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CandelaCharts - Turtle Soup Model

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📝 Overview

The ICT Turtle Soup Model indicator is a precision-engineered tool designed to identify high-probability reversal setups based on ICT’s renowned Turtle Soup strategy.

The Turtle Soup Model is a classic reversal setup that exploits false breakouts beyond previous swing highs or lows. It targets areas where retail traders are trapped into breakout trades, only for the price to reverse sharply in the opposite direction.

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Price briefly breaks a previous high (for short setups) or low (for long setups), triggering stop orders and pulling in breakout traders. Once that liquidity is taken, smart money reverses price back inside the range, creating a high-probability fade setup.

📦 Features
  • Liquidity Levels: Projects forward-looking liquidity levels after a Turtle Soup model is formed, highlighting potential price targets. These projected zones act as magnet levels—areas where price is likely to reach based on the liquidity draw narrative. This allows traders to manage exits and partials with more precision.
  • Market Structure Shift (MSS): Confirms reversal strength by detecting a bullish or bearish MSS after a sweep. Acts as a secondary confirmation to filter out weak setups.
  • Custom TF Pairing: Choose your own combination of entry timeframe and context timeframe. For example, trade 5m setups inside a 1h HTF bias — perfect for aligning microstructure with macro intent.
  • HTF & LTF PD Arrays: Displays HTF PD Arrays (e.g., Fair Value Gaps, Inversion Fair Value Gaps) to serve as confluence zones.
  • History: Review and backtest past Turtle Soup setups directly on the chart. Toggle historical models on/off to study model behavior across different market conditions.
  • Killzone Filter: Limit signals to specific trading sessions or time blocks (e.g., New York AM, London, Asia, etc). Avoid signals in low-liquidity or choppy environments.
  • Standard Deviation: Calculates and projects four levels of standard deviation from the point of model confirmation. These zones help identify overextended moves, mean-reversion opportunities, and confluence with liquidity or PD arrays.
  • Dashboard: The dashboard displays the active model type, remaining time of the HTF candle, current bias, asset name, and date—providing real-time context and signal clarity at a glance.


⚙️ Settings

Core
  • Status: Filter models based on status
  • Bias: Controls what model type will be displayed, bullish or bearish
  • Fractal: Controls the timeframe pairing that will be used
  • High Probability Models: Detects and plots only the high-probability models


Sweeps
  • Sweep: Shows the sweep that forms a model
  • I-sweep: Controls the visibility of invalidated sweeps
  • D-purge: Plots the double purge sweeps
  • S-area: Highlights the sweep area


Liquidity
  • Liquidity: Displays the liquidity levels that belong to the model


MSS
  • MSS: Displays the Market Structure Shift for a model


History
  • History: Controls the number of past models displayed on the chart


Filters
  • Asia: Filter models based on Asia Killzone hours
  • London: Filter models based on London Killzone hours
  • NY AM: Filter models based on NY AM Killzone hours
  • NY Launch: Filter models based on NY Launch Killzone hours
  • NY PM: Filter models based on NY PM Killzone hours
  • Custom: Filter models based on user Custom hours


HTF
  • Candles: Controls the number of HTF candles that will be visible on the chart
  • Candles T: Displays the model’s third timeframe candle, which serves as a confirmation of directional bias
  • NY Open: Display True Day Open line
  • Offset: Controls the distance of HTF from the current chart
  • Space: Controls the space between HTF candles
  • Size: Controls the size of HTF candles
  • PD Array: Displays ICT PD Arrays
  • CE Line: Style the equilibrium line of PD Array
  • Border: Style the border of the PD Array


LTF
  • H/L Line: Displays on the LTF chart the High and Low of each HTF candle
  • O/C Line: Displays on the LTF chart the Open and Close of each HTF candle
  • PD Array: Displays ICT PD Arrays
  • CE Line: Style the equilibrium line of PD Array
  • Border: Style the border of the PD Array


Standard Deviation
  • StDev: Controls standard deviation of available levels
  • Labels: Controls the size of standard deviation levels
  • Lines: Controls the line widths and color of standard deviation levels


Dashboard
  • Panel: Display information about the current model


💡 Framework

The Turtle Soup Model is designed to detect and interpret false breakout patterns by analyzing key price action components, each playing a vital role in identifying liquidity traps and generating actionable reversal signals.

The model incorporates the following timeframe pairing:
  • 15s - 5m - 15m
  • 1m - 5m - 1H
  • 2m - 15m - 2H
  • 3m - 30m - 3H
  • 5m - 60m - 4H
  • 15m - 1H - 8H
  • 30m - 3H - 12H
  • 1H - 4H - 1D
  • 4H - 1D - 1W
  • 1D - 1W - 1M
  • 1W - 1M - 6M
  • 1M - 6M - 12M


Below are the key components that make up the model:
  • Sweep
  • D-purge
  • MSS
  • Liquidity
  • Standard Deviation
  • HTF & LTF PD Arrays


The Turtle Soup Model operates through a defined lifecycle that identifies its current state and determines the validity of a trade opportunity.

The model's lifecycle includes the following statuses:
  • Formation (grey)
  • Invalidation (red)
  • Pre-Invalidation (purple)
  • Success (green)


By incorporating the phases of Formation, Invalidation, and Success, traders can effectively manage risk, optimize position handling, and capitalize on the high-probability opportunities presented by the Turtle Soup Model.

⚡️ Showcase

Introducing the Turtle Soup Model — a powerful trading tool engineered to detect high-probability false breakout reversals. This indicator helps you pinpoint liquidity sweeps, confirm market structure shifts, and identify precise entry and exit points, enabling more confident, informed, and timely trading decisions.

LTF PD Array

LTF PD Arrays are essential for model formation—a valid Turtle Soup setup will only trigger if a qualifying LTF PD Array is present near the sweep zone.

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HTF PD Array

HTF PD Arrays provide macro-level context and are used to validate the direction and strength of the potential reversal.

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Timeframe Alignment

In the Turtle Soup trading model, timeframe alignment is an essential structural component. The model relies on multi-timeframe context to identify high-probability reversal setups based on failed breakouts.

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High-Probability Model

A high-probability setup forms when key elements align: a Sweep, Market Structure Shift (MSS), LTF and HTF PD Arrays.

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Killzone Filters

Filter Turtle Soup Models based on key market sessions: Asia, London, New York AM, New York Launch, and New York PM. This allows you to focus on high-liquidity periods where smart money activity is most likely to occur, improving both the quality and timing of your trade setups.

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Unlock your trading edge with the Turtle Soup Model — your go-to tool for sharper insights, smarter decisions, and more confident execution in the markets.

🚨 Alerts

This script offers alert options for all model types. The alerts need to be set up manually from TradingView.

Bearish Model

A bearish model alert is triggered when a model forms, signaling a high sweep, MS,S and LTF PD Array.

Bullish Model

A bullish model alert is triggered when a model forms, signaling a low sweep, MSS and LTF PD Array.

⚠️ Disclaimer

These tools are exclusively available on the TradingView platform.

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