Turtle Soup ICT Strategy [TradingFinder] FVG + CHoCH/CSD🔵 Introduction
The ICT Turtle Soup trading setup, designed in the ICT style, operates by hunting or sweeping liquidity zones to exploit false breakouts and failed breakouts in key liquidity Zones, such as recent highs, lows, or major support and resistance levels.
This setup identifies moments when the price breaches these liquidity zones, triggering stop orders placed (Stop Hunt) by other traders, and then quickly reverses direction. These movements are often associated with liquidity sweeps that create temporary market imbalances.
The reversal is typically confirmed by one of three structural shifts : a Market Structure Shift (MSS), a Change of Character (CHoCH), or a break of the Change in State of Delivery (CISD). Each of these structural shifts provides a reliable signal to interpret market intent and align trading decisions with the expected price movement. After the structural shift, the price frequently pullback to a Fair Value Gap (FVG), offering a precise entry point for trades.
By integrating key concepts such as liquidity, liquidity sweeps, stop order activation, structural shifts (MSS, CHoCH, CISD), and price imbalances, the ICT Turtle Soup setup enables traders to identify reversal points and key entry zones with high accuracy.
This strategy is highly versatile, making it applicable across markets such as forex, stocks, cryptocurrencies, and futures. It offers traders a robust and systematic approach to understanding price movements and optimizing their trading strategies
🟣 Bullish and Bearish Setups
Bullish Setup : The price first sweeps below a Sell-Side Liquidity (SSL) zone, then reverses upward after forming an MSS or CHoCH, and finally pulls back to an FVG, creating a buying opportunity.
Bearish Setup : The price first sweeps above a Buy-Side Liquidity (BSL) zone, then reverses downward after forming an MSS or CHoCH, and finally pulls back to an FVG, creating a selling opportunity.
🔵 How to Use
To effectively utilize the ICT Turtle Soup trading setup, begin by identifying key liquidity zones, such as recent highs, lows, or support and resistance levels, in higher timeframes.
Then, monitor lower timeframes for a Liquidity Sweep and confirmation of a Market Structure Shift (MSS) or Change of Character (CHoCH).
After the structural shift, the price typically pulls back to an FVG, offering an optimal trade entry point. Below, the bullish and bearish setups are explained in detail.
🟣 Bullish Turtle Soup Setup
Identify Sell-Side Liquidity (SSL) : In a higher timeframe (e.g., 1-hour or 4-hour), identify recent price lows or support levels that serve as SSL zones, typically the location of stop-loss orders for traders.
Observe a Liquidity Sweep : On a lower timeframe (e.g., 15-minute or 30-minute), the price must move below one of these liquidity zones and then reverse. This movement indicates a liquidity sweep.
Confirm Market Structure Shift : After the price reversal, look for a structural shift (MSS or CHoCH) indicated by the formation of a Higher Low (HL) and Higher High (HH).
Enter the Trade : Once the structural shift is confirmed, the price typically pulls back to an FVG. Enter a buy trade in this zone, set a stop-loss slightly below the recent low, and target Buy-Side Liquidity (BSL) in the higher timeframe for profit.
🟣 Bearish Turtle Soup Setup
Identify Buy-Side Liquidity (BSL) : In a higher timeframe, identify recent price highs or resistance levels that serve as BSL zones, typically the location of stop-loss orders for traders.
Observe a Liquidity Sweep : On a lower timeframe, the price must move above one of these liquidity zones and then reverse. This movement indicates a liquidity sweep.
Confirm Market Structure Shift : After the price reversal, look for a structural shift (MSS or CHoCH) indicated by the formation of a Lower High (LH) and Lower Low (LL).
Enter the Trade : Once the structural shift is confirmed, the price typically pulls back to an FVG. Enter a sell trade in this zone, set a stop-loss slightly above the recent high, and target Sell-Side Liquidity (SSL) in the higher timeframe for profit.
🔵 Settings
Higher TimeFrame Levels : This setting allows you to specify the higher timeframe (e.g., 1-hour, 4-hour, or daily) for identifying key liquidity zones.
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filter s:
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
In the indicator settings, you can customize the visibility of various elements, including MSS, FVG, and HTF Levels. Additionally, the color of each element can be adjusted to match your preferences. This feature allows traders to tailor the chart display to their specific needs, enhancing focus on the key data relevant to their strategy.
🔵 Conclusion
The ICT Turtle Soup trading setup is a powerful tool in the ICT style, enabling traders to exploit false breakouts in key liquidity zones. By combining concepts of liquidity, liquidity sweeps, market structure shifts (MSS and CHoCH), and pullbacks to FVG, this setup helps traders identify precise reversal points and execute trades with reduced risk and increased accuracy.
With applications across various markets, including forex, stocks, crypto, and futures, and its customizable indicator settings, the ICT Turtle Soup setup is ideal for both beginner and advanced traders. By accurately identifying liquidity zones in higher timeframes and confirming structure shifts in lower timeframes, this setup provides a reliable strategy for navigating volatile market conditions.
Ultimately, success with this setup requires consistent practice, precise market analysis, and proper risk management, empowering traders to make smarter decisions and achieve their trading goals.
Turtle
Turtle Money ManagementThe Turtle Trading approach* is a trend following system that uses volatility for position size. *(Richard Dennis & William Eckhardt )
Turtle traders use the N unit system for risk management, which has its own advantages. This indicator offers beginners a simple interface that uses the same logic. Using ATR (Average True Range) to measure volatility.
The indicator shows the suggested position size and stop-loss price. You need to activate position line to see how it behaved in the past. Information about the Turtle system shows that it works in a daily candle. Intraday candles can be misleading (for ATR) because of this indicator use daily ATR by default. I leave the choice to you.
Limits recommended by Turtle Traders
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Single Trade % 2 Maximum risk
Single Market % 4 Maximum risk
Closely Correlated Markets % 6 Maximum risk
Loosely Correlated Markets % 10 Maximum risk
Single Direction – Long or Short % 12 Maximum risk
海龟头寸 (turtle position)Determine the position of the product to purchase according to:
1. max loss that you could tolerate
2. max volatility that you could tolerate (defined as the multiple of the current ATR)
For example:
current ATR = $5
max loss = $1000
volatility multiple = 2
The position will be
p = $1000 / $5 / 2 = 100 (shares)
Donchian Channels Strategy - Long Term TrendFor Educational Purposes. Results can differ on different markets and can fail at any time. Profit is not guaranteed.
This only works in a few markets and in certain situations. Changing the settings can give better or worse results for other markets. This is a longer term trend following strategy that uses Donchian Channels for trend following and uses the upper and lower bands to find price breakouts to enter the market and then uses the middle band as a trailing stop to exit. DCs are known as the original trend following strategy made by Richard Donchian.
Usually the middle band uses the same length of the upper and lower bands in its calculation but I included the default option of using a middle band that is double the length of the other bands, but also an option to use the regular input length that most Donchian strategies use if needed. If long term trends are somehow found, this longer middle band lets the profits run longer and lets you see where the long trends were at if the market had any. The double lengthed middle band looks surprisingly very similar to a 3x ATR trailing stop, which is the recommended setting Wilder suggested for trend following. If a good ATR stop or other trailing stop can't be found, this longer middle band can act as a substitute for it.
For some reason I can't seem to find anything related to Donchian strategies on here despite the popularity and simplicity of it, not even a single working one to my liking, so I made my own. It seems this strategy only works in trending markets. I intentionally handpicked a market that the backtest does well on to illustrate the potential it might have for other markets where trending following strategies might work on and what to expect the results in those might be. Trend following strategies are said to have high profits but at the same time lower accuracy due to the failure rate of being able to catch the right trend. If you all got any suggestions or feedback please let me.
[SCREENER] TAD SYSTEM (Shariah MYX)TAD SYSTEM
TAD stands for TURTLE, ATOM and DUCK
With the three BUY arrows aligned accordingly with the TURTLE, ATOM and DUCK indicators, this triggers BUY signal
With the three SELL arrows aligned accordingly with the TURTLE, ATOM and DUCK indicators, this triggers SELL signal
F1 TURTLE
F1 ATOM
F1 DUCK
Volatility GuppyBased on my previous script "Turtle N Normalized," this script plots the CM SuperGuppy on the value of N to identify changing trends in the volatility of any instrument.
Turtle rules taken from an online PDF:
"The Turtles used a concept that Richard Dennis and Bill Eckhardt called N to represent the underlying volatility of a particular market.
N is simply the 20-day exponential moving average of the True Range, which is now more commonly known as the ATR. Conceptually, N represents the average range in price movement that a particular market makes in a single day, accounting for opening gaps. N was measured in the same points as the underlying contract.
The Turtles built positions in pieces which we called Units. Units were sized so that 1 N represented 1% of the account equity. Thus, a unit for a given market or commodity can be calculated using the following formula:
Unit = 1% of Account/(N x Dollars per Point)"
To normalize the Unit formula, this script instead takes the value of (close/N). Dollars per point = 1 for stocks and crypto, but will change depending on the contract specifications for individual futures .
"Since the Turtles used the Unit as the base measure for position size, and since those units were volatility risk adjusted, the Unit was a measure of both the risk of a position, and of the entire portfolio of positions."
When the EMA's are green, volatility is decreasing.
When the EMA's are red, volatility is increasing.
When the EMA's are grey, the trend is changing.
Turtle N NormalizedSimple script that calculates the normalized value of N. Rules taken from an online PDF containing the original Turtle system:
"The Turtles used a volatility-based constant percentage risk position sizing algorithm. The Turtles used a concept that Richard Dennis and Bill Eckhardt called N to represent the underlying volatility of a particular market.
N is simply the 20-day exponential moving average of the True Range, which is now more commonly known as the ATR. Conceptually, N represents the average range in price movement that a particular market makes in a single day, accounting for opening gaps. N was measured in the same points as the underlying contract.
The Turtles built positions in pieces which we called Units. Units were sized so that 1 N represented 1% of the account equity. Thus, a unit for a given market or commodity can be calculated using the following formula:
Unit = 1% of Account/(N x Dollars per Point)"
To normalize the Unit formula, this script instead takes the value of (close/N). Dollars per point = 1 for stocks and crypto, but will change depending on the contract specifications for individual futures.
"Since the Turtles used the Unit as the base measure for position size, and since those units were volatility risk adjusted, the Unit was a measure of both the risk of a position, and of the entire portfolio of positions."
When the value of N is high, volatility is low and you should be more risk-on.
When the value of N is low, volatility is high and you should be more risk-off.
Turtle Donchian ChannelDonchian channel with Turtle trading style: buy long when price is higher than high 20 candles (green up arrow), and sell short when price is lower than low 10 candles (red down arrow).
Turtle Strategy Short Sell VersionThis is a short-sell version of the strategy based on the famous turtle system.
www.tradingblox.com
In a nutshell, it a trend trading system where you are shorting on strength (in the downtrend), selling on
weakness (that it might be reversing).
positions should be entered when the price crosses under the 20-day low (S1 low) or 55-day low (S2 low).
positions should be exited when the prices crosses over the 10-day high (S1 high) or 20-day high (S2 high)
you can add positions at every unit (measured by multiple of n, where n=1 ATR)
stops should be placed at 2*n above every position entered, when the stop is hit exit your entire position.
positions should be entered everytime price crosses under S1 or S2, with one exception:
if the last trade was an S1 trade and it was a winning trade, skip the next trade unless the price crosses
under S2, if that is the case, you should take it.
S1 and S2 levels are also configurable for high and lows.
N multiple for stops and pyramid are also configurable
To change this from a strateg to a study:
1) uncomment the next line and comment out the strategy line.
2) at the end of the file comment out the last 2 lines
study(title="Turtle Study Short", overlay=true)
Real TurtleThere are a few different attempts at the turtle strategy on here, but none that I have seen thus far correctly follow the strategy as I know it. This version uses a stop order to trail out of the position by moving the stop order to match the exit channel or stoploss as the N*2( ema of True Range * 2). This version of turtle strategy also uses stop orders for entry on either side in order to enter at optimal time. The ability to specify a backtest period was borrowed from another script, I grabbed it so long ago I no longer remember from whom i borrowed it, if it was yours I will credit you if you PM me.
This version unlike others also allows you to specify a risk % so you only risk that percentage of your equity in a trade, as calculated from your stoploss.
Disclaimer: I have published several scripts in the past when i was first learning pinescript and they are all horrible please ignore those. I would delete them, but TV doesn't allow you to delete.
Turtle SystemFirst pinescript strategy I've ever written so still learning what is possible.
This strategy is based on the famous turtle system and tried to stay true
to the rules within the confines of what pinescript will allow me to do.
Features:
Green lines represents the 20/55 day highs (configurable)
Red lines represent the 10/20 day lows (configurable)
Purple line represents stop (defaults to 2N away configurable)
Pyramids up to 5 long positions (each 1N away configurable).
Arrows:
Up Arrow Green - 20 day long position entered
Up Arrow Purple - 55 day long position entered
Down Arrow Green - Winning trade exited out.
Down Arrow Red - Losing Trade either stopped out or exited out.
Code tracks successful wins as it is only allowed to enter positions if the last trade was not a wining trade.
One limitation, only supports Long trades although wouldn't be a lot of work to also make it support Short. NASDAQ:AAPL
Love to hear feedback on improvements, particularly to make it more robust.
Ema cross strat / Turtle Trading This is just a simple EMA cross strategy which is meant to be similar to Turtle Trading Strategy.
It uses in default 4 Hour 21 / 10 EMA to long or short. This is not perfect but in the long run it will profit. Works best in bull market.
LINK TO ALERT :
Consecutive Highs/LowsTrack consecutive new highs/lows outside the Donchian range. Fans of the oldschool Turtle Strategy should enjoy the visualization.
Same logic as my "Walking the Bands" script, just with Donchian breaks instead of Bollinger tags.
EMA Indicators with BUY sell SignalCombine 3 EMA indicators into 1. Buy and Sell signal is based on
- Buy signal based on 20 Days Highest High resistance
- Sell signal based on 10 Days Lowest Low support
Input :-
1 - Short EMA (20), Mid EMA (50) and Long EMA (200)
2 - Resistance (20) = 20 Days Highest High line
3 - Support (10) = 10 Days Lowest Low line
Price Channel v2Added parameters for source of highest and lowest line.
It's usefull for ultra volatile markets like cryptocurrencies and penny stocks. Using close price as source helps to filter out false breakout signals in turtle trading strategy.
