MissedPrice[KiomarsRakei]█ Overview:
The MissedPrice script identifies price zones based on significant Open Interest shifts (including gaps) aligned with price movements. When sudden market positioning changes occur, the script pinpoints target zones where price is believed to return. Each signal directs you toward these opportunity zones with supporting metrics like Notional Value, Volume Ratio, and Funding Rate timing to help qualify the signals.
█ Core Concept:
Markets frequently "miss" critical price levels during rapid movements. These missed zones occur when:
Orders are revoked during sudden price shifts
Exchanges fail to execute at intended prices
TP/SL orders miss exact execution points
Institutional orders create supply/demand imbalances
Market structure shifts bypass key levels
Liquidity voids form from positioning changes
These missed price zones create natural targets that price tends to revisit. The MissedPrice indicator identifies these zones by analyzing the relationship between Open Interest, Price, and Volume.
█ Closer look at target zones:
Target zones are calculated using the open price where significant OI shifts occur, with zone width adjusted based on the High-Low ratio and ATR to adapt to current volatility. If a zone is touched once after a signal is generated, it is no longer valid. This can be understood as the missing positions and volume having now entered the market.
Each zone's Notional Value (NV) - calculated as OI change multiplied by price - measures the financial impact of the positioning shift. Higher NV indicates more significant market activity and greater liquidity, making price more likely to return to that area. Users can adjust NV ratio thresholds in the inputs to filter signal quality.
█ Features:
Statistical Dashboard: Real-time statistics table showing performance metrics for signals
Funding Rate Visualization: Vertical lines indicate funding rate times to help correlate signals with these significant market events
Alert Capability: Set up alerts for new signals to never miss a trading opportunity
Dynamic Entry Lines: Draws adjustable entry and target level lines to facilitate precise trade execution and measurement, customizable via inputs
█ Closer Look at Statistics Table:
Signal Count: Total numbers of signals generated and total candles included (limited by TradingView's OI historical data)
Win Rate: can be interpreted as the hit rate of target zones. Whenever price reaches the zone, it is calculated as a win, regardless of how far price may have moved in the opposite direction beforehand. This metric measures the script's accuracy in identifying price zones that eventually get revisited.
Total Profit: Calculates possible profit from first entry to target of hit signals - an estimate since humans can't take all signals and might have better entries or average down. By default is turned off can be turned on in the input menu.
Bad Signals: Signals taking too long to complete or moving much further from target
Bad but Hit: Bad signals that eventually hit the target despite early challenges
As you can see in the chart, there are zones that price does not return to touch. There is no guarantee that every identified zone will be reached, which is why the script provides additional qualification metrics to help assess signal probability.
Due to limitations of Open Interest data, you can only use this script on crypto pairs that have Open Interest data available on TradingView. While the script works on any timeframe, it performs best on timeframes less than daily.
█ Best Practices:
Use it in bar replay mode to master the strategy
Try different risk management systems based on how far price goes from the target and your creativity
Use the volume ratio and funding time data to further qualify signals
Notional Value plays a key role
Volumeanalysis
Volume Range Map [BigBeluga]This volume-based tool identifies the highest and lowest price extremes within a lookback period and constructs two dynamic range zones. Each zone is filled with horizontal volume profiles that visualize the distribution of traded volume across price bins, helping traders pinpoint key areas of accumulation and distribution.
🔵Key Features:
Dynamic High/Low Zones:
➣ Automatically detects the highest and lowest price levels within a custom lookback window.
➣ Draws two shaded zones: one near the high and one near the low, representing potential supply and demand areas.
Volume Profiles per Zone:
➣ Each zone is filled with a volume profile histogram divided into bins.
➣ The length of each horizontal bar represents the relative volume traded at that price level.
➣ Bins collectively account for 100% of the zone’s volume.
POC Highlighting:
➣ The price bin with the highest volume is marked as the Point of Control (POC), along with a label showing its share of total volume in percentage.
➣ A dashed line is drawn at the middle level of the zone.
Customizable Display:
➣ Traders can adjust the number of bins, zone width, and toggle midline visibility to match their strategy needs.
➣ Colors of upper and lower volume zones are fully customizable.
🔵Usage:
Supply/Demand Analysis: Use upper/lower volume zones to find key reversal or continuation areas where market participants were most active.
Volume Confirmation: Confirm breakout or rejection trades by watching how price reacts to high-volume areas inside each zone.
POC Strategy: Treat POC levels as magnet zones — price tends to revisit them due to high liquidity.
Trade Planning: Use volume-weighted levels instead of raw price action to plan entries, stop-losses, and targets.
Volume Range Map offers a clean and powerful way to analyze volume distribution at price extremes. By combining precise volume histograms, POC highlights, and adaptive zone drawing, it brings market structure into sharper focus for range and breakout traders alike.
Volume Profile + Price Action Strategy (POC-based)This indicator combines volume dynamics, price action patterns, and a simplified Point of Control (POC) to highlight potential high-probability trade zones.
🔍 Key Features
POC-Based Logic
Plots the POC from the most recent closed 10-minute candle as a horizontal level for intraday structure.
Volume Spike Detection
Highlights unusual activity based on volume compared to the average of the last N candles.
Effort vs. Result Analysis
Based on Wyckoff-inspired logic:
Absorption: Large volume, small body → possible buyer/seller absorption
False Move: Small volume, large body → potential fakeout
Price Action Recognition Detects:
Inside Bars
Pin Bars
Engulfing Candles
Signal Highlights
🔺 Absorption Signals (below bar, teal triangle)
🔻 False Move Signals (above bar, orange triangle)
🔷 POC Line
⚙️ Customizable Inputs
You can control signal sensitivity with these inputs:
Volume Spike Multiplier
Raise to filter only extreme volume spikes
→ Recommended: 2.0 to 3.0 for cleaner setups
Absorption Body Ratio
Lower to detect only very small bodies (tight candles)
→ Try 0.3 to 0.4 for stricter absorption logic
False Move Body Ratio
Raise to catch only large candles on low volume
→ Use 2.0+ to filter weak moves
🧠 How to Use
Use in confluence with:
Support/Resistance
VWAP or moving averages
Session opens/closes
Best on 10-minute charts, but adjustable
✅ Signal Tuning Tips
Want fewer but cleaner signals?
Increase Volume Spike Multiplier: 2.5+
Decrease Absorption Body Ratio: 0.3
Increase False Move Ratio: 2.0+
Want more frequent signals?
Lower Volume Multiplier: 1.2–1.5
Raise Absorption Ratio: 0.6+
Lower False Move Ratio: 1.2–1.4
📊 Recommended Timeframe
Optimized for 10-minute charts
Works intraday, especially around session opens and POC re-tests
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Past performance is not indicative of future results. Always do your own research and consult a licensed financial advisor before making trading decisions.
Use at your own risk.
Volume-RSI Colored Bars
The Volume Indicator, used in conjunction with the embedded Relative Strength Index (RSI), is a powerful tool for making informed trading decisions. Let’s break down how this indicator works and how it can assist you in your trading strategy.
Volume Indicator:
The Volume Indicator tracks the volume of trades occurring in a specific timeframe. Volume shows the number of shares or contracts traded, which can reveal the strength of a price move. If price is moving higher with increasing volume, it generally confirms that the move has more strength, indicating the potential for continuation. Conversely, if the price is moving lower with increasing volume, it indicates strong bearish momentum.
Volume Clusters:
In the chart, we can see various volume clusters highlighted in green, red, and grey. The green bars represent high volume, which can signal strong buying pressure. The red bars represent low volume, signaling that selling pressure is low. Grey bars indicate average volume.
High Volume (Green Bars): High buying pressure, indicating that there may be a strong move in the direction of the price.
Low Volume (Red Bars): Potential signal for a weak move, indicating a lack of participation in the current trend.
RSI (Relative Strength Index):
RSI is a momentum oscillator that indicates whether a market is overbought or oversold. The RSI ranges from 0 to 100, with readings above 70 suggesting an overbought market and readings below 30 suggesting an oversold market.
The RSI is also embedded in the indicator to give a better context when combined with volume. It adds an extra layer of analysis to interpret the price action.
How to Use Volume Indicator with RSI:
Confirming Breakouts:
If you see a breakout in price (an upward movement or downward movement) and the volume indicator shows high volume, this confirms the strength of the breakout.
If the RSI also supports the breakout (for example, it is crossing above 50 or above 70 for an uptrend), it further validates the trade.
Identifying Reversals:
When the price is reaching overbought or oversold levels (RSI above 70 or below 30) and there is low volume (red bars), this may indicate a potential reversal.
If the price is oversold and RSI shows values below 30 with increasing volume (green bars), this could signal a potential buying opportunity as a reversal might occur.
Volume Divergence:
If the price is making new highs, but the volume is declining (red bars), it may signal weakness in the trend, despite the RSI indicating strength. This divergence can help traders anticipate a potential reversal or breakout.
Example from the Chart:
Strong Buy Signal: The price is making an upward movement, the volume bars are turning green (indicating strong buying pressure), and RSI is rising above 50.
Bearish Divergence: You may see RSI moving higher, but volume bars are turning red (indicating weak momentum). This could signal that the upward movement lacks strength, suggesting a potential reversal.
By combining these two indicators, the Volume Indicator and the RSI, traders can make more informed decisions on whether the current trend is sustainable, or if a reversal or breakout is likely.
In conclusion, using the Volume Indicator and RSI together allows for:
Identifying high-volume breakouts and reversals
Filtering out weak price movements
Confirming trends with volume and momentum
This combination enhances trading strategies by providing clear signals of market strength or weakness, helping traders optimize their entry and exit points effectively.
MACD Volume Strategy (BBO + MACD State, Reversal Type)Overview
MACD Volume Strategy (BBO + MACD State, Reversal Type) is a momentum-based reversal system that combines MACD crossover logic with volume filtering to enhance signal accuracy and minimize noise. It aims to identify structural trend shifts and manage risk using predefined parameters.
※This strategy is for educational and research purposes only. All results are based on historical simulations and do not guarantee future performance.
Strategy Objectives
Identify early trend transitions with high probability
Filter entries using volume dynamics to validate momentum
Maintain continuous exposure using a reversal-style model
Apply a consistent 1:1.5 risk-to-reward ratio per trade
Key Features
Integrated MACD and volume oscillator filtering
Zero repainting (all signals confirmed on closed candles)
Automatic position flipping for seamless direction shifts
Stop-loss and take-profit based on recent structural highs/lows
Trading Rules
Long Entry Conditions
MACD crosses above the zero line (BBO Buy arrow)
Volume oscillator is positive (short EMA > long EMA)
MACD is above the signal line
Close any existing short and enter a new long
Short Entry Conditions
MACD crosses below the zero line (BBO Sell arrow)
Volume oscillator is positive
MACD is below the signal line
Close any existing long and enter a new short
Exit Rules
Take Profit (TP) = Entry ± (risk distance × 1.5)
Stop Loss (SL) = Recent swing low (for long) or high (for short)
Early Exit = Triggered when a reversal signal appears (flip logic)
Risk Management Parameters
Pair: ETH/USD
Timeframe: 10-minute
Starting Capital: $3,000
Commission: 0.02%
Slippage: 2 pip
Risk per Trade: 5% of account equity (adjusted for sustainable practice)
Total Trades: 312 (backtest on selected dataset)
※Risk parameters are fully configurable and should be adjusted to suit each trader's personal setup and broker conditions.
Parameters & Configurations
Volume Short Length: 6
Volume Long Length: 12
MACD Fast Length: 11
MACD Slow Length: 21
Signal Smoothing: 10
Oscillator MA Type: SMA
Signal Line MA Type: SMA
Visual Support
Green arrow = Long entry
Red arrow = Short entry
MACD lines, signal line, and histogram
SL/TP markers plotted directly on the chart
Strategic Advantages & Uniqueness
Volume filtering eliminates low-participation, weak signals
Structurally aligned SL/TP based on recent market pivots
No repainting — decisions are made only on closed candles
Always in the market due to the reversal-style framework
Inspirations & Attribution
This strategy is inspired by the excellent work of:
Bitcoinblockchainonline – “BBO_Roxana_Signals MACD + vol”
Leveraging MACD zero-line cross and volume oscillator for intuitive signal generation.
HasanRifat – “MACD Fake Filter ”
Introduced a signal filter using MACD wave height averaging to reduce false positives.
This strategy builds upon those ideas to create a more automated, risk-aware, and technically adaptive system.
Summary
MACD Volume Strategy is a clean, logic-first automated trading system built for precision-seeking traders. It avoids discretionary bias and provides consistent signal logic under backtested historical conditions.
100% mechanical — no discretionary input required
Designed for high-confidence entries
Can be extended with filters, alerts, or trailing stops
※Strategy performance depends on market context. Past performance is not indicative of future results. Use with proper risk management and careful configuration.
FunkyQuokka's $ Volume💡 Why $ Volume Matters
Share volume alone is a half-truth — 1M shares traded at $5 isn’t the same as 1M shares at $500. That’s where dollar volume steps in, offering a far more accurate view of institutional interest, breakout validity, liquidity zones and overall trader conviction.
📈 Features:
Clean histogram of dollar volume (close × volume)
Orange line showing customizable average $ volume
K/M/B formatting for axis scale (no huge ugly numbers)
Minimal design to blend into a multi-pane layout
⚙️ Inputs:
Tweakable average length – defaults to 20
By FunkyQuokka 🦘
Money Flow Oscillator [BullByte]
Overview :
The Money Flow Oscillator is a versatile technical analysis tool designed to provide traders with insights into market momentum through the Money Flow Index (MFI). By integrating trend logic, dynamic support/resistance levels, multi-timeframe analysis, and additional indicators like ADX and Choppiness, this script delivers a detailed view of market conditions and signal strength—all while adhering to TradingView’s publication guidelines.
Key Features :
Money Flow Analysis :
Uses the MFI to assess buying and selling pressure, helping traders gauge market momentum.
Trend Switch Logic :
Employs ATR-based calculations to determine trend direction. The background color adjusts dynamically to signal bullish or bearish conditions, and a prominent center line changes color to reflect the prevailing trend.
Dynamic Support/Resistance :
Calculates oscillator support and resistance over a pivot lookback period. These levels help you identify potential breakouts or reversals as the MFI moves above or below prior levels.
Signal Metrics & Classifications :
Combines MFI values with additional metrics to classify signals into categories such as “Strong Bullish,” “Bullish,” “Bearish,” or “Strong Bearish.” An accompanying note provides details on momentum entry and overall signal strength.
Multi-Timeframe Order Flow Confirmatio n:
Analyzes the MFI on a higher timeframe to confirm order flow. This extra layer of analysis helps verify the short-term signals generated on your primary chart.
Volume and ADX Integration :
Incorporates volume analysis and a manual ADX calculation to further validate signal strength and trend stability. A dashboard displays these metrics for quick reference.
Choppiness Indicator :
Includes a choppiness index to determine if the market is trending or choppy. When the market is identified as choppy, the script advises caution by adjusting the overall signal note.
Comprehensive Dashboard :
A built-in dashboard presents key metrics—including ADX, MFI, order flow, volume score, and support/resistance details—allowing you to quickly assess market conditions at a glance.
How to Use :
Trend Identification : Monitor the dynamic background and center line colors to recognize bullish or bearish market conditions.
Signal Confirmation : Use the oscillator support/resistance levels along with the signal classifications and dashboard data to make informed entry or exit decisions.
Multi-Timeframe Analysis : Validate short-term signals with the higher timeframe MFI order flow confirmation.
Risk Management : Always combine these insights with your own risk management strategy and further analysis.
Disclaimer :
This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Always perform your own analysis and use proper risk management before making any trading decisions. Past performance is not indicative of future results.
Multi-TF Volume & Price Analysis[BullByte]This indicator offers a comprehensive view of market dynamics by combining volume and price analysis across multiple timeframes. It calculates key metrics—such as bullish/bearish volume percentages, relative volume (RVol), cumulative volume delta (CVD), and price change percentages—for each timeframe that you choose (for example, 1, 3, 5, and 15 minutes). Here are the main features in simple terms:
- Multi-Timeframe Analysis:
The tool analyzes volume and price action from four different timeframes simultaneously. This means you get insights from short-term and slightly longer-term trends in one view.
- Volume Breakdown:
It splits the volume into bullish and bearish parts by comparing closing and opening prices. This helps you see how much of the trading volume is driving the market upward versus downward.
- Relative Volume & Spike Detection:
It calculates relative volume (current volume compared to a moving average) and flags any significant volume spikes based on a customizable multiplier. This feature helps identify unusual trading activity.
- Volume Smoothing Option:
For a cleaner signal, you can enable a smoothing option (using an exponential moving average) to reduce noise in the volume data.
- Advanced Summary:
The indicator combines volume data, price changes, and volume spikes to produce an overall market summary for each timeframe—labeling conditions as “Bullish Strong,” “Bullish Moderate,” “Bearish Strong,” “Bearish Moderate,” or “Neutral.”
- Cumulative Overview:
In addition to individual timeframe analysis, it aggregates the data to offer a cumulative view. This includes a collective bullish/bearish percentage, overall CVD, and even a simplified volume level (Low, Normal, or High).
- Customizable Dashboard:
All these metrics are neatly displayed in a dashboard on the chart. You can customize its position and text size. The dashboard uses dynamic, color-coded cells to instantly convey the market sentiment—making it easy to spot trends at a glance.
- VWAP Integration:
Finally, the dashboard includes VWAP information, providing an additional layer of context to the price action.
Overall, this indicator is designed to provide a quick yet thorough snapshot of market conditions, enabling traders to make more informed decisions with a clear visual representation of volume and price activity across different timeframes.
Smarter Money Concepts - FVGs [PhenLabs]📊 Smarter Money Concepts - FVGs
Version: PineScript™ v6
📌 Description
Smarter Money Concepts - FVGs is a sophisticated indicator designed to identify and track Fair Value Gaps (FVGs) in price action. These gaps represent market inefficiencies where price moves quickly, creating imbalances that often attract subsequent price action for mitigation. By highlighting these key areas, traders can identify potential zones for reversals, continuations, and price targets.
The indicator employs volume filtering ideology to highlight only the most significant FVGs, reducing noise and focusing on gaps formed during periods of higher relative volume. This combination of price structure analysis and volume confirmation provides traders with high-probability areas of interest that institutional smart money may target during future price movements.
🚀 Points of Innovation
Volume-Filtered Gap Detection : Eliminates low-significance FVGs by requiring a minimum volume threshold, focusing only on gaps formed with institutional participation
Equilibrium Line Visualization : Displays the midpoint of each gap as a potential precision target for trades
Automated Gap Mitigation Tracking : Monitors when price revisits and mitigates gaps, automatically managing visual elements
Time-Based Gap Management : Intelligently filters gaps based on a configurable timeframe, maintaining chart clarity
Dual Direction Analysis : Simultaneously tracks both bullish and bearish gaps, providing a complete market structure view
Memory-Optimized Design : Implements efficient memory management for smooth chart performance even with numerous FVGs
🔧 Core Components
Fair Value Gap Detection : Identifies price inefficiencies where the current candle’s low is higher than the previous candle’s high (bearish FVG) or where the current candle’s high is lower than the previous candle’s low (bullish FVG).
Volume Filtering Mechanism : Calculates relative volume compared to a moving average to qualify only gaps formed during significant market activity.
Mitigation Tracking : Continuously monitors price action to detect when gaps get filled, with options to either hide or maintain visual representation of mitigated gaps.
🔥 Key Features
Customizable Gap Display : Toggle visibility of bullish and bearish gaps independently to focus on your preferred market direction
Volume Threshold Control : Adjust the minimum volume ratio required for gap qualification, allowing fine-tuning between sensitivity and significance
Flexible Mitigation Methods : Choose between “Wick” or “Close” methods for determining when a gap has been mitigated, adapting to different trading styles
Visual Customization : Full control over colors, transparency, and style of gap boxes and equilibrium lines
🎨 Visualization
Gap Boxes : Rectangular highlights showing the exact price range of each Fair Value Gap. Bullish gaps indicate potential upward price targets, while bearish gaps show potential downward targets.
Equilibrium Lines : Dotted lines running through the center of each gap, representing the mathematical midpoint that often serves as a precision target for price movement.
📖 Usage Guidelines
General Settings
Days to Analyze : Default: 15, Range: 1-100. Controls how many days of historical gaps to display, balancing between comprehensive analysis and chart clarity
Visual Settings
Bull Color : Default:(#596fd33f). Color for bullish Fair Value Gaps, typically using high transparency for clear chart visibility
Bear Color : Default:(#d3454575). Color for bearish Fair Value Gaps, typically using high transparency for clear chart visibility
Equilibrium Line : Default: Enabled. Toggles visibility of the center equilibrium line for each FVG
Eq. Line Color : Default: Black with 99% transparency. Sets the color of equilibrium lines, usually kept subtle to avoid chart clutter
Eq. Line Style : Default: Dotted, Options: Dotted, Solid, Dashed. Determines the line style for equilibrium lines
Mitigation Settings
Mitigation Method : Default: Wick, Options: Wick, Close. Determines how gap mitigation is calculated - “Wick” uses high/low values while “Close” uses open/close values for more conservative mitigation criteria
Hide Mitigated : Default: Enabled. When enabled, gaps become transparent once mitigated, reducing visual clutter while maintaining historical context
Volume Filter
Volume Filter : Default: Enabled. When enabled, only shows gaps formed with significant volume relative to recent average
Min Ratio : Default: 1.5, Range: 0.1-10.0. Minimum volume ratio compared to average required to display an FVG; higher values filter out more gaps
Periods : Default: 15, Range: 5-50. Number of periods used to calculate the average volume baseline
✅ Best Use Cases
Identifying potential reversal zones where price may react after extended moves
Finding precise targets for take-profit placement in trend-following strategies
Detecting institutional interest areas for potential breakout or breakdown confirmations
Plotting significant support and resistance zones based on structural imbalances
Developing fade strategies at key market structure points
Confirming trade entries when price approaches significant unfilled gaps
⚠️ Limitations
Works best on higher timeframes where gaps reflect more significant market inefficiencies
Very choppy or ranging markets may produce small gaps with limited predictive value
Volume filtering depends on accurate volume data, which may be less reliable for some symbols
Performance may be affected when displaying a very large number of historical gaps
Some gaps may never be fully mitigated, particularly in strongly trending markets
💡 What Makes This Unique
Volume Intelligence : Unlike basic FVG indicators, this script incorporates volume analysis to identify the most significant structural imbalances, focusing on quality over quantity.
Visual Clarity Management : Automatic handling of mitigated gaps and memory management ensures your chart remains clean and informative even over extended analysis periods.
Dual-Direction Comprehensive Analysis : Simultaneously tracks both bullish and bearish gaps, providing a complete market structure picture rather than forcing a directional bias.
🔬 How It Works
1. Gap Detection Process :
The indicator examines each candle in relation to previous candles, identifying when a gap forms between the low of candle and high of candle (bearish FVG) or between the high of candle and low of candle (bullish FVG). This specific candle relationship identifies true structural imbalances.
2. Volume Qualification :
For each potential gap, the algorithm calculates the relative volume compared to the configured period average. Only gaps formed with volume exceeding the minimum ratio threshold are displayed, ensuring focus on institutionally significant imbalances.
3. Equilibrium Calculation :
For each qualified gap, the script calculates the precise mathematical midpoint, which becomes the equilibrium line - a key target that price often gravitates toward during mitigation attempts.
4. Mitigation Tracking :
The indicator continuously monitors price action against existing gaps, determining mitigation based on the selected method (wick or close). When price reaches the equilibrium point, the gap is considered mitigated and can be visually updated accordingly.
💡 Note:
Fair Value Gaps represent market inefficiencies that often, but not always, get filled. Use this indicator as part of a complete trading strategy rather than as a standalone system. The most valuable signals typically come from combining FVG analysis with other confirmatory indicators and overall market context. For optimal results, start with the default settings and gradually adjust parameters to match your specific trading timeframe and style.
Intraday Volume Indicator for INDICES by TBTPH Pine Script code for an intraday volume indicator with session and lunch break highlights looks great! Here’s a summary of what each part of the script does:
Indicator Settings:
The indicator is set to show on a separate pane (overlay=false).
The SMA Length is adjustable with an input box (default of 20).
Volume and SMA Calculation:
You calculate the Simple Moving Average (SMA) of the volume over the selected length.
The volume color is determined based on whether the close price is higher or lower than the previous close and if the volume is above or below the SMA.
Volume Plot:
Volume is plotted as a histogram with different colors to indicate if the volume is higher or lower than the SMA.
You plot the SMA of the volume with an orange line for easier comparison.
Background Color:
You set a light gray background color to give a subtle contrast.
NYSE and LSE trading sessions are highlighted with green and blue, respectively.
Lunch break periods are highlighted with a white background for both exchanges.
Here are a couple of improvements or suggestions you might consider:
Session Time Overlap Handling:
If the script is applied to a chart where both NYSE and LSE data is visible, they may overlap depending on the time zone of your chart. Ensure the session times align with the active market's timezone, especially if you are using a chart with a different timezone setting.
Color Customization:
The color scheme for bullish/bearish volume could be enhanced further. For example, you could introduce more transparency for low-volume periods to make the histogram appear more subtle during less active trading times.
Handling Different Time Zones:
If your chart is not in the "America/New_York" or "GMT" time zone, be mindful of the session times. The timestamp function depends on the chart’s time zone, so ensuring you're adjusting for different markets is key.
Volume Pro Indicator## Volume Pro Indicator
A powerful volume indicator that visualizes volume distribution across different price levels. This tool helps you easily identify where trading activity concentrates within the price range.
### Key Features:
- **Volume visualization by price levels**: Green (lower zone), Magenta (middle zone), Cyan (upper zone)
- **VPOC (Volume Point of Control)**: Shows the price level with the highest volume concentration
- **High and Low lines**: Highlights the extreme levels of the analyzed price range
- **Customizable historical analysis**: Configurable number of days for calculation
### How to use it:
- Colored volumes show where trading activity concentrates within the price range
- The VPOC helps identify the most significant price levels
- Different colors allow you to quickly visualize volume distribution in different price areas
Customizable with numerous options, including analysis period, calculation resolution, colors, and visibility of different components.
### Note:
This indicator works best on higher timeframes (1H, 4H, 1D) and liquid markets. It's a visual analysis tool that enhances your understanding of market structure.
#volume #vpoc #distribution #volumeprofile #trading #analysis #indicator #professional #pricelevels #volumedistribution
Low Liquidity Zones [PhenLabs]📊 Low Liquidity Zones
Version: PineScript™ v6
📌 Description
Low Liquidity Zones identifies and highlights periods of unusually low trading volume on your chart, marking areas where price movement occurred with minimal participation. These zones often represent potential support and resistance levels that may be more susceptible to price breakouts or reversals when revisited with higher volume.
Unlike traditional volume analysis tools that focus on high volume spikes, this indicator specializes in detecting low liquidity areas where price moved with minimal resistance. Each zone displays its volume delta, providing insight into buying vs. selling pressure during these thin liquidity periods. This combination of low volume detection and delta analysis helps traders identify potential price inefficiencies and weak structures in the market.
🚀 Points of Innovation
• Identifies low liquidity zones that most volume indicators overlook but which often become significant technical levels
• Displays volume delta within each zone, showing net buying/selling pressure during low liquidity periods
• Dynamically adjusts to different timeframes, allowing analysis across multiple time horizons
• Filters zones by maximum size percentage to focus only on precise price levels
• Maintains historical zones until they expire based on your lookback settings, creating a cumulative map of potential support/resistance areas
🔧 Core Components
• Low Volume Detection: Identifies candles where volume falls below a specified threshold relative to recent average volume, highlighting potential liquidity gaps.
• Volume Delta Analysis: Calculates and displays the net buying/selling pressure within each low liquidity zone, providing insight into the directional bias during low participation periods.
• Dynamic Timeframe Adjustment: Automatically scales analysis periods to match your selected timeframe preference, ensuring consistent identification of low liquidity zones regardless of chart settings.
• Zone Management System: Creates, tracks, and expires low liquidity zones based on your configured settings, maintaining visual clarity on the chart.
🔥 Key Features
• Low Volume Identification: Automatically detects and highlights candles where volume falls below your specified threshold compared to the moving average.
• Volume Delta Visualization: Shows the net volume delta within each zone, providing insight into whether buyers or sellers were dominant despite the low overall volume.
• Flexible Timeframe Analysis: Analyze low liquidity zones across multiple predefined timeframes or use a custom lookback period specific to your trading style.
• Zone Size Filtering: Filters out excessively large zones to focus only on precise price levels, improving signal quality.
• Automatic Zone Expiration: Older zones are automatically removed after your specified lookback period to maintain a clean, relevant chart display.
🎨 Visualization
• Volume Delta Labels: Each zone displays its volume delta with “+” or “-” prefix and K/M suffix for easy interpretation, showing the strength and direction of pressure during the low volume period.
• Persistent Historical Mapping: Zones remain visible for your specified lookback period, creating a cumulative map of potential support and resistance levels forming under low liquidity conditions.
📖 Usage Guidelines
Analysis Timeframe
Default: 1D
Range/Options: 15M, 1HR, 3HR, 4HR, 8HR, 16HR, 1D, 3D, 5D, 1W, Custom
Description: Determines the historical period to analyze for low liquidity zones. Shorter timeframes provide more recent data while longer timeframes offer a more comprehensive view of significant zones. Use Custom option with the setting below for precise control.
Custom Period (Bars)
Default: 1000
Range: 1+
Description: Number of bars to analyze when using Custom timeframe option. Higher values show more historical zones but may impact performance.
Volume Analysis
Volume Threshold Divisor
Default: 0.5
Range: 0.1-1.0
Description: Maximum volume relative to average to identify low volume zones. Example: 0.5 means volume must be below 50% of the average to qualify as low volume. Lower values create more selective zones while higher values identify more zones.
Volume MA Length
Default: 15
Range: 1+
Description: Period length for volume moving average calculation. Shorter periods make the indicator more responsive to recent volume changes, while longer periods provide a more stable baseline.
Zone Settings
Zone Fill Color
Default: #2196F3 (80% transparency)
Description: Color and transparency of the low liquidity zones. Choose colors that stand out against your chart background without obscuring price action.
Maximum Zone Size %
Default: 0.5
Range: 0.1+
Description: Maximum allowed height of a zone as percentage of price. Larger zones are filtered out. Lower values create more precise zones focusing on tight price ranges.
Display Options
Show Volume Delta
Default: true
Description: Toggles the display of volume delta within each zone. Enabling this provides additional insight into buying vs. selling pressure during low volume periods.
Delta Text Position
Default: Right
Options: Left, Center, Right
Description: Controls the horizontal alignment of the delta text within zones. Adjust based on your chart layout for optimal readability.
✅ Best Use Cases
• Identifying potential support and resistance levels that formed during periods of thin liquidity
• Spotting price inefficiencies where larger players may have moved price with minimal volume
• Finding low-volume consolidation areas that may serve as breakout or reversal zones when revisited
• Locating potential stop-hunting zones where price moved on minimal participation
• Complementing traditional support/resistance analysis with volume context
⚠️ Limitations
• Requires volume data to function; will not work on symbols where the data provider doesn’t supply volume information
• Low volume zones don’t guarantee future support/resistance - they simply highlight potential areas of interest
• Works best on liquid instruments where volume data has meaningful fluctuations
• Historical analysis is limited by the maximum allowed box count (500) in TradingView
• Volume delta in some markets may not perfectly reflect buying vs. selling pressure due to data limitations
💡 What Makes This Unique
• Focus on Low Volume: Unlike some indicators that highlight high volume events particularly like our very own TLZ indicator, this tool specifically identifies potentially significant price zones that formed with minimal participation.
• Delta + Low Volume Integration: Combines volume delta analysis with low volume detection to reveal directional bias during thin liquidity periods.
• Flexible Lookback System: The dynamic timeframe system allows analysis across any timeframe while maintaining consistent zone identification criteria.
• Support/Resistance Zone Generation: Automatically builds a visual map of potential technical levels based on volume behavior rather than just price patterns.
🔬 How It Works
1. Volume Baseline Calculation:
The indicator calculates a moving average of volume over your specified period to establish a baseline for normal market participation. This adaptive baseline accounts for natural volume fluctuations across different market conditions.
2. Low Volume Detection:
Each candle’s volume is compared to the moving average and flagged when it falls below your threshold divisor. The indicator also filters zones by maximum size to ensure only precise price levels are highlighted.
3. Volume Delta Integration:
For each identified low volume candle, the indicator retrieves the volume delta from a lower timeframe. This delta value is formatted with appropriate scaling (K/M) and displayed within the zone.
4. Zone Management:
New zones are created and tracked in a dynamic array, with each zone extending rightward until it expires. The system automatically removes expired zones based on your lookback period to maintain a clean chart.
💡 Note:
Low liquidity zones often represent areas where price moved with minimal participation, which can indicate potential market inefficiencies. These zones frequently become important support/resistance levels when revisited, especially if approached with higher volume. Consider using this indicator alongside traditional technical analysis tools for comprehensive market context. For best results, experiment with different volume threshold settings based on the specific instrument’s typical volume patterns.
Volume Profile & Smart Money Explorer🔍 Volume Profile & Smart Money Explorer: Decode Institutional Footprints
Master the art of institutional trading with this sophisticated volume analysis tool. Track smart money movements, identify peak liquidity windows, and align your trades with major market participants.
🌟 Key Features:
📊 Triple-Layer Volume Analysis
• Total Volume Patterns
• Directional Volume Split (Up/Down)
• Institutional Flow Detection
• Real-time Smart Money Tracking
• Historical Pattern Recognition
⚡ Smart Money Detection
• Institutional Trade Identification
• Large Block Order Tracking
• Smart Money Concentration Periods
• Whale Activity Alerts
• Volume Threshold Analysis
📈 Advanced Profiling
• Hourly Volume Distribution
• Directional Bias Analysis
• Liquidity Heat Maps
• Volume Pattern Recognition
• Custom Threshold Settings
🎯 Strategic Applications:
Institutional Trading:
• Track Big Player Movements
• Identify Accumulation/Distribution
• Follow Smart Money Flow
• Detect Institutional Trading Windows
• Monitor Block Orders
Risk Management:
• Identify High Liquidity Windows
• Avoid Thin Market Periods
• Optimize Position Sizing
• Track Market Participation
• Monitor Volume Quality
Market Analysis:
• Volume Pattern Recognition
• Smart Money Flow Analysis
• Liquidity Window Identification
• Institutional Activity Cycles
• Market Depth Analysis
💡 Perfect For:
• Professional Traders
• Volume Profile Traders
• Institutional Traders
• Risk Managers
• Algorithmic Traders
• Smart Money Followers
• Day Traders
• Swing Traders
📊 Key Metrics:
• Normalized Volume Profiles
• Institutional Thresholds
• Directional Volume Split
• Smart Money Concentration
• Historical Patterns
• Real-time Analysis
⚡ Trading Edge:
• Trade with Institution Flow
• Identify Optimal Entry Points
• Recognize Distribution Patterns
• Follow Smart Money Positioning
• Avoid Thin Markets
• Capitalize on Peak Liquidity
🎓 Educational Value:
• Understand Market Structure
• Learn Volume Analysis
• Master Institutional Patterns
• Develop Market Intuition
• Track Smart Money Flow
🛠️ Customization:
• Adjustable Time Windows
• Flexible Volume Thresholds
• Multiple Timeframe Analysis
• Custom Alert Settings
• Visual Preference Options
Whether you're tracking institutional flows in crypto markets or following smart money in traditional markets, the Volume Profile & Smart Money Explorer provides the deep insights needed to trade alongside the biggest players.
Transform your trading from retail guesswork to institutional precision. Know exactly when and where smart money moves, and position yourself ahead of major market shifts.
#VolumeProfile #SmartMoney #InstitutionalTrading #MarketAnalysis #TradingView #VolumeAnalysis #CryptoTrading #ForexTrading #TechnicalAnalysis #Trading #PriceAction #MarketStructure #OrderFlow #Liquidity #RiskManagement #TradingStrategy #DayTrading #SwingTrading #AlgoTrading #QuantitativeTrading
Volume Order Blocks [BigBeluga]Volume Order Blocks is a powerful indicator that identifies significant order blocks based on price structure, helping traders spot key supply and demand zones. The tool leverages EMA crossovers to determine the formation of bullish and bearish order blocks while visualizing their associated volume and relative strength.
🔵 Key Features:
Order Block Detection via EMA Crossovers:
Plots bullish order blocks at recent lows when the short EMA crosses above the long EMA.
Plots bearish order blocks at recent highs when the short EMA crosses below the long EMA.
Uses customizable sensitivity through the “Sensitivity Detection” setting to fine-tune block formation.
Volume Collection and Visualization:
Calculates the total volume between the EMA crossover bar and the corresponding high (bearish OB) or low (bullish OB).
Displays the absolute volume amount next to each order block for clear volume insights.
Percentage Volume Distribution:
Shows the percentage distribution of volume among bullish or bearish order blocks.
100% represents the cumulative volume of all OBs in the same category (bullish or bearish).
Order Block Removal Conditions:
Bullish order blocks are removed when the price closes below the bottom of the block.
Bearish order blocks are removed when the price closes above the top of the block.
Helps maintain chart clarity by only displaying relevant and active levels.
Midline Feature:
Dashed midline inside each order block indicates the midpoint between the upper and lower boundaries.
Traders can toggle the midline on or off through the settings.
Shadow Trend:
Shadow Trend dynamically visualizes trend strength and direction by adapting its color intensity based on price movement.
🔵 Usage:
Supply & Demand Zones: Use bullish and bearish order blocks to identify key market reversal or continuation points.
Volume Strength Analysis: Compare volume percentages to gauge which order blocks hold stronger market significance.
Breakout Confirmation: Monitor block removal conditions for potential breakout signals beyond support or resistance zones.
Trend Reversals: Combine EMA crossovers with order block formation for early trend reversal detection.
Risk Management: Use OB boundaries as potential stop-loss or entry points.
Volume Order Blocks is an essential tool for traders seeking to incorporate volume-based supply and demand analysis into their trading strategy. By combining price action, volume data, and EMA crossovers, it offers a comprehensive view of market structure and potential turning points.
mrD Open InterestIntroduction
"mrD Open Interest" is a technical analysis reference tool that can help investors monitor and analyze Open Interest data from various cryptocurrency exchanges. This indicator provides insights into Open Interest data through patterns, bursts, and money flow based on proprietary algorithms.
Important Note
Trading always involves risk and can lead to capital loss. This indicator should only be used as a supplementary tool in technical analysis and should not be considered as an accurate forecasting tool or the sole basis for trading decisions. Past results do not guarantee future results.
Proprietary Features of the Indicator
"mrD Open Interest" has been developed with several proprietary features, qualifying it for source code protection when published:
- Unique Multi-Source Integration Algorithm: The indicator uses a smart aggregation method to combine OI data from multiple exchanges, creating a holistic view of market pressure that is not dependent on a single exchange. This method employs special weighting and noise filtering to ensure the aggregated data accurately reflects market conditions.
- Proprietary OI-Price Correlation Analysis Algorithm: Unlike traditional OI indicators that simply display OI values, this indicator uses a complex algorithm to analyze the correlation between price movements and OI changes. This algorithm automatically identifies four money flow patterns (Buy Inflow, Sell Inflow, Buy Outflow, Sell Outflow) and ranks them by potential market impact.
- Advanced Burst Detection Technology: The proprietary algorithm identifies "bursts" - sudden changes in OI that can lead to significant market volatility. This system relies not only on absolute change but also analyzes the rate of change, amplitude, and correlation with historical peaks/troughs to determine the significance of a burst.
- Integrated Smart Alert System: The indicator features a smart alert algorithm, only sending notifications when patterns with high statistical significance are detected, reducing "alert noise" and helping users focus on the most potential opportunities.
- Visual Representation Technology: The user interface design uses proprietary visual representation technology, allowing users to easily identify important patterns and signals through a special system of colors, icons, and display formats.
Features That May Assist
1. Reference Data from Multiple Exchanges: The indicator can collect Open Interest information from various exchanges (Binance, BitMEX, Kraken) and different currency pairs (USDT, USD, BUSD), potentially providing investors with more information about the market.
2.Money Flow Pattern Analysis: The indicator suggests 4 patterns that may help identify market conditions:
Buy Inflow: Potential opening of new long positions (price up, OI up)
Buy Outflow: Potential closing of long positions (price down, OI down)
Sell Inflow: Potential opening of new short positions (price down, OI up)
Sell Outflow: Potential closing of short positions (price up, OI down)
Burst Identification: The indicator attempts to detect "bursts" - notable changes in Open Interest that may signal changes in money flow. Bursts are divided into two types: Up Burst and Down Burst.
3. Price-OI Correlation Reference: The tool provides information about the relationship between price movement and OI changes, potentially helping to assess whether current price momentum is supported by new money flow.
4. Diverse Display Modes: The indicator offers 3 display modes (Columns, Candles, Columns, and Price Line) that may suit different analytical approaches.
Setup and Usage Guide
1. Basic Setup
Select Data Sources (Exchange Settings):
By default, the indicator uses data from Binance USDT Perpetual.
Depending on the coin pair and exchange you're interested in, you can enable/disable different data sources (Binance USD, BUSD, BitMEX USD, USDT, or Kraken).
Recommendation: For popular coins like BTC or ETH, consider combining data from 2-3 major exchanges for a more comprehensive view.
2. Display Customization (Visuals Settings):
OI Display Type: Choose a display type that suits your analysis style:
"Columns": Column format, making it easy to identify OI changes.
"Candles": Candle format, similar to price charts, helps identify candlestick patterns in OI.
"Columns and Price Line": Combines OI columns and price line, helping directly compare OI with price movements.
Show background: Enable to highlight burst periods with a colored background (recommended when using candle mode).
Show signals: Enable to display of burst indicators on the chart (recommended to keep enabled).
Text Color: Customize text color to match your chart background.
3. Alert Settings:
hoose alert types that suit your trading strategy:
"Inflows Only": Only alerts when new money flows into the market.
"Outflows Only": Only alerts when money flows out of the market.
"Bursts Only": Only alerts when there's a strong burst in OI.
"All": Alerts for all the above events.
Effective Usage
Trend Analysis Based on Money Flow Patterns:
Buy Inflow (Green): When the price increases along with OI, it may indicate new buying pressure. Can be considered as a supportive signal for an uptrend.
Sell Inflow (Red): When price decreases along with increasing OI, it may indicate new selling pressure. Can be considered as a supportive signal for a downtrend.
Buy Outflow (Teal): When price decreases but OI also decreases, it may indicate taking profit/cutting loss from long positions. Usually not strong selling pressure and may be ending soon.
Sell Outflow (Dark Red): When the price increases but OI decreases, it may indicate closing of short positions. Usually not strong buying pressure and may be ending soon.
Burst Analysis:
Up Burst: Strong and positive change in OI, most notable when occurring in a Buy Inflow pattern, may signal strong buying money flow into the market.
Down Burst: Strong and negative change in OI, most notable when occurring in a Sell Inflow pattern, may signal strong selling money flow into the market.
Bursts are often signals that deserve special attention and may indicate strong changes in market sentiment.
Using the Information Table:
Monitor "Aggregated OI" to capture the total amount of open contracts.
Pay attention to "OI Change (%)" to assess the degree of change compared to the previous candle.
"Relative OI" provides information about the relative level of OI compared to the average.
"Flow Type" indicates the current money flow pattern.
"Burst Status" displays the burst status if any.
Combining with Other Indicators:
Use in combination with trend indicators (MA, MACD) to confirm trends.
Combine with volume indicators for a more comprehensive view of market activity.
Reference additional momentum indicators to assess trend strength.
Customizing According to Timeframe:
Short timeframes (1m-15m): May show more noise signals.
Medium timeframes (30m-4h): Often provide a good balance between sensitivity and noise filtering.
Long timeframes (D-W): Suitable for monitoring long-term OI trends.
Volume Profile [ActiveQuants]The Volume Profile indicator visualizes the distribution of trading volume across price levels over a user-defined historical period. It identifies key liquidity zones, including the Point of Control (POC) (price level with the highest volume) and the Value Area (price range containing a specified percentage of total volume). This tool is ideal for traders analyzing support/resistance levels, market sentiment , and potential price reversals .
█ CORE METHODOLOGY
Vertical Price Rows: Divides the price range of the selected lookback period into equal-height rows.
Volume Aggregation: Accumulates bullish/bearish or total volume within each price row.
POC: The row with the highest total volume.
Value Area: Expands from the POC until cumulative volume meets the user-defined threshold (e.g., 70%).
Dynamic Visualization: Rows are plotted as horizontal boxes with widths proportional to their volume.
█ KEY FEATURES
- Customizable Lookback & Resolution
Adjust the historical period ( Lookback ) and granularity ( Number of Rows ) for precise analysis.
- Configurable Profile Width & Horizontal Offset
Control the relative horizontal length of the profile rows, and set the distance from the current bar to the POC row’s anchor.
Important: Do not set the horizontal offset too high. Indicators cannot be plotted more than 500 bars into the future.
- Value Area & POC Highlighting
Set the percentage of total volume required to form the Value Area , ensuring that key volume levels are clearly identified.
Value Area rows are colored distinctly, while the POC is marked with a bold line.
- Flexible Display Options
Show bullish/bearish volume splits or total volume.
Place the profile on the right or left of the chart.
- Gradient Coloring
Rows fade in color intensity based on their relative volume strength .
- Real-Time Adjustments
Modify horizontal offset, profile width, and appearance without reloading.
█ USAGE EXAMPLES
Example 1: Basic Volume Profile with Value Area
Settings:
Lookback: 500 bars
Number of Rows: 100
Value Area: 70%
Display Type: Up/Down
Placement: Right
Image Context:
The profile appears on the right side of the chart. The POC (orange line) marks the highest volume row. Value Area rows (green/red) extend above/below the POC, containing 70% of total volume.
Example 2: Total Volume with Gradient Colors
Settings:
Lookback: 800 bars
Number of Rows: 100
Profile Width: 60
Horizontal Offset: 20
Display Type: Total
Gradient Colors: Enabled
Image Context:
Rows display total volume in a single color with gradient transparency. Darker rows indicate higher volume concentration.
Example 3: Left-Aligned Profile with Narrow Value Area
Settings:
Lookback: 600 bars
Number of Rows: 100
Profile Width: 45
Horizontal Offset: 500
Value Area: 50%
Profile Placement: Left
Image Context:
The profile shifts to the left, with a tighter Value Area (50%).
█ USER INPUTS
Calculation Settings
Lookback: Historical bars analyzed (default: 500).
Number of Rows: Vertical resolution of the profile (default: 100).
Profile Width: Horizontal length of rows (default: 50).
Horizontal Offset: Distance from the current bar to the POC (default: 50).
Value Area (%): Cumulative volume threshold for the Value Area (default: 70%).
Volume Display: Toggle between Up/Down (bullish/bearish) or Total volume.
Profile Placement: Align profile to the Right or Left of the chart.
Appearance
Rows Border: Customize border width/color.
Gradient Colors: Enable fading color effects.
Value Area Colors: Set distinct colors for bullish and bearish Value Area rows.
POC Line: Adjust color, width, and visibility.
█ CONCLUSION
The Volume Profile indicator provides a dynamic, customizable view of market liquidity. By highlighting the POC and Value Area, traders can identify high-probability reversal zones, gauge market sentiment, and align entries/exits with key volume levels.
█ IMPORTANT NOTES
⚠ Lookback Period: Shorter lookbacks prioritize recent activity but may omit critical levels.
⚠ Horizontal Offset Limitation: Avoid excessively high offsets (e.g., close to ±300). TradingView restricts plotting indicators more than 500 bars into the future, which may truncate or hide the profile.
⚠ Risk Management: While the indicator highlights areas of concentrated volume, always use it in combination with other technical analysis tools and proper risk management techniques.
█ RISK DISCLAIMER
Trading involves substantial risk. The Volume Profile highlights historical liquidity but does not predict future price movements. Always use stop-loss orders and confirm signals with additional analysis. Past performance is not indicative of future results.
📊 Happy trading! 🚀
Volume Predictor [PhenLabs]📊 Volume Predictor
Version: PineScript™ v6
📌 Description
The Volume Predictor is an advanced technical indicator that leverages machine learning and statistical modeling techniques to forecast future trading volume. This innovative tool analyzes historical volume patterns to predict volume levels for upcoming bars, providing traders with valuable insights into potential market activity. By combining multiple prediction algorithms with pattern recognition techniques, the indicator delivers forward-looking volume projections that can enhance trading strategies and market analysis.
🚀 Points of Innovation:
Machine learning pattern recognition using Lorentzian distance metrics
Multi-algorithm prediction framework with algorithm selection
Ensemble learning approach combining multiple prediction methods
Real-time accuracy metrics with visual performance dashboard
Dynamic volume normalization for consistent scale representation
Forward-looking visualization with configurable prediction horizon
🔧 Core Components
Pattern Recognition Engine : Identifies similar historical volume patterns using Lorentzian distance metrics
Multi-Algorithm Framework : Offers five distinct prediction methods with configurable parameters
Volume Normalization : Converts raw volume to percentage scale for consistent analysis
Accuracy Tracking : Continuously evaluates prediction performance against actual outcomes
Advanced Visualization : Displays actual vs. predicted volume with configurable future bar projections
Interactive Dashboard : Shows real-time performance metrics and prediction accuracy
🔥 Key Features
The indicator provides comprehensive volume analysis through:
Multiple Prediction Methods : Choose from Lorentzian, KNN Pattern, Ensemble, EMA, or Linear Regression algorithms
Pattern Matching : Identifies similar historical volume patterns to project future volume
Adaptive Predictions : Generates volume forecasts for multiple bars into the future
Performance Tracking : Calculates and displays real-time prediction accuracy metrics
Normalized Scale : Presents volume as a percentage of historical maximums for consistent analysis
Customizable Visualization : Configure how predictions and actual volumes are displayed
Interactive Dashboard : View algorithm performance metrics in a customizable information panel
🎨 Visualization
Actual Volume Columns : Color-coded green/red bars showing current normalized volume
Prediction Columns : Semi-transparent blue columns representing predicted volume levels
Future Bar Projections : Forward-looking volume predictions with configurable transparency
Prediction Dots : Optional white dots highlighting future prediction points
Reference Lines : Visual guides showing the normalized volume scale
Performance Dashboard : Customizable panel displaying prediction method and accuracy metrics
📖 Usage Guidelines
History Lookback Period
Default: 20
Range: 5-100
This setting determines how many historical bars are analyzed for pattern matching. A longer period provides more historical data for pattern recognition but may reduce responsiveness to recent changes. A shorter period emphasizes recent market behavior but might miss longer-term patterns.
🧠 Prediction Method
Algorithm
Default: Lorentzian
Options: Lorentzian, KNN Pattern, Ensemble, EMA, Linear Regression
Selects the algorithm used for volume prediction:
Lorentzian: Uses Lorentzian distance metrics for pattern recognition, offering excellent noise resistance
KNN Pattern: Traditional K-Nearest Neighbors approach for historical pattern matching
Ensemble: Combines multiple methods with weighted averaging for robust predictions
EMA: Simple exponential moving average projection for trend-following predictions
Linear Regression: Projects future values based on linear trend analysis
Pattern Length
Default: 5
Range: 3-10
Defines the number of bars in each pattern for machine learning methods. Shorter patterns increase sensitivity to recent changes, while longer patterns may identify more complex structures but require more historical data.
Neighbors Count
Default: 3
Range: 1-5
Sets the K value (number of nearest neighbors) used in KNN and Lorentzian methods. Higher values produce smoother predictions by averaging more historical patterns, while lower values may capture more specific patterns but could be more susceptible to noise.
Prediction Horizon
Default: 5
Range: 1-10
Determines how many future bars to predict. Longer horizons provide more forward-looking information but typically decrease accuracy as the prediction window extends.
📊 Display Settings
Display Mode
Default: Overlay
Options: Overlay, Prediction Only
Controls how volume information is displayed:
Overlay: Shows both actual volume and predictions on the same chart
Prediction Only: Displays only the predictions without actual volume
Show Prediction Dots
Default: false
When enabled, adds white dots to future predictions for improved visibility and clarity.
Future Bar Transparency (%)
Default: 70
Range: 0-90
Controls the transparency of future prediction bars. Higher values make future bars more transparent, while lower values make them more visible.
📱 Dashboard Settings
Show Dashboard
Default: true
Toggles display of the prediction accuracy dashboard. When enabled, shows real-time accuracy metrics.
Dashboard Location
Default: Bottom Right
Options: Top Left, Top Right, Bottom Left, Bottom Right
Determines where the dashboard appears on the chart.
Dashboard Text Size
Default: Normal
Options: Small, Normal, Large
Controls the size of text in the dashboard for various display sizes.
Dashboard Style
Default: Solid
Options: Solid, Transparent
Sets the visual style of the dashboard background.
Understanding Accuracy Metrics
The dashboard provides key performance metrics to evaluate prediction quality:
Average Error
Shows the average difference between predicted and actual values
Positive values indicate the prediction tends to be higher than actual volume
Negative values indicate the prediction tends to be lower than actual volume
Values closer to zero indicate better prediction accuracy
Accuracy Percentage
A measure of how close predictions are to actual outcomes
Higher percentages (>70%) indicate excellent prediction quality
Moderate percentages (50-70%) indicate acceptable predictions
Lower percentages (<50%) suggest weaker prediction reliability
The accuracy metrics are color-coded for quick assessment:
Green: Strong prediction performance
Orange: Moderate prediction performance
Red: Weaker prediction performance
✅ Best Use Cases
Anticipate upcoming volume spikes or drops
Identify potential volume divergences from price action
Plan entries and exits around expected volume changes
Filter trading signals based on predicted volume support
Optimize position sizing by forecasting market participation
Prepare for potential volatility changes signaled by volume predictions
Enhance technical pattern analysis with volume projection context
⚠️ Limitations
Volume predictions become less accurate over longer time horizons
Performance varies based on market conditions and asset characteristics
Works best on liquid assets with consistent volume patterns
Requires sufficient historical data for pattern recognition
Sudden market events can disrupt prediction accuracy
Volume spikes may be muted in predictions due to normalization
💡 What Makes This Unique
Machine Learning Approach : Applies Lorentzian distance metrics for robust pattern matching
Algorithm Selection : Offers multiple prediction methods to suit different market conditions
Real-time Accuracy Tracking : Provides continuous feedback on prediction performance
Forward Projection : Visualizes multiple future bars with configurable display options
Normalized Scale : Presents volume as a percentage of maximum volume for consistent analysis
Interactive Dashboard : Displays key metrics with customizable appearance and placement
🔬 How It Works
The Volume Predictor processes market data through five main steps:
1. Volume Normalization:
Converts raw volume to percentage of maximum volume in lookback period
Creates consistent scale representation across different timeframes and assets
Stores historical normalized volumes for pattern analysis
2. Pattern Detection:
Identifies similar volume patterns in historical data
Uses Lorentzian distance metrics for robust similarity measurement
Determines strength of pattern match for prediction weighting
3. Algorithm Processing:
Applies selected prediction algorithm to historical patterns
For KNN/Lorentzian: Finds K nearest neighbors and calculates weighted prediction
For Ensemble: Combines multiple methods with optimized weighting
For EMA/Linear Regression: Projects trends based on statistical models
4. Accuracy Calculation:
Compares previous predictions to actual outcomes
Calculates average error and prediction accuracy
Updates performance metrics in real-time
5. Visualization:
Displays normalized actual volume with color-coding
Shows current and future volume predictions
Presents performance metrics through interactive dashboard
💡 Note:
The Volume Predictor performs optimally on liquid assets with established volume patterns. It’s most effective when used in conjunction with price action analysis and other technical indicators. The multi-algorithm approach allows adaptation to different market conditions by switching prediction methods. Pay special attention to the accuracy metrics when evaluating prediction reliability, as sudden market changes can temporarily reduce prediction quality. The normalized percentage scale makes the indicator consistent across different assets and timeframes, providing a standardized approach to volume analysis.
Whale Activity Tracker Enhanced"Whale Activity Tracker Enhanced: Multi-Timeframe Adaptive Trading Signals"
Description:
The Whale Activity Tracker Enhanced (WAT+) is an innovative, multi-dimensional indicator designed to detect and visualize significant market moves likely driven by large players ("whales"). It combines volume analysis, price action, volatility, and momentum to provide traders with a comprehensive view of potential high-impact market events.
Key Features:
1. Adaptive Volume Spike Detection: Dynamically adjusts to market conditions, identifying unusual volume surges relative to recent activity.
2. Multi-Factor Confirmation: Combines volume spikes with price movements, RSI levels, and volatility measures for higher-probability signals.
3. Liquidity Grab Detection: Identifies potential stop-loss raids and liquidity sweeps through wick-to-body ratio analysis.
4. Customizable Signal Strength: Provides a visual representation of signal intensity, allowing traders to focus on the most significant events.
5. Flexible Timeframe Usage: Optimized settings for both scalp and swing trading, making it versatile across different trading styles.
How It Works:
- Volume Spike Analysis: Compares current volume to a user-defined multiple of the average volume.
- Price Move Threshold: Flags significant percentage price changes to filter out minor fluctuations.
- RSI Integration: Uses RSI to identify potential overbought/oversold conditions coinciding with other signals.
- Volatility Measurement: Incorporates ATR to detect periods of increased market volatility.
- Wick Analysis: Detects potential liquidity grabs by analyzing the ratio of candle wicks to bodies.
Originality:
Unlike standard volume or price action indicators, WAT+ synthesizes multiple market factors to provide a holistic view of potential whale activity. Its adaptive nature and customizable parameters allow it to work across various market conditions and trading styles.
Usage Guide:
1. Scalp Trading Setup:
- Use shorter lookback periods (12-15 bars) and tighter RSI levels (75/25).
- Focus on quick, high-probability trades triggered by volume spikes and price moves.
- Utilize the signal strength indicator for entry confirmation.
2. Swing Trading Setup:
- Extend lookback periods (20-30 bars) and use standard RSI levels (70/30).
- Look for sustained signals over multiple candles for trend confirmation.
- Combine with broader market trend analysis for higher-probability setups.
3. General Tips:
- Use the info panel to analyze the components of each signal.
- Adjust volume and price thresholds based on the specific asset's volatility.
- Combine with support/resistance levels for optimal entry and exit points.
By providing a multi-faceted approach to market analysis, the Whale Activity Tracker Enhanced empowers traders to identify and capitalize on significant market moves across various timeframes and trading styles.
Swing Trading Settings:
General Settings
Lookback Period: 20 to 30 bars. This provides a smoother signal and better context for swing trading.
Volume Spike Multiplier: 2.5 to 3.0. Higher thresholds ensure only significant volume spikes are considered.
Price Move % Threshold: 2.0 to 3.0%. Larger price move thresholds align with swing trading objectives.
RSI Period: 14 to 21. Longer periods smooth out short-term fluctuations.
RSI Overbought/Oversold Levels: 70/30. These levels work well for identifying potential reversals in swing trading.
Signal Detection
Enable Volume Spike Signal: True
Enable Price Move Signal: True
Enable Volatility Signal: True (important for identifying strong trends)
Enable Liquidity Grab Signal: True
Visualization
Show Volume Threshold Line: True
Show Signal Strength: True
Show Info Panel: True (useful for detailed analysis of swing setups)
Colors
Bullish Color: Green
Bearish Color: Red
Liquidity Color: Purple
Additional Parameters
ATR Period: 14 to 20. This helps identify volatility and set stop-loss levels.
Wick-to-Body Ratio: 2.0 or higher. This ensures only significant liquidity grabs are flagged.
Signal Strength Smoothing: 3 to 5 bars for steadier signals.
Scalp Trading:
General Settings
Lookback Period: 12 to 15 bars. This allows for a balance between responsiveness and noise reduction.
Volume Spike Multiplier: 2.0 to 2.2. This setting helps detect significant volume spikes without overreacting to minor fluctuations.
Price Move % Threshold: 1.0 to 1.2%. This captures substantial price movements suitable for scalp trading.
RSI Period: 7 to 9. Shorter periods provide quicker signals, ideal for scalp trading.
RSI Overbought/Oversold Levels: 75/25. Tighter levels help identify potential reversals sooner.
Signal Detection
Enable Volume Spike Signal: True
Enable Price Move Signal: True
Enable Volatility Signal: False (optional, depends on market conditions)
Enable Liquidity Grab Signal: True
Visualization
Show Volume Threshold Line: True
Show Signal Strength: True
Show Info Panel: False (optional, for cleaner charts)
Colors
Bullish Color: Green
Bearish Color: Red
Liquidity Color: Purple
Additional Tips
ATR Period: Keep it around 14 for volatility assessment.
Wick-to-Body Ratio: Adjust to 1.8 or higher for clearer liquidity grabs.
Signal Strength Smoothing: Use 2 to 3 bars for a responsive yet stable signal.
PVSRA Volume Suite with Volume DeltaPVSRA Volume Suite with Volume Delta
🔹 Overview
This indicator is a Volume Suite that enhances PVSRA (Price, Volume, Support, Resistance Analysis) by incorporating Volume Delta and AI-driven predictive alerts. It is designed to help traders analyze volume pressure, market trends, and price movements with color-coded visualizations.
📌 Key Features
PVSRA Volume Color Coding – Highlights vector candles based on extreme volume/spread conditions.
Volume Delta Analysis – Tracks buying/selling pressure using up/down volume data.
AI-Powered Predictive Alerts – Identifies potential trend shifts based on volume and trend context.
Volatility-Adjusted Thresholds – Dynamically adapts volume conditions based on ATR (Average True Range).
Customizable MA & Symbol Overrides – Allows traders to tweak settings for personalized market insights.
Debug & Diagnostic Labels – Shows statistical z-scores, thresholds, and volume dynamics.
How It Works
PVSRA Color Coding – The script classifies candles into four categories based on volume and spread analysis:
🔴 Red Vector → Extreme bearish volume/spread
🟢 Green Vector → Extreme bullish volume/spread
🟣 Violet Vector → Above-average bearish volume
🔵 Blue Vector → Above-average bullish volume
Volume Delta Calculation – Uses lower timeframe volume analysis to estimate up/down volume differentials.
Trend & Predictive Alerts – Combines EMA crossovers with statistical volume analysis to detect potential trend shifts.
Volatility Adaptation – Adjusts volume thresholds based on ATR, making signals more reliable in changing market conditions.
Custom Symbol Override – Fetches PVSRA data from a different instrument, useful for index-based volume analysis.
Customizable Inputs
PVSRA Color Settings – Modify candle color schemes for better visual clarity.
Volume Delta Colors – Customize delta volume body, wick, and border colors.
AI Settings – Tune z-score thresholds, lookback periods, and enable predictive alerts.
Symbol Overrides – Analyze volume from a different market or asset.
Moving Average (MA) Settings – Display a volume-based moving average for trend confirmation.
Important Notes
Works best on intraday timeframes where volume data is reliable.
Lower timeframe volume delta estimates might not be precise for all assets.
No guarantees of accuracy – Use alongside other confluence tools for decision-making.
Credits & Open-Source Notice
This script is based on PVSRA methodologies and integrates Volume Delta analysis. Special thanks to Traders Reality and TradingView for their contributions to volume-based analysis.
Range Breakout Signals [AlgoAlpha]OVERVIEW
This script detects range-bound market conditions and breakout signals using a combination of volatility compression and volume imbalance analysis. It identifies zones where price consolidates within a defined range and highlights potential breakout points with visual markers. Traders can use this to spot market transitions from ranging to trending phases, aiding in decision-making for breakout strategies.
CONCEPTS
The script measures volatility by comparing the ratio of the simple moving average (SMA) of price movements to their median value. When volatility drops below a threshold, the script assumes a range-bound market. It then tracks the cumulative volume of buying and selling pressure to assess breakout strength. The approach is based on the idea that market consolidation often precedes strong moves, and volume distribution can provide clues on the breakout direction.
FEATURES
Range Detection : Uses a volatility filter to identify low-volatility zones and marks them on the chart with shaded boxes.
Volume Imbalance Analysis : Evaluates cumulative up and down volume over a confirmation period to assess directional bias.
Breakout Signals : When price exits a detected range, the script plots breakout markers. A ▲ symbol indicates a bullish breakout, and a ▼ symbol indicates a bearish breakout. Additional "+" markers indicate strong volume imbalance favoring the breakout direction.
Adaptive Timeframe Volume Analysis : The script dynamically adjusts its volume calculation based on the chart’s timeframe, ensuring reliable signal generation across different trading conditions.
Alerts : Notifies traders when a new range is detected or when a breakout occurs, allowing for automated monitoring.
USAGE
Traders can use this script to identify potential trade setups by entering positions when price breaks out of a detected range. For breakout confirmation, traders can look at volume imbalance cues—bullish breakouts with strong buying volume may indicate sustained moves, while weak volume breakouts may lead to false signals. This script is particularly useful for breakout traders, range traders seeking to fade breakouts, and those looking to automate trade alerts in volatile markets.
Volume Block Order AnalyzerCore Concept
The Volume Block Order Analyzer is a sophisticated Pine Script strategy designed to detect and analyze institutional money flow through large block trades. It identifies unusually high volume candles and evaluates their directional bias to provide clear visual signals of potential market movements.
How It Works: The Mathematical Model
1. Volume Anomaly Detection
The strategy first identifies "block trades" using a statistical approach:
```
avgVolume = ta.sma(volume, lookbackPeriod)
isHighVolume = volume > avgVolume * volumeThreshold
```
This means a candle must have volume exceeding the recent average by a user-defined multiplier (default 2.0x) to be considered a significant block trade.
2. Directional Impact Calculation
For each block trade identified, its price action determines direction:
- Bullish candle (close > open): Positive impact
- Bearish candle (close < open): Negative impact
The magnitude of impact is proportional to the volume size:
```
volumeWeight = volume / avgVolume // How many times larger than average
blockImpact = (isBullish ? 1.0 : -1.0) * (volumeWeight / 10)
```
This creates a normalized impact score typically ranging from -1.0 to 1.0, scaled by dividing by 10 to prevent excessive values.
3. Cumulative Impact with Time Decay
The key innovation is the cumulative impact calculation with decay:
```
cumulativeImpact := cumulativeImpact * impactDecay + blockImpact
```
This mathematical model has important properties:
- Recent block trades have stronger influence than older ones
- Impact gradually "fades" at rate determined by decay factor (default 0.95)
- Sustained directional pressure accumulates over time
- Opposing pressure gradually counteracts previous momentum
Trading Logic
Signal Generation
The strategy generates trading signals based on momentum shifts in institutional order flow:
1. Long Entry Signal: When cumulative impact crosses from negative to positive
```
if ta.crossover(cumulativeImpact, 0)
strategy.entry("Long", strategy.long)
```
*Logic: Institutional buying pressure has overcome selling pressure, indicating potential upward movement*
2. Short Entry Signal: When cumulative impact crosses from positive to negative
```
if ta.crossunder(cumulativeImpact, 0)
strategy.entry("Short", strategy.short)
```
*Logic: Institutional selling pressure has overcome buying pressure, indicating potential downward movement*
3. Exit Logic: Positions are closed when the cumulative impact moves against the position
```
if cumulativeImpact < 0
strategy.close("Long")
```
*Logic: The original signal is no longer valid as institutional flow has reversed*
Visual Interpretation System
The strategy employs multiple visualization techniques:
1. Color Gradient Bar System:
- Deep green: Strong buying pressure (impact > 0.5)
- Light green: Moderate buying pressure (0.1 < impact ≤ 0.5)
- Yellow-green: Mild buying pressure (0 < impact ≤ 0.1)
- Yellow: Neutral (impact = 0)
- Yellow-orange: Mild selling pressure (-0.1 < impact ≤ 0)
- Orange: Moderate selling pressure (-0.5 < impact ≤ -0.1)
- Red: Strong selling pressure (impact ≤ -0.5)
2. Dynamic Impact Line:
- Plots the cumulative impact as a line
- Line color shifts with impact value
- Line movement shows momentum and trend strength
3. Block Trade Labels:
- Marks significant block trades directly on the chart
- Shows direction and volume amount
- Helps identify key moments of institutional activity
4. Information Dashboard:
- Current impact value and signal direction
- Average volume benchmark
- Count of significant block trades
- Min/Max impact range
Benefits and Use Cases
This strategy provides several advantages:
1. Institutional Flow Detection: Identifies where large players are positioning themselves
2. Early Trend Identification: Often detects institutional accumulation/distribution before major price movements
3. Market Context Enhancement: Provides deeper insight than simple price action alone
4. Objective Decision Framework: Quantifies what might otherwise be subjective observations
5. Adaptive to Market Conditions: Works across different timeframes and instruments by using relative volume rather than absolute thresholds
Customization Options
The strategy allows users to fine-tune its behavior:
- Volume Threshold: How unusual a volume spike must be to qualify
- Lookback Period: How far back to measure average volume
- Impact Decay Factor: How quickly older trades lose influence
- Visual Settings: Labels and line width customization
This sophisticated yet intuitive strategy provides traders with a window into institutional activity, helping identify potential trend changes before they become obvious in price action alone.
VSA Volume + Fibonacci (Volunacci)Overview
This indicator combines Volume Spread Analysis (VSA) with Fibonacci levels to identify key price zones based on volume behavior. It helps traders determine potential support and resistance levels influenced by volume strength.
How It Works
Volume Calculation
The indicator calculates volume levels based on the selected timeframe.
It identifies high volume spikes and low volume dips, which are critical for detecting supply and demand shifts.
It uses a simple moving average (SMA) of volume to smooth fluctuations.
Fibonacci Levels Integration
When a high-volume event is detected, the indicator records the highest high and lowest low of that candle.
It then plots Fibonacci retracement and extension levels to highlight potential price reaction zones.
Negative Fibonacci levels are included to identify possible deep retracements.
Visual Features
The indicator adapts to both light and dark themes for better visibility.
Fibonacci lines are color-coded based on key retracement and extension levels.
A table displaying key Fibonacci levels and their corresponding prices is provided for quick reference.
Why Is This Indicator Useful?
It helps traders spot accumulation and distribution phases by analyzing volume at key price points.
The combination of VSA and Fibonacci allows traders to confirm trend strength and identify potential reversal points.
Works well for trend-following strategies, scalping, and breakout trading.
How to Use This Indicator?
Use it to confirm breakouts or reversals at Fibonacci levels when volume supports the move.
Watch for high-volume spikes near key Fibonacci zones—these can signal strong trend continuation or reversal.
Use the displayed Fibonacci table to quickly assess price reaction levels.
Credits
This script was inspired by the Hidden Gap’s VSA Volume indicator by HPotter and has been enhanced by integrating Fibonacci-based analysis.
Volume Weighted Sign ChangeThe VWSCI measures the relationship between price reversals and volume. Specifically, it calculates the proportion of total volume in a given window that occurs at bars where the price changes direction—i.e., where the price difference switches from positive to negative or vice versa, indicating a local maximum or minimum.
• Low VWSCI values (close to 0) suggest that little volume is associated with price reversals, which typically occurs in strong trending markets where price moves consistently in one direction with high volume, and pullbacks (if any) occur on low volume.
• High VWSCI values (closer to 100) indicate that a significant portion of the volume is tied to price turning points, which is characteristic of a ranging or choppy market with frequent reversals.
This approach combines price action (via sign changes in price differences) and volume, offering a novel twist on traditional momentum or volume-based indicators like RSI, OBV, or the Volume-Price Trend.
