EXPOSING How Banks Hide their Trades — Transcript
Full transcript
- 0:00After 7 years of trading, by myself,
- 0:02with prop firms, live in front of
- 0:05millions of people, sometimes
- 0:06successfully,
- 0:08It's a great session, guys. sometimes
- 0:10unsuccessfully, [ __ ] my pants, bro.
- 0:12Guys, I'm calling it a day. [ __ ] this
- 0:15market. and talking and trading side by
- 0:17side with some of the best traders in
- 0:18the world, I understood that if there is
- 0:20one thing you should know as a trader is
- 0:22liquidity. Because liquidity is the
- 0:24driver of markets. And we've been
- 0:26talking a lot about how liquidity works,
- 0:28about order flow, and the interaction
- 0:30between aggressive liquidity and passive
- 0:33liquidity. And with liquidity heat map
- 0:35softwares like Deep Dome, you can see
- 0:37where these resting liquidity areas lie
- 0:40in the market without assuming that
- 0:41there's some stops up there, maybe. But
- 0:44you can actually see those orders in the
- 0:46books of each exchange with something
- 0:49called level two data. And this is
- 0:51awesome because market are typically
- 0:53attracted by these liquidity areas.
- 0:55Sometimes even a normal heat map with a
- 0:57normal data feed will not be able to see
- 1:00all the liquidity. Sometimes, it's
- 1:02hidden where even normal order flow
- 1:05can't see. And below the surface level,
- 1:07one of the most common patterns
- 1:09institutional traders use in the
- 1:11professional space to hide these huge
- 1:14orders below the surface is called
- 1:17iceberg. Imagine it exactly like an
- 1:19iceberg. An iceberg might have 10% of
- 1:21its mass above the surface of the sea,
- 1:23but the biggest chunk of the iceberg is
- 1:25[music] below the surface. You can't
- 1:27really see it. Well, institutional level
- 1:29traders that trade with institutional
- 1:31level size will do exactly the same
- 1:33thing with their orders. They will show
- 1:35only some in the surface and hide the
- 1:38rest below. But here's the catch. With
- 1:40the right tool and with the right data
- 1:42feed, you can spot it. And you can see
- 1:44where smart money is really entering the
- 1:47market [music]
- 1:48with a level of precision that no other
- 1:49trading tool can give you. So, let me
- 1:51introduce you to icebergs. We're going
- 1:54to see the mechanic behind it, how it
- 1:56works, how to set up a heat map software
- 1:59from scratch in order to be able to see
- 2:01these orders, and how to use this
- 2:03information and when. So, let's start
- 2:05from understanding that there's a
- 2:06difference between the classic retail
- 2:08liquidity concepts and actual liquidity.
- 2:10So, we need to kind of clarify for those
- 2:11who, you know, are still maybe in the
- 2:14usual ICT concepts or the usual suspect
- 2:16of the trading space where you believe
- 2:19liquidity to be stop losses or buy stops
- 2:22above a high and sell stops below a low
- 2:26that price will eventually target, price
- 2:28will eventually hunt for, which is
- 2:31typically buy stops and sell stop. Well,
- 2:33that's just partly true, that's just one
- 2:35side of the liquidity. That's just like
- 2:37seeing not even half the picture. This
- 2:39is like, uh, let's say 10% of the
- 2:43picture, right? Of what liquidity
- 2:44actually is. This is 10% of the
- 2:46liquidity. The actual liquidity is a
- 2:49concept that is a little bit more
- 2:51nuanced, and actual liquidity is what
- 2:54actually moves the market. Passive
- 2:56liquidity, which are buyers and sellers,
- 2:59so buy buy liquidity below the price and
- 3:02sell liquidity above the price, and
- 3:04aggressive liquidity, that are these
- 3:06bubbles that we're going to learn what
- 3:08exactly they are. So, you have one side
- 3:11of the liquidity, which is called
- 3:12aggressive, one side that's called
- 3:14passive. These are so-called market
- 3:16takers, these are the market makers.
- 3:18These make the markets, these take the
- 3:21markets. And this is how liquidity
- 3:23actually works. This is what liquidity
- 3:25actually is. And to read liquidity in
- 3:28this way gives you a more comprehensive
- 3:30view about the market than just
- 3:32considering one side of the liquidity to
- 3:34be the only liquidity you need to care
- 3:35about, right? So, let's start from
- 3:37understanding the very basics. So, this
- 3:40is an order book, okay? And you have it
- 3:42for every market. For example, let's say
- 3:44this is the price of an ounce of gold,
- 3:47of Bitcoin, of US oil, or, you know, the
- 3:50S&P 500, whatever that might be, right?
- 3:53And all This thing basically means that
- 3:55at 101, at this price, there are 33 sell
- 4:01offers. Okay? So, there 33 people
- 4:04placing one contract each, for example,
- 4:05or one guy placing 33 contracts or 33
- 4:08Bitcoin or 33 gold futures or 33 Nasdaq
- 4:12future for sale. Okay? So, he's
- 4:14basically offering to sell. Just
- 4:16offering. He didn't sell it yet. He
- 4:18needs someone of these guys then to
- 4:21accept that offer. We're going to see
- 4:22that how that works. Above here, we have
- 4:2542 Bitcoins ready to be sold. 56 Bitcoin
- 4:29ready to be sold. 64 Bitcoin ready to be
- 4:31sold. So, these are the offers of
- 4:34sellers, the so-called ask. And the best
- 4:37ask, of course, is the lowest price at
- 4:39which someone is ready to sell, which is
- 4:41best ask, 101. This, instead, is the
- 4:44bid. So, all of these are market buy
- 4:48orders. So, they're buy limit and
- 4:50they're offering to be a buyer at, for
- 4:53example, 99. So, there's Then you have
- 4:5533 at 98, 51 Bitcoins at 97, 60 Bitcoin
- 5:00at 96, and so on and so forth. So, if
- 5:02you were to buy, for example, let's say
- 5:04you want to buy Bitcoin. You have two
- 5:06options. You either join the offers and
- 5:08place your buy limit here and basically
- 5:11be a passive buyer and be a market
- 5:14maker. You offer to buy. You offer to
- 5:15buy your own terms. I want to buy only
- 5:17if price gets to 98. Or, you can And And
- 5:22that will mean that you have to wait for
- 5:24a seller to come and accept that offer.
- 5:27Okay? The other option you have, if you
- 5:29don't want to wait, if you cannot afford
- 5:31to wait, is you can buy, for example,
- 5:34one uh Bitcoin or 50 Bitcoin, whatever
- 5:36that is. You can buy them from these
- 5:38guys, cuz these guys are offering to
- 5:39sell right now. Like, they're ready to
- 5:41sell if you accept to pay that specific
- 5:44price, 101. So, let's say you're in a
- 5:47hurry, you need to buy Bitcoin now.
- 5:49Perfect. You're going to accept that
- 5:51offer and buy your Bitcoins from them.
- 5:54So, you either wait for a seller to come
- 5:56to you, or you go to the seller and you
- 5:58accept their offer. This is why we call
- 6:00this market takers and market makers
- 6:03because these are like the meat at the
- 6:05counter, right? This is meat. Buy meat
- 6:09and sell meat. Do you want to give some
- 6:11meat? You know,
- 6:12>> [laughter]
- 6:12>> it's a bit weird. Do you want to offer
- 6:14some meat or do you want to take the
- 6:16meat, right? So, these one eat the
- 6:19liquidity, the passive liquidity, and
- 6:21basically accept to pay a slightly
- 6:23higher price, just like in an auction,
- 6:25right? So, as we will see now, let's say
- 6:27a buyer comes, right? A buyer comes and
- 6:30needs to buy now 25 contracts, 25
- 6:33Bitcoins, whatever that is, and he's
- 6:34accepting to pay a slight spread. So,
- 6:37instead of, you know, buying at 99,
- 6:40where most of the buy offers are, he
- 6:42actually accepts a sell offer at 101.
- 6:45one and gets filled. So, out of those 33
- 6:48contracts, 25 will be executed and
- 6:50matched with these, and eight will be
- 6:52remaining at 101. Now, a seller comes,
- 6:55an aggressive seller that cannot wait
- 6:57for someone to fill him. Someone that
- 7:00actually needs to sell now aggressively,
- 7:02and he eats with his 25 contracts, he
- 7:05eats some 25 of those 41 that is passive
- 7:09liquidity at 99. So, they consume that
- 7:12liquidity, only 16 are left. Then,
- 7:14another buyer come. This one is a big
- 7:15buyer, 75 Bitcoins. Well, there's no 75
- 7:19Bitcoin at 101. Maybe he will take some
- 7:23here and some over here. So, he will be
- 7:25able to fill eight right here, and now
- 7:28the best ask will move here, and there's
- 7:3042. Now, he still has 67 that he he
- 7:33wants to buy. Well, 42 will be eaten
- 7:36completely, and the remaining 25 will be
- 7:38eaten above. So, with one big order, he
- 7:41was able to eat this liquidity, this
- 7:44liquidity, and this liquidity. And his
- 7:47order basically got slipped, we say.
- 7:49This is called slippage when you buy
- 7:52some here, buy some here, buy some here,
- 7:54you get slipped because there's not
- 7:55enough liquidity to fill all of your
- 7:57order at the same place. So, this is
- 7:59called slippage. So, the main takeaways
- 8:02from these are you can either be
- 8:03passive, so you buy or sell at the price
- 8:06you want, so you have pricing authority,
- 8:08but you have no guarantee that you're
- 8:09getting filled, right? You can place
- 8:11your buy limit here and hope that
- 8:13someone will fill you, or you can act
- 8:15now and choose to accept these slightly
- 8:18less inconvenient, slightly more
- 8:20inconvenient sell offers. Or you can be
- 8:22aggressive. You can buy and sell when
- 8:24you want, so you have execution
- 8:26authority, but you'll likely pay a worse
- 8:29price, which is the spread, right? And
- 8:31this brings us to a very important
- 8:33concept. Because if your size is a
- 8:35retail trader size, okay? And you buy
- 8:38Bitcoin, for example, have you ever had
- 8:39a problem buy Bitcoin? Not really,
- 8:41right? Or buying anything in financial
- 8:43markets? No, because your size is so
- 8:45small that you will be easily executed
- 8:47inside of the market. Maybe there's a
- 8:49market maker, maybe there is some other
- 8:51traders that is your counterpart at any
- 8:54moment. And because your size is small,
- 8:56let's say you're you have a five
- 8:57contract [snorts]
- 8:58order, well, it's going to be easy for
- 9:00you to find a seller. But let's say
- 9:01you're Blackrock and you need to buy 5
- 9:04million of contracts. Well, it's not
- 9:07going to be that easy because if you
- 9:09were to buy now, because if you have to
- 9:11buy all of them at once, you have two
- 9:14options. You either place an enormous
- 9:17buy order here, everyone will see it in
- 9:19the book, and no one will ever think of
- 9:22selling to you because you probably know
- 9:23something they don't. So, everyone will
- 9:25start buying because they'll try to
- 9:27front-run you. But at the same time, if
- 9:29you choose to buy all of these markets,
- 9:31you're going to have to accept to pay
- 9:33higher and higher and higher and higher
- 9:35prices and be slipped all the way up and
- 9:38move price super fast. And that's also
- 9:41inconvenient. So, what happened is some
- 9:44mathematicians thought about, "Hey, how
- 9:47about we take this huge order, and we
- 9:50split it into multiple small ones. And
- 9:52we pour it in the market a little bit at
- 9:54a time, a little bit at a time, a little
- 9:56bit at a time, and basically fraction
- 9:59this order into multiple millions of
- 10:02small orders, right?" So, the first step
- 10:05is they fraction these orders. The
- 10:07second step is they optimize. So, maybe
- 10:10some of these will be placed here in the
- 10:13book. Some will be used market to see if
- 10:16they can get some good fill with the
- 10:18sell offers. So, they will optimize the
- 10:21filling of their order to pay a little
- 10:23less spread, and at the same time have a
- 10:26little bit less transactional cost by
- 10:28placing these buy offers instead. So,
- 10:31this brought up a huge science behind
- 10:33this that basically tries to understand,
- 10:36"How do we optimize the execution of the
- 10:38orders?" How many do we put
- 10:40aggressively, and how many do we put
- 10:42passively? And there's a lot of, you
- 10:44know, algorithms that try to optimize
- 10:46this. For example, the VWAP, the TWAP,
- 10:48percentage of volume, implementation
- 10:50shortfall, and many other that basically
- 10:53try to optimize the filling of these
- 10:55orders so that the transaction cost of
- 10:58huge operator is optimized, and they can
- 11:01have some alpha also, and some
- 11:03optimization in the way they execute
- 11:04these huge orders. So, so that's why
- 11:07there is some level of predictability in
- 11:08order flow because typically when
- 11:10there's huge market participants coming
- 11:12into the market, and they put a lot of
- 11:13orders, well, this is likely a small
- 11:15part of a huge meta order that they're
- 11:17planning to put in the market, right?
- 11:19And so, typically bullish order flow
- 11:21will lead to more bullish order flow,
- 11:24okay? And we can see these order flow in
- 11:26these type of charts that we're going to
- 11:27see very soon. And so, because there is
- 11:30a constant need for liquidity by these
- 11:33huge market participants because they
- 11:35have so many freaking orders to fill and
- 11:37there's only so many in the markets.
- 11:40Well, if there's going to be something
- 11:41like this happening when there's a huge
- 11:44bunch of meat right below here, what
- 11:47will tend to happen is that market will
- 11:50be attracted by these areas and they
- 11:52will push price down and they will push
- 11:54price down and eat all of that
- 11:57liquidity. This is the principle behind
- 11:59the liquidity heat map. The liquidity
- 12:01heat map is nothing more than if you
- 12:03were to give a heat score to how much
- 12:06liquidity there is, you will have very
- 12:08hot areas where there's a lot of
- 12:10liquidity and kind of not so hot areas
- 12:12where there's not a lot of liquidity,
- 12:14right? So, big liquidity areas, hot.
- 12:17Small liquidity areas, cold or not so
- 12:19intense. And with some specialized
- 12:21software, you can also see not just the
- 12:24current depth of market and the current
- 12:26liquidity, but how this liquidity
- 12:28changed through time. If an order, for
- 12:30example, was moved first here, then
- 12:32here, then here. If some orders were
- 12:35completely deleted and every single
- 12:38order, buyer or seller, aggressive, of
- 12:40course, that ate the best liquidity
- 12:43offered. So, this is an example of an
- 12:45actual liquidity heat map. And as you
- 12:47can see, there's going to be some hot
- 12:49levels and here you have all of the the
- 12:52current level of liquidity areas. And
- 12:55here you can see you have a 465
- 12:58contract order right up there. And as
- 13:01you can see, the the first thing that
- 13:02happened right after is that price pumps
- 13:04up incredibly fast and goes and eat that
- 13:08level of liquidity. The The run towards
- 13:10this level of liquidity was really,
- 13:12really obvious. As it was here, right?
- 13:14They were both of these orders. The
- 13:16first order got taken and then the other
- 13:19one got taken care of as well, okay? So,
- 13:21price will be drawn to these liquidity
- 13:23areas. And with the software like this
- 13:25one, you can see also the bubbles. So,
- 13:27this is the first step, right? So, you
- 13:28kind of understand that um but as we
- 13:31said, sometimes market participants
- 13:33don't want to advertise their position.
- 13:36They don't want to show that they want
- 13:38to sell or buy. So, what they will do is
- 13:40they will only show, for example, eight
- 13:43orders offered to buy, but every time a
- 13:46seller comes and accepts that offer,
- 13:49every time one of these bubble pops up
- 13:51and eats that liquidity, a new fresh
- 13:53liquidity is presented. Once that one is
- 13:56eaten as well, a new liquidity magically
- 13:59pops up and so on and so forth until
- 14:01they've basically filled this huge order
- 14:05without showing it and without creating
- 14:07a liquidity effect, a seeable liquidity
- 14:10area, but by hiding it below the
- 14:12surface. And with the And with a normal
- 14:15heat map like this one, you cannot even
- 14:16see this. Because if I click and go to
- 14:18source settings, you can see that the
- 14:20source type is MBP, but I should put
- 14:24MBO. What does that mean? Good question.
- 14:27Let's kind of refresh our minds on how
- 14:29data feeds work. So, all trading
- 14:31activity, all order flow happens inside
- 14:33of an exchange. In our case for Nasdaq
- 14:35and S&P futures, it's the CME, the
- 14:38Chicago Mercantile Exchange, and this is
- 14:39where all the transactions happen. So,
- 14:42what you can do is you can ask for the
- 14:44exchange to provide you with this
- 14:46information, with the information of
- 14:48order flow, with all of these orders
- 14:50that are entering the market. So, the
- 14:51exchange will send the order to a data
- 14:53feed provider like Rithmic, CQG, and
- 14:56DXFeed that will be fed to, for example,
- 14:59an order flow platform like deep charts,
- 15:01like deep DOM as a stream of order flow
- 15:05data, a live stream of order flow data,
- 15:08so that ultimately you can see it in
- 15:11your charts. So, this type of data feed
- 15:14can show up in many different versions.
- 15:16The first one being level one. A level
- 15:19one data is typically very cheap,
- 15:21sometimes provided even for free, And
- 15:23what a level one data feed or top of
- 15:26book shows you is mostly all of the
- 15:29executed orders, whatever amount of
- 15:31orders in the best bid, whatever amount
- 15:32of orders in the best ask. That's it.
- 15:34You cannot see a liquidity heat map like
- 15:37this one if you have a level one data
- 15:40feed because you would probably see only
- 15:41this 17 and 53, only the first two best
- 15:45level. And you will not see the entire
- 15:47treasure map, if you know what I'm
- 15:49talking about. But this is good enough
- 15:50if, for example, you want just a
- 15:52footprint chart. A footprint chart like
- 15:54this one where you can see how many
- 15:55orders were executed at every price
- 15:57level once they're already executed. So,
- 16:00for volume profiles, for footprint
- 16:01charts, for delta, and all this kind of
- 16:04stuff, level one is technically good
- 16:06enough. But if you want this, it's not.
- 16:09So, that's why you need a level two data
- 16:13feed, which basically is which is known
- 16:15as full market depth, which is the full
- 16:19which shows you the full depth of
- 16:20market, the full order book, and every
- 16:23single liquidity level at every price,
- 16:26not just the best bid and the best ask.
- 16:28Plus, of course, your good old bubbles
- 16:31or orders. So, this is both good for
- 16:33footprint chart and also good for heat
- 16:35map because a heat map needs all of the
- 16:38levels of the book in order for it to
- 16:40make sense and show you the liquidity
- 16:42areas that matter. But this is just an
- 16:45MBP data feed, which means market by
- 16:49price. So, you'll see how much market
- 16:52there is at every single price. Market
- 16:56by price. But here, these 78 contracts
- 17:00can be one guy putting 78 contracts, it
- 17:02can be 78 small retail guys playing
- 17:05placing one contract each. And with MBP,
- 17:09you will never be able to learn the
- 17:11difference. So, with a data feed like
- 17:13CQG, they will typically provide level
- 17:16two but with MVP. But, feeds like the X
- 17:19feed or rhythmic will provide a MBO data
- 17:24feed, which is still level two, as in
- 17:26you see all of the orders of the order
- 17:28book, but some people also call it level
- 17:31three because it doesn't show you just
- 17:32the full market depth, but it also shows
- 17:34you the market by order. So, how many
- 17:37orders are in each and every single
- 17:40level of the book, so you can know if
- 17:43that's one big guy or multiple small
- 17:45guy. Both on the passive side and also
- 17:48on the aggressive side. So, each
- 17:50aggressive order and each passive order
- 17:53have their own unique order ID. And this
- 17:57is the most granular level of order flow
- 17:59data money can buy. But, why do you need
- 18:01to know this exactly? Well, back to our
- 18:03iceberg. The thing about iceberg orders
- 18:06is that even though they look like
- 18:08multiple small orders, they all have the
- 18:11same order ID. So, thanks to MBO data
- 18:15feeds, we can see that these small
- 18:18orders of eight contracts have the same
- 18:20order ID, so they're likely part of one
- 18:23big order. And we can spot institutions
- 18:26hiding these orders thanks to MBO data.
- 18:30And the platform you're about to see, by
- 18:31the way, is called deep dome, and we've
- 18:32just released it on deep charts. And if
- 18:35you have an active deep chart
- 18:36subscription, you can get it as a
- 18:37lifetime add-on at like $300. Of course,
- 18:40as an add-on to your current active deep
- 18:43chart subscription, which is awesome.
- 18:44So, so if you want to get your hands on
- 18:45the same software, click the link in the
- 18:46description because these launch prices
- 18:48are going to end very soon. And on top
- 18:50of that, you get a liquidity bootcamp
- 18:52from Enrico Stucky, Fabio Valentini, my
- 18:54mentors in order flow, and our friend
- 18:56Carmine Rosato. It's going to be
- 18:57awesome, so I'll see you there. Now,
- 18:58back to our heat map. So, what I'm going
- 19:00to do now is I am going to right click,
- 19:03go on to source settings, and select
- 19:06MBO. And as you can see, nothing has
- 19:08changed. Why is nothing exchanged?
- 19:10Because, of course, I'm only plotting a
- 19:13normal liquidity heat map. I still
- 19:14didn't activate the iceberg tracking.
- 19:17But the first thing I could do for
- 19:18example is I can go on properties and on
- 19:21the heat map DOM levels section, if I if
- 19:25I go on display mode biggest order and
- 19:28total, you will now see that there's you
- 19:31know you will now see that something has
- 19:32changed in our heat map. Now not only
- 19:34you can see how many orders there are
- 19:36but also what is the big order inside
- 19:39there. So you can know for example that
- 19:41this guy is a 795
- 19:44contract guy. Not exactly a retail,
- 19:46right? This is not a crowd of retails.
- 19:49And this is very good. This is very good
- 19:52information to know. Also here we knew
- 19:54that 400 was just one guy. Same same
- 19:57thing over here, 94 was just one guy out
- 20:00of this 135. And so at this point I can
- 20:03go into right click and indicators or go
- 20:05up here and click on indicators and add
- 20:09the deep iceberg tracker. And there you
- 20:11go. Now we can have a clear
- 20:14representation of when there's an
- 20:17iceberg in the market. And for example
- 20:19here throughout this whole market phase,
- 20:22you can see there was an iceberg for 125
- 20:25contracts hidden below the surface. So a
- 20:28seller started accumulating here,
- 20:30started accumulating here, and
- 20:32accumulating here again. And price and
- 20:35price dropped before the news came out.
- 20:38But also in the middle of this
- 20:40happening, of this mess, you could
- 20:42clearly see there was a big buyer
- 20:44reloading and a big seller. There was a
- 20:47huge battle over here. But this is, you
- 20:49know, what happens during news events.
- 20:52But this is, you know, a typical mess
- 20:53that happens during news event. And now
- 20:56markets are closed and today, you know,
- 20:57it was bank holiday, whatever. I think
- 21:00it's best if we click on options and
- 21:03replay and maybe go to a the day
- 21:05instead. I'm going to include MBO on my
- 21:08replay and set. It's going to load the
- 21:10data for the replay. Let's take some
- 21:12look Let's take some more contrast in so
- 21:15we can see. And as you can see there's a
- 21:17lot of these icebergs in the New York
- 21:18session. There's a lot of institution
- 21:20buying and selling and buying and
- 21:22selling at every single level of price.
- 21:24So what we can do, another cool thing we
- 21:26can do, is for example, we can go on
- 21:29indicators, iceberg, and filter out only
- 21:33big icebergs. Let's say above 150
- 21:36contracts. So let's apply. Now this is
- 21:38much cleaner. Now you don't have the
- 21:39small icebergs. The small institutional
- 21:42orders. We just have the big guys. And
- 21:44when you filter for the big guys, look
- 21:46at what happens. Iceberg here, probably
- 21:49keeps reloading here. Boom. Price drops.
- 21:52This was the high of the entire session.
- 21:55Price melted right after this huge
- 21:58iceberg. Then we had some reversal and
- 22:00we touched the bottom here. Where did we
- 22:03touch the bottom? On the obvious
- 22:04liquidity area? No, sir. We touched it
- 22:08on the liquidity areas plus with an
- 22:11iceberg of 160 contracts as well. So
- 22:14they were not satisfied over here. They
- 22:17filled an order and then they reloaded
- 22:18160 more two contracts at a time. And
- 22:21exactly when these moments happen, where
- 22:24these huge market participants absorb
- 22:27all of the market pressure of buyers,
- 22:29they build this wall of liquidity that
- 22:31buyers can't pierce through, price
- 22:33melts. They do the same thing on the buy
- 22:35side. Huge buyer here absorbing all of
- 22:37these selling pressures and boom, that
- 22:40plots the low of the market and price
- 22:42reverses. And and so on and so forth. Of
- 22:46course, it doesn't happen every single
- 22:48time. As you can see here, there was a
- 22:50huge liquidity level that responded and
- 22:52then these There was a huge buyer here
- 22:54that kept buying here, that kept buying
- 22:57here. So he kept buying all the way
- 22:59through. He didn't really plot the low.
- 23:01This could be either a guy taking
- 23:03profits on shorts as well, or a guy
- 23:06reloading a lot of buying contracts
- 23:08because he has a buy program and he
- 23:10ultimately knows that, you know, we're
- 23:12buying today. And at some point in the
- 23:14day that's exactly what happened and
- 23:16price completely reverses above that
- 23:18huge accumulation level. So, of course,
- 23:20they're not going to plot the high every
- 23:22single time. I wish it was like that,
- 23:24but if it was like that, we would all be
- 23:26rich. But, of course, you need to give
- 23:27it context. You need to put it in the
- 23:29context for example, of let's say an
- 23:31opening range breakout strategy or maybe
- 23:34you want to have your daily volume
- 23:36profile activated and see which are the
- 23:39areas where this is happening, right?
- 23:41So, for example, you might just want to
- 23:43take a look at things that happen only
- 23:46at the value area highs or at the edges
- 23:49of the profile and then you know it's
- 23:51right where I want to see it, right?
- 23:53And, you know, this kind of stuff,
- 23:55giving it a little bit of context.
- 23:56There's some other really cool stuff
- 23:58that, of course, you can do. No, wait.
- 24:00You can, of course, customize it however
- 24:01you like it. Let's say I want to have it
- 24:03red. I want to have it green, more
- 24:06punchy. Active icebergs are basically
- 24:08icebergs that haven't yet filled
- 24:10completely. So, icebergs that were not
- 24:12completely filled. So, yeah, now that's
- 24:14a lot better. Now I can see them better.
- 24:16Let's now Let's now try and replay
- 24:18another day. Come on. Okay. Buggy trace.
- 24:21Okay, this Let's Let's try this day.
- 24:23This is another example. Yeah, here we
- 24:25saw a guy buying 150 contracts hidden
- 24:29below the surface. Then another guy
- 24:31starting to accumulate sell positions
- 24:33here and then re-accumulating sell
- 24:35positions here. So, we see that sellers
- 24:38are very active and then they start
- 24:40getting aggressive. And then when they
- 24:41go up, they start accumulating again and
- 24:44then you see price dropping like hell.
- 24:47Again, of course, this is just some very
- 24:49basic example. The ideally you want to
- 24:51backtest this in your strategy. So, I
- 24:53strongly advise you to do this to see if
- 24:56they happen, for example, at some
- 24:57specific areas of the volume profiles
- 24:59like this one, like this one over here,
- 25:01where is the exact value area? That's
- 25:03where they start accumulating sell
- 25:04positions. Well, that's a good
- 25:06indication that price might continue
- 25:07lower after that. Or maybe they do it
- 25:10right above a important high. That's
- 25:13also another cool place to look for
- 25:14these to spot some very high probability
- 25:17reversals. Let's try to replay this in a
- 25:19session, but at the beginning of the
- 25:21session. So, at 4:30 my time, which
- 25:23would be 9:30 market time. So, we have I
- 25:26don't know if that was a news, but look
- 25:28at what happened here. And you're going
- 25:29to start seeing this working very well
- 25:32in London sessions, by the way. London
- 25:34session is where, you know, big orders
- 25:36like these, or let's say before the
- 25:38regular trading hours, right? Because
- 25:39regular trading hours starts here. When
- 25:41this happens in the London session or in
- 25:44the, let's say, extended trading hours,
- 25:46that's where it has the most power. Look
- 25:48at the Look at this one, bro. Huge
- 25:50absorption here. Boom. And then below
- 25:52here, another big absorption before
- 25:55market opens. Kablao. Keeps absorbing,
- 25:58and look at what happens at the
- 25:59beginning of the session. Boom. They're
- 26:00still absorbing. Well, this is clear
- 26:02It's clear where we're planning to go,
- 26:04right? Let's see what happens if we
- 26:06replay. Yep, there you go. So, for
- 26:08example, let's see if we can, you know,
- 26:10find a way to make this profitable. We
- 26:11see that we're in an accumulation area.
- 26:14And we're in an accumulation area in the
- 26:16highest volume node of the session. We
- 26:18have the value area low below here, um,
- 26:21and it ends pretty much here. This is
- 26:23another big important level, which is
- 26:25the low volume node, which is this one
- 26:26over here, the the the one highlighted
- 26:29in green. Let's see if we maybe try and
- 26:32buy there if we align ourselves with the
- 26:36smart money. So, I'm going to activate
- 26:38the trading panel and select my uh, back
- 26:40test. Okay. For example, test. And we
- 26:43see that smart money is buying now. It's
- 26:45buying here. It's buying here. It's
- 26:47still buying here. Let's see if we have
- 26:50a test on the low volume node, and maybe
- 26:52we can start buying. So, let's for
- 26:53example, say that we want to buy with a
- 26:55stop loss based on our on the money. So,
- 26:57for example, I want to risk in this
- 26:59position $5,000, let's say. We can start
- 27:02buying, right? And put our stop loss
- 27:05Nope. Nope, wait. I first have to go and
- 27:07click risk instead of quantity and I can
- 27:09buy the exact quantity when I place my
- 27:11stop loss, for example, below this low
- 27:13volume node. And then I want to add a
- 27:15little bit more if we reach the low
- 27:17volume node. So, for example, here with
- 27:19my stop below here, also below the
- 27:22entire high volume node over here. Let's
- 27:25see. Let's see if we get filled on the
- 27:26second one. No, apparently we don't.
- 27:29Let's see if we get another iceberg on
- 27:31our direction, we can for example buy
- 27:34Oh, there we go. Oh my god, this was a
- 27:361,000 contract iceberg. That's some huge
- 27:41stuff. So, let's cover ourselves below
- 27:43the highest volume node here and look at
- 27:45that. We are in the side of smart money.
- 27:481,000 contracts all absorbed. Absorbed,
- 27:51absorbed. We saw it before any retail
- 27:54could ever imagine. And as of now, we're
- 27:56probably breaking above the opening
- 27:58range breakout. Let's see if we can see
- 28:00some interesting activity. Oh, we have a
- 28:02huge sell order over here. Let's see
- 28:04what they're going to do about it. Well,
- 28:06they accumulated even more. Look at
- 28:07that. They accumulated 500 more buying
- 28:10with an iceberg. Sold a little bit, but
- 28:13200, it's not that much. Let's see if we
- 28:15can maybe put our stop to break even.
- 28:17Oh, we have more buyer absorbing. Let's
- 28:19see if we can add a position. Yeah,
- 28:21we've added a little bit more. I think
- 28:23we did. Did we? Well, the idea was to
- 28:25add a little bit more there, yeah. And
- 28:27now we see some sellers kind of
- 28:29deloading their position. So, maybe now
- 28:31it's time to sell maybe at least six
- 28:35contracts, for example. So, we're going
- 28:36to half halving our exposure so we can
- 28:40sell market, yeah. Now we only have six
- 28:42contracts of exposure and the other ones
- 28:44we can, you know, take the final profit
- 28:46when we see another big iceberg if
- 28:49there's any. Let's see. Ooh, there it
- 28:51is. Now, I was a little bit too fast, so
- 28:54let's cancel and flat. So, we unloaded
- 28:56our position. Ooh, but we have more
- 28:57buyers joining the party. We didn't have
- 28:59the time to join again, but this was
- 29:01exactly the best point to take profits
- 29:03and then maybe reload once more. And
- 29:05they reloaded again. Let's see because
- 29:08there's a huge levels of liquidity here
- 29:09plus absorbing. Yeah, there you go. And
- 29:12look at look at that again. Boom. More
- 29:14icebergs more icebergs again plotting
- 29:16the low of this move. We have some
- 29:19liquidity to go and eat here. Let's see
- 29:20if buyers are still hungry or if they've
- 29:23had enough because they've eaten a lot
- 29:25already. So, all of this liquidity now,
- 29:27let's see if they're going to be still
- 29:28hungry, but I doubt so. Yeah, there you
- 29:30go. But still, 500 contracts being
- 29:32absorbed and price moves up. Then
- 29:35another iceberg over here. Price slowly
- 29:37retraces and then moves back up. Let's
- 29:40see if they're going to finally eat that
- 29:41liquidity because this 500 contract was
- 29:44really huge. Yeah, they're deleting some
- 29:46of this. So, yeah, there you go. Amazing
- 29:49stuff. This is the world of liquidity,
- 29:52guys, and icebergs. And that was exactly
- 29:55what icebergs are, how to use them, and
- 29:58now you can also have the ability to
- 30:00read the market with the lens of
- 30:02professional traders to spot where smart
- 30:04money's entering the market for real. If
- 30:07you enjoyed this video, you want to see
- 30:08more around this topic, let me know in
- 30:09the comments. Leave a like as always,
- 30:11and I'll see you in the next one. Ciao.
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