FVG Channel [LuxAlgo]The FVG Channel indicator displays a channel constructed from the averages of unmitigated historical fair value gaps (FVG), allowing to identify trends and potential reversals in the market.
Users can control the amount of FVGs to consider for the calculation of the channels, as well as their degree of smoothness through user settings.
🔶 USAGE
The FVG Channel is constructed by averaging together recent unmitigated Bullish FVGs (contributing to the creation of the upper bands), and Bearish unmitigated FVGs (contributing to the creation of the lower bands) within a lookback determined by the user. A higher lookback will return longer-term indications from the indicator.
The channel includes 5 bands, with one upper and one lower outer extremities, as well as an inner series of values determined using the Fibonacci ratios (respectively 0.786, 0.5, 0.236) from the channel's outer extremities.
An uptrend can be identified by price holding above the inner upper band (obtained from the 0.786 ratio), this band can also provide occasional support when the price retraces to it while in an uptrend.
Breaking below the inner upper band with an unwillingness to reach above again is a clear sign of hesitation in the market and can be indicative of an upcoming consolidation or reversal.
This can directly be applied to downtrends as well, below are examples displaying both scenarios.
Uptrend Example:
Downtrend Example:
🔹 Breakout Levels
When the price mitigates all FVGs in a single direction except for 1, the indicator will display a "Breakout Level". This is the level that price will need to cross in order for all FVGs in that direction to be mitigated, because of this they can also be aptly called "Last Stand Levels".
These levels can be considered as potential support and resistance levels, however, should always be monitored for breakouts since a substantial push above or below these points would indicate strong momentum.
🔹 Signals
The indicator includes Bullish and Bearish Signals, these signals fire when all FVGs for a single direction have been mitigated and an engulfing candle occurs in the opposite direction. These are reversal signals and should be used alongside other indicators to appropriately manage risk.
Note: When all FVGs in a single direction have been mitigated, the candles will change colors accordingly.
🔶 DETAILS
The script uses a typical identification method for FVGs. Once identified, the script collects and stores the mitigation levels of the respective bullish and bearish FVGs:
For Bullish FVGs this is the bottom of the FVG.
For Bearish FVGs this is the top of the FVG.
The data is managed to only consider a specific amount of FVG mitigation levels, determined by the set "Unmitigated FVG Lookback". If an FVG is mitigated, it frees up a spot in the memory for a new FVG, however, if the memory is full, the oldest will be deleted.
The averages displayed (Channel Upper and Lower) are created from 2 calculation steps, the first step involves taking the raw average of the FVG mitigation levels, and the second step applies a simple moving average (SMA) smoothing of the precedent obtained averages.
Note: To view the mitigation levels average obtained in the first step, the "Smoothing Length" can be set to 1.
🔶 SETTINGS
Unmitigated FVG Lookback: Sets the maximum number of Unmitigated FVG mitigation levels that the script will use to calculate the channel.
Smoothing Length: Sets the smoothing length for the channel to reduce noise from the raw data.
Parallel Channel
Periodic Linear Regressions [LuxAlgo]The Periodic Linear Regressions (PLR) indicator calculates linear regressions periodically (similar to the VWAP indicator) based on a user-set period (anchor).
This allows for estimating underlying trends in the price, as well as providing potential supports/resistances.
🔶 USAGE
The Periodic Linear Regressions indicator calculates a linear regression over a user-selected interval determined from the selected "Anchor Period".
The PLR can be visualized as a regular linear regression (Static), with a fit readjusting for new data points until the end of the selected period, or as a moving average (Rolling), with new values obtained from the last point of a linear regression fitted over the calculation interval. While the static method line is prone to repainting, it has value since it can further emphasize the linearity of an underlying trend, as well as suggest future trend directions by extrapolating the fit.
Extremities are included in the indicator, these are obtained from the root mean squared error (RMSE) between the price and calculated linear regression. The Multiple setting allows the users to control how far each extremity is from the other.
Periodic Linear Regressions can be helpful in finding support/resistance areas or even opportunities when ranging in a channel.
The anchor - where a new period starts - can be shown (in this case in the top right corner).
The shown bands can be visualized by enabling Show Extremities in settings ( Rolling or Static method).
The script includes a background gradient color option for the bands, which only applies when using the Rolling method.
The indicator colors can be suggestive of the detected trend and are determined as follows:
Method Rolling: a gradient color between red and green indicates the trend; more green if the output is rising, suggesting an uptrend, and more red if it is decreasing, suggesting a downtrend.
Method Static: green if the slope of the line is positive, suggesting an uptrend, red if negative, suggesting a downtrend.
🔶 DETAILS
🔹 Anchor Type
When the Anchor Type is set to Periodic , the indicator will be reset when the "Anchor Period" changes, after which calculations will start again.
An anchored rolling line set at First Bar won't reset at a new session; it will continue calculating the linear regression from the first bar to the last; in other words, every bar is included in the calculation. This can be useful to detect potential long-term tops/bottoms.
Note that a linear regression needs at least two values for its calculation, which explains why you won't see a static line at the first bar of the session. The rolling linear regression will only show from the 3rd bar of the session since it also needs a previous value.
🔹 Rolling/Static
When Anchor Type is set at Periodic , a linear regression is calculated between the first bar of the chosen session and the current bar, aiming to find the line that best fits the dataset.
The example above shows the lines drawn during the session. The offered script, though, shows the last calculated point connected to the previous point when the Rolling method is chosen, while the Static method shows the latest line.
Note that linear regression needs at least two values, which explains why you won't see a static line at the first bar of the session. The rolling line will only show from the 3rd bar of the session since it also needs a previous value.
🔶 SETTINGS
Method: Indicator method used, with options: "Static" (straight line) / "Rolling" (rolling linear regression).
Anchor Type: "Periodic / First Bar" (the latter works only when "Method" is set to "Rolling").
Anchor Period: Only applicable when "Anchor Type" is set at "Periodic".
Source: open, high, low, close, ...
Multiple: Alters the width of the bands when "Show Extremities" is enabled.
Show Extremities: Display one upper and one lower extremity.
🔹 Color Settings
Mono Color: color when "Bicolor" is disabled
Bicolor: Toggle on/off + Colors
Gradient: Background color when "Show extremities" is enabled + level of gradient
🔹 Dashboard
Show Dashboard
Location of dashboard
Text size
Sinc Bollinger BandsKaiser Windowed Sinc Bollinger Bands Indicator
The Kaiser Windowed Sinc Bollinger Bands indicator combines the advanced filtering capabilities of the Kaiser Windowed Sinc Moving Average with the volatility measurement of Bollinger Bands. This indicator represents a sophisticated approach to trend identification and volatility analysis in financial markets.
Core Components
At the heart of this indicator is the Kaiser Windowed Sinc Moving Average, which utilizes the sinc function as an ideal low-pass filter, windowed by the Kaiser function. This combination allows for precise control over the frequency response of the moving average, effectively separating trend from noise in price data.
The sinc function, representing an ideal low-pass filter, provides the foundation for the moving average calculation. By using the sinc function, analysts can independently control two critical parameters: the cutoff frequency and the number of samples used. The cutoff frequency determines which price movements are considered significant (low frequency) and which are treated as noise (high frequency). The number of samples influences the filter's accuracy and steepness, allowing for a more precise approximation of the ideal low-pass filter without altering its fundamental frequency response characteristics.
The Kaiser window is applied to the sinc function to create a practical, finite-length filter while minimizing unwanted oscillations in the frequency domain. The alpha parameter of the Kaiser window allows users to fine-tune the trade-off between the main-lobe width and side-lobe levels in the frequency response.
Bollinger Bands Implementation
Building upon the Kaiser Windowed Sinc Moving Average, this indicator adds Bollinger Bands to provide a measure of price volatility. The bands are calculated by adding and subtracting a multiple of the standard deviation from the moving average.
Advanced Centered Standard Deviation Calculation
A unique feature of this indicator is its specialized standard deviation calculation for the centered mode. This method employs the Kaiser window to create a smooth deviation that serves as an highly effective envelope, even though it's always based on past data.
The centered standard deviation calculation works as follows:
It determines the effective sample size of the Kaiser window.
The window size is then adjusted to reflect the target sample size.
The source data is offset in the calculation to allow for proper centering.
This approach results in a highly accurate and smooth volatility estimation. The centered standard deviation provides a more refined and responsive measure of price volatility compared to traditional methods, particularly useful for historical analysis and backtesting.
Operational Modes
The indicator offers two operational modes:
Non-Centered (Real-time) Mode: Uses half of the windowed sinc function and a traditional standard deviation calculation. This mode is suitable for real-time analysis and current market conditions.
Centered Mode: Utilizes the full windowed sinc function and the specialized Kaiser window-based standard deviation calculation. While this mode introduces a delay, it offers the most accurate trend and volatility identification for historical analysis.
Customizable Parameters
The Kaiser Windowed Sinc Bollinger Bands indicator provides several key parameters for customization:
Cutoff: Controls the filter's cutoff frequency, determining the divide between trends and noise.
Number of Samples: Sets the number of samples used in the FIR filter calculation, affecting the filter's accuracy and computational complexity.
Alpha: Influences the shape of the Kaiser window, allowing for fine-tuning of the filter's frequency response characteristics.
Standard Deviation Length: Determines the period over which volatility is calculated.
Multiplier: Sets the number of standard deviations used for the Bollinger Bands.
Centered Alpha: Specific to the centered mode, this parameter affects the Kaiser window used in the specialized standard deviation calculation.
Visualization Features
To enhance the analytical value of the indicator, several visualization options are included:
Gradient Coloring: Offers a range of color schemes to represent trend direction and strength for the moving average line.
Glow Effect: An optional visual enhancement for improved line visibility.
Background Fill: Highlights the area between the Bollinger Bands, aiding in volatility visualization.
Applications in Technical Analysis
The Kaiser Windowed Sinc Bollinger Bands indicator is particularly useful for:
Precise trend identification with reduced noise influence
Advanced volatility analysis, especially in the centered mode
Identifying potential overbought and oversold conditions
Recognizing periods of price consolidation and potential breakouts
Compared to traditional Bollinger Bands, this indicator offers superior frequency response characteristics in its moving average and a more refined volatility measurement, especially in centered mode. These features allow for a more nuanced analysis of price trends and volatility patterns across various market conditions and timeframes.
Conclusion
The Kaiser Windowed Sinc Bollinger Bands indicator represents a significant advancement in technical analysis tools. By combining the ideal low-pass filter characteristics of the sinc function, the practical benefits of Kaiser windowing, and an innovative approach to volatility measurement, this indicator provides traders and analysts with a sophisticated instrument for examining price trends and market volatility.
Its implementation in Pine Script contributes to the TradingView community by making advanced signal processing and statistical techniques accessible for experimentation and further development in technical analysis. This indicator serves not only as a practical tool for market analysis but also as an educational resource for those interested in the intersection of signal processing, statistics, and financial markets.
Related:
Half Cup [LuxAlgo]The Half Cup indicator detects and displays patterns with the shape of a Half Cup , initiating a channel. From this channel, breakouts are detected and highlighted with dots.
Users can control the shape of the Half Cup and the channel length through various settings.
Do note that the displayed half cups are displayed retrospectively, making them subject to backpainting.
🔶 USAGE
The idea behind the indicator is derived from the Cup & Handle pattern, which requires waiting for the pattern full completion.
Our Half Cup publication aims to find opportunities when the potential cup is only formed halfway.
In this example, a green dot shows the first breakout of the upper channel extremity. A few bars later, the price went under it, after which it returned above, triggering a second green dot. Both triggers were good opportunities in this case, and the price rose afterward.
The Half Cup pattern can be the start of a potential complete Cup & Handle (As in the example above, a complete Cup pattern (without the Handle ) is shown, manually drawn with dashed lines).
Every green/red dot, whether on a bullish or bearish pattern, points to a breakout respectively above/below the channel.
Besides drawing patterns and the corresponding breakouts, the Half Cup indicator can also provide insights into trends and potential opportunities in the long run.
🔶 DETAILS
🔹 Validation
Several criteria must be fulfilled before a visible pattern on the chart is drawn.
Calculations are done beforehand to know where the Half Cup pattern would be positioned.
The pattern's bottom and top edges are checked for the number of bars whose closing price is outside the half-cup area. When the number of breakouts above/below is equal to or lower than the user-defined settings ( Max % Breaks Top/Bottom ), the pattern is drawn together with a brighter-colored channel next to it.
Dots highlighting the channel's breakout can be drawn from that moment until the end of both channel lines.
🔹 Positioning
Users can adjust the following settings to fit their needs:
% Broadness: Moves the Top/Bottom line (bullish or bearish) diagonally upwards/downwards.
Vertical Shift: Shifts the entire pattern up/down.
Channel Length: Sets the line length of the channel.
Note that adjusting the position of the pattern will change the validation; the script will be rerun to check if patterns are still valid or if new patterns can be drawn. Some patterns may disappear, while new ones may appear.
Before adjusting the position, the user can set Max % Breaks Top/Bottom at 100%. When the positioning is set, Max % Breaks Top/Bottom can be set as desired.
🔹 Updated Drawings
The Half Cup pattern is always drawn retrospectively (that is it is subject to backpainting), the channel is drawn from the bar from where the pattern is detected. Every breakout of the channel will remain visible as dots.
When a new swing high/low is found while the previous swing low/high remains the same, the pattern is updated to minimize clutter. The dots of earlier drawings will remain visible (to ensure no repainting occurs), but the color becomes faded, as such bright dots are associated with patterns that are visible on the chart, while faded dots are from removed/updated patterns.
🔶 SETTINGS
Swing Length: Period used for the swing detection, with higher values returning longer-term Swing Levels.
🔹 Validation
Max % Breaks Bottom: Allowed maximum amount of bars where the closing price is below the bottom of the Half Cup pattern against the total width of the pattern (bars).
Max % Breaks Top: Allowed maximum amount of bars where the closing price is above the top of the Half Cup pattern against the total width of the pattern (bars).
🔹 Positioning
% Broadness: Moves the Top/Bottom line (bullish or bearish) diagonally upwards/downwards.
Vertical Shift: Shifts the entire pattern up/down.
Channel Length: Sets the line length of the channel.
Linear Regression Channel 200█ OVERVIEW
This a simplified version of linear regression channel which use length 200 instead of traditional length 100.
█ FEATURES
Color change depends light / dark mode.
█ LIMITATIONS
Limited to source of closing price and max bars back is 1500.
█ SIMILAR
Regression Channel Alternative MTF
Regression Channel Alternative MTF V2
Nadaraya-Watson Envelope (Non-Repainting) Logarithmic ScaleIn the fast-paced world of trading, having a reliable and accurate indicator can make all the difference. Enter the Nadaraya-Watson Envelope Indicator, a cutting-edge tool designed to provide traders with valuable insights into market trends and potential price movements. In this article, we'll explore the advantages of this non-repainting indicator and how it can empower traders to make informed decisions with confidence.
Accurate Price Analysis:
The Nadaraya-Watson Envelope Indicator operates in a logarithmic scale, allowing for more accurate price analysis. By considering the logarithmic nature of price movements, this indicator captures the subtle nuances of market dynamics, providing a comprehensive view of price action. Traders can leverage this advantage to identify key support and resistance levels, spot potential breakouts, and anticipate trend reversals.
Non-Repainting Reliability:
One of the most significant advantages of the Nadaraya-Watson Envelope Indicator is its non-repainting nature. Repainting indicators can mislead traders by changing historical signals, making it difficult to evaluate past performance accurately. With the non-repainting characteristic of this indicator, traders can have confidence in the reliability and consistency of the signals generated, ensuring more accurate backtesting and decision-making.
Customizable Parameters:
Every trader has unique preferences and trading styles. The Nadaraya-Watson Envelope Indicator offers a range of customizable parameters, allowing traders to fine-tune the indicator to their specific needs. From adjusting the lookback window and relative weighting to defining the start of regression, traders have the flexibility to adapt the indicator to different timeframes and trading strategies, enhancing its effectiveness and versatility.
Envelope Bounds and Estimation:
The Nadaraya-Watson Envelope Indicator calculates upper and lower bounds based on the Average True Range (ATR) and specified factors. These envelope bounds act as dynamic support and resistance levels, providing traders with valuable reference points for potential price targets and stop-loss levels. Additionally, the indicator generates an estimation plot, visually representing the projected price movement, enabling traders to anticipate market trends and make well-informed trading decisions.
Visual Clarity with Plots and Fills:
Clear visualization is crucial for effective technical analysis. The Nadaraya-Watson Envelope Indicator offers plots and fills to enhance visual clarity and ease of interpretation. The upper and lower boundaries are plotted, along with the estimation line, allowing traders to quickly assess price trends and volatility. Fills between the boundaries provide a visual representation of different price regions, aiding in identifying potential trading opportunities and risk management.
Conclusion:
The Nadaraya-Watson Envelope Indicator is a powerful tool for traders seeking accurate and reliable insights into market trends and price movements. With its logarithmic scale, non-repainting nature, customizable parameters, and visual clarity, this indicator equips traders with a competitive edge in the financial markets. By harnessing the advantages offered by the Nadaraya-Watson Envelope Indicator, traders can navigate the complexities of trading with confidence and precision. Unlock the potential of this advanced indicator and elevate your trading strategy to new heights.
RAINBOW AVERAGES - INDICATOR - (AS) - 1/3
-INTRODUCTION:
This is the first of three scripts I intend to publish using rainbow indicators. This script serves as a groundwork for the other two. It is a RAINBOW MOVING AVERAGES indicator primarily designed for trend detection. The upcoming script will also be an indicator but with overlay=false (below the chart, not on it) and will utilize RAINBOW BANDS and RAINBOW OSCILLATOR. The third script will be a strategy combining all of them.
RAINBOW moving averages can be used in various ways, but this script is mainly intended for trend analysis. It is meant to be used with overlay=true, but if the user wishes, it can be viewed below the chart. To achieve this, you need to change the code from overlay=true to false and turn off the first switch that plots the rainbow on the chart (or simply move the indicator to a new pane below). By doing this, you will be able to see how all four conditions used to detect trends work on the chart. But let's not get ahead of ourselves.
-WHAT IS IT:
In its simplest form, this indicator uses 10 moving averages colored like a rainbow. The calculation is as follows:
MA0: This is the main moving average and can be defined with the type (SMA, EMA, RMA, WMA, SINE), length, and price source. However, the second moving average (MA1) is calculated using MA0 as its source, MA2 uses MA1 as the data source, and so on, until the last one, MA9. Hence, there are 10 moving averages. The first moving average is special as all the others derive from it. This indicator has many potential uses, such as entry/exit signals, volatility indication, and stop-loss placement, but for now, we will focus on trend detection.
-TREND DETECTION:
The indicator offers four different background color options based on the user's preference:
0-NONE: No background color is applied as no trend detection tools is being used (boring)
1-CHANGE: The background color is determined by summing the changes of all 10 moving averages (from two bars). If the sum is positive and not falling, the background color is GREEN. If the sum is negative and not rising, the background color is RED. From early testing, it works well for the beginning of a movement but not so much for a lasting trend.
2-RAINBW: The background color is green when all the moving averages are in ascending order, indicating a bullish trend. It is red when all the moving averages are in descending order, indicating a bearish trend. For example, if MA1>MA2>MA3>MA4..., the background color is green. If MA1 threshold, and red indicates width < -threshold.
4-DIRECT: The background color is determined by counting the number of moving averages that are either above or below the input source. If the specified number of moving averages is above the source, the background color is green. If the specified number of moving averages is below the source, the background color is red. If all ten MAs are below the price source, the indicator will show 10, and if all ten MAs are above, it will show -10. The specific value will be set later in the settings (same for 3-TSHOLD variant). This method works well for lasting trends.
Note: If the indicator is turned into a below-chart version, all four color options can be seen as separate indicators.
-PARAMETERS - SETTINGS:
The first line is an on/off switch to plot the skittles indicator (and some info in the tooltip). The second line has already been discussed, which is the background color and the selection of the source (only used for MA0!).
The line "MA1: TYP/LEN" is where we define the parameters of MA0 (important). We choose from the types of moving averages (SMA, EMA, RMA, WMA, SINE) and set the length.
Important Note: It says MA1, but it should be MA0!.
The next line defines whether we want to smooth MA1 (which is actually MA0) and the period for smoothing. When smoothing is turned on, MA0 will be smoothed using a 3-pole super smoother. It's worth noting that although this only applies to MA0, as the other MAs are derived from it, they will also be smoothed.
In the line below, we define the type and length of MAs for MA2 (and other MAs except MA0). The same type and length are used for MA1 to MA9. It's important to remember that these values should be smaller. For example, if we set 55, it means that MA1 is the average of 55 periods of MA0, MA2 will be 55 periods of MA1, and so on. I encourage trying different combinations of MA types as it can be easily adjusted for ur type of trading. RMA looks quirky.
Moving on to the last line, we define some inputs for the background color:
TSH: The threshold value when using 3-TSHOLD-BGC. It's a good idea to change the chart to a pane below for easier adjustment. The default values are based on EURUSD-5M.
BG_DIR: The value that must be crossed or equal to the MA score if using 4-DIRECT-BGC. There are 10 MAs, so the maximum value is also 10. For example, if you set it to 9, it means that at least 9 MAs must be below/above the price for the script to detect a trend. Higher values are recommended as most of the time, this indicator oscillates either around the maximum or minimum value.
-SUMMARY OF SETTINGS:
L1 - PLOT MAs and general info tooltip
L2 - Select the source for MA0 and type of trend detection.
L3 - Set the type and length of MA0 (important).
L4 - Turn smoothing on/off for MA0 and set the period for super smoothing.
L5 - Set the type and length for the rest of the MAs.
L6 - Set values if using 4-DIRECT or 3-TSHOLD for the trend detection.
-OTHERS:
To see trend indicators, you need to turn off the plotting of MAs (first line), and then choose the variant you want for the background color. This will plot it on the chart below.
Keep in mind that M1 int settings stands for MA0 and MA2 for all of the 9 MAs left.
Yes, it may seem more complicated than it actually is. In a nutshell, these are 10 MAs, and each one after MA0 uses the previous one as its source. Plus few conditions for range detection. rest is mainly plots and colors.
There are tooltips to help you with the parameters.
I hope this will be useful to someone. If you have any ideas, feedback, or spot errors in the code, LET ME KNOW.
Stay tuned for the remaining two scripts using skittles indicators and check out my other scripts.
-ALSO:
I'm always looking for ideas for interesting indicators and strategies that I could code, so if you don't know Pinescript, just message me, and I would be glad to write your own indicator/strategy for free, obviously.
-----May the force of the market be with you, and until we meet again,
StdDev ChannelsThis script draws two sets of standard deviation channels on the price chart, providing a nuanced view of price volatility over different lengths.
The script starts by declaring a set of user-defined inputs allowing traders to customize the tool according to their individual requirements. The price input sets the source of the price data, defaulting to the closing price but customizable to use open, high, or low prices. The deviations parameter defines the width of the channels, with larger numbers resulting in wider channels. The length and length2 inputs represent the number of periods (in bars) that the script considers when calculating the regression line and standard deviation. Traders can also personalize the visual aspects of the indicator on the chart using the color, linewidth, and linestyle parameters.
Calculation of Standard Deviation:
The core of this script lies in calculating the regression line and standard deviation. This is where the InertiaAll function comes into play. This function calculates the linear regression line, which serves as the middle line of each channel. The function takes in two parameters: y (price data) and n (length for calculation). It returns an array containing the values for the regression line (InertiaTS), counter variable (x), slope of the line (a), and y-intercept (b). The standard deviation is then calculated using the built-in function ta.stdev, which measures the amount of variation or dispersion from the average.
After the calculation, the script proceeds to draw the channels. It creates two sets of lines (upper, middle, and lower) for each channel. These lines are initialized at the lowest price point on the chart (low). The coordinates for these lines get updated in the last section of the script, which runs only on the last bar on the chart (if barstate.islast). The functions line.set_xy1 and line.set_xy2 are used to adjust the starting and ending points for each line, forming the channels.
If the "full range" toggle is enabled, the script uses the maximum number of bars available on the chart to calculate the regression and standard deviation. This can give a broader perspective of the price's volatility over the entire available data range.
A Basic Strategy
The channels generated by this script may inform your trading decisions. If the price hits the upper line of a channel, it could suggest an 'overbought' condition indicating a potential selling opportunity. Conversely, if the price hits the lower line, it might signal an 'oversold' condition, suggesting a buying opportunity. The second channel, calculated over a different length, may serve to confirm these signals or identify longer-term trends.
Trend Channels With Liquidity Breaks [ChartPrime]Trend Channels
This simple trading indicator is designed to quickly identify and visualize support and resistance channels in any market. The primary purpose of the Trend Channels with Liquidity Breaks indicator is to recognize and visualize the dominant trend in a more intuitive and user-friendly manner.
Main Features
Automatically identifies and plots channels based on pivot highs and lows
Option to extend the channel lines
Display breaks of the channels where liquidity is deemed high
Inclusion of volume data within the channel bands (optional)
Market-friendly and customizable colors and settings for easy visual identification
Settings
Length: Adjust the length and lookback of the channels
Show Last Channel: Only shows the last channel
Volume BG: Shade the zones according to the volume detected
How to Interpret
Trend Channels with Liquidity Breaks indicator uses a combination of pivot highs and pivot lows to create support and resistance zones, helping traders to identify potential breakouts, reversals or continuations of a trend.
These support and resistance zones are visualized as upper and lower channel lines, with a dashed center line representing the midpoint of the channel. The indicator also allows you to see the volume data within the channel bands if you choose to enable this functionality. High volume zones can potentially signal strong buying or selling pressure, which may lead to potential breakouts or trend confirmations.
To make the channels more market-friendly and visually appealing, Trend Channels indicator also offers customizable colors for upper and lower lines, as well as the possibility to extend the line lengths for further analysis.
The indicator displays breaks of key levels in the market with higher volume.
Regression Envelope MTFThe Regression Envelope MTF indicator is a technical analysis tool that uses linear regression to identify potential price reversal points in the market. The indicator plots a linear regression line based on the selected price source over a specified length, and adds and subtracts a multiple of the standard deviation to create upper and lower bands around the line.
One advantage of using linear regression over the traditional envelope indicator is that it takes into account the slope of the trend, rather than assuming that the trend is linear. This means that the bands will adapt to the slope of the trend, which can provide more accurate signals in trending markets.
Another advantage of using linear regression over a simple moving average (SMA) is that it is less sensitive to outliers. SMAs can be heavily influenced by extreme values in the data, which can result in false signals. Linear regression, on the other hand, is more robust to outliers, which can lead to more reliable signals.
Overall, the Regression Envelope MTF indicator can be a useful tool for traders and investors looking to identify potential price reversal points and generate trading signals. However, it should be used in conjunction with other technical analysis tools and with proper risk management strategies in place.
Donchian Channel Smoothed (Linear Regression)The script is an implementation of the Donchian Channel Smoothed indicator using linear regression to smooth the data. The indicator plots three curves: the middle curve, which represents the average of the upper and lower curves, and the upper and lower curves, which are the standard Donchian channels.
The smoothing is done using linear regression on the highest and lowest of the given period. This helps filter out the noise in the data and provides a smoother curve that can help traders identify trends and key levels of support and resistance. The advantages of using linear regression for smoothing are reduced data volatility, better identification of long-term trends, and improved ability to identify support and resistance levels.
Using this indicator, traders can identify potential entry and exit points in a trend, as well as key support and resistance levels. Donchian channels are also useful for measuring asset volatility and determining trading range boundaries.
In summary, using linear regression to smooth the data in the Donchian Channel Smoothed indicator presents significant advantages for traders, such as reduced data volatility and better identification of long-term trends. This allows traders to more easily identify support and resistance levels and make more informed trading decisions.
BD Momentum ChannelIntroducing the BD Momentum Channel, a new indicator that helps traders identify market trends and momentum through a combination of upper and lower channels, as well as fast and slow moving averages. The BD Momentum Channel can be used in standalone mode or in combination with other technical analysis tools to enhance trading strategies. We recommend using it in combination with the Wave Master indicator.
To use the indicator, simply input the desired length for the upper and lower channels, as well as the smoothing periods for the fast and slow moving averages or use the provided defaults. The Bull and Bear Levels can be set to the desired values, while the Extreme Bull and Extreme Bear Levels can be used to signal significant market movements.
The BD Momentum Channel works by calculating the highest and lowest prices over a specified period, and then finding the average of these two values, which is used as the basis for the upper and lower channels. The width of the channel is calculated as the difference between the upper and lower channels, while the position of the current price in relation to the upper and lower channels is used to determine the percentage change and which half of the channel the price is in.
The fast and slow moving averages are then calculated using a simple moving average function, and plotted as histograms on the chart. The Bull and Bear Levels are also plotted on the chart as horizontal lines, providing a quick reference for market direction.
The BD Momentum Channel also includes a range of color-coded signals, including extreme bull and bear levels, and cross-under and cross-over signals that can be used to confirm trends and changes in market momentum.
Overall, the BD Momentum Channel is a powerful tool for traders looking to identify market trends and momentum, and can be easily customized to suit individual trading strategies.
TideMasterThe TideMaster is an alternative to the classic moving average, providing a volatility channel around its centerline. The idea of such envelope has been popularized by many technicians such as Jake Bernstein and Jeffrey Kennedy.
The channel creates a virtual S/R zone which is ideal trend following and pullback entries after impulsive movements. It also acts as a tool to avoid price whipsaws and to provide a simple heuristic for entry and stop loss placement within a moving average system.
This indicator has the following unique features:
- Gradient Color Centerline to track the moving average slope/direction.
- Gradient Color Volatility Channel with adjustable width.
- 5 Moving Average Types: EMA,SMA,HMA,WMA & VWMA.
Enjoy!
Alex's Dikfat Velocity 2hr CCI Color SignalerAlex's Dikfat Velocity 2hr CCI Color Signaler
As most traders have experienced at one time or another, over bought and oversold readings are relative in nature and do not always work as a standalone reading.
Momentum indicators such as the Commodity Channel Index ( CCI ) have to be understood and read correctly to determine the value in a momentum reading.
When an asset is "Overbought" or "Oversold" the reading can remain in this region Irrationally for extended periods as the market remains in irrational trend.
In order to better understand this and other readings on a momentum indicator clues such as divergence, exhaustion, continuation, time and frequency as well as the actual velocity of the movement must be measured. In addition, there are very specific measurement lines on the CCI that must be read and that can reject or break and result in the asset either loosing or gaining momentum in one direction or the other. These are the dashed lines in the background.
For the purposes of this Indicator, the actual function, characterization and use of CCI will not be explained here as the colored indications themselves will do all the work for you.
It is very important to know that the calculations used to signal the color filling ARE NOT based on simple breaks of the dashed background lines as traditionally read with a CCI indicator.
The calculations used in this Indicator are based on a very fine tuned mathematical algorithm that measure an unseen element within the CCI . When the VELOCITY of a move in momentum is met, the color fills will begin. When the VELOCITY of the move changes, so to will colorization. This has led to some of the best High Probability Long and Short Sale signaling in any CCI indicator. Pairing this with your favorite chart indicators and personal analysis will result in high tradability but can also be used stand alone.
Remember: No one single indicator should ever be used to determine market signaling.
A basic understanding of a CCI indicator is recommended before using this indicator.
This indicator and the proprietary calculations used were built and meant to be used on the 2 Hour Timeframe. The indicator is open to all time frames and accuracy increases as the time frame increases.
It is recommended that if you use this indicator on a lower timeframe, to pull CCI readings from a higher Timeframe as found in the settings.
This indicator signals long and short opportunities. High Probability long and short trades, bullish and bearish divergence building, market time traps and bullish / bearish continuation as well as exhaustion of these moves.
There is also a companion indicator which will signal the High Probability Long and Short trades on the candle chart called "Alex's Dikfat CCI Equity Signaler" Which will place white Triangles on the candle chart showing high probability long entries and Orange Triangles for High Probability short entries. These are also built into the CCI line and can be turned on in this indicator.
Color Code:
Bullish Continuation: (Background Color Black)
The function of the black background colorization is to alert the user that a bullish move has begun and is currently in a strong continuation period. the longer the black background color draws, the more sustained or trending up the current move is. When these background lines begin to break and start to appear as more frequent broken background lines, exhaustion in the move can be assumed. When the black stops drawing all together, the strength of the continuation move is gone.
Bearish Continuation: (Background Color Fuchsia)
The function of the fuchsia background colorization is to alert the user that a bearish move has begun and is currently in a strong continuation period. the longer the fuchsia background color draws, the more sustained or trending down the current move is. When these background lines begin to break and start to appear as more frequent broken background lines, exhaustion in the move can be assumed. When the fuchsia stops drawing all together, the strength of the continuation move is gone.
High Probability Long/Short:
These buy and sell opportunities were designed to give a trader the best signal/entry on a Long or a Short with the highest probability of making a large and typically sustained impulse move.
High Probability Long: (White Color Fill)
The High Probability Long is a signal to BUY with the best possible entry on an a pending large impulse move to the upside. When White begins to fill, The long is extremely likely. The signal is confirmed on the close of the following candle after white begins to draw unless an opposing color immediately follows, or white dips below the zero line. White will always usually start just below the zero line in the highest probability scenarios.
High Probability Short: (Orange Color Fill)
The High Probability Short is a signal to SELL SHORT with the best possible entry on a pending large impulse move to the downside. When Orange begins to fill, The Short is extremely likely. The signal is confirmed on the close of the following candle after orange begins to draw unless an opposing color immediately follows. Some of the best entries for Orange are when it starts at the END of a black stripe in the background and better so when Orange dips below zero for entry. The signal was designed to color early enough to get in a short during consolidation before the move.
Long and Short Opportunities: Long and Short opportunities are just as they sound. Coloring will signal green for a long opportunity and red for a short opportunity. These opportunities are not always guaranteed and usually result in an lesser impulse move in one direction with a shorter duration.
Long Opportunity: (Green)
The Long Opportunity is a signal that a Long is possible however with less likely odds of a larger more sustained move. When Green begins to fill, a long opportunity is available. The signal is confirmed on the close of the following candle after green begins to draw unless an opposing color immediately follows, or green dips below the zero line. Green will always usually start just above the zero line and have the best opportunities at the end of Bullish Divergence (Blue) at the end of Bearish Continuation (Fuchsia) or a non filled CCI .
Short Opportunity: (Red)
The Short Opportunity is a signal that a Short is possible however with less likely odds of a larger more sustained move. When Red begins to fill, a short opportunity is available. The signal is confirmed on the close of the following candle after red begins to draw unless an opposing color immediately follows. Some of the best entries for Red are when it starts at the END of a black stripe in the background (higher odds than other red signaling). The signal was designed to color early enough to get in a short during consolidation before the move and better so if orange develops after red.
Bullish Divergence: (Dark Blue)
Dark Blue colors when Bullish Divergence is detected. Bullish divergence is a signal that momentum is building higher within the asset for an up move while price action in the candle chart makes lower lows. Bullish Divergence is not a signal to buy or sell but rather a sign post to say WAIT. Bullish divergence is building and a Long is coming. Some traders will buy bullish divergence in anticipation of a move and is only equitable if you have the cash and resolve to follow it through for as long as it is developing. Buying or selling divergence right away is not always the best practice unless a hard dip below all momentum lines followed by an immediate buy signal from white or green resulting in a drop base rally.
Bearish Divergence: (Dark Maroon)
Dark Maroon colors when Bearish Divergence is detected. Bearish divergence is a signal that momentum is dropping out of the asset for a move lower while price action in the candle chart makes higher highs. Bearish Divergence is not a signal to buy or sell but rather a sign post to say WAIT. Bearish divergence is building and a Short is coming. Some traders will sell bearish divergence in anticipation of a move and is only equitable if you have the cash and resolve to follow it through for as long as it is developing. Buying or selling divergence right away is not always the best practice unless a hard rip above all momentum lines followed by an immediate sell signal from red or orange resulting in a rally base drop.
No Color Fill:
When CCI has no color fill whatsoever it is telling the trader there are no high velocity movements in momentum in any direction. Best practice is to do nothing and wait out the Time Trap currently on the chart until signaling develops.
Time and Frequency:
Time and frequency is notable throughout the indicator. First and foremost when CCI is not being filled it is best practice to do nothing as there is NO Velocity of Movement within the asset at that time. This is one of the most obvious of Time Traps.
Bullish and Bearish Divergence is also a type of Time Trap. The longer these develop, the more weak hands are shaken out of the market and derivatives traders have their premium burned. Best practice with divergences is also to wait until adequate signaling develops, or be willing to buy or sell the appropriate divergence by accumulating or distributing for as long as it develops; or simply to buy/sell and hold for the move.
Any Sustained color for extended periods of time is also a time trap signaling to the trader that the asset is being irrational in its present move.
Bullish and Bearish Continuation:
These also deal with time and frequency most importantly. When we are on a sustained Bull Run, black will color in the background continuously. When the black starts to barcode or break up, exhaustion of the bull run is assumed as the frequency of the run becomes erratic. Inversely, When we are on a sustained Bear Run, fuchsia will color in the background continuously. When the fuchsia starts to barcode or break up, exhaustion of the bear run is assumed as the frequency of the run becomes erratic.
The color scheme is designed to be read from darkest to lightest when a sequence of events is found. I.E Dark Maroon>Red>Orange or Inversely Dark Blue>Green>White
In keeping with the best practices and traditions of TradingView, we have published this as a public script with the best intentions of aiding the TradingView community in unique and valuable ways. While some of our best indicators are by invite only, we feel an addition to the community of this magnitude will add to the fabric and substance of community.
Hodrick-Prescott Channel [Loxx]Hodrick-Prescott Channel is a fast and slow moving average that moves inside a channel. Breakouts are when the fast ma crosses up over the slow ma and breakdowns are the opposite. The white moving average is the fast ma, the slow moving average is the red/green ma.
What is Hodrick–Prescott filter?
The Hodrick–Prescott filter (also known as Hodrick–Prescott decomposition) is a mathematical tool used in macroeconomics, especially in real business cycle theory, to remove the cyclical component of a time series from raw data. It is used to obtain a smoothed-curve representation of a time series, one that is more sensitive to long-term than to short-term fluctuations. The adjustment of the sensitivity of the trend to short-term fluctuations is achieved by modifying a multiplier Lambda.
The filter was popularized in the field of economics in the 1990s by economists Robert J. Hodrick and Nobel Memorial Prize winner Edward C. Prescott, though it was first proposed much earlier by E. T. Whittaker in 1923.
There are some drawbacks to use the HP filter than you can read here: en.wikipedia.org
Included
Bar coloring
Signals
Alerts
Adaptive ATR Keltner Channels [Loxx]Adaptive ATR Channels are adaptive Keltner channels. ATR is calculated using a rolling signal-to-noise ratio making this indicator flex more to changes in price volatility than the fixed Keltner Channels.
What is Average True Range (ATR)?
The average true range (ATR) is a technical analysis indicator, introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems, that measures market volatility by decomposing the entire range of an asset price for that period.1
The true range is taken as the greatest of the following: current high less the current low; the absolute value of the current high less the previous close; and the absolute value of the current low less the previous close. The ATR is then a moving average, generally using 14 days, of the true ranges.
What are Keltner Channel (ATR)?
Keltner Channels are volatility-based bands that are placed on either side of an asset's price and can aid in determining the direction of a trend.
The Keltner channel uses the average-true range (ATR) or volatility, with breaks above or below the top and bottom barriers signaling a continuation.
Regression Channel with projectionEXPERIMENTAL:
Auto adjusting regressive channel with projection.
Linear regression is a linear approach to modeling the relationship between a dependent variable and one or more independent variables.
In linear regression , the relationships are modeled using linear predictor functions whose unknown model parameters are estimated from the data.
Disclaimer :
Success in trading is all about following your trading strategy and indicators should fit into your own strategy, and not be traded purely on.
This script is for informational and educational purposes only. Use of the script does not constitute professional and / or financial advice. You are solely responsible for evaluating the outcome of the script and the risks associated with using the script. In exchange for the use of the script, you agree not to hold monpotejulien TradingView user responsible for any possible claims for damages arising out of any decisions you make based on the use of the script.
Daily Scalping Moving AveragesThis is a technical analysis study based on the most fit leading indicators for short timeframes like EMA and SMA.
At the same time we have daily channel made from the last 2 weeks of ATR values, which will give us the daily top and bottom expected values(with 80%+ confidence)
We have 3 groups of lengths for short length, medium length and a bigger length.
At the same time we combine it with the daily vwap values .
In the end we are going to have a total of 7 indicators telling us the direction.
The way we can use it :
The max ratings that we can have are +7 for long and -7 for short
In general once we have at least 5 indicators(fast and medium ones) giving us a direction, there is a high chance that we can scalp that trend and then we can exit either when we will be at +7 or close to neutral point
At the same time is very important to be aware of the current position inside of the TOP/BOTTOM channel that we have.
For example lets assume we are at 40k on BTC and our top channel is around 41-42k while the bottom is around 38k. In this case the margin that we have for long is much smaller than for short, so we should be prepared to exit once we reach the top values and from there wait and see if there is a huge continuation or a reversal. If the top channel was hit and the market started the rebounce going downwards and the moving averages confirms it, then we have a huge advantage using the top points as a STOP LOSS and continue the short movements, giving us an amazing risk/reward ratio .
If you have any questions let me know !
Smarter MACD BandThe Smarter MACD displayed as a band instead of an oscillator. A classic MACD with average peak and dip lines. The lighter green and red horizontal lines are the average peak and dip of the entire span, respectively. The second, bolder of the two lines are the averages of the peaks and dips above and below the overall peak and dip averages. The filled in color is to help visualize these averages and possible trade setups.
ZigZag Channel with projection forecastThis indicator is created on top of existing Zigzag indicator .
The projection channel starts at the end of the last ZigZag line.
Disclaimer
Success in trading is all about following your trading strategy and indicators should fit into your own strategy, and not be traded purely on.
This script is for informational and educational purposes only. Use of the script does not constitute professional and / or financial advice. You are solely responsible for evaluating the outcome of the script and the risks associated with using the script. In exchange for the use of the script, you agree not to hold monpotejulien TradingView user responsible for any possible claims for damages arising out of any decisions you make based on the use of the script.
EMA channel with projection forecastExponential Moving Average Channel with projection forecast.
Riding a bull run is almost always riding an EMA value.
This indicator plots displaced EMA values guggesting possible sell targets.
Disclaimer
Success in trading is all about following your trading strategy and indicators should fit into your own strategy, and not be traded purely on.
This script is for informational and educational purposes only. Use of the script does not constitute professional and / or financial advice. You are solely responsible for evaluating the outcome of the script and the risks associated with using the script. In exchange for the use of the script, you agree not to hold monpotejulien TradingView user responsible for any possible claims for damages arising out of any decisions you make based on the use of the script.
Pivot Trend LevelsYou can use this indicator to detect the levels and trend.
I used the highest of the two last highest pivots and the lowest of the two last lowest pivots to calculate "max" and "min" or high level or low level.
I also calculate the average of the 4 values to reach the average line which could be a trend detector in higher lengths.
Default length is 3 but using 10 or 20 as length is really good as trending detector.
I need help to upgrade a trend detector system. please read the script for more information.
Thank you so much.
Volatility ChannelThis script is based on an idea I have had for bands that react better to crypto volatility. It calculates a Donchian Channel, SMMA-Smoothed True Range, Bollinger Bands (standard deviation), and a Keltner Channel (average true range) and averages the components to construct its bands/envelopes. This way, hopefully band touches are a more reliable indicator of a temporary bottom, and so on. Secondary coloring for strength of trend is given as a gradient based on RSI.
