Next award is the SCS Teaching Award, for which we are going to have our sponsors from Lutron electronics are here to help give this. And this is the Joel and Ruth Spira Teaching Award. Okay, you guys know what you're doing. Very good. So this award was created to recognize professors who excel in the classroom. And it is sponsored by Lutron, founded by Joel Spira. And we have two representatives here, and thank you very much. Do you want to take the mic? Yes, thank you. Thank you. Good afternoon, everyone. I want to... My name is Walt Saharchuk, and I want to introduce a colleague of mine. This is Matt Breenberger, class of 93. He was the second class of computer science here at Carnegie Mellon. Great. So give him a little round of applause. So the Ruth and Joel Spira Excellence in Teaching Award was created by Lutron founders to recognize professors who excel in the classroom by helping students learn, understand, and apply the fundamentals of engineering. Mr. Spira felt passionately that hiring graduates with a keen understanding of engineering fundamentals was key to Lutron's long-term success. And this year marks the fifth year of the Carnegie Mellon School of Computer Science Experience Excellence in Teaching Awards. And this year's recipient is Andy Pavlo. Andy? Once you get the award, congratulations. No. Stay here. We have more. Andy has made major strides in revamping and expanding Carnegie Mellon's database course offerings. The revised database application course were ranked by the students as very good to excellent. In the spring of 2017, Andy restarted the Graduate Database Systems course, which now delves more deeply into how databases are designed internally rather than looking at databases from the user perspective. In its first semester, Andy received a nearly perfect teaching score from just about the entire class, along with a nearly perfect score for the course material. The secret's out. These results were so impressive that he made an undergraduate version of the course, which has also been well received by CMU students. Andy has taken the database course offerings and re-energized them, which has made the students seriously interested in learning more about databases. Many students comment about his teaching. Andy Pavlo has such a knack of explaining things so clearly I didn't realize just how deeply I was learning the material. Here's some other quotes from students. Andy is the coolest professor I've ever had, and you can really feel his passion for databases. He is one of the best professors I've ever met at CMU. He explained the course content so clear in the lecture, and he cares about every student. I appreciate that so much. Andy is definitely a Myers-Briggs ESTJ, Extraverted Sensing, Thinking, and Judging. Isn't it nice to know that the students are cycle analyzing him? That's good. Otherwise, he would not have such a tremendous memory reservoir of random facts and details about all kinds of database management systems out there. Because of this, the lectures are more about what is, and not so much about what if and what could be. Andy talks about everything in a definite, factual manner, making the concepts and techniques exceedingly clear. In addition to his courses, Andy is also a supporter of diversity computing, attending CMU diversity receptions to meet perspective, underrepresented students, and get them excited about attending Carnegie Mellon. On behalf of Lutron and the Spearer family, it is my pleasure to present the Ruth and Joel Spearer Excellent Teaching Award to Andy Pavlo. Congratulations. Thank you so much.


A question from one of our supporters, well it wasn't a question, he sponsored the show. He wanted to sponsor a show on cultural intelligence. We started this discussion a few weeks ago, but we never really got into it because we got distracted by a bunch of other things. Sam, thank you for the support, really appreciate it. So let's jump in on cultural intelligence and then after we finish our discussion we'll wrap up with some talk about abortion and of course I will be answering your super chat question. So what is cultural intelligence? I mean cultural intelligence is a popular common term out there, it's related to emotional intelligence, emotional intelligence, is the ability of a human being to sense or to get a sense, to understand and respond to the emotions being projected by people on the other side. So some people are very sensitive to the emotional state the person they are talking to is in and that they can adjust how they present material, how they present context to that person given that they sense the particular emotional state. I'm very, I'm not very good at I guess this what they call the emotional, now let me just say none of this is intelligence, right? Intelligence is how you respond. I don't know exactly what it is, this is your ability to tell from body language, from the way somebody talks, from the way they move, from the way they express themselves. They're emotional states and I don't know, I mean that doesn't strike me as related to one's ability to do calculus or one's ability to strategize or think strategically. So I don't really have a good sense of where exactly that comes from. Some people are very good at this and some people are not. Some people are very good at it, but then don't know how to respond to it. Some people are very good at it and know how to respond to it. The response site is where there's more cognition. Thank you Jennifer, really appreciate that. And cultural intelligence is similar in the sense that some people are very good or learn to be good at picking up on cultural cues on adapting to that culture or finding ways to deal with the culture in a productive win-win kind of ability or attitude. Now, cultural here does not just mean different cultures geographically, that is different countries with different cultures. It could also mean different, for example, corporate cultures and a lot of this cultural intelligence has to do with business. I mean it almost all is related to the issue of business. Some of it's diplomacy, but it's not just diplomacy. It's one's ability to adapt to maybe a different culture than you used to in business. Company A takes over company B and the two companies might have a completely different way of dealing with issues. For example, company A, one company might be very open very aggressive, very ambitious, encourage that in people, encourage that in the employees. Another culture might be less open. Criticizing other people is less acceptable, more polite. It could be that one culture compensates sales based on the number of deals, the number of dollars you bring in. Another culture might not give a lot of bonuses, but emphasize more salary. I mean there might be a lot of different ways in which, depending on seniors' managers' preferences, thank you Watchtek. I really appreciate the support. Depending on senior managers and CEO and people at the top's attitudes and preferences, they might have just developed different. I mean a simple one might be one company, I don't know Silicon Valley company, might be casual all week. And another company, let's say New York might not even have casual fighters. That is, it's suit and tie every single day. I think there are fewer and fewer such companies in the world today suit and tie, but they are. And if company A buys company B, one of the challenges, indeed one of the major challenges in being successful in a merger is being able to integrate cultures, in being able to understand the cultural differences, understand people's different expectations, find ways to communicate, bridge them and bring them all together. One of Freeman says IBM, IBM used to have a culture of was a blue suit, white tie, sorry, blue suit, white shirt, black tie or red tie, I can't remember. But that used to be, if you went back to the 60s and 70s and 80s, that was the stick at IBM. And IBM almost went back up to the 1980s and it had to change. And it had to change many things about the way it did business. It basically completely changed its business model instead of being primarily a producer of hardware. It became a service company, became a consulting and service IT company. And the dress of people changed in order to be able to attract talent, in order to be able to fit into the environment of Silicon Valley, it completely changed. It brought in a CEO, if I remember right, didn't it bring in a CEO from the tobacco industry? And he completely saved IBM. I mean, he completely did a streak about face, completely changed the business model and saved IBM basically from extinction. You could have a company by, I mean, Scott said something about walking, she could buy a company that has a woke culture where everybody talks politics and all day long and they're all the same way. And if you bought a company like that, it would be very difficult. One of the reasons I think that kind of woke culture actually reduces the value of these companies, makes them less appealing to suit us, to people who want to buy them. An American company, buying a British company, not only do you have these kind of attitudes, for example, with regard to dress, but you would have all kinds of differences the way people greet each other. Americans are much more friendly, emotional, capable of hugging the coworkers. The Brits don't do that. It seems strange, it seems weird. On the other hand, the French hug you and kiss you on both cheeks. And some cultures hug you and kiss you on three cheeks, one, two, and then the cheek again, so there's no actual three cheeks. And it's kind of strange and comfortable, weird. So this idea that culture matters in this sense, and culture here, I mean, I mean, not in the sense of high culture, not in the sense of the achievements of a particular people or a particular country, but here, I mean the behaviors, the mannerisms, the habits of a particular group of people. It could be within a business. The way in which a business is run. And you know, you could say as a rationalist objectivist would say, no, no, no, no, no. There's only one truth. There's only one way to run a company. There's only one appropriate rational object, whatever culture, but that's just not true. People are different. People relate to one another different. People are incentivized in different ways and sometimes the founder of a company hires people to fit into a particular vision that he has of a particular culture that he wants to establish. And that you might have two different companies with two different cultures, because they have two different personalities heading them, and they could both be unbelievably successful. So there is no cultural issues. No, Scott, that was not what I was arguing with Mackie, really weird. So cultures are different because the people who start companies and the people who run companies and the people who manage companies are different. They have different attitudes, different emphases, different focuses, different sets of values.  That's their purpose. That's their reason for existence. That's what I was arguing with Mackie about, Scott. But how they get there, they have a variety of different paths on how to get there.  That is true, but there are lots of different ways to do that. And the best way to do that at the end of the day, at the end of the day, the God comments sometimes distract me. Having a culture that is appropriate to senior managers' values and focus is going to be wealth maximizing, is going to drive to maximize shareholder wealth. Having a culture that is inappropriate to managers is going to do the opposite. So, culture matters. And when there are cultural clashes, they matter. Most mergers, most large mergers fail. Most mergers land up being money losing propositions. And the reason for that is not that the synergies on paper don't actually exist. They usually do. It usually has to do with the inability to integrate the two businesses, not in theory, not from the perspective of being able to see how the businesses fit and how they reinforce each other. But almost all business mergers fail because the inability to integrate cultures, because one culture rejects the other, because people can't work well together, because they don't understand each other, they can't communicate with one another, because they resent one another for a variety of reasons, because the incentive structures are not aligned or people are used to different incentive structures. And you can see, you can go back into the history of mergers and acquisitions, and you can see how few mergers have been overwhelming successes, very few, very, very few. And that's reflected often in stock prices, stock prices. Now, this is true even within the same country. But it's also true, even more so true across borders. One of the reasons companies often don't buy companies overseas, but rather subcontract with companies overseas, is because it's much easier to let, I don't know, Chinese managers manage Chinese people, create the right kind of culture and incentives for them. Same with Japanese or Koreans or Germans or British or French. But we live in a world which is becoming more and more and more connected, or at least was until recently. And connection is incredibly powerful. The more we're connected, the more leverage there is. The more there is the potential for good ideas to arise. The more minds there are to bounce ideas off. The more people there are to innovate, to take ideas to the next step, to collaborate with. I mean, the globe has opened up for collaboration, for trade, for innovation, for progress, for ingenuity. So connection, the ability to communicate, the ability to work with people all over the world is a massive competitive advantage today. Supply chains, you know, the iPhone, this iPhone, is made of, I can't remember, I think it's 60 something different countries. Companies in different countries produce stuff that goes into this. There's certain minerals from Africa, there's chips from Taiwan and Korea, stuff from China, technologies from Europe, all are integrated because of the world in which we live, which is amazingly integrated, integrated through trade, but integrated through the internet, integrated through telecommunications. And therefore, we have this amazing ability to leverage the resources of people all over the world. People will sometimes never meet, often will never meet. And as a consequence, to be successful in business requires more and more communication with, cutting deals with, cooperating with, working with people from, you know, all over the world. People will have vastly different ways of doing things than we do. Just, you know, different habits, different expressions, different ways of dealing with the world. So it's important. It's important to figure out, it's important to figure out how to deal with that. If you come out there, if you approach it as, there's only one way to do things, it's my way. And I'm gonna ignore the other person's culture. You're just not gonna get very far. You're not gonna be successful. You're not gonna be able to take advantage of the immense potential that exists because of connection, because of the connectivity, the global connectivity that exists today. If you're offended by the way other people behave, even when it's not meant to offend, it just, it doesn't make, again, you have a competitive, a comparative disadvantage. So being able to work across cultures, being able to communicate across cultures, being able to find common ground with people who are very different than you, is a comparative advantage in business. Now, it might ultimately be that your way is the right way. But the way to, the way to move forward with that is to teach people. It's educate people. It's to help them see that their ways are wrong. So this idea of being able to communicate and collaborate is not some form of multiculturalism that asserts that all cultures are equal. All cultures are not equal. Some cultures are better. Some cultures are worse. Certainly from the perspective of human flourishing, but also in business. Some CEOs are brilliant at creating profitable cultures, cultures that produce results, cultures that are creative, cultures that promote innovation, entrepreneurship, promote making money, and others are not. Some cultures are around the world, promote honesty and integrity and make a deal on a handshake. Other cultures, you know that the most loyal contract will not help you. They're going to take you for all you want. And in all those cases, you need to know that.  And a lot of people get super insulted. But they're just, this is how, this is how we grow up. We argue. We tell people what we think. We actually debate. We don't whitewash. We don't say when we don't like something. You know Americans deal with not wanting something when they don't like something. What do Americans say when they don't like something? What do you guys think? What do Americans typically say in a conversation when they were, you ask them what do you think and they don't really like it? What do they say? Do you usually say it's interesting? Whenever an American says something's interesting, you know, it's not. Not always, but often.  It's nonsense. It's no good. Other cultures won't say anything. Yeah, interesting is ambiguous, purposefully ambiguous. They won't tell you because they don't want to say a negative. So you just say something ambiguous. They don't want to lie in saying something positive when they think it's negative. So they say something ambiguous. Other cultures don't. So different cultures deal with that differently. And it's important for you to know because say you're not surprised. Say you know what to expect. Say you know whether you're getting the truth from somebody. And a lot of that is going to be dictated by the cultural norms where they live. You know, Americans are super warm and they go to Scandinavia and everybody's super cold.  They don't agree with me. They don't know. It's just the way they are. Just the way they are. Thanks, Kevin. Really appreciate it. In, you know, there's a huge difference, for example, between how the Japanese deal with things and how the Chinese deal with it. Chinese are much more like Israelis.  The Japanese are much more, they're polite. They'll listen. They'll, and then they'll tell you in a very polite way what they actually think. Jennifer asks, can there be a way to say it sucks in a tactful way? Yeah. I mean, there's always a way to say it. But sometimes, you know, you also have to consider how important is tack to you. So I don't think it's very good. It doesn't serve the purpose that we intended for it. I just don't see it. What's the point of this exact? I don't know. It depends on the exact thing. But yes, there's always a way.  Some, again, some people in some cultures don't use that, but then you have to see it not as being rude, not as them attacking you. First of all, generally in life, you have to be able to separate criticism from you. Somebody's criticizing a work, a thing, even something you did doesn't mean they're criticizing you. Right? You might be wrong. I've said this before. My attitude towards criticism is if you criticize me, if you're right, thank you. And if you're wrong, that's your problem. Why is it mine?  Casperanza, thank you. Really appreciate the support. Wow. We've got somebody here in Batikal. He says, I love your work. I used to be a Vash guy. Yes. Made my day. Thank you. That's terrific. We've converted somebody from the other side. That's great. That's what we do this for. So I don't like the term cultural intelligence, but it's capturing something real. I've also seen different websites. They give different tools and given criteria. I mean, my view is you've got to read up a little bit on a culture before you engage with it. You've got to learn it and then you've got to be sensitive when you're there to how they're behaving and what they're doing. I don't think it's helpful to categorize them all, to put them into boxes and to pretend. You've got to be you. And some of us are better at adapting. Some of us are not as good, but you've got to at least make an effort to understand what is going on on the other side, to understand the extent of which what they're saying, you understand what it is exactly that they're saying, what message they're actually conveying to you. So it's important to be objective. That is, look at the facts within the context of the situation, in the context of where you are, who you're talking to.  And that's good to do as a tourist as well, because you only encounter all kinds of things, you want to understand it. And yeah, you can judge them. You can say, in China, corruption is rampant. And partially it's because of the revolution out of communism. Partially it's because it's a culture of pragmatism.  As long as I get my aim, everything's allowed. Don't let moral ideals stop you from getting where you want to be. So for them, lying, cheating, and corruption can be legit. And they do it. And you have to be aware of that. And you have to deal with it and find ways to protect yourself from it. And do it without being, you know, what is it? Just treating them as bromides, because they're going to be exceptions. They're obviously exceptions. Successful businessmen in China don't lie, steal, and cheat. It doesn't work long term, even in China. So you have to be able to adapt. You have to be willing to adapt, able to adapt, sensitive to the need to adapt, sensitive to the circumstances, the context in which you find yourself.  When they say, when they want to say yes, they shake their head. And it's like, it's completely disorient. Because they're saying yes, but they're doing no with their head. And when they go like this, it might mean no, it might mean it's just very confusing. And if you're just encountering that, you don't know what to expect, and you're just going there for the first time and trying to do business there, it's very confusing. This is what I'd suggest to young people entering business. You've got to be sensitive to the culture of the place where you're working. What are the expectations? What do they want from you? And if you find it rational, you adapt. If you find it irrational, you probably should leave. But adapt. Fit in. Fit in, I mean, within the culture in terms of that's how you be successful in the organization. If it's a culture that is bad, then leave. Don't stay in a business where the culture is terrible.  It'll destroy you from the inside. It will make it impossible for you to be successful. And as you interact with other companies, don't assume they have the same culture you do. Be adaptable. Be mindful of the fact that other people have different ways of doing things. And that is certainly true as you venture overseas. Be mindful. Educate yourself. Think. And be alert. Be alert to differences. Be alert to signals that they might not be understanding you right, that you might have to say it differently or again, overpeach yourself. So this idea of cultural intelligence, why, well, again, I don't like to determine why I think a lot of the articles I've read about it seem to be a little shallow and maybe, or not shallow, they consultants, business consultants like to put things in little boxes. What is it? Maya's breaks. Everything has to be in a box. You have four characteristics. Everything about you is defined by four characteristics. And we just fit you into these four characteristics. So it's definitely necessary to be sensitive to these things. What we need today, what I call the new intellectual would be any man or woman who is willing to think. Meaning any man or woman who knows that man's life must be guided by reason, by the intellect, not by feelings, wishes, whims or mystic revelations. Any man or woman who values his life and who does not want to give in to today's cult of despair, cynicism and impotence, and does not intend to give up the world to the dark ages and to the role of the collectivist roads. All right. Before we go on, reminder, please like the show. We've got 163 live listeners right now. 30 likes. That should be at least 100. I think at least 100 of you actually like the show.  But at least the people who are liking it, I want to see a thumbs up. There you go. Start liking it. I want to see that go to 100. All it takes is a click of a click of a thing, whether you're looking at this. And you know the likes matter. It's not an issue of my ego. It's an issue of the algorithm. The more you like something, the more the algorithm likes it. So, you know, and if you don't like the show, give it a thumbs down. Let's see your actual views being reflected in the likes. But if you like it, don't just sit there, help get the show promoted. Of course, you should also share and you can support the show at your own book show dot com slash support on Patreon or subscribe star or locals and show your support for all for the work for the value. Hopefully you're receiving from this.  So, yes, like, share, subscribe, support, like share, subscribe, support. There you go. Easy. Do one, all of those, please.


It happened so fast. I didn't hear a thing. I saw him face down, just floating there. Every year, one of every five people who play in the pools are children younger than 14 years old. I started doing CPR. And look at him now. Pay attention. Be cautious of where your children are. Listen.


Good morning everyone. Good morning everybody and welcome to slash It's really hard to follow Stage about psychedelics. They're talking about data So I'm Jay does I am the president and founder and partner of sapphire ventures and We have been investing in data for a long time all the way from my sequel onwards And I wanted to you know have to the issues our CEO of touch spot joining me on this conversation Thank you Jay, and thank you everyone for joining us. My name is Sudeesh Nair. I'm the CEO of touch spot like Jay said Only in Finland. I think you start with magic mushrooms and mpna and then follow with the data analytics So I'm glad that we started with it. Now. Let's get into analytics So Sudeesh, you know, we have an investing in data for I don't know how long I've been invested in my sequel Altrax Dasper soft looker How come the data dilemma still hasn't been solved like why do we need touch spots though because we are not interested in solving We are interested in making money in data. I am partly joking, but partly serious in the sense that analytics Should go away. I mean I really mean that I am Speaking as a CEO of data analytics company Analytics has become too much about analytics and not enough about outcomes Like why are we doing analytics? I'll give you a quick example Like maybe 15 years ago or 10 years ago when you were taking a taxi You had no idea what time will you get there and how much it's going to cost, right? Are there anything more important any other KPIs more important for a taxi commuter than Estimated time of arrival and the money in that's going to cost you know Today we take it for granted that it happens. Why is that happening analytics? Yeah, right? It is real-time traffic. It is weather. It's the location. All of those things are coming together But what do you not think about? analytics In the world of business though, it's too far So there's too much money invested in doing analytics as opposed to focusing on outcomes And it's also all about dashboards, right? It is not about taking actions like what I see every time you talk to a Startup and he has to be data-driven, but then they don't know how do you use the data? And what does it mean to be data-driven, right?  That's how it works Yeah, so what happens is the status quo of analytics team getting paid to make analytics more complex works for them business leaders to make decisions based on gut instinct and Sort of anecdotes it works, you know, it works for them So somewhere in between the status quo is maintained I don't think that is going to be the future and in a generative AI and all the New-age workforce that's coming in will change it, but that's currently the status So what have you done differently, right? I know I've been on the journey with you like the second time You know with Nutanix and their thought spot. How do you use data to drive your business? Yeah, look, I think I I'm a believer that Experience matters. I believe that human experience our knowledge is extremely important It's like Jeff Bezos said if data and anecdotes are a conflicting I will bet on Experience and the anecdotes. However, it is important to make sure that you are able to test the thesis That you believe you know is right to against data Yeah, and what is happening is that the lack of expressibility standing in the way that's I speak business. I speak English But I don't speak let's say sequel or I don't speak data schema Yeah, so there is this this this chasm between people who speak data and people who speak business a thought spot What we believe is that if you can bridge it a forward-looking marketing specialist will be able to test the thesis of Money that I'm spending on a campaign. Is it really working or not and answer is never going to be from the first Question that you're asking it's almost always the 15th question and dashboards are like poor poor way of doing the next level of Questioning right that's why you know we fundamentally believes that dashboards should just go away and die No, I love it like because I think in the board meetings You almost use the hotspot as a way to describe the business to all the investors and you know as we are talking about what to do So maybe you can talk a little bit about hotspot like how are you changing analytics and why you know It's very different than what we have seen previously. So that the topic of today's session is Noise and signal right there is so much data Everyone is generating data. We are all sitting here and generating data and the data is captured and processed the question is how hard is it becoming to really make sense of it and Without talking about hotspot I can tell you the hotspot mission in the sense that there is a book that a person a professor in Toronto named Shakil Chaudhary. He wrote about a topic or deep diversity and It is important to bring the connection here because human brain Let's say you are crossing a busy street in a loud loud city like New York or London At any given point in time apparently 11 million bits of information is coming to your five sensory input that we have 11 million of those so how does the brain process 11 million the answer is it can't so what it does is it Quickly figures out how to chop and slice it into pieces and then focus on approximately 40 to 50 So the most important ones if there is a hot dog vendor smell coming to my nose But there's a yellow cab coming to hit me. Obviously. I'm focusing on the yellow cab the reason why this is important for Diversities that you know, that is why we are biased against people who don't look like us in the world of analytics the ability for people to communicate freely that is the ability to connect all the sensory input Process them in the brain and then act. That's what human machine is doing in the new era of generative AI We are doing this. We are improving those three things. So number one Computing power is exponentially increasing and number two of the energy, you know There is so much more energy creation that is happening and the most important thing that change with generative AI is that we are Fundamentally changing the input output. Can I express through natural language? Yeah, not just sequel sequel is so structured and so limited Can I use natural language to express my desires to a system? The system comes to me and says so this here is what you need to know Yeah, but here is what you asked for yeah, and can I start a journey of exploration with no tax on your curiosity? That is what thought sport is trying to do for business use cases Yeah, and you know it's always been the case that with analytics You only looked at the data that was there and tell you what happened, right? It was never the case where it would be predicting Okay, what is this data actually telling you because then you would go and kind of go to a data scientist or somebody else to do That right? Yeah, but with now with your platform I think it's kind of this whole evolution where you can ask the question Okay, what did the data say? Why is my sales going down over here? But then you can also say okay, what is my sales going to be in next year look? I think I'm very passionate about the idea of fundamentally making analytics invisible and outcomes visible and I want you know that I would like all of you to go sell and buy thought spot wherever you are But that's not the primary point if you are interested two of my colleagues are there Lena and Penelope they can help you what I believe passionately is that we need to move away from the idea of Asking questions that are pointed Every day you don't want cul-de-sac. You don't want like Alice that doesn't go anywhere. You want to start an explorative journey Every time you're asking a what happened question. What you're really asking for is why it happened Like how many customers churned how many customers left me today? Why are you asking that because I want to know what is causing them to turn? How can I make it better? Right? So going from what happened to why it happened to what will happen?  I don't know what will happen. I don't like what is going to happen Let me change what will happen for the better So this transition the journey from what happened to why it happened to what will happen to what if I could change? cannot be be couple from the business now because Data people have the inside they have the left brain Business has the right brain. They have the knowledge if these two brains are Hemispheres are not talking to each other You can't go from what happened to why it happened to what will to what if and that is why? Generative AI is a fundamental game-changer because they all can speak that's right the language of English or German or you know finish And you can also analyze all the data in the way we actually Talk about things right like you can have you know come up with a dashboard if you want go with a pie chart But it can also give you back the results Yeah, in actual text that people can understand and not have to decide for the data that's being shown up I mean when I say you know dashboards should die I really mean that in a positive in the sense that like we were talking in the backstage there Sometimes in the world of business it is so hard to ask the right question like the data has it the like How many so there is a customer? Schneider electric I really like this story. It's like over 100, you know plus countries extremely large workforce imagine if a Country like Indonesia is not performing well Whatever let's say employee retention as an example Hypothetically speaking. Let's say they're not doing well in the boardroom. You make decisions at an aggregate level Oh, Indonesia is not performing well Brazil is let's just focus on Brazil However, Indonesia is not monolith there could be 100 teams and maybe there is this one hiring manager and She's doing a bang-up job. She's hiring well. She's recruiting well motivating well and guess what she's punished because Indonesia is not doing well decision-making almost always happens in aggregates And that's what is wrong with the old bi and analytics because ideally what you want is when you ask Why is Indonesia not performing well the system should answer and should say hey, did you know though? There is this young lady who's doing an amazing job of recruiting motivating and delivering value and that noise And signal ratio that is automatically amplified is only possible if machine learning works and We haven't had that in our system because like I said it works for the machine learning teams to go Crunch the numbers without ever knowing why am I doing it? I know Python, but I don't speak retention. That's right So a platform approach is required here I don't know if ThoughtSpot is going to be that company But I can guarantee you that the way we stop using ultra vista maps To moving Google Maps just like the way we go from yellow caps to Uber. This is a one-way street We will not be doing analytics the way we used to well. I hope really hope that thought spot is the one That does it for us Maybe talk a little bit about Genitive AI, right? I think thought spot was started kind of before Genitive AI really took hold But it had a lot of you know vision was the same thing that hey We want to make analytics more search based like what people are used to How has Genitive AI kind of changed the product and how you're looking at you know as you go in the next four Five years as thought spot evolves If you have young children you sort of know that zero to two It's kind of a difficult time because they don't speak You know they are almost always like angry or cranky and there's one of three things going on like hungry sleepy or want a poop Right, and you're just guessing But something magical happens after two for most children once they start speaking Their ability to learn just goes through the roof, right? From the very early civilization People learn through Speaking even before words written people huddle around the fire Elders will tell the stories don't make houses here because there is going to be flood coming they will draw pictures, right? We are who we are because we learn Constantly and we learn constantly because of our ability to speak naturally We're sitting here around you can watch this video on YouTube later, but this is special you are here You can see me you can see my pauses the way we are communicating with each other These things are adding color and texture to the conversation now think about how we communicate with the computer We computer with computer you don't speak English you speak code Forget about code the keyboard is so stupid that it is ASDF I mean just think about how archaic it is, but that we ever assumed like that's how it should be Just like ten years ago We used to think that the only way to get a cab would be to have a totally random Transaction to happen I come out stand in a random corner raise my hand a random taxi driver gets up in the morning drives around And these rule random events happen and somehow a commercial transaction happens and we used to take it for granted Yeah, that's how taxis are today. We don't we don't get out of here without knowing the rating of the What kind of car? Where is it? What time will I get there? How much it's going to cost? We take it for granted. I believe Generative AI forget the current noise. Okay, the the people and the drama and all of that This is all going to settle there is hype and all of that but at the core of it Generative AI is going to open up the bandwidth Where we will think that just like pointing and clicking as SDF thing is going to be archaic We can communicate with an intelligent system. Yeah, our needs aspirations likes dislikes Discomfort and it can come back to you And if we can enable that there will be magical use cases happening and just like that kid Who's growing up faster and learning after two we might be able to build amazing intelligent systems Yeah, I think like the way we interact with applications are going to change completely It's all going to be voice driven or text driven the way we talk to each other right applications should be like that right because intelligent system Why don't you tell me a little bit about this? I don't want to flip it on you But when you look at the noise with this AI plus AGI and numbers versus words Where is the early ecosystem going and what are you making the best? Yeah, so the early ecosystem definitely is all about enabling all our apps and all our products that we are invested in To have an ability to you know have voice enable or you know the kind of conversational enable right But very quickly what conversation kind of goes down to is actually searching for all the product, right? So conversation and search is going to go hand in hand because as soon as you start like you see that with your customers Right, it becomes a knowledge base And it's this intelligent system as you said and people start asking all kinds of questions to it Right because it's so a different way of Interface than when you type because of the type it's very static you can it's one way two way with a conversation You think it's another human being on the other side, so that's dramatically going to change, but I agree with you I think something Revolutionary like a noob or a door-dash build on the generative AI platform is still not out there That is an important point, you know I Thought support I challenge our company We are all were search, but let's just come out of analytics and think about search. Why are we searching? We are searching because we are already lost when you get up in the morning and go to school when you go to work You don't search the direction right because you know it If there is a traffic accident it should come back and say hey don't take the normal route take a different route In the world of analytics while the rest of the world is catching up to search Thought spot I want to move even farther because we have been on search and AI for the last few years as The world is catching up. I want to take it the company thought spot to the next frontier, which is why search If I have the data if I know your intent if I know what your business value priorities are Why can't I come to you and tell you things before you ask me? So we have built this product capability called monitor and our thesis is I want analytics to go away So a lot of you are startup founders. You are building other applications All of your applications have data and data requires analytics and I am pretty sure some of you probably are building analytics My my request is that don't do it focus on one thing that you do well and let us do analytics for you because our Thesis is thought spot should be invisibly accessible through all of your applications in a way That it tells the customer the user that you are going off course And when you are lost you can search so taking proactive monitor of your business KPIs in ways that are bespoke Where it isn't add more noise to your life and then delivering what to why to what if to what will All embedded through other applications where you're not thinking about thought spot just like in uber I don't think about Google Maps even though Google Maps is powering a lot of those in the back end That is the future that I wish to see analytics deliver So maybe talk a little bit about generative AI and the ethics and you know all the people are worried about What do you think of the regulations you think regulations will really stop innovations? Can it actually even regulate what the bad behavior that people are worried about with generative AI? Look, I think this is very early and I am definitely not the foremost expert to speak But my opinion is that in coming here in Europe I don't want to poo poo the idea that government should take a Active part in it because unlike other technologies Fundamental building block that you're building will require some level of ethics and guidelines Particularly when it comes to the weights and biases behind the data that is being trained on For example, just like that two-year-old kid that I talked about if you have a two-year-old kill as a parent You're huge responsibility to shape this little thing into a responsible human being and trust me You can shape that baby into anything that you want You can shape that baby into a loving boy or a loving girl or you can somebody that hates and pisses off everybody because you have that power Why because they're learning from the model that your parents are building at home The same thing applies to the formative days of model right now What we are seeing is very early. There are lots of data There are a lot of models and it is not a good thing that the largest models that the most high-performing models currently are Fully closed sourced when it comes to the weights and biases and the fine-tuning models behind it I don't think that's a fair thing to do I like the fact as much as I'm not a huge meta Facebook when it comes to the products I like what they've done with the llama where everything is available Yeah, will it be the Linux for operating system for this? I don't know but I do think that in this specific thing It is very critical because I mean look at this place, right? I mean I was asking the person was putting makeup on would you have the right shade for me because everyone is blonde here, right? And she said no I have it This is the story wherever you go. We are all somewhat like clickish So when the data that you are going to use impact the whole world It needs to be Intentionally built without biases and that's not something we are there yet. I actually think regulation is you know There has to be some kind of guideline regulation But I also think that that's an opportunity for entrepreneurs to figure out, but will it stifle innovation though? I I don't think so I don't think ever that regulations that I was stifled like you know Look GDPR was something that people are all talking about and saying hey It's going to cause lots of issues But in some ways that has actually not stifled in innovation and people have figured out ways around it to meaning provide Solution that enables you to do GDPR. So yeah, you know, it's always like regulations are never perfect But I think over time if you don't have any regulations You know as you said you're going to train these models to with all the data that you don't know where it's coming from And maybe you know, you don't like to have that kind of models, you know When you're using an application and this is an important point again within ThoughtSpot. We have taken a very Opinionated approach that we use large language models for intent capture only Because they're not good for numbers and analytics So what we have done is to take the intent and use our system to securely and Go on the data model that the customers are running in fact, so they have visibility into it But these things require time Look, there will be a lot of fair lot of noise lot of machine and I know that a lot of investors are jumping in and then learning the Hardware, but I don't know if the door dash and the ubers of this is even founded yet. Yeah, that's right Well, let's turn a little bit about founders you're need right because you build Nutanix 10 billion dollar company took them to billion dollar in sales you're doing that again with ThoughtSpot What are the learning there are lots of startup founders here? What what are the Key thing that you have learned through these actually you had a journey even before Nutanix right a startup journey What have made you so successful? I'll make it so instead of What made me successful is like making all the mistakes and then not making them again But if I were to look back and summarize them into three things number one is Focus It is so important that you do one thing really well and then get paid before you do the next thing Don't I mean founders specifically technical founders have this thing to just keep building and have no respect for sales or GTM Sales is one of the most noble profession there is you are actually solving for value for problems The customers are having which means founders should respect sales and do one thing and do it really well second thing Is don't listen to any of us who have done this before sitting on a stage like this and Pontificating because all of us have been lucky in somewhere other none of us are infallible You know all the way from Elon Musk to Sam alp man's of the world if you don't know them completely as a person This is all a show charade that that you're actually getting to see here So do not trust any of our advices as that something will work for you you will have to do your own thing So that's a number two. I'll become an icon of class in my own mind I don't trust any of these people if I don't know them that we both know each other for the last ten years I'll call him, but I will not listen to someone who's actually on Twitter and the last thing is That it is so important to remember how lucky we are and be grateful for everything that we have because I guarantee you Entrepreneurial journey. It is really shitty There will be days where you just want to say what the heck am I doing this for and why am I doing this to myself and If you want to have the ability to sort of keep moving forward you need to figure out how to be grateful and Trust me if you don't know what you should be grateful. It is because you're not looking this is special and That's my third thing be grateful I think also great founders are always self-aware because they you know no matter what they might Project outside they always know what their weaknesses are and they kind of go in and surround themselves with people That can fill their weaknesses right that that is like for me I think the best founders and the best CEOs are the best You know people who can hire and motivate and kind of get people to kind of do the best they can do I remember when I met Jay early on ten years ago. They were just founding. He's also a founder of the firm and It was my first entrepreneurial journey at Nutanix as well and it is the point that he just made is so important You know as founders sometimes it is important to remember that It is you know as more successful you become you'll be surrounded by people who wants to get something out of you and they Say yes to you and you can be in a bubble and it is nothing worse than being in a bubble So one of the things is make sure you have good family and good Friends who can always bust the bubble and say hey don't get too far out of your comfort zone What's the last thing you want to leave it with the start of founders here? Enjoy enjoy life This is the right there is no destination out there the journey itself is the destination enjoy this this is these are the good old days And I would say just go start companies out there That's the only way you're going to learn how to build and you know scale and create companies of consequence as we call them Talk to ThoughtSport get investment from Sapphire a great great firm. Thank you. Thank you everyone


All right, everybody. My name is Fausto from Cybertree University. Just welcome back, everybody. Just let me get a co-host and get some things up here running. Good to see. All right, there we go. Perfect. Welcome, everyone. My name is Fausto, and I'd like to thank all of you for taking the time to be here at 12 o'clock in the afternoon here in New York. Beautiful weather. I don't know how that beautiful, it's back 40 degrees. But it's been a very mild winter, and how do we benefit from that? It's raining. How could that help? There's a lot of things that are happening. EV stocks are making big moves today. There's a couple of other stocks regarding what's going on in China. The education stocks are moving. There's a lot of good things that are moving, but I want to teach you how to follow them.  You've got to know why these things go up and down. What's making them run? Why? What drives them from going higher? And it all comes down to one thing and one thing only, following the money. And that's what we're going to teach you. So I want to show you how we uncover these big orders out and on Wall Street. Now let me just change the slide here and get my little pointer out here. So before we get started, just really quick, just a little disclaimer, just let you know this is strictly just educational purposes. I'm not making any warranties, guarantees.  Now what we're going to cover today is some very important topics. We're going to probably talk for about, I don't know, maybe, I don't know, 30, 40 minute stops. It's going to go very, very fast. And let me tell you, the more you ask questions, the more you're going to realize that you just need to know how to play the game. So we're going to talk about how to follow the big money. We're going to talk about how to find the most important tools to use, best times to trade. We're going to talk about how to develop a system around being an overwhelming, well-rounded trader. We're going to talk about a couple of strategies on swing trading. A lot of you here think like, well, is this only day trading?  I'm going to read why most people make big mistakes on charts. I don't know, I feel like 80, 90% of the people are reading charts backwards. You probably know what I'm talking about, but we're going to cover that in a hell of a lot more. Now just a little history about myself, if you don't know who I am, I've been doing this for over almost 30 years now. I'm one of the original educators that started the whole industry. I'm actually one of the original day traders that started the industry. Now, how does that spill into you? Well, the way I learned how to be a very successful trader is I went to go work for somebody, okay, after blowing up two accounts. A lot of people think like, oh, let me try it. If I like it, then I'll go learn how to do it. I don't know if I want a doctor to tell me that before I go into surgery. But, and I know you wouldn't want to give your money to somebody that wanted to go learn it on his own before he actually worked for somebody. So this is why it's a big failure rate. And living here in New York, I ended up working for somebody and what sucked about it is I had to split the profits. I had to go truck myself into the city or all over here or different offices all over New York. I didn't like doing that, but let me tell you what you're gonna learn. On the first day on the job, what I've learned, it was worth every single penny that I did it because if I didn't know what they told me what you need to know, I would never need to know how, I would never learn how to be a successful trader because you're gonna learn that today.  I knew this was, why is that more people talking about this? And you're gonna realize that you've been trading blind since the first trade that you've done and don't take it in a bad way, is a good way because you probably wouldn't be here if you were doing that great. So my question to everybody here is, I wanna just get to know a little bit about everyone.  And I mean, taking it seriously. You know, is it a couple of weeks, couple of months, a couple of years? How long have all of you guys out there just started? Just out of curiosity. Couple of months, okay. Rai did it for three years, James about six months, two years, okay, good, good, good. Now, my next question to you is this. And by the way, nobody can read anybody's chat other than me and everyone else's panelists. Be honest with me. Are you making money? Are you breaking even? Are you losing money? How overall, how's everybody doing? Breaking even, okay. Anyone else? Losing, all right. Well, at least somebody's admitting to it. Poorly, Jerry, okay. James doing okay. Well, up and down. Okay, so that's like breaking even. Lorraine, all right. By the way, there are people in here, Bob, Charles, Elaine, Forrest. Guys, don't be scared, be honest with yourself. Nobody's gonna rat you out to your spouse so your friend or you'll lend the bar and your money. Listen, if you can't admit that you're losing or what you're doing, you'll never be successful in trading and I'll give you some great advice right now. You should lock out right now and go start listening to some stock brokers and just give your money to them, okay. Piss poor with high spirits. Oh my God, I like that one. That's a first. All right, so let me tell you why people fail, all right. And then we'll go into the strategy behind it. First of all, another one thing they do is they're not really doing one specific thing. They're doing multiple things. They're doing options there. Then they jump into futures and they do swing trading. Then that doesn't work. They didn't want a day trade or they do a day trade and it turns into a swing trade. You gotta focus on one thing and it all starts actually believe it or not on day trading because what happens over the course of the day trick goes into a swing trade or an options. The next thing people do is they just read all day. They never come to admit that you gotta hit the button after a while. Books don't talk back to you, okay. And that's where people get themselves in trouble. Another thing they do, people don't wanna spend any money. Okay, they're cheap. I want to cheat. Who's got the cheapest tickets, okay. Anyone here ever fixed their house or maybe fixed your car? Do you go to the cheapest guy? And say, oh, well, he was the cheapest. I'm not telling you to go to the most expensive guy but you gotta do your due diligence. See who's out there. Make sure, listen, there's a time to when you be cheap and there's a time when you gotta spend but there is a time when you can't get nothing for free in this business because the only thing is free is the cheese in the mouse trap. And we all know what happened to that mouse. Another big mistake people make. They don't be trade by themselves. I mean, what I'm gonna do today is I'm gonna invite all of you when we're all done to come into my trading room and you're gonna meet hundreds of traders that we've trained and see what it's all about. So that is going to be, your bonus is sticking around, all right. And you're gonna see everything I'm saying and say, hey, faster, do you practice what you preach? Hell, not only me, my instructors, my students, all of them, you're gonna see that. So trading by yourself, no, no. Another one, maybe if you are trading with somebody, okay? Couple of things you gotta look at. How is everybody else doing in the room? Don't look at him. The guy who's running the room, how are the other traders are doing? Are they successful? You don't have any of us to actually want to go get a job and work to someone and like, oh, I wish I could work for that company but I gotta work for this punk company. And you're like, and then you wonder why you're not going anywhere. It's like, you could see the difference from a good company, well-run company, versus a poorly-run company. Same thing. Another mistake people make. And this is one of the biggest things we teach at Cybertrain University. We don't teach you how to make money. We teach you how to stop losing it. People don't know how to take losses. And everyone likes to talk about the winners. Nobody wants to talk about the losers. Big mistake people make. And another thing, they're not able to make quick decisions because they're over analyzing things.  Let me look at the chart. Let me look at the indicator. Maybe there's another indicator. Let me look at that indicator with that indicator with that indicator. How about look at the future? Look at the orders. That's what we're gonna focus on, okay? But everything takes patience and that's what you have to look at. And it all starts at one thing what you're doing right now. You are here to interview Cybertrain University. And you wanna see, can we teach you and be the right mentor for you? And everybody here needs to listen to a few different people and you're gonna have to go and you might have to take a couple of classes from different people around the world. But the thing is, you have to find someone that you could adapt to, someone that you could understand and that's what the great part about is it. Now, how to become very successful? Here's some of the big things. Number one, having the right brokerage account. We don't work for the brokerage firms. We have no allegiance to them. We don't get paid by them, okay? They will love us to send you to them because they know that having a trained student will be a client there forever but you gotta have the right brokerage account. Every brokerage firm is different depending on what kind of trader you are. Just because you have a well-named, branding company doesn't mean it's geared to the type of trading you're doing and we'll take care of that. And by doing that is having also the right setup on a trading platform. Another big mistake to how to be very successful people make is they go out there and you gotta risk a lot of money to trade stocks.  Dean, very good trade station, great company, okay? We actually showcase them in our trading room and you'll see that. So you're looking forward to that. But going out there, you wanna risk the least amount of money with the high amount of reward, okay? This is like real estate. What makes real estate money real estate? Location, location, location, okay? Not going out there.  Well, you know that's not. But guess what? You're making that mistake with certain stocks. Also, focusing on pre-market by looking at the big percentage gainers and losers. There's so many of you here that don't have access to pre-market and you're not looking at what's moving in the market. And that's what it's all about because when you surround yourself with people that are successful, that's how you become very successful. So just a couple of tips I wanna cover and let's jump right in and show you how to use those things that we just talked about. First of all, sometimes you look at the market and you're like, okay, is it going up? Is it going down? I'm not sure. You saw the market take a big hit the other day. You know, there's so much uncertainty in the market. Well, I just listened to the radio. One Alice on TV said, we're gonna expect a crash about 20, 30% in the next three months. I mean, which is okay because us as traders, we'll just short. You know what I mean? We'll just short. But you can't wait on that day. Every single day there are things that are moving like the stock BBIO. Look at this thing. They went from $17 to $20 in about two hours. Weight watchers, stock we traded the other day. You probably never think about it. You know, listen, I don't know. They could, whatever the news is, I think they'll get into the diet, drug, something, whatever made the stock go from $450 to $7. Oh, I don't believe in weight watchers. Well, I don't believe it in either but doesn't mean I'm not gonna trade it. You know what I mean? Like you made a lot more money trading this one than maybe trading Amazon or Facebook or Tesla that you had to go spend so much money or even a stock like AMAM. This thing went from seven to 13. That's almost literally a hundred percent move. Why would you not want to trade that?  Why did it go up? Who ran it up? That is the question and that's what we're gonna talk about. So where do we find these stocks before they make their big moves? Very simple. I don't have a crystal ball, okay? But you all have the same technology that I had. I just work off my big percentage gainers. Now you're looking at this list and you're probably saying there's a lot of stocks on that list now, so 70%, 25%, 50%. You know, how do you know which one to trade? Well, when I invite you in my trading room, we're gonna show you how to dissect those and trade the one that's going to give you the least amount of risk with the high-matter award because you only need one to make your days pay. You can't trade them all. Now, another thing we're gonna talk about. How do we follow these orders? How do we know what they're going up? So my question to you is this, I got a question to ask everyone. What makes stocks go up and go down? Let's see how you guys could answer this question. How do they go up and down? What drives them? And well, I'll just wait here for you. Lorraine, you're absolutely right. James, you're wrong. Ray, you're right. I'm not gonna say what the answer is. Robert, you're right. Adam, you're right. Darien, you're right. Look at everybody here. Ronald, you're wrong, okay? Volatility does not make the stock go up and go down. It's buyers and sellers. Think about it, buyers and sellers. Who are you to dictate or know more than where 70% of the buyers and sellers are? How about just following where 70% of the buyers and sellers are? That's what I'm gonna show you. So what you're about to see right now, okay, is gonna be very disturbing because you are now going, I am going to show you the secret behind Wall Street. I'm gonna show you and open up that curtain. I'm gonna show, and by the way, this is not the Faustonacci indicator or this is not, I'm not here selling any of that stuff. I am going to show you exactly how Wall Street trades and the tools that they use and you can get the same tools on your own, okay? Now, we got three ways that we kind of look at orders. There are level two, level three and level four, okay? I wanna cover them really quick so you know what I'm talking about.  Every brokerage firm offers it. It's that little swiggly box that moves really, really fast with all these orders. Now, let me just draw a couple of lines here and we're gonna kind of educate you guys here. So these are your buyers, right? B stands for buyers, S stands for sellers. Now you got three columns, one, two, three, okay? The first column is a four-letter abbreviation of a brokerage firm. The second column is the price that that brokerage firm or that exchange wants to buy that stock for. And the third column is how many shares? Everything there is multiplied by a hundred. Now you're probably getting a kick out of this be like, wait a minute, there's only a hundred, there's only whatever a hundred shares looking to be bought at the New York Stock Exchange. I mean, I bought a thousand, I could buy a thousand shares of this. Why are they buying a hundred? Well, that's what you're gonna learn, okay? And we're gonna get to that. The key is this, what you're looking at is all the buyers and all the sellers and at what price they wanna buy it and what price they wanna sell it. So you are now witnessing of every order out there that's trading at every exchange. Now you're probably thinking that that's pretty overwhelming and you're probably thinking like, how does that help you? But we're gonna get to that, okay? Right now, you just need to understand this is a car and these are the four wheels and this is the engine, okay? Now how do we drive it? That's the next thing. Remember to keep it more, you know, lame or simple, let's say you've been dealing with public transportation.  So let me move this over here and let me just clear some animation here. Now does anybody here have something called NASDAQ Book Viewer? Just out of curiosity, anybody ever heard of it or used it before or anything? No one here has it? So we'll show you a quick little video. When you go to our website, this is actually at the NASDAQ Center, okay? That's me right there demonstrating exactly how to trade on the exchange, on NASDAQ. NASDAQ actually hires me to even train their own staff because they need to understand how, just because they know that they're working on exchange, they gotta know why it works and how to utilize it and they want you to learn how to use it. So I'm gonna move this over and I'm gonna explain to everyone how this actually works. What you're seeing right now is that you have a seat on the exchange, okay? You literally have a seat on the floor. If you started, when I started, this will probably cost you about several million dollars, okay? Now, guess what it costs? $15, some of it's even cheaper depending on your brokerage account. Now, let me ask you a dumb question because I need to find this out for myself. Do you think it's worth paying $15 to have a seat on the exchange? Would anybody pay for that? $15 to have a seat. I used to pay, just get this data when I was watching it back then, I had to pay $1,000 a month, $15 to have a seat, to see where Goldman Sachs, Merrill Lynch, every institution, every algorithm, every high-frequency trade, every dark pool, literally $15. No, it's not called Steve time and sales. Absolutely not. That is a totally different window, Steve, okay? Darlene, would you pay for it? Derek, I didn't hear from you. Would you pay $15 to have a seat on the exchange right now? Wouldn't you like to know where Warren Buffett is on the stock that maybe you're trading in right now? Would you want to own a stock that he's dumping it right now? Of course.  It's like, you want to trade in this business, okay? Why not know how it works? So let me just show you the value of this really quick, okay? What you're seeing is every order out there and you're seeing every single price level out there. So let's look at this example right here. You're looking at Weight Watchers, all right? Weight Watchers had, you know, you could see how it came down from 620, right? And you could see right here, right? And then all of a sudden it stopped right around here, right? So it went from 620 down to 520. Why did it stop at 520? Why did it go down to five? Why did it stop at 560? Why did it have to pick 520? Well, I'll tell you what. When you look over here on the exchange and you see where all those buyers are at, most of them are sitting here for $65,000 at $5.20. Not at 525, not 512, but 520, okay?  Are you trading 65,000 shares of a stock? I completely doubt it, all right? But there are people are. And by seeing that, what happened? It hit that support, it went up. It hit that support, it went up. You have to understand something. Support levels do not exist unless buyers are out there. Resistance levels do not exist unless sellers are out there. So you could smack on any indicator you want, but unless those 65,000 share buyers are out there, guess what? You're trading blind, okay? Now, I'm not done because we got a lot more to go.  Here's a stock, REVN, okay? Stock has a really big run. It starts right around 1420. It goes to 1510 in less than an hour and a half. Now let's do the math. If you happen to buy 1,000 shares of that stock, right? And it goes from 1420 to 1410, you're talking 90 cents. So let's just use simple math, a dollar. A dollar on 1,000 shares is $1,000. It's a quarter million dollar salary, okay? Now, a lot of you probably say, okay, how would I have known to get out of 1510? Well, what makes a resistance? Sellers. When you look over here in the Nasdaq Book Viewer, you work your way down. You've got sellers at every single penny level, but the biggest one is right around here between 1510 and 1511. You've got 43,000 share seller and a 31,000 share seller. So if it came down to it, I'm not gonna, I will definitely always take consideration of 2,000 share seller because someone's starting to sell it. I'll even do 3,000, but I can tell you one thing. 43,000, 30,000, you're talking almost 75,000 shares looking to get out there, okay? You're talking over a million dollars worth of stock. I'd rather watch him than everyone else. Now, can you have support levels without buyers and can you have resistance levels without sellers, okay? Well, let's go check out the stock BBIO, all right? Can everyone tell me what is the trend of the stock? What's the trend of it? Up, down, what do you think? Down, down, down, down, down, down, Mike, Adam, down, Robert, down, down. Congratulations, okay? You just, you passed the test, all right? Not a very difficult question. Okay, now here's a $64,000 question.  What do I get out? Do I sell it now? I mean, or do you ever get into the hope situation? What do we need for the stock to go up? Everybody, what do we need for it to go higher? Yes, Adam, yes, you need buyers, right? Now, let me tell you why 90% of people fail in trading. Do you see buyers on a chart? Steve, you don't need a miracle. If you need a miracle, you shouldn't be in this trading. Okay, do you see buyers on a chart? Everyone loves charts. Oh, you gotta have the chart. Oh, you gotta have the Fibonacci. Oh, you gotta shank it. You gotta, you see it's commercial. Oh, you gotta get the shank and rapport.  I'm just trying to educate you a little bit more of how to be successful at it. You might not like it, you know?  You see buyers out here? Everybody's looking for the buyer, right?  I don't care how far back you go. So think about this, you'll keep watching the past. How about we look in the future, okay? So let's go look, what could be actually the future? The future is orders. So let's go over here and check out on the exchange, okay? So we're looking, now we're going down. So what do we need? We need to find where the buyers are. So the buyers are on the left. And as I work my way down, I said, I noticed, oh wow, there's a 22,000 share buyer of $15.50. And you can see it right here on the left-hand side. I mean, there are buyers everywhere. There's buyers at every single penny. But the majority is sitting there between $15.51 and $15.50. So what in theory, where is this gonna happen when we get down to that price? If you follow that money, you will prevail. Cause look what happened to this stock from 10 o'clock to 10.30, 11, 11.30, 12, one, two. How much more is it have to explain to you? And then sure enough, goes from $15.50 only up to 17. Thank you very much. I would take that money any day. By the way, did I lose anybody yet? Did I, does anyone confused? Cause what did we really cover following the money? All right, everyone following along? Listen, we all even talking for what? 15 minutes I've basically trained you. Imagine what I could teach you and seeing this live in the market because that's what the goal is.  Because anybody can make a pretty PowerPoint, right? You're like, oh, I saw this song and dance before. Well, we're gonna practice what we preach.  And then you're gonna open up your eyes and you're gonna make that decision in a way of, oh, now I know why I need to do this way and that way. Let's go look at this BLPT, by the way. Here's a stock that still had a really big pop in the afternoon, went from $420 up to $6. Now you're probably asking yourself, do you take the profit? Do you get in? Is it too late to get in? Remember, everyone's has different situations. Well, the thing is this, where are the sellers? Where are people looking to get out? And when you look over here, you could see there's 37,000 shares in BLPH, sitting over there at $6.20. Okay, big seller out there. Cell is at every single price level, but that specifically is the resistance. So, what do you think happens when we get to that resistance? Hit that and came right back down to 560. How many times have you been in a stock? You're like, man, why didn't I get out? Why didn't I follow my instinct?  Why did the stock go down on me? Like, what's wrong with, I didn't, like, who is responsible of making the stock go down? Nobody's responsible, the responsibility is you should have known that there was a 37,000 share seller out there. That's the only person to blame is yourself. And these are what we call iceberg orders, big block orders. See, it's not what's on top of the water, it's what's on the bottom of the water because it didn't work too well for the Titanic. Now, can I get NASDAQ Book Viewer? I think that's everyone's ex question. Absolutely, I am not here to hide and hold anything back. You can go right to NASDAQ and you could purchase it right at the data store. So take a picture of that and basically write it down right now, datastore.nazdaq.com. Now, do I recommend you to buy it? No, for one reason. I wanna show you live in the market. So if you wanna get it, let me show you how it works because you need to, you gotta know how to set up the defaults and all that stuff. So that's also very important for you when it comes into trading. Now, how can I tell if an iceberg water gets broken through? Okay, listen, stocks break resistance levels all the time. Well, unfortunately, some people might think that they wanna buy it at that price. So you will always see things like, oh, we just broke resistance, we just broke a new resistance, we broke a new resistance. Well, remember, resistance levels are broken because someone was trying to sell it and somebody bought it from them. Now, and we're gonna cover that also in the trading room. Let's talk about one other thing. Have you, anyone ever heard of level four? Anybody here ever heard of level four quotes? Some of you have? Yeah, book map is one of them, yes. Lorraine, you have, okay, good. Wow, there are almost 100 people here and a lot of you don't even answer that question. Okay, you thought that was good, wait till you see this. The problem with like a lot of these level twos and level threes is that when we get older, maybe some of us, like we see these numbers move pretty quickly. I think that's why a lot of people like to look at a chart because it's very just, it's a very simple, it's a nice little line. You know what I mean? It just gives you the trend and everything. But what if I told you that there is a platform out there that is a chart, but not what you've been trained to learn on the past, but to learn towards the future. So imagine they're seeing on a chart that you see all these orders right here on the right.  And also most importantly, you could aggregate all the exchanges under one platform. So now, listen, you might have a big buyer in the New York stock exchange, but you might not see him on the NASDAQ. All right? So you're like, I don't understand. I had this stock go up. I didn't see any buyers out there. Well, did you see what was on the other exchange? Probably not. And that's the little things that are gonna help you become better at it. It's finding where those orders are. Let's go look at a popular stock that's been moving and everyone's obviously talking about is AI, okay? Chat GTP, basically. Here you have AI stock had a really big run since like basically it started in December. Now kind of like died out right now, but here you have to see stock went up and you see this big seller right here. You see all these big orders out here, okay? So what happened is that that is called the resistance levels. Now we've been in this situation. You ever heard of a breakout? What happened here is somebody bought it from that seller after, I don't know, 30 minutes. And once that seller was executing, gone, look what ended up happening. It went to the next resistance levels. And then you had this seller for 42,000 shares at 29, he's been out there since 230. But meanwhile, it's already 245. Look what happened. We got close to like 330, four o'clock. It's going right up to that resistance levels. Let's look at Revion, okay? Revion, another great example. Look how you see these buyers out here.   Here you have an example of a stock where you see a buyer right there going out there and he gets executed at that was at 1750-ish. He got executed, where's it go? Goes down to the next support level. Next buyer was out there at 930, came up to $17. What did that happen? He got executed. What happens when you break through a support? It goes to the next support. Where's the next one? 1650, see 169,000 share seller out there. See how it hit it, went up back to 1690, came back down. These are the things that you have to look at and then all of a sudden, not only was there 160,000, but now look what ended up happening. You got more and more bigger buyers showed up, 250,000, quarter million share.  See how the red started shummit coming in? That means someone started adding to his order. That's basically when it's happening. And that's what makes the stock go up and that's what makes the stock goes down and that's how you notice how from having a quarter million shares and boom, you got another 145 just showed up. Now this increase the downward pressure movement of Revlon, which we'll talk about next. Look what happens if the guy got executed, which happened here. Look what happened. They kept testing it, quarter million shares was out there to be bought at 1650. Now look what ended up happening. 458,000 shares showed up. When you break through a major support and if someone executes that person, which you all know you've been there and done that, look how fast the stock goes down. And it even took the guy out at 16. And it went all the way down to 1550. It just kept taking people out. And that is a sign of a crash in the stock. That is a disaster. So as much as we've learned what makes support resistance levels as buyers and sellers, look what happens, because you've all witnessed it, what makes stocks break that support? Well, that support level you thought you knew what was support was a big buyer, but what happens if someone said, oh, you wanna buy it? My pleasure, here it is.  And when he's executed, guess what? If there's no one there to help buy it again without buyers, you're gonna have sellers step in and then that stock's gonna go down to the next biggest buyer. You see, you have to know how to play the game. You might not like what you see. You might be really upset about it. You're probably victimized by it, but the fact is the fact. You wanna compete in this market. You wanna be successful at it. You wanna learn how to get the crumbs on the floor. You gotta watch the big boys. That's where it just comes down to it. So with that said, everyone, does anyone have any questions? Any questions so far? Think about how much you've learned or OTC stocks. Yes, Lareen, but I don't really trade small cap stocks. Sometimes you don't see the big orders as much. And listen, if you're good at it's one thing, but I kinda stick with the more Nasdaq national, more national stocks, blue chip stocks and stuff like that. Any other questions? Tracy has a question. Do buyers sometimes enter fake orders and then they pull them and trick the market? Tracy, listen, you could put an order out there and you could change your mind, whatever it is, it happens, okay? But that's just the fact how the game's being played, okay? Listen, I'm gonna show you something right now. I'm gonna show you something pretty cool. We were talking about Revon, right? I'm gonna show you something going on the market right now. This is the actual, look at this right here, okay? Revon started this morning, here's 9.30, right? It started this morning and it came down to this buyer right around 14.80-ish, something like that, okay? It went all the way up and you notice how these buyers, these sellers started showing up, look at this seller, 85,000 shares at 15.50, 67,000 at 15.30, 65,000 at 15.20 and then you could see how the stock was trying to trend out and then all of a sudden, all of a sudden, this guy ends up showing up for about 100,000 shares at 14.80 and look what the stock did. It went from 14, whatever it is, 14.88, 14.85, whatever it is and it went all the way up to $15.00. Now, that's not a really big move but do you notice how when he showed up, the stock went up? Do you notice when these people showed up on the offer, the stock went down? You see how it's trading in a range?  Why don't you wait to see? You could always buy it cheaper and you always could sell it for more. Why are you gonna buy in between a floor and a ceiling? Why don't you buy at the floor and sell at that ceiling? That's where it comes in.  April has a question, how does someone find out if they have stocks in their name? I don't know what you mean by that. Find stocks, how do you find out stocks in their name? I don't know what you mean. April, you got to talk to a stockbroker about that. All right, we're here to trade, not to find out and be an accountant. How much money do you need to start? Okay, let me tell you, these are a couple of popular questions I got. You don't need any money. Okay, forget about money right now. Forget about opening a brokerage account and everything else. Your goal is to find out if trading is for you or not. Okay, next question is, do I need a brokerage firm to start your program? No, if you have one, great. There's no reason to rush to get into it. We're gonna have everything showing to you live in the market, the least of your problems right now. Last thing we want you to do is buy a stock. All right, so now your next question is, how do you register? Does everybody have their phone? Okay, you can manually type in ctu.co forward slash cg-free or scan that right now. Okay, take your phone and scan it. Now, what are you gonna get with this stuff? A ton of stuff. Basically, I'm gonna give you one day access in my trading room, one day access, okay? When you're ready to start it, we'll start it. You wanna start tomorrow, we'll start tomorrow. We'll start next week, we'll start next week, okay? But I wanna give you a full day in there so you can see what the hell's going on and what we do in the trading room to say, you know what, this sounds too good to be true. Let me go see how this really works. I wanna invite you in there, you can see it. Next, I wanna give you a couple of workshops, okay? Basically, how to use the platform, like how to use BookViewer and all that stuff, how level four works, all that stuff. So I'm gonna throw in all these, we usually charge for this. I came up and I said, you know what, there's just too many people losing money, okay? Let me build your trust first so you know what we're talking about and we'll go from there.  I really want to make sure that you have the best experience as possible with the small amount of time that you have to kind of give you that confidence that, listen, if we're the right school for you and you do your orientation, this is basically where you're gonna have to, this is where you probably wanna reside. But every one of you need to know how to play the game of trading. And not only that, as a bonus, I'm willing to give you everybody here my book for free. Now listen, you can go to Amazon right now. You could buy it, it's $47, okay? And I would appreciate the $47, but you know what, if you register one day, I'll give you the PDF version for free, right here, right now, okay? It's a great read, it's a fast read. You probably read it two, three times, but it gets right to the point, all right? Now, all you have to do one last time, take your phone or click on that link that we just posted and get in this trading room now. If you're sick and tired of watching commercials and worry about people put the fear of God in you and watching all these YouTube videos, how about come and joining us and see why? Cybertrain University has a five-star rating on Google over 30 years, which is almost impossible, why Cybertrain University has been endorsed by more brokerage firms than any school in the industry, okay? You've probably been trained by somebody and there's not even a brokerage firm that endorsed them. We've been doing this long enough because we respect you as a trader, as an investor, and as a student, but just keep in mind, not trading is for all of you. And you know what, that's okay. Everyone out there wants to learn how to make money, well, we're not gonna do that. We're gonna teach you how to stop losing it. That, you're probably shocked that no one ever taught you that because how do I know that? That's how I was trained 30 years ago and I wanna pass that knowledge over to you because if I could do that, then, and if you're qualified and you like this, hopefully it will take you under our wing and you can be a part of our family at Cybertrain University. Now, with that said, a couple of people are registering right now. I wanna do a couple of shout-outs. John, I got your registration, welcome aboard. Appreciate it. Lucy got your registration, welcome aboard. Now listen, when you fill out your registration, everyone here, we're gonna ask you a couple of questions. Let us know what about you. How do you take training before, okay? What is your experience? Do you have level three access? So please let us know a little bit more. The more you tell us about you, the more we can help you, all right? Any other questions? Does this work? What about options? We can talk about options. That's another question that came up. Listen, you wanna be a good options trader. You damn well better learn how to trade the stock first. It's the movement of the stock that makes an option move. I don't understand why anybody would trade an option other than someone told them, hey, it's got great leverage. You owe me a lot of money to do this. You know what, that's like, to me that reminds you of the subprime days of low mortgages, okay? If you don't have the money, you shouldn't be in the first place. That is an option. That's not your number one option. That should be a second option. So don't even worry about that right now, okay? Don't even, that's, listen, if you can't make money just by trading the stock in black and white, you absolutely have no chance of succeeding. And the worst thing that could happen to you is that you make money doing it. Because that's what happened during COVID. Everybody who jumped into COVID, people are home and they thought, oh, I could do this. This is great. Wow. And they thought they were like, they hit lotto and they did great. No one has made money in two years after COVID, okay? They've been flat line or they're losing and they're realizing, wow, I didn't realize it was that hard. It was so easy then, okay? So these are things we need to cover. Where do you look for ideas to trade, Adam? That's a great question. Did you register yet? Because I did not see your name come across. Because if you want that answer, I did cover it and I'm gonna cover it in the trading room, okay? But in simple, just a simple explanation, we just work off the big percentage gainers and losers. Remember, you're here to not make money, but to survive and to stop losing. The winners take care of themselves. Forget about the winners. You gotta know that if you're on the wrong side that you don't get suckered in because you're one trade away that could blow up your account. You don't wanna start averaging down. You don't wanna start holding overnight.  You know, it just doesn't work, okay? No problem, Adam, appreciate it. Any other questions? What else I got here? Marlene, I got your registration. Welcome aboard. Who else I got? I see registrations. David got your registration. Bill got your registration. Please don't, it's free. I, you know what? This is something we haven't done in a long time. I'm giving you my book for free, okay? We usually charge you to get in the room. I am doing it, giving you a one day pass for you to see that everything we talked about and show you examples why these things, how these things build support and resistance levels. Don't lose this opportunity, okay? And also very important, everyone here is gonna be talking to an education advisor. It is important that you go out there and talk to an education advisor at Cybertrain University so they can at least tell you when you go into the trading room, you know exactly what to experience. All right, everybody. So with that said, I'd like to thank everybody here. Hopefully everybody got their phones, they scanned it, they registered. If you're not, you can just type that in there. You can click on the link and I look forward to see every single one even in the trading room, okay? And last but not least, if you don't continue with Cybertrain University or maybe start your style, whatever it is, just remember one thing. You have to learn, okay, before you can earn. You can't just go out there and think you wanna try and do it.  Could you trade all my money?  You have to learn from somewhere, okay? You gotta surround yourself with good mentors. You all know what it's like to have a mentor. We all had mentors in our lives. Our parents are our mentors.  Our big sisters are our mentors. Our teachers were our mentors.  They want us to succeed. I want you guys to succeed because there's just too many people that lose money in trading for the one main reason, ignorance.  Thank you so much. I appreciate you like that common sense. I love that comment. I love that comment. Thanks, everyone. We'll see you all in the trading room. In the meantime, be safe and enjoy rest of your weekend.