Inverse BandsThis was the result of quite some time spent examining how much information could be gleamed by studying the interactions between Keltner Channels, STARC Bands and Bollinger Bands. I was surprised by the results.
First of all, there are four fills that are black. Set the transparency of those to 0 and you'll see this indicator the way that it's meant to be seen. Those fills belong to unused sections of the Bollinger Bands.
There are two clouds which represent STARC Bands and the Keltner Channel. There is some delay when they flip from bullish (green) to bearish (red), but they are indicative of the trend. The space between them is black and the narrower that space is, the greater volatility is. Because of this, we don't need the exterior Bollinger Bands.
The Bollinger Bands remain visible as the yellow interior clouds on the top cloud and the blue interior clouds on the bottom cloud. Often, the thicker the yellow or blue cloud is, the less severe a throwback from a given trend reversal will be. Often the thinner that yellow or blue cloud is, the more severe the trend reversal will be. If price is rising into a thin interior yellow cloud, the following dip will be substantial. If price action dips towards a thicker interior blue cloud, often the pump following that dump will be less enthusiastic.
We preserve the Keltner Channel and STARC bands as our cloud because the way that they interact with the three basis lines yields a lot of information.
The yellow Bollinger basis line tells us about trend strength. The closer the BB basis line is to the top of the top cloud or the bottom of the bottom cloud, the stronger the trend is. When it enters the cloud very close to the bottom of the bottom cloud, you know you're looking at a strong pump, and vice versa when it's close to the top of the top cloud.
The purple Keltner Channel basis line and orange STARC Band basis line can forecast short term trend changes one candlestick in advance by contacting any line in either cloud. The moment either basis line touches or crosses any boundary of the clouds, you know that the next candle will change directions. In an uptrend, a touch or cross means the next candle will have a lower high point. In a downtrend, a cross or touch means the next candle will have a higher high point. This is most useful in scalping.
It'd be pretty easy to slap some crossover alerts on to this and useful considering that they come a candle in advance. Feel free to further explore and develop this.
Kanały Keltnera (KC)
Keltner FibzonesKeltner Channel with Fibonacci Zones which uses properties of a Donchian Channel.
This script is a variation of the Fibonacci Zone script and the Donchian Fibonacci Trading Tool which I published earlier. A Keltner Channel gives more useful information to the trader than a Donchian Channel, because it provides a depiction of “normal range” and shows “outside normalcy” situations. Fibonacci lines provide a way to see if the market is trending up or down, while moving inside the channel, because in cases where the Fibonacci lines function as resistance, the trend is down, whereas when these turn out to be supports the trend is up.
Example of use:
If after a rally up - in which candles moves outside the channel - these return into the channel, this means a “new normal”. If the fibs turn out to give support, one may assume that this is a temporary sideways movement in which a flag is formed, after which following rally up may happen. With rally down the opposite is true. Top and bottom situations show a change in the way the market uses the fiblines.
The middle line of the Donchian Channel is used as the middle line of the Keltner channel, in stead of the sma in the classic channel. Default for calculation is 2 x Average True Range above and below this line. Default for the periods of the channel is 20 periods, because this allows the candles to go outside the channel. If you shorten this, all happens inside the channel.
Squeeze Momentum Indicator v4_pine [By Lazy Bear]This is the famous Squeeze Momentum Indicator made by @LazyBear in v4 version if someone wants to test some strategies, as the original code was in v2 version the code converter couldn't convert to v4.
MA Streak Change ChannelChange Channel is like KC unless it uses percentage changes in price to set channel distance. Midline is zero-lag smoothed ROC with dynamic period based on MA Streak indicator, if MA Streak shows an ongoing trend, midline going strong and break out the channel.
Consider using ▲ green areas as a signal to buy and ▼ red areas as a sell signal. It works best in a flat market. Use in combination with other indicators.
Squeeze Momentum Signal Overlay [GN]Companion script for Squeeze Momentum Indicator that plots the signal on chart.
Relative Channel BandwidthThis indicator uses different volatility channels - Bollinger Band, Donchian Channel and Keltner Channel width to measure volatility.
Indicator plots channel bandwidth percentage with respect to close price.
This is not same as Bollinger Percent B - which is measure of where price is with respect to band. Instead this indicator is similar to ATR Percent indicator published here:
Plotting is color coded to indicate volatility zone:
Red : Extreme volatility
Orange : High volatility
Lime : Low volatility
Green : Extreme low volatility
These levels are again derived by long period bollinger bands
Adoptive Supertrend - BandsAnother adoption of supertrend. This time based on different channels - Bollinger Band, Keltner Channel, Donchian Channel and Pivot point based Donchian channel.
When price hits top of bands, it is considered as start or continuation of uptrend. When price hits bottom of the band it is considered as start or continuation of downtrend. Hence, supertrend is drawn based on these calculations. Use ATR Periods and ATR Multiplier to create stops certain ATR away from band's top and bottom.
Other supertrend adoptions published are here:
Pivot point based donchian channel is published here:
Multi Band ChannelPutting multiple bollinger bands/keltener channels together helps visualize the relative price movement. I have also used this in my BuyTheDip V2 strategy to measure dip and bounce back. 7 Standard deviation is used here. These are calculated based on the input fields StdDevStart and StdDevStep .
Screener - Mean Reversion Channel█ OVERVIEW
This is Screener script for Mean Reversion Channel Indicator
█ Description & How To Use
The screener works by scanning through up to 40 symbols and list down symbols that are currently within Overbought/Oversold Zone as defined by Mean Reversion Channel indicator.
The Overbought/Oversold Zone are further categorized and sorted by:
Strong : Indicated by "(Strong)" next to the symbol name
Normal : Indicated by the absence of "(Strong)" or "(Weak)" next to the symbol name
Weak : Indicated by "(Weak)" next to the symbol name
Notes: Refer to chart above to see how the Zone are categorized.
Notes: If the screener displays "Nothing Interesting". It simply means none of the screened assets are within the Overbought/Oversold Zone.
█ Features
- Scan up to 40 symbols at a time (By default, no asset is define. Once configured all the symbols you required, remember to save as default to save you from pain of configuring it again in the future)
- Options to scan by zones
- Custom Timeframe
█ Limitation
Due to multiple use of security() function required to call other symbols, expect the screener to be slow at certain times
█ Disclaimer
Past performance is not an indicator of future results.
My opinions and research are my own and do not constitute financial advice in any way whatsoever.
Nothing published by me constitutes an investment recommendation, nor should any data or Content published by me be relied upon for any investment/trading activities.
I strongly recommends that you perform your own independent research and/or speak with a qualified investment professional before making any financial decisions.
Any ideas to further improve this indicator are welcome :)
Credit: QuantNomad for his script idea on custom screener
Mean Reversion Channel - (fareid's MRI Variant)Description :
Mean Reversion Channel objective, based on Mean Reversion theory ( everything has a tendency to revert back to its mean), is to help visualizing:
Inner Channel -> Dynamic Support and Resistance
Outer Channel -> Overbought/Oversold Zone which may signal consolidation phase or potential reversal due to unsustainable move
Details on some of the filtering type used for mean calculation can be read in Ehlers Technical Papers: "Swiss Army Knife Indicator" and/or his book "Cybernetics Analysis for Stock and Futures"
Disclaimer:
These study scripts was built only to test/visualize an idea to see its viability and if it can be used to optimize existing strategy.
Any ideas to further improve this indicator are welcome :)
Spread Entry StrengthThis is an overlay indicator showing a strong potential for entry into an option spread trade.
2 background shadings will occur:
The background will shade blue if the ticker is prime for a Bullish Call spread.
The background will shade purple if the the ticker is prime for a Bearish Put spread.
In theory, if the SE Strength is at one of the extremes of the Bear or Bull side, then a spread is prime for entry.
To calculate this, 8 conditions receive a 1 or zero dependent on whether the condition is true (1) or false (0), and then all of those are summed. The primary gist of the strength comes from Nishant's book, or my interpretation thereof, with some additives that limits what I need to review (such as condition 8 below.)
The 8 Bull Conditions are:
1) Bollinger Bands are outside of the Keltner Channels
2) ADX is trending up
3) RSI is trending up
4) -DI is trending down
5) RSI is under 30
6) Price is below the lower Keltner Channel
7) Price is between the lower Bollinger Band and the Bollinger basis.
8) Price at one point within the last 5 bars was below the lower Bollinger Band
The 8 Bear Conditions are the inverse conditions (except the first):
1) Bollinger Bands are outside of the Keltner Channels
2) ADX is trending down
3) RSI is trending down
4) +DI is trending up
5) RSI is over 70
6) Price is above the upper Keltner Channel
7) Price is between the upper Bollinger Band and the Bollinger basis.
8) Price at one point within the last 5 bars was above the upper Bollinger Band
There is a "market noise" filter that will filter out shading when another market move is considered, i.e. if you don't want to see the potential trade when QQQ moves more than 1% then do the following in the settings:
Check "Market Filter"
Enter QQQ in the "Market Ticker To Use"
Enter 1 in the "Market Too Hot Level"
Press Ok
Obviously, the same holds true for the "Market Too Cool Filter."
Spread Entry Balance of PowerThis is a bar chart showing the strength of a potential option spread entry using 8 conditions for each side of a trade, bull or bear.
In theory, if the SE Strength (Spread Entry Strength) is at one of the extremes of the Bear or Bull side, then a spread is prime for entry.
To calculate this, the 8 conditions receive a 1 or zero dependent on whether the condition is true (1) or false (0), and then all of those are summed. The primary gist of the strength comes from Nishant's book, or my interpretation thereof, with some additives that limits what I need to review (such as condition 8 below.)
The 8 Bull Conditions are:
1) Bollinger Bands are outside of the Keltner Channels
2) ADX is trending up
3) RSI is trending up
4) -DI is trending down
5) RSI is under 30
6) Price is below the lower Keltner Channel
7) Price is between the lower Bollinger Band and the Bollinger basis.
8) Price at one point within the last 5 bars was below the lower Bollinger Band
The 8 Bear Conditions are the inverse conditions (except the first), and the conditions are given a negative disposition (meaning they sum to -8 :)):
1) Bollinger Bands are outside of the Keltner Channels
2) ADX is trending down
3) RSI is trending down
4) +DI is trending up
5) RSI is over 70
6) Price is above the upper Keltner Channel
7) Price is between the upper Bollinger Band and the Bollinger basis.
8) Price at one point within the last 5 bars was above the upper Bollinger Band
Square Root Moving AverageAbstract
This script computes moving averages which the weighting of the recent quarter takes up about a half weight.
This script also provides their upper bands and lower bands.
You can apply moving average or band strategies with this script.
Introduction
Moving average is a popular indicator which can eliminate market noise and observe trend.
There are several moving average related strategies used by many traders.
The first one is trade when the price is far from moving average.
To measure if the price is far from moving average, traders may need a lower band and an upper band.
Bollinger bands use standard derivation and Keltner channels use average true range.
In up trend, moving average and lower band can be support.
In ranging market, lower band can be support and upper band can be resistance.
In down trend, moving average and upper band can be resistance.
An another group of moving average strategy is comparing short term moving average and long term moving average.
Moving average cross, Awesome oscillators and MACD belong to this group.
The period and weightings of moving averages are also topics.
Period, as known as length, means how many days are computed by moving averages.
Weighting means how much weight the price of a day takes up in moving averages.
For simple moving averages, the weightings of each day are equal.
For most of non-simple moving averages, the weightings of more recent days are higher than the weightings of less recent days.
Many trading courses say the concept of trading strategies is more important than the settings of moving averages.
However, we can observe some characteristics of price movement to design the weightings of moving averages and make them more meaningful.
In this research, we use the observation that when there are no significant events, when the time frame becomes 4 times, the average true range becomes about 2 times.
For example, the average true range in 4-hour chart is about 2 times of the average true range in 1-hour chart; the average true range in 1-hour chart is about 2 times of the average true range in 15-minute chart.
Therefore, the goal of design is making the weighting of the most recent quarter is close to the weighting of the rest recent three quarters.
For example, for the 24-day moving average, the weighting of the most recent 6 days is close to the weighting of the rest 18 days.
Computing the weighting
The formula of moving average is
sum ( price of day n * weighting of day n ) / sum ( weighting of day n )
Day 1 is the most recent day and day k+1 is the day before day k.
For more convenient explanation, we don't expect sum ( weighting of day n ) is equal to 1.
To make the weighting of the most recent quarter is close to the weighting of the rest recent three quarters, we have
sum ( weighting of day 4n ) = 2 * sum ( weighting of day n )
If when weighting of day 1 is 1, we have
sum ( weighting of day n ) = sqrt ( n )
weighting of day n = sqrt ( n ) - sqrt ( n-1 )
weighting of day 2 ≒ 1.414 - 1.000 = 0.414
weighting of day 3 ≒ 1.732 - 1.414 = 0.318
weighting of day 4 ≒ 2.000 - 1.732 = 0.268
If we follow this formula, the weighting of day 1 is too strong and the moving average may be not stable.
To reduce the weighting of day 1 and keep the spirit of the formula, we can add a parameter (we call it as x_1w2b).
The formula becomes
weighting of day n = sqrt ( n+x_1w2b ) - sqrt ( n-1+x_1w2b )
if x_1w2b is 0.25, then we have
weighting of day 1 = sqrt(1.25) - sqrt(0.25) ≒ 1.1 - 0.5 = 0.6
weighting of day 2 = sqrt(2.25) - sqrt(1.25) ≒ 1.5 - 1.1 = 0.4
weighting of day 3 = sqrt(3.25) - sqrt(2.25) ≒ 1.8 - 1.5 = 0.3
weighting of day 4 = sqrt(4.25) - sqrt(3.25) ≒ 2.06 - 1.8 = 0.26
weighting of day 5 = sqrt(5.25) - sqrt(4.25) ≒ 2.3 - 2.06 = 0.24
weighting of day 6 = sqrt(6.25) - sqrt(5.25) ≒ 2.5 - 2.3 = 0.2
weighting of day 7 = sqrt(7.25) - sqrt(6.25) ≒ 2.7 - 2.5 = 0.2
What you see and can adjust in this script
This script plots three moving averages described above.
The short term one is default magenta, 6 days and 1 atr.
The middle term one is default yellow, 24 days and 2 atr.
The long term one is default green, 96 days and 4 atr.
I arrange the short term 6 days to make it close to sma(5).
The other twos are arranged according to 4x length and 2x atr.
There are 9 curves plotted by this script. I made the lower bands and the upper bands less clear than moving averages so it is less possible misrecognizing lower or upper bands as moving averages.
x_src : how to compute the reference price of a day, using 1 to 4 of open, high, low and close.
len : how many days are computed by moving averages
atr : how many days are computed by average true range
multi : the distance from the moving average to the lower band and the distance from the moving average to the lower band are equal to multi * average true range.
x_1w2b : adjust this number to avoid the weighting of day 1 from being too strong.
Conclusion
There are moving averages which the weighting of the most recent quarter is close to the weighting of the rest recent three quarters.
We can apply strategies based on moving averages. Like most of indicators, oversold does not always means it is an opportunity to buy.
If the short term lower band is close to the middle term moving average or the middle term lower band is close to the long term moving average, it may be potential support value.
References
Computing FIR Filters Using Arrays
How to trade with moving averages : the eight trading signals concluded by Granville
How to trade with Bollinger bands
How to trade with double Bollinger bands
Tobacco ChannelThese bands use KAMA for the basis, build Keltner Channels that you might expect high probability reversals to occur from.
I named it Tobacco Channel because I found its idea in Cuban's Reversion Bands — Indicator by cubantobacco.
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
EMA Keltner Channel 1D100/200 EMAs, along with Keltner Bands based off them. Colors correspond to actions you should be ready to take in the area. Use to set macro mindset.
Uses the security function to display only the 1D values.
Red= Bad
Orange = Not as Bad, but still Bad.
Yellow = Warning, might also be Bad.
Purple = Dip a toe in.
Blue = Give it a shot but have a little caution.
Green = It's second mortgage time.
Double Donchian, Double Keltner, no-overlayThis is rather an educational script on how you can put multiple channels on the chart in a relatively non-confusing manner. Because it can be done doesn't mean you should do it (especially as a beginner). However, you might want to use maybe two.
Normally, TradingView would put them all over each other causing chart to lose readability. By a few clever conditions, higher timeframe KC does draw on the chart only if it is outside lower timeframe KC. Lower timeframe Donchian is 99,5% outside both Keltner Channels, and it will not show if it overlaps at any point. Higher TF Donchian ale two lines but no background.
Keltner channel 1 uses original settings
Keltner channel 2 uses TradingView default settings
Donchian 1 uses TradingView default
Donchian 2 uses 60 periods used by Turtles if I remember it correct
Have a great trade!
Keltner Channel AlertSimple Keltner Indicator with a custom alert.
The alert should ring when any Band has the price crossing.
Elder-Keltner-Impulse-MA Study by STTAStudy Name: Elder-Keltner-Impulse-MA Study by STTA
English:
This indicator shows in a combined way three Keltner Channels with EMA21 and multiplier 1,3,5, the Elder Impulse System and a short EMA 11 to recognize the valuation zone, according to various strategies of Dr. Alexander Elder.
This indicator can be applied on all symbols.
Inputs: displayed symbol
Settings:
Elder Force Index (EFI)
-EIF MACD Length
-EIF MACD Slow Length
-EIF MACD Signal Length
-EIF EMA Length
EMA Short Length
Keltner Channels (KC)
-KC MA Length
-KC Multiplier1-3
-KC Source
-KC Type
-KC Bands Style
Outputs:
-EIF Bar Colors
-KC Upper1-3 channel upper and lower Lines
-MA Short
CBG Keltner ChannelsHere's an updated version of the CBG Keltner Channel indicator.
1. Added a new option for painting bars and backgrounds.
- Option 5 will paint up bars if the midline moving average is moving up and price is above the control moving average. It will paint down bars if the opposite is true. If neither are true, it will paint a neutral color. The neutral color defaults to gray bars and no color for backgrounds.
2. I've also added a 3rd band.
The chart here shows the default settings except for the inner band which is turned off.
mForex - Keltner channel + EMA Scalping systemTransaction setup parameters
Time frame: M5, M15
Currency pair: EUR / USD , GPB / USD
Transaction: London, USA
Number of orders / day: 10 - 15 orders
Trading strategies
=== BUY ===
Candles close on the upper Keltner
EMA10 crosses the upper Keltner range from below
Stop loss in the middle band or up to 12 pips
Profit target: 15-25 pips
=== SELL ===
Candles close below Keltner below
EMA10 crosses the Keltner range below from above
Stop loss in the middle band or up to 12 pips
Profit target: 15-25 pips
