Buying Selling Volume v3Bug fixed from v2. Currently adds up values correctly.
Note: To get more accurate readings reduce the time frame. For some reason it isn't counting the last bar and I am not smart enough to figure out why.
Builds on Ceyhun's "Buying Selling Volume" indicator. This version allows users to define periods by effortlessly dragging two points or you may define periods by manually entering the start and end times in the settings window. Once the period is defined, both buying and selling volume will be totaled thus displaying the amount of buys and sells in that period.
I have found the information provided from the script helps in defining a period of consolidation as either being accumulative or distributive.
Cari dalam skrip untuk "volume"
Nasdaq or US Composite Total VolumeBecause no NASDAQ composite index or NYSE composite index provide data volume, this script intends to use the NASDAQ Composite total volume index, index ticker : TVOLQ, or the NYSE Composite total volume index, index ticker : TVOL, as a classical volume indicator on chart.
How tu use : in the input tab choose youe prefered SMA lenght and the volume' index ticker you want to display. TVOLQ for the NASDAQ Composite total volume or TVOL for the NYSE Composite total volume.
On chart, choose to display the indicator in a new pane.
Daily Short VolumeThis is a script to utilize Quandl (Now Nasdaq Data Link) FINRA Short Volume datasets to see daily volume proportions by short / long activity.
For clarity, long volume does not indicate buying or selling, just that some volume for the day was either buying-to-open or selling-to-close.
Similar but opposite, short volume indicates that some volume for the day was either selling-to-open or buying-to-close.
The decimal value indicates the proportion of Long to Short volume. Example, 0.40 green / 0.60 red would indicate 40% long volume / 60% short volume for that day.
We can take that information as well as the overall outcome of the days session to get an idea for who was drove the market direction for the day.
The four clear outcomes that we can look for are:
If the volume was mostly long (a mostly green bar in the indicator) than an up day would indicate position holders added to long positions.
If the volume was mostly long (a mostly green bar in the indicator) than a down day would indicate position holders reduced from long positions.
If the volume was mostly short (a mostly red bar in the indicator) than a down day would indicate position holders sold short and added to short positions.
If the volume was mostly short (a mostly red bar in the indicator) than an up day would indicate position holders bought to cover long positions.
Those are the clearest possible cases but far more likely the volume will be muddled between short and long making interpreting the net outcome of the day far more difficult.
Unfortunately this data is only published at a daily resolution by FINRA and is usually available at the end of the trading day approximately 3-4 hours following market close.
Please reach out with any questions, suggestions, or recommendations on how to improve this indicator.
Best,
Zero
.b BTC-Exchange volumeBINANCE:BTCUSDT
It's tool to check exchange trading status.
You can see "BTC-exchange's realtime trading volume, previous closed volume" at once.
You can switch to see 'Previous close volume' on script's panel.
Timeframe recommended ; 15m, 1H, 4H, D, W, whatever.
Each exchange may have a different volume display unit, so I converted it into roughly BTC units. (using hl2 price)
This indicator aims to recognize the difference in the trading volume of the exchange at once.
It's not for the purpose of check the exact trading volume.
All data come from tradingview.
The comparison target exchanges refer to the ranking of CoinMarketCap.
if you have any questions freely contact to me by message on tradingview, or telegram @sr_bt
but please understand that responses may be quite late.
Ranged Volume Study - R3c0nTraderCredits:
Thank you "EvoCrypto" for granting me permission to use "Ranged Volume" to create this version of it.
What is this and What does this do?
This study shows the ranged volume, and it can be used to produce buy signals for a 3Commas bot.
What’s different about this script?
I added code so that negative volume has its own color settings and lower opacity than the positive volume.
I changed the color scheme from Yellow, Red, Green, and Black to Yellow, Red, Light Blue, and Dark Blue.
How to Use
1. On the “Inputs” tab:
a. Set your “Volume Range Length” (number of bars to look back)
b. “Heikin Ashi” – Usually I leave this enabled. Make sure this matches what you have in your strategy!
c. “Show Bar Colors” – Leave disabled. Let the Strategy script color the bars in the price chart.
d. “Show Break-Out” – Leave enabled. Highlights the volume breakout in yellow and breakdowns in red.
e. “Show Range” – Leave enabled
[blackcat] L1 Markos Katsanos Volume Flow IndicatorLevel 1
Background
Markos Katsanos’ volume flow indicator (VFI) calculation uses a default period of 130 days for daily charts. As a result, when applying the strategy, you will need to set the maximum number of bars the study will reference in the general tab of properties for all to at least 130. In order to compare the system objectively with the buy & hold results, he specified a trade size as a percent of equity.
Function
For more information see Markos Katsanos's articles in the June 2004 and July 2004 issues of Technical Analysis of Stocks & Commodities magazine. Period=days for VFI calculation. Default values are 130 for daily and 26 for weekly charts.Coef=coefficient for minimal price cut-of (use 0.2 for daily and 0.1 for intraday 5-15 min data) Vcoef=coefficient for volume cut-off (use 2.5 for daily and 3.5 for intraday charts)
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
ValiantTrader_RSA VolumeINSTRUCTIONS:
-Add it to your chart then click on 3 dots in the indicator > move to > New pane below
Recommended Timeframes : M5, M15 and M30
When volume decrease and price also decrease, expect a bullish trend .
When volume increase and price decrease, expect a bullish trend .
When volume decrease and price increase, expect a bearish trend .
When volume increase and price also increase, expect a bearish trend .
Current bar predicted volumeDrag this indicator in the same panel with the volume in the object tree, then right click on the scale bar and set "merge all scale into one" for a correct visualization.
This indicator multiply the current traded volume of a candle with the total time of that candle. This offer a prediction of where, in case the volumes would keep trading at a comparable magnitude, the volume bar would close when the candle will close.
The predicted volume is indicated with a blue short line above the current volume bar, and updates in real time.
I find this indicator extremely useful to offer at a glance an idea of an ascending or descending volume pattern, that can serve as confirmation for a reversal or breakout for example.
Very suitable for short time frames, where decisions have to be taken fast.
Enjoy,
Luca.
Per Volume Price ImpactLiquidity, Information and Market Timing
* Market Liquidity
The term liquidity can refer to many things in finance. In this article, we will limit the scope of discussion to the market’s ability to transact without incurring a significant increase in volatility.
As we know, liquidity and volatility have an inversed relationship — the more ample the liquidity, the lower the volatility (attributed to transaction cost, price movement and, so on). With this understanding, we can say large movements in the market are driven by low liquidity. This does not seem to make sense because the markets are huge, how can it possibly be illiquid? Now, this has to do with how the market operates and how exchanges occur (This topic concerns the area of market microstructure).
* Order Book & the Trading Process
So how does a transaction actually occur in the market? Let’s assume we open a position with a market order. In this case, you will get the price on your quote board if there are enough units of assets people are willing to sell at that price. If there are not enough units, you will buy from the second-best price and so on until your order is filled. Now in the second case, as the order is being filled, the change in price is recorded. Therefore, if someone wishes to move the market, theoretically, they just need to buy up or sell up but it is problematic to do so.
Here is why:
while dry up the liquidity can make huge moves, it is inefficient to do so.
it takes a lot of money to do that
your position will be exposed, someone more resourceful than you may go against you and that is a huge risk
market manipulation charges
when you open a position, the entry price of the position is essentially a VWAP (volume-weighted average price). If you attempt to move the market and open a buy position at the same time, you will have a higher VWAP, eating into your own profit.
I think these reasons are sufficient in establishing why opening a position and drying up liquidity to profit is a dumb idea. But of course, the institutions are not stupid, the alternative is to enter your position first then move the market.
To measure liquidity one of the tools people use is the order book. It can offer an overview of the sentiment (by looking at the orders and changes in volume) and how people are positioned (if the broker offers such data). In my opinion, open interest is a much better tool than order as it records the transactions that have occurred, hence less prone to manipulations (google: “Navinder Singh Sarao”, the trader who used fake orders to manipulate algorithms to crash the market).
But to quantify the order book is so much work as well (there are ways, just difficult), what we can do is to make things simpler.
* Quantify Market Impact
We know price and volume reflect information, while the past technical information has no predictive power per semi-strong form of EMH, empirical studies have often tested this theory over a longer time horizon. In our case, precisely due to the mechanism of exchange and human behavior (The lack of incentive to move the market right away) we can, in the very short term (often intraday), foresee if the market is going to move or not. Back to the very definition of liquidity being the ability to transact without moving the market significantly, we can take this definition and quantify it with this formula:
Market Impact = (High — Low) / Volume
Why specifically “high — low”, because that’s the complete information in that moment and it is corresponding to the volume. A little crude but it is the simplest form.
A few things to take note of here:
We can only know the complete picture once the candle is complete. This is fine in most markets because it takes time to gather money and orders.
We often see high liquidity during certain time of the day, for example, when the market opens and so on. As a result, we need to take some scientific approaches to transform the data.
Now, this looks much better. To interpret this graph, the lower the value, the lower the market impact, the deeper the liquidity.
* Generate Tradable Insights
To generate trade ideas isn’t a difficult task, we all know the RSI, MOM, STOC, etc. all the indicators attempt to draw boundaries, and we can do the same but we need to be a little more advanced and critical.
step 1: we first need to normalize the data. To do that we will take the log of the values to make the skewed distribution normal. The result isn’t ideal if you zoom out but I think this is decent enough to work with. Here is
This is still not a stationary time series, but it looks stable enough and it mean-reverts. So we turn to our lovely standard deviation bands for help.
Step 2: Because this is not a stationary process (visually, you can test it statistically if you wish), we cannot just take sample mean and SD and also because we want to show off our data skills, so we turn to move averages and regressions. I’m going to use moving regression here because I think it is better (mean can be distorted by large values by a larger margin and it lags)
I’m using the moving regression band on TradingView and 1.5 SD here for convenience, you can try to optimize the parameters with codes or other regression models if you wish. But I think it is more important to understand the rationale here.
This step is essentially trying to figure out the anomalies in liquidity so that we can see when there is deep liquidity. This is also why choosing the parameter is crucial because you are essentially approximating how much informed trading is taking place (This is a concept in market microstructure for brokerages to set their spreads but it is not a good tool in a liquid market). By setting the level at 1.5 we are assuming about 86% of the time the market is in what we consider a normal liquid state. (again it is arbitrary, but based on the 68–95–99.7 rule of normal distribution). The rest of the time will be either low or high liquidity, When liquidity is deep, it perhaps, signals institutional money is pouring into the market and big moves may follow.
* Conclusion
There you have it, how to enter the market with the big bucks. But do take note there are plenty of assumptions and a lot to improve on here.
BarRange vs VolumeThis is a volume spread analysis/ breadth type indicator.
Compares average bar size to the average volume. Looks for small bar and high volume.
Performante's Average Ethereum Volume Indicator EMAThis indicator takes the volume from the biggest exchanges and plots the average volume. Exchanges incorporated in this average include Bitfinex, Coinbase, Bitstamp, Bitmex, Kraken, Binance, Bithumb, Flyer, OkEx, and CEX. The chart also has two Exponential Moving Averages (9-candle EMA & 21-candle EMA) added onto the volume pane to better understand relative volume. Thank you Julio and Mitch for this indicator
Advanced Volume ProfileTHIS SCRIPT CURRENTLY ONLY WORKS FOR ASSETS THAT TRADE 24/7 OR CBOE FUTURES HOURS!
This script plots volume relative to an asset's historical volume profile.
Usage:
As a companion to my "Unusual Time Frame Volume" (UTF Volume) script, this plots volume against the same historical volume profile used for UTF Volume.
The same high volume (relative to historical) threshold alert is available (yellow bar).
Likewise, if the volume exceeds the historical threshold, but is below the alert threshold, the bar color is orange.
At the top of the chart is an indicator which is green if a bar has higher volume than the previous bar.
You can also set a threshold for this such that if the volume of a bar exceeds the previous bar by a certain multiplier which will turn the indicator yellow.
For example, if the threshold is set to "1.5", then the indicator will be yellow (instead of green) on an increase in volume over the previous bar of 1.5x.
NOTES:
Again, this script currently only works for assets that trade 24/7 or CBOE Futures hours!
Make sure you set the "Asset Mode" and "Time Frame (minutes)" to values that match your asset and chart setting.
For example, if you are trading Futures on a 2m chart, set the Asset Mode to Futures and Time Frame to 2m.
If you are trading crypto on a 5m chart, set the Asset Mode to 24/7 and Time Frame to 5m.
If the settings are not set appropriately, the output will be incorrect/invalid.
If you choose a "Look-back (Days)" setting that is too far back given the time frame, the script will produce an error.
I suggest playing with settings from "1" (compares volume to the previous day's volume) to the highest number that doesn't break the script.
For example, at a 2m time frame, the maximum look-back will be "6" or "7" depending on which mode you are using.
Longer chart time settings allow larger look-back values.
I find that the default value ("6") does a decent job in general.
Please feel free to reuse or further develop this script.
I would greatly appreciate it if you would send me a message below if you find it useful.
Advanced VolumeThis simple indicator improves upon the built in volume indicator by adding the following:
-Option to use an EMA instead of SMA
-Advanced Coloring: Lighter bars show growing volume, darker bars show falling volume. Gray bars show very low relative volume (less than or equal to 50% of the moving average), while bars which have a highlighted background have a high relative volume( you can choose the threshold level, default is 2 times the RVOL).
Enjoy!
Volume Profile / Fixed RangeHello All,
This script calculates and shows Volume Profile for the fixed range . Recently we have box.new() feature in Pine Language and it's used in this script as an example. Thanks to Pine Team and Tradingview!..
Sell/Buy volumes are calculated approximately!.
Options:
"Number of Bars" : Number of the bars that volume profile will be calculated/shown
"Row Size" : Number of the Rows
"Value Area Volume % " : the percent for Value Area
and there are other options for coloring and POC line style
Enjoy!
Volume Level with AlertThis script is made by Bollinger Bands and Volume , BB is using customize setting to filter the surge volume.
Good to use in Cryptocurrency
When Volume Breakout and price is drop, chance to collect at lower price
Try to find out Price * Volume Divergence , a best entry point with low risk
Volume per PointHello everyone <3
I present to you guys my new indicator Volume per Point (VP)
As suggested by the title, this script gives you the volume for every point.
Here's a run down on specific features:
SUBCHART COLUMNS:
The columns can be the following four colors:
Green - There was an increase in VP
Red - There was a decrease in VP
Yellow - There was divergence between volume and candle range
Purple - There are signs of exhaustion compared to the previous candlestick
SUBCHART HISTOGRAM:
The histogram can be the following two colors:
Lime - Buying volume
Red - Selling volume
I left you guys the ability to change the multiplier on the volume in settings just incase it's too small or too big compared to the VP. Decimals are allowed!
CANDLESTICK CHART:
The candlesticks can the following two colors:
Yellow - There was a divergence between volume and candle range
Purple - There are signs of exhaustion compared to the previous candlestick
FILTERS
In the settings, you're able to add the following two filters:
RSI Filters - RSI must be below or above the specified value for the divergence or exhaustion to trigger
Percent Filters - The candlestick range or volume must be higher or lower than the specified value depending whether it's divergence or exhaustion.
This is a very helpful tool if you're interesting in reading volume. It also facilitates finding market maker activity depending on the size of the VP. Sudden abnormal spikes in VP usually do signal something and that's up for you to figure out :)
Thank you for your time to read this
~July <3
HMA VolumeVolume smoothed by Hull Moving Average . Basic, so not much to say really.
It has a multi timeframe function, so you can for example, look at the hourly volume, on the 15 minute chart, or whichever timeframe combo you choose.
Use it to see volumes trend is increasing or decreasing
BankNifty Volume Indicator
KEY TAKEAWAYS
- Uses BankNifty Index Stocks Volume.
- BankNifty Volume Indicator is created by adding all BankNifty Stocks Volume together.
- BankNifty Volume will be an important indicator in BankNifty Index technical analysis because it is used to measure the relative significance of a market move.
- The higher the volume during a Banknifty index price move, the more significant the move and the lower the volume during a Banknifty index price move, the less significant the move.
- Moving Average is also added.
NSE:BANKNIFTY
Volume Positive Negative (VPN)The idea and calculations for the Volume Positive Negative (VPN) indicator were created by Markos Katsanos. Markos wrote about the indicator in the article Detecting High-Volume Breakouts, published in Technical Analysis of Stocks & Commodities April, 2021 (Vol. 39, Issue 5).
The goal of the VPN indicator is to detect breakouts using only volume. The basic idea is to compare volume on up days versus volume on down days. The indicator can oscillate between the range of -100 and 100. Values between 0 and 20 are generally considered bullish, negative are bearish.
When the plotted VPN crosses over what Markos refers to as the critical value, that may indicate a high volume breakout. The critical value can be adjusted between 0 to 20, 10 is the default,
Volume Positive Negative Calculation (VPN)
VPN = (VP - VN) / MAV / Period * 100
VP - sum of positive volume
VN - sum of negative volume
MAV - moving average of volume
Volume is considered positive when the average price is higher than the previous day's price by more than .1 of the ATR (average true range).
ETS Prox Cumulative Volume Delta BBThis script is based on the work originally done by kprsa for the Monster Cumulative Delta indicator, but adds Bollinger Bands and upgrades it to version 4 from version 1.
It is an approximation of the Cumulative Delta Volume that is usually based on volume differences between market and limit orders, but because that data is not available, this indicator allocates a portion of the volume of a candle to the "upward" and "downward force" of each candle.
The upward force of a "Buy" candle is calculated by the High-Low
The downward force is calculated by (High-Close)+(Open-Low)
"Sell" candles are calculated in the same way just opposite
Total force=up force + down force
Up volume approximation = candle volume * up force/total force
Down volume approximation = candle volume * down force/total force
The result is similar to OBV, but not exactly the same, and allows for a "candle size" which you can't get with On Balance Volume.
I had never used a Cumulative Delta Volume indicator before, but when I started using it myself, it proved very effective when there was a deviation from price. It was also very effective in my opinion when Bollinger Bands was added to assess the standard deviation of the CDV compared to the Bollinger Band of price and looking for areas where the CDV reaction to hitting or getting close to the BB was different.
I hope you find it useful! Of course, it comes with no guarantee of profits or any investing advice whatsoever.
Vision VolumeAfter reading an article on how to trade volume I felt that I needed some kind of indicator using price action and volume together.
More precisely I tried to build two indicators. Bear in mind this indactor is very simple because it only evaluates each bar with its previous bar and an average.
Nr.1 Weak/fake push: Price suddenly goes up/down a lot more but without much volume being traded -> sign of a fake move or low interest
Nr 2 Price action resistance: After an up or down move price suddenly stops moving but high volumes are being traded. This means high resistance from sellers in a rally or buyers in a decline.
This is very simple and as you can see it is often not a clear signal. I will try to improve it further. If a fake move bar (purple) has a close near its new high we don't know if the fake push will continue. As you can see on the chart. some reversal signs come a little to early.
You can re-color labels and turn them off optionally.
This is built for educational purposes only. I hope you find it useful.
Design by Hook
Volume DensitySince we don't have tick count per time interval, let's do it this way. Basically "bigger the move bigger the volume" rule applies in most times, making volume alone kinda useless. What is more interesting, is when there was a huge volume within a relatively small range, or vice versa, a huge move without equally increased volume.
Without diving into details, bars with low volatility and serious volume are aprox. areas of possible future reversals/pullbacks, while volumeless high volatility moves should not cause any serious stops in price action.
This is just a small easy script to highlight this process. "Mathematically speaking, it's just a reciprocal of quotient of awfewefaffwqg..... Nah, not this time.
HOW IT WORKS:
Volume Density = 1/(range/volume)
We take range of a bar (high minus low), divide it by volume of the same bar, in order to neutralize this "bigger-bigger" relationship. Then we memorize this number, take 1 and divide 1 by this number, in order to inverse the result. So now, small bars with big volume will be rated higher than just by using classic volume histogram.
I suppose it would be easy to use it along with classic volume histogram, and assess the differences between these 2 histograms.
///
Probs some1 has already posted smth like this before idk, but if it aint the case, here it is, for you.
Pre-Market Volume ProfileThis indicator displays the pre-market volume (note: without the post-market of the previous day).
Unusual pre-market volume often indicates that institutional market makers are moving the market, which is a good sign for unusual high price movement.
The indicator helps me to spot stocks, if a pre-market gap is confirmed with enough (unusual) volume.
You can define, what "unusual" means by you, by adjusting the SMA length and the SMA multiplier.
The default is a length of 21 bars and a 2.5 multiplier, meaning I'm interested in a stock, if the pre-market volume exceeds the average pre-market volume by 2.5 times.
