Liquidity Sweep Confirmation Zones [Pineify]Liquidity Sweep Confirmation Zones
Overview
This overlay separates a wick beyond known swing liquidity from a response that earns a zone. It shows rails, a candidate bridge, confirmed boxes, retest wear, and a dashboard.
Problem Definition
A basic sweep rule labels every wick beyond a prior high or low. It cannot separate rejection from a breakout near the level, and it ignores later response. Permanent lines remain prominent after failure. Back-plotting a pivot also hides that right-side bars were required to confirm it. The task is to find a closed-bar pierce and reclaim at a level already known, then require timely departure before creating support or resistance.
Design Rationale
Confirmed pivots provide structure that existed before the sweep. Each rail is armed once to stop repeated events. ATR scaling replaces raw ticks across price levels, while the sweep freezes its rail, extreme, close, and ATR so later bars cannot rewrite the test. A limited window rejects delayed movement. Net displacement alone was rejected because a choppy path can eventually travel as far; efficiency also measures progress versus total close travel. This can omit real reversals, but accepted events are easier to audit. Dual-rail sweeps are ignored as directionally ambiguous.
Key Features
One-shot confirmed swing rails.
ATR-scaled pierce and reclaim gates.
Frozen response, path efficiency, and age.
Zones beginning at confirmation, with retest wear and bounded life.
Closed-bar candidate, confirmation, and invalidation alerts.
How It Works
ATR is calculated while a pivot waits for its right-side bars; its rail appears only when confirmed. A later closed bar becomes a candidate when its wick pierces one armed rail by the required ATR fraction and its close reclaims it by the chosen distance. That rail is consumed, while a dual-rail reclaim is ignored.
The candidate freezes direction, rail, extreme, reclaim close, and ATR. Later bars accumulate close travel. Response is directional progress divided by frozen ATR, and efficiency divides positive response by total travel. Both thresholds must pass on the reclaimed side before timeout. Closing through the extreme also fails the candidate.
Confirmation creates a green support or red resistance box on that bar. Each new entry counts as a retest and increases transparency. Bullish zones invalidate below their extreme; bearish zones invalidate above it. Age stops extension, storage removes the oldest excess box, and warm-up shows no rail until ATR and a pivot exist.
How Multiple Indicators Work Together
The stages form one causal chain. Pivots supply pre-existing levels; ATR supplies scale; reclaim establishes rejection; displacement tests follow-through; efficiency rejects wandering paths; the time window links response to sweep. The box preserves that frozen evidence for retest and invalidation. Removing a stage changes the question, so the components are not an arbitrary mashup.
Trading Ideas and Insights
A circle records rejection, not completed follow-through. The amber bridge shows the pending interval while response develops. Green means a downside sweep received efficient upward confirmation; red means the inverse. Fading records more separate retests and can suggest wear for review. These states organize rejection, confirmation, retest, and failure, but do not define entries, targets, returns, or size.
Unique Aspects
The contribution separates event knowledge from outcome. A rail begins only when confirmed, a sweep consumes it once, and its facts are frozen. Promotion needs ATR-scaled progress plus path efficiency within a fixed window. The box starts at promotion, so history does not imply earlier confirmation. Retests count only new entries, not every bar inside. This is an auditable state sequence rather than a renamed pivot marker.
How to Use
Choose pivots for the intended structure horizon.
Watch armed rails; a circle marks a closed-bar pierce and reclaim.
Read bridge, response ATR, efficiency, and age while pending.
Treat a diamond and new box as confirmation on that bar; then monitor retests and failure.
Use Once Per Bar Close alerts with separate execution and risk rules.
Customization
Larger pivots select broader but later structure. Higher pierce or reclaim values filter shallow probes. Raising displacement or efficiency requires cleaner response but reduces events; longer windows weaken temporal linkage. Zone life sets the horizon, maximum zones bounds objects, and maximum retests changes wear shading only. Visual layers hide independently. Defaults are not universal optima.
Assumptions and Limitations
Confirmed pivots are assumed useful liquidity references and ATR an adequate scale. Pivot delay leaves recent structure unavailable. Only one candidate is tracked, and dual-rail sweeps are rejected. Bar-based efficiency cannot reveal intrabar order, actual liquidity, stops, or intent. Gaps, fast trends, thin markets, and poor settings can break interpretation. Closed bars drive state, but setting or data revisions can recalculate history. The script does not detect actual stop hunts, predict reversals, measure profitability, or decide whether to trade a zone.
Conclusion
The overlay turns a known swing, closed-bar reclaim, and bounded efficient response into a staged record. No zone exists before follow-through qualifies it; delay, wear, expiry, and failure stay visible.
インジケーター
AMD Structure Map [AxeAlgo]AMD Structure Map
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WHAT THIS SCRIPT DOES
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AMD Structure Map automatically detects the Accumulation → Manipulation →
Distribution cycle on any chart, in real time, and draws each phase as its
own labeled zone directly on the candles — so the market's own three-act
structure is visible as it forms, instead of something you have to
eyeball yourself after the fact.
This is a pattern-recognition and structure-labeling tool. It identifies
and visualizes market structure per the AMD model. It does not predict
future price direction, it does not generate buy or sell signals, and
nothing it draws should be treated as a trading recommendation.
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BACKGROUND — WHAT "AMD" MEANS
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AMD is a way of reading price action as three sequential acts:
Accumulation is a period where price contracts into a range while orders
build on both sides of the market. Manipulation is a deliberate-looking
move beyond that range — far enough, and on enough volume, to run the
stop-losses and breakout orders sitting just outside it — that then fails
and closes back inside. Distribution is the real, sustained move that
follows, expanding in the opposite direction of that failed move.
The core idea is that the Manipulation phase exists to create liquidity:
a move beyond an obvious range draws in breakout traders and triggers
stops on the other side, providing the volume needed for the real
directional move that follows. Whether or not you subscribe to that
interpretation, the three-part sequence — range, false break, real break
— is a recurring, observable structure across most liquid markets and
timeframes, and this script exists to detect it mechanically and
consistently rather than by eye.
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HOW EACH PHASE IS DETECTED
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ACCUMULATION is flagged by genuine volatility contraction: a fast-length
ATR reading meaningfully below its own slow-length ATR baseline, averaged
over a short recent window rather than judged off a single bar, combined
with a minimum range width relative to current volatility. This rules out
both a lone quiet tick being mistaken for real compression and micro-noise
ranges being mistaken for a real base. Once contraction is confirmed, the
zone locks to the highest high and lowest low of the seed window and does
not move afterward.
MANIPULATION is a liquidity sweep: a wick that pierces beyond the
Accumulation range by a minimum distance, on volume above this specific
cycle's own frozen baseline (measured from its own seed window, not a
constantly-rolling average that would otherwise get distorted by the
sweep's own volume spike), that closes back inside the range within a
short window of bars. It does not have to reverse on the exact same bar
it pierced — it is given a handful of bars to do so, since real liquidity
sweeps do not always resolve instantly. The moment a sweep confirms, the
script labels the zone with an Expected Direction: opposite the side that
was swept, since that is what the AMD model itself defines Distribution to
be. If price later sweeps the OPPOSITE side too, before the range
resolves, that second sweep supersedes the first and the call flips —
capped at one such re-arm, since a range swept a third time no longer
looks like a clean setup.
DISTRIBUTION is a confirmed break — by distance and by volume, both judged
against that same frozen baseline — in the direction the Manipulation
phase called. Only at that point is the cycle logged as complete. A break
in the SAME direction as the earlier sweep is logged separately and
honestly as "Manipulation Failed," since the expected reversal did not
occur — the script does not force an incomplete or contradictory sequence
into the AMD narrative just because a Manipulation event happened
somewhere in the range's history.
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ON THE EXPECTED DIRECTION LABEL
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The "Expected Direction" shown on the Manipulation zone is a direct
restatement of the AMD model's own definition, not an independent
forecast: Distribution is, by definition, the move opposite the side that
got swept. It carries no probability estimate, is not back-tested, and is
not a trade instruction. It is confirmed or denied by the same real
price-and-volume break logic used everywhere else in the script — nothing
is assumed true until price actually does it.
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WHAT YOU SEE ON THE CHART
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Each phase is drawn as its own colored zone box with a label. The
Accumulation zone appears the moment contraction confirms. The
Manipulation zone appears the moment a sweep confirms, labeled with the
Expected Direction. The Distribution zone appears ONLY once the break
genuinely confirms in that expected direction — it is sized to the
Accumulation range's own width rather than to whatever the breakout bar's
own volatility happened to produce, then grows to track the real move for
a limited window before freezing in place, so it always reads as a
proportionate rectangle rather than an arbitrary spike or a box that
keeps expanding indefinitely.
A cycle that does not complete — a Manipulation that failed to lead to a
real Distribution break, or a breakout with no Manipulation ever detected
beforehand — is marked with a single small flag rather than a full zone
box, since nothing pattern-like actually happened there. A small signal
also marks the exact first candle a genuine Distribution phase begins on.
An optional session-window highlight is available for traders who want to
see which cycles are forming inside a specific trading session.
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DASHBOARD
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A compact corner table shows the current phase and its status, the
current Expected Direction, an optional higher-timeframe bias reading
(a simple moving-average slope check on a timeframe you choose, shown
purely as background context and never used to filter or alter
detection), and a running Follow-Through Rate.
The Follow-Through Rate is a historical tally, going back to when the
chart loaded, of how often this chart's own past Manipulation calls
actually went on to confirm into a real Distribution break versus failing
or the range simply expiring. It is not a win rate, not the result of a
back-tested strategy, and not a claim about the cycle currently forming.
The percentage is intentionally hidden until a minimum number of cycles
have been observed, so a small handful of outcomes is never presented as
a statistically meaningful rate.
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INPUTS
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A single Detection Sensitivity dial (Loose / Normal / Strict) governs
every underlying threshold at once — the seed window length, the required
depth of volatility contraction, the sweep depth and volume requirements,
and the breakout distance and volume requirements. Loose finds more
cycles at looser quality; Strict finds fewer, higher-conviction cycles
only.
Beyond that, every visual element can be toggled or recolored
independently: the zone boxes, the phase labels, the Expected Direction
label, the Distribution start signal, the Follow-Through Rate row, the
higher-timeframe bias row, the session highlight, and the on-chart legend.
A "completed cycles only" mode is also available, which hides everything
while a cycle is still forming and only draws it — retroactively, all at
once — if and when it actually completes the full sequence.
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CALCULATION AND REPAINT BEHAVIOR
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All detection logic runs exclusively on confirmed, closed bars. Nothing is
decided from an intrabar wick on the currently forming candle. A sweep
candidate's return window is evaluated bar by bar as it actually happens,
never by looking ahead. A confirmed Manipulation call can be superseded
later within the same range by the one-time re-arm described above, but
only by an equally real, fully confirmed opposite-side sweep — never
speculatively, and never by revising a call that has already led to a
resolved outcome. Once a range resolves, or a zone's phase has finished,
its boundaries are not redrawn or repainted. Higher-timeframe data is
requested with lookahead explicitly disabled, so historical bars never
change; only the still-forming higher-timeframe candle can naturally
update until it itself closes, which is standard behavior for any
multi-timeframe context reading and is not repainting in the sense of
historical values changing after the fact.
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LIMITATIONS
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This script is a structure-labeling tool, not a trading system. It has no
concept of risk management, position sizing, or trade execution, and it
does not account for spread, slippage, commissions, or liquidity
conditions specific to any individual broker or exchange. Detection
quality depends heavily on the instrument, timeframe, and chosen
sensitivity setting — a setting well suited to one market or timeframe may
under- or over-detect on another, and some manual tuning of the
sensitivity dial is expected. Past detected cycles, and the Follow-Through
Rate built from them, describe what has already happened on this specific
chart and are not a guarantee of how future cycles on the same chart, or
on any other chart, will behave.
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DISCLAIMER
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This script detects and labels historical and current market structure
per the AMD model only. Nothing it displays is a probability of future
price direction, a guarantee, or a buy or sell instruction — a
Manipulation event describes a liquidity sweep that has already happened,
not a prediction of what comes next, and a Distribution zone is only ever
drawn once the corresponding break has already confirmed. The Expected
Direction label is a restatement of the pattern's own definition, not a
forecast. The Follow-Through Rate is a tally of what has already happened
to this chart's own past Manipulation calls, typically a modest sample
size, and should not be read as a win rate or as investment advice.
Trading involves substantial risk of loss and is not suitable for every
investor. Nothing in this script or its description constitutes financial,
investment, or trading advice, and past structure detected by this
script is not indicative of future results. Use at your own discretion
and risk.
インジケーター
Stop Cluster Magnet Map [AGPro Series]Stop Cluster Magnet Map
🧠 Core Idea
Where are clustered stops likely sitting, and is price being pulled toward them or rejecting after a sweep?
📌 Overview / What it does
Stop Cluster Magnet Map is a rule-based liquidity and market-structure visualization tool designed to identify repeated swing-high and swing-low areas where stop orders may cluster.
The script maps upper and lower stop-cluster zones, grades their quality, tracks magnet pressure, and highlights potential sweep or rejection behavior after price interacts with those zones.
It does not predict future price direction, automate trades, or claim that any stop cluster must be taken. It only visualizes structural conditions that may deserve attention.
🎯 Purpose & Design Philosophy
This script was built to solve a common chart-reading problem: traders often talk about liquidity above highs or below lows, but many tools do not clearly separate clustered stop areas from random swing points.
The design goal is to make stop-cluster context visible at a glance without turning the chart into a noisy signal machine.
It helps traders who study price action, liquidity sweeps, equal highs, equal lows, stop hunts, and structural reaction zones.
⚡ Why This Script Is Different
Most tools mark every swing high or swing low as if each level has the same importance.
This script does NOT treat every pivot as meaningful liquidity.
Instead, it looks for repeated nearby swing points, builds a mapped stop-cluster zone, grades the cluster, tracks magnet pressure, and separates sweep behavior from simple proximity.
⚙️ Methodology
1. Context Detection
The script detects confirmed swing highs and swing lows using a configurable pivot length.
2. Reference Mapping
Nearby repeated swing highs are grouped into an upper stop cluster, while nearby repeated swing lows are grouped into a lower stop cluster.
3. Reaction Evaluation
The script evaluates distance, recency, number of touches, sweep events, and post-sweep close behavior.
4. Visual Output
The active stop-cluster zones, magnet rail, right-side tags, event labels, and decision panel are displayed using a clean AGPro visual hierarchy.
🗺️ How to Read the Chart
Zones represent areas where repeated highs or lows have created potential clustered stops.
Labels identify important events such as upper stops, lower stops, magnet pressure, and sweep behavior.
Colors follow the AGPro visual language: teal for lower-side or recovery-oriented context, pink for upper-side or risk-oriented context, yellow for neutral attention, and indigo for magnet reference.
The panel summarizes the current magnet state, score, upper/lower cluster quality, cluster prices, sweep risk, next context, and active timeframe.
🚦 Signals & States
• UPPER STOPS → repeated swing highs have formed a valid upper stop cluster
• LOWER STOPS → repeated swing lows have formed a valid lower stop cluster
• UPSIDE MAGNET → price is near a higher-quality upper stop cluster
• DOWNSIDE MAGNET → price is near a higher-quality lower stop cluster
• UPPER SWEEP → price moved above the upper cluster and closed back inside
• LOWER SWEEP → price moved below the lower cluster and closed back inside
• BALANCED CLUSTERS → both upper and lower clusters are active, with no dominant side
🔔 Alerts Logic
Alerts can trigger when a new upper or lower stop cluster becomes valid, when price sweeps a stop cluster and closes back inside, or when the dominant magnet side changes.
These alerts are attention markers only. They are not buy or sell signals.
🧩 Confluence Logic (Optional)
The context becomes stronger when a valid stop cluster has multiple touches, remains recent, price approaches the cluster, and sweep behavior appears with a close back inside the mapped zone.
Cluster quality plus proximity plus reaction behavior creates a stronger read than any single condition alone.
📊 When to Use
• Around equal highs or equal lows
• During range-bound markets where stop pools may form
• Before or after liquidity sweeps
• When price is approaching a visible cluster of prior swing points
• When evaluating whether a move is targeting external liquidity
⚠️ When NOT to Use
• In extremely illiquid markets
• During chaotic news-driven candles
• When price history is too short to build reliable clusters
• When the chart is dominated by random spikes rather than readable structure
• As a standalone entry or exit system
🎛️ Key Inputs
• Swing Pivot Length → controls how swing highs and lows are confirmed
• Cluster Validity Lookback → controls how long a cluster remains relevant
• Minimum Cluster Touches → controls how many nearby pivots are needed
• Cluster Width ATR → controls how wide each stop-cluster grouping can be
• Magnet Nearness ATR → controls how sensitive magnet proximity becomes
• Visual settings → control zones, labels, right-side tags, panel, and font sizes
🖥️ Interface & Visual Design
The interface is designed for fast chart reading.
The panel gives the current decision context. Zones show where clustered stops may sit. Labels mark key events. Right-side tags keep current levels readable without forcing the trader to inspect every candle.
The layout is intentionally clean, premium, and structured for public-chart screenshots.
🧪 Practical Usage Workflow
1. Read the panel to identify the current magnet state.
2. Check whether the upper or lower stop-cluster zone is active.
3. Watch how price behaves near the mapped cluster.
4. Evaluate whether a sweep closes back inside or continues beyond the zone.
5. Use broader market context before making any decision.
🔍 Interpretation Guidelines
A strong stop cluster does not mean price must move there.
A sweep does not automatically mean reversal.
The best interpretation comes from combining cluster quality, distance, market structure, volume behavior, volatility, and the trader's own higher-timeframe context.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an automated trading system.
It does not provide guaranteed signals.
It does not know where actual broker stop orders are placed.
⚠️ Limitations & Transparency
The script estimates stop-cluster areas using visible chart structure only.
Different timeframes may show different clusters.
High volatility can expand zones and change quality scores quickly.
Market conditions can shift, and a previously important cluster may lose relevance over time.
🧠 Market Context Notes (Optional)
Stop clusters often matter because repeated highs and lows can become obvious reference points.
When many traders see the same level, price may react around that area, sweep it, reject from it, or continue through it.
This script is designed to make that structural pressure easier to observe.
🧾 Use Case Examples (Optional)
When price approaches an upper stop cluster with a high quality score, the trader can monitor whether the market sweeps above it and closes back inside.
When lower stops cluster beneath a range, the trader can watch whether price is being pulled toward downside liquidity or rejecting before reaching it.
🧱 System Philosophy (Advanced)
The AGPro approach focuses on structured decision support, not hype.
This script turns repeated swing references into a readable liquidity map so traders can evaluate context instead of reacting to isolated candles.
🔐 Non-Promise Statement
No script can guarantee outcomes.
Stop-cluster mapping is a contextual tool, not certainty.
📉 Risk Disclosure
Trading involves risk.
Users are fully responsible for their own analysis, risk management, and trading decisions.
This script is provided for educational and analytical purposes only and does not constitute financial advice.
📚 Educational Note (Optional)
Use this tool to study how repeated highs, repeated lows, sweeps, and reactions appear across different timeframes.
The goal is to improve market observation, not to replace disciplined analysis. インジケーター
Stop Run Reversal Planner [AGPro Series]Stop Run Reversal Planner
🧠 Core Idea
Did a stop run create a confirmed reversal context with clear risk, target room, and next-action guidance?
📌 Overview / What it does
Stop Run Reversal Planner is a chart-first stop-run reversal planning tool built to evaluate wick sweeps around recent range extremes.
The script detects when price runs beyond a prior high or low, checks whether price closes back through the swept reference, evaluates confirmation candle quality, scores volume response, measures target room, and converts the context into a 0-100 reversal readiness score.
It produces stop-run wick zones, confirmation labels, reclaim rails, invalidation guides, reversal target bands, alerts, and a clean AGPro planning panel. It does not predict price direction, automate execution, or claim that every stop run must reverse.
🎯 Purpose & Design Philosophy
This script was built for traders who want structure after a fast liquidity run instead of another simple sweep marker.
Stop-run candles can look dramatic, but not every sweep deserves the same attention. Some sweeps reclaim cleanly, confirm with stronger candle behavior, and leave usable target room. Others are only noise, continuation, or incomplete rejection.
The design supports a planning workflow: identify the stop run, wait for confirmation, read the readiness score, check invalidation, review target room, and decide whether the context deserves attention.
⚡ Why This Script Is Different
Most stop-hunt tools focus on mapping sweep zones or marking that liquidity was taken.
This script does NOT try to clone a stop-hunt map, liquidity grab detector, liquidity sweep engine, order block map, or broad SMC dashboard.
Instead, it focuses on the post-stop-run reversal decision. The key question is not only "was a stop run printed?" The key question is "did that stop run turn into a confirmed reversal plan with acceptable reclaim quality, invalidation logic, and target room?"
⚙️ Methodology
1. Context Detection
The script tracks recent range highs and lows, then checks whether price runs beyond one side with a meaningful wick sweep.
2. Reference Mapping
The swept reference becomes the reclaim rail. The sweep extreme becomes the invalidation guide. The opposite side of the reference range, or an ATR fallback, becomes the target-room guide.
3. Reaction Evaluation
The scoring model evaluates wick sweep quality, close-back-inside behavior, confirmation candle quality, relative volume response, trend-turn context, and available target room.
4. Visual Output
Qualified contexts are displayed through stop-run wick zones, confirmation labels, reclaim rails, invalidation lines, target bands, alerts, and a compact AGPro panel.
🗺️ How to Read the Chart
Zones = the stop-run wick zone between the swept reference and the sweep extreme.
Labels = stop-run watch, confirmed reversal, invalidation, and target-band review markers.
Colors = teal highlights bullish reversal contexts, pink highlights bearish reversal contexts, amber marks watch states, and indigo marks target-room areas.
Panel = the panel summarizes Stop Run, Confirmation, Reclaim Quality, Invalidation, and Action.
🚦 Signals & States
• Bull Stop Run Watch → price swept below the recent low and may need confirmation.
• Bear Stop Run Watch → price swept above the recent high and may need confirmation.
• Bull Reversal Confirmed → downside stop run reclaimed with enough confirmation quality and target room.
• Bear Reversal Confirmed → upside stop run rejected with enough confirmation quality and target room.
• Reversal Invalidated → price crossed the active invalidation guide.
• Target Band Review → price reached the active reversal target band.
🔔 Alerts Logic
Alerts trigger when a bull or bear stop-run watch appears, when a bull or bear reversal confirmation becomes active, when invalidation is crossed, or when the target band is reached.
Alerts are attention markers. They are not trade instructions, entry signals, exit signals, or automation commands.
🧩 Confluence Logic
The reversal context becomes stronger when multiple factors align:
Stop-run wick + close back inside + strong confirmation candle + supportive volume response + usable target room + cleaner trend-turn behavior.
When only one or two factors appear, the script keeps the context in watch mode or ignores it completely.
📊 When to Use
• After fast wick sweeps beyond recent highs or lows
• Around failed breakout or failed breakdown attempts
• In range-edge reversal review workflows
• When price reclaims a swept level and needs structured confirmation
• When a trader wants risk, target, and action context instead of only a sweep marker
⚠️ When NOT to Use
• Very low-liquidity symbols
• Extremely noisy micro-timeframes
• News candles with abnormal gaps
• Strong one-way trend conditions where stop runs may continue rather than reverse
• Situations where the user wants an automatic buy or sell signal
🎛️ Key Inputs
• Stop-Run Reference Lookback → controls the recent high / low range used for sweep detection.
• Sensitivity → changes how selective wick-sweep detection should be.
• Confirmation Mode → controls how strict the post-sweep confirmation candle must be.
• Minimum Reversal Score → sets the 0-100 score required before a confirmed plan is drawn.
• Confirmation Window Bars → defines how long a stop run can wait for confirmation.
• Target Room ATR Fallback → creates a practical target guide when the opposite range side is not useful.
• Invalidation Buffer ATR → places the invalidation guide beyond the sweep extreme.
• Visual settings → control zones, rails, target bands, labels, panel location, panel theme, and font sizes.
🖥️ Interface & Visual Design
The interface is built to stay chart-first.
The panel gives the decision summary. The stop-run zone shows where the sweep happened. The reclaim rail shows the level price had to recover. The invalidation line marks the level that would weaken the reversal context. The target band gives a structured review area without making a promise.
The layout is intentionally compact, readable, and publication-friendly.
🧪 Practical Usage Workflow
1. Read the panel to identify the current Stop Run and Confirmation state.
2. Check whether the chart shows a stop-run wick zone and reclaim rail.
3. Review the Reclaim Quality score and confirmation label.
4. Compare the current price with invalidation and target-band guides.
5. Interpret the context with broader market structure, liquidity, and volatility conditions.
🔍 Interpretation Guidelines
A stop-run watch means price has swept a recent edge, but the reversal plan is not yet confirmed.
A confirmed reversal state means the script found stronger reclaim, candle, volume, and target-room conditions.
An invalidation marker means the active context weakened according to the script rules.
A target-band review marker means price reached a planned review area, not that the move must stop there.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not an auto trading system
• Not a guaranteed signal tool
• Not a stop-hunt zone map
• Not a liquidity grab detector
• Not an order block or FVG map
• Not a generic SMC dashboard
⚠️ Limitations & Transparency
Stop-run behavior changes across symbols, sessions, and timeframes.
Some stop runs continue instead of reversing. Some reclaim attempts fail after confirmation. Some symbols have weak or unreliable volume data, which can affect the score model.
The script provides structured context, not certainty.
🧠 Market Context Notes
Stop-run reversal behavior often appears near visible range edges, prior swing highs, prior swing lows, and failed breakout areas.
The strongest contexts usually combine a meaningful sweep, clean reclaim, strong confirmation candle, usable room, and a clear invalidation guide.
🧾 Use Case Examples
When price runs below a recent low, leaves a strong lower wick, closes back above the swept reference, and confirms with stronger follow-through, the script may classify the context as a bullish stop-run reversal plan.
When price runs above a recent high, rejects the move, closes back below the swept reference, and confirms with stronger downside behavior, the script may classify the context as a bearish stop-run reversal plan.
🧱 System Philosophy
Stop Run Reversal Planner follows the AGPro decision-engine approach: the goal is not to add another signal to the chart, but to organize the decision around validity, score, risk, target room, and next action.
🔐 Non-Promise Statement
No script can guarantee a reversal, outcome, or market reaction.
This script provides rule-based analytical context only.
📉 Risk Disclosure
Trading involves risk.
Users remain responsible for their own decisions, execution, risk management, and interpretation.
This script does not provide financial advice.
📚 Educational Note
Use the output as a structured review layer. The best readings usually come from combining the planner state with broader market structure, timeframe context, liquidity conditions, and personal risk rules.
インジケーター
Liquidity Reclaim Planner [AGPro Series]Liquidity Reclaim Planner
🧠 Core Idea
After a liquidity event, is the reclaim strong enough to matter, or is the move still fragile?
📌 Overview / What it does
Liquidity Reclaim Planner is a chart-first liquidity planning tool designed to evaluate what happens after price sweeps a recent swing liquidity reference.
Instead of treating every liquidity sweep as a finished signal, the script starts a structured reclaim workflow. It maps the liquidity event, the reclaim pocket, the failure line, the target-room corridor, a 0-100 reclaim score, failure risk, and a clear next-action state.
The script does not predict price direction, automate execution, or claim that a reclaim will continue. It organizes post-event liquidity context so traders can review whether the reclaim has enough quality, timing, participation, and room to deserve attention.
🎯 Purpose & Design Philosophy
This script was built for traders who want more than another sweep marker.
Many liquidity tools identify where a stop run, wick raid, or sweep happened. That is useful, but the harder question comes after the event: did price reclaim the level cleanly, is the failure point clear, and is there enough structure room for the idea to remain practical?
Liquidity Reclaim Planner supports a decision-engine mindset. It helps users move from raw event detection toward structured review: event, reclaim, failure risk, target room, and next action.
⚡ Why This Script Is Different
Most tools focus on detecting liquidity sweeps, equal highs, equal lows, or stop-hunt style wick events.
This script does NOT try to become a broad liquidity sweep scanner, an EQH/EQL engine, an order block map, a structural breakout reclaim planner, or a generic support/resistance zone tool.
Instead, it focuses on the post-event reclaim decision. It asks whether the sweep was reclaimed with enough depth balance, close strength, timing, volume response, and structural room to become a useful planning context.
⚙️ Methodology
1. Context Detection
The engine tracks confirmed swing highs and swing lows as active buy-side and sell-side liquidity references.
2. Reference Mapping
When price moves through a fresh liquidity reference by an ATR-normalized amount, the script registers a liquidity event and starts a reclaim plan.
3. Reaction Evaluation
The reclaim score evaluates sweep depth, reclaim close strength, time to reclaim, relative volume response, and room to the next structure reference.
4. Visual Output
The script draws the reclaim pocket, failure line, target-room corridor, event labels, sparse context labels, and the AG Pro decision panel.
🗺️ How to Read the Chart
Zones = the reclaim pocket between the swept liquidity level and the event extreme, plus an optional target-room corridor toward the next structural reference.
Labels = liquidity event, reclaim ready, room thin, failure line, and sparse context states.
Colors = bullish reclaim planning uses AGPro teal, bearish reclaim planning uses AGPro pink, neutral review uses gold, and risk/failure context uses red.
Panel = the panel shows Liquidity Event, Reclaim Score, Failure Risk, Room, and Action.
🚦 Signals & States
• Sell-side Event → price swept a recent swing low and a bullish reclaim plan is being evaluated.
• Buy-side Event → price swept a recent swing high and a bearish reclaim plan is being evaluated.
• Reclaim Watch → price has not yet reclaimed strongly enough, but context is active.
• Planner Ready → reclaim score and target room are strong enough for structured review.
• Risk Review → reclaim exists, but the quality profile is not yet clean.
• Room Thin → reclaim exists, but the next structural room is limited.
• Failure Hit → price crossed the active failure line and the reclaim plan needs reassessment.
🔔 Alerts Logic
Alerts trigger when a sell-side or buy-side liquidity event appears, when a reclaim becomes ready, when the planner reaches Planner Ready state, when target room becomes thin, or when the failure line is crossed.
Alerts are attention markers. They are not trade instructions, entry commands, or automated strategy signals.
🧩 Confluence Logic
The strongest context usually appears when sweep depth is balanced, reclaim happens quickly, the reclaim close is decisive, relative volume supports the reaction, and the target-room corridor is not compressed.
When these elements align, the reclaim score improves and the panel action becomes more useful for structured review.
📊 When to Use
• Liquidity-driven markets where swing highs and swing lows are actively swept.
• Intraday or swing charts where reclaim behavior after stop runs matters.
• 4H charts when the trader wants a balanced view between visible liquidity events and readable planning zones.
• Post-sweep review workflows.
• Situations where the trader needs a clear failure line and room assessment.
⚠️ When NOT to Use
• Extremely low-liquidity symbols where swing references are unreliable.
• Highly chaotic news candles where reclaim behavior is distorted by abnormal volatility.
• Very compressed chop where every small swing becomes noise.
• Markets where volume data is missing or not meaningful, unless volume weighting is interpreted carefully.
🎛️ Key Inputs
• Liquidity Pivot Strength → controls how swing liquidity references are confirmed.
• Max Liquidity Level Age → controls how long a swing reference remains eligible.
• Sensitivity → adjusts how selective liquidity event and reclaim thresholds are.
• Timely Reclaim Window → defines how many bars after the event can still count as timely reclaim.
• Planner Ready Score → controls the 0-100 score threshold for the main ready state.
• Minimum Target Room ATR → controls how much structure room is required before room is considered acceptable.
• Visual settings → control reclaim pockets, failure lines, target-room corridors, labels, panel theme, and font sizes.
🖥️ Interface & Visual Design
The interface is built around a clean AG Pro panel and compact chart visuals.
The first panel row is a merged blue AGPro header. The remaining rows show the active liquidity event, reclaim score, failure risk, target room, and next action.
The chart uses a limited number of zones and labels so the active plan is visible without turning the chart into a crowded liquidity map.
🧪 Practical Usage Workflow
1. Read the panel to identify whether a liquidity event is active.
2. Check the reclaim pocket to understand the swept level and event extreme.
3. Review the reclaim score and failure risk.
4. Check the target-room corridor before assigning importance to the reclaim.
5. Use the Action row to decide whether the context deserves review, waiting, or rejection.
🔍 Interpretation Guidelines
Think in terms of quality, not certainty.
A reclaim with a high score, clean timing, strong close, and enough room is more useful than a late reclaim into nearby structure.
A low score does not mean price cannot move. It means the script's reclaim-planning conditions are not well aligned.
🚫 What This Script Is NOT
• Not a prediction engine.
• Not financial advice.
• Not auto trading.
• Not guaranteed signals.
• Not a complete liquidity or smart-money framework.
• Not an order block, FVG, or generic support/resistance map.
⚠️ Limitations & Transparency
Swing references are confirmed after the selected pivot strength, so the script uses confirmed structure rather than instantly known future pivots.
Different timeframes, symbols, volatility regimes, and liquidity conditions can change how reclaim behavior appears.
Relative volume can add context, but volume response does not guarantee continuation or reversal.
Target-room corridors are structural planning references, not forecasts.
🧠 Market Context Notes
Liquidity events often matter most when they occur around visible swing references that many traders can identify.
The reclaim phase is where the decision quality changes. A fast reclaim can show rejection, while a slow or weak reclaim can indicate fragile context.
The failure line exists so the user can see where the active reclaim idea becomes structurally weaker according to the script's own rules.
🧾 Use Case Examples
When price sweeps a recent swing low, quickly closes back above the level, and the target-room corridor is open, the planner may shift from Reclaim Watch to Planner Ready.
When price reclaims late or reclaims directly into nearby structure, the panel may show Risk Review or Room Thin.
When price crosses the active failure line after reclaim, the script marks Failure Hit so the context can be reassessed.
🧱 System Philosophy
Liquidity Reclaim Planner follows the AGPro Series approach: clear structure, rule-based scoring, readable visuals, and decision support without outcome promises.
The script is designed to help traders review the quality of a setup context, not to replace judgment or risk planning.
🔐 Non-Promise Statement
No script can provide certainty.
No reclaim score guarantees continuation, reversal, or profit.
The output should be interpreted as structured analytical context.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, position sizing, risk controls, and market interpretation.
This script does not provide financial advice, investment advice, or guaranteed trading outcomes.
📚 Educational Note
Use this tool to study how liquidity events evolve after the sweep: whether price reclaims, where the failure line sits, how much room remains, and whether the context is strong enough to deserve further review.
インジケーター
Vestrix.ai Liquidity AtlasVestrix.ai Liquidity Atlas
Built by Vestrix.ai — Build strategies and indicators with your own words not programming
A multi-layer map of non-obvious liquidity zones — the places where stop orders actually accumulate and where institutional reactions occur. Goes beyond the standard PDH / PWH / ONH levels every chart already shows by combining seven independent zone-detection modules into a single overlay.
What it does
Most "key level" indicators draw the obvious: yesterday's high, the weekly high, the overnight high. These levels matter, but they are public knowledge — every screen on every desk already shows them. The Liquidity Atlas focuses instead on the zones traders rarely chart by hand because each requires its own logic: equal highs, untouched legacy levels, isolated rejection wicks, failed breakouts, large fair-value gaps, untouched time-at-price highs, and round-number magnets.
Each zone type is a separate, individually toggleable module with its own parameters and its own mitigation behaviour. The real edge is confluence — where two or three of these zones overlap, reaction probability is meaningfully higher than at any single level.
How it works
The indicator runs seven detection modules in parallel. Each module identifies its zone type, draws it as a rectangle (so the zone has thickness, not just a line), keeps it on chart while it remains relevant, and removes or fades it once it is mitigated.
1. Equal Highs / Equal Lows (EQH / EQL)
Detects clusters of two or more pivot highs (or lows) that fall within a tight tolerance band. Tolerance is configurable as either an ATR multiplier or a fixed tick distance. These clusters mark resting buy-side / sell-side liquidity — pools of stop orders that have accumulated above the highs or below the lows. When price sweeps through such a zone, the liquidity grab is visible in real time.
2. Naked Levels
Tracks previous-day and previous-week highs / lows that have never been retouched since their formation. The longer a level remains untouched, the stronger its pull, because more time has passed without the resting orders being addressed. Levels expire automatically after a configurable number of days / weeks if they are not retouched.
3. Wick Clusters
Flags individual bars that produced a significant rejection wick — a wick larger than X × ATR, accounting for at least Y % of the bar's total range, and printed at an isolated extreme relative to the previous N bars. These wicks indicate that liquidity was defended at that price without trading occurring there, behaviour consistent with hidden iceberg-style orders.
4. Failed Breakouts
A two-stage detector. First, a pivot must be exceeded by at least X × ATR (the breakout). Then, within a configurable confirmation window, price must close back behind the pivot (the failure). When both conditions are met within the window, the level is marked as a failed-breakout zone — a textbook trap that statistically tends to be retested.
5. Liquidity Voids
Identifies large 3-bar fair-value gaps — only those exceeding a minimum size (X × ATR) qualify. Standard small FVGs are deliberately filtered out to avoid clutter. These voids represent vacuum areas where price moved through quickly without trading, and they tend to be filled later.
6. Naked POC
For each session, the price bucket touched by the most bars is recorded as that session's time-at-price high (a TPO-style approximation of a Point of Control, since Pine Script has no access to true volume profile data). When such a POC is never retested afterwards, it becomes a "naked POC" — typically the strongest single magnet of all the level types listed here. Bucket size is configurable to suit different instruments.
7. Round Quarters
Draws psychological round-number levels around the current price (e.g. every 25 points on ES, every 100 on NQ, every 1000 on BTC). Algorithms and retail stops cluster heavily at these prices. Configurable step size, count, and zone width.
Mitigation modes
Every module that can be mitigated offers three independently configurable mitigation modes:
Delete on Touch — the zone is removed as soon as a wick enters it. Best for keeping the chart clean.
Delete on Close Beyond — the zone is kept until a bar actually closes through it. More conservative, useful for slower timeframes.
Fade on Touch — the zone stays visible but is greyed out. Useful when you want to track historical liquidity events for context.
This per-module flexibility means you can, for example, fade EQH / EQL zones to study past sweeps while having Naked POC zones disappear immediately on first touch.
How to use it
The intended workflow is confluence-based: a single zone alone is rarely enough to trade off. The indicator earns its keep when two or three modules align at the same price.
An EQH that overlaps with a Naked POC above current price is a high-probability magnet — both stop liquidity and an unfilled value area pull.
A Liquidity Void that runs through a Round Quarter suggests the void will likely be filled at minimum to that level.
A Failed Breakout zone right above an EQH marks a textbook stop-run-and-reverse setup.
Recommended starting configuration: enable EQH / EQL, Naked Levels, and Liquidity Voids first. Add Wick Clusters and Naked POC once the chart is comfortable. Failed Breakouts and Round Quarters are best switched on situationally.
Settings
Global: label visibility, label size, max age (bars), fade transparency
Per module: enable toggle, detection thresholds, color, max-zones cap, mitigation mode
Instrument tuning: ATR-based thresholds keep the indicator self-scaling across timeframes; bucket size for Naked POC and step size for Round Quarters need to be adjusted for the instrument (ES default = 0.5 / 25; suggestions in the tooltips for MNQ, BTC, EUR/USD)
Alerts
EQH Sweep / EQL Sweep
Naked Level Hit
Failed Breakout Formed
Liquidity Void Filled
All alerts fire on confirmed bar close (no repainting).
Notes
Pivot-based modules (EQH / EQL, Failed Breakouts) confirm pivots with a Right Bars delay (default 5). New zones therefore appear with that delay relative to the pivot bar — this is normal and avoids repainting.
Wick Clusters, Voids, and Naked POC are computed in real time on the developing bar; only after bar close is the zone state final.
Naked POC is approximated through bar-count buckets, not true tick volume. It correlates strongly with a real Volume Profile POC on most instruments, but is not identical.
Concepts such as Equal Highs / Equal Lows, Liquidity Sweeps, Fair Value Gaps, and Naked POC are public Smart Money / ICT and Market Profile concepts. The contribution of this indicator is the unified detection, mitigation handling, and confluence visualization across all seven modules in a single tool.
Disclaimer
This indicator is provided for educational and analytical purposes only. It is not financial advice and does not predict future price movement. Past performance does not guarantee future results. Trade at your own risk.
Built by Vestrix.ai — Build strategies and indicators with your own words not programming
© 2026 Vestrix.ai. Released for educational use on TradingView. インジケーター
Volatility Stop Run Planner [AGPro Series]Volatility Stop Run Planner
🧠 Core Idea
Is the current volatility spike a stop-run review context, or is it behaving more like real expansion?
📌 Overview / What it does
Volatility Stop Run Planner is a chart-first volatility risk and execution-readiness tool designed to evaluate sharp ATR expansion around recent range edges.
The script studies wick expansion, ATR load, close recovery, range-edge penetration, reclaim quality, and early follow-through. It then converts qualified events into a 0-100 planner score, a clear next-action state, reclaim guides, invalidation guides, target-room references, stop-run review zones, expansion review zones, and a clean AGPro planning panel.
It does not predict where price must go next. It does not automate entries or exits. It is built to organize volatile stop-run and expansion contexts so traders can evaluate the event with more structure.
🎯 Purpose & Design Philosophy
This script was built for traders who need a practical decision framework during fast volatility spikes.
Many charts look most confusing exactly when volatility expands: wicks stretch, stops may be triggered, range edges are breached, and the candle can either reclaim or continue. This planner fills that gap by asking whether the spike is showing stop-run characteristics, real expansion behavior, or a cooldown state that still needs confirmation.
The design supports a planning mindset: identify the event, evaluate quality, locate the reclaim level, define invalidation context, estimate target room, and decide what deserves attention next.
⚡ Why This Script Is Different
Most stop-run tools focus on liquidity sweeps, stop-hunt zones, or level raids.
This script does NOT try to become another liquidity grab detector, stop-hunt map, order block map, or generic sweep marker.
Instead, it focuses on the volatility event itself. It evaluates whether a spike around a recent range edge is recovering, rejecting, expanding, or entering a cooldown window. The core output is not a buy or sell signal. It is a planner state that helps the user decide whether the current volatility context deserves review, patience, or no action.
⚙️ Methodology
1. Context Detection
The script measures ATR load, candle range relative to ATR, wick dominance, body efficiency, and recent range-edge interaction.
2. Reference Mapping
It maps the recent high / low reference range, the reclaim level, the spike extreme, the invalidation guide, and the target-room reference.
3. Reaction Evaluation
The model scores stop-run risk, reclaim quality, volatility load, range-edge penetration, and expansion quality. These components are blended into a 0-100 planner score.
4. Visual Output
Qualified events are displayed through stop-run review zones, expansion review zones, reclaim lines, active risk / target guides, optional volatility cooldown boxes, premium labels, alerts, and a compact AGPro panel.
🗺️ How to Read the Chart
Zones = stop-run or expansion review areas created around qualified volatility spike events.
Labels = compact event markers showing the detected context, planner score, score tier, and next-action state.
Colors = bullish reclaim contexts use AGPro teal, bearish reclaim contexts use AGPro pink, and expansion / neutral review contexts use controlled accent tones.
Panel = the panel summarizes Spike State, Planner Score, Stop-Run Risk, Reclaim Quality, Risk / Target, Volatility Load, and Action.
🚦 Signals & States
• Bull Stop-Run → downside spike below the recent range edge followed by reclaim-quality behavior.
• Bear Stop-Run → upside spike above the recent range edge followed by rejection-quality behavior.
• Expansion Up → volatility spike closes cleanly above the recent range edge with stronger body efficiency.
• Expansion Down → volatility spike closes cleanly below the recent range edge with stronger body efficiency.
• Spike Watch → volatility is elevated, but the candle has not yet produced enough reclaim or expansion evidence.
• Normal Load → no qualified volatility event is currently detected.
🔔 Alerts Logic
Alerts trigger when the planner detects a qualified Bull Stop-Run Review, Bear Stop-Run Review, Expansion Up Review, Expansion Down Review, or Spike Watch context.
These alerts are attention markers. They are not trade instructions, entry signals, exit signals, or automated strategy commands.
🧩 Confluence Logic
The strongest planner states appear when multiple conditions align:
ATR spike + wick expansion + range-edge penetration + reclaim quality + clean risk / target context.
When the spike reclaims the reference level with strong wick rejection, the stop-run review context becomes stronger. When the candle closes beyond the range edge with strong body efficiency, the expansion review context becomes stronger.
📊 When to Use
• Around sudden volatility spikes
• Near recent range highs or lows
• During breakout or breakdown attempts
• After large wick candles that need structured interpretation
• When deciding whether a fast move deserves review, patience, or no action
⚠️ When NOT to Use
• Extremely low-liquidity symbols
• Very noisy micro-timeframes
• News-driven candles with abnormal gaps
• Markets where ATR is distorted by isolated historical spikes
• Situations where the user expects a simple signal-only entry tool
🎛️ Key Inputs
• Sensitivity → controls how selective the spike and stop-run planner should be.
• Reference Lookback → defines the recent range edge used for spike evaluation.
• ATR Length → normalizes volatility, invalidation, target room, and label spacing.
• Minimum Planner Score → sets the score required before events are drawn.
• Confirmation Mode → controls how strict reclaim or expansion confirmation should be.
• Cooldown Bars → defines the post-spike visual review window.
• Visual settings → control zones, labels, guides, panel theme, panel location, and font sizes.
🖥️ Interface & Visual Design
The interface is designed to stay chart-first.
The panel provides the decision summary. The chart zones show where the volatility event happened. The reclaim line identifies the reference level. The risk / target guides frame the active review context without turning the script into a trade command system.
The visual hierarchy is intentionally compact, premium, and readable.
🧪 Practical Usage Workflow
1. Read the panel to identify the current Spike State and Planner Score.
2. Check whether the chart is showing a stop-run review, expansion review, or spike watch context.
3. Compare the reclaim line with the candle close and wick behavior.
4. Review the invalidation and target-room guides.
5. Interpret the event within broader market structure and volatility conditions.
🔍 Interpretation Guidelines
A high stop-run risk score means the spike has stronger rejection and reclaim characteristics.
A high expansion score means the spike is behaving more like continuation through the range edge.
A cooldown window means the event needs follow-through review rather than immediate interpretation.
No single score should be read in isolation. The strongest use case is to combine the planner state with structure, liquidity, trend, and timeframe context.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not an auto trading system
• Not a guaranteed signal tool
• Not a liquidity grab detector
• Not a stop-hunt zone map
• Not an order block or FVG map
⚠️ Limitations & Transparency
Volatility behavior changes across symbols, sessions, and timeframes.
ATR can expand sharply during news, low-liquidity gaps, or abnormal market conditions.
Some stop-run-looking candles can still continue in the same direction. Some expansion-looking candles can fail quickly. The script provides structured context, not certainty.
🧠 Market Context Notes
Stop-run behavior often appears when price briefly trades through visible reference areas and then reclaims them.
Expansion behavior often appears when price accepts beyond the reference with stronger body efficiency and less rejection.
The planner is designed to help users separate these contexts with a consistent rule-based framework.
🧾 Use Case Examples
When price spikes below a recent low, leaves a large lower wick, and closes back above the reference, the script may classify the event as a Bull Stop-Run Review.
When price expands above a recent high with a strong body close and limited upper rejection, the script may classify the event as Expansion Up.
When volatility spikes but reclaim or expansion evidence is incomplete, the script may show Spike Watch or keep the event in cooldown.
🧱 System Philosophy
Volatility Stop Run Planner follows the AGPro Series decision-engine approach:
Context first.
Risk before reaction.
Reclaim before assumption.
Expansion quality before excitement.
Attention markers instead of promises.
🔐 Non-Promise Statement
No indicator can remove uncertainty.
No state, score, label, alert, line, or zone should be interpreted as guaranteed market direction.
📉 Risk Disclosure
Trading involves risk.
Users remain responsible for their own analysis, risk management, and decisions.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
The script is designed to make volatile candles easier to review by separating stop-run behavior, expansion behavior, and cooldown context into a clean visual planning workflow.
インジケーター
Liquidity Grab Detector [AGPro Series]🧲 LIQUIDITY GRAB DETECTOR
Detects single-bar multi-level liquidity raids — the precise moment price sweeps a cluster of 2 or more distinct liquidity pools within a single candle and immediately reverses. Built for ICT, Smart Money, and institutional order-flow analysis, this engine identifies the liquidity raids that matter most: simultaneous multi-level stop hunts that typically precede the sharpest reversals.
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🔹 OVERVIEW
Most liquidity tools either track single sweeps or lifecycle-based breach-and-reclaim patterns. This detector focuses on a different, rarer, and higher-conviction event: the single-bar multi-level raid. When one candle sweeps a cluster of two or more untouched liquidity levels (swing highs/lows, session H/L, previous day H/L, previous week H/L) in a single motion, the odds of a meaningful reversal increase significantly. The engine validates each grab with four independent filters, deduplicates overlapping levels, merges adjacent reversal zones for a clean chart, tiers signals by quality, and projects forward target zones.
One-click preset modes (Aggressive / Balanced / Conservative / Custom) make the detector instantly suitable for any style — from high-frequency scalping to premium-only confluence trading — without manual tuning.
This is not a strategy and makes no directional prediction. It is a detection and visualization engine for a specific institutional order-flow footprint.
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🔹 UNIQUE EDGE — HOW THIS DIFFERS
The single-bar multi-level criterion is the defining separator from conventional liquidity tools:
▪ Traditional liquidity sweep detectors flag any single-level sweep. High signal rate, low conviction per signal.
▪ Breach-and-reclaim engines (equal-highs / equal-lows style) require a full lifecycle across multiple bars. Different mechanic, different timing.
▪ This detector requires a cluster of 2+ distinct liquidity levels to be swept in a single candle, within a user-defined ATR proximity. ATR-normalized thresholds adapt across all timeframes and symbols.
▪ ATR-based level deduplication merges coincident sources (e.g. Swing + PDH stacked at the same price) into a single logical level, preventing inflated sweep counts.
▪ Zone overlap-awareness: adjacent same-direction reversal zones are merged into a single extended zone rather than piling multiple boxes on top of each other. Premium, chart-clean visualization.
▪ Strikethrough length clamp keeps historical consumed-level lines from crossing the entire chart, even on long-running indicators.
▪ Preset modes encapsulate calibrated filter stacks, making the detector genuinely plug-and-play.
The combined filter stack (cluster + volume + wick + reversal + cooldown + dedup + zone-merging) produces fewer but significantly higher-quality signals with a clean visual footprint.
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🔹 METHODOLOGY
Preset modes calibrate the detection engine with one selection:
▪ Aggressive — minimum 2 levels, 0.7 ATR cluster, 1.1× volume, 0.15 ATR wick, 2 bar cooldown.
▪ Balanced — minimum 2 levels, 0.45 ATR cluster, 1.5× volume, 0.3 ATR wick, 5 bar cooldown. Default.
▪ Conservative — minimum 3 levels, 0.35 ATR cluster, 2.0× volume, 0.45 ATR wick, 10 bar cooldown. Premium-only.
▪ Custom — honors manually configured input values.
Level registry with deduplication. The script maintains a live registry of untouched liquidity levels built from four configurable sources. Incoming levels within a configurable ATR tolerance of an existing level are merged. Each level is time-stamped, capped at a configurable maximum count, and pruned once it ages beyond the lookback window or is consumed by a grab.
Cluster detection. On every bar, the engine scans active levels on both sides and classifies a bar as a multi-level sweep candidate when it penetrates the minimum level count whose vertical span fits within the ATR proximity band.
Confirmation layers:
1. Volume spike — grab bar volume must exceed the rolling SMA by the preset multiplier.
2. Wick ratio — rejection wick on the grab side must exceed the preset ATR fraction.
3. Immediate reversal — within a configurable window, price must close back beyond the swept cluster.
4. Cooldown — after a confirmed grab, new detections are suppressed.
Zone overlap-awareness. When a new grab's reversal zone falls within a configurable ATR distance of a recent same-direction zone, the existing zone is extended rather than drawing a new overlapping box. Aggregate targets stay clean.
Quality tier classification. Confirmed grabs are automatically tiered by level count, with 4-level grabs and 5+ level grabs receiving progressively stronger visual emphasis.
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🔹 SIGNALS & VISUALS
Confirmed bullish grab — triangle marker below the bar, "LIQ GRAB · N levels swept" label with tier stars for high-quality grabs, and a forward-projected reversal zone above the cluster with a target micro-label.
Confirmed bearish grab — mirror image with bear coloring.
Stagger-aware label placement. When multiple confirmed grabs occur close together on the chart, their labels are automatically offset vertically to prevent visual overlap.
Clean default visual profile. Swept-level strikethrough lines are disabled by default for a premium chart-clean look; enable them for detailed post-grab review. When enabled, a max-age clamp prevents extremely long lines.
Statistics panel (8 rows) — active level count, total grabs, bars since last grab, last grab source composition (dynamic, e.g. "PDL+Swing"), bullish vs bearish breakdown, reversal success rate, and average levels swept per grab.
Alerts — separate alert conditions for bullish and bearish grab confirmations, triggered on bar close.
═══════════════════════════════════════
🔹 KEY INPUTS
Detection Engine
▪ Preset Mode — Aggressive / Balanced / Conservative / Custom.
▪ Minimum Levels Swept, Cluster Proximity, Cooldown — honored in Custom mode.
▪ Level Deduplication (ATR) — merge tolerance for coincident levels.
▪ Level Lookback, Max Active Levels — registry housekeeping.
Liquidity Level Sources — swing highs/lows, session H/L, PDH/PDL, PWH/PWL.
Confirmation Filters — volume multiplier and averaging length, reversal window, minimum wick ratio, ATR length.
Visuals
▪ Toggle labels, strikethroughs, zones, statistics panel.
▪ Label and panel font size (default Normal).
▪ Panel position (8 options) and theme (Dark / Light).
▪ Zone projection length, zone height, zone transparency.
▪ Zone merge distance (ATR-based overlap suppression).
▪ Max strikethrough length (bars).
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🔹 HOW TO USE
1. Start with Balanced preset on any timeframe. The ATR-based cluster logic adapts automatically, but 15m–4H timeframes on liquid instruments produce the cleanest signal set.
2. Switch to Conservative for premium-only signals at key institutional levels, or Aggressive when scalping intraday liquidity dynamics.
3. Watch for grab labels near well-defined liquidity clusters — session opens, PDH/PDL interactions, and at range edges. Tiered grabs (4+ levels raided in one bar) deserve special attention.
4. Use the reversal projection zone as a reference target area, not a mechanical take-profit. Combine with your existing structure, order blocks, or mean-reversion levels.
5. Check the "Last Sources" panel row to see which specific liquidity pools were raided most recently.
6. For detailed post-grab analysis, enable "Show Swept Level Strikethroughs" in the Visuals group. For a clean chart, leave disabled.
7. For fine-grained control, select Custom mode and adjust each filter manually.
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🔹 LIMITATIONS & TRANSPARENCY
▪ No repaint on confirmed signals — grabs are finalized only after the reversal window closes with all filters passing. Swing pivots used as level sources are inherently delayed by the pivot length (standard pivot behavior).
▪ The reversal success metric uses a fixed 1 ATR / 10 bar definition and is provided as context only. It is not a performance claim or win rate.
▪ In strongly trending markets, multi-level sweeps can occur without reversal, producing failed grabs. The filter stack reduces but does not eliminate this.
▪ On very low-liquidity symbols or extremely short timeframes, volume data can be noisy. Consider disabling the volume filter in those conditions.
▪ Session, PDH/PDL, and PWH/PWL levels are derived from the chart symbol's native session definition.
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🔹 RISK DISCLOSURE
This indicator is an analytical and visualization tool. It does not generate buy or sell recommendations, does not guarantee any outcome, and is not a trading strategy. All trading decisions are the sole responsibility of the user. Past pattern behavior does not guarantee future results. Always combine indicator output with your own analysis, risk management, and position sizing framework. インジケーター
AG Pro Stop Hunt Map Engine [AGPro Series]AG Pro Stop Hunt Map Engine
Overview / What it does
AG Pro Stop Hunt Map Engine is a price-action overlay designed to map potential trap zones after liquidity sweeps. The script focuses on moments where price briefly moves beyond an important reference level, rejects that move, and then closes back through the swept area. In practical terms, this helps traders visualize where a failed breakout or failed breakdown may have left trapped positioning behind.
The engine can work with pivot-based liquidity references, previous day high / previous day low references, or both at the same time. This makes it useful for traders who want a structured way to monitor classic stop-hunt behavior without relying on a single interpretation of liquidity. Instead of treating every wick beyond a level as meaningful, the script applies reclaim logic and filtering rules so that only sweeps with stronger reversal characteristics are highlighted.
The core goal is not to predict every reversal. The goal is to organize sweep events into a readable map: where the sweep happened, which side may be trapped, which zones remain active, and which levels are still relevant as price moves forward. That is why the script is built as a map engine rather than a simple marker tool.
This publication is especially suited to traders who study rejection structure, failed continuation, stop runs, and liquidity-driven reversals. It can be used as a visual context layer inside a broader workflow that may already include structure, trend, momentum, or higher-timeframe bias analysis.
Unique Edge
Many liquidity-sweep tools only mark a wick beyond a prior level and stop there. This script takes a more selective approach. It requires a reclaim condition, supports wick-to-body quality filtering, allows optional fake-sweep filtering, and maintains the resulting event as an actionable mapped zone rather than a one-bar marker.
Its main differentiation is the emphasis on post-sweep structure. Once a sweep qualifies, the script builds and extends a zone so the trader can continue monitoring that area after the original event. This provides a cleaner framework for seeing whether the market is respecting that trap region, moving away from it, or invalidating it.
Another important distinction is the visual hierarchy. The script is designed to separate nearest relevant zones from older or weaker context. This helps keep the chart readable while still preserving useful background information. Instead of cluttering the screen with every historical event at equal importance, the engine highlights what is currently closest and most relevant.
Methodology
The script first defines the liquidity source. Users can choose pivot highs and lows, previous day high and previous day low, or a combined mode that monitors both.
For a bullish trap scenario, price must sweep below a valid downside reference and then reclaim it according to the selected conditions. For a bearish trap scenario, price must sweep above a valid upside reference and then reclaim it. This creates two independent directional engines: one for bullish recovery after downside liquidity is taken, and one for bearish rejection after upside liquidity is taken.
The detection logic is built around several layers:
1. Sweep source selection
The engine checks whether price has moved beyond a chosen pivot or previous-day level.
2. Wick / body filter
The script can require a minimum wick-to-body relationship so that weak or low-conviction candles are filtered out.
3. Reclaim close requirement
The user can require price to close back through the swept level before the event is accepted.
4. Fake sweep filter
An optional penetration filter limits how deep price can move beyond the level before the event is treated as lower quality.
5. Zone persistence
Qualified sweep-and-reclaim events are not left as isolated markers. They are stored and extended forward as zones so the trader can monitor their ongoing relevance.
6. Nearest-zone emphasis
The display engine highlights the nearest bull and bear trap zones so current context is easier to read.
The result is a framework that treats sweep events as evolving market context rather than isolated historical dots.
Signals & Alerts
The script identifies two primary event types:
Bull Trap Reclaim
This appears when price sweeps below a valid reference level and then closes back above it, suggesting that downside liquidity may have been taken and rejected.
Bear Trap Reclaim
This appears when price sweeps above a valid reference level and then closes back below it, suggesting that upside liquidity may have been taken and rejected.
Visual elements can include:
- Sweep zones
- Trap labels
- Right-edge state tags
- Nearest-zone emphasis
- Origin markers on qualifying sweep bars
- A summary panel showing current state and nearest bull / bear trap information
Alert conditions are included for:
- Bullish trap reclaim events
- Bearish trap reclaim events
These alerts are event-based. They identify when a qualifying reclaim occurs according to the active settings.
Key Inputs
Sweep Source
Choose whether the engine uses pivots, previous day levels, or both.
Pivot Strength
Controls how strict the pivot reference detection should be.
Require Reclaim Close
Requires price to close back through the swept level before a zone is created.
Min Wick / Body Ratio
Filters low-quality sweeps by requiring stronger rejection candles.
Use Fake Sweep Filter
Enables an additional penetration-depth filter to reduce weaker events.
Max Penetration (ATR Multiple)
Sets the maximum allowed overshoot beyond the swept level when fake-sweep filtering is enabled.
Chart Mode
Allows a cleaner publish-style view or a more detailed analysis-style view.
Label Mode
Controls how aggressively labels are shown on the chart.
Highlight Nearest Bull / Bear Zones
Emphasizes the closest active zones for faster visual interpretation.
Summary Panel
Shows the current trap state, active bull and bear zone counts, nearest trap levels, and the last detected events.
Limitations & Transparency
This script is not a prediction engine and does not guarantee reversals. A sweep-and-reclaim event can still fail, especially in strong directional environments where price continues expanding after a temporary rejection.
Reference choice matters. Pivot-based detection and previous-day level detection describe different types of liquidity behavior. Depending on the instrument, timeframe, and volatility regime, one source may be more relevant than the other.
Filtering also changes behavior significantly. Tight wick/body requirements or stricter fake-sweep settings will reduce signal frequency. Looser settings will create more events but may also admit weaker structures.
Zones are contextual tools, not standalone trade instructions. Many traders may still want to combine the script with higher-timeframe structure, trend bias, volatility context, or execution rules before making decisions.
As with any chart overlay, visual cleanliness depends on timeframe, market conditions, and user configuration. Different settings may be appropriate for intraday charts versus higher-timeframe swing charts.
Risk Disclosure
This script is for chart analysis and market structure visualization only. It does not provide financial advice, trade recommendations, or guaranteed outcomes. Markets can remain irrational longer than a trap setup appears logical, and any liquidity sweep signal can fail.
Always apply independent judgment, position sizing discipline, and risk management. No single indicator should be used in isolation for live trading decisions.
インジケーター
AG Pro Liquidity Sweep Quality [AGPro Series]AG Pro Liquidity Sweep Quality
OVERVIEW / WHAT IT DOES
AG Pro Liquidity Sweep Quality is a pivot-based overlay designed to map bullish and bearish liquidity sweep events around confirmed swing highs and swing lows. Instead of only flagging whether price traded beyond a prior level, the script evaluates whether that move behaved like a meaningful rejection or a weak sweep. The result is a structured liquidity sweep indicator that focuses on sweep quality, not only sweep detection.
In practical terms, the script looks for price moving above a prior swing high or below a prior swing low and then closing back through that level on the same bar or, if enabled, on the next bar. This behavior is commonly associated with stop hunts, failed breakout attempts, failed breakdown attempts, and short-term rejection events around visible liquidity. The script then ranks the event using a multi-factor quality model so the chart does not treat every sweep as equally important.
This makes the tool relevant for traders studying liquidity sweep behavior, smart money concepts, ICT-style chart reading, rejection anatomy, wick-driven reversals, sweep confirmation, and swing-based context. It is not built to predict direction on its own. It is built to organize sweep events so users can distinguish weaker noise from stronger rejection structures.
UNIQUE EDGE
The main objective of this script is not to publish another generic liquidity grab marker. Its edge comes from the fact that it scores each confirmed sweep using a quality framework. That framework combines how deeply price traded through the level, how decisively it closed back beyond the level, the wick-to-body relationship of the sweep bar, relative volume behavior, swing freshness, nearby swing crowding, and optional higher-timeframe bias alignment.
This matters because many sweep-style tools stop at a binary answer:
sweep happened / sweep did not happen.
This script asks a more useful follow-up question:
how good was that sweep?
That distinction is important on real charts. Some liquidity sweeps show strong rejection, clean close-back behavior, fresh structure, and supportive context. Others are simply noisy level violations inside a crowded area. By assigning a quality score, the script is designed to help users compare sweep events with more nuance.
Another distinguishing feature is that the script separates watch conditions from qualified conditions. A level can first be challenged, then either reclaim cleanly or fail to reclaim. This helps reduce the tendency to treat every level breach as a reversal event.
METHODOLOGY
1) SWING DETECTION
The script uses confirmed pivot highs and confirmed pivot lows as its structural reference points. These pivots are not assumed in advance. They become available only after the user-defined Pivot Strength confirmation process is complete.
2) SWEEP TRIGGER
A bearish sweep scenario begins when price trades above a stored swing high.
A bullish sweep scenario begins when price trades below a stored swing low.
3) QUALIFICATION
A sweep is considered qualified when price closes back through the swept level. By default, the script can evaluate same-bar reclaim behavior and, optionally, next-bar reclaim behavior.
4) QUALITY MODEL
Each qualified sweep is scored using multiple factors, including:
- penetration relative to ATR
- rejection distance back through the level
- wick-to-body ratio
- relative volume versus a recent baseline
- freshness of the swing level
- nearby level crowding penalty
- optional higher-timeframe trend alignment bonus
The final output is normalized into a simple 1 to 10 quality score so chart reading remains fast and visually clean.
5) VISUAL MAPPING
Qualified sweeps can display:
- direction label
- quality score label
- sweep zone box
- dashed memory line at the swept level
- optional chart background tint
- compact minor markers for lower-priority qualified sweeps
This allows the chart to remain informative without forcing every event to carry the same visual weight.
SIGNALS & ALERTS
The script includes deterministic alert conditions for:
- Bull Sweep Trigger
- Bear Sweep Trigger
- Bull Sweep Qualified
- Bear Sweep Qualified
- High Quality Bull Sweep
- High Quality Bear Sweep
A trigger means price challenged the stored liquidity level.
A qualified sweep means price also reclaimed the level according to the script rules.
A high-quality sweep means the final score exceeded the selected threshold.
These states are intended to help users organize workflow and review price behavior. They are not instructions to buy or sell.
KEY INPUTS
Pivot Strength
Controls how swings are confirmed. Higher values generally reduce noise but also make structural detection slower and more selective.
Max Swing Age
Limits how long old swing levels remain eligible. This helps keep the liquidity map focused on fresher structure.
Allow Next-Bar Reclaim
Allows the script to qualify a sweep when the reclaim happens on the next bar instead of only the sweep bar itself.
ATR Length
Used in the quality engine to normalize sweep depth and rejection distance.
Relative Volume Length
Defines the baseline used for volume comparison.
Crowding Width (ATR)
Helps penalize sweeps occurring in dense structural clusters, where nearby levels can reduce interpretive clarity.
Higher Timeframe and HTF EMA Length
Used to build an optional bias filter so aligned sweeps can receive a context bonus.
Min Score For Full Labels
Lets users keep high-information labels on stronger sweeps while weaker qualified sweeps can remain as compact markers.
Same-Side Full Label Cooldown
Reduces repeated full labels in the same direction over a short span, improving chart readability.
LIMITATIONS & TRANSPARENCY
This script is a chart-organization tool, not a stand-alone decision engine.
Because the logic is pivot-based, swing levels are only confirmed after the chosen Pivot Strength delay. That means the structural reference points are confirmed swings, not instantly-known highs or lows.
A liquidity sweep on one market, timeframe, or volatility regime may not behave the same way on another. The scoring framework is designed to rank events relative to the script's own rules, not to certify that a sweep will lead to reversal or continuation.
Higher relative volume may improve context, but volume confirmation does not guarantee outcome quality.
The higher-timeframe alignment feature is a contextual filter. It should not be interpreted as a macro trend forecast.
Like any visual overlay, this tool can produce signals in choppy or highly reactive conditions that later prove less useful than they first appeared. Parameter selection matters.
WHAT THIS SCRIPT IS NOT
This script is not a promise of reversal.
It is not a complete smart money framework.
It is not a substitute for execution planning, risk management, or broader market context.
It does not claim to detect institutional intent.
It does not classify every level break as tradable.
Instead, it focuses on one specific chart behavior:
sweep-and-reclaim quality around confirmed swing liquidity.
RISK DISCLOSURE
This indicator is for analytical and educational use only. It does not provide financial advice, investment advice, or guaranteed trade outcomes. Markets can remain irrational, trend aggressively, or ignore local sweep signals for extended periods. Users should validate any chart workflow with their own process, risk controls, and market understanding before acting on any signal or alert.
If you use this tool, it is generally best treated as a structural filter inside a broader workflow rather than as a stand-alone trigger.
AGPro Series note:
This publication is designed to emphasize structured chart reading, deterministic event definitions, and transparent methodology over promotional claims or outcome promises.
インジケーター
Liquidity Sweep Rider Institutional HFT Grabber Liquidity Sweep Rider Strategy (Swing Pivot + Volume Filter)
Publication Description:
This is an open-source Pine Script v6 strategy that identifies potential liquidity sweep patterns around confirmed swing highs and lows.
It uses:
Pivot points (ta.pivothigh / ta.pivotlow) to mark historical swing levels where orders (such as stops or pending entries) often cluster.
A volume filter requiring above-average volume (SMA-based with multiplier) on the sweep candle to highlight stronger moves.
Classic sweep logic: price wicks beyond the level but closes back inside, suggesting a possible reversal after liquidity is taken.
Entry rules:
Long: after a downside sweep below a recent swing low (with volume condition).
Short: after an upside sweep above a recent swing high (with volume condition).
Features include:
Optional toggles to enable/disable long/short directions.
ATR-based stop-loss and take-profit (configurable multipliers and risk-reward ratio).
Visual plots for liquidity levels, entry signals, background highlights, and an info table.
Alert conditions for long/short triggers.
Important notes:
This is an educational/example script for backtesting and learning.
Past performance does not indicate future results. Trading involves significant risk of loss — use proper risk management and never risk more than you can afford to lose.
No guarantees of profitability are made. Always test thoroughly on demo accounts before live use.
Customize parameters (pivot lengths, volume multiplier, ATR settings) based on the instrument and timeframe you trade. Works on various markets/timeframes but performs differently depending on liquidity and volatility.
Feel free to fork/modify the code. Feedback and improvements are welcome!
(≈ 3–4 paragraphs, clear, educational, includes risk disclaimer, explains logic + usage without hype.) ストラテジー
インジケーター
ICT Setup 04 [TradingFinder] SFP Sweep Liquidity Fake CHoCH/BOS🔵 Introduction
In smart money and ICT based trading, liquidity is never random. Some of the most meaningful market moves begin with a liquidity sweep where price intentionally hunts a previous swing high or swing low to trigger stop loss orders and absorb volume.
This manipulation is often followed by a sharp reversal from a reaction zone, creating ideal conditions for a high probability entry. This indicator is built to detect exactly that. It identifies a valid swing point and defines a reaction zone where price is likely to react.
For short setups, the zone lies between the swing high and the maximum of the candle’s open or close. For long setups, it’s drawn from the swing low to the minimum of the open or close.
When price returns to this zone and forms a qualified confirmation candle typically a doji or a small bodied candle that closes inside the zone while sweeping the liquidity this is a potential sign of reversal.
The candle must show both the sweep and the inability to hold above or below the key level, signaling a fake breakout or failed move. By combining elements of liquidity hunt, reaction zone rejection, and candle based entry confirmation, this tool highlights sniper entry points used by smart money to trap retail traders and reverse the trend. It helps filter out noise and enhances timing, making it ideal for trading in alignment with institutional order flow.
Long Position :
Short Position :
🔵 How to Use
This indicator is designed to highlight precise moments where price sweeps liquidity and reacts within a high probability reversal zone. By identifying clean swing highs and lows and defining a smart reaction zone around them, it filters out weak fakeouts and focuses only on setups with strong institutional footprints.
The tool works best when combined with market structure analysis and is suitable for both scalping and intraday trading. Below is a breakdown of how to interpret the signals for long and short positions based on the visual setups provided.
🟣 Long Setup
In a long setup, the indicator first detects a valid swing low where liquidity has likely accumulated below. A reaction zone is then drawn between the swing low and the minimum of the open or close of the swing candle.
When price returns to this zone, it must sweep the previous low and form a precise confirmation candle, such as a doji or a small bodied candle, that closes inside the zone. This candle must also reject the lower level, showing failure to continue downward.
As shown in the chart, once the liquidity grab is complete and the confirmation candle forms, a clean long signal is issued, indicating a potential bullish reversal backed by smart money behavior.
🟣 Short Setup
In a short setup, the indicator identifies a swing high where buy-side liquidity is resting. It then constructs a reaction zone between the high and the maximum of the open or close of the swing candle. Price must return to this zone, sweep the swing high, and form a bearish confirmation candle inside the zone.
A classic example is a doji or rejection candle that traps breakout buyers and fails to hold above the previous high. In the provided chart, the price aggressively hunts the liquidity above the swing high, but the close within the reaction zone signals exhaustion, prompting a short signal with high reversal probability.
These setups represent moments where price action, liquidity behavior, and candle structure align to offer strong entries. By focusing on clean sweeps and reactive confirmations, the indicator helps traders stay on the side of smart money and avoid common breakout traps.
🔵 Settings
🟣 Logical settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
Maximum Distance Between Swing and Signal :The maximum number of candles allowed between the swing point and the potential signal. The default value is 50, ensuring that only recent and relevant price reactions are considered valid.
🟣 Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 Alert Settings
Alert SFP : Enables alerts for Swing Failure Pattern.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
This indicator is built for traders who rely on liquidity driven setups and smart money principles. By combining swing structure analysis with precision reaction zones and strict entry confirmation, it isolates the exact moments where price sweeps liquidity and fails to continue. These are high value points where institutional activity often reveals itself, and retail traps unfold.
Unlike generic breakout tools, this script focuses on quality over quantity by requiring both a sweep of a swing high or low and a confirmed rejection candle that closes inside a predefined zone. With customizable swing depth, proximity filters, visual highlights, and alert functions, it offers a complete framework for identifying and acting on fake breakouts with confidence. Whether you trade forex, crypto, or indices, this tool enhances your ability to align with true order flow and take entries where liquidity is most likely to shift.
インジケーター
KillZones Hunt + Sessions [TradingFinder] Alert & Volume Ranges🟣 Introduction
🔵 Session
Financial markets are divided into various time segments, each with its own characteristics and activity levels. These segments are called sessions, and they are active at different times of the day.
The most important active sessions in financial markets are :
1. Asian Session
2. European Session
3. New York Session
The timing of these major sessions based on the UTC time zone is as follows :
1. Asian Session: 23:00 to 06:00
2. European Session: 07:00 to 16:30
3. New York Session: 13:00 to 22:00
Note
To avoid overlap between sessions and interference in kill zones, we have adjusted the session timings as follows :
• Asian Session: 23:00 to 06:00
• European Session: 07:00 to 14:25
• New York Session: 14:30 to 22:55
🔵 Kill Zones
Kill zones are parts of a session where trader activity is higher than usual. During these periods, trading volume increases and price fluctuations are more intense.
The timing of the major kill zones based on the UTC time zone is as follows :
• Asian Kill Zone: 23:00 to 03:55
• European Kill Zone: 07:00 to 09:55
• New York Morning Kill Zone: 14:30 to 16:55
• New York Evening Kill Zone: 19:30 to 20:55
This indicator focuses on tracking the kill zone and its range. For example, once a kill zone ends, the high and low formed during it remain unchanged.
If the price reaches the high or low of the kill zone while the session is still active, the corresponding line is not drawn any further. Based on this information, various strategies can be developed, and the most important ones are discussed below.
🟣 How to Use
There are three main ways to trade based on the kill zone :
• Kill Zone Hunt
• Breakout and Pullback to Kill Zone
• Trading in the Trend of the Kill Zone
🔵 Kill Zone Hunt
According to this strategy, once the kill zone ends and its high and low lines no longer change, if the price reaches one of these lines within the same session and is strongly rejected, a trade can be entered.
🔵 Breakout and Pullback to Kill Zone
According to this strategy, once the kill zone ends and its high and low lines no longer change, if the price breaks one of these lines strongly within the same session, a trade can be entered on the pullback to that level.
Trading in the Trend of the Kill Zone
We know that kill zones are areas where high-volume trading occurs and powerful trends form. Therefore, trades can be made in the direction of the trend. For example, when an upward trend dominates this area, you can enter a buy trade when the price reaches a demand order block.
🟣 Features
🔵 Alerts
You can set alerts to be notified when the price hits the high or low lines of the kill zone.
🔵 More Information
By enabling this feature, you can view information such as the time and trading volume within the kill zone. This allows you to compare the trading volume with the same period on the previous day or other kill zones.
🟣 Settings
Through the settings, you have access to the following options :
• Show or hide additional information
• Enable or disable alerts
• Show or hide sessions
• Show or hide kill zones
• Set preferred colors for displaying sessions
• Customize the time range of sessions
• Customize the time range of kill zones
インジケーター
The Insider - Hunt Bitcoin CoT DeltaThe Insider - Hunt Bitcoin CoT Delta
The gift of the Squeeze in the Largest 4 open Interest Shorts vs Longs.
Why Bother another CoT signal?
Its different & focused on the Insider's.
Performance -
This Indicator provided a
1. Signal 1 = 26th March 2019 = SUPER LONG at $4,500 that saw a near $14,000 run up
2. Signal 2 = 18th & 24th June 2019 = SHORT at the second & final level $11,700 after repeated attempts & failure in the $13K range, the mini Echo Bitcoin Bull of 2019
3. Signal 3 = 17th December 2019 = LONG $6,900, Bitcoin rallied to Mid $10,500's
4. Signal 4 = 18th Feb 2020 = SUPER SHORT from $9,700's to a final extreme Low of $3,000, calling the CV-19 collapse
5. Signal 5 = 17th March 2020 = LONG from $5,400 no closure point yet
6. Signal 6 = 29th June 2020 = SUPER LONG reiterate from $10,700 no closure sell signal yet
7. Signal 7 = 17th May 2020 = LONG another accumulate LONG with no sell signal yet generated at Post H&S's low of $33,000
Note - This indicator only commences March 2019, as Bitcoin futures were a recent introduction and needed to settle for 6 months in both use and data, no signals were meaningful prior & data was light.
What is Provided. - Please note the need to also add the Hunt Bitcoin Historical Volatility Indicator for full understanding.
We provide 3 things with the 3 indicators.
'Insider' indications from Largest players in the futures market.
1. Bitcoin Macro Buy Signals.
a) The Bitcoin Commitment of Traders results see us focus solely on Largest 4 Short Open Interest & Largest 4 Long Open Interest aspects of the CoT Release data.
When the difference - is tight, a kind of pinch, these have been great Buy signals in Bitcoin.
We call this difference the Delta & When Delta is 5% or less Bitcoin is a Buy.
2. Bitcoin Macro Sells.
a) A sell signal is Triggered in Bitcoin at any point the Largest 4 short OI > or = to 70
3. AMPLIFIER Trade signals 'Super' Longs or Shorts -
Extreme low volatility events leads to highly impulsive & volatile subsequent moves, if either of 1 or 2 above occur, combined with extreme low volatility
a 'Super Long' or 'SUPER SELL' is generated. In the case of the short side, given Bitcoins general expansive and MACRO Bull trend since inception, we seek an additional component
that is an extreme differential/Delta reading between 4 biggest Longs & Shorts OI.
Namely CoT Delta also must be > 47.5%
We also have a Cautionary level, where it is not necessarily a good idea to accumulate Bitcon, as a better opportunity lower may avail itself, see conditions below.
So the required logic explicitly stated below for all Signals.
1. Long - Hunt Bitcoin CoT Delta < or = 5
2. SUPER Long - Hunt Bitcoin CoT Delta < or = 5; and 2 Day Historical Bitcoin Volatility = or < 20
3. Short - Largest 4 Sellers OI = or > 70
4. SUPER Short - Largest 4 Sellers OI = or > 70; AND..
Hunt Bitcoin CoT Delta = or > 47.5 AND 2 Day Historical BTC Volatility = or < 20
5. Caution - Largest 4 Sellers OI = or > 67.5 AND Hunt Bitcoin CoT Delta = or > 45
WARNING SEE Notes Below
Note 1 - = Largest 4 Open Interest Shorts
Note 2 - = Largest 4 Open Interest Longs
Note 3 - = Hunt Cot Delta = (Largest 4 sellers OI) -( Largest 4 Buyers OI)
Caution = Avoid new Bitcoin Accumulation Right Now, A sell signal might follow Enter on next Long
Note 4 - The Hunt Bitcoin COT Delta signal is a Largest 'Insider' Tracking tool based on a segment of Commitment of Traders data on Bitcoin Futures, released once a week on a Friday.
It is a Macro Timeframe signal , and should not be used for Day trading and Short Timeframe analysis , Entries may be optimised after a Hunt Bitcoin CoT Signal is generated by separate shorter Timeframe analysis.
Note 5 - The Historical Bitcoin Volatility is an additional 'Amplifier' component to the 'Hunt Bitcoin Cot Delta' Insider Signal
Note 6 - The Historical Bitcoin Volatility criteria varies by timeframe, the above levels are those applying on a Two Day TF Chart, select this custom timeframe in Trading View.
if additional criteria are met for LONG & SHORT insider signals, they may become 'Super Longs/Shorts', see conditions box above.
インジケーター
The Signal - Hunt Bitcoin CoT Buy/SellThe Signal - Hunt Bitcoin CoT Buy/Sell
Why Bother with another CoT signal?
Its different & focused on the Insider's. The Largest 4 Open Interest Seller and the Largest 4 open Interest Longs, plus the distance they are apart, the Delta, what does high percentage of Largest 4 sellers mean with a low 4 OI Buyers. , what when the usually higher Sellers are low and the largest 4 buyers almost the same value , Time to track the insiders Delta..
Performance -
This Indicator provided a
1. Signal 1 = 26th March 2019 = SUPER LONG at $4,500 that saw a near $14,000 run up
2. Signal 2 = 18th & 24th June 2019 = SHORT at the second & final level $11,700 after repeated attempts & failure in the $13K range, the mini Echo Bitcoin Bull of 2019
3. Signal 3 = 17th December 2019 = LONG $6,900, Bitcoin rallied to Mid $10,500's
4. Signal 4 = 18th Feb 2020 = SUPER SHORT from $9,700's to a final extreme Low of $3,000, calling the CV-19 collapse
5. Signal 5 = 17th March 2020 = LONG from $5,400 no closure point yet
6. Signal 6 = 29th June 2020 = SUPER LONG reiterate from $10,700 no closure sell signal yet
7. Signal 7 = 17th May 2020 = LONG another accumulate LONG with no sell signal yet generated at Post H&S's low of $33,000
Note - This indicator only commences March 2019, as Bitcoin futures were a recent introduction and needed to settle for 6 months in both use and data, no signals were meaningful prior & data was light.
What is Provided. - Please note the need to also add the Hunt Bitcoin Historical Volatility Indicator for full understanding.
We provide 3 things with the 3 indicators.
'Insider' indications from Largest players in the futures market.
1. Bitcoin Macro Buy Signals.
a) The Bitcoin Commitment of Traders results see us focus solely on Largest 4 Short Open Interest & Largest 4 Long Open Interest aspects of the CoT Release data.
When the difference - is tight, a kind of pinch, these have been great Buy signals in Bitcoin.
We call this difference the Delta & When Delta is 5% or less Bitcoin is a Buy.
2. Bitcoin Macro Sells.
a) A sell signal is Triggered in Bitcoin at any point the Largest 4 short OI > or = to 70
3. AMPLIFIER Trade signals 'Super' Longs or Shorts -
Extreme low volatility events leads to highly impulsive & volatile subsequent moves, if either of 1 or 2 above occur, combined with extreme low volatility
a 'Super Long' or 'SUPER SELL' is generated. In the case of the short side, given Bitcoins general expansive and MACRO Bull trend since inception, we seek an additional component
that is an extreme differential/Delta reading between 4 biggest Longs & Shorts OI.
Namely CoT Delta also must be > 47.5%
We also have a Cautionary level, where it is not necessarily a good idea to accumulate Bitcon, as a better opportunity lower may avail itself, see conditions below.
So the required logic explicitly stated below for all Signals.
1. Long - Hunt Bitcoin CoT Delta < or = 5
2. SUPER Long - Hunt Bitcoin CoT Delta < or = 5; and 2 Day Historical Bitcoin Volatility = or < 20
3. Short - Largest 4 Sellers OI = or > 70
4. SUPER Short - Largest 4 Sellers OI = or > 70; AND..
Hunt Bitcoin CoT Delta = or > 47.5 AND 2 Day Historical BTC Volatility = or < 20
5. Caution - Largest 4 Sellers OI = or > 67.5 AND Hunt Bitcoin CoT Delta = or > 45
WARNING SEE Notes Below
Note 1 - = Largest 4 Open Interest Shorts
Note 2 - = Largest 4 Open Interest Longs
Note 3 - = Hunt Cot Delta = (Largest 4 sellers OI) -( Largest 4 Buyers OI)
Caution = Avoid new Bitcoin Accumulation Right Now, A sell signal might follow Enter on next Long
Note 4 - The Hunt Bitcoin COT Delta signal is a Largest 'Insider' Tracking tool based on a segment of Commitment of Traders data on Bitcoin Futures, released once a week on a Friday.
It is a Macro Timeframe signal , and should not be used for Day trading and Short Timeframe analysis , Entries may be optimised after a Hunt Bitcoin CoT Signal is generated by separate shorter Timeframe analysis.
Note 5 - The Historical Bitcoin Volatility is an additional 'Amplifier' component to the 'Hunt Bitcoin Cot Delta' Insider Signal
Note 6 - The Historical Bitcoin Volatility criteria varies by timeframe, the above levels are those applying on a Two Day TF Chart, select this custom timeframe in Trading View.
if additional criteria are met for LONG & SHORT insider signals, they may become 'Super Longs/Shorts', see conditions box above.
インジケーター
The Amplifier - Two Day Historical Bitcoin Volatility PlotThe 3rd piece to the other two pieces to our CoT study. This is the Amplifier, which turns select signals into 'Super' Buys/Sells
The other two being the 'Bitcoin Insider CoT Delta', and the on chart Price indicator most will have, if no others the 'Hunt Bitcoin CoT Buy/Sell Signals' that will indicate the key signals, ave 4 a year on the chart as they occur.
Why Bother another CoT signal?
Its different & focused on the Insider's.
Performance -
This Indicator provided a
1. Signal 1 = 26th March 2019 = SUPER LONG at $4,500 that saw a near $14,000 run up
2. Signal 2 = 18th & 24th June 2019 = SHORT at the second & final level $11,700 after repeated attempts & failure in the $13K range, the mini Echo Bitcoin Bull of 2019
3. Signal 3 = 17th December 2019 = LONG $6,900, Bitcoin rallied to Mid $10,500's
4. Signal 4 = 18th Feb 2020 = SUPER SHORT from $9,700's to a final extreme Low of $3,000, calling the CV-19 collapse
5. Signal 5 = 17th March 2020 = LONG from $5,400 no closure point yet
6. Signal 6 = 29th June 2020 = SUPER LONG reiterate from $10,700 no closure sell signal yet
7. Signal 7 = 17th May 2020 = LONG another accumulate LONG with no sell signal yet generated at Post H&S's low of $33,000
Note - This indicator only commences March 2019, as Bitcoin futures were a recent introduction and needed to settle for 6 months in both use and data, no signals were meaningful prior & data was light.
What is Provided. - Please note the need to also add the Hunt Bitcoin Historical Volatility Indicator for full understanding.
We provide 3 things with the 3 indicators.
'Insider' indications from Largest players in the futures market.
1. Bitcoin Macro Buy Signals.
a) The Bitcoin Commitment of Traders results see us focus solely on Largest 4 Short Open Interest & Largest 4 Long Open Interest aspects of the CoT Release data.
When the difference - is tight, a kind of pinch, these have been great Buy signals in Bitcoin.
We call this difference the Delta & When Delta is 5% or less Bitcoin is a Buy.
2. Bitcoin Macro Sells.
a) A sell signal is Triggered in Bitcoin at any point the Largest 4 short OI > or = to 70
3. AMPLIFIER Trade signals 'Super' Longs or Shorts -
Extreme low volatility events leads to highly impulsive & volatile subsequent moves, if either of 1 or 2 above occur, combined with extreme low volatility
a 'Super Long' or 'SUPER SELL' is generated. In the case of the short side, given Bitcoins general expansive and MACRO Bull trend since inception, we seek an additional component
that is an extreme differential/Delta reading between 4 biggest Longs & Shorts OI.
Namely CoT Delta also must be > 47.5%
We also have a Cautionary level, where it is not necessarily a good idea to accumulate Bitcon, as a better opportunity lower may avail itself, see conditions below.
So the required logic explicitly stated below for all Signals.
1. Long - Hunt Bitcoin CoT Delta < or = 5
2. SUPER Long - Hunt Bitcoin CoT Delta < or = 5; and 2 Day Historical Bitcoin Volatility = or < 20
3. Short - Largest 4 Sellers OI = or > 70
4. SUPER Short - Largest 4 Sellers OI = or > 70; AND..
Hunt Bitcoin CoT Delta = or > 47.5 AND 2 Day Historical BTC Volatility = or < 20
5. Caution - Largest 4 Sellers OI = or > 67.5 AND Hunt Bitcoin CoT Delta = or > 45
WARNING SEE Notes Below
Note 1 - = Largest 4 Open Interest Shorts
Note 2 - = Largest 4 Open Interest Longs
Note 3 - = Hunt Cot Delta = (Largest 4 sellers OI) -( Largest 4 Buyers OI)
Caution = Avoid new Bitcoin Accumulation Right Now, A sell signal might follow Enter on next Long
Note 4 - The Hunt Bitcoin COT Delta signal is a Largest 'Insider' Tracking tool based on a segment of Commitment of Traders data on Bitcoin Futures, released once a week on a Friday.
It is a Macro Timeframe signal , and should not be used for Day trading and Short Timeframe analysis , Entries may be optimised after a Hunt Bitcoin CoT Signal is generated by separate shorter Timeframe analysis.
Note 5 - The Historical Bitcoin Volatility is an additional 'Amplifier' component to the 'Hunt Bitcoin Cot Delta' Insider Signal
Note 6 - The Historical Bitcoin Volatility criteria varies by timeframe, the above levels are those applying on a Two Day TF Chart, select this custom timeframe in Trading View.
if additional criteria are met for LONG & SHORT insider signals, they may become 'Super Longs/Shorts', see conditions box above.
インジケーター
Hunt Bitcoin CoT Buy/Sell signalWhy Bother another CoT signal?
Its different & focused on the Insider's.
Performance -
This Indicator provided a
1. Signal 1 = 26th March 2019 = SUPER LONG at $4,500 that saw a near $14,000 run up
2. Signal 2 = 18th & 24th June 2019 = SHORT at the second & final level $11,700 after repeated attempts & failure in the $13K range, the mini Echo Bitcoin Bull of 2019
3. Signal 3 = 17th December 2019 = LONG $6,900, Bitcoin rallied to Mid $10,500's
4. Signal 4 = 18th Feb 2020 = SUPER SHORT from $9,700's to a final extreme Low of $3,000, calling the CV-19 collapse
5. Signal 5 = 17th March 2020 = LONG from $5,400 no closure point yet
6. Signal 6 = 29th June 2020 = SUPER LONG reiterate from $10,700 no closure sell signal yet
7. Signal 7 = 17th May 2020 = LONG another accumulate LONG with no sell signal yet generated at Post H&S's low of $33,000
Note - This indicator only commences March 2019, as Bitcoin futures were a recent introduction and needed to settle for 6 months in both use and data, no signals were meaningful prior & data was light.
What is Provided. - Please note the need to also add the Hunt Bitcoin Historical Volatility Indicator for full understanding.
We provide 3 things with the 3 indicators.
'Insider' indications from Largest players in the futures market.
1. Bitcoin Macro Buy Signals.
a) The Bitcoin Commitment of Traders results see us focus solely on Largest 4 Short Open Interest & Largest 4 Long Open Interest aspects of the CoT Release data.
When the difference - is tight, a kind of pinch, these have been great Buy signals in Bitcoin.
We call this difference the Delta & When Delta is 5% or less Bitcoin is a Buy.
2. Bitcoin Macro Sells.
a) A sell signal is Triggered in Bitcoin at any point the Largest 4 short OI > or = to 70
3. AMPLIFIER Trade signals 'Super' Longs or Shorts -
Extreme low volatility events leads to highly impulsive & volatile subsequent moves, if either of 1 or 2 above occur, combined with extreme low volatility
a 'Super Long' or 'SUPER SELL' is generated. In the case of the short side, given Bitcoins general expansive and MACRO Bull trend since inception, we seek an additional component
that is an extreme differential/Delta reading between 4 biggest Longs & Shorts OI.
Namely CoT Delta also must be > 47.5%
We also have a Cautionary level, where it is not necessarily a good idea to accumulate Bitcon, as a better opportunity lower may avail itself, see conditions below.
So the required logic explicitly stated below for all Signals.
1. Long - Hunt Bitcoin CoT Delta < or = 5
2. SUPER Long - Hunt Bitcoin CoT Delta < or = 5; and 2 Day Historical Bitcoin Volatility = or < 20
3. Short - Largest 4 Sellers OI = or > 70
4. SUPER Short - Largest 4 Sellers OI = or > 70; AND..
Hunt Bitcoin CoT Delta = or > 47.5 AND 2 Day Historical BTC Volatility = or < 20
5. Caution - Largest 4 Sellers OI = or > 67.5 AND Hunt Bitcoin CoT Delta = or > 45
WARNING SEE Notes Below
Note 1 - = Largest 4 Open Interest Shorts
Note 2 - = Largest 4 Open Interest Longs
Note 3 - = Hunt Cot Delta = (Largest 4 sellers OI) -( Largest 4 Buyers OI)
Caution = Avoid new Bitcoin Accumulation Right Now, A sell signal might follow Enter on next Long
Note 4 - The Hunt Bitcoin COT Delta signal is a Largest 'Insider' Tracking tool based on a segment of Commitment of Traders data on Bitcoin Futures, released once a week on a Friday.
It is a Macro Timeframe signal , and should not be used for Day trading and Short Timeframe analysis , Entries may be optimised after a Hunt Bitcoin CoT Signal is generated by separate shorter Timeframe analysis.
Note 5 - The Historical Bitcoin Volatility is an additional 'Amplifier' component to the 'Hunt Bitcoin Cot Delta' Insider Signal
Note 6 - The Historical Bitcoin Volatility criteria varies by timeframe, the above levels are those applying on a Two Day TF Chart, select this custom timeframe in Trading View.
if additional criteria are met for LONG & SHORT insider signals, they may become 'Super Longs/Shorts', see conditions box above.
インジケーター
Hunt Bitcoin CoT Open Interest DeltaWhy Bother another CoT signal?
Its different & focused on the Insider's.
Performance -
This Indicator provided a
1. Signal 1 = 26th March 2019 = SUPER LONG at $4,500 that saw a near $14,000 run up
2. Signal 2 = 18th & 24th June 2019 = SHORT at the second & final level $11,700 after repeated attempts & failure in the $13K range, the mini Echo Bitcoin Bull of 2019
3. Signal 3 = 17th December 2019 = LONG $6,900, Bitcoin rallied to Mid $10,500's
4. Signal 4 = 18th Feb 2020 = SUPER SHORT from $9,700's to a final extreme Low of $3,000, calling the CV-19 collapse
5. Signal 5 = 17th March 2020 = LONG from $5,400 no closure point yet
6. Signal 6 = 29th June 2020 = SUPER LONG reiterate from $10,700 no closure sell signal yet
7. Signal 7 = 17th May 2020 = LONG another accumulate LONG with no sell signal yet generated at Post H&S's low of $33,000
Note - This indicator only commences March 2019, as Bitcoin futures were a recent introduction and needed to settle for 6 months in both use and data, no signals were meaningful prior & data was light.
What is Provided. - Please note the need to also add the Hunt Bitcoin Historical Volatility Indicator for full understanding.
We provide 3 things with the 3 indicators.
'Insider' indications from Largest players in the futures market.
1. Bitcoin Macro Buy Signals.
a) The Bitcoin Commitment of Traders results see us focus solely on Largest 4 Short Open Interest & Largest 4 Long Open Interest aspects of the CoT Release data.
When the difference - is tight, a kind of pinch, these have been great Buy signals in Bitcoin.
We call this difference the Delta & When Delta is 5% or less Bitcoin is a Buy.
2. Bitcoin Macro Sells.
a) A sell signal is Triggered in Bitcoin at any point the Largest 4 short OI > or = to 70
3. AMPLIFIER Trade signals 'Super' Longs or Shorts -
Extreme low volatility events leads to highly impulsive & volatile subsequent moves, if either of 1 or 2 above occur, combined with extreme low volatility
a 'Super Long' or 'SUPER SELL' is generated. In the case of the short side, given Bitcoins general expansive and MACRO Bull trend since inception, we seek an additional component
that is an extreme differential/Delta reading between 4 biggest Longs & Shorts OI.
Namely CoT Delta also must be > 47.5%
We also have a Cautionary level, where it is not necessarily a good idea to accumulate Bitcon, as a better opportunity lower may avail itself, see conditions below.
So the required logic explicitly stated below for all Signals.
1. Long - Hunt Bitcoin CoT Delta < or = 5
2. SUPER Long - Hunt Bitcoin CoT Delta < or = 5; and 2 Day Historical Bitcoin Volatility = or < 20
3. Short - Largest 4 Sellers OI = or > 70
4. SUPER Short - Largest 4 Sellers OI = or > 70; AND..
Hunt Bitcoin CoT Delta = or > 47.5 AND 2 Day Historical BTC Volatility = or < 20
5. Caution - Largest 4 Sellers OI = or > 67.5 AND Hunt Bitcoin CoT Delta = or > 45
WARNING SEE Notes Below
Note 1 - = Largest 4 Open Interest Shorts
Note 2 - = Largest 4 Open Interest Longs
Note 3 - = Hunt Cot Delta = (Largest 4 sellers OI) -( Largest 4 Buyers OI)
Caution = Avoid new Bitcoin Accumulation Right Now, A sell signal might follow Enter on next Long
Note 4 - The Hunt Bitcoin COT Delta signal is a Largest 'Insider' Tracking tool based on a segment of Commitment of Traders data on Bitcoin Futures, released once a week on a Friday.
It is a Macro Timeframe signal , and should not be used for Day trading and Short Timeframe analysis , Entries may be optimised after a Hunt Bitcoin CoT Signal is generated by separate shorter Timeframe analysis.
Note 5 - The Historical Bitcoin Volatility is an additional 'Amplifier' component to the 'Hunt Bitcoin Cot Delta' Insider Signal
Note 6 - The Historical Bitcoin Volatility criteria varies by timeframe, the above levels are those applying on a Two Day TF Chart, select this custom timeframe in Trading View.
if additional criteria are met for LONG & SHORT insider signals, they may become 'Super Longs/Shorts', see conditions box above.
インジケーター
インジケーター
