Visible — Indicators and Strategies

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.

Hide Active Candle [SteinG]Hide Active Candle An essential tool for disciplined traders seeking to avoid making hasty decisions based on active bars that have not yet closed. Have you ever found yourself eagerly anticipating an entry, only to be tempted by an active candle that starts to pull away? Or perhaps you've been caught in a trade where an active candle pushes against you, stirring unease and uncertainty. Fear not, for we have a solution! "Hide Active Candle" is a simple Pine Script indicator designed to ghost the active bar on your chart, reinforcing the importance of patiently waiting for its closure before making any trading decisions. By masking the active candle, this indicator serves as a constant reminder to exercise caution and to base your actions on solid, confirmed information. To make the most of this powerful tool, ensure that you are using a candlestick chart, as this script operates optimally within that framework. Follow these simple steps to get started: 1. Right-click on your chart and select "Settings..." 2. From the drop-down menu, choose "Symbol" under the "Chart Settings" section. 3. Disable every item in the list to fully utilize the capabilities of "Hide Active Candle." But wait, there's more! We understand that each trader has unique preferences and requirements. That's why we've included customizable settings within the script to tailor it to your specific needs. You have the option to adjust the following parameters: - Countdown seconds left : Specify the number of seconds before the bar closes when the current candle becomes visible. - Bull candle color : Select the color that represents bullish candles on your chart. - Bear candle color : Choose the color that indicates bearish candles. - Equal candle color : Define the color for Doji star candles. - Theme : Opt for a dark or light theme, as the active candle mask will be based on your chosen theme. - Custom hidden color : Personalize the mask color according to your preferences. By fine-tuning these settings, you can create a trading environment that perfectly suits your style and enhances your decision-making process.

VisibleChart █ OVERVIEW This library is a Pine programmer’s tool containing functions that return values calculated from the range of visible bars on the chart. This is now possible in Pine Script™ thanks to the recently-released chart.left_visible_bar_time and chart.right_visible_bar_time built-ins, which return the opening time of the leftmost and rightmost bars on the chart. These values update as traders scroll or zoom their charts, which gives way to a class of indicators that can dynamically recalculate and draw visuals on visible bars only, as users scroll or zoom their charts. We hope this library's functions help you make the most of the world of possibilities these new built-ins provide for Pine scripts. For an example of a script using this library, have a look at the Chart VWAP indicator. █ CONCEPTS Chart properties The new chart.left_visible_bar_time and chart.right_visible_bar_time variables return the opening time of the leftmost and rightmost bars on the chart. They are only two of many new built-ins in the `chart.*` namespace. See this blog post for more information, or look them up by typing "chart." in the Pine Script™ Reference Manual . Dynamic recalculation of scripts on visible bars Any script using chart.left_visible_bar_time or chart.right_visible_bar_time acquires a unique property, which triggers its recalculation when traders scroll or zoom their charts in such a way that the range of visible bars on the chart changes. This library's functions use the two recent built-ins to derive various values from the range of visible bars. Designing your scripts for dynamic recalculation For the library's functions to work correctly, they must be called on every bar. For reliable results, assign their results to global variables and then use the variables locally where needed — not the raw function calls. Some functions like `barIsVisible()` or `open()` will return a value starting on the leftmost visible bar. Others such as `high()` or `low()` will also return a value starting on the leftmost visible bar, but their correct value can only be known on the rightmost visible bar, after all visible bars have been analyzed by the script. You can plot values as the script executes on visible bars, but efficient code will, when possible, create resource-intensive labels, lines or tables only once in the global scope using var , and then use the setter functions to modify their properties on the last bar only. The example code included in this library uses this method. Keep in mind that when your script uses chart.left_visible_bar_time or chart.right_visible_bar_time , your script will recalculate on all bars each time the user scrolls or zooms their chart. To provide script users with the best experience you should strive to keep calculations to a minimum and use efficient code so that traders are not always waiting for your script to recalculate every time they scroll or zoom their chart. Another aspect to consider is the fact that the rightmost visible bar will not always be the last bar in the dataset. When script users scroll back in time, a large portion of the time series the script calculates on may be situated after the rightmost visible bar. We can never assume the rightmost visible bar is also the last bar of the time series. Use `barIsVisible()` to restrict calculations to visible bars, but also consider that your script can continue to execute past them. Look first. Then leap. █ FUNCTIONS The library contains the following functions: barIsVisible() Condition to determine if a given bar is within the users visible time range. Returns: (bool) True if the the calling bar is between the `chart.left_visible_bar_time` and the `chart.right_visible_bar_time`. high() Determines the value of the highest `high` in visible bars. Returns: (float) The maximum high value of visible chart bars. highBarIndex() Determines the `bar_index` of the highest `high` in visible bars. Returns: (int) The `bar_index` of the `high()`. highBarTime() Determines the bar time of the highest `high` in visible bars. Returns: (int) The `time` of the `high()`. low() Determines the value of the lowest `low` in visible bars. Returns: (float) The minimum low value of visible chart bars. lowBarIndex() Determines the `bar_index` of the lowest `low` in visible bars. Returns: (int) The `bar_index` of the `low()`. lowBarTime() Determines the bar time of the lowest `low` in visible bars. Returns: (int) The `time` of the `low()`. open() Determines the value of the opening price in the visible chart time range. Returns: (float) The `open` of the leftmost visible chart bar. close() Determines the value of the closing price in the visible chart time range. Returns: (float) The `close` of the rightmost visible chart bar. leftBarIndex() Determines the `bar_index` of the leftmost visible chart bar. Returns: (int) A `bar_index`. rightBarIndex() Determines the `bar_index` of the rightmost visible chart bar. Returns: (int) A `bar_index` bars() Determines the number of visible chart bars. Returns: (int) The number of bars. volume() Determines the sum of volume of all visible chart bars. Returns: (float) The cumulative sum of volume. ohlcv() Determines the open, high, low, close, and volume sum of the visible bar time range. Returns: ( ) A tuple of the OHLCV values for the visible chart bars. Example: open is chart left, high is the highest visible high, etc. chartYPct(pct) Determines a price level as a percentage of the visible bar price range, which depends on the chart's top/bottom margins in "Settings/Appearance". Parameters: pct : (series float) Percentage of the visible price range (50 is 50%). Negative values are allowed. Returns: (float) A price level equal to the `pct` of the price range between the high and low of visible chart bars. Example: 50 is halfway between the visible high and low. chartXTimePct(pct) Determines a time as a percentage of the visible bar time range. Parameters: pct : (series float) Percentage of the visible time range (50 is 50%). Negative values are allowed. Returns: (float) A time in UNIX format equal to the `pct` of the time range from the `chart.left_visible_bar_time` to the `chart.right_visible_bar_time`. Example: 50 is halfway from the leftmost visible bar to the rightmost. chartXIndexPct(pct) Determines a `bar_index` as a percentage of the visible bar time range. Parameters: pct : (series float) Percentage of the visible time range (50 is 50%). Negative values are allowed. Returns: (float) A time in UNIX format equal to the `pct` of the time range from the `chart.left_visible_bar_time` to the `chart.right_visible_bar_time`. Example: 50 is halfway from the leftmost visible bar to the rightmost. whenVisible(src, whenCond, length) Creates an array containing the `length` last `src` values where `whenCond` is true for visible chart bars. Parameters: src : (series int/float) The source of the values to be included. whenCond : (series bool) The condition determining which values are included. Optional. The default is `true`. length : (simple int) The number of last values to return. Optional. The default is all values. Returns: (float ) The array ID of the accumulated `src` values. avg(src) Gathers values of the source over visible chart bars and averages them. Parameters: src : (series int/float) The source of the values to be averaged. Optional. Default is `close`. Returns: (float) A cumulative average of values for the visible time range. median(src) Calculates the median of a source over visible chart bars. Parameters: src : (series int/float) The source of the values. Optional. Default is `close`. Returns: (float) The median of the `src` for the visible time range. vVwap(src) Calculates a volume-weighted average for visible chart bars. Parameters: src : (series int/float) Source used for the VWAP calculation. Optional. Default is `hlc3`. Returns: (float) The VWAP for the visible time range.

Market Profile Visible Range Sup TV, 2 important points . 1) surprisingly, it's the first MP Visible Range script on TV; 2) This one doesn't use any bagging/binning*, instead each row represents the time spent on the actual minimal price steps (aka ticks). The script will be further extended with usual market profile related functionally in future updates. At this point we have: - Profile itself (each row represents how many bars touch the given price); - Mode of the profile (called POC)**; * Still it will be introduced in future when I will find / design the proper aggregating technique. It is vital for processing very wide price ranges (for example, 500 days on ES futures). ** The script correctly calculates POC by finding all the modes in the data & choosing the closest one to data's midrange. For this kind of technical instrument finally it was more convenient to use Pine Script 5 (btw it's my first Pine 5). Basically this script is a side-effect of another R&D I'm doing, the stuff is useful tho so let's go. By choosing length we both specify the amount of data to be processed & the profile's location screen-wise. It's pretty cool and & useful, on my screen it's always almost touching the left side and still always visible. The code is heavily commented in order to be understood fast, nothing fantastic, just a lil patience required this time. Rationale Market & volume profiles are well known concepts, lotta info available, the most important point of all that is that MP is just another way of visualizing data that lets you notice things you don't usually notice on sequential charts. From my side I can only add that it's better to use your own brain for thinking and reconsidering using volume profile in all the cases, especially on decentralized markets (unless you're aggregating ALL the volume data from everywhere, including options, OTC etc). Here is it, for you

Volume Profile and Volume Indicator by DGT Volume Profile (also known as Price by Volume) is an charting study that displays trading activity over a specified time period at specific price levels. It is plotted as a horizontal histogram on the finacial isntrumnet's chart that highlights the trader's interest at specific price levels. The histogram is used by traders to predict areas of support and resistance. Price levels where the traded volume is high could be assumed as support and resistance levels. Price may experience difficulty moving above or below areas with large bars. Usually there is a great deal of activity on both the buy and sell side and the market stays at that price level for a great deal of time It is advised to use volume profile in conjunction with other forms of technical analysis to maximize the odds of success Light version of Volume Profile is added to Price Action - Support & Resistance by DGT