Whale Order Flow Radar [JOAT]Whale Order Flow Radar
Reconstructs institutional order-flow pressure from standard OHLCV and flags the footprints large participants leave behind — without needing tick or bid/ask data.
What it is
Most volume tools only tell you that "a lot traded". They do not tell you who was aggressive or which side absorbed the flow. This indicator estimates aggressor pressure from the one thing every chart gives you — the open, high, low, close and volume of each bar — and turns it into a readable map of accumulation, distribution and absorption. It is an original engine built from scratch; it is not a wrapper around a built-in volume study.
How it works
The calculations are transparent and each one is standard statistics applied in a specific way:
• Whale prints — every bar's volume is converted to a z-score against a rolling mean and standard deviation (default 50-bar window). A bar is only tagged as a whale print when its volume is a statistical outlier and it closes with conviction (the close lands in the upper or lower third of the bar's range). Requiring both filters separates genuine directional size from random spikes.
• Delta proxy — each bar's volume is split into buy volume and sell volume by where price closed inside its own range (close near the high = buyers dominated, close near the low = sellers dominated). Delta is buy minus sell. This is a bounded, non-repainting estimate of aggressor delta; it is a proxy, not true tick delta, and the description is honest about that.
• Cumulative delta — the running sum of the delta proxy, with an optional reset per session or week so it does not drift indefinitely.
• Absorption — high volume combined with an unusually small range flags a passive iceberg soaking up flow. These are marked separately because they often precede reversals rather than continuations.
• Pressure oscillator — a smoothed, volume-normalised delta that drives the colour system and gates the signals so you are reading strength, not every wiggle.
The signals
A Buy prints when a bullish whale print lands while the cumulative delta and an optional trend filter both agree; a Sell is the mirror. Everything is evaluated on the confirmed bar, so a printed signal does not repaint. A minimum-bar spacing control keeps Buy and Sell labels from stacking on lower timeframes.
Trade levels
When enabled, the most recent signal draws an ATR-based ladder: a stop level and three take-profit levels at your chosen R multiples, each labelled with its price on the right edge, so the intended risk and reward are visible at a glance.
The dashboard
A compact panel reports the current trend bias, the pressure reading, a 0–100 conviction estimate for the latest print, the active signal state, and a live win tally (how often the first target was reached before the stop, measured only on already-closed bars with no lookahead). The panel position and text size are adjustable.
How to use it
• Works on any symbol and any timeframe that provides volume; on symbols with no real volume the delta components are less meaningful, which is noted here honestly.
• Treat whale prints and absorption as context, not as automatic entries — combine them with your own structure read.
• Use the trend filter to only take prints in the direction of the higher-level bias, or turn it off for counter-trend fade setups.
• The conviction score and win tally are on-chart context to help you filter, not a performance promise.
Settings
Volume baseline window, whale z-score threshold, conviction fraction, absorption threshold, delta smoothing and reset, trend filter length, ATR risk multiple and target R multiples, plus full visual and dashboard controls.
Originality and usefulness
The value here is the specific combination: a dual-filter whale detector (outlier volume and close-in-range conviction), a bounded close-based delta proxy with cumulative tracking, a separate absorption model, and a normalised pressure oscillator that ties them together into one non-repainting signal. That blend, and the reasoning for it, is what makes it more than a standard volume histogram.
Notes and limitations
• The delta and pressure figures are estimates derived from OHLCV, not exchange order-flow data. They approximate aggressor behaviour; they do not measure it directly.
• No indicator predicts the future. Signals can and will fail, especially in thin or news-driven conditions.
• The win tally reflects only what has already happened on the loaded chart and is not a forecast of future results.
• This is an educational and analytical tool, not financial advice. Manage your own risk.
— made with passion by officialjackofalltrades
Indicator
Whale Absorption Profile [JOAT]WHALE ABSORPTION PROFILE
The flagship orderflow visual in the JOAT suite. A complete institutional-grade footprint dashboard — heatmap candle strips, horizontal volume profile, delta ladder, side histogram, POC/VAH/VAL lines, and whale / absorption / imbalance glyphs — all driven by the same underlying lower-timeframe-reconstructed intrabar data and rendered in a curated asthetics. Built to give you the entire auction picture in one indicator, on chart, without a dedicated orderflow platform.
Six visual layers, one engine
Every layer reads from the same intrabar data pipeline. The pipeline uses request.security_lower_tf at a configurable LTF (1m / 3m / 5m / 15m / 30m) to sample sub-bar prints, classifies each via the standard tick rule, then buckets the classified volume into a price-binned profile (configurable rows, default 50). Every layer below reads from those bins.
Heatmap candle strips — the body of each recent chart candle is overlaid with horizontal heat slices coloured along an absorption-intensity ramp (deep blue → indigo → violet → magenta → gold). At a glance you can see where, inside each bar, the auction happened.
Horizontal volume profile — a classic side profile of total volume per bin, rendered with split buy/sell colour so you can read which side dominated each price.
Delta ladder column — a vertical ladder of per-bin delta (buy − sell), positionable to any of nine corners on the chart. Drawn as a horizontal-going-left-to-right cell array so it never collides with the dashboard.
Side volume histogram — a compact buy/sell volume histogram aligned to the profile bins, for traders who want a second view of side-share that is not contaminated by total volume.
POC / VAH / VAL lines — the Point of Control, Value Area High, and Value Area Low computed from the profile and rendered as horizontal lines that extend right of the latest bar.
Whale / Absorption / Imbalance glyphs — three separate detection layers (described below) each render a distinct on-chart glyph at the bin where their condition fires.
A Lite Mode toggle disables the heaviest layers (heatmap strips + side histogram) for low-end machines or multi-indicator stacking.
Three orthogonal detection layers
Whale Print — a bin qualifies as a whale row when total bin volume is above a configurable percentile (default 95th of the bin distribution) and is above the whale-delta threshold (default 70%). Both gates: large and one-sided.
Absorption Zone — score = min(buy, sell) / (priceMovement + ε) . High when both sides traded heavily but price did not move — the classic limit-order-absorption signature. A bin qualifies when its absorption score exceeds the configurable percentile (default 90th).
Imbalance Spike — a bin qualifies when one side's volume is at least N× the other (default 3.0×). The standard footprint imbalance ratio.
These three are deliberately separate — a single price can be a whale row, an absorption zone, and an imbalance spike at once, in which case all three glyphs fire and you have a textbook stacked-signature read.
POC shift alert
The Point of Control's bar-to-bar bin-distance is tracked. When the POC jumps more than the configurable POC Shift: Bin Distance Trigger (default 2 bins) between consecutive bars, the POC Shift alert fires — the auction's value has rotated price levels, which is the most actionable single regime-change signal a profile produces.
Visual aesthetic
A locked institutional palette: cyan-teal bull (#5CF0D7), magenta bear (#FF4D75), and a signature absorption ramp — deep void → ultramarine → indigo → violet → magenta → gold — designed to read like a heat-mapped orderbook on a deep-space background (#02011A). The four multi-stop gradients drive heatmap, absorption, delta, and whale layers independently, so the chart never looks visually flat.
Dashboard
Monospaced table, positionable to any of nine corners, with row-fade gradient. Surfaces:
Current POC price + bin distance from previous POC.
VAH / VAL price levels.
Cumulative bar delta.
Whale print count, absorption zone count, imbalance spike count in the lookback.
Current row classifications for the active price (Whale / Absorption / Imbalance).
LTF in use and bin count.
Alerts
Four alert conditions, each independently controllable:
Whale Print
Absorption Zone
Imbalance Spike
POC Shift (bin distance > threshold)
How to read it
Three reads, in order of conviction:
Stacked detection at the same bin — when a bin fires Whale + Absorption + Imbalance simultaneously, the auction has experienced a complete event: large size, both sides traded heavily, and the side imbalance was extreme. These are the rarest and strongest reads the script produces.
POC Shift through a previous structural level — value migration. The auction's centre of gravity has just moved through your S/R; the rest of the session usually follows.
Heatmap candle strip + delta ladder agreement — when the heatmap concentration sits at the same price the delta ladder shows one-sided imbalance, the bar is institutionally meaningful regardless of the candle shape.
Suggested settings
Defaults (1m LTF, 50 bins, 40-bar lookback, 95th percentile gates) are tuned for 5m–15m on liquid futures and crypto. For 1m scalping, drop bins to 30 and lookback to 20 to keep the script responsive. For 1H+ HTF, raise lookback to 100 and bins to 60. Lite Mode is recommended when stacking with other heavy indicators.
Originality
The implementation — the unified intrabar pipeline that feeds six independent visual layers, the percentile-gated whale detector, the min(buy,sell) / priceMovement absorption score, the diagonal-imbalance row detector, the multi-stop absorption gradient (six-stop signature ramp), the configurable delta ladder with nine-corner positioning, the POC bin-distance shift detector, and the grade composite palette — is JOAT-original. No third-party code reused. The footprint vocabulary (POC, VAH/VAL, imbalance, absorption, whale) is public-domain auction-theory language; this implementation is purpose-built for Pine v6 with bar data only.
Limitations
Reconstructed intrabar data is an approximation — the tick rule is the accepted public-market inference but it is not a direct read of bid/ask. Sub-minute LTFs require a TradingView Premium or Ultimate plan. The script renders many polylines, boxes, and labels — Pine's max_polylines_count / max_boxes_count / max_labels_count caps apply. Lite Mode exists specifically for low-spec / multi-indicator scenarios. POC, VAH, VAL, and detection layers are computed from confirmed intrabar data so they update on bar-by-bar close (non-repainting beyond the current developing bar).
—
-made with passion by jackofalltrades
Indicator
Iceberg Detector [JOAT]ICEBERG DETECTOR
A hidden-liquidity detector that infers iceberg orders from their footprint on the tape — without needing direct L2 data. The detection pattern is well-known to professional tape readers: the same price level being repeatedly tested by long wicks, with above-average volume, and price each time getting rejected back in the opposite direction. That repeated-rejection pattern is the visible signature of an iceberg — a large resting order broken into smaller slices to hide its true size. This script catches the pattern, clusters the tests, paints the zone, and tells you when the iceberg gets broken or eaten.
Detection — five gates, all required
A bar is a candidate iceberg test only when every one of these is true:
Long wick — wick-to-body ratio above the configurable threshold (default 0.75). The wick is the visible rejection; the body is the failed push.
Local extremum — the wick reached a local high or low over the configurable pivot lookback (default 5 bars). A wick that did not actually probe new territory does not count.
Above-average volume — bar volume must exceed volume average × multiplier (default 1.0×). Real absorption needs real size hitting the tape.
Wick rejection bias — the candle must close in the rejection direction (opposite of the wick).
Cluster within tolerance — at least N (default 2) of these qualifying tests must occur within ATR × tolerance of the same level inside the detection window (default 40 bars).
Only when all five gates pass does the script paint a zone. The wick rejection bias % input controls how strict the rejection-direction filter is; raising it to 70%+ makes the zone confirmation slower but cleaner.
Cluster-aware level building
When two or more qualifying tests fall within ATR-multiplier tolerance of each other, they are clustered into a single zone whose vertical extent (configurable in ATR units) covers the cluster. This means an iceberg sitting at 4382.50–4383.25 is rendered as a single horizontal band, not two separate ticks — which is how a real iceberg would actually appear on the tape.
Visual system
Iceberg zone — a horizontal band rendered in the cool-blue palette (deep void → pale violet gradient) with configurable opacity.
Glow layers — N (configurable, default 4) stacked transparent boxes behind the zone produce a soft glow border.
Pulse animation — for a configurable number of bars after a fresh test, the zone's transparency oscillates to highlight that the iceberg has just been re-tested. Toggleable.
Test ticks — small markers at each individual test bar inside the zone.
Test count badge — small number tag showing how many tests have hit the level.
Right extension — configurable bar count for forward zone projection.
A locked Void palette (cool violet gradient on a deep void ground) gives the chart a distinctive hidden-liquidity identity.
Lifecycle — persist, archive, break
Every iceberg has three life stages:
Active — currently in front of price and being honoured. New tests add ticks and trigger pulse animations.
Broken — price closed through the level by Break Distance × ATR (default 0.5 ATR). The zone moves to the muted broken-archive palette and stays on the chart for brokenStaleBars (default 150) bars so you can see where structure failed.
Stale — older than the archive lifetime, automatically removed.
A maximum-concurrent-icebergs cap (default 12 active) and a max-broken cap (default 8) keep the chart legible.
Dashboard
Monospaced table, positionable to any of nine corners, surfaces:
Active iceberg count, broken count.
Nearest iceberg level with side (resistance / support), distance in ticks or %.
Test count and age of the nearest iceberg.
Last broken event with bars-ago tag.
Alerts
Three alert conditions, each independently controllable:
New Iceberg Detected — fires the bar an iceberg is first confirmed (all five gates pass).
Iceberg Re-Tested — fires when an existing iceberg gets another qualifying test.
Iceberg Broken — fires when price closes through by the break-distance threshold.
How to read it
Two reads, in order of conviction:
Active iceberg in front of price is your immediate liquidity wall. Faded iceberg the market keeps probing without breaking = strong demand-side or supply-side hidden order. Use as a context level — fade touches if your bias is reversal, expect continuation through if your bias is breakout.
Iceberg Broken alert is your highest-conviction directional event. A hidden order has been eaten through, meaning the side that was holding it has either pulled it or been exhausted — either way, the resistance / support is gone, and the move that follows is unencumbered by the absorbed liquidity.
Suggested settings
Defaults (2 minimum tests, 40-bar detection window, 0.5 ATR cluster tolerance, 0.75 wick/body ratio) are tuned for 5m–1H on liquid markets. For lower-timeframe scalping, lower the wick/body ratio to 0.5 and raise the volume multiplier to 1.5×. For higher-timeframe macro reads, raise minimum tests to 3 and widen the detection window to 100+ bars.
Originality
The implementation — the five-gate detection (wick + extremum + volume + rejection % + cluster tolerance), the ATR-cluster level-builder, the cool-palette glow layers, the post-test pulse animation, the break-distance lifecycle with archive, and the test-count badge rendering — is JOAT-original and tuned together. No third-party code reused. The hidden-liquidity / iceberg concept is well-known to tape readers; the detection pipeline here is built specifically for chart-based bar data without requiring L2 access.
Limitations
Pine indicators cannot read L2 order book data. Iceberg Detector infers iceberg presence from the visible tape footprint — long-wick rejection candles, clustered at a level, with above-average volume, all closing in the rejection direction. This is the accepted public-market inference pattern but it is by nature an inference, not a direct observation. The script can produce false positives on instruments with naturally wicky candles and false negatives on instruments where icebergs are filled too quickly to show as multi-bar tests. On low-volume instruments the volume gate may need to be raised to compensate.
—
Open source- The five-gate detection pipeline, the ATR-cluster level-builder, the post-test pulse compositor, and the lifecycle-with-archive state machine are proprietary. Free to use; behaviour is fully described above.
—
-made with passion by jackofalltrades
Indicator
Phantom Whale Hunter [JOAT]Phantom Whale Hunter
Introduction
The Phantom Whale Hunter is an advanced open-source institutional footprint tracking system that combines Chaikin Money Flow, Money Flow Index, On-Balance Volume, VWAP analysis, and Accumulation/Distribution to detect institutional buying and selling pressure. This indicator reveals when large institutional players (whales) are accumulating or distributing positions, providing traders with insights into smart money positioning before major price moves occur.
Unlike basic volume indicators, the Phantom Whale Hunter provides multi-dimensional institutional flow analysis through money flow calculations, volume-weighted analysis, cumulative volume tracking, and phase detection. The indicator is designed for traders who understand that institutional money moves markets and that detecting whale footprints early provides significant trading advantages.
Why This Indicator Exists
This indicator addresses the need for systematic institutional flow analysis. By combining five distinct money flow methodologies with phase detection, it reveals:
Chaikin Money Flow (CMF): Measures buying/selling pressure based on close position within range
Money Flow Index (MFI): Volume-weighted RSI showing money flow strength
On-Balance Volume (OBV): Cumulative volume indicator tracking institutional accumulation/distribution
VWAP Analysis: Volume-weighted average price with deviation bands
Accumulation/Distribution (A/D): Cumulative indicator measuring money flow into/out of security
Institutional Flow Index: Composite measure combining all five components
Phase Detection: Classifies market as Strong Accumulation, Accumulation, Neutral, Distribution, or Strong Distribution
Smart Money Divergence: Detects when price and flow move in opposite directions
Core Components Explained
1. Chaikin Money Flow (CMF)
CMF measures the relationship between close position and volume:
Money Flow Volume: ((Close - Low) - (High - Close)) / (High - Low) × Volume
CMF Calculation: Sum of MFV over period / Sum of volume over period
CMF Smoothing: 7-period EMA for noise reduction
Interpretation: CMF > 0 = buying pressure, CMF < 0 = selling pressure
CMF values above +0.1 indicate strong buying pressure, while values below -0.1 indicate strong selling pressure.
2. Money Flow Index (MFI)
MFI is a volume-weighted momentum indicator:
Typical Price: (High + Low + Close) / 3
Raw Money Flow: Typical Price × Volume
Positive Flow: Money flow when typical price rises
Negative Flow: Money flow when typical price falls
Money Ratio: Sum of positive flow / Sum of negative flow
MFI: 100 - (100 / (1 + Money Ratio))
MFI above 80 indicates overbought with high volume (potential distribution), while MFI below 20 indicates oversold with high volume (potential accumulation).
3. On-Balance Volume (OBV)
OBV tracks cumulative volume flow:
Calculation: Add volume on up days, subtract volume on down days
Cumulative: Running total from start of data
Normalization: Scaled to 0-100 range using 100-bar high/low
Zero-Centering: Subtract 50 for composite integration
Rising OBV with rising price confirms uptrend (accumulation). Falling OBV with rising price warns of distribution.
4. VWAP (Volume-Weighted Average Price)
VWAP calculates the average price weighted by volume:
Calculation: Sum(Typical Price × Volume) / Sum(Volume)
Daily Reset: VWAP resets at start of each trading day
Standard Deviation: Measures price dispersion from VWAP
Deviation Bands: VWAP ± (StdDev × Multiplier)
Price vs VWAP: Percentage distance from VWAP
Price above VWAP indicates bullish institutional positioning. Price below VWAP indicates bearish institutional positioning. Large deviations often mean-revert.
5. Accumulation/Distribution (A/D) Line
A/D measures cumulative money flow:
Money Flow Multiplier: ((Close - Low) - (High - Close)) / (High - Low)
Money Flow Volume: Multiplier × Volume
A/D Line: Cumulative sum of money flow volume
Smoothing: EMA smoothing (default 14) for trend identification
Normalization: Scaled to 0-100 range, then zero-centered
Rising A/D with rising price confirms accumulation. Falling A/D with rising price signals distribution (bearish divergence).
6. Institutional Flow Index Calculation
All five components are combined into a unified flow index:
Flow Index = (CMF × 50 + (MFI - 50) + (OBV - 50) + (A/D - 50)) / 4
This composite index ranges from approximately -50 to +50, with:
Flow Index > 30 = Strong institutional buying
Flow Index > 10 = Institutional buying
Flow Index -10 to +10 = Neutral/balanced
Flow Index < -10 = Institutional selling
Flow Index < -30 = Strong institutional selling
7. Phase Detection System
The indicator classifies institutional positioning into five phases:
Strong Accumulation (Phase 2): Flow Index > 30, CMF > 0.1, MFI > 50
Accumulation (Phase 1): Flow Index > 10, CMF > 0
Neutral (Phase 0): Flow Index between -10 and +10
Distribution (Phase -1): Flow Index < -10, CMF < 0
Strong Distribution (Phase -2): Flow Index < -30, CMF < -0.1, MFI < 50
Phase classification helps identify when institutions are actively positioning.
8. Smart Money Divergence Detection
Divergences occur when price and flow move in opposite directions:
Price Momentum: 14-period rate of change in price
Flow Momentum: 14-period rate of change in Flow Index
Bullish Divergence: Price falling (momentum < 0), Flow rising (momentum > 0)
Bearish Divergence: Price rising (momentum > 0), Flow falling (momentum < 0)
Smart money divergences indicate institutions positioning against current price trend, often preceding reversals.
9. Institutional Pressure Detection
The indicator identifies strong institutional buying/selling:
Buy Pressure: CMF > 0, MFI > 50, OBV > 50, Volume Surge
Sell Pressure: CMF < 0, MFI < 50, OBV < 50, Volume Surge
Volume Surge: Current volume > average volume × 2.25
Anti-Overlap: Minimum 25 bars between pressure signals
Institutional pressure with volume confirmation indicates significant whale activity.
10. Flow Velocity and Acceleration
The indicator tracks flow momentum:
Flow Velocity: Change in Flow Index (first derivative)
Flow Acceleration: Change in velocity (second derivative)
Accelerating flow indicates increasing institutional participation. Decelerating flow warns of waning institutional interest.
Visual Elements
Institutional Flow Line: Main line showing composite flow with phase-based coloring (green = accumulation, red = distribution, yellow = neutral)
Component Lines: Four thin lines showing CMF, MFI, OBV, and A/D (all normalized)
Zero Line: Horizontal line at zero
Threshold Lines: Dashed lines at +30 (strong accumulation), +10 (accumulation), -10 (distribution), -30 (strong distribution)
Zone Fills: Shaded areas above +30 (green) and below -30 (red)
Volume Surge Background: Purple background when volume surges occur
Smart Money Divergence Circles: Small circles marking divergence points
Institutional Pressure Triangles: Triangles marking strong buy/sell pressure
Flow Velocity Histogram: Shows rate of change in flow
Information Dashboard: Displays phase, flow index, CMF, MFI, OBV, A/D, volume ratio, price vs VWAP, flow velocity, and signal status
How to Use This Indicator
Step 1: Check Current Phase
Monitor the dashboard for institutional phase (Strong Accumulation, Accumulation, Neutral, Distribution, Strong Distribution).
Step 2: Analyze Flow Index
Flow Index > 20 = institutional buying, Flow Index < -20 = institutional selling. Trade in direction of institutional flow.
Step 3: Confirm with Components
Check CMF, MFI, OBV, and A/D for confirmation. All four positive = strongest accumulation signal.
Step 4: Monitor Volume Ratio
Volume surges (> 2x average) with positive flow confirm institutional buying. Volume surges with negative flow confirm institutional selling.
Step 5: Check Price vs VWAP
Price above VWAP with positive flow = bullish institutional positioning. Price below VWAP with negative flow = bearish institutional positioning.
Step 6: Watch for Smart Money Divergences
Divergences at extreme flow levels often precede reversals. Purple circles mark these critical points.
Step 7: Look for Institutional Pressure
Triangles mark strong institutional buy/sell pressure with volume confirmation. These are high-probability signals.
Best Practices
Trade in direction of institutional phase - don't fight whale positioning
Wait for Strong Accumulation/Distribution phases for highest conviction
Confirm flow signals with volume surges - flow without volume may be weak
Use smart money divergences as early reversal warnings
Monitor flow velocity - accelerating flow indicates increasing institutional participation
Combine with price action and support/resistance for entry timing
Be patient - institutional accumulation/distribution can take time
Use higher timeframe flow for stronger significance
Input Parameters
Chaikin Money Flow:
CMF Length: Period for CMF calculation (default: 20)
Money Flow Index:
MFI Length: Period for MFI calculation (default: 14)
MFI Overbought: Threshold for overbought (default: 80)
MFI Oversold: Threshold for oversold (default: 20)
Volume Configuration:
Volume MA Length: Period for average volume (default: 20)
Surge Threshold: Multiplier for volume surges (default: 2.0x)
Show Volume Profile: Toggle volume display (default: enabled)
VWAP Analysis:
VWAP Std Dev: Standard deviation multiplier (default: 2.0)
Accumulation/Distribution:
A/D Smoothing: EMA smoothing period (default: 14)
Phase Threshold: Threshold for phase classification (default: 0.5)
Visual Configuration:
Accumulation/Distribution/Neutral/Smart Money Colors: Customizable colors
Originality Statement
This indicator is original in its comprehensive institutional flow approach. While individual components (CMF, MFI, OBV, VWAP, A/D) are established concepts, this indicator is justified because:
It combines five distinct money flow methodologies into a unified institutional flow index
The phase detection system classifies institutional positioning systematically
Smart money divergence detection identifies when institutions position against price
Institutional pressure detection with volume confirmation reveals whale activity
Flow velocity and acceleration tracking predict institutional momentum changes
Integration of VWAP analysis provides institutional price positioning context
The comprehensive dashboard presents all institutional flow metrics simultaneously
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Institutional flow analysis does not guarantee profitable trades. Whale activity does not guarantee price direction. Always use proper risk management and never risk more than you can afford to lose.
-Made with passion by officialjackofalltrades Indicator
Big Trades / Intrabar Volume Clusters by HKDescription:
This indicator brings professional Order Flow and Footprint capabilities to your chart. It detects and visualizes high-volume trade clusters inside the candle, allowing you to see exactly at which price level big market participants were active.
Unlike standard volume bars, this tool uses Intrabar Data to map significant buying and selling pressure precisely within the candle body.
ℹ️ IMPORTANT: Resolution Setting (Read First) To ensure this indicator works immediately for all users (including Free/Basic accounts), the default resolution is set to "1 Minute".
Basic/Free Users: Please keep the setting at "1" (Second-based intervals often require a paid plan).
Premium Users: For the best precision and the exact look shown in the screenshots, we highly recommend changing the Resolution setting to "5S" (5 Seconds)!
🚀 Key Features
Intrabar Precision: Leverages request.security_lower_tf to look inside the candle structure.
Noise Filtering: Only displays clusters that exceed your defined Minimum Volume threshold, filtering out retail noise.
Smart Coloring:
Green: Buying pressure (Close >= Open on the lower timeframe).
Red: Selling pressure (Close < Open on the lower timeframe).
🆕 Independent Sizing: A unique feature: You can control the Font Size and Circle Size independently.
This allows for small, non-intrusive circles with large, readable text.
⚙️ Settings
Resolution: Default is 1 (Minute). Premium users should switch to 5S for true order flow precision.
Minimum Volume: The most important filter. Determines how large a trade cluster must be to appear (e.g., 150+ for ETH, higher for BTC).
Visuals: Customize Buy/Sell colors, Circle Size, and Text Size separately.
⚠️ Visual Tip (If text is hidden)
If the bubbles or numbers appear behind the candles or disappear when clicking away:
Right-click on any of the indicator bubbles.
Select Visual Order -> Bring to Front.
This ensures the Big Trades data always floats on top of your price bars. Indicator
CVD & Big Trade Detector By HKOverview The CVD & Big Trade Detector By HK offers a unique perspective on Cumulative Volume Delta (CVD). This indicator utilizes Floating Bars (Candles) to visualize the cumulative buying and selling pressure. This design allows you to clearly see the net delta of each specific candle relative to the cumulative trend.
Additionally, it integrates the "Big Trade" algorithm to highlight statistically significant volume anomalies (Whale activity) directly on the CVD bars.
How it Works Since standard volume data does not always provide buy/sell splitting, this script estimates intrabar pressure using price action logic:
Buying Pressure: Calculated based on the push from the Low to the Close.
Selling Pressure: Calculated based on the push from the High to the Close.
The indicator then calculates the Delta (Buy Vol - Sell Vol) and accumulates it.
Floating Bars: Instead of plotting from the zero-line, each bar opens at the previous CVD value and closes at the new cumulative value.
Teal/Green Bar: Net buying in the current period (CVD increased).
Maroon/Red Bar: Net selling in the current period (CVD decreased).
Key Features
Floating CVD Structure: Prevents the "barcode effect" common in histogram CVDs. It provides a clean, candle-like view of momentum accumulation.
Whale Detection:
The script calculates the moving average and standard deviation (Sigma) of the buying/selling volume.
Green Dots: Appear when buying volume exceeds the statistical threshold (Signifying a "Big Buy").
Red Dots: Appear when selling volume exceeds the statistical threshold (Signifying a "Big Sell").
Precise Positioning: Whale markers are plotted exactly at the closing value of the CVD bar, showing you exactly where the volume spike impacted the delta.
How to Use
Divergences: Look for situations where Price makes a Higher High, but the CVD Bars fail to make a new high (bearish divergence).
Absorption: If you see a Large Whale Dot on a very small CVD bar (doji-like), it indicates massive volume fighting for direction with little net result—often a sign of absorption or a pending reversal.
Trend Confirmation: Strong floating bars in the direction of the trend, accompanied by Whale Dots, confirm smart money participation.
Settings
Lookback Period: Defines the baseline for the statistical volume calculation (default: 50).
Sensitivity (Sigma): Adjusts how strict the "Whale" detection is (default: 3.0). Higher values = fewer, more significant signals.
Colors: Fully customizable colors for Up/Down bars and Buy/Sell markers.
Built with Pine Script™ v6 Indicator
Indicator
Options levelsOverview
Options Levels 🎯 plots 13 key institutional and options-based levels directly on your chart — including Call Wall, Put Wall, Gamma Flip, Whales Pivot, five Whale levels, and Sigma deviation bands (σ¹ / σ²).
It’s designed for both intraday and swing traders, offering a clean visual structure with elegant emoji labels, flexible visibility controls, and precise right-edge extensions for each line.
✨ Key Features
Single structured input with 13 ordered levels:
CallWall, PutWall, GammaFlip, Whales Pivot, Whale1..Whale5, Upperσ1, Upperσ2, Lowerσ1, Lowerσ2
Expressive emoji labels (🟢, 🔴, ⚖️, 🌑, 🐋, σ¹/σ²) optimized for dark themes.
Right-edge alignment: each line extends exactly to its label — no infinite lines.
Group visibility toggles:
• Critical Levels → Call Wall, Put Wall, Gamma Flip, Whales Pivot
• Whale Levels → Whale 1–5
• Sigma Bands → Upper/Lower σ¹ and σ²
Dynamic line-length multipliers that emphasize key levels.
Built-in alert conditions:
• Price crossing above the Call Wall
• Price crossing below the Put Wall
⚙️ Inputs & Settings
📋 Level List (string) : comma-separated list of 13 numeric values.
Example:
🎨 Appearance
• Base line length (bars)
• Label visibility toggle
• Line thickness
• Extend line and label to the right
• Distance (bars) between last candle and label
👁️ Visibility Controls
• Toggle Critical, Whale, or Sigma levels independently
🚀 How to Use
Paste your list of 13 ordered levels into the input field.
Adjust base length and thickness according to your timeframe.
Enable “Extend to the right” to position labels neatly beyond the last candle.
Use visibility toggles to focus on specific level groups (e.g., hide Whale Levels for short-term setups).
Optionally enable alerts to track price breakouts above/below Call and Put Walls.
The plotted levels are derived from aggregated options flow data, institutional positioning, and volatility-based deviations (σ). They serve as reference zones rather than predictive signals, helping visualize where liquidity and dealer hedging pressure may cluster.
📖 Level Definitions
Call Wall 🟢 — The strike with the highest call open interest; potential resistance area.
Put Wall 🔴 — The strike with the highest put open interest; potential support area.
Gamma Flip ⚖️ — Level where total gamma exposure changes sign; may reflect a shift in dealer hedging behavior.
Whales Pivot 🌑 — Represents the average institutional positioning from the previous trading day, reflecting where large option flows were most concentrated.
Whale Levels 🐋 — High-premium or large-volume strikes typically linked to institutional activity.
Upper σ¹ / σ² 📈 — One and two standard deviations above spot; potential overextension zones.
Lower σ¹ / σ² 📉 — One and two standard deviations below spot; potential mean-reversion zones.
Levels are manually input by the user. This script is a visual reference, not a predictive model.
⚠️ Notes
Levels are user-provided (not calculated by this script).
The indicator does not issue buy/sell signals or provide performance guarantees.
Designed purely as a visual aid for contextual market reference.
Optimized with barstate.islast for performance (draws only at the latest bar).
Disclaimer:
This indicator is for educational and visual purposes only. It does not generate buy/sell signals or guarantee future results. User-provided levels are meant for contextual reference only.
Developed for traders who rely on market structure and options flow context. Feedback and suggestions are welcome.
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Position resetThe "Position Reset" indicator
The Position Reset indicator is a sophisticated technical analysis tool designed to identify possible entry points into short positions based on an analysis of market volatility and the behavior of various groups of bidders. The main purpose of this indicator is to provide traders with information about the current state of the market and help them decide whether to open short positions depending on the level of volatility and the mood of the main players.
The main components of the indicator:
1. Parameters for the RSI (Relative Strength Index):
The indicator uses two sets of parameters to calculate the RSI: one for bankers ("Banker"), the other for hot money ("Hot Money").
RSI for Bankers:
RSIBaseBanker: The baseline for calculating bankers' RSI. The default value is 50.
RSIPeriodBanker: The period for calculating the RSI for bankers. The default period is 14.
RSI for hot money:
RSIBaseHotMoney: The baseline for calculating the RSI of hot money. The default value is 30.
RSIPeriodHotMoney: The period for calculating the RSI for hot money. The default period is 21.
These parameters allow you to adjust the sensitivity of the indicator to the actions of different groups of market participants.
2. Sensitivity:
Sensitivity determines how strongly changes in the RSI will affect the final result of calculations. It is configured separately for bankers and hot money:
SensitivityBanker: Sensitivity for bankers' RSI. It is set to 2.0 by default.
SensitivityHotMoney: Sensitivity for hot money RSI. It is set to 1.0 by default.
Changing these parameters allows you to adapt the indicator to different market conditions and trader preferences.
3. Volatility Analysis:
Volatility is measured based on the length of the period, which is set by the volLength parameter. The default length is 30 candles. The indicator calculates the difference between the highest and lowest value for the specified period and divides this difference by the lowest value, thus obtaining the volatility coefficient.
Based on this coefficient, four levels of volatility are distinguished.:
Extreme volatility: The coefficient is greater than or equal to 0.25.
High volatility: The coefficient ranges from 0.125 to 0.2499.
Normal volatility: The coefficient ranges from 0.05 to 0.1249.
Low volatility: The coefficient is less than 0.0499.
Each level of volatility has its own significance for making decisions about entering a position.
4. Calculation functions:
The indicator uses several functions to process the RSI and volatility data.:
rsi_function: This function applies to every type of RSI (bankers and hot money). It adjusts the RSI value according to the set sensitivity and baseline, limiting the range of values from 0 to 20.
Moving Averages: Simple moving averages (SMA), exponential moving averages (EMA), and weighted moving averages (RMA) are used to smooth fluctuations. They are applied to different time intervals to obtain the average values of the RSI.
Thus, the indicator creates a comprehensive picture of market behavior, taking into account both short-term and long-term dynamics.
5. Bearish signals:
Bearish signals are considered situations when the RSI crosses certain levels simultaneously with a drop in indicators for both types of market participants (bankers and hot money).:
The bankers' RSI crossing is below the level of 8.5.
The current hot money RSI is less than 18.
The moving averages for banks and hot money are below their signal lines.
The RSI values for bankers are less than 5.
These conditions indicate a possible beginning of a downtrend.
6. Signal generation:
Depending on the current level of volatility and the presence of bearish signals, the indicator generates three types of signals:
Orange circle: Extremely high volatility and the presence of a bearish signal.
Yellow circle: High volatility and the presence of a bearish signal.
Green circle: Low volatility and the presence of a bearish signal.
These visual markers help the trader to quickly understand what level of risk accompanies each specific signal.
7. Notifications:
The indicator supports the function of sending notifications when one of the three types of signals occurs. The notification contains a brief description of the conditions under which the signal was generated, which allows the trader to respond promptly to a change in the market situation.
Advantages of using the "Position Reset" indicator:
Multi-level analysis: The indicator combines technical analysis (RSI) and volatility assessment, providing a comprehensive view of the current market situation.
Flexibility of settings: The ability to adjust the sensitivity parameters and the RSI baselines allows you to adapt the indicator to any market conditions and personal preferences of the trader.
Clear visualization: The use of colored labels on the chart simplifies the perception of information and helps to quickly identify key points for entering a trade.
Notification support: The notification sending feature makes it much easier to monitor the market, allowing you to respond to important events in time. Indicator
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Oscillating Length Moving Averages***CREDIT TO TradingView's TA Library*** (), Attempted to use "import TradingView/ta/4" to import the library, but for whatever reason
some of the functions failed to work, while others had no issue, so I opted to just copy paste what I wanted to use.
This moving average uses an oscillator to influence the length used during calculation. Extremely customizable/tunable with ability to change Max and Min length values, length multiplier, length multiple,4 different settings ,( Decline , <>Peak, >Decline , <>Peak, > Indicator
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Crypto Terminal [Kioseff Trading]Hello!
Introducing Crypto Terminal (:
The indicator makes use of cryptocurrency data provided by vendor INTOTHEBLOCK.
NOTE: The cryptocurrency on your chart must be paired with USD or USDT. Data won't load otherwise - possibly transient. For instance, BTCUSD or BTCUSDT, ETHUSD or ETHUSDT.
Provided datasets:
Twitter Sentiment Data
Telegram Sentiment Data
Whale Data (i.e. % of Asset Belonging to Whales)
$100,000+ Transactions
Bulls/Bears (Bulls Buying | Bears Selling)
Current Position PnL (Currently Open Positions for the Coin are Retrieved and Plotted. Data is Split into Currently Profitable Positions, Losing Positions, and B/E Positions)
Average Balance
Holders/Traders Percentage (Addresses are Retrieved and Classified as Holding Accounts or Trader Accounts)
Correlation
Futures OI
Perpetual OI
Zero Balance Addresses
Flow (Money Inflow & Outflow)
Active Addresses
Average Transaction Time
Realized PnL (Addresses with Realized Profits, Realized Losses, and B/E)
Cruisers
A few more data points are provided.
Additionally, you can plot the values of any dataset in a pane below price.
Below are images of plottable data; different cryptocurrencies will be shown for each example (:
Twitter sentiment data.
Assess this data lightly; difficult to confirm accuracy.
Telegram sentiment data.
Assess this data lightly; difficult to confirm accuracy.
Percentage of asset belonging to whales.
$100,000+ transactions (volume oriented)
Bulls buying; bears selling.
Current positions at profit; current positions at loss; current positions at breakeven.
Average balance.
Percentage of asset belonging to traders; percentage of asset belonging to holders.
Asset's 30-interval correlation to BTC.
Perpetual open interest.
Zero-balance addresses.
Flows.
Active addresses.
Average transaction time.
Addresses at realized profit; addresses at realized loss; addresses at breakeven.
Cruiser data.
Futures open interest.
Naturally, this data isn't provided for every cryptocurrency; NaN values are returned in some instances.
Table 1
I provided three data tables, which load independently, so you don't have to change plotted data to access values.
Table 2
Lastly, you can create a 10-asset crypto index and run calculations against it.
The image shows an example.
I'll update this script with additional calculations/data in the near future. If you've any suggestions - please let me know!
Enjoy (:
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Weekly Volume HeatmapThis tool is designed to visualize how the trading volume of each asset changes during the week.
How to use
This tool can help us better understand the market and answer many questions, such as:
◽ How to avoid getting stop hunted?
Typically, trading volume decreases at certain times of the week, which is the best time for large holders to manipulate the market. Low volume means there is less liquidity in the market. Large transactions in an illiquid market can cause large price changes.
Large holders (whales) have enough capital to push the price in the desired direction to trigger a cascade of stop-loss orders which can move the price further.
After a stop hunt, the market typically reverses, leaving stop hunted traders behind.
It is best to avoid using stop-loss orders and leveraged trading during these hours of the week.
◽ When’s the best time to make decisions
During some hours of the week the trading volume usually decreases; at these times, most traders are inactive and do not participate in transactions.
Therefore, the price changes that occur during these times lack conviction.
It is better to make decisions when there are more active traders in the market. At these periods, a relatively high trading volume is usually observed.
How it works
First, it calculates the average traded volume of each period (for example Monday 9:00 AM) from the first bar to the last bar. It then calculates the ratio of the average traded volume in each period to the average traded volume per week. Finally, the result is displayed as a percentage in each cell.
Different values are distinguished by different background colors. Light colors are used for low values and dark colors are used for high values.
Limits
It only works in the 1 hour time frame.
Samples
Stock => AAPL
Futures => ES1!
Forex => EURUSD
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