Torben BandsExtending the Works of Torben Mogensen, on Torben Median
Median Filtering is an important technique !
The median filter is a non-linear digital filtering technique, often used to remove noise from an image or signal. Such noise reduction is a typical pre-processing step to improve the results of later processing (for example, edge detection on an image). Median filtering is very widely used in digital image processing because, under certain conditions, it preserves edges while removing noise (but see the discussion below), also having applications in signal processing.
How its made?
Torben Medians of high and low of period of 21 are combined with ATR adjustments and plotted over the price
Enjoy!
Torben
Torben Median Evolved OscillatorExtending the Works of Torben Mogensen, on Torben Median
Median Filtering is an important technique !
The median filter is a non-linear digital filtering technique, often used to remove noise from an image or signal. Such noise reduction is a typical pre-processing step to improve the results of later processing (for example, edge detection on an image). Median filtering is very widely used in digital image processing because, under certain conditions, it preserves edges while removing noise (but see the discussion below), also having applications in signal processing.
Have taken two T-Medians
#1 of Length 13
#2 of Length 55
The Indicator plots the Relationship projection of Medians with the Closing Price as an Area Chart
Provision for Alerts
You get
> Green T-Median Alert
> Red T-Median Alert
Enjoy!
Torben Moving MedianThis method was pointed it out by Torben Mogensen.
It is certainly not the fastest way of finding a median, but it has the very interesting property that it does not modify the input array when looking for the median. It becomes extremely powerful when the number of elements to consider starts to be large, and copying the input array may cause enormous overheads. For read-only input sets of several hundred megabytes in size, it is the solution of choice, also because it accesses elements sequentially and not randomly. Beware that it needs to read the array several times though: a first pass is only looking for min and max values, further passes go through the array and come out with the median in little more time. The number of iterations is probably O(log(n)), although I have no demonstration of that fact.
What is Median Filtering
Median filtering is a commonly used technique in signal processing. Typically used on signals that may contain outliers skewing the usual statistical estimators, it is usually considered too expensive to be implemented in real-time or CPU-intensive applications.
Let us define the median of N numerical values by:
The median of a list of N values is found by sorting the input array in increasing order, and taking the middle value.
The median of a list of N values has the property that in the list there are as many greater as smaller values than this element.
How To trade
Trading is quite intuitive
Buy when the Price breaks-out the price which breaked the Torben Moving Median
