ORDER BOOKorder book vp
order book vp is a visual trading tool designed to read volume, buy pressure, sell pressure, and important price zones directly on the chart.
it combines a visual order book panel, a volume profile, an intrabar buy / sell engine, delta tracking, poc, value area, hvn / lvn zones, quantity labels on candles, and a compact dashboard.
the goal is simple: help the trader see where volume is building, where price is reacting, where buyers dominate, where sellers dominate, and which price zones can become important decision areas.
important: pine script does not have access to real level 2 order book data or resting limit orders. this tool does not display real exchange depth. it builds an order book style view from traded volume, volume-at-price, and intrabar analysis.
this gives a clean reading of traded flow, not a promise of real exchange order book depth.
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main features
order book panel
shows a price ladder with levels around the current price. levels above price represent ask / sell pressure. levels below price represent bid / buy pressure.
fast order book effect
adds a fast reactive effect to the panel. the panel reacts to current buy / sell pressure, volume, candle body, and close position inside the candle.
volume profile
displays traded volume by price level. this helps identify where the market has exchanged the most volume.
poc
the point of control shows the price level with the highest volume inside the selected lookback window. it is often an equilibrium, reaction, or decision zone.
vah and val
vah is the upper boundary of the value area.
val is the lower boundary of the value area.
these levels help define the main area where the market built volume.
hvn and lvn
hvn means high volume node.
lvn means low volume node.
hvn zones can act as acceptance areas. lvn zones can act as rejection areas, acceleration zones, or liquidity gaps.
quantity labels
shows traded quantity on recent candles, with delta if enabled. green labels show buy dominance. red labels show sell dominance.
delta candle coloring
colors candles based on buy / sell delta dominance.
dashboard
summarizes important data: poc, vah, val, current candle buy / sell, delta, cvd, pressure, and intrabar source.
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inputs guide
intrabar timeframe
lower timeframe used to estimate buy and sell volume. the lower the timeframe, the more detailed the reading. for example, on a 15 minute chart, using 1 minute gives a finer intrabar view.
lookback
number of candles used to build the volume profile. a higher value gives a broader view. a lower value makes the profile more reactive.
price levels
number of rows used in the volume profile. more rows give more precision, but also use more resources.
show order book panel
turns the order book panel on or off.
visible levels
number of price levels displayed inside the order book panel.
depth bar length
visual length of the depth bars inside the order book panel.
panel position
sets the position of the order book panel on the chart.
detect walls
enables detection of large volume levels.
wall multiplier
defines when a level is considered a wall compared to average level volume.
fast order book effect
turns on the fast reactive order book effect.
fast effect power
makes the order book effect more or less aggressive. higher values make the panel react faster.
fast level decay
controls how far the fast pressure effect spreads around the current price.
flash active levels
highlights active levels when buy or sell pressure is strong.
show volume profile
turns the volume profile on or off.
split buy / sell
splits the profile into buy volume and sell volume.
profile width
sets the visual width of the volume profile.
profile offset
sets the visual offset used for profile elements.
show poc
shows the point of control.
show value area
shows vah and val.
value area percent
sets the percentage used to calculate the value area.
mark hvn / lvn
shows high volume nodes and low volume nodes.
hvn multiplier
sets the threshold for high volume nodes.
lvn multiplier
sets the threshold for low volume nodes.
vp buy opacity
controls the opacity of the buy side of the volume profile.
vp sell opacity
controls the opacity of the sell side of the volume profile.
show quantity labels
turns quantity labels on or off.
on last n candles
defines how many recent candles display quantity labels.
show delta
shows buy minus sell delta inside the quantity labels.
quantity label spacing
increases or decreases the distance between candle labels and candles.
color candles by delta
colors candles based on delta dominance.
show dashboard
turns the small information panel on or off.
dashboard position
sets the position of the dashboard.
strong bar ratio
sets the threshold used for strong buy or strong sell alerts.
bid / buy
sets the buy side color.
ask / sell
sets the sell side color.
poc / accent
sets the poc and main accent color.
neutral
sets the neutral color.
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how to use order book vp
start by choosing the asset and timeframe that match your trading style.
for scalping, use 1 minute, 3 minutes, 5 minutes, or 15 minutes.
for intraday trading, use 15 minutes, 30 minutes, or 1 hour.
for swing trading, use 4 hours or daily.
turn on the volume profile and watch the poc.
when price stays around the poc, the market is often balanced.
when price moves far away from the poc, the market may be in a displacement phase.
watch vah and val.
between vah and val, price is inside the main value area.
above vah, the market may be in bullish expansion or excess.
below val, the market may be in bearish expansion or excess.
watch hvn zones.
an hvn is a zone where a lot of volume was traded. price can return to this area because it represents acceptance.
watch lvn zones.
an lvn is a zone where little volume was traded. price can move quickly through these areas because there is less acceptance.
watch the order book panel.
if buy levels become stronger below price, it can show buying pressure.
if sell levels become stronger above price, it can show selling pressure.
watch the candle quantity labels.
positive delta means more buy volume.
negative delta means more sell volume.
if price rises with positive delta, buyers are supporting the move.
if price rises while delta turns negative, it can show weakness or absorption.
watch cvd inside the dashboard.
rising cvd shows cumulative buy pressure.
falling cvd shows cumulative sell pressure.
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simple beginner workflow
1. find the poc.
2. find vah and val.
3. check if price is inside or outside the value area.
4. check if the order book panel shows more buy pressure or sell pressure.
5. confirm with the quantity labels on candles.
6. look for reactions around poc, vah, val, hvn, or lvn.
7. always use a stop loss and risk management.
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scalping example
on a lower timeframe, order book vp can help identify fast reaction zones.
example:
price comes into val.
the order book panel shows buy pressure.
candle labels show positive delta.
price rejects val.
this can become a long scalp observation zone if market structure confirms.
another example:
price comes into vah.
the order book panel shows sell pressure.
candle labels turn red.
price rejects vah.
this can become a short scalp observation zone if market structure confirms.
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intraday example
on a medium timeframe, the tool helps identify important volume zones.
if price returns to the poc, it may react because this level is the center of traded volume.
if price breaks above vah with buy pressure, continuation can become possible.
if price breaks below val with sell pressure, bearish continuation can become possible.
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swing trading example
on higher timeframes, the volume profile helps identify major acceptance and rejection zones.
hvn zones can act as return zones.
lvn zones can act as acceleration zones.
the poc can act as a major equilibrium level.
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beginner settings
intrabar timeframe: 1
lookback: 300
price levels: 80
visible levels: 16
show order book panel: on
fast order book effect: on
show volume profile: on
split buy / sell: on
show poc: on
show value area: on
mark hvn / lvn: on
vp buy opacity: 25
vp sell opacity: 25
show quantity labels: on
show delta: on
color candles by delta: off
show dashboard: on
this setup keeps the chart complete while staying readable.
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important notes
do not take a trade only because the panel turns green or red.
use the panel as pressure confirmation, not as a standalone signal.
the most important levels to watch are usually poc, vah, val, hvn, and lvn.
a clean reaction on a level with matching delta is more useful than an isolated signal.
the larger the volume window, the more important the level can become.
order book vp is built to give a clear view of traded flow, volume by price, and buy / sell pressure, so the chart becomes a decision map instead of a random price display.
インジケーター
Fibonacci Volume Profilefibonacci volume profile — institutional edition v2
fibonacci volume profile is a chart-based volume profile tool designed to combine volume structure, fibonacci levels, poc, vah, val, bull/bear volume split, merged poc clusters, confluence detection, global heatmap zones and live volume profile gauges in one visual workspace.
the goal of this tool is to help traders understand where volume is concentrated, where price is reacting, and where important structural levels may exist on the chart.
this indicator is not a buy or sell system. it is a market structure and volume analysis tool. it helps the user read the chart with more context before making a trading decision.
main concept
volume profile shows where volume has traded inside a selected price range.
instead of only looking at candles, this tool studies how volume is distributed across price levels. areas with high volume can act as important reaction zones because many market participants traded there. areas with lower volume can sometimes show thinner zones where price may move faster.
the script builds volume profiles using different trigger modes:
fixed bars
session
manual period
each profile displays volume rows, poc, value area, fibonacci levels and optional advanced modules.
how the volume profile works
each volume profile divides the selected range into several price rows.
for every row, the script estimates how much volume traded there.
the row with the highest volume becomes the poc.
the value area contains the main part of traded volume, based on the selected value area percentage.
vah is the upper limit of the value area.
val is the lower limit of the value area.
poc, vah and val are often used by traders as reference levels for reaction, acceptance, rejection, balance and imbalance.
important levels
poc
poc means point of control. it is the price level with the highest volume inside the profile.
a poc can act as a magnet when price returns to it. it can also become a reaction level if price rejects it.
vah
vah means value area high. it marks the upper boundary of the value area.
price above vah can show strength or expansion away from value.
price rejecting vah can show that buyers failed to accept higher prices.
val
val means value area low. it marks the lower boundary of the value area.
price below val can show weakness or expansion away from value.
price rejecting val can show that sellers failed to accept lower prices.
fibonacci module
the script can draw fibonacci levels from the selected volume profile structure.
the anchor can be based on:
vp range
vah to val
poc to range
the fibonacci direction can be automatic or manually selected.
automatic direction uses the dominant bull or bear volume logic to decide whether the fibonacci should be drawn from low to high or from high to low.
this makes the fibonacci module connected to the volume profile context instead of being only a manual drawing tool.
bull and bear volume split
the profile can separate estimated bullish and bearish volume.
this helps identify whether volume inside the profile is more aggressive on the buy side or the sell side.
the delta method can be selected from several modes:
bar direction
range position
body weighted
wick absorption
hybrid pro
this does not represent real bid and ask order flow. it is an estimation based on candle behavior and volume distribution.
merged poc module
when several poc levels are close together, the script can merge them into a cleaner cluster.
this helps reduce chart noise and makes repeated high-volume zones easier to read.
a merged poc cluster can show that several profiles agree around the same price area.
when multiple poc levels cluster near the same zone, that level can become more important for future analysis.
confluence detector
the true confluence detector looks for clusters between different level types.
it can combine:
poc
vah
val
fibonacci levels
multiple profiles
the idea is to identify zones where several independent references are close to each other.
a confluence zone is not a guaranteed reversal point. it is a zone where the chart deserves more attention.
global heatmap
the global heatmap aggregates visible volume profiles into one heatmap zone on the right side of the chart.
this gives a broader view of where volume is concentrated across all visible profiles.
the global heatmap can help identify larger high-volume areas and thinner zones.
live vp gauges panel
the live vp gauges panel shows live information about the current developing volume profile.
it includes readings such as:
buy pressure
sell pressure
net delta estimate
value area position
distance to poc
distance to vah
distance to val
current row pressure
last bar pressure
close location inside the vp range
this panel is not an order book. it does not use bid and ask data. it is based on the current volume profile structure.
dashboard
the dashboard gives a quick summary of the current mode and important status information.
it can show:
current vp mode
number of stored profiles
nearest poc
distance to nearest poc
fibonacci status
poc merge status
value area extension status
confluence status
global heatmap status
poc touch alert
the script includes a poc touch alert.
this alert can help notify when price reaches a stored poc level.
a poc touch does not mean immediate entry. it only means price has reached an important volume reference level.
how to use the tool
step 1: choose the vp mode
fixed bars creates a new profile every selected number of bars.
session creates profiles based on the selected session.
manual period builds a live profile from a fixed manual number of bars.
beginners can start with fixed bars because it is simple and stable.
step 2: choose the number of rows
rows per vp controls how detailed the volume profile is.
more rows give more precision but can make the chart heavier.
fewer rows give a cleaner view but less detail.
a balanced setting is usually better for beginners.
step 3: read poc, vah and val
start by locating the poc.
then look at vah and val.
ask three simple questions:
is price above value?
is price below value?
is price inside value?
this gives a basic market context.
step 4: check reaction zones
watch how price behaves when it reaches poc, vah, val, fibonacci levels or merged poc clusters.
a strong reaction can show rejection.
a slow move through the level can show acceptance.
a clean breakout can show expansion away from value.
step 5: confirm with price action
do not trade only because price touches a level.
wait for confirmation such as:
market structure shift
rejection candle
break and retest
support or resistance reaction
volume confirmation
trend confirmation
example 1: price returns to poc
price moves away from a profile and later returns to the poc.
this can be a magnet zone because the poc is the highest volume level of that profile.
a beginner can watch if price accepts the poc or rejects it.
if price holds above poc after a retest, it may show support behavior.
if price rejects below poc, it may show resistance behavior.
example 2: rejection at vah
price moves up into vah and fails to stay above it.
this can show that higher prices are not accepted.
a trader can then look for bearish confirmation on the normal price chart.
the level itself is only a reference. confirmation is still required.
example 3: reaction at val
price drops into val and quickly rejects lower prices.
this can show that sellers failed to push price below value.
a trader can then look for bullish confirmation before considering a long setup.
example 4: merged poc cluster
several poc levels appear close to each other and the script merges them.
this creates a cleaner high-volume cluster.
if price returns to that cluster, it can become an important decision zone.
a beginner should watch whether price bounces, consolidates, or breaks through the cluster.
example 5: confluence zone
a poc, a fibonacci level and a value area boundary appear near the same price.
the confluence detector can highlight this type of zone.
this does not predict the future, but it helps the trader focus on areas where several references agree.
example 6: global heatmap
the global heatmap shows a strong high-volume area on the right side of the chart.
if price trades near this zone, it may slow down, react or consolidate.
if price moves through a low-volume zone, it may move faster.
beginner trading workflow
first, identify the current trend on the main chart.
then, check where price is compared to the nearest poc.
next, look at vah and val.
then, check if there is a merged poc cluster or confluence zone nearby.
after that, wait for price action confirmation.
finally, define risk before entering any trade.
a simple beginner rule is:
do not enter just because a level appears.
wait for price to react.
wait for confirmation.
protect the trade with a clear invalidation level.
best use cases
volume profile analysis
poc reaction zones
value area reading
fibonacci confluence
session profile analysis
fixed range profile analysis
support and resistance context
market balance and imbalance reading
high-volume and low-volume zone detection
beginner-friendly structure analysis
settings overview
vp trigger
selects how the profile is created.
fixed bars builds profiles after a fixed number of bars.
session builds profiles around selected market sessions.
manual period builds a profile from a manual number of bars.
bars per vp
controls how many bars are used before a new fixed profile is created.
manual period bars
controls the number of bars used for the manual live profile.
max vp visible
controls how many profiles remain visible on the chart.
rows per vp
controls the number of price rows inside each profile.
value area percentage
controls how much of the profile volume is included inside the value area.
vp width percentage
controls the visual width of each profile.
show fibonacci
enables or disables fibonacci levels.
anchor type
selects what structure is used to anchor fibonacci levels.
fib direction
selects automatic or manual fibonacci direction.
show poc
shows or hides the point of control.
show vah and val
shows or hides value area high and value area low.
extend poc right
extends poc levels to the right side of the chart.
merge close poc lines
merges close poc levels into cleaner clusters.
bull and bear split
shows estimated bullish and bearish volume separately.
delta method
selects how bullish and bearish volume is estimated.
global heatmap
shows an aggregated heatmap from visible profiles.
true confluence detector
detects zones where several important levels cluster together.
live vp gauges panel
shows live pressure and distance readings from the developing profile.
dashboard
shows a compact status panel with useful script information.
risk note
this indicator is designed for technical analysis and education. it does not give financial advice and does not guarantee results. levels, profiles, gauges, heatmaps and alerts are references only. always use risk management and confirm every setup with your own analysis. インジケーター
Channel Volume Profilwizard channel vp idm is a visual analysis tool built around a dynamic price channel, an anchored volume profile, value area levels, volume nodes, inducement zones, liquidity sweeps, and confluence labels.
the purpose of this indicator is to help traders read where price is positioned inside an active market structure. it combines channel direction, volume acceptance, value area behavior, and liquidity reactions into one clean visual layout.
this indicator does not predict the market. it is designed to organize technical analysis and highlight areas where price may react, slow down, reject, or continue.
main concept
the script builds a dynamic channel around price using a regression-based structure. inside this channel, it calculates an anchored volume profile that follows the slope of the market.
unlike a classic horizontal volume profile, this profile is projected inside the active channel. when the market is rising, the profile follows the upward slope. when the market is falling, the profile follows the downward slope.
this makes the profile easier to read in trending conditions, because the volume zones stay aligned with the current market path.
what the indicator displays
poc
poc stands for point of control. it marks the area with the highest volume inside the profile. this is often an area of acceptance where price may return, pause, or consolidate.
vah
vah stands for value area high. it is the upper boundary of the value area. if price rejects this level, a move back toward the poc may be watched. if price accepts above it, the market may be trying to expand higher.
val
val stands for value area low. it is the lower boundary of the value area. if price rejects this level, a move back toward the poc may be watched. if price accepts below it, the market may be trying to expand lower.
hvn
hvn stands for high volume node. it marks an area where volume concentration is high. these levels may act as areas of acceptance, reaction, or slowdown.
lvn
lvn stands for low volume node. it marks an area where volume concentration is low. these levels may act as fast movement zones, rejection zones, or imbalance areas.
idm
idm represents an internal inducement area. it helps identify internal liquidity zones that may be swept before a reaction or continuation.
drop marker
the drop marker highlights a possible liquidity sweep. it appears when price takes a level or zone and then moves back inside.
a label
the a label is a confluence marker. it combines several conditions such as sweep, rejection, value area interaction, volume behavior, poc reclaim, and structure context. it should not be used alone. it is a visual signal for deeper analysis.
how to use the indicator
start by looking at the channel direction.
if the channel is rising, the trader can focus more on reactions near the lower part of the channel, val, or bullish sweep zones.
if the channel is falling, the trader can focus more on reactions near the upper part of the channel, vah, or bearish sweep zones.
if price is near the middle of the channel, the market may be balanced. in that case, it is usually better to wait for a clear rejection, breakout, sweep, or acceptance shift.
how to use the poc
the poc is the main acceptance level of the current profile.
when price is above the poc, the market may be accepting higher prices.
when price is below the poc, the market may be accepting lower prices.
when price keeps returning to the poc, the market may be consolidating or building balance.
a clean break and hold above the poc can show stronger bullish acceptance.
a clean break and hold below the poc can show weaker structure or bearish acceptance.
how to use vah and val
vah and val define the value area.
a rejection from vah can show that price is failing to accept higher levels.
a rejection from val can show that price is failing to accept lower levels.
an acceptance above vah can suggest expansion to the upside.
an acceptance below val can suggest expansion to the downside.
beginners can use vah, poc, and val as a simple map:
vah = upper value zone
poc = balance zone
val = lower value zone
how to use hvn and lvn
hvn and lvn are displayed as small dotted levels with tiny labels.
hvn can act as a reaction or slowdown zone because price has previously accepted volume there.
lvn can act as a faster movement zone because there was less volume acceptance there.
these levels are not automatic buy or sell signals. they are reference points that should be combined with price action, structure, and risk management.
how to use idm
idm labels show internal inducement areas.
an idm can represent a zone where liquidity was built and later taken by the market. when price sweeps an idm and then reintegrates, it may help explain a reaction or shift in behavior.
an idm near val may support a bullish reaction if price sweeps and returns inside the channel.
an idm near vah may support a bearish reaction if price sweeps and returns inside the channel.
how to use the drop marker
the drop marker shows a potential liquidity sweep.
a drop below val or below the lower channel can suggest that price swept lower liquidity and then returned inside.
a drop above vah or above the upper channel can suggest that price swept upper liquidity and then returned inside.
it is usually better to wait for candle close before interpreting the marker.
how to use the a label
the a label represents a stronger confluence condition.
a bullish a near val or the lower channel can suggest possible absorption if price sweeps liquidity and closes back inside.
a bearish a near vah or the upper channel can suggest possible distribution if price sweeps liquidity and closes back inside.
the a label becomes more meaningful when it appears near poc, vah, val, hvn, lvn, or idm.
it should always be confirmed with market context, candle close, and risk management.
important settings
channel / vp lookback
controls how many bars are used for the channel and the volume profile. a higher value gives a broader view. a lower value gives a more reactive view.
regression length
controls the base of the channel. a higher value makes the channel smoother. a lower value makes it react faster to recent price movement.
vp rows
controls the number of rows in the volume profile. more rows create more detail, but too many rows can make the chart heavier.
value area %
controls the value area calculation. the common default is 70.
poc source
chooses how the poc is calculated. raw is stricter. smoothed is more stable visually.
vah / val source
chooses whether value area boundaries use raw volume or smoothed volume.
keep vp / levels inside rails
keeps the volume profile and main levels inside the channel so they do not overlap the outer rail visuals.
auto guard from neon rails
adds extra spacing from the visual rail bands to keep the profile and levels clean.
show inner lines
shows or hides decorative inner channel lines. when disabled, inner decorative lines are removed, while important levels such as poc, vah, val, hvn, and lvn remain visible.
show hvn / lvn small lines
shows small dotted high volume node and low volume node markers.
idm validation mode
controls how idm labels are displayed.
balanced sweep is more flexible.
strict bos is more selective.
early candidate displays potential idm areas earlier.
a minimum score
controls how selective the a label is. a higher value gives fewer signals. a lower value gives more signals.
beginner workflow
step 1
identify the channel direction.
if the channel is rising, focus on bullish reactions near the lower channel, val, or sweep zones.
if the channel is falling, focus on bearish reactions near the upper channel, vah, or sweep zones.
step 2
check where price is compared to the poc.
above poc can show stronger acceptance.
below poc can show weaker acceptance.
around poc can show balance or consolidation.
step 3
watch vah and val.
vah is the upper value boundary.
val is the lower value boundary.
look for rejection, acceptance, or sweep around these levels.
step 4
use hvn and lvn as reaction levels.
hvn may slow price down.
lvn may lead to faster movement or sharp rejection.
step 5
wait for confirmation.
a drop marker shows a sweep.
an a label shows confluence.
an idm label shows internal liquidity.
when several elements appear in the same area, that zone becomes more important for analysis.
example use case
price is rising inside the channel.
price pulls back toward val.
a drop marker appears below val.
price closes back inside the channel.
an a label appears near the lower channel.
in this case, the trader can study the area as a possible bullish reaction zone. this does not mean automatic entry. the trader should still check market structure, candle close, risk, and invalidation level.
another example
price reaches the upper channel and trades near vah.
a drop marker appears above vah.
price closes back below vah.
an a label appears near the top of the channel.
this can be studied as a possible rejection zone. the trader should still confirm with structure, risk management, and broader market direction.
usage tips
do not use the indicator alone.
always check the broader trend.
wait for candle close before making a decision.
avoid trading every label.
focus on zones where several elements align.
adjust settings depending on the asset and timeframe.
use proper risk management.
test the indicator before using it in live conditions.
risk notice
this indicator is an educational and technical analysis tool. it is not financial advice and does not guarantee any result. all signals and levels should be used as visual references inside a complete trading plan. every trader is responsible for their own decisions, risk management, and execution.
インジケーター
volume profil multitimeframe**Volume Profile D/W/M — Auction Map**
Volume Profile D/W/M is a visual auction-analysis indicator designed to display confirmed Daily, Weekly, or Monthly volume profiles on the chart. It focuses on value areas, volume concentration, auction structure, and important reaction zones. The script is intended for discretionary market analysis and does not generate automatic buy or sell signals.
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## Overview
This indicator builds a volume profile from a selected confirmed period:
* Daily
* Weekly
* Monthly
Only one mode is active at a time. The goal is to keep the chart readable while still showing the most important auction levels.
The profile highlights where volume was concentrated during the selected period and displays key levels such as POC, VAH, VAL, HVN, LVN, VWAP, Initial Balance, naked POC levels, imbalance zones, confluence zones, and auction-state information.
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## Main Features
### Confirmed Volume Profile
The script draws confirmed profiles from closed periods. This makes historical profiles stable and prevents them from constantly changing after the period has closed.
Available profile modes:
* Daily profile
* Weekly profile
* Monthly profile
The current developing profile can also be displayed with the dedicated option, but it should be understood as a live preview and not as a confirmed profile.
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### POC, VAH and VAL
The script displays the main volume profile levels:
* POC: the price row with the highest volume
* VAH: upper boundary of the value area
* VAL: lower boundary of the value area
These levels are used to read market acceptance, rejection, rotation, and possible return-to-value behavior.
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### HVN and LVN
The script can highlight:
* HVN: high-volume nodes, where the market accepted price
* LVN: low-volume nodes, where price often moved quickly or found less acceptance
HVN levels may act as areas of balance or reaction. LVN levels may act as rejection zones or acceleration zones depending on context.
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### Bull / Bear Split and Delta Imbalance Rows
Each profile row can be split into bullish and bearish volume estimates. This helps visualize whether a price area was dominated by bullish or bearish pressure.
The indicator also includes imbalance rows, which highlight areas where one side strongly dominated the row volume.
To avoid label clutter, imbalance labels can be displayed as:
* a single multiplier label
* one label per row
* no label
The multiplier mode is recommended for normal use.
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### Confluence Zones
The confluence module looks for clusters where several important levels are close to each other.
Examples of levels used in confluence:
* POC
* VAH / VAL
* HVN / LVN
* Period open / close
* Naked POC
* Profile high / low
* Poor high / poor low
* Composite levels
A confluence zone does not predict direction by itself. It simply marks an area where several auction references are grouped together.
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### Naked POC Tracking
The script can track previous POC levels that have not yet been revisited. These levels are often watched as potential return-to-value or magnet zones.
Naked POC levels include status logic such as:
* Fresh
* Tested
* Respected
* Broken
* Dead
The extension distance can be adjusted so naked POC levels do not appear too far away from the rest of the profile.
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### VWAP and Initial Balance
The indicator includes optional period VWAP and VWAP bands.
It can also display Initial Balance levels:
* IB High
* IB Low
* IB Mid
* 1x / 2x IB extensions
These tools are useful for reading whether price is rotating inside value, expanding away from balance, or failing an attempted breakout.
---
### Auction Dashboard
The dashboard summarizes useful auction information such as:
* selected mode
* current price location
* auction state
* value relation
* POC migration
* profile shape
* nearest target
* risk zone
* dominant session
* confluence score
* POC, VAH, VAL, VWAP and IB information
The dashboard is only a reading aid. It should not be used as a standalone trading system.
---
## Beginner Tutorial
### Step 1 — Choose the Profile Mode
Start with Daily mode.
Daily mode is usually the easiest to understand because each profile represents one completed trading day.
Once you are comfortable, you can test Weekly and Monthly modes to read the larger market structure.
---
### Step 2 — Read the Main Levels
Start with three levels:
* POC
* VAH
* VAL
A simple way to read them:
* Price above VAH: market is trading above accepted value
* Price below VAL: market is trading below accepted value
* Price around POC: market is rotating near the main accepted price
* Price between VAH and VAL: market is inside value
---
### Step 3 — Look for Reaction Areas
After the basic value area is understood, check:
* HVN zones
* LVN zones
* naked POC levels
* confluence zones
* VWAP
* Initial Balance
Do not use every line as a trade signal. The goal is to identify areas where price may react, pause, reject, or accelerate.
---
### Step 4 — Use the Dashboard
The dashboard helps summarize the profile state.
For example:
* If price is above VAH and POC migration is rising, the market may be accepting higher prices.
* If price rejects above VAH and returns inside value, it may indicate a failed auction.
* If price is near a confluence zone, the area may deserve more attention.
---
## Example Use Cases
### Example 1 — Return to Value
Price trades above VAH, fails to hold, and returns inside the value area.
A trader may watch for a rotation back toward POC.
This is not a direct entry signal. Confirmation should come from price action, market structure, or another method.
---
### Example 2 — POC Magnet
Price moves away from the previous POC but later returns toward it.
A naked POC or composite POC may act as a reference level where traders expect a reaction or pause.
---
### Example 3 — LVN Acceleration
Price approaches an LVN zone.
Because LVN zones represent low acceptance, price may either reject quickly or move through the area with speed.
The direction depends on context, not on the LVN alone.
---
### Example 4 — Weekly Context, Daily Execution
A trader can use Weekly mode to identify larger auction levels, then switch back to a lower chart timeframe to observe how price reacts near those levels.
This helps separate macro context from execution timing.
---
## Recommended Timeframes
The script is not designed for very low timeframes with heavy settings.
Recommended chart timeframes:
* 5 minutes and above for Daily mode
* 15 minutes and above for Weekly mode
* 15 minutes, 30 minutes, or 1 hour for Monthly mode
Using the script on a 1-minute chart is not recommended, especially with Weekly or Monthly mode, developing profile enabled, high profile rows, many historical profiles, or multiple visual modules active.
Very low timeframes may require too many historical bars or too many drawing objects, which can cause TradingView limits to be reached.
---
## Performance Recommendations
For stable use, start with these settings:
* Profiles History: 3
* Profile Rows: 48
* Current Developing Profile: Off
* Imbalance Labels: Multiplier
* Composite Display: Near Profile
* Naked POC extension: short distance
If the chart becomes heavy, reduce:
* profile rows
* history count
* developing profile
* imbalance zones
* VWAP bands
* Initial Balance extensions
* confluence labels
---
## Important Notes
This indicator is an analytical tool, not a trading system.
It does not predict the market and does not provide guaranteed results. All levels should be interpreted with market context, price action, risk management, and the trader’s own strategy.
Volume profile analysis is most useful when combined with structure, trend, volatility, session behavior, and confirmation from price action.
Use the script to build a map of important auction areas, not as a standalone reason to enter or exit a trade.
インジケーター
インジケーター
Volume Profile S/R Zones (Peaks)Volume Profile S/R Zones (Peaks) is a volume-profile based support/resistance tool that converts significant volume nodes into tradable zones, then ranks them by how consistently price respected them over the selected lookback.
The script builds a rolling Volume Profile over a user-defined window (default 81 days) using a fixed number of price bins (default 33 rows). For each price bin it accumulates:
Total volume traded inside that price region
Bullish volume (lower-timeframe bars that close above open)
Bearish volume (implied as total − bullish)
The profile is plotted on the left side of the chart. All profile elements and zones are intentionally forced to a single clean style: white at 20% opacity (labels keep the chart’s default text color styling).
What it detects
1) High Volume Nodes (Peaks)
The script scans the profile rows and detects local maxima (HVNs). To prevent noisy “micro peaks,” a peak must pass two quality filters:
Relative-to-Max filter: peak volume must be at least a % of the largest node’s volume
Prominence filter: peak volume must exceed the average of nearby nodes by a minimum ratio
These filters remove weak nodes and keep only meaningful price areas where the market traded heavily.
2) Optional Low Volume Nodes (Troughs / LVNs)
When enabled, the script also detects local minima (LVNs). LVNs can behave like “barrier” areas where price rejects or moves quickly through.
Zones instead of lines
Each detected node becomes a zone, not a single price line.
Zone center = middle of the profile row
Zone thickness is adaptive:
Zone Half-Width = max(price bin size, ATR × fraction)
This makes zones robust to volatility and reduces “false breaks” caused by small wicks.
Zone merging (reduces clutter)
Nodes close to each other are merged into a single zone if their centers are within:
Merge Distance = ATR × fraction
The merged zone center becomes volume-weighted, so stronger nodes dominate.
Reliability scoring (the core feature)
Every zone is scored by replaying price interaction over the lookback window:
Events
Touch: candle range intersects the zone
Valid rejection: touch + close exits the zone in the expected direction
Confirmed break: close outside the zone, confirmed by:
distance beyond the zone (ATR-based), or
a minimum number of consecutive closes outside
Scoring
Touch adds points
Rejection adds more points
Confirmed break subtracts points
A decay factor is applied each bar so older interactions matter less than recent ones
This produces a practical ranking: zones that get repeatedly respected score high; zones that fail score low.
What you see on the chart
Left-side Volume Profile (white 20% opacity)
Top N strongest zones (ranked by score), drawn as horizontal bands across the chart
Right-side price labels showing each zone’s center price
Label tooltip includes:
zone center price
reliability score
current “role” (support-side vs resistance-side)
polarity bias (bull/bear/neutral based on volume delta)
Inputs and how to tune
Volume Profile
Profile Lookback (Days): defines market memory (short = tactical, long = structural)
Rows: resolution of price bins (higher = more detailed, lower = smoother)
Profile Width: visual width of the profile histogram
POC mode: optional regular or developing POC line
Zones
Top N Zones: limits clutter by plotting only the strongest zones
ATR Length / Zone Half-Width: controls how wide zones are
Prominence / Relative-to-Max: controls strictness of peak detection
Merge Distance: merges nearby zones into one
Scoring
Touch / Rejection / Break points
Decay factor (higher = longer memory)
Break confirmation settings (ATR distance + consecutive closes)
How to use (practical framework)
This indicator is designed to treat volume nodes as acceptance/rejection areas, not perfect lines:
Focus on high-score zones (they have the most recent evidence of being respected)
Use zones as:
potential accumulation/defense areas (support-side)
potential supply/ceiling areas (resistance-side)
Break confirmation is ATR-based to reduce false breakdowns/breakouts
For investing, many users run two instances:
long lookback (e.g., 252 days) for macro zones
shorter lookback (e.g., 81 days) for tactical entries
Notes / Limitations
The script is a historical structure tool, not a predictor.
Zones can shift gradually as the rolling lookback window updates.
Different assets (high volatility vs low volatility) may require different row counts and filter strictness.
License / Credits
Based on LuxAlgo’s Volume Profile foundation and heavily modified to add zone construction, merging, and reliability scoring.
Licensed under CC BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike). インジケーター
Mars Signals - Ultimate Institutional Suite v3.0(Joker)Comprehensive Trading Manual
Mars Signals – Ultimate Institutional Suite v3.0 (Joker)
## Chapter 1 – Philosophy & System Architecture
This script is not a simple “buy/sell” indicator.
Mars Signals – UIS v3.0 (Joker) is designed as an institutional-style analytical assistant that layers several methodologies into a single, coherent framework.
The system is built on four core pillars:
1. Smart Money Concepts (SMC)
- Detection of Order Blocks (professional demand/supply zones).
- Detection of Fair Value Gaps (FVGs) (price imbalances).
2. Smart DCA Strategy
- Combination of RSI and Bollinger Bands
- Identifies statistically discounted zones for scaling into spot positions or exiting shorts.
3. Volume Profile (Visible Range Simulation)
- Distribution of volume by price, not by time.
- Identification of POC (Point of Control) and high-/low-volume areas.
4. Wyckoff Helper – Spring
- Detection of bear traps, liquidity grabs, and sharp bullish reversals.
All four pillars feed into a Confluence Engine (Scoring System).
The final output is presented in the Dashboard, with a clear, human-readable signal:
- STRONG LONG 🚀
- WEAK LONG ↗
- NEUTRAL / WAIT
- WEAK SHORT ↘
- STRONG SHORT 🩸
This allows the trader to see *how many* and *which* layers of the system support a bullish or bearish bias at any given time.
## Chapter 2 – Settings Overview
### 2.1 General & Dashboard Group
- Show Dashboard Panel (`show_dash`)
Turns the dashboard table in the corner of the chart ON/OFF.
- Show Signal Recommendation (`show_rec`)
- If enabled, the textual signal (STRONG LONG, WEAK SHORT, etc.) is displayed.
- If disabled, you only see feature status (ON/OFF) and the current price.
- Dashboard Position (`dash_pos`)
Determines where the dashboard appears on the chart:
- `Top Right`
- `Bottom Right`
- `Top Left`
### 2.2 Smart Money (SMC) Group
- Enable SMC Strategy (`show_smc`)
Globally enables or disables the Order Block and FVG logic.
- Order Block Pivot Lookback (`ob_period`)
Main parameter for detecting key pivot highs/lows (swing points).
- Default value: 5
- Concept:
A bar is considered a pivot low if its low is lower than the lows of the previous 5 and the next 5 bars.
Similarly, a pivot high has a high higher than the previous 5 and the next 5 bars.
These pivots are used as anchors for Order Blocks.
- Increasing `ob_period`:
- Fewer levels.
- But levels tend to be more significant and reliable.
- In highly volatile markets (major news, war events, FOMC, etc.),
using values 7–10 is recommended to filter out weak levels.
- Show Fair Value Gaps (`show_fvg`)
Enables/disables the drawing of FVG zones (imbalances).
- Bullish OB Color (`c_ob_bull`)
- Color of Bullish Order Blocks (Demand Zones).
- Default: semi-transparent green (transparency ≈ 80).
- Bearish OB Color (`c_ob_bear`)
- Color of Bearish Order Blocks (Supply Zones).
- Default: semi-transparent red.
- Bullish FVG Color (`c_fvg_bull`)
- Color of Bullish FVG (upward imbalance), typically yellow.
- Bearish FVG Color (`c_fvg_bear`)
- Color of Bearish FVG (downward imbalance), typically purple.
### 2.3 Smart DCA Strategy Group
- Enable DCA Zones (`show_dca`)
Enables the Smart DCA logic and visual labels.
- RSI Length (`rsi_len`)
Lookback period for RSI (default: 14).
- Shorter → more sensitive, more noise.
- Longer → fewer signals, higher reliability.
- Bollinger Bands Length (`bb_len`)
Moving average period for Bollinger Bands (default: 20).
- BB Multiplier (`bb_mult`)
Standard deviation multiplier for Bollinger Bands (default: 2.0).
- For extremely volatile markets, values like 2.5–3.0 can be used so that only extreme deviations trigger a DCA signal.
### 2.4 Volume Profile (Visible Range Sim) Group
- Show Volume Profile (`show_vp`)
Enables the simulated Volume Profile bars on the right side of the chart.
- Volume Lookback Bars (`vp_lookback`)
Number of bars used to compute the Volume Profile (default: 150).
- Higher values → broader historical context, heavier computation.
- Row Count (`vp_rows`)
Number of vertical price segments (rows) to divide the total price range into (default: 30).
- Width (%) (`vp_width`)
Relative width of each volume bar as a percentage.
In the code, bar widths are scaled relative to the row with the maximum volume.
> Technical note: Volume Profile calculations are executed only on the last bar (`barstate.islast`) to keep the script performant even on higher timeframes.
### 2.5 Wyckoff Helper Group
- Show Wyckoff Events (`show_wyc`)
Enables detection and plotting of Wyckoff Spring events.
- Volume MA Length (`vol_ma_len`)
Length of the moving average on volume.
A bar is considered to have Ultra Volume if its volume is more than 2× the volume MA.
## Chapter 3 – Smart Money Strategy (Order Blocks & FVG)
### 3.1 What Is an Order Block?
An Order Block (OB) represents the footprint of large institutional orders:
- Bullish Order Block (Demand Zone)
The last selling region (bearish candle/cluster) before a strong upward move.
- Bearish Order Block (Supply Zone)
The last buying region (bullish candle/cluster) before a strong downward move.
Institutions and large players place heavy orders in these regions. Typical price behavior:
- Price moves away from the zone.
- Later returns to the same zone to fill unfilled orders.
- Then continues the larger trend.
In the script:
- If `pl` (pivot low) forms → a Bullish OB is created.
- If `ph` (pivot high) forms → a Bearish OB is created.
The box is drawn:
- From `bar_index ` to `bar_index`.
- Between `low ` and `high `.
- `extend=extend.right` extends the OB into the future, so it acts as a dynamic support/resistance zone.
- Only the last 4 OB boxes are kept to avoid clutter.
### 3.2 Order Block Color Guide
- Semi-transparent Green (`c_ob_bull`)
- Represents a Bullish Order Block (Demand Zone).
- Interpretation: a price region with a high probability of bullish reaction.
- Semi-transparent Red (`c_ob_bear`)
- Represents a Bearish Order Block (Supply Zone).
- Interpretation: a price region with a high probability of bearish reaction.
Overlap (Multiple OBs in the Same Area)
When two or more Order Blocks overlap:
- The shared area appears visually denser/stronger.
- This suggests higher order density.
- Such zones can be treated as high-priority levels for entries, exits, and stop-loss placement.
### 3.3 Demand/Supply Logic in the Scoring Engine
is_in_demand = low <= ta.lowest(low, 20)
is_in_supply = high >= ta.highest(high, 20)
- If current price is near the lowest lows of the last 20 bars, it is considered in a Demand Zone → positive impact on score.
- If current price is near the highest highs of the last 20 bars, it is considered in a Supply Zone → negative impact on score.
This logic complements Order Blocks and helps the Dashboard distinguish whether:
- Market is currently in a statistically cheap (long-friendly) area, or
- In a statistically expensive (short-friendly) area.
### 3.4 Fair Value Gaps (FVG)
#### Concept
When the market moves aggressively:
- Some price levels are skipped and never traded.
- A gap between wicks/shadows of consecutive candles appears.
- These regions are called Fair Value Gaps (FVGs) or Imbalances.
The market generally “dislikes” imbalance and often:
- Returns to these zones in the future.
- Fills the gap (rebalance).
- Then resumes its dominant direction.
#### Implementation in the Code
Bullish FVG (Yellow)
fvg_bull_cond = show_smc and show_fvg and low > high and close > high
if fvg_bull_cond
box.new(bar_index , high , bar_index, low, ...)
Core condition:
`low > high ` → the current low is above the high of two bars ago; the space between them is an untraded gap.
Bearish FVG (Purple)
fvg_bear_cond = show_smc and show_fvg and high < low and close < low
if fvg_bear_cond
box.new(bar_index , low , bar_index, high, ...)
Core condition:
`high < low ` → the current high is below the low of two bars ago; again a price gap exists.
#### FVG Color Guide
- Transparent Yellow (`c_fvg_bull`) – Bullish FVG
Often acts like a magnet for price:
- Price tends to retrace into this zone,
- Fill the imbalance,
- And then continue higher.
- Transparent Purple (`c_fvg_bear`) – Bearish FVG
Price tends to:
- Retrace upward into the purple area,
- Fill the imbalance,
- And then resume downward movement.
#### Trading with FVGs
- FVGs are *not* standalone entry signals.
They are best used as:
- Targets (take-profit zones), or
- Reaction areas where you expect a pause or reversal.
Examples:
- If you are long, a bearish FVG above is often an excellent take-profit zone.
- If you are short, a bullish FVG below is often a good cover/exit zone.
### 3.5 Core SMC Trading Templates
#### Reversal Long
1. Price trades down into a green Order Block (Demand Zone).
2. A bullish confirmation candle (Close > Open) forms inside or just above the OB.
3. If this zone is close to or aligned with a bullish FVG (yellow), the signal is reinforced.
4. Entry:
- At the close of the confirmation candle, or
- Using a limit order near the upper boundary of the OB.
5. Stop-loss:
- Slightly below the OB.
- If the OB is broken decisively and price consolidates below it, the zone loses validity.
6. Targets:
- The next FVG,
- Or the next red Order Block (Supply Zone) above.
#### Reversal Short
The mirror scenario:
- Price rallies into a red Order Block (Supply).
- A bearish confirmation candle forms (Close < Open).
- FVG/premium structure above can act as a confluence.
- Stop-loss goes above the OB.
- Targets: lower FVGs or subsequent green OBs below.
## Chapter 4 – Smart DCA Strategy (RSI + Bollinger Bands)
### 4.1 Smart DCA Concept
- Classic DCA = buying at fixed time intervals regardless of price.
- Smart DCA = scaling in only when:
- Price is statistically cheaper than usual, and
- The market is in a clear oversold condition.
Code logic:
rsi_val = ta.rsi(close, rsi_len)
= ta.bb(close, bb_len, bb_mult)
dca_buy = show_dca and rsi_val < 30 and close < bb_lower
dca_sell = show_dca and rsi_val > 70 and close > bb_upper
Conditions:
- DCA Buy – Smart Scale-In Zone
- RSI < 30 → oversold.
- Close < lower Bollinger Band → price has broken below its typical volatility envelope.
- DCA Sell – Overbought/Distribution Zone
- RSI > 70 → overbought.
- Close > upper Bollinger Band → price is extended far above the mean.
### 4.2 Visual Representation on the Chart
- Green “DCA” Label Below Candle
- Shape: `labelup`.
- Color: lime background, white text.
- Meaning: statistically attractive level for laddered spot entries or short exits.
- Red “SELL” Label Above Candle
- Warning that the market is in an extended, overbought condition.
- Suitable for profit-taking on longs or considering short entries (with proper confluence and risk management).
- Light Green Background (`bgcolor`)
- When `dca_buy` is true, the candle background turns very light green (high transparency).
- This helps visually identify DCA Zones across the chart at a glance.
### 4.3 Practical Use in Trading
#### Spot Trading
Used to build a better average entry price:
- Every time a DCA label appears, allocate a fixed portion of capital (e.g., 2–5%).
- Combining DCA signals with:
- Green OBs (Demand Zones), and/or
- The Volume Profile POC
makes the zone structurally more important.
#### Futures Trading
- Longs
- Use DCA Buy signals as low-risk zones for opening or adding to longs when:
- Price is inside a green OB, or
- The Dashboard already leans LONG.
- Shorts
- Use DCA Sell signals as:
- Exit zones for longs, or
- Areas to initiate shorts with stops above structural highs.
## Chapter 5 – Volume Profile (Visible Range Simulation)
### 5.1 Concept
Traditional volume (histogram under the chart) shows volume over time.
Volume Profile shows volume by price level:
- At which prices has the highest trading activity occurred?
- Where did buyers and sellers agree the most (High Volume Nodes – HVNs)?
- Where did price move quickly due to low participation (Low Volume Nodes – LVNs)?
### 5.2 Implementation in the Script
Executed only when `show_vp` is enabled and on the last bar:
1. The last `vp_lookback` bars (default 150) are processed.
2. The minimum low and maximum high over this window define the price range.
3. This price range is divided into `vp_rows` segments (e.g., 30 rows).
4. For each row:
- All bars are scanned.
- If the mid-price `(high + low ) / 2` falls inside a row, that bar’s volume is added to the row total.
5. The row with the greatest volume is stored as `max_vol_idx` (the POC row).
6. For each row, a volume box is drawn on the right side of the chart.
### 5.3 Color Scheme
- Semi-transparent Orange
- The row with the maximum volume – the Point of Control (POC).
- Represents the strongest support/resistance level from a volume perspective.
- Semi-transparent Blue
- Other volume rows.
- The taller the bar → the higher the volume → the stronger the interest at that price band.
### 5.4 Trading Applications
- If price is above POC and retraces back into it:
→ POC often acts as support, suitable for long setups.
- If price is below POC and rallies into it:
→ POC often acts as resistance, suitable for short setups or profit-taking.
HVNs (Tall Blue Bars)
- Represent areas of equilibrium where the market has spent time and traded heavily.
- Price tends to consolidate here before choosing a direction.
LVNs (Short or Nearly Empty Bars)
- Represent low participation zones.
- Price often moves quickly through these areas – useful for targeting fast moves.
## Chapter 6 – Wyckoff Helper – Spring
### 6.1 Spring Concept
In the Wyckoff framework:
- A Spring is a false break of support.
- The market briefly trades below a well-defined support level, triggers stop losses,
then sharply reverses upward as institutional buyers absorb liquidity.
This movement:
- Clears out weak hands (retail sellers).
- Provides large players with liquidity to enter long positions.
- Often initiates a new uptrend.
### 6.2 Code Logic
Conditions for a Spring:
1. The current low is lower than the lowest low of the previous 50 bars
→ apparent break of a long-standing support.
2. The bar closes bullish (Close > Open)
→ the breakdown was rejected.
3. Volume is significantly elevated:
→ `volume > 2 × volume_MA` (Ultra Volume).
When all conditions are met and `show_wyc` is enabled:
- A pink diamond is plotted below the bar,
- With the label “Spring” – one of the strongest long signals in this system.
### 6.3 Trading Use
- After a valid Spring, markets frequently enter a meaningful bullish phase.
- The highest quality setups occur when:
- The Spring forms inside a green Order Block, and
- Near or on the Volume Profile POC.
Entries:
- At the close of the Spring bar, or
- On the first pullback into the mid-range of the Spring candle.
Stop-loss:
- Slightly below the Spring’s lowest point (wick low plus a small buffer).
## Chapter 7 – Confluence Engine & Dashboard
### 7.1 Scoring Logic
For each bar, the script:
1. Resets `score` to 0.
2. Adjusts the score based on different signals.
SMC Contribution
if show_smc
if is_in_demand
score += 1
if is_in_supply
score -= 1
- Being in Demand → `+1`
- Being in Supply → `-1`
DCA Contribution
if show_dca
if dca_buy
score += 2
if dca_sell
score -= 2
- DCA Buy → `+2` (strong, statistically driven long signal)
- DCA Sell → `-2`
Wyckoff Spring Contribution
if show_wyc
if wyc_spring
score += 2
- Spring → `+2` (entry of strong money)
### 7.2 Mapping Score to Dashboard Signal
- score ≥ 2 → STRONG LONG 🚀
Multiple bullish conditions aligned.
- score = 1 → WEAK LONG ↗
Some bullish bias, but only one layer clearly positive.
- score = 0 → NEUTRAL / WAIT
Rough balance between buying and selling forces; staying flat is usually preferable.
- score = -1 → WEAK SHORT ↘
Mild bearish bias, suited for cautious or short-term plays.
- score ≤ -2 → STRONG SHORT 🩸
Convergence of several bearish signals.
### 7.3 Dashboard Structure
The dashboard is a two-column table:
- Row 0
- Column 0: `"Mars Signals"` – black background, white text.
- Column 1: `"UIS v3.0"` – black background, yellow text.
- Row 1
- Column 0: `"Price:"` (light grey background).
- Column 1: current closing price (`close`) with a semi-transparent blue background.
- Row 2
- Column 0: `"SMC:"`
- Column 1:
- `"ON"` (green) if `show_smc = true`
- `"OFF"` (grey) otherwise.
- Row 3
- Column 0: `"DCA:"`
- Column 1:
- `"ON"` (green) if `show_dca = true`
- `"OFF"` (grey) otherwise.
- Row 4
- Column 0: `"Signal:"`
- Column 1: signal text (`status_txt`) with background color `status_col`
(green, red, teal, maroon, etc.)
- If `show_rec = false`, these cells are cleared.
## Chapter 8 – Visual Legend (Colors, Shapes & Actions)
For quick reading inside TradingView, the visual elements are described line by line instead of a table.
Chart Element: Green Box
Color / Shape: Transparent green rectangle
Core Meaning: Bullish Order Block (Demand Zone)
Suggested Trader Response: Look for longs, Smart DCA adds, closing or reducing shorts.
Chart Element: Red Box
Color / Shape: Transparent red rectangle
Core Meaning: Bearish Order Block (Supply Zone)
Suggested Trader Response: Look for shorts, or take profit on existing longs.
Chart Element: Yellow Area
Color / Shape: Transparent yellow zone
Core Meaning: Bullish FVG / upside imbalance
Suggested Trader Response: Short take-profit zone or expected rebalance area.
Chart Element: Purple Area
Color / Shape: Transparent purple zone
Core Meaning: Bearish FVG / downside imbalance
Suggested Trader Response: Long take-profit zone or temporary supply region.
Chart Element: Green "DCA" Label
Color / Shape: Green label with white text, plotted below the candle
Core Meaning: Smart ladder-in buy zone, DCA buy opportunity
Suggested Trader Response: Spot DCA entry, partial short exit.
Chart Element: Red "SELL" Label
Color / Shape: Red label with white text, plotted above the candle
Core Meaning: Overbought / distribution zone
Suggested Trader Response: Take profit on longs, consider initiating shorts.
Chart Element: Light Green Background (bgcolor)
Color / Shape: Very transparent light-green background behind bars
Core Meaning: Active DCA Buy zone
Suggested Trader Response: Treat as a discount zone on the chart.
Chart Element: Orange Bar on Right
Color / Shape: Transparent orange horizontal bar in the volume profile
Core Meaning: POC – price with highest traded volume
Suggested Trader Response: Strong support or resistance; key reference level.
Chart Element: Blue Bars on Right
Color / Shape: Transparent blue horizontal bars in the volume profile
Core Meaning: Other volume levels, showing high-volume and low-volume nodes
Suggested Trader Response: Use to identify balance zones (HVN) and fast-move corridors (LVN).
Chart Element: Pink "Spring" Diamond
Color / Shape: Pink diamond with white text below the candle
Core Meaning: Wyckoff Spring – liquidity grab and potential major bullish reversal
Suggested Trader Response: One of the strongest long signals in the suite; look for high-quality long setups with tight risk.
Chart Element: STRONG LONG in Dashboard
Color / Shape: Green background, white text in the Signal row
Core Meaning: Multiple bullish layers in confluence
Suggested Trader Response: Consider initiating or increasing longs with strict risk management.
Chart Element: STRONG SHORT in Dashboard
Color / Shape: Red background, white text in the Signal row
Core Meaning: Multiple bearish layers in confluence
Suggested Trader Response: Consider initiating or increasing shorts with a logical, well-placed stop.
## Chapter 9 – Timeframe-Based Trading Playbook
### 9.1 Timeframe Selection
- Scalping
- Timeframes: 1M, 5M, 15M
- Objective: fast intraday moves (minutes to a few hours).
- Recommendation: focus on SMC + Wyckoff.
Smart DCA on very low timeframes may introduce excessive noise.
- Day Trading
- Timeframes: 15M, 1H, 4H
- Provides a good balance between signal quality and frequency.
- Recommendation: use the full stack – SMC + DCA + Volume Profile + Wyckoff + Dashboard.
- Swing Trading & Position Investing
- Timeframes: Daily, Weekly
- Emphasis on Smart DCA + Volume Profile.
- SMC and Wyckoff are used mainly to fine-tune swing entries within larger trends.
### 9.2 Scenario A – Scalping Long
Example: 5-Minute Chart
1. Price is declining into a green OB (Bullish Demand).
2. A candle with a long lower wick and bullish close (Pin Bar / Rejection) forms inside the OB.
3. A Spring diamond appears below the same candle → very strong confluence.
4. The Dashboard shows at least WEAK LONG ↗, ideally STRONG LONG 🚀.
5. Entry:
- On the close of the confirmation candle, or
- On the first pullback into the mid-range of that candle.
6. Stop-loss:
- Slightly below the OB.
7. Targets:
- Nearby bearish FVG above, and/or
- The next red OB.
### 9.3 Scenario B – Day-Trading Short
Recommended Timeframes: 1H or 4H
1. The market completes a strong impulsive move upward.
2. Price enters a red Order Block (Supply).
3. In the same zone, a purple FVG appears or remains unfilled.
4. On a lower timeframe (e.g., 15M), RSI enters overbought territory and a DCA Sell signal appears.
5. The main timeframe Dashboard (1H) shows WEAK SHORT ↘ or STRONG SHORT 🩸.
Trade Plan
- Open a short near the upper boundary of the red OB.
- Place the stop above the OB or above the last swing high.
- Targets:
- A yellow FVG lower on the chart, and/or
- The next green OB (Demand) below.
### 9.4 Scenario C – Swing / Investment with Smart DCA
Timeframes: Daily / Weekly
1. On the daily or weekly chart, each time a green “DCA” label appears:
- Allocate a fixed fraction of your capital (e.g., 3–5%) to that asset.
2. Check whether this DCA zone aligns with the orange POC of the Volume Profile:
- If yes → the quality of the entry zone is significantly higher.
3. If the DCA signal sits inside a daily green OB, the probability of a medium-term bottom increases.
4. Always build the position laddered, never all-in at a single price.
Exits for investors:
- Near weekly red OBs or large purple FVG zones.
- Ideally via partial profit-taking rather than closing 100% at once.
### 9.5 Case Study 1 – BTCUSDT (15-Minute)
- Context: Price has sold off down towards 65,000 USD.
- A green OB had previously formed at that level.
- Near the lower boundary of this OB, a partially filled yellow FVG is present.
- As price returns to this region, a Spring appears.
- The Dashboard shifts from NEUTRAL / WAIT to WEAK LONG ↗.
Plan
- Enter a long near the OB low.
- Place stop below the Spring low.
- First target: a purple FVG around 66,200.
- Second (optional) target: the first red OB above that level.
### 9.6 Case Study 2 – Meme Coin (PEPE – 4H)
- After a strong pump, price enters a corrective phase.
- On the 4H chart, RSI drops below 30; price breaks below the lower Bollinger Band → a DCA label prints.
- The Volume Profile shows the POC at approximately the same level.
- The Dashboard displays STRONG LONG 🚀.
Plan
- Execute laddered buys in the combined DCA + POC zone.
- Place a protective stop below the last significant swing low.
- Target: an expected 20–30% upside move towards the next red OB or purple FVG.
## Chapter 10 – Risk Management, Psychology & Advanced Tuning
### 10.1 Risk Management
No signal, regardless of its strength, replaces risk control.
Recommendations:
- In futures, do not expose more than 1–3% of account equity to risk per trade.
- Adjust leverage to the volatility of the instrument (lower leverage for highly volatile altcoins).
- Place stop-losses in zones where the idea is clearly invalidated:
- Below/above the relevant Order Block or Spring, not randomly in the middle of the structure.
### 10.2 Market-Specific Parameter Tuning
- Calmer Markets (e.g., major FX pairs)
- `ob_period`: 3–5.
- `bb_mult`: 2.0 is usually sufficient.
- Highly Volatile Markets (Crypto, news-driven assets)
- `ob_period`: 7–10 to highlight only the most robust OBs.
- `bb_mult`: 2.5–3.0 so that only extreme deviations trigger DCA.
- `vol_ma_len`: increase (e.g., to ~30) so that Spring triggers only on truly exceptional
volume spikes.
### 10.3 Trading Psychology
- STRONG LONG 🚀 does not mean “risk-free”.
It means the probability of a successful long, given the model’s logic, is higher than average.
- Treat Mars Signals as a confirmation and context system, not a full replacement for your own decision-making.
- Example of disciplined thinking:
- The Dashboard prints STRONG LONG,
- But price is simultaneously testing a multi-month macro resistance or a major negative news event is imminent,
- In such cases, trade smaller, widen stops appropriately, or skip the trade.
## Chapter 11 – Technical Notes & FAQ
### 11.1 Does the Script Repaint?
- Order Blocks and Springs are based on completed pivot structures and confirmed candles.
- Until a pivot is confirmed, an OB does not exist; after confirmation, behavior is stable under classic SMC assumptions.
- The script is designed to be structurally consistent rather than repainting signals arbitrarily.
### 11.2 Computational Load of Volume Profile
- On the last bar, the script processes up to `vp_lookback` bars × `vp_rows` rows.
- On very low timeframes with heavy zooming, this can become demanding.
- If you experience performance issues:
- Reduce `vp_lookback` or `vp_rows`, or
- Temporarily disable Volume Profile (`show_vp = false`).
### 11.3 Multi-Timeframe Behavior
- This version of the script is not internally multi-timeframe.
All logic (OB, DCA, Spring, Volume Profile) is computed on the active timeframe only.
- Practical workflow:
- Analyze overall structure and key zones on higher timeframes (4H / Daily).
- Use lower timeframes (15M / 1H) with the same tool for timing entries and exits.
## Conclusion
Mars Signals – Ultimate Institutional Suite v3.0 (Joker) is a multi-layer trading framework that unifies:
- Price structure (Order Blocks & FVG),
- Statistical behavior (Smart DCA via RSI + Bollinger),
- Volume distribution by price (Volume Profile with POC, HVN, LVN),
- Liquidity events (Wyckoff Spring),
into a single, coherent system driven by a transparent Confluence Scoring Engine.
The final output is presented in clear, actionable language:
> STRONG LONG / WEAK LONG / NEUTRAL / WEAK SHORT / STRONG SHORT
The system is designed to support professional decision-making, not to replace it.
Used together with strict risk management and disciplined execution,
Mars Signals – UIS v3.0 (Joker) can serve as a central reference manual and operational guide
for your trading workflow, from scalping to swing and investment positioning.
インジケーター
Market Profile Dominance Analyzer# Market Profile Dominance Analyzer
## 📊 OVERVIEW
**Market Profile Dominance Analyzer** is an advanced multi-factor indicator that combines Market Profile methodology with composite dominance scoring to identify buyer and seller strength across higher timeframes. Unlike traditional volume profile indicators that only show volume distribution, or simple buyer/seller indicators that only compare candle colors, this script integrates six distinct analytical components into a unified dominance measurement system.
This indicator helps traders understand **WHO controls the market** by analyzing price position relative to Market Profile key levels (POC, Value Area) combined with volume distribution, momentum, and trend characteristics.
## 🎯 WHAT MAKES THIS ORIGINAL
### **Hybrid Analytical Approach**
This indicator uniquely combines two separate methodologies that are typically analyzed independently:
1. **Market Profile Analysis** - Calculates Point of Control (POC) and Value Area (VA) using volume distribution across price channels on higher timeframes
2. **Multi-Factor Dominance Scoring** - Weights six independent factors to produce a composite dominance index
### **Six-Factor Composite Analysis**
The dominance score integrates:
- Price position relative to POC (equilibrium assessment)
- Price position relative to Value Area boundaries (acceptance/rejection zones)
- Volume imbalance within Value Area (institutional bias detection)
- Price momentum (directional strength)
- Volume trend comparison (participation analysis)
- Normalized Value Area position (precise location within fair value zone)
### **Adaptive Higher Timeframe Integration**
The script features an intelligent auto-selection system that automatically chooses appropriate higher timeframes based on the current chart period, ensuring optimal Market Profile structure regardless of the trading timeframe being analyzed.
## 💡 HOW IT WORKS
### **Market Profile Construction**
The indicator builds a Market Profile structure on a higher timeframe by:
1. **Session Identification** - Detects new higher timeframe sessions using `request.security()` to ensure accurate period boundaries
2. **Data Accumulation** - Stores high, low, and volume data for all bars within the current higher timeframe session
3. **Channel Distribution** - Divides the session's price range into configurable channels (default: 20 rows)
4. **Volume Mapping** - Distributes each bar's volume proportionally across all price channels it touched
### **Key Level Calculation**
**Point of Control (POC)**
- Identifies the price channel with the highest accumulated volume
- Represents the price level where the most trading activity occurred
- Serves as a magnetic level where price often returns
**Value Area (VA)**
- Starts at POC and expands both upward and downward
- Includes channels until reaching the specified percentage of total volume (default: 70%)
- Expansion algorithm compares adjacent volumes and prioritizes the direction with higher activity
- Defines the "fair value" zone where most market participants agreed to trade
### **Dominance Score Formula**
```
Dominance Score = (price_vs_poc × 10) +
(price_vs_va × 5) +
(volume_imbalance × 0.5) +
(price_momentum × 100) +
(volume_trend × 5) +
(va_position × 15)
```
**Component Breakdown:**
- **price_vs_poc**: +1 if above POC, -1 if below (shows which side of equilibrium)
- **price_vs_va**: +2 if above VAH, -2 if below VAL, 0 if inside VA
- **volume_imbalance**: Percentage difference between upper and lower VA volumes
- **price_momentum**: 5-period SMA of price change (directional acceleration)
- **volume_trend**: Compares 5-period vs 20-period volume averages
- **va_position**: Normalized position within Value Area (-1 to +1)
The composite score is then smoothed using EMA with configurable sensitivity to reduce noise while maintaining responsiveness.
### **Market State Determination**
- **BUYERS Dominant**: Smooth dominance > +10 (bullish control)
- **SELLERS Dominant**: Smooth dominance < -10 (bearish control)
- **NEUTRAL**: Between -10 and +10 (balanced market)
## 📈 HOW TO USE THIS INDICATOR
### **Trend Identification**
- **Green background** indicates buyers are in control - look for long opportunities
- **Red background** indicates sellers are in control - look for short opportunities
- **Gray background** indicates neutral market - consider range-bound strategies
### **Signal Interpretation**
**Buy Signals** (green triangle) appear when:
- Dominance crosses above -10 from oversold conditions
- Previous state was not already bullish
- Suggests shift from seller to buyer control
**Sell Signals** (red triangle) appear when:
- Dominance crosses below +10 from overbought conditions
- Previous state was not already bearish
- Suggests shift from buyer to seller control
### **Value Area Context**
Monitor the information table (top-right) to understand market structure:
- **Price vs POC**: Shows if trading above/below equilibrium
- **Volume Imbalance**: Positive values favor buyers, negative favors sellers
- **Market State**: Current dominant force (BUYERS/SELLERS/NEUTRAL)
### **Multi-Timeframe Strategy**
The auto-timeframe feature analyzes higher timeframe structure:
- On 1-minute charts → analyzes 2-hour structure
- On 5-minute charts → analyzes Daily structure
- On 15-minute charts → analyzes Weekly structure
- On Daily charts → analyzes Yearly structure
This higher timeframe context helps avoid counter-trend trades against the dominant force.
### **Confluence Trading**
Strongest signals occur when multiple factors align:
1. Price above VAH + positive volume imbalance + buyers dominant = Strong bullish setup
2. Price below VAL + negative volume imbalance + sellers dominant = Strong bearish setup
3. Price at POC + neutral state = Potential breakout/breakdown pivot
## ⚙️ INPUT PARAMETERS
- **Higher Time Frame**: Select specific HTF or use 'Auto' for intelligent selection
- **Value Area %**: Percentage of volume contained in VA (default: 70%)
- **Show Buy/Sell Signals**: Toggle signal triangles visibility
- **Show Dominance Histogram**: Toggle histogram display
- **Signal Sensitivity**: EMA period for dominance smoothing (1-20, default: 5)
- **Number of Channels**: Market Profile resolution (10-50, default: 20)
- **Color Settings**: Customize buyer, seller, and neutral colors
## 🎨 VISUAL ELEMENTS
- **Histogram**: Shows smoothed dominance score (green = buyers, red = sellers)
- **Zero Line**: Neutral equilibrium reference
- **Overbought/Oversold Lines**: ±50 levels marking extreme dominance
- **Background Color**: Highlights current market state
- **Information Table**: Displays key metrics (state, dominance, POC relationship, volume imbalance, timeframe, bars in session, total volume)
- **Signal Shapes**: Triangle markers for buy/sell signals
## 🔔 ALERTS
The indicator includes three alert conditions:
1. **Buyers Dominate** - Fires on buy signal crossovers
2. **Sellers Dominate** - Fires on sell signal crossovers
3. **Dominance Shift** - Fires when dominance crosses zero line
## 📊 BEST PRACTICES
### **Timeframe Selection**
- **Scalping (1-5min)**: Focus on 2H-4H dominance shifts
- **Day Trading (15-60min)**: Monitor Daily and Weekly structure
- **Swing Trading (4H-Daily)**: Track Weekly and Monthly dominance
### **Confirmation Strategies**
1. **Trend Following**: Enter in direction of dominance above/below ±20
2. **Reversal Trading**: Fade extreme readings beyond ±50 when diverging with price
3. **Breakout Trading**: Look for dominance expansion beyond ±30 with increasing volume
### **Risk Management**
- Avoid trading during NEUTRAL states (dominance between -10 and +10)
- Use POC levels as logical stop-loss placement
- Consider VAH/VAL as profit targets for mean reversion
## ⚠️ LIMITATIONS & WARNINGS
**Data Requirements**
- Requires sufficient historical data on current chart (minimum 100 bars recommended)
- Lower timeframes may show fewer bars per HTF session initially
- More accurate results after several complete HTF sessions have formed
**Not a Standalone System**
- This indicator analyzes market structure and participant control
- Should be combined with price action, support/resistance, and risk management
- Does not guarantee profitable trades - past dominance does not predict future results
**Repainting Characteristics**
- Higher timeframe levels (POC, VAH, VAL) update as new bars form within the session
- Dominance score recalculates with each new bar
- Historical signals remain fixed, but current session data is developing
**Volume Limitations**
- Uses exchange-provided volume data which varies by instrument type
- Forex and some CFDs use tick volume (not actual transaction volume)
- Most accurate on instruments with reliable volume data (stocks, futures, crypto)
## 🔍 TECHNICAL NOTES
**Performance Optimization**
- Uses `max_bars_back=5000` for extended historical analysis
- Efficient array management prevents memory issues
- Automatic cleanup of session data on new period
**Calculation Method**
- Market Profile uses actual volume distribution, not TPO (Time Price Opportunity)
- Value Area expansion follows traditional Market Profile auction theory
- All calculations occur on the chart's current symbol and timeframe
## 📚 EDUCATIONAL VALUE
This indicator helps traders understand:
- How institutional traders use Market Profile to identify fair value
- The relationship between price, volume, and market acceptance
- Multi-factor analysis techniques for assessing market conditions
- The importance of higher timeframe structure in trade planning
## 🎓 RECOMMENDED READING
To better understand the concepts behind this indicator:
- "Mind Over Markets" by James Dalton (Market Profile foundations)
- "Markets in Profile" by James Dalton (Value Area analysis)
- Volume Profile analysis in institutional trading
## 💬 USAGE TERMS
This indicator is provided as an educational and analytical tool. It does not constitute financial advice, investment recommendations, or trading signals. Users are responsible for their own trading decisions and should conduct their own research and due diligence.
Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
インジケーター
Dynamic Volume Trace Profile [ChartPrime]⯁ OVERVIEW
Dynamic Volume Trace Profile is a reimagined take on volume profile analysis. Instead of plotting a static horizontal histogram on the side of your chart, this indicator projects dynamic volume trace lines directly onto the price action. Each bin is color-graded according to its relative strength, creating a living “volume skeleton” of the market. The orange trace highlights the current Point of Control (POC)—the price level with maximum historical traded volume within the lookback window. On the right side, the tool builds a mini profile, showing absolute volume per bin alongside its percentage share, where the POC always represents 100% strength .
⯁ KEY FEATURES
Dynamic On-Chart Bins:
The range between highest high and lowest low is split into 25 bins. Each bin is drawn as a horizontal trace line across the lookback chart period.
Gradient Color Encoding:
Trace lines fade from transparent to teal depending on relative volume size. The more intense the teal, the stronger the historical traded activity at that level.
Automatic POC Highlight:
The bin with the highest aggregated volume is flagged with an orange line . This POC adapts bar-by-bar as volume distribution shifts.
Right-Side Volume Profile:
At the chart’s right edge, the script prints a box-style profile. Each bin shows:
• Total volume (absolute units).
• Percentage of max volume, in parentheses (POC bin = 100%).
This gives both raw and normalized context at a glance.
Adjustable Lookback Window:
The lookback defines how many bars feed the profile. Increase for stable HTF zones or decrease for responsive intraday distributions.
POC Toggle & Styling:
Optionally toggle POC highlighting on/off, adjust colors, and set line thickness for better integration with your chart theme.
⯁ HOW IT WORKS (UNDER THE HOOD)
Step Sizing:
over last 100 bars is divided by to calculate bin height.
Volume Aggregation:
For each bar in the , the script checks which bin the close falls into, then adds that bar’s volume to the bin’s counter.
Gradient Mapping:
Bin volume is normalized against the max volume across all bins. That value is mapped onto a gradient from transparent → teal.
POC Logic:
The bin with highest volume is colored orange both on the dynamic trace and in the right-side profile.
Right-Hand Profile:
Boxes are drawn for each bin proportional to volume / maxVolume × 50 units, with text labels showing both absolute volume and normalized %.
⯁ USAGE
Use the orange trace as the dominant “magnet” level—price often gravitates to the POC.
Watch for clusters of strong teal traces as areas of high acceptance; thin or faint zones mark low-liquidity gaps prone to fast moves.
On intraday charts, tighten lookback to reveal session-based distributions . For swing or position trading, expand lookback to surface more durable volume shelves.
Compare the right-side profile % to judge how “top-heavy” or “bottom-heavy” the current distribution is.
Use bright, intense color traces as context for confluence with structure, OBs, or liquidity hunts.
⯁ CONCLUSION
Dynamic Volume Trace Profile takes the traditional volume profile and fuses it into the body of price itself. Instead of a fixed sidebar, you see gradient traces layered directly on the chart, giving real-time context of where volume concentrated and where price may be drawn. With built-in POC highlighting, normalized % readouts, and an adaptive right-side profile, it offers both precision levels and market structure awareness in a cleaner, more intuitive form. インジケーター
Volume Range Profile with Fair Value (Zeiierman)█ Overview
The Volume Range Profile with Fair Value (Zeiierman) is a precision-built volume-mapping tool designed to help traders visualize where institutional-level activity is occurring within the price range — and how that volume behavior shifts over time.
Unlike traditional volume profiles that rely on fixed session boundaries or static anchors, this tool dynamically calculates and displays volume zones across both the upper and lower ends of a price range, revealing point-of-control (POC) levels, directional volume flow, and a fair value drift line that updates live with each candle.
You’re not just looking at volume anymore. You’re dissecting who’s in control — and at what price.
⚪ In simple terms:
Upper Zone = The upper portion of the price range, showing concentrated volume activity — typically where selling or distribution may occur
Lower Zone = The lower portion of the price range, highlighting areas of high volume — often associated with buying or accumulation
POC Bin = The bin (price level) with the highest traded volume in the zone — considered the most accepted price by the market
Fair Value Trend = A dynamic trend line tracking the average POC price over time — visualizing the evolving fair value
Zone Labels = Display real-time breakdown of buy/sell volume within each zone and inside the POC — revealing who’s in control
█ How It Works
⚪ Volume Zones
Upper Zone: Anchored at the highest high in the lookback period
Lower Zone: Anchored at the lowest low in the lookback period
Width is user-defined via % of range
Each zone is divided into a series of volume bins
⚪ Volume Bins (Histograms)
Each zone is split into N bins that show how much volume occurred at each level:
Taller = More volume
The POC bin (Point of Control) is highlighted
Labels show % of volume in the POC relative to the whole zone
⚪ Buy vs Sell Breakdown
Each volume bin is split by:
Buy Volume = Close ≥ Open
Sell Volume = Close < Open
The script accumulates these and displays total Buy/Sell volume per zone.
⚪ Fair Value Drift Line
A POC trend is plotted over time:
Represents where volume was most active across each range
Color changes dynamically — green for rising, red for falling
Serves as a real-time fair value anchor across changing market structure
█ How to Use
⚪ Identify Key Control Zones
Use Upper/Lower Zone structures to understand where supply and demand is building.
Zones automatically adapt to recent highs/lows and re-center volume accordingly.
⚪ Follow Institutional Activity
Watch for POC clustering near price tops or bottoms.
Large volumes near extremes may indicate accumulation or distribution.
⚪ Spot Fair Value Drift
The fair value trend line (average POC price) gives insight into market equilibrium.
One strategy can be to trade a re-test of the fair value trend, trades are taken in the direction of the current trend.
█ Understanding Buy & Sell Volume Labels (Zone Totals)
These labels show the total buy and sell volume accumulated within each zone over the selected lookback period:
Buy Vol (green label) → Total volume where candles closed bullish
Sell Vol (red label) → Total volume where candles closed bearish
Together, they tell you which side dominated:
Higher Buy Vol → Bullish accumulation zone
Higher Sell Vol → Bearish distribution zone
This gives a quick visual insight into who controlled the zone, helping you spot areas of demand or supply imbalance.
█ Understanding POC Volume Labels
The POC (Point of Control) represents the price level where the most volume occurred within the zone. These labels break down that volume into:
Buy % – How much of the volume was buying (price closed up)
Sell % – How much was selling (price closed down)
Total % – How much of the entire zone’s volume happened at the POC
Use it to spot strong demand or supply zones:
High Buy % + High Total % → Strong buying interest = likely support
High Sell % + High Total % → Strong selling pressure = likely resistance
It gives a deeper look into who was in control at the most important price level.
█ Why It’s Useful
Track where fair value is truly forming
Detect aggressive volume accumulation or dumping
Visually split buyer/seller control at the most relevant price levels
Adapt volume structures to current trend direction
█ Settings Explained
Lookback Period: Number of bars to scan for highs/lows. Higher = smoother zones, Lower = reactive.
Zone Width (% of Range): Controls how much of the range is used to define each zone. Higher = broader zones.
Bins per Zone: Number of volume slices per zone. Higher = more detail, but heavier on resources.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
インジケーター
Price & Volume Profile (Expo)█ Overview
The Price & Volume Profile provides a holistic perspective on market dynamics by simultaneously tracking price action and trading volume across a range of price levels. So it is not only a volume-based indicator but also a price-based one. In addition to illustrating volume distribution, it quantifies how frequently the price has fallen within a particular range, thus offering a holistic perspective on market dynamics.
This unique and comprehensive approach to market analysis by considering both price action and trading volume, two crucial dimensions of market activity. Its distinctive methodology offers several advantages:
Holistic Market View: By simultaneously tracking the frequency of specific price ranges (Price Profile) and the volume traded at those ranges (Volume Profile), this indicator provides a more complete picture of market behavior. It shows not only where the market is trading but also how much it's trading, reflecting both price acceptance levels and market participation intensity.
Point of Control (POC): The POC, as highlighted by this indicator, serves as a significant reference point for traders. It identifies the price level with the highest trading activity, thus indicating a strong consensus among market participants about the asset's fair value. Observing how price interacts with the POC can offer valuable insights into market sentiment and potential trend reversals.
Support and Resistance Levels: Price levels with high trading activity often act as support or resistance in future price movements. The indicator visually represents these levels, enabling traders to anticipate potential price reactions.
Price Profile
Price and Volume Profile
█ Calculations
The algorithm analyzes both trade frequency and volume across different price levels. It identifies these levels within the visible chart range, then examines each bar to determine if the selected price falls within these levels. If so, it increases a counter and adds the trading volume. This process repeats across the visible range and is visualized as a horizontal histogram, each bar representing a price level and the bar length reflecting trade frequency and volume. Additionally, it calculates the Point of Control (POC), signifying the price level with the highest activity.
In summary: The histogram presents a dual perspective - not only the traded volume at each price level but also the frequency of the price hitting each range. The longer the bar, the more times the price has frequented that specific range, revealing key insights into price behavior and acceptance levels. These frequently visited areas often emerge as strong support or resistance zones, helping traders navigate market movements.
Please note that the indicator adjusts to the visible price range, making it adaptable to changing market conditions. This dynamic analysis can provide more relevant and timely information than static indicators.
█ How to use
This indicator is beneficial for traders as it offers insights into the distribution of trading activity across different price levels. It helps identify key areas of support and resistance and gives a visual representation of market sentiment and liquidity.
The point of control (POC) , which is the price level with the highest traded volume or frequency count, becomes even more crucial in this context. It marks the price at which the most trading activity occurred, signaling a strong consensus among market participants about the asset's fair value. If the market price deviates significantly from the POC, it could suggest an overbought or oversold condition, potentially leading to a price reversion.
Fair Price Areas/gaps are specific price levels or zones where an asset has spent limited time in the past. These areas are considered interesting or significant because they may have an impact on future price action.
Similar to the concept of fair value gaps, which refers to discrepancies between an asset's market price and its estimated intrinsic value, Fair Price Areas/gaps focus on price levels that have been relatively underutilized in terms of trading activity. When an asset's price reaches a Fair Price Area/gap, traders and investors pay attention because they expect the price to react in some way. The rationale behind this concept is that price tends to gravitate towards areas where it has spent less time in the past, as the market perceives them as significant levels.
█ Settings
The indicator is customizable, allowing users to define the number of price levels (rows), the offset, the data source, and whether to display volume or frequency count. It also adjusts dynamically to the visible price range on the chart, ensuring that the analysis remains relevant and timely with changing market conditions.
Source: The price to use for the calculation. Typically, this is the closing price. By considering the user-selected Source (typically the closing price), the indicator determines the frequency with which the price lands within each designated price level (row) over the selected period. In essence, the indicator provides a count of bars where the Source price falls within each range, essentially creating a "Price Profile."
Row Size: The number of price levels (rows) to divide the visible price range into.
Display: Choose whether to display the number of bars ("Counter") or the total volume ("Volume") for each price level.
Offset: The distance of the histogram from the price chart.
Point of Control (POC): If enabled, the indicator will highlight the price level with the most activity.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
インジケーター
