Market Matrix ViewThis technical indicator is designed to provide traders with a quick and integrated view of market dynamics by combining several popular indicators into a single tool. It's not a magic bullet, but a practical aid for analyzing buying/selling pressure, trends, volume, and divergences, saving you time in the decision-making process. Built for flexibility, the indicator adapts to various trading styles (scalping, swing, or long-term) and offers customizable settings to suit your needs.
🟡 Multi-Timeframe Trends
➤ This section displays the trend direction (bullish, bearish, or neutral) across 15-minute, 1-hour, 4-hour, and Daily timeframes, providing multi-timeframe market context. Timeframes lower than the one currently selected will show "N/A."
➤It utilizes fast and slow Exponential Moving Averages (EMAs) for each timeframe:
15m: Fast EMA 42, Slow EMA 170
1h: Fast EMA 40, Slow EMA 100
4h: Fast EMA 36, Slow EMA 107
Daily: Fast EMA 20, Slow EMA 60
🟡 Smart Flow & RVOL
➤ This section displays "Buying Pressure" or "Selling Pressure" signals based on indicator confluence, alongside volume activity ("High Activity," "Normal Activity," or "Low Activity").
➤ Smart Flow combines Chaikin Money Flow (CMF) and Money Flow Index (MFI) to detect buying/selling pressure. CMF measures money flow based on price position within the high-low range, while MFI analyzes money flow considering typical price and volume. A signal is generated only when both indicators simultaneously increase/decrease beyond an adjustable threshold ("Buy/Sell Sensitivity") and volume exceeds a Simple Moving Average (SMA) scaled by the "Volume Multiplier."
➤ RVOL (Relative Volume) calculates relative volume separately for bullish and bearish candles, comparing recent volume (fast SMA) with a reference volume (slow SMA). Thresholds are adjusted based on the selected mode.
🟡 ADX & RSI
This section displays trend strength ("Strong," "Moderate," or "Weak"), its direction ("Bullish" or "Bearish"), and the RSI momentum status ("Overbought," "Oversold," "Buy/Sell Momentum," or "Neutral").
➤ ADX (Average Directional Index) measures trend strength (above 40 = "Strong," 20–40 = "Moderate," below 20 = "Weak"). Direction is determined by comparing +DI (upward movement) with -DI (downward movement). Additionally, an arrow indicates whether the trend's strength is decreasing or increasing.
➤RSI (Relative Strength Index) evaluates price momentum. Extreme levels (above 80/85 = "Overbought," below 15/20 = "Oversold") and intermediate zones (47–53 = "Neutral," above 53 = "Buy Momentum," below 47 = "Sell Momentum") are adjusted based on the selected mode.
🟡 When these signals are active for a potential trade setup, the table's background lights up green or red, respectively.
🟡 Volume Spikes
➤This feature highlights bars with significantly higher volume than the recent average, coloring them yellow on the chart to draw attention to intense market activity.
➤It uses the Z-Score method to detect volume anomalies. Current volume is compared to a 10-bar Simple Moving Average (SMA) and the standard deviation of volume over the same period. If the Z-Score exceeds a certain threshold, the bar is marked as a volume spike.
🟡 Divergences (Volume Divergence Detection)
➤ This feature marks divergences between price and technical indicators on the chart, using diamond-shaped labels (green for bullish divergences, red for bearish divergences) to signal potential trend reversals.
➤ It compares price deviations from a Simple Moving Average (SMA) with deviations of three indicators: Chaikin Money Flow (CMF), Money Flow Index (MFI), and On-Balance Volume (OBV). A bullish divergence occurs when price falls below its average, but CMF, MFI, and OBV rise above their averages, indicating hidden accumulation. A bearish divergence occurs when price rises above its average, but CMF, MFI, and OBV fall, suggesting distribution. The length of the moving averages is adjustable (default 13/10/5 bars for Scalping/Balanced/Swing), and detection thresholds are scaled by "Divergence Sensitivity" (default 1.0).
🟡 Adaptive Stop-Loss (ATR)
➤Draws dynamic stop-loss lines (red, dashed) on the chart for buy or sell signals, helping traders manage risk.Uses the Average True Range (ATR) to calculate stop-loss levels, set at low/high ± ATR × multiplier
🟡 Alerts for trend direction changes in the Info Panel:
➤ Triggers notifications when the trend shifts to Bullish (when +DI crosses above -DI) or Bearish (when +DI crosses below -DI), helping you stay informed about key market shifts.
How to use: Set alerts in Trading View for “Trend Changed to Bullish” or “Trend Changed to Bearish” with “Once Per Bar Close” for reliable signals.
🟡 Settings (Inputs)
➤ The indicator offers customizable settings to fit your trading style, but it's already optimized for Scalping (1m–15m), Balanced (16m–3h59m), and Swing (4h–Daily) modes, which automatically adjust based on the selected timeframe. The visible inputs allow you to adjust the following parameters:
Show Info Panel: Enables/disables the information panel (default: enabled).
Show Volume Spikes: Turns on/off coloring for volume spike bars (default: enabled).
Spike Sensitivity: Controls the Z-Score threshold for detecting volume spikes (default: 2.0; lower values increase signal frequency).
Show Divergence: Enables/disables the display of divergence labels (default: enabled).
Divergence Sensitivity: Adjusts the thresholds for divergence detection (default: 1.0; higher values reduce sensitivity).
Divergence Lookback Length: Sets the length of the moving averages used for divergences (default: 5, automatically adjusted to 13/10/5 for Scalping/Balanced/Swing).
RVOL Reference Period: Defines the reference period for relative volume (default: 20, automatically adjusted to 7/15/20).
RSI Length: Sets the RSI length (default: 14, automatically adjusted to 5/10/14).
Buy Sensitivity: Controls the increase threshold for Buying Pressure signals (default: 0.007; higher values reduce frequency).
Sell Sensitivity: Controls the decrease threshold for Selling Pressure signals (default: 0.007; higher values reduce frequency).
Volume Multiplier (B/S Pressure): Adjusts the volume threshold for Smart Flow signals (default: 0.6; higher values require greater volume).
🟡 This indicator is created to simplify market analysis, but I am not a professional in Pine Script or technical indicators. This indicator is not a standalone solution. For optimal results, it must be integrated into a well-defined trading strategy that includes risk management and other confirmations.
"relative volume" için komut dosyalarını ara
Lemon/Lime Volume Lookback IndicatorThe indicator focuses on analyzing volume patterns.
It calculates a relative volume metric by comparing the current volume to a short-term simple moving average of volume.
The code identifies volume spikes when the relative volume exceeds a user-defined threshold.
These volume spikes are visually represented on the chart as small circles:
Yellow circles appear above bars for bearish volume spikes (when price closed lower)
Green circles appear below bars for bullish volume spikes (when price closed higher)
Users can adjust settings such as the lookback period for volume comparison and the percentage increase that defines a volume spike. This would adjust the readings based on incoming volume. Adjust as needed during different market conditions.
This tool essentially helps traders identify and visualize significant increases in trading volume compared to recent average volume, which could potentially signal important price movements or trend changes.
1. [Pufferman] - Comprehensive VolumeThis indicator presents a comprehensive approach to volume analysis, incorporating several key metrics to provide traders with a detailed view of market activity. Here's what's included:
1. Cumulative Relative Volume (Intraday): This metric accumulates volume data throughout the day, comparing it to historical session averages up to the current time. It's particularly useful for intraday analysis to determine if the stock is trading high or low volume before the day is over.
2. Real Relative Volume - This feature calculates the relative volume of a stock in comparison to the SPY, offering insight into whether a stock is trading with higher relative volume than the broader market.
3. Configurable Moving Average for Volume: Users can adjust the moving average period for average volume, allowing for flexible adaptation to different trading strategies and time frames. (green line in photo)
4. Above/Below Average Line: This line indicates whether the current volume bar exceeds or falls short of the session's average volume, providing immediate context for volume analysis. (red line in photo).
5. Volume Display in Abbreviations: Actual volume figures are presented in an abbreviated format, using "K" for thousands and "M" for millions, facilitating quick and easy analysis.
6. Color-Coded Relative and Real Relative Volume: Both the Relative Volume (RVOL) and Real Relative Volume (RRVOL) are color-coded to instantly convey volume concentration levels, enhancing visual analysis across multiple charts.
7. Volume Bars with Bullish and Bearish Highlights: Traditional volume bars are color-highlighted according to corresponding candle patterns, aiding in the identification of market sentiment.
Key Points:
The RVOL is a cumulative metric, considering time-of-day volume comparisons for intraday analysis. This approach offers a nuanced understanding of volume patterns specific to the timeframe being viewed.
The RRVOL provides a comparative analysis against the market, offering insights into stock-specific volume activity relative to market trends.
Note: This indicator is designed for intraday analysis and may not function as intended on timeframes above daily due to the cumulative nature of its volume calculations.
Price Volume Harmony Indicator [Nasan]The indicator "Price Volume Harmony Indicator " (abbreviated as PVHI) combines relative volume intensity (RVI) and relative price change (PC) to identify potential synergy or divergence between price and volume movements. Let's break down the key components and discuss how to interpret the output:
Relative Volume Intensity (RVI):
It calculates the mean volume intensity using simple moving averages (SMA) of different periods (5, 8, 13, and 144).
It then computes point volume intensity based on the current volume compared to the previous bar's volume.
The final RVI is a combination of mean and point volume intensities.
Relative Price Change (PC):
It calculates the median absolute deviation (MAD) and the price change relative to MAD for three different lengths (5, 8, and 13).
The average relative PC is a weighted combination of the three PC values.
Normalization:
RVI and PC are normalized using Z-scores (standard scores) to bring them to the same scale. This enables easier comparison.
Histogram Plotting:
The RVI and PC are plotted as histograms below the main price chart. Green color bars represent RVI, and blue color bars indicate PC. The RVI bars are light green when the RVI values are decreasing compared to previous bar. Similarly, when PC bars are light blue it indicates that the PC values are decreasing compared to previous bars.
There is a zero line +/- 0.5 SD lines movements above and below the SD lines are practically
significant.
Interpretation :
(1) Strong Bullish Movement :
This is when both the green bars (RVI) and blue bars (PC) increases and are on the same side above zero .
(2) Strong Bearish Movement :
This is when the green bars (RVI) increases and blue bars (PC) decreases. The green bars above zero but blue bars below zero.
(3) Weak Bullish Movement :
This is when the green bars (RVI) decreases and are below zero but the blue bars (PC) increases and are above zero .
(2) Weak Bearish Movement :
This is when both the green bars (RVI) and blue bars (PC) decreases. The green bars and blue bars are below zero.
This output is slightly hard to read but with practice can be read easily.
Volume x Price in Crores + RVolScript is designed predominantly for Indian users. Many are used to looking at numbers in lakhs and crores vs millions and billions, this provides a volume figure in rupee crores.
Formula is last close_price x volume / 1 cr or (close_price x volume /10000000). The second figure is the simple moving average (default to 20sma ) again in rupee crores. The third is the relative volume - todays volume / 20 day moving average.
Helpful especially when putting on a trade for a thinly traded stock. It is a quick gauge to how large or small one would want to buy or avoid. Helps manage risk. Also, great to see large volumes in crores to gauge institutional buys or sells.
On 10/NOV/21 - In the chart displayed here, Titan volumes are on average quite substantial as one can see. The 20 day moving average is 550 CR+. 10/NOV volumes are shown as 226 CR and the RVOL is 0.41 (226/550).
True BarcolorHeikin Ashi can be useful for understanding trend based on price action but it doesn't take volume in context. Here I have tried to use volume for understanding true bar color and ultimately true trend analysis. It can also help you in not getting trapped in sudden shakeouts. Also, you can use it for averaging of your existing position.
Conditions used:
Relative closing price
Relative volume against previous bar and overall moving average of volume
Volume analysis
Trend analysis
Freedom of MovementFreedom of Movement Indicator
---------------------------------------------------------
In “Evidence-Based Support & Resistance” article, author Melvin Dickover introduces two new indicators to help traders note support and resistance areas by identifying supply and demand pools. Here you can find the support-resistance technical indicator called "Freedom of Movement".
The indicator takes into account price-volume behavior in order to detect points where movement of price is suddenly restricted, the possible supply and demand pools. These points are also marked by Defended Price Lines (DPLs).
DPLs are horizontal lines that run across the chart at levels defined by following conditions:
* Overlapping bars: If the indicator spike (i.e., indicator is above 2.0 or a custom value) corresponds to a price bar overlapping the previous one, the previous close can be used as the DPL value.
* Very large bars: If the indicator spike corresponds to a price bar of a large size, use its close price as the DPL value.
* Gapping bars: If the indicator spike corresponds to a price bar gapping from the previous bar, the DPL value will depend on the gap size. Small gaps can be ignored: the author suggests using the previous close as the DPL value. When the gap is big, the close of the latter bar is used instead.
* Clustering spikes: If the indicator spikes come in clusters, use the extreme close or open price of the bar corresponding to the last or next to last spike in cluster.
DPLs can be used as support and resistance levels. In order confirm and refine them, FoM (Freedom of Movement) is used along with the Relative Volume Indicator (RVI), which you can find here:
Clustering spikes provide the strongest DPLs while isolated spikes can be used to confirm and refine those provided by the RVI. Coincidence of spikes of the two indicator can be considered a sign of greater strength of the DPL.
More info:
S&C magazine, April 2014.
Smart Wick AnalyzerSmart Wick Analyzer (SWA)
Purpose: Highlight potential liquidity‑grab candles (long wicks) and turn them into actionable, rule‑based buy/sell signals with trend, volume, and cooldown filters.
Type: Indicator (not a strategy). Educational tool to contextualize wick events.
🧠 What This Script Does
SWA looks for candles where the wick is large relative to its body—a common signature of liquidity sweeps / rejection. It then adds three confirmations before marking a trade signal:
1. Wick Event
• Upper‑wick event (possible rejection from above)
• Lower‑wick event (possible rejection from below)
• Condition: wick length > body × Wick‑to‑Body Ratio
2. Context Filters
• Trend filter : closing price vs. SMA of lookbackBars
• Volume filter : current volume vs. average volume × volumeThreshold
3. Signal Hygiene
• Cooldown : prevents clustering; a minimum number of bars must pass before a new signal is allowed.
If a candle passes these checks:
• Buy Signal (triangle up): long lower wick + price above SMA + relative‑high volume + cooldown passed
• Sell Signal (triangle down): long upper wick + price below SMA + relative‑high volume + cooldown passed
The signal candle is also bar‑colored black for quick visual focus.
⸻
✳️ What the Dotted Lines Mean (including the green one)
On every signal bar the script draws two dotted horizontal levels, extended to the right:
• Open line of the signal candle
• Close line of the signal candle
• They use the signal color: green for Buy, red for Sell.
How to interpret (example: green = Buy signal):
• The green dotted close line represents the momentum validation level. If subsequent candles close above this line, it indicates follow‑through after the wick rejection (buyers defended into the close).
• The green dotted open line is a risk context / invalidation reference. If price falls back below it soon after the signal, the wick event may have failed or devolved into chop.
In your annotated chart: the candle initially looked constructive (“closing above could be positive momentum”), but later price failed and rotated down—hence a sell signal interpreted when an upper‑wick event occurred under down‑trend conditions.
⸻
⚙️ Inputs & What They Control
• Wick‑to‑Body Ratio (wickThreshold): how “extreme” a wick must be to count as a liquidity‑grab.
• Lookback Period (lookbackBars):
• SMA period for trend context
• Volume MA for relative‑volume check
• Volume Multiplier (volumeThreshold): strengthens/loosens volume confirmation.
• Cooldown Bars (cooldownBars): minimum spacing between consecutive signals.
• Enable Alerts (showAlerts): turns on alert conditions.
⸻
🔔 Alerts (exact titles)
• “SWA Buy Alert” — potential reversal / Buy signal detected
• “SWA Sell Alert” — potential reversal / Sell signal detected
⸻
📌 How to Use (practical guide)
1. Scan for the black‑colored signal candle and its dotted lines.
2. For Buy signals (green): Prefer continuation if price closes above the green close line within the next few bars. Manage risk using the open line or your own level.
3. For Sell signals (red): Prefer continuation if price closes below the red close line.
4. Avoid chasing during low‑volume / counter‑trend signals; the filters help, but structure (HTF trend, S/R, session context) still matters.
5. Use the cooldown to reduce noise on fast time frames.
⸻
✅ Why This Isn’t Just “Another Wick Indicator”
• The script does not flag every long‑wick; it requires trend alignment and relative volume to suggest participation.
• The two reference lines (open/close) provide post‑signal state tracking—a simple, visual framework to judge follow‑through vs. failure without additional tools.
• Cooldown logic discourages clustered, low‑quality repeats around the same zone.
⸻
⚠️ Notes & Limitations
• Works across markets/time frames, but wick behavior varies by instrument and session. Parameters may need adjustment.
• Signals are contextual, not guarantees. Consolidation and news spikes can invalidate wick reads.
• This indicator is not a strategy; it does not backtest performance on its own.
⸻
📄 Disclaimer
This tool is for educational purposes only and should be combined with personal analysis and risk management. Markets are uncertain; past behavior does not guarantee future results.
Lorentzian Classification - Advanced Trading DashboardLorentzian Classification - Relativistic Market Analysis
A Journey from Theory to Trading Reality
What began as fascination with Einstein's relativity and Lorentzian geometry has evolved into a practical trading tool that bridges theoretical physics and market dynamics. This indicator represents months of wrestling with complex mathematical concepts, debugging intricate algorithms, and transforming abstract theory into actionable trading signals.
The Theoretical Foundation
Lorentzian Distance in Market Space
Traditional Euclidean distance treats all feature differences equally, but markets don't behave uniformly. Lorentzian distance, borrowed from spacetime geometry, provides a more nuanced similarity measure:
d(x,y) = Σ ln(1 + |xi - yi|)
This logarithmic formulation naturally handles:
Scale invariance: Large price moves don't overwhelm small but significant patterns
Outlier robustness: Extreme values are dampened rather than dominating
Non-linear relationships: Captures market behavior better than linear metrics
K-Nearest Neighbors with Relativistic Weighting
The algorithm searches historical market states for patterns similar to current conditions. Each neighbor receives weight inversely proportional to its Lorentzian distance:
w = 1 / (1 + distance)
This creates a "gravitational" effect where closer patterns have stronger influence on predictions.
The Implementation Challenge
Creating meaningful market features required extensive experimentation:
Price Features: Multi-timeframe momentum (1, 2, 3, 5, 8 bar lookbacks) Volume Features: Relative volume analysis against 20-period average
Volatility Features: ATR and Bollinger Band width normalization Momentum Features: RSI deviation from neutral and MACD/price ratio
Each feature undergoes min-max normalization to ensure equal weighting in distance calculations.
The Prediction Mechanism
For each current market state:
Feature Vector Construction: 12-dimensional representation of market conditions
Historical Search: Scan lookback period for similar patterns using Lorentzian distance
Neighbor Selection: Identify K nearest historical matches
Outcome Analysis: Examine what happened N bars after each match
Weighted Prediction: Combine outcomes using distance-based weights
Confidence Calculation: Measure agreement between neighbors
Technical Hurdles Overcome
Array Management: Complex indexing to prevent look-ahead bias
Distance Calculations: Optimizing nested loops for performance
Memory Constraints: Balancing lookback depth with computational limits
Signal Filtering: Preventing clustering of identical signals
Advanced Dashboard System
Main Control Panel
The primary dashboard provides real-time market intelligence:
Signal Status: Current prediction with confidence percentage
Neighbor Analysis: How many historical patterns match current conditions
Market Regime: Trend strength, volatility, and volume analysis
Temporal Context: Real-time updates with timestamp
Performance Analytics
Comprehensive tracking system monitors:
Win Rate: Percentage of successful predictions
Signal Count: Total predictions generated
Streak Analysis: Current winning/losing sequence
Drawdown Monitoring: Maximum equity decline
Sharpe Approximation: Risk-adjusted performance estimate
Risk Assessment Panel
Multi-dimensional risk analysis:
RSI Positioning: Overbought/oversold conditions
ATR Percentage: Current volatility relative to price
Bollinger Position: Price location within volatility bands
MACD Alignment: Momentum confirmation
Confidence Heatmap
Visual representation of prediction reliability:
Historical Confidence: Last 10 periods of prediction certainty
Strength Analysis: Magnitude of prediction values over time
Pattern Recognition: Color-coded confidence levels for quick assessment
Input Parameters Deep Dive
Core Algorithm Settings
K Nearest Neighbors (1-20): More neighbors create smoother but less responsive signals. Optimal range 5-8 for most markets.
Historical Lookback (50-500): Deeper history improves pattern recognition but reduces adaptability. 100-200 bars optimal for most timeframes.
Feature Window (5-30): Longer windows capture more context but reduce sensitivity. Match to your trading timeframe.
Feature Selection
Price Changes: Essential for momentum and reversal detection Volume Profile: Critical for institutional activity recognition Volatility Measures: Key for regime change detection Momentum Indicators: Vital for trend confirmation
Signal Generation
Prediction Horizon (1-20): How far ahead to predict. Shorter horizons for scalping, longer for swing trading.
Signal Threshold (0.5-0.9): Confidence required for signal generation. Higher values reduce false signals but may miss opportunities.
Smoothing (1-10): EMA applied to raw predictions. More smoothing reduces noise but increases lag.
Visual Design Philosophy
Color Themes
Professional: Corporate blue/red for institutional environments Neon: Cyberpunk cyan/magenta for modern aesthetics
Matrix: Green/red hacker-inspired palette Classic: Traditional trading colors
Information Hierarchy
The dashboard system prioritizes information by importance:
Primary Signals: Largest, most prominent display
Confidence Metrics: Secondary but clearly visible
Supporting Data: Detailed but unobtrusive
Historical Context: Available but not distracting
Trading Applications
Signal Interpretation
Long Signals: Prediction > threshold with high confidence
Look for volume confirmation
- Check trend alignment
- Verify support levels
Short Signals: Prediction < -threshold with high confidence
Confirm with resistance levels
- Check for distribution patterns
- Verify momentum divergence
- Market Regime Adaptation
Trending Markets: Higher confidence in directional signals
Ranging Markets: Focus on reversal signals at extremes
Volatile Markets: Require higher confidence thresholds
Low Volume: Reduce position sizes, increase caution
Risk Management Integration
Confidence-Based Sizing: Larger positions for higher confidence signals
Regime-Aware Stops: Wider stops in volatile regimes
Multi-Timeframe Confirmation: Align signals across timeframes
Volume Confirmation: Require volume support for major signals
Originality and Innovation
This indicator represents genuine innovation in several areas:
Mathematical Approach
First application of Lorentzian geometry to market pattern recognition. Unlike Euclidean-based systems, this naturally handles market non-linearities.
Feature Engineering
Sophisticated multi-dimensional feature space combining price, volume, volatility, and momentum in normalized form.
Visualization System
Professional-grade dashboard system providing comprehensive market intelligence in intuitive format.
Performance Tracking
Real-time performance analytics typically found only in institutional trading systems.
Development Journey
Creating this indicator involved overcoming numerous technical challenges:
Mathematical Complexity: Translating theoretical concepts into practical code
Performance Optimization: Balancing accuracy with computational efficiency
User Interface Design: Making complex data accessible and actionable
Signal Quality: Filtering noise while maintaining responsiveness
The result is a tool that brings institutional-grade analytics to individual traders while maintaining the theoretical rigor of its mathematical foundation.
Best Practices
- Parameter Optimization
- Start with default settings and adjust based on:
Market Characteristics: Volatile vs. stable
Trading Timeframe: Scalping vs. swing trading
Risk Tolerance: Conservative vs. aggressive
Signal Confirmation
Never trade on Lorentzian signals alone:
Price Action: Confirm with support/resistance
Volume: Verify with volume analysis
Multiple Timeframes: Check higher timeframe alignment
Market Context: Consider overall market conditions
Risk Management
Position Sizing: Scale with confidence levels
Stop Losses: Adapt to market volatility
Profit Targets: Based on historical performance
Maximum Risk: Never exceed 2-3% per trade
Disclaimer
This indicator is for educational and research purposes only. It does not constitute financial advice or guarantee profitable trading results. The Lorentzian classification system reveals market patterns but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose.
Market dynamics are inherently uncertain, and past performance does not guarantee future results. This tool should be used as part of a comprehensive trading strategy, not as a standalone solution.
Bringing the elegance of relativistic geometry to market analysis through sophisticated pattern recognition and intuitive visualization.
Thank you for sharing the idea. You're more than a follower, you're a leader!
@vasanthgautham1221
Trade with precision. Trade with insight.
— Dskyz , for DAFE Trading Systems
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.
Alternative Price [OmegaTools]The Alternative Price script is a sophisticated and flexible indicator designed to redefine how traders visualize and interpret price data. By offering multiple unique charting modes, robust customization options, and advanced features, this tool provides a comprehensive alternative to traditional price charts. It is particularly useful for identifying market trends, detecting patterns, and simplifying complex data into actionable insights.
This script is highly versatile, allowing users to choose from five distinct charting modes: Candles, Line, Channel, Renko, and Bubbles. Each mode serves a unique purpose and presents price information in an innovative way. When using this script, it is strongly recommended to hide the platform’s default price candles or chart data. Doing so will eliminate redundancy and provide a clearer and more focused view of the alternative price visualization.
The Candles mode offers a traditional candlestick charting style but with added flexibility. Users can choose to enable smoothed opens or smoothed closes, which adjust the way the open and close prices are calculated. When smoothed opens are enabled, the opening price is computed as the average of the actual open price and the closing prices of the previous two bars. This creates a more gradual representation of price transitions, particularly useful in markets prone to sudden spikes or irregularities. Similarly, smoothed closes modify the closing price by averaging it with the previous close, the high-low midpoint, and an exponential moving average of the high-low-close mean. This technique filters out noise, making trends and price momentum easier to identify.
In the Line mode, the script displays a simple line chart that connects the smoothed closing prices. This mode is ideal for traders who prefer minimalism or need to focus on the overall trend without the distraction of individual bar details. The Channel mode builds upon this by plotting additional lines representing the highs and lows of each bar. The resulting visualization resembles a price corridor that helps identify support and resistance zones or price compression areas.
The Renko mode introduces a more advanced and noise-filtering method of visualizing price movements. Renko charts, constructed using the ATR (Average True Range) as a baseline, display blocks that represent a specific price range. The script dynamically calculates the size of these blocks based on ATR, with separate thresholds for upward and downward movements. This makes Renko mode particularly effective for identifying sustained trends while ignoring minor price fluctuations. Additionally, the open and close values of Renko blocks can be smoothed to further refine the visualization.
The Bubbles mode represents price activity using circles or bubbles whose size corresponds to relative volume. This mode provides a quick and intuitive way to assess market participation at different price levels. Larger bubbles indicate higher trading volumes, while smaller bubbles highlight periods of lower activity. This visualization is particularly valuable in understanding the relationship between price movements and market liquidity.
The coloring of candles and other chart elements is a core feature of this script. Users can select between two color modes: Normal and Volume. In Normal mode, bullish candles are displayed in the user-defined bullish color, while bearish candles use the bearish color. Neutral elements, such as midpoints or undecided price movements, are shaded with a neutral color. In Volume mode, the candle colors are dynamically adjusted based on trading volume. A gradient color scale is applied, where the intensity of the bullish or bearish colors reflects the volume for that particular bar. This feature allows traders to visually identify periods of heightened activity and associate them with specific price movements.
Engulfing patterns, a popular technical analysis tool, are automatically detected and marked on the chart when the corresponding setting is enabled. The script identifies long engulfing patterns, where the current bar's range completely encompasses the previous bar’s range and indicates a potential bullish reversal. Similarly, short engulfing patterns are identified where the current bar fully engulfs the previous bar in the opposite direction, suggesting a bearish reversal. These patterns are visually highlighted with circular markers to draw the trader’s attention.
Each feature and mode is highly customizable. The colors for bullish, bearish, and neutral movements can be personalized, and the thresholds for patterns or smoothing can be fine-tuned to match specific trading strategies. The script's ability to toggle between various modes makes it adaptable to different market conditions and analysis preferences.
In summary, the Alternative Price script is a comprehensive tool that redefines the way traders view price charts. By offering multiple visualization modes, customizable features, and advanced detection algorithms, it provides a powerful way to uncover market trends, volume relationships, and significant patterns. The recommendation to hide default chart elements ensures that the focus remains on this innovative tool, enhancing its usability and clarity. This script empowers traders to gain deeper insights into market behavior and make informed trading decisions, all while maintaining a clean and visually appealing chart layout.
Keep in mind that some of the modes of this indicator might not reflect the actual closing price of the underlying asset, before opening a trade, check carefully the actual price!
Open Interest Suite [Aggregated] - By LeviathanThis script is an all-in-one indicator that uses aggregated Open Interest data to plot OI candles, Open Interest Delta, OI x rVOL, and OI RSI. It also includes tools such as an OI Distribution profile, large OI increase/decrease coloring, a Stats Screener, and much more.
You can select and have the script plot the following:
- Open Interest in the form of OHLC candles
- Open Interest Delta in the form of a histogram
- Open Interest x Relative Volume in the form of a histogram
- Open Interest RSI in the form of a line
Additional features include:
- OI Distribution Profile (It shows the distribution of open interest in the visible range on y axis. This makes it easier to identify when Open Interest is relatively high or low and at which values most of the action took place)
- Stats screener (The screener includes the real-time net Open Interest value, Rekt Longs/Rekt Shorts based on large OI decreases and Aggressive Longs/Shorts based on large OI increases)
- Coloring (You can color OI Delta nodes, background and chart candles based on large OI increases/decreases)
- more
Instructions for the settings will be provided in the tooltips shortly.
Full credit goes to @KioseffTrading for the profile generation code.
Swing Data - ADR% / RVol / PVol / Float % / Avg $ VolThis table presents consolidated data that swing traders can refer to quickly for their benefit. I am of the firm belief that the information provided in this uncomplicated table is precisely what you require to optimize your trading efficiency, and ultimately, profitability.
The data includes;
1. Market Capitalization - a measure of the total value of a publicly traded company's outstanding shares.
2. Float % - the percentage of a company's outstanding shares that are available for trading on the open market. It is calculated by dividing the number of a company's outstanding shares that are available for trading on the open market by the total number of outstanding shares. A lower float percentage generally means that there are fewer shares available for trading, which can lead to increased volatility in the stock price. On the other hand, a higher float percentage generally means that there are more shares available for trading, which can lead to greater stability in the stock price.
3. ADR% - a technical analysis indicator that measures the average daily price movement as a percentage of its current price. It is calculated by taking the difference between the average high and low prices for a time period, and then dividing it by the current price. The resulting value is then multiplied by 100 to give the ADR% for that day. The ADR% can be useful for traders to assess the potential volatility of a stock. A higher ADR% indicates a greater potential for price movement.
4. ATR - measures the range of price movements of an asset over a specified period of time, taking into account any gaps in price. It is calculated by taking the highest value of the following three values:
The difference between the current high and the current low
The absolute value of the difference between the current high and the previous close
The absolute value of the difference between the current low and the previous close
The resulting value is then averaged over the specified period of time to create the ATR value. This indicator is reflects the average volatility of the asset over the specified period of time.
5. LoD dist. - also refer to Low Of Day distance, a range level gauge of current price based on historical volatility of the price movement, in this case I use ATR. for the historical volatility. Please find below as example for the calculation.
eg. LoD dist. = 104%
Current price (A) = $24.49
Low Price (B) = $22.16
Difference (A) - (B) = $2.33
ATR = $2.25
LoD dist = $2.33 / $2.25 = 103.55% (round up to nearest whole number = 104%)
6. Average Daily $ Volume - used to measure the average amount of money that is traded in a stock or a security over a particular period of time, typically a day. It is calculated by multiplying the average daily trading volume of a security by its average price.
7. Average Daily Volume - used to measure the average no. of share that is traded in a stock or a security over a particular period of time, typically a day.
8. Projected Volume - an estimate of the total volume of trading activity that is expected to occur for the day (from the specific time data), based on an average volume over a specific period of time. Projected volume can be used by traders and investors to help make informed decisions about buying or selling securities, and can also be used as an indicator of market sentiment and volatility. However, it's important to note that projected volume is an estimate and actual trading activity may vary.
9. Relative Volume - a measure of the volume of a stock that is trading at the specific time, relative to its average trading volume over a longer period. It is expressed as a percentage and is often used by traders and investors to identify stocks that are trading with higher or lower than usual volume.
Advanced VolumeThis simple indicator improves upon the built in volume indicator by adding the following:
-Option to use an EMA instead of SMA
-Advanced Coloring: Lighter bars show growing volume, darker bars show falling volume. Gray bars show very low relative volume (less than or equal to 50% of the moving average), while bars which have a highlighted background have a high relative volume( you can choose the threshold level, default is 2 times the RVOL).
Enjoy!
Attributable VolumeA volume indicator which calculates "Attributable Volume”, the portion of volume which contributed to the direction in which the candle moved.
Attributable Volume is calculated as: Total volume excluding the "counter wick" volume.
Where for a green (up) candle, the "counter wick" volume is the top wick volume.
In theory, Attributable Volume should better represent the effort of directional thrust of each candle.
By default, this indicator displays “Attributable RVOL”, but can be set to:
Attributable RVOL
RVOL
Attributable Volume
Volume
Note: RVOL = Relative Volume, the current volume divided by the Volume moving average. RVOL can be used to identify major moves, and potential starts/ends to trends.
BTC Volume Lines [v2018-11-17] @ LekkerCryptisch.nlCombine the volume of 8 BTCUSD exchanges in one graph.
Three use cases:
1) See the absolute volumes in one graph
2) See the relative volumes in one graph
3) See the deviation of the EMA the volumes in one graph
Clean Volume Bars (Green/Red + Above Avg Highlight)📊 Clean Volume Bars (Green/Red + Above Avg Highlight)
This script provides a clearer view of market volume by combining standard green/red volume bars with dynamic highlights for above-average activity.
Features:
✅ Green / Red Volume Bars – standard visualization:
Green when the candle closes higher than it opened
Red when the candle closes lower than it opened
✅ Average Volume Line – a simple moving average (default 20 periods) to track relative volume.
✅ Above Average Highlights – bars that exceed the average volume are emphasized:
White for above-average bullish volume
Black for above-average bearish volume
How to Use:
Look for white volume spikes during up candles → potential strong bullish activity.
Watch for black volume spikes during down candles → potential strong bearish pressure.
Combine with price action, trend, or other indicators for confluence (this is not a standalone trading system).
Key Indicators Dashboard (KID)Key Indicators Dashboard (KID) — Comprehensive Market & Trend Metrics
📌 Overview
The Key Indicators Dashboard (KID) is an advanced multi-metric market analysis tool designed to consolidate essential technical, volatility, and relative performance data into a single on-chart table. Instead of switching between multiple indicators, KID centralizes these key measures, making it easier to assess a stock’s technical health, volatility state, trend status, and relative strength at a glance.
🛠 Key Features
⦿ Average Daily Range (ADR %): Measures average daily price movement over a specified period. It is calculated by averaging the daily price range (high - low) over a set number of days (default 20 days).
⦿ Average True Range (ATR): Measures volatility by calculating the average of a true range over a specific period (default 14). It helps traders gauge the typical extent of price movement, regardless of the direction.
⦿ ATR%: Expresses the Average True Range as a percentage of the price, which allows traders to compare the volatility of stocks with different prices.
⦿ Relative Strength (RS): Compares a stock’s performance to a chosen benchmark index (default NIFTYMIDSML400) over a specific period (default 50 days).
⦿ RS Score (IBD-style): A normalized 1–100 rating inspired by Investor’s Business Daily methodology.
How it works: The RS Score is based on a weighted average of price changes over 3 months (40%), 6 months (20%), 9 months (20%), and 12 months (20%).
The raw value is converted into a percentage return, then normalized over the past 252 trading days so the lowest value maps to 1 and the highest to 100.
This produces a percentile-style score that highlights the strongest stocks in relative terms.
⦿ Relative Volume (RVol): Compares a stock's current volume to its average volume over a specific period (default 50). It is calculated by dividing the current volume by the average historical volume.
⦿ Average ₹ Volume (Turnover): Represents the total monetary value of shares traded for a stock. It's calculated by multiplying a day's closing price by its volume, with the final value converted to crores for clarity. This metric is a key indicator of a stock's liquidity and overall market interest.
⦿ Moving Average Extension: Measures how far a stock's current price has moved from from a selected moving average (EMA or SMA). This deviation is normalized by the stock's volatility (ATR%), with a default threshold of 6 ATR used to indicate that the stock is significantly extended and is marked with a selected shape (default Red Flag).
⦿ 52-Weeks High & Low: Measures a stock's current price in relation to its highest and lowest prices over the past year. It calculates the percentage a stock is below its 52-week high and above its 52-week low.
⦿ Market Capitalization: Market Cap represents the total value of all outstanding.
⦿ Free Float: It is the value of shares readily available for public trading, with the Free Float Percentage showing the proportion of shares available to the public.
⦿ Trend: Uses Supertrend indicator to identify the current trend of a stock's price. A factor (default 3) and an ATR period (default 10) is used to signal whether the trend is up or down.
⦿ Minervini Trend Template (MTT): It is a set of technical criteria designed to identify stocks in strong uptrends.
Price > 50-DMA > 150-DMA > 200-DMA
200-DMA is trending up for at least 1 month
Price is at least 30% above its 52-week low.
Price is within at least 25 percent of its 52-week high
Table highlights when a stock meets all above criteria.
⦿ Sector & Industry: Display stock's sector and industry, provides categorical classification to assist sector-based analysis. The sector is a broad economic classification, while the industry is a more specific group within that sector.
⦿ Moving Averages (MAs): Plot up to four customizable Moving Averages on a chart. You can independently set the type (Simple or Exponential), the source price, and the length for each MA to help visualize a stock's underlying trend.
MA1: Default 10-EMA
MA2: Default 20-EMA
MA3: Default 50-EMA
MA4: Default 200-EMA
⦿ Moving Average (MA) Crossover: It is a trend signal that occurs when a shorter-term moving average crosses a longer-term one. This script identifies these crossover events and plots a marker on the chart to visually signal a potential change in trend direction.
User-configurable MAs (short and long).
A bullish crossover occurs when the short MA crosses above the long MA.
A bearish crossover occurs when the short MA crosses below the long MA.
⦿ Inside Bar (IB): An Inside Bar is a candlestick whose entire price range is contained within the range of the previous bar. This script identifies this pattern, which often signals consolidation, and visually marks bullish and bearish inside bars on the chart with distinct colors and labels.
⦿ Tightness: Identifies periods of low volatility and price consolidation. It compares the price range over a short lookback period (default 3) to the average daily range (ADR). When the lookback range is smaller than the ADR, the indicator plots a marker on the chart to signal consolidation.
⦿ PowerBar (Purple Dot): Identifies candles with a strong price move on high volume. By default, it plots a purple dot when a stock moves up or down by at least 5% and has a minimum volume of 500,000. More dots indicate higher volatility and liquidity.
⦿ Squeezing Range (SQ): Identifies periods of low volatility, which can often precede a significant price move. It checks if the Bollinger Bands have narrowed to a range that is smaller than the Average True Range (ATR) for a set number of consecutive bars (default 3).
(UpperBB - LowerBB) < (ATR × 2)
⦿ Mark 52-Weeks High and Low: Marks and labels a stock's 52-Week High and Low prices directly on the chart. It draws two horizontal lines extending from the candles where the highest and lowest prices occurred over the past year, providing a clear visual reference for long-term price extremes.
⏳PineScreener Filters
The indicator’s alert conditions act as filters for PineScreener.
Price Filter: Minimum and maximum price cutoffs (default ₹25 - ₹10000).
Daily Price Change Filter: Minimum and maximum daily percent change (default -5% and 5%).
🔔 Built-in Alerts
Supports alert creation for:
ADR%, ATR/ATR %, RS, RS Rating, Turnover
Moving Average Crossover (Bullish/Bearish)
Minervini Trend Template
52-Week High/Low
Inside Bars (Bullish/Bearish)
Tightness
Squeezing Range (SQ)
⚙️ Customizable Visualization
Switchable between vertical or horizontal layout.
Works in dark/light mode
User-configurable to toggle any indicator ON or OFF.
User-configurable Moving (EMA/SMA), Period/Lengths and thresholds.
⦿ (Optional) : For horizontal table orientation increase Top Margin to 16% in Chart (Canvas) settings to avoid chart overlapping with table.
⚡ Add this script to your chart and start making smarter trade decisions today! 🚀
Volume-Based Candle ShadingThe Volume Shading indicator dynamically adjusts the color brightness of each price bar based on relative volume levels. It helps traders quickly identify whether a candle formed on low, average, or high volume without needing to reference a separate volume pane.
Candles are shaded dynamically as they form, so you can watch volume flow into them in real time. This indicator is designed to be as minimally intrusive as possible, allowing you to visualize volume levels without extra clutter on your charts.
The additional volume indicator in the preview above is there just for a point of reference to allow you to see how the shading on the bars correlates to the volume.
⸻
SETTINGS:
Bullish and bearish base colors — These serve as the midpoint (average volume) for shading.
Brightness mapping direction — Optionally invert the shading so that either high volume appears darker or lighter.
Volume smoothing length — Defines how many bars are averaged to determine what constitutes “normal” volume.
Candles with volume above average will appear darker or lighter depending on user preference, while those with average volume will be painted the chosen colors, giving an intuitive gradient that enhances volume awareness directly on the chart.
⸻
USES:
Confirming price action: Highlight when breakout candles or reversal bars occur with high relative volume, strengthening signal conviction.
Spotting low-volume moves: Identify candles that lack volume support, potentially signaling weak continuation or false breakouts.
Enhancing visual analysis: Overlay volume dynamics directly onto price bars, reducing screen clutter and aiding faster decision-making.
Custom visual workflows: Adapt the visual behavior of candles to your trading style by choosing color direction and base tones.
Mariam Market DashboardMariam Market Dashboard – A Quick Guide
Purpose:
Shows if the market is trending, volatile, or stuck so you can decide when to trade or wait.
How to Use
Add the indicator to your chart. Adjust basic settings like EMA, RSI, ATR lengths, and timezone if needed. Use it before entering any trade to confirm market conditions.
What Each Metric Means (with general ranges)
Session: Identifies which market session is active (New York, London, Tokyo).
Trend: Shows current market direction. “Up” means price above EMA and VWAP, “Down” means price below. Use this to confirm bullish or bearish bias.
HTF Trend: Confirms trend on a higher timeframe for stronger signals.
ATR (Average True Range): Measures market volatility or price movement speed.
Low ATR (e.g., below 0.5% of price) means quiet or slow market; high ATR (above 1% of price) means volatile or fast-moving market, good for active trades.
Strong Bar: A candlestick closing near its high (above 75% of range) indicates strong buying momentum; closing near its low indicates strong selling momentum.
Higher Volume: Volume higher than average (typically 10-20% above normal) means more market activity and stronger moves.
Volume / Avg Volume: Ratio above 1.2 (120%) shows volume is significantly higher than usual, signaling strong interest.
RVol % (Relative Volume %): Above 100% means volume is hotter than normal, increasing chances of strong moves; below 50% means low activity and possible indecision.
Delta: Difference between buying and selling volume (if available). A positive delta means buyers dominate; negative means sellers dominate.
ADX (Average Directional Index): Measures trend strength:
Below 20 means weak or no trend;
Above 25 means strong trend;
Between 20-25 is moderate trend.
RSI (Relative Strength Index): Momentum oscillator:
Below 30 = oversold (potential buy);
Above 70 = overbought (potential sell);
Between 40-60 means neutral momentum.
MACD: Confirms momentum direction:
Positive MACD histogram bars indicate bullish momentum;
Negative bars indicate bearish momentum.
Choppiness Index: Measures how much the market is ranging versus trending:
Above 60 = very choppy/sideways market;
Below 40 = trending market.
Consolidation: When true, price is stuck in a narrow range, signaling indecision. Avoid breakout trades during this.
Quick Trading Reminder
Trade only when the trend is clear and volume is above average. Avoid trading in low volume or choppy markets.
Volume Momentum [BackQuant]Volume Momentum
The Volume Momentum indicator is designed to help traders identify shifts in market momentum based on volume data. By analyzing the relative volume momentum, this indicator provides insights into whether the market is gaining strength (uptrend) or losing momentum (downtrend). The strategy uses a combination of percentile-based volume normalization, weighted moving averages (WMA), and exponential moving averages (EMA) to assess volume trends.
The system focuses on the relationship between price and volume, utilizing normalized volume data to highlight key market changes. This approach allows traders to focus on volume-driven price movements, helping them to capture momentum shifts early.
Key Features
1. Volume Normalization and Percentile Calculation:
The signed volume (positive when the close is higher than the open, negative when the close is lower) is normalized against the rolling average volume. This normalized volume is then subjected to a percentile interpolation, allowing for a robust statistical measure of how the current volume compares to historical data. The percentile level is customizable, with 50 representing the median.
2. Weighted and Smoothed Moving Averages for Trend Detection:
The normalized volume is smoothed using weighted moving averages (WMA) and exponential moving averages (EMA). These smoothing techniques help eliminate noise, providing a clearer view of the underlying momentum. The WMA filters out short-term fluctuations, while the EMA ensures that the most recent data points have a higher weight, making the system more responsive to current market conditions.
3. Trend Reversal Detection:
The indicator detects momentum shifts by evaluating whether the volume momentum crosses above or below zero. A positive volume momentum indicates a potential uptrend, while a negative momentum suggests a possible downtrend. These trend reversals are identified through crossover and crossunder conditions, triggering alerts when significant changes occur.
4. Dynamic Trend Background and Bar Coloring:
The script offers customizable background coloring based on the trend direction. When volume momentum is positive, the background is colored green, indicating a bullish trend. When volume momentum is negative, the background is colored red, signaling a bearish trend. Additionally, the bars themselves can be colored based on the trend, further helping traders quickly visualize market momentum.
5. Alerts for Momentum Shifts:
The system provides real-time alerts for traders to monitor when volume momentum crosses a critical threshold (zero), signaling a trend reversal. The alerts notify traders when the market momentum turns bullish or bearish, assisting them in making timely decisions.
6. Customizable Parameters for Flexible Usage:
Users can fine-tune the behavior of the indicator by adjusting various parameters:
Volume Rolling Mean: The period used to calculate the average volume for normalization.
Percentile Interpolation Length: Defines the range over which the percentile is calculated.
Percentile Level: Determines the percentile threshold (e.g., 50 for the median).
WMA and Smoothing Periods: Control the smoothing and response time of the indicator.
7. Trend Background Visualization and Trend-Based Bar Coloring:
The background fill is shaded according to whether the volume momentum is positive or negative, providing a visual cue to indicate market strength. Additionally, bars can be color-coded to highlight the trend, making it easier to see the trend’s direction without needing to analyze numerical data manually.
8. Note on Mean-Reversion Strategy:
If you take the inverse of the signals, this indicator can be adapted for a mean-reversion strategy. Instead of following the trend, the strategy would involve buying assets that are underperforming and selling assets that are overperforming, based on volume momentum. However, it’s important to note that this approach may not work effectively on highly correlated assets, as their price movements may be too similar, reducing the effectiveness of the mean-reversion strategy.
Final Thoughts
The Volume Momentum indicator offers a comprehensive approach to analyzing volume-based momentum shifts in the market. By using volume normalization, percentile interpolation, and smoothed moving averages, this system helps identify the strength and direction of market trends. Whether used for trend-following or adapted for mean-reversion, this tool provides traders with actionable insights into the market’s volume-driven movements, improving decision-making and portfolio management.
Relative Directional Volume Indicator# Relative Directional Volume Indicator (RelDirVol)
## Overview
The Relative Directional Volume Indicator (RelDirVol) is a powerful volume analysis tool that measures current trading volume relative to historical volume while differentiating between bullish and bearish volume flows. This indicator helps traders identify unusual volume activity and determine whether it's coming from buyers or sellers, providing deeper insights into market participation and potential trend strength.
## Features
- **Relative Volume Calculation**: Compares current volume to historical averages
- **Directional Volume Analysis**: Separates and visualizes bullish vs bearish volume
- **Multiple Moving Average Options**: Customize smoothing with various MA types (SMA, EMA, WMA, HMA, VWMA)
- **Split Moving Averages**: View distinct moving averages for bullish and bearish volume flows
- **Reference Lines**: Visual guides for normal volume (1.0x) and key deviation levels (0.5x, 2.0x, 3.0x)
- **Customizable Colors**: Adjust visual appearance for improved chart readability
## How It Works
The indicator calculates the relative volume by dividing the current bar's volume by the average volume over a specified lookback period. It then categorizes this volume as either bullish (when price closes above the open) or bearish (when price closes below or equal to the open).
1. **Relative Volume**: Current volume ÷ Average volume from previous N bars
2. **Directional Classification**: Assigns volume to bullish or bearish categories based on price action
3. **Moving Averages**: Applies user-selected moving average to smooth the data
The result is displayed as color-coded histogram bars showing the relative volume magnitude, with optional moving average lines for both overall and direction-specific volume trends.
## Interpretation
### Volume Magnitude
- **Above 1.0**: Higher than average volume (more participation than normal)
- **Below 1.0**: Lower than average volume (less participation than normal)
- **2.0+**: Volume twice the normal level (significant participation)
- **3.0+**: Volume three times normal (exceptional participation, often at key events)
### Directional Analysis
- **Strong Green Bars**: Heavy bullish participation driving prices up
- **Strong Red Bars**: Heavy bearish participation driving prices down
- **Bullish MA > Bearish MA**: Overall buying pressure dominating
- **Bearish MA > Bullish MA**: Overall selling pressure dominating
### Key Signals
- **Volume Spikes with Price Breakouts**: Confirms strength of the move
- **Divergence Between MAs**: Early warning of potential shift in market control
- **Sustained Above-Average Volume**: Strong trend continuation likely
- **Volume Decline After Spike**: Potential exhaustion of trend
## Settings
- **Relative Volume Lookback**: Comparison period for average volume (default: 20)
- **Moving Average Type**: Method used for smoothing (default: SMA)
- **Moving Average Length**: Smoothing period (default: 5)
- **Show Moving Average**: Toggle overall volume MA visibility
- **Show Baseline**: Toggle 1.0 reference line visibility
- **Show Bullish/Bearish MAs**: Toggle direction-specific MA visibility
## Best Practices
This indicator performs best when combined with price action analysis and other indicators. Look for:
1. Volume confirmation of breakouts and trend changes
2. Divergence between price movement and volume direction
3. Shifts in the relationship between bullish and bearish MAs
4. Unusual volume patterns during consolidation phases
Particularly effective for swing trading, day trading, and identifying institutional participation in market moves across multiple timeframes.
RVOL Color-Coded VolumeRVOL Color-Coded Volume Indicator
This tool visualizes volume intensity through color-coded bars in a separate panel, making it easy to identify significant market moves driven by unusual volume.
Key Features:
- Displays volume bars with varying colors and intensities based on RVOL (Relative Volume)
- Shows a customizable moving average line for volume reference
- Includes alert conditions for different RVOL thresholds
Color System:
Blue shades (Bullish):
- Light: Normal volume (RVOL < 1)
- Medium: Above average volume
- Dark: Heavy buying volume
- Solid: Extreme volume surge
Pink shades (Bearish):
- Light: Normal volume (RVOL < 1)
- Medium: Increased selling
- Dark: Heavy selling
- Solid: Extreme selling pressure
Gray shades (Neutral):
- Used when opening and closing prices are equal
- Intensity varies with RVOL level
Additional Features:
- Dotted threshold lines for easy reference
- Background highlighting for extreme volume events
- Data window shows exact RVOL values
- Multiple alert conditions for volume thresholds
The indicator helps traders spot potential trend changes and momentum shifts by highlighting unusual volume patterns without interfering with price analysis.
