Price Action Scanner (v1)Price Action Scanner 1st addition, This indicator is begging developed using many combination and basing signal in price action and market volume. After years of trading I'm trying to make something simple to trade SPY, IWM and QQQ.
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Liquidation Reversal Signals [AlgoAlpha]🟠 OVERVIEW
This tool detects potential liquidation-driven reversals by combining z-score analysis of up/down volume with the classic Supertrend. It watches for abnormal surges in directional volume (on a lower timeframe) and links them to trend flips on the main chart. When both align within a short window, it flags a probable reversal caused by forced liquidations. The goal is to help traders identify exhaustion points where aggressive liquidation moves may mark the end of a trend leg.
🟠 CONCEPTS
The logic revolves around Z-score normalization of up and down volume to locate statistical extremes. When up-volume z-scores exceed a threshold during a bearish Supertrend, it implies trapped shorts being squeezed; the opposite applies for long liquidations. The script tracks these liquidation spikes and monitors whether a Supertrend regime change follows soon after. If confirmed within the allowed timeout, a colored signal marks the event.
In essence:
Z-score outliers = potential forced liquidations.
Supertrend = structural regime context.
Combined = statistically confirmed reversal signals, not random flips.
This pairing reduces false positives by ensuring that both volatility structure and order-flow extremes agree before flagging a reversal.
🟠 FEATURES
Z-score detection for liquidation spikes with adjustable lookback and threshold.
Confirmation logic linking liquidations to Supertrend flips.
Alerts for liquidation spikes and confirmed reversal starts.
On-chart “No Volume” warning to avoid misreads on illiquid assets.
🟠 USAGE
Setup : Add the script to your main chart. Choose a lower timeframe (default 15m) to capture more granular liquidation flows. Adjust Z-Score Length to control how far back the script measures normal behavior and Threshold to decide what counts as extreme. Keep Timeout Bars low (e.g. 20–50) for faster reversals, or higher for slower markets.
Read the chart :
• Circles appear below bars when long liquidations occur; above bars for short liquidations.
• A Supertrend flip with a recent liquidation spike will display an arrow and color shift.
• Fills between candles and trend lines show which side dominates: green for bullish reversal, red for bearish.
• Candle color fades based on the magnitude of liquidation pressure.
Settings that matter :
• Z-Score Length : Longer smooths noise but delays signal; shorter reacts faster.
• Z-Score Threshold : Higher means only extreme liquidations trigger; lower finds smaller squeezes.
• Timeout Bars : Defines how long after a liquidation the Supertrend flip remains valid.
• Lower Timeframe : Determines the precision of volume readings; too low may increase noise.
SMC Clean: Structure + LiquidityThis indicator provides Smart Money Concepts (SMC) tools designed to help traders analyze market structure, liquidity pools, and institutional trading zones. It combines several popular SMC methods into one powerful, customizable tool, with a clean and controlled chart display.
Features and How it Works:
Swing Highs and Lows: The indicator identifies confirmed swing highs and swing lows using a lookback period (default: 15 bars). These points form the basis for market structure analysis.
Equal Highs/Equal Lows (EQH/EQL): When price action creates repeated swing highs or lows within a defined tolerance, the tool automatically marks these areas as potential liquidity pools. These are levels where multiple stop orders may accumulate, sometimes leading to significant market moves.
Liquidity Lines & Sweeps: Liquidity lines highlight unswept highs and lows, making it easy to see where price may hunt liquidity. When price crosses a swing high/low and closes back, a sweep label is shown (optional).
BOS/CHOCH Detection:
Break of Structure (BOS): Signals a continuation of the current trend if price closes beyond the previous swing point.
Change of Character (CHOCH): Highlights when price reverses and breaks a key swing from the opposite direction, hinting at a potential trend change or shift in market regime.
Only confirmed swing points are considered to avoid repainting.
Premium & Discount Zones Explained:
After a new confirmed swing high and swing low, the area between them forms a “range.”
The premium zone is the upper half (from midpoint to swing high): this is typically considered where price is “expensive” or overvalued for the current swing, and is often watched for potential sell setups.
The discount zone is the lower half (from swing low to midpoint): this is where price is “cheap” or undervalued for the current swing, commonly monitored for potential buy setups.
Colored boxes mark these zones on your chart for instant reference.
Dashboard (Movable Position):
A visually enhanced dark-themed dashboard shows the current market structure (Bullish/Bearish), liquidity bias (Buy-Side, Sell-Side, or Balanced, based on unswept levels), and last swept side (i.e., which liquidity pool was last taken by price).
Dashboard position can be set anywhere on your chart for best visibility.
Customization Options:
Enable/disable any feature individually for a cleaner chart.
Control colors, transparency, and swing sensitivity via user settings.
How to Use:
Add the indicator to your chart and adjust settings to fit your trading style.
Use swing lines and dashboard to determine current market structure and bias.
Watch equal highs/lows and liquidity lines for possible sweep events.
Use the premium/discount zones to locate optimal areas for trade entries—with institutional logic, buy when price reaches the discount (lower) zone, and look for sales in the premium (upper) zone.
Use BOS/CHOCH signals as objective confirmations of trend or regime changes. Always interpret signals in context of broader price action.
Important Notes:
This indicator is educational and analytical—NO signals are guaranteed.
All calculations are non-repainting and use only confirmed price data (no lookahead).
No claims of predicting future price movement or performance are made.
Disclaimer:
This tool is for technical analysis education only. It is not a financial advice nor a guaranteed trading system. Please test all signals and concepts before using in live markets.
Pulsar Trading System-LITE📡 Pulsar Trading System
OVERVIEW
Pulsar is a comprehensive breakout trading system that combines dynamic support/resistance detection, trend filtering, and volume confirmation to identify high-probability entry opportunities. Unlike simple breakout indicators, Pulsar uses multi-timeframe analysis and adaptive ATR-based calculations to filter false signals and provide complete trade management from entry to exit.
WHAT MAKES THIS ORIGINAL
This indicator is unique in its integration of multiple complementary systems:
-Adaptive ATR Zones: Support and resistance levels are not static—they dynamically adjust based on current market volatility (ATR), creating entry zones that expand and contract with market conditions rather than using fixed price levels.
-Multi-Timeframe SuperTrend Filter: The trend filter operates on a higher timeframe than the chart (e.g., 5-minute SuperTrend on a 1-minute chart) to prevent counter-trend trades while maintaining granular entry precision. The visual ribbon with humorous warning text ("🚫 Don't Short - Trend is Your Friend! 📈") provides immediate trend awareness.
-Intelligent Cooldown System: After any trade exit (stop loss or take profit), the system enters a configurable cooldown period, preventing overtrading during choppy or consolidating market conditions—a critical feature often missing in breakout systems.
-Dynamic Trailing Stops: The trailing stop uses ATR multipliers to lock in profits while adapting to volatility, moving only in the favorable direction and never loosening.
-Comprehensive Dashboard: Real-time analysis displays trade status, entry prices, distances to targets in both points and ATR multiples, volume confirmation status, and cooldown countdown.
HOW IT WORKS
Core Detection Logic:
Pulsar identifies breakout opportunities by monitoring price interaction with dynamically calculated support and resistance levels:
Support/Resistance Calculation: Uses ta.lowest() and ta.highest() over a configurable lookback period to identify key levels, then adds ATR-based buffers (0.5 × ATR) to create entry zones.
Breakout Conditions:
Long Entry: Price closes above support buffer AND recent low touched support AND volume exceeds threshold
Short Entry: Price closes below resistance buffer AND recent high touched resistance AND volume exceeds threshold
SuperTrend Filter: A separate higher-timeframe SuperTrend calculation determines overall trend direction. Entries only trigger when breakout direction aligns with SuperTrend (bullish breakout + bullish trend, or bearish breakout + bearish trend).
Volume Confirmation: Current volume must exceed a configurable multiple of the 14-period SMA (default 1.0×) to confirm genuine interest in the breakout.
Cooldown Mechanism: After exit, the system tracks bars elapsed and blocks new signals until the cooldown period completes, preventing rapid-fire entries in ranging markets.
Trade Management:
Stop Loss: Calculated as entry zone ± (ATR × SL Multiplier)
Take Profit 1: Entry zone ± (ATR × TP1 Multiplier)
Take Profit 2: Entry zone ± (ATR × TP2 Multiplier)
Trailing Stop (optional): Updates every bar, moving the stop closer by maintaining distance of (ATR × Trailing Multiplier) from current price, but only in favorable direction
SuperTrend Calculation:
The SuperTrend uses standard methodology:
Upper Band = (High + Low) / 2 + (Multiplier × ATR)
Lower Band = (High + Low) / 2 - (Multiplier × ATR)
Direction changes when price crosses opposite band
The ribbon visualization adds a width offset (ATR × Ribbon Width) to create a filled zone rather than a single line.
HOW TO USE
Setup:
Add Pulsar to your chart (works best on liquid instruments like NQ, ES, CL)
Configure timeframe-specific settings (see recommendations below)
Enable SuperTrend Filter for trend-following mode, or disable for pure breakout mode
Set up alerts for Entry, TP1, TP2, and Stop Loss events
Recommended Settings by Timeframe:
1-Minute Charts:
Lookback Period: 10-15
SuperTrend Timeframe: 5 min
ATR Timeframe: 5 min (for stability)
Cooldown: 8-12 bars
Trailing Stop: Enabled with 0.8-1.0 multiplier
5-Minute Charts:
Lookback Period: 15-20
SuperTrend Timeframe: 15 min
ATR Timeframe: current chart
Cooldown: 5-8 bars
Trailing Stop: Optional
15-Minute+ Charts:
Lookback Period: 20-30
SuperTrend Timeframe: 1 hour
ATR Timeframe: current chart
Cooldown: 3-5 bars
Trailing Stop: Optional
Interpreting Signals:
Long/Short Zone Box: Green (long) or red (short) box appears when breakout conditions are met
Blue Entry Line: Shows your entry price
Red/Orange SL Line: Red = fixed stop, Orange = trailing stop (moves in real-time)
Green TP Lines: TP1 (closer) and TP2 (further) targets
SuperTrend Ribbon: Green = bullish trend (favor longs), Red = bearish trend (favor shorts)
Dashboard Status: Monitor trade state, distances, volume confirmation, and cooldown
Best Practices:
Use SuperTrend Filter: Significantly reduces false signals by avoiding counter-trend trades
Enable Cooldown on Fast Timeframes: Prevents overtrading on 1-5 minute charts
Volume Confirmation is Critical: Don't lower volume multiplier below 0.9 on futures
Use Higher Timeframe ATR: On 1-minute charts, use 5-minute ATR for stability
Avoid Major News Events: Disable during FOMC, NFP, CPI releases
Scale Out Strategy: Consider taking partial profits at TP1, letting remainder run to TP2
Parameter Optimization:
Start conservative and adjust based on results:
Too many stop-outs: Increase SL multiplier or SuperTrend multiplier
Missing good trades: Decrease volume multiplier or cooldown period
Too many false signals: Increase volume multiplier, lookback period, or cooldown
Profits not protected: Enable trailing stop or reduce trailing multiplier
KEY FEATURES
✅ Dynamic ATR-Based Zones: Entry, stop loss, and take profit levels automatically adjust to market volatility
✅ Multi-Timeframe Trend Filter: Uses higher timeframe SuperTrend to eliminate counter-trend trades
✅ Volume Confirmation: Filters low-volume false breakouts
✅ Intelligent Cooldown: Prevents overtrading with configurable post-trade waiting period
✅ Trailing Stop System: Optional dynamic stops that lock in profits using ATR distance
✅ Real-Time Dashboard: 13-row analysis showing trade status, targets, distances, volume, and cooldown
✅ Visual Ribbon Warnings: Humorous trend-following reminders on SuperTrend ribbon
✅ Complete Alert System: Notifications for entries, TP1, TP2, fixed stops, and trailing stops
✅ Customizable Visuals: Adjustable colors, dashboard position, text size, and line lengths
✅ Non-Repainting: Uses lookahead = barmerge.lookahead_off for all multi-timeframe calculations
SETTINGS EXPLAINED
SuperTrend Filter:
Enable: Toggle trend filtering on/off
Timeframe: Higher timeframe for trend analysis (recommended 3-5x chart timeframe)
ATR Period: Period for ATR calculation in SuperTrend (10-14 standard)
Multiplier: Distance from center band (2.5-3.5 for most markets)
Ribbon Width: Visual thickness of trend ribbon (0.2-0.5)
Core Parameters:
Lookback Period: Bars used to identify support/resistance (lower = more sensitive)
ATR Period: Bars for Average True Range calculation (14 is standard)
ATR Timeframe: Use higher timeframe ATR for smoother calculations on fast charts
Volume Multiplier: Required volume vs average (1.0 = average, 1.5 = 50% above average)
TP/SL:
SL Multiplier: Stop loss distance in ATR units (1.0-2.0 typical)
TP1 Multiplier: First target in ATR units (1.5-2.5 typical)
TP2 Multiplier: Second target in ATR units (2.0-3.5 typical)
Trailing Stop:
Enable: Activate dynamic trailing stop
Multiplier: Distance from current price in ATR units (0.8-1.5 typical)
Cooldown:
Enable: Prevent new signals after trade exit
Bars: Number of bars to wait before allowing next trade (higher on fast timeframes)
IMPORTANT NOTES
⚠️ Not a Holy Grail: No indicator is perfect. Pulsar is a tool that requires proper risk management, position sizing, and trading discipline.
⚠️ Backtest First: Test settings on historical data before live trading. Results vary by instrument, timeframe, and market conditions.
⚠️ Market Conditions Matter: Breakout systems perform best in trending markets. Consider reducing size or disabling during known choppy periods.
⚠️ Stop Loss is Mandatory: Always use the provided stop loss levels. Markets can move against you rapidly.
⚠️ Volume Data Required: This indicator requires volume data to function properly. It will display a warning if volume is unavailable.
⚠️ No Repainting: All multi-timeframe calls use non-repainting settings. What you see in real-time is what will be plotted historically.
TECHNICAL SPECIFICATIONS
Version: Pine Script v6
Type: Indicator (overlay = true)
Max Boxes: 500 (for zone visualization)
Max Lines: 500 (for TP/SL levels)
Max Labels: Unlimited (for annotations)
Repainting: None (uses lookahead = barmerge.lookahead_off)
COMPATIBLE INSTRUMENTS
Works best on liquid instruments with reliable volume data:
✅ Futures: NQ, MNQ, ES, MES, YM, MYM, RTY, M2K, CL, GC
✅ Forex: Major pairs (EUR/USD, GBP/USD, etc.)
✅ Stocks: Large-cap stocks with high volume
⚠️ Crypto: Works but requires higher ATR multipliers
❌ Low Volume Stocks: May produce unreliable signals
SUPPORT
For questions, suggestions, or to report issues, please comment below. I actively maintain this indicator and appreciate feedback from the community.
Enjoy trading with Pulsar! 🌟
Information-Geometric Market Dynamics + MLInformation-Geometric Market Dynamics + ML (IGMD-ML)
Foreword: Beyond the Shadows on the Wall
If you have traded for any length of time, you understand the frustration of a perfect setup that fails, the whipsaw that stops you out just before a major move, or the persistent feeling that the price chart is only telling you half the story. For decades, technical analysis has focused on interpreting the shadows—the patterns left behind by price. We draw lines, apply indicators, and hope to derive future movement from this historical data.
But what if we could stop analyzing the shadows and instead measure the object casting them?
This script, Information-Geometric Market Dynamics (IGMD), introduces a new paradigm for market analysis. Its core premise is that the price chart is merely a one-dimensional projection of a much richer, higher-dimensional reality—an "information field" generated by the collective actions, beliefs, and emotions of all market participants.
This is not just another collection of indicators. It is a unified framework for measuring the geometry of this information field—its memory, its complexity, its uncertainty, its causal flows—and making high-probability decisions based on that deeper reality.
The IGMD Framework: A Multi-Kernel Approach
At the heart of IGMD are mathematical "kernels"—specialized engines that transform raw price data into meaningful measurements of abstract market properties. The framework's power lies in its ability to fuse the outputs of five distinct kernels, synthesizing their diverse perspectives into a single, coherent picture of the market's state.
The Five Core Kernels of Market Dynamics:
1. The Wavelet Kernel (The "Microscope"): Decomposes price into different frequency scales, separating short-term noise from the underlying market "thesis."
2. The Hurst Exponent Kernel (The "Memory Gauge"): Measures the market's "long-term memory" to determine if it is in a trending, mean-reverting, or random state.
3. The Fractal Dimension Kernel (The "Complexity Compass"): Quantifies the geometric complexity of the price path, acting as a primary filter for tradable vs. untradable conditions.
4. The Shannon Entropy Kernel (The "Uncertainty Meter"): Provides a pure measure of information and uncertainty, gauging market conviction and predictability.
5. The Transfer Entropy Kernel (The "Causality Probe"): Moves beyond correlation to measure the directed flow of information, assessing if a driver (like volume) is genuinely leading price.
Major Update: The Intelligence Layer & Machine Learning Integration
This version of IGMD introduces a significant advancement: an integrated machine learning (ML) engine that acts as an intelligent decision-making layer on top of the core five-kernel analysis. This is not a "black box" system but a transparent, adaptive filter designed to improve signal quality by learning from the market in real time.
How the ML Engine Works
The ML model processes the outputs from all five IGMD kernels and other market variables (like RSI and Volume) to build a comprehensive, multi-dimensional understanding of the current market state.
Core Technology: The engine uses an online logistic regression model. "Online" means it learns and updates its parameters with every new bar of data, allowing it to adapt continuously to changing market dynamics without needing to be retrained.
Non-Linear Pattern Recognition: To capture the market's complex behavior, the model projects the kernel data into a higher-dimensional space using Random Fourier Features (RFF) . This technique allows a linear model to recognize highly intricate patterns that would otherwise be invisible.
Probabilistic Filtering: The ML engine’s primary function is to act as a final confirmation filter. For every signal generated by the core IGMD system, the ML model calculates a probability score—its confidence that the price will move in the predicted direction. Signals are only displayed if they pass this confidence check.
Key Features of the ML Engine
Automated Regime Filter: The ML engine uses the Fractal Dimension and Shannon Entropy kernels to identify choppy, unpredictable markets. During these periods, the system automatically pauses new signal generation to help preserve capital.
Adaptive Confidence Threshold: To optimize performance, the ML engine features an optional self-adjusting confidence threshold. This system tracks its own rolling accuracy and adjusts its selectivity accordingly, becoming more cautious in uncertain periods and more opportunistic when its accuracy is high.
Feature Importance Monitoring: The dashboard displays which of the core IGMD features (e.g., Wave, Hurst, Entropy) the ML model is currently relying on most. This provides valuable insight into the market's character and what is driving the model's decisions.
Advanced Adaptation: The Reinforcement Learning Bandit (Experimental)
For advanced users, this version includes an experimental feature based on a Multi-Armed Bandit , a concept from reinforcement learning. When enabled, this system can automatically switch between different parameter presets (e.g., Conservative, Balanced, Aggressive) based on the current market regime. It learns over time which preset performs best under specific conditions by balancing the exploitation of known successful strategies with the exploration of others.
Fusion & Interpretation: The Field Score & Enhanced Dashboard
The Field Score: The outputs of the five kernels are fused into a single, comprehensive "Field Score" ranging from -1 (maximum bearish alignment) to +1 (maximum bullish alignment). This remains the ultimate at-a-glance metric for the market's net state.
The Enhanced Dashboard: Your mission control has been upgraded to include the ML engine's analysis. Alongside the core kernel readouts, you can now monitor:
ML Status: See if the model is active, warming up, or disabled.
ML Probability: View the model's real-time confidence for a bullish move.
Regime Status: Instantly know if the market is "Trending," "Normal," or "Choppy (Paused)."
Top Feature: Identify the most influential IGMD kernel according to the ML model.
Signal Status: See the final, ML-vetted signal.
Mastering the Controls: A Guide to the Inputs
The inputs menu gives you full control over the IGMD and ML engines.
🤖 Machine Learning Engine:
Enable ML Probability Model: The master switch for the entire ML layer.
Prediction Horizon: Set how many bars ahead you want the ML model to predict. This should align with your trading style.
ML Confidence Threshold: The minimum probability required for the ML model to approve a signal. This is your primary tool for adjusting signal quality versus frequency.
Pause in Choppy Regimes: Enable or disable the automated filter that stops trading in unfavorable conditions.
Auto-Adjust Threshold: Allow the system to self-optimize its confidence threshold based on recent accuracy.
🎰 Adaptive Parameter Bandit:
Enable Parameter Bandit: Activate the experimental reinforcement learning agent to manage strategy presets automatically.
Reading the Battlefield: On-Chart Visuals
In addition to the established pattern boxes, RR rails, and signal markers, a new visual element has been added:
ML Rejection Markers (✗): An orange '✗' will appear on the chart when the core IGMD system identifies a potential setup, but the ML model's confidence is below your defined threshold. This provides crucial feedback, showing you which signals were intelligently filtered out by the intelligence layer for having a lower probability of success.
A Methodological Distinction: What Sets IGMD Apart **
What sets this framework apart is its foundational approach. Instead of relying on traditional technical indicators, IGMD is architected as a multi-disciplinary engine that fuses concepts from signal processing, chaos theory, and information theory. It moves beyond analyzing simple price action to measure the market's underlying "information field"—quantifying its memory, complexity, and causal flows into a single, unified score. The integrated machine learning layer builds on this foundation, creating a transparent, adaptive filter that learns from market conditions in real-time. This combination of a fused, multi-dimensional analysis with a live, probabilistic intelligence layer offers a more dynamic and nuanced perspective than static, single-purpose indicators.
Development Philosophy & A Final Word
This script was designed to answer a single question: "What is the market *really* doing?" The addition of a transparent, adaptive machine learning layer is the next logical step in this pursuit—using computational intelligence to navigate the vast amount of information the core kernels provide.
This tool is offered for educational and analytical purposes and does not constitute financial advice. Its goal is to elevate market analysis from interpreting flat shadows to measuring the rich, geometric reality of the market's information field.
As the great mathematician Benoit Mandelbrot, father of fractal geometry, noted:
"Clouds are not spheres, mountains are not cones, coastlines are not circles, and bark is not smooth, nor does lightning travel in a straight line."
Neither does the market. IGMD is a tool designed to help navigate that beautiful, complex, and fractal reality.
— Dskyz, Trade with insight. Trade with anticipation.
Dashboard — Vol & PriceDashboard for traders
Indicator Description
1. Prev Day High
What it shows: the previous trading day's high.
Why it shows: a resistance level. Many traders watch to see if the price will hold above or below this level. A breakout can signal buying strength.
2. Prev Day Low
What it shows: the previous day's low.
Why it shows: a support level. If the price breaks downwards, it signals weakness and a possible continuation of the decline.
3. Today
What it shows:
The difference between the current price and yesterday's close (in absolute values and as a percentage).
Color: green for an increase, red for a decrease.
Why it shows: immediately shows how strong a gap or movement is today relative to yesterday. This is an indicator of current momentum.
4. ADR, % (Average Daily Range)
What it shows: Average daily range (High – Low), expressed as a percentage of the closing price, for the selected period (default 7 days).
Why it's useful: To understand the "normal" volatility of an instrument. For example, if the ADR is 3%, then a 1% move is small, while a 6% move is very large.
5. ATR (Average True Range)
What it shows: Average fluctuation range (including gaps), in absolute points, for the specified period (default 7 days).
Why it's useful: A classic volatility indicator. Useful for setting stops, calculating position sizes, and identifying "noise" movements.
6. ATR (Today), %
What it shows: How much the current movement today (from yesterday's close to the current price) represents in % of the average ATR.
Why it shows: Shows whether the instrument has "played out" its average range. If the value is already >100%, there is a high probability that the movement will begin to slow.
7. Vol (Today)
What it shows:
Current trading volume for the day (in millions/billions).
Comparison with yesterday as a percentage (for example: 77.32M (-52.78%)).
Color: green if the volume is higher than yesterday; red if lower.
Why it shows:Quickly shows whether the market is active today. Volume = fuel for price movement.
8. Avg Vol (20d)
What it shows: Average daily volume over the last 20 trading days.
Why it's useful:"normal" activity level. It's a convenient backdrop for assessing today's turnover.
9. Rel. Vol (Today), % (Relative Volume)
What it shows: Deviation of the current volume from the average (20 days).
Formula: `(today / average - 1)` * 100`.
+30% = volume 30% above average, -40% = 40% below average.
Color: green for +, red for –.
Why it's useful:A key indicator for a trader. If RelVol > 100% (green), the market is "charged," and the movement is more significant. If low, activity is weak and movements are less reliable.
10. Normalized RS (Relative Strength)
What it shows: the relative strength of a stock to a selected benchmark (e.g., SPY), normalized by the period (default 7 days).
100 = same result as the market.
> 100 = the stock is stronger than the index.
<100 = weaker than the index.
Why it's needed: filtering ideas. Strong stocks rise faster when the market rises, weak stocks fall more sharply. This helps trade in the direction of the trend and select the best candidates.
In summary:
Prev High / Low — key support and resistance levels.
Today — an instant understanding of the current momentum.
ADR and ATR — volatility and potential movement.
ATR (Today) — how much the instrument has already "run."
Vol + Rel.Vol — activity and confirmation of the movement's strength.
RS — selecting strong/weak leaders against the market.
[FS] Pivot Measurements# Pivot Measurements
An advanced TradingView indicator that combines LuxAlgo's pivot point detection algorithm with automatic measurement calculations between consecutive pivots.
## Features
### Pivot Detection
- **Regular Pivots**: Detects standard pivot highs and lows using configurable pivot length
- **Missed Pivots**: Identifies missed reversal levels that occurred between regular pivots
- **Visual Indicators**:
- Regular pivot highs: Red downward triangle (▼)
- Regular pivot lows: Teal upward triangle (▲)
- Missed pivots: Ghost emoji (👻)
- **Zigzag Lines**: Connects pivots with colored lines (solid for regular, dashed for missed)
- **Ghost Levels**: Horizontal lines indicating missed pivot levels
### Measurement System
- **Automatic Measurements**: Calculates price movements between consecutive pivots
- **Visual Display**:
- Transparent colored boxes (blue for upward, red for downward movements)
- Measurement labels showing:
- Price change (absolute and percentage)
- Duration (bars, days, hours, minutes)
- Volume approximation
- **Smart Positioning**: Labels positioned outside boxes (above for upward, below for downward)
- **Color Coding**: Blue for positive movements, red for negative movements
## Parameters
### Pivot Detection
- **Pivot Length** (default: 50): Number of bars on each side to identify a pivot point
- **Regular Pivots**: Toggle and colors for regular pivot highs and lows
- **Missed Pivots**: Toggle and colors for missed pivot detection
### Measurements
- **Number of Measurements** (1-10, default: 10): Maximum number of measurements to display
- **Show Measurement Boxes**: Toggle to show/hide measurement boxes and labels
- **Box Transparency** (0-100, default: 90): Transparency level for measurement boxes
- **Border Transparency** (0-100, default: 50): Transparency level for box borders
- **Label Background Transparency** (0-100, default: 30): Transparency level for label backgrounds
- **Label Size**: Size of measurement labels (tiny, small, normal, large)
## Usage
1. Add the indicator to your chart
2. Configure the **Pivot Length** based on your timeframe:
- Lower values for shorter timeframes (e.g., 10-20 for 1-5 min)
- Higher values for longer timeframes (e.g., 50-100 for daily)
3. Adjust pivot colors and visibility as needed
4. Customize measurement display settings:
- Set the number of measurements to display
- Adjust transparency levels for boxes, borders, and labels
- Choose label size
## Technical Details
- **Pine Script Version**: v6
- **Pivot Detection**: Based on () algorithm for detecting regular and missed pivots
- **Measurement Calculation**:
- Measures between consecutive pivots (from most recent to older)
- Calculates price change, percentage change, duration, and approximate volume
- Automatically sorts pivots chronologically
- **Performance**: Optimized with helper functions to reduce code duplication
## Notes
- The indicator automatically limits the number of stored pivots to optimize performance
- Measurements are only created when there are at least 2 pivots detected
- All measurements are recalculated on each bar update
- The indicator uses `max_bars_back=5000` to ensure sufficient historical data
## License
This indicator uses LuxAlgo's pivot detection algorithm from (). Please refer to the original LuxAlgo license for pivot detection components.
Nifty Futures Momentum ScalperNifty Futures Momentum Scalper
Backtesting
VPA , RSI, momentum trades with EMA crossover
Bubbles VolumeBubbles Volume Indicator
Overview
The Bubbles Volume Indicator is an advanced volume visualization tool that transforms traditional volume analysis into an intuitive, visual experience. By representing volume as dynamically-sized bubbles directly on your price chart, this indicator helps traders quickly identify significant volume events, potential support/resistance levels, and shifts in market sentiment.
Key Features
🔵 Visual Volume Representation
Displays volume as circular bubbles at the midpoint of each candle
Bubble size scales proportionally to volume significance
Instant visual identification of unusual volume activity
Clean, uncluttered chart presentation
📊 Dual Volume Modes
Total Volume Mode: Displays complete trading volume for each bar
Volume Delta Mode: Shows the difference between buying and selling pressure, helping identify market direction and strength
🎨 Advanced Coloring Systems
Simple Mode: Clear green/red coloring for buy/sell pressure
HeatMap Mode: Gradient coloring that intensifies with volume strength, providing instant visual feedback on volume intensity
📍 Significant Level Detection
Automatically identifies and marks price levels with exceptional volume
These levels often act as future support or resistance zones
Historical volume levels remain visible for reference
How to Use
For Day Traders
Identify volume climaxes that may signal reversals
Spot accumulation/distribution patterns through Volume Delta
Confirm breakouts with significant volume bubbles
For Swing Traders
Mark important support/resistance levels based on historical high-volume areas
Identify institutional activity through unusual volume patterns
Validate trend strength using volume confirmation
For Scalpers
Quick visual identification of liquidity pockets
Real-time volume delta for order flow analysis
Filter out low-volume noise with minimum contract settings
Parameter Settings
Volume Settings
Volume Type
Total Volume: Shows all traded volume for each bar - ideal for general volume analysis
Volume Delta: Displays the difference between buying and selling pressure - perfect for order flow analysis
Minimum Contracts
Filters out bubbles below a specified volume threshold
Set to 0 to disable filtering
Helps remove noise during low-volume periods
For Volume Delta: Filters based on absolute delta value
Bubble Display
Show Bubbles
Toggle the visibility of volume bubbles on/off
Bubbles appear at the middle price point (HL2) of each bar
Threshold
Statistical threshold measured in standard deviations
Controls sensitivity of volume significance detection:
1.0 = Shows top ~32% of volumes (more bubbles, common events)
2.0 = Shows top ~5% of volumes (significant events)
3.0 = Shows top ~0.3% of volumes (rare, extreme events)
Higher values display only the most significant volume spikes
HeatMap
OFF: Simple coloring scheme (green for buying, red for selling in Delta mode)
ON: Gradient coloring that intensifies with volume strength
Provides additional visual dimension to volume analysis
Volume Levels
Significant Levels
Draws horizontal lines at price levels where extreme volume occurred
Volume must exceed 3x the threshold setting to qualify
These levels often become important support/resistance zones
Levels Qty
Maximum number of significant volume level lines to display
Older lines are automatically removed when limit is exceeded
Keeps chart clean while maintaining relevant historical levels
Visual Indicators
Bubble Sizes (in order of significance)
Tiny: Minimal volume above baseline
Small: Low significant volume
Normal: Moderate volume activity
Medium: Above-average volume
Large: High volume activity
Huge: Exceptional volume
Labeled: Extreme volume with numeric display
Color Coding
Green: Buying pressure (in Volume Delta mode) or rising prices
Red: Selling pressure (in Volume Delta mode) or falling prices
Gradient Intensity: Stronger colors indicate higher relative volume
Information Display
The indicator includes a real-time information table showing:
Current operating mode (Total Volume or Volume Delta)
Live delta values with directional arrows (in Volume Delta mode)
Active minimum contracts filter setting
Best Practices
Start with default settings to familiarize yourself with the indicator
Adjust threshold based on your trading timeframe (lower for scalping, higher for position trading)
Use Volume Delta mode when analyzing order flow and market sentiment
Enable Significant Levels for swing trading to identify key support/resistance
Apply Minimum Contracts filter to reduce noise in low-volume markets
Technical Notes
The indicator requires volume data to function (not available on all symbols)
Volume Delta calculations use intrabar data for enhanced accuracy
Historical significant levels are preserved for technical analysis
Optimized for both light and dark chart themes
Trading Applications
Breakout Confirmation: Large bubbles during breakouts confirm strength
Reversal Detection: Extreme volume at tops/bottoms may signal reversals
Trend Analysis: Increasing bubble sizes confirm trend strength
Support/Resistance: High-volume levels often become future pivots
Order Flow: Volume Delta reveals real-time buying/selling pressure
ONLY LONG – 4H Breakout → 1H EMA(12/21) [Signals]🔹 ONLY LONG – 4H Breakout → 1H EMA(12/21)
Author: SystemsOverFeelings
Type: Signal-only indicator (non-repainting)
Timeframe: Designed for the 1H chart
Markets: BTCUSDT perpetual& major pairs
📖 Concept
A high-timeframe confirmation model for trend-continuation longs.
It detects:
A 4-Hour breakout candle closing above recent range highs,
With very-high volume confirmation, and
Then waits for a 1-Hour pullback into the EMA(12/21) band or a Break of Structure (BOS) to re-enter.
No repainting — all 4H logic uses request.security(..., lookahead_off) for confirmed data.
🧩 Signal Logic
✅ 4H Trigger: Breakout candle with volume > SMA(20) × user multiplier.
✅ Armed Regime: Green background = system ready for 1H entries.
🟢 LONG Signal: 1H candle consolidates inside or touches the EMA band, or shows BOS confirmation.
❌ EXIT Signal: 4H EMA(12) crosses below EMA(21).
All signals are visually marked and alert-ready.
⚙️ Adjustable Parameters
4H volume multiplier
Range lookback days
Pullback strictness (inside/touch)
1H BOS pivot length & mode
Expiry time for invalidated setups
🔔 Alerts
Built-in alerts for:
4H breakout trigger
1H long entry signal
4H band exit
Use them directly via “Create Alert → Condition → This Script → Choose Signal.”
💡 Notes
Works best on BTC/ETH 1H chart.
Non-repainting, multi-timeframe logic.
Use for directional bias or entry timing — not financial advice.
Quantura - Supply & Demand Zone DetectionIntroduction
“Quantura – Supply & Demand Zone Detection” is an advanced indicator designed to automatically detect and visualize institutional supply and demand zones, as well as breaker blocks, directly on the chart. The tool helps traders identify key areas of market imbalance and potential reversal or continuation zones, based on price structure, volume, and ATR dynamics.
Originality & Value
This indicator provides a unique and adaptive method of zone detection that goes beyond simple pivot or candle-based logic. It merges multiple layers of confirmation—volume sensitivity, ATR filters, and swing structure—while dynamically tracking how zones evolve as the market progresses. Unlike traditional supply and demand indicators, this script also detects and plots Breaker Zones when previous imbalances are violated, giving traders an extra layer of market context.
The key values of this tool include:
Automated detection of high-probability supply and demand zones.
Integration of both volume and ATR filters for precision and adaptability.
Dynamic zone merging and updating based on price evolution.
Identification of breaker blocks (invalidated zones) to visualize market structure shifts.
Optional bullish and bearish trade signals when zones are retested.
Clear, visually optimized plotting for efficient chart interpretation.
Functionality & Core Logic
The indicator continuously scans recent price data for swing highs/lows and combines them with optional volume and ATR conditions to validate potential zones.
Demand Zones are formed when price action indicates accumulation or a strong bullish rejection from a low area.
Supply Zones are created when distribution or strong bearish rejection occurs near local highs.
Breaker Blocks appear when existing zones are invalidated by price, helping traders visualize potential market structure shifts.
Bullish and bearish signals appear when price re-enters an active zone or breaks through a breaker block.
Parameters & Customization
Demand Zones / Supply Zones: Enable or disable each individually.
Breaker Zones: Activate breaker block detection for invalidated zones.
Volume Filter: Optional filter to only confirm zones when volume exceeds its long-term average by a user-defined multiplier.
ATR Filter: Optional filter for volatility confirmation, ensuring zones form under strong momentum conditions.
Swing Length: Controls the number of bars used to detect structural pivots.
Sensitivity Controls: Adjustable ATR and volume multipliers to fine-tune detection responsiveness.
Signals: Toggle for on-chart bullish (▲) and bearish (▼) signal plotting when price interacts with zones.
Color Customization: User-defined bullish and bearish colors for both standard and breaker zones.
Core Calculations
Zones are detected using pivot highs and lows with a defined lookback and lookahead period.
Additional filters apply if ATR and volume are enabled, requiring conditions like “ATR > average * multiplier” and “Volume > average * multiplier.”
Detected zones are merged if overlapping, keeping the chart clean and logical.
When price breaks through a zone, the original box is closed, and a new breaker zone is plotted automatically.
Bullish and bearish markers appear when zones are retested from the opposite side.
Visualization & Display
Demand zones are shaded in semi-transparent bullish color (default: blue).
Supply zones are shaded in semi-transparent bearish color (default: red).
Breaker zones appear when previous imbalances are broken, helping to spot structural shifts.
Optional arrows (▲ / ▼) indicate potential buy or sell reactions on zone interaction.
Use Cases
Identify institutional areas of accumulation (demand) or distribution (supply).
Detect potential breakout traps and market structure shifts using breaker zones.
Combine with other tools such as volume profile, EMA, or liquidity indicators for deeper confirmation.
Observe retests and reactions of zones to anticipate possible reversals or continuations.
Apply multi-timeframe analysis to align higher timeframe zones with lower timeframe entries.
Limitations & Recommendations
The indicator does not predict future price movement; it highlights structural imbalances only.
Performance depends on chosen swing length and sensitivity—users should optimize parameters for each market.
Works best in volatile markets where supply and demand imbalances are clearly expressed.
Should be used as part of a broader trading framework, not as a standalone signal generator.
Markets & Timeframes
The “Quantura – Supply & Demand Zone Detection” indicator is suitable for all asset classes including cryptocurrencies, Forex, indices, commodities, and equities. It performs reliably across multiple timeframes, from intraday scalping to higher timeframe swing analysis.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Important
This description complies with TradingView’s Script Publishing and House Rules. It clearly explains the indicator’s originality, underlying logic, functionality, and intended use without unrealistic claims or performance guarantees.
Quantura - Fair Value GapIntroduction
“Quantura – Fair Value Gap” is a precision-engineered institutional concept indicator designed to automatically identify, visualize, and manage Fair Value Gaps (FVGs) across any market or timeframe. It enables traders to observe price inefficiencies, potential liquidity voids, and retracement areas that often act as magnets for price rebalancing.
Originality & Value
Unlike many public FVG scripts that only highlight candle gaps, this indicator integrates dynamic filters and adaptive logic to determine the strength and reliability of each gap. It merges overlapping zones intelligently and optionally extends valid imbalances forward for ongoing reference.
Its value lies in:
Dynamic statistical filtering based on gap standard deviation.
Optional volume confirmation for high-confidence FVGs.
Automatic merging of overlapping or adjacent gaps for clean visualization.
Support for both bullish and bearish imbalances.
Signal alerts when gaps are filled or rebalanced by price.
Functionality & Core Logic
Detects Fair Value Gaps by comparing candle-to-candle price displacement.
Applies a Gap Filter (standard deviation-based) to qualify valid gaps.
Optionally validates gaps formed under significant volume conditions.
Draws color-coded boxes to mark bullish (discount) and bearish (premium) inefficiencies.
Monitors each FVG until price fills the gap, at which point the box is visually closed.
Provides optional signal markers (“▲” or “▼”) when rebalancing occurs.
Parameters & Customization
Gap Filter: Sets the minimum statistical deviation required for a valid FVG. Higher values detect fewer, stronger gaps.
Volume Filter: Toggles additional validation using relative volume strength.
Volume Sensitivity: Adjusts how much above-average volume must be present to confirm a gap.
Bullish/Bearish Colors: Customize color schemes for imbalance zones.
Extend Gaps: Optionally extend open gaps forward for better confluence tracking.
Signals: Enables or disables gap-fill signal markers.
Visualization & Display
Bullish FVGs: Appear in blue-tinted boxes, indicating potential demand-side inefficiencies.
Bearish FVGs: Appear in red-tinted boxes, representing potential supply-side inefficiencies.
Overlapping zones are merged automatically to maintain clarity.
Filled gaps remain visible for historical context, allowing for post-event analysis.
Optional signal arrows display when price returns to rebalance an FVG.
Use Cases
Identify institutional inefficiencies and liquidity voids.
Detect premium and discount levels in trending markets.
Combine with market structure or order block indicators for confluence.
Track when price rebalances inefficiencies to refine entry/exit points.
Build FVG-based algorithmic strategies that rely on structural imbalance resolution.
Limitations & Recommendations
The indicator detects structural imbalances but does not predict future direction or guarantee profitability.
Volume filters may behave differently across brokers due to data-source differences.
Use alongside structure or liquidity tools for enhanced decision-making.
Extreme volatility or illiquid assets may generate temporary invalid gaps.
Markets & Timeframes
Compatible with all markets (crypto, forex, equities, indices, futures) and all timeframes. Recommended for multi-timeframe confluence analysis — e.g., detecting higher-timeframe FVGs and refining lower-timeframe entries.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Compliance Note
This description adheres fully to TradingView’s House Rules and Script Publishing Requirements . It provides a detailed explanation of originality, core logic, limitations, and appropriate use — with no unrealistic or misleading performance claims.
Quantura - Average Intraday Candle VolumeIntroduction
“Quantura – Average Intraday Candle Volume” is a quantitative visualization tool that calculates and displays the average traded volume for each intraday time position based on a user-defined historical lookback period. It allows traders to analyze recurring intraday volume patterns, identify high-activity sessions, and detect liquidity shifts throughout the trading day.
Originality & Value
This indicator goes beyond standard volume averages by normalizing and aligning volume data according to the time of day. Instead of simply smoothing recent bars, it builds an intraday volume profile based on historical daily averages, enabling users to understand when during the day volume typically peaks or drops.
Its originality and usefulness come from:
Converting standard volume data into time-aligned intraday averages.
Visualization of historical intraday liquidity behavior, not just total daily volume.
Dynamic scaling using normalization and transparency to emphasize active and quiet periods.
Optional day-separator lines for precise intraday structure recognition.
Gradient-based coloring for better visual interpretation of volume intensity.
Functionality & Core Logic
The indicator divides each day into discrete intraday time positions (based on chart timeframe).
For each position, it stores and updates historical volume values across the selected number of days.
It calculates an average volume per time position by aggregating all stored values and dividing them by the number of valid days.
The result is plotted as a continuous histogram showing typical intraday volume distribution.
The bar colors and transparency dynamically reflect the relative intensity of volume at each point in the day.
Parameters & Customization
Number of Days for Averaging: Defines how many past days are included in the volume average calculation (default: 365).
UTC Offset: Allows synchronization of intraday cycles with local or exchange time zones.
Base Color: Sets the main color for plotted volume columns.
Color Mode: Choose between “Gradient” (transparency dynamically adjusts by intensity) or “Normal” (fixed opacity).
Day Line: Toggles dashed vertical lines marking the start of each trading day.
Visualization & Display
Volume is plotted as a series of histogram bars, each representing the average volume for a specific intraday time position.
A gradient color mode enhances readability by fading lower-intensity areas and highlighting high-volume regions.
Optional day-separator lines visually segment historical sessions for easy reference.
Works seamlessly across all chart timeframes that divide the 24-hour day into regular bar intervals.
Use Cases
Identify when trading activity typically peaks (e.g., session opens, news windows, or overlapping markets).
Compare current intraday volume to historical averages for early anomaly detection.
Enhance algorithmic or discretionary strategies that depend on volume-timing alignment.
Combine with volatility or price structure indicators to confirm market activity zones.
Evaluate session consistency across different time zones using the UTC offset parameter.
Limitations & Recommendations
The indicator requires intraday data (below 1D resolution) to function properly.
Volume behavior may vary across brokers and assets; adjust averaging period accordingly.
Does not predict price movement — it provides volume-based context for analysis.
Works best when combined with structure or momentum-based indicators.
Markets & Timeframes
Compatible with all intraday markets — including crypto, Forex, equities, and futures — and all intraday timeframes (from 1 minute to 4 hours). It is particularly valuable for analyzing assets with continuous 24-hour trading activity.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Important
This description complies with TradingView’s Script Publishing and House Rules. It provides a clear explanation of the indicator’s originality, logic, and purpose, without any unrealistic performance or predictive claims.
Transactional Rate of Change (TROC)TRANSACTIONAL RATE OF CHANGE (TROC) INDICATOR
Transaction Rate of Change (TROC) is an advanced momentum indicator that analyzes the rate of change in cumulative inferred buy/sell volume data to identify shifts in buying and selling acceleration and deceleration of transaction flow, providing early signals of potential trend changes, exhaustion/absorption, and momentum shifts. It builds further upon the official Volume Delta indicator released by TradingView.
If a stock price is a rocket climbing , then volume delta is the total fuel burned, and TROC is the fuel burn rate . A rocket can keep rising even after engines start throttling down (decelerating TROC), but it won't go much higher without more thrust. When TROC shows extreme positive readings, the engines are at maximum burn—expect explosive price movement. When TROC drops to zero while price is still high, the fuel is depleted and gravity (selling pressure) takes over. Are buyers pushing on the gas, or are they backing off? Are more buyers coming to the table, or are they losing interest or taking profits? Are excited retail buying highs while smart money close their positions using the excited retail liquidity?
KEY FEATURES
• Volume Delta Analysis - Approximates up and down volume from lower timeframe data to calculate true buying vs. selling pressure.
• Rate of Change Calculation - Measures the momentum of cumulative delta over a customizable period. Essentially, it displays the rate of change between buying and selling. How fast is it going, is it slowing, how excited are they?
• Momentum State Detection - Automatically identifies four distinct market states: accelerating up, decelerating up, accelerating down, and decelerating down
• Extreme Threshold Zones - Bands based on standard deviation to highlight unusually high or low transaction rates, helping to spot potential extreme values, blow offs, and capitulation.
• Z-Score Normalization - Optional standardization for comparing momentum across different timeframes and instruments.
• Momentum Strength Index (MSI) - Filters out weak signals by highlighting only bars with momentum exceeding a threshold.
• Flexible Reset Modes - Reset cumulative delta daily, weekly, monthly, or per session to prevent data drift, or leave it default for continual cumulative data.
APPLICATION
Trend Confirmation
When price makes a new high but TROC is decelerating (lighter colors), it suggests weakening buying pressure and potential exhaustion. Conversely, strong acceleration (darker colors) confirms robust trend continuation. Either buyers are supporting the move, or they aren't. Same goes for selling. It can also assist spotting short covering.
Divergence Trading
Use it similar to MACD divergence strategies. Is price movement confirmed by expansion in TROC, or is the TROC showing weakness while price is continuing it's trend?
Momentum Breakouts
When TROC crosses above the upper threshold zone with strong momentum (MSI activated), it signals institutional-level buying that often precedes significant price moves. Use this for breakout entries.
Mean Reversion
Extreme readings beyond the threshold zones often precede short-term reversals as transaction rates normalize. Consider taking profits or counter-trend positions when TROC reaches statistical extremes. Utilizing the extreme threshold bands can help you identify tops and bottoms.
Absorption Detection
Spot areas where buying or selling is being done, but price is hitting a wall or floor and not moving. This can indicate a hidden seller or a buyer reloading at price levels/zones.
SETTINGS
Timeframe for Volume Delta Calculation
Select the lower timeframe used to calculate buying and selling volume. Default: 1S (1 second)
• 1S or 5S - Maximum precision for scalping and intraday trading on liquid markets
• 1m or 5m - Balanced precision for swing trading and less liquid instruments
• Higher timeframes - Provide more historical data but reduce accuracy
Note: Higher frequency data yields more accurate delta calculations but may not be available for all symbols or historical periods. If you are using higher timeframes (Daily, Weekly) you will need to change this setting to a higher timeframe.
Rate of Change Period
Determines how many bars back to measure the momentum change. Default: 14
• Short periods (7-10) - More responsive, ideal for scalping and quick momentum shifts
• Medium periods (14-20) - Balanced sensitivity for day trading
• Long periods (25-50) - Smoother readings for swing trading and trend analysis
Shorter periods generate more signals but increase false positives; longer periods reduce noise but may lag significant changes.
Extreme Threshold Zones
Bands that highlight unusual transaction rate extremes based on standard deviation.
• Show Zones - Enable/disable the upper and lower threshold lines (Default: Enabled)
• Multiplier - Standard deviation multiplier for zone placement (Default: 2.0)
Values of 1.5-2.0 catch moderate extremes
Values of 2.5-3.0 identify only the most extreme readings
• Lookback Period - Number of bars used to calculate mean and standard deviation (Default: 100)
Shorter lookback (50-75) adapts faster to changing market conditions
Longer lookback (150-200) provides more stable, consistent zones
Smooth Cumulative Delta
Applies Adaptive Moving Average to reduce noise in the cumulative volume delta before calculating rate of change. Default: Enabled
• Smoothing Length - period (Default: 5)
Lower values (3-5) preserve responsiveness
Higher values (7-10) significantly reduce noise on choppy markets
Smoothing is particularly useful on volatile instruments or when using very short ROC periods.
Momentum Strength Index (MSI)
Filters the histogram to highlight only bars exceeding a specified momentum threshold, eliminating weak signals.
• Show MSI - Enable/disable momentum strength filtering (Default: Disabled)
• MSI Threshold - Minimum momentum strength multiplier (Default: 2.0)
Values of 1.5-2.0 show above-average momentum
Values of 2.5-3.5 isolate only exceptional momentum bars
When enabled, bars meeting the threshold display in the "Strong Up/Down" colors, while normal bars use standard momentum colors.
Display Settings
• Histogram Bar Width - Visual thickness of the columns (Default: 1, Range: 1-10)
• Use Z-Score Normalization - Standardizes TROC values for cross-asset comparison (Default: Disabled)
Enable when comparing multiple instruments or timeframes simultaneously
Z-Score converts values to standard deviations from the mean
• Z-Score Threshold - When using Z-Score Normalization mode, sets the extreme zone levels (Default: 2.0)
Represents standard deviations from mean (2.0 = ~95% confidence interval)
Cumulative Transaction Reset
Determines when the cumulative volume delta resets to zero, preventing infinite accumulation. Default: None
• None - Cumulative delta never resets (continues from symbol history start)
• Daily - Resets at the start of each new trading day
• Weekly - Resets at the start of each week
• Monthly - Resets at the start of each month
• On session change - Resets when market opens (useful for 24-hour markets)
Reset modes prevent cumulative drift that can distort ROC calculations over extended periods.
Color Customization Fully customizable color scheme.
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Note: This indicator requires volume data from your data vendor. It uses inferred buy/sell volume. To learn more, read the TradingView Volume Delta documentation. Optimal performance is achieved on liquid instruments with high-frequency data.
OutsiderEdge - Adaptive Node Efficiency Function (ANEF)Overview - What is ANEF?
ANEF is a zero-centered oscillator that blends price efficiency, effective volume around VWAP (node proximity), order-flow imbalance (uptick/downtick proxy), and returns volatility into a single, normalized score. The goal is to help you spot efficient breakouts and inefficient mean-reversions in a way that’s transparent, systematic, and easy to align with your own analysis.
Users can combine ANEF’s components to build rules such as: “ Only consider short breakout signals when trend context is bearish and the ANEF score pushes into the Efficient Zone ,” or “ Look for mean-reversion setups when the ANEF score sinks into the Inefficient Zone while trend context remains bullish. ”
While ANEF can stand on its own, it also works well as a secondary confirmation layer to a user’s primary process (volume profile, price action, S/R, market structure, or your preferred overlays).
🔹 FEATURES
Below is each ANEF component/feature in the order that typically leads to the most confluence.
ANEF Core (Normalized Score)
Combines a price change term with effective volume near VWAP and order-flow imbalance, scaled by volatility and normalized into a zero-centered oscillator.
Read it like a pressure gauge: high positive values = efficient upside impulse risk; deep negative values = inefficient pressure that often reverts.
Efficient & Inefficient Zones (Thresholds)
Two user-set levels (default ≥ +4.6 and ≤ −4.6) to quickly see when ANEF pushes into efficient breakout territory (top zone) or inefficient territory (bottom zone).
Thresholds are not overbought/oversold; they’re contextual “efficiency bands.”
2nd-Signal Confirmation (Optional)
An opt-in rule to ignore the first signal of a type and only print the second occurrence within X bars (default 6).
Reduces one-off noise without repainting or lookahead.
Trend Context (EMA-based Wave, Optional)
A lightweight EMA context that lets you filter signals (e.g., only show ▼ in downtrend, only show ▲ in uptrend).
The context is plotted as a sub-pane wave centered around zero so it doesn’t fight for price-panel space.
Clean Alerts (Raw & Confirmed)
Raw alerts fire at zone interactions.
Confirmed alerts respect the 2nd-signal rule and (optionally) the trend filter.
Price-Panel Markers (through force_overlay)
Even with the oscillator in a separate pane, ANEF can print mini markers on the main chart.
Useful to correlate impulses/reversions with structure, S/R, or higher-TF levels.
🔹 USAGE
In the examples below, you see chart snapshot with five labeled points of (in)efficiency breakouts.
ICMARKETS:UK100
Point 1 — Efficient Downside Breakout (▼)
ANEF surges into the Efficient Zone, indicating downside momentum that’s aligned with node volume/imbalance and volatility. Typical use: trend-following continuation, takeprofit on existing long or tightening risk on existing shorts (invalidations above recent structure).
Point 2 — Inefficient Upside Reversion (▲)
First rebound after the selloff with ANEF deep in the Inefficient Zone. Not an ideal long entry on its own, but a good management cue: take partial profits on shorts or tighten stops as an early confirmation that the drop may be exhausting.
Point 3, 4 and 5 — Inefficient Upside Reversion (▲)
Another 3x ▲ appears as price forms a higher low and ANEF prints a less extreme negative reading. With the “second-signal within X bars” option enabled, this becomes a more credible mean-reversion attempt. Possible long entries or takeprofits on existing shorts.
Trading involves substantial risk. This tool is for educational purposes only and is not financial advice. Past performance does not guarantee future results. You are solely responsible for your trading decisions and risk management.
🔹 NAVIGATING MARKET CONDITIONS
Trending phases:
Expect more time in or near the zones in the trend direction.
Consider allowing only trend-aligned signals (filter ON) and using counter zone exits for trail/partials rather than counter-trend trades.
Ranging phases:
Expect frequent dips and surges into the (In)efficient Zones and back.
Counter-moves (▲ in range downs, ▼ in range ups) can be productive with tight invalidation and the 2nd-signal rule to reduce noise.
Regime shifts:
Watch for repeated failures of one side’s signals plus cross-pane confluence (e.g., context flips while ANEF re-anchors around zero).
That sequence often marks transitions where your rules should adapt (e.g., disable the trend filter temporarily or widen your 2nd-signal window).
🔹 SETTINGS SUMMARY
ANEF Core: lengthPrice, lengthVol, lengthVolat, imbalanceCap
Zones: Efficient (≥), Inefficient (≤)
Confirmation: Require 2nd signal, Lookahead bars
Trend Filter: Enable, EMA length, optional smoothing & “only show ▲/▼ with trend”
Chart Markers: Also show on main chart (force_overlay)
Alerts: Raw vs Confirmed (pick what suits your workflow)
🔹 GOOD PRACTICES
Treat signals as context cues, not as mechanical buy/sell calls. You can align ANEF with structure (S/R, HTF bias, LVN, HVN or POC) and risk management (partials on zone exit, invalidation beyond recent swing). Start with defaults; tweak parameters to match your market/TF.
🔹 LIMITATIONS / DISCLAIMER
ANEF does not use lookahead and does not repaint, but no indicator guarantees outcomes.
Thresholds are heuristics; markets can remain efficient/inefficient longer than expected.
Use appropriate position sizing and independent validation.
Trading involves substantial risk. This tool is for educational purposes only and is not financial advice. Past performance does not guarantee future results. You are solely responsible for your trading decisions and risk management.
Release Notes
v1.0 — Initial invite-only release with: normalized ANEF core, Efficient/Inefficient zones, optional EMA trend context, 2nd-signal confirmation, raw & confirmed alerts, and optional price-panel markers via force_overlay.
QuantumFlowTraderQuantumFlowTrader
Adaptive Flow Visualizer with Multi-ATR Volatility Engine and Multi-EMA Clouds
Overview
QuantumFlowTrader is an adaptive market flow visualizer that integrates multiple EMA clouds, a session VWAP framework, and a tested multi-ATR volatility engine.
It is built to help traders interpret directional strength, institutional balance, and volatility synchronization across any asset and timeframe available on TradingView.
How It Works
1. Multi-EMA Clouds — Trend Structure and Flow Context
QuantumFlowTrader employs several EMA-based cloud layers to represent short-, medium-, and long-term structure simultaneously.
Each cloud adapts dynamically to price movement, revealing trend alignment and momentum stacking across depths of the market.
When all EMA clouds align in the same direction, the color gradient intensifies (green for bullish, red for bearish).
When structure conflicts, transparency increases, signaling mixed or transitional phases.
This multi-cloud approach allows traders to see structure, flow, and trend shifts at a glance, eliminating guesswork and highlighting transitions between trend and consolidation.
2. Session VWAP — Institutional Equilibrium and Reaction Zones
The Session VWAP represents the real-time mean price that institutional participants often reference.
QuantumFlowTrader enhances it with tested adaptive deviation envelopes, which highlight zones where price frequently reacts or pauses.
These deviation zones dynamically expand or contract with volatility, defining institutional fair-value regions and potential continuation or mean-reversion boundaries.
VWAP color automatically changes based on whether price trades above or below the equilibrium, giving immediate visual feedback on session bias.
3. QuantumFlow ATR Engine — Core Innovation
At the heart of QuantumFlowTrader is its proprietary multi-ATR engine, a deeply tested system that runs multiple ATR calculations and deviation layers at the same time.
Unlike single-metric approaches, this composite engine merges several ATRs with different sensitivities and deviations to identify synchronized volatility alignment.
When all ATR layers align bullish, a green up-arrow appears below the bar.
When all align bearish, a red down-arrow appears above the bar.
This configuration has been tested for many years across market types and volatility regimes.
Its goal is to detect moments when price action, volatility, and structure converge, which historically coincide with the start or continuation of strong directional flows.
This multi-ATR architecture is what makes QuantumFlowTrader genuinely unique among volatility-based systems.
Adaptability Across Assets and Timeframes
QuantumFlowTrader is universally adaptable:
Works effectively on any timeframe, from scalping to swing or position trading.
Performs consistently across Forex, Stocks, Indices, Commodities, and Crypto.
The internal algorithms automatically adjust their sensitivity and scaling to the selected chart’s behavior, ensuring smooth adaptation to different volatility environments.
This makes it suitable for traders who want a consistent analytical framework adaptable to both short-term and long-term contexts.
Customization and Alerts
EMA Clouds: adjust colors, transparency, and visibility for each structural layer.
VWAP Zones: toggle the equilibrium line and deviation visualization.
ATR Arrows: control arrow appearance and size for bullish/bearish events.
Dynamic Scaling: built-in adaptive multiplier auto-balances volatility response.
Built-in alerts:
Buy Condition: all ATR layers bullish and price above VWAP.
Sell Condition: all ATR layers bearish and price below VWAP.
These alerts identify situations where both directional flow and volatility alignment agree.
Originality and Value
QuantumFlowTrader is not a mash-up of public indicators.
Its originality lies in how it integrates:
Multiple EMA clouds for layered structural analysis.
Session VWAP with adaptive deviation zones to reveal institutional equilibrium and price reactions.
A proprietary multi-ATR engine that combines several ATR and deviation configurations simultaneously for volatility confirmation.
Together, these systems produce a unified, adaptive visualization of market structure, volatility, and flow — helping traders stay aligned with dynamic directional conditions while filtering out low-efficiency noise.
Example — Multi-Timeframe Integration (Optional Use)
While QuantumFlowTrader works effectively on any single chart, many traders use a three-screen workflow to synchronize trend, momentum, and execution:
1 Screen: 15-minute, Defines dominant trend direction (multi-EMA cloud + VWAP bias).
2 Screen: 5-minute, Confirms flow alignment and momentum coherence.
3 Screen: 1-minute, Executes entries when ATR arrows appear in the same direction as the 15-minute trend.
Example workflow:
1. Identify overall direction from 15m cloud and VWAP structure.
2. Wait for 5m confirmation.
3. Time entries on 1m using ATR arrows aligned with the higher timeframe.
This structure enhances precision and reduces counter-trend exposure.
Best Practices and Limitations
Always use proper risk management and forward testing before applying live.
Author’s Instructions:
To request access, please contact the author through the TradingView profile.
AUD/USD Optimized Sentiment Pro By Revan BlezinskyAUD/USD Global Sentiment Pro is an advanced trading indicator that combines both technical and fundamental analysis to provide comprehensive sentiment signals for the AUD/USD currency pair.
Key Features:
Multi-Timeframe Analysis: Utilizes daily data from key financial instruments including DXY (US Dollar Index), XAU/USD (Gold), CNY/USD (Chinese Yuan), SPX (S&P 500 Index), and AUD/CAD for a holistic view.
Dynamic Scoring System:
Fundamental Score: Weighted changes in DXY, Gold, CNY, SPX, and AUD/CAD.
Technical Score: Based on EMA crossovers (13, 48, 89), RSI with dynamic levels, and trend direction.
Momentum Confirmation: MACD for additional momentum insight.
Adaptive Thresholds: Uses moving average and standard deviation of the total score to generate dynamic buy/sell thresholds.
Risk Management: Includes ATR-based stop loss and take profit levels, and limits the number of signals per day to avoid overtrading.
Advanced Filtering:
Volume spike detection
Volatility filter (high/low/normal)
Trend filter (using 89 EMA)
Parameters:
EMA Lengths: Fast (13), Slow (48), Trend (89)
RSI Length: 14
Dynamic Lookback: 55 periods
Risk/Reward Ratio: 1.5
Max Signals Per Day: 3
Signals:
Bullish: Total score above dynamic threshold and above zero, with trend and volume confirmation.
Bearish: Total score below dynamic threshold and below zero, with trend and volume confirmation.
This indicator is designed for traders who want to incorporate both technical and fundamental factors into their trading decisions, providing a systematic approach to trading the AUD/USD pair.
HVIB UltimateThis script shows specific VIBs (volume imbalances) Customizable
HVIB - shows all HVIBS for short/ long, timeframe customization (current, 10, 15), colour customization, Fill close customisation (body/wick, number of closes needed to stop showing it as a valid)
2: FVIB indicator - shows two types of Failed vibs
FHVIBs (basicaly HVIBS but only those failed ones)
FVIB - Vib between two same candles closed by the third opposite candle (failed vib)
I like to have those two indicators three times copied for each timeframes /HVIBS 3 times and Fhvibs three times. to turn in quickly on and off and look which timeframes are aligned (which is even stronger I believe)
NeuroPip OscillatorNeuroPip Oscillator – Adaptive Momentum Oscillator with Deviation “Bursts”
Indicator published by PipGuard.
NeuroPip Oscillator is an adaptive momentum oscillator displayed in a separate panel , designed to read market momentum and regime shifts through a dynamically adjusted signal line.
The main signal ( NeuroPulse ) changes color according to the active regime, while the Synapse Burst line highlights real-time deviations and momentum acceleration phases.
How it Works
• Non-Classical Logic:
Unlike conventional 3-candle swing models, NeuroPip uses a custom adaptive mechanism that blends trend behavior , volatility , and closing dynamics over a dynamic bar range .
This allows the oscillator to filter noise and focus on true structural impulses , rather than random fluctuations, producing smoother and more reliable regime detection.
• Color Shift & Waves:
The NeuroPulse line turns orange in bullish phases and violet in bearish phases.
A Colour fill between the signal and baseline visually represents the intensity and direction of momentum in real time.
• Synapse Burst (Active Deviation):
The Synapse Burst line measures the distance between the momentum curve and its adaptive baseline, revealing acceleration "bursts" or momentum drops as they occur.
How to Use
1. Add the oscillator to your chart (separate panel).
2. Read the color of the signal to determine the current market regime (bullish/bearish).
3. Observe the wave strength to gauge momentum continuity and pressure .
4. Use Synapse Burst spikes to confirm acceleration or deceleration in price movement.
5. Combine its insights with your risk management and main chart analysis.
EXAMPLE OF USE
EXAMPLE OF USE
Settings
• All parameters are internally preconfigured for stability and visual consistency.
• Colors and waves are optimized and not user-editable.
• Works on all markets and timeframes (panel overlay=false ).
Alerts (Recommended to Enable)
Two built-in alerts trigger on bar close when the regime changes:
• Bullish Cross → signal turning bullish .
• Bearish Cross → signal turning bearish .
Each alert includes the symbol and timeframe , ensuring you never miss a regime shift even when you’re away from the screen.
Limitations
• The oscillator confirms regime changes; it does not predict them.
• In low-volatility environments, transitions may appear more frequent.
• Past performance does not guarantee future results .
Access
This script is available under invite-only access .
To request access, use the link provided in the Signature below the publication.
Note: Technical analysis tool designed to study price momentum and structure. It does not constitute financial advice or guarantee performance.
Indicator published by PipGuard.
SRD
SRD v11 - Multi-Timeframe Volume Profile (POC, VAH, VAL)
Key Features
Dual Timeframe Analysis:
📈 Main Analysis (Daily): Calculates and displays the most significant levels based on a user-defined period of daily bars. This is ideal for identifying intraday and short-term trading opportunities.
📊 Strategic Analysis (Weekly): Plots key levels from a weekly perspective, giving you a broader, long-term view of market sentiment and structure. This can be toggled on or off.
Volume Profile Core Levels: The indicator automatically calculates and visualizes the three most important levels derived from volume analysis for both timeframes:
🎯 POC (Point of Control): The price level with the highest traded volume for the specified period. It acts as a powerful magnet for price and a key reference for market equilibrium.
🔴 VAH (Value Area High): The highest price level within the "Value Area" (where ~70% of the volume was traded). It often acts as a significant resistance zone.
🟢 VAL (Value Area Low): The lowest price level within the Value Area. It often serves as a strong support zone.
🟠 24-Hour High: An optional feature that plots the highest price reached in the last 24 hours, providing a crucial reference point for breakout and reversal traders.
Dynamic and Non-Repainting: The levels are calculated based on historical confirmed bars and update automatically as new periods (daily or weekly) close. The lines extend to the right, remaining relevant until a new calculation period begins.
Integrated Alert System: Never miss a key price interaction. The indicator includes a comprehensive alert system for:
Breakouts: Triggers when the price crosses above or below the POC, VAH, or VAL.
Touches: Triggers when the price touches one of these key levels without breaking through it (within a small tolerance).
Unified Alert: A single alert that notifies you of any of the above conditions.
Customization
The SRD v11 is fully customizable to fit your trading style. You can adjust:
Timeframes: Change the base timeframes for both the main (default Daily) and strategic (default Weekly) analysis.
Analysis Periods: Define the number of bars (days or weeks) to include in the Volume Profile calculation.
Visuals: Customize the color, width, and style (solid, dashed, dotted) of every line and label for clear and intuitive visualization.
Toggle Elements: Easily show or hide the strategic (weekly) analysis and the 24-hour high line.
How to Use It >
Identify Key Zones: Use the VAH (resistance) and VAL (support) lines to identify potential entry and exit zones. The area between VAH and VAL is the "Value Area," where the market has found acceptance.
Monitor the POC: The Point of Control is the ultimate level of equilibrium. Watch for price reactions around the POC. A sustained break above or below can signal a new trend.
Combine Timeframes: Use the strategic (weekly) levels as major, long-term points of interest and the main (daily) levels for your day-to-day trading setup. Confluence between levels from different timeframes can indicate extremely strong support or resistance.
Set Alerts: Configure alerts for breakouts or touches to be notified of critical market movements in real-time, even when you are away from the charts.
Dynamic FVG & Trap Zones📘 Dynamic FVG & Trap Zones (DFTZ)
A Hybrid Model Combining Imbalance Mapping, Volume Behavior, and Trap Detection
Concept Overview
“Dynamic FVG & Trap Zones” is built to visualize real-time Fair Value Gaps (FVGs) and identify liquidity trap events inside those gaps using adaptive volume filters and wick-based logic.
Traditional FVG indicators merely mark imbalance zones between consecutive candles, but this model goes further — it measures how volume reaction and price penetration inside those zones reveal potential f alse moves or trap formations by smart money.
⚙️ How It Works
1. FVG Detection
• A Bullish FVG is detected when low > high , showing a price void left by aggressive buying.
• A Bearish FVG forms when high < low , implying a selling imbalance.
• These zones are automatically drawn as semi-transparent boxes that extend forward for 10 bars and decay once they exceed the configurable lookback window.
2. Volume Normalization & Grading
• Every bar’s volume is compared against a dynamic SMA( volLookback ) average to calculate a Volume Grade = current vol / avg vol.
• Only bars exceeding the Min Volume Grade threshold are eligible to generate valid FVG zones, ensuring that low-participation moves are ignored.
• The Trap Volume Threshold sets how quiet the reaction bar must be (relative to average volume) to qualify as a trap event.
3. Trap Detection Logic
• Each active FVG zone monitors incoming candles.
• A potential trap is triggered when price re-enters the zone (body or wick depending on settings) but fails to expand with confirming volume.
• If the event occurs inside a Bullish FVG, it marks a Bear Trap (green zone turned red).
If it happens inside a Bearish FVG, it flags a Bull Trap (red zone turned green).
• This reversal in zone color visually conveys trapped liquidity and potential directional fade.
4. Exclusivity and Cooldown Control
• To avoid signal clustering, you can choose exclusivity modes:
Allow Both, Bear over Bull, or Bull over Bear.
• A built-in per-signal cooldown timer prevents back-to-back plots of the same type, enhancing signal clarity during rapid price action.
5. Adaptive Visualization
• Wick-based vs body-based trap detection (toggleable).
• Optional cooldown filtering on shapes ensures the chart only displays validated events.
• Old FVG boxes are pruned automatically beyond the chosen lookback horizon.
🧠 Why It’s Different
Unlike static FVG detectors or simple liquidity sweep tools, DFTZ blends:
• Volume context (Smart Volume Grade filtering)
• Behavioral trap detection within imbalance zones
• Dynamic cooldown mechanics that control over-signaling
• Forward-propagating zones that self-expire gracefully
This synergy makes it a compact yet powerful tool for visualizing imbalances + liquidity traps in one framework — ideal for discretionary traders combining SMC concepts with volume analytics.
📈 How to Use
• Primary Context: Use on 15 min to 1 h charts to spot active FVG zones forming after impulsive moves.
• Trap Signal Interpretation:
• 🔴 “Trap” below bar → Bullish reversal (Bear Trap).
• 🟢 “Trap” above bar → Bearish reversal (Bull Trap).
• Combine With: Market structure breaks, VWAP, or delta volume tools to confirm true reversal intent.
• Alerts: All major events (FVG creation & trap confirmation) trigger ready-to-use alerts for automation or back-testing.
🧩 Customization
Setting Function
Max FVG Lookback Controls how long old zones remain active.
Volume SMA Period Defines the baseline for volume grading.
Min Volume Grade & Trap Volume Threshold Tune the sensitivity of trap confirmation.
Wick-Based Trap Detection Enable to capture wick rejections inside zones.
Signal Cooldown Prevents rapid multiple plots on successive bars.
⚠️ Disclaimer
This tool is designed for educational and analytical purposes only. It does not constitute financial advice or guarantee trading performance. Always conduct your own analysis and risk management before entering a position.
God of Scalping BTCUnleash divine precision in the chaotic realm of BTC scalping with the God of Scalping BTC—a bespoke, price-action powerhouse crafted for lightning-fast entries and exits on 1-5 minute charts. Forged from raw momentum velocity (no recycled RSI or MACD here), this indicator detects micro-trend accelerations to pinpoint surge moments where BTC's volatility bends to your will.Core Mechanics:Velocity Engine: Calculates fast (default: 3-bar) and slow (default: 8-bar) price speeds, then derives normalized acceleration using ATR (14-bar) to filter noise in BTC's wild swings.
Surge Detection: Smoothed signal line confirms crossovers—bullish when acceleration surges above signal with positive bias; bearish on the downside.
Volume Guardian: Triggers only on 20%+ volume spikes above its EMA (10-bar), ensuring conviction behind the chaos.
Visual Oracle:Blue/Red Lines: Fast (EMA close, 3-bar) and slow (EMA close, 8-bar) velocity trends for trend context.
Background Glow: Subtle green/red tint for real-time momentum bias.
Divine Arrows: Green triangles below bars for BUY surges; red above for SELL—your scalp signals from the heavens.
Scalping Ritual:Optimal Altar: Load on BTCUSD/USDT (1m-5m). Tune lengths for your broker's feed.
Invocation: Enter long on green arrow (target 0.1-0.3% gains), short on red. Tight stops at recent swings; exit on opposite signal or threshold breach (1.5x mult).
Alerts: Built-in notifications—"God Surge Buy: BTC Scalp Entry!"—to summon you mid-prayer (er, trade).
Backtested for BTC's fury, this isn't a holy grail, but a scalper's Excalibur: pure, adaptive, and unyielding. Trade wisely—markets are mortal, your edge is eternal.
