[DarkTrader] Classic Swipe (DW)Classic Swipe (DW) indicator is a highly customizable tool designed to visualize key price zones and liquidity sweeps on a daily and weekly basis. This script uses advanced plotting features like boxes, labels, and color-coded zones to help traders identify critical market structures such as daily/weekly high-low ranges and bullish or bearish swipes (previous daily high/low levels).
Key Features :
Daily Zone Box: Marks and tracks the high-low range for each trading day. Provides clear visual representation of price action within the daily range.
Weekly Zone Box: Highlights weekly high-low ranges, giving insight into longer-term support and resistance areas.
Bullish and Bearish Daily Swipes: Detects and marks sweeps of previous daily highs (bullish) or lows (bearish) with custom colors and transparency settings.
Customization: Toggle between displaying weekly and daily zones, adjust box colors and transparency, and fine-tune the appearance to match your preferences.
How to Use :
Daily Zone Box: Use this feature to identify key areas of daily price consolidation or breakout, providing intraday support/resistance zones.
Weekly Zone Box: Longer-term traders can leverage the weekly zone box to track broader market trends and prepare for potential swing trade setups.
Daily Swipes: The bullish and bearish swipe detection helps in spotting liquidity grabs or stop hunts, aiding in precise entry/exit decisions based on liquidity pools.
Indicator In Use :
Whether you're a day trader looking for intraday levels or a swing trader focusing on broader trends, this tool can help enhance your analysis by providing clear visual aids for market structure and liquidity events.
Search in scripts for "liquidity"
[AlbaTherium] OptiStruct™ Premium for Smart Money Concepts An Insight into Structure Mapping and Order Block Identification with Smart Money Concepts
Introduction:
Structure Mapping & Demands and Supplies Premium serves as a fundamental pillar in the realm of Smart Money Concepts . This indicator adeptly charts the market structure based on a refined version of SMC while identifying Order Blocks. All the concepts embedded in this method are meticulously defined, offering users the ability to chart the market structure with precision and heightened confidence. With this indicator, there is no need for excessive questioning of the accuracy of your markings; it diligently strives to perform this task effectively. There are no hidden 'magic' properties underlying this indicator, ensuring that our users can independently verify each and every feature. It is this commitment to transparency that sets us apart and makes us unique in the market.
In this discussion, we delve into the intricacies of Break of Structure, Change of Character , and SMART MONEY TRAP . We also introduce the concepts of Extreme Order Blocks, Decisional Order Blocks , and Smart Money Trap Order Blocks .
Chapter 1: Understanding Structure Mapping:
Let's begin with some definitions:
- Inside bars are candles that lie within the range of a preceding candle.
- Pullbacks occur in an uptrend when the low of a preceding candle's range (excluding inside bars ) is breached, and the price continues to rise.
- Inducements (IDM) are price levels defined as the low of the latest pullback before the most recent high. They often act as liquidity points that the market revisits before continuing its move.
Break of Structure (BoS):
In an uptrend, after surpassing an IDM , the most recent high becomes a Confirmed structure high, or a Major High . If the price then closes above this Major High, a Bullish Break of Structure (Bullish BoS) is confirmed. Similarly, the lowest point between these movements becomes a Confirmed structure low or Major Low in a downtrend.
Change of Character (ChoCh):
In an uptrend, if the price falls below a Major Low, it indicates a shift in market bias from Bullish to Bearish, or a Bearish Change of Character .
Example of a bullish ChoCh:
Chapter 2: The Significance of Order Blocks:
Order Blocks (OB) play a pivotal role in Smart Money Concepts during entry points. Understanding what they represent and how to identify them is essential. For a Bullish/Bearish Order Block to be confirmed, specific conditions, including price imbalance and breaching the previous candle's high or low, must be met. We will delve into the finer details of identifying and trading Order Blocks, with an emphasis on the fact that price often reacts from Decisional Order Blocks, Extreme Order Blocks , and Smart Money Trap Order Blocks .
An OB is the initial candle range of a pullback that creates a Fair value gap.
These are zones where proactive traders enter the market, resulting in significant price changes indicated by Fair value gaps. It is believed that when the price revisits these zones in the future, it tends to bounce back. This property makes Order Blocks excellent potential entry points.
Order Blocks are categorized as follows:
- Extreme OB : The first and lowest OB between the Major Low and Major High.
- Decisional OB : The most recent OB lower than the current IDM.
- Smart Money Traps : All OBs between Extreme and Decisional OB.
- Demand above IDM / Supply below IDM
Chapter 3: Understanding SMART MONEY TRAP (SMT):
SMART MONEY TRAP is a concept that brings clarity to the distinction between Structure and Order Blocks within Smart Money Concepts and is a unique feature of this indicator. While many Smart Money Traders base their trades on Structure and Order Blocks, it's crucial to recognize that Order Blocks serve as an additional confirmation for buy or sell decisions. Blindly trading based on Order Blocks is not advisable. Instead, traders should exercise patience and await other confirmations like inducement or Liquidity sweep before executing trades on Order Blocks. We will illustrate how this concept works in practice.
In the example above, the market made a high wick up, taking out the buy-side liquidity, then made a bearish ChoCh. We place our sell order on the order block above IDM. This presents a promising trading opportunity, with a stop loss placed above the OB and a take profit set at the low of previous structure.
Conclusion:
Structure Mapping & Demands and Supplies Premium as the epitome of Smart Money Concepts, presenting traders with a tool meticulously crafted for an exceptional user experience . This indicator integrates structural mapping and Order Blocks, providing not only a wealth of knowledge but a platform tailor-made for personalization to suit your unique style and preferences. By mastering the nuances of Impulsive Moves and Corrections, and expertly identifying and trading Order Blocks while considering the SMART MONEY TRAP, traders gain a distinct advantage in the ever-evolving financial markets.
This document serves as an enriching guide to Structure Mapping & Demands and Supplies Premium, accentuating its pivotal role within the Smart Money Concepts framework. We invite users to immerse themselves in an experience that transcends the ordinary, delving into the intricacies that define successful trading. As you navigate the complexities of the market, these detailed insights become your compass, providing a rich and customizable user experience that unlocks the full potential of Smart Money Concepts. Embrace these tools judiciously, and empower your daily analysis with a wealth of information that truly holds its weight in gold.
SPX Fair Value Bands V2An updated version of the SPX Fair Value Bands script from dharmatech and based on the net liquidity concept by MaxJAnderson .
Now with full customization of parameters through the settings (Dialog Box) and allowing the options to the use of
1) Standard Bands based on Offsets of the Fair Value
2) Bollinger Bands
3) Keltner Channels
to better capture buy/sell areas rather than relying on noisy unreliably (and unevenly) updated data from the Treasury/Fed.
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Net Liquidity's importance in the new post-COVID QE to QT regime as described MaxJAnderson
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" In past cycles, size of Fed's balance sheet changed a lot, while TGA and RRP changed relatively little. So size of balance sheet roughly equated Net Liquidity.
(The Treasury General Account) TGA and (Reverse Repo) RRP didn't matter. They were rounding errors by comparison.
But starting in 2020, relative changes in TGA and RRP have been THREE TIMES LARGER than the change in size of the Fed's balance sheet. As result, changes in TGA and RRP have taken over as the primary drivers Net Liquidity.
This is new, and changes the game significantly. Again - the size of the Fed's balance sheet doesn't matter.
What matters is the portion of it that's available to circulate in the economy (Net Liquidity).
And ever since 2020, the Treasury and Reverse Repo have become what controls that. Not the size of Fed's balance sheet.
----------------
The idea that follows is simple,short when $SPX reaches extreme levels of overvaluation, and close out when SPX returns to being undervalued. Here's the formulas I currently use to determine fair value:
Fair Value = (Fed Bal Sheet - TGA - RRP)/1.1 - 1625
And here's the trading rules I currently follow:
Short when diff of $SPX - Fair Value > 350
Close when diff of $SPX - Fair Value < 150
When one of these rules is triggered upon market close on a given day, trades are entered at open of the following day "
Smart Money Concepts [Kodexius]Smart Money Concepts is a price action framework designed to integrate market structure, liquidity behavior, and inefficiencies into a single, readable view. Rather than acting as a signal generator, it serves as a live market map highlighting where price has displaced, where liquidity may be resting, which zones remain valid, and how that context updates as new candles print.
What separates this script from typical “SMC bundles” is not the presence of familiar concepts like swings, order blocks, FVGs or liquidity sweeps. The value is in the engine design and how the components are maintained together as a consistent state, with automatic pruning and prioritization so the chart stays usable over time. Many tools can draw boxes, but fewer tools manage the lifecycle of those zones, reduce overlap, rank relevance, and keep the display focused on what still matters near current price.
At the core is a structure model that tracks directional state and labels structural transitions as they happen. CHoCH and BoS are not just printed whenever price crosses a line. Each event is anchored to a swing reference and handled in a way that reduces repeated triggers from the same context, helping you see genuine transitions versus minor noise. This gives structure a “narrative” across time instead of a cluttered sequence of identical labels.
Order blocks are built from the most relevant candle within the post break window and displayed as true zones that extend forward while they remain valid. Beyond the zone itself, the script adds context that is usually missing in basic OB implementations: a volumetric pressure visualization and a displacement strength score that is normalized and ranked over a rolling window. In practice, this creates an information hierarchy. You can quickly see which zones carried more participation, whether the internal push was dominated by buying or selling pressure, and whether the move that created the zone had meaningful displacement relative to recent history. This is designed to help prioritization, not to claim prediction.
Imbalances are handled as a dedicated module with multiple detection modes (FVG, VI, OG, IFVG) and optional MTF logic so you can map inefficiencies from a higher timeframe while executing on a lower timeframe. Each imbalance is displayed as a zone with a midline reference, and mitigation behavior can be tuned (wick or close). IFVG adds lifecycle depth by tracking inversion behavior rather than simply deleting the zone, which can be useful for monitoring how price rebalances and flips inefficiencies over time. An optional sentiment style internal fill is available for visual context, but it is intentionally framed as informational rather than a “buy/sell meter.”
Liquidity is treated as an event driven layer. Pivot highs and lows are tracked as potential liquidity pools, then monitored for sweeps and rejection behavior. If you enable EQH/EQL logic, the script can label equal highs and lows during the sweep process to highlight common resting liquidity formations. A volume filter is available to reduce low quality levels, aiming to keep the liquidity map focused on swings that occurred with meaningful participation rather than every small fluctuation.
Swing Failure Patterns (SFP) are included as a separate confirmation style tool that focuses on rejection after liquidity is taken. The module supports optional volume validation using lower timeframe volume distribution outside the swing level, which helps filter some low quality SFPs on noisy instruments. The output is a cleaner set of events intended to complement structure, liquidity and zones, not replace discretionary decision making.
For higher timeframe context, the HTF candle projection panel can display a compact set of higher timeframe candles to the right of current price, with classic or Heikin Ashi style and configurable sizing, spacing and labels. This allows you to maintain HTF awareness without switching charts, which is especially helpful when structure and zones are being interpreted across multiple timeframes.
Finally, the alert framework is designed around well defined structural and zone states. Alerts cover structural shifts (CHoCH, BoS), liquidity sweeps, new and broken order blocks, breaker behavior (if enabled), new and approached imbalances, premium and discount entries, trendline events, and SFP detection. These alerts are intended as monitoring prompts so you can review context, not as automated trade execution signals.
Every major component is modular and configurable. You can run a minimal structure only layout or enable a full framework with zones, imbalances, liquidity, SFP and HTF projection. The guiding principle is chart clarity and relevance: keep the most important information visible, reduce overlap and stale objects, and maintain a consistent view of how price is interacting with liquidity and value over time.
🔹 Features
🔸 Market Structure Engine (CHoCH and BoS)
This script automatically tracks zigzag based market structure and differentiates between:
CHoCH (Change of Character) : the first meaningful structural shift that suggests the prior directional leg is weakening.
BoS (Break of Structure) : continuation breaks that confirm structure extension in the active direction.
Instead of relying on plain pivot dots, our market structure swings are built with a lightweight zigzag style engine that tracks direction and “locks in” the true leg extreme only when the leg flips. This produces cleaner, more consistent swing highs/lows for BOS/CHoCH than simple left/right pivot checks.
Bullish CHoCH:
Bearish CHoCH:
Bullish BoS:
Bearish BoS:
🔸 Order Blocks with Volumetric and Displacement Insight
The script identifies recent bullish and bearish order block zones around meaningful structural reactions and keeps the display focused on the most relevant areas. Instead of drawing a static rectangle and leaving it there forever, each zone is maintained as an active region on the chart and can be limited by a user defined visibility depth to avoid clutter. When enabled, the overlay also adds compact volume based context inside the block so you can quickly compare relative participation between recent zones and see whether the origin move showed strong follow through versus a softer transition. The intention is to provide structured context and cleaner prioritization on the chart, not to present a trade call or a guaranteed reaction level.
Bullish Order Block:
Bearish Order Block:
Order blocks are derived from the structure shifts, marking the institutional “origin zone” behind a decisive move and projecting it forward as a live area of interest. In practice, it highlights the candle cluster where price last rebalanced before expanding away, so you can track potential retests with context instead of guessing.
Inside each order block, the internal bars act as a compact strength meter green vs red summarizes the relative bullish vs bearish participation, while the blue segment reflects the “departure force” (displacement/momentum) away from the zone. It’s meant to help you scan which blocks left clean and strong versus those that moved out more slowly or with mixed pressure.
🔸 Breaker Blocks & Mitigation Tracking
Tracks when previously identified order blocks fail and converts them into breaker blocks, visually marking a change in how price is interacting with that zone.
Bullish Breaker Block :
Bearish Breaker Block :
Separate handling of bullish and bearish breakers with clear color differentiation.
Includes optional “mitigation” logic using either wick or close to determine when a block is considered broken or mitigated.
Breaker blocks are updated and removed dynamically as price trades through them, keeping the chart focused on current, active zones.
🔸 Imbalances
The imbalance module maps common price inefficiencies as zones, with support for multiple detection styles such as Fair Value Gaps, volume style imbalances, opening gaps, and an inverted gap mode. Each imbalance is drawn as a practical area on the chart with a midpoint reference, so you can quickly see where price may be revisiting unbalanced movement. You can also choose how mitigation is evaluated (wick or close) and optionally run imbalance detection on a separate timeframe for cleaner higher timeframe context while staying on your execution chart.
Fair Value Gaps:
Inverse Fair Value Gaps:
Opening Gaps:
🔸 Liquidity Sweeps, EQH/EQL, and Optional Volume Filter
Liquidity levels are derived from swing highs and lows and then monitored for sweep behavior, where price trades beyond a prior level and rejects back. If you enable EQH/EQL marking, the script can highlight equal highs and equal lows behavior around those liquidity areas to make common pool formations easier to spot. An optional volume filter can be used to reduce tracking of low participation swings, helping keep the liquidity layer focused and less noisy on instruments that produce frequent small pivots.
Sellside Liquidity Sweep Definition:
Buyside Liquidity Sweep Definition:
Highlights equal highs (EQH) and equal lows (EQL) when sweeps occur, marking where price probed above/below prior liquidity and then rejected.
Optional volume filter to ignore low volume swings and focus on more meaningful liquidity zones.
🔸 Premium, Discount, and Equilibrium
The premium and discount view provides a simple contextual map of where price is trading within a measured range, alongside an optional equilibrium line as a midpoint reference. This is intended as a higher level framing tool to help you avoid treating every price location the same, especially when combining structure with reaction zones. Price labels can be enabled for quick orientation, and the display updates as the underlying range evolves.
Projects premium and discount bands based on a dynamically measured range, offering a simple view of where price is trading relative to that range.
Draws separate Premium and Discount boxes with optional price labels for quick orientation.
Optional mid line (equilibrium) to visualize the “50%” of the current range, often used as a reference for balanced versus extended price.
Zones auto update as the underlying range evolves, with logic to prevent stale levels from cluttering the chart.
🔸 Trend Channels
When enabled, the trend module draws swing based diagonal structure using trendlines and a channel style visualization. You can tune sensitivity and choose whether the source should be depending on how you prefer to read trend behavior. The channel is maintained dynamically so you can keep directional context without manually drawing and constantly adjusting diagonal lines, and the script can highlight basic break behavior when price pushes beyond the active diagonal reference.
🔸 Swing Failure Pattern (SFP) Detector
The SFP module highlights common swing failure behavior, where price briefly trades beyond a swing level and then reclaims it, often reflecting a liquidity grab followed by rejection. Bullish and bearish SFPs can be enabled independently, and the display is designed to keep the key level and the rejection visible without excessive clutter. Optional volume validation can be used as a filter, so you can choose whether you want the detector to be more permissive or more selective based on participation characteristics.
🔸 HTF Candle Projection Panel
The HTF panel projects a compact set of higher timeframe candles to the right of price, giving you higher timeframe context without switching charts. You can select classic candles or Heikin Ashi style, adjust the scale and spacing, and optionally display reference lines and labels for OHLC values. This is a visual context tool intended to support multi timeframe reading, not a replacement for your own higher timeframe analysis.
In addition to projecting higher timeframe candles, the HTF panel can also detect and visualize higher timeframe liquidity sweeps directly within the projected candle set. The script monitors each completed HTF candle’s high and low and evaluates subsequent HTF candles for sweep behavior i.e., when price briefly trades beyond a prior HTF extreme but fails to hold acceptance beyond it (filtered using the later candle’s body positioning). When a sweep is detected, the panel draws a dotted sweep line and marks the event, allowing you to spot HTF stop runs and failed breaks without switching timeframes. Sweeps are dynamically invalidated if a later HTF candle shows genuine acceptance beyond that level, ensuring the display stays context relevant and avoids stale markings. This turns the HTF projection from a passive visualization into an actionable context layer for identifying HTF liquidity events while executing on lower timeframes.
🔸 Alerts
Alerts are included for the most practical events produced by the overlay, such as structure shifts (CHoCH and BoS), liquidity sweeps, new and invalidated zones, price approaching recent zones, imbalance creation and mitigation, premium or discount entries, trendline events, and SFP detections. The alerts are designed to function as a monitoring layer so you can be notified when something changes in your mapped context, rather than acting as standalone trade instructions.
🔸 Originality & Usefulness
This script is not a collection of separate SMC drawings layered on top of price. It is built as a unified price action engine where market structure, order blocks, inefficiencies, and liquidity are produced from the same evolving state. That matters because most SMC indicators treat these concepts as independent overlays, which often leads to contradictory markings and excessive clutter. Here, the design priority is consistency and readability: modules update in sync, older elements are managed, and the chart stays usable during live conditions.
A key differentiator is the internal swing logic, which functions like a compact zigzag style structure engine. Instead of reacting to every minor fluctuation, it aims to focus on meaningful swing decisions and treat structure as a sequence. This reduces repetitive labeling and makes structural transitions easier to follow. Structure events are anchored to the swing that defined them and are designed to trigger in a clean, non spammy way, which is critical for anyone who uses structure as a workflow backbone.
The structure layer is intentionally narrative oriented. It separates a transition event from continuation events, so CHoCH is used to highlight the first meaningful shift after an established leg, while BoS is used to mark follow through in the same direction. This is not a prediction claim. It is a clarity feature that helps users read “phase changes” versus “continuation” without constantly second guessing whether the script is just printing noise.
Order blocks are where this script becomes especially distinctive compared to typical SMC tools. Instead of drawing identical rectangles, each block is rendered with an internal gauge that communicates participation and directional dominance at a glance. The zone is visually segmented to reflect bullish and bearish pressure components, and it also carries a volume readout plus a relative weight compared to other recent blocks. This creates a ranked view of blocks rather than an unfiltered pile. In practice, you can prioritize zones faster because the script surfaces which blocks had more meaningful participation and whether the internal push looked one sided or mixed. The result is less subjective filtering and a cleaner chart.
Imbalances are handled as structured inefficiency zones with clear references and optional context. Beyond drawing the zone and midpoint, the script can overlay a sentiment style gauge that divides the imbalance into bullish and bearish portions and updates as new data comes in. The practical value is that you can see whether an inefficiency remains strongly one sided or is gradually being balanced. This turns imbalances from static boxes into a living context layer, which is particularly useful when you monitor reactions over time instead of treating every touch the same.
Liquidity is treated as an event driven tracking system rather than simple pivot plotting. Liquidity pools are identified from swing behavior and can be gated through a participation filter so the script focuses on levels that formed with meaningful activity rather than low quality noise. Once tracked, levels are monitored for outcomes like sweeps and equal high/low behavior, and then updated or retired when they are decisively resolved. This prevents the display from accumulating stale levels and keeps the liquidity layer focused on what is still relevant now.
Swing failure patterns are integrated as selective events rather than continuous spam. The intent is to produce fewer but more structurally meaningful SFPs, aligned with the liquidity narrative, instead of printing clusters around the same price area. This keeps the pattern readable and reinforces the “event based” design philosophy across the script.
Higher timeframe context is supported through a compact HTF projection panel that provides quick orientation without forcing constant timeframe switching. It lets you see where current price action sits inside a larger timeframe candle and range, which helps maintain consistency when you are executing on a lower timeframe but respecting higher timeframe structure.
Disclaimer: This indicator is for educational and analytical purposes only. It does not provide financial advice, and it does not guarantee results.
🔹 How to Use
This tool is designed to support multiple trading styles, but it is most effective when you treat it as a top down mapping and decision support tool. A practical workflow looks like this.
1) Establish higher timeframe bias and context
Start on your reference timeframe such as H4 or Daily and read the market’s dominant story first. Use the Market Structure Engine to identify whether the market is in continuation mode or transition mode. The goal is to avoid executing lower timeframe ideas that conflict with the larger structure narrative.
Use the HTF Candle Projection Panel as a fast orientation aid. It helps you judge whether current price is building acceptance near the highs of the larger candle, rotating back toward its open, or rejecting from its extremes. This is especially useful when you execute on lower timeframes but want to stay aligned with higher timeframe positioning.
Add Premium and Discount framing to understand location. When price is trading in premium, continuation longs are often more selective and require stronger confirmation, while shorts may have better location if structure supports it. When price is in discount, the opposite applies. Treat this as location context, not a rule.
2) Map your key reaction zones with prioritization
Next, build your map of where reactions are most likely to occur. Enable Order Blocks with Volumetric Insight to highlight the most relevant origin zones that form after important structure events. Keep your focus on the most recent blocks and adjust the visible depth so the chart stays clean.
Use the internal gauge and participation readouts to prioritize. Instead of treating every zone as equal, treat higher participation blocks as primary candidates and lower participation blocks as secondary. The bullish and bearish split inside the gauge helps you quickly judge whether the zone formed from a clearly one sided push or a more mixed move, which can inform how strict you want to be with confirmation on a retest.
If you use Breaker Blocks, treat them as role shift zones. They are especially useful when the market has clearly transitioned and you want to track where a previously defended origin area may become a meaningful retest level later.
3) Layer in inefficiencies only where they add clarity
If your workflow includes imbalances, add them selectively to avoid visual overload. Use Fair Value Gaps, Volume Imbalances, or Opening Gaps as secondary reaction areas that often sit inside, near, or between larger zones.
If you enable the internal sentiment gauge, read it as context rather than a signal. It is meant to help you see whether the imbalance remains one sided or has started to balance out as price develops. A strongly one sided presentation can support the idea of continuation through the zone, while a more balanced presentation can support the idea of deeper mitigation or chop. Use it to refine expectations, not to force entries.
4) Track liquidity as events, not as static levels
Enable Liquidity Sweeps and EQH/EQL tagging to highlight where resting liquidity is likely concentrated and when it gets taken. The main value here is narrative: you can see when price runs obvious highs or lows and whether it immediately rejects back into structure or accepts beyond the level.
If you use the volume filter, treat it as a quality gate. The point is to ignore small, low participation swings and keep the liquidity layer focused on levels that formed with meaningful activity. This tends to reduce noise and makes sweeps and equal level behavior more relevant.
Combine the liquidity layer with the Swing Failure Pattern detector to isolate moments where liquidity is taken and then rejected. The cleanest use is when SFPs occur at or near your pre mapped reaction zones, after a sweep, and in alignment with your higher timeframe bias.
5) Refine execution timing on your entry timeframe
Drop to your execution timeframe and use local structure shifts as timing tools. CHoCH and BoS on the lower timeframe can help you see when micro structure is flipping in your intended direction after price interacts with your mapped zone.
If you use the Trend Channel framework, treat it as diagonal context rather than strict support and resistance. A channel helps you see where price is riding the trend and where it is deviating. This can help you time entries by waiting for price to re enter the corridor, show rejection near a boundary, or confirm a shift by building structure outside the channel.
A common practical sequence is: price reaches a mapped OB or imbalance area, liquidity gets taken, price rejects, micro structure begins to flip, and then you execute with your own confirmation and risk rules. The tool helps you see each step clearly, but your plan determines what is sufficient confirmation.
6) Use alerts as monitoring, not as standalone signals
Set alerts only for events that are meaningful to your workflow, such as:
-fresh CHoCH or BoS in your preferred direction
-new or invalidated order blocks and breaker blocks
-price approaching the most recent priority zones
-liquidity sweeps and EQH/EQL interactions
-new SFP events
-entry into premium or discount and interaction with HTF projection levels
-imbalance creation, mitigation, or approach
Treat alerts as prompts to check the chart, not as automatic entries or exits. This script is designed as a mapping and decision support tool. Trade execution, confirmation, and risk management remain entirely dependent on your own strategy and discretion.
🔴 Price Action Practical Notes
💠 Market structure
Market structure is the framework used to describe how price organizes itself into swings. It is built from successive swing highs and swing lows, and it is used to decide whether the market is expanding upward, expanding downward, or transitioning. A practical structure model focuses on “meaningful” turning points rather than every minor fluctuation, because the goal is to capture intent and flow, not noise.
💠 Swing highs and swing lows
A swing high is a local peak where price stops advancing and begins to rotate lower, while a swing low is a local trough where selling pressure pauses and price rotates higher. Swings matter because many traders anchor risk, liquidity, and entries around them. The stronger the reaction away from a swing, the more likely it is to be referenced again as a decision point.
💠 Break of structure
A break of structure is the event where price decisively exceeds a prior swing in the direction of the prevailing move. In practice, it is used as confirmation that a directional leg is still active and that liquidity resting beyond the swing has been taken. This concept is less about predicting and more about validating continuation.
💠 Change of character
A change of character is a structural break that signals transition rather than continuation. Instead of breaking a swing in the same direction as the recent trend, price breaks a key swing in the opposite direction, suggesting that control may be shifting. It is often treated as an early warning that the market may be moving from continuation into reversal or deeper pullback conditions.
💠 Order blocks
An order block is commonly described as the last opposing candle or consolidation zone that precedes a strong directional expansion. The idea is that this area represents a footprint of aggressive execution and unfilled interest. When price revisits it later, it can act as a reaction zone because participants who missed the move may defend it, or because remaining orders may still exist there.
💠 Mitigation and invalidation of a zone
Mitigation describes the process of price returning to a zone and “consuming” the remaining interest there. A zone is typically considered invalidated when price trades through it in a way that implies the resting orders were absorbed and the area no longer has protective value. Some approaches treat a wick through the boundary as enough to invalidate, while others require a candle close beyond the boundary to confirm that the level has truly failed.
💠 Breaker blocks
A breaker block is an order block concept that changes role after being invalidated. When a previously respected zone fails, it can later become a reaction area in the opposite direction because trapped participants may use the retest to exit, or because the market may recognize it as a new supply or demand reference. Breakers are often treated as “failed zones that become liquidity magnets” and are closely watched on retests.
💠 Liquidity and liquidity pools
Liquidity is the availability of resting orders that allow large transactions to execute with minimal slippage. In chart terms, liquidity pools often form around obvious swing highs and lows, equal highs and lows, and clear ranges. These areas attract price because they contain clustered stops and entries that can be used to fuel continuation or trigger reversals through rapid order flow shifts.
💠 Liquidity sweeps
A liquidity sweep is a move where price briefly trades beyond a known liquidity pool and then returns back inside, often closing back within the prior range. The concept implies that stops were triggered and liquidity was captured, but that continuation beyond the swept level did not sustain. Sweeps are frequently used as context for reversals or for confirming that a “cleanout” occurred before a directional move.
💠 Equal highs and equal lows
Equal highs and equal lows describe repeated swing levels that form a flat or nearly flat top or bottom. They matter because they concentrate liquidity. Many traders place stops just beyond these repeated levels, and many breakout traders place entries around them. The result is a dense cluster of orders that can be targeted efficiently by price.
💠Imbalances and inefficiencies
Imbalances represent zones where price moved so quickly that it left behind inefficient trading, meaning fewer transactions occurred in that region compared to surrounding areas. The underlying idea is that markets often revisit these areas to rebalance, fill gaps, or complete unfinished business. Imbalances are treated as areas of interest for pullback entries, targets, or reaction zones.
💠 Fair value gap
A fair value gap is a specific form of imbalance commonly framed as a three candle displacement that leaves a gap between candles, indicating rapid repricing. Traders use it as a proxy for inefficiency: if price returns, it may partially or fully fill the gap before continuing. The midpoint of the gap is often treated as a particularly relevant reference, but whether price respects it depends on context.
💠 Inverted fair value gap
An inverted fair value gap is the idea that once an imbalance is “broken” in a meaningful way, the zone can flip its behavior. Instead of acting like a supportive zone, it may become resistive (or vice versa) on a later retest. Conceptually, this is similar to role reversal: what once behaved as a continuation aid can become a rejection zone after failure.
💠 Premium, discount, and equilibrium
Premium and discount describe where price sits relative to a defined recent range. Premium is the upper portion of that range and discount is the lower portion. Equilibrium is the midpoint. The concept is mainly used to align trade direction with location: buying is generally more attractive in discount and selling is generally more attractive in premium, assuming you are trading mean reversion within a range or seeking favorable risk placement within a broader trend.
💠 Swing failure pattern
A swing failure pattern is a reversal archetype where price breaks a known swing level, fails to hold beyond it, and returns back through the level. The logic is that the breakout attempt attracted orders and triggered stops, but the market rejected the extension. SFPs are often considered higher quality when the failure is followed by a decisive move away and when it aligns with a broader liquidity narrative.
💠 Higher timeframe context
Higher timeframe context means framing intraday or lower timeframe signals within the structure of a larger timeframe. This can include aligning trades with higher timeframe swings, using higher timeframe candles as reference for open/high/low behavior, and avoiding taking counter trend signals when the larger timeframe is strongly directional. The purpose is to improve signal quality by ensuring the smaller timeframe idea is not fighting a dominant larger flow.
💠 Trend channels
A trend channel is a structured way to visualize a market’s directional “lane” by framing price between two roughly parallel boundaries. The central idea is that trending price action often oscillates in a repeatable corridor: pullbacks tend to stall around one side of the lane, while impulses tend to extend toward the opposite side. Instead of treating trend as a single line, a channel treats trend as an area, which better reflects real market behavior where reactions occur in zones rather than at perfect prices.
A channel typically has three functional references: a guiding line that represents the prevailing slope, an upper boundary that approximates where bullish expansions tend to stretch before mean reversion, and a lower boundary that approximates where bearish pullbacks tend to terminate before continuation. The space between boundaries represents the market’s accepted path. When price stays inside this corridor, the trend is considered healthy. When price repeatedly fails to progress within it, the trend is weakening.
Channels are commonly used for timing and location. In an uptrend channel, pullbacks into the lower portion of the corridor are often treated as higher quality “location” for continuation attempts, while pushes into the upper portion are treated as extension territory where risk of a pause or retracement increases. In a downtrend channel, the logic is mirrored: rallies into the upper portion are often treated as sell side location, and moves into the lower portion are treated as extension territory. The channel does not predict direction by itself; it provides a disciplined map for where continuation is more likely versus where momentum is more likely to cool.
A key concept is acceptance versus deviation. If price briefly pierces a boundary and snaps back inside, that is often interpreted as a deviation, meaning the market tested outside the lane but did not accept it. If price holds outside the corridor and begins to build new swings there, that suggests acceptance and a potential regime change: either a new channel with a different slope, a shift into range, or a broader reversal context. This is why channels are most useful when you treat them as a framework for evaluating behavior, not as rigid support and resistance.
SMC N-Gram Probability Matrix [PhenLabs]📊 SMC N-Gram Probability Matrix
Version: PineScript™ v6
📌 Description
The SMC N-Gram Probability Matrix applies computational linguistics methodology to Smart Money Concepts trading. By treating SMC patterns as a discrete “alphabet” and analyzing their sequential relationships through N-gram modeling, this indicator calculates the statistical probability of which pattern will appear next based on historical transitions.
Traditional SMC analysis is reactive—traders identify patterns after they form and then anticipate the next move. This indicator inverts that approach by building a transition probability matrix from up to 5,000 bars of pattern history, enabling traders to see which SMC formations most frequently follow their current market sequence.
The indicator detects and classifies 11 distinct SMC patterns including Fair Value Gaps, Order Blocks, Liquidity Sweeps, Break of Structure, and Change of Character in both bullish and bearish variants, then tracks how these patterns transition from one to another over time.
🚀 Points of Innovation
First indicator to apply N-gram sequence modeling from computational linguistics to SMC pattern analysis
Dynamic transition matrix rebuilds every 50 bars for adaptive probability calculations
Supports bigram (2), trigram (3), and quadgram (4) sequence lengths for varying analysis depth
Priority-based pattern classification ensures higher-significance patterns (CHoCH, BOS) take precedence
Configurable minimum occurrence threshold filters out statistically insignificant predictions
Real-time probability visualization with graphical confidence bars
🔧 Core Components
Pattern Alphabet System: 11 discrete SMC patterns encoded as integers for efficient matrix indexing and transition tracking
Swing Point Detection: Uses ta.pivothigh/pivotlow with configurable sensitivity for non-repainting structure identification
Transition Count Matrix: Flattened array storing occurrence counts for all possible pattern sequence transitions
Context Encoder: Converts N-gram pattern sequences into unique integer IDs for matrix lookup
Probability Calculator: Transforms raw transition counts into percentage probabilities for each possible next pattern
🔥 Key Features
Multi-Pattern SMC Detection: Simultaneously identifies FVGs, Order Blocks, Liquidity Sweeps, BOS, and CHoCH formations
Adjustable N-Gram Length: Choose between 2-4 pattern sequences to balance specificity against sample size
Flexible Lookback Range: Analyze anywhere from 100 to 5,000 historical bars for matrix construction
Pattern Toggle Controls: Enable or disable individual SMC pattern types to customize analysis focus
Probability Threshold Filtering: Set minimum occurrence requirements to ensure prediction reliability
Alert Integration: Built-in alert conditions trigger when high-probability predictions emerge
🎨 Visualization
Probability Table: Displays current pattern, recent sequence, sample count, and top N predicted patterns with percentage probabilities
Graphical Probability Bars: Visual bar representation (█░) showing relative probability strength at a glance
Chart Pattern Markers: Color-coded labels placed directly on price bars identifying detected SMC formations
Pattern Short Codes: Compact notation (F+, F-, O+, O-, L↑, L↓, B+, B-, C+, C-) for quick pattern identification
Customizable Table Position: Place probability display in any corner of your chart
📖 Usage Guidelines
N-Gram Configuration
N-Gram Length: Default 2, Range 2-4. Lower values provide more samples but less specificity. Higher values capture complex sequences but require more historical data.
Matrix Lookback Bars: Default 500, Range 100-5000. More bars increase statistical significance but may include outdated market behavior.
Min Occurrences for Prediction: Default 2, Range 1-10. Higher values filter noise but may reduce prediction availability.
SMC Detection Settings
Swing Detection Length: Default 5, Range 2-20. Controls pivot sensitivity for structure analysis.
FVG Minimum Size: Default 0.1%, Range 0.01-2.0%. Filters insignificant gaps.
Order Block Lookback: Default 10, Range 3-30. Bars to search for OB formations.
Liquidity Sweep Threshold: Default 0.3%, Range 0.05-1.0%. Minimum wick extension beyond swing points.
Display Settings
Show Probability Table: Toggle the probability matrix display on/off.
Show Top N Probabilities: Default 5, Range 3-10. Number of predicted patterns to display.
Show SMC Markers: Toggle on-chart pattern labels.
✅ Best Use Cases
Anticipating continuation or reversal patterns after liquidity sweeps
Identifying high-probability BOS/CHoCH sequences for trend trading
Filtering FVG and Order Block signals based on historical follow-through rates
Building confluence by comparing predicted patterns with other technical analysis
Studying how SMC patterns typically sequence on specific instruments or timeframes
⚠️ Limitations
Predictions are based solely on historical pattern frequency and do not account for fundamental factors
Low sample counts produce unreliable probabilities—always check the Samples display
Market regime changes can invalidate historical transition patterns
The indicator requires sufficient historical data to build meaningful probability matrices
Pattern detection uses standardized parameters that may not capture all institutional activity
💡 What Makes This Unique
Linguistic Modeling Applied to Markets: Treats SMC patterns like words in a language, analyzing how they “flow” together
Quantified Pattern Relationships: Transforms subjective SMC analysis into objective probability percentages
Adaptive Learning: Matrix rebuilds periodically to incorporate recent pattern behavior
Comprehensive SMC Coverage: Tracks all major Smart Money Concepts in a unified probability framework
🔬 How It Works
1. Pattern Detection Phase
Each bar is analyzed for SMC formations using configurable detection parameters
A priority hierarchy assigns the most significant pattern when multiple detections occur
2. Sequence Encoding Phase
Detected patterns are stored in a rolling history buffer of recent classifications
The current N-gram context is encoded into a unique integer identifier
3. Matrix Construction Phase
Historical pattern sequences are iterated to count transition occurrences
Each context-to-next-pattern transition increments the appropriate matrix cell
4. Probability Calculation Phase
Current context ID retrieves corresponding transition counts from the matrix
Raw counts are converted to percentages based on total context occurrences
5. Visualization Phase
Probabilities are sorted and the top N predictions are displayed in the table
Chart markers identify the current detected pattern for visual reference
💡 Note:
This indicator performs best when used as a confluence tool alongside traditional SMC analysis. The probability predictions highlight statistically common pattern sequences but should not be used as standalone trading signals. Always verify predictions against price action context, higher timeframe structure, and your overall trading plan. Monitor the sample count to ensure predictions are based on adequate historical data.
BT SpikeBT Spike is a lightweight but highly effective alert engine designed to identify
moments of unusual volatility and volume expansion . These spikes often appear
at the very beginning of major moves, giving traders early insight into:
Momentum ignition
Breakout confirmation
Liquidity shifts
Stop runs & displacement moves
Trend acceleration
High-impact expansions before news or volatility events
Rather than watching charts all day, BT Spike allows traders to receive
instant alerts whenever the market enters an abnormal volatility regime.
---
■ What BT Spike Measures
1. ATR Spike
Detects sudden expansion in true range (micro-volatility).
This often marks the beginning of a displacement candle.
2. Volume Spike
Identifies candles where volume exceeds typical market participation.
3. Combined Spike
A powerful signal triggered only when both conditions occur together:
ATR Spike AND Volume Spike
4. Spike Score (0–100)
A normalized measure of spike intensity.
• Higher score → Stronger anomaly
• 90+ → Extreme event (liquidity shifts, stop runs, institutional activity)
---
■ Visual Elements
• True Range Line
Shows per-candle volatility relative to baseline ATR.
• Volume Bars (Color-Scaled)
Volume bars turn:
Green for bullish spikes
Red for bearish spikes
Intensity based on Spike Score
Gray during normal activity
This creates a clear volatility heatmap directly in the volume panel.
• Spike Score Histogram
Helps visually identify:
Minor spikes
Major volatility clusters
Extreme anomalies
• Threshold Lines
Yellow = Minor
Orange = Major
Red = Extreme
---
■ Why BT Spike Is Useful
Spike-based analysis helps traders:
Catch large moves early
Confirm breakouts and avoid fake ones
Identify when smart money enters the market
Find the start of momentum legs
Monitor many charts with alerts instead of manual watching
A spike is often the first footprint of a meaningful move.
---
■ Practical Trading Uses
1. Breakout Confirmation
A breakout with no spike is often weak.
A breakout with a spike is typically genuine and sustained.
2. Reversal Detection
Extreme spike after a sweep often signals a reversal event.
3. Trend Ignition
Spikes frequently occur at the beginning of:
Trend legs
News-driven surges
Momentum continuation moves
4. Divergence With Price
High-volume, high-ATR spikes with little price movement can indicate:
Absorption
Trap conditions
Exhaustion
5. Alert-Driven Market Monitoring
Set alerts for:
ATR Spike
Volume Spike
Combined Spike
Major Spike (Score ≥ threshold)
Extreme Spike (Score ≥ threshold)
This allows traders to walk away while still catching every volatility event.
---
■ Spike Score Guide
0–30 → Mild noise
30–60 → Minor shift
60–80 → Strong volatility expansion
80–95 → Major spike (high-impact)
95–100 → Extreme event (institutional presence, sweeps, stop runs)
---
■ Final Summary
BT Spike gives traders:
Early detection of volatility expansion
Bull/Bear intensity visualization
Powerful alert automation
A universal signal layer that fits any strategy
Cleaner insight into where major moves originate
BT Spike = Your volatility radar .
It tells you when to look at a chart—before the move happens.
Global Liquidity Score
Global Liquidity Score – Simple Risk-On / Risk-Off Gauge
This indicator measures overall market liquidity conditions using a single, normalized score.
It takes several macro and crypto variables, standardizes each one (z-score), and combines them into one clear Liquidity Score Line.
You only follow one line (your pink/white line).
The background color shows the current liquidity regime.
⸻
What the indicator measures
The algorithm looks at four major liquidity sources:
1. USD Liquidity (tightening or easing)
• DXY (strong dollar = tighter global liquidity)
• US10Y yield (higher yields = liquidity drain)
2. Risk Sentiment (risk-on vs risk-off)
• VIX index (volatility)
• S&P 500 index (SPX)
3. Credit Market Strength
• High-yield ETFs: HYG, JNK
• Investment-grade corporate credit: LQD
Stronger credit = easier liquidity.
Weaker credit = tightening risk.
4. Internal Crypto Liquidity
• USDT dominance (higher = risk-off in crypto)
• Bitcoin price
• TOTAL2 (crypto market cap excluding BTC)
These are all converted into z-scores and combined into one metric:
Total Liquidity Score =
USD Block + Risk Block − Credit Block − 0.5 × Crypto Block
⸻
How to read the colors
The indicator uses background colors to show the liquidity regime:
Color Meaning
Dark Red Severe liquidity tightening / strong risk-off
Red Mild-to-moderate tightening
Green Liquidity easing / soft risk-on
Dark Green Strong easing, high liquidity / risk-on
Your pink/white line = the final liquidity score.
You only need to follow that single line.
⸻
How to interpret the score
📉 Positive score → Liquidity Tightening (Risk-Off)
• USD stronger
• Yields rising
• Volatility rising
• Credit markets weakening
• Crypto rotating to stablecoins
📈 Negative score → Liquidity Easing (Risk-On)
• USD weakening
• Yields falling
• Stocks rising
• Volatility low
• Credit markets strong
• Crypto beta assets outperform
⸻
What this indicator is NOT
This is not a price predictor.
It does not follow BTC directly.
It tells you liquidity conditions, not immediate price direction.
It answers the macro question:
“Is liquidity flowing INTO the market or OUT of the market?”
If liquidity is tightening (red), crypto rallies are harder to sustain.
If liquidity is easing (green), crypto rallies have more fuel.
Dynamic FVG & Trap Zones📘 Dynamic FVG & Trap Zones (DFTZ)
A Hybrid Model Combining Imbalance Mapping, Volume Behavior, and Trap Detection
Concept Overview
“Dynamic FVG & Trap Zones” is built to visualize real-time Fair Value Gaps (FVGs) and identify liquidity trap events inside those gaps using adaptive volume filters and wick-based logic.
Traditional FVG indicators merely mark imbalance zones between consecutive candles, but this model goes further — it measures how volume reaction and price penetration inside those zones reveal potential f alse moves or trap formations by smart money.
⚙️ How It Works
1. FVG Detection
• A Bullish FVG is detected when low > high , showing a price void left by aggressive buying.
• A Bearish FVG forms when high < low , implying a selling imbalance.
• These zones are automatically drawn as semi-transparent boxes that extend forward for 10 bars and decay once they exceed the configurable lookback window.
2. Volume Normalization & Grading
• Every bar’s volume is compared against a dynamic SMA( volLookback ) average to calculate a Volume Grade = current vol / avg vol.
• Only bars exceeding the Min Volume Grade threshold are eligible to generate valid FVG zones, ensuring that low-participation moves are ignored.
• The Trap Volume Threshold sets how quiet the reaction bar must be (relative to average volume) to qualify as a trap event.
3. Trap Detection Logic
• Each active FVG zone monitors incoming candles.
• A potential trap is triggered when price re-enters the zone (body or wick depending on settings) but fails to expand with confirming volume.
• If the event occurs inside a Bullish FVG, it marks a Bear Trap (green zone turned red).
If it happens inside a Bearish FVG, it flags a Bull Trap (red zone turned green).
• This reversal in zone color visually conveys trapped liquidity and potential directional fade.
4. Exclusivity and Cooldown Control
• To avoid signal clustering, you can choose exclusivity modes:
Allow Both, Bear over Bull, or Bull over Bear.
• A built-in per-signal cooldown timer prevents back-to-back plots of the same type, enhancing signal clarity during rapid price action.
5. Adaptive Visualization
• Wick-based vs body-based trap detection (toggleable).
• Optional cooldown filtering on shapes ensures the chart only displays validated events.
• Old FVG boxes are pruned automatically beyond the chosen lookback horizon.
🧠 Why It’s Different
Unlike static FVG detectors or simple liquidity sweep tools, DFTZ blends:
• Volume context (Smart Volume Grade filtering)
• Behavioral trap detection within imbalance zones
• Dynamic cooldown mechanics that control over-signaling
• Forward-propagating zones that self-expire gracefully
This synergy makes it a compact yet powerful tool for visualizing imbalances + liquidity traps in one framework — ideal for discretionary traders combining SMC concepts with volume analytics.
📈 How to Use
• Primary Context: Use on 15 min to 1 h charts to spot active FVG zones forming after impulsive moves.
• Trap Signal Interpretation:
• 🔴 “Trap” below bar → Bullish reversal (Bear Trap).
• 🟢 “Trap” above bar → Bearish reversal (Bull Trap).
• Combine With: Market structure breaks, VWAP, or delta volume tools to confirm true reversal intent.
• Alerts: All major events (FVG creation & trap confirmation) trigger ready-to-use alerts for automation or back-testing.
🧩 Customization
Setting Function
Max FVG Lookback Controls how long old zones remain active.
Volume SMA Period Defines the baseline for volume grading.
Min Volume Grade & Trap Volume Threshold Tune the sensitivity of trap confirmation.
Wick-Based Trap Detection Enable to capture wick rejections inside zones.
Signal Cooldown Prevents rapid multiple plots on successive bars.
⚠️ Disclaimer
This tool is designed for educational and analytical purposes only. It does not constitute financial advice or guarantee trading performance. Always conduct your own analysis and risk management before entering a position.
LRHS Strategy - (@BAKARAFX)LRHS Strategy by @Bakarafx
🇫🇷 Indicateur avancé conçu pour identifier les zones de retournement potentielles basées sur les chasses de liquidités et la structure du marché.
Il aide les traders à comprendre où les grands acteurs piègent les participants avant un mouvement significatif, et à repérer les points clés de renversement avec précision.
⚙️ Fonctionnalités principales :
• Détection automatique des chasses de liquidités (hauts/bas précédents).
• Lecture multi-timeframe avec filtrage intelligent selon le timeframe de chasse et de confirmation.
• Signaux visuels clairs indiquant les zones de renversement structurel
• Outil compatible avec Bitcoin et Ethereum
• Optimisé pour le price action
🇺🇸 An advanced indicator designed to identify potential reversal zones based on liquidity hunts and market structure.
It helps traders understand where major players trap participants before a significant move, allowing for more precise detection of key reversal points.
⚙️ Main Features:
• Automatic detection of liquidity grabs (previous highs/lows)
• Multi-timeframe analysis with smart filtering between hunt and confirmation timeframes
• Clear visual signals highlighting structural reversal zones
• Compatible with Bitcoin and Ethereum
• Optimized for price action trading
📍 Développé par : @Bakarafx
⚠️ Disclaimer / Avertissement
This indicator is for educational and informational purposes only.
It does not constitute financial or investment advice.
Trading involves a high level of risk, and the author is not responsible for any financial losses that may occur.
Always do your own analysis and risk management before taking a trade.
Past performance does not guarantee future results.
Ultimate Stock Trend & Liquidity Screener1. Overview & Originality
This script is a comprehensive, all-in-one screening tool designed to identify high-quality, trend-following opportunities in global stock markets. Its originality lies in combining seven distinct logical checks—spanning liquidity, trend, momentum, and volatility—into a single, cohesive framework.
www.tradingview.com
The script's core innovation is its "Total Score" system. This feature moves beyond simple binary filtering by quantifying how well a stock meets the ideal criteria for a tradable trend. This allows you to rank entire watchlists to find the most promising candidates, not just the ones that meet a minimum threshold.
Designed for full integration with the TradingView ecosystem, the script outputs all individual conditions and the Total Score as separate columns in the Pine Screener, enabling deep and flexible market analysis.
2. Core Concepts & How It Works
Built on the classic principles of trend-following, this screener validates potential trades against a robust checklist. The default parameters are tuned for stock market analysis, using standard lookback periods like the 50 and 200-day moving averages.
The script systematically checks for:
Liquidity: Guarantees the stock is actively traded by filtering for minimum daily dollar volume (turnover) and a healthy 30-day average volume, which is critical for good execution.
Trend Confirmation: Employs the classic 50/200 Simple Moving Average "golden cross" structure to confirm a healthy, long-term uptrend.
Trend Quality: Includes an optional filter to verify that the long-term 200-day SMA is actively sloping upwards, ensuring the underlying trend has momentum.
Trend Strength: Uses the Average Directional Index (ADX) to filter out weak or sideways markets, focusing only on stocks in a strong, established trend.
Momentum: Confirms the trend is supported by sustained buying pressure by checking that the Relative Strength Index (RSI) is in a bullish regime (above 50).
Volatility: Requires a minimum level of volatility using the Average True Range (ATR) as a percentage of the price, ensuring the stock has enough movement to be tradable.
Strategic Entry: Offers a user-selectable "Entry Mode" to fit different trading styles:
Breakout Mode: Identifies stocks hitting new highs on a surge of volume.
Pullback Mode: Finds stocks already in a strong uptrend that are experiencing a healthy dip to a short-term moving average.
3. How to Use This Script
This indicator is designed for two primary workflows:
Single-Stock Analysis: Apply the script to any stock chart to see a detailed diagnostic table in the bottom-right corner. This table provides a real-time checklist for all 7 conditions and the Total Score.
Full Market Screening (Recommended):
Open the Stock Screener on TradingView.
Click "Filters" and select this script from the Pine Screener menu.
Click the "Columns" button and add the new columns generated by this script ("Total Score," "Liquidity OK," etc.).
You can now sort your entire watchlist by "Total Score" to find the best candidates or filter for stocks that meet a minimum score (e.g., Total Score > 5 ).
4. Inputs & Customization
All parameters are fully customizable in the script's "Settings" menu. You can easily adjust moving average lengths, thresholds, and lookback periods to tailor the screener to your specific strategy, timeframe, or market.
5. Disclaimer
This tool is for educational and analytical purposes only. It is not financial advice and does not guarantee any specific outcome or profit. Past performance is not indicative of future results. Always use this screener as part of a complete trading plan that includes your own analysis and risk management.
DTLLC Time & PriceDTLLC Time and Price with Signals
This indicator is built for traders who understand ICT concepts and want a structured, visual way to align time-based price action with key market levels. By combining customizable trading windows, breakout logic, and daily reference points, it helps you identify high-probability trade opportunities while filtering out market noise.
Key Features
1. Dual Custom Time Ranges (Kill Zones)
Set two independent time ranges per day (start/end hour and minute).
Each range identifies the highest high and lowest low within its window.
Built-in breakout detection generates buy/sell signals when price moves beyond these levels.
2. Volatility Filtering
Adjustable volatility threshold based on True Range relative to ATR.
Filters out low-quality signals during choppy, low-volatility conditions.
3. ATR-Based Stop Loss
Custom ATR length and stop-loss multiplier settings.
Automatically plots ATR-based stop levels for triggered trades.
4. Daily Key Levels
Plots Previous Day High, Previous Day Low, and Midnight Open continuously on the chart.
Useful for spotting breakout and reversal opportunities in line with ICT market structure concepts.
5. Liquidity & Engulfing Candle Highlights
Highlights potential liquidity grab zones (yellow candles) when significant highs/lows are set within your lookback period.
Detects bullish (green) and bearish (red) engulfing patterns for added confluence.
6. Visual & Signal Tools
Buy/Sell signals plotted directly on chart (separate colors for Range 1 and Range 2). Continuous plotting of reference levels to maintain market context throughout the session.
Example Use Case:
A common ICT-inspired reversal setup:
Wait for price to sweep the Previous Day’s High or Low during your chosen time range.
Look for a buy or sell signal with volatility confirmation.
Manage risk using the ATR-based stop-loss plot.
Disclaimer: This script is for educational purposes only and is not financial advice. Trade responsibly and always test strategies before applying them in live markets.
SMC Pro - Smart Money Concepts🎯 SMC Pro - Complete Smart Money Concepts Trading System with Trade Alerts
The Most Comprehensive SMC/ICT Indicator Built for Real Traders
After extensive research into what retail and prop firm traders actually need, I've created SMC Pro - a complete Smart Money Concepts indicator that solves the biggest problems with existing SMC tools.
🚀 What Makes This Different:
✅ COMPLETE TRADE SETUP ALERTS - Not just structure breaks! Get full trade setups with:
* Entry, Stop Loss & Target Prices
* Risk/Reward Calculations
* 5-Point Confluence Scoring
* Visual Trade Labels on Chart
✅ INTELLIGENT FILTERING - No more chart spam:
* Minimum structure size filter (ATR-based)
* Minimum bars between signals
* Volume confirmation for order blocks
* Clean, actionable signals only
📊 Core Features:
1. Market Structure Analysis
* Break of Structure (BOS) with smart filtering
* Change of Character (CHoCH) detection
* Clear directional bias identification
* Prevents excessive signal clustering
2. Order Blocks
* Volume-confirmed institutional zones
* Automatic mitigation tracking
* Entry points for trade setups
3. Fair Value Gaps
* ATR-based size filtering
* Automatic fill detection
* Confluence factor for trades
4. Liquidity Zones
* Buy-side & Sell-side liquidity mapping
* Sweep detection with alerts
* Target zones for trades
5. Risk Management Integration
* Automatic R:R calculation
* Position sizing guidance
* Minimum R:R filtering (default 2:1)
🎯 5-Point Trade Confluence System:
1. Market structure alignment
2. Recent structure break (BOS/CHoCH)
3. Order block at current price
4. Fair value gap support
5. Liquidity target available
Minimum score of 3/5 required for trade alerts (adjustable)
⚙️ Smart Settings:
* Swing Length: 10 (default) - adjust for sensitivity
* Min Bars Between Signals: 20 - prevents clustering
* Min Structure Size: 1.0 ATR - filters noise
* Min Confluence Score: 3/5 - quality control
* Target R:R: 2:1 minimum - proper risk management
📱 Alert Types:
* 🎯 Trade Setup Alerts - Complete entry/exit plans
* ✅ Structure Breaks - BOS & CHoCH notifications
* 📊 Order Block Touch - Price at key zones
* 💧 Liquidity Sweeps - Stop hunts detected
💡 Pro Tips:
* Start with default settings
* Use on 15m+ timeframes for cleaner signals
* Increase confluence requirement for prop firm trading
* Enable volume confirmation for higher quality OBs
* Dashboard shows real-time setup status
🔧 If You Get Too Many Signals:
* Increase Swing Length to 15-20
* Increase Min Bars Between to 30-50
* Increase Min Structure Size to 1.5 ATR
* Raise Min Confluence Score to 4 or 5
This indicator is the result of solving real problems traders face with SMC/ICT concepts. It's designed to give you clean, actionable trade setups - not just mark up your chart with zones.
Built with Pine Script v6 for maximum performance and reliability.
Trade with confluence. Trade with confidence. Trade smart. 🎯
[TTM] ICT Sessions & Ranges🌟 Overview 🌟
The ICT Sessions & Ranges Indicator helps traders identify key intraday price levels by marking custom session highs/lows and opening ranges.
It helps traders spot potential liquidity grabs, reversals, and breakout zones by tracking price behavior around these key areas
🌟 Session Highs & Lows – Liquidity Zones 🌟
Session highs and lows often attract price due to stop orders resting above or below them. These levels are frequently targeted during high-volatility moves.
🔹 Asia Session
- Usually ranges in low volatility.
- Highs/lows often get swept during early London.
- Price may raid these levels, then reverse.
🔹 London Session
- First major volatility of the day.
- Highs/lows often tested or swept in New York.
- Commonly forms the day’s true high or low.
🌟 Opening Range Concepts 🌟
The Opening Range is the first 15, 30, or 60 minutes of a session (e.g., New York).
The high (ORH) and low (ORL) define the market’s initial balance and key reaction levels.
🔹 Breakout Trade
- Price breaks ORH/ORL with momentum.
- Signals directional intent.
- Traders enter on the breakout, with stops inside the range.
🔹 Liquidity Raid
- Price briefly breaks ORH/ORL to trigger stops.
- Reverses after the sweep.
- Look for structure shift and entry near FVG or OB.
🌟 Customizable Settings 🌟
The indicator includes 3 configurable ranges , each with:
Start & End Time – Set any custom time window.
Display Type – Choose Box (highlight range) or Lines (mark high/low).
Color Settings – Set custom colors for boxes and lines.
🌟 Default Settings 🌟
Range 1 : 19:00–00:00 (Asia Session)
Range 2 : 01:45–05:15 (London Session)
Range 3 : 09:30–10:00 (NY Opening Range – 30m)
4-Year Cycles [jpkxyz]Overview of the Script
I wanted to write a script that encompasses the wide-spread macro fund manager investment thesis: "Crypto is simply and expression of macro." A thesis pioneered by the likes of Raoul Pal (EXPAAM) , Andreesen Horowitz (A16Z) , Joe McCann (ASYMETRIC) , Bob Loukas and many more.
Cycle Theory Background:
The 2007-2008 financial crisis transformed central bank monetary policy by introducing:
- Quantitative Easing (QE): Creating money to buy assets and inject liquidity
- Coordinated global monetary interventions
Proactive 4-year economic cycles characterised by:
- Expansionary periods (low rates, money creation)
- Followed by contraction/normalisation
Central banks now deliberately manipulate liquidity, interest rates, and asset prices to control economic cycles, using monetary policy as a precision tool rather than a blunt instrument.
Cycle Characteristics (based on historical cycles):
- A cycle has 4 seasons (Spring, Summer, Fall, Winter)
- Each season with a cycle lasts 365 days
- The Cycle Low happens towards the beginning of the Spring Season of each new cycle
- This is followed by a run up throughout the Spring and Summer Season
- The Cycle High happens towards the end of the Fall Season
- The Winter season is characterised by price corrections until establishing a new floor in the Spring of the next cycle
Key Functionalities
1. Cycle Tracking
- Divides market history into 4-year cycles (Spring, Summer, Fall, Winter)
- Starts tracking cycles from 2011 (first cycle after the 2007 crisis cycle)
- Identifies and marks cycle boundaries
2. Visualization
- Colors background based on current cycle season
- Draws lines connecting:
- Cycle highs and lows
- Inter-cycle price movements
- Adds labels showing:
- Percentage gains/losses between cycles
- Number of days between significant points
3. Customization Options
- Allows users to customize:
- Colors for each season
- Line and label colors
- Label size
- Background opacity
Detailed Mechanism
Cycle Identification
- Uses a modulo calculation to determine the current season in the 4-year cycle
- Preset boundary years include 2015, 2019, 2023, 2027
- Automatically tracks and marks cycle transitions
Price Analysis
- Tracks highest and lowest prices within each cycle
- Calculates percentage changes:
- Intra-cycle (low to high)
- Inter-cycle (previous high to current high/low)
Visualization Techniques
- Background color changes based on current cycle season
- Dashed and solid lines connect significant price points
- Labels provide quantitative insights about price movements
Unique Aspects
1. Predictive Cycle Framework: Provides a structured way to view market movements beyond traditional technical analysis
2. Seasonal Color Coding: Intuitive visual representation of market cycle stages
3. Comprehensive Price Tracking: Captures both intra-cycle and inter-cycle price dynamics
4. Highly Customizable: Users can adjust visual parameters to suit their preferences
Potential Use Cases
- Technical analysis for long-term investors
- Identifying market cycle patterns
- Understanding historical price movement rhythms
- Educational tool for market cycle theory
Limitations/Considerations
- Based on a predefined 4-year cycle model (Liquidity Cycles)
- Historic Cycle Structures are not an indication for future performance
- May not perfectly represent all market behavior
- Requires visual interpretation
This script is particularly interesting for investors who believe in cyclical market theories and want a visual, data-driven representation of market stages.
ICTProTools | ICT Insight - Time & Price Zones🚀 INTRODUCTION
The Time and Price Zones indicator builds upon the foundational concepts of ICT (Inner Circle Trader) and Smart Money Concepts (SMC). These methodologies analyze the behavior of institutional traders (known as "smart money") by focusing on liquidity, key price levels, and market timing.
Liquidity refers to areas with high concentrations of pending orders (stops, take-profits, entries) in the market. Large institutions efficiently need to execute their massive orders without causing excessive slippage. To achieve this, they strategically create and exploit liquidity pools by driving the price toward areas where retail traders cluster their positions.
Then, through "liquidity grabs" or "stop hunts,” institutions accumulate or distribute positions at optimal prices . This strategy allows them to fill large orders with minimal market impact, typically clearing out retail traders' positions before the price reverses.
This indicator helps traders apply these principles by merging time-based and price-based analysis tools for better market understanding. By combining high-impact sessions like Kill Zones with pivotal price markers such as Previous Highs and Lows, traders can see where institutional activity intersects with liquidity pools, improving their decision-making.
This powerful combination allows users to monitor market dynamics in real time, helping them spot sentiment shifts and identify crucial turning points more effectively.
💎 FEATURES
Kill Zones
Kill Zones are critical periods of the trading day characterized by heightened institutional activity, resulting in increased liquidity and significant price movements. By recognizing these zones, you can strategically focus your efforts on the most advantageous moments for trading.
The Asian Session , which runs from 5 PM to 1 AM New York time, serves as an essential liquidity provider before the onset of more volatile trading periods. This session is intricately linked to the Smart Money Tool (SMT - See below), as the highs and lows established during this period provide foundational liquidity levels. You can set alerts when these levels are breached , allowing you to stay informed without constant chart monitoring and make timely trading decisions.
Transitioning into the London Kill Zone from 2 to 5 AM New York time marks the beginning of the European session, often associated with increased volatility. Following this, the New York Kill Zone , occurring from 7 to 10 AM , sees significant overlap between the London and New York sessions, where liquidity flows intensify and frequently correlate with notable price reversals. Finally, the London Close from 10 to 12 PM signifies the end of the European session, often ending the day with a retracement in the daily range.
Thanks to the timezone you can select relative to a region, Kill Zones will automatically adapt to time changes throughout the year and between different brokers , ensuring accurate Kill Zone timings without manual adjustments.
Incorporating our advanced Kill Zones indicator into your trading strategy gives you unparalleled insights and enhanced functionality. With integrated alerts for breaches of key levels, you can stay informed and ready to act without the need for constant chart monitoring, allowing you to focus on executing your trading strategies effectively.
We can see on this chart the identified Kill Zones during the trading day on EURUSD , including the Asian Session in gray, which tends to consolidate slightly (creating liquidity), the London Kill Zone in orange, which tends to move fast, often taking Asian quickly, the New York Kill Zone in green, with always a lot of movements, and the London Close in blue, seeming rather to retrace.
The midline indicates the 50% mark of the session, serving as a reference point for potential price reactions. Additionally, the highs and lows established during the Asian Session are linked to the Smart Money Tool (SMT) and can trigger alerts when breached. Here, you could have received an alert when Asian Low (marked AL) and Asian High (marked AH) were swept.
Previous & Open Levels
Previous and Open levels are key elements in ICT methodology, showing important price points from major timeframes (Daily, Weekly, Monthly). These levels (Previous High, Low, Open, and their separators) help traders understand price dynamics and anticipate market shifts.
The Previous levels connect directly to the Smart Money Tool (SMT - See below) as they provide foundational liquidity levels. In ICT methodology, previous are levels where many traders place their Stop Loss, thus creating liquidity. This helps you understand potential market reactions and whether prices will likely continue their trend or reverse.
You’ll be instantly notified whenever the price interacts with any of these Previous levels. This means you can stay informed about critical market movements without the need to monitor your charts constantly.
The indicator also displays Opening prices and includes separators for daily, weekly, and monthly levels, offering a clear market overview.
Open levels can act as simplified indicators of Premium and Discount Zones. To be above the opening price can be considered as the Premium Zone , where the market offers higher prices, typically suitable for selling opportunities. Conversely, to be below this price can be considered as the Discount Zone , where prices are relatively lower, offering potential buying opportunities.
These visual elements help you identify crucial market zones that reflect both past price action and current market dynamics.
Our indicator offers you the exclusive ability to integrate the True Day Range, as described by ICT. Based on institutional logic, this concept defines the trading day starting at 00:00 New York time. You can adapt this flexible feature to match your trading style and analysis needs.
By incorporating our advanced Previous levels indicator into your trading arsenal, you gain powerful insights and enhanced functionality.
The chart above displays key Previous and open levels on EURUSD , including the Month, Week, and Day lines, along with separators for enhanced clarity. All levels are based on the True Day Range Mode. The notes indicate significant price points, highlighting how the price interacts with these important levels, which helps us to understand it…
We can start with the biggest liquidity, the Previous Month. In this example, we can see the PMH, and the price seems to have used this level as a reversal point. The PM levels are indeed significant liquidity zones. We can observe the creation of wicks that interact with this level, signaling a liquidity grab.
Following this, the price drops quickly before rebounding, creating a liquidity range, that will probably be liquidated then… This is why it rises again to form what is now the PDH (Previous Day High), using it as liquidity (inducement) while using the PWH (Previous Week High) as a rebound level. The PWH is indeed a High Resistance (HR) area since there is only a few liquidity at this point thanks to the liquidity grab. The price has no reason to move higher.
Looking ahead, we can forecast that the price may continue its decline, potentially targeting lower liquidity levels. There is likely additional liquidity beneath the current range, particularly near the PDL (Previous Day Low) and PWL (Previous Week Low).
Additionally, we can note that at this point, the price was above the D.O.P (Daily Open) and W.O.P (Weekly Open), areas where selling would be more favorable. The price reacts significantly around these levels, creating large wicks, demonstrating their importance.
SMT Dashboard (Smart Money Tool)
The Smart Money Tool (SMT) is a powerful concept within the ICT methodology that enables you to compare various assets based on liquidity uptake from significant price levels.
By utilizing the SMT, you can analyze any asset , whether it’s a currency pair, stock, cryptocurrency, or other financial instruments. The dashboard helps you identify the strongest and weakest assets by analyzing their interactions with critical liquidity levels and identifying divergences , including those related to the Previous Month, Previous Week, Previous Day, and Asian Session Highs and Lows. By doing so, he identifies the most bullish symbol. It will therefore tend to rise more easily, or at least fall less, than the other one.
The SMT includes alert functionality that notifies you whenever a new SMT is created or has changed , allowing you to stay informed about which asset is currently the strongest. This means you can react promptly to market changes without constantly monitoring your charts.
Additionally, since the SMT relies on the Previous levels, it is influenced by the selected mode, whether based on traditional Previous levels or the True Day Range . This flexibility ensures that you are using the most relevant information available for your trading decisions. Asian High and Asian Low levels are also calculated according to the schedules configured in the Kill Zones section.
In summary, the Smart Money Tool displays the strongest and weakest assets based on liquidity uptake, providing you with clear information on which asset to prioritize, so you can maximize your potential profits. By incorporating this concept into your approach, you align your decisions with prevailing market dynamics, offering you unparalleled insights and features tailored to enhance your trading strategy.
This chart displays the Smart Money Tool (SMT) dashboard on the GBPUSD symbol, which compares the liquidity uptake for EURUSD and GBPUSD pairs. The indicator shows that both Previous Month's and Week's High and Low were taken for both pairs. However, the Asian High (AH) has been breached on GBPUSD but not on EURUSD, while the Asian Low (AL) has been taken by EURUSD. As a result, GBPUSD is identified as the stronger asset, indicating that traders should focus on buying opportunities with GBPUSD rather than EURUSD. This analysis helps traders prioritize the best symbol for their strategies based on the most relevant liquidity divergences.
✨ SETTINGS
Kill Zones: Customize the display options for the Asian (with lines), London, New York, and London Close Kill Zones. Configure timezone options, midlines, and color preferences.
Previous & Open Levels: Adjust how Previous High/Low levels, Open and separators are displayed. Select between Classic or True Day Range Mode based on your trading preferences.
SMT: Choose the correlated assets for the SMT comparison and select which liquidity (Monthly, Weekly, Daily, Asian) to use and display. Configure settings like liquidity sweeps and strongest pair emojis.
Alerts: Configure alerts for key events such as the Asian High/Low or Previous Levels liquidity sweep, and SMT divergences.
🎯 CONCLUSION
The Time and Price Zones indicator offers a practical and insightful approach to market analysis by combining major principles of ICT and Smart Money Concepts into a cohesive tool. It empowers traders to understand key price levels, liquidity dynamics, and institutional activity with ease. By helping traders avoid being the liquidity of the market and instead align with institutional flows, the indicator can significantly enhance performances. While its features provide a valuable edge, it’s essential to remember that none should be used on its own and many more factors go into being a profitable trader.
Weighted Global Liquidity Index (WGLI) ROCThe Weighted Global Liquidity Index (WGLI) ROC indicator calculates the rate of change (ROC) of the WGLI, providing valuable insights into the dynamics of global liquidity. The WGLI consolidates major central bank balance sheets and key financial indicators, such as Foreign Exchange Reserves, Interbank Rates, and Interest Rates, converted to USD and expressed in trillions. Specific US accounts like the Treasury General Account (TGA) and Reverse Repurchase Agreements (RRP) are subtracted from the Federal Reserve's balance sheet for a more detailed view of US liquidity.
Using both the WGLI and the WGLI ROC together allows users to track changes in global liquidity and understand policy trajectories and economic conditions. This dual approach offers insights into asset pricing and helps investors make informed decisions about capital allocation.
Feel free to explore and customize the WGLI ROC script to suit your analysis needs!
Session Breakout/Sweep with alertsThis indicator is based on popular London breakout strategy. but as I noticed that it don't work good with breakouts so I made it to be used as reversal entries as well. By default the timing is set for asian session but you can change it according to your need.
Use as breakout
Use as liquidity sweep
Note:
On some pairs the timing changes automatically (I don't know why), if you face this issue , go to settings and set the timing accordingly and save it as templet so that you don't have to change it every time you load the chart with timing issue.
I hope you guys find it useful. Do share your though and feedback in comments.
Correlation index and liquidityAn indicator with which you can easily compare any ticker with the ones offered.
You can choose any of the tags that are offered in the options
You can also create your own ticker if you select the Custom in Mode option.
If the comparison mode is enabled, the current ticker you are viewing is divided by the ticker selected in the indicator.
For example, if you have the EURUSD ticker open. And the EURUSD indicator is selected in the option in the indicator. Then you will get the EURUSD correlation index with other currency pairs that are correlated, for example GBPUSD+NZDUSD+AUDUSD. This means that you can now see the common index of those three pairs in relation to the EURUSD.
Custom index for major currency, example GBP have index of GBPUSD+GBPAUD+GBPJPY+GBPNZD+GBPCHF. This means that you can now see the common index of those pairs in relation to the GBP.
This script is unique because it requires the optimal combination of pairs needed for each pair specifically, which I came to during many years of studying the forex market so the source code of the script have to remain hidden.
If you are a beginerr, you can just apply simple trend-breakout strategy after you spot the divergence.
For advanced traders, you can use this together with ICT's and SMC concepts as a confirmation upon your entry.
Please comment if you like it!
Multi-Timeframe High Low (@JP7FX)Multi-Timeframe High Low Levels (@JP7FX)
This Price Action indicator displays high and low levels from a selected timeframe on your current chart.
These levels COULD represent areas of potential liquidity, providing key price points where traders can target entries, reversals, or continuation trades.
Key Features:
Display high and low levels from a selected timeframe.
Customize line width, colors for high and low levels, and label text color.
Enable or disable the display of high levels, low levels, and labels.
Receive alerts when the price takes out high or low levels.
How to use:
It is important to note that using this indicator on it's own is not advisable. Instead, it should be combined with other tools and analysis for a more comprehensive trading strategy.
Possibly look to use my MTF Supply and Demand Indicator to look for zones to trade from at these levels?
If the price breaks above a high level, you might consider entering a long position, with the expectation that the price will continue to rise. Conversely, if the price breaks below a low level, you may think about entering a short position, anticipating further downward movement.
On the other hand, you can also use high or low levels to look for reversal trades, as these areas can represent attractive liquidity zones.
By identifying these key price points, you could take advantage of potential market reversals and capitalise on new trading opportunities.
Always remember to use this indicator in conjunction with other technical analysis tools for the best results.
Additionally, you can enable alerts to notify you when the price takes out high or low levels, helping you stay informed about significant price movements.
This indicator could be a valuable tool for traders looking to identify key price points for potential trading opportunities.
As always with the markets, Trade Safe :)
Synthetic Liquidity HeatmapSYNTHETIC LIQUIDITY HEATMAP (SLH) v1.0
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DESCRIPTION
The Synthetic Liquidity Heatmap (SLH) is an advanced statistical order book estimation tool that generates a visual representation of probable liquidity zones without requiring direct access to Level 2 market data. By analyzing price action, volume dynamics, and market microstructure patterns, SLH constructs a synthetic approximation of where institutional orders are likely concentrated.
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KEY INNOVATIONS
1. CHL SPREAD MODEL (Close-High-Low)
Implements a logarithmic spread estimation model based on the relationship between close price and the high-low midrange. This microstructure approach captures the implicit bid-ask spread behavior embedded in OHLC data, providing insight into market maker activity and order flow imbalances.
2. VSA INTEGRATION (Volume Spread Analysis)
Optional Volume Spread Analysis mode weighs liquidity calculations by the product of volume and candle range. This identifies bars with significant effort (volume) relative to result (price movement), highlighting potential accumulation and distribution zones.
3. DYNAMIC LEVEL SPACING
Liquidity levels are spaced using ATR-based calculations, automatically adapting to current market volatility. This ensures relevant level placement across different instruments and timeframes without manual adjustment.
4. ACCUMULATIVE LIQUIDITY TRACKING
When price revisits the same level multiple times, contracts accumulate rather than creating duplicate zones. This mimics real order book behavior where resting orders stack at key price levels.
5. REAL-TIME HIT DETECTION
The system monitors when price reaches liquidity levels, terminating filled zones and maintaining only active resting liquidity. This provides a dynamic, evolving view of the synthetic order book.
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MATHEMATICAL FOUNDATION
The CHL Spread Model is defined as:
CHL = √(4 × (ln(C) - M) × (ln(C) - M ))
Where:
- C is the closing price
- M = (ln(H) + ln(L)) / 2 is the log midrange
- M is the previous bar's log midrange
The State Factor adjusts liquidity intensity:
State Factor = max(0.2, 1.0 - (Z_spread × 0.15))
Where Z_spread is the z-score of the current spread relative to its moving average.
Liquidity distribution follows close position analysis:
Bid Strength = is_bullish ? (1 - close_position) × 0.7 + 0.3 : close_position × 0.7 + 0.3
Ask Strength = is_bullish ? close_position × 0.7 + 0.3 : (1 - close_position) × 0.7 + 0.3
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APPLICATIONS
- Identify probable support and resistance zones based on synthetic order flow
- Visualize where institutional liquidity may be resting
- Anticipate potential reversal or breakout zones
- Complement existing Level 2 data with statistical estimation
- Analyze liquidity dynamics on instruments without accessible order book data
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VISUAL REPRESENTATION
The heatmap displays:
- Green zones (Bids): Probable buy-side liquidity below current price
- Orange zones (Asks): Probable sell-side liquidity above current price
- Color intensity: Proportional to estimated contract concentration
- Level termination: Zones disappear when price "fills" the liquidity
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AUTHOR
Name: Hector Octavio Piccone Pacheco
Indicator: Synthetic Liquidity Heatmap (SLH)
Version: 1.0
Date: 2025
Original Contributions:
- CHL-based spread estimation for liquidity inference
- Accumulative synthetic order book model
- ATR-adaptive level spacing system
- Real-time liquidity hit detection engine
- VSA-weighted liquidity distribution
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DISCLAIMER
Trading involves substantial risk of loss. This indicator provides statistical estimations only and does not represent actual market depth or order book data. Past performance does not guarantee future results. Always conduct your own analysis and risk assessment.
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ACCESS TO SRC
To request access to the SRC indicator, please contact me through:
Discord: octa_0001
One Point Global Net Liquidity The "Fuel" Behind the MarketMost traders look at price action, but price is often just a reflection of the money supply available in the system. This indicator tracks Global Net Liquidity—the actual amount of fiat currency available to flow into risk assets like Crypto and Equities.
Unlike standard "Money Supply" (M2) charts, this indicator focuses on Central Bank Balance Sheets, which is a more direct proxy for "Quantitative Easing" (QE) and "Quantitative Tightening" (QT).
How It Works (The Formula)
This script aggregates the balance sheets of the "Big 4" Central Banks, which represent ~90% of global liquidity. It automatically converts all values to USD Trillions for a standardized view.
{Global Liquidity} = {US Net Liquidity} + {ECB} + {PBoC} + {BoJ}
1. US Net Liquidity (The "Trader's" Formula) We do not just use the Fed's Total Assets. We subtract the money that is "stuck" outside the private economy:
(+) Fed Balance Sheet: Total Assets.
(-) TGA (Treasury General Account): The government's checking account. When this goes up, liquidity is drained from markets.
(-) RRP (Reverse Repo): Money parked by banks at the Fed overnight. When this goes up, liquidity is removed from the system.
2. Global Additions
ECB (Eurozone): Converted to USD.
PBoC (China): Converted to USD.
BoJ (Japan): Converted to USD.
How to Use This Indicator This indicator is designed as an Overlay on the main chart (using the Left Scale).
Correlation: Generally, when the Orange Line (Liquidity) trends up, Bitcoin and the S&P 500 trend up. When Central Banks tighten (line down), risk assets struggle.
The "Divergence" Signal (Alpha):
Bullish: If Price makes a Lower Low but Liquidity makes a Higher Low, it often signals seller exhaustion and a potential bottom.
Bearish: If Price makes a New High but Liquidity fails to follow (or drops), the rally may be unsupported and prone to a reversal.
Settings
Scale: This indicator is pinned to the Scale Left to allow it to overlay price action without distortion.
Data: Uses daily data from ECONOMICS and FRED feeds.
Buyside & Sellside Liquidity The Buyside & Sellside Liquidity Indicator is an advanced Smart Money Concepts (SMC) tool that automatically detects and visualizes liquidity zones and liquidity voids (imbalances) directly on the chart.
🟢 Function and meaning:
1. Buyside Liquidity (green):
Highlights price zones above current price where short traders’ stop-loss orders are likely resting.
When price sweeps these areas, it often indicates a liquidity grab or stop hunt.
👉 These zones are labeled with 💵💰 emojis for a clear visual cue where smart money collects liquidity.
2. Sellside Liquidity (red):
Highlights zones below the current price where long traders’ stop-losses are likely placed.
Once breached, these often signal a potential reversal upward.
👉 The 💵💰🪙 emojis make these liquidity targets visually intuitive on the chart.
3. Liquidity Voids (bright areas):
Indicate inefficient price areas, where the market moved too quickly without filling orders.
These zones are often revisited later as the market seeks balance (fair value).
👉 Shown as light shaded boxes with 💰 emojis to emphasize imbalance regions.
💡 Usage:
• Helps spot smart money manipulation and stop hunts.
• Marks potential reversal or breakout zones.
• Great for traders applying SMC, ICT, or Fair Value Gap strategies.
✨ Highlight:
Dollar and money bag emojis (💵💰🪙💸) are integrated directly into chart labels to create a clear and visually engaging representation of liquidity areas.
M2 Global G13 Liquidity (Custom & Shift, US DXY Adj.)🌎 M2 Global G13 Liquidity index (Custom & Shift, US DXY Adj.)
💡 Indicator Overview
The M2 Global G13 Liquidity indicator combines the M2 liquidity of 13 major countries, allowing users to selectively include or exclude each country to visualize global capital flows and potential investment liquidity at a glance.
Each country's M2 data is converted to USD using real-time exchange rates, and the US M2 is further adjusted using the Dollar Index (DXY) to reflect the impact of dollar strength or weakness on US liquidity.
✅ What is M2?
M2 is a broad measure of money supply that includes cash, demand deposits, savings deposits, and certain financial products.
It represents a country's overall liquidity and capital supply and is often interpreted as "dry powder" ready to be deployed into various assets such as equities, real estate, and bonds.
Therefore, M2 serves as a crucial benchmark for assessing a country's potential investment capacity that can flow into markets at any time.
💰 Exchange Rate & Dollar Index Adjustment
- All country M2 data is converted from local currencies to USD.
- The US M2 is further adjusted using the Dollar Index (DXY) to better reflect its real global power:
- DXY > 100 → Liquidity contraction (strong dollar effect)
- DXY < 100 → Liquidity expansion (weak dollar effect)
🗺️ Country Selection Options
- Default selection: United States
- Major selections: China, Eurozone, Japan, United Kingdom (core G5 economies)
- Additional selections: Switzerland, Canada, India, Russia, Brazil, South Korea, Mexico, South Africa
- Users can freely add or remove countries to customize the indicator to match their analytical needs.
📈 Example Use Cases
- Monitor global capital flows: Track worldwide liquidity trends and detect potential market risk signals.
- Analyze exchange rate and monetary policy trends: Compare dollar strength with major central bank policies.
- Benchmark against equity indices: Evaluate correlations with MSCI World, KOSPI, NASDAQ, etc.
- Valuation analysis: Compare overall liquidity levels to equity index prices or market capitalization to assess relative valuation and identify potential overvaluation or undervaluation.
- Crisis response strategy: Identify liquidity contraction during global credit crises or deleveraging phases.
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🌎 M2 글로벌 G13 유동성 지수 (Custom & Shift, US DXY Adj.)
💡 지표 소개
M2 Global G13 Liquidity 지표는 세계 13개 주요국의 M2 유동성을 선택적으로 결합하여, 글로벌 자금 흐름과 잠재 투자 자금을 한눈에 시각화할 수 있도록 설계된 종합 유동성 지표입니다.
국가별 M2 데이터를 환율과 결합해 달러 기준으로 표준화하며, 특히 미국 M2는 달러지수(DXY)로 보정하여 달러 강약에 따른 파급력을 반영합니다.
✅ M2란?
M2는 광의 통화지표로, 현금 + 요구불 예금 + 저축성 예금 + 일부 금융상품을 포함합니다.
이는 한 국가의 유동성 수준과 자금 공급 상태를 나타내는 핵심 거시경제 지표이며, **주식·부동산·채권 등 다양한 자산에 투자될 준비가 된 '대기자금'**으로도 해석됩니다.
따라서 M2는 투자시장으로 언제든지 흘러들어갈 수 있는 잠재적 투자 역량을 평가할 때 중요한 기준입니다.
💰 환율 및 달러지수 보정
- 모든 국가 M2는 자국 통화에서 **달러(USD)**로 환산됩니다.
- 특히 미국 M2는 달러 가치의 글로벌 실질 파워를 평가하기 위해 DXY 보정을 적용합니다.
- DXY > 100 → 유동성 축소 (강달러 효과)
- DXY < 100 → 유동성 확대 (약달러 효과)
🗺️ 국가별 선택 옵션
- 기본 선택: 미국
- 주요 선택: 중국, 유로존, 일본, 영국 (주요 G5)
- 추가 선택: 스위스, 캐나다, 인도, 러시아, 브라질, 한국, 멕시코, 남아공
- 사용자는 각 국가를 자유롭게 더하거나 빼면서 커스터마이즈할 수 있습니다.
📈 활용 예시
- 글로벌 자금 흐름 모니터링: 전세계 유동성 추세 및 시장 리스크 신호 분석
- 환율/금리 정책 분석: 달러 강약과 주요국 정책 변화 비교
- 주가지수 벤치마크 비교: MSCI World, 코스피, 나스닥 등과 상관관계 확인
- 밸류에이션 분석: 전체 유동성 수준을 주가지수나 시가총액과 비교하여, 시장의 상대적 고평가·저평가 여부를 평가
- 위기 대응 전략: 글로벌 신용위기·자금 긴축 국면 대비
