In this video, we're going to show how to translate a conventional if-then-else statement as the one that is present in programming languages like Java, but we're going to translate it into AVR assembly code. The first thing we need to know about the if-then-else statement is its syntax and semantics. So the syntax is very simple. We have the keyword if followed by a parenthesis. And inside this parenthesis, we are supposed to write a Boolean expression. This Boolean expression, when evaluated, has to return only two possible values, either true or false. And for the sake of simplicity in this video, we are going to consider that true is going to be equal to different from zero, and false we're going to represent it by a value which is zero. After this expression, we have the possibility of enclosing in braces one block of code, which we are not going to write the details about. We're just going to call it the then block, meaning that an arbitrary set of additional statements can be inside that block. And also we have the possibility of closing this brace, write the keyword else and open another block, which similarly we're going to call it the else block. This is the syntax of a conventional if-then-else statement in a programming language. The semantics, what it means is that after evaluating this Boolean expression, if the result is true or in our case it's a value different from zero, we know that the then block it's going to be executed and the else block it's going to be ignored. And vice versa, if the Boolean expression returns the value false when it is evaluated, this block is then ignored and only the else block will be executed. So how do we go about translating this to assembly code? So let's assume first that we are in the middle of an assembly program, some previous instruction, and let's assume that we have here some specific instructions. I'm referring to now machine instructions, instructions that calculate the evaluation of the Boolean expression and therefore we have here a Boolean result. Now how many instructions do we need for this? It's difficult to calculate in advance, especially because this Boolean expression here can be arbitrarily complex, but let's assume that all these instructions produce this result and for the sake of this example, let's assume that the result is stored in register R18. The next instruction that we would like to write to translate this to assembly code would be compare the result of this expression R18 to the constant 0. When we do this comparison, what we are doing here is trying to detect or trying to decide if this expression has been returning the value true or false. And this is perhaps the most important part. Afterwards, we're going to do a conditional branch. Branch is equal to a label which we're going to call else. So what is happening here is I'm comparing the result of this expression with 0. If it is 0, it means that the result is false. If it is false, it means that it has to skip this block, so I'm going to jump conditionally to the block where the else code is present. Otherwise, if the comparison of these two numbers is different from 0, this jump is not going to occur. And therefore, I'm going to execute immediately some other instructions which we're not going to detail because we haven't detailed them here, but they implement the dem block. Otherwise, if the result is equal to 0, what we want to do is jump to a location in the code which we denote with a label, and it's going to contain the instructions that implement the else block. There's only one little tiny detail, additional detail that we need, which is that if the Boolean condition has evaluated to true, and therefore this comparison says that it's different from 0, and therefore this branch is not taken, after executing the dem block, we cannot let the microprocessor proceed and execute the else block, we need to jump this block. So we need an additional label here, let's put it the name done, and an additional instruction which is an unconditional jump to that location. Now as we can see with this structure, we have replicated in assembly code the high level statement if then else. Let's see a little bit more complex example. Let's assume a bit more complex condition. For example, if x is bigger or equal than 15 and x is different from y, then we have the dem block here, else we have the generic else block here. Now the main difference with the example we just discussed here is that we complicated the Boolean expression. This is just to highlight that these instructions here can be as complex as required by this expression. But not only that, we're going also to highlight how machines actually evaluate this expression. So the first assumption we're going to make is that both x and y are integers, let's say 8 bits in the ABR architecture and stored in memory. And we're going to assume they are stored with labels equal to x and y as well. So the first instruction that we would execute to start evaluating this expression would be those required to evaluate this sub expression here, x, bigger or equal than 15. So the first instruction would be load from memory into the register R18, arbitrarily chosen, the value of the position in memory labeled x. So this would bring the value of this variable into register R18. The next thing I would do is compare this value I just loaded with the constant 15. And this can be done with instruction CPI, compare immediate. Now an interesting thing happens here. After comparing x or R18 in this case with 15, if this condition is false, since it is a sub expression of a conjunction, a false condition here would already tell me immediately that I need to execute the else block. Now this condition being false means that I would branch if R18 is lower than 15. So BRLT would be the ideal instruction to put in there. And it would make it, it would make me jump to the else block. So here I have one portion already of this implementation. If this condition is false, I know that the code should jump and execute the else block. If this condition is true, however, I'm still not certain that I should execute this block or this block because this is part of a conjunction and I need to evaluate the other sub expression. Now x is already in register R18. What I need to do is now bring from memory, again with an LDS instruction. Let's put it in register R19, variable Y. So I'm doing the same as in this instruction, bringing the value from memory. And what I need to do now is compare these two registers, R18 and R19, which is equivalent to comparing X and Y. Now the other interesting thing here is the following. If this condition now is false, again I need to jump to the else block. This condition being false means that I need to branch if this comparison returns an equal result. So in this case, BREQ would be the ideal conditional branch instruction, and it should jump also to the block else. And if this condition is true, if X is equal to Y, then I am in the situation in which both of them are true. And therefore, immediately after this instruction, I would include as many instructions as needed to implement the then block. And the remaining code here will follow exactly this pattern we just described, which is I'm just put an inconditional branch after I'm done. And immediately afterwards, my label else with my block else block. And then finally, my label done. So again, what we have implemented here is these instructions are basically calculating the value of the expression. When I'm comparing R18 with 15, I am basically evaluating this sub expression. When I'm comparing R18 and R19, I'm basically evaluating this sub expression. The fact that it's a conjunction here allows me to sequence that these instructions specifically this way, if this expression would be different, then I would need a different set of instructions. But eventually, at this point, what I know, at this point in the code, is that these two sub expressions are true, the conjunction is true, then block is executed, jumping conditionally to done. Otherwise, if any of them fail, I know I can jump directly to the else block as these two instructions are saying, execute the else block and finish.


What's going on everybody got Kyle and Sean here with late sports cards one box for Langston P It's gonna be a box of inception baseball. Let's go Langston. Good luck. Good luck. Drew Locke is starting today. What good Interesting rich interesting that a four o'clock game might do a Take DK out or something, bro. I don't know. I don't know now True DK is probably yeah be saving grace The Ingrams involved Have an Ingram Alrighty, good luck here. Mr. Langston see what we got. We got a green say a Suzuki on the front Who's a autuvay on the green and rookie Pat Bailey for the Giants Patrick Bailey and a bow nailer base rookie Corbin Carroll base rookie it's Corbin and a true waters or Our auto we got a cow stowers. That's on the pink to 99 rookie auto for the Orioles Cow Stowers rookie drew lock man. That's crazy. And on the back. We have another auto. It's a 249 Nick per auto On the rookie auto for the Royals Alrighty there Langston that will do it. Nice. Uh, nice one there the extra hit Two autos in that one appreciate you my man. As always we'll get that right out to you


Let me get a little chat back. If you can hear me loud and clear. This is Thalstow. Just want to see if everybody Is able to hear loud and clear. Alright, good to see you, Thomas. Good to see you, Bonnie, Michael. Perfect, perfect. Let me just share my screen. Hopefully everybody can see me. Okay, everybody's fine. Perfect. Alright, good, good. Alright, everyone. Well, welcome. My name is Thalstow Baglisi. Basically, what you just watched is a quick little video of some of our students, couple testimonials, couple of traders challenges that I did in the past. And just kind of let you know that everybody wants to trade, but honestly, it's really not for everybody, and that's okay. But you know what? By being here today, we'll kind of let you know if this is something you should move forward, which I personally think you should all do it. But you got to see if it's a right fit and if it's right for you. Because you know what? At the end of the day, 90% of traders lose money. They fail. And you know why they fail? Because they never got educated, never had the right mentor, never took the time to learn at the right way. And that's what you're doing today. Today is more personally, it's an interview. It's an interview for you to be here to ask and have all your questions answered. Because at the end of this presentation, let me tell you my goal is my goal is I can't teach you in an hour. I could teach you enough to be dangerous. But at the end of this presentation, I'm going to invite all of you to come into the original trading room that I started 25 years ago to see people that we've trained and see if they're actually making money doing that. But before we do that, I want to teach you the art of trading and see what it's all about and make you see that some of you making it more complicated than what it is. Now what we're going to learn is we're going to talk about the psychology about trading. We're going to talk about how to analyze something called level one, level two, and level three. I'm going to show you why traders fail. I'm also going to talk about time and sales, everything that you see that you know that that will help you become very successful in trading.  Actually, that was one of those kids. If you ever read into the old books, I'm actually one of the original day traders that started, they used to call us so's bandits back then. Here's why they call us so's bandits. We had a, I'm not here to teach you the history of it. We used to trade by Nasdaq and they called us bandits because we were thieves. At the end of the day, market makers were very, very jealous and didn't like the idea that we had access to their private club. But you know what? I'm here to pass that knowledge over to you because you know you want to do this.  You know, you don't want someone else trade your money for it. You know, granted the market is doing great. Listen, everyone's doing great. Okay. But what is 10, 20% when you can make 10, 20% a day, right? That's what it's all about. Why are you making somebody else rich? Keep that money in your pocket. Now just a little brief description about Cybertrain University. I want to bore you about this, but I was actually, I live here in New York. I was trained by the best traders in the world and I started out as a prop trader, meaning I used to trade for someone else's money. Back then it was the only way you could have access to do what you have access today.  What I mean by that is I blew up two accounts. You probably all been there. Okay. And let me tell you why that is. Ignorance. What else? And being cheap. Think about a 22 year old going out there and paying money and getting a job as a trader. But let me tell you what I learned here in New York. This is the financial capital of the world. I've seen people make so much money here, driving very expensive cars, young kids.  And you know what it was? They had a job. They worked for somebody. They work for people that taught them, hey, it's not about learning how to make money. It's learning how to stop losing it. And that's what my main goal here at Cybertrain University is. I'm here to teach you how to stop losing it. Now, just tell you very briefly, I was semi-retired at the age of 24. But I wasn't happy.  So I wanted to build on it. And when I left my brokerage firm, they told me, the only reason why I left is I didn't want to split the profits. Like anything else, right? Everybody likes to start their own business. We're all entrepreneurs. But they told me, says Falstow, for you to be successful at it, unless you're going to spend all this money and have a brokerage firm and lose all this camaraderie, unless you're going to teach people how to do it, you're not going to be very successful at it. And I did learn that. That's why I'm here today. So I'm here to teach you guys how you're supposed to trade and how to be part of a team like Cybertrain University. So that is really the main reason why I teach. I'm only as good as the people I train. Now, I can't talk for everybody else. People always ask and say, oh, Falstow, why did so many schools out there?  You know what, I can't talk on their behalf. Listen, I know there's some really sleazy people out there in this world. Unfortunately, like in any business. But please don't use that on me and look at me that way. Otherwise, I wouldn't have had some of the biggest brokerage firms endorsing me.  These are all brokerage firms that I've been doing for the past 25 years that you see me out there. Now, the reason why I teach, just to kind of really briefly, is that this is my lovely family, my wife Debbie, I'd like to share Alex, Max, and Lucas. And the reason why I love trading is because my dad was an immigrant. He came here. My parents came over here from Italy. I'm first generation and, you know, came here with $20 in their pocket. And when I mean $20, I mean, really didn't have anything. They came here for the American Dream. And my dad worked very, very hard. By the way, my dad just passed away two weeks ago.  He was a very, very big inspiration to me because he taught me. He said, listen, I worked very, very hard.  So I'm going to work very hard for you to have a better future here in America. And you know what? I did. I did. I learned, went to good schools and I learned that, you know what? It takes time to be very successful. And it's also, you want to do something that is going to give you the least amount of risk with the high amount of reward. So why do you want to trade? Thank you very much. I appreciate that Jackson and Bonnie. So why do you want to trade? Okay. Listen, you're here to make money. Okay. I don't want to hear anything else. Oh, I want to find out about this company. I want to know why this is going. Listen, stop it. Okay. You're here for one reason and one reason only. You got bills to pay. Some of you are semi-retired, maybe looking for sick and tired, working for somebody. Maybe you got, I hear it all day long. You know, some of you are getting pushed out by younger, you know, the younger generation because you make too much money, whatever it is, yada, yada, yada. Listen, this is a great job. There's no other job out there that I personally believe, which is legal, that you can make this much money working an hour a day. You just have to learn how to play the game the right way. And the way you do it, you got to learn before you could earn. So when it comes to trading, ladies and gentlemen, we're going to get into the fun part now. How do we, uh, Grant, thank you very much. Grant is just saying, you know, Fousa is the real deal. Thank you very much, Grant. So how do we do that? We follow the money. That's it. End the conversation. Okay. If you're one of those people think you're smarter than somebody else. If you think, if you're somebody that is looking for a crystal ball, please log out. I'm not the right guy for you. Here at Cybertrain University, we don't recommend stocks. We tell you what's moving. We look what's moving. We help you scan the market. But first of all, telling you what to buy and sell is illegal. If anybody does that, um, if this is going to matter, matter of time, they're going to get, you know, they're going to be shut down. Um, may I say better trades?  Uh, so there's a lot of thinkers, uh, invest tools, look them up and you'll see, you can't do that. So that's why I've been in business for 25 years. So if you're looking for that person, I'm not the right fit for you. Okay. I'm not here to brag about my Ferrari. I'm not here to brag about the expensive house that I have. I'm here to teach you guys how to live a very comfortable, successful life in trading. And the way you do that is not by some crystal ball, some typical indicator. It's all about following the money. Now my question to you, I want to do a quick poll question because you know what? I'm here talking away and I'm probably getting a little, uh, uh, out of, out of hand here, but I'm going to do a quick poll. Hold on. Where's my poll thing? Uh, I'll make a little, uh, trying to find my polls. Where's my polls? Okay. So my question to you is this guys. Oh, here's my animation. That's what I was looking for. I need my little, so you guys could follow along with me. There we go. All right. So my question to you guys is that, does anyone here have level three quotes? Anybody here have level three? Just give me a chat back. Yes. No. All right. No, no, no. Couple of you have to say yes, because I know some of your students here. All right. That's good. All right. So no, but I just, uh, got book map today. Okay, Michael. All right. Does anyone else have level three? That's basically what we're asking. All right. So let me tell you what level three, level one, two and three is that we're going to go into the detail about it. First of all, how do stocks go up and go down? Supply and demand. Okay. Buying and selling. Those are the two things you've got to know. Okay. So how do we get that data? How do we get those quotes? Well, most of you are probably looking at level one, which is like, if you look up on your phone or you look on the, the ticker on the TV or something, that's over here on the left. So if you're looking at a quote, you know, exactly where the stock is trading at, oh, the bid, the offer, you know, that's what people are buying it. That's what people are selling it. Great. How does that tell you stocks going up and going down? It doesn't. Then back in the nineties, there's something called level two. This was big in the nineties, but it's now obsolete after 2000. Nobody uses level two anymore. It's basically worthless. Okay. Basically what it is, it just tells you the brokerage firm who's buying it and who's selling it, which is really important. The problem is it doesn't show you all the orders. It just shows you, you know, like for example, I might be a buyer of AMD at $40 and 40 cents for 100 shares, but I'm really a 10,000 share buyer at $40 and 29 cents. You're not going to see that level two. So you're not seeing all the orders. Now there's this thing called level three, where you get to see all the orders. Remember, it's all about following the money. That's it. Just please keep that in the back of your mind. Because here at Cybertrain University, what I'm looking to teach you guys what to do is we're here to scan the market together. By the way, there's no software out there that does that for you. We're there to scan the market and we're looking for big orders because guess what? What makes support and resistance levels on a chart? Buyers and sellers. The problem is it's not about predicting what happened in the past. I'm going to teach you how to predict the future. So how do we do that with level three? So here you have a level three chart and if you look right here, here's your buyers on the left and here's your sellers and then you have three columns. Okay, you got the price, the amount of shares that are looking to be bought at that price and then also how many orders are out there. It could be one order. It could be seven orders. It could be seven different people. It could be one person. That's why you're getting like seven, three, five, whatever. Now the way it works is this. Whoever wants to buy for the most amount of money is up on top. Whoever wants to sell their shares for the least amount of money is here on the top levels and then obviously you can see the number drops as you go down. Also, don't see OTC orders on my brokerage account. Well, DF, I mean, listen, I don't trade over the counter because that's one of the reasons why you can't see orders. I only trade Nasdaq national stocks. Remember, why are you trading OTCs? Why train Bolton board? Why train penny stocks? Because of the volatility. You know what, we got great volatility just trading Uber today, but at least you could see the orders. You can't see that when you're trading those. Remember, your goal, DF, is you're here to risk the least amount of money with the high amount of reward. At the end of the day, if your goal is to make, I don't know, $100,000 a year, do you want to risk a million to make 100 or would you like to risk 100 to make 100? That's really what it comes down to. All right. Now let's put this all together. Does everyone here know how to read a chart? Everybody here know how to read a chart? Just give me a chat back. Yes, somewhat Michael saying, okay, you know what, there's a lot of people haven't answered. Annie, what about you? Colton friend? I don't know, my two friends in here. Joan, Mark, Ron, what about you guys? Stuart, you guys know how to read a chart? Listen, don't be embarrassed because part of one of the qualifications to be a student at Cybertrain University is you have to communicate. If you can't communicate, I'm telling you, not going to be a good trader. You know, this is us talking back and forth. Trading is a team effort. It's not about his falstow and pound on my chest and I made, you know, $3,000, $4,000 on a trade. It's not how it works. Yes, yes, yes. Good, good, good. All right. All right. Good. Looks like everyone's alive. All right. So let's look at this example. Let's get into the exciting part of it.   This is what sold me. Stock is at $27.20, right? You see how the stock goes all the way down and it stops right here around 26, between $26.60 and $26.40. See that right there? And then it goes back up and it hits there $26.40 and it really has a tough time going below this $26.50. Now, why would a stock have a problem going below $26.50? Can anybody answer that question? What do you think? Why did the stock have a tough time breaking it? It's a question to all of you. It must have been a demand, right? Right, Greg? Buyers are out there. Okay. Exactly. Listen. Very simple. Remember, two words you need to know about trading, buying and selling, okay? Supply and demand. So there must have been some type of buyers out there which makes a demand. Well, when you look over here on the left-hand side and we look at the level of three quotes, you'll notice that there was a hundred share buyer at $26.50. Big deal.  Maybe some of you could spend a little bit more money, maybe trade $500. But when you work your way right down here, right around the $26.50, which is right around this price, there's a 34,000 share buyer out there. And if you do the math, that's not, you know, a couple of hundred bucks, okay? What are you talking about right there? You're talking about, oh, it was over a million dollars worth of stock, okay? I don't think any of you guys are trading a million shares putting into an idea. Somebody is. So when you're looking at a chart and you're like, oh, how does a stock know how to make a support level? Very simple. Buyers. Now, this is the question to ask you. How many of you guys out there trading and seeing these big block orders out there of 35,000 shares at these support resistance levels? Any of you guys seeing that right now? Anybody of you guys monitoring these orders? One person. Stuart's got lots of funny. Everybody that says no is trying to big, big NO. Okay. Listen, we just got started. We just got started. Okay. Now, here's another stock. What? W-A-T-T. So here you have a stock that went from $670 all the way up to a price of $750, right? Comes back down, goes back to $750, comes back down to $690. Why did the stock have such a tough time breaking $750? Okay. Well, what makes a resistance level on a chart is sellers. A chart doesn't show you where the sellers are. The future does. What is the future? The level three. And if you look right here, there's a 271,000 share seller at $750. Right here in the middle, these are chats by my traders, my students, including myself and instructors. And look, Fran made $0.25, Ken made $0.31, $0.20, $0.40. You know, just multiply that by a thousand shares, $250, $310, $420. Do that every day, guys. Today's a six-figure salary. Is there everybody following along? Did I lose anybody? Robert, did I lose you? I didn't see you answer back. Everybody following along? Jeff, Donald, Derek. Everybody following along? Good. All right. So now let's have a little fun. Okay, let's look at this chart right here. I need all of you guys to answer this question. What do you think the stock, in theory, is going to do? Is it going to go up or go down? Let's see how you answer this. If I'm not a day trader, but trade over multiple days, weeks, what do I do? Well, John, I'm going to get to that question, but I'm telling you right now, John. We're going about your question. You want to be a good swing. That's basically swing trade. Anything overnight is a swing trade. You want to be a good swing trader? You damn well better learn how to day trade first because if you don't, you're going to blow up your account. It's the movement what happens over the course of the day, which will give you a sense of direction how to do a swing trade. Jeff says, I can't tell. Jeff, maybe you can't tell. What do you need? What more do you need for the stock to tell you the direction is? Is it making a higher high? Is it making a lower low? Is it lower the day? Is it high? All I'm asking, what is the trend? Okay. If you said it was going down, congratulations. You're absolutely right. Okay. What more do you have to ask? Now, this is the issue and this is what we teach you at Cybertrain University. Let's just say hypothetically you had the stock at 27. It's at 2640.  What do I do? Where do I get out? My thing is this. What's going to help the stock to go back up? What do you need? What do you do to know when to get in and when to get out? You need buyers, right? Wow. Look at that. Roy just said it. One word, not even like a, you don't need a Fibonacci. You don't need a MACD. You don't need to check with Kramer or call your financial. You need buyers, right? Forget about all that other junk. You need buyers. How are you going to find the buyers? How are you going to find where the buyers are in the stock? Oh, look at that. Pamela says we got to check level three. All right. Let's go check it out. So what happens when you have a 58,000 share buyer at 26? And not only is there 58,000 shares, there are 90 different orders out there. Not one, not 10, 90. That means there's 90 different people all over the world. Right now I have an order in Uber at 26. So how money says to get out? I don't know what you mean by that. My thing is this. What is going to prevent, you have to understand something, everyone. What did I tell you earlier? Our job is not to teach you how to make money. Our job is to teach you how to stop losing it, right? Otherwise, if everybody's making money, what do you need to learn, right?   Stocks go into zero? What do you need? You need buyers. You need buyers. So what do you have right here? Boom. Big buyer out there. So what do you think should happen at that price? Exactly what the stock end up doing. Stock hit a support level right here. Hit 26. Boom. It went to 27. Okay.  There's your buyer. And at 26 and not even within a minute, it was hovering there for 20 minutes. The guy was out there and what the stock ended up doing now went from 26 to 2740. By the way, did you need indicator to tell you that? Guys, did you need indicator to tell you that? Did you need someone to tell you that that was support levels or you just figured it out on your own? You see, when I first got into this business, I'm sitting there looking for my mentor and I'm like, nah, that can't be that easy. That's not, you know, by the way, is that a real order? That's another thing. Is that real? You want how real it is?   So the thing is, there's no real science to trading other than trading is no different than, you know, buying and selling snowflakes, you know, to Alaska or buying cars. It's all about supply and demand. Food. Everything's got supply and demand. How do you follow supply and demand? You look at the orders. You just got to know how to play the game. Most people don't take the time to learn how to play the game. They always look for somebody else to tell them how it works. And what I'm looking for, ladies and gentlemen, I'm looking to teach people like you to go out there so we could find these orders because there's no platform out there that does that for you. Okay. But if we all work together and we all trade, you all do great. Don says where you find these orders. Don, just like I said before I even started, do you have level three quotes? Okay. And 99% of you don't. And you know why you don't have it, Donald? You want to know why? Exactly why 99% of the people lose money today. 99% of the people, well they all lose money, but 99% of them are self-taught. Okay. Don, did you ever work for a trading firm? Roy, you ever work for a trading firm? Patrick, Tom? Roy? No. And you know what? That's okay. Wouldn't it be nice to learn from someone that did? Okay. So that's basically what my goal is when I'm trying to explain to you. Listen, you want to learn how to dig for oil. You go to Texas, go to California. You want to be a movie star? You go to Los Angeles. You want to learn about the stock market? You got to learn people that worked in the floor of the exchange in New York Stock Exchange in New York like me. That's where it comes down to it. Right. And let me tell you, it's really not that hard. Now, let me tell you why a lot of people don't have this data. 25 years ago, when I was introduced to this, now it's 25 years ago, I'm like, I'm in. I'm sold. I'm sold. I want, I want in. I want in. I want it. This looks too damn easy. I could figure it out.  You know what my boss told me? He says, great. By the way, this data costs $1,000 a month. Now, I can almost promise you this.  If I said I want $1,000 a month for you to get this data, I know for a fact 99% of you are not going to move forward with Cybertree University. Even though you're like sold on it, you might kind of do it. Okay. But guess what? It's not $1,000 any month. How about this? It's going to cost you $9. All right. And you know what? Even half the people here, my name is spend $9. I'm like, yeah, but you know what? I can get free trades. My brokerage firm gives me free software. Listen, if you're somebody that's looking for free tickets, free software, you're in the wrong place. Okay. If anyone could tell me if there is such thing of free lunches out there without a catch, I want to hear it. There's no such thing. All right. You want good quality trades? You want good software? You want to trade right? You want great education? You're going to have to pay. Because guess what? We here right now, I'm going to teach you how to trade against the people who want the free stuff. All right. Those are the people going to lose all their money. I hate to say it. And I'm just being very honest with you. I'd rather be straightforward with everyone here than you do it right or you don't do it at all. Okay. So let's move on. Let's talk about it. Okay. Let's look at this trade right here. Now that we bought Uber. Okay. We bought Uber. The other goal is this. Okay. Where do we sell it? Where's the resistance levels? So could you guys tell me where the resistance level is? Where would you think without using an indicator, without using a chart, without using all these crazy tools that these brokerage firms are trying to convince you you need? Where do you think resistance levels would be in this stock right here? If you don't know the answer, just give me a question mark. Just give me a question mark. All right. So you know what? If you said $28, congratulations, you're absolutely right. Without looking at anything, just think about it. I'm not going to buy $60,000, $57,000 shares of $28,000. I mean, you're talking about a lot of money right there. Somebody's out there doing it, right? So in theory, if I bought it at $26,000 and I sold it at $28,000, $2,000 shares, $2,000 I made on that stock on the day, half a million dollars, who doesn't want that job? Okay. Talking about drinking the Kool-Aid, because I sure did when they told me that. Well, guess what? What does this stock look like it's doing? What does it look like it's doing? Look at all the time in sales, green, green, green, green, green. Look at all the stocks going. Look at this. What do you think the stock's doing, everybody? It's going up, right? But wait a minute. Didn't we say the resistance was $28,000? But when the most people are not looking at that, they're looking at this. They're like, wow, look at that stock. The trend's going up. It's breaking higher highs. Look at all those transactions. I mean, this thing is just on a tear. Yeah, okay, great. How many of you have level three again? How many? Not that many, right? Guess what? If you didn't know that there was, if you didn't see that order out there at $28,000, look where it ended up. It went right back down to $27,440. Huh. Let me know how that works out for you. How many of you guys sat down like, I don't understand. It looked like it was going up. Everything, it was like a perfect storm. I'm like, this stock's going back to $40,000. They're talking about on TV. I just got a news report. I subscribed to this guy.  Okay, no problem. Did you subscribe and see where the orders are? No. And you know what, Tom? Tom says, not me. You know what? That's okay. All right. That's okay. Don't worry about it. It's fine. Because now you finally could say, I finally met somebody that kind of now makes sense to me. You all knew this stuff existed. You all knew this stuff is real. You knew this stuff that there was stocks driven by supply and demand. You know how you weren't able to get that data? Because you didn't find the person to teach you yet. And that's why I'm so happy you guys are here. By the way, I'm going to show you all this stuff live because I do practice what I preach in my trading room. You're all going to get access to this. Would it be nice to see this live and see if this does really work for $9 for nine stinking lousy dollars? Anybody have $9 to spend? Anybody have $9 to spend? $9. Does that sound like a lot? Nine bucks? Why are we doing it for $9? I'm going to tell you later, okay? I'm going to tell you later. But if you can't spend $9 on this data and you're looking for a nice six figure salary, trust me, you shouldn't be trading at all. So what do we do here? You could swing $9 jungles. That's good to hear. So anyway, let me tell you basically what we call these. I call them iceberg orders. I came up this word about 20 years ago because of the movie The Titanic. Really briefly, we all know what happened to Titanic. Great movie. I cried. I hope probably you did too. Most unsinkable ship. And why did the ship sink? Because the guy was looking on top. They didn't realize what was on the bottom of the water. And that's why people sink when it comes to trading. They think they have all the good looking tools, the good looking ship, the good looking platforms, the six monitors. Not realizing it and spending the right money on the right tools. And that's why most of them blow up their accounts.  They want all these crazy indicators. You know what the problem indicators are? They're always right. You know what invented these indicators? Mathematicians. Now listen, I'm not going to knock them because I have some good friends of mine that would be a little upset with me. It does work for swing trading, long-term trading. It does not, and I will repeat, it does not work for day trading because us day traders, we only work an hour a day. We just trade the first, most of our trades we do in pre-market, basically. That's really what we do, you know. But that's basically what we look at. But anyone ever heard of level four? Now here's another thing. We're talking about level three. Anybody heard about level four? Okay. Well, here you are like, wait a minute. There's a level four?  And level four is where not only we're going to see the orders, but I'm going to show you how long they've been out there for. Okay. Like right now, here's a stock. I just want to bring this over to you. And if you look right here, we're looking at Uber. And Uber, we've been trading it, and just look what happened to Uber right here. It went all the way from this morning from 2850, all the way up to about 2950, came back down, went back up, bounced at 29, 2950. And if you notice these red lines, 31,000 share guys supporting it. He's been out there since 10 o'clock. And then this guy's been out there since 930 at 2950. Look at all these red lines out there. That's called level four. Listen, you want to make money guys? Do it right. Trading is a great job. You just got to learn how to keep it super simple. It's called the KISS method. That's what we preach. Okay.  Don't even trade. I always tell people, I'm like, really? Who trained you? Who really trained you? Oh, you know, what does that have to do with it? It has a lot to do with it. Did your child learn how to drive a car on his own? You just gave him the keys.  Let me know how that works out for you. Okay. And that's right, Donald. A lot of people complicate things. It really does. And it doesn't have to be like that, Don. It doesn't have to. It all starts with just a lousy $9 to learn the real truth. At least you can know the real facts of a stock that you're in. Do we have any options traders out there? Of course it does. It works for ETFs and spies. We trade them all the time. I'd personally rather trade something less riskier, but why not? You trade a little bit, John. Do you know that to be a good options trader, how do you know what the option is doing if you don't even know what the stock's doing?  Yeah. People like because of leverage. That's not why you're supposed to trade options.  I mean, yes, technically it's for leverage, but sometimes it's cheaper just to trade the stock. You don't have to always jump to the option. It's 10 times harder. By the way, who's richer? The guy that owns the house or the guy that rents the house? You know, so you figure it out. Listen, every single one of you need to learn from mentors. Now, I'm just telling you that I know we have swing traders here, forex traders, options traders, day traders. I just personally like to day trade because I like to sleep at night. You know, that's really reason why. I mean, we do swing trading, but we do do some options trading in my trading room, but it's like maybe like 5-10%. You know, it's just, I've just learned that, you know what, you can make, we got some stocks that were up to 300 a day. How did you guys see like, get a really nice one the other day? Did anybody see the KRTX trade? Let me just put that in the trading room. Anybody see that one? Let me bring this up here.  You know what that, you know what this is? Look at this. Stock goes from $20 all the way to $150 in one, two days. When's the last time you guys have ever seen a stock go from $30 to $150? Anyone ever been in that? It's like a unicorn. I heard about it. I've never seen one. Okay. Guess what? We do it every almost, we do it probably once a week. Never. Guess what? Would you like to see it? You're going to get the opportunity to. So, but the thing is this, it's not about making those big, big moves. Okay. It's all about just making a day's pay. How many of you, like I said, are retired? How many of you are in Social Security? How many of you would like to just take care of your kids? How many of you are getting pushed out of your job? Because like I said, younger generations, they want a cheap corporate America. How many of you IT professionals, engineers? You know, we have, I trained so many great people in this world and I love it. You meet such great people. But we just want to learn how to, you send me retiree, Tom. Guess what? 80% of the traders in our room, 90% of them are between the age of 55 and 90. You know what I mean?  But you don't got to make a lot of money and make a very nice, successful career. You don't need a stock to go up 20, 30, 40 points. You need 50 lousy, stinking cents. That's all you need just to live. Look at this stock in one hour, 50 cents. How could you go wrong?  But you got to learn before you could earn. And it all starts with $9. So this is what we're going to do. I want to invite all of you guys to come into my trading room, the original trading room that I started. And I want you not to judge us on the winners, okay? Because the winners are a joke, all right? It's the losers you guys got to focus on. Because you know what's so funny? I get so annoyed. You always get people bragging how much money they make. Nobody likes to talk about the losers. Well, guess what? You judge us on the losers. And you'll see that we really don't have that many of them. But most importantly, how we get out of them. If things don't go our way, I'll teach you something called the 30 second rule. You know, the three strikes are out rule. You know, nothing crazy. But we start trading at 8 o'clock in the morning and we're usually done at 10.30. That's it. Live audio commentary and you're going to get everything guys. You're going to get live trading. You're going to get a watch list. I mean, if this is all live, all live. So, and then you'll see why Cybertrain University has a five star rating on Google, which is very, very rare. And you'll see why Cybertrain University has been endorsed by more brokerage firms in any school in the industry. By the way, that alone should make you feel confident that you got to reel somebody good on your team. Because you know what? Brokerage firms have a lot to lose. And by the way, if there's any of you ever do business with anyone, you better make sure that they're dealing with some of the big brain named brokerage firms, because they want you guys to be educated. Technically, they're not allowed to do it. But they do background checks on us, credit checks, everything. You think they would endorse us if they thought we were teaching people how to lose money? So I just want you to just remember that. So this is what I'm offering everybody, $9 one week in my trading room, money back guaranteed. Listen, I don't need $9. Okay, let me tell you why I'm doing this. I'm doing it for $9 because I want to train people how to trade so we have more eyes and ears in the trading room. Now listen, a lot of you guys might not qualify after in the trading room because you'll realize it maybe just not, you know, it's not for you. And that's okay. And I'll give you $9 back, but I'm looking for people that want to be, you know, looking for this kind of type of a job, this type of a business so I can train them so we can make money together. And you're going to get, this is what you're going to get for $9, by the way, you're going to get the access to the cybergroup trading room, three daily market meetings, a morning and afternoon watch list, your own personal education advisor, a live Q&A trading session. Could you imagine you actually calling someone and answering the phone? You know, people like, really? People don't even have their phone numbers on their screen or their emails. No, you're going to get all this for $9. Okay. And as a bonus, as a bonus right now, you register right now, you will get a personal coaching class with me.   I'll tell you what you have to offer, because I'm going to interview you. And once you go through the trading room, we're going to see, you know, do you want to do this or not? You know what I mean?  I'm looking to make thousands of dollars with you, because we're going to trade together. You're going to learn how to get good content, everything. But it all starts here. So listen, click on the link right now on the screen. $9. You got nothing to lose. See, let me show you how to read level two, level three, level four. Let me show you how to find these stocks, how to trade in pre-market. Just basically how to follow the money, doing the dream you always wanted to do. All right. Now, just a couple of shout outs. I've got a couple of people that just registered right now. I came across Rebel from, where is that from? Colorado, just got your registration. Look forward to talking to you. We got here. We got Mike from New York, got your registration. Don't have the link, should I call you the number? The link should be right there. But let me put the link up there again, ctu.co. Trying our homepage right there. Here's the link right here, again. Everybody got that link? There you go. The other link probably is not working. No, it's actually working. It's actually working right there. All right. By the way, any questions in the meantime, guys? Any questions? It looks like some of you probably clicking on the registration. Listen, you got $9. All right. Think about this for a second. Remember I told you when I started, it was $1,000 to get this data? Now think about how many of you guys right now are jumping over hoops to spend $1,000 right now to just find out level three quotes. Well, it's not $1,000. Now it's $9. And not only that, but you're going to get to talk to somebody. You're going to see it live in the market for a whole week. You know what I mean? There's a lot of good stuff that's coming along with that.  You're wasting your time. Stuart, do we do futures? No, but Stuart, if you want to learn futures, you can always send me an email and I'll be happy to recommend two or three people to you. Listen, there's not too many good traders out there that know futures. So you got to be careful. You don't get scanned by somebody else because some of them don't really know what they're doing. Carrie from Canada, I mean from, no, I'm sorry. What are not created? California's got your registration. Okay. Any other questions? By the way, when you fill out that question, fill out that trial subscription for $9. You want to see, oh, here, he's going to learn this in the room. So you're going to, to activate it, you can talk to an education advisor.  Listen, you're going to get a crash course day trading video to watch. You're going to get a couple of videos that's going to tell you some of the lingo that we're doing. And by that, you'll at least know when you get into the room, what's going on.  So that's basically a lot we're going to cover. I can't start until Thanksgiving and I would like to trade futures. Well, listen, by the way, you don't have to start next week. This promotion, like I said, lock in the rate now. And when you talk to education advisor, he'll get you ready to start immediately. Personally, I would start like today.   We're just killing it, killing it. You know, this is actually the best month to trade. Go into like the second week of December. Another people I want to thank, Jeffrey Smith from four miles, Florida's got your registration. Listen, you're going to notice that there's a questionnaire. That's going to ask you a couple of questions so we get to know a little bit about you. So when you see that, let us know a little bit about you. It's going to help us to kind of make sure we put you in the right program so you know what videos to watch. We really, really take the time to give you great customer service. Okay. Any other questions? You're more than welcome. Mark, about the day trading rule, listen, don't worry about that right now. Okay. You're going to tell me, is that what you worried about spending $9 than a $25,000 on day trading rule? Do you sell favor? That's the least of your problems right now and there's ways that that's not going to affect you. Why don't you pay $9 first and then we'll worry about that rule. Okay. That's really comes down to it. That's one of the reasons why people lose money in trading because like, oh, but I can't do that because that's why I trade futures and options. That's a misconception and how do I know that because I was part of that whole, you know, that whole thing that ever happened. A couple other people just registering. Stuart from St. Thomas. Who's that? Must be another country. VIR, I don't know where that is. Is that Virginia? I mean the Virgin Islands? I guess Virgin Islands. All right. What else? Any other questions? Lance from Buffalo, New York. Just got your registration. Susan from... Is that from Ireland? Okay. Welcome. St. Thomas. All right. There we go. All right. Thanks. All right. Any other questions guys? Because I got to get ready to trade the clothes. So I want to get back with my traders.  Any last minute questions, everyone? All right. Listen. Before we go, I know some of you probably do the middle process of registering for $9. Can I just tell you something personally? I want you to understand, trading is not for everybody. Okay. And some of you are going to move forward to Cybertrain University. Some of you are not going to move forward. And listen, I'm not going to get insulted. You know, I'm not going to... Listen, it's your money. It's your $9. It's not mine. And by the way, you're going to be there for a week. You just be there for one day and you'll get it. It's a cup of coffee, honestly. Think about what other people told you. Oh, you can't do that. You can lose your money. Listen, you don't have to spend a lot of money in trading. Sample it. Just try it. And just see what the truth is. And then, you know, you guys are very, very smart. You can figure it out on your own. Don't believe about the fake news, you know, that's out there. People try to say, oh, don't do that because they push us away. You know what? You're smart enough to figure it out on your own. Come out there. See why we've been in business for 25 years. See why we've been endorsed by more brokerage firms in the industry. See why I'm one of the original souls bandits and a 12-time world champion. And most importantly, see if our students make money doing this. And then you make the judgment and say, you know what? They're right. It's not for me. Okay. And then we'll go from there. But don't lose this opportunity and going out there and doing it and not learning it. Just because you're doing something else doesn't mean you could do that. Listen, we had Tom Sosno from Tasty Works yesterday. Very good friend of mine, the founder of Thinkorswim. He even said himself, it's not a one market anymore. Everybody's trading a little bit of everything. You have to. You have to understand what's going on. So go out there and learn it first. A couple more shout outs really quick. Jerry, I just got your registration from Indianapolis. Indianapolis 500 days. All right. Go Colts. Jeff, is there a survey in the email? I'm not on the subject. Jeff, is there a survey in the email? I'm not on the subject. Jeff, is there a survey in the email? I'm not on the screen registered to collapse into upper right hand corner. Well, the questionnaire Jeff is when you register for the $9, then it's going to go to another page and it's going to ask you a couple of questions because we want to know who to, you know, make sure you have the right brokerage account. Make sure that you have the right you funded properly. If you, by the way, and if you took class with somebody, oh man, that's even better. That's even better because if you took a class, let us know who it is. And I'll tell you if you made the right choice or the bad choice, and it kind of makes things so much easier. You're going to learn a lot quicker if you took education from someone else. I did in it and vividly disappeared. Okay. Well, you know what? We'll send it to you back. Jeff, you know what? When you talk to your education advisor, he'll just ask you the same questions again. It just makes it a little bit quicker for us. Okay. Who else we got here? From Rome, New York. Was that upstate? Not too far from us. Beautiful. Harry from Etamin, Annamin, New, Alberta. By the way, I went to that mall. I actually, you ever heard of a town, Henry called Red Deer? So I had a student of mine that flew me up there to train him out of his house and he lived in a small town called Red Deer. And from there, I went up to and saw the mall, the mall of America. It was a really cool, gorgeous place. But I never, I never saw moose in a Target parking lot. Those things are huge. It was so funny. You're more than welcome. All right, fellow traders. Thanks for coming here. Thanks for listening in. And you got the link up there on the screen. Feel free to click it once again. Go out there, sample it, and then make sure when you do register, make sure to click your appointment because next week it's a big holiday here in the United States Thanksgiving. So try to focus something on a Wednesday or a Thursday. We'd like you to see at least a couple of days. Listen, I think next week, and this week is extremely volatile, and maybe not on Wednesday, but you never know. I mean, with everything that's going on, it's been a great market so far. So thank you very much for being here. Appreciate everybody. I'll see you in the trading room. Thanks, everybody.


Welcome back to theCUBE's coverage of Red Hat Summit, 2021 virtual, I'm John Furrier, host of theCUBE. CUBE virtual, we're remote, we're not in person this year, like last year soon. We'll be back in person. We've got a great guest here, Mark Potts, managing director at Accenture for the Red Hat relationship. Mark, great to see you, thanks for coming on theCUBE. Hey, thanks for having me, John, I really appreciate it. You know, we've been covering pretty extensively throughout this event as well as, you know, the many, many years, the impact of cloud computing. Obviously, you guys have a really big strategic relationship with IBM and now Red Hat, Red Hat's part of IBM. It's pretty clear that, you know, that Red Hat's got this operating system mindset of open source and, you know, innovation. It's extending into cloud, cloud native and Edge, distributed computing. That's kind of in their DNA, if you will, distributed computing and system software and open source. Kind of the perfect storm. So really interesting as this enables new services.  So I want to get your take on Red Hat and what you guys are doing together. But first, give a quick overview of Accenture's role with Red Hat, your role there and what you do. Yeah, thanks, perfect, John. So Mark Potts, as you mentioned, I'm the managing director responsible for our global business with Red Hat and our partnership with Red Hat. As you probably saw in our announcements last fall around the September timeframe, Accenture made a very large bull announcement about forming a new cloud-first business unit within Accenture. And so we're going to invest $3 billion into that business unit. We're going to dedicate over 70,000 people worldwide to that business unit and that cloud-first initiative. And as part of that cloud-first initiative, we've also developed our new hybrid cloud strategy. And we're looking for new partners and existing partners to help us grow in that hybrid cloud strategy and that hybrid cloud business. We see Red Hat as a very important partner in that business. And as you mentioned, they've also been in the distributed computing for a long time. We also see them as a partner for clients that are lifting and shifting and migrating to the cloud on rail, like SAP and other workloads like that. And I'm excited to talk to you today about OpenShift and Ansible and all those great technologies that Red Hat brings to the table for our hybrid cloud approach strategy. It's awesome, great investment. I love what Paul Carmillier was saying on his keynote. Every CIO should be a cloud operator. I mean, running business at scale. This is what hybrid cloud is all about. And so with your new hybrid cloud strategy and the formation of the new business group at Accenture, what kind of challenges are you guys looking to solve? What are the opportunities that you're seeing for companies? How do you guys solve those challenges? What are you guys looking at right now? Yeah, it's a great question. And as you mentioned, the keynote. So, Karthik Narayan, who actually runs our cloud-first business was actually part of that keynote with Larry Stack as well, or Larry Stack, sorry, as well. And so, he mentioned in his keynote something called the cloud continuum, right? And so, historically Accenture has been working with our partner on cloud-native development, moving to about 20 to 25% of the existing workloads in the data center, the easy stuff to the cloud, right? But now we realize that there's a need for the hybrid cloud. There's a need to modernize maybe on-premise. There's a need to maybe modernize in the cloud one way or the other. And then we also look at the holistic view of cloud on-prem edge. And that's what Karthik's talking about when he's talking about the cloud continuum. And that's a very important part of our strategy within Accenture. And OpenShift really helps us meet those needs. So, if a client is a little bit nervous about taking some of those complex workloads, but they want to modernize and they want to use the latest and greatest cloud-native technologies, but they want to do it on-prem and move to the cloud a little bit later, they can do that with OpenShift, right? And Red Hat, that's a great platform for that. Maybe it's a client that wants to lift and shift and get to the cloud as soon as possible, close their data centers, save that cost of money, and then modernize later, but they don't want to necessarily be locked and want to be locked into one cloud provider. Again, OpenShift is great for that. Take those legacy workloads that you move to the public cloud, modernize them on Red Hat, OpenShift, maybe it's Rosa on AWS, maybe it's ARO on Azure. And then when you're ready to, you can move those to any other public cloud if you'd like to when you're ready to, right? And that whole control plan as we call it, being able to see across public cloud on-prem, the edge is really important for our story and our strategy and Red Hat, OpenShift and Red Hat, the satellite and those technologies bring a lot to the table for us to meet those needs of our clients and customers. That's great insight there, Mark. I really appreciate that. And one of the things it brought up when he was saying that, I was thinking myself, okay, the cloud conversation has many evolutions and go back five years was, oh, move to the cloud. Everyone was moving to the cloud. That was the big discussion point. Now it's enterprise ready to cloud, get that next level scale. And as you know, in the enterprise, we do everything complicated. It's a lot of legacy and it's existing stuff. So this is the next enterprise at scale is the conversation that includes hybrid multi-cloud around the horizon. So with that, can you expand on what you mean by this cloud continuum that you refer to, that essentially refers to, and what is needed to make it a reality for customers? Yeah, I mean, what's really needed is the latest greatest in hybrid cloud technology like OpenShift and what Red Hat brings to the table. It's also new skills and new capabilities and policy management and those types of things that are important for a company to decide when they're ready to move those workloads to the cloud. They need the ability to see across their entire infrastructure, like I mentioned earlier, whether that be a public cloud provider, or whether that be in their existing data center in a colo or on the any edge, like in a retail store or something like that. We need the ability to see across those, that all that infrastructure is a single control plane so we can manage and know where things are and feel confident about security and everything with our clients. The other big thing that we need is skills, skills to build the migration, the modernization and more importantly, the interaction and integration into legacy workloads like the mainframe for example. Accenture's got a lot of use cases leveraging Red Hat OpenShift for a cloud coupling solution where we interact and build new applications that connect to the mainframe, sitting right next to the mainframe, but they're new digital mobile applications, web applications that can be quickly modified and deployed into production at a rapid pace, right? And so when we look at everything that's needed, it's skills, it's technology partners like Red Hat and then it's really building assets and offerings to help make that journey for our clients better and secure. We just found out here at the event that you guys at Accenture have been recognized as Red Hat's global systems integrated partner of the year for North America, congratulations on that. What do you see as some of the key reasons for the recognition? Was there anything that they called out in particular? Obviously you guys have a great track record, well-known brand, you're known for, you know, creating a lot of value for companies as they do digital transformation. What's the recognition for this year? Yeah, and we're super excited about this, right? I mean, this is, we've been partners with Red Hat for a long time. I think we are one of the first system integrators if not the first system integrators to partner with Red Hat many years ago, right? So to get this award and get it for the first time is it's super exciting for us, right? And so we're very grateful for that recognition and opportunity. You know, I think what really what really got us the recognition for this award was really the effort we put into our partnership over the last 12 to 24 months, right? We had a really big business in Europe with GDPR and the risk averse of going to the public cloud in Europe, OpenShift and Red Hat really have taken off. In North America, our business was lagging behind Europe and we significantly invested with Red Hat in new offerings and new clients and new people, right? New talent to build a better business and partnership in North America. You know, I think a lot of the things that we got recognized with were what I mentioned earlier. Some of our cloud coupling solutions for an insurance client in North America where we're building cloud native applications on Red Hat, OpenShift sitting next to the mainframe. We're building new cloud native applications for a transportation company in the South region of the US, right? So it's really that business transformation work that we're doing, working with the legacy but building new core applications for our customers that are truly portable, nimble and agile and they can use to get speed to the market and get to the cloud. Cloud First organization, you guys are investing billions of dollars, three billion that was referenced, I saw an article, I think we covered it as well on siliconangle.com. Congratulations, Cloud First also implies that cloud native is going to be there. Mark, in all your years in the industry, talk about from your personal perspective and even from a century, the shift that's happening because it's almost mind blowing what's going on in the sense of so fast this is accelerated, even the pandemic accelerated even further. The opportunities that are available now that weren't there before and what it's done to the project timelines and what it's done as a forcing function. Could you share your view on the reality of the current situation and opportunities for companies to take advantage of that wave? Yeah, and I think Accenture's done a great job talking about this recently, even from our C-suite down, right? And Karthik will mention this as well as Kino. I mean, we are seeing an acceleration to get to the cloud. That was completely unplanned for us. I think the numbers I heard was we thought most clients are going to get to the cloud in eight to 10 years and be fully in the cloud in eight to 10 years, but that's accelerated with COVID and the pandemic, right? We're looking at four to five years. We think most of our clients will be, you know, majority of their infrastructure and everything and new applications and legacy applications will be in the cloud, right? So the change and the impact that the pandemic had a significant impact on our customers and their need to get to the cloud. We've even seen those that were leaders in the cloud journey accelerate even more, right? And they're being rewarded for that acceleration, right? A lot of our customers that were first to cloud are seeing the benefits and seeing the ability to scale for the pandemic, like a lot of our customers in the US in particular. And I think OpenShift is going to help us with that, right? And Red Hat in particular. And let's not be lost on the fact that REL is a great product out there as well. We have many of our clients that are running SAP on well and that lift and shift and moving SAP to Azure or to AWS or Google or something like that is a viable solution for it to help accelerate our customers as they expand, right? We've seen internationally a lot of our customers that have been really focused just in their local region are now expanding their business outwards and now they need to get to the cloud to be able to expand those businesses. You know, it's interesting, Mark, as you know, just as we were talking, just think about my experience over the years in the computer industry, everything had to display something else, disrupt something. You know, the mainframes were disrupted by client server. Now we're living in an era where with the containers and microservices and service meshes and cloud-native technologies, you can embrace existing legacy and abstract away some of the complexity on the integration side, right?  And I think this phenomenon has opened up a new class of services. And you know, the people I talk to and interview the leaders in the industry all have the same kind of view. And the ones that stand out are the ones that recognize that the operating system of business will be software. And that software hasn't yet been built in clouds at the beginning. It's not just, you know, one cloud. So I think what's interesting about Red Hat is that they're operating system people. You almost see, you know, Arvin kind of snapping the lines and kind of cornering the market on the operating system for business. And applications then are a thousand flowers that bloom from that. So very interesting take here. Again, that's my opinion. I don't think they've said that formally, but if you look at it, that's kind of what's going on. What's your reaction to that? I think you're a hundred percent right. I mean, you know, I also carry a little bit of the responsibility on the IBM side. And you mentioned mainframe and I mentioned mainframe a handful of times, right? There's a lot of customers that have this legacy estate like the mainframe in particular. But they need to be nimble, right? I need to be agile and mainframe is a challenge sometimes around that, right? And so to your point creating those applications that participate with the mainframe allow the mainframe to participate better with these cloud native applications and these new digital transformation applications is a very key component to it. And so I a hundred percent agree with everything you said. And I think we're going to see more around this operating system type software. And almost to an extent, you kind of view Red Hat OpenShift as kind of that new operating system, right? And you look at some of the announcements that Red Hat has made around Palantir, right? And adding Palantir and ISVs to their, to marketplace to allow customers that have bought OpenShift or make it easy for clients to buy Red Hat OpenShift and then bring in these ISVs that have been certified, they're secure, they're easy to consume and buy it through Red Hat's marketplaces is very exciting and very interesting and very easy to do, right? Once you get that Red Hat OpenShift layer and they're that operating system now you're bringing in products all over the place, right? And all the new stuff. And I think we're going to see a lot more of those announcements during summit as well. Yeah, I think it's a 20 year run here and it's trillions of dollars as it's been forecasted. Mark, great to have you on. Super valuable resource, great insight. Well, we got you here. Let's get a quick free consulting minute here for the customers watching. What's your advice? I need some help here. I want to go to the cloud. I want a good, I want enough headroom so I can grow into. I want to foreclose any opportunities. I want to move to the cloud. I want to have a hybrid distributed computing architecture. I want to program my business. I want infrastructure as code. I want DevSecOps. What's my playbook? What should I do? Yeah, so sensors got a real smart approach and strategy around this. We leveraged an assessment approach really to look at what's in your data center today and what you have from an infrastructure and application standpoint. We actually call six hours. We have a seventh hour where it can completely rewrite an application. And we would apply those six hours or seven hours to that assessment to help you figure out the disposition of your applications and your infrastructure to figure out what is the right cloud? What's the right journey? I mean, we talked about the mainframe and mainframe being an anchor in a lot of our clients' data centers. How do we move those applications that have data gravity challenges to those legacy applications to the cloud? How do we consider that? So the right way to do it is take a holistic approach, do the assessment, do the disposition of your applications and then let's let Accenture put together a full plan of how we would migrate you into the public cloud. Mark Pots, Managing Director of Accenture. Congratulations on your North America Award partner of the year and also awesome to hear. And we've been covering, again, Cloud First. Totally believe it. Great investment. That's going to pay back huge dividends for you guys and having the hybrid, which is pretty much determined as a fact now in the industry. Congratulations. Thanks for coming on. Robert, thanks for having me and thank you Red Hat for the award. Really appreciate it and look forward to talking to you very soon. All right. This is theCUBE's coverage of Red Hat Summit 2021 virtual. This is theCUBE virtual. I'm John Furrier, host. Thanks for watching.


Hi, everyone. My name is Meera.  I made this presentation at 3 a.m. last night and I was of course highly caffeinated. So yeah, please just cut me some slack. I wasn't even sure if I was going to give this presentation or this talk, but I know that I gained a lot from my experience here at Fedora and I wanted to share that with other people. I know it's quite early for some of you, so I'm very grateful for everyone who is here. Okay, so name covered, okay, former Outreachy intern. So I became a part of Fedora throughout 3G this summer. I was an intern with the design team and I worked on improving and creating designs for Fedora's initiatives and events. So I'm just going to show some of the stuff that I worked on during my internship. So I made this budget template and these infographics. This is actually for the DNIT. This is my favorite one. And there's also mention of Fedora women's day here. I started working on the Zine. So this was a cover concept and a couple of artworks. And this is actually a project I think for the winter cohort of Outreachy. So that's exciting. And just some other stuff that I worked on along the way. I also gave a talk and I held a workshop on Fedora badges during NEST 2020. So I took Marie's badges design workshop and I gave a talk on the basics of Inkscape and did a little demo.  And it's actually on YouTube right now on Fedora's official channel. So if anyone wants to see, they can go right ahead. So if I want to talk about my biggest accomplishment here at Fedora, it's actually an invisible one. And I don't think a lot of people know about this. But it was overcoming imposter syndrome. Sort of overcoming imposter syndrome. So to give you guys a little bit of background, a couple of years ago, I decided to pursue the engineering track. And from that moment onwards, I received a lot of friction from the people around me, my friends, my family, the community. People would tell me that I was not meant for this and I should pick something easier, something that is more fitting for a woman. I, of course, ignored all of this. And then I got into a really good engineering college. But by that time, I had heard that I wasn't worthy or I wasn't good enough so many times that I'd actually started to believe it. And so when I got into my college, I felt like I wasn't worthy of this opportunity, because that's all I had been told. I was patronized. I faced blatant sexism, harassment, microaggressions, mansplaining. Everything a woman or a minority in this time field is subjective. And all of this sort of contributed to my imposter syndrome. And I started to feel like I was a fraud. I was an imposter. And to overcome that, and as a result, I started to work more because I wanted to prove that I was worthy of the opportunities that I was getting.  I actually can do more than you guys give me credit for. So around the same time, I started my own business. I am very good at making stuff like painting crafts. And I had an Instagram page that I turned into a very profitable business. I was also approached by a company. I was also approached by company that was in a similar field. And I actually worked part-time as the Creative Director. I participated in various clubs in my college in various event organizing teams. I took workshop.  I volunteered. I was trying to get good grades and somewhat accomplishing that. And I did everything I could. But it still wasn't enough. I still felt like I wasn't working enough or that I didn't actually know anything. And I was just faking my way through everything. I felt like an imposter. I never realized why I overworked so much until I actually read about imposter syndrome or IS. And I realized that I identify with all the symptoms of IS. Also, one more thing that contributed to my imposter syndrome was that failure was not an option for me. For ethnic or gender minorities in a field like STEM, failure is a very critical thing. You can't afford to fail because if I fail, then it's not Smira who isn't fit for this field. It's a woman. I will be reduced to my gender and I will be used as an example or as a cautionary tale for other women or other people of color who are trying to enter this field. And so I had this added responsibility of being a woman, a female engineer or a person of color in this field. And when I actually applied for the outreach internship, there is a contribution period. And I worked really hard. I used to stay up all night. I actually flipped my schedule completely because I wanted to integrate myself in the community better. I used to attend the social hours and I was at like 4 a.m. in the morning for me. So I used to go like I used to attend the social art and work more on my contributions, go to sleep, then wake up in time for college and then do it all over again every day for weeks. And when I actually got selected for this internship, I was really happy but my first thought was why? Why was I selected? There were obviously people who were way more deserving than me and I don't actually do good work. I don't think I am that good a designer that I can actually be selected for a design internship.  So yeah, I don't know if Marie knows this. After this she will, but so we used to have these meetings. Marie was my mentor and we used to have these weekly meetings where she would discuss and give me feedback on my work and whatever I had done the previous week. And I used to be so scared before every meeting. I used to sit right here and I used to be shaking like anything. I used to be so nervous because I felt okay, this is the meeting that she's going to call me out. She's going to discover that I'm actually a fraud. I don't know what I'm doing. I'm not working enough. And this is the meeting that she's going to drop me as an intern. And that was a very bad experience for me. But every meeting without fail, Marie used to tell me that I was doing an amazing job. For three months every meeting, she used to appreciate my work. And that helped me start this journey of overcoming IS. Because when someone tells you for three months that you're doing an amazing job, you tend to start believing them. It was not instantaneous, but there was a brief period where I actually started thinking, am I doing a good job really? And I started to think maybe I am. And then whenever any of my work would be displayed or posted in a public forum, like the community blog or a telegram group, people from the community would show their appreciation and compliment my work. And that would help me because some person across the globe who has never even met me is actually telling me that I'm doing a good job. So I think I might be doing a good job. And so that is how the community, my mentor, Marie, and the community, Fedora community helped me start my journey of overcoming IS. People don't realize, I didn't realize actually that my confidence had been destroyed completely because of IS. And until I recognized and acknowledged that, yes, I am going through this thing where this voice inside my head is telling me that I'm not doing a good enough job. But I have to be stronger than that voice. It's actually not the truth. I have to actively, I still do, I have to tell myself because my natural instinct is to just be like, I don't know this. I don't know what I'm doing. I'm a fraud. I shouldn't be here. And I have to actively counter that. IS affects your confidence so much. For such a long time, I actually believed that I was not worthy of the opportunities I was getting. And it affected how I saw myself and it affected how I presented myself to other people, to prospective employers. I saw myself as someone who had loved their way or fluked their way into an amazing place like Fedora. And it's not that I'm completely over this. Like for example, I'm looking for design internships for next year. And I look at all these amazing opportunities, these listings. And my first thought is, why would they ever take me? Why would they ever pick someone like me? I don't know what I'm doing. There are way more people who are way more qualified than me out there who would be deserving and who would actually be picked for this show or for this internship. And so that is for me the next step in overcoming IS. It is being confident enough to present myself as a capable and worthy candidate. And I'm going to take that step right now. So this is how I'm going to see myself and how I'm going to present myself. So if you or anyone you know is looking for a proficient designer with an amazing work ethic, excellent design skills, and a great aesthetic sense, then I'm the person for the job. So it took me a really long time to believe that, but I think I do now. So thank you. Okay, so that's the end. I'm going to stop presenting. That was a little tough, but yeah, I got through. Okay, let me just go through the comments. Hi, you almost had me in tears over here. Honestly, it was really, it was really touching to hear that story. And you know, I didn't know that you were that nervous before me. But I always, I always had a sense from you that, you know, that verbal affirmation was something that would be helpful for you. So yeah, yeah, and verbal affirmation is a great way to build up even just our peers. Yeah, exactly. You know, appreciating people for the good work that they do. And I think we do a really good job of that. And for the other we try. Yes. Yes. So I'm glad that you found this community. I'm so glad that you found this community. And internship is great. I just want to say that Samara did amazing work. She had, she did have an amazing work ethic, and worked really, really well with the community.  I want to be a part of this. So wish we could have had flock this year and brought you out to meet everybody in person. But I think that'll be like next year or whatever. So I guess currently, I just want to ask you a couple of questions. So currently, what, what do you do with Fedora? So I'm a member of the design team. And so I, my, what I do is I'll complete the design tickets, I give reviews, and currently I'm kind of busy because of my exams. So I can, I can't give so much time. But I try to look at the tickets, see if any, if there's anything that I can do really quickly. Recently, I designed the poster for the Fedora Hacktoberfest presentation and gave some reviews. So that was fun. Nice. That's awesome. And what do you, what do you go to school for? Oh, so I am actually pursuing both computer science and design. So I'm pursuing an engineering degree in computer science and design. So yeah, it's like the best of both worlds, you could say. That's a lot though. That's a lot to take on. Yeah. Yeah, I'm always impressed. And I'm hearing about the other stuff you've done and taken on. So impressed with all of that. I went to just tell you something. Even if you did have that, you would still be worthy of appreciation and love. Yeah.  And I know that I know about imposter syndrome. I've been there and like coming into Fedora space was, as a designer, isn't very difficult. You know, I remember going to a first conference and every single conversation I was like circle, I was standing and I didn't understand what they were talking about at first. But at the same time, they all knew who I was.  Oh my gosh, I can never do that. You're so talented. But you know, like, I got credit for that work that I did. And that, that satisfaction, that like, you know, professional kind of satisfaction is definitely the thing that Fedora can give and help build, build the confidence. Yeah, I remember. Oh, go ahead. Yeah. So I remember during Nest 2020, during Matthew's keynote presentation, I actually saw a couple of my designs in his presentation. And I was so shocked. And it made me really happy that that kind that that was really impactful because I know it sounds silly. I took screenshots also showed them to my parents because I was so happy. But it sort of made me feel like, okay, so my designs are good enough, my work is good enough to be featured in the FPL's keynote presentation. So I must be doing something right. Like, I am actually good enough. So yeah, professional appreciation is great. Yeah, definitely. I've been in jobs where I was micro managed or, you know, even though I did the good work, the amount of appreciation was little to none. And that was it wears on you, you know, and I think it's more in the environment, professional and the community like this, definitely. So we have a script, if you would like to participate. I will go. Okay, cool. Let me go grab it. And copy and paste into the chat. What language will you be speaking? Can be.  I practiced a little bit. I saw this script in the in the in yesterday's presentation. Okay, I need to practice. Perfect. So then you can look right at the camera. Hopefully. For like a couple of a line. Yeah. So whenever you're ready, I'm just gonna mute myself. So there's no. Yeah. Okay. We are from different countries. We speak different languages. We are of different cultures. But Fedora unites us with open source. Yay. And I realized I wanted to add one more thing to the script, which I will do now on official thing. And I also have you say, but we could do it together. I realized the last the Budapest video has that at the end. All right. Yes. So I don't know if we can yell it, but I feel like if we just say it loudly. And then we merge all the voices together. It will sound like a shout, right? So three, two, one. We are Fedora. No, we were off. Oh my God. Okay. Okay. Three, two, one. We are. Oh my God. This is harder on video. Yeah. Okay. Try it one more time. Okay. Three, two, one. We are Fedora. I think it should be faster. Like we are Fedora. Yes. Like we are Fedora. Yes. Yes. I think we have so many takes we can, you know, cut and splice some tracks. We have a fine one. There's so many lovely comments here. Thank you for sharing. You're amazing. Very authentic. Samara is awesome. Well, thank you for coming and presenting at Bidora Women's Day and participating throughout the weekends. We're so lucky to have you in Fedora. I'm lucky to be here. All right. Well, I'll see you around and I'm going to jump off. Bye. Bye. Thanks everyone for joining. I'll also leave, but your votes, like reading your comments actually makes me feel really excited. So thank you.