All language subtitles for 1. What is Volume Profile
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The volume profile is a variant of the
market profile, a tool designed by J.
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Peter Steitelmeyer in 1985 for the
Chicago Board of Trade, CBOT.
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Steitelmeyer was a trader and executive
member of this major futures and options
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market for more than 40 years.
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This new method of auction
representation was initially intended
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members, although it quickly spread
abroad.
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We can therefore infer that their
approach to how the market moves does
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to be on a bad basis.
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Subsequently, other authors such as
Donald L. Jones or James Dalton joined
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trend and disseminated more information
on market profile trading.
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The analysis of the volume profile is
totally objective since it does not
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require any type of interpretation and
therefore provides us with very useful
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information for our analysis and
scenario approaches.
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It is important to note that the volume
profile is not an indicator.
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Many refer to it as an indicator, but
this is not correct since Together with
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the price, volume is a direct source of
information.
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The key is that it does not go through
any mathematical formula before being
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plotted on the chart, as indicators do.
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The volume profile is therefore another
way of representing volume data that
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helps us to identify very clearly and
precisely the number of contracts traded
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at different price levels.
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Volume profiles are visually displayed
on the chart as a horizontal histogram.
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whose values are distributed according
to the trading volume of each price
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level. Depending on the number of
contracts that are exchanged at each
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level, the shape of the distribution
will vary.
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The more transactions, the greater the
length of the horizontal line, while a
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short horizontal line represents fewer
trades.
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As we know, volume informs us about the
activity or participation of the agents.
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The more volume, the greater the
participation, and therefore the greater
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interest in that particular level or
zone.
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On the other hand, the lower the volume,
the lower the participation suggests
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less interest in those trading levels.
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As a reference, we are going to take a
normal distribution or Gaussian bell to
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understand the most important
statistical concepts.
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The data is distributed symmetrically
about the central point where the mean,
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median, and mode coincide.
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It has three standard deviations on each
side.
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which are equally spaced apart and
measure the amount of variability or
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around an average.
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It is also a measure of volatility.
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The first standard deviation comprises
68 .2 % of the data and up to the second
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standard deviation 95 .4 % is reached.
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On an individual basis, the main
information provided by the volume
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how the trading has been carried out, i
.e., how the volume has been distributed
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depending on the price level.
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And based on this, it allows us to
identify which level or zone has been
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interesting for all participants at an
aggregate level and which have not.
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Information that will later help us to
make trading decisions.
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On the other hand, the analysis of
several profiles together can help us to
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determine the overall sentiment or
context of the market, which is relevant
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the establishment of scenarios.
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