Volume Profile Area [BigBeluga]🔵 OVERVIEW
The Volume Profile Area is an advanced profiling tool that calculates and visualizes the value area within a chosen period’s volume distribution. It first builds a main profile of the entire range, then constructs a secondary profile inside the defined value area, allowing traders to examine market balance and key trading zones in greater detail.
🔵 CONCEPTS
Volume Profile – Distributes traded volume across price levels to highlight areas of market activity.
Value Area (VA) – The price range containing a chosen percentage of total volume (commonly 50–70%).
Point of Control (PoC) – The price level with the highest traded volume, often acting as a magnet for price.
Nested Profiles – A profile inside the VA adds a second layer of precision, showing where liquidity clusters within the “fair value” zone.
🔵 FEATURES
Main Profile – Full distribution of volume over the selected lookback period.
Secondary Profile – Built only inside the VA of the main profile, highlighting intrabalance structure.
Customizable PoC Selection – Choose between showing the PoC of the
Main Profile ,
the Area Profile ,
their Average ,
or None .
Dynamic Value Area Levels – Automatically plots VAL (Value Area Low) and VAH (Value Area High) with labels.
Overlay Toggles – Show/hide range extremes, VA lines, or PoCs for a cleaner chart view.
Visual Profiles – Main profile shaded in darker blue; the VA profile inside is lighter for clear separation.
Automatic Scaling – Profiles adapt to period highs/lows and auto-adjust bins for consistent resolution.
Volume Labels – PoCs can display traded volume, giving numeric confirmation of liquidity concentration.
🔵 HOW TO USE
Set the Period to define how many bars to include in the main profile.
Adjust the Value Area % to control how much volume defines the VA (e.g., 50% by default).
Pick your PoC option: Main , Area , or Average , depending on focus.
Use VAH/VAL lines as support/resistance levels where most trading occurred.
Compare reactions at Main vs VA PoC levels to spot potential breakouts or mean reversions.
🔵 CONCLUSION
The Volume Profile Area extends traditional profiling by nesting a secondary VA profile inside the main distribution. This dual-layer approach reveals not just where the market was active overall, but where liquidity concentrated within the “fair value” zone—powerful for refining entries, exits, and risk placement across intraday and swing horizons.
Поиск скриптов по запросу "point of control"
RSI VWAP v1 [JopAlgo]RSI VWAP v1.1 made stronger by volume-aware!
We know there's nothing new and the original RSI already does an excellent job. We're just working on small, practical improvements – here's our take: The same basic idea, clearer display, and a single, specially developed rolling line: a VWAP of the RSI that incorporates volume (participation) into the calculation.
Do you prefer the pure classic?
You can still use Wilder or Cutler engines –
but the star here is the VW-RSI + rolling line.
This RSI also offers the possibility of illustrating a possible
POC (Point of Control - or the HAL or VAL) level.
However, the indicator does NOT plot any of these levels itself.
We have included an illustration in the chart for this!
We hope this version makes your decision-making easier.
What you’ll see
The RSI line with a 50 midline and optional bands: either static 70/30 or adaptive μ±k·σ of the Rolling Line.
One smoothing concept only: the Rolling Line (light blue) = VWAP of RSI.
Shadow shading between RSI and the Rolling Line (green when RSI > line, red when RSI < line).
A lighter tint only on the parts of that shadow that sit above the upper band or below the lower band (quick overbought/oversold context).
Simple divergence lines drawn from RSI pivots (green for regular bullish, red for regular bearish). No labels, no buy/sell text—kept deliberately clean.
What’s new, and why it helps
VW-RSI engine (default):
RSI can be computed from volume-weighted up/down moves, so momentum reflects how much traded when price moved—not just the direction.
Rolling Line (VWAP of RSI) with pure VWAP adaptation:
Low volume: blends toward a faster VWAP so early, thin starts aren’t missed.
Volume spikes: blends toward a slower VWAP so a single heavy bar doesn’t whip the curve.
You can reveal the Base Rolling (pre-adaptation) line to see exactly how much adaptation is happening.
Adaptive bands (optional):
Instead of fixed 70/30, use mean ± k·stdev of the Rolling Line over a lookback. Levels breathe with the market—useful in strong trends where static bounds stay pinned.
Minimal, readable panel:
One smoothing, one story. The shadow tells you who’s in control; the lighter highlight shows stretch beyond your lines.
How to read it (fast)
Bias: RSI above 50 (and a rising Rolling Line) → bullish bias; below 50 → bearish bias.
Trigger: RSI crossing the Rolling Line with the bias (e.g., above 50 and crossing up).
Stretch: Near/above the upper band, avoid chasing; near/below the lower band, avoid panic—prefer a cross back through the line.
Divergence lines: Use as context, not as standalone signals. They often help you wait for the next cross or avoid late entries into exhaustion.
Settings that actually matter
RSI Engine: VW-RSI (default), Wilder, or Cutler.
Rolling Line Length: the VWAP length on RSI (higher = calmer, lower = earlier).
Adaptive behavior (pure VWAP):
Speed-up on Low Volume → blends toward fast VWAP (factor of your length).
Dampen Spikes (volume z-score) → blends toward slow VWAP.
Fast/Slow Factors → how far those fast/slow variants sit from the base length.
Bands: choose Static 70/30 or Adaptive μ±k·σ (set the lookback and k).
Visuals: show/hide Base Rolling (ref), main shadow, and highlight beyond bands.
Signal gating: optional “ignore first bars” per day/session if you dislike open noise.
Starter presets
Scalp (1–5m): RSI 9–12, Rolling 12–18, FastFactor ~0.5, SlowFactor ~2.0, Adaptive on.
Intraday (15m–1H): RSI 10–14, Rolling 18–26, Bands k = 1.0–1.4.
Swing (4H–1D): RSI 14–20, Rolling 26–40, Bands k = 1.2–1.8, Adaptive on.
Where it shines (and limits)
Best: liquid markets where volume structure matters (majors, indices, large caps).
Works elsewhere: even with imperfect volume, the shadow + bands remain useful.
Limits: very thin/illiquid assets reduce the benefit of volume-weighting—lengthen settings if needed.
Attribution & License
Based on the concept and baseline implementation of the “Relative Strength Index” by TradingView (Pine v6 built-in).
Released as Open-source (MPL-2.0). Please keep the license header and attribution intact.
Disclaimer
For educational purposes only; not financial advice. Markets carry risk. Test first, use clear levels, and manage risk. This project is independent and not affiliated with or endorsed by TradingView.
Meeting Point TrackerDescription
This script — Options – Meeting Point — visually combines Call (CE) and Put (PE) option candles of the same strike into a single layout, designed for intraday option traders who monitor both legs simultaneously.
💡 Key Features
🔹 Dual Candle Display
Plots CE candles in green/red and PE candles in blue/magenta.
Both legs appear on the same panel — perfect for straddle/strangle monitoring.
🔹 Automatic Symbol Builder
Auto-constructs CE/PE symbols from spot index, expiry, and strike.
Manual override supported for custom inputs.
🔹 Live BEP & Levels(Under testing)
Displays intraday CE/PE highs & lows with dotted lines.
Shows Live Break-Even Points (BEP) for the straddle — updated tick-by-tick.
Optional manual price line for quick visual references.
🔹 VWAP Support
Plots VWAP for both CE and PE options individually (toggleable).
Helps compare momentum and strength between both sides.
🔹 Point of Control (POC)
Calculates dynamic intraday POC using 1-minute price–volume density.
Updates automatically as new data streams in.
🔹 Trade Blocks (Per-Leg)
Define trade details for CALL and PUT independently:
Entry, SL, Target, Quantity, Side (Buy/Sell).
Calculates Live P&L and Status (“Target Hit”, “SL Hit”, or “Live”).(Under testing)
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
It does not constitute financial advice or trade recommendations.
Past performance is not indicative of future results.
POC Ghost LevelsPOC Ghost Levels
Disclaimer
IMPORTANT: This indicator is for educational and informational purposes only. It is NOT investment advice, financial advice, trading advice, or a recommendation to buy or sell any security or financial instrument.
Overview
Point of Control (POC) represents the price level with the highest traded volume within a period, developed by J. Peter Steidlmayer at the Chicago Board of Trade (1981-1983). POC shows where institutional traders accumulated their largest positions, acting as strong support/resistance because institutions defend these levels.
Visual Elements
POC Lines (Horizontal): Teal/green lines show active POCs; orange lines indicate mitigated (revisited) levels. The line shows institutional accumulation zones.
"✕" Symbol (Period End): Marks when the calculation period ends (daily/weekly/monthly/yearly). POCs become valid trading reference points only after period completion—the X confirms this transition.
"●" Dot (Mitigation Point): Appears when price retests a POC level (High ≥ POC ≥ Low, or close within 10% of bar range). Virgin POCs (VPCs)—POCs not yet revisited—are even stronger price attractors than regular POCs, acting like gravitational pull that increases as price approaches.
"Ghost Effect": Extended lines represent market memory. POCs act as magnets where price gravitates toward in the future, representing "fair price" where most volume traded.
Trading Theory
All markets are auction processes seeking to maximize volume. Volume is the truest indicator of the market's ability to facilitate trade. Markets not facilitating trade at a given price will move to levels that better facilitate trade. Big institutions cannot enter positions instantly—they accumulate over time. POCs reveal where these positions formed.
Trade the first POC test for highest probability success. In trending markets, POCs confirm trend legs; in ranging markets, POCs act as central magnets.
Key Literature
Steidlmayer, J.P. & Hawkins, S.B. (2003). Steidlmayer on Markets: Trading with Market Profile (2nd ed.). Wiley.
Dalton, J.F., Jones, E.T., & Dalton, R.B. (2012). Mind Over Markets: Power Trading with Market Generated Information. Wiley.
Dalton, J.F., Dalton, R.B., & Jones, E.T. (2007). Markets in Profile: Profiting from the Auction Process. Wiley.
Jardine, M. (2012). Just a Trade a Day: Simple Ways to Profit from Predictable Market Moves. Wiley Trading.
DeltaFlow Volume Profile [BigBeluga]🔵 OVERVIEW
The DeltaFlow Volume Profile builds a compact volume profile next to price and enriches every bin with flow context : bullish vs. bearish participation (%), a per-bin Delta % , an optional Delta Heat Map , and a PoC band with the bin’s absolute volume. This lets you see not just where volume clustered, but who (buyers or sellers) dominated inside each price slice.
🔵 CONCEPTS
Binned Volume Profile : Price range over a user-defined LookBack is split into Bins ; each bin aggregates traded volume.
Bull/Bear Split : Within every bin, volume is separated by candle direction into Bull Volume and Bear Volume , then normalized to % of the bin’s displayed size.
Delta % : The difference between Bull % and Bear % for the bin. Positive = buyer dominance; negative = seller dominance.
Delta Heat Map : Bin background shading that scales with both total volume strength and delta bias.
PoC (Point of Control) : The most significant bin gets a PoC band and a label with its absolute volume.
🔵 FEATURES
Profile with Flow : A clean horizontal volume bar per bin plus stacked Bull % and Bear % .
Per-Bin Delta Label : A readable “Δ xx%” tag at the start of each bin shows dominance at a glance.
Delta Heat Map : Optional gradient that intensifies with higher volume and stronger delta.
PoC Highlight : Optional PoC band colored separately, labeled with absolute volume (e.g., “1.23M”).
Configurable Inputs : LookBack, number of Bins (10–100), toggles for Delta, Heat Map, Volume Bars, and PoC color.
Readable Colors : Separate inputs for bullish (volume +) and bearish (volume –) hues.
🔵 HOW TO USE
Set the window : Choose LookBack and Bins to balance detail vs. performance (more bins = finer resolution).
Enable “Volume Bars” to display the bull/bear split as two stacked percent bars inside each bin.
High Bull % near support → constructive demand.
High Bear % near resistance → active supply.
Use Δ labels (toggle “Delta”) to quickly spot bins with clear buyer/seller control; combine with price position for confluence.
Turn on Delta Heat Map to prioritize areas with both large volume and strong imbalance.
Watch the PoC : The PoC band marks the most traded (and often magnet) level; its label shows absolute size for context.
Trade ideas :
Breakout continuation when Δ stays positive across consecutive upper bins.
Reversion risk when price enters a large bearish-Δ cluster below.
Manage risk around the PoC; reactions there can be sharp.
🔵 CONCLUSION
DeltaFlow Volume Profile upgrades a classic profile with flow intelligence. The bull/bear split, explicit Δ %, heat-weighted backdrop, and PoC volume label make dominant participation and key price shelves obvious. Use it to filter levels, time entries with imbalance, and validate breakouts or fades with objective volume-flow evidence.
Fixed Range Volume Profile"Distribution of transaction volume by price group (transaction volume by price block)"
Instructions for use (Professional Manual)
1. a basic concept
By vertical axis (price), shows the cumulative trading volume traded in the segment.
The longer the block, the more transactions took place in that price range.
Colors distinguish between buying/selling strength (green = buying advantage, red = selling advantage).
2. Key components
POC (Point of Control)
→ Longest block (most traded price segment, "key selling point").
VAH / VAL (Value Area High/Low)
→ Top/bottom segments where approximately 70% of the total volume is formed.
→ Role of "Major Support/Resistance".
High Capacity Node (HVN)
→ Significantly higher trading volumes → strong support/resistance.
Low Volume Node (LVN)
→ Low volume section → areas where prices are easily passed.
3. practical application
Find Support/Resistance
The thickest block (POC) is used as a place where prices often rebound/resist.
a trading entry/liquidation strategy
Buy if the price is supported near HVN,
When breaking through the LVN, fast movement (gap movement) can be expected.
break/goal setting
Finger = Under the LVN,
Target = Next HVN.
Judgment of trends
When the block distribution is concentrated above, "Increase to Collection Section"
If you're driven below, you're "in a downtrend to a variance section."
4. Precautions
The volume distribution is "past data based" and is not an indicator of the future.
Rather than using it alone, it is more effective to combine with Fibonacci, trend lines, and candle patterns.
In particular, in the volatile market, the LVN breakthrough → may signal a surge/fall.
In summary, this block indicator is "a map showing the most market participants at any price point".
In other words, it is useful for finding support/resistance as a tool for analyzing sales and establishing the basis for trading strategies.
POCTraderX Pro— Structure & Precision Algorithm POCTraderX Pro is a market analysis system designed to accurately identify key interest zones and price turning points. It combines advanced Price Action reading with a dynamic filtering process that adapts signals according to market volatility and internal structure.
Methodology
The algorithm analyzes the sequence of relevant highs and lows (HH, HL, LL, LH) along with the price location in relation to Point of Control levels and consolidation ranges.
It uses multi–timeframe confirmations to filter out false breakouts and optimize trade entries.
In high–volatility conditions, it automatically adjusts validation levels to maintain a favorable risk/reward ratio.
Configuration
Recommended timeframes: from 1–minute to daily, depending on the trading style.
Applicable markets: indices, forex, commodities, and cryptocurrencies.
Adjustable parameters:
Structure detection sensitivity.
Enable/disable volatility filters.
Show/hide control zones and previous ranges.
Purpose
Provide a clear reading of market structure and critical zones to help traders execute trades with greater consistency and avoid entries in low–probability areas.
Important Notes
This script is closed–source to protect its internal methodology, but it is based on an original combination of structural analysis and zone validation not available in free indicators.
It does not produce automatic buy or sell signals without context; it is intended to be integrated into a complete trading strategy.
Zero Lag Liquidity [AlgoAlpha]🟠 OVERVIEW
This script plots liquidity zones with zero lag using lower-timeframe wick profiles and high-volume wicks to mark key price reactions. It’s called Zero Lag Liquidity because it captures significant liquidity imbalances in real time by processing lower-TF price-volume distributions directly inside the wick of abnormal candles. The tool builds a volume histogram inside long upper/lower wicks, then calculates a local Point of Control (POC) to mark the price where most volume occurred. These levels act as visual liquidity zones, which can trigger labels, break signals, and trend detection depending on price interaction.
🟠 CONCEPTS
The core concept relies on identifying high-volume candles with unusually long wicks—often a sign of opposing liquidity. When a large upper or lower wick appears with a strong volume spike, the script builds a histogram of lower-timeframe closes and volumes inside that wick. It bins the wick into segments, sums volume per bin, and finds the POC. This POC becomes the liquidity level. The script then dynamically tracks whether price breaks above or rejects off these levels, adjusts the active trend regime accordingly, and highlights bars to help users spot continuation or reversal behavior. The logic avoids repainting or subjective interpretation by using fixed thresholds and lower-TF price action.
🟠 FEATURES
Dynamic liquidity levels rendered at POC of significant wicks, colored by bullish/bearish direction.
Break detection that removes levels once price decisively crosses them twice in the same direction.
Rejection detection that plots ▲/▼ markers when price bounces off levels intrabar.
Volume labels for each level, shown either as raw volume or percentage of total level volume.
Candle coloring based on trend direction (break-dominant).
🟠 USAGE
Use this indicator to track where liquidity has most likely entered the market via abnormal wick events. When a long wick forms with high volume, the script looks inside it (using your chosen lower timeframe) and marks the most traded price within it. These levels can serve as expected reversal or breakout zones. Rejections are marked with small arrows, while breaks trigger trend shifts and remove the level. You can toggle trend coloring to see directional bias after a breakout. Use the wick multiplier to control how selective the detector is (higher = stricter). Alerts and label modes help customize the signal for different asset types and chart styles.
Delta OrderFlow Sweep & Absorption Toolkit @MaxMaserati 2.0Delta OrderFlow Sweep & Absorption Toolkit @MaxMaserati 2.0
This is a professional-grade smart money order flow analysis tool that reveals smart money activity, volume absorption patterns, and liquidity sweeps in real-time. It combines advanced market microstructure concepts into one comprehensive toolkit that shows you where and how institutions are trading.
A CLEAR VISUALIZATION OF THE INDICATOR CAPACITY
🔥 Core Features Explained
1. Delta Order Flow Analysis
Tracks cumulative buying vs selling pressure (Delta)
🔥BUY/🔥SELL labels show aggressive order flow imbalances
Real-time market sentiment based on actual volume flow
Session delta tracking with automatic resets
2. Institutional Detection
🏦↑/🏦↓ labels identify large block trades and smart money activity
Automatic threshold detection based on volume patterns
Smart money flow tracking with institutional bias indicators
Institutional buyers getting in
3. Advanced Sweep Detection
SWEEP↑/SWEEP↓ labels detect stop-loss hunts with volume confirmation
Wick rejection analysis ensures proper sweep identification
Institutional reaction confirmation - shows when opposite side takes control
4. Volume Absorption Analysis
ABSORB↑/ABSORB↓ shows successful volume breakthroughs
H↑BuV Fail/H↑BeV Fail shows institutional volume failures (reversal signals)
Context-aware analysis based on recent institutional activity
Bullish Absorption scenario
Bearish Absorption scenario
5. Point of Control (POC) Levels
Dynamic support/resistance based on executed volume
POC SUP (Green) / POC RES (Purple)
POC Support Broken
6. Net Delta Bubbles
Visual representation of net buying/selling bias
Positive Delta (Green) = Bullish bias bubbles below candles
Negative Delta (Red) = Bearish bias bubbles above candles
6 positioning methods with full customization
The Net Delta Bubbles allow to see clearer, the highest reversal/continuity areas
7. Smart Alert System
Large order flow imbalances
Institutional activity detection
Stop sweep confirmations
Volume absorption patterns
📊 How to Read the Signals
🔥BUY (below candles) = Aggressive institutional buying
🔥SELL (above candles) = Aggressive institutional selling
Threshold: Customizable imbalance percentage (default 75%)
🏦 Institutional Labels:
🏦↑ (below candles) = Large institutional buying detected
🏦↓ (above candles) = Large institutional selling detected
Volume: Based on block trade size detection
⚡ Sweep Labels:
SWEEP↑ (below candles) = Stop hunt below, expect reversal UP
SWEEP↓ (above candles) = Stop hunt above, expect reversal DOWN
Confirmation: Requires wick rejection + volume confirmation
🎯 Absorption Labels:
ABSORB↑ = True bullish breakthrough above institutional levels
ABSORB↓ = True bearish breakdown below institutional levels
H↑BuV Fail (Orange) = Bullish volume failed = Bearish signal
H↑BeV Fail (Blue) = Bearish volume failed = Bullish signal
💡 Trading Strategies
🟢 Bullish Setups:
🔥BUY + 🏦↑ = Strong institutional buying confirmation
SWEEP↓ + High volume = Stop hunt below, enter long on reversal
H↑BeV Fail = Bearish volume failed, bullish reversal signal
POC Support holding + positive delta = Bounce play
ABSORB↑ = Successful break above resistance
🔴 Bearish Setups:
🔥SELL + 🏦↓ = Strong institutional selling confirmation
SWEEP↑ + High volume = Stop hunt above, enter short on reversal
H↑BuV Fail = Bullish volume failed, bearish reversal signal
POC Resistance holding + negative delta = Rejection play
ABSORB↓ = Successful break below support
⚡ High-Probability Entries:
Multiple confirmations on same candle/area
Volume spikes with directional bias
Failed institutional attempts (reversal plays)
POC level interactions with delta confirmation
📱 Best Practices
🎯 Timeframe Usage:
1-5 minutes: Scalping with institutional confirmation
15-30 minutes: Day trading with sweep detection
1-4 hours: Swing trading with POC levels
Daily: Position trading with major delta shifts
🔧 Optimization Tips:
Start with defaults and adjust sensitivity based on your instrument
Use multiple confirmations - don't trade single signals
Watch volume bubbles for additional bias confirmation
Enable alerts for key institutional activity
Combine with price action for best results
⚠️ Important Notes:
No repainting - all signals are final when candle closes
Volume-based - works best on liquid instruments
Context matters - consider overall market conditions
Risk management - use proper position sizing
TradingIQ - OrderFlow IQIntroducing “OrderFlow IQ”
OrderFlow IQ is an all-in-one order-flow and volume-profiling suite crafted to bring true market microstructure to your TradingView charts. It bundles footprints, per-bar and intra-bar delta analytics, class-based delta tracking, adaptive volume profiles, bubble-style trade tapes, live time-and-sales feeds, cumulative-volume fight meters, iceberg detection, and more—all driven by a single, user-friendly interface.
Features
The list below details an ever=expanding list of the indicators capabilities; more to come in the future!
Tick-based Footprints
Imbalance and stacked imbalance detection
Tick-based chronicled volume profile
Delta classification (small order, medium order, and block order delta)
Tick-based order flow bubble tape
Live order feed with total buying volume against total selling volume
Tick-based CVD
Iceberg order detection
Delta class lines
Tick-based bar statistics
Key Components and Their Functions
Data Granularity
• 1-Tick / 1-Second / 1-Minute modes let you choose the resolution of every calculation. On true tick charts you get genuine tick-by-tick precision; on second charts you see every intra-second print; on anything else it falls back to minute bars.
Footprint Engine
Bid vs Ask Volume Columns – Each candle is sliced into tick-level price rows showing buy-volume, sell-volume, total volume, delta and delta%.
CVD-Level Columns – Optionally color each row by net cumulative delta instead of raw volume to spotlight buying or selling pressure trends.
Imbalance Detection – Highlight rows where one side exceeds your % threshold, with “stacked” imbalances calling out multi-row alignment ahead of potential breaks.
Value Area & POC – Automatically compute and draw the 70% value area (VAH/VAL) and mark the Point of Control per session or any chosen timeframe.
Footprint
The image above shows the volume profiling data calculated for each row across the footprint engine.
Delta: Shows the net difference between buying and selling
Delta Percentage: Calculates delta as a percentage of total volume
Total Volume: The total volume at the price block
Buy Volume: The total buying volume at the price block
Sell Volume: The total selling volume at the price block
Additionally, you can select to only show buying volume and selling volume at each price block, as shown in the image above.
POC
The image above shows the visuals used to mark the POC of the footprint. The POC is marked yellow by default; the color can be changed in the settings.
Value Area
The image above shows the visuals used to mark the value area of the footprint.
Imbalance Detection
The image above shows the Footprint Engine detecting and marking buying/selling imbalances.
Stacked Imbalances
The image above shows the Footprint Engine detecting and marking stacked imbalances. Stacked imbalances are shown as consecutive, small blocks to the right of the footprint.
CVD Levels
The image above shows the footprint engine calculating CVD across the footprint, rather than net delta that resets bar by bar. Traders can enable the "Use CVD Levels" setting to have net delta persist across price bars, allowing traders to see the net CVD across various price blocks as the footprint develops.
Delta Class Statistics
With the inclusion of tick volume, The Delta Class Statistics component of the indicator classifies volume delta by order size to give traders detailed insights into whether small players are buying/selling and whether big players are buying/selling.
The image above shows a full view of the Delta Class Statistics feature.
The image above further explains the Delta Class Statistics view.
Orders are distributed (classified) across various order size amounts. From here, a rolling CVD is calculated across each order size. This feature gives traders detailed insights into whether big money is buying/selling (big player sentiment) and whether small money is buying/selling (small player sentiment).
Analysis
The image above shows a net-negative CVD for the session for both small orders (small money) and big orders (big money), while "medium" sized orders are currently at a net-positive CVD.
Consequently, sentiment for big players is bearish.
Additionally, small triangles are printed alongside each Delta Class box for each bar. You can hover over these labels with your cursor to see the net delta for the bar for each order size.
Bar Delta Statistics
With the inclusion of tick data, OrderFlow IQ is designed to generate detailed tick-based bar statistics for each candlestick.
The image above shows the feature in action.
Metrics
Volume: Total volume for the bar
Bar VWAP: The individual bar's VWAP
Delta: Net delta for the bar
Delta %: Delta % of the bar
Max Delta: The maximum positive delta achieved during the bar
Min Delta: The lowest negative delta achieved during the bar
CVD: Cumulative volume delta measurement by the bar
Buy Volume: Total buying volume for the bar
Sell Volume: Total selling volume for the bar
Iceberg Detection (Tick-Data Only)
An Iceberg Order is a type of large trading order that is broken up into much smaller visible portions. Only a small part of the order is displayed in the public order book at any given time, while the rest is hidden (like an iceberg where only the tip is above water).
Why are Iceberg Orders Important?
Minimizing Market Impact
If a trader were to post a 10,000-share sell order openly, the market would immediately react:
Buyers might panic, thinking there's a rush to sell.
Sellers could undercut the price aggressively.
This would likely drive the price down before the large order even finishes executing.
By revealing only a small portion at a time, Iceberg orders help avoid spooking the market and allow the trader to sell closer to the original price.
Hiding Trading Intentions
Markets are highly sensitive to order flow — the balance of buying and selling pressure.
If competitors, market makers, or algorithmic traders see a massive order, they might:
Front-run it (selling before it completes to profit from the expected price drop).
Reassess their own models about supply/demand imbalances.
Iceberg orders protect against this by masking true supply or demand.
Our Iceberg Detection Model
Using a proprietary iceberg order detection algorithm, OrderFlow IQ is capable of detecting/alerting iceberg orders when they occur.
The image above shows the Iceberg Detector in action.
When an iceberg order is identified, the size of the order in the quote currency, price of execution, and number of executions will be displayed.
It's important to set alerts for this feature, as iceberg orders aren't frequent and are easy to miss when away from the chart.
IQ Volume Profile (Chronicled Volume Profile)
OrderFlow IQ generates a Chronicled Volume Profile to give traders detailed insights into net delta by price level, but also historical net delta by price level.
The image above shows the feature in action. While the chronicled volume profile is seemingly a normal volume profile, the narrow-lines across the chronicle profile show historical min/max delta at each price level.
The image above exemplifies the feature.
The wide price blocks show the current net delta at each price area, while the small lines (with a circle at the end) show historical min/max delta at the price level.
This tool allows traders to see if buying/selling always dominated a price level, or if control of the price level changed hands between buyers/sellers throughout development of the profile.
Additionally, traders can hover over the small circles on the profile with their cursor to see the detailed delta statistics at each price area. The statistics will show the minimum delta at the price area, maximum delta, and the live change in delta.
Order Feed
OrderFlow IQ is capable of generating a live order feed with various metrics to assist real time orderflow traders in their analysis.
The image above exemplifies the feature.
Bid/Ask: The bid price and ask price of the current bar
Buys | Price: The size of a buy order and price of execution
Sells | Price: The size of a sell order and price of execution
▴ Vol: Cumulative buying volume (in quote currency) for the feed
▾ Vol: Cumulative selling volume (in quote currency) for the feed
Speed of tape: The average speed between each order fill
OrderFlow Bubble Tape
OrderFlow IQ also displays a traditional orderflow indicator, also known as OrderFlow Bubble Tape.
The image above shows the feature in action.
Orderflow Bubble Tape is a visual tool that shows recent market trades ("tape") as bubbles, where each bubble represents a trade.
The size of each bubble indicates the trade size (volume), and the color shows whether the trade was a buy (aggressive at the ask) or sell (aggressive at the bid).
Instead of showing trades as plain text (like a traditional tape), the bubble format makes it easier to spot bursts of aggressive buying or selling visually.
Clusters of large, fast bubbles in one color suggest momentum or imbalances in order flow, often signaling short-term price pressure.
Traders use Bubble Tape to quickly read supply/demand dynamics, identify hidden buyers/sellers (like iceberg orders), and anticipate short-term price moves.
Blue Bubble = Buy
Red Bubble = Sell
The larger the bubble, the larger the order. Traders can hover over each bubble with their cursor to see the exact size of the order.
Delta Class Lines
OrderFlow IQ shows Live Delta Class Lines grouped by order size buckets:
The blue line shows delta coming only from very large orders (100K–10B in size).
The red line shows delta coming from medium-large orders (50K–100K size).
The green line shows delta from small to medium orders (0–50K size).
Each line is the cumulative net delta for its class — meaning it is adding the buy and sell imbalances only from trades of that size class, live as trades occur.
For example, when a 30K-sized aggressive buy hits, it adds to the green line; if a 70K-sized sell hits, it subtracts from the red line.
The number next to each label is the current net delta value for that class, telling you whether buyers or sellers are dominating at that order size.
• Three Custom Dollar Brackets – Define “small,” “mid,” and “block” trade-size ranges (e.g., 0–50 K, 50 K–100 K, > 100 K).
• Live Streaming Lines – While a bar is forming, watch real-time totals for each bracket plotted as vertical columns or stair-step lines on the chart edge.
CVD
OrderFlow IQ also displays CVD as either candles or a line.
The image above shows the candles visualization for CVD. CVD can be calculated using tick data, 1-second bars, or 1-minute bars. The higher the granularity the more accurate the measurement.
More Features To Come
New features and calculations will be added to OrderFlow IQ based on community feedback, so feel free to share any requests you might have!
Summary
OrderFlow IQ brings a full suite of order-flow analytics into one Pine Script: footprints, delta analytics, dollar-bracket classes, adaptive profiles, bubble tapes, live feeds, CVD meters, and iceberg scans. Its unified Data Granularity switch and Preset System let you toggle entire dashboards with a click—scalpers, intraday traders, and long-term analysts alike can dial in the exact microstructure view they need without switching scripts. Publish once, share your preset layouts, and your TradingView community gains plug-and-play access to professional-grade order-flow tools—no extra installations or feeds required.
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CVD Divergence & Volume ProfileThis Pine Script indicator, named "CVD Divergence & Volume Profile," is designed to identify potential trading opportunities by combining Cumulative Volume Delta (CVD) divergence with Volume Profile levels and an optional Simple Moving Average (SMA) trend filter. It plots signals directly on the price chart.
Here's a breakdown of what each component does and how to potentially trade with it:
1. Cumulative Volume Delta (CVD) Divergence
What it does: CVD measures the cumulative difference between buying and selling volume. A rising CVD indicates more buying pressure, while a falling CVD indicates more selling pressure. Divergence occurs when the price action contradicts the CVD's direction, suggesting a potential shift in momentum or trend reversal.
Bearish Divergence: The price makes a higher high, but the CVD makes a lower high (or fails to make a new high). This suggests that despite the price increasing, the underlying buying pressure is weakening.
Bullish Divergence: The price makes a lower low, but the CVD makes a higher low (or fails to make a new low). This suggests that despite the price decreasing, the underlying selling pressure is weakening.
Visualization:
Red triangle pointing down on the chart indicates a Bearish Divergence signal.
Green triangle pointing up on the chart indicates a Bullish Divergence signal.
2. Volume Profile Levels (VAH, VAL, POC)
What it does: The indicator calculates simplified Volume Profile levels over a user-defined vp_range (number of candles). These levels represent areas where significant trading activity has occurred:
VAH (Value Area High): The upper boundary of the "Value Area," where 70% of the volume traded.
VAL (Value Area Low): The lower boundary of the "Value Area," where 70% of the volume traded.
POC (Point of Control): The price level within the vp_range where the most volume was traded.
Significance: These levels often act as significant support and resistance zones.
Visualization:
Orange lines for VAH and VAL.
Yellow line for POC.
Zone Proximity (zone_thresh): The indicator only generates divergence signals if the current close price is within a specified percentage zone_thresh of either VAH, VAL, or POC. This filters signals to areas of high liquidity and potential turning points.
3. Trend Filter (SMA)
What it does: This is an optional filter (use_trend_filter) that uses a Simple Moving Average (sma_period, default 200).
Significance: It helps ensure that divergence signals are traded in alignment with the broader market trend, potentially increasing their reliability.
For long signals (bullish divergence), the price (close) must be above the SMA (indicating an uptrend).
For short signals (bearish divergence), the price (close) must be below the SMA (indicating a downtrend).
Visualization: A blue line on the chart representing the SMA.
How to Trade with It (Potential Strategies)
The indicator aims to provide high-probability entry points by combining multiple confirming factors. Here's how you might interpret and trade the signals:
Identify Divergence: Look for the triangle signals on your chart (red for bearish, green for bullish).
Confirm Proximity to Volume Profile Levels: The signal itself confirms that the price is near a significant Volume Profile level (VAH, VAL, or POC). These are areas where price often reacts.
Bullish Signal (Green Triangle): This suggests buying momentum is returning after a price decline, especially when the price is near VAL or POC, which might act as support.
Bearish Signal (Red Triangle): This suggests selling momentum is increasing after a price rally, especially when the price is near VAH or POC, which might act as resistance.
Check Trend Alignment (SMA Filter):
For a long trade: You would ideally want to see a green triangle (bullish divergence) while the price is above the blue SMA line. This indicates a bullish divergence confirming a potential bounce within an existing uptrend.
For a short trade: You would ideally want to see a red triangle (bearish divergence) while the price is below the blue SMA line. This indicates a bearish divergence confirming a potential rejection within an existing downtrend.
Entry and Exit Considerations:
Entry: Consider entering a trade on the candle where the signal appears, or on the subsequent candle for confirmation.
Stop Loss: For a long trade, a logical stop-loss could be placed below the lowest point of the divergence, or below the VAL/POC if the signal occurred near it. For a short trade, above the highest point of the divergence or VAH/POC.
Take Profit: Targets could be set at the opposite Volume Profile level, previous swing highs/lows, or using a fixed risk-reward ratio.
Example Trading Scenario:
Long Trade: You see a green triangle (bullish divergence) printed on the chart. You notice the price is currently at the VAL (orange line). You check the blue SMA line and confirm that the price is above it (uptrend). This confluence of factors (bullish divergence, support at VAL, and uptrend) provides a strong potential long entry signal. You might enter, place your stop loss just below VAL, and target VAH or the next resistance level.
Short Trade: You see a red triangle (bearish divergence). The price is at the VAH (orange line). The price is also below the blue SMA line (downtrend). This suggests a potential short entry. You might enter, place your stop loss just above VAH, and target VAL or the next support level.
ZenAlgo - AvengerThe ZenAlgo - Avenger indicator provides a multi-layered view of market behavior by combining volume delta analytics, trend-following EMAs, average price comparison, and price-volume profiling into a unified overlay. It is designed to visually assist traders in identifying areas of interest, momentum shifts, and potential reversals using cumulative data from both spot and perpetual markets.
Volume Delta Calculation
This indicator computes delta as the difference between estimated buy and sell volumes using volume data from multiple centralized exchanges. It distinguishes between spot and perpetual volumes, combining them into total volume.
To estimate buying and selling volume from raw volume data, candle structure is broken down into body and wicks. The body is interpreted as the core directional movement (buy/sell), while the wicks are treated as uncertain or counteraction. This segmentation helps infer the likely share of buying and selling within each bar.
The delta is calculated per bar and then aggregated over a lookback period (default 14 bars) to generate a cumulative delta. This approach provides a smoothed value of volume pressure trends over time.
A moving average is applied to the delta values (using selectable MA types like EMA or SMA) to define signal crossovers and suppress noise.
Delta Visualization
To contextualize delta within price action, the delta is scaled dynamically (by ATR or user-defined value) and plotted as a band around the closing price. Positive delta expands upward from price, negative delta downward. This provides a visual overlay that reflects net market pressure in context with price movement.
In cases of extreme delta (threshold set at 80% of recent maximum), the indicator marks spike bars using symbols to indicate significant directional pressure.
Identification of Noteworthy Conditions
The indicator highlights points on the chart where specific conditions are met based on the interaction between volume delta and its moving average. These conditions may align with moments of market pressure imbalance and directional movement, but they are not to be interpreted as trade signals in isolation.
Instead, these chart markers serve as visual flags for potential interest. They are intended to draw the user’s attention to scenarios where:
The delta crosses above or below its moving average, suggesting a potential shift in volume pressure.
The cumulative delta supports the direction of this crossover.
Optional filters can further restrict these markings to periods where:
The short-term trend (as inferred from EMA slope) supports the direction.
Volume is elevated relative to a recent average.
A user-defined cooldown period prevents multiple markings within short succession to avoid clutter.
It is essential to underscore that these markers do not constitute buy or sell advice . Their role is diagnostic , helping the trader to identify potential moments of interest which should be analyzed in conjunction with broader context, such as trend structure, price action, support/resistance levels, or external market data.
EMA Structure
Six EMAs with fixed lengths (13 to 56) are plotted and colored dynamically based on the most recent crossover between the fastest and slowest (EMA1 and EMA6). These EMAs help visualize short- to mid-term trends. The crossover itself is marked with symbols, with vertical offset based on ATR to maintain chart readability.
Average Line (AVG)
The indicator also calculates an average price based on a fixed window (100 bars). This is not a standard moving average but rather a raw average of recent prices stored in a circular buffer. The average is plotted, and its relative distance to the current price is labeled as a percentage. This feature serves as a simplified representation of fair value or mean reversion anchor.
EMA6 vs AVG Cross
Another layer of point of interest detection involves EMA6 crossing the AVG line. This crossover is only considered valid if EMA6 shows slope consistency in the crossing direction. These events are marked using symbols and offset vertically to avoid overlapping price action.
Divergence Detection
The script detects both regular and hidden divergences between price and delta:
Regular divergences are defined when price makes a higher high or lower low, while delta fails to confirm (makes a lower high or higher low).
Hidden divergences occur when price retraces (lower high or higher low), but delta moves against this retracement, indicating underlying strength or weakness.
Divergence points are labeled with "R" (regular) or "H" (hidden) and appear at local pivot highs or lows. The number of visible divergence labels can be limited for chart clarity.
POC and nPOC Calculations
The script includes a simplified volume profile implementation, calculating:
POC (Point of Control): the price level with the highest volume for the given period.
nPOC (non-tested POC): historical POCs that have not yet been revisited by price.
Price levels are bucketed into rows (user-defined), and volume per bucket is tracked to identify the POC. Upon a new period (e.g., day, week), a horizontal POC line is drawn. Once tested by price, the line’s appearance changes (color fades, label shrinks), helping users distinguish between untouched and touched levels.
Limits are enforced on the number of retained POCs and their maximum distance from current bars to optimize performance and chart readability.
Exchange Aggregation
Volume data is aggregated across major exchanges. This ensures that the delta calculation captures a broader market picture beyond a single venue, reducing exchange-specific noise.
How to Interpret Values
Delta Band: Wide bands indicate strong directional imbalance. Narrow bands suggest indecision or low volume.
EMA Crossover Symbols: Appear on directional shifts in moving averages. Multiple EMAs reinforcing the same slope typically indicate stronger trend.
AVG Line: Represents average price over recent history. Large deviations can indicate overextension or potential mean reversion.
Divergences: Regular ones may point to weakening momentum; hidden ones can suggest continuation despite corrective price action.
POC / nPOC: Key volume-based support/resistance levels. Untested nPOCs can act as magnets for price retests.
How to Best Use This Indicator
Use in conjunction with trend context (e.g., higher timeframe EMAs) to avoid counter-trend indications.
Treat delta spikes as caution zones—especially if they occur at known support/resistance.
Watch for divergences as early warning signs before price reverses.
Use POC/nPOC as target levels, especially if aligned with delta signals.
Apply volume and trend filters to reduce noise on shorter timeframes.
Added Value
Multi-exchange volume aggregation makes the delta calculation more robust.
Real-time cumulative delta overlaid directly on the price chart provides immediate context.
Points of interest on chart are conservative and filterable, intended to reduce false positives.
The combination of delta, trend-following EMAs, fair value line, and volume profile data is rarely found in one overlay script.
POC/nPOC visualization based on real traded volume helps identify high-interest zones for future price interaction.
Why Is It Worth Paying For
While free alternatives may provide partial insights (e.g., basic delta or single EMA crossovers), this indicator integrates multiple domains—delta, divergence, average price, trend overlays, and profile levels—into a coherent, optimized chart tool. The value lies not just in having these tools, but in how they are synchronized and visualized.
Furthermore, sourcing and synchronizing volume data from multiple exchanges for delta estimation is not straightforward in Pine Script and adds to the indicator's complexity and utility.
Disclaimers and Limitations
Delta estimation is based on candle structure and assumes wick/body distribution reflects buyer/seller activity, which may not always be precise.
Multi-exchange volume data relies on availability via TradingView’s request.security() function; if exchange data is missing or delayed, results may be incomplete.
Divergences do not guarantee reversals—should be used as part of a broader analysis framework.
On illiquid instruments or exotic pairs, the value of delta and volume-based analytics may be reduced due to unreliable volume.
Volume Profile + Price Action Strategy (POC-based)This indicator combines volume dynamics, price action patterns, and a simplified Point of Control (POC) to highlight potential high-probability trade zones.
🔍 Key Features
POC-Based Logic
Plots the POC from the most recent closed 10-minute candle as a horizontal level for intraday structure.
Volume Spike Detection
Highlights unusual activity based on volume compared to the average of the last N candles.
Effort vs. Result Analysis
Based on Wyckoff-inspired logic:
Absorption: Large volume, small body → possible buyer/seller absorption
False Move: Small volume, large body → potential fakeout
Price Action Recognition Detects:
Inside Bars
Pin Bars
Engulfing Candles
Signal Highlights
🔺 Absorption Signals (below bar, teal triangle)
🔻 False Move Signals (above bar, orange triangle)
🔷 POC Line
⚙️ Customizable Inputs
You can control signal sensitivity with these inputs:
Volume Spike Multiplier
Raise to filter only extreme volume spikes
→ Recommended: 2.0 to 3.0 for cleaner setups
Absorption Body Ratio
Lower to detect only very small bodies (tight candles)
→ Try 0.3 to 0.4 for stricter absorption logic
False Move Body Ratio
Raise to catch only large candles on low volume
→ Use 2.0+ to filter weak moves
🧠 How to Use
Use in confluence with:
Support/Resistance
VWAP or moving averages
Session opens/closes
Best on 10-minute charts, but adjustable
✅ Signal Tuning Tips
Want fewer but cleaner signals?
Increase Volume Spike Multiplier: 2.5+
Decrease Absorption Body Ratio: 0.3
Increase False Move Ratio: 2.0+
Want more frequent signals?
Lower Volume Multiplier: 1.2–1.5
Raise Absorption Ratio: 0.6+
Lower False Move Ratio: 1.2–1.4
📊 Recommended Timeframe
Optimized for 10-minute charts
Works intraday, especially around session opens and POC re-tests
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Past performance is not indicative of future results. Always do your own research and consult a licensed financial advisor before making trading decisions.
Use at your own risk.
RSI Support & Resistance Breakouts with OrderblocksThis tool is an overly simplified method of finding market squeeze and breakout completely based on a dynamic RSI calculation. It is designed to draw out areas of price levels where the market is pushing back against price action leaving behind instances of short term support and resistance levels you otherwise wouldn't see with the common RSI.
It uses the changes in market momentum to determine support and resistance levels in real time while offering price zone where order blocks exist in the short term.
In ranging markets we need to know a couple things.
1. External Zone - It's important to know where the highs and lows were left behind as they hold liquidity. Here you will have later price swings and more false breakouts.
2. Internal Zone - It's important to know where the highest and lowest closing values were so we can see the limitations of that squeeze. Here you will find the stronger cluster of orders often seen as orderblocks.
In this tool I've added a 200 period Smoothed Moving Average as a trend filter which causes the RSI calculation to change dynamically.
Regular Zones - without extending
The Zones draw out automatically but are often too small to work with.
To solve this problem, you can extend the zones into the future up to 40 bars.
This allows for more visibility against future price action.
--------------------------------------------
Two Types of Zones
External Zones - These zones give you positioning of the highest and lowest price traded within the ranging market. This is where liquidity will be swept and often is an ultimate breaking point for new price swings.
How to use them :
External Zones - External zones form at the top of a pullback. After this price should move back into its impulsive wave.
During the next corrective way, if price breaches the top of the previous External Zone, this is a sign of trend weakness. Expect a divergence and trend reversal.
Internal Zones - (OrderBlocks) Current price will move in relation to previous internal zones. The internal zone is where a majority of price action and trading took place. It's a stronger SQUEEZE area. Current price action will often have a hard time closing beyond the previous Internal Zones high or low. You can expect these zones to show you where the market will flip over. In these same internal zones you'll find large rejection candles.
**Important Note** Size Doesn't Matter
The size of the internal zone does not matter. It can be very small and still very powerful.
Once an internal zone has been hit a few times, its often not relevant any longer.
Order Block Zone Examples
In this image you can see the Internal Zone that was untouched had a STRONG price reaction later on.
Internal Zones that were touched multiple times had weak reactions later as price respected them less over time.
Zone Overlay Breakdown
The Zones form and update in real time until momentum has picked up and price begins to trend. However it leaves behind the elements of the inducement area and all the key levels you need to know about for future price action.
Resistance Fakeout : Later on after the zone has formed, price will return to this upper zone of price levels and cause fakeouts. A close above this zone implies the market moves long again.
Midline Equilibrium : This is simply the center of the strongest traded area. We can call this the Point of Control within the orderblock. If price expands through both extremes of this zone multiple times in the future, it eliminates the orderblock.
Support Fakeout : Just like its opposing brother, price will wick through this zone and rip back causing inducement to trap traders. You would need a clear close below this zone to be in a bearish trend.
BARCOLOR or Candle Color: (Optional)
Bars are colored under three conditions
Bullish Color = A confirmed bullish breakout of the range.
Bearish Color = A confirmed bearish breakout of the range.
Squeeze Color = Even if no box is formed a candle or candles can have a squeeze color. This means the ranging market happened within the high and low of that singular candle.
OG Volume PowerDescription:
The OG Volume Power is an elite-level volume analysis suite built for identifying momentum surges, trend continuation, and buyer/seller imbalances at critical price levels. It combines real-time VWAP tracking, a dynamic Point of Control (POC), and volume delta clusters to give traders a complete picture of price and volume interaction.
🔍 Key Features:
Real-Time VWAP:
Tracks volume-weighted average price to identify mean reversion and intraday fair value zones. Ideal for institutional-level entries and exits.
Dynamic POC (Point of Control):
Automatically finds the price level with the highest volume over the last N candles (default 50), helping traders pinpoint where market participants are most committed.
Buyer/Seller Volume Delta Clusters:
Highlights imbalances between buying and selling pressure using bullish and bearish volume deltas that exceed the 20-bar volume average — excellent for momentum detection and early trend recognition.
⚙️ How It Works:
Green triangle: Buyer surge (bullish delta + above average volume)
Red triangle: Seller surge (bearish delta + above average volume)
Magenta line: Dynamic POC (highest volume price over recent candles)
Orange line: VWAP (acts as a magnetic force for price)
📈 Best For:
Intraday scalping or swing trading on SPY, QQQ, BTC, or Forex
Volume flow confirmation before breakout entries
Filtering false breakouts with delta strength signals
🧠 Pro Tip:
Use OG Volume Power alongside your trend indicators (like OG EMA Stack or OG Supertrend) to confirm that volume is backing the move. Look for surges near VWAP or POC zones for sniper-level entries.
Volume Profile [ActiveQuants]The Volume Profile indicator visualizes the distribution of trading volume across price levels over a user-defined historical period. It identifies key liquidity zones, including the Point of Control (POC) (price level with the highest volume) and the Value Area (price range containing a specified percentage of total volume). This tool is ideal for traders analyzing support/resistance levels, market sentiment , and potential price reversals .
█ CORE METHODOLOGY
Vertical Price Rows: Divides the price range of the selected lookback period into equal-height rows.
Volume Aggregation: Accumulates bullish/bearish or total volume within each price row.
POC: The row with the highest total volume.
Value Area: Expands from the POC until cumulative volume meets the user-defined threshold (e.g., 70%).
Dynamic Visualization: Rows are plotted as horizontal boxes with widths proportional to their volume.
█ KEY FEATURES
- Customizable Lookback & Resolution
Adjust the historical period ( Lookback ) and granularity ( Number of Rows ) for precise analysis.
- Configurable Profile Width & Horizontal Offset
Control the relative horizontal length of the profile rows, and set the distance from the current bar to the POC row’s anchor.
Important: Do not set the horizontal offset too high. Indicators cannot be plotted more than 500 bars into the future.
- Value Area & POC Highlighting
Set the percentage of total volume required to form the Value Area , ensuring that key volume levels are clearly identified.
Value Area rows are colored distinctly, while the POC is marked with a bold line.
- Flexible Display Options
Show bullish/bearish volume splits or total volume.
Place the profile on the right or left of the chart.
- Gradient Coloring
Rows fade in color intensity based on their relative volume strength .
- Real-Time Adjustments
Modify horizontal offset, profile width, and appearance without reloading.
█ USAGE EXAMPLES
Example 1: Basic Volume Profile with Value Area
Settings:
Lookback: 500 bars
Number of Rows: 100
Value Area: 70%
Display Type: Up/Down
Placement: Right
Image Context:
The profile appears on the right side of the chart. The POC (orange line) marks the highest volume row. Value Area rows (green/red) extend above/below the POC, containing 70% of total volume.
Example 2: Total Volume with Gradient Colors
Settings:
Lookback: 800 bars
Number of Rows: 100
Profile Width: 60
Horizontal Offset: 20
Display Type: Total
Gradient Colors: Enabled
Image Context:
Rows display total volume in a single color with gradient transparency. Darker rows indicate higher volume concentration.
Example 3: Left-Aligned Profile with Narrow Value Area
Settings:
Lookback: 600 bars
Number of Rows: 100
Profile Width: 45
Horizontal Offset: 500
Value Area: 50%
Profile Placement: Left
Image Context:
The profile shifts to the left, with a tighter Value Area (50%).
█ USER INPUTS
Calculation Settings
Lookback: Historical bars analyzed (default: 500).
Number of Rows: Vertical resolution of the profile (default: 100).
Profile Width: Horizontal length of rows (default: 50).
Horizontal Offset: Distance from the current bar to the POC (default: 50).
Value Area (%): Cumulative volume threshold for the Value Area (default: 70%).
Volume Display: Toggle between Up/Down (bullish/bearish) or Total volume.
Profile Placement: Align profile to the Right or Left of the chart.
Appearance
Rows Border: Customize border width/color.
Gradient Colors: Enable fading color effects.
Value Area Colors: Set distinct colors for bullish and bearish Value Area rows.
POC Line: Adjust color, width, and visibility.
█ CONCLUSION
The Volume Profile indicator provides a dynamic, customizable view of market liquidity. By highlighting the POC and Value Area, traders can identify high-probability reversal zones, gauge market sentiment, and align entries/exits with key volume levels.
█ IMPORTANT NOTES
⚠ Lookback Period: Shorter lookbacks prioritize recent activity but may omit critical levels.
⚠ Horizontal Offset Limitation: Avoid excessively high offsets (e.g., close to ±300). TradingView restricts plotting indicators more than 500 bars into the future, which may truncate or hide the profile.
⚠ Risk Management: While the indicator highlights areas of concentrated volume, always use it in combination with other technical analysis tools and proper risk management techniques.
█ RISK DISCLAIMER
Trading involves substantial risk. The Volume Profile highlights historical liquidity but does not predict future price movements. Always use stop-loss orders and confirm signals with additional analysis. Past performance is not indicative of future results.
📊 Happy trading! 🚀
Liquidity Sweep Filter Strategy [AlgoAlpha X PineIndicators]This strategy is based on the Liquidity Sweep Filter developed by AlgoAlpha. Full credit for the concept and original indicator goes to AlgoAlpha.
The Liquidity Sweep Filter Strategy is a non-repainting trading system designed to identify liquidity sweeps, trend shifts, and high-impact price levels. It incorporates volume-based liquidation analysis, trend confirmation, and dynamic support/resistance detection to optimize trade entries and exits.
This strategy helps traders:
Detect liquidity sweeps where major market participants trigger stop losses and liquidations.
Identify trend shifts using a volatility-based moving average system.
Analyze volume distribution with a built-in volume profile visualization.
Filter noise by differentiating between major and minor liquidity sweeps.
How the Liquidity Sweep Filter Strategy Works
1. Trend Detection Using Volatility-Based Filtering
The strategy applies a volatility-adjusted moving average system to determine trend direction:
A central trend line is calculated using an EMA smoothed over a user-defined length.
Upper and lower deviation bands are created based on the average price deviation over multiple periods.
If price closes above the upper band, the strategy signals an uptrend.
If price closes below the lower band, the strategy signals a downtrend.
This approach ensures that trend shifts are confirmed only when price significantly moves beyond normal market fluctuations.
2. Liquidity Sweep Detection
Liquidity sweeps occur when price temporarily breaks key levels, triggering stop-loss liquidations or margin call events. The strategy tracks swing highs and lows, marking potential liquidity grabs:
Bearish Liquidity Sweeps – Price breaks a recent high, then reverses downward.
Bullish Liquidity Sweeps – Price breaks a recent low, then reverses upward.
Volume Integration – The strategy analyzes trading volume at each sweep to differentiate between major and minor sweeps.
Key levels where liquidity sweeps occur are plotted as color-coded horizontal lines:
Red lines indicate bearish liquidity sweeps.
Green lines indicate bullish liquidity sweeps.
Labels are displayed at each sweep, showing the volume of liquidated positions at that level.
3. Volume Profile Analysis
The strategy includes an optional volume profile visualization, displaying how trading volume is distributed across different price levels.
Features of the volume profile:
Point of Control (POC) – The price level with the highest traded volume is marked as a key area of interest.
Bounding Box – The profile is enclosed within a transparent box, helping traders visualize the price range of high trading activity.
Customizable Resolution & Scale – Traders can adjust the granularity of the profile to match their preferred time frame.
The volume profile helps identify zones of strong support and resistance, making it easier to anticipate price reactions at key levels.
Trade Entry & Exit Conditions
The strategy allows traders to configure trade direction:
Long Only – Only takes long trades.
Short Only – Only takes short trades.
Long & Short – Trades in both directions.
Entry Conditions
Long Entry:
A bullish trend shift is confirmed.
A bullish liquidity sweep occurs (price sweeps below a key level and reverses).
The trade direction setting allows long trades.
Short Entry:
A bearish trend shift is confirmed.
A bearish liquidity sweep occurs (price sweeps above a key level and reverses).
The trade direction setting allows short trades.
Exit Conditions
Closing a Long Position:
A bearish trend shift occurs.
The position is liquidated at a predefined liquidity sweep level.
Closing a Short Position:
A bullish trend shift occurs.
The position is liquidated at a predefined liquidity sweep level.
Customization Options
The strategy offers multiple adjustable settings:
Trade Mode: Choose between Long Only, Short Only, or Long & Short.
Trend Calculation Length & Multiplier: Adjust how trend signals are calculated.
Liquidity Sweep Sensitivity: Customize how aggressively the strategy identifies sweeps.
Volume Profile Display: Enable or disable the volume profile visualization.
Bounding Box & Scaling: Control the size and position of the volume profile.
Color Customization: Adjust colors for bullish and bearish signals.
Considerations & Limitations
Liquidity sweeps do not always result in reversals. Some price sweeps may continue in the same direction.
Works best in volatile markets. In low-volatility environments, liquidity sweeps may be less reliable.
Trend confirmation adds a slight delay. The strategy ensures valid signals, but this may result in slightly later entries.
Large volume imbalances may distort the volume profile. Adjusting the scale settings can help improve visualization.
Conclusion
The Liquidity Sweep Filter Strategy is a volume-integrated trading system that combines liquidity sweeps, trend analysis, and volume profile data to optimize trade execution.
By identifying key price levels where liquidations occur, this strategy provides valuable insight into market behavior, helping traders make better-informed trading decisions.
Key use cases for this strategy:
Liquidity-Based Trading – Capturing moves triggered by stop hunts and liquidations.
Volume Analysis – Using volume profile data to confirm high-activity price zones.
Trend Following – Entering trades based on confirmed trend shifts.
Support & Resistance Trading – Using liquidity sweep levels as dynamic price zones.
This strategy is fully customizable, allowing traders to adapt it to different market conditions, timeframes, and risk preferences.
Full credit for the original concept and indicator goes to AlgoAlpha.
Fibonacci Volume Profiles [AlgoAlpha]Unlock a deeper understanding of price action with the Fibonacci Volume Profiles indicator by AlgoAlpha! This powerful tool blends Fibonacci retracement levels with customizable volume profiles, helping traders identify high-probability areas of support, resistance, and accumulation. Designed for both continuous dynamic levels and custom time periods, this indicator is a must-have for traders seeking confluence in market structure analysis.
🔑 Key Features
📈 Dual Mode Selection : Choose between Continuous Fibonacci levels, which adapt dynamically to pivots, or a Custom Period mode, where you set your own start and end points.
📊 Integrated Volume Profile : Visualize volume distributions at key Fibonacci retracement levels, revealing areas of strong buying/selling interest.
🎨 Customizable Colors & Transparency : Adjust Fibonacci level colors, fill zones, and profile transparency for a visually clear experience.
🔍 Profile Resolution & Scaling : Control the number of price levels and width of the volume profile for detailed market insights.
🛠 Extendable Levels : Optionally extend Fibonacci levels to the right of the chart for better visualization of future price interaction.
📌 How to Use
Add the Indicator: Click on the star icon to add it to your favorites and apply it to your TradingView chart.
Analyze The Market: Observe how price interacts with Fibonacci levels alongside the volume profile to confirm support/resistance zones. Switch between custom range or continuous mode to align the tool with your trading style.
⚙️ How It Works
The indicator calculates pivot highs/lows dynamically (or uses user-defined time periods) to plot Fibonacci retracement levels. It then builds a volume profile by analyzing historical volume data, grouping it into price bins to highlight volume-heavy zones. The Point of Control (PoC) is identified as the level with the highest traded volume, acting as a key price magnet. The color-coded Fibonacci levels help traders spot retracement zones, while the volume profile confirms strength or weakness in those areas.
Volatility Footprint CandlesVolatility Footprint is an innovative volume profile indicator that dynamically adapts to real-time market conditions, providing traders with a powerful tool to visualize and interpret market structure, order flow, and potential areas of support and resistance.
At its core, Volatility Footprint combines the concepts of market profile, volume analysis, and volatility measurement to create a unique and adaptive charting experience. The indicator intelligently adjusts its display based on the current market volatility, ensuring that traders always have a clear and readable chart, regardless of the instrument or timeframe they are analyzing.
The footprint chart is composed of a series of color-coded boxes, each representing a specific price level. The color of the box indicates whether there is a net buying or selling pressure at that level, while the opacity reflects the relative strength of the volume. This intuitive visualization allows traders to quickly identify areas of high and low volume, as well as potential imbalances in order flow.
In addition to the individual box volumes, Volatility Footprint also calculates and displays the cumulative volume delta. This running total of buy and sell volumes across all price levels provides valuable insight into the overall market sentiment and potential trends.
One of the key features of Volatility Footprint is its ability to identify and highlight the Point of Control (POC). The POC represents the price level with the highest volume concentration and serves as a key reference point for potential support or resistance. By drawing attention to this crucial level, the indicator helps traders make more informed decisions about potential entry and exit points.
Volatility Footprint is designed to be highly customizable, allowing traders to tailor the appearance of the footprint chart to their specific preferences. Users can easily modify the colors, opacity, and size of the boxes, labels, and POC marker to enhance readability and clarity.
The indicator's versatility makes it suitable for a wide range of trading styles and strategies. Whether you are a scalper looking for short-term opportunities or a swing trader aiming to identify potential trend reversals, Volatility Footprint can provide valuable insights into market dynamics.
By combining Volatility Footprint with other forms of analysis, such as price action, key levels, and technical indicators, traders can gain a more comprehensive understanding of market behavior and make better-informed trading decisions.
Volatility Footprint's adaptive approach to volume profile analysis sets it apart from traditional fixed-resolution volume profile indicators. By dynamically adjusting to the unique characteristics of each instrument and timeframe, the indicator ensures that traders always have a clear and meaningful representation of market structure and order flow.
Volatility Footprint is a powerful tool that traders can incorporate into their market analysis and decision-making process. By providing a dynamic, visual representation of volume and order flow at different price levels, this indicator offers valuable insights into market structure, sentiment, and potential areas of support and resistance. Let's explore how traders might effectively utilize Volatility Footprint in their trading approach.
1. Identifying Key Levels:
One of the primary uses of Volatility Footprint is to identify key price levels where significant trading activity has occurred. The color-coded boxes allow traders to quickly spot areas of high volume concentration, which may indicate potential support or resistance zones. For example, if a trader notices a cluster of boxes with high opacity at a specific price level, they may interpret this as a strong support or resistance area, depending on the prevailing market context. By paying attention to these key levels, traders can make more informed decisions about potential entry and exit points, as well as placement of stop-loss orders and profit targets.
2. Assessing Market Sentiment:
The cumulative volume delta feature of Volatility Footprint provides traders with a valuable gauge of overall market sentiment. By analyzing the running total of buy and sell volumes across all price levels, traders can gain insight into the dominant market forces at play. If the cumulative delta is significantly positive, it may suggest a bullish sentiment, as buying pressure has been consistently outpacing selling pressure. Conversely, a negative cumulative delta may indicate a bearish sentiment. Traders can use this information to confirm or question their bias and adjust their trading plan accordingly.
3. Confirming Breakouts and Trend Reversals:
Volatility Footprint can be particularly useful in confirming the strength and validity of breakouts and potential trend reversals. When a price level is breached, traders can refer to the footprint chart to assess the volume and order flow characteristics around that level. If the breakout is accompanied by a surge in volume and a clear imbalance between buying and selling pressure, it may suggest a strong and sustainable move. On the other hand, if the volume is relatively low or evenly distributed, the breakout may be less reliable. By using Volatility Footprint to confirm breakouts, traders can make more informed decisions about whether to enter or exit a trade, or to adjust their position size.
4. Detecting Imbalances and Potential Reversals:
Imbalances between buying and selling pressure at specific price levels can often precede significant market moves or reversals. Volatility Footprint makes it easy for traders to spot these imbalances visually. For instance, if a trader observes a price level with a significantly larger number of sell boxes compared to buy boxes, it may indicate a potential exhaustion point for a bullish trend, and a reversal might be imminent. Traders can use this information in conjunction with other technical analysis tools, such as trendlines, moving averages, or momentum oscillators, to identify high-probability trading opportunities.
5. Adapting to Market Conditions:
One of the key strengths of Volatility Footprint is its ability to dynamically adapt to the unique volatility characteristics of different instruments and timeframes. This adaptability ensures that the indicator remains relevant and informative across a wide range of market conditions. Traders can use Volatility Footprint to gauge the relative volatility and volume of a particular instrument or timeframe, and adjust their trading approach accordingly. For example, in a highly volatile market, traders may opt for wider stop-loss levels and smaller position sizes to account for the increased risk.
Incorporating Volatility Footprint into a trading strategy requires a combination of technical analysis, market understanding, and risk management. Traders should use this indicator as part of a comprehensive approach, combining it with other forms of analysis, such as price action, key levels, and technical indicators. By doing so, traders can gain a more complete picture of market dynamics and make better-informed trading decisions.
It's important to note that while Volatility Footprint provides valuable insights, it should not be relied upon as a standalone trading signal. Traders should always consider the broader market context, their risk tolerance, and their overall trading plan when making decisions based on the information provided by this indicator.
In conclusion, Volatility Footprint offers traders a dynamic and visually intuitive way to analyze market structure, volume, and order flow. By identifying key levels, assessing market sentiment, confirming breakouts, detecting imbalances, and adapting to market conditions, traders can leverage this powerful tool to make more informed and confident trading decisions. As with any technical analysis tool, Volatility Footprint should be used in conjunction with sound risk management principles and a well-defined trading strategy to maximize its effectiveness.
Simple Volume Profile with POC (Daily/4H Sessions) [Enhanced]Simple Volume Profile with a Point of Control (POC). The script does the following:
Accumulates volume in user-defined “bins” (price buckets) for a session.
Resets the volume accumulation each new “session”:
On a Daily chart, it considers weekly sessions (resets each Monday).
On a 4H chart, it considers daily sessions (resets at the start of each trading day).
Finds the Point of Control (the price bin with the highest accumulated volume).
Plots the histogram and the POC line on the chart.
Value Zones [Influxum]The volume of traded contracts at a specific price level is, in our opinion, one of the most critical components of any trading system. The area where price acceptance occurred, and the most contracts were traded, represents a very objective phenomenon on the chart, reducing the degree of discretionary trading. This is commonly referred to as POC – Point of Control – the point where the most units of an instrument were traded. Our Value Zones take this a step further by identifying additional local extremes, i.e., areas where significant trading volumes occurred locally at specific prices. This provides objective information about the points on the market where buyers and sellers agreed on a price, resulting in what is known as consolidation. This information can help identify the price levels or zones where aggressive buyer or seller behavior, and consequently a significant price reaction, might be expected. We do not perceive the POC or local extremes as mere price levels but rather as zones. The distribution of trades in the market is a stochastic process, and deviations can occur, which is why we extend local extremes and the POC with a coefficient reflecting the current session's volatility.
🟪 General Settings
Session
Value Zones are always calculated for a specific time period. In this section, you can set whether you want to see Value Zones for 30-minute candles, hourly charts, 4-hour charts, daily, weekly, or monthly timeframes. Keep in mind the timeframe you are currently viewing. If you attempt to display monthly Value Zones on minute candles, the chart will typically load only 10,000 to 20,000 candles, representing a maximum of 20 days, which is insufficient for accurately determining monthly Value Zones.
Levels of Detai l
To simplify working with Value Zones, you don’t need to manually set the size of a single row in the volume profile in terms of ticks. Simply choose how many rows the entire range of the selected session should be divided into. Local maxima will then be identified within the specified number of rows. The more rows you choose, the more detailed the Value Zones will be. However, this may lead to identifying local extremes too close to each other (in cases where consolidation has occurred for a longer period). We recommend an optimal setting of 50 to 100 rows to ensure the significant local extremes are effectively visualized.
Volume Type
An interesting metric is not just the volume traded at a price but also the ratio of buy and sell volumes – the delta. Based on the data available, this is not a precise tick-based or bid-ask delta but rather a delta derived from the volume of candles on lower timeframes. For daily sessions, for instance, we use minute candles. If a candle closes higher than it opens, it is considered positive delta. If it closes lower, it is negative delta. This helps identify whether buyers or sellers were more aggressive at a specific price level (not whether there were more buyers or sellers, as each trade always involves both sides).
🟪 Heatmap
A heatmap visualizes the volume profile, displaying volume on a given row through color intensity. For standard volume, the intensity represents a single color. For delta, separate colors are used to represent positive and negative delta intensity.
Align
Choose whether the Heatmap will always appear on the right or left side. If set to the right, historical Heatmaps will display at the start of the next session after the session concludes. A developing session’s Heatmap will appear on the right in real time. If set to the left, the Heatmap will always appear at the start of the session it represents. For a developing session, the Heatmap is also on the left. Note that right after the session begins, the Heatmap may look unusual because there isn’t yet enough price data to calculate all the rows (e.g., the 50 rows set in Levels of Detail).
Heatmap Length
This determines the Heatmap’s length in terms of the number of candles.
Color Settings
You can configure colors separately for Volume and Delta modes. The color settings for POC are shared for both modes.
🟪 Local Peaks
Draw Local Peaks
Here, you can set how local peaks (in addition to POC) will be displayed. If set to "None," neither POC nor any local extreme will be shown. You can choose to display POC and local peaks as lines, boxes, or both.
Number of Local Peaks
If set to 0 and a display mode for POC and local extremes (line, box, or both) is active, only the POC will be displayed. Any value higher than 0 will display that number of local extremes, as long as they are found. If the Level of Detail is set too low, no local extremes might be identified.
🟪 Visuals - Historical & Current
To tailor your chart to your preferences, you can freely customize the colors for local peaks and POC, lines and boxes, and even differentiate between historical and developing values. The choice is entirely yours!
Range Detect SystemTechnical analysis indicator designed to identify potential significant price ranges and the distribution of volume within those ranges. The system helps traders calculate POC and show volume history. Also detecting breakouts or potential reversals. System identifies ranges with a high probability of price consolidation and helps screen out extreme price moves or ranges that do not meet certain volatility thresholds.
⭕️ Key Features
Range Detection — identifies price ranges where consolidation is occurring.
Volume Profile Calculation — indicator calculates the Point of Control (POC) based on volume distribution within the identified range, enhancing the analysis of market structure.
Volume History — shows where the largest volume was traded from the center of the range. If the volume is greater in the upper part of the range, the color will be green. If the volume is greater in the lower part, the color will be red.
Range Filtering — Includes multi-level filtering options to avoid ranges that are too volatile or outside normal ranges.
Visual Customization — Shows graphical indicators for potential bullish or bearish crossovers at the upper and lower range boundaries. Users can choose the style and color of the lines, making it easier to visualize ranges and important levels on the chart.
Alerts — system will notify you when a range has been created and also when the price leaves the range.
⭕️ How it works
Extremes (Pivot Points) are taken as a basis, after confirming the relevance of the extremes we take the upper and lower extremes and form a range. We check if it does not violate a number of rules and filters, perform volume calculations, and only then is the range displayed.
Pivot points is a built-in feature that shows an extremum if it has not been updated N bars to the left and N bars to the right. Therefore, there is a delay depending on the bars specified to check, which allows for a more accurate range. This approach allows not to make unnecessary recalculations, which completely eliminates the possibility of redrawing or range changes.
⭕️ Settings
Left Bars and Right Bars — Allows you to define the point that is the highest among the specified number of bars to the left and right of this point.
Range Logic — Select from which point to draw the range. Maximums only, Minimums only or both.
Use Wick — Option to consider the wick of the candles when identifying Range.
Breakout Confirmation — The number of bars required to confirm a breakout, after which the range will close.
Minimum Range Length — Sets the minimum number of candles needed for a range to be considered valid.
Row Size — Number of levels to calculate POC. *Larger values increase the script load.
% Range Filter — Dont Show Range is than more N% of Average Range.
Multi Filter — Allows use of Bollinger Bands, ATR, SMA, or Highest-Lowest range channels for filtering ranges based on volatility.
Range Hit — Shows graphical labels when price hits the upper or lower boundaries of the range, signaling potential reversal or breakout points.
Range Start — Show points where Range was created.
Support Resistance UltimateThe "Support Resistance ULTIMATE" indicator is a comprehensive tool for traders on the TradingView platform, designed to identify key support and resistance levels using two primary techniques: pivot points and volume data. This indicator provides flexibility and customization, allowing traders to adapt it to their specific trading strategies.
KEY FEATURES
Pivot-Based Levels:
This feature calculates support and resistance levels using pivot points, which are derived from the high, low, and close prices of previous trading periods. Pivot points are crucial for forecasting potential market turning points.
Users can customize the pivot calculation by selecting the source type (either 'Close' or 'High/Low') and adjusting the lookback periods for both the left and right sides of the pivot calculation. This flexibility allows traders to adapt the indicator to different market conditions and timeframes.
Volume-Based Levels:
This option focuses on identifying support and resistance levels based on volume data, specifically the Point of Control (POC). The POC represents the price level with the highest traded volume during a specific time period, reflecting a consensus value among market participants.
The indicator includes a rolling POC calculation, allowing traders to dynamically assess areas of significant trading interest that may serve as support or resistance zones.
ADVANTAGES
Customization and Flexibility:
Traders can choose between pivot-based and volume-based levels or use both simultaneously, depending on their analysis needs. This dual approach provides a comprehensive view of market dynamics, accommodating various trading styles.
The indicator offers customizable color settings for support and resistance lines, enhancing chart readability and allowing traders to personalize their visual analysis.
Enhanced Market Insights:
By utilizing pivot points, traders can identify potential reversal or consolidation points, aiding in the prediction of market trends and the establishment of strategic entry and exit points.
Volume-based levels provide insights into market sentiment and participation, highlighting areas of strong support or resistance based on trading volume. This can improve risk management and trade execution by identifying high-probability trading zones.
Importance Scoring:
The indicator calculates the importance of each level based on the number of touches and the duration it holds. This scoring system helps traders assess the strength of support and resistance levels, with thicker lines indicating more significant levels.
This indicator is intended for educational and informational purposes only and should not be considered financial advice. Trading involves significant risk, and you should consult with a financial advisor before making any trading decisions. The performance of this indicator is not guaranteed, and past results do not predict future performance. Use at your own risk.
