Bands and Channels
AG Custom Weight Index(BETA)The Adani Group Custom Weight Index is a specialized financial indicator designed to track the market performance of the top seven publicly listed companies within the Adani Group. The index provides a comprehensive view of the group's market trends by equally weighting each company's contribution, ensuring no single stock dominates the index movement.
Comprehensive RSI, MACD & Stochastic Table
RSI, MACD, and Stochastic Multi-Asset Indicator for TradingView
Introduction
The RSI, MACD, and Stochastic Multi-Asset Indicator is a comprehensive tool designed for traders who want to analyze multiple assets simultaneously while utilizing some of the most popular technical indicators. This indicator is tailored for all market types—whether you're trading cryptocurrencies, stocks, forex, or commodities—and provides a consolidated dashboard for faster and more informed decision-making.
This tool combines Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and Stochastic Oscillator, three of the most effective momentum and trend-following indicators. It provides a visual, color-coded table for quick insights and alerts for significant buy or sell opportunities.
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What Does This Indicator Do?
This indicator performs the following key functions:
1. Multi-Asset Analysis: Analyze two assets side by side, allowing you to monitor their momentum, trends, and overbought/oversold conditions simultaneously.
2. Combines Three Powerful Indicators:
RSI: Tracks market momentum and identifies overbought/oversold zones.
MACD: Highlights trend direction and momentum shifts.
Stochastic Oscillator: Provides insights into overbought/oversold zones with smoothing for better accuracy.
3. Color-Coded Dashboard: Displays all indicator values in an easy-to-read table with color coding for quick identification of market conditions.
4. Real-Time Alerts: Generates alerts when strong bullish or bearish conditions are met across multiple indicators.
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Key Features
1. Customizable Inputs
You can adjust RSI periods, MACD parameters, Stochastic settings, and timeframes to suit your trading style.
Analyze default or custom assets (e.g., BTC/USDT, ETH/USDT).
2. Multi-Timeframe Support
Use this indicator on any timeframe (e.g., 1-minute, 1-hour, daily) to suit your trading strategy.
3. Comprehensive Dashboard
Displays values for RSI, MACD, and Stochastic for two assets in one clean, compact table.
Automatically highlights overbought (red), oversold (green), and neutral (gray) conditions.
4. Buy/Sell Signals
Plots buy/sell signals on the chart when all indicators align in strong bullish or bearish zones.
Example:
Strong Buy: RSI above 50, Stochastic %K above 80, and MACD histogram positive.
Strong Sell: RSI below 50, Stochastic %K below 20, and MACD histogram negative.
5. Real-Time Alerts
Alerts notify you when a strong buy or sell condition is detected, so you don't miss critical trading opportunities.
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Who Is This Indicator For?
This indicator is perfect for:
Day Traders who need real-time insights across multiple assets.
Swing Traders who want to identify mid-term trends and momentum shifts.
Crypto, Stock, and Forex Traders looking for a consolidated tool that works across all asset classes.
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How It Works
1. RSI (Relative Strength Index):
Tracks momentum by measuring the speed and change of price movements.
Overbought: RSI > 70 (Red).
Oversold: RSI < 30 (Green).
2. MACD (Moving Average Convergence Divergence):
Combines two exponential moving averages (EMA) to track momentum and trend direction.
Positive Histogram: Bullish momentum.
Negative Histogram: Bearish momentum.
3. Stochastic Oscillator:
Tracks price relative to its high-low range over a specific period.
Overbought: %K > 80.
Oversold: %K < 20.
4. Table View:
Displays indicator values for both assets in an intuitive table format.
Highlights critical zones with color coding.
5. Alerts:
Alerts are triggered when:
RSI, MACD, and Stochastic align in strong bullish or bearish conditions.
These conditions are based on customizable thresholds.
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How to Use the Indicator
1. Add the Indicator to Your Chart:
After publishing, search for the indicator by its name in TradingView's Indicators tab.
2. Customize Inputs:
Adjust settings for RSI periods, MACD parameters, and Stochastic smoothing to suit your strategy.
3. Interpret the Table:
Check the table for highlighted zones (red for overbought, green for oversold).
Look for bullish or bearish signals in the "Signal" column.
4. Act on Alerts:
Use the real-time alerts to take action when strong conditions are met.
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Example Use Cases
1. Crypto Day Trading:
Monitor BTC/USDT and ETH/USDT simultaneously for strong bullish or bearish conditions.
Receive alerts when RSI, MACD, and Stochastic align for a potential reversal.
2. Swing Trading Stocks:
Track a stock (e.g., AAPL) and its sector ETF (e.g., QQQ) to find momentum-based opportunities.
3. Forex Scalping:
Identify overbought/oversold conditions across multiple currency pairs.
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Conclusion
The RSI, MACD, and Stochastic Multi-Asset Indicator simplifies your trading workflow by consolidating multiple technical indicators into one powerful tool. With real-time insights, color-coded visuals, and customizable alerts, this indicator is designed to help you stay ahead in any market.
Whether you're a beginner or an experienced trader, this indicator provides everything you need to make confident trading decisions. Add it to your TradingView chart today and take your analysis to the next level!
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Make sure to leave your feedback and suggestions so I can continue improving the tool for the community. Happy trading!
RSI, Bollinger Bands & MA Crossover StrategyIn the fast-paced world of financial markets, traders are constantly seeking robust strategies to maximize their returns while mitigating risks. Among the plethora of technical indicators available, the combination of the Relative Strength Index (RSI), Bollinger Bands, and Moving Average (MA) crossovers has garnered significant attention for its effectiveness in identifying potential trade setups. Each of these indicators offers unique insights into market dynamics, and their integration can create a powerful synergy for decision-making.
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. By indicating overbought or oversold conditions, it provides traders with a gauge for potential reversals or continuations in price trends. Bollinger Bands, on the other hand, are a volatility-based indicator comprising a moving average and two standard deviation bands. They help traders visualize price volatility and identify periods of consolidation or breakout. Moving Averages (MA), whether simple or exponential, serve as a fundamental trend-following tool by smoothing price data over a specified period, making it easier to discern the overall market direction.
DANGHIEU EMA 21/55/200 RibbonPhân tích xu hướng: Dễ dàng nhận diện xu hướng tăng hoặc giảm thông qua dải mây (ribbon).
Xác định điểm giao dịch: Sử dụng dấu X để nhận diện điểm giao cắt giữa EMA 21 và EMA 55, giúp đưa ra quyết định giao dịch.
Theo dõi xu hướng dài hạn: EMA 200 cung cấp góc nhìn dài hạn về xu hướng thị trường.
Dynamic VWAP StrategyThis powerful Pine Script indicator integrates the principles of stochastic control and dynamic risk management to optimize futures trading strategies. Combining VWAP bands, Gaussian moving averages, stochastic oscillators, and ADX-based trend filtering, this tool empowers traders with a multifactor approach to identify high-probability entries and exits. Built for adaptability, the strategy dynamically adjusts to trending and range-bound markets, while ATR-based stop-losses ensure precise risk control. Perfect for traders aiming to align with advanced concepts from modern quantitative finance.
Multi-Band Comparison (Uptrend)Multi-Band Comparison
Overview:
The Multi-Band Comparison indicator is engineered to reveal critical levels of support and resistance in strong uptrends. In a healthy upward market, the price action will adhere closely to the 95th percentile line (the Upper Quantile Band), effectively “riding” it. This indicator combines a modified Bollinger Band (set at one standard deviation), quantile analysis (95% and 5% levels), and power‑law math to display a dynamic picture of market structure—highlighting a “golden channel” and robust support areas.
Key Components & Calculations:
The Golden Channel: Upper Bollinger Band & Upper Std Dev Band of the Upper Quantile
Upper Bollinger Band:
Calculation:
boll_upper=SMA(close,length)+(boll_mult×stdev)
boll_upper=SMA(close,length)+(boll_mult×stdev) Here, the 20-period SMA is used along with one standard deviation of the close, where the multiplier (boll_mult) is 1.0.
Role in an Uptrend:
In a healthy uptrend, price rides near the 95th percentile line. When price crosses above this Upper Bollinger Band, it confirms strong bullish momentum.
Upper Std Dev Band of the Upper Quantile (95th Percentile) Band:
Calculation:
quant_upper_std_up=quant_upper+stdev
quant_upper_std_up=quant_upper+stdev The Upper Quantile Band, quant_upperquant_upper, is calculated as the 95th percentile of recent price data. Adding one standard deviation creates an extension that accounts for normal volatility around this extreme level.
The Golden Channel:
When the price crosses above the Upper Bollinger Band, the Upper Std Dev Band of the Upper Quantile immediately shifts to gold (yellow) and remains gold until price falls below the Bollinger level. Together, these two lines form the “golden channel”—a visual hallmark of a healthy uptrend where the price reliably hugs the 95th percentile level.
Upper Power‑Law Band
Calculation:
The Upper Power‑Law Band is derived in two steps:
Determine the Extreme Return Factor:
power_upper=Percentile(returns,95%)
power_upper=Percentile(returns,95%) where returns are computed as:
returns=closeclose −1.
returns=close close−1.
Scale the Current Price:
power_upper_band=close×(1+power_upper)
power_upper_band=close×(1+power_upper)
Rationale and Correlation:
By focusing on the upper 5% of returns (reflecting “fat tails”), the Upper Power‑Law Band captures extreme but statistically expected movements. In an uptrend, its value often converges with the Upper Std Dev Band of the Upper Quantile because both measures reflect heightened volatility and extreme price levels. When the Upper Power‑Law Band exceeds the Upper Std Dev Band, it can signal a temporary overextension.
Upper Quantile Band (95% Percentile)
Calculation:
quant_upper=Percentile(price,95%)
quant_upper=Percentile(price,95%) This level represents where 95% of past price data falls below, and in a robust uptrend the price action practically rides this line.
Color Logic:
Its color shifts from a neutral (blackish) tone to a vibrant, bullish hue when the Upper Power‑Law Band crosses above it—signaling extra strength in the trend.
Lower Quantile and Its Support
Lower Quantile Band (5% Percentile):
Calculation:
quant_lower=Percentile(price,5%)
quant_lower=Percentile(price,5%)
Behavior:
In a healthy uptrend, price remains well above the Lower Quantile Band. It turns red only when price touches or crosses it, serving as a warning signal. Under normal conditions it remains bright green, indicating the market is not nearing these extreme lows.
Lower Std Dev Band of the Lower Quantile:
This line is calculated by subtracting one standard deviation from quant_lowerquant_lower and typically serves as absolute support in nearly all conditions (except during gap or near-gap moves). Its consistent role as support provides traders with a robust level to monitor.
How to Use the Indicator:
Golden Channel and Trend Confirmation:
As price rides the Upper Quantile (95th percentile) perfectly in a healthy uptrend, the Upper Bollinger Band (1 stdev above SMA) and the Upper Std Dev Band of the Upper Quantile form a “golden channel” once price crosses above the Bollinger level. When this occurs, the Upper Std Dev Band remains gold until price dips back below the Bollinger Band. This visual cue reinforces trend strength.
Power‑Law Insights:
The Upper Power‑Law Band, which is based on extreme (95th percentile) returns, tends to align with the Upper Std Dev Band. This convergence reinforces that extreme, yet statistically expected, price moves are occurring—indicating that even though the price rides the 95th percentile, it can only stretch so far before a correction or consolidation.
Support Indicators:
Primary and Secondary Support in Uptrends:
The Upper Bollinger Band and the Lower Std Dev Band of the Upper Quantile act as support zones for minor retracements in the uptrend.
Absolute Support:
The Lower Std Dev Band of the Lower Quantile serves as an almost invariable support area under most market conditions.
Conclusion:
The Multi-Band Comparison indicator unifies advanced statistical techniques to offer a clear view of uptrend structure. In a healthy bull market, price action rides the 95th percentile line with precision, and when the Upper Bollinger Band is breached, the corresponding Upper Std Dev Band turns gold to form a “golden channel.” This, combined with the Power‑Law analysis that captures extreme moves, and the robust lower support levels, provides traders with powerful, multi-dimensional insights for managing entries, exits, and risk.
Disclaimer:
Trading involves risk. This indicator is for educational purposes only and does not constitute financial advice. Always perform your own analysis before making trading decisions.
Buy/Sell Signals for CM_Williams_Vix_FixThis script in Pine Script is designed to create an indicator that generates buy and sell signals based on the Williams VIX Fix (WVF) indicator. Here’s a brief explanation of how this script works:
Main Components:
Williams VIX Fix (WVF) – This volatility indicator is calculated using the formula:
WVF
=
(
highest(close, pd)
−
low
highest(close, pd)
)
×
100
WVF=(
highest(close, pd)
highest(close, pd)−low
)×100
where highest(close, pd) represents the highest closing price over the period pd, and low represents the lowest price over the same period.
Bollinger Bands are used to determine levels of overbought and oversold conditions. They are constructed around the moving average (SMA) of the WVF value using standard deviation (SD).
Ranges based on percentiles help identify extreme levels of WVF values to spot entry and exit points.
Buy and sell signals are generated when the WVF crosses the Bollinger Bands lines or reaches the ranges based on percentiles.
Adjustable Parameters:
LookBack Period Standard Deviation High (pd): The lookback period for calculating the highest closing price.
Bolinger Band Length (bbl): The length of the period for constructing the Bollinger Bands.
Bollinger Band Standard Devaition Up (mult): The multiplier for the standard deviation used for the upper Bollinger Band.
Look Back Period Percentile High (lb): The lookback period for calculating maximum and minimum WVF values.
Highest Percentile (ph): The percentile threshold for determining the high level.
Lowest Percentile (pl): The percentile threshold for determining the low level.
Show High Range (hp): Option to display the range based on percentiles.
Show Standard Deviation Line (sd): Option to display the standard deviation line.
Signals:
Buy Signal: Generated when the WVF crosses above the lower Bollinger Band or falls below the lower boundary of the percentile-based range.
Sell Signal: Generated when the WVF crosses below the upper Bollinger Band or rises above the upper boundary of the percentile-based range.
These signals are displayed as triangles below or above the candles respectively.
Application:
The script can be used by traders to analyze market conditions and make buying or selling decisions based on volatility and price behavior.
Hedge vs Retail Sentimentuse this indicator let me know it is is the hedge fund indicator let me know the accuracy of this indicator
MA Ribbon 1This gives score to moving average ribbons to identify trend. You can change the ma value.
RODRIGUESMULTI EMA + BB + Bull Market Support Band + RSI
Indicador RSI:
Cálculo do RSI com comprimento ajustável e escolha da fonte de dados.
Linhas de referência para sobrecompra (70), sobrevenda (30) e a linha intermediária (50).
Preenchimento visual entre as bandas superior e inferior para destacar zonas de sobrecompra e sobrevenda.
Bollinger Bands (BB):
Calcula e exibe as bandas de Bollinger com base em médias móveis ajustáveis (SMA, EMA, SMMA, WMA, VWMA).
Possibilidade de configurar o comprimento da média e o desvio-padrão.
Preenchimento visual entre as bandas superior e inferior para facilitar a leitura.
Médias Móveis Exponenciais (EMAs):
Inclui 5 EMAs configuráveis com comprimentos independentes.
Exibe as EMAs no gráfico com cores distintas para fácil identificação.
Divergências no RSI (opcional):
Detecta divergências regulares no RSI, tanto bullish (alta) quanto bearish (baixa).
Destaca visualmente as divergências no gráfico e fornece suporte para alertas.
Características Adicionais:
Configuração de todos os parâmetros via menu de entrada no TradingView.
Flexibilidade para aplicar diferentes tipos de médias móveis e ajustes conforme a necessidade.
Design visual limpo e intuitivo com uso de preenchimentos coloridos para destacar áreas-chave.
Uso:
Este script é ideal para traders que desejam uma visão detalhada do momento e da volatilidade do mercado. Ele combina informações de tendências, força relativa e volatilidade em uma única ferramenta, ajudando na identificação de oportunidades de compra ou venda e fornecendo alertas para possíveis reversões de mercado.
CBA MA Cross Volatility AnalysisThis script plots 6 MA's. 14, 21, 35, 50.100,200. It was written to demonstrate the Volatility at cross over and under price points. It detects the cross over and under for each pair. Then it seeks to identify the VOLATILITY and marks the chart accordingly. Symbols:( "X" Increased Volatility. "D" Decreased Volatility below the bar. "O" Increased Volatility. "V" for Decreased Volatility above the bar) at the crossover/crossunder price points. PLEASE NOTE: There is an additional script of ATR(volatility) which plots in an independent pane. It calculates and plots ATR to measure VOLATILITY over a specified time frame.
Buy/Sell Signals for CM_Williams_Vix_FixИндикатор «Buy/Sell Signals for CM_Williams_Vix_Fix» использует несколько ключевых компонентов для генерации торговых сигналов. Вот пошаговый разбор того, как он работает:
### Шаг 1: Настройка параметров
Пользователь может задать следующие параметры:
- **LookBack Period Standard Deviation High** (`pd`) — период для расчета стандартного отклонения.
- **Bolinger Band Length** (`bbl`) — длина полос Боллинджера.
- **Bollinger Band Standard Devaition Up** (`mult`) — коэффициент для стандартного отклонения при расчете полос Боллинджера.
- **Look Back Period Percentile High** (`lb`) — период для вычисления процентилей.
- **Highest Percentile** (`ph`) — коэффициент для определения верхней границы диапазона на основе процентилей.
- **Lowest Percentile** (`pl`) — коэффициент для определения нижней границы диапазона на основе процентилей.
- **Show High Range** (`hp`) — включение/выключение отображения диапазона на основе процентилей.
- **Show Standard Deviation Line** (`sd`) — включение/выключение отображения линии стандартного отклонения.
### Шаг 2: Расчет Williams VIX Fix (WVF)
Индикатор рассчитывается следующим образом:
$$
\text{WVF} = \left(\frac{\text{highest(close, pd)} - \text{low}}{\text{highest(close, pd)}} \right) \times 100
$$
Где:
- `highest(close, pd)` — максимальная цена закрытия за последние `pd` свечей,
- `low` — минимальная цена текущей свечи.
Это выражение показывает, насколько текущая минимальная цена отличается от максимальной цены закрытия за выбранный период.
### Шаг 3: Полосы Боллинджера
Полосы Боллинджера строятся вокруг средней скользящей (SMA):
- Средняя линия (`midLine`) рассчитывается как простое среднее значение WVF за период `bbl`.
- Верхняя полоса (`upperBand`) находится выше средней линии на величину стандартного отклонения, умноженного на коэффициент `mult`.
- Нижняя полоса (`lowerBand`) находится ниже средней линии на ту же величину.
Формулы:
$$
\text{sDev} = \text{mult} \times \sigma_{\text{wvf}}
$$
$$
\sigma_{\text{wvf}} = \sqrt{\frac{1}{N}\sum_{i=1}^{N}(\text{wvf}_i - \overline{\text{wvf}})^2}
$$
где $N$ — количество точек данных в периоде `bbl`, $\overline{\text{wvf}}$ — средняя величина WVF за этот период.
### Шаг 4: Определение диапазонов на основе процентилей
Для этого используется максимальное и минимальное значения WVF за последний период `lb`. Затем эти значения корректируются с помощью коэффициентов `ph` и `pl` для получения верхней и нижней границ диапазона.
### Шаг 5: Генерация сигналов
Сигнал на покупку генерируется, когда WVF пересекает снизу вверх нижнюю полосу Боллинджера или нижнюю границу диапазона на основе процентилей.
Сигнал на продажу генерируется, когда WVF пересекает сверху вниз верхнюю полосу Боллинджера или верхнюю границу диапазона на основе процентилей.
### Шаг 6: Визуализация сигналов
На графике появляются стрелки, обозначающие точки входа:
- Зеленые стрелки под свечами показывают сигнал на покупку.
- Красные стрелки над свечами показывают сигнал на продажу.
### Итог
Этот индикатор помогает трейдерам принимать решения о покупке или продаже активов, основываясь на пересечении значений WVF с полосами Боллинджера или диапазонами на основе процентилей. Пользователи могут гибко настраивать параметры для адаптации к различным рыночным условиям.
NOG50TRADERSAlways be conservative when you get the NOG50T Long signal always wait a pullback in Discount price! when you see NOG50T Short Signal always wait A pullback in expensive price. never chase market. (Manasse IRADUKUNDA CEO)
Strategia Bollinger-Fibonacci-SMALa strategia che abbiamo sviluppato combina diversi indicatori tecnici per identificare potenziali opportunità di trading. Essa si basa su:
Bande di Bollinger: Misurano la volatilità del mercato e forniscono segnali di sovracomprato e sottovenduto.
Ritracciamenti di Fibonacci: Identificano potenziali livelli di supporto e resistenza basati su rapporti matematici.
Medie Mobili: Misurano la tendenza del mercato a breve e lungo termine.
La strategia entra a mercato quando si verificano determinate condizioni relative a questi indicatori, come ad esempio quando il prezzo attraversa la banda inferiore di Bollinger e si trova vicino a un livello di ritracciamento di Fibonacci.
Analisi Dettagliata degli Elementi
Bande di Bollinger:
Funzione: Misurano la volatilità del mercato e forniscono un'indicazione visiva dei livelli di sovracomprato e sottovenduto.
Interpretazione: Quando il prezzo si trova al di fuori delle bande, potrebbe essere un segnale di una condizione di mercato estrema.
Nella nostra strategia: Le bande di Bollinger vengono utilizzate per identificare potenziali punti di ingresso e uscita dal mercato.
Ritracciamenti di Fibonacci:
Funzione: Identificano potenziali livelli di supporto e resistenza basati su rapporti matematici derivati dalla sequenza di Fibonacci.
Interpretazione: I livelli di Fibonacci rappresentano i punti in cui il prezzo potrebbe invertire la sua direzione.
Nella nostra strategia: I livelli di Fibonacci vengono utilizzati in combinazione con le Bande di Bollinger per confermare i segnali di ingresso.
Medie Mobili:
Funzione: Misurano la tendenza del mercato a breve e lungo termine.
Interpretazione: Un incrocio tra due medie mobili può indicare un cambio di tendenza.
Nella nostra strategia: Le medie mobili vengono utilizzate come filtro aggiuntivo per confermare i segnali generati dalle Bande di Bollinger e dai livelli di Fibonacci.
Condizioni di Ingresso:
La strategia entra a lungo quando:
Il prezzo attraversa la banda inferiore di Bollinger in direzione ascendente.
Il prezzo si trova al di sotto del livello di ritracciamento di Fibonacci specificato.
La media mobile a breve termine è superiore alla media mobile a lungo termine.
La strategia entra a corto quando si verificano le condizioni opposte.
Stop-Loss e Take Profit:
Per gestire il rischio, la strategia utilizza stop-loss e take-profit dinamici, calcolati in base al prezzo di entrata e a una percentuale predefinita.
Vantaggi e Svantaggi
Vantaggi:
Multipla conferma: La strategia si basa su più indicatori, fornendo una conferma più robusta dei segnali di trading.
Flessibilità: I parametri della strategia possono essere personalizzati per adattarsi a diversi stili di trading e mercati.
Gestione del rischio: L'utilizzo di stop-loss e take-profit aiuta a limitare le perdite e a proteggere i profitti.
Svantaggi:
Nessuna strategia è infallibile: Anche la migliore strategia può generare perdite.
Requisiti di monitoraggio: La strategia richiede un monitoraggio costante per garantire che i parametri siano ancora validi e per reagire ai cambiamenti del mercato.
Complessità: La combinazione di più indicatori può rendere la strategia più difficile da comprendere e implementare.
Conclusioni
Questa strategia rappresenta un tentativo di combinare diversi strumenti tecnici per identificare potenziali opportunità di trading. Tuttavia, è importante sottolineare che il trading comporta sempre un rischio e che nessuna strategia può garantire profitti. È fondamentale testare accuratamente la strategia su dati storici e adattarla al proprio stile di trading personale.
Bollinger Band Reversal//@version=5
indicator("Bollinger Band Reversal", overlay=true)
// Bollinger Bands Parameters
length = 20
src = close
mult = 2.0
// Calculate Bollinger Bands
basis = ta.sma(src, length)
dev = mult * ta.stdev(src, length)
upper_band = basis + dev
lower_band = basis - dev
// Conditions
close_outside_upper = close > upper_band
close_outside_lower = close < lower_band
// Detect reversal
candle_reversal = (close_outside_upper and close < upper_band) or (close_outside_lower and close > lower_band)
// Plot Bollinger Bands
plot(upper_band, color=color.red, linewidth=2, title="Upper Band")
plot(lower_band, color=color.green, linewidth=2, title="Lower Band")
plot(basis, color=color.blue, linewidth=1, title="Basis")
// Mark the condition on the chart
bgcolor(candle_reversal ? color.new(color.green, 90) : na, title="Candle Reversal Background")
// Display alerts
alertcondition(candle_reversal, title="Bollinger Band Reversal Alert", message="Candle closed outside BB, next candle closed inside BB")
Candle Closes Outside Bollinger Bands//@version=5
indicator("Candle Closes Outside Bollinger Bands", overlay=true)
// Bollinger Bands parameters
length = input.int(20, title="BB Length")
src = close
mult = input.float(2.0, title="BB Multiplier")
// Bollinger Bands Calculation
basis = ta.sma(src, length)
dev = mult * ta.stdev(src, length)
upperBB = basis + dev
lowerBB = basis - dev
// Condition for closing outside of the Bollinger Bands
closeAboveUpperBB = close > upperBB
closeBelowLowerBB = close < lowerBB
// Plotting signals
plotshape(closeAboveUpperBB, title="Close Above Upper BB", location=location.abovebar, color=color.green, style=shape.labelup, text="Close > Upper BB")
plotshape(closeBelowLowerBB, title="Close Below Lower BB", location=location.belowbar, color=color.red, style=shape.labeldown, text="Close < Lower BB")
// Optionally, plot the Bollinger Bands for visual reference
plot(upperBB, color=color.blue, title="Upper BB")
plot(lowerBB, color=color.blue, title="Lower BB")
xstrizles 4H Candle Range Highlighter Marks the top and bottom of the previous 4H Candle with a horizontal line.
Highlights candles inside a 4H range on lower time frames.
ATR Moving AverageTrying to create a moving average of the ATR
This can be used as a basis for other things. For example - creating bands around this moving average.
Silver Bullet SessionsThe Silver Bullet Sessions indicator is a specialized timing tool designed to highlight key market sessions throughout the trading day. By marking specific hours with vertical lines, it helps traders identify potentially significant market moments that often coincide with increased volatility and trading opportunities.
This indicator plots vertical lines at six strategic times during the trading day: 3:00 AM, 4:00 AM, 10:00 AM, 11:00 AM, 2:00 PM, and 3:00 PM. These times are carefully selected to correspond with important market events and session overlaps in the global trading cycle. The early morning hours (3-4 AM) often capture significant Asian market movements and the European market opening. The mid-morning period (10-11 AM) typically corresponds with peak European trading hours and the pre-US market dynamics. The afternoon times (2-3 PM) coincide with key US market activities and the European market close.
The indicator is implemented using Pine Script version 6, ensuring compatibility with the latest TradingView platform features. It employs a clean, efficient coding structure that minimizes resource usage while maintaining reliable performance. The vertical lines are rendered in blue for clear visibility against any chart background, and their width is optimized for easy identification without obscuring price action.
Traders can use these visual markers to:
Plan their entries and exits around these key time periods
Anticipate potential market volatility
Structure their trading sessions around these significant market hours
Identify session-based trading patterns
MPW TDL Ai v1.5TDL Ai v1 is an advanced trading indicator designed for technical analysis, combining several sophisticated tools such as order blocks, Fair Value Gaps (FVGs), and multi-timeframe analysis. This strategy is particularly powerful for traders looking to implement a complex strategy by leveraging institutional trading concepts and multi-timeframe structures.
Oct 2, 2024
Release Notes
v1.1
Major improvement , Due to separate entry and opposing timeframes there was a issue which lead to unwanted trade , now its resolved in new version.
All the unwanted trades are not showing up now/
Oct 3, 2024
Release Notes
TDL v1.2
-Minor changes
Oct 7, 2024
Release Notes
v1.4
-"SL Type " option "OB or FVG H/L" resolved
-"SL Type " includes the mitigation timeframe H/L candle values
following options added:
-max daily loss limit
-max daily profit limit
Oct 10, 2024
Release Notes
v1.5
-No trade if there is no body of candle even if wick is there ( close and open are same)
Achat/Vente Moyenne MobileCe script utilise une moyenne mobile simple (SMA) pour générer des signaux. Vous pouvez ajuster la période de la moyenne mobile en modifiant le paramètre length selon votre stratégie.
Atlantic Trading - Multiple EMAs & Bollinger BandsMultiple EMAs & Bollinger Bands Overlay
A versatile technical analysis overlay combining multiple Exponential Moving Averages (EMAs) with customizable Bollinger Bands. This indicator is designed to help traders identify trends, momentum, and potential support/resistance levels across different timeframes.
Features
Multiple EMAs for trend analysis:
8 EMA (short-term trend)
60 EMA (intermediate trend)
200 EMA (long-term trend)
200 SMA (additional long-term trend confirmation)
Fully customizable Bollinger Bands:
Adjustable length and standard deviation
Individual color controls for upper, middle, and lower bands
Optional fill between bands with customizable transparency
Unified or separate color schemes for the bands
Settings
Moving Averages
Customizable lengths for all EMAs and SMA
Individual color settings for each moving average
Bollinger Bands
Length: Default 20 periods
Standard Deviation: Default 2.0
Color Options:
Default mode: Single color for all bands
Advanced mode: Individual colors for upper, middle, and lower bands
Fill Options:
Toggleable band fill
Customizable fill color
Adjustable fill transparency
How to Use
The 8, 60, and 200 EMAs help identify trends across different timeframes
The 200 SMA provides additional trend confirmation
Bollinger Bands help identify:
Potential support/resistance levels
Market volatility
Overbought/oversold conditions
Notes
All colors and parameters are fully customizable through the settings panel
The indicator works on all timeframes
Suitable for any trading instrument (stocks, forex, crypto, futures)
Updates
Version 1.0
Initial release with all core features
Customizable colors and parameters
Optional Bollinger Bands fill
Credits
Jacobeckooo on Atlantic Trading for the idea