Straddle Plot with VWAP and 20 EMA🧭 Description
This indicator is designed to analyze the behavior of combined option premiums in straddle strategies, using real-time option data. It visualizes both Call (CE) and Put (PE) option premiums of selected strike prices and combines them into a synthetic OHLC candle structure.
The goal is to help derivatives traders understand premium buildup, volatility expectations, and market sentiment without looking at individual option charts.
Unlike traditional price-based indicators, this tool focuses entirely on option data, combining:
The real-time premiums of Calls and Puts
A derived VWAP of the combined premiums (to assess mean deviation)
A 20-period EMA calculated on the synthetic straddle premium (for trend filtering)
🔍 How It Works
Users select an underlying symbol (e.g., NIFTY/BANKNIFTY) and up to 3 strike prices of the same expiry.
The script dynamically constructs the option symbols for CE and PE, fetches OHLC data using request.security(), and combines their data into a straddle representation.
A straddle candle is plotted using the summed OHLC of the CE and PE.
The script also computes:
- Combined CE close
- Combined PE close
- Straddle close
A VWAP line is calculated on the combined straddle close to assess mean reversion.
A 20-period EMA (approximated for daily trend) is applied to identify trend direction.
The indicator includes an interpretation model that compares total CE vs PE premium to highlight market bias:
Call premium > Put → bullish bias (Call Up)
Put premium > Call → bearish bias (Put Up)
Equal → neutral/sideways
📌 Use Case
This indicator is valuable for:
Traders using short straddles (who want to monitor decay or expansion)
Strangle/straddle breakout traders looking for premium expansion
Volatility traders assessing whether premiums are rising above VWAP/EMA
Identifying imbalance between CE and PE premiums intraday
📊 Visual Elements
Candlestick plot representing combined straddle OHLC
Line plots for CE, PE, and total straddle close
VWAP (purple) and Daily EMA (orange)
Real-time table showing:
- Selected strike prices
- Live VWAP & EMA
- Combined premiums
- CE/PE dominance ("Call Up", "Put Up", or "Same")
⚙️ Customization
Supports predefined underlyings or a custom symbol selector
Users can choose any expiry date and define strike prices
Table font size and screen layout are adjustable
Dropdown logic allows switching to any NSE-traded F&O symbol
📢 Disclaimer
This indicator is provided for educational purposes only. It does not constitute trading advice or a recommendation to buy/sell any financial instrument. Always consult your financial advisor before making trading decisions.
Volatilty
volatilityThis indicator indicates whether volatility is sufficient for trading. It works on time frames from 1 minute to 2 hours. The redder the indicator, the less volatility there is, and the greener the indicator, the more volatility there is.
RSI Volatility Suppression Zones [BigBeluga]RSI Volatility Suppression Zones is an advanced indicator that identifies periods of suppressed RSI volatility and visualizes these suppression zones on the main chart. It also highlights breakout dynamics, giving traders actionable insights into potential market momentum.
🔵 Key Features:
Detection of Suppression Zones:
Identifies periods where RSI volatility is suppressed and marks these zones on the main price chart.
Breakout Visualization:
When the price breaks above the suppression zone, the box turns aqua, and an upward label is drawn to indicate a bullish breakout.
If the price breaks below the zone, the box turns purple, and a downward label is drawn for a bearish breakout.
Breakouts accompanied by a "+" label represent strong moves caused by short-lived, tight zones, signaling significant momentum.
Wave Labels for Consolidation:
If the suppression zone remains unbroken, a "wave" label is displayed within the gray box, signifying continued price stability within the range.
Gradient Intensity Below RSI:
A gradient strip below the RSI line increases in intensity based on the duration of the suppressed RSI volatility period.
This visual aid helps traders gauge how extended the low volatility phase is.
🔵 Usage:
Identify Breakouts: Use color-coded boxes and labels to detect breakouts and their direction, confirming potential trend continuation or reversals.
Evaluate Market Momentum: Leverage "+" labels for strong breakout signals caused by short suppression phases, indicating significant market moves.
Monitor Price Consolidation: Observe gray boxes and wave labels to understand ongoing consolidation phases.
Analyze RSI Behavior: Utilize the gradient strip to measure the longevity of suppressed volatility phases and anticipate breakout potential.
RSI Volatility Suppression Zones provides a powerful visual representation of RSI volatility suppression, breakout signals, and price consolidation, making it a must-have tool for traders seeking to anticipate market movements effectively.
Advanced Momentum Scanner [QuantAlgo]The Advanced Momentum Scanner is a sophisticated technical indicator designed to identify market momentum and trend direction using multiple exponential moving averages (EMAs), momentum metrics, and adaptive visualization techniques. It is particularly valuable for those looking to identify trading and investing opportunities based on trend changes and momentum shifts across any market and timeframe.
🟢 Technical Foundation
The Advanced Momentum Scanner utilizes a multi-layered approach with four different EMA periods to identify market momentum and trend direction:
Ultra-Fast EMA for quick trend changes detection (default: 5)
Fast EMA for short-term trend analysis (default: 10)
Mid EMA for intermediate confirmation (default: 30)
Slow EMA for long-term trend identification (default: 100)
For momentum detection, the indicator implements a Rate of Change (RoC) calculation to measure price momentum over a specified period. It further enhances analysis by incorporating RSI readings for overbought/oversold conditions, volatility measurements through ATR, and optional volume confirmation. When these elements align, the indicator generates trading signals based on the selected sensitivity mode (Conservative, Balanced, or Aggressive).
🟢 Key Features & Signals
1. Multi-Period Trend Identification
The indicator combines multiple EMAs of different lengths to provide comprehensive trend analysis within the same timeframe, displaying the information through color-coded visual elements on the chart.
When an uptrend is detected, chart elements are colored with the bullish theme color (default: green/teal).
Similarly, when a downtrend is detected, chart elements are colored with the bearish theme color (default: red).
During neutral or indecisive periods, chart elements are colored with a neutral gray color, providing clear visual distinction between trending and non-trending market conditions.
This visualization provides immediate insights into underlying trend direction without requiring separate indicators, helping traders and investors quickly identify the market's current state.
2. Trend Strength Information Panel
The trend panel operates in three different sensitivity modes (Conservative, Aggressive, and Balanced), each affecting how the indicator processes and displays market information.
The Conservative mode prioritizes trend sustainability over frequency, showing only strong trend movements with high probability.
The Aggressive mode detects early trend changes, providing more frequent signals but potentially more false positives.
The Balanced mode offers a middle ground with moderate signal frequency and reliability.
Regardless of the selected mode, the panel displays:
Current trend direction (UPTREND, DOWNTREND, or NEUTRAL)
Trend strength percentage (0-100%)
Early detection signals when applicable
The active sensitivity mode
This comprehensive approach helps traders and investors:
→ Assess the strength of current market trends
→ Identify early potential trend changes before full confirmation
→ Make more informed trading and investing decisions based on trend context
3. Customizable Visualization Settings
This indicator offers extensive visual customization options to suit different trading styles and preferences:
Display options:
→ Fully customizable uptrend, downtrend, and neutral colors
→ Color-coded price bars showing trend direction
→ Dynamic gradient bands visualizing potential trend channels
→ Optional background coloring based on trend intensity
→ Adjustable transparency levels for all visual elements
These visualization settings can be fine-tuned through the indicator's interface, allowing traders and investors to create a personalized chart environment that emphasizes the most relevant information for their strategy.
The indicator also features a comprehensive alert system with notifications for:
New trend formations (uptrend, downtrend, neutral)
Early trend change signals
Momentum threshold crossovers
Other significant market conditions
Alerts can be customized and delivered through TradingView's notification system, making it easy to stay informed of important market developments even when you are away from the charts.
🟢 Practical Usage Tips
→ Trend Analysis and Interpretation: The indicator visualizes trend direction and strength directly on the chart through color-coding and the information panel, allowing traders and investors to immediately identify the current market context. This information helps in assessing the potential for continuation or reversal.
→ Signal Generation Strategies: The indicator generates potential trading signals based on trend direction, momentum confirmation, and selected sensitivity mode. Users can choose between Conservative (fewer but more reliable signals), Balanced (moderate approach), or Aggressive (more frequent but potentially less reliable signals).
→ Multi-Period Trend Assessment: Through its layered EMA approach, the indicator enables users to understand trend conditions across different lookback periods within the same timeframe. This helps in identifying the dominant trend and potential turning points.
🟢 Pro Tips
Adjust EMA periods based on your timeframe:
→ Lower values for shorter timeframes and more frequent signals
→ Higher values for higher timeframes and more reliable signals
Fine-tune sensitivity mode based on your trading style:
→ "Conservative" for position trading/long-term investing and fewer false signals
→ "Balanced" for swing trading/medium-term investing with moderate signal frequency
→ "Aggressive" for scalping/day trading and catching early trend changes
Look for confluence between components:
→ Strong trend strength percentage and direction in the information panel
→ Overall market context aligning with the expected direction
Use for multiple trading approaches:
→ Trend following during strong momentum periods
→ Counter-trend trading at band extremes during overextension
→ Early trend change detection with sensitivity adjustments
→ Stop loss placement using dynamic bands
Combine with:
→ Volume indicators for additional confirmation
→ Support/resistance analysis for strategic entry/exit points
→ Multiple timeframe analysis for broader market context
RSI-MACD Momentum Fusion Indicator(RMFI)📈 RSI-MACD Momentum Fusion Indicator (RMFI)
The RMFI combines the strengths of two RSI variants with a dynamically adaptive MACD module into a powerful momentum oscillator ranging from 0 to 100. The goal is to unify converging momentum information from different perspectives into a clear, weighted overall signal.
🔧 Core Features
RSI 1: Classic Wilder RSI, sensitive to short-term momentum.
RSI 2: Modified RSI based on normalized price movement ranges (Range Momentum).
MACD (3 Modes):
Standardized (min/max-based)
Fully adaptive (Z-score normalization)
50% adaptive (hybrid weighting of both approaches)
Dynamic MACD mode selection (optional): Automatic switching of MACD normalization based on volatility levels (ATR-based).
Signal Line: Smoothed average of all components to visualize momentum trends and crossovers.
🎯 Visualization
Clear separation of overbought (>70) and oversold (<30) zones with color highlighting.
Different colors based on the dynamic MACD mode – visually indicates how strongly the market adapts to volatility.
⚙️ Recommended Use
Ideal for trend following, divergence confirmation (with external divergence logic), and momentum reversals.
Particularly effective in volatile markets, as the MACD component adaptively responds to instability.
© champtrades
RISK ROTATION MATRIX ║ BullVision Overview:
Introducing the RISK ROTATION MATRIX – a sophisticated market analysis tool designed to consolidate multiple dimensions of financial data into a single, adaptive risk metric. This indicator standardizes inputs from liquidity, macroeconomic, crypto/commodities, and risk/volatility sources by converting them into z-scores that are then dynamically aggregated and smoothed for clarity. It presents a clear, visually engaging snapshot of current market conditions, empowering users to make more informed analytical decisions.
Key Features:
🔢 Multi-Group Z-Score Normalization
Each data stream is standardized by comparing current values with historical averages and standard deviations, resulting in z-scores that make diverse data comparable.
The indicator organizes these z-scores into distinct groups—liquidity conditions, macroeconomic factors, crypto/commodities trends, and risk/volatility metrics—allowing for a segmented yet cohesive market view.
📊 Dynamic Aggregation & Smoothing
The group-specific averages are combined into one composite score that is then smoothed using a flexible moving average.
With multiple options (such as SMA, EMA, ALMA, etc.), users can adjust the smoothing to filter out noise and capture underlying market signals without making any assumptions regarding future market behavior.
⚙️ Customizable Inputs & Flexibility
Users have the freedom to select which data feeds to include and set custom lookback periods for each group, tailoring the indicator to their analysis needs.
This modular design allows for adjustments that can reflect different market environments without implying any guarantee of future outcomes.
🎨 Advanced Visual Display & dynamic quadrant Design
The indicator features dynamic visual components including an Ehlers-inspired looping graph and quadrant overlays that adjust color based on the composite score’s current state.
The visual design transforms complex data into easily interpretable cues, enhancing the decision-making process.
📋 Integrated Risk Dashboard
A built-in dashboard provides a detailed breakdown of individual z-scores and group averages, offering an at-a-glance view of market liquidity, macro conditions, crypto/commodities dynamics, and risk/volatility.
This layered information is presented in a user-friendly table format, further aiding detailed market analysis.
How It Works:
Z-Score Calculation & Group Aggregation:
Each data point is normalized using its own historical baseline, ensuring that the indicator presents standardized, comparable values across various market dimensions. These normalized values are then grouped, and each group’s average contributes to the overall composite score.
Dynamic Smoothing & Signal Enhancement:
The composite score is processed through a dynamic moving average algorithm. This smoothing step helps in filtering out short-term fluctuations and highlights the persistent underlying trends observed in the current market data.
Graphical Feedback & Color Dynamics:
Visual elements such as color-coded gauges, looping graphs, and quadrant overlays provide clear, intuitive feedback on the indicator’s current reading—indicating various market states without any assumptions of or references to future performance.
Parameters Explained:
📌 Data Group Settings:
Enable or disable specific market data sources within liquidity, macroeconomic, crypto/commodities, and risk/volatility groups.
Adjust the lookback periods for each data input to capture more relevant historical context without implying guarantees on future behavior.
📌 Smoothing & Moving Average Controls:
Choose from a range of moving average types to control the responsiveness and clarity of the composite signal.
Adjust the parameters to find the ideal balance between noise reduction and signal responsiveness.
📌 Visualization & Dashboard Options:
Customize visual settings such as quadrant displays, looping graphs, candle coloring, and risk matrix tables.
These features ensure that the signal is both aesthetically pleasing and highly informative, catering to different user preferences.
Use Cases:
🚀 Swing & Trend Traders:
Use the aggregated composite score to gain insights into current market conditions, helping to identify robust trends and turning points.
⚡ Intraday & Systematic Traders:
Benefit from adjustable filtering and dynamic smoothing to quickly assess real-time market conditions in rapidly changing environments.
🔍 Market Analysts & Discretionary Strategists:
Leverage the detailed risk dashboard for deeper market analysis and to validate broader analytical frameworks.
Why It’s Worth Buying:
Investing in the Comprehensive Composite Z-Score Indicator provides traders and market analysts with a versatile, multi-dimensional tool that simplifies complex market data into an actionable and easy-to-understand format. Here’s what sets it apart:
Holistic Market Insight: The indicator brings together a diverse set of economic and market metrics into a single, composite measure, giving you a well-rounded view of current market conditions.
Customization: With extensive input options and adjustable smoothing parameters, you can tailor the tool to your specific analysis needs, ensuring that the indicator adapts to your trading style.
Enhanced Visuals: The state-of-the-art visual design not only makes the complex data clear at a glance but also adds an engaging element that aids in quick decision-making.
Robust Risk Assessment: By presenting a clear, data-driven risk matrix and dynamic color cues, this tool empowers you to better understand prevailing market risks without making assumptions about future performance.
Disclaimer:
Past performance is not indicative of future results. This tool uses historical data to provide a standardized view of current market conditions, but it does not and cannot predict future market behavior. Use it as one component of a comprehensive market analysis strategy, and always exercise due diligence and risk management in your trading decisions.
By delivering a deep, multifaceted insight into market dynamics, the Comprehensive Composite Z-Score Indicator offers a unique value proposition for traders seeking clarity, customization, and actionable risk assessment without making any promises or assumptions about future performance.
Intraday Uncertainty [PhenLabs]📊 Intraday Uncertainty
Version: PineScript™ v6
📌 Description
The Intraday Uncertainty indicator offers traders a visual representation of market certainty/uncertainty during trading sessions. By comparing each price bar’s range to the Average True Range (ATR), it provides an intuitive way to gauge market conviction through a color gradient system.
This tool helps traders identify periods of high certainty (potentially trending markets) versus high uncertainty (potentially choppy or volatile markets) without complex calculations or multiple indicators. The color-coded bars create an immediate visual cue to support decision-making in varying market conditions.
🚀 Points of Innovation
Automated range-to-ATR ratio calculation that adapts to changing market volatility
Dynamic color gradient system that visually distinguishes between certain and uncertain price action
Customizable gradient clamping to fine-tune sensitivity to market conditions
Integrated dashboard that provides clear interpretation guidance
Position-flexible legend that accommodates different chart layouts
Highly optimized for performance with minimal calculation overhead
🔧 Core Components
ATR Calculation: Measures market volatility using a configurable lookback period
Range-to-ATR Ratio: Compares current bar’s high-low range against average volatility
Gradient Mapping System: Converts numerical uncertainty values into an intuitive color scale
Dashboard Legend: Provides clear interpretation guidance with customizable positioning
🔥 Key Features
Bar Coloring: Instantly identifies market certainty levels through intuitive color gradients
Customizable ATR Period: Adjust sensitivity to historical volatility based on trading style
Gradient Clamping: Fine-tune the color sensitivity using the Range/ATR multiplier
Color Customization: Personalize the color scheme to match your chart aesthetics
Informative Dashboard: Quickly interpret color meanings with the optional on-chart legend
Flexible Display Options: Customize dashboard position and text size for your chart layout
🎨 Visualization
Color Gradient: Bars colored on a spectrum from green (high certainty) to red (high uncertainty)
Dashboard Legend: Optional on-chart guide explaining the color interpretation
Color Intensity: Stronger colors indicate more extreme certainty/uncertainty levels
At-a-glance Interpretation: Quickly identify market conviction without analyzing numbers
📖 Usage Guidelines
Calculation Settings
ATR Period
Default: 14
Range: 1+
Description: Controls the lookback period for ATR calculation. Lower values increase sensitivity to recent volatility, while higher values provide more stability.
Gradient Clamp (Range/ATR Multiplier)
Default: 2.0
Range: 0.1+
Description: Sets the maximum Range/ATR ratio for gradient scaling. Ranges above this value display the end color (high uncertainty).
Color Settings
Gradient Start Color (High Certainty)
Default: Green
Description: Color representing high market certainty (low Range/ATR ratio)
Gradient End Color (Low Certainty)
Default: Red
Description: Color representing low market certainty (high Range/ATR ratio)
Dashboard Settings
Show Dashboard Legend
Default: True
Description: Toggles the visibility of the on-chart interpretation guide
Dashboard Position
Options: top_right, top_left, bottom_right, bottom_left, middle_right, middle_left
Default: bottom_right
Description: Controls the placement of the dashboard on your chart
Dashboard Text Size
Options: tiny, small, normal, large, huge
Default: normal
Description: Adjusts the text size of the dashboard for readability
✅ Best Use Cases
Identifying potential trend shifts when certainty levels change dramatically
Confirming trend strength through consistent certainty levels
Detecting choppy/sideways markets with persistent high uncertainty
Filtering trading signals from other indicators based on certainty levels
Gauging market conviction behind price breakouts or pullbacks
Optimizing entry/exit timing based on certainty/uncertainty transitions
⚠️ Limitations
Does not predict future price direction, only measures current bar certainty
May provide false signals during news events or unexpected volatility spikes
Requires context within the broader market environment for optimal interpretation
Color interpretation is relative rather than absolute across different securities
ATR-based calculation means sensitivity varies across different timeframes
💡 What Makes This Unique
Simplicity: Single visual indicator that doesn’t require multiple technical tools
Adaptability: Automatically adjusts to changing market volatility conditions
Contextual Analysis: Provides market conviction context beyond just price movement
Intuitive Design: Color-based system that requires minimal learning curve
Efficiency: Lightweight calculation that doesn’t impact chart performance
🔬 How It Works
1. ATR Calculation:
Calculates the Average True Range using the specified period
Establishes a baseline for normal market volatility
2. Range Analysis:
Measures each bar’s high-low range
Compares this range to the current ATR value to create a ratio
3. Gradient Mapping:
Converts the Range/ATR ratio to a normalized value between 0 and 1
Maps this value onto a color gradient between the start and end colors
Applies the resulting color to the price bar
4. Dashboard Creation:
Constructs an information panel on the last visible bar
Populates it with color samples and interpretation guidance
💡 Note:
This indicator works best when used in conjunction with other technical analysis tools rather than in isolation. The certainty/uncertainty measure provides context for your trading decisions but should not be the sole basis for entries and exits. Consider using higher certainty periods for trend-following strategies and exercise caution during periods of high uncertainty.
TTM Squeeze Momentum MTF [Cometreon]TTM Squeeze Momentum MTF combines the core logic of both the Squeeze Momentum by LazyBear and the TTM Squeeze by John Carter into a single, unified indicator. It offers a complete system to analyze the phase, direction, and strength of market movements.
Unlike the original versions, this indicator allows you to choose how to calculate the trend, select from 15 different types of moving averages, customize every parameter, and adapt the visual style to your trading preferences.
If you are looking for a powerful, flexible and highly configurable tool, this is the perfect choice for you.
🔷 New Features and Improvements
🟩 Unified System: Trend Detection + Visual Style
You can decide which logic to use for the trend via the "Show TTM Squeeze Trend" input:
✅ Enabled → Trend calculated using TTM Squeeze
❌ Disabled → Trend based on Squeeze Momentum
You can also customize the visual style of the indicator:
✅ Enable "Show Histogram" for a visual mode using Histogram, Area, or Column
❌ Disable it to display the classic LazyBear-style line
Everything updates automatically and dynamically based on your selection.
🟩 Full Customization
Every base parameter of the original indicator is now fully configurable: lengths, sources, moving average types, and more.
You can finally adapt the squeeze logic to your strategy — not the other way around.
🟩 Multi-MA Engine
Choose from 15 different Moving Averages for each part of the calculation:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
RMA (Smoothed Moving Average)
HMA (Hull Moving Average)
JMA (Jurik Moving Average)
DEMA (Double Exponential Moving Average)
TEMA (Triple Exponential Moving Average)
LSMA (Least Squares Moving Average)
VWMA (Volume-Weighted Moving Average)
SMMA (Smoothed Moving Average)
KAMA (Kaufman’s Adaptive Moving Average)
ALMA (Arnaud Legoux Moving Average)
FRAMA (Fractal Adaptive Moving Average)
VIDYA (Variable Index Dynamic Average)
🟩 Dynamic Signal Line
Apply a moving average to the momentum for real-time cross signals, with full control over its length and type.
🟩 Multi-Timeframe & Multi-Ticker Support
You're no longer limited to the chart's current timeframe or ticker. Apply the squeeze to any symbol or timeframe without repainting.
🔷 Technical Details and Customizable Inputs
This indicator offers a fully modular structure with configurable parameters for every component:
1️⃣ Squeeze Momentum Settings – Choose the source, length, and type of moving average used to calculate the base momentum.
2️⃣ Trend Mode Selector – Toggle "Show TTM Squeeze Trend" to select the trend logic displayed on the chart:
✅ Enabled – Shows the trend based on TTM Squeeze (Bollinger Bands inside/outside Keltner Channel)
❌ Disabled – Displays the trend based on Squeeze Momentum logic
🔁 The moving average type for the Keltner Channel is handled automatically, so you don't need to select it manually, even if the custom input is disabled.
3️⃣ Signal Line – Toggle the Signal Line on the Squeeze Momentum. Select its length and MA type to generate visual cross signals.
4️⃣ Bollinger Bands – Configure the length, multiplier, source, and MA type used in the bands.
5️⃣ Keltner Channel – Adjust the length, multiplier, source, and MA type. You can also enable or disable the True Range option.
6️⃣ Advanced MA Parameters – Customize the parameters for advanced MAs (JMA, ALMA, FRAMA, VIDYA), including Phase, Power, Offset, Sigma, and Shift values.
7️⃣ Ticker & Input Source – Select the ticker and manage inputs for alternative chart types like Renko, Kagi, Line Break, and Point & Figure.
8️⃣ Style Settings – Choose how the squeeze is displayed:
Enable "Show Histogram" for Histogram, Area, or Column style
Disable it to show the classic LazyBear-style line
Use Reverse Color to invert line colors
Toggle Show Label to highlight Signal Line cross signals
Customize trend colors to suit your preferences
9️⃣ Multi-Timeframe Options - Timeframe – Use the squeeze on higher timeframes for stronger confirmation
🔟 Wait for Timeframe Closes -
✅ Enabled – Prevents multiple signals within the same candle
❌ Disabled – Displays the indicator smoothly without delay
🔧 Default Settings Reference
To replicate the default settings of the original indicators as they appear when first applied to the chart, use the following configurations:
🟩 TTM Squeeze (John Carter Style)
Squeeze
Length: 20
MA Type: SMA
Show TTM Squeeze Trend: Enabled
Bollinger Bands
Length: 20
Multiplier: 2.0
MA Type: SMA
Keltner Channel
Length: 20
Multiplier: 1.0
Use True Range: ON
MA Type: EMA
Style
Show Histogram: Enabled
Reverse Color: Enabled
🟩 Squeeze Momentum (LazyBear Style)
Squeeze
Length: 10
MA Type: SMA
Show TTM Squeeze Trend: Disabled
Bollinger Bands
Length: 20
Multiplier: 1.5
MA Type: SMA
Keltner Channel
Length: 10
Multiplier: 1.5
Use True Range: ON
MA Type: SMA
Style
Show Histogram: Disabled
Reverse Color: Disabled
⚠️ These values are intended as a starting point. The Cometreon indicator lets you fully customize every input to fit your trading style.
🔷 How to Use Squeeze Momentum Pro
🔍 Identifying Trends
Squeeze Momentum Pro supports two different methods for identifying the trend visually, each based on a distinct logic:
Squeeze Momentum Trend (LazyBear-style):
Displays 3 states based on the position of the Bollinger Bands relative to the Keltner Channel:
🔵 Blue = No Squeeze (BB outside KC and KC outside BB)
⚪️ White = Squeeze Active (BB fully inside KC)
⚫️ Gray = Neutral state (none of the above)
TTM Squeeze Trend (John Carter-style):
Calculates the difference in width between the Bollinger Bands and the Keltner Channel:
🟩 Green = BB width is greater than KC → potential expansion phase
🟥 Red = BB are tighter than KC → possible compression or pre-breakout
📈 Interpreting Signals
Depending on the active configuration, the indicator can provide various signals, including:
Trend color → Reflects the current compression/expansion state (based on selected mode)
Momentum value (above or below 0) → May indicate directional pressure
Signal Line cross → Can highlight momentum shifts
Color change in the momentum → May suggest a potential trend reversal
🛠 Integration with Other Tools
Squeeze Momentum Pro works well alongside other indicators to strengthen market context:
✅ Volume Profile / OBV – Helps confirm accumulation or distribution during squeezes
✅ RSI – Useful to detect divergence between momentum and price
✅ Moving Averages – Ideal for defining primary trend direction and filtering signals
☄️ If you find this indicator useful, leave a Boost to support its development!
Every piece of feedback helps improve the tool and deliver an even better trading experience.
🔥 Share your ideas or feature requests in the comments!
VIDYA Auto-Trading(Reversal Logic)Overview
This script is a dynamic trend-following strategy based on the Variable Index Dynamic Average (VIDYA). It adapts in real time to market volatility, aiming to enhance entry precision and optimize risk management.
⚠️ This strategy is intended for educational and research purposes. Past performance does not guarantee future results. All results are based on historical simulations using fixed parameters.
Strategy Objectives
The objective of this strategy is to respond swiftly to sudden price movements and trend reversals, providing consistent and reliable trade signals under historical testing conditions. It is designed to be intuitive and efficient for traders of all levels.
Key Features
Momentum Sensitivity via VIDYA: Reacts quickly to momentum shifts, allowing for accurate trend-following entries.
Volatility-Based ATR Bands: Automatically adjusts stop levels and entry conditions based on current market volatility.
Intuitive Trend Visualization: Uptrends are marked with green zones, and downtrends with red zones, giving traders clear visual guidance.
Trading Rules
Long Entry: Triggered when price crosses above the upper band. Any existing short position is closed.
Short Entry: Triggered when price crosses below the lower band. Any existing long position is closed.
Exit Conditions: Positions are reversed based on signal changes, using a position reversal strategy.
Risk Management Parameters
Market: ETHUSD(5M)
Account Size: $3,000 (reasonable approximation for individual traders)
Commission: 0.02%
Slippage: 2 pip
Risk per Trade: 5% of account equity (adjusted to comply with TradingView guidelines for realistic risk levels)
Number of Trades: 251 (based on backtest over the selected dataset)
⚠️ The risk per trade and other values can be customized. Users are encouraged to adapt these to their individual needs and broker conditions.
Trading Parameters & Considerations
VIDYA Length: 10
VIDYA Momentum: 20
Distance factor for upper/lower bands: 2
Source: close
Visual Support
Trend zones, entry points, and directional shifts are clearly plotted on the chart. These visual cues enhance the analytical experience and support faster decision-making.
Visual elements are designed to improve interpretability and are not intended as financial advice or trade signals.
Strategy Improvements & Uniqueness
Inspired by the public work of BigBeluga, this script evolves the original concept with meaningful enhancements. By combining VIDYA and ATR bands, it offers greater adaptability and practical value compared to conventional trend-following strategies.
This adaptation is original work and not a direct copy. Improvements are designed to enhance usability, risk control, and market responsiveness.
Summary
This strategy offers a responsive and adaptive approach to trend trading, built on momentum detection and volatility-adjusted risk management. It balances clarity, precision, and practicality—making it a powerful tool for traders seeking reliable trend signals.
⚠️ All results are based on historical data and are subject to change under different market conditions. This script does not guarantee profit and should be used with caution and proper risk management.
VIX bottom/top with color scale [Ox_kali]📊 Introduction
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The “VIX Bottom/Top with Color Scale” script is designed to provide an intuitive, color-coded visualization of the VIX (Volatility Index), helping traders interpret market sentiment and volatility extremes in real time.
It segments the VIX into clear threshold zones, each associated with a specific market condition—ranging from fear to calm—using a dynamic color-coded system.
This script offers significant value for the following reasons:
Intuitive Risk Interpretation: Color-coded zones make it easy to interpret market sentiment at a glance.
Dynamic Trend Detection: A 200-period SMA of the VIX is plotted and dynamically colored based on trend direction.
Customization and Flexibility: All colors are editable in the parameters panel, grouped under “## Color parameters ##”.
Visual Clarity: Key thresholds are marked with horizontal lines for quick reference.
Practical Trading Tool: Helps identify high-risk and low-risk environments based on volatility levels.
🔍 Key Indicators
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VIX (CBOE Volatility Index) : Measures market volatility and investor fear.
SMA 200 : Long-term trendline of the VIX, with color-coded direction (green = uptrend, red = downtrend).
Color-coded VIX Levels:
🔴 33+ → Something bad just happened
🟠 23–33 → Something bad is happening
🟡 17–23 → Something bad might happen
🟢 14–17 → Nothing bad is happening
✅ 12–14 → Nothing bad will ever happen
🔵 <12 → Something bad is going to happen
🧠 Originality and Purpose
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Unlike traditional VIX indicators that only plot a line, this script enhances interpretation through visual segmentation and dynamic trend tracking.
It serves as a risk-awareness tool that transforms the VIX into a simple, emotional market map.
This is the first version of the script, and future updates may include alerts, background fills, and more advanced features.
⚙️ How It Works
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The script maps the current VIX value to a range and applies the corresponding color.
It calculates a SMA 200 and colors it green or red depending on its slope.
It displays horizontal dotted lines at key thresholds (12, 14, 17, 23, 33).
All colors are configurable via input parameters under the group: "## Color parameters ##".
🧭 Indicator Visualization and Interpretation
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The VIX line changes color based on market condition zones.
The SMA line shows long-term direction with dynamic color.
Horizontal threshold lines visually mark the transitions between volatility zones.
Ideal for quickly identifying periods of fear, caution, or stability.
🛠️ Script Parameters
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Grouped under “## Color parameters ##”, the following elements are customizable:
🎨 VIX Zone Colors:
33+ → Red
23–33 → Orange
17–23 → Yellow
14–17 → Light Green
12–14 → Dark Green
<12 → Blue
📈 SMA Colors:
Uptrend → Green
Downtrend → Red
These settings allow users to match the script’s visuals to their preferred chart style or theme.
✅ Conclusion
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The “VIX Bottom/Top with Color Scale” is a clean, powerful script designed to simplify how traders view volatility.
By combining long-term trend data with real-time color-coded sentiment analysis, this script becomes a go-to reference for managing risk, timing trades, or simply staying in tune with market mood.
🧪 Notes
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This is version 1 of the script. More features such as alert conditions, background fill, and dashboard elements may be added soon. Feedback is welcome!
💡 Color code concept inspired by the original VIX interpretation chart by @nsquaredvalue on Twitter. Big thanks for the visual clarity! 💡
⚠️ Disclaimer
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This script is a visual tool designed to assist in market analysis. It does not guarantee future performance and should be used in conjunction with proper risk management. Past performance is not indicative of future results.
StockLeave Signal BarsOverview
The Signal Bars indicator identifies potential trade entries by highlighting expansion and reversal bars. These are defined by individual bar characteristics and further refined by contextual factors such as price position relative to structural boundaries. The purpose is to locate bars that signal potential market initiation or reaction.
Expansion Bars
The expansion captures bars that breakout from a period of reduced volatility. These often initiate directional movement and are recognized using a two-part definition.
Range Expansion: The current bar’s range must exceed the average range. This ensures the move is comparatively large and stands out from recent behavior.
Range Compression: The bars before the expansion must be below a threshold of the average range. This confirms a low-volatility lead-up, strengthening the likelihood that the expansion has significance.
This script applies additional filters: a local breakout ensures price breaks the previous bar’s high or low; a strong close confirms directional intent by requiring the close near the bar’s extreme; mean proximity checks that expansion starts near the mean price using a dynamic buffer relative to bar size; a directional filter blocks signals during extended directional runs; and consecutive suppression prevents multiple expansions to show in succession.
Pin Bar Reversals
Reversal setups aim to identify potential turning points after price has reached a zone of imbalance or extension. These bars typically exhibit long tails and occur near structural boundaries such as the outer Keltner bands. Their design favors short-term price rejection and potential reversal.
Tail Dominance: The wick (upper or lower) must be at least twice the size of the bar’s body and account for more than a certain percentage of the entire bar’s range. This ensures the bar represents strong rejection rather than mere indecision.
Close Location: The bar must close near the opposite end of its wick to confirm that rejection was held into the close. For bearish reversals, the close must be near the low; for bullish reversals, near the high. This reinforces intent and pressure in the direction of the reversal.
This script applies additional filters: local extreme ensures the bar marks a local turning point to confirm reversals occur after extension, not within structure; boundary proximity requires the bar to appear near the outer Keltner Bands, aligning bearish signals with the upper band and bullish with the lower, indicating price has reached an area of likely imbalance.
Snapback Reversals
Snapbacks are structured to capture failed extensions outside structural boundaries. While traditional reversals are identified by a single bar with a rejecting tail, snapbacks use a two-bar sequence: a strong impulse bar that closes beyond the bands, followed by a bar that reclaims in the opposite direction. The difference lies in the formation, not the intent, as both anticipate a reversion after price imbalance.
Impulse Bar Criteria: The previous bar must close beyond the upper (bullish impulse) or lower (bearish impulse) Keltner band. It must also close near its extreme and have a large body. This confirms strong directional pressure.
The current bar must close beyond the midpoint of the previous bar’s body and reverse the prior direction. This signals a failure to follow through and a snapback into the prior range. These will show only when price extends beyond the boundaries. This ensures that the setup targets failed breakouts rather than normal pullbacks or mid-range fluctuation.
Alert Configuration
The Signal Bars indicator includes an alert function with two built-in conditions to help reduce screen time and focus attention when predefined conditions are met.
Expansion: Alerts when a bar meets all conditions for a valid expansion.
Reversal: Alerts when a bar meets the criteria for a pin bar or snapback reversal.
These are built into the indicator with the alertcondition() function and can be turned on whenever the indicator is applied to a chart. Each alert includes a default message that uses dynamic placeholders; {{ticker}} for the symbol and {{interval}} for the timeframe.
Create a new alert and select the condition “StockLeave Signal Bars.”
Then select from the two options: Expansion and Reversal.
For expansions, select “once per bar” to capture developing momentum.
For reversals, use “once per bar close” to confirm rejection setups.
Apply alerts across multiple timeframes to improve coverage. Lower timeframes are better suited for fast-moving markets, while higher timeframes work well in slower or more selective environments. This process only needs to be done once. The created alerts can then be toggled on or off from the Alerts panel as preferred, without requiring reconfiguration.
Applied Discretion
The indicator functions on fixed logic, but interpretation always takes precedence. Consider price action, structure, volatility, and broader market context. Most signals will not lead to trades; while many may appear in a session, only a select few will align with context and warrant execution based on discretion.
Daily Movement AnalysisDaily Volatility Explorer: 7-Day Market Pulse Indicator
Unlock the hidden rhythms of market movements with this powerful analytical tool designed for both traditional and crypto traders. This indicator meticulously tracks and analyzes price volatility patterns across all seven days of the week, giving you a strategic edge in planning your trades.
🎯 Key Features:
• Dynamic 3-month rolling analysis of daily price movements
• Real-time volatility comparison across all trading days
• Clear visual representation through color-coded bar charts
• Detailed statistical table with exact pip movements
• Sample size tracking for statistical reliability
• Works seamlessly on both traditional and crypto markets
💡 Why Traders Need This:
1. Optimal Trade Timing
- Identify the most volatile trading days for maximum opportunity
- Discover the quietest days to avoid choppy markets
- Perfect for swing traders and day traders alike
2. Risk Management Enhancement
- Set smarter stop-losses based on typical daily ranges
- Adjust position sizes according to daily volatility patterns
- Avoid overtrading during historically low-volatility periods
3. Strategic Planning
- Plan your trading week around peak volatility days
- Optimize entry and exit points based on historical movements
- Better time management by focusing on the most active days
4. Market Psychology Insights
- Understand weekly market rhythm and institutional patterns
- Identify how weekend gaps affect crypto markets
- Spot changes in market behavior across different days
🔍 Perfect For:
• Forex traders tracking major currency pairs
• Crypto traders navigating 24/7 markets
• Gold and commodity traders
• Day traders optimizing their trading schedule
• Swing traders planning optimal entry/exit days
📊 Data-Driven Decisions:
The indicator maintains a rolling 3-month window of data, providing fresh, relevant insights while filtering out outdated patterns. Each day's analysis is based on actual market movements, giving you reliable, actionable intelligence for your trading decisions.
⚡ Pro Tip: Use this indicator alongside your existing strategy to enhance your trading plan and improve your timing. The color-coded visual system makes it easy to spot patterns at a glance, while the detailed statistics table provides the hard numbers you need for precise planning.
Remember: Markets evolve, and this indicator helps you stay on top of changing patterns in real-time. Whether you're trading traditional markets or crypto, understanding daily volatility patterns is crucial for consistent trading success.
[iQ]PRO Master iQWave SystemWelcome to the PRO Master iQWave System, an exclusive, ndicator crafted for TradingView. This cutting-edge tool harnesses sophisticated mathematical models to deliver precise buy and sell signals, empowering traders with a comprehensive view of market dynamics.
Key Features
Advanced Analytical Framework: Seamlessly integrates state-of-the-art techniques in signal processing, statistical analysis, and market profiling to uncover high-probability trading opportunities.
Holistic Market Insight: Combines proprietary methods for data transformation, frequency-based cycle detection, adaptive trend and seasonality extraction, and moment-driven anomaly identification—offering a multi-dimensional approach to price analysis.
Customizable Precision: With a wide range of user inputs, traders can tailor the system to their unique strategies and adapt it to diverse market conditions, ensuring flexibility across asset classes and timeframes.
Intuitive Visual Feedback: Displays critical insights directly on your chart, including adaptive fits, statistical boundaries, market profile levels, and a clear, actionable signal label—making complex analysis accessible at a glance.
Why Choose PRO Master iQWave System?
Designed for experienced traders, this indicator stands out by blending advanced analytics with practical usability. Whether you're identifying reversals, filtering noise, or gauging market structure, the PRO Master iQWave System equips you with a robust, all-in-one solution. Its proprietary algorithms distill intricate market data into actionable signals, helping you stay ahead of the curve.
Elevate Your Trading
Experience the power of next-level technical analysis. The PRO Master iQWave System is more than an indicator—it's a strategic edge, reserved for those ready to unlock its potential. Take your trading to new heights with this exclusive tool, available only by invitation.
ADvM, of MMiQ
mrD Open InterestIntroduction
"mrD Open Interest" is a technical analysis reference tool that can help investors monitor and analyze Open Interest data from various cryptocurrency exchanges. This indicator provides insights into Open Interest data through patterns, bursts, and money flow based on proprietary algorithms.
Important Note
Trading always involves risk and can lead to capital loss. This indicator should only be used as a supplementary tool in technical analysis and should not be considered as an accurate forecasting tool or the sole basis for trading decisions. Past results do not guarantee future results.
Proprietary Features of the Indicator
"mrD Open Interest" has been developed with several proprietary features, qualifying it for source code protection when published:
- Unique Multi-Source Integration Algorithm: The indicator uses a smart aggregation method to combine OI data from multiple exchanges, creating a holistic view of market pressure that is not dependent on a single exchange. This method employs special weighting and noise filtering to ensure the aggregated data accurately reflects market conditions.
- Proprietary OI-Price Correlation Analysis Algorithm: Unlike traditional OI indicators that simply display OI values, this indicator uses a complex algorithm to analyze the correlation between price movements and OI changes. This algorithm automatically identifies four money flow patterns (Buy Inflow, Sell Inflow, Buy Outflow, Sell Outflow) and ranks them by potential market impact.
- Advanced Burst Detection Technology: The proprietary algorithm identifies "bursts" - sudden changes in OI that can lead to significant market volatility. This system relies not only on absolute change but also analyzes the rate of change, amplitude, and correlation with historical peaks/troughs to determine the significance of a burst.
- Integrated Smart Alert System: The indicator features a smart alert algorithm, only sending notifications when patterns with high statistical significance are detected, reducing "alert noise" and helping users focus on the most potential opportunities.
- Visual Representation Technology: The user interface design uses proprietary visual representation technology, allowing users to easily identify important patterns and signals through a special system of colors, icons, and display formats.
Features That May Assist
1. Reference Data from Multiple Exchanges: The indicator can collect Open Interest information from various exchanges (Binance, BitMEX, Kraken) and different currency pairs (USDT, USD, BUSD), potentially providing investors with more information about the market.
2.Money Flow Pattern Analysis: The indicator suggests 4 patterns that may help identify market conditions:
Buy Inflow: Potential opening of new long positions (price up, OI up)
Buy Outflow: Potential closing of long positions (price down, OI down)
Sell Inflow: Potential opening of new short positions (price down, OI up)
Sell Outflow: Potential closing of short positions (price up, OI down)
Burst Identification: The indicator attempts to detect "bursts" - notable changes in Open Interest that may signal changes in money flow. Bursts are divided into two types: Up Burst and Down Burst.
3. Price-OI Correlation Reference: The tool provides information about the relationship between price movement and OI changes, potentially helping to assess whether current price momentum is supported by new money flow.
4. Diverse Display Modes: The indicator offers 3 display modes (Columns, Candles, Columns, and Price Line) that may suit different analytical approaches.
Setup and Usage Guide
1. Basic Setup
Select Data Sources (Exchange Settings):
By default, the indicator uses data from Binance USDT Perpetual.
Depending on the coin pair and exchange you're interested in, you can enable/disable different data sources (Binance USD, BUSD, BitMEX USD, USDT, or Kraken).
Recommendation: For popular coins like BTC or ETH, consider combining data from 2-3 major exchanges for a more comprehensive view.
2. Display Customization (Visuals Settings):
OI Display Type: Choose a display type that suits your analysis style:
"Columns": Column format, making it easy to identify OI changes.
"Candles": Candle format, similar to price charts, helps identify candlestick patterns in OI.
"Columns and Price Line": Combines OI columns and price line, helping directly compare OI with price movements.
Show background: Enable to highlight burst periods with a colored background (recommended when using candle mode).
Show signals: Enable to display of burst indicators on the chart (recommended to keep enabled).
Text Color: Customize text color to match your chart background.
3. Alert Settings:
hoose alert types that suit your trading strategy:
"Inflows Only": Only alerts when new money flows into the market.
"Outflows Only": Only alerts when money flows out of the market.
"Bursts Only": Only alerts when there's a strong burst in OI.
"All": Alerts for all the above events.
Effective Usage
Trend Analysis Based on Money Flow Patterns:
Buy Inflow (Green): When the price increases along with OI, it may indicate new buying pressure. Can be considered as a supportive signal for an uptrend.
Sell Inflow (Red): When price decreases along with increasing OI, it may indicate new selling pressure. Can be considered as a supportive signal for a downtrend.
Buy Outflow (Teal): When price decreases but OI also decreases, it may indicate taking profit/cutting loss from long positions. Usually not strong selling pressure and may be ending soon.
Sell Outflow (Dark Red): When the price increases but OI decreases, it may indicate closing of short positions. Usually not strong buying pressure and may be ending soon.
Burst Analysis:
Up Burst: Strong and positive change in OI, most notable when occurring in a Buy Inflow pattern, may signal strong buying money flow into the market.
Down Burst: Strong and negative change in OI, most notable when occurring in a Sell Inflow pattern, may signal strong selling money flow into the market.
Bursts are often signals that deserve special attention and may indicate strong changes in market sentiment.
Using the Information Table:
Monitor "Aggregated OI" to capture the total amount of open contracts.
Pay attention to "OI Change (%)" to assess the degree of change compared to the previous candle.
"Relative OI" provides information about the relative level of OI compared to the average.
"Flow Type" indicates the current money flow pattern.
"Burst Status" displays the burst status if any.
Combining with Other Indicators:
Use in combination with trend indicators (MA, MACD) to confirm trends.
Combine with volume indicators for a more comprehensive view of market activity.
Reference additional momentum indicators to assess trend strength.
Customizing According to Timeframe:
Short timeframes (1m-15m): May show more noise signals.
Medium timeframes (30m-4h): Often provide a good balance between sensitivity and noise filtering.
Long timeframes (D-W): Suitable for monitoring long-term OI trends.
TO THE MOON by ZdormanThe indicator "TO THE MOON by Zdorman" is written in Pine Script version 5 and is designed for volatility analysis, detection of abnormal volumes, and generation of trading signals.
The indicator operates in a separate panel below the chart.
Parameters:
length: The period for calculating volatility.
threshold: The threshold value for volatility. If volatility exceeds this value, the indicator highlights it on the chart.
volume_threshold_multiplier: A multiplier for determining abnormal volumes. The average volume is multiplied by this factor to determine the threshold for abnormal volume.
annualize: An option to annualize volatility. If enabled, volatility is multiplied by the square root of 252 (the number of trading days in a year).
Daily Return Calculation:
The daily return is calculated as the percentage change in the closing price of the current bar relative to the previous bar.
Volatility Calculation:
Volatility is calculated as the standard deviation of daily returns over the specified period.
The ta.stdev function is used to compute the standard deviation.
If volatility exceeds the threshold value, the histogram bars are colored yellow. Otherwise, they are colored blue.
Histogram:
The histogram displays the volatility value.
The display style is columns.
A horizontal line corresponding to the volatility threshold is displayed on the chart.
The line is red and has a dashed style.
Conditions for a "Long" Signal:
Volatility exceeds the threshold value.
The closing price is higher than the opening price.
The volume is abnormal (exceeds the average volume by the specified multiplier).
The indicator supports the creation of alerts for "Long" signals. The alert triggers when all conditions for the signal are met.
Parameter Configuration:
Set the volatility period according to your trading strategy.
Configure the volatility threshold and volume multiplier to filter signals. It is recommended to use the default settings.
Signal Interpretation:
Yellow histogram bars indicate increased volatility.
"Long" signals appear when all conditions are met and can be used as entry points for a position.
The "TO THE MOON by Zdorman" indicator is a powerful tool for volatility analysis and finding market entry points. Its logic is based on a combination of volatility, volume, and price movements, making it useful for traders operating in various markets. Happy trading!
CAM| Bar volatility and statsCAPRICORN ASSETS MANAGEMENT
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CAM | Bar Volatility and Stats Indicator
The CAM | Bar Volatility and Stats indicator is designed to track historical price movements, analyzing bar volatility and key statistical trends in financial instruments. By evaluating past bars, it provides insights into market dynamics, helping traders assess volatility, trend strength, and momentum patterns.
Key Features & Functionality:
✅ Volatility Analysis – Measures historical volatility by calculating the average price range per bar and displaying it in pips.
✅ Bull & Bear Bar Statistics – Tracks the number of bullish and bearish bars within a given lookback period, including their respective percentages.
✅ Consecutive Bar Sequences – Identifies and records the longest streaks of consecutive bullish or bearish bars, providing insights into market trends.
✅ Average Volatility by Trend – Computes separate volatility values for bullish and bearish bars, helping traders understand trend-based price behavior.
✅ Real-Time Labeling – Displays a live statistics summary directly on the chart, updating dynamically with each new bar.
Benefits for Traders:
📊 Enhanced Market Insight – Quickly assess market conditions, determining whether volatility is increasing or decreasing.
📈 Trend Strength Identification – Identify strong bullish or bearish sequences to improve trade timing and strategy development.
⏳ Better Risk Management – Use historical volatility metrics to fine-tune stop-loss and take-profit levels.
🛠 Customizable Analysis – Adjustable lookback period and display options allow traders to focus on the data that matters most.
This indicator is an essential tool for traders looking to refine their decision-making process by leveraging volatility-based statistics. Whether trading Forex, stocks, or commodities, it provides valuable insights into price action trends and market conditions.
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Whale Buy Activity Detector (Real-Time)Whale Buy Activity Detector (Real-Time)
This indicator helps to identify abnormal spikes in the volume of purchases, which may indicate the activity of large players ("whales"). It analyzes the volume of purchases and compares it with the average volume over a certain period of time. If the volume of purchases exceeds a set threshold, the indicator marks this as potential whale activity.
Basic parameters:
Volume Threshold (x Average): The coefficient by which the current purchase volume must exceed the average volume in order to be considered abnormal. The default value is 2.0, which means that the purchase volume should be 2 times the average volume for the selected time period. This parameter can be adjusted in the range from 1.0 and higher in increments of 0.1.
Example: If you set the value to 1.5, the indicator will mark situations when the volume of purchases exceeds the average volume by 1.5 times.
Lookback Period: The time period used to calculate the average purchase volume. The default value is 20, which means that the average purchase volume will be calculated for the last 20 candles. This parameter can be set in the range from 1 and above.Example: If you set the value to 10, the average purchase volume will be calculated for the last 10 candles.
How to use:
Buy Volume: Shows the volume of purchases on each candle. This is the volume that was sold at a price higher than the opening price of the candle.
Average Buy Volume: The average volume of purchases over a given time period (Lookback Period). This parameter helps to determine the "normal" level of purchase volume.
Whale Buy: Notes abnormal spikes in the volume of purchases, which may indicate the activity of "whales". The indicator draws a mark on the top of the candle when the purchase volume exceeds the threshold set by the Volume Threshold parameter.
Notifications:
The indicator can send notifications when an abnormal volume of purchases is detected. You can set up notifications via the TradingView menu to receive real-time alerts.
Usage example:
If you are trading in a highly volatile market, you can increase the Volume Threshold to filter out small volume spikes.
If you trade in a low-volatility market, you can reduce the Volume Threshold to capture even small anomalies.
Volatility Price FlowCapitalize on market volatility with our new volatility price flow indicator. We have designed this indicator to process historical price movements and indicate when price may have reached exhaustion in the context of current volatility.
This is achieved by taking the price deviation from a user defined moving average, and applying a weighting to the deviations from the candle body and candle wick on both buy side and sell side, over a user defined period. The period of the base moving average, type of moving average and the period of the historical price deviations can all be modified. This creates a typical 'band' style indicator, though with a unique characteristic that the buy and sell side vary independently as well as the band expansion being based on weighted variables tied to the actual price changes, rather than just a standard deviation the moves uniformly.
Additionally, these bands can be merged with an anchored vwap - we do this so that the deviations of price from the moving average can include a more volume based approach to identifying potential pivots.
The end result is an indicator that reflects the current market price movements, identifies and capitalizes on impulsive or beginning moves to indicate potential tops / bottoms / reversals.
The signals are simple - anytime price closes within a band, having been outside the band, a signal is displayed. As a basic guide to setting the indicator up for the first time, we suggest reducing all of the multipliers to a value less than 1. Then gradually increase each one, until the signals reduce in quantity and improve in quality, starting with the price deviation multiplier, then the volatility multiplier and finally the expansion multiplier.
Last of all, alerts can be created based on the current chart timeframe and indicator settings, simply by adding an alert that uses the built in buy or sell signal.
Note: We cannot guarantee the accuracy of the signals provided, since the user creates the signals by modifying the settings, and as such we can take no responsibility for any trading losses incurred using the indicator and highly encourage all users to manage their risk and only risk what you can afford to lose.
Uptrick: Quantum RSI +Uptrick: Quantum RSI+ (QR-Pro) is a technical analysis indicator designed to enhance the functionality of the traditional Relative Strength Index (RSI). It incorporates adaptive volatility adjustments, threshold calculations, divergence detection, and visualization enhancements. This script is a vendor-protected indicator, and its source code is not publicly available. It adheres to TradingView’s vendor requirements while providing traders with a refined approach to analyzing market momentum, strength, and trend conditions.
Purpose:
The purpose of Quantum RSI+ (QR-Pro) is to adapt the RSI methodology dynamically based on changing market conditions. By utilizing smoothing techniques, adjustable length calculations, and divergence detection, it provides a structured way to evaluate trend strength and potential reversals. The indicator aims to offer a balanced response to varying levels of market volatility, helping traders minimize lag while reducing signal noise. Unlike standard RSI indicators that rely on fixed period settings, this script adapts to real-time market conditions, offering enhanced responsiveness and more accurate detection of potential reversal points.
Overview:
Quantum RSI+ (QR-Pro) modifies traditional RSI calculations by integrating a state-based adjustment system that alters the RSI length dynamically. This allows the indicator to respond more effectively to different volatility environments. It incorporates multiple analytical tools, such as divergence detection and support/resistance visualization, to assist in identifying momentum shifts and trend strength. In addition, the script offers an advanced metrics table that provides deeper insights into market statistics such as entropy, kurtosis, and volatility analysis. These insights are valuable for traders who wish to understand market structure in greater detail and adjust their strategies accordingly.
Originality:
This indicator differentiates itself by combining adaptive RSI length adjustments, divergence detection, and dynamic learning zones. Unlike standard RSI implementations that use fixed calculations, Quantum RSI+ (QR-Pro) adjusts automatically to market volatility, making it more responsive and effective under changing conditions. The advanced metrics table, which includes measures like the Hurst exponent, entropy, kurtosis, and volatility Z-score, further distinguishes the script by offering an additional layer of market intelligence. These metrics help traders determine whether a market is trending or mean-reverting, assess randomness, and identify volatility spikes, thereby justifying the script's value compared to freely available alternatives.
Enhanced RSI Framework:
Quantum RSI+ (QR-Pro) introduces a framework that adjusts RSI sensitivity based on volatility. Traditional RSI methods use a fixed calculation period, which can result in signals that either react too slowly or too quickly depending on market behavior. This indicator modifies the RSI length dynamically, shortening it in high-volatility periods to capture rapid shifts while extending it in low-volatility periods to filter out noise. This adaptive approach provides a more balanced assessment of market momentum and helps traders avoid false signals. It is best used in conjunction with other technical analysis tools to validate trade setups and manage risk effectively.
Advanced Adaptive Smoothing:
The script employs a multi-layered smoothing technique to refine RSI readings. Traditional RSI indicators can be affected by market noise, leading to erratic signals. By applying a structured smoothing process, Quantum RSI+ (QR-Pro) helps identify sustained trends while filtering out short-lived fluctuations. This balance between reactivity and stability leads to more reliable momentum assessments, making it easier for traders to discern genuine market movements from transient noise.
Dynamic Market Intelligence:
Instead of relying on static thresholds, Quantum RSI+ (QR-Pro) calculates its levels dynamically based on historical market performance. This approach provides a contextual understanding of market conditions, allowing traders to better anticipate reversals. Additional validation methods further increase the reliability of the signals, making the indicator a practical tool for confirming potential trend changes in real time.
Inputs:
• Line Width – Sets the thickness of the RSI plot line for visual clarity.
• MA Type for Quantum RSI – Allows users to choose the type of moving average (SMA, EMA, WMA, or VWMA) to overlay on the Quantum RSI.
• MA Length – Defines the period used for the selected moving average, providing additional trend filtering.
• Enable Moving Average – Toggles the calculation and plotting of the chosen moving average on the RSI. Bar coloring is then adjusted according to the slope of this MA if enabled.
• Ribbon Help – Enables or disables a moving average ribbon that visually compares two moving averages for enhanced trend clarity. Bar coloring is then adjusted according to the slope of this Ribbon if enabled.
• Ribbon Difference – Adjusts the gap between the fast and slow moving averages used in the ribbon visualization.
• Slope Length – Determines the period for calculating the slope of the moving average, which influences its color representation based on trend direction. A higher value usually can help filter out more noise as it would not be affected by small moves.
• Show Advanced Metrics Table – Toggles the display of a table that presents advanced market metrics.
Features and Usage:
• Adaptive RSI Length – Dynamically adjusts the RSI length based on market volatility. Traders can use this feature to obtain more responsive RSI signals during volatile periods and smoother readings during calmer market conditions.
• Quantum RSI Smoothing – Applies a structured smoothing process to RSI values to reduce noise, helping traders focus on genuine momentum shifts rather than transient fluctuations.
• Holographic Divergence Detection – Detects bullish and bearish divergences by comparing price action with RSI movements. This feature can be used to confirm potential trend reversals when combined with other market data.
• Gradient-Filled Zones – Highlights areas with smooth gradient transitions, making it easier to visualize and anticipate shifts in market sentiment.
• Moving Average of RSI – Overlays different moving averages on the RSI to provide additional trend filtering and confirmation for trading decisions.
• Ribbon Visualization – Displays a dynamic moving average ribbon that compares fast and slow moving averages, offering additional visual context and clarity regarding trend direction and potential momentum shifts.
• Metrics Table – Presents market statistics such as the Hurst exponent, Shannon entropy, kurtosis, skewness, fractal dimension, and volatility Z-score. These metrics offer deeper insights into market structure, assisting traders in understanding whether markets are trending or reverting and identifying periods of uncertainty. Here's what the metrics tell you:
• Hurst Exponent – Provides insight into whether market behavior tends to follow a trending or mean-reverting pattern.
• Shannon Entropy – Gauges the randomness or unpredictability in price movements, reflecting market stability.
• Kurtosis – Highlights the likelihood of extreme price swings, indicating the presence of heavy tails in the return distribution.
• Skewness – Indicates the asymmetry in the distribution of returns, pointing to potential biases in price direction.
• Fractal Dimension – Assesses the complexity of market patterns, revealing the intricacy of price action.
• Volatility Z-Score – Standardizes current volatility relative to historical levels, helping to identify periods of unusual market activity.
• UPT State – Provides a qualitative evaluation of the overall market environment, categorizing conditions as favorable, cautionary, or neutral for trading.
• Alerts – Built-in alert conditions notify users when bullish or bearish divergences occur, enabling traders to automate signal detection and respond promptly to market changes.
Summary:
Quantum RSI+ (QR-Pro) is a structured RSI-based momentum analysis tool that adapts to market conditions dynamically. By incorporating volatility-based adjustments, adaptive threshold calculations, and divergence detection, it delivers enhanced trend recognition and trade signals. Its advanced visualization techniques and moving average options offer a clear representation of market dynamics, while the advanced metrics table provides additional insights into market structure and behavior. Traders can use this indicator to identify overbought and oversold conditions dynamically, filter market noise through adaptive smoothing, and confirm trade signals using divergence detection. It is best applied as part of a comprehensive technical analysis strategy to validate trends and potential reversals in real-world trading scenarios.
Disclaimer:
This indicator is a technical analysis tool and should not be considered financial advice. Trading involves significant risk, and past performance does not guarantee future results. Users should exercise discretion and employ proper risk management when utilizing this tool in live trading.
[AlbaTherium] MTF Volatility Edge Zones Premium for Price Action Volatility Edge Zones Premium for Price Action (HTF)
The MTF Volatility Edge Zones Premium for Price Action is an advanced Multiple Timeframes (MTF) trading indicator that combines the power of volume analysis with price action, designed to reveal key volatility zones and assess market participants’ engagement levels . This tool offers unique insights into the dynamics of higher timeframes (HTF), helping traders identify critical zones of decision-making, such as potential reversals, continuations, or breakout areas.
Introduction to the MTF Volatility Edge Zones Premium
This indicator is built upon a deep understanding of the interaction between price action and volume. By mapping volume data onto price action, Volatility Edge Zones Premium (HTF) pinpoints areas of heightened market engagement. These zones represent where buyers and sellers have shown significant activity, allowing traders to identify market intent and anticipate key movements.
Key Features:
Higher Timeframe Analysis: Focuses on significant price and volume interactions over HTFs (e.g., 4H, Daily, Weekly) for a broader perspective on market trends.
Volatility Zones : Highlights areas where market participants show increased activity, signaling potential market turning points or strong continuations.
Volume-Driven Insights: Tracks the behavior of aggressive buyers and sellers, showing their engagement levels relative to price changes.
Overlayon Price Action: Provides a clear and actionable visual representation of volatility and engagement zones directly on price charts.
Chapter 1: Understanding Volatility and Engagement
1.1 Volatility Edge Zones
Volatility Edge Zones are areas where price and volume interact to signal potential changes in market direction or momentum. These zones are derived from high-volume clusters where significant market activity occurs.
1.2 Participant Engagement
Market participants can be categorized based on their level of engagement in these zones:
Aggressive Buyers: Represented by sharp spikes in volume and upward price action.
Aggressive Sellers: Represented by high volume during downward price movement.
Passive Participants: Identified in zones of consolidation or low volatility.
By isolating these behaviors, traders can gain a clearer picture of market sentiment and the relative strength of buyers versus sellers.
Chapter 2: The Principle of Volume and Price Interplay
2.1 Volume as a Leading Indicator
Volume often precedes price movements, and the Volatility Edge Zones Premium captures this relationship by overlaying volume activity onto price charts. This allows traders to:
Identify where volume supports price movement (trend confirmation).
Spot divergences where price moves without volume support (potential reversals).
2.2 The Role of Higher Timeframes
HTFs filter out market noise, revealing macro trends and key levels of engagement. The indicator uses this perspective to highlight long-term volatility zones, helping traders align their strategies with the broader market context.
Chapter 3: Visualizing Volatility Edge Zones
3.1 Color-Coded Zones for Engagement
The indicator uses a color-coded system to represent volatility zones and market engagement levels. These colors correspond to different market conditions:
Red Zones: High selling pressure and aggressive bearish activity.
Blue Zones: High buying pressure and aggressive bullish activity.
Yellow Zones: Transitional zones, representing indecision or balance between buyers and sellers.
White Zones: Neutral areas, where low engagement is observed but could serve as potential breakout points.
3.2 Key Metrics Tracked
Volume Clusters: Areas of concentrated buying or selling activity.
Directional Bias: Net buying or selling dominance.
Momentum Shifts: Sudden changes in volume relative to price action.
These metrics provide actionable insights into market dynamics, making it easier to predict key movements.
Chapter 4: Practical Applications in Trading
4.1 Identifying High-Impact Zones
By focusing on HTFs, traders can use the Volatility Edge Zones Premium to identify high-impact areas where market participants are most engaged. These zones often align with:
Support and Resistance Levels: High-volume areas that act as barriers or catalysts for price movement.
Breakout Points: Zones of heightened volatility where price is likely to escape consolidation.
4.2 Detecting Bull and Bear Campaigns
The indicator highlights early signs of bullish or bearish campaigns by analyzing volume surges in critical volatility zones. These campaigns often signal the beginning of significant trends.
Chapter 5: Real-World Examples and Strategies
5.1 Spotting Market Reversals
Real-world examples demonstrate how the indicator can identify volatility zones signaling potential reversals, allowing traders to enter positions early.
5.2 Riding the Trend
By tracking volatility zones in alignment with HTF trends, traders can maximize profit potential by entering during periods of high engagement and riding the trend until it weakens.
Conclusion
The MTF Volatility Edge Zones Premium for Price Action is an essential tool for traders looking to master market dynamics through a combination of volume and price action analysis. By focusing on higher timeframes and overlaying volatility zones onto price charts, this indicator provides unparalleled insights into market participant engagement.
Whether you’re trading intraday, swing, or long-term strategies, the MTF Volatility Edge Zones Premium equips you with the information needed to make confident and precise trading decisions. Stay tuned as we continue to enhance this tool for even greater accuracy and usability.
Auto-Adjusting Kalman Filter by TenozenNew year, new indicator! Auto-Adjusting Kalman Filter is an indicator designed to provide an adaptive approach to trend analysis. Using the Kalman Filter (a recursive algorithm used in signal processing), this algo dynamically adjusts to market conditions, offering traders a reliable way to identify trends and manage risk! In other words, it's a remaster of my previous indicator, Kalman Filter by Tenozen.
What's the difference with the previous indicator (Kalman Filter by Tenozen)?
The indicator adjusts its parameters (Q and R) in real-time using the Average True Range (ATR) as a measure of market volatility. This ensures the filter remains responsive during high-volatility periods and smooth during low-volatility conditions, optimizing its performance across different market environments.
The filter resets on a user-defined timeframe, aligning its calculations with dominant trends and reducing sensitivity to short-term noise. This helps maintain consistency with the broader market structure.
A confidence metric, derived from the deviation of price from the Kalman filter line (measured in ATR multiples), is visualized as a heatmap:
Green : Bullish confidence (higher values indicate stronger trends).
Red : Bearish confidence (higher values indicate stronger trends).
Gray : Neutral zone (low confidence, suggesting caution).
This provides a clear, objective measure of trend strength.
How it works?
The Kalman Filter estimates the "true" price by filtering out market noise. It operates in two steps, that is, prediction and update. Prediction is about projection the current state (price) forward. Update is about adjusting the prediction based on the latest price data. The filter's parameters (Q and R) are scaled using normalized ATR, ensuring adaptibility to changing market conditions. So it means that, Q (Process Noise) increases during high volatility, making the filter more responsive to price changes and R (Measurement Noise) increases during low volatility, smoothing out the filter to avoid overreacting to minor fluctuations. Also, the trend confidence is calculated based on the deviation of price from the Kalman filter line, measured in ATR multiples, this provides a quantifiable measure of trend strength, helping traders assess market conditions objectively.
How to use?
Use the Kalman Filter line to identify the prevailing trend direction. Trade in alignment with the filter's slope for higher-probability setups.
Look for pullbacks toward the Kalman Filter line during strong trends (high confidence zones)
Utilize the dynamic stop-loss and take-profit levels to manage risk and lock in profits
Confidence Heatmap provides an objective measure of market sentiment, helping traders avoid low-confidence (neutral) zones and focus on high-probability opportunities
Guess that's it! I hope this indicator helps! Let me know if you guys got some feedback! Ciao!
Market Pressure Index [AlgoAlpha]The Market Pressure Index is a cutting-edge trading tool designed to measure and visualize bullish and bearish momentum through a unique blend of volatility analysis and dynamic smoothing techniques. This indicator provides traders with an intuitive understanding of market pressure, making it easier to identify trend shifts, breakout opportunities, and key moments to take profit. Perfect for scalpers and swing traders looking for a strategic edge in volatile markets.
Key Features:
🔎 Bullish and Bearish Volatility Separation : Dynamically calculates and displays bullish and bearish momentum separately, helping traders assess market direction with precision.
🎨 Customizable Appearance: Set your preferred colors for bullish and bearish signals to match your chart's theme.
📊 Deviation-Based Upper Band : Tracks extreme volatility levels using a configurable deviation multiplier, highlighting potential breakout points.
📈 Real-Time Signal Alerts : Provides alerts for bullish and bearish crossovers, as well as take-profit signals, ensuring you never miss key market movements.
⚡ Gradient-Based Visualization : Uses color gradients to depict the intensity of market pressure, making it easy to spot changes in momentum at a glance.
How to Use:
Add the Indicator : Add the Market Pressure Index to your TradingView chart by clicking the star icon. Customize inputs like the pressure lookback period, deviation settings, and colors to fit your trading style.
Interpret the Signals : Monitor the bullish and bearish momentum columns to gauge market direction. Look for crossovers to signal potential trend changes.
Take Action : Use alerts for breakouts above the upper band or for take-profit levels to enhance your trade execution.
How It Works:
The Market Pressure Index separates bullish and bearish momentum by analyzing price movement (close vs. open) and volatility. These values are smoothed using Hull Moving Averages (HMA) to highlight trends while minimizing noise. A deviation-based upper band dynamically tracks market extremes, signaling breakout zones. Color gradients depict the intensity of momentum, offering a clear, visually intuitive representation of market pressure. Alerts are triggered when significant crossovers or take-profit conditions occur, giving traders actionable insights without constant chart monitoring.
Sharpe and Sortino Ratios with Date RangeThis indicator calculates the Sharpe and Sortino ratios using a chart symbol's periodic price returns.
I added the ability to calculate SORTINO and Sharpe based on CUSTOM DATES within the option menu.
It builds on the script here: by adding this feature.
A little about the Sortino Ratio.
www.nasdaq.com
I want equity market returns, but I don’t want equity market volatility. This is the sentiment many investors naturally feel. This sentiment often grows stronger as one approaches or is in the phase where they desire distributions from their savings to improve lifestyle. This is why there is a need for active management in the investment arena. The desire to control downside volatility, but also participate in the upside growth is a very fundamental human desire. The Sortino Ratio measures how well a particular investment meets this fundamental human desire.
There is the old adage, “volatility is the price you pay for returns.” However, what if we could measure the historical performance of an investment and see if it has given above average returns compared to the downside volatility. This is a simple division problem. It will tell us if the volatility “price we are paying for returns” is good. We can then compare that to other investments to see how they compare.
Let us take the return and subtract the risk-free interest rate and then simply divide that by the downside movement from the average. A basic division problem yielding a number that measures a very basic human desire: How well did this investment do compared to the downside risk it experienced.
In the world of financial analysis and investment management, ratios are abundant. There are many ratios that are truly important to a particular analysis. However, the sheer abundance of ratios that are available often overwhelms the casual investor, leading them to disregard ratios altogether. I would argue for those investors that desire a way to rank an investment by its ability to satisfy this very fundamental human desire, the Sortino Ratio is the number they need to consider.
Disappointing in the marketplace for research, the Sortino Ratio is not featured prominently. It is much easier to find the inflows a particular ETF has experienced than the Sortino Ratio. Inflows are important. They measure how much people are investing into an ETF. However, they are mostly only important to the fund manager, not the investor. What investors care about is the Risk-Adjusted Return. This is the Sortino Ratio.
Adaptive Fractal Grid Scalping StrategyThis Pine Script v6 component implements an "Adaptive Fractal Grid Scalping Strategy" with an added volatility threshold feature.
Here's how it works:
Fractal Break Detection: Uses ta.pivothigh and ta.pivotlow to identify local highs and lows.
Volatility Clustering: Measures volatility using the Average True Range (ATR).
Adaptive Grid Levels: Dynamically adjusts grid levels based on ATR and user-defined multipliers.
Directional Bias Filter: Uses a Simple Moving Average (SMA) to determine trend direction.
Volatility Threshold: Introduces a new input to specify a minimum ATR value required to activate the strategy.
Trade Execution Logic: Places limit orders at grid levels based on trend direction and fractal levels, but only when ATR exceeds the volatility threshold.
Profit-Taking and Stop-Loss: Implements profit-taking at grid levels and a trailing stop-loss based on ATR.
How to Use
Inputs: Customize the ATR length, SMA length, grid multipliers, trailing stop multiplier, and volatility threshold through the input settings.
Visuals: The script plots fractal points and grid levels on the chart for easy visualization.
Trade Signals: The strategy automatically places buy/sell orders based on the detected fractals, trend direction, and volatility threshold.
Profit and Risk Management: The script includes logic for taking profits and setting stop-loss levels to manage trades effectively.
This strategy is designed to capitalize on micro-movements during high volatility and avoid overtrading during low-volatility trends. Adjust the input parameters to suit your trading style and market conditions.
