Micha Stokes Buyers Breakout Alert v2Buyer Breakout Rules (Word Definition)
The alert is triggered when ALL conditions in Section 1 and Section 3 are met, AND one of the two Scenarios in Section 2 is met.
1. The Setup and Breakout (The Initial Requirement)
Price Action: The closing price of the current candle must break above the highest resistance level established during the recent period of flat trading (the setup).
2. The Confirmation (Scenario A OR Scenario B)
The breakout must be accompanied by evidence of buying strength:
Scenario A: High-Conviction Breakout (Immediate Demand)
The current candle is GREEN (it closed higher than it opened).
AND the volume is HIGHER than the volume of the previous candle.
Scenario B: Seller-Exhaustion Breakout (Micha Stokes' Unique Signal)
The current candle is GREEN (it closed higher than it opened).
AND the volume is LOWER than the volume of the previous candle. (This means the price rose without much seller resistance.)
3. The Strength Filter (Conviction Check)
The candle must close near its high, showing that buyers maintained control and didn't face significant selling pressure immediately after the breakout.
Pattern grafici
EMA Cloud5 EMA works as a single indicator.
You can see 8-21-55-100-200 EMAs all together in one indicator.
There is also a cloud between the 8 and 21 EMA. When the 8 EMA is above the 21 EMA, the cloud appears green. When the 21 EMA is above the 8 EMA, the cloud appears red.
Alchemist Ranges By KousickAlchemist Ranges By Kousick
A Indicator For Alchemist Ranges and How He Trades in time
Important Cracked Levels This indicator shows you all the levels from the previous day and the premarket. This is all you really need
amir Liquidity Sweeps [amir]this indicator is from luxalgon i think this is the code that made this incdicator never get destroyed by aanyone
9:00-9:59 NY Range -> 10:00-11:00 Lines (v6)//@version=6
indicator("9:00-9:59 NY Range -> 10:00-11:00 Lines (v6)", overlay=true, max_lines_count=500)
// --- state vars ---
var float sessionHigh = na
var float sessionLow = na
var line hiLine = na
var line loLine = na
var line v10 = na
var line v11 = na
// --- New York time ---
t_ny = time("America/New_York")
hr = hour(t_ny)
mn = minute(t_ny)
// --- reset / clear at 16:00 (4 PM NY) ---
if hr == 16 and mn == 0
sessionHigh := na
sessionLow := na
if not na(hiLine)
line.delete(hiLine)
hiLine := na
if not na(loLine)
line.delete(loLine)
loLine := na
if not na(v10)
line.delete(v10)
v10 := na
if not na(v11)
line.delete(v11)
v11 := na
// --- accumulate 9:00 - 9:59 NY range ---
if hr == 9
if mn == 0
sessionHigh := high
sessionLow := low
else
sessionHigh := na(sessionHigh) ? high : math.max(sessionHigh, high)
sessionLow := na(sessionLow) ? low : math.min(sessionLow, low)
// --- at 10:00 NY: draw horizontal lines (start) and vertical dashed at 10:00 ---
if hr == 10 and mn == 0
// delete previous day's horizontal lines if any
if not na(hiLine)
line.delete(hiLine)
hiLine := na
if not na(loLine)
line.delete(loLine)
loLine := na
hiLine := line.new(bar_index, sessionHigh, bar_index, sessionHigh, color=color.red, width=1, extend=extend.none)
loLine := line.new(bar_index, sessionLow, bar_index, sessionLow, color=color.red, width=1, extend=extend.none)
if not na(v10)
line.delete(v10)
v10 := na
v10 := line.new(bar_index, low, bar_index, high, color=color.red, width=1, style=line.style_dashed)
// --- at 11:00 NY: draw vertical dashed at 11:00 ---
if hr == 11 and mn == 0
if not na(v11)
line.delete(v11)
v11 := na
v11 := line.new(bar_index, low, bar_index, high, color=color.red, width=1, style=line.style_dashed)
// --- extend the horizontal lines forward every bar, but only until 11:00 ---
if hr < 11
if not na(hiLine)
line.set_x2(hiLine, bar_index)
if not na(loLine)
line.set_x2(loLine, bar_index)
// --- required output so script compiles (hidden) ---
plot(na)
30m Hollow Candle on 5m - SSThis indicator overlays 30-minute candles on a 5-minute chart using clean, hollow-style higher-timeframe (HTF) candles.
The design keeps your chart readable while giving you full insight into the 30m structure that drives intraday price movements.
Each 30-minute candle is drawn as a transparent, hollow outline, so your 5-minute candles remain perfectly visible. The indicator preserves all candle characteristics:
Wicks (high & low)
Open/close levels
Color-coded direction (green = bullish, red = bearish)
Invisible body to avoid overlapping or chart clutter
This tool allows intraday traders to track 30m market structure without constantly switching timeframes.
1h Hollow Candle on 5m - SSThis indicator displays 1-hour candles on a 5-minute chart using a clean, minimal visual style designed for intraday traders who want to track higher-timeframe structure without cluttering the chart.
The higher-timeframe (HTF) candles are drawn as hollow outlines, which makes them easy to read while keeping the underlying 5-minute price action fully visible. Each 1-hour candle includes:
Wicks (high & low)
Open/close borders
Color-coded direction (green = bullish, red = bearish)
Transparent body so they never block real candles
This is ideal for traders who want to:
Identify HTF structure during scalping
Spot key reversals inside hourly candles
Track premium/discount zones relative to each 1h candle
Improve top-down analysis without switching timeframes
9/15 EMA Scalper 9/15 EMA Scalper — by uzairbaloch
This script is a price-action based scalping system built around the 9 EMA and 15 EMA trend structure.
It identifies short-term reversal points where the market pulls back into the EMAs and confirms direction with a strong candle signal.
The strategy looks for:
• A clear EMA trend (9 above 15 for buys, 9 below 15 for sells)
• Pullback into EMA9/EMA15 with candle bodies touching the fast EMA
• Strong confirmation candle (engulfing / strong momentum / controlled wick)
• Optional slope filter to avoid flat, choppy sessions
• Automatic trade labels showing Entry, SL and TP (based on R:R)
The script is designed for scalping on gold, indices, and high-volatility FX pairs.
It resets trade logic immediately after SL or TP is hit, so it can catch the next valid signal without delay.
This tool is meant as an indicator — not a full strategy — and can be used to visually mark high-probability EMA pullback setups with precise levels.
Author: uzairbaloch
Advanced Elliott Wave PlotterAdvanced Elliott Wave plotter, Parameters can be adjusted.
AI Generated, so no particular credits to anyone.
Forward Returns – (Next Month Start)This indicator calculates 1-month, 3-month, 6-month, and 12-month forward returns starting from the first trading day of the month following a defined price event.
A price event occurs when the selected asset drops below a user-defined threshold over a chosen timeframe (Day, Week, or Month).
For monthly conditions, the script evaluates the entire performance of the previous calendar month and triggers the event only at the first trading session of the next month, ensuring accurate forward-return alignment with historical monthly cycles.
The forward returns for each detected event are displayed in a paginated performance table, allowing users to navigate through large datasets using a page selector. Each page includes:
Entry Date
Forward returns (1M, 3M, 6M, 12M)
Average forward return
Win rate (percentage of positive outcomes)
This tool is useful for studying historical performance after major drawdowns, identifying seasonal patterns, and building evidence-based risk-management or timing models.
AI Signals: Blue-Chip Dip Scanner//@version=5
indicator("AI Signals: Blue-Chip Dip Scanner", overlay=true)
//-------------------------//
// SETTINGS //
//-------------------------//
lengthRSI = input.int(14, "RSI Length")
rsiOversold = input.int(30, "RSI Oversold")
rsiOverbought = input.int(70, "RSI Overbought")
//-------------------------//
// CALCULATIONS //
//-------------------------//
rsi = ta.rsi(close, lengthRSI)
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
//-------------------------//
// CONDITIONS //
//-------------------------//
dip = ta.crossunder(close, ema50) and rsi < rsiOversold
//-------------------------//
// SIGNALS //
//-------------------------//
buySignal = dip
plotshape(buySignal, title="Buy Dip", style=shape.labelup,
color=color.green, text="BUY", size=size.small, location=location.belowbar)
//-------------------------//
// ALERTS //
//-------------------------//
alert_msg = '{"symbol":"{{ticker}}","price":"{{close}}"}'
alertcondition(buySignal, title="AI Buy Dip Signal", message=alert_msg)
Bull & Bear Candle By Background ColorThe essential chart overlay for high-speed momentum confirmation.
This professional-grade Pine Script v5 indicator provides instant, unfiltered visual feedback on the market's immediate bias by coloring the chart background based on the short-term relationship between Close and Open. It’s designed to streamline decision-making and enhance trade conviction.
Why Traders Use This Tool
In dynamic markets, reading momentum rapidly is critical. This indicator removes visual clutter and cognitive lag.
Zero-Lag Momentum Filter: Instantly identifies if control belongs to buyers (Close > Open) or sellers (Close < Open). A sustained background color acts as a directional bias filter for all your setups.
Trade Confirmation & Conviction: Use the background color as a high-level confluence factor. Only execute Long trades when the background is Bullish and Short trades when it is Bearish. This drastically reduces counter-trend entries.
Risk Management Signal: The appearance of the Neutral/Doji Color flags market equilibrium and consolidation, often preceding a critical structural shift. This is your immediate signal to tighten stops or prepare for a potential reversal setup.
Dual Confirmation: The script offers a highly requested feature: Bar Coloring layered atop the background to provide a second, granular layer of visual context, making momentum shifts impossible to miss.
⚙️ Key Features & Settings Usage
All settings are optimized for clarity, using high transparency to prevent the indicator from obscuring underlying price action or other analytical tools.
🎨 Background Color Settings (Primary)
These controls allow you to define the market state you are reading:
1. Background: Bullish Color: Confirms short-term buying pressure (Close > Open). Set a distinct color for confirmed upward momentum.
2. Background: Bearish Color: Confirms short-term selling pressure (Close < Open). Set a high-contrast color for immediate recognition of downward pressure.
3. Background: Neutral/Doji Color: Signals market indecision (Close ≈ Open). Use as a caution flag, highlighting pivot points and ranging periods.
✨ Added Feature: Bar Coloring
4. FEATURE: Enable Bar Coloring: When enabled, the individual candles are colored with a lighter hue matching the background. This provides dual visual confirmation, maximizing impact on lower timeframes where momentum flips quickly.
🧭 How to Achieve Confluence
Entry Filter: Wait for the background color to flip to your desired direction, then seek your primary entry signal (e.g., breakout, pullback, or MACD cross).
Trade Hold: As long as the background color remains consistent, the short-term momentum is confirmed, justifying the continuation of your trade.
Exit Signal: A flip to the Neutral/Doji Color should be treated as a warning shot, signaling a mandatory review of your position and stops.
Disclaimer: This indicator is a powerful visual and confirmation tool and does not generate buy/sell signals on its own. It is designed to be used in conjunction with your established trading strategy and comprehensive risk management principles
Kripto Fema ind/ This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Femayakup
//@version=5
indicator(title = "Kripto Fema ind", shorttitle="Kripto Fema ind", overlay=true, format=format.price, precision=2,max_lines_count = 500, max_labels_count = 500, max_bars_back=500)
showEma200 = input(true, title="EMA 200")
showPmax = input(true, title="Pmax")
showLinreg = input(true, title="Linreg")
showMavilim = input(true, title="Mavilim")
showNadaray = input(true, title="Nadaraya Watson")
ma(source, length, type) =>
switch type
"SMA" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
//Ema200
timeFrame = input.timeframe(defval = '240',title= 'EMA200 TimeFrame',group = 'EMA200 Settings')
len200 = input.int(200, minval=1, title="Length",group = 'EMA200 Settings')
src200 = input(close, title="Source",group = 'EMA200 Settings')
offset200 = input.int(title="Offset", defval=0, minval=-500, maxval=500,group = 'EMA200 Settings')
out200 = ta.ema(src200, len200)
higherTimeFrame = request.security(syminfo.tickerid,timeFrame,out200 ,barmerge.gaps_on,barmerge.lookahead_on)
ema200Plot = showEma200 ? higherTimeFrame : na
plot(ema200Plot, title="EMA200", offset=offset200)
//Linreq
group1 = "Linreg Settings"
lengthInput = input.int(100, title="Length", minval = 1, maxval = 5000,group = group1)
sourceInput = input.source(close, title="Source")
useUpperDevInput = input.bool(true, title="Upper Deviation", inline = "Upper Deviation", group = group1)
upperMultInput = input.float(2.0, title="", inline = "Upper Deviation", group = group1)
useLowerDevInput = input.bool(true, title="Lower Deviation", inline = "Lower Deviation", group = group1)
lowerMultInput = input.float(2.0, title="", inline = "Lower Deviation", group = group1)
group2 = "Linreg Display Settings"
showPearsonInput = input.bool(true, "Show Pearson's R", group = group2)
extendLeftInput = input.bool(false, "Extend Lines Left", group = group2)
extendRightInput = input.bool(true, "Extend Lines Right", group = group2)
extendStyle = switch
extendLeftInput and extendRightInput => extend.both
extendLeftInput => extend.left
extendRightInput => extend.right
=> extend.none
group3 = "Linreg Color Settings"
colorUpper = input.color(color.new(color.blue, 85), "Linreg Renk", inline = group3, group = group3)
colorLower = input.color(color.new(color.red, 85), "", inline = group3, group = group3)
calcSlope(source, length) =>
max_bars_back(source, 5000)
if not barstate.islast or length <= 1
else
sumX = 0.0
sumY = 0.0
sumXSqr = 0.0
sumXY = 0.0
for i = 0 to length - 1 by 1
val = source
per = i + 1.0
sumX += per
sumY += val
sumXSqr += per * per
sumXY += val * per
slope = (length * sumXY - sumX * sumY) / (length * sumXSqr - sumX * sumX)
average = sumY / length
intercept = average - slope * sumX / length + slope
= calcSlope(sourceInput, lengthInput)
startPrice = i + s * (lengthInput - 1)
endPrice = i
var line baseLine = na
if na(baseLine) and not na(startPrice) and showLinreg
baseLine := line.new(bar_index - lengthInput + 1, startPrice, bar_index, endPrice, width=1, extend=extendStyle, color=color.new(colorLower, 0))
else
line.set_xy1(baseLine, bar_index - lengthInput + 1, startPrice)
line.set_xy2(baseLine, bar_index, endPrice)
na
calcDev(source, length, slope, average, intercept) =>
upDev = 0.0
dnDev = 0.0
stdDevAcc = 0.0
dsxx = 0.0
dsyy = 0.0
dsxy = 0.0
periods = length - 1
daY = intercept + slope * periods / 2
val = intercept
for j = 0 to periods by 1
price = high - val
if price > upDev
upDev := price
price := val - low
if price > dnDev
dnDev := price
price := source
dxt = price - average
dyt = val - daY
price -= val
stdDevAcc += price * price
dsxx += dxt * dxt
dsyy += dyt * dyt
dsxy += dxt * dyt
val += slope
stdDev = math.sqrt(stdDevAcc / (periods == 0 ? 1 : periods))
pearsonR = dsxx == 0 or dsyy == 0 ? 0 : dsxy / math.sqrt(dsxx * dsyy)
= calcDev(sourceInput, lengthInput, s, a, i)
upperStartPrice = startPrice + (useUpperDevInput ? upperMultInput * stdDev : upDev)
upperEndPrice = endPrice + (useUpperDevInput ? upperMultInput * stdDev : upDev)
var line upper = na
lowerStartPrice = startPrice + (useLowerDevInput ? -lowerMultInput * stdDev : -dnDev)
lowerEndPrice = endPrice + (useLowerDevInput ? -lowerMultInput * stdDev : -dnDev)
var line lower = na
if na(upper) and not na(upperStartPrice) and showLinreg
upper := line.new(bar_index - lengthInput + 1, upperStartPrice, bar_index, upperEndPrice, width=1, extend=extendStyle, color=color.new(colorUpper, 0))
else
line.set_xy1(upper, bar_index - lengthInput + 1, upperStartPrice)
line.set_xy2(upper, bar_index, upperEndPrice)
na
if na(lower) and not na(lowerStartPrice) and showLinreg
lower := line.new(bar_index - lengthInput + 1, lowerStartPrice, bar_index, lowerEndPrice, width=1, extend=extendStyle, color=color.new(colorUpper, 0))
else
line.set_xy1(lower, bar_index - lengthInput + 1, lowerStartPrice)
line.set_xy2(lower, bar_index, lowerEndPrice)
na
showLinregPlotUpper = showLinreg ? upper : na
showLinregPlotLower = showLinreg ? lower : na
showLinregPlotBaseLine = showLinreg ? baseLine : na
linefill.new(showLinregPlotUpper, showLinregPlotBaseLine, color = colorUpper)
linefill.new(showLinregPlotBaseLine, showLinregPlotLower, color = colorLower)
// Pearson's R
var label r = na
label.delete(r )
if showPearsonInput and not na(pearsonR) and showLinreg
r := label.new(bar_index - lengthInput + 1, lowerStartPrice, str.tostring(pearsonR, "#.################"), color = color.new(color.white, 100), textcolor=color.new(colorUpper, 0), size=size.normal, style=label.style_label_up)
//Mavilim
group4 = "Mavilim Settings"
mavilimold = input(false, title="Show Previous Version of MavilimW?",group=group4)
fmal=input(3,"First Moving Average length",group = group4)
smal=input(5,"Second Moving Average length",group = group4)
tmal=fmal+smal
Fmal=smal+tmal
Ftmal=tmal+Fmal
Smal=Fmal+Ftmal
M1= ta.wma(close, fmal)
M2= ta.wma(M1, smal)
M3= ta.wma(M2, tmal)
M4= ta.wma(M3, Fmal)
M5= ta.wma(M4, Ftmal)
MAVW= ta.wma(M5, Smal)
col1= MAVW>MAVW
col3= MAVWpmaxsrc ? pmaxsrc-pmaxsrc : 0
vdd1=pmaxsrc
ma = 0.0
if mav == "SMA"
ma := ta.sma(pmaxsrc, length)
ma
if mav == "EMA"
ma := ta.ema(pmaxsrc, length)
ma
if mav == "WMA"
ma := ta.wma(pmaxsrc, length)
ma
if mav == "TMA"
ma := ta.sma(ta.sma(pmaxsrc, math.ceil(length / 2)), math.floor(length / 2) + 1)
ma
if mav == "VAR"
ma := VAR
ma
if mav == "WWMA"
ma := WWMA
ma
if mav == "ZLEMA"
ma := ZLEMA
ma
if mav == "TSF"
ma := TSF
ma
ma
MAvg=getMA(pmaxsrc, length)
longStop = Normalize ? MAvg - Multiplier*atr/close : MAvg - Multiplier*atr
longStopPrev = nz(longStop , longStop)
longStop := MAvg > longStopPrev ? math.max(longStop, longStopPrev) : longStop
shortStop = Normalize ? MAvg + Multiplier*atr/close : MAvg + Multiplier*atr
shortStopPrev = nz(shortStop , shortStop)
shortStop := MAvg < shortStopPrev ? math.min(shortStop, shortStopPrev) : shortStop
dir = 1
dir := nz(dir , dir)
dir := dir == -1 and MAvg > shortStopPrev ? 1 : dir == 1 and MAvg < longStopPrev ? -1 : dir
PMax = dir==1 ? longStop: shortStop
plot(showsupport ? MAvg : na, color=#fbff04, linewidth=2, title="EMA9")
pALL=plot(PMax, color=color.new(color.red, transp = 0), linewidth=2, title="PMax")
alertcondition(ta.cross(MAvg, PMax), title="Cross Alert", message="PMax - Moving Avg Crossing!")
alertcondition(ta.crossover(MAvg, PMax), title="Crossover Alarm", message="Moving Avg BUY SIGNAL!")
alertcondition(ta.crossunder(MAvg, PMax), title="Crossunder Alarm", message="Moving Avg SELL SIGNAL!")
alertcondition(ta.cross(pmaxsrc, PMax), title="Price Cross Alert", message="PMax - Price Crossing!")
alertcondition(ta.crossover(pmaxsrc, PMax), title="Price Crossover Alarm", message="PRICE OVER PMax - BUY SIGNAL!")
alertcondition(ta.crossunder(pmaxsrc, PMax), title="Price Crossunder Alarm", message="PRICE UNDER PMax - SELL SIGNAL!")
buySignalk = ta.crossover(MAvg, PMax)
plotshape(buySignalk and showsignalsk ? PMax*0.995 : na, title="Buy", text="Buy", location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(color.green, transp = 0), textcolor=color.white)
sellSignallk = ta.crossunder(MAvg, PMax)
plotshape(sellSignallk and showsignalsk ? PMax*1.005 : na, title="Sell", text="Sell", location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(color.red, transp = 0), textcolor=color.white)
// buySignalc = ta.crossover(pmaxsrc, PMax)
// plotshape(buySignalc and showsignalsc ? PMax*0.995 : na, title="Buy", text="Buy", location=location.absolute, style=shape.labelup, size=size.tiny, color=#0F18BF, textcolor=color.white)
// sellSignallc = ta.crossunder(pmaxsrc, PMax)
// plotshape(sellSignallc and showsignalsc ? PMax*1.005 : na, title="Sell", text="Sell", location=location.absolute, style=shape.labeldown, size=size.tiny, color=#0F18BF, textcolor=color.white)
// mPlot = plot(ohlc4, title="", style=plot.style_circles, linewidth=0,display=display.none)
longFillColor = highlighting ? (MAvg>PMax ? color.new(color.green, transp = 90) : na) : na
shortFillColor = highlighting ? (MAvg math.exp(-(math.pow(x, 2)/(h * h * 2)))
//-----------------------------------------------------------------------------}
//Append lines
//-----------------------------------------------------------------------------{
n = bar_index
var ln = array.new_line(0)
if barstate.isfirst and repaint
for i = 0 to 499
array.push(ln,line.new(na,na,na,na))
//-----------------------------------------------------------------------------}
//End point method
//-----------------------------------------------------------------------------{
var coefs = array.new_float(0)
var den = 0.
if barstate.isfirst and not repaint
for i = 0 to 499
w = gauss(i, h)
coefs.push(w)
den := coefs.sum()
out = 0.
if not repaint
for i = 0 to 499
out += src * coefs.get(i)
out /= den
mae = ta.sma(math.abs(src - out), 499) * mult
upperN = out + mae
lowerN = out - mae
//-----------------------------------------------------------------------------}
//Compute and display NWE
//-----------------------------------------------------------------------------{
float y2 = na
float y1 = na
nwe = array.new(0)
if barstate.islast and repaint
sae = 0.
//Compute and set NWE point
for i = 0 to math.min(499,n - 1)
sum = 0.
sumw = 0.
//Compute weighted mean
for j = 0 to math.min(499,n - 1)
w = gauss(i - j, h)
sum += src * w
sumw += w
y2 := sum / sumw
sae += math.abs(src - y2)
nwe.push(y2)
sae := sae / math.min(499,n - 1) * mult
for i = 0 to math.min(499,n - 1)
if i%2 and showNadaray
line.new(n-i+1, y1 + sae, n-i, nwe.get(i) + sae, color = upCss)
line.new(n-i+1, y1 - sae, n-i, nwe.get(i) - sae, color = dnCss)
if src > nwe.get(i) + sae and src < nwe.get(i) + sae and showNadaray
label.new(n-i, src , '▼', color = color(na), style = label.style_label_down, textcolor = dnCss, textalign = text.align_center)
if src < nwe.get(i) - sae and src > nwe.get(i) - sae and showNadaray
label.new(n-i, src , '▲', color = color(na), style = label.style_label_up, textcolor = upCss, textalign = text.align_center)
y1 := nwe.get(i)
//-----------------------------------------------------------------------------}
//Dashboard
//-----------------------------------------------------------------------------{
var tb = table.new(position.top_right, 1, 1
, bgcolor = #1e222d
, border_color = #373a46
, border_width = 1
, frame_color = #373a46
, frame_width = 1)
if repaint
tb.cell(0, 0, 'Repainting Mode Enabled', text_color = color.white, text_size = size.small)
//-----------------------------------------------------------------------------}
//Plot
//-----------------------------------------------------------------------------}
// plot(repaint ? na : out + mae, 'Upper', upCss)
// plot(repaint ? na : out - mae, 'Lower', dnCss)
//Crossing Arrows
// plotshape(ta.crossunder(close, out - mae) ? low : na, "Crossunder", shape.labelup, location.absolute, color(na), 0 , text = '▲', textcolor = upCss, size = size.tiny)
// plotshape(ta.crossover(close, out + mae) ? high : na, "Crossover", shape.labeldown, location.absolute, color(na), 0 , text = '▼', textcolor = dnCss, size = size.tiny)
//-----------------------------------------------------------------------------}
//////////////////////////////////////////////////////////////////////////////////
enableD = input (true, "DIVERGANCE ON/OFF" , group="INDICATORS ON/OFF")
//DIVERGANCE
prd1 = input.int (defval=5 , title='PIVOT PERIOD' , minval=1, maxval=50 , group="DIVERGANCE")
source = input.string(defval='HIGH/LOW' , title='SOURCE FOR PIVOT POINTS' , options= , group="DIVERGANCE")
searchdiv = input.string(defval='REGULAR/HIDDEN', title='DIVERGANCE TYPE' , options= , group="DIVERGANCE")
showindis = input.string(defval='FULL' , title='SHOW INDICATORS NAME' , options= , group="DIVERGANCE")
showlimit = input.int(1 , title='MINIMUM NUMBER OF DIVERGANCES', minval=1, maxval=11 , group="DIVERGANCE")
maxpp = input.int (defval=20 , title='MAXIMUM PIVOT POINTS TO CHECK', minval=1, maxval=20 , group="DIVERGANCE")
maxbars = input.int (defval=200 , title='MAXIMUM BARS TO CHECK' , minval=30, maxval=200 , group="DIVERGANCE")
showlast = input (defval=false , title='SHOW ONLY LAST DIVERGANCE' , group="DIVERGANCE")
dontconfirm = input (defval=false , title="DON'T WAIT FOR CONFORMATION" , group="DIVERGANCE")
showlines = input (defval=false , title='SHOW DIVERGANCE LINES' , group="DIVERGANCE")
showpivot = input (defval=false , title='SHOW PIVOT POINTS' , group="DIVERGANCE")
calcmacd = input (defval=true , title='MACD' , group="DIVERGANCE")
calcmacda = input (defval=true , title='MACD HISTOGRAM' , group="DIVERGANCE")
calcrsi = input (defval=true , title='RSI' , group="DIVERGANCE")
calcstoc = input (defval=true , title='STOCHASTIC' , group="DIVERGANCE")
calccci = input (defval=true , title='CCI' , group="DIVERGANCE")
calcmom = input (defval=true , title='MOMENTUM' , group="DIVERGANCE")
calcobv = input (defval=true , title='OBV' , group="DIVERGANCE")
calcvwmacd = input (true , title='VWMACD' , group="DIVERGANCE")
calccmf = input (true , title='CHAIKIN MONEY FLOW' , group="DIVERGANCE")
calcmfi = input (true , title='MONEY FLOW INDEX' , group="DIVERGANCE")
calcext = input (false , title='CHECK EXTERNAL INDICATOR' , group="DIVERGANCE")
externalindi = input (defval=close , title='EXTERNAL INDICATOR' , group="DIVERGANCE")
pos_reg_div_col = input (defval=#ffffff , title='POSITIVE REGULAR DIVERGANCE' , group="DIVERGANCE")
neg_reg_div_col = input (defval=#00def6 , title='NEGATIVE REGULAR DIVERGANCE' , group="DIVERGANCE")
pos_hid_div_col = input (defval=#00ff0a , title='POSITIVE HIDDEN DIVERGANCE' , group="DIVERGANCE")
neg_hid_div_col = input (defval=#ff0015 , title='NEGATIVE HIDDEN DIVERGANCE' , group="DIVERGANCE")
reg_div_l_style_ = input.string(defval='SOLID' , title='REGULAR DIVERGANCE LINESTYLE' , options= , group="DIVERGANCE")
hid_div_l_style_ = input.string(defval='SOLID' , title='HIDDEN DIVERGANCE LINESTYLE' , options= , group="DIVERGANCE")
reg_div_l_width = input.int (defval=2 , title='REGULAR DIVERGANCE LINEWIDTH' , minval=1, maxval=5 , group="DIVERGANCE")
hid_div_l_width = input.int (defval=2 , title='HIDDEN DIVERGANCE LINEWIDTH' , minval=1, maxval=5 , group="DIVERGANCE")
showmas = input.bool (defval=false , title='SHOW MOVING AVERAGES (50 & 200)', inline='MA' , group="DIVERGANCE")
cma1col = input.color (defval=#ffffff , title='' , inline='MA' , group="DIVERGANCE")
cma2col = input.color (defval=#00def6 , title='' , inline='MA' , group="DIVERGANCE")
//PLOTS
plot(showmas ? ta.sma(close, 50) : na, color=showmas ? cma1col : na)
plot(showmas ? ta.sma(close, 200) : na, color=showmas ? cma2col : na)
var reg_div_l_style = reg_div_l_style_ == 'SOLID' ? line.style_solid : reg_div_l_style_ == 'DASHED' ? line.style_dashed : line.style_dotted
var hid_div_l_style = hid_div_l_style_ == 'SOLID' ? line.style_solid : hid_div_l_style_ == 'DASHED' ? line.style_dashed : line.style_dotted
rsi = ta.rsi(close, 14)
= ta.macd(close, 12, 26, 9)
moment = ta.mom(close, 10)
cci = ta.cci(close, 10)
Obv = ta.obv
stk = ta.sma(ta.stoch(close, high, low, 14), 3)
maFast = ta.vwma(close, 12)
maSlow = ta.vwma(close, 26)
vwmacd = maFast - maSlow
Cmfm = (close - low - (high - close)) / (high - low)
Cmfv = Cmfm * volume
cmf = ta.sma(Cmfv, 21) / ta.sma(volume, 21)
Mfi = ta.mfi(close, 14)
var indicators_name = array.new_string(11)
var div_colors = array.new_color(4)
if barstate.isfirst and enableD
array.set(indicators_name, 0, showindis == "DON'T SHOW" ? '' : '')
array.set(indicators_name, 1, showindis == "DON'T SHOW" ? '' : '')
array.set(indicators_name, 2, showindis == "DON'T SHOW" ? '' : '')
array.set(indicators_name, 3, showindis == "DON'T SHOW" ? '' : '')
array.set(indicators_name, 4, showindis == "DON'T SHOW" ? '' : '')
array.set(indicators_name, 5, showindis == "DON'T SHOW" ? '' : '')
array.set(indicators_name, 6, showindis == "DON'T SHOW" ? '' : '')
array.set(indicators_name, 7, showindis == "DON'T SHOW" ? '' : '')
array.set(indicators_name, 8, showindis == "DON'T SHOW" ? '' : '')
array.set(indicators_name, 9, showindis == "DON'T SHOW" ? '' : '')
array.set(indicators_name, 10, showindis == "DON'T SHOW" ? '' : '')
array.set(div_colors, 0, pos_reg_div_col)
array.set(div_colors, 1, neg_reg_div_col)
array.set(div_colors, 2, pos_hid_div_col)
array.set(div_colors, 3, neg_hid_div_col)
float ph1 = ta.pivothigh(source == 'CLOSE' ? close : high, prd1, prd1)
float pl1 = ta.pivotlow(source == 'CLOSE' ? close : low, prd1, prd1)
plotshape(ph1 and showpivot, text='H', style=shape.labeldown, color=color.new(color.white, 100), textcolor=#00def6, location=location.abovebar, offset=-prd1)
plotshape(pl1 and showpivot, text='L', style=shape.labelup, color=color.new(color.white, 100), textcolor=#ffffff, location=location.belowbar, offset=-prd1)
var int maxarraysize = 20
var ph_positions = array.new_int(maxarraysize, 0)
var pl_positions = array.new_int(maxarraysize, 0)
var ph_vals = array.new_float(maxarraysize, 0.)
var pl_vals = array.new_float(maxarraysize, 0.)
if ph1
array.unshift(ph_positions, bar_index)
array.unshift(ph_vals, ph1)
if array.size(ph_positions) > maxarraysize
array.pop(ph_positions)
array.pop(ph_vals)
if pl1
array.unshift(pl_positions, bar_index)
array.unshift(pl_vals, pl1)
if array.size(pl_positions) > maxarraysize
array.pop(pl_positions)
array.pop(pl_vals)
positive_regular_positive_hidden_divergence(src, cond) =>
divlen = 0
prsc = source == 'CLOSE' ? close : low
if dontconfirm or src > src or close > close
startpoint = dontconfirm ? 0 : 1
for x = 0 to maxpp - 1 by 1
len = bar_index - array.get(pl_positions, x) + prd1
if array.get(pl_positions, x) == 0 or len > maxbars
break
if len > 5 and (cond == 1 and src > src and prsc < nz(array.get(pl_vals, x)) or cond == 2 and src < src and prsc > nz(array.get(pl_vals, x)))
slope1 = (src - src ) / (len - startpoint)
virtual_line1 = src - slope1
slope2 = (close - close ) / (len - startpoint)
virtual_line2 = close - slope2
arrived = true
for y = 1 + startpoint to len - 1 by 1
if src < virtual_line1 or nz(close ) < virtual_line2
arrived := false
break
virtual_line1 -= slope1
virtual_line2 -= slope2
virtual_line2
if arrived
divlen := len
break
divlen
negative_regular_negative_hidden_divergence(src, cond) =>
divlen = 0
prsc = source == 'CLOSE' ? close : high
if dontconfirm or src < src or close < close
startpoint = dontconfirm ? 0 : 1
for x = 0 to maxpp - 1 by 1
len = bar_index - array.get(ph_positions, x) + prd1
if array.get(ph_positions, x) == 0 or len > maxbars
break
if len > 5 and (cond == 1 and src < src and prsc > nz(array.get(ph_vals, x)) or cond == 2 and src > src and prsc < nz(array.get(ph_vals, x)))
slope1 = (src - src ) / (len - startpoint)
virtual_line1 = src - slope1
slope2 = (close - nz(close )) / (len - startpoint)
virtual_line2 = close - slope2
arrived = true
for y = 1 + startpoint to len - 1 by 1
if src > virtual_line1 or nz(close ) > virtual_line2
arrived := false
break
virtual_line1 -= slope1
virtual_line2 -= slope2
virtual_line2
if arrived
divlen := len
break
divlen
//CALCULATIONS
calculate_divs(cond, indicator_1) =>
divs = array.new_int(4, 0)
array.set(divs, 0, cond and (searchdiv == 'REGULAR' or searchdiv == 'REGULAR/HIDDEN') ? positive_regular_positive_hidden_divergence(indicator_1, 1) : 0)
array.set(divs, 1, cond and (searchdiv == 'REGULAR' or searchdiv == 'REGULAR/HIDDEN') ? negative_regular_negative_hidden_divergence(indicator_1, 1) : 0)
array.set(divs, 2, cond and (searchdiv == 'HIDDEN' or searchdiv == 'REGULAR/HIDDEN') ? positive_regular_positive_hidden_divergence(indicator_1, 2) : 0)
array.set(divs, 3, cond and (searchdiv == 'HIDDEN' or searchdiv == 'REGULAR/HIDDEN') ? negative_regular_negative_hidden_divergence(indicator_1, 2) : 0)
divs
var all_divergences = array.new_int(44)
array_set_divs(div_pointer, index) =>
for x = 0 to 3 by 1
array.set(all_divergences, index * 4 + x, array.get(div_pointer, x))
array_set_divs(calculate_divs(calcmacd , macd) , 0)
array_set_divs(calculate_divs(calcmacda , deltamacd) , 1)
array_set_divs(calculate_divs(calcrsi , rsi) , 2)
array_set_divs(calculate_divs(calcstoc , stk) , 3)
array_set_divs(calculate_divs(calccci , cci) , 4)
array_set_divs(calculate_divs(calcmom , moment) , 5)
array_set_divs(calculate_divs(calcobv , Obv) , 6)
array_set_divs(calculate_divs(calcvwmacd, vwmacd) , 7)
array_set_divs(calculate_divs(calccmf , cmf) , 8)
array_set_divs(calculate_divs(calcmfi , Mfi) , 9)
array_set_divs(calculate_divs(calcext , externalindi), 10)
total_div = 0
for x = 0 to array.size(all_divergences) - 1 by 1
total_div += math.round(math.sign(array.get(all_divergences, x)))
total_div
if total_div < showlimit
array.fill(all_divergences, 0)
var pos_div_lines = array.new_line(0)
var neg_div_lines = array.new_line(0)
var pos_div_labels = array.new_label(0)
var neg_div_labels = array.new_label(0)
delete_old_pos_div_lines() =>
if array.size(pos_div_lines) > 0
for j = 0 to array.size(pos_div_lines) - 1 by 1
line.delete(array.get(pos_div_lines, j))
array.clear(pos_div_lines)
delete_old_neg_div_lines() =>
if array.size(neg_div_lines) > 0
for j = 0 to array.size(neg_div_lines) - 1 by 1
line.delete(array.get(neg_div_lines, j))
array.clear(neg_div_lines)
delete_old_pos_div_labels() =>
if array.size(pos_div_labels) > 0
for j = 0 to array.size(pos_div_labels) - 1 by 1
label.delete(array.get(pos_div_labels, j))
array.clear(pos_div_labels)
delete_old_neg_div_labels() =>
if array.size(neg_div_labels) > 0
for j = 0 to array.size(neg_div_labels) - 1 by 1
label.delete(array.get(neg_div_labels, j))
array.clear(neg_div_labels)
delete_last_pos_div_lines_label(n) =>
if n > 0 and array.size(pos_div_lines) >= n
asz = array.size(pos_div_lines)
for j = 1 to n by 1
line.delete(array.get(pos_div_lines, asz - j))
array.pop(pos_div_lines)
if array.size(pos_div_labels) > 0
label.delete(array.get(pos_div_labels, array.size(pos_div_labels) - 1))
array.pop(pos_div_labels)
delete_last_neg_div_lines_label(n) =>
if n > 0 and array.size(neg_div_lines) >= n
asz = array.size(neg_div_lines)
for j = 1 to n by 1
line.delete(array.get(neg_div_lines, asz - j))
array.pop(neg_div_lines)
if array.size(neg_div_labels) > 0
label.delete(array.get(neg_div_labels, array.size(neg_div_labels) - 1))
array.pop(neg_div_labels)
pos_reg_div_detected = false
neg_reg_div_detected = false
pos_hid_div_detected = false
neg_hid_div_detected = false
var last_pos_div_lines = 0
var last_neg_div_lines = 0
var remove_last_pos_divs = false
var remove_last_neg_divs = false
if pl1
remove_last_pos_divs := false
last_pos_div_lines := 0
last_pos_div_lines
if ph1
remove_last_neg_divs := false
last_neg_div_lines := 0
last_neg_div_lines
divergence_text_top = ''
divergence_text_bottom = ''
distances = array.new_int(0)
dnumdiv_top = 0
dnumdiv_bottom = 0
top_label_col = color.white
bottom_label_col = color.white
old_pos_divs_can_be_removed = true
old_neg_divs_can_be_removed = true
startpoint = dontconfirm ? 0 : 1
for x = 0 to 10 by 1
div_type = -1
for y = 0 to 3 by 1
if array.get(all_divergences, x * 4 + y) > 0
div_type := y
if y % 2 == 1
dnumdiv_top += 1
top_label_col := array.get(div_colors, y)
top_label_col
if y % 2 == 0
dnumdiv_bottom += 1
bottom_label_col := array.get(div_colors, y)
bottom_label_col
if not array.includes(distances, array.get(all_divergences, x * 4 + y))
array.push(distances, array.get(all_divergences, x * 4 + y))
new_line = showlines ? line.new(x1=bar_index - array.get(all_divergences, x * 4 + y), y1=source == 'CLOSE' ? close : y % 2 == 0 ? low : high , x2=bar_index - startpoint, y2=source == 'CLOSE' ? close : y % 2 == 0 ? low : high , color=array.get(div_colors, y), style=y < 2 ? reg_div_l_style : hid_div_l_style, width=y < 2 ? reg_div_l_width : hid_div_l_width) : na
if y % 2 == 0
if old_pos_divs_can_be_removed
old_pos_divs_can_be_removed := false
if not showlast and remove_last_pos_divs
delete_last_pos_div_lines_label(last_pos_div_lines)
last_pos_div_lines := 0
last_pos_div_lines
if showlast
delete_old_pos_div_lines()
array.push(pos_div_lines, new_line)
last_pos_div_lines += 1
remove_last_pos_divs := true
remove_last_pos_divs
if y % 2 == 1
if old_neg_divs_can_be_removed
old_neg_divs_can_be_removed := false
if not showlast and remove_last_neg_divs
delete_last_neg_div_lines_label(last_neg_div_lines)
last_neg_div_lines := 0
last_neg_div_lines
if showlast
delete_old_neg_div_lines()
array.push(neg_div_lines, new_line)
last_neg_div_lines += 1
remove_last_neg_divs := true
remove_last_neg_divs
if y == 0
pos_reg_div_detected := true
pos_reg_div_detected
if y == 1
neg_reg_div_detected := true
neg_reg_div_detected
if y == 2
pos_hid_div_detected := true
pos_hid_div_detected
if y == 3
neg_hid_div_detected := true
neg_hid_div_detected
if div_type >= 0
divergence_text_top += (div_type % 2 == 1 ? showindis != "DON'T SHOW" ? array.get(indicators_name, x) + ' ' : '' : '')
divergence_text_bottom += (div_type % 2 == 0 ? showindis != "DON'T SHOW" ? array.get(indicators_name, x) + ' ' : '' : '')
divergence_text_bottom
if showindis != "DON'T SHOW"
if dnumdiv_top > 0
divergence_text_top += str.tostring(dnumdiv_top)
divergence_text_top
if dnumdiv_bottom > 0
divergence_text_bottom += str.tostring(dnumdiv_bottom)
divergence_text_bottom
if divergence_text_top != ''
if showlast
delete_old_neg_div_labels()
array.push(neg_div_labels, label.new(x=bar_index, y=math.max(high, high ), color=top_label_col, style=label.style_diamond, size = size.auto))
if divergence_text_bottom != ''
if showlast
delete_old_pos_div_labels()
array.push(pos_div_labels, label.new(x=bar_index, y=math.min(low, low ), color=bottom_label_col, style=label.style_diamond, size = size.auto))
// POSITION AND SIZE
PosTable = input.string(defval="Bottom Right", title="Position", options= , group="Table Location & Size", inline="1")
SizTable = input.string(defval="Auto", title="Size", options= , group="Table Location & Size", inline="1")
Pos1Table = PosTable == "Top Right" ? position.top_right : PosTable == "Middle Right" ? position.middle_right : PosTable == "Bottom Right" ? position.bottom_right : PosTable == "Top Center" ? position.top_center : PosTable == "Middle Center" ? position.middle_center : PosTable == "Bottom Center" ? position.bottom_center : PosTable == "Top Left" ? position.top_left : PosTable == "Middle Left" ? position.middle_left : position.bottom_left
Siz1Table = SizTable == "Auto" ? size.auto : SizTable == "Huge" ? size.huge : SizTable == "Large" ? size.large : SizTable == "Normal" ? size.normal : SizTable == "Small" ? size.small : size.tiny
tbl = table.new(Pos1Table, 21, 16, border_width = 1, border_color = color.gray, frame_color = color.gray, frame_width = 1)
// Kullanıcı tarafından belirlenecek yeşil ve kırmızı zaman dilimi sayısı
greenThreshold = input.int(5, minval=1, maxval=10, title="Yeşil Zaman Dilimi Sayısı", group="Alarm Ayarları")
redThreshold = input.int(5, minval=1, maxval=10, title="Kırmızı Zaman Dilimi Sayısı", group="Alarm Ayarları")
// TIMEFRAMES OPTIONS
box01 = input.bool(true, "TF ", inline = "01", group="Select Timeframe")
tf01 = input.timeframe("1", "", inline = "01", group="Select Timeframe")
box02 = input.bool(false, "TF ", inline = "02", group="Select Timeframe")
tf02 = input.timeframe("3", "", inline = "02", group="Select Timeframe")
box03 = input.bool(true, "TF ", inline = "03", group="Select Timeframe")
tf03 = input.timeframe("5", "", inline = "03", group="Select Timeframe")
box04 = input.bool(true, "TF ", inline = "04", group="Select Timeframe")
tf04 = input.timeframe("15", "", inline = "04", group="Select Timeframe")
box05 = input.bool(false, "TF ", inline = "05", group="Select Timeframe")
tf05 = input.timeframe("30", "", inline = "05", group="Select Timeframe")
box06 = input.bool(true, "TF ", inline = "01", group="Select Timeframe")
tf06 = input.timeframe("60", "", inline = "01", group="Select Timeframe")
box07 = input.bool(false, "TF ", inline = "02", group="Select Timeframe")
tf07 = input.timeframe("120", "", inline = "02", group="Select Timeframe")
box08 = input.bool(false, "TF ", inline = "03", group="Select Timeframe")
tf08 = input.timeframe("180", "", inline = "03", group="Select Timeframe")
box09 = input.bool(true, "TF ", inline = "04", group="Select Timeframe")
tf09 = input.timeframe("240", "", inline = "04", group="Select Timeframe")
box10 = input.bool(false, "TF ", inline = "05", group="Select Timeframe")
tf10 = input.timeframe("D", "", inline = "05", group="Select Timeframe")
// indicator('Tillson FEMA', overlay=true)
length1 = input(1, 'FEMA Length')
a1 = input(0.7, 'Volume Factor')
e1 = ta.ema((high + low + 2 * close) / 4, length1)
e2 = ta.ema(e1, length1)
e3 = ta.ema(e2, length1)
e4 = ta.ema(e3, length1)
e5 = ta.ema(e4, length1)
e6 = ta.ema(e5, length1)
c1 = -a1 * a1 * a1
c2 = 3 * a1 * a1 + 3 * a1 * a1 * a1
c3 = -6 * a1 * a1 - 3 * a1 - 3 * a1 * a1 * a1
c4 = 1 + 3 * a1 + a1 * a1 * a1 + 3 * a1 * a1
FEMA = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3
tablocol1 = FEMA > FEMA
tablocol3 = FEMA < FEMA
color_1 = col1 ? color.rgb(149, 219, 35): col3 ? color.rgb(238, 11, 11) : color.yellow
plot(FEMA, color=color_1, linewidth=3, title='FEMA')
tilson1 = FEMA
tilson1a =FEMA
// DEFINITION OF VALUES
symbol = ticker.modify(syminfo.tickerid, syminfo.session)
tfArr = array.new(na)
tilson1Arr = array.new(na)
tilson1aArr = array.new(na)
// DEFINITIONS OF RSI & CCI FUNCTIONS APPENDED IN THE TIMEFRAME OPTIONS
cciNcciFun(tf, flg) =>
= request.security(symbol, tf, )
if flg and (barstate.isrealtime ? true : timeframe.in_seconds(timeframe.period) <= timeframe.in_seconds(tf))
array.push(tfArr, na(tf) ? timeframe.period : tf)
array.push(tilson1Arr, tilson_)
array.push(tilson1aArr, tilson1a_)
cciNcciFun(tf01, box01), cciNcciFun(tf02, box02), cciNcciFun(tf03, box03), cciNcciFun(tf04, box04),
cciNcciFun(tf05, box05), cciNcciFun(tf06, box06), cciNcciFun(tf07, box07), cciNcciFun(tf08, box08),
cciNcciFun(tf09, box09), cciNcciFun(tf10, box10)
// TABLE AND CELLS CONFIG
// Post Timeframe in format
tfTxt(x)=>
out = x
if not str.contains(x, "S") and not str.contains(x, "M") and
not str.contains(x, "W") and not str.contains(x, "D")
if str.tonumber(x)%60 == 0
out := str.tostring(str.tonumber(x)/60)+"H"
else
out := x + "m"
out
if barstate.islast
table.clear(tbl, 0, 0, 20, 15)
// TITLES
table.cell(tbl, 0, 0, "⏱", text_color=color.white, text_size=Siz1Table, bgcolor=#000000)
table.cell(tbl, 1, 0, "FEMA("+str.tostring(length1)+")", text_color=#FFFFFF, text_size=Siz1Table, bgcolor=#000000)
j = 1
greenCounter = 0 // Yeşil zaman dilimlerini saymak için bir sayaç
redCounter = 0
if array.size(tilson1Arr) > 0
for i = 0 to array.size(tilson1Arr) - 1
if not na(array.get(tilson1Arr, i))
//config values in the cells
TF_VALUE = array.get(tfArr,i)
tilson1VALUE = array.get(tilson1Arr, i)
tilson1aVALUE = array.get(tilson1aArr, i)
SIGNAL1 = tilson1VALUE >= tilson1aVALUE ? "▲" : tilson1VALUE <= tilson1aVALUE ? "▼" : na
// Yeşil oklar ve arka planı ayarla
greenArrowColor1 = SIGNAL1 == "▲" ? color.rgb(0, 255, 0) : color.rgb(255, 0, 0)
greenBgColor1 = SIGNAL1 == "▲" ? color.rgb(25, 70, 22) : color.rgb(93, 22, 22)
allGreen = tilson1VALUE >= tilson1aVALUE
allRed = tilson1VALUE <= tilson1aVALUE
// Determine background color for time text
timeBgColor = allGreen ? #194616 : (allRed ? #5D1616 : #000000)
txtColor = allGreen ? #00FF00 : (allRed ? #FF4500 : color.white)
if allGreen
greenCounter := greenCounter + 1
redCounter := 0
else if allRed
redCounter := redCounter + 1
greenCounter := 0
else
redCounter := 0
greenCounter := 0
// Dinamik pair değerini oluşturma
pair = "USDT_" + syminfo.basecurrency + "USDT"
// Bot ID için kullanıcı girişi
bot_id = input.int(12387976, title="Bot ID", minval=0,group ='3Comas Message', inline = '1') // Varsayılan değeri 12387976 olan bir tamsayı girişi alır
// E-posta tokenı için kullanıcı girişi
email_token = input("cd4111d4-549a-4759-a082-e8f45c91fa47", title="Email Token",group ='3Comas Message', inline = '1')
// USER INPUT FOR DELAY
delay_seconds = input.int(0, title="Delay Seconds", minval=0, maxval=86400,group ='3Comas Message', inline = '1')
// Dinamik mesajın oluşturulması
message = '{ "message_type": "bot", "bot_id": ' + str.tostring(bot_id) + ', "email_token": "' + email_token + '", "delay_seconds": ' + str.tostring(delay_seconds) + ', "pair": "' + pair + '"}'
// Kullanıcının belirlediği yeşil veya kırmızı zaman dilimi sayısına ulaşıldığında alarmı tetikle
if greenCounter >= greenThreshold
alert(message, alert.freq_once_per_bar_close)
// if redCounter >= redThreshold
// alert(message, alert.freq_once_per_bar_close)
// Kullanıcının belirlediği yeşil veya kırmızı zaman dilimi sayısına ulaşıldığında alarmı tetikle
// if greenCounter >= greenThreshold
// alert("Yeşil zaman dilimi sayısı " + str.tostring(greenThreshold) + " adede ulaştı", alert.freq_once_per_bar_close)
// if redCounter >= redThreshold
// alert("Kırmızı zaman dilimi sayısı " + str.tostring(redThreshold) + " adede ulaştı", alert.freq_once_per_bar_close)
table.cell(tbl, 0, j, tfTxt(TF_VALUE), text_color=txtColor, text_halign=text.align_left, text_size=Siz1Table, bgcolor=timeBgColor)
table.cell(tbl, 1, j, str.tostring(tilson1VALUE, "#.#######")+SIGNAL1, text_color=greenArrowColor1, text_halign=text.align_right, text_size=Siz1Table, bgcolor=greenBgColor1)
j += 1
prd = input.int(defval=10, title='Pivot Period', minval=4, maxval=30, group='Setup')
ppsrc = input.string(defval='High/Low', title='Source', options= , group='Setup')
maxnumpp = input.int(defval=20, title=' Maximum Number of Pivot', minval=5, maxval=100, group='Setup')
ChannelW = input.int(defval=10, title='Maximum Channel Width %', minval=1, group='Setup')
maxnumsr = input.int(defval=5, title=' Maximum Number of S/R', minval=1, maxval=10, group='Setup')
min_strength = input.int(defval=2, title=' Minimum Strength', minval=1, maxval=10, group='Setup')
labelloc = input.int(defval=20, title='Label Location', group='Colors', tooltip='Positive numbers reference future bars, negative numbers reference histical bars')
linestyle = input.string(defval='Dashed', title='Line Style', options= , group='Colors')
linewidth = input.int(defval=2, title='Line Width', minval=1, maxval=4, group='Colors')
resistancecolor = input.color(defval=color.red, title='Resistance Color', group='Colors')
supportcolor = input.color(defval=color.lime, title='Support Color', group='Colors')
showpp = input(false, title='Show Point Points')
float src1 = ppsrc == 'High/Low' ? high : math.max(close, open)
float src2 = ppsrc == 'High/Low' ? low : math.min(close, open)
float ph = ta.pivothigh(src1, prd, prd)
float pl = ta.pivotlow(src2, prd, prd)
plotshape(ph and showpp, text='H', style=shape.labeldown, color=na, textcolor=color.new(color.red, 0), location=location.abovebar, offset=-prd)
plotshape(pl and showpp, text='L', style=shape.labelup, color=na, textcolor=color.new(color.lime, 0), location=location.belowbar, offset=-prd)
Lstyle = linestyle == 'Dashed' ? line.style_dashed : linestyle == 'Solid' ? line.style_solid : line.style_dotted
//calculate maximum S/R channel zone width
prdhighest = ta.highest(300)
prdlowest = ta.lowest(300)
cwidth = (prdhighest - prdlowest) * ChannelW / 100
var pivotvals = array.new_float(0)
if ph or pl
array.unshift(pivotvals, ph ? ph : pl)
if array.size(pivotvals) > maxnumpp // limit the array size
array.pop(pivotvals)
get_sr_vals(ind) =>
float lo = array.get(pivotvals, ind)
float hi = lo
int numpp = 0
for y = 0 to array.size(pivotvals) - 1 by 1
float cpp = array.get(pivotvals, y)
float wdth = cpp <= lo ? hi - cpp : cpp - lo
if wdth <= cwidth // fits the max channel width?
if cpp <= hi
lo := math.min(lo, cpp)
else
hi := math.max(hi, cpp)
numpp += 1
numpp
var sr_up_level = array.new_float(0)
var sr_dn_level = array.new_float(0)
sr_strength = array.new_float(0)
find_loc(strength) =>
ret = array.size(sr_strength)
for i = ret > 0 ? array.size(sr_strength) - 1 : na to 0 by 1
if strength <= array.get(sr_strength, i)
break
ret := i
ret
ret
check_sr(hi, lo, strength) =>
ret = true
for i = 0 to array.size(sr_up_level) > 0 ? array.size(sr_up_level) - 1 : na by 1
//included?
if array.get(sr_up_level, i) >= lo and array.get(sr_up_level, i) <= hi or array.get(sr_dn_level, i) >= lo and array.get(sr_dn_level, i) <= hi
if strength >= array.get(sr_strength, i)
array.remove(sr_strength, i)
array.remove(sr_up_level, i)
array.remove(sr_dn_level, i)
ret
else
ret := false
ret
break
ret
var sr_lines = array.new_line(11, na)
var sr_labels = array.new_label(11, na)
for x = 1 to 10 by 1
rate = 100 * (label.get_y(array.get(sr_labels, x)) - close) / close
label.set_text(array.get(sr_labels, x), text=str.tostring(label.get_y(array.get(sr_labels, x))) + '(' + str.tostring(rate, '#.##') + '%)')
label.set_x(array.get(sr_labels, x), x=bar_index + labelloc)
label.set_color(array.get(sr_labels, x), color=label.get_y(array.get(sr_labels, x)) >= close ? color.red : color.lime)
label.set_textcolor(array.get(sr_labels, x), textcolor=label.get_y(array.get(sr_labels, x)) >= close ? color.white : color.black)
label.set_style(array.get(sr_labels, x), style=label.get_y(array.get(sr_labels, x)) >= close ? label.style_label_down : label.style_label_up)
line.set_color(array.get(sr_lines, x), color=line.get_y1(array.get(sr_lines, x)) >= close ? resistancecolor : supportcolor)
if ph or pl
//because of new calculation, remove old S/R levels
array.clear(sr_up_level)
array.clear(sr_dn_level)
array.clear(sr_strength)
//find S/R zones
for x = 0 to array.size(pivotvals) - 1 by 1
= get_sr_vals(x)
if check_sr(hi, lo, strength)
loc = find_loc(strength)
// if strength is in first maxnumsr sr then insert it to the arrays
if loc < maxnumsr and strength >= min_strength
array.insert(sr_strength, loc, strength)
array.insert(sr_up_level, loc, hi)
array.insert(sr_dn_level, loc, lo)
// keep size of the arrays = 5
if array.size(sr_strength) > maxnumsr
array.pop(sr_strength)
array.pop(sr_up_level)
array.pop(sr_dn_level)
for x = 1 to 10 by 1
line.delete(array.get(sr_lines, x))
label.delete(array.get(sr_labels, x))
for x = 0 to array.size(sr_up_level) > 0 ? array.size(sr_up_level) - 1 : na by 1
float mid = math.round_to_mintick((array.get(sr_up_level, x) + array.get(sr_dn_level, x)) / 2)
rate = 100 * (mid - close) / close
array.set(sr_labels, x + 1, label.new(x=bar_index + labelloc, y=mid, text=str.tostring(mid) + '(' + str.tostring(rate, '#.##') + '%)', color=mid >= close ? color.red : color.lime, textcolor=mid >= close ? color.white : color.black, style=mid >= close ? label.style_label_down : label.style_label_up))
array.set(sr_lines, x + 1, line.new(x1=bar_index, y1=mid, x2=bar_index - 1, y2=mid, extend=extend.both, color=mid >= close ? resistancecolor : supportcolor, style=Lstyle, width=linewidth))
f_crossed_over() =>
ret = false
for x = 0 to array.size(sr_up_level) > 0 ? array.size(sr_up_level) - 1 : na by 1
float mid = math.round_to_mintick((array.get(sr_up_level, x) + array.get(sr_dn_level, x)) / 2)
if close <= mid and close > mid
ret := true
ret
ret
f_crossed_under() =>
ret = false
for x = 0 to array.size(sr_up_level) > 0 ? array.size(sr_up_level) - 1 : na by 1
float mid = math.round_to_mintick((array.get(sr_up_level, x) + array.get(sr_dn_level, x)) / 2)
if close >= mid and close < mid
ret := true
ret
ret
alertcondition(f_crossed_over(), title='Resistance Broken', message='Resistance Broken')
alertcondition(f_crossed_under(), title='Support Broken', message='Support Broken')
Session Sweep + Retrace (London + NY) - FixedORB Strategy with confluence. This sets out the 5 min session sweep from London and NY, and highlights a test back into the order zone with fib retracement.
S&P 500 Offense vs. Defense RatioS&P 500 Offense vs. Defense Ratio
Formula: (XLK+XLY+XLC+XLF+XLI) / (XLP+XLU+XLRE+XLV+XLE)
change of offensive sectors vs defensive sectors
Top-Down Analysis - Multi-Timeframe AlignmentThis indicator implements a Top-Down Multi-Timeframe Trading Analysis System. Here's what it does:
Core Functionality
1. Multi-Timeframe Bias Detection
Monitors three timeframes: Daily, 4-Hour, and 1-Hour
Determines if each timeframe is bullish, bearish, or neutral based on two EMAs (9 and 21 period by default)
A timeframe is bullish when: Fast EMA > Slow EMA AND price is above Fast EMA
A timeframe is bearish when: Fast EMA < Slow EMA AND price is below Fast EMA
2. Alignment Tier System
Tier 1 (Full Alignment): All three timeframes agree (Daily = 4H = 1H direction)
Tier 2 (Partial Alignment): Daily and 1H agree, but 4H differs
No Alignment: Timeframes disagree
3. Previous Day Support & Resistance Levels
Automatically plots key levels from the previous day:
Previous Day High (PDH) - resistance
Previous Day Low (PDL) - support
Previous Day Close (PDC)
Previous Day Midpoint (PDM)
4. Execution Zone (15-Minute Window)
Highlights the first 15 minutes after each new 4H candle opens
This is the optimal entry window when alignment conditions are met
5. Pattern Recognition
Detects trading setups:
Double tops/bottoms
Long wicks at support/resistance
Bullish/bearish closes aligned with bias
6. Trade Signals
Generates entry signals when:
There's Tier 1 or Tier 2 alignment
Price is in the 15-minute execution zone
A valid pattern forms (double top/bottom or wick rejection)
7. Visual Dashboard
Shows a real-time table with:
Each timeframe's current bias
Alignment status
Next 4H prediction
Whether price is at a key support/resistance level
Trading Strategy
The indicator helps traders follow the principle of "trade with the higher timeframe trend" by only taking trades when multiple timeframes agree, focusing entries during specific windows, and respecting previous day's key price levels as potential reaction zones.
Institutional Volume Flow (IVF) with VWAP & Zones. Accumulation Zone (Green Background)Logic: Signals potential institutional buying at the low.Conditions: The current close price is below VWAP $\text{(close} < \text{VWAP)}$, AND there has been at least one Aggressive Buy (IVF) bar within the last $\text{N}$ bars.2. Manipulation Zone (Red Background)Logic: Signals a Stop Hunt or False Breakout where the market briefly takes out a previous extreme before reversing with institutional conviction.Conditions:False Break High: Current high is a new 2-bar high, immediately followed by an Aggressive Sell (IVF) bar.False Break Low: Current low is a new 2-bar low, immediately followed by an Aggressive Buy (IVF) bar.3. Compression Zone (Purple Background)Logic: Signals a period of low volatility where price is "coiling up" for a large move.Conditions: The bar's range $\text{(high} - \text{low)}$ is consistently small (less than a multiplier of the Average True Range (ATR)) for a specific number of bars.The zones are plotted using bgcolor() for a visual area on the chart and plotshape() to mark the specific bar where the condition is met. Manipulation is given the highest plotting priority to ensure it's visible over other zones if conditions overlap.Would you like me to elaborate on the typical trading strategy associated with any of these three zones (Accumulation, Manipulation, or Compression)?
BOS/CHOCH Demand & SupplyThis indicator automatically identifies and plots Supply and Demand zones based on Smart Money Concepts (SMC) methodology. It detects structural breaks in price action and marks the origin zones that initiated these moves.
How It Works (Technical Methodology)
1. Swing Point Detection
The indicator uses Pine Script's ta.pivothigh() and ta.pivotlow() functions to identify swing highs and lows. Users can input multiple lookback periods (e.g., 1, 2, 3, 5, 11, 15, 20) to detect structure across different timeframe perspectives simultaneously.
2. Break of Structure (BOS) Detection
A Bullish BOS is confirmed when:
Current candle closes above the last swing high
Previous candle's high was still below that swing high
The current swing high is higher than the previous swing high (trend continuation)
A Bearish BOS is confirmed when:
Current candle closes below the last swing low
Previous candle's low was still above that swing low
The current swing low is lower than the previous swing low (trend continuation)
3. Change of Character (CHOCH) Detection
A Bullish CHOCH is confirmed when:
Price breaks above the last swing high
But that swing high was lower than the previous swing high (potential reversal signal)
A Bearish CHOCH is confirmed when:
Price breaks below the last swing low
But that swing low was higher than the previous swing low (potential reversal signal)
4. Inducement / Liquidity Grab Filter (Optional)
When enabled, zones are only drawn if the swing point that created them first grabbed liquidity from the previous swing:
For Demand zones: The swing low must have traded below the previous swing low before the bullish break
For Supply zones: The swing high must have traded above the previous swing high before the bearish break
This filter helps identify higher-probability zones where stop-losses were likely triggered before the move.
5. Zone Construction
Demand Zone (Bullish):
Top boundary: max(open, close) of the swing low candle
Bottom boundary: low of the swing low candle
Supply Zone (Bearish):
Top boundary: high of the swing high candle
Bottom boundary: min(open, close) of the swing high candle
This captures the candle body-to-wick range where institutional orders likely reside.
6. Zone Lifecycle Management
Active Zone: Displayed in green (demand) or red (supply)
Mitigated Zone: When price touches the zone but doesn't break it, the zone turns gray (indicating partial fill)
Broken Zone: When price fully breaks through the zone, it is automatically deleted from the chart
How to Use
Demand Zones (Green): Look for long entries when price returns to these zones. The zone represents where buying pressure previously overcame selling.
Supply Zones (Red): Look for short entries when price returns to these zones. The zone represents where selling pressure previously overcame buying.
BOS Zones: Indicate trend continuation - trade in the direction of the break.
CHOCH Zones: Indicate potential reversal - these are early warning signals of trend change.
Enable "Require Inducement" for higher-quality setups where liquidity was grabbed before the structural break.
Multi-Lookback Periods: Using multiple values helps identify zones across different structural levels. Smaller values catch minor structure; larger values catch major structure.
Disclaimer
This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
AI Candlestick Pattern Identifier — Arrows & AlertsAI shows you high confidence candlestick patterns so that you can identify them quickly. Buy/Sell arrows will be placed alongside the pattern to alert you of which direction the indicator believes the market will go, as well as showing you the confidence in that indicator.
Tarih & Saat (Sol Alt - Orta Arası)Sometimes we may have some questions about the clock in our minds, if your PC clock or application clock gets a bug, this indicator is the source of the exact solution to this problem, enjoy it






















