TJR Smart Money Model [JOAT]TJR Smart Money Model
An original, non-repainting build of the smart-money day-trading sequence: sweep liquidity, wait for a market-structure shift, confirm with SMT, then enter the retrace — timed to killzones.
What it is
Most "smart money" tools just spray BOS and CHoCH labels wherever price crosses a line. This one follows the actual process the method teaches, as an ordered sequence, and only signals when each step has happened in the right order. It is written from scratch; it implements widely-taught price-action concepts (liquidity, structure, displacement, SMT, killzones) rather than reusing anyone's code.
The sequence it trades
• Liquidity sweep — price raids an obvious swing high or low (where stops rest) and closes back inside. The failed raid, not the level itself, is the trigger. Sweeps are tagged, and the swept buy-side and sell-side liquidity are drawn and labelled.
• Market structure shift (MSS) — after the sweep, a displacement candle (a body larger than an ATR multiple) must break the short-term structure in the opposite direction. Structure is tracked one break per level: each swing can only produce one BOS or CHoCH, so the labels land exactly where the shift occurs instead of being repeated on every bar. This is the direct fix for the "random label" problem common to naive structure scripts.
• SMT divergence — an optional confluence filter. Set a correlated instrument and the tool checks whether that instrument confirms the sweep's new extreme. If your symbol makes a new low but the correlated one does not (or the mirror for highs), that break in correlation is flagged as SMT and can be required for entries. It is read with lookahead disabled, so it never borrows future data.
• Entry — once the MSS confirms, the tool marks the discount/premium zone: the fair-value gap left by the displacement, or the 50% equilibrium of the reversal leg. A signal fires when price retraces into that zone and reacts, inside a user-selected killzone (London and New York AM by default). The stop rests beyond the swept liquidity — the level that invalidates the idea — and targets ladder out in R multiples inside red-risk and green-reward boxes with labelled entry, stop and take-profit prices.
The dashboard
An adjustable "process card" shows exactly which stage the market is in right now — hunting a sweep, swept and awaiting an MSS, or shifted and awaiting the entry retrace — plus the bias, the SMT state, the active killzone, a conviction reading, the current signal, and a live first-target-before-stop tally computed on closed bars only.
How to use it
• Works on any asset and timeframe; it was designed for intraday index, forex and futures trading but the logic is scale-independent.
• For SMT, pair correlated instruments (for example two related indices, or two correlated currency pairs). Leave the correlated symbol blank to trade the model without the SMT filter.
• Set the killzones and timezone to the session you actually trade, or disable the killzone filter to see signals around the clock.
• Read the dashboard stage before acting: the model is a sequence, and the highest-quality entries are the ones where sweep, shift, SMT and killzone all agree.
Settings
Pivot strength, displacement size, sweep-to-MSS and MSS-to-entry windows, fair-value-gap and order-block controls, equilibrium band thickness, SMT symbol and toggle, killzone windows/timezone, candle paint, risk padding and target R multiples, plus dashboard controls.
Originality and usefulness
The value is the ordered, gated state machine: a sweep must precede a displacement-qualified structure shift, which arms an equilibrium/FVG entry, optionally cross-checked against a correlated instrument and a session window. The once-per-level structure logic and the confirmed-bar evaluation make the labels and signals precise and non-repainting — which is what separates this from a pile of overlaid smart-money drawings.
Notes and limitations
• The model is selective by design; on quiet days or ranges it may produce few or no setups. That is intended.
• SMT is only meaningful with a genuinely correlated symbol; a poor pairing produces misleading divergence.
• Displacement and sweeps are defined algorithmically and may differ slightly from a discretionary trader's manual reading.
• The win tally reflects only past bars on the current chart and is not a prediction of future results.
• Educational and analytical tool, not financial advice. Manage your own risk.
— made with passion by officialjackofalltrades
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LIQS and FIBS Scalp SystemOverview
The "LIQS and FIBS Scalp System" is an advanced Smart Money Concepts (SMC) and Price Action indicator designed for traders seeking high-probability scalping and day trading setups. Instead of relying on lagging indicators, this system dynamically maps critical liquidity sweeps, structure shifts, and optimal trade entry zones based entirely on pure price action.
Key Features
HTF Market Structure Bias (No EMA Lag):
The core of the system determines the main trend bias by tracking the most recent Break of Structure (BOS) or Change of Character (CHoCH) on your selected Higher Timeframe (HTF). If the HTF just broke a swing high, your bias is firmly Bullish. If it broke a swing low, your bias is Bearish. This ensures you are always trading in alignment with true institutional market structure, not a delayed moving average.
HTF Sweeps & Reversals:
Automatically identifies liquidity sweeps at Higher Timeframe highs and lows. It monitors price action around these key historical pivot levels and highlights potential reversal pinbars right at the sweep zones.
LTF BOS & CHoCH Logic:
Detects micro Break of Structure (BOS) and Change of Character (CHoCH) patterns to spot short-term momentum shifts in real-time, helping you catch the very beginning of a new leg.
Deep Fibonacci Setups & Runner Targets:
Following a valid CHoCH, the indicator automatically draws Fibonacci retracement zones (0.318 - 0.618) representing optimal entry points. It dynamically projects logical Stop Loss zones and extends up to Target 6 for runners to capture massive long-term trends:
Target 1 & Target 2 for short-term scalps.
Target 3 & Target 4 (3.618 - 4.236 extensions) for day trades.
Target 5 & Target 6 (5.618 - 6.854 extensions) to hold your runners and ride extreme trend continuation.
A-Plus Setup Filter & VWAP:
To protect you from fake breakouts and low-probability trades, the system validates every entry.
Pro-trend setups that align with both the HTF Structure Bias and the VWAP are highlighted with colored entry and target boxes.
Counter-trend or low-probability setups are visually muted (grayed out) so you can easily ignore them.
Built-in alerts notify you only when a micro CHoCH perfectly aligns with the HTF trend direction!
How to Use
Wait for price to sweep an HTF liquidity level, watch for a valid CHoCH in the opposite direction, and set your limit orders inside the highlighted 0.318 - 0.618 Fibonacci reaction box. Trust the colored boxes (A-Plus setups) and ignore the gray ones. Take partial profits at T1 and T2, then leave runners for the deeper T3 to T6 targets!
Disclaimer
This script is provided for educational and informational purposes only and does not constitute financial advice. Trading in financial markets involves a high degree of risk and may not be suitable for all investors. Past performance is not indicative of future results. Always conduct your own research, use strict risk management, and perform thorough backtesting before trading with real funds. 指標
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Composite Liquidity Flow: five-asset weighted flow with RSI confWHAT IT DOES
One histogram that answers "where is the WHOLE market's money leaning?" It estimates buy and sell pressure across five instruments at once — index futures, their ETFs, and an inverse hedge ETF with its logic flipped — weights them, smooths them, and prints the net as a z-scored delta histogram with an RSI confluence layer on top.
HOW IT WORKS
- Per-asset pressure from candle structure (body and wick attribution), priced in dollars, weighted per your inputs.
- The inverse-hedge leg counts its buying as market selling — hedging demand is information.
- Z-score normalization keeps the scale readable across quiet and wild days; a session filter mutes overnight ETF noise.
- Divergences require three consecutive bars of opposing flow plus optional RSI confirmation, with a cooldown so they stay rare.
- Confluence arrows print only when flow direction, flow acceleration, and RSI agree — and a live dashboard scores it all.
HOW TO USE IT
Built for intraday index trading (5m default tuning). Green above zero and accelerating with RSI supportive = the composite tape agrees with your long. The divergence markers are warnings, not entries.
WHAT IT CAN'T DO
All of it is estimated from OHLCV — a well-built proxy, not tick data. The composite describes the index complex; it says nothing about your single stock.
SETTINGS
Five symbols and weights, smoothing and normalization, RSI confluence, divergence strictness, session filter, full display toggles.
Open source. Free. The whole market's lean, one pane. 指標
SMC Reality Check [Concept Hit-Rate Audit]SMC Reality Check
WHAT THIS PUBLICATION ADDS
Hundreds of scripts DRAW Smart Money Concepts. This one MEASURES them.
Every classic SMC event it detects - Order Block retest, Breaker retest,
Fair Value Gap entry, liquidity sweep reclaim, Equal High/Low raid,
structure-break follow-through - is tracked forward, bar by bar, and
resolved as a HIT or a MISS against one uniform, pre-declared rule. The
result is a report card computed on YOUR symbol and YOUR timeframe:
sample size, hit-rate, a Wilson 95% confidence interval, median MFE and
a verdict per concept and side: EDGE, COIN-FLIP or FADE. To my
knowledge, no existing public script forward-tests the SMC toolkit and
reports per-concept outcome statistics like this.
This is deliberately NOT a signal mashup. The six detectors are not
combined to generate entries; each one exists so that its outcomes can
be counted by the same measurement engine. That engine is the reason
the components live in one script: one event definition, one target
rule, one invalidation rule, applied identically to every concept, so
their numbers are comparable side by side. The indicator does not ask
you to believe in SMC. It audits it.
HOW EVENTS ARE DETECTED (all on confirmed bars - nothing repaints)
- Market structure: swing pivots (configurable length) feed a state
machine. A close beyond the last unbroken swing is a structure break
(BOS in trend direction, CHoCH against it) - that bar itself is the
"follow-through" event, expecting continuation.
- Order Blocks: on a structure break, the last opposite-colour candle
before the break becomes the OB (full range or body only). The FIRST
return of price into that zone is the audited retest event.
- Breaker Blocks: an OB broken by the invalidation rule flips polarity
and becomes a Breaker; its first retest is audited the same way.
- Fair Value Gaps: the classic 3-candle imbalance, filtered by a
minimum ATR size. The first return of price into the gap is the event.
- Liquidity sweeps: a wick through a confirmed, unbroken swing high or
low while the bar closes back inside - a stop-hunt. The reclaim close
is the event, expecting a move away from the raided level.
- Equal Highs/Lows: two consecutive swings within an ATR tolerance form
a resting liquidity pool; a wick through it with a close back inside
is the raid event.
HOW OUTCOMES ARE MEASURED
- Every event gets one uniform definition: entry = the event bar close,
target = entry +/- N ATR (default 1.5, measured at event time),
invalidation = the level that falsifies the concept (OB/FVG far edge,
the sweep extreme, the broken structure level; by close or by wick,
selectable).
- HIT: the target is reached before invalidation. MISS: invalidation
first. Conservative by construction: if both happen on the same bar,
it counts as a MISS; if the resolve window (default 40 bars) expires
without a target, it counts as a MISS; if the event bar itself closes
beyond the invalidation, it is an instant MISS.
- Zones are audited on their FIRST test only, so every event is
independent - no double counting. Untested zones that expire are
excluded: statistics describe only what price actually revisited.
- The report card shows, per concept and side: n (resolved events),
hit-rate, the Wilson 95% confidence interval (which is what the
verdict is built from), the median maximum favourable excursion in
ATR, and the verdict: EDGE when the interval's lower bound is above
50%, FADE when the upper bound is below 50%, COIN-FLIP in between,
and no verdict below the minimum sample (default 20).
- Optional Edge Ranking sorts the table by the interval's lower bound,
so the statistically strongest concepts on this chart rise to the top.
A separate filter can restrict markers and alerts to concepts whose
current verdict is EDGE - a display filter only; the statistics always
track every concept.
HOW TO USE
- Read the table before trusting any drawing on the chart - that is the
point of the script. The same concept can be EDGE on one symbol and
FADE on another; the table tells you which is which, here.
- Give it history: statistics need bars. Load more history or use a
lower timeframe if n is small; below the minimum sample the script
deliberately refuses to issue a verdict.
- Treat EDGE as "this event, on this chart, has historically reached
+1.5 ATR before its invalidation more often than not" - context for
your own decisions, not an automatic entry. FADE is a descriptive
label for a historically failing definition, not advice to trade
against it.
- Alerts: create one alert with "Any alert() function call" - each
message names the concept, the side and its measured hit-rate at that
moment. Six classic alertconditions are also available.
SETTINGS GUIDE
- Swing length 5-10 for intraday auditing, 20+ for swing charts.
- Hit target 1.5 ATR and window 40 bars suit intraday; swing traders
may prefer 2-3 ATR with a longer window. Changing the rule changes
the question you are asking - the footer always restates the active
rule so every screenshot carries its own methodology.
- Invalidation "Close" is the forgiving audit, "Wick" the strict one.
LIMITATIONS - READ BEFORE USING
- This is an event study with one fixed rule, not a strategy backtest:
no fees, no slippage, no position sizing, and hit-rate is not P&L. A
hit-rate above 50% against a 1.5 ATR target does not by itself prove
positive expectancy, because the distance to invalidation varies per
event; the 50% line is a neutral reference for the verdict labels,
and the median MFE column adds the magnitude context.
- Pivots confirm after the swing length, so events print with that
structural lag on closed bars only. Reactive by design - the cost of
not repainting.
- Detector definitions are one reasonable, documented interpretation of
SMC concepts; other definitions would produce other numbers.
- The statistics are descriptive for the loaded chart history. Past
behaviour does not guarantee future results. This is a
decision-support tool, not a signal service and not financial advice.
Open-source under MPL 2.0 - study, fork and improve it freely. 指標
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Fractal Timeframe Collision Node [MarkitTick]💡 The financial markets operate across multiple interacting timeframes, creating complex structural geometries that cannot be accurately analyzed through a single, isolated lens. The tool presented here acts as a comprehensive multi-timeframe aggregation engine, designed to isolate highly significant structural support and resistance clusters. By evaluating pivot points across four distinct time spans and merging them based on volatility-adjusted proximity, this system identifies high-probability reaction zones where structural exhaustion is most likely to occur. It is built strictly for the modern Pine Script environment, utilizing an entirely non-repainting architecture that respects the highest standards of data integrity and execution logic.
● ✨ Originality and Utility
Standard pivot or support/resistance scripts typically plot historical swing highs and lows independently. This creates chart clutter and often leaves the analyst guessing which level holds the most technical weight. This tool introduces the concept of "Collision Nodes." Instead of simply drawing every pivot, the algorithm scans higher timeframe data, identifies structural extremes, and clusters them together using a dynamic, adaptive mechanism.
When multiple higher timeframes project a pivot at the exact same price zone, a structural "Collision Node" is formed.
The utility lies in its objective strength grading: a node formed by the confluence of the 1-hour, 4-hour, and Daily charts mathematically demands more respect than a single localized swing point on a lower timeframe.
By filtering out the noise and only projecting nodes that meet a user-defined minimum strength threshold, the analyst is presented with a remarkably clean chart displaying only the most critical, high-liquidity zones.
Furthermore, the script automatically generates full trade execution parameters (Entry, Stop Loss, and multiple Take Profits) directly on the chart when a valid structural rejection occurs.
● 🔬 Methodology and Concepts
• Multi-Timeframe Pivot Extraction
The core engine relies on detecting localized extrema (Pivot Highs and Pivot Lows) over a user-defined lookback window. The script fetches these pivot values simultaneously from three higher timeframes plus the current chart's timeframe. To ensure absolute data integrity and prevent any future data leakage (repainting), the algorithm strictly requests historical, confirmed data using offset historical referencing.
• Volatility-Normalized Spatial Clustering
Once the pivots are extracted, the algorithm must determine if they "collide" or overlap. Because absolute price distance is irrelevant across different assets, the script uses a dynamic clustering mechanism normalized by the Average True Range (ATR).
A tolerance band is calculated by multiplying the current ATR by a user-defined coefficient.
If a newly discovered higher timeframe pivot falls within this exact tolerance band of an existing pivot cluster, it is merged into that cluster, and the cluster's "strength" rating is incremented.
If it falls outside the tolerance band, a new independent node is registered.
• Memory Management and Age Pruning
Financial markets possess a memory, but structural relevance decays over time. The script incorporates a memory management protocol that continually monitors the age of all registered nodes. If a node has not been tested or updated within a specific bar count limit, it is automatically pruned from the active array, ensuring that only highly relevant, modern liquidity pools are analyzed.
• Automated Signal Validation
A visual node is not a signal; it is an area of interest. The script validates trade signals by combining spatial location with price action. A valid signal requires the price to close inside the tolerance zone of a high-strength node, accompanied by a rejection candle (where the wick constitutes a significant percentage of the total candle range), and a structural close confirming the directional bias.
● 🎨 Visual Guide
• Collision Nodes
Teal Horizontal Lines: Represent bullish support nodes. The opacity of the line dynamically shifts based on the strength of the node (darker/more solid lines indicate higher timeframe confluence).
Red Horizontal Lines: Represent bearish resistance nodes. Like the bullish nodes, their visibility scales with structural strength.
Diamond Labels (◆×2, ◆×3): Attached to the end of the node lines, these labels explicitly display the node's strength rating. A "◆×3" label means three separate timeframes have confirmed a pivot at this exact mathematical level.
• Trade Execution Box
Dashed Blue Line: Indicates the exact Entry price upon signal confirmation.
Solid Red Line: Represents the dynamic Stop Loss, which is placed behind the collision node with an added ATR-based buffer to avoid premature liquidation.
Dashed Teal Lines (TP1, TP2, TP3): Represent calculated Take Profit levels projected automatically based on the user's defined Risk-to-Reward (RR) multipliers.
Red Background Fill: Visually maps the total risk zone between the Entry and the Stop Loss.
Teal Background Fill: Visually maps the total reward zone extending from the Entry up to the final Take Profit target.
• Real-time Dashboard
Located by default in the top right corner, this data table provides an instant summary of the market structure.
Bias: Displays the current active signal direction (LONG, SHORT, or NONE).
Active Nodes & Strengths: Lists the exact price levels of the nearest active bull and bear nodes, accompanied by visual progress bars displaying their respective strengths (Green for high strength, Yellow for medium, Red for low).
Trade Tracking: Displays the currently active Stop Loss and primary Take Profit levels if a trade configuration is locked on the chart.
● 📖 How to Use
Apply the indicator to your chart and set your three preferred higher timeframes in the settings (e.g., if trading on the 15-minute chart, you might select 1-Hour, 4-Hour, and Daily).
Observe the chart for the formation of high-strength Collision Nodes (look for ◆×3 or ◆×4 labels). These are your primary zones of interest.
Wait for price action to approach these nodes. Do not place blind limit orders.
Allow the script's internal logic to identify a structural rejection. When a valid rejection candle forms and closes at a node, a trade execution box will automatically populate on the chart.
Use the provided Entry, Stop Loss, and Take Profit lines to format your position sizing and manage the trade according to the mapped risk-to-reward parameters.
Optionally, link the script's advanced JSON webhook alerts to an external execution platform for automated trade routing.
● ⚙️ Inputs and Settings
• Core Settings
Pivot Lookback: The structural length required to confirm a swing high or low.
TF 1, TF 2, TF 3: The three higher timeframes used to scan for structural confluence.
Include Chart TF: Determines if the current chart's timeframe should also contribute to node strength.
Node Tolerance (×ATR): The spatial bandwidth used to cluster pivots together, measured as a multiplier of current volatility.
Min Node Strength: The minimum number of overlapping timeframes required for a node to be rendered on the chart.
• Filters
Require Rejection Candle: Enforces strict price action criteria, demanding that signals only fire if the candle displays a prominent rejection wick.
Min Wick % of Range: The exact percentage of the candle that must be composed of the wick to validate a rejection.
Max Node Age (bars): The duration a node remains active without being re-tested before being permanently purged from memory.
• Trade Tools
SL Buffer (×ATR): Adds a dynamic volatility buffer beyond the structural node to determine the absolute invalidation point.
TP1, TP2, TP3 (×SL Risk): The respective risk-to-reward multipliers used to dynamically project profit targets.
Lock Current Trade Levels: Freezes the visual risk/reward box on the chart until the trade hits either the final target or the stop loss, ignoring subsequent signals.
• Dashboard & Alerts
Show Dashboard: Toggles the visibility of the real-time data table.
Alert Actions: Customizable text fields allowing users to define specific JSON payload strings for long, short, and exit triggers.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
The architectural foundation of this algorithm is heavily rooted in the Fractal Market Hypothesis (FMH), which posits that financial markets exhibit self-similar statistical structures across varying scales of time. In practical terms, a distribution pattern on a 5-minute chart mathematically resembles a distribution pattern on a Weekly chart. By aggregating pivot extrema from multiple independent time scales, this script exploits these fractal geometries to identify areas of harmonic resonance—price zones where liquidity pools overlap across different cohorts of market participants.
To resolve the spatial clustering problem, the system utilizes a volatility-normalized one-dimensional grouping algorithm conceptually akin to Density-Based Spatial Clustering of Applications with Noise (DBSCAN). Instead of utilizing fixed scalar distances (which fail as asset prices scale), the algorithm calculates an epsilon distance bounded by the Average True Range (ATR). This ensures that the clustering logic expands and contracts organically with market entropy. The ultimate output is a mathematically objective reduction of structural noise, isolating only the highest-density liquidity nodes that possess the greatest statistical probability of halting directional momentum.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. 指標
Institutional Flow MatrixInstitutional Flow Matrix is an open-source market-analysis framework designed to organize trend direction, confirmed market structure, institutional price zones, momentum, and location within a dealing range into one readable chart.
The purpose of this indicator is not to predict every price movement or generate constant entries. It is designed to answer a more practical sequence of questions:
1. What is the current directional bias?
2. Is market structure supporting that direction?
3. Is price trading from a meaningful location?
4. Has price returned to an active institutional zone?
5. Is momentum aligned with the proposed setup?
The script combines these questions into a structured workflow while keeping the default chart intentionally clean.
WHY THIS INDICATOR WAS BUILT
Many market-structure indicators display every swing, imbalance, liquidity level, zone, and signal at the same time. While that information can be useful for detailed analysis, it can also make the chart difficult to interpret during live trading.
Institutional Flow Matrix was built around a visual hierarchy:
* Directional bias is the primary layer.
* Active Order Blocks are the principal reaction zones.
* Momentum is a confirmation layer.
* Premium and Discount provide market location.
* Fair Value Gaps, liquidity pools, sweeps, and higher-timeframe levels are optional study tools.
The default Balanced preset focuses on the information most relevant to a directional pullback setup. Minimal mode removes most supporting visuals for live execution. Full mode reveals the additional market-structure tools for deeper analysis.
WHAT MAKES THE IMPLEMENTATION DIFFERENT
The individual concepts used by this script, including pivots, moving averages, ATR trend filters, Order Blocks, Fair Value Gaps, and Premium/Discount ranges, are established forms of technical analysis.
The original contribution of Institutional Flow Matrix is how those components are synchronized and managed as one decision framework.
Key design elements include:
* Confirmed structure events rather than unconfirmed swing guesses.
* A persistent directional state requiring agreement between structure, EMA alignment, and an ATR-based trend filter.
* Order Block freshness validation before a zone is accepted.
* Separate visual duration and analytical lifetime controls for zones.
* Automatic mitigation and expiration of old zones.
* Limited drawing-object counts to prevent long-term chart clutter.
* A weighted confluence model centered on trend, structure, zone interaction, market location, and momentum.
* Three visual presets that change the information hierarchy without changing the underlying calculations.
* Confirmed-bar signals and event-based alerts.
This is not intended to be a collection of unrelated indicators. Each module has a defined role in the same setup process.
DIRECTIONAL BIAS
The chart background represents the script's confirmed directional state.
A bullish state requires agreement between:
* Bullish market structure.
* Fast EMA positioning above the slow EMA.
* Bullish ATR trend conditions.
A bearish state uses the opposite conditions.
The background changes only after the required conditions are confirmed. A larger BUY or SELL label marks a confirmed change in this directional state.
These shift labels are different from the smaller confluence signals. A shift label identifies a change in directional bias. A confluence signal requires additional location, zone, and momentum conditions.
MARKET STRUCTURE
Confirmed pivot highs and lows form the structure engine.
The script tracks:
* Higher Highs
* Higher Lows
* Lower Highs
* Lower Lows
* Breaks of Structure
* Changes of Character
A bullish break occurs when a confirmed bar closes above the latest unbroken confirmed swing high. A bearish break occurs when a confirmed bar closes below the latest unbroken confirmed swing low.
Swing labels are retrospective by design. A pivot can only be confirmed after the selected number of right-side bars has closed. Once confirmed, its label is placed on the candle where the swing originally occurred. The label was not known on that earlier candle.
ORDER BLOCKS
Order Blocks are the primary reaction zones in the indicator.
After a confirmed structure break or qualifying displacement event, the script searches backward for an opposing candle. A candidate candle can be filtered by:
* Candle range relative to ATR.
* Body size as a percentage of candle range.
* Optional volume expansion.
* Wick-based or body-based zone construction.
Before accepting the candidate, the script checks whether price has already invalidated it. This prevents many stale zones from being created after the fact.
Active Order Blocks can be invalidated by either:
* A close beyond the opposite edge.
* A wick beyond the opposite edge.
The selected mitigation method is used consistently during both zone creation and live zone management.
Order Blocks have separate controls for visual extension and analytical age. This allows users to control how long a box remains visible independently from how long it remains eligible for signal calculations.
PREMIUM, DISCOUNT, AND EQUILIBRIUM
The script creates a rolling dealing range from the highest high and lowest low over the selected lookback.
The range is divided into:
* Premium: the upper portion of the range.
* Discount: the lower portion of the range.
* Equilibrium: the 50% midpoint.
Premium and Discount do not generate trades by themselves. They provide location.
In general:
* Bullish setups receive stronger contextual support in Discount.
* Bearish setups receive stronger contextual support in Premium.
* Equilibrium represents the midpoint of the current rolling range.
Because the range is rolling, its boundaries can change when a new lookback high or low is formed.
MOMENTUM RIBBON
The momentum module uses three exponential moving averages and an ATR-normalized difference between the fast and slow averages.
Bullish momentum requires:
* Fast EMA above the slow EMA.
* Positive normalized momentum.
* Momentum above its signal average.
Bearish momentum uses the opposite conditions.
Diamond markers identify confirmed momentum crossings. The ribbon is intended as confirmation rather than a standalone entry system.
CONFLUENCE SIGNALS
The script calculates a 0-100 Confluence Score from five conditions:
* Directional bias: 25 points.
* Market structure: 15 points.
* Momentum alignment: 15 points.
* Active Order Block interaction: 25 points.
* Premium or Discount location: 20 points.
The score measures condition alignment. It is not a probability, win rate, accuracy estimate, or forecast of future performance.
By default, BUY and SELL signals require:
* Confirmed directional bias.
* Matching confirmed structure.
* Interaction with an active Order Block.
* Correct Premium or Discount location.
* Matching momentum.
* Minimum Confluence Score.
* Completion of the selected signal cooldown.
Signals are displayed only when the complete condition changes from false to true. This prevents repeated labels while the same setup remains active.
OPTIONAL ADVANCED MODULES
Full mode provides additional analytical tools:
* Fair Value Gaps with ATR size filtering.
* Equal-high and equal-low liquidity pools.
* Confirmed liquidity sweeps.
* BOS and CHoCH labels.
* HH, HL, LH, and LL labels.
* Previous day, week, and month highs and lows.
* Optional momentum candle coloring.
These features are disabled or hidden from the default Balanced view to preserve readability.
VISUAL PRESETS
Minimal:
Designed for traders who want the least chart interference. It suppresses the background, ribbon, Premium/Discount display, trailing line, dashboard, and advanced structure annotations.
Balanced:
The default view. It emphasizes directional background, active Order Blocks, Premium/Discount context, momentum ribbon, diamonds, signals, and the dashboard.
Full:
Designed for detailed study. It adds structure labels, BOS/CHoCH events, Fair Value Gaps, liquidity tools, higher-timeframe levels, and optional candle coloring.
FOR NEWER TRADERS
A simple workflow is:
1. Start with the Balanced preset.
2. Use the background to identify the current directional bias.
3. Wait for price to return to an Order Block matching that bias.
4. Check whether price is in Discount for a bullish setup or Premium for a bearish setup.
5. Confirm that the momentum ribbon agrees.
6. Treat the signal as a point for further analysis, not an automatic order.
The equilibrium line can be used as a reference for the midpoint of the current dealing range. It is not automatically an entry or exit instruction.
FOR ADVANCED TRADERS
Experienced users can customize:
* Pivot confirmation sensitivity.
* ATR and EMA trend parameters.
* Wick-based versus body-based Order Blocks.
* Displacement-created zones.
* Candle body, range, and volume filters.
* Close-based versus wick-based mitigation.
* Zone visual duration and analytical age.
* Premium and Discount percentages.
* Fair Value Gap size.
* Liquidity sensitivity.
* Momentum lengths.
* Individual signal requirements.
* Minimum confluence threshold.
* Signal cooldown.
* Higher-timeframe reference levels.
Advanced users can also disable individual hard requirements and use the Confluence Score as a more flexible filtering system.
ALERTS
Alert conditions are included for:
* Break of Structure.
* Change of Character.
* New Order Block.
* BUY signal.
* SELL signal.
* Bias-aligned Order Block entry.
* Trend and momentum confluence.
* Liquidity sweep.
Alerts should be created using Once Per Bar Close when confirmed signals are required.
NON-REPAINTING AND TIMING
Structure breaks, directional shifts, zone creation, zone mitigation, momentum events, and confluence signals are evaluated on confirmed bars.
Pivot-based swing labels require future bars to confirm that a swing occurred. After confirmation, the label is displayed on the original pivot candle. This is delayed confirmation with retrospective placement, not advance knowledge of the swing.
Previous-period levels use completed higher-timeframe data.
LIMITATIONS
* This indicator does not predict future prices.
* It does not calculate position size, stop loss, or account risk.
* It is not a complete automated trading system.
* Signals can fail during volatile, illiquid, or range-bound conditions.
* Rolling Premium, Discount, and equilibrium levels can move when the lookback range changes.
* Confirmed pivots introduce an intentional delay.
* Order Block definitions vary among trading methodologies; this script uses the documented candle-search and filtering rules described above.
* Volume behavior differs across asset classes and data providers.
* Parameter settings that work on one symbol or timeframe may not be appropriate for another.
Suggested starting points are the 15-minute and 1-hour charts for intraday analysis and the 4-hour chart for broader swing structure. Users should test settings on their own symbols and trading sessions.
OPEN-SOURCE PURPOSE
The script is published open-source so traders can inspect the calculations, understand why signals occur, verify the confirmed-bar methodology, and adapt the framework for their own research.
The goal is to provide a readable and transparent market-structure workflow rather than a black-box prediction tool.
DISCLAIMER
This indicator is provided for educational and analytical purposes only. It is not financial advice and does not guarantee profitable results. Historical chart behavior does not ensure future performance. Users are responsible for their own analysis, testing, risk management, and trading decisions.
指標
EQH/EQL Liquidity Sweep | AlphaScript⚖️ EQH/EQL Liquidity Sweep
Detects clusters of equal highs (EQH) and equal lows (EQL) the resting-liquidity pools that price hunts and tracks exactly what happens to each one: swept, broken, or still active. Then it measures the real sweep rate so you can see your actual edge.
🎯 Why equal highs and lows matter
When price makes a high, pulls back, then makes another high at the same level, stops pile up just beyond that level — breakout orders, protective stops, resting liquidity.
The more times price taps the same level, the more orders accumulate there. Those pools are what larger participants hunt. This tool maps them automatically and then tells you whether each pool got raided or genuinely failed.
🔍 How pools form
The indicator finds swing highs and lows, then groups any that sit within a configurable tolerance of each other into a single pool.
A pool needs at least a minimum number of touches (default 2) to display. The pool line is drawn at the extreme of the cluster — the highest of the equal highs, or lowest of the equal lows — because that is where the stops actually rest. A small × marks each individual swing that built the pool, and the line thickness and badge show the touch count.
Each pool resolves in one of these ways:
⚡ SWEPT — price wicks through the pool extreme but the bar closes back on the original side. Stops were taken, but the level held on a closing basis. A liquidity raid.
💥 BROKEN — a bar closes through the pool extreme. The level genuinely failed — continuation, not a raid. Breaks are shown separately and never labeled as sweeps.
🛡️ Active — the pool has neither been swept nor broken and is still in play. Pools that go too long without resolving expire and are removed.
First qualifying event wins: one outcome per pool. If a bar both wicks through and closes through, it counts as a break — a close through the level can never be a sweep.
📊 Sweep-rate table | know your real edge
This is what separates the tool from every other equal-highs indicator: instead of just drawing levels, it measures what actually happens to them. The table breaks down every resolved pool by touch count (2 / 3 / 4+) and shows the real sweep and break percentages for each group — computed live from your own instrument, timeframe, and history.
That means you can answer the question that matters before taking a trade: do the pools you're watching actually get swept, or do they break? If 3-touch pools on your instrument sweep far more often than they break, that's a measured edge you can trade around. If 2-touch pools are a coin flip, you know to demand more confluence. The numbers come from the chart, not from a claim on a marketing page.
Only fully resolved pools are counted, active pools are excluded, so the rates can never be inflated by in-progress levels. The denominator is honest: what you see is what actually happened.
⚙️ Settings
-Swing lookback, and equal tolerance in ATR multiples (instrument-independent) or fixed ticks.
-Minimum touches to form a pool, maximum pool age, and how many active pools to track per side.
-Optional minimum wick penetration (ATR-based) to filter marginal sweeps. Does not apply to breaks.
-Optional "Strict Virgin Liquidity" mode: discards a forming level if price closes decisively beyond it before a second touch, so only levels that were never truly broken can pair. Off by default.
-Full display control: pool zones, touch badges, × touch markers, colors, line styles and widths, and how many resolved pools remain on the chart.
-Sweep-rate table with position options.
🔔 Alerts
Per-side sweep alerts (EQH and EQL), separate break alerts, and a combined "Any Pool Swept" alert. All alerts fire on the close of the event bar.
📌 Notes and limitations
-Designed for intraday and swing timeframes. Very low timeframes produce many small pools; adjust tolerance and swing lookback to suit.
-Detection uses standard swing pivots. A peak whose neighboring bar wicks slightly higher may not register as a separate pivot, so not every visual high becomes a pool — tune the swing lookback and tolerance to match how you read structure.
-The equal tolerance is the single most important setting. Too tight and genuine equal levels are missed; too loose and unrelated highs merge. Start moderate and adjust to your instrument.
-The sweep-rate table describes the pools on your loaded chart history. It is a measurement of what happened, not a prediction of what the next pool will do.
✅ Why no repaint
-Pivots are confirmed only after the swing lookback completes, and all pool detection runs on closed bars only. A sweep or break tag will never appear intrabar and then vanish.
-A pool is only evaluated for sweep or break once it has fully formed. A level still building cannot be resolved.
-No request.security() calls are used anywhere. All detection is chart-timeframe state. 指標
ORB & Session Liquidity Model [JOAT]ORB and Session Liquidity Model
Builds the opening range for your chosen session, maps the liquidity around it, and signals breakouts with session-aware trade control.
What it is
The first minutes of a session set a reference range that the rest of the session repeatedly reacts to. This indicator defines that opening range, tracks the liquidity sitting above and below it, and signals confirmed breakouts — with session timing, a daily trade cap and full trade framing built in. It is an original session-driven model, not a generic breakout line.
How it works
• Opening range — during a user-defined opening window (for example the first N minutes of your session), the tool records the high and low. Once the window closes, that range is locked as the reference for the rest of the day and drawn as a box.
• Session logic — the model resets cleanly each new day using a real session-change test, so counters and levels do not carry stale values across sessions. Trading is only permitted inside the active session window you define.
• Liquidity ladder — levels around the range (its extremes and projections) are drawn and labelled as the liquidity price is likely to seek. These give context for where a breakout may run to or reverse from.
• Breakout signals — a Buy fires on a confirmed close beyond the range high plus a buffer; a Sell on a confirmed close below the range low minus the buffer. A per-day maximum-trades cap and a minimum-gap control prevent the level from generating repeated prints as price oscillates around it.
Trade levels
Each breakout draws a red risk box to the stop and a green reward box to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples. Stops relate to the range, which is the structure the trade is based on.
The dashboard
An adjustable session-console panel shows the current session phase (pre-range, range building, or live), the locked range, the directional bias relative to it, the trades used against the daily cap, the active signal, a conviction estimate, and a live first-target-before-stop tally from closed bars only.
How to use it
• Set the opening window and session to match the market you trade (indices, futures, forex sessions, crypto day boundaries).
• Wait for the range to lock, then trade confirmed breakouts in the direction of your bias; use the liquidity ladder for targets and invalidation.
• The daily cap keeps the model disciplined — respect it rather than overriding on every wiggle.
Settings
Opening-range window, session hours, breakout buffer, maximum trades per day, liquidity options, risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
Opening-range breakout is a known concept; the contribution here is the integrated liquidity mapping around the range, the strict session reset and daily trade governance, the confirmed-close breakout logic, and the full non-repainting trade framing — assembled into one session-aware model and explained so each element's role is clear.
Notes and limitations
• Breakouts can fail, and range-bound sessions produce whipsaws around the levels — the buffer and daily cap reduce but do not eliminate this.
• Session settings must match the instrument; a mismatched window will define the range at the wrong time.
• The tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
指標
指標
Supply & Demand Zones Liquidity & Stop Hunt [LunqFX]Supply and demand zones are where price reacts — but most indicators draw every swing as a box and leave you to guess which one matters. Liquidity Zones ranks them: it marks the key supply and demand zones, scores each one by how much liquidity it holds, and shows whether it is still fresh — so you know which level to trade and which to ignore.
❶ WHAT EACH ZONE SHOWS
Every zone is a coloured block — magenta = SUPPLY (sellers, above), teal = DEMAND (buyers, below) — and carries three readings that are original to this script:
LIQ SCORE (0–100) — how much volume traded inside the zone versus the strongest zone on the chart. 100 = the heaviest zone (the real magnet); a low score = a thin, weak level.
VOLUME ▲ / ▼ — the up-volume vs down-volume that built the zone: did buyers or sellers do the work inside it.
FRESH / TESTED N× — FRESH = price has not returned yet (strongest reaction expected); TESTED N× = already retested N times, weaker each time.
❷ HOW TO TRADE IT
1 — Read the BIAS in the panel. ▲ BUY-SIDE = favour longs, ▼ SELL-SIDE = favour shorts. Trade with it, not against it.
2 — Pick a zone with a HIGH LIQ Score (70+). Low-score zones are thin and unreliable — skip them.
3 — Prefer FRESH zones. A FRESH high-LIQ zone is the highest-probability reaction. A many-times-TESTED zone is more likely to break than hold.
4 — Wait for price to return to that zone. The bright edge line is your reference level.
5 — Enter on the reaction: LONG — bias BUY-SIDE, price drops into a FRESH teal DEMAND zone, LIQ 80, Volume ▲ (buyers dominant). Long on the reaction, stop below the zone, target the next supply zone above. SHORT — bias SELL-SIDE, price rallies into a FRESH magenta SUPPLY zone, LIQ 76, Volume ▼ (sellers dominant). Short on the reaction, stop above the zone, target the next demand zone below.
❸ WHAT TO AVOID
Trading low-LIQ zones — they hold little liquidity. Fading a zone whose Volume split disagrees with its side (e.g. a supply zone built on heavy up-volume) — the level is weak. Chasing a many-times-TESTED zone expecting a clean bounce.
Works on any symbol and timeframe — forex, gold (XAUUSD), indices, crypto and stocks — intraday and higher timeframes alike.
❹ DASHBOARD
The panel lists every zone with its price, LIQ Score, FRESH/TESTED status and side (BUY/SELL), plus a LIQ-weighted overall bias — the full picture at a glance. Optional neon candles can be turned off to keep your own style.
❺ HOW IT WORKS
1 — Swing highs and lows are found from confirmed pivots (closed bars — no repainting). Each swing high opens a supply zone, each swing low a demand zone. 2 — Each zone is a block centred on the swing, its height scaled to ATR so it fits the instrument's volatility. 3 — For every zone the script measures the volume traded inside it, the up/down-volume split, and how many separate times price entered it. 4 — LIQ Score = the zone's volume ÷ the strongest zone's volume, scaled 0–100. 5 — The bias is weighted by LIQ Score, so one heavy zone counts for more than several thin ones — an honest read of whether liquidity leans buy or sell.
No repainting
Zones are built only from confirmed pivots and rendered on the last bar over a fixed lookback. A zone that appears in a screenshot is a zone that was there live — history is never recalculated.
This indicator is an educational market-analysis tool, not financial advice. Zone strength and past reactions describe historical behavior and do not guarantee future results. Always confirm with your own analysis and manage risk. 指標
True Order Blocks & Liquidity LevelsTrue Order Blocks & Liquidity Levels — a comprehensive price action toolkit for market structure analysis, liquidity mapping, and institutional zone detection across any instrument and timeframe.
The logic behind order blocks, imbalances, and internal pullbacks is built in strict accordance with the inside bar methodology — one of the most precise approaches to identifying institutional points of interest. Every module accounts for whether a bar is an inside bar, which significantly improves signal quality and eliminates false zones that commonly appear with traditional approaches.
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MODULES
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▸ Internal Pullbacks
Displays market structure as lines connecting sequential pivot highs and lows. Inside bars are ignored during structure building, keeping pullback lines clean and noise-free. The last open line redraws in real time as price develops.
Adjustable number of visible lines
Color, style (solid / dashed / dotted) and width customization
▸ Internal Liquidity
Horizontal lines automatically placed at each confirmed pivot high and low. A line persists until price crosses it — at that moment the line is removed and an alert fires. These levels mark clusters of stop orders and serve as potential targets for liquidity sweeps.
Independent limit on the number of visible levels
Color and style customization
Alert on level breach
▸ Imbalance (FVG)
Fair Value Gap detector built on three consecutive non-inside bars. The algorithm steps over inside bars when searching for the FVG — this means the gap can span more than 3 candles visually if inside bars appear in between, which is intentional and produces cleaner zones. Open-price gaps are handled by clipping FVG boundaries to the body of the middle candle.
Separate colors for bullish and bearish FVG zones
Maximum number of displayed zones
Midline drawn inside each zone for easier reference
▸ Order Blocks
Institutional interest zones formed by a strict algorithm: an order block is drawn only when the bar preceding a FVG performed a liquidity sweep — meaning it broke the high or low of the prior significant pivot. The block is placed on the candle immediately preceding the impulsive move. If an absorption candle stands between the OB candidate and the FVG, the candidate is reset — preventing false blocks from forming on overly aggressive moves.
Automatic mitigation tracking: when price touches the zone, the block changes to a "mitigated" color
Option to hide mitigated blocks entirely
Separate colors for bullish, bearish, and mitigated blocks
Adjustable history depth
Alerts on new block formation and on mitigation
▸ Inside Bars
Highlights bars that fit entirely within the range of the previous mother candle. A series of consecutive inside bars signals compression and accumulation ahead of a directional move.
Barcolor highlight with customizable color
Adjustable lookback depth
▸ Absorption
Marks candles that fully engulf the range of the previous mother candle (high > mother high and low < mother low). These candles often indicate absorption of accumulated positions and a short-term shift in intent.
Separate highlight color independent of Inside Bars
Alert on absorption candle formation
▸ PDH / PDL — Previous Day High & Low
Displays high and low levels from previous trading days (up to 7 days). Levels that have been fully engulfed by price are automatically hidden. Each level is labeled: the most recent is marked "PDH" / "PDL", older ones show the date in month/day format.
Adjustable number of days displayed
Unified color for all PDH/PDL levels
Alert when price crosses a level
▸ Market Sessions
Draws session boxes for each trading session over the last N days. Five fully independent sessions are supported — defaults are Asia, Frankfurt, London, New York, and one custom user-defined session.
Custom name, start and end time (UTC), and background color per session
Optional horizontal border lines showing session high and low
Border style and width customization
Adjustable display depth (number of days)
Alerts when price crosses the high or low of a closed session
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TREND FILTER
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Colors the chart background based on WaveTrend oscillator alignment across up to three independent timeframes. When all selected timeframes show WT above zero simultaneously — bullish background. When all show WT below zero — bearish background. When timeframes disagree — no background, signalling an unclear or transitional market state.
How WaveTrend is calculated: WT is built as a double-smoothed normalized channel index on HLC3. The first EMA measures the average deviation of price from its mean; the result is normalized and smoothed again to produce the final oscillator value. Values above zero indicate bullish bias, below zero — bearish.
Show trend filter — master on/off switch
WT Channel Length — EMA length for channel calculation. Shorter = more reactive
WT Average Length — smoothing EMA applied on top. Larger = calmer signal
TF 1 / TF 2 / TF 3 — each row has an enable toggle and a timeframe selector. Defaults: 15m, 1h, 4h. A disabled timeframe is treated as neutral and excluded from alignment check
Confirm trend on bar close — when enabled, background and alerts only react to values from the last closed HTF bar, eliminating intra-bar repainting. When disabled, the background updates in real time as the HTF bar forms
Bullish / Bearish background colors — customizable with transparency
Trend Changed alert — fires on bar close on any of the six possible state transitions: uptrend ↔ neutral ↔ downtrend and direct flip. Alert message specifies the exact transition
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DASHBOARD
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A compact table showing WaveTrend values for each enabled timeframe. Only enabled timeframes are displayed — from one to three rows.
Column 1: timeframe label (15m, 1h, 4h etc.)
Column 2: current WT value rounded to one decimal. Cell background reflects signal strength: neutral grey (−10 to +10), weak green/red (±10 to ±40), saturated green/red (beyond ±40)
Position — 9 placement options across the chart
Text size — Tiny / Small / Normal / Large
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ALERTS
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Every module has its own independent alert toggle. All messages can optionally be prefixed with the instrument ticker — useful when monitoring multiple charts simultaneously.
Liquidity level breached
Absorption candle formed
New order block created
Order block mitigated
Session high or low crossed
PDH / PDL level crossed
Trend changed (WaveTrend multi-TF)
指標
Liquidity Sweep & Stop-Hunt Signals [ForexCracked]🔵 OVERVIEW
Liquidity Sweep & Stop-Hunt Signals marks the price levels where stop orders pile up, detects the moment price runs those stops and reverses, and prints a BUY or SELL with a ready-made entry, stop and target. It is a focused reversal tool built around one of the most reliable behaviours in the market: the failed breakout.
Every signal confirms on candle close, so nothing repaints after the bar is done. A live dashboard shows the higher-timeframe bias, the last signal, and the current trade plan.
🔵 WHAT A LIQUIDITY SWEEP ACTUALLY IS
Stops cluster in obvious places: just above a recent swing high (buy-side liquidity) and just below a recent swing low (sell-side liquidity). Price is often drawn to those pools because that is where resting orders sit.
A sweep, or stop hunt, happens when price spikes through one of those swings, triggers the stops, and then closes back inside the range on the same candle. Breakout traders get trapped, and the reversal that follows is the trade this tool is built to catch.
🔵 HOW IT FINDS SIGNALS
• It tracks recent swing highs and lows as liquidity lines and keeps them on the chart until they are taken
• A SELL fires when a candle's high runs above a tracked swing high but its close falls back below it (buy-side liquidity swept, then rejected)
• A BUY fires when a candle's low runs below a tracked swing low but its close climbs back above it (sell-side liquidity swept, then rejected)
• An optional rejection-body filter ignores weak wicks and only accepts sweeps that close with a real body back inside the level
• An optional higher-timeframe EMA bias lets you take only trend-aligned sweeps, only counter-trend sweeps, or all of them
🔵 THE TRADE PLAN IT DRAWS
On every signal the tool draws three lines and labels them:
• Entry at the close of the sweep candle
• Stop just beyond the swept wick, with an ATR buffer so normal noise does not clip it
• Target at your chosen reward-to-risk multiple of that stop distance
You get a complete plan on the chart the moment a signal prints, with the exact prices in the label.
🔵 SETTINGS
• Swing Strength: how major a swing must be to count as liquidity (higher = fewer, cleaner levels)
• Levels Tracked: how many liquidity lines to keep per side
• Trend Filter: All sweeps, HTF trend only, or Counter-HTF only
• HTF Bias Timeframe and EMA Length: the higher-timeframe trend reference
• Require Rejection Body and Min Rejection Body (x ATR): quality filter for the sweep candle
• Stop Buffer (x ATR) and Reward : Risk: the trade-plan geometry
🔵 HOW TO USE
• Start on H1 or H4 for forex, gold and indices, with the HTF bias set one or two steps higher
• Treat a swept level plus a strong rejection close as the signal, not the wick alone
• Use Counter-HTF only when you want pure reversal setups at range extremes, and HTF trend only when you want continuation entries after a stop-run against the trend
• Size every trade off the drawn stop distance at a fixed account risk
• Raise Swing Strength on noisy pairs so only the meaningful liquidity gets tracked
🔵 BEST AND WEAKEST CONDITIONS
✅ Strongest at range extremes, session highs and lows, and around prior day or week highs and lows, where liquidity genuinely rests
⚠️ Weakest in fast one-way trends with no pullbacks, and on very low timeframes where every wick looks like a sweep
⚠️ DISCLAIMER
This tool identifies liquidity sweeps and marks reversal setups. It does not predict price. A swept level is a probability, not a certainty, and sweeps can extend further before reversing. Results depend on market conditions, settings, and your own execution and risk management. Shared for educational and research purposes; not financial advice. 指標
Liquidity Sweep + TargetLiquidity Sweep + Target
This indicator detects liquidity sweeps — moments where price wicks beyond a recent swing high or low to trigger stops/liquidity, then closes back inside the range (a classic stop-hunt / SFP pattern). Once a sweep is confirmed, the indicator automatically plots a target level for the expected reversal move.
How it works:
Identifies swing highs and lows using an adjustable pivot lookback.
Bearish Sweep: price wicks above the last swing high but closes back below it → signals potential downside reversal, target plotted below.
Bullish Sweep: price wicks below the last swing low but closes back above it → signals potential upside reversal, target plotted above.
Target calculation: choose between (1) the next opposite-side liquidity level (previous swing point) or (2) a fixed risk:reward multiple of the sweep range — fully configurable in settings.
Features:
Clean sweep labels (bullish/bearish) plotted directly on the chart
Dashed target lines with price labels
Adjustable pivot sensitivity, wick threshold, and RR multiple
Built-in alert conditions for both bullish and bearish sweeps
How to use it:
Wait for a sweep label to print, then look for confirmation (structure shift, momentum candle, or your own entry trigger) before acting on the plotted target. This tool identifies liquidity grabs — it does not predict direction with certainty, so always combine with proper risk management. 指標
Liquidity Sweep & Golden Zone [StrixEDGE]Overview
Liquidity Sweep & Golden Zone is a multi-timeframe structural analysis tool built for traders who use Smart Money Concepts (SMC) and ICT methodology. It identifies liquidity sweeps at confirmed swing levels, maps the Fibonacci Golden Zone (OTE), and presents a real-time confluence dashboard across 15-minute, 1-hour, 4-hour, and daily timeframes.
The indicator answers three questions at a glance: where is the liquidity?, has it been swept?, and do multiple timeframes agree on direction?
How It Works
Liquidity Sweep Detection
The engine tracks confirmed swing highs and swing lows using pivot detection. These pivots represent resting liquidity pools — areas where stop-loss orders accumulate:
- Buy-Side Liquidity (BSL) sits above swing highs, where short sellers place their stops. When price wicks above a swing high and closes back below, a BSL sweep is triggered — signaling that buy-side stops were hunted. This typically precedes bearish continuation.
- Sell-Side Liquidity (SSL) sits below swing lows, where long traders place their stops. When price wicks below a swing low and closes back above, an SSL sweep is triggered — signaling that sell-side stops were hunted. This typically precedes bullish reversal.
Each sweep event displays the estimated volume in USDT at the moment of the sweep. This is calculated as `volume × close` on the sweep bar and serves as a proxy for the magnitude of liquidations that occurred. Higher volume sweeps tend to produce stronger reversals.
After a sweep, the level is updated to the new extreme — preventing duplicate signals and establishing a fresh liquidity reference.
Support & Resistance (Pivot-Based)
Active (un-swept) pivot levels are drawn on the chart as structural Support and Resistance:
- A line extending from the bar where the pivot formed to the current price area
- A zone band (ATR × 0.15) around the level, representing the area of influence
- Origin labels showing "Buy-Side Liquidity SWEEP" or "Sell-Side Liquidity SWEEP" with the USDT volume
- Price labels on the right edge for quick reference
These levels update dynamically: when a new pivot is confirmed, the line starts from the new origin. When a sweep occurs, the level shifts to the sweep bar.
Golden Zone (Fibonacci OTE: 0.618 – 0.786)
The Golden Zone represents the Optimal Trade Entry area — the 61.8% to 78.6% Fibonacci retracement of the most recent price range. Unlike pivot-based calculations, this indicator uses a **lookback-based approach**: it finds the highest high and lowest low over a configurable number of bars, then derives the zone from that range.
The zone is visualized with:
- A filled box between the 0.618 and 0.786 levels (transparency adjustable)
- Dashed border lines at 0.618 and 0.786
- A dotted midline at the 0.702 level
- Price labels showing exact values
- A centered "GOLDEN ZONE" tag
This approach produces a stable, always-visible zone that doesn't depend on individual pivot detection, making it reliable across all market conditions.
Multi-Timeframe Heatmap
The core of this indicator is a 7-column heatmap table that evaluates market conditions across four timeframes simultaneously:
| Column | What It Shows | Bullish | Bearish |
|--------|--------------|---------|---------|
| SWEEP | Recent liquidity sweep direction | ● BULL (SSL swept) | ● BEAR (BSL swept) |
| GZ | Price position relative to Golden Zone | ▲ ABOVE | ▼ BELOW |
| S/R | Price position vs. pivot S/R midpoint | ▲ BULLISH | ▼ BEARISH |
| BIAS | EMA 21/50 trend direction | ▲ BULL | ▼ BEAR |
| RSI | RSI(14) value with decimal precision | Color-coded by zone | Color-coded by zone |
| SIGNAL | Composite of all conditions | LONG ▲ | SHORT ▼ |
Signal Logic: The SIGNAL column counts four conditions per timeframe — RSI above/below 50, price in/above the Golden Zone, price above/below the S/R midpoint, and EMA bias direction. When 3 or more conditions align bullish, the signal reads LONG. When 3 or more align bearish, it reads SHORT. Otherwise, NEUTRAL.
A confluence bar at the bottom aggregates all timeframes. When the majority of conditions across all four timeframes agree, it displays STRONG BULLISH or STRONG BEARISH CONFLUENCE.
RSI Color Coding
| RSI Range | Color | Meaning |
|-----------|-------|---------|
| > 70 | Orange | Overbought |
| 50 – 70 | Green | Bullish momentum |
| 30 – 50 | Red | Bearish momentum |
| < 30 | Blue | Oversold |
Settings
Structure Settings
| Setting | Default | Description |
|---------|---------|-------------|
| Pivot Lookback Length | 5 | Bars left and right to confirm a swing pivot. Higher values produce fewer but stronger levels |
| Sweep Active Memory | 10 | How many bars a sweep signal remains active on the heatmap after detection |
Golden Zone
| Setting | Default | Description |
|---------|---------|-------------|
| Lookback Period | 20 | Number of bars to find highest high and lowest low for Fibonacci calculation |
| Show Golden Zone | On | Toggle zone visibility on chart |
| Fill Golden Zone | On | Shade the area between 0.618 and 0.786 |
| Fill Transparency | 88 | Opacity of the filled zone (50–98) |
| Golden Zone Color | Gold | Color for all Golden Zone elements |
Support & Resistance
| Setting | Default | Description |
|---------|---------|-------------|
| Show S/R on Chart | On | Toggle S/R lines, zone bands, and labels |
| Support Color | Teal | Color for support level and SSL elements |
| Resistance Color | Red | Color for resistance level and BSL elements |
| Line Width | 2 | Thickness of S/R lines (1–4) |
| Line Style | Solid | Solid, Dashed, or Dotted |
| Show Price Labels | On | Display price values at the right edge of each level |
Sweep Event Labels
| Setting | Default | Description |
|---------|---------|-------------|
| Show Sweep Labels | On | Toggle sweep event markers on chart |
| Bullish Sweep Color | Green | Color for SSL sweep labels (bullish reversal) |
| Bearish Sweep Color | Red | Color for BSL sweep labels (bearish reversal) |
Heatmap Table
| Setting | Default | Description |
|---------|---------|-------------|
| Show Heatmap Table | On | Toggle the entire dashboard |
| Table Position | Top Right | 9 position options across the chart |
| Table Cell Size | Normal | Tiny, Small, Normal, Large, or Auto |
Alerts
Five alert conditions are built in and ready to use:
1. Bullish Liquidity Sweep — SSL swept, potential bullish reversal
2. Bearish Liquidity Sweep — BSL swept, potential bearish reversal
3. Bull Sweep + Golden Zone — SSL swept while price is inside the OTE zone (high-probability long)
4. Bear Sweep + Golden Zone — BSL swept while price is inside the OTE zone (high-probability short)
5. Price in Golden Zone — Price enters the 0.618–0.786 zone on any bar
Disclaimer
This indicator is a technical analysis tool designed to assist in identifying potential areas of interest based on market structure and liquidity concepts. It does not constitute financial advice. The USDT volume figures are approximations, not verified liquidation data. Always use proper risk management and combine this tool with your own analysis. Past performance of any signal or pattern does not guarantee future results. Trade at your own risk. 指標
Strong Gold Signals | ProjectSyndicateStrong Gold Signals catches the moment a liquidity grab runs out of fuel — price stabs beyond a level, traps the breakout crowd, then rolls over — and fires the reversal the instant the sweep stops extending. Markets hunt the obvious highs and lows: a candle pushes through a prior swing, an HTF extreme, or a session high/low, spikes just far enough to trip the stops resting there, then rejects with a long wick and closes back showing the move had no follow-through. That failed grab is the event. The engine measures how clean and how loaded that sweep is as a 0–10 Reversal Strength and fires AGAINST the grab — with the snap-back, not with the trap. Every setup gets a structural invalidation level behind the sweep extreme, fixed R-based targets, a 0–10 strength with a 1–4 star rank, and is tracked live on a full statistics dashboard — including honest stop-outs — so you can see exactly how the logic behaves on the symbol and timeframe you trade.
🧠 Sweep Core — the core idea, expressed as a lifecycle: LEVEL ▸ GRAB ▸ REJECTION ▸ STALL ▸ REVERSAL. A fresh liquidity level defines where stops are resting. A grab happens when price closes beyond that level with a rejection wick — the raid that runs the stops and then gets sold (or bought) back into range. The sweep is allowed to keep extending as long as it makes new extremes; the reversal fires on the first confirmed bar that fails to push past the sweep's high or low. Swept highs flip to a SHORT, swept lows to a LONG. Pivots come from confirmed swings and every condition is evaluated on the bar's close, so the structure and the signal do not repaint once they confirm.
🔎 Three Liquidity Sources — you choose what counts as the liquidity being swept. Macro Pivots uses confirmed swing highs and lows and is the validated default on intraday gold. HTF Previous Bar uses the prior higher-timeframe bar's high and low, so the engine hunts the levels bigger players watch. Session High/Low tracks the Asian, London, and New York ranges and reacts when a session extreme is raided. One switch changes the entire character of what the engine treats as a stop-hunt, without touching the rest of the logic.
🔋 Strength Anatomy — a sweep is not just true or false; it is scored for how clean the reversal setup is. The Reversal Strength fuses reversal-native ingredients into a single 0–10 read: trend context (how the higher structure frames the fade), rejection wick (how decisively the grab was rejected), volatility regime (calmer conditions favor clean snap-backs over runaway sweeps), mean proximity (how stretched price is from its baseline), and sweep depth (how far past the level the raid reached before stalling). Each ingredient carries its own weight and contributes to the 0–10 total, and you shape what qualifies through those weights and the wick threshold rather than chasing a single number.
🎯 Structural Invalidation + R-Based Targets — the stop is anchored to the sweep, not guessed. Invalidation sits just beyond the sweep extreme — the price that, if reclaimed, means the grab was real and the reversal failed — plus an ATR buffer for cushion. That distance is then clamped between an ATR floor and an ATR ceiling, so a stop never balloons into a wide one and the 1R target never collapses into a tight scalp. TP1, TP2, and TP3 are set at clean R multiples, defaulting to a deliberately wider 1.5R / 3R / 5R so winners are given room to travel, and fully adjustable to your reward profile. Every signal plots its complete Entry / SL / TP1 / TP2 / TP3 line set, labeled level prices, the swept liquidity level itself, and filled TP / SL zone boxes, with a result label on exit — and every zone is drawn at the same fixed width, so short trades and long trades leave an identical, uniform footprint on the chart.
⭐ 0–10 Strength with Star Tiers — every signal is labeled with its numeric strength, a star rank, and a tier ladder running MINIMAL → WEAK → MODERATE → STRONG → ELITE, so the raw quality of a setup reads at a glance without checking the number. Treat the strength as a cleanliness and confluence read for ranking and thinning setups — it describes how textbook a sweep-and-reject is, not a guaranteed outcome. The Minimum Stars gate restricts what is taken and alerted, while the dashboard keeps tracking every tier in the background so you can see, on your own data, whether higher tiers actually convert better.
🎚️ Conviction Controls — a compact set of dials sets how serious a sweep must be before it counts: the Minimum Stars To Take (the tier floor to fire at all), the Alert Minimum Stars threshold, the Min Reversal Wick that defines a genuine rejection, the Pivot Length that decides which swings qualify as liquidity, the Stop Buffer beyond the sweep, and the max-risk cap and min-risk floor that keep the stop sane. Tighten them for fewer, cleaner reversals; loosen them for more activity. This is your main control over conviction versus frequency.
🧭 Single-Ticket Discipline & Honest Accounting — only one ticket is active at a time, and a Signal Cooldown enforces a minimum gap between entries so one violent, choppy session can't stack overlapping trades. Resolution is SL-first pessimistic with honest partial-target accounting — if a stop is hit after TP1 or TP2, that partial result is booked rather than rounded up to a full win. A time-stop closes any trade that neither targets nor stops within a generous window, so nothing sits open forever and the on-chart statistics track how the setups actually run to target.
📊 Live Statistics Dashboard — a non-intrusive panel tracks, in real time on your chart: the current status (scanning → trade active) and the active trade side, the last signal with its star score, win rate, total closed trades, profit factor, average R per trade, best-performing direction, long vs short win rate, current and max win/loss streaks, and a TP1 / TP2 / TP3 / SL outcome breakdown. A multi-timeframe trend strip shows the current and two higher-timeframe biases at a glance, a Win Rate By Strength table breaks results out by star tier, and a Last Trades ledger lists the most recent outcomes. Every filled trade that reaches an outcome is counted — winners and stop-outs alike — so the numbers are computed live from the real signals on your current symbol and timeframe, not a figure printed in a description.
🎨 Clean Themed Visuals — six coherent palettes, all tuned for a black chart background — Aurora (the clean mint-and-rose default), Gold Noir, Ice Blue, Aqua Violet, Neon Magenta, and Institutional — shade the signal labels, the per-trade SL / TP ladder and zone boxes, the swept-level and pivot-liquidity markers, and the dashboard to one consistent look, so direction and quality read at a glance. Each reversal prints a labeled GOLD LONG or GOLD SHORT signal with its strength, star tier, and direction. A max-drawn-trades cap keeps only the most recent tickets on the chart while the statistics stay cumulative over the full history.
🔔 Detailed Alerts — fires on a Strong Long Reversal, a Strong Short Reversal, any reversal, and on TP3 Hit, Partial TP Exit, and SL events, formatted for manual or automated use. The strength gate can restrict alerts to higher-conviction setups only.
🔧 Fully Customizable — every component is exposed: the liquidity source and its pivot length, HTF resolution, session times and timezone, and the reversal-wick threshold; the ATR length, stop buffer, max-risk cap and min-risk floor, and the three R targets; the cooldown, the time-stop window, the uniform zone width, and the max historical trades drawn; the minimum-stars gate, the alert threshold, and each of the five strength weights; the dashboard position, size, and every section toggle including the MTF strip and its two timeframes; all six themes; and every signal label, star, line, box, level tag, and dashboard element.
🎯 Why this is different — most reversal tools flag a wick or a divergence after the fact. This one treats the liquidity grab and its exhaustion as the event, scores how clean that sweep-and-reject is across trend context, rejection, volatility, stretch, and sweep depth, and fires only when the raid stops extending — catching the snap-back at its origin — then anchors invalidation behind the sweep, ranks every setup on an objective 0–10 scale, and layers a live, honest statistics panel that counts stop-outs in full. You tune and judge it on real, current data from your own chart instead of a marketing number.
🚀 Where to use it — the engine was built and tuned on XAUUSD (gold) on intraday timeframes, where liquidity hunts, session raids, and stop-runs are a constant feature — but the mechanics are symbol-agnostic and rest on universal behavior: every liquid market sweeps its obvious highs and lows. It can be applied to FX majors and crosses, metals, indices, and crypto on intraday timeframes, with the pivot length and ATR-based stop adapting to each instrument's volatility. Because it fades exhaustion, it shines around session extremes and range edges and demands more care in violent one-way trends, where a sweep can keep extending rather than reject — let the dashboard tell you whether the logic suits the pair and timeframe before you commit.
🎯 How to trade it
Apply it to a liquid symbol on an intraday timeframe and let the dashboard populate. Read the live win rate, profit factor, and average R for your symbol and timeframe first — if the logic doesn't suit that market, you'll see it.
Wait for a labeled GOLD LONG / GOLD SHORT reversal — it marks a confirmed close where liquidity was swept and rejected and the sweep has stopped extending, with the strength, star tier, and full Entry / SL / TP1 / TP2 / TP3 already plotted.
Read the star tier and the swept level for a fast conviction check — a decisive rejection at a clean level and a higher tier mean a more textbook fade.
Manage the trade with the plotted levels — the ATR-clamped structural stop sits beyond the sweep and defines your risk, and the wider TP1/2/3 sit at your chosen R multiples. Bank or trail however suits your style.
Use the Minimum-Stars floor, the reversal-wick threshold, the pivot length, the cooldown, and the liquidity source to set your tempo — stricter for fewer, cleaner reversals; looser for more activity — and lean on the star tier to focus on the most textbook grabs.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Default settings were chosen on historical gold data and behavior will vary by symbol, timeframe, session, and configuration; the dashboard's statistics are historical and descriptive, not a forecast. The trade model resolves stop-first and books partial-target exits honestly, so some trades close for a fraction of a target rather than a full win — these are counted in full, which is honest but means win rate alone is misleading; because the targets are intentionally wide, expect a lower headline win rate and always weigh it together with average R and profit factor, and resize the R targets to your own risk profile. Signals confirm on the closed bar, and the pivot-based liquidity source confirms a few bars after a swing forms — so always wait for the labeled reversal on a closed candle. Because the system fades a move, a real breakout or a sweep that keeps extending can run straight through a stop — combine it with your own analysis and risk management, and test it on your market before trading it live. 指標
Equal Highs and Lows [D4A]Overview
This indicator identifies and displays **Relative Equal High (EQH)** and **Equal Low (EQL)** zones, highlighting price levels where the market has stalled or reversed from before. These areas are considered liquidity zones because they mark locations where price has previously paused, reversed, or encountered significant buying or selling activity, and as a result there is a concentration of buy-stops or sell-stops in these zones. In trading approaches such as Smart Money Concepts (SMC/ICT), equal highs and lows are considered important liquidity targets that may influence future market movement, as larger participants are thought to seek the liquidity concentrated around these levels.
How this script is different from other similar tools
- It marks two pivots as Equal Highs only if the second pivot is lower (within the threshold) than the 1st one and likewise, two pivots are marked as Equal Lows only if the second pivot is situated higher (within the threshold) than the 1st pivot. In other words the price has still a reason to re-visit this area
- It provides three different, user configurable pivot lengths that the script scans at the same type in search of EQHL. Most scripts use only one pivot length thus missing on many potential targets
- Apart from main labels, it draws also side labels at defined location which can be convenient to see all EQHL target levels at glance
How It Works
The indicator analyses **pivot highs** and **pivot lows** to locate meaningful swing points on the chart. When two consecutive pivots form within a user-defined price threshold, they are recognized as an Equal Highs or Equal Lows. A line is then drawn between the matching pivots, and the zone is labelled for easy identification.
Since market prices rarely align at exactly the same value, the indicator includes a **ATR Threshold** setting. This parameter specifies the maximum percentage difference allowed between two pivot levels for them to qualify as equal, giving traders the flexibility to adjust the detection based on market volatility and their preferred level of precision.
How to Use
(EQH/EQL) are strong liquidity targets: Use the marked levels as potential targets for take-profits, as price often seeks out these "equal" levels to sweep liquidity.
SETTINGS
- Show EQHL - show labels and drawings
- # of bars to use - limits the number of bars used to find EQHL
- Threshold / ATR Length - are used to establish difference between two levels being considered "equal high" or "equal low"
- Show Labels - define labels shown
- Show Side Labels - enables additional labels on the side of the chart
- Right Coordinate - how many bars to the right the side labels are displayed at
- Pivot Length - there are three different lengths to configure to cover large distance difference between two pivots
- Remove All Drawings After Sweep - when EQH or EQL levels are swept, the corresponding drawings are removed from memory
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Disclaimer
The content provided in this script is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. 指標
Liquidity Radar Engine [MarkitTick]💡 The financial markets operate on a continuous search for liquidity, moving dynamically from areas of consolidation to zones of unmitigated resting orders. This technical evaluation tool is engineered to objectively map these critical liquidity thresholds and provide a comprehensive framework for identifying high-probability market reversals and continuation phases. By tracking the exact interaction between historical pivot structures and real-time volume dynamics, it offers a highly systemic, algorithmic approach to charting price action.
✨ Originality and Utility
● A Synergistic Approach to Market Dynamics
Standard technical tools typically evaluate a single dimension of market data, such as momentum or trend direction, which frequently leads to fragmented analysis and false signals. This script stands out by synthesizing pure price structure, volume delta approximation, and multi-timeframe consensus into a unified visual environment. It removes the guesswork from order block and liquidity trading by mathematically defining structural shifts.
• Justification of the Integrated Logic
This tool is a deliberate fusion of price action concepts and mathematical volume filtering. Relying strictly on a breakout of a previous day's high or low can be highly susceptible to false moves and liquidity traps. By incorporating a relative volume (RVOL) filter and a proprietary candle-based delta estimation, the tool validates structural shifts with quantifiable market participation. Additionally, the inclusion of momentum divergence protocols ensures that price action is aligned with the anticipated structural pivot, filtering out low-probability setups in exhausted trends.
🔬 Methodology and Concepts
● Core Analytical Framework
The script operates by mapping significant price extremes across varying temporal horizons and evaluating the market's precise reaction when these zones are breached.
• Liquidity Sweep Detection
The algorithm constantly monitors the Highs and Lows of the Previous Day, Week, and Month. When current price action breaches one of these levels but fails to sustain the breakout—closing back inside the defined range—a sweep zone is generated. This defines a failed auction mechanism where stops may have been triggered without genuine directional follow-through from larger market participants.
• Equal Highs and Lows (EQH/EQL)
To identify resting liquidity pools, the script evaluates historical pivot points within an adjustable lookback window. Using the Average True Range (ATR) as a dynamic tolerance threshold, it mathematically defines whether two separate swing points are functionally "equal," marking them as magnetic targets for future price action.
• Structural Shifts and Displacement
Once a sweep occurs, the engine scans for a localized Change in State of Delivery (CISD). A valid shift requires displacement, which is measured by comparing the breakout candle's body size against a moving average of recent candle bodies, or by the immediate formation of a Fair Value Gap (FVG).
• Multi-Factor Validation
Signals are not generated strictly on price structure. They must pass a rigorous matrix of internal filters:
Relative Volume (RVOL): Requires the sweep or shift to occur with volume significantly exceeding the recent moving average.
Cumulative Volume Delta (CVD): Approximates buying and selling pressure within the candle spread to confirm directional momentum.
Trend Alignment: Evaluates the current price against a long-term Exponential Moving Average (EMA).
Volatility Squeeze Avoidance: Uses ATR ratios to actively block signals in exceptionally low-volatility environments.
Currency Correlation: Compares the traded pair against a reference index to ensure macroeconomic alignment.
News Blackout: Blocks all signals during user-defined, high-impact news windows to protect against erratic slippage.
🎨 Visual Guide
● Chart Elements and Topography
The visual interface is meticulously designed to present complex, multi-dimensional data without obfuscating the primary candlestick action.
• Historical Liquidity Levels
PDH/PDL Lines: Displayed as subtle, translucent lines indicating the Previous Day's High and Low.
PWH/PWL Lines: Denoting the Previous Week's extremes in distinct, moderately visible hues.
PMH/PML Lines: Marking the Previous Month's extremes for macro higher-timeframe context.
Equilibrium Line: A distinct midline drawn between the daily extremes to gauge intraday premium and discount pricing.
• Structural Zones and Markers
Sweep Zones: Highlighted boxes marking the exact area of a failed breakout. Buy-side sweeps appear in a muted green-toned box, while sell-side sweeps are marked in a red-toned box. These zones feature active aging, gently fading as time progresses.
FVG Clouds: Displayed as gold or yellow background areas denoting supply/demand imbalances.
EQH/EQL Markers: Small textual annotations above or below the price, bounded by a semi-transparent box, indicating concentrated liquidity pools.
• Execution and Management Visuals
Signal Labels: Distinct text markers indicating validated Buy or Sell conditions upon bar close.
Position Boxes: When a signal is active, a structured box appears showing the Entry level (dashed neutral line), Stop Loss (dashed red line), and up to three Take Profit targets (dashed teal lines).
Heatmap Candles: The main chart candles are dynamically colored based on the dominant daily bias or RSI momentum.
• The Multi-Timeframe (MTF) Dashboard
A tabular data panel positioned on the chart displays the trend and liquidity status across three distinct timeframes. It also features a comprehensive statistics section monitoring the active trading session, the current volatility regime, the count of unfilled fair value gaps, and the dynamic risk-to-reward ratio of any open simulated positions.
📖 How to Use
● Interpreting the Data
The primary workflow involves observing the direct interaction between price velocity and the mapped structural zones.
• Executing an Analysis
Wait for a visual Sweep Zone to form, indicating that a significant historical level has been tested and rejected by the market.
Observe the Signal Labels. A signal is only printed if the internal confluence engine—validating volume, delta, and structural displacement—has fully approved the setup.
If the FVG entry model is active, wait for price to retrace into the highlighted Fair Value Gap cloud before considering the setup valid for engagement.
• Trade Management
Utilize the plotted Position Boxes to evaluate the mathematical risk profile. The entry, stop loss, and targets are drawn directly on the chart for immediate visual feedback.
Monitor the MTF Dashboard to ensure the lower timeframe execution signal is not fighting a dominant higher timeframe trend.
If Dynamic Trade Management is enabled, closely observe the Stop Loss line as it automatically trails price based on the selected ATR, Swing, or Chandelier mathematical logic.
⚙️ Inputs and Settings
● Configuration Options
The script is heavily modular, allowing for extensive adjustment of its internal validation logic.
• General and Display Limits
Toggle the visibility of specific liquidity levels (Daily, Weekly, Monthly) and limit the maximum number of historical zones, FVG clouds, or signal boxes retained on the chart to maintain a highly optimized workspace.
• Validation Filters
Volume Validation: Adjust the Moving Average length and the RVOL threshold multiplier to define what constitutes a genuine volume climax.
Delta Filter: Toggle the requirement for estimated volume delta to perfectly align with the signal direction.
Divergence Source: Choose whether the script requires RSI, MACD, or a combination of both to display divergence before validating a reversal.
ADX Threshold: Define the strict minimum trend strength required for continuation signals.
• Target and Management Settings
Risk to Reward (R:R) Inputs: Define the exact mathematical multiples for Target 1, Target 2, and Target 3.
Position Sizing: Input an account balance and risk percentage to have the engine calculate the exact unit size for the plotted setup.
Trailing Logic: Select between None, ATR-based, Swing-based, or Chandelier-based trailing stops, complete with user-defined multiplier adjustments and partial profit scaling.
• Dashboard and Visual Preferences
Modify the specific timeframes monitored by the MTF panel, alter its position, and heavily customize the color palettes for all sweep zones, lines, heatmaps, and interface text.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Theoretical Foundations
The architecture of this script is grounded in several well-documented financial theories, primarily focusing on Auction Market Theory and the statistical modeling of price volatility distributions.
• Auction Market Theory and Liquidity
The core premise of the sweep detection logic rests securely on the concept of order matching and liquidity cascades. Markets move constantly to facilitate trade, frequently gravitating toward areas with a high density of resting stop orders, such as historical highs and lows. When these areas are breached but fail to attract aggressive participation, the auction process is deemed to have failed. This script mathematically quantifies these failed auctions by tracking the spatial relationship between the breakout wick and the closing price relative to the historical pivot.
• Statistical Variance and Normalization
The tool heavily utilizes the Average True Range (ATR) as a core normalization factor. Financial time series exhibit continuous heteroskedasticity, meaning volatility varies over time. Hardcoding a fixed point-value for concepts like "Equal Highs" or "Trailing Stops" is mathematically flawed. By utilizing ATR ratios, the algorithm rapidly adapts its spatial thresholds to the current standard deviation of price movement, ensuring highly consistent behavior across varying market regimes and asset classes.
• Momentum Divergence and Rate of Change
The inclusion of oscillators like the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) serves to measure the first and second derivatives of price—specifically velocity and acceleration. By actively requiring a divergence between price extremes and momentum extremes, the script effectively filters for environments where the kinetic energy of the prevailing trend is decaying, thereby increasing the statistical probability of a mean-reverting event or structural reversal.
• Volume Delta Approximation
While granular tick data is technically required for an exact volume delta calculation, the script employs a highly robust approximation algorithm that distributes volume proportionally across the candle's spread. This provides a quantifiable metric of localized supply and demand imbalances, adhering strictly to the Wyckoffian principle of Effort versus Result, ensuring that price moves are backed by actual transactional weight.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. 指標
GMS Ultimate IndicatorGMS Ultimate Indicator 9.0 is a customizable multi timeframe market structure and price action tool designed to help traders stay aligned with the dominant side of the market.
It analyzes the Daily, 4H, 1H, 15M, 5M, and 1M trends using HH/HL and LH/LL structure, while identifying pullbacks, consolidation, liquidity sweeps, BOS, CHOCH, protected structure, reaction zones, retests, and rejection candles. Its setup engine helps locate higher probability entries within the broader trend, with adjustable alerts, dashboard layouts, and display settings.
For analysis and educational purposes only. Use proper risk management and backtesting. 指標
GMS Ultimate IndicatorGMS Ultimate Indicator is a customizable multi timeframe market structure and price action tool designed to help traders stay aligned with the market’s direction. It tracks 4H, 1H, 15M, and 5M trend conditions, structure state, and price position relative to selected EMAs.
The indicator also identifies BOS, CHOCH, swing highs and lows, liquidity pools and sweeps, previous day/week levels, protected 1H structure, 4H reaction zones, retests, rejection candles, potential setups, targets, and alerts.
Built for scalpers, intraday traders, and swing traders who use market structure and price action. For analysis and educational purposes only. 指標
GMS Ultimate Structure + Price ActionGMS Ultimate Indicator is a customizable multi timeframe market structure and price action tool designed to help traders stay aligned with the dominant side of the market.
It analyzes the Daily, 4H, 1H, 15M, 5M, and 1M trends using HH/HL and LH/LL structure, while identifying pullbacks, consolidation, liquidity sweeps, BOS, CHOCH, protected structure, reaction zones, retests, and rejection candles. Its setup engine helps locate higher probability entries within the broader trend, with adjustable alerts, dashboard layouts, and display settings.
For analysis and educational purposes only. Use proper risk management and backtesting. 指標
Smart Money Concepts Liquidity Sweep, Order Block & FVGOVERVIEW
Every Smart Money indicator draws order blocks and tells you they work. This one scores them 0–100 and then forward-tests whether the score is actually true — on your instrument, on your timeframe.
It maps liquidity, detects stop-hunts, builds entry zones from the displacement that follows, confirms them with real order flow, and grades every zone that price returns to. Instead of "here is an order block, trust me", the panel tells you something like:
Tier-A zones returned +0.23R vs +0.08R for a matched control, n=61, t=2.1 — PROVEN
...or, just as usefully, NOT PROVEN. It is built to be able to tell you it doesn't work.
This is a research and framing tool. It is NOT a strategy, NOT a signal service, and NOT a validated edge.
WHY THESE PARTS ARE ONE TOOL (mashup rationale)
The Smart Money / ICT model is a SEQUENCE. Each step is meaningless on its own, and that is why they are combined here rather than sold as separate scripts:
1. LIQUIDITY POOLS — Stops cluster above equal highs (buy-side) and below equal lows (sell-side). Swing points within an ATR tolerance are clustered into a single pool; the more swings, the more stops resting there. A pool is not a signal. It is a magnet and a target.
2. THE SWEEP — Price wicks THROUGH the pool and closes back INSIDE it. That is a stop-hunt, and it is the only part of the sequence that reveals intent. A sweep alone is still not a trade.
3. DISPLACEMENT — An impulsive, ATR-normalised move away from the swept level. This is what separates a SWEEP (reversal) from a RUN (continuation).
4. THE ZONE — Displacement leaves footprints: a FAIR VALUE GAP (a three-bar imbalance) and an ORDER BLOCK (the last opposing candle before the impulse). Where an FVG sits INSIDE an order block, two independent structures agree — flagged as a confluence zone.
5. LOCATION — The zone is then judged on WHERE it sits. Against the VOLUME PROFILE (value area, point of control, and untested "naked" POCs), and against the DEALING-RANGE EQUILIBRIUM. A bullish zone in DISCOUNT is a zone you are being paid to buy; the same zone in premium is not.
6. ORDER FLOW — The question structure cannot answer: did anyone actually show up? Intrabar delta signs each lower-timeframe bar's volume by its own direction. A bullish zone born on NEGATIVE delta is a vacuum, not a footprint — and scores nothing for it.
7. THE ENTRY — Price is never chased. The engine arms only when price RETRACES into a fresh zone, then frames entry / stop / target — the target being THE NEXT OPPOSING POOL OF STOPS, because that is where the next batch of liquidity is resting.
8. THE CALIBRATION — Without it, everything above is folklore.
Remove any one of these and the tool marks noise, chases price, targets nothing, ignores where value actually is, or reports a confidence it has not earned.
THE SCORE (0–100, eight measurable components, no discretion)
Displacement strength ...... impulse body ÷ ATR — the energy behind the zone
Participation (RVOL) ....... volume at formation vs its own recent average
Born from a sweep .......... did a stop-hunt precede it? (the core ICT claim)
Imbalance size ............. FVG height ÷ ATR
HTF alignment .............. does the higher timeframe agree?
Premium / discount ......... bullish zone in DISCOUNT? bearish zone in PREMIUM?
Volume-profile location .... at value, at the POC, or at an untested POC?
Order flow (delta) ......... was the displacement backed by real aggressive flow?
Tiers: A (70+) · B (40–69) · C (below 40). Every weight is an input — if you think the sweep matters more than I do, turn it up, and let the calibration tell you whether you were right.
THE CALIBRATION — AND WHY IT IS HONEST
Every zone trade is paired with a MATCHED CONTROL: the same bar, the same direction, and the SAME R:R — but entered at market with an ATR stop instead of at the zone. This isolates exactly one variable: does entering AT THE ZONE beat entering anywhere else on identical geometry? Under a random walk, this control has zero expectancy, so anything the zones earn is real.
Each tier is tested against its OWN control, because an A-zone may carry a very different R:R from a C-zone, and a trade's hit rate depends on its R:R.
Results are reported as EXPECTANCY IN R, not hit rate. When R:R varies from trade to trade, a hit rate on its own is meaningless: a 6R winner at 20% is +0.4R (excellent), while a 1R winner at 55% is +0.1R (barely worth the commission).
A Welch t-test decides whether the difference is real or luck. The panel does not say "proven" unless t > 1.96.
The panel also answers the one question that matters most: DOES TIER A BEAT TIER C? If the scoring model has any value, A-grade zones must outperform C-grade zones. If they don't, the score is noise — and it will say so.
Conventions are deliberately chosen so the tool cannot flatter itself:
· Both barriers touched on the same bar → the STOP is assumed first.
· Expired trades are marked to market, not counted as wins or losses.
· Everything is logged and resolved on confirmed bars only.
HOW TO USE IT
1. Read the bias, the liquidity map, and the premium/discount shading. Pools above are buy-side, pools below are sell-side, and price usually travels from one to the other.
2. Wait for a SWEEP, then for a zone to be created by the displacement that follows.
3. Do NOT chase. The engine arms an entry only when price RETRACES into a fresh zone.
4. Watch for ABSORPTION at the zone — heavy volume, a small range, price holding. Someone is soaking up the aggression. That is a defended zone, and it is the best live confirmation available.
5. READ THE CALIBRATION BEFORE YOU WEIGHT ANY OF IT. If Tier A is not proven on your instrument and timeframe, a zone is a LOCATION, not a PROBABILITY — treat it as context only.
6. Entry / stop / target and the resulting R:R are drawn on the chart. They are arithmetic, not advice.
Do not tune the weights until the numbers turn green. That is curve-fitting, and the calibration exists to catch it — not to be defeated by it.
ORIGINALITY
The underlying SMC concepts are public and credited below. What is assembled here is the specific synthesis: an eight-component measurable score, the fusion of SMC structure with auction-theory location (volume profile and premium/discount), true intrabar order-flow confirmation, a per-tier matched control, expectancy-in-R reporting, and a significance test that can — and frequently does — return "not proven".
Clean-room implementation. No third-party Pine code is reused.
UNIVERSAL / DATA REQUIREMENTS
Works on any symbol and any timeframe — the engine is ATR-normalised throughout, so it adapts to the instrument rather than assuming point values.
Volume improves the score but is NOT required. On a symbol without real volume, the RVOL, volume-profile and order-flow components neutralise and the panel says so, rather than blanking or pretending.
Intrabar delta requires a timeframe strictly below the chart's. The script AUTO-MAPS this (1m→5s, 3m→15s, 5m→30s, 15m→1m, and so on) because if the intrabar timeframe equals the chart timeframe there is only ONE intrabar — the bar itself — and delta degenerates to ±100% on every bar. Where true intrabar data is unavailable, the script falls back to a close-location proxy AND LABELS IT AS A PROXY in the panel.
NON-REPAINTING
Pools, sweeps, displacement, zones, the volume profile, absorption and entries are ALL computed on confirmed bars only.
Swing points use ta.pivot* and are therefore known only AFTER their confirmation bars. This is why a liquidity pool appears a few bars after its swing. That delay is the honest cost of not repainting, and it is paid deliberately — a level that moves after the fact is worse than no level at all.
The higher-timeframe read uses lookahead_off with a live-bar offset. The calibration harness logs AND resolves on confirmed bars, so its statistics cannot inflate intrabar. Nothing here is drawn and then moved.
HONEST LIMITATIONS — PLEASE READ
Smart Money Concepts is a popular framework, not a proven one. That is precisely why this script measures it instead of asserting it.
The calibration figures are IN-SAMPLE, close-to-close, with NO costs or slippage, and they use overlapping windows. A proven in-sample edge is NOT a guarantee of out-of-sample results.
The rolling volume profile is an APPROXIMATION — each bar's volume is spread uniformly across the bins its range covers. It is not tick data.
Small samples are unreliable. A tier with a low "n" is provisional even if it looks good.
If the edge is near zero, negative, or unstable across timeframes, the honest conclusion is that this model carries no edge on that instrument. The tool is designed to be able to tell you that, and you should believe it when it does.
Nothing here predicts price.
CONCEPT CREDITS
Smart Money / ICT concepts — liquidity pools, stop-hunts, displacement, fair value gaps, order blocks, premium/discount and optimal trade entry — are public trading concepts popularised by Michael J. Huddleston (Inner Circle Trader) and the wider SMC community.
Market Profile, the point of control and the value area — J. Peter Steidlmayer and the CBOT.
Market structure theory — Charles Dow.
Average True Range — J. Welles Wilder.
Wilson score interval — Edwin B. Wilson.
Triple-barrier forward labelling — Marcos López de Prado.
Welch's t-test — B. L. Welch.
The zone-scoring model, the order-flow fusion, the per-tier matched control and the tier calibration are the author's own. Not affiliated with, nor endorsed by, any of the above.
DISCLAIMER
This is a research and educational tool only. It is NOT financial advice, NOT a recommendation, and offers NO guarantee of profitability or accuracy. Indicators describe past behaviour; they do not predict the future. Entry, stop and target output is arithmetic, not advice. Trading carries a risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability for any use of this script. 指標
