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Anchored Bollinger Band Range [SS]This is the anchored Bollinger band indicator.
What it does?
The anchored BB indicator:
Takes a user defined range and calculates the Standard Deviation of the entire selected range for the high and low values.
Computes a moving average of the high and low during the selected period (which later becomes the breakout range average)
Anchors to the last high and last low of the period range to add up to 4 standard deviations to the upside and downside, giving you 4 high and low targets.
How can you use it?
The anchored BB indicator has many applicable uses, including
Identifying daily ranges based on premarket trading activity ( see below ):
Finding breakout ranges for intraday pattern setups ( see below ):
Identified pattern of interest:
Applying Anchored BB:
Identifying daily or pattern biases based on the position to the opening breakout range average (blue line). See the examples with explanations:
ex#1:
ex#2:
The Opening Breakout Average
As you saw in the examples above, the blue line represents the opening breakout range average.
This is the average high of the period of interest and the average low of the period of interest.
Price action above this line would be considered Bullish, and Bearish if below.
This also acts as a retracement zone in non-trending markets. For example:
Best Use Cases
Identify breakout ranges for patterns on larger timeframes. For example
This pattern on SPY, if we overlay the Anchored BB:
You want to see it actually breakout from this range and hold to confirm a breakout. Failure to exceed the BB range, means that it is just ranging with no real breakout momentum.
Identify conservative ranges for a specific period in time, for example QQQ:
Worst Use Cases
Using it as a hard and fast support and resistance indicator. This is not what it is for and ranges can be exceeded with momentum. The key is looking for whether ranges are exceeded (i.e. high momentum, thus breakout play) or they are not (thus low volume, rangy).
Using it for longer term outlooks. This is not ideal for long term ranges, as with any Bollinger/standard deviation based approach, it is only responsive to CURRENT PA and cannot forecast FUTURE PA.
User Inputs
The indicator is really straight forward. There are 2 optional inputs and 1 required input.
Period Selection: Required. Selects the period for the indicator to perform the analysis on. You just select it with your mouse on the chart.
Visible MA: Optional. You can choose to have the breakout range moving average visible or not.
Fills: Optional. You can choose to have the fills plotted or not.
And that is the indicator! Very easy to use and hope you enjoy and find it helpful!
As always, safe trades everyone! 🚀
Acceleration Bands HTF
This version gives you the ability to see the indicator from the HIGHER timeframes when you are on the timeframes. Please note that this is not the original formula, but a factored one that I found effective for identifying market trends. Thanks to @capissimo who provided the base open-code.
Acceleration Bands are designed to capture potential price breakouts or reversals in an asset. They are calculated based on a stock's price movements over a specified period, typically using the high, low, and closing prices. The idea is to identify moments when the price is accelerating (hence the name) beyond its normal range, which might indicate the beginning of a new trend.
Calculation
Acceleration Bands consist of three lines:
Upper Band (AB Upper): This is calculated by adding a certain percentage of the simple moving average (SMA) to the highest high over a given period.
Middle Band: This is typically the SMA of the stock's price.
Lower Band (AB Lower): This is calculated by subtracting the same percentage of the SMA from the lowest low over a given period.
Mathematically :
AB Upper = SMA + (Highest High * Percentage)
AB Lower = SMA - (Lowest Low * Percentage)
OR
Upper Band = SMA x (1 + (High - Low) / SMA)
Lower Band = SMA x (1 - (High - Low) / SMA)
Interpretation
The bands are used to identify periods when the price of a security is accelerating or decelerating:
Breakout Above Upper Band: This is usually considered a bullish signal, suggesting that the price is accelerating upwards and a new uptrend may be starting.
Breakdown Below Lower Band: This is usually considered a bearish signal, suggesting that the price is accelerating downwards and a new downtrend may be starting.
Reversal Between Bands: When the price re-enters the region between the bands after breaking out, it can be seen as a potential reversal signal.
Trading Strategy
Entry Signals:
Buy when the price breaks above the upper band.
Sell or short when the price breaks below the lower band.
Exit Signals:
Close a long position when the price falls back into the area between the bands.
Close a short position when the price rises back into the area between the bands.
Advantages
Helps capture early trends.
Can be used across various time frames and assets.
Provides clear entry and exit signals.
Stochastic RSI BandsStochastic RSI Bands by // © drbarry92064859
It is suggested to view this indicator on 15m or 5m timeframe with current Default Settings.
This indicator is based on the StochRsi.
It creates color bands based on the direction of multiple timeframe StochRsi.
When the MTF StochRsi's are opposed in direction it produces darker bands and when aligned in direction it produces light bands.
During Green Bands, price tends to be Bullish. During Red Bands, price tends to be Bearish.
During Medium toned Bands, price action tends to be in a correction in existing HTF trend, ranging, or getting ready for reversal.
During Light Bands, price tends to be in Trend in direction of color.
There is usually Dark Bands on either side of a light or medium toned band.
Best to enter in direction of current color, during the dark band after the medium toned bands
And exit in the dark band after the light toned band.
Brown bands tend to indicate reversal of direction and color.
I have experimented with all the timeframes and StochRSI settings and found the best settings to be as follows.
The Default settings are Middle Time Frame: 4H and Higher TimeFrame: D1.
The Default StochRSI settings are 34 RSI, 21 Stochastic, 13 smooth K and 13 smooth D.
It is suggested to use a lower timeframe such as 15m or 5m for entry.
You can experiment with different StochRSI and TimeFrame Settings.
SUGGESTED STRATEGY
Dark Bands after medium toned bands: Look for an entry on lower timeframe (15m or 5m) based on reversal candlestick formations or other indicators in direction of current color.
Light Bands: Do not enter during lighter bands. You should already be in trade during Light Bands
Light Band changes to Dark Band: Exit Trade if already in.
Look for general change of directional bias if a brown band occurs; however wait for dark band after the 2nd wide band following the brown band.
RSI BandsOverview
The RSI Bands indicator is a tool designed to calculate and display overbought, oversold, and middle bands based on the Relative Strength Index (RSI).
Its primary purpose is to provide traders with a clue on whether to place limit buy or limit sell orders, or to set stop-loss orders effectively. The bands represent the price levels the asset must reach for the RSI to align with specific thresholds:
Overbought Band: Displays the upper band representing the price level the asset must reach for the RSI to become overbought.
Oversold Band: Displays the lower band representing the price level the asset must reach for the RSI to become oversold.
Middle Band: Displays the middle band representing the price level the asset must reach for the RSI to hit the middle level. It uses both traditional RSI calculations and a dynamic period adjustment mechanism for improved adaptability to market conditions. The script also offers smoothing options for the bands.
Features
Calculates overbought, oversold, and middle bands using RSI values.
Dynamically adjusts the RSI period based on pivot points if enabled.
Offers smoothing options for the bands: EMA, SMA, or None.
Customizable input parameters for flexibility.
Inputs
Source Value: Selects the data source (e.g., close price) for RSI calculation.
Period: Sets the static RSI calculation period. Used if dynamic period is disabled.
Use Dynamic Period?: Toggles the use of a dynamic RSI period.
Pivot Left/Right Length: Determines the range of bars for pivot detection when using dynamic periods.
Dynamic Period Multiplier: Scales the dynamically calculated RSI period.
Overbought Level: RSI level that marks the overbought threshold.
Oversold Level: RSI level that marks the oversold threshold.
Middle Level: RSI level used as a midpoint reference.
Smoothing Type: Specifies the smoothing method for the bands (EMA, SMA, or None).
Smoothing Length: Length used for the selected smoothing method.
Key Calculations
RSI Calculation:
Computes RSI using gains and losses over the specified period (dynamic or static).
Incorporates a custom function for calculating RSI with dynamic periods.
Dynamic Period Adjustment:
Uses pivot points to determine an adaptive RSI period.
Multiplies the base dynamic period by the Dynamic Period Multiplier.
Band Calculation:
Calculates price changes (deltas) required to achieve the overbought, oversold, and middle RSI levels.
The price changes (deltas) are determined using an iterative approximation technique. For each target RSI level (overbought, oversold, or middle), the script estimates the required change in price by adjusting a hypothetical delta value until the calculated RSI aligns with the target RSI. This approximation ensures precise calculation of the price levels necessary for the RSI to reach the specified thresholds.
Computes the upper (overbought), lower (oversold), and middle bands by adding these deltas to the source price.
Smoothing:
Applies the selected smoothing method (EMA or SMA) to the calculated bands.
Plots
Overbought Band: Displays the upper band representing the price level the asset must reach for the RSI to become overbought.
Oversold Band: Displays the lower band representing the price level the asset must reach for the RSI to become oversold.
Middle Band: Displays the middle band representing the price level the asset must reach for the RSI to hit the middle level.
Usage
Choose the source value (e.g., close price).
Select whether to use a dynamic RSI period or a static one.
Adjust pivot lengths and multipliers for dynamic period calculation as needed.
Set the overbought, oversold, and middle RSI levels based on your analysis.
Configure smoothing options for the bands.
Observe the plotted bands and use them to identify potential overbought and oversold market conditions.
DCA Strategy with Mean Reversion and Bollinger BandDCA Strategy with Mean Reversion and Bollinger Band
The Dollar-Cost Averaging (DCA) Strategy with Mean Reversion and Bollinger Bands is a sophisticated trading strategy that combines the principles of DCA, mean reversion, and technical analysis using Bollinger Bands. This strategy aims to capitalize on market corrections by systematically entering positions during periods of price pullbacks and reversion to the mean.
Key Concepts and Principles
1. Dollar-Cost Averaging (DCA)
DCA is an investment strategy that involves regularly purchasing a fixed dollar amount of an asset, regardless of its price. The idea behind DCA is that by spreading out investments over time, the impact of market volatility is reduced, and investors can avoid making large investments at inopportune times. The strategy reduces the risk of buying all at once during a market high and can smooth out the cost of purchasing assets over time.
In the context of this strategy, the Investment Amount (USD) is set by the user and represents the amount of capital to be invested in each buy order. The strategy executes buy orders whenever the price crosses below the lower Bollinger Band, which suggests a potential market correction or pullback. This is an effective way to average the entry price and avoid the emotional pitfalls of trying to time the market perfectly.
2. Mean Reversion
Mean reversion is a concept that suggests prices will tend to return to their historical average or mean over time. In this strategy, mean reversion is implemented using the Bollinger Bands, which are based on a moving average and standard deviation. The lower band is considered a potential buy signal when the price crosses below it, indicating that the asset has become oversold or underpriced relative to its historical average. This triggers the DCA buy order.
Mean reversion strategies are popular because they exploit the natural tendency of prices to revert to their mean after experiencing extreme deviations, such as during market corrections or panic selling.
3. Bollinger Bands
Bollinger Bands are a technical analysis tool that consists of three lines:
Middle Band: The moving average, usually a 200-period Exponential Moving Average (EMA) in this strategy. This serves as the "mean" or baseline.
Upper Band: The middle band plus a certain number of standard deviations (multiplier). The upper band is used to identify overbought conditions.
Lower Band: The middle band minus a certain number of standard deviations (multiplier). The lower band is used to identify oversold conditions.
In this strategy, the Bollinger Bands are used to identify potential entry points for DCA trades. When the price crosses below the lower band, this is seen as a potential opportunity for mean reversion, suggesting that the asset may be oversold and could reverse back toward the middle band (the EMA). Conversely, when the price crosses above the upper band, it indicates overbought conditions and signals potential market exhaustion.
4. Time-Based Entry and Exit
The strategy has specific entry and exit points defined by time parameters:
Open Date: The date when the strategy begins opening positions.
Close Date: The date when all positions are closed.
This time-bound approach ensures that the strategy is active only during a specified window, which can be useful for testing specific market conditions or focusing on a particular time frame.
5. Position Sizing
Position sizing is determined by the Investment Amount (USD), which is the fixed amount to be invested in each buy order. The quantity of the asset to be purchased is calculated by dividing the investment amount by the current price of the asset (investment_amount / close). This ensures that the amount invested remains constant despite fluctuations in the asset's price.
6. Closing All Positions
The strategy includes an exit rule that closes all positions once the specified close date is reached. This allows for controlled exits and limits the exposure to market fluctuations beyond the strategy's timeframe.
7. Background Color Based on Price Relative to Bollinger Bands
The script uses the background color of the chart to provide visual feedback about the price's relationship with the Bollinger Bands:
Red background indicates the price is above the upper band, signaling overbought conditions.
Green background indicates the price is below the lower band, signaling oversold conditions.
This provides an easy-to-interpret visual cue for traders to assess the current market environment.
Postscript: Configuring Initial Capital for Backtesting
To ensure the backtest results align with the actual investment scenario, users must adjust the Initial Capital in the TradingView strategy properties. This is done by calculating the Initial Capital as the product of the Total Closed Trades and the Investment Amount (USD). For instance:
If the user is investing 100 USD per trade and has 10 closed trades, the Initial Capital should be set to 1,000 USD.
Similarly, if the user is investing 200 USD per trade and has 24 closed trades, the Initial Capital should be set to 4,800 USD.
This adjustment ensures that the backtesting results reflect the actual capital deployed in the strategy and provides an accurate representation of potential gains and losses.
Conclusion
The DCA strategy with Mean Reversion and Bollinger Bands is a systematic approach to investing that leverages the power of regular investments and technical analysis to reduce market timing risks. By combining DCA with the insights offered by Bollinger Bands and mean reversion, this strategy offers a structured way to navigate volatile markets while targeting favorable entry points. The clear entry and exit rules, coupled with time-based constraints, make it a robust and disciplined approach to long-term investing.
Rolling ATR Bands | Flux Charts💎 GENERAL OVERVIEW
Introducing the Rolling ATR Bands indicator! This indicator overlays adaptive bands around the price, using the Average True Range (ATR) to define dynamic support and resistance levels. The Rolling ATR Bands are color-coded to visually indicate potential trend strength, shifting between bearish, neutral, and bullish colors. This tool can help traders interpret price volatility, as well as identify probable trend changes, continuations, or reversals. For more information about the process, check the "HOW DOES IT WORK ?" section.
Features of the new Rolling ATR Bands:
ATR Bands With Customizable ATR Length & Multiplier
Smooth Trend Strength With Adjustable Smoothing Options
Color-coded bands Representing Bearish, Neutral, or Bullish Trends
Alerts for Retests & Breaks
Customizable Visuals
📌 HOW DOES IT WORK?
The Rolling ATR Bands indicator calculates the ATR based on the specified length and multiplier to form upper and lower bands around the price. These bands adapt with market volatility, widening during high volatility and contracting during lower volatility periods.
In addition, the indicator calculates a "trend strength" score by combining an interpolated RSI, Supertrend, and EMA crossover. This score is smoothed with a customizable length, and a color gradient is applied to visually denote the strength of bearish, neutral, or bullish conditions.
Here's how to interpret the bands:
Upper Band: Acts as dynamic resistance; when price approaches or touches it, this often suggests potential overbought conditions.
Lower Band: Acts as dynamic support; touching or nearing this band might indicate potential oversold conditions.
Color Shifts: Color changes indicate shifts in trend direction. For example, a green color suggests a bullish trend, while red hints at bearish tendencies.
🚩 UNIQUENESS
What sets the Rolling ATR Bands apart is the combined use of interpolated RSI, Supertrend, and EMA cross values, creating a weighted trend strength score. This integration allows for nuanced, color-coded visual cues that respond quickly to trend changes without excessive noise, offering traders an intuitive view of both trend direction and potential momentum. You can also set up alerts for retest & alerts for upper and lower bands to get informed of potential movements.
⚙️ SETTINGS
1. General Configuration
ATR Length : Controls the ATR calculation length for the bands.
Smoothing: Adjusts the trend strength smoothing to control sensitivity to trend changes.
ATR Multiplier : Sets the width of the bands by multiplying the ATR value.
Trend Smoothing : Higher settings will result in longer periods of time required for trend to change direction from bullish to bearish and vice versa.
Bollinger Bands & SuperTrend Strategy by Tradinggg HubThis TradingView Pinescript combines Bollinger Bands and a custom SuperTrend indicator to generate trading signals.
Bollinger Bands:
Bollinger Bands are a popular volatility indicator that consists of three lines:
* Basis: A simple moving average (SMA) of the price (default length is 20 periods).
* Upper Band: The basis plus a standard deviation multiplier (default is 2).
* Lower Band: The basis minus a standard deviation multiplier (default is 2).
These bands expand and contract as volatility increases or decreases, helping traders identify potential overbought and oversold conditions.
SuperTrend:
The SuperTrend indicator is a trend-following tool that aims to identify the direction of the price trend. It uses the Average True Range (ATR) to determine the volatility of the market and sets levels above and below the price to indicate potential trend reversals.
How the Strategy Works:
1. Bollinger Bands: The script plots Bollinger Bands around the price, providing insight into the current volatility and potential overbought or oversold conditions.
2. SuperTrend: The script calculates and plots a custom SuperTrend indicator based on user-defined ATR period and factor. It helps visualize the current trend direction and potential trend reversals.
3. Buy Signals: A buy signal is generated when the following conditions are met:
- The price crosses above the SuperTrend line.
- The price is above the Bollinger Bands basis line.
4. Sell Signals: A sell signal is generated when one of the following conditions is met:
- The price crosses below the SuperTrend line.
- The price is below the Bollinger Bands basis line.
Key Parameters:
* Bollinger Bands Length: The number of periods used to calculate the basis (SMA) of the Bollinger Bands.
* Bollinger Bands Multiplier: The factor used to calculate the standard deviation for the upper and lower bands.
* SuperTrend ATR Period: The number of periods used to calculate the Average True Range (ATR) for the SuperTrend.
* SuperTrend Factor: The factor used to determine the distance of the SuperTrend levels from the price.
Customization:
Feel free to experiment with different parameter values to optimize the strategy for your preferred asset and time frame.
Disclaimer:
This script is intended for educational and informational purposes only. It should not be considered as financial advice. Always conduct thorough research and consider your own risk tolerance before making any trading decisions.
MTF RSI MA System + Adaptive BandsMTF RSI MA System + Adaptive Bands
Overview
MTF RSI MA System + Adaptive Bands is a highly customizable Pine Script indicator for traders seeking a versatile tool for multi-timeframe (MTF) analysis. Unlike traditional RSI, it focuses on the Moving Average of RSI (RSI MA), delivering smoother and more flexible trading signals. The main screenshot displays the indicator in two panels to showcase its diverse capabilities.
Important: Timeframes do not adjust automatically – users must manually set them to match the chart’s timeframe.
Features
Core Component: Built around RSI MA, not raw RSI, for smoother trend signals.
Multi-Timeframe: Analyze RSI MA across three customizable timeframes (default: 4H, 8H, 12H).
Adaptive Bands: Three band calculation methods (Fixed, Percent, StdDev) for dynamic signals.
Flexible Signals: Generated via RSI MA crossovers, band interactions, or directional alignment across timeframes.
Background Coloring: Highlights when RSI MAs across timeframes move in the same direction, aiding trend confirmation.
Screenshot Panels Configuration
Upper Panel: Shows RSI, RSI MA, and fixed bands for reversal strategies (RSI crossing bands).
Lower Panel: Displays three RSI MAs (Alligator-style) for trend-following, with background coloring for directional alignment.
Band Calculation Methods
The indicator offers three ways to calculate bands around RSI MA, each with unique characteristics:
Fixed Bands
Set at a fixed point value (default: 10) above and below RSI MA.
Example: If RSI MA = 50, band value = 10 → upper band = 60, lower = 40.
Use Case: Best for stable markets or fixed-range preferences.
Tip: Adjust the band value to widen or narrow the range based on asset volatility.
Percent Bands
Calculated as a percentage of RSI MA (default: 10%).
Example: If RSI MA = 50, band value = 10% → upper band = 55, lower = 45.
Use Case: Ideal for assets with varying volatility, as bands scale with RSI MA.
Tip: Experiment with percentage values to match typical price swings.
Standard Deviation Bands (StdDev)
Based on RSI’s standard deviation over the MA period, multiplied by a user-defined factor (default: 10).
Example: If RSI MA = 50, standard deviation = 5, factor = 2 → upper band = 60, lower = 40.
Important: The default value (10) may produce wide bands. Reduce to 1–2 for tighter, practical bands.
Use Case: Best for dynamic markets with fluctuating volatility.
Configuration Options
RSI Length: Set RSI calculation period (default: 20).
MA Length: Set RSI MA period (default: 20).
MA Type: Choose SMA or EMA for RSI MA (default: EMA).
Timeframes: Configure three timeframes (default: 4H, 8H, 12H) for MTF analysis.
Overbought/Oversold Levels: Optionally display fixed levels (default: 70/30).
Background Coloring: Enable/disable for each timeframe to highlight directional alignment.
How to Use
Add Indicator: Load it onto your TradingView chart.
Setup:
Reversals: Configure like the upper panel (RSI, RSI MA, bands) and watch for RSI crossing bands.
Trends: Configure like the lower panel (three RSI MAs) and look for fastest MA crossovers and background coloring.
Adjust Timeframes: Manually set tf1, tf2, tf3 (e.g., 1H, 2H, 4H on a 1H chart) to suit your strategy.
Adjust Bands: Choose band type (Fixed, Percent, StdDev) and value. For StdDev, reduce to 1–2 for tighter bands.
Experiment: Test settings to match your trading style, whether scalping, swing trading, or long-term.
Notes
Timeframes: Always match tf1, tf2, tf3 to your chart’s needs, as they don’t auto-adjust.
StdDev Bands: Lower the default value (10) to avoid overly wide bands.
Versatility: Works across markets (stocks, forex, crypto).
Dynamic Trend Bands [ChartPrime]The Dynamic Trend Bands is a versatile trend-following indicator that uses a double-smoothed Hull Moving Average (HMA) to detect market trends, combined with dynamic bands that provide insight into potential momentum shifts and volatility-based price zones.
⯁ KEY FEATURES
Double HMA Trend Filter
Utilizes a double-smoothed HMA for a smoother and more responsive trend line, reducing noise while highlighting clear market trends.
float base = ta.hma(ta.hma(close, length - 10), length)
Dynamic Volatility Bands
Plots upper and lower bands based on volatility, positioned above the price in a downtrend and below the price in an uptrend.
Momentum Shift Detection
Highlights bars in orange when a potential momentum shift occurs:
- During a downtrend, if the high breaks above the upper band.
- During an uptrend, if the low breaks below the lower band.
Customizable Band Appearance
Users can adjust the size, distance, and colors of the bands, as well as choose whether to display the mid-band line and fill the area between bands.
Timeframe Flexibility
Allows selection of different calculation timeframes, enabling traders to adapt the indicator to various trading strategies.
⯁ HOW TO USE
Identify Trend Direction
Use the double HMA line to confirm the prevailing trend:
- Above the bands: downtrend.
- Below the bands: uptrend.
Spot Potential Momentum Shifts
Watch for orange-highlighted bars signaling potential reversals or weakening trends.
Optimize Entries and Exits
Enter trades on trend continuation signals while using band breaks to spot potential reversal zones.
Customize to Fit Your Strategy
Adjust the bands’ size, distance, and calculation timeframe to suit scalping, swing, or position trading.
⯁ CONCLUSION
The Dynamic Trend Bands is an all-in-one tool that helps traders assess trend strength, detect momentum shifts, and identify key price zones. Its customizable features make it adaptable for various trading styles and market conditions.
Advanced RSI with Volatility Bands [RedWhite]English - Introduction
This indicator uses a standard RSI of 14 periods, however, instead of using static lines of 70 and 30 to identify overbought and oversold zones, a moving average band is added, similar to the Bollinger Bands indicator.
Español - Introducción
Este indicador utiliza un RSI estándar de 14 períodos, sin embargo, en lugar de utilizar líneas estáticas de 70 y 30 para identificar las zonas de sobrecompra y sobreventa, se agrega una banda de medias móviles similar al indicador de las Bandas de Bollinger.
English - Calculation
The moving average band is constructed by calculating a moving average (default of 70 periods) on the standard RSI of 14 periods. From this average, volatility bands are applied, drawing an upper and lower band by using a standard deviation (default of 1).
Español - Cálculo
La banda de medias móviles se construye calculando una media móvil (por defecto de 70 períodos) sobre el RSI estándar de 14 períodos. A partir de esta media, se aplican bandas de volatilidad, dibujando así una banda superior e inferior mediante el uso de una desviación estándar (por defecto de 1).
English - Interpretation
When the RSI surpasses the upper band, the chart's background is shaded by default (green) to signal a possible overbought situation. On the other hand, when the RSI surpasses the lower band, the chart's background is shaded by default (red) to signal a possible oversold situation. The indicator can be customized in terms of period length, moving average values, and standard deviations. In addition, background colors can be adjusted according to the user's preferences.
Español - Interpretación
Cuando el RSI supera la banda superior, el fondo del gráfico se sombra de un color por defecto (verde) para señalar una posible situación de sobrecompra. Por otro lado, cuando el RSI supera la banda inferior, el fondo del gráfico se sombrea de un color por defecto (rojo) para señalar una posible situación de sobreventa. El indicador se puede personalizar en cuanto a la longitud de los períodos, los valores de la media móvil y las desviaciones estándar. Además, los colores del fondo se pueden ajustar según las preferencias del usuario.
English - Conclusion
By incorporating moving average bands, the indicator can provide more precise signals that are adjusted to changing market conditions. Additionally, the function of coloring the background can help traders visualize overbought and oversold zones clearly and make informed decisions accordingly. It is important to note that this indicator is not infallible and should be used in conjunction with other indicators and market analysis to make informed trading decisions.
Español - Conclusión
Al incorporar bandas de medias móviles, el indicador puede proporcionar señales más precisas ajustadas a las condiciones cambiantes del mercado. Además, la función de colorear el fondo puede ayudar a los traders a visualizar claramente las zonas de sobrecompra y sobreventa y tomar decisiones informadas en consecuencia. Es importante tener en cuenta que este indicador no es infalible y debe ser utilizado junto con otros indicadores y análisis del mercado para tomar decisiones de trading informadas.
English: For comparison purposes, the standard 14-period RSI is presented above, and below it, the standard 14-period RSI with volatility bands is shown.
Español: Con fines comparativos, se presenta el RSI estándar de 14 períodos arriba, y debajo se muestra el RSI estándar de 14 períodos con bandas de volatilidad.
English: RSI of 14 periods with a band of moving averages of 70 periods and a standard deviation with a value of 1
Español: RSI de 14 periodos con una banda de medias móviles de 70 periodos y una desviación estándar con un valor de 1
English: RSI of 14 periods with a band of moving averages of 70 periods and a standard deviation with a value of 0
Español: RSI de 14 periodos con una banda de medias móviles de 70 periodos y una desviación estándar con un valor de 0
English - Note
This indicator is inspired by Blai5's "Advanced RSI".
Español- Nota
Este indicador está inspirado en el "RSI Avanzado" de Blai5.
RSI Dynamic Bands█ OVERVIEW
The "RSI Dynamic Bands" indicator is a variant of the Relative Strength Index (RSI) oscillator that brings its signals directly onto the price chart. It displays dynamic bands around the price, adjusted based on RSI levels, enabling easy identification of potential overbought or oversold conditions. The indicator also integrates a multi-timeframe RSI table, facilitating the analysis of trend strength across different timeframes.
█ CONCEPTS
The "RSI Dynamic Bands" indicator is designed to simplify the interpretation of price levels in the context of support and resistance zones, which can be correlated with other technical indicators and RSI values. Since the price itself does not display RSI values, a table showing RSI for four selected timeframes has been added, allowing traders to quickly assess trend strength across different time intervals. The most effective approach is to combine the indicator with other technical analysis tools, such as Fibonacci levels or pivot points, to confirm signals when the price approaches the bands and RSI values indicate a potential reversal.
Band Calculation
The bands are calculated based on the current closing price and RSI values, incorporating dynamic scaling to better adapt to market conditions. The formulas for the bands are as follows:
• Upper Band: close + (rsiUpper - rsi) * scaleFactor, where rsiUpper is the upper RSI level (default: 70), and scaleFactor accounts for market volatility.
• Lower Band: close + (rsiLower - rsi) * scaleFactor, where rsiLower is the lower RSI level (default: 30).
• Midline: The arithmetic average of the upper and lower bands: (upperBand + lowerBand) / 2.
Why Scaling? Without scaling, the bands would be chaotic and jagged, making them difficult to interpret. Scaling smooths the bands, making them wider during periods of high volatility and narrower during consolidation, better reflecting potential support and resistance levels.
Indicator Features
• Dynamic Price Bands: The bands adapt to market conditions, facilitating the identification of key price levels.
• Multi-Timeframe RSI Table: Displays RSI values for four selected timeframes (default: 15m, 1h, 4h, Daily), enabling comparison of trend strength across different perspectives.
• Style Customization: Users can adjust band colors, line thickness, and toggle the visibility of bands, fills, and the table.
How to Set Up the Indicator
1 — Add the "RSI Dynamic Bands" indicator to your TradingView chart.
2 — Configure parameters in the settings, such as RSI length, upper/lower levels, and scaling multiplier, to match your trading style.
3 — Enable or disable the display of bands, fills, or the RSI table based on your needs.
4 — Adjust band and table colors in the input section and line thickness in the "Style" section to better align the indicator with your chart.
█ OTHER SECTIONS
FEATURES
• RSI Length: The period for calculating RSI (default: 14).
• RSI Levels: Thresholds for overbought (default: 70) and oversold (default: 30).
• Scaling Multiplier: Adjusts bands based on market volatility (default: 0.15).
• Table Timeframes: Select four timeframes for the RSI table (default: 15m, 1h, 4h, Daily).
• Style Options: Customize band colors, fills, table, and line thickness.
HOW TO USE
Add the indicator to your chart, configure the parameters, and observe price interactions with the bands to identify potential entry and exit points. The RSI table allows you to compare RSI values across different timeframes, aiding in trading decisions. The most effective approach is to combine the indicator with other technical analysis tools, such as Fibonacci levels or pivot points, to confirm signals when the price approaches the bands and RSI values indicate a potential reversal.
Trading Strategies:
• Scalping: Use lower timeframes (e.g., 5m, 15m) in the RSI table to quickly identify short-term lows and highs. Wait for the price to approach the lower band in the RSI oversold zone, with RSI on lower timeframes starting to rise, and other tools, such as Fibonacci levels (e.g., 38.2%) or pivot points, confirming support.
• Medium-Term Trading: Focus on 1h and 4h timeframes. Look for confirmation of a low on a lower timeframe (e.g., 1h), where RSI indicates oversold conditions or starts rising, then check if RSI on a higher timeframe (e.g., 4h) confirms the trend. Confirmation from other tools, such as a Fibonacci level (e.g., 50%) or pivot point near the bands, strengthens the signal.
• Long-Term Trading: Use Daily and higher timeframes (e.g., Weekly). Wait for all relevant timeframes to confirm a low (e.g., RSI near oversold and price at the lower band), with lower timeframes (e.g., 4h) showing rising RSI. Other tools, such as Fibonacci levels (e.g., 61.8%) or pivot points near the bands, can further confirm a trend reversal signal.
Bollinger Bands ETSOverview
Bollinger Bands ETstyle (BB ETS) is an advanced volatility and breakout detection indicator, building upon the classic Bollinger Bands. This script introduces adaptive ATR-based band width smoothing and clear squeeze detection, making it a versatile tool for traders seeking more responsive and actionable volatility analysis.
Features
Dual Bollinger Bands: Plots both standard and outer bands around a configurable moving average, allowing visualization of typical and extreme volatility ranges.
ATR-Based Band Smoothing (Optional): When enabled, the bands automatically widen during low-volatility periods using the Average True Range (ATR), reducing false signals and making the bands more adaptive.
Squeeze Detection (Optional): Highlights periods when the bands contract below a user-defined threshold, signaling potential breakout setups. Squeeze periods are visually marked with a background highlight for easy identification.
Customizable Settings: Users can adjust band length, standard deviation multipliers, ATR parameters, and squeeze thresholds. Both ATR smoothing and squeeze detection can be toggled on or off.
Clean Chart Output: The indicator overlays directly on price with clear, distinguishable visuals for all features.
How It Works
The indicator calculates a moving average (basis) and plots upper and lower bands at user-selected standard deviations.
If ATR smoothing is enabled, the band width expands by a multiple of the ATR, adapting to real-time volatility.
The script computes the relative band width ("bandwidth"). When this falls below your chosen threshold, the background is highlighted to indicate a "squeeze"-a period of reduced volatility that often precedes breakouts.
How to Use
Trend & Volatility Analysis: Use the bands to identify overbought/oversold conditions and current market volatility. Price touching or crossing the outer bands may signal trend exhaustion or continuation.
Breakout Anticipation: Watch for background highlights indicating a squeeze. These periods suggest the market is coiling for a potential significant move.
Adaptive Sensitivity: Enable ATR smoothing to keep bands relevant during both calm and volatile markets, reducing false signals in low-volatility conditions.
Customization: Adjust all parameters in the settings to match your trading style and the asset’s behavior.
Limitations
The indicator is designed for standard price charts and may not perform as intended on non-standard chart types (such as Renko or Heikin Ashi).
As with all technical tools, best results are achieved when used alongside other forms of analysis.
Summary
Bollinger Bands ETstyle (BB ETS) offers a modern, adaptive approach to volatility and breakout analysis by combining classic bands with ATR-based smoothing and clear squeeze visualization. It is suitable for trend-following and breakout strategies, and requires no additional scripts-simply apply to your chart and adjust the settings as needed.
Bollinger Bands cross %The BB strategy (Bollinger Bands strategy) on TradingView utilizes the Bollinger Bands indicator to help traders identify market volatility and potential entry points. The Bollinger Bands indicator consists of three main components:
Middle Band: This is the simple moving average (SMA), usually calculated over a 20-period. It represents the average price over a specific period.
Upper Band and Lower Band: These bands are created by adding and subtracting a multiple of the standard deviation (typically 2) from the middle band. The upper and lower bands help determine the level of price volatility.
How the BB Strategy Works:
Break above the Upper Band: When the price moves above the upper band, it might signal that the market is in an "overbought" condition. This could be a sign to consider selling, but it could also continue if the trend is strong.
Break below the Lower Band: When the price moves below the lower band, it might signal that the market is in an "oversold" condition, which could be a signal to buy if the trend is reversing.
Squeeze (Coiling): When the Bollinger Bands contract, often referred to as a "squeeze," it indicates that the market may be preparing for a strong price move. This is a critical signal in the BB strategy because the narrowing bands signify low volatility and a potential breakout in price.
Specific Strategy:
Buy when price touches the lower band and shows signs of reversal (bullish reversal): If the price touches the lower band, you might wait for a reversal signal, such as a bullish candlestick pattern or confirmation from other indicators like RSI or MACD, indicating oversold conditions.
Sell when price touches the upper band and shows signs of reversal (bearish reversal): Similarly, when the price touches the upper band, you could wait for a bearish reversal signal, such as a bearish candlestick pattern or confirmation from other indicators, and then sell.
Trend-following when bands are expanding: If the Bollinger Bands are expanding and the price continues in the same direction, it could signal a trend-following opportunity.
Big Candle Touches Bollinger BandWhat It Does:
This indicator helps you spot important trading signals by combining Bollinger Bands with big candles.
Key Features:
Bollinger Bands: These bands show the average price (middle band) and the range of price movement (upper and lower bands) over a set period. The bands widen when prices are more volatile and narrow when they are less volatile.
Big Candle Detection: A "big candle" is a candle that has a larger body compared to the average price movement over a period. This is determined using the Average True Range (ATR), which measures market volatility.
How It Works:
Detects Big Candles: It checks if a candle’s body (the difference between its open and close prices) is bigger than usual, based on a multiplier of the ATR.
Touching Bollinger Bands: It looks for candles that touch or cross the upper or lower Bollinger Bands.
Highlights Important Signals:
Sell Signal: When a big candle touches the upper Bollinger Band, it marks it as a "Sell" signal with a red label.
Buy Signal: When a big candle touches the lower Bollinger Band, it marks it as a "Buy" signal with a green label.
Alerts:
You'll get alerts when a big candle touches the upper or lower Bollinger Bands, so you don’t miss these potential trading opportunities.
Visuals:
Bollinger Bands: Shown as three lines on the chart — the upper band (red), the lower band (green), and the middle band (blue).
Labels: Red labels for sell signals and green labels for buy signals when a big candle touches the bands.
This indicator helps you identify potential trading opportunities by focusing on significant price movements and how they interact with the Bollinger Bands.
Bollinger Bands (Nadaraya Smoothed) | Flux ChartsTicker: AMEX:SPY , Timeframe: 1m, Indicator settings: default
General Purpose
This script is an upgrade to the classic Bollinger Bands. The idea behind Bollinger bands is the detection of price movements outside of a stock's typical fluctuations. Bollinger Bands use a moving average over period n plus/minus the standard deviation over period n times a multiplier. When price closes above or below either band this can be considered an abnormal movement. This script allows for the classic Bollinger Band interpretation while de-noising or "smoothing" the bands.
Efficacy
Ticker: AMEX:SPY , Timeframe: 1m, Indicator settings: Standard Dev: 2; Level 1 : off; Level 2: off; labels: off
Upper Band Key:
Blue: Bollinger No smoothing
Orange: Bollinger SMA smoothing period of 10
Purple: Bollinger EMA smoothing period of 10
Red: Nadaraya Smoothed Bollinger bandwidth of 6
Here we chose periods so that each would have a similar offset from the original Bollinger's. Notice that the Red Band has a much smoother result while on average having a similar fit to the other smoothing techniques. Increasing the EMA's or SMA's period would result in them being smoother however the offset would increase making them less accurate to the original data.
Ticker: AMEX:SPY , Timeframe: 1m, Indicator settings: Standard Dev: 2; Level 1: off; Level 2: off; labels: off
Upper Band Key:
Blue: Bollinger No smoothing
Orange: Bollinger SMA smoothing period of 20
Purple: Bollinger EMA smoothing period of 20
Red: Nadaraya Smoothed Bollinger bandwidth of 6
This makes the Nadaraya estimator a particularly efficacious technique in this use case as it achieves a superior smoothness to fit ratio.
How to Use
This indicator is not intended to be used on its own. Its use case is to identify outlier movements and periods of consolidation. The Smoothing Factor when lowered results in a more reactive but noisy graph. This setting is also known as the "bandwidth" ; it essentially raises the amplitude of the kernel function causing a greater weighting to recent data similar to lowering the period of a SMA or EMA. The repaint smoothing simply draws on the Bollinger's each chart update. Typically repaint would be used for processing and displaying discrete data however currently it's simply another way to display the Bollinger Bands.
What makes this script unique.
Since Bollinger bands use standard deviation they have excess noise. By noise we mean minute fluctuations which most traders will not find useful in their strategies. The Nadaraya-Watson estimator, as used, is essentially a weighted average akin to an ema. A gaussian kernel is placed at the candlestick of interest. That candlestick's value will have the highest weight. From that point the other candlesticks' values effect on the average will decrease with the slope of the kernel function. This creates a localized mean of the Bollinger Bands allowing for reduced noise with minimal distortion of the original Bollinger data.
BT-Bollinger Bands - Trend FollowingEsse script foi criado para estudo de Backtest.
O script usa as Bandas de Bollinger para indicar o início de uma tendência, a entrada é configurada quando o preço abre abaixo e fecha acima da banda superior ou para venda quando o preço abre acima e fecha abaixo da banda inferior.
Não há um stop fixo e nem alvo fixo a saída se dá quando o preço toca a média da banda.
Você pode usar uma média móvel como filtro combinado com a estratégia.
O Script também pode ser usado com algum serviço de bot como 3commas.io , basta colocar as mensagens de entrada e saída para o bot.
Autor : Credsonb - Nick: M4TR1X_BR
Neste gráfico estou usando as seguintes configurações:
Bandas Bollinger: 7
Desvio Padrão: 1.5
Time Frame: 12hs
Ticker: ETH
This script was created for Backtest study.
script uses Bollinger Bands to indicate the start of a trend, entry is set when price opens below and closes above the upper band or for short when price opens above and closes below the lower band.
There is no fixed stop and no fixed target, the exit occurs when the price touches the average of the band.
You can use a moving average as a filter combined with the strategy.
The Script can also be used with some bot service like 3commas. io , just put the input and output messages to the bot.
Author : Credsonb - Nick: M4TR1X_BR
PTS - Bollinger Bands with Trailing StopPTS - Bollinger Bands with Trailing Stop Strategy
Overview
The "PTS - Bollinger Bands with Trailing Stop" strategy is designed to capitalize on strong bullish market movements by combining the Bollinger Bands indicator with a dynamic trailing stop based on the Average True Range (ATR). This strategy aims to enter long positions during upward breakouts and protect profits through an adaptive exit mechanism.
Key Features
1. Bollinger Bands Indicator
Basis Moving Average Type: Choose from SMA, EMA, SMMA, WMA, or VWMA for the Bollinger Bands' basis line. Length: Adjustable period for calculating the moving average and standard deviation (default is 20). Standard Deviation Multiplier (StdDev): Determines the width of the bands (default is 2.0). Source: Select the price data used for calculations (default is the closing price).
2. Entry Conditions
The strategy enters a long position when the closing price crosses above the upper Bollinger Band , indicating strong upward momentum.
3. Exit Conditions
Trailing Stop Loss: Implemented using ATR to adjust dynamically with market volatility. ATR Length: Period for calculating ATR (default is 14). ATR Multiplier for Trailing Stop: Determines how closely the trailing stop follows the price (default is 2.0). Close Below Lower Bollinger Band: The strategy exits the long position if the closing price crosses below the lower Bollinger Band .
4. Risk Management
Commission and Slippage: Commission is set at 0.1%; slippage is set to 3. Position Sizing: Uses 100% of equity per trade (adjustable).
5. Date Range Filter
Specify the time period during which the strategy is active. Start Date: January 1, 2018. End Date: December 31, 2069.
Customizable Inputs
BB Length: Adjust the period for Bollinger Bands calculation. BB StdDev: Modify the standard deviation multiplier. Basis MA Type: Select the moving average type. Source: Choose the price data source. Offset: Shift the Bollinger Bands on the chart. ATR Length: Set the period for ATR calculation. ATR Multiplier for Trailing Stop: Adjust the trailing stop sensitivity.
Thought for 1m 7s
Description for the "PTS - Bollinger Bands with Trailing Stop" Strategy
PTS - Bollinger Bands with Trailing Stop Strategy
Overview
The "PTS - Bollinger Bands with Trailing Stop" strategy is designed to capitalize on strong bullish market movements by combining the Bollinger Bands indicator with a dynamic trailing stop based on the Average True Range (ATR). This strategy aims to enter long positions during upward breakouts and protect profits through an adaptive exit mechanism.
Key Features
1. Bollinger Bands Indicator
Basis Moving Average Type: Choose from SMA, EMA, SMMA, WMA, or VWMA for the Bollinger Bands' basis line. Length: Adjustable period for calculating the moving average and standard deviation (default is 20). Standard Deviation Multiplier (StdDev): Determines the width of the bands (default is 2.0). Source: Select the price data used for calculations (default is the closing price).
2. Entry Conditions
The strategy enters a long position when the closing price crosses above the upper Bollinger Band , indicating strong upward momentum.
3. Exit Conditions
Trailing Stop Loss: Implemented using ATR to adjust dynamically with market volatility. ATR Length: Period for calculating ATR (default is 14). ATR Multiplier for Trailing Stop: Determines how closely the trailing stop follows the price (default is 2.0). Close Below Lower Bollinger Band: The strategy exits the long position if the closing price crosses below the lower Bollinger Band .
4. Risk Management
Commission and Slippage: Commission is set at 0.1%; slippage is set to 3. Position Sizing: Uses 100% of equity per trade (adjustable).
5. Date Range Filter
Specify the time period during which the strategy is active. Start Date: January 1, 2018. End Date: December 31, 2069.
Customizable Inputs
BB Length: Adjust the period for Bollinger Bands calculation. BB StdDev: Modify the standard deviation multiplier. Basis MA Type: Select the moving average type. Source: Choose the price data source. Offset: Shift the Bollinger Bands on the chart. ATR Length: Set the period for ATR calculation. ATR Multiplier for Trailing Stop: Adjust the trailing stop sensitivity.
How the Strategy Works
1. Initialization
Calculates Bollinger Bands and ATR based on selected parameters.
2. Entry Logic
Opens a long position when the closing price exceeds the upper Bollinger Band.
3. Exit Logic
Uses a trailing stop loss based on ATR. Exits if the closing price drops below the lower Bollinger Band.
4. Date Filtering
Executes trades only within the specified date range.
Advantages
Adaptive Risk Management: Trailing stop adjusts to market volatility. Simplicity: Clear entry and exit signals. Customizable Parameters: Tailor the strategy to different assets or conditions.
Considerations
Aggressive Position Sizing: Using 100% equity per trade is high-risk. Market Conditions: Best in trending markets; may produce false signals in sideways markets. Backtesting: Always test on historical data before live trading.
Disclaimer
This strategy is intended for educational and informational purposes only. Trading involves significant risk, and past performance is not indicative of future results. Assess your financial situation and consult a financial advisor if necessary.
Usage Instructions
1. Apply the Strategy: Add it to your TradingView chart. 2. Configure Inputs: Adjust parameters to suit your style and asset. 3. Analyze Backtest Results: Use the Strategy Tester. 4. Optimize Parameters: Experiment with input values. 5. Risk Management: Evaluate position sizing and incorporate risk controls.
Final Notes
The "PTS - Bollinger Bands with Trailing Stop" strategy provides a framework to leverage momentum breakouts while managing risk through adaptive trailing stops. Customize and test thoroughly to align with your trading objectives.
RSI with Bollinger Bands Scalp Startegy (1min)
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The "RSI with Bollinger Bands Scalp Strategy (1min)" is a highly effective tool designed for traders who engage in short-term scalping on the 1-minute chart. This indicator combines the strengths of the RSI (Relative Strength Index) and Bollinger Bands to generate precise buy signals, helping traders make quick and informed decisions in fast-moving markets.
How It Works:
RSI (Relative Strength Index):
The RSI is a widely-used momentum oscillator that measures the speed and change of price movements. It operates on a scale of 0 to 100 and helps identify overbought and oversold conditions in the market.
This strategy allows customization of the RSI's lower and upper bands (default settings: 30 for the lower band and 70 for the upper band) and the RSI length (default: 14).
Bollinger Bands:
Bollinger Bands consist of a central moving average (the basis) and two bands that represent standard deviations above and below the basis. These bands expand and contract based on market volatility.
In this strategy, the Bollinger Bands are used to identify potential buy and sell signals based on the price's relationship to the upper and lower bands.
Signal Generation:
Buy Signal: A buy signal is triggered when two conditions are met:
The RSI value falls below the specified lower band, indicating an oversold condition.
The price crosses below the lower Bollinger Band.
The buy signal is then issued on the first positive candle (where the closing price is greater than or equal to the opening price) after these conditions are met.
Sell Signal: In this version of the strategy, the sell signal is currently disabled to focus solely on generating and optimizing the buy signals for scalping.
Strategy Highlights:
This indicator is particularly effective for traders who focus on 1-minute charts and want to capitalize on rapid price movements.
The combination of RSI and Bollinger Bands ensures that buy signals are only generated during significant oversold conditions, helping to filter out false signals.
Customization:
Users can adjust the RSI length, Bollinger Bands length, and the standard deviation multiplier to better fit their specific trading style and the asset they are trading.
The moving average type for Bollinger Bands can be selected from various options, including SMA, EMA, SMMA, WMA, and VWMA, allowing further customization based on individual preferences.
Usage:
Use this indicator on a 1-minute chart to identify potential buy opportunities during short-term price dips.
Since the sell signals are disabled, this strategy is best used in conjunction with other indicators or strategies to manage exit points effectively.
This "RSI with Bollinger Bands Scalp Strategy (1min)" indicator is a valuable tool for traders looking to enhance their short-term trading performance by focusing on high-probability entry points in volatile market conditions.
Multi-Band Trend LineThis Pine Script creates a versatile technical indicator called "Multi-Band Trend Line" that builds upon the concept of the popular "Follow Line Indicator" by Dreadblitz. While the original Follow Line Indicator uses simple trend detection to place a line at High or Low levels, this enhanced version combines multiple band-based trading strategies with dynamic trend line generation. The indicator supports five different band types and provides more sophisticated buy/sell signals based on price breakouts from various technical analysis bands.
Key Features
Multi-Band Support
The indicator supports five different band types:
- Bollinger Bands: Uses standard deviation to create bands around a moving average
- Keltner Channels: Uses ATR (Average True Range) to create bands around a moving average
- Donchian Channels: Uses the highest high and lowest low over a specified period
- Moving Average Envelopes: Creates bands as a percentage above and below a moving average
- ATR Bands: Uses ATR multiplier to create bands around a moving average
Dynamic Trend Line Generation (Enhanced Follow Line Concept)
- Similar to the Follow Line Indicator, the trend line is placed at High or Low levels based on trend direction
- Key Enhancement: Instead of simple trend detection, this version uses band breakouts to trigger trend changes
- When price breaks above the upper band (bullish signal), the trend line is set to the low (optionally adjusted with ATR) - similar to Follow Line's low placement
- When price breaks below the lower band (bearish signal), the trend line is set to the high (optionally adjusted with ATR) - similar to Follow Line's high placement
- The trend line acts as dynamic support/resistance, following the price action more precisely than the original Follow Line
ATR Filter (Follow Line Enhancement)
- Like the original Follow Line Indicator, an ATR filter can be selected to place the line at a more distance level than the normal mode settled at candles Highs/Lows
- When enabled, it adds/subtracts ATR value to provide more conservative trend line placement
- Helps reduce false signals in volatile markets
- This feature maintains the core philosophy of the Follow Line while adding more precision through band-based triggers
Signal Generation
- Buy Signal: Generated when trend changes from bearish to bullish (trend line starts rising)
- Sell Signal: Generated when trend changes from bullish to bearish (trend line starts falling)
- Signals are displayed as labels on the chart
Visual Elements
- Upper and lower bands are plotted in gray
- Trend line changes color based on direction (green for bullish, red for bearish)
- Background color changes based on trend direction
- Buy/sell signals are marked with labeled shapes
How It Works
Band Calculation: Based on the selected band type, upper and lower boundaries are calculated
Signal Detection: When price closes above the upper band or below the lower band, a breakout signal is generated
Trend Line Update: The trend line is updated based on the breakout direction and previous trend line value
Trend Direction: Determined by comparing current trend line with the previous value
Alert Generation: Buy/sell conditions trigger alerts and visual signals
Use Cases
Enhanced trend following strategies: More precise than basic Follow Line due to band-based triggers
Breakout trading: Multiple band types provide various breakout opportunities
Dynamic support/resistance identification: Combines Follow Line concept with band analysis
Multi-timeframe analysis with different band types: Choose the most suitable band for your timeframe
Reduced false signals: Band confirmation provides better entry/exit points compared to simple trend following
Bollinger Bands [LePasha]Bollinger Bands : Advanced Volatility Analysis Made Simple
Discover a refined take on Bollinger Bands that offers clearer market insights and deeper volatility understanding — perfect for traders seeking precision and confidence.
What Is the Bollinger Bands Indicator?
The Bollinger Bands indicator is a powerful, overlay chart tool designed to help traders visualize price volatility and identify potential market extremes more effectively.
Unlike classic Bollinger Bands which use just two standard deviation bands, this enhanced version employs multiple deviation levels around a simple moving average (SMA) to give a richer picture of market dynamics.
Key Features
Multiple Deviation Bands: Instead of only ±2 standard deviations, it uses three extended levels: 2.5, 3.0, and 3.5 standard deviations to highlight subtle and extreme price movements.
Color-coded Volatility Zones: Each band range is filled with translucent red or teal shades to help traders visually grasp the intensity of price moves.
Customizable Length and Toggle: Adjust the length of the bands and enable or disable the indicator easily through inputs.
Why Three Deviation Levels?
Traditional Bollinger Bands (±2 standard deviations) cover approximately 95% of price action, but markets often present significant moves beyond this range that are important to identify for better risk management and trading decisions.
The three deviation levels serve distinct purposes:
Deviation Level Approximate Purpose Market Insight Provided
±2.5 SD Captures strong but fairly common moves Entry/exit trigger zones for trending moves
±3.0 SD Highlights more extreme, less frequent moves Indicates breakout strength or overextension
±3.5 SD Marks rare and extreme price deviations Signals potential reversal or exhaustion
This graduated scale allows traders to differentiate between normal volatility, strong momentum, and possible exhaustion—making it easier to tailor trading decisions according to market context.
How to Use Bollinger Bands
Identify Volatility Zones:
Observe how price interacts with the colored bands:
Price touching or crossing the ±2.5 SD band may indicate a strong move is underway.
Price breaching the ±3.0 or ±3.5 SD bands signals rare, extreme market conditions, which could be either a breakout or a setup for reversal.
Combine With Trend Analysis:
Use in conjunction with trend indicators like moving averages or volume to confirm the direction or strength of moves indicated by the bands.
Adjust Your Stops and Targets:
The layered bands help you set more intelligent stop losses and take profit zones by understanding how far price can reasonably stray.
Visual Clarity for Market Phases:
The shaded fills between bands give intuitive visual cues of volatility expansion and contraction phases.
Why Traders Choose Bollinger Bands
Greater Precision: More nuanced volatility detection than traditional Bollinger Bands.
Visual Elegance: Soft translucent fills and clear band lines reduce clutter while delivering maximum insight.
User-Friendly: Easy to toggle and adjust with minimal setup.
Versatile: Effective across assets, timeframes, and trading styles.
Final Thoughts
The Bollinger Bands indicator is more than just a volatility tool — it's your visual guide to understanding how extreme price moves develop in real-time. Whether you’re entering new trades, managing risk, or hunting reversals, this indicator equips you with superior clarity and confidence.
Add Bollinger Bands to your TradingView toolkit and see volatility like never before.
Bollinger Bands + RSI [Uncle Sam Trading]The Bollinger Bands + RSI indicator combines two popular technical analysis tools, Bollinger Bands (BB) and the Relative Strength Index (RSI), into a unified framework designed to assess both market volatility and momentum. This indicator provides both visual signals on the chart, and allows you to set alerts. It is intended to help traders identify potential overbought/oversold conditions, trend reversals, and to refine trade entry and exit points.
Key Features:
Bollinger Bands: The indicator plots Bollinger Bands, which consist of a basis line (typically a 20-period Simple Moving Average), an upper band (basis + 2 standard deviations), and a lower band (basis - 2 standard deviations). The bands dynamically adjust to market volatility, widening during periods of increased volatility and contracting during periods of decreased volatility.
Relative Strength Index (RSI): The RSI, a momentum oscillator, is plotted in a separate pane below the price chart. It measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. Traditional interpretation uses 70 and 30 as overbought and oversold levels, respectively.
Overbought/Oversold Zones Highlighting: This indicator uniquely highlights overbought and oversold zones directly on the price chart based on the RSI values. When the RSI is above the overbought level (default 70), a red-shaded area is displayed. When the RSI is below the oversold level (default 30), a green-shaded area is displayed. These visual cues enhance the identification of potential trend reversals.
Buy and Sell Signals: The indicator generates buy signals when the price crosses above the lower Bollinger Band and the RSI is below the oversold level (if the RSI filter is enabled). Sell signals are generated when the price crosses below the upper Bollinger Band and the RSI is above the overbought level (if the RSI filter is enabled). These signals are plotted as green upward-pointing triangles (buy) and red downward-pointing triangles (sell) on the chart.
Customizable Parameters: Users can adjust various settings, including:
Bollinger Bands Length: The number of periods used to calculate the moving average and standard deviation.
Bollinger Bands Standard Deviation: The multiplier used to determine the distance of the upper and lower bands from the basis.
RSI Length: The number of periods used to calculate the RSI.
RSI Overbought/Oversold Levels: The threshold values that define overbought and oversold conditions for the RSI.
Use RSI Filter for Signals: Enable/disable the RSI filter for buy and sell signals.
Colors: The colors of the Bollinger Bands, RSI, overbought/oversold levels, and zone highlights can be customized to suit user preferences.
Alerts: The indicator supports customizable alerts for various conditions, including:
Buy Signal: Triggered when a buy signal is generated.
Sell Signal: Triggered when a sell signal is generated.
Price Crossed Upper BB: Triggered when the price crosses above the upper Bollinger Band.
Price Crossed Lower BB: Triggered when the price crosses below the lower Bollinger Band.
RSI Overbought: Triggered when the RSI crosses above the overbought level.
RSI Oversold: Triggered when the RSI crosses below the oversold level.
How to Use:
The Bollinger Bands + RSI indicator can be used in various ways, including:
Identifying Potential Trend Reversals: Price crosses above the lower band coupled with an oversold RSI (and highlighted zone) may signal a bullish reversal. Conversely, a price cross below the upper band with an overbought RSI (and highlighted zone) may indicate a bearish reversal.
Confirming Trend Strength: In an uptrend, the price may "ride" the upper band, while in a downtrend, it may "ride" the lower band.
Exit Signals: Crossing the opposite band while in a trade, particularly with confirming RSI signals, is often used to identify potential exit points.
Combined with Other Analysis: This indicator works well in conjunction with other technical analysis tools, such as trend lines, support/resistance levels, chart patterns, and moving average-based strategies.
Disclaimer:
This indicator is for educational and informational purposes only and should not be considered as financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct thorough research and consider your risk tolerance before making any trading decisions.
ATR Bands with Optional Risk/Reward Colors█ OVERVIEW
This indicator projects ATR bands and, optionally, colors them based on a risk/reward advantage for those who trade breakouts/breakdowns using moving averages as partial or full exit points.
█ DEFINITIONS
► True Range
The True Range is a measure of the volatility of a financial asset and is defined as the maximum difference among one of the following values:
- The high of the current period minus the low of the current period.
- The absolute value of the high of the current period minus the closing price of the previous period.
- The absolute value of the low of the current period minus the closing price of the previous period.
► Average True Range
The Average True Range was developed by J. Welles Wilder Jr. and was introduced in his 1978 book titled "New Concepts in Technical Trading Systems". It is calculated as an average of the true range values over a certain number of periods (usually 14) and is commonly used to measure volatility and set stop-loss and profit targets (1).
For example, if you are looking at a daily chart and you want to calculate the 14-day ATR, you would take the True Range of the previous 14 days, calculate their average, and this would be the ATR for that day. The process is then repeated every day to obtain a series of ATR values over time.
The ATR can be smoothed using different methods, such as the Simple Moving Average (SMA), the Exponential Moving Average (EMA), or others, depending on the user's preferences or analysis needs.
► ATR Bands
The ATR bands are created by adding or subtracting the ATR from a reference point (usually the closing price). This process generates bands around the central point that expand and contract based on market volatility, allowing traders to assess dynamic support and resistance levels and to adapt their trading strategies to current market conditions.
█ INDICATOR
► ATR Bands
The indicator provides all the essential parameters for calculating the ATR: period length, time frame, smoothing method, and multiplier.
It is then possible to choose the reference point from which to create the bands. The most commonly used reference points are Open, High, Low, and Close, but you can also choose the commonly used candle averages: HL2, HLC3, HLCC4, OHLC4. Among these, there is also a less common "OC2", which represents the average of the candle body. Additionally, two parameters have been specifically created for this indicator: Open/Close and High/Low.
With the "Open/Close" parameter, the upper band is calculated from the higher value between Open and Close, while the lower one is calculated from the lower value between Open and Close. In the case of bullish candles, therefore, the Close value is taken as the starting point for the upper band and the Open value for the lower one; conversely, in bearish candles, the Open value is used for the upper band and the Close value for the lower band. This setting can be useful for precautionally generating broader bands when trading with candlesticks like hammers or inverted hammers.
The "High/Low" parameter calculates the upper band starting from the High and the lower band starting from the Low. Among all the available options, this one allows drawing the widest bands.
Other possible options to improve the drawing of ATR bands, aligning them with the price action, are:
• Doji Smoothing: When the current candle is a doji (having the same Open and Close price), the bands assume the values they had on the previous candle. This can be useful to avoid steep fluctuations of the bands themselves.
• Extend to High/Low: Extends the bands to the High or Low values when they exceed the value of the band.
• Round Last Cent: Expands the upper band by one cent if the price ends with x.x9, and the lower band if the price ends with x.x1. This function only works when the asset's tick is 0.01.
► Risk/Reward Advantage
The indicator optionally colors the ATR bands after setting a breakpoint, one or two risk/reward ratios, and a series of moving averages. This function allows you to know in advance whether entering a trade can provide an advantage over the risk. The band is colored when the ratio between the distance from the break point to the band and the distance from the break point to the first available moving average reaches at least the set ratio value. It is possible to set two colorings, one for a minimum risk/reward ratio and one for an optimal risk/reward ratio.
The break point can be chosen between High/Low (High in case of breakout, Low in case of breakdown) or Open/Close (on breakouts, Close with bullish candles or Open with bearish candles; on breakdowns, Close with bearish candles or Open with bullish candles).
It is possible to choose up to 10 moving averages of various types, including the VWAP with the Anchor Period (2).
Depending on the "Price to MA" setting, the bands can be individually or simultaneously colored.
By selecting "Single Direction," the risk/reward calculation is performed only when all moving averages are above or below the break point, resulting in only one band being colored at a time. For this reason, when the break point is in between the moving averages, the calculation is not executed. This setting can be useful for strategies involving price movement from a level towards a series of specific moving averages (for example, in reversals starting from a certain level towards the VWAP with possible partial take profits on some previous moving averages, or simply in trend following towards one or more moving averages).
Choosing "Both Directions" the risk/reward ratio is calculated based on the first available moving averages both above and below the price. This setting is useful for those who operate in range bound markets or simply take advantage of movements between moving averages.
█ NOTE
This script may not be suitable for scalping strategies that require immediate entries due to the inability to know the ATR of a candle in advance until its closure. Once the candle is closed, you should have time to place a stop or stop-limit order, so your strategy should not anticipate an immediate start with the next candle. Even more conveniently, if your strategy involves an entry on a pullback, you can place a limit order at the breakout level.
(1) www.tradingview.com
(2) For convenience, the code for the Anchor Period has been entirely copied from the VWAP code provided by TradingView.
