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The volume of structures.

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00:00:02,080 --> 00:00:06,140
Tying in with the previous point, we are
now going to add some more variable to

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00:00:06,140 --> 00:00:06,919
our reasoning.

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00:00:06,920 --> 00:00:11,620
Volume. According to the law of cause
and effect, for an effect to occur, a

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00:00:11,620 --> 00:00:16,100
cause must first have taken place in
direct proportion to the size of the

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00:00:16,560 --> 00:00:19,260
The issue here is how to measure the
size of the cause.

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00:00:19,940 --> 00:00:24,120
Wyckoff and his early students used the
point and figure chart to determine this

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00:00:24,120 --> 00:00:25,120
aspect of the cause.

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00:00:25,580 --> 00:00:30,220
Even today, There are some experienced
Wyckoff traders who continue to trust

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00:00:30,220 --> 00:00:31,500
predictive ability of this tool.

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00:00:31,760 --> 00:00:36,140
To me, trying to measure the capacity of
said cause using the point -and -figure

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00:00:36,140 --> 00:00:40,260
chart seems unsound, as it does not
account for the most important factor

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00:00:40,260 --> 00:00:41,900
this issue, which is volume.

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00:00:42,720 --> 00:00:43,960
Let's take a step back.

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00:00:44,180 --> 00:00:48,420
As we know, volume tells us about the
participation of the agents.

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00:00:48,960 --> 00:00:52,820
Thanks to the analysis of both the
traditional vertical volume and the

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00:00:52,820 --> 00:00:56,970
horizontal volume profile, we can
identify the level of interest that the

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00:00:56,970 --> 00:01:00,050
structures have generated from their
beginning to their completion.

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In essence, the volume traded in each
structure is the cause that will have

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generated the subsequent trend effect.

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00:01:07,630 --> 00:01:12,350
This cause, the origin, will greatly
influence the general context of the

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00:01:12,350 --> 00:01:16,510
market. In other words, the more volume
that has been generated in a structure,

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00:01:16,670 --> 00:01:20,350
the more power and influence it will
have on future price action.

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00:01:20,670 --> 00:01:23,290
This seems a much more logical approach
to me.

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00:01:23,790 --> 00:01:27,990
So the idea is simple. We are going to
measure the volume traded throughout the

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00:01:27,990 --> 00:01:32,010
structure to objectively determine what
the size of its cause is in terms of

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00:01:32,010 --> 00:01:37,570
volume. However, even doing this won't
enable us to estimate the effect of said

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00:01:37,570 --> 00:01:38,650
cause with certainty.

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00:01:39,110 --> 00:01:43,930
That said, it can be useful when
comparing structures, as we saw in the

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00:01:43,930 --> 00:01:48,590
point. And why am I going on about this
so much? Well, because you may have

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00:01:48,590 --> 00:01:52,730
already realized, the variables of time
and volume do not go hand in hand.

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00:01:53,150 --> 00:01:54,150
What do I mean by this?

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00:01:54,430 --> 00:01:58,650
You can have two structures that have
consumed exactly the same amount of

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00:01:58,730 --> 00:02:01,390
but the volume traded in each of them
may be different.

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00:02:01,950 --> 00:02:06,570
Taking the example further, we may see a
structure that has taken a long time to

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00:02:06,570 --> 00:02:11,570
develop completely, let's say 100 days,
with a certain volume, let's say 100

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00:02:11,570 --> 00:02:13,010
,000 contracts traded.

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00:02:13,410 --> 00:02:17,530
Under this principle, it would suggest a
lower capacity than another structure

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00:02:17,530 --> 00:02:20,270
that has developed in fewer days, let's
say 50.

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00:02:20,720 --> 00:02:25,760
but in which a greater volume of
contracts have been traded, let's say

41
00:02:26,100 --> 00:02:27,100
Interesting, right?

42
00:02:27,740 --> 00:02:31,720
The final reasoning is simple. The
volume tells us about the participation.

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00:02:32,340 --> 00:02:37,080
If one structure has more volume than
another, it means that there has been

44
00:02:37,080 --> 00:02:41,140
interest in it and that the effect of
the cause will have greater capacity,

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00:02:41,320 --> 00:02:43,420
regardless of the time it took to build.

46
00:02:44,240 --> 00:02:47,640
Going back to the previous example, in
this case, yes.

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00:02:48,110 --> 00:02:51,870
I would evaluate the possibility that
this structure, although shorter in

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00:02:52,030 --> 00:02:56,690
has sufficient capacity to overturn the
accumulation below, reverting the

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00:02:56,690 --> 00:03:01,810
control of the market from bullets to
berries. On this last slide, we see a

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00:03:01,810 --> 00:03:03,590
example happening at Comico.

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00:03:04,090 --> 00:03:07,930
To make the measurement, we are going to
use the measurement tool that we can

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00:03:07,930 --> 00:03:09,830
find in the left panel of TradingView.

53
00:03:10,310 --> 00:03:14,710
We select from the beginning of the
structure to the end and it offers us

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00:03:14,710 --> 00:03:16,110
information we are looking for.

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00:03:16,590 --> 00:03:21,110
In addition to the number of traded
contracts, it shows us the number of

56
00:03:21,110 --> 00:03:22,150
and bars it covers.

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00:03:22,390 --> 00:03:29,210
As we can see, the accumulation
structure has traded 2 .895 billion

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00:03:29,210 --> 00:03:36,090
1 ,806 days, while the current structure
has already traded 2 .428 billion in

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00:03:36,090 --> 00:03:37,630
just 518 days.

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00:03:37,930 --> 00:03:41,070
The difference in comparative terms is
quite striking.

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00:03:41,450 --> 00:03:44,390
The accumulation pattern is very
genuine.

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00:03:44,840 --> 00:03:48,060
but we know that anything can happen in
the market at any time.

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00:03:48,360 --> 00:03:52,260
We have just observed a sideways
movement that does not meet the

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00:03:52,260 --> 00:03:56,360
that we would like to see in
accumulation patterns at the moment,

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00:03:56,360 --> 00:03:58,380
decrease in volume during its
development.

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00:03:58,800 --> 00:04:03,360
Instead, we have seen a significant
increase in volume, which has remained

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00:04:03,360 --> 00:04:07,540
and constant, as well as unusual peaks
in the middle of its development.

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00:04:08,040 --> 00:04:12,480
These characteristics are at least worth
taking into account, since if it

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00:04:12,480 --> 00:04:16,959
continues to develop in this way, a
distribution cost significant enough to

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00:04:16,959 --> 00:04:21,300
overturn the accumulation below and send
the price to lower levels could be

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00:04:21,300 --> 00:04:22,300
generated.

