Adaptive Bollinger BandsAdaptive Bollinger Bands
This indicator displays Bollinger Bands with parameters that dynamically adjust based on market volatility. Unlike standard Bollinger Bands with fixed parameters, this version adaptively modifies both the period and standard deviation multiplier in real-time based on measured market conditions.
Key Features
Dynamic adjustment of period and standard deviation based on normalized volatility
Color-coded visualization of current volatility regime (expanding, normal, contracting)
Integration with Keltner Channels for band refinement
Bandwidth analysis for volatility regime identification
Optional on-chart parameter labels showing current settings
Band cross alerts and visual markers
Volatility Visualization
The indicator uses color-coding to display different volatility regimes:
Red: Expanding volatility regime (higher measured volatility)
Blue: Normal volatility regime (average measurements)
Green: Contracting volatility regime (lower measured volatility)
Technical Information
The indicator calculates volatility by analyzing price returns over a configurable lookback period (default 50 bars). The standard deviation of returns is normalized against historical extremes to create an adaptive scaling factor.
Band adaptation occurs through two primary mechanisms:
1. Period adjustment: Higher volatility uses shorter periods (more responsive), while lower volatility uses longer periods (more stable)
2. Standard deviation multiplier adjustment: Higher volatility increases the multiplier (wider bands), while lower volatility decreases it (tighter bands)
The middle band uses a simple moving average with the adaptive period. Additional refinement occurs through Keltner Channel integration, which can tighten bands when contained within Keltner boundaries.
Volatility regimes are determined by analyzing Bollinger Bandwidth relative to its recent history, providing contextual information about the current market state.
Settings Customization
The indicator provides extensive customization options:
- Base parameters (period and standard deviation)
- Adaptive range limits (min/max period and standard deviation)
- Keltner Channel parameters for band refinement
- Bandwidth analysis settings
- Display options for visual elements
Limitations and Considerations
All technical indicators have inherent limitations and should not be used in isolation
Past performance does not guarantee future results
The indicator requires sufficient historical data for proper volatility normalization
Smaller timeframes may produce more noise in the adaptive calculations
Parameters may require adjustment for different markets and trading styles
Band crosses are not trading signals on their own and should be evaluated with other factors
This indicator is designed to provide objective information about market volatility conditions and potential support/resistance zones. Always combine with other analysis methods within a comprehensive trading approach.
Bands and Channels
Bitcoin Halving & Fibos LevelsThis Pine Script is designed to display key Bitcoin levels on a TradingView chart, based on historical halvings and Fibonacci levels. Here's a detailed breakdown of its functionality:
Main Functionality
Bitcoin Halvings:
The script defines the dates of the last two Bitcoin halvings: May 2020 and April 2024.
It uses these dates to delimit the time range for calculating relevant maximum and minimum levels.
Maximum and Minimum Calculation:
The script tracks the maximum and minimum Bitcoin prices between the previous and current halvings.
These values are used as the basis for drawing Fibonacci levels.
Fibonacci Levels:
It calculates and draws Fibonacci retracement and extension levels based on the price range between the calculated maximum and minimum.
It visually distinguishes between standard retracement levels and extensions.
Halving Vertical Lines:
It draws vertical lines at the halving dates to highlight these important events on the chart.
Customization:
The script allows the user to customize the colors of the maximum/minimum levels, Fibonacci levels, Fibonacci extensions, and halving lines.
This script is a useful tool for Bitcoin traders who want to visualize key levels based on historical halvings and Fibonacci analysis.
_________________________________________________________________________
Este script de Pine Script está diseñado para mostrar niveles clave de Bitcoin en un gráfico de TradingView, basados en los halvings históricos y los niveles de Fibonacci. Aquí hay un desglose detallado de su funcionalidad:
**Funcionalidad principal**
* **Halvings de Bitcoin**:
* El script define las fechas de los dos últimos halvings de Bitcoin: mayo de 2020 y abril de 2024.
* Utiliza estas fechas para delimitar el rango de tiempo para calcular los niveles máximo y mínimo relevantes.
* **Cálculo de máximos y mínimos**:
* El script rastrea el precio máximo y mínimo de Bitcoin entre el halving anterior y el halving actual.
* Estos valores se utilizan como base para dibujar los niveles de Fibonacci.
* **Niveles de Fibonacci**:
* Calcula y dibuja los niveles de retroceso y extensión de Fibonacci basados en el rango de precio entre el máximo y el mínimo calculados.
* Distingue visualmente entre los niveles de retroceso estándar y las extensiones.
* **Líneas verticales de Halving**:
* Dibuja líneas verticales en las fechas de los halvings para resaltar estos eventos importantes en el gráfico.
* **Personalización**:
* El script permite al usuario personalizar los colores de los niveles máximo/mínimo, los niveles de Fibonacci, las extensiones de Fibonacci y las líneas de halving.
Este script es una herramienta útil para los traders de Bitcoin que desean visualizar niveles clave basados en halvings históricos y análisis de Fibonacci.
Wall Street Ai**Wall Street Ai – Advanced Technical Indicator for Market Analysis**
**Overview**
Wall Street Ai is an advanced, AI-powered technical indicator meticulously engineered to provide traders with in-depth market analysis and insight. By leveraging state-of-the-art artificial intelligence algorithms and comprehensive historical price data, Wall Street Ai is designed to identify significant market turning points and key price levels. Its sophisticated analytical framework enables traders to uncover potential shifts in market momentum, assisting in the formulation of strategic trading decisions while maintaining the highest standards of objectivity and reliability.
**Key Features**
- **Intelligent Pattern Recognition:**
Wall Street Ai employs advanced machine learning techniques to analyze historical price movements and detect recurring patterns. This capability allows it to differentiate between typical market noise and meaningful signals indicative of potential trend reversals.
- **Robust Noise Reduction:**
The indicator incorporates a refined volatility filtering system that minimizes the impact of minor price fluctuations. By isolating significant price movements, it ensures that the analytical output focuses on substantial market shifts rather than ephemeral variations.
- **Customizable Analytical Parameters:**
With a wide range of adjustable settings, Wall Street Ai can be fine-tuned to align with diverse trading strategies and risk appetites. Traders can modify sensitivity, threshold levels, and other critical parameters to optimize the indicator’s performance under various market conditions.
- **Comprehensive Data Analysis:**
By harnessing the power of artificial intelligence, Wall Street Ai performs a deep analysis of historical data, identifying statistically significant highs and lows. This analysis not only reflects past market behavior but also provides valuable insights into potential future turning points, thereby enhancing the predictive aspect of your trading strategy.
- **Adaptive Market Insights:**
The indicator’s dynamic algorithm continuously adjusts to current market conditions, adapting its analysis based on real-time data inputs. This adaptive quality ensures that the indicator remains relevant and effective across different market environments, whether the market is trending strongly, consolidating, or experiencing volatility.
- **Objective and Reliable Analysis:**
Wall Street Ai is built on a foundation of robust statistical methods and rigorous data validation. Its outputs are designed to be objective and free from any exaggerated claims, ensuring that traders receive a clear, unbiased view of market conditions.
**How It Works**
Wall Street Ai integrates advanced AI and deep learning methodologies to analyze a vast array of historical price data. Its core algorithm identifies and evaluates critical market levels by detecting patterns that have historically preceded significant market movements. By filtering out non-essential fluctuations, the indicator emphasizes key price extremes and trend changes that are likely to impact market behavior. The system’s adaptive nature allows it to recalibrate its analytical parameters in response to evolving market dynamics, providing a consistently reliable framework for market analysis.
**Usage Recommendations**
- **Optimal Timeframes:**
For the most effective application, it is recommended to utilize Wall Street Ai on higher timeframe charts, such as hourly (H1) or higher. This approach enhances the clarity of the detected patterns and provides a more comprehensive view of long-term market trends.
- **Market Versatility:**
Wall Street Ai is versatile and can be applied across a broad range of financial markets, including Forex, indices, commodities, cryptocurrencies, and equities. Its adaptable design ensures consistent performance regardless of the asset class being analyzed.
- **Complementary Analytical Tools:**
While Wall Street Ai provides profound insights into market behavior, it is best utilized in combination with other analytical tools and techniques. Integrating its analysis with additional indicators—such as trend lines, support/resistance levels, or momentum oscillators—can further refine your trading strategy and enhance decision-making.
- **Strategy Testing and Optimization:**
Traders are encouraged to test Wall Street Ai extensively in a simulated trading environment before deploying it in live markets. This allows for thorough calibration of its settings according to individual trading styles and risk management strategies, ensuring optimal performance across diverse market conditions.
**Risk Management and Best Practices**
Wall Street Ai is intended to serve as an analytical tool that supports informed trading decisions. However, as with any technical indicator, its outputs should be interpreted as part of a comprehensive trading strategy that includes robust risk management practices. Traders should continuously validate the indicator’s findings with additional analysis and maintain a disciplined approach to position sizing and risk control. Regular review and adjustment of trading strategies in response to market changes are essential to mitigate potential losses.
**Conclusion**
Wall Street Ai offers a cutting-edge, AI-driven approach to technical analysis, empowering traders with detailed market insights and the ability to identify potential turning points with precision. Its intelligent pattern recognition, adaptive analytical capabilities, and extensive noise reduction make it a valuable asset for both experienced traders and those new to market analysis. By integrating Wall Street Ai into your trading toolkit, you can enhance your understanding of market dynamics and develop a more robust, data-driven trading strategy—all while adhering to the highest standards of analytical integrity and performance.
Geometric Momentum Breakout with Monte CarloOverview
This experimental indicator uses geometric trendline analysis combined with momentum and Monte Carlo simulation techniques to help visualize potential breakout areas. It calculates support, resistance, and an aggregated trendline using a custom Geo library (by kaigouthro). The indicator also tracks breakout signals in a way that a new buy signal is triggered only after a sell signal (and vice versa), ensuring no repeated signals in the same direction.
Important:
This script is provided for educational purposes only. It is experimental and should not be used for live trading without proper testing and validation.
Key Features
Trendline Calculation:
Uses the Geo library to compute support and resistance trendlines based on historical high and low prices. The midpoint of these trendlines forms an aggregated trendline.
Momentum Analysis:
Computes the Rate of Change (ROC) to determine momentum. Breakout conditions are met only if the price and momentum exceed a user-defined threshold.
Monte Carlo Simulation:
Simulates future price movements to estimate the probability of bullish or bearish breakouts over a specified horizon.
Signal Tracking:
A persistent variable ensures that once a buy (or sell) signal is triggered, it won’t repeat until the opposite signal occurs.
Geometric Enhancements:
Calculates an aggregated trend angle and channel width (distance between support and resistance), and draws a perpendicular “breakout zone” line.
Table Display:
A built-in table displays key metrics including:
Bullish probability
Bearish probability
Aggregated trend angle (in degrees)
Channel width
Alerts:
Configurable alerts notify when a new buy or sell breakout signal occurs.
Inputs
Resistance Lookback & Support Lookback:
Number of bars to look back for determining resistance and support points.
Momentum Length & Threshold:
Period for ROC calculation and the minimum percentage change required for a breakout confirmation.
Monte Carlo Simulation Parameters:
Simulation Horizon: Number of future bars to simulate.
Simulation Iterations: Number of simulation runs.
Table Position & Text Size:
Customize where the table is displayed on the chart and the size of the text.
How to Use
Add the Script to Your Chart:
Copy the code into the Pine Script editor on TradingView and add it to your chart.
Adjust Settings:
Customize the inputs (e.g., lookback periods, momentum threshold, simulation parameters) to fit your analysis or educational requirements.
Interpret Signals:
A buy signal is plotted as a green triangle below the bar when conditions are met and the state transitions from neutral or sell.
A sell signal is plotted as a red triangle above the bar when conditions are met and the state transitions from neutral or buy.
Alerts are triggered only on the bar where a new signal is generated.
Examine the Table:
The table displays key metrics (breakout probabilities, aggregated trend angle, and channel width) to help evaluate current market conditions.
Disclaimer
This indicator is experimental and provided for educational purposes only. It is not intended as a trading signal or financial advice. Use this script at your own risk, and always perform your own research and testing before using any experimental tools in live trading.
Credit
This indicator uses the Geo library by kaigouthro. Special thanks to Cryptonerds and @Hazzantazzan for their contributions and insights.
Elastic Volume-Weighted Student-T TensionOverview
The Elastic Volume-Weighted Student-T Tension Bands indicator dynamically adapts to market conditions using an advanced statistical model based on the Student-T distribution. Unlike traditional Bollinger Bands or Keltner Channels, this indicator leverages elastic volume-weighted averaging to compute real-time dispersion and location parameters, making it highly responsive to volatility changes while maintaining robustness against price fluctuations.
This methodology is inspired by incremental calculation techniques for weighted mean and variance, as outlined in the paper by Tony Finch:
📄 "Incremental Calculation of Weighted Mean and Variance" .
Key Features
✅ Adaptive Volatility Estimation – Uses an exponentially weighted Student-T model to dynamically adjust band width.
✅ Volume-Weighted Mean & Dispersion – Incorporates real-time volume weighting, ensuring a more accurate representation of market sentiment.
✅ High-Timeframe Volume Normalization – Provides an option to smooth volume impact by referencing a higher timeframe’s cumulative volume, reducing noise from high-variability bars.
✅ Customizable Tension Parameters – Configurable standard deviation multipliers (σ) allow for fine-tuned volatility sensitivity.
✅ %B-Like Oscillator for Relative Price Positioning – The main indicator is in form of a dedicated oscillator pane that normalizes price position within the sigma ranges, helping identify overbought/oversold conditions and potential momentum shifts.
✅ Robust Statistical Foundation – Utilizes kurtosis-based degree-of-freedom estimation, enhancing responsiveness across different market conditions.
How It Works
Volume-Weighted Elastic Mean (eμ) – Computes a dynamic mean price using an elastic weighted moving average approach, influenced by trade volume, if not volume detected in series, study takes true range as replacement.
Dispersion (eσ) via Student-T Distribution – Instead of assuming a fixed normal distribution, the bands adapt to heavy-tailed distributions using kurtosis-driven degrees of freedom.
Incremental Calculation of Variance – The indicator applies Tony Finch’s incremental method for computing weighted variance instead of arithmetic sum's of fixed bar window or arrays, improving efficiency and numerical stability.
Tension Calculation – There are 2 dispersion custom "zones" that are computed based on the weighted mean and dynamically adjusted standard student-t deviation.
%B-Like Oscillator Calculation – The oscillator normalizes the price within the band structure, with values between 0 and 1:
* 0.00 → Price is at the lower band (-2σ).
* 0.50 → Price is at the volume-weighted mean (eμ).
* 1.00 → Price is at the upper band (+2σ).
* Readings above 1.00 or below 0.00 suggest extreme movements or possible breakouts.
Recommended Usage
For scalping in lower timeframes, it is recommended to use the fixed α Decay Factor, it is in raw format for better control, but you can easily make a like of transformation to N-bar size window like in EMA-1 bar dividing 2 / decayFactor or like an RMA dividing 1 / decayFactor.
The HTF selector catch quite well Higher Time Frame analysis, for example using a Daily chart and using as HTF the 200-day timeframe, weekly or monthly.
Suitable for trend confirmation, breakout detection, and mean reversion plays.
The %B-like oscillator helps gauge momentum strength and detect divergences in price action if user prefer a clean chart without bands, this thanks to pineScript v6 force overlay feature.
Ideal for markets with volume-driven momentum shifts (e.g., futures, forex, crypto).
Customization Parameters
Fixed α Decay Factor – Controls the rate of volume weighting influence for an approximation EWMA approach instead of using sum of series or arrays, making the code lightweight & computing fast O(1).
HTF Volume Smoothing – Instead of a fixed denominator for computing α , a volume sum of the last 2 higher timeframe closed candles are used as denominator for our α weight factor. This is useful to review mayor trends like in daily, weekly, monthly.
Tension Multipliers (±σ) – Adjusts sensitivity to dispersion sigma parameter (volatility).
Oscillator Zone Fills – Visual cues for price positioning within the cloud range.
Posible Interpretations
As market within indicators relay on each individual edge, this are just some key ideas to glimpse how the indicator could be interpreted by the user:
📌 Price inside bands – Market is considered somehow "stable"; price is like resting from tension or "charging batteries" for volume spike moves.
📌 Price breaking outer bands – Potential breakout or extreme movement; watch for reversals or continuation from strong moves. Market is already in tension or generating it.
📌 Narrowing Bands – Decreasing volatility; expect contraction before expansion.
📌 Widening Bands – Increased volatility; prepare for high probability pull-back moves, specially to the center location of the bands (the mean) or the other side of them.
📌 Oscillator is just the interpretation of the price normalized across the Student-T distribution fitting "curve" using the location parameter, our Elastic Volume weighted mean (eμ) fixed at 0.5 value.
Final Thoughts
The Elastic Volume-Weighted Student-T Tension indicator provides a powerful, volume-sensitive alternative to traditional volatility bands. By integrating real-time volume analysis with an adaptive statistical model, incremental variance computation, in a relative price oscillator that can be overlayed in the chart as bands, it offers traders an edge in identifying momentum shifts, trend strength, and breakout potential. Think of the distribution as a relative "tension" rubber band in which price never leave so far alone.
DISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The following indicator was made for NON LUCRATIVE ACTIVITIES and must remain as is, following TradingView's regulations. Use of indicator and their code are published for work and knowledge sharing. All access granted over it, their use, copy or re-use should mention authorship(s) and origin(s).
WARNING NOTICE!
THE INCLUDED FUNCTION MUST BE CONSIDERED FOR TESTING. The models included in the indicator have been taken from open sources on the web and some of them has been modified by the author, problems could occur at diverse data sceneries, compiler version, or any other externality.
Mswing HommaThe Mswing is a momentum oscillator that calculates the rate of price change over 20 and 50 periods (days/weeks). Apart from quantifying momentum, it can be used for assessing relative strength, sectoral rotation & entry/exit signals.
Quantifying Momentum Strength
The Mswing's relationship with its EMA (e.g., 5-period or 9-period) is used for momentum analysis:
• M Swing >0 and Above EMA: Momentum is positive and accelerating (ideal for entries).
• M Swing >0 and Below EMA: Momentum is positive but decelerating (caution).
• M Swing <0 and Above EMA: Momentum is negative but improving (watch for reversals).
• M Swing <0 and Below EMA: Momentum is negative and worsening (exit or avoid).
Relative Strength Scanning (M Score)
Sort stocks by their M Swing using TradingView’s Pine scanner.
Compare the Mswing scores of indices/sectors to allocate capital to stronger groups (e.g., renewables vs. traditional energy).
Stocks with strong Mswing scores tend to outperform during bullish phases, while weak ones collapse faster in downtrends.
Entry and Exit Signals
Entry: Buy when Mswing crosses above 0 + price breaks key moving averages (50-day SMA). Use Mswing >0 to confirm valid breakouts. Buy dips when Mswing holds above EMA during retracements.
Exit: Mswing can be used for exiting a stock in 2 ways:
• Sell in Strength: Mswing >4 (overbought).
• Sell in Weakness: Mswing <0 + price below 50-day SMA.
Multi-Timeframe Analysis
• Daily: For swing trades.
• Weekly: For trend confirmation.
• Monthly: For long-term portfolio adjustments.
Zones Family TraderDescription in English:
This indicator is designed to automatically detect and draw support and resistance zones on your chart. It identifies key market levels based on the All-Time High (ATH) of the last 200 candles in the M15 timeframe, generating precise zones to improve your decision-making.
🔹 Features:
✅ Automatic ATH detection over the last 200 candles
✅ Semi-transparent zones for better visualization
✅ 3-hour forward projection of zones to anticipate price movements
✅ Predefined horizontal lines (12.5 and 50 points apart) for structured analysis
✅ Fixed levels once drawn to maintain chart clarity
🚀 Why use this indicator?
Removes subjectivity by displaying clear price reaction zones
Helps traders quickly identify market structure
Ideal for intraday traders and scalpers looking for precise entries
Rolling Pivot PointsThe "Rolling Pivot Points" indicator, built in Pine Script (version 6) for TradingView, overlays dynamic pivot levels on a price chart. It calculates a 24-hour lookback period (length = 1440 / (timeframe.in_seconds() / 60)) using the prior period’s high, low, and close to determine a Pivot Point (vPP) and three resistance (vR1, vR2, vR3) and support (vS1, vS2, vS3) levels. Plotted lines include vPP (yellow), vR1 (red), and vS1 (blue) in a cross style, with a customizable reset time (default: 8 AM) to refresh levels daily.
The indicator updates at the specified resetTime (minute = 0), otherwise retaining prior levels, making it ideal for intraday traders. The averageDays input (default: 5) is present but unclear in function. Suited for identifying key price zones, it adapts across timeframes, offering a concise, color-coded tool for technical analysis on TradingView.
Reversal Precision Index Overview
The Reversal Precision Index (RPI) is designed to assist traders in identifying potential reversal zones and tracking market trends. This overlay indicator combines a set of dynamic price channels with a customizable trend-following band, offering a robust framework for spotting key turning points and monitoring price action. Ideal for traders seeking to enhance their decision-making process, RPI is versatile across various timeframes and asset types.
Key Features
Dynamic Price Channels: Visualizes multiple support and resistance levels based on a weighted average of price data, helping you identify areas where price reversals are likely to occur.
Trend-Following Band: Includes an adjustable band that follows price trends, providing insights into the overall market direction and potential breakout zones.
Customizable Alerts: Notifies you when price crosses key levels, allowing you to react promptly to significant market movements.
Price Labels: Displays current levels of the price channels on the chart, aiding in quick reference and analysis (optional).
Interpreting the Indicator
Reversal Zones: Look for price reactions near the channel levels, which often act as high-probability reversal points. These zones can signal potential entry or exit opportunities.
Trend Direction: The trend band provides a smoothed view of market direction. Use its position relative to price to gauge bullish or bearish momentum.
Price and Volume Breakout - Jemmy TradeThe "Price and Volume Breakout" indicator is designed to identify potential breakout opportunities by analyzing both price and volume trends. It uses a combination of historical price highs, volume peaks, and a customizable Simple Moving Average (SMA) to signal bullish breakouts. When the price exceeds the highest price of the defined breakout period and is supported by high volume, the indicator triggers visual alerts on the chart. These include dotted lines, labels, and boxes highlighting accumulation zones, along with dynamically calculated stop loss and take profit levels.
Key Features:
• Breakout Detection: Compares the current closing price to the highest price and volume over specified periods to signal a breakout.
• Customizable Stop Loss Options: Offers three methods for setting stop loss levels:
o Below SMA: Positions stop loss a user-defined percentage below the SMA.
o Lowest Low: Uses the lowest low over a specific look-back period.
o Range Average: Calculates an average based on the previous price range.
• Dynamic Take Profit Calculation: Automatically computes take profit levels based on the defined risk-to-reward ratio.
• Visual Chart Elements: Draws breakout lines, stop loss and take profit indicators, labels (e.g., "🚀 Breakout Buy", "🔴 Stop Loss", "🟢 Take Profit"), and boxes marking accumulation zones for easy visualization.
• Alert Conditions: Includes alert functionality to notify traders when breakout conditions are met, enabling timely trading decisions.
How to Use:
1. Customization: Adjust settings such as the breakout periods for price and volume, the length of the SMA, stop loss options, and the risk-to-reward ratio to fit your trading strategy.
2. Signal Identification: When the price exceeds the highest value from the previous period, accompanied by high volume and confirmation from the SMA, the indicator displays a "Breakout Buy" signal.
3. Risk Management: The indicator calculates appropriate stop loss and take profit levels automatically based on your selected parameters, ensuring a balanced risk/reward setup.
4. Alerts: Utilize the built-in alert conditions to receive notifications whenever the breakout criteria are satisfied, helping you act promptly.
PLEASE USE IT AS PER YOUR OWN RISK MANAGEMENT STRATEGIES.
Keywords:
#Breakout #Trading #VolumeAnalysis #TechnicalAnalysis #PriceAction #RiskManagement #TrendFollowing #TradingSignals #PriceBreakout #SmartTrading #JemmyTrade
Lowess Channel + (RSI) [ChartPrime]The Lowess Channel + (RSI) indicator applies the LOWESS (Locally Weighted Scatterplot Smoothing) algorithm to filter price fluctuations and construct a dynamic channel. LOWESS is a non-parametric regression method that smooths noisy data by fitting weighted linear regressions at localized segments. This technique is widely used in statistical analysis to reveal trends while preserving data structure.
In this indicator, the LOWESS algorithm is used to create a central trend line and deviation-based bands. The midline changes color based on trend direction, and diamonds are plotted when a trend shift occurs. Additionally, an RSI gauge is positioned at the end of the channel to display the current RSI level in relation to the price bands.
lowess_smooth(src, length, bandwidth) =>
sum_weights = 0.0
sum_weighted_y = 0.0
sum_weighted_xy = 0.0
sum_weighted_x2 = 0.0
sum_weighted_x = 0.0
for i = 0 to length - 1
x = float(i)
weight = math.exp(-0.5 * (x / bandwidth) * (x / bandwidth))
y = nz(src , 0)
sum_weights := sum_weights + weight
sum_weighted_x := sum_weighted_x + weight * x
sum_weighted_y := sum_weighted_y + weight * y
sum_weighted_xy := sum_weighted_xy + weight * x * y
sum_weighted_x2 := sum_weighted_x2 + weight * x * x
mean_x = sum_weighted_x / sum_weights
mean_y = sum_weighted_y / sum_weights
beta = (sum_weighted_xy - mean_x * mean_y * sum_weights) / (sum_weighted_x2 - mean_x * mean_x * sum_weights)
alpha = mean_y - beta * mean_x
alpha + beta * float(length / 2) // Centered smoothing
⯁ KEY FEATURES
LOWESS Price Filtering – Smooths price fluctuations to reveal the underlying trend with minimal lag.
Dynamic Trend Coloring – The midline changes color based on trend direction (e.g., bullish or bearish).
Trend Shift Diamonds – Marks points where the midline color changes, indicating a possible trend shift.
Deviation-Based Bands – Expands above and below the midline using ATR-based multipliers for volatility tracking.
RSI Gauge Display – A vertical gauge at the right side of the chart shows the current RSI level relative to the price channel.
Fully Customizable – Users can adjust LOWESS length, band width, colors, and enable or disable the RSI gauge and adjust RSIlength.
⯁ HOW TO USE
Use the LOWESS midline as a trend filter —bullish when green, bearish when purple.
Watch for trend shift diamonds as potential entry or exit signals.
Utilize the price bands to gauge overbought and oversold zones based on volatility.
Monitor the RSI gauge to confirm trend strength—high RSI near upper bands suggests overbought conditions, while low RSI near lower bands indicates oversold conditions.
⯁ CONCLUSION
The Lowess Channel + (RSI) indicator offers a powerful way to analyze market trends by applying a statistically robust smoothing algorithm. Unlike traditional moving averages, LOWESS filtering provides a flexible, responsive trendline that adapts to price movements. The integrated RSI gauge enhances decision-making by displaying momentum conditions alongside trend dynamics. Whether used for trend-following or mean reversion strategies, this indicator provides traders with a well-rounded perspective on market behavior.
Custom Volatility Spike DetectorOverview
This custom indicator combines Bollinger Bands (standard deviation) and percentile analysis to statistically detect significant volatility spikes.
When a spike occurs, the background color of the corresponding bar automatically changes, allowing for instant recognition of market turbulence. Additionally, it can be used to draw support and resistance lines, improving entry and exit precision.
Features
✅ High-Precision Spike DetectionUtilizes Bollinger Bands (standard deviation) × percentile analysis to identify only reliable volatility spikes.
✅ Clear Visual AlertsWhen a spike occurs, the background color of the bar changes automatically!It doesn’t clutter the chart, allowing intuitive recognition of anomalies.
✅ Volume Filtering IncludedCuts out noise during low-volume periods, providing reliable signals.
✅ Simple DesignEliminates unnecessary labels and drawings, keeping the chart clean.
How the Indicator Works
1️⃣ Statistical AnalysisCalculates volatility over a specified period using both "standard deviation-based" and "percentile-based" methods to detect anomalies.
2️⃣ Volume FilteringRecognizes a spike only when the current volume exceeds the average or recent peak.
3️⃣ Auto-HighlightingWhen a valid spike occurs, the bar's background color changes automatically, enhancing visibility.
Use Cases
🔹 Identify Market Reversal PointsDetects sharp increases in volatility, spotting potential breakouts and trend reversals.
🔹 Enhance Risk ManagementQuickly recognizes market turbulence, helping to adjust positions and set stop losses.
🔹 Complementary Technical AnalysisCan be combined with other indicators to develop more precise trading strategies.
🔹 Support and Resistance Line AssistanceUses detected spikes as a reference to identify key price levels (support & resistance).
What Makes This Indicator Unique?
🔸 Incorporates a unique volume filter and algorithm in addition to standard volatility analysis, achieving high precision and reliability!🔸 Visually intuitive and capable of responding to market turbulence in real time!
Disclaimer
This indicator does not provide buy/sell signals but serves as a market analysis aid.
It is recommended to validate its effectiveness and use it alongside other analytical methods before applying it.
Use of this indicator is at the user's own risk.
Credit
This script is originally developed by PakunFX and is not a copy of any other indicator.
Summary
This volatility spike detection indicator visually captures market turbulence and helps improve trading accuracy.
🔹 Detect volatility spikes effectively!🔹 Remove noise with volume filtering!🔹 Intuitive and easy-to-use design!
Logarithmic Regression Channel-Trend [BigBeluga]
This indicator utilizes logarithmic regression to track price trends and identify overbought and oversold conditions within a trend. It provides traders with a dynamic channel based on logarithmic regression, offering insights into trend strength and potential reversal zones.
🔵Key Features:
Logarithmic Regression Trend Tracking: Uses log regression to model price trends and determine trend direction dynamically.
f_log_regression(src, length) =>
float sumX = 0.0
float sumY = 0.0
float sumXSqr = 0.0
float sumXY = 0.0
for i = 0 to length - 1
val = math.log(src )
per = i + 1.0
sumX += per
sumY += val
sumXSqr += per * per
sumXY += val * per
slope = (length * sumXY - sumX * sumY) / (length * sumXSqr - sumX * sumX)
average = sumY / length
intercept = average - slope * sumX / length + slope
Regression-Based Channel: Plots a log regression channel around the price to highlight overbought and oversold conditions.
Adaptive Trend Colors: The color of the regression trend adjusts dynamically based on price movement.
Trend Shift Signals: Marks trend reversals when the log regression line cross the log regression line 3 bars back.
Dashboard for Key Insights: Displays:
- The regression slope (multiplied by 100 for better scale).
- The direction of the regression channel.
- The trend status of the logarithmic regression band.
🔵Usage:
Trend Identification: Observe the regression slope and channel direction to determine bullish or bearish trends.
Overbought/Oversold Conditions: Use the channel boundaries to spot potential reversal zones when price deviates significantly.
Breakout & Continuation Signals: Price breaking outside the channel may indicate strong trend continuation or exhaustion.
Confirmation with Other Indicators: Combine with volume or momentum indicators to strengthen trend confirmation.
Customizable Display: Users can modify the lookback period, channel width, midline visibility, and color preferences.
Logarithmic Regression Channel-Trend is an essential tool for traders who want a dynamic, regression-based approach to market trends while monitoring potential price extremes.
NIFTY VWAP DistanceNIFTY Futures VWAP Distance Indicator
Track price deviation from Volume-Weighted Average Price in real-time
📈 Key Features:
Measures absolute (points) and percentage distance from VWAP
Daily session reset aligned with NSE trading hours
Dual-axis visualization with clear zero reference line
Real-time data table display for instant analysis
Typical price calculation: (H+L+C)/3 formula
Built-in safeguards against division errors
🎯 Ideal For:
Intraday traders monitoring mean reversion opportunities
Algorithmic traders needing VWAP deviation metrics
Swing traders identifying overextended price moves
Market profile analysts studying auction theory
📊 How to Use:
Apply to NIFTY Futures chart (1m-1h timeframes recommended)
Blue line = Points above/below VWAP
Red line = Percentage deviation
Positive values = Price > VWAP (bullish territory)
Negative values = Price < VWAP (bearish territory)
💡 Pro Tips:
Combine with volume profile for confirmation
Watch for >1% deviations for potential reversals
Use divergence patterns for early trend change signals
Works best with raw futures data (not continuous contracts)
🔧 Technical Specs:
Pine Script v5+
No repainting
Low latency calculations
Mobile-friendly display
"Know when price strays too far from fair value"
Rolling HH with Future ProjectionHighest High line of last X bars
Plus a deferred line which shifts the first one by factor Y
Smart MA CrossoverThe Smart MA Crossover indicator is a trend-following tool designed to help traders identify high-probability buy and sell signals based on a dynamic moving average and volume confirmation.
This indicator allows traders to customize the moving average type (SMA, EMA, HMA, WMA, VWMA, SMMA, or VWAP) while incorporating an ATR-based filter for better signal clarity.
How It Works
The script analyzes price movements in relation to a selected moving average and volume conditions to generate trend-based trade signals:
🟢 Buy Signal:
- Price is trading above the moving average for at least two bars.
- A sudden upward momentum is detected (price > open * 1.005).
- Volume is higher than the 50-period SMA of volume.
- The price was trading below the moving average three bars ago.
🔴 Sell Signal:
- Price is trading below the moving average for at least two bars.
- A sudden downward movement is detected (price < open * 0.995).
- Volume is higher than the 50-period SMA of volume.
- The price was trading above the moving average three bars ago.
- When these conditions are met, a label appears on the chart, marking the potential trade signal.
Key Features
- Customizable Moving Averages – Choose between SMA, EMA, HMA, WMA, VWMA, SMMA, or VWAP.
- Dynamic Trend Detection – Moving average color changes based on trend direction.
- Volume Confirmation – Avoid false signals by filtering trades using SMA-based volume analysis.
- ATR-Based Signal Placement – Labels are positioned dynamically based on ATR values to improve visibility.
- Background Trend Highlighting – The background changes color depending on whether price is above (green) or below (red) the moving average.
- Alerts for Buy & Sell Signals – Get real-time notifications when a trade signal is generated.
How to Use
- This indicator is best suited for trend-following strategies and works across different markets, including stocks, forex, and crypto.
- It can be used on multiple timeframes, but traders should combine it with additional analysis to refine trade decisions.
- ATR-based signal placement ensures that buy/sell labels do not clutter the chart.
Important Notes
- This indicator does not predict future price movements—it is a trend-based tool meant to assist with trade decisions.
- No financial advice – Always use risk management when trading.
- TradingView users who do not read Pine Script can still fully utilize this script thanks to clear labels and alerts.
Gold Price LevelsThis indicator identifies and displays key price levels for gold trading. It highlights important psychological and technical price points that often act as support and resistance levels.
Features
Automatically identifies and displays key price levels ending in 92, 84, 78, 55, 42, 27, and 00
Special emphasis on critical levels ending in 68, 32, and 10 with increased line width
Color-coded visualization: green for levels above current price, red for levels below
Customizable line style, width, and label visibility
Automatically adjusts to different price ranges (works with any gold price)
How to Use
This indicator helps gold traders identify potential support and resistance zones. Watch for price reactions at these levels for potential trade entries, exits, or stop placement. The thicker lines (68, 32, 10) often represent more significant price levels where stronger reactions may occur.
Perfect for both day traders and swing traders looking to optimize their gold trading strategy with key price levels.
Elliptic bands
Why Elliptic?
Unlike traditional indicators (e.g., Bollinger Bands with constant standard deviation multiples), the elliptic model introduces a cyclical, non-linear variation in band width. This reflects the idea that price movements often follow rhythmic patterns, widening and narrowing in a predictable yet dynamic way, akin to natural market cycles.
Buy: When the price enters from below (green triangle).
Sell: When the price enters from above (red triangle).
Inputs
MA Length: 50 (This is the period for the central Simple Moving Average (SMA).)
Cycle Period: 50 (This is the elliptic cycle length.)
Volatility Multiplier: 2.0 (This value scales the band width.)
Mathematical Foundation
The indicator is based on the ellipse equation. The basic formula is:
Ellipse Equation:
(x^2) / (a^2) + (y^2) / (b^2) = 1
Solving for y:
y = b * sqrt(1 - (x^2) / (a^2))
Parameters Explained:
a: Set to 1 (normalized).
x: Varies from -1 to 1 over the period.
b: Calculated as:
ta.stdev(close, MA Length) * Volatility Multiplier
(This represents the standard deviation of the close prices over the MA period, scaled by the volatility multiplier.)
y (offset): Represents the band distance from the moving average, forming the elliptic cycle.
Behavior
Bands:
The bands are narrow at the cycle edges (when the offset is 0) and become widest at the midpoint (when the offset equals b).
Trend:
The central moving average (MA) shows the overall trend direction, while the bands adjust according to the volatility.
Signals:
Standard buy and sell signals are generated when the price interacts with the bands.
Practical Use
Trend Identification:
If the price is above the MA, it indicates an uptrend; if below, a downtrend.
Support and Resistance:
The elliptic bands act as dynamic support and resistance levels.
Narrowing bands may signal potential trend reversals.
Breakouts:
VWAP with ADX Buy/Sell Signals and 50 MA BackgroundThis Pine Script combines several technical indicators to create a comprehensive chart with buy and sell signals based on the ADX and VWAP, as well as background color changes depending on the price relative to the 50-period simple moving average (SMA). Here's a breakdown of what each part of the code does:
1. VWAP Settings
Anchor Period: You can select different periods such as "Session", "Week", "Month", etc. to define the anchor period for the VWAP.
Source: The source for VWAP is set to the typical price (hlc3).
Offset: Allows for shifting the VWAP by a specified amount.
2. ADX Settings
ADX Length: The period used to calculate the ADX.
ADX Smoothing: Used to smooth the ADX for better clarity.
ADX Threshold: Used to filter out weak trends (i.e., signals when ADX > 20).
3. ADX and VWAP Calculation
The ADX values are calculated using ta.dmi(), which returns the +DI, -DI, and ADX lines.
VWAP is calculated using ta.vwap(), based on the selected price source.
4. Buy/Sell Conditions
Buy Signal: A buy signal is generated when:
The +DI crosses above the -DI (indicating an uptrend).
The ADX is above 20 (indicating a strong trend).
The closing price is above the VWAP (indicating bullish market sentiment).
Sell Signal: A sell signal occurs when:
The -DI crosses above the +DI (indicating a downtrend).
The ADX is above 20 (indicating a strong trend).
The closing price is below the VWAP (indicating bearish market sentiment).
5. VWAP Bands
The standard deviation of the price is calculated using ta.stdev(), and the bands are plotted at multiples of the standard deviation (1, 2, and 3).
These bands are used to highlight possible overbought or oversold conditions.
6. 50-period SMA and Background Color
The script calculates a 50-period Simple Moving Average (SMA).
The background color is then changed based on whether the price is above or below the 50-period SMA. If the price is above the SMA, the background is green (bullish), and if it’s below, it’s red (bearish).
7. Plots
The script includes plots for the VWAP line, the ADX and DI lines (optional), and the upper and lower bands.
The buy and sell signals are plotted as shapes with text labels ("BUY" and "SELL") that appear below or above the price bars.
Final Notes:
Band Plots: Three levels of bands (green, olive, teal) are plotted using standard deviation multipliers (1, 2, and 3 times the standard deviation).
Background Color: The background color changes depending on whether the price is above or below the 50 SMA, giving a visual cue for bullish or bearish market conditions.
This indicator aims to offer a multi-faceted view of the market with trend-following signals (via ADX), VWAP for intraday support/resistance, and background coloring to indicate the current trend strength based on the 50 SMA.
DenP Ichimoku Interpreter (DII)A simple indicator using Ishimoku as a basis, giving entry and exit signals.
Components of the Ichimoku Cloud
The Ichimoku system consists of multiple lines that help traders understand market trends, momentum, and potential reversals.
1. Tenkan-Sen (Conversion Line) - Blue
Formula: (Highest High + Lowest Low) / 2 over the last 9 periods (default).
Purpose: Measures short-term trend direction.
Interpretation:
Upward movement: Indicates bullish momentum.
Downward movement: Indicates bearish momentum.
Flat line: Indicates consolidation.
2. Kijun-Sen (Base Line) - Red
Formula: (Highest High + Lowest Low) / 2 over the last 26 periods (default).
Purpose: Represents medium-term trend.
Interpretation:
Price above Kijun-Sen: Bullish signal.
Price below Kijun-Sen: Bearish signal.
Flat Kijun-Sen: Market in consolidation.
3. Senkou Span A (Leading Span A) - Light Green
Formula: (Tenkan-Sen + Kijun-Sen) / 2, plotted 26 periods ahead.
Purpose: Forms one of the Ichimoku Cloud boundaries.
Interpretation:
If Senkou Span A is rising, the market is bullish.
If Senkou Span A is falling, the market is bearish.
4. Senkou Span B (Leading Span B) - Light Red
Formula: (Highest High + Lowest Low) / 2 over the last 52 periods, plotted 26 periods ahead.
Purpose: Forms the second boundary of the Ichimoku Cloud.
Interpretation:
If price is above the cloud, the market is in a strong uptrend.
If price is below the cloud, the market is in a strong downtrend.
If price is inside the cloud, the market is consolidating.
5. Kumo (Cloud)
The area between Senkou Span A and Senkou Span B is shaded.
Green Cloud (Span A above Span B): Bullish trend.
Red Cloud (Span B above Span A): Bearish trend.
The thickness of the cloud represents market volatility.
6. Chikou Span (Lagging Line) - Green
Formula: Current closing price plotted 26 periods back.
Purpose: Confirms trend direction.
Interpretation:
Chikou Span above price 26 periods ago: Bullish.
Chikou Span below price 26 periods ago: Bearish.
Buy and Sell Conditions
The indicator generates buy and sell signals based on Ichimoku components.
1. Kijun Cross (Medium-Term Trend)
Buy Signal: When the closing price crosses above the Kijun-Sen (red line).
Sell Signal: When the closing price crosses below the Kijun-Sen.
2. Cloud Breakout (Senkou Span Cross)
Buy Signal:
When Senkou Span A is above Senkou Span B, and the price crosses above the cloud.
Indicates a strong uptrend.
Sell Signal:
When Senkou Span B is above Senkou Span A, and the price crosses below the cloud.
Indicates a strong downtrend.
3. Chikou Span Confirmation (Momentum Confirmation)
Buy Signal:
If Chikou Span (green) crosses above past price action, it confirms a bullish trend.
Used to validate Kijun and Cloud Buy signals.
Sell Signal:
If Chikou Span crosses below past price action, it confirms a bearish trend.
Visual Signals
The indicator plots triangles on the chart to indicate buy and sell signals:
Kijun Buy Signal: Upward triangle (green).
Kijun Sell Signal: Downward triangle (red).
Cloud Buy Signal: Upward triangle (green) near the cloud.
Cloud Sell Signal: Downward triangle (red) near the cloud.
Chikou Confirmation Buy: Upward triangle (green, confirming previous signals).
Chikou Confirmation Sell: Downward triangle (red, confirming previous signals).
Additional Features
Customizable Colors & Settings: Users can adjust colors, time periods, and display settings.
On-Chart Table: Displays current trend interpretations for easy reference.
How to Use the Indicator?
Check the Cloud Position:
Price above the cloud = bullish.
Price below the cloud = bearish.
Price inside the cloud = consolidation.
Look for Kijun Crosses:
Buy when price crosses above Kijun-Sen.
Sell when price crosses below Kijun-Sen.
Confirm with Chikou Span:
If Chikou Span supports the buy/sell signal, it's more reliable.
Use Cloud Breakouts for Trend Reversals:
If price moves from below to above the cloud = strong buy.
If price moves from above to below the cloud = strong sell.
Stop/Take BoundsThe Stop/Take Bounds indicator is tool for setting dynamic stop-loss and take-profit levels based on percentage distance from the price. Unlike traditional ATR-based methods, this indicator allows traders to set stop levels as a fixed percentage of the price and define the take-profit multiple.
- Stop-loss distanceis determined as a percentage of the current price (e.g., 1% means the stop-loss is always 1% away from the price).
- Take-profit distance is calculated by multiplying the stop-loss distance by a user-defined multiplier (e.g., a multiplier of 2 places the take-profit level twice as far as the stop-loss).
- The indicator plots red lines for stop-loss levels and green lines for take-profit levels, making it easy to visualize risk-to-reward scenarios.
How to Use
1. Set Stop-Loss Distance (%) – Define how far the stop-loss should be from the price.
2. Set Take-Profit Multiplier – Choose how many times larger the take-profit should be compared to the stop-loss.
3. Apply to Long and Short Trades – The indicator automatically plots levels for both long and short positions.
4. Use in Manual or Algorithmic Trading – Ideal for discretionary traders as well as for integration into algorithmic strategies.
Use Cases
- Risk Management – Helps maintain disciplined risk-to-reward ratios.
- Strategy Development – Can be used in the creation of algorithmic trading systems.
- Trailing Stop Simulation – Can act as a trailing stop mechanism when used dynamically.
This indicator is a great addition to any trading strategy!
Support & Resistance + EMA + Swing SL (3 Min)### **📌 Brief Description of the Script**
This **Pine Script indicator** for TradingView displays **Support & Resistance levels, EMAs (21 & 26), and Swing High/Low-based Stop-Loss (SL) points** on a **3-minute timeframe**.
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### **🔹 Key Features & Functionality**
1️⃣ **🟥 Support & Resistance Calculation:**
- Finds the **highest & lowest price over the last 50 candles**
- Plots **Resistance (Red) & Support (Green) levels**
2️⃣ **📈 EMA (Exponential Moving Averages):**
- **21 EMA (Blue)** and **26 EMA (Orange)** for trend direction
- Helps in identifying bullish or bearish momentum
3️⃣ **📊 Swing High & Swing Low Detection:**
- Identifies **Swing Highs (Higher than last 5 candles) as SL for Short trades**
- Identifies **Swing Lows (Lower than last 5 candles) as SL for Long trades**
- Plots these levels as **Purple (Swing High SL) & Yellow (Swing Low SL) dotted lines**
4️⃣ **📌 Labels on Swing Points:**
- **"HH SL"** is placed on Swing Highs
- **"LL SL"** is placed on Swing Lows
5️⃣ **⚡ Breakout Detection:**
- Detects if **price crosses above Resistance** (Bullish Breakout)
- Detects if **price crosses below Support** (Bearish Breakout)
- Background color changes to **Green (Bullish)** or **Red (Bearish)**
6️⃣ **🚨 Alerts for Breakouts:**
- Sends alerts when **price breaks above Resistance or below Support**
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### **🎯 How to Use This Indicator?**
- **Trade with Trend:** Follow **EMA crossovers** and Support/Resistance levels
- **Set Stop-Loss:** Use **Swing High as SL for Shorts** & **Swing Low as SL for Longs**
- **Look for Breakouts:** Enter trades when price **crosses Resistance or Support**
This script is **ideal for scalping & intraday trading** in a **3-minute timeframe** 🚀🔥
Let me know if you need **any modifications or improvements!** 📊💹
Nebula Volatility and Compression Radar (TechnoBlooms)This dynamic indicator spots volatility compression and expansion zones, highlighting breakout opportunities with precision. Featuring vibrant Bollinger Bands, trend-colored candles and real-time signals, Nebula Volatility and Compression Radar (NVCR) is your radar for navigating price moves.
Key Features:-
1. Gradient Bollinger Bands - Visually stunning bands with gradient fills for clear price boundaries.
The gradient filling is coded simply so that even beginners can easily understand the concept. Trader can change the gradient color according to their preference.
fill(pupBB, pbaseBB,upBB,baseBB,top_color=color.rgb(238, 236, 94), bottom_color=color.new(chart.bg_color,100),title = "fill color", display =display.all,fillgaps = true,editable = false)
fill(pbaseBB, plowBB,baseBB,lowBB,top_color=color.new(chart.bg_color,100),bottom_color=color.rgb(230, 20, 30),title = "fill color", display =display.all,fillgaps = true,editable = false)
These two lines are used for giving gradient shades. You can change the colors as per your wish to give preferred color combination.
For Example:
Another Example:
2. Customizable Settings - Adjust Bollinger Bands, ATR and trend lengths to fit your trading styles.
3. Trend Insights - Candles turn green for uptrends, red for downtrends, and gray for neutral zones.
Nebula Volatility and Compression Radar create dynamic cloud like zones that illuminate trends with clarity.
Arbitrage Synthetic Spread Chart v2Powerful tool for analyzing market divergences and identifying arbitrage opportunities! It creates a synthetic spread chart between two assets, displaying it in a clear format and helping traders spot moments of maximum decorrelation.
How does it work?
The indicator takes the closing prices of two assets and calculates their difference (spread):
spread = price1 - price2
Then, it constructs a price channel based on the highest and lowest values of the spread over a given period:
-Upper boundary: The highest spread value over the period
- Lower boundary: The lowest spread value over the period
- Middle line: The average of the upper and lower boundaries
Additionally, the indicator calculates the **correlation** between the two assets, helping traders assess their relationship strength.
How to use it?
When the spread reaches the channel boundaries, it may indicate an abnormal divergence between the assets. This serves as a signal for arbitrage trading:
✅ At the upper boundary: Sell Asset 1 and buy Asset 2
✅ At the lower boundary: Buy Asset 1 and sell Asset 2
