Smart Money Liquidation Exploits [AlgoAlpha]🟠 OVERVIEW
Smart Money Liquidation Exploits maps recent swing highs and lows as liquidity levels, then watches how price reacts when these levels are reached. It focuses on liquidity sweeps where price moves beyond a prior swing with the wick but the candle body remains on the other side of the level.
The indicator combines pivot-based liquidity mapping, wick rejection signals, and structure-based take-profit levels. This helps traders separate a liquidity sweep from a simple break through a previous high or low.
It can use the current chart timeframe or a selected higher timeframe. This lets traders view liquidity and sweep signals from broader market structure while staying on a lower-timeframe chart.
🟠 CONCEPTS
Liquidity Level — A price level formed from a confirmed pivot high or pivot low. Pivot highs represent potential buy-side liquidity, while pivot lows represent potential sell-side liquidity.
Liquidity Sweep — A move where the wick crosses a liquidity level but the candle body stays beyond neither side of that level. A sweep below a pivot low is treated as bullish, while a sweep above a pivot high is treated as bearish.
Pivot Structure — Confirmed swing highs and lows defined by the Pivot Length setting. Consecutive pivots in the same direction are updated when a more extreme high or low forms.
Take-Profit Level — A target created after a valid sweep. For bullish sweeps, the target is the midpoint between the swept low and the latest swing high. For bearish sweeps, it is the midpoint between the swept high and the latest swing low.
Level Expiry — The period during which a liquidity or take-profit level remains active. Levels stop extending after they are reached or after the selected number of bars expires.
🟠 FEATURES
Liquidity Levels — Displays active pivot-based liquidity levels above and below price.
Sweep Signals — Marks bullish sweeps with ▲ and bearish sweeps with ▼ when price wicks through a liquidity level without the candle body crossing it.
Take-Profit Levels — Displays a dotted target after a valid liquidity sweep when an opposing swing is available.
Target Confirmation — Marks completed take-profit targets with a ✅ and connects the original sweep to the target hit.
Higher-Timeframe Mode — Allows liquidity levels, sweeps, targets, and expiry periods to use structure from a selected higher timeframe.
🟠 HOW TO USE
Watch the active liquidity levels around price to identify recent swing highs and lows that price may test.
Look for a ▲ below price when sell-side liquidity is swept. This shows that price moved below a pivot low but the candle body remained above the level.
Look for a ▼ above price when buy-side liquidity is swept. This shows that price moved above a pivot high but the candle body remained below the level.
After a valid sweep, use the dotted take-profit level as the indicator's structure-based target.
Watch for a ✅ when price reaches an active target. The connecting dotted line shows which sweep produced the completed target.
Increase Pivot Length to focus on broader swings, or reduce it to detect smaller local swings.
Enable Higher Timeframe mode when you want the liquidity structure and signals to come from a broader timeframe than the current chart.
Adjust Level Expiry Bars to control how long untouched liquidity and take-profit levels remain active.
🟠 CONCLUSION
Smart Money Liquidation Exploits combines pivot-based liquidity levels, wick-defined liquidity sweeps, and structure-based take-profit targets. It gives traders a visual way to identify rejected liquidity runs and track the price objective associated with each valid sweep. Indicator
Entry-to-Exit ToolA realtime non-repainting entry-to-exit analysis tool that retains a Provisional or Finalized BUY/SELL entry reference and resolves it through an opposite signal, confirmed terminal invalidation, minimum-profit target, or entry-terminal risk/reward target. The displayed exits are analytical reference events and are not a guarantee of profitability or future performance.
Name:
Entry-to-Exit Tool
Searchable Name:
Realtime Non-Repainting Entry Exit Target and Risk Reward Tool
Technical Name:
Realtime Non-Repainting Provisional Finalized Entry Reference Opposite Signal Terminal Break Profit Target and Risk Reward Exit Resolution Tool
Short title:
Trade Exit Tool
Summary
Entry-to-Exit Tool is an exit-resolution indicator that converts internally generated Provisional or Finalized BUY/SELL signals into retained entry references and then identifies where those references would resolve under a selected exit method.
The script does not require signals from another indicator. It contains its own causal transform-path signals, structural resolver, Provisional signal ledger, and Finalized signal ledger. The user selects which internally generated signal stage establishes the entry reference and which stage can later provide an opposite-signal exit.
Each retained entry reference stores:
direction
confirmation bar
confirmation price
retained terminal price
The reference remains active until one enabled exit condition resolves it.
Available exit conditions include:
selected opposite BUY/SELL signal
confirmed close through the retained entry terminal
fixed minimum-profit target
entry-terminal risk/reward target
Opposite-signal exits, terminal exits, fixed-profit targets, and risk/reward targets remain separate exit identities. The script records the exit bar, exit price, resolved direction, and exit reason without rewriting the completed record after later chart history arrives.
This is not a complete strategy or automated trade-management engine. It does not submit orders, calculate position quantities, reverse broker positions, calculate complete strategy profitability, manage a portfolio, or route executable instructions. Its purpose is to show structured entry-to-exit reference behavior from the script’s own causal signal records.
How it works
The script first produces two internally retained signal stages:
Provisional
Finalized
The selected Entry Reference Stage determines which signal stage opens a retained entry reference.
The selected Opposite Exit Signal Stage determines which signal stage can later resolve that reference through an opposite BUY or SELL confirmation.
These two stages can be selected independently.
For example, a user can choose:
Provisional entry with Provisional opposite exit
Provisional entry with Finalized opposite exit
Finalized entry with Provisional opposite exit
Finalized entry with Finalized opposite exit
The script then processes entry-reference events and opposite-exit events in chronological order.
When both event streams contain an event on the same bar, the exit-stage event is processed before the entry-stage event. This prevents the new same-bar entry event from being incorrectly treated as active before the earlier reference has had a chance to resolve.
Provisional entry references
A Provisional entry reference is established from an accepted causal transform-path-agreed BUY or SELL confirmation.
Provisional confirmation requires the candidate direction to agree with the stored causal transform-reference direction.
A retained transform candidate can confirm:
on its candidate bar
or on the following closed bar
The maximum signal confirmation delay is limited to zero or one bar.
When Active Path-Filtered Candidate Memory is enabled, a valid candidate that initially fails transform-path direction agreement can remain stored. It can later confirm on the first closed bar where the retained candidate terminal agrees with the active causal transform direction.
That later passing bar becomes the actual Provisional confirmation bar and entry-reference price.
A Provisional signal is earlier than a Finalized signal, but it has not yet completed structural finalization. It can still be replaced, superseded, or fail to become the retained Finalized identity of its structural swing.
Finalized entry references
A Finalized entry reference is established from a Provisional signal that survives the selected structural resolver.
Finalized identity requires structural completion of the containing swing.
The Finalized reference uses:
the retained structural BUY or SELL identity
the Finalized confirmation bar
the Finalized confirmation price
the retained structural terminal price
Finalized references generally occur later than Provisional references, but they represent the signal identity retained after structural resolution.
Structural events classify and finalize signal identity. They do not independently create the Provisional BUY/SELL signal universe.
Entry-reference behavior
Only one entry reference can remain active at a time.
When no reference is active, the next qualifying event from the selected Entry Reference Stage establishes a new reference.
The reference retains:
long or short direction
entry confirmation bar
entry confirmation price
terminal price associated with that entry identity
The script does not continuously replace an unresolved reference with later same-side entry signals.
A new entry reference is committed only after the prior reference has resolved and the script is flat at the reference-state level.
The reference is an analytical state retained by the indicator. It is not a broker position and does not contain position size or account information.
Exit Resolution Method
The user selects one of three primary exit-resolution methods:
Opposite Signal
Entry Terminal Break
Opposite Or Terminal Break
Target exits are controlled separately and can operate alongside the selected primary exit method.
Opposite Signal
Opposite Signal resolves the active entry reference when the selected opposite signal stage confirms.
For a long reference, the selected SELL signal is the opposite event.
For a short reference, the selected BUY signal is the opposite event.
The opposite event uses the stage selected under Opposite Exit Signal Stage:
Provisional
or Finalized
The exit occurs at that opposite event’s confirmation price.
An opposite signal that does not oppose the currently active direction does not resolve the reference.
Require Profit For Opposite Exit
Require Profit For Opposite Exit applies only to opposite-signal exits.
When disabled, every qualifying opposite signal can resolve the active reference.
When enabled, the opposite signal resolves the reference only when the raw-price return from the retained entry price to the opposite confirmation price is at least the selected Minimum Profit For Opposite Exit percentage.
For a long reference, profit requires the opposite exit price to be sufficiently above the entry price.
For a short reference, profit requires the opposite exit price to be sufficiently below the entry price.
This setting does not delay or block:
Entry Terminal Break
Minimum Profit Target
Risk/Reward Target
An unprofitable opposite signal can therefore be ignored while another enabled exit condition remains active.
Minimum Profit For Opposite Exit is a gate on an opposite signal. It is not the same as the independent Minimum Profit Target exit.
Entry Terminal Break
Entry Terminal Break resolves the active reference when a confirmed close invalidates the retained entry terminal.
For a long reference:
a confirmed close below the retained terminal resolves the reference
For a short reference:
a confirmed close above the retained terminal resolves the reference
The terminal is taken from the same signal identity that established the entry reference.
The terminal is not replaced by every later support, resistance, pivot, or same-side signal.
Terminal exits use confirmed closes only.
An intrabar move through the terminal that does not remain broken at the confirmed close does not create a terminal exit under this script.
Opposite Or Terminal Break
Opposite Or Terminal Break enables both primary exit conditions.
The reference resolves on whichever valid event occurs first:
a qualifying opposite signal
or a confirmed terminal invalidation
When Require Profit For Opposite Exit is enabled, an opposite signal that does not meet the profit requirement is not treated as a valid exit. The terminal condition remains active and can still resolve the reference.
Target Exit
Target Exit is independent from the selected primary Exit Resolution Method.
Available target modes are:
Off
Minimum Profit %
Risk/Reward
When Target Exit is Off, no target price is calculated and no target exit can resolve the reference.
The status table displays:
OFF when the target mode is disabled
n/a when no entry reference is active
unavailable when a Risk/Reward target cannot be formed
the calculated target price when a valid active target exists
Minimum Profit Target
Minimum Profit % creates a fixed target from the retained entry-reference price.
For a long reference:
Target Price = Entry Price × (1 + Minimum Profit Target %)
For a short reference:
Target Price = Entry Price × (1 − Minimum Profit Target %)
The reference resolves when a confirmed close reaches or passes the calculated target.
For a long reference:
the confirmed close must be at or above the target
For a short reference:
the confirmed close must be at or below the target
The exit label is recorded as:
PROFIT TARGET
This target operates independently from Require Profit For Opposite Exit.
The two settings serve different purposes:
Minimum Profit For Opposite Exit controls whether an opposite signal is allowed to exit
Minimum Profit Target creates an independent price level that can exit without an opposite signal
Risk/Reward Target
Risk/Reward creates a target from the distance between the retained entry price and the retained entry terminal.
For a long reference:
Risk Distance = Entry Price − Retained Terminal
Target Price = Entry Price + Risk Distance × Risk/Reward Multiple
For a short reference:
Risk Distance = Retained Terminal − Entry Price
Target Price = Entry Price − Risk Distance × Risk/Reward Multiple
The target is valid only when the retained terminal is on the correct defensive side of the entry price and the resulting risk distance is positive.
For a long reference, the terminal must be below the entry price.
For a short reference, the terminal must be above the entry price.
When the terminal does not produce a positive risk distance, the Risk/Reward target is unavailable. The script does not invent a target by using an absolute distance or moving the terminal to the other side of the entry.
The reference resolves when a confirmed close reaches or passes the valid calculated target.
The exit label is recorded as:
RISK/REWARD TARGET
Confirmed-close target behavior
Both target modes use confirmed closes.
The script does not assume execution at the exact target price when price crosses the target intrabar.
The recorded exit price is the confirmed close of the bar that first satisfies the target condition.
This makes target resolution consistent with the script’s confirmed-close terminal-break behavior.
When a terminal break and target hit are both visible during the same scanned bar, terminal invalidation is given resolution priority in the code and the event is recorded as:
TERMINAL EXIT
Exit identities
The script preserves four separate exit identities:
OPPOSITE EXIT
TERMINAL EXIT
PROFIT TARGET
RISK/REWARD TARGET
These identities are not merged into one generic EXIT label.
This allows the user to distinguish whether the reference resolved because:
an opposite signal confirmed
the retained terminal failed
a fixed percentage target was reached
or the selected risk/reward target was reached
Completed exit records retain:
resolved direction
exit bar
exit price
exit reason
Later chart history does not move the completed exit to a different bar or change its recorded reason.
Signal construction
The internal signal engine uses a causal transform-reference path built from loaded raw-price records.
The transform path is used as a mandatory direction-agreement source for Provisional BUY and SELL confirmation.
The script separately maintains:
raw price arrays
transform path arrays
close, high, and low replay arrays
Provisional signal ledgers
Finalized signal ledgers
structural event ledgers
The transform path and structural resolver remain separate systems.
The transform path confirms Provisional signal direction.
The structural resolver determines which Provisional identity survives into the Finalized ledger.
A structural event does not directly create an entry reference unless Finalized is selected as the Entry Reference Stage and the corresponding Finalized signal record exists.
Transform Path Capturable Segment
Transform Path Capturable Segment percentage controls the captured movement required by the internal transform-reference path.
It is used to retain broader directional legs and reject smaller path pivots.
The setting affects transform-path construction and therefore can affect which candidates pass mandatory path agreement.
It is not an exit target and does not define minimum trade profit.
Structural resolution
The script includes three structural resolver options:
Earliest Terminal
Original Grouping
Conditional Accelerated
Original Grouping is the default.
Earliest Terminal
Earliest Terminal follows the known-prefix earliest terminal chain.
It is intended to retain the earliest causally provable structural terminal under the solver’s rules.
Original Grouping
Original Grouping retains same-side structural candidates as a group.
A later same-side candidate can replace the retained group extreme before an opposite structural candidate resolves the group.
The retained extreme becomes the finalized structural identity when the opposite side completes the structural transition.
Conditional Accelerated
Conditional Accelerated uses captured-path potential after structural proof.
The Structural Capturable Segment percentage applies only to this resolver.
It does not directly filter transform BUY/SELL events or calculate exit targets.
Structural records are prefix-stable and are committed permanently after confirmation.
Structural path and signal context
The script can display:
structural change labels
structural resolution path
Finalized transform BUY/SELL labels
Provisional Candidate signals
failed or superseded Provisional signals
path-disagreed Candidate labels
current live Candidate
live transform-reference path
confirmed support and resistance
These context displays do not change the selected entry-reference stage or exit-resolution method.
Turning a display off hides the object but does not remove its underlying retained ledger.
Entry and exit displays
Entry Reference Markers
Optional Entry Reference Markers show where the selected Provisional or Finalized entry reference was established.
These markers are display-only and do not represent submitted orders.
Resolved Exit Labels
Resolved Exit Labels show completed exit events.
Each label includes the exit identity determined by the resolution condition.
The script limits retained exit labels through the Maximum Exit Labels input.
Older labels are deleted from the chart when the display limit is exceeded. Their removal from the chart does not alter the chronological exit reconstruction used to determine the current active reference.
Active entry level
When Show Active Entry / Terminal Levels is enabled, the active entry confirmation price is displayed as a blue dotted line.
The line starts from the retained entry-reference bar and extends to the right while the reference remains active.
Active terminal level
When terminal-based resolution is enabled, the retained terminal is displayed as an orange dashed line.
For a long reference, this is the price below which a confirmed close produces a terminal exit.
For a short reference, this is the price above which a confirmed close produces a terminal exit.
Active target level
When a valid target mode is enabled, the target is displayed as a green dashed line.
The line appears only when:
an entry reference is active
the selected target mode is not Off
and the target calculation produces a valid price
Minimum Profit % generally produces a target whenever a valid entry price exists.
Risk/Reward requires a valid positive entry-to-terminal risk distance.
Support and resistance
Optional support and resistance levels are derived from confirmed signal terminals.
The user can:
show or hide the levels
extend the levels right
keep or remove broken levels
change line width
control the maximum number of managed chart objects
These levels provide contextual market structure.
They do not replace the retained entry terminal used by the exit-resolution module.
Replay and chronological reconstruction
The script reconstructs the entry-to-exit state from historical Provisional and Finalized signal ledgers.
The selected entry-stage ledger and selected opposite-stage ledger are merged chronologically.
The merge is linear rather than repeatedly sorting the complete combined event list.
This allows the script to preserve event order while avoiding the unnecessary quadratic event sorting that would become increasingly expensive as the number of signal records grows.
For each historical interval, the script checks:
whether the active retained terminal was invalidated
whether an enabled target was reached
whether a qualifying opposite event occurred
whether a new entry reference should be committed after the previous reference resolved
The reconstructed active state at chart end determines:
current active direction
entry price
retained terminal
target price
last exit reason
last exit bar
last exit price
Same-bar event priority
When an entry-stage event and exit-stage event occur on the same bar, the exit-stage event is processed first.
This preserves the prior active reference’s opportunity to resolve before a new reference from the same bar is committed.
It also prevents a newly created same-bar reference from being immediately interpreted as though it existed before the opposite event that appears at the same timestamp.
Performance controls
The script includes:
Statistics-Only Replay
Maximum Replay Objects
Auto Limit Live Replay
Live Replay Bars
Statistics-Only Replay reduces historical chart-object construction while retaining internal calculations.
Maximum Replay Objects limits the number of displayed historical objects.
Auto Limit Live Replay and Live Replay Bars can reduce the amount of live historical drawing on large charts.
These settings primarily control display and replay workload. They do not change the configured exit formulas.
Status pages
The status table includes separate pages for:
Exit State
Signals
Structural
Support/Resistance
Alerts
Guide
Exit State
The Exit State page displays:
selected Entry Stage
selected Opposite Stage
selected Resolution Method
active direction
entry price
retained terminal
last resolution reason
last exit bar
last exit price
selected Target Exit mode
current target price
Target-price display behavior is:
OFF when target exits are disabled
n/a when no reference is active
unavailable when a Risk/Reward target cannot be formed
the formatted target price when the target is valid
Signals
The Signals page summarizes the internal Provisional and Finalized signal state and selected signal context.
Structural
The Structural page displays selected structural resolver information and structural event context.
Support/Resistance
The Support/Resistance page displays level configuration and retained level state.
Alerts
The Alerts page shows whether resolved exit alerts are enabled and whether the current reconstruction produced a long-reference or short-reference exit event.
Guide
The Guide page explains the main output identities and chart-line colors:
retained entry reference
selected-stage opposite exit
confirmed terminal invalidation
target resolution
blue entry line
orange terminal line
green target line
Alerts
The script contains informational alerts for:
Provisional Transform BUY
Provisional Transform SELL
Finalized Transform BUY
Finalized Transform SELL
Long Reference Exit
Short Reference Exit
Provisional alerts are generated from accepted transform-path-agreed Provisional events.
Finalized alerts are generated when structural resolution commits a Finalized BUY or SELL identity.
Exit alerts identify whether a long or short entry reference resolved.
The exit alert title does not distinguish the exact reason in separate alertconditions. The exact chart label and status-table Last Resolution field identify whether the reconstructed exit was:
OPPOSITE EXIT
TERMINAL EXIT
PROFIT TARGET
RISK/REWARD TARGET
Alerts are informational.
They do not contain:
position size
broker account information
order type
stop order
limit order
routing destination
portfolio instruction
or guaranteed execution price
Important behavior note
The script should be understood as:
causal in its signal confirmation
historically stable after closed-bar confirmation
reconstructed chronologically from retained signal ledgers
live-updating only for current open-bar signal and path context
Closed-bar Provisional signals, Finalized signals, entry references, and completed exits are not moved or reclassified by later chart history.
The current open bar can update only the existing live Candidate and transform-reference context inherited from the internal signal engine.
Terminal and target exits use confirmed closes only.
The tool identifies analytical entry-to-exit reference events. It does not confirm that a real order was filled at the displayed price.
Features
Internally generated Provisional BUY/SELL signals
Internally generated Finalized BUY/SELL signals
Selectable Provisional or Finalized Entry Reference Stage
Selectable Provisional or Finalized Opposite Exit Signal Stage
Opposite Signal exit method
Entry Terminal Break exit method
Combined Opposite Or Terminal Break method
Optional profit requirement for opposite exits
Independent Minimum Profit Target
Independent Risk/Reward Target
Entry-to-terminal risk calculation
Confirmed-close target resolution
Confirmed-close terminal invalidation
Separate opposite, terminal, profit-target, and risk/reward exit identities
One retained active entry reference
Chronological entry and exit event reconstruction
Exit-first same-bar event ordering
Linear two-ledger event merge
Permanent closed-bar entry and exit records
Active entry price line
Active retained terminal line
Active target price line
Entry-reference markers
Resolved exit labels
Maximum retained exit-label control
Three selectable structural resolvers
Mandatory causal transform-path agreement
Candidate-bar or next-bar Provisional confirmation
Stored path-filtered Candidate memory
Provisional and Finalized signal ledgers
Failed and superseded Provisional context
Optional structural path
Optional live transform-reference path
Optional support and resistance
Replay and chart-object performance controls
Multiple status-table pages
Informational signal alerts
Informational long-reference and short-reference exit alerts
Strengths
Self-Contained Signal Source — generates its own Provisional and Finalized entry references without requiring another script’s external signal input.
Entry-to-Exit Structure — converts internal BUY/SELL identities into a retained reference with a clearly defined entry price, terminal, target, and exit reason.
Stage Flexibility — allows the entry stage and opposite exit stage to be selected independently.
Exit Method Flexibility — supports opposite confirmation, terminal invalidation, or whichever valid event occurs first.
Independent Target Logic — fixed-profit and risk/reward targets can resolve the reference without waiting for an opposite signal.
Opposite Profit Gate — can prevent an unprofitable opposite signal from resolving the reference while leaving terminal and target exits active.
Identity Separation — opposite, terminal, fixed-profit, and risk/reward exits remain distinguishable.
Terminal Consistency — uses the terminal retained by the same signal identity that established the entry reference.
Confirmed-Close Stability — terminal and target exits do not depend on unfinished intrabar movement.
Chronological Reconstruction — historical state is rebuilt in event order rather than inferred only from the latest signal.
Same-Bar Ordering — exit-stage processing precedes entry-stage processing when both events occur on the same bar.
Performance-Aware Merge — merges already chronological signal ledgers directly instead of repeatedly sorting a combined event array.
Long and Short Symmetry — applies entry, opposite, terminal, and target calculations to both long and short references.
Visual Clarity — separates entry price, terminal price, and target price with distinct chart lines.
Context Availability — retains optional Provisional, Finalized, structural, path, and support/resistance displays.
Weaknesses
Signal Dependence — exit quality depends on the quality and timing of the internally generated Provisional or Finalized entry reference.
No Universal Best Stage — Provisional entries are earlier but less structurally resolved; Finalized entries are more confirmed but later.
Confirmed-Close Delay — terminal and target exits can occur later than an intrabar crossing.
Close-Price Exit Recording — the recorded exit price is the confirmation-bar close, not necessarily the exact target or terminal price touched intrabar.
No Partial Exits — each retained reference resolves as one complete analytical state rather than splitting into multiple exit quantities.
No Trailing Target — the fixed-profit and risk/reward targets do not trail favorable movement.
Static Entry Terminal — the retained terminal belongs to the entry identity and is not dynamically replaced with every later structural level.
Risk/Reward Availability — a risk/reward target cannot be formed when the retained terminal is not on the correct defensive side of the entry price.
Opposite Profit-Gate Persistence — an opposite signal that fails the profit gate is ignored rather than stored as a pending opposite exit.
No Complete Strategy Return — the tool does not calculate commissions, slippage, quantity, capital allocation, or portfolio equity.
No Broker Execution — displayed exits and alerts do not prove that a real order would fill at the same price.
One Active Reference — the script does not maintain simultaneous independent long and short references or multiple scaled entries.
Historical Reconstruction Cost — although the event merge is linear, the script still performs substantial transform, structural, replay, and chart-object work on large charts.
Parameter Sensitivity — transform capture, structural solver, entry stage, opposite stage, target percentage, and reward multiple can materially change results.
No Universal Profitability — structured exits do not guarantee that the underlying entries have sufficient predictive edge.
Who it’s for
This tool is best suited for:
PulseWire users who want an exit-focused companion to transform-based entry signals
traders comparing Provisional and Finalized entry timing
users studying opposite-signal exit timing
users testing retained-terminal invalidation
users testing fixed minimum-profit targets
users testing entry-terminal risk/reward targets
reversal and market-structure traders
users who want long and short exit references
users who want historically stable closed-bar exit labels
users who want one retained entry reference at a time
users interested in causal transform-path agreement
users developing an exit framework before integrating position sizing or routing
research-oriented users comparing multiple exit identities
users who want chart-based exit analysis without a complete strategy engine
Who it’s not for
This tool is not best suited for:
users looking for guaranteed profitable exits
users expecting the script to know the best future exit in advance
users looking for automatic broker execution
users requiring position sizing or account-risk calculations
users requiring partial profit taking
users requiring multiple simultaneous entries
users requiring dynamic trailing stops
users requiring intrabar target or stop execution
users expecting target price to guarantee actual fill price
users wanting complete strategy-equity reconstruction
users wanting commissions, slippage, leverage, or margin modeling
users expecting Provisional or Finalized signals to universally identify profitable trades
users seeking a complete operational transform engine with split quantities, portfolio state, or order routing
Known limitations
The tool is better at:
retaining a consistent entry reference
showing multiple structured exit conditions
distinguishing why an exit occurred
comparing Provisional and Finalized signal stages
visualizing entry, terminal, and target prices
and reconstructing closed-bar entry-to-exit state
than it is at:
predicting which entry will succeed
guaranteeing that a selected target will be reached
guaranteeing that a terminal exit will contain loss
finding the best possible future exit
or reproducing real broker fills
A fixed-profit target can improve consistency but can also exit before a larger move develops.
A risk/reward target can align the target with entry-terminal distance, but the retained terminal may not represent the user’s actual financial risk or intended stop placement.
An opposite signal can respond to changing structure, but it can arrive late or be ignored when Require Profit For Opposite Exit is enabled and the profit requirement is not met.
A terminal exit can preserve the entry identity’s invalidation point, but confirmed-close evaluation can exit beyond the terminal after a fast move.
These are structural exit references, not guarantees of favorable trade outcomes.
Final note
Entry-to-Exit Tool is a focused indicator for converting internally generated Provisional or Finalized BUY/SELL signals into retained entry references and resolving those references through explicitly defined exit conditions.
Its main value is not that it predicts the perfect exit. Its value is that it makes the exit framework visible and consistent:
which stage opened the reference
which stage can provide the opposite exit
which terminal belongs to the entry
whether an opposite exit requires profit
whether a fixed or risk/reward target is active
which condition actually resolved the reference
and where that resolution occurred on a confirmed close
The tool should be viewed as an entry-to-exit analysis layer, not as a complete strategy, broker-execution system, or guarantee of profitability.
It provides more structured exit information than an entry-only signal script while stopping before quantities, partial positions, portfolio state, order routing, and full operational trade management. Indicator
VWAP Reversal Probability Signals🟠 OVERVIEW
VWAP Reversal Probability Signals tracks price movements around an anchored VWAP and two volume-weighted standard deviation bands. It looks for price excursions outside these bands and waits for price to move back through the same band before marking a potential reversal.
Each reversal signal is paired with a fixed VWAP target. The script records whether price reaches that target within a user-defined number of bars and displays the historical success rate for each band independently. This allows traders to compare how different reversal distances have performed over time instead of treating every signal the same.
🟠 CONCEPTS
Anchored VWAP — A volume-weighted average price that resets at the selected session, week, month, quarter, or year and acts as the central reference level.
VWAP Deviation Bands — Upper and lower bands created from volume-weighted standard deviation multiples around the anchored VWAP to define progressively larger price extensions.
Reversal Signal — Generated when price first extends beyond a deviation band and then closes back through that same band, indicating that the extreme move has started to reverse.
VWAP Target — Every signal uses the current anchored VWAP as its fixed target, allowing completed signals to be measured using the same destination.
Reversal Probability — The historical percentage of completed signals from each individual band that reached the VWAP target before the expiry period.
🟠 FEATURES
Anchored VWAP and Reversal Bands — Displays the anchored VWAP together with two configurable upper and lower deviation bands.
Reversal Signal Markers — Shows bullish and bearish reversal signals after price returns back
through the selected deviation band.
Historical Probability Labels — Displays the historical VWAP target hit rate beside each new reversal signal for the corresponding band.
VWAP Target Lines — Draws a projected target from every signal to the current VWAP until the trade either succeeds or expires.
Target Confirmation Marks — Places a confirmation mark when a tracked signal reaches its VWAP target within the selected expiry window.
🟠 HOW TO USE
Choose the VWAP anchor period that matches your trading style, such as session, week, or month.
Watch for price to extend beyond a VWAP deviation band and then move back through that same band before considering a reversal signal.
Compare the probability label shown with the signal to understand how that band has performed historically.
Use the dashed VWAP target line as the expected mean reversion objective for the active signal.
Treat the displayed probability as historical context rather than a prediction of future performance.
🟠 CONCLUSION
VWAP Reversal Probability Signals combines an anchored VWAP, volume-weighted deviation bands, reversal signals, and historical outcome tracking. By measuring how often each type of reversal has returned to the VWAP, it provides both reversal locations and statistical context for those signals. Indicator
EVA Ai+ Auto Chart Patterns - Price Action & Trading Signals EN 🧬 EVA AI Chart Pattern Scanner is an advanced price action and technical analysis indicator designed to automatically detect high-value chart patterns directly on the PulseWire chart.
Instead of manually searching through hundreds of candles, the indicator continuously analyzes market structure, confirmed pivot points, volatility, pattern geometry, volume behavior and breakout conditions.
The result is a clean visual map of developing and confirmed trading setups.
🔍 PATTERNS DETECTED
The indicator automatically identifies:
• Bull Flags and Bear Flags
• Bullish and Bearish Pennants
• Symmetrical Triangles
• Ascending Triangles
• Descending Triangles
• Rising Wedges
• Falling Wedges
• Double Bottom patterns
• Double Top patterns
• Head and Shoulders
• Inverse Head and Shoulders
Both local MICRO patterns and larger MACRO market structures can be detected.
⚡ INTELLIGENT PATTERN SCANNING
EVA AI does not rely on one fixed pattern length.
The scanner evaluates multiple market windows and compares available structures by geometry, compression, trend context, pole strength, volatility and overall pattern quality.
This adaptive approach allows the indicator to detect compact intraday formations as well as larger swing trading patterns.
When two independent structures exist at the same time, the indicator can display both instead of hiding one valid setup behind another.
📐 PREMIUM CHART VISUALIZATION
Developing patterns are displayed directly on the chart with projected boundaries and optional transparent pattern zones.
Confirmed patterns become brighter after a valid closed-candle breakout.
Depending on the detected structure, the chart may display:
• Pattern boundaries
• Pivot point labels
• Neckline levels
• Calculated apex projections
• LONG or SHORT breakout labels
• Pattern quality score
• MICRO or MACRO classification
• Measured price targets
• Target guide lines
Every pattern family has its own visual style and color, making complex market structure easier to read.
🎯 CLOSED-CANDLE BREAKOUT CONFIRMATION
LONG and SHORT signals are generated only after the required breakout has been confirmed on a closed candle.
The script does not use lookahead, future market data or historical signal backfilling.
This means a confirmed signal is fixed on the candle where the breakout condition is actually validated rather than being drawn retrospectively on an earlier candle.
📊 PATTERN QUALITY FILTER
Every detected structure receives an internal quality score from 0 to 100.
The score evaluates factors such as:
• Pattern geometry
• Price compression
• Strength of the preceding movement
• Pattern proportions
• Pivot symmetry
• Breakout candle strength
• Volume behavior
• MICRO or MACRO structure priority
Separate quality thresholds are available for developing patterns and confirmed trading signals.
Raise the threshold to receive fewer but more selective setups. Lower it to increase pattern coverage.
📈 VOLUME AND BREAKOUT FILTERS
Optional volume filters can be used to evaluate consolidation volume and breakout activity.
Traders can choose whether volume should contribute to the quality score or become a strict confirmation requirement.
This makes the indicator adaptable to stocks, cryptocurrency, forex, futures, indices and other liquid markets.
🧠 REVERSAL PATTERN ENGINE
Double Top, Double Bottom, Head and Shoulders and Inverse Head and Shoulders patterns are analyzed through confirmed pivot sequences.
The engine evaluates:
• Distance between pattern points
• Relative height and depth
• Time symmetry
• Shoulder proportions
• Head dominance
• Neckline slope
• Prior directional price movement
• Breakout candle body
• Pattern lifetime
A separate MACRO pivot stream helps detect large reversal structures that may otherwise be hidden by smaller market noise.
🔺 TRIANGLE AND WEDGE DETECTOR
Triangles and wedges are selected from multiple pivot combinations rather than only the most recent four turning points.
The scanner compares slope direction, boundary convergence, initial pattern height, final compression and projected apex distance.
This improves the detection of larger chart formations while filtering weak or geometrically invalid structures.
🛠 FLEXIBLE SETTINGS
The indicator includes detailed controls for:
• Minimum and maximum pattern length
• Pivot sensitivity
• MICRO and MACRO pattern detection
• Pattern quality thresholds
• Breakout confirmation buffer
• Breakout candle strength
• Volume confirmation
• Pattern projection length
• Target calculation
• Pattern colors and transparency
• Maximum number of displayed structures
• Signal cooldown
• Developing pattern visibility
Default settings are balanced for general chart analysis, while experienced traders can create stricter profiles for scalping, day trading or swing trading.
💡 HOW TO USE
1. Add the indicator to a standard candlestick chart.
2. Watch the developing structure and its projected boundaries.
3. Check the pattern type, direction and quality score.
4. Wait for a confirmed closed-candle breakout.
5. Use the calculated target as a technical reference.
6. Confirm the setup with trend direction, liquidity, support and resistance, volume and personal risk management.
The indicator can be used as a chart pattern scanner, breakout indicator, price action tool, market structure detector and technical analysis assistant.
It is suitable for traders working with crypto, forex, stocks, futures and indices across intraday and higher timeframes.
⚠️ IMPORTANT
This indicator is an analytical tool. It does not guarantee profitable trades and should not be treated as financial advice.
Always evaluate market conditions, liquidity, volatility and risk before entering a position.
🚀 NEED A COMPLETE TRADING INDICATOR?
EVA AI+ combines market structure, liquidity zones, trend analysis, momentum confirmation and high-quality LONG/SHORT signals in one advanced trading system.
The indicator helps traders read market direction, locate liquidity, identify potential entries and manage trades with clearly structured Take Profit, Stop Loss and trailing logic.
✅ Stocks, Crypto, Forex and Futures
✅ Intraday and Swing Trading
✅ Market Structure and Liquidity Analysis
✅ LONG and SHORT Trading Signals
✅ Free Test Drive Available
🔥 Get EVA AI+ and request your FREE TEST DRIVE:
Indicator
EVA Ai Chart Patterns v2.9.3 🧬 EVA Ai+ Chart Patterns and Trading Signals Indicator
EVA Ai+ Chart Patterns automatically detects technical analysis patterns directly on the PulseWire chart.
The indicator scans both local and large-scale price structures, draws their boundaries, evaluates pattern quality, and displays clear LONG or SHORT signals after confirmation.
It can be used for crypto, Bitcoin, forex, stocks, futures, and index trading. The detector works on the current chart timeframe and supports scalping, day trading, and swing-trading analysis.
🔍 Patterns detected
📈 Continuation patterns
🟢 Bull Flag — LONG
🔴 Bear Flag — SHORT
🔵 Bull Pennant — LONG
🟠 Bear Pennant — SHORT
The detector evaluates the impulse pole, consolidation range, boundary slopes, price compression, and breakout quality.
🔄 Reversal patterns
🟢 Double Bottom — LONG
🔴 Double Top — SHORT
🟣 Head and Shoulders — SHORT
🔵 Inverse Head and Shoulders — LONG
Double Top and Double Bottom structures are drawn with thick dashed lines. Head and Shoulders patterns use thick dotted lines, making each pattern family easy to recognize on the chart.
🧠 Local and macro pattern detection
Short price structures and large reversal formations are processed separately.
The indicator can detect:
local chart patterns;
large reversal structures;
extended flags and pennants;
patterns containing intermediate price swings;
the strongest valid combination of pivot points.
A minor internal swing does not automatically invalidate a larger pattern. EVA compares several possible pivot combinations and selects the structure with the stronger geometry and quality score.
📊 Pattern quality score
Each detected formation receives a quality rating:
QUALITY 76%
The score considers pattern geometry, scale, time symmetry, prior market direction, pivot structure, and breakout confirmation.
Example chart labels:
FLAG
LONG · QUALITY 78%
HEAD AND SHOULDERS
SHORT · QUALITY 84%
MACRO · 68 bars
Low-quality matches are filtered. Separate thresholds are available for developing and confirmed patterns.
⏳ Developing and confirmed patterns
While a pattern is still developing, its boundaries may update as new candles appear. The chart label shows:
FORMING
A confirmed signal is created only after a candle closes beyond the pattern boundary or neckline.
Closed candle
+ confirmed breakout
+ sufficient quality
= LONG or SHORT
Confirmed signals are placed on the bar where the conditions are actually completed. They are not moved backward to earlier historical candles.
🎨 Individual pattern colors
Each pattern family uses a separate color:
Bull Flag — emerald;
Bear Flag — coral red;
Bull Pennant — cyan;
Bear Pennant — orange;
Double Bottom — lime;
Double Top — magenta;
Head and Shoulders — purple;
Inverse Head and Shoulders — blue.
Pattern colors and developing-pattern transparency can be adjusted in the indicator settings.
🔔 PulseWire alerts
Separate alert conditions are included for:
LONG Flag
SHORT Flag
LONG Pennant
SHORT Pennant
LONG Double Bottom
SHORT Double Top
SHORT Head and Shoulders
LONG Inverse Head and Shoulders
Alerts can be configured through the standard PulseWire alert menu.
📌 How to use the indicator
Identify the broader market context: trend, range, or reversal area.
Check which chart pattern is developing.
Review the expected direction: LONG or SHORT.
Look at the pattern quality score.
Wait for a confirmed candle close beyond the boundary.
Combine the signal with support and resistance, volume, and your risk-management rules.
A developing pattern represents an active scenario. A confirmed label means that the breakout conditions have already been completed.
🎯 Common use cases
EVA Ai+ Chart Patterns can be used for:
technical analysis;
chart pattern detection;
Price Action trading;
trend and reversal analysis;
breakout trading;
crypto trading;
Bitcoin trading;
forex trading;
stock and futures analysis;
scalping;
day trading;
swing trading;
LONG and SHORT trading signals.
⚠️ Risk notice
A chart pattern does not guarantee a reversal, continuation, or profitable trade. Signals should be evaluated together with market context, volume, key price levels, and predefined risk management.
This indicator is an analytical tool and does not provide individual financial or investment advice. Indicator
EVA Ai+ Chart Patterns Indicator - Price Action & Trading Signal🧬 EVA Ai+ — индикатор графических фигур и торговых паттернов
EVA Ai+ Chart Patterns автоматически находит графические фигуры технического анализа прямо на графике PulseWire.
Индикатор отслеживает локальные и крупные ценовые модели, строит их границы, определяет направление возможного пробоя и показывает понятные метки ЛОНГ или ШОРТ после подтверждения сигнала.
Подходит для анализа криптовалют, Bitcoin, Forex, акций, фьючерсов и фондовых индексов. Работает на текущем таймфрейме графика: от скальпинга и внутридневной торговли до более крупных свинговых моделей.
🔍 Какие фигуры распознаёт индикатор
📈 Фигуры продолжения движения
🟢 Бычий флаг — ЛОНГ
🔴 Медвежий флаг — ШОРТ
🔵 Бычий вымпел — ЛОНГ
🟠 Медвежий вымпел — ШОРТ
Алгоритм анализирует импульсное древко, ширину консолидации, наклон границ, сжатие диапазона и качество пробоя.
🔄 Разворотные фигуры
🟢 Двойное дно — ЛОНГ
🔴 Двойная вершина — ШОРТ
🟣 Голова и плечи — ШОРТ
🔵 Перевёрнутые голова и плечи — ЛОНГ
Двойные вершины и основания отображаются толстой пунктирной линией. Голова и плечи — толстой точечной линией. Благодаря этому разные модели легко различить даже на насыщенном графике.
🧠 Поиск локальных и крупных фигур
Обычный короткий паттерн и большая рыночная конструкция рассчитываются отдельно.
Индикатор умеет находить:
локальные фигуры внутри текущего движения;
крупные разворотные модели;
длинные флаги и вымпелы;
фигуры с промежуточными ценовыми колебаниями;
наиболее качественную комбинацию опорных экстремумов.
Мелкий рыночный шум не должен автоматически разрушать крупную модель. Для этого EVA сравнивает несколько допустимых комбинаций и выбирает структуру с более высоким качеством.
📊 Оценка качества фигуры
Каждая найденная модель получает оценку:
КАЧ. 76%
При расчёте учитываются геометрия, масштаб, симметрия, направление движения перед фигурой, качество экстремумов и пробой сигнальной границы.
На графике можно увидеть:
ФЛАГ
ЛОНГ · КАЧ. 78%
ГОЛОВА И ПЛЕЧИ
ШОРТ · КАЧ. 84%
КРУПНАЯ · 68 баров
Низкокачественные совпадения фильтруются. Порог для формирующихся и подтверждённых моделей настраивается отдельно.
⏳ Формирующаяся и подтверждённая фигура
Пока модель развивается, её линии могут обновляться вместе с новыми свечами. Такая фигура отмечается как:
ФОРМИРУЕТСЯ
Подтверждённый сигнал появляется после закрытия свечи за границей фигуры или линией neckline.
Закрытая свеча
+ подтверждённый пробой
+ достаточное качество
= ЛОНГ или ШОРТ
Подтверждённая метка не переносится на прошлые свечи. Сигнал фиксируется на том баре, где условия действительно были выполнены.
🎨 Отдельный цвет для каждого паттерна
У каждой группы свой цвет:
флаг ЛОНГ — изумрудный;
флаг ШОРТ — красно-коралловый;
вымпел ЛОНГ — голубой;
вымпел ШОРТ — оранжевый;
двойное дно — лаймовый;
двойная вершина — малиновый;
голова и плечи — фиолетовый;
перевёрнутые голова и плечи — синий.
Цвета и прозрачность формирующихся фигур доступны в настройках.
🔔 Торговые оповещения PulseWire
Для каждого подтверждённого паттерна предусмотрен отдельный алерт:
ЛОНГ Флаг
ШОРТ Флаг
ЛОНГ Вымпел
ШОРТ Вымпел
ЛОНГ Двойное дно
ШОРТ Двойная вершина
ШОРТ Голова и плечи
ЛОНГ Перевёрнутые голова и плечи
Оповещения можно подключить через стандартное меню PulseWire и получать уведомления при появлении подтверждённой фигуры.
📌 Как применять индикатор
Определите общий контекст рынка: тренд, диапазон или разворотная зона.
Посмотрите, какая фигура формируется на графике.
Проверьте направление: ЛОНГ или ШОРТ.
Обратите внимание на показатель КАЧ.
Дождитесь подтверждённого закрытия свечи за границей модели.
Сопоставьте сигнал с уровнями поддержки и сопротивления, объёмом и собственной системой управления риском.
Формирующаяся фигура показывает возможный сценарий. Подтверждённая метка сообщает, что условия пробоя уже выполнены.
🎯 Для каких задач подходит
Индикатор можно использовать для:
технического анализа;
поиска графических фигур;
Price Action;
анализа тренда и разворота;
поиска пробоя консолидации;
криптовалютной торговли;
торговли Bitcoin;
Forex;
акций и фьючерсов;
скальпинга;
дневной и свинг-торговли;
поиска сигналов ЛОНГ и ШОРТ.
⚠️ Уведомление о рисках
Графическая фигура не гарантирует продолжение или разворот цены. Используйте сигналы вместе с рыночным контекстом, уровнями, объёмом и заранее определённым риском.
Индикатор является аналитическим инструментом и не представляет собой индивидуальную инвестиционную рекомендацию.
🇬🇧 English Title
🧬 EVA Ai+ Chart Patterns Indicator — Price Action & Trading Signals
Search-focused publication title:
EVA Ai+ Flags, Pennants, Double Top & Head and Shoulders Indicator
🇬🇧 English Description
🧬 EVA Ai+ Chart Patterns and Trading Signals Indicator
EVA Ai+ Chart Patterns automatically detects technical analysis patterns directly on the PulseWire chart.
The indicator scans both local and large-scale price structures, draws their boundaries, evaluates pattern quality, and displays clear LONG or SHORT signals after confirmation.
It can be used for crypto, Bitcoin, forex, stocks, futures, and index trading. The detector works on the current chart timeframe and supports scalping, day trading, and swing-trading analysis.
🔍 Patterns detected
📈 Continuation patterns
🟢 Bull Flag — LONG
🔴 Bear Flag — SHORT
🔵 Bull Pennant — LONG
🟠 Bear Pennant — SHORT
The detector evaluates the impulse pole, consolidation range, boundary slopes, price compression, and breakout quality.
🔄 Reversal patterns
🟢 Double Bottom — LONG
🔴 Double Top — SHORT
🟣 Head and Shoulders — SHORT
🔵 Inverse Head and Shoulders — LONG
Double Top and Double Bottom structures are drawn with thick dashed lines. Head and Shoulders patterns use thick dotted lines, making each pattern family easy to recognize on the chart.
🧠 Local and macro pattern detection
Short price structures and large reversal formations are processed separately.
The indicator can detect:
local chart patterns;
large reversal structures;
extended flags and pennants;
patterns containing intermediate price swings;
the strongest valid combination of pivot points.
A minor internal swing does not automatically invalidate a larger pattern. EVA compares several possible pivot combinations and selects the structure with the stronger geometry and quality score.
📊 Pattern quality score
Each detected formation receives a quality rating:
QUALITY 76%
The score considers pattern geometry, scale, time symmetry, prior market direction, pivot structure, and breakout confirmation.
Example chart labels:
FLAG
LONG · QUALITY 78%
HEAD AND SHOULDERS
SHORT · QUALITY 84%
MACRO · 68 bars
Low-quality matches are filtered. Separate thresholds are available for developing and confirmed patterns.
⏳ Developing and confirmed patterns
While a pattern is still developing, its boundaries may update as new candles appear. The chart label shows:
FORMING
A confirmed signal is created only after a candle closes beyond the pattern boundary or neckline.
Closed candle
+ confirmed breakout
+ sufficient quality
= LONG or SHORT
Confirmed signals are placed on the bar where the conditions are actually completed. They are not moved backward to earlier historical candles.
🎨 Individual pattern colors
Each pattern family uses a separate color:
Bull Flag — emerald;
Bear Flag — coral red;
Bull Pennant — cyan;
Bear Pennant — orange;
Double Bottom — lime;
Double Top — magenta;
Head and Shoulders — purple;
Inverse Head and Shoulders — blue.
Pattern colors and developing-pattern transparency can be adjusted in the indicator settings.
🔔 PulseWire alerts
Separate alert conditions are included for:
LONG Flag
SHORT Flag
LONG Pennant
SHORT Pennant
LONG Double Bottom
SHORT Double Top
SHORT Head and Shoulders
LONG Inverse Head and Shoulders
Alerts can be configured through the standard PulseWire alert menu.
📌 How to use the indicator
Identify the broader market context: trend, range, or reversal area.
Check which chart pattern is developing.
Review the expected direction: LONG or SHORT.
Look at the pattern quality score.
Wait for a confirmed candle close beyond the boundary.
Combine the signal with support and resistance, volume, and your risk-management rules.
A developing pattern represents an active scenario. A confirmed label means that the breakout conditions have already been completed.
🎯 Common use cases
EVA Ai+ Chart Patterns can be used for:
technical analysis;
chart pattern detection;
Price Action trading;
trend and reversal analysis;
breakout trading;
crypto trading;
Bitcoin trading;
forex trading;
stock and futures analysis;
scalping;
day trading;
swing trading;
LONG and SHORT trading signals.
⚠️ Risk notice
A chart pattern does not guarantee a reversal, continuation, or profitable trade. Signals should be evaluated together with market context, volume, key price levels, and predefined risk management.
This indicator is an analytical tool and does not provide individual financial or investment advice. Indicator
High Volume Breakout Targets [AlgoAlpha]🟠 OVERVIEW
High Volume Breakout Targets identifies price zones formed by related pivot highs or pivot lows. These zones represent areas where price previously reacted around overlapping wick and candle-body levels.
The indicator then checks whether price closes through a zone with enough of the breakout candle extending beyond its boundary. Qualified breakouts can display directional labels, an entry level, and three targets based on the height of the broken zone.
Normalized volume candles are also shown inside recent active zones. This helps traders compare current volume with its recent average while watching price interact with a potential support or resistance area.
🟠 CONCEPTS
Pivot High Zone — A resistance area formed when a confirmed pivot-high wick falls within the body of a previous pivot-high candle. The zone spans the associated wick highs and body-top levels.
Pivot Low Zone — A support area formed when a confirmed pivot-low wick falls within the body of a previous pivot-low candle. The zone spans the associated wick lows and body-bottom levels.
Pivot Confirmation — A pivot requires the selected number of bars on both sides of the turning point. A higher Pivot Length identifies broader structures but confirms them later and less often.
Zone Maximum Age — The maximum number of bars during which two pivots can be associated and an active zone can continue extending. An expired zone remains visible but no longer produces a breakout.
Qualified Breakout — A breakout requires a confirmed close above a bearish zone or below a bullish zone. It must also place the selected percentage of the candle’s full range beyond the broken boundary.
Normalized Volume — Current volume is divided by its 20-bar average. The resulting ratio controls the size and transparency of the volume candle displayed inside an active zone.
Breakout Targets — The breakout close becomes the entry level. The broken zone’s height is divided into three equal steps to calculate TP1, TP2, and TP3 in the breakout direction.
Target Expiry — Each target setup remains active for a selected number of bars. When TP1 or TP2 is reached, the remaining unhit targets receive a new expiry period from the hit candle.
🟠 FEATURES
Pivot Zones — Displays bullish support zones and bearish resistance zones created from associated pivot structures.
Breakout Labels — Marks bullish and bearish closes that satisfy the selected outside-range requirement.
Three-Level Targets — Displays the breakout entry, a target area, and TP1, TP2, and TP3 levels derived from the broken zone’s height.
Zone Volume Display — Shows normalized volume candles inside the four most recently active zones.
Target Completion Marker — Prints a checkmark on the first candle whose wick reaches TP3.
🟠 HOW TO USE
Adjust Pivot Length to match the structure you trade. Use lower values for smaller and more frequent zones, or higher values for broader and less frequent zones.
Treat bullish zones as potential support and bearish zones as potential resistance while they continue extending.
Watch how price behaves inside a zone. Use the normalized volume candles to compare participation with the recent volume average.
Wait for a breakout label rather than treating every wick through a zone as a breakout. A label appears only after the candle closes beyond the boundary and meets the Minimum Breakout Range setting.
Use a higher Minimum Breakout Range to require more of the breakout candle to trade beyond the zone. Use a lower value to accept less decisive moves.
After a qualified breakout, use the entry line as the breakout reference and TP1, TP2, and TP3 as zone-based projection levels.
Check whether targets are reached before their expiry. TP1 and TP2 extend the active period for the remaining targets when reached.
Combine the zones and breakout signals with market structure, trend direction, liquidity, and risk controls. The indicator does not define a stop-loss or position size.
🟠 CONCLUSION
High Volume Breakout Targets combines pivot-based support and resistance zones, normalized volume context, qualified breakout signals, and zone-height target projections. It gives traders a structured way to assess price interaction with established zones and track the progression of confirmed breakouts. Indicator
Liquidity Sweep Hunter Algo [AlgoAlpha]🟠 OVERVIEW
Liquidity Sweep Hunter Algo identifies liquidity highs and lows across three different lookback periods and keeps them active until they are mitigated. This creates a persistent view of where resting liquidity has formed instead of only showing the latest swing points.
The indicator also displays a heatmap that highlights the relative strength of active liquidity levels and generates reversal signals after price sweeps multiple visible liquidity bands before reclaiming them. Optional trade drawings project a stop loss, reward target, and intermediate target levels directly on the chart.
🟠 CONCEPTS
Liquidity Level — A price extreme detected from fast, medium, and slow lookback windows. Matching levels are merged so nearby highs or lows are treated as the same liquidity area.
Liquidity Heatmap — A visual strength map where colour represents the relative strength of each active liquidity level compared to the other visible levels.
Multi-Level Liquidity Sweep — A reversal condition where price sweeps at least two visible liquidity bands and then closes back beyond the reclaim level within a limited number of bars. An optional strength filter can require the swept levels to exceed a minimum average strength.
🟠 FEATURES
Liquidity Heatmap — Displays active liquidity levels using a colour gradient that reflects their relative strength.
Multi-Level Sweep Signals — Plots bullish and bearish reversal labels after confirmed liquidity sweep and reclaim events.
Trade Projection Boxes — Draws entry, stop loss, reward zone, and target milestone levels after each signal.
Trade Progress Display — Fills the target area as price reaches successive target levels and marks completed trades with a check mark.
🟠 HOW TO USE
Watch the heatmap to identify where stronger liquidity has accumulated around current price.
Wait for a bullish or bearish sweep signal after price clears multiple liquidity bands and reclaims the area.
Use the optional trade projection as a visual reference for the calculated stop loss, reward target, and target milestones.
Increase the lookback values to focus on broader liquidity zones or decrease them to detect more local levels.
Adjust the sweep strength filter if you want signals only when stronger liquidity zones are involved.
🟠 CONCLUSION
Liquidity Sweep Hunter Algo combines persistent liquidity mapping, a relative strength heatmap, and multi-level liquidity sweep detection in a single indicator. It also provides optional trade projections that remain on the chart after each signal. Together these features help traders monitor where liquidity has formed, when it has been swept, and where price has reclaimed the area. Indicator
Indicator
SNIPERS EMAs + VWAPSNIPERS EMAs + VWAP
SNIPERS EMAs + VWAP is a configurable trend and market value analysis tool that combines five Exponential Moving Averages with session VWAP in a single overlay indicator.
The moving averages provide a structured view of short-, medium- and long-term trend direction, while VWAP provides a volume-weighted reference for the average price traded during the active session. Combining them allows traders to compare trend structure with session value without loading multiple separate indicators.
How the Indicator Works
The script plots the following exponential moving averages:
10 EMA
20 EMA
50 EMA
200 EMA
800 EMA
The shorter-period EMAs respond more quickly to recent price movement and can help assess momentum and pullbacks, while the longer-period EMAs provide broader trend context and potential areas of dynamic support and resistance.
VWAP calculates the session's volume-weighted average price, providing an intraday reference based on both traded price and volume.
These calculations are displayed together because they provide two different forms of market context:
EMAs – Trend direction across multiple time horizons.
VWAP – Volume-weighted session value.
When an EMA and VWAP are trading near the same price area, the overlap can provide additional confluence when analysing pullbacks, dynamic support, dynamic resistance or broader market structure. Confluence alone should not be considered a trading signal.
Features
10, 20, 50, 200 and 800-period EMAs
Optional VWAP display
Individual visibility controls for each EMA
Customisable colours
Adjustable EMA and VWAP line widths
Price cross alerts for every EMA
Price cross alerts for VWAP
Configurable EMA/VWAP confluence tolerance
Confluence alerts for the 50, 200 and 800 EMAs
Alert Conditions
The indicator includes alert conditions for:
Price crossing above or below each EMA
Price crossing above or below VWAP
The 50 EMA entering the selected VWAP proximity range
The 200 EMA entering the selected VWAP proximity range
The 800 EMA entering the selected VWAP proximity range
The confluence tolerance is percentage-based so it adapts to instruments with different price scales. A confluence alert is triggered when an EMA first enters the configured proximity range around VWAP rather than on every bar while it remains within that range.
Alerts always follow the chart symbol and timeframe selected when the alert is created.
Intended Use
This indicator is designed to provide visual context for:
Trend direction
Pullbacks within a trend
Dynamic support and resistance
Session value
EMA and VWAP confluence
Multi-timeframe market analysis
It does not generate automatic entries, exits or standalone buy or sell signals. It is intended to complement price action, market structure and sound risk management rather than replace them.
Markets
The indicator can be applied to all PulseWire-supported markets, including:
Forex
Indices
Commodities
Cryptocurrencies
Equities
VWAP behaviour depends on the instrument's available volume data and trading session structure.
Disclaimer
This indicator is provided free of charge for educational and analytical purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Users remain responsible for their own analysis, trading decisions and risk management.
Created by Market Sniper HQ
Trade Like a Sniper, Not Like the Crowd.
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Technical 4x4 MatrixTechnical 4x4 Matrix:
Can Rethinking Common Sense Bring New Insights?
Description:
Does reviewing existing common sense bring new insights? The "Technical 4x4 Matrix" challenges the traditional way we view technical analysis. Instead of stacking endless line charts or reading boring data tables, this indicator reimagines 16 classic technical indicators (RSI, MACD, Bollinger Bands, etc.) by projecting them onto a unified, 4x4 analog meter interface directly on your chart.
By standardizing completely different mathematical models into a single visual language, we can uncover hidden confluences and macro alignments that isolated indicators often miss.
To make this matrix function, the script performs heavy data normalization and correlation calculations behind the scenes. Here is why these calculations are used and what they actually output:
1. Data Normalization Engine (The Analog Meters)
Why it's used: You cannot simply average an RSI (measured 0 to 100) with a MACD (absolute price differences). To create a unified "Average Flow," every indicator must be converted to a uniform scale.
The Calculation: The script uses a custom normalization formula:
Normalized Value = (Current Value - Min Value) / (Max Value - Min Value)
Actual Output Value: Regardless of the indicator's native scale, the output value for every single meter is strictly constrained between 0.0 (Absolute Cold/Oversold) and 1.0 (Absolute Hot/Overbought). For example, a neutral RSI of 50 outputs exactly 0.5.
2. Master HUD Crosshair (Macro Correlation)
Why it's used: To determine if the current micro price action is actually aligned with the macro trend, rather than just reacting to short-term noise.
The Calculation:
First, it creates a ratio: Macro Ratio = SMA(Close, 250) / SMA(Close, 1)
Next, it calculates the correlation between the closing price and this ratio over 20 periods, scaling it for the HUD's Y-Axis:
Y-Axis Ratio = (Correlation + 1.0) / 2.0
Actual Output Value: The raw correlation ranges from -1.0 to 1.0. After scaling, the final Y-Axis output is a coordinate between 0.0 and 1.0. The X-Axis is the simple average of all active 0.0 to 1.0 normalized indicators. If the crosshair intersects at (0.8, 0.8), it outputs a mathematically backed signal of strong macro and micro bullish alignment.
16 togglable indicators rendered as square analog meters with dynamic needle tracking and LED status lights.
Garbage Collection: Efficient array clearing prevents memory leaks and visual ghosting.
Master Crosshair: A central HUD that tracks the aggregated flow of all 16 indicators (X-axis) against macro-trend correlation (Y-axis).
Indicator
Adaptive Smart Money Liquidity Sweep Levels [AlgoAlpha]🟠 OVERVIEW
Adaptive Smart Money Liquidity Levels tracks liquidity resting above and below price by detecting swing highs and lows across multiple lookback periods. Instead of displaying every historical level equally, it stores active liquidity zones, updates them over time, and removes them once price mitigates them.
The indicator also estimates the amount of liquidity accumulated around nearby levels using traded volume. This information is displayed through level opacity, a near-range liquidity balance chart, and an orderbook-style liquidity depth profile to provide context around where liquidity is concentrated.
🟠 CONCEPTS
Liquidity Level — Swing highs and swing lows detected from fast, medium, and slow lookback windows. Nearby levels are merged together to reduce duplicate levels. These levels are used to estimate the location of stop-loss orders, and volume + candle direction are used to estimate the buying/selling (and thus concentration of stop-loss orders) to determine the magnitude of orders at these levels.
Liquidity Depth — Volume is assigned to the nearest active liquidity levels based on candle direction and configurable distance weighting. The accumulated volume forms a depth profile around current price.
Mass Liquidation — Triggered when a candle body moves through two or more active liquidity levels on the same side, indicating multiple liquidity pools were cleared within a single move.
Stop-runs and Liquidity Dynamics — This script takes advantage of the concept of resting limit orders, and resting stop-loss orders. When a bar wicks a liquidity level instead of strongly trading through it, it implies a stronger amount of opposing pressure from both limit and market-orders than the pressure coming from clustered stop-losses, preventing a stop run and signalling a higher chance of that level holding and potentially a rebound. In simple terms, this indicator can be used as part of ICT and Smart Monet Concepts to help better understand a real liquidity sweep (marked by ▲▼) vs liquidation events (marked by highlighted candles) as both events usually require vastly different actions to capitalize on correctly.
🟠 FEATURES
Adaptive Liquidity Levels . Displays the nearest active liquidity above and below price.
• Level opacity increases as more volume accumulates.
• Levels automatically disappear after mitigation or when they exceed the selected maximum age.
• Levels represent accumulating stop loss orders as more trades occur (using volume and candle direction to estimate market orders)
Near Range Liquidity Balance . Shows the relative liquidity accumulated of the 3 nearest levels above and below current price using a two-column comparison chart.
Liquidity Depth Curve . Draws an orderbook-style cumulative depth profile beside price to visualize how liquidity builds further away from the current market.
Liquidation And Sweep Signals . Highlights candles that clear multiple liquidity levels and marks wick-only liquidity sweeps with directional markers.
🟠 HOW TO USE
Monitor liquidation labels and wick sweep markers to distinguish between full liquidity removals and liquidity that was only briefly tested. Liquidity removals imply weak levels while those that were wicked imply strong concentration of limit orders, useful for planning where to place stop losses or to time trade entries.
Watch the nearest liquidity levels to identify where resting liquidity is currently concentrated around price.
Compare the Near Range Liquidity Balance to see whether more liquidity is currently stacked above or below the market.
Use the Liquidity Depth Curve to estimate how liquidity changes as price moves further away from its current location.
🟠 CONCLUSION
Adaptive Smart Money Liquidity Levels combines multi-scale liquidity detection, volume-weighted liquidity accumulation, and mitigation tracking into a single view. By displaying active liquidity, nearby liquidity balance, and cumulative liquidity depth together, it provides additional context for where price is interacting with resting stop orders and how that structure changes over time. A key detail to note is that this script estimates the position and concentration of orders with proxies like swing levels and volume, and that the levels represent stop-loss orders, not limit orders. Indicator
Dynamic Visible AVWAPDynamic Visible AVWAP is a visible-range anchored VWAP tool designed to help traders read active price interaction with important visible swing areas.
The script automatically anchors AVWAP lines from the highest high and/or lowest low inside the currently visible chart range. This makes the tool dynamic: when the visible chart area changes, the anchors are recalculated from the new visible range.
Additional AVWAPs can be enabled with the AVWAP Count setting. When more than one AVWAP is selected, the script adds extra anchors from the next valid swing highs or swing lows. This allows multiple AVWAP references to be displayed at the same time, creating a clearer view of potential confluence zones.
Main features:
Dynamic AVWAP based on the currently visible chart range
Long, Short, or All display modes
Optional multiple AVWAPs per side
Optional deviation channels around each AVWAP
Optional channel fill
Separate style controls for AVWAP lines, channels, arrows, and anchor text
Optional anchor arrows and custom anchor label text
Adjustable text size for anchor labels
Optimized line budgeting to keep the script stable when multiple AVWAPs are displayed
How it can be used:
Dynamic Visible AVWAP can help identify areas where price is interacting with volume-weighted mean levels from important visible swing points. These levels may be useful for context, confluence, pullback analysis, trend continuation review, or mean-reversion observation.
Important note:
The anchors are based on the currently visible chart range. If you zoom, scroll, or change the visible area of the chart, the AVWAP anchors may change because the script recalculates the highest high, lowest low, and additional swing anchors from the new visible range.
This indicator should be used together with broader market analysis, such as structure, volume, liquidity, higher-timeframe levels, and personal risk management. Indicator
Volume Flow MatrixVolume Flow Matrix is a relative volume histogram that helps identify how strong or weak current market participation is compared to recent volume activity.
The indicator measures current volume against a fixed 300-bar volume baseline. Instead of showing raw volume only, it converts volume into a relative reading. This makes it easier to see whether the current candle is trading below average volume, around normal activity, with increased participation, or at an unusually high volume level.
On historical candles, the calculation uses completed candle volume. On the live candle, the indicator uses realtime volume projection. This means the current candle’s volume is estimated based on how much time has passed in the candle. As a result, the histogram can react during the candle instead of only after the candle closes.
The histogram is divided into five volume conditions:
Dry Volume shows candles with weak participation. These bars appear when relative volume is below 0.75. Dry volume can be useful for spotting quiet market phases, low-interest candles, or areas where price is moving without strong volume support.
Default Volume represents normal volume conditions. These candles do not meet the requirements for dry, directional, or extreme volume. Default volume helps separate ordinary market activity from more important volume events.
Bull Volume appears when relative volume is elevated and the candle also shows bullish pressure. For a candle to qualify as Bull Volume, relative volume must be at least 1.55, the candle must close above its open, and the close must be positioned in the upper part of the candle range. This can help highlight candles where stronger participation supports upward pressure.
Bear Volume appears when relative volume is elevated and the candle shows bearish pressure. For a candle to qualify as Bear Volume, relative volume must be at least 1.55, the candle must close below its open, and the close must be positioned in the lower part of the candle range. This can help highlight candles where stronger participation supports downward pressure.
Extreme Volume marks unusually high relative volume at or above 2.30. These candles show that volume is significantly above the recent baseline. Extreme Volume does not automatically mean bullish or bearish continuation. It should be read together with price location, candle structure, support and resistance, liquidity zones, or the broader market context.
Each candle is assigned to only one volume condition. The script checks the conditions in a fixed order so the histogram remains clean and does not stack multiple volume types on the same bar.
How to use it:
Use Dry Volume to identify low-participation areas where price movement may be less reliable.
Use Bull Volume and Bear Volume to confirm whether directional candles are supported by stronger participation.
Use Extreme Volume to mark important high-activity candles that may appear near breakouts, liquidity grabs, absorption areas, reversals, or strong continuation moves.
Use Default Volume as the neutral background state between low-volume and high-volume conditions.
Volume Flow Matrix does not provide trade entries or exits by itself. It is designed to support analysis by making volume behavior easier to read. The strongest use case is combining it with price action, market structure, key levels, liquidity, trend context, or any existing trading plan.
Indicator
Machine Learning Adaptive DMI Signals [AlgoAlpha]🟠 OVERVIEW
The Directional Movement Index (DMI) is commonly calculated using a fixed lookback length. But market conditions change over time, and a length that works well during one period may become less effective during another.
This script builds multiple DMI models across a user-defined range of lengths and continuously evaluates their past performance. Each DMI length acts as an independent expert. As new directional flips occur, the script measures how well each expert performed and updates its internal scoring system.
The result is an adaptive DMI that automatically shifts toward lengths that have recently produced better directional signals while reducing the influence of weaker performers.
🟠 CONCEPTS
Expert DMI — A DMI calculation running at a specific lookback length within the tested range.
Directional Flip — A change in trend state when +DI crosses above -DI or when -DI crosses above +DI.
Reward Score — A performance score assigned to each completed flip based on return, move quality, pullback behavior, or win rate.
Maximum Favorable Excursion (MFE) — The largest move in the trade's favor before the next directional flip.
Maximum Adverse Excursion (MAE) — The largest move against the trade before the next directional flip.
Recency Decay — A weighting system that gradually reduces the influence of older observations so recent market behavior has greater impact.
Softmax Weighting — A probability-style weighting process that gives greater influence to higher-scoring DMI lengths when estimating the adaptive length.
🟠 FEATURES
Adaptive +DI and -DI Lines — Displays directional movement using a dynamically selected DMI length that adjusts over time.
Directional Clouds — Color-filled regions between the DI lines help visualize which side currently has directional control.
Bullish and Bearish Flip Signals — ▲ and ▼ markers appear when the Adaptive +DI and -DI lines cross.
ADX Strength Display — Strength squares at the bottom of the pane become more visible as trend strength increases and fade as strength decreases.
Information Table — Displays the active adaptive length, selected scoring mode, memory count, and current bullish or bearish trend state in a customizable table.
🟠 HOW TO USE
Watch for bullish flips when Adaptive +DI crosses above Adaptive -DI to identify potential shifts toward upward directional control.
Watch for bearish flips when Adaptive -DI crosses above Adaptive +DI to identify potential shifts toward downward directional control.
Use the ADX strength squares to gauge whether directional movement is strengthening or weakening.
Increase the tested length range when evaluating a wider variety of market conditions.
Increase Memory and Forget Old Trades values for more stable adaptation and slower length changes.
Decrease Memory or lower the decay factor when faster adaptation to recent behavior is preferred.
Experiment with the available scoring methods to determine whether return, trend quality, or consistency is more important for your analysis.
🟠 CONCLUSION
Machine Learning Adaptive DMI combines traditional DMI calculations with a performance-driven adaptive length selection process. Instead of relying on a fixed lookback period, it continuously evaluates how different DMI lengths have behaved and adjusts accordingly. This provides a dynamic view of directional strength, trend bias, and signal quality that reflects recent market behavior. Indicator
Indicator
Support and Resistance Retest Breakout Signals [AlgoAlpha]🟠 OVERVIEW
This script identifies support and resistance zones using pairs of swing highs and swing lows that occur within a volatility-adjusted price tolerance. Instead of drawing levels from a single pivot, it waits for two matching swings to confirm a zone, helping filter out isolated highs and lows that may have little significance.
Each zone contains a buy/sell volume balance estimate calculated from lower timeframe data. This provides additional context about the activity that formed the zone and helps visualize whether buying or selling pressure was more dominant during its creation.
The script also tracks how price interacts with existing zones after they form. When price fully breaks through a zone and later retests it, bullish or bearish retest signals are generated based on the direction of the breakout.
🟠 CONCEPTS
Swing Matching — Two swing highs or two swing lows must occur within a volatility-adjusted tolerance before a resistance or support zone is created.
Volatility-Adjusted Tolerance — The script uses the standard deviation of price over a lookback period to determine how close swing points must be to qualify as the same zone.
Support and Resistance Zones — Zones are built from the full price structure around matched swing points rather than from a single horizontal price level.
Volume Balance — Lower timeframe buying and selling volume is aggregated between the two swings that formed the zone to estimate directional participation.
Breakout Retest Logic — Price must first move completely beyond a zone, then close through it, and finally revisit the zone before a retest signal is confirmed.
🟠 FEATURES
Support and Resistance Zones — Highlights confirmed support and resistance areas formed from recurring swing lows and swing highs.
Volume Balance Display — Shows buy and sell volume balance bars inside each zone for visual participation analysis.
Retest Signals — Displays signals when price breaks above a zone and successfully retests it.
🟠 HOW TO USE
Watch for newly formed support and resistance zones to identify areas where price has repeatedly reacted.
Compare the buy/sell balance bars inside each zone to understand the volume profile that formed the level.
Look for bullish retest signals after price breaks above a resistance zone and returns to test it from above.
Look for bearish retest signals after price breaks below a support zone and returns to test it from below.
Use larger Time Horizon values to focus on major market structure and smaller values to detect more frequent zones.
Enable overlap prevention when you want fewer but more distinct zones on the chart.
Use alerts to monitor new zones and confirmed retest events without continuously watching the chart.
🟠 CONCLUSION
Support and Resistance Retest Breakout Signals combines volatility-adjusted zone detection, lower timeframe volume balance analysis, and breakout retest confirmation into a single workflow. It identifies areas where price has repeatedly reacted, measures the participation behind those areas, and tracks whether breakouts successfully hold during retests. This gives traders a structured view of support, resistance, and post-breakout behavior. Indicator
STWP Market MatrixOverview
STWP Market Matrix is a multi-factor market dashboard designed to consolidate several commonly used technical concepts into a single visual framework.
Most technical indicators focus on one aspect of market analysis, such as trend, volume, volatility, or support and resistance. STWP Market Matrix combines these factors into a structured dashboard so traders can evaluate market conditions from multiple perspectives without switching between several indicators.
The objective is not to generate buy or sell signals, but to provide a quick and organized view of trend direction, participation, relative strength, volatility conditions, and key market reference levels.
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Why This Indicator?
Market decisions are often influenced by multiple factors rather than a single indicator. A stock may show a bullish trend but weak participation, strong volume but poor relative strength, or favorable structure while trading below key reference levels.
STWP Market Matrix brings together:
• Trend Analysis (EMA Structure)
• VWAP Positioning
• Buyer vs Seller Participation
• Volume Assessment
• Market Structure Analysis
• Multi-Timeframe Confirmation
• Relative Strength vs NIFTY
• Daily Volume Context
• Pivot Reference Levels
• Volatility Assessment
into one dashboard to help users evaluate these conditions simultaneously.
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Dashboard Components
Trend
Trend is determined using Fast and Slow Exponential Moving Averages (EMA).
Bullish: Fast EMA above Slow EMA
Bearish: Fast EMA below Slow EMA
This provides a simple directional bias.
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VWAP
Displays whether price is trading above or below the Volume Weighted Average Price (VWAP).
VWAP is commonly used by traders to assess intraday strength and market positioning.
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Buyers & Sellers
These metrics evaluate the balance between bullish and bearish candle pressure.
The goal is to provide a simple visual indication of whether buyers or sellers currently have greater influence on price movement.
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Volume
Current volume is compared against average volume to identify participation levels.
Higher-than-average volume may indicate stronger market participation, while lower volume may suggest reduced activity.
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Market State
The indicator classifies market conditions into:
Breakout
Breakdown
Range
based on recent price structure and historical highs/lows.
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Price Structure
Price structure evaluates whether the market is producing:
Higher Highs and Higher Lows
Lower Highs and Lower Lows
Sideways Conditions
This provides additional context beyond simple trend analysis.
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Multi-Timeframe Alignment
The dashboard evaluates whether higher timeframe EMA conditions support the current chart timeframe.
This helps identify whether trends are aligned across multiple timeframes.
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Relative Strength (RS)
Relative Strength compares the selected symbol against the NIFTY Index.
Possible interpretations:
Outperforming
Underperforming
This helps identify whether a symbol is displaying relative leadership or weakness compared to the broader market.
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Daily Volume
Daily volume is compared against its historical average to provide additional participation context.
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Pivot Reference Framework
The dashboard includes classic pivot calculations based on the previous trading session's:
High
Low
Close
Displayed levels include:
Pivot
R1 to R5
S1 to S5
These levels are intended as objective reference zones that may help identify potential areas of support, resistance, reaction, or expansion.
The levels are not intended as price targets or predictions.
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STWP Matrix Panel
Grade
A composite score derived from:
Trend Alignment
VWAP Position
Volume Participation
Relative Strength
Multi-Timeframe Confirmation
Grades range from D to A+.
Higher grades indicate stronger alignment among the evaluated factors.
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Flow
Flow evaluates participation bias using candle position and volume behavior.
Possible states:
Accumulation
Distribution
Balanced
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Energy
Energy evaluates volatility conditions using:
Bollinger Band Width
Average True Range (ATR)
Possible states:
Building
Normal
Exploding
This can help identify periods of contraction and expansion.
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Risk
Risk provides a simplified assessment of current market conditions using momentum and volatility characteristics.
Possible states:
Low
Medium
High
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Opportunity
Opportunity summarizes overall market conditions based on the dashboard's underlying factors.
Possible states:
Excellent
Good
Average
Avoid
This metric is intended to provide context and should not be interpreted as a trading recommendation.
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Suggested Workflow
A possible workflow for using the dashboard:
Review Trend and VWAP alignment.
Evaluate Market State and Price Structure.
Check Relative Strength versus NIFTY.
Assess volume participation.
Review Pivot and Support/Resistance levels.
Evaluate Grade, Flow, Energy, Risk, and Opportunity readings.
Combine observations with personal analysis, trade planning, and risk management.
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Limitations
The indicator relies entirely on historical price and volume data.
Pivot levels are reference zones and not guarantees of future market reactions.
Relative Strength readings may vary across instruments and timeframes.
Market conditions can change rapidly during periods of elevated volatility.
No technical indicator can predict future price movement with certainty.
The dashboard should be used as an analytical aid rather than a standalone decision-making system.
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Disclaimer
This script is provided strictly for educational and informational purposes.
The indicator does not provide investment advice, research reports, trading recommendations, portfolio management services, or buy/sell calls.
All calculations are derived from historical price and volume data and are intended solely to assist technical analysis.
Users should conduct their own independent research, analysis, and risk assessment before making any trading or investment decisions.
Past performance does not guarantee future results. Financial markets involve risk, and losses may occur.
For users subject to SEBI regulations, this indicator should not be interpreted as a recommendation, solicitation, stock tip, investment advisory service, or research report.
Any trading or investment decision remains solely the responsibility of the user.
© Simple Trade With Patience (STWP)
Indicator
Nadaraya-Watson Regression Liquidity Sweeps [AlgoAlpha]🟠 OVERVIEW
This script combines Nadaraya-Watson regression, momentum analysis, and liquidity level tracking into a single workflow. It measures the slope of a smoothed price regression curve, converts that slope into a normalized oscillator, and uses momentum shifts to identify areas where liquidity may be resting.
The oscillator is built from the rate of change of the Nadaraya-Watson estimate rather than price itself. This allows momentum transitions to be measured relative to the underlying regression trend. When momentum weakens after an extended move, the script records swing-based liquidity levels that can later be swept by price.
A volatility-adjusted Nadaraya-Watson band is also displayed on the chart. This provides context for trend direction, momentum strength, and potential rebound conditions around the regression value.
🟠 CONCEPTS
Nadaraya-Watson Regression — A kernel-based smoothing method that estimates an underlying price curve by weighting nearby historical data more heavily than distant data.
Normalized Regression Slope — The change in the Nadaraya-Watson estimate divided by its recent standard deviation, allowing momentum strength to be compared across different market conditions.
Liquidity Sweep Level — A horizontal level created from a swing high or swing low when momentum begins to weaken, representing an area that may later attract price.
Oscillator Signal Line — An EMA of the normalized oscillator used to identify momentum crossovers and momentum phase changes.
Rebound Condition — A signal generated when price moves back through the Nadaraya-Watson value while oscillator direction remains aligned with the prevailing momentum bias.
🟠 FEATURES
Normalized Nadaraya-Watson Oscillator — Measures momentum using the slope of a smoothed regression curve.
Liquidity Sweep Detection — Creates liquidity levels when bullish or bearish momentum begins to weaken.
Volatility-Adjusted Regression Band — Displays a dynamic overlay around the Nadaraya-Watson estimate using smoothed ATR values.
Momentum Weakening Signals — Marks locations where oscillator momentum begins to lose strength against the current directional bias.
Rebound Signals — Highlights situations where price reclaims or loses the regression value while momentum remains aligned with trend direction.
🟠 HOW TO USE
Monitor the oscillator relative to its signal line to identify momentum shifts and changes in directional bias.
Watch for newly created liquidity levels after momentum weakening events, as these levels may become future sweep targets.
Use sweeps of upper or lower liquidity levels to identify areas where price has taken resting liquidity.
Look for bullish rebound signals when price reclaims the regression value while bullish momentum remains active.
Look for bearish rebound signals when price loses the regression value while bearish momentum remains active.
Combine oscillator direction, liquidity levels, and regression band structure to build context around trend continuation or reversal scenarios.
🟠 CONCLUSION
The Nadaraya-Watson Regression Liquidity Sweeps indicator combines regression-based momentum analysis, volatility-adjusted trend structure, and liquidity level tracking. By linking momentum transitions to swing-derived liquidity zones, it helps identify where liquidity may be forming and when it has been swept. This provides traders with additional context for trend analysis, pullbacks, and potential reversal areas. Indicator
