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[JR] Multi Bollinger Heat Bands - EMA/Breakout optionsA little, yet hopefully useful update over my previous "Multi Bollinger Heat Bands". For those who like quick visual cue's. In short: It's your Basic Bollinger Bands, but 3 of them, and some pointy things. In full: Three stacked SMA based Bollinger Bands designed just to give you a quick visual on the "heat" of movement. Set inner band as you would expect, then set your preferred additional multiplier increments for the outer 2 bands. Option to use EMA as alternative basis, rather than SMA. Breakout indication shapes, which have their own multiplier (but still tied to same length/period as the BB's) so you can make them pop on their own separate "band".
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JayRogers tarafından
11
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.).
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DolphinTradeBot tarafından
Ehlers Adaptive Bandpass Filter [CC]The Adaptive Bandpass Filter was created by John Ehlers (Cycle Analytics For Traders pgs 153-156) and this uses his autocorrelation code to provide the adaptive lengths to use for the underlying bandpass filter. The bandpass filter is a common way in digital signal processing to filter out the underlying noise in the data. It can actually be turned into a leading indicator by changing the bw variable to a smaller amount. Since this indicator is adaptive using the cycle period, the buy and sell signals are different compared to the normal bandpass filter. Buy signals for this indicator according to Ehlers are when the line is red and the line is under the oversold line (also red) then you buy when the indicator line turns green and then you exit when the indicator line turns red and is above the overbought line. This indicator doesn't provide clear buy and sell signals in all circumstances but generally speaking buy when the indicator line turns green and sell when it turns red. Feel free to experiment with this one. Let me know if there are any other scripts you would like to see me publish!
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cheatcountry tarafından
4
Truncated Bandpass Filter and Bandpass Filter - Dr. John EhlersWith the arrival of the blessed gifts of arrays from TV, I now present the REAL "Truncated Bandpass Filter" indicator employing PSv4.0 upon initial release, originally formulated by the magnificent mathemagician Dr. John Ehlers for TASC - July 2020 Traders Tips. Don't be bamboozled by the other incorrect truncated bandpass filters found on TV, those published with an erroneous haste that preceded Pine array availability. More information about these bandpass filters can be acquired with a simple search for this indicator's white paper, entitled "TRUNCATED INDICATORS by John F. Ehlers", on his site in the educational reference section. This actually contains two indicators, one being the truncated bandpass, the other being a two pole bandpass which is also found in my Voss implementation. The two pole bandpass is primarily for comparison of both types, but as you can see, they share common code within both, one being truncated and the other not. I modified Ehlers' original truncation formulation by allowing the capability to alter the truncation period using two distinct methods. I will explain very briefly that the purpose of a truncated "infinite impulse response" filter is to dampen it's response. Truncation techniques aren't limited to only bandpass filters, "some" other IIR filters, but not all, may benefit from this as well. Lastly this is a miniature starter lesson by example of how the new native Pine array functions may be used, along with other various methods such as `var` to improve computational efficiency on the cloud servers. Yep, native Pine arrays just doubled the "Power of Pine" by exponential magnitudes of power into the dimension of what I would now term as the "Immense Power of Pine" . The next generation capability of programming extremely advanced indicators has now successfully arrived on mothership Earth, right on TradingView's front lawn. Who would of known?? This is brought to you in part by the devoted voluntary efforts of the most skilled poetic programmers on TV, the likes of which most extraterrestrial alien programmers would fear. Ladies and Gents, YOU KNOW WHO YOU ARE. Wink, wink! NOTICE: You have absolute freedom to use this source code any way you see fit within your new Pine projects. You don't have to ask for my permission to reuse these functions in your published scripts, simply because I have better things to do than answer requests for the reuse of the tbpf() and bpf() functions. Sufficient accreditation regarding this script and compliance with "TV's House Rules" regarding code reuse, is as easy as copying the functions in their entirety as is. Fair enough? Good! Features List Includes: Dark Background - Easily disabled in indicator Settings->Style for "Light" charts or with Pine commenting AND a few more... Why list them, when you have the source code to explore! When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members, I may implement more ideas when they present themselves as worthy additions. Have a profitable future everyone!
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ImmortalFreedom tarafından
7
Indicators: Hurst Bands and Hurst OscillatorThese 2 indicators are derivative work from Jim Hurst's book - "The Magic of Stock Transaction Timing". The bands are % bands around a median that gets calculated according to Hurst's formula. The outer bands (called ExtremeBands) signify extreme overbought/oversold conditions. Inner bands signify potential pullback points. As you can see, they also act as dynamic S/R levels. The oscillator bands match the bands overlaid on price, so you will get an excellent indication of where the price is gonna do by using the oscillator along with the bands. Note that Hurst Oscillator can be used separately too, there is no technical dependency on Hurst Bands. More info on Hurst Method: www.readtheticker.com
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LazyBear tarafından
37
Ultimate Bands [BigBeluga]Ultimate Bands The Ultimate Bands indicator is an advanced technical analysis tool that combines elements of volatility bands, oscillators, and trend analysis. It provides traders with a comprehensive view of market conditions, including trend direction, momentum, and potential reversal points. 🔵 KEY FEATURES ● Ultimate Bands Consists of an upper band, lower band, and a smooth middle line Based on John Ehler's SuperSmoother algorithm for reduced lag Bands are calculated using Root Mean Square Deviation (RMSD) for adaptive volatility measurement Helps identify potential support and resistance levels ● Ultimate Oscillator Derived from the price position relative to the Ultimate Bands Oscillates between overbought and oversold levels Provides insights into potential reversals and trend strength ● Trend Signal Line Based on a Hull Moving Average (HMA) of the Ultimate Oscillator Helps identify the overall trend direction Color-coded for easy trend interpretation ● Heatmap Visualization Displays the current state of the oscillator and trend signal Provides an intuitive visual representation of market conditions Shows overbought/oversold status and trend direction at a glance ● Breakout Signals Optional feature to detect and display breakouts beyond the Ultimate Bands Helps identify potential trend reversals or continuations Visualized with arrows on the chart and color-coded candles 🔵 HOW TO USE ● Trend Identification Use the color and position of the Trend Signal Line to determine the overall market trend Refer to the heatmap for a quick visual confirmation of trend direction ● Entry Signals Look for price touches or breaks of the Ultimate Bands for potential entry points Use oscillator extremes in conjunction with band touches for stronger signals Consider breakout signals (if enabled) for trend-following entries ● Exit Signals Use opposite band touches or breakouts as potential exit points Monitor the oscillator for divergences or extreme readings as exit signals ● Overbought/Oversold Analysis Use the Ultimate Oscillator and heatmap to identify overbought/oversold conditions Look for potential reversals when the oscillator reaches extreme levels ● Confirmation Combine Ultimate Bands, Oscillator, and Trend Signal for stronger trade confirmation Use the heatmap for quick visual confirmation of market conditions 🔵 CUSTOMIZATION The Ultimate Bands indicator offers several customization options: Adjust the main calculation length for bands and oscillator Modify the number of standard deviations for band calculation Change the signal line length for trend analysis Toggle the display of breakout signals and candle coloring By fine-tuning these settings, traders can adapt the Ultimate Bands indicator to various market conditions and personal trading strategies. The Ultimate Bands indicator provides a multi-faceted approach to market analysis, combining volatility-based bands, oscillator analysis, and trend identification in one comprehensive tool. Its adaptive nature and visual cues make it suitable for both novice and experienced traders across various timeframes and markets. The integration of multiple analytical elements offers traders a rich set of data points to inform their trading decisions.
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BigBeluga tarafından
6
Fibonacci HH LL TRAMA BandLuxAlgo's Trend Moving Adaptive Moving Average was used as a reference to create bands by reading the highest and lowest prices of past bars based on Fibonacci numbers and then multiplying them by the Fibonacci ratio. LuxAlgo/ LuxAlgo/ In particular, the so-called TRAMA is characterized by its adaptation to the average of the highest and lowest prices over a specific period of time and is used to identify support/resistance. In order to apply this feature to the maximum extent possible, I used the high or low prices as the source of input, rather than the closing price. For example, src = high not original like src = close In addition, I created 6 levels by multiplying the Fibonacci ratio //Midline mah = ama1 mal = ama2 m = (mah + mal)/2 //Half Mean Range dist = (mah - mal)/2 //Levels h6 = m + dist * 11.089 h5 = m + dist * 6.857 h4 = m + dist * 4.235 h3 = m + dist * 2.618 h2 = m + dist * 1.618 h1 = m + dist * 0.618 l1 = m - dist * 0.618 l2 = m - dist * 1.618 l3 = m - dist * 2.618 l4 = m - dist * 4.235 l5 = m - dist * 6.857 l6 = m - dist * 11.089 If you want to use it for scalping, such as 15 minutes, you can include Fibonacci numbers such as 21,34,55 for a quick reaction type to detect the trend. Also, by including Fibonacci numbers such as 89,144,233, you can see where you stand in the larger trend. Some examples are included below. For Investors BTCUSDT 1day Chart Fibonacci number "55" For Daytraders BTCUSDT 4hour Chart Fibonacci number "34" For Scalpers BTCUSDT 15min Chart Fibonacci number "55" BTCUSDT 15min Chart Fibonacci number "89" BTCUSDT 15min Chart Fibonacci number "233" Fibonacci numbers are 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, etc., Fibonacci ratios are 0.618, 1.618, 2.618, 4.236, 6.854, 11.089, etc.,
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FibonacciFlux tarafından
Bollinger Bands and SMA Channel Buy and Sell This Indicator is a combination of a standard BB indicator incorporated with a SSL Channel by ErwinBeckers which is Simple Moving average with a length of set at 10 (Default) and calculates the high and low set for the default 10 to form a Channel. The Settings for the Bollinger Band is the standard settings on a normal Bollinger Band - Length 20, source close and Standard dev 2 The setting for the SMA is length 10 and the high and low calculated or that length to form a channel. The SMA Channel gives a green line for the Up channel and the Red line for the down Channel. The basis of the indicator is that the Candle close above the Basis line of the BB and the SMA green line will give a buy indicator and the same for Sell indicator the candle close below the basis BB and the SMA line Red will give a Sell indicator. Please note that this indicator is a mix of 2 basic indicators found in Trading view, giving Buy and Sell indicators to make things easier to not look for this visually. This code will be open source for anyone to use or back test or use it for whatever they want. This code is for my own personal trading and cannot be relied upon. This indicator cannot be used and cannot guarantee anything, and caution should always be taken when trading. Use this with other indicators to give certanty. Again use this for Paper Trading only. I want to thank TradingView for its platform that facilitates development and learning.
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ivandra447 tarafından
1
Ehlers Cycle BandPass Filter [CC]The Cycle BandPass Filter was created by John Ehlers (Cycle Modes and Trend Modes) and this is an alternate to the default BandPass Filter by changing some settings. This will be another series I will be introducing showing some indicators created by Ehlers and that didn't get much attention. This identifies the underlying cycle in the price data and these indicators aren't very common so I want to introduce more of these to tv. Buying and selling with these indicators can be a bit tricky but overall what Ehlers recommends is to buy at the lowest point and sell at the highest point to capture the underlying cycle. I have included strong buy and sell signals as darker colors and normal signals as lighter colors. Buy when the line turns green and sell when it turns red. Let me know if there are any other scripts you would like to see me publish!
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cheatcountry tarafından
2
Acceleration BandsAcceleration Bands Description: Acceleration Bands serve as a trading envelope that factor in an assets typical volatility over standard settings of 20 or 80 bars. They can be used across any time period, though traders prefer to use them most across weekly and monthly timeframes as breakout indicators outside these bands. Using the shorter time frames can define likely support and resistance levels at the lower and upper Acceleration Bands. Entry is usually made at the breakout point. Once the price closes back within the Acceleration Bands, this is taken as a signal that the acceleration period is over and it’s best to close out the trade.
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capissimo tarafından
Exponential Deviation Bands Width [ChuckBanger]This indicator is a compliment to Exponential Deviation Bands . It is the difference between the upper and the lower bands divided by the middle band. It is an easy way to visualize consolidation before price movements or periods of higher volatility. How it works During a period of high volatility, the distance between the two bands will widen and Exponential Deviation Bands width will increase. And the opposite occurs during a period of low volatility, the distance between the two bands will contract and Exponential Deviation Bands width will decrease. Meaning there is a tendency for bands to alternate between expansion and contraction. When the bands are relatively far apart, that is often is a sign that the current trend is ending. When the distance between the two bands is relatively narrow that often is a sign that the market is about to initiate a bigger move in either direction.
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ChuckBanger tarafından
Volatility Bands by DGTVolatility represents how large an asset's prices swing around the mean price, the degree of variation of a trading price over time, and is commonly measured with beta (β) coefficients, standard deviations (σ) of returns where tools such as Average True Range, Bollinger Bands, Keltner Channel, Squeeze Indicator, etc presents volatility concept Volatility often refers to the amount of uncertainty or risk related to the size of changes in a security's value. The higher the volatility, the riskier the security - the price of the security can change dramatically over a short time period in either direction. A lower volatility - security's value does not fluctuate dramatically, and tends to be more steady This study, Volatility Bands , attempts to present a way to measure and visualize volatility , using standard deviations (σ) and average true range indicator, and aims to point out areas that might indicate potential trading opportunities I will try to explain the usage with examples, same setup with different option selected as you may observe from the examples different setting may have advantages and disadvantages over one another, it is recommended to verify a trading setup with different available options. Additionally, It is recommended to use this indicator in conjunction with other technical indicators, or verify using chart/candle patterns. Below is an usage example using in conjunction with other indicator, in the given example “Neglected Volume by DGT” is selected Similarities and Differences Bollinger Bands depicts two standard deviations above and below a simple moving average, and Keltner Channel depicts two times average true range (ATR) above and below an exponential moving average Volatility Bands study combines the approach of both Bollinger Bands and Keltner Channel, with different settings and different visualization Default settings are one standard deviations and one time average true range (ATR) above and below 13 period exponential moving average. Setting can be adjusted by users but let me remind all testes are performed with the default settings. Mathematically expressed as Upper band area between “ema + stdev” and “ema + atr” Lower band area between “ema – stdev” and “ema – atr” A different display is added with the inspiration I get from one of the @quantgym ‘s study, many thanks @quantgym 😉 When difference band display is selected the study will reflect the area between “ema + stdev – atr” and “ema – stdev + atr”. As shown in the examples above Note: standard deviation calculation can be adjusted based on price action or its moving average. Other differentiation between BB and KC is with V-BANDS mostly we look for trade opportunities when price action move out of the bands and in most cases we assume market is consolidating when the price action is within the bands The other indicator that presents similarities to Volatility Bands is Squeeze Indicator, which measures the relationship between Bollinger Bands and Keltner's Channels to help identify consolidations and signal when prices are likely to break out. Mainly Volatility Bands is different version of Squeeze indicator, in fact the purpose is almost same but visualization is completely different. Additionally Volatility Bands Offers trading opportunities whereas Squeeze indicator only presents market states unless a momentum indicator is adapted to Squeeze indicator. Disclaimer: Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
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dgtrd tarafından
23
Ehlers Truncated BandPass Filter [CC]Hot off the presses! The Truncated BandPass Filter was created by John Ehlers (Stocks & Commodities July 2020) and this is a much more reactive version of his original bandpass filter. When the indicator rises above 0 then it is an uptrend and when it falls below 0 then it is in a downtrend. Buy when the indicator line is red and sell when it is green. Let me know if there are other scripts you would like to see me publish or if you want something custom done!
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cheatcountry tarafından
9
Flagging BandsIntroduction A pun between the word flag and the adjective flagging (less dynamic) , this indicator have two bands who react faster when in contact to the price. Imagine you are under sheets, if you abruptly rise, the sheets will instantaneously go up, then if you abruptly get down, the sheets will fall slowly until being in contact with a surface, this is because of a type of friction called drag or air resistance , this force is described in fluid dynamics and i inspired myself from that for the creation of the indicator. The indicator The indicator is made of two bands, one upper band and one lower band, then a weighted average of each bands, this average is weighted depending on which band the price is closer. The length control the period of the indicator, in general higher lengths will create wider bands, you must consider that this parameter behave differently than other ones and may create slower results in comparison with other bands indicators while having the same length period. The indicator can use a simple breakout methodology (see trailing stop part) but can sometime provide support and resistance points, in fact i believe that when the average variability/volatility of band A is higher than the average variability/volatility of band B and that the price cross band B then price will reverse its direction, this claim is not justified, research is needed. Trailing Stop Mod It is possible to make the indicator act as a trailing stop, in order to do so just tick the trailing stop mod box. The average/bands will automatically disappear being replaced by the trailing stop. Conclusion I was just playing around when making the skeleton of the indicator, i hope the code is easy to understand, if you need some kind of explanation just pm me, i'm always open to help people/receive suggestions. Best Regards
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alexgrover tarafından
12
Standard Error Bands by @XeL_arjonaStandard Error Bands - Code by @XeL_arjona Original implementation by: Traders issue: Stocks & Commodities V. 14:9 (375-379): Standard Error Bands by Jon Andersen Version 1 For a quick and publicly open explanation of this Statistical indicator, you can refer at Here! Extract from the former URL: Standard Error bands are quite different than Bollinger's. First, they are bands constructed around a linear regression curve. Second, the bands are based on two standard errors above and below this regression line. The error bands measure the standard error of the estimate around the linear regression line. Therefore, as a price series follows the course of the regression line the bands will narrow, showing little error in the estimate. As the market gets noisy and random, the error will be greater resulting in wider bands.
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xel_arjona tarafından
4