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Welcome back folks.
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This discussion is going
to be with commodities.
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So everything I'm going to be
talking about here should be viewed
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in light up a paper trade only.
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It's important.
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You reduce this claimers
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as a reminder, I'm not a
licensed commodity trade advisor.
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Everything here is for
informational purposes only.
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Okay folks, July, 2017, ICT
mentorship, make a trades.
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The first lesson we're going to
talking about the commodity market.
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okay.
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First, what is mega
trades and what are they?
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One of the first things I learned
from Larry Williams was this
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notion of finding these big
moves that take place every year.
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And basically what would make a trade
is, is, and I coined this term, this is
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something I picked up from my Williams.
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Obviously it was his catchphrase.
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He used forum, but it's a large price
swing or trend that can produce massive
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potential gains that when compared to
relative markets performs them all.
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Yeah, they're easily to spot
historically in your price charts.
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You can see them every
single calendar year.
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These moves have huge institutional
sponsorship and it's coupled with
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strong influences from actual supply
and demand factors that fuel these.
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So, yes, while I usually snub my
news at supply and demand as a
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technical approach to trading a
supply and demand, as it relates to
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commodities is an absolute reality.
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You have to, you have to have a
good feel for what the supply and
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demand factors are for commodity
to have any measure of success.
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Now, when we talk about commodities,
Obviously, there is a number of
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commodities that we can choose from.
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But one of the things I wanted to talk
about since we're talking about this
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particular asset class now, is that,
should you be a commodity specialist?
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Well, when following the commodity
markets, in my opinion, it's best to avoid
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being a specialist or one market trader.
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The reason why I say that is because our
favorite commodity can provide plenty
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of setups to consider, but it might be.
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Well, other markets are on fire.
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In other words, if you're looking at one
commodity and that's the one you make
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your bread and butter setups on, if you're
just looking at that one, you'll never be
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able to find the bigger moves that take
place to have extrapolated price swings,
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because you're only focusing on one thing.
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Now there's nothing wrong with
having a special asset class or
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a special market to do you use.
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Bread and butter setups.
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But if you limit your scope, just to that,
you're really discounting one of the best
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opportunities for you to get in here.
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And number one, improve as a trader, get
a better feel for the general market.
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But the bottom line is, is if you
can be profitable trading, these
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types of moves, why wouldn't you
want to and commodities as a whole.
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Offer a very small universe of
Marcus to analyze, to seek medicines.
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Kind of like the Forex market.
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Uh, I choose to follow just a few pairs
of the majors, cross it, the dollar,
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and it takes a lot of the ambiguity
away from what I should be doing.
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If there's not a signal that's very clear.
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I'm not doing anything.
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If there is a time of the
year, when I believe that.
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A major trade or a large
move is going to take place.
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Then I'll be doing my analysis
across the entire spectrum of
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that asset class for commodities.
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You'll be doing it with
several different sectors.
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Okay.
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The first category that we're going to be
looking at is the agricultural markets.
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And we're going to first look
here for mega trades and these
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are markets that feed the world.
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And as a result, they will have even
greater supply and demand factors that
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move them droughts, insect damage frost
or bumper crops will have an enormous
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effect on prices in these markets
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and the grain markets.
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We're going to take a
look at the grain complex.
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And the first in the list
is soybeans soybean meal.
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Soybean oil, both meal and oil are
derivatives of the soybean itself.
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Wheat, corn, oats, canola, and rice.
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Now boats and rice.
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I traded it back in the nineties.
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It's a rather thin market.
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You can get hurt in that.
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If it starts to do a limit moves.
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And I did have the unfortunate experience
of being caught in some of those things.
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And it's not fun.
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So I'm going to advocate here,
not even to follow these, uh,
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three specific grain markets.
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Uh, when I was looking at the, uh,
commodities years and years ago,
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back in the nineties, I would use
these thin markets to look for.
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Drops in open interest to, to more
or less build the idea that I thought
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that the green markets as a whole
would go higher or lower based on that.
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And sometimes it worked
and sometimes it didn't.
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So initially as a new trader,
I built a lot more significance
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around that in my ignorance.
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But, uh, now I just simply don't even
consider these three particular grains
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to be watched at all, but I include
them here because of completeness sake.
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If you look at the green complex
as a whole, as I taught earlier in
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the mentorship for the grains, I
just like to follow the soybeans
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themselves, uh, scoreboard, trade
wheat and sugar or trade corn.
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So it's really only three
grains it's in that sector.
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And the livestock meat complex
is going to be live cattle,
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feeder, cattle, and lean hogs.
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It used to be.
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Pork bellies in this sector, but
they discontinued trading this
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moving on.
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Uh, we're looking at the softs.
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This is a food group.
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So we have coffee, cocoa,
sugar, and orange juice.
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That brings us up to 10
commodity so far in agricultural.
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And then the fiber will
be looking at cotton.
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So that's 11 markets in
the agricultural market.
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Okay.
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The next area of opportunity is
found in the financial markets.
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And this is a group of markets that
are hard in nature and industrious.
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So industrial supply and demand factors
are going to move these commodities.
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So wars economic drivers, interest rates,
imports exports will have a greater
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impact on these kinds of commodity.
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Okay.
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The first one is going to be the
metals market and it's broken into two
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categories, precious metals, which being
the gold market, silver market, palladium
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and platinum palladium and platinum.
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Again, I had experienced trading,
both are very thin, very thin, and I
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include them here for completeness sake.
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Just as a general rule of thumb, don't
want to trade them in industrial metal.
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We have the high grade copper.
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So in essence, we have three metals to
look at two precious, one industrial,
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so gold, silver, and high-grade copper.
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So we have a universe now it's
not growing exponentially.
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Just adding a few more at a time.
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And we have the energy sector next,
and we're looking at the markets
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that make up that energy sector being
crude oil, heating oil, gasoline
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futures, and natural gas futures.
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Now, admittedly, I don't have
any experience trading futures
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contracts in natural gas, but
in recent years it's been very.
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And I knew folks online that have
traded it and done very well with it.
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Not specifically with my content, but I
do know other traders that have made their
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living trading, natural gas features.
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Alright, so fundamentals.
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And then they matter for this asset class.
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So commodities require a measure
of fundamental consideration.
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In our analysis.
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We do not have to Wade through dry,
boring crop reports or cattle head.
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A simple newspaper headline
might be all that's needed to
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draw a fundamental conclusion.
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Now, what do I mean by that?
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Well, the idea of a market that
has been quiet for a little
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while and suddenly there's the
discussion by way of a headline.
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Uh, for instance, there, um, back
in the nineties, there was a, uh,
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specific parasite that was supposedly
infecting the, uh, the crops in the U S.
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And between that, the drought, um, and
the heat waves that were going on, all
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the green markets went into a premium
market and it just became like vertical,
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straight up runs on wheat, soybean
and corn net in 19 94, 95 time period.
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And there was a lot of opportunity
on the upside as a result of that
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ahead of all of those big moves.
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There were headlines.
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That suggested that there may be trouble
looming for those particular crops.
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And it was mainly around the drought that
dryness in the bread basket, if you will,
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the us, um, and there was this and I for
life, man, I can't recall what that, uh,
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parasite was, but there was a, uh, some
kind of a bug that was trying to eat.
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Um, and damage one of the crops.
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And whenever you hear that type of stuff
and it's in the middle of summer, it
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just like selling gasoline on a fire.
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It will ignite all kinds of
buying and the grain markets.
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This went vertical in the mid
nineties as a result of all that.
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And one of the things I like
is looking at commodities mega.
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Uh, futures magazine.
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Um, they have a little
area in that magazine.
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That's basically like the hot commodities
right now, and it's almost uncanny
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how they always talk about them once
they have been moving for a while.
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And if you do any analysis on them,
they're going to talk about them as
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this is the hot market right now, right.
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At a time when it would be at a
point over reversal and true to
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form, that's what ends up happening.
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So if we see.
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Headline news.
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Or if we see a special focus on a
specific commodity saying that they're
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hot commodities or, or these are the ones
to be in right now, and we can look in
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the chart and see they've been moving
for a while, uh, that tends to be a
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really good conditions for mega trades.
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The form, a reason why it's, because
it builds in an idea of sentiment.
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And whenever there's an extreme
in market sentiment, whether it be
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extremely bullish or extremely bear.
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Uh, those are wonderful
contrary and signals.
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And if we can get those in a time when
there's a overlap of technicals suggesting
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the same in terms of directional bias, um,
it's a really wonderful opportunity and a
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real sweet spot for you to be as a trader.
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Okay.
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The fundamental starting point, obviously.
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Seen me teach this before, but it has
to be in here for completeness sake, a
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quick and easy first step is to consult
the delivery month closing prices.
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So you can go on the bar chart.com.
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If you have access to like wall street
journal or investors business daily,
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just look at the, uh, delivery contract
months and you can see the closing prices.
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And what you'll be doing is you're
going to be noting any commodity
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that has a premium over a distance.
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And as the months go out again, they
should be more expensive, but if it
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were reverses and it's more expensive
now this delineates, the premium
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is in the nearby months, whereas
it should be in the distant months.
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Uh, this will be our primary search.
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Every year.
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We go into the market place looking
for these conditions because
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they are the common ingredient
for explosive bull markets.
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Markets tend to have
longer periods of going.
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And explosive price action.
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When there's a premium, when there's
a lack of a premium, uh, it takes very
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little time to drop in those markets.
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But.
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We're looking for conditions when the
market is predisposed to go higher and
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we've already arrived at that by other
technical analysis that you'll learn
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in your top-down analysis templates
in August, but I'm giving you the
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general points in this teaching, how
to go about looking for mega trades,
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because going to get a homework
assignment at the end of this teaching.
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But premiums are going to be a
common denominator for explosive
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vertical parabolic price
action moves that go higher.
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Well, beyond higher than you've
ever imagined, the move would go.
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Those are really fun to be a part of.
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They can be scary the first few times
you get in, because you want to get
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out everything in your being says, get
out, but you want to hold on to them
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because they can go way farther than
you ever thought they were going to go.
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00:14:10,484 --> 00:14:14,535
Now we don't need a, or require a
premium to be in a bullish commodity
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or to deem it a bullish commodity.
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It merely adds to the likelihood
of a strong price rally.
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In the sense that bull
markets are not all equal.
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A commercial bull market is a market
that goes parabolically vertical
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00:14:30,344 --> 00:14:34,155
and they, they both can start off
the same where as a carrying charge.
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Standard bull market where it goes
up, down, up, down typical stairway.
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Uh, that's not what you see
in a commercial bull market
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00:14:42,375 --> 00:14:43,815
commercial bull market with a pre.
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Where the nearby months are selling at
a higher price than a distant months.
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They go parabolic and very quickly
cover a lot of ground and they
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00:14:52,995 --> 00:14:55,094
do so in short order very quick.
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00:14:55,545 --> 00:15:00,224
Um, it may take many months for a
long-term carrying chargeable market
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to come to fruition or complete,
or go to a higher timeframe.
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Objective, not when there is a
premium, it can do it extremely fast.
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00:15:08,895 --> 00:15:11,354
It can do it very energetically and.
230
00:15:12,720 --> 00:15:16,140
Very fast and it's a very fun
market to be in when it's like that.
231
00:15:20,750 --> 00:15:20,960
Okay.
232
00:15:20,960 --> 00:15:22,100
Dollar based analysis.
233
00:15:22,130 --> 00:15:24,560
Now, generally when the us
dollar is declining, this
234
00:15:24,560 --> 00:15:26,330
allows commodity prices to rise.
235
00:15:26,900 --> 00:15:31,280
And conversely, when the us dollar rises
this precious commodity prices lower.
236
00:15:31,490 --> 00:15:34,310
Now I say this because
that's the general rule.
237
00:15:35,175 --> 00:15:38,655
But general thumbs are always panaceas.
238
00:15:39,045 --> 00:15:43,575
So there can, and will be periods
lasting as long as a year when commodity
239
00:15:43,575 --> 00:15:47,145
prices and the U S dollar move in
tandem or in the same direction.
240
00:15:47,745 --> 00:15:49,575
And there's no way around it.
241
00:15:49,635 --> 00:15:53,745
I don't have a secret science behind
it where I can crack that code.
242
00:15:54,135 --> 00:15:56,385
Uh, w you just got to accept
the fact that, you know, we
243
00:15:56,385 --> 00:16:00,225
can never be 100% accurate and
therein lies the risks, uh, E.
244
00:16:01,455 --> 00:16:03,975
Past performance isn't
indicative of future results.
245
00:16:03,975 --> 00:16:04,785
We all knew this.
246
00:16:05,115 --> 00:16:08,505
It's, it's spoken in all of
the disclaimers in anyone that
247
00:16:09,435 --> 00:16:10,575
reads out their disclaimers.
248
00:16:10,705 --> 00:16:11,895
You audibly.
249
00:16:12,105 --> 00:16:12,825
They always say it.
250
00:16:12,975 --> 00:16:15,735
The same thing, you know, past performance
is not indicative of future results.
251
00:16:16,965 --> 00:16:21,015
Everything I'm sharing here now are
things that I've observed and picked up
252
00:16:21,075 --> 00:16:29,115
over 24 years now coming up where there's
this a massive amount of probability.
253
00:16:30,324 --> 00:16:33,025
For certain things to take place.
254
00:16:33,775 --> 00:16:38,425
And while they are historically and
statistically proven that they are
255
00:16:38,425 --> 00:16:43,824
likely to occur, does it not mean, or to
imply that you should put money on them?
256
00:16:43,824 --> 00:16:47,635
Because I'm talking about here,
when you do these studies and
257
00:16:47,635 --> 00:16:52,314
exercises, it's meant to stimulate
your overall general market aptitude.
258
00:16:52,915 --> 00:16:56,425
But if you choose to trade on
these ideas with life funds,
259
00:16:56,814 --> 00:16:57,865
that's entirely up to you.
260
00:16:57,865 --> 00:16:58,105
I don't know.
261
00:16:58,890 --> 00:17:03,930
You did the glory fourth, and
I surely don't want the shame
262
00:17:03,930 --> 00:17:04,919
for it when it doesn't work.
263
00:17:04,990 --> 00:17:10,950
I'm basically encouraging you to use
these tools and these concepts to build a
264
00:17:10,950 --> 00:17:16,319
greater understanding of your price action
analysis and general market condition.
265
00:17:22,480 --> 00:17:22,690
Okay.
266
00:17:22,690 --> 00:17:25,960
Sector, group leaders, when
we are expecting higher
267
00:17:25,960 --> 00:17:27,069
commodity prices in general.
268
00:17:27,990 --> 00:17:31,830
We will seek to filter those markets,
that exhibit very bullish characteristics.
269
00:17:33,030 --> 00:17:36,090
When we are expecting lower commodity
prices in general, we will seek to
270
00:17:36,090 --> 00:17:39,540
filter those markets, that exhibit
very barest characteristics.
271
00:17:40,680 --> 00:17:44,040
Now there can be opportunities to
be contrary and in either of the
272
00:17:44,040 --> 00:17:49,379
conditions explained above, but
to keep things simple, we're going
273
00:17:49,379 --> 00:17:54,060
to assume that we understand when
dollars are going to go higher when
274
00:17:54,060 --> 00:17:55,020
the dollar's going to go lower.
275
00:17:55,290 --> 00:17:56,820
And we're going to use that as our basis.
276
00:17:57,570 --> 00:18:00,420
Yeah, there's other things you're
gonna learn in August to help you fine
277
00:18:00,420 --> 00:18:04,800
tune a directional bias and also know
specifically what you're reaching for,
278
00:18:04,800 --> 00:18:09,510
what concept, what type of trading pattern
should lend well in that condition?
279
00:18:10,304 --> 00:18:14,385
But for now, I'm going to speak
in broad brush terms because
280
00:18:14,715 --> 00:18:16,814
it will help build the idea.
281
00:18:16,875 --> 00:18:20,504
When we go into August, those PDFs, you'll
have a little bit more understanding
282
00:18:20,594 --> 00:18:24,824
and that gap will be bridged quicker
because of this teaching and this whole
283
00:18:24,824 --> 00:18:26,175
entire month's teachings actually.
284
00:18:27,014 --> 00:18:32,294
But if you look at this chart here,
it's a overlay that I actually created
285
00:18:32,355 --> 00:18:36,225
to show what I'm going to show you
in the second slide after this one.
286
00:18:38,205 --> 00:18:40,335
I want you to take a
look at the wheat market.
287
00:18:40,365 --> 00:18:44,804
The wheat market is the, a little
bit darker line and the lighter
288
00:18:44,804 --> 00:18:47,205
line is the soybean market.
289
00:18:47,955 --> 00:18:49,725
So when we're looking for.
290
00:18:50,655 --> 00:18:55,485
Commodities, the rally as a whole,
while the dollar index ideally should
291
00:18:55,485 --> 00:18:58,155
be going lower or about the trade lower.
292
00:18:58,605 --> 00:19:02,655
Um, that gives us a reason to anticipate
higher prices and commodities.
293
00:19:03,165 --> 00:19:08,415
Now, while this isn't a mega trade per
se, um, this is how they start off.
294
00:19:08,504 --> 00:19:09,675
So that's why I'm showing it to you.
295
00:19:10,185 --> 00:19:15,014
And this is actually as of right now at
the time of this recording, uh, the first
296
00:19:15,045 --> 00:19:18,465
week or so of July, 2017, uh, Fridays.
297
00:19:20,060 --> 00:19:28,760
Shows us the price action here relative to
the wheat market and the soybean market.
298
00:19:29,330 --> 00:19:30,830
Uh, I did not include corn.
299
00:19:30,830 --> 00:19:33,290
And if you take a look at the corn
market, you'll see why, because it's
300
00:19:33,290 --> 00:19:35,540
in a consolidation and these two.
301
00:19:36,990 --> 00:19:40,830
Are a little bit more energetic
and we can actually see an example
302
00:19:40,860 --> 00:19:42,360
of smart money accumulation.
303
00:19:43,080 --> 00:19:44,280
So the dollar has been bearish.
304
00:19:44,460 --> 00:19:48,120
So that means higher prices should
be expected in the commodity markets.
305
00:19:48,420 --> 00:19:50,850
Not always, not a panacea,
but it should happen.
306
00:19:51,360 --> 00:19:55,200
But under that pretense
that it may go higher.
307
00:19:55,500 --> 00:19:58,230
We're going to be looking for
characteristics to support the idea
308
00:19:58,230 --> 00:19:59,820
that the green markets should go higher.
309
00:20:00,150 --> 00:20:01,140
And how can we do that?
310
00:20:01,200 --> 00:20:02,100
We start going in and.
311
00:20:03,210 --> 00:20:07,110
The relative lows across
the grain complex.
312
00:20:07,700 --> 00:20:09,690
Obviously we have only
three grains to look at.
313
00:20:09,780 --> 00:20:13,680
It's the soybean market, the corn
market, and the wheat market.
314
00:20:14,490 --> 00:20:17,220
I have wheat overlaid with soybean.
315
00:20:17,580 --> 00:20:19,110
Now you don't need to do this, but I do.
316
00:20:19,130 --> 00:20:20,100
I'm doing it graphically.
317
00:20:20,100 --> 00:20:21,330
So you can see what I'm referring to.
318
00:20:22,110 --> 00:20:27,660
As you can see, the mid portion of
may going into the first week of June
319
00:20:28,710 --> 00:20:30,360
wheat was unwilling to make a lower.
320
00:20:31,065 --> 00:20:34,065
While the soybean market had
fallen off rather precipitously,
321
00:20:34,905 --> 00:20:39,105
then both rallied a little bit
up into, around the 19th of June.
322
00:20:39,585 --> 00:20:45,825
And then while both had a modest decline,
soybeans made a lower low, but the
323
00:20:45,825 --> 00:20:49,605
wheat market failed to go lower and
you can see that happening in here.
324
00:20:50,265 --> 00:20:51,645
So soybeans went lower.
325
00:20:52,815 --> 00:20:57,045
We can see clearly here that wheat
is the stronger of the grain markets.
326
00:20:59,475 --> 00:21:04,004
And as a result, the wheat market
rallied $6,500 per contract.
327
00:21:04,635 --> 00:21:07,635
And the soybean market rallied
4,800 hours per contract.
328
00:21:09,945 --> 00:21:15,854
There is a built in advantage to using
visual analysis like this because
329
00:21:16,425 --> 00:21:21,584
it cuts to the core of whether smart
money's buying or selling again.
330
00:21:22,545 --> 00:21:26,385
General principle is if they're going
to be institutions stepping in or
331
00:21:26,385 --> 00:21:33,285
large commercial dominant users or
producers that are trying to buy a lot
332
00:21:33,285 --> 00:21:35,355
or sell a lot of a specific commodity.
333
00:21:36,345 --> 00:21:38,805
They're going to leave
telltale signs in price.
334
00:21:38,925 --> 00:21:40,605
They have to, they can't hide it.
335
00:21:40,665 --> 00:21:43,635
Their sheer volume is
going to create this crack.
336
00:21:44,055 --> 00:21:47,745
Well, when we see this occurring, we
know there's a massive accumulation
337
00:21:47,745 --> 00:21:49,095
going on in the green complex.
338
00:21:49,545 --> 00:21:54,255
Now all three corn soybeans
and wheat can go up in tandem.
339
00:21:54,255 --> 00:21:55,245
There's going to be a sympathy.
340
00:21:55,245 --> 00:21:57,435
Play soybeans rallied significant.
341
00:21:57,675 --> 00:22:00,855
That's nothing wrong with seeing
a $4,000 per contract move.
342
00:22:01,035 --> 00:22:03,405
If you were long in that,
I would be mad about that.
343
00:22:03,855 --> 00:22:04,155
Nobody.
344
00:22:05,159 --> 00:22:11,399
But our job as an analyst and a developing
professional trader, we want to see
345
00:22:12,090 --> 00:22:18,750
the characteristics that lead to us,
finding the strongest of the specific
346
00:22:18,750 --> 00:22:21,629
commodity markets in a specific sector.
347
00:22:22,020 --> 00:22:26,639
That way we ended up with a portfolio
of the strongest or the weak.
348
00:22:27,810 --> 00:22:28,949
At that given time.
349
00:22:29,639 --> 00:22:34,590
And here in this example, we can
clearly see that the concepts fared
350
00:22:34,590 --> 00:22:39,870
it out the larger of the two and that
being wheat producing a $6,500 per
351
00:22:39,870 --> 00:22:45,510
contract, move over again, a $4,800
move seen in the soybean market.
352
00:22:50,110 --> 00:22:52,479
And here's those two
respective charts and stuff.
353
00:22:55,304 --> 00:23:02,235
Can you see soybeans on the left, making
a lower low in June going into the last
354
00:23:02,235 --> 00:23:07,065
week of June going into the beginning
of July and then wheat had already
355
00:23:07,065 --> 00:23:11,205
been making higher lows and starting
to build up institutional order flow
356
00:23:11,235 --> 00:23:15,915
all down closed candles are supporting
price in a bullish or block nature.
357
00:23:16,785 --> 00:23:20,504
And short-term highs were starting
to break before the short-term highs
358
00:23:20,504 --> 00:23:22,004
were seen in the soybean market.
359
00:23:22,995 --> 00:23:28,215
So a lot of accumulation can be seen
in this chart than that, of the one
360
00:23:28,215 --> 00:23:29,475
on the left, which is the soybeans.
361
00:23:29,745 --> 00:23:34,155
So we was under a massive amount of
accumulation and you can see that
362
00:23:34,155 --> 00:23:41,685
visually at the lows also noticed
that during the month of may, we had
363
00:23:41,685 --> 00:23:45,285
a massive decline in open interest
while we was in a consolidate.
364
00:23:46,534 --> 00:23:50,375
Then in June, we saw another
massive reduction in open
365
00:23:50,375 --> 00:23:52,925
interest on two scales on wheat.
366
00:23:53,465 --> 00:23:58,895
And then finally, when the bottom fell
out on the open interest of wheat going
367
00:23:58,895 --> 00:24:04,445
into the last week of June, June going
into July, that's all that was necessary.
368
00:24:04,685 --> 00:24:08,824
Price traded down into a bullish,
shorter block on a daily for wheat,
369
00:24:08,824 --> 00:24:11,405
and then exploded and made another.
370
00:24:13,395 --> 00:24:19,495
$1 move or 5,000 per, uh, per
contract for that, that mood is low.
371
00:24:19,495 --> 00:24:23,205
It took only 1, 2, 3, 4, 5 of a week.
372
00:24:23,295 --> 00:24:27,255
That a week it's worth the time
to being $5,000 per contract, who
373
00:24:27,255 --> 00:24:28,575
is going to be arguing about that?
374
00:24:28,635 --> 00:24:29,865
No, I don't want $5,000.
375
00:24:29,865 --> 00:24:31,275
Don't don't you dare give me that.
376
00:24:39,045 --> 00:24:43,125
Now the process in simple terms is as
follows what we're going to be dealing.
377
00:24:43,125 --> 00:24:47,024
Is it going to be searching headlines
for commodities, any headline
378
00:24:47,024 --> 00:24:48,524
that would spark an interest?
379
00:24:48,975 --> 00:24:54,735
Uh, something like, um, uh, the grains
are in trouble because it's going
380
00:24:54,735 --> 00:24:56,805
to be dry or there's too much rain.
381
00:24:57,495 --> 00:25:04,905
Um, things of that nature of shortage
of, um, oil production, OPEC cuts
382
00:25:04,905 --> 00:25:06,855
back or production, or there's.
383
00:25:08,025 --> 00:25:10,395
Yeah, something's coming
aluminum in the middle east.
384
00:25:10,425 --> 00:25:12,015
Well, that's going to effect oil prices.
385
00:25:12,885 --> 00:25:15,675
And the next thing is his roommate
looking for Marcus to have premium.
386
00:25:16,125 --> 00:25:20,025
Again, we don't need to have a market
premium, but if it does, we're focusing
387
00:25:20,025 --> 00:25:26,655
primarily more on those particular markets
than that of a market that doesn't have
388
00:25:26,655 --> 00:25:29,805
a premium and we're gonna be conferring.
389
00:25:29,805 --> 00:25:33,345
What the dollar index for direction,
again, dollar up commodities
390
00:25:33,345 --> 00:25:35,715
down dollar down commodities.
391
00:25:38,064 --> 00:25:42,504
And we're gonna use relative
strengths in each sector comparing
392
00:25:42,955 --> 00:25:44,425
Lowe's when we're bullish.
393
00:25:44,995 --> 00:25:48,145
And we're looking for the one that
fails, like a lower load to be a buyer.
394
00:25:48,715 --> 00:25:52,195
And we're going to be looking at
highs when we're bearish and we're
395
00:25:52,195 --> 00:25:56,725
gonna be looking for a failure
swing or a marketed fails to make
396
00:25:56,725 --> 00:25:58,435
a higher high when it's bearish.
397
00:25:58,495 --> 00:26:02,695
And you can see heavy distribution
in that we're going to
398
00:26:02,695 --> 00:26:04,495
filter each leader from eats.
399
00:26:06,475 --> 00:26:09,205
And we're going to try to follow
one leader from each sector,
400
00:26:10,645 --> 00:26:14,004
and we're going to use option
prices for paper trading also.
401
00:26:14,004 --> 00:26:18,595
So if you think there's going to be higher
prices or lower prices, a new way you
402
00:26:18,595 --> 00:26:21,504
practice it is go into the options chain.
403
00:26:22,075 --> 00:26:24,565
And we'll talk about that in
August as well in great detail.
404
00:26:25,875 --> 00:26:30,254
It will help you find opportunities
where even with folks that have very
405
00:26:30,254 --> 00:26:32,895
small trading accounts, you can buy.
406
00:26:32,985 --> 00:26:37,935
If you're bullish on commodities as a
whole, you can buy call options in just
407
00:26:37,935 --> 00:26:41,504
about every one of the major sectors
and not spend a whole lot of money.
408
00:26:41,655 --> 00:26:42,915
And you have controlled risk.
409
00:26:43,155 --> 00:26:46,574
It's limited to what you
paid for the option premium.
410
00:26:46,635 --> 00:26:48,104
Plus the commission.
411
00:26:50,980 --> 00:26:56,290
Now, this is obviously a very basic and
very simplified overview that will be
412
00:26:56,290 --> 00:27:00,580
refined in detail in August and the PDF
files for commodity top-down analysis.
413
00:27:01,060 --> 00:27:03,550
I say it to you here, because
I want you to think like this,
414
00:27:03,550 --> 00:27:04,959
build this mindset going in.
415
00:27:05,350 --> 00:27:08,740
Because when we start talking about
those lessons in August, at least you
416
00:27:08,740 --> 00:27:13,990
knew a general theme or process that we
work off of that there's other portions
417
00:27:13,990 --> 00:27:15,750
and gaps that's intentionally left.
418
00:27:17,170 --> 00:27:20,650
To be filled in when we get
into the PDF files for August
419
00:27:25,870 --> 00:27:26,890
the commodity basket.
420
00:27:27,070 --> 00:27:32,230
Now, now every commodity sector will
perform well and not every selected
421
00:27:32,230 --> 00:27:34,480
leader will perform or outperform.
422
00:27:35,880 --> 00:27:39,750
So due to the lack of perfection,
unfortunately, I can't bridge our
423
00:27:39,750 --> 00:27:43,170
diversified approach in all the
sectors will in theory, increase
424
00:27:43,170 --> 00:27:46,800
the odds of capturing a major
trade in one or more sectors.
425
00:27:47,610 --> 00:27:51,300
Now, the magnitude and energy
seen in the winners will many
426
00:27:51,300 --> 00:27:52,950
times cover the collateral damage.
427
00:27:52,980 --> 00:27:55,290
The under-performance
will generate post trade.
428
00:27:57,120 --> 00:28:02,640
Now let's assume for a moment you've
done the analysis and you've come to a.
429
00:28:03,915 --> 00:28:07,065
That you think is going to outperform
all the others in that specific sector
430
00:28:07,065 --> 00:28:08,985
for all the other sectors combined.
431
00:28:09,225 --> 00:28:14,355
So, you know, you have a list of
specific commodities, what to do well,
432
00:28:15,045 --> 00:28:19,575
the leaders, you can actually start
comparing them as well and see which of
433
00:28:19,605 --> 00:28:21,555
those have much more relative strength.
434
00:28:22,275 --> 00:28:27,315
For instance, if we're bullish, we've
gone through all the, uh, agricultural
435
00:28:27,315 --> 00:28:30,915
sectors and we've gone through all
the financial sectors and we come to.
436
00:28:31,950 --> 00:28:33,870
Bye list and we're bullish.
437
00:28:34,470 --> 00:28:38,400
Um, we have our leaders on the upside
that we think is going to go up, but now
438
00:28:38,400 --> 00:28:44,640
we can start looking at those respective
leaders on a comparative basis and see
439
00:28:44,640 --> 00:28:49,110
if we're bullish, which one of those
commodities are starting to break highs
440
00:28:49,470 --> 00:28:53,550
earlier than the others, because that
means you can really see professional
441
00:28:53,550 --> 00:28:58,710
buying earlier than just the diversions
at the lows that you compared with.
442
00:28:58,710 --> 00:29:00,450
The second.
443
00:29:01,410 --> 00:29:03,600
Members of each respective sector.
444
00:29:03,600 --> 00:29:07,830
In other words, if we're looking at the
green market and we fared it out, say
445
00:29:07,830 --> 00:29:12,060
the soybean market happened to be the one
that failed to make a lower, low and corn.
446
00:29:12,060 --> 00:29:12,450
And.
447
00:29:13,290 --> 00:29:17,190
We were unsure or unclear
about what they wanted to do.
448
00:29:17,490 --> 00:29:20,970
And it's clear that soybeans
was under accumulation.
449
00:29:21,240 --> 00:29:21,810
Okay, fine.
450
00:29:21,810 --> 00:29:25,950
We have soybeans out of that complex and
say we did the same thing for the meats.
451
00:29:26,160 --> 00:29:26,430
Okay.
452
00:29:26,430 --> 00:29:29,010
Or livestock, and say
that it was lean hogs.
453
00:29:29,280 --> 00:29:31,860
That was the upside outperformer
that we expect to see.
454
00:29:32,490 --> 00:29:38,970
We can look at the highs in relative terms
in the soybean market and in the, the
455
00:29:38,970 --> 00:29:41,700
hog market and see which one of those.
456
00:29:42,555 --> 00:29:46,754
Commodities, which one was breaking
out above short-term highs or
457
00:29:46,754 --> 00:29:51,405
breaking highs, or basically bearish
quarter blocks before the other.
458
00:29:52,004 --> 00:29:56,355
And which one is seeing much more
support at down candles or bull
459
00:29:56,375 --> 00:30:03,165
shorter blocks, basically having
the strongest of the strongest.
460
00:30:03,375 --> 00:30:03,705
Okay.
461
00:30:03,735 --> 00:30:06,735
Basically whittling it down even
further, because that way, if you're
462
00:30:06,735 --> 00:30:10,695
going to have a commodity basket, you
can start allocating more of your.
463
00:30:11,760 --> 00:30:12,270
Okay.
464
00:30:12,480 --> 00:30:16,830
Or if you're gonna be doing options,
you can be buying more options in
465
00:30:16,830 --> 00:30:22,050
the strongest in your leader list and
still participate in the, in all the
466
00:30:22,050 --> 00:30:26,130
sectors, but allocate more of your
money to the strongest of the strong.
467
00:30:26,220 --> 00:30:29,250
In other words, it'd be in that
with say eight different leaders.
468
00:30:29,970 --> 00:30:31,830
We don't want an evenly distributed.
469
00:30:32,610 --> 00:30:34,170
Allocation of money.
470
00:30:34,470 --> 00:30:39,060
We want to do more analysis and find out
which of these eight are in fact even
471
00:30:39,060 --> 00:30:41,820
stronger than their respective peers.
472
00:30:42,060 --> 00:30:46,710
So that eight could be finally,
you brought down to three
473
00:30:46,710 --> 00:30:48,300
that are really outperforming.
474
00:30:48,330 --> 00:30:55,110
So say the 50% of your investment
capital goes into those three and
475
00:30:55,110 --> 00:30:58,770
the remaining portion that you was
going to allocate to this idea.
476
00:31:00,284 --> 00:31:03,014
Then you would use that with the
remaining sectors and spread that out.
477
00:31:03,014 --> 00:31:06,615
So that way you're, you're focusing
a lot more allocation in the
478
00:31:06,615 --> 00:31:10,844
ones that are showing leadership
characteristics, but you're also
479
00:31:10,875 --> 00:31:14,655
still participating in a diversified
manner and all the other sectors.
480
00:31:14,655 --> 00:31:19,245
So you have one green, you have one,
uh, livestock, you have one metal,
481
00:31:19,395 --> 00:31:21,074
you have one energy commodity.
482
00:31:21,074 --> 00:31:27,915
You have one, uh, Or like coffee or
cocoa, one of those from that sector.
483
00:31:28,035 --> 00:31:29,925
So you have a dabbling okay.
484
00:31:30,254 --> 00:31:33,225
In all of the commodity sectors
as a whole, but you're really
485
00:31:33,225 --> 00:31:37,545
allocated heavily in the ones that
have been visually shown to show.
486
00:31:38,564 --> 00:31:42,014
Massive accumulation because
they're breaking highs and
487
00:31:42,014 --> 00:31:43,034
they're failing to go lower.
488
00:31:43,245 --> 00:31:48,225
So if we see that in comparison to all
the other sector leaders that you've
489
00:31:48,225 --> 00:31:52,784
fared it out, it will build up a even
stronger likelihood that you're going
490
00:31:52,784 --> 00:32:00,645
to catch her a nigga trade because those
outperforming or leadership commodities
491
00:32:00,975 --> 00:32:04,665
that you've done analysis even further
on comparatively, you really have.
492
00:32:05,445 --> 00:32:10,905
You know, fine tune it down to a point at
which we can see most likely the strongest
493
00:32:10,905 --> 00:32:12,375
price moves for that calendar year.
494
00:32:17,345 --> 00:32:17,705
All right.
495
00:32:17,705 --> 00:32:18,995
The treasure seeker mindset.
496
00:32:19,775 --> 00:32:24,515
Now some of you might feel perhaps this
is a lot of work to find a market move,
497
00:32:25,205 --> 00:32:29,315
or maybe it might seem boring to sift
through charts for generic conditions.
498
00:32:30,870 --> 00:32:34,440
From my first day, looking at the
annual big movers and listening to
499
00:32:34,440 --> 00:32:36,810
the Larry Williams about 20,000 times.
500
00:32:36,840 --> 00:32:37,220
Okay.
501
00:32:37,290 --> 00:32:40,379
Playing his VHS cassette
course over and over again.
502
00:32:40,860 --> 00:32:45,270
Um, I could hear him say that, you
know, he loves going through charts.
503
00:32:45,270 --> 00:32:45,810
He loves it.
504
00:32:45,810 --> 00:32:46,530
He loves million.
505
00:32:47,100 --> 00:32:51,060
And I'm not sure if I was just being
programmed or prying because I looked
506
00:32:51,060 --> 00:32:52,440
up to him and I heard him say that.
507
00:32:52,889 --> 00:32:55,440
But either way I can tell you, I still.
508
00:32:56,429 --> 00:33:00,330
I love, matter of fact, I love
doing the analysis and going through
509
00:33:00,330 --> 00:33:01,649
and finding these types of things.
510
00:33:02,129 --> 00:33:03,360
And I'm addicted to that.
511
00:33:03,360 --> 00:33:07,350
It's to me, you know, since the very
first day I've likened it to treasure
512
00:33:07,679 --> 00:33:10,649
hunting, it's like a treasure that
hidden that, you know, I have to
513
00:33:10,649 --> 00:33:13,679
personally go into the charts and
find, and like most, anything else.
514
00:33:13,679 --> 00:33:15,870
If you turn it into a
game, it makes it fun.
515
00:33:17,504 --> 00:33:19,845
Every new calendar year
presents a new treasure hunt.
516
00:33:20,925 --> 00:33:24,225
One of the things that helps keeps
me motivated is because I have
517
00:33:24,225 --> 00:33:29,264
this mindset that I look at the
markets as that particular analogy,
518
00:33:29,504 --> 00:33:34,695
like it's a treasure hunt, it's
a, it's a game it's hide and seek.
519
00:33:34,905 --> 00:33:37,065
They are hiding something from me.
520
00:33:37,155 --> 00:33:40,695
So therefore I'm going to do my best
to find out what it is they're hiding.
521
00:33:40,935 --> 00:33:41,685
And I need to find it.
522
00:33:42,540 --> 00:33:45,780
Find them being them
being the smart money.
523
00:33:46,050 --> 00:33:47,189
I need to see what they're doing.
524
00:33:47,189 --> 00:33:48,270
I need to be a tracker.
525
00:33:48,540 --> 00:33:52,229
You know, I need to be following their
footprints and I needed to be a sniper.
526
00:33:52,229 --> 00:33:53,520
I need to be stalking them.
527
00:33:53,969 --> 00:33:55,409
You know, I need to be a fishermen.
528
00:33:56,189 --> 00:33:59,879
I need to cast a line in the area where
I think they're going to be, you know,
529
00:33:59,939 --> 00:34:01,770
biting and then maybe catch up on.
530
00:34:03,180 --> 00:34:06,180
All those analogies are the
same way, whatever it takes
531
00:34:06,180 --> 00:34:10,320
for you to find enjoyment out
of this, that's what it needs.
532
00:34:10,409 --> 00:34:11,429
That's what needs to happen.
533
00:34:11,850 --> 00:34:14,700
If you look at it as a daunting
task, or if you like, this is a lot
534
00:34:14,700 --> 00:34:17,700
of work and even I don't want to, I
don't even want to trade commodities.
535
00:34:18,240 --> 00:34:21,659
If you think that, then you're
going to hit a plateau in your
536
00:34:21,659 --> 00:34:22,889
understanding and your analysis.
537
00:34:22,950 --> 00:34:26,220
Even if you don't agree
with me now, trust.
538
00:34:27,375 --> 00:34:31,755
You'll want to come back to this whole
month content because it's going to lend
539
00:34:31,755 --> 00:34:35,205
well to your overall analysis because
you want to be finding these big moves.
540
00:34:35,895 --> 00:34:37,665
It's one thing to be a position trader.
541
00:34:37,995 --> 00:34:38,475
Okay.
542
00:34:39,345 --> 00:34:43,845
But if you can find big moves,
that's going to happen in
543
00:34:43,845 --> 00:34:45,975
magnitude and in short order.
544
00:34:45,975 --> 00:34:47,535
And now it's real quick, fast moves.
545
00:34:48,525 --> 00:34:50,535
Not that they complete real quick.
546
00:34:51,614 --> 00:34:53,264
That has covered a lot of ground fast.
547
00:34:53,685 --> 00:34:56,085
That's what these mega trades look like.
548
00:34:56,534 --> 00:34:59,265
And I'm purposely avoiding a lot
of examples because I'm going to
549
00:34:59,265 --> 00:35:03,884
have a live session with you, you
know, in the beginning of the week,
550
00:35:03,884 --> 00:35:06,674
or I'm going to give you homework
to look for specific things.
551
00:35:06,674 --> 00:35:13,185
And if I've wasted the exercise
here in the teaching, it, I see.
552
00:35:14,025 --> 00:35:18,585
And Rob you of the opportunity of learning
by you, going into the charts yourself.
553
00:35:18,765 --> 00:35:21,435
So I'm going to give you some insights
at the beginning of the week to
554
00:35:21,435 --> 00:35:24,255
look for something and then we'll
go over it and reveal it again.
555
00:35:28,384 --> 00:35:31,625
So your homework for now, because there's
going to be two homework assignments,
556
00:35:31,654 --> 00:35:33,995
one because of this recordings lesson.
557
00:35:34,654 --> 00:35:40,745
And then on Tuesday, I'll give you
another homework due for Thursday's recap.
558
00:35:42,945 --> 00:35:44,925
Your homework is with
the benefit of hindsight.
559
00:35:45,495 --> 00:35:46,545
I would like for you.
560
00:35:46,875 --> 00:35:51,555
And I'm encouraging you to look
at 2016, study the big movers in
561
00:35:51,555 --> 00:35:54,135
the commodity markets in 2016.
562
00:35:55,755 --> 00:36:01,015
See if you can see these things that's
being described in this lesson, we're
563
00:36:01,015 --> 00:36:05,055
going to be revealing 2000 sixteens,
examples, this coming Friday, and
564
00:36:05,055 --> 00:36:08,485
I'm going to teach you how to go back
and look at previous data and old
565
00:36:08,485 --> 00:36:09,985
charts to pull up the information.
566
00:36:11,325 --> 00:36:12,915
Some of, you may not
know that, do that now.
567
00:36:12,975 --> 00:36:13,635
That's okay.
568
00:36:13,845 --> 00:36:15,105
Just look at a weekly chart.
569
00:36:15,795 --> 00:36:16,035
Okay.
570
00:36:16,065 --> 00:36:20,385
Go through all the commodities that's
been outlined here, and I purposely
571
00:36:20,385 --> 00:36:27,435
kept the commodities that are currencies
and interest rate out because there
572
00:36:27,435 --> 00:36:33,855
are going to be respective lessons in
this month as well, but we're going
573
00:36:33,855 --> 00:36:35,775
to go through a live webinar or.
574
00:36:36,705 --> 00:36:39,165
This coming Friday, we're
actually going to go through
575
00:36:39,165 --> 00:36:42,165
all of the big movers from 2016.
576
00:36:42,735 --> 00:36:48,105
But until then, I want you to go through
and find out as much as you can by way of
577
00:36:48,134 --> 00:36:53,805
price action, which movers took place last
year, couple it with the dollar index.
578
00:36:54,225 --> 00:36:54,495
Okay.
579
00:36:54,495 --> 00:36:58,154
Whatever insights you can glean from
hindsight with the dollar, whether
580
00:36:58,154 --> 00:37:01,515
they're going up or down, it's going
to be an inverse relationship that
581
00:37:01,515 --> 00:37:02,444
you're going to be looking for.
582
00:37:02,985 --> 00:37:03,255
And then.
583
00:37:05,194 --> 00:37:08,165
Look for each sector's
bigger, biggest mover.
584
00:37:08,825 --> 00:37:09,215
Okay.
585
00:37:09,215 --> 00:37:13,235
And see if you don't see these
characteristics seen in those respective
586
00:37:13,235 --> 00:37:18,634
sectors, and I want you to not be bored.
587
00:37:18,634 --> 00:37:19,745
I don't want you to think about it.
588
00:37:19,745 --> 00:37:21,455
Like, oh, this is not
going to lead to anything.
589
00:37:21,455 --> 00:37:22,415
I'm a Forex trader.
590
00:37:22,835 --> 00:37:25,715
I promise you, it will get you to another.
591
00:37:26,549 --> 00:37:30,270
Level of understanding about what
the market's doing, why it's doing
592
00:37:30,270 --> 00:37:33,180
this, because there's also going to be
currencies that do these types of things.
593
00:37:33,600 --> 00:37:33,930
Right now.
594
00:37:33,930 --> 00:37:36,569
We're just talking in general
terms about commodities as a whole.
595
00:37:37,049 --> 00:37:42,779
I've removed the currencies as it's an
individual sector, I've removed the bond
596
00:37:42,779 --> 00:37:44,609
market as its own individual sector.
597
00:37:45,029 --> 00:37:47,819
I've removed the indices as
its own individual sector.
598
00:37:48,180 --> 00:37:48,480
Okay.
599
00:37:48,480 --> 00:37:49,649
So when we talk about.
600
00:37:50,460 --> 00:37:56,130
Uh, you know, stocks, that's going to be
also a one, that's a lot of information,
601
00:37:56,130 --> 00:38:01,470
but for this particular lesson, I want you
to look at all of the big moves that took
602
00:38:01,470 --> 00:38:07,050
place in the year 2016 in the commodities
market, go through all the grains, which
603
00:38:07,050 --> 00:38:13,620
are there's three corn, soybean and
wheat go through the meats, which is
604
00:38:13,650 --> 00:38:15,540
live cattle, feeder, cattle, and lean.
605
00:38:17,380 --> 00:38:22,600
Look at coffee, cocoa sugar,
orange juice, and, uh, cotton.
606
00:38:24,190 --> 00:38:28,150
And look at gold and silver.
607
00:38:29,410 --> 00:38:36,820
Look at heating oil, crude oil, and see
if you don't find nice big moose that
608
00:38:36,820 --> 00:38:41,500
are very clearly shown by professional
accumulation or professional distribution.
609
00:38:42,300 --> 00:38:43,530
By way of price action.
610
00:38:43,710 --> 00:38:45,780
And you simply using the dollar index.
611
00:38:46,080 --> 00:38:50,460
Now, again, we're going to build on this
in August when I give you a step-by-step
612
00:38:50,460 --> 00:38:54,960
procedure, where you go through each
thing to look at, and if it doesn't have
613
00:38:54,960 --> 00:38:58,740
any information, you're going to wait
for more information, or it may take you
614
00:38:58,740 --> 00:39:03,570
to go back to the previous stage and you
wait, and you're gonna find that there is
615
00:39:03,570 --> 00:39:06,800
a methodical approach to doing all this
stuff where it seems fragmented, right?
616
00:39:07,904 --> 00:39:12,825
That's okay, because I'm, I'm leaving
things for your discovery that you'll
617
00:39:12,825 --> 00:39:17,745
find in your actual exercises and
like this homework while you're going
618
00:39:17,745 --> 00:39:21,555
through and looking at it, invariably,
some of you are going to not come away
619
00:39:21,555 --> 00:39:23,444
with anything fruitful and that's okay.
620
00:39:23,475 --> 00:39:25,755
Because when we do the live
session and I break it down,
621
00:39:25,755 --> 00:39:26,805
you'll be like, okay, I got it.
622
00:39:27,075 --> 00:39:31,005
Some of you will be pleased to see
that you see the same thing that I'm
623
00:39:31,005 --> 00:39:33,255
going to pull out in our live session.
624
00:39:33,990 --> 00:39:38,820
And that will be a, another milestone for
your confidence and your, and your growth.
625
00:39:39,900 --> 00:39:44,070
But even if you think you're never
going to trade commodities, and that
626
00:39:44,070 --> 00:39:47,520
may be true, and I'm not trying to
twist anybody's arm here, uh, the trade
627
00:39:47,550 --> 00:39:52,640
commodities go through this process, go
through this procedure because I promise
628
00:39:52,660 --> 00:39:57,210
when you do it, it will build a greater
understanding about the market price
629
00:39:57,210 --> 00:39:59,610
action as a whole, and you as a trader.
630
00:40:00,630 --> 00:40:03,060
So get into those treasure maps or.
631
00:40:04,125 --> 00:40:08,355
Price charged as we call them and find
these big moves that took place in 2016.
632
00:40:08,565 --> 00:40:11,325
And we'll talk about them in a
live session this Friday coming up.
56633
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