Bollinger Bands Trend Model-BuschiEnglish
In general, Bollinger Bands are used as an indicator to visualize the "reversion to the mean". However, in this model, by using smaller variable values (default: 10 time intervals instead of 20, 1 standard deviation instead of 2), they are used as an trend following indicator. Two consecutive closes above the upper band form a buy signal (symbol 'B' above bar) which is reversed by two consecutive closes below the lower band (symbol 'S' under bar) and vice versa. The corresponding buying (green) and selling (red) zones are coloured between the bands.
Deutsch
Im Allgemeinen werden Bollinger-Bänder als ein Indikator verwendet, um die "Rückkehr zum Mittelwert" zu visualisieren. In diesem Modell werden sie durch kleine Variablen-Werte (Standardwert: 10 Zeitintervalle anstatt 20, 1 Standardabweichung anstatt 2) jedoch als Trendfolge-Indikator verwendet. Zwei aufeinanderfolgende Schlusskurse über dem oberen Band (Symbol 'B' über dem Balken) bilden ein Kaufsignal, das durch zwei aufeinanderfolgende Schlusskurse unter dem unteren Band (Symbol 'S' unter Balken) umgekehrt wird. Gleiches gilt umgekehrt. Die entsprechenden Kauf-Zonen (grün) und Verkauf-Zonen (rot) werden zwischen den Bändern eingefärbt.
Tìm kiếm tập lệnh với "bands"
ATR BandsDisplays two bands above and below the source using the ATR. Comes with ATR multipliers for upper and lower bands.
Vervoort Volatility Bands [LazyBear]This is Mr. Vervoort's take on volatility bands. Sticking to his style, he uses highly smoothed data everywhere, also improves on the way the bands are calculated. Is this better than others? I will let you guys decide :)
More info:
www.traders.com
List of my other indicators:
- Chart:
- GDoc: docs.google.com
Adaptive Gap Bands - DolphinTradeBot1️⃣ Overview
Adaptive Gap Bands is a momentum indicator that measures the percentage difference between fast and slow moving averages. This helps identify potential overbought or oversold zones.
The goal is to analyze “gap” behaviors within a trend and generate clearer entry–exit signals.
Since the bands are anchored to the slow moving average, they are more sensitive to the trend direction, making signals stronger in line with the prevailing trend.
📌 Signals do not repaint — once confirmed, they remain fixed on the chart.
2️⃣ How It Works ?
The indicator tracks the distance between fast and slow MAs.
The indicator measures the percentage gap between the fast and slow moving averages, relative to the slow MA.
Each time the gap reaches a new extreme during a swing, that value is stored.
When the averages cross, the stored values from the last N swings (defined by Swing Count) are collected.
These gap values are then averaged to create a smoother and more adaptive reference.
The bands are built by multiplying this average gap with the % Multiplier and projecting it around the slow MA.
3️⃣ How to Use It ?
Add the script to your chart.
Green label → potential Long signal.
Red label → potential Short signal.
Signals often appear when price moves outside the adaptive bands, showing extreme momentum.
Can also be used as a reference tool in manual trades to set profit/loss expectations.
By comparing upward vs. downward gaps, it can help analyze and confirm the dominant trend direction.
4️⃣⚙️ Settings
Swing Count → Number of past swings considered.
% Multiplier → Adjusts band width (narrower or wider).
MA Lengths & Types → Choose fast and slow moving averages (EMA, SMA, RMA, etc.).
Ignition Band Angles are Bollinger Bands with numeric angleI developed Bollinger Bands that provide a numeric value indicating their strength. To achieve this, I used the degree of the angle of attack and color-coded the numbers. The top band displays the number in the upper corner of the chart, the bottom band in the bottom corner, and the Basis is in the left middle. These numbers quantify the slope of the bands, which can be difficult to discern on a chart because stretching out the x and y axis can flatten or exaggerate a slope. With my Bollinger Bands, you get a constant reading that provides an accurate measurement of the angle and strength of a trend. I hope this helps.
350DMA bands + Z-score (V2)This script extends the classic 350-day moving average (350DMA) by building dynamic valuation bands and a Z-Score framework to evaluate how far price deviates from its long-term mean.
Features
350DMA Anchor: Uses the 350-day simple moving average as the baseline reference.
Fixed Multipliers: Key bands plotted at ×0.625, ×1.0, ×1.6, ×2.0, and ×2.5 of the 350DMA — historically significant levels for cycle analysis.
Z-Score Mapping: Price is converted into a Z-Score on a scale from +2 (deep undervaluation) to –2 (extreme overvaluation), using log-space interpolation for accuracy.
Custom Display: HUD panel and on-chart label show the current Z-Score in real time.
Clamp Option: Users can toggle between raw Z values or capped values (±2).
How to Use
Valuation Context: The 350DMA is often considered a “fair value” anchor; large deviations identify cycles of under- or over-valuation.
Z-Score Insight:
Positive Z values suggest favorable accumulation zones where price is below long-term average.
Negative Z values highlight zones of stretched valuation, often associated with distribution or profit-taking.
Strategic Application: This is not a standalone trading system — it works best in confluence with other indicators, cycle models, or macro analysis.
Originality
Unlike a simple DMA overlay, this script:
Provides multiple cycle-based bands derived from the 350DMA.
Applies a logarithmic Z-Score mapping for more precise long-term scaling.
Adds an integrated HUD and labeling system for quick interpretation.
LULD Bands & Trading Halt Detector [Volume Vigilante]📖 LULD Bands & Trading Halt Detector
This advanced tool visualizes official Limit Up / Limit Down (LULD) price bands and detects regulatory trading halts and resumptions based on SEC and NASDAQ rules. It is engineered for high accuracy by anchoring all calculations to the 1-minute timeframe, ensuring reliable signals across any chart resolution.
📌 What Does This Script Do?
- Draws real-time LULD price band estimations and optional buffer (caution) zones directly on the chart.
- Detects trading halt resumptions by monitoring time gaps between candles and other regulatory criteria. (Note: Due to Pine Script limitations, halts cannot be detected in real-time, only resumptions after they occur.)
- Triggers real-time alerts for:
- Trading Resumptions (Limit Up & Limit Down)
- LULD Zone Entries (Caution Zone)
- Band Breaches (Limit Up and Limit Down)
- Plots historical halt resumption markers to analyse past events.
📐 How It Works:
- Implements official SEC/NASDAQ LULD rules for Tier 1 and Tier 2 securities.
- Applies special band adjustments for the final 25 minutes of trading (after 3:35 PM ET).
- Anchors all logic to the 1-minute timeframe for precise calculations, even on higher timeframe charts.
- Includes adjustable volume and volatility filters to eliminate false signals (ghost halts) on low-- liquidity assets, especially Tier 2 securities when TradingView fails to print candles.
⚙️ How to Use It:
1.) Apply the script to any asset or timeframe.
2.) Adjust Volume and Volatility Filters to reduce noise. (Recommended: 500,000+ volume, 10%+ volatility.)
3.) Enable or disable visual components like bands, buffer zones, and halt resumption labels.
4.) Configure alerts directly from the script settings panel.
5.) Apply alerts to individual assets via "Add Alert On..." or to entire watchlists using "Add Alert on the List."
🧩 What Makes This Script Unique?
- True 1-Minute Anchored Calculations: Ensures alerts and visuals match official trading halt criteria regardless of chart timeframe.
- Customisable Buffered Zones: Visualise proximity to regulatory price limits and avoid volatility traps.
- Combines halt resumption detection, limit up/down band visualisation, and real-time alerts into one clean, modular tool.
📚 Disclaimer:
This script is for educational purposes only and does not constitute financial advice. Use at your own discretion and consult a licensed financial advisor before making trading decisions based on it.
Official Resources:
- NASDAQ LULD Regulations (FAQ):
www.nasdaqtrader.com
Current Nasdaq Trading Halts:
www.nasdaqtrader.com
Jurik Bands//A follow up for my JMA script. This script is inspired by (and dedicated to) closure of sales (today, Oct 20 '21) of the famous Jurik Research.
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Jurik Research, the real people who been doing real things by using the real instruments, while many others been reading books "How to become a billionaire in 2 days", watching 5687 hours videos of how to use RSI , and studying+applying machine learning to everything cuz suddenly it became trendy xD
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In my JMA script I've said that JMA takes into account volatility. But how exactly? In fact, it's based on smth called Jurik Bands. Thing is they can be/should be used as an independent instrument. I won't lie, I've developed smth very similar myself for mean-reverting purposes, but we ain't gonna talk about this now (my stuff is much simpler, saying bye-bye to entropy).
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The code is on purpose in Pine4, because lmao I'm not gonna call my stuff "Indicators", they don't "Indicate" anything. And it's on purpose doesn't follow any "coding conventions" made by geeks to make their stuff look more important. My conventions are simple: less code as possible and as simple as possible so we can actually do business based on these instruments.
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Live Long And Prosper
Box-Cox Log BandsExperimental:
Uses the Box-Cox Transformer with a deflection on the inversion to create log bands.
to be used in log scaled charts.
Vortex BandsA slighty modified version of Better Bollinger Bands. The idea of the experiment was to do a thing like the well-known Vortex Indicator, but an overlay:
Obvious trading rules are:
go Long when the blue line is above other two
go Short when the orange line is above other two
stop when price crosses the basis line
The tool is EXPERIMENTAL . Good luck!
Mean Reversion w/ Bollinger BandsThis is a more advanced version of my original mean reversion script.
It employs the famous Bollinger Bands.
This robot will buy when price falls below the lower Bollinger Band, and sell when price moves above the upper Bollinger Band.
I've only tested it on the S&P 500, though you could try it out on other assets to see the backtest performance.
During the recent COVID-19 bear market drop, it produced several buy signals on the S&P which I followed, and made some nice gains so far.
I still think this would make a better investing strategy (buy undervalued / sell over-valued), rather than a trading strategy.
I use this robot for my long term portfolio.
Fractal Regression Bands [DW]This study is an experimental regression curve built around fractal and ATR calculations.
First, Williams Fractals are calculated, and used as anchoring points.
Next, high anchor points are connected to negative sloping lines, and low anchor points to positive sloping lines. The slope is a specified percentage of the current ATR over the sampling period.
The median between the positive and negative sloping lines is then calculated, then the best fit line (linear regression) of the median is calculated to generate the basis line.
Lastly, a Golden Mean ATR is taken of price over the sampling period and multiplied by 1/2, 1, 2, and 3. The results are added and subtracted from the basis line to generate the bands.
Williams Fractals are included in the plots. The color scheme indicated whether each fractal is engulfing or non-engulfing.
Custom bar color scheme is included.
Directional Movement Bands [DW]This is a simple experimental study designed to outline trend activity and volatility.
In this study, the amount of change between current source and source of a specified lookback is calculated, then added to and subtracted from current source.
Next an exponential moving average is taken of the values for smoothing over the specified period.
Lastly, a midline is generated by taking the median of both bands.
ELASTIC WEIGHTED MOVING AVG with STDDEV BANDSImported from Stock & Commodities February 2017 month’s Traders’ Tips issue , from Vitali Apirine’s article in this issue, “Exponential Standard Deviation Bands.” Here, we present the February 2017 Traders’ Tips code with possible implementations in various software.
Opening Candle Zone with ATR Bands by nkChartsThis indicator highlights the opening range of each trading session and projects dynamic ATR-based zones around it.
Key Features
Plots high and low levels of the opening candle for each new daily session.
Extends these levels across the session, providing clear intraday support and resistance zones.
Adds ATR-based offset bands above and below the opening range for volatility-adjusted levels.
Customizable colors, ATR length, and multiplier for flexible use across markets and timeframes.
Adjustable session history limit to control how many past levels remain on the chart.
How to Use:
The opening range high/low often acts as strong intraday support or resistance.
The ATR bands give an adaptive volatility buffer, useful for breakout or mean-reversion strategies.
Works on any market with clear session opens.
This tool is designed for traders who want to combine session-based price action with volatility insights, helping identify potential breakouts, reversals, or consolidation areas throughout the day.
⚠️ Disclaimer: This indicator is for educational purposes only. It does not provide financial advice or guarantee profits. Always perform your own analysis before making trading decisions.
Bollinger Bands SMA 20_2 StrategyMean reversion strategy using Bollinger Bands (20-period SMA with 2.0 standard deviation bands).
Trade Triggers:
🟢 BUY SIGNAL:
When: Price crosses above the lower Bollinger Band
Logic: Price has hit oversold territory and is bouncing back
Action: Places a long position with stop at the lower band
🔴 SELL SIGNAL:
When: Price crosses below the upper Bollinger Band
Logic: Price has hit overbought territory and is pulling back
Action: Places a short position with stop at the upper band
Strategie Bollinger Bands buy & sellMiddle Band (Basis): Calculated using a Simple Moving Average (SMA) over a user-defined period.
Upper Band: The middle band plus the standard deviation of the price multiplied by a user-defined multiplier.
Lower Band: The middle band minus the standard deviation of the price multiplied by the same multiplier.
User Inputs:
Length: The number of periods used for the SMA and standard deviation (default: 20).
Deviation: The multiplier for the standard deviation to calculate the upper and lower bands (default: 2.0).
Buy and Sell Signals:
Buy Signal: Generated when the price crosses above the lower band, indicating a potential oversold condition.
Sell Signal: Generated when the price crosses below the upper band, indicating a potential overbought condition.
Visual Markers:
Buy Signals: Displayed below the price bars as green labels with the text "BUY."
Sell Signals: Displayed above the price bars as red labels with the text "SELL."
The Bollinger Bands (upper, middle, and lower) are plotted directly on the price chart for easy visualization.
How to Use the Script:
Customize Parameters:
Modify the length and deviation inputs to adapt to different market conditions or timeframes.
Interpret Signals:
A BUY signal indicates a possible reversal or upward movement from the lower band.
A SELL signal suggests a potential price decline from the upper band.
Combine with Other Indicators:
While effective in certain conditions, this strategy performs better when combined with other technical tools, such as RSI or MACD, to confirm trends and avoid false signals.
Limitations:
This script assumes that price will revert to the mean, which may not hold during strong trends or highly volatile conditions.
It is not a standalone trading system and should be backtested and optimized before applying to real trading.
Reverse Double Smoothed Relative Strength Index Bands[CC]The Reverse Double Smoothed Relative Strength Index Bands is a custom script of mine that is another part of my RSI indicator series, which I will be publishing over the next week or so. This takes my Double Smoothed Relative Strength Index script and applies the Reverse RSI formula to create a new Bollinger Bands type indicator. This concept can work for almost any oscillator with some slight tweaking. I have a reverse RSI being calculated for each major RSI level to give you an approximation of what the price would look like if that RSI level was hit. Feel free to tweak the RSI levels of course. I will publish more Reverse indicators since that doesn't seem to be a topic that is touched on very frequently. I have color coded the indicator to show darker colors when it is a strong signal and lighter colors for normal signals. Buy when the lines turn green and sell when they turn red.
This was a custom request from @kerpiciwuasile so let me know if you want to see me publish another custom script!
Multi Timeframe 7 Bollinger Bands by CSPMulti Timeframe 7 Bollinger Bands by CSP IT SHOW 1MT,5MT,10MT,1HR,D, W,M BOLLINGER BAND IN ASINGLE CHART.
Bollinger Bands Volatility Arrows
Explanation of Changes:
Arrow Style:
Green Up Arrow (▲): Indicates increasing volatility with a positive value.
Red Down Arrow (▼): Indicates decreasing volatility with a negative value.
Labels with Arrows:
label.new is used to create arrows with the label.style_label_up or label.style_label_down styles.
The numerical value of the volatility is displayed beside the arrow using str.tostring.
Label Position:
For increasing volatility, the green arrow is placed near the high of the candle.
For decreasing volatility, the red arrow is placed near the low of the candle.
Text Format:
Includes the arrow symbol and the volatility value (formatted to 4 decimal places).
How It Works:
You’ll see green upward arrows for increasing volatility and red downward arrows for decreasing volatility.
Each arrow includes the exact value of the Bollinger Bands width at that moment.
Multiple Moving Averages, Bollinger Bands, VWAP Options - Lett5 simple moving averages.
You decide:
1. The type of moving average
2. The length of the moving average
3. To show Bollinger Bands
4. To show VWAP.
