Premium and Discount Pivot Matrix [BigBeluga]Premium and Discount Pivot Matrix is an advanced market-structure terminal engineered for PulseWire. It maps macroeconomic structural equilibrium by tracking historical price extremes and calculating accurate institutional auction zones.
Instead of printing static linear channels, this framework uses an active multi-pivot state matrix to calculate premium ceiling and discount floor boundaries. It pairs these levels with a real-time 100-Bin Volume Profile Matrix plotted directly at the leading edge of the chart, providing immediate clarity on volume distribution relative to the market's fair-value equilibrium.
NSE:NIFTY
BINANCE:BTCUSDT
🔵 CHANNEL CALCULATION METHODOLOGY
The central core of the indicator relies on a multi-layered geometric calculation engine to establish its tracking bands. The engine follows a distinct three-step sequence to construct the structural matrix:
1. Multi-Pivot Array Extraction Engine
Asymmetric Window Scanning Nodes: The engine scans the chart for structural price peaks and troughs using an adjustable lookback window ( Pivot Left/Right Bars ). For a pivot to be verified, it must be the absolute highest or lowest value within that specified bar radius.
FIFO Array Storage Matrix: When a high pivot is logged, it is pushed into the highPivots array; low pivots are funneled into the lowPivots array. The script features memory guardrails ( Max Pivots to Track ) that automatically shift old elements out of memory, limiting array depth to prevent memory allocation drag.
// Manage Arrays via FIFO (First-In, First-Out) Storage Architecture
if not na(pHi)
array.push(highPivots, pHi)
if array.size(highPivots) > arraySize
array.shift(highPivots)
if not na(pLo)
array.push(lowPivots, pLo)
if array.size(lowPivots) > arraySize
array.shift(lowPivots)
2. Mathematical Boundary Selection
Premium Ceiling Isolation Grid: The terminal continuously runs an evaluation sweep across the active high memory array and extracts the absolute highest peak value using an optimized maximum tracking filter node. This serves as the outer resistance band.
Discount Floor Isolation Grid: Concurrently, the engine sweeps the active low memory array to extract the absolute lowest trough value, setting the hard outer support band floor.
Step-Line Price Plotting Framework: Because it selects the maximum high and minimum low of a rolling historical lookback set, the boundaries plot on your canvas as clean, structural step-lines. These lines only shift when a new macro extreme is logged or when an older extreme drops out of the tracking array.
3. Dynamic Equilibrium Tracking State Machine
Fair Value Midline Matrix: The Equilibrium Midline represents the exact mathematical center of the active trading channel. It calculates the mid-point price by taking the average of the resistance ceiling and support floor arrays.
Structural Shifting Trend Cloud Filters: This midline acts as a real-time tracker for the value center of the asset. The internal state machine monitors this line on every tick and applies dynamic visual treatments: it flashes the Midline Rising Color when the value structure is shifting upward, and instantly mutates to the Midline Falling Color when structural value drops downward.
// Extract Channel Levels
float resistance = na
float support = na
if array.size(highPivots) > 0
resistance := array.max(highPivots)
if array.size(lowPivots) > 0
support := array.min(lowPivots)
// Calculate Midline
float midline = not na(resistance) and not na(support) ? (resistance + support) / 2 : na
🔵 CORE STRUCTURAL LAYOUT FEATURES
1. 100-Bin Volume Profile Distribution Matrix
Intra-Channel Grid Binning Engine: When enabled ( Show Volume Profile at Channel End? ), the indicator runs a localized calculation over a specified historical range ( Volume Profile Lookback ). It divides the vertical space between the resistance ceiling and support floor into 100 equal vertical bins .
Adaptive Transparency Histogram Blocks: It calculates the exact volume distribution for each candle across these bins, scaling the horizontal width of the resulting histogram bars ( Volume Profile Max Width ). Premium distribution bars (above the midline) use an automatic gradient that gets brighter near the resistance ceiling to flag overextended premium supply. Discount distribution bars (below the midline) flash brighter near the support floor to highlight historical institutional accumulation blocks.
2. Volumetric Breakdown & Reversal Markers
Boundary Breach Telemetry Glyphs: The terminal closely monitors interactions with the channel boundaries. If a candle breaks completely out of the rolling step-line range, it triggers high-visibility telemetry circle shapes directly on the chart canvas (Bullish Reversal on downward breaks, Bearish Reversal on upward crosses).
Time-Index Signal Buffer Guards: To prevent messy clutter, the script suppresses repetitive signals using a strict index tracking buffer rule. When a valid breach is confirmed, it stamps the signal with clean text labels tracking the exact transaction volume traded during the breakout bar.
// 100 Bin Volume Profile Matrix Execution snippet
int binsCount = 100
float channelRange = resistance - support
float binStep = channelRange / binsCount
array binVolumes = array.new_float(binsCount, 0.0)
array binHighs = array.new_float(binsCount, 0.0)
array binLows = array.new_float(binsCount, 0.0)
for i = 0 to binsCount - 1 by 1
array.set(binLows, i, support + i * binStep)
array.set(binHighs, i, support + (i + 1) * binStep)
🔵 SYSTEMATIC EXECUTION STRATEGIES & RISK INTERPRETATION
Premium Zone Reversals: When an asset rallies into the upper channel gradient, enters the PREMIUM zone, and tests the resistance ceiling, monitor the 100-Bin Volume Profile. If the profile shows fading volume bars at the highs, look for short setups targeting a mean-reversion move back down to the Equilibrium Midline.
Discount Value Accumulation Trim: When price action drops into the DISCOUNT zone and approaches the channel floor, check the volume profile. Heavy volume concentration at these lows confirms strong institutional interest. Look for long positions here, using the step-line support floor as a strict trade invalidation level.
Equilibrium Breakout Continuations: Watch the behavior of the asset when the Equilibrium Midline shifts color. A sharp upward shift in the midline accompanied by a validated volume expansion signature suggests a structural trend shift, opening up long continuation options up to the premium line.
🔵 INTERFACE CONFIGURATION AND PARAMETERS
Pivot Structure Configuration Blocks: Adjust left/right bar strengths and internal array memory slots to optimize the indicator for short-term swing scalping or long-term macro trend tracking.
Volume Profile Matrix Settings: Fine-tune lookback depths and maximum bar widths to scale the volume profile layout for any financial asset class or chart timeframe.
Styling & Visual Aesthetics Overrides: Fully customize colors for rising structures, falling boundaries, interior gradient fills, and background profiles to integrate seamlessly with your preferred light or dark charting interface.
Transform your charting layout from traditional linear indicators into a highly automated, volume-anchored volatility tracking network with the Premium and Discount Pivot Matrix terminal. Indicator
[Kpt-Ahab] Poor Man's Orderflow Simple AlgoPilotImportant Notice and Risk Warning
The published settings were selected solely based on historical data for the asset and timeframe shown.
The displayed result may be random or over-optimized and cannot automatically be transferred to other assets, timeframes, or future market conditions. Even with the presented settings, the strategy may cause significant losses at any time, including the complete loss of the allocated strategy capital.
This script is intended exclusively for analysis and testing purposes. It does not constitute investment advice or a trading recommendation.
Description
This script uses reused and adapted code components from ** Auto RiskManagement & Backtest System 2.1b** and the ** Poor Mans Orderflow Simulator **.
These components have been combined into a standalone strategy that integrates simplified orderflow signals with position management, risk management, and backtesting functions.
How It Works
The strategy uses a simplified approximation of orderflow. It evaluates the relationship between candle body size and candle range, relative volume, candle direction, and recurring absorption and impulse events.
It does not use actual bid/ask, footprint, Level 2, or order book data.
Depending on the selected signal mode, direct breakouts, confirmed absorption clusters, impulse candles, or combinations of these conditions may generate long and short signals.
Position and Risk Management
The script supports, among other features:
* Long and short positions
* Fixed or trailing stop-loss levels
* Multiple partial profit targets
* Breakeven after the first profit target
* Optional additional entries
* Further entries may also be disabled after the specified total number of losing trades has been reached or when the maximum permitted drawdown is exceeded.
* Internal or external trading signals
* Automatic parameters based on asset class and timeframe
Additional entries and simulated leverage may significantly increase the risk of loss.
Backtest Limitations
Strategy Tester results are based exclusively on historical market data. Real-world results may differ significantly due to commissions, spreads, slippage, liquidity, price gaps, and execution delays.
Past performance is not a reliable indication of future results.
Position Closing Settings
The **Open Position Signals** setting determines how new signals are handled while a position is already open:
* **Wait-End-Deal:** All indicator signals are ignored until the current position has ended.
* **Wait-Signal-Close:** Only explicit signals for closing a long or short position are processed.
* **Wait-Reversal:** An opposing entry signal may also close the current position.
Several closing conditions are available for the integrated orderflow logic. For example, a position may be closed by an opposing impulse, a combination of a cluster and an impulse, or a confirmed opposing entry signal.
Further trading may also be restricted after a specified number of losing trades or when the maximum permitted drawdown is reached.
Trailing Stop, Breakeven, and Liquidation Line
The strategy supports both a fixed stop-loss and a trailing stop. The selected percentage represents the direct price distance from the average entry price and is not automatically adjusted by the simulated leverage.
In trailing mode, the stop is only moved in a direction that is favorable to the position. If the average entry price changes due to an additional entry, the existing stop is adjusted accordingly.
The stop may optionally be moved to the average entry price after the first profit target has been reached. A stop mode must be enabled for this function to operate.
The displayed liquidation line is only an internal estimate based on the simulated position and account values. It may differ significantly from the actual liquidation calculation used by a broker or exchange.
Using External Indicators
An external numerical signal source may be used instead of the integrated Poor Man’s Orderflow Simulator.
The external indicator must provide a selectable plot series containing the following values:
* **+1:** Long or buy signal
* **−1:** Short or sell signal
* **+2:** Close short position
* **−2:** Close long position
All other values, including `na`, produce no new signal.
The external indicator must output the required numerical values through a selectable plot. This plot can then be selected under **External Source**.
Whether and how an external signal is processed while a position is open also depends on the selected **Open Position Signals** setting.
-----------------------------------
Wichtiger Hinweis und Risikowarnung
Die veröffentlichten Einstellungen wurden ausschließlich anhand historischer Daten für das dargestellte Asset und den verwendeten Zeitrahmen gewählt.
Das Ergebnis kann zufällig oder überoptimiert sein und lässt sich nicht automatisch auf andere Assets, Zeitrahmen oder zukünftige Marktphasen übertragen. Auch mit den dargestellten Einstellungen kann die Strategie jederzeit erhebliche Verluste verursachen und das eingesetzte Strategiekapital vollständig verlieren.
Dieses Skript dient ausschließlich zu Analyse- und Testzwecken und stellt keine Anlageberatung oder Handelsempfehlung dar.
Beschreibung
Dieses Skript verwendet wiederverwendete und angepasste Codebestandteile aus Auto RiskManagement & Backtest System 2.1b und dem Poor Mans Orderflow Simulator .
Die Komponenten wurden zu einer eigenständigen Strategie verbunden, die vereinfachte Orderflow-Signale mit Positions-, Risiko- und Backtestfunktionen kombiniert.
Funktionsweise
Die Strategie verwendet eine vereinfachte Annäherung an Orderflow. Sie wertet das Verhältnis von Kerzenkörper und Handelsspanne, relatives Volumen, Kerzenrichtung sowie wiederkehrende Absorptions- und Impulsereignisse aus.
Dabei werden keine echten Bid-/Ask-, Footprint-, Level-2- oder Orderbuchdaten verwendet.
Abhängig vom gewählten Signalmodus können direkte Ausbrüche, bestätigte Absorptionscluster, Impulskerzen oder Kombinationen dieser Bedingungen Long- und Short-Signale erzeugen.
Positions- und Risikomanagement
Das Skript unterstützt unter anderem:
Long- und Short-Positionen
feste oder nachlaufende Stop-Loss-Marken
mehrere Teilgewinnziele
Breakeven nach dem ersten Gewinnziel
optionale zusätzliche Einstiege
Drawdown-Begrenzung und Begrenzung nach einer festgelegten Anzahl an Verlusttrades
interne oder externe Handelssignale
automatische Parameter nach Assetklasse und Zeitrahmen
Zusätzliche Einstiege und ein simulierter Hebel können das Verlustrisiko deutlich erhöhen.
Einschränkungen des Backtests
Die Ergebnisse des Strategietesters basieren ausschließlich auf historischen Kursdaten. Reale Ergebnisse können durch Gebühren, Spread, Slippage, Liquidität, Kurslücken und Ausführungsverzögerungen erheblich abweichen.
Vergangene Ergebnisse sind kein verlässlicher Hinweis auf zukünftige Ergebnisse.
Schließungseinstellungen
Über **Open Position Signals** wird festgelegt, wie neue Signale während einer bereits geöffneten Position behandelt werden:
* **Wait-End-Deal:** Alle Indikatorsignale werden bis zum Ende der Position ignoriert.
* **Wait-Signal-Close:** Nur ausdrückliche Signale zum Schließen einer Long- oder Short-Position werden berücksichtigt.
* **Wait-Reversal:** Zusätzlich kann ein entgegengesetztes Einstiegssignal die aktuelle Position schließen.
Für die integrierte Orderflow-Logik stehen verschiedene Schließungsbedingungen zur Verfügung. Eine Position kann beispielsweise durch einen gegensätzlichen Impuls, eine Kombination aus Cluster und Impuls oder ein bestätigtes entgegengesetztes Einstiegssignal geschlossen werden.
Zusätzlich kann der weitere Handel nach einer festgelegten Anzahl an Verlusttrades oder beim Erreichen des maximal erlaubten Drawdowns begrenzt werden.
Trailing-Stop, Breakeven und Liquidationslinie
Die Strategie unterstützt einen festen Stop-Loss sowie einen nachlaufenden Trailing-Stop. Der eingestellte Prozentwert beschreibt dabei den direkten Abstand zum durchschnittlichen Einstiegspreis und wird nicht automatisch durch den simulierten Hebel verändert.
Im Trailing-Modus wird der Stop nur in eine für die Position günstigere Richtung nachgezogen. Verändert sich der durchschnittliche Einstiegspreis durch einen zusätzlichen Einstieg, wird auch der bestehende Stop entsprechend angepasst.
Optional kann der Stop nach dem Erreichen des ersten Gewinnziels auf den durchschnittlichen Einstiegspreis verschoben werden. Hierfür muss ein Stop-Modus aktiviert sein.
Die angezeigte Liquidationslinie ist lediglich eine interne Schätzung auf Basis der simulierten Positions- und Kontowerte. Sie kann deutlich von der tatsächlichen Liquidationsberechnung eines Brokers oder einer Börse abweichen.
Verwendung externer Indikatoren
Anstelle des integrierten Poor-Man’s-Orderflow-Simulators kann eine externe numerische Signalquelle verwendet werden.
Hierfür muss der externe Indikator eine auswählbare Plot-Serie mit den folgenden Werten ausgeben:
* **+1:** Long- beziehungsweise Kaufsignal
* **−1:** Short- beziehungsweise Verkaufssignal
* **+2:** Short-Position schließen
* **−2:** Long-Position schließen
Bei allen anderen Werten oder bei `na` wird kein neues Signal ausgeführt.
Der externe Indikator muss die benötigten Zahlenwerte direkt über einen auswählbaren Plot bereitstellen. Anschließend wird dieser Plot unter **External Source** ausgewählt.
Ob und wie ein externes Signal während einer geöffneten Position verarbeitet wird, hängt zusätzlich von der gewählten Einstellung unter **Open Position Signals** ab. Strategy
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
Prop Key Levels & Order Blocks - Buy Sell Signals with TP/SLA complete intraday trading suite built around one idea: the decision candle.
Instead of guessing where price might turn, the script marks the exact candles
where the market already made a decision, and then tells you what happened when
price came back to them.
Everything is evaluated on closed bars. Printed signals never move.
━━ WHAT IT DRAWS ━━
MAJOR KEY DETECTION
The origin candle of an impulsive displacement leg. Its body becomes a level
that extends to the right. Green for bullish decisions, red for bearish ones.
When price closes clean through a key, the level is greyed out — it failed, and
you can see that it failed. The detection level (1–100) sets how far price must
travel out of a candidate before it is accepted, so you can go from "every small
turn" to "only the moves that really expanded".
MAJOR ORDER BLOCKS
The last opposing candle before a structural break. Drawn as a box that survives
until price closes through it.
TREND DETECTION
A volatility-scaled trailing line under price, green while bullish and red while
bearish. It is the filter one of the two entry engines uses, and a weighted
component of the other.
ORDER POOL
Price levels that were rejected repeatedly and still hold unfilled resting
orders. Each pool is parked as an arrow at the right edge of the chart. You
decide what happens once price trades through one: remove it (the orders are
spent) or keep it dimmed, so you can still trade the reaction after the sweep.
SMART FVGS
Three-candle imbalances, filtered by a minimum size so the chart is not buried
under meaningless micro-gaps.
━━ THE ENTRY ENGINE ━━
Two independent algorithms, selectable in the settings.
PROP MODE — conservative. A signal needs the trend filter, a key level or order
block, and a confirmation candle to agree, and price must not already be
extended. Fewer trades, built for accounts where a handful of clean entries
beats constant activity.
AI-MODE — adaptive. Trend, momentum, key level, order block, pool sweep, fair
value gap and candle quality each contribute a weighted score. The engine fires
when the combined score clears a threshold you control, so it also takes the
reversals the conservative mode filters away.
Every entry comes with three take profits (Minor, Major, Highest) and a stop.
All four are expressed in volatility units — one unit is the ATR at the signal
bar — so the distances breathe with the market instead of being a fixed point
value that is wrong on half the days.
The reward box, the risk box and the projection line are drawn forward from the
entry, so one glance tells you whether the trade is worth taking. Hover any
signal badge to read why it fired and every price it produced.
━━ COOLDOWN ━━
After a signal, the engine mutes itself for a configurable number of bars. This
is what stops it from firing ten entries into the same move — the single
fastest way to run into a daily loss limit.
━━ DASHBOARDS ━━
A trade metrics table in the corner lists the live entry, all three targets, the
stop, the reward-to-risk and the cooldown state — the numbers you copy into your
order ticket.
A cockpit panel shows the live checklist (trend, key level, order block, pool
sweep, candle, cooldown), the running position, and a hit count across the whole
loaded history: how often each target was reached and how often the stop came
first.
━━ ALERTS ━━
Entry, take-profit hit and stop hit, as readable text or as a JSON object
carrying side, entry, all three targets, the stop and the reward-to-risk — the
format execution bridges expect.
━━ SETTINGS ━━
① Engine Control — strategy type, score threshold, cooldown, metrics table
② Trade Config — Minor / Major / Highest TP, SL, volatility unit
③ Insight Matrix — key detection and its level, order blocks, trend
④ Orderflow & Smart FVGs — order pool, touch count, tolerance, fill handling
⑤ Visuals — theme, candle colouring, boxes, price lines, panel, drawing budget
⑥ Alerts — what to fire and in which format
Every input carries a tooltip explaining what it does and what changes when you
move it.
━━ NOTES ━━
Designed for intraday work on index CFDs, gold and FX. The defaults were set up
on 1- to 15-minute charts; on higher timeframes raise the cooldown and the key
detection level.
This is an analysis tool, not financial advice. Past behaviour of any level or
signal says nothing about future results. Test any configuration on your own
instrument and timeframe before trading it. 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
[JOAT] Apex Flow EngineApex Flow Engine
A volatility-adaptive trend-flow engine that only signals when the move has measurable quality behind it.
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◆ WHAT IT IS
Apex Flow Engine tracks the market's underlying flow — the direction price is genuinely travelling once noise is stripped out — and grades every potential entry against a transparent Flow Quality score before a signal is ever printed. It is built to keep a chart clean while still giving a full trade framework: entry, stop, and three take-profit targets.
This is 100% original code. It does not reuse or repackage anyone else's script.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
◆ HOW IT WORKS
1. The Flow Baseline. Instead of a fixed moving average, the baseline is an efficiency-weighted adaptive average . It measures how much net directional travel price achieved versus how much raw movement it burned to get there (an efficiency ratio). When price moves cleanly, the baseline speeds up and hugs price; when price chops sideways, it slows and flattens. This keeps the reference honest in both trending and ranging conditions.
2. The Flow Envelope. An ATR-scaled band is wrapped around the baseline. A flow flip is only registered when price closes beyond the opposite band for a configurable number of confirmation closes — this filters the marginal pokes that create false flips on lower timeframes.
3. The Flow Quality score (0–100). Every flip is scored on four independent components before it becomes a signal:
• Momentum alignment — is momentum pushing in the flip direction
• Volume pulse — is participation expanding versus its own average
• Candle structure — did the trigger candle close with a decisive body
• Efficiency — how clean the underlying move is
A signal fires only if the score meets your minimum threshold, so weak, low-conviction flips are skipped.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
◆ WHAT YOU SEE
• BUY / SELL labels carrying the live Quality score plus an efficiency and volume read at the moment of the signal
• A full TP/SL framework on every signal — entry line, stop-loss, TP1 / TP2 / TP3, and shaded risk/reward zones — that automatically stops updating once the stop or the furthest target is reached
• An optional gradient flow ribbon whose intensity scales with Quality, and three candle-coloring styles (Gradient, Solid, Two-Tone)
• A resizable command dashboard with block-meter gauges for Quality, Efficiency, Volume, Body and Stretch, plus live position and stop readouts
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
◆ HOW TO USE IT
• Trade in the direction of the current Flow State . Treat higher-Quality signals as higher-conviction.
• The Stretch (ATR) reading shows how far price has extended from the baseline — large values warn that a pullback may be near before entering late.
• Use the built-in SL and TP levels as a structured plan, or as a reference for your own risk model.
• Works on all symbols and all timeframes. Raise the confirmation closes and minimum Quality on fast intraday charts for fewer, cleaner signals.
◆ SETTINGS THAT MATTER
• Flow Baseline Length / Acceleration — responsiveness of the core
• Envelope Width + Confirmation Closes — how strict a flip must be
• Minimum Quality Score — the signal gate
• TP/SL group — ATR or percent stops, and independent R:R per target
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◆ NOTES & LIMITATIONS
Apply the indicator to standard candlestick charts . Signals are decision-support tools that describe current conditions — they are not financial advice and no indicator can predict the future or guarantee an outcome. Always combine with your own analysis and risk management.
— made with passion by officialjackofalltrade
Indicator
Adaptive Trend Ensemble [BackQuant]Adaptive Trend Ensemble
Overview
Adaptive Trend Ensemble is an online-learning trend filter that combines eight different moving-average methods into one continuously weighted trend estimate.
Instead of selecting one moving average permanently, the indicator treats each method as an independent forecasting expert. Every bar, each expert is evaluated according to whether its previous slope correctly anticipated the direction of the latest price move.
Experts that were directionally correct retain more influence. Experts that were wrong lose influence through a multiplicative penalty. The weights are then normalised and used to blend all eight moving-average values into one adaptive ensemble line.
The indicator therefore attempts to answer two separate questions:
Which smoothing method has recently aligned best with price direction?*
How strongly do the weighted methods currently agree on the direction of trend?
The final output includes:
A dynamically weighted ensemble trend line.
Bullish and bearish trend-state colouring.
A gradient between price and the ensemble.
A consensus-driven glow.
Trend-coloured candles.
A live label showing the leading expert and its current weight.
Alerts when the ensemble trend changes direction.
This is not a fixed moving average and it is not a simple average of several indicators. The contribution of each expert changes over time according to its recent directional performance.
Core idea
Moving averages respond differently to the same market.
A Hull Moving Average may respond quickly during a sharp transition, while an RMA may remain stable through temporary noise. A linear-regression estimate may follow a smooth directional move well, while a conventional EMA may perform better during a more ordinary trend.
No individual smoothing method is consistently superior across every environment.
Markets alternate between:
Persistent trends.
Fast breakouts.
Slow directional drift.
Volatile reversals.
Compressed ranges.
Noisy transitions.
A fixed indicator cannot change its mathematical personality when the environment changes. It continues using the same weighting structure regardless of whether that structure currently suits the market.
Adaptive Trend Ensemble addresses this by maintaining a bank of different smoothing methods and changing their influence through time.
The model does not attempt to decide in advance which method is best. It allows recent realised price action to determine which experts should currently receive more weight.
Prediction with expert advice
The indicator is based on a class of online-learning methods commonly described as:
Prediction with Expert Advice
In this framework:
Several experts produce predictions.
The actual outcome is observed.
Each expert receives a loss based on its prediction.
Expert weights are updated.
The combined model places more influence on better-performing experts.
The term “expert” does not imply that each method is intelligent by itself. An expert is simply an individual forecasting rule.
In this indicator, the eight experts are eight moving-average methods.
The model uses a multiplicative-weights process closely related to the Hedge and Weighted Majority families of online-learning algorithms.
The central principle is:
Do not commit permanently to one model.
Track several models simultaneously.
Reduce the weight of models that make mistakes.
Allow the combined forecast to adapt as relative performance changes.
Online learning
The model learns sequentially, one bar at a time.
It does not train on a separate historical dataset and then freeze its parameters.
At each new bar:
The previous slope of each moving average is treated as that expert's prediction.
The realised close-to-close direction is observed.
Each expert receives a loss.
Weights are updated multiplicatively.
Weights are normalised.
The current expert values are blended using the new weights.
This makes the process online and adaptive.
The weight state is carried forward from bar to bar, meaning the current ensemble reflects the accumulated results of earlier expert decisions.
The expert bank
The ensemble contains eight moving-average experts:
Simple Moving Average - SMA*
Exponential Moving Average - EMA
Weighted Moving Average - WMA*
Hull Moving Average - HMA
Double Exponential Moving Average - DEMA*
Running Moving Average - RMA
Arnaud Legoux Moving Average - ALMA*
Least-Squares Moving Average - LSMA
All experts use the same Base Length.
This is important because it keeps their nominal observation horizon comparable. The ensemble is comparing different mathematical treatments of approximately the same lookback rather than comparing completely unrelated time horizons.
Even with an identical length, the experts behave differently because they assign weight to historical observations in different ways.
Simple Moving Average - SMA
The SMA applies equal weight to every observation inside the selected window.
Its general form is:
SMA = Sum of observations / Number of observations
The SMA is stable and easy to interpret, but every included observation has the same importance.
This can make it slower to react when a new trend begins because older prices continue to influence the average until they leave the window.
Within the ensemble, the SMA acts as a neutral equal-weight baseline.
Exponential Moving Average - EMA
The EMA assigns progressively greater weight to recent observations.
Its recursive form is based on:
EMA = α × Current Price + (1 - α) × Previous EMA
where α is determined by the selected length.
Compared with an SMA of the same length, an EMA generally responds more quickly to recent movement.
Its recursive weighting makes it useful during ordinary directional markets, although it can still turn repeatedly when price oscillates in a range.
Weighted Moving Average - WMA
The WMA assigns linearly increasing weight to more recent observations.
For example, in a simplified four-period WMA, the newest value receives four units of weight, while the oldest receives one.
This makes the WMA more responsive than an equal-weight SMA while retaining a finite lookback window.
Within the ensemble, it provides a direct recency-weighted alternative to the exponential behaviour of the EMA.
Hull Moving Average - HMA
The Hull Moving Average was designed to reduce lag while preserving a relatively smooth output.
Its construction combines weighted moving averages over different horizons, applies a lag-compensation step, and then smooths the result over approximately the square root of the original length.
Conceptually:
Calculate a faster WMA.
Calculate a slower WMA.
Use their difference to compensate for lag.
Smooth the compensated result.
The HMA often reacts quickly to changes in trend direction.
That responsiveness can make it valuable during strong transitions, but it may also make it more sensitive to short-term oscillation.
Double Exponential Moving Average - DEMA
Despite its name, DEMA is not simply an EMA calculated twice.
Its general construction is:
DEMA = 2 × EMA - EMA of EMA
The second EMA estimates some of the lag in the first EMA. Subtracting it attempts to create a smoother with less delay.
DEMA can respond quickly to directional changes, although reduced lag may also increase sensitivity during unstable conditions.
Running Moving Average - RMA
RMA is commonly associated with Wilder-style smoothing.
It uses a slower recursive update than a typical EMA of the same nominal length.
Its general form places substantial influence on the previous RMA value, producing a persistent and stable estimate.
The RMA expert often changes direction less aggressively than the faster methods.
Within the ensemble, it acts as one of the more conservative smoothing models.
Arnaud Legoux Moving Average - ALMA
ALMA applies a Gaussian-style weighting curve across the observation window.
The weighting distribution can be shifted toward more recent observations while maintaining a smooth bell-shaped profile.
The script uses a recent-weighted offset and a fixed Gaussian width.
ALMA attempts to balance:
Smoothness.
Reduced lag.
Controlled weighting of the observation window.
It provides a different weighting structure from the linear, exponential and lag-compensated experts.
Least-Squares Moving Average - LSMA
The LSMA is based on linear regression.
Instead of averaging historical prices directly, it fits a straight line through the selected window and evaluates the regression estimate at the current bar.
The method attempts to represent the local directional path of price.
LSMA can follow smooth trends closely because it models slope explicitly. However, it may respond strongly when the local regression direction changes abruptly.
Within the indicator, the LSMA is produced using the rolling linear-regression output.
Base Length
The Base Length is shared by all eight experts.
Lower values:
Make every expert more responsive.
Increase sensitivity to short-term changes.
Produce faster weight and trend changes.
Increase the possibility of whipsaws.
Higher values:
Create smoother expert outputs.
Focus the ensemble on broader trend structure.
Reduce short-term changes.
Increase lag during sudden reversals.
Because all experts share the same length, changing this setting adjusts the entire ensemble horizon.
It does not change the number of experts or their relative starting weights.
Expert predictions
The model evaluates each expert using the direction of its slope.
For each moving average:
Rising slope is represented as +1.
Falling or non-rising slope is represented as -1.
To evaluate the latest completed move, the script uses the expert's slope from the previous bar.
For example:
If the expert was rising from two bars ago to the previous bar, it predicted a positive current move.
If the expert was falling, it predicted a negative current move.
The realised outcome is determined from the current close relative to the previous close:
Close above previous close = positive realised direction.
Close below previous close = negative realised direction.
Unchanged close = zero realised direction.
The model therefore scores directional slope prediction, not the numerical distance between each moving average and price.
An expert is rewarded for getting direction right, even if its plotted value is relatively far from the market.
Likewise, an expert is penalised for getting direction wrong even if its line remains visually close to price.
Loss functions
The indicator provides two loss functions:
Directional 0/1*
Magnitude-weighted
The selected loss determines how strongly incorrect experts are penalised.
Correct experts receive zero loss under both modes.
Directional 0/1 loss
Directional mode treats every incorrect prediction equally.
The loss is:
0 when the expert predicted the realised direction correctly.
1 when the expert predicted incorrectly.
This means that an incorrect prediction on a very small move receives the same loss as an incorrect prediction on a large move.
Directional mode answers a simple question:
Was the expert right or wrong?
It does not consider how important the move was.
This mode can produce consistent learning because every directional observation is treated equally, but it may respond to small and insignificant price changes as strongly as major moves.
Magnitude-weighted loss
Magnitude-weighted mode scales the penalty according to the size of the realised move.
The move is normalised using ATR:
Move = Absolute close-to-close change / ATR
The ATR uses the shared Base Length.
The incorrect expert's loss becomes:
Loss = Normalised Move
with the magnitude capped at 3.
The cap prevents a single extreme bar from creating an unlimited penalty.
This mode gives greater importance to mistakes during large movements.
For example:
An incorrect expert during a 0.10 ATR move receives a small penalty.
An incorrect expert during a 1.00 ATR move receives a larger penalty.
An incorrect expert during a move above 3 ATR receives the capped penalty of 3.
Magnitude-weighted mode answers:
How costly was the directional mistake relative to current volatility?
This can make the ensemble adapt more strongly after significant movements while paying less attention to small fluctuations.
Flat price bars
If the current close is unchanged from the previous close, the realised direction is zero.
Because expert directions are encoded as either positive or negative, no expert can exactly match a zero realised direction.
Under Directional mode, all experts receive the same incorrect classification.
Because every weight is multiplied by the same penalty factor, their relative weight distribution remains effectively unchanged after normalisation.
Under Magnitude-weighted mode, the realised move is zero, so the resulting penalty is also zero.
In both cases, a completely flat close-to-close bar does not materially change the relative ranking of the experts.
Multiplicative weight update
Each expert begins with an equal weight:
Initial Weight = 1 / 8
After the loss is calculated, the weight is updated using:
New Unnormalised Weight = Old Weight × exp(-η × Loss)
where η is the Learning Rate.
This is the central Hedge or multiplicative-weights update.
Correct experts have zero loss:
exp(-η × 0) = 1
Their unnormalised weight is unchanged.
Incorrect experts have a positive loss, so their weight is multiplied by a value below one.
For example, in Directional mode with a Learning Rate of 2:
Incorrect Weight Multiplier = exp(-2) ≈ 0.135
An incorrect expert retains only about 13.5% of its previous unnormalised weight before the weight set is normalised again.
This does not mean its final displayed weight will necessarily fall by exactly 86.5%, because all expert weights are subsequently rescaled so they sum to one.
Why multiplicative updates are used
An additive system might subtract a fixed quantity from each incorrect expert.
That can create problems:
Weights can become negative.
The same penalty has a different effect on large and small weights.
The model may not adapt proportionally.
A multiplicative update preserves non-negative weights and penalises experts proportionally to their current influence.
It also allows the distribution to become concentrated around consistently successful methods.
Learning Rate - η
The Learning Rate controls how aggressively the ensemble shifts weight after mistakes.
Higher values:
Penalise incorrect experts more strongly.
Move influence rapidly toward recent winners.
Can produce winner-take-all behaviour.
Can make the leader change abruptly after a few important bars.
Lower values:
Produce gradual weight changes.
Keep the expert distribution more diversified.
Reduce sensitivity to short-term performance.
Make the model slower to adapt.
The Learning Rate does not change the moving averages themselves. It changes only how quickly their relative influence evolves.
High Learning Rate behaviour
At high settings, a wrong expert may lose most of its weight after one or two mistakes.
This can be beneficial when one smoothing method is clearly better suited to the current regime.
It can also create instability:
A recent winner can dominate the ensemble.
A temporary performance streak can cause excessive concentration.
The model can switch leaders quickly when conditions reverse.
Low Learning Rate behaviour
At low settings, the ensemble behaves more like a slowly adapting average of the expert bank.
No single observation dramatically changes the distribution.
This produces smoother adaptation, but a poorly suited expert may retain substantial influence for longer.
Weight normalisation
After all expert weights are updated, they are normalised:
Normalised Weight = Expert Weight / Sum of All Expert Weights
This ensures that the complete weight set sums to one.
The weights can then be interpreted as each expert's share of the ensemble.
For example:
A 25% weight means that expert contributes one quarter of the weighted output.
A 5% weight means its current influence is relatively small.
The weights are not probabilities that the experts will be correct on the next bar.
They are adaptive influence coefficients based on accumulated relative loss.
Weight Floor
The optional Weight Floor preserves a minimum allocation for every expert.
After normalisation, the adjusted weight is calculated so that:
Every expert receives at least the selected floor.
The remaining weight is distributed according to the normalised Hedge weights.
The full set continues to sum to one.
For eight experts, a floor of 0.01 reserves at least 1% for each expert.
This assigns:
A minimum combined mass of 8%.
The remaining 92% according to relative performance.
A floor of 0.05 reserves at least 5% for each of the eight experts, using 40% of the total distribution as minimum allocations.
The remaining 60% is distributed according to current performance.
Why use a floor?
Without a floor, repeatedly incorrect experts can approach a weight extremely close to zero.
Because the update only reduces weights after losses, an expert with almost no weight may require a long period of relative outperformance before it becomes influential again.
A positive floor keeps all methods alive.
This allows an expert that performed poorly in the previous regime to recover more quickly when the market environment changes.
Weight Floor set to zero
With a zero floor:
The model is free to concentrate almost entirely in one expert.
Recent winners can dominate strongly.
The ensemble can become highly specialised.
This produces the purest multiplicative-weights behaviour but increases the risk of weight collapse.
Positive Weight Floor
With a positive floor:
The expert bank remains diversified.
Cold experts retain some influence.
The model can recover more easily after regime changes.
The leading expert's maximum possible weight is reduced.
The floor therefore controls the balance between specialisation and diversity.
Ensemble output
After the weight update, the current values of the eight experts are blended:
Ensemble = Sum of Expert Weight × Expert Value
This is a weighted average in which the weights are determined by online directional performance.
If the HMA currently has the greatest weight, the ensemble will behave more like the HMA.
If the RMA and SMA dominate, the output will become smoother and more conservative.
If the weights are distributed evenly, the line represents a broad blend of all eight methods.
The output can therefore change its effective smoothing behaviour without changing the user-selected Base Length.
Line Smoothing
The weighted ensemble may be passed through an optional EMA for visual smoothing.
A setting of 1 effectively disables this additional stage.
Higher settings:
Create a smoother displayed line.
Reduce small slope changes.
Delay bullish and bearish flips.
This smoothing is cosmetic in the sense that it occurs after the online expert weighting.
It does not affect:
Expert predictions.
Expert losses.
Weight updates.
Consensus.
Leader selection.
It does affect the final plotted line and the trend state derived from that line.
Trend state
Trend direction is determined from the slope of the smoothed ensemble line.
If the line is above its previous value, trend becomes bullish.
If the line is below its previous value, trend becomes bearish.
If the line is unchanged, the previous trend persists.
This creates a persistent two-state regime.
A bullish flip occurs when the trend changes from bearish to bullish.
A bearish flip occurs when it changes from bullish to bearish.
The trend state is based on the ensemble's slope, not on price crossing the ensemble.
Price may be above or below the line without immediately changing its direction.
Consensus calculation
The indicator calculates a separate weighted directional vote.
Each expert's current slope direction is multiplied by its current weight:
Weighted Vote = Sum of Weight × Direction
Because each direction is either +1 or -1 and the weights sum to one, the vote lies between -1 and +1.
Examples:
+1 means all meaningful weight is assigned to rising experts.
-1 means all meaningful weight is assigned to falling experts.
0 means bullish and bearish weighted influence is evenly balanced.
The displayed consensus strength is:
Consensus Strength = Absolute Value of Weighted Vote
This converts the result to a range from zero to one.
0% means the weighted expert bank is evenly divided.
100% means the weighted influence is entirely aligned in one direction.
Weighted consensus versus expert count
Consensus is not calculated by simply counting how many of the eight experts are rising.
An expert with a 40% weight contributes more than one with a 2% weight.
For example:
Five low-weight experts may be bullish.
Three high-weight experts may be bearish.
The final weighted vote can still be bearish.
This means consensus measures the agreement of the current weighted model, not the raw number of methods on each side.
With a zero Weight Floor, consensus may become very high when one expert dominates, even if several near-zero-weight experts disagree.
With a positive floor, disagreement from the remaining experts has more influence on the consensus value.
Consensus is not confidence
The consensus percentage should not be interpreted as a probability that the trend will continue.
It measures only the current alignment of weighted expert slopes.
High consensus means:
The influential experts point in the same direction.
It does not guarantee:
Future price continuation.
A profitable entry.
Low reversal risk.
Strong agreement can occur late in a mature trend as well as early in a new one.
Leading method
The live information label identifies the expert with the highest current weight.
It displays:
The expert name.
Its current percentage weight.
The weighted consensus strength.
The current ensemble direction.
For example:
Leading: HMA (34.5%)*
Consensus: 78% ▲
This means the HMA currently has the largest share of the ensemble and the weighted expert bank is strongly aligned upward.
The leader percentage is not a win probability.
It is only the experts share of the current normalised weight distribution.
Leader changes
The leading method can change when:
The current leader makes directional mistakes.
Another expert remains correct while competitors are penalised.
A large magnitude-weighted move strongly changes relative weights.
The market transitions into a regime better suited to another smoother.
Leader changes can help reveal how the ensemble is adapting.
For example:
A shift toward HMA or DEMA may reflect stronger preference for responsive methods.
A shift toward SMA or RMA may reflect better recent performance from slower methods.
A shift toward LSMA may occur during a smooth local directional path.
These interpretations are contextual and should not be treated as fixed rules.
Gradient fill
The indicator fills the area between price and the ensemble line.
When price is above the line:
A bullish gradient is displayed.
When price is below the line:
A bearish gradient is displayed.
The gradient visually separates price from the adaptive trend estimate.
The fill reflects price location, while the line colour reflects the slope-derived ensemble trend.
These can temporarily disagree.
For example:
Price may fall below a still-rising ensemble during a pullback.
Price may rise above a still-falling ensemble during a counter-trend rally.
This disagreement can provide useful context.
Consensus glow
A glow is drawn around the ensemble line.
Its brightness changes according to weighted consensus.
When consensus is high:
The glow becomes brighter and more visible.
When the experts are divided:
The glow becomes more transparent.
The glow width is scaled using ATR based on the Base Length, helping the effect remain proportional across instruments and volatility environments.
The glow is a visual representation of model agreement. It does not modify the line or trend calculation.
Candle colouring
Candles can be coloured according to the current ensemble trend:
Bullish trend uses the selected bullish colour.
Bearish trend uses the selected bearish colour.
Candle colouring is based on the direction of the ensemble line, not the direction of each individual candle.
A bearish candle can therefore remain green during a bullish ensemble regime, and a bullish candle can remain red during a bearish regime.
How to interpret the indicator
Bullish ensemble trend
A bullish state means the final ensemble line is rising.
This indicates that the current weighted combination of experts is moving upward.
It does not require all individual experts to be bullish.
Bearish ensemble trend
A bearish state means the final ensemble line is falling.
The weighted combination is moving downward, even if one or more individual experts remain bullish.
High bullish consensus
A strongly positive vote means most influential expert weight is assigned to rising methods.
This can indicate broad directional alignment.
High bearish consensus
A strongly negative vote means the influential experts are predominantly falling.
Low consensus
A consensus near zero means weighted expert directions are divided.
This can occur during:
Trend transitions.
Sideways ranges.
Pullbacks.
Disagreement between faster and slower methods.
Low consensus does not automatically mean price will remain sideways. It means the ensemble's components are not currently aligned.
High leader weight and high consensus
This indicates that:
One method currently dominates.
The broader weighted bank is aligned with it.
The model is highly concentrated and directionally unified.
This can produce a responsive and decisive ensemble, but it also means the output depends heavily on the current leader.
Distributed weights and high consensus
This means several experts maintain meaningful weights while pointing in the same direction.
The trend is supported by a more diversified group of methods.
Leader weight high but consensus low
This can occur when the dominant expert points one way while several remaining experts point the other way.
The ensemble may still follow the leader, but internal disagreement is present.
How to use the indicator
1. Trend regime filter
Use the ensemble slope as directional context:
Prioritise long setups during bullish regimes.
Prioritise short setups during bearish regimes.
The indicator does not define entry price, stop placement or profit targets.
2. Consensus filter
A user may require stronger consensus before acting on the trend state.
For example:
A bullish flip with low consensus may represent an early or uncertain transition.
A bullish regime with high consensus indicates broader weighted alignment.
No universal consensus threshold is appropriate for every market.
3. Pullback analysis
During a bullish ensemble regime:
Price moving toward or below the line may represent a pullback.
The ensemble remaining bullish suggests its trend estimate has not yet reversed.
During a bearish regime:
Price moving toward or above the line may represent a counter-trend rally.
Price interaction with the line should be combined with structure and risk management.
4. Regime adaptation observation
The Leading Method label can be used to study how different smoothers perform through changing environments.
Rather than assuming one moving average is always best, the user can observe:
Which expert gains weight during trends.
Which expert takes over during transitions.
How concentrated the model becomes.
How quickly weights change under different Learning Rates.
5. Bullish and bearish flips
Trend flips can be used as:
Regime-change alerts.
Confirmation for another setup.
Potential exit conditions.
A directional filter for discretionary trades.
Because flips are based on line slope, responsive settings can generate repeated changes during ranges.
Suggested configurations
Balanced adaptive configuration
Moderate Base Length.
Moderate Learning Rate.
Directional loss.
Small positive Weight Floor.
Minimal Line Smoothing.
This keeps the model adaptive while preserving some expert diversity.
Fast adaptation configuration
Shorter Base Length.
Higher Learning Rate.
Magnitude-weighted loss.
Zero or very small Weight Floor.
Line Smoothing of 1 or 2.
This allows rapid concentration around recent winners but can create unstable leader changes.
Conservative diversified configuration
Longer Base Length.
Lower Learning Rate.
Directional loss.
Positive Weight Floor.
Additional Line Smoothing.
This creates slower and more diversified adaptation.
Large-move-focused configuration
Magnitude-weighted loss can be used when mistakes during large ATR-normalised moves should matter more than errors during minor fluctuations.
This may reduce the influence of small alternating bars on the weight distribution.
Pure directional configuration
Directional loss is useful when every close-to-close directional observation should be treated equally.
It creates a straightforward right-or-wrong scoring process.
How this differs from averaging moving averages
A normal moving-average ribbon or composite may calculate:
Average of SMA, EMA, HMA and other methods.
If every method receives equal weight permanently, its influence never changes.
Adaptive Trend Ensemble instead calculates:
Performance-dependent weights.
Sequential loss updates.
A dynamically changing weighted output.
Two bars with the same expert values can produce different ensemble values if the weight distributions differ.
How this differs from selecting the current fastest average
The indicator does not select whichever moving average is currently closest to price or whichever has moved the most.
Weights are based on whether previous expert slopes correctly anticipated realised price direction.
An expert can therefore lead even if it is not the fastest or closest line.
How this differs from an optimisation
The model does not search historical data for one set of parameters with the best backtest result.
It does not change the shared length of each expert.
Instead, it performs continuous online adaptation of the expert weights.
This avoids permanently selecting one historical winner, but it also means recent performance can strongly influence the current model.
How this differs from a machine-learning forecast
The indicator uses a genuine online-learning algorithm, but it is not a neural network or a price-target forecasting model.
It does not estimate the size of the next move.
The experts make binary directional predictions derived from their slopes.
The learning system then adjusts how much influence each moving-average value receives.
It is therefore best understood as an adaptive model-selection and blending process.
Causality and real-time behaviour
The learning update uses:
The prior-bar slope of each expert.
The current close-to-close realised direction.
It does not use future bars.
On historical completed candles, the update is fully causal.
On the current live candle:
The close can continue changing.
The realised direction can change.
Expert values can change.
Weights and consensus can update intrabar.
A bullish or bearish flip may appear before the candle closes.
Users requiring confirmed signals should evaluate the indicator at bar close.
Strengths
Combines eight distinct smoothing methods.
Adapts expert influence through online learning.
Supports directional and magnitude-sensitive losses.
Uses multiplicative updates rather than fixed weighting.
Provides optional protection against permanent weight collapse.
Separates ensemble direction from expert consensus.
Displays the currently leading method.
Uses one shared horizon for a fairer expert comparison.
Requires no offline training process.
Provides transparent open-source calculations.
Summary
Adaptive Trend Ensemble combines eight moving-average experts using a multiplicative online-learning model.
Each expert uses the same Base Length but applies a different smoothing method. The previous slope of each expert acts as its directional prediction for the latest close-to-close move.
After the realised direction is observed, incorrect experts receive either a fixed directional loss or an ATR-normalised magnitude-weighted loss. Their weights are reduced using an exponential Hedge update, then normalised and optionally adjusted using a minimum Weight Floor.
The current expert values are blended according to these adaptive weights, producing one ensemble line whose effective behaviour changes as different methods gain or lose influence.
A separate weighted vote measures current directional agreement. This consensus controls the visual glow and is displayed beside the current leading expert.
The result is a transparent adaptive trend model that does not assume one moving average will remain optimal. Instead, it continuously redistributes influence toward the methods that have recently aligned better with realised price direction while retaining configurable control over responsiveness, diversity and visual smoothing.
Indicator
TheStrat Suite [Open Source] Entries, Targets, and Stop LossTheStrat Suite automates the detection, visualization, and alerting of price action setups based on TheStrat methodology (developed by Rob Smith) across up to six configurable timeframes simultaneously.
The guiding principle: show only the most valuable information. Rather than cluttering charts with every possible level and signal, the indicator uses logic based on user settings to determine what's relevant and worth displaying at any given moment.
WHAT IT DOES
The indicator identifies candle combinations (combos), actionable signals (inside bars, hammers, shooters), Failed 2s (range reclaims), and calculates magnitude and exhaustion targets — then draws entries, targets, stop losses, and take action windows directly on your chart. A real-time data table displays combo status, bar types, and Full Timeframe Continuity (FTFC) across all enabled timeframes. Candles themselves can be colored by Strat classification or by FTFC. Alerts can be filtered by timeframe continuity, signal type, specific timeframes, or Domino setups.
HOW IT WORKS
Multi-Timeframe Data Architecture
The indicator requests OHLC data from up to six user-configured timeframes in a single pass, then processes each timeframe's candle relationships independently. This allows the 5-minute, 60-minute, daily, and weekly structure to coexist on one chart without switching views.
Candle Classification Logic
Each closed candle is classified by comparing its high and low to the prior candle's range. A candle entirely within the prior range is type 1 (inside). A candle that exceeds one side is type 2 (directional). A candle that exceeds both sides is type 3 (outside). Directional bias (u/d) is determined by comparing close to open. A Failed 2 (also known as a Range Reclaim, 2d Green, or 2u Red) occurs when a directional candle breaks one side of an inside bar but fails to continue.
Hammer and Shooter Detection
The indicator offers three detection methods. Classic requires the candle to breach the prior candle's high or low but close back inside the prior range. Pin Bar adds a wick-to-body ratio requirement, filtering for candles where the rejecting wick is significantly longer than the body. Broad relaxes the close requirement, allowing the close to be near (not strictly inside) the prior range. Users select which method matches their trading style.
Failed 2 / Range Reclaim Detection
A Failed 2 occurs when price breaks one side of an inside bar (type 1) but reverses through the opposite side. The indicator provides four detection methods. Open flags the setup when the reversal candle opens beyond the broken level. Reclaim flags when price closes back through the opposite side of the inside bar's range. Both requires both conditions (open beyond AND close reclaim). Either flags when either condition is met. This configurability lets traders match detection to their preferred confirmation style.
Stop Loss Levels
When a signal fires with stops enabled, the indicator places a stop loss level on the opposite side of the trigger and locks it for the duration of the signal. The stop reference is selectable — the current candle for tighter risk, or C1 for wider invalidation — and an optional Break Even mode moves the stop to entry once magnitude or exhaustion is hit. A Smallest Timeframe Only mode draws just the tightest active stop when several timeframes are in force. Stop prices can be appended to alert messages.
Level Hierarchy and Consolidation
When multiple timeframes produce levels at similar prices, the indicator intelligently consolidates them into combined labels rather than hiding important information. Higher timeframes take display priority over lower timeframes — a weekly level takes precedence over a daily level at the same price — but both are represented in the consolidated label. Actionable signals (inside bars, hammers, shooters with defined triggers) take priority over static reference levels. This prevents chart clutter while preserving all relevant information in a readable format.
Intelligent Label Adaptation
Labels dynamically update as market structure changes. When a magnitude target from one timeframe coincides with a trigger level from another, the label consolidates to reflect both roles (e.g., "W MAG + D Trigger"). When levels are hit, invalidated, or superseded, labels update color and text to reflect current status rather than disappearing — preserving context for the trader.
Full Timeframe Continuity (FTFC) Filtering
FTFC status is calculated by evaluating directional bias across all enabled timeframes. When all timeframes show bullish bias (closing up relative to open), FTFC is bullish. When all show bearish bias, FTFC is bearish. Mixed bias means no continuity. Users can filter signals to only appear when FTFC aligns with the signal direction, reducing noise during consolidation.
Take Action Windows
When a signal forms on a higher timeframe, the indicator highlights the period during which that timeframe's candle remains open. This visual window reminds traders when a setup is "in force," providing a frame of reference for seeking entries on smaller timeframes.
Domino Detection
A Domino setup occurs when a signal on one timeframe can trigger another signal on an adjacent timeframe. The indicator detects and alerts on these conditions.
Bar Coloring
New in v3. Chart candles can be painted by their Strat classification or by the current Full Timeframe Continuity state, with optional highlighting when a bar flips to a Failing 2. One mode is active at a time, and coloring is off by default.
Preview Mode
When the market is closed, the indicator shifts to the next period's levels so setups can be planned before the open. The Auto default detects the instrument type and activates during off-hours — weekends for futures, pre/post-market for equities, even holidays — and turns itself off when trading resumes.
IMPLEMENTATION DETAILS
This implementation addresses several practical challenges traders face.
Multi-timeframe consolidation: Rather than constantly switching chart timeframes or mentally tracking multiple structures, all analysis exists in one view with intelligent deduplication when levels overlap.
Configurable detection methods: Hammer/shooter and Failed 2 detection aren't one-size-fits-all. The four Failed 2 methods and three hammer/shooter definitions let traders match the indicator to their specific confirmation requirements rather than accepting a single rigid definition.
Dynamic level management: Levels don't just appear and disappear — they adapt. A target becoming a trigger, a level being hit, or a setup invalidating all produce specific visual feedback rather than simply removing information. This preserves market context as price develops.
Alert filtering depth: Alerts can be filtered by FTFC alignment, signal type, specific timeframes, or Domino conditions — and the consolidated alert can append trigger, magnitude, exhaustion, and stop prices plus the FTFC state to each message — allowing traders to specify exactly which conditions warrant notification without building complex alert logic manually.
Performance optimization: Multi-timeframe analysis can be computationally expensive. This implementation consolidates data requests and limits historical depth on intensive calculations to maintain fast load times without sacrificing real-time functionality.
HOW TO USE IT
Setup
Pick a timeframe preset — TheStrat Classic, Scalp, Day Trade, Futures/Crypto, Swing Trade, or Investing — or set Custom to configure all six timeframe slots manually. Enable or disable specific bar combinations you want to see (e.g., 2-1, 3-2, etc.). Configure your preferred hammer/shooter and Failed 2 detection methods. Toggle FTFC filtering on/off based on your strategy.
Reading the Display
Solid lines represent reference levels (prior high/low). Dashed lines represent actionable triggers. Stop loss levels sit on the opposite side of the trigger. Color indicates direction (configurable) and status (hit, failed, active). Labels show timeframe, level type, and price — in Strat notation (2d-1-2u HAM) or a plain-language Universal style (REVERSAL, CONTINUATION, INSIDE, OUTSIDE, EXPANSION, FAILING). The data table shows current combo, bar type, and FTFC status per timeframe, in a Full layout or a Compact color-coded row.
Alerts
Set your chart timeframe equal to or lower than your lowest configured indicator timeframe, and set the alert interval accordingly. One consolidated alert covers every enabled timeframe with per-timeframe filtering, or use the individual alert conditions. Use alert filters to specify which conditions trigger notifications.
DOES IT REPAINT?
No. Completed-bar signals are built from confirmed higher-timeframe data and do not change on reload. The forming candle updates in real time by design — that is the live trigger you are watching — and the engineering rules that enforce this are documented in the repository.
DEFINITIONS
Combo: Two or more numbers representing the relationship between consecutive candles (e.g., 2-1, 3-2, 2-1-2). Each number indicates the candle type in sequence.
Candle Types: 1 = Inside, 2 = Directional, 3 = Outside.
Directional Bias: u = price above open, d = price below open.
C1/C2: C1 is the most recent closed candle, C2 is two bars back.
Magnitude: The measured move target, typically the C2 high or low.
Exhaustion: Extended targets beyond magnitude, indicating potential reversal zones.
FTFC: Full Timeframe Continuity — all timeframes aligned in the same direction.
Domino: A setup where one signal triggering can cascade into triggering adjacent timeframe signals.
KNOWN LIMITATIONS
PulseWire cannot request data from timeframes lower than your chart. Set chart timeframe accordingly.
Bar replay performance is unreliable with small timeframes and can produce runtime errors with certain low-timeframe combinations (PulseWire limitation).
Exhaustion calculations are limited to recent bars for performance.
Label overlap at similar price levels is a PulseWire rendering limitation.
OPEN SOURCE
The complete source is published under the Mozilla Public License 2.0, together with the engineering documentation (the no-repaint contract, the multi-timeframe correctness rules), a full changelog, and a settings reference. The repository and setup-guide links are in my signature and on my profile. This publication open-sources my earlier invite-only listing of the same name; that listing stays up for its existing users, and updates continue here.
Trading involves risk. This is a charting tool, not financial advice. Past performance does not guarantee future results. Indicator
NeuPortal - Base Rate SignalsFive standard entry rules running simultaneously on the price chart: moving average crossover, RSI reversal, MACD cross, Bollinger re-entry and Stochastic cross. Each marks its own small triangle under or over the candle, tagged with the rule that fired it. When several agree on the same bar, a consensus label is drawn.
That part is ordinary. Thousands of scripts do it.
THE NUMBER EVERY SIGNAL SCRIPT LEAVES OUT
Each rule is scored live against the base rate on your chart. The table prints three things per rule:
hit - how often that rule was followed by a move in its own direction
base - how often ANY bar was followed by that same move over the same window
edge - the difference
That difference is the only thing an entry rule can honestly claim.
A rule that hits 54% sounds like an edge until you ask what a bar picked at random scores. In a market that drifted upward over the sample, "price is higher 20 bars later" might be true 53% of the time whatever you do. A rule at 54% against a 53% baseline has found almost nothing. Every signal indicator in existence reports the 54 and omits the 53.
The edge will often be small and sometimes negative. That is the expected result, not a fault in the script. On ETHUSDT 4h at the time of writing, a WMA 21/65 crossover long scores 44.7% against a base rate of 51.1% - an edge of minus 6.4 across 123 signals and 10,026 scored bars. Buying a random bar would have been better than buying that signal.
THE CONSENSUS ROW IS AN EXPERIMENT, NOT A FEATURE
"Three indicators confirm the entry" rests on an assumption nobody checks: that three indicators are three pieces of evidence.
They are not. Measured over 19,580 four-hour bars of full Binance history, the rank correlation between these families runs around 0.80. Stochastic against Williams %R reaches 0.92; RSI against CCI 0.90. For n readings correlated at r, the effective number of independent readings is about n / (1 + (n - 1) * r). Five rules at 0.80 come to roughly 1.4.
So set how many rules must agree, and watch what happens. If agreement were evidence, the edge would rise as the threshold rises. Usually only the signal count falls. Trading less often for the same expectation is not an improvement, and this is the first indicator I know of that lets you see that rather than assume it.
TIMING
Three modes. Confirmed waits for the bar to close and never changes afterwards. Anticipate fires one bar earlier by projecting each rule's spread across zero, so some of those crosses never happen. Live fires on the unfinished bar and repaints.
Switch between them and watch the edge column. Earlier is only better if the edge improves, and usually it does not. Note that in Live mode the historical percentages were not earned under those conditions - history contains no unfinished bars, so every past signal was scored as confirmed. Live mode flatters itself, and the table marks it.
HOW THE SCORING WORKS
A signal counts as correct if price closed higher (long) or lower (short) a fixed number of bars later. Every count uses only bars that had already completed when the label was drawn, so nothing repaints and no percentage knows anything the chart did not. Early in a chart the sample is tiny and the table says "too few" rather than printing a flattering number from six observations.
WHAT THIS IS NOT
Not a strategy and not advice. Hit rate says nothing about the size of wins against losses: a rule right 60% of the time can lose money steadily. This measures direction only, over one fixed horizon, with no costs, no slippage and no position sizing.
It is a tool for finding out whether a familiar rule does anything at all on your instrument. The usual answer is very little, and knowing that is worth more than another arrow.
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
EVA Ai+ FVG v1.3 Fair Value Gap FVG - ICT Imbalanc🧬 EVA Ai+ Fair Value Gap — индикатор FVG, дисбаланса и ликвидности
EVA Ai+ Fair Value Gap — это автоматический FVG-индикатор для PulseWire, который находит бычьи и медвежьи зоны Fair Value Gap, показывает ценовой дисбаланс на графике и отслеживает заполнение каждой зоны в реальном времени.
Индикатор предназначен для анализа Price Action, ICT, Smart Money Concepts, ликвидности и рыночного дисбаланса. Он помогает увидеть участки, где цена прошла слишком быстро и оставила незаполненный диапазон между свечами.
🔍 Что такое FVG
Fair Value Gap — FVG представляет собой трёхсвечный ценовой дисбаланс.
🟢 Бычий FVG формируется, когда цена резко движется вверх и между предыдущими свечами остаётся незаполненный диапазон.
🔴 Медвежий FVG формируется при сильном нисходящем движении, когда между свечами остаётся незаполненная область.
Такие зоны обычно рассматриваются как области интереса для анализа возможного возврата цены, реакции, продолжения движения или заполнения дисбаланса. На PulseWire FVG обычно описывается именно как трёхсвечный imbalance, который цена впоследствии может частично или полностью заполнить.
⚙️ Что делает индикатор
✅ Автоматически обнаруживает Bullish FVG и Bearish FVG
✅ Отображает зоны Fair Value Gap непосредственно на графике
✅ Поддерживает текущий или отдельный таймфрейм поиска
✅ Продлевает активные зоны вправо
✅ Динамически уменьшает FVG по мере его заполнения ценой
✅ Не восстанавливает уже заполненную часть после отката
✅ Полностью удаляет зону после полного перекрытия
✅ Поддерживает автоматическую фильтрацию слабых дисбалансов
✅ Позволяет настраивать цвета и количество активных зон
✅ Формирует отдельные алерты для бычьего и медвежьего FVG
✅ Использует lookahead_off без переноса будущих данных в прошлое
📉 Динамическое заполнение FVG
Главная особенность EVA Ai+ FVG — Dynamic Mitigation.
Когда цена начинает входить в Fair Value Gap:
закрашенная область уменьшается вместе с заполнением;
на графике остаётся только незакрытая часть дисбаланса;
уже перекрытая область не появляется снова после отката;
после полного заполнения FVG автоматически удаляется.
Это позволяет видеть не просто исторические прямоугольники, а актуальный остаток ценового дисбаланса.
📈 Как применять бычий FVG
Бычья зона отмечается зелёным цветом.
Возможный сценарий анализа:
Определите восходящий тренд или бычью структуру рынка.
Найдите свежий Bullish Fair Value Gap.
Дождитесь возврата цены к зоне.
Следите за реакцией цены внутри незаполненной части FVG.
Используйте дополнительное подтверждение: структуру рынка, объём, уровень поддержки, свечную реакцию или импульс.
Рассматривайте противоположную границу зоны как точку отмены сценария только в рамках собственной торговой системы.
📉 Как применять медвежий FVG
Медвежья зона отмечается красным цветом.
Возможный сценарий анализа:
Определите нисходящий тренд или медвежью структуру рынка.
Найдите свежий Bearish Fair Value Gap.
Дождитесь возврата цены к зоне дисбаланса.
Оцените реакцию продавцов внутри оставшейся части FVG.
Подтвердите сценарий структурой рынка, сопротивлением, объёмом или свечной моделью.
Не используйте сам факт касания FVG как обязательную команду для входа.
🕒 Мультитаймфрейм-анализ
В настройках можно выбрать отдельный таймфрейм поиска.
Примеры применения:
FVG с 1H на графике 15m;
FVG с 4H для поиска зон на младшем таймфрейме;
FVG текущего таймфрейма для скальпинга и внутридневного анализа;
старший FVG как контекст, младший таймфрейм — для уточнения реакции.
Если поле таймфрейма оставить пустым, индикатор использует текущий таймфрейм графика.
🎯 Практические варианты использования
EVA Ai+ FVG можно применять для:
поиска зон возврата цены;
определения ценового дисбаланса;
анализа ликвидности;
поиска потенциальных зон поддержки и сопротивления;
анализа продолжения тренда;
поиска реакции после импульсного движения;
ICT и Smart Money Concepts;
Price Action;
внутридневной торговли;
скальпинга;
свинг-трейдинга;
анализа криптовалют, акций, форекса, индексов и фьючерсов.
🔔 Алерты
Доступны два типа уведомлений:
🟢 обнаружен новый Bullish Fair Value Gap;
🔴 обнаружен новый Bearish Fair Value Gap.
Алерты создаются через стандартное меню уведомлений PulseWire.
⚠️ Важно
Fair Value Gap не является самостоятельной гарантией разворота или продолжения движения. FVG следует использовать вместе с направлением тренда, рыночной структурой, ликвидностью, объёмом и управлением риском.
Индикатор является аналитическим инструментом и не представляет собой инвестиционную рекомендацию.
🧬 EVA Ai+ Fair Value Gap — FVG, Imbalance and Liquidity Indicator
EVA Ai+ Fair Value Gap is an automatic FVG indicator for PulseWire that detects bullish and bearish Fair Value Gaps, displays price imbalance zones directly on the chart, and tracks the mitigation of every active gap.
The indicator is designed for Price Action, ICT, Smart Money Concepts, liquidity analysis, market imbalance, and order-flow context. It highlights areas where price moved rapidly and left an inefficient or unfilled range between candles.
🔍 What is a Fair Value Gap?
A Fair Value Gap — FVG is a three-candle price imbalance.
🟢 A Bullish FVG appears after strong upward displacement leaves an unfilled range below the current price.
🔴 A Bearish FVG appears after strong downward displacement leaves an unfilled range above the current price.
These zones can be used as areas of interest for analyzing a potential price return, reaction, continuation, or full mitigation. PulseWire’s FVG search pages and widely followed scripts use the same core vocabulary: Fair Value Gap, imbalance, liquidity, mitigation, and three-candle structure.
⚙️ Main features
✅ Automatic Bullish FVG detection
✅ Automatic Bearish FVG detection
✅ Clear Fair Value Gap zones on the chart
✅ Current-timeframe and multi-timeframe analysis
✅ Active FVG zones extended to the right
✅ Dynamic partial mitigation
✅ Filled portions never reappear after a pullback
✅ Automatic removal after complete mitigation
✅ Optional automatic imbalance threshold
✅ Custom bullish and bearish colors
✅ Adjustable maximum number of active gaps
✅ Bullish and bearish PulseWire alerts
✅ lookahead_off calculation
📉 Dynamic FVG mitigation
The key feature of EVA Ai+ FVG is Dynamic Mitigation.
As price moves into a Fair Value Gap:
the highlighted zone contracts with the fill;
only the remaining unmitigated imbalance stays visible;
previously consumed portions do not expand again;
the complete FVG is removed after a full fill.
This provides a cleaner representation of the imbalance that is still active instead of leaving obsolete rectangles across the chart.
📈 How to use a Bullish FVG
Bullish zones are displayed in green.
A possible analysis workflow:
Identify a bullish trend or bullish market structure.
Locate a fresh Bullish Fair Value Gap.
Wait for price to return toward the imbalance.
Observe the reaction inside the remaining FVG.
Confirm the setup with market structure, volume, support, momentum, or candle reaction.
Define invalidation and risk according to your own trading plan.
📉 How to use a Bearish FVG
Bearish zones are displayed in red.
A possible analysis workflow:
Identify a bearish trend or bearish market structure.
Locate a fresh Bearish Fair Value Gap.
Wait for price to retrace into the imbalance.
Evaluate seller reaction inside the remaining FVG.
Use resistance, market structure, volume, or price-action confirmation.
Do not treat every FVG touch as an automatic entry signal.
🕒 Multi-timeframe FVG analysis
The indicator can detect Fair Value Gaps from a selected timeframe.
Examples:
display 1H FVG zones on a 15m chart;
use 4H imbalance zones as higher-timeframe context;
use chart-timeframe FVGs for intraday trading and scalping;
combine higher-timeframe liquidity zones with lower-timeframe confirmation.
Leave the timeframe field empty to use the current chart timeframe.
🎯 Common use cases
EVA Ai+ FVG can be used for:
Fair Value Gap trading;
liquidity-zone analysis;
market imbalance detection;
ICT trading concepts;
Smart Money Concepts;
Price Action;
support and resistance context;
trend-continuation analysis;
pullback and retracement analysis;
crypto trading;
forex trading;
stock trading;
futures and index analysis;
scalping, day trading, and swing trading.
🔔 PulseWire alerts
Two alert conditions are included:
🟢 New Bullish Fair Value Gap detected;
🔴 New Bearish Fair Value Gap detected.
Alerts can be configured through the standard PulseWire alert menu.
⚠️ Disclaimer
A Fair Value Gap does not guarantee a reversal, continuation, or profitable trade. FVG zones should be evaluated together with trend direction, market structure, liquidity, volume, confirmation, and risk management.
This indicator is an analytical tool and does not provide financial or investment advice. Indicator
EVA Ai+ Radar v25.2 Screener - Crypto & Stock LONG SHORT Si🧬 EVA Ai+ Radar — профессиональный рыночный скринер и индикатор для PulseWire, созданный для быстрого поиска перспективных торговых инструментов среди российских акций и популярных криптовалют.
Система одновременно анализирует до 20 активов, рассчитывает приоритет каждого инструмента и автоматически сортирует рынок по силе текущего движения. Вместо ручного переключения между графиками трейдер получает компактную премиальную панель с готовым рейтингом активов.
🔎 Что анализирует EVA Ai+ Radar
Для каждого инструмента рассчитываются:
направление краткосрочного и среднесрочного тренда;
положение цены относительно EMA;
сила тренда через ADX и DMI;
состояние RSI;
относительный торговый объём;
направленный рыночный поток Flow;
изменение цены;
итоговая сила и приоритет сигнала.
📊 Сигналы скринера
🟢 LONG — подтверждённое преимущество покупателей и восходящее направление.
🔴 SHORT — подтверждённое преимущество продавцов и нисходящее направление.
🟡 РАНО ↑ / РАНО ↓ — раннее формирование движения до достижения строгого порога основного сигнала.
⚪ НАБЛ. — инструмент пока не имеет достаточного преимущества для подтверждённого входа.
⚡ Два режима работы
RADAR — строгий режим для поиска подтверждённых сигналов LONG и SHORT.
РАНО — расширенный режим, дополнительно показывающий инструменты, в которых движение только начинает формироваться.
🛡️ Защита от перерисовки
По умолчанию скринер использует данные только закрытых свечей выбранного таймфрейма:
без lookahead_on;
без смещения сигналов в прошлое;
без перерисовки подтверждённых значений;
с безопасной обработкой недоступных торговых инструментов
🌍 Поддерживаемые рынки
🇷🇺 Российские акции Московской биржи:
Сбербанк;
Газпром;
Лукойл;
Роснефть;
Новатэк;
Норникель;
Полюс;
Татнефть;
ВТБ;
Яндекс.
₿ Криптовалюты:
Bitcoin;
Ethereum;
Solana;
BNB;
XRP;
Dogecoin;
Cardano;
Avalanche;
Chainlink;
Toncoin.
Все тикеры можно изменить в настройках индикатора.
⚙️ Основные возможности
✅ Скринер акций и криптовалют
✅ Одновременный анализ 20 инструментов
✅ Торговые сигналы LONG и SHORT
✅ Раннее обнаружение движения
✅ Автоматический рейтинг активов
✅ Анализ тренда, объёма, RSI, ADX и DMI
✅ Относительный объём и Flow
✅ Индикатор без перерисовки
✅ Настраиваемый таймфрейм
✅ Алерты PulseWire
✅ Премиальный интерфейс EVA
✅ Безопасная обработка недоступных тикеров
⚠️ Важная информация
EVA Ai+ Radar является аналитическим инструментом и не представляет собой инвестиционную рекомендацию. Сигналы индикатора необходимо оценивать совместно с рыночным контекстом, управлением капиталом и контролем риска.
🧬 EVA Ai+ Radar is a professional PulseWire market scanner designed to help traders quickly identify strong opportunities across major cryptocurrencies and Russian stocks.
The screener analyzes up to 20 markets simultaneously, calculates a priority score for every symbol, and automatically ranks instruments according to current trend strength and market momentum. Instead of manually switching between multiple charts, traders receive a compact premium dashboard with a structured market overview.
🔎 What EVA Ai+ Radar analyzes
For every selected symbol, the system evaluates:
short-term and medium-term trend direction;
price position relative to exponential moving averages;
trend strength using ADX and DMI;
RSI momentum;
relative trading volume;
directional market Flow;
price change;
final signal strength and priority score.
📊 Screener signals
🟢 LONG — confirmed bullish advantage and positive market direction.
🔴 SHORT — confirmed bearish advantage and negative market direction.
🟡 EARLY ↑ / EARLY ↓ — an emerging directional setup detected before the strict signal threshold is reached.
⚪ WATCH — the asset does not currently have enough directional advantage for a confirmed signal.
⚡ Two scanning modes
RADAR — strict mode designed to identify confirmed LONG and SHORT signals.
EARLY — expanded mode that also identifies assets where a new directional move may be starting.
🛡️ Non-repainting calculation
By default, the screener uses confirmed data from closed candles on the selected timeframe:
no lookahead_on;
no historical signal backfilling;
no repainting of confirmed values;
safe processing of unavailable or unsupported symbols.
If one selected ticker is temporarily unavailable, the remaining markets continue to be calculated normally.
💎 Premium EVA dashboard
The dashboard displays:
market ranking;
symbol;
LONG, SHORT, or EARLY signal;
signal strength;
percentage price change;
RSI and relative volume;
directional Flow;
number of active LONG, SHORT, and EARLY signals;
selected timeframe and calculation mode.
The visible list can be adjusted from 5 to 20 rows, while all enabled markets continue to be analyzed.
🔔 PulseWire alerts
The screener includes three alert conditions:
confirmed LONG signal detected;
confirmed SHORT signal detected;
EARLY directional setup detected.
Alerts can be configured using the standard PulseWire alert system.
🌍 Supported markets
🇷🇺 Russian stocks:
Sberbank;
Gazprom;
Lukoil;
Rosneft;
Novatek;
Norilsk Nickel;
Polyus;
Tatneft;
VTB;
Yandex.
₿ Cryptocurrencies:
Bitcoin;
Ethereum;
Solana;
BNB;
XRP;
Dogecoin;
Cardano;
Avalanche;
Chainlink;
Toncoin.
Every symbol can be changed through the indicator settings.
⚙️ Main features
✅ PulseWire stock and crypto screener
✅ Simultaneous analysis of 20 symbols
✅ LONG and SHORT trading signals
✅ Early trend detection
✅ Automatic market ranking
✅ Trend, volume, RSI, ADX, and DMI analysis
✅ Relative volume and directional Flow
✅ Non-repainting indicator
✅ Custom scanning timeframe
✅ PulseWire alerts
✅ Premium EVA interface
✅ Safe invalid-symbol handling
⚠️ Disclaimer
EVA Ai+ Radar is an analytical and educational tool. It does not provide financial or investment advice. Every signal should be evaluated together with market context, position sizing, risk management, and independent analysis. Indicator
Squeeze Breakout Signals [TBalgo]Squeeze Breakout Signals spots when volatility compresses, then flags breakout long and short signals when price escapes the band after a tight zone.
Overview
This overlay indicator maps volatility compression and breakout direction on your chart. It builds dynamic SMA bands, detects when band width ranks in the lowest part of recent history (squeeze / tight zone), and fires signals only when price breaks the upper or lower band after compression.
Built for traders who want a clean squeeze → breakout workflow without clutter.
How it works
1. Bands — SMA midline + standard-deviation upper/lower bands
2. Tight zone — band width percentile rank vs lookback; when rank is low, market is in a squeeze
3. Signals — long when price crosses above the upper band after a tight bar; short when price crosses below the lower band after a tight bar
4. Guide lines — optional entry, risk (opposite band), and reward level based on band width
Features
- Green/red squeeze bands with tight-zone background wash
- Diamond markers on breakout signals
- Optional entry labels (`TB Long` / `TB Short`)
- HUD chip showing **TIGHT** or **LIVE** state
- Full display toggles — turn bands, signals, tags, guides, or HUD on/off
- Custom colors for bull, bear, and neutral states
- Built-in alerts for long, short, squeeze start, and expansion
Settings
Display — Bands · Tight Zone · Signals · Tags · Guide Lines · HUD
Engine
- **Length** — SMA / band period (default 50)
- **Std Mult** — band width multiplier (default 2.0)
- **Rank Lookback** — history for squeeze detection (default 100)
- **Tight Rank ≤** — max percentile to count as tight (default 20)
- **Reward × Width** — target distance as multiple of band width (default 1.5)
| Alert | When it fires |
|---|---|
| TB Squeeze Long | Bullish breakout after tight zone |
| TB Squeeze Short | Bearish breakout after tight zone |
| TB Squeeze Tight | Compression / squeeze begins |
| TB Squeeze Expand | Compression ends |
---
Suggested use
- **Higher timeframes (1H–1D):** default settings often work well for swing context
- **Lower timeframes (1–15m):** try shorter Length (20–35) and lower Tight Rank (10–15)
- Wait for **TIGHT** on the HUD, then trade only confirmed diamond signals
- Use guide lines as reference — not automatic trade execution
Pairs well with volume, structure, or liquidity tools on the same chart.
---
License
Original TBalgo indicator.
Licensed under Mozilla Public License 2.0 — free to use and modify with attribution.
Disclaimer
For education and research only. Not financial advice. Past signals do not guarantee future results. Always manage risk and do your own analysis before trading.
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
Volume Delta Pressure [JOAT]Volume Delta Pressure estimates how much of each bar's volume was buying versus selling, then turns that split into a clean read on who is actually in control. It combines a per-bar delta engine, a cumulative session delta line, a normalized pressure oscillator, gradient candle heat, VWAP bands, and a full on-chart dashboard — so order flow becomes something you can see at a glance instead of guessing.
▎ WHAT IT DOES
It reconstructs buy/sell volume for every candle, tracks the running net delta across the session, and measures whether current flow is stretched into Accumulation or Distribution . From that it colors your candles by pressure, prints cooldown-gated BUY/SELL labels, flags CVD/price divergences, and reports the full picture in a top-corner panel.
▎ HOW IT WORKS
• Delta engine — Two methods. Lower-TF Intrabar polls a smaller timeframe, signs each intrabar by its direction (up = buy, down = sell, doji split), and sums the volume. Range/Body Proxy splits chart-bar volume using where close sits inside the bar's range blended with candle-body direction. Auto uses intrabar data when available and falls back to the proxy everywhere else.
• Bar delta — Buy volume minus sell volume for the current candle, plus buy% / sell% of total bar volume.
• CVD — Cumulative volume delta that adds each bar's delta and resets on your chosen anchor (session/day, week, month, or never).
• Pressure oscillator — Delta is EMA-smoothed, then normalized either as a Z-Score against its rolling mean/stdev (roughly −3..+3) or as % of Volume (−100..+100). This single value drives the state, gauge, and candle color.
• Signals — A BUY fires when pressure crosses up through zero; a SELL when it crosses down. Each flip must also pass a delta-expansion filter (absolute delta above a multiple of its recent average), optional price confirmation (up close for buys, down close for sells), an optional divergence requirement , and a cooldown that blocks stacked same-side signals. Signals only confirm on bar close.
• Divergence — Pivot highs/lows on price are compared against CVD at the same pivot. Price lower-low with CVD higher-low prints a Bull Div ; price higher-high with CVD lower-high prints a Bear Div . Each stays "active" for a set number of bars.
• VWAP + σ bands — Anchored VWAP with inner and outer standard-deviation channels, tinted green above / red below.
• No-volume guard — On assets that report no volume, signals switch off and the dashboard shows a clear notice instead of printing misleading data.
▎ HOW TO USE IT
• Read candle heat first: deep green = strong net buying, grey = balanced, deep red = strong net selling. Candles flash full color on a confirmed signal.
• Treat BUY / SELL pills as flow-flip alerts, not standalone entries. They are strongest when they agree with the CVD trend and VWAP location.
• Use CVD to judge conviction behind a move — price up while CVD falls warns the push is thin.
• Divergence labels mark spots where price and delta disagree — useful for anticipating exhaustion or reversal.
• Trade with the VWAP channel : above VWAP favors longs, band edges mark stretched conditions and mean-reversion zones.
• For fewer, higher-quality signals, turn on Require CVD Divergence and keep price confirmation on.
▎ KEY SETTINGS
• Engine — Delta method, intrabar timeframe (auto or manual), proxy close-vs-body weight, and delta smoothing.
• Pressure Oscillator — Normalization mode, lookback, and the Accumulation / Distribution thresholds.
• CVD & Divergence — Reset anchor, pivot length, recency window, and label caps.
• Signals — Expansion multiplier and baseline, price/divergence requirements, cooldown, and label size/cap.
• VWAP — Source, anchor, inner/outer σ multipliers, and colors.
• Visuals — Gradient candle toggle, saturation points, and the buy/neutral/sell color set.
• Dashboard — Show/hide, position, and text size.
▎ DASHBOARD
A top-right gradient panel reporting: delta source (LTF or Proxy), bar delta, session/cumulative CVD and its trend, buy% and sell%, the pressure value, a segmented flow gauge, the current State (Accumulation / Distribution / Neutral), active divergence, dominant side, VWAP location, and the last active signal — each cell color-coded by side.
▎ ALERTS
• Buy Pressure Flip — fires on a confirmed BUY signal.
• Sell Pressure Flip — fires on a confirmed SELL signal.
▎ NOTES
• Works on all timeframes and assets that report volume; degrades gracefully where volume is absent.
• Signals confirm on bar close, so labels and alerts do not repaint after the bar completes.
• Every visual layer — candles, VWAP, labels, dashboard — toggles independently for a clean chart.
• Delta is an estimate reconstructed from price and volume, not exchange-reported order flow.
For research and education only. This is not financial advice. No indicator can predict the future, and past behavior does not guarantee future results. Always do your own analysis and manage your own risk.
Made with passion by JackOfAllTrades ⚡ Indicator
Reversal Trap Probability Bands [BigBeluga]🔵 OVERVIEW
The Reversal Trap Probability Bands is an advanced technical indicator created by BigBeluga to identify and trade fakeout traps around market extremes. Traditional envelope or band indicators often fail because traders blindly enter breakouts that quickly reverse into whipsaw losses. In order to provide a solution to this problem, this indicator combines volatility-based envelope channels with a dynamic probability tracking engine, measuring historical RSI buckets to calculate real-time win probabilities for reversal traps.
The indicator aims to visualize institutional exhaustion and subsequent mean-reversion expansions. The core element of its calculation involves tracking baseline moving averages alongside outer volatility bounds defined as:
upper_band = basis + (multiplier * vola)
lower_band = basis - (multiplier * vola)
where basis is an exponential moving average of length envelope_len , and vola is the ATR volatility measure scaled by multiplier . Higher values of envelope_len and multiplier allow the indicator to filter out routine market noise and isolate major structural exhaustion points.
🔵 FEATURES
The system utilizes a multi-layered matrix structure to provide actionable market intelligence:
1 — Volatility Envelope & Basis Engine
envelope_len = input.int(55, "Envelope Smoothness") : Controls the responsiveness and smoothness of the central baseline.
upper_band & lower_band : Dynamic outer boundaries that shade gradient fills to visualize upper and lower market extremes.
2 — Reversal Trap Detection & RSI Probability Tracking
trap_window = input.int(10, "Trap Window (Candles)") : Defines the maximum candle count allowed outside the bands before invalidating a fakeout setup.
rsi_bucket = math.max(0, math.min(10, math.round(rsi / 10))) : Automatically categorizes momentum into distinct RSI tiers to calculate real-time win probability rates.
3 — Dynamic Target, Stop, & Signal Management
Bull_Stop = ta.lowest(low, 2) - atr & Bear_Stop = ta.highest(high, 2) + atr : Calculates volatility-adjusted safety padding for active trade management.
Signal Labels & Targets: Plots clear entry notifications displaying win probability percentages, along with dashed target and stop lines.
🔵 HOW TO USE
Apart from the basic visualization of volatility extremes, this tool can also act in alternative ways to support decision-making:
Identify Reversal Traps: Wait for price to break outside the upper or lower envelope boundaries and subsequently close back inside within the defined trap_window .
Evaluate Win Probability: Check the probability percentage displayed on the trap signal label (backed by historical RSI bucket tracking) before entering a trade.
Manage Risk with Stops and Targets: Use the projected dashed target lines (anchored to the basis line) and ATR-padded stop lines to execute and protect positions.
🔵 NOTES
Why this implementation is unique:
It moves beyond static band indicators by integrating a self-learning historical database that calculates live win probabilities based on momentum buckets.
The automated target and stop-loss line projection engine provides clear visual roadmaps for every triggered setup.
The script is fully optimized for Pine Script version 6, utilizing high-performance array tracking (`var int bull_total = array.new_int(11, 0)`) for smooth execution.
Note: Because the win probability engine evaluates historical trade performance dynamically in real time, initial signals on a freshly loaded chart may display "Tracking..." until sufficient sample data is recorded.
Indicator
Indicator
Strong V DOL FVG Signals | ProjectSyndicateStrong V DOL FVG Signals catches the moment a stop-hunt gets rejected so violently that price snaps back through the level it just raided — the V-shape — and it only takes that reversal when the snap-back leaves an institutional footprint behind and has somewhere real to go. Markets raid the obvious swing lows and highs to fill size against trapped traders. Most of those raids simply continue. The ones that matter reverse immediately: price stabs beyond the pool, refuses to accept the new low or high, and displaces back through the level in a handful of bars, carving a sharp V pivot instead of a slow rounded base.
That refusal is the event. The engine then demands a second thing most reversal tools never check — an imbalance created or flipped by that displacement, a Fair Value Gap or an Inversion FVG that gives the entry a structural edge — and a third thing almost none of them check: an explicit destination, the higher-timeframe Draw on Liquidity the move is actually running at. Sweep, refusal, imbalance, magnet. Every setup that clears all four gets a structural invalidation behind the V extreme, a DOL-anchored target ladder, a 0–10 V-Score with a star rank, and is tracked live on a two-card statistics dashboard — including honest stop-outs — so you can see exactly how the logic behaves on the symbol and timeframe you trade.
🧠 V-Shape Core
The core idea, expressed as a lifecycle: POOL ▸ RAID ▸ V-SHAPE ▸ INVERSION ▸ ENTRY ▸ DOL. A confirmed swing high or low defines where stops are resting — internal range liquidity. A raid happens when price trades beyond that pool by a minimum ATR depth, running the stops. The V-shape is the refusal: price must close back through the raided pool inside a reclaim window, and the recovery leg must survive three geometry gates before it counts. Swept lows flip to a LONG, swept highs to a SHORT. Pivots come from confirmed swings and every condition is evaluated on the bar's close, so the structure and the signal do not repaint once they confirm.
📐 The Three Geometry Gates — what separates a V from a bounce
This is the part that does the heavy lifting, because "price swept a low and came back" describes half of all price action. A qualifying V must satisfy all three simultaneously: Displacement — the distance from the V extreme to the reclaim close, measured in ATR, so the recovery has to be aggressive, not incidental. V Width — the bars between the extreme and the reclaim, capped, so a slow multi-bar grind is rejected no matter how far it travels. V Sharpness — displacement divided by width, the ATR-per-bar velocity of the snap-back, which is the single dial that most directly controls how violent a reversal has to be before the engine calls it a V. A wide, rounded recovery fails all three. A knife-edge rejection passes all three. Tighten sharpness for fewer, more explosive setups; loosen it for more activity.
🔀 FVG / IFVG Confirmation — the imbalance the displacement leaves behind
A qualified V is not yet a trade. The engine then looks for the institutional footprint of that displacement and uses it as the entry zone. An IFVG (Inversion FVG) is the premium case: an opposing three-candle Fair Value Gap that the displacement closed straight through, flipping its role from resistance to support (or support to resistance). That flip is proof the recovery had enough force to invalidate the prior imbalance, and a freshness window keeps only recently inverted gaps eligible. A fresh FVG is the fallback: a new three-candle gap left by the displacement leg itself. You choose the policy — IFVG → FVG (auto), IFVG only, or FVG only — and a minimum gap size in ATR filters out noise. If you want the pure geometry play, Require A Zone To Trade can be switched off so a qualified V fires on displacement alone, and the panel will tell you it was a RAW V entry.
🎯 Entry — retest limit or immediate
Two execution models. Retest Zone (limit) arms the imbalance and waits for price to trade back into it, filling at the zone edge — the patient version, which is why an arm window exists to discard setups that never come back, and why an armed setup is killed outright if price closes back beyond the V extreme before the retest. Immediate On Displacement fills at the confirmation close and accepts worse average location in exchange for never missing the ones that run without a pullback. Both are honest about what they are: the armed state, the zone range, and the expiry are all visible on the panel while you wait.
🧲 Draw on Liquidity — the target engine
Most reversal tools stop at a flat R multiple. This one asks where the move is actually going. The DOL engine maintains a live pool of higher-timeframe liquidity — swing highs and lows from a timeframe you choose, previous day high and low, optional previous week high and low, optional chart-timeframe swings — and tracks which of them have already been traded through. Only unswept levels can be targets, because liquidity that has already been taken is no longer a magnet. When a signal fires, the engine selects the nearest qualifying draw beyond the entry that sits inside a configurable R window, so it never targets something two ticks away or something unreachable this session, and that level becomes TP3. If nothing qualifies, it falls back cleanly to a flat R target and says so. Two live DOL rails are drawn at all times — the nearest unswept draw above and below current price — so you always know what the market is fishing for even when no setup is active.
🔋 V-Score Anatomy
A V-shape is not just true or false; it is scored for how clean the reversal is. The V-Score fuses six reversal-native ingredients into a single 0–10 read: sweep depth (how far past the pool the raid reached), displacement (how hard the recovery pushed), V sharpness (the velocity of the snap-back), rejection wick (how decisively the extreme bar was rejected), volume surge (participation on the reversal versus its baseline), and room to DOL (how much R the target actually offers — a setup with nowhere to go is scored down no matter how pretty the candle). Each ingredient carries its own adjustable weight. A higher-timeframe bias read then either adjusts the score or hard-filters the signal, your choice. You shape what qualifies through those weights and the geometry thresholds rather than chasing a single number.
🎯 Structural Invalidation + Universal Zones
The stop is anchored to the V, not guessed. Invalidation sits just beyond the V-shape extreme — the price that, if reclaimed, means the raid was real and the reversal failed — plus an ATR buffer for cushion. Universal Zone Height then clamps that distance between an ATR floor and an ATR ceiling, so one wide V can't draw a stop five times the height of the next and the R unit stays comparable across every signal on the chart. TP1 and TP2 are clean R multiples; TP3 is the DOL itself, reported with its true R multiple rather than a rounded one. Every signal plots its full Entry / SL / TP1 / TP2 / TP3 set, labeled level prices, a filled risk zone and reward zone, the raided liquidity level tagged IRL, a V-SHAPE tag on the extreme, the entry line doubling as the break-even rail, and an optional 0 / 0.5 equilibrium split — and every zone is drawn at the same fixed width, so a three-bar stop-out and a two-hundred-bar runner leave an identical, uniform footprint on the chart.
⭐ 0–10 Strength with Star Tiers
Every signal is labeled with its numeric V-Score, a star rank, and a tier ladder running WEAK → VALID → STRONG → ELITE, so the raw quality of a setup reads at a glance without checking the number. Treat the score as a cleanliness and confluence read for ranking and thinning setups — it describes how textbook a V-shape-into-imbalance is, not a guaranteed outcome. The Min V-Score gate restricts what fires, the Strong Tier threshold sets where the star ladder breaks, and the dashboard keeps tracking every closed trade in the background so you can see, on your own data, whether stricter settings actually convert better.
🎚️ Conviction Controls
A compact set of dials sets how serious a raid must be before it counts: the liquidity swing length that decides which pools qualify, the min sweep depth that defines a real stop run, the reclaim window that separates a sweep from genuine acceptance, the three geometry gates (displacement, V width, sharpness), the zone policy and min gap size, the IFVG freshness window, the arm window for retests, the min V-Score, the HTF bias mode, and the risk floor and cap. Tighten them for rare, violent, textbook reversals; loosen them for more activity. This is your main control over conviction versus frequency.
🧭 Single-Ticket Discipline & Honest Accounting
Only one ticket is active at a time, so one chaotic session can't stack overlapping trades — a signal that fires while a trade is running is still labeled and still shown in the scenario panel, marked plainly as SIGNAL ONLY, but it is not double-counted in the statistics. Resolution is SL-first pessimistic: when a bar touches both a target and the stop, the stop wins, because intrabar sequence is unknowable. Partial targets are booked honestly — a trade that reaches TP1 or TP2 and is later stopped books the highest target it actually reached rather than being rounded up to a full win or buried. Armed setups that never get their retest expire instead of lingering. The max-drawn-trades cap is visual only — it thins old drawings off the chart while the statistics stay cumulative over the entire history.
📊 Two-Card Live Dashboard
A non-intrusive panel, built as two visually separate cards divided by a transparent spacer so the chart shows through the gap.
Card 1 · MODEL tracks the engine in real time: current status (waiting → sweeping → armed → in trade), the higher-timeframe bias, the live V-Score as a gauge with its tier, the armed entry zone and its price range, the nearest unswept DOL above and below with ATR distance, the last signal and its stars, win rate with the raw closed-trade count, profit factor, average R per trade, long versus short win rate, current and max streaks, and a TP1 / TP2 / TP3 / SL outcome breakdown.
Card 2 · SCENARIO is the full anatomy of the newest signal, always on and always visible: the setup with its score and tier, the confirmation type (IFVG, FVG, or RAW V) with the exact zone range, the raided IRL level with its sweep depth in ATR, the V geometry expressed as displacement, bar count and velocity, the entry price, the invalidation with its ATR width, TP1 and TP2, the DOL target with its R multiple, whether the HTF bias agreed, and the outcome — running live open R while the trade is on, then locking to the terminal result.
Every filled trade that reaches an outcome is counted — winners and stop-outs alike — so the numbers are computed live from the real signals on your current symbol and timeframe, not a figure printed in a description.
🎨 Clean Themed Visuals
Six coherent palettes, all tuned for a black chart background — Aurora (the clean mint-and-rose default), Gold Noir, Ice Blue, Aqua Violet, Neon Magenta, and Institutional — shade the signal labels, the risk and reward zones, the imbalance zone, the raided-liquidity band, the DOL rails and the dashboard to one consistent look, so direction and quality read at a glance. Each reversal prints a labeled V-SHAPE LONG or V-SHAPE SHORT signal carrying its score, star tier, and confirmation type.
🔔 Detailed Alerts
Fires on V-Shape Armed LONG and SHORT (a qualified V has formed and its zone is waiting for the retest — the early warning), V-Shape Entry LONG and SHORT, any entry, and on Final Target Hit and Stop Hit, formatted for manual or automated use.
🔧 Fully Customizable
Every component is exposed: the liquidity swing length, ATR length, reclaim window and min sweep depth; the displacement, V width and sharpness gates plus the volume baseline; the zone policy, min gap size, inversion freshness, entry trigger and arm window; the DOL timeframe, swing length, day and week level sources, and the min and max target distance in R; the risk buffer, universal-height floor and cap, the R targets, the uniform zone width and the max drawn trades; the min V-Score, strong-tier threshold, long and short toggles, HTF bias mode and timeframe, and each of the six score weights; the dashboard position, size, card gap and every section toggle; all six themes; and every label, line, box, tag and zone.
🎯 Why this is different
Most sweep tools fire on the raid and hope. Most FVG tools draw every gap on the chart and leave you to guess which one matters. This one requires all three layers to line up in sequence: liquidity must actually be raided, the recovery must be violent enough to qualify as a V on three independent geometry measures, and the displacement must leave or flip an imbalance that becomes the entry — then it anchors invalidation behind the V extreme, targets a real unswept higher-timeframe draw instead of an arbitrary R multiple, ranks the whole thing on an objective 0–10 scale, and layers a live, honest statistics panel that counts stop-outs in full. You tune and judge it on real, current data from your own chart instead of a marketing number.
🚀 Where to use it
The mechanics are symbol-agnostic and rest on universal behavior: every liquid market raids its obvious highs and lows, and some of those raids fail immediately. It suits index futures, gold and metals, FX majors and crosses, and crypto on intraday timeframes, where session raids and stop-runs are a constant feature and the higher-timeframe draw is well defined. Because it fades exhaustion, it shines around session extremes and range edges and demands more care in violent one-way trends, where a raid can keep extending rather than reject. Lower timeframes produce more V-shapes but noisier ones — raise the sharpness and min-score gates as you go down. Let the dashboard tell you whether the logic suits the pair and timeframe before you commit.
🎯 How to trade it
Apply it to a liquid symbol on an intraday timeframe and let the dashboard populate. Read the live win rate, profit factor and average R for your symbol and timeframe first — if the logic doesn't suit that market, you'll see it there before you risk anything.
Watch the DOL rails to frame the session — they show the unswept liquidity above and below, which is where price is being pulled.
Wait for a labeled V-SHAPE LONG / SHORT signal. It marks a confirmed close where a pool was raided, the recovery cleared all three geometry gates, and an imbalance confirmed the entry — with score, tier, and the full Entry / SL / TP1 / TP2 / TP3 already plotted.
Read the Scenario card for the fast conviction check: an IFVG confirmation, a deep sweep, high velocity and plenty of R to the DOL is the textbook version. RAW V with thin room to target is the marginal one.
Manage with the plotted levels — the structural stop behind the V defines your risk, TP1 and TP2 are your R scale-outs, and TP3 is the draw the move is actually hunting. Bank or trail however suits your style.
Use the sharpness gate, min V-Score, zone policy and HTF bias filter to set your tempo — stricter for rare, textbook reversals; looser for more activity.
⚠️ Important
This is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. The default settings are sensible starting points, not the output of a historical optimization study — they have not been curve-fit to any one symbol, and you should expect to adjust the geometry gates and score threshold for your market before the signal quality is where you want it. Behavior will vary by symbol, timeframe, session and configuration; the dashboard's statistics are historical and descriptive, not a forecast.
The trade model resolves stop-first and books partial-target exits honestly, so some trades close for a fraction of a target rather than a full win — these are counted in full, which is honest but means win rate alone is misleading; always weigh it together with average R and profit factor. Because TP3 tracks a real liquidity draw rather than a fixed multiple, R per trade varies by design — a 2R target and an 8R target are both legitimate outcomes of the same logic, and the average R figure is the number that reconciles them.
Signals confirm on the closed bar, and the pivot-based liquidity pools confirm a few bars after a swing forms — so the armed state appears slightly after the raw extreme prints, which is inherent to pivot confirmation and is exactly why the retest entry mode exists. Always wait for the labeled signal on a closed candle. Because the system fades a move, a real breakout or a raid that keeps extending can run straight through a stop — combine it with your own analysis and risk management, and test it on your market before trading it live. Indicator
Pump Detector Pro🚀 Pump Detector Pro by (@Madrimov_trade)
Pump Detector Pro is a market-structure and momentum-based indicator designed primarily for swing and position-style trades on low- to mid-cap altcoins.
It is best suited for the 2H, 4H, and 1D timeframes, with the goal of identifying potential reversal and continuation setups before a strong expansion or pump.
The indicator combines multiple forms of confluence:
💧 Liquidity Sweeps — identifies potential liquidity grabs around important highs and lows
🔄 CHoCH (Change of Character) — helps identify potential market-structure reversals
📈 BOS (Break of Structure) — identifies potential continuation moves
📊 Volume Confirmation — looks for increased participation behind the move
🟦 Liquidity Voids / FVGs — highlights areas of inefficient price movement
💦 BSL / SSL Levels — Buy-Side and Sell-Side Liquidity areas
🟢 BUY / SELL Signals — generated from structural and volume confluence
🎯 TP / SL Levels — provides dynamic trade-management levels based on ATR and market structure
🧭 How to Use
1️⃣ Find the Right Coin
Start by looking for a low- or mid-cap altcoin that has either:
📉 Experienced a significant dump and is now stabilizing, or
↔️ Been consolidating in a range for an extended period
Avoid chasing coins that have already made a large move upward.
The best setups generally appear when price has spent enough time building a base or recovering after a major decline.
2️⃣ Wait for a Liquidity Sweep 💧
Look for price to sweep liquidity below an important low or consolidation range.
This can indicate that sell-side liquidity has been taken before a potential reversal.
⚠️ A liquidity sweep alone is not an entry signal. Wait for further confirmation.
3️⃣ Wait for CHoCH / BOS 🔄
After the liquidity sweep, wait for a bullish CHoCH (Change of Character) or BOS (Break of Structure).
This is used as confirmation that market structure is beginning to shift in the bullish direction.
4️⃣ Wait for the BUY Signal 🟢
Once the structure confirms, wait for the indicator's BUY signal.
The strongest setups are when the following align:
📉 Dump / Long Consolidation → 💧 Liquidity Sweep → 🔄 Bullish CHoCH/BOS → 📊 Volume Confirmation → 🟢 BUY
Do not enter simply because a BUY label appears. Always consider the broader price structure and the location of the signal.
🎯 Trade Management
For potential pump setups, look for a minimum target of approximately 1.5× the entry price when the market structure and liquidity allow it.
For stop-loss placement, consider:
🛑 The lowest point of the consolidation/range, or
📐 A stop based on your planned risk-to-reward ratio
Always define your invalidation level before entering the trade.
The indicator's built-in TP/SL levels are dynamic and based on ATR and market structure. They should be treated as a guide rather than a guaranteed exit strategy.
🚫 What to Ignore
❌ Ignore BUY Signals at the Top
Avoid BUY signals that appear after price has already made a large pump or is trading near a major resistance/high.
A signal is not automatically a good trade just because it says "BUY."
❌ Ignore SELL Signals After a Major Dump
Be cautious with SELL signals when price has already experienced a significant decline and is consolidating near its All-Time Low (ATL) or a major historical support area.
Selling after an extended dump can mean entering late into the move.
⚠️ Don't Trade Signals Blindly
The indicator is designed to help identify potential opportunities, not to guarantee profitable trades.
Always consider:
📊 Market structure
💧 Liquidity
📈 Volume
🕐 Higher-timeframe trend
🧱 Support and resistance
🌐 Overall crypto market conditions
⚖️ Risk-to-reward ratio
📰 Coin-specific news and fundamentals
⏱️ Recommended Timeframes
🥇 Primary: 4H
🥈 Secondary: 2H
🔎 Higher-Timeframe Confirmation: 1D
The indicator is primarily designed for low- and mid-cap altcoins, especially assets that can experience rapid volatility and strong expansion moves.
📝 Simple Strategy
1️⃣ Find a dumped or long-consolidating low/mid-cap altcoin.
↓
2️⃣ Wait for a liquidity sweep. 💧
↓
3️⃣ Wait for bullish CHoCH/BOS. 🔄
↓
4️⃣ Wait for BUY + volume confirmation. 🟢
↓
5️⃣ Enter only if the setup has sufficient upside potential. 🚀
↓
6️⃣ Set your stop below the invalidation/consolidation low. 🛑
↓
7️⃣ Target at least ~1.5× when market structure supports it. 🎯
⚠️ Important
This indicator is a technical analysis tool, not financial advice. No indicator can predict pumps with certainty.
Always manage your risk, use proper position sizing, and never risk more than you can afford to lose. Indicator
3D Trend Vortex [BOSWaves]3D Trend Vortex - Slope-Adaptive Gradient Bands with Polyline 3D Extrusion and Zone Entry Signal Detection
Overview
3D Trend Vortex is a slope-driven trend band system that constructs a pair of eight-layer gradient bands positioned above and below price using ATR-scaled offsets from a configurable moving average baseline, where band width breathes inversely with slope magnitude, candle gradient intensity reflects normalized slope strength, and a polyline-based three-dimensional extrusion renders the outer and inner band edges as volumetric ribbon geometry that follows the bands across the configured display length.
Instead of relying on static symmetric bands or fixed volatility channels, the band width contracts when trend slope is strong and expands when slope is flat or weakening, producing a visual breathing effect that communicates momentum intensity through band geometry rather than through a separate indicator. The eight gradient fill layers within each band progress from near-transparent at the inner edge to full opacity at the outer edge, creating a visual depth effect that reinforces the three-dimensional extrusion rendered at the current bar.
This creates a trend framework where every visual layer simultaneously communicates the same underlying information from a different angle. The gradient bands reveal momentum intensity through their width. The candle gradient communicates slope conviction through brightness. The 3D extrusion at the band edges provides spatial depth cues that make the band structure immediately readable across varying zoom levels. Signal labels fire when price first enters either band after the cooldown period, identifying the specific bars where price has moved into the zone of interest defined by the ATR-offset band boundary.
Price is therefore tracked not just for its directional relationship to the basis MA but for its position within or outside a dynamically breathing gradient band system whose visual geometry encodes slope strength and momentum quality on every bar.
Conceptual Framework
3D Trend Vortex is founded on the principle that trend band visualization should communicate momentum quality through the geometric properties of the bands themselves rather than requiring separate momentum indicators, and that introducing three-dimensional spatial depth into the band rendering provides immediate structural legibility that flat two-dimensional bands cannot achieve regardless of color or transparency settings.
Traditional band indicators apply fixed widths or static volatility multiples that remain visually identical whether momentum is surging or stalling, requiring traders to consult separate oscillators for conviction context. This framework embeds conviction directly into band geometry through the breathing width mechanism, where strong slope produces tighter, more concentrated bands reflecting focused directional commitment and weak slope produces wider, more diffuse bands reflecting reduced momentum quality. The three-dimensional extrusion layer adds spatial depth cues that reinforce the structural separation between the supply zone above price and the demand zone below.
Three core principles guide the design:
Band width should adapt to slope magnitude, contracting during strong momentum and expanding during low-conviction conditions, encoding trend health directly into the geometric properties of the bands without requiring a separate momentum indicator.
The gradient fill system across eight layers within each band should provide visual depth that reinforces the three-dimensional extrusion, creating a consistent spatial reading between the flat fill and the extruded geometry at the current bar edge.
Signals should fire on first entry into band territory after the cooldown period rather than on crossover of a single line, capturing the structural significance of price reaching the offset zone while preventing signal clustering during extended band interactions.
This shifts trend band analysis from static channel monitoring into a momentum-adaptive visual system where band breathing, candle intensity, and three-dimensional geometry collectively communicate trend conviction across every bar of the display window.
Theoretical Foundation
The indicator combines configurable moving average baseline selection, ATR-based band offset and width calculation with slope-driven breathing modulation, eight-level gradient fill construction across inner-to-outer band subdivisions, polyline-based three-dimensional extrusion geometry using depth offset coordinates, and slope-normalized candle gradient coloring.
The basis MA is computed in the selected type over the configured length and the three-bar slope is measured as the difference between current and three-bar-lagged values. The slope magnitude is normalized against its highest value over an eighty-bar window, producing a 0-1 score that drives the breathing multiplier applied to the band width. ATR is smoothed over fifty bars to reduce sensitivity to individual volatility spikes, providing a stable scaling unit for both band offset and width calculations. The eight gradient fill layers divide the inner-to-outer band distance into equal steps with progressively increasing opacity, connecting smoothly to the polyline faces of the 3D extrusion that render the outer edge face, top face, and inner top face as separate filled polygon regions at configurable depth offsets.
Four internal systems operate in tandem:
Slope-Adaptive Band Engine : Calculates ATR-smoothed band offset and width, applies EMA smoothing to all four band edges, and modulates total band width by a breathing factor derived from normalized slope magnitude so that bands contract proportionally during high-momentum conditions.
Eight-Layer Gradient Fill System : Subdivides the inner-to-outer band width into eight equal steps and fills each interval with progressively decreasing transparency, producing a continuous opacity gradient from the near-transparent inner edge to the full-opacity outer edge across both the top and bottom bands.
Three-Dimensional Extrusion Engine : On the last bar, constructs polyline polygon arrays for the outer face, top face, and inner top face of each band by combining current bar coordinates with depth-offset coordinates at the configured bar and ATR depth, rendering six filled polyline regions that create the illusion of volumetric band geometry extending from the current bar edge into the chart space.
Zone Entry Signal System : Monitors price crossing into the top or bottom band on each bar, applying independent cooldown tracking for each side to prevent signal clustering during extended band interactions.
This design allows band geometry, candle coloring, and 3D extrusion to all derive from the same underlying slope and ATR measurements, ensuring visual consistency across every layer of the indicator.
How It Works
3D Trend Vortex evaluates price through a sequence of slope-aware band construction and visualization processes:
Basis MA Calculation : The selected moving average type is calculated over the configured length, providing the directional baseline from which all band positions and slope measurements are derived.
ATR Smoothing : Raw ATR over fourteen bars is smoothed with a fifty-bar SMA to produce a stable volatility unit that prevents individual spike bars from distorting band positioning across the display window.
Slope Measurement and Normalization : The three-bar change in basis MA is measured and its absolute value is normalized against the highest absolute slope over eighty bars, producing a 0-1 score reflecting how strong the current slope is relative to recent momentum history.
Breathing Width Calculation : The normalized slope score is scaled and subtracted from 1.0 to produce a breathing multiplier that reduces band width proportionally during high-slope conditions, causing bands to contract during strong momentum and expand during low-conviction flat conditions.
Band Edge Calculation and Smoothing : Inner and outer edges for both the top and bottom bands are calculated by adding and subtracting ATR-scaled offset and width values from the basis MA, then smoothed with the configured EMA length to prevent jagged edge movement.
Eight-Layer Gradient Fill Rendering : The inner-to-outer distance of each band is divided into eight equal steps and plot-fill pairs are rendered at each subdivision with transparency increasing from outer to inner, producing a smooth opacity gradient across the band depth.
Candle Gradient Coloring : The normalized slope score is power-transformed and mapped to a gradient from a dimmed version of the trend color at low slope to full saturation at high slope, coloring chart candles proportionally to current momentum conviction.
Zone Entry Detection : Price crossing into the top band from below or the bottom band from above is detected with independent cooldown tracking for each side. When entry is confirmed and cooldown is satisfied, a signal label is placed at the bar high or low respectively.
3D Extrusion Construction : On the last bar, polyline arrays are constructed for each of the six extruded faces using combinations of current and depth-offset bar indices and price coordinates, rendering the outer face, top face, and inner top face for both the top and bottom bands as filled polygon regions.
Together, these elements form a continuously updating slope-adaptive band system where gradient geometry, candle brightness, and three-dimensional extrusion simultaneously communicate trend direction, momentum conviction, and structural band positioning across the full display window.
Interpretation
3D Trend Vortex should be interpreted as a slope-driven momentum band system with spatial depth visualization and zone entry monitoring:
Bullish Trend State (Green) : Active when the basis MA slope is positive, with the bottom gradient band rendered in green and candles coloring green with intensity proportional to slope strength.
Bearish Trend State (Red) : Active when the basis MA slope is negative, with the top gradient band rendered in red and candles coloring red with intensity proportional to slope strength.
Band Width Dynamics : Narrow bands indicate strong slope momentum with high directional conviction. Wide bands indicate weak slope with reduced momentum quality. Monitoring band width evolution provides real-time conviction context without requiring a separate momentum oscillator.
Eight-Layer Gradient Fill : The opacity gradient from inner to outer edge provides visual depth within each band, with the near-transparent inner boundary representing the threshold where price enters the zone of interest and the fully opaque outer boundary representing the extreme of the ATR-scaled offset distance.
3D Extrusion : The three-dimensional polyline faces rendered at the current bar edge provide spatial depth cues that reinforce the structural separation between the top supply zone and bottom demand zone, making band positioning immediately readable across varying chart zoom levels.
▲ Buy Signals : Green upward triangles mark the first bar where price enters the bottom band after the cooldown period, identifying price reaching the lower ATR-offset zone of interest.
▼ Sell Signals : Red downward triangles mark the first bar where price enters the top band after the cooldown period, identifying price reaching the upper ATR-offset zone of interest.
Candle Gradient : Price candles brighten toward full trend color saturation as slope strengthens and dim toward a muted version of the trend color as slope weakens, providing bar-level momentum conviction readings directly on the candlestick display.
Band width dynamics, candle gradient intensity, signal zone entry, and 3D extrusion depth collectively provide more momentum and structural context than any element in isolation.
Signal Logic & Visual Cues
3D Trend Vortex presents two zone entry signal types with independent cooldown enforcement:
Buy Signal (▲) : Green triangle placed below the bar when price first closes below the bottom band inner edge after the configured cooldown period has elapsed since the previous buy signal, identifying price entry into the lower ATR-offset demand zone.
Sell Signal (▼) : Red triangle placed above the bar when price first closes above the top band inner edge after the configured cooldown period has elapsed since the previous sell signal, identifying price entry into the upper ATR-offset supply zone.
Independent per-side cooldown tracking prevents consecutive signals on the same side while allowing the opposite side to signal freely, ensuring that transitions between upper and lower zone interactions are captured without artificial suppression.
Alert generation covers buy and sell zone entry events for systematic monitoring workflows.
Strategy Integration
3D Trend Vortex fits within momentum-informed band interaction and zone-based directional approaches:
Band Width Conviction Reading : Use band width as a continuous momentum quality gauge. Entering a position during a narrow-band high-slope period indicates stronger directional conviction than entries during wide-band low-slope conditions where momentum quality is reduced.
Zone Entry Signal Framework : Use buy and sell signals as structural alerts that price has reached the ATR-offset zone of interest rather than as standalone entry triggers. Evaluate slope direction and band width at the signal bar to assess whether the zone entry occurs during supporting or deteriorating momentum conditions.
Candle Gradient Momentum Monitoring : Use the brightness of trend-colored candles as a bar-level momentum reading throughout the trend. Progressively brightening candles indicate strengthening slope. Dimming candles within an established trend suggest momentum deterioration before band width changes confirm it visually.
3D Extrusion Spatial Reference : Use the three-dimensional band faces at the current bar edge as a visual anchor for where the current supply and demand zones sit relative to price, with the depth extending into future chart space providing an intuitive structural reference for the zone boundaries.
Basis Type Selection : Use EMA for standard responsive trend tracking. Use HMA for lower-lag applications requiring faster slope detection with minimal smoothing delay. Use WMA for weighted recent-bar emphasis. Use SMA for a simpler unweighted baseline reference.
Multi-Timeframe Band Alignment : Apply higher-timeframe slope direction and band positioning as a directional bias filter, engaging with lower-timeframe zone entry signals only when they align with the established higher-timeframe momentum state.
Technical Implementation Details
Basis Engine : Configurable EMA, SMA, WMA, or HMA with slope measurement and normalization against eighty-bar highest absolute slope
Band Construction : Smoothed ATR offset and width with slope-derived breathing modulation across four band edges
Gradient System : Eight equal subdivisions between inner and outer band edges with plot-fill pairs at progressively increasing transparency
3D Extrusion : Polyline polygon arrays for outer face, top face, and inner top face of each band using depth-offset bar index and ATR height coordinates
Signal Logic : Zone entry detection with independent per-side cooldown bar tracking
Candle Coloring : Power-transformed slope normalization mapped to trend-color gradient
Performance Profile : 3D extrusion triggered only on last bar with full polyline rebuild and cleanup each render cycle, configurable display length cap for object management
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Intraday zone monitoring for scalping with shorter basis length and tighter band offset for responsive zone positioning on fast intraday momentum
15 - 60 min : Session-level momentum band tracking with balanced basis length and moderate offset for meaningful zone separation across typical intraday swings
4H - Daily : Swing-level momentum band analysis with longer basis length for sustained slope readings and wider offset reflecting larger price excursions from trend
Suggested Baseline Configuration:
Basis Length : 21
Basis Type : EMA
Band Offset (ATR×) : 3.0
Band Width (ATR×) : 0.9
Band Smoothing : 65
3D Display Length : 400
3D Depth (Bars) : 8
3D Height (ATR×) : 0.5
Show Signals : Enabled
Signal Cooldown : 20
Color Candles : Enabled (requires disabling original chart candles in chart settings)
These suggested parameters should be used as a baseline; their effectiveness depends on the instrument's volatility characteristics, typical ATR range, and preferred band sensitivity, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Bands too far from price : Decrease Band Offset to bring the inner band edge closer to price, reducing the ATR distance required for price to reach the signal zone.
Bands too close to price : Increase Band Offset to push bands further from price, requiring more significant price extension before zone entry signals fire.
Band width breathing too pronounced : The breathing effect scales with slope normalization. On instruments with highly variable slope the breathing range may appear extreme. Reduce Band Width to compress the overall width range and make breathing less visually dramatic.
Bands too jagged or smooth : Adjust Band Smoothing to control EMA smoothing on band edges. Higher values produce smoother, more gradual band curves. Lower values produce more responsive edges that track price structure changes faster.
Too many signals : Increase Signal Cooldown to enforce greater bar separation between consecutive zone entry signals on the same side, focusing attention on less frequent but more structurally spaced entries.
3D extrusion too deep or shallow : Adjust 3D Depth (Bars) to change the horizontal extent of the extruded faces and 3D Height (ATR×) to change the vertical depth of the extrusion, calibrating the spatial effect to the chart's aspect ratio and zoom level.
3D extrusion covers too many or too few bars : Adjust 3D Display Length to control how many recent bars receive the polyline extrusion rendering, reducing for performance on slower systems or increasing to extend the visual depth effect further back into price history.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Trending markets with clear directional momentum where slope normalization produces meaningful band breathing dynamics and candle gradient provides reliable conviction context throughout the trend
Instruments with consistent ATR behavior where the volatility-scaled band offset positions zones at structurally meaningful distances from price across varying market conditions
Zone interaction strategies where price reaching the ATR-offset band boundary identifies structurally significant extension events worth monitoring for reversal or continuation behavior
Visualization-focused workflows where the three-dimensional band geometry provides spatial chart reading advantages that improve structural awareness relative to flat two-dimensional bands
Reduced Effectiveness:
Choppy, trendless markets where slope alternates rapidly in direction, causing frequent trend color flips and band breathing that produces no sustained directional momentum context
Extremely high-volatility instruments where ATR spikes push band offsets to distances so large that price rarely reaches the zone boundaries and signals become infrequent regardless of cooldown settings
Low-ATR instruments where the extrusion height and band width produce visually imperceptible geometry requiring significant parameter adjustment to produce meaningful spatial depth
Markets with highly irregular slope profiles where the eighty-bar normalization window consistently registers outlier slope readings that compress the breathing range for typical bars
Consolidation environments where flat slope produces maximum band width expansion and near-neutral candle coloring simultaneously, reducing the visual differentiation that makes momentum context readable
Integration Guidelines
Confluence : Combine with BOSWaves order flow tools, structural analysis, or momentum oscillators to validate zone entry signals with broader analytical context before acting on band boundary interactions
Band Breathing Awareness : Monitor band width evolution throughout established trends as a continuous slope health indicator. Progressively widening bands during a trend suggest slope is weakening and conviction is diminishing before price structure confirms the change.
Candle Gradient Divergence : Watch for price extending toward the outer band while candles are simultaneously dimming, indicating momentum deterioration during price extension that may precede reversal toward the basis MA.
3D Depth Calibration : Adjust 3D Depth and Height parameters until the extrusion provides clear spatial depth without obscuring price action. The extrusion is a visualization aid and should complement rather than dominate the chart reading experience.
State Discipline : Maintain directional bias aligned with current slope direction until slope reverses. Zone entry signals within the same trend direction represent extension events rather than reversal triggers and should be interpreted as monitoring alerts rather than directional change signals.
Disclaimer
3D Trend Vortex is a professional-grade slope-adaptive trend visualization and zone monitoring tool. It uses moving average slope normalization with ATR-scaled breathing band construction and polyline three-dimensional extrusion but does not predict future price movements. Results depend on market conditions, instrument momentum characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates order flow context, structural analysis, and comprehensive risk management. Indicator
