Up/Down Volume Delta %this script is based on FractalTrade_'s rendition of the up/down volume bars.
the shortcomings of that chart were that large volume bars caused the auto-scaling to shrink smaller volume bar displays to the point where much of the data was too small to see.
in this chart, the bars are displaying the percent delta out of the total bar volume. this way, large overall volume bars do not cause visual compression to everything else in the chart.
I've used color modulation to indicate relation to a relative volume point, so users can still tell when overall volume is large or small. when volume is under a moving average, the bars will display at a basis transparency. when the volume is over the average, the brightness will increase up to a specific ratio of volume defined by the user.
for example, if basis transparency is at 20, and the full opacity ratio is at 3, and the volume average is at 1M, a volume of 750k will display the delta bar at the basis transparency. a volume of 3M will achieve full brightness. a volume of 2M will display with moderate brightness (about 60%), but still stand out against other bars with basis transparency.
areas of the chart that are either increasing bar sizes or increasing in brightness can indicate directional force. when volume delta direction contradicts the candle direction, this can indicate support / resistance.
Cerca negli script per "relative volume"
VWAP/VOL [Extension] | FractalystWhat's the indicator's purpose and functionality?
The VWAP/VOL Extension is designed specifically as a bias identification system for the Quantify Trading Model.
This extension uses volume-weighted average price analysis combined with institutional volume classification to automatically detect market bias without requiring optimization periods that lead to overfitting.
The system provides real-time bias signals (bullish/bearish/neutral) that integrate directly with Quantify's machine learning algorithms, enabling institutional-level backtesting and automated entry/exit identification based on genuine market structure rather than curve-fitted parameters.
How does this extension work with the Quantify Trading Model?
The VWAP/VOL Extension serves as the bias detection engine for Quantify's automated trading system.
Instead of manually selecting bias direction, this extension automatically identifies market bias using:
- Volume-weighted VWAP analysis with three-state detection (bullish/bearish/neutral)
- Institutional volume classification using relative volume thresholds without optimization
- Non-repainting architecture ensuring consistent bias signals for Quantify's machine learning
The extension outputs bias signals that Quantify uses as input through the `input.source()` function, allowing the Trading Model to focus on optimal entry/exit timing while the extension handles bias identification.
Why doesn't this use optimization periods like other indicators?
The VWAP/VOL Extension deliberately avoids optimization periods to prevent overfitting bias that destroys out-of-sample performance. The system uses:
- Fixed mathematical thresholds based on market structure principles rather than optimized parameters
- Relative volume analysis using standard 2.0x/0.5x ratios that work across all market conditions
- VWAP distance calculations based on percentage thresholds without curve-fitting
- Gap enforcement using fixed 5-bar minimums for disciplined bias detection
This approach ensures the bias signals remain robust across different market regimes without the performance degradation typical of over-optimized systems.
Can this extension be used independently for discretionary trading?
No, the VWAP/VOL Extension is specifically engineered to work as a component within the Quantify ecosystem. The extension is designed to:
- Provide bias input for Quantify's machine learning algorithms
- Enable automated backtesting through systematic bias identification
- Support institutional-level analysis when combined with Quantify's ML entry model
Using this extension independently would miss the primary value proposition of systematic entry/exit optimization that Quantify provides.
The extension handles bias detection so Quantify can focus on probability-based trade timing and risk management.
How does this enable institutional-level backtesting?
The extension transforms discretionary bias identification into systematic institutional analysis by:
- Eliminating subjective bias selection through automated VWAP/volume analysis
- Providing consistent historical signals with non-repainting architecture for accurate backtesting
- Integrating with Quantify's algorithms to identify optimal entry patterns based on objective bias states
- Enabling performance analysis across multiple market regimes without optimization bias
This combination allows Quantify to run institutional-grade backtests with consistent bias identification, generating reliable performance statistics and risk metrics that reflect genuine market edge rather than curve-fitted results.
How do I integrate this with the Quantify Trading Model?
Integration enables institutional-grade systematic trading through advanced machine learning and statistical validation:
- Add both VWAP/VOL Extension and Quantify Trading Model to your chart
- Select VWAP/VOL Extension as the bias source using input.source()
- Quantify automatically uses the extension's bias signals for entry/exit analysis
- The built-in machine learning algorithms score optimal entry and exit levels based on trend intensity, volume conviction, and market structure patterns identified by the extension
The extension handles all bias detection complexity while Quantify focuses on optimal trade timing, position sizing, and risk management along with PineConnector automation
What markets and assets does the VWAP/VOL Extension work best on?
The VWAP/VOL Extension performs optimally on markets with consistent, high-volume participation since the system relies on institutional volume analysis for bias detection. Futures markets provide the most reliable performance due to their centralized volume data and continuous institutional participation.
Recommended Futures Markets:
- ES (S&P 500 E-mini) - Over 2 million contracts daily volume, excellent liquidity depth
- NQ (NASDAQ-100 E-mini) - Around 600,000 contracts daily, strong tech sector representation
- YM (Dow Jones E-mini) - Consistent institutional flow and volume patterns
- RTY (Russell 2000 E-mini) - Small-cap exposure with reliable volume data
- GC (Gold Futures) - High volume commodity with institutional participation
- CL (Crude Oil Futures) - Energy sector representation with strong volume consistency
Why Futures Markets Excel:
- Futures markets provide centralized volume reporting, ensuring the extension's volume classification system receives accurate institutional participation data. The standardized contract specifications and continuous trading hours create consistent volume patterns that the extension's algorithms can analyze effectively.
Acceptable Timeframes and Portfolio Integration:
- Any timeframe that can be evaluated within Quantify Trading Model's backtesting engine is acceptable for live trading implementation.
The extension is specifically designed to integrate with Quantify's portfolio management system, allowing multiple strategies across different timeframes and assets to operate simultaneously while maintaining consistent bias identification methodology across the entire automated trading portfolio.
Legal Disclaimers and Risk Acknowledgments
Trading Risk Disclosure
The VWAP/VOL Extension is provided for informational, educational, and systematic bias detection purposes only and should not be construed as financial, investment, or trading advice. The extension provides volume-weighted institutional analysis but does not guarantee profitable outcomes, accurate bias predictions, or positive investment returns.
Trading systems utilizing bias detection algorithms carry substantial risks including but not limited to total capital loss, incorrect bias identification, market regime changes, and adverse conditions that may invalidate volume-based analysis. The extension's performance depends on accurate volume data, TradingView infrastructure stability, and proper integration with Quantify Trading Model, any of which may experience data errors, technical failures, or service interruptions that could affect bias detection accuracy.
System Dependency Acknowledgment
The extension requires continuous operation of multiple interconnected systems: TradingView charts and real-time data feeds, accurate volume reporting from exchanges, Quantify Trading Model integration, and stable platform connectivity. Any interruption or malfunction in these systems may result in incorrect bias signals, missed transitions, or unexpected analytical behavior.
Users acknowledge that neither Fractalyst nor the creator has control over third-party data providers, exchange volume reporting accuracy, or TradingView platform stability, and cannot guarantee data accuracy, service availability, or analytical performance. Market microstructure changes, volume reporting delays, exchange outages, and technical factors may significantly affect bias detection accuracy compared to theoretical or backtested performance.
Intellectual Property Protection
The VWAP/VOL Extension, including all proprietary algorithms, volume classification methodologies, three-state bias detection systems, and integration protocols, constitutes the exclusive intellectual property of Fractalyst. Unauthorized reproduction, reverse engineering, modification, or commercial exploitation of these proprietary technologies is strictly prohibited and may result in legal action.
Liability Limitation
By utilizing this extension, users acknowledge and agree that they assume full responsibility and liability for all trading decisions, financial outcomes, and potential losses resulting from reliance on the extension's bias detection signals. Fractalyst shall not be liable for any unfavorable outcomes, financial losses, missed opportunities, or damages resulting from the development, use, malfunction, or performance of this extension.
Past performance of bias detection accuracy, volume classification effectiveness, or integration with Quantify Trading Model does not guarantee future results. Trading outcomes depend on numerous factors including market regime changes, volume pattern evolution, institutional behavior shifts, and proper system configuration, all of which are beyond the control of Fractalyst.
User Responsibility Statement
Users are solely responsible for understanding the risks associated with algorithmic bias detection, properly configuring system parameters, maintaining appropriate risk management protocols, and regularly monitoring extension performance. Users should thoroughly validate the extension's bias signals through comprehensive backtesting before live implementation and should never base trading decisions solely on automated bias detection.
This extension is designed to provide systematic institutional flow analysis but does not replace the need for proper market understanding, risk management discipline, and comprehensive trading methodology. Users should maintain active oversight of bias detection accuracy and be prepared to implement manual overrides when market conditions invalidate volume-based analysis assumptions.
Terms of Service Acceptance
Continued use of the VWAP/VOL Extension constitutes acceptance of these terms, acknowledgment of associated risks, and agreement to respect all intellectual property protections. Users assume full responsibility for compliance with applicable laws and regulations governing automated trading system usage in their jurisdiction.
Dominant Smoothed Volume Pro Smoothed Volume Pro provides a useful tool designed to provide traders with a deeper understanding of market dynamics by analyzing buy and sell volume across multiple timeframes. Unlike traditional volume indicators, this script normalizes volume data from lower timeframes to align with the current chart's timeframe, providing an apples-to-apples comparison. The result is a visual histogram representation of the dominant buy or sell activity, smoothed over 5 different periods to reflect momentum shifts and enhance clarity.
Core Methodology
1. Multi-Timeframe Volume Analysis
This indicator leverages data from five different lower timeframes, each chosen dynamically based on the current chart's timeframe. By aggregating and normalizing these granular data points, the indicator captures subtle shifts in buy and sell volume that might otherwise go unnoticed. This multi-timeframe approach allows for a more detailed and accurate representation of market activity.
2. Data Normalization
Normalization is a critical component of this indicator. It ensures that volume data from lower timeframes is scaled appropriately to match the total volume of the current chart's timeframe. This step eliminates discrepancies caused by varying time intervals, providing a more meaningful comparison of volume trends across different periods.
3. Smoothing for Momentum Representation
The indicator employs five customizable smoothing factors to smooth out noisy volume data.
Each smoothing factor is distinctly color-coded in the histogram and table for intuitive analysis, helping traders quickly identify prevailing trends.
Features and Benefits
➖Customizable Smoothing Factors: Choose from five different smoothing factors, each with its unique settings for line styles, colors, and extensions.
➖Normalized Buy and Sell Volume: Displays normalized buy and sell volumes as a percentage of total activity, aiding in quick decision-making.
➖Visual Cues: Color-coded columns and labels help identify dominant trends at a glance, with high-opacity fills for visual clarity.
➖Dynamic Table: A built-in table summarizes smoothed volume data for each smoothing factor, offering a quick overview of bullish and bearish percentages.
➖Momentum Signals: Detect significant shifts in volume momentum with visually distinct alerts for high relative volumes, including special symbols like "⚡" and "🔥."
Practical Applications
➖Identifying Market Sentiment: Quickly determine whether the market is dominated by buyers or sellers at any given moment.
➖Spotting Reversals: Use momentum shifts in smoothed volume to anticipate potential trend reversals.
➖Enhancing Entry and Exit Points: Combine this indicator with other technical tools to refine entry and exit points in your trading strategy.
Why This Indicator Stands Out
Many existing volume indicators focus solely on raw or single-timeframe data, which can be misleading or incomplete. This indicator sets itself apart by:
Utilizing multi-timeframe data to provide a holistic view of market activity.
Applying robust normalization techniques to ensure data consistency.
Offering advanced smoothing options to emphasize actionable momentum signals.
This unique combination of features makes it an indispensable tool for traders seeking to enhance their market analysis and decision-making process.
As always, by combining the Smoothed Volume Pro with other tools, traders ensure that they are not relying on a single indicator. This layered approach can reduce the likelihood of false signals and improve overall trading accuracy.
Here's an additional visual representation using the plot fills:
Open Interest Ribbon Trend [Orderflowing]Open Interest Data Aggregation | Multiple Exchange Sources | Open Interest Delta & Relative Volume | Ribbon Trend Analysis & Forecasting
Built using Pine Script V5.
Introduction
The Open Interest Ribbon Trend Indicator is designed to offer traders analysis of Open Interest across multiple exchanges, merging volume-based analysis with Ribbon Trend. Practically Integrating Open Interest data with customizable trend detection.
This Indicator pulls Open Interest data from major cryptocurrency exchanges Binance, Bybit, BitMEX, Kraken, and Bitfinex, combining these sources into a aggregated format. With Ribbon Trend logic, the tool can potentially help identify trend shifts in the open interest data.
Use of Open-Source Code
Specific parts of this Indicator's code have been inspired by & further developed from publicly available code originally developed for the MetaTrader platform.
All such integrations have been wired to work within the TradingView environment, specifically using Pine Script Version 5.
Elements have been made to benefit the overall functionality, the code logic, to make sure it offers unique value to TradingView's users.
Innovation and Inspiration
This Indicator builds on Open Interest analysis by integrating the Ribbon Trend component. It is inspired by the potential need for traders to aggregate volume data with trend-following methods to see potential direction, strength, and reversals. It combines Open Interest Delta with relative volume analysis.
How To Use Open Interest - Cheat Sheet
The Open Interest Cheat Sheet outlines four primary scenarios based on the relationship between Price Action and Open Interest.
Bullish Market
Price Up + Open Interest Up
This indicates that long positions are being opened, signaling a strong market.
The uptrend is likely to continue as traders increase their positions in the direction of the price movement.
A strong market where the uptrend should persist.
Neutral Bullish (Long Squeeze)
Price Down + Open Interest Down
Positions are being closed, particularly long positions, which are being squeezed out of the market.
This suggests a neutral or slightly bullish outlook as the downtrend weakens.
The market is neutral or slightly bullish, with a potential weakening of the downtrend.
Neutral Bearish (Short Squeeze)
Price Up + Open Interest Down
Short positions are being closed, indicating a short squeeze.
While price is increasing, the decrease in OI reflects weakening momentum.
The uptrend could be losing strength.
Neutral to slightly bearish, as the uptrend may be weakening.
Bearish Market
Price Down + Open Interest Up
Short positions are being opened, indicating a weak market.
The downtrend is likely to continue as traders open new positions betting on further price declines.
A weak market where the downtrend is expected to continue.
OI Going Up usually means traders are opening new positions in the direction of price action.
OI Going Down often indicates positions are being closed, which could signal a potential price reversal.
Core Features
Multi-Exchange Open Interest Data
Aggregates Open Interest from multiple exchanges
Open Interest Delta & Relative Volume
Example
1st Oscillation: Open Interest Delta & 2nd Oscillation Relative Volume
Includes options to display Open Interest Delta alongside Relative Volume, allowing traders to monitor market participation and volume pressure.
Ribbon Trend Analysis
Uses customizable MAs to create a Ribbon Trend visualization. The goal is to visualize trends in the aggregated Open Interest data.
High Market Activity Visuals
Option to highlight relatively significant increases or decreases in the Open Interest, color-coded for identification.
Forecasting Feature
Includes Ribbon Trend's forecasting feature that projects future trends based on current market conditions, providing a forward-looking view of potential market movements.
Application
Open Interest Aggregation
The Indicator pulls Open Interest data from cryptocurrency exchanges: Binance, Bybit, BitMEX, Kraken, and Bitfinex, aggregating this information to offer a view of volume participation.
Ribbon Trend Logic
The Ribbon Trend visually tracks direction, with customizable smoothing options. This feature allows traders to detect potential trend shifts and market momentum.
Delta & Relative Volume Analysis
By visualizing the Open Interest Delta alongside relative volume, traders can identify moments of intense buying or selling pressure, giving potential clues on how market participants are positioned.
High-Volume Visuals
Traders can receive visual cues for significant changes in Open Interest, potentially helping to spot large market movements before they happen.
Customization
Moving Average Types. Select from EMA, DEMA, HMA, Laguerre, and others for Ribbon Trend logic.
Color Customization. Set different colors for uptrends and downtrends, making it easier to follow the Ribbon Trend.
Thresholds & Alerts. Customize the thresholds for significant Open Interest changes to suit your trading style.
Conclusion
The Open Interest Ribbon Trend Indicator is a tool for traders looking to integrate Open Interest data with trend analysis. Its multi-exchange aggregation and integrated trend logic offers a different perspective, providing visuals potentially useful for trend following, market reversals, and volume-based trading strategies.
Disclaimer
While the Indicator is a tool to analyzing trends in open interest & volume, traders should not solely rely on it for trading decisions. As with all trading tools, it should be used as part of a complete trading strategy.
Note that the is independent from the script. This Indicator focuses specifically on analyzing Open Interest and volume trends.
BX-Volume Trend and OscillatorBX-Volume Trend and Oscillator (VTO)
This is my second indicator. I created this indicator for myself. I was inspired by the indicators created by Bjorgum, Duyck and QuantTherapy and decided to create multiple indicators that either work well combined with their indicators or something new that applies some of their indicator concepts. I decided to share this because I believe in learning and earing together as a community. I will later share the rest of the indicators I have created. If you guys have any questions or suggestions write them.
The BX-Volume Trend and Oscillator (VTO) is a comprehensive trading indicator designed to help traders identify trends, momentum shifts, and potential reversals by analyzing volume and price action through various metrics. This indicator combines relative volume analysis with custom Xtrender oscillators and moving averages to provide valuable insights into market behavior.
Image: BX-Volume Trend and Oscillator (VTO)
Features:
Relative Volume Analysis: Measures the current volume relative to the average volume over a specified period, helping traders understand if the current trading activity is unusually high or low.
Short-Term Xtrender Oscillator: This oscillator analyzes the difference between two short-term Exponential Moving Averages (EMAs) and smooths it with a custom RSI, highlighting short-term trends and potential reversal points.
Long-Term Xtrender Oscillator: Similar to the short-term oscillator but uses longer-term EMAs and RSI for identifying more sustained trends and shifts.
T3 Moving Average: A smoothed version of the Xtrender oscillator that helps in detecting trend changes more clearly.
Volume Trend Plot: Shows the smoothed relative volume to understand how trading activity aligns with the trend.
Visual Indicators: Uses colors and shapes to highlight significant changes and trends, such as circles to mark potential reversal points.
How to Use the Indicator
Analyze Relative Volume:
Relative Volume Plot: The smoothed relative volume is displayed in white, helping you assess if current trading volumes are above or below the historical average.
High Relative Volume: Indicates strong trading interest, which could support or contradict the prevailing trend.
Image above: is set to daily timeframe
Monitor Short-Term Xtrender Oscillator
Short-Term Xtrender: Plotted as a column histogram with colors changing from green to red based on the oscillator's movement and momentum. Green and lime colors indicate bullish trends, while maroon and red suggest bearish conditions.
Smoothed Short-Term Xtrender (T3): Plotted as a line that adjusts color based on the short-term Xtrender's trend. The line changes color to match the histogram's color, providing a clearer view of momentum shifts.
Reversal Markers: Small circles indicate potential short-term trend reversals, where changes in the T3 moving average suggest shifts in momentum.
Assess Long-Term Xtrender Oscillator:
Long-Term Xtrender: Plotted as a histogram, with color changes similar to the short-term Xtrender. It shows longer-term trends and shifts.
Color Indicators: Lime and green colors suggest an uptrend, while red and maroon indicate a downtrend.
Look for Zero Line Crossings:
The zero line serves as a reference point. Crossings above the zero line may indicate bullish trends, while crossings below may signal bearish trends.
Image above: is set to daily timeframe, and it showcases the Short-Term Xtrender (T3) applied.
Image above: is set to 8hr timeframe: Using the lower timeframe you can spot better details of pullbacks and potential reversals.
Example of Use:
Identify Trend and Momentum: Use the combination of the short-term and long-term Xtrender oscillators to gauge the prevailing market trend. For instance, if both oscillators are above zero and showing upward momentum, it suggests a strong bullish trend.
Spot Reversals: Observe the short-term Xtrender and its smoothed T3 version. If the T3 line changes direction and crosses through previous peaks and troughs, it could signal a potential reversal.
Volume Confirmation: Check the relative volume and its smoothed version to confirm the strength of price movements. Significant changes in volume can validate the trends indicated by the Xtrender oscillators.
By combining these elements, the BX-Volume Trend and Oscillator (VTO) provides a holistic view of market dynamics, helping traders make more informed decisions based on trend strength, potential reversals, and volume activity.
Lastly, my Scripts/Indicators/Ideas /Systems that I share are only for educational purposes!
Volatility Volume IndicatorIntroducing the Volatility Volume Indicator (𝓥𝓥𝓘) , a sophisticated tool designed to provide traders and investors with deeper insights into market dynamics by analyzing the interplay between price movements and trading volume. This indicator, built with the latest Pine Script version 5, leverages advanced calculations to deliver a clear, visual representation of market volatility and volume trends. Whether you are a day trader looking for intraday opportunities or a long-term investor seeking to understand market behavior, the 𝓥𝓥𝓘 is an invaluable addition to your trading arsenal.
Explanation of the Logic
The Volatility Volume Indicator (𝓥𝓥𝓘) is constructed on a foundation of key market metrics: high, low, open, and close prices, along with volume data. It begins by breaking down each price bar into its upper, lower, and body components, which are then used to calculate the proportional contributions of these segments to the overall price movement. This analysis allows the indicator to distinguish between different types of price action, whether bullish or bearish.
Volume normalization is a crucial aspect of the 𝓥𝓥𝓘, where the current volume is compared against its exponential moving average to gauge relative volume strength. This normalized volume is then used to compute bullish and bearish volumes separately, providing a granular view of market sentiment. These volumes are smoothed over a specified period to reduce noise and highlight significant trends.
The volatility component of the 𝓥𝓥𝓘 is integrated by analyzing the relationship between price range and volume. The indicator calculates the range of each price bar (the difference between the high and low) and breaks it down into upper and lower segments relative to the open and close prices. By examining how much of the total price movement is due to the body of the candlestick versus the wicks, the 𝓥𝓥𝓘 can determine periods of high and low volatility. When combined with volume data, this approach provides a comprehensive view of how volatile price movements are supported or contradicted by trading volume.
The final output is a visual plot that color-codes the combined volume difference, offering clear signals based on the balance between bullish and bearish pressures. The bar coloring adds another layer of interpretation:
Bright Blue: Indicates strong volume and volatility to the upside, signaling robust bullish activity.
Dark Blue: Indicates weak volume and volatility to the upside, suggesting less intense bullish movements.
Dark Red: Indicates weak volume and volatility to the downside, pointing to subdued bearish activity.
Bright Red: Indicates strong volume and volatility to the downside, highlighting significant bearish pressure.
Use Cases for This Indicator in Trading and Investing
The 𝓥𝓥𝓘 is versatile and can be applied in various trading and investing scenarios. Day traders can use it to identify periods of high volatility and volume, which are often associated with potential breakout or breakdown points. By understanding the underlying volume dynamics, traders can make more informed decisions about entry and exit points, improving their chances of capturing significant price moves.
For swing traders and long-term investors, the 𝓥𝓥𝓘 helps in spotting sustained trends and potential reversals. By analyzing the cumulative bullish and bearish volumes, investors can better gauge market sentiment and the strength of ongoing trends. This can aid in confirming the viability of trend-following strategies or in identifying overbought or oversold conditions, thus enhancing risk management and strategic planning.
Main flaw :
Why Do I Keep It Closed Source
The decision to keep the Volatility Volume Indicator (𝓥𝓥𝓘) closed source stems from several important considerations. First and foremost, this indicator encapsulates a unique methodology and proprietary calculations that differentiate it from other tools available in the market. By keeping the source code private, we protect the intellectual property and maintain the competitive edge that this sophisticated analysis provides.
Additionally, a closed-source approach ensures that the integrity of the indicator remains intact. Users can trust that the 𝓥𝓥𝓘 they are using is free from unauthorized modifications or errors introduced by third-party alterations. This guarantees consistent performance and reliability, which is critical for making accurate trading and investing decisions. Finally, keeping the code closed source allows for controlled updates and enhancements, ensuring that users always have access to the most refined and effective version of the indicator.
Volume PlusVolume plus provides volume insights to identify increase or decrease in relative volume or sudden volume expansion that exceeds the average. Based on the period selected the script displays the color code.
Features
1. Two different sensitivity levels can be selected for volumes and coloring.
2. Whenever the volume is higher than the selected SMA, volume bars will change color.
3. Can Plot 20 SMA (can be changed)
Hopiplaka Goldbach System with SignalsThis tool builds a dynamic price framework around the current market using a PO3 range and a set of mathematically derived Goldbach levels. It then scores nearby levels for quality (reliability) and produces Buy/Sell signals only when multiple, independent factors line up (price level quality, trend/“Tesla Vortex” state, ICT AMD phase, time confluence, volume bias, and momentum). The goal is to identify high-confluence inflection points rather than constant signals.
Core Concepts & Why They’re Combined
1. PO3 Range Framework
Price is segmented into a primary range (lower → upper) determined by a configurable size (3× ladder: 3, 9, 27, …, 2187).
⦁ If price sits near a boundary (configurable sensitivity), the range can auto-expand to the next 3× size to better fit current volatility.
⦁ This gives a stable “map” of the active trading area and its boundaries.
2. Goldbach Levels (Pure Hopiplaka implementation)
For each even number ≤ your precision limit, the script evaluates all prime-sum partitions (Goldbach partitions) and converts their prime ratios into price levels inside the PO3 range.
⦁ Levels are classified as Premium / Standard / Discount based on properties of the prime pair and a mathematical weighting.
⦁ Strict minimum spacing rules (exact %, OB %, liquidity-void %) prevent clutter and keep only the most meaningful levels.
3. Tesla Vortex (trend/phase strength)
A volatility/trend-aware state machine estimates whether market is in MMxM (accumulation/mean-revert like) or TREND conditions and maps price interaction with high-quality levels to phases (e.g., Order Block Formation, Distribution).
⦁ This helps filter signals: buys favored in MMxM near supportive levels; sells favored in TREND near premium/liquidity levels, etc.
4. ICT Integration (AMD, IPDA bias hooks)
A lightweight AMD phase detector classifies the recent window into Accumulation / Manipulation / Distribution and marks market structure bias. This is used as confluence with level quality and trend state.
5. Time Confluence (Goldbach time)
Swing highs/lows are checked against Goldbach-valid timestamps (based on hour+minute sums decomposable into prime pairs). Repeated alignment adds time-bias confidence. When price and time align, level reliability is boosted.
6. Volume & Liquidity Context
A rolling volume baseline marks High/Low Volume Bias; levels can be volume-weighted (raising or lowering their reliability). Proximity to PO3 extremes flags pending liquidity sweeps.
Why this mashup?
The system blends price geometry (PO3 + Goldbach), state/trend (Tesla Vortex), market-microstructure (ICT AMD), time confluence, and volume/liquidity into one numerically scored signal. Each component answers a different question; together they reduce false positives and favor high-quality trades near meaningful levels.
What You’ll See on the Chart
⦁ PO3 Range Boundaries: two dashed lines (“lower” and “upper”). Auto-expand darkens the boundary style slightly.
⦁ Goldbach Levels: horizontal lines colored by classification and context:
⦁ Premium (strong premium band), Standard, Discount
⦁ OB (Order-Block candidate), LV (Liquidity Void)
⦁ TESLA node (trend/phase aligned)
⦁ Heavier width = higher reliability; dashed/dotted styles encode class differences.
⦁ PO3 Liquidity Boxes: narrow yellow shaded bands above/below each level (configurable pip distance).
⦁ Markers
⦁ ▲ Buy arrow below bar when a Buy signal triggers
⦁ ▼ Sell arrow above bar when a Sell signal triggers
⦁ ● Small dot when price touches a Goldbach level
⦁ Data-window plots:
⦁ Tesla Vortex Strength (numeric)
⦁ Time Bias (positive = bullish, negative = bearish)
⦁ Volume Bias (+1 high / −1 low)
⦁ Signal Strength (+ for buy / − for sell, zero when no signal)
⦁ Label Legend (on level tags)
⦁ TESLA – Tesla-aligned level node
⦁ OB – Order-block-quality zone
⦁ LV – Liquidity-void zone
⦁ Premium / Standard / Discount – Level class
⦁ Gxx – Even number used to build the level (Goldbach reference)
⦁ Reliability – Final score after time/volume/tesla weighting
⦁ Optional extras: Vol (relative volume weight), Time (time-confluence strength)
How Signals Are Generated
A signal is proposed when price comes within a minimum distance of a high-reliability level. It is then accepted only if enough of these independent checks pass (you control the required count):
1. Tesla Vortex state matches direction (e.g., MMxM with buy; TREND with sell).
2. ICT AMD phase aligns (Accumulation → buy bias; Distribution → sell bias).
3. Goldbach time bias supports the direction.
4. Volume bias supportive (high-volume context boosts conviction).
5. Level quality (TESLA node or Premium class) is high.
6. Momentum alignment (recent 2–3 bars in the same direction).
Only when confluence ≥ your threshold and confidence ≥ 0.5 (scaled by sensitivity) will a Buy/Sell arrow print. Cooldown prevents rapid repeats.
Inputs (key ones)
⦁ PO3 Settings: range size, auto-expansion toggle, expansion sensitivity, liquidity band distance.
⦁ Goldbach Mathematics: precision limit, exact spacing rules, spacing for OB/LV classes.
⦁ Trading Signals: master toggle, sensitivity, min reliability, confluence required, cooldown, min distance to level, markers on/off.
⦁ Tesla Vortex / ICT: enable Vortex, sensitivity; enable AMD/IPDA analysis and lookback.
⦁ Time & Volume: enable Goldbach time and weighting; volume lookback; liquidity-pool detection.
⦁ Display: show historical/future projections, number of future bars, labels, path/phase overlays.
⦁ Colors: full palette per class/context (premium/discount/OB/LV/Tesla/time/volume, buy/sell/goldbach hit).
Alerts Included
⦁ Signals: “BUY Signal Generated”, “SELL Signal Generated”
⦁ Level Interactions: “Goldbach Level Hit”; “Near Goldbach Level”; “Tesla Vortex Node”; “Premium Level Alert”
⦁ PO3: “PO3 Upper Break”, “PO3 Lower Break”, “PO3 Range Expansion”
⦁ State Changes: “Tesla Vortex Phase Change”
⦁ Context: “Liquidity Sweep Imminent”, “Strong Time Confluence”
You can wire these to webhooks or notifications.
Suggested Workflow
1. Choose PO3 size that matches your instrument’s volatility; keep Auto-Expansion ON initially.
2. Set confluence threshold (start at 3–4) and cooldown (e.g., 10 bars).
3. Keep Time and Volume modules ON for additional reliability weighting.
4. Use arrows as filters, not blind entries—confirm with your execution plan and risk rules.
5. Prefer signals near Premium/Discount TESLA nodes that also show time confluence and supportive volume.
Practical Notes & Limitations
⦁ The mathematical framework is deterministic, but market execution is not—always manage risk.
⦁ Future projections and heavy labeling can be resource-intensive; tune visibility if performance drops.
⦁ If a market is extremely illiquid or gap-prone, spacing/filters may hide many levels (by design).
Disclaimer
This script is for educational and research purposes only and is not financial advice. Trading involves risk. You are responsible for your own decisions.
Low Volatility Breakout Detector)This indicator is designed to visually identify potential breakouts from consolidation during periods of low volatility. It is based on classic Bollinger Bands and relative volume. Its primary purpose is not to generate buy or sell signals but to assist in spotting moments when the market exits a stagnation phase.
Arrows appear only when the price breaks above the upper or below the lower Bollinger Band, the band width is below a specified threshold (expressed in percentage), and volume is above its moving average multiplied by a chosen multiplier (default is 1). This combination may indicate the start of a new impulse following a period of low activity.
The chart background during low volatility is colored based on volume strength—the lower the volume during stagnation, the less transparent the background. This helps quickly spot unusual market behavior under seemingly calm conditions. The background opacity is dynamically scaled relative to the range of volumes over a selected period, which can be set manually (default is 50 bars).
The indicator works best in classic horizontal consolidations, where price moves within a narrow range and volatility and volume clearly decline. It is not intended to detect breakouts from formations such as triangles or wedges, which may not always exhibit low volatility relative to Bollinger Bands.
Settings allow you to adjust:
Bollinger Band length and multiplier,
Volatility threshold (in %),
Background and arrow colors,
Volume moving average length and multiplier,
Bar range used for background opacity scaling.
Note: For reliable results, it’s advisable to tailor the volatility threshold and volume/background ranges to the specific market and timeframe, as different instruments have distinct dynamics. If you want the background color to closely match the color of breakout arrows, you should set the same volume analysis period as the volume moving average length.
Additional note: To achieve a cleaner chart and focus solely on breakout signals, you can disable the background and Bollinger Bands display in the settings. This will leave only the breakout arrows visible on the chart, providing a clearer and more readable market picture.
SwingTrade VWAP Strategy[TiamatCrypto]V1.1This Pine Script® code creates a trading strategy called "SwingTrade VWAP Strategy V1.1." This strategy incorporates various trading tools, such as VWAP (Volume Weighted Average Price), ADX (Average Directional Index), and volume signals. Below is an explanation of the components and logic within the script:
### Overview of Features
- **VWAP:** A volume-weighted moving average that assesses price trends relative to the VWAP level.
- **ADX:** A trend strength indicator that helps confirm the strength of bullish or bearish trends.
- **Volume Analysis:** Leverages volume data to gauge momentum and identify volume-weighted buy/sell conditions.
- **Dynamic Entry/Exit Signals:** Combines the above indicators to produce actionable buy/sell or exit signals.
- **Customizable Inputs:** Inputs for tuning parameters like VWAP period, ADX thresholds, and volume sensitivity.
---
### **Code Breakdown**
#### **Input Parameters**
The script begins by defining several user-configurable variables under groups. These include indicators' on/off switches (`showVWAP`, `enableADX`, `enableVolume`) and input parameters for VWAP, ADX thresholds, and volume sensitivity:
- **VWAP Period and Threshold:** Controls sensitivity for VWAP signal generation.
- **ADX Settings:** Allows users to configure the ADX period and strength threshold.
- **Volume Ratio:** Detects bullish/bearish conditions based on relative volume patterns.
---
#### **VWAP Calculation**
The script calculates VWAP using the formula:
\
Where `P` is the typical price (`(high + low + close)/3`) and `V` is the volume.
- It resets cumulative values (`sumPV` and `sumV`) at the start of each day.
- Delta percentage (`deltaPercent`) is calculated as the percentage difference between the close price and the VWAP.
---
#### **Indicators and Signals**
1. **VWAP Trend Signals:**
- Identifies bullish/bearish conditions based on price movement (`aboveVWAP`, `belowVWAP`) and whether the price is crossing the VWAP level (`crossingUp`, `crossingDown`).
- Also detects rising/falling delta changes based on the VWAP threshold.
2. **ADX Calculation:**
- Calculates the directional movement (`PlusDM`, `MinusDM`) and smoothed values for `PlusDI`, `MinusDI`, and `ADX`.
- Confirms strong bullish/bearish trends when ADX crosses the defined threshold.
3. **Volume-Based Signals:**
- Evaluates the ratio of bullish volume (when `close > VWAP`) to bearish volume (when `close < VWAP`) over a specified lookback period.
---
#### **Trade Signals**
The buy and sell signals are determined by combining conditions from the VWAP, ADX, and volume signals:
- **Buy Signal:** Triggered when price upward crossover VWAP, delta rises above the threshold, ADX indicates a strong bullish trend, and volume confirms bullish momentum.
- **Sell Signal:** Triggered under inverse conditions.
- Additionally, exit conditions (`exitLong` and `exitShort`) are based on VWAP crossovers combined with the reversal of delta values.
---
#### **Plotting and Display**
The strategy plots VWAP on the chart and adds signal markers for:
- **Buy/Long Entry:** Green triangle below bars.
- **Sell/Short Entry:** Red triangle above bars.
- **Exit Signals:** Lime or orange "X" shapes for exits from long/short positions.
- Additionally, optional text labels are displayed to indicate the type of signal.
---
#### **Trading Logic**
The script's trading logic executes as follows:
- **Entries:**
- Executes long trades when the `buySignal` condition is true.
- Executes short trades when the `sellSignal` condition is true.
- **Exits:**
- Closes long positions upon `exitLong` conditions.
- Closes short positions upon `exitShort` conditions.
- The strategy calculates profits and visualizes the trade entry, exit, and running profit within the chart.
---
#### **Alerts**
Alerts are set up to notify traders via custom signals for buy and sell trades.
---
### **Use Case**
This script is suitable for day traders, swing traders, or algorithmic traders who rely on confluence signals from VWAP, ADX, and volume momentum. Its modular structure (e.g., the ability to enable/disable specific indicators) makes it highly customizable for various trading styles and financial instruments.
#### **Customizability**
- Adjust VWAP, ADX, and volume sensitivity levels to fit unique market conditions or asset classes.
- Turn off specific criteria to focus only on VWAP or ADX signals if desired.
#### **Caution**
As with all trading strategies, this script should be used for backtesting and analysis before live implementation. It's essential to validate its performance on historical data while considering factors like slippage and transaction costs.
Quantum VRSIThe VRSI indicator is another in the suite of volume indicators we have developed and one that complements our volume price analysis methodology perfectly. and was developed out of a desire to build further on our cornerstone of VPA by peeling back the layers of volume and considering the relative aspect of volume. Hence, the acronym of Volume Relative Strength Index indicator encapsulates what the indicator is all about.
By analyzing relative volume, we are able to see a visual representation of the pressure in a trend, or indeed the lack of pressure, and in doing so, present in a clear, intuitive, and colorful way whether the trend we are trading or considering joining is being driven with constant or rising pressure as it develops. If so, the indicator gives us that all-important ingredient: confidence—namely, the confidence to continue maintaining the position for as long as possible. However, equally important is when we see a trend that is tiring, with falling pressure, sending a strong signal it is time to close out. Alternatively, when there is little or no pressure in the trend, this is a signal to wait and be patient.
These signals are delivered in a variety of ways, primarily through a color change sequence of brighter or darker colors, but equally importantly, based on the height of each pressure bar and its relationship to its neighbor or groups of bars. And herein lies the close relationship to the volume price analysis methodology since the interpretation of both is about judging bars against one in terms of confirmation of trends, such as rising volume and rising pressure bars, or alternatively falling volume and falling pressure bars signaling that the trend is weakening.
The Volume Relative Strength Index indicator, or VRSI, embodies the core concept of volume-price analysis. It blends trading volume data with price to create an indicator for all the various markets and instruments, whether stocks, ETFs, futures, forex, or cryptocurrencies. The result is an intuitive visual representation of the market’s underlying bullish and bearish pressure in the form of an oscillating histogram with varying colors, with the central fulcrum at zero giving a clear indication when sentiment is shifting from bullish to bearish, or vice versa.
Now, for the first time, you can see the strength of the trend represented visually and clearly based on our two leading indicators of relative volume and price, giving you that essential ingredient we all seek: confidence. And just as with all our other indicators, we urge you to use it in multiple timeframes.
Exceptional Volume Spike - Potential Trend Reversal IndicatorWhat the Script Does:
The indicator aims to identify potential trend reversal points using the following steps:
Input Parameters: The script has three main input parameters that you can adjust:
relative_volume_threshold: This parameter sets the threshold for what is considered an exceptional volume spike in relation to the average volume.
ema_length: The length of the exponential moving average (EMA) used for smoothing calculations.
lookback_period: The period over which the script calculates potential support and resistance levels.
Relative Volume Calculation: The script calculates the relative volume by dividing the current volume by the average volume over the specified lookback_period.
Exceptional Volume Spikes: The script identifies exceptional volume spikes when the calculated relative volume exceeds the specified relative_volume_threshold.
EMA of Exceptional Volume Spikes: The script calculates the exponential moving average (EMA) of volume spikes. This EMA smooths out the volume spikes over the chosen ema_length.
Trend Direction: The script determines the trend direction using the crossovers of the EMA of exceptional volume spikes. If the EMA crosses above the EMA of regular volume (not spikes), it suggests a potential upward trend reversal. Conversely, if the EMA crosses below, it suggests a potential downward trend reversal.
Support and Resistance Levels: The script calculates potential support and resistance levels based on the highest high (hh) and lowest low (ll) over the specified lookback_period. These levels are then plotted on the chart.
Plot Shapes and EMA: The script plots triangle shapes below the bars for potential upward reversals and above the bars for potential downward reversals. Additionally, it plots the EMA of the closing price with different colors based on the trend direction.
By using this script as an indicator on your chart, you can visually assess potential trend reversal points based on exceptional volume spikes, trend direction crossovers, and support/resistance levels. Remember that this script serves as a tool to assist your analysis, and it's important to combine it with other technical analysis tools and strategies before making trading decisions.
AutoLevels3.0AutoLevels is a script based on the ATR ( Average True Range ) of price action over the past 14 days. It calculates those and includes Fibonacci Extensions to create Levels that are Automatically created each morning. These are not based on past price action but are well respected and easily show patterns throughout the day.
Levels are made up of a BULL BAR , a BEAR BAR ( Go long above Bull, short below Bear Bar ) and the various extensions beyond them. Common Liquidity areas are also highlighted as tan/yellow bars. These are common reversal and contention levels should price action approach them.
Also included are 4 EMAs that have been transformed into 2 separate EMA clouds. These clouds will change color when bearish / bullish and crossing and signal up and downtrends and compress during chop. They are 100% customizable with your own EMA preference. Colors as well.
The Candles are Volume Based Candles. They default to Hollow candles when Volume is below the 24 moving average ( customizable ) and are filled solid when the volume for that time period has HIGH RELATIVE VOLUME. These are GREAT SIGNALS as price action approaches the levels that the AUTOLEVEL indicator generate. When a candle is filled and approaching a level it is likely to break through or attempting to. Low volume candles, hollow, show low conviction in price movement.
Aside from the Fibonacci Levels generated, the EMA Clouds and the Volume Candles you can also select how full or minimal your chart is. ( more levels to only a few ) Also you can extend all levels to the right for future charting or leave that selection off to only generate the static daily levels a few bars ahead.
You can also adjust the timeframe the Autolevels are generating levels for. 1 day is the current day. 1 month plots out a month of levels and is best used with the 1D timeframe.
You can look up my Twitter account for hundreds of examples of daily use.
Weis Wave Volume NumbersWhat is it?
This is an indicator to complement @modhelius' Weis Wave Volume Indicator.
Original code has been modified to display wave volume (cumulative) numbers above or below the latest candle of the corresponding wave on the main pane. Since we are concerned only with relative volume, VOLUME NUMBERS HAVE BEEN SCALED DOWN. (If you need actual volume numbers, uncheck "Scale Down Volume" option in Settings). Rising wave volume is denoted in green. Falling wave volume is denoted in red. Developing wave volume is postfixed with a '_'. Confirmed wave volumes won't have this.
Who is it for?
This indicator is useful if you already use Weis Waves in your analysis and could do with an additional numerical representation of the wave volume on the main pane. Can be used in conjunciton with @modhelius' Weis Wave Volume (WWV) indicator (need to be added separately) to complement the visual representation of the waves. Can be used independently as well.
Pelase note that if you use any other Weis Wave indicator (other than @modhelius'), the numbers and the waveforms might not match.
Neglected Volume by DGTVolume is one piece of information that is often neglected, however, learning to interpret volume brings many advantages and could be of tremendous help when it comes to analyzing the markets. In addition to technicians, fundamental investors also take notice of the numbers of shares traded for a given security.
What is Volume?
The volume represents all the recorded trades for a security that occurs in a given time interval. It is a measurement of the participation, enthusiasm, and interest in a given security. Think of volume as the force that drives the market. Volume substantiates, energizes, and empowers price. When volume increases, it confirms price direction; when volume decreases, it contradicts price direction.
In theory, increases in volume generally precede significant price movements. However, If the price is rising in an uptrend but the volume is reducing or unchanged, it may show that there’s little interest in the security, and the price may reverse.
A high volume usually indicates more interest in the security and the presence of institutional traders. However, a rapidly rising price in an uptrend accompanied by a huge volume may be a sign of exhaustion.
Traders usually look for breaks of support and resistance to enter positions. When security break critical levels without volume, you should consider the breakout suspect and prime for a reversal off the highs/lows
Volume spikes are often the result of news-driven events. Volume spike will often lead to sharp reversals since the moves are unsustainable due to the imbalance of supply and demand
note : there’s no centralized exchange where trades are recorded, so the volume data represents what happens at a particular exchange only
In most charting platforms, the volume indicator is presented as color-coded bars, green if the security closes up and red if the security closed lower, where the height of the bars show the amount of the recorded trades
Within this study, Relative Volume , Volume Weighted Bars and Volume Moving Average are presented, where Relative Volume relates current trading volume to past trading volume over long period, Volume Weighted Bars presents price bars colored based on short period past trading volume average, and Volume Moving Average is average of volume over shot period
Relative Volume is presented as color-coded bars similar to regular Volume indicator but uses four color codes instead two. Notable increases of volume are presented in green and red while average values with back and gray, hence adding ability to emphasis notable increases in the volume. It is kind of a like a radar for how "in-play" a security is. Users are allowed to change the threshold, default value is set to Fibonacci golden ration standard deviation away from its moving average.
Volume Weighted Bars, a study of Kıvanç Özbilgiç, aims to present if price movements are supported by Volume. Volume Weighted Bars are calculated based on shot period volume moving average which will reflect more recent changes in volume. Price actions with high volume will be displayed with darker colors, average volume values will remain as they are and low volume values will be indicated with lighter colors.
Volume Moving Average, Is short period volume moving average, aims to display visually the volume changes. Please not that Relative Volume bars are calculated based on standard deviation of long volume moving average.
What Else?
Apart from the volume itself, your ability to assess what volume is telling you in conjunction with price action can be a key factor in your ability to turn a profit in the market. It makes little sense to analyze the volume alone. To correctly interpret the volume data, it shall be seen in the light of what the price is doing. there are a lot of other indicators that are based on the volume data as well as price action. Analysing those volume indicators has always helped traders and investors to better understand what is happening in the market.
Here are the ones adapted with this study. Some of them used as a source for our aim, some adapted as they are with slight changes to fit visually to this study and please note that the numerical presentation may differ from their regular use
• On Balance Volume
• Divergence Indicator
• Correlation Coefficient
• Chaikin Money Flow
Shortly;
On Balance Volume
The On Balance Volume indicator, is a technical analysis indicator that relates volume flow to changes in a security’s price. It uses a cumulative total of positive and negative trading volume to predict the direction of price. The OBV is a volume-based momentum oscillator, so it is a leading indicator — it changes direction before the price
Granville, creator of OBV, proposed the theory that changes in volume precede price movements in a measurable way. He believed that volume was the main force behind major market moves and thought of OBV’s prediction of price changes as a compressed spring that expands rapidly when released.
It is believed that the OBV shows the interactions between the institutional and retail traders in the market
If the price makes a new high, the OBV should also make a new high. If the OBV makes a lower high when the price makes a higher high, there’s a classical bearish divergence — indicating that only the retail traders are buying. Another type of bearish divergence occurs when the price remains relatively quiet and fails to make a higher high but the OBV soars higher than the previous high — indicating that the institutional traders are accumulating short positions. On the other hand, if the price makes a lower low and the OBV makes a higher low, there is a classical bullish divergence, showing that the institutional traders don’t believe in that move
With this study, Momentum and Acceleration (optional) of OBV is calculated and presented, where momentum is most commonly referred to as a rate and measures the acceleration of the price and/or volume of a security. It is also referred to as a technical analysis indicator and oscillator that is able to determine market trends.
Additionally, smoothing functionality with Least Squares Method is added
Divergences especially, should always be noted as a possible reversal in the current trend, so the divergence indicator is adapted with this study where the Momentum of OBV is assumed as Oscillator with similar usages as to RSI. Divergence is most often used to track and analyze the momentum in an asset’s price and the odds of a price reversal within the current trend. The divergence indicator warns traders and technical analysts of changes in a price/volume trend, oftentimes that it is weakening or changing direction.
Correlation Coefficient
The correlation coefficient is a statistical measure of the strength of the relationship between the relative movements of two variables. A correlation of -1.0 shows a perfect negative correlation, while a correlation of 1.0 shows a perfect positive correlation. A correlation of 0.0 shows no linear relationship between the movement of the two variables. In other words, the closer the Correlation Coefficient is to 1.0, indicates the instruments will move up and down together as it is mostly expected with volume and price. So the Correlation Coefficient Indicator aims to display when the price and volume (on balance volume) is in correlation and when not. With this study blue represent positive correlation while orange negative correlation. The strength of the correlation is determined by the width of the bands, to emphasis the effect horizontal lines are drawn with values set to 0.5 and -0.5. the values above 0.5 (or below -0.5) shows stronger correlation.
Chaikin Money Flow , provide optionally as a companion indicator
The Chaikin money flow indicator (CMF) is a volume indicator that measures the money flow volume over a chosen period. The money flow volume is a measure of the volume and where the price closed relative to the trading session’s range. It comes from the idea that buying pressure is indicated by a rising volume and recurrent closes in the upper part of the session’s price range while selling pressure is demonstrated by an increasing volume and repeated closes in the lower part of the price range.
Both buying and selling pressures are accompanied by an increase in volume, but the location of the closing prices are in accordance with the direction of price
Special thanks to @InvestCHK and @hjsjshs , who have enormously contributed while preparing this study
related studies:
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Cnagda Liquidit Trading SystemCnagda Liquidit Trading System helps spot where price is likely to trap traders and reverse, then gives simple, actionable Level to entry, place SL, and take profits with confidence. It blends imbalance zones, trend bias, order blocks, liquidity pools, high-probability fake Signal, and context-aware candle patterns into one clean workflow.
🟩🟥 Imbalance boxes: “Crowd rushed, gaps left”
What it is: Green/red boxes mark fast, one-sided moves where price “skipped” orders—think FVG-like zones that often get revisited.
Why it helps: Price frequently pulls back to “fill” these zones, creating clean retest entries with logical stops.
⏩How to use:
Green box = potential demand retest; Red box = potential supply retest. Enter on pullback into box, not on first impulse. Put stop on far side of box and aim first targets at recent swing points.
↕️ Swing bias (HH/HL vs LH/LL): “Which way is the road?”
What it is: Higher-highs/higher-lows = up-bias; Lower-highs/lower-lows = down-bias. system plots Buy/Sell OB levels aligned with that bias.
Why it helps: Trading with the broader flow reduces “hero trades” against institutions. Bias gives clearer entries and cleaner drawdowns.
⏩How to use:
Up-bias: look for long on Buy OB retests. Down-bias: look for short on Sell OB retests. Wait for a small rejection/engulfing to confirm before triggering.
🧱Order blocks: “Where big players remember”
What it is: last opposite-colored candle before an impulsive move—these zones often hold memory and reaction. system plots these as Buy/Sell OB lines.
Why it helps: Many breakouts pull back to the origin. Good entries often happen on retest, not on the breakout chase.
⏩ How to use:
Let price return into the OB, show wick rejection, and decent volume. Enter with stop beyond OB; define risk-reward before entry.
📊Volume coloring: “How Volume is move?”
What it is: Bar color reflects relative volume; inside bars are black. The dashboard also shows Volume and “Volume vs Prev.”
Why it helps: Patterns without volume often fade; volume validates strength and intent of moves.
⏩ How to use:
Favor entries where imbalance/OB/liquidity-grab coincide with higher volume. If volume is weak, reduce size or skip.
🧲 BSL/SSL liquidity pools: “Fishing for stops”
What it is: Equal highs cluster stops above (BSL); equal lows cluster stops below (SSL). system plots these and highlights the nearest one (“magnet”).
Why it helps: Price often sweeps these pools to trigger stops before reversing. This is a prime trap-reversal location.
⏩ How to use:
Watch nearest BSL/SSL. If price wicks through and closes back inside, anticipate a reversal. Trade reaction, not first poke. When price closes beyond, consider that pool mitigated and move on.
🟢🔴 Advanced liquidity grab: “Catch fakeout”
What it is: Bullish grab = makes a new low beyond a prior low but closes back above it, with a long lower wick, small body, and higher volume. Bearish is mirror. Labeled automatically.
Why it helps: It exposes trap moves (stop hunts) and often precedes true direction.
⏩ How to use:
Best when it aligns with a nearby imbalance/OB and supportive volume. Enter on reversal candle break or on retest. Stop goes beyond sweep wick.
🧠 Smart candlestick patterns (only in right place)
What it is: Engulfing, Hammer, Shooting Star, Hanging Man, Doji (with high volume), Morning/Evening Star, Piercing—but marked “effective” only if context (swing/trend/location) agrees.
Why it helps: same pattern in the wrong place is noise; in the right place, it’s signal.
⏩ How to use:
Location first (BSL/SSL/OB/imbalance), then pattern. Treat pattern as trigger/confirmation—one fresh label shows to keep chart clean.
🧭 Dashboard: “Context in a glance”
⏩ Reversal Level: current swing anchor—expect turns or reactions nearby; great for alerts and planning.
⏩ Volume vs Prev + Volume: Strength meter for signal candle—higher adds conviction.
⏩ Nearest Pool: next “magnet” area—look for sweeps/rejections there.
🧩Step-by-step trading flow (with mindset)
⏩ Set bias: HH/HL = long bias, LH/LL = short bias. Counter-trend only on clean sweeps with strong confirmation.
⏩ Find magnet: Check Nearest Pool (BSL/SSL). Focus attention there; it saves screen time.
⏩ Wait for event: Look for a sweep/grab label, or sharp rejection at pool/OB/imbalance. Avoid FOMO.
⏩ Add confluence: Stack 2–3 of these—imbalance box, OB, contextual pattern, supportive volume.
⏩Plan entry: Bullish: trigger above reversal candle high or take retest of FVG/OB. Stop below sweep wick/zone. Target at least 1:1.5–1:2.
Bearish: mirror above.
⏩Manage smartly: Take partials, move to breakeven or trail thoughtfully. Don’t drag stops inside zone out of emotion.
🎛️ Parameter tuning (to reduce human error)
⏩ swingLen: Smaller = faster but noisier; larger = cleaner but slower. Backtest first, then go live.
⏩ Tolerance (ATR or percent): ATR tolerance adapts to volatility (good for fast markets and lower TFs). Start around 0.15–0.30. In calm markets, try percent 0.05–0.15%.
⏩ minBarsGap: Start with 3–5 so equal highs/lows are truly equal—reduces false pools.
❌Common mistakes → ✅ Better habits
⏩Chasing every breakout → Wait for sweep/rejection, then confirm.
⏩Ignoring volume → Validate strength; cut size or skip on weak volume.
⏩Losing history of pools → If reviewing/backtesting, keep mitigated pools visible (dashed/faded).
⏩Over-tight tolerance/too small swingLen → Increases false signals; backtest to find balance.
📝 checklist (before entry)
⏩ Is there a nearby BSL/SSL and did a sweep/grab happen there?
⏩ Is there a close imbalance/OB that price can retest?
⏩ Do we have an effective pattern plus supportive volume?
⏩Is the stop beyond the wick/zone and RR ≥ 1:1.5?
•?((¯°·._.• 🎀 𝐻𝒶𝓅𝓅𝓎 𝒯𝓇𝒶𝒹𝒾𝓃𝑔 🎀 •._.·°¯((?•
RED-E Fakeout Prevention Tool 🔺 RED-E Fakeout Prevention Tool – Volume-Based Confirmation Filter
Overview
The RED-E Fakeout Prevention Tool is designed to filter out unreliable price action by validating moves based on volume strength. It helps traders avoid fakeouts—false breakouts or breakdowns—by requiring that volume meets specific criteria before considering a move legitimate.
Key Settings & How It Works
🔊 Volume Threshold (8,900,000)
This sets a fixed minimum volume requirement. If a candle’s volume is below this threshold, it’s considered too weak to confirm a move.
📈 Use Relative Volume (Enabled)
When enabled, the tool compares current volume against the average volume over a specified period rather than relying solely on raw volume. This makes the tool adaptable across assets with different liquidity levels.
📊 Relative % (100%)
This defines the multiplier for relative volume. A 100% setting means volume must be at least equal to the average to trigger a confirmation. For example, if the average volume is 5 million, the current candle must also exceed 5 million.
⏱️ Periods for Avg (20)
This sets the number of previous candles used to calculate the average volume. A 20-period average ensures that only meaningful deviations from recent volume norms trigger signals.
Use Case
Traders can use this tool in conjunction with price patterns, breakouts, or trend-based strategies to confirm the validity of price moves. By focusing only on high-volume moves, the tool reduces the risk of acting on low-volume traps or fake signals
Advanced Moving Average ChannelAdvanced Moving Average Channel (MAC) is a comprehensive technical analysis tool that combines multiple moving average types with volume analysis to provide a complete market perspective.
Key Features:
1. Dynamic Channel Formation
- Configurable moving average types (SMA, EMA, WMA, VWMA, HMA, TEMA)
- Separate upper and lower band calculations
- Customizable band offsets for precise channel adjustment
2. Volume Analysis Integration
- Multi-timeframe volume analysis (1H, 24H, 7D)
- Relative volume comparison against historical averages
- Volume trend detection with visual indicators
- Price-level volume distribution profile
3. Market Context Indicators
- RSI integration for overbought/oversold conditions
- Channel position percentage
- Volume-weighted price levels
- Breakout detection with visual signals
Usage Guidelines:
1. Channel Interpretation
- Price within channel: Normal market conditions
- Price above upper band: Potential overbought condition
- Price below lower band: Potential oversold condition
- Channel width: Indicates market volatility
2. Volume Analysis
- High relative volume (>150%): Strong market interest
- Low relative volume (<50%): Weak market interest
- Volume trend arrows: Indicate increasing/decreasing market participation
- Volume profile: Shows price levels with highest trading activity
3. Trading Signals
- Breakout arrows: Potential trend continuation
- RSI extremes: Confirmation of overbought/oversold conditions
- Volume confirmation: Validates price movements
Customization:
- Adjust MA length for different market conditions
- Modify band offsets for tighter/looser channels
- Fine-tune volume analysis parameters
- Customize visual appearance
This indicator is designed for traders who want to combine price action, volume analysis, and market structure in a single, comprehensive tool.
SuperTrend Confluence Signals [AlgoAlpha]OVERVIEW
This script enhances the classic SuperTrend indicator by integrating volume dynamics, retracement detection, and a multi-asset trend matrix—alongside an automatic mitigation-level drawing system. It's designed for traders who want to see not just trend direction, but the confluence of trend strength, volatility-adjusted retracements, and capital flow through volume pressure. It visually maps key transitions in market structure while offering a clean, color-coded overview of multiple symbols and timeframes in a single chart.
CONCEPTS
At the core is the traditional SuperTrend , which determines directional bias using Average True Range (ATR) with a volatility multiplier. This script overlays that with a dynamic volume histogram that scales relative to recent volume standard deviation, coloring volume bursts within the trend. Retracement signals are triggered when price pulls back toward the SuperTrend level but respects it—quantified through normalized distance sensitivity. On top of that, the indicator automatically draws and manages horizontal support/resistance zones that appear at key trend shifts. These levels persist and are cleared based on configurable rules such as wick/body sweeps or consecutive candle closes. A multi-asset, multi-timeframe table then gives an instant snapshot of trend status across five user-defined symbols and timeframes.
FEATURES
SuperTrend : Configurable ATR length and multiplier for flexible trend sensitivity.
Volumetric Histogram : Gradient-filled candles anchored to SuperTrend bands, scaled by relative volume to indicate activity intensity during trends.
Retracement Arrows : Signals printed when price nears the SuperTrend level without breaking it, allowing identification of high-probability continuation zones.
Volume TP Markers : Diamond markers flag high-volume events, contextualizing price moves with liquidity bursts.
Automatic Structure Levels : Draws clean horizontal lines at significant trend transitions, with optional volatility-based band fills. These levels self-update and clear based on price interaction logic.
Trend Table : Displays trend direction (▲/▼) across five assets and five timeframes. Each cell is colored according to trend bias, providing a compact overview for multi-market confluence.
USAGE
Start by loading the indicator on your main chart and adjusting the ATR Length and Multiplier to match your strategy timeframe. Use lower values for scalping and higher values for swing trading. The histogram bars will appear as colored candles above or below the SuperTrend level, indicating how strong volume is within that trend. Arrow signals suggest minor pullbacks within the trend, which can act as entry opportunities. The level system will automatically plot key price zones during trend flips; if "Body" is selected for mitigation, price must close through the level to invalidate it. If "Wick" is chosen, a single wick breach is enough. Adjust expiry and rejection settings to fine-tune how long levels stay on chart. Finally, enable the Multi-Asset Table to view live trend signals across popular symbols like AAPL or NVDA in different timeframes, helping spot macro-to-micro alignment for higher-confidence trades.
CVD Divergence Insights📘 CVD Divergence Insights – by Colicoid
Pine Script v6 | Volume Delta Divergence Oscillator with Spike Detection
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🔍 Overview
CVD Divergence Insights is a volume-aware oscillator and divergence spike detector that helps you spot smart money activity, absorption, failed pressure, and hidden strength or weakness — even when price action alone gives little away.
It works by comparing normalized Cumulative Volume Delta (CVD) against normalized price movement, and optionally applying a volume-weighting layer to highlight when aggressive participation is truly behind the divergence. The result is a dynamic visual tool that identifies tension in the market, and helps you trade based on how that tension resolves.
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🧠 Core Concept
• When price moves one way and CVD moves another, it reflects imbalance between aggression and result.
• Divergence is not a trigger — it’s a build-up of pressure.
• The real edge lies in the resolution of that pressure.
• Optional volume-weighting helps you ignore noise and focus on high-conviction moves only.
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⚙️ How It Works
1. CVD Calculation
CVD is generated using lower-timeframe delta volume (buy vs. sell pressure), accumulated per bar.
2. Oscillator
A normalized divergence between the smoothed CVD and smoothed price.
3. Volume Weighting (optional)
Emphasizes divergences occurring on higher-than-normal volume, deprioritizes low-volume noise.
4. Signal Line (optional)
A short EMA of the oscillator to help track momentum shifts (hidden by default).
5. Divergence Spikes
Statistical spike detection using standard deviation — green/red dots highlight unusually large divergence activity.
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🎛️ Inputs
Anchor Period
Higher timeframe where the CVD is accumulated and processed.
Lower Timeframe
Optional override for granularity of buy/sell volume data.
SMA Length
Used for smoothing both price and CVD before divergence is calculated.
Volume Weighted?
Enables adaptive weighting based on relative volume size.
Volume Normalization Length
Lookback period used to define what is “normal” volume.
Divergence Spike Threshold
StdDev-based threshold to detect abnormally large divergences.
Signal Line Length
Controls the EMA smoothing of the optional signal line (hidden by default).
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📈 Trade Setup Example: Hidden Bullish Divergence
1. Price forms a higher low, but CVD forms a lower low — hidden bullish divergence.
2. This shows aggressive sellers are trying, but price is resilient — likely absorption.
3. You wait for a "convergent signal bar":
• A bullish candle with strong structure or body
• Confirmed by CVD starting to turn upward
4. That’s your trigger bar — the tension resolves upward.
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🤝 Recommended Pairings
For best results, combine CVD Divergence Insights with the companion script:
🔗 Cumulative Volume Delta Line (also by Colicoid)
This lets you:
• See the raw CVD line and its SMA visually
• Spot standard and hidden divergences in price/CVD directly
• Use the Insights indicator to evaluate divergence quality and flag aggressive bull/bear behavior
• Use the same SMA length on both indicators for alignment
👉 Tip: To save screen space, drag the CVD Line indicator into the same panel as CVD Divergence Insights.
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🧰 Why Use This?
• ✅ Catch absorption setups and failed pressure zones
• ✅ Filter out low-quality divergences using volume context
• ✅ Understand why price is hesitating or breaking out
• ✅ Add smart confirmation to breakout/reversal trades
• ✅ Align your execution with who’s actually in control
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📎 Created by Colicoid
Built in Pine Script v6 for advanced price-volume analysis, with focus on effort vs result, market psychology, and smart money detection.
Volume Metrics & Market CapitalizationThis Pine Script indicator provides a comparative view of volume metrics and market capitalization to help traders analyze relative volume strength in the context of a stock’s overall size.
Key Features:
Volume Formatting:
Converts numerical values into readable units (K for thousand, M for million, B for billion, T for trillion).
Volume Metrics:
Displays current bar volume, cumulative daily volume, and 30-day average volume.
Market Capitalization Calculation:
Uses the outstanding shares multiplied by closing price to estimate market cap.
Table Display:
Shows all these values in an easy-to-read table in the bottom-right of the chart.
How It Helps Compare Relative Volume to Market Cap
Relative Volume Strength
By comparing current volume and 30-day average volume, traders can quickly gauge if today’s volume is unusually high or low.
If daily volume exceeds the 30-day average, it suggests increased market interest in the stock.
Market Cap Context
Market cap provides a reference for whether a stock is large-cap, mid-cap, or small-cap, influencing how volume should be interpreted.
A high volume surge in a low market cap stock may indicate stronger momentum compared to the same volume change in a large-cap stock.
Liquidity and Volatility Signals
Comparing volume to market cap helps determine liquidity—stocks with low market cap but high volume may be more volatile.
Example: A small-cap stock with $50M market cap trading $20M daily volume is seeing 40% turnover, a significant indicator of strong movement.
Practical Use Case
Day Traders: Spot stocks experiencing unusual volume surges relative to their market cap, identifying potential breakout or momentum plays.
Swing Traders: Assess if a stock is trading at above-average volume levels, confirming strength in trends.
Investors: Understand liquidity and potential institutional interest in stocks, as larger players typically trade in high market-cap names with sustained volume.
This indicator is a quick-glance tool for identifying high-volume stocks relative to their size, helping traders make more informed decisions on potential opportunities. 🚀
RELATIVE VOLThis script, titled "Relative Vol," is designed to visualize and analyze volume data on TradingView. It calculates and displays the relative volume based on the average volume over a set lookback period, with volume expressed as a percentage of the average. Key features include:
Volume Percentage Calculation: The script calculates the volume percentage relative to the average volume over a specified lookback period (default of 20). It compares the current volume to the historical average and plots it as a percentage on the chart.
Volume Color Coding: The bars are color-coded based on the relationship between price action and volume:
Bullish volume above average: Green
Bearish volume above average: Red
Bullish volume below average: Light gray
Bearish volume below average: Dark gray
Daily Data Integration: It pulls in daily average volume and daily Average True Range (ATR) data:
Displays the daily average volume and ATR values in a table on the top-right of the chart.
Colors in the table reflect whether the daily average volume is high (greater than 1,000,000) and if the daily ATR is above 2.
Custom Timeframe Calculation: The script adjusts the lookback period and volume calculation based on the timeframe of the chart (1-minute, 5-minute, 15-minute, 30-minute, 60-minute, or daily).
This script provides traders with a visual representation of relative volume, helping them identify whether current trading activity is above or below average and how it correlates with price movement. Additionally, the integration of daily volume and ATR data helps assess overall market volatility and liquidity trends.
Volume PressureDraws the candle chart with colors to represent low, medium and high volumes. You get 3 colors for downward and 3 colors for upward movement. This will aid with immediately seeing the relative volume pushing the stock candle in the direction of movement.
You can control the percentage threshold for low and high volume. You also can change the colors to represent each volume level for upward and downward movement.
