Volatility Squeeze IndicatorThis is All Star Charts' very own Volatility Squeeze Indicator. Popularized by Steve Strazza, it's really just a Bollinger Band Width Indicator with moving averages. Very easy...
波動率
Ghost Month HighlighterGhost Month and Trading: Understanding the Phenomenon
Ghost Month (鬼月) is the seventh month of the lunar calendar in Chinese culture, typically falling between late July and September. During this period, it's believed that the gates of the afterlife open and spirits roam the earth. This deeply rooted cultural belief has significant implications for Asian markets, particularly in regions with large Chinese populations like Taiwan, Hong Kong, Singapore, and mainland China.
Why Markets Often Decline or Stay Flat During Ghost Month:
Reduced Business Activity : Many businesses avoid launching new products, signing major contracts, or making significant investments during this period, believing it brings bad luck.
Property Market Slowdown : Real estate transactions drop significantly as people avoid moving homes or making large purchases. In some markets, property sales can decline by 20-30%.
IPO and M&A Drought : Companies often delay IPOs and merger announcements until after Ghost Month, reducing market catalysts.
Retail Spending Drops : Consumer spending on big-ticket items decreases, though spending on offerings and religious items increases.
Self-Fulfilling Prophecy : Many traders and investors reduce positions or stay on the sidelines, creating lower volumes and increased volatility. This becomes a self-fulfilling prophecy where expectation of poor performance leads to actual underperformance.
Tourism and Entertainment Impact : Travel and entertainment sectors see reduced activity as people avoid unnecessary trips and celebrations.
Historical data shows that Asian equity markets often underperform during Ghost Month, with some studies indicating average returns can be 2-5% lower than other months. However, this also creates opportunities for contrarian investors who buy during the seasonal weakness.
Inspired by @honey_xbt
Volume Peak BoxTH Description
Volume Peak Box
อินดิเคเตอร์นี้ใช้ตรวจจับช่วงที่มี Volume สูงผิดปกติ โดยใช้ Bollinger Band กับข้อมูล Volume ที่ดึงจาก Timeframe ที่ล็อกไว้ (เช่น 1 ชั่วโมง) และจะแสดงผลในรูปแบบ กล่องครอบช่วงราคาสูง–ต่ำ ของช่วง Volume Peak นั้น
🔧 วิธีทำงาน:
คำนวณ Bollinger Band จาก Volume ของ Timeframe ที่กำหนด
ถ้า Volume สูงกว่า Upper Band → ถือว่าเป็น Volume Peak
วาดกล่องครอบ High–Low ของแท่งที่อยู่ในช่วง Volume Peak
กล่องจะแสดงบนทุก Timeframe แต่ใช้ข้อมูลจาก Timeframe ที่ล็อกไว้เท่านั้น
🧠 เหมาะสำหรับการดู:
โซน Breakout
การเคลื่อนไหวของสถาบัน
ความไม่สมดุลของอุปสงค์/อุปทาน
เหมาะมากหากใช้ร่วมกับการอ่านพฤติกรรมราคาใน Timeframe ย่อย เพื่อดูปฏิกิริยาราคาต่อแรง Volume จาก Timeframe ใหญ่
________________
ENG Description
Volume Peak Box
This indicator detects volume spikes based on Bollinger Bands applied to volume from a locked timeframe (e.g. 1H), and draws a box around the price range during those peak periods.
🔧 How it works:
Calculates Bollinger Bands on volume from the selected timeframe.
If volume exceeds the upper band, it is marked as a volume peak.
When a volume peak starts and ends, the indicator draws a box covering the high–low price range during that period.
These boxes remain visible on all timeframes, but always reflect data from the locked timeframe.
🧠 Great for identifying:
Breakout zones
Institutional activity
Supply/demand imbalances
Tip: Use with lower timeframe price action to see how the market reacts near volume peaks from higher timeframes.
ATR Plots + OverlayATR Plots + Overlay
This tool calculates and displays Average True Range (ATR)-based levels on your chart for any selected timeframe, giving traders a quick visual reference for expected price movement relative to the most recent bar’s open price. It plots guide levels above and below that open and shows how much of the typical ATR-based range has already been covered—all in one interactive table and on-chart overlay.
What It Does
ATR Calculation:
Uses true range data over a user-defined period (default 14), smoothed via RMA, SMA, EMA, or WMA, on the selected timeframe (e.g., 1h, 4h, daily) to calculate the ATR value.
Projected Levels:
Plots four reference levels relative to the open price of the most recent bar on the chosen timeframe:
+100% ATR: Open + ATR
+50% ATR: Open + 50% of ATR
−50% ATR: Open − 50% of ATR
−100% ATR: Open − ATR
Coverage %:
Tracks high and low prices for the current session on the selected timeframe and calculates what percentage of the ATR has already been covered:
Coverage % = (High − Low) ÷ ATR × 100
Interactive Table:
Shows the ATR value and current coverage percentage in a customizable table overlay. Position, color scheme, borders, transparency, and an optional empty top row are all adjustable via settings.
Customization Options
Table Settings:
Position the table (top/bottom × left/right).
Customize background color, text color, border color, and thickness.
Optionally add an empty top row for spacing.
Line Settings:
Choose color, line style (solid/dotted/dashed), and width.
Lines automatically update with each new bar on the selected timeframe, anchored to that bar’s open price.
General Inputs:
ATR length (number of bars).
Smoothing method (RMA, SMA, EMA, WMA).
Timeframe selection for ATR calculations (e.g., 15m, 1h, Daily).
How to Use It for Trading
Measure Volatility: Quickly gauge the expected price movement based on ATR for any timeframe.
Identify Overextension: Use the coverage % to see how much of the expected ATR range is already consumed.
Plan Entries & Exits: Align trade targets and stops with ATR levels for more objective planning.
Visual Reference: Horizontal guide lines and table update automatically as new bars form, keeping information clear and actionable.
Ideal For
Intraday traders using ATR levels to frame trades.
Swing traders wanting ATR-based reference points for larger timeframes.
Anyone seeking a volatility-based framework for planning stops, targets, or identifying overextended conditions.
Circuit Breaker Table (NSE Style)🛡️ NSE Circuit Breaker Table – With Volatility-Based Band Support
This script displays a real-time circuit breaker table for any stock, showing the Upper and Lower circuit limits in a clean 2x2 grid. It’s especially useful for Indian traders monitoring NSE-listed stocks.
✅ Key Features:
📊 Upper & Lower Limits based on the previous day’s close
⚡ Optional ATR-based dynamic volatility band calculation
🎨 Customizable font sizes (Small / Medium / Large)
✅ Table neatly positioned on the top-right corner of your chart
🟢 Upper circuit shown in green, 🔴 lower circuit in red
Works on all NSE stocks and adapts automatically to charted symbols
⚙️ Customization Options:
Use static percentage bands (e.g., 10%)
Or enable ATR mode to reflect dynamic circuit potential based on recent volatility
This tool helps you stay aware of where a stock might get halted — useful for momentum traders, circuit breakout traders, and anyone monitoring volatility limits during intraday sessions.
Advanced Liquidity & FVG Detector With Entry/Exit SignalsThe Advanced Liquidity & FVG Detector is more than just an indicator—it's a complete trading system that brings institutional-grade market analysis to individual traders. By combining liquidity detection, fair value gap analysis, sweep/grab pattern recognition, and intelligent risk management, this indicator provides everything needed for sophisticated market analysis and high-probability trading opportunities.
Whether you're a day trader, swing trader, or position trader, this indicator adapts to your style and timeframe, providing the insights needed to make informed trading decisions with confidence. The Pine Script v6 compatibility ensures future-proof performance and seamless integration with the latest TradingView features.
Transform your trading experience with professional-grade market structure analysis—tradable insights delivered in real-time, right on your chart.
Canonical Momenta Indicator [T1][T69]📌 Overview
The Canonical Momenta Indicator models trend pressure using a Lagrangian-based momentum engine combined with reflexivity theory to detect bursts in price movement influenced by herd behavior and volume acceleration.
🧠 Features
Lagrangian-based kinetic model combining velocity and acceleration
Reflexivity burst detection with directional scoring
Adaptive momentum-weighted output (adaptiveCMI)
Buy 🐋 / Sell 🐻 labels when reflexivity confirms direction
Fully parameterized for customization
⚙️ How to Use
This indicator helps traders:
Detect reflexive bursts in market activity driven by sharp price movement + volume spikes
Capture herd-driven directional moves early.
Gauge market pressure using a kinetic-potential energy model.
Suggested signals:
🐋 Reflexive Up: Strong bullish momentum spike confirmed by volume and positive lagrangian pressure
🐻 Reflexive Down: Strong bearish dump confirmed by volume and negative lagrangian burst
🔧 Configuration
MA Lookback Length - Smoothing for baseline price & energy calculation
Reflexivity Momentum Threshold - Price momentum trigger for burst detection
Reflexivity Lookback - Period over which bursts are counted
Reflexivity Window - Minimum burst sum to trigger signal label
Volume Spike Threshold - % above average volume to qualify as burst
📊 Behavior Description
The indicator computes a Lagrangian energy:
Kinetic Energy = (velocity² + 0.5 * acceleration²)
Potential Energy = deviation from moving average (distance²)
Lagrangian = Potential − Kinetic (higher = overextension)
Then, reflexive bursts are triggered when:
Price is rising or falling over short window (burstMvmnt)
Volume is above average by a user-defined multiple
Each bar gets a burst score:
+1 for up-burst
−1 for down-burst
0 otherwise
⚠️ Risk Profile Based on Lookback Settings
Risk Level | Description | Recommended Lookback
🟥 High | Extremely sensitive to bursts, prone to false signals | 7–10
🟨 Moderate | Balanced reflexivity with trend confirmation | 11–20
🟩 Low | Filters out most noise, slower to react | 21+
🧪 Advanced Tips
Combine with moving average slope for trend filtering
Use divergence between adaptiveCMI and price to detect exhaustion
Works well in crypto, commodities, and volatile assets
⚠️ Limitations
Sensitive to high volatility noise if volMult is too low
Designed for higher timeframes (1H, 4H, Daily) for reliability
Doesn’t confirm direction in sideways markets — pair with other filters
📝 Disclaimer
This tool is provided for educational and informational purposes. Always do your own backtesting and use proper risk management.
Smart Confluence + WinRateTwo EMAs (Fast/Slow)
Scoring Signal System (≥ 2 conditions = Buy/Sell)
Display Buy/Sell Arrows on Chart
Backtest System
Results Table: Trades, Wins, Losses, Win Rate %
GCM Volatility-Adaptive Trend ChannelScript Description
Name: GCM Volatility-Adaptive Trend Channel (GCM VATC)
Overview
The GCM Volatility-Adaptive Trend Channel (VATC) is a comprehensive trading tool that merges the low-lag, smooth-trending capabilities of the Jurik Moving Average (JMA) with the classic volatility analysis of Bollinger Bands (BB).
By displaying both trend and volatility in a single, intuitive interface, this indicator aims to help traders see when a trend is stable versus when it's becoming volatile and might be poised for a change.
Core Components:
JMA Trend System: At its core are three dynamically colored JMA lines (Baseline, Fast, and Slow) that provide a clear view of trend direction. The lines change color based on their slope, offering immediate visual feedback on momentum. A colored ribbon between the Baseline and Fast JMA visualizes shorter-term momentum shifts.
Standard Bollinger Bands: Layered on top are standard Bollinger Bands. Calculated from the price, these bands serve as a classic measure of market volatility. They help identify periods where the market is expanding (high volatility) or contracting (low volatility).
How to Use It
By combining these two powerful concepts, this indicator provides a unified view of both trend and volatility. It can help traders to:
Identify the primary trend direction using the smooth JMA lines.
Gauge the strength and stability of that trend.
See when the market is becoming volatile (bands widening) or consolidating (bands contracting), which can often precede a significant price move or a change in trend.
A Note on Originality & House Rules Compliance
This indicator does not introduce a new mathematical formula. Instead, its strength lies in the thoughtful combination of two well-respected, publicly available concepts: the Jurik Moving Average and Bollinger Bands. The JMA implementation is a standard public version. The goal was to create a practical, all-in-one tool for trend and volatility analysis.
This script is published as fully open-source in compliance with TradingView's House Rules. It utilizes standard, publicly available algorithms and does not contain any protected or hidden code.
Settings
All lengths, sources, and colors for the JMA lines and Bollinger Bands are fully customizable in the settings menu, allowing you to tailor the indicator to your specific trading style and asset.
I hope with this indicator Traders even Beginner can can control their emotions which increase the probabilities of the winning rates and cutting the losing strength
Purposely I Didn't plant the High low or Buy Sell signals in the chart. Because everything is in the chart where volatility Signal with the Bollinger Band and Buy Sell Signal in the JMA Dynamic colors. and that's enough to decide when to take trade and when not to.
Thank You and Happy Trading
RED E Support & ResistanceThe “RED-E Support & Resistance” indicator is designed to assist traders in visualizing key levels of support and resistance on a chart by employing ATR (Average True Range) to create dynamic horizontal zones. This indicator automatically plots robust support and resistance bands that can help identify potential areas where price may reverse, consolidate, or react. These levels are particularly beneficial for traders who employ concepts like Smart Money analysis, as they illustrate zones where institutional trading activity might occur.
How It Works:
• The indicator uses ATR-based calculations to determine the placement of the support and resistance zones. This approach accounts for market volatility, making the zones adaptive to changing conditions.
• The Zone Thickness parameter allows users to customize the width of the plotted zones, enhancing visibility and fitting them to their specific trading style.
• The support and resistance zones extend horizontally across the chart, providing clear reference points for potential price reactions.
Practical Application:
• Trend Analysis: Identify areas of significant price resistance and support to understand potential turning points or trends in the market.
• Risk Management: Use these zones to better inform stop-loss placements or set profit targets.
• Confirmation Tool: Combine the indicator with other technical analysis tools for confirmation of potential trade entries or exits.
Customization Options:
• Change the colors of the support and resistance zones for better integration with different chart themes.
• Adjust the ATR Length and Multiplier to fine-tune the sensitivity of the zones based on personal preferences and the characteristics of the asset being analyzed.
Disclaimer:
This indicator is for educational and informational purposes only. It is not intended to serve as investment advice or a recommendation to buy or sell any financial instrument. Always perform your own research and consider consulting with a financial professional before making trading decisions. Trading involves significant risk, and past performance does not guarantee future results.
3 hours ago
Release Notes
The “RED-E Support & Resistance” indicator is designed to assist traders in visualizing key levels of support and resistance on a chart by employing ATR (Average True Range) to create dynamic horizontal zones. This indicator automatically plots robust support and resistance bands that can help identify potential areas where price may reverse, consolidate, or react. These levels are particularly beneficial for traders who employ concepts like Smart Money analysis, as they illustrate zones where institutional trading activity might occur.
How It Works:
• The indicator uses ATR-based calculations to determine the placement of the support and resistance zones. This approach accounts for market volatility, making the zones adaptive to changing conditions.
• The Zone Thickness parameter allows users to customize the width of the plotted zones, enhancing visibility and fitting them to their specific trading style.
• The support and resistance zones extend horizontally across the chart, providing clear reference points for potential price reactions.
Practical Application:
• Trend Analysis: Identify areas of significant price resistance and support to understand potential turning points or trends in the market.
• Risk Management: Use these zones to better inform stop-loss placements or set profit targets.
• Confirmation Tool: Combine the indicator with other technical analysis tools for confirmation of potential trade entries or exits.
Customization Options:
• Change the colors of the support and resistance zones for better integration with different chart themes.
• Adjust the ATR Length and Multiplier to fine-tune the sensitivity of the zones based on personal preferences and the characteristics of the asset being analyzed.
Disclaimer:
This indicator is for educational and informational purposes only. It is not intended to serve as investment advice or a recommendation to buy or sell any financial instrument. Always perform your own research and consider consulting with a financial professional before making trading decisions. Trading involves significant risk, and past performance does not guarantee future results.
EchoPulse – Trend Oscillator v1 [QuayLade]Harness the Pulse. Surf the Trend.
EchoPulse™ is a precision-crafted Trend Oscillator designed to visualize the cyclic rhythm of market movements while keeping you contextually aligned with Higher Timeframe Influence Zones. Whether you're a scalper, swing trader, or systematic strategist, EchoPulse brings clarity to trend dynamics by filtering out noise and spotlighting pivotal trade opportunities.
Core Features & Innovations:
Surge Markers (Counter-Trend Oscillation Bursts):
Identify statistically unsustainable counter-trend surges with high precision. These Aqua & Orange crosses mark potential exhaustion points during pullbacks, perfect for strategic pyramiding and re-entry setups.
Exhaustion Markers (Trend Fatigue Signals):
Spot early signs of trend fatigue with Green & Red Circles. These markers appear when the market's internal cyclic rhythm shows signs of a structural unwind, assisting in managing exits or preparing for trend reversals.
Synchronized Cyclic Lines (Short, Mid, Long):
Visualize the market’s multi-speed oscillations through dynamically flowing Cycle Lines that latch to extreme zones during strong trends. Their stickiness/persistence offers valuable clues into the trend’s strength or weakening momentum.
Higher Timeframe Influence Zone (Contextual Alignment):
A soft overlay reflecting the directional bias of the Higher Timeframe, ensuring you stay aligned with macro flows without adding visual clutter. Greenish for bullish bias, reddish for bearish, and transparent during indecisive phases.
Adaptive Volatility Intelligence (Noise Suppression):
EchoPulse™ dynamically adjusts its sensitivity based on current market volatility, making it effective across various instruments and timeframes — from scalping to positional trading.
Ideal For:
Trend Traders seeking pullback confirmation within trend continuations.
Swing & Position Traders needing clear alignment with higher timeframe structures.
Scalpers] who require real-time directional cues without lag.
Systematic Traders looking to integrate a dynamic, responsive trend oscillator.
Quick User Guide
Trend Bias Confirmation:
Use the HTF Influence Zone background colour to establish directional bias. Prioritize setups aligned with this macro trend.
Entry Triggers with Surge Markers:
Spot Surge Markers appearing against the HTF bias during pullbacks — a signal of possible exhaustion in counter-trend moves and a potential entry opportunity.
Monitor Cyclic Stickiness:
Persistent latching of Cycle Lines to extreme zones indicates a strong trend continuation. Unlatching and normalization could signal consolidation or a pause in trend momentum.
Exhaustion Markers & Reversals:
Exhaustion Markers highlight when a trend leg may be overextended. Combine them with Price Divergence or Key S/R Levels for stronger reversal signals.
Best Practices:
Use EchoPulse™ as a Trend Continuation and Exhaustion Timing Tool .
Combine with Price Action, Divergence Analysis, and Multi-Timeframe Confluence for high-probability setups.
Adjust chart timeframe based on your trading style — Intraday, Swing, or Positional.
Compliance & Acknowledgement Statement:
EchoPulse™ is an original indicator concept meticulously developed by QuayLade using proprietary techniques that visualize dynamic oscillations, adaptive latching behaviours, and multi-timeframe contextual alignment. While the indicator draws inspiration from universally known mathematical constructs such as Rate of Change (RoC) for assessing price momentum, its computational framework, signal derivations, and visualization structures are uniquely crafted and not direct derivatives of any standard or public domain indicators.
All methodologies implemented are original intellectual property, tailored to offer traders an innovative perspective on market rhythm, trend surges, and exhaustion zones. EchoPulse™ is fully committed to be compliant with TradingView’s Vendor Agreements and House Rules regarding originality, fair usage, and responsible adaptation of foundational market analysis concepts.
Script License & Usage Disclaimer:
The EchoPulse™– Trend Oscillator is a proprietary invite-only script. Unauthorized distribution, reverse engineering, or decompilation of this script is strictly prohibited.
This indicator is provided for informational and educational purposes only and does not constitute financial advice or a trading recommendation. Trading and investing involve substantial risks, and the creator assumes no responsibility for financial losses or damages resulting from its use.
By accessing this script, users agree to use it at their own discretion and understand that the author makes no guarantees regarding its performance or suitability for any specific trading objective.
Support & Assistance:
For any queries, feedback, or assistance with usage:
Contact @QuayLade via TradingView DM.
Documentation, usage guides, and walkthroughs will be provided progressively based on user feedback.
SaltWater SageSaltWater Sage - Advanced Market Intelligence Indicator
Navigate market waters with the wisdom of the SaltWater Sage. This sophisticated indicator combines multiple market intelligence streams to provide clear, actionable signals for traders and investors.
Key Features:
• Dual-Signal System: Proprietary risk assessment line paired with symbol-specific momentum analysis
• Real-Time Market Intelligence: Continuously monitors and synthesizes broad market conditions
• Intuitive Visual Design: Clean, color-coded signals that are easy to interpret at a glance
• Adaptive Scaling: Both components harmoniously scaled for optimal visual comparison
• Comprehensive Data Dashboard: Toggle-able information panel showing key market metrics
• Multi-Timeframe Analysis: Works across all timeframes from intraday to long-term
What Makes It Unique: The SaltWater Sage doesn't just follow price action - it reads the market's underlying currents. By combining institutional-grade risk assessment with precise momentum analysis, it helps traders identify optimal entry and exit points that align with broader market conditions.
Perfect For:
• Swing traders seeking high-probability setups
• Long-term investors timing market entries
• Risk-conscious traders managing portfolio exposure
• Anyone looking to understand market sentiment beyond basic technical analysis
Note: This indicator synthesizes complex market data into simple, actionable signals. No prior experience with advanced market analytics required.
No-Wick Extreme Bot – Tops & BottomsNo-Wick ExtremBot – Tops & Bottoms
A high-precision reversal detector for true market extremes.
No-Wick ExtremBot is designed to catch highly accurate market turning points by combining strict candle structure logic with RSI exhaustion levels and ATR-based retest validation.
Unlike conventional indicators that flood your chart with noise, this tool focuses on one thing: spotting clean, no-wick reversal setups where price shows clear momentum exhaustion and is ready to reverse.
🧠 How it works:
No-Wick Candle Detection
• Bullish signal: candle closes above open, with almost no lower wick
• Bearish signal: candle closes below open, with almost no upper wick
• Wick sensitivity is adjustable via “Wick-Tolerance (%)”
RSI Confirmation
• Long signals require RSI below your defined “BUY level”
• Short signals require RSI above your defined “SELL level”
Retest Validation
• After a no-wick setup is detected, price must retest that exact wick level
• This filters out weak impulses and confirms true exhaustion zones
Final Signal = No-Wick + RSI Extreme + Retest
• When all 3 conditions align → a BUY or SELL label appears
• ATR is used to space the signal label from price for better visibility
⚙️ Custom Settings:
• Wick Tolerance (%)
• RSI Length & Thresholds
• ATR Length for spacing
✅ Key Benefits:
• Detects market tops and bottoms with minimal lag
• Eliminates noise – shows only high-quality reversals
• Works across all timeframes and markets
• Visual, easy-to-read signals directly on the chart
• Highly effective for scalping, swing entries, and liquidity traps
ADR Plots + OverlayADR Plots + Overlay
This tool calculates and displays Average Daily Range (ADR) levels on your chart, giving traders a quick visual reference for expected daily price movement. It plots guide levels above and below the daily open and shows how much of the day's typical range has already been covered—all in one interactive table and on-chart overlay.
What It Does
ADR Calculation:
Uses daily high-low differences over a user-defined period (default 14 days), smoothed via RMA, SMA, EMA, or WMA to calculate the average daily range.
Projected Levels:
Plots four reference levels relative to the current day's open price:
+100% ADR: Open + ADR
+50% ADR: Open + 50% of ADR
−50% ADR: Open − 50% of ADR
−100% ADR: Open − ADR
Coverage %:
Tracks intraday high and low prices to calculate what percentage of the ADR has already been covered for the current session:
Coverage % = (High − Low) ÷ ADR × 100
Interactive Table:
Shows the ADR value and today's ADR coverage percentage in a customizable table overlay. The table position, colors, border, transparency, and an optional empty top row can all be adjusted via settings.
Customization Options
Table Settings:
Position the table (top/bottom × left/right).
Change background color, text color, border color and thickness.
Toggle an empty top row for spacing.
Line Settings:
Choose color, line style (solid/dotted/dashed), and width.
Lines automatically reposition each day based on that day's open price and ADR calculation.
General Inputs:
ADR length (number of days).
Smoothing method (RMA, SMA, EMA, WMA).
How to Use It for Trading
Measure Daily Movement: Instantly know the expected daily price range based on historical volatility.
Identify Overextension: Use the coverage % to see if the market has already moved close to or beyond its typical daily range.
Plan Entries & Exits: Align trade targets and stops with ADR levels for more objective intraday planning.
Visual Reference: Horizontal guide lines and table update automatically as new data comes in, helping traders stay informed without manual calculations.
Ideal For
Intraday traders tracking daily volatility limits.
Swing traders wanting a quick reference for expected price movement per day.
Anyone seeking a volatility-based framework for planning targets, stops, or identifying extended market conditions.
MERV: Market Entropy & Rhythm Visualizer [BullByte]The MERV (Market Entropy & Rhythm Visualizer) indicator analyzes market conditions by measuring entropy (randomness vs. trend), tradeability (volatility/momentum), and cyclical rhythm. It provides traders with an easy-to-read dashboard and oscillator to understand when markets are structured or choppy, and when trading conditions are optimal.
Purpose of the Indicator
MERV’s goal is to help traders identify different market regimes. It quantifies how structured or random recent price action is (entropy), how strong and volatile the movement is (tradeability), and whether a repeating cycle exists. By visualizing these together, MERV highlights trending vs. choppy environments and flags when conditions are favorable for entering trades. For example, a low entropy value means prices are following a clear trend line, whereas high entropy indicates a lot of noise or sideways action. The indicator’s combination of measures is original: it fuses statistical trend-fit (entropy), volatility trends (ATR and slope), and cycle analysis to give a comprehensive view of market behavior.
Why a Trader Should Use It
Traders often need to know when a market trend is reliable vs. when it is just noise. MERV helps in several ways: it shows when the market has a strong direction (low entropy, high tradeability) and when it’s ranging (high entropy). This can prevent entering trend-following strategies during choppy periods, or help catch breakouts early. The “Optimal Regime” marker (a star) highlights moments when entropy is very low and tradeability is very high, typically the best conditions for trend trades. By using MERV, a trader gains an empirical “go/no-go” signal based on price history, rather than guessing from price alone. It’s also adaptable: you can apply it to stocks, forex, crypto, etc., on any timeframe. For example, during a bullish phase of a stock, MERV will turn green (Trending Mode) and often show a star, signaling good follow-through. If the market later grinds sideways, MERV will shift to magenta (Choppy Mode), warning you that trend-following is now risky.
Why These Components Were Chosen
Market Entropy (via R²) : This measures how well recent prices fit a straight line. We compute a linear regression on the last len_entropy bars and calculate R². Entropy = 1 - R², so entropy is low when prices follow a trend (R² near 1) and high when price action is erratic (R² near 0). This single number captures trend strength vs noise.
Tradeability (ATR + Slope) : We combine two familiar measures: the Average True Range (ATR) (normalized by price) and the absolute slope of the regression line (scaled by ATR). Together they reflect how active and directional the market is. A high ATR or strong slope means big moves, making a trend more “tradeable.” We take a simple average of the normalized ATR and slope to get tradeability_raw. Then we convert it to a percentile rank over the lookback window so it’s stable between 0 and 1.
Percentile Ranks : To make entropy and tradeability values easy to interpret, we convert each to a 0–100 rank based on the past len_entropy periods. This turns raw metrics into a consistent scale. (For example, an entropy rank of 90 means current entropy is higher than 90% of recent values.) We then divide by 100 to plot them on a 0–1 scale.
Market Mode (Regime) : Based on those ranks, MERV classifies the market:
Trending (Green) : Low entropy rank (<40%) and high tradeability rank (>60%). This means the market is structurally trending with high activity.
Choppy (Magenta) : High entropy rank (>60%) and low tradeability rank (<40%). This is a mostly random, low-momentum market.
Neutral (Cyan) : All other cases. This covers mixed regimes not strongly trending or choppy.
The mode is shown as a colored bar at the bottom: green for trending, magenta for choppy, cyan for neutral.
Optimal Regime Signal : Separately, we mark an “optimal” condition when entropy_norm < 0.3 and tradeability > 0.7 (both normalized 0–1). When this is true, a ★ star appears on the bottom line. This star is colored white when truly optimal, gold when only tradeability is high (but entropy not quite low enough), and black when neither condition holds. This gives a quick visual cue for very favorable conditions.
What Makes MERV Stand Out
Holistic View : Unlike a single-oscillator, MERV combines trend, volatility, and cycle analysis in one tool. This multi-faceted approach is unique.
Visual Dashboard : The fixed on-chart dashboard (shown at your chosen corner) summarizes all metrics in bar/gauge form. Even a non-technical user can glance at it: more “█” blocks = a higher value, colors match the plots. This is more intuitive than raw numbers.
Adaptive Thresholds : Using percentile ranks means MERV auto-adjusts to each market’s character, rather than requiring fixed thresholds.
Cycle Insight : The rhythm plot adds information rarely found in indicators – it shows if there’s a repeating cycle (and its period in bars) and how strong it is. This can hint at natural bounce or reversal intervals.
Modern Look : The neon color scheme and glow effects make the lines easy to distinguish (blue/pink for entropy, green/orange for tradeability, etc.) and the filled area between them highlights when one dominates the other.
Recommended Timeframes
MERV can be applied to any timeframe, but it will be more reliable on higher timeframes. The default len_entropy = 50 and len_rhythm = 30 mean we use 30–50 bars of history, so on a daily chart that’s ~2–3 months of data; on a 1-hour chart it’s about 2–3 days. In practice:
Swing/Position traders might prefer Daily or 4H charts, where the calculations smooth out small noise. Entropy and cycles are more meaningful on longer trends.
Day trader s could use 15m or 1H charts if they adjust the inputs (e.g. shorter windows). This provides more sensitivity to intraday cycles.
Scalpers might find MERV too “slow” unless input lengths are set very low.
In summary, the indicator works anywhere, but the defaults are tuned for capturing medium-term trends. Users can adjust len_entropy and len_rhythm to match their chart’s volatility. The dashboard position can also be moved (top-left, bottom-right, etc.) so it doesn’t cover important chart areas.
How the Scoring/Logic Works (Step-by-Step)
Compute Entropy : A linear regression line is fit to the last len_entropy closes. We compute R² (goodness of fit). Entropy = 1 – R². So a strong straight-line trend gives low entropy; a flat/noisy set of points gives high entropy.
Compute Tradeability : We get ATR over len_entropy bars, normalize it by price (so it’s a fraction of price). We also calculate the regression slope (difference between the predicted close and last close). We scale |slope| by ATR to get a dimensionless measure. We average these (ATR% and slope%) to get tradeability_raw. This represents how big and directional price moves are.
Convert to Percentiles : Each new entropy and tradeability value is inserted into a rolling array of the last 50 values. We then compute the percentile rank of the current value in that array (0–100%) using a simple loop. This tells us where the current bar stands relative to history. We then divide by 100 to plot on .
Determine Modes and Signal : Based on these normalized metrics: if entropy < 0.4 and tradeability > 0.6 (40% and 60% thresholds), we set mode = Trending (1). If entropy > 0.6 and tradeability < 0.4, mode = Choppy (-1). Otherwise mode = Neutral (0). Separately, if entropy_norm < 0.3 and tradeability > 0.7, we set an optimal flag. These conditions trigger the colored mode bars and the star line.
Rhythm Detection : Every bar, if we have enough data, we take the last len_rhythm closes and compute the mean and standard deviation. Then for lags from 5 up to len_rhythm, we calculate a normalized autocorrelation coefficient. We track the lag that gives the maximum correlation (best match). This “best lag” divided by len_rhythm is plotted (a value between 0 and 1). Its color changes with the correlation strength. We also smooth the best correlation value over 5 bars to plot as “Cycle Strength” (also 0 to 1). This shows if there is a consistent cycle length in recent price action.
Heatmap (Optional) : The background color behind the oscillator panel can change with entropy. If “Neon Rainbow” style is on, low entropy is blue and high entropy is pink (via a custom color function), otherwise a classic green-to-red gradient can be used. This visually reinforces the entropy value.
Volume Regime (Dashboard Only) : We compute vol_norm = volume / sma(volume, len_entropy). If this is above 1.5, it’s considered high volume (neon orange); below 0.7 is low (blue); otherwise normal (green). The dashboard shows this as a bar gauge and percentage. This is for context only.
Oscillator Plot – How to Read It
The main panel (oscillator) has multiple colored lines on a 0–1 vertical scale, with horizontal markers at 0.2 (Low), 0.5 (Mid), and 0.8 (High). Here’s each element:
Entropy Line (Blue→Pink) : This line (and its glow) shows normalized entropy (0 = very low, 1 = very high). It is blue/green when entropy is low (strong trend) and pink/purple when entropy is high (choppy). A value near 0.0 (below 0.2 line) indicates a very well-defined trend. A value near 1.0 (above 0.8 line) means the market is very random. Watch for it dipping near 0: that suggests a strong trend has formed.
Tradeability Line (Green→Yellow) : This represents normalized tradeability. It is colored bright green when tradeability is low, transitioning to yellow as tradeability increases. Higher values (approaching 1) mean big moves and strong slopes. Typically in a market rally or crash, this line will rise. A crossing above ~0.7 often coincides with good trend strength.
Filled Area (Orange Shade) : The orange-ish fill between the entropy and tradeability lines highlights when one dominates the other. If the area is large, the two metrics diverge; if small, they are similar. This is mostly aesthetic but can catch the eye when the lines cross over or remain close.
Rhythm (Cycle) Line : This is plotted as (best_lag / len_rhythm). It indicates the relative period of the strongest cycle. For example, a value of 0.5 means the strongest cycle was about half the window length. The line’s color (green, orange, or pink) reflects how strong that cycle is (green = strong). If no clear cycle is found, this line may be flat or near zero.
Cycle Strength Line : Plotted on the same scale, this shows the autocorrelation strength (0–1). A high value (e.g. above 0.7, shown in green) means the cycle is very pronounced. Low values (pink) mean any cycle is weak and unreliable.
Mode Bars (Bottom) : Below the main oscillator, thick colored bars appear: a green bar means Trending Mode, magenta means Choppy Mode, and cyan means Neutral. These bars all have a fixed height (–0.1) and make it very easy to see the current regime.
Optimal Regime Line (Bottom) : Just below the mode bars is a thick horizontal line at –0.18. Its color indicates regime quality: White (★) means “Optimal Regime” (very low entropy and high tradeability). Gold (★) means not quite optimal (high tradeability but entropy not low enough). Black means neither condition. This star line quickly tells you when conditions are ideal (white star) or simply good (gold star).
Horizontal Guides : The dotted lines at 0.2 (Low), 0.5 (Mid), and 0.8 (High) serve as reference lines. For example, an entropy or tradeability reading above 0.8 is “High,” and below 0.2 is “Low,” as labeled on the chart. These help you gauge values at a glance.
Dashboard (Fixed Corner Panel)
MERV also includes a compact table (dashboard) that can be positioned in any corner. It summarizes key values each bar. Here is how to read its rows:
Entropy : Shows a bar of blocks (█ and ░). More █ blocks = higher entropy. It also gives a percentage (rounded). A full bar (10 blocks) with a high % means very chaotic market. The text is colored similarly (blue-green for low, pink for high).
Rhythm : Shows the best cycle period in bars (e.g. “15 bars”). If no calculation yet, it shows “n/a.” The text color matches the rhythm line.
Cycle Strength : Gives the cycle correlation as a percentage (smoothed, as shown on chart). Higher % (green) means a strong cycle.
Tradeability : Displays a 10-block gauge for tradeability. More blocks = more tradeable market. It also shows “gauge” text colored green→yellow accordingly.
Market Mode : Simply shows “Trending”, “Choppy”, or “Neutral” (cyan text) to match the mode bar color.
Volume Regime : Similar to tradeability, shows blocks for current volume vs. average. Above-average volume gives orange blocks, below-average gives blue blocks. A % value indicates current volume relative to average. This row helps see if volume is abnormally high or low.
Optimal Status (Large Row) : In bold, either “★ Optimal Regime” (white text) if the star condition is met, “★ High Tradeability” (gold text) if tradeability alone is high, or “— Not Optimal” (gray text) otherwise. This large row catches your eye when conditions are ripe.
In short, the dashboard turns the numeric state into an easy read: filled bars, colors, and text let you see current conditions without reading the plot. For instance, five blue blocks under Entropy and “25%” tells you entropy is low (good), and a row showing “Trending” in green confirms a trend state.
Real-Life Example
Example : Consider a daily chart of a trending stock (e.g. “AAPL, 1D”). During a strong uptrend, recent prices fit a clear upward line, so Entropy would be low (blue line near bottom, perhaps below the 0.2 line). Volatility and slope are high, so Tradeability is high (green-yellow line near top). In the dashboard, Entropy might show only 1–2 blocks (e.g. 10%) and Tradeability nearly full (e.g. 90%). The Market Mode bar turns green (Trending), and you might see a white ★ on the optimal line if conditions are very good. The Volume row might light orange if volume is above average during the rally. In contrast, imagine the same stock later in a tight range: Entropy will rise (pink line up, more blocks in dashboard), Tradeability falls (fewer blocks), and the Mode bar turns magenta (Choppy). No star appears in that case.
Consolidated Use Case : Suppose on XYZ stock the dashboard reads “Entropy: █░░░░░░░░ 20%”, “Tradeability: ██████████ 80%”, Mode = Trending (green), and “★ Optimal Regime.” This tells the trader that the market is in a strong, low-noise trend, and it might be a good time to follow the trend (with appropriate risk controls). If instead it reads “Entropy: ████████░░ 80%”, “Tradeability: ███▒▒▒▒▒▒ 30%”, Mode = Choppy (magenta), the trader knows the market is random and low-momentum—likely best to sit out until conditions improve.
Example: How It Looks in Action
Screenshot 1: Trending Market with High Tradeability (SOLUSD, 30m)
What it means:
The market is in a clear, strong trend with excellent conditions for trading. Both trend-following and active strategies are favored, supported by high tradeability and strong volume.
Screenshot 2: Optimal Regime, Strong Trend (ETHUSD, 1h)
What it means:
This is an ideal environment for trend trading. The market is highly organized, tradeability is excellent, and volume supports the move. This is when the indicator signals the highest probability for success.
Screenshot 3: Choppy Market with High Volume (BTC Perpetual, 5m)
What it means:
The market is highly random and choppy, despite a surge in volume. This is a high-risk, low-reward environment, avoid trend strategies, and be cautious even with mean-reversion or scalping.
Settings and Inputs
The script is fully open-source; here are key inputs the user can adjust:
Entropy Window (len_entropy) : Number of bars used for entropy and tradeability (default 50). Larger = smoother, more lag; smaller = more sensitivity.
Rhythm Window (len_rhythm ): Bars used for cycle detection (default 30). This limits the longest cycle we detect.
Dashboard Position : Choose any corner (Top Right default) so it doesn’t cover chart action.
Show Heatmap : Toggles the entropy background coloring on/off.
Heatmap Style : “Neon Rainbow” (colorful) or “Classic” (green→red).
Show Mode Bar : Turn the bottom mode bar on/off.
Show Dashboard : Turn the fixed table panel on/off.
Each setting has a tooltip explaining its effect. In the description we will mention typical settings (e.g. default window sizes) and that the user can move the dashboard corner as desired.
Oscillator Interpretation (Recap)
Lines : Blue/Pink = Entropy (low=trend, high=chop); Green/Yellow = Tradeability (low=quiet, high=volatile).
Fill : Orange tinted area between them (for visual emphasis).
Bars : Green=Trending, Magenta=Choppy, Cyan=Neutral (at bottom).
Star Line : White star = ideal conditions, Gold = good but not ideal.
Horizontal Guides : 0.2 and 0.8 lines mark low/high thresholds for each metric.
Using the chart, a coder or trader can see exactly what each output represents and make decisions accordingly.
Disclaimer
This indicator is provided as-is for educational and analytical purposes only. It does not guarantee any particular trading outcome. Past market patterns may not repeat in the future. Users should apply their own judgment and risk management; do not rely solely on this tool for trading decisions. Remember, TradingView scripts are tools for market analysis, not personalized financial advice. We encourage users to test and combine MERV with other analysis and to trade responsibly.
-BullByte
kiwi 지표 통합 v6 MAX많이 사용하는 지표들을 하나의 지표로 만들었습니다.
주로 이동평균선을 기준으로 매매에 유용한 지표를 모았고
볼랜저밴드, 일목군형표를 하나의 지표로 만들었습니다.
특히, 캔들색이 한국 스타일을 원하는 사람에게 적합니다.
(빨간색 = 상승, 파란색 = 하락)
We made the most used indicators one indicator.
We collected indicators that are useful for trading mainly based on the moving average
The bolanger band and the Ilmok group table were made one indicator.
In particular, the candle color is written for those who want the Korean style.
(Red = Up, Blue = Down)
kiwi 지표 통합 v6 MAX많이 사용하는 지료들을 하나의 지표로 만들었습니다.
주로 이동평균선을 기준으로 매매에 유용한 지표를 모았고
볼랜저밴드, 일목군형표를 하나의 지표로 만들었습니다.
특히, 캔들색이 한국 스타일을 원하는 사람에게 적합니다.
(빨간색 = 상승, 파란색 = 하락)
I made a lot of used materials as an indicator.
We collected indicators that are useful for trading mainly based on the moving average
The bolanger band and the Ilmok group table were made one indicator.
In particular, the candle color is written for those who want the Korean style.
(Red = Up, Blue = Down)
HMM Trend Strength Meter (3-State)Strong Up-Trend: p_up > 0.6–0.7 → look for BUY setups
Strong Down-Trend: p_dn > 0.6–0.7 → look for SELL setups
Range/Sideways: p_side > 0.6 → consider mean-reversion entries
Adjust your own threshold (e.g. 0.7–0.8) to control signal frequency.
Delta Weighted Average Price (DWAP) @MaxMaserati 2.0MMM DWAP (Delta Weighted Average Price) - Trading Indicator Guide
Overview
The MMM DWAP (Delta Weighted Average Price) indicator analyzes volume-price relationships by incorporating buying and selling pressure (delta) to identify key support and resistance levels. This tool provides multi-timeframe analysis with momentum assessment and breakout detection capabilities.
Core Methodology
MMM DWAP calculates weighted average prices based on delta (buying vs selling pressure) rather than volume alone. This approach reveals where directional money flow creates sustainable support and resistance levels, providing traders with enhanced market analysis.
Key Innovation: Fair Value Magnetism
The market facilitates fair exchange between buyers and sellers. The indicator identifies dynamic fair value zones through delta-weighted cloud bands. Price tends to return to these levels, creating high-probability reaction points for trading decisions.
Technical Comparison
vs VWAP
- VWAP: Volume-weighted calculation showing where volume occurred
- MMM DWAP: Delta-weighted analysis revealing directional money flow with multi-timeframe integration
vs Moving Averages
- Moving Averages: Price-only calculation with inherent lag
- MMM DWAP: Real-time delta analysis providing delta-defended levels with market context
vs Bollinger Bands
- Bollinger Bands: Statistical volatility measures for squeeze detection
- MMM DWAP: Breakout prediction with confidence levels based on market pressure analysis
Visual Components
MMM DWAP Line (Orange): Primary fair value level based on delta weighting
Dynamic Cloud Bands: Overbought/oversold zones with fair value magnetism
Support/Resistance Lines: Multi-timeframe key levels with delta directional indicators
Squeeze Detection: Volatility compression alerts with breakout direction prediction
Analysis Table: Real-time consensus direction, momentum strength, and breakout predictions
Fair Value Zone Concept
Orange Line: Absolute Fair Value Price - the natural equilibrium level where price gravitates. Most important support/resistance level.
Price closed below the line
Price closed above the line
Upper Cloud = Bullish Fair Value Area (BuFV):
- When price is above Orange Line, Upper Cloud acts as support
- Price pullbacks to this zone create buying opportunities
- Represents fair value in bullish market conditions
Far Above Upper Cloud = "TOO HIGH" Zone:
- Price is overextended above fair value
- Overbought condition - likely to reverse DOWN to Upper Cloud (BuFV)
- Sell signal area or profit-taking zone for longs
Lower Cloud = Bearish Fair Value Area (BeFV):
- When price is below Orange Line, Lower Cloud acts as resistance
- Price rallies to this zone create selling opportunities
- Represents fair value in bearish market conditions
Far Below Lower Cloud = "TOO LOW" Zone:
- Price is overextended below fair value
- Oversold condition - likely to reverse UP to Lower Cloud (BeFV)
- Buy signal area or profit-taking zone for shorts
Rubber Band Effect:
- Upper Cloud (BuFV): If price stretches TOO FAR UP → snaps back DOWN to fair value area
- Lower Cloud (BeFV): If price stretches TOO FAR DOWN → snaps back UP to fair value area
Support & Resistance Intelligence
Resistance Line Behavior:
Red Arrow Down (R ↓):
- Bearish delta at resistance level
- Sellers are defending this resistance
- Strong selling pressure - price likely to reject downward
- Traditional resistance behavior - SELL zone
Green Arrow Up (R ↑):
- Bullish delta at resistance level
- Buyers are challenging this resistance
- Strong buying pressure pushing through
- Potential breakout signal - BUY zone
Support Line Behavior:
Green Arrow Up (S ↑):
- Bullish delta at support level
- Buyers are defending this support
- Strong buying interest - price likely to bounce up
- Traditional support behavior - BUY zone
Red Arrow Down (S ↓):
- Bearish delta at support level
- Sellers are overwhelming support
- Strong selling pressure breaking through
- Potential breakdown signal - SELL zone
When the arrow is → for the Support and Resistance line, it is a neutral state
4-Phase Breakout Cycle
Phase 1 - Normal Trading: Regular price movement with bands at normal width
Phase 2 - Band Tightening (SQUEEZE): Yellow diamonds appear as bands compress. Breakout direction prediction activates - early warning before the move.
Phase 3 - Balloon Formation: Bands expand outward, forming balloon shape around price. Preparation phase - volatility releasing but price still contained.
Phase 4 - Explosive Breakout: Price breaks decisively through expanded bands with volume surge and directional momentum. Execution phase.
Strategy Sequence:
- Tightening Phase = PREDICT (Get direction forecast)
- Balloon Phase = PREPARE (Confirm setup and position size)
- Breakout Phase = EXECUTE (Enter trade in predicted direction)
Trading Applications
Retest Strategy:
1. Identify trend bias through MMM DWAP line position
2. Monitor for breakouts above/below Orange Line
3. Wait for pullback to appropriate Fair Value zone (BuFV or BeFV)
4. Execute trades on reaction at fair value levels
High-Probability Setups:
- Bullish Breakout: Bullish consensus + Strong momentum + Resistance with strong buying delta
- Bearish Rejection: Bearish consensus + Strong momentum + Resistance with strong selling delta
- Support Bounce: Bullish consensus + Support with strong buying delta
Analysis Table Guide
Consensus Row: Overall market sentiment based on volume-weighted buying/selling pressure
- BULLISH: Look for long opportunities
- BEARISH: Look for short opportunities
Momentum Row: Current strength compared to recent average
- STRONG: High conviction moves - ride momentum
- WEAK: Low conviction moves - wait for better setups
Price Level Rows (R1, R2, S1, S2): Delta pressure at each level
- High positive delta = Buyers dominated (potential breakout level)
- High negative delta = Sellers dominated (potential rejection level)
Risk Management
- Stop Levels: Orange Line breaks or opposite band extremes
- Profit Targets: Opposite fair value zones
- Position Sizing: Based on momentum strength indicators
Technical Notes
- Delta Calculation: Bullish volume minus bearish volume for directional pressure
- Timeframe Independence: MMM DWAP and S/R levels can utilize different timeframes
- Squeeze Algorithm: Adaptive band width analysis for volatility compression
- Consensus Logic: Aggregate delta analysis across multiple price levels
- Fair Value Zones: Dynamic BuFV/BeFV adaptation based on Orange Line position
Note: This indicator combines volume-price analysis with order flow concepts. Effectiveness depends on market liquidity and proper application of fair value principles. Most effective setups occur when consensus direction, momentum strength, squeeze detection, and favorable delta history align.
Daily Status + ATR + MAAfter years of studying, analyzing markets, and thousands of hours of trial and error – I'm proud to present my new indicator for smarter and more precise trading!
🔍 What's inside?
✔️ Real-time daily status (percentage and monetary change)
✔️ ATR indicator to measure volatility
✔️ 150-period Moving Average for trend analysis
✔️ Smart signal system based on ATR + MA:
▪️ Strong / Weak Buy
▪️ Strong / Weak Sell
▪️ “No-Touch” zone detection
✔️ Clean and clear visual display directly on the chart, including company name, ticker, market cap, and timeframe (1D, 1W, etc.)
✔️ Built-in alerts to notify you when a strong buy signal is triggered – so you never miss an opportunity
🧠 Designed to provide quick and intelligent decisions at a glance, filtering out noise and focusing only on what matters.
💡 Suitable for both beginners and advanced traders – whether you're tracking stocks, crypto, or indices.
📈 Result: A chart that speaks your language – simple, focused, and powerful.
VWAP MultiCombined IntradayIncluded all VWAP in One for intraday purpose.
User will get S W M Q Y Decade Century Vwap at Single Combined.
This will helps to find levels who uses vwap on routine basis.
Nexalgo Volatility Plus🔧 Volatility Plus – Invite-Only Indicator
The Volatility Plus indicator combines ATR-based volatility metrics with trend strength measurements. It is designed to visualize market conditions related to volatility and trend dynamics.
🧠 Key Components:
ATR Calculation
Displays Average True Range to measure historical price volatility over a defined period.
Includes multiple smoothing options: RMA, SMA, EMA, WMA.
Trend Strength Analysis
Calculates trend momentum using a moving average.
Expresses directional bias and intensity as a percentage.
Volatility Visualization
Color-coded system for current volatility:
Green = low, Yellow = moderate, Red = high.
Dashboard Display
Positioned in the lower-right of the chart.
Shows real-time values for: ATR, ATR %, volatility class, and trend strength.
Uses a neutral background for readability.
⚙️ Customization:
ATR length, moving average type, and calculation period are adjustable.
Adaptable to multiple market styles and timeframes.
📝 Example Applications:
Monitoring volatility levels to observe changing market conditions
Comparing trend strength across timeframes
Supporting technical analysis frameworks with contextual metrics
⚠️ Disclaimer:
This indicator is a technical tool intended for analysis only. It does not provide financial advice, nor does it guarantee performance. Traders are responsible for their own decisions and risk management.
