Bands and Channels
IN BOLLONGER BAND SETTING CHANGE (STDDEV) 2 TO 1.5 //@version=6
indicator(shorttitle="BB", title="Bollinger Bands", overlay=true, timeframe="", timeframe_gaps=true)
length = input.int(20, minval=1)
maType = input.string("SMA", "Basis MA Type", options = )
src = input(close, title="Source")
mult = input.float(1.5, minval=0.001, maxval=50, title="StdDev")
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)
basis = ma(src, length, maType)
dev = mult * ta.stdev(src, length)
upper = basis + dev
lower = basis - dev
offset = input.int(0, "Offset", minval = -500, maxval = 500, display = display.data_window)
plot(basis, "Basis", color=#2962FF, offset = offset)
p1 = plot(upper, "Upper", color=#F23645, offset = offset)
p2 = plot(lower, "Lower", color=#089981, offset = offset)
fill(p1, p2, title = "Background", color=color.rgb(33, 150, 243, 95))
IN BOLLONGER BAND SETTING CHANGE (STDDEV) 2 TO 1.5 //@version=6
indicator(shorttitle="BB", title="Bollinger Bands", overlay=true, timeframe="", timeframe_gaps=true)
length = input.int(20, minval=1)
maType = input.string("SMA", "Basis MA Type", options = )
src = input(close, title="Source")
mult = input.float(1.5, minval=0.001, maxval=50, title="StdDev")
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)
basis = ma(src, length, maType)
dev = mult * ta.stdev(src, length)
upper = basis + dev
lower = basis - dev
offset = input.int(0, "Offset", minval = -500, maxval = 500, display = display.data_window)
plot(basis, "Basis", color=#2962FF, offset = offset)
p1 = plot(upper, "Upper", color=#F23645, offset = offset)
p2 = plot(lower, "Lower", color=#089981, offset = offset)
fill(p1, p2, title = "Background", color=color.rgb(33, 150, 243, 95))
Trend Cloud with Signals buy and sell - KetbotAIThis indicator is designed to help traders identify key support and resistance levels, trends, and potential entry and exit points. Below is a breakdown of its features and how to use them effectively.
Features:
Dynamic Support and Resistance Lines:
The blue line acts as a dynamic support level where the price is likely to bounce upward.
The orange line serves as a dynamic resistance level where the price is likely to reverse downward.
These lines adjust based on market conditions, helping traders identify key price zones.
Directional Arrows:
- Red arrows indicate potential sell signals or bearish trend reversals, suggesting downward movement.
- Green arrows indicate potential buy signals or bullish trend reversals, suggesting upward movement.
These signals can be used for confirming trade entries.
Shaded Zones (Momentum Zones):
- The red zone highlights areas of bearish momentum, indicating selling pressure.
- The green zone highlights areas of bullish momentum, indicating buying pressure.
These zones provide a quick visual representation of market sentiment.
How to Trade with This Indicator:
Identify the Trend:
- Bullish Trend: If the price is above the orange line and within the green zone, it indicates strong upward momentum.
- Bearish Trend: If the price is below the blue line and within the red zone, it indicates strong downward momentum.
Enter Trades:
Buy Opportunities:
Look for green arrows near the blue line or within the green shaded zone.
Confirm the signal by observing bullish price action (e.g., higher highs or strong green candles).
Sell Opportunities:
Look for red arrows near the orange line or within the red shaded zone.
Confirm the signal by observing bearish price action (e.g., lower lows or strong red candles).
Set Stop-Loss and Take-Profit:
For buy trades:
Place your stop-loss just below the blue line or the recent swing low.
Set your take-profit near the orange line or at key resistance levels.
For sell trades:
Place your stop-loss just above the orange line or the recent swing high.
Set your take-profit near the blue line or at key support levels.
Combine with Multi-Timeframe Analysis:
Use this indicator alongside higher timeframes (e.g., 1H or 4H) to align your trades with the broader trend.
Pro Tips for Effective Use:
Use Alerts:
Set alerts for when the price touches the blue or orange lines or when the arrows appear, so you never miss a trade opportunity.
Validate with Other Indicators:
Pair this indicator with tools like RSI, MACD, or volume analysis to confirm breakouts or reversals.
Backtest and Optimize:
Test this indicator on historical data to refine your strategy and identify its strengths and weaknesses.
Adapt to Market Conditions:
For trending markets, follow the directional momentum.
For ranging markets, trade the bounces off the blue and orange lines.
This indicator is a powerful tool for traders looking to optimize their gold trading strategies. Its visual cues make it easy to spot trends and potential reversals. Let us know how it works for you or if you'd like to see additional features in future updates! 🚀
High Win Rate BTC Strategy趋势确认：
使用短期EMA（20日）和长期EMA（50日）来确认市场趋势。
短期EMA上穿长期EMA表示上升趋势，反之表示下降趋势。
布林带突破：
利用布林带的突破来确认市场的波动性和潜在趋势的开始。
当价格突破布林带上轨时做多，跌破下轨时做空。
KDJ指标：
使用KDJ指标来判断市场的超买超卖情况。
在超卖区形成金叉时做多，在超买区形成死叉时做空。
止损和止盈：
使用ATR指标来动态设置止损和止盈，确保在盈利时锁定足够的利润，同时在亏损时止损不至于太大。
Advanced Trading Strategy max//@version=5
strategy("Advanced Trading Strategy", overlay=true)
// Parâmetros de entrada
shortPeriod = input.int(9, title="Short Period", minval=1)
longPeriod = input.int(21, title="Long Period", minval=1)
volumeThreshold = input.float(1.5, title="Volume Threshold Multiplier", minval=0.1)
volatilityPeriod = input.int(14, title="Volatility Period", minval=1)
// Cálculo das médias móveis
shortSMA = ta.sma(close, shortPeriod)
longSMA = ta.sma(close, longPeriod)
// Cálculo do volume médio
averageVolume = ta.sma(volume, longPeriod)
// Cálculo da volatilidade (ATR - Average True Range)
volatility = ta.atr(volatilityPeriod)
// Condições de compra e venda baseadas em médias móveis
maBuyCondition = ta.crossover(shortSMA, longSMA)
maSellCondition = ta.crossunder(shortSMA, longSMA)
// Verificação do volume
volumeCondition = volume > averageVolume * volumeThreshold
// Condição de volatilidade (volatilidade acima de um certo nível)
volatilityCondition = volatility > ta.sma(volatility, volatilityPeriod)
// Condições finais de compra e venda
buyCondition = maBuyCondition and volumeCondition and volatilityCondition
sellCondition = maSellCondition and volumeCondition and volatilityCondition
// Plotando as médias móveis
plot(shortSMA, title="Short SMA", color=color.red)
plot(longSMA, title="Long SMA", color=color.blue)
// Sinal de compra
if (buyCondition)
strategy.entry("Buy", strategy.long)
// Sinal de venda
if (sellCondition)
strategy.close("Buy")
// Plotando sinais no gráfico
plotshape(series=buyCondition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=sellCondition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Configurando alertas
alertcondition(buyCondition, title="Buy Alert", message="Buy Signal Triggered")
alertcondition(sellCondition, title="Sell Alert", message="Sell Signal Triggered")
5 EMA Crosses 15 EMA Buy/Sell Signal5 EMA Crosses 15 EMA Buy/Sell Signal
Explanation:
1. EMA Calculation:
• The short EMA uses a length of 5.
• The long EMA uses a length of 15.
2. Buy/Sell Signals:
• A buy signal is plotted when the short EMA crosses above the long EMA.
• A sell signal is plotted when the short EMA crosses below the long EMA.
3. Visual Cues:
• Buy signals are indicated with a green label below the bar.
• Sell signals are indicated with a red label above the bar.
• Both EMAs are plotted for reference.
Improved EMA Crossover StrategyImproved EMA Crossover Strategy for XAU/USD
This trading strategy utilizes a classic Exponential Moving Average (EMA) crossover system, enhanced with dynamic risk management features tailored for trading XAU/USD (Gold). The strategy seeks to capitalize on momentum shifts in the market by identifying potential entry and exit points based on the interaction of two EMAs.
Adaptive Bollinger Bands Buy Signal-By Anas Albeikits an advanced version of bollinger bands indicator that show the best signals for closing under the lower band so you can enter long from there
GT_VIPПокупка/Продажа индикатор основан на уровнях RSI
Настройка индикатора на дневку, 5 дней и недели
Period - 10
Oversold - 54
Настройка индикатора на месяце
Period - 10
Oversold - 40
MA + RSI Strategy//@version=5
strategy ("MA + RSI Strategy", overlay=true)
// Input Parameters
fastLength = input.int(9, title="Fast Moving Average Length")
slowLength = input.int(21, title="Slow Moving Average Length")
rsiLength = input.int(14, title="RSI Length")
rsiOverbought = input.int(70, title="RSI Overbought Level")
rsiOversold = input.int(30, title="RSI Oversold Level")
// Moving Averages
fastMA = ta.sma(close, fastLength)
slowMA = ta.sma(close, slowLength)
// RSI
rsi = ta.rsi(close, rsiLength)
// Buy and Sell Conditions
longCondition = ta.crossover(fastMA, slowMA) and rsi < rsiOversold
shortCondition = ta.crossunder(fastMA, slowMA) and rsi > rsiOverbought
// Plotting Moving Averages
plot(fastMA, color=color.blue, title="Fast MA")
plot(slowMA, color=color.red, title="Slow MA")
// Signals
plotshape(series=longCondition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=shortCondition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Strategy Entry and Exit
if longCondition
strategy.entry("Buy", strategy.long)
if shortCondition
strategy.entry("Sell", strategy.short)
MA + RSI Strategy//@version=5
indicator("Buy and Sell Indicator", overlay=true)
// Input Parameters
fastLength = input.int(9, title="Fast Moving Average Length")
slowLength = input.int(21, title="Slow Moving Average Length")
rsiLength = input.int(14, title="RSI Length")
rsiOverbought = input.int(70, title="RSI Overbought Level")
rsiOversold = input.int(30, title="RSI Oversold Level")
// Calculations
fastMA = ta.sma(close, fastLength)
slowMA = ta.sma(close, slowLength)
rsi = ta.rsi(close, rsiLength)
// Buy and Sell Conditions
buyCondition = ta.crossover(fastMA, slowMA) and rsi < rsiOversold
sellCondition = ta.crossunder(fastMA, slowMA) and rsi > rsiOverbought
// Plot Buy and Sell Signals
plotshape(series=buyCondition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=sellCondition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Plot Moving Averages
plot(fastMA, color=color.blue, title="Fast MA")
plot(slowMA, color=color.orange, title="Slow MA")
// Alerts
alertcondition(buyCondition, title="Buy Alert", message="Buy Signal Triggered!")
alertcondition(sellCondition, title="Sell Alert", message="Sell Signal Triggered!")
High-Sensitivity Breakout IndicatorJust a scalping indicator designed to help make profit in the short term
Quard Bollinger BandsKey Parameters
BB1 (Yellow, Lower Band)
Period (bb1_length): 5
The number of periods for the Simple Moving Average (SMA) used as the basis of this band.
Calculation:
Basis = SMA(close, 5)
Lower Band = Basis - 2 * Standard Deviation(close, 5)
Purpose: Short-term volatility indicator for immediate price movement.
Plotting:
Lower band only, in yellow with a line width of 1.
BB2 (Gray, Lower Band)
Period (bb2_length): 60
The number of periods for the SMA basis.
Calculation:
Basis = SMA(close, 60)
Lower Band = Basis - 2 * Standard Deviation(close, 60)
Purpose: Medium-term volatility indicator.
Plotting:
Lower band only, in gray with a line width of 3.
BB3 (Green, Upper Band)
Period (bb3_length): 300
The number of periods for the SMA basis.
Calculation:
Basis = SMA(close, 300)
Upper Band = Basis + 2 * Standard Deviation(close, 300)
Purpose: Long-term volatility indicator to identify price extremes over an extended period.
Plotting:
Upper band only, in green with a line width of 2.
BB4 (Blue, Upper Band)
Period (bb4_length): 20
The number of periods for the SMA basis.
Multiplier (bb4_mult): 3
Multiplies the standard deviation for a wider band.
Calculation:
Basis = SMA(close, 20)
Upper Band = Basis + 3 * Standard Deviation(close, 20)
Purpose: Custom band with a higher multiplier to capture significant price deviations.
Plotting:
Upper band only, in blue with a line width of 1.
Code Structure and Features
Inputs:
The input.int and input.float functions allow users to customize the periods and multipliers directly from the TradingView interface.
Plotting:
The plot function draws the calculated bands on the chart.
Each band's color, title, and line width are specified for easy distinction.
Custom Bands:
The script creates a unique combination of bands with different purposes:
Short-term (BB1): Tracks rapid price changes.
Medium-term (BB2): Reflects intermediate trends.
Long-term (BB3): Indicates overall market conditions.
Custom Multiplier (BB4): Highlights larger deviations.
Use Case in Trading
Traders can use these bands to:
Identify overbought or oversold levels when prices touch or exceed the bands.
Gauge market volatility through the width of the bands.
Detect trends or reversals based on the interaction of price with the different bands.
Crypto Trend & Volume RSI/MACD IndicatorKripto da kullanılacak olup trendi ve hacimi de hesaba katılmış olup, RSI ve MACD yi ve ema20-50-111-200-365 i içeriyor, çizgi ve renkli bölge görselliğin ikisinide kullandım, alarm ve uyarı sisteminide ayarlayadık, alım dip yeşil alan ile ve satış tepe bölgeleri kırmızı alan ile gösterdim.
Market Crash Buy/Sell Signalsٹریڈنگ ویو پر آپ کے بتائے گئے ریکوائرمنٹس کے مطابق ایک انڈیکیٹر بنانے کے لیے، ہم پائن اسکرپٹ (Pine Script) استعمال کریں گے۔ آپ کا مقصد یہ ہے کہ جب مارکیٹ میں کرش ہو، تو 5 منٹ، 3 منٹ اور 15 منٹ کی ایکسپونینشل موونگ ایوریج (EMA) لائنز کی بنیاد پر بائے اور سیل سگنل ملیں۔ ہم ایک ایسا انڈیکیٹر تخلیق کریں گے جو ان سگنلز کو واضح طور پر ظاہر کرے۔
اس انڈیکیٹر میں درج ذیل بنیادی نکات شامل ہوں گے:
5 منٹ، 3 منٹ اور 15 منٹ کی EMA لائنز کی پیمائش۔
جب مارکیٹ کرش کرے (یعنی قیمت میں اچانک کمی آ جائے)، تو وہ سگنلز دیں جو بائے اور سیل کے فیصلے میں مدد کریں۔
ایک واضح سگنل بار یا اسٹرپ لائنز کی شکل میں بائے اور سیل کے لیے۔
یہاں ایک بنیادی پائن اسکرپٹ ہے جو آپ کی ضروریات کے قریب ہوسکتا ہے:
pinescript
Copy code
Support & Resistance + Range Filter + Volume Profile//@version=5
indicator("Support & Resistance + Range Filter + Volume Profile ", overlay=true, max_boxes_count=500, max_lines_count=500, max_bars_back=5000)
// ---------------------------------------------------------------------------------------------------------------------}
// 𝙐𝙎𝙀𝙍 𝙄𝙉𝙋𝙐𝙉𝙏𝙎
// ---------------------------------------------------------------------------------------------------------------------{
// Support and Resistance Inputs
int lookbackPeriod = input.int(20, "Lookback Period", minval=1, group="Support & Resistance")
int vol_len = input.int(2, "Delta Volume Filter Length", tooltip="Higher input, will filter low volume boxes", group="Support & Resistance")
float box_width = input.float(1, "Adjust Box Width", maxval=1000, minval=0, step=0.1, group="Support & Resistance")
// Range Filter Inputs
src = input(close, title="Source", group="Range Filter")
per = input.int(100, minval=1, title="Sampling Period", group="Range Filter")
mult = input.float(3.0, minval=0.1, title="Range Multiplier", group="Range Filter")
// Range Filter Colors
upColor = input.color(color.white, "Up Color", group="Range Filter")
midColor = input.color(#90bff9, "Mid Color", group="Range Filter")
downColor = input.color(color.blue, "Down Color", group="Range Filter")
// Volume Profile Inputs
vpGR = 'Volume & Sentiment Profile'
vpSH = input.bool(true, 'Volume Profile', group=vpGR)
vpUC = input.color(color.new(#5d606b, 50), ' Up Volume ', inline='VP', group=vpGR)
vpDC = input.color(color.new(#d1d4dc, 50), 'Down Volume ', inline='VP', group=vpGR)
vaUC = input.color(color.new(#2962ff, 30), ' Value Area Up', inline='VA', group=vpGR)
vaDC = input.color(color.new(#fbc02d, 30), 'Value Area Down', inline='VA', group=vpGR)
spSH = input.bool(true, 'Sentiment Profile', group=vpGR)
spUC = input.color(color.new(#26a69a, 30), ' Bullish', inline='BB', group=vpGR)
spDC = input.color(color.new(#ef5350, 30), 'Bearish', inline='BB', group=vpGR)
sdSH = input.bool(true, 'Supply & Demand Zones', group=vpGR)
sdTH = input.int(15, ' Supply & Demand Threshold %', minval=0, maxval=41, group=vpGR) / 100
sdSC = input.color(color.new(#ec1313, 80), ' Supply Zones', inline='SD', group=vpGR)
sdDC = input.color(color.new(#0094FF, 80), 'Demand Zones', inline='SD', group=vpGR)
pcSH = input.string('Developing POC', 'Point of Control', options= , inline='POC', group=vpGR)
pocC = input.color(#f44336, '', inline='POC', group=vpGR)
pocW = input.int(2, '', minval=1, inline='POC', group=vpGR)
vpVA = input.float(68, 'Value Area (%)', minval=0, maxval=100, group=vpGR) / 100
vahS = input.bool(true, 'Value Area High (VAH)', inline='VAH', group=vpGR)
vahC = input.color(#2962ff, '', inline='VAH', group=vpGR)
vahW = input.int(1, '', minval=1, inline='VAH', group=vpGR)
vlSH = input.bool(true, 'Value Area Low (VAL)', inline='VAL', group=vpGR)
valC = input.color(#2962ff, '', inline='VAL', group=vpGR)
valW = input.int(1, '', minval=1, inline='VAL', group=vpGR)
vpPT = input.string('Bar Polarity', 'Profile Polarity Method', options= , group=vpGR)
vpLR = input.string('Fixed Range', 'Profile Lookback Range', options= , group=vpGR)
vpLN = input.int(360, 'Lookback Length / Fixed Range', minval=10, maxval=5000, step=10, group=vpGR)
vpST = input.bool(true, 'Profile Stats', inline='STT', group=vpGR)
ppLS = input.string('Small', "", options= , inline='STT', group=vpGR)
lcDB = input.string('Top Right', '', options= , inline='STT', group=vpGR)
vpLV = input.bool(true, 'Profile Price Levels', inline='BBe', group=vpGR)
rpLS = input.string('Small', "", options= , inline='BBe', group=vpGR)
vpPL = input.string('Right', 'Profile Placement', options= , group=vpGR)
vpNR = input.int(100, 'Profile Number of Rows', minval=10, maxval=150, step=10, group=vpGR)
vpWD = input.float(31, 'Profile Width', minval=0, maxval=250, group=vpGR) / 100
vpHO = input.int(13, 'Profile Horizontal Offset', maxval=50, group=vpGR)
vaBG = input.bool(false, 'Value Area Background ', inline='vBG', group=vpGR)
vBGC = input.color(color.new(#2962ff, 89), '', inline='vBG', group=vpGR)
vpBG = input.bool(false, 'Profile Range Background ', inline='pBG', group=vpGR)
bgC = input.color(color.new(#2962ff, 95), '', inline='pBG', group=vpGR)
vhGR = 'Volume Histogram'
vhSH = input.bool(true, 'Volume Histogram', group=vhGR)
vmaS = input.bool(true, 'Volume MA, Length', inline='vol2', group=vhGR)
vmaL = input.int(21, '', minval=1, inline='vol2', group=vhGR)
vhUC = input.color(color.new(#26a69a, 30), ' Growing', inline='vol1', group=vhGR)
vhDC = input.color(color.new(#ef5350, 30), 'Falling', inline='vol1', group=vhGR)
vmaC = input.color(color.new(#2962ff, 0), 'Volume MA', inline='vol1', group=vhGR)
vhPL = input.string('Top', ' Placement', options= , group=vhGR)
vhHT = 11 - input.int(8, ' Hight', minval=1, maxval=10, group=vhGR)
vhVO = input.int(1, ' Vertical Offset', minval=0, maxval=20, group=vhGR) / 20
cbGR = 'Volume Weighted Colored Bars'
vwcb = input.bool(false, 'Volume Weighted Colored Bars', group=cbGR)
upTH = input.float(1.618, ' Upper Threshold', minval=1., step=.1, group=cbGR)
dnTH = input.float(0.618, ' Lower Threshold', minval=.1, step=.1, group=cbGR)
// ---------------------------------------------------------------------------------------------------------------------}
// 𝙎𝙐𝙋𝙋𝙊𝙍𝙏 𝘼𝙉𝘿 𝙍𝙀𝙎𝙄𝙎𝙏𝘼𝙉𝘾𝙀 𝘾𝘼𝙇𝘾𝙐𝙇𝘼𝙏𝙄𝙊𝙉𝙎
// ---------------------------------------------------------------------------------------------------------------------{
// Delta Volume Function
upAndDownVolume() =>
posVol = 0.0
negVol = 0.0
var isBuyVolume = true
switch
close > open => isBuyVolume := true
close < open => isBuyVolume := false
if isBuyVolume
posVol += volume
else
negVol -= volume
posVol + negVol
// Function to identify support and resistance boxes
calcSupportResistance(src, lookbackPeriod) =>
Vol = upAndDownVolume()
vol_hi = ta.highest(Vol/2.5, vol_len)
vol_lo = ta.lowest(Vol/2.5, vol_len)
var float supportLevel = na
var float resistanceLevel = na
var box sup = na
var box res = na
var color res_color = na
var color sup_color = na
// Find pivot points
pivotHigh = ta.pivothigh(src, lookbackPeriod, lookbackPeriod)
pivotLow = ta.pivotlow (src, lookbackPeriod, lookbackPeriod)
atr = ta.atr(200)
withd = atr * box_width
// Find support levels with Positive Volume
if (not na(pivotLow)) and Vol > vol_hi
supportLevel := pivotLow
topLeft = chart.point.from_index(bar_index-lookbackPeriod, supportLevel)
bottomRight = chart.point.from_index(bar_index, supportLevel-withd)
sup_color := color.from_gradient(Vol, 0, ta.highest(Vol, 25), color(na), color.new(color.green, 30))
sup := box.new(topLeft, bottomRight, border_color=color.green, border_width=1, bgcolor=sup_color, text="Vol: "+str.tostring(math.round(Vol,2)), text_color=chart.fg_color, text_size=size.small)
// Find resistance levels with Negative Volume
if (not na(pivotHigh)) and Vol < vol_lo
resistanceLevel := pivotHigh
topLeft = chart.point.from_index(bar_index-lookbackPeriod, resistanceLevel)
bottomRight = chart.point.from_index(bar_index, resistanceLevel+withd)
res_color := color.from_gradient(Vol, ta.lowest(Vol, 25), 0, color.new(color.red, 30), color(na))
res := box.new(topLeft, bottomRight, border_color=color.red, border_width=1, bgcolor=res_color, text="Vol: "+str.tostring(math.round(Vol,2)), text_color=chart.fg_color, text_size=size.small)
= calcSupportResistance(close, lookbackPeriod)
// ---------------------------------------------------------------------------------------------------------------------}
// 𝙍𝘼𝙉𝙂𝙀 𝙁𝙄𝙇𝙏𝙀𝙍 𝘾𝘼𝙇𝘾𝙐𝙇𝘼𝙏𝙄𝙊𝙉𝙎
// ---------------------------------------------------------------------------------------------------------------------{
// Smooth Average Range
smoothrng(x, t, m) =>
wper = t * 2 - 1
avrng = ta.ema(math.abs(x - x ), t)
smoothrng = ta.ema(avrng, wper) * m
smoothrng
smrng = smoothrng(src, per, mult)
// Range Filter
rngfilt(x, r) =>
rngfilt = x
rngfilt := x > nz(rngfilt ) ? x - r < nz(rngfilt ) ? nz(rngfilt ) : x - r :
x + r > nz(rngfilt ) ? nz(rngfilt ) : x + r
rngfilt
filt = rngfilt(src, smrng)
// Filter Direction
upward = 0.0
upward := filt > filt ? nz(upward ) + 1 : filt < filt ? 0 : nz(upward )
downward = 0.0
downward := filt < filt ? nz(downward ) + 1 : filt > filt ? 0 : nz(downward )
// Target Bands
hband = filt + smrng
lband = filt - smrng
// Colors
filtcolor = upward > 0 ? upColor : downward > 0 ? downColor : midColor
barcolor = src > filt and src > src and upward > 0 ? upColor :
src > filt and src < src and upward > 0 ? upColor :
src < filt and src < src and downward > 0 ? downColor :
src < filt and src > src and downward > 0 ? downColor : midColor
filtplot = plot(filt, color=filtcolor, linewidth=2, title="Range Filter")
hbandplot = plot(hband, color=color.new(upColor, 70), title="High Target")
lbandplot = plot(lband, color=color.new(downColor, 70), title="Low Target")
// Fills
fill(hbandplot, filtplot, color=color.new(upColor, 90), title="High Target Range")
fill(lbandplot, filtplot, color=color.new(downColor, 90), title="Low Target Range")
// Break Outs
longCond = bool(na)
shortCond = bool(na)
longCond := src > filt and src > src and upward > 0 or
src > filt and src < src and upward > 0
shortCond := src < filt and src < src and downward > 0 or
src < filt and src > src and downward > 0
CondIni = 0
CondIni := longCond ? 1 : shortCond ? -1 : CondIni
longCondition = longCond and CondIni == -1
shortCondition = shortCond and CondIni == 1
// Plot Buy/Sell Signals
plotshape(longCondition, title="Buy Signal", text="Buy", textcolor=color.white, style=shape.labelup, size=size.small, location=location.belowbar, color=color.new(#aaaaaa, 20))
plotshape(shortCondition, title="Sell Signal", text="Sell", textcolor=color.white, style=shape.labeldown, size=size.small, location=location.abovebar, color=color.new(downColor, 20))
// ---------------------------------------------------------------------------------------------------------------------}
// 𝙑𝙊𝙇𝙐𝙈𝙀 𝙋𝙍𝙊𝙁𝙄𝙇𝙀 𝘾𝘼𝙇𝘾𝙐𝙇𝘼𝙏𝙄𝙊𝙉𝙎
// ---------------------------------------------------------------------------------------------------------------------{
// (Include the Volume Profile calculations and visualizations from the original script here)
// ...
// ---------------------------------------------------------------------------------------------------------------------}
// 𝙑𝙄𝙎𝙐𝘼𝙇𝙄𝙕𝘼𝙏𝙄𝙊𝙉
// ---------------------------------------------------------------------------------------------------------------------{
// (Include the visualization logic from the Volume Profile script here)
// ...
// ---------------------------------------------------------------------------------------------------------------------}
// 𝘼𝙇𝙀𝙍𝙏𝙎
// ---------------------------------------------------------------------------------------------------------------------{
// (Include the alert conditions from the Volume Profile script here)
// ...
// ---------------------------------------------------------------------------------------------------------------------}
Erick Multi Stochastic (Fixed)HOW TO USED?
First Step:
Turn off the SIGNAL line...
2nd Step.
Wait all the line to go beyond overbought or oversold line.
3rd step.
Watch for DIVIRGENT in the Charts.
Multi Stochastic Indicator Description
The Multi Stochastic Indicator is a custom technical analysis tool designed to provide insights into market momentum by plotting multiple Stochastic Oscillators on the same chart. This script is ideal for traders who want to compare different time-frame Stochastics in a single view to make informed trading decisions.
How It Works:
Stochastic Oscillator: The Stochastic Oscillator measures the level of the closing price relative to the high-low range over a set period. It consists of:
%K Line (Main Line): A fast-moving line representing raw Stochastic values.
%D Line (Signal Line): A smoothed version of %K.
Multi-Timeframe Analysis: This script calculates four Stochastic Oscillators with different parameter sets, allowing users to observe market conditions across short, medium, and long-term perspectives.
Inputs:
K Period, D Period, and Slowing: Parameters for each of the four Stochastics, customizable to suit your trading strategy.
Example Input Settings:
Stoch 1: Short-term (e.g., 9, 3, 3)
Stoch 2: Medium-term (e.g., 14, 3, 3)
Stoch 3: Long-term (e.g., 40, 4, 3)
Stoch 4: Very long-term (e.g., 60, 10, 1)
Features:
Color-Coded Lines:
Each Stochastic Oscillator is represented with distinct colors for easy identification:
Blue/Light Blue: Stoch 1
Red/Orange: Stoch 2
Green/Lime: Stoch 3
Purple/Magenta: Stoch 4
Overbought and Oversold Levels:
Horizontal lines are drawn at 80 (Overbought), 50 (Neutral), and 20 (Oversold).
Customisable Appearance:
Line widths and colors can be adjusted directly in the code or TradingView settings.
How to Use:
Add to Your Chart:
Copy and paste the script into TradingView's Pine Script editor.
Click "Add to Chart" to display the indicator in a separate window.
Interpret the Indicator:
Look for overbought conditions when %K and %D are near 80.
Look for oversold conditions when %K and %D are near 20.
Crossovers of %K above %D indicate potential buy signals, while crossovers below %D indicate potential sell signals.
Combine with Other Tools:
Use this indicator with other technical tools (e.g., trendlines, volume indicators) to validate signals.
Analyze how Stochastics across different timeframes align for stronger confirmation.
Practical Example:
If Stoch 1 and Stoch 2 show overbought signals (above 80) while Stoch 3 and Stoch 4 are in neutral or oversold zones, this could indicate short-term retracement opportunities in an otherwise bullish trend.
Use the Multi Stochastic Indicator to enhance your analysis by observing momentum shifts across multiple perspectives.
