Greer Gap# Greer Gap Indicator (No mitigation: i.e. removing false signals)
## Summary
The **Greer Gap Indicator** identifies **Fair Value Gaps (FVGs)** and introduces specialized **Greer Bull Gaps (Blue)** and **Greer Bear Gaps (Orange)** to highlight high-probability trading opportunities. Unlike traditional FVG indicators, it avoids hindsight bias by not removing historical gaps based on future price action, ensuring transparency in signal accuracy. Built upon LuxAlgoโs FVG logic, it adds unique filtering: only the first Greer Gap after an opposite gap is plotted if its level (min for Bull, max for Bear) is not higher/lower than the previous Greer Gap of the same type, while all valid gaps are recorded for comparison. Traders can use these gaps as support/resistance or entry signals, customizable via timeframe, look back, and display options.
## Description
This indicator detects and displays **Fair Value Gaps (FVGs)** on the chart, with a focus on specialized **Greer Gaps**:
- **Bullish Gaps (Green)**: Areas where the low of the current candle is above the high of a previous candle (look back period), indicating potential upward momentum.
- **Bearish Gaps (Red)**: Areas where the high of the current candle is below the low of a previous candle, indicating potential downward momentum.
- **Greer Bull Gaps (Blue)**: A bullish gap that is above the latest bearish gap's max. Only the first such gap after a bearish gap is plotted if it meets criteria (not higher than the previous Greer Bull Gap's min), but all valid ones are recorded for comparison.
- **Greer Bear Gaps (Orange)**: A bearish gap that is below the latest bullish gap's min. Only the first such gap after a bullish gap is plotted if it meets criteria (not lower than the previous Greer Bear Gap's max), but all valid ones are recorded.
## How It Works
The script uses a dynamic look back period to detect FVGs. It maintains a record of all detected gaps and applies additional logic for Greer Gaps:
- **Greer Bull Gaps**: Checks if the new bullish gap's min is above the latest bearish gap's max. Plots only if it's the first since the last bearish gap and its min is <= previous Greer Bull min (or first one).
- **Greer Bear Gaps**: Checks if the new bearish gap's max is below the latest bullish gap's min. Plots only if it's the first since the last bullish gap and its max is >= previous Greer Bear max (or first one).
- **Resets**: A new bearish gap resets the Greer Bull Gap flag, and a new bullish gap resets the Greer Bear Gap flag.
## How to Use
- **Timeframe**: Set a higher timeframe (e.g., 'D' for daily) to detect gaps from that timeframe on the current chart.
- **Look back Period**: Adjust to change gap detection sensitivity (default: 34). Use 2 if you want to compare to LuxAlgo
- **Extend**: Controls how far right the gap boxes extend.
- **Show Options**: Toggle visibility of all bullish/bearish gaps or Greer Gaps.
- **Colors**: Customize colors for each gap type.
- **Application**: Use Greer Gaps as potential support/resistance levels or entry signals, but combine with other analysis for confirmation.
## Originality and Credits
This script is inspired by and builds upon the **"Fair Value Gap "** indicator by LuxAlgo (available on TradingView: ()).
**Credits**: Thanks to LuxAlgo for the core FVG detection logic.
**Significant Changes**:
- Added **Greer Bull and Bear Gap** logic for filtered, directional gaps with reset mechanisms.
- Introduced recording of all valid Greer Gaps without plotting all, to compare levels without hindsight bias.
- **No mitigation/removal of gaps**: Unlike LuxAlgo's approach, which mitigates (removes or alters) gaps based on future price action (e.g., when filled), this can create a hindsight bias where incorrect signals disappear over time. If a signal is used for a trade and later removed due to new data, it doesn't reflect real-time performance accurately. The Greer Gap avoids this by using gap comparisons to validate signals without altering historical boxes, ensuring transparency in when signals were right or wrong.
Cari skrip untuk "fair value gap"
Smart Moving Concepts [GILDEX]This all-in-one indicator displays real-time market structure (internal & swing BOS / CHoCH), order blocks, premium & discount zones, equal highs & lows, and much more...allowing traders to automatically mark up their charts with widely used price action methodologies. Following the release of our Fair Value Gap script, we received numerous requests from our community to release more features in the same category.
"Smart Money Concepts" (SMC) is a fairly new yet widely used term amongst price action traders looking to more accurately navigate liquidity & find more optimal points of interest in the market. Trying to determine where institutional market participants have orders placed (buy or sell side liquidity) can be a very reasonable approach to finding more practical entries & exits based on price action.
The indicator includes alerts for the presence of swing structures and many other relevant conditions.
Features
This indicator includes many features relevant to SMC, these are highlighted below:
Full internal & swing market structure labeling in real-time
Break of Structure (BOS)
Change of Character (CHoCH)
Order Blocks (bullish & bearish)
Equal Highs & Lows
Fair Value Gap Detection
Previous Highs & Lows
Premium & Discount Zones as a range
Options to style the indicator to more easily display these concepts
Settings
Mode: Allows the user to select Historical (default) or Present, which displays only recent data on the chart.
Style: Allows the user to select different styling for the entire indicator between Colored (default) and Monochrome.
Color Candles: Plots candles based on the internal & swing structures from within the indicator on the chart.
Internal Structure: Displays the internal structure labels & dashed lines to represent them. (BOS & CHoCH).
Confluence Filter: Filter non-significant internal structure breakouts.
Swing Structure: Displays the swing structure labels & solid lines on the chart (larger BOS & CHoCH labels).
Swing Points: Displays swing points labels on chart such as HH, HL, LH, LL.
Internal Order Blocks: Enables Internal Order Blocks & allows the user to select how many most recent Internal Order Blocks appear on the chart.
Swing Order Blocks: Enables Swing Order Blocks & allows the user to select how many most recent Swing Order Blocks appear on the chart.
Equal Highs & Lows: Displays EQH/EQL labels on chart for detecting equal highs & lows.
Bars Confirmation: Allows the user to select how many bars are needed to confirm an EQH/EQL symbol on chart.
Fair Value Gaps: Displays boxes to highlight imbalance areas on the chart.
Auto Threshold: Filter out non-significant fair value gaps.
Timeframe: Allows the user to select the timeframe for the Fair Value Gap detection.
Extend FVG: Allows the user to choose how many bars to extend the Fair Value Gap boxes on the chart.
Highs & Lows MTF: Allows the user to display previous highs & lows from daily, weekly, & monthly timeframes as significant levels.
Premium/Discount Zones: Allows the user to display Premium, Discount, and Equilibrium zones on the chart
Silver Bullet ICT Strategy [TradingFinder] 10-11 AM NY Time +FVG๐ต Introduction
The ICT Silver Bullet trading strategy is a precise, time-based algorithmic approach that relies on Fair Value Gaps and Liquidity to identify high-probability trade setups. The strategy primarily focuses on the New York AM Session from 10:00 AM to 11:00 AM, leveraging heightened market activity within this critical window to capture short-term trading opportunities.
As an intraday strategy, it is most effective on lower timeframes, with ICT recommending a 15-minute chart or lower. While experienced traders often utilize 1-minute to 5-minute charts, beginners may find the 1-minute timeframe more manageable for applying this strategy.
This approach specifically targets quick trades, designed to take advantage of market movements within tight one-hour windows. By narrowing its focus, the Silver Bullet offers a streamlined and efficient method for traders to capitalize on liquidity shifts and price imbalances with precision.
In the fast-paced world of forex trading, the ability to identify market manipulation and false price movements is crucial for traders aiming to stay ahead of the curve. The Silver Bullet Indicator simplifies this process by integrating ICT principles such as liquidity traps, Order Blocks, and Fair Value Gaps (FVG).
These concepts form the foundation of a tool designed to mimic the strategies of institutional players, empowering traders to align their trades with the "smart money." By transforming complex market dynamics into actionable insights, the Silver Bullet Indicator provides a powerful framework for short-term trading success
Silver Bullet Bullish Setup :
Silver Bullet Bearish Setup :
๐ต How to Use
The Silver Bullet Indicator is a specialized tool that operates within the critical time windows of 9:00-10:00 and 10:00-11:00 in the forex market. Its design incorporates key principles from ICT (Inner Circle Trader) methodology, focusing on concepts such as liquidity traps, CISD Levels, Order Blocks, and Fair Value Gaps (FVG) to provide precise and actionable trade setups.
๐ฃ Bullish Setup
In a bullish setup, the indicator starts by marking the high and low of the session, serving as critical reference points for liquidity. A typical sequence involves a liquidity grab below the low, where the price manipulates retail traders into selling positions by breaching a key support level.
This movement is often orchestrated by smart money to accumulate buy orders. Following this liquidity grab, a market structure shift (MSS) occurs, signaled by the price breaking the CISD Levelโa confirmation of bullish intent. The indicator then highlights an Order Block near the CISD Level, representing the zone where institutional buying is concentrated.
Additionally, it identifies a Fair Value Gap, which acts as a high-probability area for price retracement and trade entry. Traders can confidently take long positions when the price revisits these zones, targeting the next significant liquidity pool or resistance level.
Bullish Setup in CAPITALCOM:US100 :
๐ฃ Bearish Setup
Conversely, in a bearish setup, the price manipulates liquidity by creating a false breakout above the high of the session. This move entices retail traders into long positions, allowing institutional players to enter sell orders.
Once the price reverses direction and breaches the CISD Level to the downside, a change of character (CHOCH) becomes evident, confirming a bearish market structure. The indicator highlights an Order Block near this level, indicating the origin of the institutional sell orders, along with an associated FVG, which represents an imbalance zone likely to be revisited before the price continues downward.
By entering short positions when the price retraces to these levels, traders align their strategies with the anticipated continuation of bearish momentum, targeting nearby liquidity voids or support zones.
Bearish Setup in OANDA:XAUUSD :
๐ต Settings
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
๐ต Conclusion
The Silver Bullet Indicator is a cutting-edge tool designed specifically for forex traders who aim to leverage market dynamics during critical liquidity windows. By focusing on the highly active 9:00-10:00 and 10:00-11:00 timeframes, the indicator simplifies complex market concepts such as liquidity traps, Order Blocks, Fair Value Gaps (FVG), and CISD Levels, transforming them into actionable insights.
What sets the Silver Bullet Indicator apart is its precision in detecting false breakouts and market structure shifts (MSS), enabling traders to align their strategies with institutional activity. The visual clarity of its signals, including color-coded zones and directional arrows, ensures that both novice and experienced traders can easily interpret and apply its findings in real-time.
By integrating ICT principles, the indicator empowers traders to identify high-probability entry and exit points, minimize risk, and optimize trade execution. Whether you are capturing short-term price movements or navigating complex market conditions, the Silver Bullet Indicator offers a robust framework to enhance your trading performance.
Ultimately, this tool is more than just an indicator; it is a strategic ally for traders who seek to decode the movements of smart money and capitalize on institutional strategies. With the Silver Bullet Indicator, traders can approach the market with greater confidence, precision, and profitability.
ICT Setup 03 [TradingFinder] Judas Swing NY 9:30am + CHoCH/FVG๐ต Introduction
Judas Swing is an advanced trading setup designed to identify false price movements early in the trading day. This advanced trading strategy operates on the principle that major market players, or "smart money," drive price in a certain direction during the early hours to mislead smaller traders.
This deceptive movement attracts liquidity at specific levels, allowing larger players to execute primary trades in the opposite direction, ultimately causing the price to return to its true path.
The Judas Swing setup functions within two primary time frames, tailored separately for Forex and Stock markets. In the Forex market, the setup uses the 8:15 to 8:30 AM window to identify the high and low points, followed by the 8:30 to 8:45 AM frame to execute the Judas move and identify the CISD Level break, where Order Block and Fair Value Gap (FVG) zones are subsequently detected.
In the Stock market, these time frames shift to 9:15 to 9:30 AM for identifying highs and lows and 9:30 to 9:45 AM for executing the Judas move and CISD Level break.
Concepts such as Order Block and Fair Value Gap (FVG) are crucial in this setup. An Order Block represents a chart region with a high volume of buy or sell orders placed by major financial institutions, marking significant levels where price reacts.
Fair Value Gap (FVG) refers to areas where price has moved rapidly without balance between supply and demand, highlighting zones of potential price action and future liquidity.
Bullish Setup :
Bearish Setup :
๐ต How to Use
The Judas Swing setup enables traders to pinpoint entry and exit points by utilizing Order Block and FVG concepts, helping them align with liquidity-driven moves orchestrated by smart money. This setup applies two distinct time frames for Forex and Stocks to capture early deceptive movements, offering traders optimized entry or exit moments.
๐ฃ Bullish Setup
In the Bullish Judas Swing setup, the first step is to identify High and Low points within the initial time frame. These levels serve as key points where price may react, forming the basis for analyzing the setup and assisting traders in anticipating future market shifts.
In the second time frame, a critical stage of the bullish setup begins. During this phase, the price may create a false break or Fake Break below the low level, a deceptive move by major players to absorb liquidity. This false move often causes smaller traders to enter positions incorrectly. After this fake-out, the price reverses upward, breaking the CISD Level, a critical point in the market structure, signaling a potential bullish trend.
Upon breaking the CISD Level and reversing upward, the indicator identifies both the Order Block and Fair Value Gap (FVG). The Order Block is an area where major players typically place large buy orders, signaling potential price support. Meanwhile, the FVG marks a region of supply-demand imbalance, signaling areas where price might react.
Ultimately, after these key zones are identified, a trader may open a buy position if the price reaches one of these critical areasโOrder Block or FVGโand reacts positively. Trading at these levels enhances the chance of success due to liquidity absorption and support from smart money, marking an opportune time for entering a long position.
๐ฃ Bearish Setup
In the Bearish Judas Swing setup, analysis begins with marking the High and Low levels in the initial time frame. These levels serve as key zones where price could react, helping to signal possible trend reversals. Identifying these levels is essential for locating significant bearish zones and positioning traders to capitalize on downward movements.
In the second time frame, the primary bearish setup unfolds. During this stage, price may exhibit a Fake Break above the high, causing a brief move upward and misleading smaller traders into incorrect positions. After this false move, the price typically returns downward, breaking the CISD Levelโa crucial bearish trend indicator.
With the CISD Level broken and a bearish trend confirmed, the indicator identifies the Order Block and Fair Value Gap (FVG). The Bearish Order Block is a region where smart money places significant sell orders, prompting a negative price reaction. The FVG denotes an area of supply-demand imbalance, signifying potential selling pressure.
When the price reaches one of these critical areasโthe Bearish Order Block or FVGโand reacts downward, a trader may initiate a sell position. Entering trades at these levels, due to increased selling pressure and liquidity absorption, offers traders an advantage in profiting from price declines.
๐ต Settings
Market : The indicator allows users to choose between Forex and Stocks, automatically adjusting the time frames for the "Opening Range" and "Trading Permit" accordingly: Forex: 8:15โ8:30 AM for identifying High and Low points, and 8:30โ8:45 AM for capturing the Judas move and CISD Level break. Stocks: 9:15โ9:30 AM for identifying High and Low points, and 9:30โ9:45 AM for executing the Judas move and CISD Level break.
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
๐ต Conclusion
The Judas Swing indicator helps traders spot reliable trading opportunities by detecting false price movements and key levels such as Order Block and FVG. With a focus on early market movements, this tool allows traders to align with major market participants, selecting entry and exit points with greater precision, thereby reducing trading risks.
Its extensive customization options enable adjustments for various market types and trading conditions, giving traders the flexibility to optimize their strategies. Based on ICT techniques and liquidity analysis, this indicator can be highly effective for those seeking precision in their entry points.
Overall, Judas Swing empowers traders to capitalize on significant market movements by leveraging price volatility. Offering precise and dependable signals, this tool presents an excellent opportunity for enhancing trading accuracy and improving performance
Liquidity Voids (FVG) [LuxAlgo]The Liquidity Voids (FVG) indicator is designed to detect liquidity voids/imbalances derived from the fair value gaps and highlight the distribution of the liquidity voids at specific price levels.
Fair value gaps and liquidity voids are both indicators of sell-side and buy-side imbalance in trading. The only difference is how they are represented in the trading chart. Liquidity voids occur when the price moves sharply in one direction forming long-range candles that have little trading activity, whilst a fair value is a gap in price.
๐ถ USAGE
Liquidity can help you to determine where the price is likely to head next. In conjunction with higher timeframe market structure, and supply and demand, liquidity can give you insights into potential price movement. It's essential to practice using liquidity alongside trend analysis and supply and demand to read market conditions effectively.
The peculiar thing about liquidity voids is that they almost always fill up. And by โfillingโ, we mean the price returns to the origin of the gap. The reason for this is that during the gap, an imbalance is created in the asset that has to be made up for. The erasure of this gap is what we call the filling of the void. And while some voids waste no time in filling, some others take multiple periods before they get filled.
๐ถ SETTINGS
The script takes into account user-defined parameters and detects the liquidity voids based on them, where detailed usage for each user-defined input parameter in indicator settings is provided with the related input's tooltip.
๐น Liquidity Detection
Liquidity Voids Threshold: Act as a filter while detecting the Liquidity Voids. When set to 0 basically means no filtering is applied, increasing the value causes the script to check the width of the void compared to a fixed-length ATR value
Bullish: Color customization option for Bullish Liquidity Voids
Bearish: Color customization option for Bearish Liquidity Voids
Labels: Toggles the visibility of the Liquidity Void label
Filled Liquidity Voids: Toggles the visibility of the Filled Liquidity Voids
๐น Display Options
Mode: Controls the lookback length of detection and visualization
# Bars: Lookback length customization, in case Mode is set to Present
๐ถ RELATED SCRIPTS
Buyside-Sellside-Liquidity
Fair-Value-Gaps
Smart Structure Pro - Market Structure & Smart Money Conceptsโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
SMART STRUCTURE PRO
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
A comprehensive market structure analysis tool that identifies institutional trading
patterns and smart money concepts for improved trade timing and decision-making.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ WHAT IT DOES
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
This indicator automatically detects and visualizes key market structure elements:
๐น BOS (Break of Structure)
- Identifies trend continuation patterns
- Marks when price breaks above previous highs (bullish) or below previous lows (bearish)
- Confirms trend strength and momentum
๐น CHoCH (Change of Character)
- Detects potential trend reversals
- Alerts when market structure shifts from bullish to bearish or vice versa
- Helps identify early reversal opportunities
๐น Order Blocks
- Highlights institutional entry zones
- Identifies the last opposite candle before a structure break
- Shows areas where smart money likely entered positions
๐น Fair Value Gaps (FVG)
- Detects price imbalances and inefficiencies
- Shows areas where price moved rapidly leaving gaps
- Often act as support/resistance when retested
๐น Liquidity Zones
- Marks swing high and low levels
- Identifies areas where stop losses likely cluster
- Shows potential stop hunt and liquidity grab zones
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๐ฏ HOW TO USE
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
BULLISH SETUP:
1. Wait for Bullish CHoCH (trend reversal signal) or BOS โ (continuation)
2. Look for price to pull back into an Order Block or Fair Value Gap
3. Enter long when price bounces from these zones
4. Place stop loss below the Order Block
5. Target the next liquidity zone or resistance level
BEARISH SETUP:
1. Wait for Bearish CHoCH (trend reversal signal) or BOS โ (continuation)
2. Look for price to retrace into an Order Block or Fair Value Gap
3. Enter short when price rejects from these zones
4. Place stop loss above the Order Block
5. Target the next liquidity zone or support level
DASHBOARD INTERPRETATION:
โข Trend: Current market direction (Bullish/Bearish)
โข Volume: Confirmation strength (High volume = stronger signals)
โข Signal: Latest structure break detected
โข Key High/Low: Critical levels for the current trend
โข Position: Price location (Premium = expensive, Discount = cheap)
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โ๏ธ SETTINGS GUIDE
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
STRUCTURE DETECTION:
โข Pivot Length (Default: 10)
- Lower values = More signals but potentially weaker
- Higher values = Fewer signals but stronger/more reliable
- Recommended: 8-12 for intraday, 10-15 for higher timeframes
โข Structure Line Extension
- Visual preference for how far lines extend
- Does not affect signal detection
SMART MONEY CONCEPTS:
โข Order Block Extension: How long OB boxes remain visible
โข FVG Extension: How long gap boxes remain visible
โข Min FVG Size: Filter out small gaps (0 = show all)
- Set to 10-20% to reduce noise
- Set to 0 to see all gaps
VOLUME FILTER:
โข Volume Confirmation (Recommended: ON)
- Filters weak signals without volume support
- Reduces false breakouts
โข Volume Multiplier (Default: 1.5)
- Higher = Stricter filtering (fewer but stronger signals)
- Lower = More signals (but may include weak ones)
DISPLAY:
โข Dashboard: Toggle information panel
โข Trend Background: Subtle color tint showing current trend
โข Dashboard Position: Choose corner placement
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๐ ALERTS
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Available alert conditions:
โ Bullish BOS - Uptrend continuation confirmed
โ Bearish BOS - Downtrend continuation confirmed
โ Bullish CHoCH - Reversal to uptrend detected
โ Bearish CHoCH - Reversal to downtrend detected
โ Structure Break - Any significant market structure change
To set up alerts:
1. Click the "โฐ" alert icon
2. Select "Smart Structure Pro"
3. Choose your desired condition
4. Configure notification method
5. Click "Create"
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๏ธ IMPORTANT DISCLOSURES
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
REPAINTING BEHAVIOR:
โข Pivot points WILL repaint until confirmed (this is by design and unavoidable)
โข Structure breaks (BOS/CHoCH) use CLOSED candles and do NOT repaint after confirmation
โข Order Blocks and FVGs are drawn on confirmed signals and do NOT repaint
โข All signals wait for candle close before triggering
BEST PRACTICES:
โข Use on higher timeframes (15min+) for more reliable signals
โข Combine with other analysis (support/resistance, volume profile, etc.)
โข Wait for candle close confirmation before acting on signals
โข Use proper risk management - this is not a standalone trading system
โข Backtest on your preferred instrument and timeframe
PERFORMANCE:
โข Limited to 100 boxes, 100 lines, 100 labels for optimal performance
โข Older objects automatically removed as new ones appear
โข Works on all markets (Forex, Crypto, Stocks, Indices, Commodities)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ CONCEPTS EXPLAINED
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
MARKET STRUCTURE:
Market structure refers to the pattern of price movements creating swing highs
and lows. Understanding structure helps identify trend direction and potential
reversal points.
SMART MONEY CONCEPTS:
These are trading techniques based on tracking institutional order flow and
understanding where large players (banks, funds, institutions) enter and exit
positions.
ORDER BLOCKS:
The last opposing candle before a strong directional move. Institutions often
leave unfilled orders in these zones, which can act as support/resistance when
price returns.
FAIR VALUE GAPS:
Areas where price moved so quickly that it left an imbalance. These gaps often
get "filled" as price returns to find equilibrium, creating trading opportunities.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ EDUCATIONAL VALUE
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
This indicator helps traders:
โ Understand market structure mechanics
โ Identify institutional trading patterns
โ Improve trade timing and entry precision
โ Recognize trend continuation vs reversal
โ Learn smart money concepts through visualization
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ TECHNICAL DETAILS
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โข Version: 1.0.0
โข Pine Script Version: 5
โข Indicator Type: Overlay
โข No Repainting: Structure breaks use confirmed candles
โข Performance Optimized: Limited drawing objects
โข Works On: All markets and timeframes
โข Alerts: Yes, fully customizable
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ค AUTHOR
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Created by: Zakaria Safri
Original Work: All code and concepts are original implementations
Based On: ICT (Inner Circle Trader) educational concepts
License: ยฉ 2024 Zakaria Safri - Personal Use Only
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ๏ธ DISCLAIMER
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
This indicator is for educational and informational purposes only. It does not
constitute financial advice. Trading involves substantial risk of loss. Past
performance does not guarantee future results. Always conduct your own research
and consult with a licensed financial advisor before making trading decisions.
The author is not responsible for any losses incurred from using this indicator.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
If you find this indicator helpful, please:
๐ Like and favorite
โญ Leave a review
๐ข Share with other traders
๐ฌ Comment with feedback or suggestions
Happy Trading! ๐
SMC Structures and FVGเธชเธงเธฑเธชเธเธตเธเธฃเธฑเธ! เธเธกเธเธฐเธญเธเธดเธเธฒเธขเธญเธดเธเธเธดเนเธเนเธเธญเธฃเน "SMC Structures and FVG + MACD" เธเธตเนเธเธธเธเนเธซเนเธกเธฒเธญเธขเนเธฒเธเธฅเธฐเนเธญเธตเธขเธเนเธเนเธเนเธฅเธฐเธชเนเธงเธ เนเธเธทเนเธญเนเธซเนเธเธธเธเนเธเนเธฒเนเธเธเธฒเธฃเธเธณเธเธฒเธเธเธญเธเธกเธฑเธเธญเธขเนเธฒเธเธเนเธญเธเนเธเนเธเธฃเธฑเธ
เธญเธดเธเธเธดเนเธเนเธเธญเธฃเนเธเธตเนเนเธเนเธเธเธฒเธฃเธเธชเธกเธเธชเธฒเธเนเธเธงเธเธดเธเธเธญเธ Smart Money Concept (SMC) เธเธถเนเธเนเธเนเธเธเธฒเธฃเธงเธดเนเธเธฃเธฒเธฐเธซเนเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฅเธฒเธ (Market Structure) เนเธฅเธฐ Fair Value Gap (FVG) เนเธเนเธฒเธเธฑเธเธญเธดเธเธเธดเนเธเนเธเธญเธฃเน MACD เนเธเธทเนเธญเนเธเนเนเธเนเธเธเธฑเธงเธเธฃเธญเธเธซเธฃเธทเธญเธเธฑเธงเธขเธทเธเธขเธฑเธเธชเธฑเธเธเธฒเธ Choch/BoS (Change of Character / Break of Structure)
1. เธ เธฒเธเธฃเธงเธกเธญเธดเธเธเธดเนเธเนเธเธญเธฃเน (Overall Purpose)
เธญเธดเธเธเธดเนเธเนเธเธญเธฃเนเธเธตเนเธกเธตเธเธธเธเธเธฃเธฐเธชเธเธเนเธซเธฅเธฑเธเธเธทเธญ:
เธฃเธฐเธเธธเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฅเธฒเธ: เธเธตเนเธชเนเธเนเธฅเธฐเธเนเธฒเธขเธเธณเธเธฑเธ Choch (Change of Character) เนเธฅเธฐ BoS (Break of Structure) เธเธเธเธฃเธฒเธเนเธเธขเธญเธฑเธเนเธเธกเธฑเธเธด
เธเธชเธฒเธเธเธฒเธฃเธขเธทเธเธขเธฑเธเธเนเธงเธข MACD: เธชเธฑเธเธเธฒเธ Choch/BoS เธเธฐเธเธนเธเธเธดเธเธฒเธฃเธเธฒเธเนเธเนเธญเนเธกเธทเนเธญ MACD Histogram เนเธเธดเธเธเธฒเธฃเธเธฑเธเธเธถเนเธเธซเธฃเธทเธญเธฅเธ (Zero Cross) เนเธเธเธดเธจเธเธฒเธเธเธตเนเธชเธญเธเธเธฅเนเธญเธเธเธฑเธ
เนเธชเธเธ Fair Value Gap (FVG): เธซเธฒเธเนเธเธดเธเนเธเนเธเธฒเธ เธเธฐเธกเธตเธเธฒเธฃเธเธตเธเธฅเนเธญเธ FVG เธเธเธเธฃเธฒเธ
เนเธชเธเธเธฃเธฐเธเธฑเธ Fibonacci: เธเธณเธเธงเธเนเธฅเธฐเนเธชเธเธเธฃเธฐเธเธฑเธ Fibonacci เธเธตเนเธชเธณเธเธฑเธเธเธฒเธกเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฅเธฒเธเธเธฑเธเธเธธเธเธฑเธ
เธเธฃเธฑเธเธเธฒเธก Timeframe: เธเธฒเธฃเธเธณเธเธงเธเนเธฅเธฐเธเธฒเธฃเนเธชเธเธเธเธฅเธเธฑเนเธเธซเธกเธเธเธฐเธเธฃเธฑเธเธเธฒเธก Timeframe เธเธตเนเธเธธเธเธเธณเธฅเธฑเธเนเธเนเธเธฒเธเธญเธขเธนเนเนเธเธขเธญเธฑเธเนเธเธกเธฑเธเธด
2. เธชเนเธงเธเธเธฃเธฐเธเธญเธเธซเธฅเธฑเธเธเธญเธเนเธเนเธ (Code Breakdown)
เนเธเนเธเธเธตเนเธชเธฒเธกเธฒเธฃเธเนเธเนเธเธญเธญเธเนเธเนเธเธชเนเธงเธเธซเธฅเธฑเธ เน เนเธเนเธเธฑเธเธเธตเน:
2.1 Inputs (เธเธฒเธฃเธเธฑเนเธเธเนเธฒ)
เธชเนเธงเธเธเธตเนเธเธทเธญเธเธฑเธงเนเธเธฃเธเธตเนเธเธธเธเธชเธฒเธกเธฒเธฃเธเธเธฃเธฑเธเนเธเนเธเนเธเนเนเธเธซเธเนเธฒเธเนเธฒเธเธเธฒเธฃเธเธฑเนเธเธเนเธฒเธเธญเธเธญเธดเธเธเธดเนเธเนเธเธญเธฃเน (เธเธฅเธดเธเธเธตเนเธฃเธนเธเธเธฑเธเนเธเธทเธญเธเธเนเธฒเธเธเธทเนเธญเธญเธดเธเธเธดเนเธเนเธเธญเธฃเนเธเธเธเธฃเธฒเธ)
MACD Settings (เธเธฑเนเธเธเนเธฒ MACD):
fast_len: เธเธงเธฒเธกเธขเธฒเธงเธเธญเธ Fast EMA เธชเธณเธซเธฃเธฑเธ MACD (เธเนเธฒเนเธฃเธดเนเธกเธเนเธ 12)
slow_len: เธเธงเธฒเธกเธขเธฒเธงเธเธญเธ Slow EMA เธชเธณเธซเธฃเธฑเธ MACD (เธเนเธฒเนเธฃเธดเนเธกเธเนเธ 26)
signal_len: เธเธงเธฒเธกเธขเธฒเธงเธเธญเธ Signal Line เธชเธณเธซเธฃเธฑเธ MACD (เธเนเธฒเนเธฃเธดเนเธกเธเนเธ 9)
= ta.macd(close, fast_len, slow_len, signal_len): เธเธณเธเธงเธเธเนเธฒ MACD Line, Signal Line เนเธฅเธฐ Histogram เนเธเธขเนเธเนเธฃเธฒเธเธฒเธเธดเธ (close) เนเธฅเธฐเธเนเธฒเธเธงเธฒเธกเธขเธฒเธงเธเธตเนเธเธณเธซเธเธ
is_bullish_macd_cross: เธเธฃเธงเธเธชเธญเธเธงเนเธฒ MACD Histogram เธเธฑเธเธเธถเนเธเนเธซเธเธทเธญเนเธชเนเธ 0 (เธเธฒเธเธเนเธฒเธฅเธเนเธเนเธเธเธงเธ)
is_bearish_macd_cross: เธเธฃเธงเธเธชเธญเธเธงเนเธฒ MACD Histogram เธเธฑเธเธฅเธเนเธเนเนเธชเนเธ 0 (เธเธฒเธเธเนเธฒเธเธงเธเนเธเนเธเธฅเธ)
Fear Value Gap (FVG) Settings:
isFvgToShow: (Boolean) เนเธเธดเธ/เธเธดเธเธเธฒเธฃเนเธชเธเธ FVG เธเธเธเธฃเธฒเธ
bullishFvgColor: เธชเธตเธชเธณเธซเธฃเธฑเธ Bullish FVG
bearishFvgColor: เธชเธตเธชเธณเธซเธฃเธฑเธ Bearish FVG
mitigatedFvgColor: เธชเธตเธชเธณเธซเธฃเธฑเธ FVG เธเธตเนเธเธนเธ Mitigate (เธฅเธเธเธญเธ) เนเธฅเนเธง
fvgHistoryNbr: เธเธณเธเธงเธ FVG เธขเนเธญเธเธซเธฅเธฑเธเธเธตเนเธเธฐเนเธชเธเธ
isMitigatedFvgToReduce: (Boolean) เนเธเธดเธ/เธเธดเธเธเธฒเธฃเธฅเธเธเธเธฒเธ FVG เนเธกเธทเนเธญเธเธนเธ Mitigate
Structures (เนเธเธฃเธเธชเธฃเนเธฒเธเธเธฅเธฒเธ) Settings:
isStructBodyCandleBreak: (Boolean) เธซเธฒเธเนเธเนเธ true เธเธฒเธฃ Break เธเธฐเธเนเธญเธเนเธเธดเธเธเธถเนเธเธเนเธงเธข เนเธเธทเนเธญเนเธเธตเธขเธ เธเธตเนเธเธดเธเนเธซเธเธทเธญ/เนเธเน Swing High/Low เธซเธฒเธเนเธเนเธ false เนเธเนเนเธชเนเนเธเธตเธขเธเธเธฐเธฅเธธเธเนเธเธทเธญเธงเนเธฒ Break
isCurrentStructToShow: (Boolean) เนเธเธดเธ/เธเธดเธเธเธฒเธฃเนเธชเธเธเนเธชเนเธเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฅเธฒเธเธเธฑเธเธเธธเธเธฑเธ (เนเธชเนเธเธชเธตเธเนเธณเนเธเธดเธเนเธเธ เธฒเธเธเธฑเธงเธญเธขเนเธฒเธ)
pivot_len: เธเธงเธฒเธกเธขเธฒเธงเธเธญเธเนเธเนเธเนเธเธตเธขเธเธเธตเนเนเธเนเนเธเธเธฒเธฃเธกเธญเธเธซเธฒเธเธธเธ Pivot (Swing High/Low) เธขเธดเนเธเธเนเธฒเธเนเธญเธขเธขเธดเนเธเธเธฑเธ Swing เนเธฅเนเธเน เนเธเน, เธขเธดเนเธเธเนเธฒเธกเธฒเธเธขเธดเนเธเธเธฑเธ Swing เนเธซเธเนเน เนเธเน
bullishBosColor, bearishBosColor: เธชเธตเธชเธณเธซเธฃเธฑเธเนเธชเนเธเนเธฅเธฐเธเนเธฒเธข BOS เธเธฒเธเธถเนเธ/เธเธฒเธฅเธ
bosLineStyleOption, bosLineWidth: เธชเนเธเธฅเน (Solid, Dotted, Dashed) เนเธฅเธฐเธเธงเธฒเธกเธซเธเธฒเธเธญเธเนเธชเนเธ BOS
bullishChochColor, bearishChochColor: เธชเธตเธชเธณเธซเธฃเธฑเธเนเธชเนเธเนเธฅเธฐเธเนเธฒเธข CHoCH เธเธฒเธเธถเนเธ/เธเธฒเธฅเธ
chochLineStyleOption, chochLineWidth: เธชเนเธเธฅเน (Solid, Dotted, Dashed) เนเธฅเธฐเธเธงเธฒเธกเธซเธเธฒเธเธญเธเนเธชเนเธ CHoCH
currentStructColor, currentStructLineStyleOption, currentStructLineWidth: เธชเธต, เธชเนเธเธฅเน เนเธฅเธฐเธเธงเธฒเธกเธซเธเธฒเธเธญเธเนเธชเนเธเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฅเธฒเธเธเธฑเธเธเธธเธเธฑเธ
structHistoryNbr: เธเธณเธเธงเธเธเธฒเธฃ Break (Choch/BoS) เธขเนเธญเธเธซเธฅเธฑเธเธเธตเนเธเธฐเนเธชเธเธ
Structure Fibonacci (เธเธฒเธเนเธเนเธเธเนเธเธเธเธฑเธ):
เนเธเนเธเธเธธเธ Input เธชเธณเธซเธฃเธฑเธเนเธเธดเธ/เธเธดเธ, เธเธณเธซเธเธเธเนเธฒ, เธชเธต, เธชเนเธเธฅเน เนเธฅเธฐเธเธงเธฒเธกเธซเธเธฒเธเธญเธเนเธชเนเธ Fibonacci Levels เธเนเธฒเธเน (0.786, 0.705, 0.618, 0.5, 0.382) เธเธตเนเธเธฐเธเธนเธเธเธณเธเธงเธเธเธฒเธเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฅเธฒเธเธเธฑเธเธเธธเธเธฑเธ
2.2 Helper Functions (เธเธฑเธเธเนเธเธฑเธเธเนเธงเธขเธเธณเธเธฒเธ)
getLineStyle(lineOption): เธเธฑเธเธเนเธเธฑเธเธเธตเนเนเธเนเนเธเธฅเธเธเนเธฒ String เธเธตเนเนเธฅเธทเธญเธเธเธฒเธ Input (เนเธเนเธ "โ", "โ", "โ") เนเธซเนเนเธเนเธเธฃเธนเธเนเธเธ line.style_ เธเธตเน Pine Script เนเธเนเธฒเนเธ
get_structure_highest_bar(lookback): เธเธฑเธเธเนเธเธฑเธเธเธตเนเธเธขเธฒเธขเธฒเธกเธซเธฒ Bar Index เธเธญเธเนเธเนเธเนเธเธตเธขเธเธเธตเนเธเธณ Swing High เธ เธฒเธขเนเธเธเนเธงเธ lookback เธเธตเนเธเธณเธซเธเธ
get_structure_lowest_bar(lookback): เธเธฑเธเธเนเธเธฑเธเธเธตเนเธเธขเธฒเธขเธฒเธกเธซเธฒ Bar Index เธเธญเธเนเธเนเธเนเธเธตเธขเธเธเธตเนเธเธณ Swing Low เธ เธฒเธขเนเธเธเนเธงเธ lookback เธเธตเนเธเธณเธซเธเธ
is_structure_high_broken(...): เธเธฑเธเธเนเธเธฑเธเธเธตเนเธเธฃเธงเธเธชเธญเธเธงเนเธฒเธฃเธฒเธเธฒเธเธฑเธเธเธธเธเธฑเธเนเธเน Break เนเธซเธเธทเธญ _structureHigh (Swing High) เธซเธฃเธทเธญเนเธกเน เนเธเธขเธเธดเธเธฒเธฃเธเธฒเธเธฒเธ _highStructBreakPrice (เธฃเธฒเธเธฒเธเธดเธเธซเธฃเธทเธญเธฃเธฒเธเธฒ High เธเธถเนเธเธญเธขเธนเนเธเธฑเธเธเธฒเธฃเธเธฑเนเธเธเนเธฒ isStructBodyCandleBreak)
FVGDraw(...): เธเธฑเธเธเนเธเธฑเธเธเธตเนเธฃเธฑเธ Arrays เธเธญเธ FVG Boxes, Types, Mitigation Status เนเธฅเธฐ Labels เธกเธฒเธเธฃเธฐเธกเธงเธฅเธเธฅ เนเธเธทเนเธญเธญเธฑเธเนเธเธเธชเธเธฒเธเธฐเธเธญเธ FVG (เนเธเนเธ เธเธนเธ Mitigate เธซเธฃเธทเธญเนเธกเน) เนเธฅเธฐเธเธฃเธฑเธเธเธเธฒเธ/เธเธณเนเธซเธเนเธเธเธญเธ FVG Box เนเธฅเธฐ Label เธเธเธเธฃเธฒเธ
2.3 Global Variables (เธเธฑเธงเนเธเธฃเธเธฑเนเธงเธเธฑเนเธเธญเธดเธเธเธดเนเธเนเธเธญเธฃเน)
เนเธเนเธเธเธฑเธงเนเธเธฃเธเธตเนเธเธฃเธฐเธเธฒเธจเธเนเธงเธข var เธเธถเนเธเธซเธกเธฒเธขเธเธงเธฒเธกเธงเนเธฒเธเนเธฒเธเธญเธเธกเธฑเธเธเธฐเธเธนเธเนเธเนเธเนเธงเนเนเธฅเธฐเธญเธฑเธเนเธเธเนเธเนเธเนเธฅเธฐเนเธเนเธเนเธเธตเธขเธ (persists across bars)
structureLines, structureLabels: Arrays เธชเธณเธซเธฃเธฑเธเนเธเนเธเธญเนเธญเธเนเธเธเธเน line เนเธฅเธฐ label เธเธญเธเนเธชเนเธ Choch/BoS เธเธตเนเธงเธฒเธเธเธเธเธฃเธฒเธ
fvgBoxes, fvgTypes, fvgLabels, isFvgMitigated: Arrays เธชเธณเธซเธฃเธฑเธเนเธเนเธเธเนเธญเธกเธนเธฅเธเธญเธ FVG Boxes เนเธฅเธฐเธชเธเธฒเธเธฐเธเนเธฒเธเน
structureHigh, structureLow: เนเธเนเธเธฃเธฒเธเธฒเธเธญเธ Swing High/Low เธเธตเนเธชเธณเธเธฑเธเธเธญเธเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฅเธฒเธเธเธฑเธเธเธธเธเธฑเธ
structureHighStartIndex, structureLowStartIndex: เนเธเนเธ Bar Index เธเธญเธเธเธธเธเนเธฃเธดเนเธกเธเนเธเธเธญเธ Swing High/Low เธเธตเนเธชเธณเธเธฑเธ
structureDirection: เนเธเนเธเธชเธเธฒเธเธฐเธเธญเธเธเธดเธจเธเธฒเธเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฅเธฒเธ (1 = Bullish, 2 = Bearish, 0 = Undefined)
fiboXPrice, fiboXStartIndex, fiboXLine, fiboXLabel: เธเธฑเธงเนเธเธฃเธชเธณเธซเธฃเธฑเธเนเธเนเธเธเนเธญเธกเธนเธฅเนเธฅเธฐเธญเนเธญเธเนเธเธเธเนเธเธญเธเนเธชเนเธ Fibonacci Levels
isBOSAlert, isCHOCHAlert: (Boolean) เนเธเนเธชเธณเธซเธฃเธฑเธเธชเนเธเธชเธฑเธเธเธฒเธ Alert (เธซเธฒเธเธกเธตเธเธฒเธฃเธเธฑเนเธเธเนเธฒ Alert เนเธงเน)
2.4 FVG Processing (เธเธฒเธฃเธเธฃเธฐเธกเธงเธฅเธเธฅ FVG)
เธชเนเธงเธเธเธตเนเธเธฐเธเธฃเธงเธเธชเธญเธเนเธเธทเนเธญเธเนเธเธเธฒเธฃเนเธเธดเธ FVG (Bullish FVG: high < low , Bearish FVG: low > high )
เธซเธฒเธเนเธเธดเธ FVG เนเธฅเธฐ isFvgToShow เนเธเนเธ true เธเธฐเธกเธตเธเธฒเธฃเธชเธฃเนเธฒเธ box เนเธฅเธฐ label เนเธซเธกเนเนเธเธทเนเธญเนเธชเธเธ FVG เธเธเธเธฃเธฒเธ
เธกเธตเธเธฒเธฃเธเธฑเธเธเธฒเธฃ fvgBoxes เนเธฅเธฐ fvgLabels เนเธเธทเนเธญเธเธณเธเธฑเธเธเธณเธเธงเธ FVG เธเธตเนเนเธชเธเธเธเธฒเธก fvgHistoryNbr เนเธฅเธฐเธฅเธ FVG เนเธเนเธฒเธญเธญเธ
เธเธฑเธเธเนเธเธฑเธ FVGDraw เธเธฐเธเธนเธเนเธฃเธตเธขเธเนเธเธทเนเธญเธญเธฑเธเนเธเธเธชเธเธฒเธเธฐเธเธญเธ FVG (เนเธเนเธ เธเธฒเธฃเธเธนเธ Mitigate) เนเธฅเธฐเธเธฃเธฑเธเธเธฒเธฃเนเธชเธเธเธเธฅ
2.5 Structures Processing (เธเธฒเธฃเธเธฃเธฐเธกเธงเธฅเธเธฅเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฅเธฒเธ)
Initialization: เธเธตเน bar_index == 0 (เนเธเนเธเนเธเธตเธขเธเนเธฃเธเธเธญเธเธเธฃเธฒเธ) เธเธฐเธกเธตเธเธฒเธฃเธเธณเธซเธเธเธเนเธฒเนเธฃเธดเนเธกเธเนเธเนเธซเนเธเธฑเธ structureHigh, structureLow, structureHighStartIndex, structureLowStartIndex
Finding Current High/Low: highest, highestBar, lowest, lowestBar เธเธนเธเนเธเนเนเธเธทเนเธญเธซเธฒ High/Low เธเธตเนเธชเธธเธเนเธฅเธฐ Bar Index เธเธญเธเธกเธฑเธเนเธ 10 เนเธเนเธเธฅเนเธฒเธชเธธเธ (เธซเธฃเธทเธญเธเธฑเนเธเธซเธกเธเธซเธฒเธเธเธฃเธฒเธเธชเธฑเนเธเธเธงเนเธฒ 10 เนเธเนเธ)
Calculating Structure Max/Min Bar: structureMaxBar เนเธฅเธฐ structureMinBar เนเธเนเธเธฑเธเธเนเธเธฑเธ get_structure_highest_bar เนเธฅเธฐ get_structure_lowest_bar เนเธเธทเนเธญเธซเธฒ Bar Index เธเธญเธ Swing High/Low เธเธตเนเนเธเนเธเธฃเธดเธ (เนเธกเนเนเธเนเนเธเน High/Low เธเธตเนเธชเธธเธเนเธ lookback เนเธเนเนเธเนเธเธเธธเธ Pivot เธเธตเนเธชเธกเธเธนเธฃเธเน)
Break Price: lowStructBreakPrice เนเธฅเธฐ highStructBreakPrice เธเธฐเนเธเนเธเธฃเธฒเธเธฒเธเธดเธ (close) เธซเธฃเธทเธญเธฃเธฒเธเธฒ Low/High เธเธถเนเธเธญเธขเธนเนเธเธฑเธ isStructBodyCandleBreak
isStuctureLowBroken / isStructureHighBroken: เนเธเธทเนเธญเธเนเธเนเธซเธฅเนเธฒเธเธตเนเธเธฃเธงเธเธชเธญเธเธงเนเธฒเธฃเธฒเธเธฒเนเธเนเธเธณเธฅเธฒเธข structureLow เธซเธฃเธทเธญ structureHigh เธซเธฃเธทเธญเนเธกเน เนเธเธขเธเธดเธเธฒเธฃเธเธฒเธเธฒเธเธฃเธฒเธเธฒ Break, เธฃเธฒเธเธฒเนเธเนเธเธเนเธญเธเธซเธเนเธฒ เนเธฅเธฐ Bar Index เธเธญเธเธเธธเธเนเธฃเธดเนเธกเธเนเธเนเธเธฃเธเธชเธฃเนเธฒเธ
Choch/BoS Logic (เธชเนเธงเธเธชเธณเธเธฑเธเธเธตเนเธเธนเธเธเธชเธฒเธเธเธฑเธ MACD):
if(isStuctureLowBroken and is_bearish_macd_cross): เธเธตเนเธเธทเธญเธเธธเธเธเธตเน MACD เนเธเนเธฒเธกเธฒเธกเธตเธเธเธเธฒเธ เธซเธฒเธเธฃเธฒเธเธฒเธเธณเธฅเธฒเธข structureLow (เธชเธฑเธเธเธฒเธเธเธฒเธฅเธ) เนเธฅเธฐ MACD Histogram เนเธเธดเธ Bearish Zero Cross (is_bearish_macd_cross เนเธเนเธ true) เธญเธดเธเธเธดเนเธเนเธเธญเธฃเนเธเธฐเธเธดเธเธฒเธฃเธเธฒเธงเนเธฒเนเธเนเธ Choch เธซเธฃเธทเธญ BoS
เธซเธฒเธ structureDirection == 1 (เนเธเธดเธกเนเธเนเธเธเธฒเธเธถเนเธ) เธซเธฃเธทเธญ 0 (เธขเธฑเธเนเธกเนเธเธณเธซเธเธ) เธเธฐเธเธตเนเธเนเธ "CHoCH" (เนเธเธฅเธตเนเธขเธเธเธดเธจเธเธฒเธเนเธเธฃเธเธชเธฃเนเธฒเธเนเธเนเธเธเธฒเธฅเธ)
เธซเธฒเธ structureDirection == 2 (เนเธเธดเธกเนเธเนเธเธเธฒเธฅเธ) เธเธฐเธเธตเนเธเนเธ "BOS" (เธขเธทเธเธขเธฑเธเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฒเธฅเธ)
เธกเธตเธเธฒเธฃเธชเธฃเนเธฒเธ line.new เนเธฅเธฐ label.new เนเธเธทเนเธญเธงเธฒเธเนเธชเนเธเนเธฅเธฐเธเนเธฒเธขเธเธณเธเธฑเธ
structureDirection เธเธฐเธเธนเธเธญเธฑเธเนเธเธเนเธเนเธ 1 (Bullish)
structureHighStartIndex, structureLowStartIndex, structureHigh, structureLow เธเธฐเธเธนเธเธญเธฑเธเนเธเธเนเธเธทเนเธญเธเธณเธซเธเธเนเธเธฃเธเธชเธฃเนเธฒเธเนเธซเธกเน
else if(isStructureHighBroken and is_bullish_macd_cross): เนเธเนเธเธเธฑเธเธชเธณเธซเธฃเธฑเธเธเธฒเธเธถเนเธ เธซเธฒเธเธฃเธฒเธเธฒเธเธณเธฅเธฒเธข structureHigh (เธชเธฑเธเธเธฒเธเธเธฒเธเธถเนเธ) เนเธฅเธฐ MACD Histogram เนเธเธดเธ Bullish Zero Cross (is_bullish_macd_cross เนเธเนเธ true) เธญเธดเธเธเธดเนเธเนเธเธญเธฃเนเธเธฐเธเธดเธเธฒเธฃเธเธฒเธงเนเธฒเนเธเนเธ Choch เธซเธฃเธทเธญ BoS
เธซเธฒเธ structureDirection == 2 (เนเธเธดเธกเนเธเนเธเธเธฒเธฅเธ) เธซเธฃเธทเธญ 0 (เธขเธฑเธเนเธกเนเธเธณเธซเธเธ) เธเธฐเธเธตเนเธเนเธ "CHoCH" (เนเธเธฅเธตเนเธขเธเธเธดเธจเธเธฒเธเนเธเธฃเธเธชเธฃเนเธฒเธเนเธเนเธเธเธฒเธเธถเนเธ)
เธซเธฒเธ structureDirection == 1 (เนเธเธดเธกเนเธเนเธเธเธฒเธเธถเนเธ) เธเธฐเธเธตเนเธเนเธ "BOS" (เธขเธทเธเธขเธฑเธเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฒเธเธถเนเธ)
เธกเธตเธเธฒเธฃเธชเธฃเนเธฒเธ line.new เนเธฅเธฐ label.new เนเธเธทเนเธญเธงเธฒเธเนเธชเนเธเนเธฅเธฐเธเนเธฒเธขเธเธณเธเธฑเธ
structureDirection เธเธฐเธเธนเธเธญเธฑเธเนเธเธเนเธเนเธ 2 (Bearish)
structureHighStartIndex, structureLowStartIndex, structureHigh, structureLow เธเธฐเธเธนเธเธญเธฑเธเนเธเธเนเธเธทเนเธญเธเธณเธซเธเธเนเธเธฃเธเธชเธฃเนเธฒเธเนเธซเธกเน
เธเธฒเธฃเธฅเธเนเธชเนเธเนเธเนเธฒ: d.delete_line (เธซเธฒเธเนเธฅเธเธฃเธฒเธฃเธตเธเธณเธเธฒเธ) เธเธฐเธเธนเธเนเธฃเธตเธขเธเนเธเธทเนเธญเธฅเธเนเธชเนเธเนเธฅเธฐเธเนเธฒเธขเธเธณเธเธฑเธเนเธเนเธฒเธญเธญเธเนเธกเธทเนเธญเธเธณเธเธงเธเนเธเธดเธ structHistoryNbr
Updating Structure High/Low (else block): เธซเธฒเธเนเธกเนเธกเธตเธเธฒเธฃ Break เนเธเธดเธเธเธถเนเธ เนเธเนเธฃเธฒเธเธฒเธเธฑเธเธเธธเธเธฑเธเธชเธนเธเธเธงเนเธฒ structureHigh เธซเธฃเธทเธญเธเนเธณเธเธงเนเธฒ structureLow เนเธเธเธดเธจเธเธฒเธเธเธตเนเธชเธญเธเธเธฅเนเธญเธเธเธฑเธ (เนเธเนเธ เธขเธฑเธเธเธเนเธเนเธเธเธฒเธเธถเนเธเนเธฅเธฐเธเธณ High เนเธซเธกเน) structureHigh เธซเธฃเธทเธญ structureLow เธเธฐเธเธนเธเธญเธฑเธเนเธเธเนเธเธทเนเธญเธเธดเธเธเธฒเธก High/Low เธเธตเนเธชเธธเธเธเธญเธเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฑเธเธเธธเธเธฑเธ
Current Structure Display:
เธซเธฒเธ isCurrentStructToShow เนเธเนเธ true เธญเธดเธเธเธดเนเธเนเธเธญเธฃเนเธเธฐเธงเธฒเธเนเธชเนเธ structureHighLine เนเธฅเธฐ structureLowLine เนเธเธทเนเธญเนเธชเธเธเธเธญเธเนเธเธเธเธญเธเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฅเธฒเธเธเธฑเธเธเธธเธเธฑเธ
Fibonacci Display:
เธซเธฒเธ isFiboXToShow เนเธเนเธ true เธญเธดเธเธเธดเนเธเนเธเธญเธฃเนเธเธฐเธเธณเธเธงเธเนเธฅเธฐเธงเธฒเธเนเธชเนเธ Fibonacci Levels เธเนเธฒเธเน (0.786, 0.705, 0.618, 0.5, 0.382) เนเธเธขเธญเธดเธเธเธฒเธ structureHigh เนเธฅเธฐ structureLow เธเธญเธเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฅเธฒเธเธเธฑเธเธเธธเธเธฑเธ
Alerts:
alertcondition: เนเธเนเธชเธณเธซเธฃเธฑเธเธเธฑเนเธเธเนเธฒ Alert เนเธ TradingView เนเธกเธทเนเธญเนเธเธดเธเธชเธฑเธเธเธฒเธ BOS เธซเธฃเธทเธญ CHOCH
plot(na):
plot(na) เนเธเนเธเธเธณเธชเธฑเนเธเธเธตเนเธชเธณเธเธฑเธเนเธเธญเธดเธเธเธดเนเธเนเธเธญเธฃเนเธเธตเนเนเธกเนเนเธเนเธเนเธญเธเธเธฒเธฃเธเธฅเนเธญเธ Series เธเธญเธเธเนเธญเธกเธนเธฅเธเธเธเธฃเธฒเธ (เนเธเนเธ เนเธกเนเนเธเนเธเธฅเนเธญเธเนเธชเนเธ EMA เธซเธฃเธทเธญ RSI) เนเธเนเนเธเนเธงเธฒเธเธญเนเธญเธเนเธเธเธเน (Line, Label, Box) เนเธเธขเธเธฃเธ
เธเธฒเธฃเธกเธต plot(na) เธเนเธงเธขเนเธซเน Pine Script เธฃเธนเนเธงเนเธฒเธญเธดเธเธเธดเนเธเนเธเธญเธฃเนเธเธตเนเธกเธตเนเธญเธฒเธเนเธเธธเธเธเธตเนเนเธชเธเธเธเธฅเธเธเธเธฃเธฒเธ เนเธกเนเธงเนเธฒเธเธฐเนเธกเนเนเธเนเนเธเนเธ Series เธเธตเนเธเธฅเนเธญเธเธเธฒเธกเธเธเธเธดเธเนเธเธฒเธก
3. เธงเธดเธเธตเนเธเนเธเธฒเธ
เธเธฑเธเธฅเธญเธเนเธเนเธเธเธฑเนเธเธซเธกเธ เธเธตเนเธญเธขเธนเนเนเธเธเธฅเนเธญเธ immersive เธเนเธฒเธเธเธ
เนเธเธเธตเน TradingView เนเธฅเธฐเนเธเธดเธเธเธฃเธฒเธเธเธตเนเธเธธเธเธเนเธญเธเธเธฒเธฃ
เธเธฅเธดเธเธเธตเนเนเธกเธเธน "Pine Editor" เธเธตเนเธญเธขเธนเนเธเนเธฒเธเธฅเนเธฒเธเธเธญเธเธซเธเนเธฒเธเธญ
เธฅเธเนเธเนเธเนเธเธดเธกเธเธตเนเธกเธตเธญเธขเธนเน เนเธฅเธฐ เธงเธฒเธเนเธเนเธเธเธตเนเธเธฑเธเธฅเธญเธเธกเธฒ เธฅเธเนเธเนเธเธ
เธเธฅเธดเธเธเธตเนเธเธธเนเธก "Add to Chart"
เธญเธดเธเธเธดเนเธเนเธเธญเธฃเนเธเธฐเธเธนเธเนเธเธดเนเธกเธฅเธเนเธเธเธฃเธฒเธเธเธญเธเธเธธเธเนเธเธขเธญเธฑเธเนเธเธกเธฑเธเธด เธเธธเธเธชเธฒเธกเธฒเธฃเธเธเธฅเธดเธเธเธตเนเธฃเธนเธเธเธฑเธเนเธเธทเธญเธเธเนเธฒเธเธเธทเนเธญเธญเธดเธเธเธดเนเธเนเธเธญเธฃเนเธเธเธเธฃเธฒเธเนเธเธทเนเธญเนเธเนเธฒเธเธถเธเธซเธเนเธฒเธเนเธฒเธเธเธฒเธฃเธเธฑเนเธเธเนเธฒเนเธฅเธฐเธเธฃเธฑเธเนเธเนเธเธเธฒเธกเธเธงเธฒเธกเธเนเธญเธเธเธฒเธฃเธเธญเธเธเธธเธเนเธเน
Hello! I will explain the "SMC Structures and FVG + MACD" indicator you provided in detail, section by section, so you can fully understand how it works.This indicator combines the concepts of Smart Money Concept (SMC), which focuses on analyzing Market Structure and Fair Value Gaps (FVG), with the MACD indicator to serve as a filter or confirmation for Choch (Change of Character) and BoS (Break of Structure) signals.1. Overall PurposeThe main purposes of this indicator are:Identify Market Structure: Automatically draw lines and label Choch (Change of Character) and BoS (Break of Structure) on the chart.Integrate MACD Confirmation: Choch/BoS signals will only be considered when the MACD Histogram performs a cross (Zero Cross) in the corresponding direction.Display Fair Value Gap (FVG): If enabled, FVG boxes will be drawn on the chart.Display Fibonacci Levels: Calculate and display important Fibonacci levels based on the current market structure.Adapt to Timeframe: All calculations and displays will automatically adjust to the timeframe you are currently using.2. Code BreakdownThis code can be divided into the following main sections:2.1 Inputs (Settings)This section contains variables that you can adjust in the indicator's settings window (click the gear icon next to the indicator's name on the chart).MACD Settings:fast_len: Length of the Fast EMA for MACD (default 12)slow_len: Length of the Slow EMA for MACD (default 26)signal_len: Length of the Signal Line for MACD (default 9) = ta.macd(close, fast_len, slow_len, signal_len): Calculates the MACD Line, Signal Line, and Histogram using the closing price (close) and the specified lengths.is_bullish_macd_cross: Checks if the MACD Histogram crosses above the 0 line (from negative to positive).is_bearish_macd_cross: Checks if the MACD Histogram crosses below the 0 line (from positive to negative).Fear Value Gap (FVG) Settings:isFvgToShow: (Boolean) Enables/disables the display of FVG on the chart.bullishFvgColor: Color for Bullish FVG.bearishFvgColor: Color for Bearish FVG.mitigatedFvgColor: Color for FVG that has been mitigated.fvgHistoryNbr: Number of historical FVG to display.isMitigatedFvgToReduce: (Boolean) Enables/disables reducing the size of FVG when mitigated.Structures (เนเธเธฃเธเธชเธฃเนเธฒเธเธเธฅเธฒเธ) Settings:isStructBodyCandleBreak: (Boolean) If true, the break must occur with the candle body closing above/below the Swing High/Low. If false, a wick break is sufficient.isCurrentStructToShow: (Boolean) Enables/disables the display of the current market structure lines (blue lines in the example image).pivot_len: Lookback length for identifying Pivot points (Swing High/Low). A smaller value captures smaller, more frequent swings; a larger value captures larger, more significant swings.bullishBosColor, bearishBosColor: Colors for bullish/bearish BOS lines and labels.bosLineStyleOption, bosLineWidth: Style (Solid, Dotted, Dashed) and width of BOS lines.bullishChochColor, bearishChochColor: Colors for bullish/bearish CHoCH lines and labels.chochLineStyleOption, chochLineWidth: Style (Solid, Dotted, Dashed) and width of CHoCH lines.currentStructColor, currentStructLineStyleOption, currentStructLineWidth: Color, style, and width of the current market structure lines.structHistoryNbr: Number of historical breaks (Choch/BoS) to display.Structure Fibonacci (from original code):A set of inputs to enable/disable, define values, colors, styles, and widths for various Fibonacci Levels (0.786, 0.705, 0.618, 0.5, 0.382) that will be calculated from the current market structure.2.2 Helper FunctionsgetLineStyle(lineOption): This function converts the selected string input (e.g., "โ", "โ", "โ") into a line.style_ format understood by Pine Script.get_structure_highest_bar(lookback): This function attempts to find the Bar Index of the Swing High within the specified lookback period.get_structure_lowest_bar(lookback): This function attempts to find the Bar Index of the Swing Low within the specified lookback period.is_structure_high_broken(...): This function checks if the current price has broken above _structureHigh (Swing High), considering _highStructBreakPrice (closing price or high price depending on isStructBodyCandleBreak setting).FVGDraw(...): This function takes arrays of FVG Boxes, Types, Mitigation Status, and Labels to process and update the status of FVG (e.g., whether it's mitigated) and adjust the size/position of FVG Boxes and Labels on the chart.2.3 Global VariablesThese are variables declared with var, meaning their values are stored and updated on each bar (persists across bars).structureLines, structureLabels: Arrays to store line and label objects for Choch/BoS lines drawn on the chart.fvgBoxes, fvgTypes, fvgLabels, isFvgMitigated: Arrays to store FVG box data and their respective statuses.structureHigh, structureLow: Stores the price of the significant Swing High/Low of the current market structure.structureHighStartIndex, structureLowStartIndex: Stores the Bar Index of the start point of the significant Swing High/Low.structureDirection: Stores the status of the market structure direction (1 = Bullish, 2 = Bearish, 0 = Undefined).fiboXPrice, fiboXStartIndex, fiboXLine, fiboXLabel: Variables to store data and objects for Fibonacci Levels.isBOSAlert, isCHOCHAlert: (Boolean) Used to trigger alerts in TradingView (if alerts are configured).2.4 FVG ProcessingThis section checks the conditions for FVG formation (Bullish FVG: high < low , Bearish FVG: low > high ).If FVG occurs and isFvgToShow is true, a new box and label are created to display the FVG on the chart.fvgBoxes and fvgLabels are managed to limit the number of FVG displayed according to fvgHistoryNbr and remove older FVG.The FVGDraw function is called to update the FVG status (e.g., whether it's mitigated) and adjust its display.2.5 Structures ProcessingInitialization: At bar_index == 0 (the first bar of the chart), structureHigh, structureLow, structureHighStartIndex, and structureLowStartIndex are initialized.Finding Current High/Low: highest, highestBar, lowest, lowestBar are used to find the highest/lowest price and its Bar Index of it in the last 10 bars (or all bars if the chart is shorter than 10 bars).Calculating Structure Max/Min Bar: structureMaxBar and structureMinBar use get_structure_highest_bar and get_structure_lowest_bar functions to find the Bar Index of the true Swing High/Low (not just the highest/lowest in the lookback but a complete Pivot point).Break Price: lowStructBreakPrice and highStructBreakPrice will be the closing price (close) or the Low/High price, depending on the isStructBodyCandleBreak setting.isStuctureLowBroken / isStructureHighBroken: These conditions check if the price has broken structureLow or structureHigh, considering the break price, previous bar prices, and the Bar Index of the structure's starting point.Choch/BoS Logic (Key Integration with MACD):if(isStuctureLowBroken and is_bearish_macd_cross): This is where MACD plays a role. If the price breaks structureLow (bearish signal) AND the MACD Histogram performs a Bearish Zero Cross (is_bearish_macd_cross is true), the indicator will consider it a Choch or BoS.If structureDirection == 1 (previously bullish) or 0 (undefined), it will be labeled "CHoCH" (changing structure direction to bearish).If structureDirection == 2 (already bearish), it will be labeled "BOS" (confirming bearish structure).line.new and label.new are used to draw the line and label.structureDirection will be updated to 1 (Bullish).structureHighStartIndex, structureLowStartIndex, structureHigh, structureLow will be updated to define the new structure.else if(isStructureHighBroken and is_bullish_macd_cross): Similarly for bullish breaks. If the price breaks structureHigh (bullish signal) AND the MACD Histogram performs a Bullish Zero Cross (is_bullish_macd_cross is true), the indicator will consider it a Choch or BoS.If structureDirection == 2 (previously bearish) or 0 (undefined), it will be labeled "CHoCH" (changing structure direction to bullish).If structureDirection == 1 (already bullish), it will be labeled "BOS" (confirming bullish structure).line.new and label.new are used to draw the line and label.structureDirection will be updated to 2 (Bearish).structureHighStartIndex, structureLowStartIndex, structureHigh, structureLow will be updated to define the new structure.Deleting Old Lines: d.delete_line (if the library works) will be called to delete old lines and labels when their number exceeds structHistoryNbr.Updating Structure High/Low (else block): If no break occurs, but the current price is higher than structureHigh or lower than structureLow in the corresponding direction (e.g., still bullish and making a new high), structureHigh or structureLow will be updated to track the highest/lowest point of the current structure.Current Structure Display:If isCurrentStructToShow is true, the indicator draws structureHighLine and structureLowLine to show the boundaries of the current market structure.Fibonacci Display:If isFiboXToShow is true, the indicator calculates and draws various Fibonacci Levels (0.786, 0.705, 0.618, 0.5, 0.382) based on the structureHigh and structureLow of the current market structure.Alerts:alertcondition: Used to set up alerts in TradingView when BOS or CHOCH signals occur.plot(na):plot(na) is an important statement in indicators that do not plot data series directly on the chart (e.g., not plotting EMA or RSI lines) but instead draw objects (Line, Label, Box).Having plot(na) helps Pine Script recognize that this indicator has an output displayed on the chart, even if it's not a regularly plotted series.3. How to UseCopy all the code in the immersive block above.Go to TradingView and open your desired chart.Click on the "Pine Editor" menu at the bottom of the screen.Delete any existing code and paste the copied code in its place.Click the "Add to Chart" button.The indicator will be added to your chart automatically. You can click the gear icon next to the indicator's name on the chart to access the settings window and customize it to your needs.I hope this explanation helps you understand this indicator in detail. If anything is unclear, or you need further adjustments, please let me know.
FvgCalculationsโโOVERVIEW
This library provides the core calculation engine for identifying Fair Value Gaps (FVGs) across different timeframes and for processing their interaction with price. It includes functions to detect FVGs on both the current chart and higher timeframes, as well as to check for their full or partial mitigation.
โโCONCEPTS
The library's primary functions revolve around the concept of Fair Value Gaps and their lifecycle.
Fair Value Gap (FVG) Identification
An FVG, or imbalance, represents a price range where buying or selling pressure was significant enough to cause a rapid price movement, leaving an "inefficiency" in the market. This library identifies FVGs based on three-bar patterns:
Bullish FVG: Forms when the low of the current bar (bar 3) is higher than the high of the bar two periods prior (bar 1). The FVG is the space between the high of bar 1 and the low of bar 3.
Bearish FVG: Forms when the high of the current bar (bar 3) is lower than the low of the bar two periods prior (bar 1). The FVG is the space between the low of bar 1 and the high of bar 3.
The library provides distinct functions for detecting FVGs on the current (Low Timeframe - LTF) and specified higher timeframes (Medium Timeframe - MTF / High Timeframe - HTF).
FVG Mitigation
Mitigation refers to price revisiting an FVG.
Full Mitigation: An FVG is considered fully mitigated when price completely closes the gap. For a bullish FVG, this occurs if the current low price moves below or touches the FVG's bottom. For a bearish FVG, it occurs if the current high price moves above or touches the FVG's top.
Partial Mitigation (Entry/Fill): An FVG is partially mitigated when price enters the FVG's range but does not fully close it. The library tracks the extent of this fill. For a bullish FVG, if the current low price enters the FVG from above, that low becomes the new effective top of the remaining FVG. For a bearish FVG, if the current high price enters the FVG from below, that high becomes the new effective bottom of the remaining FVG.
FVG Interaction
This refers to any instance where the current bar's price range (high to low) touches or crosses into the currently unfilled portion of an active (visible and not fully mitigated) FVG.
Multi-Timeframe Data Acquisition
To detect FVGs on higher timeframes, specific historical bar data (high, low, and time of bars at indices and relative to the higher timeframe's last completed bar) is required. The requestMultiTFBarData function is designed to fetch this data efficiently.
โโCALCULATIONS AND USE
The functions in this library are typically used in a sequence to manage FVGs:
1. Data Retrieval (for MTF/HTF FVGs):
Call requestMultiTFBarData() with the desired higher timeframe string (e.g., "60", "D").
This returns a tuple of htfHigh1, htfLow1, htfTime1, htfHigh3, htfLow3, htfTime3.
2. FVG Detection:
For LTF FVGs: Call detectFvg() on each confirmed bar. It uses high , low, low , and high along with barstate.isconfirmed.
For MTF/HTF FVGs: Call detectMultiTFFvg() using the data obtained from requestMultiTFBarData().
Both detection functions return an fvgObject (defined in FvgTypes) if an FVG is found, otherwise na. They also can classify FVGs as "Large Volume" (LV) if classifyLV is true and the FVG size (top - bottom) relative to the tfAtr (Average True Range of the respective timeframe) meets the lvAtrMultiplier.
3. FVG State Updates (on each new bar for existing FVGs):
First, check for overall price interaction using fvgInteractionCheck(). This function determines if the current bar's high/low has touched or entered the FVG's currentTop or currentBottom.
If interaction occurs and the FVG is not already mitigated:
Call checkMitigation() to determine if the FVG has been fully mitigated by the current bar's currentHigh and currentLow. If true, the FVG's isMitigated status is updated.
If not fully mitigated, call checkPartialMitigation() to see if the price has further entered the FVG. This function returns the newLevel to which the FVG has been filled (e.g., currentLow for a bullish FVG, currentHigh for bearish). This newLevel is then used to update the FVG's currentTop or currentBottom.
The calling script (e.g., fvgMain.c) is responsible for storing and managing the array of fvgObject instances and passing them to these update functions.
โโNOTES
Bar State for LTF Detection: The detectFvg() function relies on barstate.isconfirmed to ensure FVG detection is based on closed bars, preventing FVGs from being detected prematurely on the currently forming bar.
Higher Timeframe Data (lookahead): The requestMultiTFBarData() function uses lookahead = barmerge.lookahead_on. This means it can access historical data from the higher timeframe that corresponds to the current bar on the chart, even if the higher timeframe bar has not officially closed. This is standard for multi-timeframe analysis aiming to plot historical HTF data accurately on a lower timeframe chart.
Parameter Typing: Functions like detectMultiTFFvg and detectFvg infer the type for boolean (classifyLV) and numeric (lvAtrMultiplier) parameters passed from the main script, while explicitly typed series parameters (like htfHigh1, currentAtr) expect series data.
fvgObject Dependency: The FVG detection functions return fvgObject instances, and fvgInteractionCheck takes an fvgObject as a parameter. This UDT is defined in the FvgTypes library, making it a dependency for using FvgCalculations.
ATR for LV Classification: The tfAtr (for MTF/HTF) and currentAtr (for LTF) parameters are expected to be the Average True Range values for the respective timeframes. These are used, if classifyLV is enabled, to determine if an FVG's size qualifies it as a "Large Volume" FVG based on the lvAtrMultiplier.
MTF/HTF FVG Appearance Timing: When displaying FVGs from a higher timeframe (MTF/HTF) on a lower timeframe (LTF) chart, users might observe that the most recent MTF/HTF FVG appears one LTF bar later compared to its appearance on a native MTF/HTF chart. This is an expected behavior due to the detection mechanism in `detectMultiTFFvg`. This function uses historical bar data from the MTF/HTF (specifically, data equivalent to `HTF_bar ` and `HTF_bar `) to identify an FVG. Therefore, all three bars forming the FVG on the MTF/HTF must be fully closed and have shifted into these historical index positions relative to the `request.security` call from the LTF chart before the FVG can be detected and displayed on the LTF. This ensures that the MTF/HTF FVG is identified based on confirmed, closed bars from the higher timeframe.
โโEXPORTED FUNCTIONS
requestMultiTFBarData(timeframe)
โโRequests historical bar data for specific previous bars from a specified higher timeframe.
โโIt fetches H , L , T (for the bar before last) and H , L , T (for the bar three periods prior)
from the requested timeframe.
โโThis is typically used to identify FVG patterns on MTF/HTF.
โโParameters:
โโโโ timeframe (simple string) : The higher timeframe to request data from (e.g., "60" for 1-hour, "D" for Daily).
โโReturns: A tuple containing: .
โโ- htfHigh1 (series float): High of the bar at index 1 (one bar before the last completed bar on timeframe).
โโ- htfLow1 (series float): Low of the bar at index 1.
โโ- htfTime1 (series int) : Time of the bar at index 1.
โโ- htfHigh3 (series float): High of the bar at index 3 (three bars before the last completed bar on timeframe).
โโ- htfLow3 (series float): Low of the bar at index 3.
โโ- htfTime3 (series int) : Time of the bar at index 3.
detectMultiTFFvg(htfHigh1, htfLow1, htfTime1, htfHigh3, htfLow3, htfTime3, tfAtr, classifyLV, lvAtrMultiplier, tfType)
โโDetects a Fair Value Gap (FVG) on a higher timeframe (MTF/HTF) using pre-fetched bar data.
โโParameters:
โโโโ htfHigh1 (float) : High of the first relevant bar (typically high ) from the higher timeframe.
โโโโ htfLow1 (float) : Low of the first relevant bar (typically low ) from the higher timeframe.
โโโโ htfTime1 (int) : Time of the first relevant bar (typically time ) from the higher timeframe.
โโโโ htfHigh3 (float) : High of the third relevant bar (typically high ) from the higher timeframe.
โโโโ htfLow3 (float) : Low of the third relevant bar (typically low ) from the higher timeframe.
โโโโ htfTime3 (int) : Time of the third relevant bar (typically time ) from the higher timeframe.
โโโโ tfAtr (float) : ATR value for the higher timeframe, used for Large Volume (LV) FVG classification.
โโโโ classifyLV (bool) : If true, FVGs will be assessed to see if they qualify as Large Volume.
โโโโ lvAtrMultiplier (float) : The ATR multiplier used to define if an FVG is Large Volume.
โโโโ tfType (series tfType enum from no1x/FvgTypes/1) : The timeframe type (e.g., types.tfType.MTF, types.tfType.HTF) of the FVG being detected.
โโReturns: An fvgObject instance if an FVG is detected, otherwise na.
detectFvg(classifyLV, lvAtrMultiplier, currentAtr)
โโDetects a Fair Value Gap (FVG) on the current (LTF - Low Timeframe) chart.
โโParameters:
โโโโ classifyLV (bool) : If true, FVGs will be assessed to see if they qualify as Large Volume.
โโโโ lvAtrMultiplier (float) : The ATR multiplier used to define if an FVG is Large Volume.
โโโโ currentAtr (float) : ATR value for the current timeframe, used for LV FVG classification.
โโReturns: An fvgObject instance if an FVG is detected, otherwise na.
checkMitigation(isBullish, fvgTop, fvgBottom, currentHigh, currentLow)
โโChecks if an FVG has been fully mitigated by the current bar's price action.
โโParameters:
โโโโ isBullish (bool) : True if the FVG being checked is bullish, false if bearish.
โโโโ fvgTop (float) : The top price level of the FVG.
โโโโ fvgBottom (float) : The bottom price level of the FVG.
โโโโ currentHigh (float) : The high price of the current bar.
โโโโ currentLow (float) : The low price of the current bar.
โโReturns: True if the FVG is considered fully mitigated, false otherwise.
checkPartialMitigation(isBullish, currentBoxTop, currentBoxBottom, currentHigh, currentLow)
โโChecks for partial mitigation of an FVG by the current bar's price action.
โโIt determines if the price has entered the FVG and returns the new fill level.
โโParameters:
โโโโ isBullish (bool) : True if the FVG being checked is bullish, false if bearish.
โโโโ currentBoxTop (float) : The current top of the FVG box (this might have been adjusted by previous partial fills).
โโโโ currentBoxBottom (float) : The current bottom of the FVG box (similarly, might be adjusted).
โโโโ currentHigh (float) : The high price of the current bar.
โโโโ currentLow (float) : The low price of the current bar.
โโReturns: The new price level to which the FVG has been filled (e.g., currentLow for a bullish FVG).
โโReturns na if no new partial fill occurred on this bar.
fvgInteractionCheck(fvg, highVal, lowVal)
โโChecks if the current bar's price interacts with the given FVG.
โโInteraction means the price touches or crosses into the FVG's
current (possibly partially filled) range.
โโParameters:
โโโโ fvg (fvgObject type from no1x/FvgTypes/1) : The FVG object to check.
โโโโIts isMitigated, isVisible, isBullish, currentTop, and currentBottom fields are used.
โโโโ highVal (float) : The high price of the current bar.
โโโโ lowVal (float) : The low price of the current bar.
โโReturns: True if price interacts with the FVG, false otherwise.
Price Action Analyst [OmegaTools]Price Action Analyst (PAA) is an advanced trading tool designed to assist traders in identifying key price action structures such as order blocks, market structure shifts, liquidity grabs, and imbalances. With its fully customizable settings, the script offers both novice and experienced traders insights into potential market movements by visually highlighting premium/discount zones, breakout signals, and significant price levels.
This script utilizes complex logic to determine significant price action patterns and provides dynamic tools to spot strong market trends, liquidity pools, and imbalances across different timeframes. It also integrates an internal backtesting function to evaluate win rates based on price interactions with supply and demand zones.
The script combines multiple analysis techniques, including market structure shifts, order block detection, fair value gaps (FVG), and ICT bias detection, to provide a comprehensive and holistic market view.
Key Features:
Order Block Detection: Automatically detects order blocks based on price action and strength analysis, highlighting potential support/resistance zones.
Market Structure Analysis: Tracks internal and external market structure changes with gradient color-coded visuals.
Liquidity Grabs & Breakouts: Detects potential liquidity grab and breakout areas with volume confirmation.
Fair Value Gaps (FVG): Identifies bullish and bearish FVGs based on historical price action and threshold calculations.
ICT Bias: Integrates ICT bias analysis, dynamically adjusting based on higher-timeframe analysis.
Supply and Demand Zones: Highlights supply and demand zones using customizable colors and thresholds, adjusting dynamically based on market conditions.
Trend Lines: Automatically draws trend lines based on significant price pivots, extending them dynamically over time.
Backtesting: Internal backtesting engine to calculate the win rate of signals generated within supply and demand zones.
Percentile-Based Pricing: Plots key percentile price levels to visualize premium, fair, and discount pricing zones.
High Customizability: Offers extensive user input options for adjusting zone detection, color schemes, and structure analysis.
User Guide:
Order Blocks: Order blocks are significant support or resistance zones where strong buyers or sellers previously entered the market. These zones are detected based on pivot points and engulfing price action. The strength of each block is determined by momentum, volume, and liquidity confirmations.
Demand Zones: Displayed in shades of blue based on their strength. The darker the color, the stronger the zone.
Supply Zones: Displayed in shades of red based on their strength. These zones highlight potential resistance areas.
The zones will dynamically extend as long as they remain valid. Users can set a maximum number of order blocks to be displayed.
Market Structure: Market structure is classified into internal and external shifts. A bullish or bearish market structure break (MSB) occurs when the price moves past a previous high or low. This script tracks these breaks and plots them using a gradient color scheme:
Internal Structure: Short-term market structure, highlighting smaller movements.
External Structure: Long-term market shifts, typically more significant.
Users can choose how they want the structure to be visualized through the "Market Structure" setting, choosing from different visual methods.
Liquidity Grabs: The script identifies liquidity grabs (false breakouts designed to trap traders) by monitoring price action around highs and lows of previous bars. These are represented by diamond shapes:
Liquidity Buy: Displayed below bars when a liquidity grab occurs near a low.
Liquidity Sell: Displayed above bars when a liquidity grab occurs near a high.
Breakouts: Breakouts are detected based on strong price momentum beyond key levels:
Breakout Buy: Triggered when the price closes above the highest point of the past 20 bars with confirmation from volume and range expansion.
Breakout Sell: Triggered when the price closes below the lowest point of the past 20 bars, again with volume and range confirmation.
Fair Value Gaps (FVG): Fair value gaps (FVGs) are periods where the price moves too quickly, leaving an unbalanced market condition. The script identifies these gaps:
Bullish FVG: When there is a gap between the low of two previous bars and the high of a recent bar.
Bearish FVG: When a gap occurs between the high of two previous bars and the low of the recent bar.
FVGs are color-coded and can be filtered by their size to focus on more significant gaps.
ICT Bias: The script integrates the ICT methodology by offering an auto-calculated higher-timeframe bias:
Long Bias: Suggests the market is in an uptrend based on higher timeframe analysis.
Short Bias: Indicates a downtrend.
Neutral Bias: Suggests no clear directional bias.
Trend Lines: Automatic trend lines are drawn based on significant pivot highs and lows. These lines will dynamically adjust based on price movement. Users can control the number of trend lines displayed and extend them over time to track developing trends.
Percentile Pricing: The script also plots the 25th percentile (discount zone), 75th percentile (premium zone), and a fair value price. This helps identify whether the current price is overbought (premium) or oversold (discount).
Customization:
Zone Strength Filter: Users can set a minimum strength threshold for order blocks to be displayed.
Color Customization: Users can choose colors for demand and supply zones, market structure, breakouts, and FVGs.
Dynamic Zone Management: The script allows zones to be deleted after a certain number of bars or dynamically adjusts zones based on recent price action.
Max Zone Count: Limits the number of supply and demand zones shown on the chart to maintain clarity.
Backtesting & Win Rate: The script includes a backtesting engine to calculate the percentage of respect on the interaction between price and demand/supply zones. Results are displayed in a table at the bottom of the chart, showing the percentage rating for both long and short zones. Please note that this is not a win rate of a simulated strategy, it simply is a measure to understand if the current assets tends to respect more supply or demand zones.
How to Use:
Load the script onto your chart. The default settings are optimized for identifying key price action zones and structure on intraday charts of liquid assets.
Customize the settings according to your strategy. For example, adjust the "Max Orderblocks" and "Strength Filter" to focus on more significant price action areas.
Monitor the liquidity grabs, breakouts, and FVGs for potential trade opportunities.
Use the bias and market structure analysis to align your trades with the prevailing market trend.
Refer to the backtesting win rates to evaluate the effectiveness of the zones in your trading.
Terms & Conditions:
By using this script, you agree to the following terms:
Educational Purposes Only: This script is provided for informational and educational purposes and does not constitute financial advice. Use at your own risk.
No Warranty: The script is provided "as-is" without any guarantees or warranties regarding its accuracy or completeness. The creator is not responsible for any losses incurred from the use of this tool.
Open-Source License: This script is open-source and may be modified or redistributed in accordance with the TradingView open-source license. Proper credit to the original creator, OmegaTools, must be maintained in any derivative works.
Price Action Smart Money Concepts [BigBeluga]THE SMART MONEY CONCEPTS Toolkit
The Smart Money Concepts [ BigBeluga ] is a comprehensive toolkit built around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors.
The Smart Money Concepts Toolkit brings together a suite of advanced indicators that are all interconnected and built around a unified concept: understanding and trading like institutional investors, or "smart money." These indicators are not just randomly chosen tools; they are features of a single overarching framework, which is why having them all in one place creates such a powerful system.
This all-in-one toolkit provides the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas.
Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels.
Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions.
Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit.
Swing failure patterns help traders identify potential entry points and rejection zones based on price swings.
Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edge to make informed trading decisions based on liquidity dynamics.
๐ต FEATURES
The indicator has quite a lot of features that are provided below:
Swing market structure
Internal market structure
Mapping structure
Adjustable market structure
Strong/Weak H&L
Sweep
Volumetric Order block / Breakers
Fair Value Gaps / Breakers (multi-timeframe)
Swing Failure Patterns (multi-timeframe)
Deviation area
Equal H&L
Liquidity Prints
Buyside & Sellside
Sweep Area
Highs and Lows (multi-timeframe)
๐ต BASIC DEMONSTRATION OF ALL FEATURES
1. MARKET STRUCTURE
The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator.
โค Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x').
โค Internal Structure: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals.
โค Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions.
โค Mapping structure: A tool that automatically identifies and connects significant price highs and lows, creating a zig-zag pattern. It visualizes market structure, highlights trends, support/resistance levels, and potential breakouts. Helps traders quickly grasp price action patterns and make informed decisions.
โค Color-coded candles based on market structure: These colors visually represent the underlying market structure, making it easier for traders to quickly identify trends.
โค Extreme H&L: It visualizes market structure with extreme high and lows, which gives perspective for macro Market Structure.
2. VOLUMETRIC ORDER BLOCKS
Order blocks are specific areas on a financial chart where significant buying or selling activity has occurred. These are not just simple zones; they contain valuable information about market dynamics. Within each of these order blocks, volume bars represent the actual buying and selling activity that took place. These volume bars offer deeper insights into the strength of the order block by showing how much buying or selling power is concentrated in that specific zone.
Additionally, these order blocks can be transformed into Breaker Blocks. When an order block failsโmeaning the price breaks through this zone without reversingโit becomes a breaker block. Breaker blocks are particularly useful for trading breakouts, as they signal that the market has shifted beyond a previously established zone, offering opportunities for traders to enter in the direction of the breakout.
Here's a breakdown:
โค Bear Order Blocks (Red): These are zones where a lot of selling happened. Traders see these areas as places where sellers were strong, pushing the price down. When the price returns to these zones, it might face resistance and drop again.
โค Bull Order Blocks (Green): These are zones where a lot of buying happened. Traders see these areas as places where buyers were strong, pushing the price up. When the price returns to these zones, it might find support and rise again.
These Order Blocks help traders identify potential areas for entering or exiting trades based on past market activity. The volume bars inside blocks show the amount of trading activity that occurred in these blocks, giving an idea of the strength of buying or selling pressure.
โค Breaker Block: When an order block fails, meaning the price breaks through this zone without reversing, it becomes a breaker block. This indicates a significant shift in market liquidity and structure.
โค A bearish breaker block occurs after a bullish order block fails. This typically happens when there's an upward trend, and a certain level that was expected to support the market's rise instead gives way, leading to a sharp decline. This decline indicates that sellers have overcome the buyers, absorbing liquidity and shifting the sentiment from bullish to bearish.
Conversely, a bullish breaker block is formed from the failure of a bearish order block. In a downtrend, when a level that was expected to act as resistance is breached, and the price shoots up, it signifies that buyers have taken control, overpowering the sellers.
3. FAIR VALUE GAPS:
A fair value gap (FVG), also referred to as an imbalance, is an essential concept in Smart Money trading. It highlights the supply and demand dynamics. This gap arises when there's a notable difference between the volume of buy and sell orders. FVGs can be found across various asset classes, including forex, commodities, stocks, and cryptocurrencies.
FVGs in this toolkit have the ability to detect raids of FVG which helps to identify potential price reversals.
Mitigation option helps to change from what source FVGs will be identified: Close, Wicks or AVG.
4. SWING FAILURE PATTERN (SFP):
The Swing Failure Pattern is a liquidity engineering pattern, generally used to fill large orders. This means, the SFP generally occurs when larger players push the price into liquidity pockets with the sole objective of filling their own positions.
SFP is a technical analysis tool designed to identify potential market reversals. It works by detecting instances where the price briefly breaks a previous high or low but fails to maintain that breakout, quickly reversing direction.
How it works:
Pattern Detection: The indicator scans for price movements that breach recent highs or lows.
Reversal Confirmation: If the price quickly reverses after breaching these levels, it's identified as an SFP.
โค SFP Display:
Bullish SFP: Marked with a green symbol when price drops below a recent low before reversing upwards.
Bearish SFP: Marked with a red symbol when price rises above a recent high before reversing downwards.
โค Deviation Levels: After detecting an SFP, the indicator projects white lines showing potential price deviation:
For bullish SFPs, the deviation line appears above the current price.
For bearish SFPs, the deviation line appears below the current price.
These deviation levels can serve as a potential trading opportunity or areas where the reversal might lose momentum.
With Volume Threshold and Filtering of SFP traders can adjust their trading style:
Volume Threshold: This setting allows traders to filter SFPs based on the volume of the reversal candle. By setting a higher volume threshold, traders can focus on potentially more significant reversals that are backed by higher trading activity.
SFP Filtering: This feature enables traders to filter SFP detection. It includes parameters such as:
5. LIQUIDITY CONCEPTS:
โค Equal Lows (EQL) and Equal Highs (EQH) are important concepts in liquidity-based trading.
EQL: A series of two or more swing lows that occur at approximately the same price level.
EQH: A series of two or more swing highs that occur at approximately the same price level.
EQLs and EQHs are seen as potential liquidity pools where a large number of stop loss orders or limit orders may be clustered. They can be used as potential reverse points for trades.
This multi-period feature allows traders to select less and more significant EQL and EQH:
โค Liquidity wicks:
Liquidity wicks are a minor representation of a stop-loss hunt during the retracement of a pivot point:
โค Buy and Sell side liquidity:
The buy side liquidity represents a concentration of potential buy orders below the current price level. When price moves into this area, it can lead to increased buying pressure due to the execution of these orders.
The sell side liquidity indicates a pool of potential sell orders below the current price level. Price movement into this area can result in increased selling pressure as these orders are executed.
โค Sweep Liquidation Zones:
Sweep Liquidation Zones are crucial for understanding market structure and potential future price movements. They provide insights into areas where significant market participants have been forced out of their positions, potentially setting up new trading opportunities.
๐ต USAGE & EXAMPLES
The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades.
MS + OBs
The chart illustrates a highly bullish setup where the price is rejecting from a bullish order block (POC), while simultaneously forming a bullish Swing Failure Pattern (SFP). This occurs after an internal structure change, marked by a bullish Change of Character (CHoCH). The price broke through a bearish order block, transforming it into a breaker block, further confirming the bullish momentum.
The combination of these elementsโbullish order blocks, SFP, and CHoCHโcreates a powerful bullish signal, reinforcing the potential for upward movement in the market.
SFP + Bear OB
This chart above displays a bearish setup with a high probability of a price move lower. The price is currently rejecting from a bear order block, which represents a key resistance area where significant selling pressure has previously occurred. A Swing Failure Pattern (SFP) has also formed near this bear order block, indicating that the price briefly attempted to break above a recent high but failed to sustain that upward movement. This failure suggests that buyers are losing momentum, and the market could be preparing for a move to the downside.
Additionally, we can toggle on the Deviation Area in the SFP section to highlight potential levels where price deviation might occur. These deviation areas represent zones where the price is likely to react after the Swing Failure Pattern:
BUY โ SELL sides + EQL
The chart showcases a bullish setup with a high probability of price breaking out of the current sell-side resistance level. The market structure indicates a formation of Equal Lows (EQL), which often suggests a build-up of liquidity that could drive the price higher.
The presence of strong buy-side pressure (69%), indicated by the green zone at the bottom, reinforces this bullish outlook. This area represents a key support zone where buyers are outpacing sellers, providing the foundation for a potential upward breakout.
EQL + Bull ChoCh
This chart illustrates a potential bullish setup, driven by the formation of Equal Lows (EQL) followed by a bullish Change of Character (CHoCH). The presence of Equal Lows often signals a liquidity build-up, which can lead to a reversal when combined with additional bullish signals.
Liquidity grab + Bull ChoCh + FVGs
This chart demonstrates a strong bullish scenario, where several important market dynamics are at play. The price begins its upward momentum from Liquidity grab following a bullish Change of Character (CHoCH), signaling the transition from a bearish phase to a bullish one.
As the price progresses, it performs liquidity grabs, which serve to gather the necessary fuel for further movement. These liquidity grabs often occur before significant price surges, as large market participants exploit these areas to accumulate positions before pushing the price higher.
The chart also highlights a market imbalance area, showing strong momentum as the price moves swiftly through this zone.
In this examples, we see how the combination of multiple โsmart moneyโ tools helps identify a potential trade opportunities. This is just one of the many scenarios that traders can spot using this toolkit. Other combinationsโsuch as order blocks, liquidity grabs, fair value gaps, and Swing Failure Patterns (SFPs)โcan also be layered on top of these concepts to further refine your trading strategy.
๐ต SETTINGS
Window: limit calculation period
Swing: limit drawing function
Mapping structure: show structural points
Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation
Algorithmic loopback: pivot point look back
Show Last: Amount of Order block to display
Hide Overlap: hide overlapping order blocks
Construction: Size of the order blocks
Fair value gaps: Choose between normal FVG or Breaker FVG
Mitigation: (close - wick - avg) point to mitigate the order block/imbalance
SFP lookback: find a higher / lower point to improve accuracy
Threshold: remove less relevant SFP
Equal H&L: (short-mid-long term) display longer term
Liquidity Prints: Shows wicks of candles where liquidity was grabbed
Sweep Area: Identify Sweep Liquidation areas
By combining these indicators in one toolkit, traders are equipped with a comprehensive suite of tools that address every angle of the Smart Money Concept. Instead of relying on disparate tools spread across various platforms, having them integrated into a single, cohesive system allows traders to easily see confluence and make more informed trading decisions.
Structural Liquidity Signals [BullByte]Structural Liquidity Signals (SFP, FVG, BOS, AVWAP)
Short description
Detects liquidity sweeps (SFPs) at pivots and PD/W levels, highlights the latest FVG, tracks AVWAP stretch, arms percentile extremes, and triggers after confirmed micro BOS.
Full description
What this tool does
Structural Liquidity Signals shows where price likely tapped liquidity (stop clusters), then waits for structure to actually change before it prints a trigger. It spots:
Liquidity sweeps (SFPs) at recent pivots and at prior day/week highs/lows.
The latest Fair Value Gap (FVG) that often โpullsโ price or serves as a reaction zone.
How far price is stretched from two VWAP anchors (one from the latest impulse, one from todayโs session), scaled by ATR so it adapts to volatility.
A โpercentileโ extreme of an internal score. At extremes the script โarmsโ a setup; it only triggers after a small break of structure (BOS) on a closed bar.
Originality and design rationale, why itโs not โjust a mashupโ
This is not a mashup for its own sake. Itโs a purpose-built flow that links where liquidity is likely to rest with how structure actually changes:
- Liquidity location: We focus on areas where stops commonly clusterโrecent pivots and prior day/week highs/lowsโthen detect sweeps (SFPs) when price wicks beyond and closes back inside.
- Displacement context: We track the last Fair Value Gap (FVG) to account for recent inefficiency that often acts as a magnet or reaction zone.
- Stretch measurement: We anchor VWAP to the latest N-bar impulse and to the Daily session, then normalize stretch by ATR to assess dislocation consistently across assets/timeframes.
- Composite exhaustion: We combine stretch, wick skew, and volume surprise, then bend the result with a tanh transform so extremes are bounded and comparable.
- Dynamic extremes and discipline: Rather than triggering on every sweep, we โarmโ at statistical extremes via percent-rank and only fire after a confirmed micro Break of Structure (BOS). This separates โinterestingโ from โactionable.โ
Key concepts
SFP (liquidity sweep): A candle briefly trades beyond a level (where stops sit) and closes back inside. We detect these at:
Pivots (recent swing highs/lows confirmed by โleft/rightโ bars).
Prior Day/Week High/Low (PDH/PDL/PWH/PWL).
FVG (Fair Value Gap): A small 3โbar gap (bar2 high vs bar1 low, or vice versa). The latest gap often acts like a magnet or reaction zone. We track the most recent Up/Down gap and whether price is inside it.
AVWAP stretch: Distance from an Anchored VWAP divided by ATR (volatility). We use:
Impulse AVWAP: resets on each new Nโbar high/low.
Daily AVWAP: resets each new session.
PR (Percentile Rank): Where the current internal score sits versus its own recent history (0..100). We arm shorts at high PR, longs at low PR.
Micro BOS: A small break of the recent high (for longs) or low (for shorts). This is the โgo/noโgoโ confirmation.
How the parts work together
Find likely liquidity grabs (SFPs) at pivots and PD/W levels.
Add context from the latest FVG and AVWAP stretch (how far price is from โfairโ).
Build a bounded score (so different markets/timeframes are comparable) and compute its percentile (PR).
Arm at extremes (high PR โ short candidate; low PR โ long candidate).
Only print a trigger after a micro BOS, on a closed bar, with spacing/cooldown rules.
What you see on the chart (legend)
Lines:
Teal line = Impulse AVWAP (resets on new Nโbar extreme).
Aqua line = Daily AVWAP (resets each session).
PDH/PDL/PWH/PWL = prior day/week levels (toggle on/off).
Zones:
Greenish box = latest Up FVG; Reddish box = latest Down FVG.
The shading/border changes after price trades back through it.
SFP labels:
SFPโP = SFP at Pivot (dotted line marks that pivotโs price).
SFPโL = SFP at Level (at PDH/PDL/PWH/PWL).
Throttle: To reduce clutter, SFPs are rateโlimited per direction.
Triggers:
Triangle up = long trigger after BOS; triangle down = short trigger after BOS.
Optional badge shows direction and PR at the moment of trigger.
Optional Trigger Zone is an ATRโsized box around the trigger barโs close (for visualization only).
Background:
Light green/red shading = a long/short setup is โarmedโ (not a trigger).
Dashboard (Mini/Pro) โ what each item means
PR: Percentile of the internal score (0..100). Near 0 = bullish extreme, near 100 = bearish extreme.
Gauge: Text bar that mirrors PR.
State: Idle, Armed Long (with a countdown), or Armed Short.
Cooldown: Bars remaining before a new setup can arm after a trigger.
Bars Since / Last Px: How long since last trigger and its price.
FVG: Whether price is in the latest Up/Down FVG.
Imp/Day VWAP Dist, PD Dist(ATR): Distance from those references in ATR units.
ATR% (Gate), Trend(HTF): Status of optional regime filters (volatility/trend).
How to use it (stepโbyโstep)
Keep the Safety toggles ON (default): triggers/visuals on barโclose, optional confirmed HTF for trend slope.
Choose timeframe:
Intraday (5mโ1h) or Swing (1hโ4h). On very fast/thin charts, enable Performance mode and raise spacing/cooldown.
Watch the dashboard:
When PR reaches an extreme and an SFP context is present, the background shades (armed).
Wait for the trigger triangle:
It prints only after a micro BOS on a closed bar and after spacing/cooldown checks.
Use the Trigger Zone box as a visual reference only:
This script never tells you to buy/sell. Apply your own plan for entry, stop, and sizing.
Example:
Bullish: Sweep under PDL (SFPโL) and reclaim; PR in lower tail arms long; BOS up confirms โ long trigger on bar close (ATR-sized trigger zone shown).
Bearish: Sweep above PDH/pivot (SFPโL/P) and reject; PR in upper tail arms short; BOS down confirms โ short trigger on bar close (ATR-sized trigger zone shown).
Settings guide (with โwhen to adjustโ)
Safety & Stability (defaults ON)
Confirm triggers at bar close, Draw visuals at bar close: Keep ON for clean, stable prints.
Use confirmed HTF values: Applies to HTF trend slope only; keeps it from changing until the HTF bar closes.
Performance mode: Turn ON if your chart is busy or laggy.
Core & Context
ATR Length: Bigger = smoother distances; smaller = more reactive.
Impulse AVWAP Anchor: Larger = fewer resets; smaller = resets more often.
Show Daily AVWAP: ON if you want session context.
Use last FVG in logic: ON to include FVG context in arming/score.
Show PDH/PDL/PWH/PWL: ON to see prior day/week levels that often attract sweeps.
Liquidity & Microstructure
Pivot Left/Right: Higher values = stronger/rarer pivots.
Min Wick Ratio (0..1): Higher = only more pronounced SFP wicks qualify.
BOS length: Larger = stricter BOS; smaller = quicker confirmations.
Signal persistence: Keeps SFP context alive for a few bars to avoid flicker.
Signal Gating
PercentโRank Lookback: Larger = more stable extremes; smaller = more reactive extremes.
Arm thresholds (qHi/qLo): Move closer to 0.5 to see more arms; move toward 0/1 to see fewer arms.
TTL, Cooldown, Min bars and Min ATR distance: Space out triggers so youโre not reacting to minor noise.
Regime Filters (optional)
ATR percentile gate: Only allow triggers when volatility is at/above a set percentile.
HTF trend gate: Only allow longs when the HTF slope is up (and shorts when itโs down), above a minimum slope.
Visuals & UX
Only show โimportantโ SFPs: Filters pivot SFPs by Volume Z and |Impulse stretch|.
Trigger badges/history and Max badge count: Control label clutter.
Compact labels: Toggle SFPโP/L vs full names.
Dashboard mode and position; Dark theme.
Reading PR (the builtโin โoscillatorโ)
PR ~ 0โ10: Potential bullish extreme (long side can arm).
PR ~ 90โ100: Potential bearish extreme (short side can arm).
Important: โArmedโ โ โEnter.โ A trigger still needs a micro BOS on a closed bar and spacing/cooldown to pass.
Repainting, confirmations, and HTF notes
By default, prints wait for the bar to close; this reduces repaintโlike effects.
Pivot SFPs only appear after the pivot confirms (after the chosen โrightโ bars).
PD/W levels come from the prior completed candles and do not change intraday.
If you enable confirmed HTF values, the HTF slope will not change until its higherโtimeframe bar completes (safer but slightly delayed).
Performance tips
If labels/zones clutter or the chart lags:
Turn ON Performance mode.
Hide FVG or the Trigger Zone.
Reduce badge history or turn badge history off.
If price scaling looks compressed:
Keep optional โscoreโ/โPRโ plots OFF (they overlay price and can affect scaling).
Alerts (neutral)
Structural Liquidity: LONG TRIGGER
Structural Liquidity: SHORT TRIGGER
These fire when a trigger condition is met on a confirmed bar (with defaults).
Limitations and risk
Not every sweep/extreme reverses; false triggers occur, especially on thin markets and low timeframes.
This indicator does not provide entries, exits, or position sizingโuse your own plan and risk control.
Educational/informational only; no financial advice.
License and credits
ยฉ BullByte - MPL 2.0. Openโsource for learning and research.
Built from repeated observations of how liquidity runs, imbalance (FVG), and distance from โfairโ (AVWAPs) combine, and how a small BOS often marks the moment structure actually shifts.
Sunmool's Next Day Model FVG AlertNY Killzone FVG Alert - ICT Fair Value Gap Detection Indicator
This comprehensive Pine Script indicator is specifically designed for traders following ICT (Inner Circle Trader) methodology and Smart Money Concepts. The indicator automatically detects Fair Value Gaps (FVG) that occur during the New York Killzone session, providing real-time alerts when these critical market imbalances are identified.
Key Features:
๐ฏ Fair Value Gap Detection
Automatically identifies bullish and bearish Fair Value Gaps using the classic 3-candle pattern
Filters gaps based on customizable minimum size thresholds to avoid insignificant imbalances
Provides visual representation through colored boxes and labels for easy identification
โฐ New York Killzone Focus
Specifically monitors the NY Killzone session (default: 7:00 AM - 10:00 AM EST)
Fully customizable session times to accommodate different trading preferences
Only detects FVGs when all three candles forming the gap occur within the killzone timeframe
๐
ICT Next Day Model Compliance
Automatically excludes Mondays from FVG detection as per ICT Next Day Model principles
Optional Monday exclusion can be toggled on/off based on trading strategy
Ensures alignment with professional ICT trading methodologies
๐ Advanced Alert System
Three distinct alert conditions: Bullish FVG, Bearish FVG, and Combined alerts
Customizable alert messages for different notification preferences
Compatible with TradingView's full alert system including email, SMS, and webhook notifications
๐จ Visual Customization
Adjustable colors for bullish and bearish FVG boxes
Configurable box extension length for better visualization
Optional background highlighting during killzone sessions
Clean, professional chart presentation that doesn't clutter your analysis
๐ Technical Specifications
Works on all timeframes, though most effective on intraday charts (1m, 5m, 15m)
Timezone-aware calculations ensure accurate session detection globally
Efficient code structure minimizes processing load and chart lag
Compatible with other indicators and doesn't interfere with existing chart setups
๐ฏ Ideal For:
ICT methodology traders seeking automated FVG detection
Smart Money Concepts practitioners
Scalpers and day traders focusing on NY session
Traders looking to identify high-probability entry zones
Anyone interested in market structure and liquidity concepts
๐ Trading Applications:
Fair Value Gaps often serve as areas where price may return to "fill" the imbalance, making them excellent zones for:
Potential reversal areas
Take profit targets
Stop loss placement reference points
Market structure analysis
Confluence with other ICT concepts
โ๏ธ Customizable Parameters:
FVG minimum size filter
Killzone session start/end times
Visual display options
Alert preferences
Color schemes and styling options
This indicator brings institutional trading concepts to retail traders, helping identify the same market inefficiencies that smart money targets. By focusing specifically on the New York Killzone - one of the most liquid and volatile trading sessions - it provides high-quality signals during optimal market conditions.
Whether you're new to ICT concepts or an experienced trader looking to automate your FVG detection, this indicator provides the precision and reliability needed for professional trading analysis.
ICT Master Suite [Trading IQ]Hello Traders!
Weโre excited to introduce the ICT Master Suite by TradingIQ, a new tool designed to bring together several ICT concepts and strategies in one place.
The Purpose Behind the ICT Master Suite
There are a few challenges traders often face when using ICT-related indicators:
Many available indicators focus on one or two ICT methods, which can limit traders who apply a broader range of ICT related techniques on their charts.
There aren't many indicators for ICT strategy models, and we couldn't find ICT indicators that allow for testing the strategy models and setting alerts.
Many ICT related concepts exist in the public domain as indicators, not strategies! This makes it difficult to verify that the ICT concept has some utility in the market you're trading and if it's worth trading - it's difficult to know if it's working!
Some users might not have enough chart space to apply numerous ICT related indicators, which can be restrictive for those wanting to use multiple ICT techniques simultaneously.
The ICT Master Suite is designed to offer a comprehensive option for traders who want to apply a variety of ICT methods. By combining several ICT techniques and strategy models into one indicator, it helps users maximize their chart space while accessing multiple tools in a single slot.
Additionally, the ICT Master Suite was developed as a strategy . This means users can backtest various ICT strategy models - including deep backtesting. A primary goal of this indicator is to let traders decide for themselves what markets to trade ICT concepts in and give them the capability to figure out if the strategy models are worth trading!
What Makes the ICT Master Suite Different
There are many ICT-related indicators available on TradingView, each offering valuable insights. What the ICT Master Suite aims to do is bring together a wider selection of these techniques into one tool. This includes both key ICT methods and strategy models, allowing traders to test and activate strategies all within one indicator.
Features
The ICT Master Suite offers:
Multiple ICT strategy models, including the 2022 Strategy Model and Unicorn Model, which can be built, tested, and used for live trading.
Calculation and display of key price areas like Breaker Blocks, Rejection Blocks, Order Blocks, Fair Value Gaps, Equal Levels, and more.
The ability to set alerts based on these ICT strategies and key price areas.
A comprehensive, yet practical, all-inclusive ICT indicator for traders.
Customizable Timeframe - Calculate ICT concepts on off-chart timeframes
Unicorn Strategy Model
2022 Strategy Model
Liquidity Raid Strategy Model
OTE (Optimal Trade Entry) Strategy Model
Silver Bullet Strategy Model
Order blocks
Breaker blocks
Rejection blocks
FVG
Strong highs and lows
Displacements
Liquidity sweeps
Power of 3
ICT Macros
HTF previous bar high and low
Break of Structure indications
Market Structure Shift indications
Equal highs and lows
Swings highs and swing lows
Fibonacci TPs and SLs
Swing level TPs and SLs
Previous day high and low TPs and SLs
And much more! An ongoing project!
How To Use
Many traders will already be familiar with the ICT related concepts listed above, and will find using the ICT Master Suite quite intuitive!
Despite this, let's go over the features of the tool in-depth and how to use the tool!
The image above shows the ICT Master Suite with almost all techniques activated.
ICT 2022 Strategy Model
The ICT Master suite provides the ability to test, set alerts for, and live trade the ICT 2022 Strategy Model.
The image above shows an example of a long position being entered following a complete setup for the 2022 ICT model.
A liquidity sweep occurs prior to an upside breakout. During the upside breakout the model looks for the FVG that is nearest 50% of the setup range. A limit order is placed at this FVG for entry.
The target entry percentage for the range is customizable in the settings. For instance, you can select to enter at an FVG nearest 33% of the range, 20%, 66%, etc.
The profit target for the model generally uses the highest high of the range (100%) for longs and the lowest low of the range (100%) for shorts. Stop losses are generally set at 0% of the range.
The image above shows the short model in action!
Whether you decide to follow the 2022 model diligently or not, you can still set alerts when the entry condition is met.
ICT Unicorn Model
The image above shows an example of a long position being entered following a complete setup for the ICT Unicorn model.
A lower swing low followed by a higher swing high precedes the overlap of an FVG and breaker block formed during the sequence.
During the upside breakout the model looks for an FVG and breaker block that formed during the sequence and overlap each other. A limit order is placed at the nearest overlap point to current price.
The profit target for this example trade is set at the swing high and the stop loss at the swing low. However, both the profit target and stop loss for this model are configurable in the settings.
For Longs, the selectable profit targets are:
Swing High
Fib -0.5
Fib -1
Fib -2
For Longs, the selectable stop losses are:
Swing Low
Bottom of FVG or breaker block
The image above shows the short version of the Unicorn Model in action!
For Shorts, the selectable profit targets are:
Swing Low
Fib -0.5
Fib -1
Fib -2
For Shorts, the selectable stop losses are:
Swing High
Top of FVG or breaker block
The image above shows the profit target and stop loss options in the settings for the Unicorn Model.
Optimal Trade Entry (OTE) Model
The image above shows an example of a long position being entered following a complete setup for the OTE model.
Price retraces either 0.62, 0.705, or 0.79 of an upside move and a trade is entered.
The profit target for this example trade is set at the -0.5 fib level. This is also adjustable in the settings.
For Longs, the selectable profit targets are:
Swing High
Fib -0.5
Fib -1
Fib -2
The image above shows the short version of the OTE Model in action!
For Shorts, the selectable profit targets are:
Swing Low
Fib -0.5
Fib -1
Fib -2
Liquidity Raid Model
The image above shows an example of a long position being entered following a complete setup for the Liquidity Raid Modell.
The user must define the session in the settings (for this example it is 13:30-16:00 NY time).
During the session, the indicator will calculate the session high and session low. Following a โraidโ of either the session high or session low (after the session has completed) the script will look for an entry at a recently formed breaker block.
If the session high is raided the script will look for short entries at a bearish breaker block. If the session low is raided the script will look for long entries at a bullish breaker block.
For Longs, the profit target options are:
Swing high
User inputted Lib level
For Longs, the stop loss options are:
Swing low
User inputted Lib level
Breaker block bottom
The image above shows the short version of the Liquidity Raid Model in action!
For Shorts, the profit target options are:
Swing Low
User inputted Lib level
For Shorts, the stop loss options are:
Swing High
User inputted Lib level
Breaker block top
Silver Bullet Model
The image above shows an example of a long position being entered following a complete setup for the Silver Bullet Modell.
During the session, the indicator will determine the higher timeframe bias. If the higher timeframe bias is bullish the strategy will look to enter long at an FVG that forms during the session. If the higher timeframe bias is bearish the indicator will look to enter short at an FVG that forms during the session.
For Longs, the profit target options are:
Nearest Swing High Above Entry
Previous Day High
For Longs, the stop loss options are:
Nearest Swing Low
Previous Day Low
The image above shows the short version of the Silver Bullet Model in action!
For Shorts, the profit target options are:
Nearest Swing Low Below Entry
Previous Day Low
For Shorts, the stop loss options are:
Nearest Swing High
Previous Day High
Order blocks
The image above shows indicator identifying and labeling order blocks.
The color of the order blocks, and how many should be shown, are configurable in the settings!
Breaker Blocks
The image above shows indicator identifying and labeling order blocks.
The color of the breaker blocks, and how many should be shown, are configurable in the settings!
Rejection Blocks
The image above shows indicator identifying and labeling rejection blocks.
The color of the rejection blocks, and how many should be shown, are configurable in the settings!
Fair Value Gaps
The image above shows indicator identifying and labeling fair value gaps.
The color of the fair value gaps, and how many should be shown, are configurable in the settings!
Additionally, you can select to only show fair values gaps that form after a liquidity sweep. Doing so reduces "noisy" FVGs and focuses on identifying FVGs that form after a significant trading event.
The image above shows the feature enabled. A fair value gap that occurred after a liquidity sweep is shown.
Market Structure
The image above shows the ICT Master Suite calculating market structure shots and break of structures!
The color of MSS and BoS, and whether they should be displayed, are configurable in the settings.
Displacements
The images above show indicator identifying and labeling displacements.
The color of the displacements, and how many should be shown, are configurable in the settings!
Equal Price Points
The image above shows the indicator identifying and labeling equal highs and equal lows.
The color of the equal levels, and how many should be shown, are configurable in the settings!
Previous Custom TF High/Low
The image above shows the ICT Master Suite calculating the high and low price for a user-defined timeframe. In this case the previous dayโs high and low are calculated.
To illustrate the customizable timeframe function, the image above shows the indicator calculating the previous 4 hour high and low.
Liquidity Sweeps
The image above shows the indicator identifying a liquidity sweep prior to an upside breakout.
The image above shows the indicator identifying a liquidity sweep prior to a downside breakout.
The color and aggressiveness of liquidity sweep identification are adjustable in the settings!
Power Of Three
The image above shows the indicator calculating Po3 for two user-defined higher timeframes!
Macros
The image above shows the ICT Master Suite identifying the ICT macros!
ICT Macros are only displayable on the 5 minute timeframe or less.
Strategy Performance Table
In addition to a full-fledged TradingView backtest for any of the ICT strategy models the indicator offers, a quick-and-easy strategy table exists for the indicator!
The image above shows the strategy performance table in action.
Keep in mind that, because the ICT Master Suite is a strategy script, you can perform fully automatic backtests, deep backtests, easily add commission and portfolio balance and look at pertinent metrics for the ICT strategies you are testing!
Lite Mode
Traders who want the cleanest chart possible can toggle on โLite Modeโ!
In Lite Mode, any neon or โglowโ like effects are removed and key levels are marked as strict border boxes. You can also select to remove box borders if thatโs what you prefer!
Settings Used For Backtest
For the displayed backtest, a starting balance of $1000 USD was used. A commission of 0.02%, slippage of 2 ticks, a verify price for limit orders of 2 ticks, and 5% of capital investment per order.
A commission of 0.02% was used due to the backtested asset being a perpetual future contract for a crypto currency. The highest commission (lowest-tier VIP) for maker orders on many exchanges is 0.02%. All entered positions take place as maker orders and so do profit target exits. Stop orders exist as stop-market orders.
A slippage of 2 ticks was used to simulate more realistic stop-market orders. A verify limit order settings of 2 ticks was also used. Even though BTCUSDT.P on Binance is liquid, we just want the backtest to be on the safe side. Additionally, the backtest traded 100+ trades over the period. The higher the sample size the better; however, this example test can serve as a starting point for traders interested in ICT concepts.
Community Assistance And Feedback
Given the complexity and idiosyncratic applications of ICT concepts amongst its proponents, the ICT Master Suiteโs built-in strategies and level identification methods might not align with everyone's interpretation.
That said, the best we can do is precisely define ICT strategy rules and concepts to a repeatable process, test, and apply them! Whether or not an ICT strategy is trading precisely how you would trade it, seeing the model in action, taking trades, and with performance statistics is immensely helpful in assessing predictive utility.
If you think we missed something, you notice a bug, have an idea for strategy model improvement, please let us know! The ICT Master Suite is an ongoing project that will, ideally, be shaped by the community.
A big thank you to the @PineCoders for their Time Library!
Thank you!
ICT Balance Price Range [UAlgo]The "ICT Balance Price Range " indicator identifies and visualizes potential balance price ranges (BPRs) on a price chart. These ranges are indicative of periods where the market exhibits balance between bullish and bearish forces, often preceding significant price movements.
๐ถ What is Balanced Price Range (BPR) ?
Balanced Price Range is a concept based on Fair Value Gap. Balanced price range (BPR) is the area on price chart where two opposite fair value gaps overlap.
When price approaches the Balanced Price Range (BPR), we assume that the price will react quickly and strongly here. This is because its the combination of two fair value gaps and being a good point of interest for smart money traders.
๐ถ Key Features:
Bars to Consider: Determines the number of bars to evaluate for BPR conditions.
Threshold for BPR: Sets the minimum range required for a valid BPR to be identified.
Remove Old BPR: Option to automatically remove invalidated BPRs from the chart.
Bearish/Bullish Box Color: Customizable colors for visual representation of bearish and bullish BPRs.
๐ถ Disclaimer
This indicator is provided for educational and informational purposes only.
It should not be considered as financial advice or a recommendation to buy or sell any financial instrument.
The use of this indicator involves inherent risks, and users should employ their own judgment and conduct their own research before making any trading decisions. Past performance is not indicative of future results.
๐ท Related Scripts
Fair Value Gaps (FVG)
ICT First Presented FVG with Volume Imbalance [1st P. FVG + VI]The indicator identifies and highlights the first presented Fair Value Gap (FVG) occurringthe morning (09:30โ10:00) and afternoon (13:30โ14:00) session's first 30 minutes. It includes an optional feature to extend FVG zones when a volume imbalance (V.I.) is detected, providing additional context for areas of potential price inefficiency. This powerful combination helps traders identify significant market structure gaps that often act as support/resistance zones and potential price targets.
What is an FVG?
A Fair Value Gap, often abbreviated as FVG, is a price range on a chart where there is an inefficiency or imbalance in trading. This typically happens when price moves rapidly in one direction, leaving a gap between the wicks or bodies of three consecutive candles. For example, in a bullish move, if the low of the third candle is higher than the high of the first candle, the space between them is the FVG.
What is a Volume Imbalance?
A volume imbalance is a smaller, more precise inefficiency within price action, often visible as a "crack" or thin area in the price delivery. It represents a spot where the volume traded was not balanced between buyers and sellers, often seen as a thin wick or a gap between candle bodies.
FVG + Volume Imbalance:
When you have a fair value gap that contains a volume imbalance, it becomes a more significant area of interest. ICT teaches that you should not ignore a volume imbalance if itโs part of an FVG. In fact, you should use the volume imbalance in conjunction with the FVG to define your trading range more accurately
๐ Volume Imbalance Integration
Toggle Option: Enable/disable volume imbalance detection based on preference
Extended Boundaries: When enabled, FVG boundaries expand to include volume imbalance zones
Accurate Gap Sizing: Total gap calculation includes volume imbalance extensions
Multi-Scenario Support: Handles volume imbalances at start, end, or both sides of FVG formations
๐ Multiple Display Modes
Current Day: Shows only today's FVGs for clean chart analysis
Current Week: Displays all weekly FVGs for broader context
Forward Extension: Extends FVG boxes and CE, Upper/Lower Quadrant lines into the future
๐ Visualization
Bullish FVGs appear in semi-transparent blue or purple zones (depending on session).
Bearish FVGs appear in red or orange zones.
Optional dotted lines mark the CE (midpoint) of each FVG for additional reference.
Quadrant Division: Additional 25%/75% lines for large FVGs (configurable minimum gap size)
๐ฏ Smart Filtering
First Presentation Only: Only displays the initial FVG in each session, avoiding clutter
Minimum Gap Size: Configurable tick-based thresholds for AM and PM sessions
Core FVG Validation: Ensures only valid Fair Value Gaps are displayed
โ๏ธ Configuration Options
Display Settings
Show Mode: Current Day or Current Week view
Forward Extension: 1-500 bars projection
Day Labels: Toggle weekday labels in weekly mode
Text Color: Customizable label colors
Volume Imbalance Settings
Include Volume Imbalance: Master toggle for enhanced boundary calculation
Automatic Detection: Identifies imbalance scenarios without additional input
Session-Specific Settings
AM Session (09:30-10:00):
Enable/disable AM FVG detection
Customizable bullish/bearish colors
CE line visibility and coloring
Minimum gap size in ticks
PM Session (13:30-14:00):
Enable/disable PM FVG detection
Customizable bullish/bearish colors
CE line visibility and coloring
Minimum gap size in ticks
Quadrant Settings
Enable/Disable: Toggle quadrant line display
Minimum Gap: Tick threshold for quadrant activation
Line Style: Dotted, dashed, or solid
Color: Customizable quadrant line color
How It Works
FVG Boundary Calculation
Traditional FVG: High to Low (bullish) or Low to High (bearish)
Enhanced FVG: Extended boundaries to include volume imbalance zones when enabled
Total Gap Size: Calculated including any volume imbalance extensions
Volume Imbalance Detection
The indicator identifies volume imbalances by detecting bars where:
Bullish Imbalance: Current bar's body is completely above previous bar's body
Bearish Imbalance: Current bar's body is completely below previous bar's body
โ ๏ธ Disclaimer
This script is a technical visualization tool only.
It does not provide financial advice, signals, or predictions. Always perform independent analysis and manage risk appropriately before making trading decisions.
Scalper Pro Pattern Recognition & Price ActionOVERVIEW
Scalper Pro is a comprehensive multi-timeframe trading indicator that combines Smart Money Concepts (SMC) with traditional technical analysis to provide scalpers and day traders with high-probability entry and exit signals. This indicator integrates multiple analytical frameworks into a unified visual system designed specifically for short-term trading strategies.
ORIGINALITY & PURPOSE
What Makes This Script Original
This script is not a simple mashup of existing indicators. Instead, it represents a carefully orchestrated integration of complementary analytical methods that work together to solve a specific problem: identifying high-probability scalping opportunities in volatile markets.
The unique value proposition:
Adaptive Trend Filtering System - Combines a customized SuperTrend algorithm with dual-period range filters (Cirrus Cloud) and Hull Moving Average trend cloud to create a three-layer trend confirmation system
Smart Money Concepts Integration - Incorporates institutional trading concepts (Order Blocks, Fair Value Gaps, Break of Structure) with retail technical indicators for a complete market structure view
Dynamic Risk Management - Automatically calculates stop-loss and take-profit levels based on ATR volatility, providing objective position sizing
ADX-Based Market Regime Detection - Identifies ranging vs. trending markets through ADX analysis with visual bar coloring to prevent whipsaws during consolidation
Why Combine These Specific Components
Each component addresses a specific weakness in scalping:
SuperTrend provides the primary directional bias but can generate false signals in ranging markets
Range Filters smooth out noise and confirm trend direction, reducing SuperTrend false positives
ADX Analysis prevents trading during low-volatility consolidation when most indicators fail
SMC Elements identify institutional activity zones where price is likely to react strongly
ATR-Based Risk Management adapts position sizing to current volatility conditions
The synergy creates a system where signals are only generated when multiple confirmation layers align, significantly reducing false signals common in single-indicator approaches.
HOW IT WORKS
Core Calculation Methodology
1. SuperTrend Signal Generation
The script uses a modified SuperTrend algorithm with the following calculation:
ATR = Average True Range (default: 10 periods)
Factor = 7 (default sensitivity multiplier)
Upper Band = Source + (Factor ร ATR)
Lower Band = Source - (Factor ร ATR)
Directional Logic:
When price crosses above SuperTrend โ Bullish signal
When price crosses below SuperTrend โ Bearish signal
SuperTrend value is plotted as dynamic support/resistance
Key Modification: The sensitivity parameter (nsensitivity * 7) allows users to adjust the aggressiveness of trend detection without changing the core ATR calculation.
2. Range Filter System (Cirrus Cloud)
The Range Filter uses a smoothed range calculation to filter out market noise:
Smooth Range Calculation:
WPER = (Period ร 2) - 1
AVRNG = EMA(|Price - Price |, Period)
Smooth Range = EMA(AVRNG, WPER) ร Multiplier
Two-Layer System:
Layer 1: 22-period with 6x multiplier (broader trend)
Layer 2: 15-period with 5x multiplier (tighter price action)
Visual Output: The space between these two filters is colored:
Green fill = Bullish trend (Layer 1 > Layer 2)
Red fill = Bearish trend (Layer 1 < Layer 2)
This creates a "cloud" that expands during strong trends and contracts during consolidation.
3. ADX Market Regime Detection
Calculation:
+DM = Positive Directional Movement
-DM = Negative Directional Movement
True Range = RMA of True Range (15 periods)
+DI = 100 ร RMA(+DM, 15) / True Range
-DI = 100 ร RMA(-DM, 15) / True Range
ADX = 100 ร RMA(|+DI - -DI| / (+DI + -DI), 15)
Threshold System:
ADX < Threshold (default 15) = Ranging market โ Bar color changes to purple
ADX > Threshold = Trending market โ Normal bar coloring applies
Purpose: This prevents taking trend-following signals during sideways markets where most indicators produce whipsaws.
4. Smart Money Concepts (SMC) Integration
Order Blocks (OB):
Identified using swing high/low detection with customizable pivot length
Bullish OB: Last down-close candle before bullish Break of Structure (BOS)
Bearish OB: Last up-close candle before bearish BOS
Extended forward until price breaks through them
Fair Value Gaps (FVG):
Detected when a three-candle gap exists:
Bullish FVG: Low > High
Bearish FVG: High < Low
Filtered by price delta percentage to ensure significant gaps
Displayed as boxes that delete when price fills the gap
Break of Structure (BOS) vs. Change of Character (CHoCH):
BOS = Price breaks the previous structural high/low in the current trend direction
CHoCH = Price breaks structure in the opposite direction (potential trend reversal)
Both internal (minor) and swing (major) structures are tracked
Equal Highs/Lows (EQH/EQL):
Detected when consecutive swing highs/lows are within ATR threshold
Often indicates liquidity pools that price may sweep before reversing
5. ATR-Based Risk Management
Calculation:
ATR Band = ATR(14) ร Risk Multiplier (default 3%)
Stop Loss = Entry - ATR Band (for longs) or Entry + ATR Band (for shorts)
Take Profit Levels:
TP1 = Entry + (Entry - Stop Loss) ร 1
TP2 = Entry + (Entry - Stop Loss) ร 2
TP3 = Entry + (Entry - Stop Loss) ร 3
Dynamic Labels: Stop loss and take profit levels are automatically calculated and displayed as labels on the chart when new signals trigger.
6. Hull Moving Average Trend Cloud
HMA = WMA(2 ร WMA(Close, Period/2) - WMA(Close, Period), sqrt(Period))
Period = 600 bars (long-term trend)
The HMA provides a smoothed long-term trend reference that's more responsive than traditional moving averages while filtering out short-term noise.
HOW TO USE THE INDICATOR
Entry Signals
Primary Buy Signal:
SuperTrend changes to green (price crosses above)
ADX shows market is NOT ranging (bars are NOT purple)
Price is within or near a bullish Order Block OR bullish FVG
Cirrus Cloud shows green fill (Layer 1 > Layer 2)
Primary Sell Signal:
SuperTrend changes to red (price crosses below)
ADX shows market is NOT ranging
Price is within or near a bearish Order Block OR bearish FVG
Cirrus Cloud shows red fill (Layer 1 < Layer 2)
Confirmation Layers
Higher Probability Trades Include:
Bullish/Bearish BOS in the same direction as signal
Equal highs/lows being swept before entry
Price respecting premium/discount zones (above/below equilibrium)
Multiple timeframe alignment (use MTF settings)
Exit Strategy
The indicator provides three take-profit levels:
TP1: Conservative target (1:1 risk-reward)
TP2: Moderate target (2:1 risk-reward)
TP3: Aggressive target (3:1 risk-reward)
Suggested Exit Approach:
Close 1/3 position at TP1
Move stop to breakeven
Close 1/3 position at TP2
Trail remaining position or exit at TP3
Risk Management
Stop Loss:
Use the ATR-based stop loss level displayed on chart
Alternatively, use percentage-based stop (adjustable in settings)
Never risk more than 1-2% of account per trade
Position Sizing:
Position Size = (Account Risk $) / (Entry Price - Stop Loss Price)
CUSTOMIZABLE SETTINGS
Core Parameters
Buy/Sell Signals:
Toggle signals on/off
Adjust SuperTrend sensitivity (0.5 - 2.0)
Risk Management:
Show/hide TP/SL levels
ATR period (default: 14)
Risk percentage (default: 3%)
Number of decimal places for price labels
Trend Features:
Cirrus Cloud display toggle
Range filter periods (x1, x2, x3, x4)
Hull MA length for trend cloud
Smart Money Concepts:
Order Block settings (swing length, display count)
Fair Value Gap parameters (auto-threshold, extend length)
Structure detection (internal vs swing)
EQH/EQL threshold
ADX Settings:
ADX length (default: 15)
Sideways threshold (10-30, default: 15)
Bar color toggle
Display Options:
Previous day/week/month high/low levels
Premium/Discount/Equilibrium zones
Trend candle coloring (colored or monochrome)
BEST PRACTICES & TRADING TIPS
Optimal Use Cases
Scalping on lower timeframes (1m, 5m, 15m)
Rapid entry/exit with clear TP levels
ADX filter prevents choppy market entries
Day trading on medium timeframes (30m, 1H)
Stronger trend confirmation
Better risk-reward ratios
Swing trading entries on higher timeframes (4H, Daily)
Higher-probability structural setups
Larger ATR-based stops accommodate volatility
Market Conditions
Best Performance:
Trending markets with clear directional bias
Post-news volatility with defined structure
Markets respecting support/resistance levels
Avoid Trading When:
ADX indicator shows purple bars (ranging market)
Multiple conflicting signals across timeframes
Major news events without clear price structure
Low volume periods (market open/close)
Common Mistakes to Avoid
Ignoring the ADX filter - Taking signals during ranging markets leads to whipsaws
Not waiting for confirmation - Enter only when multiple layers align
Overtrading - Fewer high-quality setups outperform many mediocre ones
Ignoring risk management - Always use the calculated stop losses
Fighting the trend - Trade WITH the SuperTrend and Cirrus Cloud direction
TECHNICAL SPECIFICATIONS
Indicator Type: Overlay (plots on price chart)
Calculation Resources:
Max labels: 500
Max lines: 500
Max boxes: 500
Max bars back: 500
Pine Script Version: 5
Compatible Timeframes: All timeframes (optimized for 1m to 1D)
Compatible Instruments:
Forex pairs
Crypto assets
Stock indices
Individual stocks
Commodities
THEORETICAL FOUNDATION
Trend-Following Concepts
This indicator is based on the principle that markets trend more often than they range, and that trends tend to persist. The SuperTrend component captures this momentum while the range filters prevent premature entries during pullbacks.
Smart Money Theory
The SMC elements are based on the concept that institutional traders (banks, hedge funds) leave footprints in the form of:
Order Blocks: Areas where large orders were placed
Fair Value Gaps: Inefficient price movements that may be revisited
Liquidity Sweeps: Stop hunts before continuation (EQH/EQL)
Volatility-Based Position Sizing
Using ATR for stop-loss placement ensures that stop distances adapt to current market conditions:
Tight stops in low volatility (avoids excessive risk)
Wider stops in high volatility (avoids premature stop-outs)
PERFORMANCE EXPECTATIONS
Realistic Expectations
Win Rate:
Expected: 45-55% (trend-following systems rarely exceed 60%)
Higher win rates on trending days
Lower win rates during consolidation (even with ADX filter)
Risk-Reward Ratio:
Target: 1.5:1 minimum (TP2)
Achievable: 2:1 to 3:1 on strong trends
Drawdowns:
Normal: 10-15% of account during choppy periods
Maximum: Should not exceed 20% with proper risk management
Optimization Tips
Backtesting Recommendations:
Test on at least 1 year of historical data
Include different market conditions (trending, ranging, volatile)
Adjust SuperTrend sensitivity per instrument
Optimize ADX threshold for your specific market
Record trades to identify personal execution errors
FREQUENTLY ASKED QUESTIONS
Q: Can I use this for automated trading?
A: The indicator provides signals, but you'll need to code a strategy script separately for automation. The signals can trigger alerts that connect to trading bots.
Q: Why do I see conflicting signals?
A: This is normal during transition periods. Wait for all confirmation layers to align before entering.
Q: How often should I expect signals?
A: Depends on timeframe and market conditions. On 5m charts during trending markets: 3-7 quality setups per session.
Q: Can I use only some features?
A: Yes, all components can be toggled on/off. However, the system works best with all confirmations active.
Q: What's the difference between internal and swing structures?
A: Internal = minor price structures (smaller pivots). Swing = major price structures (larger pivots). Both provide different levels of confirmation.
DISCLAIMER
This indicator is a tool for technical analysis and should not be the sole basis for trading decisions. Past performance does not guarantee future results. Always:
Use proper risk management
Test on demo accounts first
Never risk more than you can afford to lose
Combine with fundamental analysis when applicable
Understand that no indicator is 100% accurate
License: Mozilla Public License 2.0
Author: DrFXGOD
VERSION HISTORY & UPDATES
Initial Release - Version 1.0
Integrated SuperTrend, Range Filters, ADX, SMC concepts
ATR-based risk management
Multi-timeframe support
Customizable visual elements
SUPPORT & DOCUMENTATION
For questions, suggestions, or bug reports, please comment on the script page or contact the author through TradingView.
Additional Resources:
Smart Money Concepts: Research ICT (Inner Circle Trader) materials
ATR and Volatility: Refer to Wilder's original ATR documentation
SuperTrend Indicator: Study original SuperTrend strategy papers
Scalper Pro Pattern Recognition & Price ActionOVERVIEW
Scalper Pro is a comprehensive multi-timeframe trading indicator that combines Smart Money Concepts (SMC) with traditional technical analysis to provide scalpers and day traders with high-probability entry and exit signals. This indicator integrates multiple analytical frameworks into a unified visual system designed specifically for short-term trading strategies.
ORIGINALITY & PURPOSE
What Makes This Script Original
This script is not a simple mashup of existing indicators. Instead, it represents a carefully orchestrated integration of complementary analytical methods that work together to solve a specific problem: identifying high-probability scalping opportunities in volatile markets.
The unique value proposition:
Adaptive Trend Filtering System - Combines a customized SuperTrend algorithm with dual-period range filters (Cirrus Cloud) and Hull Moving Average trend cloud to create a three-layer trend confirmation system
Smart Money Concepts Integration - Incorporates institutional trading concepts (Order Blocks, Fair Value Gaps, Break of Structure) with retail technical indicators for a complete market structure view
Dynamic Risk Management - Automatically calculates stop-loss and take-profit levels based on ATR volatility, providing objective position sizing
ADX-Based Market Regime Detection - Identifies ranging vs. trending markets through ADX analysis with visual bar coloring to prevent whipsaws during consolidation
Why Combine These Specific Components
Each component addresses a specific weakness in scalping:
SuperTrend provides the primary directional bias but can generate false signals in ranging markets
Range Filters smooth out noise and confirm trend direction, reducing SuperTrend false positives
ADX Analysis prevents trading during low-volatility consolidation when most indicators fail
SMC Elements identify institutional activity zones where price is likely to react strongly
ATR-Based Risk Management adapts position sizing to current volatility conditions
The synergy creates a system where signals are only generated when multiple confirmation layers align, significantly reducing false signals common in single-indicator approaches.
HOW IT WORKS
Core Calculation Methodology
1. SuperTrend Signal Generation
The script uses a modified SuperTrend algorithm with the following calculation:
ATR = Average True Range (default: 10 periods)
Factor = 7 (default sensitivity multiplier)
Upper Band = Source + (Factor ร ATR)
Lower Band = Source - (Factor ร ATR)
Directional Logic:
When price crosses above SuperTrend โ Bullish signal
When price crosses below SuperTrend โ Bearish signal
SuperTrend value is plotted as dynamic support/resistance
Key Modification: The sensitivity parameter (nsensitivity * 7) allows users to adjust the aggressiveness of trend detection without changing the core ATR calculation.
2. Range Filter System (Cirrus Cloud)
The Range Filter uses a smoothed range calculation to filter out market noise:
Smooth Range Calculation:
WPER = (Period ร 2) - 1
AVRNG = EMA(|Price - Price |, Period)
Smooth Range = EMA(AVRNG, WPER) ร Multiplier
Two-Layer System:
Layer 1: 22-period with 6x multiplier (broader trend)
Layer 2: 15-period with 5x multiplier (tighter price action)
Visual Output: The space between these two filters is colored:
Green fill = Bullish trend (Layer 1 > Layer 2)
Red fill = Bearish trend (Layer 1 < Layer 2)
This creates a "cloud" that expands during strong trends and contracts during consolidation.
3. ADX Market Regime Detection
Calculation:
+DM = Positive Directional Movement
-DM = Negative Directional Movement
True Range = RMA of True Range (15 periods)
+DI = 100 ร RMA(+DM, 15) / True Range
-DI = 100 ร RMA(-DM, 15) / True Range
ADX = 100 ร RMA(|+DI - -DI| / (+DI + -DI), 15)
Threshold System:
ADX < Threshold (default 15) = Ranging market โ Bar color changes to purple
ADX > Threshold = Trending market โ Normal bar coloring applies
Purpose: This prevents taking trend-following signals during sideways markets where most indicators produce whipsaws.
4. Smart Money Concepts (SMC) Integration
Order Blocks (OB):
Identified using swing high/low detection with customizable pivot length
Bullish OB: Last down-close candle before bullish Break of Structure (BOS)
Bearish OB: Last up-close candle before bearish BOS
Extended forward until price breaks through them
Fair Value Gaps (FVG):
Detected when a three-candle gap exists:
Bullish FVG: Low > High
Bearish FVG: High < Low
Filtered by price delta percentage to ensure significant gaps
Displayed as boxes that delete when price fills the gap
Break of Structure (BOS) vs. Change of Character (CHoCH):
BOS = Price breaks the previous structural high/low in the current trend direction
CHoCH = Price breaks structure in the opposite direction (potential trend reversal)
Both internal (minor) and swing (major) structures are tracked
Equal Highs/Lows (EQH/EQL):
Detected when consecutive swing highs/lows are within ATR threshold
Often indicates liquidity pools that price may sweep before reversing
5. ATR-Based Risk Management
Calculation:
ATR Band = ATR(14) ร Risk Multiplier (default 3%)
Stop Loss = Entry - ATR Band (for longs) or Entry + ATR Band (for shorts)
Take Profit Levels:
TP1 = Entry + (Entry - Stop Loss) ร 1
TP2 = Entry + (Entry - Stop Loss) ร 2
TP3 = Entry + (Entry - Stop Loss) ร 3
Dynamic Labels: Stop loss and take profit levels are automatically calculated and displayed as labels on the chart when new signals trigger.
6. Hull Moving Average Trend Cloud
HMA = WMA(2 ร WMA(Close, Period/2) - WMA(Close, Period), sqrt(Period))
Period = 600 bars (long-term trend)
The HMA provides a smoothed long-term trend reference that's more responsive than traditional moving averages while filtering out short-term noise.
HOW TO USE THE INDICATOR
Entry Signals
Primary Buy Signal:
SuperTrend changes to green (price crosses above)
ADX shows market is NOT ranging (bars are NOT purple)
Price is within or near a bullish Order Block OR bullish FVG
Cirrus Cloud shows green fill (Layer 1 > Layer 2)
Primary Sell Signal:
SuperTrend changes to red (price crosses below)
ADX shows market is NOT ranging
Price is within or near a bearish Order Block OR bearish FVG
Cirrus Cloud shows red fill (Layer 1 < Layer 2)
Confirmation Layers
Higher Probability Trades Include:
Bullish/Bearish BOS in the same direction as signal
Equal highs/lows being swept before entry
Price respecting premium/discount zones (above/below equilibrium)
Multiple timeframe alignment (use MTF settings)
Exit Strategy
The indicator provides three take-profit levels:
TP1: Conservative target (1:1 risk-reward)
TP2: Moderate target (2:1 risk-reward)
TP3: Aggressive target (3:1 risk-reward)
Suggested Exit Approach:
Close 1/3 position at TP1
Move stop to breakeven
Close 1/3 position at TP2
Trail remaining position or exit at TP3
Risk Management
Stop Loss:
Use the ATR-based stop loss level displayed on chart
Alternatively, use percentage-based stop (adjustable in settings)
Never risk more than 1-2% of account per trade
Position Sizing:
Position Size = (Account Risk $) / (Entry Price - Stop Loss Price)
CUSTOMIZABLE SETTINGS
Core Parameters
Buy/Sell Signals:
Toggle signals on/off
Adjust SuperTrend sensitivity (0.5 - 2.0)
Risk Management:
Show/hide TP/SL levels
ATR period (default: 14)
Risk percentage (default: 3%)
Number of decimal places for price labels
Trend Features:
Cirrus Cloud display toggle
Range filter periods (x1, x2, x3, x4)
Hull MA length for trend cloud
Smart Money Concepts:
Order Block settings (swing length, display count)
Fair Value Gap parameters (auto-threshold, extend length)
Structure detection (internal vs swing)
EQH/EQL threshold
ADX Settings:
ADX length (default: 15)
Sideways threshold (10-30, default: 15)
Bar color toggle
Display Options:
Previous day/week/month high/low levels
Premium/Discount/Equilibrium zones
Trend candle coloring (colored or monochrome)
BEST PRACTICES & TRADING TIPS
Optimal Use Cases
Scalping on lower timeframes (1m, 5m, 15m)
Rapid entry/exit with clear TP levels
ADX filter prevents choppy market entries
Day trading on medium timeframes (30m, 1H)
Stronger trend confirmation
Better risk-reward ratios
Swing trading entries on higher timeframes (4H, Daily)
Higher-probability structural setups
Larger ATR-based stops accommodate volatility
Market Conditions
Best Performance:
Trending markets with clear directional bias
Post-news volatility with defined structure
Markets respecting support/resistance levels
Avoid Trading When:
ADX indicator shows purple bars (ranging market)
Multiple conflicting signals across timeframes
Major news events without clear price structure
Low volume periods (market open/close)
Common Mistakes to Avoid
Ignoring the ADX filter - Taking signals during ranging markets leads to whipsaws
Not waiting for confirmation - Enter only when multiple layers align
Overtrading - Fewer high-quality setups outperform many mediocre ones
Ignoring risk management - Always use the calculated stop losses
Fighting the trend - Trade WITH the SuperTrend and Cirrus Cloud direction
TECHNICAL SPECIFICATIONS
Indicator Type: Overlay (plots on price chart)
Calculation Resources:
Max labels: 500
Max lines: 500
Max boxes: 500
Max bars back: 500
Pine Script Version: 5
Compatible Timeframes: All timeframes (optimized for 1m to 1D)
Compatible Instruments:
Forex pairs
Crypto assets
Stock indices
Individual stocks
Commodities
THEORETICAL FOUNDATION
Trend-Following Concepts
This indicator is based on the principle that markets trend more often than they range, and that trends tend to persist. The SuperTrend component captures this momentum while the range filters prevent premature entries during pullbacks.
Smart Money Theory
The SMC elements are based on the concept that institutional traders (banks, hedge funds) leave footprints in the form of:
Order Blocks: Areas where large orders were placed
Fair Value Gaps: Inefficient price movements that may be revisited
Liquidity Sweeps: Stop hunts before continuation (EQH/EQL)
Volatility-Based Position Sizing
Using ATR for stop-loss placement ensures that stop distances adapt to current market conditions:
Tight stops in low volatility (avoids excessive risk)
Wider stops in high volatility (avoids premature stop-outs)
PERFORMANCE EXPECTATIONS
Realistic Expectations
Win Rate:
Expected: 45-55% (trend-following systems rarely exceed 60%)
Higher win rates on trending days
Lower win rates during consolidation (even with ADX filter)
Risk-Reward Ratio:
Target: 1.5:1 minimum (TP2)
Achievable: 2:1 to 3:1 on strong trends
Drawdowns:
Normal: 10-15% of account during choppy periods
Maximum: Should not exceed 20% with proper risk management
Optimization Tips
Backtesting Recommendations:
Test on at least 1 year of historical data
Include different market conditions (trending, ranging, volatile)
Adjust SuperTrend sensitivity per instrument
Optimize ADX threshold for your specific market
Record trades to identify personal execution errors
FREQUENTLY ASKED QUESTIONS
Q: Can I use this for automated trading?
A: The indicator provides signals, but you'll need to code a strategy script separately for automation. The signals can trigger alerts that connect to trading bots.
Q: Why do I see conflicting signals?
A: This is normal during transition periods. Wait for all confirmation layers to align before entering.
Q: How often should I expect signals?
A: Depends on timeframe and market conditions. On 5m charts during trending markets: 3-7 quality setups per session.
Q: Can I use only some features?
A: Yes, all components can be toggled on/off. However, the system works best with all confirmations active.
Q: What's the difference between internal and swing structures?
A: Internal = minor price structures (smaller pivots). Swing = major price structures (larger pivots). Both provide different levels of confirmation.
DISCLAIMER
This indicator is a tool for technical analysis and should not be the sole basis for trading decisions. Past performance does not guarantee future results. Always:
Use proper risk management
Test on demo accounts first
Never risk more than you can afford to lose
Combine with fundamental analysis when applicable
Understand that no indicator is 100% accurate
License: Mozilla Public License 2.0
Author: DrFXGOD
VERSION HISTORY & UPDATES
Initial Release - Version 1.0
Integrated SuperTrend, Range Filters, ADX, SMC concepts
ATR-based risk management
Multi-timeframe support
Customizable visual elements
SUPPORT & DOCUMENTATION
For questions, suggestions, or bug reports, please comment on the script page or contact the author through TradingView.
Additional Resources:
Smart Money Concepts: Research ICT (Inner Circle Trader) materials
ATR and Volatility: Refer to Wilder's original ATR documentation
SuperTrend Indicator: Study original SuperTrend strategy papers
FVG [TakingProphets]๐ง Purpose
This indicator is built for traders applying Inner Circle Trader (ICT) methodology. It detects and manages Fair Value Gaps (FVGs) โ price imbalances that often act as future reaction zones. It also highlights New Day Opening Gaps (NDOGs) and New Week Opening Gaps (NWOGs) that frequently play a role in early-session price behavior.
๐ What is a Fair Value Gap?
A Fair Value Gap forms when price moves rapidly, skipping over a portion of the chart between three candles โ typically between the high of the first candle and the low of the third. These zones are considered inefficient, meaning institutions may return to them later to:
-Rebalance unfilled orders
-Enter or scale into positions
-Engineer liquidity with minimal slippage
In ICT methodology, FVGs are seen as both entry zones and targets, depending on market structure and context.
โ๏ธ How It Works
-This script automatically identifies and manages valid FVGs using the following logic:
-Bullish FVGs: When the low of the current candle is above the high from two candles ago
-Bearish FVGs: When the high of the current candle is below the body of two candles ago
-Minimum Gap Filter: Gaps must be larger than 0.05% of price
-Combine Consecutive Gaps (optional): Merges adjacent gaps of the same type
-Consequent Encroachment Line (optional): Plots the midpoint of each gap
-NDOG/NWOG Tracking: Labels gaps created during the 5โ6 PM session transition
-Automatic Invalidation: Gaps are removed once price closes beyond their boundary
๐ฏ Practical Use
-Use unmitigated FVGs as potential entry points or targets
-Monitor NDOG and NWOG for context around daily or weekly opens
-Apply the midpoint (encroachment) line for precise execution decisions
-Let the script handle cleanup โ only active, relevant zones remain visible
๐จ Customization
-Control colors for bullish, bearish, and opening gaps
-Toggle FVG borders and midpoint lines
-Enable or disable combining of consecutive gaps
-Fully automated zone management, no manual intervention required
โ
Summary
This tool offers a clear, rules-based approach to identifying price inefficiencies rooted in ICT methodology. Whether used for intraday or swing trading, it helps traders stay focused on valid, active Fair Value Gaps while filtering out noise and maintaining chart clarity.
FVG Radar [Mr_Rakun]The FVG Radar indicator is designed to automatically detect Fair Value Gaps (FVG) on your TradingView chart. It visually highlights bullish and bearish gaps with colored boxes and provides alerts when specific conditions are met.
How It Works
Fair Value Gap (FVG) Detection:
The script identifies gaps based on previous price action. A bullish FVG is recognized when there is a gap below a higher low candle, and a bearish FVG when there is a gap above a lower high candle.
Radar Area:
A yellow โRadar Areaโ box is drawn on the chart using upper and lower bands defined as a percentage above and below the current price. This area helps you visualize where the price is relative to these bands.
Alerts:
Alerts are triggered based on user-defined conditions:
When price crosses half of the gap (if the "Clear FVG When Price Reaches Half" option is enabled).
When price fully fills the gap (if the option is disabled).
The alert will only be activated after waiting a specified number of bars post-gap formation (as set by the "Wait X Bars After FVG Formation" parameter).
Input Parameters
Radar Upper Band (%):
Sets the upper threshold percentage relative to the current price for the radar area.
Radar Lower Band (%):
Sets the lower threshold percentage relative to the current price for the radar area.
Minimum FVG Size (%):
Determines the minimum size (as a percentage) for a gap to be recognized as a valid FVG.
Clear FVG When Price Reaches Half:
If enabled, the FVG will be cleared when the price reaches the midpoint of the gap. If disabled, the entire gap must be filled before it is cleared.
Wait X Bars After FVG Formation:
Specifies the number of bars to wait after an FVG is detected before triggering an alert. This delay helps to avoid premature alerts.
Bullish and Bearish FVG Colors and Opacity:
Customize the appearance of the FVG boxes for bullish (green) and bearish (red) gaps, including the opacity of these visual elements.
How to Use
Add the Indicator:
Load the FVG Radar indicator on your TradingView chart.
Customize Settings:
Adjust the input parameters based on your trading style and the marketโs volatility. The radar area settings help you set your own visual reference for price deviations.
Monitor the Chart:
Watch for the colored boxes that represent FVGs. The boxes will display the size of the gap as a percentage.
Respond to Alerts:
When an alert is triggered after the specified number of bars, it indicates that the price has interacted with the gap. Use this information to guide your trading decisions.
Tรผrkรงe --------------------------------------------
FVG Radar gรถstergesi, TradingView grafiฤinizde Fair Value Gap (FVG) โ yani adil deฤer boลluklarฤฑnฤฑ โ otomatik olarak tespit etmek iรงin tasarlanmฤฑลtฤฑr. Bu boลluklar, yรผkseliล ve dรผลรผล boลluklarฤฑnฤฑ farklฤฑ renkli kutularla vurgular ve belirli koลullar saฤlandฤฑฤฤฑnda uyarฤฑlar verir.
Nasฤฑl รalฤฑลฤฑr
Fair Value Gap (FVG) Tespiti:
Gรถsterge, รถnceki fiyat hareketlerine dayalฤฑ olarak boลluklarฤฑ belirler. Yรผkseliล boลluฤu, dรผลรผk seviyenin yukarฤฑdaki mumun altฤฑndaki boลlukla oluลtuฤu durumlarda; dรผลรผล boลluฤu ise, yรผksek seviyenin aลaฤฤฑdaki mumun รผstรผnde boลluk oluลtuฤunda tespit edilir.
Radar Alanฤฑ:
Grafikte, mevcut fiyata gรถre belirlenen รผst ve alt yรผzde bantlarฤฑna dayalฤฑ olarak sarฤฑ renkte โRadar Alanฤฑโ kutusu รงizilir. Bu alan, fiyatฤฑn bu bantlara gรถre nerede olduฤunu gรถrsel olarak anlamanฤฑza yardฤฑmcฤฑ olur.
Uyarฤฑlar:
Kullanฤฑcฤฑnฤฑn belirlediฤi koลullara gรถre uyarฤฑlar verilir:
Fiyat, boลluฤun yarฤฑsฤฑna ulaลtฤฑฤฤฑnda (eฤer "FVG'nin yarฤฑsฤฑna ulaลtฤฑฤฤฑnda temizle" seรงeneฤi etkinse).
Fiyat boลluฤu tamamen doldurduฤunda (seรงenek devre dฤฑลฤฑ bฤฑrakฤฑldฤฑฤฤฑnda).
Uyarฤฑ, boลluk oluลumundan sonra belirlenen bar sayฤฑsฤฑ kadar bekledikten sonra tetiklenir ("FVG Oluลumundan Sonra X Bar Bekle" parametresi).
Giriล Parametreleri
Radar Upper Band (%):
Mevcut fiyata gรถre radar alanฤฑ iรงin รผst eลik yรผzdesini ayarlar.
Radar Lower Band (%):
Mevcut fiyata gรถre radar alanฤฑ iรงin alt eลik yรผzdesini ayarlar.
Minimum FVG Size (%):
Bir boลluฤun geรงerli bir FVG olarak tanฤฑnabilmesi iรงin gereken minimum boyutu (yรผzde olarak) belirler.
FVG'nin yarฤฑsฤฑna ulaลtฤฑฤฤฑnda temizle:
Etkinse, fiyat boลluฤun orta noktasฤฑna ulaลtฤฑฤฤฑnda boลluk temizlenir. Devre dฤฑลฤฑ bฤฑrakฤฑlฤฑrsa, boลluฤun tamamen doldurulmasฤฑ gerekir.
FVG Oluลumundan Sonra X Bar Bekle:
Bir FVG tespit edildikten sonra uyarฤฑ tetiklenmeden รถnce beklenmesi gereken bar sayฤฑsฤฑnฤฑ belirler. Bu gecikme, erken uyarฤฑlarฤฑn รถnรผne geรงmeyi amaรงlar.
Yรผkseliล ve Dรผลรผล FVG Renkleri ve Opaklฤฑk:
Yรผkseliล boลluklarฤฑ (yeลil) ve dรผลรผล boลluklarฤฑ (kฤฑrmฤฑzฤฑ) iรงin kutularฤฑn gรถrรผnรผmรผnรผ ve opaklฤฑฤฤฑnฤฑ รถzelleลtirmenize olanak tanฤฑr.
Nasฤฑl Kullanฤฑlฤฑr
Gรถstergeyi Ekleyin:
FVG Radar gรถstergesini TradingView grafiฤinize ekleyin.
Ayarlarฤฑ รzelleลtirin:
Ticaret tarzฤฑnฤฑza ve piyasanฤฑn oynaklฤฑฤฤฑna gรถre giriล parametrelerini ayarlayฤฑn. Radar alanฤฑ ayarlarฤฑ, fiyat sapmalarฤฑnฤฑ kendi gรถrsel referansฤฑnฤฑzla tanฤฑmlamanฤฑza yardฤฑmcฤฑ olur.
Grafiฤi ฤฐzleyin:
FVGโleri temsil eden renkli kutularฤฑ takip edin. Kutular, boลluฤun yรผzdelik bรผyรผklรผฤรผnรผ gรถsterecektir.
Uyarฤฑlara Tepki Verin:
Belirlenen bar sayฤฑsฤฑ sonrasฤฑnda tetiklenen uyarฤฑ, fiyatฤฑn boลluk ile etkileลime girdiฤini gรถsterir. Bu bilgiyi, ticaret kararlarฤฑnฤฑzฤฑ yรถnlendirmek iรงin kullanฤฑn.
Son Model ICT [TradingFinder] HTF DOL H1 + Sweep M15 + FVG M1๐ต Introduction
The ICT Son Model setup is a precise trading strategy based on market structure and liquidity, implemented across multiple timeframes. This setup first identifies a liquidity level in the 1-hour (1H) timeframe and then confirms a Market Structure Shift (MSS) in the 5-minute (5M) timeframe to validate the trend. After confirmation, the price forms a new swing in the 5-minute timeframe, absorbing liquidity.
Once this level is broken, traders typically drop to the 30-second (30s) timeframe and enter trades based on a Fair Value Gap (FVG). However, since access to the 30-second timeframe is not available to most traders, we take the entry signal directly from the 5-minute timeframe, using the same liquidity zones and confirmed breakouts to execute trades. This approach simplifies execution and makes the strategy accessible to all traders.
This model operates in two setups :
Bullish ICT Son Model and Bearish ICT Son Model. In the bullish setup, liquidity is first accumulated at the lows of the 1-hour timeframe, and after confirming a market structure shift, a long position is initiated. Conversely, in the bearish setup, liquidity is first drawn from higher levels, and upon confirmation of a bearish trend, a short position is executed.
Bullish Setup :
Bearish Setup :
๐ต How to Use
The ICT Son Model setup is designed around liquidity analysis and market structure shifts and can be applied in both bullish and bearish market conditions. The strategy first identifies a liquidity level in the 1-hour (1H) timeframe and then confirms a Market Structure Shift (MSS) in the 5-minute (5M) timeframe.
After this shift, the price forms a new swing, absorbing liquidity. When this level is broken in the 5-minute timeframe, the trader enters based on a Fair Value Gap (FVG). While the ideal entry is in the 30-second (30s) timeframe, due to accessibility constraints, we take entry signals directly from the 5-minute timeframe.
๐ฃ Bullish Setup
In the Bullish ICT Son Model, the 1-hour timeframe first identifies liquidity at the market lows, where price sweeps this level to absorb liquidity. Then, in the 5-minute timeframe, an MSS confirms the bullish shift.
After confirmation, the price forms a new swing, absorbing liquidity at a higher level. The price then retraces into a Fair Value Gap (FVG) created in the 5-minute timeframe, where the trader enters a long position, placing the stop-loss below the FVG.
๐ฃ Bearish Setup
In the Bearish ICT Son Model, liquidity at higher market levels is identified in the 1-hour timeframe, where price sweeps these levels to absorb liquidity. Then, in the 5-minute timeframe, an MSS confirms the bearish trend.
After confirmation, the price forms a new swing, absorbing liquidity at a lower level. The price then retraces into a Fair Value Gap (FVG) created in the 5-minute timeframe, where the trader enters a short position, placing the stop-loss above the FVG.
๐ต 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.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG 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 Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
๐ต Conclusion
The ICT Son Model setup is a structured and precise method for trade execution based on liquidity analysis and market structure shifts. This strategy first identifies a liquidity level in the 1-hour timeframe and then confirms a trend shift using the 5-minute timeframe.
Trade entries are executed based on Fair Value Gaps (FVGs), which highlight optimal entry points. By applying this model, traders can leverage existing market liquidity to enter high-probability trades. The bullish setup activates when liquidity is swept from market lows and a market structure shift confirms an upward trend, whereas the bearish setup is used when liquidity is drawn from market highs, confirming a downtrend.
This approach enables traders to identify high-probability trade setups with greater precision compared to many other strategies. Additionally, since access to the 30-second timeframe is limited, the strategy remains fully functional in the 5-minute timeframe, making it more practical and accessible for a wider range of traders.
Twitter Model ICT [TradingFinder] MMXM ERL D + FVG + M15 MSS/SMT๐ต Introduction
The Twitter Model ICT is a trading approach based on ICT (Inner Circle Trader) models, focusing on price movement between external and internal liquidity in lower timeframes. This model integrates key concepts such as Market Structure Shift (MSS), Smart Money Technique (SMT) divergence, and CISD level break to identify precise entry points in the market.
The primary goal of this model is to determine key liquidity levels, such as the previous dayโs high and low (PDH/PDL) and align them with the Fair Value Gap (FVG) in the 1-hour timeframe. The overall strategy involves framing trades around the 1H FVG and using the M15 Market Structure Shift (MSS) for entry confirmation.
The Twitter Model ICT is designed to utilize external liquidity levels, such as PDH/PDL, as key entry zones. The model identifies FVG in the 1-hour timeframe, which acts as a magnet for price movement. Additionally, traders confirm entries using M15 Market Structure Shift (MSS) and SMT divergence.
Bullish Twitter Model :
In a bullish setup, the price sweeps the previous dayโs low (PDL), and after confirming reversal signals, buys are executed in internal liquidity zones. Conversely, in a bearish setup, the price sweeps the previous dayโs high (PDH), and after confirming weakness signals, sells are executed.
Bearish Twitter Model :
In short setups, entries are only executed above the Midnight Open, while in long setups, entries are taken below the Midnight Open. Adhering to these principles allows traders to define precise entry and exit points and analyze price movement with greater accuracy based on liquidity and market structure.
๐ต How to Use
The Twitter Model ICT is a liquidity-based trading strategy that analyzes price movements relative to the previous dayโs high and low (PDH/PDL) and Fair Value Gap (FVG). This model is applicable in both bullish and bearish directions and utilizes the 1-hour (1H) and 15-minute (M15) timeframes for entry confirmation.
The price first sweeps an external liquidity level (PDH or PDL) and then provides an entry opportunity based on Market Structure Shift (MSS) and SMT divergence. Additionally, the entry should be positioned relative to the Midnight Open, meaning long entries should occur below the Midnight Open and short entries above it.
๐ฃ Bullish Twitter Model
In a bullish setup, the price first sweeps the previous dayโs low (PDL) and reaches an external liquidity level. Then, in the 1-hour timeframe (1H), a bullish Fair Value Gap (FVG) forms, which serves as the price target.
To confirm the entry, a Market Structure Shift (MSS) in the 15-minute timeframe (M15) should be observed, signaling a trend reversal to the upside. Additionally, SMT divergence with correlated assets can indicate weakness in selling pressure.
Under these conditions, a long position is taken below the Midnight Open, with a stop-loss placed at the lowest point of the recent bearish move. The price target for this trade is the FVG in the 1-hour timeframe.
๐ฃ Bearish Twitter Model
In a bearish setup, the price first sweeps the previous dayโs high (PDH) and reaches an external liquidity level. Then, in the 1-hour timeframe (1H), a bearish Fair Value Gap (FVG) is identified, serving as the trade target.
To confirm entry, a Market Structure Shift (MSS) in the 15-minute timeframe (M15) should form, signaling a trend shift to the downside. If an SMT divergence is present, it can provide additional confirmation for the trade.
Once these conditions are met, a short position is taken above the Midnight Open, with a stop-loss placed at the highest level of the recent bullish move. The trade's price target is the FVG in the 1-hour timeframe.
๐ต 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.
Daily Position : Determines whether only the first signal of the day is considered or if signals are evaluated throughout the entire day.
Session : Specifies in which trading sessions the indicator will be active.
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.
The indicator allows displaying sessions based on various time zones. The user can select one of the following options :
UTC (Coordinated Universal Time)
Local Time of the Session
Userโs Local Time
Show Open Price : Displays the New York market opening price.
Show PDH / PDL : Displays the previous dayโs high and low to identify potential entry points.
Show SMT Divergence : Displays lines and labels for bullish ("+SMT") and bearish ("-SMT") divergences.
๐ต Conclusion
The Twitter Model ICT is an effective approach for analyzing and executing trades in financial markets, utilizing a combination of liquidity principles, market structure, and SMT confirmations to identify optimal entry and exit points.
By analyzing the previous dayโs high and low (PDH/PDL), Fair Value Gaps (FVG), and Market Structure Shift (MSS) in the 1H and M15 timeframes, traders can pinpoint liquidity-driven trade opportunities. Additionally, considering the Midnight Open level helps traders avoid random entries and ensures better trade placement.
By applying this model, traders can interpret market movements based on liquidity flow and structural changes, allowing them to fine-tune their trading decisions with higher precision. Ultimately, the Twitter Model ICT provides a structured and logical approach for traders who seek to trade based on liquidity behavior and trend shifts in the market.
Cumulative Volume Delta Strategy | Flux Charts๐ GENERAL OVERVIEW
Introducing the Cumulative Volume Delta Strategy (CVDS) Indicator, an advanced tool designed to enhance trading strategies by identifying potential trend reversals through volume dynamics. This script features integrated order block detection, Fair Value Gaps (FVGs), and a dynamic take-profit (TP) and stop-loss (SL) system. For an in-depth understanding of the strategy, refer to the "HOW DOES IT WORK?" section below.
Features of the new Cumulative Volume Delta Strategy (CVDS) Indicator :
Cumulative Volume Delta-based Strategy
Order Block and Fair Value Gap (FVG) Entry Methods
Dynamic TP/SL System
Customizable Risk Management Settings
Alerts for Buy, Sell, TP, and SL Signals
๐ HOW DOES IT WORK ?
The CVDS indicator operates by tracking the net volume difference between buyers and sellers to identify divergences that could indicate potential trend reversals. A cumulative volume delta (CVD) calculation is employed to measure the intensity of these divergences in relation to price movements. The net volume sum is reset every trading day (can be changed from the settings using the anchor period option), and divergences are detected when the cumulative volume crosses the 0-line over or under.
Once a significant divergence is detected, the indicator identifies breakout points, confirmed by either Fair Value Gaps (FVGs) or Order Blocks (OBs). Depending on your chosen entry mode, the indicator will trigger a buy or sell entry when the confirmation signal aligns with the breakout direction. Alerts for Buy, Sell, Take-Profit, and Stop-Loss are available.
Note that the indicator cannot run on 1-minute and 1-second charts, as it needs to get data from a lower timeframe. 1-minutes & 1-second timeframes are the minimum timeframes in their ranges respectively.
๐ฉ UNIQUENESS
What sets this indicator apart is the combination of volume divergence analysis with advanced price action tools like Fair Value Gaps (FVGs) and Order Blocks (OBs). The ability to choose between these methods, along with a dynamic TP/SL system that adapts based on volatility, provides flexibility for traders in any market condition. The backtesting dashboard provides metrics about the performance of the indicator. You can use it to tune the settings for best use in the current ticker. The CVD-based strategy ensures that trades are initiated only when meaningful divergences between volume and price occur, filtering out noise and increasing the likelihood of profitable trades.
โ๏ธ SETTINGS
1. General Configuration
Anchor Period: Time anchor period used in CVD calculation. This is essentially the period that the volume delta sum will be reset. Lower timeframes may result in more entries at the cost of less reliable results.
Entry Mode: Choose between FVGs or OBs to trigger your entries based on the confirmation signals.
Retracement Requirement: Enable to confirm the entry after a retracement toward the FVG or OB.
2. Fair Value Gaps
FVG Sensitivity: Modify the sensitivity of FVG detection, allowing for more or fewer gaps to be considered valid.
3. Order Blocks (OB)
Swing Length: Define the swing length to identify OB formations. Shorter lengths find smaller OBs, while longer lengths detect larger structures.
4. TP / SL
TP / SL Method:
a) Dynamic: The TP / SL zones will be auto-determined by the algorithm based on the Average True Range (ATR) of the current ticker.
b) Fixed : You can adjust the exact TP / SL ratios from the settings below.
Dynamic Risk: The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
GEEKSDOBYTE IFVG w/ Buy/Sell Signals1. Inputs & Configuration
Swing Lookback (swingLen)
Controls how many bars on each side are checked to mark a swing high or swing low (default = 5).
Booleans to Toggle Plotting
showSwingsโโ Show small triangle markers at swing highs/lows
showFVGโโ Show Fair Value Gap zones
showSignalsโโ Show โBUYโ/โSELLโ labels when price inverts an FVG
showDDLineโโ Show a yellow โDDโ line at the close of the inversion bar
showCEโโ Show an orange dashed โCEโ line at the midpoint of the gap area
2. Swing High / Low Detection
isSwingHigh = ta.pivothigh(high, swingLen, swingLen)
Marks a bar as a swing high if its high is higher than the highs of the previous swingLen bars and the next swingLen bars.
isSwingLow = ta.pivotlow(low, swingLen, swingLen)
Marks a bar as a swing low if its low is lower than the lows of the previous and next swingLen bars.
Plotting
If showSwings is true, small red downward triangles appear above swing highs, and green upward triangles below swing lows.
3. Fair Value Gap (3โBar) Identification
A Fair Value Gap (FVG) is defined here using a simple threeโbar logic (sometimes called an โinefficiencyโ in price):
Bullish FVG (bullFVG)
Checks if, two bars ago, the low of that bar (low ) is strictly greater than the current barโs high (high).
In other words:
bullFVG = low > high
Bearish FVG (bearFVG)
Checks if, two bars ago, the high of that bar (high ) is strictly less than the current barโs low (low).
In other words:
bearFVG = high < low
When either condition is true, it identifies a threeโbar โgapโ or unfilled imbalance in the market.
4. Drawing FVG Zones
If showFVG is enabled, each time a bullish or bearish FVG is detected:
Bullish FVG Zone
Draws a semiโtransparent green box from the bar two bars ago (where the gap began) at low up to the current barโs high.
Bearish FVG Zone
Draws a semiโtransparent red box from the bar two bars ago at high down to the current barโs low.
These colored boxes visually highlight the โfair value imbalanceโ area on the chart.
5. Inversion (Fill) Detection & Entry Signals
An inversion is defined as the price โclosing throughโ that previously drawn FVG:
Bullish Inversion (bullInversion)
Occurs when a bullish FVG was identified on bar-2 (bullFVG), and on the current bar the close is greater than that old bar-2 low:
bullInversion = bullFVG and close > low
Bearish Inversion (bearInversion)
Occurs when a bearish FVG was identified on bar-2 (bearFVG), and on the current bar the close is lower than that old bar-2 high:
bearInversion = bearFVG and close < high
When an inversion is true, the indicator optionally draws two lines and a label (depending on input toggles):
Draw โDDโ Line (yellow, solid)
Plots a horizontal yellow line from the current barโs close price extending five bars forward (bar_index + 5). This is often referred to as a โDemand/Daily Demandโ line, marking where price inverted the gap.
Draw โCEโ Line (orange, dashed)
Calculates the midpoint (ce) of the original FVG zone.
For a bullish inversion:
ce = (low + high) / 2
For a bearish inversion:
ce = (high + low) / 2
Plots a horizontal dashed orange line at that midpoint for five bars forward.
Plot Label (โBUYโ / โSELLโ)
If showSignals is true, a green โBUYโ label is placed at the low of the current bar when a bullish inversion occurs.
Likewise, a red โSELLโ label at the high of the current bar when a bearish inversion happens.
6. Putting It All Together
Swing Markers (Optional):
Visually confirm recent swing highs and swing lows with small triangles.
FVG Zones (Optional):
Highlight areas where price left a 3-bar gap (bullish in green, bearish in red).
Inversion Confirmation:
Wait for price to close beyond the old FVG boundary.
Once that happens, draw the yellow โDDโ line at the close, the orange dashed โCEโ line at the zoneโs midpoint, and place a โBUYโ or โSELLโ label exactly on that bar.
User Controls:
All of the above elements can be individually toggled on/off (showSwings, showFVG, showSignals, showDDLine, showCE).
In Practice
A bullish FVG forms whenever a strong drop leaves a gap in liquidity (three bars ago low > current high).
When price later โfillsโ that gap by closing above the old low, the script signals a potential long entry (BUY), draws a demand line at the closing price, and marks the midpoint of that gap.
Conversely, a bearish FVG marks a potential short zone (three bars ago high < current low). When price closes below that gapโs high, it signals a SELL, with similar lines drawn.
By combining these elements, the indicator helps users visually identify inefficiencies (FVGs), confirm when price inverts/fills them, and place straightforward buy/sell labels alongside reference lines for trade management.
