Morning traders. Welcome to the traders lab. Can I get an audio and screen check, please? Thank you All right. Good morning, everyone quite an active day today a lot of structure trades in the trader lab I want to get into it right away As you guys know we get higher and That of course sets up some interesting things to look at Those you've been following the trader lab and if you are aware we What the trader lab is is really about integrating book map order flow tools with auction market theory that is participant behavior or the behavior of the shoppers and Integrating this with the volume profile. It is not Indicator based is specifically participant based and the idea behind the trader lab is to help traders understand market Mechanics how the market works why it tends to do some of the things it does and at times be able to get in alignment with it and then based on Individual traders working with ideas that are shared in the trader lab develop a business in trading The business of trading is very similar to how casinos operate It is a statistical business and many of us think it's indicator based and the line crosses this or that And that's all fine except if you're Not getting the results you want it might be because you're using a process that does not have a statistical edge The casinos only play games that have an edge.  It's not something we're very good at and even the idea of even knowing whether or not We have a profitable process is something most retail traders never get around to figuring out and the reason they can't figure it out And i'm not saying some don't The reason that most retail traders fail is because they're using a defective process, but they never know it's defective It's random So they think it's just fixing it or adjusting it versus not understanding That by its own nature it might be defective and of course past performance is not indicative of future results Everybody is different General disclosure all book map limited materials information and presentations are for educational purposes only and should not be considered specific investment advice or recommendations In fact, go grab a pen and a piece of paper as always. I'm going to give you a little overview Some statistics so you kind of get a sense of the potential And remember if we're looking to extract statistical edge, we want to use Whatever we can that might Give us that edge or help us extract the edge So i'm going to share that with you and this is part of what we do in the trader lab risk disclosure Trading futures equities and digital currencies involve substantial risk of loss And it's not suitable for all investors bad performance is not necessarily indicative of future results As you know, this is not a trade calling room This is about helping you understand how the market works and that's based on participant behavior without any Indicators And of course Like everything The outcome of anything is random and anything you see here here Here or anywhere else you need to vet and see if it might align with you Your approach your psychology, etc And the trader lab is really based on a group of like-minded traders looking to leverage their collective experience and to create Uh and vet a potential long term Uh understanding of the business side of trading potentially participating in it as a business and turning it into something more than just a passing experience And again, your mileage may vary And this is also based on structure trades that are available to everyone in the book map discord trader lab chat And you can all visit the trader lab chat If you choose to download 60 pdf's of these Structure trades that you can review and reverse engineer and also there's a library of webinars that may Help you see what's going on and where this all comes from now. First of all Right up here Is called the naked volume point of control It was 43 70 quarter This is a high volume area and auction market theory is simple It's shopping so all this stuff of theory and profiles and oh my goodness. I think I landed on mars Don't worry about it. It's not complicated We expect things to be complex and also so we think it's complex and we even think trading is complex I'm going to suggest it's the exact opposite Uh, and we go down these paths of complexity looking for the needle in the haystack when maybe Simplicity is what allows us to see what's right in front of us. Maybe and again, everybody is different. Everyone has their own truth or beliefs One of the issues is of course, we all believe things, but what happens if what we believe is not true But we want it to be true So maybe we want trading to be complex in the sense we need it to be complex So we can continue looking for what others don't see Is it possible everyone has looked where you've looked over are looking already So naked volume point of controls like when you go shopping and there's a high volume area in other words In our case traders Interactive buyers and sellers interact and when you go to the store there's retail and I always go over this high level over you So, you know, uh You buy something at a retail price buyers and sellers agree on the price if the price is too high It's things have changed and you come back to a former retail price and the market has a Tendency to come back and check these things Um, and it's too high the market's going to leave it This happens in all fractals and time frames. So even in a little thing like this It's an auction too low too high Retail if this price is too low we can leave it Check the price in this micro structure. Leave it. Check the price in this structure. Leave it Check the price in this structure now. I'm I'm in a scalpel with the electron microscope But what I want to show you is this is the whole all the volume from the last time we were up here for the whole day of our th This is happening right in here Over just a couple minutes and it could actually happen over a couple seconds and we can read it This is language.  I'm going to give you a a few statistics Okay The overnight volume point of control, which is this this is the highest Think about this last time we're up here highest Volume retail the eth Highest volume which is the most recent auction and that's what's going on in the store. It's an auction if the price goes on sale It goes down Let's say the product is worth a dollar retail and it goes to 75 cents you buy two if you come to buy two They're not going to keep the price on sale. It's temporary and then the seller Not the buyers the sellers will raise the price back to retail If the sellers think they can get more they will raise the price higher And so and the volume will taper off because less buyers are going to pay a dollar 50 for a dollar product If the sellers want to sell the product, they're going to have to lower the price to get the buyers And this is what creates rotations and this is what creates consolidations This is a consolidation This is a consolidation. You know what breakouts are right? What does it tends to happen in consolidations? You come back and check them if and why are they too low because in this behavior It was too low You can't buy an s&p there in the microstructure Well, this if we come back to a previous high volume area if it turns out to be too high The buyers may go, you know, it was worth such and this price back last time we were up here But right now now you can keep it. I'll see you later Is everybody tracking? So let's come back to some statistics 79 probability of overnight volume point of control 76 percent probability the eth high And all these you have to vet for yourself A 68 probability we take out the first hour high, which is that I remember these are just statistics 63 probability we get to the previous high 62 probability we get to the overnight Mid remember that one There's yesterday's high. Let me just see if I can find you. I don't know where overnight mid Value area high is another target 43 percent. They start going down Okay, and we have well, there's Previous point of control 31 percent. Let's start with that. Okay Is everybody tracking? And by the way, if you're in youtube, thanks for staying visiting By the way, there was some technical difficulties this morning. If you're in discord and things go south of the border There should be the link in here for youtube and you should be able to get into the stream just in case Let me just make sure everything is percolate. Okay so Let's go. We're going to start where I always start. That's the rth open now We're opening in a gap and this is yesterday's high so potentially We have the possibility if this is too high and this is too high And I'm going to show you the first trades that if we reject this i'm not paying that Are you crazy? We can come down now. There's going to be a couple other things I have to mark this on this chart. This is called a low volume node in the eth And it was around 61. Let's just call it 61 half And i'm going to let me explain what this is very briefly so you know why it's important You just mark it in here, you know, if I don't do this I forget So I always marks you'll see me as we go along here I mark stuff and it's part of a narrative in other words I narrate the market and it's conditional narration when I wrote trading systems, they were conditional if this than that So it was a condition. Well, it's the same thing Remember I said a consolidation It's there's too high Too low and retail. This is retail in this Consolidation it also happens to be the highest volume for the eth session. So I'm going to show you A process here's the thing If this is when we were down here It was a consolidation, right too low. Oh, it's on sale high volume Retail and then out here. I'm not paying that and it rotates that what happens in these consolidations or rotations And I think of them as fractals because it's all multiple time frame write this down Russian dolls You know how it is big doll and then you go down in size right to the little doll the might the little doll But the behavior is generic. It's the same way in the market all fractals I don't use time because it's trying to fit the market into something fixed And the participant behavior is not controlled by the clock. It's controlled by Where they discover a price and either they accept it or rejected whatever they do with it So in this time frame or fractal, this was too low. So out here too low too high Rotation and it's buyers and sellers interacting when you come out from one of these Who's ever wrong is off sides. They become buyers, you know buy stops, right? And then we start this whole thing in a new area. What's too low? What's too high? This is a dividing line between the shorts that got squeezed that created this buying part of it And the longs that are in this leg. Is everybody tracking? Just give me a yes. Give me a no. Give me. I don't know and ask a question Trader two oh four You need to be posting in the trader lab TB2 is just a streaming thing. Nobody monitors. Yeah. Okay. Everybody. Yes. Is that a yes? Okay. Good morning Okay, let's continue. This is what's called the low volume node and it happened in the eth And the reason this is important is what's under this edge Longs where's their stops under here? Okay. Now, you know, so now I'm going to go into the rth open And I take time to do this because this is all happening before the rth opens This levels on my chart. It was here. Actually, I think I spoke about it yesterday the day before it's an outside target I can't remember because I don't remember anything, but these are all levels Let's see. What else is on the chart Well, yesterday's close and this was retail yesterday. This is a potential target also not a recommendation. Remember, I don't know And then we have this down here again clueless not important My job is not to predict my job is to try to get an alignment and then using a vetted structured plan And all these are available to you in the book map discord trade a lab chat To attempt to underline with quotation marks to get in aligned. Okay, let's take a look right here Now this is I'm going to show you Well, the structured trades, but I want to integrate order flow iceberg behavior. This is the iceberg detector For me, it's a very important tool in book map Uh and it stops an iceberg. So these are by stops Icebergs, this is the order flow. It's called a heat map and we can see the change in the liquidity Darker means more if it lightens up means they're pulling in there, you know, whatever they're doing Cell stops by icebergs now, you know The yellow line is called the developing volume point of control think of it like a retail price This is the same thing, but it was left behind The last time we're up here in the rth session as the volume moves around and as they auction This yellow line moves with the volume. So this is called developing point of control This is called the naked volume point of control And uh naked means it hasn't been tested. So this is the last last time we were up here It was the highest volume. So now we're checking it. So what and here's how I think of this This is shopping and we left it last time we were here If we leave it what that is saying is Now we come back and we check it. It's too high. Now remember that concept too high Watch what happens here The same process So let's watch Market opens Oh, this is wonderful. Hold on a second. I gotta just move this down so we can see this clearly now I'm going to show you micro And remember what I'm sharing with you are ideas based on your experience being an astute shopper So there's no magic here. It's common sense. It's logic And if you've ever shopped for anything in your life, you already understand this You've probably just never have thought about this is how trading work At times, you know, everything is random, right? So this is the developing volume point of control This is the ethi. Remember we had a high probability I see the liquidity in the order book. I see some buy stops coming out. Okay But I see the liquidity and I see sell icebergs now all of this on its own is a suspect And I don't know, you know, I'm I always say I'm clueless and I can prove it It certainly am and the term clueless means I don't predict my mind is open And I have levels that I understand what created them And I understand that in a gap like this and write this down guys And this is something I always say and if you've been following the stream, you already know this The market goes up and go down And the market goes down to go up And I know it's such great insight. Why does it work that way? Because if there's longs if the market gaps higher It goes up. Why might it go down? Well We don't know what it's going to do, but let me give you a hint If you were long from the last couple days, I'm just saying And you know, we had an excess a couple days ago, right?  Let's put together. What might you do? Would you buy it or if you're holding a position might you sell it? And what is that called? Write this down. It's called responsive selling Responsive you are Responding now anything can happen But what we anticipate if we get a structured trade is selling and that means short Now it can do anything, you know trading So that's why you have a trade plan risk management and vetted structured trades and in the trader lab This isn't and this is about anticipating Not impulsing not making it up. Remember how casinos work? They play structured vetted games in a random environment Like we are and they play the games exactly the same way and they take losses like we do How do they see their losses is a personal failure or is overhead and cost of production? If you're in the business of trading, you know that there's a statistical probability of something happening and it's random The casinos are random the same way that cards come out of the deck randomly and then gamblers play the cards randomly Do you really think our business is any different? Let's look now The yellow line is called developing volume point of control. All it's doing is measuring volume Right here is the rth open so you get a little blip a little blip and you see the yellow line It is measuring the volume and it's very sensitive More volume is here than there was over here. So you'll see how it moved up. I'm just showing you Now so this is well at the moment too low. This is now retail and what is this? Oh, it's on sale. I'm not paying that. Yeah, but it's a great price. Yeah, but And this yellow line is retail if this is too low we get buyers That means at the moment in a micro structure and I'm taking you down to electron microscope And I'm not asking you to think can I do that? No, I'm asking you to follow The story can you read it now this what I'm going to show you and I'm Demonstrating to you is what we do in the trade lab, but not only that this works for swing trading day trading Picket doesn't matter. This is what the russian doll is all about. It's generic the market moves higher Now I took out this Which is my retail price. I mean remember I'll write this down horseshoes and hand grenades. There's nothing, you know Overnight high high probability Let's watch and this is now retail in this micro structure right here And I don't know what's going to happen. Remember I'm I'm clueless. I can prove it I know this is in the book and I'm seeing the icebergs and I'm seeing and I don't know because here's what can happen too low fire I get this here. It can push off Which would be the same as this too low. What do I see seller? And I'm going uh, that's interesting This and here's micro volume Retail think of this like a little store Consolidations or shopping experiences This could be your convenience store and either the price is too low in your convenience store And if you want to buy an s&p, you're gonna have to pay higher or the shoppers are gonna say I'm not paying that. It's too high And they leave the store simple, isn't it? There's your volume. So right here is too high Now I don't know so let's watch Seller don't you wish but let's watch pullback So what I have here is Potentially a short and I also have this is too high and this is retail. Now. Let's just watch it So let's label this I call it a variable high volume note now if you're very skilled and I'm not saying anybody should do this You would know Because you practice this and you have unconscious competence and this is what it takes you would know This is too high. Where's the short? It is Either here Stop above here It is here stop has to be Above there or here why let's consider too high in the microstructure There's another piece here. I want to show you there. Let me show you one other thing that I'll move right along By the way, I just see over here that we hit our next target down there 37 half, right? Before we ever got there. This is how the auction works if you've been keeping an eye on it Hold on but I want to show you something remember We have the globe x wherever the heck it is down there 60 something Uh, right here sellers buyers. Let's watch statistics I'm showing you delta This is the delta. This is the aggressor So if I have a I'm just adding a little piece in here I normally don't have time for this but I want to show you something So I have a target a target and I have my buyers All right, so this is the rth open and I'm going oh, this is great, but Belongs in this leg They are basically here. So we had sellers here. They got taken out. Thanks for playing and now I have my buyers. Okay And I'm thinking what responsive selling so I have buyers They're in here and of course they're in here, but they're mostly up here Okay, these guys who sold here. They're getting squeezed. So that's kind of how this starts to work I have my liquidity. So now I'm putting pieces together. Notice this drops down This is my microstructure too high. I'm going back into it, but I want you to see why delta is usable So now I have my selling volume here. My buyers are above me. That's what you're looking at over And I'm only looking at This is called the chart Volume profile. It's only showing me what's from rth open Here right here. This is also from the rth open It's going to show me everything as it comes in and I'm going to be able to look at volume And outside edges of consolidations and this is the delta This is only going to show me what's on the chart And this is the session delta, which right now they're both the same But as the day fills in I'll be able to see all of this and then isolate legs and everything else to see just inside These rotations with the delta. I just wanted to point that out. So too high break This is retail Is this too low and we're going to come up. This is the question or If that's too high and the volume is here and the longs are stuck in this leg Are we going to come down and take these guys out? That's what the delta helps you with and now I know I see So this is right where pretty much The buyers are okay. So right under here Is where right and we have sellers. Let's watch These guys are now under the bus And now this is too high and this is where the buyers are trapped here and they are now The stops they're the fuel So this is a trader lab short That's a trader lab short if you're proficient pull back to the mid and v-wap is a trader lab short and Look what's going on with the book and there's nothing under us and all you see is sellers And the only way these guys get jammed is if we come back So that's your first trade Now where does let's see let's watch So this is too high now. I'm back in the game with you. Okay So this is the v-wap. This is another structured trade in the trader lab. It's a short It's called the v-wap to v-pock. Here's how it works This is retail Right because of the volume the market is running away and remember we were saying what did we anticipate If this is too high And this is has a high stat Then south of the border Then what there's about an this target Which you'll notice we had a reaction I'm going to bring it back in case you're late come stopping in today 79 probability. We're going to get here if you took a short This might be an area you scale why it was the retail price in the eth Notice the behavior We come back to mid and v-wap Up to you if you if that's one of your vetted trades It is a potential short Where to scale here hold there's more now if it's not you're just hanging out Next structured trade is this The volume point of control or retail now shifts down here. That means so let me interpret it for you This is too high. I'm not paying that. That's why we left. I'm out of here We checked the retail price in the eth What about this is this too low? That's why you got this Maybe and I say maybe because I could only know that it's a level of behavior and that's why this Now the possibility is the following and I'm always thinking in conditional statements So if this is too high then that that's my test why because it was maybe too low So if this was retail just like this was too high Is it possible? This retail price overnight volume point of control. It's just the last eth auction Is too low If it's too low, we can come back check this or come back and just check this and again, I don't know But what did I say the top of the stream friday? Gap What's possible responsive selling do I want to get longer get short? Um me Short so far with exceptions and I'll show you the exceptions because there's longs also so right here We chop That means and there's more volume here in this structure Then there is up here. It's like, uh, think of it like we're not shopping here anymore I'm shopping here because that price is too high So now retail moves down here because there's more volume and this shift is called vpok migration There's two potential structured trades in the trader lab one is We break low we sell it And we continue that's one The other one is we break high We pull back And it's either And I'm going to tell you for me what it is and you'll see this structure. You're going to appreciate this Now I'm going to tell you there's two trades here One is countertrend and one is get out of dodge and look for a continued duration trade short This is where trade plan comes in. Let's look this is a And I want to call it a long. Let me put it this way. This is a structured long now structured doesn't mean mechanical it means You have to align it with the context. This is a long To here and maybe there or wherever, right? Let's look at alignment overnight volume point of control Is it a coincidence since we broke under this retail price? From the eth see how we tested it. We came back. We broke below Let's stay with the story. It's a beautiful thing at least to me It's almost a symphony of trading. It's music and I think of it as language. It's speaking I'm not paying that. Well, this right here was retail and eth. Let's check it. Oh, it's too low back here Oh, it's too high responsive selling. Let's break down This now is retail. Oh, yeah We break high. That's that's a belong. Where do we come back to check? Here. Nope. It's still too high. And what else vwap now? We have another structured trade in the trader lamp It's called vwap to vpok. Here's what you have This tells you it's a long or it's not it's a counter rotation. This Is a structured trade called vwap to vpok and look at the alignment Overnight Dth vpok ractals. Are you guys tracking? I get chills when I look at this because to me it's clear Is it clear to you But yes, is that a no is I don't know if you have any questions, by the way post them Um in youtube, there's a little bit of a delay By the way, if you're finding this interesting and you're in youtube, how about a thumb up also? I want to mention There's a library of pdfs that you can download in the bookmap discord trade lab chat about 60 of them And I'll show them towards the end of the stream You can kind of see what it is circle arrows all that kind of stuff And there's a library of webinars that I've done So you get a high level overview of this process and also Um There are webinars I've done with four hours of live narration, but to me You know, if you don't understand why What's the point? So I do this and if I get into real time, then we do it So let's watch now remember this is an outside edge down here If you and if by the way, if you're in the trader lab and you don't have to be a bookmap subscriber or anything This was our outside edge of this consolidation, right outside edge. What's it the outside edge of consolidations? This is from the eth stops. So if I get down here a couple possibilities, I can check it Revert or go through it and then accelerate and I have no clue not my job So this is a long to hear or if you're anticipating south of the border and a gap fill It's only a short. This is subject to context. This is something else that's covered in the trader lab. So let's watch So this is called vwap the vpok and then you would hold This is the next target and you know, you manage the trade and that's another piece and remember in the trader lab This is all about trade plans context and alignment So right here. So this was a trade to here down here Now we come back to mid and vwap Now, where was it too high last time here? micro structure out here Out here now what you see developing here. So that's too high We ran away. Now. I'm going to show you This now we don't know where the outside edge is. This is changing into another context inside a context So let's think maybe on the line maybe that we have a possibility to come and fill the gap, right? which is here and who knows and This is an outside edge from the eth So I know stops are going to be under potentially under here This was the target before we ever got here. Can you see the methodology? This is all based on participant behavior It's not based on anything more than that. I certainly don't predict anything because I'm more clueless than most Uh and the reason I'm clueless is I have no expectations or ability to predict All I can do is look at participant behavior that they said as shoppers what they thought was too low And I know there's going to be stops under here So if I come down this distribution and this was created in the eth I know this is an outside edge. So a scale or target is out here So that's why this and now you get that is everybody tracking. Can you see before we got here and everything else? the why You might be targeting That So important. Are you guys tracking a lot of minutiae? I understand and I apologize. I hope you get something out of this this is no indicators And the reason I don't use indicators is I did Or and I've been trading 43 years. I grew up on them When they were first coming into the retail space I went beyond indicators to trading systems And design, you know, and I know what optimization is and I have another term for optimization Let's translate that curve fitting I worked with neural networks When they first came into the retail space and I'm not saying anything more than then they're done that and it didn't work for me In most retail traders attempt to do this using canned out of the box Plug-and-play indicators and then they tune them, right? They tweak them and I was constantly doing the same thing you guys do Uh, what I found was Didn't work Except it was random and I didn't understand How I didn't I never thought about gaming theory. Nobody ever talked to me about it There were no or very few off-floor traders. I never knew any of them Uh, it was off-floor traders when I started so I had no reference point You know I just didn't get it because I didn't understand that I was using random inputs in a random environment And you can't measure it. So how do you extract an edge? The casinos only play games with an edge. They play them the same way with multiple indicators multiple timeframes You have random input. So you're the gambler, unfortunately And you don't know it in my opinion. Again, it's just my opinion my experience. I'm not saying it's yours I can only tell you about me So too high and what's the outside edge here? So all of this behavior short short short is going here and then what Now if this is the outside edge here Then Where's the outside edge here? This is where the thrill, you know But let's go to microstructure This is the last area we had an auction and I'm not saying anything more than this was too high Let's see what happens And again, let's look again at the delta Let me just make sure okay So Sellers are trapped under here Longs are up above here Outside edge up here is we have our sellers here and we have our buyers In here, right? So These guys, you know Right here It's these sellers. So the sellers And the buyers so these guys are praying And these guys are holding the shorts So if we come we can come out into them and that'll be by stops, but where did the buyers? fail It was here. So Let's watch and see what it does too high price check Too high potential short Pull back and you see what I'm using I'm using this. What is it if you're here for the top of the stream shopping I'm a shopper. Aren't you don't we love the shop? What was too high Right in this microstructure. Remember Russian dolls. This is a consolidation And in this structure is volume It was too high. They left the store. Where is my location? Right Against the volume There and just happens to have alignment with the mid huh well Now let's say you're looking at this, but you think they're going to take the stops out 71 by stops I'm going to show you something else as long as we're here. You don't mind. I hope The the green bubbles are by delta And that means aggressor who are aggressors buyers and by stops become market orders They create Delta because that they're crossing over right What do we have here? I come to the mid. I've got the by stops coming out I got selling icebergs. Of course. I don't know and what do I see here? Only three by stops only three. This is my indicator experience Oh divergence, huh less of something higher price, right? Now again It's either a short here or let me show you Or not or what do I have here? Too high alignment Divergence Chop Retail Against micro structure too high. This is auction market theory. I'm a shopper for all shoppers for s&p's Here's my micro volume I'm looking for it to break and then a test so my test is here if you understand this in a very fluent in this language Or you're waiting for quote more information seller So seller seller seller volume seller volume seller volume test seller past Hey Everybody tracking Are you guys with me and again? I'm only in here 10 minutes and I I'm only trying to show you how this works Um And this I guess I'm teaching. I don't know but let's watch so let's move on So these are all opportunities And wait a minute Where am I trying to go? I don't even know where I'm trying to go. I'm trying to go of course and fill the gap That's possible and anything can happen at any time now if you look at the delta All there's sellers all here, right?  So this was the short the short the short down to here, right? That was our first structured trade pullback to volume seller Notice the liquidity Iceberg buying sell stops. Thanks for playing Retracement back to where here's another possibility another potential short You know, it's up to your trade plan now. Let's watch Remember, this was too high, right? You do remember. I know you made note of this and why did I record it? Let's just look What is this I'm not paying that get out of here. I'm leaving Magic no auction auction The market. How does it work? Not indicators Indicators are translators of participant behavior. That's really what they are, right? And that's what you use them for. I get it What am I doing? That's different. I don't have any indicators. I'm just using the participant behavior And I can be right here right now To participate based on my understanding of how the market works And if you're here from the beginning of the stream, you know what this is It was too high last time we were here And you know, this was too high when we opened in the rth And what does the market do in all fractals and timeframes? It checks prices. I'm not paying that and then In the open in the rth. I'm not paying that They left to store now. It's on sale We don't know by the way. It's lucky, aren't we? And we're still going for the gap fill and what do they do the market is short, right? If the market is short these guys Who's vulnerable? They are and it doesn't have to do this, you know This is the joy of trading. Who knows? So what do you do? You trade your trades and you have a trade management process that you've vetted that over a random Distribution of interactions with the participants Helps you maximize your net or edge and it's random It's completely random and write that down if you're in the business of predicting open up a fortune telling store Because this is there's no way to predict participant behavior What you can though do is understand what creates the behavior and where Participants said a price was unfair which was right there Which is why I marked it and that's right at the rth open. I come back and check and I don't know So let's look. Let's look inside. Let's go to microstructure. This is my location So I got liquidity. I see the sell icebergs going off. You notice the icebergs. Why are they selling?  What do I see here? Let's just look 69 buy stops. You're going to see something familiar 58 buy stops Uh, and I don't have a structure yet and In this sell icebergs. So I got selling from these guys I got the liquidity sitting here and I'm like a deer in the headlights because But because I understand how the market works at times remember randomly Randomly, uh, this might mean we're checking this price just like we do in all fractals and timeframes This is too high. I see a seller And I'm going uh, this it because that's what I go through. I see this only six Less there's my buyer But there's my sellers. There's my sellers. So this is a suspect right here in this fractal. There's my high volume So this high volume Is retail in this store In the previous area This was too high That was too high Now I'm in this fractal What's it going to do take this out? No, it's too high So now I have these multiple layers Lincoln Russian doll too high. Okay. It's either as short here Wherever Or there these are shorts stop up here This is a trader lab structured trade Break below Pull back. This is an ad Or nothing. What do I know? This is too high. What do I know about this? Let's look Too high retail. So it's this is fractal. So what I'm doing is it's Russian dolls So this was too high. That was too high That is too high. This is too high. There's my seller. I can sell this again this against this This was too low There was my buyer the old concept support resistance. This is support. Um, it's on sale Boom now it's I'm not paying that thing. Where do we come here? It either is going to bounce back here or break below it breaks below this volume is too high That volume which was support Look at the volume here. You can see it now is resistance Seller see you later now. What this is now the next fractal of developing time frame highest volume for the day so far when you break below You come back if it's too high in this fractal. It's a short Where was it and where do you have to protect above the last location? It was too high and rejected which is here another short in the trader lab if it's part of your plan Or not Yesterday's high filled the gap. There's more Are you guys with me? I have another statistic by the way And it's called there's actually a couple but I'm going to give you the next one very interesting at 9 30 central time My time there's something called the I B stat or initial balance and that's something from market profile days Um, when I first learned about this was in 1985 from peter stottelmeyer who created market profile He actually taught it to me and I'm going to tell you I messed it up. I said, hey, I'm going to use indicators I'll show you how to do this better Uh, I'm going to say no And uh, anyway first hour low and let me go back to statistics here for you guys And we have a structured trade in the trader lab for this. Let me see if I can find it about a 55 probability But remember it's friday and we're anticipating something called responsive selling right contact supersedes statistics But you that they give you a gauge and it's really uh, I think putting all the things you can That you have vetted together to help you have a statistical edge. Remember the casinos. It's all random Well, we're in a casino. It's just which side of the table. Do we gonna sit on with the gamblers or do we want to be the house? Um, I think the house, but that's just me. So let's watch so at 9 30 Whatever the low is at 9 30 and you see i bl That becomes a target To come out the value area high and the overnight mid are also targets That here just write these down if you missed all this And again, it's just random Value area high is about 43 probability. I know pretty exciting And the previous point of control, which is also a target down below is about a 31 Probability and you're going, why should I care about that the overnight mid is 62 probability there So these are targets now this one is higher than that one Isn't that interesting? So i'm gonna look at this one. So let's watch I come outside Now i'm looking for this by the way notice the iceberg 659 cell stops and what do we see? see by icebergs by icebergs cell stops lower price Less stops isn't that stop divergence now again. I have no idea I just see this stuff and I go that's interesting. So let's watch Now what we're looking for And this is a structured trade in the bookmap discord trade lab chat and you you'll see that these are all Things ideas you can reverse engineer and see if you can get them to fit and align with you psychologically And I know the temptation is to use your indicators But what I found is The indicators create conflict and inconsistency and then you're just gambling and if your equity, you know the thing That's so hard. Uh, and it was hard for me was early on, you know I am winning trades losing trades winning trades losing trades. Well gamblers have winning hands losing hands winning I thought I just had to adjust it somehow With either more indicators tuning all that kind of stuff, you know what i'm talking about more timeframes more moving at something Oscillate a picket and now I'd be more consistent, but I had an inconsistent process. So I was always a gambler I just didn't know it I thought it was doing more So the liquidity comes in the order book Where are the sellers? They're in this leg. Okay So the shorts are in this leg so we can Come back and mean revert now. I don't know now in the this is a potential long Let me show it to you, but it's not a structured trade. This is something that if you Were more advanced in this process, but I want you to see it because what I'm showing you is how to read the market This is what's my indicator Participant behavior Right here. We're coming down and it looks like the end of the world. I have targets below, right? Now i'm already inside yesterday's range, right? So I filled the gap so But right here. I don't know I see stop divergence lower price. I see micro structure. There's the volume This is a store and I have no clue remember And keep going. What do I see big buying? Oh, is that a change in behavior? Where's the buyers? I don't see really any buyers until here Okay, what does that say? Let's go into fractals a b underline because nobody knows that volume In this store is too low If I leave it look at what I'm going to do What was too low? This volume I come back to check it Right here Order flow comes in There's a buyer micro structure. There's a pullback and it's not a structured trade. It's behavior Now let's go back to the other side. It was too high Here that's where my seller was So here you have possibilities. You have I'm just showing you minutia not actionable I want you to see consistent behavior Now the piece the other piece of this is you only interact at locations. You don't Act in the middle of nowhere. But what you can do is you can see this how it works So this was too high based on these guys saying i'm not paying that Down here it was too low based on these guys You see the buyers if I come back here and it's still and I don't know This could be a short And off we go or this can be a long and off we go it's these and then you got to clear this You see where are the stops here? Here where are the stops under here? So let's look stops are here And this is now and if this in the developing time frame is retail And we know there's stops admitted in the v-wap and there's stops over these swings, right? So let's just see what it does stops And this is retail so in a fractal. I mean, this is kind of amazing, isn't it in the microstructure This is retail in this Microstructure i'm not paying that in this Microstructure this is retail That's too low So where is retail now in the next higher time frame? And where are the buy stops here? And then this is retail so we're shopping Where do we come we come above here? We break below This shifts up is this now the new price are we going to push off? No, we push the other way too high This is a short now in the trader lab This is like a running. I mean, this is something where you have to have experience. It's not easy The liquidity comes in the book, right? We have our you'll find this interesting again. So watch this buy stops buy stops sell icebergs These guys drop in that's like a hand and we don't know what they're going to do Right clueless. This is now retail. Is it too high or what? I don't know Let's look left by the way. You always got to look left Let's just look left. I want to take you back here because I'm not operating in a vacuum right here I didn't label it. Oops. Sorry Now let me show you this is I made a boo boo Boo boo is error You got kids running around the house you get in the boot Um, variable high volume node. Let's do this Now you'll see why This in this fractal or time frame was too high. This became retail. Okay, so Getting back This was too high. Okay, so let's watch now. I come back Where do I come here? price check Against this volume Too high now Right here Is a short Now I can't for me. I see this by the time I recognize it I'm just going to be getting in here. My stop's going to be above the liquidity. This is an ignition algo It's chasing it down pressure watch Liquidity see how it disrupts. Let's watch and we have targets down below So I wanted to I want to just Show you the I be right. So I'm looking for As I missed that so this is the part that's too low just before Oh, I think I got confused Where I am you just get back here. Okay. This is the first hour low. I want to show you the long um At 9 30 we have now none of this I was just showing you some of it are structured trades This is not a structured trade It is if you understand how the market works You would understand this and you would go long if you're in the trader lab And depending on your skill And this is you know, I've been doing this a while you might say so Um, I understand what this is And I understand this is the mean this is called mean reversion. It's outside and trading and it happens because we squeeze out Everybody and then what you're looking to do is continuation trades, but I'm going to show you now the I be So if you got short here your target is going to be this and below and again, we don't know so Because we have now stops under here From these buyers in this leg see this so let's watch we come down we take these guys out I be now we have two possibilities One is called the I be continuation trade which is a pullback and then a short or Or mean reversion and by the way, this is our next target down here. So we heading towards value area high Which is this for a target Now the I B F is a mean reversion trade And it's you got to decide whether or not you want to only take shorts Or whether you want to take a long into a short and let me explain the I B F It's mean reversion, which means the goal of the trade has come back to the mean and here's the the targets for it I don't know if they'll be At the time I just have to I'm going to just I'm going to explain something to here's the targets for this now The targets are the following V WAP mid V pock and developing value area high and the V pock, which is this volume point of control And the developing value area high. I believe we're at the same place at the time and somebody might confirm that because this is current So let's see what happens. So this is a long. Let me show it to you Or not There's now I was going to explain how do you this is a structured trade in the trader lab and you guys can reverse engineer these and And they like every trade it might work. It might not work. You'll take a stop.  So write that down trading is random But it's about statistical edge over a sample size of interactions Do you win more than you lose? Do you collect dollars or give them away? That's trading nothing more than that Other than how we feel about it and all the things we do. So we come down outside Right here, I'm looking at this And I'm thinking uh And then what goes through my head, uh, and I have a location Here a target and I have a high probability here so But I have my structured trade called the ib failure And what it is is mean reverse remember and where's the stops here here mean reversion sets up two things One is the retracement back the other part of it is continuation So you've got two uses for this one is the long or get out of dodge and look for the short Up to you in your trade plan and your understanding of market mechanics. So let's take a look and see what happens here fire Right here microstructure this tells me in this little Microstructure which is here and all the sellers are in here. This is uh, the delta, right? So everybody's short Everybody's At least down here. So these guys sold in the hole. So that becomes my fuel In other words, the buyers are the buy stops By you know buy stops buy icebergs Okay, buy icebergs sell stops. So this is the longs getting taken out. So now all these shorts all the selling Now i'm looking for okay. Now you understand. So this is too low There's my buyer and i'm clueless. I am the clueless. I pull back here I'm in this outside edge. This is absorption detector. There is absorption here See it. Okay. Anyway Fire liquidity in order flow comes in buy icebergs Long now, let's just watch And remember I take stops everybody does Buy stops are up here, right? So target Next target is here and then there's an outside edge which was right here This is your the trade is done here now. Like I said, there's two ways to use it mean reversion Or get out of da and this is just a structured trade. It's available in those PDFs And then since the final target was here. Remember, this is the mean. That's what's mean reversion Now, this is really tough because of the speed right here What do we have here? Let's look do you see something? Do you see something? Do you see something in the micro structure? 543 sell icebergs 40 sell icebergs buy stops volume micro Alignment and like I said, it's either a mean reversion back here Or it's a setup for a continuation trade back to the i below Which it was uh, wherever it is. I think it's covered up but Back to that yellow i b and then continuation on to our statistics. And what was my initial Target below you do remember? this right Can you see How Market works no indicator. What's my indicator? What's the purpose of the market? Let's go back to the whole reason we even have one the reason we have a market It's trying to figure out a fair price. It's going to check pricing. It's going to go man. That's still too high It's going to do it in all timeframes and fractals. Oh, no, I'm not paying that. Yeah, but this was fair yesterday Oh, well, let's check that And it's either going to be fair Or unfair too low. I mean or this one's too high and in between it's all the same Huh anyway, so the short is there the target is here Now I will look at your questions. I hope you're getting something out of it And I also get into real time and see what we got here Outside edge is up here liquidity is here. This is a distribution. Remember I showed you in the eth too high Too low now remember you got target If we come outside, this is also mean reversion. This is called outside in trading. It's rotational trade Stops are going to be out here, which I think we already picked off. So this is Not fair. I like to do it in real time, but this is my outside edge And it's called mean reversion if you're in the trader lab, you'd already know Now whether or not you can execute or you want to it's up to you. What was too high? Here seller There's my resistance And this move here this rip creates something called low volume And low volume means it was an auction. This is an auction not too low too high too low retail I'm out of here. Well, we're not paying that So we have the possibility like we do in all these Structures to come back and check it and when we run away from a price like this This is called it creates low volume It's not auctioned and then the market consolidates and does its thing. We come out here Shop And there's a seller again now the high volume is there But my outside edge is up here the market has a tendency to come out Take these stops and if it's now too high after the weak hands are out, we can Revert and it's called mean reversion. What I was doing on the long from that I be Which I still forgot where it is Was mean reversion back here So if we come outside to a low volume zone, it is the same process from out here Potentially or out here Back here But we're going to watch this and mean reversions by least favorite trade because you're trying to pick an outside edge And there's stops there. So it's very easy to get fooled. In other words, it comes out here Do you sell this against this? Well, you could But you also run, you know, it's just choppy what you're in is rotational trading So the key to trading something like this is now you are looking outside and let's let's look here And then I'm going to look at your questions. I apologize This right here is too high If I but I can also come outside and squeeze Up in the here. So think of it this way That's too high, but there's stops in this little micro structure. That's retail and out here is too high If this is now retail This is too low and maybe this is too high I can still pop through so I can be leaning towards this and Out here so in this area So if I'm going to get and I'm only going to get short doesn't mean the market won't go up. So let's look See, I don't know There's my high volume Which is aligned with this high volume that was rejected that we just came back to there's my seller I'm not paying that. So anyway, we'll watch. Okay. And where do we come? You see what this is This is now rotational trading. This is called mean reversion and what I find hard about it And then I'll get to your questions. Please be patient Uh, now this is a flat And what happened the reason that we have problems least I do with this Is that stops accumulate on both sides of these outside edges. I only want to be a seller. Why? We're rejecting all these prices and we fell out of that distribution here And this is my outside edge. What I don't know is where now value area high overnight mid All this is potential areas to be looking for the short And here's your liquidity. So I have confluence and this is how order flow helps these guys are hanging out Here's the selling icebergs selling icebergs selling icebergs I got confluence what I don't know Because nobody knows is how far up into this Low volume zone might I come and we could also remember this is trading We could just blow out of here and come all the way back up above. I mean joy the joy of trading Oh, here we are so You so anyway, that's what this is now you have to decide if if you're your skills or you have an edge In this context, this is called context. So that's a short And I don't call trades, but I'm more more interested not at trying to impress you that I actually know something I'm really more interested in you seeing something and it can you relate to it And as it makes sense to you, that's the most that's my objective. That's why I started trading and it was so that Retail traders can maybe understand how the market works because we think the market works Because of indicators that is not what the market is. It's not an indicator business It's actually a participant based business and the function of the market is to try to figure out what is this thing worth What are we willing to pay for it? Why and all that? um And where do we find potential excess price and think of this like shopping. Oh, it's on sale. I'm not paying that And Here we reject here. Let me just show you in the profile just kind of what it was seeing. This is a consolidation Outside edge too high too low Retail, but you know we sold right so if that's too high and then I fall out and I start a new consolidation This is my outside edge. This is all too high now. It can change So if I think this is too high because the participant says we're not shopping there and now we leave the the whole thing Now I have a new consolidation developing. It's rotating. Well, when I come outside I want to sell it to come back here Then whatever trade management or I'm holding for lower targets, which might there or not Nobody knows is that logical number? I appreciate your patience. So I'm going to look at your questions Thanks Um, hi rp. Thanks for the question rp is asking about overbought oversold. I don't know what overbought and oversold is relative to what you see um That's the thing overbought and oversold to me doesn't mean anything because it's overbought oversold is what? Divergence Too high what's too high? What's too low? I I can't tell my indicator is random What is overbought? This is Because the price is too high. That's overbought unfair price Out here, what's overbought? Is it there? Is it there? Is it going to be out here? That's the I mean, that's what we're trying to answer right But the problem rp is that that's random The thing is and this is the point of the trader lab If I strip all the indicators away, I don't use any I mean, I do look at delta, but all it's measuring is what I can see right here. It's just easier But um, if I look at delta But basically, you know Overbought oversold stochastics oscillators rsi's are all derivatives of moving averages. They're all the same Uh kelton and channels, you know derivative of moving average with a uh an envelope around it. They're all the same And the problem at least for me, you know, I only talk I only talk about me The problem is they're random Well, I don't want randomness. This is random I want consistent application of process so I can measure it. Otherwise. I'm just gambling I could go to casino and get a and get the coupon to the buffet and some cocktails And then I know I'm sitting on which side of the table. I want to be the house I want to trade with an edge I want to be in a business. I don't want to be a gambler There's a big difference between the house And the gamblers The gamblers make it up They're all random Now the cards coming out of the deck in the casino are also random So that creates the random environment, which is what we're in the difference is if I have structured trades Where I apply a consistent process Not sometimes this and sometimes that and a little of this i'm not making a stew I want minimum inputs. Why would I be short? You see What is my indicator? Tell me should I have gotten long here? Or should I've been getting short here? Do I know why I want to only be on shorts? Do I know why this was a target coming down? My indicator doesn't tell me that Do I know if we fall out of this distribution as we fell out of this one too high too high I want to be selling this outside edge for continuation trades to here And maybe lower. I don't know, you know, I mean my I can't know anything What I know Is potential and I know if I have a vetted trade plan that I like the casinos I only play games and let's think of setups as games You know just for a comparison They only play the games. They have a statistical edge They don't know the outcome of any individual hand just like nobody knows the outcome of any specific trade But they only play the games with the edge because over time they extract the dollars from the gamblers Well retail traders are really gamblers. I don't want to be a gambler I want to be the house And by having statistics it gives me the courage Because I know I have a probability of one outcome happening over the other even though it's random I can change my mindset from being Struck let's just say triggered emotionally by fear greed and inconsistency to seeing where my edge is When it shows up and what my metrics are for just doing the same process on a consistent basis Like the casinos play the games exactly the same way. They don't make them up They don't change them They don't change the number of cards that are dealt in blackjack. They don't do anything differently Even if somebody walks out with a suitcase with a hundred thousand cash, they next hand is dealt exactly the same way In the trading business If you want to sit on the house side of the table, that's how you'd get Potentially to it past performance is not addictive future results But this is why the trader lab exists because most retail traders never I think and it's just a personal opinion Don't have a chance Because they think the answer lies in a toolbox of indicators that are backwards looking Indicators have no idea why the market is going down today. If you understood market mechanics, you would know The potential not what it will do what it might do and then you'd anticipate it And if you see it you'd already have a vetted structured trade to participate and then like everything else the outcome is random Anyway overbought oversold That's kind of a long answer But the the basis of everything is understanding that this is not based on indicators It is based on participant behavior and an indicator is an attempt to translate that behavior Well, what I found is the indicators cannot be under there's no way an indicator And for me even a trading systems that I built Would understand why the market's going down They would hope to get aligned with the market and if they saw something like this the system might go long or Whatever I don't know, but I'm just saying is you know, if you're in a rotational market, which is now we're in rotational trading That's not the same as getting on the bullet train. Why how would a system know? The potential underlined to get long here to here and to get short from here How would a system or an indicator know? That this was the outside edge for a short. I don't think that works I'll put it this way if it works somebody ought to call me because it didn't work for me And I am telling you I spent years Thinking that it was just a turn of the screw or an adjustment or a time frame or this or that or you know I mean, we all do and the thing I didn't understand is I was using random inputs In a random environment and randomness times randomness equals chaos Nothing garbage, but I spent years thinking the answer was in the adjustment of those tools You know tuning tweaking adjusting. It's no different than somebody who moves a trend line. It's all the same You know, oh, it'll fit better this way. It's called fitting curve fitting. It's all the same and it doesn't work 1100 cell stops. Thanks for playing This is our we have another target here Not a recommendation. You've got and this is just algorithmic behavior. It's a bracketing out. So anyway, neither here Uh, any questions again? Sorry. Hope I answered that for you So here's the thing. There's not a right way or wrong way to trade guy I mean I I get asked all the time and I'm gonna say can you measure it? Here's why if the casinos play a game They measure it and they see It loses They don't play it Now early on and I mean early on, you know, I Those of you who know me I shared an office with George Wayne. He created stochastics. It was one of the early oscillators I thought the holy grail showed up. I mean really I said, oh, this is great Because it would cross over it would do, you know, and you look at it in hindsight and you have a crossover this that and the other so I applied oscillators to many different things not price only but volume I uh, you know Volume advancing volume declining volume. I had 32 markets. I was watching I wrote systems and I traded across many asset classes Uh, and I always ended up in the same place. It would work. It wouldn't work. It was inconsistent The equity to go up the equity to go down. I'd then uh Reoptimized to walk forward testing and on and on and on and I kept coming back to the same place And I just thought it was adjustment. I got into a routine where it was part of my thing Well, every two weeks I go back and you know, boom, boom, boom, and I thought you'd keep up with it that way I was always behind the market. I was never in real time because I was adjusting what I was doing this to something that isn't current And I was not in alignment with what was happening now I was in alignment with what happened a couple weeks ago a lot of good that does me the other thing is When we use indicators, we're trying to fit the market into a box When the market is dynamic and ever changing If you understand how the market works, you would understand why this was a short up here The indicator, uh, not so much Maybe, you know, anyway, this is one way to do it and I always think about this like, uh If you're waking up in the same place working hard, uh, and you're getting the same outcome Even though it's gamblers, we have winnings and losing, you know Where is your edge? Do you even have an edge? I call that trader groundhog day when you're continually chasing Yesterday when we are trading day And if you are interested in learning more about How the market works auction market theory why The market exists. What is its function? How might you get aligned with it? um There's the 60 pdf's you can download and you can reverse engineer. Also, if you're in the trader lab Um, not only is there a library of webinars and I suggest if you visit the trader lab you download these pdf So you can take a look at this stuff And i'm not a vendor. Uh, you don't have to be a book map subscriber Uh, you won't be solicited the trader lab is a group of like-minded traders who've done everything you've done I mean the collective view We've all done the same stuff the question becomes if you're waking up in the same place. Maybe it's not you Maybe it's the process And the problem we have is if we're in a random environment with a random process, we're gonna and not understand That the process might be defective You're going to be continually doing the same thing and if you're getting the same outcome You might want to think of doing something else if that interests you and uh, the trader lab, you know, this community We've all done the same thing So and the thing is this may not be for you Any of us because this is another way to experience the business of trading But if you've been doing something and it doesn't work, I think You know, if you can't get a yield out of your effort get something from your experience What do you know if you're doing the same thing and it doesn't work, you know, you might want to Look into something else. I was very hard for me to let go of what all the work in years I spent with Indicators trading systems. I'm not talking months. I'm talking years And how do you let go of something that you've invested so much of yourself into you have a belief that it'll work It's just getting it right Well, maybe you can't get it Because it's defective that's hard to deal with I will tell you So anyway, these are all available to you Like I say, it's not a trading course. I did these because traders were asking me. What are you doing?  Some are actual trades. Some are just screenshots It's not and some are experimental some of this I work with developers at book map and this has gone back to 2020 And they coded stuff up for me and and some of this stuff got jettisoned, you know But I think there might be something here and if you're interested Go to the book map discord trader lab chat. There's a link in youtube if you're interested in this Download the pdf say hi introduce yourself. It's a great community There's a lot of screenshots circles arrows statistics and tools that are available to you And I have to tell you the reality of the trading business is really different from the fantasy And I recommend that if you're not getting where you want to go that you Maybe just see what else is available There's a reason the retail traders have such a poor outcome Statistically, it's because they all do the same thing. They all think the same way And statistically it doesn't work if you ever have the opportunity to talk to long-term career traders You're gonna learn a lot about What they do and I can assure you they are not doing what you do why because There's for every winner. There's a loser in the market And if the retail trader failure rate is so high Where are those dollars going? They're not staying with the gamblers. They're crossing over to the house the house trades with a statistical edge the games that are played in the casinos are vetted structured games In the trader lab, it's about vetted structured trades that have a statistical edge And of course past performance is not digging results. There's more to it, of course But in a community you can leverage the experience of everyone who's there And I will say it might be an alternative if you're not satisfied with your current process I'm up. Please in youtube and by the way, I want to remind you all This stream is available exclusively to bookmap discord trader lab participants And it'll be available through the weekend. Now all my other streams Are available for minimum 24 hours and the library of webinars is available to everyone In the bookmap discord trader lab chat and there's a primer webinar if you want a high level overview of this It's about an hour. It gives you the concept. What's behind this? Why and it also talks about the business of trading If you get if you can kind of get a global higher level view of what the business of trading is You might have like many other traders have had an aha It's up to you and I'm not saying this will work for you. It doesn't nothing works for everybody because this is language This is a foreign language. We use indicators to translate. All I've done is Learn to speak the language. I don't need a translator That's what this is about if you're interested Visit the trader lab. You there's a link in the bottom of youtube You don't have to be a bookmap subscriber. Now. However, never you'll never be solicited But I think it might help. It's up to you if you get some value from this Thanks again, everyone. Have a pleasant weekend. Remember our next target is down at that value area low val around 24 Let's see where we are here And I appreciate you visiting the trader lab today. Hope you got something out of it And again, none of these are trade recommendations. It's market mechanics Hope you got something from this and I hope you see how this a process and approach might Potentially give you an edge of the over other Detailed traders who don't understand how the market works Thanks again and have a great weekend


The heterogeneous nature of extracellular vesicles, EVs, presents a challenge when using them as a diagnostic tool for cancer. Surface Plasmon Resonance Microscopy, SPRM, can be used to analyze these tiny particles but it is difficult because of their low contrast and poor signal-to-noise ratio. A new software package called Digital EV Analyzer, DEAE, was developed to address this issue. It enables fully automated single EV identification, digital counting, sizing, and quantifying dwell time. Additionally, DEAE includes a classification algorithm and intelligent searching algorithm for sub-population analysis. These features allow for accurate grouping of EVs from different sources, making SPRM more accessible for use in cancer diagnosis. This article was authored by Zifeng, Chunwei Zhao, Jiying Xu, and others.


I chose San Jose State after looking at a few different options for online masters in library and information science and San Jose State really stuck out to me because they offered a lot of upfront support. They offered a lot of different career pathways that really resonated with me such as leadership and management and public libraries and many of my co-workers had completed their degrees at San Jose State and had a lot of very positive feedback to provide for me. I work as an adult literacy program coordinator so I'm not a traditional librarian but I still wanted to get my masters in library and information science so I could continue to grow in my field. There's many tech companies that are hiring for data driven positions and learning and development and I've found that the courses that I've taken at San Jose State have directly aligned with a lot of what these companies are looking for such as instructional design, database management and so many other things that really can apply outside of the public library world. I love working with learners in the community and working in adult education and through my degree I've been able to really solidify my understanding of adult learning principles and instructional design and so I hope someday to be able to maybe be a program manager of a large nonprofit educational organization and be able to make a difference in the community.


Hi everybody we're back this is Dave Vellante of Wikibon.org I'm here with Atstu, Stu Miniman who is my co-host today. We're live at Edge, this is theCUBE. Eva Helen is here and she's I believe the CTO of Sambolic, the most interesting company that you've never heard of. Am I right? Are you the CTO? No I'm not really the CTO I'm fairly technical. I am one of the co-founders and definitely the president. I know you're an alpha geek. I am. I have written code. So your president, founder, co-founder. Yeah and I hand a lot of the sales side of what we're trying to do at Sambolic.  So anyway, welcome to theCUBE. Thank you so much. Thank you for making some time to come by. So Edge you're here. You got a shout out yesterday from Ambush Goyal. That must have been pleasing. You shouted back. I did shout back. He kind of asked for that. Yeah that's good. So what are you doing here at Edge and what are you guys doing with IBM? Well first of all we're extremely happy to be here because our relationship with IBM is fairly new. We have a lot of joint customers but those have kind of passed under the radar until now. Now we're trying to basically look at who's actually using IBM hardware to see how are they using the Melio software together with these IBM deployments. But the primary reason I came here was because we're launching a SQL server appliance with SystemX this week. And it's been in the works for a long time and it's a very exciting solution and we're going to bring it to market through partners. Yeah so tell me more about the, you announced that one today or yesterday? It was SystemX did a whole bunch of announcements yesterday and we were one of those. So what we're seeing is, you know, I'm meeting with a lot of people from the channel that are actually selling SystemX and one of the things that they're looking for is complete solutions that can accelerate the SystemX sales. So what we've done is we've taken storage servers and maybe I should just tell you a little bit about what Sambolic does before I start. Let's start there. I mean I know the company a little bit. So we set off camera. You are the software defined and software defined storage. It's back up.  You've built out an amazing robust storage stack. One of the best in the industry. So tell us about the company. Yeah. So we started the company 13 years ago. So we've been around for a long time and we came from distributed computing, working in the telcospace initially. And we've basically continued to develop the software suite continuously as we started and just build on top of what we started from the very beginning. So it's a complete data management suite that we have that consists of three layers, volume management, cluster file system and application clustering. And as software defined storage has now all of a sudden become the hippest of all hype words, it aligns really, really nicely with what we do. So we've not reinvented anything. We've just continued to build on what we had from the very beginning. So those were software only. There's no appliance. There's no specific server that comes with the software. We just install on all the servers in a cluster and give those shared access to the storage to provide high availability and scale out for applications. So in the SQL server appliance, which we're launching this week with IBM, we're basically taking storage servers, the hard drives out of those using the volume manager to stripe across, sharing it out with the file system and providing application clustering for SQL server from the top. So we cover all the three layers in that stack and it's software defined storage because there is no external storage device. Okay, so it's software only, but it's also software, what makes it software defined? So you abstract the underlying hardware. And then you allow granular access to services that are in your stack through an open API. Okay. And then you are sort of device agnostic, right? We're completely device agnostic and hence the reason we haven't looked so carefully at all the types of hardware that our customers are using because it's an array of everything. But we are storage agnostic and brand agnostic. We're protocol agnostic, server and hypervisor agnostic and now also storage media agnostic. And so that's why it's very exciting to be part of all these flash sessions that are going on during these days because what we can do is we can mix and match, we can combine spinning disk and flash in the same environments and with a component in the file system we can intelligently place the data a little bit more advanced than some of the other tiering tools that are out there. Yeah, so you've got a quality of service component that is more advanced, it's somewhat unique in that regard. But because I've seen the demo and you've got a veriting card you've got a fusion card, you've got spinning disk, you've got a melanox, you know switch and everything's going in within Finneband or TenGiggy and you've virtualized that entire infrastructure and then your file system is smart enough to place data in the right place. Yeah. And I think a lot of the hardware vendors and a lot of the technology that IBM has come a very long way. I think all the stuff that they're doing with TMS is extremely exciting and they've really made a huge leap forward but there's still some things that we can add, some value that we can add to that. Talk about that a little bit. Well, specifically in even if you're doing tiering, even if you are talking about the economics of the data and how are you placing it and so on, there's still multiple copies, there's still pools of storage and data that needs to be managed individually, data that needs to be moved around. The whole idea with our product suite is to create one pool of the storage that can be accessed from multiple places. So you're providing the high availability from the file system layer. All of a sudden you have a much more stretchable backend and that can be made highly available on premise in one location but you can also stretch that across sites. So in some cases what we've done with IBM is we'll have multiple locations, let's say two locations with XIV storage from IBM in both locations and then we use our RAID, the mirroring in our file system technology to stripe across those two sites to get high availability across sites as well. So there's all of a sudden a much more flexible backend and we're creating a more agile infrastructure based on the hardware components that IBM and other vendors have. So you've got a full volume management, data management, storage management stack in software, RAID, snapshots, replication, the whole deal. Yeah and I think one of the most important things is how we can scale out because even with the good flash technology that IBM is providing now, there's still not the ability to scale out seamlessly and that's one of the features that we add so nicely. So you can actually scale up to 65,000 storage devices, volumes that are 18 million terabytes and up to 2048 nodes in a cluster. Our typical customer environments are not that big but that said you can still scale out very very easily. And how automated is it in terms of making changes, dealing with hotspots? Does the system predominantly do that? Is it so-called autonomic? Is it really simple to move stuff around? Well, first of all it's very intuitive to use the software. We've spent 13 years on trying to develop something that's very easy to use. So the installation process is basically six next buttons and you're done. There's no training courses that you need to go for multiple days to learn how to use the software. It's extremely intuitive. Then a lot of the processes can be automated. You create settings and you were talking a little bit about the quality of service and the quality of service is something that you can tweak and make sure and guarantee that either an application file or a process is highly available. So it is a very intuitive software and it's really not an extra management layer. This is something that goes in as a piece of the infrastructure and it's not requiring any extra overhead or anything like that. So we don't affect the performance, which is obviously today one of the most important topics. We do not affect the performance negatively in flash environments. So you must have loved it last summer when VMware came out with the whole software-defined data center and then of course at EMC World you saw the announcement of Viper. We're here at Edge, big theme on software-defined storage. NetApp today announced Clustered ONTAP, Data ONTAP, 8.2 the press release, the whole bottom half of the press release was all about SDS. You must have seen that go, wow, this is great. This is what we do. Well, it is kind of funny how the market is coming to us because we've been at this for such a long time. Now this is still today. I'd like to compare it to fashion. It's not very fashionable to be ahead of your time and that's been the story of symbolic. We've always been ahead of our time and it doesn't really pay off. Now the technology and we are sort of better aligned and we find and think that our time is yet to come and software-defined is still a lot of talk. We can actually do that today and we are doing it today. I don't think that it's going to be over very soon either. This is just the beginning of it. The platform that we have developed is incredibly solid and good and stable and we have over 800 customers using it. Now we're just expanding that to other storage media. I have to agree your comment on software-defined storage is still relatively new especially for the big guys. Back for us a little bit, what have you seen in those customers? What's the driver as to why they've moved to that? What's been compelling to have customers move to this kind of new paradigm? I think that we're seeing the organizations are very siloed. There will be people that are dealing with storage, people that are dealing with applications, people that are dealing with the networking. The ideal customer I should say are the ones that are actually talking to each other where they actually sit around a round table every now and then and talk about what is the future, what is it that we need, where is it that we can save money, how can we actually get better utilization out of the hardware that we already have. I think that the application IT managers and the storage IT managers as they are meeting that's when software-defined storage and software-defined everything is going to become a lot more interesting. We're seeing that it's a process where symbolic typically has gone into customers talking to them about an application, VDI, SQL, file or web serving. Now all of a sudden we get an opportunity to talk to everybody at all the different layers of the infrastructure and they understand the value of putting a software that improves availability and scalability of applications by tweaking down at the storage layer. So are you finding yourself getting into the customer environment through that application owner or line of business and that's moving the storage guys or the storage guys part of the discussion at the beginning? No, the storage guys usually come in later. They have their own hardware, but they're also the ones that get beaten up by the application guys if the performance is not good enough or if they don't have enough space for their applications or whatever it might be. But right now, like I said, the ideal customers are the ones that drag in the storage people already from the very beginning. So let me ask you, so you're now seeing all this everybody come to software-defined, they're trying to extract their function out of their middleware, controllers, wherever it is. It took you a decade plus to develop this software. How long do you think it's going to take the industry? They're using more modern tools, you guys use them now as well, but decade ago it would take longer to build that stack out. You didn't have as many resources as a large company, but as we all know, throwing programmers at the problem doesn't necessarily speed things up. In fact, oftentimes it can slow things down. So what in your estimation, how much of a functional lead do you have? How long will it take? For example, an EMC or an IBM, if in fact they wanted to or an HP to build out that type of storage stack for the software-defined world. Will it be a year, two years, five years? Well, there's still so many layers and there's so many components of it, so I think that we're going to see sort of a gradual increase, right? Not everything is going to happen at once. It's not like we're ever going to be done. So there's going to be a little bit in six months, a little bit more in a year, a little bit more in two years. But I don't think that there is a sort of universal solution that anybody's going to come up with, because customers are always going to want more and more and all of us are just going to try to continue to respond to those requirements. So I don't, I can't say. So it's the depth and quality of what you're doing versus the tick-off item that, oh yeah, we have the snapshot. Well, we have more of a, you know, symbolic as more of a holistic view of the whole data center. What does it look like? What is it going to look like in two years from now, in five years from now? And we believe very much in the way that the public cloud providers have developed and designed their data centers. Scale out. Yeah, with, you know, commodity hardware, intelligence in the software, they've had to design their own and write up their own software to accommodate the requirements that their customers need. And we believe that we can help to take that concept to the enterprise. So you've a hyperscale mentality for your little slice of the world that you're bleeding into the enterprise. Yeah. Excellent. All right, Eva, well, listen, thanks very much for stopping by the Cube. It was great to have you on. It was good to meet you again. Thank you. All right, keep it right there, everybody. Thanks. Thanks for watching this program. We have Jeff Jonas coming up. If in fact, he's still awake. He just got in from Australia. He was doing an Iron Man competition. But he's a fantastic interview. So keep it right there. Right back with Jeff Jonas right after this.


So that's so big, we can't stop talking about it. Previewing for the next competition, for the next three days, of course, it's the College Bassmaster National Championship, taking over Lake Bemidji this entire week. It's 6 a.m. tomorrow, 90 teams of anglers will start their engines and hope to be the last pair standing Saturday, be on top of the College Bassmaster Series Tour. They've been qualifying and fishing like crazy all over the country this entire summer, and it all comes down to the best 15 fish caught in three days. The two BSU teams already said there's no home lake advantage with this talent field. So what can we expect on the water for this week? Definitely a lot more difficult than lakes in this area. But as far as like lakes don't go down south right now, I would say it's probably just the same or if not a little better. It's a tough lake to pattern. When you do figure it out, it's easy to run that pattern. It fishes kind of small, so with 90 guys out here, and these are the best college anglers in the nation, they're all really good, they're here for a reason. The fishing pressure is gonna really take a toll on the fishery, so I think that's really gonna determine what areas are better than others and what teams do better than others too. Whoever can figure them out the quickest and the bite that's gonna last three days is gonna be the one that takes home this trophy. So competition the next three days, of course the finals on Saturday weigh-in start at 2.30 at Paul Bunning Park every day. If you've enjoyed this segment of Lakeland News, please consider making a tax deductible contribution to Lakeland Public Television.


I'm Darren Marlar, the host of Weird Darkness with stories of the paranormal, supernatural, legends, lore, mysterious, macabre, unsolved, and unexplained. Recently chosen is one of the best storytellers in podcasting for 2019 by Podcast Business Journal and a finalist for the People's Choice Podcast Awards for storyteller drama. Look for Weird Darkness in your favorite podcasting app.