We till now we had discussed aspects about solid rockets liquid rockets and hybrid rockets now let us look at how to determine its performance we talked about this that we need to understand equilibrium calculations in order to get to know what is the composition of the gases in the rocket motor and then we need to look at what happens when the when these gases flow through the nozzle remember initially when we discussed about nozzle flow we had said there are two assumptions that are possible one is equilibrium assumption wherein we assume that there is sufficient time for the reactions to take place and because of which if you look at the temperatures that are achieved inside the nozzle because there is a temperature and pressure decrease certain kind of exothermic reactions are favored and you will get a better performance if you have equilibrium conditions and if you have the other condition that is frozen condition that is the composition is frozen at the entry to the nozzle then you will get a slightly inferior performance right we can examine those things here with the software called NASA SP 273 earlier it was written in photon language and it was used as such with input file currently there is a front end available to it and it is called a c a software which you can download from the internet it is freely accessible and if you download this software you will find that it has a manual and it has all the other input files example input files that are there now if you look at the folder in which it is there you will have something known as C a ex see when which if you double click you will be able to open the software this needs a Java platform to run on now if you open this this software is a more generic software it it can solve many kinds of problems one is the rocket problem that is of interest to us that is here then in addition to that it can solve the combustion problem that is if you are holding internal energy and volume constant then assigned temperature and volume being constant then enthalpy and pressure being constant that is if you are only interested in looking at the combustion chamber of a rocket motor or a gas turbine engine and what are the temperatures that are achieved and other things then you can use this then you have assigned temperature and pressure it can also do the shock tube problems and many other problems now let us in this case look at only the rocket problem because that is of interest to us so you have to firstly click on this rocket problem now this menu opens up wherein you can define whether you want equilibrium or frozen flow conditions in the nozzle you can click for both because the actual situation will be somewhere in between equilibrium and frozen flow so you have to give the chamber pressures as an input so let us say firstly we have to before we go there we have to as I said earlier there are example problems so firstly let us look at the example problem that is there that is example 8 which is stated as a rocket problem now here if you look at this is an example problem the initial pressure is set as 53 we can change that to something like 100 bar you can input at one time many more pressures 150 bar and 200 bar you can also have different units in which these can be expressed we will click both equilibrium and frozen and for the exit you can either define a supersonic area ratio or in terms of pressure ratio so we will define in terms of area supersonic area ratios that is 25 50 75 and lastly we will define something like 100 so and finally you have to save this once you save this because this is a liquid propellant problem you have to define the oxidizer to fuel ratio right there are different ways to give that one is equivalent ratio is also possible then oxidizer to fuel ratio is possible then percentage of fuel by weight is also possible so let us click on the oxidizer to fuel ratios there is one set value that is given here that is the value at which probably you will get the best performance let us also click other O by F ratios remember we are doing this problem the reactants are if you click on this reactants this thing you will get fuel is liquid hydrogen and oxidizer is liquid oxygen for stoichiometric conditions the O by F should be 8 so which is why I have clicked 8 now because these are already there in the menu so the temperatures automatically come in and the heats of formation are also automatically taken in now if you click on this if you click on the name and if you check something is take something as a fuel and if you click on that you can change it from liquid hydrogen to something else also and there are a few options that are available here like methane then there is kerosene JP4 JP10 all this then there is also RP1 we will right now stick to what is being selected that is liquid hydrogen and you have liquid oxygen as I said again you can click on this and select any other oxidizer there are various options here that you can look at that is H2O2 H2O2 then RFNA IRFNA then N2O4 so and also liquid oxygen so we will go with liquid oxygen so both of them are 100% you can define whether you want liquid oxygen as 50% some other oxidizer as 50% that is also possible so we will save this and what you have to do is you have to go to this activity and click on the execute CEA so if you do that it will execute the program and give you an output file in this fashion you can also open this output file as a word file you can open it as a notepad or a word pad now if you look at the output it firstly tells you what are the input conditions that you have given the O by F ratios you have chosen equilibrium and frozen and what are the pressures what is the pressure ratios that you looked at and supersonic area ratios what are the reactants and what is the units in which the output file is expressed in so now if you scroll down you will get so if you look at the output file here you will find that firstly the O by F ratios that we have chosen are indicated here then we have said both equilibrium and frozen flow then the various pressures at which we want to run this calculations those are given here then the exit pressure ratios supersonic area ratios and subsonic area ratios and then what are the reactants that we have used and the outputs will be expressed in SI units now if you scroll down this is the place where you will have the results what you can see here is fuel and oxidizers are given the energy the heats of formation are also given here now we will take the case when O by F is 5.55 and the pressure is 100 bar this is what we had given now look at what happens to molecular weight this column here is molecular weight now the molecular weight is somewhere around 12.8 okay so and the temperatures you get given here this is in the combustion chamber so this is around 3450 almost and this is the throat region as a the flow expands the temperature drops so also the pressure drops okay and further as you go to different area ratios which are given here this is AE by AT if you use a 68 AE by AT then 1.58 2550 75100 so you can see that both temperatures and pressures keep dropping after the chamber depending on what we have as the area ratio okay and what this also will give you is specific impulse and vacuum specific impulse so you can see that the vacuum specific impulse is always going to be higher than the specific impulse this specific impulse is at sea level okay wherein the ambient pressure is 1 atmosphere so you see that at sea level with an area ratio of 68 you will get something like 4384 Newton second per kg it is seen as meters per second here which is the same as Newton second per kg so the ISPs that you get are very high okay if you use a larger area ratio nozzle you will get even higher specific impulse that is what you will see here as you change the area ratios the specific impulse also will increase you also can get C star values which are shown here okay and correspondingly CF values you just have to multiply C star into CF to get ISPs this also gives you as I said earlier that if you look at the exhaust it will have various species so the species that are there are H O2, H2, H2O, H2O2, OH and O2 and the corresponding mole fractions are given here okay you can see that large fraction is H2O okay and there is quite a bit of unburnt hydrogen right so this constitutes roughly 95% and the remaining 5% is contributed by the other species so these are the two major species okay in the chamber as well as in the exhaust now this was with equilibrium right and you can see that if you look at the composition right at this at some values the frozen flow does not give the correct composition okay now take a look at the ISPs let us take this last two values we will take a look at only the vacuum specific impulse this is roughly 4600 at 100 area ratio okay now if we do a frozen flow analysis in the nozzle it reduces to 4 425 at the same conditions of AE by AT so it is very clear that the actual one will probably lie between 4 425 to 4600 okay so the actual ISPs that we get will be somewhere between this this was for 5.55 O by F now if you look at O by F of 1 okay the temperatures that you get very low so therefore the ISPs that you get are also not very large 3632 and 3700 at area ratio of 100 and vacuum specific impulse is 3825 although the molecular weight in this case because the O by F is 1 right we need a higher O by F to completely burn it O by F of 8 is required if we use a very low O by F as you can see here molecular weight is also very low although temperatures are lower molecular weights are also lower but still as C star is nothing but under root TC by M we finally will get something like 3600 seconds and then if we increase the O by F to 2 then the temperatures rise but so also will the molecular weights and as a consequence you will get to a slightly higher ISP of 4249 then if we go to an O by F of 3 temperatures go to 2450 and molecular weights increase to something like 8 so consequently ISPs go to something like 4469 then further if we increase the O by F to 4 this goes to 4569 okay 5 it becomes 4475 here in this case temperatures are increasing but molecular weight is also increasing so therefore the ISP change is very small and the best is probably at somewhere around 5.555 you get 4603 okay and 5.5 is where you will get the best ISP this is for liquid propellants the same information as shown here in these graph here which shows on the x axis chamber pressure and ISP on the y axis there are two ISP graphs here one is ISP at C level which is indicated by this blue line and there is ISP vacuum which is indicated by this red line which is usually higher both these are for the hydrogen and oxygen system at an O by F of 5.55 and at all these pressures the area ratio of the nozzle is such that the flow is optimally expanded now one can see that as pressure increases the ISP also increases both the C level and the vacuum ISPs both of them increase. Now to understand why it is that we choose an O by F of around 5.55 for the hydrogen oxygen system we have plotted here chamber temperature C star and molecular weight molecular weight is in blue color that is this line chamber temperature is in red that is this line and C star is shown here in this green line this is at different O by F and the flow is optimally expanded for a pressure of 70 bar that is the area ratio of the nozzle is chosen such that flow is optimally expanded. Now if you see at around 5.5 is where chamber temperature is also high molecular weight is also not as large so you will find that the C star values are very good now with these C star values if you multiply it by the CF which is a function of nozzle area ratio and pressure ratios you will find that you will get a very good ISP at around 5.5 which is why most rocket motors which use hydrogen oxygen combination operate around this oxidizer to fuel ratio. Now here I have compared hydrogen and oxygen and kerosene and oxygen systems the red line here is the variation of kerosene oxygen with chamber pressure this is ISP and this is C level ISP wherein with increase in pressure the flow is optimally expanded that is the area ratio is so chosen that at each and every pressure here the flow is optimally expanded one can see that when we change from kerosene to hydrogen as the fuel the ISP is much higher with hydrogen as the fuel compared to with kerosene as the fuel. This is because one the molecular weight of hydrogen is much lower and therefore you will find that the C star values for hydrogen systems will be larger than what you would get with kerosene and therefore you get a very good specific impulse with hydrogen and oxygen systems and if you look at the sizing of the overall system it depends on the O by F at which it is operated if you see here oxygen hydrogen and oxygen systems are shown here this is with different oxidizer to fuel ratio and ISP on the Y axis the red line indicates kerosene oxygen and the blue line indicates hydrogen and oxygen and the chamber pressure is 70 bar the flow is optimally expanded. So you find that you need a O by F of around 5.5 to get a very good specific impulse whereas with liquid oxygen and kerosene you need somewhere around 2.5 to get a very good specific impulse. We will now look at a solid problem the example 5 problem here deals with a solid problem but the binder is something different so we will take a look at another example wherein I have looked at HDPB as the binder now if you look at this there is 68 % ammonium per chlorate 18 % aluminum and then 14 % HDPB now as I said if there are if these compounds are not found in the list you have a provision here to indicate a name and then amount and both temperatures and energy and you can also provide a chemical formula here I have taken a butadiene formula here C4H6 which is very good approximation for HDPB HDPB will have an OH radical in the end of the chain even if we neglect it does not matter as much to what we are doing so here what we have to click is for a solid problem it does not everything is preset in some sense you just have to define what are the % and that should automatically take care therefore we do not have anything clicked in this menu here and if we click at the rocket menu we have something like at 70 atm and 70 pressure ratio we can also give something like 10 and 15 area ratios so we click both equilibrium and frozen flow so now if we look at the output file you have 70 bar as the pressure area ratios and then the various components that is ammonium per chlorate aluminum and HDPB which is 14 % so and now if we look at what happens 70 atm the temperature is very high but because the molecular weight is also quite high you end up getting an ISP of around 257 seconds this is with equilibrium calculations with frozen calculations it will be even lower sometimes this frozen calculation does not work beyond the throat because if you have more of alumina then it does not work for the frozen flow because it then becomes a two phase problem okay you are looking at if you look at what are the temperatures this is lower than the aluminum melting point so it will be a two phase problem and therefore the frozen flow will not be able to solve for it now one can also look at this is with if you lower the pressure to something like 6 bar okay you notice that these temperatures are also not very high because the if you look at equilibrium pressure is also something that determines what is the equilibrium composition and therefore the temperatures will depend on what is the pressure so you will get a lower temperature and correspondingly a lower ISP what this software will not be able to tell you is look at the ISP column with 15 area ratio and with 6 bar right so the pressures if you are doing this experiment at sea level the exit pressure is very very low right and in this condition you will have probably a normal shot setting in the divergent portion of the nozzle and therefore you will not be able to get this kind of ISPs but unfortunately this software will not be able to tell you that so one needs to be careful and look at the exit pressures while doing this if you are doing sea level operation you need to be careful about what is the exit pressure and use the summer field criterion which is something like one-third of the exit pressure is what it can take without any problem okay. Now one can also change the remember we said if we make this aluminum is added only to enhance the specific impulse so let us say we make it 0% and this 86% so ammonium per chlorate and binder only so then if you run the 2385 so it is reduced because aluminum content is not there look at the other thing that the temperatures here you get is lower molecular weight is also lower but in that case the temperature was higher and molecular weight was higher by it went up to something like 27 therefore this was around 3400 and this was 27 therefore you ended up getting a higher specific impulse okay. Now solid propellants we have just now seen how its ISP varies with pressure here we have plotted pressure on the x-axis and ISP on the y-axis and at each and every pressure the flow is optimally expanded that is again the area ratio is so chosen that the flow is optimally expanded and the red line indicates a non-aluminized propellant and the blue line indicates an aluminized propellant it is very obvious from this graph that for an aluminized propellant the ISP is always higher because with the aluminum combustion the chamber temperature is always higher and therefore you get a much better ISP compared to a non-aluminized propellant and also both of them tend to increase with increase in pressure. Anyway we will go to liquid hybrid propellants now hybrid propellants as I said we can look at HTPV binder and liquid oxygen as oxidizer okay that is what we have selected here liquid oxygen 100% HTPV binder 100% okay now we need to also give O by F ratios so we can give something like 1 2.2 roughly is where you will get the best performance so if you look at the pressure we have given something like 200 here it is lower at a little to 100 and supersonic area ratios ranging from 30 to 60 now if we open the output file so O by F ratios ranging from 1 2 3 and you also have 2.2 and fuel is HTPV oxidizer is liquid oxygen and pressure 100 bar and area ratios we see that at O by F of 1 the temperatures are very low and as a consequence you will get something like 260 seconds or 274 seconds with vacuum ISP now if you go to higher O by F at 2 the temperatures increase and also the molecular weights will increase and as a consequence you will get something like 327 seconds C level ISP and around 340 seconds vacuum ISP okay then if we go to something like 3 then you get these kind of numbers the temperatures has increased but molecular weight is also increased okay now you can play around with the kind of additives that you would want to add let us say I talked about aluminum hydride as a possible additive that can increase the specific impulse quite a bit so we will select aluminum hydride it is already there I just need to put something like 50% aluminum hydride and reduce the binder content to something like 50% so overall the binder and fuel binder and aluminum hydride put together is 100% so now if we run this here you see we have added aluminum hydride that is around 50% and binder has been reduced to 50% somewhere around 2 the temperatures are very high and so also the ISP is high 341 seconds and vacuum ISP is 361 right and at an O by F of 1 it is 351 and 367 seconds you see here as O by F is reduced the molecular weight is getting reduced and the temperatures are also smaller but what we are interested in as a combination and therefore we end up getting a better performance at this O by F okay now if you go to an O by F of 3 the molecular weight has increased to something like 30 and the chamber temperature is 4000 but the ISP you will get is lower okay so with aluminum hydride it offers you can also change the fraction of aluminum hydride and find out where you will get the best performance what we have probably selected is not the optimal so you can play around with it and find out at what fraction you will get a better performance aluminum hydride is a good additive to add because it can then increase the specific impulse and if you look at the specific impulse with HDPB and LOX I said earlier this is very similar to what you will get with kerosene LOX but if you want to go beyond that you have to use something like aluminum hydride which will increase the specific impulse even further here there are two hybrid systems that are compared on the X axis you have chamber pressure and on the Y axis ISP the red line is for aluminum hydride and HDPB 50% aluminum hydride 50% HDPB and liquid oxygen the blue line is for liquid oxygen and HDPB the O by F is 2 for the blue one and the O by F is 1.3 for the red line that is aluminum hydride propellant and in all these cases the flow is optimally expanded. Now if you see here with aluminum hydride being added at the expense of HDPB we do tend to get a very good specific impulse and this tends to increase with pressure so there is a difference of around 20 seconds in ISP between these two so adding of aluminum hydride is a very good thing it will help in increasing the ISP the again we are comparing aluminum hydride propellants with HDPB and O2 propellants this is again a hybrid rocket here we plotted with O by F and ISP on the Y axis this is for a chamber pressure of 70 bar and again the flow is optimally expanded what we see here is another interesting feature the red line is for aluminum hydride and HDPB combination and the blue line is for hydrogen HDPB and oxygen system. Now if you see here the peak specific impulse is achieved with aluminum hydride propellants at around 1 whereas it needs to go to somewhere around 2.2 for HDPB and O2 what it indicates is that if you use aluminum hydride you will get a much smaller or a much more compact system with density impulse being higher because the O by F at which the best specific impulse is achieved is at 1 usually liquid oxygen which has a density of around 1140 has lower density compared to the solids and this here has a density of around 1200 to 1300 so therefore you will get a very good density impulse and this is this makes the systems smaller. So you can as I said play around with this and try and generate your own numbers one way to check whether you have done something correctly is look at literature if you do a solid propellant what are the ISPs to get and then find out if you redo the same will you get the same so and then you can once you get the confidence you can play around with this and look for other additives and things like that we will stop here thank you very much.


Welcome back to SuperCloud 3. We are live in Palo Alto for our third edition of SuperClouds, we break down the next gen cloud, multiple environments, multiple clouds, edge data. This is security plus AI as the focus. Day's been the theme throughout. I'm John Furrier with Dave Vellante. Sarb Jeep-Joel's here, CUBE Collective, part of our team, member of our influencer group that we hang out with at all the events and certainly distinguished CUBE alumni. Great to see you coming on to do the analysts section of what we've been talking about, SuperClouds. So listen, we're going to analyze. Dave, good to see you, Sarb Jeep, thanks a lot. Thank you. Okay, let's analyze. So SuperCloud 3, security plus AI. Dave, this is the continuation. More and more momentum, we just had Doug Merritt come out of retirement. He's now the CEO of Aviation. He's going to take them past 100 million, take it public. He did that with Splunk, a data company. Jay Schodberg was Z Scaler, absolutely killing it. One of the high-performing SaaS companies on the planet. They're up on the top of the ranks of this new generation of companies, pro-game, great speed of acceleration. Just the acceleration of what's going on in SuperCloud. It's like the big clouds, they're not going away. They don't have to die to bring in multi interoperability. They're continuing to do great. Amazon Web Services, Azure, News Today, Microsoft teaming up on the AI side with open AI. Moves are being made in the cloud. The edge is developing. What's the analysis? I think that prior to, I mean, the SuperCloud trend was happening, right? We saw that, but prior to chat GPT. The chat GPT created this awakening and I think it's accelerated the intensity within these specific sectors. So we talked to Doug Merritt about how the granularity is actually going to get greater and the focus is going to get greater. So those companies, my view, love to hear what some of these things that really lean in aggressively are going to extend their position. You're seeing that with Microsoft. You heard that with Zscaler. We heard that with Cloudflare. We heard that with VMware, right? They're in a strong position and they're investing and their goal is to get stronger. Now, having said that, you've got these interesting disruptions. The other piece of that is, I don't think they know yet what to do with generative AI, right? And it's like Jeff Jonas said, it's good, it's amazing, but it gives you different answers every time. So how do they apply that in security and other areas? They're still trying to figure that out. So there's a lot of opportunity for structure. I want to get into that in a second. Starvedjee, let's get it to you first on the top level cloud players, SuperCloud 3, security plus AI. I think the time compression, as Doug said, that's a huge thing, right? So everybody's trying to rush in and put the solutions out there. Right now, the usage of generative models or LLMs is on the design time when you're cooking up stuff, right? So when you're planning for it, right? When you're coding, that's so obvious for us, right? But the problem is, how do you apply that at runtime? Because at runtime, you need consistency and accuracy. At design time, you still have human in the picture, but at runtime, you want to take the human out of the picture, right? So that's challenge. I think to take out that problem out of LLMs, there will be domain-specific LLMs, which will be more precise, and they will give you, I would say, not same answer, maybe, perhaps almost same answer every time. So the domain-specific LLMs will emerge. That's what my... You know, I think the acceleration is a great point. I want to get you guys' reaction on this because what came out of Jay Chaudhry's interview and we heard from Kit and others, and we love sports analogies, so I'll just say it.  The speed of the game is so different than college. In football, for instance, security is a speed game and it's a pro game, and that leaves this whole democratization on the table. Interesting, because how do you democratize a slower game? Okay, and we saw that in the data world. So in security, you cannot compete if you don't have that game, because the defense levels or requirements are so high on security, it's going to be very challenging. So the question is, does AI accelerate and open that bottom end of the feeder to bring up talent? Because what we're seeing from all the pros here on theCUBE talking about SuperCloud 3 is security is a pro game. The speed is at a level that you got to be a certain athlete to play at. This is a big issue, that means startups might be looking different. Do you have to do more work on the front end, even get in the game? Dave, what's your take on this? First of all, I think you got to be cross-cloud. You got to be SuperCloud in security. That to me is table stakes. The second thing is you absolutely have to apply AI, whether it's generative AI or other machine intelligence, to that corpus of data that you have and those that have the best data are going to win. And I think that during the pandemic, we had this flood of venture capital come in to the security space. Not all those guys are going to survive.  I mean, we saw this at RSA. All you do is look at the line outside their party, right? Practitioners are enthused about them. But then you have companies that are popping up, specializing in edge security. Is that the right model? Do we need another stovepipe? Or is it so unique and so different that actually you do need a best of breed stovepipe? So you think you have to be cross-cloud. You have to be applying AI. And you do have to be best of breed at something.  So if you don't have the game, you can't compete. That's what you're basically saying. If you don't have the game, you can't compete. The pro level is definitely different than college. This is not JV. I think in, it seems like in software world, in x86 world right now, it seems like it's a championship round. The AI is the championship round. Before we start with, you know, the next round with supercomputing and, you know, different paradigm and shift. But in this one. I don't think they want that round. Because, like what we are trying to do is, like we used to write logic. That was, that's what coders did, right? We put like brain into machines, right? But now machines will learn from data. So that's, I think it's the sort of, towards the end game of this sort of, you know, if you are- Putting logic into data. Yeah, yeah. Data flipping. And data fusion too. And data fusions come up too. All right, so let's get into the, let's get into the general, because there's a hype cycle and you've got spending data that matches that says, that's a unique thing you've never seen before where the hype cycle is strong and the spending momentum is aligned with that. That's not normal. Okay, that's what we'll get to that in a second. I also want to bring up the machine learning. I mean, I don't know if you remember Dave, go back to 2011, 2012, when we were doing theCUBE. At that time, machine ML engineers were out in the market and it was well-known that Google was paying up to $2 to $3 million per person in AccuHires if they had machine learning engineers on staff. So, you know, machine- Now it's GPUs. Okay, but machine learning has been around for a decade, hard core. So a lot of this generative AI is the discussion. It's generating new things, but it's based upon supervised machine learning, not unsupervised. So, you know, a lot of the people come in like, all the top companies like Zscaler, Natives, all those things. But we've been doing ML for a while. So that is kind of AI. So it's a different kind of AI scene. The generative AI is super hyped, but it's new, but it's machine learning too. It's data. I think it comes back to the design time versus the runtime, right? So we have been doing machine learning kind of work for so long. I used to work a visa in 96 and whenever you swipe your card, we ran an ELEGO very quickly with the milliseconds, IBM TPF technology behind the scenes, super fast, right? So it was like, we know your spending pattern. If your amount is anomaly, we will stop you. Like you have to call somebody to get the approval, right? But it's nothing new. But with LLMs, which is part of generative AI, generative and LLMs are a little different, right? So the whole idea is to get the corpse of data and get the intelligence out of that. But the problem is that it's not accurate all the time. It cooks things up, it makes things up, right? There's hallucination and whatever. It gives you different answers multiple times too. Yeah, what you're trying to do is now, it's like trying to start, okay. Oh, you know everything now, but like don't say this, but say this. Like we're trying to tame it, if you will, with like a in SQL world, like we have a not clause, like give me all that, but all these things, but not that. It's also a lot less controlled. It was distributed, that transaction processing facility example that you gave was, it was distributed. You might have some terminal, NCR terminal at the edge, but today you've got cell phones, you've got machines, you got, so it's kind of this wild, wild West.  You've got all kinds of different standards, different open standards. And so it's a lot harder to actually control what's happening throughout the network. Yeah, and another true, but another thing is very important is that Jerry Chen wrote, he revised his blog about like new, new modes, right? So I have been talking about these three types of systems, the system of record, system of differentiation and the systems of innovation. And he used that sort of system demarcation methodology in his analysis as well. I think systems of record are very close to what we need from a regulators point of view. Like we have accounting in place and we have regulators, they look at your books and you can't just cook up stuff, right? So the systems of record, I think they will not be going anywhere near LLMs anytime soon. I think systems of innovation will very quickly and systems of engagement or system of differentiation, they will flirt with these models pretty soon. And they are already doing that in many ways. So I think that brings in another aspect, another sort of prospect, another aspect of looking at the problem, right? That is consumer versus the business, right? B to C, people are like, oh my God, this is cool stuff. Personally we are very nicely, pleasantly shocked. This is productivity, all that stuff. But when you go to business side, then you're like, hold on, right? It's always been harder. If you look at the search business, I remember back on the day when Google was getting in the business and I'll search engine the internet, it was easy to do search on public information than inside a company. You had structured data, different databases. So I think the B to B market is interesting because you have one confidential information, you have different infrastructure, and this brings up the conversation that we've been having around, okay, how do you define your value and the data value is key? So Dave, when we talk about the SuperCloud, love to get both of your perspective, when you think about the digital transformation, I'm an enterprise, I'm a B to B company. I look different from an AI perspective than say a consumer company that's going to be a search engine like a Bing or whatever, open AI, it's public. The private is going to use LLMs differently because you have to operationalize it. So the question I guess for you guys is how should companies think about operationalizing the SuperCloud security and AI story because we've heard some people, low-hanging fruits configuration, some automation, but observability comes up. How much data we have that we haven't harvest before? I don't always... But this is the key, I think it's got to start with the data because the language model itself is going to be commodity, right? I can get it from Amazon, I can get it from Google, I can get it from Microsoft, I can get it from open AI, I can get it from open source, whatever. It's the data, and that's where you're going to get emote. And so you really got to get the old Rob Thomas, you can't have AI without IA. You got to really get your data... Architect. Architect, your data models together. What is, that should be the question that you're asking. What is our most valuable data and how can we take advantage of it? You got to start there. You're referring to Rob Thomas from IBM, who almost what, seven years ago? Seven, eight years ago was saying, IA, informational architecture before AI. Yeah, you can't have AI without IA, and you can't have AI without a data architecture. You agree with that? I agree with it. Actually, Georgia earlier today, he mentioned that they are ingesting multiple LLMs into their security operations. That's what they do, right? So they specialize in security. So I think just like cloud, we are in a multi-cloud world right now. In AI, we will be in the multi-LLM world. So as you said, like LLMs will be commodity, and he said that too, and I believe in that. Well, we talk about LLMs, which stands for large language models, but there's also foundation models, because language is text. You got multimodal, which is text, audio, and video. So computer vision has foundation models. That's not an LLM, that's vision. So just to get the semantics right, LLM is for text and language, but computer vision, when you're looking at, say, a picture and someone's climbing a fence, I interviewed a company who did text, people climbing fences, that's someone breaking into a yard or something. But you know what's interesting, if you listen to Ilya from OpenAI, the interview he did that fireside chat with Jensen, he will tell you the two things. He said that scale was underestimated, the importance of scale and having all this data. The second was vision. That vision actually dramatically increased the accuracy of LLMs. So it kind of go hand in hand. And I think one of the things just Jeff Jonas, I think nailed, and people talk about it, but I think we don't fully understand it yet, is we are going to replace this with this. Yes, yeah. We'll be talking to him. That's a huge difference. John Chambers said that on theCUBE in our podcast. He did. Voice will be authenticating things, be part of access. I don't think people have really grok that yet. Yeah, talking about the security ops, right? Security operations, right? Right now we are looking at the logs. People are sitting at these, looking at the monitors and what's going through and all that stuff, things are changing gradually. But in future we'll be talking to these machines and let's say we see DDoS coming from China or some national adversary, or even some friendly country, like within the country, right? So it's like block any traffic coming from Arizona or something, you know somebody's DDoSing from there. So you can just talk to machines and then it will take action behind the scenes because it knows what you're trying to do and it just maps it to action. Is that going to be generative? This is the question I have. Is that going to be generative AI? Is it, you know, say, tell me what's the signature of this DDoS? Is it, where's it coming from? Is it North Korea? Is it Iran? Is it China? Is it Russia? Okay, and then what to do about it? Block, okay. Are you going to use generative AI for that? Because it's generative, so it's sort of guessing. What's it generating? Solution? It's generating the next word, essentially. Yeah, I don't actually, you will. I thought about that when I was sitting here. I was at Rodin's one, some notes. So when I was doing something like thinking, like I used to work at EMC and we had a very sophisticated sniffer, actually we call it CMDB, but it was not. Anyway, it's a long story here, right? So we were looking at every nth packet on the network, right? So we, because we couldn't look at every packet. So you were sampling? Yeah, we were sampling. So in this case, that's also like I, between my two jobs, I did a stint at Port of Hockland, ran a trucking company for some while, and figured out all the containers coming from China, we can't inspect every container in year old, right? So we were, they were picking the Port of Horry, pick every like 50th container and look through that, or sort of almost look a random thing, right? So, and it seemed like security at, you know, at Tel Aviv airport, like they do it differently. So everybody will do these things differently, but they will pick every nth packet, or buy how the packet looks, or by the intensity of the workload, like how critical it is, yeah, yeah. Once you get that packet, now you want to analyze what it is, like what's the signature of the payload, right?  Find out what is this? Is this malware? Who's attacking us? So there will be like, these packets are coming in, like boom, boom, boom, right? And you pick some random packets and give it to these sophisticated LLM based security models and say, tell me what it is. So are you going to get that's the same rough probability each time, right? You're saying you are. If you have the right controls, because then the other thing that Ilya said, and people debate this, in fact, Jeff Jonas was like, nah, it's generative. Ilya said, look, ChatGPT wasn't designed to be that consistent, you know, accurate buddy, but it will over time evolve there. And so, and others are saying, eh, maybe not. Maybe it's different machine intelligence. Depends on the data. Their reasoning is based upon only supervised, not unsupervised, which changes the dimension of how much the reasoning is accurate. But I think also the idea of prompting is going to change how we fuse data. So to me, what I'm hearing people talk about and my vision would be that the fusion of data, interplaying between data sets is going to be a new thing that's going to be outside the scope of traditional, like how to organize data in a warehouse or cloud. Because if data is free to move around and interact, that's where the generative AI could really kick in. Here's what I think. I think because it's probabilistic, the way in which gen AI models, at least ChatGPT is going to approach it, is when there's a lack of confidence, it's going to communicate that to the prompter and or ask the prompter questions. Can you tell me more? It really doesn't do that today. It doesn't have those types of, that's when people talk about guardrails, that's the type of guardrail that I would imagine that it is sort of self-monitoring, and then it's forcing you to give it more information so that it doesn't give you incorrect. That the key is incorrect, like the accuracy is important in operations, right? So I believe, let's take an analogy, like when we go to like university colleges, we, some people specialize in certain areas. There's some stringent guidelines in some areas. Some areas are very wide open, humanities and art and science are domains, right? So just think of these LLMs as individuals for a minute, right? Some people know a lot about everything, right? They're humanities major, right? Communication, right? You guys, you are actually especially, right? So you know a lot of things about a lot of things, right? But there's some people, like they just day in, day out, bang their head against like how the atoms work and how this genetics work and all that, they specialize in that. So they know their information coming from them is more accurate as compared to somebody who knows many things about many things, right? So I think models will be same way. Specialized model will have more accuracy. It's all relative I think at that point because it's still LLM, but I believe that we will have like security models for different type of industries as well and industry models itself, like for regulators. Kind of like Wikipedia. Actually, we make a Wikipedia with technical and mathematics and stuff like that is actually very accurate because you have experts that really know that. You got to change those pages and make sure they're accurate. Yeah, but the problem is it's... Curation-based. Yeah, right. Survey, final question for you. Security plus AI is the theme for SuperCloud 3. Couple questions to end this out. What, where do you think the momentum that SuperCloud is right now? And SuperCloud 3, AI and security, what's your analysis, what's your final take? SuperCloud momentum and then the second question is the security plus AI, what's the critical message there? I think SuperCloud momentum is that we have to make the multi-cloud work and to make that work, we need another abstraction layer and that's why we see the rise of cloud player, companies like Cloudflare and Snowflake and all these companies are built on top of cloud. And now the cloud providers are having second thoughts about should we play in that we go at one layer above, Amazon is having this sort of identity crisis that I believe, like they are saying, oh, we are Builders Cloud, but on the other side, Microsoft is saying, we will give you these apps, which are like AI apps. Actually, a lot of experts say that that chat GPT-4 is an LLM app. It's not LLM itself, it's an app, it's an app, right? So they have an app there. These people are saying we will let you build LLMs or we have one of our own. So there's a lot of uncertainty there. So I usually say that technology is like medicine, right? And every pill has a side effect and so will AI. And there's over-the-counter AI, which is these LLMs, which are public LLMs, and they're prescriptive AI, like just like medicines, which will be just for you, made for you because you have certain kind of symptoms that you're trying to fix as a company. So we will have sort of different demarcation of like a staggered AI adoption. Of course, security is a huge problem because bad guys have access to the same tools what good guys have, and bad guys can break more rules than the good guys can. In many ways, even the good guys look bad these days. Sam Altman going around the world, saying like, oh, it's very dangerous thing, it's very dangerous thing, but he's cooking it up on the fly. Very tricky situation. I think that's a hedge too. Sarbjit, thanks for coming on, Dave, great analysis. Okay, wrapping up that section, we're going to have live coverage coming in, remote live from Dell Technology, CTO, I'm John Furrier, Dave Vellante, and Sarbjit Chowall here. Breaking down with theCUBE Collective, SuperCloud 3, we'll be right back. In the world.


Hello, this is Laptop Media, and today, we will show you how to open the Dell Inspiron 15-3505 and what's inside of it. To access the internals of this notebook, you need to undo 9 Philips head screws. Then, carefully pry your way around the bottom panel with the help of a plastic tool. Please remember, it would be of great help to us if you just hit the like button and subscribe to our channel. That would motivate us to make even more and better videos for you. The first thing we see inside is the 42Wh battery pack. Before you start removing stuff out of the device, make sure you unplug the battery connector. In terms of memory, there are two Sodom slots that should support up to 32GB of DDR4 RAM in total. They also work in dual-channel mode. Storage-wise, there is one M.2 PCI-EX4 slot, as well as a 2.5-inch SATA drive bay. This is for the cooling, a rather unpretentious heat pipe, heat spreader, and a fan with a medium size. It's also worth noting that there is a metal bracket over the CPU, that helps evenly distribute the mounting pressure, and drive some residual heat away. If you'd like to see more disassembly videos of the latest notebooks we would highly appreciate if you hit the like button and subscribe to the channel.


Petroleum and Natural Gas Senior Staff Association of Nigeria, Pengasin, has said it will take decisive action against indigenous oil companies that violate labor laws. The president of the Association Festus of Sifo stated this at the National Executive Council meeting held in Potarkot River State. Sifo, in his address, observed that although indigenous oil and gas companies play pivotal roles in the growth of Nigeria's economy, it was disheartening to witness the exploitation of labor laws and the inhumane treatment of employees by some of their companies, warning that action may soon be taken against errant companies. On fuel subsidy, Sifo said one of the main factors contributing to the ongoing challenges is heavy reliance on imported refined petroleum products. According to him, Nigeria, as an oil-rich nation, has the potential to become a major player in the refining industry if the federal government takes decisive actions and encourages local refining of crude oil. It is disheartening to witness the exploitation of labor laws and the inhumane treatment of employees by some of these companies. One of the major concerns is that some of these companies are preventing qualified members from registering to join their association as provided in the law and the Nigeria Constitution. This deprivation of membership rights is not only a violation of their fundamental humanity as a trend in law and status to which the country is a signatory tool, but also prevents attracting a better working condition and protection of a workforce. In society action, we soon be taking against such management. Nigeria, as an oil-rich nation, has the potential to become a major player in the refining industry. However, due to various reasons, we are not fully tapped into this potential. As we believe that it is hard time for the federal government to take decisive actions and encourage local refining of crude oil, by doing so we can significantly bring down the high cost of petroleum products and alleviate the financial problems. Hello, hope you enjoyed the news. Please do subscribe to our YouTube channel and don't forget to hit the notification button so you get notified about fresh news updates.


Guys, we are in my kitchen today making overnight banana chocolate oats. These are perfect if you're trying to get into milk rubbing or if you just want to get breakfast on the table quicker. You make them once and breakfast is done for the rest of the week. So, let's get started. I'm just starting with two bananas that I have just mashed up. You're welcome to add more bananas and more oats. Like we said, this is the easiest recipe to double. So, I'm going to just do two cups of oats and then I have a one and a half cups of milk. And then my personal favorite part, I'm going to add some of the mini chocolate chips. I love these because it's not an overwhelming amount of chocolate in every bite. But you're welcome to use the big ones if you want. Then I'm just going to add in one half cup of peanut butter, a little bit of cinnamon and a dash of salt. We're going to mix all of this together until everything is combined. And then we're going to dish it into mason jars. You can use big mason jars, you can use small. These ones are the smallest mason jars that I could find and it filled up four of them. So, perfect for four servings. If you like a bigger serving, use the bigger ones. And I just layered bananas and chocolate chips. Then I'm going to refrigerate this overnight. I sealed the lid on and they are ready for the morning. We hope you enjoy our overnight chocolate banana oats. Thank you for watching.


The following is a presentation of TFNN, The Tiger Technician Hour with your host, Basil Chapman. Call now. Call 3 at 1-877-927-6648. Hi everyone, Basil Chapman. This is The Tiger Technician's Hour. I had the pleasure of subbing for Tommy Jr. for this last hour for his Market Kickoff show and of course I couldn't do anything even close to what he does. He mixes the fundamentals with the technicals really well. I could just do the technicals and that's all we were looking at. So here we are, the Dow is up 27,000 to 35,941. Made all-time high yesterday of 36,009. Leg E, this E can extend. Now the big question for me is, has this recycled to a brand new buy signal to a buy mode? I don't think so. I think this is going to be a leg E, maybe goes to an F. You've got the diamonds. Now diamonds are already in leg F. I think we're getting close to some kind of a shorter term top and it just means a shorter term top, not a monthly or anything, just a shorter term top for some sudden bad news that flourishes and kicks the market down for a little bit. And then I think we start to go higher because stocks, when the market, certainly the Dow, when the Dow has a good comeback in October and closes the last week of October or the first week of November close to the yearly high, in this case it turned out to be an all-time high, then there's a really good chance that no matter what, even if there's a choppy sideways market, at some point the December close is really close to that particular high. We'll see what happens. As I always say, the day is young. We'll have to watch this closely. In the meantime, back at the ranch, you've got absolutely key support in the $35,700 to $500 area on any major turn down at this particular point in the shorter term, and that's major on the short term, that is. Not the weekly, weekly slow, very strong. And on the upside, if there is a close in the Dow above $36,130, that's really important because it says, hey, now my friend is $36,000. It's not just something I want to touch and run from, and that's going to be important. So I'm saying $35,900. It says to subscribers, it could be strong resistance. I'm watching this very, very closely. We remain along. We've got a plan that we would go short if certain conditions are met. Let's just do one thing at a time. And now we're going to go to S&P is making an all-time high as we speak, $46,25, $22, up 11, $46,27,31 was the all-time high today. It just cleared that whole $4,500 area that we thought $44,90 was resistance. Bam! We go right through it, and now $45,90 should have been resistance. Bam! Right through it. It's just amazing how volatile to the upside this market has been up until now. Now I've got a couple of things that I wanted to look at here, because I want to talk about this just momentarily. For those of you new to my work in the Chapman Wave methodology, we're always looking for from what I call an identifiable low bar. We want to count each successively high peak. In that context, we count the waves. The question looks like a sawtooth wave here, but it goes ABCDEFG, higher highs, but it's at that fourth highest peak that other things can happen. And what happens is in the Chapman Wave methodology, we go from a buy signal to a buy mode. The buy mode implies that you should go to at least four higher peaks, and then you have to assess to see what's going to happen. Well, we're only in leg C in the QQQ. We still have to have a lower high bar. That's the whole bar. You have to have a lower right side high, and that will give you your peak C. And then it's called the floating letter. And until it makes a peak D by going to leg C above whatever peak C was, sorry, leg D, that's where you start to say, OK, now we've got to be careful. Other things can happen. But in the meantime, the QQQ is acting well. The MACD is good. Stochastic said 97% fabulous on-balance form. It says, uh-oh, a little overboard, but the 90 is way above the 14. The price is way above the nine. So with that said, let's go to the IWM, which had a spectacular session yesterday. And even today is continuing high at 234.75 up 76 cents. And this is now leg D. Finally, in the rectangular formation, a long-time rectangular formation, a weekly chart of 234.53 in March of 2019. That was the week of the high of 2021. And it plummeted down to the 208s, ran up again, fell back, and now it's in leg D because that peak C1, C2 has finally got that leg D. And that is with a high today of 234.85. Now, when I started Tommy's show, we were fractions underneath. Now we're above 234.53. How does markets know after all this time, months from March to now, April, May, June, July, August, September, six months. And all of a sudden it goes to what? Within pennies of the previous high. Unbelievable how that happens. Now, does it continue here?  Is there some kind of news? Isn't the election today that suddenly the election results scare the market? I have no idea, but we'll see what happens because so far at this particular point, everything is looking very good. Let me have a drink of tea. Got it. Lubricate the vocals. This goes back to when I used to do three days of seven hours at least of talking nonstop, paying the penalty there. I always remember Clinton when he was on the road and his voice started to get more and more raspy and it took him years before. In fact, I don't know if he ever recovered from that raspiness. So got to be careful, I guess. We're looking at the SMH as a semiconductor index. Now I've got a bunch of questions I want to get to. I'm going to get to them in a moment. So the SMH is pulling back from the injured day, all-time high of $279.77. This is going to be interesting. A 278 round number right now, up $1.22. And a V-shaped pattern. Howard closes above the $276.69. Previous high of August the 16th is going to be important in this V-shaped pattern. Maybe I'll talk about that a little bit more. What I do have to say is that we've got an F-slash-C in the monthly chart. Unbelievable. F-slash-C. I'll turn the count. I've got to keep that. I'll turn the count for now. And then we'll talk about what's going on. So let me just continue. Gold was down a little bit. Now gold is down, down six at $1789. Silver range, just stuck in the range. Silver is, wait, gold is at $1790. Silver is at $2359. Oh, this is a big move. Big move down. Down 47 ticks having hit the 200-period moving average. And remember peak D, the fourth highest peak. Watch out. This is that pullback from peak D. But it's still nicely in the higher range of the shorter term. That says, wow, it's gone all the way from the 28s down to the 21s. And now it's bounced to the just touched 20, 2480. And now it's down to 2358. Watch this closely. So this is a clue to say that money is really going more. When you're talking about commodities, let's just treat the Bitcoin as a commodity in a sense. And it's got a peak D at the all-time high. Oh, I forgot to type that in. Let me type it in now. 66310 was the all-time high back in, I think, April-May. And then it pulled back very sharp, just under 30,000, 28,000. And now you've got an all-time high of 68030. Oh, whoa, whoa. 68.030. And we're trading at 63560. So this, oh, I'll talk about this. This is a pattern you want to look at. But when I get back, I want to talk about the big set next. But you'll sell. I'll be back. That's what Japan does of 26. Are you looking for a way to consistently add winning trades to your portfolio? Tom O'Brien is here to help. Tom O'Brien has been successfully trading markets for over 30 years. A frequent contributor to TD Ameritrade Network and CNBC, Tom O'Brien founded TFNN over 20 years ago to help educate investors just like you. Tom's Daily Market Newsletter, Market Insights, is published every morning when the market's open to give you the competitive informational edge you need to succeed. These newsletters are packed full of Tom's advanced technical analysis and are geared to deliver comprehensive strategies for a successful portfolio. Get Tom O'Brien's newsletter, Market Insights, today. And try all of our products and newsletters 30 days risk-free with our money-back guarantee at TFNN.com. TFNN Educating Investors What's separating you from the most successful men and women on Wall Street? That's right. Information. Having all the information gives us the perspective we need to place the right trades at the right time. 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For free, each host is an experienced trader and gives their take on the market while taking calls and questions live from around the world. From the moment the market opens until the closing bell sounds, Tiger TV has eight different shows with expert hosts to help you make the right moves with your money. Watch online at TFNN.com or on TFNN's YouTube channel and become the investor you were born to be, TFNN. Educating investors. Call now. Toll free at 1-877-927-6648 internationally at<PHONE_NUMBER>. Just to quickly finish up our overview here, you're looking at the DOP 42 S&P 711. Now, U.S. bonds trading at 160, sitting right on the 200-period moving average for six sessions, broke down earlier on late September. That support was just pierced, bam, went right through it. Now it's become resistance, and that kind of fits exactly what we were looking at in the TLT, that it's gone sideways. It's running to have 25 cents in the TLT at 146.68. It is a peak C in the MAC, these goods. Asics at 82% on balance bonds, not good at all. The relative strength RSI is at about 53%. It's okay. But I'm just giving you parameters to watch, regardless of what our thinking is, moving to the 149.70, 150.20 area says, you know what, yields are coming down and they're coming down quite quickly. A pull back to the 100, closing under 144 says, yields are going to that higher level and just keep it in mind. That's going to be really important. So here we go. I wanted to do a couple of things as we're looking at this question about platinum. Platinum has made a peak D. It's sitting on the 200-period moving average at 1,045. It could zigzag. Look, it's already done. Look how important these moving averages are. You don't have to use them all the time, only when they're coming to play. 200-period moving average for the past since about October the 12th or 13th. This has been the touchstone. Every time it's gone up and down.  Yo-yoing above and then below and below, and now it's below. So that's going to be 1,045. It's important. If, in fact, it closes under 1,020, be careful. That says platinum continuous contract pulling back. But so far, it's just hugging it. And that's really important. Now, I had a couple of questions. I want to get to them right away. I don't want to run out of time. Question about fuel cell. Basel. I had fuel cell. F-C-E-L. Let's go to fuel cell right now. Because it's on my watch list. It's one of the screamers. It's trading at 940 right now, down 13 cents off the $9.96. And just three, four days ago, it was in the 750 area, 740 area. So I had fuel cell and atom. And another one that we had once, once owned atom is a Tamera ink. I discussed this. It's semi-material licensing technology, mere silicone technology. I've been trying to read up about it. It's not that easy. But it's making, pattern-wise, it's making an arch. Low-case H that goes to low-case M pattern. So let me continue. Just wanted to show you the charts. Now we can talk about them in a functional way. On my watch list this morning, as possible trades and missed them. Fuel cell made a high of 949. What I read a little higher today. And did a high volume over 68 million shares. I'm looking to buy the pullback. If we get it at 818. And use the stock somewhere at 789. What are your thoughts on the stocks? Fuel cell. I like that Joey's actually planning his trade. I suspect, now one of the things I'm looking at here, is if there is a pullback in crude oil, the question is going to be, does the whole area of alternate energy become a focal point for buying? Or do they just generally subside together? This is a leg C. Remember, oh, let me do this as a methodology explanation. You see this low in the weekly chart of F C E L fuel cell energy. Well, that low of $534. That this high cannot be called A. Why? Because in the Chapman wave methodology, only after you make a trough, can you start calling the next highs as legs to the upside. Only in the Chapman wave instant restart where you make a P D and within three bars you make a new recovery high to make an alternate count E slash A, is it possible to have the low bar actually also become the high bar? That's the only time. So in this case, this is not an A. You have to wait. Look, there's no trough. You have to wait for the right side to make a higher high. So from this one, you can say, oh, maybe now I can start an A. You can't because it's below the previous high. You have to make a peak, or you have to make a leg up there. That leg is above the high of 754, the high of the 17th of September. And now you can say that's your grey leg A, grey because it's just starting to move to the upside. And this becomes grey leg B until the stochastic gets to 80%, or you get certainly strong technicals and the MACD is still, it's good, but not great. I don't know if I can call this a buy mode just yet, but it is leg C, and on balance volume is not that great. I think it's more sideways action, but I am going to say, I don't think it's getting back to that $5 range in this particular move. So I will start at least to put an up arrow to say, we've gone from a buy signal, there should be a buy mode going to at least a leg D in the weekly chart, unless it just tumbles both 720 or 710, and right now it's at 927. So that's my analysis to say, remember this bar cannot be the low bar, you have to say yes, now it's a low bar because you've got a higher bar and you've made a trough, you have to make a trough. Okay, so in this particular instance, yeah, that could have been called an A, but an A- because it broke and went below it. This isn't A- because it broke and went below it. So that's what we're looking at. So this is leg E, like so many stocks and indexes, et cetera, all going to this magical D and E area right now, somewhat even in F. We've got to be a little bit careful here. So your plan, it's a little high at 818, but that's the way I would treat it. And I'd deal with it if there is a sharp pullback. In other words, if by Friday, all of a sudden you're looking at fuel cell, not trading at 10.35, but in fact, pulling back to $8.45, that's where I'd start looking at it and say, how does the 200-period moving average now become not just a magnet, but a propellant rather than a repellant? So let's see what happens on any pullback. So your plan here is good. Be prepared to revise it a little bit only if it goes higher than if it goes into the tens. I would start to think of a different plan, and the plan might be to nibble on any minor pullback, but to have a plan to enter your really good position, but it might have to be above 8.18. But stick with the plan right now. What are your thoughts on the stock? And ATOM, I also missed my potential entry point of 21.71, ATOM. And let me just say, I've gone through, I might have missed one or two emails. If you want to send, just send it right on now. I'll check them out. I'll make sure that I get them before the show if I've missed your question from the day before yesterday or today or the day before. So yes, the lowercase h, I'm going to say, hold on on the semis, because I do think semis are getting a little toppy here. I wouldn't be surprised if we do start to see some kind of a pullback, but this is not acting like a leader at all. Whatever they do for licensing, for selling on technology, I'd see nothing. So I'm going to say, hold off 21.75. It's a 21.62 right now. I could be wrong, but that 200-percent moving average of 21.14 is going to be key to my analysis. I'll look at it again tomorrow. Next question is, I had a question yesterday. Nick wants to know. Good morning, Basil. If and when the short side shows up, would you consider recommending UVXY, three times ultra-fix short-term futures, ETF or some of the big, related ETF in regards to capital? So let me just see here, a UVXY. We're getting close, I think, to at least an attempt at an entry. I'll do that. Are you having fun trading the markets, but having trouble finding like-minded individuals to discuss your trading and investment ideas with? Become an Apex creditor in the trading markets and join the Tiger's Den trading room only at tfnn.com. The Tiger's Den is an exclusive trading room where successful traders from around the world come to exchange trades and ideas. Join the den and surround yourself with the sharpest minds in the trading world. Subscribers to the Tiger's Den are also the first to have their questions answered live on air and can privately chat with our TFNN hosts live during their shows. Interact with other Tigers and Tigers as they share trading ideas, news analysis, and discuss the market action all trading day. Subscribe to the Tiger's Den risk-free with our 30-day money-back guarantee and become part of the TFNN trading community. 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Get your copy of The Art of Timing the Trade Charts today by visiting TFNN.com This segment is brought to you by Think or Swim. For more information, just click the Think or Swim banner on the front page of TFNN.com. Hi, folks. We're back. So, let me just go to this question. Actually, there's another question as well that I forgot to answer yesterday. I've got to get to that. I think it was Greg wanting to know about FUBU. So, let's just U-V-X-Y up three times. Look, as we were talking, you could have bought this at $15.75. It's now $15.71. It's down already just a percentage-wise quite quickly. It's just so risky that you've got to time it almost perfectly. And this is one that I would... I'm not sure I'd want to be in loose overnight just to kind of have it. This is not something you want to announce. Now it's $15.65. Look how quickly you're losing money here. So, the timing has to be perfect. What I've done is that we are long a particular index. And I said today, if a certain price is hit on the inverse, it's actually the 2 to 1 inverse, just start a position there. We'll have the two positions. But as you get that, you have to get out of one part of the long position. So, we're now mixed up, but we're sacrificing a little bit because we're in a little early, only because in the index that I'm looking at, I think maybe we're getting closer to some kind of a pullback. Look at the quick bursts of energy to the upside. We're looking at right now. So, you have to be so careful. And all I can say is that the UVXY is a trading vehicle. I'll say in my newsletter when I think it's appropriate, I've taken it off my list for a long time now. I wanted to use this space for other positions that we have. We have a number of positions. I have maybe 16 bullet points and some things we aren't in, but I always follow, et cetera. But most importantly, this has to be time perfect. Absolutely. Just almost to the minute. You know, you actually want to get it, and you are the bottom tick of the next move to the upside.  So, I'm saying rather the particular way that I'm doing it now, I think, I'm not sure, but I think it's closer to what I eliminate. It doesn't eliminate, it alleviates some of the pressure if you're wrong. And that's just the way I'm doing it now. As a trading vehicle, I will mention in my newsletter when I think it's appropriate if you're, this is the vehicle you want, where you could actually just nibble. And if you nibble, it means instead of being aggressively long, a three times short the New York sunk exchange, or in this particular case, that's what we're looking at, UVXY, you are, you've got a small position, but a small position in three times, even if you have instead of 100 shares, 10 shares, that's still, I mean, you're still, you know, it's something you ought to watch. So, I will mention that. I think we're getting closer. In this particular instance, because it's a UVXY, I'd even wait for the cues to maybe get to that leg D before I attempt it. I'd rather be doing it my way, because if I'm wrong, I stop it so tight, it's not even, what, a one and a half percent risk on a two times short position. It's nothing. You're either getting it perfectly, or you say, I'll try again. You can do it three times at that point. So, I'd rather risk not going for the big bucks, but rather just a small and you can add. If we're wrong, you're right, you're going to see the volatility index very quickly within days, not just make a pop to the upsides at 15.95, it'll get to 18.35 or higher, and it'll close close to the high of the day. Then you know you're right, because the next day there should be a sharp sell-off. So, I just say, I know that you're looking at it, I know you're looking at it closely. The risk reward, I don't see it in your favor right now. There are just too many buying flurries that are taking it higher, and that's the way it looks. F-U-B-U, and I just, I couldn't find it in this quick look that I had now. Is it F-F-U-B-U? No, no, no. Oh, F-U-T-U, F-U-T-B. Is that TV? No, no, no, no, no, no. I wrote it down. Here it is. F-U-B-U. Thank goodness I wrote it down. F-U-B-U, it was TV something. Yeah, it was Fubo TV. So the question, oh, I haven't got the question in front of me, but let me just do an analysis of it. It's in leg E, maybe a peak E right now in the daily, and this is Fubo TV, because obviously I think it's sports TV. It's made a leg C in the weekly chart in the rectangle formation, trying to make that cup formation. What we were looking at yesterday in the den together wasn't SAV-8, it was that other instrument. Oh, I can't remember if I'm a fan. But the meantime, okay. But it had that declining channel, and then it broke out sharply above it. So this is acting very nicely. Now, the question was if you're looking at it, I know that the particular person who asked me about it does quite detailed work. I'm just going to say I'm pleased that it's done what it's done. It had a real nice move from the 22s, 23 area, up into the 33 area. Now it's at 32, it's in play. And because the weekly chart is broken above, the week still hasn't thought Friday to go. Let's see if it closes above this downtrend line. Monthly chart has had a spectacular move up from five or something like that. Six, all the way to the 60s, a tenfold increase, and then plummets down to the, what was that, low, plummets down to around about 13 or 14, and then runs up to the 33 area, and now it's pulling back. So it's in play with huge swings. And because of that, I'm going to say, I like it. I'm going to try in the next break to find your question, because in this particular instance, all I can say is if you're in lower down, and I think you work as you, it was yesterday that you emailed me, so you probably got in the 29s, and it's already hit the 33s in Australia, 32, 17, but it could pull back, it could fill in this candle. So the way I'm looking at it, the sarcastic amount deal, good enough to say if it can hold 31, 70, and in the next two days, instead of closing under 31, 70, 31, 50, that area, it actually breaks above the high of 33, 45 that was made yesterday. That would be really good action, and I say, just stay with the position. In the meantime, I'm going to find your question itself, but I don't, I would be not very nervous, but I'd be a little nervous if it gave back 50% of yesterday's candle. In other words, if it was actually to close, in today, if it broke under 31, 60, and say, whoa, you got to be careful, but if it closed under 31, 50 in the next two days, I'd say, you know what, this particular very short to move to the upside is probably done. It needs to resolve the overboard, the overboard on balance volume situation a little bit more, and then we'll look at it, but my weekly chart says the whole area of 30. 31, 20s to 30. 70 should be a containment area because it's trying to make, it hasn't broken out. Actually, I really want to see it above 30, closing above 33, 68 in the next week, because that'll say, yep, now it's in play. Hope that helps you. So a couple of questions there, and now I also wanted to do, FUTU was a question, FUTU had a horrible, a horrible gap down. It's staying in my rule, the three-bar rule after a gap, it hasn't even filled the, it's trying to fill into the gap between the 60s, it's trading at 55.94, I'll be right back. 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I am in at 24.05 and was going to add, but this morning it started to take off. What do you think? Thanks Greg. So Greg, you're in at 24.05. You're going to add at about 29 something, 30 and it took off. So all I can say is, number one, congratulations. That's a fantastic move from the 24 area to 32. Whew, eight points. Really nice, congratulations. Good percentage gain. The next question is, where would you get in? Well, I just have a little patience because the weekly and monthly charges are suggesting this is kind of in a choppy range and that there should be a pullback. I don't think it should break unless there are really negative conditions that whole 29 to 27 area should be very strong support. That's the way I'm looking at it right now. But as an add to, because it's had such a big move, I'd have a little patience and I'd say probably, I would let it go if it goes higher than this, but on a shorter term basis, the number that I'd be looking at is between 30.20 and 29.80. If it does pull back to that, it says, okay, deeper correction underway. That's kind of the area that should be the big support and that's the way we'd look at it. But right now, if you didn't grab it as it was moving up, I'm not going to tell you to grab it. Two points above where you were looking at it. So let's see if you can get those two points on the way now. So I want you to do one other thing is right now we were talking with Kevin earlier on about Zillow. Wow, down 9.98, 87.39. I didn't want to say anything to him because he was talking about the options and it's now unfortunate. Wow, if the options were at the time that we were talking about it early this morning, when it had gone from 103. No, it was 104.05 on the 29th. Yesterday, a big red candle. Today, another big red candle is down at 87. A lot of people are talking about this. I was going to mention to Kevin that I didn't really have time that as I recall, they had gone into the house flipping. They actually called it, I think, when they went in about 18 months ago, maybe a little more. And maybe that wasn't such a great thing. We'll see because they've gone from 208 back in. That was February. Yeah, February of 2021 of this year, 208 trading right now a little lower at 87. I mean, that is one big tumble. So, wow, 208 to 87. Yeah, that's a real problem. And that's what we're seeing here in the market. We're seeing, as I said before, with the insectars, you're seeing, look at the HEX, this is the housing, Philadelphia Housing Sector. Look, it's up near the balance highs, not the all-time high, which was in the 538-ish area. It slumped down to 440, and it had 439, screened up to the 480, 4-ish area, announced 473. So, it's funny because with insectars, you can get huge divergence. Look at this, SPG. This is Simon Properties. A huge gap up today to 159.97. All-time high of Simon Properties was, I used to have this so totally notated, it's not now, was a Chapman Wave 2-bar reversal, 229.10 high, July of 2016, 298.47 high, August of 2016, so it's gone from just about 230. It slumps down to the 40s, 41, I think it was, back in March of 2020, screams up to 155. This is Simon Properties, this is the whole COVID thing. And look at the nice recovery. Now, look at this gap. Is this gap going to be full? We don't know. But this is, I really have to call it a Leg C in the weekly chart. I could call it an alternate count, a G-C, but I don't see why. Everything has turned positive, 93% in the stochastic in the week. Yeah, I like that. So I'm calling it a Leg C. So you can see that even with insectism, we spoke about this when I did Tom's, Tommy's show, the RTH, the market vectors went to A, P, B, P, C, P, D, it made a P, D right here. This is RTH Van Ek, Van Ek vectors. I just don't have the right now. Yeah, and then he has the chapter where falling exclamation. You could have one more pop to the upside, but it is almost at, it's within a couple of points of an all-time high, all-time high in the market vectors after the COVID. And yet the administration is talking about pouring money into the economy. I just, I'm not, I don't quite understand it. Maybe it's beyond me. I just don't know. But that says, wow, money is there. People do have money. Otherwise they couldn't be spending like this in the retail area. Okay. So, so question there, question there, question there. I wanted to go to, had a lot of, there it is. So let me see if I can get this. So that's quick views. Got it. There we are. Snap. Jane. Hi, Basil. I have a couple of calls on Snap. Could you please give your opinion on this? Thanks. So Snap. Yeah, we go. SNAP. Ha. So Snap, as I recall, was doing great. And then kaboom. It goes from a peak F in the weekly chart, probably an F in the monthly chart, and a peak D in the daily. Remember how important these peak Ds are on the daily chart with a high, an all-time high, I believe it was, at 84 or was it 83? 83.34 on the 24th of September, makes this cup formation and tries and tries and tries and bam, it gets hit. And what happens is it gaps down on the 21st of October. It's trading in the 73, 75 area. Next day is trading in the 55 area. And then it slumps down to the 51s. Yeah, yeah, 51.66 on the 27th. And now, so you didn't tell me, Jane, exactly which calls strike positions you have. My suspicion is that you're real close. My guess is I shouldn't just guess, but I'm thinking, so I would do this. I have a three-bar rule with the gaps upside or downside. This on the downside did exactly what you're looking for if you are negative. You want to see it gap down, fail to get even into the gap on the upside of the bar that broke down. Instead, it closes below the left side low of the gap down day, tries to ready fails and makes lower lows. This is a really negative scenario. So if I was you in terms of the calls it's trading at 52.91. Let me just do this because I really don't know which calls you're looking at. Okay, let me just go here with a 30-minute chart. Yeah, you see lowercase h goes to a lowercase m pattern with a very small couldn't even bounce very much. Ooh. You know, even if you said to me puts I'd say this is tough because right now it's in the rectangle formation which says I'm stuck in a narrow trading gap. I'm going to do a little walkthrough in the break. I'm going to do that and then I'll get a chance to do what I was asked way earlier and I said I'd do probably show you when I said I'd do it and this is Sherman Williams. I'll do them both. When I get back we'll do a quick synopsis on Sherman Williams and we'll do a quick synopsis on Yeah, guys, it's a synopsis. 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A lot actually looks like it's more like a D $323.82 to $323.30 Let's pull back. This doesn't make it real simple. If it closes above $315.80 at any point in the next two days that's kind of bullish action and it's probably going to try for a leg D but if it starts to fail here my target would be excuse me today's low is $310.92 if it can slide to $310.40 between today and tomorrow $308.40 period of exponential moving average next target to the downside and a lot of it based on this 120-minute chart looks like downside is ready in play right now. So I hope that helped you. Next question was Snap and all I can say is call position right here at $5293 I'd be real careful I don't know if it's in this month you've got weeks to go so yeah that's fine but I would make it real simple. If Snap trading at $5295 can break above $54.11 that's really asking if it can get above $54.11 I would immediately just have a trading stop in your mind and say I will exit the I'll exit one position and I'll hold the two and let's look at it again tomorrow so that's what I'm looking at because if it starts to slide under $5292.40 it's just stuck in this range and I don't think it's going to break more to the upside I think it will probably break a little bit more to the downside. Next question was Qualcomm what was the question Qualcomm good morning I've got Qualcomm today at $135 for earnings play it blasted up to $152 in August what do you see in the charts thank you Mike Qualcomm so Mike what I'm looking at here is that in Qualcomm it's made a very quick VPC D&E it's on the $200 improving average to get to the $139 because otherwise I think it's going to go back to the $132 so just be a little careful, bells are dropping signing off, the wonderful guy will be back with Tom O'Brien later this afternoon