SuperTrendThis is a redesign of the SuperTrend indicator. It removes stupid transitions between SuperTrend states and highlights initial points for both lines.
SuperTrend is a moving stop and reversal line based on the volatility (ATR).
Cerca negli script per "supertrend"
SuperTrend Polyfactor Oscillator [LuxAlgo]The SuperTrend Polyfactor Oscillator is an oscillator based on the popular SuperTrend indicator that aims to highlight information returned by a collection of SuperTrends with varying factors inputs.
A general consensus is calculated from all this information, returning an indication of the current market sentiment.
🔶 USAGE
Multiple elements are highlighted by the proposed oscillator. A mesh of bars is constructed from the difference between the price and a total of 20 SuperTrends with varying factors. Brighter colors of the mesh indicate a higher amount of aligned SuperTrends indications.
The factor input of the SuperTrends is determined by the user from the Starting Factor setting which determines the factor of the shorter-term SuperTrend, and the Increment settings which control the step between each factor inputs.
Using higher values for these settings will return information for longer-term term price variations.
🔹 Consensus
From the collection of SuperTrends, a consensus is obtained. It is calculated as the median of all the differences between the price and the collection of SuperTrends.
This consensus is highlighted in the script by a blue and orange line, with a blue color indicating an overall bullish market, and orange indicating a bearish market.
Both elements can be used together to highlight retracements within a trend. If we see various red bars while the general consensus is bullish, we can interpret it as the presence of a retracement.
🔹 StDev Area
The indicator includes an area constructed from the standard deviation of all the differences between the price and the collection of SuperTrends.
This area can be useful to see if the market is overall trending or ranging, with a consensus over the area indicative of a trending market.
🔹 Normalization
Users can decide to normalize the results and constrain them within a specific range, this can allow obtaining a lower degree of variations of the indicator outputs. Two methods are proposed "Absolute Sum", and "Max-Min".
The "Absolute Sum" method will divide any output returned by the indicator by the absolute sum of all the differences between the price and SuperTrends. This will constrain all the indicator elements in a (1, -1) scale.
The "Max-Min" method will apply min-max normalization to the indicator outputs (with the exception of the stdev area). This will constrain all the indicator elements in a (0, 1) scale.
🔶 SETTINGS
Length: ATR Length of all calculated SuperTrends.
Starting Factor: Factor input of the shorter-term SuperTrend.
Increment: Step value between all SuperTrends factors.
Normalize: Normalization method used to rescale the indicator output.
Multiple SuperTrends - evoSupertrend is one of the most popular and easy to use indicators out there. Here are 15 supertrends each having a different ATR multiple from price. This can be used to find ranges (often followed by a reversal) or to create a filter for fake signals.
In the input tab "Spacing" you can change the space between each supertrend, setting this to 0 would be a normal supertrend. You can also change style, color, line width and transparency all in the input tab.
Pine code tip: Change line 21 to 'true' to make editable true.
Enjoy! :)
MTF Fusion - SuperTrend [TradingIndicators]SuperTrend is undoubtedly one of the most popular and influential indicators ever developed, and by combining it with our MTF Fusion algorithm, we believe we have made it more useful and powerful than ever with MTF Fusion SuperTrend .
Let's start with a brief review of what the original SuperTrend indicator is and how it works.
What is SuperTrend?
The SuperTrend indicator is a popular technical analysis tool used in financial markets to identify the direction of a trend and potential entry and exit points for trading. It was developed by Olivier Seban, a French trader, and first introduced in his book "Tout le monde peut gagner en bourse" ("Everyone Can Win in the Stock Market") published in 2008.
SuperTrend is based on the concept of Average True Range (ATR) and uses two parameters: the multiplier and the period. The ATR measures the volatility of a financial instrument, and the SuperTrend indicator utilizes this information to plot a line above or below the price chart. It is an 'AITM' (Always In The Market) indicator, which, in its original form, is always 'long' or 'short' - and never 'flat'.
Here's a brief overview of how the SuperTrend indicator works:
Calculation of the ATR: The ATR is calculated using historical price data over a specified period. It measures the average range between high and low prices, reflecting the market's volatility.
Calculation of the upward (long/bullish) and downward (short/bearish) SuperTrend lines: The SuperTrend indicator multiplies the ATR by a specified multiplier (typically 2 or 3) and adds/subtracts the result from the current closing price. This calculation determines the upward and downward SuperTrend lines.
Plotting the Indicator: The SuperTrend indicator plots a line above the price chart when the price is trending upwards, and below the price chart when the price is trending downwards. The distance between the price and the indicator line provides insights into the strength of the trend.
Traders commonly use the SuperTrend indicator to identify potential buy or sell signals. For example, a buy signal may be generated when the price crosses above the indicator line, indicating an uptrend. Conversely, a sell signal may be triggered when the price crosses below the indicator line, signaling a downtrend.
What is MTF Fusion?
Multi-Timeframe (MTF) Fusion is the process of combining calculations from multiple timeframes higher than the chart's into one 'fused' value or indicator. It is based on the idea that integrating data from higher timeframes can help us to better identify short-term trading opportunities within the context of long-term market trends.
How does it work?
Let's use the context of this indicator, which calculates SuperTrend lines, as an example to explain how MTF Fusion works and how you can perform it yourself.
Step 1: Selecting Higher Timeframes
The first step is to determine the appropriate higher timeframes to use for the fusion calculation. These timeframes should typically be chosen based on their ability to provide meaningful price levels and action which actively affect the price action of the smaller timeframe you're focused on. For example, if you are trading the 5 minute chart, you might select the 15 minute, 30 minute, and hourly timeframe as the higher timeframes you want to fuse in order to give you a more holistic view of the trends and action affecting you on the 5 minute. In this indicator, four higher timeframes are automatically selected depending on the timeframe of the chart it is applied to.
Step 2: Gathering Data and Calculations
Once the higher timeframes are identified, the next step is to calculate the data from these higher timeframes that will be used to calculate your fused values. In this indicator, for example, the values of SuperTrend lines are calculated by determining the value of the SuperTrend indicator for all four higher timeframes.
Step 3: Fusing the Values From Higher Timeframes
The next step is to actually combine the values from these higher timeframes to obtain your 'fused' indicator values. The simplest approach to this is to simply average them. If you have calculated the value of a SuperTrend line from three higher timeframes, you can, for example, calculate your 'multi-timeframe fused level' as (HigherTF_SuperTrend_1 + HigherTF_SuperTrend_2 + HigherTF_SuperTrend_3) / 3.0.
Step 4: Visualization and Interpretation
Once the calculations are complete, the resulting fused indicator values are plotted on the chart. These values reflect the fusion of data from the multiple higher timeframes, giving a broader perspective on the market's behavior and potentially valuable insights without the need to manually consider values from each higher timeframe yourself.
What makes this script unique? Why is it closed source?
While the process described above is fairly unique and sounds simple, the truly important key lies in determining which higher timeframes to fuse together, and how to weight their values when calculating the fused end result in such a way that best leverages their relationship for useful TA.
This MTF Fusion indicator employs a smart, adaptive algorithm which automatically selects appropriate higher timeframes to use in fusion calculations depending on the timeframe of the chart it is applied to. It also uses a dynamic algorithm to adjust and weight the SuperTrend calculations depending on each higher timeframe's relationship to the chart timeframe. These algorithms are based on extensive testing and are the reason behind this script's closed source status.
Unlike in the original indicator, flat/'No Trend' areas exist in MTF Fusion SuperTrend!
MTF Fusion SuperTrend only shows a Fusion SuperTrend when the majority of SuperTrends from higher timeframes are in agreement and signaling the same trend direction . So, unlike the original SuperTrend indicator, MTF Fusion SuperTrend sometimes shows no SuperTrend line at all - typically in flat or indecisive areas, which we think is beneficial and helps to filter out noise on smaller timeframes.
Included Features
Fusion SuperTrend lines
Dynamic Multi-Timeframe SuperTrends
Filled zones to highlight trends
Full customization of SuperTrend parameters
Pre-built color stylings
Options
Fusion View: Show/hide the Fusion SuperTrends calculated from multiple higher timeframes
MTF View: Show/hide the SuperTrends from multiple higher timeframes used to calculate the Fusion SuperTrends
Fill Trending Zones: Show/hide the fill for 'trending zones' between price and the Fusion SuperTrends
Multiplier: Sets the multiplier for all SuperTrend calculations
ATR Period: Sets the ATR period for all SuperTrend calculations
Pre-Built Color Styles: Use a pre-built color styling (uncheck to use your own colors)
Manual Color Styles: When pre-built color styles are disabled, use these color inputs to define your own
SuperTrend Fisher [AlgoAlpha]🚀🌟 Introducing the "Super Fisher" by AlgoAlpha, a sophisticated and versatile tool crafted for the discerning trader. This innovative indicator merges the precision of the Fisher Transform with the adaptability of the SuperTrend methodology, offering a fresh perspective on market analysis. 📈🔍
Key Features:
🔶 Customizable Settings: Tailor the indicator to your trading style with adjustable inputs like "Fair-value Period" and "EMA Length". Choose your preferred "Up Color" and "Down Color" for a personalized visual experience.
🔶 Advanced Fisher Transform: At the heart of this tool is the Fisher Transform, an algorithm renowned for pinpointing potential price reversals by normalizing asset prices.
🔶 Integrated SuperTrend Functionality: This feature adds a layer of trend analysis, using the refined Fisher Transform values to generate dynamic, trend-following signals.
🔶 Enhanced Visualization: Clearly distinguishable bullish and bearish market phases, thanks to the color-coded plots of Fisher Transform and SuperTrend values.
🔶 Overbought/Oversold Levels: Visual plots and fills for these levels provide additional insights into market extremities.
🔶 Configurable Alerts: Stay informed with alerts for critical market movements like crossing the zero line or the SuperTrend.
Logic:
The "Super Fisher" operates on a sophisticated algorithm:
1. Fisher Transform Calculation: It starts by calculating the Detrended Price Oscillator (DPO) and its standard deviation. These values are then transformed using the Fisher Transform formula, which is subsequently smoothed with a Hull Moving Average.
2. SuperTrend Integration: The SuperTrend function employs the Fisher Transform values to create a dynamic trend-following tool. It calculates upper and lower bands and determines which one to use for market direction based on whether the fisher is above or below the bands, offering an insightful view of the price trend.
3. Overbought/Oversold Identification: The tool plots specific levels to indicate overbought and oversold conditions, aiding in the identification of potential reversal points.
Here's a closer look at the core calculations:
Calculates the Fisher Transform:
value = 0.0
value := round_(.66 * ((src - low_) / (high_ - low_) - .5) + .67 * nz(value ))
fish1 = 0.0
fish1 := .5 * math.log((1 + value) / (1 - value)) + .5 * nz(fish1 )
fish1 := ta.hma(fish1, l)
Calculates the SuperTrend:
supertrend(factor, atrPeriod, srcc) =>
src = srcc
atr = atrr(srcc, atrPeriod)
upperBand = src + factor * atr
lowerBand = src - factor * atr
prevLowerBand = nz(lowerBand )
prevUpperBand = nz(upperBand )
lowerBand := lowerBand > prevLowerBand or srcc < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or srcc > prevUpperBand ? upperBand : prevUpperBand
int direction = na
float superTrend = na
prevSuperTrend = superTrend
if na(atr )
direction := 1
else if prevSuperTrend == prevUpperBand
direction := srcc > upperBand ? -1 : 1
else
direction := srcc < lowerBand ? 1 : -1
superTrend := direction == -1 ? lowerBand : upperBand
How to Use:
📊 To maximize the potential of the "Super Fisher", follow these steps:
1. Customize Settings: Adjust the inputs to match your trading preferences. This includes setting the periods for the Fisher Transform and SuperTrend, as well as choosing colors for better visualization.
2. Analyze the Market: Observe the Fisher Transform and SuperTrend plots to gauge market direction. Pay special attention to color changes, as they indicate shifts in market sentiment.
3. Identify Extremes: Use the overbought and oversold plots to understand potential reversal points.
4. Set Alerts: Utilize the alert functionality to stay informed about significant market movements, ensuring you never miss an opportunity.
🔥 In summary the "Super Fisher" is a comprehensive market analysis tool designed to enhance your trading insights and decision-making process. 📉🌟🚨
Supertrend Channels [LuxAlgo]The Supertrend is one of the most used indicators by traders when it comes to determining whether the market is up-trending or down-trending.
This indicator is displayed as a trailing stop, showing a lower monotonic extremity during up-trends and an upper monotonic extremity during down-trends. Today we propose a channel indicator based on the Supertrend trailing stop using trailing maximas/minimas.
Settings
Length: Atr length used by the Supertrend indicator.
Mult: Multiplicative factor for the Atr used by the Supertrend indicator.
Usage
The ability of the indicator to show an up-trend or down-trend is the same as the Supertrend, with rising channels when an up-trend is detected by the Supertrend and declining channels when a down-trend is detected by the Supertrend.
The look of the channels can remind of the Donchian channels indicator, and as such a similar usage can be appropriate. The extremities can for example be used as supports and resistances.
Additionally, the channel's average can be used to filter out noisy variations in the price while keeping a good distance from the price.
Supertrended RSI [AlgoAlpha]🚀📈 Introducing the Supertrended RSI Indicator by AlgoAlpha!
Designed to empower your trading decisions, this innovative Pine Script™ creation marries the precision of the Relative Strength Index (RSI) with the dynamic prowess of the SuperTrend methodology. Whether you’re charting the course of cryptos, riding the waves of stock markets, or navigating the futures landscape, our SuperTrended RSI Indicator is your go-to tool for uncovering unique trend insights and crafting trading strategies. 🌟
Key Features:
🔍 Enhanced RSI Analysis: Combines the traditional RSI with a supertrend calculation for a dynamic look at market trends.
🔄 Multiple Moving Averages: Offers a selection of moving averages including SMA, HMA, EMA, and more for tailored analysis.
🎨 Customizable Visuals: Choose your own color scheme for uptrends and downtrends to match your trading dashboard.
📊 Flexible Input Settings: Tailor the indicator with customizable lengths, factors, and smoothing options.
⚡ Real-Time Alerts: Set alerts for bullish and bearish reversals to stay ahead of market movements.
Quick Guide to Using the Supertrended RSI Indicator
Maximize your trading with the Supertrended RSI by following these streamlined steps! 🚀✨
🛠 Add the Indicator: Search for "Supertrended RSI " in TradingView's Indicators & Strategies. Customize settings like RSI length, MA type, and Supertrend factors to fit your trading style.
🎨 Visual Customization: Adjust uptrend and downtrend colors for clear trend visualization.
📊 Market Analysis: Watch for the Supertrend color change for trend reversals. Use the 70 and 30 lines to spot overbought/oversold conditions.
🔔 Alerts: Enable notifications for reversal conditions to capture trading opportunities without constant chart monitoring.
How It Works:
At the core of this indicator is the combination of the Relative Strength Index (RSI) and the Supertrend framework, it does so by applying the SuperTrend on the RSI. The RSI settings can be adjusted for length and smoothing, with the option to select the data source. The Supertrend calculation takes into account a specified trend factor and the Average True Range (ATR) over a given period to determine trend direction.
Visual elements include plotting the RSI, its moving average, and the Supertrend line, with customizable colors for clarity. Overbought and oversold conditions are highlighted, and trend changes are filled with distinct colors.
🔔 Alerts: Enable alerts for crossover and crossunder events to catch every trading opportunity.
🌈 Whether you're a seasoned trader or just starting, the Supertrended RSI offers a fresh perspective on market trends. 📈
💡 Tip: Experiment with different settings to find the perfect balance for your trading style!
🔗 Explore, customize, and enhance your trading experience with the Supertrended RSI Indicator! Happy trading! 🎉
SuperTrended Moving AveragesA different approach to SuperTrend:
adding 100 periods Exponential Moving Average in calculation of SuperTrend and also 0.5 ATR Multiplier to have a clear view of the ongoing trend and also provides significant Supports and Resistances.
Default Moving Average type set as EMA (Exponential Moving Average) but users can choose from 11 different Moving Average types as:
SMA : Simple Moving Average
EMA : Exponential Moving Average
WMA : Weighted Moving Average
DEMA : Double Exponential Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average a.k.a. VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
HULL : Hull Moving Average
TILL : Tillson T3 Moving Average
Credits going to @CryptoErge for sharing his development to public.
SuperTrend AI (Clustering) [LuxAlgo]The SuperTrend AI indicator is a novel take on bridging the gap between the K-means clustering machine learning method & technical indicators. In this case, we apply K-Means clustering to the famous SuperTrend indicator.
🔶 USAGE
Users can interpret the SuperTrend AI trailing stop similarly to the regular SuperTrend indicator. Using higher minimum/maximum factors will return longer-term signals.
The displayed performance metrics displayed on each signal allow for a deeper interpretation of the indicator. Whereas higher values could indicate a higher potential for the market to be heading in the direction of the trend when compared to signals with lower values such as 1 or 0 potentially indicating retracements.
In the image above, we can notice more clear examples of the performance metrics on signals indicating trends, however, these performance metrics cannot perform or predict every signal reliably.
We can see in the image above that the trailing stop and its adaptive moving average can also act as support & resistance. Using higher values of the performance memory setting allows users to obtain a longer-term adaptive moving average of the returned trailing stop.
🔶 DETAILS
🔹 K-Means Clustering
When observing data points within a specific space, we can sometimes observe that some are closer to each other, forming groups, or "Clusters". At first sight, identifying those clusters and finding their associated data points can seem easy but doing so mathematically can be more challenging. This is where cluster analysis comes into play, where we seek to group data points into various clusters such that data points within one cluster are closer to each other. This is a common branch of AI/machine learning.
Various methods exist to find clusters within data, with the one used in this script being K-Means Clustering , a simple iterative unsupervised clustering method that finds a user-set amount of clusters.
A naive form of the K-Means algorithm would perform the following steps in order to find K clusters:
(1) Determine the amount (K) of clusters to detect.
(2) Initiate our K centroids (cluster centers) with random values.
(3) Loop over the data points, and determine which is the closest centroid from each data point, then associate that data point with the centroid.
(4) Update centroids by taking the average of the data points associated with a specific centroid.
Repeat steps 3 to 4 until convergence, that is until the centroids no longer change.
To explain how K-Means works graphically let's take the example of a one-dimensional dataset (which is the dimension used in our script) with two apparent clusters:
This is of course a simple scenario, as K will generally be higher, as well the amount of data points. Do note that this method can be very sensitive to the initialization of the centroids, this is why it is generally run multiple times, keeping the run returning the best centroids.
🔹 Adaptive SuperTrend Factor Using K-Means
The proposed indicator rationale is based on the following hypothesis:
Given multiple instances of an indicator using different settings, the optimal setting choice at time t is given by the best-performing instance with setting s(t) .
Performing the calculation of the indicator using the best setting at time t would return an indicator whose characteristics adapt based on its performance. However, what if the setting of the best-performing instance and second best-performing instance of the indicator have a high degree of disparity without a high difference in performance?
Even though this specific case is rare its however not uncommon to see that performance can be similar for a group of specific settings (this could be observed in a parameter optimization heatmap), then filtering out desirable settings to only use the best-performing one can seem too strict. We can as such reformulate our first hypothesis:
Given multiple instances of an indicator using different settings, an optimal setting choice at time t is given by the average of the best-performing instances with settings s(t) .
Finding this group of best-performing instances could be done using the previously described K-Means clustering method, assuming three groups of interest (K = 3) defined as worst performing, average performing, and best performing.
We first obtain an analog of performance P(t, factor) described as:
P(t, factor) = P(t-1, factor) + α * (∆C(t) × S(t-1, factor) - P(t-1, factor))
where 1 > α > 0, which is the performance memory determining the degree to which older inputs affect the current output. C(t) is the closing price, and S(t, factor) is the SuperTrend signal generating function with multiplicative factor factor .
We run this performance function for multiple factor settings and perform K-Means clustering on the multiple obtained performances to obtain the best-performing cluster. We initiate our centroids using quartiles of the obtained performances for faster centroids convergence.
The average of the factors associated with the best-performing cluster is then used to obtain the final factor setting, which is used to compute the final SuperTrend output.
Do note that we give the liberty for the user to get the final factor from the best, average, or worst cluster for experimental purposes.
🔶 SETTINGS
ATR Length: ATR period used for the calculation of the SuperTrends.
Factor Range: Determine the minimum and maximum factor values for the calculation of the SuperTrends.
Step: Increments of the factor range.
Performance Memory: Determine the degree to which older inputs affect the current output, with higher values returning longer-term performance measurements.
From Cluster: Determine which cluster is used to obtain the final factor.
🔹 Optimization
This group of settings affects the runtime performances of the script.
Maximum Iteration Steps: Maximum number of iterations allowed for finding centroids. Excessively low values can return a better script load time but poor clustering.
Historical Bars Calculation: Calculation window of the script (in bars).
SuperTrend Oscillator [LuxAlgo]This oscillator is made of three components, all derived from the SuperTrend indicator. This approach allows the user to easily determine overbought/sold zones, identify whether a retracement is present or if the price is ranging or trending. It also allows for the anticipation of the potential price cross with the SuperTrend.
We provide additional information including whether a signal returned by the SuperTrend was false, as well as the percentage of false signals.
Settings
Length: Period of the "average true range" used in the calculation of the SuperTrend
Mult: Multiplicative factor for the "average true range"
Smooth: Determines the degree of smoothing of the histogram
Misc:
Fixed Transparency: Use a fixed transparency for the main oscillator
Show Lines: Show the lines displayed by the indicator
Show Labels: Show the labels displayed by the indicator
Usage
The indicator is in a range of (-100,100) with values closer to 100/-100 indicating a stronger trend. The main oscillator value above 0 indicates that the price is above the SuperTrend.
It is possible to identify when a retracement is present in a trend. This is often indicated by an oscillator value moving within 50/-50.
Each overbought/oversold level can be used to determine potential exit points.
The indicator also includes two additional oscillators derived from the main oscillator. A smoothed version of the main oscillator (Signal), and a smoothed version of the difference between the Main and Signal oscillators (Histogram), thus making the oscillator part of the indicator more similar to MACD.
One can use the histogram to anticipate when the price might cross the SuperTrend by comparing the sign between the main and histogram. Potential false signals can also be filtered with this method.
Certain crosses between the price and SuperTrend can be filtered out when the histogram and main oscillator have a different sign (here main = 1, histogram = -1).
We include various indications in order to analyze the signals returned by the SuperTrend. The indicator displays symbols indicating whether a signal was false or not.
A cross symbol will be displayed at the top of the displayed lines when the previous Buy signal was false, else a checkmark is displayed. Symbols displayed at the bottom of the lines are referring to sell signals. We also provide a percentage of false signals, calculated over the entire chart history.
Details
The scaling method used is similar to max-min normalization. We first compute the difference between the price and SuperTrend and divide the result by the difference between the upper and lower extremity used to compute the SuperTrend. Values higher than (1,-1) can occur when price crosses the SuperTrend and as such we use the max and min functions to attenuate these.
The filter used to compute the signal line is based on exponential averaging and is fully adaptive. The smoothing factor used for its computation is the squared value of the main oscillator, divided by length . Since higher values of the oscillator are associated with trending markets, the filter will be closer to the main oscillator when the market is ranging.
Supertrend with RSI FilterThis indicator is an enhanced version of the classic Supertrend, incorporating an RSI (Relative Strength Index) filter to refine trend signals. Here is a detailed explanation of its functionality and key advantages over the traditional Supertrend.
1. Indicator Functionality
The indicator uses ATR (Average True Range) to calculate the Supertrend line, just like the classic version. However, it introduces an additional condition based on RSI to strengthen or weaken the Supertrend color based on market momentum.
2. Interpretation of Colors
The indicator displays the Supertrend line with dynamic colors based on trend direction and RSI strength:
- Uptrend (Supertrend in buy mode):
- Dark green (Teal): RSI above the defined threshold (default 50) → Strong bullish confirmation.
- Light gray: RSI below the threshold → Indicates a weaker uptrend or lack of confirmation.
- Downtrend (Supertrend in sell mode):
- Dark red: RSI below the threshold → Strong bearish confirmation.
- Light gray: RSI above the threshold → Indicates a weaker downtrend or lack of confirmation.
The opacity of the color dynamically adjusts based on how far RSI is from its threshold. The greater the difference, the more vivid the color, signaling a stronger trend.
3. Key Advantages Over the Classic Supertrend
- Filters out false signals: The RSI integration helps reduce false signals by only validating trends when RSI aligns with the Supertrend direction.
- Weakens uncertain signals: When RSI is close to its threshold, the color becomes more transparent, alerting traders to a less reliable trend.
- Classic mode available: The 'Use Classic Supertrend' option allows switching to a standard Supertrend display (fixed red/green) without the RSI effect.
4. Customizable Parameters
- ATR Length & ATR Factor: Define the sensitivity of the Supertrend.
- RSI Period & RSI Threshold: Allow refining the RSI filter based on market volatility.
- Classic mode: Enables/disables the RSI filtering to revert to the original Supertrend.
This indicator is especially valuable for traders looking to refine their trend signals based on market momentum measured by RSI.
This indicator is for informational purposes only and should not be considered financial advice. Trading involves risks, and past performance does not guarantee future results. Always conduct your own analysis before making any trading decisions.
Supertrend + BB + Consecutive Candles + QQE + EMA [Pineify]Overview
This indicator, developed by Pineify, is a comprehensive tool designed to assist traders in making informed decisions by combining multiple technical analysis methods. It integrates Supertrend, Bollinger Bands (BB), Consecutive Candles, Quantitative Qualitative Estimation (QQE), and Exponential Moving Averages (EMA) into a single, cohesive script. This multi-faceted approach allows traders to analyze market trends, volatility, and potential buy/sell signals with greater accuracy.
Key Features
1. Supertrend: Utilizes the Supertrend indicator to identify the prevailing market trend. It provides clear buy and sell signals based on the direction of the trend.
2. Bollinger Bands (BB): Measures market volatility and identifies overbought or oversold conditions. The script calculates the middle, upper, and lower bands, along with the Bollinger Band Width (BBW) and Bollinger Band %B (BBR).
3. Consecutive Candles: Detects sequences of consecutive bullish or bearish candles, providing signals when a specified number of consecutive candles are detected.
4. Quantitative Qualitative Estimation (QQE): Combines the Relative Strength Index (RSI) with a smoothing factor to generate buy and sell signals based on the QQE methodology.
5. Exponential Moving Averages (EMA): Includes both fast and slow EMAs to identify potential crossovers, which are used as buy and sell signals.
How It Works
- Supertrend: The Supertrend indicator is calculated using a factor and ATR length. It plots the trend direction and generates buy/sell signals when the trend changes.
- Bollinger Bands: The BB indicator calculates the middle band as a Simple Moving Average (SMA) of the closing prices. The upper and lower bands are derived by adding and subtracting a multiple of the standard deviation from the middle band.
- Consecutive Candles: This feature counts the number of consecutive candles that close higher or lower than the previous candle. When the count reaches a specified threshold, it generates a buy or sell signal.
- QQE: The QQE indicator smooths the RSI values and calculates the QQE Fast and QQE Slow lines. Buy and sell signals are generated based on the crossover of these lines.
- EMA: The script calculates fast and slow EMAs and generates buy/sell signals based on their crossovers.
How to Use
1. Inputs: Customize the indicator settings through the input parameters:
- Supertrend Factor and ATR Length
- BB Length
- Consecutive Candles Counting
- QQE RSI Length
- Fast and Slow EMA Lengths
- Enable/Disable Alerts for various signals
2. Alerts: Set up alerts for Supertrend, Consecutive Candles, and EMA crossovers. Alerts can be enabled or disabled based on user preference.
3. Visualization: The indicator plots the Supertrend, Bollinger Bands, and EMA lines on the chart. It also marks buy and sell signals with arrows and labels for easy identification.
Concepts Underlying Calculations
- Supertrend: Based on the Average True Range (ATR) to determine the trend direction and potential reversal points.
- Bollinger Bands: Utilizes standard deviation to measure market volatility and identify overbought/oversold conditions.
- Consecutive Candles: A method to detect momentum by counting consecutive bullish or bearish candles.
- QQE: Enhances the traditional RSI by smoothing it and using a dynamic threshold to generate signals.
- EMA: A widely used moving average that gives more weight to recent prices, making it responsive to market changes.
This indicator is a powerful tool for traders looking to combine multiple technical analysis methods into a single, easy-to-use script. By integrating these diverse techniques, it provides a comprehensive view of market conditions and potential trading opportunities.
SuperTrend High or Low BreakoutSuperTrend Breakout Indicator
Indicator Feature
SuperTrend High Breakout Line With Alerts
SuperTrend Low Breakout Line With Alerts
SuperTrend High Breakout with TP and Alerts
SuperTrend Low Breakout with TP and Alerts
You Can add TP percentage base or Point Base
SuperTrend SL Candle Both Side
SuperTrend Next Candle High Breakout Line With Alerts
SuperTrend Next Candle Low Breakout Line With Alerts
All Alerts In build This Indicator
Thank you so much :)
SuperTrend: Silent Shadow 🕶️ SuperTrend: Silent Shadow — Operate in trend. Vanish in noise.
Overview
SuperTrend: Silent Shadow is an enhanced trend-following system designed for traders who demand clarity in volatile markets and silence during indecision.
It combines classic Supertrend logic with a proprietary ShadowTrail engine and an adaptive Silence Protocol to filter noise and highlight only the cleanest signals.
Key Features
✅ Core Supertrend Logic
Built on Average True Range (ATR), this trend engine identifies directional bias with visual clarity. Lines adjust dynamically with price action and flip when meaningful reversals occur.
✅ ShadowTrail: Stepped Counter-Barrier
ShadowTrail doesn’t predict reversals — it reinforces structure.
When price is trending, ShadowTrail forms a stepped ceiling in downtrends and a stepped floor in uptrends. This visual containment zone helps define the edges of price behavior and offers a clear visual anchor for stop-loss placement and trade containment.
✅ Silence Protocol: Adaptive Noise Filtering
During low-volatility zones, the system enters “stealth mode”:
• Trend lines turn white to indicate reduced signal quality
• Fill disappears to reduce distraction
This helps avoid choppy entries and keeps your focus sharp when the market isn’t.
✅ Visual Support & Stop-Loss Utility
When trendlines flatten or pause, they naturally highlight price memory zones. These flat sections often align with:
• Logical stop-loss levels
• Prior support/resistance areas
• Zones of reduced volatility where price recharges or rejects
✅ Custom Styling
Full control over line colors, width, transparency, fill visibility, and silence behavior. Tailor it to your strategy and visual preferences.
How to Use
• Use Supertrend color to determine bias — flips mark momentum shifts
• ShadowTrail mirrors the primary trend as a structural ceiling/floor
• Use flat segments of both lines to identify consolidation zones or place stops
• White lines = low-quality signal → stand by
• Combine with RSI, volume, divergence, or your favorite tools for confirmation
Recommended For:
• Traders seeking clearer trend signals
• Avoiding false entries in sideways or silent markets
• Identifying key support/resistance visually
• Structuring stops around real market containment levels
• Scalping, swing, or position trading with adaptive clarity
Built by Sherlock Macgyver
Forged for precision. Designed for silence.
When the market speaks, you listen.
When it doesn’t — you wait in the shadows.
SuperTrendRange by DGTSuperTrendRange study attempts to determine the state of the market
• whether a well-established bull/bear trend is present
• whether the market is trading in a range
SuperTrendRange (STR) takes into account the volatility of the market - further details regarding volatility can be found in the description of “Volatility Bands by DGT” study
Due to its similarities to SupertTrend (ST) and Parabolic SAR (SAR), I will try to explain by stating differences between them
SuperTrendRange uses both the ATR (Average True Range) and STDEV (Standard Deviation) as part of its calculations - unlike ST and SAR where they use only ATR
Sensitivity of the indicator is adjusted using the multiplier setting of both ATR and STDEV
Additionally, unlike ST, the source of the basis of SuperTrendRange can be selected among the assets price value or its moving average
Source and Length are adjustable too
The SuperTrendRange, like Parabolic SAR indicator, appears on a chart as a series of dots, either above, below or unlike Parabolic SAR both above and below of the asset's price
A dot placed
- below the price when the market is trending upward
- above the price when it is trending downward
- both above and below when the price starts moving sideways – this is a feature that both SuperTrend and Parabolic SAR misses, where they are known to produce false signals and losing trades, whereas SuperTrendRange emphasis the zones of the ranges occurring and in most cases are considered no trade recommended zones. Please note that the range width may vary depending on how the market is volatile. It is up to the users to trade if it fits their trading strategies
Dots plotted above and below can be assumed as Support and Resistance levels
Example usages – with trading opportunities
Gold Monthly Chart
Bitcoin Daily Chart
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Options Series - Supertrend, HalfTrend, Ichimoku Cloud and P_SAR➤ Supertrend:
➤ HalfTrend:
➤ Ichimoku Cloud:
➤ Parabolic SAR:
⭐ Overview and How It Works:
This script combines multiple popular technical indicators—Supertrend, HalfTrend, Ichimoku Cloud, and Parabolic SAR—into a single, cohesive tool for analyzing price trends and reversals. Designed for traders who prefer multi-layered confirmation, it displays non-overlay signals in a candlestick format, helping users make sense of intricate market dynamics. It also includes a "Master Candle" condition, which aggregates the signals from all indicators, providing a powerful snapshot of market sentiment.
References for study,
Supertrend and HalfTrend and Ichimoku Cloud and Parabolic SAR
⭐ Key Features and Functionality:
The script integrates four indicators and visually represents them in a non-overlay fashion, meaning that each indicator's signal appears on separate candlestick layers. It uses color coding to differentiate between bullish and bearish signals. The Master Candle is a unique feature that aggregates the signals from all indicators to show the overall sentiment.
Supertrend: It uses ATR and a multiplier factor to create a trailing stop, identifying bullish and bearish trends.
HalfTrend: It analyzes market volatility that provides buy and sell signals based on volatility channels and historical highs and lows.
Ichimoku Cloud: It leverages historical highs and lows to form the conversion and baseline, which are compared to assess market strength.
Parabolic SAR: A stop-and-reverse system that highlights potential reversals. It is based on time and price, offering traders potential reversal points.
Master Candle: It computes a score based on the confluence of all four indicators, adding another layer of confirmation.
🎨 Visualizations and User Experience:
The script's user interface is highly visual, with color-coded candlesticks plotted across multiple layers. Each indicator has its own color coding for bullish and bearish signals, ensuring clarity:
➤ Green for bullish signals.
➤ Red for bearish signals.
➤ Each candlestick layer represents a different indicator (e.g., Supertrend, HalfTrend, etc.), making it easy for the trader to isolate and interpret signals.
➤ The "Master Candle" provides an overarching view of the market by displaying a consolidated signal, which can reduce confusion from mixed indicator signals.
⭐ Settings and Customization:
The script is highly customizable, allowing users to adjust the settings for each indicator. Key customizable parameters include:
• Supertrend ATR Period and Factor
• HalfTrend Amplitude and Channel Deviation
• Ichimoku Conversion, Base, and Lagging Span Periods
• Parabolic SAR Start, Increment, and Maximum value
Additionally, users can toggle the visibility of each indicator and customize the look of the plot to suit their preferences.
⭐ Uniqueness of the Concept:
No repaints. This is the advanced representation and the combination of multiple indicators into a single script, along with a powerful "Master Candle" that aggregates them, makes this tool unique. Most scripts provide isolated indicator signals, while this one brings together four powerful indicators and visually simplifies the analysis. The non-overlay style and color-coded candlesticks offer traders an easy-to-understand, actionable visual cue, which stands out from traditional indicator overlays.
🚀 Conclusion:
This script is a comprehensive, multi-indicator trading tool suitable for traders looking for reliable trend-following and reversal detection. Its ability to provide an aggregated "Master Candle" signal reduces noise and aids in better decision-making. Customization options allow users to tailor it to their trading style, while its clear visualizations provide an excellent user experience.
SuperTrend OptimizerHello!
This indicator attempts to optimize Supertrend parameters. To achieve this, 102 parameter combinations are tested concurrently - the top three performers are listed in descending order.
Parameters,
Factor: Changes to this parameter shifts the tested factor range. For instance, increasing the factor measure from 3.00 to 3.01 (+0.01) will remove 3.00 from the tested range - this setting controls the lower threshold of the range. The upper threshold, in all instances, is the lower Factor threshold + 3.3 (i.e. 3.0(lower) - 6.3(upper), 4.0(lower) - 7.3(upper), 2.5(lower) - 5.8(upper))
ATR period: Changes to this parameter shifts the tested ATR period range. For instance, increasing the ATR measure from 10 to 11 (+1) will remove 10 from the tested range - this setting controls the lower threshold of the range. The upper threshold, in all instances, is the lower threshold + 2 (i.e. 10(lower) - 12(upper), 11(lower) - 13(upper), 9(lower), - 11(upper))
The Factor parameter is modifiable to any positive decimal number; the ATR parameter is modifiable to any positive integer. Changing either parameter shifts the tested parameter combination range. Both parameters can be changed in the settings, to which you control the lower threshold of the range. If, for instance, you were to change the Factor measurement from 3.0 to 4.1 (+1.1) the 4.0 Factor measurement, and all Factor measures less than 4.0, will be excluded from the performance test.
Consequently, a Supertrend test will be performed with a Factor of 4.1 and an ATR period of 10 (default). This test repeats at 0.1 Factor intervals and 1.0 ATR intervals.
Therefore, assume you modify the Factor lower threshold to 3.1 and the ATR lower threshold to 10. The indicator will test three Supertrend systems with a Factor of 3.1 and an ATR period of 10.. then 11.. 12, then three systems with a Factor of 3.2 and an ATR period of 10.. then 11.. 12... until (lower Factor threshold + 3.3) and (lower ATR threshold + 2) are tested... which in this example is... a Factor of 6.4 and an ATR period of 12.
The tested Factor range and ATR range are displayed in a bottom right table alongside the top performing parameter combinations.
Of course, you can change the the lower thresholds, which means you can test numerous Supertrend parameter combinations! However, no greater than 102 parameter combinations will be tested simultaneously; the best performing Supertrend parameters are plotted on the chart automatically.
I will be working on this indicator more tomorrow! Let me know if you have questions or anything you would like included!
(I of course added something fun in the script. Be sure to try it with bar replay!)
Supertrend - Optimised Exit We created a small script that will allow you to have a quick look into static SL/PT to choose from. This might save you time, replacing the manual search for optimal SL/PT.
We're checking signals of the strategy and computing its performance with a grid of SL/PT selected.
We used SuperTrend signals in this example, but it will be straightforward to integrate your signals.
In addition to total Return, we compute MAX Dd and Profit Factor. Other metrics can be implemented as well.
Thanks to @MUQWISHI for helping code it.
Disclaimer
Please remember that past performance may not indicate future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
SuperTrend MTF [Anan]Hello friends,
As per many experts, supertrend indicator is best to use in combination with other indicators like MACD and RSI.
The best thing about supertrend it sends out accurate signals on precise time. The indicator offers quickest technical analysis to enable the intraday traders to make faster decisions. It is extremely simple to use and understand.
However, the indicator is not appropriate for all the situations. It works when the market is trending. Hence it is best to use for short-term technical analysis. Supertrend uses only the two parameters of ATR and multiplier which are not sufficient under certain conditions to predict the accurate direction of the market.
Understanding and identifying Bull and Bear signals in supertrend is the main crux for the intraday traders. Both the downtrends as well uptrends are represented by the indicator. The flipping of the indicator over the closing price indicates signal. A Bull signal is indicated in green color whereas Bear signal is given as the indicator turns red.
Options:
- Change calculation source ( default SuperTrend uses: hl2)
- Change calculation method (default SuperTrend uses: RMA)
- Additional six multi-time frames SuperTrends
Supertrend Heatmap Multi timeframesHey everybody
A follower asked me if the heatmap is only applicable to detect Moving Averages crosses... I told him I'll publish a script answering his question. Here's your answer my friend: HELL NOOOOOOOOOOO !!!!
My heatmap works with any indicator and any timeframe.
In this script, I did it with a collection of supertrend in different timeframes but the possibilities are limitless. I shared in the past my Supertrend collector displaying multiple supertrends in different timeframes
In case you don't like this kind of display, here's an alternative again. You can call me the HEATMAP guy or the ALTERNATIVE INDICATOR guy from now on .... (Dave is fine too)
Please take a look here and you'll understand right away how to read this heatmap Example with the Daily Supertrend
Basically, there is a line per timeframe and whenever the supertrend changes color in a given timeframe, it will get updated into the heatmap as well !! #amazing #awesome #so#coool#bro
Obviously, I won't post the heatmaps for all the indicators in the world, I'm very sure I'll get the same amount of likes and engagement but it's not challenging for me and... to be honest it won't be interesting at some point for you guys. I'm sharing this one because this is an alternative to the supertrend collector and I feel it could interest many of you.
PS
You're a lot (and I really mean a lot asking me about the Algorithm Builder), I don't communicate too much because I'm writing the documentation and I'll be finished by the end of this week.
Love you all (even the trolls)
Dave
____________________________________________________________
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Jump on a 1 to 1 coaching with me
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- BTC TipJar: 3MKDve7stWTe1io99oFxeQXvP8XB4zCQ8m
- LTC TipJar: MC5oeBAhw9BLqyi65TR3J1Lid8io9uHADw
SuperTrend Momentum TableMy goal creating this indicator : Provide a way to see the Past and Current Momentum of multiple different timeframes without using multiple charts.
The Underlying Concept / What is Momentum?
The Momentum shown is derived from a Mathematical Formula, SUPERTREND. When price closes above Supertrend Its bullish Momentum when its below Supertrend its Bearish Momentum.This indicator scans for bullish & bearish Momentum on the Timeframes selected by the user and when there is a shift in momentum on any of those time frames (price closes below or above SUPERTREND ) it notifies the trader with a color change on the Momentum Table.
Back Testing: This indicator will be key for back testing with the SuperTrend-Support-Resistance indicator
since the SuperTrend Momentum Table shows you the visual shift in momentum. Giving the Trader a Clear visual on how Each Support and Resistance Level was made .
Technical Inputs
- If you want to optimize the rate of signals to better fit your trading plan you would change the Factor input and ATR Length input. Increase factor and ATR Length to decrease the frequency of signals and decrease the Factor and ATR Length to increase the frequency of signals.
Quick TIP! : You can Sync all VFX SuperTrend Indicators together! All VFX SuperTrend indicators display unique information but its all derived from that same Momentum Formula. Keep the Factor input and ATR Length the same on other VFX SuperTrend indicators to have them operating on the same data.
Timeframe Inputs
- The indicator has 7 Time frame Displays where you can choose which Time Frames you would like to monitor.
- You can limit the amount of time frames being displayed by changing the Time Frame Amount
Display Inputs
- The trader can specify the bullish and bearish color of all 7 Timeframes
- You can toggle (on or off) the Momentum Switch if you want to highlight the exact candle where momentum switched from bullish to bearish and from bearish to bullish .
How it can be Used ? Check the momentum of other Timeframes and use that information as a variable to structure your trading plan.
- Use Momentum information to track the trend
- Plan and limit trades based on the current Momentum of multiple timeframes
- See if you have higher momentum to fuel your trades
- See breakouts on Multiple Time Frames
Supertrend, MA 44|6, EMA FIBS 13|21|34I have this indicator based on my strategy. This indicator is based on existing functions available in the system. I haven't added anything new. This indicator uses Supertrend, MA44|6, EMA fibs 13|21|34 combining to find a profitable trade.
- Supertrend : Indicator uses supertrend strategy with default ATR period of 10 and Factor value 3. These values can be customized based on your preferences. Uptrend is denoted by green color and downtrend by red color. You can change the colors based on your preferences.
- MA 44|6: Indicator plots moving averages of 44 and 6. These values can be customized based on your preferences. Although it is highly recommended to keep 44 as is. Value 6 can be adjusted based on your preference. Default color for uptrend is green and for downtrend is red. You can change the colors based on your preferences.
- FIBS EMA 13|21|34: Indicator plots EMA of fibbonacci numbers 13, 21,34 to identify consolidation and breakout. The periods can be adjusted but it is highly recommended not to do so. Default colors for 13,21 and 34 is Aqua, Blue and Navy respectively. You can change the colors based on your preferences.
When to take trade?
To take a trade all conditions needs to be fulfilled.
Supertrend : Always take a trade in the direction of Supertrend. It is always advisable to take trade if the trend is changing or price is taking support of resistance.
MA 44|6: Moving average 44 indicates average price of 44 last candles and 6 for last 6 candles. Price crossing MA 44 indicates change in trend. It is advisable to take trade at crossing the line above or below. If many candles closing near MA 44 then it indicates consolidation. The more far the candle closes from MA44 the better. MA 6 is used to identify when to enter or exit the trade. If candle closes away from MA 6 then you can wait for candle to start near the MA 6 line. If candle closes above/below MA 6 you can exit your trade.
Fibonacci 13|21|34: When all lines are closed it indicates consolidation. When price breakouts to either direction you can take a trade in that direction with following conditions.
Bullish Trade:
When to enter?
If candle closed above MA 44, Supertrend is uptrend and EMA Fibs are moving away and are above MA 44. The price is near to MA 6 line then you can enter into bullish trade. If price is away from MA 6 then you should wait until the price/line comes near to avoid loss.
When to exit?
Price moving in opposite direction:
You should set a stop loss when you enter the trade. The stop loss can be set below the low of the previous candle or any other strategy you have. But it is really important to set the stop loss. If price moves in opposite direction then your stop loss will hit and you will be out of the trade.
Price moving in same direction:
Once you enter the trade you can exit based on two conditions whichever suits you.
1. Exit the trade if candle closes below MA6. The drawback is you may exit too early. You can also adjust the period based on your preferences.
2. Exit the trade if candle closed below low of previous candle. The drawback is you may book less profit but you can capture the movement very well.
Bearish Trade:
When to enter?
If candle closed below MA 44, Supertrend is downtrend and EMA Fibs are moving away and are below MA 44. The price is near to MA 6 line then you can enter into bearish trade. If price is away from MA 6 then you should wait until the price/line comes near to avoid loss.
When to exit?
Price moving in opposite direction:
You should set a stop loss when you enter the trade. The stop loss can be set below the low of the previous candle or any other strategy you have. But it is really important to set the stop loss. If price moves in opposite direction then your stop loss will hit and you will be out of the trade.
Price moving in same direction:
Once you enter the trade you can exit based on two conditions whichever suits you.
1. Exit the trade if candle closes below MA6. The drawback is you may exit too early. You can also adjust the period based on your preferences.
2. Exit the trade if candle closed below low of previous candle. The drawback is you may book less profit but you can capture the movement very well.
When not to take trade?
1. If MA 44 is completely horizontal and EMA Fibs are very close to each other. This indicates that the market is consolidated and if you enter the trade you may hit stop loss very often.
Note: Please note that I am not expert and I don't take any responsibility of your profits or losses. I have created this indicator based on my knowledge and it is for study purpose. Use of this indicator is totally your responsibility. Use all your knowledge and expertise and don't totally depend on the indicator. Don't forget to use stop loss and do money management.
Happy Trading!
