Supertrend with EMAThere are many supertrend scripts, most uses close as source. This one uses EMA. You can change periods and factor settings by your trading strategy.
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SuperTrend MultiTimeFrame (v.3 PineScipt)New version of SuperTrend MultiTimeframe with alert.
It is like old version but use V3 of PineScript (no repainting if you want to change it and transform in strategy).
Enjoy!
SuperTrend+fibI took the script from here so credit to the author
made some slight modification and add fib to make the buy point more stable
have fun
p.s
it can be improve further with addition of some extra, I did not check if it repaint as it not my code
Supertrend A/D BreakoutModified Hoffman A/D:
1. uses standard supertrend to determine up/down direction (previous version used ema crossover)
2. uses improved A/D candlestick patterns
I'm optimistic about this one
Supertrend Grid 1.0See the current pair's Supertrend direction on 4 different timeframes at once, so you won't get caught with your pants down trading against the trend. Handy for quickly space-barring through a watchlist.
Default settings are (from top to bottom) Daily, 4H, 1H and 15M but these can be changed. Any suggestions, let me know.
SupertrendIndicatorSupertrend (13,2.5) & Supertrend (18,3) are best for intraday.
Loving the signals.
MTF SuperTrends Nexus [DarkWaveAlgo]🧾 Description:
A nexus is a connection, link, or neuronal junction where signals and information are transmitted between different elements.
The MTF SuperTrends Nexus indicator serves as a nexus between MTF SuperTrends by facilitating the visualization of up to eight multi-timeframe SuperTrends, each with its own customizable timeframe, period, factor, and coloring customization. By combining these various SuperTrends, it helps you create a comprehensive view of MTF trend dynamics and cross-timeframe confluence according to the SuperTrend indicator.
It acts as a utility/control center that brings together multiple MTF SuperTrends and allows you to visualize the interactions between them with exceptional ease-of-use and customizability, helping to provide you with valuable insights into potential trend reversals, momentum shifts, and trading opportunities.
💡 Originality and Usefulness:
While there are other multi-timeframe SuperTrend indicators available, MTF SuperTrends Nexus' semi-transparent fills create a compounding opaqueness when SuperTrends from multiple timeframes coalesce - making visual assessment of cross-timeframe confluence extremely easy. We also believe it stands above the rest with its sheer quantity and quality of settings, features, and usability.
✔️ Re-Published to Avoid Misleading Values
This script has been re-published to ensure that it does not use `request.security()` calls using lookahead_on to access future data when referencing SuperTrend calculations from other timeframes. This decreases the likelihood that the indicator will provide deceiving values. This change has been made in accordance with the PineScript documentation: "Using barmerge.lookahead_on at timeframes higher than the chart's without offsetting the `expression` argument like in `close [ ]` will introduce future leak in scripts, as the function will then return the `close` price before it is actually known in the current context" and the Publishing Rule: "Do not use `request.security()` calls using lookahead to access future data". Historical and real-time values may differ when referencing timeframes other than the chart's.
💠 Features:
8 toggleable MTF SuperTrends with customizable timeframes, periods, and factors
Compounding filled areas for easy MTF SuperTrend confluence analysis
Aesthetic and flexible coloring and color theme styling options
End-of chart labels and options for ease-of-use and legibility
⚙️ Settings:
Use a Color Theme: When this setting is enabled, all manual 'Bullish and Bearish Colors' are overridden. All plots will use the colors from your selected Color Theme - excepting those plots set to use the 'Single Color' coloring method.
Color Theme: When 'Use a Color Theme' is enabled, this setting allows you to select the color theme you wish to use.
Fill SuperTrend Areas: When enabled, the area between any MTF SuperTrend and the price bars will be filled with semi-transparent coloring.
Hide SuperTrends on Timeframes Lower Than the Chart: When this setting is enabled, any MTF SuperTrend with a timeframe smaller than that of the chart the indicator is applied to will be hidden from view.
Enable: Show/hide a specific MTF SuperTrend.
Timeframe: Set the timeframe for a specific MTF SuperTrend.
Period: Set the lookback period for a specific MTF SuperTrend.
Factor: Set the multiplier factor used for a specific MTF SuperTrend's calculation.
Bullish Color: When 'Use a Color Theme' is disabled, this will set the 'bullish color' for this specific MTF SuperTrend.
Bearish Color: When 'Use a Color Theme' is disabled, this will set the 'bearish color' for this specific MTF SuperTrend.
Enable Label: When enabled, a label will show at the end of the chart displaying the timeframe, period, factor, and current price value of this specific MTF SuperTrend.
Size: Sets the font size of this specific MTF SuperTrend's label.
Label Offset (in Bars): Sets the distance from the latest bar, in bars, at which this specific MTF SuperTrend's label is displayed.
Show Label Line: When enabled, this specific MTF SuperTrend's label will be accommodated by a dashed line connecting it to its plot.
📈 Chart:
The chart shown in this original publication displays the 5 minute chart on BTCUSDT. Displayed on the chart are 6 MTF SuperTrends: the 5m 50-period/3-factor SuperTrend, 15m 50-period/3-factor SuperTrend, 30m 50-period/3-factor SuperTrend, 1h 50-period/3-factor SuperTrend, 4h 50-period/3-factor SuperTrend, and the 1D 25-period/1.5-factor SuperTrend - offering an exemplary view of how you can easily use these MTF SuperTrends to your advantage in analyzing SuperTrend relationships across multiple timeframes.
Standardized SuperTrend Oscillator
The Standardized SuperTrend Oscillator (SSO) is a versatile tool that transforms the SuperTrend indicator into an oscillator, offering both trend-following and mean reversion capabilities. It provides deeper insights into trends by standardizing the SuperTrend with respect to its upper and lower bounds, allowing traders to identify potential reversals and contrarian signals.
Methodology:
Lets begin with describing the SuperTrend indicator, which is the fundamental tool this script is based on.
SuperTrend:
The SuperTrend is calculated based on the average true range (ATR) and multiplier. It identifies the trend direction by placing a line above or below the price. In an uptrend, the line is below the price; in a downtrend, it's above the price.
pine_st(float src = hl2, float factor = 3., simple int len = 10) =>
float atr = ta.atr(len)
float up = src + factor * atr
up := up < nz(up ) or close > nz(up ) ? up : nz(up )
float lo = src - factor * atr
lo := lo > nz(lo ) or close < nz(lo ) ? lo : nz(lo )
int dir = na
float st = na
if na(atr )
dir := 1
else if st == nz(up )
dir := close > up ? -1 : 1
else
dir := close < lo ? 1 : -1
st := dir == -1 ? lo : up
SSO Oscillator:
The SSO is derived from the SuperTrend and the source price. It calculates the standardized difference between the SuperTrend and the source price. The standardization is achieved by dividing this difference by the distance between the upper and lower bounds of the SuperTrend.
float sso = (src - st) / (up - lo)
Components and Features:
SuperTrend of Oscillator - An additional SuperTrend based on the direction and volatility of the oscillator, behaving as the SuperTrend OF the SuperTrend. This provides further trend analysis of the underlying broad trend regime.
Reversion Tracer - The RSI of the direction of the original SuperTrend, providing a dynamic threshold for premium and discount price areas.
float rvt = ta.rsi(dir, len)
Heikin Ashi Transform - An option to apply the Heikin Ashi transform to the source price of the oscillator, providing a smoother visual representation of trends.
Display Modes - Choose between Line mode for a standard oscillator view or Candle mode, displaying the oscillator as Heikin Ashi candles for more in-depth trend analysis.
Contrarian and Reversion Signals:
Contrarian Signals - Based on the SuperTrend of the oscillator, these signals can act as potential buy or sell indications, highlighting potential trend exhaustion or premature reversals.
Reversion Signals - Generated when the oscillator crosses above or below the Reversion Tracer, signaling potential mean reversion opportunities or trend breakouts.
Utility and Use Cases:
Trend Analysis - Utilize the SSO as a trend-following tool with the added benefits of the oscillator's SuperTrend and Heikin Ashi transform.
Valuation Analysis - Leverage the oscillator's reversion signals for identifying potential mean reversion opportunities in the market.
The Standardized SuperTrend Oscillator enhances the capabilities of the SuperTrend indicator, offering a balanced approach to both trend-following and mean reversion strategies. Its customizable options and contrarian signals make it a valuable instrument for traders seeking comprehensive trend analysis and potential reversal signals.
AI SuperTrend Clustering Oscillator [LuxAlgo]The AI SuperTrend Clustering Oscillator is an oscillator returning the most bullish/average/bearish centroids given by multiple instances of the difference between SuperTrend indicators.
This script is an extension of our previously posted SuperTrend AI indicator that makes use of k-means clustering. If you want to learn more about it see:
🔶 USAGE
The AI SuperTrend Clustering Oscillator is made of 3 distinct components, a bullish output (always the highest), a bearish output (always the lowest), and a "consensus" output always within the two others.
The general trend is given by the consensus output, with a value above 0 indicating an uptrend and under 0 indicating a downtrend. Using a higher minimum factor will weigh results toward longer-term trends, while lowering the maximum factor will weigh results toward shorter-term trends.
Strong trends are indicated when the bullish/bearish outputs are indicating an opposite sentiment. A strong bullish trend would for example be indicated when the bearish output is above 0, while a strong bearish trend would be indicated when the bullish output is below 0.
When the consensus output is indicating a specific trend direction, an opposite indication from the bullish/bearish output can highlight a potential reversal or retracement.
🔶 DETAILS
The indicator construction is based on finding three clusters from the difference between the closing price and various SuperTrend using different factors. The centroid of each cluster is then returned. This operation is done over all historical bars.
The highest cluster will be composed of the differences between the price and SuperTrends that are the highest, thus creating a more bullish group. The lowest cluster will be composed of the differences between the price and SuperTrends that are the lowest, thus creating a more bearish group.
The consensus cluster is composed of the differences between the price and SuperTrends that are not significant enough to be part of the other clusters.
🔶 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.
Smooth: Degree of smoothness of each output from the indicator.
🔹 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).
Pro Supertrend CalculatorThis indicator is an adapted version of Julien_Eche's 'Pro Momentum Calculator' tailored specifically for TradingView's 'Supertrend indicator'.
The "Pro Supertrend Calculator" indicator has been developed to provide traders with a data-driven perspective on price movements in financial markets. Its primary objective is to analyze historical price data and make probabilistic predictions about the future direction of price movements, specifically in terms of whether the next candlestick will be bullish (green) or bearish (red). Here's a deeper technical insight into how it accomplishes this task:
1. Supertrend Computation:
The indicator initiates by computing the Supertrend indicator, a sophisticated technical analysis tool. This calculation involves two essential parameters:
- ATR Length (Average True Range Length): This parameter determines the sensitivity of the Supertrend to price fluctuations.
- Factor: This multiplier plays a pivotal role in establishing the distance between the Supertrend line and prevailing market prices. A higher factor value results in a more significant separation.
2. Supertrend Visualization:
The Supertrend values derived from the calculation are meticulously plotted on the price chart, manifesting as two distinct lines:
- Green Line: This line represents the Supertrend when it indicates a bullish trend, signifying an anticipation of rising prices.
- Red Line: This line signifies the Supertrend in bearish market conditions, indicating an expectation of falling prices.
3. Consecutive Candle Analysis:
- The core function of the indicator revolves around tracking successive candlestick patterns concerning their relationship with the Supertrend line.
- To be included in the analysis, a candlestick must consistently close either above (green candles) or below (red candles) the Supertrend line for multiple consecutive periods.
4.Labeling and Enumeration:
- To communicate the count of consecutive candles displaying uniform trend behavior, the indicator meticulously applies labels to the price chart.
- The positioning of these labels varies based on the direction of the trend, residing either below (for bullish patterns) or above (for bearish patterns) the candlestick.
- The color scheme employed aligns with the color of the candle, using green labels for bullish candles and red labels for bearish ones.
5. Tabular Data Presentation:
- The indicator augments its graphical analysis with a customizable table prominently displayed on the chart. This table delivers comprehensive statistical insights.
- The tabular data comprises the following key elements for each consecutive period:
a. Consecutive Candles: A tally of the number of consecutive candles displaying identical trend characteristics.
b. Candles Above Supertrend: A count of candles that remained above the Supertrend during the sequential period.
3. Candles Below Supertrend: A count of candles that remained below the Supertrend during the sequential period.
4. Upcoming Green Candle: An estimation of the probability that the next candlestick will be bullish, grounded in historical data.
5. Upcoming Red Candle: An estimation of the probability that the next candlestick will be bearish, based on historical data.
6. Tailored Configuration:
To accommodate diverse trading strategies and preferences, the indicator offers extensive customization options. Traders can fine-tune parameters such as ATR length, factor, label and table placement, and table size to align with their unique trading approaches.
In summation, the "Pro Supertrend Calculator" indicator is an intricately designed tool that leverages the Supertrend indicator in conjunction with historical price data to furnish traders with an informed outlook on potential future price dynamics, with a particular emphasis on the likelihood of specific bullish or bearish candlestick patterns stemming from consecutive price behavior.
Volume SuperTrend AI (Expo)█ Overview
The Volume SuperTrend AI is an advanced technical indicator used to predict trends in price movements by utilizing a combination of traditional SuperTrend calculation and AI techniques, particularly the k-nearest neighbors (KNN) algorithm.
The Volume SuperTrend AI is designed to provide traders with insights into potential market trends, using both volume-weighted moving averages (VWMA) and the k-nearest neighbors (KNN) algorithm. By combining these approaches, the indicator aims to offer more precise predictions of price trends, offering bullish and bearish signals.
█ How It Works
Volume Analysis: By utilizing volume-weighted moving averages (VWMA), the Volume SuperTrend AI emphasizes the importance of trading volume in the trend direction, allowing it to respond more accurately to market dynamics.
Artificial Intelligence Integration - k-Nearest Neighbors (k-NN) Algorithm: The k-NN algorithm is employed to intelligently examine historical data points, measuring distances between current parameters and previous data. The nearest neighbors are utilized to create predictive modeling, thus adapting to intricate market patterns.
█ How to use
Trend Identification
The Volume SuperTrend AI indicator considers not only price movement but also trading volume, introducing an extra dimension to trend analysis. By integrating volume data, the indicator offers a more nuanced and robust understanding of market trends. When trends are supported by high trading volumes, they tend to be more stable and reliable. In practice, a green line displayed beneath the price typically suggests an upward trend, reflecting a bullish market sentiment. Conversely, a red line positioned above the price signals a downward trend, indicative of bearish conditions.
Trend Continuation signals
The AI algorithm is the fundamental component in the coloring of the Volume SuperTrend. This integration serves as a means of predicting the trend while preserving the inherent characteristics of the SuperTrend. By maintaining these essential features, the AI-enhanced Volume SuperTrend allows traders to more accurately identify and capitalize on trend continuation signals.
TrailingStop
The Volume SuperTrend AI indicator serves as a dynamic trailing stop loss, adjusting with both price movement and trading volume. This approach protects profits while allowing the trade room to grow, taking into account volume for a more nuanced response to market changes.
█ Settings
AI Settings:
Neighbors (k):
This setting controls the number of nearest neighbors to consider in the k-Nearest Neighbors (k-NN) algorithm. By adjusting this parameter, you can directly influence the sensitivity of the model to local fluctuations in the data. A lower value of k may lead to predictions that closely follow short-term trends but may be prone to noise. A higher value of k can provide more stable predictions, considering the broader context of market trends, but might lag in responsiveness.
Data (n):
This setting refers to the number of data points to consider in the model. It allows the user to define the size of the dataset that will be analyzed. A larger value of n may provide more comprehensive insights by considering a wider historical context but can increase computational complexity. A smaller value of n focuses on more recent data, possibly providing quicker insights but might overlook longer-term trends.
AI Trend Settings:
Price Trend & Prediction Trend:
These settings allow you to adjust the lengths of the weighted moving averages that are used to calculate both the price trend and the prediction trend. Shorter lengths make the trends more responsive to recent price changes, capturing quick market movements. Longer lengths smooth out the trends, filtering out noise, and highlighting more persistent market directions.
AI Trend Signals:
This toggle option enables or disables the trend signals generated by the AI. Activating this function may assist traders in identifying key trend shifts and opportunities for entry or exit. Disabling it may be preferred when focusing on other aspects of the analysis.
Super Trend Settings:
Length:
This setting determines the length of the SuperTrend, affecting how it reacts to price changes. A shorter length will produce a more sensitive SuperTrend, reacting quickly to price fluctuations. A longer length will create a smoother SuperTrend, reducing false alarms but potentially lagging behind real market changes.
Factor:
This parameter is the multiplier for the Average True Range (ATR) in SuperTrend calculation. By adjusting the factor, you can control the distance of the SuperTrend from the price. A higher factor makes the SuperTrend further from the price, giving more room for price movement but possibly missing shorter-term signals. A lower factor brings the SuperTrend closer to the price, making it more reactive but possibly more prone to false signals.
Moving Average Source:
This setting lets you choose the type of moving average used for the SuperTrend calculation, such as Simple Moving Average (SMA), Exponential Moving Average (EMA), etc.
Different types of moving averages provide various characteristics to the SuperTrend, enabling customization to align with individual trading strategies and market conditions.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Options Series - P_SAR And Supertrend
The provided PineScript combines two well-known indicators—Parabolic SAR (P_SAR) and Supertrend—to create a comprehensive trading tool. Here are some powerful insights and the importance of this script:
⭐ 1. Supertrend Indicator:
What it does: The Supertrend indicator is based on the Average True Range (ATR) and is used to identify trend direction. When the price is above the Supertrend line, it suggests an uptrend, and when below, a downtrend.
Insights:
Trend Following: By adjusting the ATR length (atrPeriod) and the multiplier (factor), you can fine-tune the sensitivity of the Supertrend. A smaller ATR or factor results in more frequent trend changes, whereas larger values make the indicator more robust but slower to react.
Trend Visualization: The script highlights trends with the help of green and red lines, offering a clear visual cue for traders. The uptrend is filled with a translucent green and the downtrend with red, allowing quick identification of market momentum.
⭐ 2. Parabolic SAR (P_SAR):
What it does: The Parabolic SAR is a time/price-based indicator that helps identify potential reversals in the market. The dots (SAR) follow the price and move closer to it as the trend progresses.
Insights:
Trailing Stops: This is commonly used by traders to trail stop losses, as the SAR moves closer to price as the trend strengthens.
Combining with Supertrend: The SAR dots in this script act as an additional confirmation for trend direction. For instance, when the price is above both the SAR and Supertrend, it strongly suggests an uptrend.
⭐ 3. Bar Coloring Based on Trend Confirmation:
What it does: The script calculates conditions based on whether the price is above or below both the Supertrend and SAR values.
Insights:
Bullish/Bearish Confirmation: The combination of these two indicators provides a stronger confirmation of trend direction compared to using either one alone. For example:
Green Bars: If the price is above both the Supertrend and SAR, it signals a strong uptrend (bullish).
Red Bars: If the price is below both, it suggests a strong downtrend (bearish).
Visual Alerts: The candle colors are adjusted based on these conditions, providing a quick visual alert for traders to take action.
⭐ 4. Importance of Using Both Supertrend and P_SAR:
Multiple Confirmations: Combining the Supertrend and Parabolic SAR increases the accuracy of trend-following strategies. Each indicator has its strengths: Supertrend is good for identifying the overall trend, while the SAR excels at identifying potential reversals.
Risk Management: This script can help you not only identify trends but also manage your positions more effectively. The Parabolic SAR, for example, can serve as a dynamic stop-loss level, while the Supertrend can help you stay in trades longer by smoothing out noise in the market.
⭐ 5. Customizable Inputs:
Adaptability: The user can adjust the ATR period, factor, start, increment, and maximum values, tailoring the script to different market conditions and timeframes. This flexibility is essential, as each asset class or market may require different parameter settings.
⭐ 6. Practical Application in Trading:
Entry and Exit Signals: The script can be used to generate entry and exit signals. For instance:
Buy Signal: When the bar turns green (price is above Supertrend and SAR), it could be a signal to go long.
Sell Signal: When the bar turns red (price is below Supertrend and SAR), it could be a signal to go short or exit a long position.
Stop-Loss Placement: The Parabolic SAR dots can act as trailing stop-loss levels, helping traders lock in profits as trends progress.
Trend Continuation vs. Reversal: The Supertrend provides a broader view of the trend, while the Parabolic SAR provides pinpoint entry/exit signals for reversals.
🚀 Conclusion:
This script is a robust combination of trend-following and reversal indicators, making it a versatile tool for traders. The dual confirmation from Supertrend and Parabolic SAR reduces false signals, and the color-coded bars provide quick insights into market conditions. When used properly, this can greatly improve your ability to catch trends early, exit at the right moment, and manage risk effectively.
Highest High Line with Multi-Timeframe Supertrend and RSIOverview:
This powerful indicator combines three essential elements for traders:
Highest High Line – Tracks the highest price over a customizable lookback period across different timeframes.
Multi-Timeframe Supertrend – Displays Supertrend values and trend directions for multiple timeframes simultaneously.
Relative Strength Index (RSI) – Shows RSI values across different timeframes for momentum analysis.
Features:
✅ Customizable Highest High Line:
Selectable timeframes: Daily, Weekly, Monthly, Quarterly, Yearly
Adjustable lookback period
✅ Multi-Timeframe Supertrend:
Supports 1min, 5min, 10min, 15min, 30min, 1H, Daily, Weekly, Monthly, Quarterly, Yearly
ATR-based calculation with configurable ATR period and multiplier
Identifies bullish (green) & bearish (red) trends
✅ Multi-Timeframe RSI:
Calculates RSI for the same timeframes as Supertrend
Overbought (≥70) and Oversold (≤30) signals with color coding
✅ Comprehensive Table Display:
A clean, structured table in the bottom-right corner
Displays Supertrend direction, value, and RSI for all timeframes
Helps traders quickly assess trend and momentum alignment
How to Use:
Use the Highest High Line to identify key resistance zones.
Confirm trend direction with Multi-Timeframe Supertrend.
Check RSI values to avoid overbought/oversold conditions before entering trades.
Align multiple timeframes for stronger confirmation of trend shifts.
Ideal For:
✅ Scalpers (lower timeframes: 1m–30m)
✅ Swing Traders (higher timeframes: 1H–D)
✅ Position Traders (Weekly, Monthly, Quarterly)
💡 Tip: Look for Supertrend & RSI confluence across multiple timeframes for higher probability setups.
ZigZag Chart with SupertrendHello All,
This script creates Zigzag Chart by using Zigzag waves, so it's timeless chart meaning that no time dependency on X-axis. Optionally it can calculate & show Zigzag Supertrend or Simple Moving Average. Also it can change bar colors of the main chart by trend direction of Zigzag Supertrend.
As seen below, each zigzag wave is a candle on Zigzag chart:
You have a few options and using these options you can find best settings for the securities/timeframes.
You can change Zigzag period, if you change Zigzag Period then all zigzag and the chart is recalculated/reconstructed.
You have option to show Zigzag Supertrend or Zigzag Moving Average, the options you have;
- You can change ATR Length and ATR multiplier for supertrend
- You can change Length for Simple Moving Average
You can change Zigzag candle & wick colors using options. Also you have option to change bar colors according to Zigzag Supertrend direction.
As it's timeless chart, below you can see how/when bar colors and Zigzag Supertrend change:
You can see Simple Moving Average of the Zigzag Candles:
You can play with ATR length and multiplier to find best supertrend:
You can play with the candle & wick colors:
Enjoy!
Multi Fibonacci Supertrend with Signals【FIbonacciFlux】Multi Fibonacci Supertrend with Signals (MFSS)
Overview
The Multi Fibonacci Supertrend with Signals (MFSS) is an advanced technical analysis tool that combines multiple Supertrend indicators using Fibonacci ratios to identify trend directions and potential trading opportunities.
Key Features
1. Fibonacci-Based Supertrend Levels
* Factor 1 (Weak) : 0.618 - The golden ratio
* Factor 2 (Medium) : 1.618 - The Fibonacci ratio
* Factor 3 (Strong) : 2.618 - The extension ratio
2. Visual Components
* Multi-layered Trend Lines
* Different line weights for easy identification
* Progressive transparency from Factor 1 to Factor 3
* Color-coded trend directions (Green for bullish, Red for bearish)
* Dynamic Fill Areas
* Gradient fills between price and trend lines
* Visual representation of trend strength
* Automatic color adjustment based on trend direction
* Signal Indicators
* Clear BUY/SELL labels on chart
* Position-adaptive signal placement
* High-visibility color scheme
3. Signal Generation Logic
The system generates signals based on two key conditions:
* Primary Condition :
* BUY : Price crossunder Supertrend2 (Factor 1.618)
* SELL : Price crossover Supertrend2 (Factor 1.618)
* Confirmation Filter :
* Signals only trigger when Supertrend3 confirms the trend direction
* Reduces false signals in volatile markets
Technical Details
Input Parameters
* ATR Period : 10 (default)
* Customizable for different market conditions
* Affects sensitivity of all Supertrend levels
* Factor Settings :
* All factors are customizable
* Default values based on Fibonacci sequence
* Minimum value: 0.01
* Step size: 0.01
Alert System
* Built-in alert conditions
* Customizable alert messages
* Real-time notification support
Use Cases
* Trend Trading
* Identify strong trend directions
* Filter out weak signals
* Confirm trend continuations
* Risk Management
* Multiple trend levels for stop-loss placement
* Clear entry and exit signals
* Trend strength visualization
* Market Analysis
* Multi-timeframe analysis capability
* Trend strength assessment
* Market structure identification
Benefits
* Reliability
* Based on proven Supertrend algorithm
* Enhanced with Fibonacci mathematics
* Multiple confirmation levels
* Clarity
* Clear visual signals
* Easy-to-interpret interface
* Reduced noise in signal generation
* Flexibility
* Customizable parameters
* Adaptable to different markets
* Suitable for various trading styles
Performance Considerations
* Optimized code structure
* Efficient calculation methods
* Minimal resource usage
Installation and Usage
Setup
* Add indicator to chart
* Adjust parameters if needed
* Enable alerts as required
Best Practices
* Use with other confirmation tools
* Adjust factors based on market volatility
* Consider timeframe appropriateness
Backtesting Results and Strategy Performance
This indicator is specifically designed for pullback trading with optimized risk-reward ratios in trend-following strategies. Below are the detailed backtesting results from our proprietary strategy implementation:
BTCUSDT Performance (Binance)
* Test Period: Approximately 7 years
* Risk-Reward Ratio: 2:1
* Take Profit: 8%
* Stop Loss: 4%
Key Metrics (BTCUSDT):
* Net Profit: +2,579%
* Total Trades: 551
* Win Rate: 44.8%
* Profit Factor: 1.278
* Maximum Drawdown: 42.86%
ETHUSD Performance (Binance)
* Risk-Reward Ratio: 4.33:1
* Take Profit: 13%
* Stop Loss: 3%
Key Metrics (ETHUSD):
* Net Profit: +8,563%
* Total Trades: 581
* Win Rate: 32%
* Profit Factor: 1.32
* Maximum Drawdown: 55%
Strategy Highlights:
* Optimized for pullback trading in strong trends
* Focus on high risk-reward ratios
* Proven effectiveness in major cryptocurrency pairs
* Consistent performance across different market conditions
* Robust profit factor despite moderate win rates
Note: These results are from our proprietary strategy implementation and should be used as reference only. Individual results may vary based on market conditions and implementation.
Important Considerations:
* The strategy demonstrates strong profitability despite lower win rates, emphasizing the importance of proper risk-reward ratios
* Higher drawdowns are compensated by significant overall returns
* The system shows adaptability across different cryptocurrencies with consistent profit factors
* Results suggest optimal performance in volatile crypto markets
Real Trading Examples
BTCUSDT 4-Hour Chart Analysis
Example of pullback strategy implementation on Bitcoin, showing clear trend definition and entry points
ETHUSDT 4-Hour Chart Analysis
Ethereum chart demonstrating effective signal generation during strong trends
BTCUSDT Detailed Signal Example (15-Minute Scalping)
Close-up view of signal generation and trend confirmation process on 15-minute timeframe, demonstrating the indicator's effectiveness for scalping operations
Chart Analysis Notes:
* Green and red zones clearly indicate trend direction
* Multiple timeframe confirmation visible through different Supertrend levels
* Clear entry signals during pullbacks in established trends
* Precise stop-loss placement opportunities below support levels
Implementation Guidelines:
* Wait for main trend confirmation from Factor 3 (2.618)
* Enter trades on pullbacks to Factor 2 (1.618)
* Use Factor 1 (0.618) for fine-tuning entry points
* Place stops below the relevant Supertrend level
Footnotes:
* Charts provided are from Binance exchange, using both 4-hour and 15-minute timeframes
* Trading view screenshots captured during actual market conditions
* Indicators shown: Multi Fibonacci Supertrend with all three factors
* Time period: Recent market activity showing various market conditions
Important Notice:
These charts are for educational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk management.
Disclaimer
This indicator is for informational purposes only. Past performance is not indicative of future results. Always conduct proper risk management and due diligence.
License
Open source under MIT License
Author's Note
Contributions and suggestions for improvement are welcome. Please feel free to fork and enhance.
MTF Bollinger Bands, SuperTrend, TEMA Wave and ATR Stop LossThis script is a combination of useful overlay indicators that can be used for day trading or swing trading. You can use it for long term positions as well, but some tweaking may be required. I also added the multi time frame possibility for the majority of settings. This indicator gives you a lot of opportunities and trade setups. Default settings are made for day trading, using intraday time frames.
This script can display the following:
4 independent Bollinger Bands (MTF)
4 independent SuperTrends (MTF)
6 independent TEMAs (MTF)
ATR Stop loss for longs / shorts
Default settings display 3 Bollinger Bands, 2 TEMAs(I have found these two TEMAs particullarly useful, see screenshots below) and a signle SuperTrend.
Do not forget to always use a proper stop loss and risk management.
Here you can see the script in action in different markets:
BTC - BitMex - Setup before the drop from 7400 USD
BTC - BitMex - Setup before the drop from 8400 USD
BTC - BitMex - Setup before the pump to 7800 USD
BTC - BitMex - Setup before the pump to 6800 USD
PDF-MA Supertrend [BackQuant]PDF-MA Supertrend
The PDF-MA Supertrend combines the innovative Probability Density Function (PDF) smoothing with the widely popular Supertrend methodology, creating a robust tool for identifying trends and generating actionable trading signals. This indicator is designed to provide precise entries and exits by dynamically adapting to market volatility while visualizing long and short opportunities directly on the chart.
Core Feature: PDF Smoothing
At the foundation of this indicator is the PDF smoothing technique, which applies a Probability Density Function to calculate a smoothed moving average. This method allows the indicator to assign adaptive weights to data points, making it responsive to market changes without overreacting to short-term volatility.
Key parameters include:
Variance: Controls the spread of the PDF weighting. A smaller variance results in sharper responses, while a larger variance smooths out the curve.
Mean: Shifts the PDF’s center, allowing traders to tweak how weights are distributed around the data points.
Smoothing Method: Offers the choice between EMA (Exponential Moving Average) and SMA (Simple Moving Average) for blending the PDF-smoothed data with traditional moving average methods.
By combining these parameters, the PDF smoothing creates a moving average that effectively captures underlying trends.
Supertrend: Adaptive Trend and Volatility Tracking
The Supertrend is a well-known volatility-based indicator that dynamically adjusts to market conditions using the ATR (Average True Range). In this script, the PDF-smoothed moving average acts as the price input, making the Supertrend calculation more adaptive and precise.
Key Supertrend Features:
ATR Period: Determines the lookback period for calculating market volatility.
Factor: Multiplies the ATR to set the distance between the Supertrend and the price. A higher factor creates wider bands, filtering out smaller price movements, while a lower factor captures tighter trends.
Dynamic Direction: The Supertrend flips its direction based on price interactions with the calculated upper and lower bands:
Uptrend : When the price is above the Supertrend, the direction turns bullish.
Downtrend : When the price is below the Supertrend, the direction turns bearish.
This combination of PDF smoothing and Supertrend calculation ensures that trends are detected with greater accuracy, while volatility filters out market noise.
Long and Short Signal Generation
The PDF-MA Supertrend generates actionable trading signals by detecting transitions in the trend direction:
Long Signal (𝕃): Triggered when the trend transitions from bearish to bullish. This is visually represented with a green triangle below the price bars.
Short Signal (𝕊): Triggered when the trend transitions from bullish to bearish. This is marked with a red triangle above the price bars.
These signals provide traders with clear entry and exit points, ensuring they can capitalize on emerging trends while avoiding false signals.
Customizable Visualization Options
The indicator offers a range of visualization settings to help traders interpret the data with ease:
Show Supertrend: Option to toggle the visibility of the Supertrend line.
Candle Coloring: Automatically colors candlesticks based on the trend direction:
Green for long trends.
Red for short trends.
Long and Short Signals (𝕃 + 𝕊): Displays long (𝕃) and short (𝕊) signals directly on the chart for quick identification of trade opportunities.
Line Color Customization: Allows users to customize the colors for long and short trends.
Alert Conditions
To ensure traders never miss an opportunity, the PDF-MA Supertrend includes built-in alerts for trend changes:
Long Signal Alert: Notifies when a bullish trend is identified.
Short Signal Alert: Notifies when a bearish trend is identified.
These alerts can be configured for real-time notifications via SMS, email, or push notifications, making it easier to stay updated on market movements.
Suggested Parameter Adjustments
The indicator’s effectiveness can be fine-tuned using the following guidelines:
Variance:
For low-volatility assets (e.g., indices): Use a smaller variance (1.0–1.5) for smoother trends.
For high-volatility assets (e.g., cryptocurrencies): Use a larger variance (1.5–2.0) to better capture rapid price changes.
ATR Factor:
A higher factor (e.g., 2.0) is better suited for long-term trend-following strategies.
A lower factor (e.g., 1.5) captures shorter-term trends.
Smoothing Period:
Shorter periods provide more reactive signals but may increase noise.
Longer periods offer stability and better alignment with significant trends.
Experimentation is encouraged to find the optimal settings for specific assets and trading strategies.
Trading Applications
The PDF-MA Supertrend is a versatile indicator suited to a variety of trading approaches:
Trend Following : Use the Supertrend line and signals to follow market trends and ride sustained price movements.
Reversal Trading : Spot potential trend reversals as the Supertrend flips direction.
Volatility Analysis : Adjust the ATR factor to filter out minor price fluctuations or capture sharp movements.
Final Thoughts
The PDF-MA Supertrend combines the precision of Probability Density Function smoothing with the adaptability of the Supertrend methodology, offering traders a powerful tool for identifying trends and volatility. With its customizable parameters, actionable signals, and built-in alerts, this indicator is an excellent choice for traders seeking a robust and reliable system for trend detection and entry/exit timing.
As always, backtesting and incorporating this indicator into a broader strategy are recommended for optimal results.
DH: (Study) Super Smart SuperTrend: Self AdjustingSUPER SMART SUPERTREND (Study Version w/Alerts)
Using data from other indicators I came up with a SMART SUPERTREND that auto-adjusts as the market changes - shall we call it "Artificial Intelligence?" Yes, you can fine tune it for specific assets and timeframes, but once the settings are entered, it auto-adjusts as the market and prices evolve.
This is the STUDY version of "Super Smart SuperTrend" with ALERTS. There is also a STRATEGY version which is designed for backtesting various settings.
STRATEGY VERSION FOR BACKTESTING IS HERE
ABOUT THIS INDICATOR
As the name suggests, 'Supertrend' is a trend-following indicator that is notably popular here on Tradingview and elsewhere. It does a remarkably great job of recognizing a trend (in progress) and it will signal you to initiate a position when the trend is clear. Perhaps the greater value of Supertrend is that it helps keep you in your position until that trend is over.
WHAT'S THE BEST ATR PERIOD AND MULTIPLIER?
There are two important data points we must enter for Supertrend to work, namely the 'period (ATR number of candles or days)' and the 'multiplier (value by which ATR is multiplied)' BTW, in case you don't know, ATR signals the degree of price volatility. A common default setting is 10 for the ATR period and 3 for the multiplier.
SORRY, BUT THE MOVIE STARTED HALF HOUR AGO...
Unfortunately Supertrend has a couple of big weaknesses. Generally, it fails in a sideways-moving market and when it does detect a trend, the signal to get in (or out) comes rather late. It's like someone telling you about a great movie they're watching, but by the time you start watching, one-third of the movie is over... bummer, right?
HOW TO IMPROVE SUPERTREND
One solution is to combine Supertrend with other indicators such as MACD, Parabolic SAR, RSI, etc. And another solution is to experiment (backtest) with the Period and Multiplier settings for the asset and timeframe you are considering for trade.
For the STANDARD SETTINGS in this "Super Smart SuperTrend" indicator, I have set 9 for the ATR and 2.2 for the multiplier as default after backtesting on Bitcoin and other crypto (mostly in the 15 minute to 6 HOUR timeframe). Of course you can change this easily to any ATR period and Multiplier you like.
BUT... WHY NOT GET SMART?
I started thinking, it might be best if we let the market determine candle-by-candle what the settings should be. If everyone says that Supertrend works best in conjunction with other indicators, why not do our "conjuncting" programmatically (ie: automatically) sorta like artificial intelligence!
HOW IT WORKS
So here's what I did. Using data from other indicators I came up with a SMART SUPERTREND that auto-adjusts as the market changes. It still has settings so you can fine tune it for specific assets and timeframes, but once the settings are entered, it auto-adjusts as the market and prices evolve.
With "Super Smart SuperTrend" there is no ATR period setting (that is determined programmatically) and now there are TWO multipliers you can experiment with... (a lower one set at 1.7 default and a higher one at 2.5). These multiplier settings create a multiplier range that can be used programmatically to adjust the multiplier as the market and prices evolve.
THE RESULTS
Across all time frames and assets I've tested, I generally get better results. Better entries, better exits and well defined trends. In comparison with a STANDARD Supertrend, it is not radically different, but when it does differ "Super Smart SuperTrend: is almost always better. All this is substantiated by backtesting of course.
SAMPLE BACKTEST RESULTS (BTC/USD)
Using Indicator Defaults
TIMEFRAME STANDARD RESULTS SUPER SMART RESULTS
% Profitable | Profit Factor % Profitable | Profit Factor
DAY 58.33% 9.38 75.00% 10.77
4 HOUR 78.43% 18.22 80.95% 21.78
1 HOUR 74.11% 8.98 70.13% 9.34
15 MIN 58.10% 6.10 71.43% 9.48
Keep in mind that "Profit Factor" is key. It basically tells you what you'd make for every ONE DOLLAR invested by consistently trading with the backtested parameters.
SUPER SMART SUPERTREND FEATURES
• There is a STUDY VERSION w/Alerts
• There is a STRATEGY VERSION for Backtesting
• Standard 'Current Time Frame' SuperTrend Line
• Standard 'Higher Time Frame' SuperTrend Line
• Auto-Adjusting Dynamic Optimized SuperTrend Line
> Most Signals Are Same or Better than Standard
> Refine Results w/Sensitivity Inputs (2 Multipliers)
> Impressive Comparison Backtests
• Both Standard and Smart Signals and Alerts
• Toggle Any Line/Signal (On/Off)
• Toggle Backtest
> Standard vs. "Smart Auto-Adjust"
> Backtest Higher Timeframe Only
WHAT MORE COULD YOU ASK FOR?
So glad you asked. Actually, there is more... Super Smart SuperTrend is incorporated into my premier indicator set called: STONEHENGE PLUS: SUPERTREND TRADING TOOLKIT.
With STONEHENGE, I'm combining this Super Smart SuperTrend with dozens of other indicators plus predictive "Stones." Check out STONEHENGE... you'll be in Trader's Heaven.
That's it. Get "SMART" Today!
STONEHENGE PLUS:
The Complete SuperTrend Trading Toolkit
SUPER SMART SUPERTREND ALSO WORKS WITH:
STONEHENGE BASIC: Double Stone Version (Study w/Alerts):
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PLEASE HIT THE LIKE BUTTON (and follow me... lots of great stuff in the works!)
As always, I appreciate your support. Please share with others.
ENJOY!
Dan Hollings
Master Crypto Grid Trader
Stonehenge Master Mason
Host of the "High Leverage Lounge"
Please Explore My Other Indicators, Scripts, Grids and Educational Ideas.
@DanHollings on Tradingview.
Additional Links Below...
Volatility Layered Supertrend [NLR]We’ve all used Supertrend, but do you know where to actually enter a trade? Volatility Layered Supertrend (VLS) is here to solve that! This advanced trend-following indicator builds on the classic Supertrend by not only identifying trends and their strength but also guiding you to the best trade entry points. VLS divides the main long-term trend into “Strong” and “Weak” Zones, with a clear “Trade Entry Zone” to help you time your trades with precision. With layered trends, dynamic profit targets, and volatility-adaptive bands, VLS delivers actionable signals for any market.
Why I Created VLS Over a Plain Supertrend
I built VLS to address the gaps in traditional Supertrend usage and make trade entries clearer:
Single-Line Supertrend Issues: The default Supertrend sets stop-loss levels that are too wide, making it impractical for most traders to use effectively.
Unclear Entry Points: Standard Supertrend doesn’t tell you where to enter a trade, often leaving you guessing or entering too early or late.
Multi-Line Supertrend Enhancement: Many traders use short, medium, and long Supertrends, which is helpful but can lack focus. In VLS, I include Short, Medium, and Long trends (using multipliers 1 to 3), and add multipliers 4 and 5 to track extra long-term trends—helping to avoid fakeouts that sometimes occur with multiplier 3.
My Solution: I focused on the main long-term Supertrend and split it into “Weak Zone” and “Strength Zone” to show the trend’s reliability. I also defined a “Trade Entry Zone” (starting from the Mid Point, with the first layer’s background hidden for clarity) to guide you on where to enter trades. The zones include Short, Medium, and Long Trend layers for precise entries, exits, and stop-losses.
Practical Trading: This approach provides realistic stop-loss levels, clear entry points, and a “Profit Target” line that aligns with your risk tolerance, while filtering out false signals with longer-term trends.
Key Features
Layered Trend Zones: Short, Medium, Long, and Extra Long Trend layers (up to multipliers 4 and 5) for timing entries and exits.
Strong & Weak Zones: See when the trend is reliable (Strength Zone) or needs caution (Weak Zone).
Trade Entry Zone: A dedicated zone starting from the Mid Point (first layer’s background hidden) to show the best entry points.
Dynamic Profit Targets: A “Profit Target” line that adjusts with the trend for clear goals.
Volatility-Adaptive: Uses ATR to adapt to market conditions, ensuring reliable signals.
Color-Coded: Green for uptrends, red for downtrends—simple and clear.
How It Works
VLS enhances the main long-term Supertrend by dividing it into two zones:
Weak Zone: Indicates a less reliable trend—use tighter stop-losses or wait for the price to reach the Trade Entry Zone.
Strength Zone: Signals a strong trend—ideal for entries with wider stop-losses for bigger moves.
The “Trade Entry Zone” starts at the Mid Point (last layer’s background hidden for clarity), showing you the best area to enter trades. Each zone includes Short, Medium, Long, and Extra Long Trend sublevels (up to multipliers 4 and 5) for precise trade timing and to filter out fakeouts. The “Profit Target” updates dynamically based on trend direction and volatility, giving you a clear goal.
How to Use
Spot the Trend: Green bands = buy, red bands = sell.
Check Strength: Price in Strength Zone? Trend’s reliable—trade confidently. In Weak Zone? Use tighter stops or wait.
Enter Trades: Use the “Trade Entry Zone” (from the Mid Point upward) for the best entry points.
Use Sublevels: Short, Medium, Long, and Extra Long layers in each zone help fine-tune entries and exits.
Set Targets: Follow the Profit Target line for goals—it updates automatically.
Combine Tools: Pair with RSI, MACD, or support/resistance for added confirmation.
Settings
ATR Length: Adjust the ATR period (default 10) to change sensitivity.
Up/Down Colors: Customize colors—green for up, red for down, by default.
Variety Volatility Supertrend w/ Bands [Loxx]Variety Volatility Supertrend w/ Bands indicator is a powerful and highly customizable tool for traders. Building upon the foundational concept of the classic Supertrend indicator, this variant adds a plethora of user-driven options and features that can cater to diverse trading styles and market scenarios.
The Supertrend indicator is traditionally used to identify market trends by overlaying a line on the price chart, which changes color and position in relation to the price based on the trend direction. The Variety Volatility Supertrend w/ Bands takes this a step further by offering various volatility calculations, visual enhancements, explicit trading signals, and alert conditions.
It provides five options for volatility calculations, enabling users to select the most suitable measure for their strategy. This indicator also allows users to control the display of the upper, lower, and mid bands, which can serve as dynamic support and resistance levels. Further, it can display explicit trading signals when the trend changes direction and set up alerts for these signals.
█ User Inputs
Source: Defines the source of the price data, typically the closing price.
Period: Defines the lookback period for the chosen volatility calculation.
Mid Price Period: Defines the number of periods for calculating the mid-price.
Multiplier: The factor by which the volatility measure (e.g., ATR) is multiplied.
Volatility Type: The user can choose one of five different calculations for the volatility measure: ATR, Standard Error, Standard Deviation, Custom Standard Deviation with Sample Correction, and Custom Standard Deviation without Sample Correction.
Classic Supertrend: Enables the classic version of the Supertrend indicator if set to true.
Show Upper Band, Show Lower Band, Show Mid: Determines whether the upper, lower, and middle bands of the Supertrend indicator are displayed.
Outer Line Width, Mid Line Width: Controls the line widths of the outer and middle lines.
Color Bars: Colors the price bars based on the direction of the trend if enabled.
Show signals: Displays trading signals on the chart if enabled.
Bull Color, Bear Color: Controls the colors of the Supertrend indicator during bullish and bearish market conditions.
█ Computations
The script begins by calculating the chosen volatility measure (ATR, Standard Error, Standard Deviation, etc.) and the mid-price, which is the average of the highest and lowest prices over the specified Mid Price Period. It then calculates the upper and lower bands by adding and subtracting the product of the Multiplier and the volatility measure from the mid-price.
The script then compares the current price with the previous upper and lower bands to determine the trend direction. If the current price is greater than the previous upper band, the trend is considered bullish. If it's less than the previous lower band, the trend is bearish.
█ Visualizations
The script plots the upper, lower, and mid bands on the chart based on the user's settings. If Color Bars is enabled, the script colors the price bars based on the trend direction. If Show signals is enabled, the script displays shapes on the chart to represent trading signals when the trend changes direction.
█ Alerts
Finally, the script sets up alert conditions for long and short trading signals. When these conditions are met, TradingView sends an alert to the user with a message indicating the indicator's name, the type of signal (long or short), and the symbol and closing price of the asset.
█ Visualization Modes
Classic Supertrend
The Classic Supertrend mode essentially transforms the "Variety Volatility Supertrend w/ Bands " indicator to behave more like the traditional Supertrend indicator.
In the traditional Supertrend indicator, there is a single line that shifts positions based on the trend direction. When the market is in an uptrend, the Supertrend line is plotted below the price, acting as a dynamic support level. Conversely, when the market is in a downtrend, the Supertrend line moves above the price, acting as a dynamic resistance level.
When you set Classic Supertrend to True in this script, it mimics this behavior. It will only display one line (the Supertrend line) instead of the upper and lower bands. The Supertrend line will switch between the calculated upper band and lower band based on the trend direction:
In an uptrend, it plots the lower band as the Supertrend line (acting as a dynamic support level).
In a downtrend, it plots the upper band as the Supertrend line (acting as a dynamic resistance level).
Thus, when Classic Supertrend is True, the display is similar to the regular Supertrend indicator, offering a more simplified, less cluttered view of the price trend.
See here for the Classic Supertrend
Supertrend Moving Average with Bands
When the Classic Supertrend option is turned off in the "Variety Volatility Supertrend w/ Bands " indicator, the indicator displays upper and lower bands along with the midline, depending on the user's settings. These bands can serve as dynamic support and resistance levels, and they move and adjust based on the market's volatility.
Support and resistance are key concepts in technical analysis. Support is a price level where the price tends to find a floor as it falls, indicating a greater amount of demand or buying interest that can prop up the prices. Resistance, on the other hand, is a price level where rising prices tend to stop rising, indicating a greater amount of supply or selling interest.
In the context of the "Variety Volatility Supertrend w/ Bands " indicator:
Upper Band: This can act as a dynamic resistance level in a downtrend. When prices are falling, they might struggle to rise above this band. If prices do break above the upper band, it could be a sign that the downtrend is reversing, and a new uptrend may be beginning.
Lower Band: Conversely, this can act as a dynamic support level in an uptrend. When prices are rising, they might bounce off this band and continue to rise. If prices break below the lower band, it could indicate that the uptrend is reversing, and a new downtrend may be beginning.
The benefit of these dynamic support and resistance levels is that they adjust automatically as market conditions change, potentially offering more relevant insights into price behavior compared to static support and resistance levels.
See here for the Supertrend Moving Average with Bands
█ Volatility Types
The "Variety Volatility Supertrend w/ Bands " indicator provides five options for the volatility calculation. Volatility is a statistical measure of the dispersion of returns for a given security or market index. In most cases, the higher the volatility, the riskier the security. Here's a quick summary of each option:
Average True Range (ATR): This is a common volatility measure in the world of trading, particularly for commodities and forex markets. It measures the average of true price ranges over a specified period. The true range considers the most recent period's high-low range, the previous close to the most recent high, and the previous close to the most recent low, taking the highest value.
Standard Error: This is a measure of the accuracy of predictions made with statistical techniques. In the context of trading, the standard error can give traders an idea of the quality of their volatility or price level estimates. It's calculated using the standard deviation of the price data, the square root of the number of data points.
Standard Deviation: This is a measure of the dispersion of a set of data from its mean. It's a commonly used volatility measure in finance. In trading, a higher standard deviation suggests greater price volatility.
Custom Standard Deviation - with Sample Correction: This is a variation of the standard deviation calculation, but it applies a correction for small sample sizes. It's calculated similarly to the standard deviation, but the sum of the squares is divided by (n-1) instead of n to provide a more accurate estimate when working with a small number of data points.
Custom Standard Deviation - without Sample Correction: This is another variation of the standard deviation calculation, but without the sample correction. This might be used when the number of data points is sufficiently large that the correction is not necessary.
The choice of volatility measure can have a significant impact on the sensitivity of the Supertrend indicator. Some measures may result in wider bands and fewer trend changes, while others may produce narrower bands and more frequent trend changes. The choice of volatility measure should align with the trader's strategy and risk tolerance.
█ Multiple Timeframe options
The "Variety Volatility Supertrend w/ Bands " indicator, like most indicators on the TradingView platform, can be applied to various timeframes, regardless of the chart's current timeframe. The timeframe of an indicator is determined by the timeframe of the price data it processes.
This indicator's flexibility with timeframes allows it to be used in different trading strategies. Day traders might use shorter timeframes like 1-minute or 15-minute charts, swing traders might use 1-hour or 4-hour charts, and long-term investors might use daily or weekly charts.
See here for the Supertrend Moving Average with Bands on 4-hour chart using Daily data
Supertrend StatsSupertrend with Probabilistic Stats and MA Filter
Overview: The Supertrend with Probabilistic Stats and MA Filter is a comprehensive TradingView Pine Script indicator designed to enhance trading strategies by combining the trend-detection capabilities of the Supertrend indicator with the trend-confirmation strength of Moving Averages (MA). Additionally, it offers robust statistical tracking to provide traders with valuable insights into the performance and reliability of their trading signals.
Key Features:
Supertrend Indicator Integration:
Trend Detection: Utilizes the Supertrend algorithm to identify prevailing market trends.
Buy/Sell Signals: Generates clear buy and sell signals based on trend reversals.
Customizable Parameters: Allows adjustment of ATR period and multiplier to suit different trading styles and market conditions.
Visual Aids: Plots Supertrend lines on the chart and highlights trend areas for easy visualization.
Moving Average (MA) Filter:
Trend Confirmation: Filters buy signals to occur only when the open price is above the MA and sell signals only when the open price is below the MA.
Customizable MA Types: Supports various MA types, including SMA, EMA, SMMA (RMA), WMA, and VWMA.
Flexible Configuration: Offers options to enable/disable the MA filter, select MA type, set MA length, and adjust MA source and offset.
Statistical Tracking:
Trimmed Mean Calculation: Computes trimmed means for bullish and bearish movements, removing outliers to provide a more accurate average movement.
Success Rate Metrics: Calculates the success rates (%) for both bullish and bearish signals, indicating the percentage of signals that resulted in favorable price movements.
Candle Count Analysis: Tracks the average number of candles each bullish and bearish move lasts, offering insights into the duration of trends.
Data Visualization: Presents all statistical data in a neatly formatted table on the chart, allowing for quick reference and analysis.
Customizable Statistics Table:
Text Color Customization: Provides an option to change the table text color to match personal preferences or chart aesthetics, enhancing readability.
Comprehensive Metrics: Displays key statistics such as Bullish/Bearish Averages, Counts, Success Rates, and Average Candle Counts.
Optional Pinbar Filtering:
Signal Refinement: Adds an additional layer of signal confirmation by filtering buy and sell signals based on pinbar candlestick patterns.
Adjustable Thresholds: Allows customization of the pinbar wick threshold to fine-tune signal accuracy.
Visual Enhancements:
Markers: Optionally displays markers on the first and last candles of bullish and bearish moves for better trend identification.
Highlighter: Shades the chart background to indicate current trend direction, aiding in visual trend recognition.
How It Works:
Trend Identification with Supertrend:
The indicator calculates the Supertrend based on user-defined ATR periods and multipliers.
It plots the Supertrend lines and generates buy/sell signals when the price crosses these lines, indicating a potential trend reversal.
Filtering Signals with Moving Average:
When the MA filter is enabled, the indicator ensures that buy signals are only considered valid if the candle's open price is above the selected MA, and sell signals only if the open price is below the MA.
This additional confirmation aligns trades with the broader market trend, potentially increasing signal reliability.
Statistical Analysis:
Upon triggering a buy or sell signal, the indicator records the entry price and tracks the subsequent price movements.
It calculates trimmed means to assess average movements while excluding extreme outliers.
Success rates are computed by comparing the closing price against the entry price, indicating how often signals result in favorable outcomes.
The average number of candles per move provides insight into trend duration and volatility.
Visualization and Customization:
All statistical data is presented in a table on the chart, with customizable text colors for enhanced readability.
Optional pinbar filtering and visual markers further refine and illustrate trading signals, aiding in decision-making.
Benefits to Traders:
Enhanced Signal Reliability:
By combining Supertrend with an MA filter, the indicator ensures that only signals aligning with the broader market trend are considered, potentially reducing false signals.
Data-Driven Decision Making:
The comprehensive statistical tracking offers traders insights into the performance of their signals, enabling informed adjustments to their trading strategies based on empirical data.
Trend Confirmation and Alignment:
The MA filter acts as a trend confirmation tool, ensuring that trades are placed in the direction of the prevailing trend, which can enhance the probability of successful trades.
Performance Metrics at a Glance:
The statistics table provides all necessary performance metrics in a single view, allowing traders to quickly assess the effectiveness of their strategy without sifting through extensive data.
Customization and Flexibility:
With options to adjust MA types, lengths, and table text colors, traders can tailor the indicator to fit their specific preferences and trading environments.
Visual Clarity and Aids:
The plotted Supertrend lines, MA line, signal markers, and highlighter enhance visual clarity, making it easier to identify trends and potential trade opportunities on the chart.
Usage Instructions:
Adding the Indicator:
Copy the Script: Select and copy the entire Pine Script provided.
Open TradingView: Navigate to TradingView and open your desired asset's chart.
Access Pine Editor: Click on the Pine Editor tab at the bottom of the TradingView interface.
Paste and Add to Chart: Paste the script into the editor and click "Add to Chart" to apply the indicator.
Configuring Settings:
Supertrend Parameters: Adjust the ATR period and multiplier to suit your trading style and the asset's volatility.
MA Filter Settings:
Enable MA Filter: Toggle "Enable MA Filter?" to ON to activate the filter.
Select MA Type: Choose from SMA, EMA, SMMA (RMA), WMA, or VWMA.
Set MA Length: Define the period for the MA calculation.
MA Source and Offset: Choose the price source (default is close) and set any desired plot offset.
Statistical Tracking:
Trimmed Mean Percentage: Set the percentage to trim outliers in mean calculations.
Show Cross Markers: Toggle to display or hide markers on the first and last candles of bullish and bearish moves.
Table Customization:
Table Text Color: Select your preferred text color for the statistics table to match your chart's theme or enhance readability.
Pinbar Filtering (Optional):
Enable Pinbar Filtering: Toggle to refine signals based on pinbar patterns.
Set Pinbar Wick Threshold: Adjust the threshold to define the characteristics of a valid pinbar.
Interpreting the Indicators:
Buy/Sell Signals: Look for labeled "BUY" and "SELL" signals on the chart that align with Supertrend reversals and MA conditions.
Statistics Table: Refer to the table located at the bottom right of the chart to assess:
Bullish/Bearish Averages: Average price movements following signals.
Counts: Total number of bullish and bearish signals.
Success Rates (%): Percentage of signals that resulted in profitable trades.
Candle Averages: Average duration of bullish and bearish moves in terms of candle counts.
Markers and Highlighter: Utilize visual markers and shaded trend areas to better understand market trends and the context of each signal.
Making Informed Decisions:
Assess Signal Performance: Use the success rates and averages to evaluate the effectiveness of your current settings and make necessary adjustments.
Adjust Parameters: Modify Supertrend and MA parameters based on observed performance and changing market conditions to optimize signal accuracy.
Combine with Other Analysis: Integrate insights from this indicator with other technical analysis tools and fundamental factors to form a holistic trading strategy.
Conclusion: The Supertrend with Probabilistic Stats and MA Filter indicator offers a powerful combination of trend detection, signal filtering, and statistical analysis. By providing detailed performance metrics and ensuring that trades align with the broader market trend, this indicator empowers traders to make more informed, data-driven decisions. Whether you're a novice seeking clarity or an experienced trader aiming to refine your strategy, this tool serves as a valuable asset in your trading toolkit.
If you have any further questions or require additional customizations, feel free to reach out!
Median Supertrend [BackQuant]Median Supertrend Concept by BackQuant ©
This was created since the normal supertrend is noisy, in the attempts to remove that and still get a good signal we decided to use a special median calculation as the source to a modified supertrend. This allows us to reduce noise, and make the supertrend adaptive to volatility. The full description and reasoning, including definitions and backtests are as follows:
1. Definition of Median
The median is a statistical measure that identifies the middle value in a given set of numbers when those numbers are arranged in either ascending or descending order. If the dataset has an even number of observations, the median is calculated as the average of the two middle numbers. This measure is particularly useful in understanding the central tendency of data, especially in cases where the dataset may contain outliers that could skew the mean. For example, in a dataset representing the earnings of families, the median provides a more accurate reflection of the typical income than the mean if the dataset includes extreme values.
2. Understanding Supertrend and Its Use Case
Supertrend is a popular trend-following indicator used in technical analysis. It is computed using the Average True Range (ATR) to capture volatility, combined with a moving average. The indicator provides clear signals to traders about bullish or bearish trends, indicating potential entry and exit points. Traders often use Supertrend in various market conditions to enhance their trading strategies, leveraging its simplicity and effectiveness in identifying ongoing trends and reversals.
3. Rationale Behind Combining Median with Supertrend
The integration of the median into the Supertrend indicator seeks to mitigate the impact of outliers and sudden market spikes that can affect trend analysis. By using the median value of price data for trend determination, the Median Supertrend aims to offer a more stable and reliable indicator that reflects the underlying market conditions more accurately than traditional methods. This modification is intended to improve the timing of trend detection and the precision of entry and exit signals.
4. Key Differences and Benefits
Enhanced Stability: The use of median values reduces sensitivity to extreme price movements, offering a smoother trend line that can lead to more reliable trading signals.
Adaptive Sensitivity: Users can adjust the indicator's sensitivity to align with different trading styles and market conditions through customizable parameters like the ATR multiplier and lookback period.
Explicit Trading Signals: The indicator simplifies the trading process by providing clear, actionable long and short signals based on trend reversals, aiding in decision-making.
Customizability: Options to use Heikin Ashi candles, paint candles based on the trend, and toggle signal visibility allow traders to personalize the indicator to their preference.
5. User Inputs
The Median Supertrend indicator includes several user inputs to tailor its operation:
Use HA Candles as Source?: Option to base calculations on Heikin Ashi candles for smoother price data.
Paint Candles According to Trend?: Visual aid that colors candles based on the current trend direction, enhancing chart readability.
ATR Period and Multiplier: Parameters to adjust the sensitivity of the trend detection, allowing users to fine-tune the indicator.
Adaptive Lookback Period: Defines the period for the median calculation, offering flexibility in trend assessment.
Show Long and Short Signals: Enables traders to visualize entry signals directly on the chart.
6. Application in Trading
Traders can incorporate the Median Supertrend into their strategies as a standalone indicator for trend following or as a filter in a multi-indicator system. It is particularly useful in markets known for having outliers or sudden price jumps, as the median-based calculation provides a grounded trend analysis. This indicator can be applied across various timeframes and asset classes, making it a versatile tool for day traders, swing traders, and long-term investors alike.
7. Summary and Empirical Soundness
The integration of median values into the Supertrend indicator represents an innovative approach to trend analysis, addressing some of the volatility and outlier-related challenges inherent in traditional methods. This combination is empirically sound as it leans on the statistical robustness of the median to offer a more stable and reliable trend determination mechanism.
8. Relavant Backtests on Major Assets (1D Timeframe)
We include these backtests as a general proxy for how they work.
Please do your own calibrating to suit it to your own needs and backtest.
Past results don't = future results but they can help you understand how it functions.
INDEX:BTCUSD
INDEX:ETHUSD
BINANCE:SOLUSD
