
Die Strategie, die als “Dual-MA-Strategien” bezeichnet wird, nutzt eine Kombination aus mehreren MA-Bewegungsdurchschnitten wie SMA und EMA, um die Marktpreise in Echtzeit zu verfolgen, indem sie mehrere schnelle und langsame Indikatoren einrichtet, die ein Handelssignal geben können, wenn ein Marktschwankung auftritt.
Strategie im Überblick: Die Strategie optimiert die Filtermethode vielfältig. Die Strategie nutzt technische Indikatoren wie Durchschnittspreis-Kreuzung, Überkauf-Überverkauf-Indikator RSI, Brinline-Breakout und andere technische Indikatoren für die Komplex-Urteilsfindung. Die Strategie hat einen deutlichen Vorteil, um die Kauf- und Verkaufsposition der Preiskritik zu bestimmen, die Erschütterung von Schokokigkeiten zu erfassen und das Marktrisiko zu verringern.
Die Strategie: 1. Ein Satz von drei MA-Linien (Fast (21 Zyklen), Medium (55 Zyklen) und Langsam (89 Zyklen) für den Durchschnittspreis für verschiedene Zeitspannen; 2. Beurteilen Sie, ob sich die aktuelle Situation in einer Aufwärts- oder Abwärtsphase befindet, indem Sie die Anordnung der drei MA-Linien ((schnell> mittelschnell> langsam oder schnell< mittelschnell> langsam) beurteilen; 3. Die Kurz- und Langstrecken-Bestimmung mit Hilfe von Supertrends und ähnlichem soll die Genauigkeit der Signale erhöhen. 4. Wählen Sie den Zeitpunkt des Handels und senden Sie ein Kauf-/Verkaufssignal basierend auf diesen Signalen und der Veränderung des Status der Filterindikatoren.
Strategische Vorteile: 1. die Verwendung von mehreren MA-Kombinationsindikatoren zur Ermittlung von kurz- und langfristigen Marktentwicklungen, um die Genauigkeit der Beurteilung zu verbessern; 2. Optimierung der Auswahl von Kauf- und Verkaufsplätzen durch die Verwendung von mehreren Filtrationsmethoden, um die Gewinnchancen zu erhöhen; 3. Technische Indikatoren wie Brinline und RSI zur Unterstützung von Durchbrüchen, um wichtige Stützpunkte und Umkehrmöglichkeiten zu erfassen; 4. Die Auswahl der Kauf- und Verkaufsprozesse, die auf die Veränderung der kurzen MA-Richtung basieren, ohne die Geizbereitschaft, sich umzukehren, die Erschütterung der Erschütterung zu verfolgen und zu profitieren; 5. Die Handelssignale werden durch visuelle Pfeile und Markierungen klar angezeigt, leicht zu erfassen und zu bedienen.
Risiken und Vorsichtsmaßnahmen: 1. Die Mittellinie-MA-Strategie hat eine schwache Resistenz gegen falsche Durchbruchwahrscheinlichkeiten. 2. Die mögliche Zeitverschiebung zwischen den kombinierten Indikatoren birgt die Gefahr, dass das Signal zurückbleibt; 3. Nach einem Breakout-Buy muss die Nachmarktstärke noch weiter beurteilt werden, um zu verhindern, dass sie abgehängt wird. 4. Erwägen Sie, die Stop-Loss-Bedingungen zu erhöhen, um den maximalen Verlust eines einzelnen Handels zu kontrollieren.
Strategieoptimierung: 1. Verschiedene MA-Typen und -Parameter testen, um die optimale MA-Kombination zu finden; 2. Erweiterung der Module zur Rückentscheidung, wie die Verbesserung der Verwendung von KD-Indikatoren; 3. Identifizieren Sie die tatsächlichen Trends in Verbindung mit der Analyse der Handelsvolumenindikatoren. 4. Ausweitung der BIAS-Kennzahlen für überkaufte und überverkaufte Gebiete.
Zusammenfassung: Die Strategie nutzt die Gelegenheit von Wellenbandschwankungen in einem ständig schwankenden digitalen Währungsmarkt, um häufig zu handeln, um über die eingestellten MA-Indikatoren und die Hilfsfluktuationsurteile zu wechseln, um die kritischen Wendezeiten des Marktes zu erfassen. Die Strategie kann auch weiter optimiert werden, indem ein Stop-Loss-Modul hinzugefügt wird, um Einmalverluste zu reduzieren und durch Strategieautomation positive Gewinne für die lange Linie zu erzielen.
/*backtest
start: 2024-01-05 00:00:00
end: 2024-02-04 00:00:00
period: 2h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=5
//
// Bannos
// #NotTradingAdvice #DYOR
// Disclaimer.
// I AM NOT A FINANCIAL ADVISOR.
// THESE IDEAS ARE NOT ADVICE AND ARE FOR EDUCATION PURPOSES ONLY.
// ALWAYS DO YOUR OWN RESEARCH
//
// Author: Adaptation from JustUncleL Big Snapper by Bannos
// Date: May-2022
// Version: R1.0
//Description of this addon - Script using several new conditions to give Long/short and SL levels which was not proposed in the Big Snapper strategy "Big Snapper Alerts R3.0"
//"
//This strategy is based on the use of the Big Snapper outputs from the JustUncleL script and the addition of several conditions to define filtered conditions selecting signal synchrones with a trend and a rise of the volatility.
//Also the strategy proposes to define proportional stop losses and dynamic Take profit using an RSI strategy.
// After delivering the temporary ong/short signal and ploting a green or purple signal, several conditions are defined to consider a Signal is Long or short.
//Let s take the long signal as example(this is the same process with the opposite values for a short).
//step 1 - Long Definition:
// Snapper long signal stored in the buffer variable Longbuffer to say that in a close future, we could have all conditions for a long
// Now we need some conditions to combine with it:
//the second one is to be over the Ma_medium(55)
//and because this is not selective enough, the third one is a Volatility indicator "Chaikin Volatility" indicator giving an indication about the volatility of the price compared to the 10 last values
// -> Using the volatility indicator gives the possibility to increase the potential rise if the volatility is higher compared to the last periods.
//With these 3 signals, we get a robust indication about a potential long signal which is then stored in the variable "Longe"
//Now we have a long signal and can give a long signal with its Stop Loss
// The Long Signal is automatically given as the 3 conditions above are satisfied.
// The Stop loss is a function of the last Candle sizes giving a stop below the 70% of the overall candle which can be assimilated to a Fibonacci level. Below this level it makes sense to stop the trade as the chance to recover the complete Candle is more than 60%
//Now we are in an open Long and can use all the mentioned Stop loss condition but still need a Take Profit condition
//The take profit condition is based on a RSI strategy consisting in taking profit as soon as the RSI come back from the overbought area (which is here defined as a rsi over 70) and reaching the 63.5 level to trigger the Take Profit
//This TP condition is only active when Long is active and when an entry value as been defined.
//Entry and SL level appreas as soon as a Long or short arrow signal does appears. The Take profit will be conidtioned to the RSI.
//The final step in the cycle is a reinitialization of all the values giving the possibility to detect and treat any long new signal coming from the Big Snapper signal.
//-------------------------------------------------------------------------------------------------------
strategy(title='Big Snapper Alerts R3.0 + Chaiking Volatility condition + TP RSI', shorttitle='SNAPPER Bannos', overlay=true)
// === INPUTS ===
// Coloured MA - type, length, source
typeColoured = input.string(defval='HullMA', title='Coloured MA Type: ', options=['SMA', 'EMA', 'WMA', 'VWMA', 'SMMA', 'DEMA', 'TEMA', 'HullMA', 'ZEMA', 'TMA', 'SSMA'])
lenColoured = input.int(defval=18, title='Coloured MA - Length', minval=1)
srcColoured = input(close, title='Coloured MA - Source')
// Fast MA - type, length
typeFast = input.string(defval='EMA', title='Fast MA Type: ', options=['SMA', 'EMA', 'WMA', 'VWMA', 'SMMA', 'DEMA', 'TEMA', 'HullMA', 'ZEMA', 'TMA', 'SSMA'])
lenFast = input.int(defval=21, title='Fast MA - Length', minval=1)
// Medium MA - type, length
typeMedium = input.string(defval='EMA', title='Medium MA Type: ', options=['SMA', 'EMA', 'WMA', 'VWMA', 'SMMA', 'DEMA', 'TEMA', 'HullMA', 'ZEMA', 'TMA', 'SSMA'])
lenMedium = input.int(defval=55, title='Medium MA - Length', minval=1)
// Slow MA - type, length
typeSlow = input.string(defval='EMA', title='Slow MA Type: ', options=['SMA', 'EMA', 'WMA', 'VWMA', 'SMMA', 'DEMA', 'TEMA', 'HullMA', 'ZEMA', 'TMA', 'SSMA'])
lenSlow = input.int(defval=89, title='Slow MA Length', minval=1)
// 3xMA source
ma_src = input(close, title='3xMA and Bollinger Source')
//
filterOption = input.string('SuperTrend', title='Signal Filter Option : ', options=['3xMATrend', 'SuperTrend', 'SuperTrend+3xMA', 'ColouredMA', 'No Alerts', 'MACross', 'MACross+ST', 'MACross+3xMA', 'OutsideIn:MACross', 'OutsideIn:MACross+ST', 'OutsideIn:MACross+3xMA'])
//
hideMALines = input(false)
hideSuperTrend = input(true)
hideBollingerBands = input(true)
hideTrendDirection = input(true)
//
disableFastMAFilter = input(false)
disableMediumMAFilter = input(false)
disableSlowMAFilter = input(false)
//
uKC = false // input(false,title="Use Keltner Channel (KC) instead of Bollinger")
bbLength = input.int(20, minval=2, step=1, title='Bollinge Bands Length')
bbStddev = input.float(2.0, minval=0.5, step=0.1, title='Bollinger Bands StdDevs')
oiLength = input(8, title='Bollinger Outside In LookBack')
//
SFactor = input.float(3.618, minval=1.0, title='SuperTrend Factor')
SPd = input.int(5, minval=1, title='SuperTrend Length')
//
buyColour_ = input.string('Green', title='BUY Marker Colour: ', options=['Green', 'Lime', 'Aqua', 'DodgerBlue', 'Gray', 'Yellow'])
sellColour_ = input.string('Maroon', title='SELL Marker Colour: ', options=['Maroon', 'Red', 'Fuchsia', 'Blue', 'Black', 'Orange'])
// --- Allocate Correct Filtering Choice
// Can only be one choice
uSuperTrendFilter = filterOption == 'SuperTrend' ? true : false
u3xMATrendFilter = filterOption == '3xMATrend' ? true : false
uBothTrendFilters = filterOption == 'SuperTrend+3xMA' ? true : false
//uOIFilter = filterOption == "OutsideIn:ClrMA" ? true : false
uOIMACrossFilter = filterOption == 'OutsideIn:MACross' ? true : false
uOI3xMAFilter = filterOption == 'OutsideIn:MACross+3xMA' ? true : false
uOISTFilter = filterOption == 'OutsideIn:MACross+ST' ? true : false
uMACrossFilter = filterOption == 'MACross' ? true : false
uMACrossSTFilter = filterOption == 'MACross+ST' ? true : false
uMACross3xMAFilter = filterOption == 'MACross+3xMA' ? true : false
// unless all 3 MAs disabled.
disable3xMAFilter = disableFastMAFilter and disableMediumMAFilter and disableSlowMAFilter
u3xMATrendFilter := disable3xMAFilter ? false : u3xMATrendFilter
// if no filters selected then must be "No Filters" option
disableAllFilters = u3xMATrendFilter or uSuperTrendFilter or uBothTrendFilters or uOI3xMAFilter or uOISTFilter or uOIMACrossFilter or uMACrossFilter or uMACrossSTFilter or uMACross3xMAFilter ? false : true
// if "No Alerts" option selected, then disable all selections
disableAllFilters := filterOption == 'No Alerts' ? false : disableAllFilters
uSuperTrendFilter := filterOption == 'No Alerts' ? false : uSuperTrendFilter
u3xMATrendFilter := filterOption == 'No Alerts' ? false : u3xMATrendFilter
uBothTrendFilters := filterOption == 'No Alerts' ? false : uBothTrendFilters
//uOIFilter := filterOption == "No Alerts"? false : uOIFilter
uOIMACrossFilter := filterOption == 'No Alerts' ? false : uOIMACrossFilter
uOI3xMAFilter := filterOption == 'No Alerts' ? false : uOI3xMAFilter
uOISTFilter := filterOption == 'No Alerts' ? false : uOISTFilter
uMACrossFilter := filterOption == 'No Alerts' ? false : uMACrossFilter
uMACrossSTFilter := filterOption == 'No Alerts' ? false : uMACrossSTFilter
uMACross3xMAFilter := filterOption == 'No Alerts' ? false : uMACross3xMAFilter
// --- CONSTANTS ---
dodgerblue = #1E90FF
lightcoral = #F08080
buyColour = color.green // for big Arrows, must be a constant.
sellColour = color.maroon // for big Arrows
// Colour Selectable for Big Fat Bars.
buyclr = buyColour_ == 'Lime' ? color.lime : buyColour_ == 'Aqua' ? color.aqua : buyColour_ == 'DodgerBlue' ? dodgerblue : buyColour_ == 'Gray' ? color.gray : buyColour_ == 'Yellow' ? color.yellow : color.green
sellclr = sellColour_ == 'Red' ? color.red : sellColour_ == 'Fuchsia' ? color.fuchsia : sellColour_ == 'Blue' ? color.blue : sellColour_ == 'Black' ? color.black : sellColour_ == 'Orange' ? color.orange : color.maroon
// === /INPUTS ===
// === FUNCTIONS ===
// Returns MA input selection variant, default to SMA if blank or typo.
variant(type, src, len) =>
v1 = ta.sma(src, len) // Simple
v2 = ta.ema(src, len) // Exponential
v3 = ta.wma(src, len) // Weighted
v4 = ta.vwma(src, len) // Volume Weighted
v5 = 0.0
sma_1 = ta.sma(src, len) // Smoothed
v5 := na(v5[1]) ? sma_1 : (v5[1] * (len - 1) + src) / len
v6 = 2 * v2 - ta.ema(v2, len) // Double Exponential
v7 = 3 * (v2 - ta.ema(v2, len)) + ta.ema(ta.ema(v2, len), len) // Triple Exponential
v8 = ta.wma(2 * ta.wma(src, len / 2) - ta.wma(src, len), math.round(math.sqrt(len))) // Hull WMA = (2*WMA (n/2) − WMA (n)), sqrt (n))
v11 = ta.sma(ta.sma(src, len), len) // Triangular
// SuperSmoother filter
// © 2013 John F. Ehlers
a1 = math.exp(-1.414 * 3.14159 / len)
b1 = 2 * a1 * math.cos(1.414 * 3.14159 / len)
c2 = b1
c3 = -a1 * a1
c1 = 1 - c2 - c3
v9 = 0.0
v9 := c1 * (src + nz(src[1])) / 2 + c2 * nz(v9[1]) + c3 * nz(v9[2])
// Zero Lag Exponential
e = ta.ema(v1, len)
v10 = v1 + v1 - e
// return variant, defaults to SMA if input invalid.
type == 'EMA' ? v2 : type == 'WMA' ? v3 : type == 'VWMA' ? v4 : type == 'SMMA' ? v5 : type == 'DEMA' ? v6 : type == 'TEMA' ? v7 : type == 'HullMA' ? v8 : type == 'SSMA' ? v9 : type == 'ZEMA' ? v10 : type == 'TMA' ? v11 : v1
// === /FUNCTIONS ===
// === SERIES VARIABLES ===
// MA's
ma_fast = variant(typeFast, ma_src, lenFast)
ma_medium = variant(typeMedium, ma_src, lenMedium)
ma_slow = variant(typeSlow, ma_src, lenSlow)
ma_coloured = variant(typeColoured, srcColoured, lenColoured)
// Get Direction of Coloured Moving Average
clrdirection = 1
falling_1 = ta.falling(ma_coloured, 2)
clrdirection := ta.rising(ma_coloured, 2) ? 1 : falling_1 ? -1 : nz(clrdirection[1], 1)
// get 3xMA trend direction based on selections.
madirection = ma_fast > ma_medium and ma_medium > ma_slow ? 1 : ma_fast < ma_medium and ma_medium < ma_slow ? -1 : 0
madirection := disableSlowMAFilter ? ma_fast > ma_medium ? 1 : ma_fast < ma_medium ? -1 : 0 : madirection
madirection := disableMediumMAFilter ? ma_fast > ma_slow ? 1 : ma_fast < ma_slow ? -1 : 0 : madirection
madirection := disableFastMAFilter ? ma_medium > ma_slow ? 1 : ma_medium < ma_slow ? -1 : 0 : madirection
madirection := disableFastMAFilter and disableMediumMAFilter ? ma_coloured > ma_slow ? 1 : -1 : madirection
madirection := disableFastMAFilter and disableSlowMAFilter ? ma_coloured > ma_medium ? 1 : -1 : madirection
madirection := disableSlowMAFilter and disableMediumMAFilter ? ma_coloured > ma_fast ? 1 : -1 : madirection
//
// Supertrend Calculations
SUp = hl2 - SFactor * ta.atr(SPd)
SDn = hl2 + SFactor * ta.atr(SPd)
STrendUp = 0.0
STrendDown = 0.0
STrendUp := close[1] > STrendUp[1] ? math.max(SUp, STrendUp[1]) : SUp
STrendDown := close[1] < STrendDown[1] ? math.min(SDn, STrendDown[1]) : SDn
STrend = 0
STrend := close > STrendDown[1] ? 1 : close < STrendUp[1] ? -1 : nz(STrend[1], 1)
Tsl = STrend == 1 ? STrendUp : STrendDown
// Standard Bollinger or KC Bands
basis = ta.sma(ma_src, bbLength)
rangema = ta.sma(ta.tr, bbLength)
stdev_1 = ta.stdev(ma_src, bbLength)
dev = uKC ? bbStddev * rangema : bbStddev * stdev_1
// Calculate Bollinger or KC Channel
upper = basis + dev
lower = basis - dev
// Lookback for previous highest bar index
noiupper = math.abs(ta.highestbars(oiLength))
noilower = math.abs(ta.lowestbars(oiLength))
// ColouredMA OutsideIn
//oiupper = clrdirection<0 and noiupper>0 and highest(oiLength)>upper[noiupper]? 1 : 0
//oilower = clrdirection>0 and noilower>0 and lowest(oiLength)<lower[noilower]? 1 : 0
// MACross OutsideIN
oiMACrossupper = ta.crossunder(ma_fast, ma_coloured) and noiupper > 0 and ta.highest(oiLength) > upper[noiupper] ? 1 : 0
oiMACrosslower = ta.crossover(ma_fast, ma_coloured) and noilower > 0 and ta.lowest(oiLength) < lower[noilower] ? 1 : 0
// === /SERIES VARIABLES ===
// === PLOTTING ===
// All the MA's
plot(ma_coloured, title='Coloured MA', color=clrdirection < 0 ? lightcoral : color.blue, linewidth=3, transp=20)
plot(hideMALines ? na : ma_fast, title='Fast MA', color=color.new(color.lime, 20), linewidth=2)
plot(hideMALines ? na : ma_medium, title='Medium MA', color=color.new(color.red, 10), linewidth=2)
plot(hideMALines ? na : ma_slow, title='Slow MA', color=color.new(color.gray, 10), linewidth=2)
// show 3xMA Trend Direction State.
dcolour = madirection == 1 ? color.green : madirection == -1 ? color.red : color.yellow
plotshape(hideTrendDirection ? na : madirection, title='3xMA Trend Direction', location=location.bottom, style=shape.square, color=dcolour, transp=10)
// SuperTrend
plot(hideSuperTrend ? na : Tsl, color=STrend == 1 ? color.green : color.maroon, style=plot.style_line, linewidth=2, title='SuperTrend')
// Bollinger Bands
p1 = plot(hideBollingerBands ? na : upper, title='BB upper', color=color.new(dodgerblue, 20), linewidth=1)
p2 = plot(hideBollingerBands ? na : lower, title='BB lower', color=color.new(dodgerblue, 20), linewidth=1)
fill(p1, p2, color=color.new(dodgerblue, 96), title='BB fill')
// === /PLOTTING ===
// === ALERTING ===
// 3xMA Filtering
_3xmabuy = 0
_3xmasell = 0
_3xmabuy := clrdirection == 1 and close > ma_fast and madirection == 1 ? nz(_3xmabuy[1]) + 1 : clrdirection == 1 and madirection == 1 ? nz(_3xmabuy[1]) > 0 ? nz(_3xmabuy[1]) + 1 : 0 : 0
_3xmasell := clrdirection == -1 and close < ma_fast and madirection == -1 ? nz(_3xmasell[1]) + 1 : clrdirection == -1 and madirection == -1 ? nz(_3xmasell[1]) > 0 ? nz(_3xmasell[1]) + 1 : 0 : 0
//
// SuperTrend Filtering
stbuy = 0
stsell = 0
stbuy := clrdirection == 1 and STrend == 1 ? nz(stbuy[1]) + 1 : 0
stsell := clrdirection == -1 and STrend == -1 ? nz(stsell[1]) + 1 : 0
//
// 3xMA & SuperTrend Filtering
//
st3xmabuy = 0
st3xmasell = 0
st3xmabuy := (disable3xMAFilter or _3xmabuy > 0) and stbuy > 0 ? nz(st3xmabuy[1]) + 1 : 0
st3xmasell := (disable3xMAFilter or _3xmasell > 0) and stsell > 0 ? nz(st3xmasell[1]) + 1 : 0
// Bollinger Outside In using ColuredMA direction Filter.
//oibuy = 0
//oisell = 0
//oibuy := clrdirection == 1 and oilower==1? nz(oibuy[1])+1 : 0
//oisell := clrdirection ==-1 and oiupper==1? nz(oisell[1])+1 : 0
// Bollinger Outside In using MACross signal Filter
oiMACrossbuy = 0
oiMACrosssell = 0
oiMACrossbuy := oiMACrosslower == 1 ? nz(oiMACrossbuy[1]) + 1 : 0
oiMACrosssell := oiMACrossupper == 1 ? nz(oiMACrosssell[1]) + 1 : 0
// Bollinger Outside In + 3xMA Filter
oi3xmabuy = 0
oi3xmasell = 0
oi3xmabuy := oiMACrossbuy > 0 and (disable3xMAFilter or madirection == 1) ? nz(oi3xmabuy[1]) + 1 : 0
oi3xmasell := oiMACrosssell > 0 and (disable3xMAFilter or madirection == -1) ? nz(oi3xmasell[1]) + 1 : 0
// Bollinger Outside In + SuperTrend Filter
oistbuy = 0
oistsell = 0
oistbuy := oiMACrossbuy > 0 and STrend == 1 ? nz(oistbuy[1]) + 1 : 0
oistsell := oiMACrosssell > 0 and STrend == -1 ? nz(oistsell[1]) + 1 : 0
// FastMA crossover HullMA and SuperTrend
macrossSTbuy = 0
macrossSTsell = 0
macrossSTbuy := ta.crossover(ma_fast, ma_coloured) and STrend == 1 ? nz(macrossSTbuy[1]) + 1 : 0
macrossSTsell := ta.crossunder(ma_fast, ma_coloured) and STrend == -1 ? nz(macrossSTsell[1]) + 1 : 0
// FastMA crossover HullMA and 3xMA
macross3xMAbuy = 0
macross3xMAsell = 0
macross3xMAbuy := ta.crossover(ma_fast, ma_coloured) and (disable3xMAFilter or madirection == 1) ? nz(macross3xMAbuy[1]) + 1 : 0
macross3xMAsell := ta.crossunder(ma_fast, ma_coloured) and (disable3xMAFilter or madirection == -1) ? nz(macross3xMAsell[1]) + 1 : 0
//
// Check any Alerts set
long = u3xMATrendFilter and _3xmabuy == 1 or uSuperTrendFilter and stbuy == 1 or uBothTrendFilters and st3xmabuy == 1 or uOI3xMAFilter and oi3xmabuy == 1 or uOISTFilter and oistbuy == 1 or uOIMACrossFilter and oiMACrossbuy == 1 or uMACrossSTFilter and macrossSTbuy == 1 or uMACross3xMAFilter and macross3xMAbuy == 1
short = u3xMATrendFilter and _3xmasell == 1 or uSuperTrendFilter and stsell == 1 or uBothTrendFilters and st3xmasell == 1 or uOI3xMAFilter and oi3xmasell == 1 or uOISTFilter and oistsell == 1 or uOIMACrossFilter and oiMACrosssell == 1 or uMACrossSTFilter and macrossSTsell == 1 or uMACross3xMAFilter and macross3xMAsell == 1
//
// If Alert Detected, then Draw Big fat liner
plotshape(long ? long : na, title='Long Line Marker', location=location.belowbar, style=shape.arrowup, color=buyclr, size=size.auto, text='████████████████', textcolor=buyclr, transp=20)
plotshape(short ? short : na, title='Short Line Marker', location=location.abovebar, style=shape.arrowdown, color=sellclr, size=size.auto, text='████████████████', textcolor=sellclr, transp=20)
// --- Arrow style signals
// No Filters only Hull Signals
hbuy = 0
hsell = 0
hbuy := clrdirection == 1 ? nz(hbuy[1]) + 1 : 0
hsell := clrdirection == -1 ? nz(hsell[1]) + 1 : 0
// FastMA crossover HullMA
macrossbuy = 0
macrosssell = 0
macrossbuy := ta.crossover(ma_fast, ma_coloured) ? nz(macrossbuy[1]) + 1 : 0
macrosssell := ta.crossunder(ma_fast, ma_coloured) ? nz(macrosssell[1]) + 1 : 0
//
along = disableAllFilters and hbuy == 1 or uMACrossFilter and macrossbuy == 1
ashort = disableAllFilters and hsell == 1 or uMACrossFilter and macrosssell == 1
//
// If ColouredMA or MACross then draw big arrows
plotarrow(along ? 1 : ashort ? -1 : na, title='ColouredMA or MACross Arrow', colorup=color.new(buyColour, 20), colordown=color.new(sellColour, 20), maxheight=100, minheight=50)
//----------Input Bannos----------------------------------------------------------------------------------------------------------//
var triggerlong = 0
var triggershort = 0
var up = 0
var down = 0
var bool longe = 0
var bool shorte = 0
var SL = 0
var entryvalueup = 0.00
var entryvaluedown = 0.00
var SLfactor = 0.5/100
var SLup = 0.00
var SLdown = 0.00
var longbuffer = 0
var shortbuffer = 0
//RSI parameters
overbought = input(70, title="overbought value")
oversold = input(30, title="oversold value")
sellRsi = ta.rsi(close, 11) > overbought
buyRsi = ta.rsi(close, 11) < oversold
var tampon_overbought = 0
var tampon_oversold = 0
//condition to use RSI
if sellRsi
tampon_overbought := 1
if buyRsi
tampon_oversold := 1
//close condition SL
if entryvalueup > 0 and low < SLup
SL := 1
//Chaikin Volatility Strategy indicator if Volatility > 0 then Long or short, otherweise no
Length = input.int(10, '', minval=1)
ROCLength = input.int(12, '',minval=1)
Trigger = input.int(0, '',minval=0)
hline(0)
hline(Trigger)
xPrice1 = high
xPrice2 = low
xPrice = xPrice1 - xPrice2
xROC_EMA = ta.roc(ta.ema(xPrice, Length), ROCLength)
var pos = 0
if xROC_EMA < Trigger
pos := 1
nz(pos[1], 0)
if xROC_EMA > Trigger
pos := -1
nz(pos[1], 0)
//-----------------------------------------------------------------------------
// plot(xROC_EMA, title="Chaikin Volatility Strategy")
// plot(longe ? 1 : 0, 'longe')
// plot(shorte ? 1 : 0, 'shorte')
plot(entryvalueup, 'entree Long')
plot(SLup, 'SL Long')
plot(entryvaluedown, 'entree Short')
plot(SLdown, 'SL Short')
// plot(entryvalueup, 'entrryvalueup')
// plot(entryvaluedown, 'entrryvaluedown')
// plot(up, 'up')
//plot(down, 'down')
// plot(ta.rsi(close, 11), 'RSI')
// plot(tampon_overbought, 'tampon Overbought')
// plot(tampon_oversold, 'tampon Oversold')
// plot( triggerlong, ' triggerlong')
//plot( triggershort, ' triggershort')
// plot(sellRsi ? 1 : 0, 'sellRsi')
//close condition TP
closelong = (tampon_overbought == 1 and ta.rsi(close, 11) < 63.8 or shorte or SL == 1)
closeshort = (tampon_oversold == 1 and ta.rsi(close, 11) > 36.2 or longe or SL == 1)
//reinit after long Close
if closelong
up := 0
longe := 0
tampon_overbought := 0
triggerlong := 0
SL := 0
entryvalueup := 0
SLup := 0
//reinit after short Close
if closeshort
down := 0
shorte := 0
tampon_oversold := 0
triggershort := 0
SL := 0
entryvaluedown := 0
SLdown := 0
//condition sous sur MA SLOW to start
if close < ma_medium
triggerlong := 0
triggershort := 1
if close > ma_medium
triggershort := 0
triggerlong := 1
// Update alarm conditions
if long or along
longbuffer := 1
if short or ashort
shortbuffer := 1
longe := longbuffer and triggerlong and xROC_EMA > 3.5
shorte := shortbuffer and triggershort and xROC_EMA > 3.5
// // var longe = long ? 1 : 0
// // var shorte = short ? 1 : 0
if longe == 1 and close > open
up := 1
down := 0
entryvalueup :=close
SLup := close - 0.7*(high - low)
SLdown := 0
longbuffer := 0
if shorte == 1 and close < open
down := 1
up := 0
entryvaluedown := close
SLdown := close + 0.7*(high - low)
SLup := 0
shortbuffer := 0
strategy.entry('longe', strategy.long, 1, when = up)
strategy.entry('shorte', strategy.short, 1, when = down)
strategy.close('longe', when= closelong)
strategy.close('shorte', when= closeshort)
// === /ALERTING ===
// === ALARMS ===
//
alertcondition(up or down or closelong or closeshort, title='Signal Alert', message='SIGNAL')
alertcondition(up, title='Long Alert', message='LONG')
alertcondition(down, title='Short Alert', message='SHORT')
alertcondition(closelong, title='close Long Alert', message='Close LONG')
alertcondition(closeshort, title='close Short Alert', message='Close SHORT')
// === /ALARMS ===
//EOF