All right, let's get started. So we've got Adit Madan from Lexio. Adit is a software engineer there and has been working on the Lexio integration for DCOS. And Mesosphere and Lexio work together on this partnership to make this happen. That's what Adit is gonna talk about and then demo the integration as well. Thanks, Ravi, for the introduction. Today I'm going to talk about how a Lexio can be used to accelerate Spark workloads on a Mesos cluster. I'll start with a brief overview of a Lexio for those who are not familiar with it. I'll move to two use cases of this solution being used in production. And then I will talk about the architecture of the solution with some details, followed by the deployment of a Lexio on DCOS and a demo with performance numbers. To begin with the overview, if we look at the big data ecosystem of yesterday, there was only one compute framework which was Hadoop MapReduce, and it had only one storage system which was the Hadoop distributed file system. The problem with this was that compute and storage was always co-located and if you had to schedule, if you had to scale out the storage, you would also scale out the compute resources and vice versa. However, if you look at the ecosystem today, there are a lot more compute frameworks for both streaming and batch workloads, and there are an equal number or even more storage systems each with its own pros and cons. And in most cases, these compute frameworks and storage systems are not co-located. The part about being not co-located gives you the flexibility of expanding storage and compute independently. The issue is that each application manages connections to the storage systems individually and optimizing for storage access requires application level changes and there is no sharing between different applications. So if two applications were sharing the same data, they would cache it individually, duplicating the data in memory and making sure that... And there would be duplication of data. This is where Aluxio comes in. Aluxio provides the storage abstraction for all of the different storage systems that you have, be it on-premise or in the cloud, across different file systems as well as object storage systems, and you can access the data typically using a file system API. And this can be done without any code changes at the application level and you can continue to use your Spark applications, Presto, Flink applications, name it, and without any application changes. The highest performance is guaranteed by managing all of the data in memory and providing shared access across the different applications that you have. To summarize, Aluxio has been used for a variety of applications ranging from big data to deep learning. As I'll talk about in the next few slides. To summarize, Aluxio unifies all of the data in your cluster. It provides high performance by in-memory data management. It provides cost-saving and you have no vendor lock-in as from an end-user perspective, migrating data across storage systems is transparent. I would also like to mention that Aluxio is one of the fastest-growing big data open-source projects. The graph that we're looking at is the number of contributors for different popular frameworks in their early months. The left, the y-axis is the number of contributors and as you can see, Aluxio is doing pretty well. Moving on to use cases of the given solution in production by existing today. Now, the first one I'm going to talk about is Chunar. Chunar is China's biggest travel search portal. They were using Spark and Flink in combination to tackle an incoming stream of click data from their website. The storage systems that they used were HDFS and Cef. They used Aluxio as a storage abstraction layer and also as a mechanism to share data from a pipeline of data processing flowing between Spark and Flink. On average, for their workloads, they saw about 15x performance improvements and on a peak workload, they see up to 300x performance improvements. The link that I have on screen gives you more information about the solution. The second use case that I would like to talk about is Garden Health. Garden Health is genomics data processing. It does some data analysis on genomics data for cancer patients. They used Spark to process data across different storage systems that they have, both on-premise and in the cloud, and they scale up to exabytes of data. They moved to a solution using Aluxio and Mesos and an object store called Minio. Minio was used for cold data with backups to Amazon S3. They also saw audits of magnitude of performance gains when they used Aluxio in combination with Mesos. The link that I have on the screen has more information. In the words of our friends at Garden Health, the benefits that they saw from Aluxio with performance could literally be a lifesaver for their patients. Okay, so let's talk about the architecture of the solution and some of the details. Now, let's say we have two Spark applications running on a Mesos cluster. Both Spark applications would have their own context with their own caching of any data that they access. In this picture, we have these two applications accessing data from HDFS and Amazon S3, or it could be any other storage system then. So whenever an application accesses the data, they would maintain its own copy. So in this diagram, we see that the two applications have their own copy of blocks one and three, and there is no sharing of the data between these two applications. The other thing that we see in this picture is that the lifetime of the cached data is tied to the lifetime of the application itself. Now, if you look at the same picture with Aluxio, both applications can talk to Aluxio without any code changes. Any data access from slow remote storage, such as HDFS and Amazon S3, would be cached in Aluxio. Typically, Aluxio is close to the compute cluster, which is the Spark cluster in this case, and the HDFS or storage system could be remote, it could be co-located.  So in this case, if the same two applications access blocks one and three, you'll see that there's only one copy of these data in Aluxio. This means that the memory, which is expensive in your compute cluster, is being well-utilized. There's no duplication of data, and this will, in turn, lead to performance gains when the memory is overutilized. Like I mentioned before, the storage and the compute, in case of Vanilla Spark, are tightly associated. So in case, there is, and they lie in the same JVM. So let's look at what would happen when the application goes away, and particularly when the Spark context that is running the application is no longer accessible, which could be when you have a crash or you just decide to close it. Now, once the application goes away, the storage that is associated with that application is also inaccessible, which means that when the same blocks are accessed again, they will have to be fetched from the remote storage cluster that you have. And this access is typically bound by network or slow disk IO. The same picture, Spark accesses data from Aluxio. In this case, if you have a crash, the data is still accessible in Aluxio. And Aluxio would manage this data in memory or across different tiers of storage on the compute cluster, which means that once the same data is accessed by the application that died or some other application, you still have that data in memory. To summarize, the lifetime of the data is disassociated from the lifetime of the end application which is using it. This provides both, this provides performance when the data is being shared across different applications and also during scenarios in which we have failures. Now, Aluxio has been integrated with DCOS. Aluxio is available as one of the packages in the DCOS universe. You could use Aluxio, you could use DCOS to deploy and manage Aluxio in a DCOS cluster. Now, on a DCOS cluster, Aluxio brings a unified view of all of the data that you have, be it on a DCOS cluster or from outside. It brings high performance and predictable SLA for your workloads. DCOS makes provisioning of Aluxio easy. It manages elasticity, both scaling up and scaling out. And together, the solution enables faster analytics with Spark and other frameworks which are running on the DCOS cluster. It also enables you to access data from disparate storage systems, both, for example, HDFS and S3. And in the demo that I'm going to show you next, we'll see HDFS being mounted as the root understorage system in Aluxio. What I mean by understorage system is just one of the storage systems that is backing Aluxio. And you'll be able to access Amazon S3 in the same namespace, which is a file system like namespace. The demo is based on an Amazon EC2 cluster. We'll have Spark and Aluxio running on Mesos on DCOS. We will access data from Amazon S3 by running a simple Spark count application. And we'll see some of the performance numbers of the given solution. The versions used in the demo we have used the last release of Aluxio, Aluxio 1.5. We used the previous release of DCOS 194 and with Spark 202 running on Amazon M3.extra large instances. For the demo, we have a pre-deployed DCOS cluster. It will access data from HDFS. We see that in HDFS, we have a single file called license.txt, which will appear in the Aluxio namespace once we mount this HDFS location into Aluxio. We will also access data from an S3 cluster. In S3, we have two files, readme and a sample 1 gigabyte file. The 1 gigabyte file is what will be used for the performance numbers. For Aluxio on DCOS, we have a Docker registry setup. The Docker registry will be used to hold the Aluxio client Docker image, which is built as part of the deployment process. And the client Docker image has the Aluxio CLI in it, which will be used to access the Aluxio file system. In addition, during the deployment process, we build a Docker image for running Spark on top of Aluxio. The Docker image will have the Spark shell and is also the Docker image used for Spark executors. To install Aluxio on DCOS, locate the package in the universe. The first thing that you need to do is obtain a license from Aluxio. And base64, encode the license. Don't try to use this license. This license no longer works. So the next thing that we do is have HDFS as the root under storage for Aluxio. Like I mentioned before, any writes that you do to Aluxio or any reads that you do from HDFS will be available at the root of the Aluxio file system namespace. Now, we just specified the under storage system for Aluxio and the license. And that's all that is needed to deploy Aluxio with the default configuration. Now, you can monitor the progress of the installation in the services tab in DCOS. After waiting for a few minutes, you'll see that all of the processes for Aluxio come up, which includes the Aluxio master process and Aluxio workers for the Aluxio distributed file system, as well as other auxiliary processes. Once the installation finishes, you will have access to the Aluxio client image that I mentioned before. So we just logged into the master node in DCOS to access the CLI. And once we're in the master node, we can pull the client image that I mentioned earlier. Now, the client image that was built as part of the deployment has all of the configuration that is required to connect a client to Aluxio setup already. So once you have access to the image, you can run the Aluxio CLI, which is a little hidden on top, which has been Aluxio FSLS. So the file that we see over here, license.txt, is being fetched from HDFS, which we configured as the storage system backing Aluxio. The not-in-memory annotation over there specifies that only the metadata from HDFS has been fetched into Aluxio. The data itself will be fetched into Aluxio once we access the file. So the next thing that we do is we mount an S3 bucket into Aluxio. We specify the credentials that are required to access the S3 bucket. In this case, we mount S3 at the location slash S3A into the Aluxio file system. And DCOS demo is the name of the bucket in S3. So you will be able to access both S3 and HDFS in a unified namespace. And you can easily migrate your data between the two storage systems. The end application only talks to Aluxio, and it is unaware of where the data is being accessed from. So you just specify an Aluxio path, and that is needed for your application to talk to one or more under-storage systems. As you can see, S3 was mounted at that location. And once we list the contents at the location S3A in Aluxio, we'll see the same two files that we had in our Amazon bucket. Readme and sample 1 gigabyte. Sample 1 gigabyte, like I mentioned before, is the file that we'll use for the performance numbers in the count spark job that I'll run. Like I mentioned before, the not-in-memory annotation only means that the metadata has been fetched from the storage systems back in Aluxio and not the data yet. So in the terminal that I have open below, I'll run a spark application, which is the count job. I'll log into the DCOS master node and pull the spark Docker image that was built as part of the deployment. Now that we have pulled the Docker image, we'll start a spark shell running the spark job on Mesos on the DCOS cluster. Once all of the executors for the spark job have come up, the first thing we'll do is set the log level in spark to info to monitor the timing information. As you can see, the spark application talking to Aluxio, you specify the scheme Aluxio followed by the master node of Aluxio. And then you specify the path of the file that you want to access. Like I mentioned before, the sample 1G file is not in Aluxio memory yet, but when we run the spark application and the data is being accessed from Aluxio, that's the time when you pull the data from S3 into Aluxio. And all repeated accesses of that data will benefit from the acceleration that is provided by managing data in memory. So we run the count job, which counts as a number of lines in the 1G file. We notice that the locality level was process local for this job. What this means is that Aluxio does not have the information in memory and there is no locality from spark's point of view. As you can see, this job took about 31 seconds to finish and this is when the data was actually pulled into Aluxio. Now, if you exit the spark shell and repeat the same job, let's see what happens. In the top shell, I just showed you that the annotation for the 1G file, it changed from not in memory to in memory, which means that now Aluxio has the blocks for this file. And in this case, since the default block size was 500 megabytes, we have two blocks for the file in Aluxio. So we restart the spark shell and redo the same count job, set the log level to infer again, re-evaluate the file and issue the count. So this time we can see that the locality level was node local, which means that the executors, the tasks had complete locality and that's why we saw the performance improve from 31 seconds to 3.6 seconds. So the results for the performance experiment that we saw in the demo, the lighter blue bar is the initial count that we did and the darker blue bar is when you exited the spark shell and re-read it the same experiment again. So if in case of Aluxio, you notice that we got an 8x improvement for repeated accesses independent of the spark shell, the spark context that you're using for the data access. However, if you access the data directly from S3, the initial count and any repeated counts after the spark context has been restarted, they have the same performance. So the gist of this is that when you have repeated accesses or when you have data being shared across different applications, you will see tremendous performance gains from Aluxio. To conclude, Aluxio is easy to use in a Mesos environment. DCOS brings you ease of deployment and management of the application. With Aluxio, you get predictable performance with a controlled caching system and you get improved performance as well. Aluxio easily connects to the different storage systems that you may have, be it HDFS, S3, CIF, you name it. There are a number of connections that you can do from Aluxio to the storage system. So go use Aluxio. It's awesome. So that's it from my side. Thank you for listening to the talk. You can reach me at aditataluxio.com for the questions that you may have after the conference and I'll be happy to take any questions now. So the question was that how long is the caching available? So you do have control over how long the data stays in Aluxio. So by default, there will be no eviction until the memory is full. So the question was how do you handle write workloads? For writes, we have different policies for writes. So the default policy, we have a policy called cached through which means that writes will be cached in Aluxio memory as well as propagated to the storage system which is backing the path. You can have different options such as something, a feature called fast durable writes which means that we will make sure that the writes go into Aluxio. We replicate the data in Aluxio and we asynchronously propagate the update down to the storage systems which means that when you do a write to Aluxio you're guaranteed that your data will not be lost and we will eventually persist the data to the backing storage system. Did that answer your question? Believe we only, so unfortunately, I'm not in a good position to answer that question since I'm not sure I completely understand it but we can talk afterwards to make for a longer conversation. Any more questions? Thank you.


So yesterday was global James Bond day and in celebration eon released the first poster of no time to die And What can I really say about this?  That's really all there is to it. It's like they were thinking.  It's global James Bond day We don't have a trailer yet. Hey guys, do we have a movie still that we can use? Yeah, no no that one looks good Yeah, all right. Just slap the logo on dad. Yeah. Yeah, that looks all right time is money. Just upload it. I Mean, does this even look like a movie poster to any of you? I know the movie posters nowadays have become a lot more bland than the classic old days I mean those were the days for movie posters live and let die a few to a kill moon raker Oh, no, those were awesome posters. They really had this one element featured all over them. Ah What's it called? Oh, yeah effort. I Mean look at this fan poster of no time to die Doesn't that just look so much better and with so much more thought and effort? You can tell that Jamaica is in the background. We know that the movie will be featured there, too Also that Sun it seems like the shutters from Fleming's house I mean, maybe I'm just seeing that but at the very least it gives me something to think about and look at When I see this poster, it just looks amazing. I Do hope we at least get the first trailer soon. I think with the trailers. It's usually the other way around It's the modern movies that usually have the better trailers compared to the classic Bond movies that have some really badly Aced ones from Venice to Istanbul from Paris to London Agent 007 cuts an inimitable path through the palaces and boudoirs of espionage Yeah, that hasn't really ate well say what you want about Spectre, but at the very least that movie had awesome trailers This poster it just really looks like those bland covers that they are now releasing the Bond movies in on Blu-ray and DVD Those are all some of the blandest posters they could use I mean, I have my own custom made Blu-ray covers and I just use the original movie posters for each of them You know, that's how they were intended In my opinion, I do hope no time to die ends up getting a better one later I mean, they could have also used that publicity picture of Craig walking in London here You know what? Wait, give me a second there. There you go.  I mean, we don't know the context of where Bond is and what significance this wall will have But I can't imagine there would be a good reason to feature it on this poster. It just looks ugly Anyway, I want to be a bit positive too. So let me see. I like Craig's tuxedo I think he's wearing a cool watch as well, but the picture is too unclear to tell. That's pretty much it Just my quick two cents. Maybe you guys have some more to say about it Just leave your thoughts. I hope they released a trailer this fall I really want to start and get excited for no time to die, but so far for me at least I'm not exactly as hyped as I remember being for Skyfall and Spectre. Who knows maybe that will follow soon Let's just all keep hoping that they'll just blow us away in April 2020


Mobile air defense groups do not give any chances to Russians near Kyiv.  In particular, it is about protecting the airspace on the outskirts of Kyiv, said Lieutenant General Serhiy Nayev, commander of the Joint Forces of the Armed Forces of Ukraine, showing a video. We are constantly working to improve the efficiency and skills of our soldiers, he says. According to the general, Ukrainians must be sure that mobile firing groups in the area of their responsibility do not give the enemy any chances. I thanked the soldiers from the mobile fire groups, who are part of the echelon covering critical infrastructure and civilians in Kyiv, Nayev adds. Earlier it was reported that Ukraine had received the entire nomenclature list of air defense systems that it had agreed on with its western partners. However, Ukraine needs more of these systems. In particular, according to Air Force spokesman Yuri Inat, Ukraine needs more systems such as Patriot, Samp-T, Iris-T, Nassams to protect the country and those facilities that the enemy will try to attack and destroy. In particular, a multi-level air defense system consisting of various types of weapons has been built around Kyiv. However, no air defense system, including that of the capital, guarantees complete protection.


All right, just checking in to see if the screen's working. All right, perfect. All right, everybody, welcome. My name is Fausto from Cybertree University. We're broadcasting live here from New York and we're here to talk about how to master tape reading. So with that said, just wanna make sure, can everyone see me clear? Everyone can see me clear up on the screen on the webcam, just wanna do quick audio and visual. Lewis, can you see me okay? All right, good, good, good. All right, so anyway, with that said, everybody, we're gonna talk for about maybe about 30 to 45 minutes. The more questions you ask, the better you're gonna learn how to trading, no more about Cybertree University, why we're here. But my goal today is not about just teaching you and talking about the things of what we've accomplished and how we change people's lives because that doesn't mean anything unless we could do the same thing for you. And that really comes down to it. But before we get started, just quick little warning. Listen, I'm not making any guarantees or promises and vary from student to student. So please make sure you're very smart on what you invest in before you make your trades because trading can be very, very risky and I think a lot of people know that, all right? But this is strictly for educational purposes only.  Just give me a chat back, let me know. Just wanna get to know a little bit about everyone here in the room. Couple of months, couple of years, couple of days, 20 years. Eric, three years, okay. Good, five years. All right, good, good, good. Wow, we got a lot of people who've been around here for a while. Birthday today, okay. Now my next question is, you know what? Let me see if I can do a poll here, all right? I like my polls and who really trained you? Let me see this, let's do a poll here. Let's share this poll. So are you self-taught? Have you took paid courses? Have you been coached and mentored by somebody? Just out of curiosity. Jeff, you could just do it right into the poll question that's popping up on your screen, all right? All right, good, good, good. So it looks like most of you are answering this question, great. Now let me end the poll, let me share it, all right? So you guys could see the sharing. It looks like a lot of you are self-taught, and that's okay. Okay, it's 78% of you that have done it. Trading is about, I would say maybe a 90% failure rate.  Yeah, you know what? Listen, how successful is someone gonna be doing? How successful, if someone traded your money, someone that, you know, if you were to give you money to someone in Newark, they were doing, right? Was educated how to invest? Well, what do you think we're doing? All right, so my goal is to teach all of you the danger of trading, why a lot of you have done things backwards, and hopefully, everybody here is gonna take their phone right here and scan that QR code right now, because that QR code is gonna change your life. Okay, because I am going to make a guarantee here. You join my trading room for one week. You're gonna learn more in one week that you probably learned in probably taking anyone's course. So how do I know that? I might hit a brag, but I live here in New York. I've been trained by some of the best traders in the world, we're endorsed by some of the biggest brokerage firms in the industry. I'm featured on NASDAQ, Thinkorswim, TradeStation, Schwab, there's a reason for that. And not only that, but a lot of you really don't qualify to trade and is no one better than going out there, get a consultation, making sure it's for you or not.  Now, so every team is start, well, listen, Brian, you could start whenever you want to. You could start today, you could start next week, whatever it is, but just make sure you get that done. But let me tell you a little about myself, okay? Now, I started 30 years ago.  I was one of those kids. When I started, it was about 1,000 of us. Now there's over a million of us doing around the world.   I beat every school in the industry. The thing is this, I'm not here to brag and tell you how great I am, because that doesn't help you. The question is, can I teach you how to do it? And what I'm looking for is I'm looking for traders I could train to be part of my team. But to do that, I wanna teach you the style. I wanna talk about level three. I wanna talk about level four quotes. I wanna show you exactly how to read the future and that's some indicator in the back. And hopefully you could be the next person that sits side-by-side with me in my next upcoming events. Now, like I mentioned earlier, I was just on NASDAQ last week. I'm in featured on some of the biggest brokerage firms and financial stations. Why is that? Because not a lot of people understand the concept of trading. Being a market maker, where I used to trade for all the people's money, I came to the conclusion that I wanna learn how to trade my own money and not split the profits. But to do that, I've learned being in a brokerage firm, the only way you could succeed is you gotta be part of a successful team and doing it like Wall Street does it. So as a bonus, I'm going to give everyone who does register, I will give you a free copy of my book. You can go to Wiley, you could buy it for $40, $50 or I'll give it to you free at the end of this presentation. I'm basically, it's how to beat market makers in their own game. It was the number one best seller and I think everybody here would enjoy it. Now, let's get started. Enough about me talking about myself. Let's talk about you, okay? And are you ready for the next market meltdown? That's what basically I worried about. Now, you see the market's been going up and up over these years. Is it going to continue? Is it going to be more of it? Well, let's just take a look at an example of what happened yesterday. Lot of big news came out. Did everyone heard and saw what happened with the ETF regarding about the lawsuit against the SEC? Everyone see what happened with that? Listen, you could wait for the next biggest crash. You could wait for the next biggest rally but every single day there's something going on. Just like yesterday what happened with Bitcoin and then with that you had stocks like Mara, Riot, Coinbase, these stocks are public companies. You could have traded the stock, the option. You could also even traded the stock itself. Mara, when that news came out went from 11 up to $14. You had Coin that ran from 76 up to 86. I mean, the list goes on and on and on. Now, what are your other thoughts about other stocks? Listen, there are so many stocks that are moving every single day. And there are stocks that are going down every day but what you have to focus on when it comes to trading is why are they going up? Who is driving them up? And how do I know when to get out of them? Because you could sit there and trade these stocks all day but the game plan is what makes them go up and down and it's going to be two simple words, buyers and sellers. Now, does anyone here use any special platforms or any newsletters or follow anybody, people? John, you do, good, good, good, everyone. Few of you have, okay, great.  That's it. That's all we focus on is buyers and sellers on the big percentage gainers and losers. You don't need these fancy newsletters and subscribe to it. Every brokerage firm gives it to you. But the thing is and the problem with this is where people get confused is like Fausto, there's a lot of stocks out there. How do I know to trade DICE and not trade SPSC? How do I know how to trade Amazon and not today and verse trade Apple? Well, that's what I'm going to cover. But finding them and when you join our trading room, you're going to realize that 99% of stocks that you're trading, you could trade things that are a lot less riskier with a more reward of a profit. So you're probably trading something so much more speculative and so much more volatile that when you come into the room, you're going to be like, my God, these things are moving so fast. I'm like, yeah. And you think you're going to trade them because I can't, but there are other stocks out there that are moving because it's all about control. But you got to ask yourself this very important question. How are you really making money in the market?  Did you really get there?  I made a million dollars. My next millionaire trade, forget about that. You know what you are here to do? You're here just to live. You just want to make a day's pay. You don't need to be a super millionaire. You just want to survive because that's how I did it. Let me tell you, I've traded some traders that blew me away, made a fortune in trading. You know where they are today? 80% of them are in another industry. How is that possible? Because they got lucky. And the problem with luck, it's not skill. And that's what you have to understand. It's all about making a game's play, but you got to know when to trade and when not to trade because when it comes to trading, it's not a full-time job. It's a part-time job. And that's why when depending on where you are logged in from and where you're from, you could be West Coast, East Coast, wherever it is. But when you come to trading, it's all about trading in the morning and the afternoon. That's it, depending on your time zone. Because when you see a stock like IONQ and it goes from 15 to 16 in about an hour, there's always gonna be opportunities out there because in the middle of the day, things die out. Now, when it comes to trading, why do most traders fail? Because that's really what the outcome is. Listen, everybody likes to talk about the winners. Does everyone ever talk about the losers?  So let's talk about that. Some of you have spent hours, thousands of dollars learning indicators, learning this, learning that. Let's talk about the big money. And the big money is following the future. And the future are algorithms, high-frequency trades, dark pools, all those things that control the market. That's what we need to cover. So we're gonna talk about level two, level three and level four. Now, let me just see if I can do another poll here and just wanna see if everybody has this. So does anyone here have NASDAQ Book Viewer? I wanna start off with level three. I'm gonna do a quick poll. Anybody here have it? It's gonna wait all you guys to fill out that question here. Okay, looks like a lot of you don't. All right, by the way, listen, there's some of you have not answered this question. Mike, I didn't hear from you. Bruce, I didn't hear from you. Don't be scared to answer the poll. No one's gonna pick on you. No one's gonna rat you out. If you can't tell me to just say you're not sure, you don't have it, whatever it is. Don't, listen, I am not here for my health, okay?  All right, I'm gonna share those results and you could see from everyone that filled it out where you fall, okay? So if you did say no, guess what? Don't feel too bad because a lot of them said no themselves. Now, you gotta listen to me carefully because what I'm about to show you is gonna be so depressing. Why? Because what you're about to learn is I should have known how to do this years ago. And you know what I'm talking about and you knew this exists, but you didn't know until now that someone's gonna teach you how to do it the right way. So let's talk about these platforms. I'm gonna start off with NASDAQ book viewer. I call it level three. Now, I'm a guest speaker at NASDAQ. I was just there last week. I'm there every month.  You can watch those interviews. But NASDAQ, the exchange wants you to know how to trade the market. Most of you even, you could see how many of you were just basically how you answered that question. Think about this. This is how the exchange works. Why would you ever want something else?  Does everyone here know how to drive a car? Okay. I think most of us know how to drive with some of us, right?  Why don't you just use Tesla's new autopilot? Oh, sounds interesting, right? Yeah, did you find how much it costs? Why I gotta spend all that money? And secondly, do you really trust it?   Oh, what do you need to learn how to trade? We're gonna tell you how to trade. We'll tell you what stocks are moving. Well, why are you telling me that? Why is it going up? Oh, well, we did our analysts. You know what? Stop spending money and let's learn what the exchanges want you to know. Let's talk about level three. Let me get my crayons out here for a second. Hold on one second. In with this over here. And where's my crayons? Use my pointer too, by the way. All right, so these are your buyers and these are your sellers. See buyers, sellers. Now you have three columns. One, two, three. One, two, three. Now what you're looking at is we're looking at Coinbase and basically this is the stock that's trading in the market and what you're noticing is that whoever wants to buy the stock here is up on top. Whoever wants to sell their stock for the least of money is over here on the right on the sell side. So you're looking at a negotiated system. These are the highest buyers. These are the lowest buyers. These are the people looking to sell for the least amount of money. These are people looking to sell for the most amount of money. These amount of shares are looking to be sold at that price. These are how many orders make up those amount of shares. So what you're looking at is you're seeing the buyers, you're seeing the sellers, you're seeing how many shares looking to be bought and sold at that price and how many people make up that price. You're seeing every single order in the entire world that want to trade coin. Think about that for a second. You have a seat on the exchange. Why in the right mind would you not want that? Why would you not want that? You know what, when I started, I tell you why most people didn't want it because of course you have several million dollars to have a seat on the exchange, okay? How much would you pay to have a seat on the exchange today? If you had an opportunity to surround yourself with some of the greatest traders, that is the floor, the auction, the place that you always wanted to go where the dealers buy their cars because you had to always pay a premium. Now you have the opportunity to find out what's going on the street. What would you pay for that? Would you pay a million dollars for it? I don't think so. Maybe not yet. Maybe some of you can't afford it. Would you pay a thousand dollars? I hear crickets. How about this? Would you pay a hundred dollars? Is it worth to pay a hundred? Oh, now we're getting people to answer. Brian, yeah, okay. How about this? Would you pay $15 to that? To have a seat on the exchange? Oh, now I'm getting yeses. Margaret, what about you, Carlos? 15, wow, my God. From a million, we went to $15. Am I making up some bullshit? I mean, is this really true? No, I'm not lying. That's what it costs. That's what it costs. Who here would want to spend $15 a month to have a seat on the exchange? To know where Goldman is, Merrill is, Shearson, BlackRock, all the algorithms, all the dark pools, all that stuff, okay? Well, if that interests you, is what we're gonna do, okay? Oops, oh, there we are. Trying to find out, trying to clear my drawings. All right, so this is what we're gonna do. I want you to email me. And I'll send you the link. Valstopectucorp.com, all right? So write down my email address and I'll tell you where to get it for $15, all right? Fair enough? All right, so some of you probably need to be convinced. Okay, great, I can see on the exchange, Valstope, but what's the style? What is your style behind this? What makes it, how am I gonna utilize this stuff? Okay, I'll tell you how it works. You're looking at a stock Carnival Cruise Line, okay? And you're looking at a chart and the stock is at like 1780. And you'll notice that the stock came down and found some type of a support level right around here, around 1710. What happened at the 1710? It hit 1710 and it went right up to 1760. Now, why did it pick 1710? How could I have not known that? How could I have a game plan knowing and been patient and could have bought it where it bounced? Well, when you look here on the NASDAQ market, when you look at the buy side, because buyers make support, you'll notice that you have two big buyers. You have a 36,000 share buyer at 1710 and you got a 56,000 share buyer at $17. Now you got buyers of 15 shares at $15, 4,000 shares. Between those two orders right around that price, you're talking literally of almost 100,000 shares. Now I don't know about you, but if I had to trust somebody, I would rather watch him than watch you, Phillip or you, Rose or you, Lewis, okay? Because it's not what you think because you're just the ants. You're trying to just get the crumbs. These guys are trading 36,000, 57,000, okay? 56,000, I'm sorry. Those are the people that make support levels, not some Fibonacci or MACD. Just like a stock will make a resistance levels. You have a stock like here, VXTX, right? Stock goes, starts at 1550. It goes up to 1620, it comes back down to 1550. It goes back to 1620, comes back to 1580, gets to 1610, down 1610, down 1610, that invention comes out at 15. What the hell's the problem that this stock can't break through 1620? Well, there obviously got to be a seller because that's what makes resistance. Well, when we look at the sell column, we got 300 shares, 500 shares, but when we work our way down, right around 1620, you got a 25,000 share seller. Now that wasn't as much as we saw in the previous stock, but every stock is different. But I'll tell you one thing, when you're looking at more the average trader out there, looking to sell, which are in the hundreds, 25,000 is almost a lot more percentage wise than any other price out there. So you know what? I think we're to follow that guy, then follow what some, you know, RSI says. Let's go check out some examples this week. CVS, okay? CVS is going down. By the way, did everybody know what's going on with CVS? What happened? Why did CVS go down? Let's see how some of you answered this question. Why did CVS go down? I don't know if you guys watch it. I know some of us go shopping there, maybe get your medication. Why did it go down? You should know this because it affected Dick's Sporting Good. It's affected Nordstroms. It affected Macy's, all of them. Nobody knows. Nobody knows. Didiets have purchased this shitty company? No, it's not one. Stealing. They've been doing a huge theft going on, okay? That's not the role of the companies. They're doing great, but their profit margin is very small. So all they're doing is that, you know, they get robbed left and right. Now, not to get this like, you know, oh, a political thing and this and that. Unfortunately, catastrophes make opportunities for traders. If it's the hurricane that's going down in Florida, if it's, what should we call it? If it's COVID, if it's, you know, 9-11, whatever it may be, the financial crisis, the internet bubble, whatever it may be, you can't take things personal as a trader, but in this case, a lot of these companies got really beat up because of stealing.  Well, listen, as a trader, people didn't like it. The stock went down. What am I going to do? Hold it. I think I'm going to sit there and support it with the stock going down. Listen, I own the company, you know, for it or not, it's going lower, it went lower. So I'm not going to hold it. I'm not going to be the sucker holding the bag. I'm going to get out of it. Or maybe some of you be more sad. You might short the stock or maybe do an option, put a put-call on it. But to get to the point is this, the stock went down and you're probably wondering, well, how'd you know it was going to go down? I'll tell you why it's going to go down because people were selling it, but there's always going to be a buyer somewhere. There's things that are called program trading. There are things that, you know, people just want to cover their shorts. So some of you like, well, how do you know how so where the buyers are? Well, let's go check out, let's go on the exchange. Let's go pay the $15 of book viewer and see what the street's doing. And then sure enough, you'd be like, okay, well, you know what? There's 108,000 share buyer at $64.75. And there are 35 people around the world that make up that 108,000.  So no matter how bad you think that news is on that company, how do you really, really know how much lowers are going to go? The way you have to look at it is going to follow the street. And by following the street, what happened? Stock hit that support level and in less than an hour, it bounced $2. Do you realize $2 on a thousand shares is a $2,000 profit? You do that every day, that's a half a million dollar profit. If you just made half that, you're talking a quarter of a million dollar profit. Who doesn't want that job? Rick, I'm gonna get to that question at the end, okay? He's asking me, can I use an indicator for indexes and commodities? We didn't get there yet, but yes, you can. Let's look, okay, now let's look at this. US Steel, rumor buyout with US Steel, okay? A couple of companies are interested in it. Stock's going up. Question is, how much higher is it gonna go? So let me ask you everybody here, where do you think, how much higher could US Steel go? How do you know where to get out? What do you do? What do you need to do? Check the news? No, not that. Look at previous resistance, okay, Richard? Brian says, how about look for some sellers? I think I'd go with you, Rich. I mean, Brian, I'm gonna look for sellers. So I'm gonna go down to NASDAQ. I'm gonna check out what's going on here, because I don't know where to, how much higher is things gonna go? But I'll tell you one thing, I wanna book a profit if I own it at a good price, because it could be 40, it could be 50, or you know what, it could be 31, 80, 90. And how do we know it was 31, 90 out of all the numbers? I don't know, because maybe there's a quarter of a billion shares sitting there on the offer. Is that still not worth $15? Huh? How about this? I'm gonna give you my number again. FaustoP at CTUCorp.com, $15.  It could go to 32, but let's get past this 31, 91st, if you know what I mean. Yes, Robert, reading get to that, okay? That I'm saving the best for last. But the thing is this, everybody here, is that everything when it comes to trading, nothing is free in this world. You have to make an investment when it comes to trading. And it all comes down of knowing where those buyers and where those sellers are, because if you didn't know that seller was out there, look what happened in the chart. It hit it, it came back down. It hit it, it came back down. It hit it, came all the way back down to 30, 60. And you know what I know? You've been there time and time again, and you know that there's someone out there selling a stock and you wish you'd known where he was, but guess what? Now you can. So there's my email.  So I look forward to seeing everybody, ask me how to get that. Now, let's move on. Let's upgrade to level four, which one of you was just asking me, what is book map, book map, okay? So if you found me through book map, I've been there from the day one when they started. Now let's talk about this. Level four is basically level three on steroids in a way of now you're seeing it more of on a heat map where you could actually see how long those people have been out there and how long they've been trading there. So now when you look at this is that now you're looking at orders where you're seeing a stock go up and you could see like this $14 seller out there for 90,000 shares. You could see how long he's been out there. So when you're looking over here, the COB, which means current order book, that is like level three, that's like the Nasdaq book viewer. But now when you're looking at a chart, you're implementing time and sales, you're implementing colors, all that stuff. So let's look at a couple of stocks that bounce over here. So here you have a stock RTX going down, okay, came out with some ban earnings, okay? Now when we implement level four, you'll notice because I know some of you here have always been in a bad trade and like my God, do I sell it here? How really bad are those earnings? Well, it doesn't matter what you think, it matters what the street thinks. And you wanna know, do you take a loss now? Do you hold on? Maybe you're at support levels, but when you look over here, you'll notice that the stock had a buyer and he started adding to his bid right around $82. And you could see it's about $30, 30,000 shares out there. Now there are buyers out there, 200, 300,000, but right there is where you see the big buyer.  Stock hits that $82 and goes all the way up to 85, even with bad earnings. Why that happened? Because of that big buyer was out there. Let's see what a stock reverses at resistance. Here you have a stock, NEO. Good trend trading at 11.50, it's at 11.80, but there has been someone sitting there for about 270,000 shares at $12.00. Now that is literally about 20 cents away. So the goal is this, you're always looking to take a profit. And when you look at a chart and you're seeing you're at 11.90, you feel like, like, God, this thing looks awesome. I know NEO, it's the copycat of Tesla, it was expensive stock, maybe this is the bottom. Yes, that could happen. But unless that seller gets out of the way, it's not going anywhere. Like it or not, hope all you want until that seller moves out of the way, if someone's gonna take them out, you're not gonna get past it. And you could hope and hope and hope all you want, but you could see 11, 12, one, two, two o'clock still didn't wanna break it. All because of not what you think or what you read is because of that seller's out there. Now, what happens if a stock breaks resistance? How does that even happen? You see stocks like, oh, I thought it was resistance. The chart told me that was past resistance. How did it break it? Well, listen, there are sellers and guess what? Sellers can be taken out. Someone could be like, oh, I like that stock. I don't care that this 76,000 shares seller out there, I'm buying it. And you know what that can happen? Because stocks break resistance all the time. And when they break resistances like that and you see those green balls and those stocks go up, that's how stocks go from $10 to 1070 in less than an hour.  Better time than ever. I'm gonna tell you exactly how we could do this and learn more than that. But let me ask everybody a question. Did you guys learn anything? Did you guys learn anything yet? Richard, a lot, Margaret said. Yes, sir, Alex, okay. Yes, yes, you have. Now think about that. How long were you talking for? 30 minutes? Some of you here been trading for years. Some of you here have never even heard of this before. I'm like, my God, I knew this existed. How did I not know this? Well, the reason why is because believe me, I was you 30 years ago. And when I was originally taught this, I was like, oh my God, how in the right mind is the general public and they think they're gonna compete against not having this information? And the difference between 30 years ago until today is that 30 years ago, you had to pay $1,000 a month to a million dollars to have this data. And now today it's costing you $15. And what in the right mind would anybody not want that? And you know what I always find? Two reasons. Number one is too cheap. Or number two, you want free stuff. And let me tell you right now, and don't take this the wrong way. If you're here for free stuff, do yourself a favor.  You think $15 is a lot of money? You think that's that much? You don't even deserve to trade, okay? I used to pay $20 a ticket to get in and out of it as a market maker.  Remember that? And then they used to charge you commission if they made you money. Remember that? Now what would a ticket's cost? Free? Let me explain something about the word free. How does a brokerage firm make money on a free ticket?  How do you guys make money, okay? And you know what? This is how they make money because they trade against you.  So they're taking the bet. They're trading against you.   Now, why am I here? Why am I telling you this? Because what I'm looking for is I'm looking to teach traders how to trade with me. I'm only, there are thousands of schools out there that teach you how to trade. Believe it or not, there's a lot of them that are my students that started, okay? A lot of them started at Cybertrain University. And the thing is this, eventually once you know how to play the game, then you'll know why to trade an option. Then you'll know why to do a swing trade. Then you'll know why to maybe trade a future. Maybe then you gotta know the foundation of trading. A lot of you are like, you started at the 12th grade and then you got into the past first grade and that's why people are failing left and right. So that's basically where that comes in, all right? So you have to, another thing I wanna let you know is this, September and October, November are the best months of the year. So you're at a really great time of learning how to trade. Cause summer's over, so why not get into it? So this is why Cybertrain University, and I know this sort of fact that if anybody here ever took training before, none of them could probably put this up on their screen to tell you they've been featured or endorsed by some of the biggest brokerage firms in exchange in the industry. And let me tell you something, traders. These brokerage firms would never have Faustopublici and Cybertrain University on their shows if they thought we would teach you people how to lose money. So they do credit checks on us and everything else. So trust me, you're in good hands when it comes to that. And not only that, that's why we have a five star rating Google rating, okay? Now, this is what I'm looking to do. I'm not looking to sell you the $49, the $39 or the $15. What I'm looking to do is this, does everybody have their phone? Okay, I want you to put it on camera because I'm gonna give you a QR code right now. So everyone here is gonna register because I'm gonna give you one week in my trading room to see if this all works live because we practice what we preach. And this is what you're gonna get.  When the market opens up, you're gonna get live audio broadcasting when the market closes. For one whole week, we trade from nine o'clock, actually started eight o'clock in the morning, all the way up to four o'clock going into the closed. You don't gotta be there all day. You could be there in the middle of the day, in the morning, whatever it is. And every single one of you are gonna get the opportunity to talk to my staff. We're not gonna give you an email. We're not gonna make you text. We're not gonna say, oh, go to a private chat. We're not a one-man operation, okay? Might look pretty good, some of these people. You know, they might look great on YouTube, but listen, we love our traders and we'll do everything we can in our power to kind of help you get successful to trading. But you gotta make the small investment to get in there. This is why we'll bring the greatest gurus in there in trading. And let me tell you, there's a lot of bad ones out there too. So this is what I'm looking to do. Take your phone, or you can click on that link right there that we posted in the chat for $9, money-back guarantee, I'm gonna give you one week access in my trading room. That's it, $9. Now, forget about the $15 for the book view, or forget about the book map, whatever all that stuff, a platform. How about seeing it really working live in the market for $9? And my thing is this, what does that cost you? $9. The $9 to me, let me just tell you, I don't need your $9. You guys looking behind my shoulder? You see that right there? And please don't come and steal in my house. That's a signed personal autograph from Michael Schumacher. Okay? That thing's gotta be worth close to 20, 30,000. I got shoes over there that cost 10,000. I got a painting, right, baseballs right here that have worked about 50,000. I don't need your $9, okay? You know what I need? I need real people.  That's all it is. That's all it is.  I don't need your $9. I am looking for serious traders. That's all I'm looking for. Now, this is what you're gonna get. You're gonna get one week in our trading room.  You're gonna get some workshops, okay? And you know what, as a bonus, how about this? I'll even talk to you on the phone. You know why? Because I think you got a lot of questions to ask. And there's no better person better to ask than your mentor. So how many of you have been in a webinar or have gone there somewhere and actually spent hundreds, if not thousands and never even spoke to anyone on the phone? Now you're paying $9 for it. Once again, why am I doing that? Because I'm looking for serious traders. And if you're serious, we'll take you serious. But I don't know anything about you. I don't know where you come from. I don't know if you're qualified, but believe me, we're gonna vet you and we're gonna make sure. And you might like what we say. You might not like it, but we'll tell you the truth at the end of the day because this is going to be an interview. When can I, so, oh, okay, when can I start? Listen, listen, it's fresh in your mind. So you wanna start right after we get off the phone. After the webinar start after. You wanna start on Monday, start on Monday. But don't let this thing go past you. Don't think about it. There's nothing to think about because after that week, if you want your $9 back, I'll give it back. But I'm looking for serious traders. Now there's, that's the promo. You're going to get the weekly guaranteed. You're gonna get the free coaching with me, all that stuff for that. Now I got a couple of people that asked me questions. Some of the popular question is, do I need to have a brokerage account? No, you don't. You don't need a brokerage account. Absolutely not. Oops, sorry about that. You do not need a brokerage account when it comes to trading, okay? We don't want you to buy and sell anything. All we want you to do is watch. Okay, that's it. Now, when you register, very important. We're gonna ask you five important questions. Please let us know a little bit about you. Are you trading? Did you take classes with somebody? Okay, who's your broker? So we want to make sure you have the right brokerage account. Some of you are like, did I, I don't know, is this the right company? And now believe me, the more you help us, the more we can help you. Then there's gonna be a calendar to book your appointment. Everybody here is gonna be talking to one of our education advisors. They're going to, you know, we're gonna do a walkthrough, show you what the trading room's all about.  You buy these programs and you're like, okay, here's a demonstration. Watch this video and I'll show you what to do when you're on your own. Yeah, that really worked good for the doctor that read a book and it's gonna do brain surgery on you. So that doesn't really work out too well. So you don't need to have a brokerage account. Don't worry about that. All you need right now is $9. A couple of questions coming across here. Michael, okay, but if I learned the mythology, can I apply to futures? So Michael, a couple of things about futures, options and everything else. You can use futures towards this trading that we're doing. I personally just trade stocks. I'm not a jackable trades. But if you are a futures trader or an options trader, all I could say is this, how long you've been doing it for and are you successful at it? If you've been doing it for more than three months and you're not making, doubling your brokerage account, if you don't see that you're consistent, you're probably wasting your time. You probably found the wrong person teaching you or you're wasting your time. Trading the stock market, when you turn on a TV, open up the paper, what do they talk about? Talk about the stock market. That's all they talk about. I rarely ever hear them talk about options. I hardly ever hear them talk about futures. I hear them talk about cryptocurrency more than anything. Stick with people talk about, that will make you a better trader. All right? Question. If I use bookmat because it's still needed as a book viewer. Lewis, no, you don't. But you know what? It's nice for the $15 is really gonna break you. Listen, you're not tied into like a long-term contract. You go month by month. If you wanna cancel, you cancel it. That's all. But it is nice to kind of get a feel so you know, you appreciate what you have and not. But you know what? Let us teach you how it works first. Take the $9 and go out there. Now, let me just do a couple of shout outs because I got a bunch of people that just registered. Brian Chu from California got your registration. Welcome aboard. Zachary from Philadelphia got your registration. Welcome aboard. Who else we got? Ingrid got your registration from Texas, Spring, Texas. Welcome aboard. I see all the people are registering right now. Traders. There are over a hundred people in here. Why am I not seeing all hundred you registered? What do you have to lose? What do you have to lose?  Endorse by every brokerage firm. A trader that's been a market maker down in Wall Street. What do you have to lose? It's a money-back guarantee. $9 is not going to hurt you. But it's gonna teach you the fact. And even if you are an options trader, it says, well, I don't really trade stocks. Well, let me tell you this. How does an option move? It's the movement of the stock. Don't you think you know how to trade? Don't you think you need to know how to trade the stock first before you know how to trade an option? You know what I mean? I'm going to register a little. Well, like I said, I'm still waiting for you, Lou. I see you in here. But listen, it's fresh in your mind. Go register now. Don't put on the side. Get involved, okay? Mike, thank you very much. Got your registration from Florida. Hopefully you're not part of that hurricane. Who else we got here? Debbie, got your registration. Jill, got your registration from Ontario Canon. Welcome aboard. Look forward to teaching you. Jack, just got your registration. Thank you very much. From Chicago, look forward to seeing you. Allen, got your registration from Beverly Hills. That's not California, by the way. You can see that somewhere else. What is that? Missouri? Welcome aboard. Any other questions? Any other questions? A question came up, Paul. When could I start? Listen, like I said, whenever you're ready. I know if you're looking to start on the week, whenever it is, I know some of us have got Labor Day coming up, whatever it may be here in the United States.  So make sure you take care of that. I don't know if it would be compatible to the India stock market, because I don't trade the Indian market. Okay, I only trade the US market. Robert has a question. Did you answer it already? But asked again. Your group doesn't do a lot of futures trading. No, Robert, I don't, but I do know a lot of really good futures traders. So if you really wanna know somebody that's really good at it, send me an email. I'll tell you who to go to. And they do use our style of level four. Send me an email. I'll be happy to send you over to them. You know what? You could do all the work you want and do all the research you want. Everybody could be a hell of a salesman could be endorsed by somebody, but some of these people really don't qualify. I know a lot of people in this industry.  Some of these people are just great YouTubers. Some of these people, listen, when you're around as long as I've been around for 30 years and you got an A plus ring to bed a business bureau, you never had any problems or issues. We obviously doing something right. I know a lot of people that are saying, Richard S, I got your registration from Quebec. Look forward to teaching you. By the way, for all the Canadians out there next week, I will be in Toronto at the money show. So we'll be great if you guys register now. And then when I meet you up in Toronto, if you wanna see me face to face, even though we'll still talk on the phone, be happy to meet you up there. So look forward to teaching you there. Seeing everyone register right now. Ken Goodkind got your registration from Penn Valley, Pennsylvania. Right at the block from us. Love Pennsylvania. I don't know if we have any Pittsburgh fans out there, but Pennsylvania has always been great for me. My uncle lives there. Actually, my grandfather's from Pennsylvania. He came here, moved back to Italy, married my grandmother. They had their kids. So I'm first generation Italian. One thing I learned that being first generation Italian, my parents came with no money. We were extremely poor, and all their siblings became very successful, all multi-millionaires, hard work. One thing I've learned is that my father always taught me this. And this is how what I'm trying to advise all of you. You wanna be good at something, you gotta surround yourself with people that are really good at it. In other words, you wanna be rich, hang out with rich people. You wanna be poor, hang out with poor people. You wanna keep yourself out of trouble, stay away from troublemakers. So worked out pretty well. And that's what you have to learn in trading. You wanna be a good trader, hang out with good traders, okay? And the only way you know if they're good traders is listen to the traders in the room and see if they're doing well themselves. And not only that, but another thing you're gonna notice being part of CTU is that a lot of the people that are in the room are probably like you. Retirees, business owners, engineers, not some $1,000 video game players, trying to pay for their college. So that's the beauty of it. So you'll see, you'll get very, very, very familiar with it. I'm from Pennsylvania, Illinois, in Old Fousa, the garden, well, funny you say that. So my kids, Lewis, they play crew and I remember going to Villanova. I know it's a big, big crew college in Pennsylvania. So been there, done at beautiful school. A lot of people in my town actually go to Villanova, you know? My kids actually ended up going to Delaware, University of Delaware, but the garden's doing great. Hopefully you're subscribed to my Fousa home living channel. I'm actually, this weekend, we're actually doing our yearly sauce. Our, we make about 300, 400 jars of tomato sauce and I actually have a video how to make sauce. So once again, definitely watch that video if anybody wants to learn how to make very authentic Italian sauce. But as much as I want you guys to watch my videos on Fousa home living because I had so much time on my hands. That's why I'm here today. This is what trading is all about. It gives you the freedom to travel, to do hobbies that you always want, spend time with the grandkids, but you gotta learn the right way. Couple of people before we go, everyone, before we leave, Robert N. from Seaford, New York. Wow, you're right, Robbie, you're right next to us. Right, right.   So great area, beautiful area. All right, everybody, I gotta go. Once again, take your phone, click on that link, get registered, there's that fast home living channel if you wanna watch it, but most importantly, take the $9, let's get involved. Everyone should have been signed up. If I didn't, if you didn't sign up, listen, maybe you're not ready, it's okay. Maybe you wanna do your homework. Maybe you wanna know a little bit more about Cybertrain University. Maybe you wanna need to come back again, that's fine. We'll still be here. I'll be here for another 30 years. I love what I do, but most importantly, I love changing people's lives. So let's just make a very small investment.  Thanks for coming. Enjoy the rest of your summer, your Labor Day, everybody. And everyone to Florida, if you are from Florida, hopefully you'll be safe and we'll see you all in the trading room. Thanks everybody for watching. Have a great day.


Hi, everyone. Thank you so much for joining me today. My name is Chandel. And I want to speak to you a little bit today about a project that looks at the problem of online abuse. Specifically, I want to discuss how the integration and use of online spaces and digital tools over the last decade has heightened scholars visibility online, opening them up to new experiences of online abuse. Online spaces and tools have become increasingly important in scholars lives for things like research collaboration and knowledge mobilization. At the same time, the online abuse that emerges from online spaces is known to have negative and often severe impacts. For these reasons, colleges and universities must recognize the risks associated with online visibility and have policies in place that address them. We analyze 41 workplace policies that deal with harassment and discrimination from Canadian universities and colleges to understand what these institutions proposed to do about online abuse. To do this work we searched the public websites of 232 universities and colleges across Canada for their harassment policies. We were able to identify 129 policies, and of those 129 we found that only 41 of the policies addressed online abuse. In the beginning in Vivo 12 we coded the 41 policies to identify how exactly university and college community members might be protected from online abuse within the context of their institutions policies. Two of the most salient problems we found across the 41 policies focus on the scope of the policy, specifically who the policies apply to and where the policies apply. The institution emerges from the policies main objective to protect members of the university community from other members of the same institution. While this stipulation is reasonable in the context of a college or community, it precludes perpetrators of online abuse and harassment that are unknown anonymous or unrelated to the institutional community. This focus poses serious problems because the online abuse that academics receive often involves people outside of or unknown to the university community. The second limitation comes from where policies apply. In the policies we examined the ones that define their scope in relation to place typically limit covered instances of abuse to places such as sanctioned university events and events directly related to work and study. This provision ignores the fact that the abuse scholars receive online is not always formally tied to institutional places and formal academic duties. So defining harassment policies in terms of university personnel or spaces excludes acts of online abuse that occur outside of institutionally sanctioned platforms such as social media, and outside formally recognized academic labor, like appearing on podcasts on TV or radio, and by individuals who are not members of the institutions community, which are most of the people we interact with in online spaces. These limitations demonstrate that the structure of institutional harassment policies leave scholars unprotected by institutions when they experience online abuse. This begs the question, where do we turn when as academics we experience online abuse. Thank you so much for tuning in today and watching, please reach out to us or leave any questions or comments you have in the comment section below. Thank you and cheers.


is dedicating them back again to show you how to win and get dividends. If you're not subscribed do me a favor and smash that subscribing. In today's video I learned some very valuable lessons on an app that I use called Dolly and I want to take you guys along with me so we can get busy and move kind of swiftly. And one more thing, RIP Nipsey. The first order pickup location is Costco. We are picking up a shed. We're going to drive 1.7 miles and receive a payment of $42. Y'all know I got my game from a scholar. When they hear me they holla let's go. Just like that we are here at Costco. Get it popping like Crisco. I have to go in here. I don't know where I'm supposed to go. How you doing sir? I'm gonna have to pick up an order for a customer. It's a shed. Should I go to the service desk or where should I go? Oh right here? All right. Thank you very much sir. Excuse me sir. Do you work here? Yeah. I'm how you doing? I have an order to pick up for a guy named David R. It's a shed. Is it for a... Here's a receipt for it. Oh okay. David R saw the shed. Let me check. Did he put you under the contact list by chance or... I have no idea. This came through an app called Dolly.  Oh thank you. Yeah app called Dolly. I'm just supposed to pick it up and take it to his house. You guys supposed to help me load it and then I'm supposed to take it to his house. Oh okay. Yeah we'll see if we're just supervisors. We have to have a manager okay because we generally need a physical receipt because the thing is with that if let's say that guy... Anybody could just come in here and just... Because that guy could come back with that original receipt and say hey I never picked up my shed and he ain't getting two sheds. I don't know what he's doing. And then yeah you never know. You never know. You never know what people do down there. That's why I just want to make sure. You gotta make sure you cover yourself. I understand. Okay so um he said that I just have to call the member just to confirm it. Confirm it. And then once he releases it then yeah we'll do it. Okay. One eternity later. Awesome. We're good to go? Yeah. Yeah we're good to go. Alrighty thank you very much. It's okay. You guys have to do what you gotta do. And just like that it's finally time to hit the road and get our pockets on the floor. Let's go. And then it's my sister's account choose and then they're questioning me. You're not on the account. I'm like uh. And then it says Seattle Washington so he's like they don't make sense. Yeah. So it's a whole thing. Seattle yes. Yeah. I refuse to get my own uh.  Yeah right? I'm like. Are we taking this somewhere because I have a four-wheel cart? You sure? You sure it's not gonna fall or anything? No. I'm gonna place it down with this way. Okay. You got it?  You got to. It's been a while man. It's been a while. Right here's fine? Yeah it's perfect. Sure? Yeah. Hey and I gotta push it for you. Can I put a tip on the thing for you? Yes I think you can put a tip on there. Yeah. Alright. I'm gonna also give you my car. Just give us a car. Oh sweet. Yeah. Yeah that always takes me in. Yes sir. Order number two. Guess what it's time to do. Get busy and I'm glad you guys are with me. Now we are picking up a barbecue grill from a customer house and we're taking it to another person's house. We're gonna drive nine miles and receive a payment of 93 mo dollars. It's time for us to go out here and pop our colorless gold. Hello. How you doing? I'm here to pick up the barbecue grill. Oh yeah it's in the back. I'll meet you in the back. Yes okay. Alright thank you. This is a beautiful house. Oh I appreciate that. You're welcome. This is it here? Okay. I don't know how to zoom in. Okay no problem. I'm going to get the ramp everything ready so just like that.  I'm talking about finally. It was don't keep critical. We got it done. Now we're about to go get these funds. Just like that. It's time to hit the wall and get our pockets on the floor. Let's go. How's it going? It's going great. We made it. I love it. This thing is extremely heavy but we figured it out. That's what I was, there's not really a spot to put like you could say it's 250 pounds but butchie. It's all up 250 pounds. Yep so what we had to do was luckily I had to ramp today so we were able to get it up but it was, it's okay it's like a little bit but we got it.  I gotta go up. I gotta go up a little bit. These wheels are trying to fight us too. Yeah it feels good. I mean it's a grill right it's like put it in one spot and then you don't move it anymore. Okay where would you like it sir? So this is the challenge here is this is here now and we need to get behind it. I'm talking about it was critical. I just wanted to know it was critical. Super critical. So we get to the drop off location right? Everything going okay. He's like yeah I need to move the grill behind this dumpster around the back of the house. Now as you guys can see put the picture right there. Y'all see that huge dumpster? Guess what? He said his house flooded and they had to replace everything in there so they had that dumpster right there. So guess what we got to do? We have to carry this barbecue grill around the dumpster into the back of the house and the barbecue grills weigh 254 pounds when playing around. So this is what we had to do baby. We literally had to use the ramp. First we had to use the ramp to get the uh the the barbecue grill inside the van when we picked it up at the pickup location. Then when we got back we had to drag that joint down on the ramp right?  It was terrible baby. That joint is super heavy and the customer really won't happen like that. Honestly I should have just said we can't do it. It's never right there but we did get paid 93 dollars through that order so we went out there and got an order. Now we have order number three that I know we about to pull up get this cheese and get busy. Order number three pickup location is the customer's house. Now we're going to pick up the item from the customer house which is supposed to be, this is supposed to be baby a small bathroom vanity. We're going to pick it up from the customer house then we're going to drop it off to floor in the corner get this money we would not ignore. The drive mileage is 2.6 miles and we'll make a payment of 41 Moe singles. Hey we are here trying to mingle let's go. How many they said six? One, two, three, four. Oh yeah. How you doing sir? Excuse me um this the app doesn't say any stairs. It has to be approved on the app for stairs. I didn't do it. Okay see if it if it was stairs it's right here says hardware it has hardware for it but it doesn't say any stairs. If anything I completely forgot about the stairs here. Okay yeah we have to no over there not there just here but we have to change it in the app so um I have to adjust it right here and then you have to approve it. Yeah you say how many stairs there are? Yeah so well anything over six stairs is considered a flight of stairs so if it's under six then it's actually seven. Also be very careful not to even in the van if this breaks at all because of dropping or whatever there won't accept it back. Okay no problem what's in the box so it should be still in the box we're just gonna put it in the van and strap it down and then return it don't take it off the truck. So I'm gonna meet you there okay I'm gonna come and drive there meet you there. It's like that it's time to strap this jar in I'm telling you that jargon was super critical that jargon was heavy I'm just gonna say this I made a huge mistake taking this award I'm just gonna keep be honest with you guys was not the greatest of order we're gonna talk about it later and don't be a hater let's go. I hope you guys enjoyed the content now I'm gonna tell you guys what I learned from this from this lesson. Now first off all of these orders was low key critical the first order it wasn't bad but the customer it was the store when I went in Costco they did not know what was going on they'd had the customer phone number written on the receipt but the phone number did not match the phone number they had in the system and they couldn't release the order to me so it was a whole thing I literally was in there for 20 minutes that's the first one number two I told you guys how we had to walk use a ramp to walk that stuff around that big old dumpster and carry it to the back of house that was critical I'm talking about we both all three of us out there sweating bullets baby and then number three I really messed up on this order baby I did get them to add an extra uh fighter stairs onto the dolly and I'll tell you guys that I just found out when you add a fight upstairs on the dolly just so you guys know six stairs or more is considered a flight so if it's five stairs it's not considered a fight of stairs if there's six stairs it's considered a fight of stairs this customer had seven stairs but guess what dolly only pays you four more dollars to pick that joint up and go down the stairs with it it definitely is not worth it also this is where I really messed up it this item said it was a small item a small vanity but this one was pretty big it weighed a hundred and ninety four pounds and it also had a marble top on it so it's on this extra big and it was extra heavy baby so what I should have did was instead of worrying about the stairs worry about the stairs and the item if I would have went in the app and put it in as an extra large item because that's what it is it says an extra item is something that needs equipment to carry we needed to dolly to carry that joint to roll it into the van so we get these bands we will receive a extra thirty two more dollars instead of that forty one dollars so we made like seventy three dollars instead of forty one instead of forty one can you do some forty one instead of forty one dollars so learn from my mistakes be great and don't hate and don't be fake I hope you guys enjoyed this video again if you're not subscribed make sure you smile subscribe and give me a thumbs up and do not skip those ads like it tomorrow if that's this bad why we can make this bad 2023 it's big bags easy we'll keep on giving my reason I'll see you guys on the next one be going be going be flowing you already know it did he k and I'm on my way