Absorption BubblesSUMMARY
This indicator visualizes absorption events by plotting bubbles on candle wicks where volume activity suggests one side of the market is absorbing the other’s pressure. Instead of raw volume, the script normalizes activity against a rolling standard deviation defined by the Lookback Period. Bubbles appear on upper or lower wicks depending on whether buyers or sellers are absorbing pressure. The goal is to highlight whether aggressive orders are being accepted or absorbed at key price points.
METHODOLOGY
Absorption occurs when one side of the market absorbs aggressive orders from the other, preventing continuation. The script measures normalized volume against a user‑defined threshold to filter out weaker signals.
Green bubbles on upper wicks → Selling absorption (buyers push price up, sellers absorb the buying).
Red bubbles on lower wicks → Buying absorption (sellers push price down, buyers absorb the selling).
Red‑colored bars highlight candles where large volume is concentrated inside the body, signifying aggressive selling activity.
Green‑colored bars highlight candles where large volume is concentrated inside the body, signifying aggressive buying activity.
The Lookback Period controls how many bars are used to calculate the rolling standard deviation of volume, letting traders adjust sensitivity to recent vs. longer‑term activity. Optional significant volume lines extend forward, marking areas where absorption was strongest.
FUNCTIONS
Normalized volume detection using rolling standard deviation
Adjustable Lookback Period for volume normalization
Dynamic bubble plotting on candle wicks (size scales with absorption strength)
Separate visualization for buying vs. selling absorption
Alerts for buying absorption, selling absorption, or any absorption event (only at bar close)
Bar coloring when large absorption occurs inside candle bodies
APPLICATION
Setup: Add the script to any chart and timeframe. Adjust the Absorption Threshold to filter out weaker bubbles and the Lookback Period to control how volume normalization is calculated. Red bubbles highlight buying absorption, often signalling potential price pivots - price can often go upwards from this. Green bubbles mark selling absorption, reflecting resistance to upward moves - price may go downwards from this.
Interpretation:
Green bubbles on upper wicks = sellers absorbing buying pressure.
Red bubbles on lower wicks = buyers absorbing selling pressure.
Larger bubbles = stronger absorption relative to recent volume.
Settings & Use:
Raising the Absorption Threshold filters out smaller bubbles, leaving only significant absorption events.
Changing the Lookback Period alters how “normal” volume is defined — shorter periods make the script more sensitive, longer periods smooth out noise.
Alerts can be set for buying absorption, selling absorption, or any absorption event, and they only trigger at bar close to avoid noise.
Orderflow
Volume Analysis🙏🏻 (signed) Volume Analysis is 2 of 2 structural layer / ordeflow analysis scripts, while the first one is Liquidity Analysis. Both are independent so can’t be released together as a single script, but should be used together.
The same math used in this script can be applied to other types of aggressive volume data: non-aggregated flow of market orders, volume traded of put vs call options.
There’s no universal agreement about terminology, but this script works with volumes signed by the aggressor who initiated a transaction. Then these volumes get aggregated by time and a cumulative sum is calculated. Mostly this is widely known as Cumulative Volume Delta.
However this script works with 'inferred' volumes vs the provided ones. It’s the better choice for equities, bonds; neutral choice for currencies; and suboptimal choice for natural and artificial commodities.
Contents:
Output description;
How to analyze & use the outputs;
How to use it together with Liquidity Analysis script;
How did I use both scripts to finish The Leap profitably and skipped many losses.
1. Output description
Color of the CVD line reflects (signed) volume imbalance state: red is negative, purple is neutral, blue is positive.
3 purple lines are lower deviation (lower band), basis (middle band), upper deviation (upper band): used to generate signals by a ruleset that would be explained in a minute
Gray number in the script’s status line is the advised input you may put into Inferred volume multiplier in script’s setting, I will explain it
Vertical dash line marks the moving window end, this way you can be certain over what exact data you see the profile was built.
2. How to analyze & use the outputs
Setup up the script:
Moving window length: set it to ~ ¼ of your data analysis window. E.g if you see on your charts and use ~ 256 bars, set the length to 64.
Inferred volume multiplier: you can easily leave it 256, this is not a critical factor for the math, it’s mostly there if you want to ~ equate inferred volumes with real ones in scale. For this, use the gray number in the script status line, it’s calculated as ratio of long term real volumes weighted avg to long term inferred volumes weighted avg.
Again, changing the inferred volume multiplier won’t affect the math.
Use 2 timeframes: main one and a far lower one 3 steps down, just like on the screenshot.
Find out current volume imbalance state:
As mentioned before, based on CVD line color, it can be negative, neutral or positive. This is the state variable that changes slowly and denies/confirms the signals generated by crossovers of CVD line and 3 purple thresholds.
For this I use my own very fast and lightweight metric that is totally statistically grounded, utilizes temporal information, and calculates volume imbalance without using heavy math like regressions as it’s usually done. It also provides a natural neutral zone, when volume imbalance is not strong enough to be confirmed.
...
CVD-based signals:
First you need to understand what precisely a touch of a threshold is:
Touch: an event when either of these 2 happens:
One CVD datapoint is above the threshold, and the next CVD datapoint is below the threshold
One CVD datapoint is below the threshold, and the next CVD datapoint is above the threshold
These are usually called crossovers/crossunders.
Now with the 3 purple thresholds we follow this logic:
Monitor the last touched threshold;
Once another threshold is touched, here we may generate a signal but only once !, after the first generated signal at that threshold we can’t generate more signals on this threshold, we need to wait when CVD comes to another threshold.
If CVD touches one threshold, and then goes down and touches another threshold downwards, we wait when CVD makes a datapoint above this threshold. When it happens, we register a long signal
If CVD touches one threshold, and then goes up and touches another threshold upwards, we wait when CVD makes a datapoint below this threshold. When it happens, we register a short signal
However, don’t open new trades against the current volume imbalance state. So don’t open shorts when the CDV line is blue, and don’t open longs when CVD line is red.
Btw, this technique I call it “reclaim” of a level/threshold. It can be applied to horizontal levels, and it’s very powerful especially when you fade levels on very volatility assets like BTC. This technique allows you to Not fade a level straight away, but wait when price goes past the level a bit, and then comes back and reclaims it, only there you enter, and moreover you now have a very well defined risk point.
The last part is multi-timeframe logic. Prefer to act when a lower timeframe is Not against the main timeframe. That’s all, no multiple higher timeframes are needed.
3. How to use it together with Liquidity Analysis script.
That script also has a mean to generate its own signals, and another state variable called Liquidity Imbalance.
So now you’re not only looking at volume imbalance but also at liquidity imbalance that would deny/confirm the CVD based signal. You need at least one of these two to favor your long or short.
This is the same logic widely used in HFT, where MM bots cancel/shift/resize orders when book is too onesided And ordeflow is one sided as well.
4. How did I use both scripts to finish The Leap profitably and skipped many losses.
Even tho you can use structural information as your main strategic layer, as many so-called orderflow traders do, I traded in objective style: my fade signals were volatility based in essence, and I used ordeflow for better entries and stops, but most importantly to skip losses.
When ‘both‘ liquidity imbalance and volume imbalance (in their main timeframes) were against my trades, I skipped them all, saving many ~$500 stop losses (that was my basis risk unit for the Leap). Unless I had a very strong objective signal, i.e. confluence of several signals, or just one higher timeframe signal, I did all these skips.
I traded ~ intraweek timeframe, so I was analyzing either the last 230 30min bars or 1380 5min bars. Both Liquidity Analysis and (signed) Volume Analysis scripts were set to moving window length 46 or 276 for either granularity.
I finished the leap with 9% profit and max DD ~ 5%, a bit short of my goal of 12.5%. If not these 2 scripts I would’ve finished a bit above breakeven I think.
,,,
Another thing, I made these 2 scripts invite-only because they are made particularly for trading, particularly for certain types of market data. These are tools adapted for particular use case, not like my other posts with general math entities like Kernel Density Estimation or Kalman filter, that you can take and apply properly on any data you need yourself.
However these are made from general math entities like everything else. ‘All’ the components are available in my other scripts, ideas, and other sources related to me. If you want to reverse-engineer these, you can find all the components you need in my already posted open source work.
∞
Liquidity Analysis🙏🏻 Liquidity Analysis is 1 of 2 structural layer / orderflow layer analysis scripts. Both are independent so can’t be released together as a single script, but should be used together. The second one which is called (Signed) Volume Analysis is incoming.
The same math used in this script can be applied on other types of profile-like data: orderbooks, trading volumes of all options for each strike.
Important: market or volume profile, just as orderbooks and options traded volume by strikes, are all liquidity ‘estimates’, showing where liquidity is more likely or less likely to be. These estimates however, especially combined with other info, are really useful and reliable.
This script works with inferred volumes vs the provided one. It's the better choice for equities, bonds; neutral choice for currencies; and suboptimal choice for natural & artificial commodities.
Contents:
Output description;
How to analyze & use the outputs;
How to use it together with upcoming (Signed) Volume Analysis script;
How did I use both scripts to finish The Leap profitably and skipped many losses.
1. Output description
Color of the profile reflects the liquidity imbalance state: red is negative, purple is neutral, blue is positive.
Bar coloring represents history values of liquidity imbalance for backtesting purposes. It can be turned on/off in the script's Style settings.
Two purple vertical lines represent calculated borders of excessive liquidity (HVN), scarce liquidity (LVN), and sufficient liquidity (NVN) zones.
Vertical dash line marks the moving window end, this way you can be certain over what exact data you see the profile was built.
2. How to analyze & use the outputs
Setup up the script:
Moving window length: set it to ~ ¼ of your data analysis window. E.g if you see on your charts and use ~ 256 bars, set the length to 64.
Native tick size multiplier: leave it at 0 to calculate optimal number of rows automatically, or set it manually to match native tick size multiples you desire.
Use 2 timeframes: main one and a far lower one 3 steps down, just like on the screenshot.
Native lot size multiplier allows to round profile rows themselves to nearest multiples of native lot size. I added this just in case any1 needs it.
Find out current liquidity imbalance state:
As mentioned before, based on profile color, it can be negative, neutral or positive. This is the state variable that changes slowly and denies/confirms the signals that would be explained in the minute.
I use my own statistically grounded imbalance metric (no hardcoded/learned thresholds), that unlike mainstream imbalance metrics (e.g orderbook imbalance as sum of bids vs sum of asks) provides a natural neutral zone, when liquidity imbalance is ofc there but not strong enough to be considered.
…
Profile-based signals: look at profile shape vs 2 vertical purple lines.
where profile rows exceed the left purple line, these prices are considered HVN. Too much potential liquidity is there.
where profile rows don’t exceed the right purple line, these prices are considered LVN. Potential thin/lack of liquidity is expected there.
where profile rows are in between these 2 purple lines, these are NVN, or neutral liquidity zones.
Trading ruleset itself is based on couple of simple rules:
Only! Use limit orders hence provide liquidity in LVNs and Only! use stop-market orders hence consume liquidity in HVNs;
These orders should be put in advance ‘only’. This is how you discover the direction or orders: you can only put sell limit orders above you and buy limit orders below you, and you can only put buy stop orders above you, and sell stop orders below you.
This is really it. It may look weird, but once you just try to follow these 2 rules letter by letter for 1 hour, you’ll see how liquidity trading works.
Now once you know that, just don’t open new trades against the liquidity imbalance state. So don’t open shorts when the profile is blue, and don’t open longs when it’s red.
The last part is multi-timeframe logic. Prefer to act when a lower timeframe is Not against the main timeframe. That’s all, no multiple higher timeframes are needed.
3. How to use it together with upcoming (Signed) Volume Analysis script.
That upcoming script would also have a mean to generate its own signals, and another state variable called volume imbalance.
So now you’re not only looking at liquidity imbalance but also at volume imbalance that would deny/confirm a profile based signal. You need at least one of these to favor your long or short.
This is the same logic widely used in HFT, where MM bots cancel/shift/resize orders when book is too onesided And ordeflow is one sided as well.
4. How did I use both scripts to finish The Leap profitably and skipped many losses.
Even tho you can use structural information as your main strategic layer, as many so-called orderflow traders do, I traded in objective style: my fade signals were volatility based in essence, and I used ordeflow for better entries and stops, but most importantly to skip losses.
When ‘both‘ liquidity imbalance and volume imbalance (in their main timeframes) were against my trades, I skipped them all, saving many ~$500 stop losses (that was my basis risk unit for the Leap). Unless I had a very strong objective signal, i.e confluence of several signals, or just one higher timeframe signal, I did all these skips.
I traded ~ intraweek timeframe, so I was analyzing either the last 230 30min bars or 1380 5min bars. Both Liquidity Analysis and (signed) Volume Analysis scripts were set to moving window length 46 or 276 for either granulary.
I finished the leap with 9% profit and max DD ~ 5%, a bit short of my goal of 12.5%. If not these 2 scripts I would’ve finished a bit above breakeven I think.
∞
BT Delta AbsorptionBT Absorption detects aggressive counterflow volume—moments where one side
of the market (buyers or sellers) attacks aggressively, yet price fails to move
proportionally.
This is the classic definition of absorption:
"Large market orders are being absorbed by strong passive limit orders."
Absorption is one of the most reliable early signals for:
Reversals
Trap conditions
Failed breakouts
Liquidity grabs
Fake displacement moves
---
■ What BT Absorption Measures
1. Delta Imbalance
Identifies when buying or selling pressure becomes unusually one-sided.
2. Volatility Mismatch
Shows when large delta does NOT translate into meaningful price movement.
3. Absorption Strength Score
A normalized reading (often 0–100) showing the intensity of counterflow activity.
4. Wick & Structure Absorption
Wick-driven absorption helps identify:
Failed sweeps
Stop hunts
Rejection zones
Trapped traders
---
■ Why Absorption Matters
Absorption almost always precedes:
Reversals
Failed breakout moves
SMC/ICT-style displacement
Order block formation
Trend continuation after a trap
When aggressive traders cannot move price toward their desired direction,
the move typically reverses quickly—and with force.
---
■ Visual Elements
• Bull Absorption Marker
Often appears near lows—signals seller aggression failing to push price down.
• Bear Absorption Marker
Often appears near highs—signals buyer aggression failing to break higher.
• Absorption Score Heatmap (optional)
Shows intensity of absorption per candle.
• Threshold Levels
Identify when absorption becomes statistically significant.
---
■ How to Use BT Absorption in Trading
1. Reversal Detection
Look for absorption after:
Equal highs/lows
Sweeps
Stop runs
Breakout failures
This is often the earliest possible signal that a reversal is coming.
2. Filter Breakouts
A breakout without absorption is usually weak.
A breakout with absorption against it is likely a fakeout.
3. Confirm SMC/ICT Concepts
The indicator pairs perfectly with:
Fair Value Gaps
Order Blocks
Liquidity sweeps
Displacement legs
If your setup triggers and absorption confirms → high confidence.
4. Identify Trap Conditions
Absorption often marks:
Trapped breakout chasers
Trapped trend shorts
Imbalanced orderflow
These create ideal high-R trades.
5. Alert-Driven Market Monitoring
Use alerts for:
Bull Absorption
Bear Absorption
High-strength absorption
Absorption clusters
This allows traders to step away from charts while still catching
high-probability reversals.
---
■ High-Probability Absorption Setups
A) Sweep + Absorption
Swept level → absorption → enter opposite direction.
B) Failed Breakout Absorption
Breaks structure → delta fails → absorption prints → strong reversal.
C) Trend Continuation Absorption
Absorption against the correction often precedes continuation.
D) Absorption Clusters
Multiple absorption signals indicate a structural market shift.
---
■ Final Summary
BT Absorption provides:
Early reversal signals
Counterflow pressure detection
Confirmation for existing setups
Identification of liquidity traps
Alert-based monitoring across multiple markets
BT Absorption is the perfect complement to BT Spike:
• BT Spike = detects volatility ignition
• BT Absorption = detects failed aggression + reversals
Combined, they form a complete liquidity and orderflow toolkit.
Volume Flow Anatomy [Kodexius]Volume Flow Anatomy is a dynamic, multi-dimensional volume map that reconstructs how buy, sell, and “stealth” activity is distributed across price rather than just across time. Instead of relying on a static, session-based volume profile, it uses an exponentially decaying memory of recent bars to build a constantly evolving “anatomy” of the auction, where each price level carries an adaptive history of order flow.
The script separates buy vs. sell pressure, adds a third “Stealth Flow” dimension for low-volume price movement (ease of movement / divergence), and automatically derives POC, Value Area, imbalances, absorption zones, and classic profile shapes (D, P, b, B). This gives the trader a compact but highly information-dense map on the right side of the chart to read control (buyers vs. sellers), structure (balanced vs. trending vs. double distribution), and key reaction levels (support/resistance born from flow, not just wicks).
🔹 Features
🔸 Dynamic Lookback with Decay
- The script computes an effective lookback N from the Decay Factor and caps it with Max Lookback.
- Higher decay keeps more history; lower decay emphasizes the most recent flow.
- The profile continuously adapts as new bars are printed.
🔸 Price-Bucketed Flow Map
Each bucket accumulates:
- Sell Flow (sell pressure)
- Buy Flow (buy pressure)
- Stealth Flow (low-volume price movement)
- Box width at each bucket is proportional to the relative intensity of that component.
🔸 Stealth Flow (Low-Volume Price Movement)
- Measures close to close movement relative to volume, emphasizing price movement that occurs on comparatively low volume.
- Helps reveal hidden participation, inefficient moves, and areas that may be vulnerable to re-tests or reversions.
🔸 POC & 70% Value Area (VA)
- Identifies the Point of Control (price bucket with the highest total volume) over the effective lookback.
- Builds a 70% Value Area by expanding from POC towards the nearest high volume neighbors until 70% of the total volume is included.
- POC is drawn as a line over the analyzed range; VA is displayed as a shaded band in the profile area.
🔸 Market Profile Shape Detection
Splits the profile vertically into three zones (bottom / middle / top) and compares their volume distribution.
Classifies structure as:
- D-Shape (Balanced)
- P-Shape (Short Covering)
- b-Shape (Long Liquidation)
- B-Shape (Double Distribution)
Displays a shape label with color coded bias for quick auction context interpretation.
🔸 Imbalance Zones & Absorption
Imbalance: detects buckets where Buy Flow or Sell Flow exceeds the opposite side by at least Imbalance Ratio.
Absorption: flags zones with high volume but low price “ease”, where price is not moving much despite significant volume.
Extends these levels into horizontal zones, marking potential support/resistance and trap areas.
Bullish Imbalance Zone :
Bearish Imbalance Zone :
Absorption Zone :
🔸 Range Context & On-Chart Legend
Draws a Range Box covering the dynamically determined lookback (N bars), with a label displaying the effective bar count.
A bottom-right legend summarizes:
- Color keys for Buy / Sell / Stealth
- POC / VA status
- Bullish vs. Bearish dominance percentage
- Profile shape classification
- Imbalance and Absorption conventions
🔹 Calculations
1. Dynamic Lookback & Price Buckets
int N = math.min(int(4 / (1 - decayFactor) - 1), maxHistory)
float priceHigh = ta.highest(high, N)
float priceLow = ta.lowest(low, N)
float bucketSize = (priceHigh - priceLow) / bucketCount
The effective lookback N is derived from the Decay Factor, using the approximation 4 / (1 - decay) to capture roughly 99% of the decayed influence, then capped with maxHistory to control performance. Over that adaptive range, the script finds the highest and lowest prices and divides the band into bucketCount equal slices (bucketSize). Each slice is a price bucket that will accumulate volume-flow information.
2. Exponentially Decayed Volume Allocation
addValue(array profile, float weight, float minPrice, float maxPrice) =>
for j = 0 to bucketCount - 1
float bucketMin = priceLow + j * bucketSize
float bucketMax = bucketMin + bucketSize
float overlapMin = math.max(minPrice, bucketMin)
float overlapMax = math.min(maxPrice, bucketMax)
float overlapRange = overlapMax - overlapMin
if overlapRange > 0
profile.set(j, profile.get(j) * decayFactor + weight * overlapRange)
This function is the core engine of the indicator. For a given price span and intensity, it checks every bucket for overlap, distributes the weight proportionally to the overlapping range, and before adding new value, decays the existing bucket content by decayFactor. This results in an exponentially weighted profile: recent activity dominates, while older levels retain a gradually fading footprint.
3. POC and 70% Value Area
array totalProfile = array.new(bucketCount, 0)
for j = 0 to bucketCount - 1
float total = sellProfile.get(j) + buyProfile.get(j)
totalProfile.set(j, total)
if total > eaMax
eaMax := total
int pocIdx = 0
float pocVal = 0.0
for j = 0 to bucketCount - 1
if totalProfile.get(j) > pocVal
pocVal := totalProfile.get(j)
pocIdx := j
float totalSum = totalProfile.sum()
float targetSum = totalSum * 0.70
int vaLow = pocIdx
int vaHigh = pocIdx
float currentSum = pocVal
while currentSum < targetSum and (vaLow > 0 or vaHigh < bucketCount - 1)
float lowVal = vaLow > 0 ? totalProfile.get(vaLow - 1) : 0.0
float highVal = vaHigh < bucketCount - 1 ? totalProfile.get(vaHigh + 1) : 0.0
First, totalProfile is built as the sum of buy and sell flow per bucket, and eaMax (the maximum total) is tracked for later normalization. The POC bucket (pocIdx) is simply the index with the highest totalProfile value.
To compute the 70% Value Area, the algorithm starts at the POC bucket and expands outward, each step adding either the upper or lower neighbor depending on which has more volume. This continues until the cumulative volume reaches 70% of totalSum. The result is a volume-driven VA, not necessarily symmetric around POC, which more accurately represents where the market has truly traded.
4. Market Profile Shape Classification
float volTopThird = 0.0
float volMidThird = 0.0
float volBotThird = 0.0
int thirdIdx = int(bucketCount / 3)
for j = 0 to bucketCount - 1
float val = totalProfile.get(j)
if j < thirdIdx
volBotThird += val
else if j < thirdIdx * 2
volMidThird += val
else
volTopThird += val
float totalVolShape = totalProfile.sum()
string shapeStr = "D-Shape (Balanced)"
if (volTopThird > totalVolShape * 0.20) and (volBotThird > totalVolShape * 0.20) and (volMidThird < totalVolShape * 0.50)
shapeStr := "B-Shape (Double Dist)"
else
if pocIdx > bucketCount * 0.5 and volTopThird > volBotThird * 1.3
shapeStr := "P-Shape (Short Covering)"
else if pocIdx < bucketCount * 0.5 and volBotThird > volTopThird * 1.3
shapeStr := "b-Shape (Long Liquidation)"
else
shapeStr := "D-Shape (Balanced)"
The profile is split into bottom, middle, and top thirds. The script compares how much volume is concentrated in each and combines that with the relative location of POC. If both extremes are heavy and the middle light, it labels a B-Shape (double distribution). If the POC is high and the top dominates the bottom, it’s a P-Shape (short covering). If the POC is low and the bottom dominates, it’s a b-Shape (long liquidation). Otherwise, it defaults to a D-Shape (balanced). This provides a quick, at-a-glance assessment of auction structure.
5. Imbalances, Absorption & Zones
bool isBuyImb = showImb and sVal > 0 and (bVal / sVal >= imbRatio)
bool isSellImb = showImb and bVal > 0 and (sVal / bVal >= imbRatio)
float volRatio = eaMax > 0 ? tVal / eaMax : 0
float stRatio = esmRange > 0 ? (stVal - esmMin) / esmRange : 1.0
bool isAbsorp = showAbsorp and volRatio > 0.6 and stRatio < 0.25
if showImbZone
if isSellImb
zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...))
if isBuyImb
zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...))
if isAbsorp
zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...))
Imbalances are identified where one side’s volume (buy or sell) exceeds the other by at least Imbalance Ratio. These buckets are marked as buy or sell imbalance zones, indicating aggressive participation from one side.
Absorption is detected by combining a high volume ratio (volRatio) with a low normalized stealth ratio (stRatio). High volume with limited price movement suggests that opposing orders are absorbing flow at that level. Both imbalance and absorption buckets are extended into horizontal zones from the start of the lookback to the current bar, visually emphasizing key support/resistance and liquidity areas.
6. Building Buy, Sell & Stealth Profiles
sellProfile := array.new(bucketCount, 0)
buyProfile := array.new(bucketCount, 0)
stealthProfile := array.new(bucketCount, 0)
Three arrays are used to store Sell Flow, Buy Flow, and Stealth Flow. Bars are processed from oldest to newest so that decay is applied in correct chronological order. For each bar, a volume density (volume / range) is calculated and distributed across the candle range. Bull candles feed buyProfile, bear candles feed sellProfile.
Stealth Flow computes the close-to-close move between consecutive bars, scaled by 1 / (1 + volume). Big moves on low volume produce high stealth values, which are then allocated across the move’s price span into stealthProfile. This yields a three-layer profile per price level: directional volume and stealthy price movement.
Direction via Zone Break [by rukich]🟠 OVERVIEW
The indicator shows the direction of movement and zones: SSL, BSL, FVG.
Zones serve as support/resistance and as validation/invalidation of a movement reversal.
🟠 COMPONENTS
The direction of movement is built based on a three-candle swing high (BSL) and swing low (SSL) pattern. If swing high (BSL) and swing low (SSL) are formed, and then an internal swing high/low is formed (depending on the direction of movement), then in case the initial movement continues — for example, in an upward movement — the new swing low (SSL) will be the minimum before the update, i.e., the internal low, while the swing high (BSL) will be formed according to the three-candle pattern.
A change of direction is considered when a candle closes beyond the key swing high/low (BSL/SSL), depending on the direction of movement. For example, in an upward movement, a break occurs when a candle closes beyond the swing low (SSL). After that, the swing high (BSL) will be the nearest fractal (swing high), and the swing low (SSL) will be formed according to the three-candle pattern.
All the above logic also applies to downward movements.
Within each movement, there can be FVG zones, which can act as support/resistance or indicate weakness in the movement direction.
Note: if the movement is upward, only bullish FVG+ will be displayed; if the movement is downward, only bearish FVG- will be displayed.
Weakness of movement direction.
For example, consider an upward impulse with the nearest FVG+ zone. If the price closes beyond the lower boundary of the zone, it will be considered invalidated (inv. FVG-), which in turn indicates weakness in the movement direction and a possible local short, which may subsequently lead to a break of the entire movement.
🟠 HOW TO USE
There are only two visual settings in the configuration:
Show previous SSL/BSL – enables/disables the display of all previous SSL/BSL zones
Show Bullish/Bearish trend – enables/disables background shading between SSL and BSL for visual understanding of the movement direction
On the chart, the following are displayed:
Labels with current SSL/BSL
FVG+- / inv. FVG+- zones, for trading in the movement direction
In case the nearest FVG is invalidated, a label will appear with the text: Weak bullish/bearish & local short/long (this is not a signal, but only indicates the probability of a potential move based on the weakness of the nearest zone)
🟠 CONCLUSION
The indicator helps determine the current movement with zones for trading in the direction, and also indicates movement weakness through invalidation of the nearest zones.
Double Whammy Stop‑Run IndicatorThis indicator simulates the institutional "Double Whammy" order flow setup—for order flow traders—using standard Price Action and Volume analysis.
Since TradingView does not provide native access to Level 3 data (Stop Orders and Iceberg Orders), this script uses a proprietary algorithm to create a "proxy" for these events using relative volume anomalies, candle body strength, and market structure breaks.
The Concept
The "Double Whammy" is a reversal pattern that relies on the interaction between trapped retail traders and institutional absorption. It occurs in two specific phases:
The Stop Run (The Trap): Price aggressively breaks a significant recent High or Low on high volume. This represents retail stop-losses being triggered or breakout traders getting trapped.
The Absorption (The Whammy): Instead of continuing in the direction of the breakout, price is immediately absorbed by "Iceberg" orders (limit orders) and reverses with high intensity.
How It Works (The Logic)
This script identifies these two phases using the following logic:
1. Identifying the Stop-Run Proxy
The script monitors for a specific set of conditions to identify a potential trap:
Market Structure: The price must make a new High or Low based on the user-defined Lookback period (default 50 bars).
Volume Spike: The bar must have a volume significantly higher than the average (defined by the Volume Multiplier), suggesting a capitulation or stop-cascade.
Candle Strength: The bar must be a strong trend bar (large body relative to wicks) to mimic the look of a breakout.
2. Identifying the Absorption
Once a Stop-Run is detected, the script opens a "Window of Opportunity" (shaded background). For a valid signal to generate, a reversal must occur within Max Bars (default 3):
Reversal: A candle of the opposite color must appear.
Engulfing Logic: The reversal candle must close back inside the range (below the High of a bullish trap, or above the Low of a bearish trap).
Momentum: The reversal candle must also show significant volume and body strength.
Visual Guide
Background Shading (Green/Red): Indicates a Stop-Run has just occurred. This is a warning zone. Do not trade yet.
"DW" Label (Double Whammy): An immediate reversal occurred on the very next bar after the stop run.
"DDW" Label (Delayed Double Whammy): The reversal occurred 2 or 3 bars later, but still within the valid window.
Settings
Lookback Bars: The range used to determine significant Support/Resistance levels (Default: 50).
Max Bars to Absorption: How many bars the market has to reverse before the setup is considered invalid (Default: 3).
Volume Multiplier: How much larger current volume must be compared to the SMA to qualify as a "Stop Run" (Default: 1.5x).
Body/Range Ratio: Filters out Doji candles or weak moves. Higher numbers require stronger candles.
Disclaimer
This tool is intended for educational purposes and to assist in identifying high-volatility reversal zones. It uses price and volume proxies to estimate order flow events and does not track actual Level 3 limit orders. Always combine this indicator with your own risk management and market analysis.
Use Arrow Up and Arrow Down to select a turn, Enter to jump to it, and Escape to return to the chat.
Bookmap Style Aggressor Bubbles
This indicator is designed to emulate the visual aesthetic of professional Order Flow software (such as Bookmap) directly within TradingView. It replaces the traditional candlestick view with a clean "Microstructure" Step Line and highlights significant volume events using dynamic "Aggressor Bubbles."
This tool is perfect for traders who practice Order Flow analysis, Scalping, or VSA (Volume Spread Analysis) and want to visualize the relative intensity of buyers and sellers without the noise of traditional wicks and bodies.
1. How it Works
Since TradingView Pine Script operates on OHLCV (Level 1) data, this indicator uses a heuristic model to approximate Order Flow dynamics:
Aggressor Bubbles (Volume Spikes):
The script calculates a Relative Volume (RVOL) metric by comparing the current bar's volume against a 50-period Simple Moving Average (SMA).
If the current volume exceeds a user-defined threshold (e.g., 2.0x the average), a bubble is plotted.
Size: The bubble size scales dynamically based on how massive the volume spike is (Small, Normal, Large, Huge).
Direction (Color): The aggressor side is approximated using the price action of the bar. If Close >= Open, it is treated as Buy Aggression (Green). If Close < Open, it is treated as Sell Aggression (Red).
Microstructure Price Line:
Standard candles can obscure the immediate path of price. This indicator includes a Step Line option that plots the closing price. This mimics the "Last Price" feed seen in DOM-based software, allowing you to see exactly where price held or broke.
2. Features
Smart Filtering: Filters out low-volume noise. You only see bubbles when "Whales" or significant liquidity changes occur.
Visual Customization: Fully adjustable colors for Buy/Sell bubbles and the price line.
Alert System: Includes a built-in alert that triggers whenever a significant Aggressor Bubble appears, allowing you to be notified of high-activity moments instantly.
Clean Aesthetic: Optimized for Dark Mode/Black backgrounds.
3. How to Use
Chart Setup (Important): For the best experience, hide your standard candles. Go to Chart Settings > Symbol and uncheck Body, Borders, and Wick.
Settings: Set your background to Black.
Interpretation:
Breakouts: Look for large bubbles pushing price through a key level. This indicates strong momentum.
Absorptions: Look for large bubbles appearing at the top/bottom of a range without price follow-through. This often suggests a reversal (Passive limit orders absorbing the aggressive market orders).
4. Technical Disclosure & Limitations
Please note that TradingView Pine Script provides access to OHLCV (History) data, not historical Tick-by-Tick or Level 2 (Depth of Market) data. Therefore, this indicator is a simulation. The "Aggressor" side is derived from bar direction, and the bubbles represent executed volume per bar, not individual tick clusters. It is intended for visual analysis and identifying high-volume nodes relative to recent history.
Viprasol Elite Flow Pro - Premium Order Flow & Trend System═══════════════════════════════════════════════════════════════
🔥 VIPRASOL ELITE FLOW PRO
Professional Order Flow & Trend Detection System
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📊 WHAT IS THIS INDICATOR?
Viprasol Elite Flow Pro is a comprehensive trading system that combines institutional order flow analysis with adaptive trend detection. Unlike basic indicators, this tool identifies high-probability setups by analyzing where smart money is likely positioning, while filtering signals through multiple confirmation layers.
This indicator is designed for traders who want to:
✓ Identify premium (supply) and discount (demand) zones automatically
✓ Detect trend direction with adaptive cloud technology
✓ Spot high-volume rejection points before major moves
✓ Filter low-quality signals with intelligent confirmation logic
✓ Track market strength in real-time via elite dashboard
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🎯 CORE FEATURES
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1️⃣ ELITE TREND ENGINE
• Adaptive Moving Average system (Fast/Adaptive/Smooth modes)
• Dynamic trend cloud that expands/contracts with volatility
• Real-time trend state tracking (Bullish/Bearish/Ranging)
• Trend strength meter (0-10 scale)
• ATR-based volatility adjustments
2️⃣ ORDER FLOW DETECTION
• Automatic Premium Zone (Supply) identification
• Automatic Discount Zone (Demand) identification
• Smart zone extension - zones remain valid until broken
• Zone rejection detection with price action confirmation
• Customizable zone strength (5-30 bars lookback)
3️⃣ VOLUME INTELLIGENCE
• Volume spike detection (configurable threshold)
• Climax bar identification (exhaustion signals)
• Volume filter for signal validation
• Institutional activity detection
4️⃣ SMART SIGNAL SYSTEM
• 3 Signal Modes: Aggressive, Balanced, Conservative
• Multi-layer confirmation logic
• Automatic profit targets (2:1 risk-reward)
• Stop loss suggestions based on ATR
• Prevents overtrading with bars-since-signal filter
5️⃣ ELITE DASHBOARD (HUD)
• Real-time trend direction and strength
• Volume status monitoring
• Active zones counter
• Market volatility gauge
• Current signal status
• 4 positioning options, compact mode available
6️⃣ PREMIUM STYLING
• 4 Professional color themes (Cyber/Gold/Ocean/Fire)
• Adjustable transparency and label sizes
• Clean, institutional-grade visuals
• Optimized for all chart types
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📖 HOW TO USE THIS INDICATOR
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STEP 1: TREND IDENTIFICATION
→ Green Cloud = Bullish trend - look for LONG opportunities
→ Red Cloud = Bearish trend - look for SHORT opportunities
→ Purple Cloud = Ranging - wait for breakout or fade extremes
STEP 2: ZONE ANALYSIS
→ PREMIUM (Red) zones = Potential resistance/supply areas
→ DISCOUNT (Green) zones = Potential support/demand areas
→ Price rejecting from zones = high-probability setups
STEP 3: SIGNAL CONFIRMATION
→ Wait for "LONG" or "SHORT" labels to appear
→ Check dashboard for trend strength (Moderate/Strong preferred)
→ Confirm volume status is "HIGH" or "CLIMAX"
→ Entry: Enter when label appears
→ Stop Loss: Use dotted line (1 ATR away)
→ Take Profit: Use dashed line (2 ATR away)
STEP 4: RISK MANAGEMENT
→ Never risk more than 1-2% per trade
→ Use the provided stop loss levels
→ Trail stops as price moves in your favor
→ Avoid trading during low volatility periods
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⚙️ RECOMMENDED SETTINGS
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FOR SCALPING (1M - 5M):
- Trend Type: Fast
- Sensitivity: 15
- Signal Mode: Aggressive
- Zone Strength: 8
FOR DAY TRADING (15M - 1H):
- Trend Type: Adaptive
- Sensitivity: 21 (default)
- Signal Mode: Balanced
- Zone Strength: 12 (default)
FOR SWING TRADING (4H - Daily):
- Trend Type: Smooth
- Sensitivity: 34
- Signal Mode: Conservative
- Zone Strength: 20
BEST MARKETS:
✓ Crypto (BTC, ETH, major altcoins)
✓ Forex (Major pairs: EUR/USD, GBP/USD)
✓ Indices (S&P 500, NASDAQ, DAX)
✓ High-liquidity stocks
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🎓 UNDERSTANDING THE METHODOLOGY
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This indicator is built on three core concepts:
1. ORDER FLOW THEORY
Markets move between premium (expensive) and discount (cheap) zones. Smart money accumulates in discount zones and distributes in premium zones. This indicator identifies these zones automatically.
2. ADAPTIVE TREND FOLLOWING
Unlike fixed-period moving averages, the Elite Trend Engine adjusts to current market volatility, providing more accurate trend signals in both trending and ranging conditions.
3. CONFLUENCE-BASED ENTRIES
Signals only trigger when multiple conditions align:
- Price in correct zone (premium for shorts, discount for longs)
- Trend confirmation (cloud color matches direction)
- Volume validation (spike or climax present)
- Price action strength (strong rejection candles)
This multi-layer approach dramatically reduces false signals.
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🔔 ALERT SETUP
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This indicator includes 5 alert types:
1. Long Signal → Triggers when buy conditions met
2. Short Signal → Triggers when sell conditions met
3. Volume Climax → Warns of pot
BT Aggressionv0.3.1 Beta Release
The BT Aggression Indicator is a high-resolution market sentiment and aggression tool for futures trading. It combines volume delta, volatility normalization, and dynamic smoothing to give traders real-time insight into market pressure.
Detailed description in future release.
Dynamic Support and Resistance with Trend LinesDynamic Support and Resistance with Trend Lines (DSRTL)
1. Introduction & Methodology
The DSRTL indicator is designed to provide a multidimensional analysis of market structure. Unlike traditional tools that rely solely on price pivots, this script combines Static Volume-based Zones with Dynamic Trend Lines to evaluate the price's position relative to critical market components.
The S/R Identification Technique
Instead of standard pivot points, DSRTL utilizes Volume Analysis to highlight areas of significant trader participation:
- Strategy A:
Matrix Climax: Identifies candles within the lookback period that are near price extremes (Highs/Lows) and coincide with significant buying or selling volume.
- Strategy B:
Volume Extremes: Detects candles with the absolute highest buy/sell volumes within the selected lookback window, creating extreme volume-based S/R zones.
- Result:
This creates Support/Resistance (S/R) zones that are validated by actual market activity, not just price geometry.
Dynamic Trend Lines
To complement the static zones, the indicator employs two adaptive channel methods:
- Pivot Span: Connects recent significant pivots for a fast, reactive trend corridor.
- 5-Point Channel: Segments the lookback period into 5 parts to perform a linear regression analysis, creating a stable and statistically significant channel.
2. Volume Calculation Methodology
Accurate S/R detection requires distinguishing Buy Volume from Sell Volume. DSRTL offers two calculation modes:
- Geometry (Source File): Estimates buy/sell volume based on the Close price's position relative to the High/Low of the candle.
Note: This is an approximation that works on all plan types as it does not require intrabar data.
- Intrabar (Precise): Analyzes historical lower-timeframe data (e.g., 15S) to calculate intrabar-based volume deltas with higher precision compared to the geometric method.
Note: This offers superior accuracy. It requires access to historical intrabar data (depending on your plan limits). For the best analytical results, use this mode if available.
3. The Smart Matrix Engine (3D Analysis)
The core of DSRTL is its dashboard, powered by the "Smart Matrix Engine." This engine evaluates the current price in a multi-layer market structure context (Static Volume Zones + Dynamic Channels + Volume Metrics).:
A. S-State (Static): Where is the price relative to the Volume S/R zones?
B. D-State (Dynamic): Where is the price relative to the Trend Channels?
How to read the Matrix Map:
The dashboard displays a 5x5 grid representing 25 possible market scenarios.
- Rows (S1-S5): Represent the Static State (S1=Breakout, S3=Mid-Range, S5=Breakdown).
- Columns (D1-D5): Represent the Dynamic State (D1=Overextended Up, D3=Neutral, D5=Overextended Down).
- Active Cell: Marked with a dot, indicating the specific intersection of price action and market structure.
4. Matrix Interpretations (The 25 Scenarios)
Below is the detailed logic for every possible state displayed on the dashboard, explaining the Title, Bias, and actionable Signal.
Section I: S1 - Static Breakout (Price > Static Resistance)
The price has cleared the static volume resistance zone.
- S1 / D1: HYPER EXTENSION
Bias: Extreme Bullish
Signal: Caution: Exhaustion Risk. Trail stops tight.
- S1 / D2: RESISTANCE CLASH
Bias: Bullish
Signal: Breakout confirmed but facing immediate dynamic resistance.
- S1 / D3: CHANNEL BREAKOUT
Bias: Strong Bullish
Signal: Ideal Trend Continuation. Look to buy dips.
- S1 / D4: SMART PULLBACK
Bias: Bullish (Pullback)
Signal: A pullback occurring after a breakout. Strong buy opportunity.
- S1 / D5: CONFLICT (DIV)
Bias: Conflict/Reversal
Signal: Major Divergence. Static breakout is failing against dynamic structure. High Risk.
Section II: S2 - Inside Static Resistance
The price is currently testing the overhead resistance zone.
- S2 / D1: WEAK SPIKE
Bias: Neutral/Bullish
Signal: Testing resistance, but short-term overextended.
- S2 / D2: IRON FORTRESS (R)
Bias: Rejection Risk
Signal: Double Resistance (Static + Dynamic). High probability of rejection.
- S2 / D3: TESTING RES
Bias: Neutral
Signal: Consolidating at resistance. Wait for a clear break or rejection.
- S2 / D4: COMPRESSION (UP)
Bias: Conflict (Squeeze)
Signal: Squeezed between Static Resistance and Dynamic Support. Volatility imminent.
- S2 / D5: RES vs DOWN-TREND
Bias: Bearish
Signal: Strong downtrend meeting static resistance. Potential Short entry.
Section III: S3 - Mid-Range
The price is floating between significant Static Support and Resistance.
- S3 / D1: OVERBOUGHT RANGE
Bias: Rejection Risk (OB)
Signal: Overextended within the range. Potential fade (short).
- S3 / D2: RANGE HIGH LIMIT
Bias: Neutral/Bearish
Signal: At the top of the dynamic channel. Look for rejection signs.
- S3 / D3: NEUTRAL / CHOPPY
Bias: Neutral
Signal: Dead Center. Low probability environment. Avoid trading.
- S3 / D4: RANGE DIP BUY
Bias: Neutral/Bullish
Signal: At the bottom of the dynamic channel. Look for bounce signs.
- S3 / D5: WEAK RANGE (OS)
Bias: Bounce Risk (OS)
Signal: Oversold within the range. Potential fade (long).
Section IV: S4 - Inside Static Support
The price is currently testing the floor support zone.
- S4 / D1: SUP vs UP-TREND
Bias: Bullish
Signal: Strong uptrend meeting static support. Potential Long entry.
- S4 / D2: COMPRESSION (DN)
Bias: Conflict (Squeeze)
Signal: Squeezed between Static Support and Dynamic Resistance. Volatility imminent.
- S4 / D3: TESTING SUPPORT
Bias: Neutral
Signal: Consolidating at support. Wait for a bounce or breakdown.
- S4 / D4: IRON FLOOR (S)
Bias: Bounce Risk
Signal: Double Support (Static + Dynamic). High probability of a bounce.
- S4 / D5: WEAK DIP
Bias: Neutral/Bearish
Signal: Testing support, but short-term oversold.
Section V: S5 - Static Breakdown (Price < Static Support)
The price has dropped below the static volume support zone.
- S5 / D1: CONFLICT (DIV)
Bias: Conflict/Reversal
Signal: Major Divergence. Static breakdown is failing. High Risk.
- S5 / D2: BEAR PULLBACK
Bias: Bearish (Pullback)
Signal: A pullback occurring after a breakdown. Strong selling opportunity.
- S5 / D3: CHANNEL BREAKDOWN
Bias: Strong Bearish
Signal: Ideal Trend Continuation (Down). Sell rallies.
- S5 / D4: SUPPORT CLASH
Bias: Bearish
Signal: Breakdown confirmed but facing immediate dynamic support.
- S5 / D5: HYPER DROP (VOID)
Bias: Extreme Bearish
Signal: Caution: Climax risk. Trail stops for shorts.
DISCLAIMER & EDUCATIONAL PURPOSE
This indicator is strictly an educational tool designed to visualize complex market structure concepts. Its primary purpose is to help traders "bridge the gap" between academic theory and real-time market behavior by providing a visual representation of support, resistance, and volume dynamics.
Please Note:
1. Not a Trading Strategy: This script is an analytical assistant, not a standalone "Black Box" trading system. It does not generate buy or sell signals that should be followed blindly.
2. No Financial Advice: The data provided by this tool is for informational purposes only. It is not a recommendation to buy or sell any asset.
3. Risk Warning: Trading involves significant risk. Always use your own judgment, perform your own technical analysis, and use proper risk management. Do not use this tool as the sole basis for your trading decisions.
4. Data Precision & Platform Limits: The "Intrabar (Precise)" calculation mode relies on high-resolution historical data to provide exact results. Access to this specific data depth depends entirely on your platform's subscription capabilities. If your plan does not support this level of historical intrabar data, the Precise mode may have limited coverage. In that case, you should switch to "Geometry" mode for a fully populated view.
ICT FVG & Order Flow (IRL to ERL)Overview
Master liquidity with precision. This indicator brings the iCT trading concept to life by automatically detecting liquidity pools, fair value gaps, and key swing points. It shows you exactly where price is likely to move next — from Internal Range Liquidity (IRL) to External Range Liquidity (ERL). With built-in alerts and multi-timeframe validation, it helps you stay one step ahead of the market.
Concept
Markets move where liquidity is. According to iCT theory, price usually sweeps internal liquidity (IRL) first and then hunts for external liquidity (ERL). By mapping this process in real time, the indicator provides a clear framework for understanding market structure, liquidity grabs, and directional bias.
How it works
Detects the High-Probability Leg (HPL) — the leg containing a fair value gap (FVG)
Highlights unmitigated FVGs within the current context.
Marks swing points (SPs), IRL levels, and ERL targets automatically.
Identifies IRL rejections when liquidity is taken inside the leg.
Identifies if a FVG is Respected or Disrespected by 2 Candle Rejection (2CR)
Notifies you of every critical liquidity event:
New context leg
New FVG
IRL rejection
ERL or SP liquidity sweep
FVG is Respected or Disrespected by 2CR
Key Features
Automatic drawing of IRL, ERL, and SP levels
FVG types: Simple FVG or Breakaway Gap (BAG)
Multi-timeframe sweep check – if a single candle takes both IRL and ERL, the indicator zooms into a lower timeframe to confirm which liquidity was swept first
Fully customizable alerts for all liquidity events
Flexible settings for swing points, lookback depth, colors, and style
How to use
Start from the monthly chart to define the macro trend.
Analyze the latest order flow leg:
Bullish FVG = bullish context
Bearish FVG = bearish context
Step down to the daily timeframe and repeat the analysis.
Wait for price to approach or reject from IRL (the indicator highlights it automatically).
Drop to a lower timeframe for entries — use timeframe alignment to select the right LTF.
Enter with the FVG model, targeting liquidity within the leg.
Place take profit inside the context — e.g., never above ERL in a bullish setup.
🔔 Alerts
New Context
New FVG
IRL Rejection
ERL Sweep
SP Sweep
2CR
⚙️ Customization
Context side (auto/manual)
LTF pointer (auto/manual)
Show/hide Resistance FVG, Overlapping Defense, ERL/SP sweeps, 2CR
Look back bars, swing lines, swing length, line offsets
* Full color customization (FVG, bullish/bearish, labels, boxes)
Order Flow AnalysisOrder Flow Pressure Suite — Wick, Volume & Absorption-Based Pressure Map
This indicator builds a composite buying/selling pressure score from candle structure, volume behavior, and absorption signals.
It is designed to infer the “intent” behind price moves by looking at how candles form, where they close, and how volume behaves — even without access to true bid/ask or footprint data.
Core Concepts
Wick-to-Body Analysis
The script evaluates the ratio of upper and lower wicks to the total candle range.
Strong wicks with relatively small bodies are treated as rejections :
Long upper wick → potential selling pressure / rejection of higher prices
Long lower wick → potential buying pressure / rejection of lower prices
Close Position Analysis
The close is normalized within the candle range:
Close near the high → bullish pressure
Close near the low → bearish pressure
Close near the middle → more neutral , context taken from wicks and volume
Volume Delta Estimation
Since true bid/ask data is not available on standard charts, the script estimates “volume delta” by distributing total volume between buyers and sellers based on candle characteristics:
Bull candles receive more “buying volume,” weighted toward closes near the high
Bear candles receive more “selling volume,” weighted toward closes near the low
This is an approximation of order flow, not a direct time & sales feed.
Absorption Detection
The script looks for candles where volume is high but price movement is relatively small .
This combination often suggests:
Bullish absorption → buyers absorbing aggressive selling (potential accumulation)
Bearish absorption → sellers absorbing aggressive buying (potential distribution)
Absorption zones are tracked over a configurable lookback and can be shaded in the background.
Composite Pressure Oscillator
All the above components (wicks, close position, heuristic volume delta, absorption bias) are blended into a single pressure score :
Values > 0 → net buying pressure
Values < 0 → net selling pressure
The raw score is smoothed with an EMA to reduce noise and create a cleaner oscillator line.
Divergence Detection
The indicator compares price pivots to pressure pivots:
Bullish divergence : price makes a lower low while pressure makes a higher low
Bearish divergence : price makes a higher high while pressure makes a lower high
These conditions can help highlight potential exhaustion or hidden participation from larger players.
Visual Elements
Histogram showing the intensity of buying/selling pressure
Color-coding for increasing vs. decreasing pressure
Background shading for detected absorption zones
Status table summarizing current pressure, trend bias, volume delta, wick signal, and absorption state in real time
How To Use
Use the pressure oscillator to gauge whether the current bar sequence is dominated by buyers or sellers. Strong positive readings may indicate sustained buying pressure; strong negatives may indicate sustained selling pressure.
Watch for divergences between price and the pressure oscillator around key levels, swings, or zones you already care about.
Use absorption zones and wick rejection signals as additional context around support/resistance, breakouts, or failed moves.
Treat all signals as context and confluence , not as stand-alone trade entries or exits. This tool is best used alongside your existing price action, volume, and risk management framework.
Important Notes & Limitations
This script does not access real bid/ask, footprint, or order book data . All volume delta and absorption interpretations are heuristic estimates derived from OHLCV candles.
Signals are probabilistic , not guarantees. They can be early, late, or outright wrong in fast or low-liquidity markets.
Always validate signals with your own analysis, timeframe alignment, and risk management. This indicator is intended as an analytical tool , not financial advice.
Filter Bar1. Indicator Name
Filter Bar
2. One-line Introduction
A trend-aware bar coloring system that visualizes market direction and strength through adaptive transparency based on regression scoring.
3. General Overview
Filter Bar+ is a minimalist but powerful trend visualization tool that colors chart bars according to market direction and momentum strength.
It analyzes the linear regression trend alignment over a specified lookback period and uses a pairwise comparison algorithm to determine whether the market is in a bullish, bearish, or neutral state.
The result is a "trend score" that gets normalized to reflect trend intensity (0~1).
Bar colors are then dynamically updated using the specified bullish or bearish base colors, where higher intensity results in more opaque (darker) bars, and weaker trends lead to lighter, faded tones.
If no strong trend is detected, bars are shown in gray, signaling indecision or neutrality.
The strength of this indicator lies in its simplicity—it doesn’t draw lines, waves, or shapes, but overlays insight directly onto the chart through smart color cues.
It’s particularly effective as a background filter for price action traders, scalpers, and anyone who prefers clean charts but still wants embedded directional context.
4. Key Advantages
🎨 Adaptive Bar Coloring
Bar color opacity increases with trend strength, offering instant visual confirmation without clutter.
📊 Quantified Trend Direction
Uses a regression-based scoring system to reliably detect uptrends, downtrends, or sideways markets.
⚖️ Customizable Sensitivity
Parameters like lookback period and tolerance percentage give users full control over signal responsiveness.
🧼 Clean Chart Presentation
No lines, shapes, or overlays—just color-coded bars that blend into your existing chart setup.
🚀 Lightweight & Fast
Minimal computational load ensures it works smoothly even on lower-end devices or multiple chart setups.
🔒 Secure Internal Logic
Algorithm is neatly encapsulated and optimized, with no critical logic exposed.
📘 Indicator User Guide
📌 Basic Concept
Filter Bar+ evaluates trend direction and strength using a pairwise comparison of linear regression values.
The result determines whether the market is bullish, bearish, or neutral, and adjusts bar colors accordingly.
It visually amplifies the current market state without drawing any indicators on the chart.
⚙️ Settings Explained
Lookback Period: Number of bars used to compare regression values
Range Tolerance (%): Minimum score required to label a trend as bullish or bearish
Regression Source: Data input used for regression (default: close)
Linear Regression Length: Period for generating the base regression line
Bull/Bear Base Colors: Choose colors to represent bullish or bearish bars
📈 Buy Timing Example
Bars are green (or user-set bullish color) and becoming more vivid
Indicates a strengthening bullish trend; helpful when used alongside breakout confirmation or support zones
📉 Sell Timing Example
Bars turn red (or your custom bearish color) with increasing opacity
Signals growing bearish pressure; acts as confirmation during short setups or breakdowns
🧪 Recommended Use Cases
Combine with volume, RSI, or price action setups for direction filtering
Ideal for clean chart strategies where visual simplicity is preferred
Use as a confirmation layer to reduce noise in sideways markets
🔒 Precautions
This is a visual filter, not a signal generator—use alongside other strategies for entries/exits
In choppy markets, bars may flicker between colors—adjust sensitivity as needed
Works best when you already have a directional thesis and want to validate it visually
Always test settings for your asset/timeframe before applying in live trades
Multi Timeframe Bollinger Bands Spectrum [Ata]Multi-Timeframe Bollinger Bands Spectrum
Technical Overview
This script integrates multi-timeframe volatility analysis with volume-derived order flow estimation. By combining Bollinger Bands (statistical deviation) with internal candle volume logic, the indicator qualifies price movements to differentiate between sustained trends, reversals, and exhaustion events.
The system is designed to provide a structural context for price action, visualizing market regimes through a dual-zone spectrum and filtering signals based on the interaction between price location and specific volume thresholds.
Core Logic & Calculation
1. Volume Decomposition Algorithm
Instead of using total volume, the script estimates Buying Pressure vs. Selling Pressure based on the close position relative to the candle's High/Low range:
- Buying Volume (vb): Increases as the close approaches the High.
- Selling Volume (vs): Increases as the close approaches the Low.
This logic allows the detection of directional flow even within standard volume bars.
2. Statistical Spectrum
The indicator renders deviations from the Basis (SMA) as two distinct zones:
- Bullish Zone (Blue): Price positioning between the Basis and Upper Band.
- Bearish Zone (Red): Price positioning between the Basis and Lower Band.
This structure is applied across multiple timeframes (overlay) to visualize the macro trend context without noise.
3. Non-Repainting Execution
To ensure historical accuracy and reliability for backtesting, all higher-timeframe data is requested using "lookahead_off". Signals are confirmed only upon the closure of the respective timeframe's candle.
Signal Definitions
Signals are generated only when specific Volatility and Volume conditions intersect:
Reversal Setups (Reaction to Liquidity)
- WALL: Triggered when price rejects the Upper Band accompanied by Extreme Selling Volume (vs > Limit). This suggests active limit sell orders absorbing the rally.
- FLOOR: Triggered when price rejects the Lower Band accompanied by Extreme Buying Volume (vb > Limit). This suggests active limit buy orders absorbing the drop.
- ABSORP: Identifies absorption near the lower bands where selling pressure is met with passive buying (indicated by lower wicks and relative buy volume).
Momentum Setups (Trend Continuation)
- POWER: Validates a breakout above the Upper Band only if supported by Dominant Buying Volume and a strong candle body.
- PANIC: Validates a breakdown below the Lower Band only if supported by Dominant Selling Volume.
- TRAP: Marks failed breakouts where price exits the bands but volume analysis contradicts the move (e.g., low directional volume).
Exhaustion Setups (Statistical Extremes)
- CLIMAX/CRASH: Identifies anomalies where price deviates significantly from the mean (Extreme Deviation) or when volume reaches unsustainable levels relative to the average, often preceding a mean reversion.
Input Parameters
- Bollinger Logic: Configuration for Length and Standard Deviation Multiplier.
- Volume Thresholds: Adjustable factors for Minimum Volume (Trend) and Extreme Volume (Reversal/Climax).
- Timeframe Layers: Toggle visibility for up to 5 higher timeframes.
- Theme: Adjusts label contrast for Dark/Light backgrounds.
Disclaimer
This indicator is strictly for analytical purposes. It provides a visualization of past market data based on statistical and volumetric formulas. Users should apply their own risk management protocols.
Smart Money Volume Matrix [Ata]Smart Money Volume Matrix
The Smart Money Volume Matrix (SMV Matrix) is an advanced volume-spread analysis (VSA) dashboard and charting tool designed to identify significant market anomalies by analyzing the relationship between price extremes and volume flow.
Unlike traditional indicators that rely solely on moving averages or oscillators, this tool performs a "Snapshot Analysis" of a defined lookback period (default: 100 bars) to rank price action based on Order Flow Dominance. It isolates the Top 10 Highest and Lowest Close prices and scrutinizes the volume behind them to categorize market sentiment into four distinct phases: Distribution, No Demand, Absorption, and Exhaustion.
Core Logic & Methodology
The script operates on a Zero-Lag Snapshot Engine. It does not print historical signals bar-by-bar; instead, it evaluates the current market structure relative to the recent history (Lookback Period).
1. Ranking Engine: The script scans the lookback period to find the Top 10 Highest Closes and Top 10 Lowest Closes.
2. Volume Classification: For each ranked bar, it calculates the "Intrabar Buy/Sell Volume" (or approximates it using candle geometry if Intrabar data is unavailable).
3. Dominance Detection: It compares Buying Volume vs. Selling Volume to determine who is in control at critical price levels.
Signal Classifications (VSA Logic)
The indicator generates labels on the chart and updates the dashboard table based on the following logic:
1. At Price Tops (Resistance Areas):
- Distribution (Supply): High Price + High Total Volume + Sellers Dominant.
Interpretation: Indicates heavy institutional selling into rising prices. Often precedes a reversal.
- Buy Climax: High Price + High Total Volume + Buyers Dominant.
Interpretation: Extreme buying frenzy. While bullish, it often marks a "trap" or temporary top due to exhaustion.
- No Demand: High Price + Low Volume.
Interpretation: Prices drifted higher but lack institutional participation. A sign of weakness.
2. At Price Bottoms (Support Areas):
- Absorption: Low Price + High Total Volume + Buyers Dominant.
Interpretation: Institutional money is absorbing selling pressure (passive buying). A strong sign of accumulation.
- Panic Sell: Low Price + High Total Volume + Sellers Dominant.
Interpretation: Extreme fear. High volume at lows typically indicates capitulation and potential hands-changing.
- Exhaustion: Low Price + Low Volume.
Interpretation: Selling pressure has dried up. The market may float upward due to lack of sellers.
Key Features
- Dashboard Matrix Table:
Displays the exact Close Price, Buy/Sell Volume, and Market State (Group) for the Top 10 ranking bars.
Smart Footer: Automatically detects the active "Resistance Zone" (derived from G1 Distribution levels) and "Support Zone" (derived from G3 Absorption levels) and reports the current price status relative to these zones (e.g., "Testing Resistance", "Breakout", "At Support").
- Smart Zones (Auto S/R):
Automatically draws Support and Resistance boxes extending into the future based on the most significant volume clusters found in the rankings. Includes logic to detect "Flips" (e.g., when Support breaks, it is labeled as a flip to Resistance).
- Average Trend Channels:
Calculates a Linear Regression trend line based specifically on the coordinates of the Top 10 Highs and Top 10 Lows, providing a "Best Fit" channel for the current market structure.
- Visual Clarity:
Labels utilize a "Smart Stacking" algorithm to prevent overlap on the chart. Guide lines connect labels to their respective candles for precise identification.
Settings & Configuration
- Matrix Settings: Lookback Period (default 100 bars) and Top Rank Count.
- Volume Engine: Choose between "Intrabar (Precise)" for accurate order flow or "Geometry (Approx)" for standard volume estimation.
- Visuals: Toggle Table, Labels, Lines, Zones, and Trend Lines. Adjust transparency and font sizes.
IMPORTANT NOTE ON SNAPSHOT LOGIC
This indicator is designed as a Real-Time Dashboard. It continuously updates the "Top 10" list as new candles form. Therefore, a label that appears on a candle may disappear if that candle falls out of the Top 10 ranking or leaves the lookback window. This is intended behavior to ensure the chart always reflects the current most critical levels, rather than a historical record of past signals. It is best used for live market analysis rather than historical back testing.
Disclaimer: This tool is for educational and analytical purposes only. Volume analysis is subjective and should be used in conjunction with other methods of technical analysis.
Liquidity Void Zone Detector [PhenLabs]📊 Liquidity Void Zone Detector
Version: PineScript™v6
📌 Description
The Liquidity Void Zone Detector is a sophisticated technical indicator designed to identify and visualize areas where price moved with abnormally low volume or rapid momentum, creating "voids" in market liquidity. These zones represent areas where insufficient trading activity occurred during price movement, often acting as magnets for future price action as the market seeks to fill these gaps.
Built on PineScript v6, this indicator employs a dual-detection methodology that analyzes both volume depletion patterns and price movement intensity relative to ATR. The revolutionary 3D visualization system uses three-layer polyline rendering with adaptive transparency and vertical offsets, creating genuine depth perception where low liquidity zones visually recede and high liquidity zones protrude forward. This makes critical market structure immediately apparent without cluttering your chart.
🚀 Points of Innovation
Dual detection algorithm combining volume threshold analysis and ATR-normalized price movement sensitivity for comprehensive void identification
Three-layer 3D visualization system with progressive transparency gradients (85%, 78%, 70%) and calculated vertical offsets for authentic depth perception
Intelligent state machine logic that tracks consecutive void bars and only renders zones meeting minimum qualification requirements
Dynamic strength scoring system (0-100 scale) that combines inverted volume ratios with movement intensity for accurate void characterization
Adaptive ATR-based spacing calculation that automatically adjusts 3D layering depth to match instrument volatility
Efficient memory management system supporting up to 100 simultaneous void visualizations with automatic array-based cleanup
🔧 Core Components
Volume Analysis Engine: Calculates rolling volume averages and compares current bar volume against dynamic thresholds to detect abnormally thin trading conditions
Price Movement Analyzer: Normalizes bar range against ATR to identify rapid price movements that indicate liquidity exhaustion regardless of instrument or timeframe
Void Tracking State Machine: Maintains persistent tracking of void start bars, price boundaries, consecutive bar counts, and cumulative strength across multiple bars
3D Polyline Renderer: Generates three-layer rectangular polylines with precise timestamp-to-bar index conversion and progressive offset calculations
Strength Calculation System: Combines volume component (inverted ratio capped at 100) with movement component (ATR intensity × 30) for comprehensive void scoring
🔥 Key Features
Automatic Void Detection: Continuously scans price action for low volume conditions or rapid movements, triggering void tracking when thresholds are exceeded
Real-Time Visualization: Creates 3D rectangular zones spanning from void initiation to termination, with color-coded depth indicating liquidity type
Adjustable Sensitivity: Configure volume threshold multiplier (0.1-2.0x), price movement sensitivity (0.5-5.0x), and minimum qualifying bars (1-10) for customized detection
Dual Color Coding: Separate visual treatment for low liquidity voids (receding red) and high liquidity zones (protruding green) based on 50-point strength threshold
Optional Compact Labels: Toggle LV (Low Volume) or HV (High Volume) circular labels at void centers for quick identification without visual clutter
Lookback Period Control: Adjust analysis window from 5 to 100 bars to match your trading timeframe and market volatility characteristics
Memory-Efficient Design: Automatically manages polyline and label arrays, deleting oldest elements when user-defined maximum is reached
Data Window Integration: Plots void detection binary, current strength score, and average volume for detailed analysis in TradingView's data window
🎨 Visualization
Three-Layer Depth System: Each void is rendered as three stacked polylines with progressive transparency (85%, 78%, 70%) and calculated vertical offsets creating authentic 3D appearance
Directional Depth Perception: Low liquidity zones recede with back layer most transparent; high liquidity zones protrude with front layer most transparent for instant visual differentiation
Adaptive Offset Spacing: Vertical separation between layers calculated as ATR(14) × 0.001, ensuring consistent 3D effect across different instruments and volatility regimes
Color Customization: Fully configurable base colors for both low liquidity zones (default: red with 80 transparency) and high liquidity zones (default: green with 80 transparency)
Minimal Chart Clutter: Closed polylines with matching line and fill colors create clean rectangular zones without unnecessary borders or visual noise
Background Highlight: Subtle yellow background (96% transparency) marks bars where void conditions are actively detected in real-time
Compact Labeling: Optional tiny circular labels with 60% transparent backgrounds positioned at void center points for quick reference
📖 Usage Guidelines
Detection Settings
Lookback Period: Default: 10 | Range: 5-100 | Number of bars analyzed for volume averaging and void detection. Lower values increase sensitivity to recent changes; higher values smooth detection across longer timeframes. Adjust based on your trading timeframe: short-term traders use 5-15, swing traders use 20-50, position traders use 50-100.
Volume Threshold: Default: 1.0 | Range: 0.1-2.0 (step 0.1) | Multiplier applied to average volume. Bars with volume below (average × threshold) trigger void conditions. Lower values detect only extreme volume depletion; higher values capture more moderate low-volume situations. Start with 1.0 and decrease to 0.5-0.7 for stricter detection.
Price Movement Sensitivity: Default: 1.5 | Range: 0.5-5.0 (step 0.1) | Multiplier for ATR-normalized price movement detection. Values above this threshold indicate rapid price changes suggesting liquidity voids. Increase to 2.0-3.0 for volatile instruments; decrease to 0.8-1.2 for ranging or low-volatility conditions.
Minimum Void Bars: Default: 10 | Range: 1-10 | Minimum consecutive bars exhibiting void conditions required before visualization is created. Filters out brief anomalies and ensures only sustained voids are displayed. Use 1-3 for scalping, 5-10 for intraday trading, 10+ for swing trading to match your time horizon.
Visual Settings
Low Liquidity Color: Default: Red (80% transparent) | Base color for zones where volume depletion or rapid movement indicates thin liquidity. These zones recede visually (back layer most transparent). Choose colors that contrast with your chart theme for optimal visibility.
High Liquidity Color: Default: Green (80% transparent) | Base color for zones with relatively higher liquidity compared to void threshold. These zones protrude visually (front layer most transparent). Ensure clear differentiation from low liquidity color.
Show Void Labels: Default: True | Toggle display of compact LV/HV labels at void centers. Disable for cleaner charts when trading; enable for analysis and review to quickly identify void types across your chart.
Max Visible Voids: Default: 50 | Range: 10-100 | Maximum number of void visualizations kept on chart. Each void uses 3 polylines, so setting of 50 maintains 150 total polylines. Higher values preserve more history but may impact performance on lower-end systems.
✅ Best Use Cases
Gap Fill Trading: Identify unfilled liquidity voids that price frequently returns to, providing high-probability retest and reversal opportunities when price approaches these zones
Breakout Validation: Distinguish genuine breakouts through established liquidity from false breaks into void zones that lack sustainable volume support
Support/Resistance Confluence: Layer void detection over key horizontal levels to validate structural integrity—levels within high liquidity zones are stronger than those in voids
Trend Continuation: Monitor for new void formation in trend direction as potential continuation zones where price may accelerate due to reduced resistance
Range Trading: Identify void zones within consolidation ranges that price tends to traverse quickly, helping to avoid getting caught in rapid moves through thin areas
Entry Timing: Wait for price to reach void boundaries rather than entering mid-void, as voids tend to be traversed quickly with limited profit-taking opportunities
⚠️ Limitations
Historical Pattern Indicator: Identifies past liquidity voids but cannot predict whether price will return to fill them or when filling might occur
No Volume on Forex: Indicator uses tick volume for forex pairs, which approximates but doesn't represent true trading volume, potentially affecting detection accuracy
Lagging Confirmation: Requires minimum consecutive bars (default 10) before void is visualized, meaning detection occurs after void formation begins
Trending Market Behavior: Strong trends driven by fundamental catalysts may create voids that remain unfilled for extended periods or permanently
Timeframe Dependency: Detection sensitivity varies significantly across timeframes; settings optimized for one timeframe may not perform well on others
No Directional Bias: Indicator identifies liquidity characteristics but provides no predictive signal for price direction after void detection
Performance Considerations: Higher max visible void settings combined with small minimum void bars can generate numerous visualizations impacting chart rendering speed
💡 What Makes This Unique
Industry-First 3D Visualization: Unlike flat volume or liquidity indicators, the three-layer rendering with directional depth perception provides instant visual hierarchy of liquidity quality
Dual-Mode Detection: Combines both volume-based and movement-based detection methodologies, capturing voids that single-approach indicators miss
Intelligent Qualification System: State machine logic prevents premature visualization by requiring sustained void conditions, reducing false signals and chart clutter
ATR-Normalized Analysis: All detection thresholds adapt to instrument volatility, ensuring consistent performance across stocks, forex, crypto, and futures without constant recalibration
Transparency-Based Depth: Uses progressive transparency gradients rather than colors or patterns to create depth, maintaining visual clarity while conveying information hierarchy
Comprehensive Strength Metrics: 0-100 void strength calculation considers both the degree of volume depletion and the magnitude of price movement for nuanced zone characterization
🔬 How It Works
Phase 1: Real-Time Detection
On each bar close, the indicator calculates average volume over the lookback period and compares current bar volume against the volume threshold multiplier
Simultaneously measures current bar's high-low range and normalizes it against ATR, comparing the result to price movement sensitivity parameter
If either volume falls below threshold OR movement exceeds sensitivity threshold, the bar is flagged as exhibiting void characteristics
Phase 2: Void Tracking & Qualification
When void conditions first appear, state machine initializes tracking variables: start bar index, initial top/bottom prices, consecutive bar counter, and cumulative strength accumulator
Each subsequent bar with void conditions extends the tracking, updating price boundaries to envelope all bars and accumulating strength scores
When void conditions cease, system checks if consecutive bar count meets minimum threshold; if yes, proceeds to visualization; if no, discards the tracking and resets
Phase 3: 3D Visualization Construction
Calculates average void strength by dividing cumulative strength by number of bars, then determines if void is low liquidity (>50 strength) or high liquidity (≤50 strength)
Generates three polyline layers spanning from start bar to end bar and from top price to bottom price, each with calculated vertical offset based on ATR
Applies progressive transparency (85%, 78%, 70%) with layer ordering creating recession effect for low liquidity zones and protrusion effect for high liquidity zones
Creates optional center label and pushes all visual elements into arrays for memory management
Phase 4: Memory Management & Display
Continuously monitors polyline array size (each void creates 3 polylines); when total exceeds max visible voids × 3, deletes oldest polylines via array.shift()
Similarly manages label array, removing oldest labels when count exceeds maximum to prevent memory accumulation over extended chart history
Plots diagnostic data to TradingView’s data window (void detection binary, current strength, average volume) for detailed analysis without cluttering main chart
💡 Note:
This indicator is designed to enhance your market structure analysis by revealing liquidity characteristics that aren’t visible through standard price and volume displays. For best results, combine void detection with your existing support/resistance analysis, trend identification, and risk management framework. Liquidity voids are descriptive of past market behavior and should inform positioning decisions rather than serve as standalone entry/exit signals. Experiment with detection parameters across different timeframes to find settings that align with your trading style and instrument characteristics.
Aggregated Open InterestAggregates Open Interest data across 10 major crypto exchanges: Binance, Bybit, Kraken, MEXC, Bitget, BingX, Coinbase, Deribit, HTX, and Crypto.com.
Displays total market OI with candlesticks on intraday timeframes and a step line on daily+ timeframes. Color-coded: teal for increasing OI, red for decreasing OI.
Toggle individual exchanges on/off in settings to customize your view.
With this indicator there is no need to be on the perpetual chart of the asset for the open interest to be displayed.
Volume Dynamics Pro [ChartNation]Volume Dynamics Pro by ChartNation is an advanced volume profile indicator that visualizes volume distribution across price levels using a proprietary mirrored butterfly design. The indicator identifies high-volume nodes (areas of significant trading activity) and the Point of Control (POC) - the price level with the highest traded volume within the lookback period.
KEY FEATURES:
Dynamic Volume Profile: Displays volume distribution across 25 price bins with a mirrored butterfly visualization that extends into future bars for forward-looking analysis
Point of Control (POC): Automatically identifies and highlights the price level with maximum volume, featuring a pulsing animation and optional price label with customizable positioning
Multiple Anchoring Modes: Choose between Rolling, Daily, Weekly, Monthly, or Session-based profile calculations to match your trading timeframe
Smart Range Calculation: Three range modes (Fixed Lookback, Hybrid Smart, Percentage-Based) automatically adjust the volume profile range based on recent price action
Volume-Responsive Visualization: Line thickness and glow intensity scale with volume magnitude, making high-volume areas immediately visible
Premium Statistics Box: Real-time display of POC price, total volume, range metrics, and price position relative to POC
Advanced Alert System: Configurable alerts for POC crosses, range breakouts, high-volume zone entries, and volume spikes
Professional Styling: Volume-based line styles (solid/dashed/dotted), gradient bias coloring (support/resistance), dual-tone depth borders, and customizable glow effects
HOW IT WORKS:
The indicator divides the price range into 25 bins and calculates total volume traded at each level. The mirrored butterfly profile displays this distribution, with wider sections indicating higher volume. The POC line marks the price with maximum activity - a critical level often acting as support or resistance.
Volume traces are color-coded: green tint below current price (potential support), red tint above (potential resistance). The intensity of coloring increases as price approaches each level, helping traders identify nearby high-volume zones.
USE CASES:
Identify institutional order flow and accumulation/distribution zones
Locate high-probability support and resistance levels based on actual trading activity
Track POC shifts to understand changing market structure
Confirm breakout validity by analyzing volume at key price levels
Optimize entry/exit points around high-volume nodes
SETTINGS OVERVIEW:
The indicator offers extensive customization across multiple groups: POC styling and extensions, statistics box display, profile anchoring, range calculation modes, alert configuration, line styles, volume-proportional thickness, gradient bias, glow system, depth borders, POC pulse animation, and volume profile display parameters.
Scalping Dashboard - Volume Candles + Liquidity ZonesScalping Dashboard - Volume Candles + Liquidity Zones
📊 Overview
A comprehensive scalping indicator designed for high-frequency traders on 1-5 minute timeframes. This all-in-one dashboard combines volume analysis, order flow metrics, technical indicators, and institutional liquidity zones to identify high-probability scalping opportunities.
🎯 Key Features
✅ Multi-Timeframe Analysis
Fast MACD (5/13/5) for momentum
Quick EMAs (9/20/50) for trend direction
Rapid Stochastic (5/3/3) for oversold/overbought conditions
Fast RSI (7) for extreme readings
✅ Advanced Order Flow Metrics
CVD (Cumulative Volume Delta): Tracks buy vs sell pressure over time
Delta Momentum: Measures acceleration in buying/selling
Buy/Sell Pressure Ratio: Real-time balance of market forces
Order Flow Imbalance: Detects aggressive buying or selling
Tape Speed: Measures how fast volume is hitting the market
✅ Institutional Liquidity Zones
Buy-Side Liquidity: Areas above price where short stop losses cluster
Sell-Side Liquidity: Areas below price where long stop losses cluster
Liquidity Sweeps: Detects "stop hunts" by institutions before reversals
✅ Volume-Based Candle Coloring
Visual representation of volume intensity
Extreme, High, Normal, and Low volume categories
Fully customizable color schemes
✅ Dynamic Support/Resistance
Volume-weighted price levels
Automatically updates every 3 bars
Shows distance to key levels
📈 Dashboard Indicators Explained
The bottom-left dashboard displays 14 real-time metrics:
▸ MACD (●)
Green = Bullish momentum
Red = Bearish momentum
Gray = Neutral
▸ Supp (Price)
Support level
Green highlight = at support (good for long entry)
▸ Res (Price)
Resistance level
Orange highlight = at resistance (good for short entry)
▸ EMA (●)
Green = Price above EMAs (bullish)
Red = Price below EMAs (bearish)
▸ Stoch (●)
Green = Oversold (<20)
Red = Overbought (>80)
Gray = Neutral
▸ RSI (●)
Green = Oversold (<30)
Red = Overbought (>70)
Gray = Neutral
▸ CVD (●)
Green = Cumulative buying pressure
Red = Cumulative selling pressure
▸ ΔCVD (●)
Green = Increasing buy pressure
Red = Increasing sell pressure
▸ Imbal (●)
Green = Buy imbalance (>2:1 ratio)
Red = Sell imbalance
▸ Vol (●)
Green/Yellow background = Volume surge (>2x average)
▸ Tape (●)
Green/Yellow background = Fast tape (>1.5x speed)
▸ Liq (↑↓●)
↑ = Bullish sweep or near sell-side liquidity
↓ = Bearish sweep or near buy-side liquidity
● = Neutral
▸ Score (#L or #S)
Quality score (0-8) for Long or Short setups
Higher numbers = Better quality trade
▸ SCALP (LONG/SHORT/WAIT)
Primary signal
Bright color = High quality (score ≥5)
Dim color = Decent quality (score =4)
Gray = Wait for better setup
🎨 Candle Color System
Volume-Based Colors
Bright Green/Red: Extreme volume (>2.5x average) - Major moves
Medium Green/Red: High volume (>1.5x average) - Strong activity
Dull Green/Red: Normal volume - Standard market activity
Gray: Low volume (<0.5x average) - Avoid trading
Signal-Based Colors
Lime: Strong Long signal (score ≥5)
Green: Decent Long signal (score =4)
Orange: Strong Short signal (score ≥5)
Red: Decent Short signal (score =4)
Candle Color Modes (adjustable in settings):
Volume Only: Pure volume intensity
Volume + Signals: Signals override volume when present (default)
Signals Only: Only shows entry signals
🔵 Chart Indicators
Support & Resistance Lines
Green Line: Volume-weighted support level
Red Line: Volume-weighted resistance level
Lines update dynamically based on 100-bar volume profile
Liquidity Zones
Cyan Circles/Dashed Lines: Buy-side liquidity (above price)
Where short stop losses cluster
Potential targets for bullish moves
Institutions may push price here before reversing down
Magenta Circles/Dashed Lines: Sell-side liquidity (below price)
Where long stop losses cluster
Potential targets for bearish moves
Institutions may push price here before reversing up
Entry Markers
Large Green Triangle (▲): High quality long entry (score ≥5)
Small Green Triangle (▲): Decent long entry (score =4)
Large Orange Triangle (▼): High quality short entry (score ≥5)
Small Red Triangle (▼): Decent short entry (score =4)
Liquidity Sweep Markers
Cyan X-Cross (below bar): Bullish liquidity sweep - "LIQ↑"
Price swept sell-side liquidity and reversed up
Strong buy signal
Magenta X-Cross (above bar): Bearish liquidity sweep - "LIQ↓"
Price swept buy-side liquidity and reversed down
Strong sell signal
🎯 How to Use This Indicator
For Long Scalps (Buy):
Wait for Dashboard Signal: SCALP = "LONG" with score ≥5
Confirm Multiple Green Dots: Look for EMA, CVD, ΔCVD, Imbal all green
Check Volume: Vol or Tape should show yellow background (surge)
Look for Confluence:
Price at or near Support level (green highlight)
Price near Sell-Side Liquidity (magenta line below)
RSI oversold (green dot)
Large green triangle appears on chart
Best Entry: On a bullish liquidity sweep (cyan X-cross)
For Short Scalps (Sell):
Wait for Dashboard Signal: SCALP = "SHORT" with score ≥5
Confirm Multiple Red Dots: Look for EMA, CVD, ΔCVD, Imbal all red
Check Volume: Vol or Tape should show yellow background (surge)
Look for Confluence:
Price at or near Resistance level (orange highlight)
Price near Buy-Side Liquidity (cyan line above)
RSI overbought (red dot)
Large orange triangle appears on chart
Best Entry: On a bearish liquidity sweep (magenta X-cross)
Three Types of Scalping Setups:
1. Quick Scalp (Fastest - 1-5 minute holds)
MACD or Stochastic crossover + Volume surge
At Support/Resistance level
Score ≥4
2. Momentum Scalp (Ride the wave - 5-15 minute holds)
Strong EMA alignment + CVD slope positive
Order flow imbalance + Fast tape
Volume surge with price structure
Score ≥5
3. Reversal Scalp (Fade extremes - 3-10 minute holds)
Stochastic + RSI extreme readings
At Support/Resistance OR liquidity sweep
CVD momentum reversal
Score ≥6
⚙️ Recommended Settings
Timeframes
Primary: 1-minute, 2-minute, 5-minute
Confirmation: Use 15-minute chart for overall trend direction
Asset Types
Forex pairs (high liquidity)
Crypto (BTC, ETH with high volume)
Futures (ES, NQ)
Major stocks during market hours
Risk Management
Target: 1-3 times your stop loss
Stop Loss: Below nearest liquidity zone for longs, above for shorts
Position Size: Never risk more than 1% per trade
Score ≥5: Take full position size
Score =4: Take half position size or skip
🔧 Customization Options
Input Groups
MACD Settings
Fast Length: 5 (scalping optimized)
Slow Length: 13
Signal Length: 5
EMA Settings
EMA 9, 20, 50 (fast scalping EMAs)
Stochastic Settings
%K Length: 5
%D Smoothing: 3
Smooth: 3
CVD Settings
MA Length: 10 (for CVD smoothing)
RSI Settings
Length: 7 (fast RSI)
Overbought: 70
Oversold: 30
Volume Settings
MA Length: 10
Extreme Multiplier: 2.5x
High Multiplier: 1.5x
Low Multiplier: 0.5x
Liquidity Zone Settings
Lookback Periods: 20
Swing Strength: 3
Show Liquidity Zones: On/Off
Show Liquidity Sweeps: On/Off
Support/Resistance Settings
Volume Lookback: 100 bars (~2 hours on 1-min chart)
Order Flow Settings
Imbalance Threshold: 2.0 (2:1 ratio)
Color Customization
All volume colors customizable
All signal colors customizable
All liquidity colors customizable
📊 Volume Legend (Top Right)
The small table in the top-right corner shows the volume intensity key:
Extreme: >2.5x average volume
High: >1.5x average volume
Normal: 0.5x to 1.5x average volume
Low: <0.5x average volume
🔔 Built-in Alerts
Set up these alerts to never miss a trade:
High Quality Long Scalp: Triggers when entry_long and score ≥5
High Quality Short Scalp: Triggers when entry_short and score ≥5
Bullish Liquidity Sweep: Triggers when sell-side liquidity is swept
Bearish Liquidity Sweep: Triggers when buy-side liquidity is swept
To set up: Right-click chart → Add Alert → Select condition → Create
💡 Pro Tips
Understanding Liquidity Zones
Buy-Side Liquidity = Where shorts have their stops = Price tends to wick up here
Sell-Side Liquidity = Where longs have their stops = Price tends to wick down here
Liquidity Sweep = Institution triggers stops, absorbs liquidity, then reverses
Best trades = Enter AFTER the sweep when price reverses back
Reading the Dashboard
All Green Dots + Yellow Volume = Strong Long Setup
All Red Dots + Yellow Volume = Strong Short Setup
Mixed Colors = Choppy/Neutral = Wait
Score 6+ = Highest probability trades
Score 3 or less = Avoid
Confluence is Key
Never trade on a single indicator. Wait for:
Dashboard score ≥5
Volume surge (yellow background)
At support/resistance OR liquidity zone
CVD and momentum aligned
Price structure confirmation (triangle marker)
Avoid These Situations
❌ Low volume periods (gray candles)
❌ Dashboard shows "WAIT"
❌ Score below 4
❌ No volume surge during entry
❌ Trading against higher timeframe trend
Best Trading Sessions
Forex: London open (3-5 AM EST), NY open (8-10 AM EST)
Crypto: Works 24/7, best during high volume periods
Stocks: First hour (9:30-10:30 AM EST), last hour (3-4 PM EST)
Futures: US session open (9:30 AM EST)
🎓 Understanding the Scoring System
The indicator calculates a quality score (0-8) for both long and short setups:
+1 point for each:
EMA bias aligned (price above/below EMA structure)
CVD momentum bias aligned (buying/selling pressure)
Buy/Sell pressure ratio aligned (>1.5x or <0.67x)
Volume strength (surge detected)
Order flow imbalance (>2:1 ratio)
Tape speed (>1.3x average)
Price structure (higher highs or lower lows)
Liquidity bias (sweep detected)
Score Interpretation:
7-8: Extremely high probability (rare, take immediately)
6: Very high probability (excellent trade)
5: High probability (good trade)
4: Decent probability (acceptable with tight stop)
3 or less: Low probability (wait for better setup)
📋 Quick Reference Card
Entry Checklist
Dashboard shows LONG or SHORT
Score is ≥5
Multiple indicators aligned (green or red dots)
Volume surge present (yellow background)
At support/resistance or liquidity zone
Triangle marker appeared on chart
Risk:Reward ratio is at least 1:2
Exit Strategy
Take Profit: At opposite liquidity zone or resistance/support
Stop Loss: Below sell-side liquidity (longs) or above buy-side liquidity (shorts)
Trail Stop: Move to breakeven after 1:1 risk:reward achieved
⚠️ Important Notes
This is NOT a holy grail: No indicator is 100% accurate. Always use proper risk management.
Backtest first: Paper trade or backtest on your specific instrument before using real money.
Market conditions matter: This indicator works best in trending or volatile markets, not in tight consolidation.
Combine with price action: Use the indicator as confluence with your own price action reading.
Adjust for your instrument: Different assets may require tweaking the sensitivity settings.
Lower timeframes = More noise: 1-minute charts have more false signals than 5-minute charts.
🔄 Version History
v1.0 - Initial release
Multi-indicator dashboard
Volume-based candle coloring
Support/Resistance detection
Entry signal generation
v2.0 - Current version
Added liquidity zone detection
Added liquidity sweep identification
Enhanced scoring system (now 0-8)
Added liquidity bias to entries
New alerts for liquidity sweeps
Improved dashboard with Liq indicator
📞 Support & Feedback
If you find this indicator helpful, please:
⭐ Give it a boost
💬 Share your results in the comments
🐛 Report any bugs or issues
💡 Suggest improvements
Disclaimer: This indicator is for educational purposes only. Trading involves significant risk. Past performance does not guarantee future results. Always trade responsibly and never risk more than you can afford to lose.
🏆 Credits
Created for serious scalpers who want institutional-level insights on retail charts. Combines order flow analysis, volume profiling, and liquidity mapping into one comprehensive tool.
Happy Scalping! 🚀📈
Dynamic FVG & Trap Zones📘 Dynamic FVG & Trap Zones (DFTZ)
A Hybrid Model Combining Imbalance Mapping, Volume Behavior, and Trap Detection
Concept Overview
“Dynamic FVG & Trap Zones” is built to visualize real-time Fair Value Gaps (FVGs) and identify liquidity trap events inside those gaps using adaptive volume filters and wick-based logic.
Traditional FVG indicators merely mark imbalance zones between consecutive candles, but this model goes further — it measures how volume reaction and price penetration inside those zones reveal potential f alse moves or trap formations by smart money.
⚙️ How It Works
1. FVG Detection
• A Bullish FVG is detected when low > high , showing a price void left by aggressive buying.
• A Bearish FVG forms when high < low , implying a selling imbalance.
• These zones are automatically drawn as semi-transparent boxes that extend forward for 10 bars and decay once they exceed the configurable lookback window.
2. Volume Normalization & Grading
• Every bar’s volume is compared against a dynamic SMA( volLookback ) average to calculate a Volume Grade = current vol / avg vol.
• Only bars exceeding the Min Volume Grade threshold are eligible to generate valid FVG zones, ensuring that low-participation moves are ignored.
• The Trap Volume Threshold sets how quiet the reaction bar must be (relative to average volume) to qualify as a trap event.
3. Trap Detection Logic
• Each active FVG zone monitors incoming candles.
• A potential trap is triggered when price re-enters the zone (body or wick depending on settings) but fails to expand with confirming volume.
• If the event occurs inside a Bullish FVG, it marks a Bear Trap (green zone turned red).
If it happens inside a Bearish FVG, it flags a Bull Trap (red zone turned green).
• This reversal in zone color visually conveys trapped liquidity and potential directional fade.
4. Exclusivity and Cooldown Control
• To avoid signal clustering, you can choose exclusivity modes:
Allow Both, Bear over Bull, or Bull over Bear.
• A built-in per-signal cooldown timer prevents back-to-back plots of the same type, enhancing signal clarity during rapid price action.
5. Adaptive Visualization
• Wick-based vs body-based trap detection (toggleable).
• Optional cooldown filtering on shapes ensures the chart only displays validated events.
• Old FVG boxes are pruned automatically beyond the chosen lookback horizon.
🧠 Why It’s Different
Unlike static FVG detectors or simple liquidity sweep tools, DFTZ blends:
• Volume context (Smart Volume Grade filtering)
• Behavioral trap detection within imbalance zones
• Dynamic cooldown mechanics that control over-signaling
• Forward-propagating zones that self-expire gracefully
This synergy makes it a compact yet powerful tool for visualizing imbalances + liquidity traps in one framework — ideal for discretionary traders combining SMC concepts with volume analytics.
📈 How to Use
• Primary Context: Use on 15 min to 1 h charts to spot active FVG zones forming after impulsive moves.
• Trap Signal Interpretation:
• 🔴 “Trap” below bar → Bullish reversal (Bear Trap).
• 🟢 “Trap” above bar → Bearish reversal (Bull Trap).
• Combine With: Market structure breaks, VWAP, or delta volume tools to confirm true reversal intent.
• Alerts: All major events (FVG creation & trap confirmation) trigger ready-to-use alerts for automation or back-testing.
🧩 Customization
Setting Function
Max FVG Lookback Controls how long old zones remain active.
Volume SMA Period Defines the baseline for volume grading.
Min Volume Grade & Trap Volume Threshold Tune the sensitivity of trap confirmation.
Wick-Based Trap Detection Enable to capture wick rejections inside zones.
Signal Cooldown Prevents rapid multiple plots on successive bars.
⚠️ Disclaimer
This tool is designed for educational and analytical purposes only. It does not constitute financial advice or guarantee trading performance. Always conduct your own analysis and risk management before entering a position.
Pivot Orderflow DeltaThis indicator analyzes order flow by calculating a continuous Cumulative Volume Profile Delta (CVPD). It plots this delta as a series of "delta candles" and identifies divergences and structural pivot levels.
Key Features:
Statistical Delta Engine: For each bar, the indicator builds a high-resolution volume profile on a lower 'Intra-Bar Timeframe'. It uses statistical models ('PDF' allocation) and advanced classifiers ('Dynamic' split) to determine the buy/sell pressure, which is then accumulated.
Cumulative Delta Candle Visualization: The indicator plots the continuous, accumulated delta as a series of candles, where for each bar:
Open: Is the cumulative delta value of the previous bar.
Close: Is the new total cumulative delta.
High/Low: Represent the peak/trough cumulative delta reached during that bar's formation.
Dynamic Pivot Baseline: The indicator plots a separate dynamic baseline ('Impulse Start') that adjusts when a new price pivot is confirmed.
When a price high forms, the baseline moves to the lower of its previous level or the peak delta (max of delta candle O/C) at the pivot.
When a price low forms, the baseline moves to the higher of its previous level or the trough delta (min of delta candle O/C) at the pivot.
Full Divergence Suite (Class A, B, C): A built-in divergence engine automatically detects and plots Regular (A), Hidden (B), and Exaggerated (C) divergences between price and the peak/trough of the delta candles (High/Low).
Detailed Pivot Confluence: The indicator plots distinct markers to differentiate between pivots occurring only on the price chart, only on the delta oscillator, or on both simultaneously.
Note on Confirmation (Lag): Divergence and pivot signals rely on a confirmation method. A pivot is only plotted after the Pivot Right Bars input has passed, which introduces an inherent lag.
Integrated Alerts: Includes 23 comprehensive alerts for:
The start and end of all 6 divergence types.
The detection of a new Impulse Start pivot.
Delta/volume agreement/disagreement.
Delta crossing the zero line.
The formation of price-only or delta-only pivots.
Caution: Real-Time Data Behavior (Intra-Bar Repainting) This indicator uses high-resolution intra-bar data. As a result, the values on the current, unclosed bar (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final after the main chart bar has closed.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Market Order BubblesMarket Order Bubbles is a streamlined, volume-driven overlay indicator designed to spotlight sudden spikes in trading activity, highlighting potential shifts in market momentum.
By detecting deviations in volume from its recent average, it plots intuitive bubble markers to reveal aggressive order flows—ideal for traders seeking early warnings of exhaustion or reversal setups in fast-moving markets.
What makes this indicator different
This indicator draws inspiration from established volume analysis tools but stands out with a refined, lightweight approach. Unlike more complex models that layer multiple filters or emulate cumulative metrics, it leverages a weighted moving average (WMA) of volume paired with statistical deviation for a direct, responsive measure of "surge intensity."
This results in cleaner signals with less noise, making it particularly suited for intraday scalpers or swing traders who value simplicity without sacrificing depth. The focus on excess volume relative to a dynamic baseline ensures bubbles only emerge during truly anomalous activity, setting it apart from generic volume oscillators or basic footprint indicators that often flood charts with irrelevant data.
Core Mechanics
At its heart, the indicator computes a smoothed volume baseline using a WMA over a user-defined period, then applies a volatility-adjusted threshold derived from the standard deviation of that same period. A "surge" triggers when actual volume exceeds this baseline plus the threshold, with the excess amount determining bubble size. Price direction (bullish or bearish close) classifies the surge as buying or selling pressure:
Buy Surges (plotted as blue bubbles above the bar): Indicate potential overextension in upward moves.
Sell Surges (plotted as red bubbles below the bar): Flag possible downside fatigue.
Bubble opacity and size scale with surge magnitude—fainter, smaller bubbles for mild excesses; bolder, larger ones for extreme outliers—providing a visual gradient of intensity at a glance.
How to use this tool:
Use this tool as a contrarian edge to anticipate potential pullbacks or reversals, rather than chasing the trend. Large clusters of buy bubbles during a rally could signal "capitulation" from late entrants or forced covers, priming the market for a downside move. Conversely, sell bubbles in a downward move can mark bottoming exhaustion, cueing possible upside bounces.
For best results:
Confluence: Pair with price action, momentum indicators, or other orderflow tools.
Timeframe Flexibility: Excels on low timeframe for day trading; scale up to hourly for swings.
Treat bubbles as filters, not standalone signals—always confirm with broader context.
In essence bubbles don't predict direction but can illuminate when the crowd's aggression might soon flip.
Bubble Sizing and Interpretation
Bubbles are tiered by surge strength for quick assessment:
Small Bubbles: Minor excess — a little more pressure on volume.
Medium Bubbles: Notable excess — moderate alert.
Large Bubbles: Major excess — high-impact event.
Customizing Settings
The indicator keeps things minimal with just two changeable inputs, highlighting quick tweaks without overwhelming options.
WMA Length (default: 100): Controls the lookback for the volume baseline. Increase for smoother, less reactive signals (fewer but more reliable bubbles in volatile assets). Decrease for heightened sensitivity (more frequent alerts in choppy sessions).
Threshold Multiplier (default: 1.5): Scales the deviation buffer. Higher values tighten criteria, reducing bubble frequency for more conservative filtering; lower values loosen it, capturing subtler surges but risking more noise.
These adjustments let traders dial in the indicator to their style.
