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Delta Volume Channels [LucF]█  OVERVIEW This indicator displays on-chart visuals aimed at making the most of delta ​volume information. It can color bars and display two channels: one for delta ​volume, another calculated from the price levels of bars where delta ​volume divergences occur. Markers and alerts can also be configured using key conditions, and filtered in many different ways. The indicator caters to traders who prefer chart visuals over raw values. It will work on historical bars and in real time, using intrabar analysis to calculate delta ​volume in both conditions. █  CONCEPTS Delta Volume ​The ​volume delta concept divides a bar's ​volume in "up" and "down" ​volumes. The delta is calculated by subtracting down ​volume from up ​volume. Many calculation techniques exist to isolate up and down ​volume within a bar. The simplest techniques use the polarity of interbar price changes to assign their ​volume to up or down slots, e.g., On Balance Volume or the Klinger Oscillator . Others such as Chaikin Money Flow use assumptions based on a bar's OHLC values. The most precise calculation method uses tick data and assigns the ​volume of each tick to the up or down slot depending on whether the transaction occurs at the bid or ask price. While this technique is ideal, it requires huge amounts of data on historical bars, which usually limits the historical depth of charts and the number of symbols for which tick data is available. This indicator uses intrabar analysis to achieve a compromise between the simplest and most precise methods of calculating ​volume delta. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate ​volume delta on historical bars on our charts. TradingView's Volume Profile built-in indicators use it, as do the CVD - Cumulative ​Volume Delta Candles and CVD - Cumulative Volume Delta (Chart) indicators published from the TradingView account . My Volume Delta Columns Pro indicator also uses intrabar analysis. Other ​volume delta indicators such as my Realtime 5D Profile use realtime chart updates to achieve more precise ​volume delta calculations. Indicators of that type cannot be used on historical bars however; they only work in real time. This is the logic I use to assign intrabar ​volume to up or down slots:  • If the intrabar's open and close values are different, their relative position is used.  • If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.  • As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used. Once all intrabars making up a chart bar have been analyzed and the up or down property of each intrabar's ​volume determined, the up volumes are added and the down volumes subtracted. The resulting value is ​volume delta for that chart bar, which can be used as an estimate of the buying/selling pressure on an instrument. Delta ​Volume Percent (DV%) This value is the proportion that delta ​volume represents of the total intrabar ​volume in the chart bar. Note that on some symbols/timeframes, the total intrabar ​volume may differ from the chart's ​volume for a bar, but that will not affect our calculations since we use the total intrabar ​volume. Delta ​Volume Channel The ​​DV channel is the space between two moving averages: the reference line and a DV%-weighted version of that reference. The reference line is a moving average of a type, source and length which you select. The DV%-weighted line uses the same settings, but it averages the DV%-weighted price source. The weight applied to the source of the reference line is calculated from two values, which are multiplied: DV% and the relative size of the bar's ​volume in relation to previous bars. The effect of this is that DV% values on bars with higher total ​volume will carry greater weight than those with lesser ​volume. The ​DV channel can be in one of four states, each having its corresponding color:  • Bull (teal): The DV%-weighted line is above the reference line.  • Strong bull (lime): The bull condition is fulfilled and the bar's close is above the reference line and both the reference and the DV%-weighted lines are rising.  • Bear (maroon): The DV%-weighted line is below the reference line.  • Strong bear (pink): The bear condition is fulfilled and the bar's close is below the reference line and both the reference and the DV%-weighted lines are falling. Divergences In the context of this indicator, a divergence is any bar where the slope of the reference line does not match that of the DV%-weighted line. No directional bias is assigned to divergences when they occur. Divergence Channel The divergence channel is the space between two levels (by default, the bar's low and high ) saved when divergences occur. When price has breached a channel and a new divergence occurs, a new channel is created. Until that new channel is breached, bars where additional divergences occur will expand the channel's levels if the bar's price points are outside the channel. Prices breaches of the divergence channel will change its state. Divergence channels can be in one of five different states:  • Bull (teal): Price has breached the channel to the upside.  • Strong bull (lime): The bull condition is fulfilled and the ​DV channel is in the strong bull state.  • Bear (maroon): Price has breached the channel to the downside.  • Strong bear (pink): The bear condition is fulfilled and the ​DV channel is in the strong bear state.  • Neutral (gray): The channel has not been breached. █  HOW TO USE THE INDICATOR Load the indicator on an active chart (see here if you don't know how). The default configuration displays:  • The ​DV channel, without the reference or DV%-weighted lines.  • The Divergence channel, without its level lines.  • Bar colors using the state of the ​DV channel. The default settings use an Arnaud-Legoux moving average on the close and a length of 20 bars. The DV%-weighted version of it uses a combination of DV% and relative ​volume to calculate the ultimate weight applied to the reference. The DV%-weighted line is capped to 5 standard deviations of the reference. The lower timeframe used to access intrabars automatically adjusts to the chart's timeframe and achieves optimal balance between the number of intrabars inspected in each chart bar, and the number of chart bars covered by the script's calculations. The Divergence channel's levels are determined using the high and low of the bars where divergences occur. Breaches of the channel require a bar's low to move above the top of the channel, and the bar's high to move below the channel's bottom. No markers appear on the chart; if you want to create alerts from this script, you will need first to define the conditions that will trigger the markers, then create the alert, which will trigger on those same conditions. To learn more about how to use this indicator, you must understand the concepts it uses and the information it displays, which requires reading this description. There are no videos to explain it. █  FEATURES The script's inputs are divided in four sections: "DV channel", "Divergence channel", "Other Visuals" and "Marker/Alert Conditions". The first setting is the selection method used to determine the intrabar precision, i.e., how many lower timeframe bars (intrabars) are examined in each chart bar. The more intrabars you analyze, the more precise the calculation of DV% results will be, but the less chart coverage can be covered by the script's calculations. DV Channel Here, you control the visibility and colors of the reference line, its weighted version, and the DV channel between them. You also specify what type of moving average you want to use as a reference line, its source and length. This acts as the ​DV channel's baseline. The DV%-weighted line is also a moving average of the same type and length as the reference line, except that it will be calculated from the DV%-weighted source used in the reference line. By default, the DV%-weighted line is capped to five standard deviations of the reference line. You can change that value here. This section is also where you can disable the relative ​volume component of the weight. Divergence Channel This is where you control the appearance of the divergence channel and the key price values used in determining the channel's levels and breaching conditions. These choices have an impact on the behavior of the channel. More generous level prices like the default low and high selection will produce more conservative channels, as will the default choice for breach prices. In this section, you can also enable a mode where an attempt is made to estimate the channel's bias before price breaches the channel. When it is enabled, successive increases/decreases of the channel's top and bottom levels are counted as new divergences occur. When one count is greater than the other, a bull/bear bias is inferred from it. Other Visuals You specify here:  • The method used to color chart bars, if you choose to do so.  • The display of a mark appearing above or below bars when a divergence occurs.  • If you want raw values to appear in tooltips when you hover above chart bars. The default setting does not display them, which makes the script faster.  • If you want to display an information box which by default appears in the lower left of the chart.   It shows which lower timeframe is used for intrabars, and the average number of intrabars per chart bar. Marker/Alert Conditions Here, you specify the conditions that will trigger up or down markers. The trigger conditions can include a combination of state transitions of the ​DV and the divergence channels. The triggering conditions can be filtered using a variety of conditions. Configuring the marker conditions is necessary before creating an alert from this script, as the alert will use the marker conditions to trigger. Markers only appear on bar closes, so they will not repaint. Keep in mind, when looking at markers on historical bars, that they are positioned on the bar when it closes — NOT when it opens. Raw values The raw values calculated by this script can be inspected using a tooltip and the Data Window. The tooltip is visible when you hover over the top of chart bars. It will display on the last 500 bars of the chart, and shows the values of ​DV, DV%, the combined weight, and the intermediary values used to calculate them. █  INTERPRETATION The aim of the ​DV channel is to provide a visual representation of the buying/selling pressure calculated using delta ​volume. The simplest characteristic of the channel is its bull/bear state. One can then distinguish between its bull and strong bull states, as transitions from strong bull to bull states will generally happen when buyers are losing steam. While one should not infer a reversal from such transitions, they can be a good place to tighten stops. Only time will tell if a reversal will occur. One or more divergences will often occur before reversals. The nature of the divergence channel's design makes it particularly adept at identifying consolidation areas if its settings are kept on the conservative side. A gray divergence channel should usually be considered a no-trade zone. More adventurous traders can use the ​DV channel to orient their trade entries if they accept the risk of trading in a neutral divergence channel, which by definition will not have been breached by price. If your charts are already busy with other stuff you want to hold on to, you could consider using only the chart bar coloring component of this indicator: At its simplest, one way to use this indicator would be to look for overlaps of the strong bull/bear colors in both the ​DV channel and a divergence channel, as these identify points where price is breaching the divergence channel when buy/sell pressure is consistent with the direction of the breach. I have highlighted all those points in the chart below. Not all of them would have produced profitable trades, but nothing is perfect in the markets. Also, keep in mind that the circles identify the visual you would be looking for — not the trade's entry level. █  LIMITATIONS  • The script will not work on symbols where no ​volume is available. An error will appear when that is the case.  • Because a maximum of 100K intrabars can be analyzed by a script, a compromise is necessary between the number of intrabars analyzed per chart bar   and chart coverage. The more intrabars you analyze per chart bar, the less coverage you will obtain.   The setting of the "Intrabar precision" field in the "DV channel" section of the script's inputs   is where you control how the lower timeframe is calculated from the chart's timeframe. █  NOTES Volume Quality If you use ​volume, it's important to understand its nature and quality, as it varies with sectors and instruments. My Volume X-ray indicator is one way you can appraise the quality of an instrument's intraday ​volume. For Pine Script™ Coders  • This script uses the new overload of the fill() function which now makes it possible to do vertical gradients in Pine. I use it for both channels displayed by this script.  • I use the new arguments for plot() 's `display` parameter to control where the script plots some of its values,   namely those I only want to appear in the script's status line and in the Data Window.  • I wrote my script using the revised recommendations in the Style Guide from the Pine v5 User Manual. █  THANKS To PineCoders . I have used their lower_tf library in this script, to manage the calculation of the LTF and intrabar stats, and their Time library to convert a timeframe in seconds to a printable form for its display in the Information box. To TradingView's Pine Script™ team. Their innovations and improvements, big and small, constantly expand the boundaries of the language. What this script does would not have been possible just a few months back. And finally, thanks to all the users of my scripts who take the time to comment on my publications and suggest improvements. I do not reply to all but I do read your comments and do my best to implement your suggestions with the limited time that I have.
Indicador Pine Script®
por LucF
51
Bitcoin Stalemate IndicatorThe Bitcoin Stalemate Indicator examines periods in the market defined by a combination of high volume and low price volatility. These periods are a bit like a tug-of-war with both sides applying a lot of force but the rope moving very little. Periods of high volume and low volatility suggest both sides of the trade are stuck in a stalemate. This indicator may be useful in identifying psychologically important price levels. The mechanics of the indicator are fairly simple: the indicator takes the volume and divides it by the candle’s size over it’s close for that same period. volume / ((high - low) / close) Candles that move very little but with high volume will produce higher reads and vice versa. Finally a smoothing average is applied to clean up the noise. Volume profiles from the top 6 exchanges are averaged in order to avoid a single exchange’s popularity acting as an overriding factor. Single exchanges can be isolated but are of lesser use. Heat map functionality is only active when all exchanges are selected.
Indicador Pine Script®
por DamonAndTheSea
1
Market Profile Fixed ViewSome instruments does not provide any volume information, therefore, as a fixed volume profile user, I needed a fixed market profile indicator to use the same principles, regardless of whether the volumes are available or not. This script draws a market profile histogram corresponding to price variations within a specific duration, you only need to specify Start and End date/time values to see the histogram on your chart. Details Two lines corresponding to highest/lowest prices are displayed around the histogram The redline corresponds to the POC (point of control) Options Start calculation End calculation Bars number (histogram resolution, currently locked to a max value of 50 bars) Display side/Width (allows to modify size of bars, to the left or to the right) Bars/Borders/POC Color customization Notes This script will probably be updated (to add VAH/VAL zones, and maybe other options). However, some common market profile attributes have not been implemented yet since I don't really use them)
Indicador Pine Script®
por noop-noop
70
Bar Balance [LucF]Bar Balance extracts the number of up, down and neutral intrabars contained in each chart bar, revealing information on the strength of price movement. It can display stacked columns representing raw up/down/neutral intrabar counts, or an up/down balance line which can be calculated and visualized in many different ways. WARNING: This is an analysis tool that works on historical bars only. It does not show any realtime information, and thus cannot be used to issue alerts or for automated trading. When realtime bars elapse, the indicator will require a browser refresh, a change to its Inputs or to the chart's timeframe/symbol to recalculate and display information on those elapsed bars. Once a trader understands this, the indicator can be used advantageously to make discretionary trading decisions. Traders used to work with my  Delta Volume Columns Pro  will feel right at home in this indicator's Inputs . It has lots of options, allowing it to be used in many different ways. If you value the bar balance information this indicator mines, I hope you will find the time required to master the use of Bar Balance well worth the investment. █  OVERVIEW The indicator has two modes: Columns and Line . Columns • In Columns mode you can display stacked Up/Down/Neutral columns. • The "Up" section represents the count of intrabars where `close > open`, "Down" where `close < open` and "Neutral" where `close = open`. • The Up section always appears above the centerline, the Down section below. The Neutral section overlaps the centerline, split halfway above and below it.  The Up and Down sections start where the Neutral section ends, when there is one. • The Up and Down sections can be colored independently using 7 different methods. • The signal line plotted in Line mode can also be displayed in Columns mode. Line • Displays a single balance line using a zero centerline. • A variable number of independent methods can be used to calculate the line (6), determine its color (5), and color the fill (5).  You can thus evaluate the state of 3 different components with this single line. • A "Divergence Levels" feature will use the line to automatically draw expanding levels on divergence events. Features available in both modes • The color of all components can be selected from 15 base colors, with 16 gradient levels used for each base color in the indicator's gradients. • A zero line can show a 6-state aggregate value of the three main volume balance modes. • The background can be colored using any of 5 different methods. • Chart bars can be colored using 5 different methods. • Divergence and large neutral count ratio events can be shown in either Columns or Line mode, calculated in one of 4 different methods. • Markers on 6 different conditions can be displayed. █  CONCEPTS Intrabar inspection Intrabar inspection means the indicator looks at lower timeframe bars ( intrabars ) making up a given chart bar to gather its information. If your chart is on a 1-hour timeframe and the intrabar resolution determined by the indicator is 5 minutes, then 12 intrabars will be analyzed for each chart bar and the count of up/down/neutral intrabars among those will be tallied. Bar Balances and calculation methods The indicator uses a variety of methods to evaluate bar balance and to derive other calculations from them: 1. Balance on Bar : Uses the relative importance of instant Up and Down counts on the bar. 2. Balance Averages : Uses the difference between the EMAs of Up and Down counts. 3. Balance Momentum : Starts by calculating, separately for both Up and Down counts, the difference between the same EMAs used in Balance Averages and an SMA of double the period used for the EMAs. These differences are then aggregated and finally, a bounded momentum of that aggregate is calculated using RSI. 4. Markers Bias : It sums the bull/bear occurrences of the four previous markers over a user-defined period (the default is 14). 5. Combined Balances : This is the aggregate of the instant bull/bear bias of the three main bar balances. 6. Dual Up/Down Averages : This is a display mode showing the EMA calculated for each of the Up and Down counts. Interpretation of neutral intrabars What do neutral intrabars mean? When price does not change during a bar, it can be because there is simply no interest in the market, or because of a perfect balance between buyers and sellers. The latter being more improbable, Bar Balance assumes that neutral bars reveal a lack of interest, which entails uncertainty. That is the reason why the option is provided to interpret ratios of neutral intrabars greater than 50% as divergences. It is also the rationale behind the option to dampen signal lines on the inverse ratio of neutral intrabars, so that zero intrabars do not affect the signal, and progressively larger proportions of neutral intrabars will reduce the signal's amplitude, as the balance calcs using the up/down counts lose significance. The impact of the dampening will vary with markets. Weaker markets such as cryptos will often contain greater numbers of neutral intrabars, so dampening the Line in that sector will have a greater impact than in more liquid markets. █  FEATURES 1 — Columns • While the size of the Up/Down columns always represents their respective importance on the bar, their coloring mode is independent. The default setup uses a standard coloring mode where the Up/Down columns over/under the zero line are always in the bull/bear color with a higher intensity for the winning side. Six other coloring modes allow you to pack more information in the columns. When choosing to color the top columns using a bull/bear gradient on Balance Averages, for example, you will end up with bull/bear colored tops. In order for the color of the bottom columns to continue to show the instant bar balance, you can then choose the "Up/Down Ratio on Bar — Dual Solid Colors" coloring mode to make those bars the color of the winning side for that bar. • Line mode shows only the line, but Columns mode allows displaying the line along with it. If the scale of the line is different than that of the scale of the columns, the line will often appear flat. Traders may find even a flat line useful as its bull/bear colors will be easily distinguishable. 2 — Line • The default setup for Line mode uses a calculation on "Balance Momentum", with a fill on the longer-term "Balance Averages" and a line color based on the "Markers Bias". With the background set on "Line vs Divergence Levels" and the zero line on the hard-coded "Combined Bar Balances", you have access to five distinct sources of information at a glance, to which you can add divergences, divergences levels and chart bar coloring. This provides powerful potential in displaying bar balance information. • When no columns are displayed, Line mode can show the full scale of whichever line you choose to calculate because the columns' scale no longer interferes with the line's scale. • Note that when "Balance on Bar" is selected, the Neutral count is also displayed as a ratio of the balance line. This is the only instance where the Neutral count is displayed in Line mode. • The "Dual Up/Down Averages" is an exception as it displays two lines: one average for the Up counts and another for the Down counts. This mode will be most useful when Columns are also displayed, as it provides a reference for the top and bottom columns. 3 — Zero Line The zero line can be colored using two methods, both based on the Combined Balances, i.e., the aggregate of the instant bull/bear bias of the three main bar balances. • In "Six-state Dual Color Gradient" mode, a dot appears on every bar. Its color reflects the bull/bear state of the Combined Balances, and the dot's brightness reflects the tally of balance biases. • In "Dual Solid Colors (All Bull/All Bear Only)" a dot only appears when all three balances are either bullish or bearish. The resulting pattern is identical to that of Marker 1. 4 — Divergences • Divergences are displayed as a small circle at the top of the scale. Four different types of divergence events can be detected. Divergences occur whenever the bull/bear bias of the method used diverges with the bar's price direction. • An option allows you to include in divergence events instances where the count of neutral intrabars exceeds 50% of the total intrabar count. • The divergence levels are dynamic levels that automatically build from the line's values on divergence events. On consecutive divergences, the levels will expand, creating a channel. This implementation of the divergence levels corresponds to my view that divergences indicate anomalies, hesitations, points of uncertainty if you will. It excludes any association of a pre-determined bullish/bearish bias to divergences. Accordingly, the levels merely take note of divergence events and mark those points in time with levels. Traders then have a reference point from which they can evaluate further movement. The bull/bear/neutral colors used to plot the levels are also congruent with this view in that they are determined by price's position relative to the levels, which is how I think divergences can be put to the most effective use. 5 — Background • The background can show a bull/bear gradient on four different calculations. You can adjust its brightness to make its visual importance proportional to how you use it in your analysis. 6 — Chart bars • Chart bars can be colored using five different methods. • You have the option of emptying the body of bars where volume does not increase, as does my TLD indicator, the idea behind this being that movement on bars where volume does not increase is less relevant. 7 — Intrabar Resolution You can choose between three modes. Two of them are automatic and one is manual:   a) Fast, Longer history, Auto-Steps (~12 intrabars) : Optimized for speed and deeper history. Uses an average minimum of 12 intrabars.   b) More Precise, Shorter History Auto-Steps (~24 intrabars) : Uses finer intrabar resolution. It is slower and provides less history. Uses an average minimum of 24 intrabars.   c) Fixed : Uses the fixed resolution of your choice. Auto-Steps calculations vary for 24/7 and conventional markets in order to achieve the proper target of minimum intrabars. You can choose to view the intrabar resolution currently used to calculate delta volume. It is the default. The proper selection of the intrabar resolution is important. It must achieve maximal granularity to produce precise results while not unduly slowing down calculations, or worse, causing runtime errors. 8 — Markers Six markers are available: 1. Combined Balances Agreement : All three Bar Balances are either bullish or bearish. 2. Up or Down % Agrees With Bar : An up marker will appear when the percentage of up intrabars in an up chart bar is greater than the specified percentage. Conditions mirror to down bars. 3. Divergence confirmations By Price : One of the four types of balance calculations can be used to detect divergences with price. Confirmations occur when the bar following the divergence confirms the balance bias. Note that the divergence events used here do not include neutral intrabar events. 4. Balance Transitions : Bull/bear transitions of the selected balance. 5. Markers Bias Transitions : Bull/bear transitions of the Markers Bias. 6. Divergence Confirmations By Line : Marks points where the line first breaches a divergence level. Markers appear when the condition is detected, without delay. Since nothing is plotted in realtime, markers do not appear on the realtime bar. 9 — Settings • Two modes can be selected to dampen the line on the ratio of neutral intrabars. • A distinct weight can be attributed to the count of the latter half of intrabars, on the assumption that later intrabars may be more important in determining the outcome of chart bars. • Allows control over the periods of the different moving averages used in calculations. • The default periods used for the various calculations define the following hierarchy from slow to fast:   Balance Averages: 50,   Balance Momentum: 20,   Dual Up/Down Averages: 20,   Marker Bias: 10. █  LIMITATIONS • This script uses a special characteristic of the `security()` function allowing the inspection of intrabars—which is not officially supported by TradingView. • The method used does not work on the realtime bar—only on historical bars. • The indicator only works on some chart resolutions: 3, 5, 10, 15 and 30 minutes, 1, 2, 4, 6, and 12 hours, 1 day, 1 week and 1 month. The script’s code can be modified to run on other resolutions, but chart resolutions must be divisible by the lower resolution used for intrabars and the stepping mechanism could require adaptation. • When using the "Line vs Divergence Levels — Dual Color Gradient" color mode to fill the line, background or chart bars, keep in mind that a line calculation mode must be defined for it to work, as it determines gradients on the movement of the line relative to divergence levels. If the line is hidden, it will not work. • When the difference between the chart’s resolution and the intrabar resolution is too great, runtime errors will occur. The Auto-Steps selection mechanisms should avoid this. • Alerts do not work reliably when `security()` is used at intrabar resolutions. Accordingly, no alerts are configured in the indicator. • The color model used in the indicator provides for fancy visuals that come at a price; when you change values in Inputs , it can take 20 seconds for the changes to materialize. Luckily, once your color setup is complete, the color model does not have a large performance impact, as in normal operation the `security()` calls will become the most important factor in determining response time. Also, once in a while a runtime error will occur when you change inputs. Just making another change will usually bring the indicator back up. █  RAMBLINGS Is this thing useful? I'll let you decide. Bar Balance acts somewhat like an X-Ray on bars. The intrabars it analyzes are no secret; one can simply change the chart's resolution to see the same intrabars the indicator uses. What the indicator brings to traders is the precise count of up/down/neutral intrabars and, more importantly, the calculations it derives from them to present the information in a way that can make it easier to use in trading decisions. How reliable is Bar Balance information? By the same token that an up bar does not guarantee that more up bars will follow, future price movements cannot be inferred from the mere count of up/down/neutral intrabars. Price movement during any chart bar for which, let's say, 12 intrabars are analyzed, could be due to only one of those intrabars. One can thus easily see how only relying on bar balance information could be very misleading. The rationale behind Bar Balance is that when the information mined for multiple chart bars is aggregated, it can provide insight into the history behind chart bars, and thus some bias as to the strength of movements. An up chart bar where 11/12 intrabars are also up is assumed to be stronger than the same up bar where only 2/12 intrabars are up. This logic is not bulletproof, and sometimes Bar Balance will stray. Also, keep in mind that balance lines do not represent price momentum as RSI would. Bar Balance calculations have no idea where price is. Their perspective, like that of any historian, is very limited, constrained that it is to the narrow universe of up/down/neutral intrabar counts. You will thus see instances where price is moving up while Balance Momentum, for example, is moving down. When Bar Balance performs as intended, this indicates that the rally is weakening, which does necessarily imply that price will reverse. Occasionally, price will merrily continue to advance on weakening strength. Divergences Most of the divergence detection methods used here rely on a difference between the bias of a calculation involving a multi-bar average and a given bar's price direction. When using "Bar Balance on Bar" however, only the bar's balance and price movement are used. This is the default mode. As usual, divergences are points of interest because they reveal imbalances, which may or may not become turning points. I do not share the overwhelming enthusiasm traders have for the purported ability of bullish/bearish divergences to indicate imminent reversals. Superfluity In "The Bed of Procrustes", Nassim Nicholas Taleb writes: To bankrupt a fool, give him information . Bar Balance can display lots of information. While learning to use a new indicator inevitably requires an adaptation period where we put it through its paces and try out all its options, once you have become used to Bar Balance and decide to adopt it, rigorously eliminate the components you don't use and configure the remaining ones so their visual prominence reflects their relative importance in your analysis. I tried to provide flexible options for traders to control this indicator's visuals for that exact reason—not for window dressing. █  NOTES For traders • To avoid misleading traders who don't read script descriptions, the indicator shows nothing in the realtime bar. • The Data Window shows key values for the indicator. • All gradients used in this indicator determine their brightness intensities using advances/declines in the signal—not their relative position in a fixed scale. • Note that because of the way gradients are optimized internally, changing their brightness will sometimes require bringing down the value a few steps before you see an impact. • Because this indicator does not use volume, it will work on all markets. For coders • For those interested in gradients, this script uses an advanced version of the Advance/Decline gradient function from the PineCoders Color Gradient (16 colors) Framework . It allows more precise control over the range, steps and min/max values of the gradients. • I use the PineCoders Coding Conventions for Pine to write my scripts. • I used functions modified from the PineCoders MTF Selection Framework for the selection of timeframes. █  THANKS TO: — alexgrover who helped me think through the dampening method used to attenuate signal lines on high ratios of neutral intrabars. — A guy called Kuan who commented on a Backtest Rookies presentation of their Volume Profile indicator . The technique I use to inspect intrabars is derived from Kuan's code. — theheirophant , my partner in the exploration of the sometimes weird abysses of `security()`’s behavior at intrabar resolutions. — midtownsk8rguy , my brilliant companion in mining the depths of Pine graphics. He is also the co-author of the PineCoders Color Gradient Frameworks .
Indicador Pine Script®
por LucF
29
Trading Blueprint v7 Pro — VWAP-CVD, cPOC Trend MomentumTBv7 Pro is the advanced release of the Trading Blueprint framework — engineered for institutional-style intraday analysis that fuses VWAP location, CVD orderflow, composite profile bias, and momentum curvature into one cohesive system. Core Framework VWAP Structure → Adaptive mean anchored to session VWAP with ±1σ / ±2σ deviation envelopes for dynamic equilibrium detection. vPOC per bar by ruckard () Anchored Volume Profile by DGT () CVD Orderflow Divergence → Smoothed delta histogram with fractal pivots identifying hidden absorption and exhaustion (patterns (Bull / Bear Div). Cumulative Volume Delta by AustrianTradingMachine ) cPOC Integration (2-Day Composite) by poopsnag (me :)→ Confirms true acceptance or rejection zones across sessions for precision bias alignment. TMI (Trend Momentum Indicator by TradingRiot()) → Quantifies slope + mean crossover strength, providing actionable momentum confirmation (bullish / bearish support / divergence). Bias Dashboard → Displays VWAP bias, numerical score, and dynamic color feedback for at-a-glance trade orientation. Usage Context Designed for professionals trading 15 m execution inside 1 h / 4 h context. Ideal for VWAP-cPOC location setups, reversion / continuation scalps, and orderflow confirmation using cumulative delta behavior. 🔧 Modules such as RSI / AO are pre-wired and easily activated for full Trading Blueprint confluence mapping.
Indicador Pine Script®
por poopsnag
SRD SRD v11 - Multi-Timeframe Volume Profile (POC, VAH, VAL) Key Features Dual Timeframe Analysis: 📈 Main Analysis (Daily): Calculates and displays the most significant levels based on a user-defined period of daily bars. This is ideal for identifying intraday and short-term trading opportunities. 📊 Strategic Analysis (Weekly): Plots key levels from a weekly perspective, giving you a broader, long-term view of market sentiment and structure. This can be toggled on or off. Volume Profile Core Levels: The indicator automatically calculates and visualizes the three most important levels derived from volume analysis for both timeframes: 🎯 POC (Point of Control): The price level with the highest traded volume for the specified period. It acts as a powerful magnet for price and a key reference for market equilibrium. 🔴 VAH (Value Area High): The highest price level within the "Value Area" (where ~70% of the volume was traded). It often acts as a significant resistance zone. 🟢 VAL (Value Area Low): The lowest price level within the Value Area. It often serves as a strong support zone. 🟠 24-Hour High: An optional feature that plots the highest price reached in the last 24 hours, providing a crucial reference point for breakout and reversal traders. Dynamic and Non-Repainting: The levels are calculated based on historical confirmed bars and update automatically as new periods (daily or weekly) close. The lines extend to the right, remaining relevant until a new calculation period begins. Integrated Alert System: Never miss a key price interaction. The indicator includes a comprehensive alert system for: Breakouts: Triggers when the price crosses above or below the POC, VAH, or VAL. Touches: Triggers when the price touches one of these key levels without breaking through it (within a small tolerance). Unified Alert: A single alert that notifies you of any of the above conditions. Customization The SRD v11 is fully customizable to fit your trading style. You can adjust: Timeframes: Change the base timeframes for both the main (default Daily) and strategic (default Weekly) analysis. Analysis Periods: Define the number of bars (days or weeks) to include in the Volume Profile calculation. Visuals: Customize the color, width, and style (solid, dashed, dotted) of every line and label for clear and intuitive visualization. Toggle Elements: Easily show or hide the strategic (weekly) analysis and the 24-hour high line. How to Use It > Identify Key Zones: Use the VAH (resistance) and VAL (support) lines to identify potential entry and exit zones. The area between VAH and VAL is the "Value Area," where the market has found acceptance. Monitor the POC: The Point of Control is the ultimate level of equilibrium. Watch for price reactions around the POC. A sustained break above or below can signal a new trend. Combine Timeframes: Use the strategic (weekly) levels as major, long-term points of interest and the main (daily) levels for your day-to-day trading setup. Confluence between levels from different timeframes can indicate extremely strong support or resistance. Set Alerts: Configure alerts for breakouts or touches to be notified of critical market movements in real-time, even when you are away from the charts.
Indicador Pine Script®
por brunomachado788
PheeTrades - Value Area Levels (VAH / VAL / POC Visualizer)This script helps traders quickly visualize key Volume Profile–style levels such as Value Area High (VAH), Value Area Low (VAL), and Point of Control (POC) using recent price and volume data. While TradingView’s built-in Volume Profile tool is great for manual analysis, this indicator automatically calculates and plots approximate value zones directly on your chart — ideal for traders who want to identify high-probability support and resistance areas without drawing a fixed range every time. Features: Calculates short-term VAH, VAL, and POC based on a user-defined lookback period. Plots color-coded levels for quick visual reference. Helps identify “fair value” zones where most trading activity occurred. Useful for detecting breakout or mean-reversion opportunities around value extremes. How to use: Apply the script to any chart and set your preferred lookback period. VAH (red line): potential upper resistance or overbought zone. VAL (green line): potential lower support or accumulation zone. POC (orange line): price level with the highest traded activity — often a magnet for price. Note: This is a simplified Value Area model meant for educational and analytical use. It does not replace TradingView’s official Volume Profile or broker-level volume distribution data.
Indicador Pine Script®
por VegasAgent
Anchored Grids ft. VolumeINTRO The 'Volume Profile' is a great tool, isn’t it? It shows us where volume has accumulated on the chart and helps guide trading decisions. The only catch is that we can’t really choose the levels—it’s all based on where volume happens to cluster. But what if we reversed the logic and measured the volume at the levels we define? That’s exactly what this script does, giving you a fresh way to spot support and resistance :) OVERVIEW 'Anchored Grids ft. Volume' is a sophisticated technical analysis tool that combines price grid analysis with volume accumulation metrics. This indicator dynamically calculates and displays custom support and resistance levels based on a user-defined timeframe, while simultaneously tracking and visualizing volume accumulation at each specific price level. Unlike traditional volume profile indicators that use complex statistical clustering, this tool provides straightforward volume measurement at predetermined technical levels. It answers a critical question: "How much trading activity occurred near the key price levels I care about?". HOW DOES THIS INDICATOR WORK? This indicator builds a customizable grid system anchored to the opening price of any user-selected timeframe (hourly, daily, weekly, etc.). From that anchor point, it continuously tracks the highest high and lowest low, then calculates equidistant grid levels within that range. Two calculation modes are available—Arithmetic and Geometric—allowing flexibility in how the levels are distributed. Once the grid is established, a volume accumulation engine comes into play. For each price bar, the script checks whether the bar’s range intersects with any level’s tolerance zone (default 0.01%). If a touch is detected, that bar’s volume is added to the corresponding level. Over time, this process builds a clear picture of where significant trading activity has clustered. The visualization system highlights these dynamics by applying a color gradient based on volume intensity and adjusting line thickness proportional to accumulated volume. Each level is also labeled with four key data points: The grid number (in square brackets) The price of the level The percentage distance between the level and the opening price of the selected timeframe The total volume accumulated within the level’s tolerance range PARAMETERS Timeframe: Defines the anchor period for grid calculation. Then, the indicator automatically determines the open, high, and low prices. Mode: This option determines how the distance between levels is calculated: Arithmetic (linear) means equal price spacing between levels, while Geometric (logarithmic) means equal percentage spacing between levels. Grids: It's the number of levels between high and low. Color: Base color for grid lines and labels. When volume data is displayed, lower values are darkened by 50%. Show Volume Accumulation: When this parameter is activated, the volume calculation is enabled. Tolerance : The Tolerance parameter (default range: 0.01%) defines the price range around each grid level where volume accumulation is registered. It acts as a sensitivity control that determines how close price must be to a level to count trading volume toward that level's accumulation. ORIGINALITY It’s possible to find comprehensive grid-drawing tools among community indicators, but I haven’t come across an example that combines this concept with volume data. More importantly, I wanted to demonstrate how volume accumulation can be generated for any data modeled as an array on the chart by developers. SUMMARY In conclusion, the selected timeframe and the number of grids are only used as a reference to determine where the levels are drawn. The true value of this indicator lies in its ability to calculate volume accumulation directly from the chart’s own candles, showing how much trading activity occurred around each level. The result is a hybrid framework that merges structural price analysis with volume distribution, offering traders deeper insights into where markets are likely to react. NOTE While powerful, this tool should be used as part of a comprehensive trading strategy rather than as a standalone system. Always combine with risk management principles and market context awareness. I hope it helps everyone. Trade as safely as possible. Best of luck!
Indicador Pine Script®
por dg_factor
1
Quantum Dip Hunter | AlphaNattQuantum Dip Hunter | AlphaNatt 🎯 Overview The Quantum Dip Hunter is an advanced technical indicator designed to identify high-probability buying opportunities when price temporarily dips below dynamic support levels. Unlike simple oversold indicators, this system uses a sophisticated quality scoring algorithm to filter out low-quality dips and highlight only the best entry points. "Buy the dip" - but only the right dips. Not all dips are created equal. ⚡ Key Features 5 Detection Methods: Choose from Dynamic, Fibonacci, Volatility, Volume Profile, or Hybrid modes Quality Scoring System: Each dip is scored from 0-100% based on multiple factors Smart Filtering: Only signals above your quality threshold are displayed Visual Effects: Glow, Pulse, and Wave animations for the support line Risk Management: Automatic stop-loss and take-profit calculations Real-time Statistics: Live dashboard showing current market conditions 📊 How It Works The indicator calculates a dynamic support line using your selected method When price dips below this line, it evaluates the dip quality Quality score is calculated based on: trend alignment (30%), volume (20%), RSI (20%), momentum (15%), and dip depth (15%) If the score exceeds your minimum threshold, a buy signal arrow appears Stop-loss and take-profit levels are automatically calculated and displayed 🚀 Detection Methods Explained Dynamic Support Adapts to recent price action Best for: Trending markets Uses ATR-adjusted lowest points Fibonacci Support Based on 61.8% and 78.6% retracement levels Best for: Pullbacks in strong trends Automatically switches between fib levels Volatility Support Uses Bollinger Band methodology Best for: Range-bound markets Adapts to changing volatility Volume Profile Support Finds high-volume price levels Best for: Identifying institutional support Updates dynamically as volume accumulates Hybrid Mode Combines all methods for maximum accuracy Best for: All market conditions Takes the most conservative support level ⚙️ Key Settings Dip Detection Engine Detection Method: Choose your preferred support calculation Sensitivity: Higher = more sensitive to price movements (0.5-3.0) Lookback Period: How far back to analyze (20-200 bars) Dip Depth %: Minimum dip size to consider (0.5-10%) Quality Filters Trend Filter: Only buy dips in uptrends when enabled Minimum Dip Score: Quality threshold for signals (0-100%) Trend Strength: Required trend score when filter is on 📈 Trading Strategies Conservative Approach Use Dynamic method with Trend Filter ON Set minimum score to 80% Risk:Reward ratio of 2:1 or higher Best for: Swing trading Aggressive Approach Use Hybrid method with Trend Filter OFF Set minimum score to 60% Risk:Reward ratio of 1:1 Best for: Day trading Scalping Setup Use Volatility method Set sensitivity to 2.0+ Focus on Target 1 only Best for: Quick trades 🎨 Visual Customization Color Themes: Neon: Bright cyan/magenta for dark backgrounds Ocean: Cool blues and teals Solar: Warm yellows and oranges Matrix: Classic green terminal look Gradient: Smooth color transitions Line Styles: Solid: Clean, simple line Glow: Adds depth with glow effect Pulse: Animated breathing effect Wave: Oscillating wave pattern 💡 Pro Tips Start with the Trend Filter ON to avoid catching falling knives Higher quality scores (80%+) have better win rates but fewer signals Use Volume Profile method near major support/resistance levels Combine with your favorite momentum indicator for confirmation The pulse animation can help draw attention to key levels ⚠️ Important Notes This indicator identifies potential entries, not guaranteed profits Always use proper risk management Works best on liquid instruments with good volume Backtest your settings before live trading Not financial advice - use at your own risk 📊 Statistics Panel The live statistics panel shows: Current detection method Support level value Trend direction Distance from support Current signal status 🤝 Support Created by AlphaNatt For questions or suggestions, please comment below! Happy dip hunting! 🎯 Not financial advice, always do your own research
Indicador Pine Script®
por AlphaNatt
4
.srb suiteThe essential suite Indicator. that are well integrated to ensure visibility of essential items for trading. it is very cumbersome to put symbol in the Tradingview chart and combine essential individual indicators one by one. Moreover even with such a combination, the chart is messy and visibility is not good. This is because each indicator is not designed with the others in mind. This suite was developed as a composite-solution to that situation, and will make you happy. designed to work in the same pane with open-source indicator by default. Recommended visual order ; Back = .srb suite, Front = .srb suite vol & info individually turn on/off only what you need on the screen. BTC-agg. Volume 4 BTC-spot & 4 BTC-PERP volume aggregated. It might helps you don't miss out on important volume flows. Weighted to spot trading volume when using PERP+spot volume . If enabled, BTC-agg.Vol automatically applied when selecting BTC-pair. --> This is used in calculations involving volumes, such as VWAP. Moving Average 1 x JMA trend ribbon ; Accurately follow short-term trend changes. 3 x EMA ribbon ; zone , not the line. MA extension line ; It provide high visibility to recognize the direction of the MA. SPECIAL TOOLS VWAP with Standard Deviation Bands VWAP ruler BB regular (Dev. 2.0, 2.5) BB Extented (Dev. 2.5, 3.0, 3.5) Fixed Range Volume Profile ; steamlined one, performace tuned & update. SPECIAL TOOLS - Auto Fibonacci Retracement - New GUI 'built-in auto FBR ' has been re-born It shows - retracement Max top/ min bottom ; for higher visibility It shows - current retracement position ; for higher visibility The display of the Fib position that exceeds the regular range is auto-determined according to the price. tradingview | chart setting > Appearance > Top margin 0%, Bottom margin 0% for optimized screen usage tradingview | chart setting > Appearance > Right margin 57 .srb suite vol & info --> Visual Order > Bring to Front .srb suite vol & info --> Pin to scale > No scale (Full-screen) Visual order ; Back = .srb suite, Front = .srb suite vol & info 1. Fib.Retracement core is from tradingview built-in FBR ---> upgrade new-type GUI, and performance tuned. 2. Fixed-range volume-profile core is from the open-source one ---> some update & perf.tuned. --------------------------------------------------------------------------------------------------------------------------------------- if you have any questions freely contact to me by message on tradingview. but please understand that responses may be quite late. Special thanks to all of contributors of community. The script may be freely distributed under the MIT license.
Indicador Pine Script®
por sr_b
20
VPoC per barThis study prints the current bar VPoC as an horizontal line. It's aimed originally at BTCUSDT pair and 15m timeframe. HOW IT WORKS Zoom In mode: This is the default mode. The study zooms in into the latest 15 1-minute bar candles in order to calculate the 15 minute candle VPoC. Zoom Out mode: The VPoC from the last n bars from the current timeframe that match desired timeframe is shown on each bar. In either case you are recommended to click on the '...' button associated to this study and select 'Visual Order. Bring to Front.' so that it's properly shown in your chart. HOW IT WORKS - Zoom In mode Make sure that '(VP) Zoom into the VP timeframe' setting is set to true. Choose the zoomed in timeframe where to calculate VPoC from thanks to the '(VP) Zoomed timeframe {1 minute}' setting. Change '(VP) Zoomed in timeframe bars per current timeframe bar {15}' to its appropiated value. You just need to divide the current timeframe minutes per the zoomed in timeframe minutes per bar. E.g. If you are in 60 minute timeframe and you want to zoom in into 5 minute timeframe: 60 / 5 = 12 . You will write 12 here. HOW IT WORKS - Zoom Out mode Make sure that '(VP) Zoom into the VP timeframe' setting is set to false. If you are using the Zoom out mode you might want to set '(VP) Print VPoC price as discrete lines {True}' to false. Either choose the zoommed out timeframe where to calculate VPoC from thanks to the '(VP) Zoomed timeframe {1 minute}' setting or turn on the '(VP) Use number of bars (not VP timeframe)' setting in order to use '(VP) Number of bars {100}' as a custom number of bars. WARNING - Zoom In mode last bar The way that PineScript handles security function in last bar might result on the last bar not being accurate enough. SETTINGS __ SETTINGS - Volume Profile (VP) Zoomed timeframe {1 minute}: Timeframe in which to zoom in or zoom out to calculate an accurate VPoC for the current timeframe. (VP) Zoomed in timeframe bars per current timeframe bar {15}: Check 'HOW IT WORKS - Zoom In mode' above. Note : It is only used in 'Zoom in' mode. (VP) Number of bars {100}: If 'Use number of bars (not VP timeframe)' is turned on this setting is used to calculate session VPoC. Note : It is only used in 'Zoom out' mode. (VP) Price levels {24}: Price levels for calculating VPoC. __ SETTINGS - MAIN TURN ON/OFF OPTIONS (VP) Print VPoC price {True}: Show VPoC price (VP) Zoom into the VP timeframe: When set to true the VPoC is calculated by zooming into the lower timeframe. When set to false a higher timeframe (or number of bars) is used. (VP) Realtime Zoom in (Beta): Enable real time zoom for the last bar. It's beta because it would only work with zoomed in timeframe under 60 minutes. And when ratio between zoomout and zoomin is less than 60. Note : It is only used in 'Zoom in' mode. (VP) Use number of bars (not VP timeframe): Uses 'Number of bars {100}' setting instead of 'Volume Profile timeframe' setting for calculating session VPoC. Note : It is only used in 'Zoom out' mode. (VP) Print VPoC price as discrete lines {True}: When set to true the VPoC is shown as an small line in the center of each bar. When set to the false the VPoC line is printed as a normal line. __ SETTINGS - EXTRA (VP) VPoC color: Change the VPoC color (VP) VPoC line width {1}: Change VPoC line width (in pixels). (VP) Use number of bars (not VP timeframe): Uses 'Number of bars {100}' setting instead of 'Volume Profile timeframe' setting for calculating session VPoC. Note : It is only used in 'Zoom out' mode. (VP) Print VPoC price as discrete lines {True}: When set to true the VPoC is shown as an small line in the center of each bar. When set to the false the VPoC line is printed as a normal line. CREDITS I have reused and adapted some code from "Poor man's volume profile" study which it's from TradingView IldarAkhmetgaleev user.
Indicador Pine Script®
por ruckard
34
WorldCup Dashboard + Institutional Sessions© 2025 NewMeta™ — Educational use only. # Full, Premium Description ## WorldCup Dashboard + Institutional Sessions **A trade-ready, intraday framework that combines market structure, real flow, and institutional timing.** This toolkit fuses **Institutional Sessions** with a **price–volume decision engine** so you can see *who is active*, *where value sits*, and *whether the drive is real*. You get: **CVD/Delta**, volume-weighted **Momentum**, **Aggression** spikes, **FVG (MTF)** with nearest side, **Daily Volume Profile (VAH/POC/VAL)**, **ATR regime**, a **24h position gauge**, classic **candle patterns**, IBH/IBL + **first-hour “true close”** lines, and a **10-vote confluence scoreboard**—all in one view. --- ## What’s inside (and how to trade it) ### 🌍 Institutional Sessions (Sydney • Tokyo • London • New York) * Session boxes + a highlighted **first hour**. * Plots the **true close** (first-hour close) as a running line with a label. **Use:** Many desks anchor risk to this print. Above = bullish bias; below = bearish. **IBH/IBL** breaks during London/NY carry the most signal. ### 📊 CVD / Delta (Flow) * Net buyer vs seller pressure with smooth trend state. **Use:** **Rising CVD + acceptance above mid/POC** confirms continuation. Bearish price + rising CVD = caution (possible absorption). ### ⚡ Volume-Weighted Momentum * Momentum adjusted by participation quality (volume). **Use:** Momentum>MA and >0 → trend drive is “real”; <0 and falling → distribution risk. ### 🔥 Aggression Detector * ROC × normalized volume × wick factor to flag **forceful** candles. **Use:** On spikes, avoid fading blindly—wait for pullbacks into **aligned FVG** or for aggression to cool. ### 🟦🟪 Fair Value Gaps (with MTF) * Detects up to 3 recent FVGs and marks the **nearest** side to price. **Use:** Trend pullbacks into **bullish FVG** for longs; bounces into **bearish FVG** for shorts. Optional threshold to filter weak gaps. ### 🧭 24h Gauge (positioning) * Shows current price across the 24h low⇢high with a mid reference. **Use:** Above mid and pushing upper third = momentum continuation setups; below mid = sell the rips bias. ### 🧱 Daily Volume Profile (manual per day) * **VAH / POC / VAL** derived from discretized rows. **Use:** **POC below** supports longs; **POC above** caps rallies. Fade VAH/VAL in ranges; treat them as break/hold levels in trends. ### 📈 ATR Regime * **ATR vs ATR-avg** with direction and regime flag (**HIGH / NORMAL / LOW**). **Use:** HIGH ⇒ give trades room & favor trend following. LOW ⇒ fade edges, scale targets. ### 🕯️ Candle Patterns (contextual, not standalone) * Engulfings, Morning/Evening Star, 3 Soldiers/Crows, Harami, Hammer/Shooting Star, Double Top/Bottom. **Use:** Only with session + flow + momentum alignment. ### 🤝 Price–Volume Classification * Labels each bar as **continuation**, **exhaustion**, **distribution**, or **healthy pullback**. **Use:** Align continuation reads with trend; treat “Price↑ + Vol↓” as a caution flag. ### 🧪 Confluence Scoreboard & B/S Meter * Ten elements vote: 🔵 bull, ⚪ neutral, 🟣 bear. **Use:** Execution filter—take setups when the board’s skew matches your trade direction. --- ## Playbooks (actionable) **Trend Pullback (Long)** 1. London/NY active, Momentum↑, CVD↑, price above 24h mid & POC. 2. Pullback into **nearest bullish FVG**. 3. Invalidate under FVG low or **true-close** line. 4. Targets: IBH → VAH → 24h high. **Range Fade (Short)** 1. Asia/quiet regime, **Price↑ + Vol↓** into **VAH**, ATR low. 2. Nearest FVG bearish or scoreboard skew bearish. 3. Invalidate above VAH/IBH. 4. Targets: POC → VAL. **News/Impulse** Aggression spike? Don’t chase. Let it pull back into the aligned FVG; require CVD/Momentum agreement before entry. --- ## Alerts (included) * **Bull/Bear Confluence ≥ 7/10** * **Intraday Target Achieved** / **Daily Target Achieved** * **Session True-Close Retests** (Sydney/Tokyo/London/NY) *(Keep alerts “Once per bar” unless you specifically want intrabar triggers.)* --- ## Setup Tips * **UTC**: Choose the reference that matches how you track sessions (default UTC+2). * **Volume threshold**: 2.0× is a strong baseline; raise for noisy alts, lower for majors. * **CVD smoothing**: 14–24 for scalps; 24–34 for slower markets. * **ATR lengths**: Keep defaults unless your asset has a persistent regime shift. --- ## Why this framework? Because **timing (sessions)**, **truth (flow)**, and **location (value/FVG)** together beat any single signal. You get *who is trading*, *how strong the push is*, and *where risk lives*—on one screen—so execution is faster and cleaner. --- **Disclaimer**: Educational use only. Not financial advice. Markets are risky—backtest and size responsibly.
Indicador Pine Script®
por onedaywillbebillionaire
Volume Voids [theUltimator5]Volume Voids highlights price regions with no or unusually thin participation over a chosen lookback. It bins the lookback’s full price range into equal steps, assigns each bar’s close to a bin, and accumulates volume per bin. Contiguous runs of zero-volume bins are shown as “voids,” while low-volume runs (below a dynamic threshold) mark thin-liquidity “corridors” where price often traverses quickly when revisited. An optional PoC (Point of Control) line marks the mid-price of the highest-volume bin—commonly treated as a recent “value” area that price may revisit. What it draws on your chart Histogram (optional): Right-anchored horizontal volume-by-price bars built from your lookback and bin count. Bars tint green→red via a simple delta proxy (up-bar volume minus down-bar volume) to hint at directional participation inside each price band. Point of Control (optional): A horizontal line at the highest-volume bin’s mid-price (the PoC). Zero-Volume Voids: Translucent boxes where no bin volume printed within the window (detected between the first and last non-empty bins ). Low-Volume Zones: Translucent boxes where bin volume is below a dynamic threshold (see formula below), often acting like low-friction corridors. How it works Slice the lookback’s high→low into N equal price bins. Assign each bar’s closing price to a bin and add that bar’s volume to the bin total. A simple up/down-bar delta proxy drives the histogram’s tinting. PoC = bin with the maximum accumulated volume. Zero-Volume Voids = contiguous runs of bins with exactly zero volume (bounded by the first/last occupied bins). Low-Volume Zones = contiguous runs of bins with volume below: threshold = total_window_volume ÷ (divisor × number_of_bins) Lower divisor → more LV boxes; higher divisor → stricter/fewer boxes. Note: This is a lightweight, chart-native approximation of a volume profile. Volume is binned by bar close (not by tick-level prints or intrabar distribution), so “voids”/“thin” areas reflect this approximation. Key inputs Lookback Period: Window for calculations. Number of Volume Boxes (bins): Histogram resolution. PoC / Show Histogram / Anchor to Right Side: Visibility and layout controls. Low-Volume Threshold Divisor: Sensitivity for LV detection. Colors & Labels: Customize zero-volume / low-volume box colors and optional labels with offsets. How to use (educational, not signals) Context: High-volume = acceptance; thin/zero-volume = inefficiency. Price often rotates near acceptance and moves faster through thin areas. Revisits: On returns to prior voids/LV zones, watch for accelerated moves or fills; PoC can serve as a balance reference. Confluence: Pair with trend tools (e.g., ADX), VWAP/session markers, or structure levels for timing and risk. Limitations & performance Bins use closing price only; intrabar distribution is not modeled. Detections refresh on the live bar; visuals can be heavy on large lookbacks/high bin counts—reduce bins/lookback or hide labels if needed.
Indicador Pine Script®
por TheUltimator5
Technical Summary VWAP | RSI | VolatilityTechnical Summary VWAP | RSI | Volatility The Quantum Trading Matrix is a multi-dimensional market-analysis dashboard designed as an educational and idea-generation tool to help traders read price structure, participation, momentum and volatility in one compact view. It is not an automated execution system; rather, it aggregates lightweight “quantum” signals — VWAP position, momentum oscillator behaviour, multi-EMA trend scoring, volume flow and institutional activity heuristics, market microstructure pivots and volatility measures — and synthesizes them into a single, transparent score and signal recommendation. The primary goal is to make explicit why a given market looks favourable or unfavourable by showing the individual ingredients and how they combine, enabling traders to learn, test and form rules based on observable market mechanics. Each module of the matrix answers a distinct market question. VWAP and its percentage distance indicate whether the current price is trading above or below the intraday volume-weighted average — a proxy for intraday institutional control and value. The quantum momentum oscillator (fast and slow EMA difference scaled to percent) captures short-to-intermediate momentum shifts, providing a quickly responsive view of directional pressure. Multi-EMA trend scoring (8/21/50) produces a simple, transparent trend score by counting conditions such as price above EMAs and cross-EMAs ordering; this score is used to categorize market trend into descriptive buckets (e.g., STRONG UP, WEAK UP, NEUTRAL, DOWN). Volume analysis compares current volume to a recent moving average and computes a Z-score to detect spikes and unusual participation; additional buy/sell pressure heuristics (buyingPressure, sellingPressure, flowRatio) estimate whether upside or downside participation dominates the bar. Institutional activity is approximated by flagging large orders relative to volume baseline (e.g., volume > 2.5× MA) and estimating a dark pool proxy; this is a heuristic to highlight bars that likely had large players involved. The dashboard also performs market-structure detection with small pivot windows to identify recent local support/resistance areas and computes price position relative to the daily high/low (dailyMid, pricePosition). Volatility is measured via ATR divided by price and bucketed into LOW/NORMAL/HIGH/EXTREME categories to help you adapt stop sizing and expectational horizons. Finally, all these pieces feed an interpretable scoring function that rewards alignment: VWAP above, strong flow ratio, bullish trend score, bullish momentum, and favorable RSI zone add to the overall score which is presented as a 0–100 metric and a colored emoji indicator for at-a-glance assessment. The mashup is purposeful: each indicator covers a failure mode of the other. For example, momentum readings can be misleading during volatility spikes; VWAP informs whether institutions are on the bid or offer; volume Z-score detects abnormal participation that can validate a breakout; multi-EMA score mitigates single-EMA whipsaws by requiring a combination of price/EMA conditions. Combining these signals increases information content while keeping each component explainable — a key compliance requirement. The script intentionally emphasizes transparency: when it shows a BUY/SELL/HOLD recommendation, the dashboard shows the underlying sub-components so a trader can see whether VWAP, momentum, volume, trend or structure primarily drove the score. For practical use, adopt a clear workflow: (1) check the matrix score and read the component tiles (VWAP position, momentum, trend and volume) to understand the drivers; (2) confirm market-structure support/resistance and pricePosition relative to the daily range; (3) require at least two corroborating components (for example, VWAP ABOVE + Momentum BULLISH or Volume spike + Trend STRONG UP) before considering entries; (4) use ATR-based stops or daily pivot distance for stop placement and size positions such that the trade risks a small, pre-defined percent of capital; (5) for intraday scalps shorten holding time and tighten stops, for swing trades increase lookback lengths and require multi-timeframe (higher TF) agreement. Treat the matrix as an idea filter and replay lab: when an alert triggers, replay the bars and observe which components anticipated the move and which lagged. Parameter tuning matters. Shortening the momentum length makes the oscillator more sensitive (useful for scalping), while lengthening it reduces noise for swing contexts. Volume profile bars and MA length should match the instrument’s liquidity — increase the MA for low-liquidity stocks to reduce false institutional flags. The trend multiplier and signal sensitivity parameters let you calibrate how aggressively the matrix counts micro evidence into the score. Always backtest parameter sets across multiple periods and instruments; run walk-forward tests and keep a simple out-of-sample validation window to reduce overfitting risk. Limitations and failure modes are explicit: institutional flags and dark-pool estimates are heuristics and cannot substitute for true tape or broker-level order flow; volume split by price range is an approximation and will not perfectly reflect signed volume; pivot detection with small windows may miss larger structural swings; VWAP is typically intraday-centric and less meaningful across multi-day swing contexts; the score is additive and may not capture non-linear relationships between features in extreme market regimes (e.g., flash crashes, circuit breaker events, or overnight gaps). The matrix is also susceptible to false signals during major news releases when price and volume behavior dislocate from typical patterns. Users should explicitly test behavior around earnings, macro data and low-liquidity periods. To learn with the matrix, perform these experiments: (A) collect all BUY/SELL alerts over a 6-month period and measure median outcome at 5, 20 and 60 bars; (B) require additional gating conditions (e.g., only accept BUY when flowRatio>60 and trendScore≥4) and compare expectancy; (C) vary the institutional threshold (2×, 2.5×, 3× volumeMA) to see how many true positive spikes remain; (D) perform multi-instrument tests to ensure parameters are not tuned to a single ticker. Document every test and prefer robust, slightly lower returns with clearer logic rather than tuned “optimal” results that fail out of sample. Originality statement: This script’s originality lies in the curated combination of intraday value (VWAP), multi-EMA trend scoring, momentum percent oscillator, volume Z-score plus buy/sell flow heuristics and a compact, interpretable scoring system. The script is not a simple indicator mashup; it is a didactic ensemble specifically designed to make internal rationale visible so traders can learn how each market characteristic contributes to actionable probability. The tool’s novelty is its emphasis on interpretability — showing the exact contributing signals behind a composite score — enabling reproducible testing and educational value. Finally, for TradingView publication, include a clear description listing the modules, a short non-technical summary of how they interact, the tunable inputs, limitations and a risk disclaimer. Remove any promotional content or external contact links. If you used trademark symbols, either provide registration details or remove them. This transparent documentation satisfies TradingView’s requirement that mashups justify their composition and teach users how to use them. Quantum Trading Matrix — multi-factor intraday dashboard (educational use only). Purpose: Combines intraday VWAP position, a fast/slow EMA momentum percent oscillator, multi-EMA trend scoring (8/21/50), volume Z-score and buy/sell flow heuristics, pivot-based microstructure detection, and ATR-based volatility buckets to produce a transparent, componentized market score and trade-idea indicator. The mashup is intentional: VWAP identifies intraday value, momentum detects short bursts, EMAs provide structural trend bias, and volume/flow confirm participation. Signals require alignment of at least two components (for example, VWAP ABOVE + Momentum BULLISH + positive flow) for higher confidence. Inputs: momentum period, volume MA/profile length, EMA configuration (8/21/50), trend multiplier, signal sensitivity, color and display options. Use shorter momentum lengths for scalps and longer for swing analysis. Increase volume MA for thinly traded instruments. Limitations: Institutional/dark-pool estimates and flow heuristics are approximations, not actual exchange tape. VWAP is intraday-focused. Expect false signals during major news or low-liquidity sessions. Backtest and paper-trade before applying real capital. Risk Disclaimer: For education and analysis only. Not financial advice. Use proper risk management. The author is not responsible for trading losses. ________________________________________ Risk & Misuse Disclaimer This indicator is provided for education, analysis and idea generation only. It is not investment or financial advice and does not guarantee profits. Institutional activity flags, dark-pool estimates and flow heuristics are approximations and should not be treated as exchange tape. Backtest thoroughly and use demo/paper accounts before trading real capital. Always apply appropriate position sizing and stop-loss rules. The author is not responsible for any trading losses resulting from the use or misuse of this tool. ________________________________________ Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
Indicador Pine Script®
por aiTrendview-Charting-System
1
VHX EMA 135/315📈 EMA 135/315 Cross Strategy – Your Trend Compass with Smart Confirmations 🔍 Core Idea The EMA 135/315 Cross strategy is a trend-following system. It tracks two moving averages: EMA 135 → the “fast” line that reacts to short-term price moves EMA 315 → the “slow” line that reacts to the bigger trend When the fast EMA crosses above the slow EMA → market momentum is turning up → BUY signal 🟢 When the fast EMA crosses below the slow EMA → momentum is turning down → SELL signal 🔴 This gives you a clear entry trigger — no guessing, no overcomplication. ✨ On Your Chart BUY/SELL Arrows 🟢 Green arrow = bullish cross → trend turning up 🔴 Red arrow = bearish cross → trend turning down Trend Info Panel (Top Left) Current Trend: BUY / SELL / Neutral Last Cross: how many bars ago it happened EMA Gap in %: measures the strength of the trend Status: “Approaching” if EMAs are getting close → possible cross soon Automatic TP/SL Levels 📈 TP line (+2% from entry) 📉 SL line (–0.5% from entry) Saves time — you instantly see your target and protection EMA Distance Meter Big % gap = strong trend momentum 🚀 Small % gap = weak or sideways market ⚠️ Real-Time Alerts You get notified when a cross happens, even if you’re away from the screen 🧠 The Logic Behind It The EMA 135 reacts faster → it reflects short-term momentum The EMA 315 moves slower → it reflects the main trend When the fast EMA overtakes the slow EMA: short-term strength now aligns with the long-term trend → higher probability of a sustained move The gap % tells you how strong the alignment is — large gap = cleaner moves, small gap = market in transition “Approaching” status warns that the EMAs are converging, which often happens before a reversal 📊 Boosting the Strategy with Volume Analysis The EMA cross is a strong trigger, but volume confirms the quality of the move: High Volume + Cross → more reliable signal, as strong market participation is pushing the trend Low Volume + Cross → caution, the move might be weak or a false breakout 💡 Tip: Check the volume histogram or a volume-based indicator (e.g., Volume Profile, OBV). On a BUY signal: volume should spike above the recent average. On a SELL signal: watch for strong selling volume bars. 📍 Adding Support & Resistance for Precision Support and resistance levels help filter out bad trades and optimize entries: Best BUY setups: EMA 135 crosses above EMA 315 near a known support zone Bonus if volume confirms the move Avoid buying directly into a strong resistance Best SELL setups: EMA 135 crosses below EMA 315 near a known resistance zone Bonus if selling volume is strong Avoid selling directly into a major support 💡 Use tools like horizontal lines, previous highs/lows, and Volume Profile nodes to spot these zones. 📈 Best Usage Practices Timeframes Lower timeframes (1m–5m) → more signals, but more noise → best for scalping with extra filters Always Combine With Confirmation EMA Cross = Trigger Volume spike = Confirmation S/R zone in your favor = High-probability setup Manage Risk Start with the built-in TP/SL Adjust SL if volatility is higher than usual Consider trailing stop once price moves in your favor Avoid Sideways Markets If EMA gap % is very small and crosses happen often → stand aside until a clear direction forms Use Alerts Set alerts for BUY & SELL crosses so you never miss a setup In short: This isn’t just an EMA cross indicator — it’s a trend system with built-in risk management, strength measurement, and pre-trade preparation. Combine it with volume confirmation and smart use of support/resistance, and you turn a simple signal into a high-probability trading edge.
Indicador Pine Script®
por vncentq
Z-Score Volume with CVD Clustering Script Title: Z-Score Volume with CVD Clustering & NY VWAP 📘 Description: This indicator combines statistical volume analysis with order flow confirmation to detect high-probability trade zones and volume-based divergences. 📌 Components: Z-Score of Volume: Identifies statistically significant volume surges or drops relative to a moving average baseline. Cumulative Volume Delta (CVD): Gauges net buying vs. selling pressure using high-frequency bid/ask delta. K-Means Clustering: Applies clustering logic to classify each bar into: Cluster 2 – Strong Bullish: Z-Score and CVD both strong Cluster 1 – Divergence / Bull Trap: Z-Score high, but weak CVD Cluster 0 – Neutral / Noise: No clear alignment Anchored VWAP (NY Session Open): Confirms market structure and institutional trend bias from 9:30 AM ET forward. 🎯 Suggested Applications: ✅ 1. Trend Continuation Entries (Add-ons): Look to add to positions when: Cluster 2 signal occurs Price is above the NY session VWAP Price structure has broken out of prior day high/low or range ⚠️ 2. Divergence Detection (Fade Traps): Cluster 1 signals a bearish divergence (e.g., high volume but weak CVD). Especially useful when price is failing to stay above VWAP. Useful for early exits or reversal setups. 📊 3. Volume Profile Confirmation: Combine with fixed or session-based volume profile tools. Use Z-Score clusters to confirm volume spikes into low-volume nodes (LVNs) or during imbalance transitions. 📍 4. VWAP Structure Confirmation: Anchored VWAP acts as a dynamic reference point. Helps confirm acceptance vs. rejection zones at key institutional levels. 📈 Visuals & Alerts: Color-coded volume bars show intensity of Z-Score & CVD confluence CVD Line plots real-time delta bias with green/red coloring Cluster-based shape markers highlight key bars for actionable signals Optional: Add alerts for Cluster 2 above VWAP or Cluster 1 below VWAP ⚙️ Customization Options: Adjustable Z-Score length Custom anchor timeframe for CVD (e.g., 1D or sessions) Adjustable max lookback depth Toggle VWAP inclusion Extendable to include additional filters: RSI, structure break alerts, etc. 🔧 Ideal Use Cases: NY session intraday traders (ES, NQ, CL, 6E, FX pairs) Breakout traders wanting order flow confirmation Mean reversion traders spotting fake moves Volume-based scalpers looking for edge on short-term order imbalance
Indicador Pine Script®
por immediatePerso44773
real_time_candlesIntroduction The Real-Time Candles Library provides comprehensive tools for creating, manipulating, and visualizing custom timeframe candles in Pine Script. Unlike standard indicators that only update at bar close, this library enables real-time visualization of price action and indicators within the current bar, offering traders unprecedented insight into market dynamics as they unfold. This library addresses a fundamental limitation in traditional technical analysis: the inability to see how indicators evolve between bar closes. By implementing sophisticated real-time data processing techniques, traders can now observe indicator movements, divergences, and trend changes as they develop, potentially identifying trading opportunities much earlier than with conventional approaches. Key Features The library supports two primary candle generation approaches: Chart-Time Candles: Generate real-time OHLC data for any variable (like RSI, MACD, etc.) while maintaining synchronization with chart bars. Custom Timeframe (CTF) Candles: Create candles with custom time intervals or tick counts completely independent of the chart's native timeframe. Both approaches support traditional candlestick and Heikin-Ashi visualization styles, with options for moving average overlays to smooth the data. Configuration Requirements For optimal performance with this library: Set max_bars_back = 5000 in your script settings When using CTF drawing functions, set max_lines_count = 500, max_boxes_count = 500, and max_labels_count = 500 These settings ensure that you will be able to draw correctly and will avoid any runtime errors. Usage Examples Basic Chart-Time Candle Visualization // Create real-time candles for RSI float rsi = ta.rsi(close, 14) Candle rsi_candle = candle_series(rsi, CandleType.candlestick) // Plot the candles using Pine's built-in function plotcandle(rsi_candle.Open, rsi_candle.High, rsi_candle.Low, rsi_candle.Close, "RSI Candles", rsi_candle.candle_color, rsi_candle.candle_color) Multiple Access Patterns The library provides three ways to access candle data, accommodating different programming styles: // 1. Array-based access for collection operations Candle candles = candle_array(source) // 2. Object-oriented access for single entity manipulation Candle candle = candle_series(source) float value = candle.source(Source.HLC3) // 3. Tuple-based access for functional programming styles = candle_tuple(source) Custom Timeframe Examples // Create 20-second candles with EMA overlay plot_ctf_candles( source = close, candle_type = CandleType.candlestick, sample_type = SampleType.Time, number_of_seconds = 20, timezone = -5, tied_open = true, ema_period = 9, enable_ema = true ) // Create tick-based candles (new candle every 15 ticks) plot_ctf_tick_candles( source = close, candle_type = CandleType.heikin_ashi, number_of_ticks = 15, timezone = -5, tied_open = true ) Advanced Usage with Custom Visualization // Get custom timeframe candles without automatic plotting CandleCTF my_candles = ctf_candles_array( source = close, candle_type = CandleType.candlestick, sample_type = SampleType.Time, number_of_seconds = 30 ) // Apply custom logic to the candles float ema_values = my_candles.ctf_ema(14) // Draw candles and EMA using time-based coordinates my_candles.draw_ctf_candles_time() ema_values.draw_ctf_line_time(line_color = #FF6D00) Library Components Data Types Candle: Structure representing chart-time candles with OHLC, polarity, and visualization properties CandleCTF: Extended candle structure with additional time metadata for custom timeframes TickData: Structure for individual price updates with time deltas Enumerations CandleType: Specifies visualization style (candlestick or Heikin-Ashi) Source: Defines price components for calculations (Open, High, Low, Close, HL2, etc.) SampleType: Sets sampling method (Time-based or Tick-based) Core Functions get_tick(): Captures current price as a tick data point candle_array(): Creates an array of candles from price updates candle_series(): Provides a single candle based on latest data candle_tuple(): Returns OHLC values as a tuple ctf_candles_array(): Creates custom timeframe candles without rendering Visualization Functions source(): Extracts specific price components from candles candle_ctf_to_float(): Converts candle data to float arrays ctf_ema(): Calculates exponential moving averages for candle arrays draw_ctf_candles_time(): Renders candles using time coordinates draw_ctf_candles_index(): Renders candles using bar index coordinates draw_ctf_line_time(): Renders lines using time coordinates draw_ctf_line_index(): Renders lines using bar index coordinates Technical Implementation Notes This library leverages Pine Script's varip variables for state management, creating a sophisticated real-time data processing system. The implementation includes: Efficient tick capturing: Samples price at every execution, maintaining temporal tracking with time deltas Smart state management: Uses a hybrid approach with mutable updates at index 0 and historical preservation at index 1+ Temporal synchronization: Manages two time domains (chart time and custom timeframe) The tooltip implementation provides crucial temporal context for custom timeframe visualizations, allowing users to understand exactly when each candle formed regardless of chart timeframe. Limitations Custom timeframe candles cannot be backtested due to Pine Script's limitations with historical tick data Real-time visualization is only available during live chart updates Maximum history is constrained by Pine Script's array size limits Applications Indicator visualization: See how RSI, MACD, or other indicators evolve in real-time Volume analysis: Create custom volume profiles independent of chart timeframe Scalping strategies: Identify short-term patterns with precisely defined time windows Volatility measurement: Track price movement characteristics within bars Custom signal generation: Create entry/exit signals based on custom timeframe patterns Conclusion The Real-Time Candles Library bridges the gap between traditional technical analysis (based on discrete OHLC bars) and the continuous nature of market movement. By making indicators more responsive to real-time price action, it gives traders a significant edge in timing and decision-making, particularly in fast-moving markets where waiting for bar close could mean missing important opportunities. Whether you're building custom indicators, researching price patterns, or developing trading strategies, this library provides the foundation for sophisticated real-time analysis in Pine Script. Implementation Details & Advanced Guide Core Implementation Concepts The Real-Time Candles Library implements a sophisticated event-driven architecture within Pine Script's constraints. At its heart, the library creates what's essentially a reactive programming framework handling continuous data streams. Tick Processing System The foundation of the library is the get_tick() function, which captures price updates as they occur: export get_tick(series float source = close, series float na_replace = na)=> varip float price = na varip int series_index = -1 varip int old_time = 0 varip int new_time = na varip float time_delta = 0 // ... This function: Samples the current price Calculates time elapsed since last update Maintains a sequential index to track updates The resulting TickData structure serves as the fundamental building block for all candle generation. State Management Architecture The library employs a sophisticated state management system using varip variables, which persist across executions within the same bar. This creates a hybrid programming paradigm that's different from standard Pine Script's bar-by-bar model. For chart-time candles, the core state transition logic is: // Real-time update of current candle candle_data := Candle.new(Open, High, Low, Close, polarity, series_index, candle_color) candles.set(0, candle_data) // When a new bar starts, preserve the previous candle if clear_state candles.insert(1, candle_data) price.clear() // Reset state for new candle Open := Close price.push(Open) series_index += 1 This pattern of updating index 0 in real-time while inserting completed candles at index 1 creates an elegant solution for maintaining both current state and historical data. Custom Timeframe Implementation The custom timeframe system manages its own time boundaries independent of chart bars: bool clear_state = switch settings.sample_type SampleType.Ticks => cumulative_series_idx >= settings.number_of_ticks SampleType.Time => cumulative_time_delta >= settings.number_of_seconds This dual-clock system synchronizes two time domains: Pine's execution clock (bar-by-bar processing) The custom timeframe clock (tick or time-based) The library carefully handles temporal discontinuities, ensuring candle formation remains accurate despite irregular tick arrival or market gaps. Advanced Usage Techniques 1. Creating Custom Indicators with Real-Time Candles To develop indicators that process real-time data within the current bar: // Get real-time candles for your data Candle rsi_candles = candle_array(ta.rsi(close, 14)) // Calculate indicator values based on candle properties float signal = ta.ema(rsi_candles.first().source(Source.Close), 9) // Detect patterns that occur within the bar bool divergence = close > close and rsi_candles.first().Close < rsi_candles.get(1).Close 2. Working with Custom Timeframes and Plotting For maximum flexibility when visualizing custom timeframe data: // Create custom timeframe candles CandleCTF volume_candles = ctf_candles_array( source = volume, candle_type = CandleType.candlestick, sample_type = SampleType.Time, number_of_seconds = 60 ) // Convert specific candle properties to float arrays float volume_closes = volume_candles.candle_ctf_to_float(Source.Close) // Calculate derived values float volume_ema = volume_candles.ctf_ema(14) // Create custom visualization volume_candles.draw_ctf_candles_time() volume_ema.draw_ctf_line_time(line_color = color.orange) 3. Creating Hybrid Timeframe Analysis One powerful application is comparing indicators across multiple timeframes: // Standard chart timeframe RSI float chart_rsi = ta.rsi(close, 14) // Custom 5-second timeframe RSI CandleCTF ctf_candles = ctf_candles_array( source = close, candle_type = CandleType.candlestick, sample_type = SampleType.Time, number_of_seconds = 5 ) float fast_rsi_array = ctf_candles.candle_ctf_to_float(Source.Close) float fast_rsi = fast_rsi_array.first() // Generate signals based on divergence between timeframes bool entry_signal = chart_rsi < 30 and fast_rsi > fast_rsi_array.get(1) Final Notes This library represents an advanced implementation of real-time data processing within Pine Script's constraints. By creating a reactive programming framework for handling continuous data streams, it enables sophisticated analysis typically only available in dedicated trading platforms. The design principles employed—including state management, temporal processing, and object-oriented architecture—can serve as patterns for other advanced Pine Script development beyond this specific application. ------------------------ Library "real_time_candles" A comprehensive library for creating real-time candles with customizable timeframes and sampling methods. Supports both chart-time and custom-time candles with options for candlestick and Heikin-Ashi visualization. Allows for tick-based or time-based sampling with moving average overlay capabilities. get_tick(source, na_replace)   Captures the current price as a tick data point   Parameters:      source (float) : Optional - Price source to sample (defaults to close)      na_replace (float) : Optional - Value to use when source is na   Returns: TickData structure containing price, time since last update, and sequential index candle_array(source, candle_type, sync_start, bullish_color, bearish_color)   Creates an array of candles based on price updates   Parameters:      source (float) : Optional - Price source to sample (defaults to close)      candle_type (simple CandleType) : Optional - Type of candle chart to create (candlestick or Heikin-Ashi)      sync_start (simple bool) : Optional - Whether to synchronize with the start of a new bar      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles   Returns: Array of Candle objects ordered with most recent at index 0 candle_series(source, candle_type, wait_for_sync, bullish_color, bearish_color)   Provides a single candle based on the latest price data   Parameters:      source (float) : Optional - Price source to sample (defaults to close)      candle_type (simple CandleType) : Optional - Type of candle chart to create (candlestick or Heikin-Ashi)      wait_for_sync (simple bool) : Optional - Whether to wait for a new bar before starting      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles   Returns: A single Candle object representing the current state candle_tuple(source, candle_type, wait_for_sync, bullish_color, bearish_color)   Provides candle data as a tuple of OHLC values   Parameters:      source (float) : Optional - Price source to sample (defaults to close)      candle_type (simple CandleType) : Optional - Type of candle chart to create (candlestick or Heikin-Ashi)      wait_for_sync (simple bool) : Optional - Whether to wait for a new bar before starting      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles   Returns: Tuple representing current candle values method source(self, source, na_replace)   Extracts a specific price component from a Candle   Namespace types: Candle   Parameters:      self (Candle)      source (series Source) : Type of price data to extract (Open, High, Low, Close, or composite values)      na_replace (float) : Optional - Value to use when source value is na   Returns: The requested price value from the candle method source(self, source)   Extracts a specific price component from a CandleCTF   Namespace types: CandleCTF   Parameters:      self (CandleCTF)      source (simple Source) : Type of price data to extract (Open, High, Low, Close, or composite values)   Returns: The requested price value from the candle as a varip method candle_ctf_to_float(self, source)   Converts a specific price component from each CandleCTF to a float array   Namespace types: array   Parameters:      self (array)      source (simple Source) : Optional - Type of price data to extract (defaults to Close)   Returns: Array of float values extracted from the candles, ordered with most recent at index 0 method ctf_ema(self, ema_period)   Calculates an Exponential Moving Average for a CandleCTF array   Namespace types: array   Parameters:      self (array)      ema_period (simple float) : Period for the EMA calculation   Returns: Array of float values representing the EMA of the candle data, ordered with most recent at index 0 method draw_ctf_candles_time(self, sample_type, number_of_ticks, number_of_seconds, timezone)   Renders custom timeframe candles using bar time coordinates   Namespace types: array   Parameters:      self (array)      sample_type (simple SampleType) : Optional - Method for sampling data (Time or Ticks), used for tooltips      number_of_ticks (simple int) : Optional - Number of ticks per candle (used when sample_type is Ticks), used for tooltips      number_of_seconds (simple float) : Optional - Time duration per candle in seconds (used when sample_type is Time), used for tooltips      timezone (simple int) : Optional - Timezone offset from UTC (-12 to +12), used for tooltips   Returns: void - Renders candles on the chart using time-based x-coordinates method draw_ctf_candles_index(self, sample_type, number_of_ticks, number_of_seconds, timezone)   Renders custom timeframe candles using bar index coordinates   Namespace types: array   Parameters:      self (array)      sample_type (simple SampleType) : Optional - Method for sampling data (Time or Ticks), used for tooltips      number_of_ticks (simple int) : Optional - Number of ticks per candle (used when sample_type is Ticks), used for tooltips      number_of_seconds (simple float) : Optional - Time duration per candle in seconds (used when sample_type is Time), used for tooltips      timezone (simple int) : Optional - Timezone offset from UTC (-12 to +12), used for tooltips   Returns: void - Renders candles on the chart using index-based x-coordinates method draw_ctf_line_time(self, source, line_size, line_color)   Renders a line representing a price component from the candles using time coordinates   Namespace types: array   Parameters:      self (array)      source (simple Source) : Optional - Type of price data to extract (defaults to Close)      line_size (simple int) : Optional - Width of the line      line_color (simple color) : Optional - Color of the line   Returns: void - Renders a connected line on the chart using time-based x-coordinates method draw_ctf_line_time(self, line_size, line_color)   Renders a line from a varip float array using time coordinates   Namespace types: array   Parameters:      self (array)      line_size (simple int) : Optional - Width of the line, defaults to 2      line_color (simple color) : Optional - Color of the line   Returns: void - Renders a connected line on the chart using time-based x-coordinates method draw_ctf_line_index(self, source, line_size, line_color)   Renders a line representing a price component from the candles using index coordinates   Namespace types: array   Parameters:      self (array)      source (simple Source) : Optional - Type of price data to extract (defaults to Close)      line_size (simple int) : Optional - Width of the line      line_color (simple color) : Optional - Color of the line   Returns: void - Renders a connected line on the chart using index-based x-coordinates method draw_ctf_line_index(self, line_size, line_color)   Renders a line from a varip float array using index coordinates   Namespace types: array   Parameters:      self (array)      line_size (simple int) : Optional - Width of the line, defaults to 2      line_color (simple color) : Optional - Color of the line   Returns: void - Renders a connected line on the chart using index-based x-coordinates plot_ctf_tick_candles(source, candle_type, number_of_ticks, timezone, tied_open, ema_period, bullish_color, bearish_color, line_width, ema_color, use_time_indexing)   Plots tick-based candles with moving average   Parameters:      source (float) : Input price source to sample      candle_type (simple CandleType) : Type of candle chart to display      number_of_ticks (simple int) : Number of ticks per candle      timezone (simple int) : Timezone offset from UTC (-12 to +12)      tied_open (simple bool) : Whether to tie open price to close of previous candle      ema_period (simple float) : Period for the exponential moving average      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles      line_width (simple int) : Optional - Width of the moving average line, defaults to 2      ema_color (color) : Optional - Color of the moving average line      use_time_indexing (simple bool) : Optional - When true the function will plot with xloc.time, when false it will plot using xloc.bar_index   Returns: void - Creates visual candle chart with EMA overlay plot_ctf_tick_candles(source, candle_type, number_of_ticks, timezone, tied_open, bullish_color, bearish_color, use_time_indexing)   Plots tick-based candles without moving average   Parameters:      source (float) : Input price source to sample      candle_type (simple CandleType) : Type of candle chart to display      number_of_ticks (simple int) : Number of ticks per candle      timezone (simple int) : Timezone offset from UTC (-12 to +12)      tied_open (simple bool) : Whether to tie open price to close of previous candle      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles      use_time_indexing (simple bool) : Optional - When true the function will plot with xloc.time, when false it will plot using xloc.bar_index   Returns: void - Creates visual candle chart without moving average plot_ctf_time_candles(source, candle_type, number_of_seconds, timezone, tied_open, ema_period, bullish_color, bearish_color, line_width, ema_color, use_time_indexing)   Plots time-based candles with moving average   Parameters:      source (float) : Input price source to sample      candle_type (simple CandleType) : Type of candle chart to display      number_of_seconds (simple float) : Time duration per candle in seconds      timezone (simple int) : Timezone offset from UTC (-12 to +12)      tied_open (simple bool) : Whether to tie open price to close of previous candle      ema_period (simple float) : Period for the exponential moving average      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles      line_width (simple int) : Optional - Width of the moving average line, defaults to 2      ema_color (color) : Optional - Color of the moving average line      use_time_indexing (simple bool) : Optional - When true the function will plot with xloc.time, when false it will plot using xloc.bar_index   Returns: void - Creates visual candle chart with EMA overlay plot_ctf_time_candles(source, candle_type, number_of_seconds, timezone, tied_open, bullish_color, bearish_color, use_time_indexing)   Plots time-based candles without moving average   Parameters:      source (float) : Input price source to sample      candle_type (simple CandleType) : Type of candle chart to display      number_of_seconds (simple float) : Time duration per candle in seconds      timezone (simple int) : Timezone offset from UTC (-12 to +12)      tied_open (simple bool) : Whether to tie open price to close of previous candle      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles      use_time_indexing (simple bool) : Optional - When true the function will plot with xloc.time, when false it will plot using xloc.bar_index   Returns: void - Creates visual candle chart without moving average plot_ctf_candles(source, candle_type, sample_type, number_of_ticks, number_of_seconds, timezone, tied_open, ema_period, bullish_color, bearish_color, enable_ema, line_width, ema_color, use_time_indexing)   Unified function for plotting candles with comprehensive options   Parameters:      source (float) : Input price source to sample      candle_type (simple CandleType) : Optional - Type of candle chart to display      sample_type (simple SampleType) : Optional - Method for sampling data (Time or Ticks)      number_of_ticks (simple int) : Optional - Number of ticks per candle (used when sample_type is Ticks)      number_of_seconds (simple float) : Optional - Time duration per candle in seconds (used when sample_type is Time)      timezone (simple int) : Optional - Timezone offset from UTC (-12 to +12)      tied_open (simple bool) : Optional - Whether to tie open price to close of previous candle      ema_period (simple float) : Optional - Period for the exponential moving average      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles      enable_ema (bool) : Optional - Whether to display the EMA overlay      line_width (simple int) : Optional - Width of the moving average line, defaults to 2      ema_color (color) : Optional - Color of the moving average line      use_time_indexing (simple bool) : Optional - When true the function will plot with xloc.time, when false it will plot using xloc.bar_index   Returns: void - Creates visual candle chart with optional EMA overlay ctf_candles_array(source, candle_type, sample_type, number_of_ticks, number_of_seconds, tied_open, bullish_color, bearish_color)   Creates an array of custom timeframe candles without rendering them   Parameters:      source (float) : Input price source to sample      candle_type (simple CandleType) : Type of candle chart to create (candlestick or Heikin-Ashi)      sample_type (simple SampleType) : Method for sampling data (Time or Ticks)      number_of_ticks (simple int) : Optional - Number of ticks per candle (used when sample_type is Ticks)      number_of_seconds (simple float) : Optional - Time duration per candle in seconds (used when sample_type is Time)      tied_open (simple bool) : Optional - Whether to tie open price to close of previous candle      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles   Returns: Array of CandleCTF objects ordered with most recent at index 0 Candle   Structure representing a complete candle with price data and display properties   Fields:      Open (series float) : Opening price of the candle      High (series float) : Highest price of the candle      Low (series float) : Lowest price of the candle      Close (series float) : Closing price of the candle      polarity (series bool) : Boolean indicating if candle is bullish (true) or bearish (false)      series_index (series int) : Sequential index identifying the candle in the series      candle_color (series color) : Color to use when rendering the candle      ready (series bool) : Boolean indicating if candle data is valid and ready for use TickData   Structure for storing individual price updates   Fields:      price (series float) : The price value at this tick      time_delta (series float) : Time elapsed since the previous tick in milliseconds      series_index (series int) : Sequential index identifying this tick CandleCTF   Structure representing a custom timeframe candle with additional time metadata   Fields:      Open (series float) : Opening price of the candle      High (series float) : Highest price of the candle      Low (series float) : Lowest price of the candle      Close (series float) : Closing price of the candle      polarity (series bool) : Boolean indicating if candle is bullish (true) or bearish (false)      series_index (series int) : Sequential index identifying the candle in the series      open_time (series int) : Timestamp marking when the candle was opened (in Unix time)      time_delta (series float) : Duration of the candle in milliseconds      candle_color (series color) : Color to use when rendering the candle
Biblioteca Pine Script®
por The_Peaceful_Lizard
30
Liquidity Sweep Filter [AlgoAlpha]Unlock a deeper understanding of market liquidity with the Liquidity Sweep Filter by AlgoAlpha. This indicator identifies liquidity sweeps, highlighting key price levels where large liquidations have occurred. By visualizing major and minor liquidation events, traders can better anticipate potential reversals and market structure shifts, making this an essential tool for those trading in volatile conditions. Key Features : 🔍 Liquidity Sweep Detection – Identifies and highlights areas where liquidity has been swept, distinguishing between major and minor liquidation events. 📊 Volume Profile Integration – Displays a volume profile overlay, helping traders spot high-activity price zones where the market is likely to react. 📈 Trend-Based Filtering – Utilizes an adaptive trend detection algorithm to refine liquidity sweeps based on market direction, reducing noise. 🎨 Customizable Visualization – Modify colors, thresholds, and display settings to tailor the indicator to your trading style. 🔔 Alerts for Liquidity Sweeps & Trend Changes – Stay ahead of the market by receiving alerts when significant liquidity events or trend shifts occur. How to Use: 🛠 Add the Indicator : Add the Liquidity Sweep Filter to your chart and configure the settings based on your preferred sensitivity. Adjust the major sweep threshold to filter out smaller moves. 📊 Analyze Liquidity Zones and trend direction : Look for liquidation levels where large buy or sell stops have been triggered. Major sweeps indicate strong reactions, while minor sweeps show gradual liquidity absorption. You can also see which levels are high in liquidity by the transparency of the levels. 🔔 Set-Up Alerts : Use the in-built alerts so you don't miss a trading opportunity How It Works : The Liquidity Sweep Filter detects liquidity events by tracking swing highs and lows (defined as a pivot where neighboring candles are lower/higher than it) where traders are likely to have placed stop-loss orders. It evaluates volume and price action, marking areas where liquidity has been absorbed by the market. Additionally, the integrated trend filter ensures that only relevant liquidity sweeps are highlighted based on market direction, lows in an uptrend and highs in a downtrend. The trend filter works by calculating a basis, and defining trend shifts when the closing price crosses over the upper or lower bands.The included volume profile further enhances analysis by displaying key trading zones where price may react.
Indicador Pine Script®
por AlgoAlpha
31
Range Detect SystemTechnical analysis indicator designed to identify potential significant price ranges and the distribution of volume within those ranges. The system helps traders calculate POC and show volume history. Also detecting breakouts or potential reversals. System identifies ranges with a high probability of price consolidation and helps screen out extreme price moves or ranges that do not meet certain volatility thresholds. ⭕️ Key Features Range Detection — identifies price ranges where consolidation is occurring. Volume Profile Calculation — indicator calculates the Point of Control (POC) based on volume distribution within the identified range, enhancing the analysis of market structure. Volume History — shows where the largest volume was traded from the center of the range. If the volume is greater in the upper part of the range, the color will be green. If the volume is greater in the lower part, the color will be red. Range Filtering — Includes multi-level filtering options to avoid ranges that are too volatile or outside normal ranges. Visual Customization — Shows graphical indicators for potential bullish or bearish crossovers at the upper and lower range boundaries. Users can choose the style and color of the lines, making it easier to visualize ranges and important levels on the chart. Alerts — system will notify you when a range has been created and also when the price leaves the range. ⭕️ How it works Extremes (Pivot Points) are taken as a basis, after confirming the relevance of the extremes we take the upper and lower extremes and form a range. We check if it does not violate a number of rules and filters, perform volume calculations, and only then is the range displayed. Pivot points is a built-in feature that shows an extremum if it has not been updated N bars to the left and N bars to the right. Therefore, there is a delay depending on the bars specified to check, which allows for a more accurate range. This approach allows not to make unnecessary recalculations, which completely eliminates the possibility of redrawing or range changes. ⭕️ Settings Left Bars and Right Bars — Allows you to define the point that is the highest among the specified number of bars to the left and right of this point. Range Logic — Select from which point to draw the range. Maximums only, Minimums only or both. Use Wick — Option to consider the wick of the candles when identifying Range. Breakout Confirmation — The number of bars required to confirm a breakout, after which the range will close. Minimum Range Length — Sets the minimum number of candles needed for a range to be considered valid. Row Size — Number of levels to calculate POC. *Larger values increase the script load. % Range Filter — Dont Show Range is than more N% of Average Range. Multi Filter — Allows use of Bollinger Bands, ATR, SMA, or Highest-Lowest range channels for filtering ranges based on volatility. Range Hit — Shows graphical labels when price hits the upper or lower boundaries of the range, signaling potential reversal or breakout points. Range Start — Show points where Range was created.
Indicador Pine Script®
por HALDRO
6
PRINT_TYPELibrary "PRINT_TYPE" Inputs   Inputs objects   Fields:      inbalance_percent (series int) : percentage coefficient to determine the Imbalance of price levels      stacked_input (series int) : minimum number of consecutive Imbalance levels required to draw extended lines      show_summary_footprint (series bool)      procent_volume_area (series int) : definition size Value area      new_imbalance_cond (series bool) : bool input for setup alert on new imbalance buy and sell      new_imbalance_line_cond (series bool) : bool input for setup alert on new imbalance line buy and sell      stop_past_imbalance_line_cond (series bool) : bool input for setup alert on stop past imbalance line buy and sell Constants   Constants all Constants objects   Fields:      imbalance_high_char (series string) : char for printing buy imbalance      imbalance_low_char (series string) : char for printing sell imbalance      color_title_sell (series color) : color for footprint sell      color_title_buy (series color) : color for footprint buy      color_line_sell (series color) : color for sell line      color_line_buy (series color) : color for buy line      color_title_none (series color) : color None Calculation_data   Calculation_data data for calculating   Fields:      detail_open (array) : array open from calculation timeframe      detail_high (array) : array high from calculation timeframe      detail_low (array) : array low from calculation timeframe      detail_close (array) : array close from calculation timeframe      detail_vol (array) : array volume from calculation timeframe      previos_detail_close (array) : array close from calculation timeframe      isBuyVolume (series bool) : attribute previosly bar buy or sell Footprint_row   Footprint_row objects one footprint row   Fields:      price (series float) : row price      buy_vol (series float) : buy volume      sell_vol (series float) : sell volume      imbalance_buy (series bool) : attribute buy inbalance      imbalance_sell (series bool) : attribute sell imbalance      buy_vol_box (series box) : for ptinting buy volume      sell_vol_box (series box) : for printing sell volume      buy_vp_box (series box) : for ptinting volume profile buy      sell_vp_box (series box) : for ptinting volume profile sell      row_line (series label) : for ptinting row price      empty (series bool) : = true attribute row with zero volume buy and zero volume sell Imbalance_line_var_object   Imbalance_line_var_object var objects printing and calculation imbalance line   Fields:      cum_buy_line (array) : line array for saving all history buy imbalance line      cum_sell_line (array) : line array for saving all history sell imbalance line Imbalance_line   Imbalance_line objects printing and calculation imbalance line   Fields:      buy_price_line (array) : float array for saving buy imbalance price level      sell_price_line (array) : float array for saving sell imbalance price level      var_imba_line (Imbalance_line_var_object) : var objects this type Footprint_bar   Footprint_bar all objects one bar with footprint   Fields:      foot_rows (array) : objects one row footprint      imba_line (Imbalance_line) : objects imbalance line      row_size (series float) : size rows      total_vol (series float) : total volume one footprint bar      foot_buy_vol (series float) : buy volume one footprint bar      foot_sell_vol (series float) : sell volume one footprint bar      foot_max_price_vol (map) : map with one value - price row with max volume buy + sell      calc_data (Calculation_data) : objects with detail data from calculation resolution Support_objects   Support_objects support object for footprint calculation   Fields:      consts (Constants) : all consts objects      inp (Inputs) : all input objects      bar_index_show_condition (series bool) : calculation bool value for show all objects footprint      row_line_color (series color) : calculation value - color for row price      dop_info (series string)      show_table_cond (series bool)
Biblioteca Pine Script®
por Alesetup
footprint_typeLibrary "footprint_type" Contains all types for calculating and rendering footprints Inputs   Inputs objects   Fields:      inbalance_percent (series int) : percentage coefficient to determine the Imbalance of price levels      stacked_input (series int) : minimum number of consecutive Imbalance levels required to draw extended lines      show_summary_footprint (series bool) : bool input for show summary footprint      procent_volume_area (series int) : definition size Value area      show_vah (series bool) : bool input for show VAH      show_poc (series bool) : bool input for show POC      show_val (series bool) : bool input for show VAL      color_vah (series color) : color VAH line      color_poc (series color) : color POC line      color_val (series color) : color VAL line      show_volume_profile (series bool)      new_imbalance_cond (series bool) : bool input for setup alert on new imbalance buy and sell      new_imbalance_line_cond (series bool) : bool input for setup alert on new imbalance line buy and sell      stop_past_imbalance_line_cond (series bool) : bool input for setup alert on stop past imbalance line buy and sell Constants   Constants all Constants objects   Fields:      imbalance_high_char (series string) : char for printing buy imbalance      imbalance_low_char (series string) : char for printing sell imbalance      color_title_sell (series color) : color for footprint sell      color_title_buy (series color) : color for footprint buy      color_line_sell (series color) : color for sell line      color_line_buy (series color) : color for buy line      color_title_none (series color) : color None Calculation_data   Calculation_data data for calculating   Fields:      detail_open (array) : array open from calculation timeframe      detail_high (array) : array high from calculation timeframe      detail_low (array) : array low from calculation timeframe      detail_close (array) : array close from calculation timeframe      detail_vol (array) : array volume from calculation timeframe      previos_detail_close (array) : array close from calculation timeframe      isBuyVolume (series bool) : attribute previosly bar buy or sell Footprint_row   Footprint_row objects one footprint row   Fields:      price (series float) : row price      buy_vol (series float) : buy volume      sell_vol (series float) : sell volume      imbalance_buy (series bool) : attribute buy inbalance      imbalance_sell (series bool) : attribute sell imbalance      buy_vol_box (series box) : for ptinting buy volume      sell_vol_box (series box) : for printing sell volume      buy_vp_box (series box) : for ptinting volume profile buy      sell_vp_box (series box) : for ptinting volume profile sell      row_line (series label) : for ptinting row price      empty (series bool) : = true attribute row with zero volume buy and zero volume sell Value_area   Value_area objects for calculating and printing Value area   Fields:      vah_price (series float) : VAH price      poc_price (series float) : POC price      val_price (series float) : VAL price      vah_label (series label) : label for VAH      poc_label (series label) : label for POC      val_label (series label) : label for VAL      vah_line (series line) : line for VAH      poc_level (series line) : line for POC      val_line (series line) : line for VAL Imbalance_line_var_object   Imbalance_line_var_object var objects printing and calculation imbalance line   Fields:      cum_buy_line (array) : line array for saving all history buy imbalance line      cum_sell_line (array) : line array for saving all history sell imbalance line Imbalance_line   Imbalance_line objects printing and calculation imbalance line   Fields:      buy_price_line (array) : float array for saving buy imbalance price level      sell_price_line (array) : float array for saving sell imbalance price level      var_imba_line (Imbalance_line_var_object) : var objects this type Footprint_info_var_object   Footprint_info_var_object var objects for info printing   Fields:      cum_delta (series float) : var delta volume      cum_total (series float) : var total volume      cum_buy_vol (series float) : var buy volume      cum_sell_vol (series float) : var sell volume      cum_info (series table) : table for ptinting Footprint_info   Footprint_info objects for info printing   Fields:      var_info (Footprint_info_var_object) : var objects this type      total (series label) : total volume      delta (series label) : delta volume      summary_label (series label) : label for ptinting Footprint_bar   Footprint_bar all objects one bar with footprint   Fields:      foot_rows (array) : objects one row footprint      val_area (Value_area) : objects Value area      imba_line (Imbalance_line) : objects imbalance line      info (Footprint_info) : objects info - table,label and their variable      row_size (series float) : size rows      total_vol (series float) : total volume one footprint bar      foot_buy_vol (series float) : buy volume one footprint bar      foot_sell_vol (series float) : sell volume one footprint bar      foot_max_price_vol (map) : map with one value - price row with max volume buy + sell      calc_data (Calculation_data) : objects with detail data from calculation resolution Support_objects   Support_objects support object for footprint calculation   Fields:      consts (Constants) : all consts objects      inp (Inputs) : all input objects      bar_index_show_condition (series bool) : calculation bool value for show all objects footprint      row_line_color (series color) : calculation value - color for row price
Biblioteca Pine Script®
por dboichenko
2
Volume Heatmap 2024 | NXT2017 Christmas EditionHi big players around the world, I wish you a merry christmas time. Today I have a nice present for you: a new volume heatmap indicator for free using! HISTORY My first volume heatmap project got a lot of feedback and a big demand. You can find it here: In this time pinescript version 4 was the newest one and I worked the first time with arrays. Today we have pinescript version 5 and some new features. This is why I tried again with matrix function and the results are better than I expected. HOW IT WORKS The indicator calculates similar like the volume profile. It looks back and every volume where the close price is on the same row area, the volume will cumulated. How much rows the new chart view is showing, you can choose manually. The mind behind this is to find high volume levels, where high volume catch the price in a range or get function as support/resistance line. PICTURES I hope it helps for your trading. You are welcome to give some comments. Merry christmas and best regards NXT2017
Indicador Pine Script®
por NXT2017
10
Multi-Asset Performance [Spaghetti] - By LeviathanThis indicator visualizes the cumulative percentage changes or returns of 30 symbols over a given period and offers a unique set of tools and data analytics for deeper insight into the performance of different assets. Multi Asset Performance indicator (also called “Spaghetti”) makes it easy to monitor the changes in Price, Open Interest, and On Balance Volume across multiple assets simultaneously, distinguish assets that are overperforming or underperforming, observe the relative strength of different assets or currencies, use it as a tool for identifying mean reversion opportunities and even for constructing pairs trading strategies, detect "risk-on" or "risk-off" periods, evaluate statistical relationships between assets through metrics like correlation and beta, construct hedging strategies, trade rotations and much more. Start by selecting a time period (e.g., 1 DAY) to set the interval for when data is reset. This will provide insight into how price, open interest, and on-balance volume change over your chosen period. In the settings, asset selection is fully customizable, allowing you to create three groups of up to 30 tickers each. These tickers can be displayed in a variety of styles and colors. Additional script settings offer a range of options, including smoothing values with a Simple Moving Average (SMA), highlighting the top or bottom performers, plotting the group mean, applying heatmap/gradient coloring, generating a table with calculations like beta, correlation, and RSI, creating a profile to show asset distribution around the mean, and much more. One of the most important script tools is the screener table, which can display: 🔸 Percentage Change (Represents the return or the percentage increase or decrease in Price/OI/OBV over the current selected period) 🔸 Beta (Represents the sensitivity or responsiveness of asset's returns to the returns of a benchmark/mean. A beta of 1 means the asset moves in tandem with the market. A beta greater than 1 indicates the asset is more volatile than the market, while a beta less than 1 indicates the asset is less volatile. For example, a beta of 1.5 means the asset typically moves 150% as much as the benchmark. If the benchmark goes up 1%, the asset is expected to go up 1.5%, and vice versa.) 🔸 Correlation (Describes the strength and direction of a linear relationship between the asset and the mean. Correlation coefficients range from -1 to +1. A correlation of +1 means that two variables are perfectly positively correlated; as one goes up, the other will go up in exact proportion. A correlation of -1 means they are perfectly negatively correlated; as one goes up, the other will go down in exact proportion. A correlation of 0 means that there is no linear relationship between the variables. For example, a correlation of 0.5 between Asset A and Asset B would suggest that when Asset A moves, Asset B tends to move in the same direction, but not perfectly in tandem.) 🔸 RSI (Measures the speed and change of price movements and is used to identify overbought or oversold conditions of each asset. The RSI ranges from 0 to 100 and is typically used with a time period of 14. Generally, an RSI above 70 indicates that an asset may be overbought, while RSI below 30 signals that an asset may be oversold.) ⚙️ Settings Overview: ◽️ Period Periodic inputs (e.g. daily, monthly, etc.) determine when the values are reset to zero and begin accumulating again until the period is over. This visualizes the net change in the data over each period. The input "Visible Range" is auto-adjustable as it starts the accumulation at the leftmost bar on your chart, displaying the net change in your chart's visible range. There's also the "Timestamp" option, which allows you to select a specific point in time from where the values are accumulated. The timestamp anchor can be dragged to a desired bar via Tradingview's interactive option. Timestamp is particularly useful when looking for outperformers/underperformers after a market-wide move. The input positioned next to the period selection determines the timeframe on which the data is based. It's best to leave it at default (Chart Timeframe) unless you want to check the higher timeframe structure of the data. ◽️ Data The first input in this section determines the data that will be displayed. You can choose between Price, OI, and OBV. The second input lets you select which one out of the three asset groups should be displayed. The symbols in the asset group can be modified in the bottom section of the indicator settings. ◽️ Appearance You can choose to plot the data in the form of lines, circles, areas, and columns. The colors can be selected by choosing one of the six pre-prepared color palettes. ◽️ Labeling This input allows you to show/hide the labels and select their appearance and size. You can choose between Label (colored pointed label), Label and Line (colored pointed label with a line that connects it to the plot), or Text Label (colored text). ◽️ Smoothing If selected, this option will smooth the values using a Simple Moving Average (SMA) with a custom length. This is used to reduce noise and improve the visibility of plotted data. ◽️ Highlight If selected, this option will highlight the top and bottom N (custom number) plots, while shading the others. This makes the symbols with extreme values stand out from the rest. ◽️ Group Mean This input allows you to select the data that will be considered as the group mean. You can choose between Group Average (the average value of all assets in the group) or First Ticker (the value of the ticker that is positioned first on the group's list). The mean is then used in calculations such as correlation (as the second variable) and beta (as a benchmark). You can also choose to plot the mean by clicking on the checkbox. ◽️ Profile If selected, the script will generate a vertical volume profile-like display with 10 zones/nodes, visualizing the distribution of assets below and above the mean. This makes it easy to see how many or what percentage of assets are outperforming or underperforming the mean. ◽️ Gradient If selected, this option will color the plots with a gradient based on the proximity of the value to the upper extreme, zero, and lower extreme. ◽️ Table This section includes several settings for the table's appearance and the data displayed in it. The "Reference Length" input determines the number of bars back that are used for calculating correlation and beta, while "RSI Length" determines the length used for calculating the Relative Strength Index. You can choose the data that should be displayed in the table by using the checkboxes. ◽️ Asset Groups This section allows you to modify the symbols that have been selected to be a part of the 3 asset groups. If you want to change a symbol, you can simply click on the field and type the ticker of another one. You can also show/hide a specific asset by using the checkbox next to the field.
Indicador Pine Script®
por LeviathanCapital
88