Aggregated Volume with ColorsBITSTAMP:BTCUSD
This indicator aggregates trading volume data of up to 10 symbols and can display the individual data by color.
It is useful for assets which are traded on multiple exchanges, like cryptocurrencies, commodities, forex and derivatives showing you what is happening across the market and on the individual exchanges to give you beter insights.
You can change the symbols from which the indicator gathers data in the settings under inputs, just like the colors, and you can add a moving average.
By default trading volume is aggregated from the following symbols:
Binance, BTC /USDT
Binance, BTC /BUSD
Bingbon, BTC /USD
Huobi, BTC /USDT
OkeX, BTC /USDT
Coinbase, BTC /USD
Bitfinex, BTC /USD
Gemini, BTC /USD
Kraken, XBT/USD
Bitstamp, BTC /USD
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SVA - Simple Volume Analyzer, by BlueJayBird [bjb] ENGLISH & SPANISH
------------------------------------- ENSLIGH
The idea was initially inspired in the concepts shared by @LazyBear on his indicator "Better Volume Indicator" (). But I found it somewhat complicated and dull. So I came up with this.
Concept:
It changes the color of volume bars based on surrounding volume changes.
Volume changes are plotted as volume MAs lines in the volume pane.
Whenever the volume is higher than these MAs, the bar changes color.
For this reason, the bar color change is RELATIVE TO the surroundings, because the color change depends on how far the MA has been extended due to sudden (or not) changes in the volume.
BAR COLORS:
Weak Green and Red: Low volume. The calm before or after the storm.
Normal Green and Red: Mid volume. Still low volume, you may get bored.
Yellow: High volume. Players are playing hard and harder.
White: Ultra-High Volume. The elephants stepped in.
NOTES:
SVA works better at lower timeframes. Though as far as I can tell, it works pretty well as far as 1D timeframe.
------------------------------------- SPANISH
La idea estuvo inicialmente inspirada en los conceptos expuestos por @LazyBear en su indicador "Better Volume Indicator" (). Pero lo encontré un poco complicado y falto de claridad. Así que me inventé este.
Conceptp:
Cambia el color de las barras basándose en los últimos cambios de volumen.
Los cambios de volumen son ploteados como lineas de medias móviles (MAs, es decir "Moving Averages") en la sección del volumen (chart pane).
En cualquier momento que el volumen es mayor que estos MAs, el color de las barras cambia.
Por esta razon, el cambio de color de las barras es RELATIVO a lo que está sucediendo alrededor, ya que el cambio de color depende de qué tan lejos el MA se haya extendido por causa de los últimos cambios (o no) de volumen.
BAR COLORS:
Verde y rojo apagados: Volumen bajo (Low Volume). La calma antes de la tormenta.
Verde y rojo normales: Volumen medio (Mid volume). Volumen todavía bajo. Es posible que te aburras.
Amarillo: Volumen alto (High Volume). Los jugadores están jugando duro.
Blanco: Volumen ultra-alto (Ultra-High Volume). Los elefantes entran a la cancha.
NOTAS:
SVA funciona mejor en temporalidades menores. Pero por lo que he visto, funciona bien hasta la temporalidad de 1D.
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Kifier's ALT-COIN Failed Volume PressureGeneral Idea:
The basic idea is really simple - to detect during a bull-run, good mid-run entries or even predicting the start of a run, and the overcoming of the sell pressure, and I got this idea very naturally while looking back at my entries with ADA 6 months back. The indicator simply detects for you and alerts where volume reaches high reds but the actual price of the asset does not close lower than the previous open. This essentially shows a rejection of the selling pressure, and usually if either in a stagnant or bullish trend will just result in a bullish trend. It’s also great to detect entries into a bull-run mid way, which can happen quite often with cryptos. Due to the reliance of volume in this one, it’s probably best to stick with mid to low cap alt-coins, as BTC and even ETH at this point have a more complicated price action trends.
Usage:
It’s built ideally for long-term timeframes, so 1D is the minimum in my opinion, and it should be used in combination with other indicators to confirm entries and market conditions, plus fundamental analysis is VERY important when it comes to trading with volume as a leading indicator in lower cap alt-coins.
Structure:
The blue line is an average of the volume over a period while the yellow is the current volume, this makes it easy when a volume anomaly occurs and essentially a massive sell-off.
The green/red lines at the bottom unimaginatively is just a simple trend indicator based of two EMAs.
I also want to attempt to make a version for smaller time-frames as well, which needs to also account for market noise and a better trend detection but that’s for a future time.
It’d be great to hear feedback and even ideas on beneficial changes!
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KINSKI Volume Regression TrendRegression trends are typically used to determine when a price is unusually far from its baseline. The script calculates the linear regression of volume and price to determine the trend direction and strength. This can be used to determine the volume support for upward/downward trends.
As a special feature, this indicator allows you to choose from three (as of 07/20/2021) templates with special presets.
The following templates are available:
"Precise" (Period: 4, Smoothing Factor Type: "DISABLED", Smoothing Factor Length = 1).
"Smooth" (Period: 4, Smoothing Factor Type: "RMA", Smoothing Factor Length = 2)
"Long Term (Period: 20, Smoothing Factor Type: "DISABLED", Smoothing Factor Length = 1)
In the selection for templates, the option "DISABLED" can also be selected. Then the user-defined settings selectable under it take effect. There are the following setting options.
"Length": Adjustable period
"Smoothing Factor: Type": Type of moving average
"Smoothing Factor: Length": Adjustable period
Other setting options are:
Color codes: The color codes are explained in the settings
Display types: "Columns", "Histogram", "Area", "Line", "Stepline"
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DAYOFWEEK performance1 -Objective
"What is the ''best'' day to trade .. Monday, Tuesday...."
This script aims to determine if there are different results depending on the day of the week.
The way it works is by dividing data by day of the week (Monday, Tuesday, Wednesday ... ) and perform calculations for each day of the week.
1 - Objective
2 - Features
3 - How to use (Examples)
4 - Inputs
5 - Limitations
6 - Notes
7 - Final Tooughs
2 - Features
AVG OPEN-CLOSE
Calculate de Percentage change from day open to close
Green % (O-C)
Percentage of days green (open to close)
Average Change
Absolute day change (O-C)
AVG PrevD. Close-Close
Percentage change from the previous day close to the day of the week close
(Example: Monday (C-C) = Friday Close to Monday close
Tuesday (C-C) = Monday C. to Tuesday C.
Green % (C1-C)
Percentage of days green (open to close)
AVG Volume
Day of the week Average Volume
Notes:
*Mon(Nº) - Nº = Number days is currently calculated
Example: Monday (12) calculation based on the last 12 Mondays. Note: Discrepancies in numbers example Monday (12) - Friday (11) depend on the initial/end date or the market was closed (Holidays).
3 - How to use (Examples)
For the following example, NASDAQ:AAPL from 1 Jan 21 to 1 Jul 21 the results are following.
The highest probability of a Close being higher than the Open is Monday with 52.17 % and the Lowest Tuesday with 38.46 %. Meaning that there's a higher chance (for NASDAQ:AAPL ) of closing at a higher value on Monday while the highest chance of closing is lower is Tuesday. With an average gain on Tuesday of 0.21%
Long - The best day to buy (long) at open (on average) is Monday with a 52.2% probability of closing higher
Short - The best day to sell (short) at open (on average) is Tuesday with a 38.5% probability of closing higher (better chance of closing lower)
Since the values change from ticker to ticker, there is a substantial change in the percentages and days of the week. For example let's compare the previous example ( NASDAQ:AAPL ) to NYSE:GM (same settings)
For the same period, there is a substantial difference where there is a 62.5% probability Friday to close higher than the open, while Tuesday there is only a 28% probability.
With an average gain of 0.59% on Friday and an average loss of -0.34%
Also, the size of the table (number of days ) depends if the ticker is traded or not on that day as an example COINBASE:BTCUSD
4 - Inputs
DATE RANGE
Initial Date - Date from which the script will start the calculation.
End Date - Date to which the script will calculate.
TABLE SETTINGS
Text Color - Color of the displayed text
Cell Color - Background color of table cells
Header Color - Color of the column and row names
Table Location - Change the position where the table is located.
Table Size - Changes text size and by consequence the size of the table
5 - LIMITATIONS
The code determines average values based on the stored data, therefore, the range (Initial data) is limited to the first bar time.
As a consequence the lower the timeframe the shorter the initial date can be and fewer weeks can be calculated. To warn about this limitation there's a warning text that appears in case the initial date exceeds the bar limit.
Example with initial date 1 Jan 2021 and end date 18 Jul 2021 in 5m and 10 m timeframe:
6 - Notes and Disclosers
The script can be moved around to a new pane if need. -> Object Tree > Right Click Script > Move To > New pane
The code has not been tested in higher subscriptions tiers that allow for more bars and as a consequence more data, but as far I can tell, it should work without problems and should be in fact better at lower timeframes since it allows more weeks.
The values displayed represent previous data and at no point is guaranteed future values
7 - Final Tooughs
This script was quite fun to work on since it analysis behavioral patterns (since from an abstract point a Tuesday is no different than a Thursday), but after analyzing multiple tickers there are some days that tend to close higher than the open.
PS: If you find any mistake ex: code/misspelling please comment.
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Weighted Harrell-Davis Quantile Estimator with AbsoluteDeviation
QUANTILE ESTIMATORS
Weighted Harrell-Davis Quantile Estimator with Absolute Deviation Fences.
DISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The following indicator was made for NON LUCRATIVE ACTIVITIES and must remain as is, following TradingView's regulations. Use of indicator and their code are published for work and knowledge sharing. All access granted over it, their use, copy or re-use should mention authorship(s) and origin(s).
WARNING NOTICE!
THE INCLUDED FUNCTION MUST BE CONSIDERED FOR TESTING. The models included in the indicator have been taken from open sources on the web and some of them has been modified by the author, problems could occur at diverse data sceneries, compiler version, or any other externality.
Purpose:
Weighted Quantiles or <> are quite difficult to find on must systems, also it's non-weighted approach are rarely used to estimate the location parameter of price distribution WICH IS NOT NORMAL, all this in favour of it's non-robust counterpart, the Arithmetic rolling Mean or <> and it's weighted variants like the WMA, VWAP, etc.
Also, a big drawback from this is that must statistics derived from Normal-Distribution parameter location (the Mean) definitely will not fit for an efficient, nor robust estimation for price distributions, so their moments like the standard deviation, kurtosis, skewness, etc. will not be the better tools to build derived algorithms or technical indicators among price/volume.
In an effort searching better statistical tools for price distributions, I found the excellent work of Andrey Akinshin that took me to port some of their Math research contributions for the compute benchmarking field , and bring it here at the TradingView ecosystem to take a shot at the price distribution crazy fields. For a better detail of what the weighted Harrell-Davis Quantile Estimator can do, who better than drink directly from the source at References:
References:
Weighted Quantile Estimators.
DoubleMAD outlier detector based on the Harrell-Davis quantile estimator.
Unbiased median absolute deviation based on the Harrell-Davis quantile estimator.
Quantile confidence intervals for weighted samples.
Licensing:
This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International Copyright (c) 2021 (CC BY-NC-SA 4.0)
Copyright's & Mentions:
The Gamma Functions & Beta Probability Density Functions C# implementations by the Math.NET Numerics, part of the Math.NET Project.
The Regularized Incomplete (Left) Beta Function C# implementation by the SAMTools, htslib project.
The Weighted Harrell-Davis Quantile estimator ; C# & R implementations by Andrey Akinshin.
External PineScript code, methods, support & consultancy by @PineCoders staff with special mention for:
+ "ma sorter ('sort by array' example)- JD" by @Duyck.
+ Porting, mods, compilation and debugging for this script by @XeL_Arjona for the TradingView's @PineCoders community.
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Volume Play This is going to be my first published indicator on Trading View. Thanks for TradingView for providing us this great platform And thanks for all of those who helps me to built this indicator and share there ideas.I cannot mention everyone name here believe me that list going to be huge.Everyone’s idea and help is much appreciated.This is how our TradingView community is growing day by day with kindness and knowledge. Every time I take so much from community in form knowledge that every time somewhere I feel that I also need to do something for community and finally day arrived .A gift from my side to community.A gift of indicator-VOLUME PLAY
This volume based indicator has High Relative Volume bar Background, Low Relative Volume bar background ,Volume Labels of Buying volume, Selling volume and Total volume count with percentage, Highest Volume in Percentage and Highest 5x volume count and 10x volume count of bar.Plus I have did column scaling to take Down pan input so you can switch pane or add in existing pane without any major problem And all this works on any time frame. Isn’t it good idea?
This indicator displays the volume of each session in a similar manner of the default volume indicator.However it add on the last bar Green and Red bar colours. Green means buying is more than selling and Red means selling is more than buying.On top of Some bar If number appears That means that’s volume is highest multiple volume of 5 and if number appears with label means highest multiple volume of 10.So simple without label volume counts means 5x and with label means 10x.
Now some of bars has background colour of Mint green , Pastel red and White.That’s highlight high relative volume bars with a highly buying activity range in Green and high relative volume bars with a highly selling activity range in Red And white background is low relative volume for that timeframe bar.
I am kind of person who don’t keep show indicator value enable all time.So it’s come in mind why not plot this values without enabling it.So I decided to show this values of buying, selling and total volumes on top near middle pane.Interesting thing is that I made a label with the help of pine script Table feature.Thanks a lot to Pine Team to add this new great feature! It’s great alternative for labels feature.Because of this feature I am able to locate buying, selling and total volume at right place where in most of scenario it will adjust.
Please note that all values are estimate.It’s not accurate.I show volumes in K,M form.Plus with volume I also try to show Buying And Selling volume in percentage form to get rough idea about what’s going on in instrument.Idea is to get better view of volume by splitting it into Buying , Selling and Total volume.This allows you to see are the bulls or bears in-control in relation to the overall Volume.
By default this indicator overlay is false but you can move this indicator pane to existing upper or lower pane.It will help to save space as well.If combine with two indicator at same pane then it will create two value scale at right side.So you will not loose any indicators values.By default I used 50% of vertical space in indicator scale factor.
I tried to make this indicator as accurate as inbuilt volume indicator with added extra feature.The main aim of indicator to get Idea of volume role in that symbol with that specific timeframe.Result might not be accurate but I expect somewhat nearby to accurate.
Kept source code open purposely for learners of pine script. Please avoid misuse or selling of this indicator.Remember Sharing Is Caring. If someone has suggestions or any addition then please comment below.Wishing you all abundance of health, wealth, and prosperity.
After all its all about VOLUME PLAY.
Disclaimer:-This indicator is not meant for buy or sell signals.This post and the script don’t provide any financial advice. This indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
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