Live from Orlando, Florida. It's theCUBE, covering ServiceNow, Knowledge 17. Brought to you by ServiceNow. We're back, this is theCUBE, the leader in live tech coverage, we go out to the events and we extract the signal from the noise, I'm Dave Vellante with Jeff Frick. Farrell Huff is here, she's the general manager of the service management business unit at ServiceNow. Great to see you. Yes, great to see you, thanks for having me. Awesome, you're welcome, awesome keynote this morning. You have your baby, which is ITSM we know, but at the financial analyst meeting and you represent today's keynote, you represented more than just ITSM, which is good. But let's start there, so awesome keynote, a lot of energy, so much meat in Jakarta. Absolutely, we have been busy for sure in our IT portfolio. In ITSM, we really spent a lot of time and energy and giving back to our customer base and making sure that critical capabilities and features in ITSM have a lot of depth behind them as well. So making sure service level management, solid, service catalog, which is 99% adopted across our customer base, servicing over half a million to end users, that making sure that that's solid, and then additionally making it really easy for new customers to join on to ITSM as well by giving out of the box best practices in a guided setup format, like a wizard format, that they can within just a couple of hours stand up a brand new incident management process prescribed by ServiceNow and feel confident in what they're getting. Yeah, so I didn't realize the number was that high in terms of adoption of service catalog. What do you see for CMDB? I mean, when we first started following ServiceNow, it was mixed, because it kind of gets political. But now, today, when you talk to customers, it's like, oh yeah, that's a big initiative of ours, or we're already there. What do you see? Absolutely, I don't have the exact percentage in front of me, but I believe that it's upwards of 70% adoption in our customer base, and that is a difference from where we were in the past, for sure. Just like the main spring of innovation was once you get there with service catalog and CMDB.  Then your operating leverage is huge in terms of when you bring out new function and the impact on the organization, the business impact can be really enormous. Absolutely. And best practices out of the box is a huge, huge cue. Everyone we've talked to, they're smart enough now to know customization is bad. Keep it to a minimum, keep it to a minimum. Do config, but not customization so that all those upgrades are easier, easier, easier. So to come out of the box with an integrated best practices workflow, great, great solution for the customers to get up and running quickly. It is, and they're asking for prescription, and we're going to give it to them. We've got our own services arm, we have a partner community, we know between all of us in this huge ecosystem what's working and what's not, and we're going to put it in the product and make sure our customers, existing and new, get best practice out of the box. So kind of three areas you talked about today, service management we just touched on. Yep. We didn't talk about the surveys, but it's cool, it's a nice little feature you guys have added. Oh yes, that's right. So you had new and improved surveys. Operations management, so that's the ITOM piece, right? And then business management. That's right. So give us the high level on ops management. I will, yeah, sure. So we announced this year that we're putting out the cloud management platform. And the adoption of cloud is long past its tipping point. We're seeing cloud being adopted everywhere and cloud resources are extremely easy to procure, stand up and use, and IT may or may not know about it. And that becomes just a huge problem in terms of cost and even in terms of security and compliance. And when we're able to, we made an acquisition roughly a year ago, the ITAP team, and this is basically the next generation cloud management platform where now you're able to have a cloud portal where a end user can go and consume and just like a service catalog, they're going to have a service catalog of cloud services that you've already provisioned very easily with the drag and drop interface that accounts for all your policy already in those services. And so it makes it very, very easy for the business to continue to operate at the pace and the scale that they need to, but for IT to make sure that we're, we have the consistency and the compliance that we need to protect the business overall and manage cost. All with a really great user experience at the same time. So we're thrilled to be able to put out the cloud management platform. And then the second major thing that came out in the IT operations management space was around service mapping. When we went to market with service mapping, it was for all on-prem services and mapping out what that looked like. This time around, we're just, you know, book ending it and kind of closing the gap and saying, okay, let's look at what's off-prem. Let's look what's in the cloud. So you get a holistic view and are able to discover resources in the cloud and on-prem as well. And you've got that holistic view of your services mapped going forward. So I have to ask you, so we're always asking, oh, you know, when service now gets into HR, it's like, oh, does service now compete with Workday? No. And when service now gets into security, it's like, does service now compete with, you know, FireEye, et cetera? No, no. Now, when you talk about this multi-cloud, sort of mapping, visibility, there's a lot of talk about, sort of, we call it sometimes inter-clouding and inter-cloud management. How far do you go into that? I mean, can I actually orchestrate across clouds? Is it just giving me visibility? Well, it's not just, but how should I think about the positioning of service now in that space of cloud management? You know, we're out there to create flexibility for our customers and we'll start to make it happen that you can orchestrate across different clouds, regardless of what they look like. We're not totally there yet, but that's the direction it's going. Well, nobody's there. Yeah. You know, this is a jump ball for the industry. And so, and it's got to be a huge market. I mean, everybody's doing multi-clouds. In fact, somebody told me today, David Floyer told me in Europe, there was a mandate in the banking sector that you have to have a second source for cloud. Oh, really? Yeah, I don't know the context, but good news for the cloud vendors. Yeah. Good news for somebody. Exactly. So, okay. And now what about, are we done with options? That was operations. Yep, we're done with that. Business management. All right, on the business management side, the big news is the software asset management. We were able to deliver another new product this year and that's really going to put a lot of power back in the hands of IT.  We struggle with visibility and understanding where are all these software assets? Who are they allocated to? Are they actually using them? How much is it costing us? And when we're able to have visualization to that because it's on the ServiceNow platform and we understand where all those items exist, we're able to go in and very easily reclaim licenses or reallocate them. And to me, that's found money. And I just love that. I think that's going to be great. And guess what? You want to find your sourcing for your next IT project. It's right there. Right, right. And you're getting humble. That was the thing where the biggest roar came up from the crowd without a doubt. It was super, super well received. We were talking to CJ this morning about how it works and you got the platform. The platform comes out with all these features and then the business unit take advantage of those features. Now, of course, he described it differently. He said you start with a customer and then you figure out what to put in the platform, knowing that the business units are going to take advantage of it. When you think about intelligent automation, you gave an example of predictive maintenance today. So that's a use case for that so-called AI or just deep learning, machine learning. So talk about that a little bit and then I want to get into the DX continuum piece. Yeah, absolutely. You know, when we're sitting on this data set that our customers have and they want us to take advantage of it for them on their behalf, we're able to go back and apply algorithms to those data sets to say what's the norm and did it have a good outcome? And all that data is in there. We're able to model it now. You're not having to go do that and export that into some other system to try to figure out with some advanced analytics what's that looking like? You're able to be able to say very clearly, listen, here's what the normal pattern of behavior is and establish that for everything else going forward. So it becomes really clear where outliers exist and what suspect events or suspect alerts look like in your environment and then you can fire off a process to say, look, this looks like a problem. And with certain signposts associated to it, go ahead and automatically open up that incident. You apply it to change management where you're talking about predictive maintenance. Something has enough failures, automatically schedule a change window or decommission it, fail it over, back it out, move it out of the way so that it's not causing a problem anymore. We put so much on humans to do for so long because the technology wasn't there to allow us to do it. Well, it's time, it's here now. And so we can take some of that burden away. You know, I just had a thought. We talk in this industry so much about consumerization of IT and trying to mimic consumers. Fred Lutty talks about it all the time. Well, you just described, I thought about an experience of an iPhone user and anytime you do a migration, my wife just migrated from an Android to an iPhone, what question was asked? Is it backed up? What you just described is proactive. I mean, way beyond, is it backed up? You're at the point of, we're going to just eliminate any possibility of a disruption. So, I guess my question there is IT, is enterprise IT finally not only catching up, but in some regards surpassing this consumerization trend? Hey, I think there's an opportunity to leapfrog all the way and I'm behind 100%. I do, I think exactly that. And why not get way out ahead and over our skis with that and over deliver and show that yep, we can see what's coming. We're sitting on all this data. When you choose to go to the cloud and you're in all that data is accessible and you're on a single platform, it's all intermingled. You're not having to stitch together in a created data lake that's got all these different integrations pulling data and then try to sort it out from there with some data scientists or some business analysts looking at it. You're now able to lean in way more with your operation and really start to take care of it and truly own it. Yeah, I was just saying, my favorite part of your keynote today is kind of teeing off what you said, which is using machine learning and artificial intelligence on relatively simple looking processes that are painful, cumbersome, and horrible, like categorization, prioritization, assignment to take the first swag, let the machine take the first swag at that stuff and take that burden off the person because it's tedious, it's cumbersome, and it's painful. So it's this really elegant use of machine learning and AI which is talked about all the time on a relatively, again, simple looking activity that just delivers tremendous value. Yeah, I'm really, really excited about that part because there's a lot of mystique and I don't know what the right word is, maybe misunderstanding potentially which can lead to mistrust of AI and machine learning and what's really going to come of it and when we're able to say, using supervised machine learning which is the model that we're going after with the auto classification, you can work with customers to be able to let them tune the level of accuracy that they are comfortable with and so you're building trust right away with a really simple example of auto classification or auto categorization that is so frustrating for both parties, the person who's filing the incident and for the person who's going to be supporting and fulfilling on that incident as well and I just love that fact that we can start to dip our toe into this pool and wade in and create trust along the way so we don't leave anyone behind or create mistrust in our user base that we're just trying to get rid of them in some capacity or pull the wool over their eyes. We're not and we're going to be really transparent about it in the way we do it and I think that's phenomenal. And it's dynamic, right? So it continues to learn and if you have Spotify, you have a playlist, I like this, I don't like this, the playlist hopefully gets better. That's right because it took your input. Correct, right. And so taking input from the end users is going to then help train that system over time. So many questions for you. Okay, so the auto classification piece, that comes from the DX continuum acquisition, correct? So explain that. I know you guys re-platformed everything but what did that give you and let's get into auto classification a little bit. Well, it gave us some incredibly talented smart engineers and some really great intellectual property in terms of algorithms that we are able to now apply when we re-platform something, we are making sure that it works in the ServiceNow platform stack and that it is going to be available and pervasive for every application that gets built on top of the platform. Okay, so you said before, we're not just building a data lake, which I want to talk to you about that too because a data lake, as we know, turns into a data swamp and it's just a mess and then you got to really do a lot of heavy lifting, right? It's not good. I don't like that. So scary critters. You're auto-classifying at the point of creation, I would presume, more use of that data set. So how does that all work? How is it being applied? Where do you see customers getting value out of this? Explain that a little bit. Well, really I see in the ITSM side and the IT space and in the ITSM side specifically, anything that you're trying, anything that you've got to do, apply a drop-down field to, whether you're an end customer doing it through a service portal or you're an IT worker too. Like let's help those guys out. Why not? Anytime you need to fill out a field and through a drop-down mechanism, it's one discreet set of values, that's a candidate there. Now you want to have a large data set which is why incidents, incident category or assignment group or what skill set might be required to work. That particular incident works because there's tons and tons and tons of incidents out there. So we have lots of examples around what it could possibly be and then that's what the data model would be built on. You're not, this auto-classification is not meant for the obscure or the random or the infrequent. So when we're talking high volumes out of service desksies, this is the perfect setup to apply it. So how will it work?  You're going to take, you're going to have a set of data, a portion of the records you're going to use for the training model. The other portion you're going to leave behind almost as the control group and you're going to go apply the algorithms to that training set of data and it's going to start to learn and you're going to tell it what fields you want it to learn from and pay attention to and spit a model out on the other side on and it's going to crunch through all that data and it's going to give you a model on the other side and you'll look at it and see if you agree and then you're going to take that model and you'll apply it to that control set and you're going to look at what level of accuracy came out on the other side and you'll decide with that data set whether or what accuracy level you want to have. For me, I really probably 70% accuracy will work for me on password reset because in all likelihood, what's it going to be? But maybe for a VPN issue, I want 90% that you'll be able to start applying accuracy by category to then tune in exactly how you want things to work to make sure you get that good user experience. And then you'll continue to train that model and iterate. Absolutely, and you'll be able to train it as often as you like. I mean, on demand, like, yep, I want to train it again. And when you have a service desk worker who goes back in and recategorizes because yeah, that wasn't quite right, that's just the same thing as clicking the like button, thumbs up, thumbs down on Spotify. You're right, you've just given it feedback. When you train it again, it takes that feedback into account. And then that incident, the subsequent incidents they get the learning, they get the learning. There's not magical learning that happens. In this particular case, the technology's not evolved to that state. There's no unicorn back there that's doing all the learning for you. It takes feedback and it'll take some tuning. But hopefully in being able to make the feedback mechanism very easy, the tuning happens naturally, therefore the model gets better over time. Well, that's a great use case because it's relatively narrow. And you have tons of data and it can be implemented right away.  It's like, oh, please shoot me. This is the work that machines are supposed to do because it's mundane and repeatable and, you know, let me thank you. Let me get to solving the customer problem. Okay, so when we first encountered ServiceNow, we did our first knowledge, it was from 2013, and it was at the height of the big data, sort of hype cycle. And so we would ask, of course we asked, well, what about data? What about big data? And the response was always, well, we got a lot of data and we're looking at that. But now we're here and you mentioned earlier, it's not some data lake that you're processing is offloading your data warehouse. So what are you doing in that space? So it's not a data lake, it's a corpus of data and you're basically applying these AI and intelligent automation models to, can you explain a little bit about how that works? Well, first off, we won't do anything, you know, we have to have our customer's permission to be able to use their data. They show interest in machine learning services, then they will give us permission to leverage their data. And, you know, all customer data is separated to within their own instance, within their own database. There's no co-mingling of data. So there will be no data lake whatsoever. But what we are able to do, and it's on a personal level, which I just love, because that's who we are as a company, that we're offering personalized supervised machine learning, personalized auto classification. We're not taking all the data of all of our customers kind of aggregating it up and then building models against that and then saying, oh, I think this model would pertain to you. And then it's only 25% accurate or even relevant. We are building a model very specific to you and working with your data set and we have access to it with your permission and we'll go build that model using the training set as we described and then, you know, go test it out and then help you go redeploy it. So you're going to, you know, we'll pull that data into a central instance, help retrain it and then move it back into your instance so that model is always constantly tuned and then you get to decide when you retrain it. So who's we in that example? Do you have a team of data scientists that do this? This will be in our platform team. It's a platform service. You don't need data scientists to, you know, I would say on the customer side, maybe if they were wanting to interpret some of that data or do something with it, maybe they'd have a data scientist. This is just tried and true engineering and being, having a good service model behind it. It's just the central instance. Do you, I'm sorry, interrupt it. No, I was just going to say, the, you know, through our acquisition DX Continuum, those engineers are building those training models and we'll keep them up to date, but they're not literally, you know, turning a crank when that data comes in. So it's a model that they apply, it scales, it's part of the service. Now you iterate that over time. That's right. But it's the. And you can build out other training models. So we just talked about, you know, auto classification for incident, but this can extend in other areas as well. Well, I was going to say, do you think it's an opportunity for the ecosystem that has specialty expertise around, pick your favorite topic here? You know, we were talking to, something about oil and gas earlier today that, you know, they know what the model is way beyond just simple correlation to take an incident flow and predict that, you know, I think the example is the well caps going to break or whatever. You know, do you see that potentially as an ecosystem contribution as well around more specific use cases? Well, I think that would be super cool. You know, if we had customers of similar ilk, whatever that looked like, wanting to collaborate and share and crowdsource something for a greater good that wasn't competitive. I think that that would be amazing to be able to do that and we would be able to facilitate it. We don't have any current plans to do that right now, but I could absolutely see it. Well, we've talked about the ecosystem now for years to see it just burgeoning. And awesome story. Thank you for coming on theCUBE and doing the brain dump on us and educating us. Thank you so much for having us. Great opening line. Exciting time to be in IT. That was your opening line the key night. I know you got the excitement. That's time to be in IT. I mean, oh my gosh, it's fabulous. You're exploding. All right, Farrell, thanks very much. All right, thank you. Good to see you. All right, keep it right there. We'll be back with our next guest. We're live from Orlando. Be right back.


The following is a presentation of TFNN Trading Hour with your host, David White. Call now toll free at 1-877-927-6648 internationally at<PHONE_NUMBER>. Now, David White. And welcome all to another excellent edition of the Power Trading Hour with me, your unbelievable, squeezely soft host. The following takes place between 2pm and 3pm. So what do we have going on today? Well, it is options expiration. We're up 16 and a half points on the S&P cash, 28-25, a little better volume than we've had over the last two weeks. But it's starting to wane now. Starting the day with, or at least the show with 4.5 billion shares. So we finally had at least a few of the die hard shorts throw in the towel today, at least the way I'm looking at it. A lot of the stocks are up on very light volume again today. But everybody piling into the indexes makes it real easy to just drive the market up a little higher, a little higher. Don't see any signal right now to pull the trigger short on the market. Certainly have a lot of stocks. Again, options roll over on Monday and Tuesday. Generally, you have the next big trend in the market on Wednesday, as we talked earlier in the week.  So we've got that kind of options program working out. There's just not that many options out there, the option market makers, to pull back severely since, I'm going to say late September as they continue to get their hands burnt in the market that went very much not the way that they had expected. This month, there just wasn't much in the way of options. Futures were a lot easier to push the market around in the short term. But we do finally have some volume today, but mostly it's in the ETFs and indexes. Not a lot in a lot of individual stocks. We'll take a look at a few of them. We had some earnings really, it's next week, Tuesday, Wednesday, Thursday. We have a little bit more of them, so we'll look at that today. But that's kind of it. Do finally have a little bit of volume after not having any way, any real energy on the way up. The question is whether or not this is the equivalent of a blow off top in a light volume market. 825 on the S&P cash, the Dow's up 163, the NASDAQ's up 74, the Russell's up 12. And for all the bad news that everybody's raining down, market seems to be just kind of plowing along. Like Old Man River, he don't care if it's sunny, he just keeps rolling along. Anyway, enough of my singing, let's do a little history. It is history repeating it on this day in 44 B.C. Julius Caesar, the dictator for life of the Roman Empire, is murdered by his own senators at a meeting at a hall next to Pompey's theater. The conspiracy against Caesar encompasses many as 16 noblemen, including Caesar's on protege Marcus Brutus. And you got to say maybe Caesar wasn't the best guy in the world, but all the people, all those senators around him and the noblemen, far, far worse. So you don't always get to pick a great leader, maybe a good leader. And then hopefully you don't have a lot of people around you that are bad. It kind of makes you think about the UK right now in Brexit, that everybody said what they want to do, everybody's going to fight it. I wonder if May goes into the gallery one time, and they all attack her, but he'd never know. I think it's kind of close, it's split, kind of almost split, not that many more people for it than against it, at least in their House of Parliament, but it is a little weird. I don't see 98 Microsoft any time soon, 117 now, let's see, 108, 110 on the pullback. Well, I'd have to take a look at the chart. I still think you're going to get that. I don't know what it is. They just keep doing everything so perfectly. It is a problem in this. Now what I just liked today, and like I said, this is going to be Monday's show, I'm going to probably devote to all the stocks that blew through highs today on No Juice. On Microsoft, you were looking for 71 million shares from the October 3rd high. Today you're breaking through that on 27.8 million shares. So there just isn't that much in a way of push up here. I still think you're going to see 98. Now the question is, do you want to make some trades in between there? I don't really. I think that the only safe place to enter this stock now is about 98, and yes, I do think it's going to get back there. And it may not be because anything bad at Microsoft, it may just be because all the mounting problems with everybody in that sector. I'm going to talk to Tom O'Brien about Facebook in the bottom of next hour. And I mean, there's some really bad juju going on in that sector from Amazon to Google and others. These people got a multitude of cents. Several companies have tried to keep themselves out of the press. And Microsoft is one of those, but I don't have any problem thinking that this thing could have a 10% retracement. And certainly if volume doesn't change by the end of the day, you're going to break through a previous high on maybe 50% of the volume. So that's it. And the question about CRM, do I have time? Yes. Let's take a quick look at CRM. Doot, doot, doot, doot, doot, doot, doot, doot, doot, doot, doot, doot. Same kind of thing. It had the volume and instantly rolled over as it broke through new highs. This is actually looking more like a short than anything else. Like a lot of these stocks, the next close below a 90 moving average should be some fairly decent destruction in the market. Now, if you don't get that, that's fine. And I don't want to anticipate so much as weight for these closes, but almost there's just literally a ton of these stocks that are set up and could see some very bearish scenarios. Salesforce to me looks a lot more like what's the guy's name, Market Clues. He called it a lenticular or a contact that just looks like a big dome. And Salesforce looks like that. It looks like this big dome that could dome and set itself back down to about 132 in the market. Anyway, I shall return after the short time out. The Taz Profile Scanner is the most revolutionary piece of trading software that you will ever try. Wouldn't you like to approach the markets with confidence? As you begin your trading day, it's likely that you'll be faced with lots of decisions. In order to make the best decision, the first thing you'll need is a strategy that will help you minimize your risks. Whether we're in a bull or bear market, a good strategy is to have the tools needed to help you scan and analyze the markets before you trade. The Taz Profile Scanner instantly scans and filters over 2,500 global financial markets, such as stocks, ETFs, commodity futures, and forex. 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Details on the Tiger's Den are on the front page of TFNN.com. TFNN has launched our brand new website. You can still visit us at the same TFNN.com URL, but when you do, you'll see a new and improved homepage with a much simpler navigation, whether you're watching Tiger TV live in high definition or just accessing your newsletter subscriptions. We even have new pricing in six months and yearly options. Check out the new TFNN.com now and experience all the upgrades. TFNN.com educating investors. Call free at 1-877-927-6648 internationally at<PHONE_NUMBER>. As we come back, I wanted to look at a few stocks. ACWV, which is iShares, let's actually get the ETF info on this one. Move that over here. Minimum volatility index. I don't know if this says a lot. I don't know a lot about it, but I did notice how this came up on very light energy and now is back up. And basically it's a setup for low volatility in the market. And it's been doing nothing, but going up since that December 6th low would kind of give you an idea that maybe there's some kind of very low volatility market coming in the front. Quick question in the emails about gold and any comments I have about that. And I think the one comment I have is that it certainly looks like gold is the place over at least the last few weekends that investors want to park their cash in until Monday in case something horrible happens. A lot of times it's crude. And now it kind of looks like it's shifting to gold over the last few weekends. So a pump today would be very interesting, especially if you don't get any pullback on Monday for gold. That would tell you a lot. If it does pull back on gold on Monday and we find out that they just parked a lot of cash in gold over the weekend, that also tells you something a lot more. I don't know that you can read anything more into that until Monday to do what else do we have?  Beneficial interest, what is this here? This is the Enhanced Global Dividend Trust, the BOE. You actually have some volume up here in dividends which makes you think that people are kind of moving over here. What you don't have is any energy, again, off that December 24th low. I don't know if you can make a great deal off of that. Biotime, a little biotech company, went into $1.65 on January 29th with 10 million shares. Get that with 1.5 million shares yesterday. A little bit of a pullback today so far. I don't know if there's a great deal to be read into that one. Cars. And this is just back into the end, just close this gap. Energy is more kind of going sideways here. Looks like you're getting ready for energy to go back to the December 24th low. C-S-A-S-C-A-S-A, excuse me. Nothing new in that one. CDW, this is a company, we probably don't talk much about it. They supply a lot of computer components and parts to business. This one had a two million share high on December 4th. That was $96.75. You got into it today with 191,000 shares. You had 800,000 shares two days ago. But again, up to these highs, not a lot of juice. This one is about, I'm gonna say 15, 18% off on the energy way on the way back high. Higher, I guess I have to say it. Chesapeake Energy just bouncing around that. High, I don't see anything in SIGNA. Columbia Bank, kind of wondering if there is in Columbia a lot of juice to be had as Venezuela continues circling the drain. Don't see any quick resolution of what's happening in Venezuela. Maybe you always have to worry about it coming over the weekend. You certainly have a light volume test of the $50.70 high of the April 11th, 2018th high in this bank from south of the border. So far today, you're in it with 532,000 shares. COG, Cabot Oil and Gas, we were looking at this one. Go a little slower here. Back into this reversal day of November 20, excuse me, November 14th, that had 12.5 million shares. Going into it yesterday, you had a little doji and about four million shares. And then back in this range. We certainly are setting up and tapping at the higher highs. But again, too many of these stocks just not having any juice. Probably Microsoft is the one that would concern us the most in this market. Costco against a four million share high on December 6th came in with 2.4 million shares a couple of days ago. Still hanging around here, but 1.6 million shares, not a lot of juice. CRF, which is a corner return, ETF, just going sideways. CSX, we talked about this one, hanging at highs, but also not a lot of juice. You're looking for something breaking the $93, excuse me, $73 and 90 cent high. That's the December 3rd high. With eight and a half million shares, you got into it with 4.7 million shares. Yesterday, 4.2 million shares. Today, you got 4.7 million shares and a doji. And again, what you're watching for in a lot of these right now, overall is any close below the next nine-day moving average. Basically sets up some fairly decent reversals in the market to do carnival. And just a lot of these, just setting that same thing up. Again, you had a bunch of days above and below the nine-day moving average, the next close below that on carnival PLC, the CUK, not the cruise ship. That would be a sell back down to probably about 51 bucks. To do what else do we have? Let's take a quick look at Eric. Haven't looked at Erickson for a while. Of course, probably the big supplier for Europe and Asia for 5G. This thing did gap higher. I think a little bit on a vago, some of the other stuff. You were looking for about 20 million shares. You got about 2.4 million shares so far today. Nokia is the other one in that space. And yeah, it gapped up two. Nokia has always been the better looking one of the two. Although I think Erickson has more room to run. You're back up into this gap down that came down with 71 million shares. You're into it with 17 million shares today. So you got to watch these very carefully now as these are acting scary. You might get $6.45, maybe $6.50. Out of Nokia, but man, that continues like it is. A lot of these stocks are set up for the next turn down to be rather vicious. You don't get that turn down, and that's fine. But man, that could turn. We'll be back in a minute. The path of least resistance is David White's daily trading newsletter. And if you're looking for active trading ideas, then now's a perfect time for a 30 day free trial to this powerful daily trading advisory service. David uses his years of trading experience to offer his subscribers his trading ideas each morning in his path of least resistance newsletter. Using a combination of equity trades along with options, David keeps his subscribers up to date with all pertinent market information with intraday afternoon updates when warranted. 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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. And as we come back from the break, we're gonna look at a few more stocks. One of the companies that I got asked about here was First of Solar. And whether this is a short or not. Well, you certainly tested the previous high with a whole lot less volume. So you've got that. Energy actually had a little bit of it off this March 8th low, but it looked to me like short covering. You went from eight days to cover to four days to cover, which is still a lot, but not beyond the scope of pulling the trigger on this. But I suspect a lot about what is going on here is subsidies to sell their products in the United States and those are problematic at best. And just kind of what you were thinking about already, which is that a lot of these projects had a lot of pie in the sky. Now, people are still doing it, but certainly the solar panels aren't getting any better. The technology around it's not getting any better and the pricing isn't dropping. So we're gonna have to have some kind of big storage battery kind of device that becomes economical for power production, not lithium ion batteries. I mean, they're bad enough in a car, but once you scale them to the level of a big house or something else, it becomes much more problematic. But yeah, I mean, we got kind of the signal. Confirmation would be a close below a three day displaced moving average or a nine by nine. Let's go ahead and look at it as the displaced. I use the displaced for actually pulling mine. So yeah, anything below a $54.50 close in the next couple of days would be the trigger to go ahead and pull that one short to do what else do we have on my list of stuff. Let's go ahead and do this, which is we were kind of going ahead and starting to look at stocks that are coming up on earnings. So let's go ahead and do that. And we did that a little bit yesterday. Let me move this one over, close this, get a little bit going on here. You can give me a call by the way at<PHONE_NUMBER>. Okay. All right, we gotta get a Friday and didn't have much in the way today. That's the March 15th. Lumber liquidators is Monday morning. Let's take a quick look at that. I don't know if there's anything in it. Certainly that $10 range is gonna act kind of as a board, kind of went through that and you're at it right now. I don't see how the risk, you can set up any decent risk reward for Monday. Certainly wouldn't be short of $10 stock. That would be it. Overstock.com also Monday morning. When we get into Monday afternoon for those guys in the high times, you've got to TLRY. Of course this thing blew apart from 300 bucks that one day to nothing. You know what? This thing actually starting to look a little better. I don't think I would be short this thing as bad as it is going into earnings. In fact, it does have kind of a decent bias. Wouldn't buy it. But man, if I were to short this thing, I certainly would be out because it's not a bad looking chart set up for next week. And that's next Tuesday. What else do we have out here for earnings coming up? Tuesday morning, we go to designer shoe warehouse. This one did fairly well, if I remember, right on last earnings call and started moving up. You're kind of coming back down a bit into the support area. $22.74 would be support. And too much energy on the way down. I don't know. Just retail, getting a fairly big broad brush that's problematic. For a stock that I wouldn't trade, but I do look at as kind of canary in the coal mine for what's going on in business, the steel case. They sell a lot of furniture and file systems, that kind of stuff. And you know what? It doesn't look that bad, but it doesn't look that good. You're right. The previous high tested it with 300,000 shares lighter. That's the November 2nd high compared to February 22nd high, but you're just hanging out here waiting for earnings on Tuesday morning in steel case. Oh man, this is a blast for the past. I haven't looked at this one for a long time. I remember everybody used to call in on this one. This was Westport Innovations. They were going to turn all the pickups in America to running on propane. Never ended up being anything because it was like eight grand. And it would take you like 10 years to pay that back compared to gasoline. Unless you're indoors or something and need to pick up in some kind of giant, warehouse. I never understood the whole idea of spending eight grand to convert to natural gas. Maybe it made some sense at one time. Was natural gas ever free?  If you're just flaring natural gas, maybe save some of it and use it for your truck. Maybe it's worth the eight grand. Then to convert it. This thing's just going sideways. I don't see anything new on it. Franco Nevada, Tuesday night, FNV. I don't know if these companies really move that much on earnings. Certainly holding up fairly well into it. To today, you did get into kind of a lighter. Let's see here. Lighter move. I don't know if there's anything to be made about that. Gap down. But I'm not doing much. Okay. Let's get into Wednesday. This is the one that I'm looking at, which is Wednesday after the bell, which is micron. We talked a little bit about this. It doesn't really seem to be that much. We've got NVIDIA, which I will talk with Tom about tonight about their new purchaser purchase of melanox. But you've got just not a whole lot of juice in this. It certainly looks like any downturn in the market would bring this product to the market. I'm not going to talk about that. I'm not going to talk about that. I'm not going to talk about that. I'm not going to talk about that. I'm not going to talk about that. I'm not going to talk about that. I'm not going to talk about that. I'm not going to talk about that. But if you have these things that you would bring this probably back down and below $35 box, got some, I think, fairly decent support right there. But you do need to kind of pullback to about $35. And maybe there might be something there on micron. Anyway, we'll be back in a minute. tax opportunity zone in St. Petersburg, Florida. The Tax Act of 2018 set up tax-free zones across the country where you can build and hold for 10 years and pay no tax on the profits, which makes these lots valuable. The investment is anywhere from $30,000 to $75,000. The interest paid is 7% yearly paid on a monthly basis. According to bankrate.com, the best rate for a four-year CD in the country as of February 20th is 3.1%. A $50,000 investment at a normal four-year CD rate of 3.1% would give you income of 1,550 per year or 6,200 over the four-year period. 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The funds are designed to be utilized only by sophisticated investors such as traders and active investors. Distributor, four-side fund services, LLC. Don't forget, you can listen to TFNN live on your mobile device 24 hours per day. Go to TFNN.com and hit watch Tiger TV. That's TFNN.com and hit watch Tiger TV for the latest market information. And there are not a lot of stocks that look good after they've come off highs. The Green Buyer company's GBX makes railroad cars, freight cars and that kind of equipment. North America, Europe, South America. Wheel repair parts and all that kind of stuff. Maybe the best looking chart out here we're trying to buy the lows. Your previous low came out here at $37.44 since December 24th, 842,000 shares. Came into about 318,000 shares yesterday, got just a little tick out here. What you want is a close above 37.44. Looks like you're probably gonna get that actually. And you could make a case that the expenditures for the rail companies will make them go lower while of course the spending would make Green Buyer go higher. But when you're looking for a long-term low in a stock, you might get some consolidation but basically the patterns on this probably don't get any better than this.  Again, the question is whether or not you have a little bit more in the way of consolidation. But I think you risk reward one of the better setups in the market right now. General Mills and his friend Kentucky Fried Chicken, the Colonel, back up into this gap down that goes back to May 20th of 2018, actually April. March 20th, 2018, get it right eventually. 6.4 million shares back into it with five million shares. And he actually did test it on eight million shares on September 18th. So you're back up to this level. And again, these kind of companies when the markets start to roll, these are the safety stocks. So as these go ahead and start breaking through recent resistance, you wanna keep an eye on them. I don't know if you wanna trade them but they do tell you that the big guys when the volume comes in back into those stocks are looking for some place to hide their cash. And again, the big funds, they have to be invested. And it's no different for any of these funds. The money managers will hedge the other side of it. Even if they lose money, their job is to lose the least amount of money. And that's why they'll go to something like cereal companies. High point resources to about what is going on with this stock. Quick look. Engages in the exploration, development, production of oil, natural gas and natural gas liquids. Certainly the kind of consolidation I talk about, I would like to have seen some lighter volume.  Also would have liked to see lighter energy off this February 22nd high. But again, you need a test of the 206 on lighter volume. But there's a whole lot of other stocks that haven't consolidated quite this much. But yeah, a push below 206 and then the next close above it. If you had something like a million million and a half shares would interest me. IYF, we talked about this one a few times, is trying to break through the December 3rd high. That was 120, 59, he had 642,000 shares. Today you're up that top in the IYF of 171,000 shares. So you're gonna be extremely like, this one is actually even more bearish than the charts would have been around 2007. So I don't know what else is going on out here, but man in the financial sector, you've got literally nothing. It is rare to find an ETF that my power vector indicator shows that the energy is dropped in half, but this one, it's dropped 40%. It's fairly, maybe 45% because that's a little logarithmic, 1.9 in the way down, 1.2 on the way up. And then of course, the real challenge out here is this light volume of 171,000 shares today compared to 642,000 shares. So you really have to keep an eye. General Mills got in a fight with General Motors and both the generals from the North and the South. It's well-known in history classes, but you never know. Let's check my email. I think that's some other ones coming in. Yeah, someone wants me to look at IBM. So I guess we can do that. We have time and got plenty of time to IBM. We talked about this a few days ago. I wonder if this is the same person always coming back in here. I see what they're looking at here. Yes, question is whether or not this is a short setup. The answer is yes. Again, like almost all of these stocks, the next close below a nine-day moving average or a three-by-three displaced moving average would be a confirmation of that pattern. You only need to go down about a buck or so for IBM to bust through this. In fact, 138.60, 138.70. And again, you got that Monday, but man, you're basically going into this big gap down that goes back to October 17th of 2018 with almost 20 million shares. Got into it with less than four million shares on February 26th. You're back up again with 2.7 million shares so far today. You might, if you're lucky, get to three and a half million shares. There just isn't any juice. And man, it's gonna be two or three years before quantum computers actually start paying off. Nothing else has for them. Maybe they can make the books look a little bit better by buying Red Hat, but man, it's still a very tough road for IBM in the next, and I'm gonna say a couple of years. Nvidia, we'll talk to Tom or Brian about them buying a company this week. Nvidia, the gap down occurs on November 16th with 49 million shares again, you're just back up into these heavy resistance areas again with very light volume today, 11.7 million shares earlier on December 3rd, you had 22 million shares. But again, you're going against 49 million shares and there is a lot. And Nvidia is not gonna have much in the way of a good quarter, probably until they get rid of a lot of the issues that they have with memory that they've still got to sell. They bought an entire huge run thinking the party would never end. Most of the other chips they didn't buy that many on, but they got a really good deal from Micron and some of the other memory companies on VRAM. And it's gonna be a while why they work that off. I'm thinking maybe mid-summer into summer, Nvidia could do well, we're going to break. I shall return for the last segment, then I will re-return at 3.30 with Tom O'Brien. I'm certain you are or strive to be one of the best of the best at everything you do in life. It's the most common trait that we tigers and tigers share. 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Get your two-week free trial to Basil's newsletter of the opening call today by visiting TFNN.com. Catch Tom O'Brien, professional trader and educator, founder of TFNN. Also a special guest on CNBC. Tom will bisect and dissect the markets. The Tom O'Brien Show, next on TFNN. And as I finish up the show, I wanted to get to one thing. Let's take a look at Nike. But I did hear something I wanted to replay for the show. Nike earnings next week, hanging at previous highs, didn't have a sinus drink through the September 21st high of 85, 82. I got to 87.99 with, what about five million, six million shares less than that previous high.  Volume's about the same. You are closing above that September 21st high. Energy wasn't all that bad. So you're just gonna hang around for the earnings out here. The question is whether or not there's anything left in the can. And of course, disappointing results from some of the sneaker companies, the mall sneaker companies haven't really hit Nike yet. I'm just wondering, a lot of those stores are closing. And whether they did a lot of business or some business, you think it's gotta hit it or hurt it a little bit. I was looking for some stuff over last weekend. I had this, I wanted to actually play it this week. And this is a short clip from Jim Chinos. Kind of tied to something I've seen you talk about in the past about this idea that if you're in some way changing the world, if your idea of your company is having an impact, a transformative impact, then you're kind of forgiven many things. It's still kind of like 2.0. There's a sense that if you are changing the world or believe you are changing the world, it's okay to lie to investors. And I just don't buy that. I think that corrupts the marketplace. And I think ultimately it leads to bad things for investors and for returns and for confidence. Well, I think it does too. He kind of told it the best way possible. I wouldn't have been that diplomatic about it. But yeah, if you're espousing the right views, it's okay to lie to investors. We'll talk about that later. In the meantime, sell when you can, not when you have to. We will see you at 3.30 with Tom O'Brien for the Tech Insider half hour.