# ICT Turtle Soup: Fading a Liquidity Sweep · DT Academy

> Turtle soup explained: Connors and Raschke's Street Smarts rule, how ICT uses the name, and how to tell a failed break from a real one.

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Lesson 11Turtle soup: fading a liquidity sweep

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# Turtle soup: fading a liquidity sweep

Lesson 11 · 6 min read · By DT Terminal

Trade the failed break of an old high or low. The setup comes from Connors and Raschke's Street Smarts (1995); ICT uses the name loosely.

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Chapter 1 of 7

## Where the name comes from

**Turtle soup** is a reversal trade after price breaks an old high or low, takes the liquidity resting there, and **fails to hold beyond it**.

**It is not an ICT invention.** The name comes from Laurence Connors and Linda Bradford Raschke's book *Street Smarts* (1995). It pokes fun at the Turtles, traders who followed a 20-day breakout system: turtle soup **trades the breakouts that fail**.

ICT later borrowed the name for his own liquidity-sweep reversals. This lesson gives you both versions, so you can test each as a written rule.

**Credit the source.** Turtle soup is Connors and Raschke's setup, from 1995. ICT uses their name for a looser, discretionary version.

Chapter 2 of 7

## The original rule

The Street Smarts buy rule, on daily bars, as the course research summarises it:

1. Today makes a **new 20-day low**.
2. The prior 20-day low is **at least 4 sessions old**.
3. An **entry stop** sits back above the old low, so you are only filled if price trades back up through it.

The entry stop is the clever part: **you never buy the break, only its failure**, once price is back above the level. Upside down, the same idea fades a failed new 20-day high.

Example 1 below follows these steps on sample gold. Any stop or target beyond the entry is your own rule.

Chapter 3 of 7

## How ICT uses the name

ICT uses "turtle soup" for **any liquidity sweep of an obvious old high or low**: buy-side liquidity above highs, sell-side liquidity below lows, as in [Liquidity the ICT way](https://www.thedtterminal.com/academy/ict-liquidity). The basics of sweeps are in [Day 13, liquidity](https://www.thedtterminal.com/academy/liquidity).

|  | Street Smarts | ICT use |
| --- | --- | --- |
| The level | The prior 20-day low or high | Any obvious old high or low: a session low, the previous day’s high, equal lows |
| The trigger | An entry stop back through the old level | A **close back inside**, usually with a market structure shift |
| Timeframe | Daily bars | Any timeframe |
| Rules | Fixed and written | Discretionary |

**Discretion is where the risk is.** A rule you can write down, like the original, is a rule you can test. The ICT use only becomes testable once you **write your own version of each row**.

Chapter 4 of 7

## Failed, or still breaking

Every turtle soup starts as a break that looks real. **Only what happens next** tells them apart.

Turtle soup

### A failed break, against one still breaking

- The old low or high
- Bullish shift
- Bearish shift

A liquidity sweep of an old low

faded with a long

A liquidity sweep of an old high

faded with a short

Turtle soup

breaks the old low, closes back above it

Liquidity sweep, then shift

the ICT use: then a close above the last lower high

Still breaking

no close back above yet: too early to fade

Real break

closes below and keeps going

**The top two rows are setups. The bottom two are not.** A break that is still closing beyond the level has not failed, and a real break never does.

Schematic candles, not market data. The old high column is the old low column turned upside down.

Chapter 5 of 7

## The original rule, worked

Sample candles, not a real session.

Worked example

### Example 01: `XAUUSD` D1: the Street Smarts rule

The worked example, with every number walked through, is in the app.

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**Step by step**

The lowest low of the last 20 sessions is 3,962.40, made 11 sessions earlier, so it passes the 4-session test. A day trades down to 3,951.80, a new 20-day low. The next day trades back up through the buy stop, filling the order, and closes at 3,978.40. With a stop just under the new low, at 3,950.80, the risk is 11.600 per ounce. This is an illustration, not a trade to take.

Chapter 6 of 7

## The ICT version, worked

Sample candles, not a real session, in New York time (EDT).

Worked example

### Example 02: `GBPUSD` M15: a liquidity sweep of the London low, ICT style

The worked example, with every number walked through, is in the app.

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**Step by step**

The old low forms at 03:30 during the London session. The 08:45 liquidity sweep reaches 1.27020 and closes back above at 1.27190. The 09:30 candle closes at 1.27440, above the last lower high of 1.27380.

New York and London change their clocks on different dates, so for about three weeks a year the London open lands an hour later on a New York clock.

Chapter 7 of 7

## Fading too early, and testing it

The classic mistake is **fading a breakout before it has failed**, while price still closes below the old low. Stops cluster beyond obvious highs and lows, and triggering them can speed a move up: **a fast run through the level, not a reversal**.

So test both versions on the same market, and **log the breaks that kept going too**.

Replay old lows bar by bar

Replay a few months of `XAUUSD` on D1, marking each new 20-day low and whether price traded back through the old one.

Make the failure a written condition

Add a During Trading rule such as "No fade until a candle closes back inside the old level". An early entry then counts as a broken rule.

**Go deeper**

The evidence on stops comes from research by the Federal Reserve Bank of New York: stops cluster beyond obvious highs and lows, and triggering them can speed a move up. **It does not say the run will reverse.**

Test the original entry stop against the ICT close-and-shift version. In the replay, check each old low's age, and note whether price traded back through it within the next session. Then try the ICT version on M15.

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