What is the name of that well and what is the name of this well? That's right. Dad's got to go. Thanks, bud. Bye. Hi. I'm Scott Johnston, CEO of Docker and welcome to DockerCon 2020. This year's DockerCon is an all virtual event with more than 60,000 members of the Docker community joining from around the world. And with the global shelter in place policies, we're excited to offer a unifying, inclusive virtual community event in which anyone and everyone can participate from their home. As a company, Docker has been through a lot of changes since our last DockerCon last year. The most important starting last November is our refocusing 100% on developers and development teams. And as part of that refocusing, one of the big challenges we've been working on is how to help development teams quickly and efficiently get their app from code to cloud. And wouldn't it be cool if developers could quickly deploy to the cloud right from their local environment with the commands and workflow they already know? We're excited to give you a sneak preview of what we've been working on. And rather than slides, we thought we'd jump right into the product. Joining me to demonstrate some of these cool new features is Anka Yardake, one of our engineers here at Docker, working on Docker Compose. Hello, Anka. Hello. We're going to show how an application development team collaborates using Docker desktop and Docker Hub, and then deploys the app directly from the Docker command line to the clouds in just two commands. A development team would use this to quickly share functional changes of their app with the product management team, with beta testers, or their development teams. Let's go ahead and take a look at our app. Now, this is a web app that randomly pulls words from the database and assembles them into sentences. You can see it's a pretty typical three-tier application with each tier implemented in its own container. We have a front-end web service, a middle tier, which implements the logic to randomly pull the words from the database and assemble them, and a back-end database. And here you can see the database uses the Postgres official image from Docker Hub. Now, let's first run the app locally using Docker command line and the Docker engine in Docker desktop. We'll do a Docker Compose up. And you can see that it's pulling the containers from our Docker organization account, Word Smith, Inc. Now that it's up, let's go ahead and look at local host. And we'll confirm that the application is functioning as desired. So there's one sentence. Let's pull. And now you can indeed see that we are pulling random words and assembling into sentences. Now, you can also see, though, that the look and feel is a bit dated. And so Anka is going to show us how easy it is to make changes and share them with the rest of the team. Anka, over to you. Thank you. So I have the source code of our application on my machine, and I have updated it with the latest team from DockerCon 2020. So before committing the code, I'm going to build the application locally and run it to verify that indeed the changes are good. So I'm going to build with Docker Compose the image for the web service. Now that the image has been built, I'm going to deploy it locally with Compose up. We can now check the dashboard in Docker Desktop that indeed our containers are up and running. And we can access, we can open in the web browser the endpoint for the web service. So as we can see, we have the latest changes in for our application. So as you can see, the application has been updated successfully. So now I'm going to push the image that I have just built to my organization's shared repository on Docker Hub. So I can do this with Docker Compose push web. Now that my the image has been updated in Docker in the Docker Hub repository, or my teammates can access it and check the changes. Excellent. Well, thank you, Anka. Now, of course, in these times, video conferencing is the new normal. And as great as it is, video conferencing does not allow users to actually test the application. And so to allow us to have our app be accessible by others outside organizations such as beta testers or others, let's go ahead and deploy it to the cloud. Sure, we can do this by employing context. Docker context is a mechanism that we can use to target different platforms for deploying containers. The context will hold information as the endpoint for for the platform, and also how to authenticate to it. So I'm going to list the context that I have set locally. As you can see, I have I'm currently using the default context that is pointing to my local Docker engine. So all the commands that I have issued so far were targeting my local engine. Now, in order to deploy the application on a cloud, I have an account in Microsoft in the Azure cloud, where I have no resource running currently. And I have created for this account, dedicated context that will hold the information on how to connect it to it. So now all I need to do is to switch to this context with Docker context use and the name of my cloud context. So all the commands that I'm going to run from now on are going to target the cloud platform. So we can also check very more simpler in a simpler way, we can check the running containers with Docker PS. So as we see no container is running in my cloud account. Now to deploy the application, all I need to do is to run a Docker compose app. And this will trigger the deployment of my application. Thanks, Anka. Now notice that Anka did not have to move the compose file from Docker desktop to Azure. Notice she had to make any changes to the Docker compose file. And nor did she change any of the containers that she and I were using locally in our local environments. So the same compose file, same images run locally and up on Azure without changes. While the app is deploying to Azure, let's highlight some of the features in Docker hub that helps teams with remote first collaboration. So first, here's our teams account, wordsmithink. And you can see the updated container sentences web that Anka just pushed a couple minutes ago. As far as collaboration, we can add members using their Docker ID or their email. And then we can organize them into different teams depending on their role in the application development process. So, and then once they're organized into different teams, we can assign them permissions so that teams can work in parallel without stepping on each other's changes accidentally. For example, we'll give the engineering team full read, write access. Whereas the product management team will go ahead and just give read only access. So this role based access control is just one of the many features in Docker hub that allows teams to collaboratively and quickly develop applications. Okay, Anka, how's our app doing? Our app has been successfully deployed to the cloud. So we can easily check either the Azure portal to verify the containers running for it, or simpler, we can run a Docker PS again to get the list with the containers that have been deployed for it. In the output from the Docker PS, we can see an endpoint that we can use to access our application in the web browser. So we can see the application running in clouds, it's really up to date. And now we can take this particular endpoint and share it within our organization such that anybody can have a look at it. That's cool, Anka. We showed how we can deploy an app to the cloud in minutes in just two commands and using commands that Docker users already know. Thanks so much. In that sneak preview, you saw a team developing an app collaboratively with a tool chain that includes Docker desktop and Docker hub. And simply by switching Docker context from their local environment to the cloud, deploy that app to the cloud to Azure without leaving the command line, using Docker commands they already know. And in doing so, really simplifying for development team getting their app from code to cloud. And just as important, what you did not see was a lot of complexity. You did not see cloud specific interfaces, user management or security. You did not see us having to provision and configure, compute, networking and storage resources in the cloud. And you did not see infrastructure specific application changes to either the compose file or the Docker images. And by simplifying away that complexity, these new features help application development teams quickly iterate and get their ideas, their apps from code to cloud. And helping development teams build, share and run great applications is what Docker is all about. Now Docker is able to simplify for development teams getting their app from code to cloud quickly as a result of standards, products and ecosystem partners. It starts with open standards for applications and application artifacts and active open source communities around those standards to ensure portability and choice. Then, as you saw in the demo, the Docker experience delivered by Docker desktop and Docker hub simplifies the team's collaborative development of applications. And together with ecosystem partners provides every stage of an application development tool chain. For example, deploying applications to the cloud in two commands, what you saw in the demo, that's an extension of our strategic partnership with Microsoft, which we announced yesterday. And you can learn more about our partnership from Amanda Silver from Microsoft later today, right here at DockerCon. Another tool chain stage, the capability to scan applications for security vulnerabilities, that's a result of our partnership with Sneak, which we announced last week. You can learn more about that partnership from Peter McKay, CEO of Sneak, again later today, right here at DockerCon. A third example, a development team can automate the build of container images upon a simple git push as a result of Docker hub integrations with GitHub and Elassian Bitbucket. And as a final example of Docker and the ecosystem helping teams quickly build applications, together with our ISV partners, we offer in Docker hub over 500 official and verified publisher images of ready to run Dockerized application components, such as databases, load balancers, programming languages, and much more. Of course, none of this happens without people. And I would like to take a moment to thank four groups of people in particular. First, the Docker team, past and present. We've had a challenging 12 months, including a restructuring and then a global pandemic. And yet their support for each other and their passion for the product, this community, and our customers has never been stronger. We thank our community. Docker wouldn't be Docker without you.  We thank our users, more than 6.5 million developers who have built more than 7 million applications and are then sharing those applications through Docker hub at a rate of more than 1.5 billion polls per week. Those apps are then run on more than 44 million Docker engines. And finally, we thank our customers, the over 18,000 Docker subscribers, both individual developers and development teams from startups to large organizations, 60% of which are outside the United States. And they span every industry vertical from media to entertainment to manufacturing, healthcare, and much more. Thank you. Now, looking forward, given these unprecedented times, we would like to offer a challenge. While it would be easy to feel helpless amidst this global pandemic, the challenge is for us as individuals, and as a community to instead see and grasp the tremendous opportunities before us to be forces for good. For starters, look no further than the pandemic itself. In the fight against this global disaster, applications and data are playing a critical role. And the Docker community quickly recognized this and rose to the challenge. There are over 600 COVID-19 related publicly available projects on Docker hub today, from data processing to genome analytics to data visualization. Folding at home, the distributed computing project for simulating protein dynamics is also available on Docker hub, and it uses spare compute capacity to analyze COVID-19 proteins to aid in the design of new therapies. And right here at DockerCon, you can hear how Clemente Beando and his company, Engineering, Ingegneria Informatica, are using Docker in the fight with COVID-19 in Italy every day. Now, in addition to fighting the pandemic directly, as a community, we also have an opportunity to bridge the disruption the pandemic is wreaking. It's impacting us at work and at home in every country around the world and every aspect of our lives. For example, many of you have a student at home whose world is going to be very different when they return to school. As employees, all of us have experienced the stresses from working from home, as well as many of the benefits. And in fact, 75% of us say that going forward, we're going to continue to work from home, at least occasionally. And of course, one of the biggest disruptions has been job losses over 35 million in the United States alone. And we know that's affected many of you. And yet your skills are in such demand and so important now more than ever. And that's why here at DockerCon, we want to try to do our part to help. And we're promoting this hashtag on Twitter, hashtag DockerCon jobs, where job seekers and those offering jobs can reach out to one another and connect. Now, a pandemic's disruption is accelerating the shift of more and more of our time, our priorities, our dollars from offline to online, to hybrid and even online only ways of living. We need to find new ways to collaborate, new approaches to engage customers, new modes for education and much more. And what is going to fill the needs created by this acceleration from offline to online, new applications. And it's this need, this demand for all these new applications that represents a great opportunity for the Docker community of developers. The world needs us needs you developers now more than ever. So let's seize this moment. Let us on our teams go build, share and run great new applications. Thank you for joining me today. And let's have a great DockerCon.


Morning Traders. Welcome to the Traders Lab. I'm your host, Tom B. Thanks for stopping by today. Can I please get a screen and audio check in YouTube and the Discord chat? Thank you. Please remember I am streaming from Costa Rica and Internet and our can be a little challenging at times. Friday was a bit difficult with the Internet going in and out. So just please be mindful if I do disappear. It's because the monkeys are swinging on the table most likely and the support team at Bookmap will if needed will place another link in the YouTube. I should be able to reconnect to Discord but if there is a problem in YouTube there is a link in the bottom of the YouTube chat and can bring you to the Bookmap server and Discord where you can access not only the stream but all the resources available in the Trader Lab. So that will be there for you. Just want to make sure you're aware of that. So again thanks for visiting the Trader Lab. I'm your host Tom B and I stream live subject to monkey business. How do you like that? Monday through Friday 1130 to 1p Eastern Standard Time. This stream is about integrating Bookmap order flow tools with auction market theory using a volume profile in the intraday developing timeframe. This stream is built on structure trades that are available to everyone in the Bookmap Discord Trader Lab chat. This way you can download the 60 PDFs of structure trades, take a look at them, reverse engineer them if you can relate to them if they make any sense, and then you can also you know see where they might fit in your plan. And I appreciate by the way in the Discord chat that you kind of keep any posts now relevant to the stream. Maybe Tuna you might want to post that later, remove it, would be okay, and then just put it back in after the stream because it forces things off the chat and I can't see. General disclosure, all Bookmap limited materials, information and presentations are for educational purposes only and should not be considered specific investment advice or recommendations. Risk disclosure, trading futures equities and digital currencies involve substantial risk of loss and it's not suitable for all investors. Past performance is not necessarily indicative of future results. Please remember this is not a trade calling room, this is based on structure trades that you can all download. Thanks everybody, trying to take care of a little business here. Okay everyone, so if you guys remember Friday was a really a nice long day, long day, but it was also a long only day in the Trader Lab. So I hope you guys took advantage of it and once we broke out of the consolidation towards, I think it was towards the end of the stream, there was a big stop sweep on the breakout and then once you're out there it's thin air, there's nothing really to hold the market back at that point. The possibility is breakout, exhaust, pullback inside and we really just kept going. I don't remember, I wasn't here after 12 noon central time. So that's the condition of the market and so coming in today after a move like that and all the media hype over the weekend, the new bull market, etc, etc, there's a few things you might anticipate of course. What is that? Continued buying Monday morning today and also profit taking. So you know the thing about it is in this kind of configuration, the long side early would make sense. Then the late buyers potentially can get swept out and then you got to see where it comes back and then that sets up our higher time frame targets that are above us. And you know like everything in a trade plan, remember it's only we don't know what's going to happen. So if you're in the, if you think you can predict and know then that's as good as flipping a coin which of course every trade is a coin cost. But predicting is really not our business in my opinion. I want to try to get something else here. See if I can do this without making big trouble. This is investor RT. It's my higher time frame platform and it's RTH only. I just want to show you a couple of things. So you kind of get a sense of perspective. Now this is Friday, Friday's breakout day. This was the outside edge of the consolidation. Once you come out here we had this fur target which is around 57 half. We had this is the, where the highest volume was, it closed at the high of the day on Friday. That is suggesting acceptance at this level. The next target was up around 4880 ish right here. And then we have 4906 and 4913. So these are our targets based on auction market theory. Now what, and you'll notice on Friday, this is what set up the long Friday. I want to show you this because all this is on the price map before the market opens. And what it basically is, we opened on Friday in the gap, came down and checked the highest volume for this swing. Let me just show it to you. So we know this. If you're in the trader lab you would know it. Now let's be realistic. We don't know what's going to happen but we know the levels. That's part of what the auction is about. Swing low, swing high, and then this was the consolidation. So all of this energy in this box, the buy stops were here. And that's where this red line was, which is a low volume node. So low volume, you might think a low volume like a separator between consolidation or distributions. And this happens in all fractals and time frames. So that's low volume, that's low volume, that's low volume. But when we're looking at a higher time frame, which is all of this energy, so you have to remember, consolidations, you've got sell stops at one end and buy stops at the other. Well when one of these guys or participants is off sides you're going to get an acceleration.  So that's the higher time frame or intermediate time price map. Then what we're doing with the auction, the concept of the auction. And now this, don't forget these are futures contracts and they're back adjusted. This is the last time up in this area where we had, this is the highest volume. So in the intermediate time frame, this level is coming off of here, which is going back to, let me just give you the date, November 8th, 2021. So this is a key level of volume. And that is saying this is too high, this is too low, this is where the high volume is. So that creates a target at $49.06 and then $49.13 is the highest volume from this day. And we haven't tested it. So that's what sets this up. So this, so this is our, you might say our price map in a higher time frame, and then we go down into the developing time frame. So the market tends to operate this way. Hold on, moving things around. Don't forget I'm on Costa Rica on a laptop. Let me tell you, that gets a little challenging. So let's come back here. Let me see if I can see the chat. I have to trust everything that's scrambled. I'm not sure what's first with your, are you guys still with me? I still feel like I'm in a hard to tell. Okay, I don't know, are you asking me a question? I'm not sure what's going on. Okay, so let's go take a look at the open here. So we have a couple of things that are important. Overnight volume point of control and the overnight mid. What the overnight volume point of control is the highest volume in the ETH. Think of it like a retail price. Now let's go down the other side of the price ladder. I just got to get into this. Yesterday's high ETH low. There is no value yesterday. Value area does not exist in theory. And so you understand why the market went into a trend configuration. It doesn't know what it's worth. When you trend, it is the market out of balance. Out of balance means it's not rotational. Even though it can rotate inside itself, it is directional. That is a trending configuration. So in a trend, what you have is the market doesn't know. So it just rolls. And then you had the breakout of that consolidation. So all the buy stops. So that's the fuel. So on a higher timeframe, all these shorts were getting used. But this in the ETH is an important level. And I want to go down the price map a little bit further. This was the highest volume on Friday. So here's what we know. We opened above it. So what's our potential price map? Here's our open overnight high ETH high potential list to check there. So that's a target. Here is a target high volume in the intermediate timeframe in this. So going up, this is the price map, going down, build a gap in this, and overnight mid and overnight volume point of control. Those are the key levels in the auction for the starting out before anything happens. So those are important to note. Is everybody with me so far? How are we doing in YouTube? We okay? And remember, if you're in YouTube, appreciate you visiting the Trader Lab. If I drop out, it's because of the monkey swinging on the vines down here in Costa Rica. And book map team is kind of backing me up here. And if I go south of the border, which I literally am in Costa Rica, they will either put a new link or connect the links somehow. So I come back assuming the monkeys get off the vine or you can come to the book map discord chat. There's a link in the bottom of YouTube. And it will bring you into the book map server. You don't have to be a subscriber to book map. Now, ever never in book map will never solicit you. So that's an option. Plus all the resources in the Trader Lab, 60 PDFs of these structured trades and a library of webinars, you can kind of get the lay of the land and how this process might work. I do not use any indicators. I basically let the participants tell me what's going on. And but I do have something on here that I can discuss with you if the circumstances permit. And it's called market pulse. And that is a tool available in book map that I've been spending some time with. So I'll show you how that works also. So anyway, RTH open. Remember, ETH retail price and the function of the market is it's really a shopping experience. You know, it's very exciting. Let's go to a store. But the idea of the market is to figure out what is too high, what is too low, and what's retail. And it does it in all fractals and timeframes. And this is the thing we have to remember. As day traders, we are trading inside of multiple timeframes. As you think of them, it's time. I don't use time, but same concept. I just use structure. So it's very similar, except to me, I don't try to put the market in a box. You know, I don't say you've got to do something in a five minute structure. You just need to do something in any time frame structure or length of time or volume based structure, not clock based. So it's similar conceptually, except the clock is not overlaid in this. So here, let's look at the first opportunity here. Now, the yellow line is called the developing volume point of control. And what this is, is the highest volume price. Now, remember, if we're shoppers, we're trying to determine the market participant behavior of what's too high, what's too low. We also know that this is the ETH high. We know we are in an uptrend. We know we have broken out.  So we and anyone who missed yesterday and all of that, you know, will want to get in potentially this morning. Of course, we don't know what's going to happen. So let's not think about that, because we're not in the prediction business. We're in the business of maybe, just like the casinos. So let's look, market opens. Now, we know a couple things can happen. Obviously, we could get profit taking, which creates the downside rotation. And then the longs that are in here can come out. That's one piece. The other piece is we can open. And those who missed it can take the long and then that would put the ETH high on the table. So it's one or the other and nobody knows. So our job is not to know because we can't. Our job is to follow structure traits. So let's see what they are. Let's see how it sets up. So this is a developing volume point of control. The way I think about this and it's just sort of a mental state is shopping. So I'm trying to let me get this off of here. This is not relevant to what we do here. So RTH open. Whose side of trade? Okay. And it's like, who's going to take control? We know we have our overnight high above and we know we have the overnight volume point of control below. We can go either side. So we want to see which side becomes dominant. Now I'm going to take in more microstructure. So let's look. This is called, right now, the epoch migration. This is a very subtle early indication of control. And if the volume in the price, theoretically, you know, are moving higher than potentially, if it's logical to, let's think about this, market moves a bit higher. It could be a hair higher. But here we're talking from 86 to 86 and a half. That's only two ticks. But why would the market potentially move higher with the high volume in the price goes higher?  So I'm going to market variable high volume note. So think of this like in a store, they raise the price. And because there's more volume here, which is what this yellow line represents, and less volume here, that maybe there's more acceptance of a higher price. Let's just mentally try to track that. Now let's just watch the behavior. Everybody see the first loan. This is where we're going. First target achieved. I'm just showing you the structured trait. This is a structured trait. This is called the epoch migration. It's in the trader lab. You're all welcome to it. And please understand, these are not mechanical. One of the things that's confusing, I think, is when we're evolving or developing as a retail trader, and I know for me it was like that early on back in the Stone Age, that we're kind of looking for red light, green light. And I have to suggest that that's rather naive to think that we can buy a software toolbox, plug in indicators and time frames, and then actually have a business that's going to be profitable. That's what most retail traders do, and most retail traders do not succeed, obviously. We know that. And you know it too, if you've been in this business more than five minutes. So the thing is, what do retail traders do? Very important to understand. And then what are you doing that's different than what they do? Are you doing the same thing they do? If you're doing what they do, it's probably not realistic to expect a different outcome. Instead, let's understand what they do, why they do it. Let's take the experience and potentially the tuition we've paid for this information, and then understand what does not work. And it's really, our business is gaming. You may, yeah, we're trading, but basically it's a gaming process. So we're in a random environment, and it's not a predictive environment. Most of us think we can predict something. And I mean, that's just our orientation to predict. And that's not the business of trading. Business of trading is a random environment, like the casinos, and playing a game with anchored inputs that has a statistical edge, understanding that the outcome of any hand in the casino, just like how the cards come out of the deck or how the gamblers play, the cards is all random. There's no control for the casino in what happens in their play. So what do we have that's similar to them? If we only play games, if you will, or setups that have an anchored, structured process that has been vetted, then we know that with a vetted, structured scenario, that each individual setup has a specific edge in a specific condition. Our job is to basically play the game whenever that structured trade is, just like Blackjack is a structured game. That's our business. It's not predicting, it's not anything, because we can't know, just like the casinos can't know the outcome of the next hand. And now if the casinos lose, which means the gambler walks out with the cash, are they going to change what they do? Are they going to retune their Blackjack game? Because somebody walked out with a suitcase of cash? No, obviously not. But that's what we do. That's retail trader behavior.  I have to tell you, gaming is not about winning or losing. It's about extracting the statistical edge over a large sample size of random interactions. And for us, it's with the gamblers, if you will, or with the market, depending how you want to look at this. So that's really the business of trading. It's not what we think it is, most of us, at least when we start out, because we think we can predict something. And I'm going to suggest you leave the prediction to the fortune tellers and that you work on understanding edge and deriving it and only interacting in this random environment when you have edge. So this is our first target. So structured trade long, if you're in the trader lab. By the way, if you're in the trader lab, guys, did you guys participate in this trader lab structured long trade? Which right here is the test. So look at the logic. Let's look at logic. And this is why I don't use any indicators. What is my indicator? How about the participant behavior? Not a line crossing or an oscillator or an RSI, what? Well, right here. So too low, too high, too low, too high. And right here I'm going, I don't know. Except I have a statistic up here that's a high probability. And it could have gone down before it went up. These are the things we know. In other words, like the casino, we know we don't know. So we take away this need to be right or to predict what it's going to do. Even though as a human, we need certainty yet we can't have it in the trading environment. All we have that we could depend on is uncertainty. Very counterintuitive. So what does the market tell us? Well, the volume is moving higher. Let's go back to our shopping experience, which is what really trading is, in my opinion, shopping. If the price and prices to components, literally where the price is, but the volume. So this was the supermarket. And you start out and you could buy a can of tuna at a dollar. Because this is where the volume is starting at the RTH open. That's when this all starts. And now we have more volume taking place at a higher price right here. Isn't that saying you can't buy it here anymore at this price? The market comes down and checks the price. Do you want this a dollar? This is a dollar 10. So if this is a dollar and now they check it at a dollar and they're saying, no, you can't buy it here. And now the new retail price is a dollar 10, then this might be, and I'm always going to say might be too low. Notice the behavior. Lift, pull back to here. Is this now retail? And is this still too low? Now it can do anything, right? See the buy. Remember target. So I'm just showing you a sequence of how without indicators, we're reading the language of the market. So if you got long here or here, these are trader lab structure trades, your stop would be under here. This is your scale. Now if you want, you see this liquidity sitting in the book. You could scale here. It's all up to your plan. I know statistically there's a high probability and past performance is not necessarily indicative of future results that this is going to get taken out. All these, and there's high level of statistic here. It's over 90% probability past performance, not indicative future results. This is going to go. So you could target that or this. It's all subject to you vetting a trade plan. So let's watch. So you're hanging out, you're long, and you're having a wonderful time. Fantasies of the yacht. Let's watch. Now liquidity sitting in the book here. Let's watch this. Now there's a difference in liquidity and you could get, there's a lot of information, of course, on order flow when you're using a tool like Bookman. But let's look at this over here. Now all of this takes time. This is resting liquidity. This is resting liquidity. This is material. This is algorithmic, which is noise in many ways, though it can impact on a short-term basis. The algos can influence. There's a lot of variables running around. So the thing is that you have to have a plan. All this is done outside of trading hours. You know what you're going to do before it happens. And the reason you have to know what you're going to do is because we don't know what the market is going to do. That's part of the joy. This is part of being in a random environment. And there's no way around the randomness. So right here, let's look at this. Market comes up. This is absorption. You've got some icebergs going. Coming out, you have 116 buy stops. So right here, we're looking at this. And it's nothing to do except it's in alignment with the overnight high, ETHI, which is a high probability statistic. And you guys, all these statistics are available if you're interested in trying not to spend time with them anymore. And it's all available in the trader lab if you are inclined. So this is material. Let's watch what happens. It's just a level. What you're going to see is behavior. What happened here created volume. There's the volume. There's the mid. There's the VWAP. So let's just watch the behavior. This is called VPOC migration from here. Let's label it. This is processed, by the way. So let's watch it. And when it moves, remember, what is this yellow line? All it is is volume. And the yellow line moves because there's now more volume here than there was here or here. So if we're in the shopping experience, the market's moving higher and the volume is moving with it. That is suggesting this is too low. So I'm going to market. Right? I mean, what do I know? I just followed the yellow brick road. I don't know. By the way, I use the term I don't know and even better clueless because if I close my mind to what's happening and get passive and don't think of the possibilities always, I might miss an opportunity to either manage my position or add or, you know, whatever my plan is. So now let's go take a look. So we pull back here and we have a structure trade in the trader lip. So let's label this. There's another one coming up another structure trade. So this is liquidity. Let me just put it in here. I label these things because I don't know. So right here, we took this selling out. We absorbed it. You can see it there. And now we come up to the next level. We got our stat here and we're going to the next layer of liquidity. So let's let's watch this shifts up. Now this sets up. Here's what can happen right here. Right here, we have a couple possibilities. We have another structure trade that's in alignment with this. It's called VWAP or mid to V pox. So it'd be out here back to here. That's a structure trade. We also can just manage this trade. So let's see what it does. So those are the possibilities and we're going for this is the next obstacle. So let's watch it. V pox migrates down. So right here, let me open this up. I'll show you. Now we don't know. I look at this and I'm going, and this is what just like a deer in the headlights. So right here is volume and I don't know. Pull down here, VWAP, pull back to this volume. Nothing to do here by the way. Right here we get V pox migration.  Instead it pushes down. So right there, if there is an issue, it has to hold above mid and VWAP. So this looks like this might counter rotate right here. Right here. So let's watch. V pox migration. This now is resistance. This is resistance. So too high. Right here. Too high. If when we come out this way, this now becomes support and you don't know. So let's label it. Variable high volume note. So this is my outside edge and there's no way to know this stuff. If you think there is, there is not because this could have been a reversal here. I mean, there's just no way to know. But what I know is at the moment, I'm over the ETH high. I'm seeing the market move higher. I've seen the market pull out to the VWAP in mid. Right here. This was tenuous at best. When we clear this and this, I'm back on, this is another long. This can be an add. And if you got long here or you got long here, you would take a stop on this position. That's just the way it is. So now let's watch. This was absorbed. So we want to see this location and we want to see what happens if we come outside. Now, here's what's happening here. Market's going up. You notice we have a rotation. We come up and now we have a rotation. The condition of the market has changed. It's gone from directional to rotational. And there's no way to know right here whether we're just going to continue up or if we're going to start doing something called mean reversion. Now it's a different plan inside a plan. So let's watch. This was an outside edge and this is what's going on. So the long is in this leg now. This is the pullback. Fine. This is resistance. This is a potential long right here. Right here it looks like we're going to continue higher. When you break below and you pull back here. So this is support. Support is right here. You see the behavior? It has to clear this. When it does not clear this and it comes under here, it's either get out a dodge or potential short subject to your plant. For me, there's no short. I just sort of hang out. And it's just a matter of choice and time points because I still have targets up above. So I'm still thinking possibility to go up. Now here's the other piece. Where was it too low here? So I know in the ETH this was retail. So if I'm slicing this apart, I'm thinking too low, too low, going higher, uh oh, not going higher. Pull outside. Take the stops out. Now right here, this is a condition called mean reversion. This is complex in the sense that we don't know we never know that the condition of the market is going to change until it does. That part, no privilege to know, can't predict anything. But we know the behavior. So when this right here, right there, this is like the, uh, right there. Gotta hold that. Oh, is that too low? Then we come back and check this price. Is this price too high? If we clear it, off we go again. If we don't clear it and we break this, then the potential is to go down. Where to? This is always the wonderful question. Here's where. Somewhere, this is the joy out here. And what do we have out here? Well, this was material. So I don't have personally a trade here. Okay. I just know, well, somewhere out here or not, or we can come all the way down. So I have nothing here. So this comes out. If I initiated over here, I would take a stop. If I was long from down here, I'm going for targets up here. So that's all I know. So right here, this is a potential long. I have nothing to do. I mean, I don't have a setup in the trade web. So let's watch. Let's look, what do we get here? We come back to the volume point of control. This right here is resistance. Break above. Look at the test. Pull back. Support resistance. What is it going to do? Is this too high? It shifts down. Notice the behavior. Now this is retail. So I have this. I have that too high. I have this. I break above it. Now this is support. Pull back and check it. Pull back and check it. This is a trader lab long joy. Notice the joy. And where do I come? I take this liquidity. And this was sitting in the book. So just watch. So I take this. So my long is here. This liquidity is sitting here. So if you see it, you would take a scale. If you're in the trader lab, basically, this is where this thing fails under here. Under here. There.  Where does it come? Let's look there. There. In the trader lab, your stop would be under here. This is a potential add if it's in your trade plan, because we're checking this retail prices. That's too low. Yeah, it's too low. We'll see you later. Where was it too high? Here. If you got long here, you'd scale ahead of this liquidity right there ahead of this high volume right there. This is fractals.  You see this up here. The chop is really an auction. It's a consolidation inside of consolidations in every fractal or timeframe. Hold on. YouTube is frozen. Okay. Great. Thanks. This is microstructure. So this is chop, chop, too high, too low, too high, too low. And inside of this is volume. And you could see it right there. It's the same thing as this yellow line, but the yellow line represents all the volume for the day. So this high volume is a retail price. Now let's go a hair lower timeframe. This is the previous retail price. It was too low. And you see the yellow line moved up, saying there's more volume at this price than there was down here. I look at this as pricing. So if this is too low and you can't buy S&Ps here at the moment, if we come back to that price and you can't buy them there, the market's going to leave. Now where was it too high? Well, in the fractal, this was too high. So if I get long here or I'm managing my trade under here, then I got a scale ahead of there. Does that make sense? So I'm trading high volume to high volume in fractals. So all I'm really doing here is trading high volume to high volume because of what high volume is. The relationship is going to distort and wherever buyers and sellers agree on a price, that's high volume. It's called retail. So in all fractals or as you guys think, timeframes, this process is taking place to try to figure out what's too high and what's too low. So in a developing daily timeframe, this was too low. And in the fractal or the more micro structure, this was too high. That creates that down leg. So it's shorter timeframe back to higher timeframe. Hope it doesn't make you crazy, but that was too low. If you were to imagine the same process here, and this was the whole day, fantasy land, in the middle of this is high volume. When we go to higher timeframe, the developing daily timeframe, the yellow line is the same thing, high volume. And this yellow line down here was the previous retail price. So this is too low. This is currently retail. And in the micro structure, this is too high. So back to here, back to there. Does that make sense? Can you see the symmetry and the behavior as far as how it potentially works? Now, nothing is mechanical, guys. But here's the thing. If the trend is up, I think I want to be trading the long side until it breaks. And I can't, well, I can't, maybe you guys can't, but I don't know. You know, I don't have any idea. Here's what I do know. ETH, this was the retail price. So let's think of this in pieces. If this was retail in the ETH, and there's the overnight mid, and I know I have a high probability of getting back here, maybe, but I don't know where I'm going. I mean, am I going to do the Alcapocco cliff dive, and all these long skits shaking out? Or am I going to go to my targets up here? You remember at the top of the stream, 07 and 1213-ish. These are my upside targets. Now remember, when it comes to targets, it's best you have is maybe. So maybe, and you could write those down, and I have no clue. It's not my job to predict anything. But my job is to really understand the purpose of the market is to figure out what's this thing worth. So too high, too low. Back here, let's watch. No clue. Remember, long to here. Why? It was too high. There's my high volume. So I look at this like long to here for a scale, and then I have my targets up above, and it's just, you know, whatever, whatever. Part of the joy. Now what? Break. So now, we know this is too high. Always good to know. And when do we know this? Only in hindsight. Stop sweep. Okay. And down we go. So if you're holding along, you'd be taken out of the trade under here. So if you've got long in here, or you've got long here, you'd be as neutral. We saw our seller here. There's our seller, you notice the change in behavior. If we're holding along, or we add here, this is our obstacle. You can see why if you understand auction, how the market works, you know, remember how the market works, we can understand what it's going to do. Not up to us. So this is where it fails, right here. Notice where we come.  For me, I know if I come under here, I mean, I can test a little bit, but if I come under here, then that is too high. Now this is too high. This is too high. And we do the Acapulco cliff dive. So that's that, you know, that trade is over. So now let's see what goes on now. This was too low. I have, for me, I have nothing out here to do in the trader lab. So let's watch. This has changed its behavior. This is now, remember, mean reversion. So now we're in a rotational trade. And there's no way to know what's going to happen. That part is still working on. And this is what you've got outside, back to here. This is called mean reversion. And it's mean. So I don't have anything here, you know, because I now have targets on both sides of this thing. I have my, I have this down here. And I have yesterday's high, wherever that is, I don't know where it is, down here, right, fill the gap. So I know that. So I have that. I have the overnight volume point of control. I have that as a possible target. And I have these other targets above. So I'm in the middle of this thing. So let's watch and see what it does. Now, the thing to understand, and I really, you know, if you're in the business of gee every wiggle, that's not the business of trading. The business of trading is just waiting for your wiggle, you know, your structured trade that you vetted, because you got to think like a casino in the sense of where's your trade? And do you have an edge? I mean, the fact the market is rotating like this, if you don't have a structured trade that has statistical edge, you don't have a trade.  So let's watch. So I have nothing here. Others may, I don't. It's not in the trader lab. So notice where we, where we come. Let's go back here, by the way. High volume was here. Come back in here. Let me show you. It's easier if I show you. Notice how the seller came in here. This was too high. The buyers are activated here. That was our last long. We come back. We check this volume. We reject it. That's saying too high. I mark it because now this comes back in again. Notice where it comes back in. I call it an obstacle and I have no clue. I know that if I get long anywhere, this is now potentially too high. Notice the behavior in the book. Now no clue. All right. Not my job. Not my job to predict anything. This now becomes a target. Remember, this was retail and the ETH. And there's a high probability of getting here. The statistics are available to all of you in the book map discard trader lab. So in the overnight mid. So this is our outside target. And then there's further targets. Also, there's another thing that we have in the trader lab. It's called the IB, the initial balance. The at 930 central time, and it's actually right. Let me just find it here for you guys. We have a structured trade. I'm going to show it to you here at 930. The first hours low is called the initial balance. And it's located there. What we have is two possibilities. If we think the trend is up and we come down and there's no, you know, this is our target coming down. Remember, retail. So we're checking retail and all time frames, fractals and time frames. This was too low. So we found what was too high. The market and all time frames and fractals come back here. So where do we come? This is created by high volume in the ETH. So if you were short, which no short for me, this would be your target. When you test this and you see the sweep, now the market is short. This is what right here is Delta is showing you the selling leg. That's what this is Delta. And this is market pulse is showing you potentially oversold. And it's not a buy indicator or anything. For me, it is an, well, it's showing me oversold condition and it's showing me that we have sellers in this leg. So when the market gets short, and that's what CVD shows you, if we hit an extreme, these guys become buyers. So let's look at the potential long here. Now there's another thing here, too. We have a trade in the trader lab called the IBF or IB failure. The IB failure is a potential long mean reversion trade. So I'm going to show it to you. So if you were short, this is your target or a target, you know, you could scale, you can flatten out at subject to whatever your plan is. When you check this, if it's too low, then the possibility is to come back and here now sets up the IB failure. It's called the IBF. It's a mean reversion trade. So the way this works is this was a return to check high volume. It's mean reversion in a different time frame. If we get the same type of trade, we can come back and check mid VWOP and this mean reversion. Same thing, different fractal. Let's just see. So right here, market comes down. I see absorption right here. 257 cells stops come out. This is showing absorption. That's all happening right here. Stop sweep absorption. So right here is a potential, let me show you the trade. So right here, now if you were short, this is an exit. It's not a long yet. So here's your micro high volume structure. It's a suspect right here. I'm seeing the buyer. I have a location. Let's just put the pieces together. Outside edge, seller, more sweep, iceberg buying. Let's just watch it. Pull back here. Here's volume. Remember, IB is this yellow here. This is called the IBC, IB continuation. I'm sorry, IBF, IB failure. It's Monday. Things are slow in the brain. So this is a long and you're going for the stops at the mid, the VWOP and potential return to the mean. So let's just see how it plays out. So you take along here. You're trying to get back here, here and above. And you would take a stop on this trade. That's the way it is, guys. So now this is too high. This is too high. So this sets up, this is a change in context. So what you have now is we came back up here, long failure. Once it fails and you come back from below, it sets up a short here. This is now the IB continuation trade. Same trade, but from the other side. So when you pull back here, this is a potential short. Context has changed and we're looking now to take these longs out. So let's just watch. So we come back. We check this. We're below the open. We failed the IBF. We didn't get to take the stops out at the mid and the VWOP. There's your sellers. Here's your retracement. So this is the IB continuation. Come up, short, break, back to here. This is your entry or if, depending on your skill set, your entry is in here. Most likely you'd be getting short against here. Stop needs to go here and then you're looking for continuation lower. Let's go look. Yesterday's high. Here, fill the gap. So that's what you're looking for. So this is a short. Let's assume you're in here and you're looking to fill the gap trader lab.  We know there's stops here. We have our mid. We have our VWOP. Come back to the mid. Come back to the volume. So right here, you're looking for it to squeeze. And here's the other piece. We come back to this outside edge. This is a low volume node. Let me show you the profile so you can get a sense of what happened here. This is the high volume. And we were rotating around this, right? We're trying to trade outside in. Well, we fell out of all of this. Now we're kind of trading the other side of this. So if we come back out here and we can't get above the VWOP and the mid, then the potential is to rotate back down. And we don't know. And depending on where we go, if we get in the yesterday's range, we'll come back here. So that's what we know. What will it do? So potential right here, too high, selling structure, rotation down. What's over here? Watch. Buying structure. So you get your buyers on this side. You have your stops here, potential short to here. You still have the potential to come here. And just for the joy of it all, you have the potential to come here. So it's two-sided trade now. And I would say, unless you have a specific plan for this, that if you're just clicking and all, you can really get, you can have a hard time in this. I find that for me, I just like to trade the bigger rotations. This is a viable, against this volume is a viable short mid, but we also know there's stops at the mid and the VWOP. So, and if we clear this, we can go here. So this is very much kind of subway purse snatching is a way to think of it. If you're compelled to try to trade this, you may find you over trade and you don't really have an edge in it. So the way I find to do this is just one piece at a time, understand market mechanics and understand the condition of the market. You know, we're in a rotation. That's one piece we know. We know the trend is up. We know that we fill the gap pretty much. And we know if we come under here, we can come here. We also know if we can't get down here, we can continue on to the north side. This right now is the high volume. If we stay under here, just so you know, and we put in more volume here, and this shifts down, it means that this is too expensive. And now we're accepting this. So you have to watch the behavior of this high volume up in here. So as this fills in, let me just see, you've got about 16,000. Let me open this up. There's a lot of volume sitting up above us. You see it here. 16,000 versus about 11,000 here. So there's a lot more retail, if you will, up here. So unless we stay here and more volume happens here, we still have the potential to come back here. So we'll see. Right here, there's nothing to do unless you want to trade these kinds of rotations. And that's really up to your trade plan. What you have to decide is, do you have an edge here? Is this a game that you should play? For example, if you're in a casino business, should you be in this? Or should you not? Should you be trying to operate in this range? You know, yeah, maybe, maybe not. You know, and I can't answer that for you.  It's like, what am I putting a risk on for? You know, do I want to scalp? No, I don't need to be busy. You know, so that's me. But that doesn't matter. The thing about the trader lab is, it's not what any one individual does, whether it's me or anybody else. It's about you understanding market mechanics, how it works, and how you might get in alignment with it. And just like the casinos, only playing games to have a statistical edge, you know, it's all random. So, you know, there's no way to know what it's going to do right here. But what do we know? We know, pretty much filled the gap, right? Well, the gap is filled. I mean, we missed it by a hair. This is like horseshoes and hand grenades. If we didn't get the yesterday's high by a thick or two, and we saw absorption here and the buyers, there they are, came for it, do you want to be short or do you want to be long? Me, I prefer to long side because the trend is up, if you haven't noticed. So, outside, and where's the shorts in this leg? Where are they? Where are they? Where are the midsellers? Buy stops are here. Buy stops are VWOP. We cleared this and this, then I'm going back to VPAR. Or not, you know. And that's all there is to this. This is not more complicated. And the reason it's not more complicated is we have no control over the outcome and it's absolutely random. So, then it's a matter of what is the condition of the market, what is it done? If this is too low, then the potential is to come back and check is this still too high. That's the potential. So, that's what we're going to watch. Okay. In the meantime, do you have questions? No silver bullet. This is market pulse, by the way. I'm just going to show you this. And I don't use this in my trading per se. It is something that might have some value if you study it and understand you derive an edge with it. It's a piece. Indicators in a vacuum don't work, in my opinion. You've got to understand the condition of the market to know where this might apply. Not, well, I'll look. It's oversold. So, let's get long. Where? Should we get long there? Do we get long there? How about there? That's pretty good. Do we get long here? Do we get long there? Do we get long there? See it? Do you get long there? That's the fallacy of indicators. So, what I do is I look at the condition and behavior of the market. That's called the context. And the context transitions from directional to rotational. You need to understand the difference. If it does change, you have a specific plan for it. Now, we don't know what changes, of course, until hindsight. So, you'll be long and then the market's going to change condition. That's what protective stops are about. And that's what trade and risk management is about. Once we come outside and remember targets, we had one here coming down, which was what this was all about. Once you broke below it and checked it, then it's filled the gap. Next target. If it's too low and you see your buyer, now we know we have buy stops above the mid. If you pull outside, then you have outside edge. This becomes something called mean reversion. And it's hard in the sense that we don't know where the outside edge is. But here's how you can tell. I mean, you can't tell until after it happens. This is the joy. So, sellers in this leg, still going down, low or low right here, no way to know, right? And what we're doing is we are testing this here, this volume right in here. We're testing this. Now, you don't know. And when you're seeing this, you think it's the end of the planet. But now I see my buyer. There's the change in behavior. Now let's go look at this structure. Right there above the arrow is high volume. So this is where the volume is right here. I break high above the volume. So this is my retail right here. I break high. I pull back and check it there. So this is my retail in this consolidation. Now I also have this. I'm on an outside edge. I check the mid. So I know about that and I know retail traders. Remember, think like a retail trader. Don't act like one. Keep their stops here. So if I take along, I'm going for this. And then I'm going back to the mean. So let's just see what it's doing. And it's not a trade recommendation because, you know, it could do anything, right? So what I'm looking for is these guys to get squeezed.  And it creates the counter rotation. And this fails, which of course can always happen. So I want to be long scale ahead of the mid and then hold for the squeeze of mid by stops VWOP. And here, this is the target on this trade, not a recommendation. And, you know, all trades fail, right? Are you guys tracking? Does that make sense? Is it logical? Now, randomness, write that down. It's all random. Don't worry about what's going to happen. Nobody knows. Does that make sense? Isn't it interesting that all of us want to know something for certain? And that's really about risk aversion. I think if the casinos operated that way, they would never deal the cards. So what they have done, and that's really our business model, is to only play games where they have a statistical edge in a completely random environment. They don't make up games. They don't change the games. You know, they just anchor them. And I cover this in my primer webinar. It's got over 27,000 views. It's you can access that in the Bookmap Discard Trade Lab chat, as well as 60 PDFs of structured trades that you can reverse engineer in a library of webinars on this process. You know, trading is just what it is.  It's all random. You know, you get an economic report or something. It goes into the mix, and it gets processed by the participants, and they vote on the price. So if you get here, you'd have to scale before this, and then you're hanging out. And if it fails, remember, if we come out under this, we can go here. This was the highest volume on Friday. Think of it as a retail price. So we're just sort of waiting to see which way this is going to go. There's nothing more to do. So long risk neutral, stop under here, take this out, trades over, that's all there is to it. And then you're looking at this. If this holds, then we're looking back here, back here, and then maybe higher. That's all it is. Nothing more complicated than that. And there's no prediction, because I have no idea. I can't have an idea because it's always a guess. Just like the casinos, they don't know. I'm getting a question from the Trader Lab is the ETH VPAC, no longer material. It is material. The ETH volume point of control was the highest volume price wherever. Oh, this one up here. I'm sorry. Is it no longer material? No, this is no longer material. Sorry. This is no, this doesn't exist anymore. It was material first time when we tested it. Once we came under it, we had to test down to this yesterday's high, which we could still come down. And if we can't come down here, so this is gone. What is material is this highest volume from Friday. So think retail. We are above it. And as long as we stay above it, then we're looking at VWOP, mid, mid VWOP, I should say, and back to this. So it's long zone Lee. And here's your test, right? Volume was here. There's your buyer. This volume is too low. Come back and check it. There's your buyer. This volume is too low. This is where the stops are. We are looking for it to come here. Take these guys out. So at these swings is the buy stops. So we tried to trade into those. Now we don't know who's right, but we'll see what it does. So basically you're sitting. Whoa. Sorry. Somebody has allowed something rather going by. So too low. Too low. There's your test. Let's look at the other side. Too high. Too high. There's your seller. Two sided trade. Here's your test of this volume. Here's your test of that volume. Two sided trade. Okay. There's stops under here. There's stops above here. So now it's about which side, right? Well, to me, until it breaks, it's long. If it breaks, then that's okay. You know, it just is what it is. So I'm looking for it to revert back to here, but it has to clear that outside edge of this to get to the next level. That's it. Nothing more complicated about this other than maybe and it's random, but we'll see how the auction plays out. This is what auction market theory is. What's it worth? Now, here's another little piece. Market pulse. York's in the leg starting here, sellers. Market pulse is showing you long. This is still as showing us the delta is short. So we still have more sellers. Let me open this up a little bit. Sellers in this leg starting here, you have your market pulse showing you an extreme over here. That's if you're an indicator person, I'm not. But let's watch it. Excess in here. Let's look at it from the other side. We are not overbought. So we still have shorts in all of this. So subject to, this is still suggesting long side according to market pulse. Again, it's not for me. I don't trade with it, but it's something I'd like to share with you guys. You can kind of see the interaction. So this is the down leg that we're trading. The delta is showing that the aggressors are on the south side. Okay. And at some point, if we can't continue down, the sellers in this leg become the buyers. So the market pulse is showing us the excess, the excess. And now we'll see if we, and remember what we're going for, this that not recommendations back to here. So time is not an issue. I should say an element in this. It's just structure and participant behavior. So we'll see what it does. Any questions now in YouTube or from the Trader Lab? Market pulse. I'm getting a question what market pulse is. Go to the knowledge base, Patrick. There's a bunch of algos in there and you should familiarize yourself with it. Too much for me to explain here. Well, I'm getting a question, am I okay taking longs below the IB low? Well, yeah, I am actually. And which doesn't mean the market's going to, you know, not fail here and go down to here. See, here's the possibilities. This is a possibility. That's a possibility. And this is a possibility. But what did I do? Let's go and look at what we've done. Yeah, the IB is here. Now in the Trader Lab, we have a couple of structure traits. We have potential short here. Here's a potential short back here is a potential short. Okay. I also have this down here, the gap. So as long as I'm above this, I'm not don't have much problem going for this. If I can't get back above here and especially out here, then this is on the parade. And I can't tell you which one. So this is too low. This is my test. This is where the stops are. If I get long here, I've got it. I'm coming back to this. I have options. I can take a short here and short it there. And I'm betting I'm going to take out this and go down to the V-punk below this. So if I clear this, then I've got this, this and that. That's what I've got. I don't know which way it's going to go. If the volume, I'm getting a question. If the volume, in other words, most of the volume is up here. I have to clear this to get to this. If I can't clear this, then I can fall out the bottom. So I have a couple choices. I can be selling this, if that's what I think is appropriate, or I can be looking to be a buyer out here. Right now, the sellers are in control. So we'll see. You could trade it from either side. That's up to you. The key to the whole thing is getting risk neutral. You have to say, well, are we going up or are we going down? Nice question. I don't have a crystal ball on that. I know that the trend is up. And I know that we've taken the longs out, the weak longs. I know if, and we just about filled the gap. So I know that. I know right now, I've got, look at the dels, the market is short. If I don't find new sellers down under here, that now we've got buy stops sitting above these swings. So it leads me to think that we're going to come back here. And, but if it doesn't clear this, then yeah. And you know, then we can come back under here. That's what I know. I can't tell you what it's going to do because I never have any clue. Are you guys following? This is what's called auction market theory using the volume profile and using book map to integrate. And we're in a chomp. So what do we know about this? Let's look at this. Two sided trade, right? And it looks like the sellers are more aggressive. Okay. But here's, and maybe, you know, maybe we're done with this for now. And we're going to come out, take out, finish filling the gap and getting here. So if the short works, I'm going for that. If we're done and we got these sellers trapped, then I'm looking for, and this is all I know. So you pick a side and I'm looking, and I think the trend is up. What do I know? Trend might be up. I don't think anybody's going to say at the moment the trend's down. So if I'm thinking of this in a multiple timeframe structure and I have the sellers in here and I've basically come back to yesterday's high, there's the low of the day and here's yesterday's high, I would say, and here's the liquidity in the order book and the absorption and the stop sweep, all of this, a thousand sell stops coming out right here. Let me just look a little further. Let me just scooch this up a hair for you. 1500 buy icebergs. Notice liquidity in the book. That's the icebergs going off a thousand sell stops. Notice how retail sellers buy icebergs, taking the other side, liquidity. There's your buyer. Here's retail sellers. Sell the mid. This is retail trader mentality. Doesn't mean it's the gamblers. Maybe they're right. Maybe they're wrong. First, could you remove that please? I've asked that we don't have that kind of stuff in here during the stream. Thanks. Appreciate it. I know you forgot. Selliers and this is a chop. So right here's your consolidation. This is too high. This is the sellers. So this is where we got it clear. Too high seller. Come back and test seller. The sellers are in control. The delta is showing us the market is short. This is very important level right here, the initial balance. This is the outside edge low volume node. Buy stops are here and here. So this is all I can tell you. For me, I want to be long and it's not a trade recommendation. I can get, you know, I have enough tire tracks that I can prove it that anything can happen. That's just the way of the lay of the land. That's how the market, you know, trading works in the trader lab. Here's the thing that's a little, you know, that is not clear because it never is. Do you want to be short or do you want to be long? What guides you on that? Is it this timeframe here that we're just selling this to go back? See, this is where it is conflicted. It totally is conflicted. Are we going here or are we going to take these guys out? The buy stops here and at least come back here. So that's the big question. To get there, you've got to clear this. So we just have to watch and see which way it breaks from here. So you pick a side and you ask yourself the question. Are we coming back here to check it because it's the high volume from Friday? Or did we get low enough, missfilling the gap by a couple ticks? Does that show aggressive buying which is represented by this? And that will take us into these stops. That's the question. I don't have the answer. It's just one trade. So now in trader lab, you could be on either side of this or if you're conflicted, you don't take a trade. So all I know is to that or that. If I get back here and take this out, then I'm looking at the high of the day and I'm looking at the targets up above up here. If I can't get back above this and I fall out of this, I'm looking for that. That's what I know. And that's not going to change until the participants vote. Market is short. There's my Delta. So I just got to see. The thing about trading, it's not clear. Even when it's clear, it's random. So there is no such thing. Structurally, if we were trading with blinders on and not thinking about the higher time frame, this is a short and a trader lab. So it's really up to you. For me, you could play it from either side. The whole key to this is getting risk neutral. So if you're placing a bet, which is what this is, this is where it was too high. If I don't come under here and here, then back here. If I can't get above this volume, which we tested here, then potentially fall out the bottom and go there. That's what I know. Yes, sorry. So I think I just went over the read. Yeah, you're really right in the middle of no man's land here. One of these sides right here, you have this is your top, this is your bottom, and it's going to come out and resolve. In the trader lab, structurally, it is appearing to be a short for the IB continuation setup, which is this, this, back to here, this. But for me, it's very conflicted because of this, because I already got down here. I tested yesterday's high. That's my gap. And I have my retail up here with a lot of volume. Market has a tendency to come back and check. And I know the shorts are in here. So I prefer the long, but I could tell you it could do either. You pick a side because it's conflicted really. It's a matter of, it's a function of time frame. And as a day trader, I'm thinking this. But I also know if I can't get back outside of here, then, you know, if I spend enough time here, and the volume is starting to build here, I got 13,000 versus 16,000. So there's 3000 contracts difference. If I can't get away from here, and the volume now starts increasing over here, that says this is too high. At the moment, this is my outside edge. Guys, this is a consolidation. That's what you're seeing here. This whole thing, this box is a consolidation of energy. And in the middle, this high volume is retail. So we're sloshing. Like, I'm not paying that. Yeah, but it's on sale. And retail's where the volume is in the middle. If the participants decide, and that's up to them, that this might be too low, they will go back potentially and check this. Is this really too high? That's the thing. And is this really too low? See, so for me, if I want to be aligned with the higher time frame, I'm on the long side. And it's a hard trade because I know we fell out of, let me just show you. So nothing's easy about this, you know. Let me tell you the part that's not easy. It's actually simple. What's not easy is operating in a random environment. So outside edge. Now here's what this is. This is a consolidation. And you can see this is volume. So this is just showing us outside edge. And let me just hold, you know what's going on elsewhere. So let me see if I can, this volume here to here. So this to this box is all the volume in here. When we fell out of it, we started another consolidation from here, basically. And you see how it fell out. Now we start this rotation down here. This creates a new distribution of volume. And we're rotating here. This is the outside edge of the current volume area, and there's stops up in here. So I know if I come back up here, stops are going to be at mid and VWOP. And then I'm either going to pop those guys and rotate down or pop them and come back here. That's what I know. Or none of the above. So let's go back here and see what it's going to do. You see how it's just rotating. So we're just in a rotational trade now. So the thing you do is either you're hanging, you pick a side, get risk neutral, and just take the random outcome of the distribution. That is the real world of this. And we always go back to gaming theory. And you have to kind of think in multiple dimensions and multiple timeframes. Again, for me, it's what's the trend up in the higher timeframe. Where was the gap here yesterday's high? What's retail currently here? Where's my buy stops? Here, here. And if I come out of there, then back to here. If I come out above here, then the possibility is to go back to the targets from this morning. None of that has changed. We just don't know if we're done. No way to know. And that's this is our upside target and this. So if we take out the high of the day, potentially up here. If this yellow line shifts down to here, it might be saying this is too high. That becomes resistance. It's still resistance. But we have to clear this to get there. That's what I know. That's all I know. I'll never know anything until I have the benefit of hindsight as far as which way. And it's always not clear. Because that's trading. It's never clear. In the casinos, when they deal the cards, remember, they don't know what's coming out of the deck. They don't know what the gamblers are going to do. They're in a completely random environment just like we are. That's our business model gaming. They only play games that have an anchored statistical edge. The big problem we have as retail traders is not understanding gaming theory and what creates the games. The games are only played with anchored inputs, not random inputs. And most of us early on in our trading career until we figure it out is we are playing the gamblers game, random inputs in a random environment. And the gamblers win even though statistically they don't have an edge. They still win. And most of us are trying to increase our edge thinking it's a tuning or more time frames or more indicators or whatever.  That is kind of the, I think the issue for most retail traders is they think it's just getting closer to it by squeezing risk out and creating certainty. That is a psychological and an emotional need. It has nothing to do with the business side of trading or how casinos operate either. They can't squeeze the risk out because they don't know the outcome of the next hand like we don't know the outcome of the next trade. What they do is only trade or play structured games that have a statistical edge and they accept the random outcome each time they interact with the gamblers because they have no control over the cards, they have no control over the gamblers. If we're in the same business, so instead of trying to fix something, that might be a defective process.  More indicators, more certainty. Our emotional need is to not be wrong, is to not feel the pain in our nature is to want to predict. Those are all fine out in the world.  They're not in the trading world, which is the gaming world. Casinos can't predict what's going to happen either. Yet they do pretty good, right? They pay the gamblers, they give you the cocktail, they coupon to the buffet and maybe tickets to a Dell and the rest of it, right? And they still build bigger casinos. They just play their games. And my primer webinar that is posted in the trader lab, and you're all welcome to visit the trader lab by the way, 60 PDFs of structured trades you can look at and reverse engineer plus a library of webinars. But the primer webinar gives you a high level overview of this, this concept of how does the market work? Why does it do what it does? Plus understanding the business of trading, the anchoring of inputs so you can actually have a statistical edge. This behavior in here is on rent. It's either going to break down to here initially or hang out in here, build energy. And if the current shorts, which is what you're seeing in the Delta, if they can't go anywhere, they're all going to cover and get squeezed. So that puts this. So that's our trade. Our current trade, and these aren't recommendations, if we fall out here or squeeze to here, come out the high and you can write these down. They're not recommendations, they're just ideas. Our target's here and here if we take the high out. Otherwise, if we fall inside, yesterday's range them to here and anything can happen. I hope you got something out of this. And by the way, if you're in YouTube, there's a link in the bottom of YouTube. If you're interested, there's those 60 PDFs of structured trades, you know, circles, arrows, so you can reverse engineer. In the Trader Lab, you're welcome to the Bookmap Discord Trader Lab chat. It's a community of like-minded traders looking to leverage their collective experience. We've all done what you've done. You know, some of us have done it longer than others.  And I always say it's not a badge of honor. It's a badge of pain. You know, kind of trying to fix a defective process. And I call that Trader Groundhog Day. You may be putting the time and the energy in, but your process might be defective. And you won't know that really until you kind of step back a little bit and understand the business you're in, which is gaming. So it's not predicting. Even though we want to know, that's our nature as humans, but that's not the business of gaming. So it's really kind of divergent that way, isn't it? So remember, we fall out overnight volume point of control. So it looks like we may fall out. Any final questions before we go? Please give a thumb up in YouTube. The link in the bottom of the YouTube channel will take you to the Trader Lab. There's a lot of free additional education order flow, of course, stocks options, crypto, swing trading, market maker behavior, algorithmic behavior, of course, how to use a high tier tool like BookMap, how to integrate it into your trading. I call it the tip of the spear. And there's a lot more to this that you can do. My goal here in the stream is to help you understand that you can reverse engineer structured trades. And then if you can define the condition of the market, which you notice it's rotational here, if you can define it, you can align structured trades and get into alignment with them. So we have two trades here. One is called the IB continuation, which is a short. The other one is the potential here to squeeze out the shorts and give back over the mid to be back here. Those are the two trades. Whichever one works, works. Hope you guys are with me. Hope you got something out of this. Appreciate you visiting the Trader Lab. Please give a thumb up in YouTube on the way out. Also remember, these streams are available exclusively to BookMap Discord Trader Lab participants for reverse, you know, review, reverse engineering, screenshots, circle arrow. The business of trading is really one of getting, this is a language of the market. I don't use indicators. I'm really reading the behavior of the participants. And that's my real time quote indication. So we have either, you know, the long of the short, the shorts out from here down. And the long would be squeezing up and back here. So it looks like the sellers are going to win out in this leg. We'll see. Thanks again for visiting the Trader Lab, guys. Appreciate you stopping by. As always, thumb up. And if you're interested in the Discord Trader Lab chat, which is a online community of serious traders looking to leverage their collective experience, click the link at the bottom of YouTube. Come on over, say hi. You don't have to be a BookMap subscriber and BookMap will never solicit you now or ever. Thanks again, guys. Appreciate you visiting the Trader Lab.


And I would like to introduce this session on inclusive energy transitions. This is a new initiative that's coming out, it's like all of the new initiatives that are being proposed across SEI right now as part of our next round of strategic work. These are ideas that come up from the bottom from activities that several people are carrying out. Different researchers identify converging strands of work and see possibilities for creating a more coherent program that would focus on a particular issue of interest. I would say the person who's promoting this most strongly in SEI right now is Oliver Johnson. He's going to give the first presentation. And he points out that the discourses on low carbon development and inclusive growth are strangely disconnected. He's going to discuss dimensions of inclusiveness and illustrate with an example of solar PV from Kenya. After that, I'm sorry, Oliver is in their Africa Center. That presentation will be followed by one from Taya Noman of our talent center who is going to push the boundaries perhaps of thinking about what is included in inclusive energy transitions because Estonia is a relatively equitable country with a history of socially inclusive processes. But the question she addresses is conflicts between environmental policy on the one hand and energy policy on the other, renewable energy policy. In the particular case of marine ecosystems and wind parks, offshore wind parks. Matthew Fielding is then going to take us back. In fact, three of the presentations are based in Africa and then we've just got one from Europe. So the Matthew Fielding will be presenting on, sorry, I can't read my own handwriting, about a project in Sierra Leone looking at sugarcane production, a sugarcane production strategy. There's a plan to develop sugarcane. This could produce, contribute to electricity production in the country to a really surprisingly large degree. I was very surprised at the numbers he was showing. But the question is whether it's going to be socially beneficial or not and he and his colleagues are doing a survey to investigate just that. Matthew Fielding is here in Stockholm, but he's with SEI and SIANI, the Swedish International Agricultural Network Initiative. And I believe, are you going to present on SIANI separately? Okay, so you'll hear about SIANI tomorrow. Francis Johnson in Stockholm will then tell us about energy transitions. I'm sorry, this is not in Africa. In Indonesia, he and his colleague, Samira Severa from KTH, a study in Indonesia where there has been rapid growth that has switched Indonesia from an energy exporter, an oil exporter to an oil importer. They're looking at alternative energy sources and he argues for the possibility of some very positive outcomes looking at second-generation biofuel production. And finally, Caroline Ochien, who is here in Stockholm, will share her work on three SADIC countries, South African Development Community Countries. And she will describe a study looking at the poverty impacts of biofuel projects, a combination of cross-sectional and longitudinal data collection that is still underway. Is that right? Or, okay, so the project is still underway. So, without further ado, may I invite Oliver Johnson, who's looking very, I don't know, Oliver Johnson, sorry, Oliver Johnson, I was looking at Matthew, to come and share. Thank you very much. I started about maybe six months to a year ago chatting with a few colleagues and old friends about the idea of inclusive energy transitions. And so we started thinking about how we might explore this topic. And so I'd like to present just a little bit of the sort of exploratory work that we have done. I like to call it exploratory, it kind of means we don't know what we're doing, but we'd like to get somewhere with it. And it's great having come to SEI in late August that this is also an issue area where there seem to be a lot of other people who are interested in discussing it. And so this particular presentation is based on collaborative work with a colleague, George Etta Wittekin at the German Development Institute, where I used to work, and Rob Byrne and Dave Ockwell at the University of Sussex, where I did my PhD. So it's not all my work, it's a kind of collaborative effort. And I'll use the case of solar PV in Kenya to kind of explore what do we mean by being inclusive? Because I think when we started thinking about this issue, I think you have to start as well by looking at some of the concept of inclusiveness. So how do we make energy transitions, which there has been a lot of work on related to developing clean energy systems, how do we make them inclusive? So on the one hand we know that energy transitions are very difficult. They face lots of lock-in, vested interests. You have to overcome certain power relations. You need lots of development of new knowledge. And the innovation diffusion of clean technologies is essential to this process. But for many countries, and I'm going to focus on developing countries, but I think we can extrapolate to others, and I'm sure we'll manage to do that. We have to think also about what does this mean for the poor? What does this mean for the losers if we transition to a cleaner energy systems? How can we make sure there's better energy access? How do we make energy affordable, accessible, reliable? And then one of the key things that many countries are facing is what does this mean for jobs? What does this mean for economic deployment, economic development? So this is some of the issues that we have to consider when we are thinking of a transition. It's not just about the climate change aspect, but it's also about wider development issues. So the question me and my colleagues wanted to pose first of all was, although there's this rhetoric about being inclusive as though this will change the world, is it enough to be inclusive? So we started thinking about that idea based on colleagues who are at the University of Sussex, who wrote an interesting blog article about inclusive innovation, Adrian Smith and Adrian Ealy, and using some of the ideas they had to develop this kind of small framework. So thinking about dimensions of inclusion, we can think about how are people included, who is chosen to be included, and why are people included. And so then the extent of inclusion can range from limited inclusion. So we include them just as potentially beneficiaries, just a few people, just including them to ensure the success of that specific project to moderate and then more extensive inclusion. So including them as decision makers as well as beneficiaries, including them in building up capability, so beyond just that specific project. And what my feeling and our feeling is that the form and depth, what I've called there, are all about participation because when you typically ask people what they mean by inclusion, they say it's about participation, making sure people participate. Well, I argue that we argue that that's one part of the picture, but this third dimension scope is really important because you can include people just for the purpose of that particular project. But if you really want development, you have to build up long-term capabilities. And so the research from innovation studies shows that we really need to move beyond the limited kind of inclusion that is just ensuring this success of that specific project or intervention, but really a systemic approach building long-term capabilities. And I want to show you through the cases of PV in Kenya, what we kind of mean by that. So Kenya's got a long history with solar PV going back many, many years. But the donor community has had a big role in the development of that market. And IFC have been involved in a couple of projects to kind of promote solar PV. The first, one of the main ones was the PVMTI, photovoltaic market transformation initiative. Started in 1998, supposedly it was ending around 2007, so a 10-year project, although it's had a little extension. And it was all about dispersing about $5 million in Kenya in loans to consumers and suppliers of PV, solar PV home systems. And the idea was that this would overcome a perceived finance constraint in the market. The outcome, sadly, was that only financed 170 solar home systems. And this is $5 million going out. So the deals with the banks that they were trying to set up fell apart after very long negotiations and contentions over the kind of riskiness of supporting certain banks. And things like training and quality assurance were just ignored. So from the inclusiveness perspective I've presented, although there was actually wide participation in this project and a lot of buy-in, various actors were involved in the design and the implementation, the scope was very limited. So it just focused on finance. The IFC, again, incidentally, tried another tactic this time with the Lighting Africa initiative and started in 2007 and really focused on building capabilities and supporting an enabling environment. They had awareness raising, market research, product testing, development of quality assurance methods, knowledge sharing. And the result has been a rapid expansion of the PV, particularly, well, it's the lighting market. So a slightly different segment of the market. But there's been this rapid expansion of that market in the past four years. And compared to PVMTI, this had a much broader scope. It was thinking much more systemically about the innovation system and knowledge, developing, building up knowledge, sharing knowledge, building these capabilities. So just to end on a couple of insights then, participation is an important way to ensure needs and desires of users are met and understood. So if we really want to meet the needs of the poor and the marginalized, we need to understand their needs and really understand the context that we're dealing with here. But participation is not enough just because they participate. If the scope of the intervention is very limited, then you're really not going to necessarily get a complete transformation and really build up long-term capabilities that can help people develop more. Okay, thank you.