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High/Low VolumeIn this indicator, I show you a better way to define high/low values of volume (or any other indicator).
Quite often, I get requests from my clients that an indicator level should be “high” or that it should be above a certain absolute level.
The first request is hard to interpret mathematically, but traders can easily spot it on the chart. The second one is not flexible, and it might not make sense in another market regime.
To solve that, you can compute dynamic high/low levels that represent unexpected extreme values that are adaptable to recent conditions.
There are two pretty simple methods I’m using quite often in my scripts percentiles and sigma (standard deviations).
Percentile looks back at X bars and computes the value under which a certain % of data points are located. So, for example, if we’re computing 90%tile and we’re looking at 100 bars, we’ll get a value under which we have values of precisely 90 bars for this indicator. It’s a good idea to use something like 5%tile for low level and 95%tile for high level.
Sigma(σ) is related to standard deviation. If we assume that our data is normally distributed, then 68% of data points should be in the range of mean +-1σ, 95% → mean +-2σ. So we can assume that something above 2σ is a pretty rare and extreme event.
In this script, I give you an example of how to compute both on volume, but you can easily change this to another indicator.
The issue with volume is that it’s not normally distributed, and your low level will be quite often too low to detect any low levels. Ideally, we have to use a more sophisticated formula that fits volume distribution better.
In this indicator, you can set the following parameters:
Choose type: Percentile or Sigma
Lookback Period
High/Low Percentiles
Sigmas #
You can also receive alerts for high/low volume events.
Disclaimer
Please remember that past performance may not indicate future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice. Indicator
[potatoshop] Volume Profile lower timeframeThis script is a volume profile that displays the volume of transactions in price blocks over a recent period of time.
For a more detailed representation, OHCLV values on the time frame lower than the time zone on the chart were called and expressed.
Low time frames are adjustable.
You can adjust the number of blocks and the most recent time period that you want to view.
Although it cannot be compared to the volume indicators provided for paid users of Trading-View, it has functioned by displaying transactions that are difficult to find on open source.
Displays the amount traded in each block and the percentage of the total over a given period.
POC represents the middle value of the block with the highest transaction volume as a line.
TPOC represents the block that stayed the longest regardless of the volume of transaction.
The reversal line appears when you determine the trading advantage of the rising and falling closing on a block basis and then have a different value from the neighboring blocks.
(I didn't mean it much, but I just put it in for fun.)
It represents the total volume of transactions traded in each block, and there are also check boxes in the settings window that represent the volume of transactions that closed higher and closed lower.
You can specify the color of each block.
The highest and lowest values for the set period and the total sum of each block are displayed at the bottom of the box.
Because it was made using a lot of arrays, the total transaction volume was marked separately to check the value.
When expressing the price block according to the trading volume percentage, it was a pity that the minimum pixel was 1 bar, so it could not be expressed delicately.
Although set to bar_time in Box properties xloc, 1 bar was actually the minimum unit of the X-axis value.
The logic used to place the transaction volume for each block is as follows.
1. Divide the difference between the high and low values of 1 LTF bar by the transaction volume .
2. Find the percentage of this LTF bar within each block.
3. Multiply the ratio by the transaction volume again.
4. Store the value in each block cell.
Below are the codes of the people I referred to this time.
1. ‘Time & volume point of control (TPOC & VPOC)’ by quantifytools
2. ‘Volume Profile ’ by LuxAlgo
3. ‘Volume Profile and Volume Indicator by DGT’ by dgtrd
The script is for informational and educational purposes only.
이 스크립트는 최근 일정 기간동안의 거래량을 가격 블록단위로 표시해 주는 볼륨 프로화일입니다.
좀 더 자세한 표현을 위해 차트상의 시간대보다 낮은 시간 프레임상의 OHCLV 값들을 호출하여 표현하였습니다.
낮은 시간 프레임은 조절 가능합니다..
보고 싶은 최근 일정 기간과 블럭 갯수를 조절할 수 있습니다.
트뷰 유료 사용자들을 위해 제공하는 지표와는 비교할 수는 없지만, 오픈 소스상에서는 찾기 힘든 거래량을 표시해 기능을 넣었습니다.
각 블럭에서 거래되었던 양 과 주어진 기간 동안의 총량 대비 퍼센트를 표시해 줍니다.
POC는 거래량이 가장 많았던 블럭의 중간값을 라인으로 표현해 줍니다.
TPOC는 거래량에 상관없이 가장 오랜 시간 머물렸던 블럭을 표현해 줍니다.
반전선은 블럭 단위로 상승 마감과 하락 마감의 거래량 우세를 결정한 뒤, 이웃 블럭들하고 다른 값을 가질 때 나타납니다.
(어떤 뜻을 갖고 만든 건 아니고 그냥 재미로 넣어 보았습니다.)
각 블럭에서 거래되었던 총거래량을 표현해 주며, 또한 설정창에서 상승 마감한 거래량과 하락 마감한 거래량을 표현하는 체크 박스가 있습니다.
각 블럭의 색깔을 지정하실 수 있습니다.
설정된 기간 동안의 최고값과 최저값, 각 블럭을 합친 총량을 박스 하단에 표시해 두었습니다.
어레이를 많이 사용하여 만들었기 때문에 값의 확인을 위해 전체 거래량을 따로 표시하였습니다.
가격 블럭을 거래량 퍼센트에 따라 표현할 때, 최소 픽셀이 1bar 이어서 섬세하게 표현 할 수 없어 안타까웠습니다.
박스 속성을 xloc.bar_time 로 설정하였지만 실제로는 1 bar가 X축 값의 최소 단위였습니다.
각 블록 별로 거래량을 배치 할 때 쓰인 로직은 다음과 같습니다.
1. 1 LTF bar의 하이 와 로우 값의 차이를 거래량으로 나누어 줍니다.
2. 각 블록 안에서 이 LTF bar가 차지 하는 비율을 구합니다.
3. 그 비율에 다시 거래량을 곱해 줍니다.
4. 그 값을 각 블록 셀에 저장해 줍니다.
밑에 제가 이번에 참고한 분들의 코드들입니다.
1. ‘Time & volume point of control (TPOC & VPOC)’ by quantifytools
2. ‘Volume Profile ’ by LuxAlgo
3. ‘Volume Profile and Volume Indicator by DGT’ by dgtrd Indicator
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Outliers Detector with N-Sigma Confidence Intervals (TG fork)Display outliers in either value change, volume or volume change that significantly deviate from the past.
This uses the standard deviation calculation and the n-sigmas statistical rule of significance, with 2-sigma (a value of 2) signifying that the observed value is stronger than 95% of past values, and 3-sigma 98.5% of past values, and so on for higher sigma values.
Outliers in price action or in volume can indicate a strong support for the move, and hence potentially more moves in the same direction in the future. Inversely, an insignificant move is less likely to be supported. And of course the stronger, the more support.
This indicator also doubles as a standard volume indicator if volume is selected as the source, but with the option of highlighting outliers.
Bars below significance can be uncolored (gray) to unclutter the visuals.
Differently to almost all other similar indicators, the background highlighting is dynamical, so that all values will be highlighted differently, not just 2-sigma or 3-sigma, but also 4-sigma, 5-sigma, etc, with a different value of transparency.
The dynamical transparency value can be calculated in two ways: either statically proportionally to the n-sigma but capped at 10-sigma, or either as a ratio relative to the highest observed sigma value over the defined lookback period (default: 300).
If you like this indicator, which is an extension of previously published indicators, please give some love to the original authors:
* tvjvzl :
* vnhilton :
This extension, authored by Tartigradia, extends tvjvzl's indi, implements vnhilton's idea of highlighting the background, and go further by adding dynamical background highlighting for any value of sigma, add support for volume and volume change (VolumeDiff) as inputs, add option to uncolor insignificant bars, allow plotting in both directions and more. Indicator
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REVE MarkersREVE stands for ‘Range Extensions Volume Expansions’. It seeks to report the same as the REVE which I published before. However the code uses a different algorithm to find the ‘usual range’ or ‘usual volume’ to which the current range and volume is compared. In the old REVE a function is coded which mimics a median() function..
In this code the median() function provided in pinescript is used, which makes the code of the actual algorithm nice and short in lines 21 through 27
For example line 23: “morevol=ta.median(curvol , usual)*eventnorm” in which
‘morevol ‘ is the calculated level above which the volume is deemed considerable,
‘curvol’ is the current volume (see line 21); curvol the volume of the previous period.
‘usual’ is the lookback period (see line 8)
‘ta.median(curvol , usual)’ is therfore the median volume in the lookback period
‘eventnorm’ is the percent which sets when “normal” becomes “considerable” (see line 6)
In line 26 the same is done for range.
The code in lines 30 to 92, concern logic manipulations to arrive at choosing the appropriate marker, which are plotted in lines 95 through 136.
Using the shapes as provided by Pinescript offers the possibility to give a much better and more meaningful visualization of volume and range events than different colored columns and histograms in the ‘old’ REVE in the below panel (see example chart).
Using the Pinescript function to find the median opens the possibility of letting the user play in the inputs with the lookback period and the norms for considerable and excessive to find a setting he or she likes most.
Using median in stead of average is necessary in volume and range analysis because these are so volatile. E.g. range or volume can be 10 times larger in the next period! If you have a few excessive volumes or ranges in the lookback period the ‘average volume or range’ is much higher than the ‘usual volume or range’ In statistics this is referred to as the outlier problem.
The markers are located on the bottom of the instrument pane. Those indicating volume events (with ‘event’ I mean a considerable or excessive expansion or extension) are colored triangles or squares, triangles indicate direction, squares that the price stays the same. those indicating range events with ‘normal’ volume are crosses, plus-cross means considerable range event and x-cross is excessive event.
The red, fuchsia and maroon triangles and squares indicate a combination of volume and range events. I call this ‘effective volume’ because more trade leads to shifting prices. The green and blue triangles and squares indicate a volume event with ‘normal’ ranges. I call this ‘ineffective volume’ because more volume does not lead to price shits. Effective volume can be attributed to occasional traders, because these do not care much for the price effect of their orders. The ineffective volume is attributable to institutional traders, because these go to great length to hide the size of their selling or buying objective by trading many small amounts in a day. Therefore one can theorize that ‘smart money’ is active when green and blue markers show up.
There is an option in the inputs to show markers around the candles (or bars). Those above indicate volume events, plus-cross for considerable and x-cross for excessive volume.
Those below the candles (or bars) indicate range events, triangles for direction or a plus-cross when the price stays the same. The small ones indicate considerable range events and the big ones excessive range events. This option can be used for better understanding of the colors of the bottom markers or to check which marker applies to which candle or bar.
If the instrument is without volume, the indicator will show only range markers.
Have fun and take care.
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