Judas Swing Detector [AGPro Series]Judas Swing Detector
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OVERVIEW
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The Judas Swing is a well-known intraday pattern in ICT (Inner Circle Trader)
methodology describing how price often makes a deceptive initial move at the
London or New York session open — pulling in participants in one direction —
before reversing to reveal the session's true directional bias.
Judas Swing Detector systematically identifies, visualizes, and tracks this
pattern across every London and New York session open. It shades the trap
zone, flags the reversal bar, highlights the true-direction bias, and maintains
a rolling 20-session performance log so users can assess how consistently the
pattern resolves on their chosen symbol and timeframe.
IMPORTANT — Timeframe requirement: This indicator is designed for intraday
charts of 1 hour or lower (1m, 5m, 15m, 30m, 1h). Session windows anchor the
entire logic, and a 1-hour Judas window cannot be resolved on 4-hour or higher
charts. The panel always shows an "Optimal TF: 1m - 1h" footer, and the TF
status row turns yellow with "use <=1h" if the current chart exceeds this
range.
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UNIQUE EDGE
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Unlike generic session-open or breakout indicators, Judas Swing Detector is
built around a defined four-state lifecycle (Pending → Active → Forming →
Confirmed / Failed) with ATR-normalized thresholds, so detection remains
stable across different volatility regimes and asset classes.
Three design choices make it distinct:
1. Independent two-way extremum tracking inside the Judas window — both the
maximum upward and maximum downward excursion are recorded, and the larger
of the two is declared the fake move when the window closes. This removes
ambiguity in choppy openings.
2. Separate fake-move and reversal thresholds. The initial push must exceed
a minimum ATR-scaled size to qualify, and the reversal must travel a second
ATR-scaled distance beyond the session open — filtering out shallow round
trips that would otherwise inflate the signal count.
3. Rolling 20-session statistics panel reporting success rate, average fake
distance, and directional bias, giving discretionary traders an objective
view of how the pattern is behaving on their instrument before they act on
it.
4. Support/resistance-style invalidation zone drawn at the fake-move extremum
after confirmation. This gives a clear visual anchor: if price later
re-enters this zone from the opposite side during the session, the Judas
read is considered broken. The zone is a reference, not an automatic
signal.
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METHODOLOGY
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Step 1 — Session anchoring
At the first bar of the configured London or New York window the script
records the session open price, resets the two-way extremum trackers, and
transitions to the Active state.
Step 2 — Fake-move accumulation
During the window the script tracks both the maximum high and minimum low
relative to the session open. Neither is committed as the fake move until the
window closes.
Step 3 — Window-close evaluation
When the window ends the larger excursion (up vs down) becomes the fake
direction. If its size reaches the user-defined ATR multiple it qualifies and
the script transitions to the Forming state; otherwise it resets to idle.
Step 4 — Reversal confirmation
In the Forming state the script waits for price to cross the session open in
the opposite direction of the fake move and travel at least the configured
ATR-scaled distance beyond it. When that happens the swing is Confirmed and
the true direction is drawn on the chart. If the reversal window expires
without confirmation the swing is recorded as Failed.
Step 5 — History log
Every confirmed and failed outcome is appended to a rolling 20-session log
used by the statistics panel.
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SIGNALS & ALERTS
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On-chart visuals:
• Dashed vertical line at session start (accent color)
• "LON" or "NY" label at the session anchor bar (Balanced / Detailed only)
• Shaded fake-move box from session open to fake extremum, colored opposite
to the true direction (a bearish trap is shaded in the bear tone because
the true direction is down — and vice versa)
• Optional "Fake" distance label at the extremum (Detailed density only)
• Reversal marker "X UP" or "X DOWN" at the confirmation bar, offset
from the candles for readability
• Horizontal support/resistance-style invalidation zone around the fake
extremum, extending 40 bars to the right — a visual reference for where
the Judas read would break down if price re-enters the zone
Alert conditions (toggle individually in settings):
• Judas Swing Forming — fake move has qualified, waiting for reversal
• Judas Swing Confirmed — reversal threshold crossed, true direction known
• Judas Swing Failed — reversal window expired without confirmation
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KEY INPUTS
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Session Windows
• Track London Open — toggle London session monitoring
• London Judas Window (NY time) — session string, default 0200-0300
• Track New York Open — toggle NY session monitoring
• NY Judas Window (NY time) — session string, default 0930-1030
• Session Timezone — timezone used to interpret the windows
• Reversal Window (minutes) — maximum time after window close in which a
valid reversal can still be recorded
Detection Logic
• Min Fake-Move Size (ATR mult) — minimum excursion required to qualify
• Reversal Confirmation (ATR mult) — distance beyond session open needed
to confirm the reversal
• ATR Length — lookback for threshold scaling
Visuals
• Show Session Start Line, Show Fake-Move Zone, Show Reversal Marker,
Show Invalidation Zone — individual visual toggles
• Label Density — Minimal / Balanced / Detailed
• Font Size — tiny / small / normal / large (applies to labels and panel)
• Theme — Dark / Light (panel only, chart candles unaffected)
Panel
• Show Info Panel — master toggle
• Panel Location — 6 chart positions
• Always displays: current session, state, true direction, fake distance,
rolling 20-session statistics (success rate, avg distance, bull/bear
bias), current TF status, and a footer reminding the optimal timeframe
range
Alerts — three individual toggles (Forming / Confirmed / Failed)
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HOW TO USE
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Supported timeframes: 1m, 5m, 15m, 30m, 1h. These resolve a session's early
structure cleanly while keeping enough bars inside each Judas window for the
extremum tracker to work with. Recommended default: 15m or 1h.
Not supported: 4h, 1D, 1W. On these timeframes a single bar exceeds the
session window, so nothing is detected. The panel will show a yellow "use
<=1h" hint if you accidentally switch to one of these.
Recommended instruments: FX majors (EURUSD, GBPUSD, USDJPY), index futures
(NQ, ES), liquid crypto (BTC, ETH). The ATR-normalized thresholds keep the
logic portable across these asset classes.
Workflow suggestion:
1. Apply the indicator and let it observe several sessions so the panel
populates a meaningful sample.
2. Review the 20-session success rate on your specific symbol and timeframe.
This is not a forecast — it is a descriptive statistic of how the pattern
has resolved in recent history on that chart.
3. Use the Forming alert as a heads-up, and the Confirmed alert as the main
event. The true-direction arrow marks the bias of the remaining session,
not a trade entry or exit.
4. Combine with your own structural context — higher timeframe bias, key
levels, liquidity pools — before acting on any signal.
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LIMITATIONS & TRANSPARENCY
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• Not a strategy. This is a discretionary analysis tool; it neither places
orders nor implies any specific trade setup.
• Intraday timeframes only. The logic requires 1h or lower charts to resolve
the session windows. On 4h, 1D or higher the indicator will not detect
anything and the panel will show a "use <=1h" notice.
• No forecasting. Displayed statistics describe past behavior on the current
chart only and do not imply future performance.
• Pattern-dependent. When price opens and trends cleanly in one direction
without a fake move, the pattern legitimately will not trigger. Low
signal count on such sessions is expected behavior, not a malfunction.
• Session boundary sensitivity. Results depend on the configured session
windows and timezone. Outside the major FX and equities session hours the
ICT framing may not translate cleanly.
• Extreme-volatility sessions. During very large gaps or news spikes the ATR
thresholds can be dominated by a single bar; users should review the
defaults in those conditions.
• Symbol coverage. Pip conversion handles forex and JPY pairs explicitly and
falls back to tick-based sizing for other asset types. Values are intended
as relative magnitudes, not broker-specific pip quotes.
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RISK DISCLOSURE
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This indicator is provided for educational and analytical purposes only. It
does not constitute financial advice, a recommendation, or a solicitation to
buy or sell any instrument. Trading involves substantial risk of loss; past
pattern behavior is not indicative of future results. Users are responsible
for their own trading decisions and for verifying that any signal aligns with
their own methodology and risk management.
The source code is published under the Mozilla Public License 2.0. Feedback
and constructive suggestions are welcome. Indicator
AG Pro Daily Open Acceptance Map [AGPro Series]AG PRO DAILY OPEN ACCEPTANCE MAP
OVERVIEW
AG Pro Daily Open Acceptance Map is an intraday overlay built to track how price behaves around the current daily open and to present that behavior in a clean, rules-based structure. Instead of treating the daily open as a passive reference line, this script evaluates whether price is being accepted above it, accepted below it, or repeatedly failing around it.
The core design goal is clarity. Many traders use the daily open as a contextual anchor, but in practice it is often shown as only a simple line with no structured interpretation. This script is designed to go one step further by turning that level into a mapped decision framework. The result is a chart that helps users read whether the market is holding one side of the daily open with acceptance, drifting into indecision, or failing to maintain directional control.
This tool is intentionally narrow in scope. It is not built as a full market structure engine, a session model, a prior high/low dashboard, a VWAP tool, or a moving average framework. Its role is much more specific: to organize the behavior of price around the daily open and to express that behavior through a compact state model, visual reference lines, and confirmed state transitions.
Because the daily open resets every trading day, the script also produces a recurring intraday reference that can be reused across many symbols and market conditions. This makes it useful for users who prefer repeatable visual anchors instead of highly discretionary chart interpretation.
WHAT IT DOES
This script identifies the current daily open and treats it as the primary intraday reference level. From there, it evaluates whether price is holding above the level, holding below the level, or still testing the area without confirmation. It also tracks the first reclaim event when enabled, allowing users to see whether the market has recovered one side of the level after losing it earlier in the day.
The overlay is structured so the current daily open remains the main visual anchor, while the previous daily open can be shown as a lighter secondary context level. Acceptance areas and state mapping are kept as supporting elements rather than replacing the open itself. This keeps the chart readable while still preserving a visual record of how the market behaved around the level throughout the session.
In practical terms, the script helps answer a simple but important question: is price truly holding one side of the daily open, or is it only rotating around it without meaningful acceptance?
HOW THIS DIFFERS FROM OTHER AG PRO TOOLS
This script is intentionally separated from the logic families used in other AG Pro tools.
It does not rely on VWAP behavior.
It does not build decisions from EMA or moving average relationships.
It does not classify price by prior day or prior week high/low structures.
It does not depend on sweep, stop hunt, liquidity trap, or session-kill-zone logic.
It does not function as a structure label, breakout, or order-flow style engine.
The purpose here is much more focused. AG Pro Daily Open Acceptance Map is a daily-open behavior tool. Its main question is not whether a breakout happened, whether liquidity was taken, or whether a trend indicator flipped. Its main question is whether the market is accepting or rejecting one side of the current daily open.
That narrow positioning is deliberate. It helps keep the chart logic cleaner, the visual language simpler, and the use case easier to understand.
UNIQUE EDGE
The unique edge of this script is not the presence of a daily open line by itself. Many tools can plot a daily open. The distinctive part of this indicator is the state framework built around that line.
Instead of only drawing the level, the script evaluates market behavior around it and converts that into a practical overlay language. The chart can therefore communicate whether the market is in bullish acceptance, bearish acceptance, or unresolved testing, rather than forcing the user to interpret every interaction manually.
The script also separates the current daily open from the previous daily open in a clear visual hierarchy. The current open is treated as the primary live anchor, while the previous open is optional secondary context. This helps users compare the active intraday reference against the prior session without turning the chart into a multi-level dashboard.
Another advantage is that the visual model remains compact. The script is designed to offer information density without becoming visually noisy, which is especially important on publish screenshots and on charts where traders prefer a clean price-first layout.
METHODOLOGY
The script starts by identifying the current daily open and, when enabled, the previous daily open. The current daily open becomes the main reference for all live state calculations.
From there, the script measures whether price is sustaining closes above the level, sustaining closes below the level, or remaining in a testing state around the level. The filter mode can be adjusted to make the interpretation more responsive or more selective. In more permissive settings, state shifts can appear earlier. In stricter settings, price generally needs cleaner confirmation before a state is recognized.
When reclaim logic is enabled, the script also monitors whether one side of the daily open is recovered after being lost earlier in the day. This is not treated as a separate prediction model. It is simply an additional contextual event that can help users understand whether the market is recovering control around the open after temporary failure.
The acceptance area, open zone, and state ribbon are visual support layers. They are not intended to replace price or overwhelm the chart. Their purpose is to make the interpretation easier to read while keeping the current daily open as the main anchor.
SIGNALS AND ALERTS
The script supports confirmed-bar style logic so that state changes can be tracked in a more stable way. Depending on the enabled settings, users can monitor:
Bullish acceptance conditions
Bearish acceptance conditions
Testing or unresolved behavior around the daily open
First reclaim context when enabled
General state transitions when the market changes side or loses control
These alerts and visual states are intended for chart organization and condition awareness. They should not be interpreted as guaranteed trade outcomes, guaranteed continuation signals, or automated execution instructions.
KEY INPUTS
FILTER MODE
Users can switch between stricter and more responsive behavior depending on how selective they want the state model to be.
HOLD / CONFIRMATION SETTINGS
These controls affect how much sustained price behavior is required before the script recognizes an accepted state.
TOLERANCE AND OPEN ZONE SETTINGS
These help define how tightly or loosely the script interprets price behavior around the daily open area.
FIRST RECLAIM SETTINGS
These controls determine whether reclaim events are tracked as part of the daily open behavior model.
DISPLAY SETTINGS
Users can control whether the current daily open, previous daily open, acceptance area, ribbon, labels, and panel elements are shown.
VISUAL SIZE SETTINGS
Panel and label sizing can be adjusted depending on symbol volatility, screen resolution, and chart density preferences.
LIMITATIONS AND TRANSPARENCY
This script is not a forecasting engine. It does not predict where price must go next. It evaluates how price is behaving relative to the current daily open and displays that information in a structured way.
It is also not a substitute for complete market analysis. It does not include broader trend context, liquidity analysis, volume profile logic, macro structure interpretation, news impact, or instrument-specific catalysts unless the user applies those separately.
Different symbols and timeframes can also produce different daily open behavior. In some instruments the daily open may act as a very strong intraday reference, while in others price may rotate around it more loosely. Because of that, the script should be interpreted as a contextual decision aid rather than a universal standalone solution.
The previous daily open is included only as optional secondary context. It does not drive the main state model. The main live logic is built around the current daily open.
RISK DISCLOSURE
This script is provided for market analysis, chart organization, and educational use. It does not provide financial advice, investment advice, or guaranteed trade signals. No indicator can remove market risk, and no visual state model can ensure a profitable result.
Traders should use their own judgment, position sizing rules, and risk management process before making any decision. This tool can help structure chart interpretation, but execution responsibility always remains with the user.
Indicator
AG Pro Anchored VWAP Event Map [AGPro Series]AG Pro Anchored VWAP Event Map
Overview / What it does
AG Pro Anchored VWAP Event Map is an overlay built to organize price action around Anchored VWAP after a meaningful starting point has been defined. Instead of treating VWAP as a single static reference, this script focuses on the relationship between price and a chosen anchor, then maps how the market behaves after that anchor is established. The goal is not to forecast price, but to make post-anchor structure easier to read in a consistent visual framework.
The script supports three anchor paths: Open, Swing, and Event. Open mode can reset the anchor from a daily, weekly, or monthly opening context. Swing mode rebuilds the anchor from a confirmed pivot high or pivot low. Event mode is designed for expansion-type situations and can anchor from a range expansion, a volume spike, or a breakout impulse. This creates a flexible workflow for traders who want to study how price responds to AVWAP under different structural conditions without switching tools.
Once the anchor is set, the script plots the Anchored VWAP, builds a distance band around it, tracks reclaim and reject behavior, and summarizes the current post-anchor bias in a compact panel. The result is a clean event map that can be used to study acceptance, rejection, recovery, or continuation around an anchored reference level. It is meant to simplify interpretation, not replace market context.
A key design goal of this script is clarity. The visual package is intentionally structured so the anchor, AVWAP path, distance zone, signal labels, and bias panel can be read together without turning the chart into a dense signal board. In practice, that means the indicator is most useful when it is treated as a contextual decision-support tool rather than a standalone trigger engine.
Unique Edge
The main distinction of this script is that it is not built as a generic VWAP overlay. Its emphasis is on post-anchor behavior. That means the visual logic starts from the selected anchor event and then evaluates how price interacts with the anchored VWAP afterward. In other words, the anchor is not only a starting point for the line itself; it is the center of the script's interpretation model.
Another differentiator is the combination of multiple anchor sources within one workflow. Traders can use opening-session logic, confirmed swing logic, or event-driven logic depending on the type of market behavior they are studying. This makes the indicator suitable for different styles of chart review while keeping the interface straightforward.
The distance band adds a second layer of structure. Rather than reading only the AVWAP line, users can also see whether price is operating close to the reference, stretched around it, or reacting from the upper or lower band zone. This helps frame whether a move appears to be re-accepting the anchored average, rejecting away from it, or trading in a more extended state.
The script also tries to keep the signal layer readable through selective label logic. Reclaim and reject markers are not intended to flood the chart. They are there to mark notable interactions with the anchored framework, while the panel provides a compact summary of the active anchor, current bias, distance, and latest signal state.
Methodology
The script begins by defining an anchor source. In Open mode, the anchor can be tied to a daily, weekly, or monthly opening transition. In Swing mode, the script waits for a confirmed pivot high or pivot low based on the selected swing length. In Event mode, the anchor is created only when a qualifying market event appears according to the selected event model.
For event-based anchoring, the script can use one of three internal conditions. Range Expansion looks for directional range behavior relative to ATR and recent structure. Volume Spike looks for directional participation with higher-than-average volume and a meaningful candle body fraction. Breakout Impulse looks for directional movement through recent extremes with supportive range and volume characteristics. These are practical anchor candidates for traders who want the AVWAP to begin from a meaningful change in behavior rather than from a calendar reset.
After the anchor is created, the script calculates Anchored VWAP using cumulative price-volume data relative to that anchor point. From there, it builds a distance band around the AVWAP. The band can be defined by ATR or percentage mode, depending on whether the user prefers a volatility-based or proportional framework.
Post-anchor bias is then derived from a simple internal score. The script evaluates whether price is above or below AVWAP, whether the AVWAP slope is improving or weakening, and whether price is trading beyond the distance band. This produces a practical Bullish, Bearish, or Neutral state. The intention is not to compress market structure into a perfect score, but to provide a compact directional read that can be used alongside the chart.
Reclaim and reject logic is based on how price interacts with the AVWAP and the surrounding band after the anchor is active. A reclaim highlights price moving back through the anchored reference with confirmation, while a reject highlights failure or pushback behavior around the band area. These events are intended as structural observations rather than guaranteed trade setups.
Signals & Alerts
The script includes reclaim and reject signal logic for both directions. These labels are designed to call attention to notable interactions with the anchored framework after the selected anchor becomes active. In practical use, reclaim behavior can be interpreted as a sign that price is attempting to re-establish acceptance relative to AVWAP, while reject behavior can suggest rejection away from the mapped zone.
Because market structure can become noisy, the script also includes signal spacing and density controls to reduce repetitive label clutter. This is especially relevant when anchored conditions remain active for long periods and price repeatedly tests the same area. The goal is to preserve readability while still marking relevant interactions.
Alert conditions are included for bullish reclaim, bearish reclaim, bullish reject, bearish reject, and a broader any-signal state. These alerts are deterministic within the script's ruleset, but they should still be used as workflow tools rather than interpreted as self-sufficient trading instructions.
Key Inputs
Anchor Source:
Choose whether the indicator should anchor from Open, Swing, or Event logic.
Open Anchor Type:
In Open mode, select daily, weekly, or monthly opening context.
Swing Length:
Controls how confirmed pivot highs and lows are detected in Swing mode.
Event Type:
In Event mode, choose between Range Expansion, Volume Spike, or Breakout Impulse as the anchor trigger model.
Event Lookback / Multipliers / Cooldown:
These inputs control how strict the event selection becomes and how frequently new event anchors can appear.
Band Mode:
Switch between ATR-based and percentage-based distance bands.
ATR Band Multiplier / Percent Band:
Define the width of the distance zone around Anchored VWAP.
Signal Density:
Helps regulate how aggressively reclaim and reject labels are displayed.
Panel and Label Size:
Allows the visual layout to remain readable across different chart styles and screen sizes.
Show Anchor Label / Show Anchor Level / Show Bias Ribbon:
These toggles control the visibility of anchor-focused visual elements and optional bias coloring.
Limitations & Transparency
This script is an interpretation aid. It does not identify the single correct anchor for all market environments. Different anchor choices can lead to different AVWAP paths, different reclaim or reject readings, and different conclusions. That is normal, and it is one of the reasons the script provides multiple anchor modes.
Event-based anchors depend on internal threshold logic such as ATR expansion, volume conditions, and breakout behavior. On some symbols or timeframes, those filters may trigger more frequently or less frequently than expected. Users may need to adjust event sensitivity and band settings to fit the market they are analyzing.
Reclaim and reject states are rule-based. They are not a guarantee of continuation, reversal, or follow-through. In sideways conditions, repeated AVWAP interactions can occur without producing a sustained directional move. The script can help organize those interactions visually, but it cannot remove market uncertainty.
The post-anchor bias is intentionally simplified. It is designed for readability, not for complete market classification. It should be read together with broader price structure, higher-timeframe context, liquidity conditions, and user-defined execution rules.
Risk Disclosure
This indicator is for chart analysis and workflow support. It does not provide financial advice, investment advice, or guaranteed outcomes. Markets involve risk, and any trading or investing decision remains the sole responsibility of the user.
No indicator can remove uncertainty from live markets. Anchored VWAP, reclaim behavior, reject behavior, and bias states are analytical references only. They should be validated with independent judgment, risk management, and broader market context before being used in any decision-making process.
Use this script as a structured visualization tool, not as a promise of performance or a substitute for disciplined trade planning.
Indicator
Custom Open LineDaily Open Line (Custom Timezone)
Plots a horizontal line at a user-defined daily open time with full timezone control. Designed to work across equities, futures, forex, and crypto without being locked to a specific exchange session.
Most “daily open” indicators are hardcoded to New York time. This script removes that limitation and lets you define exactly what “open” means for your market.
The script includes customizable timezone selection such as Chicago, New York, London, and UTC, along with adjustable open hour and minute inputs. The default is set to 08:30 Central Time, which aligns with the 09:30 Eastern equity market open. Users can modify this to match any session including London open, Asia open, or forex rollover.
Each day, the script detects the bar matching the selected time and plots a horizontal line at that bar’s open price. The line extends forward and remains on the chart based on the selected lookback period. Visual settings such as line color, width, and style are fully customizable, and an optional label can display the exact open price.
This tool is useful for tracking key intraday levels, identifying directional bias relative to the open, and supporting price action strategies such as mean reversion or breakout trading. It also allows traders to align different markets using a consistent time reference.
This script works best on intraday timeframes such as 1-minute to 15-minute charts. On higher timeframes, the exact open bar may not exist depending on the data feed. For forex and crypto markets, users should select a timezone and time that matches their specific trading model. Indicator
Indicator
AG Pro ORB Quality [AGPro Series]AG Pro Opening Range Breakout Quality
OVERVIEW / WHAT IT DOES
AG Pro Opening Range Breakout Quality is a session-structure indicator built to evaluate how price behaves around the Opening Range rather than treating every early breakout as equally meaningful.
The script defines an Opening Range from a user-selected session window, locks that range when the session window ends, and then tracks whether price breaks above or below that range with constructive follow-through, delayed expansion, weak continuation, retest acceptance, or failure back into the range.
Instead of acting like a simple breakout marker, this tool is designed to help organize the sequence that often matters most after the range is formed:
range construction, first directional break, follow-through quality, retest behavior, acceptance, and failed continuation.
This makes it more useful for traders who want a structured way to study whether the market is truly accepting price outside the Opening Range, or only probing beyond it temporarily.
UNIQUE EDGE
Most Opening Range tools focus mainly on drawing the range and marking the first break.
This script is designed to go one step further by grading the quality of that break and the quality of post-break behavior.
Its main edge is not the box itself. Its edge is the attempt to classify whether the move is:
clean,
good but delayed,
weak,
accepted after retest,
or rejected back into the range.
That makes the script conceptually different from a generic breakout overlay and also different from a broad market-structure or break-retest map. This indicator is specifically anchored to the Opening Range and to the behavior that follows that range.
METHODOLOGY
1) Opening Range Construction
The script builds an Opening Range from the chosen session window and stores:
- range high
- range low
- optional midpoint
2) Break Detection
After the range is locked, the script scans for the first qualified directional break within a defined search window.
3) Quality Engine
Once a break appears, the script evaluates it using a rules-based scoring framework. The score can incorporate factors such as:
- displacement beyond the range
- body efficiency versus wick behavior
- timing of the break relative to the range lock
- optional relative volume context
- directional alignment versus a moving average reference
- post-break extension quality
- retest depth and retest acceptance
4) State Transition Logic
The script then maps price behavior into structured states such as:
- Building Range
- Watching Break
- Bull Break Detected
- Bear Break Detected
- Bull Acceptance
- Bear Acceptance
- Failed Back In
- Range Expired
5) Visual Organization
The chart can display the Opening Range, the active acceptance zone, and projected target levels so that the user can visually compare the range location, the active accepted area, and nearby expansion references.
SIGNALS & ALERTS
The script can generate alerts for:
- break events
- acceptance events
- failure events
These alerts are intended to notify the user when a defined state transition occurs under the script's internal rules.
They should be treated as workflow events, not as standalone trading instructions.
KEY INPUTS
Opening Range
- Session Label
- Opening Range Session
- Timezone
- Engine Timeframe
- Range Extension Bars
- Show Midline
Quality Engine
- Late Break Threshold
- Acceptance Confirmation Bars
- Break Search Window
- Failure Tolerance
- Relative Volume Length
- Use Volume in Score
Projected Targets
- Show Targets
- T1 / T2 / T3
- Target Multipliers
- Target Ray Width
- Target Label Style
Style
- Theme
- State Labels
- Background Tint
- Label Size
- Label Mode
- Hero OR display
- Acceptance Ribbon
- Minimal OR Tag
- Right-side layout controls
Panel
- Panel Position
- Panel Font Size
- Score Meter
HOW THIS SCRIPT IS DIFFERENT
This script is not meant to be a general-purpose support/resistance map, and it is not meant to be a broad break-retest engine applied to every chart structure.
Its scope is narrower by design.
The entire logic is centered on the Opening Range and what happens immediately after that range is established. Because of that, the script is more session-specific and more sequence-specific than many broader structure tools.
It is also not a plain "Opening Range breakout = signal" overlay. A break can still be weak, late, accepted after retest, or rejected back into the range. That distinction is the core of the script.
LIMITATIONS & TRANSPARENCY
This is a rules-based interpretation tool, not a predictive model.
The score is an internal quality estimate derived from the script's selected factors and thresholds. It should not be treated as an objective market truth.
Opening Range behavior can vary significantly by instrument, volatility regime, session participation, and timeframe. A configuration that is useful on one symbol may not behave the same way on another.
Projected targets are reference expansions based on the script's range logic. They are not guarantees, forecasts, or required destinations.
Retest and acceptance behavior are also dependent on the selected engine timeframe. Lower engine timeframes may capture more detail, while higher ones may smooth some intrabar behavior.
Users should review settings carefully and test the script on the instruments and sessions they actually follow.
WHAT IT IS NOT
This script is not:
- a guarantee of breakout continuation
- a promise that every accepted break will trend
- a substitute for independent risk management
- a standalone reason to enter or exit a trade
- financial advice
RISK DISCLOSURE
This indicator is provided for educational and analytical use.
All trading involves risk. Markets can reverse quickly, fail to follow through, or invalidate a setup even when a breakout initially looks constructive.
Use the script as a structured chart-reading aid, not as a certainty engine. Position sizing, stop placement, execution quality, liquidity conditions, and broader market context remain the user's responsibility.
If you use alerts, projected targets, or the quality score in a workflow, they should be interpreted within a broader decision process rather than in isolation.
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Open Interest Flow & Context Overlay [HYPR-run]DESCRIPTION:
Reads Binance perpetual open interest and classifies each bar into one of eight context states based on OI direction, price direction, and volume direction. Flow arrows show how open interest is developing bar by bar; the context matrix tells you what it means. OI rising + price rising + volume rising = new longs with conviction. OI rising + price falling + volume rising = new shorts with conviction. OI falling + price falling = long squeeze (liquidation, trend acceleration). OI falling + price rising + volume = short squeeze (covering, trend acceleration). The matrix answers: who is entering, who is exiting, and is volume confirming?
DISCOVERING EDGE
This indicator classifies every bar into eight context states by combining OI direction, price direction, and volume direction into a single read. In order to gain a persistent, mechanical edge in distinguishing real demand from forced covering and genuine selling from liquidation, we explored a more meaningful expression of open interest flow that resulted in strong confirmation signals that became actual entry/exit signals (Large Outline Triangles on chart) in our latest automated strategies.
8 OI CONTEXT STATES vs RAW OI CANDLES
Raw OI rising tells you positions are opening but not who or why. Eight context states (new longs with volume, short squeeze, long liquidation, etc.) answer who is entering, who is exiting, and whether volume confirms, turning a single data stream into actionable positioning context. Arrow color hierarchy gives the instant read: green/bright red = fresh direction flip (highest conviction); cyan/orange = continuation; purple = no volume confirmation (lower conviction but a staple of grinding price action in intermediate trend. Dashboard distinguishes "LONG, New Longs + Volume" from "Short Squeeze, Accumulation"; both show price rising, but one is real demand and the other is forced covering that ends when covering is done. Alerts fire only on strong OI signals (OI + price + volume all aligned) with full bar filter and directional candle confirmation; three layers of filtering before the signal fires.
FEATURES
- Eight OI context states with color-coded overlay arrows
- Two-row dashboard: OI context state + OI flow arrows with color badges
- Strong/weak filter: price + volume + OI alignment required for full signals
- Direction flip tracking: fresh signals vs continuation (brighter vs dimmer)
- ZLEMA-based trend detection (smoother than raw crossovers)
- Webhook-ready alerts on strong OI signals with full bar filter
- Full bar filter: body >= 66.6% of range (no doji fakeouts)
DASHBOARD
Two-row display: OI context state and OI flow. Row 1 classifies the current bar from the eight-state matrix. Row 2 shows the active flow arrow state matching the arrows on chart.
OI CONTEXT TABLE (Dashboard row 1)
OI FLOW TABLE (Dashboard row 2)
HOW IT WORKS
ZLEMA (zero-lag EMA) detects rising/falling direction on three inputs: open interest, price, and volume. The combination determines the context state. Strong signals require all three aligned. A fixnan state variable tracks direction flips to distinguish fresh entries from continuation. OI data is pulled from Binance perpetual contracts (USDT or coin-margined). Auto-detects the coin from the chart symbol, or enter manually for non-Binance tickers.
ALERTS
Fires on strong OI long/short signals (all three aligned) with a full directional bar. Fresh direction flips are distinguished from continuation. Alert payload is built into the script; works with any webhook receiver.
CREDITS
OI data approach: ByzantiumScripts, spacemanbtc
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Levels [BeNice]
Levels is a precision mapping tool for traders who rely on High Timeframe (HTF) levels to define their daily bias. It automates the process of marking Open, High, Low, and Equilibrium (EQ) levels across all major lookback periods.
💎 Key Functionalities
Dynamic HTF Mapping: Supports Yearly, Quarterly, Monthly, Weekly, Daily, and H4 timeframes.
Monday Range Specialist: Specifically tracks Monday's price action, a vital zone for setting the weekly narrative.
EQ (Equilibrium) Tracking: Automatically plots the mid-point of any given period, helping you identify Discount and Premium zones instantly.
Clean UI Logic: Features a built-in "anti-overlap" array system. If multiple levels occupy the same price point, the script optimizes the visuals to keep your chart professional and readable.
Full Customization: Control line styles (Solid, Dotted, Dashed), colors, text sizes, and line extensions to fit your personal chart aesthetic.
💡 Pro Trading Tip
Use these levels as Liquidity Targets or Points of Interest (POI). When price interacts with a Prev. Weekly High or a Monthly Open, look for the Reversal Pro+ SFP signals to confirm high-probability trade entries. Indicator
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ORB | Feng FuturesThe ORB | Feng Futures indicator automatically detects the Opening Range Breakout (ORB) for each trading session, plotting the High, Low, and Midline in real time. This tool is built for futures traders who rely on ORB structure to confirm trends, identify breakout zones, and recognize reversal areas early in the session.
Features:
• Auto-calculated ORB High, Low, and Midline
• Multi-timezone session support (NY, Chicago, London, Tokyo, etc.)
• Customize ORB time range and time window for display
• Real-time updating lines that freeze at session close
• Optional labels with customizable size, color, and offset
• Save and view multiple previous ORB sessions
• Full color customization for all levels
• Automatically hides on higher timeframes (Daily+) to reduce clutter
• Works on ES, NQ, and all intraday futures charts
• Works on stocks, crypto, forex, and other tradeable assets where ORB is applicable
Disclaimer: This indicator is for educational purposes only and does not constitute financial advice. Trading futures involves significant risk and may not be suitable for all investors. Always do your own research and use proper risk management. Indicator
Triple KDJ - CKThe Triple KDJ is a market-reading architecture based on multiscale confirmation, not a new indicator. It consists of the simultaneous use of three KDJ settings with different parameters to represent three levels of price behavior: short-, medium-, and long-term. The systemic logic is simple and robust: a move is considered tradable only when there is directional coherence across all three layers, which reduces noise, prevents entries against the dominant regime, and stabilizes decision-making.
At the slowest level, the KDJ acts as a structural regime filter. It defines whether the market is, at that moment, permissive for buying, selling, or remaining neutral. When the slow KDJ shows the hierarchy J > K > D, the environment is bullish; when J < K < D occurs, the environment is bearish. If this condition is not clear, any signal on the faster levels should be ignored, as it represents only local fluctuation without directional support.
The intermediate KDJ fulfills the role of continuity confirmation. It checks whether the impulse observed on the short-term level is supported by the developing move. In practical terms, it prevents entries based solely on micro-impulses that fail to evolve into real price displacement. When the intermediate KDJ replicates the same directional hierarchy as the slow KDJ, structure and movement are aligned.
The fast KDJ is used exclusively as a timing tool, never as a standalone signal generator. This is where the J line reacts first, often emerging from extreme zones and offering the lowest-risk entry point. In the Triple KDJ, the fast layer does not “command” the trade; it simply executes what has already been authorized by the higher levels.
The J line plays a central role in this architecture. In the fast KDJ, it anticipates the change in impulse; in the intermediate KDJ, it confirms the transformation of that impulse into movement; and in the slow KDJ, it determines whether the market accepts or rejects that direction. For this reason, in the Triple KDJ the correct reading is not about line crossovers, but about a consistent hierarchy among J, K, and D across multiple scales. Indicator
Triple KDJ - CKThe Triple KDJ is a market-reading architecture based on multiscale confirmation, not a new indicator. It consists of the simultaneous use of three KDJ settings with different parameters to represent three levels of price behavior: short-, medium-, and long-term. The systemic logic is simple and robust: a move is considered tradable only when there is directional coherence across all three layers, which reduces noise, prevents entries against the dominant regime, and stabilizes decision-making.
At the slowest level, the KDJ acts as a structural regime filter. It defines whether the market is, at that moment, permissive for buying, selling, or remaining neutral. When the slow KDJ shows the hierarchy J > K > D, the environment is bullish; when J < K < D occurs, the environment is bearish. If this condition is not clear, any signal on the faster levels should be ignored, as it represents only local fluctuation without directional support.
The intermediate KDJ fulfills the role of continuity confirmation. It checks whether the impulse observed on the short-term level is supported by the developing move. In practical terms, it prevents entries based solely on micro-impulses that fail to evolve into real price displacement. When the intermediate KDJ replicates the same directional hierarchy as the slow KDJ, structure and movement are aligned.
The fast KDJ is used exclusively as a timing tool, never as a standalone signal generator. This is where the J line reacts first, often emerging from extreme zones and offering the lowest-risk entry point. In the Triple KDJ, the fast layer does not “command” the trade; it simply executes what has already been authorized by the higher levels.
The J line plays a central role in this architecture. In the fast KDJ, it anticipates the change in impulse; in the intermediate KDJ, it confirms the transformation of that impulse into movement; and in the slow KDJ, it determines whether the market accepts or rejects that direction. For this reason, in the Triple KDJ the correct reading is not about line crossovers, but about a consistent hierarchy among J, K, and D across multiple scales.
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CK INDEX Strategy Open-source code, Free, No Cost.Aqui está a tradução fiel e técnica para o inglês, ideal para a descrição do seu script no PulseWire:
### 1. Requirements (The 3 Principles)
1. **Study** the code.
2. **Modify** the code.
3. **Distribute** copies or derivative versions (respecting the original credits).
Description: Direction and Strength — CK Index
The **CK Index** is a composite indicator formed by the conceptual sum of two CCIs and the PVT (Price Volume Trend) with an arithmetic mean. Its function is to simultaneously validate direction and accumulated flow.
For a **buy operation**, both CCIs must be above zero, indicating bullish dominance across different time horizons, and the PVT must be above its average. For a **sell operation**, the CCIs must be below zero and the PVT below its average.
It is important to emphasize that it acts as an **entry trigger**: the candle will turn **blue** to indicate a buy, **yellow** for a sell, and **white** when there is neutrality (meaning the color will be white when there is no clear definition—these are my personal settings). In its default form, it uses **green, red, and gray**, respectively.
Good trades, and make the world a better and freer place! Strategy
Volatility Squeeze Pro [JOAT]
Volatility Squeeze Pro — Advanced Volatility Compression Analysis System
This indicator addresses a specific analytical challenge in volatility analysis: how to identify periods when different volatility measurements show compression relationships that may indicate potential energy buildup in the market. It combines two distinct volatility calculation methods—standard deviation-based bands and ATR-based channels—with a momentum oscillator to provide comprehensive volatility state analysis.
Why This Combination Provides Unique Analytical Value
Traditional volatility indicators typically focus on single measurements, but markets exhibit different types of volatility that require different analytical approaches:
1. **Closing Price Volatility** (Standard Deviation): Measures how much closing prices deviate from their average
2. **Trading Range Volatility** (ATR): Measures the actual high-to-low trading ranges
3. **Directional Momentum**: Measures where price sits within its recent range
The problem with using these individually:
- Standard deviation alone doesn't account for intraday volatility
- ATR alone doesn't consider closing price clustering
- Momentum alone doesn't provide volatility context
- No single measurement captures the complete volatility picture
This indicator's originality lies in creating a comprehensive volatility analysis system that:
**Identifies Volatility Compression**: When closing price volatility contracts inside trading range volatility, it suggests potential energy buildup
**Provides Momentum Context**: Shows directional bias during compression periods
**Offers Multi-Dimensional Analysis**: Combines three different analytical approaches into one coherent system
**Delivers Real-Time Assessment**: Continuously monitors the relationship between different volatility types
Technical Innovation and Originality
While individual components (Bollinger Bands, Keltner Channels, Linear Regression) are standard, the innovation lies in:
1. **Volatility Relationship Detection**: The mathematical comparison between standard deviation bands and ATR channels creates a unique compression identification system
2. **Integrated Momentum Analysis**: Linear regression-based momentum calculation provides directional context specifically during volatility compression periods
3. **Multi-State Visualization**: The indicator provides clear visual encoding of different volatility states (compressed vs. normal) with momentum direction
4. **Adaptive Threshold System**: The squeeze detection automatically adapts to different instruments and timeframes without manual calibration
How the Components Work Together Analytically
The three components create a comprehensive volatility analysis framework:
**Standard Deviation Component**: Measures closing price dispersion around the mean
float bbBasis = ta.sma(close, bbLength)
float bbDev = bbMult * ta.stdev(close, bbLength)
float bbUpper = bbBasis + bbDev
float bbLower = bbBasis - bbDev
**ATR Channel Component**: Measures actual trading range volatility
float kcBasis = ta.ema(close, kcLength)
float kcRange = ta.atr(atrLength)
float kcUpper = kcBasis + kcRange * kcMult
float kcLower = kcBasis - kcRange * kcMult
**Squeeze Detection Logic**: Identifies when closing price volatility compresses within trading range volatility
bool squeezeOn = bbLower > kcLower and bbUpper < kcUpper
// This condition indicates closing prices are clustering more tightly
// than the typical trading range would suggest
**Momentum Context Component**: Provides directional bias during compression
float highestHigh = ta.highest(high, momLength)
float lowestLow = ta.lowest(low, momLength)
float momentum = ta.linreg(close - math.avg(highestHigh, lowestLow), momLength, 0)
float momSmooth = ta.sma(momentum, smoothLength)
The analytical relationship creates a system where:
- Squeeze detection identifies WHEN volatility compression occurs
- Momentum analysis shows WHERE price is positioned during compression
- Combined analysis provides both timing and directional context
How the Volatility Comparison Works
The indicator compares two volatility measurements:
Standard Deviation Bands
These measure how much closing prices deviate from their average. When prices cluster tightly around the average, the bands contract.
// Standard deviation bands calculation
float bbBasis = ta.sma(close, bbLength)
float bbDev = bbMult * ta.stdev(close, bbLength)
float bbUpper = bbBasis + bbDev
float bbLower = bbBasis - bbDev
ATR-Based Channels
These measure volatility using Average True Range—the typical distance between high and low prices. They respond to the actual trading range rather than closing price dispersion.
// ATR-based channels calculation
float kcBasis = ta.ema(close, kcLength)
float kcRange = ta.atr(atrLength)
float kcUpper = kcBasis + kcRange * kcMult
float kcLower = kcBasis - kcRange * kcMult
The Squeeze Condition
A "squeeze" is detected when the standard deviation bands are completely contained within the ATR channels:
// Squeeze detection
bool squeezeOn = bbLower > kcLower and bbUpper < kcUpper
This condition indicates that closing price volatility has compressed relative to the overall trading range.
The Momentum Component
The momentum oscillator measures where price sits relative to its recent high-low range, using linear regression for smoothing:
// Momentum calculation
float highestHigh = ta.highest(high, momLength)
float lowestLow = ta.lowest(low, momLength)
float momentum = ta.linreg(close - math.avg(highestHigh, lowestLow), momLength, 0)
float momSmooth = ta.sma(momentum, smoothLength)
Positive values indicate price is above the midpoint of its recent range; negative values indicate below.
Why Display Both Together
The squeeze detection shows WHEN volatility is compressed. The momentum reading shows the current directional bias of price within that compression. Together, they provide two pieces of information:
1. Is volatility currently compressed? (squeeze status)
2. Where is price leaning within the current range? (momentum)
These are observations about current conditions, not predictions about future movement.
Visual Elements
Momentum Histogram — Bars showing momentum value
- Green shades: Positive momentum (price above range midpoint)
- Red shades: Negative momentum (price below range midpoint)
- Brighter colors: Momentum increasing
- Faded colors: Momentum decreasing
Squeeze Dots — Circles on the zero line
- Red: Squeeze condition active
- Green: No squeeze condition
Release Markers — Triangle markers when squeeze condition ends
Dashboard — Current readings and status
Color Scheme
Squeeze Active — #FF5252 (red)
No Squeeze — #4CAF50 (green)
Momentum Positive — #00E676 / #81C784 (green shades)
Momentum Negative — #FF5252 / #E57373 (red shades)
Inputs
Standard Deviation Bands:
Length (default: 20)
Multiplier (default: 2.0)
ATR Channels:
Length (default: 20)
Multiplier (default: 1.5)
ATR Period (default: 10)
Momentum:
Length (default: 12)
Smoothing (default: 3)
How to Read the Display
Red dots indicate the squeeze condition is present
Green dots indicate normal volatility relationship
Histogram direction shows current momentum bias
Histogram color brightness shows whether momentum is increasing or decreasing
Alerts
Squeeze condition started
Squeeze condition ended
Squeeze ended with positive momentum
Squeeze ended with negative momentum
Extended squeeze (8+ bars)
Important Limitations and Realistic Expectations
Volatility compression detection is a mathematical relationship between calculations—it does not predict future price movements
Many compression periods do not result in significant price expansion or directional moves
Momentum direction during compression does not reliably indicate future breakout direction
This indicator analyzes current and historical volatility conditions only—it cannot predict future volatility
False signals are common—not every squeeze leads to tradeable price movement
Different parameter settings will produce different compression detection sensitivity
Market conditions, news events, and fundamental factors often override technical volatility patterns
No volatility indicator can predict the timing, direction, or magnitude of future price movements
This tool should be used as one component of comprehensive market analysis
Appropriate Use Cases
This indicator is designed for:
- Volatility state analysis and monitoring
- Educational study of volatility relationships
- Multi-dimensional volatility assessment
- Supplementary analysis alongside other technical tools
- Understanding market compression/expansion cycles
This indicator is NOT designed for:
- Standalone trading signal generation
- Guaranteed breakout prediction
- Automated trading system triggers
- Market timing precision
- Replacement of fundamental analysis
Understanding Volatility Analysis Limitations
Volatility analysis, while useful for understanding market conditions, has inherent limitations:
- Past volatility patterns do not guarantee future patterns
- Compression periods can extend much longer than expected
- Expansion periods may be brief and insufficient for trading
- External factors (news, fundamentals) often override technical patterns
- Different markets and timeframes exhibit different volatility characteristics
— Made with passion by officialjackofalltrades
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