What is a bar? In the context of price data I mean, not in the context of booze and bouncers.
Wikipedia is no help at all.
Thankfully, there is Investopedia:
"Definition of 'Bar'
A graphical representation of a stock's movement that usually contains the open, high, low and closing prices for a set period of time.
For example, if a technical trader is working with daily data, one bar is the set of quotes for one day. In the case of one-minute data, it is the price data for one minute."
In short, a bar is an attempt to summarize price activity over a time span by reducing said activity to 4 key data points: the first price, the last price and the extrema.
The problem is that a bar is a semi-ordered data set that gives the illusion of full information. We know our starting point and our ending point but the only things we know that happened inbetween is that a given high was reached and a given low was reached. As to times or even order (did the low precede the high or vice versa?), we are completely in the dark in the vast majority of bars.
It has been my experience that the TA that works will most often resemble time-series analysis, where there is no question as to the order or the times of all the data points. There is no guesswork about the data in a true time series.
So mixing time-series analysis with bar analysis as some TA methodologies do will typically lead to inferior results IMO. Time series analysis is not designed to deal effectively with semi-ordered data sets, and jamming these two different constructs together either leads to failure or a new type of analysis that is rare or nonexistent in technical analysis today.
Constructive feedback welcome.
Wikipedia is no help at all.
Thankfully, there is Investopedia:
"Definition of 'Bar'
A graphical representation of a stock's movement that usually contains the open, high, low and closing prices for a set period of time.
For example, if a technical trader is working with daily data, one bar is the set of quotes for one day. In the case of one-minute data, it is the price data for one minute."
In short, a bar is an attempt to summarize price activity over a time span by reducing said activity to 4 key data points: the first price, the last price and the extrema.
The problem is that a bar is a semi-ordered data set that gives the illusion of full information. We know our starting point and our ending point but the only things we know that happened inbetween is that a given high was reached and a given low was reached. As to times or even order (did the low precede the high or vice versa?), we are completely in the dark in the vast majority of bars.
It has been my experience that the TA that works will most often resemble time-series analysis, where there is no question as to the order or the times of all the data points. There is no guesswork about the data in a true time series.
So mixing time-series analysis with bar analysis as some TA methodologies do will typically lead to inferior results IMO. Time series analysis is not designed to deal effectively with semi-ordered data sets, and jamming these two different constructs together either leads to failure or a new type of analysis that is rare or nonexistent in technical analysis today.
Constructive feedback welcome.
