Enhanced Bollinger Bands Strategy with SL/TP// Title: Enhanced Bollinger Bands Strategy with SL/TP
// Description:
// This strategy is based on the classic Bollinger Bands indicator and incorporates Stop Loss (SL) and Take Profit (TP) levels for automated trading. It identifies potential long and short entry points based on price crossing the lower and upper Bollinger Bands, respectively. The strategy allows users to customize several parameters to suit different market conditions and risk tolerances.
// Key Features:
// * **Bollinger Bands:** Uses Simple Moving Average (SMA) as the basis and calculates upper and lower bands based on a user-defined standard deviation multiplier.
// * **Customizable Parameters:** Offers extensive customization, including SMA length, standard deviation multiplier, Stop Loss (SL) in pips, and Take Profit (TP) in pips.
// * **Long/Short Position Control:** Allows users to independently enable or disable long and short positions.
// * **Stop Loss and Take Profit:** Implements Stop Loss and Take Profit levels based on pip values to manage risk and secure profits. Entry prices are set to the band levels on signals.
// * **Visualizations:** Provides options to display Bollinger Bands and entry signals on the chart for easy analysis.
// Strategy Logic:
// 1. **Bollinger Bands Calculation:** The strategy calculates the Bollinger Bands using the specified SMA length and standard deviation multiplier.
// 2. **Entry Conditions:**
// * **Long Entry:** Enters a long position when the closing price crosses above the lower Bollinger Band and the `Enable Long Positions` setting is enabled.
// * **Short Entry:** Enters a short position when the closing price crosses below the upper Bollinger Band and the `Enable Short Positions` setting is enabled.
// 3. **Exit Conditions:**
// * **Stop Loss:** Exits the position if the price reaches the Stop Loss level, calculated based on the input `Stop Loss (Pips)`.
// * **Take Profit:** Exits the position if the price reaches the Take Profit level, calculated based on the input `Take Profit (Pips)`.
// Input Parameters:
// * **SMA Length (length):** The length of the Simple Moving Average used to calculate the Bollinger Bands (default: 20).
// * **Standard Deviation Multiplier (mult):** The multiplier applied to the standard deviation to determine the width of the Bollinger Bands (default: 2.0).
// * **Enable Long Positions (enableLong):** A boolean value to enable or disable long positions (default: true).
// * **Enable Short Positions (enableShort):** A boolean value to enable or disable short positions (default: true).
// * **Pip Value (pipValue):** The value of a pip for the traded instrument. This is crucial for accurate Stop Loss and Take Profit calculations (default: 0.0001 for most currency pairs). **Important: Adjust this value to match the specific instrument you are trading.**
// * **Stop Loss (Pips) (slPips):** The Stop Loss level in pips (default: 10).
// * **Take Profit (Pips) (tpPips):** The Take Profit level in pips (default: 20).
// * **Show Bollinger Bands (showBands):** A boolean value to show or hide the Bollinger Bands on the chart (default: true).
// * **Show Entry Signals (showSignals):** A boolean value to show or hide entry signals on the chart (default: true).
// How to Use:
// 1. Add the strategy to your TradingView chart.
// 2. Adjust the input parameters to optimize the strategy for your chosen instrument and timeframe. Pay close attention to the `Pip Value`.
// 3. Backtest the strategy over different periods to evaluate its performance.
// 4. Use the `Enable Long Positions` and `Enable Short Positions` settings to customize the strategy for specific market conditions (e.g., only long positions in an uptrend).
// Important Notes and Disclaimers:
// * **Backtesting Results:** Past performance is not indicative of future results. Backtesting results can be affected by various factors, including market volatility, slippage, and transaction costs.
// * **Risk Management:** This strategy is provided for informational and educational purposes only and should not be considered financial advice. Always use proper risk management techniques when trading. Adjust Stop Loss and Take Profit levels according to your risk tolerance.
// * **Slippage:** The strategy takes into account slippage by specifying a slippage parameter on the `strategy` declaration. However, real-world slippage may vary.
// * **Market Conditions:** The performance of this strategy can vary significantly depending on market conditions. It may perform well in trending markets but poorly in ranging or choppy markets.
// * **Pip Value Accuracy:** **Ensure the `Pip Value` is correctly set for the specific instrument you are trading. Incorrect pip value will result in incorrect stop loss and take profit placement.** This is critical.
// * **Broker Compatibility:** The strategy's performance may vary depending on your broker's execution policies and fees.
// * **Disclaimer:** I am not a financial advisor, and this script is not financial advice. Use this strategy at your own risk. I am not responsible for any losses incurred while using this strategy.
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Standard Error Bands**Standard Error Bands Indicator: A Statistically Robust Tool for Trend Analysis**
The Standard Error Bands (SEB) indicator is a powerful technical analysis tool designed to help traders identify and assess trends with greater accuracy. Unlike traditional band indicators (e.g., Bollinger Bands) that rely on price averages, SEB leverages linear regression and statistical measures of volatility to offer deeper insights into market dynamics.
**How It Works**
1. **Linear Regression:** The indicator first calculates a linear regression line to model the underlying price trend. This line represents the "best fit" of price data over the specified lookback period.
2. **Standard Error:** Next, it calculates the standard error of the regression. This statistical measure quantifies the average distance between actual prices and the regression line, effectively acting as a volatility gauge.
3. **Smoothing:** Both the linear regression line and the standard error values are smoothed using a Simple Moving Average (SMA) to reduce noise and enhance the visual clarity of the bands.
4. **Band Construction:** The upper and lower bands are formed by adding/subtracting a multiple of the smoothed standard error from the smoothed linear regression line. The default multiplier is 2, representing approximately 95% of price action expected within the bands under normal market conditions.
**Key Insights**
* **Trend Strength:** Tight bands suggest a strong, well-defined trend with low volatility. Prices tend to adhere closely to the regression line, indicating a high probability of trend continuation.
* **Trend Weakness/Change:** Widening or expanding bands signal increased volatility and potential trend weakness. Prices deviating from the regression line may suggest an impending trend reversal or a shift into a sideways consolidation phase.
* **Entry/Exit Signals:**
* Consider entering a trade when prices break out of the bands in the direction of the trend, especially if the bands were previously tight.
* Conversely, consider exiting a trade when prices pierce the bands against the trend or when the bands start to widen significantly.
**Use Cases**
* **Trend Identification:** SEB can help traders identify trends earlier and more accurately than moving average-based indicators.
* **Trend Confirmation:** The bands can be used to confirm the validity and strength of an existing trend.
* **Volatility Assessment:** Changes in band width provide valuable insights into market volatility, aiding risk management decisions.
* **Entry/Exit Timing:** SEB can be incorporated into trading strategies to generate timely entry and exit signals.
**Important Considerations**
* **Parameter Optimization:** Experiment with different lookback periods, smoothing values, and standard error multipliers to find the optimal settings for your preferred trading style and market conditions.
* **Supplementary Indicators:** Combine SEB with other technical indicators (e.g., momentum oscillators, volume analysis) for a more comprehensive market assessment.
* **Backtesting:** Thoroughly backtest any SEB-based trading strategy to ensure its effectiveness before deploying it in live markets.
**Disclaimer:** Technical indicators like SEB are valuable tools but should not be used in isolation. Always consider price action or fundamental factors and risk management principles when making trading decisions.
Multi Bollinger Bands with Background FillMulti Bollinger Bands with Background Fill
多組帶狀背景布林通道
This indicator plots six independent Bollinger Bands channels on the price chart, each fully configurable with customizable period length, standard deviation, and colors for upper, lower, and middle bands. Users can choose to display or hide each channel and its middle band independently.
A distinctive feature of this tool is the option to enable colored background fills between paired Bollinger Bands (channels 1&2, 3&4, and 5&6) to visually highlight volatility zones, improving the clarity of price action and aiding in multi-timeframe volatility analysis.
Key Features:
Six independent Bollinger Bands channels with separate visibility toggles.
Adjustable length and standard deviation for each channel.
Option to display or hide the middle band (basis) for each channel.
Unique colored background fills between paired upper and lower bands for enhanced visual interpretation.
Custom color settings for each band and background for better differentiation.
This indicator is designed for traders looking for advanced multi-layered volatility insights and clearer visual guidance when analyzing price behavior across different timeframes. It is suitable for various trading strategies including trend analysis and volatility-based setups.
Bollinger Band StrategyDescription of the Bollinger Band Breakout Strategy
This trading strategy, credited to Siddhart Bhanushali, is a momentum-based approach that uses Bollinger Bands and a 22-period Simple Moving Average (SMA) to identify high-probability breakout trades. It focuses on detecting periods of low volatility (contraction) followed by high volatility (expansion) to enter trades with a favorable risk-reward ratio. The strategy is designed to capture significant price movements in trending markets, with clear rules for entry, stop loss, and profit targets.
Strategy Overview
The strategy generates buy and sell signals based on specific conditions involving the 22-period SMA and Bollinger Bands. It aims to enter trades when the price breaks out of a consolidation phase, confirmed by the direction of the SMA and the behavior of a green or red candle relative to the Bollinger Bands. The minimum target for each trade is a 1:2 risk-reward ratio.
Credit
This strategy is credited to Siddhart Bhanushali, who designed it to leverage Bollinger Band breakouts in trending markets, providing a clear and systematic approach to trading with defined risk-reward parameters.
ATR+StdTR Band and Trailing StopThis Pine Script code plots the "ATR+StdTR Band and Trailing Stop," serving as a tool for volatility-based risk management and trend detection. While bands are typically set using a multiple of ATR, this script uses StdTR (the True Range standard deviation) and sets the band width based on ±(ATR + n times StdTR). StdTR is a great tool for detecting price volatility and anomalies, allowing traders to adapt to rapid changes in extreme market conditions. This helps traders proactively manage risk during sudden market fluctuations.
The following features are provided:
Table Display
A table is shown on the chart, allowing traders to visually track the current ATR value, StdTR (σ), and the long/short stop-loss levels (±ATR ± nσ). This enables real-time monitoring of risk management data.
Band Plots
The script plots bands that combine ATR with StdTR (nσ).
The upper and lower bands are calculated using the previous candle’s closing price (the source is customizable) and are plotted as ±(ATR + nσ), providing a clear visual of the price range.
ATR ± nσ Trailing Stop
The trailing stop dynamically adjusts the stop-loss levels based on price movements. In an uptrend, the stop-loss rises, while in a downtrend, it lowers, helping traders lock in profits while minimizing losses during significant reversals.
Breakout Detection
Breakouts are detected when the price exceeds the upper band or drops below the lower band. A visual marker (X) is displayed on the chart, allowing traders to quickly recognize when the price has moved beyond normal volatility ranges, making it easier to respond to trend formations or reversals.
Customization Points:
The ATR period and StdTR (n) are fully customizable.
The source for ATR band calculation can be adjusted, allowing traders to choose from close, open, high, low, etc.
The table’s display position and design (text color, size, etc.) can be customized to present the information clearly and effectively.
BBMA Enhanced Pro - Multi-Timeframe Band Breakout StrategyShort Title : BBMA Pro
Overview
The BBMA Enhanced Pro is a professional-grade trading indicator that builds on the Bollinger Bands Moving Average (BBMA) strategy, pioneered by Omar Ali , a Malaysian forex trader and educator. Combining Bollinger Bands with Weighted Moving Averages (WMA) , this indicator identifies high-probability breakout and reversal opportunities across multiple timeframes. With advanced features like multi-timeframe Extreme signal detection, eight professional visual themes, and a dual-mode dashboard, it’s designed for traders seeking precision in trending and consolidating markets. Optimized for dark chart backgrounds, it’s ideal for forex, stocks, and crypto trading.
History
The BBMA strategy was developed by Omar Ali (BBMA Oma Ally) in the early 2010s, gaining popularity in the forex trading community, particularly in Southeast Asia. Building on John Bollinger’s Bollinger Bands, Omar Ali integrated Weighted Moving Averages and a multi-timeframe approach to create a structured system for identifying reversals, breakouts, and extreme conditions. The BBMA Enhanced Pro refines this framework with modern features like real-time dashboards and customizable visualizations, making it accessible to both novice and experienced traders.
Key Features
Multi-Timeframe Extreme Signals : Detects Extreme signals (overbought/oversold conditions) on both current and higher timeframes simultaneously, a rare feature that enhances signal reliability through trend alignment.
Professional Visual Themes : Eight distinct themes (e.g., Neon Contrast, Fire Gradient) optimized for dark backgrounds.
Dual-Mode Dashboard : Choose between Full Professional (detailed metrics) or Simplified Trader (essential info with custom notes).
Bollinger Band Squeeze Detection : Identifies low volatility periods (narrow bands) signaling potential sideways markets or breakouts.
Confirmation Labels : Displays labels when current timeframe signals align with recent higher timeframe signals, highlighting potential consolidations or squeezes.
Timeframe Validation : Prevents selecting the same timeframe for current and higher timeframe analysis.
Customizable Visualization : Toggle signal dots, EMA 50, and confirmation labels for a clean chart experience.
How It Works
The BBMA Enhanced Pro combines Bollinger Bands (20-period SMA, ±2 standard deviations) with WMA (5 and 10 periods) to generate trade signals:
Buy Signal : WMA 5 Low crosses above the lower Bollinger Band, indicating a recovery from an oversold condition (Extreme buy).
Sell Signal : WMA 5 High crosses below the upper Bollinger Band, signaling a rejection from an overbought condition (Extreme sell).
Extreme Signals : Occur when prices or WMAs move significantly beyond the Bollinger Bands (±2σ), indicating statistically rare overextensions. These often coincide with Bollinger Band Squeezes (narrow bands, low standard deviation), signaling potential sideways markets or impending breakouts.
Multi-Timeframe Confirmation : The indicator’s unique strength is its ability to detect Extreme signals on both the current and higher timeframe (HTF) within the same chart. When the HTF generates an Extreme signal (e.g., buy), and the current timeframe follows with an identical signal, it suggests the lower timeframe is aligning with the HTF’s trend, increasing reliability. Labels appear only when this alignment occurs within a user-defined lookback period (default: 50 bars), highlighting periods of band contraction across timeframes.
Bollinger Band Squeeze : Narrow bands (low standard deviation) indicate reduced volatility, often preceding consolidation or breakouts. The indicator’s dashboard tracks band width, helping traders anticipate these phases.
Why Multi-Timeframe Extremes Matter
The BBMA Enhanced Pro’s multi-timeframe approach is rare and powerful. When the higher timeframe shows an Extreme signal followed by a similar signal on the current timeframe, it suggests the market is following the HTF’s trend or entering a consolidation phase. For example:
HTF Sideways First : If the HTF Bollinger Bands are shrinking (low volatility, low standard deviation), it signals a potential sideways market. Waiting for the current timeframe to show a similar Extreme signal confirms this consolidation, reducing the risk of false breakouts.
Risk Management : By requiring HTF confirmation, the indicator encourages traders to lower risk during uncertain periods, waiting for both timeframes to align in a low-volatility state before acting.
Usage Instructions
Select Display Mode :
Current TF Only : Shows Bollinger Bands and WMAs on the chart’s timeframe.
Higher TF Only : Displays HTF bands and WMAs.
Both Timeframes : Combines both for comprehensive analysis.
Choose Higher Timeframe : Select from 1min to 1D (e.g., 15min, 1hr). Ensure it differs from the current timeframe to avoid validation errors.
Enable Signal Dots : Visualize buy/sell Extreme signals as dots, sourced from current, HTF, or both timeframes.
Toggle Confirmation Labels : Display labels when current timeframe Extremes align with recent HTF Extremes, signaling potential squeezes or consolidations.
Customize Dashboard :
Full Professional Mode : View metrics like BB width, WMA trend, and last signal.
Simplified Trader Mode : Focus on essential info with custom trader notes.
Select Visual Theme : Choose from eight themes (e.g., Ice Crystal, Royal Purple) for optimal chart clarity.
Trading Example
Setup : 5min chart, HTF set to 1hr, signal dots and confirmation labels enabled.
Buy Scenario : On the 5min chart, WMA 5 Low crosses above the lower Bollinger Band (Extreme buy), confirmed by a recent 1hr Extreme buy signal within 50 bars. The dashboard shows narrow bands (squeeze), and a green label appears.
Action : Enter a long position, targeting the middle band, with a stop-loss below the recent low. The HTF confirmation suggests a strong trend or consolidation phase.
Sell Scenario : WMA 5 High crosses below the upper Bollinger Band on the 5min chart, confirmed by a recent 1hr Extreme sell signal. The dashboard indicates a squeeze, and a red label appears.
Action : Enter a short position, targeting the middle band, with a stop-loss above the recent high. The aligned signals suggest a potential reversal or sideways market.
Customization Options
BBMA Display Mode : Current TF Only, Higher TF Only, or Both Timeframes.
Higher Timeframe : 1min to 1D.
Visual Theme : Eight professional themes (e.g., Neon Contrast, Forest Glow).
Line Style : Smooth or Step Line for HTF plots.
Signal Dots : Enable/disable, select timeframe source (Current, Higher, or Both).
Confirmation Labels : Toggle and set lookback window (1-100 bars).
Dashboard : Enable/disable, choose mode (Full/Simplified), and set position (Top Right, Bottom Left, etc.).
Notes
Extreme Signals and Squeezes : Extreme signals often occur during Bollinger Band contraction (low standard deviation), signaling potential sideways markets or breakouts. Use HTF confirmation to filter false signals.
Risk Management : If the HTF shows a squeeze (narrow bands), wait for the current timeframe to confirm with an Extreme signal to reduce risk in choppy markets.
Limitations : Avoid trading Extremes in highly volatile markets without additional confirmation (e.g., volume, RSI).
Author Enhanced Professional Edition, inspired by Omar Ali’s BBMA strategy
Version : 6.0 Pro - Simplified
Last Updated : September 2025
License : Mozilla Public License 2.0
We’d love to hear your feedback! Share your thoughts or questions in the comments below.
Bollinger Bands Multi TFBollinger Bands Multi TF Indicator
Overview
The Bollinger Bands Multi TF Indicator allows traders to overlay two sets of Bollinger Bands from different timeframes onto the same chart. This provides a broader market perspective by helping identify volatility and trend direction across multiple timeframes.
Features
✅ Dual Timeframe Support – Configure Bollinger Bands for two different timeframes (default: 15 min & 5 min).
✅ Customizable Moving Averages – Choose from SMA, EMA, SMMA (RMA), WMA, or VWMA as the basis line for each band.
✅ Dynamic Standard Deviation – Adjust the standard deviation multiplier for each timeframe.
✅ Visual Clarity – Different colors for each Bollinger Band set, with background filling for better visualization.
How to Use
🔹 Use the higher timeframe Bollinger Bands to identify overall trend and key resistance/support levels.
🔹 Use the lower timeframe Bollinger Bands for fine-tuned entry/exit signals within the broader trend.
🔹 A tightening of bands may indicate low volatility, signaling a potential breakout.
🔹 A widening of bands may suggest increased volatility and trend continuation.
Ideal For
📈 Intraday and swing traders looking for multi-timeframe confluence.
📊 Volatility-based traders who use Bollinger Bands for breakouts or reversals.
📍 Any trader wanting a deeper market context beyond a single timeframe.
FX Session High/Low Bands - Last 5 EST Days
FX Session High/Low Bands - Last 5 Days
Description:
This indicator plots horizontal bands representing the high and low price levels from the major forex trading sessions over the last 5 days. It helps traders identify key support and resistance zones based on recent session activity.
Features:
Multiple Session Tracking: Displays high/low levels for major FX sessions:
Asian Session (Tokyo)
European Session (London)
US Session (New York)
5-Day Lookback: Captures the highest high and lowest low from each session over the previous 5 trading days
Visual Bands: Clear horizontal lines or filled zones showing session boundaries
Dynamic Updates: Automatically recalculates as new session data becomes available
How to Use:
Support/Resistance: Previous session highs/lows often act as key price levels
Breakout Trading: Watch for price breaking above/below session bands
Range Trading: Trade within the bands during consolidation periods
Session Overlap: Pay attention to multiple session bands converging
Ideal For:
Forex day traders
Session-based trading strategies
Support/resistance identification
Multi-timeframe analysis
Triple HMA Bands (1.2 / 1.4 / 1.6)📈 Triple HMA Bands — Custom Volatility & Trend Indicator
Description:
The Triple HMA Bands indicator combines the Hull Moving Average (HMA) with volatility-based envelopes, similar to Bollinger Bands, to visualize trend direction and market extremes.
The HMA (length 90) serves as the central trend line, offering a smooth and responsive view of market direction.
Surrounding the HMA are three dynamic bands calculated using standard deviations of price:
Inner Band (1.2σ) — normal volatility range.
Middle Band (1.4σ) — elevated volatility zone.
Outer Band (1.6σ) — statistically extreme price movement.
The shaded zones between the bands help visualize volatility expansion and contraction, making it easier to identify:
Trend strength and stability
Potential reversal zones
Breakout or breakdown events
How to Use:
Price staying within the inner band may indicate a stable trend or consolidation.
Price reaching or exceeding the outer band suggests overbought/oversold conditions and potential reversal.
Widening bands = rising volatility; narrowing bands = low volatility, often before a breakout.
This indicator is ideal for trend traders, mean reversion strategies, or anyone wanting a volatility-sensitive trend filter.
Bollinger Bands, RSI, and MA StrategyThe "Bollinger Bands, RSI and MA Strategy" is a trend-following strategy that combines the Bollinger Bands indicator, the Relative Strength Index (RSI), and a moving average (MA). It aims to identify potential entry and exit points in the market based on price volatility, momentum, and trend.
The strategy uses two Bollinger Bands with different standard deviations to create price channels. The default settings for the Bollinger Bands are a length of 20 periods and a standard deviation of 2.0. The upper and lower bands of the Bollinger Bands serve as dynamic resistance and support levels, respectively.
The RSI indicator is employed to gauge the strength of price momentum.
The strategy also incorporates a 50-period moving average (MA) to help identify the overall trend direction. When the price is above the MA, it suggests an uptrend, and when the price is below the MA, it suggests a downtrend.
The entry conditions for long trades are when the RSI is above the overbought level and there is no contraction in the Bollinger Bands. For short trades, the entry conditions are when the RSI is below the oversold level and there is no contraction in the Bollinger Bands.
The exit conditions for long trades are when the RSI drops below the overbought level or when the price closes below the 50-period MA.
For short trades, the exit conditions are when the RSI goes above the oversold level or when the price closes above the 50-period MA.
The strategy generates alerts for potential long and short entry signals, as well as for exit signals when the specified conditions are met. These alerts can be used to receive notifications or take further actions, such as placing trades manually or using automated trading systems.
It is important to note that this strategy serves as a starting point and should be thoroughly backtested and validated with historical data before applying it to live trading. Additionally, it is recommended to consider risk management techniques, including setting appropriate stop-loss and take-profit levels, to effectively manage trades.
[Saya] VWAP Range Bands VWAP Range Bands is a custom volatility-based indicator that visualizes dynamic support and resistance zones using a volume-weighted average price (VWAP) combined with adaptive deviation bands.
🔍 Features:
• VWAP-based midline for mean reversion insight
• Dynamic upper and lower bands based on average deviation or standard deviation
• Visual highlights when price crosses extreme zones
• Optional deviation count table to monitor how often price breaks out
Great for identifying high-probability reversal or continuation areas in both trending and ranging markets.
Bollinger Bands (Log Scale)📈 Bollinger Bands on log scale are broken.
Many traders use log charts for better price symmetry—but still apply Bollinger Bands calculated on linear price. That mismatch creates distorted signals.
Here’s what I found:
- Standard deviation becomes misleading on log scale
- Band width no longer reflects true volatility
- Breakout signals lose behavioral clarity
🛠 So I rewrote the logic.
My version calculates Bollinger Bands using log(price) for both mean and deviation, then maps the result back to price. It behaves correctly on log charts and aligns better with behavioral scoring.
Team Undergrounds Magic RSI BandsWhat is this indicator?
This indicator shows RSI but visualize as bands with custom timeframe settings. Normal RSI doesn't really visualse well when the price gets overbought/oversold and generally because of candle closes it can be hard to determine if the price has already touched the prefered RSI level. The custom timeframe allows you to go to shorter or longer timeframes on the chart while maintaining the same timeframe on the RSI indicator.
How does it work?
Add this indicator to the chart, and you'll see 2 bands (green and red). By standard settings, the green band shows when price goes below 30 RSI and the red line when price goes above 70 on the RSI. By standard settings the RSI band is set to 7 hour because this tends to work well with Bitcoin and crypto in general, but the timeframe can be changed in the settings. 12hr, 3hr, 3D, 1W are all good timeframes based off personal preference. The overbought/oversold level and RSI length can also be adjusted.
Indicator is not a financial advice tool, and offcourse, data can always change. Past price does not predict future price by defintion.
Foxy's Logarithmic Bollinger BandsThis versatile indicator plots logarithmic Bollinger Bands on any financial asset or timeframe in the TradingView platform. Unlike traditional Bollinger Bands, which use simple arithmetic calculations, Foxy's LBB employs logarithmic scales to better capture and visualize percentage-based price movements.
The core functionality includes:
Basis Line: A central moving average line calculated on the log10 of the selected price source (default is close price). Multiple moving average types are available, including SMA, EMA, RMA, and volume-weighted variants.
Upper/Lower Bands 1: The first set of upper and lower bands, plotted at a user-defined number of standard deviations (default 2.0) above and below the Basis Line.
Upper/Lower Bands 2: A second set of bands plotted at a different standard deviation level (default 3.0) to cater to different volatility preferences.
Offset: An option to vertically offset the plotted lines for better visualization alongside other indicators or studies.
By using a logarithmic scale, Foxy's LBB provides a more accurate representation of percentage-based price changes, making it particularly useful for analyzing and trading volatile assets or markets with significant price swings.
Traders can leverage this indicator for various purposes, such as identifying potential overbought/oversold conditions, gauging volatility levels, and spotting trend continuations or reversals based on the interaction between price and the band levels.
Whether you're a seasoned trader or just starting, Foxy's LBB offers a powerful and flexible tool to enhance your technical analysis and decision-making process in the TradingView environment.
S2BU2 True Range BandsWhat it is:
A twist on the DMI and ATR indicators.
How it is calculated:
What you see is a basic 14-period EMA calculated based on the opening price of the candle.
Extending from this base is the average true range, showing the expected realistic movement in that direction.
How you may interpret what you see:
Extended movement outside of those bands indicates a strong trend and also indicates a bad time to enter. In a sideways market the best time to get in and out is whenever the chart crosses the upper/lower bands. As usual, do not use this indicator alone to determine your entries/exits. If you find a regular behaviour related to this indicator that is not mentioned here feel free to reach out to me. I will consider adding it the list
How you may improve accuracy:
Most obvious - combine with different indicators measuring different things. This indicator measures potential direction. You may combine it with a simple trendindicator, momentum-indicator, etc. There is little use in combining it with another indicator measuring the same thing. When using 2 indicators for the same aspect, pick the one that is more reliable or reacts faster - depending on your preference and strategy.
Another Option to improve accuracy is to overlap the indicator on several timeframes. Dissonance is weakness. Ressonance is strength. if you see many tfs showing the same movement it may be a good time to get in - you will have to judge it yourself though ;)
Price Band LevelsThis indicator allows you to specify a base price. Once set, it automatically draws three price bands above the base and three bands below it, giving you a structured visual range around the selected level.
MTF Bollinger Bands (W/D/4H)MTF Bollinger Bands (W/D/4H)
Always mark the 1W 1D 4H bolinger band regardless of the time frame.
Bull Market Support Bands (20W SMA & 21W EMA)This indicator plots the 20-week Simple Moving Average (SMA) and the 21-week Exponential Moving Average (EMA), together forming the Bull Market Support Bands (BMSB).
Fully compatible with any chart; values are calculated using the weekly timeframe, even if applied on daily charts.
Adjustable band transparency in settings.
Includes optional alerts when EMA crosses above/below SMA.
Dollar Bands [TNI]This script shows divergences bands implemented by Argentine Goverment this year for the Argentine Currency USDARS.
You can change the fix monthly and date/price init, and create upper or lower band cross alerts.
Acceleration BandsPrice Headley\'s Acceleration Bands serve as a trading envelope that factor in a stock\'s typical volatility over standard settings of 20 or 80 bars. They can be used across any time frame, though Headley prefers to use them most across weekly and monthly timeframes as breakout indicators outside these bands, while using the shorter time frames to define likely support and resistance levels at the lower and upper Acceleration Bands. Acceleration Bands are plotted around a simple moving average as the midpoint, and the upper and lower bands are of equal distance from this midpoint.
www.swingtracker.com
forex-indicators.net
Bollinger Bands JDVRX...Bollinger Bands JDVRXBollinger Bands JDVRXBollinger Bands JDVRXBollinger Bands JDVRX
TMA Bands with AlertsTMA Bands with Alerts uses bands to indicate the up and downtrend with alerts to show potential reversals. POAYEE
16H Bollinger BandsThis indicator plots Bollinger Bands based on the 16-hour timeframe, regardless of the chart’s current timeframe.
📌 Features:
Uses a higher-timeframe (16H / 960 minutes) SMA as the basis
Upper and lower bands calculated with standard deviation
Adjustable parameters: length, standard deviation multiplier, and source
Works even when applied on lower timeframes (e.g. 1H, 15m), allowing you to overlay higher-timeframe volatility zones on intraday charts
📌 Use cases:
Identify major support and resistance zones from a higher timeframe
Filter out market noise by relying on broader 16H volatility structure
Combine with lower-timeframe signals for more accurate entries and exits
