Valorous VolumesIndicator to mark the significant Volumes:
HVE: Checks if the current volume sets a new overall record.
HVY: Checks if the current volume equals the highest volume over the past one year.
HVQ: Checks if the current volume equals the highest volume over the past three months.
Volume
Weighted Directional Movement IndexThe Weighted Directional Movement Index (Weighted-DMI) is an enhanced version of the traditional DMI indicator that incorporates various weighting methods to adjust how +DI and -DI are calculated. This allows traders to refine trend detection based on volume, volatility, or price position within Bollinger Bands.
The indicator can be used on any asset and any timeframe, making it versatile for stocks, forex, crypto, and commodities.
How to Use This Indicator:
Trend Reversals → When the blue line (+DI) crosses above the orange line (-DI), it signals a potential bullish trend.
Bearish Trend Shift → When -DI (orange) crosses above +DI (blue), it indicates a possible bearish trend.
Pullback & Re-Entry → If the lines briefly touch or converge and then separate again, it suggests a pullback and potential trend continuation.
This version of DMI allows you to apply different weightings to the trend calculation, helping filter out noise and improve accuracy.
1️⃣ Weighting Methods:
Users can select from multiple weighting options to refine trend detection based on different market conditions:
✅ None (Default DMI Calculation)
Uses the standard +DI and -DI values with no modifications.
✅ Volume Weighting
Adjusts DMI based on traded volume.
Higher volume days increase the weight of the directional movement, making strong-volume moves more impactful.
✅ Volume Delta Weighting
Uses a basic volume delta approximation ((close - open) * volume).
If the price closes higher, upward moves are weighted more.
If the price closes lower, downward moves get greater weighting.
This method can help highlight aggressive price movements with strong participation.
✅ ATR Ratio Weighting (Volatility-Adjusted)
Adjusts DMI based on how today’s ATR compares to its average ATR.
If volatility is higher than usual, the DI values are boosted, helping emphasize strong trends.
If volatility is low, weighting is reduced, helping avoid false signals in quiet markets.
✅ Bollinger Band Position Weighting
Adjusts DI values based on how far price is from the Bollinger Band midpoint.
If price is above the middle band, +DI is amplified and -DI is dampened (bullish bias).
If price is below the middle band, -DI is amplified and +DI is dampened (bearish bias).
This method is useful for mean-reversion strategies and identifying breakouts from Bollinger Band squeezes.
How This Can Be Useful for Traders:
Trend Followers can use crossovers (+DI/-DI) to confirm trend direction shifts.
Swing Traders can watch for pullbacks and re-entries when the lines touch and diverge again.
Volatility-Based Traders may prefer ATR Ratio weighting to emphasize trends during high-volatility conditions.
Breakout Traders might benefit from Bollinger Band weighting, identifying when price moves away from a consolidation zone.
Volume-Based Traders can use Volume or Volume Delta weighting to prioritize trends with strong participation.
Alerts Included
🚨 Bullish Trend Alert: Triggered when +DI crosses above -DI
🚨 Bearish Trend Alert: Triggered when -DI crosses above +DI
Indicator is much more accurate compared to the traditional Directional Movement Index if you apply the weighting. I personally find the Bollinger Band and then Volume weighting highly useful.
The indicator gives signals a lot earlier compared to other indicators, whilst remaining as accurate as possible.
Higher times frame such as the 15 minute and 1 hour I find work best.
Volume Spike BoxThis indicator highlights the highest volume candlestick in a specified number of bars. It extends for the same length in the future as the specified number of bars for identifying potential support and resistance
Sideways Scalper Peak and BottomUnderstanding the Indicator
This indicator is designed to identify potential peaks (tops) and bottoms (bottoms) within a market, which can be particularly useful in a sideways or range-bound market where price oscillates between support and resistance levels without a clear trend. Here's how it works:
RSI (Relative Strength Index): Measures the speed and change of price movements to identify overbought (above 70) and oversold (below 30) conditions. In a sideways market, RSI can help signal when the price might be due for a reversal within its range.
Moving Averages (MAs): The Fast MA and Slow MA provide a sense of the short-term and longer-term average price movements. In a sideways market, these can help confirm if the price is at the upper or lower extremes of its range.
Volume Spike: Looks for significant increases in trading volume, which might indicate a stronger move or a potential reversal point when combined with other conditions.
Divergence: RSI divergence occurs when the price makes a new high or low, but the RSI does not, suggesting momentum is weakening, which can be a precursor to a reversal.
How to Use in a Sideways Market
Identify the Range: First, visually identify the upper resistance and lower support levels of the sideways market on your chart. This indicator can help you spot these levels more precisely by signaling potential peaks and bottoms.
Peak Signal :
When to Look: When the price approaches the upper part of the range.
Conditions: The indicator will give a 'Peak' signal when:
RSI is over 70, indicating overbought conditions.
There's bearish divergence (price makes a higher high, but RSI doesn't).
Volume spikes, suggesting strong selling interest.
Price is above both Fast MA and Slow MA, indicating it's at a potentially high point in the range.
Action: This signal suggests that the price might be at or near the top of its range and could reverse downwards. A trader might consider selling or shorting here, expecting the price to move towards the lower part of the range.
Bottom Signal:
When to Look: When the price approaches the lower part of the range.
Conditions: The indicator will give a 'Bottom' signal when:
RSI is below 30, indicating oversold conditions.
There's bullish divergence (price makes a lower low, but RSI doesn't).
Volume spikes, suggesting strong buying interest.
Price is below both Fast MA and Slow MA, indicating it's at a potentially low point in the range.
Action: This signal suggests that the price might be at or near the bottom of its range and could reverse upwards. A trader might consider buying here, expecting the price to move towards the upper part of the range.
Confirmation: In a sideways market, false signals can occur due to the lack of a strong trend. Always look for confirmation:
Volume Confirmation: A significant volume spike can add confidence to the signal.
Price Action: Look for price action like candlestick patterns (e.g., doji, engulfing patterns) that confirm the reversal.
Time Frame: Consider using this indicator on multiple time frames. A signal on a shorter time frame (like 15m or 1h) might be confirmed by similar conditions on a longer time frame (4h or daily).
Risk Management: Since this is designed for scalping in a sideways market:
Set Tight Stop-Losses: Due to the quick nature of reversals in range-bound markets, place stop-losses close to your entry to minimize loss.
Take Profit Levels: Set profit targets near the opposite end of the range or use a trailing stop to capture as much of the move as possible before it reverses again.
Practice: Before trading with real money, practice with this indicator on historical data or in a paper trading environment to understand how it behaves in different sideways market scenarios.
Key Points for New Traders
Patience: Wait for all conditions to align before taking a trade. Sideways markets require patience as the price might hover around these levels for a while.
Not All Signals Are Equal: Sometimes, even with all conditions met, the market might not reverse immediately. Look for additional context or confirmation.
Continuous Learning: Understand that this indicator, like any tool, isn't foolproof. Learn from each trade, whether it's a win or a loss, and adjust your strategy accordingly.
By following these guidelines
Normalized OBV with Smoothing OptionsThis script is designed to help traders identify potential long and short entry points using a midline cross strategy based on a Normalized On-Balance Volume (OBV) indicator.
🔹 How It Works
OBV measures volume flow: This indicator tracks whether volume is increasing on up or down moves to help confirm trend strength.
Normalization for consistency: Instead of raw OBV values, this script normalizes OBV over a customizable lookback period, making it easier to compare across different assets and timeframes.
Smoothing for clarity: Users can apply different smoothing methods (SMA, EMA, RMA, or TEMA) to filter out noise and make signals clearer.
⚡ Trading Signals
Midline Cross (50) → Primary Signal for Entries
When OBV crosses above 50, it suggests increasing bullish momentum → Potential Long Entry
When OBV crosses below 50, it signals increasing bearish momentum → Potential Short Entry
Extreme Zones for Confirmation
Above 70 (Overbought): Indicates potential exhaustion of buying pressure.
Below 30 (Oversold): Signals potential exhaustion of selling pressure.
🎯 Why Use This?
Helps identify momentum shifts early.
Works as an additional filter for trend confirmation.
Useful for day traders, swing traders, and algorithmic strategies.
[AlbaTherium] MTF Volatility Edge Zones Premium for Price Action Volatility Edge Zones Premium for Price Action (HTF)
The MTF Volatility Edge Zones Premium for Price Action is an advanced Multiple Timeframes (MTF) trading indicator that combines the power of volume analysis with price action, designed to reveal key volatility zones and assess market participants’ engagement levels . This tool offers unique insights into the dynamics of higher timeframes (HTF), helping traders identify critical zones of decision-making, such as potential reversals, continuations, or breakout areas.
Introduction to the MTF Volatility Edge Zones Premium
This indicator is built upon a deep understanding of the interaction between price action and volume. By mapping volume data onto price action, Volatility Edge Zones Premium (HTF) pinpoints areas of heightened market engagement. These zones represent where buyers and sellers have shown significant activity, allowing traders to identify market intent and anticipate key movements.
Key Features:
Higher Timeframe Analysis: Focuses on significant price and volume interactions over HTFs (e.g., 4H, Daily, Weekly) for a broader perspective on market trends.
Volatility Zones : Highlights areas where market participants show increased activity, signaling potential market turning points or strong continuations.
Volume-Driven Insights: Tracks the behavior of aggressive buyers and sellers, showing their engagement levels relative to price changes.
Overlayon Price Action: Provides a clear and actionable visual representation of volatility and engagement zones directly on price charts.
Chapter 1: Understanding Volatility and Engagement
1.1 Volatility Edge Zones
Volatility Edge Zones are areas where price and volume interact to signal potential changes in market direction or momentum. These zones are derived from high-volume clusters where significant market activity occurs.
1.2 Participant Engagement
Market participants can be categorized based on their level of engagement in these zones:
Aggressive Buyers: Represented by sharp spikes in volume and upward price action.
Aggressive Sellers: Represented by high volume during downward price movement.
Passive Participants: Identified in zones of consolidation or low volatility.
By isolating these behaviors, traders can gain a clearer picture of market sentiment and the relative strength of buyers versus sellers.
Chapter 2: The Principle of Volume and Price Interplay
2.1 Volume as a Leading Indicator
Volume often precedes price movements, and the Volatility Edge Zones Premium captures this relationship by overlaying volume activity onto price charts. This allows traders to:
Identify where volume supports price movement (trend confirmation).
Spot divergences where price moves without volume support (potential reversals).
2.2 The Role of Higher Timeframes
HTFs filter out market noise, revealing macro trends and key levels of engagement. The indicator uses this perspective to highlight long-term volatility zones, helping traders align their strategies with the broader market context.
Chapter 3: Visualizing Volatility Edge Zones
3.1 Color-Coded Zones for Engagement
The indicator uses a color-coded system to represent volatility zones and market engagement levels. These colors correspond to different market conditions:
Red Zones: High selling pressure and aggressive bearish activity.
Blue Zones: High buying pressure and aggressive bullish activity.
Yellow Zones: Transitional zones, representing indecision or balance between buyers and sellers.
White Zones: Neutral areas, where low engagement is observed but could serve as potential breakout points.
3.2 Key Metrics Tracked
Volume Clusters: Areas of concentrated buying or selling activity.
Directional Bias: Net buying or selling dominance.
Momentum Shifts: Sudden changes in volume relative to price action.
These metrics provide actionable insights into market dynamics, making it easier to predict key movements.
Chapter 4: Practical Applications in Trading
4.1 Identifying High-Impact Zones
By focusing on HTFs, traders can use the Volatility Edge Zones Premium to identify high-impact areas where market participants are most engaged. These zones often align with:
Support and Resistance Levels: High-volume areas that act as barriers or catalysts for price movement.
Breakout Points: Zones of heightened volatility where price is likely to escape consolidation.
4.2 Detecting Bull and Bear Campaigns
The indicator highlights early signs of bullish or bearish campaigns by analyzing volume surges in critical volatility zones. These campaigns often signal the beginning of significant trends.
Chapter 5: Real-World Examples and Strategies
5.1 Spotting Market Reversals
Real-world examples demonstrate how the indicator can identify volatility zones signaling potential reversals, allowing traders to enter positions early.
5.2 Riding the Trend
By tracking volatility zones in alignment with HTF trends, traders can maximize profit potential by entering during periods of high engagement and riding the trend until it weakens.
Conclusion
The MTF Volatility Edge Zones Premium for Price Action is an essential tool for traders looking to master market dynamics through a combination of volume and price action analysis. By focusing on higher timeframes and overlaying volatility zones onto price charts, this indicator provides unparalleled insights into market participant engagement.
Whether you’re trading intraday, swing, or long-term strategies, the MTF Volatility Edge Zones Premium equips you with the information needed to make confident and precise trading decisions. Stay tuned as we continue to enhance this tool for even greater accuracy and usability.
Z PLUS table take profit & Stop lose ### General Description:
The **Z PLUS Take Profit & Stop Loss** indicator is designed to provide traders with a structured approach to setting take profit (TP) and stop loss (SL) levels. It integrates multiple technical analysis techniques, including moving averages, the Relative Strength Index (RSI), and the Average True Range (ATR), to generate signals for potential trade entries and exits.
Key features of this indicator include:
1. **Trend Detection** – Uses a moving average-based strategy combined with RSI confirmation to determine bullish or bearish trends. The system identifies trend reversals and signals potential long (buy) or short (sell) opportunities.
2. **ATR-Based Stop Loss** – Implements an adaptive stop-loss mechanism that adjusts dynamically based on market volatility. This ensures that stop losses are positioned in a way that minimizes premature exits while still protecting against excessive losses.
3. **Swing High & Swing Low Take Profit Levels** – Incorporates a swing high and swing low detection method to identify key levels for taking profits. These levels help traders optimize their risk-reward ratios.
4. **ADX for Trend Strength Confirmation** – Utilizes the Average Directional Index (ADX) to determine the strength of the trend and adjust stop-loss levels accordingly. The indicator differentiates between strong and weak trends to enhance decision-making.
5. **Visual Signals & Color Coding** – Provides visual cues such as colored stop-loss lines and plotted take-profit markers to enhance usability. The indicator dynamically updates these levels based on price movements.
6. **Flexible Configuration** – Allows users to modify key parameters such as ATR length, sensitivity factors, and profit target percentages to tailor the strategy to their specific trading style and market conditions.
This indicator is best suited for traders looking to improve their risk management strategies while maintaining a structured approach to profit-taking and stop-loss placement.
RVMM IndicatorRVMM Indicator
RVMM Indicator combines four indicators: RSI, VWAP, MFI, and Momentum to provide comprehensive technical analysis. This indicator helps traders identify potential market conditions based on the interaction of these indicators.
Components of the RVMM Indicator
1. RSI (Relative Strength Index)
RSI is a momentum indicator that measures the speed and change of price movements. RSI oscillates between 0 and 100 and is used to identify overbought and oversold conditions in the market.
Buy Level: Set at 30. When RSI falls below 30, the market is considered oversold, which may suggest a potential upward trend reversal.
Sell Level: Set at 70. When RSI rises above 70, the market is considered overbought, which may suggest a potential downward trend reversal.
2. VWAP (Volume Weighted Average Price)
VWAP is an indicator that combines price and volume to calculate the average price weighted by volume. VWAP is used to identify support and resistance areas and assess the strength of price movements.
Interpretation: If the price is above the VWAP line, the market is likely in an uptrend. If the price is below the VWAP line, the market is in a downtrend.
3. MFI (Money Flow Index)
MFI is a momentum indicator that considers both price and volume. MFI oscillates between 0 and 100 and is used to identify overbought and oversold conditions in the market.
Oversold Level: Set at 20. When MFI falls below 20, the market is considered oversold.
Overbought Level: Set at 80. When MFI rises above 80, the market is considered overbought.
4. Momentum
Momentum is an indicator that measures the speed of price changes. This indicator is used to identify the strength of a trend.
Interpretation: High momentum values indicate a strong uptrend, while low momentum values indicate a strong downtrend.
How to Use the RVMM Indicator
Interpreting Market Conditions:
RSI : Check RSI values below 30 to identify oversold conditions, and above 70 to identify overbought conditions.
VWAP : Observe whether the price is above or below the VWAP line to determine if the market is in an uptrend or downtrend.
MFI : Check if MFI is below 20 to identify oversold conditions, and above 80 to identify overbought conditions.
Momentum : Analyze momentum values to gauge the strength of the current trend.
Confirming Market Conditions:
Use VWAP, MFI, and Momentum to confirm market conditions identified by RSI.
If the price is above the VWAP line, and MFI and Momentum indicate the strength of the uptrend, the market may be in a bullish phase.
If the price is below the VWAP line, and MFI and Momentum indicate the strength of the downtrend, the market may be in a bearish phase.
Risk Management:
Set stop-loss and take-profit levels based on technical analysis and your trading preferences.
Monitor the market and adjust stop-loss and take-profit levels as market conditions change.
Example of Application
Here is an example of how to use the RVMM Indicator in practice:
Bullish Phase: When the price is above the VWAP line, RSI is below 30, and MFI and Momentum indicate the strength of the uptrend, the market is likely in a bullish phase.
Bearish Phase: When the price is below the VWAP line, RSI is above 70, and MFI and Momentum indicate the strength of the downtrend, the market is likely in a bearish phase.
Zanger Volume Ratio (ZVR)Zanger Volume Ratio (ZVR)
Credits:
Most of the underlying code and logic in this script have been adapted from the work originally published by The_Peaceful_Lizard
Overview
The Zanger Volume Ratio (ZVR) is a powerful indicator designed to reveal market dynamics by comparing current cumulative volume to an average determined over a historical look-back period. It uses the concept of relative volume to not only highlight unusual volume spikes, but also uses color to illustrate how today's trading compares to typical levels. This unique method of volume analysis was popularized by Dan Zanger - a trader known for turning $10,775 into $18,000,000 in less than two years - by identifying key shifts in market interest and volume behavior.
Key Features
Volume Pacing Analysis:
The script calculates a volume delta by comparing the cumulative volume at any given moment to an average derived over a user-defined lookback period (Default 20-day). The resulting percentage difference offers a clear visualization and insight into unusual volume activity.
Dynamic Visual Representation:
Choose between either “Columns” or “Area” plot styles to display the percent difference. Additionally, you have the option to switch between a standard plot or a background color display, with customizable transparency, ensuring the indicator fits seamlessly with your chart’s aesthetics.
Dashboard Integration:
A simple dashboard table is displayed on the chart, showcasing the current ZVR value in real-time. With user-configurable position, text size, alignment, and color options, this feature ensures that the key metric is always visible and easy to interpret.
Why Use the Zanger Volume Ratio?
The ZVR is more than just a volume indicator. It acts as a window into market sentiment by highlighting days when trading interest intensifies. Many traders believe that an unusually high volume ratio may confirm trend strength or signal a reversal, making the indicator a valuable tool when used in conjunction with other technical analysis methods.
Whether you’re monitoring stocks, commodities, or forex markets, the Zanger Volume Ratio offers an accessible yet sophisticated method to decode volume dynamics. Its practical design and real-time visual feedback provide traders of all experience levels with critical data to spot high-potential setups.
Chart Description
First Pane: normal Volume Indicator on the foreground, ZVR as Background colors
Second Pane: ZVR Indicator with Column Style (default)
First panel: normal volume indicator in foreground, ZVR as background colors
Second panel: ZVR indicator with column style (default)
Note: This indicator is intended for use on intraday charts only!
Liquidity ZonesLiquidity Zones Indicator
The Liquidity Zones indicator is a custom Pine Script™ tool designed to identify significant price levels where high trading volume has occurred. These zones often act as support or resistance levels, providing valuable insights for traders.
Key Features:
Window Size: The number of bars to consider for calculating the moving averages and identifying peaks.
Tolerance: The allowable percentage difference to consider peaks as unique.
Number of Peaks: The maximum number of significant peaks to identify.
Minimum Volume: The minimum volume threshold relative to the average volume to consider a peak.
Minimum Range: The minimum price range to consider a peak.
How It Works:
Input Parameters: The user can customize the window size, tolerance, number of peaks, minimum volume, and minimum range.
Moving Averages: The script calculates the simple moving average (SMA) of the volume and closing prices over the specified window.
Peak Identification:
For each bar, the script identifies the bar with the highest volume within the window.
It checks if the volume exceeds the minimum volume threshold.
It determines the peak price based on whether the bar closed higher or lower than it opened.
It ensures the price range of the bar exceeds the minimum range.
It checks if the peak is above the SMA of the closing prices.
It verifies the peak is unique within the specified tolerance.
Plotting Peaks: The identified peaks are plotted on the chart with lines and labels, color-coded based on whether the bar closed higher (green) or lower (red).
This indicator helps traders visualize key liquidity zones, aiding in making informed trading decisions.
Price Sync Mapper+ [Pt]█ Description:
Price Sync Mapper is a robust TradingView indicator designed to plot correlated price levels of related assets onto the primary chart. This tool is particularly useful for traders who want to trade one asset while monitoring the price action and key levels on another correlated asset, such as leveraged ETFs, inverse ETFs , and other correlated trading pairs. By mapping the price levels of one asset onto another, traders can gain insights into relative price movements and potential trading opportunities.
█ Key Features:
► Multiple Asset Mapping: Supports mapping up to two different tickers onto the primary chart, each with customizable settings, including leverage and inverse properties.
► Dynamic Price Levels: Define the number of price levels to map based on the price movements of the correlated asset, with the scale defined by the multiplier setting.
► VWAP Integration: Option to display Volume Weighted Average Price (VWAP) lines for each mapped ticker, providing additional context on average trading prices. Users can also choose to smooth the VWAP line with a moving average.
► Custom Target Levels: Set and display custom price targets with detailed labels, allowing visualization of key price levels for trading strategies. Users can define labels, tickers, and offsets for up to 8 custom price targets.
► Flexible Update Frequency: Choose to update the indicator on every tick or at the close of each candle, providing flexibility based on trading style and preferences.
► Extended Hours Highlighting: Option to highlight extended trading hours sessions, helping to differentiate between regular and extended trading periods.
► Price Change Display: Displays the percentage price change for each mapped ticker, providing quick insights into the relative performance of correlated assets.
► Table Display: Option to show a table with the current prices, leverage factors, and percentage changes of the mapped tickers, enhancing overall usability and information accessibility. The table can be positioned at various locations on the chart and its font size can be customized.
█ Usage Examples:
► Example 1:
Map the price levels of the Direxion Daily TSLA Bull 2X Shares (TSLL) onto the primary chart of Tesla Inc. (TSLA). This allows traders to see how the leveraged ETF's price movements align with the underlying stock, providing insights into potential trading opportunities based on leverage effects.
► Example 2:
Trade ProShares UltraPro Short QQQ (SQQQ) price levels on Invesco QQQ Trust (QQQ). By mapping the inverse 3x leveraged ETF's price levels onto the underlying asset, traders can set their targets directly on the QQQ chart without flipping between charts and 'guess-timate' which level correspond to which level.
█ Cautionary Note:
Price mapping may not work properly during extended trading hours due to lack of price data, and different trading dynamics and volume.
Adaptive On Balance Volume with Trend█ Introduction
The Adaptive On Balance Volume (AOBV) indicator enhances the traditional On Balance Volume (OBV) by introducing adaptability, volatility detection, and trend analysis. It helps traders identify the direction of volume flow, assess volume momentum, and spot potential reversals in the market.
Detecting market tops and bottoms is crucial for making informed trading decisions. The AOBV indicator offers a method for identifying these points by using an adaptive volatility detection function that highlights potential volume peaks or climaxes, suggesting when a price top or bottom may be forming.
█ Understanding the AOBV
Note: Details on how calculations are conducted can be found at the end of this script description.
1. The Basics of the AOBV Function:
• Adaptive Momentum Calculation: Instead of using a fixed momentum formula, the AOBV uses the original formula for basic momentum and enhances it based on relative strength and applies an adaptive smoothing function.
• Dynamic Smoothing:
• Strong Momentum: When the AOBV detects significant changes (strong momentum), it reduces smoothing. This makes the indicator more responsive to major market movements.
• Weak Momentum: When momentum is weak (small changes), it increases smoothing to filter out market noise.
This adaptability allows the AOBV to more accurately reflect volume momentum, responding promptly during significant market moves and remaining stable during quieter periods.
To determine the trend direction (bullish or bearish), the indicator calculates a signal curve and displays the difference as bars:
• Bar Above the Middle Line: Indicates a bullish trend.
• Bar Below the Middle Line: Indicates a bearish trend.
2. Volatility Function:
The volatility function measures how much the AOBV deviates from its average by comparing it to its smoothed version. It calculates the exponential standard deviation to estimate volatility.
• Purpose: Identifies when volume momentum is near a climax or when a trend is nearing exhaustion.
• How It Works:
• Compares current volatility to previous bars.
• Computes a percentage indicating how often the current volatility is higher than past values.
• If this percentage exceeds a defined threshold, it signals a significant volatility event by plotting a dot above or below the bar.
This pattern typically manifests itself during strong runs on price followed by a period of consolidation. Thus, estimating volatility would be an acceptable measure of when a market is reaching or nearing an implied top or bottom.
3. The Trend Function:
The trend function combines several common indicators to gauge buildup toward a reversal or a continuation of a trend when the AOBV changes direction.
• Components:
• AOBV Strength Percentage: Calculates the percentage change in the AOBV to gauge its strength and direction.
• Supertrend Indicator: Acts as the main driver for trend buildup.
• Vertical Horizontal Filter (VHF): Measures market consolidation, adjusting the trend strength accordingly.
• Adaptive RSI: Further refines the trend strength based on volume momentum.
• Trend Ranking:
• Assigns a trend rank to the AOBV that reflects both market direction and momentum.
• Colors are used to represent different trend strengths: Strong Bullish, Bullish, Strong Bearish, and Bearish.
█ How to Use the AOBV
• Above the Middle Line: Suggests a bullish trend.
• Below the Middle Line: Suggests a bearish trend
• The Volatility dots:
• Indicate strong momentum relative to previous bars.
• Signal that the trend may be nearing a climax or exhaustion.
• Can imply a potential market top or bottom.
• Consolidation can be detected by visually comparing current bars to previous ones. This should be obvious since, and as described, the AOBV bars represent volume momentum.
• The trend function is used to gauge the likelihood of a reversal or a continuation of a trend; trend is represented with several colors: strong bullish trend, bullish trend, strong bearish trend, and finally simply a bearish trend.
It is important to understand that this trend function is not the typical trend function found on other technical indicators. It must be viewed within the context of the AOBV momentum. For example, if AOBV is exerting a bullish trend (bars above middle line), then a bearish trend with no major change in momentum and no volatility indication could mean a false reversal. Conversely, a large charge in AOBV could be a strong indication of a market reversal.
█ Key Features
• Two Display Modes: Curve and Bars:
The Adaptive OBV can be viewed in two different display modes: Curve and Bars Mode. "Curve Mode" offers the classic OBV representation (but as AOBV) with trend, while "Bars Mode" incorporates volatility detection and trend, making it the recommended mode.
• Volatility Function:
• Dots appear above or below the volume bars when significant volatility events are detected.
• The sensitivity can be adjusted by changing the percentage threshold.
• Trend Analysis:
• Helps gauge the likelihood of a trend continuation or reversal.
• Uses color-coded trend ranks for easy interpretation.
• Flexible Lookback Period:
Lookback periods for the main AOBV, its signal line, trend function, and volatility function can be customized.
• Recommendations:
• Match the main lookback period with the volatility period: Ensures consistency in momentum and volatility measurements.
• Match the trend lookback period with the signal AOBV lookback period: Aligns trend analysis with the underlying momentum signals.
Below is a sample demonstrating the utility on a 1- minute chart.
█ Calculation Details:
• AOBV Calculations
The AOBV differs the traditional OBV by focusing on the differences in OBV values rather than absolute price movements. Initially, it calculates the standard OBV by accumulating volume based on whether the closing price is higher or lower than the previous close. Next, it computes the difference between the current OBV and the previous OBV to measure changes in volume momentum. It calculates the average net change and average total change of these OBV differences over a specified period using a selected averaging method (e.g., EMA, SMA). By dividing the average net change by the average total change, it obtains a change ratio that reflects the strength and direction of volume momentum.
This change ratio is then scaled to an RSI-like value between 0 and 100, which is used to derive an adaptive smoothing factor (alpha). The alpha adjusts dynamically—when the change ratio indicates strong momentum, alpha increases, making the indicator more responsive to recent changes; when momentum is weak, alpha decreases, increasing smoothing to filter out noise.
The adaptive OBV is calculated by applying this alpha to combine the current OBV and the previous adaptive OBV value. This adaptive smoothing allows the indicator to adjust its sensitivity based on market conditions, becoming more responsive during strong momentum and more stable during weak momentum.
A smoothed OBV signal line is also computed using weighted moving averages for comparison. By analyzing the difference between the adaptive OBV and this smoothed signal line, the indicator identifies bullish or bearish trends. Positive differences suggest bullish momentum (bars above the middle line), while negative differences indicate bearish momentum (bars below the middle line).
• Volatility Calculations
The volatility function in the AOBV indicator identifies significant changes in volume momentum by estimating the variability of recent momentum shifts. It begins by calculating the difference between the AOBV and its smoothed signal line, capturing the current change in volume momentum. To assess volatility, the function employs exponential smoothing to compute adaptive averages of both the volume and the squared volume over a specified lookback period. By combining these averages, it estimates the current standard deviation of the volume momentum changes, effectively measuring how much the momentum deviates from its average level.
This estimated volatility is then compared to historical volatility values over the lookback period to determine how frequently the current volatility exceeds past levels. If the proportion of times the current volatility is higher than previous values and it surpasses a user-defined threshold, it signals a significant volatility event, indicating a potential volume climax
• Trend Calculations
As outlined earlier in description, the trend function is composed of several components:
The Supertrend indicator calculates dynamic support and resistance levels based on price movements and volatility using the Average True Range. It assesses whether the closing price is above or below these levels to determine the primary trend direction. If the price is above the Supertrend line: The market is considered to be in an uptrend. If the price is below the Supertrend line: The market is considered to be in a downtrend.
The Vertical Horizontal Filter measures the strength of the trend by comparing the price range over a period to the sum of absolute price changes. It does this by comparing the difference between the highest and lowest prices over a given period (the "vertical" movement) to the sum of the absolute differences between consecutive prices (the "horizontal" movement). A higher VHF value indicates a stronger, more directional trend, while a lower value suggests that the market is moving sideways without a clear trend.. If the VHF detects consolidation, it downgrades the trend strength indicated by the Supertrend. This prevents the trend function from overemphasizing the Supertrend's signals when the market lacks clear direction.
The Adaptive RSI Analyzes recent changes in the AOBV to identify whether volume momentum is strengthening or weakening (based on the volume percent change) correlating price movement with volume momentum. It only upgrades or downgrades on a bar by bar basis if price movement is correlating with percent change. This acts as a corrective measure against the VHF since quiet periods (consolidation) can occur between strong moves. The alpha generated from the adaptive function is the same as the one generated with the AOBV calculations.
█ Disclaimer
This script is provided for educational and informational purposes only and should not be considered financial advice. Trading financial instruments carries a high level of risk and may not be suitable for all investors. Before using this script, please consult with a qualified financial advisor to ensure it aligns with your individual circumstances. The author does not guarantee the accuracy or completeness of the script and is not responsible for any losses or damages that may occur from its use. Use this script at your own risk.
Volume Zones Internal Visualizer [LuxAlgo]The Volume Zones Internal Visualizer is an alternate candle type intended to reveal lower timeframe volume activity while on a higher timeframe chart.
It displays the candle's range, the highest and lowest zones of accumulated volume throughout the candle, and the Lower Timeframe (LTF) candle close, which contained the most volume in the session (Candle Session).
🔶 USAGE
The indicator is intended to be used as its own independent candle type. It is not a replacement for traditional candlesticks; however, it is recommended that you hide the chart's display when using this indicator. Another option is to display this indicator in an additional pane alongside the normal chart, as displayed above.
The display consists of candle ranges represented by outlined boxes, within the ranges you will notice a transparent-colored zone, a solid-colored zone, and a line.
Each of these displays different points of volume-related information from an analysis of LTF data.
In addition to this analysis, the indicator also locates the LTF candle with the highest volume, and displays its close represented by the line. This line is considered as the "Peak Activity Level" (PAL), since throughout the (HTF) candle session, this candle's close is the outcome of the most volume transacted at the time.
We are further tracking these PALs by continuing to extend them into the future, looking towards them for potential further interaction. Once a PAL is crossed, we are removing it from display as it has been mitigated.
🔶 DETAILS
The indicator aggregates the volume data from each LTF candle and creates a volume profile from it; the number of rows in the profile is determined by the "Row Size" setting.
With this profile, it locates and displays the highest (solid area) and lowest (transparent area) volume zones from the profile created.
🔶 SETTINGS
Row Size: Sets the number of rows used for the calculation of the volume profile based on LTF data.
Intrabar Timeframe: Sets the Lower Timeframe to use for calculations.
Show Last Unmitigated PALs: Choose how many Unmitigated PALs to extend.
Style: Toggle on and off features, as well as adjust colors for each.
Auto-Length Moving Average + Trend Signals (Zeiierman)█ Overview
The Auto-Length Moving Average + Trend Signals (Zeiierman) is an easy-to-use indicator designed to help traders dynamically adjust their moving average length based on market conditions. This tool adapts in real-time, expanding and contracting the moving average based on trend strength and momentum shifts.
The indicator smooths out price fluctuations by modifying its length while ensuring responsiveness to new trends. In addition to its adaptive length algorithm, it incorporates trend confirmation signals, helping traders identify potential trend reversals and continuations with greater confidence.
This indicator suits scalpers, swing traders, and trend-following investors who want a self-adjusting moving average that adapts to volatility, momentum, and price action dynamics.
█ How It Works
⚪ Dynamic Moving Average Length
The core feature of this indicator is its ability to automatically adjust the length of the moving average based on trend persistence and market conditions:
Expands in strong trends to reduce noise.
Contracts in choppy or reversing markets for faster reaction.
This allows for a more accurate moving average that aligns with current price dynamics.
⚪ Trend Confirmation & Signals
The indicator includes built-in trend detection logic, classifying trends based on market structure. It evaluates trend strength based on consecutive bars and smooths out transitions between bullish, bearish, and neutral conditions.
Uptrend: Price is persistently above the adjusted moving average.
Downtrend: Price remains below the adjusted moving average.
Neutral: Price fluctuates around the moving average, indicating possible consolidation.
⚪ Adaptive Trend Smoothing
A smoothing factor is applied to enhance trend readability while minimizing excessive lag. This balances reactivity with stability, making it easier to follow longer-term trends while avoiding false signals.
█ How to Use
⚪ Trend Identification
Bullish Trend: The indicator confirms an uptrend when the price consistently stays above the dynamically adjusted moving average.
Bearish Trend: A downtrend is recognized when the price remains below the moving average.
⚪ Trade Entry & Exit
Enter long when the dynamic moving average is green and a trend signal occurs. Exit when the price crosses below the dynamic moving average.
Enter short when the dynamic moving average is red and a trend signal occurs. Exit when the price crosses above the dynamic moving average.
█ Slope-Based Reset
This mode resets the trend counter when the moving average slope changes direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to filter out noise and only reset when a clear shift in momentum occurs.
Higher slope length (N): More stable trends, fewer resets.
Lower slope length (N): More reactive to small price swings, frequent resets.
Useful in swing trading to track significant trend reversals.
█ RSI-Based Reset
The counter resets when the Relative Strength Index (RSI) crosses predefined overbought or oversold levels.
⚪ Interpretation & Insights
Best for reversal traders who look for extreme overbought/oversold conditions.
High RSI threshold (e.g., 80/20): Fewer resets, only extreme conditions trigger adjustments.
Lower RSI threshold (e.g., 60/40): More frequent resets, detecting smaller corrections.
Great for detecting exhaustion in trends before potential reversals.
█ Volume-Based Reset
A reset occurs when current volume significantly exceeds its moving average, signaling a shift in market participation.
⚪ Interpretation & Insights
Best for traders who follow institutional activity (high volume often means large players are active).
Higher volume SMA length: More stable trends, only resets on massive volume spikes.
Lower volume SMA length: More reactive to short-term volume shifts.
Useful in identifying breakout conditions and trend acceleration points.
█ Bollinger Band-Based Reset
A reset occurs when price closes above the upper Bollinger Band or below the lower Bollinger Band, signaling potential overextension.
⚪ Interpretation & Insights
Best for traders looking for volatility-based trend shifts.
Higher Bollinger Band multiplier (k = 2.5+): Captures only major price extremes.
Lower Bollinger Band multiplier (k = 1.5): Resets on moderate volatility changes.
Useful for detecting overextensions in strong trends before potential retracements.
█ MACD-Based Reset
A reset occurs when the MACD line crosses the signal line, indicating a momentum shift.
⚪ Interpretation & Insights
Best for momentum traders looking for trend continuation vs. exhaustion signals.
Longer MACD lengths (260, 120, 90): Captures major trend shifts.
Shorter MACD lengths (10, 5, 3): Reacts quickly to momentum changes.
Useful for detecting strong divergences and market shifts.
█ Stochastic-Based Reset
A reset occurs when Stochastic %K crosses overbought or oversold levels.
⚪ Interpretation & Insights
Best for short-term traders looking for fast momentum shifts.
Longer Stochastic length: Filters out false signals.
Shorter Stochastic length: Captures quick intraday shifts.
█ CCI-Based Reset
A reset occurs when the Commodity Channel Index (CCI) crosses predefined overbought or oversold levels. The CCI measures the price deviation from its statistical mean, making it a useful tool for detecting overextensions in price action.
⚪ Interpretation & Insights
Best for cycle traders who aim to identify overextended price deviations in trending or ranging markets.
Higher CCI threshold (e.g., ±200): Detects extreme overbought/oversold conditions before reversals.
Lower CCI threshold (e.g., ±10): More sensitive to trend shifts, useful for early signal detection.
Ideal for detecting momentum shifts before price reverts to its mean or continues trending strongly.
█ Momentum-Based Reset
A reset occurs when Momentum (Rate of Change) crosses zero, indicating a potential shift in price direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to track acceleration vs. deceleration.
Higher momentum length: Captures longer-term shifts.
Lower momentum length: More responsive to short-term trend changes.
█ How to Interpret the Trend Strength Table
The Trend Strength Table provides valuable insights into the current market conditions by tracking how the dynamic moving average is adjusting based on trend persistence. Each metric in the table plays a role in understanding the strength, longevity, and stability of a trend.
⚪ Counter Value
Represents the current length of trend persistence before a reset occurs.
The higher the counter, the longer the current trend has been in place without resetting.
When this value reaches the Counter Break Threshold, the moving average resets and contracts to become more reactive.
Example:
A low counter value (e.g., 10) suggests a recent trend reset, meaning the market might be changing directions frequently.
A high counter value (e.g., 495) means the trend has been ongoing for a long time, indicating strong trend persistence.
⚪ Trend Strength
Measures how strong the current trend is based on the trend confirmation logic.
Higher values indicate stronger trends, while lower values suggest weaker trends or consolidations.
This value is dynamic and updates based on price action.
Example:
Trend Strength of 760 → Indicates a high-confidence trend.
Trend Strength of 50 → Suggests weak price action, possibly a choppy market.
⚪ Highest Trend Score
Tracks the strongest trend score recorded during the session.
Helps traders identify the most dominant trend observed in the timeframe.
This metric is useful for analyzing historical trend strength and comparing it with current conditions.
Example:
Highest Trend Score = 760 → Suggests that at some point, there was a strong trend in play.
If the current trend strength is much lower than this value, it could indicate trend exhaustion.
⚪ Average Trend Score
This is a rolling average of trend strength across the session.
Provides a bigger picture of how the trend strength fluctuates over time.
If the average trend score is high, the market has had persistent trends.
If it's low, the market may have been choppy or sideways.
Example:
Average Trend Score of 147 vs. Current Trend Strength of 760 → Indicates that the current trend is significantly stronger than the historical average, meaning a breakout might be occurring.
Average Trend Score of 700+ → Suggests a strong trending market overall.
█ Settings
⚪ Dynamic MA Controls
Base MA Length – Sets the starting length of the moving average before dynamic adjustments.
Max Dynamic Length – Defines the upper limit for how much the moving average can expand.
Trend Confirmation Length – The number of bars required to validate an uptrend or downtrend.
⚪ Reset & Adaptive Conditions
Reset Condition Type – Choose what triggers the moving average reset (Slope, RSI, Volume, MACD, etc.).
Trend Smoothing Factor – Adjusts how smoothly the moving average responds to price changes.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
AI Volume Breakout for scalpingPurpose of the Indicator
This script is designed for trading, specifically for scalping, which involves making numerous trades within a very short time frame to take advantage of small price movements. The indicator looks for volume breakouts, which are moments when trading volume significantly increases, potentially signaling the start of a new price movement.
Key Components:
Parameters:
Volume Threshold (volumeThreshold): Determines how much volume must increase from one bar to the next for it to be considered significant. Set at 4.0, meaning volume must quadruplicate for a breakout signal.
Price Change Threshold (priceChangeThreshold): Defines the minimum price change required for a breakout signal. Here, it's 1.5% of the bar's opening price.
SMA Length (smaLength): The period for the Simple Moving Average, which helps confirm the trend direction. Here, it's set to 20.
Cooldown Period (cooldownPeriod): Prevents signals from being too close together, set to 10 bars.
ATR Period (atrPeriod): The period for calculating Average True Range (ATR), used to measure market volatility.
Volatility Threshold (volatilityThreshold): If ATR divided by the close price exceeds this, the market is considered too volatile for trading according to this strategy.
Calculations:
SMA (Simple Moving Average): Used for trend confirmation. A bullish signal is more likely if the price is above this average.
ATR (Average True Range): Measures market volatility. Lower volatility (below the threshold) is preferred for this strategy.
Signal Generation:
The indicator checks if:
Volume has increased significantly (volumeDelta > 0 and volume / volume >= volumeThreshold).
There's enough price change (math.abs(priceDelta / open) >= priceChangeThreshold).
The market isn't too volatile (lowVolatility).
The trend supports the direction of the price change (trendUp for bullish, trendDown for bearish).
If all these conditions are met, it predicts:
1 (Bullish) if conditions suggest buying.
0 (Bearish) if conditions suggest selling.
Cooldown Mechanism:
After a signal, the script waits for a number of bars (cooldownPeriod) before considering another signal to avoid over-trading.
Visual Feedback:
Labels are placed on the chart:
Green label for bullish breakouts below the low price.
Red label for bearish breakouts above the high price.
How to Use:
Entry Points: Look for the labels on your chart to decide when to enter trades.
Risk Management: Since this is for scalping, ensure each trade has tight stop-losses to manage risk due to the quick, small movements.
Market Conditions: This strategy might work best in markets with consistent volume and price changes but not extreme volatility.
Caveats:
This isn't real AI; it's a heuristic based on volume and price. Actual AI would involve machine learning algorithms trained on historical data.
Always backtest any strategy, and consider how it behaves in different market conditions, not just the ones it was designed for.
My auto dual avwap with Auto swing low/pivot low finderWelcome to My Auto Dual AVWAP with Auto Swing Low/Pivot Low Finder – an open-source TradingView indicator designed to enhance your technical analysis toolbox. This indicator is published under the Mozilla Public License 2.0 and is available for anyone to study, modify, and distribute.
Key Features
Auto Pivot/Swing Low Finder:
In addition to VWAP lines, the indicator incorporates an automatic detection mechanism for swing lows/pivot lows. This feature assists in identifying potential support areas and price reversals, further enhancing your trading strategy.
Dual VWAP Calculation with high/low range:
The indicator calculates two separate volume-weighted average price (VWAP) lines based on different price inputs (low and high prices) and defined time sessions. This allows traders to gain a more nuanced view of market activity during specific trading periods.
Customizable Time Sessions:
You can specify distinct start and end times for each VWAP calculation session. This flexibility helps you align the indicator with your preferred trading hours or market sessions, making it adaptable to various time zones and trading styles.
Easy to Customize:
With clear code structure and detailed comments, the script is designed to be accessible even for traders who want to customize or extend its functionality. Whether you're a seasoned coder or just starting out, the code is written with transparency in mind.
How It Works
Session Initialization:
The script sets up two distinct time sessions using user-defined start and end times. For each session, it detects the beginning of the trading period to reset cumulative values.
Cumulative Calculations:
During each session, the indicator accumulates the product of price and volume as well as the total volume. The VWAP is then computed as the ratio of these cumulative values.
Dual Data Sources:
Two separate data inputs (using low and high prices) are used to calculate two VWAP lines. This dual approach provides a broader perspective on market trends and can help in identifying dynamic support and resistance levels.
Visualization:
The calculated VWAP lines are plotted directly on your chart with distinct colors and thickness settings for easy visualization. This makes it simple to interpret the data at a glance.
Why Use This Indicator?
Whether you are a day trader, swing trader, or simply looking to refine your market analysis, My Auto Dual AVWAP with Auto Swing Low/Pivot Low Finder offers a robust set of features that can help you identify key price levels and improve your decision-making process. Its open-source nature invites collaboration and customization, ensuring that you can tailor it to fit your unique trading style.
Feel free to explore, modify, and share this indicator. Happy trading!
N day Anchored Rolling VWAP
⭐ Overview
The N-Day Anchored Rolling VWAP is designed to automate and simplify the use of anchored VWAP for traders, making it an invaluable tool for those who rely on VWAP for trend filtering, support/resistance identification, or strategy implementation. This indicator removes the tedious and repetitive manual process of setting the anchored VWAP for multiple charts or stocks in a watchlist. Once added, the indicator dynamically maintains and updates the anchor point across charts, allowing users to focus on their analysis instead of time-consuming adjustments.
________________________________________
⭐ Goal of the Indicator
The primary goal of this indicator is to automate the manual process of anchoring the VWAP for multiple charts or stocks. By removing the need to manually set the anchor every day, this script simplifies the workflow and saves valuable time for traders.
The examples and chart illustrations provided showcases some of the most common and widely used ways traders utilize anchored VWAP in their strategies. They are intended as demonstrations, not exhaustive applications, as specific use cases may vary based on individual trading approaches.
________________________________________
⭐ Why the Name?
1).N-Day Anchored:
The term "N-Day Anchored" reflects the flexibility of the anchor point. Users can specify the number of days prior to the present day where the VWAP calculation should begin. For
example:
🟢"0" anchors the VWAP to the current day's opening.
🟢"1" anchor it to the previous day's opening.
🟢"2" anchors it to the day before yesterday, and so on.
2).Rolling:
The "Rolling" aspect signifies that the anchor point remains consistent relative to the current day. For instance:
If the anchor is set to the day before yesterday, the indicator will continuously adjust to
ensure the anchor remains two days prior, even as new trading days begin. This means the
lines plotted always reflect the VWAP anchored to the chosen
relative day, regardless of how many days have passed.
________________________________________
⭐ Inputs, Settings, and Functionality
1). Anchor Point (Days Prior): Use the "Days prior" input to set the anchor point for VWAP:
🟢"0": Anchors the VWAP to the start of the current day's trading session.
🟢"1": (default): Anchors the VWAP to the start of the previous day's trading session.
🟢"2": Anchors the VWAP to the day before yesterday, and so on.
This input determines the starting point for the VWAP calculation and updates dynamically each day.
2). VWAP Line Customization: The orange dashed line represents the anchored VWAP.
You can adjust its color through the input’s menu.
3). Standard Deviation Bands:
⭕ Three Bands: The indicator plots three upper and three lower bands to represent standard deviation levels from the VWAP.
➡️ On the current day, these bands are plotted as thick, solid lines with bright colors, providing clear real-time plotting.
➡️ On historical days, the bands appear as faint, dotted lines, offering a visual
representation of the anchored VWAP without cluttering the chart.
⭕ Customizable Settings:
➡️Multiplier: Set the distance of each band from the VWAP.
➡️Colors: Choose separate colors for the upper and lower bands.
➡️Visibility Toggle: Enable or disable specific bands as needed.
This clear differentiation ensures traders can easily distinguish between real-time plotting (current day) and the visualization of historical anchoring.
________________________________________
⭐ Example Use Cases
1). Trend Filter: Use the anchored VWAP as a trend filter:
➡️When the price is above the anchored VWAP, the trend is bullish.
➡️When the price is below the anchored VWAP, the trend is bearish.
2). 2-Day Anchored VWAP Strategy: This strategy uses the VWAP anchored to the
previous day’s opening candle, continuing through today’s price action. Traders can
identify entry and exit points based on how the price interacts with this 2-day anchored VWAP.
3). Standard Deviation Bands as Support or Resistance: Utilize the standard deviation
bands to find potential support and resistance levels, as prices often react near these
bands.
4). VWAP Rejection (VWAP Bounce): Look for rejections near the anchored VWAP to
confirm a continuation of the current trend. For example, if the price rejects the 2-day
anchored VWAP, it can signal a strong continuation in the current trend direction.
GOLD Volume-Based Entry StrategyShort Description:
This script identifies potential long entries by detecting two consecutive bars with above-average volume and bullish price action. When these conditions are met, a trade is entered, and an optional profit target is set based on user input. This strategy can help highlight momentum-driven breakouts or trend continuations triggered by a surge in buying volume.
How It Works
Volume Moving Average
A simple moving average of volume (vol_ma) is calculated over a user-defined period (default: 20 bars). This helps us distinguish when volume is above or below recent averages.
Consecutive Green Volume Bars
First bar: Must be bullish (close > open) and have volume above the volume MA.
Second bar: Must also be bullish, with volume above the volume MA and higher than the first bar’s volume.
When these two bars appear in sequence, we interpret it as strong buying pressure that could drive price higher.
Entry & Profit Target
Upon detecting these two consecutive bullish bars, the script places a long entry.
A profit target is set at current price plus a user-defined fixed amount (default: 5 USD).
You can adjust this target, or you can add a stop-loss in the script to manage risk further.
Visual Cues
Buy Signal Marker appears on the chart when the second bar confirms the signal.
Green Volume Columns highlight the bars that fulfill the criteria, providing a quick visual confirmation of high-volume bullish bars.
Works fine on 1M-2M-5M-15M-30M. Do not use it on higher TF. Due the lack of historical data on lower TF, the backtest result is limited.
Absolute Volume Levels [AlgoRich]This indicator classifies the volume of each candle into three levels—weak, intermediate, and strong—using absolute thresholds. It allows you to define fixed levels for what constitutes low, moderate, or high activity.
Key Features:
Classification by Absolute Thresholds:
The indicator uses two configurable cut-off points:
Intermediate Volume Threshold: The value from which volume is no longer considered weak and is classified as intermediate.
Strong Volume Threshold: The value from which volume is considered strong.
Any volume below the intermediate threshold is classified as weak; volume between the thresholds is classified as intermediate; and volume above the strong threshold is considered strong.
Distinction Between Bullish and Bearish Candles:
Bullish candles are displayed with positive volume (bars pointing upward).
Bearish candles are shown with negative volume (bars pointing downward).
This makes it easier to quickly identify the prevailing direction of volume activity.
Customizable Colors:
You can independently adjust the colors for each volume level for both bullish and bearish candles. This helps to visually highlight unusual volume levels, which can be useful for detecting breakouts or liquidity sweeps.
Benefits of Using This Indicator:
Simplicity and Clarity:
By using absolute thresholds, you eliminate the dependency on moving averages, obtaining a direct measure of volume relative to fixed values. This is particularly useful if you know the typical volume ranges for your asset.
Adaptability:
The thresholds and colors can be easily adjusted to suit different assets and timeframes, allowing you to fine-tune the indicator to your trading style and needs.
Effective Visualization:
The representation of volume bars—differentiated by both direction (bullish or bearish) and intensity (weak, intermediate, or strong)—facilitates the quick identification of changes in market activity, helping you make more informed trading decisions.
This indicator is ideal for traders who want to assess volume in absolute terms and clearly visualize spikes in activity that may indicate trading opportunities or confirm trend changes.
STRAW Volume Spike IndicatorThis is basically a:
High-Volume Impulse Detector
The High-Volume Impulse Detector is a refined tool designed to highlight key moments of explosive volume surges in the market, specifically calibrated for assets like Bitcoin on the 15-minute timeframe. Unlike generic volume-based indicators, this script doesn’t just flag high volume—it intelligently adapts to market dynamics by incorporating a custom-moving average baseline and highlighting instances where volume exceeds a significant threshold relative to the average.
Key Features
✅ Adaptive Volume Benchmark – Uses a dynamic moving average to filter out noise and pinpoint meaningful volume spikes.
✅ Impulse Confirmation – Only highlights volume bars that exceed the 50% threshold above the baseline, ensuring signals capture real liquidity shifts.
✅ Smart Color Coding – Differentiates high-impact bullish and bearish volume with distinct visual cues for easy market structure identification.
✅ Designed for Order Block Traders – Helps validate liquidity-driven price movements essential for refining order block and break-of-structure strategies.
Unlike conventional volume overlays, this tool helps traders connect volume surges to key structural shifts, making it an ideal companion for those navigating momentum shifts, market inefficiencies, and institutional footprints.
⚡ Best used on BTC 15m for tracking aggressive volume-driven moves in real-time.
All-in-One BB Stoch RSI + PSAR + Keltner + ADX + Trailing StopThis invite-only indicator combines multiple advanced tools into a single script, generating buy/short signals alongside comprehensive alerts. Priced at just $25/month, it’s ideal for both manual trading and integration with bots.
Key Features & Alerts
Buy & Short Signals
Quickly identify potential long or short entries.
Three Take-Profit (TP) Lines
Long: After a BUY signal, three lines appear (TP1, TP2, TP3), allowing you to take partial profits—e.g., 30%, 30%, 30%—and keep the remaining 10% to trail.
Short: Similarly, after a SHORT signal, three TP lines help you scale out as price moves in your favor.
Stop-Loss Line (Based on Bollinger Width)
Precisely calculates a stop-loss distance using Bollinger Band width (a percentage below for longs or above for shorts).
Trailing Stop-Loss
Any remaining position can be trailed under (or above) Parabolic SAR, Keltner Channels, and Bollinger, with an extra 0.2% margin for added caution.
ADX + Stoch RSI + RSI (MA)
Filter out weak trends, gauge volatility, and confirm overbought/oversold regions in real time.
Compatible With Trading Bots
Built-in alerts can be connected to bot logic (via webhooks), enabling automated management of entries, TPs, stop-losses, and trailing stops.
Why Use This Indicator?
All-in-One Script: Eliminates chart clutter by merging multiple indicators into one.
Partial Take-Profits: Clearly defined TP1, TP2, TP3 lines help you lock in gains progressively.
Enhanced Risk Control: Stop-loss and trailing stop lines update automatically, keeping your trades protected.
Easy Bot Integration: Perfect for traders wanting direct alerts or automated trading setups.
Invite-Only for Exclusive Access: Maintain a competitive edge with protected source code.
How to Use:
Add to Chart
After access is granted, go to Indicators → Invite-Only Scripts and select this script.
Enable Specialized Alerts
Receive notifications for Buy/Short signals, the three TP lines, Stop-Loss, and Trailing Stop events.
Scale Out or Automate
Manually close partial positions at the TP lines (e.g., 30% each time) and let the remaining 10% trail for bigger moves.
Or link these alerts to a trading bot for fully automated position management.
Price: $25/month
Interested? Contact me (via direct message or email) for more details and to subscribe. Experience clearer charts, timely signals, and robust risk management in one invite-only package!
True Liquidity BlocksSo basically I've been deep diving into liquidity trading concepts similar to ICT (Inner Circle Trader) and developed an indicator that breaks down market movement through a volume-centric lens.
Key Concept:
Markets move not just by price, but by resolving trapped positions
Volume segments, not time intervals, show true market dynamics
VWAP (Volume Weighted Average Price) becomes a key structural reference
What Makes This Different:
Tracks volume segments instead of fixed time frames
Identifies "trapped" trader positions
Measures liquidity level efficiency
Color-codes bars based on nearest liquidity zone
Indicator Features:
Cyan/Red liquidity levels showing buy/sell pressure
Efficiency tracking for each level
Dynamic volume-based segmentation
Bar coloring to show nearest liquidity zone
Theoretical Inspiration: Viewed markets as energy systems where:
Positions create potential energy
Price movement resolves this energy
Trends form through systematic position liquidation
VWAP Recalculation in Each Segment:
Segment Start:
VWAP resets when volume threshold User Inputtable (600,000) is reached
Uses the last 4 price values (High, Low, Close, Close) for calculation
Weighted by volume traded during that segment
Calculation Method:
pineCopy = ta.vwap(hlcc4, na(segment_start) ? true : na, 1)
hlcc4: Combines high, low, close prices
na(segment_start): Ensures reset at new segment
Weighted by volume, not equal time intervals
Key Points:
Dynamic recalculation each segment
Reflects most recent trading activity
Provides real-time fair price reference
Tracks positioning
Essentially, VWAP resets and recalculates with each new volume segment, creating a rolling, volume-weighted average price that maps trader positioning.
BSL (Buy Side Liquidity) and SSL (Sell Side Liquidity) Explained:
When a volume segment closes relative to VWAP, it creates natural positioning traps:
BSL (Cyan) - Created when price closes BELOW THAT SEGMENT'S VWAP:
Bulls are positioned BELOW VWAP (trapped)
Shorts are positioned ABOVE VWAP (In Profit)
SSL (Red) - Created when price closes ABOVE THAT SEGMENT"S VWAP:
Bulls are positioned ABOVE VWAP (trapped)
Shorts are positioned BELOW VWAP (trapped)
Core Mechanism:
VWAP acts as a reference point for trader positioning
Trapped positions create inherent market tension
Levels expand to show accumulating pressure
Color-coded for quick identification of potential move direction
The goal: Visualize where traders are likely "stuck" and must eventually resolve their positions or liquidate other's, driving market movement.
It was just a fun experiment but If ya'll have any thoughts on it or what I could do to improve it, I would appreciate it.
Just a little note, It's optimized for futures, but if u uncheck the "Rest at Futures Open ?" setting, it allow full reign of any asset with volume data.
Draw on Liquidity [PhenLabs]📊 Draw on Liquidity (DOL) Indicator
Version: PineScript™ v6
Description
The Draw on Liquidity (DOL) indicator is an advanced technical analysis tool designed to identify and visualize significant liquidity zones in the market. It combines volume analysis, pivot point detection, and real-time proximity alerts to help traders identify potential support and resistance levels where significant trading activity occurs. The indicator features dual display modes, adaptive volume thresholds, and a comprehensive real-time dashboard.
🔧 Components
• Liquidity Detection: Advanced pivot point analysis with volume validation
• Volume Analysis: Adaptive volume threshold system
• Display Modes: Historical and Current visualization options
• Proximity Detection: Real-time price-to-level distance monitoring
• Visual Dashboard: Dynamic status display with alert system
🚨 Important Dashboard Features 🚨
The dashboard provides real-time information about:
• High Draw Zones: Resistance levels with significant liquidity
• Low Draw Zones: Support levels with high trading activity
• Current Price: Real-time price monitoring
• Active Alerts: Proximity warnings when price approaches liquidity zones
📈 Visualization
• Historical Mode: Displays all past and present liquidity zones
• Current Mode: Shows only active, unhit liquidity levels
• Color-coded lines: Blue for high liquidity, Red for low liquidity
• Dynamic line extension: Updates with price movement
• Alert indicators: Visual signals when price approaches zones
Historical Visualization
Current Visualization
📌 Usage Guidelines
The indicator is highly customizable with several key parameters:
Pivot Settings:
• Shorter lengths (3-7): More frequent zones, suitable for scalping
• Longer lengths (7-15): Major zones, better for swing trading
Volume Analysis:
• Lower multiplier (1.5-2.0): More zones, higher sensitivity
• Higher multiplier (2.0-3.0): Major zones only, reduced noise
✅ Best Practices:
• Start with default settings and adjust based on timeframe
• Use Historical mode for analysis, Current mode for active trading
• Monitor dashboard alerts for potential trade setups
• Combine with trend analysis for better entry/exit points
⚠️ Limitations
• Requires sufficient volume data for accurate analysis
• Performance varies with market volatility
• Historical mode may become visually cluttered on longer timeframes
• Best performance during regular market hours
What Makes This Unique
• Dual Display System: Choose between historical analysis and current trading modes
• Volume-Validated Zones: Only marks levels with significant trading activity
• Real-time Proximity Alerts: Dynamic warnings when approaching liquidity zones
• Adaptive Threshold System: Automatically adjusts to market conditions
• Comprehensive Dashboard: All-in-one view of current market status
🔧 How It Works
The indicator processes market data through three main components:
1. Liquidity Detection (40% weight):
• Identifies pivot points using customizable lookback periods
• Validates levels with volume analysis
• Marks significant zones based on combined criteria
2. Volume Analysis (40% weight):
• Calculates dynamic volume thresholds
• Compares current volume to moving average
• Filters out low-volume noise
3. Proximity Analysis (20% weight):
• Monitors price distance to active zones
• Triggers alerts based on customizable thresholds
• Updates dashboard status in real-time
💡 Note: For optimal results, combine with price action analysis and consider using multiple timeframes for confirmation. The indicator performs best in markets with consistent volume and clear trend structure.
Modified Volume IndicatorThis indicator colors volume bars based on price and range conditions for a given period:
Green Bars:
The close is at least 70% of the way up the daily range (from the low).
The close is also 1% or more above the low.
Red Bars:
The close is at least 70% of the way down the daily range (from the high).
The close is also 1% or more below the high.
Gray Bars:
Volume bars that don’t meet the above conditions are neutral.
Purpose
Green Bars highlight strong upward closes.
Red Bars indicate weak downward closes.
Gray Bars show neutral or inconclusive price movement.
This indicator helps traders identify momentum shifts and trend strength in real-time.
