Indicator · Pine Script v5 · On the chart

ShinobiTrend

by Yasukeey· code credited to RONINOO1

A feature-rich overlay indicator that prints buy and sell signals with a sensitivity setting, a signal tuner and presets such as All Signals or Trend Scalper.

View on GitHub

GitHub stars1on the repository
Pine versionv5runs as is
Lines of code1,013
Settings40inputs
LicenceNone statedfile: MPL-2.0
Last update1 year ago30 Apr 2025

Add It to Your TradingView Chart

  1. 1Copy the scriptPress Copy script above, or the copy button on the code below.
  2. 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
  3. 3Paste over the templateCreate a new indicator, select all of the template text and paste. Press Save and give it a name.
  4. 4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.

Source Code

1,013 lines of Pine Script v5 from Trading View Shinobi Trend.txt, published under MPL-2.0 (file header). Keep the author's credit and licence lines when you reuse it.

Trading View Shinobi Trend.txt
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © RONINOO1

//@version=5
indicator("ShinobiTrend [YASUKEEY]", overlay=true, max_lines_count=500, max_labels_count=500, max_boxes_count=350)

bullcolor = #16e045
bearcolor = #e1320f

gr_customalert = "CUSTOM ALERTS CREATOR"

gr_signal = "MAIN SETTINGS"
gr_Basic_Settings = "BASIC SETTINGS"
gr_PullBacksignal = "PULLBACK SIGNALS SETTINGS"
gr_Other_Settings = "CLOUD SETTINGS"
gr_TrendTracer = "TREND TRACER SETTINGS"
gr_signalfilter = "SIGNAL FILTERS"
gr_candle = "CANDLE COLORING"
gr_RiskManage = "RISK MANAGEMENT"
gr_dash = "SMART PANEL"
gr_Conso = "CONSOLIDATION ZONE"

// Get user input

showSignals       = input(true, "Show Signal's", group=gr_signal)
//showSignals       = true
sensitivity       = input.float(3.1, "Sensitivity", 0.1, step=0.1, group=gr_signal)
STuner            = input.int(25, "Signal Tuner(1-25)", minval = 1, maxval = 25, group=gr_signal)
Presets           = input.string("All Signals", "Presets", ["All Signals", "Strong+", "Trend Scalper"], group=gr_signal)
TextStyle         = input.string("Minimal", "Signal Style", ["Normal", "Minimal"], group=gr_signal)


consSignalsFilter = input(false, "Trending Signal Only", group=gr_signalfilter ,inline = "F1")
StrongSignalsOnly  = input(false, "Strong Signals Only", group=gr_signalfilter ,inline = "F1")
highVolSignals    = input(false, "High Volume Signals only", group=gr_signalfilter ,inline = "F2")
signalsTrendCloud = input(false, "Cloud Signals only", group=gr_signalfilter ,inline = "F2")
ContrarianOnly = input(false, "Contrarian Signals Only ", group=gr_signalfilter ,inline = "F3")


Show_PR   = input.bool(true, title="Show PullBack Signals", group = gr_PullBacksignal , inline = "Features1")
MSTuner       = input.int(5, "PullBack Tuner(2-30)", minval = 2, maxval = 30, group=gr_PullBacksignal)

TrendMap = input.string(title='Heatmap Mode', defval='Trend Gradient', options=['Trend Gradient' , 'Signal Based' ,'RSI Gradient','Disable'],group=gr_candle,tooltip="Use to adjust the bar coloring to indicate market sentiment")
momentumCandles   = input(false, "No Momentum Candles", group=gr_candle)

LongTrendAverage  = input(true, 'Trend Tracer', group = gr_TrendTracer, tooltip='Places A EMA Which have a trend filtering capability \n \nTrend Cloud Line (EMA), Will Be Shown On The Chart')
LTAsensitivity    = input.int(250, 'Trend Tracer Length', group=gr_TrendTracer)

showTrendCloud    = input(true, "Show Trend cloud", group=gr_Other_Settings)
periodTrendCloud  = input.string("Smooth", "Trend Cloud Style", [ "Smooth" , "Scalping" , "Scalping+" , "Swing"], group=gr_Other_Settings)
//ScalpingPlus    = input(false, "Fast trend cloud", group=gr_Other_Settings)
//fastTrendCloudLen = input.int(55, "Fast trend cloud", 2, group=gr_Other_Settings)
fastTrendCloudLen = 55



showDashboard     = input(true, "Smart Panel", group = gr_dash , inline = "Features1")
locationDashboard = input.string("Bottom Right", "Table Location", ["Top Right", "Middle Right", "Bottom Right", "Top Center", "Middle Center", "Bottom Center", "Top Left", "Middle Left", "Bottom Left"], group = gr_dash , tooltip="Smart Panel")
sizeDashboard     = input.string("Small", "Table Size", ["Large", "Normal", "Small", "Tiny"], group = gr_dash , tooltip="Smart Panel")


tpLabels          = input(true, "Dynamic Take Profit Lables", group=gr_RiskManage)
ShowTpSlAreas   = input(true, "Show take Profit/Stop-loss Area", group=gr_RiskManage)

ShowTrailingSL  = input(false, "Show trailing Stop-loss", group=gr_RiskManage)


usePercSL         = input(false, "SL/TRAILING", inline="1", group=gr_RiskManage)
percTrailingSL    = input.float(1, "", 0, step=0.1, inline="1", group=gr_RiskManage)
useTP1            = input(true, "", inline="1", group=gr_RiskManage)
multTP1           = input.float(1, "TP 1", 0, inline="1", group=gr_RiskManage)

useTP2            = input(true, "", inline="4", group=gr_RiskManage)
multTP2           = input.float(2, "TP 2           ", 0, inline="4", group=gr_RiskManage)
useTP3            = input(true, "", inline="4", group=gr_RiskManage)
multTP3           = input.float(3, "TP 3", 0, inline="4", group=gr_RiskManage)

ShowSwings      = input(false, "Show Market Structure      ", inline="3", group=gr_RiskManage)
periodSwings      = input.int(10, "        ", 2, inline="3", group=gr_RiskManage)

//showTS = input(title='Show Trend Shifter', defval=false, group='Contrarian SIGNALS')
length = input.int(50, 'Length', minval=1, group='Contrarian SIGNALS')
SSF = input.int(30, 'Smoothing Factor   ', minval=1, group='Contrarian SIGNALS')
CSFSELL = input.int(60, 'OB', minval=1, group='Contrarian SIGNALS' , inline = "SEXY")
CSFBUY = input.int(40, 'OS', minval=1, group='Contrarian SIGNALS', inline = "SEXY")
// showsignals = input(title='Show Signals', defval=false, group='Contrarian SIGNALS')



// Alerts Managemnt
Normalbuy_alert = input.bool(title='Buy Signal   ', defval=false, inline = "NB", group=gr_customalert)
Strongbuy_alert = input.bool(title='Strong Buy', defval=false, inline = "NB", group=gr_customalert)

Normalsell_alert = input.bool(title='Sell Signal   ', defval=false , inline = "NS", group=gr_customalert)
Strongsell_alert = input.bool(title='Strong Sell', defval=false , inline = "NS", group=gr_customalert)

slalert = input.bool(title='Stop-Loss     ', defval=false , inline = "SLTP1", group=gr_customalert)
tp1alert = input.bool(title='Target 1', defval=false , inline = "SLTP1", group=gr_customalert)
tp2alert = input.bool(title='Target 2       ', defval=false , inline = "TP2TP3", group=gr_customalert)
tp3alert = input.bool(title='Target 3', defval=false , inline = "TP2TP3", group=gr_customalert)

bullcrosscloud_alert = input.bool(title='Bullish Cloud', defval=false, inline = "CD", group=gr_customalert)
bearcrosscloud_alert = input.bool(title='Bearish Cloud', defval=false, inline = "CD", group=gr_customalert)



showCons          = false
paintCons         = false
colorZone         = color.white
lbPeriod          = 10
lenCons           = 5



// Signal Text 
SimpleBuy = "Buy"
StrongB = "Strong\nBuy"
SimpleSell = "Sell"
StrongS = "Strong\nSell"

if TextStyle == "Normal"
    SimpleBuy := "Buy"
    StrongB   := "Strong\nBuy"
    SimpleSell:= "Sell"
    StrongS   := "Strong\nSell"

if TextStyle == "Minimal"
    SimpleBuy := "Buy"
    StrongB   := "Strong\nBuy"
    SimpleSell:= "Sell"
    StrongS   := "Strong\nSell"

// Signal Text Color
bullsignalcolor = color.rgb(0, 0, 0)
bearsignalcolor = color.rgb(0, 0, 0)

if TextStyle == "Normal"
    bullsignalcolor := color.rgb(0, 0, 0)
    bearsignalcolor := color.rgb(0, 0, 0)

if TextStyle == "Minimal"
    bullsignalcolor := color.rgb(0, 0, 0)
    bearsignalcolor := color.rgb(0, 0, 0)


src = close

RSII = ta.ema(ta.rsi(src, length), SSF)

TR = math.abs(RSII - RSII[1])

wwalpha = 1 / length

WWMA = 0.0

WWMA := wwalpha * TR + (1 - wwalpha) * nz(WWMA[1])

ATRRSI = 0.0

ATRRSI := wwalpha * WWMA + (1 - wwalpha) * nz(ATRRSI[1])

TsFast = ta.ema(ta.rsi(src, length), SSF)

TsUP = TsFast + ATRRSI * 4.236
TsDN = TsFast - ATRRSI * 4.236

TsSlow = 0.0

TsSlow := TsUP < nz(TsSlow[1]) ? TsUP : TsFast > nz(TsSlow[1]) and TsFast[1] < nz(TsSlow[1]) ? TsDN : TsDN > nz(TsSlow[1]) ? TsDN : TsFast < nz(TsSlow[1]) and TsFast[1] > nz(TsSlow[1]) ? TsUP : nz(TsSlow[1])

Colorh = TsFast > 55 ? color.rgb(255, 0, 0) : TsFast < 45 ? color.rgb(0, 255, 8) : #ffffff

//QQF = plot(TsFast, 'TS FAST', color=color.new(color.maroon, 100), linewidth=2, display=display.none, editable = false)
//QQS = plot(TsSlow, 'TS SLOW', color=color.new(color.white, 100), linewidth=2, display=display.none , editable = false)
//plot(TsFast, color=Colorh, linewidth=2, style=plot.style_area, histbase=50)
//BearLimit = hline(60, color=color.gray, linestyle=hline.style_dashed)
//BullLimt = hline(40, color=color.gray, linestyle=hline.style_dashed)

bulllim = 45
bearlim = 55
BullSignalr = ta.crossover(TsFast, TsSlow) and TsFast < bulllim
BearSignallr = ta.crossunder(TsFast, TsSlow) and TsFast > bearlim

/////////////////////////////////////////////////////////
//  Trap Detector
////////////////////////////////////////////////////////
// Functions
wavetrend(src, chlLen, avgLen) =>
    esa = ta.ema(src, chlLen)
    d = ta.ema(math.abs(src - esa), chlLen)
    ci = (src - esa) / (0.015 * d)
    wt1 = ta.ema(ci, avgLen)
    wt2 = ta.sma(wt1, 3)
    [wt1, wt2]
f_top_fractal(src) => src[4] < src[2] and src[3] < src[2] and src[2] > src[1] and src[2] > src[0]
f_bot_fractal(src) => src[4] > src[2] and src[3] > src[2] and src[2] < src[1] and src[2] < src[0]
f_fractalize (src) => f_top_fractal(src) ? 1 : f_bot_fractal(src) ? -1 : 0
f_findDivs(src, topLimit, botLimit) =>
    fractalTop = f_fractalize(src) > 0 and src[2] >= topLimit ? src[2] : na
    fractalBot = f_fractalize(src) < 0 and src[2] <= botLimit ? src[2] : na
    highPrev = ta.valuewhen(fractalTop, src[2], 0)[2]
    highPrice = ta.valuewhen(fractalTop, high[2], 0)[2]
    lowPrev = ta.valuewhen(fractalBot, src[2], 0)[2]
    lowPrice = ta.valuewhen(fractalBot, low[2], 0)[2]
    bearSignal = fractalTop and high[1] > highPrice and src[1] < highPrev
    bullSignal = fractalBot and low[1] < lowPrice and src[1] > lowPrev
    [bearSignal, bullSignal]

// Get components
[wt1, wt2] = wavetrend(close, 5*MSTuner, 10*MSTuner)
[wtDivBear1, wtDivBull1] = f_findDivs(wt2, 10, -35)
[wtDivBear2, wtDivBull2] = f_findDivs(wt2, 40, -70)
wtDivBull = wtDivBull1 or wtDivBull2
wtDivBear = wtDivBear1 or wtDivBear2

plotshape(ta.crossover(wt1, wt2) and Show_PR and wt2 <= -60, "PullBack Buy" , shape.circle, location.belowbar, color.new(bullcolor,60), size=size.tiny)
plotshape(ta.crossunder(wt1, wt2) and Show_PR and wt2 >= 60, "PullBack Sell", shape.circle, location.abovebar, color.new(bearcolor,60), size=size.tiny)

rsi = ta.rsi(close ,14)

// Functions
f_chartTfInMinutes() =>
    float _resInMinutes = timeframe.multiplier * (
      timeframe.isseconds ? 1. / 60             :
      timeframe.isminutes ? 1.                  :
      timeframe.isdaily   ? 60. * 24            :
      timeframe.isweekly  ? 60. * 24 * 7        :
      timeframe.ismonthly ? 60. * 24 * 30.4375  : na)
atr(len) =>
    tr = ta.tr
    atr = 0.0
    atr := nz(atr[1] + (tr - atr[1]) / len, tr)
supertrend(src, factor, len) =>
    atr = ta.atr(len)
    upperBand = src + factor * atr
    lowerBand = src - factor * atr
    prevLowerBand = nz(lowerBand[1])
    prevUpperBand = nz(upperBand[1])
    lowerBand := lowerBand > prevLowerBand or close[1] < prevLowerBand ? lowerBand : prevLowerBand
    upperBand := upperBand < prevUpperBand or close[1] > prevUpperBand ? upperBand : prevUpperBand
    int direction = na
    float superTrend = na
    prevSuperTrend = superTrend[1]
    if prevSuperTrend == prevUpperBand
        direction := close > upperBand ? 1 : -1
    else
        direction := close < lowerBand ? -1 : 1
    superTrend := direction == 1 ? lowerBand : direction == -1 ? upperBand : na
dchannel(len)=>
    hh = ta.highest(len)
    ll = ta.lowest (len)
    trend = 0
    trend := close > hh[1] ? 1 : close < ll[1] ? -1 : nz(trend[1])
trendScalper(show, len1, len2, len3, colorBull, colorBear, colorBarBull, colorBarBear) =>
    avgOC = math.avg(open, close)
    ha_o = 0.0, ha_o := na(ha_o[1]) ? avgOC : (ha_o[1] + ohlc4[1]) / 2
    ema1 = ta.ema(ha_o, len1), ema2 = ta.ema(ha_o, len2), ema3 = ta.ema(ha_o, len3)
    ris1 = ema1 > ema1[1], ris2 = ema2 > ema2[1], ris3 = ema3 > ema3[1]
    fal1 = ema1 < ema1[1], fal2 = ema2 < ema2[1], fal3 = ema3 < ema3[1]
    colorEma1 = ris1 ? colorBull : fal1 ? colorBear : na, colorEma2 = ris2 ? colorBull : fal2 ? colorBear : na, colorEma3 = ris3 ? colorBull : fal3 ? colorBear : na
    fillEma1 = avgOC > ema1 ? colorBull : avgOC < ema1 ? colorBear : na, fillEma2 = ema1 > ema2 ? colorBull : ema1 < ema2 ? colorBear : na, fillEma3 = ema2 > ema3 ? colorBull : ema2 < ema3 ? colorBear : na
    colorBar = close < ema1 and close < ema2 ? colorBarBear : colorBarBull
    [avgOC, show ? ema1 : na, show ? ema2 : na, show ? ema3 : na, color.new(colorEma1, 55), color.new(colorEma2, 45), color.new(colorEma3, 35), color.new(fillEma1, 85), color.new(fillEma2, 80), color.new(fillEma3, 75), colorBar]

candlesMom() =>
    [_, _, macd] = ta.macd(close, 2, 4, 3)
    (macd > 10 and macd > macd[1]) or (macd < 10 and macd < macd[1])

trailingSL(buy, sell, factor, len, usePerc, perc) =>
    atr = atr(len)
    upperBand = high + (usePerc ? high * (perc / 100) : factor * atr)
    lowerBand = low  - (usePerc ? low  * (perc / 100) : factor * atr)
    prevLowerBand = nz(lowerBand[1])
    prevUpperBand = nz(upperBand[1])
    lowerBand := lowerBand > prevLowerBand or buy  ? lowerBand : prevLowerBand
    upperBand := upperBand < prevUpperBand or sell ? upperBand : prevUpperBand
    int direction = na
    float stop = na
    prevSuperTrend = stop[1]
    if prevSuperTrend == prevUpperBand
        direction := buy ? 1 : -1
    else
        direction := sell ? -1 : 1
    stop := direction == 1 ? lowerBand : direction == -1 ? upperBand : na
add_to_zz(zz, val, bi) =>
    array.unshift(zz, bi)
    array.unshift(zz, val)
    if array.size(zz) > 12
        array.pop(zz)
update_zz(zz, val, bi, dir) =>
    if array.size(zz) == 0
        add_to_zz(zz, val, bi)
    else
        if dir == 1 and val > array.get(zz, 0) or dir == -1 and val < array.get(zz, 0)
            array.set(zz, 0, val)
            array.set(zz, 1, bi)
        0

// Get components

vosc = ta.obv - ta.ema(ta.obv, 20)
bs   = ta.ema(nz(math.abs((open - close) / (high - low) * 100)), 3)
ema  = ta.ema(close, 200)
emaBull = close > ema
equal_tf(res) => str.tonumber(res) == f_chartTfInMinutes()
higher_tf(res) => str.tonumber(res) > f_chartTfInMinutes()
too_small_tf(res) => (timeframe.isweekly and res=="1") or (timeframe.ismonthly and str.tonumber(res) < 10)
securityNoRep(sym, res, src) =>
    bool bull = na
    bull := equal_tf(res) ? src : bull
    bull := higher_tf(res) ? request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) : bull
    bull_array = request.security_lower_tf(syminfo.tickerid, higher_tf(res) ? str.tostring(f_chartTfInMinutes()) : too_small_tf(res) ? (timeframe.isweekly ? "3" : "10") : res, src)
    if array.size(bull_array) > 1 and not equal_tf(res) and not higher_tf(res)
        bull := array.pop(bull_array)
    array.clear(bull_array)
    bull

TF1Bull   = securityNoRep(syminfo.tickerid, "1"   , emaBull)
TF3Bull   = securityNoRep(syminfo.tickerid, "3"   , emaBull)
TF5Bull   = securityNoRep(syminfo.tickerid, "5"   , emaBull)
TF10Bull  = securityNoRep(syminfo.tickerid, "10"  , emaBull)
TF15Bull  = securityNoRep(syminfo.tickerid, "15"  , emaBull)
TF30Bull  = securityNoRep(syminfo.tickerid, "30"  , emaBull)
TF60Bull  = securityNoRep(syminfo.tickerid, "60"  , emaBull)
TF120Bull = securityNoRep(syminfo.tickerid, "120" , emaBull)
TF240Bull = securityNoRep(syminfo.tickerid, "240" , emaBull)
TF720Bull = securityNoRep(syminfo.tickerid, "720" , emaBull)
TFDBull   = securityNoRep(syminfo.tickerid, "1440", emaBull)
ema150 = ta.ema(close, 150)
ema250 = ta.ema(close, 250)
hma55  = ta.hma(close, 55 )

[_, _, macd] = ta.macd(close, 12, 26, 9)
supertrend = supertrend(close, sensitivity, STuner)
maintrend  = dchannel(30)

confBull   = (ta.crossover (close, supertrend) or (ta.crossover (close, supertrend)[1] and maintrend[1] < 0)) and macd > 0 and macd > macd[1] and ema150 > ema250 and hma55 > hma55[2] and maintrend > 0
confBear   = (ta.crossunder(close, supertrend) or (ta.crossunder(close, supertrend)[1] and maintrend[1] > 0)) and macd < 0 and macd < macd[1] and ema150 < ema250 and hma55 < hma55[2] and maintrend < 0

trendcloud = supertrend(ohlc4, periodTrendCloud == "Swing" ? 7 : 4, 10)

hma = periodTrendCloud == "Scalping+" ? ta.hma(close, fastTrendCloudLen) : na

none = close > 0
[_, _, adx] = ta.dmi(14, 14)

consFilter = adx > 20

ContBear = TsFast > CSFSELL
ContBull = TsFast < CSFBUY


StrongFilter = ta.ema(close, 200)

//volFilter = (ta.ema(volume, 25) - ta.ema(volume, 26)) / ta.ema(volume, 26) > 0

volFilter = (ta.ema(volume, 15) - ta.ema(volume, 20)) / ta.ema(volume, 25) > 0

trendFilter = trendcloud

bull = (Presets == "All Signals" ? ta.crossover (close, supertrend) : confBull and not confBull[1]) and Presets != "Trend Scalper" and (StrongSignalsOnly ? close > StrongFilter : none) and (ContrarianOnly ? ContBull : none)  and (consSignalsFilter ? consFilter : none) and (highVolSignals ? volFilter : none) and (signalsTrendCloud ? (periodTrendCloud == "Smooth" ? ema150 > ema250 : close > trendFilter) : none)
bear = (Presets == "All Signals" ? ta.crossunder(close, supertrend) : confBear and not confBear[1]) and Presets != "Trend Scalper" and (StrongSignalsOnly ? close < StrongFilter : none) and (ContrarianOnly ? ContBear : none)  and (consSignalsFilter ? consFilter : none) and (highVolSignals ? volFilter : none) and (signalsTrendCloud ? (periodTrendCloud == "Smooth" ? ema150 < ema250 : close < trendFilter) : none)

countBull = ta.barssince(bull)
countBear = ta.barssince(bear)

trigger = nz(countBull, bar_index) < nz(countBear, bar_index) ? 1 : 0
[avgOC, ema5, ema9, ema21, colorEma5, colorEma9, colorEma21, fillEma5, fillEma9, fillEma21, colorBar] = trendScalper(Presets == "Trend Scalper" ? true : false, 5, 9, 21, bullcolor, bearcolor, bullcolor, bearcolor)

trailingStop = trailingSL(bull, bear, 2.2, 14, usePercSL, percTrailingSL)

float _ph    = ta.highestbars(high, periodSwings) == 0 ? high : na
float _pl    = ta.lowestbars (low,  periodSwings) == 0 ? low  : na
var   _dir   = 0, dir_ = _pl and na(_ph) ? -1 : _dir, _dir := _ph and na(_pl) ? 1 : dir_, dirChg = ta.change(_dir)
var   zz     = array.new_float(0), zzOld = array.copy(zz)
float zzLive = _ph or _pl ? (dirChg ? add_to_zz(zz, _dir == 1 ? _ph : _pl, bar_index) : update_zz(zz, _dir == 1 ? _ph : _pl, bar_index, _dir)) : na


float     hb_     = ta.highestbars(lbPeriod) == 0 ? high : na
float     lb_     = ta.lowestbars (lbPeriod) == 0 ? low  : na
var int   dir     = 0
float     zz_     = na
float     pp      = na
var int   consCnt = 0
var float condHi  = na
var float condLo  = na
float     H_      = ta.highest(lenCons)
float     L_      = ta.lowest (lenCons)
var line  lineUp  = na
var line  lineDn  = na
bool      breakUp = false
bool      breakDn = false
var float[] pvh1_price     = array.new_float(1000, na)
var int[]   pvh1_time      = array.new_int  (1000, na)
var float[] pvl1_price     = array.new_float(1000, na)
var int[]   pvl1_time      = array.new_int  (1000, na)
var float[] pvh2_price     = array.new_float(1000, na)
var int[]   pvh2_time      = array.new_int  (1000, na)
var float[] pvl2_price     = array.new_float(1000, na)
var int[]   pvl2_time      = array.new_int  (1000, na)
var float   htcmrll_price  = na
var int     htcmrll_time   = na
var float   ltcmrhh_price  = na
var int     ltcmrhh_time   = na
var box[]   long_boxes     = array.new_box()
var box[]   short_boxes    = array.new_box()
var float   temp_pv_0      = na
var float   temp_pv_1      = na
var float   temp_pv_2      = na
bool        pvh            = high < high[1] and high[1] > high[2]
bool        pvl            = low  > low [1] and low [1] < low [2]
int         pv1_time       = bar_index[1]
float       pv1_high       = high[1]
float       pv1_low        = low [1]


var buyBars  = array.new_box(365, na)
for i = 0 to 364
    box.delete(array.get(buyBars, i))
var sellBars = array.new_box(365, na)
for i = 0 to 364
    box.delete(array.get(sellBars, i))
// Colors
green    = bullcolor, green50  = color.new(green, 50),  green20  = color.new(green, 80)
red      = bearcolor, red50    = color.new(red, 50),    red20    = color.new(red, 80)
silver   = #B2B5BE, silver50 = color.new(silver, 50), silver20 = color.new(silver, 80)
// Plots
atrBand = usePercSL ? (trigger ? low : high) * (percTrailingSL / 100) : ta.atr(14) * 2.2

atrStop = trigger ? low - atrBand : high + atrBand

lastTrade(src) => ta.valuewhen(bull or bear, src, 0)

entry_y = lastTrade(close)

stop_y = lastTrade(atrStop)

tp1_y = (entry_y-lastTrade(atrStop))*multTP1 + entry_y

tp2_y = (entry_y-lastTrade(atrStop))*multTP2 + entry_y

tp3_y = (entry_y-lastTrade(atrStop))*multTP3 + entry_y

labelTpSl(cond, y, txt, color) =>
    label labelTpSl = ShowTpSlAreas and cond ? label.new(bar_index + 1, y, txt, xloc.bar_index, yloc.price, color, label.style_label_left, color.white, size.normal) : na
    label.delete(labelTpSl[1])
labelTpSl(none, entry_y, "Entry : " + str.tostring(math.round_to_mintick(entry_y)), color.rgb(97, 60, 198, 67))
labelTpSl(none, stop_y , "Stop loss : " + str.tostring(math.round_to_mintick(atrStop)), bearcolor)
labelTpSl(useTP1 and multTP1 != 0, tp1_y, "TP 1 : " + str.tostring(math.round_to_mintick(tp1_y)), bullcolor)
labelTpSl(useTP2 and multTP2 != 0, tp2_y, "TP 2 : " + str.tostring(math.round_to_mintick(tp2_y)), bullcolor)
labelTpSl(useTP3 and multTP3 != 0, tp3_y, "TP 3 : " + str.tostring(math.round_to_mintick(tp3_y)), bullcolor)
lineTpSl(cond, y, color, style) =>
    line lineTpSl = ShowTpSlAreas and cond ? line.new(bar_index - (trigger ? countBull : countBear), y, bar_index + 1, y, xloc.bar_index, extend.none, color, style) : na
    line.delete(lineTpSl[1])
lineTpSl(none, entry_y, color.rgb(97, 60, 198, 67), line.style_dashed)
lineTpSl(none, stop_y , bearcolor   , line.style_solid )
lineTpSl(useTP1 and multTP1 != 0, tp1_y, bullcolor, line.style_dotted)
lineTpSl(useTP2 and multTP2 != 0, tp2_y, bullcolor, line.style_dotted)
lineTpSl(useTP3 and multTP3 != 0, tp3_y, bullcolor, line.style_dotted)


buy  = showSignals and bull ? label.new(bar_index, low , close > StrongFilter ? StrongB  : SimpleBuy , xloc.bar_index, yloc.belowbar, bullcolor, label.style_label_up  , bullsignalcolor, size.normal) : na
sell = showSignals and bear ? label.new(bar_index, high, close < StrongFilter ? StrongS : SimpleSell , xloc.bar_index, yloc.abovebar, bearcolor  , label.style_label_down, bearsignalcolor, size.normal) : na

tpLabels(tp) =>
    tp1Bull = ta.crossover (rsi, 70), tp2Bull = ta.crossover (rsi, 75), tp3Bull = ta.crossover (rsi, 80)
    tp1Bear = ta.crossunder(rsi, 30), tp2Bear = ta.crossunder(rsi, 25), tp3Bear = ta.crossunder(rsi, 20)
    tp1Bull := tp1Bull and (nz(ta.barssince(tp1Bull)[1], 9999) > countBull), tp2Bull := tp2Bull and (ta.barssince(tp1Bull)[1] <= countBull), tp2Bull := tp2Bull and (nz(ta.barssince(tp2Bull)[1], 9999) > countBull), tp3Bull := tp3Bull and (ta.barssince(tp2Bull)[1] <= countBull), tp3Bull := tp3Bull and (nz(ta.barssince(tp3Bull)[1], 9999) > countBull)
    tp1Bear := tp1Bear and (nz(ta.barssince(tp1Bear)[1], 9999) > countBear), tp2Bear := tp2Bear and (ta.barssince(tp1Bear)[1] <= countBear), tp2Bear := tp2Bear and (nz(ta.barssince(tp2Bear)[1], 9999) > countBear), tp3Bear := tp3Bear and (ta.barssince(tp2Bear)[1] <= countBear), tp3Bear := tp3Bear and (nz(ta.barssince(tp3Bear)[1], 9999) > countBear)

    if Presets != "Trend Scalper" and tpLabels
        trigger ? (tp == 1 ? tp1Bull : tp == 2 ? tp2Bull : tp3Bull) : (tp == 1 ? tp1Bear : tp == 2 ? tp2Bear : tp3Bear)

plotshape(tpLabels(1), "", shape.xcross, location.abovebar, trigger ? green : na , 0, "TP 1", trigger ? green : na , false)
plotshape(tpLabels(2), "", shape.xcross, location.abovebar, trigger ? green : na , 0, "TP 2", trigger ? green : na , false)
plotshape(tpLabels(3), "", shape.xcross, location.abovebar, trigger ? green : na , 0, "TP 3", trigger ? green : na , false)
plotshape(tpLabels(1), "", shape.xcross, location.belowbar, trigger ? na    : red, 0, "TP 1", trigger ? na    : red, false)
plotshape(tpLabels(2), "", shape.xcross, location.belowbar, trigger ? na    : red, 0, "TP 2", trigger ? na    : red, false)
plotshape(tpLabels(3), "", shape.xcross, location.belowbar, trigger ? na    : red, 0, "TP 3", trigger ? na    : red, false)


var label zzLabel = na
if array.size(zz) > 12 and ShowSwings
    if array.get(zz, 0) != array.get(zzOld, 0) or array.get(zz, 1) != array.get(zzOld, 1)
        if array.get(zz, 2) == array.get(zzOld, 2) and array.get(zz, 3) == array.get(zzOld, 3)
            label.delete(zzLabel)
        zzLabel := label.new(math.round(array.get(zz, 1)), array.get(zz, 0), _dir == 1 ? array.get(zz, 0) > array.get(zz, 4) ? ((array.get(zz, 4) < array.get(zz, 8)) ? "High" : "HH") : "LH" : array.get(zz, 0) < array.get(zz, 4) ? ((array.get(zz, 4) > array.get(zz, 8)) ? "Low" : "LL") : "HL", xloc.bar_index, yloc.price, color.new(color.white, 100), _dir == 1 ? label.style_label_down : label.style_label_up, _dir == 1 ? bullcolor : bearcolor)


if showCons and barstate.isconfirmed
    dir := hb_ and na(lb_) ? 1 : lb_ and na(hb_) ? -1 : dir
    if hb_ and lb_
        if dir == 1
            zz_ := hb_
        else
            zz_ := lb_
    else
        zz_ := hb_ ? hb_ : lb_ ? lb_ : na
    for x = 0 to 1000
        if na(close) or dir != dir[x]
            break
        if zz_[x]
            if na(pp)
                pp := zz_[x]
            else
                if dir[x] == 1 and zz_[x] > pp
                    pp := zz_[x]
                if dir[x] == -1 and zz_[x] < pp
                    pp := zz_[x]
    if pp != pp[1]
        if consCnt > lenCons
            if pp > condHi
                breakUp := true
            if pp < condLo
                breakDn := true
        if consCnt > 0 and pp <= condHi and pp >= condLo
            consCnt += 1
        else
            consCnt := 0
    else
        consCnt += 1
    if consCnt >= lenCons
        if consCnt == lenCons
            condHi := H_
            condLo := L_
        else
            line.delete(lineUp)
            line.delete(lineDn)
            condHi := math.max(condHi, high)
            condLo := math.min(condLo, low )
        lineUp := line.new(bar_index, condHi , bar_index - consCnt, condHi , color=bearcolor , style=line.style_dashed)
        lineDn := line.new(bar_index, condLo , bar_index - consCnt, condLo , color=color.lime, style=line.style_dashed)
fill(plot(condHi, "", na, 1, plot.style_stepline, editable=false), plot(condLo, "", na, 1, plot.style_stepline, editable=false), paintCons and consCnt > lenCons ? colorZone : na, "", false)


buy_col = color.new(#0ac20a,0)
sell_col = color.new(#fd1605,0)
text_col = color.new(#FFFFFF,0)


// -------- Bearish trend (blue) color selection --------
getSellColor(count) =>
    if count == 1
        color.new(#11e7f2,0)
    else
        if count == 2
            color.new(#11d9f2,0)
        else
            if count == 3
                color.new(#11cbf2,0)
            else
                if count == 4
                    color.new(#11aff2,0)
                else
                    if count == 5
                        color.new(#1193f2,0)
                    else
                        if count == 6
                            color.new(#1176f2,0)
                        else
                            if count == 7
                                color.new(#105df4,0)
                            else
                                if count == 8
                                    color.new(#1051f5,0)
                                else
                                    if count == 9
                                        color.new(#0f44f5,0)
                                    else
                                        if count == 10
                                            color.new(#0c3de0,0)
                                        else
                                            if count == 11
                                                color.new(#0935ca,0)
                                            else
                                                if count == 12
                                                    color.new(#062eb4,0)
                                                else
                                                    if count == 13
                                                        color.new(#02269e,0)

// -------- Bullish trend (blue) color selection --------
getBuyColor(count) =>
    if count == 1
        color.new(#eef211,0)
    else
        if count == 2
            color.new(#efdc11,0)
        else
            if count == 3
                color.new(#f0c511,0)
            else
                if count == 4
                    color.new(#f1af11,0)
                else
                    if count == 5
                        color.new(#f29811,0)
                    else
                        if count == 6
                            color.new(#f28811,0)
                        else
                            if count == 7
                                color.new(#f27811,0)
                            else
                                if count == 8
                                    color.new(#f26811,0)
                                else
                                    if count == 9
                                        color.new(#f25811,0)
                                    else
                                        if count == 10
                                            color.new(#ea420d,0)
                                        else
                                            if count == 11
                                                color.new(#e12c09,0)
                                            else
                                                if count == 12
                                                    color.new(#d81605,0)
                                                else
                                                    if count == 13
                                                        color.new(#cf0000,0)

// -------- Calculate bearish trend sequence --------
buySetup = 0
buySetup := close < close[4] ? buySetup[1] == 13 ? 1 : buySetup[1] + 1 : 0


// -------- Calculate bullish trend sequence --------
sellSetup = 0
sellSetup := close > close[4] ? sellSetup[1] == 13 ? 1 : sellSetup[1] + 1 : 0


// -------- Paint bars --------
barColour = buySetup >= 1 ? getBuyColor(buySetup) : sellSetup >= 1 ? getSellColor(sellSetup) : na

// Candle Coloring
// Input
FastteyLength = 12
SjlowLeyLength = 26
srrrc = close
signalXLength = 9

// Data reference
[MacdX, signalX, histX] = ta.macd(srrrc, FastteyLength, SjlowLeyLength, signalXLength)

// 4 level of green
greenHigh = #eeff00
greenMidHigh = #c7ca00
greenMidLow = #ddb500
greenLow = #8635ff

// Yellow
yellowLow = #8635ff

// 4 level of red
redHigh = color.rgb(255, 255, 255)
redMidHigh = #cecece
redMidLow = #dbdbdb
redLow = #8635ff

// Default color
candleBody = yellowLow

// Ranging trend
if histX > 0
    if histX > histX[1] and histX[1] > 0
        candleBody := greenLow
        
if histX < 0
    if histX < histX[1] and histX[1] < 0
        candleBody := redLow

// Bullish trend
if MacdX > 0 and histX > 0
    candleBody := greenMidLow
    
    if histX > histX[1] and MacdX[1] > 0 and histX[1] > 0
        candleBody := greenMidHigh
        
        if histX > histX[2] and MacdX[2] > 0 and histX[2] > 0
            candleBody := greenHigh

// Bearish trend
if MacdX < 0 and histX < 0
    candleBody := redMidLow
    
    if histX < histX[1] and MacdX[1] < 0 and histX[1] < 0
        candleBody := redMidHigh
        
        if histX < histX[2] and MacdX[2] < 0 and histX[2] < 0
            candleBody := redHigh

//barcolor(candleBody) 
//barcolor(TrendMap == 'RSI Gradient' ? barColour : na, title='Bar colors (heatmap)',editable=false)
barcolor(momentumCandles and candlesMom() ? color.rgb(187, 187, 187) : TrendMap == 'Signal Based' ? (Presets == "Trend Scalper" ? colorBar : na(countBull) and na(countBear) ? color.gray : trigger ? bullcolor : bearcolor) : TrendMap == 'RSI Gradient' ? barColour : TrendMap == 'Trend Gradient' ? candleBody : na , editable=false)
//plotcandle(open, high, low, close , color = momentumCandles and candlesMom() ? color.rgb(187, 187, 187) : TrendMap == 'Signal Based' ? (Presets == "Trend Scalper" ? colorBar : na(countBull) and na(countBear) ? color.gray : trigger ? bullcolor : bearcolor) : TrendMap == 'RSI Gradient' ? barColour : TrendMap == 'Trend Gradient' ? candleBody : na , editable=false  , wickcolor = momentumCandles and candlesMom() ? color.rgb(187, 187, 187) : TrendMap == 'Signal Based' ? (Presets == "Trend Scalper" ? colorBar : na(countBull) and na(countBear) ? color.gray : trigger ? bullcolor : bearcolor) : TrendMap == 'RSI Gradient' ? barColour : TrendMap == 'Trend Gradient' ? candleBody : na , editable=false  , bordercolor = momentumCandles and candlesMom() ? color.rgb(187, 187, 187) : TrendMap == 'Signal Based' ? (Presets == "Trend Scalper" ? colorBar : na(countBull) and na(countBear) ? color.gray : trigger ? bullcolor : bearcolor) : TrendMap == 'RSI Gradient' ? barColour : TrendMap == 'Trend Gradient' ? candleBody : na , editable=false  , editable = false)

fill(plot(showTrendCloud and periodTrendCloud == "Smooth" ? ema150 : na, "", na, editable=false), plot(showTrendCloud and periodTrendCloud == "Smooth" ? ema250 : na, "", na, editable=false), ema150 > ema250 ? color.new(bullcolor, 70) : ema150 < ema250 ? color.new(bearcolor, 70) : na)

plot(ShowTrailingSL and     trigger and nz(ta.barssince(low  < trailingStop), bar_index) > countBull ? trailingStop : na, "", green, 1, plot.style_linebr, editable=false)
plot(ShowTrailingSL and not trigger and nz(ta.barssince(high > trailingStop), bar_index) > countBear ? trailingStop : na, "", red  , 1, plot.style_linebr, editable=false)

p0 = plot(avgOC, "", na        , editable=false)
p1 = plot(ema5 , "", colorEma5 , editable=false)
p2 = plot(ema9 , "", colorEma9 , editable=false)
p3 = plot(ema21, "", colorEma21, editable=false)


plot(LongTrendAverage ? ta.ema(close, LTAsensitivity) : na, 'Trend Tracer', linewidth=2, color=close[8] > ta.ema(close, LTAsensitivity) ? color.new(bullcolor, 45) : color.new(bearcolor, 45))



fill(p0, p1, fillEma5 )
fill(p1, p2, fillEma9 )
fill(p2, p3, fillEma21)

fill(plot(showTrendCloud and periodTrendCloud != "Smooth" and periodTrendCloud != "Scalping+" and trendcloud != 0 and close > trendcloud ? trendcloud : na, "", bullcolor, 1, plot.style_linebr, editable=false), p0, color.new(bullcolor, 90))
fill(plot(showTrendCloud and periodTrendCloud != "Smooth" and periodTrendCloud != "Scalping+" and trendcloud != 0 and close < trendcloud ? trendcloud : na, "", bearcolor  , 1, plot.style_linebr, editable=false), p0, color.new(bearcolor  , 90))
fill(plot(hma, "", hma > hma[2] ? green : hma < hma[2] ? red : na, editable=false), plot(hma[2], "", hma > hma[2] ? green : hma < hma[2] ? red : na, editable=false), hma > hma[2] ? green : hma < hma[2] ? red : na)



/////////////////////////////////////////////////////////
//   Money Moves [Dashboard]
////////////////////////////////////////////////////////

////////////////////////////////////////////////////////////////////////////////////////////////


// Get user input
indicatorTF = "Chart"

// Functions
sqz(bbLen, bbMult, kcLen, kcMult, source) =>
    upperBB = ta.sma(source, bbLen) + ta.stdev(source, bbLen) * bbMult
    lowerBB = ta.sma(source, bbLen) - ta.stdev(source, bbLen) * bbMult
    upperKC = ta.sma(source, kcLen) + ta.sma(ta.tr, kcLen) * kcMult
    lowerKC = ta.sma(source, kcLen) - ta.sma(ta.tr, kcLen) * kcMult
    sqzOn   = lowerBB > lowerKC and upperBB < upperKC
    sqzOff  = lowerBB < lowerKC and upperBB > upperKC
    [sqzOn, sqzOff]
qqe(rsiLen, rsiSmooth, factor, source, bbLen, bbMult) =>
    rsiMa     = ta.ema(ta.rsi(source, rsiLen), rsiSmooth)
    delta     = ta.ema(ta.ema(math.abs(ta.mom(rsiMa, 1)), rsiLen * 2 - 1), rsiLen * 2 - 1) * factor
    longBand  = 0.0, longBand  := rsiMa > longBand[1]  and rsiMa[1] > longBand[1]  ? math.max(longBand[1],  rsiMa - delta) : rsiMa - delta
    shortBand = 0.0, shortBand := rsiMa < shortBand[1] and rsiMa[1] < shortBand[1] ? math.min(shortBand[1], rsiMa + delta) : rsiMa + delta
    cross1    = ta.cross(rsiMa, shortBand[1])
    cross2    = ta.cross(rsiMa, longBand[1])
    trend     = 0.0, trend := cross1 ? 1 : cross2 ? -1 : nz(trend[1], 1)
    fastDelta = trend == 1 ? longBand : shortBand
    _hist     = rsiMa - 50
    _line     = fastDelta - 50
    [_, upper, lower] = ta.bb(_line, bbLen, bbMult)
    [_hist, _line, upper, lower]

// Get components
cond(_offset) =>
    top    = ta.highest(high, 10)
    bot    = ta.lowest(low, 10)
    osc    = ta.ema(hlc3, 5) - ta.ema(ohlc4, 20)
    oscRis = osc > osc[1]
    oscFal = osc < osc[1]
    oscA0  = osc > 0
    oscB0  = osc < 0
    oscTop = oscFal and oscRis[1]
    oscBot = oscRis and oscFal[1]
    bullR  = oscB0 and oscBot and ((osc > ta.valuewhen(oscB0 and oscBot, osc, 1) and bot < ta.valuewhen(oscB0 and oscBot, bot, 1)))
    bearR  = oscA0 and oscTop and ((osc < ta.valuewhen(oscA0 and oscTop, osc, 1) and top > ta.valuewhen(oscA0 and oscTop, top, 1)))
    bullH  = oscB0 and oscBot and ((osc < ta.valuewhen(oscB0 and oscBot, osc, 1) and bot > ta.valuewhen(oscB0 and oscBot, bot, 1)))
    bearH  = oscA0 and oscTop and ((osc > ta.valuewhen(oscA0 and oscTop, osc, 1) and top < ta.valuewhen(oscA0 and oscTop, top, 1)))
    [sqzOn, sqzOff] = sqz(20, 2, 20, 2, close)
    [_hist1, _line1, upper1, lower1] = qqe(6, 6, 3, close, 50, 0.001)
    [_hist2, _line2, upper2, lower2] = qqe(6, 5, 1.618, close, 50, 1)
    [_, _, tvr] = ta.dmi(14, 14)
    [osc[_offset], oscRis[_offset], oscFal[_offset], oscA0[_offset], oscB0[_offset], oscTop[_offset], oscBot[_offset], bullR[_offset], bearR[_offset], bullH[_offset], bearH[_offset], sqzOn[_offset], sqzOff[_offset], _hist1[_offset], upper1[_offset], lower1[_offset], _hist2[_offset], _line2[_offset], tvr[_offset]]
tf = indicatorTF == "Chart" ? timeframe.period : indicatorTF == "1 minute" ? "1" : indicatorTF == "3 minutes" ? "3" : indicatorTF == "5 minutes" ? "5" : indicatorTF == "10 minutes" ? "10" : indicatorTF == "15 minutes" ? "15" : indicatorTF == "30 minutes" ? "30" : indicatorTF == "45 minutes" ? "45" : indicatorTF == "1 hour" ? "60" : indicatorTF == "2 hours" ? "120" : indicatorTF == "3 hours" ? "180" : indicatorTF == "4 hours" ? "240" : indicatorTF == "12 hours" ? "720" : indicatorTF == "1 day" ? "1D" : indicatorTF == "1 week" ? "1W" : indicatorTF == "1 month" ? "1M" : na
[osc, oscRis, oscFal, oscA0, oscB0, oscTop, oscBot, bullR, bearR, bullH, bearH, sqzOn, sqzOff, _hist1, upper1, lower1, _hist2, _line2, tvr] = request.security(syminfo.tickerid, tf, cond(indicatorTF != "Chart" and barstate.isrealtime ? 1 : 0))


colorTVR = tvr < 15 ? #F6525F : tvr > 15 and tvr < 25 ? #B2B5BE : #66BB6A

// Plots
//plot(Presets == "Money Moves TrendVR" ? tvr : na, "", colorTVR, editable=false)

TrendText = "Trending"

if tvr < 15 and tvr < 25
    TrendText := "No trend"

if tvr > 15 and tvr < 25
    TrendText := "Ranging"


//------------------------------------------------------------------------------------------------------- Volatility 


//Calculates Volatility for Dashboard
atrr = 3 * ta.atr(10)
stdAtr = 2 * ta.stdev(atrr, 20)
smaAtr = ta.sma(atrr, 20)
topAtrDev = smaAtr + stdAtr
bottomAtrDev = smaAtr - stdAtr
calcDev = (atrr - bottomAtrDev) / (topAtrDev - bottomAtrDev)
percentVol = 40 * calcDev + 30

AvrLength = 21
PercentFilter = 144
xAavrVolume = ta.rma(volume, AvrLength)
nResLess = volume * 100 / xAavrVolume < PercentFilter ? 0 : volume
nRes = nResLess 
clr = close < open ? color.red : color.green
//plot(nRes, color=clr, style=plot.style_columns, title='Volume Filter', transp=20)

VolitiText = "Inactive"

if nRes
    VolitiText := "Active"
//////////////////////////////////////////

ema69 = ta.ema(close, 9)
totalSentTxt = ema69 > ema69[2] ? 'Bullish' : ema69 < ema69[2] ? 'Bearish' : 'Flat'




// INputs
//Timezones
tz_incr = 0
use_exchange = false



//------------------------------------------------------------------------------
//Settings
//-----------------------------------------------------------------------------{
//Session A
NYSes = true
NYTxt = 'New York'
NYTime = '1300-2200'
//Session B
LDSes = true
sesb_txt = 'London'
sesb_ses = '0700-1600'
//Session C
show_sesc = true
sesc_txt = 'Tokyo'
sesc_ses = '0000-0900'
//Session D
show_sesd = true
sesd_txt = 'Sydney'
sesd_ses = '2100-0600'


//-----------------------------------------------------------------------------}
//Sessions
//-----------------------------------------------------------------------------{
tff = timeframe.period

var tz = use_exchange ? syminfo.timezone :
  str.format('UTC{0}{1}', tz_incr >= 0 ? '+' : '-', math.abs(tz_incr))

is_sesa = math.sign(nz(time(tff, NYTime, tz)))
is_sesb = math.sign(nz(time(tff, sesb_ses, tz)))
is_sesc = math.sign(nz(time(tff, sesc_ses, tz)))
is_sesd = math.sign(nz(time(tff, sesd_ses, tz)))


////////////////////////////////////////////
SessionText = "Default"

//Session a = Newyork
//Session b = London
//Session c = Tokyo
//Session d = Sydney

if is_sesd
    SessionText := sesd_txt

if is_sesc
    SessionText := sesc_txt

if is_sesb
    SessionText := sesb_txt

if is_sesa
    SessionText := NYTxt

    
if is_sesd and is_sesc
    SessionText := "Sydney/Tokyo"

if is_sesb and is_sesc
    SessionText := "Tokyo/London"

if is_sesb and is_sesa
    SessionText := "London/Newyork"

if is_sesa and is_sesd
    SessionText := "Newyork/Sydney"
//-----------------------------------------------------------------------------}
//Overlays  color.green : color.red
//-----------------------------------------------------------------------------{





// 
var dashboard_loc  = locationDashboard == "Top Right" ? position.top_right : locationDashboard == "Middle Right" ? position.middle_right : locationDashboard == "Bottom Right" ? position.bottom_right : locationDashboard == "Top Center" ? position.top_center : locationDashboard == "Middle Center" ? position.middle_center : locationDashboard == "Bottom Center" ? position.bottom_center : locationDashboard == "Top Left" ? position.top_left : locationDashboard == "Middle Left" ? position.middle_left : position.bottom_left

var dashboard_size = sizeDashboard == "Large" ? size.large : sizeDashboard == "Normal" ? size.normal : sizeDashboard == "Small" ? size.small : size.tiny

var dashboard      = showDashboard ? table.new(dashboard_loc, 3, 7, color.rgb(30, 34, 45 , 60), #3d384300, 2, color.rgb(30, 34, 45 , 60), 1) : na

dashboard_cell(column, row, txt, signal=false) => table.cell(dashboard, column, row, txt, 0, 0, signal ? #000000 : color.white, text_size=dashboard_size)

dashboard_cell_bg(column, row, col) => table.cell_set_bgcolor(dashboard, column, row, col)
if barstate.islast and showDashboard
// MTF Trend 
    dashboard_cell(0, 0 , "TF")
    dashboard_cell(0, 2 , "M5") , dashboard_cell_bg(0, 2 , TF5Bull  ? color.green : color.red)
    dashboard_cell(0, 3 , "M15") , dashboard_cell_bg(0, 3 , TF15Bull  ? color.green : color.red)
    dashboard_cell(0, 4 , "M30") , dashboard_cell_bg(0, 4 , TF30Bull  ? color.green : color.red)
    dashboard_cell(0, 5 , "1H") , dashboard_cell_bg(0, 5 , TF60Bull  ? color.green : color.red)
    dashboard_cell(0, 6 , "4H") , dashboard_cell_bg(0, 6 , TF240Bull  ? color.green : color.red)

// Middel part
    dashboard_cell(1, 0 , "                   🥷🏾YASUKEEY Le'RONIN   ")  
    dashboard_cell(1, 2 , "           🧮 Market Structure               ") 
    dashboard_cell(1, 3 , "     📊 Volatility                    ") 
    dashboard_cell(1, 4 , "🪙 Institutional Play    ") 
    dashboard_cell(1, 5 , "    🕒 Trading Session (UTC)  ") 
    dashboard_cell(1, 6 , "     💹 Trend Direction           ") 

// End part
    dashboard_cell(2, 0 , "")
    dashboard_cell(2, 2 , TrendText) 
    dashboard_cell(2, 3 , str.tostring(percentVol, '##.##') + '%') 
    dashboard_cell(2, 4 , VolitiText) 
    dashboard_cell(2, 5 , SessionText) 
    dashboard_cell(2, 6 , totalSentTxt) 


// Alerts

f_sl_crossed() =>
    ret = false
    stop = ShowTrailingSL ? trailingStop : stop_y
    crossBull = low [1] >= stop[1] and low  < stop[1] and ta.barssince(low [1] >= stop[1] and low  < stop[1])[1] >= countBull - 1
    crossBear = high[1] <= stop[1] and high > stop[1] and ta.barssince(high[1] <= stop[1] and high > stop[1])[1] >= countBear - 1
    ret := trigger[1] ? crossBull : crossBear
f_tp_crossed(tp) =>
    ret = false
    profit = tp
    crossBull = high[1] <= profit[1] and high > profit[1] and ta.barssince(high[1] <= profit[1] and high > profit[1])[1] >= countBull - 1
    crossBear = low [1] >= profit[1] and low  < profit[1] and ta.barssince(low [1] >= profit[1] and low  < profit[1])[1] >= countBear - 1
    ret := trigger[1] ? crossBull : crossBear
alert01 = (bull and close <= StrongFilter) or (bear and close >= StrongFilter)
alert02 = bull or bear
alert03 = (bull and close > StrongFilter) or (bear and close < StrongFilter)
alert04 = bull and close <= StrongFilter
alert06 = bear and close >= StrongFilter
alert07 = bull and close > StrongFilter
alert08 = bear and close < StrongFilter
alert09 = f_sl_crossed()
alert11 = f_tp_crossed(tp1_y)
alert12 = f_tp_crossed(tp2_y)
alert13 = f_tp_crossed(tp3_y)
alert14 = periodTrendCloud == "Smooth" ? ta.crossunder(ema150, ema250) : (close < trendcloud) and (close > trendcloud)[1]
alert15 = periodTrendCloud == "Smooth" ? ta.crossover (ema150, ema250) : (close > trendcloud) and (close < trendcloud)[1]

//alerts(sym) =>
//    if alert01 or alert02 or alert03 or alert04 or alert05 or alert06 or alert07 or alert08 or alert09 or alert10 or alert11 or alert12 or alert13 or alert14 or alert15
//        alert("NEW ALERT",  alert.freq_once_per_bar_close)
//alerts(syminfo.tickerid)

// Signal Alerts
if alert04 and Normalbuy_alert
    alert('Buy Signal Alert !!!' , alert.freq_once_per_bar_close)
    alert(syminfo.tickerid)
if alert07 and Strongbuy_alert
    alert('Strong Buy Signal Alert !!!', alert.freq_once_per_bar_close)
    alert(syminfo.tickerid)    
if (bear and close >= StrongFilter) and Normalsell_alert
    alert('Sell Signal Alert !!!', alert.freq_once_per_bar_close)
    alert(syminfo.tickerid)
if (bear and close < StrongFilter) and Strongsell_alert
    alert('Strong Sell Signal Alert !!!', alert.freq_once_per_bar_close)
    alert(syminfo.tickerid)
// Risk Management Alerts
if alert09 and slalert
    alert('SL Alert !!!', alert.freq_once_per_bar_close)
    alert(syminfo.tickerid)
if alert11 and tp1alert
    alert('Target 1 Alert !!!', alert.freq_once_per_bar_close)
    alert(syminfo.tickerid)
if alert12 and tp2alert
    alert('Target 2 Alert !!!', alert.freq_once_per_bar_close)
    alert(syminfo.tickerid)
if alert13 and tp3alert
    alert('Target 3 Alert !!!', alert.freq_once_per_bar_close)
    alert(syminfo.tickerid)
// Cloud Alert
if alert15 and bullcrosscloud_alert
    alert('Cloud Turned Bullish !!!', alert.freq_once_per_bar_close)
    alert(syminfo.tickerid)
if alert14 and bearcrosscloud_alert
    alert('Cloud Turned Bearish !!!', alert.freq_once_per_bar_close)
    alert(syminfo.tickerid)

alertcondition(alert01, "Any Signal Contrarian Buy / Contrarian sell", "Buy or Sell")
alertcondition(alert04, "Contrarian Buy alert", "Buy")
alertcondition(alert06, "Contrarian Sell alert", "Sell")

Overview

ShinobiTrend adds a trend cloud, a long-term trend tracer, pullback signals, trend heatmap candle colouring and a smart panel table. Filters can limit signals to trending, strong, high-volume, cloud or contrarian ones. It also draws take profit and stop loss areas and an optional trailing stop.

Details

Published by

Yasukeey on GitHub

Code credit

RONINOO1, as written in the script's header

Type

Indicator, Pine Script v5

Draws

On the price chart

Category

Trend, Screeners & dashboards

Markets

Any symbol

Timeframes

Any timeframe

Risk Notes

No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.

Settings

The inputs you can change from the gear icon on the chart. Defaults are the author's.

SettingTypeDefaultVariable
Show Signal'sbooltrueshowSignals
Sensitivityfloat3.1sensitivity
Signal Tuner(1-25)int25STuner
PresetsstringAll SignalsPresets
Signal StylestringMinimalTextStyle
Trending Signal OnlyboolfalseconsSignalsFilter
Strong Signals OnlyboolfalseStrongSignalsOnly
High Volume Signals onlyboolfalsehighVolSignals
Cloud Signals onlyboolfalsesignalsTrendCloud
Contrarian Signals Only boolfalseContrarianOnly
Show PullBack SignalsbooltrueShow_PR
PullBack Tuner(2-30)int5MSTuner
Show all 40 settings
SettingTypeDefaultVariable
Heatmap ModestringTrend GradientTrendMap
No Momentum CandlesboolfalsemomentumCandles
Trend TracerbooltrueLongTrendAverage
Trend Tracer Lengthint250LTAsensitivity
Show Trend cloudbooltrueshowTrendCloud
Trend Cloud StylestringSmoothperiodTrendCloud
Smart PanelbooltrueshowDashboard
Table LocationstringBottom RightlocationDashboard
Table SizestringSmallsizeDashboard
Dynamic Take Profit LablesbooltruetpLabels
Show take Profit/Stop-loss AreabooltrueShowTpSlAreas
Show trailing Stop-lossboolfalseShowTrailingSL
SL/TRAILINGboolfalseusePercSL
percTrailingSLfloat1percTrailingSL
useTP1booltrueuseTP1
TP 1float1multTP1
useTP2booltrueuseTP2
TP 2           float2multTP2
useTP3booltrueuseTP3
TP 3float3multTP3
Show Market Structure      boolfalseShowSwings
        int10periodSwings
Lengthint50length
Smoothing Factor   int30SSF
OBint60CSFSELL
OSint40CSFBUY
Buy Signal   boolfalseNormalbuy_alert
Strong BuyboolfalseStrongbuy_alert
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.

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