Rolling Linear Regression ChannelCompute a rolling linear regression channel, the value of the bands at a precise point in time is equal to the last value of the corresponding extremity of a regression channel of equal length and mult at that point. The bands are made by adding/subtracting the RMSE of a linear regression to a least-squares moving average.
Settings
Length : Period of the indicator
Mult : Multiplication factor for the RMSE, determine the distance between the upper and lower extremities
Src : Input data for the indicator
Gradient : Determine if the area within the bands must be filled with a gradient, a color closer to blue indicates that src is close/superior to the upper band while a color closer to red indicates that src is close/inferior to the lower band. True by default, if false no filling is applied.
Usage
The indicator can be used like any other band indicator. Because the indicator makes use of the LSMA we can expect the bands to be more reactive to price changes, the indicator can also be more accurate when the bands must act as support and resistance as long as the underlying trend in the price is linear.
In blue/red the indicator, with the Bollinger bands in dark green with the same length/mult settings.
Since the indicator is derived from the linear regression channel indicator it can also be used to look at how drastically the regression channels changed over time, that is if the bands look linear, then it implies that the channel didn't change a lot with the arrival of new closing prices.
Details
As said the last value of each band is equal to the last value of the corresponding extremity of a linear regression channel.
In blue/red the indicator, with the linear regression channel in orange with the same length/mult settings, the last circle of the upper band is equal to the last value of the upper regression channel, same thing with the lower band, you can see this more clearly using the replay mode.
Notes
Thx to the twitter fans for their feedback and support, note that I often ask about feedback or about what kind of indicators I should do next on Twitter.
Bands
Trend Risk Indicator (TRI)The Trend Risk Indicator is a simple bands indicator made of 2 custom averages of candlesticks ranges calculated within the variable “ BandBars ” period.
Upper and lower channel bands width can be adjusted with the “ Deviation ” variable, which act as a simple factor to enlarge the spread between them.
When Close crosses over the upper band, it is a bearish signal and candlesticks are painted in Red.
When Close crosses under the lower band, it’s a bullish signal and candlesticks are painted in Green.
One of the most interesting indicators for 1 minute scalping. Recommended to use on Renko bars.
*drag to chart and pin to scale, also remove borders from candlesticks.
Periodic EllipsesThe following script periodically plot ellipses to the chart, where the maximum height of the ellipses is determined by the price high of the user-selected time frame while the price low determines the minimum height of the ellipses.
The selected time frame affects the frequency at which the ellipses are plotted, for example, a selected time frame of 1 week will plot an ellipse every week
Note that time frames that are close to the one used in the main chart can return noncircular shapes
Here the main time frame is 15 minutes, while the time frame in the script is 1 hour.
By default the script uses future data, and as such repaint which makes it only useful in offline (non-real time) situations, you can make the script use only past data by deselecting the "repaint" option.
Interpretation And Construction
In terms of usages and interpretation ellipses are similar to bands indicators, as such we can use ellipses in a breakout methodology, where a closing price crossing over the upper bound indicating an uptrend and a closing price crossing under the lower bound indicating a downtrend.
By default, the color of the plots are based on a gradient determined by the position of the closing price relative to the ellipse, with a closing price closer to the upper bound of the ellipse returning a blue color and a closing price closer to the lower bound returning a red color, the intermediate color is violet. When repainting mode is deactivated a blue color indicates an up-trend, while a red color indicates a down-trend, violet colors on the other hand indicate a ranging market.
The ellipses can also determine possible retracements, as such the upper bound of the ellipse can act as a support in an uptrend while the lower bound can act as a resistance in a downtrend.
Construction
Peoples might be interested in the construction of ellipses, this task is not complicated. We can construct circular shapes by using the equation of a semi-circle described as follows:
C = √(1 - x*x)
with 1 ≥ x ≥ -1 , values of x greater than 1 or lower than -1 will return na . In the script, the variable basis creates a line starting at -1 and ending at 1, we then only need to apply the previous equation to this line to have a semi-circle. This semi-circle is in a range of (0,1), so we need to rescale it in a useful range, let's define the highest high of the selected time frame as H and the lowest low as L , the upper and lower bound of the ellipse are calculated as follows:
upper = avg(H,L) + C*(H - avg(H,L))
lower = avg(H,L) - C*(avg(H,L) - L)
Summary
A script plotting ellipses has been proposed, we have seen that the signals that can be generated are similar to the one generated by band indicators, note however that the script has not been made to be a serious indicator, it would be more advisable to use regular band indicators instead.
Thx to @freds_view for the question.
ATR_bandCreates lower and upper band on BTCUSD chart based on ATR value of the previous day and daily open of the current day
High-Low BandsThis is a simple but powerful indicator. It calculates (selectable) moving averages separately from high , low and close .
It can be used as support-resistance, trend or volatility indicator.
kaitan Bands
Reference: 200 section kaitan Bands
参考：200区間のkaitan Bands
Changing the Bollinger Band's midline from SMA to EMA is not so good in terms of the standard deviation calculation formula, and it was hard to say that EMABB is an index that can be used by the author in different calculation formulas.
This time, when I came up with the deviation, I came up with a method of weighting the latest deviation like EMA instead of the average and neglecting past deviations, so I made it.
The variation in the calculation result seems to be difficult to handle, so the finished product is the one with smoothed EMA deviation.
ボリンジャーバンドの中線をSMAからEMA変更にするのは標準偏差の計算式上いまいちで、EMABBは作者によって計算式もばらばらで使える指標とは言い難かった。
今回、偏差から求めるときに平均ではなくてEMAのように最新の偏差を重くし過去の偏差を軽視する方法を考え付きましたので、作ってみました。
単純に計算結果のばらつきが大きく扱いづらそうなので、EMA偏差をスムージングしたものを完成品としました。
BTC Mayer Multiple BandsIntroduced by Trace Mayer as a way to gauge the current price of Bitcoin against its long range historical price movements (200 day moving average), the Mayer Multiple highlights when Bitcoin is overbought or oversold in the context of longer time frames.
It's worth noting that as the market becomes larger and less volatile, the peaks are becoming less exaggerated. This is because a 200 day moving average baseline is a static yardstick against an ever growing, more stable, Bitcoin market. We should recalibrate what constitutes the overbought/oversold extremes on this chart accordingly.
Idea by CryptoKea. Original author:
Underworld Hunter + Base ZoneUnderworld Hunter + Base Zone is designed to keep traders out of ranging markets by establishing a "dead zone" between the bands where price may be choppy or trends may be short lived. The original Underworld Hunter from @greenmask9 adapted Bollinger Bands by changing the basis from SMA to the EMA of the EMA of the EMA. This version now allows the user to select which moving average they would like to utilize for the calculation.
If price is outside of the upper bands, price may be bullish. If price is outside the lower bands, price may be bearish.
If price is within the green or red areas of the bands, a trend may be forming.
The system also plots when RSI has become over extended above the thresholds selected (70/20 is the default).
MA Period is the length/period the moving average is calculated with
MA Mode is the type of moving average that will be utilized in the basis calculation
The "Standard MA Calculation" Option changes the basis to calculate the moving average selected in MA Mode only once, instead of 3 times
Deviation 1 and Deviation 2 determine how far the dead zone bands will be from the basis
RSI Period is the length/period the RSI function is calculated with
RSI Extended - High Cutoff is the level RSI must reach to be marked as over extended. Most traders refer to this zone as "Overbought"
RSI Extended - Low Cutoff is the level RSI must reach to be marked as over extended. Most traders refer to this zone as "Oversold"
As many NNFx traders know, overbought and oversold essentially do not exist, though the zones can still be utilized
The remaining options are utilized for specific moving average calculations and are set to what is typically considered as "standard" for their values.
There are many options available for this code. The code has not been optimized but merely compiled. Settings should be adjusted for the instrument(s) you are trading.
Adapted from user @greenmask9
Multiple MA Options Credits to @Fractured and @lejmer
Bits and Pieces from @AlexGrover, @Montyjus, and @Jiehonglim
As always, trade at your own risk.
[e2] Bitcoin Halving Key & AvwapThis indicator shows a Key Level Support & Resistance level and VWAP that reset on your choice of the Bitcoin's halving date.
Optional Key Calculation Mode:
- Start with first (2012) or second (2016) halving date.
- Start with first and reset on the second (Halving to halving mode)
- Start with every next halving simultaneously (Halving + halving mode)
Labels show the Market Capitalization, total minted Bitcoins and Bitcoin's close price on the halving's date.
A maximum of 5 bands calculated using a factor of the anchored VWAP's standard deviation can be displayed.
Note
- The script is designed for Bitcoin markets only.
- Estimated 3rd halving, script will be updated when next halving occurs.
Bitcoin Margin Call Envelopes [saraphig & alexgrover]Bitcoin is the most well known digital currency, and allow two parties to make a transaction without the need of a central entity, this is why cryptocurrencies are said to be decentralized, there is no central unit in the transaction network, this can be achieved thanks to cryptography. Bitcoin is also the most traded cryptocurrency and has the largest market capitalization, this make it one of the most liquid cryptocurrency.
There has been tons of academic research studying the profitability of Bitcoin as well as its role as a safe heaven asset, with all giving mixed conclusions, some says that Bitcoin is to risky to be considered as an hedging instrument while others highlight similarities between Bitcoin and gold thus showing evidence on the usefulness of Bitcoin acting as an hedging instrument. Yet Bitcoin seems to attract more short term speculative investors rather than other ones that would use Bitcoin as an hedging instrument.
Once introduced, cryptocurrencies where of course heavily analyzed by technical analyst, and technical indicators where used by retail as well as institutional investors in order to forecast the future trends of bitcoin. I never really liked the idea of designing indicators that specifically worked for only one type of market and ever less on only one symbol. Yet the user @saraphig posted in Feb 20 an indicator called " Margin Call MovingAverage " who calculate liquidation price by using a volume weighted moving average. It took my attention and we decided to work together on a relatively more complete version that would include resistances levels.
I believe the proposed indicator might result useful to some users, the code also show a way to restrict the use of an indicator to only one symbol (line 9 to 16).
The Indicator
The indicator only work on BTCUSD, if you use another symbol you should see the following message:
The indicator plot 6 extremities, with 3 upper (resistance) extremities and 3 lower (support) extremities, each one based on the isolated margin mode liquidation price formula:
UPlp = MA/Leverage × (Leverage+1-(Leverage*0.005))
for upper extremities and:
DNlp = MA × Leverage/(Leverage+1-(Leverage*0.005))
for lower extremities.
Length control the period of the moving averages, with higher values of length increasing the probability of the price crossing an extremity. The Leverage's settings control how far away their associated extremities are from the price, with lower values of Leverage making the extremity farther away from the price, Leverage 3 control Up3 and Dn3, Leverage 2 control Up2 and Dn2, Leverage 1 control Up1 and Dn1, @saraphig recommend values for Leverage of either : 25, 20, 15, 10 ,5.
You can select 3 different types of moving average, the default moving average is the volume weighted moving average (VWMA), you can also choose a simple moving average (SMA) and the Kaufman adaptive moving average (KAMA).
Based on my understanding (which could be wrong) the original indicator aim to highlight points where margin calls might have occurred, hence the name of the indicator.
If you want a more "DSP" like description then i would say that each extremity represent a low-pass filter with a passband greater than 1 for upper extremities and lower than 1 for lower extremities, unlike bands indicators made by adding/subtracting a volatility indicator from another moving average this allow to conserve the original shape of the moving average, the downside of it being the inability to show properly on different scales.
here length = 200, on a 1h tf, each extremities are able to detect short-terms tops and bottoms. The extremity become wider when using lower time-frames.
You would then need to increase the Leverages settings, i recommend a time frame of 1h.
Conclusion
I'am not comfortable enough to make a conclusion, as i don't know the indicator that well, however i liked the original indicator posted by @saraphig and was curious about the idea behind it, studying the effect of margin calls on market liquidity as well as making indicators based on it might result a source of inspiration for other traders.
A big thanks to @saraphig who shared a lot of information about the original indicator and allowed me to post this one. I don't exclude working with him/her in the future, i invite you to follow him/her:
www.tradingview.com
Thx for reading and have a nice weekend! :3
Zero Lag Keltner ChannelsThis is Keltner Channelz (KC) with Zero Lag Moving Average (ZLMA as base). It is smoother and has less lag than the original (EMA/SMA) variant.
It also can be used as a trend indicator and trend confirmation indicator. The upper and lower bands are green if it is an up trend, and red if a down trend. If both have the same color it is a stronger trend.
Minkowski Distance Period Linear Regression BandsHello, this script was created by using Linear Regression Bands Function with variable Function Minkowski Distance Adaptive Period.
Function Linear Regression Bands :
Minkowski Distance Function Original Script by RicardoSantos :
Functions saved from overloads . And suitable for mutable variable periods.
Regards.
Exponential Deviation Bands [ChuckBanger]This is Exponential Deviation Bands. It is a price band indicator based on exponential deviation rather than the more traditional standard deviation, as you find in the well-known Bollinger Bands calculation. As compared to standard deviation bands, exponential deviation bands apply more weight to recent data and generate fewer breakouts. There fore it is a much better tool to identifying trends.
One strategy on the daily can be
Buy next bar if closing price crosses below the lower bands
Sell if price is equal to the current value of the upper bands
Ehlers Fractal Adaptive Moving Average with Bands [Bitcoinduke]FRAMA – What is it?
Fractal Adaptive Moving Average Technical Indicator ( FRAMA ) was developed by John Ehlers, code was implemented by TradingView user Shizaru. I've updated it to Pine Script 4 and added Bands Extension.
This indicator is constructed based on the algorithm of the Exponential Moving Average , in which the smoothing factor is calculated based on the current fractal dimension of the price series.
Advantages:
possibility to follow strong trend movements
determine moments of price consolidation ( FRAMA sufficiently slow down at these moments)
FRAMA + Bands
The FRAMA serves as a base for the Upper and Lower Bands which are used as a way to measure volatility by observing the relationship between the Bands and price. Typically the Upper and Lower Bands are set to two standard deviations away from the FRAMA ; however it should be adjusted depending on the task.
Bollinger Bands Trend Model-BuschiEnglish
In general, Bollinger Bands are used as an indicator to visualize the "reversion to the mean". However, in this model, by using smaller variable values (default: 10 time intervals instead of 20, 1 standard deviation instead of 2), they are used as an trend following indicator. Two consecutive closes above the upper band form a buy signal (symbol 'B' above bar) which is reversed by two consecutive closes below the lower band (symbol 'S' under bar) and vice versa. The corresponding buying (green) and selling (red) zones are coloured between the bands.
Deutsch
Im Allgemeinen werden Bollinger-Bänder als ein Indikator verwendet, um die "Rückkehr zum Mittelwert" zu visualisieren. In diesem Modell werden sie durch kleine Variablen-Werte (Standardwert: 10 Zeitintervalle anstatt 20, 1 Standardabweichung anstatt 2) jedoch als Trendfolge-Indikator verwendet. Zwei aufeinanderfolgende Schlusskurse über dem oberen Band (Symbol 'B' über dem Balken) bilden ein Kaufsignal, das durch zwei aufeinanderfolgende Schlusskurse unter dem unteren Band (Symbol 'S' unter Balken) umgekehrt wird. Gleiches gilt umgekehrt. Die entsprechenden Kauf-Zonen (grün) und Verkauf-Zonen (rot) werden zwischen den Bändern eingefärbt.
Variable Index Dynamic Average (VIDYA) BandsThis adds volatility bands to the Variable Index Dynamic Average (VIDYA). The bands are calculated using the exponential moving average of the standard deviation of the VIDYA.
Thanks to everget for programming the VIDYA for tradingview.
Extended Recursive Bands - Maximum Efficiency With Extra OptionsIntroducing A New Calculation For Efficient Bands Calculation !
Here it is ! The Recursive Bands Indicator, an indicator specially created to be extremely efficient, i think you already know that calculation time is extra important in algorithmic trading, and this is the principal motivation for the creation of the proposed indicator. Originally described in my paper "Pierrefeu, Alex (2019): Recursive Bands - A New Indicator For Technical Analysis" , the indicator framework has been widely used in my previous uploaded indicators, however it would have been a shame to not upload it, however user experience being a major concern for me, i decided to add extra options, which explain the term "extended".
On The Indicator Calculation
You can skip this part if it doesn't interest you. The calculation of the indicator is based on recursion, but i want to explain the mathematical formula described in the paper.
I've seen some users trying to remake it from the calculations, however there was always something weird, and i understand, mathematical notations are always a bit weird, even myself don't always write them correctly/understand them, however this one is relatively simple to understand.
First lets explain each elements of the calculation :
α = smoothing constant, or 2/(length+1)
max/min = maximum and minimum function, max return the greatest input value while min return the lowest one, for example :
max(4,2) = 4 while min(4,2) = 2
the "||" notation mean taking the absolute value, for example : |-1| = abs(-1) = 1
The calculation after the max/min function is called the correction factor, and is the core of the indicator. The last two variables are just here to provide an initial value for upper and lower, basically when we start our calculations we will assign the value of the closing price for upper and lower.
The motivation behind using a smoothing constant in range of (0,1) was to tell the reader that the indicator is easily made adaptive, this is what i did on my adaptive trailing stop indicator by using the efficiency ratio as smoothing variable, the user can use 1/length instead of the provided calculation for alpha.
If you interested on the indicator main logic, it is actually really simple, by using upper = max(price,upper) and lower = min(price,lower) we would get the maximum/minimum price value at time t , therefore upper can only be greater or equal than its precedent value, while lower can only be lower or equal than its precedent value, in order to fix that we subtract/sum upper/lower with a value, this allow the upper band to be lower than its precedent value and lower to be greater than its precedent value, this is the role of the correction factor.
The Indicator
The indicator display one upper and one lower band, every common usages applied to bands indicators such as support/resistance, breakout, trailing stop...etc, can also be applied to this one. length control how reactive the bands are, higher values of length will make the bands cross the price less often.
In order to provide more flexibility for the user i added the option to use various methods for the calculation of the indicator, therefore the indicator can use the average true range, standard deviation, average high-low range, and one totally exclusive method specially designed for this indicator.
Classic Method
This option make the indicator use its classical calculation, this is the most efficient method of all.
Atr Method (atr)
This method use the average true range as correction factor, notice that lower values of length can still produce wide band.
Standard Deviation Method (stdev)
This method use a biased estimate of the standard deviation as correction factor.
The method produce smoother bands that converge more slowly toward the price in comparison with the classic correction factor.
Average High-Low Range Method (ahlr)
This method use the average of the high-low range as correction factor, extremely similar to the average true range.
Rising Falling Volatility (rfv) Method
A new method created for this indicator, this correction factor use the absolute prices changes when price value is greater/lower than any length past values of the price, this allow to have more boxy shaped bands, work best with greater values of length.
The bands can be in contact with this method, a possible fix in the future.
Conclusion
The recursive band indicator is one of my greatest indicators in my opinion (i would love to have yours), as you can see the idea behind it is extremely simple and allow for a super efficient band indicator, which was the original motivation behind it, in order to provide more fun for the users i also added more option for the correction factor, this allow the user to be creative and not get stuck with the original calculation.
Like the trend step indicator family we have almost ended our series on the recursive band framework, 1 more trailing stop will be added in the future, and then we'll have more "boring" stuff until i find something cool again, it shouldn't be long ;)
Thanks for reading !
[RS]Signal to Noise BandsEXPERIMENTAL:
Bands using Signal to Noise Calculation.
The bands calculation is similar to bolingers in the aspect that both use standard deviation.
Smart Envelope - Running Away From The TrendIntroduction
Envelopes indicators consist in displaying one upper and one lower extremity on the price chart. They are most of the time built by adding/subtracting a volatility estimator (rolling stdev, atr, range...etc) to a central tendency estimator (SMA, EMA, LSMA...etc) . Their interpretation is often subject to debate amongst technical analyst, some will use a support and resistance methodology, where price will start a downtrend once it cross the upper extremity, and a down trend once it cross the lower one. Others will prefer a breakout methodology, where price will reach higher highs once it cross the upper extremity, and lower lows when it cross the lower one. Because of price non stationarity its hard to select the best methodology, the support and resistance one will mostly work on ranging markets, while the breakout methodology mostly work on trending ones.
Therefore new methods where proposed, instead of using moving averages with a high lag, faster filters where used, such as the least squares moving average or zero lag exponential moving average, other band indicators where also created using adaptive filters, but improvements remain relatively low. The most difficult task would be to make extremities with the ability to return accurate support and resistances levels, and today i want to provide a new way to construct such extremities by using the recursive bands framework that allow extremely creative and efficient indicators.
The Main Idea
With classical bands indicators, the upper and lower extremity will still be correlated with the main trend, the problem behind such method is that we can't use a support and resistance methodology with trending markets, the fact that reversals exist tells us that our extremities will always be crossed by the main trend, here is an example :
Here the support is correlated with the main trend, in order for it to be accurate we must assume the trend will go on for ever, and will only detect higher lows, this is what we expect with the orange line, but we can see that a severe down trend totally destroy our plan.
In short we need to give some headroom to our extremities, and thus one extremity can't be correlated with the main trend.
The proposed Indicator
We want to minimize the correlation between the extremities, so if the upper extremity rise, the lower one must fall. This allow to give some headroom and allow the user to anticipate larger movements, this is how bands seeking to give support and resistances points should work.
The indicator has a length setting that control the wideness of the extremities, unlike other indicators low values such as 14 can still create really wide bands, take that into account.
length = 5. Lower length values allow for more motion from the extremities, but does not necessarily involve detecting shorter terms support and resistances levels. The factor setting is not that important, but it allow to return extremities with more motion when high, and really wide bands when below 1 and greater than 0.
Central Tendency Estimator
Something fun with the recursive band framework is that the bands are no longer based on the central tendency estimator but its the central tendency estimator who is based on the bands. The central tendency estimator can also provide support and resistances points with the price, like classical moving averages, altho its lack of motion is this time a downside.
Conclusion
Altho the extremities are more accurate than other band indicators, the problem remain the same, larger trend will always break the extremities and continue creating higher/lower highs/lows, at this point our stop loss would certainly be triggered. This is a huge downsides of contrarian strategy, we sure might anticipate reversals earlier, but we are exposed to larger price movements, therefore the risk is extreme.
But the proposed methodology might still prove useful to develop more robust support and resistances levels based on envelopes indicators.
Thanks for reading !
R100 Volatility Combo Bands v1 (*v*)The Volatility Combo Bands are made from 4 separate volatility bands- two Bollinger Bands (10 and 20 period) and two Price Headley Acceleration Bands (10 and 20 period). The Volatility Combo Bands plot the innermost upper and lower points from these bands and then plots a mid-line. By default, only the standard 20 period Bollinger Bands and Combo Bands with mid-line are displayed, but can be configured however you want.
Try it out- see squeezes earlier, ride the bands earlier in trending markets, trade pullbacks to the Combo Bands and mid-line, trade the range of the band or use them to help identify potential support and resistance levels. Hopefully they can add another dimension to identifying volatility contraction patterns or whatever you currently use these things for!
I hope you get some value out of it. Only conditions of use are that if you improve it, let me know and if you publish something that uses it, don't hide the code! Enjoy!
Code for the Price Headley Acceleration Bands pinched and modified from LazyBear - thankyou.
Price-Curve ChannelIntroduction
Although many will use lines in order to make support and resistances, others might use curves, this is logical since trends are not always linear. Therefore it was also important to take this into consideration, and when i published the price-line channel indicator, i already started a curved version of it. Therefore i propose this new indicator based on the recursive bands framework that allow to return curved support and resistances. The benefits of this indicator are : a totally stable approach, user friendly, and extremities able to converge faster toward the price.
The Indicator
The indicator is way faster than the price-line channel one, this is due to the fast convergence toward the price of the extremities. Length control the reactivity of the indicator, while mult is more related to the rate of convergence, values of mult lower than 1 will make the curve converge slower,
mult = .5
Higher values of mult will make the extremities converge faster toward the price.
mult = 2
Unlike the price-line channel indicator this one is directly "readjusted", this is due to the fact that the extremities are no longer linear, of course a "perfectly" curved version could come in an update, but for the moment it wasn't really a necessity.
Comparison With Price-Line
The fact that the extremities converge faster toward the price allow to possibly capture more tops/bottoms/retracements. However the extremities of both indicator have the same behavior regarding their accuracy, for example the upper extremity have a higher chance to detect a retracement when on a downtrend, while the lower extremity have higher chance to detect a retracement while on a up-trend.
On The Indicator Construction
The recursive bands framework is the core of the indicator, it is important to use it. The curved effect is given by multiplying the correction factor by the barssince function, therefore the correction factor is no longer constant which in return allow for a non linear output.
The size is divided by the square of length in order to keep a certain logic between the output and the length period.
Conclusion
The recursive bands framework prove again to be quite interesting, lot of indicators can be made using it, i only posted a fraction of what can be done with it, which make the recursive bands indicator one of the best indicators i ever made in my opinion.
The proposed indicator is stable, and don't require nightmarish manipulations (unlike the linear channels indicator), its ability to detect possible support and resistances points, although subjective, remain a feature of the indicator. The use of recursion make the indicator efficient. I hope the indicator find some use in the community.
Thanks for reading !
Linear version.
Note
Respect the house rules, always request permission before publishing open source code. This is an original work, requesting permission is the least you can do.
I apologize for any grammatical/orthographic error in this post.
Price-Line Channel - A Friendly Support And Resistance IndicatorIntroduction
Lines are the most widely used figures in technical analysis, this is due to the linear trends that some securities posses (daily log SP500 for example), support and resistances are also responsible for the uses of lines, basically linear support and resistances are made with the assumption that the line connecting two local maximas or minimas will help the user detect a new local maxima or minima when the price will cross the line.
Technical indicators attempting to output lines have always been a concern in technical analysis, the mostly know certainly being the linear regression, however any linear models would fit in this category. In general those indicators always reevaluate their outputs values (repainting), others non repainting indicators returning lines are sometimes to impractical to set-up. This is what has encouraged me to make a simpler indicator based on the framework used in the recursive bands indicator that i published.
The proposed indicator aim to be extremely flexible and easy to use while returning linear support and resistances, an option that allow readjustment is also introduced, thus allowing for a "smarter" indicator.
The Indicator
The indicator return two extremities, the upper one aim to detect resistance points while the lower one aim to detect support points. The length setting control the steepness of the line, with higher values of length involving a lower slope, this make the indicator less reactive and interact with the price less often.
The name "price-line" comes from the fact that the channel is dependent on its own interaction with the price, therefore a breakout methodology can also be used, where price is up-trending when crossing with the upper extremity and down trending when crossing with the lower one.
Readjusted Option
The line steepness can be readjusted based on the market volatility, it make more sense for the line to be more steep when the market is more volatile, thus making it converge faster toward the price, this of course is done at the cost of some linearity. This is achieved by checking the "readjustment" option. The effects can be shown on BTCUSD, below the indicator without the readjusted option :
when the "readjustment" option is checked we have the following results :
The volatile down movement on BTCUSd make the upper extremity converge faster toward the price, this option can be great for volatile markets.
Conclusion
The recursive bands indicator prove to be an excellent framework that allow for the creation of lots of indicators, the proposed indicator is extremely efficient and provide an easy solution for returning linear support and resistances without much drawbacks, the readjusted option allow the indicator to adapt to the market volatility at the cost of linearity.
The performance of the indicator is relative to the motion of the price, however the indicator show signs of returning accurate support and resistances points. I hope the indicator find its use in the community.
Thanks for reading !
Note
Respect the house rules, always request permission before publishing open source code. This is an original work, requesting permission is the least you can do.
