RSI Strategy with ButtonsCopy and paste this code into TradingView's Pine Script editor.
Save and click "Add to Chart".
You'll see Buy and Sell labels on the chart when the conditions are met.
Индикаторы Билла Вильямса
RSI + Chandelier Exit StrategyHere's a brief version of how to paste and apply the code in TradingView:
Go to TradingView.
Click on "Pine Editor" at the bottom of the screen.
Paste the code into the editor.
Click "Save" and give the script a name.
Click "Add to Chart" to apply it to your chart.
Buy/Sell Signals with Woodies CCI FilterThis script combines multiple indicators to provide precise buy/sell signals while filtering out false signals. It integrates Bollinger Bands, Woodies CCI, OBV, and ATR to create a robust trading strategy suitable for both trend-following and mean-reversion approaches. Here's how it works:
-Bollinger Bands: Identify overbought and oversold zones based on price volatility.
-Woodies CCI: Acts as a momentum filter to validate buy/sell signals.
-OBV (On-Balance Volume): Confirms the direction of price movement using volume.
-ATR (Average True Range): Determines realistic Take Profit (TP) and Stop Loss (SL) levels based on market volatility.
How It Works
-A Buy Signal is triggered when the price crosses above the short-term moving average (MA), and both the short-term and long-term Woodies CCI confirm upward momentum.
-A Sell Signal is triggered when the price crosses below the short-term MA, and both CCIs confirm downward momentum.
-The script includes realistic TP/SL levels using ATR to manage risks effectively.
Script này kết hợp nhiều chỉ báo để cung cấp tín hiệu mua/bán chính xác đồng thời lọc bỏ các tín hiệu sai. Nó tích hợp Bollinger Bands, Woodies CCI, OBV, và ATR để tạo ra một chiến lược giao dịch mạnh mẽ, phù hợp cho cả phương pháp theo xu hướng và hồi quy giá. Dưới đây là cách hoạt động:
-Bollinger Bands: Xác định vùng giá quá mua và quá bán dựa trên độ biến động.
-Woodies CCI: Là bộ lọc động lượng để xác nhận tín hiệu mua/bán.
-OBV (On-Balance Volume): Xác nhận hướng di chuyển của giá dựa trên khối lượng giao dịch.
-ATR (Average True Range): Xác định mức Take Profit (TP) và Stop Loss (SL) thực tế dựa trên độ biến động của thị trường.
Cách Hoạt Động
-Tín hiệu Mua được kích hoạt khi giá cắt lên đường MA ngắn hạn và cả hai chỉ báo Woodies CCI (ngắn hạn và dài hạn) xác nhận động lượng tăng.
-Tín hiệu Bán được kích hoạt khi giá cắt xuống đường MA ngắn hạn và cả hai chỉ báo CCI xác nhận động lượng giảm.
-Script bao gồm các mức TP/SL thực tế sử dụng ATR để quản lý rủi ro hiệu quả.
EMA Signal ProTrendCandle Tracker
Tracks trends and signals dynamically as candles follow EMA crossovers.
Dynamic Pivot Signals
Combines EMA crossovers with dynamic candle-following signals for pivots.
Crossover Pulse
Highlights BUY and SELL opportunities based on EMA crossover "pulses."
EMA Signal Pro
A professional-grade indicator focused on EMA-based BUY and SELL signals.
BuySell Flow
Smoothly identifies and tracks BUY and SELL zones with flowing lines.
Signal Glide
Glides through trends with lines following EMA crossover signals.
PivotEMA Signals
Integrates pivot levels and EMA crossovers to provide clear signals.
CandlePath Tracker
Follows candle movements after EMA crossovers for actionable signals.
LineSync Signals
Synchronizes BUY and SELL signals with dynamic lines on the chart.
TrendWave Signals
Captures wave-like trends, providing precise entry and exit points.
EMA Signal ProTrendCandle Tracker
Tracks trends and signals dynamically as candles follow EMA crossovers.
Dynamic Pivot Signals
Combines EMA crossovers with dynamic candle-following signals for pivots.
Crossover Pulse
Highlights BUY and SELL opportunities based on EMA crossover "pulses."
EMA Signal Pro
A professional-grade indicator focused on EMA-based BUY and SELL signals.
BuySell Flow
Smoothly identifies and tracks BUY and SELL zones with flowing lines.
Signal Glide
Glides through trends with lines following EMA crossover signals.
PivotEMA Signals
Integrates pivot levels and EMA crossovers to provide clear signals.
CandlePath Tracker
Follows candle movements after EMA crossovers for actionable signals.
LineSync Signals
Synchronizes BUY and SELL signals with dynamic lines on the chart.
TrendWave Signals
Captures wave-like trends, providing precise entry and exit points.
MA Jonathan- Sử dụng các đường MA 9, MA15, MA 45, MA 100, MA 200
- Sử dụng chỉ báo mua bán tạo riêng
- Tạo ra đường TB giá để xác định các điểm lên xuống
- Sử dụng các cặp nến để trade
- Sử dụng cảnh báo volume thông minh
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")
Cipher DCA Strategy70% + Accurate trading strategy, tailored for swing trading and Dollar-Cost Averaging (DCA) approach to build positions during bearish or oversold market conditions.
Here's how it works:
Market Entry: The script identifies optimal entry points by pinpointing when stocks are in an oversold state, making it an ideal time to buy. This is crucial for accumulating assets at lower prices, setting the stage for significant gains as the market rebounds.
Position Accumulation: By utilizing DCA, the strategy allows you to buy into the market in increments, reducing the impact of volatility and helping to mitigate risk during market downturns.
Swing Trading: Once the market begins to show signs of recovery, the strategy shifts to swing trading mode. It captures the upward momentum by holding positions through the market's upswing, aiming to sell near the peak of the bull market.
Market Exit: The indicator not only helps in buying low but also in selling high, guiding you to exit positions near what could be the top of the market cycle.
Daily Volatility Percentageindicator Description:
Daily Volatility Percentage Indicator
This indicator displays the daily volatility percentage of each candle directly on your chart. It calculates the difference between the High and Low prices of each candle and converts it into a percentage relative to the Low price. This allows you to quickly and clearly see how volatile each candle is.
Why This Indicator Is Useful:
Analyze Daily Volatility:
Helps identify high or low volatility, which can signal trading opportunities or elevated risk levels in the market.
Quick Decision-Making:
Displays essential data directly on the chart, eliminating the need for external calculations or tools.
Track Asset Behavior:
Suitable for all asset classes (stocks, crypto, forex, etc.), providing a clear view of market fluctuations over time.
Customizable:
Allows you to adjust the label colors and placement according to your preferences for a more personalized experience.
Who Can Benefit:
Day Traders: To spot high-volatility situations ideal for short-term trades.
Trend Traders: To identify assets becoming more volatile, which might indicate trend reversals.
Long-Term Investors: To find periods of relative stability in market movements.
This indicator is an effective tool for anyone looking to understand market dynamics quickly and efficiently.
Realtime Trend Detection powered by MESACC John Ehlers.
The man, the myth, the legend.
Realtime trend detection, tripple crossed
Breakfree Trading | MAW 1.0.1-rc publicGG fuckers, now we win.
here is full code for the matrix glitch allowing predictive data of financial markets.
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)
// ...
// ---------------------------------------------------------------------------------------------------------------------}
Estratégia EMA20 e RSI//@version=5
indicator(title="Estratégia EMA20 e RSI", shorttitle="EMA20+RSI", overlay=true)
// Configurações da EMA
emaLength = input.int(20, title="Comprimento da EMA")
emaSource = input.source(close, title="Fonte da EMA")
emaValue = ta.ema(emaSource, emaLength)
// Configurações do RSI
rsiLength = input.int(14, title="Comprimento do RSI")
rsiOverbought = input.int(70, title="Nível de Sobrecompra do RSI", minval=50, maxval=100)
rsiOversold = input.int(30, title="Nível de Sobrevenda do RSI", minval=0, maxval=50)
rsiValue = ta.rsi(close, rsiLength)
// Plotagem da EMA
plot(emaValue, color=color.blue, title="EMA20", linewidth=2)
// Condições de entrada
longCondition = ta.crossover(close, emaValue) and rsiValue < rsiOversold
shortCondition = ta.crossunder(close, emaValue) and rsiValue > rsiOverbought
// Plotagem das setas de entrada
plotshape(series=longCondition, title="Sinal de Compra", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
plotshape(series=shortCondition, title="Sinal de Venda", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
// Alertas
if longCondition
alert("Sinal de compra detectado! Fechamento acima da EMA20 e RSI em sobrevenda.", alert.freq_once_per_bar_close)
if shortCondition
alert("Sinal de venda detectado! Fechamento abaixo da EMA20 e RSI em sobrecompra.", alert.freq_once_per_bar_close)
Volume-Based RSI Color Indicator with MAsThis is not a typical RSI indicator; it is a unique variation that integrates volume analysis and moving averages (MAs) for the RSI. Here's how it stands out:
Volume-Based Color Coding: The RSI line changes color based on it's level
(overbought/oversold) and volume conditions. For example:
Red: RSI is overbought, and volume is significantly higher than average.
Green: RSI is oversold, and volume is significantly higher than average.
Blue: Default color for other scenarios.
RSI Moving Averages: it includes long-period (200) and short-period (20) moving averages of
the RSI, calculated using SMA or EMA, based on user preference. this adds a trend-
following component to the RSI analysis.
Customization Options: The script allows users to adjust parameters like RSI length,
overbought/oversold levels, high-volume multiplier, and MA type lengths.
These enhancements make the indicator more dynamic and tailored for traders looking to incorporate both momentum and volume trends into their strategy.
Custom Awesome OscillatorIndicator based on Awesome Oscillator. Histogram turns green on RSI overbought conditions and red on oversold conditions. Background is set against Bollinger Bands expansion and contraction. Perhaps it would be better to uncheck the RSI setting.
Super Billion VVIPThis Pine Script code is an advanced script designed for TradingView. It integrates supply and demand zones, price action labels, zigzag lines, and a modified ATR-based SuperTrend indicator. Here's a breakdown of its key components:
Key Features
Supply and Demand Zones:
Automatically identifies and plots supply (resistance) and demand (support) zones using swing highs and lows.
Zones are extended dynamically and updated based on market movements.
Prevents overlapping zones by ensuring a minimum ATR-based buffer.
Zigzag Indicator:
Adds zigzag lines to connect significant swing highs and lows.
Helps identify market trends and potential turning points.
SuperTrend Indicator:
A trend-following component using ATR (Average True Range) with configurable periods and multipliers.
Provides buy and sell signals based on trend changes.
Includes alerts for trend direction changes.
Swing High/Low Labels:
Labels significant price action points as "HH" (Higher High), "LL" (Lower Low), etc., for easy visual reference.
Customizable Visuals:
Allows users to customize colors, label visibility, box widths, and more through inputs.
Alerts:
Generates alerts for buy/sell signals and trend direction changes.
Inputs and Settings
Supply and Demand Settings:
Swing length, zone width, and history size.
Visual Settings:
Toggle zigzag visibility, label colors, and highlight styles.
SuperTrend Settings:
ATR periods, multiplier, and signal visibility.
How to Use
Copy the script into the Pine Editor on TradingView.
Customize the input settings as per your trading strategy.
Add the script to your chart to visualize zones, trends, and signals.
Set alerts for buy/sell signals or trend changes.
Notes
Ensure the script complies with TradingView’s limitations (e.g., max objects).
Fine-tune settings based on the asset's volatility and timeframe.
Let me know if you need help optimizing or further explaining specific parts!
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EMA & RSI Buy/Sell Signalsbuy and sell signal for ema and rsi signals. has buy and sell signals for the perfect trade.