PRO SMC Full Suite BY MashrurโPRO SMC Full Suite BY Mashrurโ
A Pine Script (v5) indicator for TradingView, focused on Smart Money Concepts (SMC). It overlays on price charts and provides visual tools for identifying key institutional trading behaviors.
๐ฏ Purpose
This script is designed to help traders analyze and trade using SMC principles by automatically detecting:
Order Blocks (OBs)
Fair Value Gaps (FVGs)
Breaks of Structure (BoS)
Liquidity Sweeps (Buy/Sell Side Liquidity Grabs)
Mitigation Entries
โ๏ธ Inputs / Settings
Show Fair Value Gaps: Toggle FVGs on/off
Higher Timeframe (HTF): Choose HTF for OB analysis
Use HTF OBs: Switch between current TF OBs and HTF OBs
Show Order Blocks: Toggle OBs on/off
Show OB Mitigation Entries: Toggle mitigation entry signals on/off
๐ง Core Logic Overview
๐น 1. Swing Points Detection
Identifies swing highs/lows using a 3-bar pattern (pivot-based structure).
๐น 2. Break of Structure (BoS)
A bullish BoS happens when price closes above the last swing high.
A bearish BoS occurs when price closes below the last swing low.
๐น 3. Order Block Detection
Upon BoS, the script marks the previous candle as the Order Block.
Uses either:
Current TF OBs (based on price action)
HTF OBs (based on candle body direction)
๐น 4. Mitigation Entry Logic
A mitigation occurs when price returns to the OB and reacts with confirmation:
Bullish: price dips into OB and closes above
Bearish: price wicks into OB and closes below
Plots entry markers for these mitigations.
๐น 5. Liquidity Sweeps
Detects equal highs/lows (liquidity zones)
Marks Buy SL when price dips below an equal low then closes above
Marks Sell SL when price breaks above an equal high then closes below
๐น 6. Fair Value Gaps (FVGs)
FVG Up: Gap between candle 3 and candle 1 (low > high )
FVG Down: Gap between candle 3 and candle 1 (high < low )
Plots highlighted boxes on these gaps
๐ Visual Elements
Boxes: For OB zones and FVGs
Shapes:
Labels: OB Buy/Sell entries
Triangles: Buy SL / Sell SL liquidity sweeps
Lines: Equal Highs and Lows
๐ Alerts
Built-in alerts to notify when:
OB entries are confirmed
Liquidity sweeps happen
Helps in automation or active monitoring
โ
Ideal For
Traders using SMC, ICT concepts, Wyckoff, or institutional trading models
Anyone wanting to automate detection of structural elements on their chart
Search in scripts for "order block"
Wyckoff Range Detector [Beta] + Smart Money ElementsThis indicator detects the key phases of the Wyckoff market structure and integrates smart money elements, such as Order Blocks (OB), Fair Value Gaps (FVG), and Breaker Blocks. It also helps identify potential reversal zones (LPS, UTAD, Spring), breakout opportunities, and provides automatic Risk-Reward (R:R) calculations.
Key Features:
Wyckoff Phases Detection:
Automatically detects key phases of Wyckoff's market structure:
B (Range) โ The initial range of accumulation.
C (Spring Phase) โ Accumulation phase with a potential breakout.
C (UTAD Phase) โ Upthrust After Distribution, indicating a potential reversal.
D (LPS Phase) โ Last Point of Support, signaling accumulation before a breakout.
E (Breakout) โ Phase marking breakout from range.
Re-Accumulation โ Possible continuation in the range after a breakout.
Re-Distribution โ Possible breakdown of a distribution phase.
Smart Money Elements:
Order Blocks (OB): Identifies Bullish and Bearish OBs to anticipate market entries.
Fair Value Gap (FVG): Highlights imbalance areas where price is likely to return.
Breaker Blocks: Marks areas where the price has previously broken a structure, indicating strong supply/demand zones.
Automatic Risk-Reward Calculation:
Smart RR: Automatically calculates Risk-Reward (R:R) ratios from LPS phases and Order Blocks. It draws lines to indicate target and stop levels with green for the target and red for the stop.
Visual representation of the entry signal with target and stop levels displayed.
Alerts:
Set alerts for phase changes, breakout, re-accumulation, or re-distribution to stay updated on the marketโs movements.
Visual Tools:
Labels are used to indicate key zones such as AR, SC, LPS, and Spring Zones.
Draw boxes for the Spring and LPS phases to highlight areas where price action is likely to reverse.
Lines to represent potential breakouts, with customizable risk-reward indicators.
How to Use:
Apply the Indicator on any chart.
Identify Wyckoff phases to understand market trends.
Monitor Smart Money Elements (OB, FVG, Breaker) for entry and exit points.
Use automatic Risk-Reward levels for managing trades.
Set alerts for various Wyckoff phases and smart money signals to stay updated.
One Trading Setup for Life ICT [TradingFinder] Sweep Session FVG๐ต Introduction
ICT One Trading Setup for Life is a trading strategy based on liquidity and market structure shifts, utilizing the PM Session Sweep to determine price direction. In this strategy, the market first forms a price range during the PM Session (from 13:30 to 16:00 EST), which includes the highest high (PM Session High) and lowest low (PM Session Low).
In the next session, the price first touches one of these levels to trigger a Liquidity Hunt before confirming its trend by breaking the Change in State of Delivery (CISD) Level. After this confirmation, the price retraces toward a Fair Value Gap (FVG) or Order Block (OB), which serve as the best entry points in alignment with liquidity.
In financial markets, liquidity is the primary driver of price movement, and major market participants such as institutional investors and banks are constantly seeking liquidity at key levels. This process, known as Liquidity Hunt or Liquidity Sweep, occurs when the price reaches an area with a high concentration of orders, absorbs liquidity, and then reverses direction.
In this setup, the PM Session range acts as a trading framework, where its highs and lows function as key liquidity zones that influence the next sessionโs price movement. After the New York market opens at 9:30 EST, the price initially breaks one of these levels to capture liquidity.
However, for a trend shift to be confirmed, the CISD Level must be broken.
Once the CISD Level is breached, the price retraces toward an FVG or OB, which serve as optimal trade entry points.
Bullish Setup :
Bearish Setup :
๐ต How to Use
In this strategy, the PM Session range is first identified, which includes the highest high (PM Session High) and lowest low (PM Session Low) between 13:30 and 16:00 EST. In the following session, the price touches one of these levels for a Liquidity Hunt, followed by a break of the Change in State of Delivery (CISD) Level. The price then retraces toward a Fair Value Gap (FVG) or Order Block (OB), creating a trading opportunity.
This process can occur in two scenarios : bearish and bullish setups.
๐ฃ Bullish Setup
In a bullish scenario, the PM Session High and PM Session Low are identified. In the following session, the price first breaks the PM Session Low, absorbing liquidity. This process results in a Fake Breakout to the downside, misleading retail traders into taking short positions.
After the Liquidity Hunt, the CISD Level is broken, confirming a trend reversal. The price then retraces toward an FVG or OB, offering an optimal long entry opportunity.
The initial take-profit target is the PM Session High, but if higher timeframe liquidity levels exist, extended targets can be set.
The stop-loss should be placed below the Fake Breakout low or the first candle of the FVG.
๐ฃ Bearish Setup
In a bearish scenario, the market first defines its PM Session High and PM Session Low. In the next session, the price initially breaks the PM Session High, triggering a Liquidity Hunt. This movement often causes a Fake Breakout, misleading retail traders into taking incorrect positions.
After absorbing liquidity, the CISD Level breaks, indicating a shift in market structure. The price then retraces toward an FVG or OB, offering the best short entry opportunity.
The initial take-profit target is the PM Session Low, but if additional liquidity exists on higher timeframes, lower targets can be considered.
The stop-loss should be placed above the Fake Breakout high or the first candle of the FVG.
๐ต Setting
CISD Bar Back Check : 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.
Order Block Validity : The number of candles that determine the validity of an Order Block.
FVG Validity : The duration for which a Fair Value Gap remains valid.
CISD Level Validity : The duration for which a CISD Level remains valid after being broken.
New York PM Session : Defines the PM Session range from 13:30 to 16:00 EST.
New York AM Session : Defines the AM Session range from 9:30 to 16:00 EST.
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.
Demand Order Block : Enables or disables bullish Order Block.
Supply Order Block : Enables or disables bearish Order Blocks.
Demand FVG : Enables or disables bullish FVG.
Supply FVG : Enables or disables bearish FVGs.
Show All CISD : Enables or disables the display of all CISD Levels.
Show High CISD : Enables or disables high CISD levels.
Show Low CISD : Enables or disables low CISD levels.
๐ต Conclusion
The ICT One Trading Setup for Life is a liquidity-based strategy that leverages market structure shifts and precise entry points to identify high-probability trade opportunities. By focusing on PM Session High and PM Session Low, this setup first captures liquidity at these levels and then confirms trend shifts with a break of the Change in State of Delivery (CISD) Level.
Entering a trade after a retracement to an FVG or OB allows traders to position themselves at optimal liquidity levels, ensuring high reward-to-risk trades. When used in conjunction with higher timeframe bias, order flow, and liquidity analysis, this strategy can become one of the most effective trading methods within the ICT Concept framework.
Successful execution of this setup requires risk management, patience, and a deep understanding of liquidity dynamics. Traders can enhance their confidence in this strategy by conducting extensive backtesting and analyzing past market data to optimize their approach for different assets.
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.
MTF OB Supply Demand ZonesHello everyone,
This exceptional indicator provides you with visual representations of bullish and bearish order blocks or supply and demand zones across multiple timeframes. In simple terms, bullish order blocks are represented by a small red candle followed by a large red candle, while bearish order blocks are depicted as a small green candle followed by a large red candle. Supply and demand zones are drawn by using order blocks.
Features:
Display order blocks from up to three different timeframes.
Customize the maximum number of boxes shown and the colors of the zones.
Choose from three different modes: OB (Order Block), Extended OB, and Supply/Demand.
Mode Descriptions:
OB: Includes the body of the candle.
Extended OB: Encompasses the body and wick of the candle.
Supply/Demand: Covers the body, wick, and half the body of the large candle.
Usage:
Ensure that charts 2 and 3 are set to a higher timeframe. For modes 2 and 3, itโs recommended to reduce the maximum number of boxes shown. The zones or boxes are transparent, allowing for overlap. This feature aids in identifying reversal zones or confirmed zones. The more intense the color, the stronger the confirmation. If a green zone overlaps a red zone (or vice versa), it signifies a reversal zone.
Thank you for checking out this indicator!
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Additional Information:
Order blocks refer to specific price areas where large market participants, such as institutional traders, have previously placed significant buy or sell orders. These clusters of orders can impact price movement, liquidity, and market sentiment.
Order blocks are a strategic approach to identifying key levels of support and resistance based on the behavior of institutional traders. These key levels are then utilized as entry or exit points for trades.
An order block is an area where there has been a large concentration of limit orders awaiting execution. These blocks are identified on a chart by observing previous price action and pinpointing areas where the price experienced significant movement or abrupt changes in direction.
Order blocks are used in the following popular trading philosophies:
Smart Money Concepts (SMC)
Inner Circle Trading (ICT)
Price Action
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Credits to: @AGFXTRADING
02 SMC + BB Breakout (Improved)This strategy combines Smart Money Concepts (SMC) with Bollinger Band breakouts to identify potential trading opportunities. SMC focuses on identifying key price levels and market structure shifts, while Bollinger Bands help pinpoint overbought/oversold conditions and potential breakout points. The strategy also incorporates higher timeframe trend confirmation to filter out trades that go against the prevailing trend.
Key Components:
Bollinger Bands:
Calculated using a Simple Moving Average (SMA) of the closing price and a standard deviation multiplier.
The strategy uses the upper and lower bands to identify potential breakout points.
The SMA (basis) acts as a centerline and potential support/resistance level.
The fill between the upper and lower bands can be toggled by the user.
Higher Timeframe Trend Confirmation:
The strategy allows for optional confirmation of the current trend using a higher timeframe (e.g., daily).
It calculates the SMA of the higher timeframe's closing prices.
A bullish trend is confirmed if the higher timeframe's closing price is above its SMA.
This helps filter out trades that go against the prevailing long-term trend.
Smart Money Concepts (SMC):
Order Blocks:
Simplified as recent price clusters, identified by the highest high and lowest low over a specified lookback period.
These levels are considered potential areas of support or resistance.
Liquidity Zones (Swing Highs/Lows):
Identified by recent swing highs and lows, indicating areas where liquidity may be present.
The Swing highs and lows are calculated based on user defined lookback periods.
Market Structure Shift (MSS):
Identifies potential changes in market structure.
A bullish MSS occurs when the closing price breaks above a previous swing high.
A bearish MSS occurs when the closing price breaks below a previous swing low.
The swing high and low values used for the MSS are calculated based on the user defined swing length.
Entry Conditions:
Long Entry:
The closing price crosses above the upper Bollinger Band.
If higher timeframe confirmation is enabled, the higher timeframe trend must be bullish.
A bullish MSS must have occurred.
Short Entry:
The closing price crosses below the lower Bollinger Band.
If higher timeframe confirmation is enabled, the higher timeframe trend must be bearish.
A bearish MSS must have occurred.
Exit Conditions:
Long Exit:
The closing price crosses below the Bollinger Band basis.
Or the Closing price falls below 99% of the order block low.
Short Exit:
The closing price crosses above the Bollinger Band basis.
Or the closing price rises above 101% of the order block high.
Position Sizing:
The strategy calculates the position size based on a fixed percentage (5%) of the strategy's equity.
This helps manage risk by limiting the potential loss per trade.
Visualizations:
Bollinger Bands (upper, lower, and basis) are plotted on the chart.
SMC elements (order blocks, swing highs/lows) are plotted as lines, with user-adjustable visibility.
Entry and exit signals are plotted as shapes on the chart.
The Bollinger band fill opacity is adjustable by the user.
Trading Logic:
The strategy aims to capitalize on Bollinger Band breakouts that are confirmed by SMC signals and higher timeframe trend. It looks for breakouts that align with potential market structure shifts and key price levels (order blocks, swing highs/lows). The higher timeframe filter helps avoid trades that go against the overall trend.
In essence, the strategy attempts to identify high-probability breakout trades by combining momentum (Bollinger Bands) with structural analysis (SMC) and trend confirmation.
Key User-Adjustable Parameters:
Bollinger Bands Length
Standard Deviation Multiplier
Higher Timeframe
Higher Timeframe Confirmation (on/off)
SMC Elements Visibility (on/off)
Order block lookback length.
Swing lookback length.
Bollinger band fill opacity.
This detailed description should provide a comprehensive understanding of the strategy's logic and components.
***DISCLAIMER: This strategy is for educational purposes only. It is not financial advice. Past performance is not indicative of future results. Use at your own risk. Always perform thorough backtesting and forward testing before using any strategy in live trading.***
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.
Weighted Volume Profile Pivot Points | Flux Charts๐ GENERAL OVERVIEW
Introducing our new Weighted Volume Profile Pivot Points (WVPPP) Indicator! This indicator renders a volume profile using the latest pivot points, automatically adjusting itself when new pivots occur. The pivoting mode can be switched between default pivot points and order blocks mode. It can be adjusted to give more weight to recent or past candlesticks, or can be used as a normal volume profile. For more information, please read the full write-up.
Features of the new Weighted Volume Profile Pivot Points (WVPPP) Indicator :
Renders Volume Profile Of The Range Between Latest Pivots
Two Pivoting Modes Including Order Blocks Mode
Adjustable Weighthing Towards Past or Recent
Customizable Row Count & Maximum Distance
Left or Right Alignment
More Styling Options
๐ฉUNIQUENESS
This indicator stands out with two key features. One is it's ability to weight volumes based on their distance to the current time. Giving weight to volumes may offer new trading opportunities to traders as they can now see the most recent Point Of Control (POC) or a more powerful but past POC based on their choice. Another key feature the indicator has is that it automatically finds latest valid pivot points, and uses that range for the volume profile. The range changes dynamically as new pivots points emerge. You can select between normal pivot points and order blocks mode. The indicator also has a variety of useful styling settings such as aligning the volume profile to the right or the left of the chart, POC Line styling and color settings for bullish & bearish volumes.
๐ HOW DOES IT WORK ?
A volume profile provides an in-depth look at trading activity over a period of time by plotting a histogram on the price axis. This indicator can also give weight to volumes based on their distance to the current time, essentially determining their importance for the profile. The range which the volume profile will cover is determined by the latest pivot points. Here is how it works step-by-step :
1. Determine how much candlesticks the volume profile will cover (Analyze Bars setting)
2. Find the latest pivot points. If the mode is set to "Pivots", the pivot points are the candlesticks which has the highest / lowest wick in X amount of bars (Swing Length setting). If the mode is set to "Order Blocks", the volume profile range is the area between the latest buyside order block and the sellside order block. Order blocks occur when there is a high amount of market orders exist on a price range. It is possible to find order blocks using specific candlestick formations on the chart. For more information about the order block detection, I suggest you checking the write-up of our "Volumized Order Blocks" script. Increasing the "Swing Length" setting is recommended when the mode is set to "Pivots", as this will help in finding stronger pivot points.
3. Make a range using the latest pivot points, then divide it into rows (Row Count setting)
4. Then for each candlestick, add it's volume to the corresponding row in the range. Note that the volume can be added into several rows if it overlaps with them all.
5. If the candlestick is a bullish candlestick, we add it's volume into the bullish volume of the row, if it's a bearish candlestick, we add it to the bearish volume of the row.
With the weighted volume mode, which is activated if "Volume Weighthing" setting is set to "Recent" or "Past", all volumes get a penalty based on their distance to the latest candletstick. For example, if the setting is set to "Recent", the latest candlestick contributes it's volume by 100% to the corresponding row, but the candlestick which is 50 candlesticks far from the current candlestick only contributes it's volume by ~17% to the row. The same applies to the "Past" setting, but in the reversed order, where past candlesticks have more priority than the current ones.
Volume contribution percent for "Recent" setting : ((100 * 0.85) / (i + 1)) + (100 * (1.0 - 0.85))
Volume contribution percent for "Past" setting : ((100 * 0.85) * ((i + 1) / N)) + (100 * (1.0 - 0.85))
Where i = candlestick index from right to left, N = total number of candlesticks analyzed by the volume profile.
The Point Of Control (POC) line is drawn from the row with the most total volume, and is generally considered as a strong level because a lot of trading volume happened on that particular row. Traders may use this line as a support & resistance level.
We believe that automatically ranging the volume profile to important pivot points will help traders see crucial volume information easier without unnecessary hassle. Traders can use this indicator to have an insight of areas which price moves quickly without much volume, or see areas that holds the price still for much longer and plan their trades accordingly.
โ๏ธSETTINGS
1. General Configuration
Mode -> The pivoting mode that is switchable between "Pivots" and "Order Blocks" as described in the write-up. Please read the upper section to understand how this setting works.
Analyze Bars -> Total amount of bars that will be analyzed by the indicator from right to left.
Row Count -> The amount of rows that will the vertical range between pivot points will be divided into.
Volume Weighting -> The volume weighting mode as explained in the write-up.
2. Style
Highlight Sessions -> The volume profile sessions will be highlighted with a blue tint. To prevent confusion, highlighting will not work if the alignment is set to "Right".
Align To -> The alignment of the volume profile.
Candle Range Theory | Flux Charts๐ GENERAL OVERVIEW
Introducing our new Candle Range Theory Indicator! This powerful tool offers a strategy built around the Candle Range Theory, which analyzes market movements through the relative size and structure of price candles. For more information about the process, check the "HOW DOES IT WORK" section.
Features of the new Candle Range Theory Indicator :
Implementation of the Candle Range Theory
FVG & Order Block Entry Methods
2 Different TP / SL Methods
Customizable Execution Settings
Customizable Backtesting Dashboard
Alerts for Buy, Sell, TP & SL Signals
๐ HOW DOES IT WORK ?
The Candle Range Theory (CRT) indicator operates by identifying significant price movements through the relative size and structure of candlesticks. A key part of the strategy is determining large candles based on their range compared to the Average True Range (ATR) in a higher timeframe. Once identified, a breakout of either the high wick or the low wick of the large candle is required. This breakout is considered a liquidity grab. After that, the indicator waits for confirmation through Fair Value Gaps (FVGs) or Order Blocks (OBs). The confirmation structure must be the opposite direction of the breakout, for example if the high wick is broken, a bearish FVG is required for the short entry. After a confirmation signal is received, the indicator will trigger entry points based on your chosen entry method (FVG or OB), and exit points will be calculated using either a dynamic ATR-based TP/SL method or fixed percentages. Alerts for Buy, Sell, Take-Proft, and Stop-Loss are available.
๐ฉ UNIQUENESS
This indicator stands out because it combines two highly effective entry methods: Fair Value Gaps (FVGs) and Order Blocks (OBs). You can choose between these strategies depending on market conditions. Additionally, the dynamic TP/SL system uses the ticker's volatility to automatically calculate stop-loss and take-profit targets. 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 tiker. The Candle Range Theory approach offers more flexibility compared to traditional indicators, allowing for better customization and control based on your risk tolerance.
โ๏ธ SETTINGS
1. General Configuration
Higher Timeframe: Customize the higher timeframe for analysis. Recommended combinations include M15 -> H4, H4 -> Daily, Daily -> Weekly, and Weekly -> Monthly.
HTF Candle Size: Define the size of the higher timeframe candles as Big, Normal, or Small to filter valid setups based on their range relative to ATR.
Entry Mode: Choose between FVGs and Order Blocks for your entry triggers.
Require Retracement: Enable this option if you want a retracement to the FVG or OB for entry confirmation.
Show HTF Candle Lines: Toggle to display the higher timeframe candle lines for better visual clarity.
2. Fair Value Gaps
FVG Sensitivity: You may select between Low, Normal, High or Extreme FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivities resulting in spotting bigger FVGs, and higher sensitivities resulting in spotting all sizes of FVGs.
3. Order Blocks
Swing Length: Swing length is used when finding order block formations. Smaller values will result in finding smaller order blocks.
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.
Smart Money Setup 04 [TradingFinder] Three Drive (Harmonic) + OB๐ต Introduction
The "Three Drive" pattern is a well-known formation in technical analysis, recognized for its ability to signal potential trend reversals in price action. Within the realm of trading, particularly in the context of "Reversal Patterns," the Three Drive pattern holds significance as a reliable indicator of shifts in market sentiment.
๐ฃ Bullish 3 Drive
This pattern typically manifests at a price bottom, where a sequence of lower lows suggests a prevailing negative trend. However, within the structure of the Three Drive pattern, a notable occurrence unfolds.
The second low breaches the range of the first low, followed by the third low surpassing the range of the second low. These penetrations signify a diminishing selling pressure and an emerging buying interest.
Traders often await the confirmation of the third low surpassing the second low as an entry point, with price targets set at the highs formed within the Three Drive pattern.
๐ฃ Bearish 3 Drive
Conversely, the Bearish Three Drive pattern emerges at a price top, characterized by a sequence of higher highs indicating an upward trend. Yet, amidst this apparent bullish momentum, a shift occurs.
The second high breaks beyond the range of the first high, succeeded by the third high exceeding the range of the second high. These breaches signify a waning buying strength and a resurgence in selling pressure.
Entry into a trade is often executed after the confirmation of the third high surpassing the second high, with targets set at the lows formed within the Three Drive pattern.
Importance :
Understanding the Three Drive pattern's significance extends beyond mere technical analysis. It bears resemblance to other established patterns, such as the Harmonic Pattern and Ending Diagonal within the Elliott Wave Theory.
Recognizing these parallels aids traders in comprehending broader market dynamics and potential price movements.
๐ต Formation of 3 Drive in Order Block Zone
The convergence of the Three Drive pattern with the concept of the Order Block Zone introduces a nuanced layer to traders' analytical approach.
In "Price Action" methodology, Order Blocks represent areas on the price chart where significant market players, such as institutional traders, have executed notable orders.
These zones often act as barriers, with price encountering resistance or support upon reaching them.
When the Three Drive pattern forms within an Order Block Zone, it signifies a confluence of market dynamics.
The completion of the pattern within this zone suggests a potential reversal in the prevailing trend, augmented by the presence of significant institutional orders.
Traders incorporate these Order Blocks into their analysis to identify probable levels where price may change direction, enhancing the reliability of their trading decisions.
๐ต How to Use :
To effectively utilize the Three Drive pattern within the Order Block Zone, traders seek alignment between the completion of the pattern and the presence of significant Order Blocks.
This convergence enhances the reliability of the pattern's signals, increasing the likelihood of successful trade outcomes.
Bullish Three Drive in Demand Zone :
Bearish Three Drive in Supply Zone :
Settings :
You can set your desired "Pivot Period" via settings for the indicator to identify setups based on it.
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
Fib BB on VWMA*ATRThis TradingView Pine Script is designed to plot Fibonacci Bollinger Bands on a Volume Weighted Moving Average (VWMA) using the Average True Range (ATR). The script takes a higher timeframe (HTF) approach, allowing traders to analyze price action and volatility from a broader market perspective.
๐น How It Works
Higher Timeframe Data Integration
Users can select a specific timeframe to calculate the VWMA and ATR.
This allows for a more macro perspective, avoiding the noise of lower timeframes.
Volume Weighted Moving Average (VWMA)
Unlike the Simple Moving Average (SMA), VWMA gives higher weight to price movements with larger volume.
Calculation Formula:
๐๐๐๐ด=โ(๐ถ๐๐๐ ๐ร๐๐๐๐ข๐๐) / โ๐๐๐๐ข๐๐
Since VWMA accounts for volume, it is more reactive to price zones with high buying or selling activity, making it useful for identifying liquidity zones.
ATR-Based Fibonacci Bollinger Bands
The Average True Range (ATR) is used to measure market volatility.
Instead of standard deviation-based Bollinger Bands, Fibonacci multipliers (2.618, 3.0, 3.414) are applied to ATR.
These bands adjust dynamically with market volatility.
๐น Key Findings from Exploration
Through testing and analysis, this indicator seems to effectively detect supply and demand zones, particularly at the Fibonacci levels of 2.618 to 3.414.
Price frequently reacts at these bands, indicating that they capture key liquidity zones.
Potential Order Block Detection:
The ends of the Fibonacci Bollinger Bands (especially at 2.618, 3.0, and 3.414) tend to align with order blocksโareas where institutional traders previously accumulated or distributed positions.
This is particularly useful for order flow traders who focus on unfilled institutional orders.
๐น How to Use This Indicator?
Identifying Order Blocks
When price reaches the upper or lower bands, check if there was a strong reaction (rejection or consolidation).
If price rapidly moves away from a band, that level might be an order block.
Spotting Liquidity Pools
VWMAโs nature enhances liquidity detection since it emphasizes high-volume price action.
If a price level repeatedly touches the band without breaking through, it suggests institutional orders may be absorbing liquidity there.
Trend Confirmation
If VWMA is trending upwards and price keeps rejecting the lower bands, it confirms a strong bullish trend.
Conversely, constant rejection from the upper bands suggests a bearish market.
This script is designed for open-source publication and offers traders a refined approach to detecting order blocks and liquidity zones using Fibonacci-based volatility bands.
๐ ํ๊ธ ์ค๋ช
(์์ธ ์ค๋ช
)
์ด ํธ๋ ์ด๋ฉ๋ทฐ ํ์ธ์คํฌ๋ฆฝํธ๋ ๊ฑฐ๋๋ ๊ฐ์ค ์ด๋ํ๊ท (VWMA)๊ณผ ํ๊ท ์ค์ ๋ฒ์(ATR)๋ฅผ ํ์ฉํ์ฌ ํผ๋ณด๋์น ๋ณผ๋ฆฐ์ ๋ฐด๋๋ฅผ ํ์ํ๋ ์งํ์
๋๋ค.
๋ํ, ๊ณ ์ฐจ ํ์ํ๋ ์(HTF) ๋ฐ์ดํฐ๋ฅผ ํ์ฉํ์ฌ ์์ฅ์ ํฐ ํ๋ฆ์ ๋ถ์ํ ์ ์๋๋ก ์ค๊ณ๋์์ต๋๋ค.
๐น ์งํ ์๋ ๋ฐฉ์
๊ณ ์ฐจ ํ์ํ๋ ์(HTF) ๋ฐ์ดํฐ ์ ์ฉ
์ฌ์ฉ์๊ฐ ์ํ๋ ํ์ํ๋ ์์ ์ ํํ์ฌ VWMA์ ATR์ ๊ณ์ฐํ ์ ์์ต๋๋ค.
์ด๋ฅผ ํตํด ๋ ํฐ ์์ฅ ํ๋ฆ์ ๋ถ์ํ ์ ์์ผ๋ฉฐ, ์ ํ์ํ๋ ์์ ๋
ธ์ด์ฆ๋ฅผ ์ค์ผ ์ ์์ต๋๋ค.
๊ฑฐ๋๋ ๊ฐ์ค ์ด๋ํ๊ท (VWMA) ์ ์ฉ
VWMA๋ ๋จ์ ์ด๋ํ๊ท (SMA)๋ณด๋ค ๊ฑฐ๋๋์ด ๋ง์ ๊ฐ๊ฒฉ ์์ง์์ ๋ ํฐ ๊ฐ์ค์น๋ฅผ ๋ถ์ฌํฉ๋๋ค.
๊ณ์ฐ ๊ณต์:
๐๐๐๐ด=โ(๐ถ๐๐๐ ๐ร๐๐๐๐ข๐๐) / โ๐๐๐๐ข๐๐
โ
๊ฑฐ๋๋์ด ๋ง์ด ๋ฐ์ํ ๊ฐ๊ฒฉ ๊ตฌ๊ฐ์ ๊ฐ์กฐํ๋ ํน์ฑ์ด ์์ด, ์์ฅ์ ์ ๋์ฑ ๊ตฌ๊ฐ์ ๋ ์ ํํ ํฌ์ฐฉํ ์ ์์ต๋๋ค.
ATR ๊ธฐ๋ฐ ํผ๋ณด๋์น ๋ณผ๋ฆฐ์ ๋ฐด๋ ์์ฑ
ATR(Average True Range)๋ฅผ ํ์ฉํ์ฌ ๋ณ๋์ฑ์ ์ธก์ ํฉ๋๋ค.
๊ธฐ์กด์ ํ์คํธ์ฐจ ๊ธฐ๋ฐ ๋ณผ๋ฆฐ์ ๋ฐด๋ ๋์ , ํผ๋ณด๋์น ๊ณ์(2.618, 3.0, 3.414)๋ฅผ ATR์ ๊ณฑํ์ฌ ๋ฐด๋๋ฅผ ์์ฑํฉ๋๋ค.
์ด ๋ฐด๋๋ ์์ฅ ๋ณ๋์ฑ์ ๋ฐ๋ผ ์ ๋์ ์ผ๋ก ์กฐ์ ๋ฉ๋๋ค.
๐น ํ๊ตฌ ๊ฒฐ๊ณผ: ๋งค๋ฌผ๋ ๋ฐ ์ค๋๋ธ๋ก ๊ฐ์ง
ํ
์คํธ๋ฅผ ํตํด Fibonacci 2.618 ~ 3.414 ๊ตฌ๊ฐ์์ ๋งค๋ฌผ๋ ๋ฐ ์ค๋๋ธ๋ก์ ํฌ์ฐฉํ๋ ๊ฒฝํฅ์ด ์์์ ํ์ธํ์ต๋๋ค.
๊ฐ๊ฒฉ์ด ํผ๋ณด๋์น ๋ฐด๋(ํนํ 2.618, 3.0, 3.414)์ ๋ฟ์ ๋ ๋ฐ์ํ๋ ๊ฒฝ์ฐ๊ฐ ๋ง์
VWMA์ ํน์ฑ์ ํตํด ์ค๋๋ธ๋ก์ ๊ฐ์งํ ๊ฐ๋ฅ์ฑ์ด ๋์
๐น ์ค๋๋ธ๋ก(Order Block) ๊ฐ์ง ์๋ฆฌ
Fibonacci ๋ฐด๋ ๋ํธ๋จธ๋ฆฌ(2.618 ~ 3.414)์์ ๊ฐ๊ฒฉ์ด ๊ฐํ๊ฒ ๋ฐ์
์ด ์์ญ์์ ๊ฐ๊ฒฉ์ด ๊ฐํ๊ฒ ํ์ด ์ค๋ฅด๊ฑฐ๋(๋งค์ ์๋ ฅ) ๊ธ๋ฝํ๋(๋งค๋ ์๋ ฅ) ๊ฒฝ์ฐ,
โ ๊ธฐ๊ด๋ค์ด ํฌ์ง์
์ ์ฒญ์ฐํ๊ฑฐ๋ ์ถ๊ฐ ๋งค์งํ๋ ๊ตฌ๊ฐ์ผ ๊ฐ๋ฅ์ฑ์ด ํผ.
๊ณผ๊ฑฐ์ ๋๋ ์ฃผ๋ฌธ์ด ์ฒด๊ฒฐ๋ ๊ฐ๊ฒฉ ๊ตฌ๊ฐ(= ์ค๋๋ธ๋ก)์ผ ์ ์์.
VWMA๋ฅผ ํตํ ์ ๋์ฑ ๊ฐ์ง
VWMA๋ ๊ฑฐ๋๋์ด ์ง์ค๋ ๊ฐ๊ฒฉ์ ๊ธฐ์ค์ผ๋ก ์ด๋ํ๊ธฐ ๋๋ฌธ์, ๊ธฐ๊ด ์ฃผ๋ฌธ์ด ๋ง์ด ๋ค์ด์จ ๊ฐ๊ฒฉ๋๋ฅผ ๊ฐ์กฐํ๋ ํน์ง์ด ์์.
๋ฐ๋ผ์ VWMA์ ํผ๋ณด๋์น ๋ฐด๋๊ฐ ๋ง๋๋ ์ง์ ์ ์ ๋์ฑ์ด ๋์ ํต์ฌ ๊ตฌ๊ฐ์ด ๋ ๊ฐ๋ฅ์ฑ์ด ํผ.
๋งค๋ฌผ๋ ๋ฐ ์ฒญ์ฐ ๊ตฌ๊ฐ ๋ถ์
๊ฐ๊ฒฉ์ด ๋ฐด๋์ ๋๋ฌํ์ ๋ ๊ฐํ ๋ฐ๋ฑ์ด ๋์ค๋์ง๋ฅผ ํ์ธ โ ์ค๋๋ธ๋ก ๊ฐ๋ฅ์ฑ
๊ฐ๊ฒฉ์ด ๋ฐด๋๋ฅผ ์ฌ๋ฌ ๋ฒ ํ
์คํธํ๋ฉด์ ๋ํํ์ง ๋ชปํ๋ค๋ฉด, ํด๋น ์ง์ ์ ๊ฐํ ๋งค๋ฌผ๋์ผ ๊ฐ๋ฅ์ฑ
๐น ํ์ฉ ๋ฐฉ๋ฒ
โ
์ค๋๋ธ๋ก ๊ฐ์ง:
๊ฐ๊ฒฉ์ด ๋ฐด๋(2.618~3.414)์ ๋ฟ๊ณ ๊ฐํ๊ฒ ํ๊ธด๋ค๋ฉด, ์ค๋๋ธ๋ก ๊ฐ๋ฅ์ฑ
ํด๋น ์ง์ ์์ ๊ฑฐ๋๋ ์ฆ๊ฐ ๋ฐ ๊ฐํ ๋ฐ๋ฑ ๋ฐ์ ์ ๋งค์ ๊ณ ๋ ค
โ
์ ๋์ฑ ํ ํ์ธ:
VWMA์ ํผ๋ณด๋์น ๋ฐด๋๊ฐ ๋ง๋๋ ๊ตฌ๊ฐ์์ ๋ฐ๋ณต์ ์ผ๋ก ๊ฑฐ๋๋์ด ํฐ์ง๋ค๋ฉด, ํด๋น ์ง์ ์ ๊ธฐ๊ด ์ ๋์ฑ ๊ตฌ๊ฐ์ผ ๊ฐ๋ฅ์ฑ
โ
์ถ์ธ ํ์ธ:
VWMA๊ฐ ์์นํ๊ณ ๊ฐ๊ฒฉ์ด ๋ฐด๋ ํ๋จ(์ง์ง์ )์์ ํ๊ธด๋ค๋ฉด ๊ฐํ ์์น ์ถ์ธ
VWMA๊ฐ ํ๋ฝํ๊ณ ๊ฐ๊ฒฉ์ด ๋ฐด๋ ์๋จ(์ ํญ์ )์์ ๊ฑฐ๋ถ๋นํ๋ฉด ํ๋ฝ ์ถ์ธ ์ง์
TJR SEEK AND DESTROYTJR SEEK AND DESTROY โ Intraday ICT Trading Tool
Built for day traders, TJR SEEK AND DESTROY combines Smart Money concepts like order blocks, fair value gaps, and liquidity sweeps with structure breaks and daily bias to pinpoint high-probability trades during US market hours (9:30โ16:00). Ideal for scalping or intraday strategies on stocks, futures, or forex.
What Makes It Unique?
Unlike standalone ICT indicators, this script integrates:
Order Blocks with volume and range filters for precise support/resistance zones.
Fair Value Gaps (FVG) to spot pre-market price imbalances.
Break of Structure (BOS) and Liquidity Sweeps for trend and reversal signals.
A 1H MA-based Bias to align trades with the dayโs direction.
BUY/SELL Labels triggered only when bias, BOS, and sweeps align, reducing noise.
How Does It Work?
Order Blocks: Marks zones with high volume (>1.5x 20-period SMA) and low range (<0.5x ATR20) as teal boxesโpotential reversal points.
Fair Value Gap: Compares the prior dayโs close to the current open (pre- or post-9:30), shown as a purple line and label (e.g., "FVG: 0.005").
Pivot Point: Calculates (prevHigh + prevLow + prevClose) / 3 from the prior day, plotted as an orange line for equilibrium.
Break of Structure: Detects crossovers of 5-bar highs/lows (gray lines), marked with red triangles.
Liquidity Sweeps: Tracks breaches of the prior dayโs high/low (yellow lines), marked with yellow triangles.
Daily Bias: Uses 1H close vs. 20-period MA (blue line) for bullish (green background), bearish (red), or neutral (gray) context.
Signals: BUY (green label) when bias is bullish, price breaks up, and sweeps the prior high; SELL (red label) when bias is bearish, price breaks down, and sweeps the prior low.
How to Use It
Setup: Apply to 1Mโ15M charts for US session trading (9:30โ16:00 EST).
Trading:
Wait for a BUY label after a yellow sweep triangle above the prior dayโs high in a green (bullish) background.
Wait for a SELL label after a yellow sweep triangle below the prior dayโs low in a red (bearish) background.
Use order blocks (teal boxes) as support/resistance for stop-loss or take-profit.
Markets: Best for SPY, ES futures, or forex pairs with US session volatility.
Underlying Concepts
Order Blocks: High-volume, low-range bars suggest institutional activity.
FVG: Gaps between close and open indicate imbalance to be filled.
BOS & Sweeps: Price breaking key levels signals momentum or stop-hunting.
Bias: 1H MA filters trades by broader trend.
Chart Setup
Displays order blocks (teal boxes), pivot (orange), open (purple), bias (colored background), BOS/sweeps (triangles), and signals (labels). Keep other indicators off for clarity.
DonAlt - Smart Money Toolkit [BigBeluga]DonAlt - Smart Money Toolkit is inspired by the analytical insights of popular crypto influencer DonAlt.
This advanced toolkit integrates smart money concepts with key technical analysis elements to enhance your trading decisions.
๐ต KEY FEATURES:
SUPPORT AND RESISTANCE LEVELS Automatically identifies critical market turning points with significant volume. Levels turn green when the price is above them and red when below, providing a visual cue for key market thresholds.
โ
โ
โ
ORDER BLOCKS: Highlights significant price zones preceding major price movements.
- If the move is down , it searches for the last bullish candle and plots a block from its body.
- If the move is up , it searches for the last bearish candle and creates a block from its body.
These blocks help identify areas of institutional interest and potential reversals.
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TRENDLINES: Automatically plots trendlines to identify breakout zones or price accumulation areas.
โข Bullish trendlines accumulation form when the current low is higher than the previous low.
โข Bearish trendlines accumulation emerge when the current high is lower than the previous high.
โข Bullish trendlines Breakout form when the price break above it.
โข Bearish trendlines Breakout form when the price break below it.
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Volatility Integration: The levels incorporate normalized volatility to ensure only significant zones are highlighted, filtering noise and emphasizing meaningful data.
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๐ต WHEN TO USE:
This toolkit is ideal for traders seeking to align with "smart money" strategies by identifying key areas of institutional activity, strong support and resistance zones, and potential breakout setups.
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๐ต CUSTOMIZATION:
Toggle the visibility of levels, order blocks, or trendlines to match your trading style and focus.
Colors of the Bull and Bear key features
Extend trendline
WhalenatorThis custom TradingView indicator combines multiple analytic techniques to help identify potential market trends, areas of support and resistance, and zones of heightened trading activity. It incorporates a SuperTrend-like line based on ATR, Keltner Channels for volatility-based price envelopes, and dynamic order blocks derived from significant volume and pivot points. Additionally, it highlights โwhaleโ activitiesโperiods of exceptionally large volumeโalong with an estimated volume profile level and approximate bid/ask volume distribution. Together, these features aim to offer traders a more comprehensive view of price structure, volatility, and institutional participation.
This custom TradingView indicator integrates multiple trading concepts into a single, visually descriptive tool. Its primary goal is to help traders identify directional bias, volatility levels, significant volume events, and potential support/resistance zones on a price chart. Below are the main components and their functionalities:
SuperTrend-Like Line (Trend Bias):
At the core of the indicator is a trend-following line inspired by the SuperTrend concept, which uses Average True Range (ATR) to adaptively set trailing stop levels. By comparing price to these levels, the line attempts to indicate when the market is in an uptrend (price above the line) or a downtrend (price below the line). The shifting levels can provide a dynamic sense of direction and help traders stay with the predominant trend until it shifts.
Keltner Channels (Volatility and Range):
Keltner Channels, based on an exponential moving average and Average True Range, form volatility-based envelopes around price. They help traders visualize whether price is extended (touching or moving outside the upper/lower band) or trading within a stable range. This can be useful in identifying low-volatility consolidations and high-volatility breakouts.
Dynamic Order Blocks (Approximations of Supply/Demand Zones):
By detecting pivot highs and lows under conditions of significant volume, the indicator approximates "order blocks." Order blocks are areas where institutional buying or selling may have occurred, potentially acting as future support or resistance zones. Although these approximations are not perfect, they offer a visual cue to areas on the chart where price might react strongly if revisited.
Volume Profile Proxy and Whale Detection:
The indicator highlights price levels associated with recent maximum volume activity, providing a rough "volume profile" reference. Such levels often become key points of price interaction.
"Whale" detection logic attempts to identify bars where exceptionally large volume occurs (beyond a defined threshold). By tracking these "whale bars," traders can infer where heavy participationโoften from large traders or institutionsโmay influence market direction or create zones of interest.
Approximate Bid/Ask Volume and Dollar Volume Tracking:
The script estimates whether volume within each bar leans more towards the bid or the ask side, aiming to understand which participant (buyers or sellers) might have been more aggressive. Additionally, it calculates dollar volume (close price multiplied by volume) and provides an average to gauge the relative participation strength over time.
Labeling and Visual Aids:
Dynamic labels display Whale Frequency (the ratio of bars with exceptionally large volume), average dollar volume, and approximate ask/bid volume metrics. This gives traders at-a-glance insights into current market conditions, participation, and sentiment.
Strengths:
Multifaceted Analysis:
By combining trend, volatility, volume, and order block logic in one place, the indicator saves chart space and simplifies the analytical process. Traders gain a holistic view without flipping between multiple separate tools.
Adaptable to Market Conditions:
The use of ATR and Keltner Channels adapts to changing volatility conditions. The SuperTrend-like line helps keep traders aligned with the prevailing trend, avoiding constant whipsaws in choppy markets.
Volume-Based Insights:
Integrating whale detection and a crude volume profile proxy helps traders understand where large players might be interacting. This perspective can highlight critical levels that might not be evident from price action alone.
Convenient Visual Cues and Labels:
The indicator provides quick reference points and textual information about the underlying volume dynamics, making decision-making potentially faster and more informed.
Weaknesses:
Heuristic and Approximate Nature:
Many of the indicatorโs features, like the "order blocks," "whale detection," and the approximate bid/ask volume, rely on heuristics and assumptions that may not always be accurate. Without actual Level II data or true volume profiles, the insights are best considered as supplementary, not definitive signals.
Lagging Components:
Indicators that rely on past data, like ATR-based trends or moving averages for Keltner Channels, inherently lag behind price. This can cause delayed signals, particularly in fast-moving markets, potentially missing some early opportunities or late in confirming market reversals.
No Guaranteed Predictive Power:
As with any technical tool, it does not forecast the future with certainty. Strong volume at a certain level or a bullish SuperTrend reading does not guarantee price will continue in that direction. Market conditions can change unexpectedly, and false signals will occur.
Complexity and Overreliance Risk:
With multiple signals combined, thereโs a risk of information overload. Traders might feel compelled to rely too heavily on this one tool. Without complementary analysis (fundamentals, news, or additional technical confirmation), overreliance on the indicator could lead to misguided trades.
Conclusion:
This integrated indicator offers a comprehensive visual guide to market structure, volatility, and activity. Its strength lies in providing a multi-dimensional viewpoint in a single tool. However, traders should remain aware of its approximations, inherent lags, and the potential for conflicting signals. Sound risk management, position sizing, and the use of complementary analysis methods remain essential for trading success.
Risks Associated with Trading:
No indicator can guarantee profitable trades or accurately predict future price movements. Market conditions are inherently unpredictable, and reliance on any single tool or combination of tools carries the risk of financial loss. Traders should practice sound risk management, including the use of stop losses and position sizing, and should not trade with funds they cannot afford to lose. Ultimately, decisions should be guided by a thorough trading plan and possibly supplemented with other forms of market analysis or professional advice.
Risks and Important Considerations:
โข Not a Standalone Tool:
โข This indicator should not be used in isolation. It is essential to incorporate additional technical analysis tools, fundamental analysis, and market context when making trading decisions.
โข Relying solely on this indicator may lead to incomplete assessments of market conditions.
โข Market Volatility and False Signals:
โข Financial markets can be highly volatile, and indicators based on historical data may not accurately predict future movements.
โข The indicator may produce false signals due to sudden market changes, low liquidity, or atypical trading activity.
โข Risk Management:
โข Always employ robust risk management strategies, including setting stop-loss orders, diversifying your portfolio, and not over-leveraging positions.
โข Understand that no indicator guarantees success, and losses are a natural part of trading.
โข Emotional Discipline:
โข Avoid making impulsive decisions based on indicator signals alone.
โข Emotional trading can lead to significant financial losses; maintain discipline and adhere to a well-thought-out trading plan.
โข Continuous Learning and Adaptation:
โข Stay informed about market news, economic indicators, and global events that may impact trading conditions.
โข Continuously evaluate and adjust your trading strategies as market dynamics evolve.
โข Consultation with Professionals:
โข Consider seeking advice from financial advisors or professional traders to understand better how this indicator can fit into your overall trading strategy.
โข Professional guidance can provide personalized insights based on your financial goals and risk tolerance.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
Smart Money Setup 06 [TradingFinder] Liquidity Sweeps + OB Swing๐ต Introduction
Smart Money, managed by large investors, injects significant capital into financial markets by entering real capital markets.
Capital entering the market by this group of individuals is called smart money. Traders can profit from financial markets by following such individuals.
Therefore, smart money can be considered one of the effective methods for analyzing financial markets.
Sometimes, before a market movement, fluctuation movements that create price movement cause many traders' "Stop Loss" to be triggered. These movements are created in various patterns.
One of these patterns is similar to an "Expanding Triangle", which touches the stop loss of individuals who have placed their stop loss in the cash area in the form of 5 consecutive openings.
To better understand this setup, pay attention to the images below.
Bullish Setup Details :
Bearish Setup Details :
๐ต How to Use
After adding the indicator to the chart, wait for trading opportunities to appear. By changing the "Time Frame" and "Pivot Period", you can see different trading positions.
In general, the smaller the "Time Frame" and "Pivot Period", the more likely trading opportunities will appear.
Bullish Setup Details on Chart :
Bearish Setup Details on Chart :
๐ต Settings
You have access to "Pivot Period", "Order Block Refine", and "Refine Mode" through settings.
By changing the "Pivot Period", you can change the range of zigzag that identifies the setup.
Through "Order Block Refine", you can specify whether you want to refine the width of the order blocks or not. It is set to "On" by default.
Through "Refine Mode", you can specify how to improve order blocks.
If you are "risk-averse", you should set it to "Defensive" mode because in this mode, the width of the order blocks decreases, the number of your trades decreases, and the "reward-to-risk ratio "increases.
If you are on the opposite side and are "risk-taker", you can set it to "Aggressive" mode. In this mode, the width of the order blocks increases, and the likelihood of losing positions decreases.
Alert Sender Library [TradingFinder]Library "AlertSenderLibrary_TradingFinder"
๐ต Introduction
The "Alert Sender Library" is a management and production program for "Alert Messages" that enables the creation of unique messages for any type of signal generated by indicators or strategies.
These messages include the direction of the signal, symbol, time frame, the date and time the condition was triggered, prices related to the signal, and a personal message from you. To make better and more optimal use of this "library", you should carefully study " Key Features" and "How to Use".
๐ต Key Features
Automatic Detection of Appropriate Type :
Using two parameters, "AlertType" and "DetectionType", which you must enter at the beginning into the "AlertSender" function, the type of the alert message is determined.
For example, if you select one of the "DetectionType"s such as "Order Block Signal", "Signal", and "Setup", your alert type will be chosen based on "Long" and "Short". Whether it's "Long" or "Short" depends on the "AlertType" you have set to either "Bullish" or "Bearish".
Automatic Symbol Detection :
Whenever you add an alert for a specific symbol, if you want the name of that symbol to be in your message text, you must manually write the name of the symbol in your message. One of the capabilities of the "Alert Sender" is the automatic detection of the symbol and adding it to the message text.
Automatic Time Frame Detection :
When adding your alert, the "Alert Sender" detects the time frame of the symbol you intend to add the alert for and adds it to the text. This feature is very practical and can prevent traders from making mistakes.
For example, a trader might add alerts for a specific symbol using a specific indicator in different time frames, taking the main signal in the 1-hour time frame and only a confirmation signal in the 15-minute time frame. This feature helps to identify in which time frame the signal is set.
Detection of Date and Time When the Signal is Triggered :
You can have the date and time at the moment the message is sent. This feature has various uses. For example, if you use the Webhook URL feature to send messages to a Telegram channel, there might be issues with alert delivery on your server, causing delays, and you might receive the message when it has lost its validity.
With this feature, you can match the sending time of the message from TradingView with the receipt time in your messenger and detect if there is a delay in message delivery.
Important :
You can also set the Time Zone you wish to receive the date and time based on.
Display of "Key Prices" :
Key prices can vary based on the type of signals. For example, when the "DetectionType" is in "Order Block Signal" mode, the key prices are the "Distal" and "Proximal" prices. Or if the "DetectionType" is in "Setup" mode, the key prices are "Entry", "Stop Loss", and "Take Profit".
Receipt of Personal "Messages" :
You can enter your personal message using "input.string" or "input.text_area" in addition to the messages that are automatically created.
Beautiful and Functional Display of Messages :
The titles of messages sent by "AlertSender" are displayed using related emojis to prevent mistakes due to visual errors, enhancing beauty.
๐ต How to Use
๐ฃ Familiarity with Function and Parameters
AlertSender(Condition, Alert, AlertName, AlertType, DetectionType, SetupData, Frequency, UTC, MoreInfo, Message, o, h, l, c, Entry, TP, SL, Distal, Proximal)
โParameters:
โโ- Condition (bool)
โโ- Alert (string)
โโ- AlertName (string)
โโ- AlertType (string)
โโ- DetectionType (string)
โโ- SetupData (string)
โโ- Frequency (string)
โโ- UTC (string)
โโ- MoreInfo (string)
โโ- Message (string)
โโ- o (float)
โโ- h (float)
โโ- l (float)
โโ- c (float)
โโ- Entry (float)
โโ- TP (float)
โโ- SL (float)
โโ- Distal (float)
โโ- Proximal (float)
To add "Alert Sender Library", you must first add the following code to your script.
import TFlab/AlertSenderLibrary_TradingFinder/1
๐ฃ Parameters
"Condition" : This parameter is a Boolean. You need to set it based on the condition that, when met (or fired), you want to receive an alert. The output should be either "true" or "false".
"Alert" : This parameter accepts one of two inputs, "On" or "Off". If set to "On", the alarm is active; if "Off", the alarm is deactivated. This input is useful when you have numerous alerts in an indicator or strategy and need to activate only a few of them. "Alert" is a string parameter.
Alert = input.string('On', 'Alert', , 'If you turn on the Alert, you can receive alerts and notifications after setting the "Alert".', group = 'Alert')
"AlertName" : This is a string parameter where you can enter the name you choose for your alert.
AlertName = input.string('Order Blocks Finder ', 'Alert Name', group = 'Alert')
"AlertType" : The inputs for this parameter are "Bullish" or "Bearish". If the condition selected in the "Condition" parameter is of a bullish bias, you should set this parameter to "Bullish", and if the condition is of a bearish bias, it should be set to "Bearish". "AlertType" is a string parameter.
"DetectionType" : This parameter's predefined inputs include "Order Block Signal", "Signal", "Setup", and "Analysis". You may provide other inputs, but some functionalities, like "Key Price", might be lost. "DetectionType" is a string parameter.
"SetupData" :
If "DetectionType" is set to "Setup", you must specify "SetupData" as either "Basic" or "Full". In "Basic" mode, only the "Entry" price needs to be defined in the function, and "TP" (Take Profit) and "SL" (Stop Loss) can be any number or NA. In "Full" mode, you need to define "Entry", "SL", and "TP". "Setup" is a string parameter.
"Frequency" : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Frequency = input.string('Once Per Bar', 'Message Frequency', , 'The triggering frequency. Possible values are: All (all function calls trigger the alert), Once Per Bar (the first function call during the bar triggers the alert), Per Bar Close (the function call triggers the alert only when it occurs during the last script iteration of the real-time bar, when it closes). The default is alert.freq_once_per_bar.', group = 'Alert')
"UTC" : With this parameter, you can set the Time Zone for the date and time of the alert's dispatch. "UTC" is a string parameter and can be set as "UTC-4", "UTC+1", "UTC+9", or any other Time Zone.
UTC = input.string('UTC', 'Show Alert time by Time Zone', group = 'Alert')
"MoreInfo" : This parameter can take one of two inputs, "On" or "Off", which are strings. Additional information, including "Time" and "Key Price", is included. If set to "On", this information is received; if "Off", it is not displayed in the sent message.
MoreInfo = input.string('On', 'Display More Info', , group = 'Alert')
"Message" : This parameter captures the user's personal message through an input and displays it at the end of the sent message. It is a string input.
MessageBull = input.text_area('Long Position', 'Long Signal Message', group = 'Alert') MessageBear = input.text_area('Short Position', 'Short Signal Message', group = 'Alert')
"o" (Open Price): A floating-point number representing the opening price of the candle. This input is necessary when the "DetectionType" is set to "Signal". Otherwise, it can be any number or "na".
"h" (High Price): A float variable for the highest price of the candle. Required when "DetectionType" is "Signal"; in other cases, any number or "na" is acceptable.
"l" (Low Price): A float representing the lowest price of the candle. This field must be filled if "DetectionType" is "Signal". If not, it can be any number or "na".
"c" (Close Price): A floating-point variable indicating the closing price of the candle. Needed for "Signal" type detections; otherwise, it can take any value or "na".
"Entry" : A float variable indicating the entry price into a trading setup. This is relevant when "DetectionType" is in "Setup" mode. In other scenarios, it can be any number or "na". It denotes the price at which the trade setup is entered.
"TP" (Take Profit): A float that is necessary when "DetectionType" is "Setup" and "SetupData" is "Full". Otherwise, it can be any number or "na". It signifies the price target for taking profits in a trading setup.
"SL" (Stop Loss): A float required when "DetectionType" is "Setup" and "SetupData" is "Full". It can be any number or "na" in other cases. This value represents the price at which a stop loss is set to limit losses.
"Distal" : A float important for "Order Block Signal" detection. It can be any number or "na" if not in use. This variable indicates the price reaching the distal line of an order block.
"Proximal" : A float needed for "Order Block Signal" detection mode. It can take any value or "na" otherwise. It marks the price reaching the proximal line of an order block.
IDKFAIDKFA - Advanced Order Blocks & Volume Profile with Market Structure Analysis
Why IDKFA?
Named after the legendary DOOM cheat code that gives players "all weapons and full ammo," IDKFA provides traders with a comprehensive arsenal of market analysis tools. Just as the cheat code arms players with everything needed for combat, this indicator equips traders with essential market structure tools: Order Blocks, Volume Profile, LVN/HVN areas, Fibonacci retracements, and intelligent buy/sell signals - all in one unified system.
Core Features
Order Blocks Detection
Automatically identifies institutional order blocks using pivot high/low analysis
Extends blocks dynamically until price interaction occurs
Bullish blocks (demand zones) and bearish blocks (supply zones)
Customizable opacity and extend functionality
Advanced Volume Profile
Real-time volume profile calculation for multiple session types
Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL)
Mode 1: Side-by-side bull/bear volume display
Mode 2: Overlapped volume display with percentage analysis
Shows buying vs selling pressure at each price level
LVN/HVN Area Detection
Low Volume Nodes (LVN): Areas below VAL where price moves quickly
High Volume Nodes (HVN): Areas above VAH with strong resistance
NPOC (Naked Point of Control): Single print areas within Value Area
Volume-based gradient coloring shows relative activity levels
Smart Fibonacci Retracements
Auto-detects trend direction for proper fibonacci orientation
Dynamic color coding: Red levels in uptrends, Gold in downtrends
Special 88.6% level turns lime green in downtrends
Key levels: 23.6%, 38.2%, 50%, 61.8%, 65%, 78.6%, 88.6%
Intelligent Signal System
Works best on higher timeframes
Identifies high-probability reversal setups at key levels
Buy signals: Large bearish rejection followed by bullish reclaim
Sell signals: Large bullish rejection followed by bearish breakdown
Signals only trigger near significant support/resistance areas
Signal Analysis & Usage Guidelines
Buy Signal Mechanics
The buy signal triggers when:
Previous candle shows significant bearish movement (minimum ATR multiplier)
Current candle reclaims a configurable percentage of the previous candle's range
Price is near a key support level (order blocks, fibonacci, volume levels)
Sell Signal Mechanics
The sell signal triggers when:
Previous candle shows significant bullish movement (minimum ATR multiplier)
Current candle rejects below a configurable percentage of the previous candle's range
Price is near a key resistance level (order blocks, fibonacci, volume levels)
When to TAKE Signals
High Probability Buy Signals:
Signal appears AT or BELOW the VAL (Value Area Low)
Signal occurs at bullish order block confluence
Price is in LVN area below VAL (momentum acceleration zone)
Signal aligns with fibonacci 61.8% or 78.6% support
Multiple session POC levels provide support confluence
Previous session's VAL acting as current support
High Probability Sell Signals:
Signal appears AT or ABOVE the VAH (Value Area High)
Signal occurs at bearish order block confluence
Price is in HVN area above VAH (heavy resistance zone)
Signal aligns with fibonacci 61.8% or 78.6% resistance
Multiple session POC levels provide resistance confluence
Previous session's VAH acting as current resistance
When to AVOID Signals
Avoid Buy Signals When:
Signal appears ABOVE the VAH (buying into resistance)
Price is in HVN red zones (high volume resistance areas)
No clear support structure below current price
Volume profile shows heavy selling pressure (high bear percentages)
Signal occurs during low-volume periods between major sessions
Multiple bearish order blocks exist below current price
Avoid Sell Signals When:
Signal appears BELOW the VAL (selling into support)
Price is in LVN green zones (momentum could continue)
No clear resistance structure above current price
Volume profile shows heavy buying pressure (high bull percentages)
Signal occurs during Asian session ranges without clear direction
Multiple bullish order blocks exist above current price
Volume Profile Context for Signals
Understanding Bull/Bear Percentages:
70%+ Bull dominance at a level = Strong support expected
70%+ Bear dominance at a level = Strong resistance expected
50/50 Split = Neutral zone, less predictable
Use percentages to gauge conviction behind moves
POC (Point of Control) Interactions:
Signals above POC in uptrend = Higher probability
Signals below POC in downtrend = Higher probability
Signals against POC bias require extra confirmation
POC often acts as magnetic level for price return
Trading Strategies
Strategy 1: VAL/VAH Bounce Strategy
Wait for price to approach VAL (support) or VAH (resistance)
Look for signal confirmation at these critical levels
Enter with tight stops beyond the Value Area
Target opposite boundary or next session's levels
Strategy 2: Order Block + Volume Confluence
Identify order block alignment with VAL/VAH
Wait for signal within the confluence zone
Enter on signal with stop beyond order block
Use LVN areas as acceleration zones for targets
Strategy 3: LVN/HVN Strategy
LVN (Green) Areas: "Go Zones" - expect quick price movement through low volume
HVN (Red) Areas: "Stop Zones" - expect resistance and potential reversals
NPOC Areas: "Fill Zones" - price often returns to fill single print gaps
Strategy 4: Multi-Session Analysis
Use Daily/Weekly for major structure context
Use 4H for intermediate levels
Use 1H for precise entry timing
Ensure all timeframes align before taking signals
Strategy 5: Fibonacci + Volume Profile
Buy signals at 61.8% or 78.6% fibonacci near VAL
Sell signals at 61.8% or 78.6% fibonacci near VAH
Use 88.6% level as final support/resistance before major moves
50% level often aligns with POC for confluence
Signal Quality Assessment
Grade A Signals (Highest Probability):
Signal at VAL/VAH with order block confluence
Fibonacci level alignment (61.8%, 78.6%)
Volume profile shows 70%+ dominance in signal direction
Multiple timeframe structure alignment
Signal occurs during high-volume sessions (London/NY)
Grade B Signals (Moderate Probability):
Signal near POC with some confluence
Fibonacci 50% or 38.2% alignment
Mixed volume profile readings (50-70% dominance)
Some timeframe alignment present
Signal during overlap sessions
Grade C Signals (Lower Probability):
Signal with minimal confluence
Weak fibonacci alignment or none
Volume profile neutral or against signal
Conflicting timeframe signals
Signal during low-volume periods
Risk Management Guidelines
Position Sizing Based on Signal Quality:
Grade A: Standard position size
Grade B: Reduced position size (50-75%)
Grade C: Minimal position size (25%) or skip entirely
Stop Loss Placement:
Beyond order block boundaries
Outside Value Area (VAL/VAH)
Below/above fibonacci confluence levels
Account for session volatility ranges
Profit Targets:
First target: Opposite VAL/VAH boundary
Second target: Next session's key levels
Final target: Major order blocks or fibonacci extensions
Credits & Attribution
Original components derived from:
Market Sessions & Volume Profile by ยฉ Leviathan (Mozilla Public License 2.0)
Volume Profile elements inspired by @LonesomeTheBlue's volume profile script
Pivot Order Blocks by TradingWolf / ยฉ MensaTrader (Mozilla Public License 2.0)
Auto Fibonacci Retracement code (public domain)
Significant enhancements and modifications include:
Advanced LVN/HVN detection and visualization
Bull/Bear percentage analysis for Mode 2/3
Comprehensive alert system with market context
Integrated buy/sell signals at key levels
Performance optimizations and extended session support
Enhanced Mode 2/3 with percentage pressure analysis
Important Disclaimers
This indicator is a technical analysis tool designed for educational purposes. It does not provide financial advice, investment recommendations, or trading signals that guarantee profits. All trading involves substantial risk of loss, and past performance does not guarantee future results. Users should conduct their own research, understand the risks involved, and consider consulting with qualified financial advisors before making trading decisions. The signals and analysis provided are based on historical price patterns and volume data, which may not predict future market movements accurately.
Best Practices
Never trade signals blindly - always consider volume profile context
Wait for confluence between multiple tools before entering
Respect the Value Area - avoid buying above VAH or selling below VAL
Use session context - Asian ranges vs London/NY breakouts
Practice proper risk management - position size based on signal quality
Understand the bigger picture - use multiple timeframes for context
Remember: Like the IDKFA cheat code, having all the tools doesn't guarantee success. The key is learning to use them together effectively and understanding when NOT to take a signal is often more important than knowing when to take one.
Bounty SeekerBounty Seeker - Advanced Market Structure & Order Block Detection
A sophisticated indicator that identifies high-probability reversal zones through the analysis of market structure, volume patterns, and institutional order blocks. This tool helps traders spot potential reversals and fake-outs with precision.
Core Components:
1. Pivot Detection System
โข Smart pivot high/low identification
โข Volume-enhanced confirmation
โข RSI confluence validation
โข Real-time market structure analysis
2. Order Block Detection
โข Institutional buying/selling zones
โข Historical support/resistance levels
โข Smart volume threshold analysis
โข Dynamic level adaptation
Signal Types:
1. Bull Pivots (White X)
โข Strong volume confirmation
โข RSI oversold conditions
โข Price action validation
โข Order block confluence
2. Bear Pivots (Purple X)
โข Volume surge confirmation
โข RSI overbought alignment
โข Bearish price action
โข Resistance zone validation
3. Fake Pivots (Orange X)
โข Low volume warning signals
โข Trap zone identification
โข False breakout detection
โข Risk management guide
Visual Elements:
โข Dashed Lines: Order block zones
โข White/Purple X's: Major pivot points
โข Orange X's: Potential fake moves
โข Dynamic support/resistance levels
Best Usage Practices:
โข Most effective on 1H+ timeframes
โข Focus on major market pairs
โข Wait for complete signal formation
โข Combine with trend direction
โข Monitor volume confirmation
โข Use proper position sizing
The indicator excels at:
1. Identifying potential reversal zones
2. Detecting institutional order blocks
3. Warning of potential fake moves
4. Providing clear entry/exit levels
5. Highlighting strong volume zones
Risk Management:
โข Always wait for signal confirmation
โข Use appropriate stop loss levels
โข Consider multiple timeframe analysis
โข Don't trade against major trends
โข Monitor volume for validation
This indicator combines advanced market structure analysis with volume profiling to help traders identify high-probability trading opportunities while warning of potential traps and fake-outs.
Note: Past performance does not guarantee future results. Always use proper risk management techniques.
ICT Unicorn | Flux Charts๐ GENERAL OVERVIEW
Introducing our new ICT Unicorn Indicator! This indicator is built around the ICT's "Unicorn" strategy. The strategy uses Breaker Blocks and Fair Value Gaps for entry confirmation. For more information about the process, check the "HOW DOES IT WORK" section.
Features of the new ICT Unicorn Indicator :
Implementation of ICT's Unicorn Strategy
Toggleable Retracement Entry Method
3 Different TP / SL Methods
Customizable Execution Settings
Customizable Backtesting Dashboard
Alerts for Buy, Sell, TP & SL Signals
๐ HOW DOES IT WORK ?
The ICT Unicorn entry model merges the concepts of Breaker Blocks and Fair Value Gaps (FVGs), offering a distinct method for identifying trade opportunities. By integrating these two elements, we can have a position entry with stop-loss and take-profit targets on the potential support & resistance zones. This model is particularly reliable for trade entry, as it combines two powerful entry techniques.
An ICT Unicorn Model consists of a FVG which is overlapping with a Breaker Block of the same type. Here is an example :
When a FVG overlaps with a Breaker Block of the same type, the indicator gives a Buy or Sell signal depending on the FVG type (Bullish & Bearish). If the "Require Retracement" option is enabled in the settings, the signals are not given immediately. Instead, the current price of the ticker will need to touch the FVG once more before the signals are given.
After the Buy or Sell signal, the indicator immediately draws the take-profit (TP) and stop-loss (SL) targets. The indicator has three different TP & SL modes, explained in the "Settings" section of this write-up.
You can set up alerts for entry and TP & SL signals, and also check the current performance of the indicator and adjust the settings accordingly to the current ticker using the backtesting dashboard.
๐ฉ UNIQUENESS
This indicator is an all-in-one suit for the ICT's Unicorn concept. It's capable of plotting the strategy, giving signals, a backtesting dashboard and alerts feature. Different and customizable algorithm modes will help the trader fine-tune the indicator for the asset they are currently trading. Three different TP / SL modes are available to suit your needs. The backtesting dashboard allows you to see how your settings perform in the current ticker. You can also set up alerts to get informed when the strategy is executable for different tickers.
โ๏ธ SETTINGS
1. General Configuration
FVG Detection Sensitivity -> You may select between Low, Normal, High or Extreme FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
Swing Length -> Swing length is used when finding order block formations. Smaller values will result in finding smaller order & breaker blocks.
Require Retracement ->
a) Disabled : The entry signal is given immediately once a FVG overlaps with a Breaker Block of the same type.
b) Enabled : The current price of the ticker will need to touch the FVG once more before the entry signal is given.
2. TP / SL
TP / SL Method ->
a) Unicorn : This is the default option. The SL will be set to the lowest low of the last 100 bars with an extra offset in a Buy signal. For Sell signals, the SL will be set to the highest high of the last 100 bars with an extra offset. The TP is then set to a value using the SL value and maintaining a risk-reward ratio.
b) Dynamic: The TP / SL zones will be auto-determined by the algorithm based on the Average True Range (ATR) of the current ticker.
c) 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.
FVG LevelsFVG Levels Indicator Description
The FVG Levels indicator dynamically identifies and displays key price zones that may represent fair value gaps and order block areas, helping traders to visually pinpoint potential support and resistance levels directly on the chart.
Key Features
Order Block Identification:
The indicator detects bullish and bearish order blocks by analyzing specific candle patterns. For bullish zones, it checks if a candle two bars ago was bullish (close greater than open) coupled with a subsequent gap condition. Similarly, bearish zones are identified when bearish candle conditions are met with an appropriate gap.
Dynamic Zone Calculation:
It computes critical levels such as the highest highs, lowest lows, highest lows, and lowest highs over a series of recent bars. These levels define the boundaries of potential buy and sell zones and adjust dynamically as new price data comes in.
Visual Representation:
Buy zones are plotted in lime and sell zones in yellow, with the indicator filling the areas between the high and low lines to create clear, shaded bands. This visual aid helps in quickly recognizing zones of potential price reaction.
Chart Overlay:
Designed to work as an overlay, the indicator integrates directly onto your price chart, allowing for seamless correlation between price action and identified zones.
How It Works
Bullish Zones:
When a bullish candle (with the candle's close above its open) is detected along with a significant gap, the indicator marks the upper and lower boundaries of the bullish order block. It further refines these levels by tracking the lowest low and highest high over recent bars to enhance the zone's definition.
Bearish Zones:
In a similar manner, the indicator calculates bearish order blocks by confirming bearish candle conditions and corresponding gap criteria. It then updates the bearish zone levels and computes the highest high and lowest low to establish clear sell zone boundaries.
Usage
Traders can use the FVG Levels indicator to:
Identify potential entry and exit points by observing where price may reverse or consolidate.
Recognize fair value gaps or imbalances that often act as magnet points for price action.
Enhance risk management by using the dynamically calculated zones to set stop-losses or take-profits.
lib_smcLibrary "lib_smc"
This is an adaptation of LuxAlgo's Smart Money Concepts indicator with numerous changes. Main changes include integration of object based plotting, plenty of performance improvements, live tracking of Order Blocks, integration of volume profiles to refine Order Blocks, and many more.
This is a library for developers, if you want this converted into a working strategy, let me know.
buffer(item, len, force_rotate)
โโParameters:
โโโโ item (float)
โโโโ len (int)
โโโโ force_rotate (bool)
buffer(item, len, force_rotate)
โโParameters:
โโโโ item (int)
โโโโ len (int)
โโโโ force_rotate (bool)
buffer(item, len, force_rotate)
โโParameters:
โโโโ item (Profile type from robbatt/lib_profile/32)
โโโโ len (int)
โโโโ force_rotate (bool)
swings(len)
โโINTERNAL: detect swing points (HH and LL) in given range
โโParameters:
โโโโ len (simple int) : range to check for new swing points
โโReturns: values are the price level where and if a new HH or LL was detected, else na
method init(this)
โโNamespace types: OrderBlockConfig
โโParameters:
โโโโ this (OrderBlockConfig)
method delete(this)
โโNamespace types: OrderBlock
โโParameters:
โโโโ this (OrderBlock)
method clear_broken(this, broken_buffer)
โโINTERNAL: delete internal order blocks box coordinates if top/bottom is broken
โโNamespace types: map
โโParameters:
โโโโ this (map)
โโโโ broken_buffer (map)
โโReturns: any_bull_ob_broken, any_bear_ob_broken, broken signals are true if an according order block was broken/mitigated, broken contains the broken block(s)
create_ob(id, mode, start_t, start_i, top, end_t, end_i, bottom, break_price, early_confirmation_price, config, init_plot, force_overlay)
โโINTERNAL: set internal order block coordinates
โโParameters:
โโโโ id (int)
โโโโ mode (int) : 1: bullish, -1 bearish block
โโโโ start_t (int)
โโโโ start_i (int)
โโโโ top (float)
โโโโ end_t (int)
โโโโ end_i (int)
โโโโ bottom (float)
โโโโ break_price (float)
โโโโ early_confirmation_price (float)
โโโโ config (OrderBlockConfig)
โโโโ init_plot (bool)
โโโโ force_overlay (bool)
โโReturns: signals are true if an according order block was broken/mitigated
method align_to_profile(block, align_edge, align_break_price)
โโNamespace types: OrderBlock
โโParameters:
โโโโ block (OrderBlock)
โโโโ align_edge (bool)
โโโโ align_break_price (bool)
method create_profile(block, opens, tops, bottoms, closes, values, resolution, vah_pc, val_pc, args, init_calculated, init_plot, force_overlay)
โโNamespace types: OrderBlock
โโParameters:
โโโโ block (OrderBlock)
โโโโ opens (array)
โโโโ tops (array)
โโโโ bottoms (array)
โโโโ closes (array)
โโโโ values (array)
โโโโ resolution (int)
โโโโ vah_pc (float)
โโโโ val_pc (float)
โโโโ args (ProfileArgs type from robbatt/lib_profile/32)
โโโโ init_calculated (bool)
โโโโ init_plot (bool)
โโโโ force_overlay (bool)
method create_profile(block, resolution, vah_pc, val_pc, args, init_calculated, init_plot, force_overlay)
โโNamespace types: OrderBlock
โโParameters:
โโโโ block (OrderBlock)
โโโโ resolution (int)
โโโโ vah_pc (float)
โโโโ val_pc (float)
โโโโ args (ProfileArgs type from robbatt/lib_profile/32)
โโโโ init_calculated (bool)
โโโโ init_plot (bool)
โโโโ force_overlay (bool)
track_obs(swing_len, hh, ll, top, btm, bull_bos_alert, bull_choch_alert, bear_bos_alert, bear_choch_alert, min_block_size, max_block_size, config_bull, config_bear, init_plot, force_overlay, enabled, extend_blocks, clear_broken_buffer_before, align_edge_to_value_area, align_break_price_to_poc, profile_args_bull, profile_args_bear, use_soft_confirm, soft_confirm_offset, use_retracements_with_FVG_out)
โโParameters:
โโโโ swing_len (int)
โโโโ hh (float)
โโโโ ll (float)
โโโโ top (float)
โโโโ btm (float)
โโโโ bull_bos_alert (bool)
โโโโ bull_choch_alert (bool)
โโโโ bear_bos_alert (bool)
โโโโ bear_choch_alert (bool)
โโโโ min_block_size (float)
โโโโ max_block_size (float)
โโโโ config_bull (OrderBlockConfig)
โโโโ config_bear (OrderBlockConfig)
โโโโ init_plot (bool)
โโโโ force_overlay (bool)
โโโโ enabled (bool)
โโโโ extend_blocks (simple bool)
โโโโ clear_broken_buffer_before (simple bool)
โโโโ align_edge_to_value_area (simple bool)
โโโโ align_break_price_to_poc (simple bool)
โโโโ profile_args_bull (ProfileArgs type from robbatt/lib_profile/32)
โโโโ profile_args_bear (ProfileArgs type from robbatt/lib_profile/32)
โโโโ use_soft_confirm (simple bool)
โโโโ soft_confirm_offset (float)
โโโโ use_retracements_with_FVG_out (simple bool)
method draw(this, config, extend_only)
โโNamespace types: OrderBlock
โโParameters:
โโโโ this (OrderBlock)
โโโโ config (OrderBlockConfig)
โโโโ extend_only (bool)
method draw(blocks, config)
โโINTERNAL: plot order blocks
โโNamespace types: array
โโParameters:
โโโโ blocks (array)
โโโโ config (OrderBlockConfig)
method draw(blocks, config)
โโINTERNAL: plot order blocks
โโNamespace types: map
โโParameters:
โโโโ blocks (map)
โโโโ config (OrderBlockConfig)
method cleanup(this, ob_bull, ob_bear)
โโremoves all Profiles that are older than the latest OrderBlock from this profile buffer
โโNamespace types: array
โโParameters:
โโโโ this (array type from robbatt/lib_profile/32)
โโโโ ob_bull (OrderBlock)
โโโโ ob_bear (OrderBlock)
_plot_swing_points(mode, x, y, show_swing_points, linecolor_swings, keep_history, show_latest_swings_levels, trail_x, trail_y, trend)
โโINTERNAL: plot swing points
โโParameters:
โโโโ mode (int) : 1: bullish, -1 bearish block
โโโโ x (int) : x-coordingate of swing point to plot (bar_index)
โโโโ y (float) : y-coordingate of swing point to plot (price)
โโโโ show_swing_points (bool) : switch to enable/disable plotting of swing point labels
โโโโ linecolor_swings (color) : color for swing point labels and lates level lines
โโโโ keep_history (bool) : weater to remove older swing point labels and only keep the most recent
โโโโ show_latest_swings_levels (bool)
โโโโ trail_x (int) : x-coordinate for latest swing point (bar_index)
โโโโ trail_y (float) : y-coordinate for latest swing point (price)
โโโโ trend (int) : the current trend 1: bullish, -1: bearish, to determine Strong/Weak Low/Highs
_pivot_lvl(mode, trend, hhll_x, hhll, super_hhll, filter_insignificant_internal_breaks)
โโINTERNAL: detect whether a structural level has been broken and if it was in trend direction (BoS) or against trend direction (ChoCh), also track the latest high and low swing points
โโParameters:
โโโโ mode (simple int) : detect 1: bullish, -1 bearish pivot points
โโโโ trend (int) : current trend direction
โโโโ hhll_x (int) : x-coordinate of newly detected hh/ll (bar_index)
โโโโ hhll (float) : y-coordinate of newly detected hh/ll (price)
โโโโ super_hhll (float) : level/y-coordinate of superior hhll (if this is an internal structure pivot level)
โโโโ filter_insignificant_internal_breaks (bool) : if true pivot points / internal structure will be ignored where the wick in trend direction is longer than the opposite (likely to push further in direction of main trend)
โโReturns: coordinates of internal structure that has been broken (x,y): start of structure, (trail_x, trail_y): tracking hh/ll after structure break, (bos_alert, choch_alert): signal whether a structural level has been broken
_plot_structure(x, y, is_bos, is_choch, line_color, line_style, label_style, label_size, keep_history)
โโINTERNAL: plot structural breaks (BoS/ChoCh)
โโParameters:
โโโโ x (int) : x-coordinate of newly broken structure (bar_index)
โโโโ y (float) : y-coordinate of newly broken structure (price)
โโโโ is_bos (bool) : whether this structural break was in trend direction
โโโโ is_choch (bool) : whether this structural break was against trend direction
โโโโ line_color (color) : color for the line connecting the structural level and the breaking candle
โโโโ line_style (string) : style (line.style_dashed/solid) for the line connecting the structural level and the breaking candle
โโโโ label_style (string) : style (label.style_label_down/up) for the label above/below the line connecting the structural level and the breaking candle
โโโโ label_size (string) : size (size.small/tiny) for the label above/below the line connecting the structural level and the breaking candle
โโโโ keep_history (bool) : weater to remove older swing point labels and only keep the most recent
structure_values(length, super_hh, super_ll, filter_insignificant_internal_breaks)
โโdetect (and plot) structural breaks and the resulting new trend
โโParameters:
โโโโ length (simple int) : lookback period for swing point detection
โโโโ super_hh (float) : level/y-coordinate of superior hh (for internal structure detection)
โโโโ super_ll (float) : level/y-coordinate of superior ll (for internal structure detection)
โโโโ filter_insignificant_internal_breaks (bool) : if true pivot points / internal structure will be ignored where the wick in trend direction is longer than the opposite (likely to push further in direction of main trend)
โโReturns: trend: direction 1:bullish -1:bearish, (bull_bos_alert, bull_choch_alert, top_x, top_y, trail_up_x, trail_up): whether and which level broke in a bullish direction, trailing high, (bbear_bos_alert, bear_choch_alert, tm_x, btm_y, trail_dn_x, trail_dn): same in bearish direction
structure_plot(trend, bull_bos_alert, bull_choch_alert, top_x, top_y, trail_up_x, trail_up, hh, bear_bos_alert, bear_choch_alert, btm_x, btm_y, trail_dn_x, trail_dn, ll, color_bull, color_bear, show_swing_points, show_latest_swings_levels, show_bos, show_choch, line_style, label_size, keep_history)
โโdetect (and plot) structural breaks and the resulting new trend
โโParameters:
โโโโ trend (int) : crrent trend 1: bullish, -1: bearish
โโโโ bull_bos_alert (bool) : if there was a bullish bos alert -> plot it
โโโโ bull_choch_alert (bool) : if there was a bullish choch alert -> plot it
โโโโ top_x (int) : latest shwing high x
โโโโ top_y (float) : latest swing high y
โโโโ trail_up_x (int) : trailing high x
โโโโ trail_up (float) : trailing high y
โโโโ hh (float) : if there was a higher high
โโโโ bear_bos_alert (bool) : if there was a bearish bos alert -> plot it
โโโโ bear_choch_alert (bool) : if there was a bearish chock alert -> plot it
โโโโ btm_x (int) : latest swing low x
โโโโ btm_y (float) : latest swing low y
โโโโ trail_dn_x (int) : trailing low x
โโโโ trail_dn (float) : trailing low y
โโโโ ll (float) : if there was a lower low
โโโโ color_bull (color) : color for bullish BoS/ChoCh levels
โโโโ color_bear (color) : color for bearish BoS/ChoCh levels
โโโโ show_swing_points (bool) : whether to plot swing point labels
โโโโ show_latest_swings_levels (bool) : whether to track and plot latest swing point levels with lines
โโโโ show_bos (bool) : whether to plot BoS levels
โโโโ show_choch (bool) : whether to plot ChoCh levels
โโโโ line_style (string) : whether to plot BoS levels
โโโโ label_size (string) : label size of plotted BoS/ChoCh levels
โโโโ keep_history (bool) : weater to remove older swing point labels and only keep the most recent
structure(length, color_bull, color_bear, super_hh, super_ll, filter_insignificant_internal_breaks, show_swing_points, show_latest_swings_levels, show_bos, show_choch, line_style, label_size, keep_history, enabled)
โโdetect (and plot) structural breaks and the resulting new trend
โโParameters:
โโโโ length (simple int) : lookback period for swing point detection
โโโโ color_bull (color) : color for bullish BoS/ChoCh levels
โโโโ color_bear (color) : color for bearish BoS/ChoCh levels
โโโโ super_hh (float) : level/y-coordinate of superior hh (for internal structure detection)
โโโโ super_ll (float) : level/y-coordinate of superior ll (for internal structure detection)
โโโโ filter_insignificant_internal_breaks (bool) : if true pivot points / internal structure will be ignored where the wick in trend direction is longer than the opposite (likely to push further in direction of main trend)
โโโโ show_swing_points (bool) : whether to plot swing point labels
โโโโ show_latest_swings_levels (bool) : whether to track and plot latest swing point levels with lines
โโโโ show_bos (bool) : whether to plot BoS levels
โโโโ show_choch (bool) : whether to plot ChoCh levels
โโโโ line_style (string) : whether to plot BoS levels
โโโโ label_size (string) : label size of plotted BoS/ChoCh levels
โโโโ keep_history (bool) : weater to remove older swing point labels and only keep the most recent
โโโโ enabled (bool)
_check_equal_level(mode, len, eq_threshold, enabled)
โโINTERNAL: detect equal levels (double top/bottom)
โโParameters:
โโโโ mode (int) : detect 1: bullish/high, -1 bearish/low pivot points
โโโโ len (int) : lookback period for equal level (swing point) detection
โโโโ eq_threshold (float) : maximum price offset for a level to be considered equal
โโโโ enabled (bool)
โโReturns: eq_alert whether an equal level was detected and coordinates of the first and the second level/swing point
_plot_equal_level(show_eq, x1, y1, x2, y2, label_txt, label_style, label_size, line_color, line_style, keep_history)
โโINTERNAL: plot equal levels (double top/bottom)
โโParameters:
โโโโ show_eq (bool) : whether to plot the level or not
โโโโ x1 (int) : x-coordinate of the first level / swing point
โโโโ y1 (float) : y-coordinate of the first level / swing point
โโโโ x2 (int) : x-coordinate of the second level / swing point
โโโโ y2 (float) : y-coordinate of the second level / swing point
โโโโ label_txt (string) : text for the label above/below the line connecting the equal levels
โโโโ label_style (string) : style (label.style_label_down/up) for the label above/below the line connecting the equal levels
โโโโ label_size (string) : size (size.tiny) for the label above/below the line connecting the equal levels
โโโโ line_color (color) : color for the line connecting the equal levels (and it's label)
โโโโ line_style (string) : style (line.style_dotted) for the line connecting the equal levels
โโโโ keep_history (bool) : weater to remove older swing point labels and only keep the most recent
equal_levels_values(len, threshold, enabled)
โโdetect (and plot) equal levels (double top/bottom), returns coordinates
โโParameters:
โโโโ len (int) : lookback period for equal level (swing point) detection
โโโโ threshold (float) : maximum price offset for a level to be considered equal
โโโโ enabled (bool) : whether detection is enabled
โโReturns: (eqh_alert, eqh_x1, eqh_y1, eqh_x2, eqh_y2) whether an equal high was detected and coordinates of the first and the second level/swing point, (eql_alert, eql_x1, eql_y1, eql_x2, eql_y2) same for equal lows
equal_levels_plot(eqh_x1, eqh_y1, eqh_x2, eqh_y2, eql_x1, eql_y1, eql_x2, eql_y2, color_eqh, color_eql, show, keep_history)
โโdetect (and plot) equal levels (double top/bottom), returns coordinates
โโParameters:
โโโโ eqh_x1 (int) : coordinates of first point of equal high
โโโโ eqh_y1 (float) : coordinates of first point of equal high
โโโโ eqh_x2 (int) : coordinates of second point of equal high
โโโโ eqh_y2 (float) : coordinates of second point of equal high
โโโโ eql_x1 (int) : coordinates of first point of equal low
โโโโ eql_y1 (float) : coordinates of first point of equal low
โโโโ eql_x2 (int) : coordinates of second point of equal low
โโโโ eql_y2 (float) : coordinates of second point of equal low
โโโโ color_eqh (color) : color for the line connecting the equal highs (and it's label)
โโโโ color_eql (color) : color for the line connecting the equal lows (and it's label)
โโโโ show (bool) : whether plotting is enabled
โโโโ keep_history (bool) : weater to remove older swing point labels and only keep the most recent
โโReturns: (eqh_alert, eqh_x1, eqh_y1, eqh_x2, eqh_y2) whether an equal high was detected and coordinates of the first and the second level/swing point, (eql_alert, eql_x1, eql_y1, eql_x2, eql_y2) same for equal lows
equal_levels(len, threshold, color_eqh, color_eql, enabled, show, keep_history)
โโdetect (and plot) equal levels (double top/bottom)
โโParameters:
โโโโ len (int) : lookback period for equal level (swing point) detection
โโโโ threshold (float) : maximum price offset for a level to be considered equal
โโโโ color_eqh (color) : color for the line connecting the equal highs (and it's label)
โโโโ color_eql (color) : color for the line connecting the equal lows (and it's label)
โโโโ enabled (bool) : whether detection is enabled
โโโโ show (bool) : whether plotting is enabled
โโโโ keep_history (bool) : weater to remove older swing point labels and only keep the most recent
โโReturns: (eqh_alert) whether an equal high was detected, (eql_alert) same for equal lows
_detect_fvg(mode, enabled, o, h, l, c, filter_insignificant_fvgs, change_tf)
โโINTERNAL: detect FVG (fair value gap)
โโParameters:
โโโโ mode (int) : detect 1: bullish, -1 bearish gaps
โโโโ enabled (bool) : whether detection is enabled
โโโโ o (float) : reference source open
โโโโ h (float) : reference source high
โโโโ l (float) : reference source low
โโโโ c (float) : reference source close
โโโโ filter_insignificant_fvgs (bool) : whether to calculate and filter small/insignificant gaps
โโโโ change_tf (bool) : signal when the previous reference timeframe closed, triggers new calculation
โโReturns: whether a new FVG was detected and its top/mid/bottom levels
_clear_broken_fvg(mode, upper_boxes, lower_boxes)
โโINTERNAL: clear mitigated FVGs (fair value gaps)
โโParameters:
โโโโ mode (int) : detect 1: bullish, -1 bearish gaps
โโโโ upper_boxes (array) : array that stores the upper parts of the FVG boxes
โโโโ lower_boxes (array) : array that stores the lower parts of the FVG boxes
_plot_fvg(mode, show, top, mid, btm, border_color, extend_box)
โโINTERNAL: plot (and clear broken) FVG (fair value gap)
โโParameters:
โโโโ mode (int) : plot 1: bullish, -1 bearish gap
โโโโ show (bool) : whether plotting is enabled
โโโโ top (float) : top level of fvg
โโโโ mid (float) : center level of fvg
โโโโ btm (float) : bottom level of fvg
โโโโ border_color (color) : color for the FVG box
โโโโ extend_box (int) : how many bars into the future the FVG box should be extended after detection
fvgs_values(o, h, l, c, filter_insignificant_fvgs, change_tf, enabled)
โโdetect (and plot / clear broken) FVGs (fair value gaps), and return alerts and level values
โโParameters:
โโโโ o (float) : reference source open
โโโโ h (float) : reference source high
โโโโ l (float) : reference source low
โโโโ c (float) : reference source close
โโโโ filter_insignificant_fvgs (bool) : whether to calculate and filter small/insignificant gaps
โโโโ change_tf (bool) : signal when the previous reference timeframe closed, triggers new calculation
โโโโ enabled (bool) : whether detection is enabled
โโReturns: (bullish_fvg_alert, bull_top, bull_mid, bull_btm): whether a new bullish FVG was detected and its top/mid/bottom levels, (bearish_fvg_alert, bear_top, bear_mid, bear_btm): same for bearish FVGs
fvgs_plot(bullish_fvg_alert, bull_top, bull_mid, bull_btm, bearish_fvg_alert, bear_top, bear_mid, bear_btm, color_bull, color_bear, extend_box, show)
โโParameters:
โโโโ bullish_fvg_alert (bool)
โโโโ bull_top (float)
โโโโ bull_mid (float)
โโโโ bull_btm (float)
โโโโ bearish_fvg_alert (bool)
โโโโ bear_top (float)
โโโโ bear_mid (float)
โโโโ bear_btm (float)
โโโโ color_bull (color) : color for bullish FVG boxes
โโโโ color_bear (color) : color for bearish FVG boxes
โโโโ extend_box (int) : how many bars into the future the FVG box should be extended after detection
โโโโ show (bool) : whether plotting is enabled
โโReturns: (bullish_fvg_alert, bull_top, bull_mid, bull_btm): whether a new bullish FVG was detected and its top/mid/bottom levels, (bearish_fvg_alert, bear_top, bear_mid, bear_btm): same for bearish FVGs
fvgs(o, h, l, c, filter_insignificant_fvgs, change_tf, color_bull, color_bear, extend_box, enabled, show)
โโdetect (and plot / clear broken) FVGs (fair value gaps)
โโParameters:
โโโโ o (float) : reference source open
โโโโ h (float) : reference source high
โโโโ l (float) : reference source low
โโโโ c (float) : reference source close
โโโโ filter_insignificant_fvgs (bool) : whether to calculate and filter small/insignificant gaps
โโโโ change_tf (bool) : signal when the previous reference timeframe closed, triggers new calculation
โโโโ color_bull (color) : color for bullish FVG boxes
โโโโ color_bear (color) : color for bearish FVG boxes
โโโโ extend_box (int) : how many bars into the future the FVG box should be extended after detection
โโโโ enabled (bool) : whether detection is enabled
โโโโ show (bool) : whether plotting is enabled
โโReturns: (bullish_fvg_alert): whether a new bullish FVG was detected, (bearish_fvg_alert): same for bearish FVGs
OrderBlock
โโFields:
โโโโ id (series int)
โโโโ dir (series int)
โโโโ left_top (chart.point)
โโโโ right_bottom (chart.point)
โโโโ break_price (series float)
โโโโ early_confirmation_price (series float)
โโโโ ltf_high (array)
โโโโ ltf_low (array)
โโโโ ltf_volume (array)
โโโโ plot (Box type from robbatt/lib_plot_objects/49)
โโโโ profile (Profile type from robbatt/lib_profile/32)
โโโโ trailing (series bool)
โโโโ extending (series bool)
โโโโ awaiting_confirmation (series bool)
โโโโ touched_break_price_before_confirmation (series bool)
โโโโ soft_confirmed (series bool)
โโโโ has_fvg_out (series bool)
โโโโ hidden (series bool)
โโโโ broken (series bool)
OrderBlockConfig
โโFields:
โโโโ show (series bool)
โโโโ show_last (series int)
โโโโ show_id (series bool)
โโโโ show_profile (series bool)
โโโโ args (BoxArgs type from robbatt/lib_plot_objects/49)
โโโโ txt (series string)
โโโโ txt_args (BoxTextArgs type from robbatt/lib_plot_objects/49)
โโโโ delete_when_broken (series bool)
โโโโ broken_args (BoxArgs type from robbatt/lib_plot_objects/49)
โโโโ broken_txt (series string)
โโโโ broken_txt_args (BoxTextArgs type from robbatt/lib_plot_objects/49)
โโโโ broken_profile_args (ProfileArgs type from robbatt/lib_profile/32)
โโโโ use_profile (series bool)
โโโโ profile_args (ProfileArgs type from robbatt/lib_profile/32)
OrderBlock [kyleAlgo]The principle of this indicator
ATR (Average True Range) Setting: The code uses ATR to help calculate the Supertrend indicator.
Supertrend Trend Direction: Identify bullish and bearish trends with the Supertrend method.
Order Block Recognition: This part of the code recognizes and creates order blocks, visualizing them as boxes on the chart. If the number of blocks exceeds the maximum limit, old blocks will be deleted.
Function to prevent overlapping: check whether the new order block overlaps with the existing order block through the isOverlapping function.
Order block color setting: The code sets the color according to whether the block is bullish or bearish, and whether it breaks above or below. Afterwards the color of the existing order blocks will be updated.
Sensitivity settings: Through the input settings of factor and atrPeriod, the sensitivity of Supertrend and the detection of order blocks can be affected.
Visualization: Use TradingView's box.new function to draw and visualize order blocks on the chart.
Practicality:
Support and Resistance Levels: Order blocks may represent areas of support and resistance in the market. By visualizing these areas, traders can better understand when price reversals are likely to occur.
Trading Signals: Traders may be able to identify trading signals based on the color changes of blocks and price breakouts. For example, if the price breaks above a bullish block, this could be a signal to buy.
Risk Management: By using ATR to adjust the sensitivity of Supertrend, the symbol helps traders to adjust their strategies according to market volatility. This can be used as a risk management tool to help identify stop loss and take profit points.
Multi-timeframe analysis: Although the code itself does not implement multi-timeframe analysis directly, it can be done by applying this indicator on different timeframes. This helps to analyze the market from different angles.
Flexibility and Customization: Through sensitivity settings, traders can customize the indicator according to their needs and trading style.
Reduced screen clutter: By removing overlapping order blocks and limiting the maximum number of order blocks, this code helps reduce clutter on charts, allowing traders to analyze the market more clearly.
Overall, this "Pine Script" can be a powerful analytical tool for trend traders and those looking to improve their trading decisions by visualizing key market areas. It can be used alone or combined with other indicators and trading systems for enhanced functionality.
