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Volumepriceanalysis

Ehlers Loops [BigBeluga]The Ehlers Loops indicator is based on the concepts developed by John F. Ehlers, which provide a visual representation of the relationship between price and volume dynamics. This tool helps traders predict future market movements by observing how price and volume data interact within four distinct quadrants of the loop, each representing different combinations of price and volume directions. The unique structure of this indicator provides insights into the strength and direction of market trends, offering a clearer perspective on price behavior relative to volume. 🔵 KEY FEATURES & USAGE ● Four Price-Volume Quadrants: The Ehlers Loops chart consists of four quadrants: +Price & +Volume (top-right) – Typically indicates a bullish continuation in the market. -Price & +Volume (bottom-right) – Generally shows a bearish continuation. +Price & -Volume (top-left) – Typically indicates an exhaustion of demand with a potential reversal. -Price & -Volume (bottom-left) – Indicates exhaustion of supply and near trend reversal. By watching how symbols move through these quadrants over time, traders can assess shifts in momentum and volume flow. ● Price and Volume Scaling in Standard Deviations: Both price and volume data are individually filtered using HighPass and SuperSmoother filters, which transform them into band-limited signals with zero mean. This scaling allows traders to view data in terms of its deviation from the average, making it easier to spot abnormal movements or trends in both price and volume. ● Loops Trajectories with Tails: The loops draw a trail of price and volume dynamics over time, allowing traders to observe historical price-volume interactions and predict future movements based on the curvature and direction of the rotation. ● Price & Volume Histograms: On the right side of the chart, histograms for each symbol provide a summary of the most recent price and volume values. These histograms allow traders to easily compare the strength and direction of multiple assets and evaluate market conditions at a glance. ● Flexible Symbol Display & Customization: Traders can select up to five different symbols to be displayed within the Ehlers Loops. The settings also allow customization of symbol size, colors, and visibility of the histograms. Additionally, traders can adjust the LPPeriod and HPPeriod to change the smoothness and lag of the loops, with a shorter LPPeriod offering more responsiveness and a longer HPPeriod emphasizing longer-term trends. 🔵 USAGE 🔵 SETTINGS Low pass Period: default is 10 to obtain minimum lag with just a little smoothing. High pass Period: default is 125 (half of the year if Daily timeframe) to capture the longer term moves. 🔵 CONCLUSION The Ehlers Loops indicator offers a visually rich and highly customizable way to observe price and volume dynamics across multiple assets. By using band-limited signals and scaling data into standard deviations, traders gain a powerful tool for identifying market trends and predicting future movements. Whether you're tracking short-term fluctuations or long-term trends, Ehlers Loops can help you stay ahead of the market by offering key insights into the relationship between price and volume.
Pine Script® göstergesi
BigBeluga tarafından
27
5-Minute Opening Range BreakoutThe 5-minute buy and sell indicator is designed to detect potential buy ("Long") and sell ("Short") signals based on the first 5 minutes of trading activity. Here's how it works: 5-Minute Opening Range: It tracks the high and low of the first 5-minute candle after the market opens. This range establishes key support and resistance levels. Buy Signal ("Long"): When the price breaks above this range and retests the level, a "Long" signal is triggered, indicating a potential upward trend. Sell Signal ("Short"): Conversely, if the price breaks below the range and retests, a "Short" signal is triggered, suggesting a potential downward trend. Retests & Confirmations: The indicator waits for pullbacks or retests of the breakout levels to confirm the validity of the buy or sell signal, minimizing false entries. Take Profit & Stop Loss: The indicator provides reasonable stop-loss and take-profit markers to guide you in managing risk and securing profits within the day. This strategy is especially useful for traders looking to capture early market momentum, often seen in the first 5 to 15 minutes of trading. This indicator only works on the 1M timeframe. More Updates soon!
Pine Script® göstergesi
mr_redbrenden tarafından
3
Price Action Volumetric Order Blocks [UAlgo]"Price Action Volumetric Order Blocks" indicator aims to identify significant price zones in the market based on a combination of price action and volume analysis. It utilizes the concept of "Order Blocks," which are areas on the chart where large orders are believed to have been placed, influencing price behavior. By analyzing price swings and volume activity, the indicator attempts to highlight potential support and resistance levels. 🔶 Key Features Swing Length: This input allows you to adjust the timeframe used to identify price swings for order block detection. A longer swing length will focus on larger timeframes and potentially capture stronger order blocks. Show Last X Order Blocks: This controls the number of order blocks displayed on the chart. You can choose to visualize a specific number of the most recent order blocks. Violation Check: This setting determines how the indicator identifies potential order block violations. You can choose between "Wick" or "Close" violations. A "Wick" violation occurs when the price (wick) extends beyond the order block boundaries, while a "Close" violation signifies that the closing price breaches the order block. Hide Overlap: This option allows you to manage the display of overlapping order blocks. If set to "True," only non-overlapping order blocks will be shown, potentially offering a clearer visualization. Colors: You can customize the color scheme for bullish (upward) and bearish (downward) order blocks to enhance visual clarity on the chart. 🔶 Interpreting the Indicator Order Blocks: The teal-colored boxes represent bullish order blocks, indicating areas of demand where buying pressure is likely to be strong. Red-colored boxes represent bearish order blocks, indicating areas of supply where selling pressure is likely to be dominant. These zones often signal potential reversal points or consolidation areas. Strength Calculations: The indicator calculates the relative strength of bullish and bearish blocks based on volume. A higher bullish strength indicates stronger buying pressure, while higher bearish strength suggests more selling pressure. Traders can use this information to gauge the strength of a price level and predict future price movements. Market Structure Lines: The indicator displays horizontal lines to depict the current market structure, labeled as "MSB" (Market Sell Balance) or "BOS" (Break of Structure). These lines can help visualize the prevailing trend direction. Order Block Violations: When a price wick or close breaches an order block (depending on the chosen violation type), the corresponding order block visualization is removed from the chart. This can signify a potential weakening of the identified support or resistance zone. 🔶 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.
Pine Script® göstergesi
UAlgo tarafından
12
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.
Pine Script® göstergesi
UAlgo tarafından
Volume Spread Analysis [AlgoAlpha]Unleash the power of Volume Spread Analysis (VSA) with our state-of-the-art indicator designed to detect market divergences and convergences, helping you make informed trading decisions. 📈 Key Features: Detects bullish and bearish divergences based on volume and price movements. 📊🔍 Identifies bullish and bearish convergences, signaling potential trend continuations or reversals. 🔄📉 Customizable parameters for period length, volume SMA period, and outlier reduction factor. ⚙️🔧 Visual highlights for detected effects, with color-coded boxes and labels. 🟩🟥 Provides alerts for divergences and convergences, keeping you updated on market conditions. 🔔📬 📚 Introduction to Volume Spread Analysis (VSA) : Volume Spread Analysis is a method used to interpret the relationship between volume and price to identify the intentions of market participants. By analyzing the spread (range) of a price bar and its corresponding volume, VSA helps traders discern market strength and potential reversals. In VSA, harmony occurs when price and volume move in sync, such as when increasing prices(aka "Effect" in the script) are accompanied by increasing volume. This indicates a strong and healthy trend. Conversely, divergence happens when price and volume move in opposite directions. For example, if prices are rising lesser but volume is still high, it may signal a weakening trend and a potential reversal. Identifying these patterns helps traders understand market dynamics and make more informed trading decisions. 🛠 Quick Guide to Using the Volume Spread Analysis Indicator ⭐ Add the Indicator: Add the indicator to favorites by pressing the star icon. Customize settings such as period length, volume SMA period, and outlier reduction factor to fit your trading style. 📊 Market Analysis: Watch for color-coded boxes indicating effects and labels showing effort values. Look for divergences and convergences to identify potential trading opportunities. A higher work done suggests that the markets are needing to work harder to move the price and users can use that information as displayed below each trend impulse box to analyze the likely hood of trend continuation/reversals. 🔔 Alerts: Enable alerts for divergences and convergences to stay informed of critical market conditions without constant chart monitoring. 🔍 How It Works: Our indicator meticulously analyzes volume and price data to detect significant market movements. It identifies periods where volume is above or below a moving average, marks these points, and tracks the price effect over a user-defined range. By calculating the effort (volume) and effect (price movement), it distinguishes between divergences and convergences based on predefined conditions. Bullish and bearish conditions are visually represented with color-coded boxes and labels, making it easy to spot trading opportunities. Alerts can be set to notify you of critical market conditions, ensuring you never miss a potential trade setup. Happy trading! 📈🚀
Pine Script® göstergesi
AlgoAlpha tarafından
8
Market Sentiment Fear and Greed [AlgoAlpha]Unleash the power of sentiment analysis with the Market Sentiment Fear and Greed Indicator! 📈💡 This tool provides insights into market sentiment, helping you make informed trading decisions. Let's dive into its key features and how it works. 🚀✨ Key Features 🎯 🧠 Sentiment Analysis : Calculates market sentiment using volume and price data. 📊 📅 Customizable Lookback Window : Adjust the lookback period to fine-tune sensitivity. 🔧 🎨 Bullish and Bearish Colors : Visualize trends with customizable colors. 🟢🔴 🚀 Impulse Detection : Identifies bullish and bearish impulses for trend confirmation. 🔍 📉 Normalized Sentiment Index : Offers a normalized view of market sentiment. 📊 🔔 Alerts : Set alerts for key sentiment changes and trend impulses. 🚨 🟢🔴 Table Visualization : Displays sentiment strength using a gradient color table. 🗂️ How to Use 📖 Maximize your trading potential with this indicator by following these steps: 🔍 Add the Indicator : Search for "Market Sentiment Fear and Greed " in TradingView's Indicators & Strategies. Customize settings like the lookback window and trend breakout threshold to suit your trading strategy. 📊 Monitor Sentiment : Watch the sentiment gauge and plot changes to detect market sentiment shifts. Use the Normalized Sentiment Index for a more balanced view. 🚨 Set Alerts : Enable alerts for sentiment flips and trend impulses to stay ahead of market movements. How It Works ⚙️ The indicator calculates market sentiment by averaging the volume and closing prices over a user-defined lookback period, creating a sentiment score. It differentiates between bullish and bearish sentiment by evaluating whether the closing price is higher or lower than the opening price, summing the respective volumes. The true sentiment is determined by comparing these summed values, with a positive score indicating bullish sentiment and a negative score indicating bearish sentiment. The indicator further normalizes this sentiment score by dividing it by the EMA of the highest high minus the lowest low over double the lookback period, ensuring values are constrained between -1 and 1. Bullish and bearish impulses are identified using Hull Moving Averages (HMA) of the positive and negative sentiments, respectively. When these impulses exceed a calculated threshold based on the standard deviation of the sentiment, it indicates a significant trend change. The script also includes a gradient color table to visually represent the strength of sentiment, and customizable alerts to notify users of key sentiment changes and trend impulses. Unlock deeper insights into market sentiment and elevate your trading strategy with the Market Sentiment Fear and Greed Indicator! 📈✨
Pine Script® göstergesi
AlgoAlpha tarafından
9
Volume Insignts AnalyzerDescription: The Volume Insight Analyzer is an advanced Pine Script designed for traders who want a comprehensive view of volume dynamics on their charts. This script combines multiple volume-based indicators to help identify key trading opportunities, including significant volume days, volume dry-ups, and pocket pivots. Key Features: VDU (Volume Dry-Up) Detection: Automatically identifies and marks days when the volume is significantly below its moving average, helping to spot potential breakout or breakdown points. Customizable volume thresholds allow for tailored analysis based on your trading strategy. The Volume Dry-Up label appears when the volume is substantially below its average level and the price is near a key moving average. This condition indicates a period of equilibrium between supply and demand, suggesting a potential low-risk entry point for traders. Pocket Pivot Analysis using 5 and 10 Length Pocket Pivots: Highlights days with exceptionally high volume compared to recent history, indicating potential pocket pivots. Visual markers on the chart and volume bars color-coded for 5 and 10-day lengths. Pocket pivot points are identified when the volume on a given day exceeds the maximum volume observed over the past several days. Specifically, a 5-day pocket pivot point is marked when today's volume surpasses the highest selling volume of the last 5 days. A cluster of 5-day pocket pivot points within a base is a strong indicator of stock strength. Similarly, a 10-day pocket pivot point following a Volume Dry-Up (VDU) suggests a potential entry opportunity. Moreover, a pre-existing cluster of 5-day pocket pivot points before a 10-day pocket pivot point provides greater conviction in the trade. Volume Moving Averages: Set different lengths for primary and secondary moving averages to track volume trends over daily, weekly, and monthly timeframes. Options to display moving average lines on the volume chart. Volume Visualization: a. Major and Minor Volume Bars: Option to display bars that are either above or below average volume levels. Adjustable settings to show or hide these bars based on user preference. b. Volume Bar Coloring: Volume bars are color-coded based on significant volume thresholds, including green for bullish signals, red for bearish signals, and orange for volume dry-ups. Volume Metrics Table: A customizable table that displays real-time volume metrics including Relative Volume (RVOL), Turnover, and the number of high volume days. The table can be oriented horizontally or vertically and styled according to your theme preferences. Visual Indicators: a) Volume Dry-Up (VDU) Labels: Clearly marked VDU events with textual annotations on the chart. b) Bullish and Bearish Arrows: Arrows indicating potential bullish or bearish closes based on volume analysis, enhancing decision-making. Customization Options: a) Dark and Light Theme Support: Toggle between dark and light themes to match your chart settings. b) Adjustable Parameters: Easily configure input settings such as volume thresholds, MA lengths, and table display options to fit your trading style. How to Use: Set Parameters: Adjust the script settings such as volume thresholds, moving average lengths, and display preferences according to your analysis needs. Analyze Volume Patterns: Use the indicators and visual markers provided by the script to identify significant volume patterns and potential trading signals. Monitor Metrics: Refer to the volume metrics table for a quick overview of key volume-related statistics and trends. Make Informed Decisions: Utilize the visual cues and volume data provided by the script to enhance your trading strategy and make more informed decisions. Disclaimer: This script is for informational purposes only and should not be considered as trading advice. Use it in conjunction with other analysis tools and consult with a financial advisor if needed. Trading involves risk, and past performance does not guarantee future results.
Pine Script® göstergesi
PrasadJoshi12 tarafından
1
Auto Volume Spread Analysis (VSA) [TANHEF]Auto Volume Spread Analysis (visible volume and spread bars auto-scaled): Understanding Market Intentions through the Interpretation of Volume and Price Movements. All the sections below contain the same descriptions as my other indicator "Volume Spread Analysis" with the exception of 'Auto Scaling'. █ Auto-Scaling This indicator auto-scales spread bars to match the visible volume bars, unlike the previous "Volume Spread Analysis " version which limited the number of visible spread bars to a fixed count. The auto-scaling feature allows for easier navigation through historical data, enabling both more historical spread bars to be viewed and more historical VSA pattern labels being displayed without requiring using the bar replay tool. Please note that this indicator’s auto-scaling feature recalculates the visible bars on the chart, causing the indicator to reload whenever the chart is moved. Auto-scaled spread bars have two display options (set via 'Spread Bars Method' setting): Lines: a bar lookback limit of 500 bars. Polylines: no bar lookback limit as only plotted on visible bars on chart, which uses multiple polylines are used. █ Simple Explanation: The Volume Spread Analysis (VSA) indicator is a comprehensive tool that helps traders identify key market patterns and trends based on volume and spread data. This indicator highlights significant VSA patterns and provides insights into market behavior through color-coded volume/spread bars and identification of bars indicating strength, weakness, and neutrality between buyers and sellers. It also includes powerful volume and spread forecasting capabilities. █ Laws of Volume Spread Analysis (VSA): The origin of VSA begins with Richard Wyckoff, a pivotal figure in its development. Wyckoff made significant contributions to trading theory, including the formulation of three basic laws: The Law of Supply and Demand: This fundamental law states that supply and demand balance each other over time. High demand and low supply lead to rising prices until demand falls to a level where supply can meet it. Conversely, low demand and high supply cause prices to fall until demand increases enough to absorb the excess supply. The Law of Cause and Effect: This law assumes that a 'cause' will result in an 'effect' proportional to the 'cause'. A strong 'cause' will lead to a strong trend (effect), while a weak 'cause' will lead to a weak trend. The Law of Effort vs. Result: This law asserts that the result should reflect the effort exerted. In trading terms, a large volume should result in a significant price move (spread). If the spread is small, the volume should also be small. Any deviation from this pattern is considered an anomaly. █ Volume and Spread Analysis Bars: Display: Volume and spread bars that consist of color coded levels, with the spread bars scaled to match the volume bars. A displayable table (Legend) of bar colors and levels can give context and clarify to each volume/spread bar. Calculation: Levels are calculated using multipliers applied to moving averages to represent key levels based on historical data: low, normal, high, ultra. This method smooths out short-term fluctuations and focuses on longer-term trends. Low Level: Indicates reduced volatility and market interest. Normal Level: Reflects typical market activity and volatility. High Level: Indicates increased activity and volatility. Ultra Level: Identifies extreme levels of activity and volatility. This illustrates the appearance of Volume and Spread bars when scaled and plotted together: █ Forecasting Capabilities: Display: Forecasted volume and spread levels using predictive models. Calculation: Volume and Spread prediction calculations differ as volume is linear and spread is non-linear. Volume Forecast (Linear Forecasting): Predicts future volume based on current volume rate and bar time till close. Spread Forecast (Non-Linear Dynamic Forecasting): Predicts future spread using a dynamic multiplier, less near midpoint (consolidation) and more near low or high (trending), reflecting non-linear expansion. Moving Averages: In forecasting, moving averages utilize forecasted levels instead of actual levels to ensure the correct level is forecasted (low, normal, high, or ultra). The following compares forecasted volume with actual resulting volume, highlighting the power of early identifying increased volume through forecasted levels: █ VSA Patterns: Criteria and descriptions for each VSA pattern are available as tooltips beside them within the indicator’s settings. These tooltips provide explanations of potential developments based on the volume and spread data. Signs of Strength (🟢): Patterns indicating strong buying pressure and potential market upturns. Down Thrust Selling Climax No Effort ➤ Bearish Result Bearish Effort ➤ No Result Inverse Down Thrust Failed Selling Climax Bull Outside Reversal End of Falling Market (Bag Holder) Pseudo Down Thrust No Supply Signs of Weakness (🔴): Patterns indicating strong selling pressure and potential market downturns. Up Thrust Buying Climax No Effort ➤ Bullish Result Bullish Effort ➤ No Result Inverse Up Thrust Failed Buying Climax Bear Outside Reversal End of Rising Market (Bag Seller) Pseudo Up Thrust No Demand Neutral Patterns (🔵): Patterns indicating market indecision and potential for continuation or reversal. Quiet Doji Balanced Doji Strong Doji Quiet Spinning Top Balanced Spinning Top Strong Spinning Top Quiet High Wave Balanced High Wave Strong High Wave Consolidation Bar Patterns (🟡): Common candlestick patterns that offer insights into market sentiment. These are required in some VSA patterns and can also be displayed independently. Bull Pin Bar Bear Pin Bar Doji Spinning Top High Wave Consolidation This demonstrates the acronym and descriptive options for displaying bar patterns, with the ability to hover over text to reveal the descriptive text along with what type of pattern: █ Alerts: VSA Pattern Alerts: Notifications for identified VSA patterns at bar close. Volume and Spread Alerts: Alerts for confirmed and forecasted volume/spread levels (Low, High, Ultra). Forecasted Volume and Spread Alerts: Alerts for forecasted volume/spread levels (High, Ultra) include a minimum percent time elapsed input to reduce false early signals by ensuring sufficient bar time has passed. █ Inputs and Settings: Indicator Bar Color: Select color schemes for bars (Normal, Detail, Levels). Indicator Moving Average Color: Select schemes for bars (Fill, Lines, None). Price Bar Colors: Options to color price bars based on VSA patterns and volume levels. Legend: Display a table of bar colors and levels for context and clarity of volume/spread bars. Forecast: Configure forecast display and prediction details for volume and spread. Average Multipliers: Define multipliers for different levels (Low, High, Ultra) to refine the analysis. Moving Average: Set volume and spread moving average settings. VSA: Select the VSA patterns to be calculated and displayed (Strength, Weakness, Neutral). Bar Patterns: Criteria for bar patterns used in VSA (Doji, Bull Pin Bar, Bear Pin Bar, Spinning Top, Consolidation, High Wave). Colors: Set exact colors used for indicator bars, indicator moving averages, and price bars. More Display Options: Specify how VSA pattern text is displayed (Acronym, Descriptive), positioning, and sizes. Alerts: Configure alerts for VSA patterns, volume, and spread levels, including forecasted levels. █ Usage: The Volume Spread Analysis indicator is a helpful tool for leveraging volume spread analysis to make informed trading decisions. It offers comprehensive visual and textual cues on the chart, making it easier to identify market conditions, potential reversals, and continuations. Whether analyzing historical data or forecasting future trends, this indicator provides insights into the underlying factors driving market movements.
Pine Script® göstergesi
TanHef tarafından
7
Frequency and Volume ProfileFREQUENCY & VOLUME PROFILE ⚪ OVERVIEW The Frequency and Volume Profile indicator plots a frequency or volume profile based on the visible bars on the chart, providing insights into price levels with significant trading activity. ⚪ USAGE ● Market Structure Analysis: Identify key price levels where significant trading activity occurred, which can act as support and resistance zones. ● Volume Analysis: Use the volume mode to understand where the highest trading volumes have occurred, helping to confirm strong price levels. ● Trend Confirmation: Analyze the distribution of trading activity to confirm or refute trends, mark important levels as support and resistance, aiding in making more informed trading decisions. ● Frequency Distribution: In statistics, a frequency distribution is a list of the values that a variable takes in a sample. It is usually a list. Displayed as a histogram. ⚪ SETTINGS Source: Select the price data to use for the profile calculation (default: hl2). Move Profile: Set the number of bars to offset the profile from the current bar (default: 100). Mode: Choose between "Frequency" and "Volume" for the profile calculation. Profile Color: Customize the color of the profile lines. Lookback Period: Uses 5000 bars for daily and higher timeframes, otherwise 10000 bars. The Frequency Profile indicator is a powerful tool for visualizing price levels with significant trading activity, whether in terms of frequency or volume. Its dynamic calculation and customizable settings make it a versatile addition to any trading strategy.
Pine Script® göstergesi
VanHe1sing tarafından
11
Volume Spread Analysis [TANHEF]Volume Spread Analysis: Understanding Market Intentions through the Interpretation of Volume and Price Movements. █ Simple Explanation: The Volume Spread Analysis (VSA) indicator is a comprehensive tool that helps traders identify key market patterns and trends based on volume and spread data. This indicator highlights significant VSA patterns and provides insights into market behavior through color-coded volume/spread bars and identification of bars indicating strength, weakness, and neutrality between buyers and sellers. It also includes powerful volume and spread forecasting capabilities. █ Laws of Volume Spread Analysis (VSA): The origin of VSA begins with Richard Wyckoff, a pivotal figure in its development. Wyckoff made significant contributions to trading theory, including the formulation of three basic laws: The Law of Supply and Demand: This fundamental law states that supply and demand balance each other over time. High demand and low supply lead to rising prices until demand falls to a level where supply can meet it. Conversely, low demand and high supply cause prices to fall until demand increases enough to absorb the excess supply. The Law of Cause and Effect: This law assumes that a 'cause' will result in an 'effect' proportional to the 'cause'. A strong 'cause' will lead to a strong trend (effect), while a weak 'cause' will lead to a weak trend. The Law of Effort vs. Result: This law asserts that the result should reflect the effort exerted. In trading terms, a large volume should result in a significant price move (spread). If the spread is small, the volume should also be small. Any deviation from this pattern is considered an anomaly. █ Volume and Spread Analysis Bars: Display: Volume and/or spread bars that consist of color coded levels. If both of these are displayed, the number of spread bars can be limited for visual appeal and understanding, with the spread bars scaled to match the volume bars. While automatic calculation of the number of visual bars for auto scaling is possible, it is avoided to prevent the indicator from reloading whenever the number of visual price bars on the chart is adjusted, ensuring uninterrupted analysis. A displayable table (Legend) of bar colors and levels can give context and clarify to each volume/spread bar. Calculation: Levels are calculated using multipliers applied to moving averages to represent key levels based on historical data: low, normal, high, ultra. This method smooths out short-term fluctuations and focuses on longer-term trends. Low Level: Indicates reduced volatility and market interest. Normal Level: Reflects typical market activity and volatility. High Level: Indicates increased activity and volatility. Ultra Level: Identifies extreme levels of activity and volatility. This illustrates the appearance of Volume and Spread bars when scaled and plotted together: █ Forecasting Capabilities: Display: Forecasted volume and spread levels using predictive models. Calculation: Volume and Spread prediction calculations differ as volume is linear and spread is non-linear. Volume Forecast (Linear Forecasting): Predicts future volume based on current volume rate and bar time till close. Spread Forecast (Non-Linear Dynamic Forecasting): Predicts future spread using a dynamic multiplier, less near midpoint (consolidation) and more near low or high (trending), reflecting non-linear expansion. Moving Averages: In forecasting, moving averages utilize forecasted levels instead of actual levels to ensure the correct level is forecasted (low, normal, high, or ultra). The following compares forecasted volume with actual resulting volume, highlighting the power of early identifying increased volume through forecasted levels: █ VSA Patterns: Criteria and descriptions for each VSA pattern are available as tooltips beside them within the indicator’s settings. These tooltips provide explanations of potential developments based on the volume and spread data. Signs of Strength (🟢): Patterns indicating strong buying pressure and potential market upturns. Down Thrust Selling Climax No Effort → Bearish Result Bearish Effort → No Result Inverse Down Thrust Failed Selling Climax Bull Outside Reversal End of Falling Market (Bag Holder) Pseudo Down Thrust No Supply Signs of Weakness (🔴): Patterns indicating strong selling pressure and potential market downturns. Up Thrust Buying Climax No Effort → Bullish Result Bullish Effort → No Result Inverse Up Thrust Failed Buying Climax Bear Outside Reversal End of Rising Market (Bag Seller) Pseudo Up Thrust No Demand Neutral Patterns (🔵): Patterns indicating market indecision and potential for continuation or reversal. Quiet Doji Balanced Doji Strong Doji Quiet Spinning Top Balanced Spinning Top Strong Spinning Top Quiet High Wave Balanced High Wave Strong High Wave Consolidation Bar Patterns (🟡): Common candlestick patterns that offer insights into market sentiment. These are required in some VSA patterns and can also be displayed independently. Bull Pin Bar Bear Pin Bar Doji Spinning Top High Wave Consolidation This demonstrates the acronym and descriptive options for displaying bar patterns, with the ability to hover over text to reveal the descriptive text along with what type of pattern: █ Alerts: VSA Pattern Alerts: Notifications for identified VSA patterns at bar close. Volume and Spread Alerts: Alerts for confirmed and forecasted volume/spread levels (Low, High, Ultra). Forecasted Volume and Spread Alerts: Alerts for forecasted volume/spread levels (High, Ultra) include a minimum percent time elapsed input to reduce false early signals by ensuring sufficient bar time has passed. █ Inputs and Settings: Display Volume and/or Spread: Choose between displaying volume bars, spread bars, or both with different lookback periods. Indicator Bar Color: Select color schemes for bars (Normal, Detail, Levels). Indicator Moving Average Color: Select schemes for bars (Fill, Lines, None). Price Bar Colors: Options to color price bars based on VSA patterns and volume levels. Legend: Display a table of bar colors and levels for context and clarity of volume/spread bars. Forecast: Configure forecast display and prediction details for volume and spread. Average Multipliers: Define multipliers for different levels (Low, High, Ultra) to refine the analysis. Moving Average: Set volume and spread moving average settings. VSA: Select the VSA patterns to be calculated and displayed (Strength, Weakness, Neutral). Bar Patterns: Criteria for bar patterns used in VSA (Doji, Bull Pin Bar, Bear Pin Bar, Spinning Top, Consolidation, High Wave). Colors: Set exact colors used for indicator bars, indicator moving averages, and price bars. More Display Options: Specify how VSA pattern text is displayed (Acronym, Descriptive), positioning, and sizes. Alerts: Configure alerts for VSA patterns, volume, and spread levels, including forecasted levels. █ Usage: The Volume Spread Analysis indicator is a helpful tool for leveraging volume spread analysis to make informed trading decisions. It offers comprehensive visual and textual cues on the chart, making it easier to identify market conditions, potential reversals, and continuations. Whether analyzing historical data or forecasting future trends, this indicator provides insights into the underlying factors driving market movements.
Pine Script® göstergesi
TanHef tarafından
23
VolumeSpreadAnalysisLibrary "VolumeSpreadAnalysis" A library for Volume Spread Analysis (VSA). spread(_barIndex)   Calculates the spread of a bar.   Parameters:      _barIndex (int) : (int) The index of the bar.   Returns: (float) The spread of the bar. volume(_barIndex)   Retrieves the volume of a bar.   Parameters:      _barIndex (int) : (int) The index of the bar.   Returns: (float) The volume of the bar. body(_barIndex)   Calculates the body of a bar.   Parameters:      _barIndex (simple int) : (int) The index of the bar.   Returns: (float) The body size of the bar. wickUpper(_barIndex)   Calculates the upper wick of a bar (upper shadow).   Parameters:      _barIndex (simple int) : (int) The index of the bar.   Returns: (float) The upper wick size of the bar. wickLower(_barIndex)   Calculates the lower wick of a bar (lower shadow).   Parameters:      _barIndex (simple int) : (int) The index of the bar.   Returns: (float) The lower wick size of the bar. calcForecastedSMA(_source, _length, _forecastedLevel)   Calculates the forecasted Simple Moving Average (SMA).   Parameters:      _source (float) : (series float) Source data for calculation.      _length (simple int) : (int) The length of the SMA.      _forecastedLevel (float) : (float) The forecasted level to include in the calculation.   Returns: (float) The forecasted SMA value. calcForecastedEMA(_source, _length, _forecastedLevel)   Calculates the forecasted Exponential Moving Average (EMA).   Parameters:      _source (float) : (series float) Source data for calculation.      _length (simple int) : (int) The length of the EMA.      _forecastedLevel (float) : (float) The forecasted level to include in the calculation.   Returns: (float) The forecasted EMA value. calcForecastedRMA(_source, _length, _forecastedLevel)   Calculates the forecasted Relative Moving Average (RMA).   Parameters:      _source (float) : (series float) Source data for calculation.      _length (simple int) : (int) The length of the RMA.      _forecastedLevel (float) : (float) The forecasted level to include in the calculation.   Returns: (float) The forecasted RMA value. calcForecastedWMA(_source, _length, _forecastedLevel)   Calculates the forecasted Weighted Moving Average (WMA).   Parameters:      _source (float) : (series float) Source data for calculation.      _length (simple int) : (int) The length of the WMA.      _forecastedLevel (float) : (float) The forecasted level to include in the calculation.   Returns: (float) The forecasted WMA value. calcElapsedTimePercent()   Calculates the elapsed time percent of the current bar.   Returns: (float) The elapsed time percent. calcForecastedSpread(multiplierAtMidpoints, multiplierAtPeaks)   Calculates the forecasted spread using elapsed time and dynamic multipliers, handling spread's non-linear nature.   Parameters:      multiplierAtMidpoints (float) : (float) The multiplier value at midpoints.      multiplierAtPeaks (float) : (float) The multiplier value at peaks.   Returns: (float) The forecasted spread value. calcForecastedVolume()   Calculates the forecasted volume using elapsed time, satisfying volume's linear nature.   Returns: (float) The forecasted volume value. calcForecastedMA(_source, _length, _forecastedSource, _type)   Calculates the forecasted Moving Average (MA) based on the specified type.   Parameters:      _source (float) : (series float) Source data for calculation.      _length (simple int) : (int) The length of the MA.      _forecastedSource (float) : (float) The forecasted level to include in the calculation.      _type (simple string) : (string) The type of the MA ("SMA", "EMA", "SMMA (RMA)", "WMA").   Returns: (float) The forecasted MA value. calcMA(_source, _length, _type)   Calculates the Moving Average (MA) based on the specified type.   Parameters:      _source (float) : (series float) Source data for calculation.      _length (simple int) : (int) The length of the MA.      _type (simple string) : (string) The type of the MA ("SMA", "EMA", "SMMA (RMA)", "WMA").   Returns: (float) The MA value. bullBar(_barIndex)   Determines if the bar is bullish.   Parameters:      _barIndex (simple int) : (int) The index of the bar.   Returns: (bool) True if the bar is bullish, otherwise false. bearBar(_barIndex)   Determines if the bar is bearish.   Parameters:      _barIndex (simple int) : (int) The index of the bar.   Returns: (bool) True if the bar is bearish, otherwise false. breakout(_barIndex)   Determines if there is a breakout above the previous bar.   Parameters:      _barIndex (simple int) : (int) The index of the bar.   Returns: (bool) True if there is a breakout, otherwise false. breakdown(_barIndex)   Determines if there is a breakdown below the previous bar.   Parameters:      _barIndex (simple int) : (int) The index of the bar.   Returns: (bool) True if there is a breakdown, otherwise false. rejectionWickUpper(_rejectionWick)   Determines if the upper wick is a rejection wick.   Parameters:      _rejectionWick (simple float) : (float) The rejection wick percentage.   Returns: (bool) True if the upper wick is a rejection wick, otherwise false. rejectionWickLower(_rejectionWick)   Determines if the lower wick is a rejection wick.   Parameters:      _rejectionWick (simple float) : (float) The rejection wick percentage.   Returns: (bool) True if the lower wick is a rejection wick, otherwise false. setupDataVolume(_data, _mult_Low, _mult_High, _mult_Ultra, _maLengthVolume, _maTypeVolume)   Sets up data for volume levels.   Parameters:      _data (map) : (map) The map to store the levels.      _mult_Low (simple float) : (float) The multiplier for low level.      _mult_High (simple float) : (float) The multiplier for high level.      _mult_Ultra (simple float) : (float) The multiplier for ultra level.      _maLengthVolume (simple int) : (int) The length for MA.      _maTypeVolume (simple string) : (string) The type for MA.   Returns: (void) Nothing. setupDataSpread(_data, _mult_Low, _mult_High, _mult_Ultra, _maLengthSpread, _maTypeSpread)   Sets up data for spread levels.   Parameters:      _data (map) : (map) The map to store the levels.      _mult_Low (simple float) : (float) The multiplier for low level.      _mult_High (simple float) : (float) The multiplier for high level.      _mult_Ultra (simple float) : (float) The multiplier for ultra level.      _maLengthSpread (simple int) : (int) The length for MA.      _maTypeSpread (simple string) : (string) The type for MA.   Returns: (void) Nothing. setupDataForecastVolume(_dataForecast, _mult_Low, _mult_High, _mult_Ultra, _maLengthVolume, _predictedLevelVolume, _maTypeVolume)   Sets up data for volume and spread levels for forecast.   Parameters:      _dataForecast (map)      _mult_Low (simple float) : (float) The multiplier for low level.      _mult_High (simple float) : (float) The multiplier for high level.      _mult_Ultra (simple float) : (float) The multiplier for ultra level.      _maLengthVolume (simple int) : (int) The length for MA.      _predictedLevelVolume (float) : (float) The predicted level for MA.      _maTypeVolume (simple string) : (string) The type for MA.   Returns: (void) Nothing. setupDataForecastSpread(_dataForecast, _mult_Low, _mult_High, _mult_Ultra, _maLengthSpread, _predictedLevelSpread, _maTypeSpread)   Sets up data for spread levels for forecast.   Parameters:      _dataForecast (map)      _mult_Low (simple float) : (float) The multiplier for low level.      _mult_High (simple float) : (float) The multiplier for high level.      _mult_Ultra (simple float) : (float) The multiplier for ultra level.      _maLengthSpread (simple int) : (int) The length for MA.      _predictedLevelSpread (float) : (float) The predicted level for MA.      _maTypeSpread (simple string) : (string) The type for MA.   Returns: (void) Nothing. isVolumeLow(_data, _barIndex)   Determines if the volume is low.   Parameters:      _data (map) : (map) The data map with volume levels.      _barIndex (int)   Returns: (bool) True if the volume is low, otherwise false. isVolumeNormal(_data, _barIndex)   Determines if the volume is normal.   Parameters:      _data (map) : (map) The data map with volume levels.      _barIndex (int)   Returns: (bool) True if the volume is normal, otherwise false. isVolumeHigh(_data, _barIndex)   Determines if the volume is high.   Parameters:      _data (map) : (map) The data map with volume levels.      _barIndex (int)   Returns: (bool) True if the volume is high, otherwise false. isVolumeUltra(_data, _barIndex)   Determines if the volume is ultra.   Parameters:      _data (map) : (map) The data map with volume levels.      _barIndex (int)   Returns: (bool) True if the volume is ultra, otherwise false. isSpreadLow(_data, _barIndex)   Determines if the spread is low.   Parameters:      _data (map) : (map) The data map with spread levels.      _barIndex (int)   Returns: (bool) True if the spread is low, otherwise false. isSpreadNormal(_data, _barIndex)   Determines if the spread is normal.   Parameters:      _data (map) : (map) The data map with spread levels.      _barIndex (int)   Returns: (bool) True if the spread is normal, otherwise false. isSpreadHigh(_data, _barIndex)   Determines if the spread is high.   Parameters:      _data (map) : (map) The data map with spread levels.      _barIndex (int)   Returns: (bool) True if the spread is high, otherwise false. isSpreadUltra(_data, _barIndex)   Determines if the spread is ultra.   Parameters:      _data (map) : (map) The data map with spread levels.      _barIndex (int)   Returns: (bool) True if the spread is ultra, otherwise false. isVolumeText(_data)   Determines text string representing the volume area level.   Parameters:      _data (map) : (map) The data map with volume levels.   Returns: (string) Text string of Low, Normal, High, or Ultra. isSpreadText(_data)   Determines text string representing the spread area level.   Parameters:      _data (map) : (map) The data map with spread levels.   Returns: (string) Text string of Low, Normal, High, or Ultra. calcBarColor(_value, _level)   Calculates the color based level.   Parameters:      _value (float) : (float) The value to check.      _level (float) : (float) The value level for comparison.   Returns: (color) The color for the bar. bullPinBar(_maxBodyPercent, _minWickPercent)   Determines if the bar is a bull pin bar.   Parameters:      _maxBodyPercent (simple float) : (float) The maximum body percentage.      _minWickPercent (simple float) : (float) The minimum wick percentage.   Returns: (bool) True if the bar is a bull pin bar, otherwise false. bearPinBar(_maxBodyPercent, _minWickPercent)   Determines if the bar is a bear pin bar.   Parameters:      _maxBodyPercent (simple float) : (float) The maximum body percentage.      _minWickPercent (simple float) : (float) The minimum wick percentage.   Returns: (bool) True if the bar is a bear pin bar, otherwise false. dojiBar(_maxBodyPercent)   Determines if the bar is a doji.   Parameters:      _maxBodyPercent (simple float) : (float) The maximum body percentage.   Returns: (bool) True if the bar is a doji, otherwise false. spinningTopBar(_minWicksPercent, _emaLength)   Determines if the bar is a spinning top.   Parameters:      _minWicksPercent (simple float) : (float) The minimum wicks percentage.      _emaLength (simple int) : (int) The length for EMA calculation.   Returns: (bool) True if the bar is a spinning top, otherwise false. highWaveBar(_minBodyPercent, _minWickPercent, _bars)   Determines if the bar is a high wave bar.   Parameters:      _minBodyPercent (simple float) : (float) The minimum body percentage.      _minWickPercent (simple float) : (float) The minimum wick percentage.      _bars (simple int) : (int) The number of bars for comparison.   Returns: (bool) True if the bar is a high wave bar, otherwise false. consolidationBar(_data, _spread, _bars)   Determines if the bars are in consolidation.   Parameters:      _data (map) : (map) The data map with spread levels.      _spread (simple float) : (float) The spread percentage for comparison.      _bars (simple int) : (int) The number of bars for comparison.   Returns: (bool) True if the bars are in consolidation, otherwise false. S_DownThrust(_data, _bullPinBarMaxBody, _bullPinBarMinWick)   Determines if there is a sign of strength (DownThrust).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _bullPinBarMaxBody (simple float) : (float) The maximum body percentage for bull pin bar.      _bullPinBarMinWick (simple float) : (float) The minimum wick percentage for bull pin bar.   Returns: (bool) True if there is a sign of strength (DownThrust), otherwise false. S_SellingClimax(_data, _rejectionWick)   Determines if there is a sign of strength (Selling Climax).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _rejectionWick (simple float) : (float) The rejection wick percentage.   Returns: (bool) True if there is a sign of strength (Selling Climax), otherwise false. S_NoEffortBearishResult()   Determines if there is a sign of strength (No Effort Bearish Result).   Returns: (bool) True if there is a sign of strength (No Effort Bearish Result), otherwise false. S_BearishEffortNoResult()   Determines if there is a sign of strength (Bearish Effort No Result).   Returns: (bool) True if there is a sign of strength (Bearish Effort No Result), otherwise false. S_InverseDownThrust(_data, _bearPinBarMaxBody, _bearPinBarMinWick)   Determines if there is a sign of strength (Inverse DownThrust).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _bearPinBarMaxBody (simple float) : (float) The maximum body percentage for bear pin bar.      _bearPinBarMinWick (simple float) : (float) The minimum wick percentage for bear pin bar.   Returns: (bool) True if there is a sign of strength (Inverse DownThrust), otherwise false. S_FailedSellingClimax()   Determines if there is a sign of strength (Failed Selling Climax).   Returns: (bool) True if there is a sign of strength (Failed Selling Climax), otherwise false. S_BullOutsideReversal(_data)   Determines if there is a sign of strength (Bull Outside Reversal).   Parameters:      _data (map) : (map) The data map with volume and spread levels.   Returns: (bool) True if there is a sign of strength (Bull Outside Reversal), otherwise false. S_EndOfFallingMarket(_data)   Determines if there is a sign of strength (End of Falling Market).   Parameters:      _data (map) : (map) The data map with volume and spread levels.   Returns: (bool) True if there is a sign of strength (End of Falling Market), otherwise false. S_PseudoDownThrust(_bullPinBarMaxBody, _bullPinBarMinWick)   Determines if there is a sign of strength (Pseudo DownThrust).   Parameters:      _bullPinBarMaxBody (simple float) : (float) The maximum body percentage for bull pin bar.      _bullPinBarMinWick (simple float) : (float) The minimum wick percentage for bull pin bar.   Returns: (bool) True if there is a sign of strength (Pseudo DownThrust), otherwise false. S_NoSupply(_bullPinBarMaxBody, _bullPinBarMinWick)   Determines if there is a sign of strength (No Supply).   Parameters:      _bullPinBarMaxBody (simple float) : (float) The maximum body percentage for bull pin bar.      _bullPinBarMinWick (simple float) : (float) The minimum wick percentage for bull pin bar.   Returns: (bool) True if there is a sign of strength (No Supply), otherwise false. W_UpThrust(_data, _bearPinBarMaxBody, _bearPinBarMinWick)   Determines if there is a sign of weakness (UpThrust).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _bearPinBarMaxBody (simple float) : (float) The maximum body percentage for bear pin bar.      _bearPinBarMinWick (simple float) : (float) The minimum wick percentage for bear pin bar.   Returns: (bool) True if there is a sign of weakness (UpThrust), otherwise false. W_BuyingClimax(_data, _rejectionWick)   Determines if there is a sign of weakness (Buying Climax).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _rejectionWick (simple float) : (float) The rejection wick percentage.   Returns: (bool) True if there is a sign of weakness (Buying Climax), otherwise false. W_NoEffortBullishResult()   Determines if there is a sign of weakness (No Effort Bullish Result).   Returns: (bool) True if there is a sign of weakness (No Effort Bullish Result), otherwise false. W_BullishEffortNoResult()   Determines if there is a sign of weakness (Bullish Effort No Result).   Returns: (bool) True if there is a sign of weakness (Bullish Effort No Result), otherwise false. W_InverseUpThrust(_data, _bullPinBarMaxBody, _bullPinBarMinWick)   Determines if there is a sign of weakness (Inverse UpThrust).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _bullPinBarMaxBody (simple float) : (float) The maximum body percentage for bull pin bar.      _bullPinBarMinWick (simple float) : (float) The minimum wick percentage for bull pin bar.   Returns: (bool) True if there is a sign of weakness (Inverse UpThrust), otherwise false. W_FailedBuyingClimax()   Determines if there is a sign of weakness (Failed Buying Climax).   Returns: (bool) True if there is a sign of weakness (Failed Buying Climax), otherwise false. W_BearOutsideReversal(_data)   Determines if there is a sign of weakness (Bear Outside Reversal).   Parameters:      _data (map) : (map) The data map with volume and spread levels.   Returns: (bool) True if there is a sign of weakness (Bear Outside Reversal), otherwise false. W_EndOfRisingMarket(_data)   Determines if there is a sign of weakness (End of Rising Market).   Parameters:      _data (map) : (map) The data map with volume and spread levels.   Returns: (bool) True if there is a sign of weakness (End of Rising Market), otherwise false. W_PseudoUpThrust(_bearPinBarMaxBody, _bearPinBarMinWick)   Determines if there is a sign of weakness (Pseudo UpThrust).   Parameters:      _bearPinBarMaxBody (simple float) : (float) The maximum body percentage for bear pin bar.      _bearPinBarMinWick (simple float) : (float) The minimum wick percentage for bear pin bar.   Returns: (bool) True if there is a sign of weakness (Pseudo UpThrust), otherwise false. W_NoDemand(_bearPinBarMaxBody, _bearPinBarMinWick)   Determines if there is a sign of weakness (No Demand).   Parameters:      _bearPinBarMaxBody (simple float) : (float) The maximum body percentage for bear pin bar.      _bearPinBarMinWick (simple float) : (float) The minimum wick percentage for bear pin bar.   Returns: (bool) True if there is a sign of weakness (No Demand), otherwise false. N_QuietDoji(_dojiBarMaxBody)   Determines if there is a neutral signal (Quiet Doji).   Parameters:      _dojiBarMaxBody (simple float) : (float) The maximum body percentage for doji bar.   Returns: (bool) True if there is a neutral signal (Quiet Doji), otherwise false. N_BalancedDoji(_data, _dojiBarMaxBody)   Determines if there is a neutral signal (Balanced Doji).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _dojiBarMaxBody (simple float) : (float) The maximum body percentage for doji bar.   Returns: (bool) True if there is a neutral signal (Balanced Doji), otherwise false. N_StrongDoji(_dojiBarMaxBody)   Determines if there is a neutral signal (Strong Doji).   Parameters:      _dojiBarMaxBody (simple float) : (float) The maximum body percentage for doji bar.   Returns: (bool) True if there is a neutral signal (Strong Doji), otherwise false. N_QuietSpinningTop(_spinningTopBarMinWicks, _spinningTopBarEmaLength)   Determines if there is a neutral signal (Quiet Spinning Top).   Parameters:      _spinningTopBarMinWicks (simple float) : (float) The minimum wicks percentage for spinning top bar.      _spinningTopBarEmaLength (simple int) : (int) The length for EMA calculation.   Returns: (bool) True if there is a neutral signal (Quiet Spinning Top), otherwise false. N_BalancedSpinningTop(_data, _spinningTopBarMinWicks, _spinningTopBarEmaLength)   Determines if there is a neutral signal (Balanced Spinning Top).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _spinningTopBarMinWicks (simple float) : (float) The minimum wicks percentage for spinning top bar.      _spinningTopBarEmaLength (simple int) : (int) The length for EMA calculation.   Returns: (bool) True if there is a neutral signal (Balanced Spinning Top), otherwise false. N_StrongSpinningTop(_spinningTopBarMinWicks, _spinningTopBarEmaLength)   Determines if there is a neutral signal (Strong Spinning Top).   Parameters:      _spinningTopBarMinWicks (simple float) : (float) The minimum wicks percentage for spinning top bar.      _spinningTopBarEmaLength (simple int) : (int) The length for EMA calculation.   Returns: (bool) True if there is a neutral signal (Strong Spinning Top), otherwise false. N_QuietHighWave(_highWaveBarMinBody, _highWaveBarMinWick, _highWaveBarBars)   Determines if there is a neutral signal (Quiet High Wave).   Parameters:      _highWaveBarMinBody (simple float) : (float) The minimum body percentage for high wave bar.      _highWaveBarMinWick (simple float) : (float) The minimum wick percentage for high wave bar.      _highWaveBarBars (simple int) : (int) The number of bars for comparison.   Returns: (bool) True if there is a neutral signal (Quiet High Wave), otherwise false. N_BalancedHighWave(_data, _highWaveBarMinBody, _highWaveBarMinWick, _highWaveBarBars)   Determines if there is a neutral signal (Balanced High Wave).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _highWaveBarMinBody (simple float) : (float) The minimum body percentage for high wave bar.      _highWaveBarMinWick (simple float) : (float) The minimum wick percentage for high wave bar.      _highWaveBarBars (simple int) : (int) The number of bars for comparison.   Returns: (bool) True if there is a neutral signal (Balanced High Wave), otherwise false. N_StrongHighWave(_highWaveBarMinBody, _highWaveBarMinWick, _highWaveBarBars)   Determines if there is a neutral signal (Strong High Wave).   Parameters:      _highWaveBarMinBody (simple float) : (float) The minimum body percentage for high wave bar.      _highWaveBarMinWick (simple float) : (float) The minimum wick percentage for high wave bar.      _highWaveBarBars (simple int) : (int) The number of bars for comparison.   Returns: (bool) True if there is a neutral signal (Strong High Wave), otherwise false. N_Consolidation(_data, _consolidationBarSpread, _consolidationBarBars)   Determines if there is a neutral signal (Consolidation).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _consolidationBarSpread (simple float) : (float) The spread percentage for consolidation bar.      _consolidationBarBars (simple int) : (int) The number of bars for comparison.   Returns: (bool) True if there is a neutral signal (Consolidation), otherwise false.
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Net Buying/Selling Flows Toolkit [AlgoAlpha]🌟📊 Introducing the Net Buying/Selling Flows Toolkit by AlgoAlpha 📈🚀 🔍 Explore the intricate dynamics of market movements with the Net Buying/Selling Flows Toolkit designed for precision and effectiveness in visualizing money inflows and outflows and their impact on asset prices. 🔀 Multiple Display Modes : Choose from "Flow Comparison", "Net Flow", or "Sum of Flows" to view the data in the most relevant way for your analysis. 📏 Adjustable Unit Display : Easily manage the magnitude of the values displayed with options like "1 Billion", "1 Million", "1 Thousand", or "None". 🔧 Lookback Period Customization : Tailor the sum calculation window with a configurable lookback period, applicable in "Sum of Flows" mode. 📊 Deviation Thresholds : Set up lower and upper deviation thresholds to identify significant changes in flow data. 🔄 Reversal Signals and Deviation Bands : Enable signals for potential reversals and visualize deviation bands for comparative analysis. 🎨 Color-coded Visualization : Distinct colors for upward and downward movements make it easy to distinguish between buying and selling pressures. 🚀 Quick Guide to Using the Net Buying/Selling Flows Toolkit : 🔍 Add the Indicator : Add the indicator to you favorites. Customize the settings to fit your trading requirements. 👁️‍🗨️ Data Analysis : Compare the trend of Buying and Selling to help indicate whether bulls or bears are in control of the market. Utilize the different display modes to present the data in different form to suite your analysis style. 🔔 Set Alerts : Activate alerts for reversal conditions to keep abreast of significant market movements without having to monitor the charts constantly. 🌐 How It Works : The toolkit processes volume data on a lower timeframe to distinguish between buying and selling pressures based on intra-bar price closing higher or lower than it opened. It aggregates these transactions and finds the net selling and buying that took place during that bar, offering a clearer view of market fundamentals. The indicator then plots this data visually with multiple modes including comparisons between buying/selling and the net flow of the asset. Deviation thresholds help in identifying significant changes, allowing traders to spot potential buying or selling opportunities based on the money flow dynamics. The "Sum of Flows" mode is unique from other trend following indicators as it does not determine trend based on price action, but rather based on the net buying/selling. Therefore in some cases the "Sum of Flows" mode can be a leading indicator showing bullish/bearish net flows even before the prices move significantly. Embark on a more informed trading journey with this dynamic and insightful tool, tailor-made for those who demand precision and clarity in their trading strategies. 🌟📉📈
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AlgoAlpha tarafından
6
Smart Money Liquidity Heatmap [AlgoAlpha]🌟📈 Introducing the Smart Money Liquidity Heatmap by AlgoAlpha! 🗺️🚀 Dive into the depths of market liquidity with our innovative Pine Script™ indicator designed to illuminate the trading actions of smart money! This meticulously crafted tool provides an enhanced visualization of liquidity flow, highlighting the dynamics between smart and retail investors directly on your chart! 🌐🔍 🙌 Key Features of the Smart Money Liquidity Heatmap: 🖼️ Visual Clarity: Uses vibrant heatmap colors to represent liquidity concentrations, making it easier to spot significant trading zones. 🔧 Customizable Settings: Adjust index periods, volume flow periods, and more to tailor the heatmap to your trading strategy. 📊 Dynamic Ratios: Computes the ratio of smart money to retail trading activity, providing insights into who is driving market movements. 👓 Transparency Options: Modify color intensity for better visibility against various chart backgrounds. 🛠 How to Use the Smart Money Liquidity Heatmap: 1️⃣ Add the Indicator: Add the indicator to favourites. Customize settings to align with your trading preferences, including periods for index calculation and volume flow. 2️⃣ Market Analysis: Monitor the heatmap for high liquidity zones signalled by the heatmap. These are potential areas where smart money is actively engaging, providing crucial insights into market dynamics. Basic Logic Behind the Indicator: The Smart Money Liquidity Heatmap utilizes the Smart Money Interest Index Indicator and operates by differentiating between the trading behaviors of informed (smart money) and less-informed (retail) traders. It calculates the differences between specific volume indices—Positive Volume Index (PVI) for retail investors and Negative Volume Index (NVI) for institutional players—and their respective moving averages, highlighting these differences using the Relative Strength Index (RSI) over user-specified periods. This calculation generates a ratio that is then normalized and compared against a threshold to identify areas of high institutional trading interest, visually representing these zones on your chart as vibrant heatmaps. This enables traders to visually identify where significant trading activities among smart money are occurring, potentially signalling important buying or selling opportunities. 🎉 Elevate your trading experience with precision, insight, and clarity by integrating the Smart Money Liquidity Heatmap into your toolkit today!
Pine Script® göstergesi
AlgoAlpha tarafından
10
Effective Volume Z-ScoreThis indicator aims at responding the question: is the current trend supported by volume? The concept and formula The central concept is the Effective Volume, calculated as follow: effectiveVolume = volume * (close - open) / (high - low) Then the Effective Volume Z-Score indicator is calculated by smoothing the effective volume and applying the z-score function: zscore(x) = (x - mean) / stdev Essentially, the indicator's value represents the number of standard deviations of the effective volume away from the mean. How to use it This indicator should be used for trend confirmation. For an uptrend, the bigger the indicator value, the greater the volume support, while for a downtrend, the lower the indicator value, the greater the volume support. Divergences are also important, as with every volume indicator.
Pine Script® göstergesi
eugencovaci tarafından
Volume Breakout [Afnan]Introducing the Relative Volume / Volume Breakout Multiplier (RVI) , RVI is specifically designed for traders who incorporate volume breakout analysis into their trading strategies, particularly breakout traders. This indicator provides a unique perspective on volume dynamics by quantifying the extent of volume breakouts in relation to the Simple Moving Average (SMA). It offers an upgraded version of the default volume indicator on TradingView, with the added feature of Relative Volume. For example, if the volume SMA is 100M and the current volume is 200M, the indicator will return a breakout number of 2.0, indicating that the current volume is twice that of the volume SMA. Conversely, if the volume SMA is 100M and the current volume is 50M, the indicator will return a value of 0.50, indicating that the current volume is half of the volume SMA. This tool can be a very helpful for breakout traders, helping them identify potential trading opportunities and assess volume strength more effectively. this indicator is a must-have in the toolkit of any trader who focuses on volume breakout analysis. Remember, every tool we use, every analysis we perform, is a step towards becoming better traders. So, let’s embrace this journey of continuous learning and improvement together. As the saying goes, “The only limit to our realization of tomorrow will be our doubts of today." Let’s step into the future with confidence, armed with the right tools and the right mindset. Lastly, a big thank you for your support, your likes, and your comments. They mean a lot! If you have any questions, feel free to ask. Together, let’s make trading a rewarding experience!
Pine Script® göstergesi
AfnanTAjuddin tarafından
9
Volume Flow Oscillator (VFO)I created the Volume Flow Oscillator (VFO) to explore the intricate interplay between volume and price movements over a specific lookback period. This tool contrasts volumes that move in sync with the price against those that move in opposition, signaling potential overbought or oversold territories. To determine the direction, I compare the current price to its value four periods back, shedding light on underlying bullish or bearish momentum. The VFO enriches my analysis and decision-making by offering a detailed perspective on how volume trends correlate with price changes. Its color-coded visuals are crucial for highlighting optimal trading points based on volume dynamics.
Pine Script® göstergesi
tkarolak tarafından
Relative Volume Candles [QuantVue]In the words of Dan Zanger, "Trying to trade without using volume is like trying to drive a few hundred miles without putting gas in your tank. Trying to trade without chart patterns is like leaving without having an idea how to get there!" Volume tends to show up at the beginning and the end of trends. As a general rule, when a stock goes up on low volume, it's seen as negative because it means buyers aren't committed. When a stock goes down on low volume, it means that not many people are trying to sell it, which is positive. The Relative Volume Candles indicator is based on the Zanger Volume Ratio and designed to help identify key volume patterns effortlessly, with color coded candles and wicks. The indicator is designed to be used on charts less than 1 Day and calculates the average volume for the user selected lookback period at the given time of day. From there a ratio of the current volume vs the average volume is used to determine the candle’s colors. The candles wicks are color coded based on whether or not the volume ratio is rising or falling. So when is it most important to have volume? When prices break out of a consolidation pattern like a bull flag or cup and handle pattern, volume plays a role. When a stock moves out of a range, volume shows how committed buyers are to that move. Note in order to see this indicator you will need to change the visual order. This is done by selecting the the 3 dots next to the indicator name, scrolling down to visual order and selecting bring to front. Indicator Features 🔹Selectable candle colors 🔹Selectable ratio levels 🔹Custom lookback period*** ***TradingView has a maximum 5,000 bar lookback for most plans. If you are on a lower time frame chart and you select a lookback period larger than 5,000 bars the indicator will not show and you will need to select a shorter lookback period or move to a higher time frame chart. Give this indicator a BOOST and COMMENT your thoughts! We hope you enjoy. Cheers!
Pine Script® göstergesi
QuantVue tarafından
5
Bull Vs Bear Visible Range VP [Kioseff Trading]Hello! This Script “Bull vs Bear Visible Range VP” Calculates Bull & Bear Volume Profiles for the Visible Range Alongside a Delta Ladder for the Visible Period! Features Volume Profile Anchored to Visible Range Delta Ladder Anchored to Visible Range Bull vs Bear Profiles! Standard Poc and Value Area Lines, in Addition to Separated POCs and Value Area Lines for Bull Profiles and Bear Profiles Configurable Value Area Target Curved Profiles Up to 9999 Profile Rows per Visible Range Stylistic Options for Profiles This Script Generates Bull vs. Bear Volume Profiles for the Visible Range! Up to 9999 Volume Profile Levels (Price Levels) Can Be Calculated for Each Profile, Thanks to the New Polyline Feature, Allowing For Less Aggregation / More Precision of Volume at Price and Volume Delta. Bull vs Bear Profiles The Image Above Shows Primary Functionality! Green Profiles = Buying Volume Red Profiles = Selling Volume Bullish & Bearish Pocs for the Visible Range Are Displayable! Profiles Can Be Anchored on the Left Side for a More Traditional Look. The indicator is robust enough to calculate on "small price periods", or for a price period spanning your entire chart fully zoomed out! That’s About It :D This Indicator Is Part of a Series Titled “Bull vs. Bear” - A Suite of Profile-Like Indicators I Will Be Releasing Over Coming Days. Thanks for Checking This Out! If You Have Any Suggestions Please Feel Free to Share!
Pine Script® göstergesi
KioseffTrading tarafından
11
Volume-Price DiffScript is designed to analize volatility in real-time. Once added to chart, script starting to collect 2 things: Ticks count (tc) Price changing ticks count (pctc) The pctc/tc ratio may be interpret as a volatility measure. Label above real-time bar shows: Ticks count Price changing ticks count Ratio between (2) and (1) in percents Using this indicator trader may detect volatility spikes. More the "Diff" - less the volatility and vice versa.
Pine Script® göstergesi
MONEY_MEDITATION tarafından
1
Quantum Market Strength Indicator (MSI)The Market Strength Indicator (MSI) is yet another in our stable of volume-based indicators, and as such, is a must-have tool for trading virtually any type of market and across a myriad of applications from trend trading to swing trading, scalping, and much more. While its sister indicator, the Currency Strength Indicator (CSI), helps you analyze which currencies are oversold, overbought, correlating, and trending, the MSI or Market Strength Indicator does this also, but in this case, for all markets, including stocks, ETFs, futures, and cryptocurrencies, but with one key difference – VOLUME. As with our core methodology of volume price analysis, volume adds an entirely new dimension to trading analysis as it reveals the driving pressure behind the price action, be it strong or weak, which are all factored into the algorithm that drives the Market Strength Indicator. But with the MSI indicator, its use and application is only limited by your imagination. For example, we can use it to see which markets are correlating and which are not so that we might use it as an intraday tool for index futures. And, of course, with knowledge gained from the stock trading and investing program, we could then further validate any analysis by setting each against the top five market cap stocks, for confirmation of strength and to give us more confidence in trading an index future. And not just index futures, but any futures you care to consider, such as energy, metals, softs, currencies or anything else. For day traders of stocks, you might wish to see which are correlating with one another and which are not, for example, if you are pairs trading, and also whether a particular stock is moving with the primary futures index. If not, this may be a warning sign. And of course, for ETF traders, we have the SPY, a host of ETFs, and alongside them, the sectors, such as the XLK, the XLE, and more, giving you an instant and powerful insight into sentiment across the entire market complex. The Market Strength Indicator has much to offer; whether you are a stock investor or day trading scalper, index or ETF trader, swing trader or trend trader, it is all here as the indicator signals in a clear and intuitive way when a stock, future or ETF is overbought or oversold in all timeframes, giving you that potent insight into potential reversals from strong to weak and back again. If you enjoy getting into a trend early and trading reversals, then this is the indicator for you, but if you prefer trading trends – no problem, just jump aboard once the move has some momentum and is underway as displayed by the steepness of the line on the indicator. It’s all here and so much more, from market correlations to market strength and weakness and in all the timeframes from seconds to months. And just like its sister indicator, the CSI, the MSI is an oscillator that moves seamlessly from overbought to oversold and back again between a value of 100 at the top and zero at the bottom, with each instrument or market represented with a single-colored line. To help further, we’ve included two regions on the indicator to represent these states at 70 and 30, respectively, but you can change these accordingly and perhaps extend them further to 80 and 20. These levels are purely intended as guides to help provide additional information as to the market state and a potential reversal in due course. Now, in a single indicator, you have the opportunity to gauge sentiment across multiple markets, whether these are correlating or not, and from there develop a myriad of trading opportunities, or alternatively give you that all-important confidence to dive in, or maintain an existing position. Through its unique algorithm based on volume, it is another indicator only limited by your imagination, and like all our other indicators, one we urge you to use in multiple timeframes.
Pine Script® göstergesi
QuantumTradingSoftware tarafından
Quantum VRSIThe VRSI indicator is another in the suite of volume indicators we have developed and one that complements our volume price analysis methodology perfectly. and was developed out of a desire to build further on our cornerstone of VPA by peeling back the layers of volume and considering the relative aspect of volume. Hence, the acronym of Volume Relative Strength Index indicator encapsulates what the indicator is all about. By analyzing relative volume, we are able to see a visual representation of the pressure in a trend, or indeed the lack of pressure, and in doing so, present in a clear, intuitive, and colorful way whether the trend we are trading or considering joining is being driven with constant or rising pressure as it develops. If so, the indicator gives us that all-important ingredient: confidence—namely, the confidence to continue maintaining the position for as long as possible. However, equally important is when we see a trend that is tiring, with falling pressure, sending a strong signal it is time to close out. Alternatively, when there is little or no pressure in the trend, this is a signal to wait and be patient. These signals are delivered in a variety of ways, primarily through a color change sequence of brighter or darker colors, but equally importantly, based on the height of each pressure bar and its relationship to its neighbor or groups of bars. And herein lies the close relationship to the volume price analysis methodology since the interpretation of both is about judging bars against one in terms of confirmation of trends, such as rising volume and rising pressure bars, or alternatively falling volume and falling pressure bars signaling that the trend is weakening. The Volume Relative Strength Index indicator, or VRSI, embodies the core concept of volume-price analysis. It blends trading volume data with price to create an indicator for all the various markets and instruments, whether stocks, ETFs, futures, forex, or cryptocurrencies. The result is an intuitive visual representation of the market’s underlying bullish and bearish pressure in the form of an oscillating histogram with varying colors, with the central fulcrum at zero giving a clear indication when sentiment is shifting from bullish to bearish, or vice versa. Now, for the first time, you can see the strength of the trend represented visually and clearly based on our two leading indicators of relative volume and price, giving you that essential ingredient we all seek: confidence. And just as with all our other indicators, we urge you to use it in multiple timeframes.
Pine Script® göstergesi
QuantumTradingSoftware tarafından
10
Quantum VWAP ProThe VWAP indicator is another of our suite of volume indicators and one which was first referred to in 1988 when it appeared in an article entitled “The Total Cost Of Transactions On The NYSE” in the March edition of the Journal Of Finance from that year, which went on to explain its importance, particularly from an institutional perspective, which underpins its significance in appreciating the power and importance of this indicator. In many ways, it is akin to the volume price analysis methodology itself, as we are merely attempting to follow the footprints in the sand left by their passage and described by volume. The same is true here, but in this case, we are following the institutions in much the same way. Originally, the VWAP indicator was developed as a benchmark to measure whether an institutional customer received a fair execution of their order by the broker buying and selling on their behalf. The difference between the reported price and the VWAP gave the customer a benchmark against which to judge whether they had received a fair price or not. A portfolio manager for example, wants to know how the price they paid compared to the average price of the stock during the time it took to fill the order. If an order is filled at a worse price than the VWAP, it raises questions as to the ability of the broker. If the broker purchased a million shares at $40.50 and the VWAP during this time was at $40.70, the customer is likely to be happy since they paid 20 cents less than ‘fair value’. Equally, if the stock were purchased above, at, say $40.90 per share, the customer would consider this a poor trade, paying well above the fair value price at the VWAP. The simplicity of this easy-to-understand benchmark, which creates this fair value price concept, has led to its wholehearted adoption amongst the institutions, and moreover, why algorithmic VWAP orders now dominate institutional market activity. A huge percentage of institutional orders are executed as VWAP orders, which raises two key questions. First of all, why, and second, how can we benefit from using the indicator? If we start with the why, according to reports from the leading market makers, almost 40% of orders are now executed on this basis as they attempt to obtain a buy or sell price close to or better than the VWAP during the time it takes to complete the buy or sell order. These orders, therefore, help to hugely reinforce the importance of the VWAP since it is the guiding principle on which these orders are based. Even Warren Buffet uses VWAP, as evidenced when he sold his entire position in Southwest Airlines over two days, holding 2.3 million shares. This highlights the key issues for any large institutional investor involving the price. If executed in a single order, an order to buy a large block of shares would almost certainly swamp the market, raising the price exponentially and, in addition, overwhelm the average volume traded in the day. It is this issue of putting the price up against their own buying or conversely seeing the price fall as a result of their own selling that leads to the parent and child order scenario where significant block orders are broken into a multitude of smaller orders, which are duly executed over days, weeks or months. It is this aspect of institutional order execution that makes the VWAP such a potent indicator. However, at Quantum Trading, we don’t just build a single indicator and leave it at that! We always take them to another level, and here we have done the same, bundling together a total of five indicators into one amazing value package so you can select your favorite from those on offer. The reason for this is we recognize the different ways the volume-weighted average price is used, which is why we offer a total of FIVE variants to choose from, and these are as follows: VWAP – Volume Weighted Average Price MVWAP – Moving Volume Weighted Average Price AVWAP – Anchored Volume Weighted Average Price TWAP – Time Weighted Average Price Interday Volume Weighted Average Price All five variants include the option to display upper and lower bands that act as envelopes above and below the VWAP based on standard deviation, which you can adjust and set yourself. These price envelopes become essential dynamic support and resistance levels, which can help predict the extremes of price action as it oscillates around the VWAP from the fastest to the slowest timeframes and everything in between. All five indicators are packaged into one powerful indicator, which we have named the Quantum VWAP Pro indicator for obvious reasons, and as you would expect, it works in all markets and instruments, whether stocks, futures, ETFs, forex or cryptocurrencies. Finally, as with all our indicators, we recommend you use it in multiple timeframes.
Pine Script® göstergesi
QuantumTradingSoftware tarafından
7
Unusual Market Volume DetectorIntroduction Price usually moves in lockstep with the volume trends i.e. price goes higher when there is buying and it goes down when there is selling in the market. But sometimes, the market behaves unusually i.e. Price and volume move in opposite directions. This indicator identifies precisely this divergent behavior in the market! This script analyses the volume trends by utilizing changes in On Balance Volume (OBV) for the instrument and compares it with the price trend to color the lower panel on your chart window. The color changes as the direction of the OBV trend changes from Up to Down or vice versa. If there is a divergence between the price trend and volume trend, the color will switch to Purple. Divergence in volume and price trends typically indicate a battle between supply and demand. This may coincide with a change in market direction as well. It is important to know which side won after this battle, as the market will follow that side. This tool will alert traders of unusual market volume behavior and when both price & volume trends are in sync. Features A Purple color in the lower panel indicates that the Volume and Price trends are diverging and are moving in the opposite direction A Green color in the lower panel indicates that the Volume is trending higher supporting bullish price action A Red color in the lower panel indicates that the Volume is trending lower supporting bearish price action How to use the Indicator while Trading? When the Volume trend matches the price action ( Trend ), you have confirmation of your trade bias. Therefore when you are taking Long trades, you would want to see a Green color in the lower panel and a Red color when you are going Short. When a Divergence is identified by the tool, as Purple color in the lower panel, Trader can take the following steps: Take profit or partially close the position if you are in a Trade as this divergence presents uncertainty Watch for which color comes up after divergence, that side of the market has a higher probability of prevailing. For example, a Red color indicates Selling in the market and vice versa. Divergence usually precedes a market direction change and therefore Trader can take this into account when planning Trade bias and position size. Please note a divergence does not always precede a reversal in the market and can be a temporary phenomenon with no effect on the price action. Basic Set-Up Add the Indicator to the chart You can change the default colors for Buying Volume, Selling Volume, and Divergence Use the “Regular Trading Hours” Session in the Chart Settings for the most effective analysis Please note : On-Balance Volume is a leading indicator but it doesn't provide specific information on exactly what happened or why. Also, a large spike in a single day may throw off the On Balance Volume for a while. Therefore we are focusing on its trend and comparing it with Price Trends for better effectiveness.
Pine Script® göstergesi
SnowflakeTrader tarafından
9