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Volume Mass PsycheVolume Mass Psyche is a volume-based indicator that shows intensity and consistency of a uptrend and downtrend. It takes into account the change of average momentum of volume flow to predict the trend reversals and show the psychological map of the market condition. The key constants of the formula can be changed to adapt it to your time-frame making it flexible. How to read a chart using VMP: During a clear uptrend the indicator lights up greenish color. Correction of an uptrend - orange. A signal for a downtrend would be when indicator turns red. Each time you see it blue, a correction from downtrend takes place. I also applied EMA to VMP to play a role of confirming a signal. This would make a perfect combination with price-based indicators.
Pine Script®指标
由fract提供
12
Volume Momentum‴ | Volume Momentum Colored HistogramVolume Momentum‴ is a Volume Pressure indicator that allows you to have a better understanding and interpretation of its behavior once you are able to see it through an histrogram. Notice that is histogram has intern bars that allows you to understand the forces of the pressure (positive or negative forces). This indicator allows you to see the end of the highest price tick which allows you to sell right before price drop. What is the best is that you can use it with any kind of graphic that it will always considere the real open, close, high and low trading values. To have access to this indicator, please contact me at: contato @ moneywise . com . br Believe me, this indicator will make your life much easier!
Pine Script®指标
由MarceloTorres提供
2
Volume with Dürschner Moving Average - NMA (Zero Lag)Volume with Dürschner Moving Average - NMA (Zero Lag) This moving average over the Volume follows the Nyquist Sampling Criterion making showing even better behavior on high volatility environments than the Ehlers & Ric's "Zero Lag Moving Average". Applies the same formulae as the moving average at Zero-lag Dürschner Moving Average From the paper abstract: "The well-known Moving Averages (MA), namely the Simple Moving Average ( SMA ), the Exponential Moving Average ( EMA ) and the Weighted Moving Average ( WMA ), are modified in this paper with the help of the Nyquist Criterion. These modified Moving Averages 3.0 show good smoothing characteristics, illustrate relevant trends and trend reversals in price series without a time lag as far as calculated. With regard to smoothing, trend patterns and time lag bring about a significant improvement on conventional SMA (Moving Averages 1.0: SMA , EMA and WMA ). In addition to this, the efficiency of the Moving Averages 3.0 is demonstrated by applying several tests and a simple trading system." The Dürschner Moving Average was published at the IFTA 2012 (International Federation of Technical Analysts) Journal, page 27.
Pine Script®指标
由redknight666提供
1
Volume Bulls vs Bears (Improved)The "Volume Bulls vs Bears (Improved)" is a raw and powerful volume-based indicator for TradingView that visualizes market participation by separating volume into "bullish" and "bearish" components. It provides a clear and visually appealing stacked histogram alongside a moving average of total volume, helping traders identify trends in market participation. Key Features Bullish vs Bearish Volume Separation: Bullish Volume: Represents the portion of volume contributed by buyers (when prices move up). Bearish Volume: Represents the portion of volume contributed by sellers (when prices move down). Volume is calculated based on price action within the range of the candle: Bulls = ((Close - Low) / (High - Low)) * Total Volume Bears = ((High - Close) / (High - Low)) * Total Volume Stacked Histogram: Bullish and bearish volumes are plotted as a stacked histogram. Bull Color: Green (default). Bear Color: Red (default). This makes it easy to spot shifts in volume dominance between bulls and bears. Volume SMA: A Simple Moving Average (SMA) of total volume over a user-defined period helps smooth out fluctuations and shows overall volume trends. Default period is 20 bars. SMA Line: Yellow (default), adjustable in width. User-Customizable Inputs: Volume SMA Period: Adjust the lookback period for the moving average. Bull/Bear Colors: Customizable histogram colors. SMA Line Color and Width: Allows flexibility for better chart aesthetics. Non-Overlapping Visuals: The histogram avoids overlap, ensuring clarity by visually stacking bullish and bearish volumes. How to Use the Indicator Identify Bullish Volume Dominance: If the green (bullish) volume bars are larger, it indicates stronger buying pressure within the candle range. Identify Bearish Volume Dominance: If the red (bearish) volume bars are larger, it signals stronger selling pressure. Volume Trend: Use the Volume SMA line to identify whether overall volume is increasing, decreasing, or staying stable. Rising volume typically strengthens trends, while declining volume can indicate weakness. Use Cases Spotting volume trends that confirm price movements (e.g., rising prices with rising bullish volume). Recognizing potential reversals when bearish volume starts dominating previously bullish candles. Identifying accumulation or distribution phases by analyzing volume behavior. Conclusion This "Volume Bulls vs Bears (Improved)" indicator provides traders with deeper insights into market participation. Its raw, no-frills design offers clear visuals to help assess bullish and bearish volume dynamics with an additional smoothing component through the SMA. It’s an essential tool for volume-focused traders looking to confirm trends or anticipate reversals.
Pine Script®指标
由gotmoney96提供
3
Volume Profile Histogram [SS]I usually (and by usually, I mean the past year xD) release a significant indicator as my Christmas gift to the community on Christmas Eve. Last year, it was the Z-Score buy and sell signal; this year, it's something a little more conventional. So here is this year’s gift—hope you like it! 🎁 Seems like everyone has their take on Volume Profiles (aka SVP or VSP). I decided to create one, and in true Steversteves fashion, you can expect to find all the goodies that come with most of my stuff, including a volume profile presented in a bell-curve/histogram style (chart above) and statistical frequency tables showing the cases by ranges: And it wouldn't be a true Steversteves indicator without some kind of ATR thing: So, what does it do? At the end of the day, it is a form of an SVP indicator. However, it is meant to operate on a larger scale, sorting volume in a traditional bell-curve style. In addition to displaying volume, it breaks down buying vs. selling volume. Selling volume is classified as such when the open is greater than close, while buying is when close is greater than open. This breakdown allows you to see the distribution, by price range, of where selling and buying occur. This permits the indicator to provide 2 Points of Control (POCs). A POC is defined as an area of high volume activity. Because buying and selling volumes are broken down into two, we can identify areas with high selling and areas with high buying. Sometimes they coincide, sometimes they differ. If we look at SQQQ, for example: We can see that the bearish point of control is one point below the bullish POC. This is interesting because it essentially shows where people may be "panic selling" or setting their stop-outs. If SQQQ drops below 18.8, then it's likely to trigger panic selling, as indicated by the histogram. Conversely, we can observe that traders tend to position long between $18 and $24. The POC is noted in the stats table and also displayed on the chart. Bullish POC is shown in purple, bearish in yellow. These, of course, can be toggled off. The Frequency Table: The frequency table shows how many observations were obtained in each price range. The histogram illustrates the cumulative volume traded, while the frequency simply counts how many cases occurred over the lookback period. ATR Range Analytics by Volume: The indicator also has the ability to display range analytics by volume. When you toggle on the range analytics by volume option, a range chart will appear: www.tradingview.com The range chart goes from the minimum recorded volume to the maximum recorded volume in the period, showing the average range and direction associated with this volume. This is crucial to pay attention to because not all stocks behave the same way. For example, in the chart above (AMD), we can see that low volume produces a general bearish bias, and high volume produces a general bullish bias. However, if we look at the range analytics for SPY: Low volume has the inverse effect. Low volume is associated with a more bullish bias, and high volume indicates a more bearish bias. In the ATR chart, the threshold volume to transition from bullish bias to bearish bias is approximately > 78,607,268 traded shares. The Stats Table: The stats table can be toggled on or off. It simply displays the POCs and the time range for the VSP. The default time range is 1 trading year (252 days), assuming you are on the daily timeframe. However, you can use this on any timeframe. The percentages displayed in the histogram is the cumulative percent of buying and selling volume independently. So when you see the percentage on the selling histogram, its the percent of cumulative selling only. Same for the buying. And that's the indicator! I hope you enjoy it. Let me know your thoughts. I hope you all have safe holidays, a Merry Christmas for you North Americans, and a Happy Christmas for you UKers, and whatever else you celebrate/care about and do! Safe trades, everyone, and enjoy your holidays! 🎁🎄🎄🎄⭐⭐⭐ 🕎 🕎 🕎
Pine Script®指标
由Steversteves提供
4
Volume Bars ColorThe Volume Bars Color indicator for the TradingView platform is a tool for visualizing trading volumes based on their values. It colors volume histograms on the chart according to their relative magnitude compared to the average volume and standard deviation. Features: - Volumes exceeding the average value by more than one standard deviation are considered large and highlighted in red. - Volumes lower than the average by more than one standard deviation are considered low and displayed in orange. - Volumes within one standard deviation of the average are considered average and marked in gray. - Users can adjust the period for calculating the average volume. How to Use: - Add the indicator to your chart. - Adjust the period for calculating the average volume using the corresponding parameter. - Observe how trading volumes on the chart are colored based on their magnitude relative to the average volume and standard deviation. Example Usage: On the chart, red volume histograms indicate periods of high trading activity, orange histograms signify low trading volume, and gray histograms represent average trading volume. Remember: The Volume Bars Color indicator helps visualize trading volumes and identify periods with the most active or least active trading volume. However, it should be used in conjunction with other tools and analytical methods to make informed trading decisions.
Pine Script®指标
由Evgenyc111提供
Volume DashboardReleasing Volume Dashboard indicator. What it does: The volume dashboard indicator pulls volume from the current session. The current session is defaulted to NYSE trading hours (9:30 - 1600). It cumulates buying and selling volume. Buying volume is defined as volume associated with a green candle. Selling volume is defined as volume associated with a red candle. It also pulls Put to Call Ratio data from the Ticker PCC (Total equity put to call ratios). With this data, the indicator displays the current Buy Volume and the Current Sell Volume. It then uses this to calculate a "Buyer to Seller Ratio". The Buy to Sell ratio is calculated by Buy Volume divided by Sell Volume. This gives a ratio value and this value will be discussed below. The Indicator also displays the current Put to Call Ratio from PCC, as well as displays the SMA. Buy to Sell Ratio: The hallmark of this indicator is its calculation of the buy to sell ratio. A buy to sell ratio of 1 or greater means that buyers are generally surpassing sellers. However, a buy to sell ratio below 1 generally means that sellers are outpacing buyers (0 buyers to 0.xyx sellers). The SMA is also displayed for buy to sell ratio. Generally speaking, a buy to sell SMA of greater than or equal to 1 means that there are consistent buyers showing up. Below this, means there is inconsistent buying. Change Analysis: The indicator also displays the current change of Volume and Put to Call. Put to Call Change: A negative change in Put to Call is considered positive, as puts are declining (i.e. sentiment is bullish). A positive change in Put to Call is considered negative, as puts are increasing (i.e. sentiment is bearish). The Put to Call change is also displayed in an SMA to see if the negative or positive change is consistent. Volume Change : A negative volume change is negative, as buyers are leaving (i.e. sentiment is bearish). A positive volume change is positive, as buyers are coming in (i.e. sentiment is bullish). The volume change is also displayed as an SMA to see if the negative or positive change is consistent. Indicator breakdown: The indicator displays the total cumulative Buy vs Sell volume at the top. From there, it displays the Ratio and various other variables it tracks. The colour scheme will change to signal bearish vs bullish variables. If a box is red, the indicator is assessing it as a bearish indicator. If it is green, it is considered a bullish indicator. The indicator will also plot a green up arrow when buying volume surpasses selling volume and a red down arrow when selling volume surpasses buying volume: Customization: The indicator is defaulted to regular market hours of the NYSE. If you are using this for trading Futures, or trading pre-market, you will need to manually adjust the session time to include these time periods. The indicator is defaulted to read volume data on the 1 minute timeframe. My suggestion is to leave it as such, even if you are viewing this on the 5 minute timeframe. The volume data is best accumulated over the 1 minute timeframe. This permits more reliable reading of volume data. However, you do have the ability to manually modify this if you wish. As well, the user can toggle on or off the SMA assessments. If you do not wish to view the SMAs, simply toggle off "Show SMAs" in the settings menu. The user can also choose what time period the SMA is using. It is defaulted to a 14 candle lookback, but you can modify this to your liking, simply input the desired lookback time in the SMA lookback input box on the settings menu. Please note, the SMA Length setting will apply to ALL of the SMAs. That is the bulk of the indicator! As always, let me know your questions or feedback on the indicator below. Thank you for taking the time to check it out and safe trades!
Pine Script®指标
由Steversteves提供
15
Volume X-ray [LucF]█  OVERVIEW This tool analyzes the relative size of ​volume reported on intraday vs ​EOD (end of day) data feeds on historical bars. If you use ​​volume data to make trading decisions, it can help you improve your understanding of its nature and quality, which is especially important if you trade on intraday timeframes. I often mention, when discussing ​volume analysis, how it's important for traders to understand the ​volume data they are using: where it originates, what it includes and does not include. By helping you spot sizeable differences between ​volume reported on intraday and ​EOD data feeds for any given instrument, "Volume X-ray" can point you to instruments where you might want to research the causes of the difference. █  CONCEPTS The information used to build a chart's historical bars originates from data providers (exchanges, brokers, etc.) who often maintain distinct historical feeds for intraday and ​EOD timeframes. How ​volume data is assembled for intraday and ​EOD feeds varies with instruments, brokers and exchanges. Variations between the two feeds — or their absence — can be due to how instruments are traded in a particular sector and/or the ​volume reporting policy for the feeds you are using. Instruments from crypto and forex markets, for example, will often display similar ​volume on both feeds. Stocks will often display variations because block trades or other types of trades may not be included in their intraday ​volume data. ​Futures will also typically display variations. It is even possible that ​volume from different feeds may not be of the same nature, as you can get trade ​volume (market ​volume) on one feed and tick ​volume (transaction counts) on another. You will sometimes be able to find the details of what different feeds contain from the technical information provided by exchanges/brokers on their feeds. This is an example for the NASDAQ feeds . Once you determine which feeds you are using, you can look for the reporting specs for that feed. This is all research you will need to do on your own; "Volume X-ray" will not help you with that part. You may elect to forego the deep dive in feed information and simply rely on the figure the indicator will calculate for the instruments you trade. One simple — and unproven — way to interpret "Volume X-ray" values is to infer that instruments with larger percentages of intraday/​EOD ​​volume ratios are more "democratic" because at intraday timeframes, you are seeing a greater proportion of the actual traded ​volume for the instrument. This could conceivably lead one to conclude that such ​​volume data is more reliable than on an instrument where intraday ​volume accounts for only 3% of ​EOD ​volume, let's say. Note that as intraday vs ​EOD variations exist for historical bars on some instruments, there will typically also be differences between the realtime feeds used on intraday vs 1D or greater timeframes for those same assets. Realtime reporting rules will often be different from historical feed reporting rules, so variations between realtime feeds will often be different from the variations between historical feeds for the same instrument. A deep dive in reporting rules will quickly reveal what a jungle they are for some instruments, yet it is the only way to really understand the ​volume information our charts display. █  HOW TO USE IT The script is very simple and has no inputs. Just add it to 1D charts and it will calculate the proportion of ​volume reported on the intraday feed over the ​​EOD ​volume. The plots show the daily values for both volumes: the teal area is the ​EOD ​volume, the orange line is the intraday ​volume. A value representing the average, cumulative intraday/​EOD ​volume percentage for the chart is displayed in the upper-right corner. Its background color changes with the percentage, with brightness levels proportional to the percentage for both the bull color (% >= 50) or the bear color (% < 50). When abnormal conditions are detected, such as missing ​volume of one kind or the other, a yellow background is used. Daily and cumulative values are displayed in indicator values and the Data Window. The indicator loads in a pane, but you can also use it in overlay mode by moving it on the chart with "Move to" in the script's "More" menu, and disabling the plot display from the "Settings/Style" tab. █  LIMITATIONS  • The script will not run on timeframes >1D because it cannot produce useful values on them.  • The calculation of the cumulative average will vary on different intraday timeframes because of the varying number of days covered by the dataset.   Variations can also occur because of irregularities in reported ​volume data. That is the reason I recommend using it on 1D charts.  • The script only calculates on historical bars because in real time there is no distinction between intraday and ​EOD feeds.  • You will see plenty of special cases if you use the indicator on a variety of instruments:    • Some instruments have no intraday ​volume, while on others it's the opposite.    • Missing information will sometimes appear here and there on datasets.    • Some instruments have higher intraday than ​​EOD ​volume.   Please do not ask me the reasons for these anomalies; it's your responsibility to find them. I supply a tool that will spot the anomalies for you — nothing more. █  FOR PINE CODERS  • This script uses a little-known feature of request.security() , which allows us to specify `"1440"` for the `timeframe` argument.   When you do, data from the 1min intrabars of the historical intraday feed is aggregated over one day, as opposed to the usual ​EOD feed used with `"D"`.  • I use gaps on my request.security() calls. This is useful because at intraday timeframes I can cumulate non- na values only.  • I use fixnan() on some values. For those who don't know about it yet, it eliminates na values from a series, just like not using gaps will do in a request.security() call.  • I like how the new switch structure makes for more readable code than equivalent if structures.  • I wrote my script using the revised recommendations in the Style Guide from the Pine v5 User Manual.  • I use the new runtime.error() to throw an error when the script user tries to use a timeframe >1D.   Why? Because then, my request.security() calls would be returning values from the last 1D intrabar of the dilation of the, let's say, 1W chart bar.   This of course would be of no use whatsoever — and misleading. I encourage all Pine coders fetching HTF data to protect their script users in the same way.   As tool builders, it is our responsibility to shield unsuspecting users of our scripts from contexts where our calcs produce invalid results.  • While we're on the subject of accessing intrabar timeframes, I will add this to the intention of coders falling victim to what appears to be   a new misconception where the mere fact of using intrabar timeframes with request.security() is believed to provide some sort of edge.   This is a fallacy unless you are sending down functions specifically designed to mine values from request.security() 's intrabar context.   These coders do not seem to realize that:    • They are only retrieving information from the last intrabar of the chart bar.    • The already flawed behavior of their scripts on historical bars will not improve on realtime bars. It will actually worsen because in real time,     intrabars are not yet ordered sequentially as they are on historical bars.    • Alerts or strategy orders using intrabar information acquired through request.security() will be using flawed logic and data most of the time.   The situation reminds me of the mania where using Heikin-Ashi charts to backtest was all the rage because it produced magnificent — and flawed — results.   Trading is difficult enough when doing the right things; I hate to see traders infected by lethal beliefs.   Strive to sharpen your "herd immunity", as Lionel Shriver calls it. She also writes: "Be leery of orthodoxy. Hold back from shared cultural enthusiasms."   Be your own trader. █  THANKS This indicator would not exist without the invaluable insights from Tim, a member of the Pine team. Thanks Tim!
Pine Script®指标
由LucF提供
14