Volume $ Spike Alert - Mustang AlgoVolume $ Spike Alert - Mustang Algo📊 Overview
Advanced volume analysis indicator that detects significant dollar volume spikes and generates intelligent buy/sell signals. Designed for traders seeking to identify institutional activity and potential market turning points through volume analysis.🎯 Key FeaturesDual Detection Modes
Absolute Threshold: Triggers alerts when volume exceeds fixed billion-dollar thresholds
Ratio vs Average: Detects spikes relative to historical moving average
Combined Mode: Uses both methods for maximum sensitivity
Smart Trading Signals
Auto Mode: Follows trend momentum (high volume + green = buy, red = sell)
Contrarian Mode: Identifies potential reversals (extreme volume = opposite signal)
Manual Modes: Force all signals as buy or sell based on your strategy
Visual Components
Color-coded volume histogram (Normal/Alert/Extreme levels)
Buy/Sell triangle markers on price chart
Moving average overlay for context
Real-time summary table with key metrics
📈 Use Cases
Institutional Activity Detection: Spot when big money enters/exits positions
Breakout Confirmation: Validate price moves with volume support
Reversal Identification: Extreme volume often marks tops/bottoms
Day Trading: Real-time alerts for volume-based entries/exits
⚙️ Customizable Parameters
Alert thresholds (billions $)
Moving average period (5-200)
Ratio multipliers for dynamic detection
Signal type selection
Display options for all visual elements
🔔 Built-in Alerts
Volume spike alerts (standard & extreme)
Buy signal alerts
Sell signal alerts
All alerts include ticker and volume data
💡 Trading Tips
Combine with price action for confirmation
Extreme volume + divergence = potential reversal
Use ratio mode for adaptive thresholds across different market conditions
Monitor the ratio value - above 5x average is significant, 10x+ is extreme
📝 Default Settings
Alert Threshold: $7.5 billion
Extreme Threshold: $9.0 billion
MA Period: 50 days
Alert Ratio: 5x average
Extreme Ratio: 10x average
Volume Indicator
OffTheCharts SCOPEOffTheCharts SCOPE is a market structure and supply and demand analysis indicator designed to help traders read price objectively, identify meaningful areas of interest, and understand directional bias without clutter, prediction, or signal-based noise.
The indicator automatically maps supply zones, demand zones, trigger zones, break of structure events, and presents a live dashboard that summarizes current market context in real time. Its purpose is not to tell traders what to buy or sell, but to help them understand where price is reacting, where participation matters, and how structure is developing across timeframes.
Supply zones represent areas on the chart where selling pressure previously caused price to move down aggressively. These zones are identified from confirmed swing highs that occurred with sufficient market participation. When price revisits a supply zone, that area often behaves as resistance, meaning selling interest may return.
Demand zones represent areas on the chart where buying pressure previously caused price to move up aggressively. These zones are identified from confirmed swing lows that occurred with sufficient market participation. When price revisits a demand zone, that area often behaves as support, meaning buying interest may return.
Each supply and demand zone contains a Trigger Zone, abbreviated as TZ. The Trigger Zone is the midpoint of the zone. It is not a trade signal and not an entry trigger. The Trigger Zone exists as a reference level within the zone where reactions, acceptance, or rejection often become clearer. It helps define where the most meaningful decisions occur inside a zone rather than focusing only on the extreme edges.
Break of Structure, abbreviated as BOS, marks a confirmed structural change in the market. A bullish Break of Structure occurs when price breaks above a supply zone, indicating that prior selling pressure has been overcome. A bearish Break of Structure occurs when price breaks below a demand zone, indicating that prior buying pressure has failed. When a Break of Structure occurs, the original zone is removed and replaced by a fixed structure marker that stops at the exact bar where the break happened. This prevents zones from extending indefinitely after they are no longer valid.
Zones are filtered using Relative Volume, abbreviated as RVOL. Relative Volume compares the volume at the pivot candle where a zone is created to the average volume over a user-defined lookback period. If volume participation does not meet the minimum threshold, the zone is not drawn. This helps reduce noise and avoids zones formed during low participation or thin trading conditions. Zones that meet the Relative Volume threshold can optionally be tagged as High Volume, abbreviated as HV, to visually highlight areas formed during strong participation.
Each supply and demand zone is assigned a Strength score ranging from zero to one hundred. Strength is a quality metric, not a prediction. It is calculated using the relative volume at the time the zone was created, the number of times price has touched the zone, and the number of clean rejections away from the zone. Zones formed with higher participation and clean reactions tend to score higher. Zones that have been repeatedly touched or show weak follow-through tend to score lower.
The dashboard brings all of this information together into a single, real-time summary.
Bias displays the current directional context of the market based on the selected bias engine.
Confidence describes how complete that bias is based on available confirmations from structure, position, and break conditions.
Active Zone identifies which zone is currently most relevant to price. Priority is given to the zone price is currently inside. If price is not inside a zone, the nearest Trigger Zone is used instead. Active Zone displays whether Supply or Demand is active and includes the strength percentage of that zone.
Nearest Trigger Zone shows the distance from current price to the closest Trigger Zone. Distance can be displayed in points, ticks, or percentage depending on user preference.
The indicator includes two bias engines.
Classic Bias uses price position relative to Trigger Zones combined with basic market structure alignment. It is intended for general market context, directional awareness, and broader trend framing.
Sniper Bias is a stricter confirmation-based engine that follows an Anchor, Direction, and Break sequence. Anchor refers to where price is positioned relative to Trigger Zones. Direction refers to market structure based on higher highs and higher lows for bullish structure or lower highs and lower lows for bearish structure. Break refers to confirmation via a Break of Structure. When strict mode is enabled, all three conditions must be present for a bias to be considered confirmed.
The dashboard also displays whether price is currently inside a supply or demand zone, how many active zones are present, the current Relative Volume filter state, and the exact price levels of the most recent Trigger Zones.
How to use this indicator.
Begin by identifying supply and demand zones on your chart. Supply zones above price represent potential resistance areas. Demand zones below price represent potential support areas.
Next, use the dashboard to understand context. Review the current bias and confidence level. Identify which zone is marked as the Active Zone and note its strength. Observe how far price is from the nearest Trigger Zone.
Do not assume that a zone will automatically hold. Allow price to interact with the zone. Clean reactions, strong rejections, or confirmed Break of Structure events provide information about intent. Choppy or overlapping price action inside a zone suggests that patience is required.
Use the Trigger Zone as a reference level inside the zone. Reactions near the Trigger Zone often provide clearer information than reactions at the extreme edges alone.
This indicator is not designed to be used as a standalone trade signal. It is designed to provide structure, context, and situational awareness so trades can be planned with confirmation, risk management, and alignment with a broader strategy.
Settings guide.
Swing High and Swing Low Length controls how sensitive the indicator is when detecting pivots. Lower values produce more zones and more frequent structure changes. Higher values produce fewer zones that tend to be more significant.
ATR Length controls how volatility is measured. ATR stands for Average True Range. It measures how much price typically moves over a given period. In this indicator, ATR is used to scale zone width so zones adapt naturally to different market conditions. Higher ATR values result in wider zones. Lower ATR values result in narrower zones.
Zone Width controls how thick supply and demand zones are relative to ATR. Increasing this value creates wider zones. Decreasing it creates tighter zones.
Extend Right controls how far zones are visually projected into the future. This does not predict price movement. It only determines how long zones remain visible on the chart.
Relative Volume settings control how strict the participation filter is. A higher threshold requires stronger volume to create zones. A lower threshold allows more zones to appear.
Bias settings allow switching between Classic Bias and Sniper Bias. Sniper Bias can be used with strict confirmation enabled for higher-quality alignment.
Visual and dashboard settings allow customization of colors, layout, and displayed information without affecting core logic.
Trade design and intended use.
OffTheCharts SCOPE is designed primarily for intraday, short-term swing, and structure-based trading. It is well suited for traders who plan entries around support and resistance behavior, confirmation-based reversals, continuations, and break-and-retest scenarios. It can be used on lower timeframes for intraday context and on higher timeframes to define larger structural zones that guide execution on lower charts.
This indicator is not designed for high-frequency scalping, fully automated trading systems, or buy-and-hold portfolio management. It is a discretionary analysis tool intended to support decision-making, not replace it.
How to use OffTheCharts SCOPE in practice
A simple workflow is to first identify where price is trading relative to supply and demand zones. Next, check the dashboard to understand the current bias and confidence. Then observe how price behaves as it approaches or interacts with the Active Zone or Trigger Zone. Strong reactions, clean rejections, or confirmed Break of Structure events provide information about continuation or failure. Trades should be planned using confirmation, risk management, and alignment with your own strategy rather than assumption.
Notes on toggles and customization
Toggles and visual settings are provided for clarity and personal preference. Enabling or disabling visual features such as swing labels, zigzag lines, or dashboard elements does not change the underlying logic of zone creation or structure detection. Bias mode selection changes how directional context is evaluated but does not alter where zones or Trigger Zones are drawn.
Final notes and disclaimer.
This indicator is provided for educational and analytical purposes only. It does not provide buy or sell signals and does not constitute financial advice. All trading involves risk, including the potential loss of capital. Users are responsible for confirming analysis, managing risk, and following their own trading plans.
OffTheCharts SCOPE is built to emphasize structure, participation, and patience. Its goal is to help traders focus on where price matters and how the market is behaving, not to predict what price will do next.
nPOC LevelsnPOC Levels (Daily, Weekly, Monthly): Naked Point of Control Indicator
Discover the hidden magnets of the market with nPOC Levels, a premium TradingView indicator that automatically detects and plots Naked Points of Control (nPOC) from previous Daily, Weekly, and Monthly periods. These untouched volume-based levels—where the highest trading activity occurred in a prior period but price has not yet revisited—act as powerful attractors, often serving as strong support/resistance zones or high-probability price targets that draw the market back with significant momentum.
Key Features:
Multi-Timeframe nPOC Detection : Seamlessly identifies and displays Naked Points of Control across Daily, Weekly, and Monthly timeframes, giving you a complete view of institutional-grade volume profiles without manual calculation.
Naked Level Emphasis : Only plots nPOCs that remain untouched (naked), highlighting the most potent levels where accumulated volume imbalances create magnetic pull. Once price revisits and "closes" the level, it automatically hides to keep your chart focused on active, high-conviction zones.
Volume-Driven Market Logic : Built on proven volume profile principles—naked POCs represent fair price areas the market left inefficiently, often triggering strong reactions, reversals, or continuation moves when price returns to "fill" them.
Full Customization & Alerts : Adjust visibility per timeframe, colors, line styles, extensions, and set proactive alerts for when price approaches these critical nPOC zones—perfect for precise entries and risk management.
Ideal for volume profile traders, order flow enthusiasts, and multi-timeframe strategists, nPOC Levels reveals where smart money left unfinished business, helping you anticipate major turning points and liquidity grabs with exceptional clarity.
For an even more powerful setup, combine nPOC Levels with the Daily Levels , Weekly Levels , and Monthly Levels indicators to align volume-based magnets with price-based untouched close sequences—creating unmatched confluence for high-probability trades across all market conditions.
Ready to trade the levels institutions target? Add nPOC Levels to your charts today and start capitalizing on the market's strongest hidden attractions!
Institutional Flow X-Ray [Blk0ut]Introduction
In the world of quantitative trading, volume is often described as the "fuel" of the market. However, standard volume bars have a major flaw: they show you how much changed hands, but they don't tell you who was in control.
The Institutional Flow X-Ray is designed to solve this opacity problem. It looks "under the hood" of every candle to visualize the intent of the Smart Money participants. By combining Volume Price Analysis (VPA), Wyckoff Logic, and Volatility Compression into a single interface, this tool helps traders identify when institutions are quietly accumulating positions (Absorption) before a major expansion occurs.
How It Works: The Logic
This indicator is not a simple moving average crossover. It aggregates four distinct quantitative models into one composite view:
1. Institutional Flow (The Histogram) Instead of just looking at whether price closed up or down, we calculate the "Intra-Bar Delta." We measure where the price closed relative to the high-low range of that specific candle, weighted by the volume.
• The Result: A smoothed momentum oscillator that reveals the internal strength of the trend.
• Gradient Coloring: The bars use a 4-color gradient system. Bright Green/Red indicates accelerating momentum, while Darker Green/Red indicates exhaustion or a pullback is likely.
2. Stealth Absorption (The "Gold" Signal) This is based on Wyckoff’s Law of Effort vs. Result. The script scans for a specific anomaly: Volume is significantly higher than average (>2.0x), but Price Range is significantly lower than average.
• Why this matters: When you see high volume but no price movement, it often means a large entity is absorbing all available liquidity (Iceberg Orders). These bars are painted GOLD.
3. Volatility Compression (The "Squeeze" Dots) Markets move in cycles of Expansion and Compression. This module compares the width of Bollinger Bands against Keltner Channels.
• The Logic: When the Bollinger Bands contract inside the Keltner Channels, the market is like a coiled spring. This measures potential energy.
4. Relative Strength (The Alpha Line) Institutional capital rarely flows into underperforming assets. The script automatically compares your current ticker against a benchmark (SPY for Stocks, BTC for Crypto, DXY for Forex).
• The Logic: If the benchmark is dropping, but your ticker is holding steady (Rising Blue Line), it shows Relative Strength, a key footprint of institutional support.
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Visual Guide & Usage
The Histogram (Flow & Signals)
• Green Gradients: Buyers are in control.
• Red Gradients: Sellers are in control.
• GOLD Bars (Absorption): Be alert. A major player is active. If this happens at Support, it is a high-probability Accumulation setup.
• WHITE Bars (Alpha Signal): The "Triple Confluence." This occurs when we have (1) Absorption + (2) Bullish Flow + (3) Relative Strength all activating at once. This is the strongest signal in the system.
The Volatility Map (Center Dots) The dots running along the zero line tell you the state of market energy:
• 🔴 Red (Extreme Squeeze): Ratio < 0.7. Massive energy build-up. Expect an explosive move soon.
• 🟠 Orange (Squeeze): Ratio < 1.0. Standard pre-breakout compression.
• ⚪ Gray (Normal): Standard volatility.
• 🔵 Blue (Expansion): The move is underway. Volatility is expanding.
The Heads-Up Dashboard A professional table in the corner provides real-time quantitative data so you don't have to guess:
• Inst. Flow: The raw score (0-100).
• Volatility: Tells you exactly which phase the market is in (Squeeze vs. Expansion).
• Rel. Strength: Tells you if you are "Outperforming" or "Lagging" the benchmark.
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Volume Profile [Stansbooth]Volume Profile
What This Indicator Does ?
Volume Profile displays how trading volume is distributed across price levels for a selected period.
Instead of showing volume per candle only, it shows **where price attracted the most volume**, helping traders identify **important price zones**.
The indicator dynamically builds a **horizontal volume profile** using historical candle data and visually presents it behind price candles.
📊 Volume Profile Calculation Logic
* Volume is distributed across price levels based on how much of each candle overlaps a price row.
* Each candle’s volume is split equally across the price levels it touches.
* Bullish candles contribute volume to the **Buy Volume** array.
* Bearish candles contribute volume to the **Sell Volume** array.
* Total volume per level = Buy Volume + Sell Volume.
This creates a **precise volume-at-price profile**.
⏱️ Profile Period Modes
You can choose how the volume profile is calculated:
* **Visible Range** – Profile is calculated for all currently visible bars
* **Daily** – New profile starts each trading day
* **Weekly** – New profile starts each week
* **Monthly** – New profile starts each month
* **Session** – Profile resets on each new session
When a period ends, the completed profile is drawn and a new one starts automatically.
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🎯 POC & Value Area Logic
* **POC (Point of Control)**
* The price level with the **highest traded volume**
* Drawn as a horizontal line across the profile
* **Value Area**
* Covers the percentage of total volume defined by **Value Area %**
* Starts from the POC and expands upward and downward until the target volume is reached
* Areas outside the Value Area are visually dimmed
📐 Profile Drawing Behavior
* The profile width is proportional to volume strength:
* Higher volume = wider bar
* Lower volume = narrower bar
* Profile width is calculated using **time-based scaling**, ensuring stability across all timeframes
* Profiles can be placed on the **left or right side** of the chart
* Multiple past profiles can be displayed (limited by settings)
🕯️ Candle Volume Visualization
* Candle colors are dynamically adjusted based on **relative volume**
* Higher-than-average volume candles appear more intense
* Lower-volume candles appear more transparent
* Optional volume text can be displayed above candles
This helps visually confirm **strong vs weak price moves**.
🔍 High Volume Spike Detection
* Detects candles where volume exceeds a user-defined multiple of the 20-bar average
* Such candles are marked with a visual symbol below the bar
* Useful for spotting:
* Breakouts
* Institutional participation
* High-interest zones
📊 Bottom Volume Chart Logic
* Displays a volume histogram at the bottom of the chart
* Volume bars are dynamically scaled to price range
* Bullish and bearish candles use different colors
* Uses plot & fill logic, allowing **unlimited historical volume display**
🧭 How to Use This Indicator
1. **Identify High-Volume Zones**
* Use the widest profile areas to find strong support and resistance
2. **Trade Around the POC**
* Price often reacts, consolidates, or reverses near the POC
3. **Use Value Area for Bias**
* Price above Value Area → bullish bias
* Price below Value Area → bearish bias
4. **Confirm Moves with Candle Volume**
* Strong moves with high volume are more reliable
* Weak moves with low volume may fail
5. **Watch Volume Spikes**
* Spikes often precede major moves or reversals
Volume Momentum Radar📊 Volume Momentum Radar — Smarter Volume, Clear Momentum
Volume Momentum Radar is a simple, zero-nonsense improvement on the standard volume indicator. It helps you instantly see when volume matters by combining:
Relative Volume
Price Momentum
…in a single, easy-to-read volume pane.
Instead of just plotting raw volume, this tool highlights when rising volume is actually aligned with momentum, helping you quickly spot meaningful participation vs noise.
🧠 What it measures
The indicator calculates:
Relative Volume
Volume compared to its moving average to detect unusually high or low activity.
Momentum
You can choose:
RSI-based momentum (default)
or Rate of Change (ROC)
Momentum is centered so:
above 0 = bullish momentum
below 0 = bearish momentum
🎨 Color Logic (at a glance)
Each volume column is colored according to both volume and momentum:
🟢 Bright Green – high volume + bullish momentum
🔴 Bright Red – high volume + bearish momentum
🟦 Blue – neutral / choppy
🌫️ Gray – low relative volume (quiet market)
🟩 Teal – bullish momentum, normal volume
🟫 Maroon – bearish momentum, normal volume
The orange line is the Volume Moving Average, your baseline for relative volume.
👀 Optional extra information
Turn on the settings toggle to show:
📈 Relative Volume as a line
⚡ Normalized momentum line
This is helpful if you want a more analytical view rather than just colors.
✅ How traders commonly use it
identify high-participation breakouts or breakdowns
filter fake moves on low volume
visually time trend continuation vs exhaustion
confirm price action with momentum-aligned volume
It is designed to be:
clean
fast to read
beginner-friendly
useful on any market or timeframe
🔔 Notes
Does not repaint
Works on crypto, forex, indices, stocks, futures
Best paired with:
trend tools
market structure
support/resistance / liquidity concepts
Volume Flow and Delta Analysis [MarkitTick]💡This comprehensive technical indicator is designed for traders who require a granular view of market participation that goes beyond standard volume bars. By leveraging the advanced "Intrabar Analysis" capabilities of Pine Script, this tool deconstructs every single price candle on your chart into its constituent lower-timeframe components. It effectively "X-rays" the market to determine whether the volume inside a bar was primarily driven by aggressive buying or aggressive selling, providing a definitive read on market sentiment and institutional control.
● Originality and Utility
Most standard volume indicators display a simple aggregate total—a single block of volume that fails to distinguish between buying pressure and selling pressure. A high-volume candle could represent a strong breakout, or it could represent a "selling tail" where buyers were absorbed. This script solves that ambiguity. It is not a standard oscillator; it is a quantitative flow analyzer. It reconstructs the "Delta" (the net difference between buying and selling volume) by querying lower-timeframe data (e.g., analyzing 1-minute data inside a 60-minute bar). This allows traders to spot "Hidden Accumulation" (where price is flat but Delta is rising) or "Exhaustion" (where price rises but Delta falls), offering a significant edge in identifying reversals and trend continuations.
● Methodology
The script operates through a sophisticated three-stage quantitative process:
• Intrabar Data Acquisition
The script uses the security_lower_tf function to fetch granular price and volume data from a lower timeframe (automatically detected or user-defined). This allows the script to see what happened "inside" the current chart's bar.
• Directional Flow Distribution
For every lower-timeframe interval, the script assigns volume to either "Bullish Flow" or "Bearish Flow." If the close is higher than the open on the lower timeframe, the volume is credited to buyers. If the close is lower, it is credited to sellers. This logic is far more accurate than simple "Up/Down" tick data, as it respects price action.
• Statistical Volatility Normalization
To filter out noise, the script calculates a dynamic baseline using an Exponential Moving Average (EMA) of the absolute Delta values. It then compares the current bar's Delta against this baseline. This generates an "Intensity Score" (measured in Sigma or Standard Deviations). This ensures that a "High Volume" signal is relevant to the current market volatility, rather than relying on fixed, arbitrary thresholds.
● How to Use
This tool is designed to be a complete decision-support system. Here is how to interpret its various components:
• The Volume Histogram
The background histogram displays Total Volume, while the foreground bars show the split between Buying (Teal) and Selling (Red) flow. Use this to gauge the "quality" of a move. A price rally accompanied by high Teal volume is healthy; a rally on low volume or high Red volume is suspect.
• The Delta Histogram
This plots the net difference.
Strong Positive (Green) Delta: Indicates aggressive market buy orders are hitting the ask.
Strong Negative (Red) Delta: Indicates aggressive market sell orders are hitting the bid.
Divergence: If Price makes a New High but the Delta Histogram makes a Lower High, this is a classic signal of exhaustion and potential reversal.
• The Heads-Up Display (HUD)
A dashboard table pinned to the chart provides real-time metrics:
Session Delta: The cumulative buy/sell pressure for the current trading day.
Flow Regime: Clearly states if the market is in "ACCUMULATION" or "DISTRIBUTION."
Intensity: Shows how statistically significant the current volume is (e.g., "2.5x" means the volume is 2.5 times the standard deviation, indicating an anomaly).
• Visual Signals
The script plots triangle markers on top of the chart when the Delta Intensity exceeds the user-defined threshold.
Up Triangle (Green): Signals strong institutional buying pressure (Delta > Threshold).
Down Triangle (Red): Signals strong institutional selling pressure (Delta < Threshold).
● Inputs and Configuration
Lower Timeframe: By default, the script auto-selects the best resolution (e.g., 1-minute data for hourly charts). Users can override this to fine-tune the granularity.
Volume MA Length: Defines the lookback period for the volume moving average.
Delta Volatility Threshold (Sigma): This is the sensitivity filter for signals. A higher value (e.g., 2.0) results in fewer but more significant signals. A lower value (e.g., 1.0) provides more frequent alerts.
Visual Logic: Users can toggle the Dashboard, Delta Histogram, and Moving Averages on or off to suit their charting aesthetic.
● Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
High Volume Nodes HVNWhat Are High Volume Nodes (HVNs)?
In a volume profile or chips distribution indicator, a high volume node is a price level where a large amount of traded volume has accumulated. This means a lot of “chips” (trading activity) took place at that price.
In simple terms:
HVNs mark prices where buyers and sellers agreed the most, creating heavy trading congestion.
Why Are HVNs Important?
1. Strong Support or Resistance Zones
Because many trades occurred at an HVN, market participants often view that price as “fair value.”
Price tends to slow down, pause, or reverse at HVNs.
2. Mean Reversion Behavior
HVNs tend to act like magnets:
If price moves far away, it often returns to HVN levels to retest them.
3. Balance Areas
An HVN signals that the market spent a lot of time trading at that price, indicating consensus or balance.
How to Use HVNs in Trading
1. Identify Support/Resistance
HVNs often mark durable S/R levels.
Price frequently retests or bounces from HVNs.
2. Detect Trading Ranges
Multiple HVNs clustered together indicate balance zones or accumulation/distribution areas.
3. Target Zones
When price moves away from an HVN, it often:
revisits the HVN (mean reversion), or
moves toward the next HVN in the profile.
Settings
Timeframe (Slices) (Lookback) (Label %)
Daily (50) (80-250) (0.60)
Weekly (40) (180) (0.65)
Monthly (30) (120) (0.70)
Quarterly (25) (70) (0.75)
No financial advice, no buy/sell recommendation. Only for educational purposes
Currency VolumeShows the volumes in the currency of the chart including a custom moving average for noise attenuation.
Volume vs Range Imbalance DetectorDescription :-
Concept :-
This indicator is designed to identify "Effort vs. Result" anomalies in the market using Volume Spread Analysis (VSA) concepts. It highlights specific candles where high trading activity (Volume) is occurring, but the price movement (Range) is restricted. This behavior often signals the presence of heavy absorption by buyers or sellers ("Smart Money" activity) before a potential reversal or continuation.
How It Works :-
The script combines two distinct methods of volume analysis into a single view
1. Structural Imbalance (Lime & Red Signals)
This logic detects major market anomalies by comparing the current candle against a 50-period average context.
The Logic: A signal is generated if the Volume is significantly higher than the average (default 1.618x the 50 SMA) AND the Price Range is significantly smaller than the average (default 1.272x the 50 ATR).
Lime Candle/Dot (Bullish Absorption): Massive volume with small range, closing in the upper 50% of the bar. This suggests sellers are dumping, but buyers are absorbing all orders, preventing the price from dropping.
Red Candle/Dot (Bearish Blockade): Massive volume with small range, closing in the lower 50% of the bar. This suggests buyers are pushing, but sellers are absorbing the demand, preventing the price from rising.
2. Hidden Activity (Orange Signals)
This logic is more sensitive and compares the current candle only to the previous candle.
The Logic: A signal is generated if the current Volume is higher than the previous bar's volume, but the current Range is smaller than the previous bar's range.
Orange Candle/Dot: This indicates "Churn." Effort is increasing, but the result (movement) is decreasing. It is often an early warning sign of congestion or a pending breakout.
Visual Guide
Lime Dot (Below Bar): Strong Buying Pressure (Bullish Imbalance).
Red Dot (Above Bar): Strong Selling Pressure (Bearish Imbalance).
Orange Dot (Above Bar): Hidden Activity / Churn (Warning).
Settings
Context Length: The lookback period for the moving averages (Default: 50).
Volume/Range Multipliers: Determine how strict the "Imbalance" signals are. Higher numbers result in fewer, more significant signals.
Show Hidden Activity: Toggle the orange signals on or off.
Disclaimer
This tool is for educational purposes only. Volume analysis is subjective and should be used in conjunction with other form
SNIPER ORB V4SNIPER ORB V4
### What It Does
Draws 5/15/30 minute Opening Range Breakout levels with confirmation patterns.
### Session Times
| Session | Hours (ET) |
|---------|------------|
| London | 3:00 - 9:30 |
| New York | 9:30 - 17:00 |
### Levels Drawn
| Level | Color Default | Purpose |
|-------|---------------|---------|
| 5m ORB H/L | Blue | Scalp levels |
| 15m ORB H/L | Cyan | Swing levels |
| 30m ORB H/L | Purple | **Primary levels** |
| Targets 1x-3x | Green/Red | Profit targets |
### Signals
| Signal | Meaning | Priority |
|--------|---------|----------|
| `ORB↑` | Confirmed breakout up | ⭐⭐ |
| `ORB↓` | Confirmed breakout down | ⭐⭐ |
| `RT↑` | Retest long entry | ⭐⭐⭐ **BEST** |
| `RT↓` | Retest short entry | ⭐⭐⭐ **BEST** |
| `FVG↑` | FVG zone long | ⭐⭐⭐ |
| `FVG↓` | FVG zone short | ⭐⭐⭐ |
| `ABS` | Absorption (caution) | ⚠️ Warning |
| `FK!` | Fakeout detected | ❌ Avoid |
### FVG Zones (Blue Boxes)
- **Bullish FVG** = Gap below price → Support zone
- **Bearish FVG** = Gap above price → Resistance zone
- **Best Entry** = Price touches FVG + Engulfing candle
### Bar Colors
| Color | Meaning |
|-------|---------|
| Bright Green | Bullish breakout confirmed |
| Bright Red | Bearish breakout confirmed |
| Light Green | Bullish retest entry |
| Light Red | Bearish retest entry |
### Info Table Key
| Field | Green = Good | Yellow/Orange = Caution |
|-------|--------------|-------------------------|
| Volume | HIGH VOL | Normal |
| Body | STRONG (70%+) | Normal/Weak |
| Status | BROKE HIGH/LOW | IN RANGE |
### Quick Trade Plan
```
LONG:
1. Wait for 30m ORB to complete
2. Watch for ORB↑ breakout
3. WAIT for pullback to ORB High
4. Enter on RT↑ or FVG↑ signal
5. SL = Below 30m ORB Low
6. TP = Target 1x or 2x
SHORT:
1. Wait for 30m ORB to complete
2. Watch for ORB↓ breakout
3. WAIT for pullback to ORB Low
4. Enter on RT↓ or FVG↓ signal
5. SL = Above 30m ORB High
6. TP = Target 1x or 2x
```
---
Adaptive Volume Profile [by Oberlunar]Adaptive Volume Profile of Oberlunar is built to solve a practical limitation I’ve found in many volume profile scripts: they don’t truly adapt to the chart’s visible range, so you lose readability when you zoom in for microstructure or zoom out for macro context.
This indicator stays usable across zoom levels, keeping the profile informative and visually consistent whether you’re studying fine detail or the bigger picture.
On top of that, it highlights something I’ve always wanted to read at a glance: how bullish vs bearish pressure behaves inside convex and concave volumetric structures — the bumps (high participation nodes - yellow area) and the bottlenecks (low participation nodes where price often travels fast - violet area).
You can quickly spot whether a bump is dominated by positive or negative flow, then zoom in to validate if the pressure is confirmed by subsequent price action. Missing this kind of clarity can easily lead to wrong assumptions and bad decisions — this tool is designed to make that read immediate and attractive.
Zoom In - Zoom Out example
For example, this is a "zoom in":
It looks bearish...
yeah... let's see the whole picture by a zoom out:
The bearish volumetric pressure is evident in the last bottleneck.
Bearish setup
Before
After
Bullish setup
Before
After
— Oberlunar 👁★
Relative Volume: Bull/Bear Bars + Strength IntensityThis indicator:
- Plots volume bars in a separate pane under the ticker's chart.
- Computes and displays RVOL as a decimal (e.g., 1.37), based on current bar volume ÷ average volume over a lookback length (lookback length is customizable).
- Shows the RVOL value in the indicator’s “Values” line (the “ticker” area at the top-left of the pane) by plotting it as a line (and you can also optionally show a label).
- Colors volume bars:
- green on bullish candles
- red on bearish candles
- also reflects RVOL strength via intensity (stronger RVOL = less transparent / more vivid)
Interstellar Brokers [by Oberlunar]Interstellar Brokers
Interstellar Brokers by Oberlunar is a multi-broker gap-native heatmap engine designed for markets where discontinuities are viewed as a seed structure.
On instruments like commodities, such as PEPPERSTONE:XAUUSD , the daily (D) or weekly (W) open can “teleport” away from the previous close, creating a shadow zone where price discovery, liquidity rebalancing, and dealer positioning tend to leave readable footprints. This indicator treats that shadow as the anchor of the entire analysis. Every lane of every broker, every intensity shift, and every marker is conditioned on what the market is doing relative to the active daily or weekly gap.
Here, I show a plot of two trades caught in real-time: one bullish and one bearish, plus the reversal moment where the stars first guided a small bullish reaction and then, shortly after, helped confirm the bearish continuation.
Each of the five broker feeds becomes a dedicated lane with its own micro-state: above the gap, below the gap, inside the gap, or in the act of filling it. Color is not cosmetic here—it is a regime tag. Green/red encode direction relative to the gap boundaries, while the neutral fill state turns the lane white to explicitly remove bias when the market is doing the one thing that invalidates the edge: closing the discontinuity. That is why neutral zones stay clean and silent: no signals are allowed to appear in white regimes, because ambiguity is not tradable.
Intensity is where the lanes become more than a binary map. The heatmap alpha is driven by a chosen pressure source, normalized into a stable magnitude so five different feeds remain comparable rather than visually “loud” for arbitrary reasons. You can anchor that pressure to PV (Price × Volume), a proxy for weighted participation and “where volume mattered”; to CVD (Cumulative Volume Delta), the running balance of volume on up candles versus down candles, used as a simple order-flow pressure gauge; to OBV (On-Balance Volume), a classic accumulation/distribution line built by adding or subtracting volume based on whether price closed up or down; to Raw Volume, the untransformed traded volume accumulated over time; or to pure Distance, the normalized separation between current price and the gap boundaries (scaled by ATR), which turns the heatmap into a strictly geometric “how far from the shadow” measure. Inside the gap, intensity is deliberately attenuated: the shadow zone is information-rich, but structurally constrained, so the indicator reduces the temptation to over-read micro fluctuations while price imbalance is still "negotiating" the gap.
The AGG lane is the arbitration layer. It is not a simple average of colors; it is a weighted consensus that can be strict (ALL), pragmatic (MAJORITY), or opportunistic (ANY). This turns five parallel realities into a single decision surface: when the brokers align, the signal is not “louder”, it is more trustworthy because it survives feed variance, spread quirks, and venue microstructure differences. When they diverge, the system doesn’t force a trade; it exposes the fracture.
Divergence stars are the early-warning system. They appear only when the price direction and the selected flow metric disagree with sufficient magnitude, so the mark is earned rather than incidental. In gap markets, this matters: reversals and continuations often begin as a mismatch between what price is doing and what participation is doing, especially around the shadow boundaries.
However, a key point is verification...
Run a Bar Replay and watch how the lanes evolve step by step: values update only as candles confirm, the hourly horizon advances cleanly, and nothing “magically” appears after the fact. The entire architecture is built to avoid lookahead bias—no future candles are used to paint the present—so what you see in replay is the same logic you get live, and the market narrative stays coherent rather than retrofitted.
★👁 by Oberlunar
Volume Profile Lite [JOAT]
Volume Profile Lite — Simplified Volume-at-Price Analysis
Volume Profile Lite creates a histogram showing volume distribution across price levels using a proprietary lightweight calculation method. It identifies the Point of Control (POC), Value Area High, and Value Area Low—key concepts from auction market theory—in an optimized, easy-to-read format that won't slow down your charts.
Why This Script is Protected
This script is published as closed-source to protect the proprietary volume distribution algorithm and the optimized Value Area calculation methodology from unauthorized republishing. The specific implementation of volume allocation across price rows, the buy/sell volume separation logic, and the efficient POC detection system represents original work that provides a unique lightweight alternative to standard volume profile implementations.
What Makes This Indicator Unique
Unlike heavy volume profile indicators that can slow down charts, Volume Profile Lite:
Uses an optimized algorithm designed for performance
Separates buying and selling volume for additional insight
Provides clean visual presentation without chart clutter
Includes extending reference lines for key levels
Features a dashboard with price position relative to POC
What This Indicator Does
Distributes volume across price rows to create a visual profile histogram
Identifies the Point of Control (highest volume price level)
Calculates Value Area (where specified percentage of volume traded)
Separates buying and selling volume for each price level
Extends key levels as reference lines on the chart
Highlights the POC row with a distinct border
Core Methodology
The indicator uses a proprietary approach to volume-at-price analysis:
Price Row Division — The lookback range is divided into configurable price rows (default: 24 rows)
Volume Distribution — Each bar's volume is allocated to the price rows it touches. If a bar spans multiple rows, volume is distributed proportionally.
Buy/Sell Separation — Volume is classified based on bar direction (close >= open = buying volume, close < open = selling volume)
POC Detection — The row with maximum accumulated volume is identified as the Point of Control
Value Area Calculation — Starting from POC, expands outward (alternating up and down) until target volume percentage is captured
Key Concepts Explained
Point of Control (POC) — The price level with the highest volume concentration. Often acts as a magnet for price and represents "fair value" for the analyzed period. Price tends to return to POC.
Value Area High (VAH) — Upper boundary of the value area zone. Acts as resistance when price is below, support when price is above.
Value Area Low (VAL) — Lower boundary of the value area zone. Acts as support when price is above, resistance when price is below.
Value Area — Price range containing specified percentage (default 70%) of total volume. This is where most trading activity occurred.
Visual Features
Volume Histogram — Horizontal bars showing volume at each price level
Buy/Sell Coloring — Green portions show buying volume, red shows selling volume
POC Highlight — The POC row has a distinct orange border and fill
POC Line — Horizontal line extending from POC (optional extension to right)
Value Area Lines — Dashed blue lines at VAH and VAL
Value Area Fill — Subtle blue fill between VAH and VAL
Color Scheme
Up Volume Color — Default: #26A69A (teal) — Buying volume
Down Volume Color — Default: #EF5350 (red) — Selling volume
POC Color — Default: #FF9800 (orange) — Point of Control
Value Area Color — Default: #2196F3 (blue) — VAH/VAL lines and fill
Dashboard Information
The on-chart table (bottom-right corner) displays:
POC price level
Value Area High price level
Value Area Low price level
Current price position relative to POC (ABOVE POC, BELOW POC, or AT POC)
Distance from current price to POC as percentage
Inputs Overview
Calculation Settings:
Lookback Period — Number of bars to analyze (default: 100, range: 20-500)
Number of Rows — Price level divisions for the profile (default: 24, range: 10-50)
Value Area % — Percentage of volume for value area calculation (default: 70%, range: 50-90%)
Visual Settings:
Up/Down Volume Colors — Customizable buy/sell colors
POC Color — Point of Control highlighting
Value Area Color — VAH/VAL line and fill color
Profile Width — Visual width of histogram in bars (default: 30, range: 10-100)
Show POC Line — Toggle POC horizontal line
Show Value Area — Toggle VAH/VAL lines and fill
Show Dashboard — Toggle the information table
Extend Lines — Project POC and VA lines further right
How to Use It
For Support/Resistance:
Use POC as a potential support/resistance reference point
Price often gravitates back to POC (mean reversion)
VAH acts as resistance when approaching from below
VAL acts as support when approaching from above
For Trend Analysis:
Price above POC suggests bullish control
Price below POC suggests bearish control
Breaking out of Value Area often leads to trending moves
Returning to Value Area suggests failed breakout
For Entry/Exit:
Enter longs near VAL with stops below
Enter shorts near VAH with stops above
Target POC for mean-reversion trades
Use POC as a trailing stop reference in trends
Alerts Available
VPL Cross Above POC — Price crosses above Point of Control
VPL Cross Below POC — Price crosses below Point of Control
VPL Cross Above VAH — Price breaks above Value Area High
VPL Cross Below VAL — Price breaks below Value Area Low
Best Practices
Use longer lookback periods for more significant levels
Increase row count for more precise level identification
POC from higher timeframes is more significant
Combine with other indicators for confirmation
This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions.
— Made with passion by officialjackofalltrades
PowerWave Oscillator Suite [BOSWaves]PowerWave Oscillator Suite - Multi-Dimensional Momentum & Trend Oscillator with Adaptive Divergence Insight
Overview
PowerWave Oscillator Suite is a cutting-edge analytical toolkit designed to provide traders with a sophisticated understanding of momentum, trend strength, and divergence behavior in financial markets. Unlike conventional oscillators that rely solely on price-based calculations, PowerWave combines adaptive, multi-dimensional computation engines with advanced visualization tools and divergence detection systems. The suite offers a unique blend of trend-following, mean-reversion, and contrarian trading insights, allowing users to analyze markets from multiple angles simultaneously. Each module within the suite has been designed to offer precision, clarity, and adaptability, ensuring that traders of all levels - from novice to professional - can extract actionable intelligence without unnecessary chart clutter or signal ambiguity.
PowerWave Oscillator Suite focuses on three primary trading paradigms: momentum measurement, volume-based filtering, and smoothed trend oscillation. These paradigms are accessible via three core modules - Aroon Oscillator, Adaptive Volume Filter, and HyperSmooth Oscillator - each equipped with advanced smoothing, dynamic source selection, reduced-lag computation, and divergence detection, offering a comprehensive approach to market analysis. By leveraging the full capabilities of this toolkit, traders can identify market turning points, confirm trend strength, detect hidden divergences, and refine entries and exits, all within a single integrated framework.
Configuration Panel and Customization Options
At the heart of PowerWave is a robust configuration panel that allows users to tailor the suite to their individual trading preferences and market conditions. The first level of customization is the Module Selection, allowing users to toggle between the Aroon Oscillator, Adaptive Volume Filter, or HyperSmooth Oscillator. Each module is designed with a distinct analytical purpose:
Aroon Oscillator : Measures trend strength and provides early signals for trend reversals or continuation.
Adaptive Volume Filter : Uses volume-based filtering to highlight momentum shifts, smoothing out noise from price fluctuations.
HyperSmooth Oscillator : Delivers finely smoothed oscillations, designed to capture micro-trend shifts and acceleration patterns.
Users can enhance the responsiveness and filtering behavior of each module via the Enhancement Level setting, a numeric input that applies a series of multi-stage exponential smoothing layers, ensuring signals are robust against market noise without introducing excessive lag. Additionally, the Source Type option allows traders to determine the price input methodology - ranging from adaptive combinations of open, high, low, and close values to more traditional sources - granting flexibility to align the indicator with preferred strategies or asset characteristics.
Engineered Visual Intelligence and Module-Specific Color Systems
PowerWave employs purpose-built, module-specific color systems that are tightly integrated with each oscillator’s underlying computation model. Rather than treating color as a cosmetic layer, the suite uses color as an informational channel, encoding state, momentum bias, and structural context directly into the visual output.
Each module operates with a dedicated color logic aligned to its analytical role:
The Aroon Oscillator uses polarity-driven gradients to express time-based trend dominance and directional strength.
The Adaptive Volume Filter applies contrasting color states to distinguish expanding versus contracting volume pressure.
The HyperSmooth Oscillator utilizes a dynamic HSV-based color spectrum that continuously maps momentum acceleration and deceleration into the oscillator line itself.
These color systems are reinforced through coordinated visual elements, including bar coloring, background state highlighting, histogram fills, and cross-condition shading. Users can further tune visual intensity and emphasis through enhanced mode and opacity controls, allowing the same engineered color logic to be amplified or subdued depending on chart density and personal workflow.
By designing color behavior as an extension of the calculation engine - rather than an arbitrary styling choice - PowerWave ensures that visual cues remain consistent, data-driven, and immediately interpretable across assets, timeframes, and market regimes.
Dynamic Source and Zero-Lag Computation
A defining characteristic of PowerWave Oscillator Suite is its Dynamic Source Calculation engine, which adjusts the input price series according to the trader’s chosen source type and enhancement level. This system ensures that signals are computed from a refined, noise-filtered base, enhancing reliability across asset classes and timeframes. Each stage of the multi-level smoothing hierarchy incrementally reduces erratic price fluctuations while preserving meaningful structural movement, allowing traders to differentiate between minor price noise and genuine momentum shifts.
Complementing this is the Adaptive Reduced-Lag Filter, a highly specialized algorithm that minimizes lag inherent in traditional moving averages or oscillators. This filter uses a gain-optimized EMA structure that continuously self-adjusts based on recent price dynamics, providing traders with fast yet reliable signals. By incorporating zero-lag calculations, PowerWave ensures that trend reversals and momentum inflections are detected in near real-time, allowing for earlier entries, faster confirmations, and more accurate exits. The reduced-lag filter also dynamically adjusts its internal gain coefficients, minimizing error while accounting for varying market volatility.
Aroon Oscillator Module
The Aroon Oscillator module within PowerWave is designed to quantify trend strength and identify emerging directional shifts. Utilizing a dual-period calculation, the module compares the relative timing of recent highs and lows, producing a normalized oscillation that reflects the market’s current momentum. Advanced zero-lag filtering ensures that even minor reversals or trend accelerations are captured with minimal delay, while additional smoothing can be applied via the configuration panel to match the trader’s preferred sensitivity.
The module includes trend and mean-reversion signal detection:
Trend Signals : Generated when the oscillator crosses the zero line, indicating potential trend continuation or initiation.
Reversion Signals : Triggered by crossovers between the oscillator and its internal signal line, highlighting potential pullbacks or temporary counter-trend behavior.
Visual overlays, including bar coloring and gradient plots, highlight bullish and bearish momentum zones, making it immediately apparent whether the market is in a trending or consolidating state. By combining trend and reversion insights with divergence detection, traders gain a multi-layered understanding of market structure, allowing for well-timed entries and exits.
Use Case:
Use the Aroon Oscillator when your primary objective is identifying real trend shifts early and staying aligned with structure. This model excels in markets transitioning from consolidation into expansion, where timing matters more than micro-entries. Zero-line crosses define directional regime changes, while signal-line crossovers expose mean-reversion pullbacks within a dominant trend. Divergences here are high-quality because Aroon measures time-based strength, not just price movement - making this ideal for swing traders and intraday trend followers who want confirmation before committing size.
Adaptive Volume Filter Module
The Adaptive Volume Filter takes a fundamentally different approach, analyzing volume-driven market behavior. By transforming price inputs with volume-weighted calculations and applying an adaptive multi-stage smoothing engine, this module emphasizes genuine buying and selling pressure while suppressing noise caused by small, indecisive bars.
Key features include:
Dynamic Thresholding : Traders can set threshold levels to define oversold or overbought regions based on relative volume patterns.
Multi-tiered Signal Generation : Local trend signals identify moderate momentum shifts, while oversold/overbought conditions trigger stronger trade opportunities.
Volume-Cycle Adaptation : The filter adapts to cyclical volume patterns, ensuring that signals remain valid during periods of high or low market participation.
This module is particularly effective for spotting institutional accumulation/distribution, validating trends, and detecting early inflection points where price action alone might be misleading.
Use Case:
Select the Adaptive Volume Filter when you want to validate price movement with participation, not guess momentum in a vacuum. This oscillator shines during breakouts, distribution phases, and deceptive price moves where volume tells the real story. Overbought and oversold zones highlight statistically stretched volume conditions, while the adaptive smoothing engine filters short-term noise caused by small, indecisive bars. This is the model you use to confirm whether a move is being supported or starved - making it lethal for spotting exhaustion, fake breakouts, and accumulation/distribution zones.
HyperSmooth Oscillator Module
The HyperSmooth Oscillator represents the most sophisticated module in the suite, combining adaptive smoothing, dual-cycle EMA differentiation, and volatility-normalized scaling. It calculates momentum by comparing fast and slow EMA cycles of a dynamically smoothed price series and then normalizes this difference using ATR-based volatility adjustments. This ensures that the oscillator is sensitive to micro-momentum changes while remaining robust against extreme volatility spikes.
Additional innovations in this module include:
Hyper-smoothing and acceleration detection : Captures micro-trend shifts and identifies momentum acceleration or deceleration, providing early insight into potential trend reversals.
Dynamic color mapping : Uses HSV-based gradient calculations to indicate the intensity and direction of momentum, enhancing immediate visual interpretation.
Threshold-based cross-validation : Ensures that only meaningful crossovers are flagged as buy or sell signals, reducing false positives in noisy markets.
Combined, these mechanisms give traders access to both subtle and strong market moves, allowing nuanced position sizing and timing strategies.
Use Case:
Use HyperSmooth when you need speed, sensitivity, and volatility-aware momentum detection. This model is built for fast markets, aggressive entries, and momentum continuation plays where standard oscillators lag. By normalizing momentum with ATR and dynamically adjusting signal thresholds, HyperSmooth filters weak crosses and only reacts when momentum actually matters. Color-shifted acceleration highlights when force is increasing or decaying, making this the go-to mode for scalpers and momentum traders hunting explosive continuation or sharp reversals with minimal delay.
Enhanced Divergence Detection System
PowerWave includes a robust divergence detection engine, capable of identifying regular and hidden bullish and bearish divergences across all modules. Divergences are detected by analyzing oscillator pivots against corresponding price highs and lows, ensuring that traders can spot structural weaknesses or strengths in trend continuation.
Key enhancements include:
Pivot-based analysis with lookback control : Allows customization of sensitivity to short-term vs. long-term divergences.
Priority system : Regular divergences are highlighted first, while hidden divergences are only displayed if no regular divergence is present, reducing chart clutter.
Visual representation : Divergences are drawn on both the oscillator and price chart using solid or dashed lines with opacity gradients, enabling clear interpretation of potential reversal zones.
This system equips traders to anticipate trend exhaustion points, early reversals, and high-probability pullbacks, a critical advantage in both trending and range-bound markets.
Visualization and Chart Interpretation
Every module in PowerWave is accompanied by enhanced visual aids, including histogram fills, line overlays, bar coloring, and shape-based trade markers. These features provide instant clarity on:
Trend direction : Bullish vs. bearish zones are highlighted via gradient fills and bar color overlays.
Signal strength : Minor, regular, and strong trade setups are distinguished using shape markers (triangles, circles, diamonds).
Momentum confirmation : Histogram fills indicate whether the oscillator is accelerating or decelerating relative to its signal line.
By integrating these visualizations, PowerWave transforms complex calculations into immediately actionable chart insights, enabling both manual and automated strategies to be executed with confidence.
General Use Cases and Trading Applications
Trend-following : Combine oscillator zero-line crossovers with divergence confirmation for disciplined entries.
Counter-trend trading : Utilize hidden divergence signals to identify potential reversal points before visible trend exhaustion.
Volume-sensitive trades : Adaptive Volume Filter highlights accumulation/distribution phases, providing context for institutional participation.
Scalping and swing strategies : HyperSmooth Oscillator captures micro-momentum changes, ideal for both short-term scalping and multi-day swing trades.
The suite is designed for flexibility and adaptability, allowing traders to integrate multiple modules, fine-tune parameters, and create customized signals aligned with personal strategies or specific market conditions.
Final Notes
PowerWave Oscillator Suite is designed as an analytical decision-support system. It provides structured market insight based on historical price and volume behavior and does not constitute predictive or outcome-guaranteed functionality. Its core design philosophy emphasizes clarity, adaptability, and risk-aware decision-making. Every calculation, filter, and visual cue is intended to provide insight, not guarantees. Traders are encouraged to combine the suite’s outputs with proper risk management, contextual market awareness, and disciplined strategy execution.
Risk Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Users are responsible for their own analysis, risk management, and execution decisions.
Rolling Cumulative Volume Delta (N bars)Rolling CVD, not anchored to a date and reset after anchor+period reached
VOLD RatioThis indicator calculates the ratio between NYSE Up Volume and Down Volume (USI:UVOL / USI:DVOL).
It helps assess market participation and short-term buying vs. selling pressure.
Higher values indicate dominant buying volume, while lower values suggest increasing selling pressure.
Useful as a breadth and confirmation tool alongside index price action.
Money VolThe indicator displays the trading volume in monetary terms and its ratio to the average trading volume over 100 periods. It highlights volumes that are 2x, 5x, 10x, or less than 2x the average.
Индикатор показывает объем торгов в денежном выражении, отношение к среднему объему торгов за 100 периодов, подсвечивает х2, х5, х10 и меньше более чем х2
Volume OscillatorDescription
The Volume Oscillator measures the momentum of trading volume by calculating the percentage difference between a fast and a slow Simple Moving Average (SMA) of daily volume. It helps traders identify periods of increasing or decreasing market participation, often signaling potential trend strength or exhaustion.
Key Features:
Adaptive to Trading Session:
Automatically adjusts SMA periods based on the actual trading session length (default: 8.5 hours for FTSEMIB, customizable for any market — e.g., 6.5h for US stocks, 24h for crypto).
Fast & Slow SMAs:
Compares a short-term SMA (default 10 days) with a longer-term SMA (default 25 days) of volume.
Oscillator Formula:
100 × (Fast SMA / Slow SMA - 1)
→ Positive values = increasing volume momentum (bullish)
→ Negative values = decreasing volume momentum (bearish)
Signal Line (optional):
A moving average of the oscillator (default 7 days) for smoother trend identification and crossover signals.
Overbought/Oversold Levels:
User-defined horizontal lines (default +40 / -40) to highlight extreme volume conditions.
Customizable Colors:
Change the oscillator and signal line colors to match your chart style.
How to Interpret:
Bullish Conditions:
Oscillator crosses above the zero line
Oscillator crosses above the signal line
Readings near or above +40 may indicate strong buying pressure (watch for possible exhaustion if too extreme)
Bearish Conditions:
Oscillator crosses below the zero line
Oscillator crosses below the signal line
Readings near or below -40 may indicate selling pressure or capitulation
Divergences:
Look for divergences between price and the Volume Oscillator (e.g., price makes new highs but oscillator fails to confirm with higher highs) — a classic sign of weakening momentum.
Best Use Cases:
Indices (FTSEMIB, DAX, CAC, SPX, etc.), stocks and futures with defined trading hours, crypto (set session duration to 24 hours).
Works well on intraday (e.g., 15m, 30m, 1h) and daily charts.
Customization Tips:
- Shorten fast/slow lengths for faster signals (more noise)
- Lengthen them for smoother, longer-term analysis
- Adjust session duration for non-standard market hours
- Enable/disable the signal line in the settings
Note: Volume data quality can vary by symbol and exchange. Always combine this indicator with price action and other tools. Use proper risk management.
Volume ROC (smoothed)Description
The Volume ROC (Rate of Change) indicator is designed to measure the momentum of trading volume over a user-defined period, adjusted for the trading session length of the symbol (e.g., 8.5 hours for the FTSEMIB index). This makes it particularly useful for intraday charts where standard daily calculations might not align with actual trading days.
By focusing on volume changes rather than price, it helps identify potential shifts in market participation, such as accumulation, distribution, or unusual activity that could precede price movements.
How It Works:
Session Adjustment:
The indicator calculates the number of candles per trading day based on the input session duration (in hours) and the chart's timeframe. This ensures that the ROC and other calculations are based on "trading days" rather than calendar days, making it adaptable to markets with non-standard hours like European indices (e.g., FTSEMIB).
Daily Data Fetch:
It retrieves daily high, low, close, and volume data using "request.security" to ensure consistency across timeframes.
ROC Calculation:
The Rate of Change (ROC) is computed on volume using "ta.change" over the specified length (in days), multiplied by the candles-per-day factor for timeframe independence. By chosing the subtraction method instead of the division method we avoid distortions of the ROC below the zero line (method ok for timespans inferior to two years).
Smoothing with SMA:
A Simple Moving Average (SMA) is applied to the ROC to reduce noise and highlight trends in volume momentum.
Standard Deviation Bands:
The standard deviation of the smoothed ROC is calculated over a lookback period. Bands are plotted at +2σ (overbought) and -2σ (oversold) to provide context for extreme volume changes, similar to Bollinger Bands but applied to volume ROC.
Key Plots:
SMA Line (Orange): The smoothed ROC value. Positive values indicate increasing volume momentum; negative values suggest decreasing momentum.
Zero Line (Black Dotted): A reference line at 0, separating positive and negative ROC territories.
+2σ Band (Red Dotted): Upper overbought threshold. Crossings above this may signal excessive buying volume.
-2σ Band (Green Dotted): Lower oversold threshold. Dips below this could indicate capitulation or low interest.
Usage and Interpretation:
Trend Confirmation:
Use the SMA crossing above/below zero to confirm price trends with volume backing. For example, a rising price with positive Volume ROC suggests strong conviction.
Divergences:
Look for divergences between price and Volume ROC (e.g., price making new highs but ROC weakening), which can signal reversals.
Overbought/Oversold Signals:
The ±2σ bands act as dynamic levels. Volume ROC spiking above +2σ might precede pullbacks, while below -2σ could indicate buying opportunities.
Best Applied To:
European indices (like FTSEMIB or DAX), stocks, or futures with defined session hours. Test on intraday (e.g., 2h) and combine with price-based indicators like RSI or MACD for confluence.
Customization:
Adjust the ROC/SMA lengths for sensitivity (shorter for scalping, longer for swings). The STDEV lookback affects band width—longer periods create smoother bands.
Limitations:
Volume data can be noisy in low-liquidity symbols. This indicator assumes consistent session lengths; irregular holidays may affect accuracy. Always backtest and use with risk management.
This indicator is original and built for educational/trading purposes.
