4 EMA with Two Timeframes and Supertrend by Natee L.Key Features:
Customizable Timeframes:
The script has two inputs (timeframe_1 and timeframe_2) where you can select the timeframes for the two sets of EMAs. For example, you could choose:
timeframe_1 = "60" for 1-hour (60-minute) EMAs.
timeframe_2 = "240" for 4-hour (240-minute) EMAs.
Four EMAs for Each Timeframe:
It calculates 4 EMAs for both the first timeframe (timeframe_1) and the second timeframe (timeframe_2).
Plotting:
The EMAs for timeframe 1 are plotted in solid colors (blue, red, green, and purple).
The EMAs for timeframe 2 are plotted with a transparent effect (using color.new), so they are visually distinct but less dominant than the first timeframe's EMAs.
How to Use:
The timeframe_1 and timeframe_2 inputs allow you to select any timeframes you prefer (e.g., "15", "30", "60", "D", "W", etc.).
The EMAs for both selected timeframes will be plotted, allowing for easy comparison between the two timeframes on the same chart.
Explanation of the Updates:
Supertrend Calculation:
The Supertrend is calculated using the ta.supertrend function, which requires two parameters:
multiplier: The multiplier used for the Average True Range (ATR) calculation.
atr_period: The period for the ATR (usually set to 14).
The supertrend variable represents the value of the Supertrend, and direction is a boolean value indicating whether the trend is up (green) or down (red).
Supertrend Plot:
The Supertrend is plotted on the chart using the plot() function. The color is determined by the direction variable:
Green if the trend is up.
Red if the trend is down.
The Supertrend line is drawn with a linewidth of 2 for visibility.
Inputs:
atr_period: The period used for the ATR calculation, typically 14.
multiplier: The multiplier for the ATR to determine the offset for the Supertrend line.
How It Works:
The 4 EMAs are calculated for both timeframes (timeframe_1 and timeframe_2), just like before.
The Supertrend is calculated based on the ATR and the multiplier parameters, and it's plotted on the main chart.
The Supertrend changes color based on the trend direction (green for an uptrend, red for a downtrend).
Customization:
You can adjust the ATR period and multiplier as needed via the input fields.
You can also adjust the timeframes (timeframe_1 and timeframe_2) for the EMAs.
This script now combines the 4 EMAs and Supertrend indicators for two different timeframes, giving you a powerful tool for trend analysis and crossover strategies.
스크립트에서 "supertrend"에 대해 찾기
Volume Weighted SuperTrend | QuantumResearchQuantumResearch Volume Weighted Supertrend (VWST)
The Volume Adaptive Supertrend (VWST) is a dynamic trend-following tool that enhances traditional Supertrend calculations by incorporating volume-weighted market conditions.
This indicator adapts its trend signals based on volume-adjusted price action, allowing traders to refine their entries and exits with improved responsiveness. 🚀📊
1. Key Features
Volume-Weighted Adaptation: Uses various moving averages (VWMA, EMA, SMA, etc.) to adjust ATR bands based on market activity.
Customizable Trend Sensitivity: Adjusts ATR multipliers separately for bullish and bearish conditions.
Adaptive Supertrend Calculation: Dynamically recalculates trend direction based on volume-enhanced price movements.
Multi-Timeframe Compatibility: Can be applied across different assets and timeframes for versatile market analysis.
Visual Clarity & Alerts: Color-coded trend signals, shaded areas, and real-time alerts for trend shifts.
2. How It Works
A. Volume-Weighted Price Calculation
The indicator applies a user-selected moving average (EMA, VWMA, SMA, etc.) to price and volume data
This ensures that trend calculations are more reactive to strong volume surges and less influenced by low-liquidity fluctuations.
B. Adaptive ATR-Based Trend Filtering
ATR bands are dynamically adjusted based on volume-weighted price action.
Separate ATR multipliers for bullish and bearish conditions allow for refined sensitivity control.
The Supertrend line shifts dynamically to reflect these conditions.
C. Signal Generation
Bullish Trend: The price closes above the adaptive Supertrend line. ✅
Bearish Trend: The price closes below the adaptive Supertrend line. ❌
Long Entry: Triggered when trend direction switches from bearish to bullish.
Short Entry: Triggered when trend direction switches from bullish to bearish.
3. Visual Representation
A. Color-Coded Trend Signals
Green Trend Line: Indicates a bullish trend.
Red Trend Line: Indicates a bearish trend.
Gray Trend Line: Neutral phase.
B. Dynamic Background Fill
Shaded Green Areas: Confirmed uptrend zones.
Shaded Red Areas: Confirmed downtrend zones.
4. Customization & Parameters
ATR Length & Multipliers: Adjust trend sensitivity with separate multipliers for bullish and bearish phases.
Moving Average Type: Select from VWMA, EMA, SMA, HMA, WMA, DEMA, TEMA for volume-weighted calculations.
Volume Length: Modify how far back volume data is used to refine trend calculations.
Color Themes: Choose from 8 distinct color modes for clear visual representation.
5. Backtest & Market Applications
Backtest Summary :
The Volume Adaptive Supertrend (VWST) has been tested across multiple assets, including:
BTC/USD
ETH/USD
SOL/USD
📊 Key Observations:
Responsive Trend Detection: The volume-weighted adaptation helps minimize lag in trend shifts.
Versatile Across Market Conditions: Works well in both trending and consolidating phases with appropriate settings.
Customizable Risk Control: ATR multipliers can be adjusted to fine-tune signal sensitivity.
⚠️ Disclaimer: This indicator is designed to complement existing analysis techniques . Market conditions vary, and no tool can guarantee future performance. Always use proper risk management when trading.
6. Final Thoughts
The Volume Weighted Supertrend (VWST) enhances traditional Supertrend indicators by incorporating volume-adjusted trend detection.
Its dynamic ATR-based trend filtering ensures greater responsiveness to real market conditions.
Suitable for trend traders, breakout traders, and risk-conscious investors looking for volume-driven confirmations.
Use it alongside other confluences to build a robust trading system.
Important Reminder: No single indicator guarantees profitability. Always validate signals with additional market context. 📊
Hyperbolic Tangent SuperTrend [InvestorUnknown]The Hyperbolic Tangent SuperTrend (HTST) is designed for technical analysis, particularly in markets with assets that have lower prices or price ratios. This indicator leverages the Hyperbolic Tangent Moving Average (HTMA), a custom moving average calculated using the hyperbolic tangent function, to smooth price data and reduce the impact of short-term volatility.
Hyperbolic Tangent Moving Average (HTMA):
The indicator's core uses a hyperbolic tangent function to calculate a smoothed average of the price. The HTMA provides enhanced trend-following capabilities by dampening the impact of sharp price swings and maintaining a focus on long-term market movements.
The hyperbolic tangent function (tanh) is commonly used in mathematical fields like calculus, machine learning and signal processing due to its properties of “squashing” inputs into a range between -1 and 1. The function provides a non-linear transformation that can reduce the impact of extreme values while retaining a certain level of smoothness.
tanh(x) =>
e_x = math.exp(x)
e_neg_x = math.exp(-x)
(e_x - e_neg_x) / (e_x + e_neg_x)
The HTMA is calculated by taking the difference between the price and its simple moving average (SMA), applying a multiplier to control sensitivity, and then transforming it using the hyperbolic tangent function.
htma(src, len, mul) =>
tanh_src = tanh((src - ta.sma(src, len)) * mul) * ta.stdev(src, len) + ta.sma(src, len)
htma = ta.sma(tanh_src, len)
Important Note: The Hyperbolic Tangent function becomes less accurate with very high prices. For assets priced above 100,000, the results may deteriorate, and for prices exceeding 1 million, the function may stop functioning properly. Therefore, this indicator is better suited for assets with lower prices or lower price ratios.
SuperTrend Calculation:
In addition to the HTMA, the indicator includes an Average True Range (ATR)-based SuperTrend calculation, which helps identify uptrends and downtrends in the market. The SuperTrend is adjusted dynamically using the HTMA to avoid false signals in fast-moving markets.
The ATR period and multiplier are customizable, allowing users to fine-tune the sensitivity of the trend signals.
pine_supertrend(src, calc_price, atrPeriod, factor) =>
atr = ta.atr(atrPeriod)
upperBand = src + factor * atr
lowerBand = src - factor * atr
prevLowerBand = nz(lowerBand )
prevUpperBand = nz(upperBand )
lowerBand := lowerBand > prevLowerBand or calc_price < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or calc_price > prevUpperBand ? upperBand : prevUpperBand
int _direction = na
float superTrend = na
prevSuperTrend = superTrend
if na(atr )
_direction := 1
else if prevSuperTrend == prevUpperBand
_direction := calc_price > upperBand ? -1 : 1
else
_direction := calc_price < lowerBand ? 1 : -1
superTrend := _direction == -1 ? lowerBand : upperBand
Inbuilt Backtest Mode:
The HTST includes an inbuilt backtest mode that enables users to test the indicator's performance against historical data, similar to TradingView strategies.
The backtest mode allows you to compare the performance of different indicator settings with a simple buy and hold strategy to assess its effectiveness in different market conditions.
Hint Table for Display Modes:
The indicator includes a Hint Table that recommends the best pane to use for different display modes. For example, it suggests using the "Overlay" mode in the same pane as the price action, while the "Backtest Mode" is better suited for a separate pane. This ensures a more organized and clear visual experience.
The Hint Table appears as a small table at the bottom of the chart with easy-to-follow recommendations, ensuring the best setup for both visual clarity and indicator functionality.
With these features, the Hyperbolic Tangent SuperTrend Indicator offers traders a versatile and customizable tool for analyzing price trends while providing additional functionalities like backtesting and display mode hints for optimal usability.
Alxuse Supertrend 4EMA Buy and Sell for tutorialAll abilities of Supertrend, moreover :
Drawing 4 EMA band & the ability to change values, change colors, turn on/off show.
Sends Signal Sell and Buy in multi timeframe.
The ability used in the alert section and create customized alerts.
To receive valid alerts the replay section , the timeframe of the chart must be the same as the timeframe of the indicator.
Supertrend with a simple EMA Filter can improve the performance of the signals during a strong trend.
For detecting the continuation of the downward and upward trend we can use 4 EMA colors.
In the upward trend , the EMA lines are in order of green, blue, red, yellow from bottom to top.
In the downward trend, the EMA lines are in order of yellow, red, blue, green from bottom to top.
How it works:
x1 = MA1 < MA2 and MA2 < MA3 and MA3 < MA4 and ta.crossunder(MA3, MA4)
x2 = MA1 < MA2 and MA2 < MA3 and MA3 < MA4 and ta.crossunder(MA2, MA3)
x3 = MA1 < MA2 and MA2 < MA3 and MA3 < MA4 and ta.crossunder(MA1, MA2)
y1 = MA4 < MA3 and MA3 < MA2 and MA2 < MA1 and ta.crossover(MA3, MA4)
y2 = MA4 < MA3 and MA3 < MA2 and MA2 < MA1 and ta.crossover(MA2, MA3)
y3 = MA4 < MA3 and MA3 < MA2 and MA2 < MA1 and ta.crossover(MA1, MA2)
Red triangle = x1 or x2 or x3
Green triangle = y1 or y2 or y3
Long = BUY signal and followed by a Green triangle
Exit Long = SELL signal
Short = SELL signal and followed by a Red triangle
Exit Short = BUY signal
It is also possible to get help from the Stochastic RSI and MACD indicators for confirmation.
For receiving a signal with these two conditions or more conditions, i am making a video tutorial that I will release soon.
Supertrend
Definition
Supertrend is a trend-following indicator based on Average True Range (ATR). The calculation of its single line combines trend detection and volatility. It can be used to detect changes in trend direction and to position stops.
The basics
The Supertrend is a trend-following indicator. It is overlaid on the main chart and their plots indicate the current trend. A Supertrend can be used with varying periods (daily, weekly, intraday etc.) and on varying instruments.
The Supertrend has several inputs that you can adjust to match your trading strategy. Adjusting these settings allows you to make the indicator more or less sensitive to price changes.
For the Supertrend inputs, you can adjust atrLength and multiplier:
the atrLength setting is the lookback length for the ATR calculation;
multiplier is what the ATR is multiplied by to offset the bands from price.
When the price falls below the indicator curve, it turns red and indicates a downtrend. Conversely, when the price rises above the curve, the indicator turns green and indicates an uptrend. After each close above or below Supertrend, a new trend appears.
Summary
The Supertrend helps you make the right trading decisions. However, there are times when it generates false signals. Therefore, it is best to use the right combination of several indicators. Like any other indicator, Supertrend works best when used with other indicators such as MACD, Parabolic SAR, or RSI.
Exponential Moving Average
Definition
The Exponential Moving Average (EMA) is a specific type of moving average that points towards the importance of the most recent data and information from the market. The Exponential Moving Average is just like it’s name says - it’s exponential, weighting the most recent prices more than the less recent prices. The EMA can be compared and contrasted with the simple moving average.
Similar to other moving averages, the EMA is a technical indicator that produces buy and sell signals based on data that shows evidence of divergence and crossovers from general and historical averages. Additionally, the EMA tries to amplify the importance that the most recent data points play in a calculation.
It is common to use more than one EMA length at once, to provide more in-depth and focused data. For example, by choosing 10-day and 200-day moving averages, a trader is able to determine more from the results in a long-term trade, than a trader who is only analyzing one EMA length.
It’s best to use the EMA when for trending markets, as it shows uptrends and downtrends when a market is strong and weak, respectively. An experienced trader will know to look both at the line the EMA projects, as well as the rate of change that comes from each bar as it moves to the next data point. Analyzing these points and data streams correctly will help the trader determine when they should buy, sell, or switch investments from bearish to bullish or vice versa.
Short-term averages, on the other hand, is a different story when analyzing Exponential Moving Average data. It is most common for traders to quote and utilize 12- and 26-day EMAs in the short-term. This is because they are used to create specific indicators. Look into Moving Average Convergence Divergence (MACD) for more information. Similarly, the 50- and 200-day moving averages are most common for analyzing long-term trends.
Moving averages can be very useful for traders using technical analysis for profit. It is important to identify and realize, however, their shortcomings, as all moving averages tend to suffer from recurring lag. It is difficult to modify the moving average to work in your favor at times, often having the preferred time to enter or exit the market pass before the moving average even shows changes in the trend or price movement for that matter.
All of this is true, however, the EMA strives to make this easier for traders. The EMA is unique because it places more emphasis on the most recent data. Therefore, price movement and trend reversals or changes are closely monitored, allowing for the EMA to react quicker than other moving averages.
Limitations
Although using the Exponential Moving Average has a lot of advantages when analyzing market trends, it is also uncertain whether or not the use of most recent data points truly affects technical and market analysis. In addition, the EMA relies on historical data as its basis for operating and because news, events, and other information can change rapidly the indicator can misinterpret this information by weighting the current prices higher than when the event actually occurred.
Summary
The Exponential Moving Average (EMA) is a moving average and technical indicator that reflects and projects the most recent data and information from the market to a trader and relies on a base of historical data. It is one of many different types of moving averages and has an easily calculable formula.
The added features to the indicator are made for training, it is advisable to use it with caution in tradings.
Trailing Stop Loss SuperTrendThe Trailing Stop Loss SuperTrend indicator is a popular technical analysis tool used by traders to identify trends and determine optimal entry and exit points in financial markets. This indicator combines elements of the SuperTrend indicator and trailing stop loss orders to provide valuable insights into market trends and potential reversals. By incorporating Average True Range (ATR) calculations, it adapts to market volatility, making it suitable for various trading strategies. Let's explore the key use cases and benefits of the Trailing Stop Loss SuperTrend indicator:
Trend Identification:
The primary purpose of the Trailing Stop Loss SuperTrend indicator is to identify market trends. It plots two lines on the chart: an upper band (referred to as the "up" line) and a lower band (referred to as the "dn" line). The direction of these bands helps traders determine the prevailing trend. When the price is above the upper band, it suggests a bullish trend, and when it is below the lower band, it indicates a bearish trend.
Entry and Exit Signals:
The Trailing Stop Loss SuperTrend indicator generates entry and exit signals based on trend changes. When the trend changes from bearish to bullish, a buy signal is triggered, indicating a potential entry point. Conversely, when the trend changes from bullish to bearish, a sell signal is generated, suggesting a possible exit or short-selling opportunity. These signals can be used in conjunction with other trading strategies or indicators to enhance trading decisions.
Trailing Stop Loss Orders:
One of the distinguishing features of the Trailing Stop Loss SuperTrend indicator is its ability to incorporate trailing stop loss orders. Traders can use the indicator's upper and lower bands as trailing stop levels to protect profits and manage risk. For example, in a bullish trend, the stop loss level can be set at the lower band, and as the price rises, the stop loss level trails along with it, locking in profits and reducing potential losses.
Volatility Adaptation:
By incorporating the ATR (Average True Range) calculation, the Trailing Stop Loss SuperTrend indicator adjusts its sensitivity to market volatility. A higher ATR multiplier widens the distance between the price and the bands, accommodating higher volatility, while a lower multiplier tightens the bands during periods of lower volatility. This adaptability makes the indicator versatile and suitable for various market conditions.
Alerts and Notifications:
The Trailing Stop Loss SuperTrend indicator provides the ability to set alerts for specific events, such as trend changes, buy signals, and sell signals. Traders can receive real-time notifications via email, SMS, or on-platform alerts, ensuring they stay informed about potential trading opportunities and important market developments.
Conclusion:
The Trailing Stop Loss SuperTrend indicator is a valuable tool for traders seeking to identify trends, generate entry and exit signals, and effectively manage risk. Its ability to adapt to market volatility and incorporate trailing stop loss orders enhances trading strategies and decision-making. By combining the SuperTrend concept with trailing stop loss functionality, this indicator provides traders with a comprehensive approach to trend analysis and risk management. Whether used in isolation or in conjunction with other indicators, the Trailing Stop Loss SuperTrend indicator offers a powerful tool for navigating the dynamic world of financial markets.
TASC 2023.07 Keeping With The Larger Trend█ OVERVIEW
TASC's July 2023 edition of Traders' Tips features an article by Barbara Star titled "Stay On Track With The Supertrend Indicator". The article explores how the supertrend indicator , whether used as a standalone tool or in conjunction with other indicators, can assist traders in aligning with the larger trend. Drawing inspiration from the article, this script enhances the supertrend indicator with additional visual and analytical features, making it easier to analyze the readings and make informed trading decisions.
█ CONCEPTS
Over the past few years, the supertrend indicator has gained significant popularity among traders. Unlike moving averages, it incorporates both price and volatility information, enabling traders to navigate upward or downward trends despite occasional price disruptions.
When using the supertrend indicator, a trader may consider entering a long position when the price surpasses the supertrend line or retraces to it after the initial crossover. Similarly, for short positions, a trader could enter when the price drops below the supertrend line or retests it. Exiting these positions can be triggered by the opposite scenario, such as a price drop below the supertrend line for long positions or a price rise above the supertrend line for short positions. To assist in monitoring the distance between the price and the indicator line, this script introduces the following display features:
Breach levels, representing fractions of the most recent maximum distance.
On-chart signals indicating crossings of the highest and lowest breach levels.
An infobox displaying the average value of the maximum distance.
█ CALCULATIONS
For calculating the supertrend line, this script uses the built-in function ta.supertrend() . Additionally, the script showcases the use of state-of-the-art PineScript® functionality, including methods and tables .
Volume MAs Supertrend | Lyro RS📊 Volume MAs Supertrend | Lyro RS is an advanced trading tool that combines volume-adjusted moving averages with a dynamic Supertrend system. This indicator provides a robust framework for identifying market trends and entry/exit points.
✨ Key Features :
📈 Volume-Weighted Moving Averages (VWMA): Integrates price and volume data to provide a more accurate moving average, allowing for better trend analysis.
🔧 Multiple MA Types: Choose from SMA, EMA, WMA, VWMA, DEMA, TEMA, RMA, HMA, ALMA to suit your preferred trading strategy.
📊 Dual-Multiplier Supertrend System: Uses ATR to dynamically calculate upper and lower bands for long and short trends, with distinct multipliers for each.
🎨 Customizable Color Schemes: Choose from Classic, Mystic, Accented, and Royal color palettes or customize your own colors for bullish and bearish trends.
🔍 Visual Enhancements: Color-coded Supertrend lines, candlesticks, and bars for quick trend identification.
⏰ Alert System: Alerts for long and short signals based on trend changes.
🔧 How It Works :
The Supertrend line is calculated using ATR over a user-defined period, with separate multipliers for long and short positions.
📈 A bullish trend is signaled when the price crosses above the upper band, and a bearish trend is signaled when the price crosses below the lower band.
🎨 The Supertrend line changes color to reflect trend direction, with candlesticks and bars matching the trend's color for visual clarity.
⚙️ Customization Options :
🛠️ Moving Average Settings: Select your preferred moving average type (SMA, EMA, VWMA, etc.) and adjust the length for smoother or more responsive trend signals.
📐 Supertrend Parameters: Define the ATR period and adjust multipliers to fine-tune sensitivity for long and short signals.
🎨 Color Configuration: Choose from predefined color palettes or create your own custom scheme for trend signals.
📈 Use Cases :
✅ Confirm market trends before entering trades.
🚪 Identify potential entry/exit points as trend directions shift.
👀 Visually analyze market conditions with color-coded candlesticks and bars.
⚠️ Disclaimer :
This indicator should not be used as a standalone tool for making trading decisions. Always combine with other forms of analysis and risk management practices.
Heiken Ashi Supertrend ADXHeiken Ashi Supertrend ADX Indicator
Overview
This indicator combines the power of Heiken Ashi candles, Supertrend indicator, and ADX filter to identify strong trend movements across multiple timeframes. Designed primarily for the cryptocurrency market but adaptable to any tradable asset, this system focuses on capturing momentum in established trends while employing a sophisticated triple-layer stop loss mechanism to protect capital and secure profits.
Strategy Mechanics
Entry Signals
The strategy uses a unique blend of technical signals to identify high-probability trade entries:
Heiken Ashi Candles: Looks specifically for Heiken Ashi candles with minimal or no wicks, which signal strong momentum and trend continuation. These "full-bodied" candles represent periods where price moved decisively in one direction with minimal retracement. These are overlayed onto normal candes for more accuarte signalling and plotting
Supertrend Filter: Confirms the underlying trend direction using the Supertrend indicator (default factor: 3.0, ATR period: 10). Entries are aligned with the prevailing Supertrend direction.
ADX Filter (Optional) : Can be enabled to focus only on stronger trending conditions, filtering out choppy or ranging markets. When enabled, trades only trigger when ADX is above the specified threshold (default: 25).
Exit Signals
Positions are closed when either:
An opposing signal appears (Heiken Ashi candle with no wick in the opposite direction)
Any of the three stop loss mechanisms are triggered
Triple-Layer Stop Loss System
The strategy employs a sophisticated three-tier stop loss approach:
ATR Trailing Stop: Adapts to market volatility and locks in profits as the trend extends. This stop moves in the direction of the trade, capturing profit without exiting too early during normal price fluctuations.
Swing Point Stop: Uses natural market structure (recent highs/lows over a lookback period) to place stops at logical support/resistance levels, honoring the market's own rhythm.
Insurance Stop: A percentage-based safety net that protects against sudden adverse moves immediately after entry. This is particularly valuable when the swing point stop might be positioned too far from entry, providing immediate capital protection.
Optimization Features
Customizable Filters : All components (Supertrend, ADX) can be enabled/disabled to adapt to different market conditions
Adjustable Parameters : Fine-tune ATR periods, Supertrend factors, and ADX thresholds
Flexible Stop Loss Settings : Each of the three stop loss mechanisms can be individually enabled/disabled with customizable parameters
Best Practices for Implementation
[Recommended Timeframes : Works best on 4-hour charts and above, where trends develop more reliably
Market Conditions: Performs well across various market conditions due to the ADX filter's ability to identify meaningful trends
Performance Characteristics
When properly optimized, this has demonstrated profit factors exceeding 3 in backtesting. The approach typically produces generous winners while limiting losses through its multi-layered stop loss system. The ATR trailing stop is particularly effective at capturing extended trends, while the insurance stop provides immediate protection against adverse moves.
The visual components on the chart make it easy to follow the strategy's logic, with position status, entry prices, and current stop levels clearly displayed.
This indicator represents a complete trading system with clearly defined entry and exit rules, adaptive stop loss mechanisms, and built-in risk management through position sizing.
Bollinger Bands + Supertrend by XoediacBollinger Bands with Supertrend Indicator by Xeodiac
This script combines two powerful technical analysis tools — Bollinger Bands and the Supertrend Indicator — to provide traders with a comprehensive view of market volatility and trend direction.
Bollinger Bands: These bands consist of a middle band (the simple moving average, or SMA) and two outer bands (calculated as standard deviations away from the middle). The upper and lower bands act as dynamic support and resistance levels, expanding during high volatility and contracting during low volatility.
Supertrend Indicator: The Supertrend is a trend-following indicator that uses the Average True Range (ATR) to calculate an adaptive threshold, indicating whether the market is in an uptrend or downtrend. The indicator changes color based on the trend direction, providing clear buy and sell signals.
Features of the Script:
Volatility-based Signals : By incorporating the Bollinger Bands, the script adjusts to market volatility. Traders can identify periods of high and low volatility, helping to gauge potential price breakouts or reversals.
Trend Confirmation: The Supertrend helps confirm the trend direction, ensuring that trades are aligned with the overall market trend. Green Supertrend signals indicate an uptrend, while red signals indicate a downtrend.
Enhanced Decision-making: By using both indicators together, traders can make more informed decisions. For instance, buying opportunities are validated when the price is near the lower Bollinger Band, and the Supertrend is in a bullish phase, and vice versa for selling.
Customizable Parameters: The script allows users to customize the settings for both the Bollinger Bands and the Supertrend, enabling fine-tuning based on trading preferences or market conditions.
Ideal Use Cases:
Identifying trend reversals or continuation patterns in trending markets.
Monitoring price action during periods of low volatility for breakout opportunities.
Filtering out false signals by combining volatility with trend strength.
25-75 Percentile SuperTrend | Mattes25-75 Percentile SuperTrend | Mattes
Overview
The 25-75 Percentile SuperTrend is an advanced trend-following indicator that enhances the traditional SuperTrend concept by incorporating percentile-based smoothing. Instead of using a simple moving average or median price, this indicator calculates the 25th and 75th percentiles over a user-defined period. These percentiles act as dynamic trend levels, adjusting more responsively to price volatility while reducing noise.
How It’s Calculated
Percentile Smoothing:
The 25th percentile of the selected source (low-end smoothing).
The 75th percentile of the selected source (high-end smoothing).
SuperTrend Logic:
The upper band is set at the 75th percentile + ATR multiplier.
The lower band is set at the 25th percentile - ATR multiplier.
The trend flips when the price crosses above/below these dynamic bands.
Signal Generation :
A bullish trend occurs when price remains above the lower band.
A bearish trend occurs when price remains below the upper band.
Trend shifts are highlighted with colored bars and lines for easy visualization.
How It Differs From Traditional SuperTrend
Uses Percentiles Instead of a Moving Average:
Traditional SuperTrend relies on ATR-based offsets from a moving average.
This version replaces the moving average with percentile smoothing, which adapts better to price behavior.
Better Noise Filtering:
Since percentiles are less sensitive to outliers, this indicator reduces false signals in choppy markets.
More Adaptive to Market Conditions:
The percentile smoothing dynamically adjusts trend detection based on price distribution rather than fixed calculations.
Why It’s Useful
✅ Reduces Whipsaws: Helps minimize false breakouts by using percentile-based bands instead of traditional ATR-only bands.
✅ Works in Different Market Conditions: Effective in both trending and ranging environments due to its adaptive nature.
✅ Enhances Trend Confidence: Provides clearer signals by filtering noise more effectively than standard SuperTrend indicators.
Application Examples
Trend Following: Use it to identify strong upward or downward trends.
Stop-Loss Placement: The upper and lower bands can serve as dynamic stop-loss levels.
Breakout Confirmation: Trend flips can confirm breakout signals from other indicators.
Mean Reversion Strategy Filtering: The 25-75 range helps identify strong versus weak reversals.
Risks & Disclaimers
Not a Standalone Strategy: This indicator should be used with other confirmation tools like volume analysis, momentum oscillators, or support/resistance levels.
False Signals in Sideways Markets: Although it reduces noise, choppy markets can still generate occasional false trend flips.
Market Adaptation Required: The best parameters may vary depending on the asset and timeframe.
This indicator was heavily inspired and influenced by the IRS/viResearch Median SuperTrend, improving upon its concept by transforming its median based calculation into a more responsive & effective counterpart of its former self.
Shoutout to all my Masterclass Brothers and L4 Gs !
Aleem Trend Supertrend EMA Title: "Supertrend and 200 EMA Crossover Strategy"
Description:
This script is designed to provide traders with a robust and original trading strategy by combining the Supertrend indicator with a 200-period Exponential Moving Average (EMA). The core concept is to utilize the strengths of both indicators to determine optimal entry and exit points.
The Supertrend indicator is well-regarded for its precision in signaling trend reversals by considering the volatility of the market, as measured by the Average True Range (ATR). It is particularly useful for identifying ongoing trends and potential reversals.
The 200 EMA is a widely-used indicator that many traders look to as a determinant of the long-term trend. When the price is above the 200 EMA, the overall market sentiment is considered bullish, and when below, bearish.
By combining these two, the script generates a Buy signal under the following conditions:
When the Supertrend turns bullish (color changes from red to green) with the closing price above the 200 EMA, or
When the price crosses above the 200 EMA while the Supertrend is already green.
A Sell signal is generated when:
The Supertrend turns bearish (color changes from green to red) with the closing price below the 200 EMA, or
The price crosses below the 200 EMA while the Supertrend is already red.
To avoid repetitive signals and to maintain clarity, the script has been enhanced with a feature to prevent multiple consecutive Buy or Sell signals. Once a Buy or Sell signal is generated, the script will not produce another identical signal until an opposing signal or an exit condition is met.
Exit signals for both Buy and Sell positions are provided to indicate when the trend is weakening or reversing, based on the Supertrend's color change in relation to the 200 EMA.
This strategy is flexible and can be utilized across various time frames and asset classes. It aims to aid traders in making more informed decisions by highlighting potential reversals and continuations in the market trend.
Usage:
To use this script, traders should observe the Buy and Sell signals as potential entry points. Exit signals should be taken as prompts to close positions or to protect profits with stop-loss adjustments. As with all strategies, it's recommended to use this in conjunction with other analysis methods and to backtest thoroughly before live implementation.
Pro ScalperOverview
The Pro Scalper indicator is a powerful day trading tool designed specifically for the 30-minute timeframe, catering to stock and cryptocurrency markets. It provides traders with buy and sell signals, dynamic overbought/oversold zones, and reversal signal indicators. By combining a Kalman-adapted Supertrend calculation for buy and sell signals, and VWMA bands to determine overbought/oversold zones, this indicator aims to assist traders in identifying potential trading opportunities for scalping and day trading strategies using trend-following and mean-reverting methods. This combination of Kalman Filtering with an adapted Supertrend seeks to mitigate false signals, filter out market noise, and aims to provide traders with more reliable buy and sell indications.
Features
Buy and Sell Signals: Pro Scalper generates buy and sell signals based on a Kalman-adapted Supertrend calculation. These signals help traders identify potential entry and exit points in the market.
Dynamic Overbought/Oversold Zones: The indicator dynamically calculates overbought and oversold zones using VWMA bands. These zones provide valuable insights into potential price exhaustion levels, aiding traders in managing risk and identifying potential reversals.
Reversal Signals (R Labels): The indicator includes "R" labels that indicate potential reversal signals. These signals are based on the overbought/oversold zones calculated with VWMA bands. The appearance of an "R" label suggests a possible price reversal, offering traders an additional tool for decision-making.
Calculations
This indicator stands out as a unique tool due to unique Kalman filtering and altered Supertrend calculation, as well as its combination of specific features. This indicator combines the following calculations to provide its features:
Kalman Filter: The indicator employs a Kalman Filter to adapt the Supertrend calculation. This calculation was based on mathematical equations derived from Rudolf E. Kalman. This Kalman Filter helps smooth out price data, reducing noise and removing outliers from data.
Supertrend Calculation: This particular supertrend possesses alterations to price series data and ATR calculations in an aim to improve signal accuracy. Additionally, the calculation uses Kalman-filtering within the calculation to provide a powerful framework to handle uncertainties, noise, and changing conditions.
VWMA Bands: VWMA (Volume-Weighted Moving Average) bands are calculated using the highest high and lowest low values with specified multipliers. These bands are used to determine the dynamic overbought and oversold zones, giving traders insights into potential price exhaustion levels. These are included with the aim to adapt to changing market conditions and price data. This adaptability allows the zones to accurately reflect the current price volatility and trend.
Utility
This tool provides traders with valuable information for scalping and day trading strategies in the 30-minute timeframe. It helps traders by:
Generating buy and sell signals, indicating potential entry and exit points.
Calculating dynamic overbought/oversold zones, enabling traders to identify potential price exhaustion levels.
Displaying "R" labels to highlight potential reversal signals.
Offering optional alerts for reversal signals, buy/sell signals, allowing traders to stay updated even when they're not actively monitoring the charts.
Remember, past performance does not guarantee future performance. Traders should utilize this indicator as part of a comprehensive trading strategy and exercise their own judgment when making trading decisions.
Master Supertrend [Trendoscope]Are you a fan of supertrend? Me too!! Here is a supertrend indicator which provides multiple variation options to chose from.
🎲 Introduction
Supertrend is a popular technical indicator used by traders to identify potential trend reversals and determine entry and exit points in financial markets. It is a trend-following indicator that combines price and volatility to generate its signals. Generally supertrend is calculated based on ATR and multiplier value which is used for calculation of stops. In these adaptions, we look to provide few variations to classical methods.
🎲 Variations
Following variations are provided in the form of settings.
🎯 Range Type
Instead of ATR, different types of ranges can be used for stop calculation. Here is the complete list used in the script.
Plus/Minus Range - Calculates plus range and minus range for each candle and uses them for different sides of stop calculation
Ladder ATR - Based on the existing concept of Ladder ATR defined in Supertrend-Ladder-ATR
True Range - True range derived from standard function ta.tr
Standard Deviation - Standard deviation of close prices
🎯 Applied Calculation
In standard ATR, rma of TR is used for calculations. But, the application calculation provides option to users to use different mechanisms. It can be a type of moving average or few other types of calculations.
Available values are
sma
ema
hma
rma
wma
high
median
medianHigh (Highest of the last N medians)
medianLow (Lowest of the last N medians)
🎯 Other options
Few other options provided are
Use Close Price - If selected stops are calculated based on the close price instead of high/low prices
Wait for Close If selected, change of supertrend direction is calculated based on close price instead of high/low prices
Diminishing Stop Distance - When selected, stop distance for the trend direction can only reduce and cannot increase. This option is useful for keeping the tight stops on strong trends.
🎯 Plus Minus Range
One of the range type used is Plus/Minus Range. What it means and how are these ranges calculated? Let's have a look.
Plus Range is an upward movement of a candle from its last price or open price whichever is lower.
Minus Range is a downward movement of a candle from its last price or open price whichever is higher.
This divides True Range into two separate range for positive and negative side.
Here are the simple settings in nutshell which reflects the same.
[Top] LHAMA SupertrendLHAMA Supertrend - Advanced Adaptive Trend Following System
Overview
The LHAMA Supertrend is an innovative trend-following indicator that combines adaptive moving average technology with intelligent signal confirmation. Unlike traditional supertrend indicators that rely on simple moving averages, this system uses my Low-High Adaptive Moving Average (🦙 LHAMA) algorithm that dynamically adjusts to market volatility and price action patterns. It is much more responsive to sudden price changes than traditional supertrend indicators, allowing you to jump in earlier and catch more of the move, and it manages this responsiveness without significantly increasing the number of false signals.
What Makes This Original
This indicator introduces several unique concepts not found in standard trend-following tools:
LHAMA Algorithm : The core innovation is the Low-High Adaptive Moving Average, which adapts its responsiveness based on the frequency of new highs and lows within a lookback period. This creates a more intelligent baseline that responds appropriately to different market conditions.
Delayed Confirmation System : Rather than generating immediate signals on price crossovers, the indicator implements a sophisticated confirmation mechanism using slope analysis. Signals are only triggered when both trend direction and momentum align, significantly reducing false signals.
Volume Integration : Optional volume weighting enhances the adaptive calculation, giving more weight to price movements during high-volume periods.
Daily Reset Functionality : Unique daily reset feature helps realign the indicator after overnight gaps, particularly useful for equity markets.
How It Works
LHAMA Calculation
The LHAMA baseline adapts using a coefficient derived from:
Frequency of new highs and lows in the lookback period
Optional volume weighting factor
Smoothed adaptation rate based on market activity
The calculation:
lhama = previous_lhama + momentum_adaptation * (price - previous_lhama)
Where the momentum adaptation increases when markets are making new highs or lows, allowing faster response during trending conditions while providing stability during consolidation.
Signal Generation
The indicator uses a two-stage signal process:
Trend Identification : Price position relative to LHAMA determines basic trend bias
Slope Confirmation : ATR-normalized slope analysis confirms momentum direction
Signal Timing : Buy/sell signals only trigger when trend direction and slope momentum align
Visual Components
LHAMA Line : The adaptive baseline with optional angle-based gradient coloring that visualizes momentum strength
Trend Clouds : Dynamic fill areas that adapt to the last confirmed signal direction
ATR Halo : Opposite-side ATR band providing optional additional context for stop-loss placement
Confirmation Signals : Clear BUY/SELL labels only appear after full confirmation
How to Use
Basic Setup
Apply to any timeframe and symbol
Default LHAMA length of 15 periods works well for most applications
Accuracy depends greatly on chart timeframe and symbol, so make sure to backtest before relying on any signals. For example, ES and NQ work best on the 15m timeframe while GC and CL work best on the 5m.
Enable daily reset for equity markets to handle overnight gaps
Signal Interpretation
Immediate Heads-up : Small triangles show instant trend changes for awareness. These are your warnings to get ready to buy or sell if price takes off. (If many triangles are being printed in both directions, that is a warning that the market is ranging and you should not blindly follow a BUY/SELL signal without additional confirmation.)
Confirmed Signals : BUY/SELL labels appear only after slope confirms the direction
Cloud Color : Locked to the last confirmed signal direction for clear regime identification
Advanced Features
Flat Threshold : Adjust the angle threshold to filter out sideways market noise
Gradient Mode : Toggle between classic supertrend coloring and momentum-based gradients
ATR Halo : Use the opposite-side cloud as a more generous trailing stop level
Risk Management
The indicator provides multiple levels for stop-loss placement:
Tight : Edge of the main trend cloud
Standard : The LHAMA Line itself
Generous : ATR halo boundary
Best Practices
Timeframe Selection : Not all timeframes on all symbols are created equal. Make sure to scroll to the left and verify that your current chart timeframe isn't throwing out tons of bad signals. This will be easy to spot as it show up as constant rapid flipping from buy to sell.
Market Conditions : Performs best in trending markets. The flat threshold setting helps filter out poor performance during strong sideways action, but no indicator is perfect.
Confirmation : Wait for confirmed BUY/SELL signals rather than acting on immediate trend flips for better risk-adjusted returns.
Key Parameters
LHAMA Length (15) : Controls the lookback period for adaptive calculation
Daily Reset : Helps maintain accuracy across overnight gaps
Flat Threshold (5°) : Filters out low-momentum signals
Volume Weighting : Enhances adaptation during high-volume periods
Alerts
The indicator provides two alert types:
"BUY (confirmed)": Triggers when bullish trend and upward slope align
"SELL (confirmed)": Triggers when bearish trend and downward slope align
These alerts fire only on confirmed signals, not on immediate price crossovers, providing higher-quality notifications.
Innovation Summary
This indicator advances trend-following methodology by introducing adaptive baseline calculation, intelligent signal confirmation, and comprehensive visual feedback systems. The combination of LHAMA adaptation, slope-based confirmation, and multi-layered risk management tools creates a more sophisticated approach to trend analysis than traditional supertrend indicators.
The result is a tool that maintains responsiveness during trending conditions while providing stability during consolidation, with clear visual cues for entry, exit, and risk management decisions.
3x Supertrend + EMA200 Signal Buy/Sell [nsen]The indicator uses signals from three Supertrend lines to determine whether to trade Buy or Sell, with the assistance of a moving average for bias.
Buy/Sell signals are generated when the conditions are met:
A Buy signal is triggered when all three Supertrend lines indicate a bullish trend and are above the EMA.
A Sell signal is triggered when all three Supertrend lines indicate a bearish trend and are below the EMA.
Indicator ใช้สัญญาณจาก Supertrend ทั้งหมด 3 เส้น โดยใช้ในการกำหนดว่าจะเลือกเทรด Buy หรือ Sell โดยการใช้ moveing average เข้ามาช่วยในการ bias
แสดงสัญญาณ Buy/Sell เมื่อเข้าเงื่อนไข
- Supertrend ทั้ง 3 เส้นเป็นสัญญาณ Bullish และอยู่เหนือเส้น EMA จะเปิดสัญญาณ Buy
- Supertrend ทั้ง 3 เส้นเป็นสัญญาณ Bearish และอยู่ใต้เส้น EMA จะเปิดสัญญาณ Sell
Dynamic Supertrend1. Indicator Overview:
This indicator is designed to plot dynamic support and resistance lines based on the Supertrend strategy, incorporating volatility through the Average True Range (ATR). The indicator changes direction when the price crosses certain thresholds, generating buy and sell signals. It also highlights the prevailing trend on the chart and can trigger alerts when a trend shift occurs.
2. Key Features:
ATR-Based Trend Calculation:
The script uses the Average True Range (ATR) to adjust the distance between the Supertrend line and the price. This ensures that the indicator adapts to market volatility.
The trend is determined by comparing the closing price to upper and lower boundaries, which are calculated by adding or subtracting a multiple of ATR to a source price (typically the average of the high and low prices).
Volatility Filter:
The script includes a function to check if the market is volatile by measuring the standard deviation of the closing price over the past 14 periods. This can potentially be used to conditionally enable or disable signals based on volatility.
Buy and Sell Signals:
When the price crosses above the Supertrend line, it indicates the start of an uptrend, triggering a "Buy" signal.
Conversely, when the price crosses below the Supertrend line, it signals a downtrend, triggering a "Sell" signal.
Both signals can be displayed on the chart with optional shapes (circles or arrows) and labels.
Highlighting Current Trend:
You can choose to highlight the trend with color shading. The areas above the price line are shaded green during an uptrend, while the areas below are shaded red during a downtrend. The highlighting is controlled through an input switch.
Customizable Inputs:
The script allows users to adjust the ATR period and multiplier, as well as control whether to show buy/sell signals and highlight trends.
The source price used for calculations can also be customized, providing flexibility for different market conditions.
Alerts for Trading Opportunities:
Alerts are configured to notify the user of key events:
When the Supertrend changes direction (from uptrend to downtrend, or vice versa).
When a buy or sell signal is generated.
3. Code Structure:
Input Settings: Users can customize the base ATR period, the multiplier for ATR, and control the display of signals and highlighting features.
Trend Calculation Logic: The code determines the uptrend and downtrend by comparing the current price against dynamic ATR-based thresholds. It ensures that trends persist until price action confirms a change.
Plotting and Signals: Plots the trend lines based on whether the trend is up or down. It also provides visual cues for buy and sell signals with circles and optional arrows/labels on the chart.
Alert System: Three alert conditions are defined: buy signal, sell signal, and a general trend direction change, allowing users to set up real-time notifications for trading actions.
4. Use Case:
This script is particularly useful for traders who:
Rely on trend-following strategies and want to enter trades based on price action.
Need visual confirmation of market direction changes.
Prefer to automate their trading signals with real-time alerts.
Want to adjust the sensitivity of the indicator by tweaking the ATR multiplier and period settings to suit different market conditions.
Overall, this dynamic Supertrend indicator can be a powerful tool for both manual and automated trading setups, offering flexibility and clarity in identifying trend shifts.
Targets For Overlay Indicators [LuxAlgo]The Targets For Overlay Indicators is a useful utility tool able to display targets during crossings made between the price and external indicators on the user chart. Users can display a series of two targets, one for crossover events and another one for crossunder event.
Alerts are included for the occurrence of a new target as well as for reached targets.
🔶 USAGE
In order for targets to be displayed users need to select an appropriate input source from the "Source" drop-down input setting. In the example above we apply the indicator to a volatility stop.
This can also easily be done by adding the "Targets For Overlay Indicators" script on the VStop indicator directly.
Targets can help users determine the price limit where the price might start deviating from an indication given by one or multiple indicators. In the context of trading, targets can help secure profits/reduce losses of a trade, as such this tool can be useful to evaluate/determine user take profits/stop losses.
Due to these essentially being horizontal levels, they can also serve as potential support/resistances, with breakouts potentially confirming new trends.
Users might be interested in obtaining new targets once one is reached, this can be done by enabling "New Target When Reached" in the target logic setting section, resulting in more frequent targets.
Lastly, users can restrict new target creation until current ones are reached. This can result in fewer and longer-term targets, with a higher reach rate.
🔹 Examples
The indicator can be applied to many overlay indicators that naturally produce crosses with the price, such as moving average, trailing stops, bands...etc.
Users can use trailing stops such as the SuperTrend or VStop to more easily create clean targets. Do note that certain SuperTrend scripts separate the upper and lower extremities of the SuperTrend into two different plot, which cannot be used with this tool, you may use the provided SuperTrend script below to have a compatible version with our tool:
//@version=5
indicator("SuperTrend", overlay = true)
factor = input.float(3, 'Factor', minval = 0)
atrLen = input.int(10, 'ATR Length', minval = 1)
= ta.supertrend(factor, atrLen)
plot(spt, 'SuperTrend', dir != dir ? na : dir < 0 ? #089981 : #f23645, 2)
plot(spt, 'Circles', dir > dir ? #f23645 : dir < dir ? #089981 : na, 3, plot.style_circles)
Using moving averages can produce more targets than other overlay indicators.
Users can apply the tool twice when using bands or any overlay indicator returning two outputs, using crossover targets for obtaining targets using the upper band as source and crossunder targets for targets using the lower band. We can also use the Trendlines with breaks indicator as example:
🔹 Dashboard
A dashboard is displayed on the top right of the chart, displaying the amount, reach rate of targets 1/2, and total amount.
This dashboard can be useful to evaluate the selected target distances relative to the selected conditions, with a higher reach rate suggesting the distance of the targets from the price allows them to be reached.
🔶 SETTINGS
Source: Indicator source used to create targets. Targets are created when the closing price crosses the specified source.
Show Target Labels: Display target labels on the chart.
Candle Coloring: Apply candle coloring based on the most recent active target.
🔹 Target
Crossover and Crossunder targets use the same settings below:
Show Target: Determines if the target is displayed or not.
Above Price Target: If selected, will create targets above the closing price.
Wait Until Reached: When enabled will not create a new target until an existing one is reached.
New Target When Reached: Will create a new target when an existing one is reached.
Evaluate Wicks: Will use high/low prices to determine if a target is reached. Unselecting this setting will use the closing price.
Target Distance From Price: Controls the distance of a target from the price. Can be determined in currencies/points, percentages, ATR multiples, or ticks.
TradeDots - Buy Sell Signals ProThe TradeDots - Buy Sell Signals Pro is an advanced technical analysis tool engineered to identify key market turning points and trend continuations. By combining multiple confirmation methods, this indicator provides traders with a comprehensive system for recognizing high-probability entry and exit points across various market conditions.
📝 HOW IT WORKS
Enhanced Supertrend Implementation
Unlike the traditional Supertrend indicator that simply changes color when price crosses above or below a calculated line, our implementation incorporates multiple layers of confirmation:
Advanced Calculation: Uses an enhanced ATR-based algorithm that incorporates trend bias detection and momentum filtering
Multi-Factor Confirmation: Considers price interaction with previous Supertrend values, not just current crossovers
Contextual Awareness: Distinguishes between different entry types based on market risk levels and momentum conditions
Visual Enhancement: Provides background shading to clearly indicate trend direction and strength
Smart Trendline Algorithm
The indicator employs a proprietary Smart Trendline that adapts to market conditions using an advanced moving average system. Unlike traditional moving averages that simply track price, the Smart Trendline incorporates volatility data to change colors based on momentum strength, providing immediate visual feedback about the current market phase with zero lag.
Calculation: Processes price data through selectable advanced calculation methods (including Hull, Jurik, and McGinley averages) with dynamic color-coding based on a modified Keltner Channel system.
Visualization: Green indicates strong bullish momentum, purple represents bearish momentum, and gray signals consolidation or uncertain conditions.
Multi-Signal Confirmation System
The indicator integrates three distinct signal mechanisms to confirm trading opportunities:
1. RSI-Sequential Reversal Signals: Combines RSI levels with seq count patterns to identify potential short-term reversals.
Calculation: Analyzes RSI conditions against specific thresholds while tracking consecutive pattern formations.
Visualization: Green triangles for buy signals and red triangles for sell signals.
2. Statistical Reversal Signals: Identifies statistically significant deviations from normal price behavior.
Calculation: Uses a modified standard deviation approach to determine when price has moved too far from its statistical average.
Visualization: Large green arrows emoji for powerful buy signals and red arrows emoji for powerful sell signals.
3. Supply & Demand Zone Detection: Automatically identifies key price levels where significant buying or selling pressure may exist.
Calculation: Uses RSI extremes combined with confirmation periods to establish high-probability reversal zones.
Visualization: Green-filled areas mark support (demand) zones and red-filled areas mark resistance (supply) zones.
Buy/Sell Signal Generation
The system generates several types of signals with varying strengths:
1. Regular Buy/Sell Signals: Generated when:
Price crosses with MA above/below the Supertrend line
RSI conditions confirm the direction
Candlestick patterns support the signal direction (bullish/bearish candle formation)
Visualized as green/red triangles
2. Strong Buy/Sell Signals: Appear when multiple confirmation factors align:
Regular buy/sell condition is met
Price is interacting with a Supply/Demand zone
Additional momentum confirmation from auxiliary indicators
Seq count reaches significant levels
Statistical Reversal signal confirms the direction
3. Breakout Signals: Special case signals that appear during:
Trend transitions after consolidation
When price breaks through significant resistance/support levels from previous trend
Following pattern completions that suggest increased momentum
Market Structure Analysis
The indicator categorizes market conditions and provides visual cues for traders:
Trend Identification: Supertrend-based algorithm with enhanced visual presentation identifies the prevailing market direction.
Bar Coloring System: Candles change color based on price position relative to EMAs to clearly display strength and direction of momentum
🛠️ HOW TO USE
Signal Interpretation
Buy Signals: "Buy" signals, Green triangles (RSI-Sequential) and large green arrows (Statistical Reversals) appear at potential buy points.
Sell Signals: "Sell" signals, Red triangles (RSI-Sequential) and large red arrows (Statistical Reversals) appear at potential sell points.
Highest Probability Entries: Occur when signals appear near or within Supply & Demand zones.
Trading Strategies
Trend-Following Strategy
1. Identify the main trend using the Smart Trendline color
2. Enter long positions during uptrends when:
Price pulls back to the Smart Trendline
Green triangles or arrows appear
Signals occur near green demand zones
3. Enter short positions during downtrends when:
Price bounces up to the Smart Trendline
Red triangles or arrows appear
Signals occur near red supply zones
Counter-Trend/Reversal Strategy
1. Look for Statistical Reversal arrows at significant price extremes
2. Confirm with an RSI-Sequential signal in the same direction
3. Pay special attention when these signals appear inside Supply & Demand zones
4. Use the Smart Trendline color change as additional confirmation
Multiple Confirmation Technique
For highest probability trades, look for:
Signal alignment (both signal types in same direction)
Supply/Demand zone interaction
Smart Trendline color supporting the signal direction
❗️LIMITATIONS
Signal Lag: The system identifies reversals after they have begun, potentially missing the absolute bottom or top.
False Signals: Can occur during periods of high volatility or range-bound markets.
Timeframe Sensitivity: Some signals work better on higher timeframes for long-term trading, while others are more effective on lower timeframes for short-term trading.
Bar Closing Requirement: All signals are based on closed candles and may be subject to change until the candle closes.
RISK DISCLAIMER
Trading involves substantial risk, and most traders may incur losses. All content, tools, scripts, articles, and education provided by TradeDots are for informational and educational purposes only. Past performance is not indicative of future results.
This indicator should be used as part of a complete trading approach that includes proper risk management, consideration of the broader market context, and confirmation from price action patterns. No trading system can guarantee profits, and users should always exercise caution and use appropriate position sizing.
Advanced Supertrend Enhanced ADXEnhanced Supertrend ADX Indicator - Technical Documentation
Overview
The Enhanced Supertrend ADX indicator combines ADX directional strength with Supertrend trend-following capabilities, creating a comprehensive trend detection system. It's enhanced with normalization techniques and multiple filters to provide reliable trading signals.
Key Features and Components
The indicator incorporates three main components:
Core ADX and Supertrend Fusion
Uses a shorter ADX period for increased sensitivity
Integrates Supertrend signals for trend confirmation
Applies a long-term moving average for trend context
Advanced Filtering System
Volatility filter: Identifies periods of significant market movement
Momentum filter: Confirms the strength and sustainability of trends
Lateral market detection: Identifies ranging market conditions
Data Normalization
Standardizes indicator readings across different instruments
Makes signals comparable across various market conditions
Reduces extreme values and false signals
Model Assumptions
The indicator operates under several key assumptions:
Market Behavior
Markets alternate between trending and lateral phases
Strong trends correlate with increased volatility
Price momentum confirms trend strength
Market transitions follow identifiable patterns
Signal Reliability
Low ADX values indicate lateral markets
Valid signals require both volatility and momentum confirmation
Multi-filter confirmation increases signal reliability
Price normalization enhances signal quality
Trading Applications
The indicator supports different trading approaches:
Trend Trading
Strong signals when all filters align
Clear distinction between bullish and bearish trends
Momentum confirmation for trend continuation
Range Trading
Clear identification of lateral markets
Band-based trading boundaries
Reduced false breakout signals
Transition Trading
Early identification of trend-to-range transitions
Clear signals for range-to-trend transitions
Momentum-based confirmation of breakouts
Risk Considerations
Important factors to consider:
Signal Limitations
Potential delay in fast-moving markets
False signals during extreme volatility
Time frame dependency
Best Practices
Use in conjunction with other indicators
Apply proper position sizing
Focus on liquid instruments
Consider market context
Performance Characteristics
The indicator shows optimal performance under specific conditions:
Ideal Conditions
Daily timeframe analysis
Clear trending market phases
Liquid market environments
Normal volatility conditions
Challenging Conditions
Choppy market conditions
Extremely low volatility
Highly volatile markets
Illiquid instruments
Implementation Recommendations
For optimal use, consider:
Market Selection
Best suited for major markets
Requires adequate liquidity
Works well with trending instruments
Timeframe Selection
Primary: Daily charts
Secondary: 4-hour charts
Caution on lower timeframes
Risk Management
Use appropriate position sizing
Set clear stop-loss levels
Consider market volatility
Monitor overall exposure
This indicator serves as a comprehensive tool for market analysis, combining traditional technical analysis with modern filtering techniques. Its effectiveness depends on proper implementation and understanding of market conditions.
Adaptive SuperTrend Oscillator [AlgoAlpha]Adaptive SuperTrend Oscillator 🤖📈
Introducing the Adaptive SuperTrend Oscillator , an innovative blend of volatility clustering and SuperTrend logic designed to identify market trends with precision! 🚀 This indicator uses K-Means clustering to dynamically adjust volatility levels, helping traders spot bullish and bearish trends. The oscillator smoothly tracks price movements, adapting to market conditions for reliable signals. Whether you're scalping or riding long-term trends, this tool has got you covered! 💹✨
🔑 Key Features:
📊 Volatility Clustering with K-Means: Segments volatility into three levels (high, medium, low) using a K-Means algorithm for precise trend detection.
📈 Normalized Oscillator : Allows for customizable smoothing and normalization, ensuring the oscillator remains within a fixed range for easy interpretation.
🔄 Heiken Ashi Candles : Optionally visualize smoothed trends with Heiken Ashi-style candlesticks to better capture market momentum.
🔔 Alert System : Get notified when key conditions like trend shifts or volatility changes occur.
🎨 Customizable Appearance : Fully customizable colors for bullish/bearish signals, along with adjustable smoothing methods and lengths.
📚 How to Use:
⭐ Add the indicator to favorites by pressing the star icon. Customize settings to your preference:
👀 Watch the chart for trend signals and reversals. The oscillator will change color when trends shift, offering visual confirmation.
🔔 Enable alerts to be notified of critical trend changes or volatility conditions
⚙️ How It Works:
This script integrates SuperTrend with volatility clustering by analyzing ATR (Average True Range) to dynamically identify high, medium, and low volatility clusters using a K-Means algorithm . The SuperTrend logic adjusts based on the assigned volatility level, creating adaptive trend signals. These signals are then smoothed and optionally normalized for clearer visual interpretation. The Heiken Ashi transformation adds an additional layer of smoothing, helping traders better identify the market's true momentum. Alerts are set to notify users of key trend shifts and volatility changes, allowing traders to react promptly.
Multi-Step FlexiSuperTrend - Indicator [presentTrading]This version of the indicator is built upon the foundation of a strategy version published earlier. However, this indicator version focuses on providing visual insights and alerts for traders, rather than executing trades. This one is mostly for @thorcmt.
█ Introduction and How it is Different
The **Multi-Step FlexiSuperTrend Indicator** is a versatile tool designed to provide traders with a highly customizable and flexible approach to trend analysis. Unlike traditional supertrend indicators, which focus on a single factor or threshold, the **FlexiSuperTrend** allows users to define multiple levels of take-profit targets and incorporate different trend normalization methods.
It comes with several advanced customization features, including multi-step take profits, deviation plotting, and trend normalization, making it suitable for both novice and expert traders.
BTCUSD 6hr Performance
█ Strategy, How It Works: Detailed Explanation
The **Multi-Step FlexiSuperTrend** works by calculating a supertrend based on multiple factors and incorporating oscillations from trend deviations. Here’s a breakdown of how it functions:
🔶 SuperTrend Calculation
At the heart of the indicator is the SuperTrend formula, which dynamically adjusts based on price movements.
🔶 Normalization of Deviations
To enhance accuracy, the **FlexiSuperTrend** calculates multiple deviations from the trend and normalizes them.
🔶 Multi-Step Take Profit Levels
The indicator allows setting up to three take profit levels, which are displayed via price level alerts. lows traders to exit part of their position at various profit intervals.
For more detail, please check the strategy version - Multi-Step-FlexiSuperTrend-Strategy:
and 'FlexiSuperTrend-Strategy'
█ Trade Direction
The **Multi-Step FlexiSuperTrend Indicator** supports both long and short trade directions.
This flexibility allows traders to adapt to trending, volatile, or sideways markets.
█ Usage
To use the **FlexiSuperTrend Indicator**, traders can set up their preferences for the following key features:
- **Trading Direction**: Choose whether to focus on long, short, or both signals.
- **Indicator Source**: The price source to calculate the trend (e.g., close, hl2).
- **Indicator Length**: The number of periods to calculate the ATR and trend (the larger the value, the smoother the trend).
- **Starting and Increment Factor**: These adjust how reactive the trend is to price movements. The starting factor dictates how far the initial trend band is from the price, and the increment factor adjusts subsequent trend deviations.
The indicator then displays buy and sell signals on the chart, along with alerts for each take-profit level.
Local picture
█ Default Settings
The default settings of the **Multi-Step FlexiSuperTrend** are carefully designed to provide an optimal balance between sensitivity and accuracy. Let’s examine these default parameters and their effect on performance:
🔶 Indicator Length (Default: 10)
The **Indicator Length** determines the lookback period for the ATR calculation. A smaller value makes the indicator more reactive to price changes, but may generate more false signals. A longer length smooths the trend and reduces noise but may delay signals.
Effect on performance: Shorter lengths perform better in volatile markets, while longer lengths excel in trending markets.
🔶 Starting Factor (Default: 0.618)
This factor adjusts the starting distance of the SuperTrend from the current price. The smaller the starting factor, the closer the trend is to the price, making it more sensitive. Conversely, a larger factor allows more distance, reducing sensitivity but filtering out false signals.
Effect on performance: A smaller factor provides quicker signals but can lead to frequent false positives. A larger factor generates fewer but more reliable signals.
🔶 Increment Factor (Default: 0.382)
The **Increment Factor** controls how the trend bands adjust as the price moves. It increases the distance of the bands from the price with each iteration.
Effect on performance: A higher increment factor can result in wider stop-loss or trend reversal bands, allowing for longer trends to develop without frequent exits. A lower factor keeps the bands closer to the price and is more suited for shorter-term trades.
🔶 Take Profit Levels (Default: 2%, 8%, 18%)
The default take-profit levels are set at 2%, 8%, and 18%. These values represent the thresholds at which the trader can partially exit their positions. These multi-step levels are highly customizable depending on the trader’s risk tolerance and strategy.
Effect on performance: Lower take-profit levels (e.g., 2%) capture small, quick profits in volatile markets, while higher levels (8%-18%) allow for a more gradual exit in strong trends.
🔶 Normalization Method (Default: None)
The default normalization method is **None**, meaning the deviations are not normalized. However, enabling normalization (e.g., **Max-Min**) can improve the clarity of the indicator’s signals in volatile or choppy markets by smoothing out the noise.
Effect on performance: Using a normalization method can reduce the effect of extreme deviations, making signals more stable and less prone to false positives.
Daily TrendDescription:
The "Daily Trend" script is a powerful technical analysis tool designed for TradingView. This indicator helps traders identify key support and resistance levels based on daily price data. It offers a visual representation of these levels, along with other technical indicators like Exponential Moving Averages (EMA), Supertrend, and Parabolic SAR.
Features:
Past Candle Price Levels: This script calculates and displays past daily candle price levels, including R1, R2, R3, R4, S1, S2, S3, and S4. These levels are vital for identifying potential reversals and breakout points.
Exponential Moving Average (EMA): The script includes an EMA indicator with a customizable period to help traders spot the trend direction and potential crossovers.
Supertrend Indicator: The Supertrend indicator is used to identify trend changes. It plots the Supertrend line and highlights the trend direction with color-coded regions.
Parabolic SAR: The Parabolic SAR indicator is integrated into the script to assist traders in identifying potential entry and exit points in the market.
Customizable Alerts: Traders can customize the indicator by choosing which past candle price levels and other features to display on the chart.
How to Use:
Apply the "Daily Trend" script to your TradingView chart.
Customize the indicator by enabling or disabling specific features, such as past candle price levels and EMA.
Pay attention to the color-coded regions for Supertrend and Parabolic SAR to determine the current trend direction.
Look for potential reversal or bounce signals based on the indicator's signals and the price action.
Consider using this script in conjunction with your trading strategy for enhanced technical analysis.
Risk Warning: Trading involves significant risk, and past performance is not indicative of future results. Always practice proper risk management and consider the broader context of the market before making trading decisions.
Trail Blaze - (Multi Function Trailing Stop Loss) - [mutantdog]Shorter version:
As the title states, this is a 'Trailing Stop' type indicator, albeit one with a whole bunch of additional functionality, making it far more versatile and customisable than a standard trailing stop.
The main set of features includes:
Three independent trailing types each with their own +/- multipliers:
- Standard % change
- ATR (aka Supertrend)
- IQR (inter-quartile range)
These can be used in isolation or summed together. A subsequent pair of direction specific multipliers are also included.
Two separate custom source inputs are available, both feature the standard options alongside a selection of 'weighted inputs' and the option to use another indicator (selected via 'AUX'):
- 'Centre' determines the value about which the trailing sum will be added to define the stop level.
- 'Trigger' determines the value used for crossing of stops, initiating trend changes and triggering alerts.
A selection of optional filters and moving averages are available for both.
Furthermore there are various useful visualisation options available, including the underlying bands that govern the stop levels. Preset alerts for trend reversals are also included.
This is not really an 'out-of-the-box' indicator. Depending upon the market and timeframe some adjustments will be necessary for it to function in a useful manner, these can be as simple or complex as the feature-set allows. Basic settings are easy to dial in however and the default state is intended as a good starting point. Alternatively with some experimentation, a plethora of unique and creative configurations are possible, making this a great tool for tweaking. Below is a more detailed overview followed by a bunch of simple example settings.
------------------------
Lengthy Version :
DESIGN & CONCEPT
Before we start breaking this down, a little background. This started off as an attempt to improve upon the ever-popular Supertrend indicator. Of course there are many excellent user created variants available utilising some interesting methods to overcome the drawbacks of the basic version. To that end, rather than copying the work of others, the direction here shifted towards a hybrid trailing stop loss with a bunch of additional user customisation options. At some point, a completely different project involving IQR got morphed into this one. After sitting through months of sideways chop (where this proved to be of limited use), at the time of publication the market has began to form some near term trend direction and it appears to be performing well in many different timeframes.
And so with that out of the way...
INPUTS
The standard Supertrend (and most other variants) includes a single source input, as default set to 'hl2' (candle mid-range). This is the centre around which the atr bands are added/subtracted to govern the stop levels. This is not however the value which is used to trigger the trend reversal, that is usually hard-coded to 'close'. For this version both source values are adjustable: labelled 'centre' and 'trigger' respectively.
Each has custom input selectors including the usual options, a selection of 'weighted inputs' and the option to use another indicator (selected from the Aux input). The 'weighted inputs' are those introduced in Weight Gain 4000, for more details please refer to that listing. These should be treated as experimental, however may prove useful in certain configurations. In this case 'hl-oc2' can be considered an estimate of the candle median and may be a good alternative to the default 'centre' setting of 'hl2', in contrast 'cc-ohlc4' can tend to favour the extremes in the trend direction so could be useful as a faster 'trigger' than the default 'close'.
To cap them off both come with a selection of moving average filters (SMA, EMA, WMA, RMA, HMA, VWMA and a simple VWEMA - note: not elastic) aswell as median and mid-range. 'Centre' can also be set to the output of 'trigger' post-filter which can be useful if working with fast/slow crosses as the basis.
DYNAMICS
This is the main section, comprised of three separate factors: 'TSL', 'ATR' and 'IQR'. The first two should be fairly obvious, 'TSL' (trailing stop loss) is simply a percentage of the 'centre' value while 'ATR' (average true range) is the standard RMA-based version as used in Supertrend, Volatility Stop etc.
The third factor is less common however: 'IQR' (inter-quartile range). In case you are unfamiliar the principle here is, for a given dataset, the greatest 25% and smallest 25% of samples are removed. The remainder is then treated as a set and the range is calculated by highest - lowest. This is a commonly used method in statistical analysis, by removing the extremes it is less prone to influence by outliers and gives a good representation of the main dispersion around the median. In practise i have found it can be a good alternative to ATR, translating better across multiple time-frames due to it representing a fraction of the total range rather than an average of per-candle range like ATR. Used in combination with the others it can also add a factor more representative of longer-term/higher-timeframe trend. By discarding outliers it also benefits from not being impacted by brief pumps/volatility, instead responding only to more sustained changes in trend, such as rallies and parabolic moves. In order to give an accurate result the IQR is calculated using a dataset of high, low and hlcc4 values for all bars within the lookback length. Once calculated this value is then halved which, strictly speaking, makes it a semi-interquartile range.
All three of these components can be used individually or summed together to create a hybrid dynamics factor. Furthermore each multiplier can be set to both positive and negative values allowing for some interesting and creative possibilities. An optional smoothing filter can be applied to the sum, this is a basic SWMA-4 which is can reduce the impact of sudden changes but does incur a noticeable lag. Finally, a basic limiter condition has been hard-coded here to prevent the sum total from ever going below zero.
Capping off this section is a pair of direction multipliers. These simply take the prior dynamics sum and allow for further multiplication applied only to one side (uptrend/lo-stop and downtrend/hi-stop). To see why this is useful consider that markets often behave differently in each direction, we've all seen prices steadily climb over several weeks and then abruptly dump in the process of a day or two, shorter time frames are no stranger to this either. A lack of downside liquidity, a panicked market, aggressive shorts. All these things contribute to significant differences in downward price action. This function allows for tighter stops in one direction compared to the other to reflect this imbalance.
VISUALISATIONS
With all of these options and possibilities, some visual aids are useful. Beneath the dynamics' section are several visual options including both sources post-filter and the actual 'bands' created by the dynamics. These are what govern the stop levels and seeing them in full can help to better understand what our various configurations actually do. We can even hide the stop levels altogether and just use the bands, making this a kind of expanded Keltner Channel. Here we can also find colour and opacity settings for everything we've discussed.
EXAMPLES
The obvious first example here is the standard %-change trailing stop loss which, from my experience, tends to be the best suited for lower time frames. Filtering should probably minimal here. In both charts here we use the default config for source inputs, the top is a standard bi-directional setup with 1.5% tsl while the bottom uses a 2.5% tsl with the histop multiplier reduced to 0 resulting in an uptrend only stoploss.
Shown here in grey is the standard Supertrend which uses 'hl2' as centre and 'close' as trigger, ATR(10) multiplied by 3. On top we have the default filtered source config with ATR(8) multiplied by 2 which gives a different yet functionally similar result, below is the same source config instead using IQR(12) multiplied by 2. Notice here the more 'stepped' response from IQR following the central rally, holding back for a while before closing in on price and ultimately initiating reversal much sooner. Unlike ATR, the length parameter for IQR is absolute and can more significantly affect its responsiveness.
Next we focus on the visualisation options, on top we have the default source config with ATR(8) multiplied by 2 and IQR(12) multiplied by 1. Here we have activated the switch to show 'bands', from this we can see the actual summed dynamics and how it influences the stop levels. Below that we have an altogether different config utilising the included filters which are now visible. In this example we have created a basic 8/21 EMA cross and set a 1% TSL, notice the brief fakeout in the middle which ordinarily might indicate a buy signal. Here the TSL functions as an additional requirement which in this case is not met and thus no buy signal is given.
Finally we have a couple of more 'experimental' examples. On top we have Lazybear's 'Variable Moving Average' in white which has been assigned via 'aux' as the centre with no additional filtering, the default config for trigger is used here and a basic TSL of 1.5% added. It's a simple example but it shows how this can be applied to other indicators. At the bottom we return to the default source config, combining a TSL of 8% with IQR(24) multiplied by -2. Note here the negative IQR with greater length which causes the stop to close in on price following significant deviations while otherwise remaining fairly wide. Combining positive and negative multiples of each factor can yield mixed results, some more useful than others depending upon suitable market conditions.
Since this has been quite lengthy, i shall leave it there. Suffice to say that there are plenty more ways to use this besides these examples. Please feel free to share any of your own ideas in the comments below. Enjoy.
