Volume Profile Heatmap [UAlgo]The "Volume Profile Heatmap " indicator is a tool designed to visualize the distribution of trading volume across different price levels over a specified period. This heatmap-style indicator helps traders identify significant price levels where a high volume of trading activity has occurred, which can be crucial for making informed trading decisions. The indicator divides the price range into multiple levels and calculates the volume of trades occurring at each level, presenting this data in a visually intuitive manner using a gradient of colors.
By analyzing the volume profile, traders can gain insights into areas of support and resistance, as well as the Point of Control (POC)—the price level with the highest traded volume. This information is valuable in assessing market sentiment, potential reversal points, and key areas of interest where price action might consolidate or react.
🔶 Key Features
Customizable Analysis Period: The indicator allows users to specify the analysis period, defining the historical range over which the volume profile is calculated.
Adjustable Number of Levels: Users can set the number of price levels to divide the price range, offering flexibility in the granularity of the volume analysis.
Color-Coded Heatmap: The indicator uses a gradient color scheme to visually represent volume intensity at each price level. Higher volume areas are shaded differently than lower volume areas, making it easy to spot significant price levels.
Opacity Control: Users can adjust the opacity of the volume boxes, enabling a clearer or more subtle visualization according to their preferences.
Point of Control (POC) Display: The indicator highlights the Point of Control, the price level with the highest traded volume, with a distinct line on the chart, allowing traders to easily identify this critical level.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
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Market Core [BigBeluga]MARKET CORE Toolkit
The BigBeluga Market Core Toolkit is a comprehensive suite of advanced trading indicators designed to provide traders with a holistic view of market dynamics, structure, and potential opportunities.
In an ever-evolving market, relying on a single indicator can leave traders vulnerable to gaps in their analysis. The BigBeluga Market Core Toolkit addresses this challenge by integrating a range of complementary indicators that work synergistically to reveal the full picture. From detecting key support and resistance levels to identifying market structure shifts, volume imbalances, inefficiencies or analysis of money flow, this toolkit covers every aspect of market behavior.
⬤ Order Blocks
BigBeluga Order Blocks revolutionize the way traders visualize potential areas of significant market activity. Unlike traditional order block indicators that often result in cluttered, noisy charts, these Order Blocks are designed for clarity and effectiveness. They simulate and predict where large areas of market orders may rest by analyzing volume and volatility, providing excellent support or resistance areas.
The blocks offer cleaner chart presentation with reasonable distribution, volume ratio visualization within each block, and categorization into Strong, High and Balanced blocks.
Additionally, a third line has been introduced to rank order blocks by volume using a modified percent rank method for more precise ranking.
This ranking system uses percentile ranks, a concept commonly used in standardized tests. In the context of order blocks, the percentile rank of a particular order block's volume is interpreted as the percentage of the order blocks strength. This method provides a more nuanced and statistically robust way of comparing and prioritizing order blocks.
Key features:
Cleaner chart presentation with reasonable distribution of blocks
Volume ratio visualization within each block (bullish vs bearish)
Categorization into High and Balanced blocks for easy identification of significant levels
Relative volume percentage and volume delta display
Advanced ranking system using modified percent rank method for volume comparison
These Order Blocks help traders:
Forecast excellent support or resistance areas
Gain insight into the balance of the market at specific levels
Identify significant market levels at a glance
Visualize market imbalances through volume delta
Prioritize order blocks based on their relative volume importance
Make more informed decisions about potential entry and exit points
⬤ Beluga Profile
The Beluga Profile is a revolutionary market analysis tool that transforms complex market data into a clear, intuitive visual narrative. At its core, it combines a Dual-Profile Analysis, merging Delta Volume Profile with Money Flow Profile to give traders a comprehensive view of market dynamics.
The percentage scale on the left side aren't just numbers; they represent the Levels Strength Percentage, a crucial ranking system that immediately draws your attention to the most significant price zones. Complementing this, a heat map overlay brings these strength levels to life, offering an instant, color-coded representation of where the market's most influential areas lie.
To the right, a detailed breakdown of volume and money flow for each level provides the hard data behind the visual cues. This granular information allows you to dive deep into the market's structure, understanding not just where the significant levels are, but why they matter.
Below the main chart, the Delta Volume Bar serves as a foundation, showing the average delta of the volume profile. This bar is more than just a measure of volume – it's a window into the underlying forces driving price movement. Just above this bar, a macro trend indicator in the form of an arrow offers a quick, clear signal of the overall market direction based on these delta volume calculations.
But the Beluga Profile doesn't just show you what's happening – it helps you understand the 'why' and 'how'. The Adaptive Points of Interest feature allows you to customize your analysis, focusing on the areas that matter most to your trading strategy. You can select from various options including Money Flow, Delta+, Delta-, Volume+, and Level % (Highest), tailoring the display to your specific analytical needs. This flexibility ensures you can focus on the most relevant data for your trading style. Real-time Active Price Tracking ensures you're always in sync with the latest market movements.
All of these elements work in concert, creating a symphony of market information. They empower you to:
Spot key price levels with uncanny precision
Foresee potential market turns before they happen
Grasp the quality and strength of price moves
Adjust your strategy on the fly as market conditions shift
Develop a holistic understanding of market structure and participant behavior
Make informed decisions backed by a clear view of the overall market trend
In essence, the Beluga Profile isn't just a tool – it's your market storyteller, translating the complex language of price, volume, and money flow into a narrative that you can understand and act upon with confidence.
⬤ Smart Money Concepts (SMC)
The Smart Money Concepts component of the toolkit focuses on automatically detecting key market structures crucial in technical analysis. It identifies and visualizes Break of Structure (BOS) and Change of Character (CHOCH) patterns, helping traders spot potential trend reversals and significant market movements. This includes BOS identification when price breaks previous support or resistance and CHOCH detection for potential trend reversals, with automatic detection of both bullish and bearish patterns.
The latest enhancement to this feature adds a new layer of analysis through Delta Volume Calculation. When a BOS or CHOCH is detected, the toolkit calculates the delta volume within the range from the high or low point to the break point. This analysis considers all the candles in this range and determines whether the volume is predominantly bullish, bearish, or neutral.
Bullish Volume: If the delta volume is bullish, a green diamond is plotted at the high or low point, indicating potential upward momentum.
Bearish Volume: If the delta volume is bearish, a red diamond is plotted, suggesting downward pressure.
Neutral Volume: When the volume is neutral, a yellow diamond is displayed, indicating a balance in buying and selling forces.
This visual representation of volume dynamics provides an additional layer of insight, helping traders assess the strength and direction of price movements following a structure break. You can see an example of this on the attached image, where the diamonds clearly indicate the type of volume driving the breakout.
The toolkit also incorporates Fair Value Gap (FVG) Detection. Fair Value Gaps represent inefficiencies in the market, where there is an imbalance between buy and sell orders. These gaps often act as magnets for price, potentially leading to future reversals or continuations when filled. The toolkit identifies and highlights these gaps, allowing traders to recognize areas where the market may seek to rebalance.
Additionally, Double Top and Bottom Pattern Detection has been integrated, identifying potential reversal points at these classic price formations. Double tops signal potential bearish reversals after a price peak, while double bottoms suggest potential bullish reversals after a price dip. These patterns can be crucial indicators for traders looking to capitalize on upcoming trend changes.
Smart Money Concepts help traders:
Identify potential trend reversals early with a clearer view of market structure.
Recognize significant changes in market structure and volume participation.
Differentiate between temporary pullbacks and genuine trend changes using volume insights (color coded diamonds).
Shows Fair Value gaps which helps to identify price momentum and inefficiencies in the market.
This enhancement ensures that traders can not only see structural changes but also understand the volume behind those moves, leading to more informed and confident trading decisions.
⬤ Support and Resistance Levels
This powerful tool is designed to identify key price levels in the market, providing traders with a clear visual representation of potential support and resistance areas. It goes beyond simple level identification by incorporating a sophisticated ranking system and adjustable sensitivity.
The grading system of levels is a unique feature that evaluates the significance of high and low points in the price action. It takes into consideration how many times the price has touched or interacted with specific levels. This means that levels which have been tested multiple times are given higher importance in the ranking. For example, a price level that has acted as support or resistance three times will be ranked higher than a level that has only been touched once.
By leveraging this grading system, traders can focus on the most significant levels that have repeatedly influenced price action, potentially improving the accuracy of their trading decisions and risk management strategies.
This Support and Resistance Levels indicator helps traders:
Identify and prioritize potential reversal points based on their historical significance and frequency of price interaction
Set more accurate entry and exit points aligned with key market levels, focusing on those with higher ranking
Understand the hierarchical structure of market support and resistance, distinguishing between major and minor levels
Plan stop-loss and take-profit levels with greater precision, using the ranking to gauge the strength of each level
Adapt their analysis to varying market strengths and volatilities, with the ability to filter out less significant levels
Recognize recurring price patterns and potential breakout levels based on the ranked historical price interactions
⬤ How to Use the Toolkit
Each of these indicators, while powerful on its own, works synergistically with the others to provide a more complete picture of the market.
The strength of this toolkit lies in its ability to analyze the market from multiple perspectives
Combining these advanced trading indicators into a cohesive toolkit empowers traders with a comprehensive, multi-dimensional view of the market that no single indicator could provide on its own. The market's complexity demands an approach that goes beyond relying on just one aspect, such as price action, volume, or order flow. Integrating these diverse indicators creates a robust analytical framework that captures the market from multiple angles, leading to more accurate insights and better-informed decision-making.
Analyze Order Blocks to identify potential support/resistance and volume imbalances
Use Beluga Profile for comprehensive market structure and trend analysis
Monitor SMC indicators for potential trend reversals and breakouts
Utilize Support and Resistance Levels for precise entry/exit points and risk management
Combine insights from all tools for a multi-dimensional view of market conditions
⬤ Customization
Each component of the toolkit offers various customization options to suit different trading styles and preferences. These inputs allow traders to adjust settings to better fit their analysis needs and strategies:
Order Blocks
- Order Blocks : Set the amount of Order Blocks on the chart.
- Color Selection : Choose the color for highlighting the order blocks on your chart.
Market Structure
- Sensitivity : Adjust the sensitivity for detecting market structure breaks. Higher sensitivity will detect more granular breaks, while lower sensitivity focuses on more significant movements.
- Data : Enable or disable the display of market structure data.
- Zigzag Option : Toggle Zigzag displays from highs and lows.
S/R (Support and Resistance)
- Sensitivity : Control how sensitive the tool is in detecting support and resistance levels. Lower sensitivity will highlight fewer but stronger levels, while higher sensitivity may reveal more levels.
- Width % : Adjust the width of the support and resistance zones to visually emphasize their importance.
- Color Selection : Choose colors for both support and resistance levels for better clarity.
FVG (Fair Value Gap)
- Max : Set the maximum number of fair value gaps to display. Higher values will show more gaps, while lower values will focus on the most prominent ones.
- Color Selection : Customize the color for the fair value gap areas.
Volume Profile
- Length : Define the look-back period for the volume profile analysis. A longer length considers more historical data, while a shorter length focuses on recent data.
- Levs : Choose the number of volume levels to display, allowing for more or fewer volume bars within the profile.
- BG : Enable or disable background shading for the volume profile.
- HeatMap : Activate or deactivate the heat map overlay for volume intensity visualization.
- POC (Point of Control) : Toggle the Point of Control display and choose between different metrics, such as volume+, money flow, Delta+ and Delta-, Level % (Highesr), to base the POC on.
- Color Selection : Customize the color for the Point of Control line.
These customization options provide traders with the flexibility to tailor the toolkit to their specific trading strategies, enhancing their ability to identify key market signals with precision.
Each component of the toolkit offers various customization options to suit different trading styles and preferences.
The BigBeluga Market Core Toolkit synthesizes complex market data into clear, actionable formats, providing traders with professional-level insights. It's a comprehensive market analysis system that can give traders a significant edge in understanding market behavior and identifying high-probability trade setups. While highly effective, it's recommended to use this toolkit in conjunction with fundamental analysis and sound risk management practices for optimal trading results.
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VP demo(Rolling period)Introduction
In the native VP (Volume Profile), the commonly referenced parameters are POC (Point of Control), VAH (Value Area High), and VAL (Value Area Low). However, since VAH and VAL are calculated by extending outward from the POC, their values heavily depend on the shape of the VP and the parameter settings of the value area ratio. This means their significance in identifying support and resistance in the market is limited. Based on VP, my algorithm is designed with two additional methods to identify low-volume points within a rolling time period, using them as reference points for support and resistance.
Current Algorithm Issues
When the candles update, you might notice overlapping support and resistance lines on the chart, or multiple lines appearing near the same location. This is due to TradingView's rendering issue, where old support and resistance lines that have been deleted in the code are not promptly removed from the chart. You only need to refer to the support and resistance lines that extend to the latest candle. If some lines remain at previous candles, it indicates that these points are outdated. As new candles continue to form, these lagging support and resistance lines will automatically disappear once the number of new candles reaches a certain threshold. Additionally, during significant market movements, you may see a large number of red lines. This is because the algorithm does not yet fully recognize abnormal market conditions. Future versions will gradually improve this aspect.
BigBeluga - Smart Money ConceptsSmart Money Concepts (SMC) is a comprehensive toolkit built around the around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors.
SMC transcends traditional technical analysis by delving deeper into this framework. This approach allows users to decipher the actions of these influential players, anticipate their potential impact on market dynamics, and gain insights beyond just price movements.
This all-in-one toolkit provide the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas.
🔹Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels.
🔹Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions.
🔹Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit
🔹Swing failure patterns help traders identify potential entry points and rejection zones based on price swings
🔹Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edger to make informed trading decisions based on multi-timeframe liquidity dynamics
🔶 FEATURES
The indicator has quite a lot of features that are provided below:
Swing market structure
Internal market structure
Mapping structure
Discount/Premium zone
Adjustable market structure
Strong/Weak H&L
Sweep
Volumetric Order block / Breakers
Fair Value Gaps / Breakers (multi-timeframe)
Swing Failure Patterns (multi-timeframe)
Deviation area
Equal H&L
Liquidity Prints
Buyside & Sellside
Sweep Area
Highs and Lows (multi-timeframe)
🔶 BASIC DEMONSTRATION
The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator.
Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x').
Dotted lines: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals.
Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions.
🔶 USAGE & EXAMPLES
The image above showcases a detailed example of several features from our toolkit that can be used in conjunction for a comprehensive analysis.
Price rejecting from the bullish order block (POC), while printing inside a bullish SFP and internal structure turning bullish (Internal CHoCH).
The image further demonstrates how two bearish order blocks could potentially act as resistance zones when prices approach those levels. These areas might also offer attractive locations to place take-profit orders.
The price has reached our first take-profit level, but is exhibiting some signs of weakness, suggesting a potential pullback which could put the trade at higher risk.
On the other hand, the price action currently exhibits strong bullish sentiment, suggesting favorable entry points and a potential upward trend.
The price has now fully reached our take-profit zone and is also exhibiting bearish confluence, indicating a potential price reversal or trend shift.
🔶 USING CONFLUENCE
The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades.
In the image above we can see a few examples of the indicator used in confluence with other metrics included in the toolkit.
Liquidity Prints within order blocks
SFP close to the POC
Sweep in liquidity close to a fair value gaps
These are just a few examples of what applying confluence can look like.
🔶 SETTINGS
Window: limit calculation period
Swing: limit drawing function
Internal: a period of the beginning of the internal structure
Mapping structure: show structural points
Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation
Algorithmic loopback: pivot point look back
Premium / Discount: Lookback period of the pivot point calculation
Show Last: Amount of Order block to display
Hide Overlap: hide overlapping order blocks
Construction: Size of the order blocks
Fair value gaps: Choose between normal FVG or Breaker FVG
Mitigation: (close - wick- avg) point to mitigate the order block/imbalance
SFP lookback: find a higher / lower point to improve accuracy
Threshold: remove less relevant SFP
Equal h&L: (short-mid-long term) display longer term
Any Alert(): Trigger alerts based on the selected inputs
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All Support and Resistance Levels [PINESCRIPTLABS]First, we observe the Light Blue Macro Supports and the Pink Macro Resistances. These channels are automatically formed based on market data, identifying pivot points in price history and determining the strength of these levels based on the number of pivot points within these same channels. When the price interacts with the macro Supports, we have a strong reaction that we can take advantage of in two ways:
1. The first and most common, as we can see in the chart, is that these zones elicit a strong reaction, and the price respects the channel. For us, as traders, it signifies a pivot point where we can initiate a trade, either a buy at the macro Support or a sell at the macro Resistance.
2. The second way to use them, for which this algorithm is also prepared, is in case a movement occurs where the price breaks these Macro Supports or Macro Resistances. We have a special alert that will notify us because when these macro channels are broken, they tend to do so violently in a move that we can also capitalize on. Usually, when such a breakout occurs, we will visit the next support or resistance channel, which can bring us significant benefits.
The following complex and highly accurate calculation provided by this indicator allows us to work with price supports and resistances within the internal structure of macro channels. As we can see in the chart, "boxes" are formed that represent the detected support and resistance areas. It also detects breakouts when the price crosses below the support "box" or above the resistance "box" and displays labels on the chart indicating when the breakout occurred, all in real-time. But here comes something very special: the algorithm also has a calculation that, as we see in the chart, there are occasions when the breakout occurs, but the price returns to the support or resistance "box" and is detected. At this moment, a label appears on the chart indicating a possible confirmation of the breakout. In other words, as the price initially broke out but returned to the "box," the algorithm will notify us with another label and a special alert when the price confirms the breakout.
At the same time, we can see in the chart that the algorithm also provides us with a volume profile that allows us to see where the most trading activity has concentrated based on price levels. We can also use it to identify support and resistance levels based on the point of control (POC) and value area levels. As we can see in the chart, there are labels with the exact price where the highest volume was traded. The top label in the chart shows the highest price, and the last label we see is for the lowest price. These displayed labels are within the defined range of retrocession or Lookback Length, which we can configure in our indicator. As we observe, the algorithm shows a strong confluence between the Macro Support channels and the volume profile labels, confirming the strongest areas of the range.
Finally, after calculating supports and resistances from three different perspectives, the algorithm provides us with a macro view of the price in the form of trend lines. In other words, it shows us supports and resistances in the form of diagonal channels where we can see trends in the market and areas where the price has historically encountered difficulties in advancing or retreating, which we can corroborate with the supports and resistances mentioned at the beginning.
As we can see in the chart, the algorithm also shows us labels with the exact price where angular price supports and resistances are located. These calculations are very important as they provide a trend perspective, and we can get an idea of where the price is headed, combining these with the other support and resistance calculations.
Remember that all the previous calculations have their own alerts for when supports or resistances are broken, or in the case of new channels being created, also when there is a breakout of a box or a confirmation of a breakout.
The second type of alert from the indicator is configured to make our indicators work for us without the need to be present on the chart, thanks to special programming within the indicator's code. It will execute automatic buys and sells on our preferred exchange through an alert configured for the 3Commas bot. All you need to do is input your Bot ID, provided by 3Commas, into the alert. All premium indicators come with a configuration explanation that will guide you in detail on where to input your Bot ID.
ESPAÑOL:
En primer lugar, observamos los Macro Soportes en color azul claro y las Macro Resistencias en color rosa. Estos canales se forman automáticamente en función de los datos del mercado, identificando puntos de pivote en el historial de precios y determinando la fuerza de estos niveles según la cantidad de puntos de pivote dentro de estos mismos canales. Cuando el precio interactúa con los macro Soportes, tenemos una fuerte reacción que podemos aprovechar de dos formas:
1. La primera y más común, como observamos en el gráfico, es que estas zonas provocan una fuerte reacción, y el precio respeta el canal. Para nosotros, como traders, significa un punto de pivote donde podemos generar una entrada, ya sea de compra en el macro soporte o de venta en la macro resistencia.
2. La segunda forma de utilizarlos, para la cual este algoritmo también está preparado, es en caso de que se genere un movimiento en el que el precio rompa estos Macro Soportes o Macro Resistencias. Contamos con una alerta especial que nos avisará, ya que al romperse estos macro canales suelen hacerlo con violencia en un movimiento que también podemos aprovechar. Regularmente, cuando existe este rompimiento, visitaremos el siguiente canal de soporte o resistencia, lo que nos puede traer grandes beneficios.
El siguiente cálculo complejo y muy preciso que nos ofrece este indicador nos permite trabajar con soportes y resistencias del precio dentro de la estructura interna de los canales macro. Como observamos en el gráfico, se producen "boxes" que representan las áreas de soporte y resistencia detectadas. Además, detecta breakouts cuando el precio cruza por debajo del "box" de soporte o por encima del "box" de resistencia y muestra etiquetas en el gráfico que nos indican cuándo ocurrió el breakout, todo esto en tiempo real. Pero aquí viene algo super especial: el algoritmo también tiene un cálculo que, como vemos en el gráfico, hay ocasiones en las que el breakout ocurre, pero el precio retorna al "box" de soporte o resistencia y es detectado. En este momento, aparece una etiqueta en el gráfico que nos muestra que estamos ante una posible confirmación del breakout. Es decir, como el precio había hecho en primer lugar el breakout pero regresó al "box", el algoritmo nos avisará con otra etiqueta y alerta especial cuando el precio confirme el breakout.
Al mismo tiempo, observamos en el gráfico que el algoritmo también nos muestra un perfil de volumen que nos permite ver dónde se ha concentrado la mayor actividad de negociación en función de los niveles de precios. También podemos usarlo para identificar niveles de soporte y resistencia basados en el punto de control (POC) y los niveles de valor (Value Area). Como vemos en el gráfico, tenemos etiquetas con el precio exacto donde se negoció la mayor cantidad de volumen. La etiqueta superior del gráfico nos muestra el precio más alto, y la última etiqueta que observamos es la de la parte baja, que nos indica el precio más bajo. Estas etiquetas mostradas están dentro del rango de retroceso definido o Lookback Length, que podemos configurar en nuestro indicador. Como observamos, el algoritmo nos muestra una fuerte confluencia entre los canales de soporte Macro y las etiquetas del perfil de volumen, lo que nos confirma las áreas más fuertes del rango.
Por último, después de hacer los cálculos de soportes y resistencias desde tres perspectivas distintas, el algoritmo nos proporciona una visión macro del precio en forma de líneas de tendencia. Es decir, nos muestra soportes y resistencias en forma de canales diagonales donde tendremos representadas las tendencias en el mercado y áreas en las que el precio históricamente ha encontrado dificultades para avanzar o retroceder, lo que podemos corroborar con los soportes y resistencias de los que hablamos al principio.
Como observamos en el gráfico, el algoritmo también nos muestra las etiquetas con el precio exacto donde se encuentran los soportes angulares del precio y las resistencias angulares. Estos cálculos son importantísimos, ya que nos ofrecen una perspectiva de tendencia y podemos tener una visión de hacia dónde se dirige el precio, combinando estos con los otros cálculos de soportes y resistencias.
Recuerden que todos los cálculos anteriores tienen su propia alerta para cuando los soportes o resistencias se quiebren o en su caso, se creen nuevos canales, también cuando haya una ruptura de un "box" o una confirmación de ruptura.
El segundo tipo de alerta del indicador está configurada para que nuestros indicadores trabajen para nosotros sin necesidad de estar presentes en el gráfico, esto mediante una programación especial dentro del código del indicador que realizará compras y ventas automáticas en nuestro Exchange de preferencia mediante una alerta configurada para el bot 3Commas. Solo bastará con que pongamos nuestro número de Bot o Bot ID que da el proveedor de 3Commas y lo insertemos en la alerta. Todos los indicadores premium tienen en su configuración una explicación detallada sobre dónde poner tus Bot ID.
Supply Demand Profiles [LuxAlgo]The Supply Demand Profiles is a charting tool that measures the traded volume at all price levels on the market over a specified time period and highlights the relationship between the price of a given asset and the willingness of traders to either buy or sell it, in other words, highlights key concepts as significant supply & demand zones, the distribution of the traded volume, and market sentiment at specific price levels within a specified time period, allowing traders to reveal dominant and/or significant price levels and to analyze the trading activity of a particular user-selected range.
In other words, this tool highlights key concepts as significant supply & demand zones, the distribution of the traded volume, and market sentiment at specific price levels within a specified time period, allowing traders to reveal dominant and/or significant price levels and to analyze the trading activity of a particular user-selected range.
Besides having the tool as a combo tool, the uniqueness of this version of the tool compared to its early versions is its ability to benefit from different volume data sources and its ability to use a variety of different polarity methods, where polarity is a measure used to divide the total volume into either up volume (trades that moved the price up) or down volume (trades that moved the price down).
🔶 USAGE
Supply & demand zones are presented as horizontal zones across the selected range, hence adding the ability to visualize the price interaction with them
By default, the right side of the profile is the volume profile which highlights the distribution of the traded activity at different price levels, emphasizing the value area, the range of price levels in which the specified percentage of all volume was traded during the time period, and levels of significance, such as developing point of control line, value area high/low lines, and profile high/low labels
The left side of the profile is the sentiment profile which highlights the market sentiment at specific price levels
🔶 DETAILS
🔹 Volume data sources
The users have the option to select volume data sources as either 'volume' (regular volume) or 'volume delta', where volume represents all the recorded trades that occur at a given bar and volume delta is the difference between the buying and the selling volume, that is, the net demand at a given bar
🔹 Polarity methods
The users are able to choose the methods of how the tool to take into consideration the polarity of the bar (the direction of a bar, green (bullish) or red (bearish) bar) among a variety of different options, such as 'bar polarity', 'bar buying/selling pressure', 'intrabar (chart bars at a lower timeframe than the chart's) polarity', 'intrabar buying/selling pressure', and 'heikin ashi bar polarity'.
Finally, the interactive mode of the tool is activated, as such users can easily modify the intervals of their interest just by selecting the indicator and moving the points on the chart
🔶 SETTINGS
The script takes into account user-defined parameters and plots the profiles and zones
🔹 Calculation Settings
Volume Data Source and Polarity: This option is to set the desired volume data source and polarity method
Lower Timeframe Precision: This option is applicable in case any of the 'Intrabar (LTF)' options are selected, please check the tooltip for further details
Value Area Volume %: Specifies the percentage for the value area calculation
🔹 Presentation Settings
Supply & Demand Zones: Toggles the visibility of the supply & demand zones
Volume Profile: Toggles the visibility of the volume profile
Sentiment Profile: Toggles the visibility of the sentiment profile
🔹 Presentation, Others
Value Area High (VAH): Toggles the visibility of the VAH line and color customization option
Point of Control (POC): Toggles the visibility of the developing POC line and color customization option
Value Area Low (VAL): Toggles the visibility of the VAL line and color customization option
🔹 Supply & Demand, Others
Supply & Demand Threshold %: This option is used to set the threshold value to determine supply & demand zones
Supply/Demand Zones: Color customization option
🔹 Volume Profile, Others
Profile, Up/Down Volume: Color customization option
Value Area, Up/Down Volume: Color customization option
🔹 Sentiment Profile, Others
Sentiment, Bullish/Bearish: Color customization option
Value Area, Bullish/Bearish: Color customization option
🔹 Others
Number of Rows: Specify how many rows the profile will have
Placment: Specify where to display the profile
Profile Width %: Alters the width of the rows in the profile, relative to the profile range
Profile Price Levels: Toggles the visibility of the profile price levels
Profile Background, Color: Fills the background of the profile range
Value Area Background, Color: Fills the background of the value area range
Start Calculation/End Calculation: The tool is interactive, where the user may modify the range by selecting the indicator and moving the points on the chart or can set the start/end time using these options
🔶 RELATED SCRIPTS
Volume-Profile
Volume-Profile-Maps
Volume-Delta
Time Profile [QuantVue]The Time Profile indicator provides traders with a comprehensive view of volume and time-based price activity. The indicator combines two essential components into one indicator: the volume profile and the time profile.
The volume profile represents the distribution of trading volume at different price levels over a specified period and is displayed as a circle on the chart.
It provides a visual representation of where the majority of trading volume occurred and often highlights significant support and resistance levels. The volume profile is calculated as the closing price of the highest volume intraday bar, based on the user selected lower time frame.
On the other hand, the time profile focuses on analyzing the time spent at certain price levels. The indicator divides the current bars range into 10 blocks and counts the number of user selected lower time frame closes within each time block.
The block with the most lower time frame closes in it is deemed the time point of control. Traders can use this information to identify time blocks where price movement was most significant.
The time profile is drawn on the Y axis of the current bar to allow for an easy visualization of where price spent most of its time. Historical time profiles are also noted on previous bars with a dash marking the level.
The Time Profile indicator offers several customization options. Traders can adjust the timeframe for the lower time frame data, decide whether to display the time profile, and customize colors for visual clarity.
Additionally, traders can choose to highlight instances where the Volume POC and Time POC align, indicating a strong concentration of volume and price activity.
Don't hesitate to reach out with any questions or concerns.
We hope you enjoy!
Cheers.
Net Positions (Net Longs & Net Shorts) - By LeviathanThis script is an experimental indicator that visualizes the entering and exiting of long and short positions in the market. It also includes other useful tools, such as NL/NS Profile, NL/NS Delta, NL/NS Ratio, Volume Heatmap, Divergence finder, Relative Strength Index of Net Longs and Net Shorts, EMAs and VWMAs and more.
To avoid misinterpretation, it's important to understand some basics. The “real” ratio between net long and net short positions in a given market is always 1:1. A futures contract is an agreement between two parties to buy or sell an underlying asset at an agreed-upon price. Each contract has a long side and a short side, with one party agreeing to buy (long) and the other party agreeing to sell (short) the asset at the agreed-upon price. The long position holder anticipates that the asset's price will rise, while the short position holder expects it to fall. Because every futures contract involves both a buyer and a seller, it is impossible to have more net longs than net shorts or vice versa (in terms of the net value). For every long position opened, there must be a corresponding short position taken by another market participant (and vice versa), thus maintaining the 1:1 ratio between longs and shorts. While there can be an imbalance in the number of traders/accounts holding long and short contracts, the net value of positions held on each side remains 1 to 1.
Open Interest (OI) is a metric that tracks the number of open (unsettled) contracts in a given market. For example, Open Interest of 100 BTC means that there are currently 100 BTC worth of longs and 100 BTC worth of shorts open in the market. There may be more traders on one side holding smaller positions, and fewer traders on the other side holding larger positions, but the net value of positions on one side is equal to the net value of positions on the other side → 100 BTC in longs and 100 BTC in shorts (1:1). Consider a scenario in which a trader decides to open a long position for 1 BTC at a price of HKEX:30 ,000. For this long order to be executed, a counterparty must take the opposite side of the contract by placing an order to short 1 BTC at the same price of HKEX:30 ,000. When both the long and short orders are matched and executed, the open interest increases by 1 BTC, reflecting the addition of this new contract to the market.
Changes in Open Interest essentially tell us 3 things:
- OI Increase - new positions entered the market (both longs and shorts!)
- OI Decrease - positions exited the market (both longs and shorts!)
- OI Flat - no change in open positions due to low activity or simply lots of transfers of contracts
However, different concepts can be used to analyze sentiment, aggressiveness, and activity in the market by analyzing data such as Open Interest, price, volume, etc. This indicator combines Open Interest data and price action to simplify the visualization of positions entering and exiting the market. It is based on the following concept:
Increase in Open Interest + Increase in price = Longs Opening
Decrease in Open Interest + Decrease in price = Longs Closing
Increase in Open Interest + Decrease in price = Shorts Opening
Decrease in Open Interest + Increase in price = Shorts Closing
When "Longs Opening" occurs, the OI Delta value is added to the running total of Net Longs, and when "Longs Closing" occurs, the OI Delta value is subtracted from the running total of Net Longs.
When "Shorts Opening" occurs, the OI Delta value is added to the running total of Net Shorts, and when "Shorts Closing" occurs, the OI Delta value is subtracted from the running total of Net Shorts.
To summarize:
Net Longs: Cumulative value of Longs Opening and Longs Closing (LO - LC)
Net Shorts: Cumulative value of Shorts Opening and Shorts Closing (SO - SC)
Net Delta: Net Longs - Net Shorts
Net Ratio: Net Longs / Net Shorts
This is the fundamental logic of how this script functions, but it also includes several other tools and options. Here is an overview of the settings:
Type:
- Net Positions (display values of Net Longs, Net Shorts, Net Delta, Net Ratio as described above)
- Relative Strength (display Net Longs, Net Shorts, Net Delta, Net Ratio in the form of a momentum oscillator that measures the speed and change of movements. Same logic as RSI for price)
Display as:
- Candles (display the data in the form of candlesticks)
- Lines (display the data in the form of candlesticks)
- Columns (display the data in the form of columns)
Cumulation:
- Visible Range (data is cumulated from the first visible bar on your chart)
- Full Data (data is cumulated from the beginning)
Quoted in:
- Base Currency (all data is presented in the pair’s base currency eg. BTC)
- Quote Currency (all data is presented in the pair’s quote currency eg USDT)
OI Sources
- Pick the sources from where the data is collected (if available).
Net Positions:
- NET LONGS (show/hide Net Longs plot, choose candle colors, choose line color)
- NET SHORTS (show/hide Net Shorts plot, choose candle colors, choose line color)
- NET DELTA (show/hide Net Delta plot, choose candle colors, choose line color)
- NET RATIO (show/hide Net Ratio plot, choose candle colors, choose line color)
Moving Averages:
- Type (choose between EMA and Volume Weighted Moving Average)
- NET LONGS (show/hide NL moving average plot, choose length, choose color)
- NET SHORTS (show/hide NS moving average plot, choose length, choose color)
- NET DELTA (show/hide ND moving average plot, choose length, choose color)
- NET RATIO (show/hide NR moving average plot, choose length, choose color)
Profile:
- Profile Data (choose the source data of the profile)
- Value Area % (set the percentage width of profile’s value area)
- Positions (set the position of the profile to left or right of the visible range)
- Node Size (set the relative size of nodes to make them appear smaller or larger)
- Rows (select the amount of rows displayed by the profile to control granularity)
- POC (show/hide POC- Point Of Control and select its color)
- VA (show/hide VA- Value Area and select its color)
Divergence finder
- Source (choose the source data used by the script to compare it with price pivot points)
- Maximum distance (the maximum distance between two divergent pivot points)
- Lookback Bars Left (the number of bars to the left of the current bar that the function will consider when looking for a pivot point)
- Lookback Bars Right (the number of bars to the right of the current bar that the function will consider when looking for a pivot point)
Stats:
- Show/Hide the Stats table
- Bars Back (choose the length of data analyzed for stats in number of bars)
- Position (choose the position of the Stats table)
- Select Data you want to display in the Stats table
Additional Settings:
- Volume Heatmap (show/hide volume heatmap and select its color)
- Label Offset (select how much the plot label is shifted to the right
- Position Relative Strength Length (select the length used in the calculation)
- Value Label (show/hide OI Delta values when candles are displayed)
- Plot Labels (show/hide the labels next to the plot)
- Wicks (show/hide wick when candles are displayed)
Code used for generating profiles is taken from @KioseffTrading's "Profile Any Indicator" script (used with author's permission)
RS: Market ProfileA Market Profile (time price opportunity) implementation with an option to mark a point of control (POC) based on volume.
Config: Hide default candles. Select a session time using exchange timezone. Experiment with tick multiplier value to achieve desired level of detail. Choose the symbols of your choice, e.g. squares or A-Z chars. For multiple sessions you will have to add additional instances of this script with a different time configuration.
Limitations: TradingView has a hard limit for the number of characters (500), if it's reached, label rendering stops. Try increasing tick multiplier value to reduce the number of labels rendered or reduce the window size.
Features:
Use symbols or A-Z chars for TPOs
Mark POC
Calculate Value Area (volume or time based)
Highlight single prints (SP)
Highlight VWAP
Show daily bar
Highlight Open and Close
Highlight current price row (during live market)
Highlight initial balance (IB)
Volume Profile by QTECHtradingVolume Profile by QTECHtrading for the new year 2023
This is a simple version of Volume profile
Features:
- Volume Profile for day trading lower time frame, swing trading or investing with higher time frame
- POC, Developing POC Levels, Previous Levels
- Developing Value Area, VAH/VAL dynamic levels and Previous Levels
- Buy/Sell/Total volume modes
- Auto VWAP for day trading, swing trading, or investing
- Show/Hide all levels
- Custom Initial Balance with BOX
[potatoshop] Volume Profile lower timeframeThis script is a volume profile that displays the volume of transactions in price blocks over a recent period of time.
For a more detailed representation, OHCLV values on the time frame lower than the time zone on the chart were called and expressed.
Low time frames are adjustable.
You can adjust the number of blocks and the most recent time period that you want to view.
Although it cannot be compared to the volume indicators provided for paid users of Trading-View, it has functioned by displaying transactions that are difficult to find on open source.
Displays the amount traded in each block and the percentage of the total over a given period.
POC represents the middle value of the block with the highest transaction volume as a line.
TPOC represents the block that stayed the longest regardless of the volume of transaction.
The reversal line appears when you determine the trading advantage of the rising and falling closing on a block basis and then have a different value from the neighboring blocks.
(I didn't mean it much, but I just put it in for fun.)
It represents the total volume of transactions traded in each block, and there are also check boxes in the settings window that represent the volume of transactions that closed higher and closed lower.
You can specify the color of each block.
The highest and lowest values for the set period and the total sum of each block are displayed at the bottom of the box.
Because it was made using a lot of arrays, the total transaction volume was marked separately to check the value.
When expressing the price block according to the trading volume percentage, it was a pity that the minimum pixel was 1 bar, so it could not be expressed delicately.
Although set to bar_time in Box properties xloc, 1 bar was actually the minimum unit of the X-axis value.
The logic used to place the transaction volume for each block is as follows.
1. Divide the difference between the high and low values of 1 LTF bar by the transaction volume .
2. Find the percentage of this LTF bar within each block.
3. Multiply the ratio by the transaction volume again.
4. Store the value in each block cell.
Below are the codes of the people I referred to this time.
1. ‘Time & volume point of control (TPOC & VPOC)’ by quantifytools
2. ‘Volume Profile ’ by LuxAlgo
3. ‘Volume Profile and Volume Indicator by DGT’ by dgtrd
The script is for informational and educational purposes only.
이 스크립트는 최근 일정 기간동안의 거래량을 가격 블록단위로 표시해 주는 볼륨 프로화일입니다.
좀 더 자세한 표현을 위해 차트상의 시간대보다 낮은 시간 프레임상의 OHCLV 값들을 호출하여 표현하였습니다.
낮은 시간 프레임은 조절 가능합니다..
보고 싶은 최근 일정 기간과 블럭 갯수를 조절할 수 있습니다.
트뷰 유료 사용자들을 위해 제공하는 지표와는 비교할 수는 없지만, 오픈 소스상에서는 찾기 힘든 거래량을 표시해 기능을 넣었습니다.
각 블럭에서 거래되었던 양 과 주어진 기간 동안의 총량 대비 퍼센트를 표시해 줍니다.
POC는 거래량이 가장 많았던 블럭의 중간값을 라인으로 표현해 줍니다.
TPOC는 거래량에 상관없이 가장 오랜 시간 머물렸던 블럭을 표현해 줍니다.
반전선은 블럭 단위로 상승 마감과 하락 마감의 거래량 우세를 결정한 뒤, 이웃 블럭들하고 다른 값을 가질 때 나타납니다.
(어떤 뜻을 갖고 만든 건 아니고 그냥 재미로 넣어 보았습니다.)
각 블럭에서 거래되었던 총거래량을 표현해 주며, 또한 설정창에서 상승 마감한 거래량과 하락 마감한 거래량을 표현하는 체크 박스가 있습니다.
각 블럭의 색깔을 지정하실 수 있습니다.
설정된 기간 동안의 최고값과 최저값, 각 블럭을 합친 총량을 박스 하단에 표시해 두었습니다.
어레이를 많이 사용하여 만들었기 때문에 값의 확인을 위해 전체 거래량을 따로 표시하였습니다.
가격 블럭을 거래량 퍼센트에 따라 표현할 때, 최소 픽셀이 1bar 이어서 섬세하게 표현 할 수 없어 안타까웠습니다.
박스 속성을 xloc.bar_time 로 설정하였지만 실제로는 1 bar가 X축 값의 최소 단위였습니다.
각 블록 별로 거래량을 배치 할 때 쓰인 로직은 다음과 같습니다.
1. 1 LTF bar의 하이 와 로우 값의 차이를 거래량으로 나누어 줍니다.
2. 각 블록 안에서 이 LTF bar가 차지 하는 비율을 구합니다.
3. 그 비율에 다시 거래량을 곱해 줍니다.
4. 그 값을 각 블록 셀에 저장해 줍니다.
밑에 제가 이번에 참고한 분들의 코드들입니다.
1. ‘Time & volume point of control (TPOC & VPOC)’ by quantifytools
2. ‘Volume Profile ’ by LuxAlgo
3. ‘Volume Profile and Volume Indicator by DGT’ by dgtrd
Estimated Time At Price [Kioseff Trading]Hello!
This script uses the same formula as the recently released "Volume Delta" script to ascertain lower timeframe values.
Instead, this script looks to estimate the approximate time spent at price blocks; all time estimates are in minute.second format.
The image above shows functionality. Time spent at price levels/blocks are estimated in duration. The highest estimated block is the highlighted level and a POC line is extended right until violated. Colors, the presence of POC lines and whether they're removed subsequent violation are all configurable.
As show in the image above, the data is displayable in an additional format. When select the "non-classic" format shown above - precise price levels are calculated and the estimated time spent at those levels is summed and displayed right of the current bar. The off-colored level (yellow in the example) denotes the price level encompassing the highest *estimated* time spent.
You can deselect the neon effect and choose to have the script recalculate after any conceivable amount of time has passed.
The script can also calculate for the most current bar should you configure it to do so.
That's all! (for now). A quick/easy script building off an existing foundation.
If you've any ideas for features and ways to "spice up" this script please let me know (: I'll gladly incorporate requests.
Thank you!
TPO Market Profile [Kioseff Trading]REPOST; SCRIPT WORKS!!
Due to technical error, this script was republished! Thank you for your support (:
Hello!
This indicator comprises a real time TPO Market Profile!
The script works on any timeframe 1 second or greater - the script calculates relative to the timeframe selected for your chart.
The image above shows the 1-minute BTCUSD chart; 650 +/- tick levels are set.
To see the script in full functionality - try using bar replay on a cryptocurrency 1-minute chart (start at the beginning of a regular hours session). Be sure to adjust the tick spread if necessary (:
So far, the script's held up in real time - I've not had any array loop errors or timeouts. The TPO profile updates accordingly with changes in time / high and low prices. Letters are appended to the profile in real time.
The image above shows configurations for the indicator. I plan to update the indicator quite a bit over the coming days - more to come.
You can select the timeframe change the indicator accounts for. For instance, you can have set the indicator to reset every day, every 30 minutes, every 5 minutes, every week, month, etc.
In the image above, I configured the indicator to recalculate every 3 months. Consequently, the indicator will record a TPO profile for three consecutive, reset, then record a TPO profile for the next 3 months. This setting makes the indicator compatible with any timeframe greater than 1 minute.
You can also use a drag & drop time-start bar to modify the starting point for the market profile TPO calculation.
The indicator hosts an option to auto calculate the tick spread between levels. However, as you switch timeframes and assets, sometimes, you'll have to manually set the tick range (:
Thanks for checking it out; more to come!
Sep 4
Release Notes: UPDATE: The indicator can work on seconds-based charts.
The image above shows the indicator working on the 1-second chart.
(Screenshot is old; characters are now numbered instead of strange unicode)
Release Notes: Added value area + vah + val. Font update. Changed characters to numbered once the alphabet is exhausted. POC, VAH, and VAL label located left of the first bar of the interval. Initial balance range can be toggled. Spaced the characters (more legible). Quite a bit of aesthetic changes so check it out!
Soon, I'll release a version of the script that shows VAH, POC, VAL, and TPO letters from previous sessions. I coded this feature into this indicator; however, it was removed due to load time complications. This feature will be its own script (:
If the script has trouble loading please let me know (:
Sonarlab - Volume ProfileThis Volume Profile is a charting tool that traders use to show the traded volume amount over a given time period. The reason we build this volume profile indicator is to confirm S&D zones and show where the most volume is resting in a specific given time.
Settings
- Auto Placement: Option to have the Volume Profile automatically placed
- Manual Placement: Able to place and move the Volume Profile anywhere of your choosing
- Bull vs. Bear Candle Style
- Up/Down Candle Style
- Highlight Point of Control (PoC)
Usage:
Focused on combining with SMC:
When trading SMC, normal volume profiles can be confusing and hard to trade - since it will catch the volume on the overall chart you're on. When trading SMC, we are interested in catching specific parts in a range which defines supply or demand.
What makes this volume profile different?
The Sonarlab Volume Profile is focused on combining with SMC, integrated with Smart Money Concepts (SMC) levels, such as the Swing High and Low levels. The Indicator will automatically find the most applicable position using our custom Swing Levels to provide users with maximum utility with zero effort. Where other volume profiles are more focused on overall volume, this volume profile is focused on volume in a specific range on automation using swing points in the market.
As in this example, the high volume areas are matching with traditional supply and demand zones. The price level with the most volume is highlighted by the "point of control" (POC), displayed by the yellow line. We can consider price will react from those "high volume" areas and trade more easily through "low volume" areas.
Magnifying Glass (LTF Candles) by SiddWolf█ OVERVIEW
This indicator displays The Lower TimeFrame Candles in current chart, Like Zooming in on the Candle to see it's Lower TimeFrame Structure. It plots intrabar OHLC data inside a Label along with the volume structure of LTF candle in an eloquent format.
█ QUICK GUIDE
Just apply it to the chart, Hover the mouse on the Label and ta-da you have a Lower Timeframe OHLC candles on your screen. Move the indicator to the top and shrink it all the way up, because all the useful data is inside the label.
Inside the label: The OHLC ltf candles are pretty straightforward. Volume strength of ltf candles is shown at bottom and Volume Profile on the left. Read the Details below for more information.
In the settings, you will find the option to change the UI and can play around with Lower TimeFrame Settings.
█ DETAILS
First of all, I would like to thank the @TradingView team for providing the function to get access to the lower timeframe data. It is because of them that this magical indicator came into existence.
Magnifying Glass indicator displays a Candle's Lower TimeFrame data in Higher timeframe chart. It displays the LTF candles inside a label. It also shows the Volume structure of the lower timeframe candles. Range percentage shown at the bottom is the percentage change between high and low of the current timeframe candle. LTF candle's timeframe is also shown at the bottom on the label.
This indicator is gonna be most useful to the price action traders, which is like every profitable trader.
How this indicator works:
I didn't find any better way to display ltf candles other than labels. Labels are not build for such a complex behaviour, it's a workaround to display this important information.
It gets the lower timeframe information of the candle and uses emojis to display information. The area that is shown, is the range of the current timeframe candle. Range is a difference between high and low of the candle. Range percentage is also shown at the bottom in the label.
I've divided the range area into 20 parts because there are limitation to display data in the labels. Then the code checks out, in what area does the ltf candle body or wick lies, then displays the information using emojis.
The code uses matrix elements for each block and relies heavily on string manipulation. But what I've found most difficult, is managing to fit everything correctly and beautifully so that the view doesn't break.
Volume Structure:
Strength of the Lower TimeFrame Candles is shown at the bottom inside the label. The Higher Volume is shown with the dark shade color and Lower Volume is shown with the light shade. The volume of candles are also ranked, with 1 being the highest volume, so you can see which candle have the maximum to minimum volume. This is pretty important to make a price action analysis of the lower timeframe candles.
Inside the label on the left side you will see the volume profile. As the volume on the bottom shows the strength of each ltf candles, Volume profile on the left shows strength in a particular zone. The Darker the color, the higher the volume in the zone. The Highest volume on the left represents Point of Control (Volume Profile POC) of the candle.
Lower TimeFrame Settings:
There is a limitation for the lowest timeframe you can show for a chart, because there is only so much data you can fit inside a label. A label can show upto 20 blocks of emojis (candle blocks) per row. Magnifying Glass utilizes this behaviour of labels. 16 blocks are used to display ltf candles, 1 for volume profile and two for Open and Close Highlighter.
So for any chart timeframe, ltf candles can be 16th part of htf candle. So 4 hours chart can show as low as 15 minutes of ltf data. I didn't provide the open settings for changing the lower timeframe, as it would give errors in a lot of ways. You can change the timeframe for each chart time from the settings provided.
Limitations:
Like I mentioned earlier, this indicator is a workaround to display ltf candles inside a label. This indicator does not work well on smaller screens. So if you are not able to see the label, zoom out on your browser a bit. Move the indicator to either top or bottom of all indicators and shrink it's space because all details are inside the label.
█ How I use MAGNIFYING GLASS:
This indicator provides you an edge, on top of your existing trading strategy. How you use Magnifying Glass is entirely dependent on your strategy.
I use this indicator to get a broad picture, before getting into a trade. For example I see a Doji or Engulfing or any other famous candlestick pattern on important levels, I hover the mouse on Magnifying Glass, to look for the price action the ltf candles have been through, to make that pattern. I also use it with my "Wick Pressure" indicator, to check price action at wick zones. Whenever I see price touching important supply and demand zones, I check last few candles to read chart like a beautiful price action story.
Also volume is pretty important too. This is what makes Magnifying Glass even better than actual lower timeframe candles. The increasing volume along with up/down trend price shows upward/downward momentum. The sudden burst (peak) in the volume suggests volume climax.
Volume profile on the left can be interpreted as the strength/weakness zones inside a candle. The low volume in a price zone suggests weakness and High volume suggests strength. The Highest volume on the left act as POC for that candle.
Before making any trade, I read the structure of last three or four candles to get the complete price action picture.
█ Conclusion
Magnifying Glass is a well crafted indicator that can be used to track lower timeframe price action. This indicator gives you an edge with the Multi Timeframe Analysis, which I believe is the most important aspect of profitable trading.
~ @SiddWolf
Market Profile-By AtropineWhat is Market profile ?
Market profile is a style of plotting "Price" on the Y-axis and "Time" on the X-axis, which most of the time form a bell-shaped image as the body of the profile.
It helps day traders identify Other Timeframe Participants (Big players) who have money and information power. short-term traders have to follow these big sharks which give direction to markets.
It provides an X-ray vision about the market as Value Area represents 70% of the day’s activity and this will give a clear picture of the current state of the market as it unfolds.
It works in all market conditions. Usually, a trading system or indicator works in certain market conditions like a trending or sideways market. There is no such restriction to Market Profile as it clearly shows the balanced and imbalanced market conditions in both directions all the time.
How does this Market Profile Indicator Works ?
Automatically plots TPO's for Each half an hour(30min) of the trading day, it is designated by a letter, which is also called Time Price Opportunity(TPO) for the current day. Indicator provides Option to Change TPO Text.
First 30 min range denoted with the letter ‘A,’ next 30 min range with the letter ‘B’ ,this two TPO are black colored which Indicates IB (Initial Balance) Range. IB Range is the first one-hour range in the market created by retail traders (most of the time).
Indicator plots TPO continue until the last range of the market, hence the last range is denoted with ‘M’ as the Indian markets currently trade from 9.15 am to 3.30 pm with the last session ‘M” is for only 15 minutes from 3.15 pm to 3.30 pm.
Letter ‘O’ indicates the open price level, which is red colored and Letter ‘#’ indicates the closing price level which is green in colored.
This Indicator gives you an Option to choose the color of each TPO's.
Two Methods of Market Profile one is ‘Split’ profile, and another is ‘Un-Split’ profile, Indicator gives Option to Split or Unsplit the last day profile.
This Indicator gives you an Options to extend Untested Lines(POC,VAH,VAL)The Price level in which maximum time was spent or maximum trading activity happened is called as Point of Control (POC).Value Area (VA) is the 70% price range around POC. It is the fair price of the Instrument on the particular day.
Retail traders can only provide market depth and liquidity, but they fail to give magnitude and direction to the price.
By the end of every trading day, the market profile chart shows not only what happened on that day, but also who is responsible and when it happened.
MarketProfile HLMarketProfile HL dynamically calculates and displays a side histogram of the distribution of volumes with colors along a gradient, which is set to a given number of candles. The histogram is overlaid on the candlesticks to visually represent areas of market balance and imbalance. The indicator uses the concepts of statistical distribution and is based on the market profile theory.
The gradient color of the levels shows where more or less horizontal volume accumulates.
Adapts to any timeframe or instrument.
Customizable display of horizontal levels HL and POC.
The HL and POC levels protrude beyond the boundaries of the main histogram on the right for a more convenient determination of dynamic centers and accumulation boundaries.
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MarketProfile HL динамически рассчитывает и отображает боковую гистограмму распределения объемов с цветами по градиенту, которая настроена на заданное количество свечей. Гистограмма накладывается на свечи, чтобы визуально представить области рыночного баланса и дисбаланса. Индикатор использует концепции статистического распределения и основан на теории профиля рынка.
Градиентный цвет уровней показывает, где накапливается больше или меньше горизонтального объема.
Адаптируется к любому таймфрейму или инструменту.
Настраиваемое отображение горизонтальных уровней HL и POC.
Уровни HL и POC выступают за границы основной гистограммы справа для более удобного определения динамических центров и границ накоплений.
Heisenberg's Uncertainty BandsHeisenberg's Uncertainty Bands:
This is a volatility indicator to determine and visualize the uncertainty in a securities' price.
In quantum mechanics, the uncertainty principle (also known as Heisenberg's uncertainty principle) is any of a variety of mathematical inequalities asserting a fundamental limit to the accuracy with which the values for certain pairs of physical quantities of a particle, such as position, x, and momentum, p, can be predicted from initial conditions.
It plots a Kalman filter average of the bars inside a higher timeframe bar, to attempt to find the most frequent price in that bar's timespan. To plot what is effectively a MA using POC (IvanLabrie's code, credits to the author).
It derives momentum from relative momentum, yielding results more sensitive to changes.
Then it uses Heisenberg's uncertainty principle to find an uncertainty range, and uses it as the channel distance from the POC MA, meaning price is likely to fluctuate within that range.
Since uncertainty must be greater than h/2, adding fib levels will make it a useful indicator. Essentially they are pseudo-Fibonacci Bollinger Bands, which uses a different calculation.
Benefits:
Prices fluctuate, and it can be helpful to visualize price as a range, rather than a single point or line. This visualization can help in managing risk, determining entries and exits, and prevent losing one's position due to price fluctuations during a trend.
If we use a particle model, the uncertainty principle dictates that it is impossible to predict the price within a range. This is a good model for risk management!
Usage:
There are 5 Fibonacci ratio outer bands that can be turned on or off according to user's preference.
Recommended that the length inputs should be increased in higher timeframes, to visualize trends, shorter timeframes should have lower lengths.
GLHF
- DPT
Shelby Duo Shelby Duo indicator is a combination of the following:
1. Central Pivot Range
2. Floor Pivots
3. Camarilla Pivots
4. Volume Point Of Contact
5. Value Area High and Value Area Low
All the pivot calculations are based on Secret of Pivot Boss book by Frank Ochoa .
One can also view tomorrow's central pivot range by today end of the day.
How to use it:
The Golden Pivot Zone is the method given by Frank Ochoa in his book "The Secret of Pivot Boss"
Here, he discusses its types and how to use them efficiently.
There are two types of GPZ,
1.) BEARISH GPZ
2.) BULLISH GPZ
BEARISH GPZ:
A bearish GPZ occurs when H3 of the Camarilla Equation, or any of the Money Zone levels, is mixed within the central pivot range. Therefore, a GPZ is present if any of the following pivots falls within the boundaries of the central pivot range:H3, VAL, VAH, POC, or VPOC. Any bullish advance that fails at the GPZ typically leads to a drop back toward the next area of pivot support, which is generally S1 or L3.
BULLISH GPZ:
A bullish GPZ occurs when L3 of the Camarilla Equation, or any of the Money Zone levels, is mixed within the central pivot range. Therefore, a GPZ is present if any of the following pivots falls within the boundaries of the central pivot range: L3, VAL, VAH, POC, or VPOC. A sell-off or pullback to a bullish GPZ generally leads to an advance back toward the next area of pivot resistance, which is usually R1 or H3.
Entry and Exit Conditions:
BEARISH GPZ: Entry can be taken when it touches the zone. Exit can be done when the price reaches PDL/L3.
BULLISH GPZ: Entry can be taken when it touches the zone. Exit can be done when the price reaches PDH/H3.
Enhanced Sigma by Cryptorhythms [CR] - AdvancedEnhanced Sigma - Advanced Volatility-Normalized Returns Analysis
The Enhanced Sigma indicator measures volatility-adjusted price returns to identify statistical extremes, regime changes, and mean reversion opportunities. By normalizing returns against their standard deviation, the indicator reveals when markets are experiencing unusual moves relative to recent volatility—highlighting potential exhaustion points, capitulation events, and statistical anomalies.
█ OVERVIEW
Sigma (σ) represents how many standard deviations current returns deviate from normal behavior. Readings beyond ±2.0 indicate statistically unusual moves, while extreme readings beyond ±3.0 occur less than 1% of the time under normal distribution. This version adds multi-layered analysis including regime detection, multi-timeframe confirmation, and adaptive thresholds.
█ KEY FEATURES
Return Calculation Methods
The indicator supports multiple return calculation approaches:
- Simple Returns — Standard percentage change calculation
- Log Returns — Logarithmic returns for better statistical properties
- Geometric Returns — Square root based calculation
- Percentage Returns — Scaled percentage format
Volume Weighting
Optional volume weighting emphasizes high-volume moves while dampening low-volume noise. When enabled, returns are weighted by normalized volume to give more significance to moves occurring on institutional participation.
Threshold Methods
Two threshold calculation approaches:
- Fixed Thresholds — Manual static levels
- Percentile-Based — Adaptive thresholds calculated from historical distribution
Percentile-based thresholds automatically adjust to changing volatility regimes over configurable lookback periods.
Statistical Significance Testing
Built-in t-test functionality determines whether current sigma readings are statistically significant or merely random noise. Configurable confidence levels (80-99.9%) filter out insignificant moves. Non-significant readings are visually dimmed.
Multi-Timeframe Analysis
Analyzes sigma across multiple timeframes simultaneously. Confluence signals trigger when all timeframes (current, 3x, 5x) align at extremes—indicating stronger conviction and reduced false signals. MTF sigma values are plotted as reference lines.
Regime Detection
Automatically classifies current volatility environment into four regimes:
- Low Volatility — Market in compression
- Normal — Standard volatility conditions
- High Volatility — Elevated movement
- Extreme — Unusual volatility expansion
Regime classification uses percentile ranking and statistical deviation analysis.
Adaptive Threshold System
Three methods for automatic threshold adjustment:
- ATR-Based — Adjusts based on Average True Range ratio
- Volatility Regime — Tightens in low volatility, widens in high volatility
- Range Expansion — Responds to recent sigma range changes
When enabled, thresholds dynamically scale with market conditions to maintain consistent sensitivity.
Cluster Analysis
Detects and scores clusters of threshold breaches within rolling windows. High cluster scores can indicate capitulation or exhaustion phases. Visual labels "C" show active clusters.
Mean Reversion Signals
Generates entry and exit signals based on extreme sigma readings returning to mean:
- Long Entry — Triggered on oversold extremes
- Short Entry — Triggered on overbought extremes
- Exit Signals — When sigma normalizes or time-based exit reached (marked as gray "X")
Optional statistical significance filter ensures only high-probability setups generate signals. Position tracking displays unrealized P&L.
Distribution Histogram
Displays sigma value distribution as a horizontal histogram showing Point of Control (POC)—the most frequently occurring sigma level. Configurable bin size and lookback period.
Statistics Dashboard
Real-time table displaying:
- Current sigma value and percentile rank
- Statistical measures (mean, std dev, skewness, kurtosis)
- Volatility regime classification
- Extreme event frequency
- Bars since last extreme
- Position status and P&L (when mean reversion enabled)
█ VISUAL ELEMENTS
Threshold Lines
- Aqua/Cyan lines — Positive (high) thresholds
- Fuchsia/Magenta lines — Negative (low) thresholds
- Solid lines — Short-term dynamic thresholds
- Circles — Long-term dynamic thresholds
- Crosses — Percentile-based static thresholds (when enabled)
Sigma Histogram
Primary histogram uses momentum-based coloring:
- Purple shades — Negative sigma (declining)
- Cyan shades — Positive sigma (advancing)
- Darker shades indicate weakening momentum
- Brighter shades indicate strengthening momentum
Statistically significant threshold breaches are highlighted with intensified colors.
Shape Markers
- Small triangles — Statistically significant threshold breaches
- Diamonds — Multi-timeframe confluence signals
- Large triangles with text — Mean reversion entry signals (LONG/SHORT)
- X markers — Mean reversion exit signals
- Labels — Cluster detection alerts
█ ALERTS
The indicator includes comprehensive alert conditions. Use confirm on bar close if repainting is enabled.
█ HOW TO USE
Identifying Extremes
Sigma readings beyond ±2.0 indicate unusual moves. Look for:
- Threshold breaches with statistical significance markers (triangles)
- Multi-timeframe confluence (diamonds) for stronger signals
- Cluster formation indicating potential exhaustion
Regime-Aware Trading
Use regime detection to adjust expectations:
- In Low Volatility regimes, smaller sigma moves may be significant
- In Extreme regimes, higher thresholds prevent overtrading
Mean Reversion Strategy
Enable mean reversion signals for systematic entries:
- LONG signals appear after statistically significant oversold extremes
- SHORT signals appear after statistically significant overbought extremes
- Exit signals trigger on return to mean or time-based stops
Distribution Analysis
Use the histogram to identify:
- POC level — Where sigma spends most time (equilibrium)
- Current position relative to distribution
Dynasty Position Pickup by Tirano안녕하세요. 다이너스티 팀의 안드레아 입니다.
기존에 티라노라는 이름으로 활동했습니다.
Support-Resistance Cloud 소개
1. 한번이라도 지지 혹은 저항이 작용한 구간을 라인으로 표현합니다. 한번 맞고 튕긴 구간은 되돌림을 통한 리테스트가 있기 마련이고, 다시한번 튕길 가능성이 높습니다.
- 따라서 되돌림이 일어났을때 선으로 표현되는 구간에서 진입하면 수익으로 연계할 확률이 높습니다.
- 매물대를 표현한 PoC 라인이 보조적으로 사용됩니다. (피보나치 상으로 의미있는 구간에 표현됩니다)
- 박스권 상황에 유리합니다.
2. 전체적인 흐름을 구름과 채널의 형태로 표현합니다.
- 구름이 서서히 내려오며 하방 추세라면 매수신호에서 long으로 진입하기 보다는, 구름에 닿았을때 short으로 진입하는게 좋습니다.
- 전체적인 흐름(추세)를 거스르지 않고 매매할 수 있습니다.
- 한 방향으로 진행되는 one way 상황에 유리합니다.
기타 문의 사항은 댓글 남겨주시면 감사하겠습니다.
Hi. this is Andreas of the Dynasty team.
Introduction to Support-Resistance Cloud
1. The lines where the support or resistance acts once are expressed by lines. Once hit and bounced, there is a retest through bounce, and it is likely to bounce again.
- Therefore, if you enter from the section represented by the line when the recurrence occurs, the probability of linking with the profit is high.
- The PoC line representing the residential area is supplementary. (Expressed in Fibonacci sensible section)
- It is advantageous in the box case situation.
2. Express the overall flow in the form of clouds and channels.
- If the cloud is going down slowly, it is better to go into the short when touching the cloud, rather than going into long in the buy signal.
- You can trade without overtaking the whole flow (trend).
- It is advantageous for one way situation that goes in one direction.
If you have any other questions, please leave a comment.
Support-Resistance Cloud (S/RC) [Alert] by Tirano안녕하세요. 다이너스티 팀의 안드레아 입니다.
기존에 티라노라는 이름으로 활동했습니다.
Support-Resistance Cloud 소개
1. 한번이라도 지지 혹은 저항이 작용한 구간을 라인으로 표현합니다. 한번 맞고 튕긴 구간은 되돌림을 통한 리테스트가 있기 마련이고, 다시한번 튕길 가능성이 높습니다.
- 따라서 되돌림이 일어났을때 선으로 표현되는 구간에서 진입하면 수익으로 연계할 확률이 높습니다.
- 매물대를 표현한 PoC 라인이 보조적으로 사용됩니다. (피보나치 상으로 의미있는 구간에 표현됩니다)
- 박스권 상황에 유리합니다.
2. 전체적인 흐름을 구름과 채널의 형태로 표현합니다.
- 구름이 서서히 내려오며 하방 추세라면 매수신호에서 long으로 진입하기 보다는, 구름에 닿았을때 short으로 진입하는게 좋습니다.
- 전체적인 흐름(추세)를 거스르지 않고 매매할 수 있습니다.
- 한 방향으로 진행되는 one way 상황에 유리합니다.
기타 문의 사항은 댓글 남겨주시면 감사하겠습니다.
Hi. this is Andreas of the Dynasty team.
Introduction to Support-Resistance Cloud
1. The lines where the support or resistance acts once are expressed by lines. Once hit and bounced, there is a retest through bounce, and it is likely to bounce again.
- Therefore, if you enter from the section represented by the line when the recurrence occurs, the probability of linking with the profit is high.
- The PoC line representing the residential area is supplementary. (Expressed in Fibonacci sensible section)
- It is advantageous in the box case situation.
2. Express the overall flow in the form of clouds and channels.
- If the cloud is going down slowly, it is better to go into the short when touching the cloud, rather than going into long in the buy signal.
- You can trade without overtaking the whole flow (trend).
- It is advantageous for one way situation that goes in one direction.
If you have any other questions, please leave a comment.
Support-Resistance Cloud (S/RC) for FX by Tirano안녕하세요. 다이너스티 팀의 안드레아 입니다.
기존에 티라노라는 이름으로 활동했습니다.
Support-Resistance Cloud 소개
1. 한번이라도 지지 혹은 저항이 작용한 구간을 라인으로 표현합니다. 한번 맞고 튕긴 구간은 되돌림을 통한 리테스트가 있기 마련이고, 다시한번 튕길 가능성이 높습니다.
- 따라서 되돌림이 일어났을때 선으로 표현되는 구간에서 진입하면 수익으로 연계할 확률이 높습니다.
- 매물대를 표현한 PoC 라인이 보조적으로 사용됩니다. (피보나치 상으로 의미있는 구간에 표현됩니다)
- 박스권 상황에 유리합니다.
2. 전체적인 흐름을 구름과 채널의 형태로 표현합니다.
- 구름이 서서히 내려오며 하방 추세라면 매수신호에서 long으로 진입하기 보다는, 구름에 닿았을때 short으로 진입하는게 좋습니다.
- 전체적인 흐름(추세)를 거스르지 않고 매매할 수 있습니다.
- 한 방향으로 진행되는 one way 상황에 유리합니다.
기타 문의 사항은 댓글 남겨주시면 감사하겠습니다.
Hi. this is Andreas of the Dynasty team.
Introduction to Support-Resistance Cloud
1. The lines where the support or resistance acts once are expressed by lines. Once hit and bounced, there is a retest through bounce, and it is likely to bounce again.
- Therefore, if you enter from the section represented by the line when the recurrence occurs, the probability of linking with the profit is high.
- The PoC line representing the residential area is supplementary. (Expressed in Fibonacci sensible section)
- It is advantageous in the box case situation.
2. Express the overall flow in the form of clouds and channels.
- If the cloud is going down slowly, it is better to go into the short when touching the cloud, rather than going into long in the buy signal.
- You can trade without overtaking the whole flow (trend).
- It is advantageous for one way situation that goes in one direction.
If you have any other questions, please leave a comment.
