1. Persegi
2. Strategi Pelacakan Harga Osilasi Indikator MA Ganda

Strategi Pelacakan Harga Osilasi Indikator MA Ganda

Penulis:ChaoZhang, Tanggal: 2024-02-05 12:10:18
Tag:

---

---

/*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

---

• Moving Average Crossover Trend Mengikuti Strategi
• Langkah demi langkah Pyramiding Moving Average Breakout Strategy
• Bollinger Bands Dual-track Strategi Terobosan
• Garis Demarkasi Masa Depan Strategi Backtest
• Strategi Perdagangan Quant Berdasarkan Saluran SuperTrend
• Indeks Kekuatan Relatif Strategi Quant jangka panjang
• Strategi Stop Loss Pengamatan Rata-rata Bergerak Ganda
• RSI dan WMA Crossover Strategy
• Strategi Trend Melalui SMA Dinamis
• Strategi Perdagangan Kuantitatif Supertrend Rata-rata Bergerak Ganda
• Tren Mengikuti Strategi Quant Berdasarkan Indikator Hull dan LSMA
• Strategi Crossover Moving Average dan RSI
• Strategi Pelacakan Tren Filter Dual Range
• Super Trend Mengikuti Strategi Berdasarkan Rata-rata Bergerak
• Strategi Perdagangan RSI Menelan Lilin
• Sebuah Bollinger Band dan Trend Tracking Strategi Berdasarkan RSI
• Strategi perdagangan rata-rata bergerak ganda yang kuat
• Bollinger Band Momentum Breakout Strategi Perdagangan
• Strategi Perdagangan Kuantitatif Berdasarkan Band Rata-rata Bergerak 5 Hari dan Sinyal Beli/Jual GBS