TASC 2024.05 Ultimate Channels and Ultimate Bands█ OVERVIEW
This script, inspired by the "Ultimate Channels and Ultimate Bands" article from the May 2024 edition of TASC's Traders' Tips , showcases the application of the UltimateSmoother by John Ehlers as a lag-reduced alternative to moving averages in indicators based on Keltner channels and Bollinger Bands®.
█ CONCEPTS
The UltimateSmoother , developed by John Ehlers, is a digital smoothing filter that provides minimal lag compared to many conventional smoothing filters, e.g., moving averages . Since this filter can provide a viable replacement for moving averages with reduced lag, it can potentially find broader applications in various technical indicators that utilize such averages.
This script explores its use as the smoothing filter in Keltner channels and Bollinger Bands® calculations, which traditionally rely on moving averages. By substituting averages with the UltimateSmoother function, the resulting channels or bands respond more quickly to fluctuations with substantially reduced lag.
Users can customize the script by selecting between the Ultimate channel or Ultimate bands and adjusting their parameters, including lookback lengths and band/channel width multipliers, to fine-tune the results.
█ CALCULATIONS
The calculations the Ultimate channels and Ultimate bands use closely resemble those of their conventional counterparts.
Ultimate channel:
Apply the Ultimate smoother to the `close` time series to establish the basis (center) value.
Calculate the smooth true range (STR) by applying the UltimateSmoother function with a user-specified length instead of a rolling moving average, thus replacing the conventional average true range (ATR). Users can adjust the final STR value using the "Width multiplier" input in the script's settings.
Calculate the upper channel value by adding the multiplied STR to the basis calculated in the first step, and calculate the lower channel value by subtracting the multiplied STR from the basis.
Ultimate bands:
Apply the Ultimate smoother to the `close` time series to establish the basis (center) value.
Calculate the width of the bands by finding the square root of the average of individual squared deviations over the specified length, then multiplying the result by the "Width multiplier" input value.
Calculate the upper band by adding the resulting width to the basis from the first step, and calculate the lower band by subtracting the width from the basis.
Cerca negli script per "bollingerband"
Bollinger Bands Percentile + Stdev Channels (BBPct) [AlgoAlpha]Description:
The "Bollinger Bands Percentile (BBPct) + STD Channels" mean reversion indicator, developed by AlgoApha, is a technical analysis tool designed to analyze price positions using Bollinger Bands and Standard Deviation Channels (STDC). The combination of these two indicators reinforces a stronger reversal signal. BBPct calculates the percentile rank of the price's standard deviation relative to a specified lookback period. Standard deviation channels operate by utilizing a moving average as the central line, with upper and lower lines equidistant from the average based on the market's volatility, helping to identify potential price boundaries and deviations.
How it Works:
The BBPct indicator utilizes Bollinger Bands, which consist of a moving average (basis) and upper and lower bands based on a specified standard deviation multiplier. By default, it uses a 20-period moving average and a standard deviation multiplier of 2. The upper band is calculated by adding the basis to the standard deviation multiplied by the multiplier, while the lower band is calculated by subtracting the same value. The BBPct indicator calculates the position of the current price between the lower and upper Bollinger Bands as a percentile value. It determines this position by comparing the price's distance from the lower band to the overall range between the upper and lower bands. A value of 0 indicates that the price is at the lower band, while a value of 100 indicates that the price is at the upper band. The indicator also includes an optional Bollinger Band standard deviation percentage (%Stdev) histogram, representing the deviation of the current price from the moving average as a percentage of the price itself.
Standard deviation channels, also known as volatility channels, aid in identifying potential buying and selling opportunities while minimizing unfavorable trades. These channels are constructed by two lines that run parallel to a moving average. The separation between these lines is determined by the market's volatility, represented by standard deviation. By designating upper and lower channel lines, the channels demarcate the borders between typical and atypical price movements. Consequently, when the market's price falls below the lower channel line, it suggests undervaluation, whereas prices surpassing the upper channel line indicate overvaluation.
Signals
The chart displays potential reversal points through the use of red and green arrows. A red arrow indicates a potential bearish retracement, signaling a possible downward movement, while a green arrow represents a potential pullback to the positive, suggesting a potential upward movement. These signals are generated only when both the BBPct (Bollinger Bands Percentage) and the STDC (Standard Deviation Channel) indicators align with bullish or bearish conditions. Consequently, traders might consider opening long positions when the green arrow appears and short positions when the red arrow is plotted.
Usage:
This indicator can be utilized by traders and investors to effectively identify pullbacks, reversals, and mean regression, thereby enhancing their trading opportunities. Notably, extreme values of the BBPct, such as below -5 or above 105, indicate oversold or overbought conditions, respectively. Moreover, the presence of extreme STDC zones occurs when prices fall below the lower channel line or cross above the upper channel line. Traders can leverage this information as a mean reversion tool by identifying instances of peak overbought and oversold values. These distinctive characteristics facilitate the identification of potential entry and exit points, thus augmenting trading decisions and enhancing market analysis.
The indicator's parameters, such as the length of the moving average, the data source, and the standard deviation multiplier, can be customized to align with individual trading strategies and preferences.
Originality:
The BBPct + STDC indicator, developed by AlgoAlpha, is an original implementation that combines the calculation of Bollinger Bands, percentile ranking, the %Stdev histogram and the STDC. While it shares some similarities with the Bollinger Bands %B indicator, the BBPct indicator introduces additional elements and customization options tailored to AlgoAlpha's methodology. The script is released under the Mozilla Public License 2.0, granting users the freedom to utilize and modify it while adhering to the license terms.
Rectified BB% for option tradingThis indicator shows the bollinger bands against the price all expressed in percentage of the mean BB value. With one sight you can see the amplitude of BB and the variation of the price, evaluate a reenter of the price in the BB.
The relative price is visualized as a candle with open/high/low/close value exspressed as percentage deviation from the BB mean
The indicator include a modified RSI, remapped from 0/100 to -100/100.
You can choose the BB parameters (length, standard deviation multiplier) and the RSI parameter (length, overbougth threshold, ovrsold threshold)
You can exclude/include the candles and the RSI line.
The indicator can be used to sell options when the volatility is high (the bollinger band is wide) and the price is reentering inside the bands.
If the price is forming a supply or demand area it can be a good opportunity to sell a bull put or a bear call
The RSI can be used as confirm of the supply/demand formation
If the bollinger band is narrow and the RSI is overbought/oversold it indicate a better opportunity to buy options
the indicator is designed to work with daily timeframe and default parameters.
FibonRSI / ErkOziHello,
This software is a technical analysis script written in the TradingView Pine language. The script creates a trading indicator based on Fibonacci retracement levels and the RSI indicator, providing information about price movements and asset volatility by using Bollinger Bands.
There are many different scripts in the market that draw RSI and Fibonacci retracement levels. However, this script was originally designed by me and shared publicly on TradingView.
***The indicator uses RSI (Relative Strength Index) and Bollinger Bands (BB) as the basis for the FibonRSI strategy. RSI measures the strength of a price movement, and BB measures the volatility of an asset. The FibonRSI strategy is based on the idea that the Fibonacci ratios and RSI can be used to predict a asset's price retracement levels.
***The script allows for various parameters to be adjusted. Users can specify the price source type and adjust the periods for RSI and Bollinger Bands. The standard deviation number for Bollinger Bands can also be customized.
***The script calculates the current RSI indicator position and the basic, upper, and lower levels of Bollinger Bands. It then calculates and draws the Fibonacci retracement levels. The color of the RSI line is determined by the upper and lower distribution levels of Bollinger Bands. Additionally, the color of the Fibonacci retracement levels can also be customized by the user.
***This script can be used to determine potential buy and sell signals using Fibonacci retracement levels and RSI. For example, when the RSI is oversold and the price is close to a Fibonacci retracement level, it can be interpreted as a buying opportunity. Similarly, when the RSI is overbought and the price is close to a Fibonacci retracement level, it can be interpreted as a selling opportunity.
***The script takes input parameters such as the price source used for calculation, the period for the RSI indicator, the period for the Moving Average in Bollinger Bands, and the number of standard deviations used in Bollinger Bands.
***The script's conditions include elements such as calculating the current position of the RSI indicator, calculating the upper and lower Bollinger Bands, calculating the dispersion factor, and calculating Fibonacci levels.
***The parameters in the code can be adjusted for calculation, including the price type used, the RSI period, the Moving Average period for BB, and the standard deviation count for BB. After this, the current position of the RSI, Moving Average, and standard deviation for BB are calculated. After calculating the upper and lower BB, the levels above and below the average are calculated using a specific dispersion constant.
CONDITIONS FOR THE SCRIPT
current_rsi = ta.rsi(src, for_rsi) // Current position of the RSI indicator
basis = ta.ema(current_rsi, for_ma)
dev = for_mult * ta.stdev(current_rsi, for_ma)
upper = basis + dev
lower = basis - dev
dispersion = 1
disp_up = basis + (upper - lower) * dispersion
disp_down = basis - (upper - lower) * dispersion
// Fibonacci Levels
f100 = basis + (upper - lower) * 1.0
f78 = basis + (upper - lower) * 0.78
f65 = basis + (upper - lower) * 0.65
f50 = basis
f35 = basis - (upper - lower) * 0.65
f23 = basis - (upper - lower) * 0.78
f0 = basis - (upper - lower) * 1.0
***When calculating Fibonacci levels, the distance between the average of BB and the upper and lower BB is used. These levels are 0%, 23.6%, 35%, 50%, 65%, 78.6%, and 100%. Finally, the RSI line that changes color according to a specific RSI position, Fibonacci levels, and BB are visualized. Additionally, the levels of 70, 30, and 50 are also shown.
The script then sets the color of the RSI position according to the EMA and draws Bollinger Bands, RSI, Fibonacci levels, and the 70, 30, and 50 levels.
In conclusion, this script enables traders to analyze market trends and make informed decisions. It can also be customized to suit individual trading strategies.
This script analyzes the RSI indicator using Bollinger Bands and Fibonacci levels. The default settings are 14 periods for RSI, 233 periods and 2 standard deviations for BB. The MA period inside BB is selected as the BB period and is used when calculating Fibonacci levels.
***The reason for selecting these settings is to provide enough time for BB period to confirm a possible trend. Additionally, the MA period inside BB is matched with the BB period and used when calculating Fibonacci levels.
***Fibonacci levels are calculated from the distance between the upper and lower bands of BB and show how RSI movement is related to these levels. Better results can be achieved when RSI periods are set to Fibonacci numbers such as 21, 55, and 89. Therefore, the use of Fibonacci numbers is recommended when adjusting RSI periods. Fibonacci numbers are among the technical analysis tools that can capture the reflection of naturally occurring movements in the market. Therefore, the use of Fibonacci numbers often helps to better track fluctuations in the market.
Finally, the indicator also displays the 70 and 30 levels and the middle level (50) with Fibonacci levels drawn in circles. Changing these settings can help optimize the Fibonacci levels and further improve the indicator.
Thank you in advance for your suggestions and opinions......
Bollinger Bands SignalsDescription:
This indicator works well in trendy markets on long runs and in mean-reverting markets, at almost any timeframe.
That said, higher timeframes are much preferred for their intrinsic ability to cut out noise. The example chart is in 3H TF.
Be mindful, the script shows somewhat erratic jigsaw-like behaviour during consolidation periods when the price
jumps up and down in indecision which way to go. Fortunately, there are scripts out there that detect such periods.
You can choose between 4 Moving Averages, Vidya being the default. Period, Deviation and Bands Width parameters
all of them affect the signal generation.
For the Pine Script coder this script is pretty obvious.
It uses a standard technical analysis indicator - Bollinger Bands - and appends it with a 'width' parameter and
a signal generation procedure.
The signal generation procedure is the heart of this script that keeps the script pumping signals.
The BB width is used as a filter.
You can use this procedure in your own scripts and it will continue generate signals according to your rules.
Wavetrend in Dynamic Zones with Kumo Implied VolatilityI was asked to do one of those, so here we go...
As always free and open source as it should be. Do not pay for such indicators!
A WaveTrend Indicator or also widely known as "Market Cipher" is an Indicator that is based on Moving Averages, therefore its an "lagging indicator". Lagging indicators are best used in combination with leading indicators. In this script the "leading indicator" component are Daily, Weekly or Monthly Pivots . These Pivots can be used as dynamic Support and Resistance , Stoploss, Take Profit etc.
This indicator combination is best used in larger timeframes. For lower timeframes you might need to change settings to your liking.
The general Wavetrend settings are the same that are used in Market Cipher, Market Liberator and such popular indicators.
What are these circles?
-These are the WaveTrend Divergences. Red for Regular-Bearish. Orange for Hidden-Bearish. Green for Regular-Bullish. Aqua for Hidden-Bullish.
What are these white, orange and aqua triangles?
-These are the WaveTrend Pivots. A Pivot counter was added. Every time a pivot is lower than the previous one, an orange triangle is printed, every time a pivot is higher than the previous one an aqua triangle is printed. That mimics a very common way Wavetrend is being used for trading when using those other paid Wavetrend indicators.
What are these Orange and Aqua Zones?
-These are Dynamic Zones based on the indicator itself, they offer more information than static zones. Of course static lines are also included and can be adjusted.
What are the lines between the waves?
-This is a Kumo Cloud Implied Volatility indicator. It is color coded and can be used to indicate if a major market move/bottom/top happened.
What are those numbers on the right?
-The first number is a Bollinger Band indicator that shows if said Bollinger Band is in a state of Oversold/Overbought, the second number is the actual Bollinger Band Width that indicates if the Bollinger Band squeezes, normally that happens right before the market makes an explosive move.
Please keep in mind that this indicator is a tool and not a strategy, do not blindly trade signals, do your own research first! Use this indicator in conjunction with other indicators to get multiple confirmations.
Keltner Channel Width Oscillator (KingThies)Definition
The Keltner Channel Width oscillator is a technical analysis indicator derived originally from the same relationship the Bollinger Band Width indicator takes on Bollinger Bands.
Similar to the Bollinger Bands, Kelts measure volatility in relation to price, and factor in various range calculations to create three bands around the price of a given stock or digital asset. The Middle Line is typically a 20 Day Exponential Moving Average while the upper and lower bands highlight price at different range variations around its basis. Keltner Channel Width serve as a way to quantitatively measure the width between the Upper and Lower Bands and identify opportunities for entires and exits, based on the relative range price is experiencing that day.
Calculation
Kelt Channel Width = (Upper Band - Lower Band) / Middle Band
More on Keltner Channels
Keltner channel was first described by a Chicago grain trader called Chester W. Keltner in his 1960 book How to Make Money in Commodities. Though Keltner claimed no ownership of the original idea and simply called it the ten-day moving average trading rule, his name was applied by those who heard of this concept through his books.
Similarly to the Bollinger Bands, Keltner channel is a technical analysis tool based on three parallel lines. In fact, the Keltner indicator consists of a central moving average in addition to channel lines spread above and below it. The central line represents a 10-day simple moving average of what Chester W. Keltner called typical price. The typical price is defined as the average of the high, low and close. The distance between the central line and the upper, or lower line, is equivalent to the simple moving average of the preceding 10 days' trading ranges.
One way to interpret the Keltner Channel would be to consider the price breakouts outside of the channel. A trader would track price movement and consider any close above the upper line as a strong buy signal. Equivalently, any close below the lower line would be considered a strong sell signal. The trader would follow the trend emphasized by the indicator while complementing his analysis with the use of other indicators as well. However, the breakout method only works well when the market moves from a range-bound setting to an established trend. In a trend-less configuration, the Keltner Channel is better used as an overbought/oversold indicator. Thus, as the price breaks out below the lower band, a trader waits for the next close inside the Keltner Channel and considers this price behavior as an oversold situation indicating a potential buy signal. Similarly, as the price breaks out above the upper band, the trader waits for the next close inside the Keltner Channel and considers this price action as an overbought situation indicating a potential sell signal. By waiting for the price to close within the Channel, the trader avoids getting caught in a real upside or downside breakout.
LNL Squeeze ArrowsIf you struggle with the entries, low % win rate or trading the squeeze setup overall, this indicator is for you!
If you look closely at your losing trades, chances are the losers have one thing in common = inverse momentum. I created this tool after I found out that Stacked EMAs and picture perfect trend is not the only thing you need for a squeeze setup. Squeeze arrows pinpoint the exact moment where the squeeze momentum change happens (momentum change is absolutely crucial for the squeeze setup). These arrows will help you stay out of "everything was aligned but still failed" type of setups.
Squeeze Arrows:
1. Momentum Arrows (cyan blue/red) - Showing the best possible moment for an entry during the squeeze (after you see one, you can expect the squeeze to fire soon).
2. Slingshot Arrows (yellow) - Even though you can trade off of them, these arrows work mostly as a confirmation & caution tool. If an inverse slingshot arrow is plotted during a squeeze that means caution = you should wait because momentum is not on your side thus there there is a quite high probability that the squeeze can fire the other direction.
Squeeze Dots Trigger:
Represents the number of red dots (squeeze) after which the arrows should plot. Default = 5 (only after 5 red dots, arrows will appear), some traders like to set it on 3 or even 1.
Tips & Tricks:
1.Breakout or Bailout Mentality
- The big advantage of the arrows is the fact that they either work straight away or they don't. This is where you can apply the breakout or bailout mentality and really focus exclusively on the breakout part of the whole squeeze move. You can minimize the risk by putting mental stops just a few points below the last low of the candle where the arrows appeared. That way you can be stopped out even during the squeeze = won't hurt as much as when the squeeze fire the opposite direction. Reward may be the same but the risk is lower.
2. Yellow Flags
- Use the slingshot arrows as a caution tool. Even if all your squeeze criteria are met. Yellow inverse arrow = caution (wait for the true momentum change). Once the slingshot arrow appears in the conext of the trend, you are good to go.
3. Last Arrow Rule
- Sometimes you will see a lot of arrows during the longer squeezes. This is where the last arrow rule come in handy. The last arrow you see on chart can be canceled anytime by a new one. The last arrow is the valid one!
Hope you can squeeze from these squeeze arrows as much as there is to squeeze so you can finally trade the squeeze with ease.
Hope it helps.
Waddah Attar Explosion V3 [NHK] -Bollinger - MACDWaddah Attar Explosion Version3 indicator to work in Forex and Crypto, This indicator oscillates above and below zero and the Bollinger band is plotted over the MACD Histogram to take quick decisions, Colors are changed for enhanced look. dead zone is plotted in a background area and option is provided to hide dead zone. One can easily detect sideways market movement using Bollinger band and volume. when volume is in between Bollinger band no trades are to be taken as volume is low and market moving in sideways
credits to: @shayankm and @LazyBear
Read the main description below...
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This is a port of a famous MT4 indicator. This indicator uses MACD /BB to track trend direction and strength. Author suggests using this indicator on 30mins.
Explanation from the indicator developer:
"Various components of the indicator are:
Dead Zone Line: Works as a filter for weak signals. Do not trade when the up or down histogram is in between Dead Zone.
Histograms:
- Pink histogram shows the current down trend.
- Blue histogram shows the current up trend.
- Sienna line / Bollinger Band shows the explosion in price up or down.
Signal for ENTER_BUY: All the following conditions must be met.
- Blue histogram is raising.
- Blue histogram above Explosion line.
- Explosion line raising.
- Both Blue histogram and Explosion line above DeadZone line.
Signal for EXIT_BUY: Exit when Blue histogram crosses below Explosion line / Bollinger Band.
Signal for ENTER_SELL: All the following conditions must be met.
- Pink histogram is raising.
- Pink histogram above Explosion line.
- Explosion line raising.
- Both Pink histogram and Explosion line above DeadZone line.
Signal for EXIT_SELL: Exit when Pink histogram crosses below Explosion line.
All of the parameters are configurable via options page. You may have to tune it for your instrument.
Triple ThreatThis indicator provides buy and sell signals for Bitcoin based on confluence from well-known momentum, volatility, and trend indicators. It has successfully captured the major directional trends on Bitcoin's daily chart since 2018, and the settings are currently optimized for this chart in particular. This indicator implements RSI to gauge momentum, BBWP to gauge volatility, and an EMA to gauge trend. Maximum confluence signals are represented by horizontal bars in the indicator's pane, where the tallest green bar is a confirmed buy signal, and the tallest red bar is a confirmed sell signal. The shortest bar represents a momentum-only signal, and the second-shortest bar represents a volatility signal in confluence with the previously given momentum signal.
To track momentum, the RSI is plotted to the indicator plane against a moving average of the RSI. A momentum signal is generated when the RSI crosses over its moving average, retests/approaches the moving average, and then continues in the crossover direction (i.e., it fails to cross the moving average to the opposite side, creating a successful retest). The settings that affect this trigger are the "Crossover Threshold," which specifies how much the RSI should exceed the moving average to be considered a crossover, and the "Retest threshold," which specifies how closely the RSI should approach the moving average to be considered a retest. A momentum signal is ALSO generated if the RSI or its moving average exceed their counterpart by a certain threshold. For example, if the threshold was set at 10, a BUY signal would be generated when the RSI exceeds the moving average by 10, or a SELL signal would be generated when the moving average exceeds the RSI by 10. This threshold can be set using the "Instant Signal Threshold" setting. Either type of momentum signal will be plotted on the pane as the shortest horizontal bar, with its color indicating the signal's direction.
Volatility is primarily measured using the Bollinger Band Width Percentile (BBWP) indicator, which was created by The_Caretaker. BBWP plots the volatility of the asset's price, given by Bollinger Band width, relative to past volatility by assigning the volatility readings into percentiles. The indicator also includes a moving average of the BBWP itself, where a crossover to the upside represents expanding volatility and a crossover to the downside represents contracting volatility. This indicator is used to confirm a signal given by the momentum indicators - a momentum signal that is given during a period of expanding volatility has a greater likelihood of success. Therefore, when the BBWP crosses above its moving average by a given threshold, a previously triggered momentum signal is considered to be "confirmed." The threshold for this crossover can be set using the "BBWP Confirmation Threshold" setting. However, it is also relevant that periods of extreme volatility often accompany an extremity in price action (a "top" or "bottom"), in which case the BBWP is likely to contract after price reaches such an extremity. This phenomenon is captured by also using "extreme reads" on the momentum indicator to signal that there has already been enough volatility to confirm a momentum signal. If the RSI gives an "extreme read" before triggering a signal, the momentum signal is also considered to be confirmed. For example, if the RSI is above 80, breaks below 80, and then gives a SELL signal, this sell signal is considered to be confirmed without requiring the BBWP to crossover its moving average to the upside. The threshold that would confirm a SELL signal can be set with the "Overbought" setting, and the threshold that would confirm a BUY signal can be set with the "Oversold" setting. Whenever a volatility signal confirms a momentum signal, a medium-sized horizontal bar will be plotted on the pane in the same directional color as the momentum signal. Note that a momentum signal may trigger at the exact same time as the volatility signal which confirms it; in this case, only the medium-sized bar will be visible on the pane, but its direction can still be identified by its color.
Lastly, to reduce the likelihood of "false signals," a trend indicator is used to confirm the direction of the signal. This is typically an exponential moving average. If a confirmed volatility SELL signal is given, and the closing price is below the moving average, then the SELL signal is also confirmed by the trend. Likewise, if a confirmed volatility BUY signal is given, and the closing price is above the moving average, then the BUY signal is confirmed by the trend. The type and length of the moving average used to verify the trend can be set using the "Moving Average Type" and "Moving Average Length" settings found below the momentum/volatility settings. A trend signal is plotted on the pane as a tall horizontal bar, and is more deeply colored than the momentum and volatility signals.
For maximum confluence, it is recommended that the trend signal, given by the tallest bar, is the one that forms the basis of trades executed while using the Triple Threat indicator. It is possible to enter more aggressive trades with better entries by using only the volatility signal, given by the medium-sized bar, however this entails greater risk and should only be done in confluence with an additional trading strategy of your own discretion. Backtesting has shown that using the volatility signal alone underperforms using the volatility signal in confluence with the trend signal.
Please also be advised that the default setting are optimized for Bitcoin's daily chart only. The indicator is still applicable to other timeframes and asset classes, but the settings may need to be modified. I have a list of settings for other Bitcoin timeframes, and I would be happy to share them upon request.
I hope you can find this indicator to be of some use to your trading strategies. I'd be happy to hear any feedback from the community, so please don't hesitate to reach out. Stay safe, and happy trading.
LPB MicroCycles StrategyWhat it is:
We use the Hodrick-Prescott filter applied to the closing price, and then take the outputted trendline and apply a custom vwap, the time frame of which is based on user input, not the default 1 day vwap . Then we go long if the value 2 bars ago is greater then one bar ago. We sell and color the bars and lines when the if the value of 2 bars ago is less than one bar ago.
Also included:
GUI for backtesting
ATR Based Stop Loss
How to use:
Go long when the indicators suggest it, and use the stop losses to reduce risk.
Best if paired with a volatility measurement (inside candles, average true range , bollingerband%B)
Bollinger Bands w/ Squeeze AlertBollinger's "simple" explanation for a Squeeze is the lowest volatility in the last 6 months. This indicator uses a default look-back period of 125 bars to determine the lowest BandWidth. When current BandWidth drops below the lowest BandWidth of the look-back period, the background of the bands turns red. Default look-back of 125 bars is ~6 months on daily charts.
The source, length, and standard deviation for the Bollinger Bands can all be adjusted. The look-back period for the Squeeze indicator can be adjusted as well.
The image shows my Bollinger Bands w/ Squeeze Alert indicator next to someone else's Bollinger Bandwidth w/ Squeeze Alert indicator to demonstrate how it appears on the chart.
Durbtrade Bollinger Bands WidthFirst published script. Actually, this is my 1st script ever! I know its not flashy or anything, but I finally decided to try learning some pine... and to try and get rid of the dang 0 on my profile, haha. So here are the results after many hours.
I like using the BB Width indicator, and I wanted it to change color based on whether is was rising or falling. I also have it to automatically plot a horizontal line at 0 so I don't have to draw a line every time I apply the indicator to a new chart. And I changed the default precision to 3.
I noticed that there aren't that many BB Width scripts. and I don't think there is anything like this out there that I know of, so I hope someone else besides me will find it useful.
Please feel free to comment.
[blackcat] L2 Center Band BollingerLevel: 2
Background
Bollinger bands are a type of price envelope developed by John Bollinger , where price envelopes define upper and lower price ranges. Bollinger Bands are envelopes that are represented with a standard deviation above and below a simple moving average of price. Because the spacing of the bands is based on the standard deviation, they adjust for fluctuations in the volatility of the underlying price.
Function
L2 Center Band Bollinger takes advantage of Bollinger band to detect sideways and trends. At the same time, I made an improvement and the center Bollinger line as a fast-slow-line color band. The algorithm of the color center band is composed of price and volume information, which produces gold cross and dead cross for short term long and short entries.
Key Signal
aa10 --> bollinger middle fast line
aa12 --> bollinger middle slow line
up --> upper envelope
dn --> lower envelope
Pros and Cons
Pros:
1. it can easy see the sections of trends or sideways by width of Bollinger band
2. long and short entries are disclosed
Cons:
1. Some noise is still incorporated in trends
2. due to this is un-optimized version, time frame and trading pairs need to be selected
3. Bollinger re-entry signal is not disclosed yet
Remarks
The long and short signal is compatible to @nilux strategy backtest framework for sandardized backtest scheme: Backtest
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Bollinger Bands Filter
Bollinger Bands is a classic indicator that uses a simple moving average of 20 periods, along with plots of upper and lower bands that are 2 standard deviations away from the basis line. These bands help visualize price volatility and trend based on where the price is, in relation to the bands.
Bollinger Bands filter plots a long signal when price closes above the upper band and plots a short signal when price closes below the lower band. It doesn't take into account any other parameters such as Volume/RSI/ Fundamentals etc, so user must use discretion based on confirmations from another indicator or based on fundamentals.
The filter works great when the price closes above/below upper/lower bands with continuation on next bar. It is definitely useful to have this filter along with other indicators to get early glimpse of breach/fail of bands on candle close during BB squeeze or based on volatility.
This can be used on Heikin Ashi candles for spotting trends, but HA candles are not recommended for trade entries as they don't reflect true price of the asset.
This filter's default is 55 SMA and 1 standard deviation, but these can be changed from settings.
It is definitely worth reading the 22 rules of Bollinger Bands written by John Bollinger.
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Note:
1. Alerts can be created for long and short signals using "Once per bar close".
2. The indicator doesn't repaint.
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Colored Directional Movement and Bollinger Band's Cloud by DGTThis study combines Bollinger Bands, one of the most popular technical analysis indicators on the market, and Directional Movement (DMI), which is another quite valuable technical analysis indicator.
Bollinger Bands used in conjunction with Directional Movement (DMI) may help getting a better understanding of the ever changing landscape of the market and perform more advanced technical analysis
Here are details of the concept applied
1- Plots Bollinger Band’s (BB) Cloud colored based on Bollinger Band Width (BBW) Indicator’s value
Definition
Bollinger Bands (created by John Bollinger ) are a way to measure volatility . As volatility increases, the wider the bands become and similarly as volatility decreases, the gap between bands narrows
Bollinger Bands, in widely used approach, consist of a band of three lines. Likewise common usage In this study a band of five lines is implemented
The line in the middle is a Simple Moving Average (SMA) set to a period of 20 bars (the most popular usage). The SMA then serves as a base for the Upper and Lower Bands. The Upper and Lower Bands are used as a way to measure volatility by observing the relationship between the Bands and price. the Upper and Lower Bands in this study are set to two and three standard deviations (widely used form is only two standard deviations) away from the SMA (The Middle Line), hence there are two Upper Bands and two Lower Bands. The background between two Upper Bands is filled with a green color and the background between two Lower Bands is filled with a red color. In this we have obtained Bollinger Band’s (BB) Clouds (Upper Cloud and Lower Cloud)
Additionally the intensity of the color of the background is calculated with Bollinger Bands Width ( BBW ), which is a technical analysis indicator derived from the standard Bollinger Bands indicator. Bollinger Bands Width, quantitatively measures the width between the Upper and Lower Bands. In this study the intensity of the color of the background is increased if BBW value is greater than %25
What to look for
Price Actions : Prices are almost always within the bands especially at this study the bands of three standard deviations away from the SMA. Price touching or breaking the BB Clouds could be considered as buying or selling opportunity. However this is not always the case, there are exceptions such as Walking the Bands. “Walking the Bands” can occur in either a strong uptrend or a strong downtrend. During a strong trend, there may be repeated instances of price touching or breaking through the BB Clouds. Each time that this occurs, it is not a signal, it is a result of the overall strength of the move. In this study in order to get a better understanding of the trend and add ability to perform some advanced technical analysis Directional Movement Indicator (DMI) is added to be used in conjunction with Bollinger Bands.
Cycling Between Expansion and Contraction : One of the most well-known theories in regards to Bollinger Bands is that volatility typically fluctuates between periods of expansion (Bands Widening : surge in volatility and price breaks through the BB Cloud) and contraction (Bands Narrowing : low volatility and price is moving relatively sideways). Using Bollinger Bands in conjunction with Bollinger Bands Width may help identifying beginning of a new directional trend which can result in some nice buying or selling signals. Of course the trader should always use caution
2- Plots Colored Directional Movement Line
Definition
Directional Movement (DMI) (created by J. Welles Wilder ) is actually a collection of three separate indicators combined into one. Directional Movement consists of the Average Directional Index (ADX) , Plus Directional Indicator (+D I) and Minus Directional Indicator (-D I) . ADX's purposes is to define whether or not there is a trend present. It does not take direction into account at all. The other two indicators (+DI and -DI) are used to compliment the ADX. They serve the purpose of determining trend direction. By combining all three, a technical analyst has a way of determining and measuring a trend's strength as well as its direction.
This study combines all three lines in a single colored shapes series plotted on the top of the price chart indicating the trend strength with different colors and its direction with triangle up and down shapes.
What to look for
Trend Strength : Analyzing trend strength is the most basic use for the DMI. Wilder believed that a DMI reading above 25 indicated a strong trend, while a reading below 20 indicated a weak or non-existent trend
Crosses : DI Crossovers are the significant trading signal generated by the DMI
With this study
A Strong Trend is assumed when ADX >= 25
Bullish Trend is defined as (+D I > -DI ) and (ADX >= 25), which is plotted as green triangle up shape on top of the price chart
Bearish Trend is defined as (+D I < -DI ) and (ADX >= 25), which is plotted as red triangle down shape on top of the price chart
Week Trend is assumed when 17< ADX < 25, which is plotted as black triangles up or down shape, depending on +DI-DI values, on top of the price chart
Non-Existent Trend is assumed when ADX < 17, which is plotted as yellow triangles up or down shape, depending on +DI-DI values, on top of the price chart
Additionally intensity of the colors used in all cases above are defined by comparing ADX’s current value with its previous value
Summary of the Study:
Even more simplified and visually enhanced DMI drawing comparing to its classical usage (may require a bit practice to get used to it)
As said previously, to get a better understanding of the trend and add ability to perform some advanced technical analysis Directional Movement Indicator (DMI) is used in conjunction with Bollinger Bands.
PS: Analysis and tests are performed with high volatile Cryptocurrency Market
Source of References : definitions provided herein are gathered from TradingView’s knowledgebase/library
Disclaimer: The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone 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
Custom Band Strategy1. Trend
if ema200 > ema30 Long entry only
else Short entry only
2. Custom Band
Upper band = sma(period) + max(close, period) * multiplier
Lower band = sma(period) - max(close, period) * multiplier
Multiplier can be either 1.3 or 1.1 depending on the trend.
(If trend is long, upper band's factor would be 1.3, lower band be 1.1)
2. Long entry condition
- Cross over the lower band and band width is greater than (close price)*2.2%(assume this band width as an expected ROE)
- Previous candle change rate((close-open)/open*100) is less than 3%.
3. Short entry condition
- Cross under the upper band and band width is greater than (close price)*2.2%
- Previous candle change rate is less than 3%.
4. Long/Short exit condition
- cross over/under the lower/upper band and roe is higher than 2%.
5. Stop/Target condition
- Target 10%, Stoploss 3%
- Previous candle change rate is higher than 3%.
Most variables can be set manually.
Test period changeable.
[TH] Adaptive Trend : StrategyAdaptive Trend : Strategy
*** It should be used with 'heikin ashi' chart ***
Super Trend
Basically, it is super trend strategy ( Rajandran R Supertrend )
- My idea is,
1. (scale) Factor of super trend is related with sensitivity of Up/Down trend change
2. Constant Factor cause failure of super trend strategy when market prices variance is low ( ie. high Factor ==> miss short trend )
3. By using variance measure ( like BollingerBand ) as a varying Factor, maybe we can catch short trend and long trend together
Loss Cut
The silver thick line is loss cut line & silver background means exit position status
I found that silver background is appear usually when price moves horizontally
1. It is set to open price of actual position entry ( heikin ashi chart's open price = loss cut line = (open + close)/2 )
2. If position is long
==> loss cut is executed when low price is lower than loss cut line
==> re-entry when low price is higher than loss cut line
3. If Position is short
==> loss cut is executed when high price is higher than loss cut line
==> re-entry when high price is lower than loss cut lin
ChannelBreakOutStrategyV2.1This is the basic strategy that uses the price breakout of BollingerBands.
[MV] %B with SMA + Volume Based Colored Bars
Entry Signal when %B Crosses with SMA and this is more meaningful if it supports colored bars.
Black Bar when prices go down and volume is bigger than 150% of its average, that indicates us price action is supported by a strong bearish volume
Blue Bar when prices go up and volume bigger than 150% of its average, that indicates us price action is supported by a strong bullish volume
VBC author @KIVANCfr3762
MFI * %B [seiglerj]Oscillator averaging Money Flow Index and Bollinger Bands' %B
Colored bars indicate buy or sell signals
I have no idea if this is the right way to combine these two, but I'm gonna try it and see what happens
