Simple ICT Order Blocks and Fair Value Gaps by Gowtham KannakajeThis scripts identifies ICT Order Block and ICT Fair Value Gaps
Fair Value Gap:
- Fair Value Gap toggle is off by default
- Users can choose to color the bars having Fair Value Gaps or can select to define the Fair Value Gap using boxes.
- Bar color and box colors can be customized
Order Blocks:
- Order Block box and candle color toggle is on by default
- Users can choose to color the Order Block candles or can select to define the Order Blocks using boxes.
- Bar color and box colors can be customized for bullish and bearish Order Block separately
Note:
- Order Blocks are considered valid only if the candle forming the Fair Value Gap closes away from the Order Block.
- Since Trading View limits the number of boxes to 500, it is advised to use the Color Candle option to identify the Order Blocks or Fair Value Gaps which are very old.
New concept Definitions:
Naked OB : An order block whose immediate next candle forms a Fair Value Gap. Here, the Order Block high or low contributes to the formation of Fair Value Gap.
Covered OB : An order block whose immediate next candle doesn't form a Fair Value Gap. Here, the Order Block high or low doesn't contribute to the formation of Fair Value Gap. Instead it will have other candles in between the Order Block and Fair Value Gap.
Disclaimer: The usage of this indicator might or might not contribute to your profits and losses and the author is not responsible for the same.
Happy Trading.
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Sessions & ICT Killzones (0xCryptoVince)Sessions and ICT Killzones
All in one session and killzone script for FX or Crypto markets. It includes London, New York and Asia Sessions and Killzones.
Features
Uses UTC timezone so no timezone correction needed
Includes London, New York and Asia sessions
Includes ICT killzones
Optionally include weekends for session or killzone separately
Customize line style, width and color
Customize colors for sessions and killzones
Session highs/lows displayed on chart as a line or a box
Killzones displayed on top or bottom
NX - ICT PD ArraysThis Pine Script indicator identifies and visualizes Fair Value Gaps (FVGs) and Order Blocks (OBs) based on refined price action logic.
FVGs are highlighted when price leaves an imbalance between candles, while Order Blocks are detected using ICT methodologyโmarking the last opposing candle before a displacement move.
The script dynamically tracks and updates these zones, halting box extension once price interacts with them. Customizable colors and lookback settings allow traders to tailor the display to their strategy.
NX - ICT LiquidityThis indicator identifies liquidity zones based on ICT concepts, highlighting swing highs (BSL) and swing lows (SSL) with dynamic detection and mitigation logic. It also plots key institutional levels from the previous day, week, and monthโincluding High, Low, Open, and Closeโcustomizable by timeframe.
Designed for precision and clarity, it helps traders visualize potential sweep setups and reaction points with minimal chart clutter.
NX - ICT Kill ZonesThis indicator highlights the three main ICT Kill Zones โ Asian, London, and New York โ directly on your chart using New York time (UTCโ4 with automatic DST adjustment).
Each zone is colorโcoded for quick visual reference and only appears on intraday timeframes of 1 hour or less. The tool helps traders quickly identify highโprobability trading windows aligned with institutional market activity.
ICT OTE Market MakerICT OTE Market Maker
Implementing ICT and automatically identifies OTE zones to minimize drawdowns.
ICT Time CaptureICT 8am High/Low + 9am Capture (NY Time) โ Fixed 1H
This indicator marks the High and Low of the 8am candle on the 1-hour timeframe fixed to New York time (America/New_York timezone). It also draws a line for the 9am candle open and indicates if the 9am candle โcapturedโ (broke above or below) the 8am High or Low.
Key Features:
Always uses 1-hour data fixed on New York timezone, regardless of the chartโs current timeframe.
Draws horizontal lines for the 8am High and Low, with configurable colors, styles (solid/dashed), thickness, and extension length.
Draws a horizontal line for the 9am open price with customizable style.
Shows labels with price values explaining the lines.
Shows a capture label when the 9am candle breaks above the 8am high or below the 8am low.
Allows full customization of label text colors, line colors, line styles, thickness, and label distances from line start.
How to use:
Use this indicator to monitor key ICT timeframes (8am and 9am NY time) for intraday price action clues.
The capture labels help identify when price breaks key levels from the 8am candle during the 9am candle.
The configurable style options let you customize the indicator to your chart style.
ICT IRL & ERL ZonesICT IRL & ERL Zones
This indicator visualizes Internal Range Liquidity (IRL) and External Range Liquidity (ERL) levels, based on ICT (Inner Circle Trader) concepts. It's designed to help traders identify key liquidity zones that often act as magnet levels or reversal points in price action.
๐ How It Works
Lookback Range: The script analyzes the highest high and lowest low over a user-defined number of candles (default: 50).
IRL (Internal Range Liquidity):
Plots the highest high and lowest low within the lookback period.
Represented as orange lines and a shaded zone.
ERL (External Range Liquidity):
Extends the IRL boundaries by a small buffer (50 ticks above/below).
Visualizes zones where price may reach for liquidity beyond the current range.
Plotted as a green (high) and red (low) line.
โ๏ธ Inputs
Lookback Range: Number of candles to calculate the range (min 5).
Show IRL: Toggle visibility for Internal Range Liquidity zone.
Show ERL: Toggle visibility for External Range Liquidity buffer zone.
๐ Visual Elements
IRL High/Low: Orange lines with fill to mark the main liquidity range.
ERL High/Low: Green and red lines indicating potential liquidity sweep zones.
Zone Fill: Light orange shading to visually emphasize the IRL area.
๐ Use Case
Use this tool to:
Identify areas where price might consolidate or reverse.
Highlight likely zones of liquidity grabs before trend continuations or shifts.
Enhance entry/exit decisions based on smart money concepts.
ict cbdr# ICT CBDR - Central Bank Dealers Range
This indicator identifies and displays the Central Bank Dealers Range (CBDR), a concept from Inner Circle Trader (ICT) methodology. The CBDR represents the consolidation period between 2:00 PM and 8:00 PM New York time, during which major financial institutions establish their positions.
## Features
- **Customizable Time Range:** Default setting is the standard 2:00 PM - 8:00 PM NY time, but can be adjusted to any session
- **Timezone Selection:** Choose your preferred timezone while maintaining accurate CBDR tracking
- **Visual Range Box:** Clearly displays the high and low range established during the selected session
- **Equator (EQ) Line:** Shows the 50% mid-point of the range for potential support/resistance
- **Projection Lines:** Automatically projects extensions of the range for potential targets
- **Adjustable Multiplier:** Option for 0.5ร or 1ร range projections
- **Range Type Selection:** Use price wicks or bodies to establish the range
## How to Use This Indicator
The CBDR forms a consolidation zone that often precedes significant price movements. After this range is established, markets tend to move away from this area with directional bias. Trading strategies commonly involve:
1. **Breakout Trading:** Enter when price breaks above/below the CBDR
2. **Range Trading:** Fade moves from the edges of the range back to the EQ line
3. **EQ Line Support/Resistance:** Use the mid-range as a pivot point
4. **Extension Targets:** Utilize the projection lines as potential take-profit levels
## Settings
- **Show CBDR:** Toggle the visibility of the range box
- **Range Type:** Select whether to use candle wicks or bodies for range calculation
- **Timezone:** Choose your preferred timezone (default is America/New York)
- **Session Time:** Adjust the session time in 24-hour format (default is 1400-2000)
- **EQ Line:** Toggle and customize the equator line
- **Projections:** Toggle and adjust the number and appearance of projection lines
- **Use 0.5 Deviation:** When enabled, uses half-sized projections
- **Hide Above __ Minutes:** Controls on which timeframes the indicator is displayed
## Notes
- The traditional CBDR is specifically the 2:00 PM - 8:00 PM NY time range
- This indicator is most effective on lower timeframes (1-15 minute charts)
- Remember to combine this tool with proper risk management and additional confirmation
- Works best on forex and highly liquid markets
## Disclaimer
This indicator is for informational and educational purposes only. Past performance is not indicative of future results. Always conduct your own analysis and use proper risk management.
Quarterly Theory ICT 05 [TradingFinder] Doubling Theory Signals๐ต Introduction
Doubling Theory is an advanced approach to price action and market structure analysis that uniquely combines time-based analysis with key Smart Money concepts such as SMT (Smart Money Technique), SSMT (Sequential SMT), Liquidity Sweep, and the Quarterly Theory ICT.
By leveraging fractal time structures and precisely identifying liquidity zones, this method aims to reveal institutional activity specifically smart money entry and exit points hidden within price movements.
At its core, the market is divided into two structural phases: Doubling 1 and Doubling 2. Each phase contains four quarters (Q1 through Q4), which follow the logic of the Quarterly Theory: Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal.
These segments are anchored by the True Open, allowing for precise alignment with cyclical market behavior and providing a deeper structural interpretation of price action.
During Doubling 1, a Sequential SMT (SSMT) Divergence typically forms between two correlated assets. This time-structured divergence occurs between two swing points positioned in separate quarters (e.g., Q1 and Q2), where one asset breaks a significant low or high, while the second asset fails to confirm it. This lack of confirmationโespecially when aligned with the Manipulation and Accumulation phasesโoften signals early smart money involvement.
Following this, the highest and lowest price points from Doubling 1 are designated as liquidity zones. As the market transitions into Doubling 2, it commonly returns to these zones in a calculated move known as a Liquidity Sweepโa sharp, engineered spike intended to trigger stop orders and pending positions. This sweep, often orchestrated by institutional players, facilitates entry into large positions with minimal slippage.
Bullish :
Bearish :
๐ต How to Use
Applying Doubling Theory requires a simultaneous understanding of temporal structure and inter-asset behavioral divergence. The method unfolds over two main phasesโDoubling 1 and Doubling 2โeach divided into four quarters (Q1 to Q4).
The first phase focuses on identifying a Sequential SMT (SSMT) divergence, which forms when two correlated assets (e.g., EURUSD and GBPUSD, or NQ and ES) react differently to key price levels across distinct quarters. For example, one asset may break a previous low while the other maintains structure. This misalignmentโespecially in Q2, the Manipulation phaseโoften indicates early smart money accumulation or distribution.
Once this divergence is observed, the extreme highs and lows of Doubling 1 are marked as liquidity zones. In Doubling 2, the market gravitates back toward these zones, executing a Liquidity Sweep.
This move is deliberateโdesigned to activate clustered stop-loss and pending orders and to exploit pockets of resting liquidity. These sweeps are typically driven by institutional forces looking to absorb liquidity and position themselves ahead of the next major price move.
The key to execution lies in the fact that, during the sweep in Doubling 2, a classic SMT divergence should also appear between the two assets. This indicates a weakening of the previous trend and adds an extra layer of confirmation.
๐ฃ Bullish Doubling Theory
In the bullish scenario, Doubling 1 begins with a bullish SSMT divergence, where one asset forms a lower low while the other maintains its structure. This divergence signals weakening bearish momentum and possible smart money accumulation. In Doubling 2, the market returns to the previous low and sweeps the liquidity zoneโbreaking below it on one asset, while the second fails to confirm, forming a bullish SMT divergence.
f this move is followed by a bullish PSP and a clear market structure break (MSB), a long entry is triggered. The stop-loss is placed just below the swept liquidity zone, while the target is set in the premium zone, anticipating a move driven by institutional buyers.
๐ฃ Bearish Doubling Theory
The bearish scenario follows the same structure in reverse. In Doubling 1, a bearish SSMT divergence occurs when one asset prints a higher high while the other fails to do so. This suggests distribution and weakening buying pressure. Then, in Doubling 2, the market returns to the previous high and executes a liquidity sweep, targeting trapped buyers.
A bearish SMT divergence appears, confirming the move, followed by a bearish PSP on the lower timeframe. A short position is initiated after a confirmed MSB, with the stop-loss placed
๐ต Settings
โ๏ธ Logical Settings
Quarterly Cycles Type : Select the time segmentation method for SMT analysis.
Available modes include : Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro.
These define how the indicator divides market time into Q1โQ4 cycles.
Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD).
Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings.
Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared.
Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated.
๐จ Display Settings
Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation
Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart.
Show Labels : Displays dynamic labels (e.g., โQ2โ, โBullish SMTโ, โSweepโ) at relevant points.
Show Lines : Draws connection lines between key pivot or divergence points.
Color Settings : Allows customization of colors for bullish and bearish elements (lines, labels, and shapes)
๐ Alert Settings
Alert Name : Custom name for the alert messages (used in TradingViewโs alert system).
Message Frequenc y:
All : Every signal triggers an alert.
Once Per Bar : Alerts once per bar regardless of how many signals occur.
Per Bar Close : Only triggers when the bar closes and the signal still exists.
Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC).
Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals.
Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals
๐ต Conclusion
Doubling Theory is a powerful and structured framework within the realm of Smart Money Concepts and ICT methodology, enabling traders to detect high-probability reversal points with precision. By integrating SSMT, SMT, Liquidity Sweeps, and the Quarterly Theory into a unified system, this approach shifts the focus from reactive trading to anticipatory analysisโanchored in time, structure, and liquidity.
What makes Doubling Theory stand out is its logical synergy of time cycles, behavioral divergence, liquidity targeting, and institutional confirmation. In both bullish and bearish scenarios, it provides clearly defined entry and exit strategies, allowing traders to engage the market with confidence, controlled risk, and deeper insight into the mechanics of price manipulation and smart money footprints.
Quarterly Theory ICT 04 [TradingFinder] SSMT 4Quarter Divergence๐ต Introduction
Sequential SMT Divergence is an advanced price-action-based analytical technique rooted in the ICT (Inner Circle Trader) methodology. Its primary objective is to identify early-stage divergences between correlated assets within precise time structures. This tool not only breaks down market structure but also enables traders to detect engineered liquidity traps before the market reacts.
In simple terms, SMT (Smart Money Technique) occurs when two correlated assetsโsuch as indices (ES and NQ), currency pairs (EURUSD and GBPUSD), or commodities (Gold and Silver)โexhibit different reactions at key price levels (swing highs or lows). This lack of alignment is often a sign of smart money manipulation and signals a lack of confirmation in the ongoing trendโhinting at an imminent reversal or at least a pause in momentum.
In its Sequential form, SMT divergences are examined through a more granular temporal lensโbetween intraday quarters (Q1 through Q4). When SMT appears at the transition from one quarter to another (e.g., Q1 to Q2 or Q3 to Q4), the signal becomes significantly more powerful, often aligning with a critical phase in the Quarterly Theoryโa framework that segments market behavior into four distinct phases: Accumulation, Manipulation, Distribution, and Reversal/Continuation.
For instance, a Bullish SMT forms when one asset prints a new low while its correlated counterpart fails to break the corresponding low from the previous quarter. This usually indicates absorption of selling pressure and the beginning of accumulation by smart money. Conversely, a Bearish SMT arises when one asset makes a higher high, but the second asset fails to confirm, signaling distribution or a fake-out before a decline.
However, SMT alone is not enough. To confirm a true Market Structure Break (MSB), the appearance of a Precision Swing Point (PSP) is essentialโa specific candlestick formation on a lower timeframe (typically 5 to 15 minutes) that reveals the entry of institutional participants. The combination of SMT and PSP provides a more accurate entry point and better understanding of premium and discount zones.
The Sequential SMT Indicator, introduced in this article, dynamically scans charts for such divergence patterns across multiple sessions. It is applicable to various markets including Forex, crypto, commodities, and indices, and shows particularly strong performance during mid-week sessions (Wednesdays and Thursdays)โwhen most weekly highs and lows tend to form.
Bullish Sequential SMT :
Bearish Sequential SMT :
๐ต How to Use
The Sequential SMT (SSMT) indicator is designed to detect time and structure-based divergences between two correlated assets. This divergence occurs when both assets print a similar swing (high or low) in the previous quarter (e.g., Q3), but in the current quarter (e.g., Q4), only one asset manages to break that swing levelโwhile the other fails to reach it.
This temporal mismatch is precisely identified by the SSMT indicator and often signals smart money activity, a market phase transition, or even the presence of an engineered liquidity trap. The signal becomes especially powerful when paired with a Precision Swing Point (PSP)โa confirming candle on lower timeframes (5mโ15m) that typically indicates a market structure break (MSB) and the entry of smart liquidity.
๐ฃ Bullish Sequential SMT
In the previous quarter, both assets form a similar swing low.
In the current quarter, one asset (e.g., EURUSD) breaks that low and trades below it.
The other asset (e.g., GBPUSD) fails to reach the same low, preserving the structure.
This time-based divergence reflects declining selling pressure, potential absorption, and often marks the end of a manipulation phase and the start of accumulation. If confirmed by a bullish PSP candle, it offers a strong long opportunity, with stop-losses defined just below the swing low.
๐ฃ Bearish Sequential SMT
In the previous quarter, both assets form a similar swing high.
In the current quarter, one asset (e.g., NQ) breaks above that high.
The other asset (e.g., ES) fails to reach that high, remaining below it.
This type of divergence signals weakening bullish momentum and the likelihood of distribution or a fake-out before a price drop. When followed by a bearish PSP candle, it sets up a strong shorting opportunity with targets in the discount zone and protective stops placed above the swing high.
๐ต Settings
โ๏ธ Logical Settings
Quarterly Cycles Type : Select the time segmentation method for SMT analysis.
Available modes include: Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro.
These define how the indicator divides market time into Q1โQ4 cycles.
Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD).
Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings.
Activate Max Pivot Back : When enabled, limits the maximum number of past pivots to be considered for divergence detection.
Max Pivot Back Length : Defines how many past pivots can be used (if the above toggle is active).
Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared.
Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated.
๐จ Display Settings
Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation
Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart.
Show Bullish SMT Line : Draws a line connecting the bullish divergence points.
Show Bullish SMT Label : Displays a label on the chart when a bullish divergence is detected.
Bullish Color : Sets the color for bullish SMT markers (label, shape, and line).
Show Bearish SMT Line : Draws a line for bearish divergence.
Show Bearish SMT Label : Displays a label when a bearish SMT divergence is found.
Bearish Color : Sets the color for bearish SMT visual elements.
๐ Alert Settings
Alert Name : Custom name for the alert messages (used in TradingViewโs alert system).
Message Frequency :
All: Every signal triggers an alert.
Once Per Bar: Alerts once per bar regardless of how many signals occur.
Per Bar Close: Only triggers when the bar closes and the signal still exists.
Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC).
Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals.
Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals
๐ต Conclusion
The Sequential SMT (SSMT) indicator is a powerful and precise tool for identifying structural divergences between correlated assets within a time-based framework. Unlike traditional divergence models that rely solely on sequential pivot comparisons, SSMT leverages Quarterly Theory, in combination with concepts like liquidity sweeps, market structure breaks (MSB) and precision swing points (PSP), to provide a deeper and more actionable view of market dynamics.
By using SSMT, traders gain not only the ability to identify where divergence occurs, but also when it matters most within the market cycle. This empowers them to anticipate major moves or traps before they fully materialize, and position themselves accordingly in high-probability trade zones.
Whether you're trading Forex, crypto, indices, or commodities, the true strength of this indicator is revealed when used in sync with the Accumulation, Manipulation, Distribution, and Reversal phases of the market. Integrated with other confluence tools and market models, SSMT can serve as a core component in a professional, rule-based, and highly personalized trading strategy.
[itradesize] ICT Opening range
This indicator automatically annotates the opening ranges of the AM and PM sessions. It should be used on the 1-minute timeframe , although you can check and build a further models when using a 2-3-4 or even 5-minute timeframe. You can customize this under the settings tab.
Additionally, it includes features such as standard deviations and the initial fair value gap presented. Everything is based on what ICT said in his algorithmic timing video.
The algorithm will continue to adjust prices higher or lower until it reaches a predetermined target price. This process will occur within specific time frames: the last 10 minutes before the hour and the first 10 minutes after a new hour begins.
For theย AM session opening range, this is from 9:30 to 10:00 , and for theย PM session, it's from 13:30 to 14:00 . Defining these ranges allows us to identify the first presented fair value gaps there, as the algorithm is designed to leave these signatures for smart money. This process of time-based delivery precision repeats every day. You can build a whole New York model on this.
It's important to journal and backtest your results results. If the market breaks the opening range on either side and there is evident liquidity, it is highly likely that it will pursue that liquidity.
However, before doing so, the market should retrace back to the first fair value gap if it hasnโt already occurred or back to the 0.75 or 0.5 level of the range at maximum.
When does this happen? Typically, when a macro event occursโ for example, during the lunch macro from 11:30 to 12:00 . In most cases, you can expect a retracement during lunch macro. If the market retraces beyond these levels, there is a higher probability that the expected scenario will not play out.
The algorithm primarily refers to the 30-minute opening range each time. The standard deviation levels can be used to establish algorithmic delivery targets and anticipate another run after the PM session opening range has occurred. The AM session often helps determine the likely direction of movement after the PM session range concludes.
The PM macro runs from 15:15 to 15:45 . At this time, the market will typically operate within the narrative that is currently underway.
SMT Divergence ICT 01 [TradingFinder] Smart Money Technique๐ต Introduction
SMT Divergence (short for Smart Money Technique Divergence) is a trading technique in the ICT Concepts methodology that focuses on identifying divergences between two positively correlated assets in financial markets.
These divergences occur when two assets that should move in the same direction move in opposite directions. Identifying these divergences can help traders spot potential reversal points and trend changes.
Bullish and Bearish divergences are clearly visible when an asset forms a new high or low, and the correlated asset fails to do so. This technique is applicable in markets like Forex, stocks, and cryptocurrencies, and can be used as a valid signal for deciding when to enter or exit trades.
Bullish SMT Divergence : This type of divergence occurs when one asset forms a higher low while the correlated asset forms a lower low. This divergence is typically a sign of weakness in the downtrend and can act as a signal for a trend reversal to the upside.
Bearish SMT Divergence : This type of divergence occurs when one asset forms a higher high while the correlated asset forms a lower high. This divergence usually indicates weakness in the uptrend and can act as a signal for a trend reversal to the downside.
๐ต How to Use
SMT Divergence is an analytical technique that identifies divergences between two correlated assets in financial markets.
This technique is used when two assets that should move in the same direction move in opposite directions.
Identifying these divergences can help you pinpoint reversal points and trend changes in the market.
๐ฃ Bullish SMT Divergence
This divergence occurs when one asset forms a higher low while the correlated asset forms a lower low. This divergence indicates weakness in the downtrend and can signal a potential price reversal to the upside.
In this case, when the correlated asset is forming a lower low, and the main asset is moving lower but the correlated asset fails to continue the downward trend, there is a high probability of a trend reversal to the upside.
๐ฃ Bearish SMT Divergence
Bearish divergence occurs when one asset forms a higher high while the correlated asset forms a lower high. This type of divergence indicates weakness in the uptrend and can signal a potential trend reversal to the downside.
When the correlated asset fails to make a new high, this divergence may be a sign of a trend reversal to the downside.
๐ฃ Confirming Signals with Correlation
To improve the accuracy of the signals, use assets with strong correlation. Forex pairs like OANDA:EURUSD and OANDA:GBPUSD , or cryptocurrencies like COINBASE:BTCUSD and COINBASE:ETHUSD , or commodities such as gold ( FX:XAUUSD ) and silver ( FX:XAGUSD ) typically have significant correlation. Identifying divergences between these assets can provide a strong signal for a trend change.
๐ต Settings
Second Symbol : This setting allows you to select another asset for comparison with the primary asset. By default, "XAUUSD" (Gold) is set as the second symbol, but you can change it to any currency pair, stock, or cryptocurrency. For example, you can choose currency pairs like EUR/USD or GBP/USD to identify divergences between these two assets.
Divergence Fractal Periods : This parameter defines the number of past candles to consider when identifying divergences. The default value is 2, but you can change it to suit your preferences. This setting allows you to detect divergences more accurately by selecting a greater number of candles.
Bullish Divergence Line : Displays a line showing bullish divergence from the lows.
Bearish Divergence Line : Displays a line showing bearish divergence from the highs.
Bullish Divergence Label : Displays the "+SMT" label for bullish divergences.
Bearish Divergence Label : Displays the "-SMT" label for bearish divergences.
๐ต Conclusion
SMT Divergence is an effective tool for identifying trend changes and reversal points in financial markets based on identifying divergences between two correlated assets. This technique helps traders receive more accurate signals for market entry and exit by analyzing bullish and bearish divergences.
Identifying these divergences can provide opportunities to capitalize on trend changes in Forex, stocks, and cryptocurrency markets. Using SMT Divergence along with risk management and confirming signals with other technical analysis tools can improve the accuracy of trading decisions and reduce risks from sudden market changes.
Ultimate ICT [smart-money-indicators]This indicator is a tool to support the "ICT" strategy.
This indicator does not provide entry or exit signals.
This indicator is a tool to mark key price areas.
This indicator is a tool to mark key time areas.
This indicator is particularly distinguished by its high customizability of tools,
setting it apart from the indicators currently available on the TradingView platform.
The following key areas are marked with the help of lines, boxes, background color, or plots:
Time Separators:
- Monthly separator
- Weekly separator
- Daily separator
Liquidity Zones:
- Daily highs/lows
- Weekly highs/lows
- Monthly highs/lows
- Asia Session (during or after the session)
- London Session (during or after the session)
- New York Session (during or after the session)
- London Close Session (during or after the session)
- Session Quarters
- Central Banks Dealer Range
Opening Prices/Average Prices:
- Weekly opening price
- New Week Open Gap
- Daily opening price
- Premium/Discount zone of the day (50% line)
- New York Midnight Open price
- New York Session Open price
Manipulation Times:
- 3 Silver Bullet times
- Macros
How can I use or interpret these areas?
Liquidity Zones:
The liquidity zones used here are time-based.
Liquidity zones can be used, depending on the reaction, either to confirm the continuation of the current trend
or as a signal for a reversal of the current trend.
Opening Prices/Average Prices:
These can be used as separators between the premium and discount zones.
If the price is below one of these values, you are in the discount zone and might look for buy signals.
If the price is above one of these values, you are in the premium zone and might look for sell signals.
Market Structure Inducements ICT [TradinFinder] CHoch BOS Sweeps๐ต Introduction
Market Structure is the foundation for identifying trends in the market, crucial in technical analysis and strategies like ICT and SMC. Understanding key concepts such as Break of Structure (BOS) and Change of Character (CHOCH) helps traders recognize critical shifts in the market. BOS, referring to a Market Structure Change (BMS), and CHOCH or Market Structure Shift (MSS) signal trend reversals in the market.
Additionally, the concept of Inducement, a vital tool in Smart Money strategies, allows traders to avoid price traps. Identifying valid pullback, valid inducement, POI, and Liquidity Grab helps traders find optimal entry and exit points and leverage Smart Money movements effectively.
Bullish Market Structure :
Bearish Market Structure :
๐ต How to Use
The Market Structure indicator is designed to help traders better understand market structure and detect price traps. By using this indicator, you can identify the right entry and exit points based on structural changes in the market and avoid unprofitable trades. Below, we explain the key concepts and how to apply them in trading.
๐ฃ Market Structure
Market Structure refers to the overall pattern of price movement in the market. Using this indicator, traders can identify uptrends and downtrends and make better trading decisions based on changes in market structure. The two key concepts here are Break of Structure (BOS) and Change of Character (CHOCH).
Change of Character (CHOCH) : CHOCH occurs when the market shifts from an uptrend to a downtrend or vice versa. These changes typically indicate a broader trend reversal, and the indicator assists you in identifying them accurately.
Break of Structure (BOS) : When the market breaks a key support or resistance level, it signals a change in market structure. This indicator helps you identify these breakouts in time and take advantage of trading opportunities.
๐ฃ Inducement
Inducement refers to price traps set by Smart Money to trick retail traders into making the wrong trades. This indicator helps you recognize these traps and avoid unprofitable trades.
Valid Inducement : Valid Inducement refers to deliberately created price traps by major market players to gather liquidity from retail traders. Once the market has collected sufficient liquidity, it makes the real move, and professional traders use this moment to enter.
๐ฃ Valid Pullback
A Valid Pullback refers to a temporary market retracement, indicating a price correction within the main trend. This concept is crucial in technical analysis as it helps traders enter trades at the right time and profit from the continuation of the trend. The Market Structure indicator can identify these valid retracements, allowing traders to enter trades with greater confidence.
๐ฃ Point of Interest (POI)
Another important concept in market analysis is the Point of Interest (POI), referring to key price areas on the chart. POI includes zones where significant price movements are likely to occur. The Market Structure indicator helps you locate these key points and use them as entry signals for trades.
๐ฃ Liquidity Grab
Liquidity Grab refers to a scenario where the market intentionally moves to areas where retail traders' stop losses are placed. The goal is to gather liquidity, allowing major players to execute trades at better prices. By using this indicator, you can spot these liquidity grabs and avoid falling into price traps.
๐ต Setting
ChoCh Detector Period : The period of identifying the major market levels that occur when they break ChoCh.
BoS & Liquidity Detector Period : The period of identifying minor levels, which are used to identify BoS and Liquidity levels.
Inducement Detector Period : The period of identification of Inducement levels.
Fast Trend Detector : This feature will help you update the major market structure levels sooner.
Inducement Type Detector : Two modes "Sweeps" and "Total" can be used to identify the levels of Inducement. In "Sweeps" mode only Levels detected by touch shadow. In "Total" mode, all Levels are detected.
๐ต Conclusion
In financial market analysis and forex trading, identifying Market Structure and Inducement is crucial. Market Structure helps you detect uptrends and downtrends, and understand Break of Structure (BOS) and Change of Character (CHOCH). The concept of Inducement also enables traders to spot Smart Money price traps and avoid unprofitable trades.
The Market Structure indicator is a powerful tool that, by analyzing the market structure and concepts like valid pullback and valid inducement, helps you make more precise trade entries. Additionally, by identifying POI and Liquidity Grab, the indicator gives you the ability to spot key market zones and use them to your advantage in trading.
itradesize /\ Previous Liquidity x ICTIโd like to introduce a clean and simple RTH gap and liquidity levels indicator with additional Asian and London ranges, along with standard deviation levels and many customizable options.
Previous D/W/M highs and lows are areas where liquidity tends to accumulate. This is because many traders place stop-loss orders around these levels, creating a concentration of buy stops above the previous day's high and sell stops below the previous day's low. High-frequency trading algorithms and institutional traders often target these areas to capture liquidity.
What the indicator could show in summary?
- Regular trading hours gap with deviations
- Asia with deviations (lines or boxes)
- London with deviations (lines or boxes)
- Weekdays on chart
- 3 AM candle marker
- Previous D/W/M levels
- Important opening times (08:00, 09:30, 10:00, 14:00, 00:00, 18:00)โจ- Daily separators
By marking out the previous day's highs and lows, traders can create a framework for their trading day. This helps in identifying potential setups and understanding where significant price action might occur. It also aids in filtering out noise and focusing on the most relevant price levels.
These levels can also act as potential reversal points. When the market reaches a previous high or low, it might reverse direction, especially if it has raided the liquidity resting there. This concept is part of a strategy where traders look for the market to raid these levels and then reverse, providing trading opportunitiesย
The indicator shows previous liquidity levels on a daily, weekly, and monthly basis. It also displays opening times at 8:30, 9:30-10:00, 14:00-00:00, and 18:00. Opening times are crucial in trading because they help define specific periods when market activity is expected to be higher, which can lead to better trading opportunities.ย The script has been made mostly for indices.
You can create various entry and exit strategies based on the indicator. Please remember, that adequate knowledge of ICT is necessary for this to be beneficial.โจ
You might wonder why only these times are shown. This is because these are the times when the futures market is active or should be active. It's important to note that opening times can vary between different asset classes.
18:00 A new daily candle open
00:00 Midnight open
02:00 New 4-hour candle open
08:30 High-impact news
09:30 NY Equities open
10:00 New 4-hour candle open
The concept of "Asian Killzone Standard Deviations" involves using the Asian trading session's price range to project potential price movements during subsequent trading sessions, such as the London or New York sessions. This is done by calculating standard deviations from the Asian range, which can help traders identify potential support and resistance levels.
You can create a complete model by exclusively focusing on the Asian time zone. Deviations within this zone may have varying impacts on future price movements, and the Interbank Price Delivery Agreement (IPDA) often reflects Asia's high, close, and low prices.
A similar approach can be taken with the London time zone. The standard deviation levels within each zone could potentially serve as support or indicate reversals, including liquidity hunts. It's important to backtest these ideas to gain reliable insights into when and where to apply them.
* Asian Range: This is the price range established during the Asian trading session. It serves as a reference point for calculating standard deviations.
* London Range: The same applies to the London range as well. Combine standard deviation projections with other technical analysis tools, such as order blocks or fair value gaps, to enhance accuracy.
* Standard Deviations: These are statistical measures that indicate the amount of variation or dispersion from the average. In trading, they are used to project potential price levels beyond the current range.
You can also use regular trading hours gap as a standalone model. The 4 STDV and 2.5 STDV levels are important for determining the high or low of the current price action.ย
The RTH gap is created when there is a difference between the closing price of a market at the end of one trading day and the opening price at the start of the next trading day. This gap can be upward (gap higher), downward (gap lower), or unchanged. It is significant because it often indicates market sentiment and can create inefficiencies that traders look to exploit.
Alternatively, you can combine these elements to create a complete strategy for different scenarios.
Pure Price Action ICT Tools [LuxAlgo]The Pure Price Action ICT Tools indicator is designed for pure price action analysis, automatically identifying real-time market structures, liquidity levels, order & breaker blocks, and liquidity voids.
Its unique feature lies in its exclusive reliance on price patterns, without being constrained by any user-defined inputs, ensuring a robust and objective analysis of market dynamics.
๐ถ MARKET STRUCTURES
A Market Structure Shift, also known as a Change of Character (CHoCH), is a pivotal event in price action analysis indicating a potential change in market sentiment or direction. An MSS occurs when the price reverses from an established trend, signaling that the prevailing trend may be losing momentum and a reversal might be underway. This shift is often identified by key technical patterns, such as a higher low in a downtrend or a lower high in an uptrend, which indicate a weakening of the current trend's strength.
A Break of Structure typically indicates the continuation of the current market trend. This event occurs when the price decisively moves beyond a previous swing high or low, confirming the strength of the prevailing trend. In an uptrend, a BOS is marked by the price breaking above a previous high, while in a downtrend, it is identified by the price breaking below a previous low.
While a Market Structure Shift (MSS) can indicate a potential trend reversal and a Break of Structure (BOS) often confirms trend continuation, they do not assure a complete reversal or continuation. MSS and BOS levels can also function as liquidity zones or areas of price consolidation rather than definitively signaling a change in market direction. Traders should approach these signals cautiously and validate them with additional factors before making trading decisions. For further details on other components of the tool, please refer to the following sections.
๐ถ ORDER & BREAKER BLOCKS
Order and Breaker Blocks are key concepts in price action analysis that help traders identify significant levels in the market structure.
Order Blocks are specific price zones where significant buying or selling activity has occurred. These zones often represent the actions of large institutional traders or market makers, who execute substantial orders that impact the market.
Breaker Blocks are specific price zones where a strong reversal occurs, causing a break in the prevailing market structure. These blocks indicate areas where the price encountered significant resistance or support, leading to a reversal.
In summary, Order and Breaker Blocks are essential tools in price action analysis, providing insights into significant market levels influenced by institutional trading activities. These blocks help traders make informed decisions about potential support and resistance levels, trend reversals, and breakout confirmations.
๐ถ BUYSIDE & SELLSIDE LIQUIDITY
Both buy-side and sell-side liquidity zones are critical for identifying potential turning points in the market. These zones are where significant buying or selling interest is concentrated, influencing future price movements.
In summary, buy-side and sell-side liquidity provide crucial insights into market demand and supply dynamics, helping traders make informed decisions based on the availability of orders at different price levels.
๐ถ LIQUIDITY VOIDS
Liquidity voids are gaps or areas on a price chart where there is a lack of trading activity. These voids represent zones with minimal to no buy or sell orders, often resulting in sharp price movements when the market enters these areas.
In summary, liquidity voids are crucial areas on a price chart characterized by a lack of trading activity. These voids can lead to rapid price movements and increased volatility, making them essential considerations for traders in their analysis and decision-making processes.
๐ถ SWING POINTS
Reversal price points are commonly referred to as swing points. Traders often analyze historical swing points to discern market trends and pinpoint potential trade entry and exit points.
Do note that in this script these are subject to backpainting, that is they are not located where they are detected.
The detection of swing points and the unique feature of this script rely exclusively on price action, eliminating the need for numerical user-defined settings. The process begins with detecting short-term swing points:
Short-Term Swing High (STH): Identified as a price peak surrounded by lower highs on both sides.
Short-Term Swing Low (STL): Recognized as a price trough surrounded by higher lows on both sides.
Intermediate-term and long-term swing points are detected using the same approach but with a slight modification. Instead of directly analyzing price candles, previously detected short-term swing points are utilized. For intermediate-term swing points, short-term swing points are analyzed, while for long-term swing points, intermediate-term ones are used.
This method ensures a robust and objective analysis of market dynamics, offering traders reliable insights into market structures. Detected swing points serve as the foundation for identifying market structures, buy-side/sell-side liquidity levels, and order and breaker blocks presented with this tool.
In summary, swing points are essential elements in technical analysis, helping traders identify trends, support, and resistance levels, and optimal entry and exit points. Understanding swing points allows traders to make informed decisions based on the natural price movements in the market.
๐ถ SETTINGS
๐น Market Structures
Market Structures: Toggles the visibility of the market structures, both shifts and breaks.
Detection: An option that allows users to detect market structures based on the significance of swing levels, including short-term, intermediate-term, and long-term.
Market Structure Labels: Controls the visibility of labels that highlight the type of market structure.
Line Style: Customizes the style of the lines representing the market structure.
๐น Order & Breaker Blocks
Order & Breaker Blocks: Toggles the visibility of the order & breaker blocks.
Detection: An option that allows users to detect order & breaker blocks based on the significance of swing levels, including short-term, intermediate-term, and long-term.
Last Bullish Blocks: Number of the most recent bullish order/breaker blocks to display on the chart.
Last Bearish Blocks: Number of the most recent bearish order/breaker blocks to display on the chart.
Use Candle Body: Allows users to use candle bodies as order block areas instead of the full candle range.
๐น Buyside & Sellside Liquidity
Buyside & Sellside Liquidity: Toggles the visibility of the buyside & sellside liquidity levels.
Detection: An option that allows users to detect buy-side & sell-side liquidity based on the significance of swing levels, including short-term, intermediate-term, and long-term.
Margin: Sets margin/sensitivity for a liquidity level detection.
Visible Levels: Controls the amount of the liquidity levels/zones to be visualized.
๐น Liquidity Voids
Liquidity Voids: Enable display of both bullish and bearish liquidity voids.
Threshold Multiplier: Defines the multiplier for the threshold, which is hard-coded to the 200-period ATR range.
Mode: Controls the lookback length for detection and visualization. Present considers the last X bars specified in the option, while Historical includes all available data.
Label: Enable display of a label indicating liquidity voids.
๐น Swing Highs/Lows
Swing Highs/Lows: Toggles the visibility of the swing levels.
Detection: An option that allows users to detect swing levels based on the significance of swing levels, including short-term, intermediate-term, and long-term.
Label Size: Control the size of swing level labels.
๐ถ RELATED SCRIPTS
Pure-Price-Action-Structures.
Market-Structures-(Intrabar).
Buyside-Sellside-Liquidity.
Order-Breaker-Blocks.
Change in State of Delivery CISD ICT [TradingFinder] Liquidity 1๐ต Introduction
๐ฃ 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 :
๐ต How to Use
๐ฃ 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.
๐ฃ 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.
๐ฃ 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 marketโs 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.
๐ต Settings
๐ฃ 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.
๐ฃ 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.
๐ฃ CISD Display settings
Displaying or not displaying swings and setting the color of labels and lines.
๐ฃ SFP Display settings
Displaying or not displaying swings and setting the color of labels and lines.
๐ต 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.
Swing Failure Pattern SFP [TradingFinder] SFP ICT Strategy๐ต 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.
Itโs 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.
๐ฃ 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.
๐ฃ 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 couldnโt maintain the higher price, leading to a potential decline.
๐ต 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.
๐ฃ 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.
๐ฃ 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.
๐ต Settings
๐ฃ 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.
๐ฃ Display settings
Displaying or not displaying swings and setting the color of labels and lines.
๐ฃ 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'.
๐ต 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.
Inversion Fair Value Gaps [TradingFinder] IFVG ICT Signal| Alert๐ต Introduction
๐ฃ Inversion Fair Value Gap (IFVG)
An ICT Inversion Fair Value Gap, or reverse FVG, occurs when a fair value gap fails to hold its price, resulting in the price moving beyond and breaking the gap. This situation marks the initial change in price momentum.
Generally, prices respect fair value gaps and continue in their trend direction. However, when a fair value gap is breached, it transforms into an inversion fair value gap, signaling a potential short-term reversal or a subsequent change in direction.
๐ต How to Use
๐ฃ Identifying an Inversion Fair Value Gap
To spot an IFVG, you must first identify a fair value gap.
Inversion fair value gaps can be categorized into two types :
๐ฃ Bullish Inversion Fair Value Gap
A bullish IFVG occurs when a bearish fair value gap is invalidated by the price closing above it.
Steps to identify it :
Identify a bearish fair value gap.
When the price closes above this gap, it becomes a bullish inversion fair value gap.
This gap acts as a support level, pushing the price upwards and indicating a shift in momentum from sellers to buyers.
๐ฃ Bearish Inversion Fair Value Gap
A bearish IFVG happens when a bullish fair value gap fails, with the price closing below it.
Steps to identify it :
Identify a bullish fair value gap.
When the price closes below this gap, it becomes a bearish inversion fair value gap.
This gap acts as a resistance level, pushing the price downwards and indicating a shift in momentum from buyers to sellers.
๐ต Settings
๐ฃ Global Settings
Show All Inversion FVG: If disabled, only the most recent FVG will be displayed.
IFVG Validity Period (Bar): Determines the maximum duration (in number of candles) that the FVG and IFVG remain valid.Switching Colors Theme Mode: Includes three modes: "Off", "Light", and "Dark". "Light" mode adjusts colors for light mode use, "Dark" mode adjusts colors for dark mode use, and "Off" disables color adjustments.
๐ฃ Logic Settings
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 filters :
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 Filte r: 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.
Mitigation Level FVG and IFVG : Options include "Proximal", "Distal", or "50 % OB" modes, which you can choose based on your needs. The "50 % OB" line is the midpoint between distal and proximal.
๐ฃ Display Settings
Show Bullish IFVG : Toggles the display of demand-related boxes.
Show Bearish IFVG : Toggles the display of supply-related boxes.
๐ฃ Alert Settings
Alert Inversion FVG Mitigation : Enables alerts for Inversion FVG mitigation.
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'.
Display More Info : Provides additional details in alert messages, including price range, date, hour, and minute. Set to 'Off' to exclude this information.
Everything ICT v1โโOVERVIEW
This script presents some of the concepts taught by the ICT. It includes "Fair value gaps", "Double tops and bottoms", "New week opening gaps", "Optimal trade entry" and some other minor things. This is a work in progress and there will be more concepts included in the future.
โโFEATURES
The first group in the indicator's menu is "Active fair value gaps" .
Its purpose is to display a FVG if the price enters one. Most of the other scripts are deleting the FVG when the price go through it but this script won't. You can choose how many candles to look back for a FVG, FVG lines transparency and to show only current FVG and delete old ones.
Second, you can choose to show relatively equal highs and lows otherwise known as double bottoms and tops . There is a filter which will remove some of the lines. It is included to clean up your chart a bit but if you don't want to miss something you can leave it enabled.
There is a precision value which is ranging between 20 and 120. Higher number means the difference between the two highs/lows should be very small. On its biggest setting 120 it will display only equal highs/lows.
You can choose the colors and width of the lines.
"Weekend gaps" category is self explanatory. You can chose either to show them or not, colors and width.
"Optimal trade entry" is constantly measuring a defined range and it's presenting real-time a graph on the chart with which you can easily find if price is in OTE.
There are options to choose how many candles to look back for defining a range and everything else is for the minimal visual representation.
And lastly, there are options to show horizontal line at 0:00 am NY local time, clock adjustment setting if the line doesn't correspond to its spot and option to change the color of a FVG candle which in my opinion is the most useful thing in a trading indicator.
Credits: ICT
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
This indicator is not meant to be, and do not constitute, financial, investment, trading, or other types of advice.
Please note that it is NOT providing trading signals but trading ideas instead.
Under no circumstances will the Programmer be held responsible or liable in any way for any claims, damages, losses, expenses, costs or liabilities whatsoever (including, without limitation, any direct or indirect damages for loss of profits, business interruption or loss of information) resulting or arising directly or indirectly from your use of or inability to use this indicator or anything linked to it, or from your reliance on the information and material on this indicator, even if the Programmer has been advised of the possibility of such damages in advance.
All trades you make are your responsibility.
dmn's ICT AMD-Goldbachโ OVERVIEW
This script is built on ICT time & price theory and the theory of algorithmic market maker models, and visualizes the intraday divided using powers of three into accumulation, manipulation and distribution cycles.
It also includes an automatically calculated and plotted Goldbach level (a.k.a. IPDA level or Huddleston level) overlay, to help visualize where in the current market maker profile price is in relation to the AMD cycles, and where it might trade to.
โ CONCEPTS
Accumulation, Manipulation, Distribution Cycles
A 24 hour day, with the default set to start at 20:00 CET (the start of the Forex CLS Settlement operational timeline) is split in three parts - 9, 6 and 9 hours for the three cycles (roughly corresponding with Asia, London Open and New York + London Close sessions).
Since charts are fractals, there's also intra-cycle time fibs available in the script, to highlight the smaller fractal equivalents in each cycle.
These cycles are used to visualize the three phases (AMD) for easier identification of the current daily profile by analyzing during what cycle highs and lows of the day are made.
An example of a bullish day could be price rallying before making a low during the accumulation cycle, being manipulated higher and retracing to form an optimal trade entry during the manipulation cycle, expanding and creating the high of the day before selling off during the distribution cycle, with a potential reversal before it ends.
Goldbach levels
The Goldbach levels are based on the size of a price range (or price swing, if you will) expressed as a factor of power of three (3^n).
To decide what number to tell the script to use for the calculation, we look at what 3^n number best fits an average swing on the preferred timeframe we're trading.
For example; PO3 27 (3^3)might be fit for scalping, while PO3 243 (3^5) may correspond to the daily or weekly range, depending on the asset.
The script then calculates a range high and a range low using a power of three formula based on the current price and divides it into levels using Goldbach numbers.
At these levels one might expect to see price form various "blocks" as defined in concept by Michael J. Huddleston.
The blocks that correspond to the Goldbach levels are labeled with abbreviations as follows:
Ext = External range
Low = Range low
High = Range high
FVG = Fair value gap
RB = Rejection block
OB = Order block
LV = Liquidity void
BR = Breaker
MB = Mitigation block
Using these levels and said blocks we identify where in the current running market maker profile price is offered, and trade the preferred timeframe in line with the AMD cycles accordingly.
โ FEATURES
Custom AMD time cycles session times.
Custom time fib for fractal cycles.
Color and style customization.
Show only current or also historical cycles.
Equilibrium mode for Goldbach levels (show only high/low and midpoint)
Autodetection of asset type, with manual override.
โ NOTE
The default timings for the AMD cycles are set up for Forex pairs. For other asset types, such as indices, other timings are nessecary for optimal results.
Goldbach levels requires the correct symbol type setting for the calculation to work properly. Disable the script's autodetection and enable/disable the Forex option according to the type of chart if it fails.
OTE optimal trade entry (ICT); visible chart only: Dynamic-simple tool based on ICT free YouTube material of many years.
-Highlights a box showing Optimal Trade Entry (OTE): 61.8% - 78.6% retracement
-Auto shifts depending on Bull or Bear move on chart.
--If visible chart is Bullish (low then high): shows OTE box 61.8-78.6% retracement down from the high
--If visible chart is Bearish (high then low): shows OTE box 61.8-78.6% retracement up from the low
-Thanks the use of PineCoders Visible Chart Library, and some of the example code there