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AUD/USD 1-Min Scalping Strategy with LabelsHere’s a complete TradingView Pine Script v5 for the 1-minute AUD/USD scalping strategy we just discussed. This strategy uses:
EMA 13 and EMA 26 for trend filtering
Bollinger Bands for volatility extremes
RSI (4) for momentum confirmation
Double Bollinger Bands - SF2000twin BB's. One bb can be set for , eg 20 period. The other set for - eg - 50 period. compare the channels.
Intraday Combo Strategy HHStochastic RSI Momentum/Reversal quickly identifies overbought/oversold zones
MACD Momentum/Trend confirms a trend reversal, a late but powerful signal
Supertrend Trend Tracking provides clear and concise buy/sell signals
Bollinger Bands Volatility shows price deviation during breakouts/squeezes
ADX Trend Strength measures trend strength to filter out false signals
AWR_8DLRC1. Overview and Objective
The AWR_8DLRC indicator is designed to display multiple dynamic channels directly on your chart (with the overlay enabled). It creates dynamic envelopes based on a regression-like approach combined with a volatility measure derived from the root mean square error (RMSE). These channels can help identify support and resistance areas, overbought/oversold conditions, or even potential trend reversals by providing several layers of analysis using different multipliers and timeframes.
2. Input Parameters
Source and Multiplier
The indicator uses the closing price (close) as its default data source.
A floating-point parameter mult (default value: 3.0) is available. This multiplier is primarily used for channel 5, while other channels employ fixed multipliers (1, 2, or 3) to generate different sensitivity levels.
Channel Lengths
Several channels are calculated with distinct lookback lengths:
Channel 5: Uses a length of 1000 periods (its plot is commented out in the code, so it is not displayed by default).
Channel 6: Uses a length of 2000 periods.
Channel 7: Uses a length of 3000 periods.
Channel 8: Uses a length of 4000 periods.
Custom Colors and Transparencies
Each channel (or group of channels) can be customized with specific colors and transparency settings. For example, channel 6 uses a light yellow tone, channel 7 is red, and channel 8 is white.
Additionally, specific fill colors are defined for the shaded areas between the upper and lower lines of some channels, enhancing visual clarity.
3. Channel Calculation Mechanism
At the heart of the indicator is the function f_calcChannel(), which takes as input:
A data source (_src),
A period (_length), and
A multiplier (_mult).
The calculation process comprises several key steps:
Moving Averages Calculation
The function computes both a weighted moving average (WMA) and a simple moving average (SMA) over the defined length.
Baseline Determination
It then combines these averages into two values (A and B) using linear formulas (e.g., A = 4*b - 3*a and B = 3*a - 2*b). These values help to establish a baseline that represents the central trend during the lookback period.
Slope and Deviation Calculation
A slope (m) is calculated based on the difference between A and B.
The function iterates over the period, measuring the squared deviation between the actual data point and a corresponding value on the regression line. The sum of these squared deviations is used to compute the RMSE.
Defining Upper and Lower Bounds
The RMSE is multiplied by the provided multiplier (_mult) and then added to or subtracted from the baseline B to create the upper and lower channel boundaries.
This method produces an envelope that widens or narrows based on the volatility reflected by the RMSE.
This process is repeated using different multipliers (1, 2, and 3) for channels 6, 7, and 8, providing multiple levels that offer deeper insights into market conditions.
4. Chart Visualization
The indicator plots several lines and shaded regions:
Channels 6, 7, and 8: For each of these channels, three levels are calculated:
Levels with a multiplier of 1 (thin lines with a line width of 1),
Levels with a multiplier of 2 (medium lines with a line width of 2),
Levels with a multiplier of 3 (thick lines with a line width of 4).
To further enhance visual interpretation, shaded areas (fills) are added between the upper and lower lines — notably for the level with multiplier 3.
Channel 5: Although the calculations for channel 5 are included, its plot commands are commented out. This means it won’t display on the chart unless you uncomment the relevant lines by modifying the script.
5. Conditions and Alerts
Beyond the visual channels, the indicator integrates several alert conditions and visual markers:
Graphical Conditions:
The script defines conditions checking whether the price (i.e., the source) is above or below specific channel levels, particularly the levels calculated with multipliers 2 and 3.
“Mixed” conditions are also established to detect when the price is simultaneously above one set of levels and below another, aiming to highlight potential reversal areas.
Automated Alerts:
Alert conditions are programmed to notify you when the price crosses specific channel boundaries:
Alerts for conditions such as “Upper Channels 2” or “Lower Channels 2” indicate when prices exceed or fall below the second level of the channels.
Similarly, alerts for “Upper Channels 3” and “Lower Channels 3” correspond to the more extreme boundaries defined by the multiplier of 3.
Visual Symbols:
The indicator employs the plotchar() function to place symbols (like 🌙, ⚠️, 🪐, and ☢️) directly on the chart. These symbols make it easy to spot when the price meets these crucial levels.
These alert features are especially valuable for traders who rely on real-time notifications to adjust positions or watch for potential trend shifts.
6. How to Use the Indicator
Installation and Setup:
Copy the provided code into your Pine Script editor on your charting platform (e.g., TradingView) and add the indicator to your chart.
Customize the parameters according to your trading strategy:
Channel Lengths: Modify the lookback periods to see how the envelope adapts.
Colors and Transparencies: Adjust these to fit your display preferences.
Multipliers: Experiment with the multipliers to observe how different settings affect the channel widths.
Interpreting the Channels:
The upper and lower bands represent dynamic thresholds that change with market volatility.
A price that nears an upper boundary might indicate an overextended move upward, whereas a break beyond these dynamic boundaries could signal a potential trend reversal.
Utilizing Alerts:
Configure notifications based on the alert conditions so you can be alerted when the price moves beyond the defined channel levels. This can help trigger entry or exit signals, or simply keep you informed of significant price movements.
Multi-Level Analysis:
The strength of this indicator lies in its multi-level approach. With three defined levels for channels 6, 7, and 8, you gain a more nuanced view of market volatility and trend strength.
For instance, a price crossing the level with a multiplier of 2 might indicate the start of a trend change, while a break of the level with multiplier 3 might confirm a strong trend movement.
7. In Summary
The AWR_8DLRC indicator is a comprehensive tool for drawing dynamic channels based on a regression and RMSE-driven volatility measure. It offers:
Multiple channel levels, each with different lookback periods and multipliers.
Shaded regions between channel boundaries for rapid visual interpretation.
Alert conditions to notify you immediately when the price hits critical levels.
Visual markers directly on the chart to highlight key moments of price action.
This indicator is particularly suited for technical traders seeking to dynamically identify support and resistance zones with a responsive alert system. Its customizable settings and rich array of signals provide an excellent framework to refine your trading decisions.
VWAP Z-Score Oscillator + Scaled TableVWAP Z-Score Oscillator + Scaled Table
This indicator calculates the Z-Score of the VWAP (Volume Weighted Average Price) based on your chosen source price and reset period (Session, Week, Month, Quarter, or Year).
The Z-Score represents how many standard deviations the current price is from the VWAP, visualized as an oscillator oscillating between ±3 sigma levels. The indicator also features three standard deviation bands for easy reference.
To enhance readability, a scaled Z-Score is displayed in a clean, minimalistic table on the top right of the indicator panel. This score is linearly capped between -2 and +2, mapping the raw Z-Score values with limits at ±3 sigma for clarity and quick assessment.
Use this tool to identify extreme deviations from the VWAP, which may signal potential reversals or continuation of price trends.
Turtle ZoneTurtle Zone indicator helps to visually determine support and resistance zones of the price movement.
Displays a channel with zones located symmetrically around the moving average of the price.
Width of the channel is determined by the current volatility computed as average true range which makes the channel width adaptable to the volatility.
Touching of the zones from inside of the channel can be interpreted as a signal of potential reversal.
Breaking outside of the outer boundary of the zones can be interpreted as a signal of a potential continuation of price movement.
Parameters
• Price Source - Component of the bar for computation. Default is ‘hlc3’. Other reasonable values, such as ‘ohlc4’, ‘open’ or’ close’ can be used by advanced users.
• Lookback period - Amount of bars used in moving average computation. Default is 200.
• Inner Amplitude - Relative width of the inner channel. Default is 5.6.
• Outer Amplitude - Relative width of the outer channel. Default is 9.6.
Available plots for notifications
There are five plots on the graph comprising the channel: four boundaries of the channel bands and one hidden mean line of the channel:
Upper Zone Upper Line
Upper Zone Lower Line
Mean
Lower Zone Upper Line
Lower Zone Lower Line
All of the plots can be used to set up notifications.
Notes
All computations are performed in logarithmic price scale which makes this indicator useful on large timeframes.
Credits
This script uses Ehlers_Super_Smoother library by KevanoTrades
Upper and Lower bound for pairs/BTCUpper and Lower Bound for Pairs/BTC
This indicator provides dynamic upper and lower boundary levels for cryptocurrency pairs traded against BTC. It uses statistical or technical analysis methods, such as Z-Score, Bollinger Bands, or moving averages, to identify key resistance (upper bound) and support (lower bound) levels.
Key Features:
Dynamic Boundaries: Tracks real-time price fluctuations of selected pairs against BTC, adapting to market conditions.
Market Insights: Helps traders visualize potential overbought (upper bound) and oversold (lower bound) zones for pairs like ETH/BTC, DOGE/BTC, and others.
Customizable Settings: Allows users to configure lookback periods, standard deviations, or other parameters for boundary calculations.
Decision Support: Assists in identifying reversal or breakout points to refine entry and exit strategies.
This tool is ideal for traders seeking to optimize risk management and spot opportunities in BTC pair markets.
Fibonacci Displaced Moving Averages with Percentage DisplacementThis indicator combines Fibonacci levels with percentage-based displacement, creating a versatile tool for analyzing moving averages in relation to market trends and potential reversal points. It's designed to adapt to different market conditions and asset types, making it a valuable addition to a trader's toolkit.
Key Features:
Fibonacci-Infused Averages: Leverages Fibonacci ratios (0.618, 0.382, 0.236) to construct displaced moving averages. This method offers a layered perspective of market support and resistance levels.
Adaptive Percentage-Based Displacement: The displacement of the moving average is calculated as a percentage of the average, allowing for flexible and market-responsive band positioning. This feature is particularly crucial for adapting to the unique volatility and price behavior of different trading pairs.
Customizable SMA Core: The core of the indicator is a simple moving average (SMA), which can be tailored in length to suit various trading strategies and timeframes.
Logarithmic Scale Compatibility: Includes an option for logarithmic scaling, making it applicable to a broad range of assets, including those with exponential price trends.
Advanced Alert System: Equipped with a comprehensive alert system, it notifies traders of price crossings over any of the Fibonacci displaced moving averages, aiding timely market responses.
Optimizing for Different Pairs:
To maximize the indicator's effectiveness, it is crucial to fine-tune the Percentage Displacement setting according to the specific volatility and price movement characteristics of each trading pair. This customization ensures that the displaced moving averages accurately reflect the market dynamics of each asset, providing more reliable support and resistance levels for traders.
Ideal Use Cases:
This indicator is ideal for traders who seek a deeper understanding of moving averages, especially in markets where Fibonacci levels play a significant role. It is versatile enough for various trading approaches, including swing and day trading, and adaptable across multiple timeframes.
Thursday Close BandsThis script is useful for Indian Markets where weekly expiry is on Thursday.
As per last 10 years historical stats Nifty stays with in 3% range from Thursday close 80% times.
BB Strategy toobabollinger bands strategy with added upper basis and lower line on the chart.
when we use BB strategy in trading view unfortunately the upper, lower and basis line did not display.
so we solve the problem with just a little script codes and bring back the lines to the chart
MCL-YG Pair Trading StrategyThis strategy uses Bollinger Band breakouts to detect buy and sell signals on a correlated pair of assets.
Joker Linear Regression ChannelLinear regression analysis is used to predict the value of a variable based on the value of another variable. The variable you want to predict is called the dependent variable. The variable you are using to predict the other variable's value is called the independent variable. This indicator plot channel bands of Linear Regression.
Rma Stdev BandsStandard Deviation support resistances with percent boxes.
The Relative Moving Average isn’t a well-known moving average. But TradingView uses this average with two popular indicators: the Relative Strength Index (RSI) and Average True Range (ATR)
The weighting factors that the Relative Moving Average uses decrease exponentially. That way recent bars have the highest weight, while earlier bars get smaller weights the older they are.
CPR PIVOT, 2ST, 5MA, VWAPSUPERTREND
2 supertrend with diffrent patameters.
MOVING AVERAGE RIBBON
5 differenT EMA
VWAP
Simple vwap with bands nothing special
every parameters and looks can be change
AND CPR
100w EMA-SMA cloud, 200wSMA floorRepresents a support band for the full bull/bear market cycles. Bull markets tend to hold the 100w EMA over the 100w SMA. When the flippening is produced, historically for BTCUSD there is a long bear market which leads to a 200w SMA support. Then, when the 100w EMA gets above the 100w SMA again, the bear market is motly over and the bullrun starts again.
BANDSTrend indicator. It is based on a simple moving average, the maximum and minimum of this moving average for the period. When the moving average coincides with its maximum for the period , the trend is rising, when the moving average coincides with its minimum for the period, the trend is falling. The optimal periods should be selected for each timeframe and trading instrument.
Adaptive Alligator - Asymmetric MH (Entry Only)
Adaptive Alligator – Asymmetric Mexican Hat (Entry Only)
This strategy combines adaptive cycle detection (wavelet + autocorrelation), directional entropy, and a Mexican Hat filter to generate highly selective LONG entry signals. Exits are based solely on the Alligator structure. The system is designed to detect asymmetric, strong, and accelerating bullish phases while filtering out market noise.
1. Adaptive Cycle Detection: The strategy analyzes the median price using wavelet decomposition (Haar, Daubechies D4/D6, Symlet 4), wavelet detail energy, and autocorrelation. It also incorporates the ratio of short-term to long-term ATR volatility. Based on these components, it computes a dominant_cycle value, which dynamically controls the lengths of the Alligator lines (Jaw, Teeth, Lips). This adaptive behavior allows the Alligator to speed up during trending phases and slow down during noise or consolidation.
2. Directional Entropy: Entropy is measured separately for upward and downward movements within the selected lookback window. The entropy difference: e_diff = entropy_down - entropy_up represents the directional bias of the market. When e_diff > 0, the market shows an organized bullish pressure; when < 0, bearish dominance.
3. Mexican Hat Filter: The Mexican Hat (Ricker Wavelet) acts as a second-derivative filter, detecting local maxima in the acceleration of directional entropy. The filtered output (mh_out) is compared against an adaptive noise level computed as SMA(|mh_out|). A signal is considered strong only when: – mh_out exceeds the adaptive noise level, – mh_out is rising relative to the previous bar. This step is critical for eliminating false signals produced by random fluctuations.
4. Entry Logic: A LONG entry requires all three layers: (1) Alligator structure: Lips > Teeth > Jaw. (2) Directional entropy bias: e_diff > 0. (3) A strong, accelerating Mexican Hat signal confirmed by a user-defined number of bars. Once all conditions are satisfied, a buy_final entry is triggered.
5. Exit Logic: Exits are intentionally simple and rely solely on the Alligator: crossunder(lips, teeth) This clean separation ensures precise, adaptive entries and stable, consistent exits.
6. Visual Components: – Alligator lines: Jaw (blue), Teeth (red), Lips (green), plotted with their characteristic offsets. – Background coloring reflects signal strength: dark green (STRONG BUY), lime (acceleration), yellow (weak bias), transparent otherwise. – A dedicated panel displays e_diff (entropy difference), mh_out (Mexican Hat output), and the adaptive noise band.
7. Diagnostic Table: A compact diagnostic dashboard shows: – MH Value, – Noise Level, – MH Acceleration (YES/NO), – Signal Status (STRONG BUY / ACCELERATING / WEAK / BEARISH). It updates on the last bar, making it suitable for live monitoring.
8. Use Case: This strategy is highly selective and ideal as an entry module within trend-following systems. By combining wavelets, entropy, and adaptive noise modeling, it effectively filters out consolidation periods and focuses only on statistically significant bullish transitions. It can be integrated with various exit frameworks such as ATR stops, channel-based exits, range boxes, or trailing logic.
Smart Donchian Channel Hariss 3691. The Donchian Channel is a trend-following indicator. It’s primarily used to identify volatility, breakouts, and price trends.
The channel is composed of three lines:
Upper Band: The highest high over a specified period (e.g., 20 bars).
Lower Band: The lowest low over the same period.
Middle Line (optional): The average of the upper and lower bands.
2. How the Donchian Channel Detects Price Momentum
The Donchian Channel is based on price extremes, which inherently reflects momentum and market sentiments.
Price Above Midline / Upper Band: Indicates strong bullish momentum. Buyers are dominating, pushing price toward new highs.
Price Below Midline / Lower Band: Indicates strong bearish momentum. Sellers are in control, pushing price toward new lows.
Price Touching the Bands:
Upper band breakout: A potential continuation of an uptrend or trend initiation.
Lower band breakout: A potential continuation of a downtrend or trend initiation.
Bounce from the bands: Signals potential reversals or retracements.
Essentially, the Donchian Channel acts as a dynamic support and resistance level.
3. Interpreting Market Conditions
Trending Markets:
Price moves along or breaks out from the upper/lower band. Donchian Channel expands as volatility increases. Breakouts from the channel often indicate continuation of the trend.
Sideways/Range-Bound Markets:
Price oscillates between upper and lower bands. Channel width narrows. Bounces from upper/lower bands may produce false signals unless filtered by volume or trend indicators.
4. Trading Applications
Breakout Strategy:
Buy when price closes above the upper band.
Sell when price closes below the lower band.
Useful for trend-following systems.
Reversal/Bounce Strategy:
Buy when price bounces from the lower band.
Sell when price rejects the upper band.
How this indicator has been designed to reduce false signals:
Buy signal fires when price bounces from the lower band with high volume (1.5), bullish RSI and DMI/ADX.
Sell signal fires when price reverses from upper band with high volume (1.5) with bearish RSI and DMI/ADX.
One can change the RSI and RVOL setting according to trading style and class assets being traded.
Trading With this Indicator:
Buy when the signal is fired to buy, place Stop Loss just below the low of last candle and take profit @1.5 or 2 times of stop loss.
Sell when the signal is fired to sell, place stop loss just above the high of the last candle and take profit @1.5 or 2 times of stop loss.
It is to note that, this indicator is a trend following indicator, so be with the trend will avoid missing out trend following levels or early exit.
Channels Strategy [JoseMetal]============
ENGLISH
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- Description:
This strategy is based on Bollinger Bands / Keltner Channel price "rebounds" (the idea of price bouncing from one band to another).
The strategy has several customizable options, which allows you to refine the strategy for your asset and timeframe.
You can customize settings for ALL indicators, Bollinger Bands (period and standard deviation), Keltner Channel (period and ATR multiplier) and ATR (period).
- AVAILABLE INDICATORS:
You can pick Bollinger Bands or Keltner Channels for the strategy, the chosen indicator will be plotted as well.
- CUSTOM CONDITIONS TO ENTER A POSITION:
1. Price breaks the band (low below lower band for LONG or high above higher band for SHORT).
2. Same as 1 but THEN (next candle) price closes INSIDE the bands.
3. Price breaks the band AND CLOSES OUT of the band (lower band for LONG and higher band for SHORT).
4. Same as 3 but THEN (next candle) price closes INSIDE the bands.
- STOP LOSS OPTIONS:
1. Previous wick (low of previous candle if LONG and high or previous candle if SHORT).
2. Extended band, you can customize settings for a second indicator with larger values to use it as STOP LOSS, for example, Bollinger Bands with 2 standard deviations to open positions and 3 for STOP LOSS.
3. ATR: you can pick average true ratio from a source (like closing price) with a multiplier to calculate STOP LOSS.
- TAKE PROFIT OPTIONS:
1. Opposite band (top band for LONGs, bottom band for SHORTs).
2. Moving average: Bollinger Bands simple moving average or Keltner Channel exponential moving average .
3. ATR: you can pick average true ratio from a source (like closing price) with a multiplier to calculate TAKE PROFIT.
- OTHER OPTIONS:
You can pick to trade only LONGs, only SHORTs, both or none (just indicator).
You can enable DYNAMIC TAKE PROFIT, which updates TAKE PROFIT on each candle, for example, if you pick "opposite band" as TAKE PROFIT, it'll update the TAKE PROFIT based on that, on every single new candle.
- Visual:
Bands shown will depend on the chosen indicator and it's settings.
ATR is only printed if used as STOP LOSS and/or TAKE PROFIT.
- Recommendations:
Recommended on DAILY timeframe , it works better with Keltner Channels rather than Bollinger Bands .
- Customization:
As you can see, almost everything is customizable, for colors and plotting styles check the "Style" tab.
Enjoy!
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ESPAÑOL
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- Descripción:
Esta estrategia se basa en los "rebotes" de precios en las Bandas de Bollinger / Canal de Keltner (la idea de que el precio rebote de una banda a otra).
La estrategia tiene varias opciones personalizables, lo que le permite refinar la estrategia para su activo y temporalidad favoritas.
Puedes personalizar la configuración de TODOS los indicadores, Bandas de Bollinger (periodo y desviación estándar), Canal de Keltner (periodo y multiplicador ATR) y ATR (periodo).
- INDICADORES DISPONIBLES:
Puedes elegir las Bandas de Bollinger o los Canales de Keltner para la estrategia, el indicador elegido será mostrado en pantalla.
- CONDICIONES PERSONALIZADAS PARA ENTRAR EN UNA POSICIÓN:
1. El precio rompe la banda (mínimo por debajo de la banda inferior para LONG o máximo por encima de la banda superior para SHORT).
2. Lo mismo que en el punto 1 pero ADEMÁS (en la siguiente vela) el precio cierra DENTRO de las bandas.
3. El precio rompe la banda Y CIERRA FUERA de la banda (banda inferior para LONG y banda superior para SHORT).
4. Igual que el 3 pero ADEMÁS (siguiente vela) el precio cierra DENTRO de las bandas.
- OPCIONES DE STOP LOSS:
1. Mecha anterior (mínimo de la vela anterior si es LONGy máximo de la vela anterior si es SHORT).
2. Banda extendida, puedes personalizar la configuración de un segundo indicador con valores más extensos para utilizarlo como STOP LOSS, por ejemplo, Bandas de Bollinger con 2 desviaciones estándar para abrir posiciones y 3 para STOP LOSS.
3. ATR: puedes elegir el average true ratio de una fuente (como el precio de cierre) con un multiplicador para calcular el STOP LOSS.
- OPCIONES DE TAKE PROFIT:
1. Banda opuesta (banda superior para LONGs, banda inferior para SHORTs).
2. Media móvil: media móvil simple de las Bandas de Bollinger o media móvil exponencial del Canal de Keltner .
3. ATR: se puede escoger el average true ratio de una fuente (como el precio de cierre) con un multiplicador para calcular el TAKE PROFIT.
- OTRAS OPCIONES:
Puedes elegir operar sólo con LONGs, sólo con SHORTs, ambos o ninguno (sólo el indicador).
Puedes activar el TAKE PROFIT DINÁMICO, que actualiza el TAKE PROFIT en cada vela, por ejemplo, si eliges "banda opuesta" como TAKE PROFIT, actualizará el TAKE PROFIT basado en eso, en cada nueva vela.
- Visual:
Las bandas mostradas dependerán del indicador elegido y de su configuración.
El ATR sólo se muestra si se utiliza como STOP LOSS y/o TAKE PROFIT.
- Recomendaciones:
Recomendada para temporalidad de DIARIO, funciona mejor con los Canales de Keltner que con las Bandas de Bollinger .
- Personalización:
Como puedes ver, casi todo es personalizable, para los colores y estilos de dibujo comprueba la pestaña "Estilo".
¡Que lo disfrutes!
Quantum Transform - AynetQuantum Transform Trading Indicator: Explanation
This script is called a "Quantum Transform Trading Indicator" and aims to enhance market analysis by applying complex mathematical models. Written in Pine Script, the indicator includes the following elements:
1. General Structure
Quantum Parameters: Inspired by physical and mathematical concepts (Planck constant ℏ, wave function Ψ, time τ, etc.), it uses specific parameters.
Transformation Functions: Applies various mathematical operations to transform price data in different ways.
Signal Generation: Produces signals for long and short positions.
Visualization: Displays different price transformations and signals on the chart.
2. Core Parameters
The parameters allow users to control various transformations:
Planck Constant (ℏ): A scaling factor for wave modulation.
Wave (Ψ): Controls oscillation in price data.
Time (τ): The length of the lookback period for calculations.
Relativity (γ): Power factor in the Lorentz transformation.
Phase Shift (β): Manages phase shift in transformations.
Frequency (ω): Represents the frequency of price movements.
Dimensions (∇): Enables multi-dimensional field analysis.
3. Functions
a) Relativistic Transform
Inspired by the theory of relativity.
Calculates the Lorentz factor using the rate of price change.
Transforms price data to amplify the relativity effect.
b) Phase Transform
Calculates the phase of price data and applies wave modulation.
Creates phase and amplitude modulation based on the bar index.
c) Resonance Transform
Calculates resonance effects using natural frequency and oscillations.
Highlights periodic behaviors of price movements.
d) Field Transform
Applies multi-dimensional field calculations.
Combines strength, wave, and coherence aspects of price data.
e) Chaos Transform
Implements a chaos effect based on sensitivity analysis.
Simulates chaotic behaviors of price movements.
4. Main Calculations
Quantum Price: The average of all transformation functions.
Bands:
Upper Band: The highest level of quantum price.
Lower Band: The lowest level of quantum price.
Mid Band: The average of upper and lower bands.
Momentum: Calculates the rate of change in quantum price.
5. Signal Generation
Long Signal:
Triggered when the phase price crosses above the field price.
Momentum must be positive, and the price above the mid-band.
Short Signal:
Triggered when the phase price crosses below the field price.
Momentum must be negative, and the price below the mid-band.
Signal strength is calculated relative to the momentum moving average.
6. Visualization
Each transformation is displayed in a unique color.
Bands and Momentum: Visualize price behavior.
Signal Icons: Show buy/sell signals using up/down arrows on the chart.
7. Information Panel
A table in the top-right corner of the chart displays:
The current values of each transformation.
Signal strength (as a percentage).
The type of signal (⬆: Long, ⬇: Short).
Applications
Trend Following: Analyze trends with complex transformations.
Resonance and Chaos Analysis: Understand dynamic behaviors of price.
Signal Strategies: Create strong and reliable buy/sell signals.
If you have any additional questions or customization requests regarding this indicator, feel free to ask!
Dynamic Volatility EnvelopeDynamic Volatility Envelope: Indicator Overview
The Dynamic Volatility Envelope is an advanced, multi-faceted technical indicator designed to provide a comprehensive view of market trends, volatility, and potential future price movements. It centers around a customizable linear regression line, enveloped by dynamically adjusting volatility bands. The indicator offers rich visual feedback through gradient coloring, candle heatmaps, a background volatility pulse, and an on-chart trend strength meter.
Core Calculation Mechanism
Linear Regression Core :
-A central linear regression line is calculated based on a user-defined source (e.g., close, hl2) and lookback period.
-The regression line can be optionally smoothed using an Exponential Moving Average (EMA) to reduce noise.
-The slope of this regression line is continuously calculated to determine the current trend direction and strength.
Volatility Channel :
-Dynamic bands are plotted above and below a central basis line. This basis is typically the calculated regression line but shifts to an EMA in Keltner mode.
-The width of these bands is determined by market volatility, using one of three user-selectable modes:
ATR Mode : Bandwidth is a multiple of the Average True Range (ATR).
Standard Deviation Mode : Bandwidth is a multiple of the Standard Deviation of the source data.
Keltner Mode (EMA-based ATR) : ATR-based bands are plotted around a central Keltner EMA line, offering a smoother channel.
The channel helps identify dynamic support and resistance levels and assess market volatility.
Future Projection :
The indicator can project the current regression line and its associated volatility bands into the future for a user-defined number of bars. This provides a visual guide for potential future price pathways based on current trend and volatility characteristics.
Candle Heatmap Coloring :
-Candle bodies and/or wicks/borders can be colored based on the price's position within the upper and lower volatility bands.
-Colors transition in a gradient from bearish (when price is near the lower band) through neutral (mid-channel) to bullish (when price is near the upper band), providing an intuitive visual cue of price action relative to the dynamic envelope.
Background Volatility Pulse :
The chart background color can be set to dynamically shift based on a ratio of short-term to long-term ATR. This creates a "pulse" effect, where the background subtly changes color to indicate rising or falling market volatility.
Trend Strength Meter :
An on-chart text label displays the current trend status (e.g., "Strong Bullish", "Neutral", "Bearish") based on the calculated slope of the regression line relative to user-defined thresholds for normal and strong trends.
Key Features & Components
-Dynamic Linear Regression Line: Core trend indicator with optional smoothing and slope-based gradient coloring.
-Multi-Mode Volatility Channel: Choose between ATR, Standard Deviation, or Keltner (EMA-based ATR) calculations for band width.
-Customizable Vertical Gradient Channel Fills: Visually distinct fills for upper and lower channel segments with user-defined top/bottom colors and gradient spread.
-Future Projection: Extrapolates regression line and volatility bands to forecast potential price paths.
-Price-Action Based Candle Heatmap: Intuitive candle coloring based on position within the volatility channel, with adjustable gradient midpoint.
-Volatility-Reactive Background Gradient: Subtle background color shifts to reflect changes in market volatility.
-On-Chart Trend Strength Meter: Clear textual display of current trend direction and strength.
-Extensive Visual Customization: Fine-tune colors, line styles, widths, and gradient aggressiveness for most visual elements.
-Comprehensive Tooltips: Detailed explanations for every input setting, ensuring ease of use and understanding.
Visual Elements Explained
Regression Line : The primary trend line. Its color dynamically changes (e.g., green for uptrend, red-pink for downtrend, neutral for flat) based on its slope, with smooth gradient transitions.
Volatility Channel :
Upper & Lower Bands : These lines form the outer boundaries of the envelope, acting as dynamic support and resistance levels.
Channel Fill : The area between the band center and the outer bands is filled with a vertical gradient. For example, the upper band fill might transition from a darker green near the center to a lighter green at the upper band.
Band Borders : The lines outlining the upper and lower bands, with customizable color and width.
Future Projection Lines & Fill :
Projected Regression Line : An extension of the current regression line into the future, typically styled differently (e.g., dashed).
Projected Channel Bands : Extensions of the upper and lower volatility bands.
Projected Area Fill : A semi-transparent fill between the projected upper and lower bands.
Candle Heatmap Coloring : When enabled, candles are colored based on their closing price's relative position within the channel. Bullish colors appear when price is in the upper part of the channel, bearish in the lower, and neutral in the middle. Users can choose to color the entire candle body or just the wicks and borders.
Background Volatility Pulse : The chart's background color subtly shifts (e.g., between a calm green and an agitated red-pink) to reflect the current volatility regime.
Trend Strength Meter : A text label (e.g., "TREND: STRONG BULLISH") positioned on the chart, providing an at-a-glance summary of the trend.
Configuration Options
Users can tailor the indicator extensively via the settings panel, with options logically grouped:
Core Analysis Engine : Adjust regression source data, lookback period, and EMA smoothing for the regression line.
Regression Line Visuals : Control visibility, line width, trend-based colors (uptrend, downtrend, flat), slope thresholds for trend definition, strong slope multiplier (for Trend Meter), and color gradient sharpness.
Volatility Channel Configuration : Select band calculation mode (ATR, StdDev, Keltner), set relevant periods and multipliers. Customize colors for vertical gradient fills (upper/lower, top/bottom), border line colors, widths, and the gradient spread factor for fills.
Future Projection Configuration : Toggle visibility, set projection length (number of bars), line style, and colors for projected regression and band areas.
Appearance & Candle Theme : Set default bull/bear candle colors, enable/disable candle heatmap, choose if body color matches heatmap, and configure heatmap gradient target colors (bull, neutral, bear) and the gradient's midpoint.
Background Volatility Pulse : Enable/disable the background effect and configure short/long ATR periods for the volatility calculation.
Trend Strength Meter : Enable/disable the meter, and choose its on-chart position and text size.
Interpretation Notes
-The Regression Line is the primary indicator of trend direction. Its slope and color provide immediate insight.
-The Volatility Bands serve as dynamic support and resistance zones. Price approaching or touching these bands may indicate potential turning points or breakouts. The width of the channel itself reflects market volatility – widening suggests increasing volatility, while narrowing suggests consolidation.
Future Projections are not predictions but rather an extension of current conditions. They can help visualize potential areas where price might interact with projected support/resistance if the current trend and volatility persist.
Candle Heatmap Coloring offers a quick visual assessment of where price is trading within the dynamic envelope, highlighting strength or weakness relative to the channel.
The Background Volatility Pulse gives a contextual feel for overall market agitation or calmness.
This indicator is designed to be a comprehensive analytical tool. Its signals and visualizations are best used in conjunction with other technical analysis techniques, price action study, and robust risk management practices. It is not intended as a standalone trading system.
Risk Disclaimer
Trading and investing in financial markets involve substantial risk of loss and is not suitable for every investor. The Dynamic Volatility Envelope indicator is provided for analytical and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Past performance is not indicative of future results. Always use sound risk management practices and never trade with capital you cannot afford to lose. The developers assume no liability for any financial losses incurred based on the use of this indicator.






















