Smoothed VWAP Bands + EMAsSmoothed VWAP bands
With my script, you take the raw standard deviation and apply an EMA (exponential moving
Advantages:
1. Less noise:
* The bands don’t jump around with every tiny price spike.
* Makes it easier to judge real price extremes.
2. Better zone visualization:
* Inner and outer bands are smoother and more visually “stable.”
* Easier to see meaningful trends, support/resistance, and breakout zones.
3. Fewer fakeouts:
* Traders can filter out small false signals because smoothed bands only move when volatility actually changes.
4. Dynamic to volatility:
* EMA smoothing keeps the bands adaptive:
* In quiet periods, bands tighten.
* In volatile periods, bands expand.
* But it avoids extreme jitter caused by every micro-move.
Safe Zone Rules
1. Long entries (green zone):
* Price above VWAP (trend bullish).
* Price inside inner band ±1σ (not touching outer extremes).
* Optional: candle close confirmation (price fully above inner band).
2. Short entries (red zone):
* Price below VWAP (trend bearish).
* Price inside inner band ±1σ.
* Optional: candle close confirmation.
3. Outer bands (±2σ):
* Considered overextended zones → avoid entries to reduce fakeouts.
4. Visual cues:
* Safe zones shaded lightly green/red inside inner band.
* Outer bands remain unshaded (for context).
Here’s a cheat sheet for trading the Smoothed VWAP Bands + EMAs that shows safe entry zones and trend alignment clearly.
Smoothed VWAP Bands + EMAs Cheat Sheet
Price Action Relative to Bands & EMAs
+2σ (Outer Upper Band)
----------------
Extreme volatility zone
Avoid entries here
+1σ (Inner Upper Band)
----------------
Safe zone limit for longs
Consider profit taking here
VWAP Line (Green = Bullish, Red = Bearish)
==================
Core trend indicator
Only trade in VWAP trend direction
-1σ (Inner Lower Band)
----------------
Safe zone limit for shorts
Good for entries in trend direction
-2σ (Outer Lower Band)
----------------
Extreme volatility zone
Avoid entries here
1️⃣ Trend Direction with VWAP & EMAs
* VWAP → shows the overall session trend.
* Price above VWAP → bullish
* Price below VWAP → bearish
* EMA 5 (blue) → short-term momentum
* EMA 20 (orange) → medium-term trend
Rule: Only take trades in the direction of the trend:
* Long trades → price > VWAP and EMA 5 > EMA 20
* Short trades → price < VWAP and EMA 5 < EMA 20
This prevents chasing trades against the trend and reduces fakeouts.
2️⃣ Entry Zones Using Smoothed VWAP Bands
* Inner band (±1σ) → “safe entry zone”
* Outer band (±2σ) → volatility extremes → avoid entries here
Rule: Enter longs inside the inner band above VWAP and shorts inside the inner band below VWAP.
Best used on intraday timeframes.
15, 5, 2, 1 min charts.
Volume
Normalised Volume Oscillator [BackQuant]Normalised Volume Oscillator
A refined evolution of the Klinger Volume Oscillator, rebuilt for clarity, precision, and adaptability. This tool normalizes volume-driven momentum into a bounded scale so you can easily identify shifts in accumulation and distribution across any asset or timeframe, while keeping readings comparable between markets.
What this indicator does
The Normalised Volume Oscillator quantifies the balance between buying and selling pressure using the Klinger Volume Oscillator (KVO) as its base, then rescales it dynamically into a normalized range between -0.5 and +0.5. This normalization allows traders to interpret relative strength and exhaustion in volume flow, rather than dealing with raw unbounded values that differ across symbols.
It is a momentum-volume hybrid that reveals the strength of trend participation: when buyers dominate, normalized readings rise toward +0.5; when sellers dominate, they fall toward -0.5. The midline (0) acts as an equilibrium between accumulation and distribution.
Core components
Klinger Volume Oscillator: The foundation of this indicator, combining volume with price trend direction to measure long-term money flow relative to short-term movement.
Normalization process: The raw KVO is scaled over a user-defined Normalisation Period , computing `(KVO - lowest) / (highest - lowest) - 0.5`. This centers all readings around zero, allowing overbought/oversold detection independent of asset volatility or volume magnitude.
Signal moving average: The normalized KVO is smoothed with a user-selectable moving average type—SMA, EMA, DEMA, TEMA, HMA, ALMA, and others. This becomes the signal line for confirmation of trend direction or mean-reversion setups.
How it works conceptually
1. The KVO detects when volume supports price movement (bullish) or diverges from it (bearish).
2. The script normalizes the raw KVO so that relative magnitude is consistent—what is “strong buying pressure” looks the same on BTCUSD as it does on AAPL.
3. Overbought and oversold regions are derived statistically, rather than from arbitrary values, based on percentile zones around ±0.4 and ±0.5.
4. The oscillator is optionally combined with a moving average to help identify crossovers, momentum shifts, and divergence confirmation.
How to interpret it
Above 0: Indicates dominant buying pressure and likely continuation of upward momentum.
Below 0: Suggests dominant selling pressure and potential continuation of downward movement.
Crosses of 0: Often mark transitions between accumulation and distribution phases.
+0.4 to +0.5 zone: Overbought region where buying intensity is stretched; watch for deceleration or divergence.
[-0.4 to -0.5 zone: Oversold region indicating panic or exhaustion in selling.
Signal-line crossover: A traditional momentum confirmation method; when the normalized KVO crosses above its moving average, buyers regain control, and vice versa.
Why normalization matters
Typical volume oscillators are asset-specific—what is considered “high” volume for one symbol is not the same for another. By dynamically normalizing KVO values within a rolling lookback, this version transforms raw amplitude into a standardized scale. This means you can:
Compare multiple assets objectively.
Set consistent alert thresholds for overbought/oversold regions.
Avoid misleading interpretations from absolute oscillator values.
Customization and UI
Moving Average Type & Period: Select your preferred smoothing method (SMA, EMA, TEMA, etc.) and adjust its period to tune sensitivity.
Normalisation Period: Defines how many bars the KVO range is measured over; shorter periods adapt faster, longer ones smooth more.
Visual Toggles:
* Show Oscillator : enables or hides the core histogram.
* Show Moving Average : adds a smoothed overlay for signal confirmation.
* Paint Candles : optional color overlay for chart candles based on oscillator direction.
* Show Static Levels : displays ±0.4 and ±0.5 zones for overbought/oversold boundaries.
How to use it
Trend confirmation: Use midline (0) crossovers as confirmation of emerging trend shifts—cross above 0 suggests a new bullish phase, cross below 0 a bearish one.
Reversal spotting: Look for normalized readings reaching ±0.5 and flattening, or diverging against price extremes.
Divergence analysis: When price makes a new high but the normalized oscillator fails to, it signals waning buying conviction (and vice versa for lows).
Multi-timeframe integration: Works best alongside higher timeframe trend filters or moving averages; normalization makes this consistent.
Alerts
Prebuilt alert conditions allow quick automation:
Midline crossovers (0): transition between accumulation and distribution.
Overbought (+0.4) and Oversold (-0.4) triggers for potential exhaustion.
Signal moving-average crosses for confirmation entries.
Tips for use
Combine with price structure—don’t fade every overbought/oversold reading; confirm with break of structure or candle patterns.
Use longer normalization periods for position trading, shorter for intraday analysis.
In choppy markets, treat 0-line oscillations as noise filters, not trade triggers.
Summary
The Normalised Volume Oscillator modernizes the classic Klinger Volume Oscillator by normalizing its readings into a standardized range. This makes it more adaptive across assets and timeframes, improves interpretability, and provides intuitive, data-driven overbought/oversold levels. Whether used standalone or as a confirmation layer, it offers a clearer view of volume dynamics—revealing when markets are truly being accumulated, distributed, or stretched beyond their sustainable extremes.
My script//@version=5
indicator("200-Day Volume MACD Oscillator", overlay=false)
length = 200
vol_avg = ta.sma(volume, length)
oscillator = volume - vol_avg
plot(oscillator, style=plot.style_histogram, color=oscillator >= 0 ? color.green : color.red, title="Volume MACD Oscillator")
Smart RSI Money Flow - Core Bands V1.01SMART RSI – Money Flow Bands (Technical Overview)
1. Background: RSI and Its Behavior on Lower Timeframes
The Relative Strength Index (RSI) originally is a momentum oscillator calculated from average gains and losses over a selected period. In its standard form, RSI is derived solely from price changes; it does not incorporate volume data or order-flow information in its formula.
Because RSI is price-based, its interpretation depends strongly on the timeframe:
• On higher timeframes, each bar aggregates more trading activity, and RSI tends to behave more smoothly.
• On lower timeframes (1-hour down to intraday scalping intervals), price fluctuations are quicker, and RSI becomes more sensitive to short-term noise.
This does not imply that RSI becomes invalid, but that its signals on fast charts can be more reactive and may benefit from additional context such as volume behavior or structural information.
2. Purpose of This Indicator
This indicator extends the classical RSI by adding information that RSI does not include:
• Mapping RSI values into price-based bands instead of the 0–100 oscillator space.
• Retrieving lower timeframe volume data and separating it into buy and sell components.
• Comparing the slope (angle) of price movement with the slope of buy and sell volume.
The goal is to provide a structural interpretation of where price sits relative to RSI conditions and how volume is behaving on a lower timeframe.
3. Technical Differences Compared to Classical RSI
A) Classical RSI
• Input: price only (usually close).
• Output: normalized oscillator between 0 and 100.
• Does not incorporate intra-bar volume distribution.
• Does not separate buy/sell volume.
B) SMART RSI – Money Flow Bands
1) RSI-to-Price Mapping
Converts RSI values into upper/lower price bands using recent price extremes.
2) Lower Timeframe Volume Decomposition
Retrieves LTF data and splits each bar’s volume into buy (close>open) and sell (close
Smoothed VWAP Bands🎯 Best Smoothing Setting for Scalping (What You Should Use)
Style σ Smoothing Result
Fast scalping (1min) EMA 14 Very responsive, still filters noise
Balanced intraday (1–5min) EMA 20 Best overall reliability
Slow confirmation (5–15min) EMA 30 Eliminates nearly all fakeouts
✅ What We Are Actually Smoothing
You are NOT smoothing VWAP itself.
You are smoothing the standard deviation (σ) that creates the VWAP bands:
✔ What this does:
* Computes the raw standard deviation (σ) of price relative to VWAP
* Smooths that σ using EMA smoothing
* Builds ±1 and ±2 bands using the smoothed σ
* You get clean, stable bands that filter fakeouts
✔ Result:
* Bands do NOT twitch in chop
* Fakeouts are filtered
* Real breakouts show obvious expansion
RED-E Market Structure (Pro V2)RED-E Market Structure - Comprehensive Technical Analysis System
⚠️ EDUCATIONAL TOOL - NO GUARANTEES
This indicator is designed for educational purposes to help traders learn technical analysis concepts. It does not predict future price movements or guarantee profitable trades. Trading involves substantial risk of loss.
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📊 WHAT THIS INDICATOR DOES
This indicator combines multiple standard technical analysis methods into a unified system for analyzing market structure, momentum, volume dynamics, and key price levels. Rather than adding 10 separate indicators to your chart, this consolidates related information into one cohesive interface where each component informs the others.
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🔧 TECHNICAL METHODOLOGY - HOW IT WORKS
1️⃣ MOMENTUM CANDLE COLORING (6 Levels)
Calculation Method:
- Compares close vs EMA(9) and EMA(21)
- Applies RSI(14) thresholds for strength
- Color codes: Royal Blue (strongest bull) → Cyan → Green → Yellow → Orange → Red (strongest bear) → White (neutral)
Formula Logic:
IF close > EMA(9) AND close > EMA(21) AND close > open:
RSI > 70 = Level 3 Bull (Royal Blue)
RSI 60-70 = Level 2 Bull (Cyan)
RSI < 60 = Level 1 Bull (Green)
Purpose: Visualizes momentum strength by combining trend (EMAs), candle direction, and overbought/oversold conditions (RSI).
2️⃣ ENTRY SIGNAL LABELS
Calculation Method:
- Uses EMA alignment: EMA(9) > EMA(21) > EMA(50) for bullish
- Filters RSI to avoid extremes
- Requires confirming candle
BUY Signal Logic:
IF close > EMA(9) AND RSI between 40-70 AND EMA(9) > EMA(21) > EMA(50) AND close > open
THEN: Display "BUY" label
Purpose: Identifies potential entries when multiple trend and momentum conditions align. This is standard multi-confirmation technical analysis.
3️⃣ VOLUME DELTA PERCENTAGE
Calculation Method:
FOR each bar in lookback period (default 20):
IF close > open: add volume to bullish_volume
IF close < open: add volume to bearish_volume
bullish_percent = (bullish_volume / total_volume) × 100
Purpose: Quantifies buying vs selling pressure as percentages. Shows if volume supports the current trend.
Display: "🟢65.3% | 🔴34.7%" in dashboard
4️⃣ PRE-MARKET HIGH/LOW TRACKING
Calculation Method:
1. Detect pre-market session (4:00-9:30 AM ET)
2. Track highest high during pre-market
3. Track lowest low during pre-market
4. Draw horizontal lines when market opens
Purpose: Pre-market levels often act as support/resistance during regular hours. This automates their tracking and visualization.
5️⃣ OPENING RANGE BREAKOUT (ORB)
Calculation Method:
1. User sets start time (default 9:30 AM) and duration (default 15 min)
2. Track highest high and lowest low during this period
3. Draw box and extend lines
Purpose: The opening range breakout is a well-documented day trading strategy. First X minutes establish a range, and breakouts often signal directional moves.
6️⃣ SUPPORT/RESISTANCE TRENDLINES
Calculation Method:
1. Identify pivot highs: ta.pivothigh(high, 5, 5)
2. Identify pivot lows: ta.pivotlow(low, 5, 5)
3. Connect last two pivot highs = Resistance (red)
4. Connect last two pivot lows = Support (blue)
Purpose: Automatically connects significant pivot points. Based on standard pivot analysis where price respects these levels.
7️⃣ GAMMA ZONE DETECTION
Calculation Method:
1. Calculate 30-min range: (high - low)
2. Calculate 10-period SMA of range
3. Calculate ratio: current_range / average_range
IF ratio < (1.0 / sensitivity): HIGH GAMMA = Low volatility
IF ratio > (1.0 × sensitivity): LOW GAMMA = High volatility
Purpose: Approximates options gamma effects. High gamma = dealers hedge more = suppressed volatility. Low gamma = less hedging = potential explosive moves.
8️⃣ TAKE PROFIT LEVELS (5 Levels + ATR Stop Loss)
Calculation Method:
LONG: TP = entry_price × (1 + percentage/100)
SHORT: TP = entry_price × (1 - percentage/100)
Stop Loss (ATR): entry ± (ATR(14) × multiplier)
Purpose: Automatically calculates percentage-based targets and volatility-adjusted stops. ATR adapts stop to current market conditions.
9️⃣ THE STRAT PATTERN RECOGNITION
Calculation Method:
Compare current bar to previous:
- Strat 3 (outside bar): high > high AND low < low
- Strat 1 (inside bar): high ≤ high AND low ≥ low
- Strat 2 (directional): All others
Purpose: The Strat is a price action system categorizing bars by relationship to previous bars. This automates classification.
🔟 FIBONACCI RETRACEMENTS
Calculation Method:
1. Find highest high in lookback (default 30 bars)
2. Find lowest low in lookback
3. Calculate: 0.0, 0.382, 0.5, 0.618, 1.0 levels
Purpose: Standard Fibonacci tool. These ratios are commonly used support/resistance in technical analysis.
1️⃣1️⃣ MULTI-TIMEFRAME ANALYSIS
Calculation Method:
FOR each timeframe (default 15m, 1H, 4H):
Check if close > EMA(9) on that timeframe
IF true: "BULLISH", else: "BEARISH"
Purpose: Shows trend alignment across timeframes using Pine's request.security(). Common confirmation technique.
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💡 WHY THESE COMPONENTS WORK TOGETHER
This indicator's originality lies in its unified system approach:
1. TREND IDENTIFICATION (EMAs, MTF) - Shows direction
2. MOMENTUM MEASUREMENT (RSI, candles) - Shows strength
3. VOLUME CONFIRMATION (Volume Delta) - Shows conviction
4. KEY LEVELS (PM, ORB, Fib, S/R) - Shows decision points
5. RISK MANAGEMENT (TP levels, ATR stops) - Shows exits
VALUE OF INTEGRATION:
Rather than 10 separate indicators creating chart clutter, this consolidates related concepts where each component provides different information that, when viewed together, gives a more complete market picture.
Example Integration:
- Entry signal appears (EMA + RSI aligned)
- Volume Delta confirms (more buying than selling)
- MTF shows higher timeframes agree
- TP levels auto-calculate with good risk:reward
- Support trendline nearby provides stop reference
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⚙️ CUSTOMIZATION OPTIONS
All features independently toggleable:
- EMAs: Adjust lengths (9, 21, 50, 200), colors, widths
- RSI: Change overbought/oversold levels (70/30)
- Volume Delta: Adjust lookback period (20)
- ORB: Set custom start time, duration, timezone
- Gamma: Adjust sensitivity (1-10)
- TP Levels: Customize all 5 percentages
- Dashboard: Reposition, resize, recolor
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📖 HOW TO USE
Step 1 - Assess Context:
- Check MTF Dashboard for alignment
- Check EMA indicator for trend
- Check Gamma Zone for volatility expectation
Step 2 - Identify Setups:
- Wait for BUY/SELL signal
- Check Volume Delta matches direction
- Verify RSI not extreme (30-70)
- Look for support/resistance confluence
Step 3 - Evaluate Risk:Reward:
- Review TP3 R:R ratio (target 2:1+)
- Check stop loss placement
- Ensure risk acceptable
Step 4 - Monitor:
- Track P&L % in real-time
- Use TP levels as potential exits
- Adjust stops based on S/R
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⚠️ LIMITATIONS & REALISTIC EXPECTATIONS
This indicator does NOT:
- Predict future price movements
- Guarantee profitable trades
- Work in all market conditions
- Replace proper education and practice
This indicator CAN:
- Display standard technical indicators in organized way
- Automate common calculations
- Visualize multiple analysis methods simultaneously
- Help learn how different indicators relate
Key Understanding:
All technical indicators use historical data. They help identify patterns and conditions but cannot predict the future. Successful trading requires risk management, psychology, and experience—not just indicators.
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📚 EDUCATIONAL CONCEPTS TAUGHT
- How EMAs show trend direction and alignment
- How RSI identifies momentum extremes
- How volume confirms or diverges from price
- How support/resistance levels form
- How multiple timeframes provide context
- How ATR adapts stops to volatility
- How risk:reward ratios work
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📊 BEST SUITED FOR
- Scalping: 1m-5m charts with quick entries/exits
- Day Trading: 15m-1H focusing on ORB and PM levels
- Swing Trading: 4H-D following major trends
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⚠️ RISK DISCLAIMER
Trading involves substantial risk of loss. This educational tool:
- Does NOT guarantee profits
- Cannot predict future performance
- Requires proper risk management
- Should be practiced on demo accounts first
Always use stop losses, risk only 1-2% per trade, and consult licensed financial professionals before trading with real capital.
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Educational tool for learning technical analysis. Not financial advice. Past results do not indicate future performance.
NEW PRICE ACTION ALGO (v2)Updated price action indicator for day trading QQQ,SPY & IWM on the 5-6min chart
One Minute AI scalper keep extended trading hours on# One Minute AI Scalper - Trading Indicator
## Overview
The One Minute AI Scalper is a precision-engineered trading indicator designed specifically for short-term scalping strategies on 1-minute timeframes. This indicator combines multiple technical analysis methods to identify high-probability entry points for both long and short positions, making it ideal for active traders seeking quick, momentum-based opportunities.
## Key Features
### Visual Signals
- **Long Entry Arrows**: Clear green triangle markers appear below price bars when bullish conditions align
- **Short Entry Arrows**: Clear red triangle markers appear above price bars when bearish conditions align
- Clean, uncluttered chart interface focusing on actionable signals
### Advanced Signal Generation
The indicator utilizes a sophisticated multi-factor approach to generate trading signals:
1. **Trend Analysis**: Employs moving average crossover methodology to identify the prevailing market direction
2. **Momentum Confirmation**: Analyzes candlestick patterns and price behavior to confirm momentum strength
3. **Volume Validation**: Incorporates volume analysis to distinguish between high-conviction and standard signals
4. **Reversal Detection**: Identifies potential trend reversals by examining recent price action patterns
5. **Precision Entry Filtering**: Uses specific candlestick characteristics to minimize false signals
### Alert System
Comprehensive alert functionality for all signal types:
- Long Entry alerts
- Short Entry alerts
## How It Works
### Long Position Signals
The indicator generates long entry signals when multiple bullish conditions simultaneously align, including:
- Confirmation of upward momentum through price action
- Specific candlestick structure indicating strong buying pressure
- Price position relative to key moving averages
- Recent price behavior suggesting reversal potential
- Volume characteristics supporting the move
### Short Position Signals
Short entry signals are generated when multiple bearish conditions converge, including:
- Confirmation of downward momentum through price action
- Specific candlestick structure indicating strong selling pressure
- Price position relative to key moving averages
- Recent price behavior suggesting reversal potential
- Volume characteristics supporting the move
### Position Management
The indicator includes intelligent position state tracking to:
- Prevent duplicate signals while in an active position
- Generate exit signals based on opposing price action
- Maintain clear status of whether you're in a long or short position
## Best Practices
### Recommended Usage
- **Timeframe**: Optimized for 1-minute charts
- **Extended Hours**: Keep extended trading hours enabled for full market coverage
- **Markets**: Works on stocks, forex, crypto, and futures
- **Strategy**: Best suited for scalping and day trading strategies
### Risk Management
- Always use proper stop-loss orders
- Consider position sizing based on account risk tolerance
- Pay attention to volume-indicated signals for higher conviction trades
- Avoid trading during low-liquidity periods
- Combine with your own risk management rules
### Trading Tips
- Higher volume signals generally indicate stronger conviction
- Wait for clear arrow signals rather than trying to anticipate them
- Monitor overall market conditions and major support/resistance levels
- Be aware of news events that may cause unusual volatility
- Practice in a paper trading account before using real capital
## Important Notes
### What This Indicator Does
✅ Provides clear visual entry signals for long and short positions
✅ Incorporates multiple technical factors for signal generation
✅ Includes volume analysis for conviction assessment
✅ Offers comprehensive alert options for all signal types
✅ Maintains position state awareness
### What This Indicator Doesn't Do
❌ Does not guarantee profitable trades
❌ Does not provide specific price targets or stop-loss levels
❌ Does not replace the need for proper risk management
❌ Does not account for fundamental analysis or news events
❌ Does not adapt settings automatically to market conditions
## Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, and past performance does not guarantee future results. Trading involves substantial risk of loss, and you should only trade with capital you can afford to lose. Always conduct your own research and consider consulting with a qualified financial advisor before making trading decisions.
## Configuration
This indicator uses fixed, optimized parameters that have been carefully calibrated for 1-minute scalping. No user configuration is required - simply add it to your chart and monitor for signals.
## Support
For questions, suggestions, or feedback about this indicator, please use the comments section or contact the author directly through TradingView.
---
**Version**: 6.0
**Category**: Momentum/Scalping
**Overlay**: Yes
**Timeframe**: 1 minute (optimized)
Fair Value Gaps - Cucaracha📘 Fair Value Gaps (FVG) – Clean, Automatic Detection & Real-Time Tracking
The Fair Value Gaps (FVG) indicator automatically detects and visualizes Bullish and Bearish Fair Value Gaps directly on your chart. Built with precision, it highlights imbalance zones, continuously extends them in real time, and removes them the moment they’re mitigated — giving you a clean and accurate market structure view.
✅ Key Features
Automatic FVG Detection
Identifies bullish and bearish FVGs using a strict 3-candle imbalance model.
Dynamic Boxes
Each detected FVG is drawn as a shaded box and extends forward until price fills or mitigates the zone.
Auto-Cleanup (Mitigation Logic)
When price returns to the gap and fills it, the zone is instantly removed, keeping your chart clean and focused.
Custom Colors
Choose your own colors for bullish and bearish FVG boxes.
🎯 Why Traders Use This
Fair Value Gaps are widely used in:
Smart Money Concepts (SMC)
ICT-style trading
Market imbalance analysis
They highlight areas where price moved aggressively and may later return to rebalance.
This indicator helps you:
Spot institutional imbalances instantly
Track unmitigated FVGs without manually drawing boxes
Stay focused on key reaction zones
Improve entries based on premium/discount and liquidity concepts
🧠 How It Works
Bullish FVG:
Occurs when price leaves a gap where low > high , creating an upward imbalance zone.
Bearish FVG:
Occurs when high < low , indicating a downward imbalance zone.
Detected gaps are plotted as forward-extending boxes until price mitigates them.
Once mitigated (price fills the gap), the zone is automatically removed.
🟦🟥 Visuals
Blue (or your chosen color): Bullish FVG
Red (or your chosen color): Bearish FVG
150% Volume Surge1M charts show 150% volume surge to confirm scalping oppos in the direction of the general trend.
Cumulative Volume Delta Divergence [TradingFinder] Periodic EMACVD Divergence with Alerts.
Cumulative Volume Delta Divergence Periodic EMA with some alerts added
Frequency Momentum Oscillator [QuantAlgo]🟢 Overview
The Frequency Momentum Oscillator applies Fourier-based spectral analysis principles to price action to identify regime shifts and directional momentum. It calculates Fourier coefficients for selected harmonic frequencies on detrended price data, then measures the distribution of power across low, mid, and high frequency bands to distinguish between persistent directional trends and transient market noise. This approach provides traders with a quantitative framework for assessing whether current price action represents meaningful momentum or merely random fluctuations, enabling more informed entry and exit decisions across various asset classes and timeframes.
🟢 How It Works
The calculation process removes the dominant trend from price data by subtracting a simple moving average, isolating cyclical components for frequency analysis:
detrendedPrice = close - ta.sma(close , frequencyPeriod)
The detrended price series undergoes frequency decomposition through Fourier coefficient calculation across the first 8 harmonics. For each harmonic frequency, the algorithm computes sine and cosine components across the lookback window, then derives power as the sum of squared coefficients:
for k = 1 to 8
cosSum = 0.0
sinSum = 0.0
for n = 0 to frequencyPeriod - 1
angle = 2 * math.pi * k * n / frequencyPeriod
cosSum := cosSum + detrendedPrice * math.cos(angle)
sinSum := sinSum + detrendedPrice * math.sin(angle)
power = (cosSum * cosSum + sinSum * sinSum) / frequencyPeriod
Power measurements are aggregated into three frequency bands: low frequencies (harmonics 1-2) capturing persistent cycles, mid frequencies (harmonics 3-4), and high frequencies (harmonics 5-8) representing noise. Each band's power normalizes against total spectral power to create percentage distributions:
lowFreqNorm = totalPower > 0 ? (lowFreqPower / totalPower) * 100 : 33.33
highFreqNorm = totalPower > 0 ? (highFreqPower / totalPower) * 100 : 33.33
The normalized frequency components undergo exponential smoothing before calculating spectral balance as the difference between low and high frequency power:
smoothLow = ta.ema(lowFreqNorm, smoothingPeriod)
smoothHigh = ta.ema(highFreqNorm, smoothingPeriod)
spectralBalance = smoothLow - smoothHigh
Spectral balance combines with price momentum through directional multiplication, producing a composite signal that integrates frequency characteristics with price direction:
momentum = ta.change(close , frequencyPeriod/2)
compositeSignal = spectralBalance * math.sign(momentum)
finalSignal = ta.ema(compositeSignal, smoothingPeriod)
The final signal oscillates around zero, with positive values indicating low-frequency dominance coupled with upward momentum (trending up), and negative values indicating either high-frequency dominance (choppy market) or downward momentum (trending down).
🟢 How to Use This Indicator
→ Long/Short Signals: the indicator generates long signals when the smoothed composite signal crosses above zero (indicating low-frequency directional strength dominates) and short signals when it crosses below zero (indicating bearish momentum persistence).
→ Upper and Lower Reference Lines: the +25 and -25 reference lines serve as threshold markers for momentum strength. Readings beyond these levels indicate strong directional conviction, while oscillations between them suggest consolidation or weakening momentum. These references help traders distinguish between strong trending regimes and choppy transitional periods.
→ Preconfigured Presets: three optimized configurations are available with Default (32, 3) offering balanced responsiveness, Fast Response (24, 2) designed for scalping and intraday trading, and Smooth Trend (40, 5) calibrated for swing trading and position trading with enhanced noise filtration.
→ Built-in Alerts: the indicator includes three alert conditions for automated monitoring - Long Signal (momentum shifts bullish), Short Signal (momentum shifts bearish), and Signal Change (any directional transition). These alerts enable traders to receive real-time notifications without continuous chart monitoring.
→ Color Customization: four visual themes (Classic green/red, Aqua blue/orange, Cosmic aqua/purple, Custom) allow chart customization for different display environments and personal preferences.
NIFTY FNO STOCK (UPDATED)New latest FNO stock Shown at top of the table in indicator for buy and sell signal in sectorwise stock selection
NIFTY FNO Stock Screener Sector-wiseNSE FNO STOCK SCREENER SECTOR WISE. Open indicator and select sector. find which sector is moving upward or downward today. select specific sector and you will see all stock list in selected sector. you will show buy and sell signal in particular sector. open stock which show buy or sell signal and check your requirement for buy or sell . you can also used for options also to buy as per required signal
Vol——BcnkVol-Bcnk Volume Indicator Introduction
Overview
Vol-Bcnk is an advanced volume analysis indicator built on Pine Script 6 that helps traders identify abnormal trading volume activity through statistical analysis and heatmap visualization. This indicator not only displays basic volume data but also classifies volume strength through a multi-level threshold system with color coding.
Core Features
1. Intelligent Volume Analysis
· Moving Average Baseline: Uses configurable moving average length (default 610 periods) as volume baseline
· Standard Deviation Measurement: Calculates how many standard deviations current volume is from historical average
· Dynamic Thresholds: Automatically adjusts sensitivity based on market volatility
2. Multi-Level Heatmap System
The indicator provides five clear volume strength levels:
Extra High - More than 4.0 standard deviations (Red) - Extreme abnormality, may indicate major events
High - 2.5 to 4.0 standard deviations (Orange) - Significant abnormality, strong signals
Medium - 1.0 to 2.5 standard deviations (Yellow) - Moderate abnormality, worth attention
Normal - -0.5 to 1.0 standard deviations (Light Blue) - Normal fluctuation range
Low - Less than -0.5 standard deviations (Dark Blue) - Below average volume
3. Dual Color Mode System
Heatmap Mode
· Colors based solely on volume strength
· Unified color scheme focused on pure volume analysis
Up/Down Mode
· Combines price direction with volume strength
· Green shades for up moves, red shades for down moves
· Provides richer market context information
4. Multiple Visualization Options
· Colored Volume Bars: Visual display of each strength level
· Heatmap Zone Backgrounds: Background colors for each threshold range
· Threshold Level Lines: Mark key threshold positions
· Moving Average Line: Optional volume baseline display
Parameter Configuration
Main Settings
· MA Length: Moving average period, controls baseline smoothness
· Standard Deviation Length: Standard deviation calculation period, affects volatility sensitivity
Threshold Adjustment
Users can customize standard deviation multipliers for each strength level to adapt to different market characteristics:
· Smaller values: More sensitive, suitable for short-term trading
· Larger values: More conservative, suitable for long-term analysis
Alert System
The indicator includes a comprehensive alert mechanism for:
· Volume anomalies at each strength level
· Abnormal volume differentiated by upward and downward direction
· Real-time trading opportunity notifications
Application Scenarios
1. Breakout Confirmation
Identifies abnormal volume accompanying price breakouts to verify authenticity
2. Reversal Signals
Extreme volume combined with price reversal patterns provides high-probability reversal signals
3. Trend Strength Assessment
Evaluates current trend sustainability through volume strength distribution
4. Institutional Activity Detection
Abnormally high volume may reveal institutional large orders entering or exiting
Usage Recommendations
Short-Term Trading
· Use shorter MA and standard deviation periods (like 50-100)
· Focus on High and Extra High level signals
· Confirm with price action
Long-Term Investing
· Use longer periods (like default 610)
· Mainly focus on Extra High level significant anomalies
· Combine with fundamental analysis
Vol-Bcnk provides traders with a powerful volume analysis tool through scientific statistical methods and intuitive visualization, helping identify truly important volume activities in the market while avoiding distraction from normal market noise in decision-making.
Nifty FNO Stock Screener Sector wise (Protected)NSE FNO STOCK SCREENER SECTOR WISE. Open indicator and select sector. find which sector is moving upward or downward today. select specific sector and you will see all stock list in selected sector. you will show buy and sell signal in particular sector. open stock which show buy or sell signal and check your requirement for buy or sell . you can also used for options also to buy as per required signal
SHA CandleFlow ProSHA CandleFlow Pro v1.0.0 ✨🚀
SHA CandleFlow Pro is a next-generation price-action tool designed to detect high-probability candlestick rejection signals with extreme clarity and precision.
Built for traders who rely on reversal confirmation, wick rejection, momentum shifts, and candle behavior, this indicator helps you instantly visualize where price is likely to reverse, react, or continue with reduced strength.
Whether you trade scalping, intraday, swing, or ICT/SMC concepts, SHA CandleFlow Pro enhances your entries and timing with accurate rejection detection
Core Features ⚙️🔰
- Strong Bullish -> Green color
- Strong Bearish -> Red color
- Medium Bullish/Bearish -> Blue gray color
- Normal Bullish/Bearish -> N/A color
1. Strong Bullish Rejection — Green
Identifies powerful bullish rejection candles with strong wick dominance and momentum absorption.
Green highlights show areas where buyers aggressively step in, signaling high-probability bullish reactions or reversals.
2. Strong Bearish Rejection — Red
Detects strong bearish rejection candles with clear selling pressure.
Red highlights mark zones where sellers strongly reject price, indicating potential downside continuation or reversal points.
3. Medium Bullish / Bearish Rejection — Blue-Gray
For moderate rejection strength, the indicator displays blue-gray highlights.
These candles show noticeable but not extreme rejection, often signaling:
Early reversal signs
Weakening trend
Reaction zones
Potential continuation entries
They act as secondary confirmation.
4. Normal Candles — No Color
If a candle shows no meaningful rejection, no highlight is applied.
This keeps the chart clean and ensures you only focus on:
High-quality rejection
Clear price reaction levels
Relevant market behavior
Normal candles are intentionally ignored to avoid noise and over-signal conditions.
How to Use SHA CandleFlow Pro📘
SHA CandleFlow Pro is designed to help you confirm market reversals, rejections, and price reactions with high precision.
The best way to use it effectively is combine with your strategy to trade.
This is sample how to use it :
⚠️ Disclaimer
The information and tools provided in this script are for educational and informational purposes only.
Trading in the financial markets involves risk of loss and is not suitable for every investor. You are solely responsible for your trading decisions. Always do your own research, use proper risk management, and consult a licensed financial advisor before making any financial decisions.
Ross Cameron 5 Pillars FilterFirst, I am not Ross Cameron. This indicator is based on his five pillars of stock selection.
ROSS CAMERON 5 PILLARS MOMENTUM FILTER
🎯 OVERVIEW
This indicator automatically checks if the current symbol meets Ross Cameron's famous "5 Pillars" stock selection criteria from Warrior Trading - a proven methodology for identifying high-probability momentum day trading setups.
📊 ROSS CAMERON'S 5 PILLARS
1️⃣ RELATIVE VOLUME ≥5x (Automated ✅)
• Compares current volume to 30-day average
• Minimum 5x confirms institutional/retail interest
• High RVol = high liquidity and momentum potential
2️⃣ DAILY % CHANGE ≥10% (Automated ✅)
• Stock must already be showing momentum
• Default threshold: 10% up from previous close
• Confirms demand is already present
3️⃣ NEWS CATALYST (Manual Check ⚠️)
• Breaking news justifies the price movement
• Look for: earnings, FDA approvals, partnerships, contracts
• 🔥 icon flags stocks with ≥15% momentum (likely news-driven)
4️⃣ PRICE RANGE $1-$20 (Automated ✅)
• Sweet spot for retail trader momentum
• Highly volatile small-cap stocks
• Accessible price range for position building
5️⃣ FLOAT <10 MILLION SHARES (Automated ✅)
• Low float creates supply/demand imbalances
• Enables explosive 50-100%+ intraday moves
• Automatically checked when data available
• Shows actual float with ✅/❌ indicator
🚀 KEY FEATURES
✅ GREEN BACKGROUND HIGHLIGHT
• Visual alert when ALL automated criteria are met
• Instantly identify potential setups while scanning watchlist
📋 DETAILED BREAKDOWN TABLE
• Shows pass/fail status for each pillar
• Displays actual values (RVol, %, Float, etc.)
• Color-coded for quick interpretation
🔥 STRONG MOMENTUM INDICATOR
• Highlights stocks ≥15% (likely have news catalyst)
• Helps prioritize which stocks to research first
🔔 BUILT-IN ALERTS
• "Ross Cameron Criteria Met" - All automated criteria pass
• "Strong Momentum Alert" - Stock showing explosive movement
⚙️ FULLY CUSTOMIZABLE
• Adjust all thresholds to your trading style
• Configurable table position and display
• Toggle volume spike filter on/off
💡 HOW TO USE
BEST WORKFLOW:
1. Build a watchlist of small-cap stocks using TradingView's Stock Screener
2. Add this indicator to your charts
3. Flip through your watchlist - look for GREEN BACKGROUNDS
4. Check the table for detailed breakdown of each pillar
5. VERIFY NEWS CATALYST (required for Pillar 3)
6. If float shows N/A, verify manually on Finviz
7. Execute your trading plan with proper risk management
OPTIMAL TIMING:
• Pre-Market (8:00-9:30 AM ET) - Identify gap-up candidates
• Morning Session (9:30 AM-12:00 PM ET) - Prime momentum window
• Avoid lunch hour (12:00-2:00 PM ET) - Low volume, choppy
ALERT SETUP:
1. Click "Create Alert" on your chart
2. Select "Ross Cameron Criteria Met" condition
3. Get notified when new setups appear real-time
⚙️ CUSTOMIZABLE SETTINGS
PILLAR 1 - RELATIVE VOLUME:
• Min RVol: 5.0x (Ross's minimum, increase for more selective)
• RVol Period: 30 days (industry standard)
PILLAR 2 - MOMENTUM:
• Min Daily %: 10% (increase to 15% for stronger setups)
PILLAR 3 - CATALYST:
• Strong Momentum %: 15% (threshold for 🔥 indicator)
PILLAR 4 - PRICE RANGE:
• Min Price: $1.00 (adjust based on account size)
• Max Price: $20.00 (Ross's sweet spot)
PILLAR 5 - FLOAT:
• Max Float: 10M shares (ultra-aggressive traders use 5M)
ADDITIONAL FILTERS:
• Volume Spike: 2x (Warrior Trading standard)
• Confirms intraday momentum continuation
📈 INTERPRETATION GUIDE
✅ GREEN BACKGROUND = GO!
• All automated criteria are met
• Check news catalyst before trading
• Verify setup on chart (not overextended)
• Follow your risk management plan
❌ NO GREEN BACKGROUND = WAIT
• At least one criterion failed
• Check table to see which pillar(s) failed
• May become valid later if momentum increases
🔥 FLAME ICON = HIGH PRIORITY
• Stock showing very strong momentum (≥15%)
• Likely has significant news catalyst
• Research news IMMEDIATELY
• Often the best setups of the day
⚠️ N/A FOR FLOAT = MANUAL CHECK
• TradingView doesn't have float data for this symbol
• Verify on Finviz.com or similar
• If float >10M, setup is invalid per Ross's criteria
📚 RECOMMENDED STRATEGIES
GAP AND GO:
• Stock gaps up 10%+ on news
• Enters above gap high with volume
• Targets: 20-50% gains
VWAP BOUNCE:
• Pullback to VWAP support
• Enters on bounce with volume confirmation
• Tight stop below VWAP
HIGH OF DAY BREAKOUT:
• New HOD with volume surge
• Momentum continuation play
• Trail stop as it runs
ABCD PATTERN:
• Classic reversal pattern
• Enters on D-point breakout
• Target: A-B distance from C
⚠️ RISK WARNINGS
• DAY TRADING IS HIGHLY RISKY - Most day traders lose money
• This indicator finds setups - YOUR EXECUTION determines success
• Always use proper risk management (1-2% risk per trade)
• Never trade without stop losses
• Paper trade extensively before using real money
• Past performance does not guarantee future results
🔧 TECHNICAL DETAILS
• Pine Script v6
• Works on any timeframe (calculates daily metrics automatically)
• Compatible with TradingView Free, Pro, Premium
• No repainting - all calculations based on confirmed data
• Efficient code - minimal lag
📊 DATA SOURCES
• Relative Volume: Calculated from 30-day volume average
• Daily %: Previous day's close vs current price
• Float: TradingView's shares_outstanding_float data
• Volume Spike: 20-period volume moving average
🎯 WHO THIS IS FOR
IDEAL FOR:
✅ Day traders focused on momentum strategies
✅ Traders who follow Ross Cameron/Warrior Trading methodology
✅ Small-cap stock traders ($1-$20 range)
✅ Scalpers and swing traders seeking high-volatility setups
NOT IDEAL FOR:
❌ Long-term investors
❌ Large-cap stock traders
❌ Options-only traders
❌ Traders who don't monitor news catalysts
💬 USAGE TIPS
1. COMBINE WITH OTHER TOOLS
• Use alongside your charting/technical analysis
• Verify pattern setups (bull flags, ABCD, etc.)
• Check Level 2 / Time & Sales for confirmation
2. MAINTAIN A WATCHLIST
• Update daily with fresh small-cap movers
• Use Finviz Gap Scanner as starting point
• Focus on sectors with momentum
3. RISK MANAGEMENT IS KEY
• Never risk more than 1-2% per trade
• Use 2:1 minimum profit/loss ratio
• Cut losses quickly, let winners run
• Position size based on volatility (ATR)
4. TRACK YOUR RESULTS
• Keep a trading journal
• Note which setups work best for you
• Refine criteria based on your data
• Continuous improvement mindset
📝 DISCLAIMER
This indicator is for EDUCATIONAL PURPOSES ONLY. It is not investment advice, a recommendation to buy/sell securities, or a guarantee of profits. Trading involves substantial risk of loss. Always:
• Conduct your own research and due diligence
• Consult with a licensed financial advisor
• Never risk money you cannot afford to lose
• Understand that most day traders lose money
• Practice in a simulator before trading real money
The creator of this indicator is not affiliated with Ross Cameron or Warrior Trading. This is an independent implementation of publicly available trading methodology.
📈 SUPPORT & FEEDBACK
If you find this indicator helpful, please:
• Give it a thumbs up 👍
• Leave a comment with your experience
• Share with other momentum traders
• Follow for updates and new indicators
For questions or suggestions, leave a comment below!
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🏆 HAPPY TRADING! Remember: The indicator finds opportunities, but YOUR discipline, risk management, and execution determine your success.
#DayTrading #Momentum #RossCameron #WarriorTrading #SmallCaps #GapAndGo #Scalping #StockScreener
DMV Volume Volume Radar SIMPLEThis indicator helps identify early signs of accumulation, breakout, and distribution by analyzing relative volume and price action within defined ranges.
It detects:
🔵 ACCUM: High relative volume with buying pressure near support (early accumulation)
🟢 BRK: High relative volume near range high with bullish price action (potential breakout)
🔴 DIST: High relative volume with selling pressure near range high (distribution / potential reversal)
How it works:
Measures relative volume vs. a moving average
Builds a dynamic price range using recent swing highs/lows
Looks for wick behavior + location in range to validate signals
Color-codes candles and adds labels for quick visualization
Optional alert conditions are baked in for automated notifications
Perfect for:
Pre-breakout positioning
Spotting smart-money accumulation
Identifying distribution zones for exits or reversals
Works best on 15m–4h timeframes for crypto and alts
Adaptive Window Volume ProfileThe indicator builds a rolling volume profile over a chosen time window (1, 3, 12 months or lower), finds POC, VAH/VAL, RH/RL, HVN/LVN, and then overlays volume-driven bar colors (climax, initiative, absorption) filtered by a 30-day RVWAP trend, so you can see where big volume traded and who is winning there right now.
Example Use Case:
How to use it on 4H with 3-month and 12-month rolling profiles:
On a 4H chart, you run two copies of the indicator, both in Rolling Lookback mode, both using the Full (Overlap) engine:
Instance A – 12-month rolling profile (macro map):
-Rolling Unit: Months
-Rolling Length: 12
This gives you the 1-year composite:
-12M RH / RL → outer range of where almost all yearly volume traded (macro high/low “rails”).
-12M VAH / VAL → yearly value area: where the market has been comfortable doing business over the last year.
-12M POC → the single most traded price of the last 12 months (macro gravity).
-12M HVNs/LVNs → long-term shelves (acceptance) and gaps (knife-edges).
Use this instance to answer:
Where are we in the last year’s distribution, and are we approaching macro extremes or living in fair value?
-Combine it with the 30-day RVWAP regime the script computes:
-Above RVWAP and RVWAP rising → macro bull tilt.
-Below RVWAP and RVWAP falling → macro bear tilt.
For example:
-Price near 12M RL with RVWAP bull → potential deep-discount accumulation zone.
-Price near 12M RH with RVWAP bear → potential exhaustion / distribution zone.
Instance B – 3-month rolling profile (tactical map)
-Rolling Unit: Months
-Rolling Length: 3
This builds a 3-month composite on top of your 4H chart:
-3M RH / RL → extremes of the current quarter’s trading.
-3M VAH / VAL → current “fair value box” for the last 90-ish days.
-3M POC → where recent volume concentrates most heavily.
-3M HVNs/LVNs → fresh shelves and gaps inside the bigger yearly structure.
You use this instance for actual trade locations and management:
-Pullbacks into 3M VAL / RL that still sit inside the 12M value and in a bull RVWAP regime → high-probability dip-buy zones; you then look for bull initiative/absorption bar colors to confirm entry.
-Rallies into 3M VAH / RH that line up near 12M VAH / RH in a bear RVWAP regime → good areas to look for shorts, especially when you see bear climax/initiative bars there.
-3M LVNs that coincide with 12M LVNs or VA edges act as sharp decision points: acceptance through often means expansion; rejection often means reversal.
How it all fits together
On your 4H chart, with both instances active:
-12M profile = macro context and big terrain (where the yearly battlefield is).
-3M profile = tactical zones (where to actually trade inside that terrain).
-Bar colors (climax / initiative / absorption) filtered by 30-day RVWAP = timing + confirmation at those levels, favoring the side that has trend and effort behind it.
So the indicator, used this way, becomes:
-one instance to tell you where the big war is being fought (12M)
-one instance to tell you where the current campaign inside that war is concentrated (3M)
-bar colors to tell you whether the team you want to back is actually showing up with size when price hits those levels.
Session Range Boxes GR v2.1This indicator draws intraday range boxes for the main Forex sessions based on Europe/Budapest time (CET/CEST).
Tracked sessions (Budapest time):
Asia: 01:00 – 08:00
Frankfurt (pre-London): 08:00 – 09:00
London: 09:00 – 18:00
New York: 14:30 – 23:00
For each session, the script:
Detects the session start and session end using the current chart timeframe and the Europe/Budapest time zone.
Tracks the high and low of price during the session.
Draws a colored box from session open to session close, covering the full price range between the session high and low.
Draws a white midline inside every box at the midpoint between the session high and low (and keeps it visible for all past sessions).
Optionally plots a small label (“Asia”, “Fra”, “London”, “NY”) above the first bar of each session.
Color scheme:
Asia: soft orange box
Frankfurt: light aqua box
London: darker blue box
New York: light lime box
Use this tool to:
Quickly see which session created the high or low of the day,
Highlight important liquidity zones and prior session ranges that price may revisit,
Visually separate Asia, Frankfurt, London and New York volatility profiles on intraday charts.
Optimized for intraday trading (Forex / indices), but it works on any symbol where session behavior and time-of-day structure matter.
Volume Scope Pro - Order Flow Volume Analysis V1.01Volume Scope Pro — Order Flow Volume Analysis
Overview
Volume Scope Pro is a multi-faceted volume analysis indicator that separates volume into buy (up) and sell (down) components to reveal hidden order flow dynamics. It aggregates lower timeframe volume data to estimate buying vs. selling pressure on each bar, calculates the volume delta (buy volume minus sell volume) per bar, and highlights where price action diverges or converges with volume flow. The indicator provides visual output in the form of an on-chart table and chart markers, helping traders identify potential distribution (selling into strength) and absorption (buying into weakness) events, as well as support/resistance zones derived from volume extremes.
Volume Settings
• Global Volume Period – An integer (default 100) defining the shared lookback window (in bars) for all volume-based calculations. This period is used for identifying volume extrema and computing cumulative volume statistics. A larger period considers more history for averages and sums, while a smaller period focuses on recent bars.
• Use Custom Lower Timeframe – A boolean (default true) that lets you override the automatic choice of lower timeframe for volume breakdown. If enabled, the indicator will use the specific lower timeframe you provide (see next setting) to fetch intrabar volume data. If disabled, the script chooses a lower timeframe based on the chart’s resolution (for example, 1-second for second charts, 1-minute for other intraday charts, 5-minute for daily charts, etc.).
• Lower Timeframe – A timeframe input (default 15S, i.e. 15-second intervals) specifying the lower interval to request for up/down volume calculation. This is the resolution at which the script breaks each chart bar’s volume into buying vs. selling volume. Fifteen seconds is the default as it provides a fine-grained intrabar look on most charts. This setting only takes effect if Use Custom Lower Timeframe is true; otherwise, it is ignored in favor of the automatic timeframe resolution.
Table Display Settings
• A dropdown option that adjusts the text size used in the on-chart data table (Tiny, Small, Normal, Large, Huge; default: Tiny). The default Tiny setting is selected because many traders use the indicator on mobile devices where screen space is limited. If you are using a larger display such as a laptop, desktop, or tablet, you may increase the font size to your preference for improved readability.
• Table Font Color – A color picker for the table text (default is a shade of blue, #0068e6). All text in the table will be rendered in this color. You can change it to improve contrast against your chart background or personal preference.
• Time Offset (hours) – An integer offset in hours (default 3) applied to the current time display in the table. This shifts the real-time clock readout from UTC by the specified number of hours in the table’s header. For example, setting 0 uses UTC, while a value of 3 (default) shows local time for UTC+3. Negative values are allowed for time zones behind UTC. This does not affect any calculations – it only adjusts the displayed clock for user convenience.
Trend Line & Pivot Settings
• Pivot Left and Pivot Right – Integers (default 5 each) controlling the sensitivity of pivot high/low detection. A pivot high is identified when the price high of a bar is greater than the highs of the Pivot Left bars to its left and Pivot Right bars to its right. Similarly, a pivot low is a bar whose low is lower than the lows of the surrounding bars on its left and right as defined by these values. Smaller values make the pivots more local and frequent, while larger values require more significant swings.
• Pivot Count – An integer (default 5) specifying the number of recent pivot points to track. The indicator will remember up to this many pivot highs and pivot lows each, and use them for drawing trend lines. When the count is exceeded, the oldest pivot points are dropped to focus on the most recent ones.
• Lookback Length – An integer (default 100) defining the number of bars over which trend lines are extended and within which pivot points are considered relevant. Essentially, this is the length of the window (in bars) in which the detected pivots and their connecting trend lines will be shown. Trend lines will start at the beginning of this lookback window and end at the latest bar, updating as new bars form.
• High Trend Line Color / Low Trend Line Color – Color inputs for the drawn trend lines connecting pivot highs and pivot lows, respectively (both default to orange #ff7b00). High trend lines typically slope downwards (connecting recent highs), and low trend lines slope upwards (connecting recent lows). You can change these colors to visually distinguish the two or to fit your chart theme.
• Trend Line Thickness – An integer (default 2) setting the stroke width of the pivot trend lines. Higher values make the lines thicker and more prominent.
• Trend Line Style – A string option (default dashed, options: solid, dashed, dotted) determining the line style for both high and low trend lines. For example, choosing “dotted” will draw the trend lines as a series of dots. This purely affects the appearance and has no impact on calculations.
Support/Resistance (S/R) Zone Settings
• SR Lookback Length – An integer (default 100) that defines how many completed bars are scanned for support/resistance zone detection based on volume extrema. The indicator examines this many bars behind the latest bar (the current bar is excluded to avoid repaint issues) to find extreme buying and selling volume points that form the zones. A larger value means a longer historical window for finding significant volume-based zones.
• Projection Bars – An integer (default 26, range 0–200) specifying how far into the future to extend the S/R zone lines. When set above 0, the horizontal lines marking the zones will project to the right of the latest bar by the given number of bars. This helps anticipate where the zones lie ahead of current price. A value of 0 confines the zone markings to past bars only.
• Resistance Zone Color / Support Zone Color – Color inputs for the drawn zones identified as resistance and support (defaults are red for resistance and teal for support). These colors apply to both the zone’s border lines and its background fill (with adjustable transparency, see below).
• Resistance Line Width / Support Line Width – Integers (default 2 each, range 1–5) setting the line thickness for the top and bottom boundaries of the resistance zone and support zone, respectively. For example, if Resistance Line Width is 3, the drawn lines at the top and bottom of the resistance zone will be thicker than the default.
• Resistance Fill Transparency / Support Fill Transparency – Integers in percentage (default 90 each, range 0–100) controlling the opacity of the colored shading that fills the zone area. 0% means fully opaque (solid color fill), and 100% means fully transparent (no fill color). The default of 90% is very transparent, just lightly coloring the zone area for subtlety. Adjust these to highlight the zones more prominently or to make them nearly invisible, depending on preference.
Overbought/Oversold (OB/OS) Voting Settings
• Enable OB/OS Voting – A boolean (default true) that turns on the overbought/oversold “voting” module. When enabled, the indicator evaluates standard technical indicators (RSI, Stochastic, CCI, etc.) to determine if the market is overbought (OB) or oversold (OS). Each indicator contributes an OB or OS “vote” based on its classic threshold (for example, RSI > 70 is an OB vote, RSI < 30 is OS). The module aggregates these votes to identify consensus extreme conditions.
• Enable Volume Confirmation Filter – A boolean (default true) that requires volume confirmation for OB/OS signals. If enabled, an overbought condition will only be confirmed if there is unusually high sell volume at the same time, and an oversold condition will only confirm with unusually high buy volume. In practice, this means even if indicators vote OB/OS, the script will only mark it as confirmed when volume is spiking in the opposite direction of price (signaling distribution for OB or absorption for OS). This filter helps ensure that OB/OS signals align with significant volume imbalance, indicating potential involvement of larger market participants.
• Enable Dynamic ATR Threshold – A boolean (default true) that adjusts the overbought/oversold trigger threshold dynamically based on volatility (ATR). When true, the voting threshold or confirmation conditions may be eased or tightened depending on recent volatility, as measured by the Average True Range. In higher volatility environments, this can prevent premature OB/OS signals by requiring more extreme indicator readings.
• Enable OB/OS Sync Window – A boolean (default true) that allows an OB or OS condition to remain valid for a short window of bars. If enabled, once an OB or OS state is triggered, it can persist for a user-defined number of bars (see Bars for Hit Sync Window) even if not all indicators remain in agreement every single bar. This helps to capture a cluster of OB/OS signals as one event rather than flickering on and off.
• Volume Average Period – An integer (default 3) specifying how many recent bars of volume to average when determining “unusually high” volume for confirmation. The script calculates the average buy volume and sell volume over this many bars; then the Volume Spike Ratio inputs (below) are applied to decide if current volume is significantly above average. For example, with a period of 3, the buy/sell volume of the last 3 bars are averaged to use as a baseline.
• Minimum Vote Count for OB/OS – An integer (default 3) setting the minimum number of indicators that must agree on overbought or oversold to consider it a valid signal. If fewer than this number signal OB (or OS) at the same time, the condition is ignored. A higher threshold makes the OB/OS signal rarer but more robust (requiring broader agreement among indicators).
• Bars for Hit Sync Window – An integer (default 1) controlling the size of the synchronization window (mentioned above) in bars. If an OB/OS condition is identified, it remains “active” for this many subsequent bars, allowing slightly delayed volume confirmation or indicator agreement to still count as part of the same event. For example, with a value of 2, if an OB signal occurs on one bar and the volume spike confirmation happens on the next bar, the module will treat it as a continuous event and still flag it.
• ATR Adjustment Factor – A float (default 14, step 1.0) used when Dynamic ATR Threshold is enabled. This factor influences how much ATR-based volatility adjustment is applied to the OB/OS vote threshold or confirmation criteria. A larger number might increase tolerance in volatile conditions. (Note: 14 here likely corresponds to an ATR period internally, not a direct multiplier of ATR value. It effectively adjusts sensitivity but does not need frequent change.)
• Overbought: Sell Volume Spike Ratio – A float (default 1.5) that sets the multiple of average sell volume required to confirm an Overbought condition. If the current sell volume is at least this factor times the recent average sell volume (over the Volume Average Period), and indicators are signaling OB, then an Overbought state is confirmed. For instance, the default 1.5 means sell volume must be 150% or more of its average to validate an OB signal. This ensures that an overbought label is only shown when there’s evidence of heavy selling (distribution) accompanying the price being overbought.
• Oversold: Buy Volume Spike Ratio – A float (default 2.0) setting the multiple of average buy volume required to confirm an Oversold condition. With the default 2.0, the current buy volume needs to be at least 200% of its recent average for an OS signal to confirm. This indicates strong buying interest (absorption) when price is in an oversold state. Typically, oversold conditions with significant buy volume could precede upward reversals.
• Source – A price source input (default close) for OB/OS calculations. This is the series value passed into the 20 indicator calculations (RSI, Stoch, etc.). By default it uses closing price, but advanced users can change it (for example, to an HLC3 or other composite) if desired. Generally, leaving it as close is standard.
Indicator Calculations and Logic
Volume Data Aggregation and Delta Calculation
At the core of Volume Scope Pro is the separation of total volume into up-volume (buying) and down-volume (selling) on each bar. This is achieved by requesting lower timeframe data using TradingView’s built-in requestUpAndDownVolume() function. Specifically, for each chart bar, the script gathers volume from a lower timeframe interval (e.g., 15-second bars) that fits within the higher timeframe bar. It sums the volume of all lower-TF sub-bars where price moved up (buy volume) vs. down (sell volume), providing an estimate of how much of the volume was transacted at the ask (buys) versus at the bid (sells). The resulting values are stored as upVolume and downVolume for the current bar, and the volume delta is computed as deltaVolume = upVolume – downVolume. By default, the script ensures upVolume and downVolume are treated as absolute magnitudes, while deltaVolume can be positive or negative indicating net buy or sell dominance.
If Use Custom Lower Timeframe is disabled, the indicator automatically chooses an appropriate lower timeframe based on the chart’s resolution. This adaptive logic uses 1-second intervals for charts in seconds, 1-minute for intraday minutes, 5-minute for daily charts, and 60-minute for anything higher, ensuring that up/down volume can be computed across various chart periods. If even finer resolution is needed or the user prefers a specific timeframe (e.g., 15S), enabling the custom option allows that override.
Coverage:
Because not all historical bars will have lower timeframe data available (especially if looking far back or on certain assets/timeframes), the script tracks how many bars actually received a valid up/down volume calculation. Each bar with non-na deltaVolume is counted toward a coverage total . This coverage count is displayed in the table (as “Coverage: X Bars”) to inform the user how many bars in the dataset had full volume breakdown data. It also serves a technical purpose: certain moving averages or calculations are “gated” to only output values when enough data points exist. For example, a 20-bar average of buy volume will not be shown until at least 20 bars with volume data are present; until then it returns NA to avoid misleading results. This gating mechanism is implemented via helper functions that check coverage before computing moving averages or sums. In practice, if you apply the indicator to a fresh chart or after changing the lower timeframe setting, you may see “NA” placeholders for some values until sufficient bars accumulate.
Volume Averages and Recent Change Indicators
For both buy and sell volume, the script computes short-term and medium-term averages to contextualize the current bar’s activity. Specifically, it calculates a 3-bar simple moving average and a 20-bar simple moving average of upVolume and downVolume (these lengths are fixed and chosen to represent a fast vs. slow window). These averages are shown in the table to compare against the current volume:
• The “Buy Current Amount” is the current bar’s buy volume, shown in an engineered format (e.g., 1.25K for 1,250) for readability. Directly below it (in the same cell via a newline) is “Avg : (3 | 20)”, which lists the 3-bar average buy volume and 20-bar average buy volume. Each average value is followed by an arrow marker:
an upward arrow 🔼 means the current buy volume is higher than that average, whereas a downward arrow 🔻 means the current buy volume is lower than that average. These markers give a quick visual cue – for instance, a 🔼 next to the (3) average indicates a volume spike in the very short term (current bar’s buy volume exceeds the recent 3-bar norm). If not enough data exists to compute an average, “NA” is displayed with the window in parentheses (e.g., “NA (20)” if fewer than 20 bars of coverage). The same format is used for Sell volume, where “Sell Current Amount” is the current bar’s sell volume with its own 3-bar and 20-bar averages and markers.
In addition to the short/medium term averages, the script also computes a “global” average buy volume and sell volume over the full Global Volume Period (using a slightly different approach). It first finds the proportion of buy vs sell over that window (summing all upVolume and downVolume over L = Global Volume Period bars) and then multiplies that ratio by the average total volume on the chart timeframe. This yields an implied average buy volume and sell volume for the global window (taking into account that the chart’s own volume may differ from summed LTF volume due to how the LTF data is sampled). These global averages are used internally (for example, in the OB/OS volume filter logic) but are not explicitly printed in the table. Instead, the table provides a more direct insight: the Positive Δ Sum and Negative Δ Sum (explained later) show accumulated buying vs selling pressure over the lookback period.
Price and Volume Trend Convergence/Divergence
Volume Scope Pro analyzes the short-term and medium-term trends of price and volume to identify convergence or divergence between price movement and buy/sell activity. This is done by calculating the angle of linear regression (slope in degrees) for price and for volume over the same two windows (3 bars and 20 bars). In essence, it fits a line through the last 3 closes and measures its angle, and similarly fits lines through the last 3 buy-volume values, last 3 sell-volume values, and repeats for 20 bars. The angles for price vs. volume are then compared:
• For the buy side, the indicator computes the price angle (θ) over 3 bars and 20 bars, and the buy-volume angle over 3 and 20 bars. These are displayed in the table under a “Buy Volume Trend” row. For example, it might show: “Price θ: 12.5° (3) | 5.0° (20)” on one line and “BuyVol θ: 8.0° (3) | 2.0° (20)” on the next. Each angle is given in degrees (θ symbol) with one decimal precision. A positive angle means an uptrend (price or volume increasing), and a negative angle means a downtrend over that window.
• After listing the angles, a convergence/divergence label is shown for each window: either Convergent or Divergent for the 3-bar window and similarly for the 20-bar window. This indicates whether price and buy volume are moving in the same direction (convergent) or opposite directions (divergent). For instance, if price’s 3-bar trend is up (positive slope) but buy-volume’s 3-bar trend is down (negative slope), that would be Divergent (3), signaling a short-term anomaly (price rising on falling buy volume). Conversely, if both price and buy volume are rising together over 20 bars, that shows Convergent (20), indicating buy volume is supporting the uptrend. These convergence/divergence labels help identify potential early warning signs: divergence may precede a reversal or indicate that an observed price move lacks volume support.
The same analysis is done for the sell side. The table’s “Sell Volume Trend” row lists “Price θ: ... | ...” and “SellVol θ: ... | ...” for 3 and 20 bars , followed by labels showing whether price vs. sell volume trends are convergent or divergent over those periods. For example, if price is trending down (negative angle) while sell volume is also trending down, they are Convergent (both indicating selling pressure in line with price drop). If price is falling but sell volume trend is up, that’s Divergent – price decrease accompanied by increasing sell volume could indicate aggressive selling (potential capitulation or acceleration of downtrend). On the other hand, price falling with decreasing sell volume might suggest selling is drying up (potential for a bottom). These nuances can be gleaned from the convergence/divergence outputs.
All angle calculations use a normalized linear regression slope converted to degrees for easy interpretation. The use of a short (3) and longer (20) window provides a quick glance at immediate vs. recent trend alignment. In the table, the angles and convergence labels are organized in two lines for buy and two lines for sell to clearly separate the information.
Volume Delta and Cumulative Delta Sums
The Volume Delta (Δ) for the current bar is a key metric showing the net difference between buy and sell volume. In the table, it appears as a single-line entry like “Delta: 5.2K” (for example) in the volume delta row. The value is formatted with K/M/B suffix if large, and it is colored green if positive (indicating net buying pressure) or red if negative (net selling pressure), with a neutral color if essentially zero. This coloring provides instant visual feedback: a green Delta means buyers dominated that bar, whereas a red Delta means sellers dominated. The delta number itself helps gauge the magnitude of that dominance. For instance, “Delta: 1.5M” in green would signify a very large imbalance of buying volume on that bar. This row gives a per-bar order flow insight complementing the price action of the candle.
To assess the broader context, the indicator also computes cumulative delta sums over the Global Volume Period. It separately accumulates all positive delta values and all negative delta values within the lookback window (e.g., 100 bars). The results are shown in the table as two lines: Positive Δ Sum and Negative Δ Sum, each followed by a number. These represent the total volume imbalance accumulated in each direction over the window. For example, a Positive Δ Sum of 20K means that, summing all bars in the window where buy > sell volume, buyers were ahead by a total of 20,000 volume (volume units) in that period. Similarly, a Negative Δ Sum of 15K would mean sellers were ahead by 15,000 volume in other bars. These sums give a sense of who is in control over the recent horizon: if Positive Δ Sum greatly exceeds Negative Δ Sum, the market has seen net accumulation (buying) in the lookback; if the reverse, net distribution (selling). The values are shown in a neutral text color (since they are not inherently “good” or “bad”) and are formatted with K/M suffixes as needed. They can help confirm trends or identify subtle shifts – for instance, if price is flat but Positive Δ Sum is growing rapidly, it might indicate stealth accumulation even without price movement.
Support/Resistance Zone Detection from Volume Extremes
Volume Scope Pro identifies key support and resistance areas by analyzing how volume behaved in recent price movements. Zones are derived from points where buying or selling activity became unusually strong or unusually weak—areas that often act as reaction levels in future price action.
A high-activity region is highlighted as a Resistance Zone, showing where strong participation previously slowed upward movement.
A low-activity region forms a Support Zone, indicating price levels where the market tended to stabilize or absorb pressure.
These zones are displayed as horizontal regions projected forward on the chart, with customizable colors and styling. Their upper and lower boundaries are shown in the on-chart table, where the indicator also notes whether each zone currently acts as support or resistance based on price position.
🟥 Resistance Zone based on
Buy/Sell Amount: 1.2345 ~ 1.2500
This indicates a resistance zone between roughly 1.2345 and 1.2500 (the bottom and top of that zone). “Buy/Sell Amount” here refers to the fact that this zone was computed from extreme buy/sell volume events, and the values are the zone’s price range. Likewise, a support zone line would be prefixed with 🟩 and show its range. These zones give a unique volume-based perspective on support and resistance, complementing traditional price-based levels.
Pivot-Based Trend Lines
The indicator draws adaptive trendlines by tracking recent swing highs and swing lows. Whenever the market forms meaningful pivots, the tool connects these points to outline the active upward and downward trend structure. A line drawn through recent highs generally acts as a dynamic resistance guide, while a line drawn through lows often behaves as a rising support boundary.
As market structure evolves, the trendlines update automatically, keeping the analysis aligned with the most recent swings. The color, thickness, and style of these lines are fully customizable. At any moment, you may see one line tracking the upper structure and one line tracking the lower structure, helping identify potential breakout areas or trend-channel behavior without manual drawing.
Overbought/Oversold Voting and Volume Signals
Volume Scope Pro includes an Overbought/Oversold engine that evaluates market exhaustion by combining technical momentum signals with real volume behavior. Instead of relying on a single indicator, the system draws from a broad set of classical oscillators, creating a multi-layer confirmation approach.
The tool aggregates signals from a group of well-known indicators and identifies when several of them simultaneously reach extreme levels. When enough of these indicators align, the condition is considered overbought or oversold. To refine these readings, an optional volume filter checks whether buying or selling pressure is unusually strong at the same time.
• Overbought (OB) is highlighted only when technical exhaustion coincides with elevated sell volume.
• Oversold (OS) appears when oversold readings align with strong buy volume.
When confirmed, the indicator places clear visual markers on the chart:
• OB – potential topping conditions supported by heavy selling.
• OS – potential bottoming conditions supported by strong buying.
• Distribution (↑P ↑S) – price rising while selling pressure increases.
• Absorption (↓P ↑B) – price falling while buyers absorb the move.
• Combined signals (OB+DIST or OS+ABS) highlight the strongest forms of exhaustion.
These markings help traders quickly recognize areas where momentum is fading and volume behavior becomes important. While they do not predict exact turning points, they often appear during phases where the market prepares for a shift, consolidation, or slowing trend.
Usage Notes and Interpretation
Volume Scope Pro provides a detailed view into the internal dynamics of market volume, which can greatly aid analysis when used appropriately. Here are some important considerations and best practices:
• Data Availability (Coverage): The accuracy and utility of this indicator depend on the availability of lower timeframe data for the instrument. On very high timeframe charts (weekly/monthly) or illiquid symbols, the automatic lower timeframe (like 1 minute or 5 minutes) might not retrieve full historical intrabar data, resulting in limited coverage. This is indicated in the “Coverage: X Bars” readout. If coverage is low, many of the volume-based values (especially 20-bar averages or global sums) may show “NA” or be unrepresentative until more data accumulates. It’s often best to use this indicator on active symbols and reasonable timeframes (e.g., 1h, 4h, 1D with a few months of data or lower) to ensure plenty of sub-bar data is available. If needed, you can reduce the Global Volume Period to focus on a smaller window that has full coverage, or experiment with a different Lower Timeframe that might have more data available (for example, using 1min instead of 15s on very long histories).
• Interpreting Volume Delta and Trends: A key value to watch is the Delta (Δ) and how it changes. For instance, if price is making new highs but Δ is decreasing or negative, it indicates bearish divergence – fewer buyers are supporting the move, or sellers might be increasingly active (distribution). Conversely, price making new lows while Δ becomes less negative or turns positive is a bullish divergence, implying sellers are exhausting and buyers are stepping in (absorption). The convergence/divergence rows quantitatively highlight these situations. Use them as alerts to investigate further rather than automatic trade signals. For example, a divergent 20-bar trend (price up, buy volume down) doesn’t mean price will immediately reverse, but it does warrant caution as the rally may be on weak footing.
• Support/Resistance Zones: The volume-derived S/R zones offer levels that might not be obvious from price alone. They often pinpoint areas where the tug-of-war between buyers and sellers was most extreme (resistance zone) or where the market had a lull in volume (support zone). Treat these zones as you would conventional support/resistance: price may react when revisiting them. A common use is to watch how price behaves upon approaching a highlighted zone – for instance, if price rallies into a red resistance zone and you see volume delta start to flip negative, it could strengthen the case that the zone is indeed acting as resistance due to renewed selling. The zones update once a new volume extreme enters or exits the lookback window, so they are relatively static during most recent price action, shifting only when a significantly larger volume spike happens or the oldest bar in the window moves out. They are also non-repainting for completed bars (the algorithm excludes the current bar for zone calculation to avoid repaint issues). Keep in mind these zones are horizontal areas; they do not guarantee a reversal, but they mark where supply or demand was notably strong in the past, which is useful context.
• Trend Lines and Pivots: The automatic trend lines drawn from pivot highs and lows can help visualize short-term price channels or triangles. They update in real-time as new pivots form. Use them as guidance for potential breakout or breakdown levels – e.g., if price breaks above a descending high line, that could indicate a bullish breakout from the recent down trend. The pivot detection sensitivity (Pivot Left/Right) can be tuned: higher values will only draw lines across more significant swings, whereas lower values will catch minor swings too. Adjust according to the volatility of the asset (more volatile assets might need larger pivot settings to filter noise). The trend lines are an auxiliary feature in this volume tool, meant to save time drawing those lines manually for recent swings. They work best when recent pivots are clear; in choppy conditions with many equal highs/lows, you might see the lines adjust frequently.
• OB/OS Voting Signals: The overbought/oversold markers (OB, OS, distribution, absorption) are perhaps the most actionable signals from this script, but they should not be used in isolation. They effectively combine momentum and volume analysis. A prudent approach is to confirm these signals with price action or other analysis:
• An “OB” (Overbought) marker suggests a probable short opportunity or at least to be cautious with longs. When you see OB, check if it aligns with other factors: Is price at a known resistance or a volume zone? Is there a bearish candlestick pattern? Multiple OB signals in a cluster (with or without “DIST”) could indicate a topping process – you might wait for price to start rolling over before acting.
• An “OS” (Oversold) marker points to a potential long opportunity or caution with shorts. Look for confluence such as the price being at a support zone, a bullish divergence in delta, or a reversal candle. Sometimes one OS by itself might just lead to a small bounce in an ongoing downtrend, but a series of OS/ABS signals could mark a accumulation phase.
• Distribution (↑P↑S) and Absorption (↓P↑B) markers can appear even without full OB/OS votes. These warn of stealthy behavior: e.g., Distribution triangles showing up during a steady uptrend might precede larger profit-taking drops. Absorption triangles in a downtrend might precede a relief rally. They are early warnings – pay attention if they start to cluster or coincide with known S/R levels.
• The combined labels OB+DIST and OS+ABS are stronger alerts since they mean both the indicators and volume are screaming extreme. These are relatively rarer; when they appear, the likelihood of at least a short-term reversal is higher. Still, disciplined risk management is essential as markets can remain overbought/oversold longer than expected.
• No Guarantees & Context: It’s important to emphasize that none of these outputs guarantee a price will move in a certain direction. They highlight conditions that historically often precede moves. Volume Scope Pro should be used as an informational tool to augment your analysis. For example, you might use it to confirm a breakout (volume delta turning strongly positive on a price break) or to spot divergence (price making a new high but Δ Sum not increasing). Always consider the broader context: trend direction, higher timeframe signals, fundamental news, etc. A bullish signal in a strong downtrend may only yield a minor correction, and a bearish signal in a roaring uptrend might just be a pause.
• Avoiding Over-Optimization: The indicator comes with many inputs. It might be tempting to tweak them frequently, but it’s recommended to start with defaults and adjust only if you understand the effect. For instance, if you increase Minimum Vote Count for OB/OS, you’ll get fewer but more conservative signals – you might miss early warnings. Changing Volume Spike Ratios alters how sensitive the volume filter is – lower ratios give more signals (even on modest volume rises) but risk false alarms. Use these settings to tailor the indicator to the asset or timeframe (e.g., a very high-volume asset might justify a higher spike ratio). The defaults have been chosen to suit a wide range of scenarios reasonably well.
• Performance and Chart Load: Volume Scope Pro does heavy processing by requesting a lower timeframe and calculating many values. On some platforms, loading this indicator might be slightly slower or consume more memory. It’s invite-only and not open-source, which means the calculations happen behind the scenes. If you experience any slowness, you can try using a less granular lower timeframe (e.g., 1min instead of 15s) or reduce the Global Volume Period to lighten the load. Generally it runs efficiently, but be mindful if stacking it with many other complex indicators.
In summary, Volume Scope Pro provides a set of volume-centric insights: from basic buy/sell volume split and delta, to trend alignment, to volume-profile S/R levels, to multi-indicator OB/OS warnings with volume validation. It adheres strictly to providing factual, data-driven information with no predictive guarantees. Traders can utilize this tool to observe where large buyers or sellers might be operating (“smart money”), detect when volume behavior contradicts price (a sign of potential reversals), and identify hidden support and resistance zones. All these pieces of information, when combined with sound strategy and risk management, can improve decision-making. Always remember to use this indicator as one part of a comprehensive analysis.
