Correlated ATR Bands | AdulariHow do I use it?
Never use this indicator as standalone trading signal, it should be used as confluence.
It is highly recommended to use this indicator on the 15m timeframe and above, try experimenting with the inverse feature and multipliers as well.
When the price is above the moving average this shows the bullish trend is strong.
When the price is below the moving average this shows the bearish trend is strong.
When the moving average is purple, the trend is bullish , when it is gray, the trend is bearish.
When price is above the upper band this may indicate a bearish reversal.
When price is below the lower band this may indicate a bullish reversal.
Features:
Purple line for bullish trend and gray line for bearish trend.
Custom formula combining an ATR and Hull MA to clearly indicate trend strength and direction.
Unique approach to moving averages and bands by taking the average of 2 types of MA's combined with custom ATR's, then multiplying these by correlation factors.
Bands to indicate possible trend reversals when price crosses them.
How does it work?
1 — ATR value is calculated, then the correlation between the source and ATR is calculated.
2 — Final value is calculated using the following formula:
correlation * atr + (1 - correlation) * nz(atr , atr)
3 — Moving average is calculated with the following formula:
ta.hma((1-(correlation/100*(1+weight/10)))*(ta.sma(source+value, smoothing)+ta.sma(source-value,smoothing))/2,flength)
4 — Bands calculation using multipliers.
Regressions
Correlated ATR MA | AdulariHow do I use it?
Never use this indicator as standalone trading signal, it should be used as confluence.
When the price is above the moving average this shows the bullish trend is strong.
When the price is below the moving average this shows the bearish trend is strong.
When the moving average is purple, the trend is bullish, when it is gray, the trend is bearish.
Features:
Purple line for bullish trend and gray line for bearish trend.
Custom formula combining an ATR and Hull MA to clearly indicate trend strength and direction.
Unique approach to moving averages by taking the average of 3 types of MA's combined with custom ATR's.
How does it work?
1 — ATR value is calculated, then the correlation between the source and ATR is calculated.
2 — Signal value is calculated from the difference between the previous source and ATR values.
3 — Final value is being calculated using the following formula:
cor * target + (1 - cor) * nz(atr , target)
4 — Moving average is calculated by getting the average of 3 values: a normal HMA, HMA plus final value, and HMA minus final value.
WaveTrend 3D█ OVERVIEW
WaveTrend 3D (WT3D) is a novel implementation of the famous WaveTrend (WT) indicator and has been completely redesigned from the ground up to address some of the inherent shortcomings associated with the traditional WT algorithm.
█ BACKGROUND
The WaveTrend (WT) indicator has become a widely popular tool for traders in recent years. WT was first ported to PineScript in 2014 by the user @LazyBear, and since then, it has ascended to become one of the Top 5 most popular scripts on TradingView.
The WT algorithm appears to have origins in a lesser-known proprietary algorithm called Trading Channel Index (TCI), created by AIQ Systems in 1986 as an integral part of their commercial software suite, TradingExpert Pro. The software’s reference manual states that “TCI identifies changes in price direction” and is “an adaptation of Donald R. Lambert’s Commodity Channel Index (CCI)”, which was introduced to the world six years earlier in 1980. Interestingly, a vestige of this early beginning can still be seen in the source code of LazyBear’s script, where the final EMA calculation is stored in an intermediate variable called “tci” in the code.
█ IMPLEMENTATION DETAILS
WaveTrend 3D is an alternative implementation of WaveTrend that directly addresses some of the known shortcomings of the indicator, including its unbounded extremes, susceptibility to whipsaw, and lack of insight into other timeframes.
In the canonical WT approach, an exponential moving average (EMA) for a given lookback window is used to assess the variability between price and two other EMAs relative to a second lookback window. Since the difference between the average price and its associated EMA is essentially unbounded, an arbitrary scaling factor of 0.015 is typically applied as a crude form of rescaling but still fails to capture 20-30% of values between the range of -100 to 100. Additionally, the trigger signal for the final EMA (i.e., TCI) crossover-based oscillator is a four-bar simple moving average (SMA), which further contributes to the net lag accumulated by the consecutive EMA calculations in the previous steps.
The core idea behind WT3D is to replace the EMA-based crossover system with modern Digital Signal Processing techniques. By assuming that price action adheres approximately to a Gaussian distribution, it is possible to sidestep the scaling nightmare associated with unbounded price differentials of the original WaveTrend method by focusing instead on the alteration of the underlying Probability Distribution Function (PDF) of the input series. Furthermore, using a signal processing filter such as a Butterworth Filter, we can eliminate the need for consecutive exponential moving averages along with the associated lag they bring.
Ideally, it is convenient to have the resulting probability distribution oscillate between the values of -1 and 1, with the zero line serving as a median. With this objective in mind, it is possible to borrow a common technique from the field of Machine Learning that uses a sigmoid-like activation function to transform our data set of interest. One such function is the hyperbolic tangent function (tanh), which is often used as an activation function in the hidden layers of neural networks due to its unique property of ensuring the values stay between -1 and 1. By taking the first-order derivative of our input series and normalizing it using the quadratic mean, the tanh function performs a high-quality redistribution of the input signal into the desired range of -1 to 1. Finally, using a dual-pole filter such as the Butterworth Filter popularized by John Ehlers, excessive market noise can be filtered out, leaving behind a crisp moving average with minimal lag.
Furthermore, WT3D expands upon the original functionality of WT by providing:
First-class support for multi-timeframe (MTF) analysis
Kernel-based regression for trend reversal confirmation
Various options for signal smoothing and transformation
A unique mode for visualizing an input series as a symmetrical, three-dimensional waveform useful for pattern identification and cycle-related analysis
█ SETTINGS
This is a summary of the settings used in the script listed in roughly the order in which they appear. By default, all default colors are from Google's TensorFlow framework and are considered to be colorblind safe.
Source: The input series. Usually, it is the close or average price, but it can be any series.
Use Mirror: Whether to display a mirror image of the source series; for visualizing the series as a 3D waveform similar to a soundwave.
Use EMA: Whether to use an exponential moving average of the input series.
EMA Length: The length of the exponential moving average.
Use COG: Whether to use the center of gravity of the input series.
COG Length: The length of the center of gravity.
Speed to Emphasize: The target speed to emphasize.
Width: The width of the emphasized line.
Display Kernel Moving Average: Whether to display the kernel moving average of the signal. Like PCA, an unsupervised Machine Learning technique whereby neighboring vectors are projected onto the Principal Component.
Display Kernel Signal: Whether to display the kernel estimator for the emphasized line. Like the Kernel MA, it can show underlying shifts in bias within a more significant trend by the colors reflected on the ribbon itself.
Show Oscillator Lines: Whether to show the oscillator lines.
Offset: The offset of the emphasized oscillator plots.
Fast Length: The length scale factor for the fast oscillator.
Fast Smoothing: The smoothing scale factor for the fast oscillator.
Normal Length: The length scale factor for the normal oscillator.
Normal Smoothing: The smoothing scale factor for the normal frequency.
Slow Length: The length scale factor for the slow oscillator.
Slow Smoothing: The smoothing scale factor for the slow frequency.
Divergence Threshold: The number of bars for the divergence to be considered significant.
Trigger Wave Percent Size: How big the current wave should be relative to the previous wave.
Background Area Transparency Factor: Transparency factor for the background area.
Foreground Area Transparency Factor: Transparency factor for the foreground area.
Background Line Transparency Factor: Transparency factor for the background line.
Foreground Line Transparency Factor: Transparency factor for the foreground line.
Custom Transparency: Transparency of the custom colors.
Total Gradient Steps: The maximum amount of steps supported for a gradient calculation is 256.
Fast Bullish Color: The color of the fast bullish line.
Normal Bullish Color: The color of the normal bullish line.
Slow Bullish Color: The color of the slow bullish line.
Fast Bearish Color: The color of the fast bearish line.
Normal Bearish Color: The color of the normal bearish line.
Slow Bearish Color: The color of the slow bearish line.
Bullish Divergence Signals: The color of the bullish divergence signals.
Bearish Divergence Signals: The color of the bearish divergence signals.
█ ACKNOWLEDGEMENTS
@LazyBear - For authoring the original WaveTrend port on TradingView
@PineCoders - For the beautiful color gradient framework used in this indicator
@veryfid - For the inspiration of using mirrored signals for cycle analysis and using multiple lookback windows as proxies for other timeframes
Oscillating SSL Channel Strategy - 3m & 5m Time FramesThis script is pretty self-explanatory. I will suggest trying some different exits to get that win rate above 20% (I'd start with Take Profit and Stop Loss percentages).
Enjoy!
Nadaraya-Watson: Envelope (Non-Repainting)Due to popular request, this is an envelope implementation of my non-repainting Nadaraya-Watson indicator using the Rational Quadratic Kernel. For more information on this implementation, please refer to the original indicator located here:
What is an Envelope?
In technical analysis, an "envelope" typically refers to a pair of upper and lower bounds that surrounds price action to help characterize extreme overbought and oversold conditions. Envelopes are often derived from a simple moving average (SMA) and are placed at a predefined distance above and below the SMA from which they were generated. However, envelopes do not necessarily need to be derived from a moving average; they can be derived from any estimator, including a kernel estimator such as Nadaraya-Watson.
How to use this indicator?
Overall, this indicator offers a high degree of flexibility, and the location of the envelope's bands can be adjusted by (1) tweaking the parameters for the Rational Quadratic Kernel and (2) adjusting the lookback window for the custom ATR calculation. In a trending market, it is often helpful to use the Nadaraya-Watson estimate line as a floating SR and/or reversal zone. In a ranging market, it is often more convenient to use the two Upper Bands and two Lower Bands as reversal zones.
How are the Upper and Lower bounds calculated?
In this indicator, the Rational Quadratic (RQ) Kernel estimates the price value at each bar in a user-defined lookback window. From this estimation, the upper and lower bounds of the envelope are calculated based on a custom ATR calculated from the kernel estimations for the high, low, and close series, respectively. These calculations are then scaled against a user-defined multiplier, which can be used to further customize the Upper and Lower bounds for a given chart.
How to use Kernel Estimations like this for other indicators?
Kernel Functions are highly underrated, and when calibrated correctly, they have the potential to provide more value than any mundane moving average. For those interested in using non-repainting Kernel Estimations for technical analysis, I have written a Kernel Functions library that makes it easy to access various well-known kernel functions quickly. The Rational Quadratic Kernel is used in this implementation, but one can conveniently swap out other kernels from the library by modifying only a single line of code. For more details and usage examples, please refer to the Kernel Functions library located here:
[MAD] Fibonacci retracementThis is just a Fibonacci Retracement tool with some interactive information based on the actual closing price
How to use:
add the script,
input left bottom with the 1st click,
input top with the 2nd click
Informations you can see than:
Fiblevel (Price) %till_this_point = pricedifference
additional:
Bottom of the fib
Range Up in % + Price-Range
Range Down in %
you can shift the comma with the decimal functions for trading shitcoins as example
if looking into the past, level/price will follow, liveinfo using the close is than hidden
what will follow:
reverse
log/linear
autogrow when range will be wicked
maybe alerts on levels... have to think about how to capture correctly
Multi Trend Cross Strategy TemplateToday I am sharing with the community trend cross strategy template that incorporates any combination of over 20 built in indicators. Some of these indicators are in the Pine library, and some have been custom coded and contributed over time by the beloved Pine Coder community. Identifying a trend cross is a common trend following strategy and a common custom-code request from the community. Using this template, users can now select from over 400 different potential trend combinations and setup alerts without any custom coding required. This Multi-Trend cross template has a very inclusive library of trend calculations/indicators built-in, and will plot any of the 20+ indicators/trends that you can select in the settings.
How it works : Simple trend cross strategies go long when the fast trend crosses over the slow trend, and/or go short when the fast trend crosses under the slow trend. Options for either trend direction are built-in to this strategy template. The script is also coded in a way that allows you to enable/modify pyramid settings and scale into a position over time after a trend has crossed.
Use cases : These types of strategies can reduce the volatility of returns and can help avoid large market downswings. For instance, those running a longer term trend-cross strategy may have not realized half the down swing of the bear markets or crashes in 02', 08', 20', etc. However, in other years, they may have exited the market from time to time at unfavorable points that didn't end up being a down turn, or at times the market was ranging sideways. Some also use them to reduce volatility and then add leverage to attempt to beat buy/hold of the underlying asset within an acceptable drawdown threshold.
Special thanks to @Duyck, @everget, @KivancOzbilgic and @LazyBear for coding and contributing earlier versions of some of these custom indicators in Pine.
This script incorporates all of the following indicators. Each of them can be selected and modified from within the indicator settings:
ALMA - Arnaud Legoux Moving Average
DEMA - Double Exponential Moving Average
DSMA - Deviation Scaled Moving Average - Contributed by Everget
EMA - Exponential Moving Average
HMA - Hull Moving Average
JMA - Jurik Moving Average - Contributed by Everget
KAMA - Kaufman's Adaptive Moving Average - Contributed by Everget
LSMA - Linear Regression , Least Squares Moving Average
RMA - Relative Moving Average
SMA - Simple Moving Average
SMMA - Smoothed Moving Average
Price Source - Plotted based on source selection
TEMA - Triple Exponential Moving Average
TMA - Triangular Moving Average
VAMA - Volume Adjusted Moving Average - Contributed by Duyck
VIDYA - Variable Index Dynamic Average - Contributed by KivancOzbilgic
VMA - Variable Moving Average - Contributed by LazyBear
VWMA - Volume Weighted Moving Average
WMA - Weighted Moving Average
WWMA - Welles Wilder's Moving Average
ZLEMA - Zero Lag Exponential Moving Average - Contributed by KivancOzbilgic
Disclaimer : This is not financial advice. Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
Spider Lines For Bitcoin (Daily And Weekly)I haven't seen any indicator do this, so I decided to publish this to form automatic Spider Charts without actually going through the effort of drawing them!
This script charts dotted lines (spider lines) all over, depicting support and resistance levels.
It works by connecting some candles from the 2018 bear market to the candle from 1st July 2019, followed by extending the lines to the right, making support and resistance levels for the future. The script works only for the daily and weekly charts for Bitcoin.
The levels are accurate to a good extent.
If the lines don't load, zoom out until the 2018 bear market top and it should load then.
Have fun with this indicator!
Three Linear Regression ChannelsPlot three linear regression channels using alexgrover 's Computing The Linear Regression Using The WMA And SMA indicator for the linear regression calculations.
Settings
Length : Number of inputs to be used
Source : Source input of the indicator
Midline Colour : The colour of the midline
Channel One, Two, and Three Multiplicative Factor : Multiplication factor for the RMSE, determine the distance between the upper and lower level
Channel One, Two, and Three Colour : The channel's lines colour
Usage
For usage details, please refer to alexgrover 's Computing The Linear Regression Using The WMA And SMA indicator.
Attrition Scalper v2.0Green/Red Arrowed Buy/Sell signals are just simple buy sell signals based on SuperTrend, VWAP, Bollinger, Linear Regression
Purple Arrowed Buy/Sell Signals happen when the price/candle cross over or under the yellow outer lines (4.236 fib lines) It's extremely rare and hard for price to stay above these lines therefore we can usually and comfortably buy/sell it, a key information here though when price pumps or dumps super fast and hard to the point of crossing these borders, the trend might also be extremely strong and continous so even if the price temporarily goes back inside the borders as the lines expand over time price can continue riding or crossing these lines back again and continue the uptrend/downtrend, therefore crossing these outer borders doesn't necessarilly and always mean a reversal is due.
When analyzing the instrument you're trading the important factors for support/resistance areas are usually the outer lines like i said previously it's super hard for price to be outside these and will almost always get back inside quickly. The Middle thicker green/red line which is Variable Index Dynamic Average should also be a nice pivot line for major support and resistance . All the other lines are also important dynamic support/resistance lines.
Their Importance Order
1- Outer Yellow Line (4.236 Fibs)
2- Thicker Middle Green/Red Line (VIDYA)
3- Thinner Upper/Lower Green/Red Line (VIDYA +3, VIDYA -3)
4- The Rest Of The Lines (Fib Lines)
You can use this indicator in any market condition in any market to determine key support/resistance levels, use it for mean reversion through price expanding to outside of the most outer line therefore being overbought/oversold basically using the purple buy/sell signals or only follow the normal buy/sell signals or use it in confluence with each other. You can also use this indicator in confluence with your own manual technical analysis or other indicators/strategies you are already using and are comfortable with.
A good part is the support/resistance lines from timeframe to timeframe pictures the whole situation quite well, you can use lower timeframe to find your entry/exit positions and higher timeframe to find your key support/resistance points, they all should be somewhat in confluence from timeframe to timeframe anyways. My recommendation would be to look at 1HR, 4HR and 1D charts for swing trading and 5-15 Min for quick scalping/day trading
You should still probably at least take a look to higher timeframes so that you don't get burned when you realize there is a huge resistance line at price XXXXX on the 4 hour chart but you're expecting it to go above it on the 5 minute chart, it can go above it temporarily but we analyze everything on a closing basis so it most likely won't close above it. Again don't take a position or FOMO when price breaks a support/resistance line, we're looking for a CLOSE above/below them and a retest to see if S/R flip happened would even be better.
Sometimes the most outer line won't be the 4.236 (Yellow) lines as when it gets quite volatile the Thinner Upper/Lower Green/Red Lines (VIDYA +3, VIDYA-3) might cross them to be the most outer line, in this case i have observed that the trend is extremely strong this time price almost always doesn't go above or below the VIDYA line but can stay outside of the Yellow 4.236 Fib line for an extended amount of time (price will still get back inside the channel relatively quickly, just not as fast as the normal condition)
With Proper Risk Management and Discipline this indicator can be of great use to you as it's surprisingly successful especially at mean reversion and pointing out the support/resistance lines, they are so much more successful than your average MA/EMA lines.
Multi-Optimized Linear Regression ChannelA take on alexgrover 's Optimized Linear Regression Channel script which allows users to apply multiple linear regression channel with unique multiplicative factors.
Multiplicative Factors
Adjust the amount of channels and multiplicative factors of existing or additional channels using the "Mults" input.
An input of "1" creates a single linear regression channel with the multiplicative factor of one.
An input of "4" creates a single linear regression channel with the multiplicative factor of four.
An input of "1,4" creates two linear regression channels with multiplicative factors of one and four.
An input of "1,2,3" creates three linear regression channels with multiplicative factors of one, two, and three.
DB Change Forecast ProDB Change Forecast Pro
What does the indicator do?
The DB Change Forecast Pro is a unique indicator that uses price change on HLC3 to detect buy and sell periods along with plotting a linear regression price channel with oversold and undersold zones. It also has a linear regression change forecast mode to optionally project market direction.
Change is calculated by taking a two-bar change of HLC3 and dividing that by the price or, optionally, a fixed divisor.
A fast-moving change cloud is then calculated and displayed as the "regular version" plot (shown in light gray). When the cloud bottom is above low, a buy zone is detected. When the cloud top is below the high, a sell zone is detected.
The linear regression price channel is calculated similarly but using a much slower change rate. The linear regression price channel shows reasonable high, low and HLC3 ranges. At the bar's opening, the channel will be more compact and come fairly accurate about 1/4 into the bar timeframe.
The change forecasted price is projected on the right side of the current bar to indicate the current timeframe direction. Please note this forecasting feature is shown in orange when it's early in the timeframe and gray when the timeframe is more likely to produce an accurate direction forecast for the upcoming bar.
You can use these projected dashed lines to see possible market movements for the Current bar and possible market direction for the next bar. Kindly note these projects change; they should be used to understand possible extreme highs/lows for the current bar or market direction.
The indicator includes an optional change forecast projection feature hidden by default. It will project the market forecast channel with an offset of 1. The forecast is defaulted to an offset of 1 to show market direction. However, you can modify to zero the offset to show the current bar forecast and forecast history.
How should this indicator be used?
First, very important,
1. Settings > Set Symbol to Desired
2. Settings > Set High Timeframe to "Chart"
3. Settings > Ensure "Use price as divisor" is checked.
It's recommended to use this indicator in higher timeframes. Buy and sell signals are displayed in real-time. However, waiting until 1/4 to 1/2 into the current bar is recommended before taking action, and change can happen.
The buy/sell signals (zones) provide recommendations on playing a long vs. a short. When in a buy sone, only play longs. When in a sell zone, only play shorts.
Then use the linear regression price channel oversold and undersold zones to optionally open and close positions within the buy/sell zones.
For example, consider opening a long in a buy zone when the linear regression price channel shows undersold. Then consider closing the long when the price moves into the linear regression oversold or higher. Then repeat as long as it's in the buy zone. Then vice versa for sell zones and shorting.
At basic design, buy in the buy zone, sell or short in the sell zone. If you are up for higher trading frequencies, use the linear regression price channel as described in the example above.
Please note, as, with all indicators, you may need to adjust to fit the indicator to your symbol and desired timeframe.
This is only an example of use. Please use this indicator as your own risk and after doing your due diligence.
Does the indicator include any alerts?
Yes,
"DB CFHLC3: Signal BUY" - Is triggered when a buy signal is fired.
"DB CFHLC3: Signal SELL" - Is triggered when a sell signal is fired.
"DB CFHLC3: Zone BUY" - Is triggered when a buy zone is detected.
"DB CFHLC3: Zeon SELL" - Is triggered when a sell zone is detected.
"DB CFHLC3: Oversold SELL" - Is triggered when the price exceeds the oversold level.
"DB CFHLC3: Undersold BUY" - Is triggered when the price goes below the undersold level.
Any other tips?
Once you have configured the indicator for your symbol and chart timeframe. Meaning the plots are displayed over the price. Check out larger timeframes such as W, 2W, 3W, 4W, M, and 4M. It works wonderfully for showing market lows and highs for long-term investing too!
Another, tip is to combine it with your favorite indicator, such as TTM Squeeze or MACD for confirmation purposes. You may be surprised how fast the indicator shows market direction changes on higher timeframes.
You can just as easily use a high timeframe such as D, 2D, or 3D for day trading due to how the linear price channel works.
Why am I not selling this indicator?
I would like to bless the TradingView community, and I enjoy publishing custom indicators.
If you enjoy this indicator, please consider leaving a thumbs up or a comment for others to know about your experience or recommendations.
Enjoy!
Converging Pullbacks and PeaksMulti Timeframe Converging Lines Indicator. Using the highest/lowest Values at 2 different lengths. Convergence created by taking the highest/lowest value and subtracting/adding the # of barssince the highest/lowest bar was set multiplied by the price multiplied by the float. Curves are created from averaging out the emas of the center lines of the extremeties.
Helps show trendlines automatically most of the time but can be tweaked by changing the floats or Fast/Slow lengths to you liking.
LinReg-MACD AlertsThis is the LinReg-MACD indicator. It issues Buy and Sell signals based on linear regression candles along with a SMA slope filter. It also uses the MACD as confluence for these signals. It also has a LSMA filter. All values are adjustable and there are check boxes for use on different candles. I find it works better for me when swinging higher timeframes like the 1 hour.
Quantitative Kernel DelimiterQuantitative Kernel Delimiter QKD - aka "Fire and ICE" - is a six-level multiple Kernel regression estimator with cross-timeframe semi-coordinated delimiters (bands) enabled by mathematical validation to our own Kernel regression code with historical Kernel formulas having custom variable bandwidths , mults , and window width – all achieving an advanced alerting system and directional price-action pointers for Novice, Intermediate and Advanced Traders within the TradingView Graphical User Interface.
In the course of our work, we have found that such six delimiters are ideal for generating signals of varying strengths.
99.9% of observations should be in our delimiters' range:
Kernel regression is a nonparametric smoothing method for data modeling.
Kernel regression of statistics was derived independently by Nadaraya and Watson in 1964 with a mathematical foundation given by Parzen’s earlier work on kernel density estimation.
If you are interested in reading more about the mathematical basis of this method from which our code is derived, you can follow these scholarly links:
Expert Trading Systems: Modeling Financial Markets with Kernel Regression
Estimation of the bandwidth parameter in Nadaraya-Watson
Adaptive optimal kernel density estimation for directional data
How kernel regression differs from the other Moving Averages?
In most MA's data points in the specified lookback window are weighted equally. In contrast, the Gaussian Kernel function used in this indicator assigns a higher weight to data points that are closer to the current point. This means that the indicator will react more quickly to changes in the market.
Regression method from which our code is derived is a widely known formula that is laid out in many sources, we used this source:
Kernel regression estimation
Kernel
During the regression counting process, a `kernel function` is used, which is traditionally chosen from a wide variety of symmetric functions.
In this indicator, we use the Gaussian density of statistics as the kernel function.
The Gaussian Kernel is one of the most commonly used Kernel functions and is used extensively in many Machine Learning algorithms due to its general applicability across a wide variety of datasets.
The kernel regression averages all the data contained within the range of the kernel function.
The effective range of the kernel function is defined by its window width .
Kernel Delimiters (Bands / Levels)
This indicator has 6 tailored price range* delimiters:
Cold / Fire - the furthest delimiters. In a range market when the price enters the cold/fire zones it is assumed that it has deviated strongly from the average and there is a high probability that it will immediately return to the average, or at least into the underlying zone, also in a trending market it signals a change in trend.
ALERT: the indicator performs best during relatively sideways price action within an established range. The trader must check higher timeframes during hits on the extreme Cold or Fire delimiter bands as a break in the lower, or even higher timeframe price range may result in a need to reset the regression calculation once price velocity calms down after a major move allowing the indicator to best function again. The reset will be done automatically by the indicator’s code. The indicator is not intended for use with unusually aggressive pricing behavior. Always beware of extreme market conditions. The indicator is intended as an ordinary range trading tool.
Gold / Green - we call it the middle ground / golden mean / happy medium zone. When the price comes out here but the momentum is not enough to get to the higher zone we consider it a good signal.
Pro - most often we receive signals in this area. We call it the professional zone because it is literally the zone for professional traders who know what they are dealing with.
*NOTE: the indicator is intended to be used as a range trading tool, and does not protect against total BREAKS from one Range to a new Range, wherein the bands reset for the trader.
Alerts / Labels
We have spent a lot of time implementing and testing signal labels* and alerts**.
Now you have access to an advanced alert system.
*NOTE: DUE TO the ongoing regression calculations performed by our code, the trader will note that a label may change color at a later point in time, or even soon after the hit on the quantitative delimiter band in question. This is a process that was reviewed and is favored to achieve visual clarity over historical accuracy for the trader. Real-time trading hits of price line to band, along with alerts generated, remain accurate. We look forward to receiving feedback on this issue from the end users. Additional revisions by our team on this matter are anticipated if a harmony between visual clarity and historical accuracy is not satisfied.
**NOTE: Smaller and especially micro timeframes will result in more repeated alerts given the tight proximity with price vis-à-vis the quantitative delimiter. Larger timeframes tend to eliminate any issue with repeated alerts aside from obvious re-contacting of the quantitative delimiter by the active price line.
You can turn off alerts you don't need in the indicator settings.
All alerts are set with one click.
Themes
Different people like different things, which is why we decided to make several visual design themes so you can choose what suits you.
Themes will continue to evolve over time.
Pro Theme:
Modern Theme:
How to remove colored text labels next to price scale to maximize screen space on mobile:
Go to General Chart Settings :
Click on “SCALES”
Un select “Indicators and financial name.”
Dynamic Mode
Projection of Indicator bands on history is subject to repainting due to its regressive calculation nature. Be cautious: old signals are drawn once at the first loading of the chart and by default (to speed up the start-up time of the indicator) correspond to the current regression levels. All labels remain in their places as the chart progresses. Also new, real-time labels appear on the chart, and do not disappear. In order to display the old signals on the chart as they were at the time of their appearance, uncheck the "History labels transition" in the indicator settings (it may increase the initial loading time of the chart but will give you an opportunity to check the alerts you received before and may also be useful for visual backtesting).
Because of the very nature of modeling financial markets (i.e., thousands of data records and perhaps hundreds of candidate predictors), the need for computational speed is paramount.
The use of kernel regression in data modeling for the types of problems associated with financial markets requires careful consideration of computational time.
Once we acknowledge that the order of the data is important, then the choice of the learning-data-set becomes crucial. The time dimension introduces another level of complexity to the analysis: how much importance do we attach to recent data records as opposed to earlier records? Is there a simple way to take this effect into consideration? Common sense leads us to the basic conclusion that if we are to predict a value of Y at a given time, we should only use learning data from an earlier time. But this procedure tends to be overly restrictive. This problem has a simple solution: All that one must do is to make the learning data set dynamic . In other words, once a record has been tested, it is then available for updating the learning data set prior to testing the next record. The analyst can allow the learning data set to grow, or, alternatively, for each record added, the earliest remaining record in the learning set can be discarded. These two alternatives have led us to the necessity of using moving window option and adding a disclaimer that dynamic mode is enabled.
This indicator will be updated frequently based on community feedback see the Author’s instructions below to get instant access
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Liability Disclaimer
Never fully rely on one indicator as you trade. Successful trading may require an orchestral mindset and harmonіc blend of trading tools, know-how, and devices. VIP Trader . com is not responsible for any damages or losses incurred by use or misused of this indicator. Neither this description above, nor the indicator, is intended to be used as financial advisory tool, nor to be used without proper education or training in the field of trading.
Faytterro Estimator StrategyWhat is "Faytterro Estimator Strategy"?
"Faytterro Estimator Strategy" is strategy of faytterro estimator. if you want to know more about faytterro estimator:
What it does?
It trades according to the signals given by faytterro estimator and some additional restrictions.
How it does it?
Using the faytterro estimator and the following variables, it gives buy and sell signals in different sizes at ideal points.
How to use it?
The "source" part is used to change the source of faytterro estimator.
The "length" is the length of the fayterro estimator.
"Minimum entry-close gap" is the minimum distance between two transactions opened in opposite directions. For example, if you opened long at 20 500 and "Minimum entry-close gap" is 400, you will not receive a sell signal before the price goes above 20900.
If "minimum entry-entry gap" is the minimum difference between two transactions opened in the same direction. For example, if you open long at 20500 level and the "minimum entry-entry gap" is 400, you will not receive a "buy" signal before the price goes below the 20100 level.
"strong entry size" determines the size of strong signals. The size of ordinary signals is always 1.
note: default values for btc/usdt 1 hour timeframe.
Nadaraya-Watson CombineThis is a combination of the Lux Algo Nadaraya-Watson Estimator and Envelope. Please note the repainting issue.
In addition, I've added a plot of the actual values of the current barstate of
the Nadaraya-Watson windows as they are computed (lines 92-95). It only plots values for the current data at
each time update. It is interesting to compare the trajectory of the end points of the Estimator and
Envelope to the smoothing function at each time update. Due to the kernel smoothing at each update the
history is lost at each update (repaint).
I've added a feature to allow adjustment to the kernel smoothing algorithm as suggested by thomsonraja (line 59).
The settings and usage are repeated from Lux Algo below.
Settings
Window Size: Determines the number of recent price observations to be used to fit the Nadaraya-Watson Estimator.
Bandwidth: Controls the degree of smoothness of the envelopes , with higher values returning smoother results.
Mult: Controls the envelope width.
Src: Input source of the indicator.
Kernel power: See line 59, adjusts the exponential power (powh) as suggested by thomsonraja
Kernel denominator: See line 59, adjusts the denominator (den) as suggested by thomsonraja
Usage
This tool outlines extremes made by the prices within the selected window size.
This is achieved by estimating the underlying trend in the price using kernel smoothing,
calculating the mean absolute deviations from it, and adding/subtracting it
from the estimated underlying trend.
I repeat Lux Algo's caution: 'we do not recommend this tool to be used alone
or solely for real time applications.'
Nadaraya-Watson: Rational Quadratic Kernel (Non-Repainting)What is Nadaraya–Watson Regression?
Nadaraya–Watson Regression is a type of Kernel Regression, which is a non-parametric method for estimating the curve of best fit for a dataset. Unlike Linear Regression or Polynomial Regression, Kernel Regression does not assume any underlying distribution of the data. For estimation, it uses a kernel function, which is a weighting function that assigns a weight to each data point based on how close it is to the current point. The computed weights are then used to calculate the weighted average of the data points.
How is this different from using a Moving Average?
A Simple Moving Average is actually a special type of Kernel Regression that uses a Uniform (Retangular) Kernel function. This means that all data points in the specified lookback window are weighted equally. In contrast, the Rational Quadratic Kernel function used in this indicator assigns a higher weight to data points that are closer to the current point. This means that the indicator will react more quickly to changes in the data.
Why use the Rational Quadratic Kernel over the Gaussian Kernel?
The Gaussian Kernel is one of the most commonly used Kernel functions and is used extensively in many Machine Learning algorithms due to its general applicability across a wide variety of datasets. The Rational Quadratic Kernel can be thought of as a Gaussian Kernel on steroids; it is equivalent to adding together many Gaussian Kernels of differing length scales. This allows the user even more freedom to tune the indicator to their specific needs.
The formula for the Rational Quadratic function is:
K(x, x') = (1 + ||x - x'||^2 / (2 * alpha * h^2))^(-alpha)
where x and x' data are points, alpha is a hyperparameter that controls the smoothness (i.e. overall "wiggle") of the curve, and h is the band length of the kernel.
Does this Indicator Repaint?
No, this indicator has been intentionally designed to NOT repaint. This means that once a bar has closed, the indicator will never change the values in its plot. This is useful for backtesting and for trading strategies that require a non-repainting indicator.
Settings:
Bandwidth. This is the number of bars that the indicator will use as a lookback window.
Relative Weighting Parameter. The alpha parameter for the Rational Quadratic Kernel function. This is a hyperparameter that controls the smoothness of the curve. A lower value of alpha will result in a smoother, more stretched-out curve, while a lower value will result in a more wiggly curve with a tighter fit to the data. As this parameter approaches 0, the longer time frames will exert more influence on the estimation, and as it approaches infinity, the curve will become identical to the one produced by the Gaussian Kernel.
Color Smoothing. Toggles the mechanism for coloring the estimation plot between rate of change and cross over modes.
SUPER GCOV5 MAPSCALP > MAPPING & SCALPING SUPER GCOV5 MAPSCALP indicator is built specifically for mapping/prediction measurement and fast trading i.e. scalping/intraday in the commodity market or cryptos market. It uses an indicator instrument consisting of ATR TRAILING STOP (ATR), EXPONENTIAL MOVING AVERAGE, PIVOT POINT, FIBONACCI KEY LEVEL, and LINEAR REGRESSION CHANNEL(LRC).
Rebuild of Instrument & Parameter
This indicator is also an upgraded instrument that is sourced from the previous indicator-FUTURES SCALPV2.This R&D of course makes trading activities more effective, and dynamic to increase the confidence of traders in current trading activities. The indicator has been upgraded in terms of parameters as well as additional instruments. Among them are;
1. ATR Trailing Stop
2. ATR BUY/SELL signal
3. Exponential Moving Average(EMA) – fastMA/slowMA Length
5. Breakout/breakdown signal
6. Pivot low/high level
7. Fibonacci extends & retracement
8. Linear Regression Channel(LRC)
9. Alert condition ( a dozen alerts )
> The best timeframe for entry is 3 minutes for FCPO and 15 minutes for other futures & cryptos.
> The best timeframe mapping/prediction is 1 hour & 4 hours.
>The candle/bars have been colored to make it easier for traders to see the price trends whether in bullish or bearish conditions.
Easier SOP of ENTRIES/POSITIONING:
1. entry by signal BUY/SELL after signal bar ( 2nd bar) for confirmation.
2. The best entries BUY at support(pivot low-Blue line) after price rebound then signal appears. The best buy also when the price is at lower
low pivot + fibo support level + lower trendline(LRC) + and the price went rebound.
3. The best entries SELL at resistance(pivot high-red line) after price pullback then signal appears.
The best buy also when the price is at a higher high pivot + fibo resistance level + upper trendline LRC + and the price went pullback.
4. Profit-taking areas are usually measured by support and resistance levels. Please refer to the bold line( support & resistance), fibo key level,
and trendline.
*To avoid false signals/wrong positions, you can use the EMA line as a guide and follow the trends, which are the buying weight when the price is above the 20/50 ema, and the selling weight when the price is below the 20/50 ema. EMA can be reset on the input setting.
STEPS of MAPPING/PROJECTION:
1. Use a bigger timeframe such as 4 hours or 1 hour
2. Use LRC to identify buy/sell weights when the price makes a zig-zag patent
3. Use monthly and weekly fibo levels to know support and resistance. This fibo is very important to see if the price will make an extension or
retracement based on the regression channel earlier. So here we can evaluate which area to buy/sell/take-profit/exit and the reversal of a
market price.
You can also create an ALERT CONDITION to help you get a reminder of signals and price trend changes
The original instrument has been retained but changed in terms of display & facelift features.
Hopefully, the new one will assist you in making analysis and strategy of trading activities successfully.
THIS IS NOT A BUY/SELL CALL, ONLY STUDY IDEAS AND ANALYSIS BASED ON MEASUREMENT TOOLS FOR EDUCATION AND GUIDANCE PURPOSES.PLEASE TAKE AT YOUR OWN RISK.
Nasdaq DowJones STOCH+RSIAlternative & UPDATED version of my previous indicator for spread trading.
This indicator can work pretty well also with other indices or correlated assets such as nasdaq100 and dax40.
The spikes from one side of the channel or the orizzontal lines signal a possible entry signal for a spread trading strategy.
Regression Channel, Candles and Candlestick Patterns by MontyRegression Candles by ugurvu
Regression Channel by Tradingview
All Candlestick Patterns By Tradingview
This script was combined for a friend of mine who needed this.
This Script has regression candles by ugurvu, Regression channel and Candlestick patterns by tradingview.
The intention was to fuse these together so more information can be processed on the cost of a single indicator.
Standard Deviation Channel V.1Standard Deviation channel For TradingView V.1
Many thanks to and Made with help from @rumpypumpydumpy
█ - How to add the indicator-
You can “Boost” the tool if you like it, then scroll down on this page to "Add to favorite indicators" so it will be saved in your favorites. Easiest way to add to chart past that is simply copy the indicators name, Navigate to a chart, then paste the indicators name into your chart's "Indicators" tab. It should then be immediately added to the current chart. If your display is not large enough, when you first add your channel,, you may realize that you see labels appear, but no channel. Simply scroll backwards in time until the chart loads. TradingView needs to be able to see the data you would like the channel to read in order to plot and display correctly. This is a simple one or two mouse wheel scroll and it will appear.
You may notice a compression of price scale. IF this happens simply right click your right price axis, a menu will appear, select “Scale price chart only”, and "Auto (fits data to screen) This will release the scale compression and let you view the channel and price normally. Once your Channel is added, loaded, and ready to go, you can proceed to settings. In the top left corner of your main chart there will be a Indicator title, hover that and click on the gear icon to access the channels custom settings. You can also double click any of the active plots from the channel or averages on the chart, and gain access to the settings panel through that.
█ OVERVIEW
Settings explained -
Inputs and color choices
You can think of the settings panel as 3 separate sections.
First - Look and feel- You will have your Channels visual inputs, Simple Yes or No check boxes on whether you would like to display the visual items listed. You can choose to display the channel in a multitude of ways, with or without half deviations, with no 2nd, 3rd, or 4th deviations. This first section is your quick access control panel to the visual feel and display of the channel and its items.
Then below that you will see quick access color presets for each deviation and half deviations. You can choose to leave these as is, or you can choose custom colors per your preference.
The positive and negative Second deviations (+/-2std) are colored by positive and negative slope of channel. This will help to show overall trend, whether up or down, positive or negative. User can change the positive and negative slope colors if they would like.
Second, - Time and Regression - Next as you scroll down the settings panel you will encounter the Time and regression settings. In order for the channel to match the channel used widely in TOS, we had to Preset the look back lengths into the code because on Tradingview we have an “Continuous left edge of the chart”. We needed to tell the channel how far to look back and start calculating. The frame work for this time logic came initially from the channel that was developed years back by @corgalicious, We then took that time logic and re-worked it in order to fit the parameters that the widely used and popular TOS channel has.
Above the time frame length back inputs you will find a dropdown menu "Regression method type". This will offer different methods of regression and calculating the standard deviation from the center linear regression line. It is preset to “Population standard deviation” which will mimic the widely used TOS channel. There is also a choice for “Regression method standard error, or RMSE. This is a similar regression style, but will result in a tighter fitting, smaller deviation measurement and channel all around. As well as a multitude of other regression styles thanks to the genius of @rumpypumpydumpy
All the time presets were carefully chosen based off Pre set time frames TOS offers for their widely used Standard deviation channel, and time frames I had noted as widely used. You as the user can change those look back windows if you prefer through the input length settings. I recommend using the stock settings in most scenarios. Trading view has a 5000 bar look back limit, so we have implemented “Max lookbacks” inside the code to avoid any user error or confusion. The standard error of the sample mean is an estimate of how far the sample mean is likely to be from the population mean, whereas the standard deviation of the sample is the degree to which individuals within the sample differ from the sample mean. For longer time frames and sample sets I tend to use Population Standard Dev setting. For smaller sample sets I will go with Linreg RMSE setting. This is a personal preference. It is encouraged to try all of them and see what fits your trading style the best.
If the user would like to use a "Max bar lookback and plot the maximum allowed length on the current time frame, Simply select, "Use the full range of data allowed in max bars back for calculation?" This will automatically search back on the current time frame and plot the channel 4999 bars back. User will have to SCROLL BACK in order to fully load the channel into view. Again, Tradingview needs to see the candles you would like to plot on.
Third, - Finally at the bottom of the settings I have included Exponential moving average clouds. These are NOT enabled by default. If the user would like them enabled simply check "show momentum average clouds" and "Show Candle EMA". These are Multiple time frame moving average clouds consisting of 72/89 length 3, and 5min exponential moving averages. I use these to simply show the front or back side of a move and to find if trend is strong or weakening. These are not always needed so they are turned off by default.
█ CONCEPTS
Reversion and Repulsion-
You will find that the channel linear regression trend line has two characteristic's, Reversion to the mean, and Repulsion away from the mean. Price either seeks to aggressively return to the mean when it has exited a normal distribution, or price seeks to aggressively move away from the mean in times of momentum. Most seek to participate in the move through MAJOR WHOLE deviation levels in one scenario or the other.
The idea behind using a Standard deviation channel is to see extension and find where in the move we are. Are you extended out to 3 or 4 deviation's up or down? If so, you could start to think about reversion back to the mean. Have you had a violent move down to -3 or -4 deviations in a sell off? Maybe look at reversion back up toward the mean off a whole deviation break. Have you broken out of a normal distribution at +1 deviation and are building trend? maybe seek to join trend.
I have found most success by using a Split screen style layout. On the left chart most will have a 1min intraday channel showing, and on the left chart a 4hr channel showing. The idea is to mark your longer time frame deviations onto your intraday time frame, and use the intraday Channel to guide you through the higher time framed move. The move through +/- 1 deviation is a high momentum area in most names as price either seeks to return to the mean, or move strongly away from the mean.
█ Time periods
The channel has pre determined lookback presets for each major time frame. These have been preset in the code to mimic the widely used channel in TOS to the best of our ability.
Preset timeframe lookbacks include.
//intraday shorter time frames. 1/2min with 2day lookbacks
'1D-1Min' - Default= 2D, minval=1, maxval=5
'1D-2Min' - Default= 2D, minval=1, maxval=7
//intraday shorter time frames. 3/5min with 5day lookbacks. User can set shorter or longer if they choose, up to a 5000k bar look back depending on their Data tier level, Basic, Pro, Pro+, Premium etc.
'5D-3Min' - Default= 5D, minval=1, maxval=7
'5D-5Min' - Default= 5D, minval=1, maxval=20
// larger intraday time frames, 10/15min with 5day look backs.
'5D-10Min' - Default= 5D, minval=1, maxval=20
'5D-15Min' - Default= 5D, minval=1, maxval=60
// "Swing style time frames" 30/60 min with 10 and 20 day look back.
'10D-30Min' - Default= 10D, minval=1, maxval=60
'20D-1Hr' - Default= 20D, minval=1, maxval=90
//longer lookbacks for larger time frames using day lookback with the exception of week/month
'90D-2Hr' - Default = 90D, minval=1, maxval=180
'4h ' - Default = 180D,minval=1, maxval=4999
'6h' - Default = 36D, minval=1, maxval=252
'5Yr-W' - Default = 260W,minval=1, maxval=260
'1Yr-1D' - Default = 252D,minval=1, maxval=4999
'1Yr-1W' - Default = 52W, minval=1, maxval=480
'5Yr-1M' - Default = 60W, minval=1, maxval=480
█ Minimum Window Size
Note that on each time frame you MUST quickly scroll out to the first bar that the channel should start calculating on in order for the channel to populate on longer time frame series. This is under construction and as soon as there is a fix or other way around this, it will be addressed.
█ NOTES
Enjoy!
In the end I encourage any who tries the Channel to really sit down and spend some time playing around with the settings in order to find out how they like the Channel set up. I usually run the default settings on a intraday 5min chart, and then another instance of the study on a 4 hour chart. That way I can see granular intraday levels, and macro long term levels in the same view. See what fit's you the best, and how you like to trade. Most of all ENJOY!
Good luck -
JMF.
IMPORTANT INFO-
As always, the creator of this code is NOT a licensed investment advisor. No output of this tool is to be taken as investment advice or a recommendation to buy or sell any security.
Trading is risky, any one using this tool acknowledges they CAN LOSE some if not all of their initial investment even with this tool enabled.
User assumes ALL RESPONSIBILITY when using this tool in their technical analysis. There is NO GUARANTEE THAT THE USE OF THIS TOOL WILL RESULT IN PROFIT Use at your own risk.
Faytterro EstimatorWhat is Faytterro Estimator?
This indicator is an advanced moving average.
What it does?
This indicator is both a moving average and at the same time, it predicts the future values that the price may take based on the values it has taken before.
How it does it?
takes the weighted average of data of the selected length (reducing the weight from the middle to the ends). then draws a parabola through the last three values, creating a predicted line.
How to use it?
it is simple to use. You can use it both as a regression to review past prices, and to predict the future value of a price. uptrends are in green and downtrends are in red. color change indicates a possible trend change.
T.O/REG/Gauss LineHi Dear Traders/Dealers!
I present you here 3 lines that I developed myself base on statistical issues.
+Reg. Line
+Gauss Line
+T.O Line
-Reg. Line based on linear regression of previous inputs to make an average value.
-Gauss Line based on Gaussian mean value, Standard Deviation and it uses previous inputs to make an average value.
-T.O Line based on Gaussian and RMA methods generate an average value.
Hopefully useful for you!
Best regards and happy trading
Shakib
