Price Action Toolkit™ and ICT (Inner Circle Trader) are pivotal in understanding market behavior.

Price Action Toolkit™ focus on the strategies used by institutional traders to manipulate and capitalize on liquidity, while ICT teachings delve into how these large market players operate.

By analyzing order blocks, liquidity pools, and market structure shifts, traders can align their strategies with the actions of smart money, gaining a significant edge in anticipating market movements.

Price Action Toolkit™ is a unique toolkit from Candelaa that offers a comprehensive range of price action tools, including Order Blocks, Imbalances, Market Structure, Liquidity Concepts, and more.

This toolkit is perfect for both beginners and seasoned traders looking to automate the essential elements of price action on their charts. Explore the pages below to see all the features this toolkit has to offer.

Price Action Toolkit™ offers a variety of settings that influence the appearance and behavior of the toolkit, with most settings tailored specifically to the feature they modify.

Oscillator Concepts is a composite momentum indicator that consolidates multiple classic oscillators into a single normalized Line and augments it with contextual modules—Participation, Trend Radar, Velocity Pulse, Fractal Map, Divergences, unified Signals, Themes, and Alerts—so you can evaluate stretch, directional bias, and market participation from a single pane.

Getting started

Welcome to the CandelaCharts knowledge hub! Dive in by clicking the buttons below to discover how to get started, master our toolkits, and supercharge your trading journey with CandelaCharts.

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You’re looking at one clear line—The Line—that blends a handful of familiar momentum reads into a simple, readable curve. Think of the middle as home base. When it wanders far outside, the market is running hot. The quiet background layers (Participation, Trend Radar, Velocity Pulse, Fractal Map) are there to add flavor only when you need them—helpful context, not clutter.

Most days you’ll do three simple things:

• When the line sits near home base, take a breath and prepare. Let price build a story and glance at the layers for hints.

• When it pushes well outside, decide whether you’re fading a stretch or riding pressure with the trend. Make that call because the context agrees, not on a hunch.

• When it comes back toward the band after being stretched, treat that as a practical timing cue—especially if participation is tiring and the trend stripe is softening.

If anything ever feels too loud, hide that layer and keep trading. The indicator should feel like a friendly narrator: it highlights pressure, energy, and backdrop so you can handle entries, exits, and risk with a clear head.

The Price Action Toolkit™ toolkit features a powerful scanner designed to enhance your trading analysis:

1. MTF Scanner: This scanner analyzes multiple timeframes to identify and track trends across different periods.

Scanners are integral tools for traders seeking to refine their strategies and enhance their market analysis.

Settings

These scanners provides a comprehensive view of how market trends align and shift over various timeframes, helping traders make informed decisions based on a broader perspective.

The stripe is your weather report. It sits just beyond the band and darkens as the market leans one way. It’s deliberately minimal so it informs without shouting or crowding the pane.

Read it like this

• Green stripe that sticks: Favor with‑trend setups—breakouts, pullbacks that hold, and continuation flags. Demanding extra proof before fading keeps you out of trouble.

• Red stripe that sticks: Favor shorts or strict criteria for longs—supply retests, lower‑high failures, and breakdown follow‑through.

• Stripe fading or flipping: Conviction is weakening. Trade lighter, shorten holds, and be flexible with targets.

Edge cases

A stripe can briefly flicker around neutral during lunch hours or low‑energy segments; that doesn’t cancel a larger backdrop. Look for persistence, not single flips.

Most of the time, The Line lives near the center. That’s normal market rhythm. Inside the band, look to context layers for bias rather than treating the line alone as a signal generator.

When The Line spends time beyond the band, the tape is heated. Gradients make intensity visible without numbers, and the pane tint (optional) reminds you to respect risk.

✦/❖ markers show up only when volatility wakes up. In quiet markets they stay hidden. In charged markets they appear near the stripes so you immediately connect trend with energy.

Why you care

• Trend signals with a Pulse often travel farther—but risks and drawdowns expand. Use appropriate size and room.

This section standardizes the nudges you act on.

Two families

• Re‑entry markers: Triangles when The Line returns from outside back toward the band—useful for fades and for trend pullback timing.

Oscillator Concepts™ fuses several classic momentum indicators into a single normalized Line (−1…+1), then layers context modules—Participation, Trend Radar, Velocity Pulse, Fractal Map, Divergences, Signals, Themes, and Alerts—so you can read stretch, trend, and crowd activity at a glance without juggling multiple indicators.

The indicator computes profile-dependent components—RSI, MFI, MACD, CCI, TSI—normalizes each to an approximate [−1, +1] scale, then averages them with equal weights.

Welcome to the CandelaCharts Community!

This is the central hub where traders can connect, exchange ideas, and discuss strategies. Whether you're a beginner or an experienced trader, this community offers a space to learn, share insights, and grow together.

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Traders often use the highest and lowest price values from previous days, weeks, months, or specific periods as support and resistance levels.

The toolkit can provide these levels based on:

• The previous day

• The previous week

A five‑minute scalp and a weekly swing do not need the same sensitivity. Profiles set the pace so the line “breathes” with your plan and the chart you’re on.

Four choices

• Scalping: Quick and lively. Spots small pushes and quick flips. Great for fast screens, micro‑pullbacks, and active management.

Premium and Discount Zones identify and highlight three distinct price regions on a chart:

1. Premium Zone: This upper area represents higher price levels where assets are considered to be overvalued. Traders often look to sell or take profits in this zone, as prices are above the perceived fair value.

2. Equilibrium Zone: This central area marks the middle ground between the premium and discount zones. It reflects the fair market value where supply and demand are balanced. Traders may find it advantageous to enter trades or adjust positions in this zone.

Fibonacci retracements are levels derived from two price points using ratios from the Fibonacci sequence.

The toolkit allows users to display Fibonacci retracements, based on a range between one upper and one lower price extremity.

Settings

The Price Action Toolkit™ can alert users for multiple events relevant to the existing features in the toolkit.

You can configure alerts for the following key market events and conditions:

1. Change of Character (CHoCH) +B/-B

2. Break of Structure (BOS) +B/-B

3. Order Block Formed +B/-B

A divergence is a polite refusal. Price prints a new extreme, but The Line doesn’t back it up. That can hint at exhaustion, absorption, or stealth accumulation/distribution.

Quality over quantity

A stricter mode focuses on divergences built at meaningful distance from the band and filters casual mid‑range wiggles. The goal is fewer but clearer opportunities.

How to act

• Build a case: divergence + fading participation + softening stripe.

• Time it: use a re‑entry toward the band, a failure test at structure, or a simple “stop‑going” bar for trigger.

• Risk: place invalidation beyond the extreme that formed the divergence and scale out into nearby structure.

Expectations

Not every divergence leads to a full reversal. Many simply resolve into a pause or a two‑leg pullback. Trade the first turn, then reassess.

Visibility

Marks and traces are compact—easy to review, unobtrusive live. If you want a clean pane, show only confirmed marks.

Sessions, weeks, and months create natural chapters. The Fractal Map draws light dividers at those boundaries so you always know where you are in the story and can plan around opens, closes, and transitions.

The tool picks sensible dividers for your chart’s timeframe so you don’t have to babysit settings. On higher timeframes it scales to larger segments to keep things clean.

• Treat fresh segments like a reset; they often bring new posture.

• Combine with the stripe: a new week that starts with a stripe flip often behaves differently from the prior week.

• During review, scan where divergences and re‑entries cluster relative to dividers—this reveals patterns in your market.

Keep the lines subtle for live trading. When studying history, temporarily increase contrast, then dial it back.

Price Action Toolkit™ encompasses a range of liquidity-related concepts, all accessible through the Liquidity Concepts settings section. Each concept is detailed in the sections below for your reference.

Settings

Equal Highs & Lows

The toolkit identifies historical equal highs and lows based on swing points. These equal highs and lows can signal potential reversals and upcoming market structures, such as Change of Character (CHoCH) or Break of Structure (BOS).

To view longer-term equal highs and lows, simply increase the numerical value next to the toggle (default is 3).

Liquidity Prints

Liquidity Prints indicate areas where significant trading activity has occurred in more liquid zones, and are highlighted by the toolkit with distinct colored borders. These grabs can signal potential reversals:

• Bullish Liquidity Prints: Highlighted in blue, with borders extending from the price low to the minimum of the candle body. These grabs occur in demand areas and suggest a potential bullish reversal.

• Bearish Liquidity Prints: Highlighted in red, with borders extending from the price high to the maximum of the candle body. These grabs occur in supply areas and suggest a potential bearish reversal.

The simultaneous presence of both bullish and bearish liquidity grabs may signal market indecision.

Liquidity Sweeps

A liquidity sweep is a price movement aimed at capturing liquidity before reversing direction. This typically involves:

• Targeting Equal Highs: The price may reach or exceed previous highs to tap into buy-side liquidity but fails to sustain the move, leading to a reversal.

• Exceeding Highs: If the price closes above the highs, it may quickly reverse, often accompanied by strong selling momentum.

In both scenarios, the liquidity sweep is designed to capture and exhaust liquidity before the price changes direction.

Buyside & Sellside

Liquidity refers to the availability of orders at specific price levels that facilitate smooth transactions.

Liquidity often involves stop losses or pending orders, highlighting areas where buy or sell orders are concentrated. Smart money traders, like banks and institutions, target these liquidity pools to manage their positions.

There are two main types of liquidity:

• Buyside Liquidity: Levels where short sellers have their stop losses.

• Sellside Liquidity: Levels where long traders have their stop losses.

These liquidity pools often act as support or resistance and present trading opportunities.

Participation shading reflects commitment. Green bias = buyers doing the work. Red bias = sellers in charge. It’s about effort, not just direction.

You can focus on one source of activity at a time—money flow behavior, directional volume, or change in volume—or let the tool balance several and surface agreement automatically. The combined view highlights alignment and softens disagreement so you don’t overreact to one noisy input.

How to read it

• Rising line + clear green → constructive; continuation setups usually behave.

• Rising line + fading/ red → cautious; watch for stall, especially at structure or near the outer zone.

• Falling line + firm red → pressure; avoid counter‑trend longs unless the layer eases.

• Sudden color changes near calendar boundaries often precede behavior shifts—make note.

Practical use

When you plan a breakout trade, glance at participation first. If it’s limp or fighting your idea, wait. When you plan a fade, prefer to see participation tiring into the stretch.

What is CandelaCharts?

CandelaCharts is a premier provider of advanced trading indicators and tools designed to empower traders and investors in the financial markets. Our mission is to illuminate your trading journey with innovative solutions that enhance market analysis, improve decision-making, and ultimately, support your financial success. Here’s a detailed look at what makes CandelaCharts stand out:

Comprehensive Trading Indicators

At the core of CandelaCharts’s offerings are our sophisticated trading indicators. These tools are engineered to provide real-time insights and analytical support across various financial markets, including stocks, commodities, forex, and cryptocurrencies. Our indicators are crafted using advanced algorithms and data analytics to help traders identify market trends, forecast price movements, and make well-informed trading decisions. Whether you’re a seasoned trader or just starting, our indicators are designed to offer clarity and precision to enhance your trading strategy.

Trend Concepts is a comprehensive trend analysis toolkit for TradingView that combines four powerful, independent components to identify market direction, trend strength, and trading opportunities across all timeframes.

Bias Magnet identifies trend direction via an adaptive baseline with strength visualization and momentum polarity bars; Flux Trend detects reversals and continuations using ATR-based bands with gradient zones; Surge Waves tracks momentum through a two-pole filter that highlights sustained runs; and Velocity Bands identifies extreme conditions and mean reversion opportunities using dynamic deviation-based bands with re-entry and rejection signals.

The ICT Turtle Soup Model is a price action-based trading strategy introduced by Michael J. Huddleston, also known as the Inner Circle Trader (ICT). It is designed to capitalize on false breakouts of key swing highs or lows—often referred to as “liquidity grabs.”

Building on the original Turtle Soup concept, the ICT version incorporates smart money principles, focusing on market structure, liquidity, and timing.

Traders use this strategy to anticipate sharp reversals after stops are run beyond obvious support or resistance levels, making it a valuable tool for both intraday and swing trading.

The toolkit is able to detect the following blocks:

These zones often act as support and resistance levels, marking significant points of interest for traders.

The Imbalance Concepts Indicator is a comprehensive tool designed to help traders identify and analyze key price imbalances in the market.

This indicator incorporates several critical market concepts to aid in making informed decisions based on price action and volume analysis.

Together, these imbalance concepts provide a comprehensive view of market inefficiencies, price levels of interest, and potential turning points.

The Imbalance Concepts Indicator is ideal for traders looking to spot high-probability setups based on gaps, volume dynamics, and price action imbalances.

Metrics are displayed next to a block, positioned near the most recent historical price bar. These metrics reflect the accumulated volume within the interval used to create the block.

The volume information helps assess the significance of each block, with larger volumes indicating a more substantial block.

Additionally, the percentage shown indicates the proportion of the order block's volume relative to the total accumulated volume of all Volumetric Blocks on the chart.

This percentage provides a quick way to identify which Volumetric Blocks are more noteworthy and potentially more influential in the market.

Market price imbalances arise when there is a sharp discrepancy between supply and demand, causing the asset's price to diverge from its fair value, leading to market inefficiencies.

Generally, prices tend to return to these imbalanced areas in an attempt to restore equilibrium.

The toolkit is able to detect the following imbalances:

These zones often act as support and resistance levels, marking significant points of interest for traders.

The Block Concepts can alert users for multiple events relevant to the existing features in the toolkit.

You can configure alerts for the following key market events and conditions:

1. Order Block Formed +B/-B

2. Breaker Block Formed +B/-B

3. Swing Order Block Formed +B/-B

Set these alerts to stay on top of critical market conditions and enhance your trading strategy with timely notifications.

The model displays specific labels under certain conditions. Here’s a breakdown of the meaning behind each label.

C - Current Model Label: These models are generated and displayed based on the number of candles present on the Higher Time Frame (HTF).

R - Realtime Model Label: These models are created on the Lower Time Frame (LTF) for the same HTF candle. Although they may reach 2 standard deviations or the first liquidity level, they can be invalidated later within the same candle.

H - History Model Label: These models are derived from historical data.

The Block Concepts toolkit includes the following types of blocks, each representing different areas of potential support or resistance:

• Order Blocks

• Swing Order Blocks

• Breaker Blocks

Each of these block types is automatically detected and highlighted by the toolkit, allowing traders to quickly identify critical areas on the chart.

ICT weekly profiles are structured conceptual frameworks designed to outline typical patterns of price behavior over the course of a trading week.

These profiles serve as analytical tools, offering traders insights into recurring market tendencies and helping them identify potential opportunities and risks.

Each ICT weekly profile has distinctive characteristics that provide valuable clues for anticipating potential market movements, such as directional biases, consolidation phases, or volatility spikes.

It is crucial to emphasize, however, that these profiles are not fixed or guaranteed predictions. Instead, they act as flexible guides for understanding broader market tendencies.

Traders should apply these frameworks in conjunction with other technical and fundamental analysis tools, as well as sound risk management strategies, to make informed decisions in dynamic market conditions.

The ICT Daily Profiles by CandelaCharts rooted on the ICT teachings represent a pattern-based approach to trading that focuses on identifying and analyzing the key highs and lows of various intraday trading sessions.

These profiles provide a structured framework to understand how price action evolves across distinct periods, such as the 00:00–06:00 (Session I - Tokyo), 06:01–12:00 (Session II - London), 12:01–18:00 (Session III - NY), and 18:01–23:59 (Session IV - Syndey) sessions.

The day is divided into four main sessions to accurately identify potential highs and lows, ensuring precise probability detection.

By pinpointing the critical turning points in these sessions, traders gain insights into potential areas of liquidity, support, and resistance.

Market structure is fundamental to understanding price action. The Price Action Toolkit™ automatically detects and highlights real-time market structure on your chart, providing a clear view of market trends without relying on traditional technical analysis tools like moving averages.

Settings

Market structure helps traders identify both trend reversals and continuations through two key signals:

• Change of Character (CHoCH)

• Break of Structure (BOS)

These concepts are explained in detail in the subsections below.

Change Of Character (CHoCH)

A Change of Character (CHoCH), sometimes referred to as a "market structure shift," occurs when the price breaks a previous swing low in an uptrend (bullish CHoCH) or a previous swing high in a downtrend (bearish CHoCH), signaling a potential market reversal.

The Price Action Toolkit™ identifies two types of CHoCHs:

• Leading CHoCH (labeled as CHoCH): This occurs when there are no prior signs of reversal, such as a failed higher high (or lower high) in an uptrend, or a failed lower low (or higher low) in a downtrend.

• Supported CHoCH (labeled as CHoCH+): This is preceded by early signs of a market reversal, like a failed higher high (or lower high) in an uptrend or a failed lower low (or higher low) in a downtrend.

The distinction between the two lies in the relative position of prior swing highs or lows, providing different levels of confirmation for a potential trend change.

Break Of Structure (BOS)

A Break of Structure (BOS) primarily serves as a trend continuation signal. Unlike a CHoCH, a BOS occurs when the price breaks a previous swing high during an uptrend (bullish BOS), creating a new higher high, or breaks a previous swing low during a downtrend (bearish BOS), forming a new lower low. A BOS typically follows a CHoCH and indicates that the current trend is likely to continue.

It is common to see consecutive BOSs as they reinforce the ongoing trend.

Swing & Internal Structure

The Smart Money Concepts toolkit provides two distinct dimensions for analyzing market structure:

1. Internal Structure

2. Swing Structure

Internal Structure is based on shorter-term swing highs and lows, while Swing Structure focuses on longer-term points. Users can customize the lookback period for detecting swing points in both internal and swing structures.

• Internal Structures: Use a lookback range of 5 to 49.

• Swing Structures: Use a lookback range of 50 to 100.

Internal Structures are highlighted with dashed lines and labeled in a smaller text size, differentiating them from the more prominent labels and lines used for Swing Structures.

Block Concepts is a group of ICT Blocks that allows you to identify price zones where informed market participants accumulate orders, often serving as potential support or resistance levels.

The toolkit automatically highlights these areas, and they disappear once they are mitigated.

Settings

The Price Action Toolkit™ includes the following types of blocks, each representing different areas of potential support or resistance:

• Order Blocks

• Swing Order Blocks

• Breaker Blocks

Each of these block types is automatically detected and highlighted by the toolkit, allowing traders to quickly identify critical areas on the chart.

Order Blocks

Order Blocks are categorized into two types: Bullish Order Blocks and Bearish Order Blocks. Bullish Order Blocks typically form near swing lows and are considered potential support zones.

Conversely, Bearish Order Blocks usually appear near swing highs and are regarded as potential resistance areas.

To display longer-term Order Blocks, users can adjust the Length setting in the Order Blocks section. This setting determines the lookback period used for detecting swing points, which in turn constructs the Order Blocks.

Swing Order Blocks

A swing order block represents a key area on a price chart where significant order accumulation is believed to have occurred.

These zones are critical for traders, as they suggest areas where major market participants have placed large buy or sell orders.

The accumulation of these orders can exert considerable influence on future price movements, making swing order blocks valuable for identifying potential support or resistance levels.

Traders often base their decisions on these areas, anticipating that the presence of concentrated orders will impact the direction and strength of price trends.

Breaker Blocks

A breaker block occurs when an order block fails, resulting in a significant shift in market structure.

This concept marks a critical juncture where the price reverses its previous trend direction, often indicating the potential for a new trend to emerge.

For traders, breaker blocks represent key moments of transition in the market, offering strategic entry points for trades based on the expected continuation of the new trend.

By identifying breaker blocks, traders can capitalize on these shifts, positioning themselves to take advantage of the market's evolving dynamics.

Metrics

Metrics are displayed next to a block, positioned near the most recent historical price bar. These metrics reflect the accumulated volume within the interval used to create the block.

The volume information helps assess the significance of each block, with larger volumes indicating a more substantial block.

Additionally, the percentage shown indicates the proportion of the order block's volume relative to the total accumulated volume of all Volumetric Blocks on the chart.

This percentage provides a quick way to identify which Volumetric Blocks are more noteworthy and potentially more influential in the market.

Bias Magnet is an adaptive baseline component that tracks trend direction using half-trend style logic. It provides a clean, responsive line that hugs price without whipsaws, making it ideal for identifying trend direction and strength.

How It Works

Bias Magnet uses a sophisticated algorithm that:

• Tracks the highest high and lowest low within a dynamic period

• Adjusts the baseline based on price action and moving average relationships

• Calculates trend strength from slope and momentum

• Provides visual feedback through dynamic line transparency

Key Features

Adaptive Baseline

The baseline adapts to market conditions, moving up in uptrends and down in downtrends. It acts as dynamic support in bullish trends and dynamic resistance in bearish trends.

Trend Strength Calculation

Bias Magnet calculates trend strength (0–100) by analyzing:

• Slope magnitude: How steep the baseline is moving

• Momentum: The rate of change in the baseline direction

This strength value is visualized through line transparency—darker lines indicate stronger trends.

Flip Signals

When the trend changes direction, Bias Magnet displays visual signals:

• ▲ (Up Arrow): Bullish flip signal—trend has changed from bearish to bullish

• ▼ (Down Arrow): Bearish flip signal—trend has changed from bullish to bearish

These signals appear on the bar where the flip is confirmed, helping you catch trend changes early.

Polarity Bars

Polarity bars (☰) appear above or below the baseline to show momentum direction:

• Above baseline: Bullish momentum

• Below baseline: Bearish momentum

The intensity (transparency) of the bars reflects momentum strength—darker bars indicate stronger momentum. These bars use MFI (Money Flow Index) calculations to determine momentum direction and strength.

Flux Trend uses ATR-based bands to identify trend reversals and continuation setups. It creates dynamic zones that flip between bullish and bearish regimes, providing clear visual signals for trend changes and exit opportunities.

How It Works

Flux Trend calculates:

• A baseline using a Simple Moving Average (SMA)

• Upper and lower bands based on ATR (Average True Range) multiplied by a distance factor

• Trend state that flips when price crosses the bands

• Gradient-filled zones between the main and secondary bands

The indicator tracks when price enters and exits these zones, providing signals for both reversals and continuations.

Key Features

Dynamic Trend Bands

Flux Trend creates two bands:

• Main Band (Band 1): The primary trend line that flips position based on trend direction

• Secondary Band (Band 2): Creates a zone with the main band for entry/exit detection

Gradient-Filled Zones

The area between the two bands is filled with a gradient that:

• Bullish trend: Gradient from outer edge (lighter) to inner edge (darker)

• Bearish trend: Gradient from outer edge (lighter) to inner edge (darker)

These zones act as support in bullish trends and resistance in bearish trends.

Trend Flip Signals

When the trend changes direction, Flux Trend displays:

• ✦ (Star): Bull to bear flip—trend has changed from bullish to bearish

• ❖ (Diamond): Bear to bull flip—trend has changed from bearish to bullish

A connecting line shows the transition between the old and new band positions.

Exit Signals

Flux Trend detects when price leaves the zone after touching it:

• ✦ outside bands: Bullish exit signal—price left the zone after touching it in a bullish trend

• ❖ outside bands: Bearish exit signal—price left the zone after touching it in a bearish trend

These exit signals often indicate continuation in the trend direction.

Velocity Bands creates dynamic deviation-based support and resistance levels that adapt to market conditions. Using outlier-filtered standard deviation calculations, it identifies extreme price conditions and provides signals for mean reversion and reversal setups.

How It Works

Velocity Bands calculates:

• A weighted moving average (WMA) as the center line

• Normalized price deviation from the average

• Outlier filtering to remove extreme spikes

• Standard deviation bands at +1/+2 and -1/-2 levels

The bands dynamically adjust to market volatility, expanding in volatile conditions and contracting in calm markets.

Key Features

Dynamic Bands

Velocity Bands creates four levels:

• +2 Band (Upper Outer): Extreme overbought level

• +1 Band (Upper Inner): Moderate overbought level

• -1 Band (Lower Inner): Moderate oversold level

• -2 Band (Lower Outer): Extreme oversold level

The center line (mean) is displayed as a dotted line, providing a reference point.

Outlier Filtering

Before calculating bands, Velocity Bands filters out outliers (price moves beyond 4 standard deviations). This ensures the bands aren't distorted by extreme spikes or data errors, creating more stable and reliable levels.

Gradient Fills

The bands include gradient fills:

• Base fills: Subtle gradients between +1/+2 and -1/-2 bands

• Enhanced fills: When price is outside the bands, enhanced gradients highlight the extreme condition

Re-entry Signals

When price returns from extreme zones:

• ▼ (Down Arrow): Price re-enters from above the +2 band (bearish mean reversion)

• ▲ (Up Arrow): Price re-enters from below the -2 band (bullish mean reversion)

These signals suggest price is returning to normal levels after an extreme move.

Rejection Signals

When price enters a band but fails to hold:

• Rejection from upper band: Price entered the upper band but closed below it (bearish reversal)

• Rejection from lower band: Price entered the lower band but closed above it (bullish reversal)

These signals indicate potential reversals when price can't sustain moves into the bands.

The Balanced Price Range is a key concept in understanding how price behaves around certain levels that represent equilibrium or "fair value" in the market.

The idea behind BPR is to identify price ranges where both buying and selling pressures are balanced, indicating a period of consolidation or price acceptance.

In practice, it often shows up in areas where market makers have accumulated positions, and the price tends to oscillate around a central or equilibrium level.

ICT weekly profiles provide a structured way to analyze how markets typically behave in different phases of the trading week, allowing traders to align their strategies with the observed tendencies.

ICT Weekly Profiles

• Classic Tuesday Low Of The Week Bullish

• Classic Tuesday High Of The Week Bearish

• Wednesday Low Of The Week Bullish

• Wednesday High Of The Week Bearish

• Consolidation Thursday Reversal Bullish

• Consolidation Thursday Reversal Bearish

• Consolidation Midweek Rally Bullish

• Consolidation Midweek Rally Bearish

• Wednesday Weekly Reversal Bullish

• Wednesday Weekly Reversal Bearish

• Seek And Distroy Bullish Friday

• Seek And Distroy Bearish Friday

The ICT Turtle Soup Model is a reversal-based trading strategy developed by Michael J. Huddleston, known in the trading community as the Inner Circle Trader (ICT). Rooted in the concept of stop-hunting and liquidity manipulation, this strategy seeks to exploit failed breakouts at previous swing highs or lows.

Unlike traditional breakout systems that assume continuation, the Turtle Soup setup anticipates a sharp reversal after the market takes out a widely recognized level—such as a prior high or low—and then fails to hold beyond it.

This pattern is often a sign that large institutions, or "smart money," have engineered a liquidity run to trigger retail stop orders and enter positions at more favorable prices.

The ICT version enhances the original Turtle Soup concept by incorporating market timing elements, such as specific trading sessions (e.g., London or New York), time-of-day sensitivity, and higher timeframe context.

Fair Value Gaps (FVG) are market imbalances identified within a sequence of three candles.

These gaps occur when the wicks of the outer candles do not overlap the body of the central candle, creating a range between the wicks that marks the Fair Value Gap.

A bullish Fair Value Gap forms when the current low is higher than the high two bars prior.

Conversely, a bearish Fair Value Gap occurs when the current high is lower than the low two bars prior.

Opening Gaps are market imbalances identified by two consecutive candles with non-overlapping wicks, creating a visible gap or empty area.

These imbalances are frequently observed in stocks and in shorter timeframes of cryptocurrencies and forex pairs.

Volume Imbalances occur when two consecutive candles have non-overlapping bodies, but their wicks do overlap.

These imbalances are typically observed in stocks or in shorter timeframes of cryptocurrencies and forex pairs.

Order Blocks are categorized into two types: Bullish Order Blocks and Bearish Order Blocks. Bullish Order Blocks typically form near swing lows and are considered potential support zones.

Conversely, Bearish Order Blocks usually appear near swing highs and are regarded as potential resistance areas.

To display longer-term Order Blocks, users can adjust the Length setting in the Order Blocks section. This setting determines the lookback period used for detecting swing points, which in turn constructs the Order Blocks.

A breaker block occurs when an order block fails, resulting in a significant shift in market structure.

This concept marks a critical juncture where the price reverses its previous trend direction, often indicating the potential for a new trend to emerge.

For traders, breaker blocks represent key moments of transition in the market, offering strategic entry points for trades based on the expected continuation of the new trend.

By identifying breaker blocks, traders can capitalize on these shifts, positioning themselves to take advantage of the market's evolving dynamics.

In the context of the Fractal Range Model (FRM), the SMT (Smart Money Technique) serves as a crucial confluence indicator that strengthens the reliability of a formed model.

When an SMT signal aligns with a model, it signifies a high level of confidence in the direction of the market, indicating a strong and likely sustained trend.

The SMT acts as a confirmation tool that validates the directional bias provided by the Fractal Range Model. It helps identify the involvement of smart money — the institutional and sophisticated market participants whose actions often drive significant market moves.

When the SMT signal aligns with a specific model, such as a Sweep or CISD formation, it confirms the likelihood that the market will follow through in the indicated direction.

This confluence between the Fractal Range Model and SMT offers traders a more reliable and robust framework for predicting price action, providing clarity on which way the market is most likely to move.

The Fractal Range Model (FRM) Dashboard provides traders with essential, real-time information to help guide their decision-making and improve market analysis.

The dashboard is designed to display key data points, offering a comprehensive view of the current market conditions and the state of the chart.

The following key metrics are displayed:

1. Bias: This section indicates the overall market bias based on the current model and time frame. It helps traders quickly assess whether the market is trending bullish, bearish, or neutral, providing a clear directional view. Understanding the market bias helps traders align their strategy with the prevailing market conditions.

Once a model is formed, the Fractal Range Model (FRM) automatically generates projection levels based on standard deviations.

These projections are calculated from the CISD Low to the CISD High, offering a dynamic view of potential price movement and volatility.

The projections provide traders with valuable insight into possible future price ranges, helping to guide trade planning and decision-making.

Projection Setup and Customization

The ICT Weekly Profiles tool offers a comprehensive scanner designed to enhance trading insights by providing the following profile types:

• Former Profile

• Predicted Profile

• Actual Profile

Trend Concepts provides alert options for each component's key signals. All alerts fire once per bar close and include the symbol and timeframe in the message format: [SYMBOL TIMEFRAME] Signal Description.

Bias Magnet Alerts

The ICT New Day Opening Gap (NDOG) refers to the price gap between the closing price at 5:00 PM EST and the opening price at 6:00 PM EST in the New York trading session. This one-hour break occurs daily from Monday through Thursday due to a temporary halt in trading activity.

These opening gaps are significant because they often act like a magnet for price action—meaning the market tends to revisit and "fill" these gaps. This behavior is rooted in the concept of fair value gaps, as introduced by ICT (Inner Circle Trader), making NDOGs valuable for identifying high-probability trading setups.

Consequent Encroachment of NDOG

Consequent Encroachment refers to the 50% retracement level—the midpoint of the New Day Opening Gap. This level is known to be one of the most reactive price points and can be used to anticipate strong market reactions such as reversals or rejections.

The Fractal Range Model offers a powerful set of time-based filters that allow users to focus exclusively on market patterns that occur during specific times of the day.

These filters enable traders to tailor their analysis to particular trading sessions, ensuring that the data they view is relevant to their preferred trading hours.

Filters

At its core, the model focuses on Market Swing Points, which represent crucial turning points in the market where price action shifts direction.

These points provide insight into potential reversals and momentum changes, allowing traders to identify key support and resistance areas.

Recognizing these swings is critical in anticipating future price movements and understanding the market’s underlying structure.

By combining the identification of swing points, detecting sweeps, interpreting candlestick behavior, and understanding shifts in market delivery, the FRM offers a dynamic and adaptive approach to trading, enabling traders to make more precise decisions and navigate the complexities of the market with greater confidence.

A swing order block represents a key area on a price chart where significant order accumulation is believed to have occurred.

These zones are critical for traders, as they suggest areas where major market participants have placed large buy or sell orders.

The accumulation of these orders can exert considerable influence on future price movements, making swing order blocks valuable for identifying potential support or resistance levels.

Traders often base their decisions on these areas, anticipating that the presence of concentrated orders will impact the direction and strength of price trends.

ICT (Inner Circle Trader) Weekly Profile templates are analytical frameworks that categorize and describe typical patterns of price action observed during a trading week.

These templates are based on recurring market behaviors and are designed to help traders anticipate potential movements in the market by recognizing these patterns.

These features work together to turn raw price action into a repeatable plan. Each piece is modular, but the edge comes from using them together—bias → context → trigger → management—consistently across timeframes.

• HTF Candles

• Mean (Equilibrium 0.5)

• C‑area

The Imbalance Concepts can alert users for multiple events relevant to the existing features in the toolkit.

You can configure alerts for the following key market events and conditions:

1. Fair Value Gap (FVG) Formed +B/-B

2. Inversion Fair Value Gap (IFVG) Formed +B/-B

3. Balanced Price Range (BPR) Formed +B/-B

ICT Daily Profiles is a premium toolkit derived from the ICT Intraday Profiles methodology, designed to provide traders with in-depth insights into market behavior under specific conditions.

By leveraging the principles outlined in the ICT Intraday Profiles video series—available here:

• (London)

• (NY)

This toolkit offers a structured approach to analyzing daily price action.

The tool focuses on identifying recurring patterns and behavioral tendencies in financial markets, enabling traders to anticipate key movements, refine their strategies, and make informed decisions.

Trend Concepts offers multiple color themes to customize the visual appearance of all components. Themes apply consistently across Bias Magnet, Flux Trend, Surge Waves, and Velocity Bands, creating a cohesive visual experience.

Available Themes

Default

The model assigns specific labels based on certain conditions.

Below is an explanation of what each label represents.

C - Current Model Label: These models are generated and displayed based on the number of candles present on the Higher Time Frame (HTF).

R - Realtime Model Label: These models are created on the Lower Time Frame (LTF) for the same HTF candle. Although they may reach 2 standard deviations or the first liquidity level, they can be invalidated later within the same candle.

H - History Model Label: These models are derived from historical data.

The ICT Unicorn Model represents a refined intraday trading strategy grounded in smart money principles. It leverages time-of-day precision, liquidity runs, and institutional order flow to offer compelling trade opportunities.

The ICT Unicorn Model is a high-probability, intraday trading setup rooted in the Smart Money Concepts developed by Michael J. Huddleston (ICT). It aims to capitalize on liquidity sweeps, market structure shifts, and institutional price imbalances during specific market sessions.

The Inner Circle Trader (ICT) methodology, developed by Michael J. Huddleston, centers around the concept of "Smart Money" — the actions of institutional traders who drive the market.

Among ICT's vast library of trading concepts, the Unicorn Model stands out as a specific intraday or short-term trade setup designed to capture high-probability moves during key times of the trading day.

Explore the structure, components, logic, and application of the ICT Unicorn Model, offering a roadmap for traders looking to implement it within a broader smart money framework.

These features work together to turn raw price action into a repeatable plan.

• HTF Candles

• Liquidity Levels

• Sweeps

The Fractal Range Model (FRM) is an all-encompassing and sophisticated trading framework that incorporates multiple market dynamics to provide a deeper understanding of price movements.

This model is built around several key principles, including Market Swing Points, Sweeps, Candle Mean, and Change in State of Delivery (CISD), which together offer a nuanced and effective approach to trading.

Once a model is formed, the Turtle Soup Model automatically generates standard deviation levels based exclusively on the wicks of the MSS High and MSS Low.

By anchoring standard deviation to the wicks, the Turtle Soup Model captures the full range of price fluctuations, incorporating potential volatility and broader market movements.

This approach provides traders with a more comprehensive understanding of the market’s potential behavior, highlighting areas where price could realistically move in the near term.

Whether for planning exits, managing risk, or evaluating price trends, these wick-based standard deviations are a core feature of the Turtle Soup Model, providing valuable insights into future price movements and assisting traders in executing strategies with greater confidence.

Oscillator Concepts provides alert options for overbought/oversold conditions and divergence signals. All alerts fire once per bar close and include the symbol and timeframe in the message format: [SYMBOL TIMEFRAME] Signal Description.

Overbought/Oversold Alerts

OS/OB Conditions

Triggers when: The oscillator enters an extreme zone

• Overbought: Oscillator crosses above +1

• Oversold: Oscillator crosses below -1

Alert messages:

• [SYMBOL TIMEFRAME] OS/OB Condition — Entered Overbought (> +1) [bearish condition]

• [SYMBOL TIMEFRAME] OS/OB Condition — Entered Oversold (< -1) [bullish condition]

Use case: Know when the oscillator enters an extreme state. Useful for identifying when price is in overbought or oversold territory.

OS/OB Signals

Triggers when: The oscillator returns from an extreme zone back inside the ±1 band

• From Overbought: Oscillator crosses back below +1

• From Oversold: Oscillator crosses back above -1

Alert messages:

• [SYMBOL TIMEFRAME] OS/OB Signal — Overbought re-entry back inside band (bearish)

• [SYMBOL TIMEFRAME] OS/OB Signal — Oversold re-entry back inside band (bullish)

Use case: Mean reversion opportunities. Often used as a potential mean-reversion cue when price returns from extremes.

Divergence Alerts

Divergence Conditions

Triggers when: A regular divergence pattern is detected at pivots (raw detection, no high-probability filter)

• Bullish Divergence: Price makes lower low (LL) while oscillator makes higher low (HL) at pivot lows

• Bearish Divergence: Price makes higher high (HH) while oscillator makes lower high (LH) at pivot highs

Alert messages:

• [SYMBOL TIMEFRAME] Divergence Condition — Bullish Regular Divergence (raw)

• [SYMBOL TIMEFRAME] Divergence Condition — Bearish Regular Divergence (raw)

Use case: Early divergence detection. Alerts as soon as a divergence pattern is detected, without filtering.

Note: Requires the Divergences component to be enabled in the Components group.

Divergence Signals

Triggers when: A regular divergence is confirmed by the high-probability filter

• Bullish Divergence: Price LL + Oscillator HL, with at least one oscillator pivot outside the ±1 band

• Bearish Divergence: Price HH + Oscillator LH, with at least one oscillator pivot outside the ±1 band

Alert messages:

• [SYMBOL TIMEFRAME] Divergence Signal — Bullish Regular Divergence (confirmed)

• [SYMBOL TIMEFRAME] Divergence Signal — Bearish Regular Divergence (confirmed)

Use case: High-probability divergence signals. More selective than Conditions alerts, requiring at least one oscillator pivot to be outside the ±1 band. Fewer false positives.

Note: Requires the Divergences component to be enabled in the Components group. The high-probability filter can be toggled in the Divergences settings.

Trend Concepts is a comprehensive trend analysis toolkit that combines four powerful components to identify market direction, strength, and trading opportunities.

The indicator features Bias Magnet—an adaptive baseline that tracks trend direction with dynamic strength visualization and momentum polarity bars. Flux Trend uses ATR-based bands with gradient-filled zones to mark trend reversals and continuation exits. Surge Waves applies a two-pole filter to detect sustained momentum runs and highlight strong directional moves. Velocity Bands creates dynamic deviation-based support and resistance levels with re-entry and rejection signals for mean reversion and reversal setups.

Each component operates independently, allowing you to build a custom trend analysis system tailored to your trading style.

The integrated dashboard provides real-time market context through trend consensus (majority vote from enabled components), ADX strength, volatility analysis, volume trends, and momentum indicators.

Trading profiles automatically optimize all component parameters for Scalping, Intraday, Swing, or Investment strategies, while Custom mode gives you full manual control.

Multiple color themes and comprehensive alert options make this a complete solution for trend-following traders across all timeframes.

Turning raw price action into a repeatable plan—powered by these features.

• HTF Candles

• Liquidity Levels

• Sweeps

• Double‑Purge Sweeps

• MSS

• HTF PD Arrays

• LTF PD Arrays

• Projections

• Auto-bias

• Realtime Models

• History

• Killzone Filters

• Alerts

Together, these features map bias, context, and execution into one consistent routine—so you can read the range, time the shift, and ride the expansion.

The Turtle Soup Model follows a well-defined lifecycle, outlining its current state and determining if a trade opportunity is valid.

The lifecycle consists of four phases:

• Formation

• Pre-Invalidation

• Invalidation

• Success

1. Formation

The Formation phase marks the beginning of the Turtle Soup setup. During this phase, the model identifies key components that suggest a potential reversal, such as:

• Sweeps: Price moves that capture liquidity, often above or below significant swing points, signaling potential trend shifts.

• Market Structure Shift (MSS): A structural shift that indicates a potential change in market direction.

Once identified, the model calculates Projections and Liquidity Levels, providing insight into potential price movements and the overall market bias.

2. Pre-Invalidation

In the Pre-Invalidation phase, the model is considered at risk of failing. This occurs when the price moves above the sweep high but the sweep itself remains intact (not fully broken). In this case:

• The model is viewed as unreliable but not yet fully invalidated.

• The sweep high remains significant, indicating the setup may still be valid, but it’s close to being invalidated.

3. Invalidation

The Invalidation phase occurs when key conditions for the setup are not met, signaling that the trade idea is no longer valid. The model is invalidated if:

• The price fails to reach the 2 Standard Deviation level.

• The price doesn’t hit the first identified liquidity level.

• The price breaks above the sweep high.

When the model is invalidated, it is crucial for traders to abandon the setup, as the trade no longer aligns with the expected price behavior.

4. Success

The Success phase happens when the trade setup aligns with the expected market movement, confirming that the model is valid. Success is reached when:

• The price reaches the 2 Standard Deviation level.

• The price hits the first identified SSL/BSL liquidity level.

At this point, the model’s predictions are confirmed, and traders can execute the trade with higher confidence.

By understanding the Formation, Pre-Invalidation, Invalidation, and Success phases, traders can effectively manage positions and capitalize on high-probability setups identified by the Turtle Soup Model.

This structured approach helps reduce risk and increases the likelihood of successful trades.

Understanding the terminology used in this model is essential for its successful application. This section explains the key concepts and abbreviations.

Sweep

A Sweep is a price action pattern characterized by a temporary move beyond the high or low of the previous candle, typically through the wick, followed by a retreat and close back within that candle’s range. This movement often represents a false breakout or a liquidity grab, indicating potential market reversals or traps for unsuspecting traders.

In a Bullish Sweep, price briefly breaks above the prior candle’s high but fails to hold, closing back inside the previous range. In contrast, a Bearish Sweep occurs when price dips below the prior low but quickly recovers to close within that candle’s range.

Double Purge (D-purge)

A D-Purge is a more complex form of Sweep where price action aggressively tests both the high and low extremes of the previous candle through its wicks before closing inside that candle’s range. This pattern implies a comprehensive clearing or "purging" of orders on both sides of the market, often signaling a strong liquidity hunt or shakeout.

The last side swept in this process (either the high or the low) indicates the likely direction of market interest or momentum following the purge. D-Purges help reveal hidden liquidity and potential shifts in market control between buyers and sellers.

Market Structure Shift (MSS)

Market Structure Shift (MSS) refers to a change in the underlying market trend or price action behavior that signals a potential reversal or significant shift in momentum.

In ICT trading, a Market Structure Shift occurs when the market breaks its previous structure by failing to make a new high or low, then reverses and breaks the opposite side’s structure, indicating a shift from, for example, a bullish to a bearish trend or vice versa.

Smart Money Technique (SMT)

ICT SMT (Smart Money Technique) Divergence occurs when two positively correlated assets, observed on the same timeframe, display conflicting market structures.

For example, while one asset forms a higher low, the other forms a lower low—indicating a divergence in strength between the two. A common instance of this can be seen between pairs like ES/NQ and GC/SI, where such a discrepancy may signal potential market inefficiency or a forthcoming reversal.

PD Arrays

ICT PD Arrays refer to a group of price action concepts - such as Fair Value Gaps, Order Blocks, Breaker Blocks, Propulsion Blocks, Volume Imbalances, Opening Gaps - within the Inner Circle Trader (ICT) framework that identify areas of price inefficiency, imbalance, or displacement on the chart.

Standard Deviations

Standard Deviations measure the expected variability of price movement from a key reference point, such as the CISD level. They serve as important tools for traders to identify potential price targets and exit levels by highlighting zones where price is statistically likely to encounter support or resistance.

Liquidity

Liquidity refers to price zones where a large concentration of buy and sell orders accumulates, generating significant market interest and often attracting price action. These zones typically align with key levels such as swing highs and lows, previous day or week highs and lows, or other important structural points where traders place orders.

Toolkits

Models

Statistics

Investments

Imbalance Concepts is an aggregation of ICT Imbalances like FVG, IFVG, BPR, etc. Imbalances in market prices occur when there is a significant discrepancy between supply and demand, causing the asset to deviate from its fair value. This imbalance can create inefficiencies in the market.

Typically, prices will move back toward the area where the imbalance took place in an effort to restore equilibrium. These regions of imbalance often act as support and resistance levels, providing key areas of interest for traders.

Settings

The toolkit is able to detect the following imbalances:

• Fair Value Gaps (FVG)

• Inversion Fair Value Gaps (IFVG)

• Opening Gaps (OG)

• Volume Imbalances (VI)

Fair Value Gaps (FVG)

Fair Value Gaps (FVG) are market imbalances identified within a sequence of three candles.

These gaps occur when the wicks of the outer candles do not overlap the body of the central candle, creating a range between the wicks that marks the Fair Value Gap.

A bullish Fair Value Gap forms when the current low is higher than the high two bars prior.

Conversely, a bearish Fair Value Gap occurs when the current high is lower than the low two bars prior.

Inversion Fair Value Gaps (IFVG)

Inverse Fair Value Gaps (FVGs) are essentially mitigated Fair Value Gaps that can serve as potential retest areas.

When a bullish Fair Value Gap is mitigated, it creates a bearish inverse Fair Value Gap, indicating that the price might retrace upward to retest the area.

Conversely, a mitigated bearish Fair Value Gap results in a bullish inverse Fair Value Gap, suggesting that the price could retrace downward to retest the area.

Opening Gaps (OG)

Opening Gaps are market imbalances identified by two consecutive candles with non-overlapping wicks, creating a visible gap or empty area.

These imbalances are frequently observed in stocks and in shorter timeframes of cryptocurrencies and forex pairs.

Volume Imbalances (VI)

Volume Imbalances occur when two consecutive candles have non-overlapping bodies, but their wicks do overlap.

These imbalances are typically observed in stocks or in shorter timeframes of cryptocurrencies and forex pairs.

Balanced Price Range (BPR)

The Balanced Price Range is a key concept in understanding how price behaves around certain levels that represent equilibrium or "fair value" in the market.

The idea behind BPR is to identify price ranges where both buying and selling pressures are balanced, indicating a period of consolidation or price acceptance.

In practice, it often shows up in areas where market makers have accumulated positions, and the price tends to oscillate around a central or equilibrium level.

Mitigation

Once the price breaches a highlighted imbalance area, it is considered "mitigated" and will automatically be removed.

The Price Action Toolkit™ indicator allows users to customize the mitigation conditions through the Mitigation setting. Available options include:

• Average: For a bullish imbalance, when the closing price is below the midpoint of the price range, it indicates that despite upward momentum, the price closed lower than the average, suggesting a potential buying opportunity. Conversely, for a bearish imbalance, if the closing price is above the midpoint, it means that despite downward pressure, the price closed higher than the average, signaling a potential selling opportunity. Identifying these conditions helps traders recognize significant market imbalances and make more informed decisions.

• Wick: When the low price breaches the bottom boundary for a bullish imbalance, it signals that the price has dipped below a key support level. This breach may indicate a potential upward reversal as buyers enter the market at lower prices. Conversely, when the high price breaches the top boundary for a bearish imbalance, it means the price has exceeded a crucial resistance level. This situation could lead to a downward reversal due to increased selling pressure. Identifying these breaches helps traders spot significant market imbalances and make more informed trading decisions.

The Turtle Soup Model accommodates multiple timeframe alignments, each tailored to assess market trends with varying levels of detail.

The Turtle Soup Model supports the following timeframe alignments:

These timeframes guide traders and investors in spotting key price moves, from quick shifts to major trends.

Available Alerts

You can configure alerts for the following available model alerts:

1. Fractal Range Model Formation +B/-B

2. Fractal Range Model Successful

3. Fractal Range Model Invalidated

4. Fractal Range Model Formation Sweep

5. Fractal Range Model Formation D-purge

Set these alerts to stay on top of critical market conditions and enhance your trading strategy with timely notifications.

Setup Alerts

To set up alerts using the Fractal Range Model on TradingView, follow these steps:

1. Create a New Alert Click the “+ Alert” button located at the top of your TradingView chart interface.

2. Set the Condition In the "Condition" dropdown menu, select Fractal Range Model as the indicator you want to trigger the alert.

3. Choose the Timeframe Under the “Interval” setting, choose your preferred timeframe (e.g., 1H, 4H, 1D) based on your trading strategy or the timeframe you want to monitor.

Surge Waves uses a two-pole filter to smooth price action and detect sustained momentum runs. It identifies when price is making strong directional moves by tracking consecutive bars in the same direction, making it ideal for catching momentum-based trading opportunities.

How It Works

Surge Waves applies a two-pole filter (a type of low-pass filter) to price data, which:

• Smooths out noise and minor price fluctuations

• Preserves the underlying trend direction

• Tracks consecutive rising or falling bars

• Detects sustained runs of 5+ bars in the same direction

The filtered line is displayed within a filled tube envelope that provides visual context for momentum direction.

Key Features

Two-Pole Filter

The filter smooths price action using a mathematical approach that:

• Reduces lag compared to simple moving averages

• Maintains responsiveness to trend changes

• Filters out market noise effectively

Filled Tube Envelope

A colored tube surrounds the filter line:

• Green tube: Bullish momentum (filter is rising)

• Red tube: Bearish momentum (filter is falling)

The tube width is adjustable and based on ATR, making it adaptive to market volatility.

Sustained Run Detection

Surge Waves tracks consecutive bars:

• Rising bars: Counts how many consecutive bars the filter is rising

• Falling bars: Counts how many consecutive bars the filter is falling

When a run reaches 5+ consecutive bars, it's considered a sustained momentum move.

Visual Markers

• Square shape: Marks sustained rising runs (bullish momentum)

• Diamond shape: Marks sustained falling runs (bearish momentum)

• Small diamond signals: Confirmation signals when runs begin (appear on the bar where the run reaches 5 bars)

Trading Profiles are pre-configured settings that automatically optimize all component parameters based on your trading style. Instead of manually adjusting each component's settings, you can select a profile that matches your approach, and the indicator will automatically configure Flux Trend length, Surge Waves length, and Velocity Bands deviation period.

Scalping

Settings: Flux Trend: 30, Surge Waves: 30, Velocity Bands: 300

Designed for fast, responsive trading on lower timeframes. The Scalping profile uses shorter periods to catch quick price movements and provide faster signals. Ideal for 1m, 5m, and 15m charts where speed is essential.

Intraday

Settings: Flux Trend: 50, Surge Waves: 50, Velocity Bands: 500

The default balanced profile for day trading. Provides a good balance between responsiveness and stability. Works well on 15m, 30m, 1h, and 4h timeframes for intraday trading strategies.

Swing

Settings: Flux Trend: 80, Surge Waves: 70, Velocity Bands: 800

Optimized for swing trading with slower, more stable parameters. Reduces noise and false signals while maintaining trend-following capabilities. Best suited for 4h, daily, and weekly charts for multi-day positions.

Investment

Settings: Flux Trend: 100, Surge Waves: 100, Velocity Bands: 1200

Long-term focus with the slowest, most stable settings. Designed for position trading and investment strategies. Ideal for daily, weekly, and monthly timeframes where you want to filter out short-term noise and focus on major trends.

Custom

When Custom is selected, the indicator uses the manual input values you set for each component:

• Flux Trend Length (default: 60)

• Surge Waves Length (default: 50)

• Velocity Bands Deviation Length (default: 500)

Use Custom mode when you need specific parameter values that don't match any preset profile, or when you want to fine-tune the indicator for a particular instrument or market condition.

Choosing the Right Profile

• Match your timeframe: Higher timeframes generally work better with Swing or Investment profiles, while lower timeframes benefit from Scalping or Intraday profiles.

• Match your trading style: If you prefer quick entries and exits, use Scalping or Intraday. If you prefer holding positions longer, use Swing or Investment.

• Experiment: You can use a higher timeframe profile on a lower timeframe chart for more stable signals, or vice versa for more responsive signals.

Available Alerts

You can configure alerts for the following available model alerts:

1. Turtle Soup Model Formation +B/-B

2. Turtle Soup Model Successful

3. Turtle Soup Model Invalidated

4. Turtle Soup Model Formation Sweep

5. Turtle Soup Model Formation D-purge

Set these alerts to stay on top of critical market conditions and enhance your trading strategy with timely notifications.

Setup Alerts

To set up alerts using the Turtle Soup Model on TradingView, follow these steps:

1. Create a New Alert Click the “+ Alert” button located at the top of your TradingView chart interface.

2. Set the Condition In the "Condition" dropdown menu, select Turtle Soup Model as the indicator you want to trigger the alert.

3. Choose the Timeframe Under the “Interval” setting, choose your preferred timeframe (e.g., 1H, 4H, 1D) based on your trading strategy or the timeframe you want to monitor.

The Turtle Soup Model (TSM) utilizes two distinct sets of PD Arrays: one for Higher Time Frames (HTF) and one for Lower Time Frames (LTF).

These arrays, referred to as:

• FVG (Fair Value Gap)

• IFVG (Inverse Fair Value Gap)

are crucial components of market analysis and trading strategy.

HTF PD Arrays

HTF PD Arrays serve as key levels of interest, highlighting significant market zones where sharp price movements (sweeps) are likely to occur.

These arrays represent high-probability reversal points when touched by a price sweep. A sweep that reaches an HTF PD Array signals a strong likelihood of price reversal, making these levels vital for identifying major turning points in the market.

Traders can use HTF PD Arrays to monitor for price reactions. Their role in signaling market reversals or retracements makes them essential in determining when a trend may change direction.

LTF PD Arrays

LTF PD Arrays are instrumental in pinpointing entry points. When a model, such as a Sweep or Market Structure Shift (MSS), forms on the chart, the Turtle Soup Model highlights nearby PD Arrays that align with the newly formed structure.

These arrays act as reference levels for entering trades, allowing traders to make informed decisions about positioning.

Whether entering in the direction of the trend or anticipating a reversal, these levels offer key insights for optimal entry timing.

Key Points

• HTF PD Arrays (FVG/IFVG): These arrays function as critical support or resistance levels. When touched by a market sweep, they suggest potential reversals or retracements. They are essential for identifying key price levels where significant market shifts may occur.

• LTF PD Arrays: These arrays provide entry points, helping traders identify precise levels to enter the market once a sweep or market structure shift (MSS) occurs. The proximity of these arrays to newly formed market structures enables traders to make timely, informed entry decisions.

By combining HTF PD Arrays for reversal identification and LTF PD Arrays for precise entries, the Turtle Soup Model equips traders with a comprehensive framework for both market analysis and execution.

This dual approach ensures that traders can effectively time their entries, whether they are capitalizing on trend continuations or anticipating market reversals.

The Turtle Soup Model Dashboard provides traders with essential, real-time information to support decision-making and enhance market analysis.

Designed to present key data points, the dashboard offers a comprehensive overview of current market conditions and the chart’s state, allowing traders to make informed and timely decisions.

Bias

This section indicates the overall market bias based on the current model and timeframe. It helps traders quickly assess whether the market is trending bullish, bearish, or neutral, offering a clear directional view. Understanding the market bias enables traders to align their strategy with prevailing market conditions.

Current Model

The dashboard highlights the current model identified by the Turtle Soup Model, such as a Sweep or Market Structure Shift (MSS). This feature lets traders instantly know which market structure is active, helping them understand the underlying market dynamics and identify potential opportunities for trade.

Remaining Time Until HTF Candle Close

This section displays a countdown showing the time remaining until the higher timeframe (HTF) candle closes. It provides traders with valuable insights into how much time is left for the current candle to complete, assisting with the timing of entries, exits, or model validations. This feature is especially useful for traders focused on higher timeframes who need to make decisions based on the closure of key candles.

Sessions Filter

This filter allows users to view trading data within specific market sessions (Killzones), helping traders focus on the most relevant data for their trading hours.

Model Status Filter

This filter enables users to focus on specific states or conditions of the Turtle Soup Model, streamlining the analysis of key trading patterns and ensuring the dashboard highlights only the most pertinent information.

Asset and Date

This section provides details on the asset currently being analyzed and the date of the chart. It ensures that traders are working with up-to-date market information, relevant to their analysis and trade planning.

The Turtle Soup Model Dashboard consolidates critical information, including market bias, the current model, and the remaining time until the HTF candle closes. By presenting these data points in a clear, streamlined format, traders can make more informed decisions and better navigate market conditions with confidence and precision. The added filters and time-sensitive features further enhance the dashboard's utility, ensuring that traders are equipped to act quickly and effectively in a dynamic market environment.

ICT missing weekly profiles are supplementary profiles designed to fill the gaps left by the standard ICT weekly profiles.

These profiles provide additional insights by covering the missing data, helping traders to achieve a more comprehensive understanding of weekly market dynamics.

ICT Missing Weekly Profiles

• Monday Low Tuesday High Bullish

• Monday High Tuesday Low Bearish

• Monday Low Wednesday High Bullish

• Monday High Wednesday Low Bearish

• Monday Low Thursday High Bullish

• Monday High Thursday Low Bearish

• Tuesday Low Wednesday High Bullish

• Tuesday High Wednesday Low Bearish

• Tuesday Low Friday High Bullish

• Tuesday High Friday Low Bearish

• Wednesday Low Thursday High Bullish

• Wednesday High Thursday Low Bearish

• Monday Low Friday High Bullish

• Monday High Friday Low Bearish

• Monday High/Low Range

• Tuesday High/Low Range

• Wednesday High/Low Range

• Thursday High/Low Range

• Friday High/Low Range

By addressing these gaps, ICT missing weekly profiles enhance the overall analysis, enabling traders to identify potential opportunities and refine their market strategies.

The Turtle Soup Model allows traders to filter potential setups by specific Killzones, such as Asia, London, NY AM, NY Launch, and NY Open.

These Killzones correspond to key periods of market activity, where liquidity and volatility are typically more pronounced, giving traders an advantage in identifying high-probability setups.

Additionally, the model provides the flexibility to filter by customer-defined hours ranges, allowing users to tailor the analysis to their preferred trading times or specific market conditions.

This feature enhances the model’s adaptability, ensuring that traders can focus on the timeframes that align with their strategy and trading objectives, improving the overall effectiveness of their trades.

The ICT Daily Profiles tool is a robust scanner designed to enhance trading insights through the following profile types:

Former Profile Provides the detected profile from the previous day, serving as a reference for analyzing past market behavior and identifying recurring patterns.

Predicted Profile Utilizes advanced daily profile detection algorithms to generate forward-looking profiles, helping traders anticipate potential market movements.

Actual Profile Offers a real-time representation of the current daily profile, enabling traders to track market activity as it happens.

Future Profile Employs the Markov Chain statistical method to project future market behavior, delivering a probabilistic outlook to support strategic planning.

By integrating historical data, predictive analytics, real-time monitoring, and statistical projections, the ICT Daily Profiles tool empowers traders with a comprehensive approach to market analysis and decision-making.

The ICT New Week Opening Gap (NWOG) refers to the price gap between the closing price on Friday at 4:59 PM EST and the opening price on Sunday at 6:00 PM EST. This gap typically forms due to external factors such as geopolitical events, economic news, or unexpected developments over the weekend, which can lead to significant price shifts when the market reopens.

The NWOG highlights a period where no trading activity occurs—from the Friday market close to the Sunday market open—creating a liquidity void. This gap represents a disconnection in price action and is considered a fair value gap by ICT (Inner Circle Trader) standards.

To identify a NWOG:

• Mark the Friday closing price at 4:59 PM EST.

The Fractal Range Model follows a specific lifecycle, which highlights the current state of the model and determines whether a trade opportunity is valid.

The model's lifecycle includes the following statuses:

1. Formation

2. Pre-Invalidation

3. Invalidation

The Fractal Range Model (FRM) provides two distinct sets of PD Arrays: one for Higher Time Frames (HTF) and one for Lower Time Frames (LTF).

These arrays, referred to as:

• FVG (Fair Value Gap)

• IFVG (Inverse Fair Value Gap)

play a critical role in market analysis and trading strategy.

Built‑in palettes

Carefully chosen color sets work on light and dark charts and keep meaning consistent across modules. They aim for clarity and legibility rather than flash.

Blue - Orange

Grasping the terminology used in this model is crucial for its effective application. This section outlines key concepts and abbreviations.

Sweep

A Sweep is a price action pattern where the price temporarily moves beyond the high or low of the previous candle through its wick but then retreats and closes back within the range of that previous candle. This behavior often signals a false breakout or a market test of liquidity at those levels, suggesting potential reversals or traps for traders.

A Bullish Sweep occurs when the price briefly exceeds the previous candle’s high but fails to sustain above it, closing inside the prior range. Conversely, a Bearish Sweep happens when the price dips below the previous candle’s low but then closes within that candle’s range. Sweeps help traders identify moments where price attempts to push past support or resistance but lacks conviction.

Double Purge (D-purge)

A D-Purge is a more complex form of Sweep where price action aggressively tests both the high and low extremes of the previous candle through its wicks before closing inside that candle’s range. This pattern implies a comprehensive clearing or "purging" of orders on both sides of the market, often signaling a strong liquidity hunt or shakeout.

The last side swept in this process (either the high or the low) indicates the likely direction of market interest or momentum following the purge. D-Purges help reveal hidden liquidity and potential shifts in market control between buyers and sellers.

Change In State of Delivery (CISD)

CISD represents a shift in the market’s price delivery mechanism, reflecting a transition in dominance from buyers to sellers or vice versa. This occurs when the price closes on the opposite side of the opening price relative to the previous delivery state.

For example, a Bullish CISD happens when the price closes above the open of a bearish candle, indicating a potential switch from selling pressure to buying pressure. Similarly, a Bearish CISD marks the reverse, with the price closing below the open of a bullish candle. CISD signals are important because they highlight changes in market sentiment or momentum that may lead to trend shifts.

Mean

The Mean is the midpoint price of the previous candle, calculated as the average of its high and low. It serves as a reference point or baseline against which current price action is measured. The Mean helps traders identify balance areas or fair value zones from which price may either revert or continue trending. If price consistently respects or reacts around this midpoint, it can indicate equilibrium between buyers and sellers, making the Mean a useful level for anticipating support or resistance.

C-area

The C-area refers to the price zone lying between the current candle’s opening price and the midpoint of the previous candle. This area represents a transitional region where price may consolidate or pause before committing to a direction. The C-area can indicate uncertainty or indecision in the market, as the price navigates between the new candle’s open and the established midpoint from the prior period. Monitoring how price behaves within this zone can provide clues about potential breakout or reversal setups.

PD Arrays

ICT PD Arrays refer to a group of price action concepts - such as Fair Value Gaps, Inversion Fair Value Gaps - within the Inner Circle Trader (ICT) framework that identify areas of price inefficiency, imbalance, or displacement on the chart.

Smart Money Technique (SMT)

ICT SMT (Smart Money Technique) Divergence occurs when two positively correlated assets, observed on the same timeframe, display conflicting market structures.

For example, while one asset forms a higher low, the other forms a lower low—indicating a divergence in strength between the two. A common instance of this can be seen between pairs like GBP/USD and EUR/USD, where such a discrepancy may signal potential market inefficiency or a forthcoming reversal.

Projections

Projections are estimates or forecasts of future price movement derived from the dispersion or deviation of price relative to a key reference point, such as the CISD level. They typically use statistical measures like standard deviations to predict the likely extent of price swings or targets.

Projections help traders anticipate where price may reach in terms of potential support or resistance and assess whether the current price movement is extreme or sustainable. When price reaches a high-probability projection level (e.g., two standard deviations away), it may signal exhaustion or a turning point.

Liquidity

Liquidity describes price zones where a large volume of buy and sell orders accumulate, creating significant market interest and often acting as magnets for price action. These areas usually correspond to notable price levels such as swing highs and lows, previous day or week highs and lows, or other structural points where traders cluster orders.

Liquidity zones are critical because they often become battlegrounds for buyers and sellers, resulting in price reversals, breakouts, or stops being triggered. Recognizing liquidity areas helps traders understand where major market moves are likely to originate or conclude.

Trend Concepts provides various signals across its four components to help you identify trading opportunities. Each component generates specific signals that can be used independently or combined for higher confidence setups.

Bias Magnet Signals

Flip Signals

• ▲ (Up Arrow): Bullish flip—trend changed from bearish to bullish. The baseline crosses above price and confirms.

• ▼ (Down Arrow): Bearish flip—trend changed from bullish to bearish. The baseline crosses below price and confirms.

Polarity Bars

• ☰ above baseline: Bullish momentum indicated by MFI-based polarity bars

• ☰ below baseline: Bearish momentum indicated by MFI-based polarity bars

The intensity (transparency) of the bars reflects momentum strength—darker bars indicate stronger momentum.

Flux Trend Signals

Trend Flip Signals

• ✦ (Star): Bull to bear flip—trend changed from bullish to bearish. Price crosses below the lower band.

• ❖ (Diamond): Bear to bull flip—trend changed from bearish to bullish. Price crosses above the upper band.

A connecting line shows the transition between the old and new band positions.

Exit Signals

• ✦ outside bands: Bullish exit—price left the zone after touching it in a bullish trend, suggesting continuation

• ❖ outside bands: Bearish exit—price left the zone after touching it in a bearish trend, suggesting continuation

Surge Waves Signals

Sustained Run Markers

• Square marker: Sustained rising run detected (5+ consecutive bars rising)

• Diamond marker: Sustained falling run detected (5+ consecutive bars falling)

Confirmation Signals

• Small diamond signal: Appears when a sustained run begins (on the bar where the run reaches 5 consecutive bars)

Velocity Bands Signals

Re-entry Signals

• ▼ (Down Arrow): Price re-enters from above the +2 band (bearish mean reversion signal)

• ▲ (Up Arrow): Price re-enters from below the -2 band (bullish mean reversion signal)

Rejection Signals

• Rejection from upper band: Price entered the upper band but closed below it (bearish reversal signal)

• Rejection from lower band: Price entered the lower band but closed above it (bullish reversal signal)

Inverse Fair Value Gaps (FVGs) are essentially mitigated Fair Value Gaps that can serve as potential retest areas.

When a bullish Fair Value Gap is mitigated, it creates a bearish Inverse Fair Value Gap, indicating that the price might retrace upward to retest the area.

Conversely, a mitigated bearish Fair Value Gap results in a bullish Inverse Fair Value Gap, suggesting that the price could retrace downward to retest the area.

This Fractal Range Model is designed to analyze and interpret price action patterns through various components, each of which plays a critical role in identifying market trends and providing actionable insights.

Below are the key components that make up the algorithm:

• Sweep

• D-purge

ICT Daily Profiles provide a systematic framework for analyzing market behavior across various intraday sessions, enabling traders to align their strategies with recurring patterns and tendencies observed within a single trading day.

The ICT Daily Profiles toolkit encompasses all possible high/low combinations that can occur within a single day, offering a more comprehensive approach compared to ICT's primary focus on the London and NY sessions.

ICT Daily Profiles

• Session I High Session II Low Bearish

• Session I High Session III Low Bearish