MA 20, 50, 200//@version=5
indicator("MA 20, 50, 200", overlay=true)
// Calculate the 20-period, 50-period, and 100-period Simple Moving Averages
ma20 = ta.sma(close, 20)
ma50 = ta.sma(close, 50)
ma200 = ta.sma(close, 200)
// Plot the moving averages on the chart
plot(ma20, color=color.green, linewidth=2, title="MA 20")
plot(ma50, color=color.blue, linewidth=2, title="MA 50")
plot(ma200, color=color.red, linewidth=2, title="MA 200")
This function plots each of the moving averages on the chart.
The color parameter sets the color for each SMA:
MA 20 is plotted in green
MA 50 is plotted in blue
MA 200 is plotted in red
المؤشرات والاستراتيجيات
3 Volume Weighted Moving Average -trend-Macd (MTF)3 Volume Weighted Moving Average -trend-Macd (MTF)
ATR Stop-Loss CalculatorATR (Average True Range) kullanarak long ve short işlemleri için stop-loss seviyelerini hesaplar ve grafikte gösterir. Ayrıca Sağ üst köşede stop-loss seviyelerini bir tablo olarak görüntüler. Ayarlanabilir parametreler sayesinde esnek ve kullanıcı dostu bir araçtır.
Özellikler:
ATR'ye dayalı long ve short stop-loss seviyeleri.
Sağ üst köşede stop-loss seviyelerini gösteren tablo.
Kullanıcı tarafından özelleştirilebilir ATR uzunluğu, çarpanı ve hareketli ortalama uzunlukları.
Filtered ATR with EMA OverlayFiltered ATR with EMA Overlay is an advanced volatility indicator designed to provide a more accurate representation of market conditions by smoothing the standard Average True Range (ATR). This is achieved by filtering out extreme price movements and abnormal bars that can distort traditional ATR calculations.
The indicator applies an Exponential Moving Average (EMA) to the filtered ATR, creating a dual-layered system that highlights periods of increased or decreased volatility.
Key Features:
Filtered ATR: Filters out extreme bars, reducing noise and making the ATR line more reliable.
EMA Overlay: An EMA (default period of 10) is applied to the filtered ATR, allowing traders to track average volatility trends.
Volatility Signals:
Filtered ATR > EMA(10): Indicates higher-than-average volatility. This often correlates with trend breakouts or strong price movements.
Filtered ATR < EMA(10): Suggests reduced volatility, signaling potential consolidation or sideways price action.
Parameters:
atrLength (Default: 5):
The number of bars used to calculate the ATR. A shorter period (e.g., 3-5) responds faster to price changes, while a longer period (e.g., 10-14) provides smoother results.
multiplier (Default: 1.8):
Controls the sensitivity of the filter. A lower multiplier (e.g., 1.5) filters out more bars, resulting in smoother ATR. Higher values (e.g., 2.0) allow more bars to pass through, retaining more price volatility.
maxIterations (Default: 20):
The maximum number of bars processed to detect abnormal values. Increasing this may improve accuracy at the cost of performance.
ema10Period (Default: 10):
The period for the Exponential Moving Average applied to the filtered ATR. Shorter periods provide faster signals, while longer periods give smoother, lagging signals.
Trading Strategies:
1. Breakout Strategy:
When filtered ATR crosses above EMA(10):
Enter long positions when price breaks above a key resistance level.
Higher volatility suggests strong price action and momentum.
When filtered ATR drops below EMA(10):
Exit positions or tighten stop-loss orders as volatility decreases.
Lower volatility may indicate consolidation or trend exhaustion.
2. Trend Following Strategy:
Use the filtered ATR line to track overall volatility.
If filtered ATR consistently stays above EMA: Hold positions or add to trades.
If filtered ATR remains below EMA: Reduce position size or stay out of trades.
3. Mean Reversion Strategy:
When filtered ATR spikes significantly above EMA, it may indicate market overreaction.
Look for price to revert to the mean once ATR returns below the EMA.
4. Stop-Loss Adjustment:
As volatility increases (ATR above EMA), widen stop-loss levels to avoid being stopped out by random fluctuations.
In low volatility (ATR below EMA), tighten stop-losses to minimize losses during low activity periods.
Benefits:
Reduced Noise: By filtering abnormal bars, the indicator provides cleaner signals.
Better Trend Detection: EMA smoothing highlights volatility trends.
Adaptable: The indicator can be customized for scalping, day trading, or swing trading.
Intuitive Visualization: Traders can visually see volatility shifts and adjust strategies in real-time.
Best Practices:
Timeframes: Works effectively on all timeframes, but higher timeframes (e.g., 1H, 4H, Daily) yield more reliable signals.
Markets: Suitable for forex, crypto, stocks, and commodities.
Combining Indicators: Use in combination with RSI, Moving Averages, Bollinger Bands, or price action analysis for stronger signals.
How It Works (Under the Hood):
The script calculates the Daily Range (High - Low) for each bar.
The largest and smallest bars are filtered out if their difference exceeds the multiplier (default 1.8).
The remaining bars are averaged to generate the filtered ATR.
An EMA(10) is then applied to the filtered ATR for smoother visualization.
Filtered ATR with EMA OverlayFiltered ATR with EMA Overlay is an advanced volatility indicator designed to provide a more accurate representation of market conditions by smoothing the standard Average True Range (ATR). This is achieved by filtering out extreme price movements and abnormal bars that can distort traditional ATR calculations.
The indicator applies an Exponential Moving Average (EMA) to the filtered ATR, creating a dual-layered system that highlights periods of increased or decreased volatility.
Key Features:
Filtered ATR: Filters out extreme bars, reducing noise and making the ATR line more reliable.
EMA Overlay: An EMA (default period of 10) is applied to the filtered ATR, allowing traders to track average volatility trends.
Volatility Signals:
Filtered ATR > EMA(10): Indicates higher-than-average volatility. This often correlates with trend breakouts or strong price movements.
Filtered ATR < EMA(10): Suggests reduced volatility, signaling potential consolidation or sideways price action.
Parameters:
atrLength (Default: 5):
The number of bars used to calculate the ATR. A shorter period (e.g., 3-5) responds faster to price changes, while a longer period (e.g., 10-14) provides smoother results.
multiplier (Default: 1.8):
Controls the sensitivity of the filter. A lower multiplier (e.g., 1.5) filters out more bars, resulting in smoother ATR. Higher values (e.g., 2.0) allow more bars to pass through, retaining more price volatility.
maxIterations (Default: 20):
The maximum number of bars processed to detect abnormal values. Increasing this may improve accuracy at the cost of performance.
ema10Period (Default: 10):
The period for the Exponential Moving Average applied to the filtered ATR. Shorter periods provide faster signals, while longer periods give smoother, lagging signals.
Trading Strategies:
1. Breakout Strategy:
When filtered ATR crosses above EMA(10):
Enter long positions when price breaks above a key resistance level.
Higher volatility suggests strong price action and momentum.
When filtered ATR drops below EMA(10):
Exit positions or tighten stop-loss orders as volatility decreases.
Lower volatility may indicate consolidation or trend exhaustion.
2. Trend Following Strategy:
Use the filtered ATR line to track overall volatility.
If filtered ATR consistently stays above EMA: Hold positions or add to trades.
If filtered ATR remains below EMA: Reduce position size or stay out of trades.
3. Mean Reversion Strategy:
When filtered ATR spikes significantly above EMA, it may indicate market overreaction.
Look for price to revert to the mean once ATR returns below the EMA.
4. Stop-Loss Adjustment:
As volatility increases (ATR above EMA), widen stop-loss levels to avoid being stopped out by random fluctuations.
In low volatility (ATR below EMA), tighten stop-losses to minimize losses during low activity periods.
Benefits:
Reduced Noise: By filtering abnormal bars, the indicator provides cleaner signals.
Better Trend Detection: EMA smoothing highlights volatility trends.
Adaptable: The indicator can be customized for scalping, day trading, or swing trading.
Intuitive Visualization: Traders can visually see volatility shifts and adjust strategies in real-time.
Best Practices:
Timeframes: Works effectively on all timeframes, but higher timeframes (e.g., 1H, 4H, Daily) yield more reliable signals.
Markets: Suitable for forex, crypto, stocks, and commodities.
Combining Indicators: Use in combination with RSI, Moving Averages, Bollinger Bands, or price action analysis for stronger signals.
How It Works (Under the Hood):
The script calculates the Daily Range (High - Low) for each bar.
The largest and smallest bars are filtered out if their difference exceeds the multiplier (default 1.8).
The remaining bars are averaged to generate the filtered ATR.
An EMA(10) is then applied to the filtered ATR for smoother visualization.
NAG_SMA IndicatorHi All,
This is SMA indicator with multiple SMA values.
You can select SMA as per your strategy.
Regards,
Nilesh Ghadshi
@nghadshi2389
AmirAli ShiraniBacktest within Specific Date Range . This is a test for understanding it work or not
6 Moving Average SimpleYou can display 6 SMAs. It’s simple, so feel free to adjust it as you like. Your support would be a great motivator for creating new indicators.
6本のSMAを表示できます。
シンプルですので、ご自由に調整してください。
応援頂けると新たなインジケーター作成の糧になります。
Nahum - ZLSMA for Telegram [Nahum81]Este indicador ZLSMA (Zero Lag Least Squares Moving Average) proporciona una media móvil con un retraso casi nulo, lo que permite identificar la dirección de la tendencia de forma instantánea.
Características:
Alertas de Telegram: Recibe notificaciones en tiempo real en tu Telegram cuando se produzcan señales de compra o venta.
Integración con Telegram: Conéctate fácilmente a tu cuenta de Telegram para recibir alertas.
Configuración personalizable: Ajusta los parámetros del indicador y las alertas a tu estrategia de trading.
Advertencia:
Este indicador debe usarse con precaución.
Se recomienda contactar al desarrollador (@Nahum81) para comprender completamente la estrategia y su uso adecuado.
El trading implica riesgos y este indicador no garantiza ganancias.
Nahum - ZLSMA for Telegram [Nahum81]Este indicador ZLSMA (Zero Lag Least Squares Moving Average) proporciona una media móvil con un retraso casi nulo, lo que permite identificar la dirección de la tendencia de forma instantánea.
Características:
Alertas de Telegram: Recibe notificaciones en tiempo real en tu Telegram cuando se produzcan señales de compra o venta.
Integración con Telegram: Conéctate fácilmente a tu cuenta de Telegram para recibir alertas.
Configuración personalizable: Ajusta los parámetros del indicador y las alertas a tu estrategia de trading.
Advertencia:
Este indicador debe usarse con precaución.
Se recomienda contactar al desarrollador (@Nahum81) para comprender completamente la estrategia y su uso adecuado.
El trading implica riesgos y este indicador no garantiza ganancias.
Garrys Pair DifferenceFirst pair should be futures, second pair is spot
Plots extents and when the extents have a higher high or lower low it plots a circle
ST+SQZMOM v.3// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © syahdan modifying LazyBear script and many sources
//======================================================================================================================
//@version=6
indicator('ST+SQZMOM v.3', overlay = true, max_lines_count = 40)
import TradingView/ta/9
//======================================================================================================================
//groups
Alerts = 'alert'
Supertrend = 'supertrend'
SqzMom = 'sqzMom'
Sma = 'ma'
TS = 'tp/sl'
// Input switches for alerts
alertTrendChange = input.bool(true, title='Enable Trend Change Alert', group = Alerts)
alertSQZMOM = input.bool(true, title='Enable SQZMOM Alerts', group = Alerts)
// Supertrend Inputs
atrPeriod = input.int(10, 'ATR Length', minval = 1, group = Supertrend)
factor = input.float(2.5, 'Factor', minval = 0.01, step = 0.01, group = Supertrend)
// Squeeze Momentum Indicator Inputs
sources = input(close, 'Source', group = SqzMom)
bbLength = input.int(20, 'Bollinger Bands Length', minval = 1, group = SqzMom)
bbMult = input.float(2, 'Bollinger Bands MultFactor', step = 0.25, group = SqzMom)
kcLength = input(20, 'Keltner\'s Channel Length', group = SqzMom)
kcMult = input.float(1.5, 'Keltner\'s Channel MultFactor', step = 0.25, group = SqzMom)
useTrueRange = input(true, 'Use TrueRange (Keltner\'s Channel)', group = SqzMom)
addSignal = input.bool(false, title = 'add Signal to Calculate direction', group = SqzMom)
signalLength = input(5, 'Signal Length', group = SqzMom)
tooltip_sqz = 'show momentum direction, BB band and KC band'
showBB = input.bool(false, 'show BBand', tooltip = tooltip_sqz, group = SqzMom)
showKC = input.bool(false, 'show keltner channel', tooltip = tooltip_sqz, group = SqzMom)
showDir= input.bool(false, 'show squeeze direction', tooltip = tooltip_sqz, group = SqzMom)
// Customizable thresholds
lowerThreshold = input(-1.0, title = 'Lower Threshold', group = SqzMom)
upperThreshold = input(1.0, title = 'Upper Threshold', group = SqzMom)
// SMA Input settings
lengthMA = input(200, title="MA Period", group = Sma)
showMA = input.bool(true, title="Show MA", group = Sma)
addsave = input.bool(true, title = 'add MA as filter', group = Alerts)
// Hardcoded tp + sl multipliers
targetMultiplier1 = input.int(1, 'TP1 multiply', minval = 1, group = TS)
targetMultiplier2 = input.int(2, 'TP2 multiply', minval = 2, group = TS)
targetMultiplier3 = input.int(3, 'TP3 multiply', minval = 3, group = TS)
stopLossMultiplier = input.int(3, 'SL multiply', minval = 3, group = TS)
//======================================================================================================================
// Calculate Supertrend
= ta.supertrend(factor, atrPeriod)
// Plot the Supertrend line
plot(supertrend, color = direction < 0 ? color.green : color.red, title = 'ST', style = plot.style_stepline_diamond)
// Determine if the trend is up or down
upTrend = direction < 0
downTrend = direction > 0
// Track previous trend state
var int previousDirection = na
previousDirection := upTrend ? 1 : -1
// Calculate ATR for targets and stop loss
atrValue = ta.atr(atrPeriod)
// Initialize target and stop loss levels
var float entryPrice = na
var float targetLevel1 = na
var float targetLevel2 = na
var float targetLevel3 = na
var float stopLossLevel = na
// Initialize counters for lines and labels
var int count_up = 0
var int count_down = 0
// Initialize a new variable to track if new lines and labels are drawn
var bool newLinesDrawn = false
// Calculate BB
basis = ta.sma(sources, bbLength)
dev = bbMult * ta.stdev(sources, bbLength)
bbUpper = basis + dev
bbLower = basis - dev
// Calculate KC
ma = ta.sma(sources, kcLength)
trRange = useTrueRange ? ta.tr : high - low
rangema = ta.sma(trRange, kcLength)
kcUpper = ma + rangema * kcMult
kcLower = ma - rangema * kcMult
sqzOn = bbLower > kcLower and bbUpper < kcUpper
sqzOff = bbLower < kcLower and bbUpper > kcUpper
noSqz = sqzOn == false and sqzOff == false
val = ta.linreg(sources - math.avg(math.avg(ta.highest(high, kcLength), ta.lowest(low, kcLength)), ta.sma(sources, kcLength)), kcLength, 0)
signal = ta.sma(val, signalLength)
dir = not addSignal ? val : val - signal
// Calculate SMA
MA = ta.sma(sources,lengthMA)
saveEntryBuy = addsave ? MA < close : false
saveEntrySell = addsave ? MA > close : false
//======================================================================================================================
// Plot SMA
plot(showMA ? MA : na, color=color.white, linewidth=2, title='MA')
triangUp = sqzOff and dir > dir and dir >= upperThreshold
triangDown = sqzOff and dir < dir and dir <= lowerThreshold
triangUpR = sqzOff and dir < dir and dir >= upperThreshold
triangDownR = sqzOff and dir > dir and dir <= lowerThreshold
insideThreshold = sqzOff and upperThreshold > dir and dir > lowerThreshold
// Calculate target and stop loss levels
if upTrend and triangUp
entryPrice := close
targetLevel1 := close + atrValue * targetMultiplier1
targetLevel2 := close + atrValue * targetMultiplier2
targetLevel3 := close + atrValue * targetMultiplier3
stopLossLevel := close - atrValue * stopLossMultiplier
count_up := count_up + 1
count_down := 0
else if downTrend and triangDown
entryPrice := close
targetLevel1 := close - atrValue * targetMultiplier1
targetLevel2 := close - atrValue * targetMultiplier2
targetLevel3 := close - atrValue * targetMultiplier3
stopLossLevel := close + atrValue * stopLossMultiplier
count_down := count_down + 1
count_up := 0
// Plotting Squeeze Momentum Indicator
plotshape(sqzOn or noSqz, 'In Squeeze', shape.square, location.top, color=sqzOn or noSqz ? color.new(color.orange, 0) : color.new(color.white, 0))
plotshape(triangUp or triangUpR, 'Squeeze Release UpTrend', shape.triangleup, location.top, color=triangUp ? color.new(color.green, 0) : color.new(color.yellow, 0))
plotshape(triangDown or triangDownR, 'Squeeze Release DownTrend', shape.triangledown, location.top, color=triangDown ? color.new(color.red, 0) : color.new(color.yellow, 0))
plotshape(insideThreshold, 'inside threshold', shape.diamond, location.top, color.new(color.white, 0) )
// Draw lines and labels for targets and stop loss
var line stopLossLine = na
var line entryLine = na
var line targetLine1 = na
var line targetLine2 = na
var line targetLine3 = na
var label stopLossLabel = na
var label entryLabel = na
var label targetLabel1 = na
var label targetLabel2 = na
var label targetLabel3 = na
// Clear previous lines and labels if a new trend is confirmed
if upTrend and triangUp and count_up == 1
// Clear previous lines and labels
line.delete(stopLossLine)
line.delete(entryLine)
line.delete(targetLine1)
line.delete(targetLine2)
line.delete(targetLine3)
label.delete(stopLossLabel)
label.delete(entryLabel)
label.delete(targetLabel1)
label.delete(targetLabel2)
label.delete(targetLabel3)
// Draw new lines + 10 bars into the future
stopLossLine := line.new(bar_index, stopLossLevel, last_bar_index + 10, stopLossLevel, color = color.red, width = 2)
entryLine := line.new(bar_index, close, last_bar_index + 10, close, color = color.green, width = 2)
targetLine1 := line.new(bar_index, targetLevel1, last_bar_index + 10, targetLevel1, color = color.blue, width = 2)
if saveEntryBuy
targetLine2 := line.new(bar_index, targetLevel2, last_bar_index + 10, targetLevel2, color = color.blue, width = 2)
targetLine3 := line.new(bar_index, targetLevel3, last_bar_index + 10, targetLevel3, color = color.blue, width = 2)
// Set the newLinesDrawn flag to true
newLinesDrawn := true
// Draw new labels with three decimal places
stopLossLabel := label.new(last_bar_index + 10, stopLossLevel, 'SL: ' + str.tostring(stopLossLevel, '#.###'), style = label.style_label_left, color = color.red, textcolor = color.white)
entryLabel := label.new(last_bar_index + 10, close, 'Entry: ' + str.tostring(close, '#.###'), style = label.style_label_left, color = color.green, textcolor = color.white)
targetLabel1 := label.new(last_bar_index + 10, targetLevel1, 'TP 1: ' + str.tostring(targetLevel1, '#.###'), style = label.style_label_left, color = color.blue, textcolor = color.white)
if saveEntryBuy
targetLabel2 := label.new(last_bar_index + 10, targetLevel2, 'TP 2: ' + str.tostring(targetLevel2, '#.###'), style = label.style_label_left, color = color.blue, textcolor = color.white)
targetLabel3 := label.new(last_bar_index +10, targetLevel3, 'TP 3: ' + str.tostring(targetLevel3, '#.###'), style = label.style_label_left, color = color.blue, textcolor = color.white)
if downTrend and triangDown and count_down == 1
// Clear previous lines and labels
line.delete(stopLossLine)
line.delete(entryLine)
line.delete(targetLine1)
line.delete(targetLine2)
line.delete(targetLine3)
label.delete(stopLossLabel)
label.delete(entryLabel)
label.delete(targetLabel1)
label.delete(targetLabel2)
label.delete(targetLabel3)
// Draw new lines + 10 bars into the future
stopLossLine := line.new(bar_index, stopLossLevel, last_bar_index + 10, stopLossLevel, color = color.red, width = 2)
entryLine := line.new(bar_index, close, last_bar_index + 10, close, color = color.green, width = 2)
targetLine1 := line.new(bar_index, targetLevel1, last_bar_index + 10, targetLevel1, color = color.blue, width = 2)
if saveEntrySell
targetLine2 := line.new(bar_index, targetLevel2, last_bar_index + 10, targetLevel2, color = color.blue, width = 2)
targetLine3 := line.new(bar_index, targetLevel3, last_bar_index + 10, targetLevel3, color = color.blue, width = 2)
// Set the newLinesDrawn flag to true
newLinesDrawn := true
// Draw new labels with three decimal places
stopLossLabel := label.new(last_bar_index + 10, stopLossLevel, 'SL: ' + str.tostring(stopLossLevel, '#.###'), style = label.style_label_left, color = color.red, textcolor = color.white)
entryLabel := label.new(last_bar_index + 10, close, 'Entry: ' + str.tostring(close, '#.###'), style = label.style_label_left, color = color.green, textcolor = color.white)
targetLabel1 := label.new(last_bar_index + 10, targetLevel1, 'TP 1: ' + str.tostring(targetLevel1, '#.###'), style = label.style_label_left, color = color.blue, textcolor = color.white)
if saveEntrySell
targetLabel2 := label.new(last_bar_index + 10, targetLevel2, 'TP 2: ' + str.tostring(targetLevel2, '#.###'), style = label.style_label_left, color = color.blue, textcolor = color.white)
targetLabel3 := label.new(last_bar_index + 10, targetLevel3, 'TP 3: ' + str.tostring(targetLevel3, '#.###'), style = label.style_label_left, color = color.blue, textcolor = color.white)
// Plot momentum strength/direction
plotarrow(showDir ? dir : na, 'Momentum Strength/Direction', color.new(color.aqua, 50), color.new(color.orange, 50), show_last = 500)
plot(showBB ? bbUpper : na, 'BBUpper', color.new(color.blue, 25), show_last = 500)
plot(showBB ? bbLower : na, 'BBLower', color.new(color.blue, 25), show_last = 500)
plot(showKC ? kcUpper : na, 'KCUpper', color.new(color.red, 25), show_last = 500)
plot(showKC ? kcLower : na, 'KCLower', color.new(color.red, 25), show_last = 500)
//======================================================================================================================
// Trigger alert when squeeze is released
if sqzOn and not sqzOn
alert('Squeeze On : '+ syminfo.tickerid + ' | ' + timeframe.period, alert.freq_once_per_bar_close)
if sqzOff and not sqzOff // Only trigger alert if the squeeze was previously on
alert('Squeeze Off : '+ syminfo.tickerid + ' | ' + timeframe.period, alert.freq_once_per_bar_close)
if triangDown and not triangDown // Only trigger alert if the squeeze was previously on
alert('Weak TrendDown or Reverse : '+ syminfo.tickerid + ' | ' + timeframe.period, alert.freq_once_per_bar_close)
if triangUp and not triangUp // Only trigger alert if the squeeze was previously on
alert('Weak TrendUp or Reverse : '+ syminfo.tickerid + ' | ' + timeframe.period, alert.freq_once_per_bar_close)
if insideThreshold and not insideThreshold //trigger when entering threshold channel
alert('inside threshold : '+ syminfo.tickerid + ' | ' + timeframe.period, alert.freq_once_per_bar_close)
if triangUpR and triangUp
alert('Trend Up Cont : '+ syminfo.tickerid + ' | ' + timeframe.period, alert.freq_once_per_bar_close)
if triangDownR and triangDown
alert('Trend Down Cont : '+ syminfo.tickerid + ' | ' + timeframe.period, alert.freq_once_per_bar_close)
// Alert for trend change when new lines and labels are drawn
if newLinesDrawn
saveEntry = addsave ? 'safe' : 'adrenaline'
trendType = upTrend ? 'Buy' : 'Sell'
stopLossValue = str.tostring(stopLossLevel, '#.###')
entryValue = str.tostring(close, '#.###')
targetValue1 = str.tostring(targetLevel1, '#.###')
targetValue2 = saveEntryBuy or saveEntrySell ? str.tostring(targetLevel2, '#.###') : '---'
targetValue3 = saveEntryBuy or saveEntrySell ? str.tostring(targetLevel3, '#.###') : '---'
alertMessage = 'Mode : '+ saveEntry +' ' +
'Pair : ' + syminfo.tickerid + ' | ' + timeframe.period + ' ' +
'Trend : ' + trendType + ' ' +
'SL : ' + stopLossValue + ' ' +
'Ent : ' + entryValue + ' ' +
'TP1 : ' + targetValue1 + ' ' +
'TP2 : ' + targetValue2 + ' ' +
'TP3 : ' + targetValue3
if alertTrendChange
alert(alertMessage, alert.freq_once_per_bar_close)
// Reset the newLinesDrawn flag
newLinesDrawn := false
ST+SQZMOM v.3// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © syahdan modifying LazyBear script and many sources
//======================================================================================================================
//@version=6
indicator('ST+SQZMOM v.3', overlay = true, max_lines_count = 40)
import TradingView/ta/9
//======================================================================================================================
//groups
Alerts = 'alert'
Supertrend = 'supertrend'
SqzMom = 'sqzMom'
Sma = 'ma'
TS = 'tp/sl'
// Input switches for alerts
alertTrendChange = input.bool(true, title='Enable Trend Change Alert', group = Alerts)
alertSQZMOM = input.bool(true, title='Enable SQZMOM Alerts', group = Alerts)
// Supertrend Inputs
atrPeriod = input.int(10, 'ATR Length', minval = 1, group = Supertrend)
factor = input.float(2.5, 'Factor', minval = 0.01, step = 0.01, group = Supertrend)
// Squeeze Momentum Indicator Inputs
sources = input(close, 'Source', group = SqzMom)
bbLength = input.int(20, 'Bollinger Bands Length', minval = 1, group = SqzMom)
bbMult = input.float(2, 'Bollinger Bands MultFactor', step = 0.25, group = SqzMom)
kcLength = input(20, 'Keltner\'s Channel Length', group = SqzMom)
kcMult = input.float(1.5, 'Keltner\'s Channel MultFactor', step = 0.25, group = SqzMom)
useTrueRange = input(true, 'Use TrueRange (Keltner\'s Channel)', group = SqzMom)
addSignal = input.bool(false, title = 'add Signal to Calculate direction', group = SqzMom)
signalLength = input(5, 'Signal Length', group = SqzMom)
tooltip_sqz = 'show momentum direction, BB band and KC band'
showBB = input.bool(false, 'show BBand', tooltip = tooltip_sqz, group = SqzMom)
showKC = input.bool(false, 'show keltner channel', tooltip = tooltip_sqz, group = SqzMom)
showDir= input.bool(false, 'show squeeze direction', tooltip = tooltip_sqz, group = SqzMom)
// Customizable thresholds
lowerThreshold = input(-1.0, title = 'Lower Threshold', group = SqzMom)
upperThreshold = input(1.0, title = 'Upper Threshold', group = SqzMom)
// SMA Input settings
lengthMA = input(200, title="MA Period", group = Sma)
showMA = input.bool(true, title="Show MA", group = Sma)
addsave = input.bool(true, title = 'add MA as filter', group = Alerts)
// Hardcoded tp + sl multipliers
targetMultiplier1 = input.int(1, 'TP1 multiply', minval = 1, group = TS)
targetMultiplier2 = input.int(2, 'TP2 multiply', minval = 2, group = TS)
targetMultiplier3 = input.int(3, 'TP3 multiply', minval = 3, group = TS)
stopLossMultiplier = input.int(3, 'SL multiply', minval = 3, group = TS)
//======================================================================================================================
// Calculate Supertrend
= ta.supertrend(factor, atrPeriod)
// Plot the Supertrend line
plot(supertrend, color = direction < 0 ? color.green : color.red, title = 'ST', style = plot.style_stepline_diamond)
// Determine if the trend is up or down
upTrend = direction < 0
downTrend = direction > 0
// Track previous trend state
var int previousDirection = na
previousDirection := upTrend ? 1 : -1
// Calculate ATR for targets and stop loss
atrValue = ta.atr(atrPeriod)
// Initialize target and stop loss levels
var float entryPrice = na
var float targetLevel1 = na
var float targetLevel2 = na
var float targetLevel3 = na
var float stopLossLevel = na
// Initialize counters for lines and labels
var int count_up = 0
var int count_down = 0
// Initialize a new variable to track if new lines and labels are drawn
var bool newLinesDrawn = false
// Calculate BB
basis = ta.sma(sources, bbLength)
dev = bbMult * ta.stdev(sources, bbLength)
bbUpper = basis + dev
bbLower = basis - dev
// Calculate KC
ma = ta.sma(sources, kcLength)
trRange = useTrueRange ? ta.tr : high - low
rangema = ta.sma(trRange, kcLength)
kcUpper = ma + rangema * kcMult
kcLower = ma - rangema * kcMult
sqzOn = bbLower > kcLower and bbUpper < kcUpper
sqzOff = bbLower < kcLower and bbUpper > kcUpper
noSqz = sqzOn == false and sqzOff == false
val = ta.linreg(sources - math.avg(math.avg(ta.highest(high, kcLength), ta.lowest(low, kcLength)), ta.sma(sources, kcLength)), kcLength, 0)
signal = ta.sma(val, signalLength)
dir = not addSignal ? val : val - signal
// Calculate SMA
MA = ta.sma(sources,lengthMA)
saveEntryBuy = addsave ? MA < close : false
saveEntrySell = addsave ? MA > close : false
//======================================================================================================================
// Plot SMA
plot(showMA ? MA : na, color=color.white, linewidth=2, title='MA')
triangUp = sqzOff and dir > dir and dir >= upperThreshold
triangDown = sqzOff and dir < dir and dir <= lowerThreshold
triangUpR = sqzOff and dir < dir and dir >= upperThreshold
triangDownR = sqzOff and dir > dir and dir <= lowerThreshold
insideThreshold = sqzOff and upperThreshold > dir and dir > lowerThreshold
// Calculate target and stop loss levels
if upTrend and triangUp
entryPrice := close
targetLevel1 := close + atrValue * targetMultiplier1
targetLevel2 := close + atrValue * targetMultiplier2
targetLevel3 := close + atrValue * targetMultiplier3
stopLossLevel := close - atrValue * stopLossMultiplier
count_up := count_up + 1
count_down := 0
else if downTrend and triangDown
entryPrice := close
targetLevel1 := close - atrValue * targetMultiplier1
targetLevel2 := close - atrValue * targetMultiplier2
targetLevel3 := close - atrValue * targetMultiplier3
stopLossLevel := close + atrValue * stopLossMultiplier
count_down := count_down + 1
count_up := 0
// Plotting Squeeze Momentum Indicator
plotshape(sqzOn or noSqz, 'In Squeeze', shape.square, location.top, color=sqzOn or noSqz ? color.new(color.orange, 0) : color.new(color.white, 0))
plotshape(triangUp or triangUpR, 'Squeeze Release UpTrend', shape.triangleup, location.top, color=triangUp ? color.new(color.green, 0) : color.new(color.yellow, 0))
plotshape(triangDown or triangDownR, 'Squeeze Release DownTrend', shape.triangledown, location.top, color=triangDown ? color.new(color.red, 0) : color.new(color.yellow, 0))
plotshape(insideThreshold, 'inside threshold', shape.diamond, location.top, color.new(color.white, 0) )
// Draw lines and labels for targets and stop loss
var line stopLossLine = na
var line entryLine = na
var line targetLine1 = na
var line targetLine2 = na
var line targetLine3 = na
var label stopLossLabel = na
var label entryLabel = na
var label targetLabel1 = na
var label targetLabel2 = na
var label targetLabel3 = na
// Clear previous lines and labels if a new trend is confirmed
if upTrend and triangUp and count_up == 1
// Clear previous lines and labels
line.delete(stopLossLine)
line.delete(entryLine)
line.delete(targetLine1)
line.delete(targetLine2)
line.delete(targetLine3)
label.delete(stopLossLabel)
label.delete(entryLabel)
label.delete(targetLabel1)
label.delete(targetLabel2)
label.delete(targetLabel3)
// Draw new lines + 10 bars into the future
stopLossLine := line.new(bar_index, stopLossLevel, last_bar_index + 10, stopLossLevel, color = color.red, width = 2)
entryLine := line.new(bar_index, close, last_bar_index + 10, close, color = color.green, width = 2)
targetLine1 := line.new(bar_index, targetLevel1, last_bar_index + 10, targetLevel1, color = color.blue, width = 2)
if saveEntryBuy
targetLine2 := line.new(bar_index, targetLevel2, last_bar_index + 10, targetLevel2, color = color.blue, width = 2)
targetLine3 := line.new(bar_index, targetLevel3, last_bar_index + 10, targetLevel3, color = color.blue, width = 2)
// Set the newLinesDrawn flag to true
newLinesDrawn := true
// Draw new labels with three decimal places
stopLossLabel := label.new(last_bar_index + 10, stopLossLevel, 'SL: ' + str.tostring(stopLossLevel, '#.###'), style = label.style_label_left, color = color.red, textcolor = color.white)
entryLabel := label.new(last_bar_index + 10, close, 'Entry: ' + str.tostring(close, '#.###'), style = label.style_label_left, color = color.green, textcolor = color.white)
targetLabel1 := label.new(last_bar_index + 10, targetLevel1, 'TP 1: ' + str.tostring(targetLevel1, '#.###'), style = label.style_label_left, color = color.blue, textcolor = color.white)
if saveEntryBuy
targetLabel2 := label.new(last_bar_index + 10, targetLevel2, 'TP 2: ' + str.tostring(targetLevel2, '#.###'), style = label.style_label_left, color = color.blue, textcolor = color.white)
targetLabel3 := label.new(last_bar_index +10, targetLevel3, 'TP 3: ' + str.tostring(targetLevel3, '#.###'), style = label.style_label_left, color = color.blue, textcolor = color.white)
if downTrend and triangDown and count_down == 1
// Clear previous lines and labels
line.delete(stopLossLine)
line.delete(entryLine)
line.delete(targetLine1)
line.delete(targetLine2)
line.delete(targetLine3)
label.delete(stopLossLabel)
label.delete(entryLabel)
label.delete(targetLabel1)
label.delete(targetLabel2)
label.delete(targetLabel3)
// Draw new lines + 10 bars into the future
stopLossLine := line.new(bar_index, stopLossLevel, last_bar_index + 10, stopLossLevel, color = color.red, width = 2)
entryLine := line.new(bar_index, close, last_bar_index + 10, close, color = color.green, width = 2)
targetLine1 := line.new(bar_index, targetLevel1, last_bar_index + 10, targetLevel1, color = color.blue, width = 2)
if saveEntrySell
targetLine2 := line.new(bar_index, targetLevel2, last_bar_index + 10, targetLevel2, color = color.blue, width = 2)
targetLine3 := line.new(bar_index, targetLevel3, last_bar_index + 10, targetLevel3, color = color.blue, width = 2)
// Set the newLinesDrawn flag to true
newLinesDrawn := true
// Draw new labels with three decimal places
stopLossLabel := label.new(last_bar_index + 10, stopLossLevel, 'SL: ' + str.tostring(stopLossLevel, '#.###'), style = label.style_label_left, color = color.red, textcolor = color.white)
entryLabel := label.new(last_bar_index + 10, close, 'Entry: ' + str.tostring(close, '#.###'), style = label.style_label_left, color = color.green, textcolor = color.white)
targetLabel1 := label.new(last_bar_index + 10, targetLevel1, 'TP 1: ' + str.tostring(targetLevel1, '#.###'), style = label.style_label_left, color = color.blue, textcolor = color.white)
if saveEntrySell
targetLabel2 := label.new(last_bar_index + 10, targetLevel2, 'TP 2: ' + str.tostring(targetLevel2, '#.###'), style = label.style_label_left, color = color.blue, textcolor = color.white)
targetLabel3 := label.new(last_bar_index + 10, targetLevel3, 'TP 3: ' + str.tostring(targetLevel3, '#.###'), style = label.style_label_left, color = color.blue, textcolor = color.white)
// Plot momentum strength/direction
plotarrow(showDir ? dir : na, 'Momentum Strength/Direction', color.new(color.aqua, 50), color.new(color.orange, 50), show_last = 500)
plot(showBB ? bbUpper : na, 'BBUpper', color.new(color.blue, 25), show_last = 500)
plot(showBB ? bbLower : na, 'BBLower', color.new(color.blue, 25), show_last = 500)
plot(showKC ? kcUpper : na, 'KCUpper', color.new(color.red, 25), show_last = 500)
plot(showKC ? kcLower : na, 'KCLower', color.new(color.red, 25), show_last = 500)
//======================================================================================================================
// Trigger alert when squeeze is released
if sqzOn and not sqzOn
alert('Squeeze On : '+ syminfo.tickerid + ' | ' + timeframe.period, alert.freq_once_per_bar_close)
if sqzOff and not sqzOff // Only trigger alert if the squeeze was previously on
alert('Squeeze Off : '+ syminfo.tickerid + ' | ' + timeframe.period, alert.freq_once_per_bar_close)
if triangDown and not triangDown // Only trigger alert if the squeeze was previously on
alert('Weak TrendDown or Reverse : '+ syminfo.tickerid + ' | ' + timeframe.period, alert.freq_once_per_bar_close)
if triangUp and not triangUp // Only trigger alert if the squeeze was previously on
alert('Weak TrendUp or Reverse : '+ syminfo.tickerid + ' | ' + timeframe.period, alert.freq_once_per_bar_close)
if insideThreshold and not insideThreshold //trigger when entering threshold channel
alert('inside threshold : '+ syminfo.tickerid + ' | ' + timeframe.period, alert.freq_once_per_bar_close)
if triangUpR and triangUp
alert('Trend Up Cont : '+ syminfo.tickerid + ' | ' + timeframe.period, alert.freq_once_per_bar_close)
if triangDownR and triangDown
alert('Trend Down Cont : '+ syminfo.tickerid + ' | ' + timeframe.period, alert.freq_once_per_bar_close)
// Alert for trend change when new lines and labels are drawn
if newLinesDrawn
saveEntry = addsave ? 'safe' : 'adrenaline'
trendType = upTrend ? 'Buy' : 'Sell'
stopLossValue = str.tostring(stopLossLevel, '#.###')
entryValue = str.tostring(close, '#.###')
targetValue1 = str.tostring(targetLevel1, '#.###')
targetValue2 = saveEntryBuy or saveEntrySell ? str.tostring(targetLevel2, '#.###') : '---'
targetValue3 = saveEntryBuy or saveEntrySell ? str.tostring(targetLevel3, '#.###') : '---'
alertMessage = 'Mode : '+ saveEntry +' ' +
'Pair : ' + syminfo.tickerid + ' | ' + timeframe.period + ' ' +
'Trend : ' + trendType + ' ' +
'SL : ' + stopLossValue + ' ' +
'Ent : ' + entryValue + ' ' +
'TP1 : ' + targetValue1 + ' ' +
'TP2 : ' + targetValue2 + ' ' +
'TP3 : ' + targetValue3
if alertTrendChange
alert(alertMessage, alert.freq_once_per_bar_close)
// Reset the newLinesDrawn flag
newLinesDrawn := false
Candle Volume LabelsProvides real time volume labels, like volume candles, for your charts. Allows you to find volume more quickly when analyzing trade possibilities.
Benzer Mumlar Bulucu (4 Saatlik)//@version=5
indicator("Benzer Mumlar Bulucu (4 Saatlik)", overlay=true)
// Mum özellikleri
body_size = math.abs(close - open) // Mumun gövde büyüklüğü
upper_wick = high - math.max(close, open) // Üst fitil uzunluğu
lower_wick = math.min(close, open) - low // Alt fitil uzunluğu
candle_range = high - low // Mumun toplam uzunluğu
// Benzerlik eşiği (kendi kriterlerinize göre değiştirebilirsiniz)
body_threshold = 0.2 // Gövde uzunluğunun toplam mum aralığına oranı (örneğin %20)
wick_threshold = 0.1 // Fitil uzunluğunun toplam mum aralığına oranı (örneğin %10)
// Benzer mum tespiti
is_similar = (body_size <= (candle_range * body_threshold)) and
(upper_wick <= (candle_range * wick_threshold)) and
(lower_wick <= (candle_range * wick_threshold))
// Grafikte işaretleme
plotshape(is_similar, style=shape.triangleup, location=location.abovebar, color=color.green, size=size.small, title="Benzer Mum")
Timezone Highlight v1.0Features Explained:
Customizable Time Settings:
Easily adjust the opening and closing times for each session to fit your local time zone or trading preferences.
Color-Coded Sessions:
New York : Blue
London : Yellow
Tokyo : Red
Sydney : Green
You can modify the colors or transparency in the script.
Dynamic Highlighting:
Automatically highlights the active trading session based on the current time.
This Pine Script is user-friendly and designed to provide immediate visual insights into global market activity. Let me know if you need further enhancements!
Its my first script so please don't be too strict!
ADX Range FilterThis indicator calculates the ADX with customizable smoothing and DI lengths. The ADX is plotted as an area chart that changes color based on a user-defined midline:
Orange Area: Strong trend (ADX above midline).
Blue Area: Weak trend or range (ADX below midline).
A white midline is also plotted for easy reference.
Key Features:
Adjustable ADX Smoothing, DI Length, and Midline.
Clear area chart visualization of ADX.
Dynamic color coding for quick trend assessment.
Uses for Traders:
Filter Trades: Avoid trend-following trades in ranging markets (ADX below midline) and focus on stronger trends (ADX above midline).
Confirm Trend Strength: Use ADX to confirm trend strength before entering trades, especially when combined with other indicators.
Adapt to Market Conditions: Adjust trading strategies based on the ADX reading (trend-following in strong trends, range-bound in weak trends).
Identify Actively Traded Assets: The default DI of 10 is better suited to identifying trends in actively traded assets.
Disclaimer:
The ADX Range Filter is a tool to aid in trading decisions, not a standalone solution. Combine it with other analysis methods, risk management, and a solid trading plan. Past performance does not guarantee future results.
NY session open8 am line for backtesting. easy way to backtest with a line at 8 am. so that you dont have to draw them all on yourself
13 EMA Cross - Daily Supportwhen 13 ema cross 34 ema mark next day candle high and low. when high breaks wait for retest when retest happens after breakout go for 1:2 ratio
Multi-EMA Indicatorit is a multi-EMA indicator showing 20, 50, 100, 200 EMAs and can be used for potential market reversal, breakout trading and etc. the lines color can be changed as well
