Change in State of Delivery CISD ICT [TradingFinder] Liquidity 1🔵 Introduction
🟣 What is CISD ?
Change in State of Delivery (CISD) is a key concept in technical analysis, similar to Change of Character (ChoCh) and Market Structure Shift (MSS) in the ICT (Inner Circle Trader) and Smart Money trading styles. Like ChoCh and MSS, CISD helps traders identify critical changes in market structure and make timely entries into trades.
To determine the CISD Level, traders typically review the last 1 to 4 candles to identify the first positive or negative candle. The CISD Level is then set using the opening price of the next candle.
In this version of the indicator, support and resistance levels are defined based on liquidity, which includes patterns such as SFP (Swing Failure Pattern), fake breakout, and false breakout.
Bullish CISD :
Bearish CISD :
🔵 How to Use
🟣 Bullish CISD (Change in State of Delivery Upward)
In Bullish CISD, the trend shifts from bearish to bullish after the price hits a liquidity zone, typically indicated by patterns such as SFP, fake breakout, or false breakout.
The steps to identify Bullish CISD are as follow s:
Identify the liquidity zone (SFP, fake breakout).
Review the candles and find the first positive candle.
Set the CISD Level using the opening price of the next candle after the positive candle.
Confirm the change in state of delivery when the price closes above the CISD Level.
Enter the trade after CISD confirmation.
🟣 Bearish CISD (Change in State of Delivery Downward)
In Bearish CISD, the trader looks for a shift from a bullish to a bearish trend. This change typically occurs when the price hits a liquidity level, indicated by patterns such as SFP or false breakout.
The steps to identify Bearish CISD are :
Identify the liquidity zone.
Review the candles and find the first negative candle.
Set the CISD Level using the opening price of the next candle after the negative candle.
Confirm the change in state of delivery when the price closes below the CISD Level.
Enter a short trade after CISD confirmation.
🟣 CISD Compared to ChoCh and MSS (CISD Vs ChoCh/ MSS)
CISD, ChoCh, and MSS are all tools for identifying trend changes in the market, but they have some differences :
CISD: Focuses on a change in the state of delivery and uses liquidity patterns (SFP, fake breakout) and key candles to confirm trend reversals.
ChoCh: Identifies a change in the market’s character, often signaling rapid shifts in trend direction.
MSS: Focuses on changes in market structure and identifies the breaking of key levels as a signal of trend shifts.
🔵 Settings
🟣 CISD Logical settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
🟣 SFP Logical settings
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.
🟣 CISD Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 SFP Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🔵 Conclusion
CISD is a powerful tool for identifying trend reversals using liquidity patterns and key candle analysis. Traders can use the CISD Level to detect trend changes and find optimal entry and exit points.
This concept is similar to ChoCh and MSS but stands out with its focus on confirming trend changes through liquidity and specific patterns. With the right approach, CISD helps traders capitalize on market movements more effectively.
Sfp
Swing Failure Pattern SFP [TradingFinder] SFP ICT Strategy🔵 Introduction
The Swing Failure Pattern (SFP), also referred to as a "Fake Breakout" or "False Breakout," is a vital concept in technical analysis. This pattern is derived from classic technical analysis, price action strategies, ICT concepts, and Smart Money Concepts.
It’s frequently utilized by traders to identify potential trend reversals in financial markets, especially in volatile markets like cryptocurrencies and forex. SFP helps traders recognize failed attempts to breach key support or resistance levels, providing strategic opportunities for trades.
The Swing Failure Pattern (SFP) is a popular strategy among traders used to identify false breakouts and potential trend reversals in the market. This strategy involves spotting moments where the price attempts to break above or below a previous high or low (breakout) but fails to sustain the move, leading to a sharp reversal.
Traders use this strategy to identify liquidity zones where stop orders (stop hunt) are typically placed and targeted by larger market participants or whales.
When the price penetrates these areas but fails to hold the levels, a liquidity sweep occurs, signaling exhaustion in the trend and a potential reversal. This strategy allows traders to enter the market at the right time and capitalize on opportunities created by false breakouts.
🟣 Types of SFP
When analyzing SFPs, two main variations are essential :
Real SFP : This occurs when the price breaks a critical level but fails to close above it, then quickly reverses. Due to its clarity and strong signal, this SFP type is highly reliable for traders.
Considerable SFP : In this scenario, the price closes slightly above a key level but quickly declines. Although significant, it is not as definitive or trustworthy as a Real SFP.
🟣 Understanding SFP
The Swing Failure Pattern, or False Breakout, is identified when the price momentarily breaks a crucial support or resistance level but cannot maintain the movement, leading to a rapid reversal.
The pattern can be categorized as follows :
Bullish SFP : This type occurs when the price dips below a support level but rebounds above it, signaling that sellers failed to push the price lower, indicating a potential upward trend.
Bearish SFP : This pattern forms when the price surpasses a resistance level but fails to hold, suggesting that buyers couldn’t maintain the higher price, leading to a potential decline.
🔵 How to Use
To effectively identify an SFP or Fake Breakout on a price chart, traders should follow these steps :
Identify Key Levels: Locate significant support or resistance levels on the chart.
Observe the Fake Breakout: The price should break the identified level but fail to close beyond it.
Monitor Price Reversal: After the breakout, the price should quickly reverse direction.
Execute the Trade: Traders typically enter the market after confirming the SFP.
🟣 Examples
Bullish Example : Bitcoin breaks below a $30,000 support level, drops to $29,000, but closes above $30,000 by the end of the day, signaling a Real Bullish SFP.
Bearish Example : Ethereum surpasses a $2,000 resistance level, rises to $2,100, but then falls back below $2,000, forming a Bearish SFP.
🟣 Pros and Cons of SFP
Pros :
Effective in identifying strong reversal points.
Offers a favorable risk-to-reward ratio.
Applicable across different timeframes.
Cons :
Requires experience and deep market understanding.
Risk of encountering false breakouts.
Should be combined with other technical tools for optimal effectiveness.
🔵 Settings
🟣 Logical settings
Swing period : You can set the swing detection period.
SFP Type : Choose between "All", "Real" and "Considerable" modes to identify the swing failure pattern.
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.
🟣 Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 Alert Settings
Alert SFP : Enables alerts for Swing Failure Pattern.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
The Swing Failure Pattern (SFP), or False Breakout, is an essential analytical tool that assists traders in identifying key market reversal points for successful trading.
By understanding the nuances between Real SFP and Considerable SFP, and integrating this pattern with other technical analysis tools, traders can make more informed decisions and better manage their trading risks.
False Breakouts [TradingFinder] Fake Breakouts Failure🔵 Introduction
Technical indicators are essential tools for analysts and traders in financial markets, helping them predict price movements and make better trading decisions. One of the key concepts in technical analysis that should be carefully considered is the "False Breakout."
This phenomenon occurs when a price temporarily breaks through a significant support or resistance level but fails to hold and quickly returns to its previous range. Understanding this concept and applying it in trading can reduce risks and increase profitability.
🟣 What is a False Breakout?
A Fake Breakout, as the name suggests, refers to a breakout that appears to occur but fails to sustain, leading the price to quickly revert back to its previous range. This situation often happens when inexperienced or non-professional traders, under psychological pressure and eager to enter the market quickly, initiate trades.
This creates opportunities for professional traders to take advantage of these short-term fluctuations and execute successful trades.
🟣 The Importance of Recognizing False Breakouts
Recognizing False Breakouts is crucial for any trader aiming for success in financial markets. False Breakouts typically occur when the market approaches a critical support or resistance level.
In these situations, many traders are waiting to see if the price will break through this level. However, when the price quickly returns to its previous range, it indicates weakness in the movement and the inability to sustain the breakout.
🟣 How to identify False Breakouts?
To identify Fake Breakouts, it is important to carefully analyze price charts and look for signs of a quick price reversal after breaking a key level.
Here are some chart patterns that may help you identify a False Breakout :
1. Pin Bar Pattern : The Pin Bar is a candlestick pattern that indicates a price reversal. This pattern usually appears near support and resistance levels, showing that the price attempted to break through a key level but failed and reversed.
2. Fakey Pattern : This pattern, which consists of several candlesticks, indicates a False Breakout and a quick price return to the previous range. It usually appears near key levels and can signal a trend reversal.
3. Using Multiple Timeframes : One way to identify False Breakouts is by using charts of different timeframes. Sometimes, a breakout on a one-hour chart may be a False Breakout on a daily chart. Analyzing charts across multiple timeframes can help you accurately identify this phenomenon.
🔵 How to Use
Once you identify a False Breakout, you can use it as a trading signal. For this, it is best to look for trading opportunities in the opposite direction of the False Breakout. In other words, if a False Breakout occurs at a resistance level, you might consider selling opportunities, and if it happens at a support level, you might look for buying opportunities.
Here are some key points for trading based on False Breakouts :
1. Patience and Discipline : Patience and discipline are crucial when trading with False Breakouts. Wait for the False Breakout to clearly form before entering a trade.
2. Use Stop Loss : Setting an appropriate stop loss is vital when trading based on False Breakouts. Typically, the stop loss can be placed near the level where the False Breakout occurred.
3. Seek Confirmations : Before entering a trade, look for additional confirmations. These can include other analyses or technical indicators that show the price is likely to return to its previous level.
🔵 Settings
🟣 Logical settings
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 Bac k: You can set the number of swings that will go back for checking.
🟣 Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 Alert Settings
Alert False Breakout : Enables alerts for Breakout.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵Conclusion
False Breakouts, as a key concept in technical analysis, are powerful tools for identifying sudden price changes and using them in trading. Understanding this phenomenon and applying it can help traders perform better in financial markets and avoid potential losses.
To benefit from False Breakouts, traders need to carefully analyze charts and use the appropriate analytical tools. By leveraging this strategy, traders can achieve lower-risk and higher-reward trades.
Swing Failure Pattern (SFP) [LuxAlgo]The Swing Failure Pattern indicator highlights Swing Failure Patterns (SFP) on the user chart, a pattern occurring during liquidity generation from significant market participants.
A Confirmation level used to confirm a trend reversal is also included. Users can additionally filter out SFP based on a set Volume % Threshold .
🔶 USAGE
Swing failure patterns occur when candle wicks exceed (above/below) a recent swing level but close back below/above it, and occur from more significant market participants engineering liquidity. This pattern can be indicative of a potential trend reversal.
A label and an accentuated wick line highlight the SFP (both can be disabled).
Using a higher "Swings" period will not return different SFP but will however potentially reduce their detection rate.
🔹 Confirmation Level
The confirmation level is the highest point between the previous swing and SFP for a bullish SFP, and the lowest point for a bearish SFP. This level allows confirming a trend reversal after an SFP once the price breaks it.
A small triangle will be displayed when the price closes beyond the confirmation level.
A more reactive and contrarian approach could use the SFP as an entry point, and the confirmation level for taking (partial) profit, or stop loss. The example below shows a possible scenario:
🔹 Volume % Threshold
During the occurrence of an SFP, the Volume % Threshold option allows comparing the cumulative volume outside the Swing level to the total volume of the candle. The following options are included:
Volume outside swing < Threshold: Volume outside the Swing level needs to be lower than x % of total candle volume. Prevent excessive liquidity generation.
Volume outside swing > Threshold: Volume outside the Swing level needs to be higher than x % of total candle volume. Requires more significant liquidity to be generated.
None: No extra filter is applied
Note that in the above case, the left SFP is no longer highlighted because the volume above the swing level was higher than the 25% threshold of the total volume.
When we change the setting to "Volume outside swing > Threshold", we get the reversed situation.
The "Volume outside Swing level" is obtained using intrabar - Lower TimeFrame (LTF) data.
At the intrabar (LTF) level, there are a maximum of 100K bars available. When using the Volume % Threshold filter, a vertical line will highlight the maximum period during which intrabars are available.
🔶 DETAILS
🔹 LTF Settings
When 'Auto' is enabled (Settings, LTF), the LTF will be the nearest possible x times smaller TF than the current TF. When 'Premium' is disabled, the minimum TF will always be 1 minute to ensure TradingView plans lower than Premium don't get an error.
Examples with current Daily TF (when Premium is enabled):
500 : 3-minute LTF
1500 (default): 1-minute LTF
5000: 30 seconds LTF (1 minute if Premium is disabled)
The concerning LTF can be seen at the right-top (default) corner.
🔶 SETTINGS
Swings: Period used for the swing detection, with higher values returning longer-term Swing Levels.
Bullish SFP: enable/disable bullish Swing Failure Patterns.
Bearish SFP: enable/disable bearish Swing Failure Patterns.
🔹 Volume Validation
Validation:
Volume outside swing < Threshold: The volume outside the swing level needs to be lower than x % of the total volume.
Volume outside swing > Threshold: The volume outside the swing level needs to be higher than x % of the total volume.
None: No extra validation is applied.
Volume % Threshold: % of total volume as threshold.
Auto + multiple: Adjusts the initial set LTF
LTF: LTF setting
Premium: Enable when your TradingView plan is Premium or higher
🔹 Dashboard
Show Dashboard: Display applied Lower Timeframe (LTF)
Location: Location of the dashboard
Size: Size of the dashboard
🔹 Style
Swing Lines
Confirmation Lines
Swing Failure Wick
Swing Failure Label
Lines / Labels: Color for lines and labels
SFP Wicks: Color for SFP wick line
IMGCore - V1.0IMG Core uses five sequential stages to analyse price action and alert users to potential Trade Setups using various Price Action Concepts as detailed below:
1. Identify Higher Timeframe Market Structure and Points of Interest (HTF-POIs)
2. Calculate position size based on your risk appetite, fees and account leverage and customisable maximum trade risk
3. Alert you to risk managed trade setups at enabled HTF-POIs
4. Alert you to trade exits based on your set criteria
5. Provide Additional Alerts such as Higher Timeframe SFPs and Market Structure Breaks that act as potential early warnings that a trade setup may be forming
1. HTF POIs Available with IMG CORE:
a. HTF Market Structure Range Highs and Lows
b. HTF Order Blocks
c. HTF Breakers
d. HTF FVGs
a. Higher Timeframe Market Structure Range High and Low through Multiple Timeframe Analysis:
Market Structure can be defined using several techniques. The IMG indicators employ the Close through High/Low technique, which necessitates a candle to close through a structural level to validate a structural break and designate a new range.
Example: H12 Market Structure visualisation on a H12 Chart with annotations:
By selecting a particular Market Structure timeframe in the settings, the indicator immediately illustrates both current and historical market structures for the chosen timeframe across all subordinate timeframes, subject to the limitations of your Tradingview subscription.
Example: H12 Market Structure visualisation on a H1 Chart with annotations:
b. Higher Timeframe Order Blocks
An Order Block represents the last candle of the opposite direction preceding a Market Structure Break. For instance, a bullish Order Block is identified as the final bearish candle leading to a bullish market structure break, and vice versa for bearish Order Blocks.
Example: H12 OB visualisation on a H12 Chart with annotations:
When activated, the indicator will highlight the Higher Timeframe Order Blocks responsible for a Market Structure Break on all subordinate timeframes relative to the chosen Market Structure Timeframe.
Note: if multiple OBs exist, the indicator will display the OB closest to the new range extreme
Example: H12 OB visualisation on a H1 Chart with annotations:
c. Higher Timeframe Breakers
A Breaker Block is identified as the most recent Order Block that has been breached by price, leading to an opposite Market Structure Break. For example, a bullish Breaker Block is the last bearish Order Block that price has passed through, confirming a bullish structural break, and the inverse is true for bearish Breakers.
Example: H12 Breaker visualisation on a H12 Chart with annotations:
Once enabled, the system will display Higher Timeframe Breaker Blocks after an opposite Market Structure Break is confirmed on all subordinate timeframes.
Example: H12 Breaker visualisation on a H1 Chart with annotations:
d. Higher Timeframe Fair Value Gaps (FVGs)
A Fair Value Gap is a concept used by price action traders to identify market inefficiencies, where buying and selling are not balanced. It appears on a chart as a triple-candle pattern, with a large candle flanked by two others whose highs and lows do not overlap with the large candle, creating a gap. This gap often attracts the price towards it before the market resumes its previous direction.
Example of the indicator displaying a Higher Timeframe’s FVGs on a Lower Timeframe (LTF) chart:
-The upper chart labelled H12/H12 is the indicator displaying H12 Structure and FVGs on a H12 chart.
-The lower chart labelled H12/H1 is the indicator displaying H12 FVGs on a H1 chart
2. Risk Management and Position Sizing:
a. Automated Position Sizing:
The System will automatically calculate position size based on the account size, max leverage and risk appetite (capital risk per trade) details input in settings. Calculated trade details are included in the Tradingview Alerts as well as interactive labels on the charts.
Details include but are not limited to:
Trade Timeframe
Side: Long/Short
Type: Limit/Market
Position Size in $ and Units
Lot sizes if applicable
Trade Risk %
Take Profit Level
Entry Price
Stoploss Price
b. Maximum Trade Risk:
IMG Core has the ability to invalidate potential trade entries if it exceeds your maximum Trade Risk threshold. Trade Risk is the % price difference between entry and stoploss.
When an invalid signal is generated, the signal will not be shaded and the interactive label will display the reason for invalidation
In the example below, Max Trade Risk is set to 2% , but the trade signal had a trade risk of 5.11% , invalidating the signal with a grey triangle
3. Trade Setup Types Available with IMG CORE:
The system will alert you to potential trade setups at these HTF POIs: .
a. Higher Timeframe (HTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at Range Extremes
b. Higher Timeframe (HTF) Swing Failure followed by a Higher Timeframe (HTF) MSB at enabled HTF POIs
c. Lower Timeframe (LTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at enabled HTF POIs
d. Multiple LTF Entry Options once a signal is confirmed
a. HTF Swing Failure followed by a Lower Timeframe (LTF) MSB at Range Extremes
A Swing Failure Pattern (SFP) is a technical analysis concept used in trading to identify potential reversals in price trends. It occurs when the price attempts to surpass a previous high or low but fails to sustain that level, indicating a possible change in market direction. There are multiple methods to define a SFP but this indicator uses the failure to close through a Key Level. When confirmed, HTF SFPs will be displayed on-screen and an alert will fire if enabled.
Example: H12 SFPs at Range Extremes on a H1 Chart:
Alerts to Enter at Lower Timeframe MSBs
When enabled, a potential trade setup label and alert will generate when a HTF SFP is confirmed at a Range Extreme followed by a Chart Timeframe (Lower Timeframe) Market Structure Break (MSB). These signals are agnostic to current Market Structure bias and will generate at both extremes.
b. HTF Swing Failure followed by a Lower Timeframe (LTF) MSB at HTF POIs:
When enabled, a potential trade setup label and alert will generate when a HTF SFP is confirmed at an enabled Higher Timeframe POI (Order Blocks / Breakers / FVGs) followed by a Chart Timeframe (Lower Timeframe) Market Structure Break (MSB). These signals are always in line current Market Structure bias.
Example: H12 SFPs and Trade Setups at HTF POIs with Fluid Exits on a H1 Chart:
c. LTF Swing Failure followed by a LTF MSB at Range Extremes at enabled HTF POIs
The system will alert you to a lower timeframe setup if these conditions are met inside enabled HTF POIs (OBs / Breakers / FVGs):
- LTF SFP
- LTF MSB
Signals will alert you to enter a Limit Entry at the LTF MSB Level OR LTF Breaker
Example:
d. LTF Entry Options:
IMG CORE provides the following options for LTF Entries:
i. Limit Entry at Lower Timeframe MSB Levels
ii. Limit Entry at Lower Timeframe Breakers
Based on this selection, the trade setup alert will provide entry price details to set limit orders at the MSB level or LTF Breaker High.
4. Trade Exit Types Available with IMG CORE:
The system provides the following options for trade exit alerts:
i. User defined Risk to Reward (R:R)
ii. On a confirmed Opposite Signal (Fluid Exits)
Example: H12 Long Entry and Exit Signal using Fluid Exits H1 Chart:
5. IMG CORE Alerts Overview
The system provides notifications of:
1. Confirmed HTF Market Structure Breaks
2. Confirmed HTF SFPs at Range Extremes
3. Confirmed HTF SFPs at HTF POIs
4. Potential Trade Setups at Range Extremes
5. Potential Trade Setups at HTF Points of Interest (HTF-LTF and LTF-LTF)
6. Fixed R Trade Exits
7. Exit on Opposing Signals (Fluid Exits)
To enable alerts, right-click on the indicator and select “Add Alert on IMG ...”. You may customise the alert name as desired and then click 'Create' to finalise the alert setup.
General Note:
There is no system, indicator, algorithm, or strategy that can provide absolute certainty in predicting market movements. Use trading indicators as a tool to assist with trading decisions; manage your risk wisely.
Stay safe and Happy Trading!
Swing Failure PatternThis script will remind you of a potential swing failure pattern (which is a grab for liquidity to go the other direction). You can't use this script on its own, hence the eyes to look for confluences ;-)
Eyes will appear when the current high/low takes out the high/low of the last (by default) 100 highs/lows and will close below/above that last high/low.
Extra settings:
- ignore the last x amount of bars
- choose a character instead of the eyes
- choose a color for the character
Happy trading! ;-)
Swing Failure Reversal StrategyThis strategy is using Swing Failure Patterns as a reversion indicator.
The strategy automatically adapts itself to the timeframe of the current chart.
Swing Failure Pattern occurs when the price trend fails to set new highs in uptrend or meet new lows in a downtrend. This pattern helps traders decide when to enter and exit the market. Usually, traders enter in the downtrend i.e. lower price highs and lower price lows, and exit in the uptrend situation i.e. higher price highs and higher price lows. Thus, traders go against the current trend. This helps the traders take advantage of early trend reversal indicators.
Types of Failure Swing :
Failure Swing Top: This occurs when the stock price goes higher whereas the RSI fails to make a higher high and falls below the recent fail point. The Fail Point is where the RSI line is below the recent swing low. This Failure Swing indicates a short position.
Failure Swing Bottom: This occurs when the stock price gets lower whereas RSI fails to make a lower low and rises over the recent fail point. Fail point is the point where the RSI line is above the recent swing high. This Failure Swing indicates a long position.
Swing Failure Pattern by EmreKbThe indicator detect to swing failure pattern and shows it.
Swing Failure Pattern (or SFP) is a type of reversal pattern in which (swing) traders target stop-losses above a key swing low or below a key swing high to push the price in the other direction by generating enough liquidity.
[Hennessy]_SFPENG)
What is a SFP?
A Swing Failure Pattern (SFP) is a trade setup in which big traders hunt stop-losses above a key swing high or below a key swing low for the purpose of generating the liquidity needed to push price in the opposite direction.
How do you determine swing pattern failure?
The failure swing pattern is a type of reversal pattern that can be used as buy or sell signals. In an uptrend, we see a series of successive higher highs and higher lows but there comes a point when the price fails to make a new high.
In a downtrend, prices fail to make a new low. This will make us aware that there could be a change in pattern.
🔨 = Failure Swing Top
🚀 = Failure Swing Bottom
Ex)
The signal is more reliable when SPF 🚀/🔥 and "Weather indicator" 🌈/⚡ show up together and indicates the same direction than a single signal appears.
KOR)
SFP는 반전신호로 인식할 수 있으며, 고점에서는 고점갱신의 실패. 저점에서는 저점갱신의 실패일때 나타나는 패턴입니다.
🔨 = Failure Swing Top(고점 갱신실패 시그널)
🚀 = Failure Swing Bottom(저점 갱신실패 시그널)
신뢰도는 당연하게도 높은 시간프레임에서의 SFP가 가격반전을 더 크게 불러오며, Hennessy_Wether지표나 다른 보조지표와 함께 사용하면
더욱 더 Entry/Exit에 있어서 신뢰도를 상향 시켜줍니다.
예시)
Hennessy_weather 지표에서 나타내주는 무지개나 SFP 로켓 시그널이 따로 발생했을 때 보다 가까운 시간대에 발생했을 때 더 많은 상승을 불러옴을 알 수 있습니다.
Swing Failure Pattern Inquisitor SFP Inquisitor
v0.2a
coded by Bogdan Vaida
Code for Swing High, Swing Low and Swing Failure Pattern.
Note that we're still in the alpha version, bugs may appear.
Note that the number you set in your Swing History variable
will also be the minimum delay you see until the apples appear.
This is because we're checking the forward "history" too.
The SFP will only check for these conditions:
- high above Swing History high and close below it
- low below Swing History high and close above it
In some cases you may see an apple before the SFP that "doesn't fit"
with the SFP conditions. That's because that apple was drawn later and
the SFP actually appeared because of the previous apple .
20 candles later.
Legend:
🍏 - swing high
🍎 - swing low
🧺 - candle where the last swing was driven from
🍌 - swing failure pattern
🍎🍌 - hungry scenario: swing low but also a SFP compared to the last swing
BenTrading - Upsweep+CMThis indicator can gives an alert when a candle purges a 3- or 4-candle swing high but closes below it (1). It can also give an alert when a candle closes below the last 3- or 4-candle swing low prior to the sweep (2).
How to:
1. Add indicator to chart chart of your desired timeframe
2. Right click indicator and "add alert
3. Decide the conditions for when you to be alerted (sweep or sweep+CM) and specify to be alerted on "candle close only"
4. Double click the chart and the indicator-window will be closed. (The indicator window has no value and should not be visible/taking up chart space)
BenTrading - Downsweep+CMThis indicator can gives an alert when a candle purges a 3- or 4-candle swing low but closes above it (1). It can also give an alert when a candle closes above the last 3- or 4-candle swing high prior to the sweep (2).
How to:
1. Add indicator to chart chart of your desired timeframe
2. Right click indicator and "add alert
3. Decide the conditions for when you to be alerted (sweep or sweep+CM) and specify to be alerted on "candle close only"
4. Double click the chart and the indicator-window will be closed. (The indicator window has no value and should not be visible/taking up chart space)
Anchored VWAP and Swing Failure PatternIndicator that allows to visualize swing failure patterns on every timeframe. The lines are anchored VWAPS that snipe support/resistance.
Feel free to ask question
Significant PP - Swing Failure / Stop Run Alerts [QN]Tried to create a script for Swing Failure / Stop Run patterns. It is based on my QuantNomad - "Significant Pivot Reversal" Indicator.
It's quite tricky to code these kinds of patterns, so it's really not ideal. I alert when a candle cross pivot level but close below (above for bottom) it and previous close was below (above) it as well.
You can setup params for pivot points and also by how much it should cross pivot level with "SF ATR Mult".
I have in mind a few other things I'd like to test:
* Different types of pivot points
* Few recent pivot levels at once
* Pivots from higher timeframe
* Different types of "touching" levels
* etc.
Ideally, I want to create a strategy from it, but I'm far from it for now.
Do you have any ideas on how to make it better?
Original Significant Pivot Reversal Indicator:
Crayons GrayonsUpdate for
Crayons 0.2
Crayons is early onset hyper customizable trend reversal trading suite
There is some big changes for Signal and Pivot generation and its set as Default mode so in case of nostalgia for white noise there is an option to "rollback" placed at the top of input menu
As always- hyper customizable
Every singal core crayon signal group will be turned on by default so open input menu for personalizing signals to charts and personal character
Crayons 0.2-
Greatly improved Signal quality
Improved Pivot detection logic
Two Set's of Pivots "Cleaned" and "Vanilla"
Optional Polichrome candle painter mode to provide additional information on demand
Optional Labels for signals and pivots
Secondary risk filter filtering "riskier" signal sequences (Experimental)
Second MA is changed by ATR modified to work as trailing S/R (Source is ohlc4 for whip protection model is experimental ,filters used is not suitable for micro tf so atr calls for higher periods, its experimental and will be fixed or removed with later updates, added for testing purposes)
erasei's Swing Points with ATRA simple indicator to overlay high and low swing points with the ATR at each point to quickly see an ATR-based stop.
CrayonsCrayons Grayons
Derived from -
Its messy and experimental until stable version is released , now for testing purposes only
Kawabunga Swing Failure Points Candles (SFP) by RRBKawabunga Swing Failure Points Candles (SFP) by RagingRocketBull 2019
Version 1.0
This indicator shows Swing Failure Points (SFP) and Swing Confirmation Points (SCP) as candles on a chart.
SFP/SCP candles are used by traders as signals for trend confirmation/possible reversal.
The signal is stronger on a higher volume/larger candle size.
A Swing Failure Point (SFP) candle is used to spot a reversal:
- up trend SFP is a failure to close above prev high after making a new higher high => implies reversal down
- down trend SFP is a failure to close below prev low after making a new lower low => implies reversal up
A Swing Confirmation Point (SCP) candle is just the opposite and is used to confirm the current trend:
- up trend SCP is a successful close above prev high after making a new higher high => confirms the trend and implies continuation up
- down trend SCP is a successful close below prev low after making a new lower low => confirms the trend and implies continuation down
Features:
- uses fractal pivots with optional filter
- show/hide SFP/SCP candles, pivots, zigzag, last min/max pivot bands
- dim lag zones/hide false signals introduced by lagging fractals or
- use unconfirmed pivots to eliminate fractal lag/false signals. 2 modes: fractals 1,1 and highest/lowest
- filter only SFP/SCP candles confirmed with volume/candle size
- SFP/SCP candles color highlighting, dim non-important bars
Usage:
- adjust fractal settings to get pivots that best match your data (lower values => more frequent pivots. 0,0 - each candle is a pivot)
- use one of the unconfirmed pivot modes to eliminate false signals or just ignore all signals in the gray lag zones
- optionally filter only SFP/SCP candles with large volume/candle size (volume % change relative to prev bar, abs candle body size value)
- up/down trend SCP (lime/fuchsia) => continuation up/down; up/down trend SFP (orange/aqua) => possible reversal down/up. lime/aqua => up; fuchsia/orange => down.
- when in doubt use show/hide pivots/unconfirmed pivots, min/max pivot bands to see which prev pivot and min/max value were used in comparisons to generate a signal on the following candle.
- disable offset to check on which bar the signal was generated
Notes:
Fractal Pivots:
- SFP/SCP candles depend on fractal pivots, you will get different signals with different pivot settings. Usually 4,4 or 2,2 settings are used to produce fractal pivots, but you can try custom values that fit your data best.
- fractal pivots are a mixed series of highs and lows in no particular order. Pivots must be filtered to produce a proper zigzag where ideally a high is followed by a low and another high in orderly fashion.
Fractal Lag/False Signals:
- only past fractal pivots can be processed on the current bar introducing a lag, therefore, pivots and min/max pivot bands are shown with offset=-rightBars to match their target bars. For unconfirmed pivots an offset=-1 is used with a lag of just 1 bar.
- new pivot is not a confirmed fractal and "does not exist yet" while the distance between it and the current bar is < rightBars => prev old fractal pivot in the same dir is used for comparisons => gives a false signal for that dir
- to show false signals enable lag zones. SFP/SCP candles in lag zones are false. New pivots will be eventually confirmed, but meanwhile you get a false signal because prev pivot in the same dir was used instead.
- to solve this problem you can either temporary hide false signals or completely eliminate them by using unconfirmed pivots of a smaller degree/lag.
- hiding false signals only works for history and should be used only temporary (left disabled). In realtime/replay mode it disables all signals altogether due to TradingView's bug (barcolor doesn't support negative offsets)
Unconfirmed Pivots:
- you have 2 methods to check for unconfirmed pivots: highest/lowest(rightBars) or fractals(1,1) with a min possible step. The first is essentially fractals(0,0) where each candle is a pivot. Both produce more frequent pivots (weaker signals).
- an unconfirmed pivot is used in comparisons to generate a valid signal only when it is a higher high (> max high) or a lower low (< min low) in the dir of a trend. Confirmed pivots of a higher degree are not affected. Zigzag is not affected.
- you can also manually disable the offset to check on which bar the pivot was confirmed. If the pivot just before an SCP/SFP suddenly jumps ahead of it - prev pivot was used, generating a false signal.
- last max high/min low bands can be used to check which value was used in candle comparison to generate a signal: min(pivot min_low, upivot min_low) and max(pivot max_high, upivot max_high) are used
- in the unconfirmed pivots mode the max high/min low pivot bands partially break because you can't have a variable offset to match the random pos of an unconfirmed pivot (anywhere in 0..rightBars from the current bar) to its target bar.
- in the unconfirmed pivots mode h (green) and l (red) pivots become H and L, and h (lime) and l (fuchsia) are used to show unconfirmed pivots of a smaller degree. Some of them will be confirmed later as H and L pivots of a higher degree.
Pivot Filter:
- pivot filter is used to produce a better looking zigzag. Essentially it keeps only higher highs/lower lows in the trend direction until it changes, skipping:
- after a new high: all subsequent lower highs until a new low
- after a new low: all subsequent higher lows until a new high
- you can't filter out all prev highs/lows to keep just the last min/max pivots of the current swing because they were already confirmed as pivots and you can't delete/change history
- alternatively you could just pick the first high following a low and the first low following a high in a sequence and ignore the rest of the pivots in the same dir, producing a crude looking zigzag where obvious max high/min lows are ignored.
- pivot filter affects SCP/SFP signals because it skips some pivots
- pivot filter is not applied to/not affected by the unconfirmed pivots
- zigzag is affected by pivot filter, but not by the unconfirmed pivots. You can't have both high/low on the same bar in a zigzag. High has priority over Low.
- keep same bar pivots option lets you choose which pivots to keep when there are both high/low pivots on the same bar (both kept by default)
SCP/SFP Filters:
- you can confirm/filter only SCP/SFP signals with volume % change/candle size larger than delta. Higher volume/larger candle means stronger signal.
- technically SCP/SFP is always the first matching candle, but it can be invalidated by the following signal in the opposite dir which in turn can be negated by the next signal.
- show first matching SCP/SFP = true - shows only the first signal candle (and any invalidations that follow) and hides further duplicate signals in the same dir, does not highlight the trend.
- show first matching SCP/SFP = false - produces a sequence of candles with duplicate signals, highlights the whole trend until its dir changes (new pivot).
Good Luck! Feel free to learn from/reuse the code to build your own indicators!
