Sesiones Globales 🌍 Londres / Wall Street / Tokio / SydneyA clean visualization of the four main trading sessions — all shown in Argentina time (UTC−3) for easier global market tracking.
🕒 Sessions covered:
London 🇬🇧 — 05:00 to 13:30
Wall Street 🇺🇸 — 11:30 to 18:00
Tokyo 🇯🇵 — 21:00 to 03:00
Sydney 🇦🇺 — 20:00 to 02:00
✨ Features:
Soft background colors for each market session (non-intrusive and chart-friendly)
“OPEN” and “CLOSE” labels in matching session colors
Correct weekend handling — Tokyo and Sydney extend into early Saturday mornings (no false sessions shown)
Works on any asset — BTC, SP500, FX, or indices
Designed for dark charts and visual clarity
🎯 Why use it:
See where global liquidity overlaps, detect volatility zones, and plan your trades around real session activity — especially helpful for BTC and SP500 traders following institutional flow.
💡 Tip: All times are set to Argentina (UTC−3) by default. Adjust manually if you prefer another timezone.
التقلب
Intraday Perpetual Premium & Z-ScoreThis indicator measures the real-time premium of a perpetual futures contract relative to its spot market and interprets it through a statistical lens.
It helps traders detect when funding pressure is building, when leverage is being unwound, and when crowding in the futures market may precede volatility.
How it works
	•	Premium (%) = (Perp – Spot) ÷ Spot × 100
The script fetches both spot and perpetual prices and calculates their percentage difference each minute.
	•	Rolling Mean & Z-Score
Over a 4-hour look-back, it computes the average premium and standard deviation to derive a Z-Score, showing how stretched current sentiment is.
	•	Dynamic ±2σ Bands highlight statistically extreme premiums or discounts.
	•	Rate of Change (ROC) over one hour gauges the short-term directional acceleration of funding flows.
Colour & Label Interpretation
Visual cue	Meaning	Trading Implication
🟢 Green bars + “BULL Pressure”	Premium rising faster than mean	Leverage inflows → momentum strengthening
🔴 Red bars + “BEAR Pressure”	Premium shrinking	Leverage unwind → pull-back or consolidation
⚠️ Orange “EXTREME Premium/Discount”		Crowded trade → heightened reversal risk
⚪ Grey bars	Neutral	Balanced conditions
Alerts
	•	Bull Pressure Alert → funding & premium rising (momentum building)
	•	Bear Pressure Alert → premium falling (deleveraging)
	•	Extreme Premium Alert → crowded longs; potential top
	•	Extreme Discount Alert → capitulation; possible bottom
Use case
Combine this indicator with your Heikin-Ashi, RSI, and MACD confluence rules:
	•	Enter only when your oscillators are low → curling up and Bull Pressure triggers.
	•	Trim or exit when Bear Pressure or Extreme Premium appears.
	•	Watch for Extreme Discount during flushes as an early bottoming clue.
Simulated Fear & Greed (CNN-calibrated v2)🧭 Fear & Greed Index — TradingView Version (Simulated CNN Model)
🔍 Purpose
The Fear & Greed Index is a sentiment indicator that quantifies market emotion on a scale from 0 to 100, where:
0 represents Extreme Fear (capitulation, oversold conditions), and
100 represents Extreme Greed (euphoria, overbought conditions).
It helps traders assess whether the market is driven by fear (risk aversion) or greed (risk appetite) — giving a high-level view of potential turning points in market sentiment.
⚙️ How It Works in TradingView
Because TradingView cannot directly access CNN’s or alternative external sentiment feeds, this indicator simulates the Fear & Greed Index by analyzing in-chart technical data that reflect investor psychology.
It uses a multi-factor model, converting price and volume signals into a composite sentiment score.
🧩 Components Used (Simulated Metrics)
Category	Metric	Emotional Interpretation
Volatility	ATR (Average True Range)	High ATR = Fear, Low ATR = Greed
Momentum	RSI + MACD Histogram	Rising momentum = Greed, Falling = Fear
Volume Activity	Volume Z-Score	High positive deviation = Greed, Low = Fear
Trend Context	SMA Regime Bias (50/200)	Downtrend adds Fear penalty, Uptrend supports Greed
These elements are normalized into a 0–100 scale using percentile ranks (like statistical scoring) and then combined using user-adjustable weights.
⚖️ CNN-Style Calibration
The script follows CNN’s five sentiment bands for clarity:
Range	Zone	Colour	Description
0–25	Extreme Fear	🔴 Red	Panic, forced selling, capitulation risk
25–45	Fear	🟠 Orange	Uncertainty, hesitation, early accumulation phase
45–55	Neutral	⚪ Gray	Balanced sentiment, indecision
55–75	Greed	🟢 Light Green	Optimism, trend continuation
75–100	Extreme Greed	💚 Bright Green	Euphoria, risk of reversal
This structure aligns visually with CNN’s public gauge, making it easy to interpret.
Fractal Dimension Index (FDI) by CoryP1990 – Quant ToolkitThe Fractal Dimension Index (FDI) quantifies how directional or choppy price movement is; in other words, it measures the “roughness” of a trend. FDI values near 1.0–1.3 indicate strong directional trends, while values near 1.5–2.0 reflect chaotic or range-bound behavior. This makes FDI a powerful tool for detecting trend vs. mean-reversion regimes.
 How it works 
Calculates the ratio of average price changes over full and half-length windows to estimate the fractal dimension of price movement.
Teal line = FDI decreasing → trending behavior (market smoother, more directional).
Orange line = FDI increasing → choppiness or consolidation.
Background:
Green tint = trend-friendly regime (FDI below low threshold).
Orange tint = choppy regime (FDI above high threshold).
 Use cases 
Detect when markets shift from trend-following to mean-reverting conditions.
Filter trades: favor trend strategies when FDI < 1.3 and reversion setups when FDI > 1.7.
Combine with momentum or volatility metrics to classify regimes.
 Defaults 
Length = 20
High-FDI threshold = 1.8
Low-FDI threshold = 1.2
 Example — TSLA (1D, 2021) 
Early 2021 trades choppy to sideways with FDI swinging up toward 1.5, then the index drops below 1.2 as Tesla transitions into a persistent trend-friendly regime through the second half of the year (green background). During the Q4 breakout, FDI holds ~1.0–1.2, confirming strong directionality; brief pullbacks lift FDI back toward the mid-range before trending pressure resumes. At the right edge, FDI sits well below the low threshold, signaling that price remains in a trend-supportive state.
 Part of the Quant Toolkit — transparent, open-source indicators for modern quantitative analysis. Built by CoryP1990.
Yang-Zhang Volatility (YZVol) by CoryP1990 – Quant ToolkitThe Yang-Zhang Volatility (YZVol) estimator measures realized volatility using both overnight gaps and intraday moves. It combines three components: overnight returns, open-to-close returns, and the Rogers–Satchell term, weighted by Zhang’s k to reduce bias.
 How to read it 
Line color: Green when YZVol is rising (volatility expansion), Red when falling (volatility compression).
Background: Green tint = above High-vol threshold (active regime). Red tint = below Low-vol threshold (quiet regime).
Units: Displays Daily % by default on any timeframe (values are normalized to daily). An optional toggle shows Annualized % (√252 × Daily %).
 Typical uses 
Spot transitions between quiet and active regimes.
Compare realized vol vs implied vol or a risk-target.
Adapt position sizing to volatility clustering.
 Defaults 
Length = 20
High-vol threshold = 5% (Daily)
Low-vol threshold = 1% (Daily)
Optional: Annualized % display
 Example — SPY (1D) 
During the 2020 crash, YZVol surged to 5.8 % per day, capturing the height of pandemic-era volatility before compressing into a calm regime through 2021. Volatility re-expanded in 2022 due to reinflamed COVID fears and gradually stabilized through 2023. A sharp, liquidity-driven volatility event in August 2024 caused another brief YZVol surge, reflecting the historic one-day VIX spike triggered by market-wide risk-off flows and thin pre-market liquidity. A second, policy-driven expansion followed in April–May 2025, coinciding with the renewed U.S.–China tariff conflict and a sharp equity pullback. Since mid-2025, YZVol has settled near 1 % per day, with the red background confirming that realized volatility has once again compressed into a quiet, low-risk regime.
 Part of the Quant Toolkit — transparent, open-source indicators for modern quantitative analysis. Built by CoryP1990.
ADX Color Change by BehemothI find this tool to be the most valuable and accurate entry point indicator along with moving averages and the VWAP.  
 ADX Color Indicator - Controls & Intraday Trading Benefits
 
 Indicator Controls:
 
 1. ADX Length  (default: 14)
   - Controls the calculation period for ADX
   - Lower values (7-10) = more sensitive, faster signals (better for scalping)
   - Higher values (14-20) = smoother, fewer false signals (better for swing trades)
   - *Intraday tip:* Try 10-14 for most intraday timeframes
 2. Show Threshold Levels  (default: On)
   - Displays the 20 and 25 horizontal lines
   - Helps you quickly identify when ADX crosses key strength levels
 3. Use Custom Timeframe  (default: Off)
   - Allows viewing higher timeframe ADX on lower timeframe charts
   - *Example:* Trade on 5-min chart but see 15-min or 1-hour ADX
 4. Custom Timeframe 
    - Select any timeframe: 1m, 5m, 15m, 30m, 1H, 4H, D, etc.
   - *Intraday tip:* Use 15m or 1H ADX on 5m charts for better trend context
 5. Show +DI and -DI  (default: Off)
   - Shows directional movement indicators
   - Green line (+DI) > Red line (-DI) = bullish trend
   - Red line (-DI) > Green line (+DI) = bearish trend
 6. Show Background Zon es (default: Off)
   - Visual background colors for quick trend strength identification
   - Green = strong trend (ADX > 25)
   - Yellow = moderate trend (ADX 20-25)
 Intraday Trading Benefits:
 
 1. Avoid Choppy Markets
 - When ADX < 20 (no background color), market is ranging
- Reduces false breakout trades and whipsaws
- Save time and capital by stepping aside during low-quality setups
 2. Identify High-Probability Trend Trades
 - **Green line + Green zone** = strong trend building, look for pullback entries
- Yellow line crossing above 20 = early trend formation signal
- Catch trends early when ADX starts rising from below 20
 3. Multi-Timeframe Analysis
 - Use custom timeframe to align with higher timeframe trends
- *Example:* If 1H ADX shows green (strong trend), take breakout trades on 5m chart in same direction
- Increases win rate by trading with the bigger picture
 4. Exit Signals
 - When ADX turns red (falling), trend is weakening
- Consider tightening stops or taking profits
- Avoid entering new positions when ADX is declining
 5. Quick Visual Confirmation
 - Color coding eliminates need to analyze numbers
- Instant recognition: Green = go, Yellow = caution, Red = trend dying
- Faster decision-making during fast market moves
 6. Scalping Strategy
 - Set ADX length to 7-10 for sensitive signals
- Only scalp when ADX is rising (blue, yellow, or green)
- Exit when ADX turns red
 7. Breakout Confirmation
 - Wait for ADX to rise above 20 after a breakout
- Filters false breakouts in ranging markets
- Yellow or green color confirms momentum behind the move
 Optimal Intraday Settings:
 
- Day Trading (5-15 min charts):** ADX Length = 10-14
- Scalping (1-5 min charts):** ADX Length = 7-10, watch custom 15m timeframe
- Swing Intraday (30min-1H charts):** ADX Length = 14-20
 Simple Trading Rules:
 ✅ Trade: ADX rising + above 20 (yellow or green)  
⚠️ Caution: ADX flat or just crossed 20  
❌ Avoid:*ADX falling (red) or below 20
The key advantage is  staying out of low-quality, choppy price action  which is where most intraday traders lose money!
Integrated Volatility Intelligence System (IVIS) AutoKVolMind™ AutoK — Integrated Volatility Intelligence System (IVIS)
IVIS AutoK
Author: © lfu
Public Description (for publication)
VolMind™ AutoK represents an institutional-grade open-source framework for adaptive volatility intelligence and probabilistic trade management.
This system fuses Kalman-inspired KAMA smoothing, CVD dynamics, Auto K-Means clustering, entropy-based regime analysis, and a Kolmogorov–Smirnov market normality test into a single modular platform.
 Key Capabilities: 
 
 
 Adaptive ATR Stop Bands dynamically scale with volatility, entropy, and cluster variance.
 
 
 Auto KMeans Intelligence automatically selects the optimal cluster count for price structure recognition (3–10 clusters).
 
 
 Entropy Module quantifies structural uncertainty and information decay within price movement.
 
 
 KS-Test Integration identifies non-normal distributions, signaling regime divergence and volatility inflection.
 
 
 CVD Dynamics reveal real-time directional bias via cumulative volume delta.
 
 
 MSI Composite Signal fuses multi-source indicators (ATR, CVD, entropy, clusters) to model market stress and adaptive risk.
Designed for forward-looking quant traders, IVIS serves as a volatility intelligence backbone for portfolio automation, volatility forecasting, and adaptive stop-loss scaling.
Fully open-source for research and applied strategy development. Not a financial advice. DYOR.
Volume Weighted Volatility RegimeThe Volume-Weighted Volatility Regime (VWVR) is a market analysis tool that dissects total volatility to classify the current market 'character' or 'regime'. Using a Linear Regression model, it decomposes volatility into Trend, Residual (mean-reversion), and Within-Bar (noise) components.
Key Features:
Seven-Stage Regime Classification: The indicator's primary output is a regime value from -3 to +3, identifying the market state:
+3 (Strong Bull Trend): High directional, upward volatility.
+2 (Choppy Bull): Moderate upward trend with noise.
+1 (Quiet Bull): Low volatility, slight upward drift.
0 (Neutral): No clear directional bias.
-1 (Quiet Bear): Low volatility, slight downward drift.
-2 (Choppy Bear): Moderate downward trend with noise.
-3 (Strong Bear Trend): High directional, downward volatility.
Advanced Volatility Decomposition: The regime is derived from a three-component volatility model that separates price action into Trend (momentum), Residual (mean-reversion), and Within-Bar (noise) variance. The classification is determined by comparing the 'Trend' ratio against the user-defined 'Trend Threshold' and 'Quiet Threshold'.
Dual-Level Analysis: The indicator analyzes market character on two levels simultaneously:
Inter-Bar Regime (Background Color): Based on the main StdDev Length, showing the overall market character.
Intra-Bar Regime (Column Color): Based on a high-resolution analysis within each single bar ('Intra-Bar Timeframe'), showing the micro-structural character.
Calculation Options:
Statistical Model: The 'Estimate Bar Statistics' option (enabled by default) uses a statistical model ('Estimator') to perform the decomposition. (Assumption: In this mode, the Source input is ignored, and an estimated mean for each bar is used instead).
Normalization: An optional 'Normalize Volatility' setting calculates an Exponential Regression Curve (log-space).
Volume Weighting: An option (Volume weighted) applies volume weighting to all volatility calculations.
Multi-Timeframe (MTF) Capability: The entire dual-level analysis can be run on a higher timeframe (using the Timeframe input), with standard options to handle gaps (Fill Gaps) and prevent repainting (Wait for...).
Integrated Alerts: Includes 22 comprehensive alerts that trigger whenever the 'Inter-Bar Regime' or the 'Intra-Bar Regime' crosses one of the key thresholds (e.g., 'Regime crosses above Neutral Line'), or when the 'Intra-Bar Dominance' crosses the 50% mark.
Caution: Real-Time Data Behavior (Intra-Bar Repainting) This indicator uses high-resolution intra-bar data. As a result, the values on the current, unclosed bar (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final after the main chart bar has closed.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Volume Weighted Intra Bar LR Standard DeviationThis indicator analyzes market character by providing a detailed view of volatility. It applies a Linear Regression model to intra-bar price action, dissecting the total volatility of each bar into three distinct components.
Key Features:
Three-Component Volatility Decomposition: By analyzing a lower timeframe ('Intra-Bar Timeframe'), the indicator separates each bar's volatility into:
Trend Volatility (Green/Red): Volatility explained by the intra-bar linear regression slope (Momentum).
Residual Volatility (Yellow): Volatility from price oscillating around the intra-bar trendline (Mean-Reversion).
Within-Bar Volatility (Blue): Volatility derived from the range of each intra-bar candle (Noise/Choppiness).
Layered Column Visualization: The indicator plots these components as a layered column chart. The size of each colored layer visually represents the dominance of each volatility character.
Dual Display Modes: The indicator offers two modes to visualize this decomposition:
Absolute Mode: Displays the total standard deviation as the column height, showing the absolute magnitude of volatility and the contribution of each component.
Normalized Mode: Displays the components as a 100% stacked column chart (scaled from 0 to 1), focusing purely on the percentage ratio of Trend, Residual, and Noise.
Calculation Options:
Statistical Model: The 'Estimate Bar Statistics' option (enabled by default) uses a statistical model ('Estimator') to perform the decomposition. (Assumption: In this mode, the Source input is ignored, and an estimated mean for each bar is used instead).
Normalization: An optional 'Normalize Volatility' setting calculates an Exponential Regression Curve (log-space).
Volume Weighting: An option (Volume weighted) applies volume weighting to all intra-bar calculations.
Multi-Component Pivot Detection: Includes a pivot detector that identifies significant turning points (highs and lows) in both the Total Volatility and the Trend Volatility Ratio. (Note: These pivots are only plotted when 'Plot Mode' is set to 'Absolute').
Note on Confirmation (Lag): Pivot signals are confirmed using a lookback method. A pivot is only plotted after the Pivot Right Bars input has passed, which introduces an inherent lag.
Multi-Timeframe (MTF) Capability:
MTF Analysis: The entire intra-bar analysis can be run on a higher timeframe (using the Timeframe input), with standard options to handle gaps (Fill Gaps) and prevent repainting (Wait for...).
Limitation: The Pivot detection (Calculate Pivots) is disabled if a Higher Timeframe (HTF) is selected.
Integrated Alerts: Includes 9 comprehensive alerts for:
Volatility character changes (e.g., 'Character Change from Noise to Trend').
Dominant character emerging (e.g., 'Bullish Trend Character Emerging').
Total Volatility pivot (High/Low) detection.
Trend Volatility pivot (High/Low) detection.
Caution! Real-Time Data Behavior (Intra-Bar Repainting) This indicator uses high-resolution intra-bar data. As a result, the values on the current, unclosed bar (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final after the main chart bar has closed.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Volume Weighted Intra Bar Standard DeviationThis indicator provides a high-resolution analysis of market volatility by dissecting each bar on the chart into its fundamental components. It uses data from a lower, intra-bar timeframe to separate the total volatility of a single bar into its 'directional' and 'non-directional' parts.
Key Features:
Intra-Bar Volatility Decomposition: For each bar on the chart, the indicator analyzes the underlying price action on a smaller timeframe ('Intra-Bar Timeframe') and quantifies two types of volatility:
Between-Bar Volatility (Directional): Calculated from price movements between the intra-bar candles. This component represents the directional, trending price action within the main bar.
Within-Bar Volatility (Non-Directional): Calculated from price fluctuations inside each intra-bar candle. This component represents the choppy, noisy, or ranging price action.
Dual Display Modes: The indicator offers two modes to visualize this information:
Absolute Mode: Plots the total standard deviation as a stacked column chart, showing the absolute magnitude of volatility and the contribution of each component.
Normalized Mode: Plots the components as a 100% stacked column chart (scaled from 0 to 1), focusing purely on the percentage ratio of 'between-bar' (trending) and 'within-bar' (choppy) volatility.
Calculation Options:
Statistical Model: The 'Estimate Bar Statistics' option (enabled by default) uses a statistical model ('Estimator') to perform the decomposition. (Assumption: In this mode, the Source input is ignored, and an estimated mean for each bar is used instead).
Normalization: An optional 'Normalize Volatility' setting calculates volatility in percentage terms (log-space).
Volume Weighting: An option (Volume weighted) applies volume weighting to all intra-bar volatility calculations.
Volatility Pivot Detection: Includes a built-in pivot detector that identifies significant turning points (highs and lows) in the total volatility line. (Note: This is only visible in 'Absolute Mode').
Note on Confirmation (Lag): Pivot signals are confirmed using a lookback method. A pivot is only plotted after the Pivot Right Bars input has passed, which introduces an inherent lag.
Multi-Timeframe (MTF) Capability:
MTF Analysis Lines: The entire intra-bar analysis can be run on a higher timeframe (using the Timeframe input), with standard options to handle gaps (Fill Gaps) and prevent repainting (Wait for...).
Limitation: The Pivot detection (Calculate Pivots) is disabled if a Higher Timeframe (HTF) is selected.
Integrated Alerts: Includes 6 alerts for:
Volatility character changes (e.g., 'Character Change from Choppy to Trend').
Dominant character emerging (e.g., 'Trend Character Emerging').
Total Volatility pivot (High/Low) detection.
Caution: Real-Time Data Behavior (Intra-Bar Repainting) This indicator uses high-resolution intra-bar data. As a result, the values on the current, unclosed bar (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final after the main chart bar has closed.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Volume Weighted LR Standard DeviationThis indicator analyzes market character by decomposing total volatility into three distinct, interpretable components based on a Linear Regression model.
Key Features:
Three-Component Volatility Decomposition: The indicator separates volatility based on the 'Estimate Bar Statistics' option.
Standard Mode (Estimate Bar Statistics = OFF): Calculates volatility based on the selected Source (dies führt hauptsächlich zu 'Trend'- und 'Residual'-Volatilität).
Decomposition Mode (Estimate Bar Statistics = ON): The indicator uses a statistical model ('Estimator') to calculate within-bar volatility. (Assumption: In this mode, the Source input is ignored, and an estimated mean for each bar is used instead). This separates volatility into:
Trend Volatility (Green/Red): Volatility explained by the regression's slope (Momentum).
Residual Volatility (Yellow): Volatility from price oscillating around the regression line (Mean-Reversion).
Within-Bar Volatility (Blue): Volatility from the high-low range of each bar (Noise/Choppiness).
Dual Display Modes: The indicator offers two modes to visualize this decomposition:
Absolute Mode: Displays the total standard deviation as a stacked area chart, partitioned by the variance ratio of the three components.
Normalized Mode: Displays the direct variance ratio (proportion) of each component relative to the total (0-1), ideal for identifying the dominant market character.
Calculation Options:
Normalization: An optional 'Normalize Volatility' setting calculates an Exponential Regression Curve (log-space), making the analysis suitable for growth assets.
Volume Weighting: An option (Volume weighted) applies volume weighting to all regression and volatility calculations.
Multi-Component Pivot Detection: Includes a pivot detector that identifies significant turning points (highs and lows) in both the Total Volatility and the Trend Volatility Ratio. (Note: These pivots are only plotted when 'Plot Mode' is set to 'Absolute').
Note on Confirmation (Lag): Pivot signals are confirmed using a lookback method. A pivot is only plotted after the Pivot Right Bars input has passed, which introduces an inherent lag.
Multi-Timeframe (MTF) Capability:
MTF Volatility Lines: The volatility lines can be calculated on a higher timeframe, with standard options to handle gaps (Fill Gaps) and prevent repainting (Wait for...).
Limitation: The Pivot detection (Calculate Pivots) is disabled if a Higher Timeframe (HTF) is selected.
Integrated Alerts: Includes 9 comprehensive alerts for:
Volatility character changes (e.g., 'Character Change from Noise to Trend').
Dominant character emerging (e.g., 'Bullish Trend Character Emerging').
Total Volatility pivot (High/Low) detection.
Trend Volatility pivot (High/Low) detection.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Volume Weighted Standard DeviationThis indicator calculates the Standard Deviation and decomposes total volatility into its core components, allowing to analyze the underlying character of the market.
Key Features:
Volatility Decomposition: The indicator separates volatility based on the 'Estimate Bar Statistics' option.
Standard Mode (Estimate Bar Statistics = OFF): Calculates a simple (Volume-Weighted) Standard Deviation of the selected Source.
Decomposition Mode (Estimate Bar Statistics = ON): The indicator uses a statistical model ('Estimator') to calculate within-bar volatility (choppiness, noise) and between-bar volatility (trending moves). (Assumption: In this mode, the Source input is ignored, and an estimated mean for each bar is used instead).
Dual Display Modes: The indicator offers two modes to visualize this information:
Absolute Mode: Plots the total standard deviation as a stacked area chart, showing the proportional contribution of the 'Between' and 'Within' components.
Normalized Mode: Plots the direct ratio of each component's variance (from 0 to 1), making it easy to identify which character is dominant.
Calculation Options: The volatility calculation can be optionally Volume weighted. An optional Normalize Volatility setting performs the calculation in logarithmic space, making volatility comparable across different price scales.
Volatility Pivot Detection: Includes a built-in pivot detector that identifies significant turning points (highs and lows) in the total volatility line. (Note: This is only visible in 'Absolute Mode').
Note on Confirmation (Lag): Pivot signals are confirmed using a lookback method. A pivot is only plotted after the Pivot Right Bars input has passed, which introduces an inherent lag.
Multi-Timeframe (MTF) Capability:
MTF Volatility Lines: The volatility lines can be calculated on a higher timeframe, with standard options to handle gaps (Fill Gaps) and prevent repainting (Wait for...).
Limitation: The Pivot detection (Calculate Pivots) is disabled if a Higher Timeframe (HTF) is selected.
Integrated Alerts: Includes 6 alerts for:
Volatility character changes (e.g., 'Trend Character Emerging', 'Character Change from Trend to Choppy').
Volatility pivot (high or low) detection.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Volume Weighted Average True RangeThis indicator calculates a customizable version of the Average True Range (ATR), a tool for measuring market volatility. It enhances the standard ATR with volume weighting, a dual-smoothing process, normalization, and volatility pivot detection.
Key Features:
Volume Weighting: An option (Volume weighted) allows for volume to be incorporated into the volatility calculation. This provides a measure of "volume-adjusted" volatility that is more responsive to significant market activity.
Dual Smoothing Process: For noise reduction, the indicator employs a two-stage smoothing process. It first calculates a smoothed True Range (TR) over a user-defined period (TR Length) before applying the final ATR moving average (ATR Length & ATR Smooth).
Normalization (Percentage Volatility): An optional 'Normalize' mode calculates the ATR as a percentage of the price. This allows for consistent volatility comparison across different assets and over long time periods.
Volatility Pivot Detection: The indicator includes a built-in pivot detector that identifies significant turning points (highs and lows) in the ATR line itself, signaling potential shifts in volatility.
Note on Confirmation (Lag): Pivot signals are confirmed using a lookback method. A pivot is only plotted after the Pivot Right Bars input has passed. This is essential for ensuring the signal is non-repainting but introduces an inherent lag.
Multi-Timeframe (MTF) Capability:
MTF ATR Line: The ATR line itself can be calculated on a different timeframe, with standard options to handle gaps (Fill Gaps) and prevent repainting (Wait for...).
Limitation: The Pivot detection (Calculate Pivots) is disabled if a Higher Timeframe (HTF) is selected.
Integrated Alerts: Includes alerts that trigger when a new volatility pivot (high or low) is detected in the ATR line.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Volume Weighted Bollinger BandsThis indicator provides a customizable version of Bollinger Bands, enhanced with optional volume weighting and a method for decomposing market volatility.
Key Features:
Volatility Decomposition: The indicator's primary feature is its ability to separate total volatility, controlled by the 'Estimate Bar Statistics' option.
Standard Mode (Estimate Bar Statistics = OFF): The indicator functions as a customizable Bollinger Band. It calculates the standard deviation of the user-selected Source and plots a single set of bands.
Decomposition Mode (Estimate Bar Statistics = ON): The indicator uses a statistical model ('Estimator') to calculate within-bar volatility. (Assumption: In this mode, the Source input is ignored, and an estimated mean for each bar is used instead). This mode displays two sets of bands:
Inner Bands: Show only the contribution of the 'between-bar' volatility.
Outer Bands: Show the total volatility (the sum of between-bar and within-bar components).
Customizable Construction: The indicator is a hybrid:
Basis Line: The central line is calculated using a selectable Moving Average type (e.g., EMA, SMA, WMA).
Volume Weighting: An option (Volume weighted) allows for volume to be incorporated into the calculation of both the basis MA and the volatility decomposition.
Logarithmic Scaling: An optional 'Normalize' mode calculates the bands on a logarithmic scale. This results in bands that maintain a constant percentage distance from the basis, suitable for analyzing exponential markets.
Multi-Timeframe (MTF) Engine: The indicator includes an MTF conversion block. When a Higher Timeframe (HTF) is selected, advanced options become available: Fill Gaps handles data gaps, and Wait for timeframe to close prevents repainting by ensuring the indicator only updates when the HTF bar closes.
Integrated Alerts: Includes a full set of built-in alerts for the source price crossing over or under the central MA line and the outermost calculated volatility band.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Firex Data Trade 5* SetupIdentifies Boring, Quiet, No Supply / No Demand candles. "
               + "Highlights potential 5★ setups for trading confirmation when price breaks candle highs/lows. "
               + "Helps traders spot low-volume turning points and breakout opportunities
Volume Weighted Keltner ChannelThis indicator provides a customizable implementation of Keltner Channels (KC), a volatility-based envelope designed to identify trend direction and potential reversal or breakout zones. It allows deep control over its core components and calculation methods.
Key Features:
Customizable Components: This implementation allows for full control over the channel's construction:
Basis Line: Choose from a wide range of moving average types (e.g., EMA, SMA, WMA) for the central line.
Volatility Bands: Select the volatility measure used to construct the bands: Average True Range (ATR), True Range (TR), or bar Range (High-Low).
Volume Weighting: An option (Volume weighted) allows for volume to be incorporated into the calculation of both the basis moving average and the selected volatility measure (e.g., creating a Volume-Weighted ATR). This makes the channel more responsive to moves backed by high market participation.
Logarithmic Scaling: The indicator includes an optional 'Normalize' mode that calculates the channel on a logarithmic scale. This creates bands that represent a constant percentage distance from the basis, making it a suitable tool for analyzing long-term trends in exponential markets.
Multi-Timeframe (MTF) Engine: The indicator includes an MTF conversion block. When a Higher Timeframe (HTF) is selected, advanced options become available: Fill Gaps handles data gaps, and Wait for timeframe to close prevents repainting by ensuring the indicator only updates when the HTF bar closes.
Integrated Alerts: Includes a full set of built-in alerts for the source price crossing over or under the upper band, lower band, and the central basis line.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Crypto Futures Basis Tracker (Annualized)🧩 What is Basis Arbitrage 
 Basis arbitrage  is a market-neutral trading strategy that exploits the price difference between a cryptocurrency’s spot and its futures markets.
 
 When futures trade above spot (called contango), traders can buy spot and short futures, locking in a potential yield.
 When futures trade below spot (backwardation), the reverse applies — short spot and go long futures.
 
The yield earned (or cost paid) by holding this position until expiry is called the basis. Expressing it as an annualized percentage allows comparison across different contract maturities.
 ⚙️ How the Indicator Works 
This tool calculates the annualized basis for up to 10 cryptocurrency futures against a chosen spot price.
 
  You select one  spot symbol  (e.g., BITSTAMP:BTCUSD) and up to  10 futures symbols  (e.g., DERIBIT:BTCUSD07X2025, DERIBIT:BTCUSD14X2025, etc.).
  The script automatically computes the days-to-expiry (DTE) and the annualized basis for each future.
  A table displays for each contract: symbol, expiry date, DTE, last price, and annualized basis (%) — making it easy to compare the forward curve across maturities.
 
 ⚠️ Risks and Limitations 
While basis arbitrage is often considered low-risk, it’s not risk-free:
 
 Funding and financing costs  can erode returns, especially when borrowing or using leverage.
 Exchange or counterparty risk  — if one leg of the trade fails (e.g., exchange default, margin liquidation), the hedge breaks.
 Execution and timing risk  — the basis can tighten or invert before both legs are opened.
 Liquidity differences   — thin futures may have large bid-ask spreads or slippage.
 
Use this indicator for analysis and monitoring, not as an automated trading signal.
 Disclaimer:   Please remember that past performance may not be indicative of future results. Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting. This post and the script don't provide any financial advice.
Halt-Risk Guard (5-min / 10%) — TTP Safe🛑 Halt-Risk Guard (5-min / 10%) — TTP Safe
Stay clear of halts, invalidations, and over-extended moves.
🔍 Overview
The Halt-Risk Guard helps traders avoid sudden invalidations by monitoring price velocity over the past X minutes (default: 5 min) and flagging when moves exceed a configurable threshold (default: 10%).
Originally built to meet Trade The Pool (TTP) risk-management rules — where even non-halted 10% moves can void trades — this tool provides a clear, visual warning system and optional entry blocker.
⚙️ Key Features
✅ Halt-Risk Detection – Calculates both reference-based and swing-based (high↔low) percentage change over the chosen lookback period.
✅ TTP Safe Mode – “Swing mode” captures extreme volatility spikes that may invalidate trades even when the market stays open.
✅ Entry Blocker (optional) – Automatically greys candles and dims the background during risky conditions to prevent impulsive entries.
✅ Customisable Positioning – Move the on-chart info box to any corner of your chart (Top Left / Top Right / Bottom Left / Bottom Right).
✅ Clean Alerts –
⚠️ At/Above Threshold
✅ Back to Safe
⛔ Entry Blocker Active
✅ Visual Table Display – Compact dashboard shows current % move, lookback window, and threshold with intuitive green/red status.
✅ Strategy-Ready Output – A hidden 0/1 plot lets you block or filter trades in automated systems.
⚡ How It Works
Monitors the selected symbol using your chosen computation timeframe (recommended 1-minute).
Evaluates either:
REF mode: Close-to-close change over the lookback window.
SWING mode: High-to-low range within the same window.
If the move ≥ Threshold %, the script highlights a halt-risk condition and optionally activates the entry blocker.
🎨 Recommended Settings
Lookback: 5 minutes
Threshold: 10 %
Swing mode: ON (TTP-safe)
Computation timeframe: 1 minute
Entry blocker: ON
Dim background: ON
🧠 Use Cases
TTP and other prop-firm evaluations enforcing price-movement limits.
Volatility-based scalping systems to avoid chasing extended candles.
Strategy filters for algorithmic entries (e.g. pause trading during halt-risk windows).
⚠️ Disclaimer
This tool provides visual and alert-based guidance only. It does not guarantee compliance with any specific firm’s rules or eliminate trading risk. Always verify thresholds and rules with your broker or evaluation provider.
Volatility Resonance CandlesVolatility Resonance Candles  visualize the dynamic interaction between price acceleration, volatility, and volume energy.
They’re designed to reveal moments when volatility expansion and directional momentum resonate — often preceding strong directional moves or reversals.
🔬  Concept 
Traditional candles display direction and range, but they miss the energetic structure of volatility itself.
This indicator introduces a resonance model, where ATR ratio, price acceleration, and volume intensity combine to form a composite signal.
* ATR Resonance: compares short-term vs. long-term volatility
* Acceleration: captures the rate of price change
* Volume Energy: reinforces the move’s significance
When these components align, the candle color “resonates” — brighter, more intense candles signal stronger volatility–momentum coupling.
⚙️  Features 
* Adaptive Scaling
Normalizes energy intensity dynamically across a user-defined lookback period, ensuring consistency in changing market conditions.
* Power-Law Transformation
Optional non-linear scaling (gamma) emphasizes higher-energy events while keeping low-intensity noise visually subdued.
* Divergence Mode
When enabled, colors can invert to highlight energy divergence from candle direction (e.g., bearish pressure during bullish closes).
* Customizable Styling
Full control over bullish/bearish base colors, transparency scaling, and threshold sensitivity.
🧠  Interpretation 
* Bright / High-Intensity Candles → Strong alignment of volatility and directional energy.
Often signals the resonant phase of a move — acceleration backed by volatility expansion and volume participation.
* Dim / Low-Intensity Candles → Energy dispersion or consolidation.
These typically mark quiet zones, pauses, or inefficient volatility.
* Opposite-Colored Candles (if divergence mode on) → Potential inflection zones or hidden stress in the trend structure.
⚠️ Disclaimer
This script is for educational purposes only.
It does not constitute financial advice, and past performance is not indicative of future results. Always do your own research and test strategies before making trading decisions.
Murrey Math SMA up to 32s Murrey Math SMA up to 32s   is a highly advanced Pine Script v5 indicator that combines Murrey Math Lines (MML) with a customizable moving average (MA) — including a non-repainting Rolling VWAP (RVWAP) — and dynamic color-coded support/resistance bands up to 1/32 subdivisions.  It projects octave-based geometric price levels (like Gann) centered on your chosen MA, with adaptive scaling, angle-based trend coloring, and absolute/extended MML bands. Includes 1/8, 1/16, and 1/32 grid lines, shaded zones, labels, and a live increment display.Core FeaturesFeature
Description
MA Types
SMA, VWMA, VWAP, Period VWAP, RVWAP (rolling VWAP over fixed or adaptive time window)
Murrey Math Grid
Auto-scaled 0/8 to 8/8 + extensions (±3/8), with 1/16 & 1/32 subdivisions
Dynamic Coloring
Bands colored by MA slope angle (bullish/bearish) or absolute MML shift
RVWAP Engine
Non-repainting volume-weighted average over user-defined or adaptive time steps
Wick Filtering
Optional ignore wicks for cleaner MML framing
Resolution Support
Works with higher timeframe data via request.security()
Key Use Cases Use Case
How to Use
1. Precision Support & Resistance
Treat 4/8 (mid) as pivot, 0/8 & 8/8 as extremes. Price often reverses or accelerates at these levels.
2. Mean Reversion Trades
Buy near 0/8–1/8 (oversold), sell near 7/8–8/8 (overbought) when MA is flat or sloping mildly.
3. Trend Continuation
When MA angle > threshold and price breaks 5/8, expect move to 8/8. Confirm with volume.
4. Breakout Entries
Watch for close beyond 8/8 or 0/8 + MA angle steep → strong momentum breakout.
5. Scalping with 1/32 Grid
Use 1/32 lines as micro-targets in ranging markets or after news spikes.
6. Volume-Weighted Fair Value
RVWAP = true average price paid over time → anchor for institutional fair value.
Visual Layout (MA-Centered)
+3/8   ───┐
+2/8   ───┤  ← Strong resistance
+1/8   ───┤
8/8    ███┤  ← Overbought (red zone)
7/8    ───┤
6/8    ███┤
5/8    ───┤
4/8    ███┤  ← Midline (pivot)
3/8    ───┤
2/8    ███┤
1/8    ───┤
0/8    ███┤  ← Oversold (green zone)
-1/8   ───┤
-2/8   ───┤
-3/8   ───┘
Shaded: 0/8–1/8 (buy), 7/8–8/8 (sell), 3/8–5/8 (neutral/consolidation)  
MA Line: Orange (RVWAP) or hidden  
Labels: Bottom, 1/4, Mid, 3/4, Top (offset to the right)  
Table: Shows current Increment size
Best For  Swing & scalp traders on stocks, forex, crypto  
Volume-based strategies (RVWAP shines in high-volume moves)  
Gann/Murrey Math enthusiasts wanting automation + modern MA anchoring
Uptrick: Volume Weighted BandsIntroduction 
 This indicator, Uptrick: Volume Weighted Bands, overlays dynamic, volume-informed trend channels directly on the chart. By fusing price and volume data through volume-weighted and exponential moving averages, the script forms a core trend line with adaptive bandwidth controlled by volatility. It is designed to help traders identify trend direction, breakout entries, and extended conditions that may warrant take-profits or pullback re-entries.
 Overview 
 The Volume Weighted Bands system is built around a trend line calculated by averaging a Volume Weighted Moving Average (VWMA) and an Exponential Moving Average (EMA), both over a configurable lookback period. This hybrid trend baseline is then smoothed further and expanded into dynamic upper and lower bands using an Average True Range (ATR) multiplier. These bands adapt with market volatility and shift color based on prevailing price action, helping traders quickly identify bullish, bearish, or neutral conditions.
 Originality and Unique Features 
 This script introduces originality by blending both price and volume in the core trend calculation, a technique that is more responsive than traditional moving average bands. Its multi-mode visualization (cloud, single-band, or line-only), combined with selective buy/sell signals, makes it flexible for discretionary and algorithmic strategies alike. Optional modules for take-profit signals based on z-score deviation and RSI slope, as well as buy-back detection logic with cooldown filters, offer practical tools for managing trades beyond simple entries.
 Explanation of Inputs 
 Every user input in this script is included to give the trader control over behavior and visual presentation:
 
 Trend Length (len): Defines the lookback window for both the VWMA and EMA, controlling the sensitivity of the core trend baseline. A lower value makes the bands more reactive, while a higher value smooths out short-term noise.
 Extra Smoothing (smoothLen): Applies an additional EMA to the blended VWMA/EMA average. This second-level smoothing ensures the central trend line reacts gradually to shifts in price.
 Band Width (ATR Multiplier) (bandMult): Multiplies the ATR to create the width of the upper and lower bands around the trend line. Larger values widen the bands, capturing more volatility, while smaller values narrow them.
 ATR Length (atrLen): Sets the length of the ATR used in calculating band width and signal offsets. Longer values produce smoother band boundaries.
 Show Buy/Sell Signals (showSignals): Toggles the primary crossover/crossunder entry signals, which are labeled when the close crosses the upper or lower band.
 Visual Mode (visualMode): Allows selection between three display modes:
--> Cloud: Shows both bands and the central trend line with a shaded background.
  
--> Single Band: Displays only the active (upper or lower) band depending on trend state, with gradient fill to price.
  
--> Line Only: Shows only the trend line for a minimal visual profile.
  
 Take Profit Signals (enableTP): Enables a z-score-based profit-taking signal system. Signals occur when price deviates significantly from the trend line and RSI confirms exhaustion.
 TP Z-Score Threshold (tpThreshold): Sets the z-score deviation required to trigger a take-profit signal. Higher values reduce the frequency of signals, focusing on more extreme moves.
 Re-Entries (enableBuyBack): Enables logic to signal when price reverts into the band after an initial breakout, suggesting a possible re-entry or pullback setup.
 Buy Back Cooldown (bars) (buyBackCooldown): Defines a minimum bar count before a new buy-back signal is allowed, preventing rapid retriggering in choppy conditions.
 Buy Offset and Sell Offset: Hidden inputs used to vertically adjust the placement of the Buy ("𝓤𝓹") and Sell ("𝓓𝓸𝔀𝓷") labels relative to the bands. These use ATR units to maintain proportionality across different instruments and timeframes.
 
 Take-Profit Signal Module 
 The take-profit module uses a z-score of the distance between price and the trend line to detect extended conditions. In bullish trends, a signal appears when price is well above the band and RSI indicates exhaustion; the opposite applies for bearish conditions. A boolean flag is used to prevent retriggering until RSI resets. These signals are plotted with minimalist “X” markers near recent highs or lows, based on whether the market is extended upward or downward.
  
 Re-Entry Logic 
 The re-entry system identifies instances where price momentarily dips or spikes into the opposite band but closes back inside, implying a continuation of the prevailing trend. This module can be particularly useful for traders managing entries after brief pullbacks. A built-in cooldown period helps filter out noise and prevents signal overloading during fast markets. Visual markers are shown as upward or downward arrows near the relevant candle wicks.
  
 How to Use This Indicator 
 The basic usage of this indicator follows a directional, signal-driven approach. When a buy signal appears, it suggests entering a long position. The recommended stop loss placement is below the lower band, allowing for some breathing space to accommodate natural volatility. As the position progresses, take partial profits—typically 10% to 15% of the position—each time a take-profit signal (marked with an "X") is shown on the chart.
An optional feature is the buy-back signal, which can be used to re-enter after partial exits or missed entries. Utilizing this can help reduce losses during false breakouts or trend reversals by scaling in more gradually. However, it also means that in strong, clean trends, the full position may not be captured from the start, potentially reducing the total return. It is up to the trader to decide whether to enter fully on the initial signal or incrementally using buy-backs.
When a sell signal appears, the strategy advises fully exiting any long positions and immediately switching to a short position. The short trade follows the same logic: place your stop loss above the upper band with some margin, and again, take partial profits at each take-profit signal.
  
 Visual Presentation and Signal Labels 
 All signals are plotted with clean, minimal labels that avoid clutter, and are color-coded using a custom palette designed to remain clear across light and dark chart themes. Bullish trends are marked in teal and bearish trends in magenta. Candles and wicks are also colored accordingly to align price action with the detected trend state. Buy and sell entries are marked with "𝓤𝓹" and "𝓓𝓸𝔀𝓷" labels.
 Summary 
 In summary, the Uptrick: Volume Weighted Bands indicator provides a versatile, visually adaptive trend and volatility tool that can serve multiple styles of trading. Through its integration of price, volume, and volatility, along with modular take-profit and buy-back signaling, it aims to provide actionable structure across a range of market conditions.
 Disclaimer 
 This indicator is for educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always test strategies before applying them in live markets.






















