनुकूलित करें
लाभ को ट्रेल करने के बेहतर तरीके खोजने के लिए विभिन्न ट्रैलिंग स्टॉप एल्गोरिदम का परीक्षण करें।
वास्तविक स्लिप और कमीशन का लेखा प्रवेश निर्णय लेने में सहायता के लिए बैकटेस्ट में वास्तविक व्यापार लागत को शामिल करें।
अस्थिरता के आधार पर अलग पैरामीटर अनुकूलन स्थिरता में सुधार के लिए उच्च/कम अस्थिरता वाले सत्रों के लिए पैरामीटर को अलग से अनुकूलित करें।
RePaNoCHa रणनीति कई संकेतकों और स्टॉप तंत्रों को एकीकृत करके अपेक्षाकृत स्थिर स्वचालित ट्रेडिंग निर्णयों और लाभ प्रबंधन को महसूस करती है। लेकिन इसकी उच्च ट्रेडिंग आवृत्ति और जटिल अनुकूलन प्रक्रिया में और सुधार की आवश्यकता है। इसके अपेक्षाकृत सक्रिय ट्रेडिंग दृष्टिकोण से सुसंगत दीर्घकालिक रिटर्न प्राप्त करने के लिए मॉडल को सरल बनाने और ओवरफिट जोखिमों को कम करने के लिए अधिक वास्तविक दुनिया के कारकों को बैकटेस्ट में पेश किया जाना चाहिए, और बेंचमार्क परीक्षण जैसी तकनीकों को अपनाया जाना चाहिए।
/*backtest
start: 2022-09-18 00:00:00
end: 2023-09-24 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
strategy(title = "RePaNoCHa V4 [Backtest]", overlay = true, initial_capital = 1000, pyramiding = 100,
calc_on_order_fills = false, calc_on_every_tick = false, default_qty_type = strategy.percent_of_equity, default_qty_value = 100, commission_value = 0.075)
//study(title="RePaNoCHa V4 [Alerts]", overlay=true)
//
// Copyright by XaviZ v1.0 26/07/2019
//
// Script for automatic trading with Alerts (Use Backtest to customize your own settings)
//
// LG --> Long (green:not confirmed) (lime: confirmed)
// ST --> Short (maroon: not confirmed) (red: confirmed)
// TS --> Trailing Stop
// xL --> Close Long Position
// xS --> Close Short Position
// SL --> Stop Loss
//
// The trailing stop closes the trade if the price changes direction by a specified percentage or offset.
// There is no ideal distance because markets and price are always changing and we know that is impossible to exit on the top or bottom.
// This script interpolate the trailing Stop Offset with profit, higher profit --> higher Trailing Stop Offset. Despite this, it's difficult to catch the price but not impossible.
// It has a TS delay too. It take a snapshot every X seconds, if the TS is activated the alert is triggered, otherwise the price keeps fluctuating until a new snapshot.
//
// Thanks...
//
// BTC: 3LEUP3WjQctdbFjBavcmRGUVRBje8bptCd
// ETH: 0x518AAD4746912ae506c82B747488306186c4d546
//
// INITIAL SETTINGS
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
Position = input("BOTH", "POSITIONS", options = ["BOTH","LONG","SHORT"])
src = input(hlc3, "SOURCE", type = input.source)
// T3
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
T3_len = input(3, "T3 LENGTH", minval = 2)
a1 = input(0.4, "T3 VOLUME FACTOR", step = 0.1, minval = 0.1)
T3(_src,_T3_len,_a1)=>
e1=ema(_src, _T3_len)
e2=ema(e1,_T3_len)
e3=ema(e2,_T3_len)
e4=ema(e3,_T3_len)
e5=ema(e4,_T3_len)
e6=ema(e5,_T3_len)
c1=-_a1*_a1*_a1
c2=3*_a1*_a1+3*_a1*_a1*_a1
c3=-6*_a1*_a1-3*_a1-3*_a1*_a1*_a1
c4=1+3*_a1+_a1*_a1*_a1+3*_a1*_a1
_T3=c1*e6+c2*e5+c3*e4+c4*e3
_T3
T3_Rising = T3(src,T3_len,a1) > T3(src,T3_len,a1)[1]
T3_Falling = T3(src,T3_len,a1) < T3(src,T3_len,a1)[1]
T3_color = T3_Rising ? color.green : T3_Falling ? color.red : color.yellow
plot(T3(src,T3_len,a1), color=T3_color, linewidth = 3, title= "T3")
// RANGE FILTER
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
per = input(defval=23, title="SAMPLING PERIOD", minval=1)
mult = input(defval=1.5, title="RANGE MULTIPLIER", minval=0.1, step = 0.1)
Range_filter(_src, _per, _mult)=>
var float _upward = 0.0
var float _downward = 0.0
wper = (_per*2) - 1
avrng = ema(abs(_src - _src[1]), _per)
_smoothrng = ema(avrng, wper)*_mult
_filt = _src
_filt := _src > nz(_filt[1]) ? ((_src-_smoothrng) < nz(_filt[1]) ? nz(_filt[1]) : (_src-_smoothrng)) : ((_src+_smoothrng) > nz(_filt[1]) ? nz(_filt[1]) : (_src+_smoothrng))
_upward := _filt > _filt[1] ? nz(_upward[1]) + 1 : _filt < _filt[1] ? 0 : nz(_upward[1])
_downward := _filt < _filt[1] ? nz(_downward[1]) + 1 : _filt > _filt[1] ? 0 : nz(_downward[1])
[_smoothrng,_filt,_upward,_downward]
[smoothrng, filt, upward, downward] = Range_filter(src, per, mult)
hband = filt + smoothrng
lband = filt - smoothrng
filtcolor = upward > 0 ? color.lime : downward > 0 ? color.red : color.orange
filtplot = plot(filt, color = filtcolor, linewidth = 3, title="Range Filter", editable = false)
hbandplot = plot(hband, color = color.aqua, transp = 60, title = "High Target", editable = false)
lbandplot = plot(lband, color = color.aqua, transp = 60, title = "Low Target", editable = false)
fill(hbandplot, filtplot, color = color.aqua, title = "High Target Range", editable = false)
fill(lbandplot, filtplot, color = color.aqua, title = "Low Target Range", editable = false)
// ADX MasaNakamura version
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
ADX_len = input(12, title="ADX LENGTH", type=input.integer, minval = 1)
th = input(8, title="ADX THRESHOLD", type=input.integer, minval = 0)
calcADX(_ADX_len)=>
var float SmoothedTrueRange = 0.0
var float SmoothedDirectionalMovementPlus = 0.0
var float SmoothedDirectionalMovementMinus = 0.0
TrueRange = max(max(high-low, abs(high-nz(close[1]))), abs(low-nz(close[1])))
DirectionalMovementPlus = high-nz(high[1]) > nz(low[1])-low ? max(high-nz(high[1]), 0): 0
DirectionalMovementMinus = nz(low[1])-low > high-nz(high[1]) ? max(nz(low[1])-low, 0): 0
SmoothedTrueRange := nz(SmoothedTrueRange[1]) - (nz(SmoothedTrueRange[1])/_ADX_len) + TrueRange
SmoothedDirectionalMovementPlus := nz(SmoothedDirectionalMovementPlus[1]) - (nz(SmoothedDirectionalMovementPlus[1])/_ADX_len) + DirectionalMovementPlus
SmoothedDirectionalMovementMinus := nz(SmoothedDirectionalMovementMinus[1]) - (nz(SmoothedDirectionalMovementMinus[1])/_ADX_len) + DirectionalMovementMinus
_DIPlus = SmoothedDirectionalMovementPlus / SmoothedTrueRange * 100
_DIMinus = SmoothedDirectionalMovementMinus / SmoothedTrueRange * 100
DX = abs(_DIPlus-_DIMinus) / (_DIPlus+_DIMinus)*100
_ADX = sma(DX, _ADX_len)
[_DIPlus,_DIMinus,_ADX]
[DIPlus, DIMinus, ADX] = calcADX(ADX_len)
macol = DIPlus > DIMinus and ADX > th ? color.lime : DIPlus < DIMinus and ADX > th ? color.red : color.orange
barcolor(color = macol, title = "ADX")
// SAR
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
Sst = input (0.07, "SAR STAR", step=0.01, minval = 0.01)
Sinc = input (0.05, "SAR INC", step=0.01, minval = 0.01)
Smax = input (0.15, "SAR MAX", step=0.05, minval = 0.01)
CalcSARwithoutSAR(_Sst, _Sinc, _Smax)=>
P = 1
EP = max(high, high[1])
_SAR = min(low, low[1])
AF = _Sst
EPnew = 0.0
AFnew = _Sst
if nz(P[1]) == 0
P := 1
else
if (P[1] == 1)
EPnew := max(high, EP[1])
else
EPnew := min(low, EP[1])
if EPnew != EP[1]
AFnew := min(_Smax, AF[1] + _Sinc)
else
AFnew := AF[1]
if nz(P[1]) == 0
P := 1
else
if P[1] == 1 and _SAR[1] + AF[1] * (EPnew - _SAR[1]) <= low
P := 1
_SAR := _SAR[1] + AFnew * (EPnew - _SAR[1])
EP := EPnew
AF := AFnew
else
if P[1] == 1 and _SAR[1] + AF[1] * (EPnew - _SAR[1]) > low
if low >= _SAR[1]
P := 1
_SAR := low
EP := EPnew
AF := AFnew
else
P := -1
_SAR := max(high, EP[1])
EP := min(low, low[1])
AF := _Sst
else
if P[1] == -1 and _SAR[1] - AF[1] * (_SAR[1] - EPnew) >= high
P := -1
_SAR := _SAR[1] - AFnew * (_SAR[1] - EPnew)
EP := EPnew
AF := AFnew
else
if P[1] == -1 and _SAR[1] - AF[1] * (_SAR[1] - EPnew) < high
if high <= _SAR[1]
P := -1
_SAR := high
EP := EPnew
AF := AFnew
else
P := 1
_SAR := min(low, EP[1])
EP := max(high, high[1])
AF := _Sst
_SAR
SAR = CalcSARwithoutSAR(Sst, Sinc, Smax)
plot(SAR, color = macol, style = plot.style_cross, title = "SAR")
// RSI
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
RSI_len = input(14, "RSI LENGHT", minval = 1)
RSI_obos = input(52,title="RSI CENTER LINE", type=input.integer, minval = 1)
RSI(len)=>
up_rsi = rma(max(change(close), 0), len)
down_rsi = rma(-min(change(close), 0), len)
rsi = down_rsi == 0 ? 100 : up_rsi == 0 ? 0 : 100 - (100 / (1 + up_rsi / down_rsi))
rsi
// MACD
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
fast_length = input(title="MACD FAST LENGTH", type=input.integer, minval = 1, defval=10)
slow_length = input(title="MACD SLOW LENGTH", type=input.integer, minval = 1, defval=19)
signal_length = input(title="MACD SIGNAL SMOOTHING", type=input.integer, minval = 1, maxval = 50, defval = 9)
sma_source = input(title="MACD SIMPLE MA(Oscillator)", type=input.bool, defval=false)
MACD(_src,_fast_length,_slow_length)=>
fast_ma = sma_source ? sma(_src, _fast_length) : ema(_src, _fast_length)
slow_ma = sma_source ? sma(_src, _slow_length) : ema(_src, _slow_length)
macd = fast_ma - slow_ma
signal = sma_source ? sma(macd, signal_length) : ema(macd, signal_length)
_hist = macd - signal
_hist
hist = MACD(src,fast_length,slow_length)
// STRATEGY
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
var bool longCond = na
var bool shortCond = na
longCond := (high > hband and upward > 0) and not (DIPlus < DIMinus and ADX > th) and (SAR < close) and (T3_Rising) and (RSI(RSI_len) > RSI_obos) and (hist > 0) and (timenow > time + 10000)
shortCond := (low < lband and downward > 0) and not (DIPlus > DIMinus and ADX > th) and (SAR > close) and (T3_Falling) and (RSI(RSI_len) < RSI_obos) and (hist < 0) and (timenow > time + 10000)
var bool XlongCond = na
var bool XshortCond = na
XlongCond := (low < hband and downward > 0) and (DIPlus > DIMinus and ADX > th) and (SAR > close) and (T3_Falling) and (timenow > time + 10000)
XshortCond := (high > lband and upward > 0) and (DIPlus < DIMinus and ADX > th) and (SAR < close) and (T3_Rising) and (timenow > time + 10000)
var int CondIni_long = 0
CondIni_long := longCond ? 1 : shortCond ? -1 : CondIni_long[1]
var int CondIni_short = 0
CondIni_short := longCond ? 1 : shortCond ? -1 : CondIni_short[1]
longCondition = (longCond and CondIni_long[1] == -1)
shortCondition = (shortCond and CondIni_short[1] == 1)
var int CondIniX = 0
CondIniX := XlongCond ? 1 : XshortCond ? -1 : CondIniX[1]
XlongCondition = XlongCond and CondIniX[1] == -1
XshortCondition = XshortCond and CondIniX[1] == 1
// Get the price of the last opened long or short
var float last_open_longCondition = na
var float last_open_shortCondition = na
last_open_longCondition := longCondition ? close : nz(last_open_longCondition[1])
last_open_shortCondition := shortCondition ? close : nz(last_open_shortCondition[1])
// Check if your last postion was a long or a short
var int last_longCondition = na
var int 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
var int last_XlongCondition = na
var int last_XshortCondition = na
last_XlongCondition := XlongCondition ? time : nz(last_XlongCondition[1])
last_XshortCondition := XshortCondition ? time : nz(last_XshortCondition[1])
in_longConditionX = last_longCondition > last_XlongCondition
in_shortConditionX = last_shortCondition > last_XshortCondition
// TRAILING STOP
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
isTSl = Position == "SHORT" ? na : true
isTSs = Position == "LONG" ? na : true
tsi = input(0.5, "TRAILING STOP ACTIVATION %", type = input.float, step = 0.1)
ts_low_profit = input(0.25, "TRAILING STOP OFFSET % --> WHEN PROFIT=0.5% (MINIMUM)", type = input.float, step = 0.05, minval = 0.01)
ts_high_profit = input(1.0, "TRAILING STOP OFFSET % --> WHEN PROFIT=10% (LINEAR_EXTRAPOLATION)", type = input.float, step = 0.1, minval = 0.1)
delay = input(120, "TRAILING STOP DELAY (SECONDS BETWEEN SNAPSHOTS)", type = input.integer, minval = 30, maxval = 300, step = 30)*1000
// Dynamic Trailing Stop linear extrapolation / interpolation according with profit
ts_dynamic(x)=>
ts_dynamic = 0.0
ts_dynamic := max(((((ts_high_profit-ts_low_profit)/9.5)*(x-0.5)) + ts_low_profit), ts_low_profit)
long_profit = abs(((high-last_open_longCondition)/last_open_longCondition)*100)
short_profit = abs(((low-last_open_shortCondition)/last_open_shortCondition)*100)
var float ts = 0.0
ts := in_longCondition ? ts_dynamic(long_profit) : ts_dynamic(short_profit)
// Time between snapshots
round = (floor(timenow/(delay)))*(delay)
var bool ts_delay = 0
if timenow < (time + (timeframe.multiplier*60000) - 60000)
ts_delay := (timenow >= round + (delay)-7500) ? 1 : 0
else
if timenow > (time + (timeframe.multiplier*60000) - 60000)
or ((in_longCondition and high > ((last_open_longCondition*(1+(tsi/100)))*(1+(ts/100)))) and (close < (last_open_longCondition*(1+(tsi/100)))))
or ((in_shortCondition and low < (last_open_shortCondition*(1-(tsi/100)))) and (close > (last_open_shortCondition*(1-(tsi/100)))))
ts_delay := 1
// TS Conditions
var bool long_ts = na
var bool short_ts = na
if high > ((last_open_longCondition*(1+(tsi/100)))*(1+(ts/100)))
long_ts := isTSl and high >= (close*(1+(ts/100))) and high >= (last_open_longCondition*(1+(tsi/100))) and (high >= hband*(1+(ts/100))) and in_longCondition and in_longConditionX and not longCondition
else
if high <= ((last_open_longCondition*(1+(tsi/100)))*(1+(ts/100)))
long_ts := isTSl and high >= (close*(1+(ts/100))) and high >= (last_open_longCondition*(1+(tsi/100))) and close >= (last_open_longCondition*(1+(tsi/100))) and (high >= hband*(1+(ts/100)))
and in_longCondition and in_longConditionX and not longCondition
if (timenow > (time + (timeframe.multiplier*60000) - 60000)) and high < (close*(1+(ts/100))) and (high > ((last_open_longCondition*(1+(tsi/100)))*(1+(ts/100)))) and (high >= hband*(1+(ts/100)))
long_ts := isTSl and in_longCondition and in_longConditionX and not longCondition
if low < ((last_open_shortCondition*(1-(tsi/100)))*(1-(ts/100)))
short_ts := isTSs and low <= (close*(1-(ts/100))) and low <= (last_open_shortCondition*(1-(tsi/100))) and (low <= lband*(1-(ts/100))) and in_shortCondition and in_shortConditionX and not shortCondition
else
if low >= ((last_open_shortCondition*(1-(tsi/100)))*(1-(ts/100)))
short_ts := isTSs and low <= (close*(1-(ts/100))) and low <= (last_open_shortCondition*(1-(tsi/100))) and close <= (last_open_shortCondition*(1-(tsi/100))) and (low <= lband*(1-(ts/100)))
and in_shortCondition and in_shortConditionX and not shortCondition
if (timenow > (time + (timeframe.multiplier*60000) - 60000)) and low > (close*(1-(ts/100))) and (low < ((last_open_shortCondition*(1-(tsi/100)))*(1-(ts/100)))) and (low <= lband*(1-(ts/100)))
short_ts := isTSs and in_shortCondition and in_shortConditionX and not shortCondition
// Ts Antiliquidation. For pumps on same candle of entry.
last_open_long = max(SAR[1],hband)
last_open_short = min(SAR[1],lband)
ts_antiliq_long_profit = abs(((high-last_open_long)/last_open_long)*100)
ts_antiliq_short_profit = abs(((low-last_open_short)/last_open_short)*100)
ts_antiliq = in_longCondition ? ts_dynamic(ts_antiliq_long_profit) : ts_dynamic(ts_antiliq_short_profit)
var bool long_ts_antiliq = na
var bool short_ts_antiliq = na
Act_ts_antiliq = input(2.0, "TRAILING STOP ANTI-LIQUIDATION ACTIVATION % ", type = input.float, step = 0.1)
long_ts_antiliq := isTSl and longCondition and high > ((last_open_long*(1+(Act_ts_antiliq/100)))*(1+(ts_antiliq/100))) and high > last_open_long*(1+(Act_ts_antiliq/100)) and (DIPlus > DIMinus and ADX > th)
and high >= (close*(1+(ts_antiliq/100))) and in_longCondition and in_longConditionX
short_ts_antiliq := isTSs and shortCondition and low < ((last_open_short*(1-(Act_ts_antiliq/100)))*(1-(ts_antiliq/100))) and low < last_open_short*(1-(Act_ts_antiliq/100)) and (DIPlus < DIMinus and ADX > th)
and low <= (close*(1-(ts_antiliq/100))) and in_shortCondition and in_shortConditionX
// Get the time of the last ts close
var int last_long_ts = na
var int last_short_ts = na
last_long_ts := long_ts ? time : nz(last_long_ts[1])
last_short_ts := short_ts ? time : nz(last_short_ts[1])
Final_Long_ts = (long_ts and last_longCondition > nz(last_long_ts[1]))
Final_Short_ts = (short_ts and last_shortCondition > nz(last_short_ts[1]))
var int last_long_ts_antiliq = na
var int last_short_ts_antiliq = na
last_long_ts_antiliq := long_ts_antiliq ? time : nz(last_long_ts_antiliq[1])
last_short_ts_antiliq := short_ts_antiliq ? time : nz(last_short_ts_antiliq[1])
Final_Long_ts_antiliq = (long_ts_antiliq and last_longCondition > nz(last_long_ts_antiliq[1]))
Final_Short_ts_antiliq = (short_ts_antiliq and last_shortCondition > nz(last_short_ts_antiliq[1]))
// STOP LOSS
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
Act_sl = input(false, "STOP LOSS")
isSLl = Position == "SHORT" ? na : true
isSLs = Position == "LONG" ? na : true
sl = input(3.0, "STOP LOSS %", type = input.float, step = 0.1)
long_sl = Act_sl and isSLl and low <= ((1-(sl/100))*last_open_longCondition) and not (open < ((1-(sl/100))*last_open_longCondition)) and in_longCondition and not longCondition
short_sl = Act_sl and isSLs and high >= ((1+(sl/100))*last_open_shortCondition) and not (open > ((1+(sl/100))*last_open_shortCondition)) and in_shortCondition and not shortCondition
// Get the time of the last sl close
var int last_long_sl = na
var int last_short_sl = na
last_long_sl := long_sl ? time : nz(last_long_sl[1])
last_short_sl := short_sl ? time : nz(last_short_sl[1])
// Sl counter
var int CondIni_long_sl = 0
CondIni_long_sl := long_sl or Final_Long_ts ? 1 : longCondition ? -1 : CondIni_long_sl[1]
var int CondIni_short_sl = 0
CondIni_short_sl := short_sl or Final_Short_ts ? 1 : shortCondition ? -1 : CondIni_short_sl[1]
Final_Long_sl = long_sl and CondIni_long_sl[1] == -1 and in_longConditionX and not XlongCondition and not Final_Long_ts
Final_Short_sl = short_sl and CondIni_short_sl[1] == -1 and in_shortConditionX and not XshortCondition and not Final_Short_ts
// Final Long & Short Counter
if Final_Long_ts or Final_Long_sl or XlongCondition
CondIni_long := -1
if Final_Short_ts or Final_Short_sl or XshortCondition
CondIni_short := 1
// SIGNALS
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
// long & short
Final_longCondition_notconfirmed = Position == "SHORT" ? na : longCondition and (DIPlus > DIMinus and ADX > th)
Final_shortCondition_notconfirmed = Position == "LONG" ? na : shortCondition and (DIPlus < DIMinus and ADX > th)
//plotshape(Final_longCondition_notconfirmed, title = "Long Signal", text = "LG", style=shape.triangleup, location=location.belowbar, color = #2E8B57, transp = 0, size=size.tiny)
//plotshape(Final_shortCondition_notconfirmed, title = "Short Signal", text = "ST", style=shape.triangledown, location=location.abovebar, color = #B22222, transp = 0, size=size.tiny)
Final_longCondition = Position == "SHORT" ? na : longCondition[1] and not (shortCondition and (DIPlus < DIMinus and ADX > th))
Final_shortCondition = Position == "LONG" ? na : shortCondition[1] and not (longCondition and (DIPlus > DIMinus and ADX > th))
//plotshape(Final_longCondition, title = "Long Signal", text = "LG", style=shape.triangleup, location=location.belowbar, color = color.lime, transp = 0, size=size.tiny)
//plotshape(Final_shortCondition, title = "Short Signal", text = "ST", style=shape.triangledown, location=location.abovebar, color = color.red, transp = 0, size=size.tiny)
// Xlong & Xshort
var int CondIni_Xlong = 0
CondIni_Xlong := Final_Long_ts or XlongCondition or Final_shortCondition ? 1 : Final_longCondition ? -1 : CondIni_Xlong[1]
var int CondIni_Xshort = 0
CondIni_Xshort := Final_Short_ts or XshortCondition or Final_longCondition ? 1 : Final_shortCondition ? -1 : CondIni_Xshort[1]
var bool Final_XlongCondition = na
var bool Final_XshortCondition = na
Final_XlongCondition := Position == "SHORT" ? na :
((shortCondition and last_longCondition > last_shortCondition[1]) or (XlongCondition and last_longCondition > last_XlongCondition[1])) and CondIni_Xlong[1] == -1
and not Final_shortCondition_notconfirmed and not Final_shortCondition
Final_XshortCondition := Position == "LONG" ? na :
((longCondition and last_shortCondition > last_longCondition[1]) or (XshortCondition and last_shortCondition > last_XshortCondition[1])) and CondIni_Xshort[1] == -1
and not Final_longCondition_notconfirmed and not Final_longCondition
F_XLONG = Final_XlongCondition[1] and not Final_shortCondition and not Final_shortCondition_notconfirmed and not Final_longCondition_notconfirmed
F_XSHORT = Final_XshortCondition[1] and not Final_longCondition and not Final_longCondition_notconfirmed and not Final_shortCondition_notconfirmed
//plotshape(F_XLONG, title = "xL Signal", text = "xL", style=shape.triangledown, location=location.abovebar, color = color.orange, transp = 0, size=size.tiny)
//plotshape(F_XSHORT, title = "xS Signal", text = "xS", style=shape.triangleup, location=location.belowbar, color = color.aqua, transp = 0, size=size.tiny)
// Ts
//plotshape(Final_Long_ts, text ="TS", title="Trailing Stop Long", style=shape.triangledown, location=location.abovebar, color = color.red, editable = false, transp = 0)
//plotshape(Final_Short_ts, text ="TS", title="Trailing Stop Short", style=shape.triangleup, location=location.belowbar, color = color.lime, editable = false, transp = 0)
//lts = iff(Final_Long_ts, high*(1-(ts/100)), na), plot(lts, style = plot.style_cross, linewidth=3, color = color.white, editable = false)
//sts = iff(Final_Short_ts, low*(1+(ts/100)), na), plot(sts, style = plot.style_cross, linewidth=3, color = color.white, editable = false)
// Ts anti-liquidation
//plotshape(Final_Long_ts_antiliq, text ="TSA", title="Trailing Stop Long Antiliq", style=shape.triangledown, location=location.abovebar, color = color.red, editable = false, transp = 0)
//plotshape(Final_Short_ts_antiliq, text ="TSA", title="Trailing Stop Short Antiliq", style=shape.triangleup, location=location.belowbar, color = color.lime, editable = false, transp = 0)
//lts_antiliq = iff(Final_Long_ts_antiliq, high*(1-(ts_antiliq/100)), na), plot(lts_antiliq, style = plot.style_cross, linewidth=3, color = color.white, editable = false)
//sts_antiliq = iff(Final_Short_ts_antiliq, low*(1+(ts_antiliq/100)), na), plot(sts_antiliq, style = plot.style_cross, linewidth=3, color = color.white, editable = false)
// Sl
//plotshape(Final_Long_sl, text ="SL", title="Stop Loss Long", style=shape.triangledown, location=location.abovebar, color = color.fuchsia, editable = false, transp = 0)
//plotshape(Final_Short_sl, text ="SL", title="Stop Loss Short", style=shape.triangleup, location=location.belowbar, color = color.fuchsia, editable = false, transp = 0)
//lsl = iff(Final_Long_sl, (1-(sl/100))*last_open_longCondition, na), plot(lsl, style = plot.style_cross, linewidth=2, color = color.white, editable = false)
//ssl = iff(Final_Short_sl, (1+(sl/100))*last_open_shortCondition, na), plot(ssl, style = plot.style_cross, linewidth=2, color = color.white, editable = false)
// Levels
plot(isTSl and in_longCondition == 1 ? (last_open_longCondition*(1+(tsi/100))) : na, "Long Trailing", color = color.white, style=3, linewidth=1, editable = false)
plot(isTSs and in_shortCondition == 1 ? (last_open_shortCondition*(1-(tsi/100))) : na, "Short Trailing", color = color.white, style=3, linewidth=1, editable = false)
//plot(isTSl and longCondition and high > last_open_long*(1+(Act_ts_antiliq/100)) and (DIPlus > DIMinus and ADX > th) ?
// last_open_long*(1+(Act_ts_antiliq/100)) : na, "Long TSA", color = color.lime, style=3, linewidth=2, editable = false)
//plot(isTSs and shortCondition and low < last_open_short*(1-(Act_ts_antiliq/100)) and (DIPlus < DIMinus and ADX > th) ?
// last_open_short*(1-(Act_ts_antiliq/100)) : na, "Short TSA", color = color.red, style=3, linewidth=2, editable = false)
// Weekend
Weekend = input(true, "SHOW WEEKEND")
W_color = Weekend and (dayofweek == dayofweek.sunday or dayofweek == dayofweek.saturday) ? color.teal : na
bgcolor(W_color, title = "WEEKEND")
// ALERTS
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
// or Final_longCondition_notconfirmed (green signals)
//alertcondition(
// Final_longCondition,
// title="Long Alert",
// message = "LONG"
// )
// or Final_shortCondition_notconfirmed (maroon signals)
//alertcondition(
// Final_shortCondition,
// title="Short Alert",
// message = "SHORT"
// )
//alertcondition(
// (Final_Long_ts and ts_delay)
// or F_XLONG
// or Final_Long_sl
// or (Final_Long_ts_antiliq and close >= (last_open_long*(1+(Act_ts_antiliq/100)))),
// title="XLong TS/XL/SL Alert",
// message = "XLONG TS/XL/SL"
// )
//alertcondition(
// (Final_Short_ts and ts_delay)
// or F_XSHORT
// or Final_Short_sl
// or (Final_Short_ts_antiliq and close <= (last_open_short*(1-(Act_ts_antiliq/100)))),
// title="XShort TS/XL/SL Alert",
// message = "XSHORT TS/XL/SL"
// )
// BOT SYNTAX (DERIBIT EXAMPLE)
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
// message = "LONG | e=DERIBIT a=ACCOUNT s=BTC-PERPETUAL c=order | delay=1 | e=DERIBIT a=ACCOUNT s=BTC-PERPETUAL c=position b=short t=market | delay=2 | e=DERIBIT a=ACCOUNT s=BTC-PERPETUAL b=long q=50% t=market | delay=2 | e=DERIBIT a=ACCOUNT s=BTC-PERPETUAL c=position b=long sl=-3.1% p=-3%"
// message = "SHORT | e=DERIBIT a=ACCOUNT s=BTC-PERPETUAL c=order | delay=1 | e=DERIBIT a=ACCOUNT s=BTC-PERPETUAL c=position b=long t=market | delay=2 | e=DERIBIT a=ACCOUNT s=BTC-PERPETUAL b=short q=50% t=market | delay=2 | e=DERIBIT a=ACCOUNT s=BTC-PERPETUAL c=position b=short sl=3% p=3.1%"
// message = "XSHORT/TS/SL | e=DERIBIT a=ACCOUNT s=BTC-PERPETUAL c=order | delay=2 | e=DERIBIT a=ACCOUNT s=BTC-PERPETUAL c=position b=short t=market"
// message = "XLONG/TS/SL | e=DERIBIT a=ACCOUNT s=BTC-PERPETUAL c=order | delay=2 | e=DERIBIT a=ACCOUNT s=BTC-PERPETUAL c=position b=long t=market"
//
// Using t=limit on entries --> comission_value = 0.025
// BACKTESTING
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
BT_Final_longCondition = Position == "SHORT" ? na : longCondition
BT_Final_shortCondition = Position == "LONG" ? na : shortCondition
testStartYear = input(2019, "BACKTEST START YEAR", minval = 1, maxval = 2222)
testStartMonth = input(01, "BACKTEST START MONTH", minval = 1, maxval = 12)
testStartDay = input(01, "BACKTEST START DAY", minval = 1, maxval = 31)
testPeriodStart = timestamp(testStartYear,testStartMonth,testStartDay,0,0)
if (BT_Final_longCondition)
strategy.entry("long", strategy.long, when = time >= testPeriodStart)
if (BT_Final_shortCondition)
strategy.entry("short", strategy.short, when = time >= testPeriodStart)
pips_corection = input(2, "(TICKS/PIPS CORRECTION)")
strategy.exit("Tsl", "long", trail_points = (abs((last_open_longCondition*(1+(tsi/100)))-last_open_longCondition)*pips_corection),
trail_offset = (high*(ts/100))*pips_corection, loss = Act_sl ? (abs((last_open_longCondition*(1-(sl/100)))-last_open_longCondition)*pips_corection) : na)
strategy.exit("Tss", "short", trail_points = (abs((last_open_shortCondition*(1-(tsi/100)))-last_open_shortCondition)*pips_corection),
trail_offset = (low*(ts/100))*pips_corection, loss = Act_sl ? (abs((last_open_shortCondition*(1+(sl/100)))-last_open_shortCondition)*pips_corection) : na)
strategy.close_all(when = Final_XlongCondition or Final_XshortCondition or Final_Long_sl or Final_Short_sl)