Ultimate SMC & Liquidity ToolkitUltimate SMC & Liquidity ToolkitDescription
The Ultimate SMC & Liquidity Toolkit is an all-in-one Pine Script v6 indicator designed for traders who utilize Smart Money Concepts (SMC) and Inner Circle Trader (ICT) methodologies.
Instead of cluttering your chart with five different indicators, this script combines the most essential price action and liquidity tools into a single, highly customizable script. Whether you are day trading indices or swinging forex, this toolkit dynamically tracks liquidity pools, structural shifts, and critical institutional price levels.
🌟 Key Features
Extending Fair Value Gaps (FVGs): Automatically detects Bullish and Bearish Fair Value Gaps. The script projects a horizontal shadow for each FVG until price fully mitigates (fills) the zone, leaving mitigated gaps on the chart as historical context.
Liquidity Sweeps: Identifies when price wicks through a recent fractal pivot (5-bar highs/lows) but fails to close beyond it, tagging it on the chart as a "Sweep". Excellent for spotting stop hunts and false breakouts.
Session Killzones: Highlights the Highs and Lows of the Asian (18:00–02:00), London (02:00–08:00), and New York (08:00–17:00) sessions.
Higher Timeframe (HTF) Levels: Automatically tracks and projects crucial HTF structural levels, including the Previous Day, Week, and Month Highs/Lows. It also tracks the Daily Open (DO) and Previous Day Close (PDC).
Auto Fibonacci Extensions: Automatically draws a Fibonacci sequence (0, 1, and the 1.618 extension) based on the most recent major swing high and swing low.
Clean Chart Dynamics: Labels and lines (using dotted styles) are coded to project slightly ahead of the current price action, deleting historical line trails to keep your screen completely free of clutter as time progresses.
⚙️ Full Customization Every trader’s eye is different. The settings menu includes a Feature Toggles section, allowing you to independently turn every single feature on or off. Additionally, all color settings use carefully selected transparency levels to ensure they look equally pristine on both Dark Mode and Light Mode backgrounds. インジケーター
Smart Money Concepts [AxeAlgo]Overview
- Smart Money Concepts is a clean, non-repainting indicator designed for traders who want to identify institutional market structure without clutter.
The indicator visualizes where smart money is likely to defend, attack, and accumulate positions by displaying order blocks, fair value gaps, liquidity pools, and premium/discount dealing ranges on your chart.
What It Shows
Market Structure (CHoCH and BOS)Identifies when the market changes direction (Change of Character) and when new directional commitment breaks prior structure (Break of Structure). Each signal confirms only after a specified number of bars, ensuring no repainting.
Order BlocksHighlights the price zones where the last aggressive institutional movement originated. These are areas where smart money entered positions and often acts as support or resistance on subsequent pullbacks.
Fair Value GapsDetects imbalances between candlesticks (gaps not filled by wicks). The indicator marks these zones because institutions often return to fill them as price moves away.
Liquidity PoolsAutomatically identifies clusters of equal highs and equal lows where retail traders typically set stop losses. The indicator marks when price breaks through these pools (institutional sweeps).
Premium and DiscountDisplays whether price is trading above (premium) or below (discount) the 50% equilibrium level between the most recent swing high and low. Extreme premium or discount often precedes reversals.
How to Use It
Enable individual components using the dashboard toggles: Show Structure, Show Order Blocks, Show Fair Value Gaps, Show Liquidity Pools, Show Premium/Discount.
Turn on the dashboard to see your current swing bias, internal structure direction, and range position at a glance.
Auto-Tune automatically scales all sensitivity parameters based on your chart timeframe. Turn it off if you prefer manual tuning.
Use Simple Mode to display only swing structure without internal noise for a cleaner chart.
Key Settings
Confirmation Bars: How many bars confirm a pivot before a structure signal fires. Higher values filter out false signals but add lag. Default is 2.
Min Displacement: The minimum price movement (in ATR multiples) required for a structure signal to register. Default is 1.0 ATR.
Zone Sizing: Controls the minimum and maximum height of order blocks and FVGs. Adjust to filter noise or capture smaller opportunities.
P/D Lookback: How many bars back to scan for the swing high and low that define your premium/discount range.
Dashboard Position and Size: Choose where the info table appears and how large you want it.
Colors: Customize bullish, bearish, and gap colors to match your chart theme.
What This Indicator Is For
Smart Money Concepts is intended for traders who want to visually identify institutional order flow patterns and understand where smart money accumulates and distributes. It helps you:
Spot areas where institutions likely accumulated or distributed (order blocks and FVGs)
Recognize when price is overextended and vulnerable to reversal (premium/discount extremes)
Distinguish real structural breaks from noise during choppy consolidation
Plan entries and stops around levels where smart money defends
How It Works
The indicator uses pivot-point analysis to identify swing highs and lows, then marks the price zones where directional movement originated (order blocks). Fair value gaps are detected using standard three-candle imbalance logic. Liquidity pools are identified by clustering equal price levels within a configurable tolerance.
All signals confirm only on closed bars. Zones never repaint, but they shrink or change state as price action develops.
Limitations
The indicator shows 5 active zones at a time to keep your chart clean. If multiple institutional structures are forming simultaneously, older zones will age out. This is by design to prioritize the most recent price action.
This indicator identifies structural levels and patterns. It does not predict price direction or guaranteed support/resistance. Use it as one component of a complete trading plan, not as a standalone signal.
Fair value gaps and order blocks are useful but not infallible. Price may skip through them or reverse before reaching them.
Important Disclaimer
This indicator is for educational and analytical purposes only. It does not provide financial advice, and past performance does not guarantee future results. Trading involves risk of loss. Always use proper risk management, stop losses, and position sizing. Never risk more than you can afford to lose.
The accuracy and effectiveness of this indicator depends on your market conditions, timeframe, and trading methodology. Results vary by trader and asset class.
インジケーター
Mbedaiwi - Market Structure and Price Action mbedaiwi - Market Structure & Price Action
Overview
This Pine Script v6 overlay brings market structure, liquidity events, order blocks, volume estimates, price imbalances, and chart-pattern candidates into one configurable workspace. It helps users examine where price has broken structure, where earlier zones remain active, and how several observations align on the same chart.
The indicator is intended for discretionary analysis and chart study. It is not an automated execution system or a backtested TradingView strategy.
Purpose and benefits
Compare short-term internal structure with broader swing structure.
Organize potential reaction areas using order blocks, imbalances, liquidity levels, and range bands.
Compare the volume associated with visible order blocks through an overlay or a separate right-side display.
Select the modules and labels needed for a particular workflow, reducing chart clutter.
Use alerts to monitor defined events without continuously watching the chart.
The integration follows a practical sequence: establish structure, locate relevant areas, observe price interaction, and optionally evaluate a rule-based setup. The components provide context for one another; agreement between them does not establish a probability of success.
1. Market structure
Internal and swing structure can be configured separately. The script supports SMC leg-transition detection and symmetric pivot detection, with adjustable lengths.
BOS: a break classified as continuation of the current structural direction.
CHoCH: a break against the previous structural direction.
CHoCH+: a CHoCH supported by an intervening higher low for a bullish change, or lower high for a bearish change, under this script's pivot and sequence rules.
HH, HL, LH, and LL: higher highs, higher lows, lower highs, and lower lows.
Strong/Weak High-Low: structural classifications based on the current directional state, not forecasts of whether a level will hold.
Each structure selector offers All, BOS, CHoCH (All), CHoCH, CHoCH+, and None. CHoCH (All) includes both ordinary and supported changes; CHoCH and CHoCH+ select their respective classifications. The separate Show BOS and Show CHoCH switches also affect visibility.
Historical and Present display modes, candle coloring, label sizes, and colored or monochrome themes provide additional control.
2. Order blocks and volume display
The script includes independent swing-break, volume-pivot, and legacy structure-break order-block engines. Available controls include zone boundaries, mitigation rules, retained-zone counts, overlap suppression, midlines, and breaker display.
Volume information can appear on the price-chart overlay, in a right-side chart, or in both locations. Users can choose the volume accumulation interval, including the interval between a broken pivot and its break, an origin window, or an origin-based interval.
How to read the volume numbers
The displayed volume belongs to the selected calculation interval. The percentage is that block's share of the summed volume of currently displayed non-breaker blocks. Changing visible blocks, filters, or retention settings can therefore change the percentages. They are not win rates or percentages of the instrument's entire trading volume.
Internal buy/sell activity is an OHLCV-based estimate. Close-location mode allocates volume according to the close's position within each candle's range; candle-direction mode allocates it according to candle direction. These estimates do not measure actual bid/ask transactions, institutional orders, or order-book liquidity. Volume-dependent outputs rely on the data supplied for the symbol.
3. Liquidity tools
Equal Highs and Equal Lows use an adjustable ATR-based tolerance. Liquidity Grabs identify excursions beyond tracked levels followed by a return inside those levels, subject to the detection rules.
Grabs are displayed as hollow frames around the relevant candle wick: blue for bullish lower-wick grabs and red for bearish upper-wick grabs by default. Optional text can be enabled. Detection sensitivity and retained history are adjustable.
Live previews can change or disappear before the candle closes. Liquidity Grab alerts require a confirmed bar. Separate trendline tools and trendline-break alerts are also available.
4. Price imbalances
The imbalance selector displays one of five types:
FVG: a three-candle gap between the first and third candles' price ranges.
Inverse FVG: a tracked FVG that is breached and reclassified in the opposite direction.
Double FVG: an overlapping area between a new FVG and a tracked opposite-direction FVG.
Volume Imbalance: a gap between adjacent candle bodies while their wick ranges overlap. Despite the name, this detection is price-based.
Opening Gap: a gap between adjacent candle ranges.
Controls include source timeframe, volatility threshold, extension, mitigation method, and maximum retained zones. The imbalance timeframe must be the chart timeframe or higher. Higher-timeframe imbalance detection uses completed source candles, so it becomes available after source-bar confirmation.
To hide only the FVG/type text while retaining the shaded zones, disable Show Imbalance Type on Zones. Re-enable it at any time from Inputs.
5. Premium, equilibrium, and discount
Optional bands divide a selected Swing, Internal, or Impulse range into upper, middle, and lower reference areas. Band width and colors are adjustable. These areas describe relative position within the selected range; they do not measure fundamental fair value or guarantee a reversal.
6. Chart-pattern candidates
The pattern module classifies recent pivot geometry and can display pattern boundaries, shaded zones, and a Detected Pattern table. Candidate types include triangles, wedges, broadening wedges, double tops/bottoms, and head-and-shoulders formations.
Pattern drawings are separate from the trendline module. Detection depends on pivot length, available history, and tolerance settings. In this release, a displayed pattern can remain after price has moved outside its boundaries until the detection state updates. Treat the pattern name as a geometric candidate, not confirmation that a formation remains valid or that a breakout will succeed.
7. Additional context and optional setup planning
Optional Fibonacci retracements, an OTE region, extension levels, and previous daily/weekly/monthly/quarterly highs and lows provide additional reference points.
The optional setup layer combines structural events with configurable checks such as liquidity sweeps, order-block or imbalance interaction, displacement, higher-timeframe direction, EMA alignment, volume, and RSI. Score and Strict modes control how these conditions are evaluated.
When enabled, the trade layer can display a hypothetical entry, stop, and up to three targets using configurable zone, structure, ATR, or risk-multiple methods. These are rule-based planning levels, not executed orders or verified performance results. The default mbedaiwi profile suppresses the trade layer.
How to use
Add the indicator to a standard candlestick chart and choose an analysis profile. The default mbedaiwi profile uses internal length 5, swing length 50, and close-based structural breaks. Select Custom or enable Override profile lengths when you want the manual lengths to take effect.
Choose the internal and swing events you want to see. Start with structure and a small number of zones before enabling additional modules.
Enable order-block metrics if you want volume comparisons. Select the accumulation method and overlay/side-chart layout appropriate for your analysis.
Enable Liquidity Grabs and select detection sensitivity. Distinguish a live preview from a completed event.
Choose an imbalance type and its mitigation method. Add premium/discount bands or prior-period levels if they help define context.
Enable Patterns only when studying pivot-based formations, and check the actual candles against the displayed boundaries.
Use Clean chart mode, individual visibility switches, label sizes, and zone-count controls to manage clutter. The Show tables switch controls on-chart tables.
If using the optional setup layer, choose a compatible profile, review all filters and risk settings, and evaluate its behavior before relying on the planning levels.
Reading entries, stops, targets, and exits
Use the indicator as a sequence of observations: structural direction, an area to monitor, confirmation, and a predefined risk/target plan. A BOS, CHoCH, or Liquidity Grab on its own is not an automatic instruction to buy or sell.
Step 1 - Read the structural context
Start with Swing Structure for the broader context, then use Internal Structure to examine shorter movements. Higher highs and higher lows describe an upward structure; lower highs and lower lows describe a downward structure. A bullish BOS is classified as continuation, while a bullish CHoCH marks a potential change from the preceding bearish structure. CHoCH+ adds the script's supporting pivot-sequence condition; it does not guarantee a reversal.
An internal bullish change can occur while swing structure remains bearish. Always identify which structure level produced the label. Pivot confirmations can arrive after the turning point and be drawn back at the earlier pivot bar.
Step 2 - Identify an area to monitor
A bullish order block, bullish FVG, discount band, previous low, or Equal Lows can provide a reference area for studying a possible bullish reaction. Price entering an area only establishes an interaction; it does not confirm that a rebound has started. Order-block volume percentages are calculated volume shares, not probabilities that the area will hold.
Step 3 - Observe confirmation
The following is an illustrative manual reading sequence, not the mandatory algorithm behind every setup generated by the script:
Price reaches a previously identified reference area.
Price moves below a tracked low and closes back above it, producing a confirmed bullish Liquidity Grab if the detection conditions are met.
Price subsequently breaks an internal structural level upward, producing a bullish CHoCH or CHoCH+ under the script's rules.
The user evaluates the completed confirmation candle or a later retest of the broken level, together with the broader structure and the planned invalidation level.
A retest may never occur, and confirmation can still fail. Do not assume that a marker anchored to an earlier candle was available in real time on that candle.
Step 4 - Understand the optional planning layer
The planning layer displays hypothetical levels when its setup conditions are satisfied:
Entry method: Market, Fibonacci, or Zone determines the entry-reference calculation.
Stop method: Structure, ATR, or Zone determines the stop-reference calculation. The selected invalidation level defines where the planned idea no longer applies.
Target method: Risk multiple, Smart money, or Hybrid determines how target references are calculated.
TP1, TP2, and TP3: up to three target references, according to the selected method.
Move stop to breakeven after TP1: updates the hypothetical stop to the entry reference after the first-target condition is met.
These are chart calculations. They do not send orders to a broker, establish actual fills, or move a real stop order.
To make this layer available, choose a profile such as Custom, enable Show trade layer (entry / SL / TP), and disable Structure only. The default mbedaiwi profile suppresses the trade layer. Enabling the display does not guarantee that levels appear immediately: the selected signal conditions and filters must also be satisfied.
Step 5 - Read risk multiples: a numerical example
Consider a hypothetical entry at 100 and a stop at 98. The distance between them is 2 per share, so 1R equals 2. In Risk multiple target mode:
Entry reference: 100.
Stop reference: 98.
1R target: 102.
2R target: 104.
3R target: 106.
This example explains arithmetic only. It is not a trade recommendation, a prediction, or a result produced by a backtest. It excludes fees and slippage. A real fill can differ from the plotted reference, and an actual exit can differ from the stop price. If the hypothetical breakeven option is enabled, a qualifying TP1 event changes the plotted stop reference to 100; this does not guarantee a cost-free exit in actual trading.
Step 6 - Interpret exits and changes in structure
A TP reached alert means that the script's target condition has been met. A Stop-loss reached alert means that its stop condition has been met. Neither confirms that a broker executed an order.
A bearish CHoCH during an upward move provides information about a structural change. It does not automatically mean that the planning layer closed a position, nor that every internal change requires the same response. Target exits, invalidation exits, and any discretionary response to opposing structure should be defined before acting on a setup. The script does not automatically carry out partial sales or discretionary exits described by a user's plan.
Manual analysis versus calculated setups
The manual sequence above explains how the visual components can be read together. The optional planning layer instead evaluates its configured rules, filters, and calculation methods. It does not necessarily require that exact sequence. Neither workflow supplies verified profitability or guarantees that a displayed setup will succeed.
Alerts
Available conditions cover internal and swing BOS/CHoCH/CHoCH+, liquidity grabs and sweeps, equal highs/lows, imbalance formation, zone interactions, order-block breaks, trendline breaks, detected patterns, and optional setup/target/stop events.
Select this indicator in TradingView's Create Alert dialog, then choose the event. Use Once Per Bar Close when you want close-confirmed notifications. General CHoCH alerts also include supported changes; separate CHoCH+ conditions are available. Some touch conditions can remain true across consecutive bars, so they should not be interpreted as one notification per zone for its entire lifetime.
Timing, historical drawings, and limitations
Pivot-based features require later bars to confirm earlier turning points. Labels and zones may be anchored back to those earlier bars, although the information was not available at that time.
Live candles and enabled previews can change before close. This indicator is not presented as universally non-repainting.
Zone removal depends on mitigation, age, overlap, and retention settings. Older drawings can disappear as new observations replace them.
Results depend on the symbol, timeframe, session, available history, and settings. Different indicators can use different definitions and produce different results.
The confluence score is a rule-based score, not a calibrated probability. Volume percentages and Strong/Weak labels are not measures of signal accuracy.
The planning layer does not provide a broker execution model, Strategy Tester results, or verified profitability. No accuracy, return, or future-performance claim is made.
Source acknowledgment
The hierarchical pivot-detection logic used in the Liquidity Grabs module is adapted from LuxAlgo's open-source "Pure Price Action Liquidity Sweeps", licensed under CC BY-NC-SA 4.0. Modifications include wick-frame rendering, display controls, and alert handling. Credit for the adapted source logic belongs to LuxAlgo.
This acknowledgment concerns the identified open-source component and does not imply access to LuxAlgo's closed-source Price Action Concepts indicator. This publication is not affiliated with or endorsed by LuxAlgo.
Intended use
For educational chart analysis and discretionary decision support. Users remain responsible for validating the settings, interpreting signals, and managing risk. No displayed zone, pattern, or setup guarantees a particular market outcome.
インジケーター
インジケーター
SMC EngineSMC Engine
Overview
SMC Engine is a market-context indicator designed to identify potential liquidity sweeps and directional pressure around a selected session range.
The indicator combines an open-based NY range, candle spread analysis, and lower-timeframe volume pressure to classify market conditions such as Stop Hunts, directional aggression, and breakouts.
The default session is 09:30–10:30 New York time, but the session and timezone can be adjusted from the settings.
Key Features
Open-based NY session range
Automatic range box visualization
Projected range levels after the session
Candle spread anomaly detection
Lower-timeframe volume pressure
Stop Hunt High detection
Stop Hunt Low detection
Bullish Aggression detection
Bearish Aggression detection
Breakout Up/Down classification
Real-time sentiment dashboard
How It Works
1. Open-Based NY Range
During the selected session, the indicator tracks the highest and lowest candle opening prices.
These levels form the open-based range used by the sentiment engine.
Note: This is an open-based range, not a conventional opening range calculated from candle highs and lows.
2. Spread Analysis
The indicator compares the current candle's spread (High - Low) with its average spread over the selected baseline period.
Default settings:
Spread Baseline: 50 bars
Spread Anomaly Multiplier: 2.0
When the current spread exceeds the baseline multiplied by the anomaly multiplier, it is classified as a spread anomaly.
3. Volume Pressure
The indicator uses lower-timeframe candle data to estimate directional volume pressure.
Lower-timeframe close > open → volume is counted as positive
Lower-timeframe close < open → volume is counted as negative
Lower-timeframe close = open → volume is ignored
The resulting value is used as a volume-pressure proxy.
This is not true bid/ask volume delta.
Sentiment Conditions
Stop Hunt High
A Stop Hunt High is identified when:
The candle has an unusually large spread
Price trades above the open-based range high
The candle closes back at or below that level
Lower-timeframe volume pressure is negative
The signal is displayed with an orange downward triangle.
This can be viewed as a potential bearish liquidity-sweep setup.
Stop Hunt Low
A Stop Hunt Low is identified when:
The candle has an unusually large spread
Price trades below the open-based range low
The candle closes back at or above that level
Lower-timeframe volume pressure is positive
The signal is displayed with an orange upward triangle.
This can be viewed as a potential bullish liquidity-sweep setup.
Bullish / Bearish Aggression
When a spread anomaly occurs without meeting the Stop Hunt conditions, the indicator evaluates candle direction and volume pressure to identify:
Bullish Aggression
Bearish Aggression
Air Pocket/Uncertain
Breakouts
When the spread is not classified as an anomaly, the indicator can identify:
Breakout Up
Breakout Down
These classifications are based on price closing beyond the open-based range together with corresponding volume pressure.
How to Use It
The indicator is primarily intended as a market-context and confirmation tool, rather than a standalone buy/sell system
A simple way to use the Stop Hunt signals is:
Bullish Setup
Stop Hunt Low → wait for confirmation → consider long
When an orange Stop Hunt Low appears, avoid entering immediately. Observe the following price action and look for bullish confirmation before considering a long trade.
Bearish Setup
Stop Hunt High → wait for confirmation → consider short
When an orange Stop Hunt High appears, avoid entering immediately. Observe the following price action and look for bearish confirmation before considering a short trade.
The Stop Hunt signal should therefore be treated as a setup/area of interest, not an automatic entry signal.
Traders can combine the signal with their own market structure, price action, risk management, and higher-timeframe analysis.
Dashboard
The dashboard displays:
VSA Price Spread — current candle spread in ticks
Baseline Spread — average spread used for anomaly detection
Volume Pressure — calculated lower-timeframe directional volume pressure
Current Sentiment — current classification produced by the engine
Recommended Usage
The default configuration is designed around using a lower timeframe for volume-pressure analysis, such as a 1-minute lower timeframe on a 5-minute chart.
The appropriate settings can vary by market, symbol, and timeframe, so traders should test the indicator under the conditions in which they intend to use it.
Important Limitations
The range is based on candle opens, not highs and lows.
Volume Pressure is a directional-volume proxy and should not be interpreted as true bid/ask delta.
A Stop Hunt signal does not guarantee a reversal or profitable trade.
Breakout classifications do not guarantee that a breakout will continue.
The indicator does not determine stop-loss placement, take-profit levels, or position sizing.
Market conditions, liquidity, and data-feed characteristics can affect the behavior of lower-timeframe calculations.
Traders should independently test and validate the indicator before using it in live trading.
SMC Engine is intended for market analysis and educational purposes and should be used together with appropriate risk management. インジケーター
Fair Value Gap (FVG) Statistics with Placebo Control█ OVERVIEW
On the same instrument, measured against a 50% baseline, fair value gaps looked significantly profitable in one period and significantly unprofitable in another. Both readings were artifacts of a baseline that was never 50%.
This indicator measures what actually happens after price returns to a gap, then compares the result against fake, or placebo, zones of the same size placed at bars where no gap occurred. Because a hit rate tells you nothing until you know what a meaningless zone scores on the same chart.
The following description consists of two parts. Part 1 is written in plain English and covers everything most readers need. Part 2 contains the full methodology and results for anyone who wants to examine the numbers in detail.
═══════════════════════════════════════
PART 1 — WHAT THIS IS AND WHY
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█ THE PROBLEM
Zone-based tools are everywhere: fair value gaps, order blocks, breakers, imbalances. Yet almost none of them tell you how often a zone actually led anywhere. And when a number is quoted, it is often built on one of three flawed foundations.
1. The zone is counted before it could have been known.
This problem is easiest to see with order blocks. An order block is commonly defined as the last opposite candle before a move that breaks structure. That means the block cannot be identified until the structure break occurs, often several bars later. Yet it is drawn back on the earlier candle as though it had been known at the time.
Any hit rate measured from that earlier candle therefore counts a zone that nobody could actually have traded.
Fair value gaps suffer less from this problem because their three-bar pattern completes quickly, but the same principle applies: a zone becomes active only when it becomes knowable, and nothing before that bar should be counted.
2. Failed zones disappear.
Many tools remove a zone from the chart once price has passed through it. That makes sense for keeping a chart clean. It is disastrous for statistics, because the zones being removed are disproportionately the ones that failed.
Count only what remains on the chart and you are counting the survivors.
3. The hit rate is compared with 50%.
This is the most important problem, and it is extremely common.
The reasoning seems straightforward: if the target and stop are equally far from the entry, then no edge should mean a 50/50 outcome.
But a rule that enters when price reaches a level inherits a baseline from the way price moves. That baseline is not necessarily 50%. It changes with the instrument, direction, and market conditions. Across the three markets tested here, it ranged from roughly 45% to 55%.
A hit rate by itself therefore tells you very little.
What matters is how the same measurement performs on zones that have no informational meaning at all.
█ WHAT THIS INDICATOR DOES
For every real fair value gap the indicator identifies, it also generates placebo zones of the same height, direction, and distance from price, anchored at bars where no fair value gap occurred.
Real and placebo zones are then measured by exactly the same rules.
The difference between them — real minus placebo — is the result that matters.
If real gaps perform like the placebo zones, then the pattern is not adding anything, regardless of how attractive the raw hit rate may look.
The placebo comparison does not ask whether fair value gaps win more than 50% of the time.
It asks a harder question:
Do fair value gaps perform better than comparable zones that carry no fair value gap information at all?
█ HOW THE COMPARISON IS KEPT FAIR
Statistical libraries for Pine already exist, and many indicators will draw fair value gaps. What is not otherwise available is a matched control built into the measurement itself, so that every figure the indicator reports arrives together with the baseline it should be judged against.
Three design choices make that possible, and they only work together.
A matched placebo control. Each placebo zone has the same height, the same direction, and the same distance from price as the real zone it is meant to compare with. Both are scored by identical rules.
Confirmation-honest timing. A zone enters the sample only when it becomes knowable, never earlier. Every confirmed zone remains in the sample from that point onward, including zones that fail immediately.
Bias controls that are reported rather than hidden. Cases that are genuinely difficult to score — such as bars that touch both exits and trades that never resolve — are counted and displayed for real and placebo zones side by side. Ambiguous cases are treated conservatively rather than silently discarded.
The combination matters. A matched control is useful only if both sides are measured under the same timing and scoring rules.
█ WHAT THE TESTS FOUND
Across three asset classes, three timeframes, and two separate periods — fourteen measurements in total — fair value gaps showed no detectable advantage over size-matched zones placed at meaningless bars.
The difference remained below about one percentage point of hit rate, and none of the fourteen individual measurements reached conventional statistical significance.
That is a bound on what was observed, not a claim that the true effect is exactly zero.
A different market or a different period could produce a different result. That is precisely why the comparison is built into the tool rather than left as an assumption or a footnote.
The broader conclusion is more useful:
A hit rate quoted without its baseline does not tell you whether something works. On the same instrument, measured against 50%, this pattern looked significantly profitable in one period and significantly unprofitable in another. Both readings were created by the baseline, not by the gaps.
That lesson applies to zone-based tools generally, not only to fair value gaps.
If you take one thing from this script, take that.
█ HOW IT WAS TESTED
A single result on a single chart is easy to produce and easy to overinterpret. Before publication, the same measurement was therefore repeated while changing one assumption at a time.
Three asset classes — crypto, currencies, and equity index futures
Three timeframes — 5 minutes, 30 minutes, and 1 hour
Two separate, non-overlapping time periods
Three different target and stop distances
Two different limits on how long a trade could remain open
Each of these choices is partly arbitrary. If a finding appears only under one particular setting, it may belong to the setting rather than to the market.
Fourteen separate measurements were made in total.
Two standard statistical tools are used. A confidence interval shows the range in which the underlying value plausibly lies, which is more informative than a single headline estimate. Results from independent markets are also combined so that their evidence can be considered together rather than one chart at a time.
The measurement procedure was additionally checked against artificial data for which the correct answer was known in advance. This allowed the method itself to be tested independently of any market result.
█ HOW TO READ AND USE THE INDICATOR
Add the indicator to any chart. It works on any symbol and any timeframe and needs no configuration to produce a result.
The panel
By default, the panel shows a compact view: the number of zones found, the number revisited by price, the hit rate with its confidence interval, the placebo baseline, and the difference between real and placebo.
Turn off Compact panel for the full breakdown: wins, losses, unresolved cases, the direction split, and side-by-side rates for the cases that are hardest to score.
Everything used to produce the headline result is available for inspection.
Reading the result
Check the sample size first. Below roughly 1000 resolved zones, the confidence interval is usually too wide to conclude much. Recognizing that the sample is inconclusive is a valid result, not a failure of the indicator. Lower timeframes and longer histories both increase the sample.
Then read real − placebo . That is the headline result.
A positive number means the gaps outperformed the placebo zones. A negative number means they underperformed them.
The z-score beside it indicates how far the observed difference sits from what chance alone can produce. As a rough guide, an absolute z-score below 2 is not conventionally distinguishable from noise.
The raw hit rate is shown for context, not as the answer. Judging the pattern from that number alone is the mistake this indicator is designed to expose.
Setting up a measurement
To measure a specific period, turn on Limit to date range and set the dates.
The panel reports the sample actually achieved. This can be shorter than the requested period if the chart has not loaded enough historical data, so scroll left when necessary to load more history.
To check whether a result depends on your choice of exits, change Barrier size and run the measurement again. A finding that appears only at one setting may belong to the setting rather than to the pattern.
As a chart indicator
Zones are drawn as they form and can also be used in the usual visual way.
A zone that price has not yet returned to is drawn solid and continues extending to the right while it remains open.
When price reaches the zone, the box stops extending and fades to a dotted outline. The width of a completed box therefore shows how long that gap survived before price returned to it, while the chart makes it easy to see which zones remain active.
Turning off Draw real zones leaves only the statistics panel.
█ SETTINGS
Measurement — Risk unit selects whether exit distance scales with ATR or with the zone's own height. Barrier size sets that distance. Time limit controls how many bars a trade may remain open before being recorded as unresolved.
Entry price and Evaluate exits on the entry bar provide alternative scoring conventions so their effect can be measured rather than assumed. Both are labeled where they introduce a known bias.
Minimum zone height filters out small gaps. Exclude overlapping zones and Overlap lookback prevent several gaps created by the same move from being treated as independent observations.
Sample — restricts the measurement to a date range, entered as year, month, and day so the sample remains reproducible.
Placebo control — Placebos per zone sets how many comparison zones each real zone generates; more placebos produce a tighter estimate of the baseline. Placebo offset controls how far from the original bar the comparison zones are anchored.
Validation — replaces market price with a random walk so the measurement can be checked against data whose correct answer is known in advance rather than only against real markets.
Display — Compact panel shows the headline rows only; turning it off reveals the full breakdown. Draw real zones toggles the boxes on the chart.
═══════════════════════════════════════
PART 2 — DETAILED ANALYSIS
═══════════════════════════════════════
█ HOW A ZONE IS SCORED
A gap becomes active on the bar after its three-bar pattern closes. From that point onward, every confirmed zone remains in the sample, including zones that fail immediately.
When price returns to a zone, the entry is recorded at that bar's close , not at the zone edge.
This matters more than it may appear.
A touch condition means that price reached or passed the edge, so the bar may have overshot it by an unknown amount. Assuming a fill at the edge while beginning the measurement only from the following bar would start the trade from an artificial price and can systematically distort the result.
Two exits are then placed at equal distances on either side of the entry. Because the exits are symmetric, real and placebo zones can be compared directly.
If one bar touches both exits, its open, high, low, and close do not reveal which level was reached first. Those cases are shown separately and counted as losses, making the published result the conservative one.
Zones that reach neither exit within the time limit are excluded from the hit-rate calculation. They did not resolve, so they provide no evidence for either outcome.
█ RESULTS
Results below use the following settings. The sample ends 1 August 2026.
SETTING VALUE
Risk unit (R) ATR(14) at confirmation
Barrier 2.0 R each side
Time limit 100 bars after entry
Entry close of the touch bar
Overlapping zones excluded
Placebos per zone 3
Three markets, 30-minute charts, 2025-01-01 to 2026-08-01:
INSTRUMENT RAW NAIVE z PLACEBO REAL-PLAC
BTCUSDT 49.5% -0.67 49.0% +0.5
EURUSD 51.4% +1.65 51.7% -0.2
ES1! 49.2% -0.92 49.9% -0.7
POOLED -0.04
The panel on the chart above is not restricted to that fixed window — it runs to the most recent bar — so its figures differ slightly from the table. That is expected: it is a different sample, not a different result.
Read the raw column alone and the markets appear different: 49.5% for crypto versus 51.4% for currencies, a spread of 1.9 percentage points.
Now look at the placebo column. Its spread is 2.7 points.
The apparent difference between markets is therefore better explained by the baseline than by the fair value gaps themselves.
One example makes the problem especially clear:
BTCUSDT, 1 hour, calendar year 2024
Raw hit rate 54.0% (n = 1390)
Naive z vs 50% +2.95 "significant"
Placebo baseline 51.5%
Real minus placebo +2.5% z 1.49, not sig.
Against an assumed 50% baseline, a 54% hit rate gives a p-value near 0.003 — exactly the kind of number that can look compelling when published in isolation.
Against its observed control baseline, however, the evidence is not statistically significant.
The same indicator, on the same instrument, over a different period and with a tighter target, produced a raw hit rate of 48.4% with a z-score of -2.25 — apparently significant in the opposite direction.
Both apparent conclusions arise from comparing with an assumed 50% baseline rather than the observed control baseline.
█ ROBUSTNESS
DIMENSION TESTED RESULT
Barrier size 1R / 2R / 3R no change
Time limit 50 / 100 bars no change
Asset class crypto / FX / index no change
Timeframe 5m / 30m / 1h no change
Period 2024 / 2025-26 no change
Across fourteen separate estimates of real minus placebo, the largest result was 1.49 standard errors from zero.
With fourteen estimates, even if the true effect were zero, the largest absolute result would be expected to reach roughly 1.9 standard errors by chance alone.
Pooled across three independent markets, the estimate was -0.04 percentage points, with a 95% interval of approximately -1.2 to +1.1 points.
█ LIMITATIONS
One symbol and one timeframe can be analyzed per chart. Pine cannot pool results across markets, so each chart represents one sample rather than proof by itself. The pooled figures reported above were combined separately.
Trading costs are not included. Entries assume execution at the bar close with no spread, commission, or slippage. Real-world trading costs would make absolute performance worse.
Ambiguous bars are counted as losses. This lowers both real and placebo hit rates by roughly the ambiguous-case rate and therefore tends to cancel when the difference between them is calculated.
The bull and bear rows should not be interpreted independently in a trending market.
The placebo control matches zone size, direction, and distance from price, but it cannot match the fact that a real gap forms immediately after a strong move in the same direction.
For example, in an uptrend, a fake bearish zone is more likely to be run over by the prevailing trend, whereas a real bearish gap can only form after an actual downward move. These effects work in opposite directions and largely cancel in the combined result.
For that reason, the total should be treated as the primary statistic rather than the directional split.
This limitation was identified during testing and is the main known weakness of the methodology.
Finally, all results come from a sample. Another market or another period may produce a different estimate. That uncertainty is the reason the placebo comparison is built into the indicator rather than assumed away.
█ METHOD AND PRIOR WORK
None of the statistics here are new, and it is worth being clear about that.
Assigning a treatment to units or moments where it did not actually occur, then checking that no effect appears, is a standard falsification test in causal inference, where it is usually called a placebo test. The placebo zones in this indicator are that idea applied to bars instead of subjects.
The trading application is not new either. David Aronson's Evidence-Based Technical Analysis (2006) argues that a rule should be judged against the returns of random entry signals rather than against zero, and uses Monte Carlo permutation and White's Reality Check to do it.
The scoring rule — a target, a stop, and a time limit, whichever is reached first — is the triple-barrier method described by Marcos López de Prado.
What this script adds is not the method but its availability. The control is generated and scored automatically alongside the real zones, on any chart and any symbol, so the baseline arrives together with the number instead of requiring a separate study that most people will never run.
█ OPEN SOURCE
The source is open. Every figure above can be reproduced — or shown to be wrong — by anyone who wants to check it.
Order blocks are next, measured by the same rule: from the bar that breaks structure, not from the earlier candle on which the block is drawn.
インジケーター
MSH - Demand & Supply Zones Pro### Overview
The Demand and Supply Zones Pro indicator automatically identifies, plots, and tracks institutional market structure imbalance zones on your chart. Based on core Extended Market Structure (EMS) price action principles, it highlights areas where institutional supply or demand imbalances cause rapid price movements.
### Features & Methodology
1. Zone Identification Logic:
The indicator evaluates individual candlestick body-to-range ratios to classify candle types into:
- Base Candles: Consolidation or low-volatility bars where body size is ≤ 50% of total candle range.
- Leg-In / Leg-Out Candles: High-momentum, strong-body expansion candles.
2. Pattern Classifications (RBR, DBR, RBD, DBD):
- Demand Zones: Rally-Base-Rally (RBR) and Drop-Base-Rally (DBR).
- Supply Zones: Rally-Base-Drop (RBD) and Drop-Base-Drop (DBD).
3. Dynamic Zone Tracking & Boundaries:
- Proximal Line: Plotted at the top/bottom boundary of the base body for entry reference.
- Distal Line: Plotted at the extreme high/low wick of the base for stop-loss and risk reference.
- Dynamic Extensions & Violation Cleanup: Active zones extend automatically to current price action and are automatically removed once invalidating price breaks occur.
4. Trend & Moving Average Overlays:
- Includes integrated Rapid (EMA 7) and Fast (EMA 21) Exponential Moving Averages to quickly assess short-term momentum and trend alignment alongside zone levels.
### How to Use
- Looking for Demand Trades (Long): Seek long setups when price revisits active Green/Demand zones, especially when aligned with short-term EMA momentum.
- Looking for Supply Trades (Short): Seek short setups when price approaches active Red/Supply zones.
- Risk Management: Use the Distal boundary of the zone as a structural stop-loss level.
### Settings & Customization
- Candle Rules: Adjust body percentage thresholds for Base, Leg-In, and Leg-Out candles to match different asset classes (Equities, Forex, Crypto, Futures).
- Display Limits: Set maximum active zones displayed concurrently to maintain chart clarity.
- Visuals: Fully customizable zone fill, border colors, and label options. インジケーター
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. インジケーター
FVG + Order Block Toolkit [ForexCracked]🔷 OVERVIEW
Two of the most-watched smart money footprints on one clean chart. This toolkit auto-draws Fair Value Gaps and Order Blocks as zones, keeps only the ones that still matter, and shows a live count in a compact dashboard. Fair value gaps are drawn as soft fills and order blocks as bordered blocks, so you can tell the two apart at a glance. It is free and open-source.
🔷 HOW IT DETECTS THE ZONES
Fair Value Gaps: a three-candle imbalance. A bullish FVG is marked when the low of the current candle sits above the high of the candle two bars back, leaving an untraded gap. A bearish FVG is the mirror. Gaps smaller than your Min FVG size (measured in ATR) are filtered out so the chart stays clean.
Order Blocks: displacement based. When a candle closes with a body larger than your Displacement setting (in ATR), the toolkit marks the last opposing candle before that move as the order block. A strong bullish move leaves a bullish order block on the last down candle, and the reverse for bearish.
🔷 ZONE MANAGEMENT
Every zone extends to the right until price closes through it (mitigated) or it passes the Max zone age. That means the boxes on your chart are the ones that are still unmitigated, not old clutter.
🔷 THE DASHBOARD
A compact, positionable panel shows the live count of unmitigated bullish and bearish Fair Value Gaps and Order Blocks, plus a total. Drop it in any corner.
🔷 HOW TO USE
Treat the zones as areas of interest, not automatic trades. Watch for price to return to an unmitigated order block or fair value gap in the direction of your higher-timeframe bias, then confirm with your own analysis and use a stop. Higher timeframes produce fewer and stronger zones.
🔷 SETTINGS
Fair Value Gaps: show on/off, Min FVG size (x ATR), colours. Order Blocks: show on/off, Displacement (x ATR), OB lookback, colours. General: Max zone age, Extend right, Info panel + position.
🔷 ALERTS
New Fair Value Gap, and New Order Block.
Free and open-source. Educational tool, not financial advice. インジケーター
Order Blocks with Volume [Quantum Algo]Order Blocks with Volume
OVERVIEW
This indicator finds order blocks — the candles where a directional move originated before price broke market structure — and measures the buy and sell volume that traded inside each one. Every zone is drawn as a box that extends forward until price returns to it, and each active zone is labelled with its total volume and its buy/sell split, so you can tell at a glance which blocks were built on heavy participation and which were not.
It is built entirely from price and volume on the chart you apply it to. There is no repainting of confirmed zones: detection runs only on closed bars.
HOW DETECTION WORKS
1. Market structure. Confirmed swing highs and swing lows are located using a pivot of configurable length (Swing Length). A larger value isolates more significant structure and produces fewer, larger zones.
2. Break of structure. When a candle closes above the most recent confirmed swing high (bullish) or below the most recent confirmed swing low (bearish), the indicator treats it as a break of structure and looks for the order block that produced the move.
3. The order block candle. Starting from the breakout, the script steps back over the impulse candles and marks the last opposite-close candle before the move began — the last down-close candle for a bullish block, the last up-close candle for a bearish block. This is the origin of the displacement and the level price often revisits.
4. Zone range. The block is drawn from that candle using either its full high-to-low range (Wick) or its open-to-close body (Body).
VOLUME ENGINE
For each order block candle the indicator estimates how much of the traded volume was buying versus selling, using where the candle closed within its own range:
- Buy volume is weighted by how close the candle closed to its high.
- Sell volume is weighted by how close it closed to its low.
This split is shown two ways:
- Buy / Sell volume bars: two horizontal bars anchored at the left of the zone — buy on the top half, sell on the bottom half — with lengths proportional to each side. The Volume Bar Length setting controls how long they can extend (they are automatically kept inside the zone).
- Volume label: written inside the zone on the right edge, showing the total volume of the block and the buy% / sell% balance.
Volume strength is the block's volume divided by the average volume over a configurable baseline (Volume Baseline Length). It is used by the optional filter below to keep only the heaviest blocks.
ZONE LIFECYCLE
- Active. A live zone extends to the current bar and shows its volume bars and label.
- Mitigation. When price first trades back into a zone, the 50% line marks the equilibrium and an alert can fire.
- Invalidation. A zone is invalidated when price moves through its far edge. The source can be a wick touch or a candle close (Invalidation Source).
- Breaker. If "Flip Broken Zones to Breaker Blocks" is on, an invalidated zone is kept and re-coloured as a breaker, since broken support can act as resistance and vice versa.
- Historic. If "Keep Invalidated Zones (Historic)" is on, finished zones are frozen at the bar they died, re-coloured neutral, and their volume bars and text are removed to keep the chart clean.
- If neither option is on, invalidated zones are removed.
To avoid clutter the indicator will not stack a new zone on top of an existing active zone in the same area, limits the number of active zones per side, and automatically drops any zone older than the drawing range.
ON-CHART ELEMENTS
- Coloured boxes: bullish and bearish order blocks (and a neutral colour for breaker/historic).
- Two inner bars per active zone: buy (top) and sell (bottom) volume.
- A dotted line through the middle of active zones: the 50% mitigation / equilibrium level.
- Text inside active zones: total volume and buy% / sell%.
SETTINGS
Structure & Detection
- Swing Length — pivot length used to define structure. Higher = larger, more significant zones.
- Impulse Lookback (bars) — how far back to search for the origin candle after a break of structure.
- Zone Range — Wick (full range) or Body (open-to-close).
- Max Active Zones / Side — cap on simultaneously active zones per direction.
Invalidation
- Invalidation Source — Wick (a high/low piercing the zone) or Close (a candle closing beyond it).
- Flip Broken Zones to Breaker Blocks — keep and re-colour broken zones as breakers.
- Keep Invalidated Zones (Historic) — freeze finished zones instead of deleting them.
Volume Engine
- Show Volume Label — write volume and buy/sell% inside active zones.
- Show Buy / Sell Volume Bars — draw the proportional buy/sell bars.
- Volume Baseline Length — averaging length used to rate volume strength.
- Volume Bar Length (bars) — maximum length of the buy/sell bars.
Filters
- Only Show High-Volume Zones — hide blocks below the strength threshold.
- Min Volume Strength (x avg) — threshold as a multiple of average volume.
- Filter Oversized Zones — skip blocks taller than the ATR limit.
- Max Zone Height (ATR x) — the height limit, in multiples of ATR.
Style
- Bullish Zone, Bearish Zone, Buy Volume, Sell Volume, Breaker / Historic, Text — colours.
- Zone Extension (bars) — how far active zones project past the current bar.
- Show 50% Mitigation Line — toggle the equilibrium line.
ALERTS
Alerts are raised through the alert() function for two events: an order block being tapped (mitigation) and an order block being broken (breaker formed). To use them, create an alert on the indicator and choose the "Any alert() function call" condition.
HOW TO USE
Order blocks mark areas where significant orders were likely placed. Traders commonly watch for price to return to an un-mitigated block and react there, and use the buy/sell volume split and strength to judge how meaningful a block is — a block built on high, one-sided volume is generally treated as more significant than a thin one. Combine the zones with your own confirmation and risk management; this tool highlights levels, it does not generate buy or sell signals.
DISCLAIMER
Nothing here is financial advice or a guarantee of any outcome. Past behaviour of price around order blocks does not predict future results. Always do your own research and manage risk. インジケーター
Liquidity Vault [Dojo La Nuit]Liquidity Vault maps resting liquidity on your chart as clean horizontal levels and tracks what happens to them — without any buy/sell signals or predictions. It is a pure visualization tool for traders who read price around liquidity.
HOW IT WORKS
The script detects swing pivots and clusters nearby highs (and nearby lows) into single liquidity zones using an ATR-based tolerance, so the levels travel across instruments without re-tuning. Each zone gets a strength score from 0 to 100 built from three factors:
• Touches — how many times price reacted at the level
• Freshness — recent levels score higher and decay over time (configurable half-life)
• Volume — relative volume that accumulated at the level
HOW TO READ IT
• Red lines = sell-side liquidity (resting above price)
• Green lines = buy-side liquidity (resting below price)
• Opacity = strength: the stronger the zone, the more solid the line
• Dimmed, dotted lines = zones that have already been swept (price wicked through the level). They are kept as context, not removed.
SETTINGS
• Zone Detection — adaptive or fixed pivot length, clustering tolerance, lookback, max live zones
• Zone Strength — minimum score to display, freshness half-life, volume weighting on/off
• Visuals — theme (auto/dark/light), strength-based intensity, keep swept zones, line width
• Colors — fully customizable buy-side / sell-side colors
NOTES
Strength is shown through line opacity by design, to keep the chart minimal. Zones are recalculated on confirmed bars. This tool highlights where liquidity rests and when it gets taken — it does not generate entries, targets or signals.
This indicator is for educational and analytical purposes only. It is not financial advice. Always do your own research and manage your own risk.
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🌙 LIQUIDITY VAULT — Dojo La Nuit
Liquidity Vault mostra la liquidità presente sul grafico come livelli orizzontali puliti e ne traccia l'evoluzione, senza segnali di acquisto/vendita e senza previsioni. È uno strumento puramente visivo per chi opera attorno alla liquidità.
COME FUNZIONA
Lo script individua i pivot di mercato e raggruppa i massimi (e i minimi) vicini in un'unica zona di liquidità tramite una tolleranza basata sull'ATR, così i livelli funzionano su strumenti diversi senza dover ritoccare i parametri. A ogni zona viene assegnato un punteggio di forza da 0 a 100, calcolato su tre fattori:
• Tocchi — quante volte il prezzo ha reagito al livello
• Freschezza — i livelli recenti pesano di più e si attenuano nel tempo (half-life configurabile)
• Volume — il volume relativo accumulato sul livello
COME SI LEGGE
• Linee rosse = liquidità sell-side (sopra il prezzo)
• Linee verdi = liquidità buy-side (sotto il prezzo)
• Opacità = forza: più la zona è forte, più la linea è piena
• Linee attenuate e puntinate = zone già spazzate (il prezzo ha bucato il livello con un'ombra). Restano come contesto, non vengono rimosse.
IMPOSTAZIONI
• Rilevamento zone — pivot adattivo o fisso, tolleranza di clustering, lookback, numero massimo di zone attive
• Forza zone — punteggio minimo da mostrare, half-life della freschezza, peso del volume on/off
• Visual — tema (auto/scuro/chiaro), intensità in base alla forza, mantieni zone spazzate, spessore linea
• Colori — colori buy-side / sell-side completamente personalizzabili
NOTE
La forza è rappresentata tramite l'opacità della linea, per scelta, per mantenere il grafico minimale. Le zone vengono ricalcolate sulle barre confermate. Lo strumento evidenzia dove si trova la liquidità e quando viene presa: non genera entrate, target o segnali.
Questo indicatore è a scopo puramente didattico e di analisi. Non è consulenza finanziaria. Fai sempre le tue valutazioni e gestisci il tuo rischio. インジケーター
Smart Money Concepts - Regime-Adaptive SMC [Dots3Red]█ SMART MONEY CONCEPTS — REGIME-ADAPTIVE SMC
This indicator attempts to bridge a gap that most SMC traders encounter in practice: the same pattern — an Order Block, a Fair Value Gap, a structure break — behaves differently depending on whether the market is trending or ranging. A bullish Order Block in a trending market is a continuation entry zone. The same pattern near the top of a range is a reversal signal. This script uses a built-in regime classifier to determine the current market character on every bar, then filters and interprets each SMC concept accordingly.
█ HOW THE REGIME CLASSIFIER WORKS
Three measurements are combined into a single trend score on every bar:
ADX (Average Directional Index) measures how strongly price is committed to a direction. It is normalized from its natural 0–60 range to a 0–1 scale by dividing by 60.
Choppiness Index measures directional efficiency — how much of price movement was "wasted" going sideways versus producing net progress. It is inverted so that high choppiness produces a low score. Near 38 (the Fibonacci trend boundary) the normalized value approaches 1.0. Near 100 (pure chop) it approaches 0.0.
The two values are averaged:
trend_score = (adx_normalized + choppiness_inverted_normalized) / 2
A score above 0.6 identifies a trending market. A score below 0.6 identifies a ranging market.
Volatility override: a separate check compares current ATR against its 50-bar SMA. If the ratio exceeds 1.5× the baseline, the regime switches to VOLATILE regardless of the trend score — because during genuine volatility expansion, both trend and reversal signals become unreliable.
Finally, a mode filter examines the last 6 raw regime values and returns the most frequent one. This prevents the regime from flickering on borderline readings.
█ WHAT EACH REGIME SHOWS
TRENDING (cyan bars): Market is moving directionally. Shows BOS labels confirming continuation, Order Blocks created at displacement-qualified BOS bars as continuation entry zones, and Fair Value Gaps as pullback targets in the trend direction. CHoCH signals are hidden — in a trend, CHoCH is usually a deep pullback, not a reversal.
RANGING (magenta bars): Market is oscillating between levels. Shows CHoCH labels flagging potential reversals at range extremes, Order Blocks at CHoCH bars as reversal entry zones, and Fair Value Gaps near range boundaries. BOS signals are hidden — a structure break in a ranging market is usually a liquidity sweep, not a genuine breakout.
VOLATILE (amber bars): ATR has expanded significantly above its baseline — earnings, macro events, sudden liquidations. Order Blocks and FVGs are suppressed because zones created during volatility spikes are historically unreliable. Structure labels (BOS) remain visible for position tracking only.
UNCERTAIN (slate bars): The classifier cannot confidently assign a regime. All signals are displayed so the trader has maximum information. This state occurs during the warmup period and at genuine transition boundaries.
█ ORDER BLOCK DETECTION
Order Blocks require an additional displacement filter before they are created. The body of the candle immediately before the BOS or CHoCH must exceed 0.8× ATR in absolute size. This ensures only candles with institutional-grade momentum qualify — eliminating the low-quality OBs that make most SMC scripts visually cluttered.
Mitigation uses standard ICT methodology: a bullish OB is consumed when price's low touches the top of the zone. A bearish OB is consumed when price's high touches the bottom of the zone. Consumed zones fade visually and stop extending.
█ FAIR VALUE GAP DETECTION
A bullish FVG exists when the high of candle is below the low of candle — a genuine three-candle imbalance where price moved too fast to fill. A minimum size filter of 0.15× ATR removes noise gaps. FVGs extend forward until price enters the gap, at which point they fade and stop tracking.
█ PREMIUM / DISCOUNT ZONES
Two horizontal lines divide the current 25-bar swing range:
• 75% level (red): price is in the upper quartile of the recent range — statistically expensive. In ranging markets this is a sell consideration zone.
• 25% level (green): price is in the lower quartile — statistically cheap. In ranging markets this is a buy consideration zone.
The HUD displays the current percentage position within the range in real time.
█ SMC BIAS MATRIX
The HUD includes a composite directional score built from three components:
• Structural trend (35 points): which direction is the structural_trend state machine currently pointing
• Premium / Discount position (30 points): which side of the range is price on
• Regime alignment (35 points): does the regime confirm the directional bias
In VOLATILE and UNCERTAIN regimes the bias is forced to 50% and displays "STAND ASIDE" or "WAIT FOR REGIME" — because the script suppresses OB and FVG signals in those states, showing a directional bias would contradict its own logic.
█ WHAT YOU SEE ON THE CHART
• Bar colors: every bar is tinted by the current regime — cyan (trending), magenta (ranging), amber (volatile), slate (uncertain). No labels or background fills — just the candles themselves change color, keeping the chart clean.
• BOS / CHoCH labels: small labels appear above swing highs (bullish breaks) or below swing lows (bearish breaks), offset by 1.5× ATR so they never overlap candle bodies.
• Order Block boxes: semi-transparent boxes that extend bar by bar until mitigated, then fade. Maximum 4 per direction.
• FVG boxes: thin semi-transparent boxes extending until filled, then fading. Minimum size filtered.
• Premium/Discount lines: two step-lines showing the 75% and 25% boundaries of the current swing range.
• HUD: regime state, confidence bar, bias matrix, P/D zone, ADX, Choppiness Index, ATR ratio, and live counts of active OBs and FVGs.
█ ALERTS
Seven alert conditions are available: Bull BOS, Bear BOS, Bull CHoCH, Bear CHoCH, Regime → Trending, Regime → Ranging, Regime → Volatile.
█ NOTES ON SETTINGS
• Regime Smoothing Filter: 5–7 for intraday charts, 8–12 for daily/weekly. Lower values react faster but produce more regime transitions.
• Volatile ATR Mult: 1.8–2.0 for stock indices (earnings create genuine 2× spikes), 1.4–1.6 for crypto and forex.
• OB Displacement Mult: 0.5–0.8 for daily charts where candles are naturally larger, 1.0–1.5 for intraday.
• Swing Pivot Length: 5–7 for intraday, 7–10 for daily/weekly.
█ DISCLAIMER
This indicator is a technical analysis tool. It does not constitute financial advice and does not guarantee future results. Past patterns do not predict future price behavior. Use appropriate risk management on all trades. インジケーター
Peak Decoder v1.0Kurzbeschreibung:
Ein hochentwickelter, strukturbasierter Oszillator, der die relative Position des Preises innerhalb seiner aktuellen Handelsspanne entschlüsselt.
Das Tool identifiziert vollautomatisch die mathematischen und visuellen Scheitelpunkte (Peaks & Troughs) in den Extremzonen und filtert kurzfristiges Marktrauschen sowie Fehlausbrüche effektiv heraus.
Hauptfunktionen & Funktionsweise:Drei integrierte Sensitivitäts-Modi:
Über das Einstellungsmenü kann die Reaktivität des Algorithmus fliegend gewechselt werden:
Aggressiv: Extrem schnell, optimiert für das Scalping in kleinsten Zeiteinheiten.
Normal: Die ausgewogene Standard-Einstellung für das klassische Daytrading.
Passiv: Filtert starkes Rauschen heraus, ideal für die übergeordnete Trendbestimmung (HTF).
Intelligenter Bounce- & Wellenfilter: Der Indikator speichert Ausbrüche in den Extremzonen im Zwischenspeicher. Er wartet geduldig, bis eine Bewegung endgültig abgeschlossen ist. Entstehen tiefere Täler oder höhere Hochs innerhalb derselben Phase, wandert das Signal automatisch mit.
Striktes Wechselsystem: Die Logik erzwingt ein sauberes, alternierendes Signalmuster (Top ➔ Bottom ➔ Top). Dadurch werden mehrfache Fehlsignale auf derselben Seite in volatilen Seitwärtsphasen komplett eliminiert.
Präzise visuelle Signale: Bestätigte Wendepunkte werden mit dezenten Kreisen direkt auf der Wellenspitze markiert. Zur besseren Übersicht wird ein fetter Richtungspfeil horizontal (auf 3 Uhr) daneben platziert.
Anwendung im Trading:Der Oszillator dient als hervorragender Filter zur Bestimmung von Premium- (Überkauft) und Discount-Zonen (Überverkauft) im Rahmen von Smart Money Concepts (SMC) oder klassischen Marktstruktur-Strategien.
Rot (Oben): Potenzielle Erschöpfung der Käufer, Vorbereitung für Short-Setups.
Grün (Unten): Potenzielle Erschöpfung der Verkäufer, Vorbereitung für Long-Setups.
Enthält eine voll integrierte Alarm-Schnittstelle (alert()), die pro Bar-Close einmalig auslöst, sobald ein Peak final bestätigt wurde. インジケーター
Crypto Ultimate Indicator v2═══════════════════════════════════════════════
CRYPTO ULTIMATE INDICATOR (CUI)
═══════════════════════════════════════════════
A multi-layer confluence system for crypto traders. Stacks 12+ independent technical layers — trend, momentum, volume, regime, multi-timeframe bias, and Smart Money Concepts — and fires Buy/Sell signals only when enough of them agree. Every signal comes with a confidence score, three take-profit levels, position size recommendation, and live outcome tracking.
Built for 4H and Daily crypto charts. No proprietary "secret sauce" — every component is documented and every input is exposed.
━━━━━━━ WHY THIS EXISTS ━━━━━━━
Most multi-indicator scripts stack correlated trend filters (more EMAs, more oscillators) and call it "confluence." That just adds the illusion of agreement without adding independent information.
CUI's filter stack is built from genuinely different signal sources, so when they align, that alignment carries real weight:
• Trend regime — HMA + Supertrend + EMA Ribbon
• Momentum — RSI with proper pivot-to-pivot divergence
• Volume flow — body-weighted Volume Delta + CVD divergence
• Volatility state — Bollinger squeeze + squeeze-release timing
• Market structure — composite of ADX, Choppiness Index, BB-width percentile
• Multi-timeframe — weighted Daily / Weekly / Custom HTF (all offset, no repaint)
• Liquidity & gaps — Fair Value Gaps + Liquidity Sweep detection
• External context — optional BTC trend filter for alt trading
A Buy or Sell only fires when the relevant subset of these align. A built-in "Why-Not" diagnostic table shows you exactly which filter is blocking a near-signal at any moment — turning the indicator into a tunable system rather than a black box.
━━━━━━━ CORE FEATURES ━━━━━━━
TREND & MOMENTUM
▸ Hull Moving Average (configurable length)
▸ Supertrend with ATR factor
▸ 5-EMA Ribbon (8/13/21/34/55) with stacking score
▸ RSI with consecutive-pivot divergence detection
▸ MACD and Stochastic RSI (data window)
VOLUME
▸ Body-weighted Volume Delta (not naive close-position)
▸ Cumulative Volume Delta (CVD)
▸ CVD divergence at confirmed pivots
VOLATILITY & REGIME
▸ Bollinger Bands with squeeze detection and release timing
▸ Composite regime classifier (ADX × CHOP × BB-width)
▸ Background tint for trending vs ranging states
▸ Regime transition labels
SMART MONEY CONCEPTS
▸ Fair Value Gap zones (bullish and bearish)
▸ Liquidity Sweep detection
MULTI-TIMEFRAME
▸ Daily / Weekly / User-defined custom HTF
▸ Weighted confluence score (D 1.0x + W 1.5x + Custom 0.75x)
▸ Optional HTF pivot-based S/R lines
BTC CONTEXT (for alt traders)
▸ Optional BTC trend filter
▸ Relative strength vs BTC
SIGNAL ENGINE
▸ 0-100 confidence score
▸ Configurable minimum confidence threshold
▸ Auto-tune presets (Aggressive / Balanced / Conservative / Custom)
▸ Confirmation bar requirement
▸ Minimum spacing between signals
TRADE MANAGEMENT
▸ Three take-profit levels (TP1/TP2/TP3) with configurable ATR multipliers
▸ Custom % allocation per target
▸ Adaptive SL/TP — different distances in trending vs ranging conditions
▸ Break-even stop activation after TP1
▸ Chandelier ATR trailing stop on runner portion
▸ Position size calculator (account size × risk % × confidence multiplier)
LIVE TRACKING & DIAGNOSTICS
▸ Main dashboard with all current state
▸ Signal log table — last N trades with live TP/SL outcomes
▸ Why-Not diagnostic — which filter is currently blocking each direction
▸ Regime stats — win rate broken down by trending vs ranging
ALERTS
▸ 15+ classic alertcondition triggers
▸ Optional JSON webhook payload for bot integration
━━━━━━━ HOW A BUY SIGNAL FIRES ━━━━━━━
All of the following must be true on the signal bar:
1. HMA trending up
2. RSI above 50
3. Volume delta positive
4. EMA Ribbon score ≥ +3 (at least 4 of 5 aligned bullish)
5. Supertrend bullish
6. HTF confluence score ≥ +1.5
7. Confidence score ≥ user minimum
8. BTC trend bullish (if BTC filter enabled)
9. Price not inside opposing FVG zone (if FVG filter enabled)
10. Market not in strong ranging mode
11. Price more than 0.5 ATR from upper resistance zone
12. Candle body > 50% of range
13. Minimum bars elapsed since last signal
14. Confirmation bar (if enabled)
A Sell signal requires the inverse. On 4H BTC expect roughly 1-3 signals per week in normal conditions. If you see fewer, drop the confidence floor or switch to the Aggressive preset.
━━━━━━━ RECOMMENDED USE ━━━━━━━
▸ Primary: 4H on BTC/USDT, ETH/USDT, and majors
▸ Also works: Daily, 12H, 8H
▸ Use caution below 1H — noise increases, news spikes can trigger wicks
▸ Low-liquidity alts: bump ATR period to 21
WORKFLOW
1. Start on the Balanced preset
2. Watch the dashboard and Why-Not panel for a few sessions
3. Adjust the confidence floor based on signal frequency
4. Enable Regime Stats after chart history accumulates
5. For bots: enable JSON webhook alerts, route via "Any alert() function call"
━━━━━━━ REPAINT DISCLOSURE ━━━━━━━
Full transparency on what does and doesn't repaint:
▸ HMA, Supertrend, EMA Ribbon: repaint on the developing current bar (use bar-close confirmation for live trading)
▸ HTF confluence (D/W/Custom): all use offset — fetch last closed HTF bar only — NO intra-period repaint, NO lookahead
▸ RSI and CVD divergence labels: plotted at confirmed pivot bar (5 bars after the actual pivot). Do NOT appear and disappear.
▸ FVG zones: drawn on confirmation bar of the 3-bar gap pattern. Do not repaint once drawn.
▸ Liquidity sweeps: detected on bar close
▸ Trade outcomes (signal log): evaluated on each closing bar
▸ Regime transition labels: confirmed on bar close
━━━━━━━ HONEST LIMITATIONS ━━━━━━━
▸ This is a decision-support tool, not a complete trading system. Risk management, position discipline, and execution matter more than any indicator.
▸ Signal outcomes in the Regime Stats table are based on bar-close evaluation. Real-fill slippage is not modeled.
▸ Volume Delta is approximated from candle structure, not true tick-level bid/ask (TradingView doesn't expose that without premium feeds).
▸ FVG and liquidity sweep are simplified interpretations of those concepts — pure SMC purists may prefer dedicated tools.
▸ The regime classifier is a heuristic composite. It works well on liquid crypto pairs but can lag at sharp inflection points.
▸ Past performance does not predict future results.
━━━━━━━ SETTINGS OVERVIEW ━━━━━━━
The script has many inputs, grouped by function. For first-time users, the most important groups are:
▸ Preset & Theme → pick Balanced to start
▸ UI Sizing → table text and label sizes
▸ Signal Engine → set Minimum Confidence Score
▸ Tiered Exits → TP/SL multipliers and % allocation
▸ Position Sizing → account size and risk per trade
▸ Alerts & Webhooks → enable JSON for bot trading
Default state shows a clean chart: HMA, Supertrend, BB, regime tint, signal labels, plus three tables (dashboard, signal log, HTF panel). Everything else is one toggle away — EMA Ribbon, FVG boxes, ATR zones, HTF S/R lines, CVD divergence labels, sweep markers, Why-Not diagnostic, Regime Stats.
━━━━━━━ WHAT'S NOT INCLUDED ━━━━━━━
▸ Full strategy() backtest — this is an indicator(). A companion strategy script may be released separately.
▸ Funding rate / open interest overlays — require specific tickers not universally available
▸ Chart pattern recognition (H&S, wedges, etc.)
━━━━━━━ CREDITS ━━━━━━━
Built on Pine Script v6. Uses TradingView built-ins: ta.supertrend, ta.dmi, ta.bb, ta.macd, ta.rsi, ta.pivothigh, ta.pivotlow, ta.valuewhen. Choppiness Index, CVD, FVG detection, liquidity sweep logic, regime classifier, confidence scoring, trade tracking, and confluence weighting are custom implementations.
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インジケーター
Daily Bias Liquidity Profiler [MarkitTick]💡 This advanced analytical framework is engineered to decode market structure, track liquidity sweeps, and map volatility profiles on an intraday basis. Built natively for the sophisticated Pine Script version 6 environment, this indicator transcends basic charting by aggregating Previous Day metrics, session-specific liquidity pools, Fair Value Gap (FVG) confluences, and probabilistic bias models into a single, cohesive visual interface. It is designed for quantitative and algorithmic traders who require a deep understanding of market mechanics, offering unparalleled insight into where resting liquidity is likely positioned and how daily volatility is structured based on pure statistical variance.
✨ Originality and Utility
● Comprehensive Architectural Design
Most standard technical indicators focus on a single mathematical transformation, such as moving averages or simple momentum oscillators. The originality of this profiler lies in its multi-faceted approach, unifying advanced price action concepts that typically require multiple separate scripts. By leveraging Pine Script version 6 User-Defined Types (UDTs), the script maintains an incredibly lightweight footprint while calculating complex, interconnected market states without degrading chart performance.
● Algorithmic Session Tracking
The utility of the indicator is profoundly evident in its automated handling of time-based liquidity. Rather than manually drawing boxes around the Asian and London sessions, the script dynamically profiles these periods. It treats their boundaries not as mere historical artifacts, but as active, magnetic liquidity pools that drive future price action.
● Real-Time Bias Computation
This tool introduces a dynamic probability engine that continuously evaluates the likelihood of price sweeping the Previous Day High or Previous Day Low based on current opening momentum and accumulated volatility. This gives traders a statistical edge in determining their daily directional bias without relying on subjective chart patterns.
🔬 Methodology and Concepts
● Daily Range Profiling
At the core of the script's methodology is the Daily Profile engine. It systematically captures the Previous Day High, Previous Day Low, and Previous Day Close. These levels represent the absolute boundaries of yesterday's value area. The script calculates the total range of the previous day to establish a baseline for current-day expectations and statistical deviation limits.
● Session Liquidity Engineering
The script defines distinct macro-economic windows, specifically targeting the Asian and London trading sessions.
Asian Session Consolidation: Often characterized by tight ranges, the Asian session builds resting liquidity above its highs and below its lows. The algorithm tracks these exact price levels dynamically.
London Session Expansion: The script monitors the London open for initial expansion moves that frequently sweep the liquidity accumulated during the Asian session, triggering internal alerts when these specific thresholds are pierced.
● Fair Value Gap (FVG) Confluence
Market imbalances are identified through a precise Fair Value Gap detection algorithm. The script does not just highlight every random gap on the chart; it specifically looks for FVG formations that align with the directional bias and occur in proximity to session sweeps. This creates a high-probability confluence signal, indicating that the market is rapidly moving to rebalance price delivery.
● Advanced Volatility Metrics
Volatility is not measured through standard lagging indicators. Instead, the script utilizes an Average Daily Range (ADR) calculation. It dynamically tracks the percentage of the ADR that has been fulfilled during the current day. By calculating how many bars it typically takes to reach standard deviation milestones of the ADR, the script provides a predictive model for intraday exhaustion.
● Dynamic Bias Scoring Engine
The indicator calculates a running score to determine the daily bias. It awards positive and negative weights based on several factors: the location of the current price relative to the daily open, whether a session liquidity sweep has occurred, the presence of FVG confluences, and the proximity to the Previous Day's extremes. This score is translated into a probability percentage for sweeping either the high or the low.
🎨 Visual Guide
● Liquidity Zones and Range Boxes
Session Boxes: Distinct, shaded rectangular regions drawn over the chart to encapsulate the high and low bounds of the Asian and London sessions. These boxes visually isolate the accumulation phases.
Range Zone Boxes: Projected areas above and below the current price action representing high-probability reversal or expansion targets based on the ADR calculations.
● Structural Lines
Previous Day Boundaries: Solid, distinct horizontal lines marking the exact price levels of the Previous Day High and Previous Day Low.
Midlines: Subtler horizontal lines traversing the center of the calculated range zones to indicate equilibrium levels where price action may stall or pivot.
● Dynamic Labels and Alerts
Sweep Labels: Textual annotations that appear exactly when price pierces a session boundary or previous day extreme, explicitly confirming a liquidity sweep.
Bias State Text: A dedicated label displaying the current statistical bias, updating dynamically as volatility metrics shift throughout the trading day.
📖 How to Use
● Establishing Directional Bias
Begin your analysis by referencing the Bias State metric displayed on the chart. If the script calculates a high probability of sweeping the Previous Day High, prioritize bullish setups. Conversely, a high probability for the Previous Day Low dictates a bearish posture. Do not fight the algorithmic bias without significant contradicting evidence from higher timeframes.
● Executing the Sweep and Reverse
Monitor the Asian and London session boxes. A prime setup occurs when price aggressively breaks outside a session box and immediately faces strong rejection. This false breakout is the trigger for a mean-reversion trade targeting the opposite side of the session range. Look for the script's sweep labels to confirm the level has been compromised.
● Filtering with Volatility
Consult the Volatility Metrics before entering a trade. If the current daily range has already fulfilled a high percentage of the Average Daily Range (ADR), the probability of further directional expansion diminishes. In such cases, avoid breakout trades and look for exhaustion reversals at the projected Range Zone extremes.
● Utilizing FVG Confluence
When a sweep occurs, wait for the algorithm to highlight a valid Fair Value Gap in the opposite direction of the sweep. Enter the market on the retracement into this FVG, placing stop losses just beyond the sweep extreme for optimal risk-to-reward ratios.
⚙️ Inputs and Settings
● Time and Session Configuration
Asia Session Hours: Allows the user to precisely define the start and end times of the Asian session based on their specific exchange and timezone.
London Session Hours: Configurable inputs to match the precise opening and closing dynamics of the European market.
● Volatility Parameters
ADR Lookback Length: The historical window (number of days) used to calculate the Average Daily Range. A shorter lookback makes the indicator more responsive to recent volatility spikes, while a longer lookback provides a smoother, more stable expected range.
● Visual Toggles
Show Session Boxes: A boolean toggle to enable or disable the shaded background for trading sessions, allowing for a cleaner chart if only the boundary lines are desired.
Show Sweep Labels: Allows users to turn off the text annotations for liquidity sweeps to reduce visual clutter during highly volatile, choppy market conditions.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Auction Market Theory and Liquidity
The foundational logic of this script is deeply rooted in Auction Market Theory. Financial markets operate as a continuous dual-auction process, seeking areas of high liquidity to facilitate trade execution for large-scale participants. The script mathematically models this by isolating session highs and lows, recognizing them as high-density zones for stop-loss orders and breakout triggers.
● Statistical Variance and Range Forecasting
The Volatility Metrics engine relies on historical variance. By computing the Average Daily Range over a predefined dataset, the script applies a simplified standard deviation model to predict the expected boundaries of the current day. This creates a probabilistic bell curve of expected price distribution, where the extremes of the ADR represent the tails of the distribution curve, indicating areas of high mean-reversion probability.
● Microstructural Order Flow Imbalances
The Fair Value Gap (FVG) detection logic is an algorithmic representation of order flow imbalance. In academic market microstructure, when price moves with extreme velocity, it creates a void in the bid-ask spread where only one side of the market was effectively matched. The script mathematically identifies these structural inefficiencies, utilizing them as high-probability zones for future price retracements, as the market naturally seeks to re-auction these inefficiently traded areas.
● Probabilistic Modeling
The bias engine utilizes a rudimentary form of multi-factor linear weighting. By assigning specific values to isolated market events (e.g., crossing the open price, sweeping a specific session), the model computes a composite score. This deterministic approach strips away emotional trading by replacing it with a quantifiable metric that guides directional expectations.
⚠️ 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. I 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. インジケーター
Smart Money Displacement Ladder [AGPro Series]Smart Money Displacement Ladder
🧠 Core Idea
Is displacement strong, clean, and sustained enough to shift market context?
📌 Overview / What it does
Smart Money Displacement Ladder is a rule-based market-structure and price-action visualization tool designed to study strong directional displacement candles.
The script identifies clean bullish or bearish displacement, maps the imbalance shelf created by the candle, tracks ladder-style follow-through, and highlights whether the displacement is being sustained or failing.
It does not predict price direction, automate trades, or guarantee that displacement will continue. It is a structured decision-support map for displacement quality, imbalance shelf behavior, ladder continuation, and failure context.
🎯 Purpose & Design Philosophy
Many smart-money or imbalance tools mark a gap, a candle, or a generic continuation zone.
This script was built to answer a more complete question:
Did displacement actually change context, and is the market defending that displacement?
The design goal is to help traders read displacement as a progression: clean candle, shelf defense, ladder step, sustained pressure, or failure.
⚡ Why This Script Is Different
Most tools focus on single displacement candles, fair value gaps, or basic momentum signals.
This script does NOT treat every large candle as meaningful displacement.
Instead, it checks candle body, range, close location, optional volume participation, shelf defense, and ladder continuation. The focus is displacement quality and progression rather than simple candle marking.
⚙️ Methodology
1. Candle Quality Detection
The script evaluates candle body size, full range, and close strength relative to ATR.
2. Displacement Validation
A candle must satisfy directional and quality thresholds before it becomes the active displacement anchor.
3. Imbalance Shelf Mapping
After displacement forms, the script projects an imbalance shelf from the displacement candle.
4. Ladder Evaluation
Price extension beyond the active ladder level increases the ladder step count and strengthens the continuation context.
5. Visual Output
The chart displays the displacement box, imbalance shelf, ladder rails, centered shelf label, event labels, right-side tags, alerts, and a compact AG Pro decision panel.
🗺️ How to Read the Chart
Displacement Box = the active candle range that created the displacement anchor.
Imbalance Shelf = the projected shelf that should ideally remain defended after displacement.
Ladder Rail = the active extension level used to track follow-through.
Centered Shelf Label = the main visual anchor inside the active imbalance shelf.
Right-Side Tags = current displacement state, quality score, and shelf reference.
Event Labels = clean displacement, ladder continuation, or displacement failure labels.
Panel = summarizes displacement state, direction, quality score, ladder steps, shelf range, next context, and timeframe.
🚦 Signals & States
• CLEAN DISPLACEMENT → a directional candle meets displacement quality rules.
• FOLLOW-THROUGH → price extends beyond the active ladder level after displacement.
• LADDER STEP → a new continuation step is formed.
• SUSTAINED DISPLACEMENT → multiple ladder steps are active after the displacement anchor.
• DISPLACEMENT FAIL → price loses the imbalance shelf during the failure window.
• WAIT DISPLACEMENT → no valid displacement anchor is active yet.
🔔 Alerts Logic
Alerts trigger when a major displacement state appears.
• Clean Displacement → a clean directional displacement candle has formed.
• Displacement Ladder Continuation → price extended the active displacement ladder.
• Displacement Failure → price lost the active imbalance shelf after displacement.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when:
• Candle body is large relative to ATR
• Candle range expands cleanly
• Close location is strong in the displacement direction
• Relative volume supports participation
• The imbalance shelf remains defended
• Price forms additional ladder steps
• The panel state agrees with chart labels
If these elements do not align, the script avoids forcing a displacement continuation interpretation.
📊 When to Use
• Smart-money displacement studies
• Market-structure shift review
• Momentum expansion analysis
• Imbalance shelf tracking
• Trend continuation context
• Crypto, forex, stocks, and index markets
• 1H, 4H, and daily charts
⚠️ When NOT to Use
• Very low-liquidity symbols
• Extremely noisy markets with unreliable candle structure
• News spikes where displacement quality may be distorted
• Ultra-low timeframes with excessive wick noise
• Markets where large candles repeatedly fail without structure
• Situations where displacement should not be interpreted without broader context
🎛️ Key Inputs
• ATR Length → normalizes displacement size, shelf depth, and label spacing.
• Minimum Body ATR → controls how large the candle body must be before displacement qualifies.
• Minimum Range ATR → controls how much total candle expansion is required.
• Close Strength Threshold → controls how strong the candle close must be inside the range.
• Use Volume Confirmation → adds relative volume to quality scoring.
• Shelf Failure Window → controls how long shelf failure remains relevant after displacement.
• Imbalance Shelf ATR → controls shelf thickness.
• Projection Bars → controls how far shelves, rails, and tags project.
• Label Font Size → controls chart label and tag text size.
• Panel Font Size → controls panel text size.
🖥️ Interface & Visual Design
The visual hierarchy is built around the displacement progression.
The displacement box marks the anchor candle.
The shelf shows where displacement should ideally remain defended.
The ladder rail shows whether price is extending.
The centered badge keeps the active shelf readable at first glance.
The AG Pro panel summarizes the current displacement state without requiring the user to inspect every candle manually.
🧪 Practical Usage Workflow
1. Wait for a clean displacement candle.
2. Check the imbalance shelf created by that candle.
3. Watch whether price defends or loses the shelf.
4. Look for ladder steps after shelf defense.
5. Use the panel to confirm direction, quality, ladder count, and next context.
6. Interpret the output inside broader trend, liquidity, volatility, and structure context.
🔍 Interpretation Guidelines
Clean displacement does not guarantee continuation. It means the candle met the script's displacement quality rules.
A defended shelf does not guarantee trend expansion. It means price has not invalidated the displacement shelf during the active window.
A ladder step does not guarantee follow-through. It means price extended the active ladder reference.
A displacement failure is a structural warning, not a trading command.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed entry or exit signals.
It is not a simple fair value gap marker.
It is not a full smart-money concept trading system.
⚠️ Limitations & Transparency
Displacement quality depends on ATR and candle structure.
Timeframe differences can change displacement visibility.
High volatility can create large candles that fail quickly.
Low-liquidity markets may create misleading candle expansion.
Shelf behavior should be interpreted within broader market structure.
The script is designed for structured interpretation, not certainty.
🧠 Market Context Notes
Displacement often matters most when it appears near important structure, after liquidity events, or during momentum expansion.
The same displacement candle can mean different things in a strong trend, a range, a liquidity sweep, or a news shock.
The script should be read together with volume, volatility, liquidity, and higher-timeframe context.
🧾 Use Case Examples
• If a bullish displacement candle forms and the shelf remains defended, the ladder may show follow-through context.
• If a bearish displacement candle forms and price quickly reclaims the shelf, the map may show displacement failure.
• If multiple ladder steps form after displacement, the script may classify the move as sustained displacement.
🧱 System Philosophy
Smart Money Displacement Ladder is part of the AGPro Series approach to decision-support tools:
clear structure, premium chart readability, honest interpretation, and no promise of certainty.
The goal is to help traders see whether displacement is being defended and extended, without turning every strong candle into a forced signal.
🔐 Non-Promise Statement
No script can know the future.
No displacement candle guarantees continuation.
No signal should be interpreted without broader market context.
📉 Risk Disclosure
Trading involves risk.
Markets can move unpredictably.
This script is for educational and analytical purposes only.
It does not provide financial advice or guaranteed trading outcomes.
Users remain responsible for their own decisions.
📚 Educational Note
Use this script to study how displacement develops after a strong candle.
The value is not only in the displacement label. The value is in learning whether the market defends the shelf, extends through ladder steps, or rejects the displacement context.
インジケーター
Order Block Detector [SMC ChartSense]# SMC ChartSense — Order Block Detector
**Order block detection with mandatory FVG (Fair Value Gap) confirmation.** Each zone marked must have a 3-bar FVG at the anchor candle — institutional displacement that left a literal gap in price. Most basic OB scripts flag every breakout candle as an order block; this script filters to only the zones that came with displacement footprint, producing a cleaner chart with fewer but more meaningful zones.
## How it works
The script tracks swing pivots at a configurable length and waits for a confirmed break — a candle that closes beyond the prior swing high or low. When a break occurs, it searches back through the recent bars to identify the deepest counter-direction candle (lowest low for a bullish OB, highest high for a bearish OB). This becomes the OB anchor.
The anchor is then validated against the FVG requirement: there must be a 3-bar gap at the anchor index (bar A high below bar C low for bullish, bar A low above bar C high for bearish). No FVG, no OB. This is the central quality filter.
Validated zones extend forward from the anchor and remain active until invalidated — either when price closes through the zone or when the wick touches the far side, depending on user preference.
## Features
- FVG validation gate at the anchor candle (3-bar gap requirement)
- Configurable swing pivot length for structural sensitivity
- User-tunable OB anchor lookback (5–100 bars)
- Wick-based or body-based zone definition
- Configurable mitigation trigger: Close-through or Wick-touch
- Auto-pruning of oldest OBs when active count exceeds limit
- Optional faded display of mitigated zones for historical study
- Built on Pine v6 with clean, maintainable architecture
## Inputs
**Structure Detection**
- *Swing Pivot Length* — Higher values produce fewer, more significant pivots. Lower values produce more frequent pivots of smaller structural significance. Default: 5.
**Quality Filters**
- *OB Anchor Lookback Bars* — How far back from a confirmed pivot break to search for the OB anchor candle. Default 30 covers most timeframes; reduce for scalping, increase for higher TFs.
- *Anchor OB to Wick (vs Body)* — Wick mode uses the full candle range. Body mode uses open/close only (tighter zones).
- *Mitigation Trigger* — Close mode invalidates when a candle closes through the zone. Wick mode invalidates on first wick touch.
**Visualization**
- Bull/Bear OB colors (customizable)
- Max OBs Per Side (caps active display, oldest auto-pruned)
- Show OB Labels (off by default — boxes alone are usually sufficient)
- Show Midline (50% level inside each OB, dotted)
- Keep Mitigated OBs Visible (faded gray boxes remain for historical reference)
## Built-in alerts
- New Bull OB formed
- New Bear OB formed
- Bull OB touched (price entered zone)
- Bear OB touched (price entered zone)
## Suggested use
Best on liquid intraday markets — major forex pairs, crypto perps, index futures, large-cap equities — at timeframes from 5m to 4h. Default settings are tuned for 15m–1h ranges; adjust Swing Pivot Length down to 3 for scalping or up to 8–10 for higher-TF trend trading.
Use this as a context tool. The zones identify where institutional displacement occurred — actual entries should incorporate your own analysis: HTF bias, structural alignment with current market regime, risk-reward planning, and confirmation from other tools.
## Part of the SMC ChartSense suite
One of several focused SMC tools. Designed to work alongside other SMC ChartSense scripts for a coherent analytical workflow across the SMC vocabulary.
## Disclaimer
This is a technical analysis tool. It does not provide investment advice or trade recommendations. The author is not a SEBI-registered Research Analyst. Use at your own risk; do your own due diligence. インジケーター
ICT SMC Liquidity Grabs and OTE ZonesICT SMC Liquidity Grabs and OTE Zones
This indicator combines three core ICT Smart Money Concepts into one clean confluence tool: liquidity sweeps (grabs), Order Blocks formed on strong reversal candles, and Optimal Trade Entry (OTE) Fibonacci zones at 61.8% and 78.6%.
How it works:
- Detects liquidity grabs by checking if price sweeps the highest high or lowest low over a user-defined lookback and closes back inside.
- After a grab, it marks the Order Block only on strong candles (body > 30% of range).
- Dynamic Fibonacci levels are drawn from the most recent confirmed pivot swing high/low.
- Buy/sell entries trigger only when a liquidity grab + strong candle + price inside the OTE zone align.
- Optional stop-loss lines and exact SL levels are shown on signals for immediate risk visibility.
- Take-profit targets: TP1 at previous swing extreme, TP2 at 1.5x risk (adjustable).
Key customizations (all exposed in inputs):
- Liquidity lookback period
- Pivot strength (left/right bars) — tune for different timeframes
- Order Block box length
- TP2 multiplier and SL distance multiplier
- Full color control for every element
- Toggle visibility of grabs, blocks, Fib lines, entries, and SL
Best used on NQ and ES futures, 5-minute and 15-minute charts during NY session. Works best in ranging or mildly trending markets where liquidity sweeps are respected.
How to use:
1. Wait for LG-L + bullish candle inside buy OTE zone → long
2. SL below the OTE zone (shown automatically)
3. TP1 = previous swing high, TP2 = 1.5R
4. Reverse for shorts on LG-H
Important warnings:
- Pivot-based Fib levels only confirm after the right-side bars complete (standard repainting until confirmation — normal for all pivot indicators).
- In strong trending markets, grabs can fail more often. Reduce position size or add your own higher-timeframe filter.
- This is a confluence tool, not a standalone strategy. Always apply proper risk management (risk 0.5-1% per trade max).
- No backtest claims are made. Past performance on any chart does not guarantee future results.
All inputs are grouped logically. Default settings are optimized for NQ 5m. Test on your preferred symbol and timeframe before live use.
Open source. No invite-only or paid versions.
This is a confluence tool, not a magic arrow. You only take trades when all three things line up:
Liquidity Grab (orange LG label)
Order Block (colored box)
Price inside OTE Fib zone + strong candle
Visual Legend (what you see on the chart)
ElementColorMeaningWhat to DoLG-HOrangeLiquidity Grab High (sweep of highs)Look for short setupLG-LOrangeLiquidity Grab Low (sweep of lows)Look for long setupRed BoxRedBearish Order Block (after LG-H)Potential short zoneGreen BoxGreenBullish Order Block (after LG-L)Potential long zoneGreen LinesGreenBuy OTE zone (61.8% – 78.6% from swing low)Long entry areaRed LinesRedSell OTE zone (61.8% – 78.6% from swing high)Short entry areaRed SL LineRedStop Loss (appears only on valid entry)Your risk level
Step-by-Step How to Trade (Using Your Screenshot)
Step 1: Find a Liquidity Grab
Look for the orange LG-H or LG-L labels.
In your chart you can see many — especially on the left and middle sections.
Step 2: Wait for the Order Block
After the LG, check if a colored box appears:
LG-H + red box = bearish OB (institutional selling zone)
LG-L + green box = bullish OB (institutional buying zone)
Step 3: Check if price is in the OTE Zone
For longs: Price must be between the two green Fib lines
For shorts: Price must be between the two red Fib lines
Step 4: Confirm with candle + take the trade
Only enter when you also get a strong candle (big body) in the direction of the grab.
インジケーター
Liquidity Reclaim Planner [AGPro Series]Liquidity Reclaim Planner
🧠 Core Idea
After a liquidity event, is the reclaim strong enough to matter, or is the move still fragile?
📌 Overview / What it does
Liquidity Reclaim Planner is a chart-first liquidity planning tool designed to evaluate what happens after price sweeps a recent swing liquidity reference.
Instead of treating every liquidity sweep as a finished signal, the script starts a structured reclaim workflow. It maps the liquidity event, the reclaim pocket, the failure line, the target-room corridor, a 0-100 reclaim score, failure risk, and a clear next-action state.
The script does not predict price direction, automate execution, or claim that a reclaim will continue. It organizes post-event liquidity context so traders can review whether the reclaim has enough quality, timing, participation, and room to deserve attention.
🎯 Purpose & Design Philosophy
This script was built for traders who want more than another sweep marker.
Many liquidity tools identify where a stop run, wick raid, or sweep happened. That is useful, but the harder question comes after the event: did price reclaim the level cleanly, is the failure point clear, and is there enough structure room for the idea to remain practical?
Liquidity Reclaim Planner supports a decision-engine mindset. It helps users move from raw event detection toward structured review: event, reclaim, failure risk, target room, and next action.
⚡ Why This Script Is Different
Most tools focus on detecting liquidity sweeps, equal highs, equal lows, or stop-hunt style wick events.
This script does NOT try to become a broad liquidity sweep scanner, an EQH/EQL engine, an order block map, a structural breakout reclaim planner, or a generic support/resistance zone tool.
Instead, it focuses on the post-event reclaim decision. It asks whether the sweep was reclaimed with enough depth balance, close strength, timing, volume response, and structural room to become a useful planning context.
⚙️ Methodology
1. Context Detection
The engine tracks confirmed swing highs and swing lows as active buy-side and sell-side liquidity references.
2. Reference Mapping
When price moves through a fresh liquidity reference by an ATR-normalized amount, the script registers a liquidity event and starts a reclaim plan.
3. Reaction Evaluation
The reclaim score evaluates sweep depth, reclaim close strength, time to reclaim, relative volume response, and room to the next structure reference.
4. Visual Output
The script draws the reclaim pocket, failure line, target-room corridor, event labels, sparse context labels, and the AG Pro decision panel.
🗺️ How to Read the Chart
Zones = the reclaim pocket between the swept liquidity level and the event extreme, plus an optional target-room corridor toward the next structural reference.
Labels = liquidity event, reclaim ready, room thin, failure line, and sparse context states.
Colors = bullish reclaim planning uses AGPro teal, bearish reclaim planning uses AGPro pink, neutral review uses gold, and risk/failure context uses red.
Panel = the panel shows Liquidity Event, Reclaim Score, Failure Risk, Room, and Action.
🚦 Signals & States
• Sell-side Event → price swept a recent swing low and a bullish reclaim plan is being evaluated.
• Buy-side Event → price swept a recent swing high and a bearish reclaim plan is being evaluated.
• Reclaim Watch → price has not yet reclaimed strongly enough, but context is active.
• Planner Ready → reclaim score and target room are strong enough for structured review.
• Risk Review → reclaim exists, but the quality profile is not yet clean.
• Room Thin → reclaim exists, but the next structural room is limited.
• Failure Hit → price crossed the active failure line and the reclaim plan needs reassessment.
🔔 Alerts Logic
Alerts trigger when a sell-side or buy-side liquidity event appears, when a reclaim becomes ready, when the planner reaches Planner Ready state, when target room becomes thin, or when the failure line is crossed.
Alerts are attention markers. They are not trade instructions, entry commands, or automated strategy signals.
🧩 Confluence Logic
The strongest context usually appears when sweep depth is balanced, reclaim happens quickly, the reclaim close is decisive, relative volume supports the reaction, and the target-room corridor is not compressed.
When these elements align, the reclaim score improves and the panel action becomes more useful for structured review.
📊 When to Use
• Liquidity-driven markets where swing highs and swing lows are actively swept.
• Intraday or swing charts where reclaim behavior after stop runs matters.
• 4H charts when the trader wants a balanced view between visible liquidity events and readable planning zones.
• Post-sweep review workflows.
• Situations where the trader needs a clear failure line and room assessment.
⚠️ When NOT to Use
• Extremely low-liquidity symbols where swing references are unreliable.
• Highly chaotic news candles where reclaim behavior is distorted by abnormal volatility.
• Very compressed chop where every small swing becomes noise.
• Markets where volume data is missing or not meaningful, unless volume weighting is interpreted carefully.
🎛️ Key Inputs
• Liquidity Pivot Strength → controls how swing liquidity references are confirmed.
• Max Liquidity Level Age → controls how long a swing reference remains eligible.
• Sensitivity → adjusts how selective liquidity event and reclaim thresholds are.
• Timely Reclaim Window → defines how many bars after the event can still count as timely reclaim.
• Planner Ready Score → controls the 0-100 score threshold for the main ready state.
• Minimum Target Room ATR → controls how much structure room is required before room is considered acceptable.
• Visual settings → control reclaim pockets, failure lines, target-room corridors, labels, panel theme, and font sizes.
🖥️ Interface & Visual Design
The interface is built around a clean AG Pro panel and compact chart visuals.
The first panel row is a merged blue AGPro header. The remaining rows show the active liquidity event, reclaim score, failure risk, target room, and next action.
The chart uses a limited number of zones and labels so the active plan is visible without turning the chart into a crowded liquidity map.
🧪 Practical Usage Workflow
1. Read the panel to identify whether a liquidity event is active.
2. Check the reclaim pocket to understand the swept level and event extreme.
3. Review the reclaim score and failure risk.
4. Check the target-room corridor before assigning importance to the reclaim.
5. Use the Action row to decide whether the context deserves review, waiting, or rejection.
🔍 Interpretation Guidelines
Think in terms of quality, not certainty.
A reclaim with a high score, clean timing, strong close, and enough room is more useful than a late reclaim into nearby structure.
A low score does not mean price cannot move. It means the script's reclaim-planning conditions are not well aligned.
🚫 What This Script Is NOT
• Not a prediction engine.
• Not financial advice.
• Not auto trading.
• Not guaranteed signals.
• Not a complete liquidity or smart-money framework.
• Not an order block, FVG, or generic support/resistance map.
⚠️ Limitations & Transparency
Swing references are confirmed after the selected pivot strength, so the script uses confirmed structure rather than instantly known future pivots.
Different timeframes, symbols, volatility regimes, and liquidity conditions can change how reclaim behavior appears.
Relative volume can add context, but volume response does not guarantee continuation or reversal.
Target-room corridors are structural planning references, not forecasts.
🧠 Market Context Notes
Liquidity events often matter most when they occur around visible swing references that many traders can identify.
The reclaim phase is where the decision quality changes. A fast reclaim can show rejection, while a slow or weak reclaim can indicate fragile context.
The failure line exists so the user can see where the active reclaim idea becomes structurally weaker according to the script's own rules.
🧾 Use Case Examples
When price sweeps a recent swing low, quickly closes back above the level, and the target-room corridor is open, the planner may shift from Reclaim Watch to Planner Ready.
When price reclaims late or reclaims directly into nearby structure, the panel may show Risk Review or Room Thin.
When price crosses the active failure line after reclaim, the script marks Failure Hit so the context can be reassessed.
🧱 System Philosophy
Liquidity Reclaim Planner follows the AGPro Series approach: clear structure, rule-based scoring, readable visuals, and decision support without outcome promises.
The script is designed to help traders review the quality of a setup context, not to replace judgment or risk planning.
🔐 Non-Promise Statement
No script can provide certainty.
No reclaim score guarantees continuation, reversal, or profit.
The output should be interpreted as structured analytical context.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, position sizing, risk controls, and market interpretation.
This script does not provide financial advice, investment advice, or guaranteed trading outcomes.
📚 Educational Note
Use this tool to study how liquidity events evolve after the sweep: whether price reclaims, where the failure line sits, how much room remains, and whether the context is strong enough to deserve further review.
インジケーター
Quasimodo Reversal Zones [AGPro Series]Quasimodo Reversal Zones
🔹 OVERVIEW
Quasimodo Reversal Zones is a focused Smart Money Concepts tool built around one specific idea: the Quasimodo reversal pattern.
Instead of turning the chart into a crowded market-structure dashboard, this script identifies confirmed QM swing sequences, marks the original shoulder-derived QM level, projects a clean reaction zone, and tracks the invalidation threshold from the head.
The goal is simple: help traders see where a valid Quasimodo structure formed, where price may revisit the QM level, whether the reaction zone is active, and when the structure has failed.
It is designed as a premium public-free AGPro tool for traders who want a clean, visual, and selective Quasimodo framework without generic signal clutter.
🔹 WHAT MAKES IT DIFFERENT
Most reversal tools try to detect too many patterns at the same time. They often combine double tops, double bottoms, head and shoulders, order blocks, BOS, CHOCH, liquidity sweeps, and support/resistance zones into one heavy overlay.
Quasimodo Reversal Zones stays intentionally narrow.
Its only job is to map Quasimodo reversal structures with quality scoring, reaction-zone tracking, and invalidation logic. This makes the script easier to read, easier to trust visually, and more useful as a dedicated QM layer inside a larger trading workflow.
The script also avoids marking every small pivot as a pattern. A valid QM structure must pass multiple filters:
- confirmed swing sequence,
- meaningful head extension,
- displacement beyond the pullback swing,
- minimum spacing between pivots,
- swing amplitude quality,
- time-balance evaluation,
- optional relative-volume participation.
This gives the tool a more selective and professional feel than simple pivot-label scripts.
🧭 WHY THIS DOES NOT OVERLAP WITH OTHER AGPRO TOOLS
This script was designed to stay in a very specific lane inside the AGPro Series catalog.
It is not a broad reversal-pattern scanner.
It is not a BOS or CHOCH dashboard.
It is not an order block tool.
It is not a generic support/resistance zone engine.
It is not a liquidity sweep module.
Its focus is the Quasimodo pattern only.
The visual logic is built around four QM-specific components:
- the shoulder,
- the head,
- the QM level,
- the reaction zone with invalidation.
That narrow structure keeps the tool differentiated from broader AGPro pattern, breakout, structure, and zone-based scripts while still giving traders a strong SMC-style visual experience.
⚙️ METHODOLOGY
The script uses confirmed swing pivots to build a four-step Quasimodo sequence.
For a bullish QM structure, the script looks for:
- an initial swing low,
- a swing high,
- a lower low that forms the head,
- a higher high that confirms the sequence break.
For a bearish QM structure, the script looks for:
- an initial swing high,
- a swing low,
- a higher high that forms the head,
- a lower low that confirms the sequence break.
After the sequence is confirmed, the original shoulder becomes the QM level. A compact ATR-based reaction box is projected around that level. The head becomes the invalidation reference, with optional ATR padding.
The quality score is built from:
- head extension strength,
- sequence-break displacement,
- spacing between pivots,
- average swing size,
- internal time balance,
- optional relative-volume confirmation.
Only structures that meet the selected score threshold are drawn on the chart.
📊 PANEL
The AGPro panel summarizes the latest valid QM structure in a compact format.
Panel fields:
- Pattern Side
- Structure Quality
- Zone Status
- Score
The first panel row follows the AGPro standard: one merged blue header row containing only the script name.
Panel location, panel theme, and panel font size are adjustable from settings. The default panel size is Normal for a clean publication-ready layout.
🎛️ KEY INPUTS
Swing Pivot Length
Controls how strict the confirmed swing structure should be. Higher values create fewer but cleaner patterns.
ATR Normalization Length
Used to normalize zone width, head extension, sequence displacement, label offset, and invalidation padding.
Minimum Head Extension
Defines how far the head must extend beyond the original shoulder before the sequence can qualify.
Minimum Sequence Break
Defines how strongly the final swing must break beyond the pullback level.
Minimum Pattern Score
Filters out weaker QM sequences before they are drawn.
Signal Cooldown Bars
Controls label density and prevents the chart from becoming overloaded on noisy markets.
Reaction Zone Width
Controls the ATR-based thickness of the projected QM reaction box.
Reaction Zone Length
Controls how far the reaction zone projects into the future.
Invalidation Buffer
Adds optional ATR padding beyond the head-based invalidation level.
Maximum Visible QM Zones
Limits how many recent QM zones remain visible on the chart.
Label Font Size and Panel Font Size
Both are adjustable, with Normal as the default setting.
🔍 HOW TO READ IT
Start with the panel.
Pattern Side shows whether the latest valid structure is bullish or bearish.
Structure Quality gives a quick qualitative view of the setup.
Zone Status shows whether the reaction zone is waiting, active, confirmed, or invalidated.
Score shows the numerical strength of the latest accepted QM pattern.
On the chart:
- Shoulder marks the original level that later becomes the QM reference.
- Head marks the extension that creates the imbalance.
- QM Level marks the precise shoulder-derived reaction level.
- Reaction Zone shows the area where the QM retest is being tracked.
- Invalidation Line shows where the structure is no longer valid.
- Status Label shows the live state of the latest zone.
The cleanest reads usually come when price returns to the reaction zone after a strong sequence break and then shows a visible response away from the QM level.
🧩 BEST USE CASES
This script is best used for:
- SMC-style Quasimodo analysis,
- swing-based reversal mapping,
- reaction-zone planning,
- invalidation-based structure review,
- higher-timeframe QM context,
- clean chart screenshots for public analysis,
- traders who want one dedicated QM layer instead of a large all-in-one structure scanner.
It can be useful on many markets and timeframes, but the best visual quality usually appears on charts where swings are clear and price action is not excessively compressed.
🧠 VISUAL DESIGN PHILOSOPHY
The visual design is built around clarity, not clutter.
The script uses the AGPro color palette with a restrained premium look:
- blue merged panel header,
- teal bullish structures,
- pink bearish structures,
- gold invalidation or inactive-state emphasis,
- compact labels placed away from candles where possible,
- projected boxes that stay readable without covering the chart.
The chart should not feel empty, but it should also not feel noisy. Labels, zones, and status elements are intentionally controlled with cooldowns, maximum visible zones, adjustable offsets, and configurable font sizes.
The goal is to make the QM story easy to understand at first glance.
🔔 ALERTS
The script includes alerts for important QM events:
- Bullish Quasimodo Sequence
- Bearish Quasimodo Sequence
- QM Reaction Zone Touched
- QM Reaction Confirmed
- QM Pattern Invalidated
These alerts are designed around structure events rather than generic entry messages.
🔹 LIMITATIONS AND TRANSPARENCY
This script uses confirmed pivots, so patterns are confirmed only after enough bars have passed to validate the swing structure.
It is intentionally selective. Some early or aggressive QM ideas may not appear if they fail the pivot, spacing, displacement, or score requirements.
The script is not designed to predict every reversal. It is designed to identify cleaner Quasimodo structures, display the relevant reaction zone, and provide a clear invalidation reference.
It also does not attempt to replace broader market analysis. Trend context, volatility, liquidity conditions, and higher-timeframe structure can still matter.
✅ IDEAL USER
This script is ideal for traders who:
- understand basic SMC and price-action concepts,
- want a clean Quasimodo-specific tool,
- prefer visual structure over signal spam,
- care about invalidation and reaction-zone logic,
- want a focused public-free AGPro tool that does not overlap with broader reversal scanners,
- value a premium chart presentation with adjustable labels, zones, and panel controls.
Quasimodo Reversal Zones is built for traders who want the QM pattern to be visible, structured, and easy to evaluate without adding unnecessary market-structure clutter. インジケーター
ICT Smart Money Footprint [AGPro Series]ICT Smart Money Footprint
🔷 OVERVIEW
ICT Smart Money Footprint is a multi-timeframe price action engine that maps institutional liquidity behavior directly onto your chart. It combines higher-timeframe reaction zones (BSL/SSL) derived from swing pivots with candle-by-candle lower-timeframe footprint states — Liquidity Grab, Displacement, and Reclaim — into one cohesive visualization. A live panel tracks session bias, daily event counts, and zone lifecycle, giving price action traders a complete context window for ICT-style analysis across every timeframe.
🧭 UNIQUE EDGE
Most Smart Money Concept indicators plot every swing as a zone, producing cluttered charts that obscure the very structure they aim to reveal. This tool takes a different route. It separates the question "where is liquidity?" (answered at HTF with wide, contextual zones) from "what is price doing right now?" (answered at LTF with footprint labels). The two layers communicate through a single panel and a shared color palette, so the trader always sees both the macro landscape and the tactical footprint without layering multiple scripts. Priority filtering ensures only the highest-conviction event is printed per bar, and confluence windowing prevents label clustering.
⚙️ METHODOLOGY
The script runs two parallel engines.
The HTF Zone Engine pulls pivot highs and lows from a higher timeframe using request.security with lookahead disabled. Each confirmed pivot anchors a reaction zone sized by HTF ATR × 1.5, ensuring natural visibility on any chart view. Buy-Side Liquidity (BSL) zones form above price at pivot highs; Sell-Side Liquidity (SSL) zones form below price at pivot lows. Zones extend right via line.new with extend.right and a linefill between the two edges. When price tags a zone, the zone is marked mitigated: its lines switch to dashed style, width drops, color fades, and right extension freezes at the touch point.
The LTF Footprint Engine evaluates each confirmed candle for three events. Liquidity Grab triggers when price sweeps the prior LTF swing with a buffer and closes back inside range in the opposite direction. Displacement triggers when candle range exceeds ATR × multiplier and the candle breaks the prior bar's extreme. Reclaim triggers when price recovers a recently lost swing level within a 20-bar window. A priority filter (DISP > LG > REC) prints only the strongest event per bar and direction. A session bias score accumulates these events and resets daily, tinting the chart background and updating the panel in real time.
📡 SIGNALS & ALERTS
Six alert conditions are built in:
• Liquidity Grab (bull or bear)
• Displacement (bull or bear)
• HTF Mitigation (any zone tagged)
• Reclaim (bull or bear)
• Bias Turned Bullish
• Bias Turned Bearish
All alerts include ticker and interval placeholders for multi-chart monitoring.
🎛️ KEY INPUTS
HTF Source — Auto scales the higher timeframe to your chart (15m→4H, 1H→D, 4H→W, 1D→M), or pick a manual HTF.
HTF Pivot Length — controls strength threshold of liquidity zones.
HTF Zone Height (ATR x) — default 1.5; tune for wider or tighter zones.
LTF Pivot Length — swing sensitivity for LG and REC detection.
Displacement ATR Multiplier — default 2.0; raise for only the most explosive candles.
Sweep Buffer — extra cushion above or below swing levels for LG qualification.
Confluence Window — suppresses back-to-back same-direction labels.
Session Bias Band — subtle background tint reflecting daily event accumulation.
Panel Location, Theme, Font Size — full control over on-chart presentation.
🧩 HOW TO USE
Start with your normal trading timeframe. The HTF Source set to Auto will anchor the zones to a relevant higher timeframe. Watch how price interacts with the BSL and SSL zones: unmitigated HTF zones act as liquidity targets and reaction areas, while mitigated (dashed) zones mark where liquidity has already been absorbed.
Use the LTF footprint labels to read the tactical story inside those zones. A Liquidity Grab near an SSL zone hints at institutional accumulation. A Displacement candle after an LG often precedes a structural shift. A Reclaim of a recently lost level signals inducement and potential continuation. The panel's Session Bias gives you a running directional read; when it flips, an alert can fire.
Traders typically combine this tool with their own execution framework: HTF zones for bias and target selection, LTF footprints for timing and confirmation. The indicator provides the map; risk management, entry rules, and position sizing remain the trader's responsibility.
⚠️ LIMITATIONS & TRANSPARENCY
This indicator is an analytical mapping tool, not a trading strategy. It identifies structural patterns and plots them for visual analysis.
HTF zones rely on request.security with lookahead disabled, which means new zones appear only after the HTF pivot is fully confirmed — this introduces a natural lag consistent with non-repainting practice but means some reactions may occur before the zone is drawn.
LTF footprint labels are confirmed on bar close. Intrabar signals during live bars may flicker until the bar closes.
Different market conditions produce different zone densities. Ranging markets generate more mitigated zones; trending markets leave more unmitigated zones above or below price. Use the Max Active Zones input to cap chart clutter.
Past structural patterns do not guarantee future outcomes. Liquidity sweeps can mark reversals or simply precede continuation moves. Always validate signals with your own analysis and broader market context.
📌 RISK DISCLOSURE
This script is provided for educational and analytical purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any asset. Trading involves substantial risk of loss. Past performance does not guarantee future results. Users are solely responsible for their trading decisions, risk management, and position sizing. The author assumes no liability for any outcome arising from the use of this indicator. インジケーター
Session Reaction Map [AGPro Series]Session Reaction Map
🔷 OVERVIEW
Session Reaction Map is a premium intraday study that maps how price reacts to the most important daily and weekly reference levels right at the opens of the Asia, London and New York sessions. Each session open is evaluated inside a fixed measurement window, and the resulting reaction is broken down into four dimensions: dominant move, close follow-through, wick rejection and counter-move penalty. The output is a single 0-100 reaction score that is then translated into tier-coded labels, premium reaction zones, an active reference band and a compact status panel, so you can instantly read what happened at each session open without scrolling through candles.
The indicator is designed for discretionary traders, systematic traders, SMC and price action practitioners who want a clean, consistent and quantitative way to read session open behaviour around PDH, PDL, PDM, Daily Open and Weekly Open. Reactions are drawn as directional zones (bull zones above the reference and bear zones below), with up or down pointing labels centered on the reaction, so orientation is always unambiguous.
🧭 UNIQUE EDGE
Most session open tools only mark time windows or highlight levels. Session Reaction Map goes further and quantifies the quality of the reaction itself. Four independent dimensions are measured against a fixed ATR-normalized baseline, and the final score determines not only whether a label is shown but also how prominent it is. Elite scores (80+) get the strongest visuals; strong scores (70-79) get a slightly softer treatment; watch scores (55-69) are coded as caution; anything below 55 is filtered out by default.
This separation between detection (a session open near a reference) and evaluation (the reaction quality score) is the core edge. It lets you focus only on the best intraday reactions and discard noise automatically, while still being able to audit every component by adjusting the ATR length, touch tolerance, evaluation window and score thresholds.
⚙️ METHODOLOGY
Session detection uses the chosen timezone and three session windows (Asia, London, New York), each with its own editable open range. When a session open occurs, the script checks whether the open price is within an ATR based touch tolerance of any enabled reference level (Previous Day High, Previous Day Low, Previous Day Mid, Daily Open or Weekly Open). If so, a reaction window is engaged on that bar and tracked for a configurable number of bars.
During the reaction window, the live zone, reference band and dashed reference line are updated in real time. When the window completes, the final score is computed as:
• Dominant move score (up to 45 points) - scaled against 1.20 x ATR
• Close follow-through score (up to 30 points) - scaled against 0.90 x ATR
• Wick rejection score (up to 15 points) - scaled against 0.50 x ATR
• Counter-move penalty (up to -20 points) - scaled against 1.00 x ATR
The sum is clamped into the 0-100 range and mapped into four tiers: Elite, Strong, Watch and Weak. The dominant direction of the reaction (up or down) is determined by comparing the upside excursion from the reference to the downside excursion from the reference during the window.
🎯 SIGNALS AND VISUALS
• Reaction zones - rectangular areas connecting the reference level with the reaction extreme, tier-coded by score and bias
• Active reference band - a thin accent band around the current reference level during a live reaction window
• Dashed reference line - marks the exact reference price while the reaction is being measured
• Tier-coded labels - up-pointing labels below bullish reactions and down-pointing labels above bearish reactions, centered on the reaction window
• Session dots - small colored markers that optionally display only on valid events, keeping the chart clean
• Active measurement highlight - an ultra-soft background shade on bars inside a live reaction window
Labels use a ring buffer overlap check, so dense multi-session conditions do not pile labels on top of each other. When two labels would visually conflict, the higher-scored reaction wins.
🛠️ KEY INPUTS
Sessions - enable/disable and edit Asia, London and New York session windows, each with its own color and timezone.
Reference Levels - individually toggle PDH, PDL, PDM, Daily Open and Weekly Open.
Reaction Logic - ATR length, touch tolerance in ATR, evaluation bars, label score filter, minimum label score, overlap reduction (bars and vertical ATR gap).
Visuals - show/hide reference levels, session dots, dots only on valid events, reaction zones, minimum score for zones, zone transparency and extension, live reaction zone, active reference band with its ATR size and transparency, active measurement highlight, level width, label size, label offset in ATR and label background transparency.
Panel - show/hide, position (six anchor points), Dark or Light theme, font size, optional guide row.
All numerical inputs carry professional English tooltips explaining their role, so the script can be tuned for any symbol, timeframe and trading style.
📘 HOW TO USE
1. Apply the script on an intraday timeframe. It is designed for intraday use and will stay passive on daily/higher timeframes.
2. Recommended starting timeframe is 4H for swing intraday context, and 1H for tactical intraday work. Lower timeframes (15m, 30m) work too but may produce dense output.
3. Start with the default settings. Observe which sessions and which reference levels generate the most Elite and Strong reactions on your symbol.
4. Use the panel to monitor the current state: last session, last reference, bias, score, tier, label filter, zone filter and the active reaction status.
5. Treat Elite (80+) and Strong (70-79) reactions as the main signals. Watch tier is informative and Weak tier is generally discarded.
6. Align with your own confluence: higher timeframe bias, structure, orderflow, or whatever your primary framework is. The script does not issue buy or sell calls - it scores reactions, and you decide.
⚠️ LIMITATIONS AND TRANSPARENCY
• This is not a strategy and does not place orders. No backtest statistics are implied.
• Reaction scores are computed after the evaluation window completes, so they are not repainting but are confirmed with a lag equal to the evaluation window size.
• The live reaction zone updates during the window and is finalized when the window closes.
• Session behavior varies significantly by symbol (crypto vs FX vs equities) and by volatility regime. Inputs should be tuned per symbol.
• Daily and Weekly references use standard request.security with barmerge.lookahead_off to avoid look-ahead bias.
• The script is not a forecasting tool. It is a post-event quantification of how price has just reacted to a known reference level.
🛡️ RISK DISCLOSURE
Trading involves substantial risk. Past reactions, patterns, zones or scores do not guarantee future performance. This script is provided for educational and analytical purposes only and is not financial advice. Always combine any tool with your own research, a defined risk plan and proper position sizing. You are solely responsible for your trading decisions. インジケーター
Repricing Belt Engine [AGPro Series]Repricing Belt Engine
🔹 OVERVIEW
Repricing Belt Engine identifies qualifying displacement impulses and constructs ATR-scaled repricing belts around the impulse body, then tracks each belt's first-revisit lifecycle through three discrete outcomes: Held, Rejected, and Broken. The engine turns raw impulse candles into structured, evaluable reaction zones — giving traders a clean framework for studying how price behaves when it returns to the scene of a decisive move.
Unlike generic supply/demand or order block tools, this indicator does not simply mark impulse zones and leave them on the chart indefinitely. Every belt has a full state machine: Active → first qualifying touch → terminal outcome. A top-right status panel summarizes active belts, current belt context, 50-bar directional bias, and outcome counts so the chart context is always one glance away.
🔸 UNIQUE EDGE
Most displacement or supply/demand indicators stop at drawing a box. Repricing Belt Engine differentiates itself with four specific mechanics:
• ATR-scaled geometry — Belt width is normalized by ATR (not raw body size), producing consistently visible zones across volatility regimes and symbols. Optional "Auto (Body)" and "Body 70%" modes are available for traders who prefer tighter constructions.
• Three-outcome lifecycle model — Every belt resolves into one of five states (Active, Held, Rejected, Broken, Expired) based on penetration depth and close position. No more static zones cluttering the chart after price has decisively moved on.
• Depth-gated touch qualification — Wick-grazing does not trigger state transitions. A revisit must penetrate the belt by a configurable minimum depth (ATR-relative) before it counts, filtering noise from meaningful reactions.
• Excursion-tolerant hold detection — A belt can be marked Held even when price briefly dips beyond it, as long as the close respects the belt and the excursion stays within the Hold Tolerance band. This matches how institutional levels actually react in live markets.
🔹 METHODOLOGY
1. Impulse Qualification: A bar qualifies as an impulse when its body magnitude exceeds Impulse Threshold × ATR AND its body-to-range ratio is at least Min Body / Range Ratio. Both gates must pass — this filters out long-wick bars that look decisive but are not.
2. Belt Construction: On a qualifying impulse, a belt is drawn using the selected Width Mode. In ATR Scaled mode (default), the belt is centered on the impulse body midpoint and spans ±ATR Width Half-Span × ATR. A mid-line is drawn through the belt center.
3. Cooldown: A minimum bar gap (Cooldown Between Belts) is enforced between consecutive belt formations, preventing rapid clustering in extended trends.
4. Lifecycle Tracking: On every confirmed close, each active belt is evaluated:
• If close breaches the belt with excursion beyond Reject Tolerance → Broken
• If close recovers but excursion exceeded Hold Tolerance → Rejected
• If close respects the belt after a qualifying touch → Held
• If no resolution within Belt Max Lifetime bars → Expired
5. Active Cap: A maximum number of concurrent active belts is enforced (Max Active Belts). When the cap is reached, the oldest active belt is auto-expired to keep the chart focused on the current narrative.
🔸 SIGNALS & ALERTS
On-chart visuals:
• Bull/Bear belt zones with ATR-scaled width and mid-line
• Impulse origin markers (small triangles) anchoring each belt to its source bar
• State-colored labels at resolution: Held OK (state color), Broken X (opposite state color), Rejected (neutral, shown only in Detailed label mode)
• Faded rendering for resolved belts so the active story stays visually dominant
Top-right status panel:
• Active belt count
• Current belt context (side, position, held flag)
• 50-bar directional bias (Bull UP / Bear DN / Neutral)
• 50-bar outcome counts (Held / Rejected / Broken)
Alert conditions:
• Repricing Belt Formed
• Belt Touched (first qualifying revisit)
• Belt Held
• Belt Rejected
• Belt Broken
🔹 KEY INPUTS
Engine
• Impulse Threshold (x ATR) — impulse size gate
• Min Body / Range Ratio — decisive-close gate
• ATR Length — volatility normalization period
• Cooldown Between Belts — anti-clustering filter
Belt
• Width Mode — ATR Scaled / Auto (Body) / Body 70%
• ATR Width Half-Span — belt half-width in ATR units
• Belt Max Lifetime — auto-expiry age
• Max Active Belts — concurrent belt cap
State Thresholds
• Min Touch Depth (x ATR) — qualifying penetration
• Hold Tolerance (x ATR) — clean-hold excursion ceiling
• Reject Tolerance (x ATR) — rejected-vs-broken threshold
Visuals
• Label Mode — Clean / Detailed
• Panel Font Size, Label Font Size
• Show Impulse Markers toggle
🔸 HOW TO USE
1. Apply to any symbol and timeframe. The engine is timeframe-agnostic and self-calibrates via ATR.
2. Watch for new belt formations on displacement impulses. The impulse marker confirms the origin bar.
3. When price returns, observe the lifecycle resolution: Held reactions often mark continuation points; Broken reactions frequently signal structural shifts.
4. Use the 50-bar Bias readout for directional context — sustained one-sided belt formation suggests an active trend.
5. Combine with structure tools (swing highs/lows, trendlines) for confluence. The belt is a reaction zone, not a standalone entry system.
6. Tune Impulse Threshold per timeframe: lower values (1.5–1.7) for intraday, higher (1.8–2.2) for swing.
🔹 LIMITATIONS & TRANSPARENCY
• This indicator is not a strategy and does not generate buy/sell signals. It is an analytical visualization tool.
• Belt outcomes are historical observations, not predictions. Past Held/Broken patterns do not guarantee future reactions.
• Performance varies by symbol, timeframe, and market regime. Always test parameter settings on the instruments you trade.
• Very low-liquidity or gappy symbols may produce noisy impulses. Increase Impulse Threshold or Min Body Ratio for cleaner selection.
• The Max Active Belts cap intentionally limits chart information to keep focus on the current context — raise it only if your workflow benefits from longer belt history.
⚠️ RISK DISCLOSURE
This script is provided for educational and analytical purposes only. It is not financial advice and does not constitute a recommendation to buy, sell, or hold any asset. Trading involves substantial risk of loss. Always conduct your own analysis, manage risk responsibly, and never trade with capital you cannot afford to lose. Past performance of any pattern or setup is not indicative of future results.
Published as Public / Open-source under Mozilla Public License 2.0. インジケーター
