Volatility & Momentum Strength Panel
This indicator provides a quick snapshot of daily market activity. It displays:
ATR (Average True Range): average volatility over a user-defined period.
Range: difference between daily high and low, showing current session’s movement.
Diff %: percentage change from open to close, highlighting bullish or bearish bias.
Movement Strength: color-coded label (Strong, Normal, Weak) based on comparison between daily range and ATR.
This helps traders quickly assess the strength and nature of the current move (volatile breakout, normal session, or weak/quiet session).
Bands and Channels
8 SMA Bands (Points)The "8 SMA Bands (Points)" indicator creates a set of eight Simple Moving Average (SMA) bands with adjustable offsets, overlaid on a price chart.
Here’s a breakdown:
Purpose: It tracks price trends using multiple SMAs of varying lengths (default 25, 50, 100, 200, 400, 800, 1600 periods) and adds upper and lower bands around each SMA based on point offsets, helping identify potential support, resistance, and trend strength.
Key Components:
SMAs: Eight SMAs are calculated using closing prices with lengths ranging from 25 to 1600 periods. Each SMA is plotted with a distinct color and line thickness (e.g., MA 1 is blue, MA 8 is white with thicker lines).
Bands: For each SMA, upper and lower bands are created by adding or subtracting a point-based offset (suggestions are to use default Murray Math based numbers e.g., 0.305176 for MA 1, 39.062528 for MA 8) multiplied by a global multiplier (default 1.0). These offsets define the band width and are customizable.
Customization: Users can adjust SMA lengths, offset points, colors, and the global multiplier via input settings grouped by each MA.
Visuals: SMAs are plotted as solid lines with increasing thickness for longer periods (e.g., MA 6–8 use thicker lines or circles).
Bands are plotted as semi-transparent lines matching the SMA color, with longer-term bands (MA 6–7) using a different style for emphasis.
Usage: The indicator helps traders visualize trend direction (upward if price is above most SMAs, downward if below) and potential reversal zones where price interacts with band boundaries.
The flattening or crossing of bands can signal momentum shifts. The coming together of multiple envelope tops/bottoms can signal reversal zones of various degrees based on how many envelopes come together. More envelopes converging mean a more significant top or bottom.
This indicator is particularly useful for identifying multi-timeframe trends and volatility zones on assets like Gold Futures, with flexibility to fine-tune based on market conditions.
aaa sibilio 5.5 New 4## **The Fundamental Characteristics of Moving Averages: Theoretical Principles and Strategic Applications**
### **The Non-Parallelism Principle: Mathematical Foundation**
The first fundamental principle governing moving averages establishes that **any moving average can never be parallel to its linear regression**. This is not coincidental or anomalous, but a direct consequence of the mathematical nature of moving averages.
**Theoretical explanation:** A moving average is a low-pass filter that removes high-frequency components from price data, while a linear regression represents the optimal linear trend over the considered period. Since the moving average maintains trace of oscillations around the trend (albeit attenuated), while the regression completely eliminates these oscillations to provide only the general direction, the two curves can never be identical or parallel.
**Crucial implication:** This characteristic certifies that **moving averages always have a curvilinear pattern** relative to their regression. The curvature is not an imperfection in the calculation, but the manifestation of the intrinsic dynamics of market data filtered through the moving average.
### **System Energy: Derivation from Curvature**
It is precisely this curvilinear characteristic that allows us to determine fundamental parameters such as **system energy**.
**Physical basis:** In physics, the potential energy of a curvilinear system is proportional to the deviation from the equilibrium trajectory (represented by the linear regression). In our context:
- **Potential energy** = Distance between moving average and its regression
- **Kinetic energy** = Speed of approach or separation between the two curves
- **Total system energy** = Sum of potential and kinetic energy
**Practical application:** When the moving average moves away from its regression, it accumulates potential energy that must be released. When it approaches rapidly, it manifests kinetic energy that can lead to overshooting the equilibrium point.
### **The Hierarchical Rolling Principle**
The second fundamental principle establishes that **curves roll around each other starting from longer periods toward shorter ones**. This phenomenon has deep roots in dynamical systems theory.
**Theoretical explanation:** Moving averages with longer periods have greater inertia and resistance to change (analogous to mass in physics). When a trend change occurs, it propagates first in long-period averages (which represent the dominant forces of the system), then progressively diffuses toward shorter-period averages.
**Propagation mechanism:**
1. **Macro level** (long averages): Change in direction of principal forces
2. **Medium level** (intermediate averages): Signal transmission
3. **Micro level** (short averages): Final manifestation of the change
### **Derived Strategic Formations**
This hierarchical rolling allows us to identify **important formations** for the strategy:
**Rolling Confluence:** When multiple averages of different periods simultaneously begin the rolling process, a high-probability reversal zone is created.
**Alignment Cascade:** The temporal sequence with which averages roll provides information about the strength and persistence of the imminent movement.
**Dynamic Resistance Zones:** Points where rolling encounters resistance indicate critical levels where opposing forces temporarily balance.
### **Strategic Implications**
These theoretical principles translate into concrete operational advantages:
1. **Energy predictability:** We can quantify the energy accumulated in the system and predict the strength of future movements
2. **Entry timing:** Hierarchical rolling provides a temporal sequence to optimize entry points
3. **Risk management:** Understanding system energy allows proper position sizing
The combination of these two principles - non-parallelism and hierarchical rolling - transforms moving averages from simple trend indicators into sophisticated tools for energetic and dynamic analysis of financial markets.
EMA ± ATR BandsPlot the bands from EMA as potential points where may want to enter/exit on principle that price returns to mean over time.
This script was created using Chat GPT.
EQ + Bandas Pro 📊 EQ + Bands Pro is an advanced indicator built on OHLC analysis. It calculates a synthetic equilibrium price and plots dynamic, robust bands that adapt to volatility while filtering outliers. The tool highlights zones of overvaluation and undervaluation, helping traders identify key imbalances, potential reversals, and trend confirmations.
DTM 444 BANDS 🚀DTM 444 BANDS 🚀:
The DTM 444 BANDS 🚀 is a powerful, multi-purpose trading indicator combining Supertrend, Dynamic Band Levels, Breakout Signals, and Volume Confirmation to help traders identify high-probability trade setups across different timeframes.
🔧 Key Features
✅ Multi-Timeframe Support
Analyze price action across any timeframe using the Timeframe input.
All band calculations (High, Low, Midline, and Supertrend) are pulled from a higher timeframe for clearer context.
✅ Dynamic Bands Based on Supertrend
High Band: Rolling highest of Supertrend over hiLen period.
Low Band: Rolling lowest of Supertrend over loLen period.
Midline: Midpoint of the above.
Acts like dynamic support/resistance, ideal for trend-following and breakout strategies.
✅ Dual Signal System
Breakout Signals (Buy and Sell): Triggered when price breaks the bands with volume confirmation.
Supertrend Crossover Signals (Buy1 and Sell1): Classic momentum entries with a confirmation twist.
Exit Signals: Optional take-profit/neutral indicators when price reverses.
✅ Volume Confirmation Filter (Optional)
Only triggers signals if the volume exceeds its 20-period SMA.
Helps filter out false breakouts and weak trends in low-liquidity periods.
✅ Visual Enhancements
Color-coded candles based on band positioning (e.g., red = weak, green = strong, etc.)
On-chart labels for each signal for quick reference.
Real-time Signal Dashboard using Pine Script tables showing:
Current signal
Volume filter status
Live volume vs volume SMA
🧪 Practical Use Cases
Trend Traders: Use the Supertrend cross and band breakouts to ride trends early.
Breakout Traders: Catch high-probability moves outside established ranges.
Swing Traders: Time entries and exits using color-coded bars and exit labels.
Volume-Sensitive Traders: Focus on trades with strong volume backing.
📊 Backtest Snapshot
Based on the example chart for Reliance Industries (RELIANCE.NS) on the weekly timeframe:
Several profitable buy and breakout signals during uptrends.
Timely exits and breakdown alerts before reversals.
Volume filter keeps trades clean and avoids noise.
⚙️ Customizable Parameters
High Length and Low Length (default: 19)
Supertrend Multiplier and ATR Length
Volume Filter: Toggle ON/OFF
Volume SMA Length: Default 20
Custom Timeframe: Choose any higher timeframe for multi-timeframe analysis
📢 Alerts Ready
Fully integrated with TradingView alerts:
Breakout & Breakdown
Supertrend crossovers
All alerts respect the volume filter setting
🏁 Final Thoughts
DTM 444 BANDS 🚀 is a versatile and adaptive trading system that blends trend analysis, volatility bands, and volume validation. Whether you're a trend trader, breakout hunter, or swing trader — this tool gives you a structured edge with clear visual cues and real-time alerts.
Volume Insight PanelThis smart volume dashboard displays a live panel showing:
🔸 Last candle's volume
🔹 The average volume of the last N candles (user-defined)
⚡ The ratio between current volume and average volume
📈 Price direction compared to average closing price (user-defined period)
Useful for identifying explosive candles, weak moves, or confirming trends.
Ideal for position traders and volume-based strategies.
Natural Gas Intraday Strategy [15m] with Partial Profit & TrailBuy when:
1. Close > EMA 100 and EMA 20 > EMA 100
2. MACD (8,21,5) > Signal and histogram rising
3. RSI > 60
4. ATR > threshold (avoid flat market)
Sell when:
1. Close < EMA 100 and EMA 20 < EMA 100
2. MACD (8,21,5) < Signal and histogram falling
3. RSI < 40
4. ATR > threshold
Exit:
• SL = recent swing ± 0.5 ATR
• TP1 = 1 ATR, trail rest with EMA 20
Harry Dunn Volatility BandsEnter strike price and 2 percentage numbers to automatically calculate and draw volatility bands on chart.
Tragad00TanTechTrades — Trendilo with Moving Average + Divergences (Tragad00)
Inspired by Trendilo, this oscillator reworks the original logic and adds:
A selectable Moving Average (SMA/EMA/WMA/SMMA/VWMA) applied to the oscillator itself
Adaptive bands for overbought/oversold zones
Regular bullish & bearish divergence detection with labels
A full set of alert conditions for signals and state changes
What it does
This indicator transforms price into an ALMA-smoothed percent-change oscillator and compares it to an adaptive volatility band:
Oscillator (avpch)
Computes % change of your chosen Source, optionally smoothed, then smooths it again with ALMA (length, offset, sigma).
Adaptive bands (±rms)
Uses a root-mean-square of the oscillator over a band length (Lookback or custom) scaled by Band Multiplier.
Values above +rms suggest overbought pressure; below −rms suggest oversold pressure.
Trend coloring
Line (and optional bars) turn lime when avpch > +rms, red when avpch < −rms, and gray otherwise.
Optional fill highlights the dominant side.
Overlay MA on the oscillator
A selectable MA of the oscillator (maPlot) helps time signals relative to the Trendilo line.
Regular Divergences
Bullish: price makes a lower low while the oscillator makes a higher low.
Bearish: price makes a higher high while the oscillator makes a lower high.
Lookback windows are configurable and divergence labels are plotted on the oscillator.
Signals & how to read them
Trend Bias
Bull Zone: avpch above +rms (lime)
Bear Zone: avpch below −rms (red)
Neutral: between the bands (gray)
Cross Signals
Long Entry: MA crosses above the Trendilo line (maPlot ↑ over avpch)
Short Entry: MA crosses below the Trendilo line (maPlot ↓ under avpch)
Midline Cross: avpch crossing 0 flags shifts in momentum regime
Divergences
Bullish Divergence label (“Bull”) may mark potential bottoms
Bearish Divergence label (“Bear”) may mark potential tops
Tip: Combine divergence with a subsequent midline cross or MA cross for confirmation.
Alerts included (ready to use)
Overbought / No Longer Overbought
Oversold / No Longer Oversold
Long Entry (MA crosses above Trendilo)
Short Entry (MA crosses below Trendilo)
Midline Cross Up / Midline Cross Down
Bullish Divergence / Bearish Divergence
Set alerts from the “Conditions” menu using the titles above.
Inputs
Core
Source (default: Close)
Smoothing (pre-change smoothing)
Lookback (ALMA length)
ALMA Offset, ALMA Sigma
Band Multiplier
Custom Band Length? + Custom Band Length
Display: Highlight, Fill, Bar Color
Oscillator MA
MA Length
MA Type: SMA / EMA / WMA / SMMA (RMA) / VWMA
Divergences
Pivot Lookback Left / Right
Max/Min Lookback Range (window for valid pivots)
Plot Bullish Divergence / Plot Bearish Divergence
Suggested workflow
Trend context: Use band color (lime/red) to gauge dominant pressure.
Timing: Look for MA ↔ Trendilo crosses in the direction of the current zone.
Reversals: Watch for divergence labels; seek confirmation via midline (0) cross or a band exit.
Risk: Overbought/oversold alerts can warn of exhaustion—tighten stops or scale out.
Notes & credits
Built by TanTechTrades.
Inspired by the Trendilo concept; this version focuses on an ALMA-smoothed percent-change oscillator with adaptive RMS bands, an oscillator MA, and regular divergence detection.
This is a tool, not financial advice. Always combine with price action, structure, and risk management.
ATR Volatility and Trend AnalysisATR Volatility and Trend Analysis
Unlock the power of the Average True Range (ATR) with the ATR Volatility and Trend Analysis indicator. This comprehensive tool is designed to provide traders with a multi-faceted view of market dynamics, combining volatility analysis, dynamic support and resistance levels, and trend detection into a single, easy-to-use indicator.
How It Works
The ATR Volatility and Trend Analysis indicator is built upon the core concept of the ATR, a classic measure of market volatility. It expands on this by providing several key features:
Dynamic ATR Bands: The indicator plots three sets of upper and lower bands around the price. These bands are calculated by multiplying the current ATR value by user-defined multipliers. They act as dynamic support and resistance levels, widening during volatile periods and contracting during calm markets.
Volatility Breakout Signals: Identify potential breakouts with precision. The indicator generates a signal when the current ATR value surges above its own moving average by a specified threshold, indicating a significant increase in volatility that could lead to a strong price move.
Trend Detection: The indicator determines the market trend by analyzing both price action and ATR behavior. A bullish trend is signaled when the price is above its moving average and volatility is increasing. Conversely, a bearish trend is signaled when the price is below its moving average and volatility is increasing.
How to Use the ATR Multi-Band Indicator
Identify Support and Resistance: Use the ATR bands as key levels. Price approaching the outer bands may indicate overbought or oversold conditions, while a break of the bands can signal a strong continuation.
Confirm Breakouts: Look for a volatility breakout signal to confirm the strength behind a price move. A breakout from a consolidation range accompanied by a volatility signal is a strong indicator of a new trend.
Trade with the Trend: Use the background coloring and trend signals to align your trades with the dominant market direction. Enter long positions during confirmed bullish trends and short positions during bearish trends.
Set Up Alerts: The indicator includes alerts for band crosses, trend changes, and volatility breakouts, ensuring you never miss a potential trading opportunity.
What makes it different?
While many indicators use ATR, the ATR Volatility and Trend Analysis tool is unique in its integration of multiple ATR-based concepts into a single, cohesive system. It doesn't just show volatility; it interprets it in the context of price action to deliver actionable trend and breakout signals, making it a complete solution for ATR-based analysis.
Disclaimer
This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management.
Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
AI Agent PRIMEFLOW v1AI Agent PRIMEFLOW v1 — Trend + Breakout + Smart Stops
*By AI Agent Community*
## Overview
PRIMEFLOW v1 is a clean, rules-based signal tool that fires only when **trend + regime + market structure** align.
It combines a **baseline trend**, a **volatility regime filter** (ATR z-score), and **Donchian breakouts**, with **ATR bands** and **Chandelier-style stops** for risk control. Optional **HTF confirmation** keeps entries in sync with higher-timeframe bias.
> Built from public trading concepts (EMA/KAMA/HMA baselines, Donchian breakout, ATR trailing). No proprietary code used.
---
## What it does (3-Layer Confirmation)
1. **Trend** – EMA50/200 relationship + user-selectable baseline (EMA/HMA/KAMA).
2. **Regime** – ATR% z-score filter reduces chop; “Conservative/Balanced/Aggressive” modes adjust threshold.
3. **Structure** – Donchian breakout confirms momentum beyond recent range.
Only when all three align do BUY/SELL labels appear. ATR bands and dynamic stops are plotted for exits and trailing.
---
## Signals & Risk
* **Long**: Trend up (EMA50>EMA200), regime trending, price crosses above baseline **and** breaks the prior Donchian high.
* **Short**: Mirror conditions to the downside.
* **Stops**: Auto-plotted **Long/Short Stop** (ATR-based, Chandelier-style).
* **Targets**: Consider 1.5–2× ATR or ATR bands; keep a runner with trailing stop.
---
## Inputs (key)
* **Signal Mode**: Conservative / Balanced / Aggressive (regime threshold).
* **Use Heikin Ashi Source** (optional smoothing).
* **Structure Lookback (Donchian)**.
* **Volatility Lookback** (for ATR z-score).
* **Baseline Type & Length**: EMA / HMA / KAMA.
* **Trend Filter EMAs**: Fast (default 50) vs Slow (default 200).
* **HTF Confirmation**: set a higher TF (blank = off).
* **ATR Length & Multiplier** (bands & stops).
* **Style toggles**: Bands, regime background, labels.
---
## Recommended Presets
**XAUUSD – M15 (scalping/intraday)**
* Mode: *Balanced* · Baseline: *EMA 50* · Donchian: *20* · ATR: *10 × 2.5* · HTF: *H1*.
**XAUUSD – H1 (intraday)**
* Baseline: *KAMA 50* · Donchian: *25* · ATR: *14 × 2.5* · HTF: *H4*.
**BTCUSDT – H1 (crypto)**
* Baseline: *EMA 100* · Donchian: *30* · ATR: *14 × 2.0* · HTF: *H4* · Mode: *Conservative* in chop.
---
## Alerts (ready)
Create alerts **Once Per Bar Close**:
* **PRIMEFLOW Long** – long entry condition met.
* **PRIMEFLOW Short** – short entry condition met.
* **Trail Flip (Long)** – long trailing stop flips (exit/trim).
* **Trail Flip (Short)** – short trailing stop flips.
Tip: Route alerts to your bot/Telegram/WA webhook. Include placeholders (e.g., `{{ticker}} | {{interval}} | {{close}} | LONG/SHORT | SL: {{plot("Long Stop")}}`).
---
## Best Practices
* Avoid taking breakouts that are **>1.5× ATR** away from baseline (overextended).
* Re-enter on pullbacks while trend & regime remain valid.
* Around high-impact news (NFP/FOMC), wait 15–30 minutes after release.
* Use **HTF 4×** your chart TF (e.g., M15→H1, H1→H4).
---
## Who it’s for
Swing/scalp traders who want higher-quality trend entries with **built-in structure confirmation** and **clear risk lines**, especially on **XAUUSD** and **BTC**.
---
## Notes
* This is an **indicator** (not a strategy). A strategy/backtest version can be provided.
* Educational purposes only. Not financial advice. Trading involves risk.
**Tags:** trend, breakout, ATR, Donchian, chandelier stop, regime filter, XAUUSD, BTC, scalping, intraday, multi-timeframe, heikin ashi
**Changelog**
v1.0 – Initial release: 3-Layer Confirmation, ATR bands/stops, HTF bias, 4 alerts.
3Bars [TheAlphaGroup]3Bars Setup (Original by. Larry Williams)
The “3Bars” is a classic setup from Larry Williams, designed to capture short-term reversals within a larger trend. It uses very simple ingredients: moving averages of the highs and lows.
How It Works
Bands Calculation
– A short moving average (default = 3) is applied separately to the Highs and to the Lows.
– The average of the Lows forms the lower band .
– The average of the Highs forms the upper band .
Trade Logic
– In an uptrend (price above a longer MA, default = 21 EMA or SMA), the system looks for longs.
• Entry: Buy at the lower band.
• Exit: Sell at the upper band.
– In a downtrend (price below the 21 EMA/SMA), the system looks for shorts.
• Entry: Sell at the upper band.
• Exit: Cover at the lower band.
Safety Net
– If the trade doesn’t hit its band exit, it is force-closed after X bars (default = 7).
– Users can select SMA or EMA for both the bands and the trend filter.
– Direction can be toggled: Long only, Short only, or Both.
Why It’s Interesting
The method tries to ride the market “channel” between recent highs and lows.
It doesn’t chase breakouts, it waits for price to pull back into a band before positioning.
It’s rule-based and mechanical, which makes it easy to test and automate.
Disclaimer
This script is for educational and research purposes only .
It is not financial advice and does not guarantee profitability.
Always backtest on multiple markets and timeframes, and use proper risk management.
About the Yellow Warning Box
“Caution! This strategy may use look-ahead bias…”
Note: The warning shows because Pine doesn’t “trust” limit orders that are priced with data from completed bars. The current version is already safe (no repaint/look-ahead) , but TradingView cannot automatically confirm that.
To silence the warning, you’d need to shift all logic by one more bar ( ) or use market orders. But that sacrifices realism.
If you care about accurate band-based fills more than the warning box, it is safe to ignore it.
ADX (Colored by Slope)ADX coloured by slope. If increases it will be green , else red. Default is 28,28.
Futures Time Zones with Session SelectionMark the time period with color to help traders identify the trading range.
BB + Keltner Squeeze (con SL)BB + Keltner Squeeze with Dynamic SL
This indicator combines Bollinger Bands (2σ and optional 3σ) with Keltner Channels to detect phases of volatility compression (squeeze) and their release (expansion).
Squeeze ON (orange dot): Bollinger Bands are inside the Keltner Channel → low volatility / market compression.
Release (green triangle): Bollinger Bands break outside the Keltner Channel → volatility expansion.
Orange background: visually highlights squeeze phases.
Dynamic Stop Loss options:
KC Mode: stop at the opposite Keltner band (wider, good for trend following).
ATRlike Mode: stop based on a multiple of the range (tighter, good for scalping or short swings).
Intended use:
Identify moments when the market is “building energy” and trade breakouts after a release.
Adjust stop losses dynamically according to volatility.
Note: This is not a standalone trading system. It works best when combined with trend confirmation tools (EMA, MACD, market structure, etc.).
VWAP angleVWAP Angle Indicator
The VWAP Angle indicator is a technical analysis tool designed to measure the directional momentum of the Volume Weighted Average Price (VWAP). Rather than simply plotting the VWAP line itself, this indicator calculates the angle of the VWAP's trajectory over a specified lookback period. It converts the slope into degrees using arctangent mathematics, normalized by the Average True Range (ATR) to account for price volatility. The result is a momentum oscillator that ranges from -100 to +100, providing traders with a clear visual representation of whether the VWAP is trending sharply upward, downward, or moving sideways.
The indicator features customizable overbought and oversold zones (defaulting to +65 and -65 respectively) with color-coded bands to help identify potential reversal points or extreme market conditions. A dynamic color gradient transitions from cyan (bullish angles) to orange (bearish angles), making it easy to spot trend changes at a glance. The visualization includes multiple threshold bands at ±65 and ±80 levels, with shaded regions that intensify as the angle reaches extreme values, helping traders identify when momentum may be overextended.
Built-in alert functionality notifies traders when the VWAP angle crosses into overbought or oversold territories, with optional visual labels appearing directly on the indicator panel. This makes it particularly useful for automated trading strategies or for traders who want real-time notifications of potential trend exhaustion or reversal setups. The indicator works best when combined with other technical tools to confirm signals and filter out false alerts during choppy or ranging market conditions.
Regression Channel (ShareScope-style, parallel)What it does
Replicates ShareScope’s Trend of displayed data look: a single straight linear-regression line (dashed) across a chosen window with parallel, constant-width bands above and below, plus optional shading.
Use it to see the overall trend gradient for a period and a statistically sized channel based on the fit’s residual error.
How it works (math, short)
Computes an OLS regression once over the analysis window.
Residual standard error s is derived from SSE and degrees of freedom (n−2).
Band half-width is constant across the window:
Mean CI (narrower): half = z * s / √n
Prediction (wider): half = z * s * √(1 + 1/n)
Three straight, parallel lines are drawn from the regression endpoints; midline is dashed.
This is intentionally not a tapered CI (which widens at the ends). It matches the visual behaviour of ShareScope’s shaded trend line channel.
Inputs
Source – Price series (Close, High, Low, HL2, etc.).
Use last N bars / N (bars) – Rolling window length.
From / To (date mode) – Alternative fixed date window.
Confidence (%) – 90 / 95 / 99 / Custom (uses z≈t).
Custom Z (t) – Override the quantile if desired.
Prediction bands – Use wider prediction envelope instead of mean CI.
Shade region + colors / opacity / line width.
Usage
To mimic ShareScope exactly, pick the same date span (use date mode) and set Confidence 99%.
Choose Prediction OFF for a tighter “confidence” look; ON for a wider, more permissive channel.
If ShareScope used High as source, set Source = High here as well.
Notes & limitations
TradingView does not expose the visible viewport to Pine. The script cannot auto-read “displayed data.” Use last N bars or date range.
Bands are parallel by design. Prices may close outside; the channel does not bend.
Window capped at 5,000 bars for performance. No alerts are emitted.
Differences vs TV’s native tools
Linear Regression (drawing) – manual object; no statistical sizing or shading.
Linear Regression Channel (indicator) – uses price standard deviations around the regression; width is a user stdev multiple.
This script – uses residual error of the OLS fit and a z/t quantile to size a statistically meaningful parallel channel.
Changelog
r3.1 – Guard fix (no return at top level), minor refactor, stable line updates.
r3 – Switched to single-fit OLS with parallel constant-width bands (ShareScope look).
(Earlier experimental builds r1–r2.2 implemented rolling/tapered CI; superseded.)
Disclaimer: Educational use only. Not investment advice.
Dynamic Volume Trace Profile [ChartPrime]⯁ OVERVIEW
Dynamic Volume Trace Profile is a reimagined take on volume profile analysis. Instead of plotting a static horizontal histogram on the side of your chart, this indicator projects dynamic volume trace lines directly onto the price action. Each bin is color-graded according to its relative strength, creating a living “volume skeleton” of the market. The orange trace highlights the current Point of Control (POC)—the price level with maximum historical traded volume within the lookback window. On the right side, the tool builds a mini profile, showing absolute volume per bin alongside its percentage share, where the POC always represents 100% strength .
⯁ KEY FEATURES
Dynamic On-Chart Bins:
The range between highest high and lowest low is split into 25 bins. Each bin is drawn as a horizontal trace line across the lookback chart period.
Gradient Color Encoding:
Trace lines fade from transparent to teal depending on relative volume size. The more intense the teal, the stronger the historical traded activity at that level.
Automatic POC Highlight:
The bin with the highest aggregated volume is flagged with an orange line . This POC adapts bar-by-bar as volume distribution shifts.
Right-Side Volume Profile:
At the chart’s right edge, the script prints a box-style profile. Each bin shows:
• Total volume (absolute units).
• Percentage of max volume, in parentheses (POC bin = 100%).
This gives both raw and normalized context at a glance.
Adjustable Lookback Window:
The lookback defines how many bars feed the profile. Increase for stable HTF zones or decrease for responsive intraday distributions.
POC Toggle & Styling:
Optionally toggle POC highlighting on/off, adjust colors, and set line thickness for better integration with your chart theme.
⯁ HOW IT WORKS (UNDER THE HOOD)
Step Sizing:
over last 100 bars is divided by to calculate bin height.
Volume Aggregation:
For each bar in the , the script checks which bin the close falls into, then adds that bar’s volume to the bin’s counter.
Gradient Mapping:
Bin volume is normalized against the max volume across all bins. That value is mapped onto a gradient from transparent → teal.
POC Logic:
The bin with highest volume is colored orange both on the dynamic trace and in the right-side profile.
Right-Hand Profile:
Boxes are drawn for each bin proportional to volume / maxVolume × 50 units, with text labels showing both absolute volume and normalized %.
⯁ USAGE
Use the orange trace as the dominant “magnet” level—price often gravitates to the POC.
Watch for clusters of strong teal traces as areas of high acceptance; thin or faint zones mark low-liquidity gaps prone to fast moves.
On intraday charts, tighten lookback to reveal session-based distributions . For swing or position trading, expand lookback to surface more durable volume shelves.
Compare the right-side profile % to judge how “top-heavy” or “bottom-heavy” the current distribution is.
Use bright, intense color traces as context for confluence with structure, OBs, or liquidity hunts.
⯁ CONCLUSION
Dynamic Volume Trace Profile takes the traditional volume profile and fuses it into the body of price itself. Instead of a fixed sidebar, you see gradient traces layered directly on the chart, giving real-time context of where volume concentrated and where price may be drawn. With built-in POC highlighting, normalized % readouts, and an adaptive right-side profile, it offers both precision levels and market structure awareness in a cleaner, more intuitive form.
Pivot Trend Flow [BigBeluga]🔵 OVERVIEW
Pivot Trend Flow turns raw swing points into a clean, adaptive trend band. It averages recent pivot highs and lows to form two dynamic reference levels; when price crosses above the averaged highs, trend flips bullish and a green band is drawn; when it crosses below the averaged lows, trend flips bearish and a red band is drawn. During an uptrend the script highlights breakouts of previous pivot highs with ▲ labels, and during a downtrend it flags breakdowns of previous pivot lows with ▼ labels—making structure shifts and continuation signals obvious.
🔵 CONCEPTS
Pivot-Based Averages : Recent pivot highs/lows are collected and averaged to create smoothed upper/lower reference levels.
if not na(ph)
phArray.push(ph)
if not na(pl)
plArray.push(pl)
if phArray.size() > avgWindow
upper := phArray.avg()
phArray.shift()
if plArray.size() > avgWindow
lower := plArray.avg()
plArray.shift()
Trend State via Crosses : Close above the averaged-highs ⇒ bullish trend; close below the averaged-lows ⇒ bearish trend.
Trend Band : A colored band (green/red) is plotted and optionally filled to visualize the active regime around price.
Structure Triggers :
In bull mode the tool watches for prior pivot-high breakouts (▲).
In bear mode it watches for prior pivot-low breakdowns (▼).
🔵 FEATURES
Adaptive Trend Detection from averaged pivot highs/lows.
Clear Visuals : Green band in uptrends, red band in downtrends; optional fill for quick read.
Breakout/Breakdown Labels :
▲ marks breaks of previous pivot highs in uptrends
▼ marks breaks of previous pivot lows in downtrends
Minimal Clutter : Uses compact lines and labels that extend only on confirmation.
Customizable Colors & Fill for trend states and band styling.
🔵 HOW TO USE
Pivot Length : Sets how swing points are detected. Smaller = more reactive; larger = smoother.
Avg Window (pivots) : How many recent pivot highs/lows are averaged. Increase to stabilize the band; decrease for agility.
Read the Band :
Green band active ⇒ prioritize longs, pullback buys toward the band.
Red band active ⇒ prioritize shorts, pullback sells toward the band.
Trade the Triggers :
In bull mode, ▲ on a prior pivot-high break can confirm continuation.
In bear mode, ▼ on a prior pivot-low break can confirm continuation.
Combine with Context : Use HTF trend, S/R, or volume for confluence and to filter signals.
Fill Color Toggle : Enable/disable band fill to match your chart style.
🔵 CONCLUSION
Pivot Trend Flow converts swing structure into an actionable, low-lag trend framework. By blending averaged pivots with clean breakout/breakdown labels, it clarifies trend direction, timing, and continuation spots—ideal as a core bias tool or a confirmation layer in any trading system.