Rumpy's Volume Weighted Bollinger Bands % (B%)Bollinger Band % constructed using a volume weighted EMA as the basis and a volume weighted standard deviation to calculate the bands.
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Log Bollinger Bands %BB Oscillator [Krypt]This indicator is almost identical to "Bollinger Bands %BB" except its calculations are performed in logspace and it adds an optional EMA line (after LazyBear's idea).
VDUB BB %B REVERSAL_v4.2 revised by JustUncleLThis is an revised Open Public version of Vdub Bollinger Band %B reversal indicator. This version includes optional Divergence Finder with selectable channel width, optional Market Session time highlighting and optional Binary Option expiry markers.
Bollinger Bands Pro+Bollinger Bands Pro+
— A Dynamic and Trend-Aware Volatility Indicator
Description:
The Bollinger Bands Pro+ indicator is a powerful and enhanced version of the traditional Bollinger Bands, designed to provide deeper insights into market volatility, trend momentum, and breakout potential. Combining standard Bollinger Band analysis with dynamic features such as band width analysis, squeeze detection, and trend-based coloring, this indicator allows traders to better identify key market conditions for strategic entry and exit points.
Key Features:
Dynamic Band Width Analysis:
The Band Width is calculated as the difference between the upper and lower Bollinger Bands. This metric helps measure market volatility.
When the band width narrows, it suggests a period of low volatility (often called a squeeze), signaling potential breakout conditions. Conversely, when the band width expands, it indicates higher volatility, which can indicate trending markets or price reversals.
Bollinger Band %B:
%B indicates the relative position of the current price within the Bollinger Bands. Values range from 0 (at the lower band) to 1 (at the upper band).
This metric is invaluable for confirming overbought or oversold conditions. A %B close to 0 suggests the price is near the lower band (oversold), while a %B close to 1 suggests it’s near the upper band (overbought).
Band Squeeze Detection:
The Squeeze Alert feature is designed to highlight periods of low volatility when the band width is contracting below a user-defined threshold. This contraction often precedes major price moves, as the market “builds up pressure” before a potential breakout.
The squeeze is visualized by a small triangle on the chart, alerting traders to prepare for potential explosive price action.
Trend-Based Band Coloring:
The bands' colors dynamically change based on market momentum, as indicated by RSI (Relative Strength Index).
When RSI > 55, the trend is considered bullish, and the bands turn green to visually indicate a bullish momentum.
When RSI < 45, the trend is considered bearish, and the bands turn red to reflect a bearish market.
If RSI is in a neutral zone, the bands are colored gray, signaling market indecision or a ranging market.
This coloring feature adds an extra layer of insight into the overall market condition and helps traders quickly assess the trend direction.
Breakout Signals:
Breakout Alerts are plotted when the price breaks through the upper or lower Bollinger Band, signaling a possible continuation or reversal.
An upward breakout (price crossing above the upper band) is plotted with a green label, suggesting bullish momentum, while a downward breakout (price crossing below the lower band) is plotted with a red label, suggesting bearish momentum.
Color Zone Highlighting:
The Color Zone Highlighting feature visually emphasizes periods when the price is either above or below the basis (middle band).
Green highlights indicate price is above the basis, which generally suggests bullish conditions.
Red highlights show when the price is below the basis, which generally indicates bearish conditions.
This visual cue helps traders quickly assess market sentiment and price positioning relative to the moving average.
How to Use:
Trend Identification: Use the dynamic band coloring (based on RSI) to quickly spot if the market is in a bullish or bearish trend.
Volatility Assessment : Monitor the band width to gauge market volatility. A narrow band width suggests a potential squeeze, while an expanded band width indicates higher volatility and possible trending conditions.
Breakout Strategy : Watch for price breakouts above or below the Bollinger Bands as potential signals to enter or exit trades.
Squeeze Alert : Pay attention to the Squeeze Alert as a preparation signal for possible breakout opportunities. A squeeze often precedes significant price movements.
Best Time to Use:
Trending Markets: The indicator excels in trending markets, with band width and RSI-based coloring helping you identify strong trends early.
Breakout Trading : Use the Squeeze Alert and Breakout Signals to catch volatility-driven price moves.
Range Bound Markets : In a ranging market, the %B and band coloring can provide a sense of when price is reaching extreme levels (overbought or oversold) and may reverse.
Conclusion:
The Bollinger Bands Pro+ indicator offers a sophisticated, multi-faceted approach to Bollinger Bands analysis, ideal for traders looking to go beyond the basics. By incorporating volatility analysis, squeeze detection, trend-following mechanisms, and breakout signals, it provides a comprehensive toolset for navigating the markets and making informed trading decisions.
SOLANA Performance & Volatility Analysis BB%Overview:
The script provides an in-depth analysis of Solana's performance and volatility. It showcases Solana's price, its inverse relationship, its own volatility, and even juxtaposes it against Bitcoin's 24-hour historical volatility. All of these are presented using the Bollinger Bands Percentage (BB%) methodology to normalise the price and volatility values between 0 and 1.
Key Components:
Inputs:
SOLANA PRICE (SOLUSD): The price of Solana.
SOLANA INVERSE (SOLUSDT.3S): The inverse of Solana's price.
SOLANA VOLATILITY (SOLUSDSHORTS): Volatility for Solana.
BITCOIN 24 HOUR HISTORICAL VOLATILITY (BVOL24H): Bitcoin's volatility over the past 24 hours.
BB Calculations:
The script uses the Bollinger Bands methodology to calculate the mean (SMA) and the standard deviation of the prices and volatilities over a certain period (default is 20 periods). The calculated upper and lower bands help in normalising the values to the range of 0 to 1.
Normalised Metrics Plotting:
For better visualisation and comparative analysis, the normalised values for:
Solana Price
Solana Inverse
Solana Volatility
Bitcoin 24hr Volatility
are plotted with steplines.
Band Plotting:
Bands are plotted at 20%, 40%, 60%, and 80% levels to serve as reference points. The area between the 40% and 60% bands is shaded to highlight the median region.
Colour Coding:
Different colours are used for easy differentiation:
Solana Price: Blue
Solana Inverse: Red
Solana Volatility: Green
Bitcoin 24hr Volatility: White
Licence & Creator:
The script adheres to the Mozilla Public Licence 2.0 and is credited to the author, "Volatility_Vibes".
Works well with Breaks and Retests with Volatility Stop
BBWAS Enhanced with Webhook Alerts and Money ManagementThe Enhanced BBWAS Indicator is a powerful tool designed to identify breakouts in the price of a security or asset. It utilizes Bollinger Bands, which consist of three lines: the upper band, the lower band, and the middle band (or basis). These bands help define the expected price range within which the asset is likely to fluctuate.
When the price breaks above the upper band or below the lower band, it indicates a potential breakout. A bullish breakout occurs when the price closes above the upper band, while a bearish breakout occurs when the price closes below the lower band.
In this enhanced version of the indicator, several new features have been added to provide more flexibility and functionality:
Webhook Alerts: Traders now have the ability to configure webhook alerts to trigger a bot or any external system. This allows for timely notifications when a breakout occurs, enabling automated actions or manual intervention as desired.
Multiple Moving Average Types: The indicator now supports different types of moving averages for increased customization. Traders can choose from popular moving average types such as Simple Moving Average (SMA), Exponential Moving Average (EMA) and Weighted Moving Average (WMA). This enables users to experiment and find the moving average type that best suits their trading strategy.
Money Management: To assist traders in managing risk, a money management feature has been incorporated into the indicator. It calculates the optimal position size or number of units to purchase for each trade, considering the desired risk per trade. By specifying a maximum risk per trade, traders can ensure that their position sizes are adjusted accordingly, helping to maintain risk control in their trading activities.
Dear traders, while we strive to provide you with the best trading tools and resources, we want to remind you to exercise caution and diligence in your investing decisions.
It is important to always do your own research and analysis before making any trades. Remember, the responsibility for your investments ultimately lies with you.
Happy trading!
Fibonacci Volatility BandsFibonacci Volatility Bands are just an alternative that allows for more margin than regular Bollinger Bands. They are created based on an average of moving averages that use the Fibonacci sequence as lookback periods.
The use of the Fibonacci Volatility Bands is exactly the same as the Bollinger Bands.
Generalized Bollinger Bands (Tartigradia)Bollinger Band is simply a representation of the rolling average of price and its standard deviation around the average (called the "basis").
This indicator generalizes the Bollinger Band by implementing many different equations to calculate the Bollinger Bands beyond the standard deviation and sma.
Whereas other Bollinger Bands indicators often just change the basis but not the stdev calculation, the correct way to change the basis is to also change it inside the stdev calculation.
Advanced features such as temporal discounting (ie, newer bars can have more weights), median absolute deviation and multiple sigma bands (eg, 3-sigma) are available.
Up to 3 different Bollinger Bands can be displayed, and the background can be highlighted when price is overbought/oversold (beyond the Bollinger Band of choice).
Tip: BB3, which is the bollinger band with standard deviation of 3, which represents 99% of observed values in the lookback period, is a good choice to highlight overbought/oversold conditions.
Usage:
Use it as usual Bollinger Bands, as a measure of volatility, and to setup stop losses.
Use the bandwidth as a measure of volatility: higher is more volatile, lower is less.
When overbought, it can be a good time to sell/short. Use a higher Bollinger Band Multiplier such as 3 or more to reduce false positives.
When oversold, it can be a good time to buy/long. Use a higher Bollinger Band Multiplier such as 3 or more to reduce false positives.
Consider setting a much tighter lookback period of 4 as recommended in backtested works (en.wikipedia.org), use zlma instead of sma, and finally set a higher timeframe for the Bollinger Bands than the one you are currently studying. Then, the Bollinger Bands can help in detecting overbought and oversold regions (price going "out of bands").
Note that I tried to automate the setting of a higher timeframe, but for some reason the output is different when I manually do it using request.security() than when it's in indicator(timeframe=""). If someone has any suggestion as to why it happens, please let me know! (You can try it for yourself by uncommenting the auto_timeframe parameter line).
If you want to plot the indicator in a separate pane, and to also plot %B and bandwidth, I made another indicator "Generalized Bollinger Bands %B and Bandwidth by Tartigradia" that does that.
double Bollinger BandsThis Bollinger Band indicator is a technical analysis tool defined by a set of trendlines plotted Four standard deviations (two positively and two negatively) away from a simple moving average (SMA) of a security's price, but which can be adjusted to user preference.
Short in Bollinger Band Down trend (Weekly and Daily) // © PlanTradePlanMM
// 6/14/2020
// ---------------------------------------------------
// Name: Short in Bollinger Band Down trend (Weekly and Daily)
// ---------------------------------------------------
// Key Points in this study:
// 1. Short in BB Lower band, probability of price going down is more than 50%
// 2. Short at the top 1/4 of Lower band (EMA - Lower line), Stop is EMA, tartget is Lower line; it matches risk:/reward=1:3 naturally
//
// Draw Lines:
// BB Lower : is the Target (Black line)
// BB EMA : is the initial Stop (Black line)
// ShortLine : EMA - 1/4 of (Stop-target), which matches risk:/reward=1:3
// Prepare Zone : between EMA and ShortLine
// shortPrice : Blue dot line only showing when has Short position, Which shows entry price.
// StopPrice : Black dot line only showing when has Short position, Which shows updated stop price.
//
// Add SMA50 to filter the trend. Price <= SMA, allow to short
//
// What (Condition): in BB down trend band
// When (Price action): Price cross below ShortLine;
// How (Trading Plan): Short at ShortLine;
// Initial Stop is EMA;
// Initial Target is BB Lower Line;
// FollowUp: if price moves down first, and EMA is below Short Price. Move stop to EMA, At least "make even" in this trade;
// if Price touched Short Line again and goes down, new EMA will be the updated stop
//
// Exit: 1. Initial stop -- "Stop" when down first, Close above stop
// 2. Target reached -- "TR" when down quickly, Target reached
// 3. make even -- "ME" when small down and up, Exit at Entry Price
// 4. Small Winner -- "SM" when EMA below Entry price, Exit when Close above EMA
//
// --------------
// Because there are too many flags in up trend study already, I created this down trend script separately.
// Uptrend study is good for SPY, QQQ, and strong stocks.
// Downtrend Study is good for weak ETF, stock, and (-2x, -3x) ETFs, such as FAZ, UVXY, USO, XOP, AAL, CCL
// -----------------------------------------------------------------------------------------------------------------
// Back test Weekly and daily chart for SPY, QQQ, XOP, AAL, BA, MMM, FAZ, UVXY
// The best sample is FAZ Weekly chart.
// When SPY and QQQ are good in long term up trend, these (-2x, -3x) ETFs are always going down in long term.
// Some of them are not allowed to short. I used option Put/Put spread for the short entry.
//
Buy in Bollinger Band uptrend (Weekly and Daily) // © PlanTradePlanMM 6/14/2020
// ---------------------------------------------------
// Name: Buy in Bollinger Band uptrend (Weekly and Daily)
// ---------------------------------------------------
// Key Points in this study:
// 1. Long in BB Upper band, probability of price going up is more than 50%
// 2. Buy at the bottom 1/4 of upper band (Upper line - EMA), Stop is EMA, tartget is Upper line; it matches risk:reward=1:3;
//
// Draw Lines:
// BB Upper : is the Target (Black line)
// BB EMA : is the initial Stop (Black line)
// BuyLine : EMA20 + 1/4 of (Target-Stop), which matches risk:/reward=1:3 naturally
// Prepare Zone : between EMA and BuyLine
// buyPrice : Blue dot line only showing when has long position, Which shows entry price.
// StopPrice : Black dot line only showing when has long position, Which shows updated stop price.
//
// Add SMA(50) to filter the trend. Price >= SMA, allow to long
//
// What (Condition): in BB uptrend band
// When (Price action): Price cross over BuyLine;
// How (Trading Plan): Buy at BuyLine;
// Initial Stop is EMA;
// Initial Target is BB Upper Line;
//
// FollowUp: if price moves up first, and the EMA is higher than Entry point, Use EMA as new stop. At least "make even" in this trade;
//
// Exit: 1. Initial stop -- "Stop" when down first, close below stop price.
// 2. Target reached -- "TR" when up quickly, Target reached
// 3. make even -- "ME" when small up and down, Exit at entry Price
// 4. Small Winner -- "SM" when EMA above Entry price, Exit when close below EMA, and higher than entry Price
//
// --------------
// Because there are too many flags in up trend study already, I will create a down trend script separately.
// Uptrend study is good for SPY, QQQ, and strong stocks.
// Downtrend Study is good for weak ETF, stock, and (-2x, -3x) ETFs, such as FAZ, UVXY, USO, XOP, AAL, CCL
// -----------------------------------------------------------------------------------------------------------------
// Back test Weekly and daily chart for SPY, QQQ
// If it will be a big Gap down or a big down move, stop at close price could be a big loss; But this way could avoid may noise, to stay in a trending position longer.
// When buy in trending move, the position could be hold for a big range.
// The best samples are SPY and QQQ daily chart.
//
// Better to use another way to verify the long term up trend first.
// For single stock, it is better shows more relative strength than SPY.
Bollinger Bands Strategy - CohenIndicator based on the “Prince of NY” strategy developed by Rodrigo Cohen .
It consists in the use of Bollinger Bands, combined with a coloring rule to indicate places of purchase and sale.
An entry signal is given when a candle close outside the band, where, if the next one closes inside, there is the entrance, looking for the MA or the other band.
Red candle - indicates a sell signal.
Green candle - indicates a buy signal.
Double Bollinger Bands StrategyThe Strategy involves two Bollinger Bands (BB) at a go.
One with Divergence of 1 and another 2.
Strategy:
When the price rides above the inner BB, buy, check if it rides above the second BB. Exit when price falls inside the Outer BB and enters the Inner BB.
When the price rides below the inner BB, buy, check if it rides below the second BB. Exit when price rises inside the Outer BB and enters the Inner BB.
BBPivotIt can helps you to see BB pivots . It's based on bollinger bands .
Best Settings: (20,3) - (50,2)
Cheers :)
MTF Bollinger Bands - ModifiedModified version of tansancrypto's MTF Bollinger to Pinescript 4 and removed limiters on BB1/BB2 max Sigma values.
Original Script:
Bollinger bands/Lagging span crossHello my dear ambitious traders
I'm working hard this week to publish some great indicators this week and open sourced. Hope you'll enjoy, learn and use them.
This will be my greatest reward but comments showing appreciation are also very welcomed (actually likes too) :)
For today, I'll share a simple indicator but it's coming along with some insightful knowledge ^^
Anyway, I'm not here to ask you to this but to share a very cool indicator I made a few months ago and wanted to share for FREE with the community today
The indicator is related to this educational post : What-a-Bollinger-Bands-Lagging-span-cross-can-tell-us/
This trading technique was invented by Robbytrade, a famous french trader twitter.com
I wanted to have those visual signals on the chart so I coded it.
The advantage of being a developer is that you can litteraly code what you miss and get your life better in the process. The one that will find a way to code a new form of money will be rich... wait.... that guy is called Satoshi Nakamoto...
That's all for me today my friends
PS
Trying to update the Trade Manager shared yesterday with some cool features. More to come in the upcoming days
Enjoy
Dave
BB - Study - CryptoFoudid.comHi everyone,
A new script transformed on a study from QuantNomad.
Based on the Bollinger Bands to catch the range market.
I filtered the consecutive signals to avoid a "funding" issue.
You can configure it as you want based on inputs.
The best way for crypto is to have about 45 to 55 length and 2 to 3.5 in multiplier but it's your choice :)
ENJOY !
Megalodon Pro Bollinger Band CalculatorHow to use?
It ranges between 0-100. 0 is oversold, 100 is overbought.
It could be a really beneficial tool for timing your day trades in lower time frames.
It is designed for 1 minutes - 15 minutes - 30 minutes - 60 minutes - 240 minutes - 1 Day time frames.
Bollinger Bands Trading SignalsFeatures:
Trading signals based on Bollinger Bands trading strategy.
Powerful filter algorithm helps you avoid counter trade in trending market.
Getting Started:
Replace your Bollinger Bands indicator with this one.
You can see the trading signals and bands at the same time.
Contributing:
You can report bugs or issues under this page.
Any advice would be helpful for improving this indicator's accuracy.
Application:
This is an invite-only indicator.
BB Filtered AlertsBollinger Band signals filtered with dual RSIs and EMA.
EMA confirms trend.
Signals above EMA are filtered with "Uptrend RSI" filter
Signals below EMA are filtered with "Downtrend RSI" filter
There is no "one size fits all" setting. Settings are very period and name specific, depending on ATR.
EMA Bollinger Bands w/ Breakout Signals (EMA BBs)EMA Bollinger Bands with Signals When Price Exits Either Top or Bottom Bollinger Bands (Marked with either Red or Blue Triangles) (EMA BBs)
EMA BBs work even better for day trading and scalping!
These are Multi Bands,
P.S. Sorry Chart Pictured is a mess Ichimoku Cloud is Turned On
This indicator is Bollinger Bands Only w/ Signals of price exiting of bands
BB and Keltner SqueezeStrategy using the Bollinger band with the Keltner Channels . Watch for the Bollinger bands (blue/red lines) squeezing inside the Keltner Channels (pink dots) for a breakout - this could be up or down so use in conjunction with other indicators.
The blue band is the 2 standard deviation from price, the red is 3 standard deviations. With these, typically if the price bounces off the red then it will retrace a little, (although if there is a massive breakout/down this may not hold). When the bands narrow this is an indicator of consolidation, therefore with a likely upcoming breakup or down.
The pink dots are the Keltner Channels. The strategy says if the bollinger bands come inside the Keltner Channels then this is a strong indicator that the breakout is coming. Sometimes the length of time the squeeze occurs for is indicative of the length/strength of the breakout.
These indicators can be used on all timeframes but higher timeframes will be stronger and more reliable of a trend change.
BB and KeltnerStrategy using the Bollinger band with the Keltner Channels. Watch for the Bollinger bands (blue/red lines) squeezing inside the Keltner Channels (pink dots) for a breakout - this could be up or down so use in conjunction with other indicators.
