 Cast is now starting. All attendees are in listen-only mode. Good afternoon, traders. Okay, welcome to the DX Feed Bookmap webinar. Can everyone hear me and see my screen if you just give me a yes in the questions there? All right, yeah, it looks like I'm broadcasting just fine here. Screen and audio. Okay. All right, well, let's get started. Okay, so what we're going to go through. Well, this new DX Feed for Bookmap and trading US equities, the data visualization that you're getting, and I'm going to show you how to get a competitive advantage today right now using DX Feed Bookmap. So let's go through it here. Risk disclaimer. Trading equities, futures, involves substantial risk of loss and is not suitable for all investors past performances, not necessarily indicative of future results. Okay, a little bit about me. My name is Bruce Pringle, trader of 10 years in a variety of markets, order flow specialist at Bookmap, the lead at the Bookmap trading education and expertise in order flow and market microstructure. Okay, for more information, you can go to bookmap.com as well as our Twitter handle at bookmap underscore pro. Subscribe to our YouTube page. Just look up Bookmap and then email us at support at bookmap.com. Okay, so pretty lofty big statement here. Trading US equities and getting a competitive advantage now. How am I going to show this? How am I going to promise this? You're here to trade equities, get more information, and to make money. Okay, so what we're going to do is we're going to look at the depth of market and we're going to be able to see all the market liquidity and all the players in the market with full depth of market. Okay, that's one of the advantages. We're going to start to read the order flow in the micro and macro structures. We're going to read the algorithmic behavior and larger players. And then I'm going to show you some examples of some Bookmap traders and how they use Bookmap, some pretty interesting examples. Okay, so we're going to look at a chart like this. This is Apple and let's see, this is back on March, March 22nd. Some interesting things in this chart. And for those of you who are new here, I just want to welcome you and looking at this chart might look like something very foreign to you. But at the end of this webinar, I'm going to show you the different distinctions in the order flow and you're going to understand the advantages you're going to get in the data visualization using Bookmap. And we'll revisit this chart at the end of the webinar and start to revisit and review some of the components that we went through for the webinar. Okay, so an overview of DX Feed Bookmap. What is it? Okay, well, it's a trading platform. It's a Bookmap trading platform with DX Feed and you can trade using DX Feed directly into interactive brokers. Okay, Bookmap is a unique visualization software. Okay, and the DX Feed allows Bookmap to connect to all U.S. equities. Okay, you also have the ability to connect to futures markets and digital currencies as well. All right, we're going to start off with a poll and just oppose the question, what is order flow? Okay, so I'm going to launch this here so you guys take a look. Okay, and if you can give me your answer here, it's a very simple poll. So just what is order flow? Okay, is it the traded volume? Is it resting orders? Is it both? Okay, because traditionally what order flow is and what order flow truly is, we have a different answer. It's kind of updated today. Okay, all right, well, let's... Okay, thanks for the answers there. And let's close it. Okay, and I should be able to get back to... Okay, so now you can see the slide again and we're back to the presentation. All right. Okay, well, it's both. That's exactly what it is. You know, you're looking at... But traditionally order flow has been just transactions following the tape, reading the tape, seeing those transactions go through. But what we're going to look at here is liquidity. It's not necessarily traded or transactions that have occurred. We're going to be looking at how the auction bitters and those that are sellers, how they affect the order flow. The amount of orders in the market, okay? So let's move on. All right, market data. So in the order flow that I was just describing, 10% of that data is in the traditional charts, like looking at your candlestick patterns or all of the charts out there. No one's showing what's happening outside of the transactions that have occurred. That's all transactions and price. And that's it. So you're looking at all sorts of bar rotations, aggregated periods, executed volume. And then on top of that, they throw a lot of different indicators. And those are derivatives of price, time and volume. Okay, now truly that is about 10% or maybe even less of the data that's out there. For example, look at a candlestick chart. It's for whatever time period you're looking at. Let's say a five minute candlestick chart. You're only getting four data points within that five minute period. You're getting open, high, low and close. Okay, a lot of opacity within that candlestick. You don't know what had occurred in there. You don't have any clue to the volume, microstructure, the amount of volume, exactly where it traded. And then how they're bidding and offering in that area as well. Okay, now in Bookmap, you're looking at 100% of the data. You're looking at the executed volume. It's non-aggregated data. There is no aggregation. There is no period of time that is like a five minute candlestick chart or a bar rotation. Even a ranko bar, it doesn't matter. There's still aggregated periods of data. And then we're going to show the full depth of market. So the auction, what's happening outside of those transactions. We're going to look at the current and the historical. And a big distinction between those two, current and historical. So the pyramid that you see over here on the right. Well, it all starts with the data. That's the foundation of understanding and knowledge, which finally goes to wisdom. So we need good data. And then from that, we can draw information. And then from that is knowledge. And then we get to that top of that pyramid. And we really understand what's going on with wisdom. Okay, so data makes the difference. Without good data, it's basically garbage in, garbage out. And DXFeed Bookmap covers all US equities, full depth of market. I'm going to describe that in just a bit. So hold on for that if you don't understand what that term means. Low latencies, servers around the globe. So very, very quick transactions and a quick amount of data. And with the DXFeed Bookmap, you're getting consolidated view of many choices here. NASDAQ Total View and NASDAQ Last Sale. That's what you get with NASDAQ. And now we're offering EdgeX, which is basically bats. You can choose either or, or you can choose both of those together as a combination. And I'll get more into the pricing and the offering here at the end of the webinar. I just wanted to upfront mention this here. Now, we're going to go back and we're going to revisit a regular dome. And using that regular dome. We're all pretty accustomed to this. This is a green mountain coffee. On this side over here, we see the bid and we see the depth of market here at these price levels. These are the liquidity providers and the amount of liquidity they're providing at these price levels. Over here is on the ask. And we can see all of the liquidity providers and where they're offering to sell at these areas. Well, the dome is good. It allows you to really start to understand orders at specific areas to be able to optimize entries, exits, and your trade management. You can see the larger players. You start to understand where they're willing to deal or not. This is what the professionals use, starting to understand that depth of market. Okay, now let's compare that dome with Bookmap. And we're just going to look at the top here, the best bid and offer. This is what it looks like here in the dome. And here's what it looks like over in Bookmap. Okay, so this vertical white line is the separation between historical to the left and then to the right here. We're looking at everything that is live. And then in this view here, what we're looking at here, this is your best offer and your best bid right here, graphically. And then here it is numerically. Now I'm looking at Apple here and we're comparing that to green mountain coffee. So, you know, just this is an older image. Okay, but that's what it looks like in Bookmap. Let's go to the next slide. Here is your depth here on the bid in the dome. And then this is what the depth is here in Bookmap. Okay, and then here's your depth on the offer. Okay, these are traders lined up here providing liquidity in Apple. They want to be sellers up in these areas. And here it is in the dome. Okay, so now you have a comparison or reference guide here to what you're looking at in Bookmap and how it translates to a dome. Okay, now the disadvantages of that dome. Well, we have no historical view. Okay, when these numbers change here, there's no history. There's no record of it. So you're going to have to start to memorize these areas. That's a big disadvantage. Okay, because how long were these traders here? How much liquidity did they provide? How much did they pull? Did they pull and add down at lower areas? Can you see that? What about on the bid? Did they switch from offer to the bid? All of these questions would be almost impossible to answer unless you have some sort of memory that can really answer those questions. It's going to be extremely hard though when you start to look at higher time frames. What about an hour ago? Were they at that price level there before? Did they pull or did they add? Or did they move it to another area? So that's some of the disadvantages with the dome. Inability to read the algos is a big part of that as well. And I just covered the tediousness of reading that dome. And now putting that in context of microstructure, of understanding just nuances in price movement and the relationship between that and liquidity and transactions. Well, what about a macro view? Let's just move away from that and look at several hours, maybe a whole day of data. It's going to be really difficult to do in a dome. And that's some of the advantages you get with Bookmap. Quick graphical representation. We get that consolidated view or feed. So everyone is at the same price level. And then you're able to start to understand the microstructural content. Here's our recent historical view here. Well, we can see sellers are in this market here. They're pushing it down. They're hitting the bid into lower areas of liquidity. And the highest liquidity is down here at the moment, down at 18624. Well, where are they on the offer? Well, they're up here. We can start to answer some of these questions down here. They traded into high liquidity that's down here as well. And traded through that area. Okay, let's move on to some of the elements here in the Bookmap chart. So start to define some of these elements that I just went through. This is the same slide, just looking at a little bit bigger view. And okay, so the dome in Bookmap, graphical representation, liquidity here, 3,600 contracts or shares, and then 2,200 shares here. Well, pretty high in the book. Well, look up here, 18650 at the round figure. Almost always you see, especially in equities, higher liquidity at these areas. And here they are, 31,787 contracts up here. It's the darkest area, dark red. The scale of liquidity is up here from red to orange to yellow to white to blue and then to black. So we understand immediately by looking at the heat map. Here they are. These are the larger players. They're up here. And we take the data in the current market here and then to the left of this vertical white line, it's all recorded and transposed onto the chart. And that's the heat map. And that's what we're looking at here. We're looking at the evolution of the order book plotted onto the chart historically. So you can start to read some of this liquidity. Look how they started to pop into the book from nothing or very low liquidity in this area here, on up into higher and higher liquidity and price came down and traded into it here. Transactions took place in that high liquidity and they traded through that area. Now, okay, so best bid and offer down here. Last traded volume is this number here. Here's our price ladder and again in Apple, this Apple example. And then let's go over the transactions, these dots. That's the third element here on this book map chart. Best bid and offer is the first historical best bid and offer here. The heat map that just covered. Now the transactions. Red dot is an aggressive market sell. They hit the market sell button. They took liquidity and provide liquidity and they took it off of the best bid. And that's a red dot. The size of the dot is in relationship to the other dots here that you see. So if it's a big red bubble here, well, you know that there was a lot of selling there. And then same with the green. That's an aggressive market buy that took place on the best offer. The size of the dot is a relationship to the other volume that traded here that you can see. So that's a really quick overview of the basics. We'll continue on and start to read some of the micro structure because we have it right here in front of us. High liquidity on the offer. Buyers aren't willing to take them on. We start to find sellers, hit the bid into lower areas. We find liquidity here that pops into the book. They start to lower the offer, as you can see in these areas here. And then, well, we kind of go back and forth for a bit. But the sellers take these guys on. They want to buy here. They decide to trade into them. They hit into that high liquidity, trade through it. Don't have many transactions that happen down here. So we start to rotate back up. There's going to be a little point of control in this area here. We don't find buyers that step in again up in these areas here. And we rotate again down lower. And we know here from the clusters of the selling and another cluster down here, we're looking for follow through to the downside. I know I'm going through this very quickly. We do this every day in the advanced order flow webinars. Once you subscribe, you'll have access to those. But anyway, that's some of the micro structure. But that's just kind of current or recent historical market. Let's get into the macro view. Just larger zoom out and look at the entire day here in Apple. Now, this is from that same slide. We were just looking around that 186-20 level or 18-15 somewhere down here. Well, here's what the day looks like. You can't do this on your dome. You're not going to be able to see it. Look at all the high liquidity up in this area here. This was yesterday. And we traded up into these areas yesterday and broke out to the upside. A lot of sellers were up here. And we need to see if they stay in that book or sell, absorb the buying pressure or if they start to pull and add to higher levels. Answer a lot of those questions by looking just at the liquidity and transactions. Again, macro view here. And this is a reversal. Well, where is the high liquidity? Well, it stands right out there at 102. You're going to notice in all of these examples in the U.S. equities, they're at the big figures. 102, here they are. We're looking at Disney in this example. And where are they on the bid? They're down here at 101. Well, look, we trade right into them. And we trade through them for a bit. Well, these guys down here, they are long now. These larger players providing that high liquidity, they're long. Sellers come down and they basically doesn't trade much through it down maybe about 20 cents or so. It starts to rotate back up. And these buyers, they step right back in at the same price level. Sellers take them on again and looks like a partially trade into that. Some of that, this is absorption at this point, because we get the bounce. We trade through by a few cents, maybe five or 10 cents or something. But start to rotate back up. We start to find buyers instead of sellers. The sellers have all been absorbed up at this point here. Now we're starting to rotate back up when we're finding buyers starting to jump in. The swing up here is what we're looking at. We're looking for buyers to step in. We're starting to look at maybe where targets will be. Well, where is the higher liquidity up in these areas up here? Where is that? 101.50 and a little bit higher here as well, 101.60. As we start to rotate back up, look at the buying start to really pick up here. And especially up in this area above the swing up here. Note all the buyers starting to step in here. This is a shift in the order flow. We can very clearly see it. We know where the buyers are and they're back in here as well. Back here at 101. Where's the target? The target is 102. It really steps up here. And what does this look like here? And this is all due to the order flow. Well, we have a shoulder, a head, and a shoulder. And this is a reversal pattern that you're looking at. But we're analyzing it here very objectively in terms of the order flow. And that order flow shift, we're starting to see it here. And it really takes place over here. Anyway, we have many examples here to go through. So let's continue on. Let's compare volume profile with liquidity. We're looking at Tesla and targeting higher liquidity up here in some of these areas. Here's a breakout. Look at the buying here that lifts the offer up into. They actually pull some of that liquidity here. But it trades up into this area up here and starts to transact. Nice cluster of buying. We can also see it in our volume column over here. Now, if you're trading volume profile, you'd be looking for a pullback to where? Here's a big cluster of activity that just took place. And here is the previous activity here. Well, you'd be looking for your low volume node pullback. Oops, sorry. You'd be looking for a pullback into this area here. And maybe around 302.50. Well, that's not the story here, though. You would be missing the move here. And why is that? Well, because they flipped from the offer side here at 303 to the bid side here at 303.05, looks like. So actually, the story is here. This is where they want to buy. High liquidity is here. So you'd be targeting the higher liquidity up here at 304.30, it looks like, or 304.25. Let's go to the next slide. Well, here's that same area right here where they were. We did not get that pullback into the low volume node. Instead, we got kind of a skew in that book on the bid side. And we came up and hit the target. Now, curiously enough, there's some more things going on here. Very short-term high liquidity in some of these areas. And I'm going to go through and I'm going to show you this slide later in about five or 10 minutes. And we'll start to notice, though, that they're pulling. They pull here. They pull here. And it looks like they actually got transacted here. And we do finally dip down into that low volume node. But the story was here at this point. And the buyers stepped in again and hit the target. So we're starting to understand context of the liquidity, support, and resistance, and trend, and putting all these pieces together. In this example, we're looking at Facebook. And we're looking at the US Open right here, 930. And look at all the transactions that take place. And look at them layer in. You already know the targets or areas of resistance in advance here, because we have full depth of market. All of these areas are live. That's the DX feed full depth of market that I mentioned earlier. The buyers took on these traders here at 180, the figure. We trade through it. And look how they start to flip to the other side here at 180. From offer to bid. Targeting up here at 181. Note 181 liquidity, 182 liquidity, 183 liquidity. Larger players providing liquidity at those areas. 180 is well down here. Well, this is a trending market. We start to trend. We break the high here. Nice clusters of buying, transactions, lifting the offer, continues to lift the offer. And we're starting to note areas of really quite pretty areas here of liquidity at these figures. And they're flipping from offer to bid, from offer to bid, and then from offer. And we don't get there. But the target was here at 83. And we did reach that. So we're starting to understand the context of the transactions versus the auction, where the liquidity is, and this kind of relationship between the two. Well, here's an example of not trending through those areas in Facebook. This is absorption. Well, it's 52,000 shares here. 183, the figure. When we trade up into it and massive transactions take place, here's what traded. Out of the 52,000 shares up here, it absorbed all of the buying activity. There were no buyers after they came up and traded into this area. It's almost completely filled here. About 50,900, let's say. And after you see that, well, where do they go? Well, we're looking for them to come down and test higher liquidity that's going to be down here on the bid. We need to find buyers. And that's exactly where it probably slipped down to. We're actually looking for this area down here also because of the figure here at 182.50, probably a better area than 60. Okay, another example today in Apple. This was earlier. We actually traded through this area. But massive area here of 327,000 shares in Apple. Where? 190. Completely absorbed. Let's see, the amount of transactions up here, they didn't even, they kind of just scratched the surface here. It looks like 112,000. So about a third of them were transacted, completely absorbed, have to go lower to find buyers. We did find more buyers later in the day. But we came back down and traded to where they started to initiate their buying down in this area here. So starting to understand, again, those transactions and initiation of buying and starting to understand these areas of very, very high liquidity and the absorption in some of those areas. All right. Let's see here. Okay, let's talk about some, the opposite of absorption. Let's talk about exhaustion and look at the liquidity and transactions. Well, in this market here in Amazon, we're trending to the upside. Hitting these areas of high liquidity and getting a pause, absorption here, but they find buyers again and start to lift the offer up into higher areas and trade through some of these areas up into higher liquidity. But look on the other side, though, in the trend. A lot of buyers, but where are the sellers, especially on these higher lows in these areas here? It's completely exhausting out. There's very little liquidity in these areas. We don't see a thick band of liquidity in some of these areas at all. It's pretty dark on this side. Well, no one's willing to buy at some of these higher areas here. Okay. So the sellers, it basically just exhausts out. There's no interest. So what happens? Well, we rotate back up into areas where it can trade, where transactions were taking place before, and we're looking for price discovery up into higher areas where the liquidity is. And that's exactly where the price or traders move the price to up into those areas of higher liquidity. Okay. So starting to understand exhaustion in these areas as well and looking at the majority of these transactions and where they're taking place and how we can, if we exhaust out down here and we can't find any trading activity, the trading activity is going to revert back to the mean, back to where it can trade. And it would be up in these areas here. And that's how you get some of the price discovery. You still find more buyers in price discovery to reach these targets of high liquidity. And that's that relationship in context that I was talking about. Now let's talk about some of the, a little bit more about maybe some microstructure and some algorithmic activity. Okay. So we're looking at Amazon here and looking at ignition algo that pushes price through 1600, pretty important area in Amazon. You see this dark area in between here is the spread. I mean, we're looking at pretty high price here. So the spread is pretty wide. Nonetheless, here's an ignition algo and this is what it looks like and it's captured here because we record all of these areas of high liquidity. It'd be rather difficult to see this in a dome. But here's high liquidity here and it's got to be not only an algo or an individual actor, it's an algo. Because high liquidity down here, it moves up and the moment it moves up and then pulls it moves up again and again and again up to this 159860 area. And then it stays for a bit. Now, what is that? Well, think of an auction and think about how we have in an auction, you have a skew in that auction. You have more buyers willing to buy very quickly at higher areas. Well, if they're clamoring to buy, a price must be worth more. We actually do find more buyers in here and it starts to ignite more buying activity into where higher liquidity up here at 1600. That's the figure. And what happens up here? They pull. They pull before price gets up there. So with the skew in the book and not finding sellers, we're looking to go further on up through and get that ignition and push through 1600 in Amazon and that's exactly what it does. This is today's action actually and we're looking at JP Morgan Chase. High liquidity up here. Where? Again, 114, the figure looks like 29,000 shares up here. But look at this here. Very, very high liquidity. It looks like roughly around 88,000, or precisely 88,000 at this moment today. But again, it's got to be individual actor algo that it gets more aggressive here and starts to front run this high liquidity. And then the moment they decide to pull that liquidity, they're adding it lower. Again, here pulling adding lower and then pulling and adding lower again. And we can see the reaction that price is having on this kind of activity. This is just from the order book. And the transactions and reactions that price has or traders have to that liquidity movement there. All right, one more here. This is what I was showing you early with Tesla where we see the book flip from offer to bid instead of getting down to that low volume node. We do get down to it, but they pull. Again, no intent to trade. So they're going to pull that liquidity, but the job is done, the target has been reached and now they can pull. Starting to just piece together, understand this relationship between liquidity and transactions. Now, this is something really nice to see. This was back on March 22nd and this was some geopolitical tensions, some news. It was a tariff protection announced by Trump and really interesting stuff here. Right now, this is what Tesla. We have to understand what Tesla is. It's obviously a car company, but it's a U.S. car company. And we're talking about tariff protection. Well, look at the stock go up here. Right when that announcement occurred, look how you can see all this liquidity pull here. Well, they don't want the risk. But who doesn't pull? Well, these guys up here don't pull. Around this 320-10 area. They stay in the book. So we're starting to understand evaluation of this company by someone who has figured that out. Larger players willing to provide the risk. This is where they think it's of value to sell. And we're getting this information for free from the order book, from this complete depth of market. We know where they believe it's worth to sell. The rest of these guys start to pull. They do start to add in here, but they're pulling as well. So as price starts to come up here. And look at the auction here. Very strong auction. A lot of buying. They just start to jump in. It just goes basically vertical here. And it continues that way. Until it gets up into this area here. I'm not sure if it went through here a bit further. But not much, if any. And then it starts to, I think, go back and forth. Anyway, the point is, though, is in this example, we have geopolitical news. And we have transparency in the market at these higher valuations. We understand for free, basically, what other traders are telling us Tesla is worth. Now, what I like so much about this example is here's the same example in Apple. And price goes down. And we need to answer that question. What kind of company is Apple? And where are traders willing to buy Apple at this point? Well, Apple is a U.S. company. Actually, it's supposedly a, or technically, I think it's an Irish company. But what about all the components? Those are made in China. And this geopolitical news is about tariff protection from China. And the reaction to it is to the downside. So here's Tesla to the upside. And here's Apple to the downside. Now, but let's look at the way that it came down into these areas here in Apple. And you can see clearly that, yeah, there's some sellers. No question about it. We know where it's valued at 174. But the selling is not as strong as that auction that we saw earlier, looking at Tesla here. Look at how it's just a very strong, nice auction. Just buying handover fist. But if we look here at Apple, well, they're not so sure about that. It's debatable. They definitely think that this is going to hurt the company. But they're not so sure about it. And we continue to go lower. Once we get through this 175 area, we find where the sellers are. They're up here at 175. Looks like about half a million. No, I guess 50,000 shares, 54,000 shares up here. So anyway, we come down and just test in front of that 174 area and start to bounce back up. Again, a bit stronger. I mean, it's definitely weaker, but it's not as... And compared to how strong this is, this is not as strong on the weak side. But we're starting to understand why. And it's all here in the chart. And that valuation. Now, I'm going to extrapolate that same understanding of valuation from larger players for the market open. And that's at full depth of market. So here's Amazon. Here's the market open at 9.30. So all of this is pre-market activity here in Amazon. And where do they hold this liquidity after the open? Well, they're still up here at 15.80. They're also still here at 15.70. And then they're down here at 15.45 basically on the bid. And we already knew this. And they stayed in here. So here's the cash open. Well, if we already see the move to the upside up into 15.70, I'd be looking for a move back up into 15.70 and potentially 15.80 here if we can get some more buying to happen and occur up at this 15.70 level. So let's go forward. And again, we're getting this valuation for free at the open. Just like we are at the news, geopolitical news for Amazon and Tesla. Well, here's our 9.30 open. We definitely move and trade above the 15.70 area and kind of go sideways here for a bit. A little tricky pullback to where though, where they did initiate that buying in the pre-market and we start to rotate back up and start to trade into higher liquidity up here, targeting 15.80. Objective achieved. And then just understanding that valuation by the larger players. So those are a lot of examples we've gone through. A bit over my time frame here, we're going to go through just a few more examples and then open up to questions and answers here. Some examples from some book map traders. Here's the traders looking at the SPY. And starts to note that the price starts to go down here in SPY. Well, he's looking at correlations and looking at the VIX. And he's starting to note that price actually in the VIX is also going down. Well, something's amiss here. This is your volatility index. And he notices this wall of liquidity here around $47.15 or so. And price has moved down. But the SPY has also moved down. Something's wrong here. So he notes this and jumps in and buys an option here in the S&P E-mini. Here it is at $255 pm. He just buys one at $13.25. Okay, let's move on. Price starts to rotate back up. He's capturing that disparity in the correlation back up to the top of the range here. And that's where he looks over at book map and the volatility index. It has dropped down now into another area of liquidity, as we can see here. So at this point here, down next to the swing down here as well, he's willing to cover. So he fills just a six-minute trade. That's it. Makes a $1.75 out of it. $175 for one option and covers. So starting to understand correlated markets and discrepancies in prices. Here's another trader here looking at VTVT. This is basically a penny stock. He's looking at the $1.50 area here. He sees that price has gone through that $1.50 area on a strong auction to the upside. So you've got your psychological number. And then look at the bid here. They flipped or they were showing quite a bit of liquidity here. 29,000 shares. We rotate back down into these areas here. We do not trade through it. So we're starting to note the way that prices, and this is at the open too. This is 940, between 940 and 945. And we're seeing that they're starting to even bid up in front of the $1.50 area here. So looking for an entry. We're making higher highs as well. Waiting just for the buyers to step in here to shift the auction to the upside and lift that offer. Because we have a lot of strong support here. And they're starting to even front run each other. You can see from 29,000 here to basically about 27,000 here. Even a bit more. One at $53,000 here. So putting all those pieces together notes the spike in volume at this area here in the buy side. Looking for a pullback to where it broke from. And looking for that continuation to the upside and bouncing off that support. All right. So those are the examples I have for you. Showing that competitive advantage by being able to see all of the liquidity, all of the traders, full depth of market start to target those areas. See how the context of the aggressive buying and selling within those areas of liquidity. Reading the order flow in the micro and the macro structures. Reading some of that algorithmic behavior as well. And clearly seeing the larger players and their willingness to stay in the market at some of those areas. And then we looked at those examples of traders. All right. There we go. And then they'll end up here with this slide again of Apple looking at a lot of different things that we started off with. Now starting to understand some of these areas. Here's our 930 open is right around here. Well, I'm looking for high liquidity up here to trade. We rotate back down to the swing down here in the pre-market. And then basically don't find any traders. We start to find buyers instead. Come back up to the open. Instead of reaching this area up here around 17650, they start to front run here. So at this point, the situation is different. We trade in that area, but we just don't have enough buyers to trade through that area. So looking for this to rotate back down to where? Higher liquidity here on the bid. And we go right to it. We get a retest of it here. And we do see some selling here, but we get no follow through to the downside. So we're looking for after this retest here and we're not finding enough sellers to rotate lower. Well, we're going to find buyers. See a nice cluster of buying up here. Looking for it to return to where it dropped from up here. And then we start to note high liquidity starting to come back in. You're going to see this again and again in book map. And now this is where it gets really interesting because we had that geopolitical event, that tariff protection. And someone actually looks like someone knew something here because you can see that getting very aggressive on the offer. And then they are pulling, but they're jumping in and out here. And then finally, we see them all pull at the same time here. And then we fall through here. We get the seller's big transaction is selling at 175 and we see the flip. As we start to come down, they flip from that 175 on the bid to the offer back down into 174. And then this is after the market close here at four. Look at them layer in though down here. So larger players starting to layer in 173.90, 80, and 70. So after market, this is starting to give us a lot of insight here that maybe this has been pushed to the downside too far, willing to snap it up some of these areas. All right. So let's move on. Questions, answers, anything you want to know about book map, about this DX feed, any of the advantages I've gone through. Happy to help you here. I'll show you here in just a minute how we can, how you guys can get this new DX feed with the consolidated view with NASDAQ total view and Edge X and get a lot more liquidity and understanding of what the larger players are doing with that consolidated feed. Okay. Any questions? Let me show you where we can. I can point you to some of the questions here. You probably came to this landing page to register for the webinar with a small video here as well. There's the Q&A section down here, which goes over the costs and how to purchase, subscribe to the feed, et cetera. All right. So here are the costs. And I'll show this as well in just a minute here. But your NASDAQ total view, you're probably paying $69 a month. You can get Edge X. One or the other here. Okay. 69 for the NASDAQ total view, Edge X, which is CBOE and BATS here, for $59 a month. And these are for non-pro. Here's your pro price. And then the bundle. Okay. So you can get them both together. Now this is an offering here for the first month. Okay. First month only. I'm sorry. I'm sorry. That's incorrect. This is after the first month. The combination price will be $119. Okay. So that's some of the pricing here. We can go over more questions that you have. Feel free to ask. I want to show you here how you can get BookMap in the process that you go through for this DX feed BookMap. Okay. So first what you'll do for step one is go to bookmap.com and you're going to need BookMap 7. Okay. This is a beta version, the latest build. And the version you need though, just click on the packages up here. You need global or global plus. These are the two different versions. You can subscribe yearly or monthly. But select that and start to go through the process. So after purchase, log back into BookMap. This is step two. Okay. Log back into BookMap and then click on this link here, add-ons. Okay. So once you do that, you go to the third and final step here is choose the package that you want. Okay. So here's the updated pricing. You can see that you have Nasdaq depth here for $69. You can choose that if you like. Or you can choose AdJax if you like for $59 a month or you can choose the bundle here for both of them together, $59 for the first month and then the second month onward $119. Okay. All right. Let's open it up here, Dell. You have a question. Do we offer historical data for Nasdaq, TotalView, AdJax? Yes, we do. You get up to 24 hours of historical data. Okay. And, yeah, see, it says here that includes 24 hours of, you can see it here in the listing. Okay. All right. Yeah, part of the package. Turner is the broker integration with TD Ameritrade on the roadmap. That's a good question. We definitely want to go that direction. I don't know. I'd have to get back to you on that. Okay. Currently, the way that you can trade using any of these combinations here, Nasdaq, TotalView, AdJax or the combo together, it's going to go through DX feed into interactive brokers. And that's the way it's done right now. Okay. David, you missed the first part. It's no problem about that. You can, it's all recorded here. And I'll follow up with an email with everybody and send the link as well. Okay. All right. Any other questions? Any plans to add OTC markets? No, not at the moment. You know, looking at just U.S. equities at the moment. Okay. If it's available as a U.S. equity traded on the exchanges, then that should be available here with DX feed. This is Zoran. Is it possible to trade to watch two or more window shares of the same thing? No, it's not. It's one chart per viewing. But, you know, you can zoom in and out very quickly. In fact, yeah, I can demo that for you if you like. Zooming in and out is very quick in book map. Oh, you're welcome, David. Yeah, that's great to hear that you're enjoying the new feed, that new consolidated data feed. Yeah. Yeah, new feeds will be added in the future. Okay. And, you know, looking to extend this, obviously, you know, we've, we're growing into this, into this market. And, you know, I just need to explain a little bit about the, you know, equities and the book in equities compared to futures or digital currencies. I mean, it's just a much more complex book. There are many more liquidity providers. Okay. There are dark pools. There's a lot going on. And whereas if you're trading futures, you're looking at very much, you know, a centralized limit order book. Okay. All taking place at the CME or wherever the instrument is trading. Okay, CBOT or whatever it might be. Okay. So, yeah, a little more complex or a lot more complex with the equities and all the different data providers. Okay. So, you're getting, yeah, we'll continue to grow into this field here. Can the historical data recording sessions be saved to external drives? Well, no, I don't think so. Turner, I believe it's all, it will be recorded on the local drive in the feeds folder. But once it's recorded, you can move it to any other feed and you can always add it or any other folder, and then you can always add it from that other folder, no problem. Okay. But recording, and I believe has to be recorded locally. Well, it might be possible to, yeah, I mean, if you have some sort of Turner, if you're talking about maybe some quant features, something like that, we can work with you to maybe provide some other kind of solution that you're looking for. Okay. So, just reach out to me, bruce at bookmap.com. Okay. Yeah, you're welcome, Turner. Yeah, we, you know, work with several quants. So, you know, happy to work with you guys and find custom solutions for you. Okay. I know you have custom indicators. You're looking at custom data feeds and timeframes, et cetera. Okay. Data sets. All right. Well, anyway, all right, if there's no more questions, just go for a couple more minutes and just review here just a bit how to get this again. Just go to bookmap.com. You're going to need the Bookmap 7 Global or Global Plus version. So, under packages here, here they are, select those, go through the payment process, the log back into bookmap.com and then click on add-ons here. And that's where you'll finally just add the data package that you want here for DX feed. Okay. NASDAQ TotalView, EdgeX or both. Okay. All right. And let's see all the different examples here. See, I guess we're pretty clear for you guys. Okay. Yeah. And the, if you came in late, the one distinction here with that consolidated feed, you do get a discount. So, let's go to the end here just a second. Okay. And you can see here for the first month, $59. Okay. So, nice discount that you're getting here. And then following month, though, it's going to be $119. Okay. Okay. Let's see if the data source includes other counts. Is that utilize anywhere in bookmap? Not sure exactly what you mean, Turner. The actual order counts. Okay. Yeah. Then the number of orders at the given price level. Yeah. I mean, we have the number of shares and I'm going to have to get back to you on that about the actual number of orders. We are working on that. So, I don't have any details on that at the moment. All right. So, again, happy to answer that. Just Bruce at bookmap.com. Oh, hi, John. So, you came in late. Is the data feed required? What is the data feed requirement? Yeah. I was just going through that. So, here it is again, how to get this. So, DX feed bookmap, bookmap seven is what you need, the latest build. And you're looking for the global or the global plus version. That's what you'll need. And then for you, John, since you're already a member, you'll just log into bookmap.com. And then this is step two anyway. And then click on add-ons here. Okay. And then you'll choose what feed you want here for DX feed. You either want the NASDAQ total depth here or EdgeX or the combo package here, which is a consolidated feed of both of them. Okay. NASDAQ and EdgeX, $59 for the first month and then a $119 the second and following months. Okay. All right, guys. Well, I think that's it. We've gone for about an hour here. I really appreciate you guys coming. And let me know if you have any questions. And we'll do more of these as well and find more examples. Just as a note, I mean, you know, the clarity here is something really to recognize with the U.S. equities. These larger players, they really stick out in these areas like a sore thumb. And the aggressor here, we see them pushing toward those areas of high liquidity. It's just where the market trades. They need that liquidity and they trade toward it. Okay. So you can really start to map out your day here by this advantage of seeing it in the book, you know, several dollars away, but it's all live. Okay. And that's one of the big distinctions here that you get in that advantage with Bookmap DX feed. Okay. All right, guys. Well, thanks for coming. We'll do more of these in the future and reach out with any questions. And yeah, have a good day. We'll see you next time. All right. Yeah, thanks, guys. Yeah, take care. Bye-bye.