a presentation of TFN. The Tom O'Brien Show is produced every business day. Tom takes your phone calls toll-free at 1-877-927-6648 internationally at<PHONE_NUMBER>. Let's go to Eddie and Bookarton. Hey, Eddie, what's going on? Hey, Tom, how are you, man? I'm doing great, man, yourself? Good, good. It is a treasure to have TFNN every hour during the trading day to be there, to help you to guide you, and even to give you some peace of mind, or did somebody else is there with you while you're trading in a crazy market, either up or down. Well, listen, we appreciate you growling, prowling us out here, because we wouldn't be out here, folks, if we didn't have all you guys, gals, tigers and tigers as clients. And the market teaches you every single day, man. Now, Tom O'Brien. Welcome, folks. This is Tom O'Brien of TFNN. We go five days a week. We go seven hours a day. We go 24 hours a day on the internet at tfnn.com. Always remember, folks, whatever you think about, you bring about whatever. You focus on growth, hope everyone's having a great day, safe day. Make it a great night, folks. Don't take anything personally. Your truth is personal to you. Your own opinions and point of view to reflect your own agreements and are personal to you. There's no one's truth. It's no one's truth, but your own. Market-wise, let's take a look at it out here. We have the Dow Industries up 355, NASDAQ up 120, S&P's up 39, gold contract down $5.80. Trading at $17.72 an ounce. You got Silver up 20 cents. Trade at $22.81 an ounce. Light Sweet Crew up $1.41, $71.91. A barrel, notes and bonds. The 10-year note down two ticks. Trade at $133.04. 30-year up eight at $164 flat and $king dollar. King dollar is up 200 ticks. Trading out at $93.408, Euro 116, Yen 109.79, the British pound, $136 to one US dollar. iPhone numbers 877, 9276648. Give us a call, folks. Wanna know what's going on in y'all world? In the world, Liddy S&Ps, let's take a look at them. What do you have? We got the spy right now trading up for 10. You, over the high of yesterday, we got another contraction of volume up here, and we're at 437.61. If this is where we end up closing folks, that's the thing I suspect coming into a Friday you're gonna get another little pop. You get light volume. My take is that we're setting up a very large ABC structure on the way down. We take a look at the NDX 100, the three Qs. What do we have at the three Qs? Three Qs out here actually look like they've failed today. So this one's gonna be really intriguing. This is the number you're gonna keep your eye on coming into the close, folks. It's 369.25. We made 371.07 out here. That was the top of the downdraft of Monday. We got over that and we're gonna close underneath it. If that's what we have, the NDX 100 is gonna lead us to lower prices. Gold, gold contract out here, trading at a price point right now. We're down eight bucks, you're trading at 1770 and this is gonna be cool looking at gold. This is always cool looking at gold on Fed Day, okay? So this is what you had. The bottom line is that we get up to a price point of 1788. You get down to a price point of 1764. We're trading out at 1769. You get 156,000 contracts trading. That's a higher high with more contract volume. We're going higher. We take a look at the silver market. Silver out here, December silver. You're trading up 13 cents. It's gonna be the same type of chart, I suspect when we take a look at it up, down, all around, there's no doubt, man. So on the silver market, you got up to a price point of 2315. We get down to 2245. Right now you're at 2274. Notes and bonds and this is the market, man. If you wanna know where the interest rates are going, this says it all. Bottom line, lower for longer in interest rates. 10 year down three ticks, trade 146. That's a sideways move. We take a look at the 30 year. Inside of the 30 year right now, you're up six ticks. You get 342,000 contracts traded. That's basically, that is higher volume. The 30 year as well as the 10 are gonna be going after the highs of the fourth of August. And King dollar. We go take a look at King dollar over here. What do you have with King dollar right now? King dollar is up 209 ticks. King dollar looks like it wants to go test the last swing high that we had up here, which is on the 20th of August. Our phone number's<PHONE_NUMBER>. Fed day. Okay, so we had out here is this, folks. You had status quo happening. You got the powers out there right now on a press conference. The way that it's looking, taper's gonna start maybe in three, four months. The bottom line is that rates aren't going up until 2023. And we are in September of 2021. The thing that's so intriguing to me about, in general, about how, well, in general, how people, where people think rates are gonna go, meaning they're gonna go, when they're gonna go up, versus what the Fed continues to say. These rates aren't going up for a long time, folks. That's the real bottom line. So it's gonna be lower for longer. The market's telling you it's lower for longer out here. It actually cracks me up when I look at the gold contract out here, because it's like, yeah, you smoked it on the way down today. I would say you smoked it, because we started out at 1775. We go to 1788. You come back down, good luck to the folks that want to shot gold at this particular point. That's my, and the reason I'm saying that, folks, we're in a low interest environment for a long time. We're not talking like months. We're talking a couple years. That's the real bottom line. That's how this thing is shaking out. So we'll see how the rest of this shakes out, but that's how it's looking. Inflation, they're talking about inflation out here, meaning at the Fed, they're still basically saying that, hey, listen, man, we're only at 2.2. Inflation has come back, and they think it's gonna get under control, not under control. They'd like what's happening at this particular point, that it's gonna calm down three or four months. I don't see that happening, okay? I see that they've allowed it to go, and it's one of those things. You always gotta be careful what you want. Inflation's here, and it's here in spades. Let's go take a look at the oil market out here. The oil market's getting some movement out here. We get the oil market up $1.44. We take a look at that active contract. Right now, what you have, you have $71.93, and we have, let's see how many contracts. You get $354,000 contracts. You're approaching the highs of last week, and you get volume behind the move. This thing was, this thing's gonna go after its highs of $73.58. That's how this baby's set up. If we go take a look at the OAH, which has a few of the energies in it, that's up $485. Some of the other high volume equities, oh well here, let's do this. Facebook is getting smoked. Facebook right now, and this is all about, folks, this is about the aspect that Facebook had did a filing actually, that the change in the Apple operating system has hit them. That's what it comes down to. They had talked prior that, hey, listen, they thought this thing was going to happen. And, well, let's see, what do they say? The bottom line is that they said, and during the earnings trial in July, they said that they expected to get hit. Well, the bottom line is that today, they are basically saying that, yes, it did get hit. Stay right there, folks, we'll come right back. 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. The TAS Profile Scanner is the premier market-profile-based scanner. 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TFNN airs live financial content streamed live on TFNN.com and TFNN's YouTube channel with Tiger TV, live every market day from 8.30 a.m. to 4.00 p.m. Eastern 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>. Welcome back, folks, to Dow. Dow industry is up 441, then NASDAQ's up 172. The S&Ps are up 52. Let's go into the Dow industrials and see the strength versus the weakness out here today. And we have strength out here. You have Goldman Sachs put in 83 positive points, Boeing 55, we haven't seen Boeing show up in a long time. American Express 31, Microsoft 29, taken away from United Health, minus 22, Amgen minus six, that's about it there. Inside of the NDX100, we have the strength is JD.com.  Taken away from it, INCY, that's down 7.7%, that's a number, man.  If we get back to the Fed for a second, what's gonna be, well, we all know it's gonna come down the pike about the trading by the couple Fed governors. What was interesting listening to the news conference that is still going on, Powell had got a question about the two Fed governors basically trading, is it ethical? They'll find out when this shakes out. But check this out, folks. This is what is really crazy and this is why these guys should get nailed, actually. They should resign, actually. And what it is is this. So there's one thing, let's picture that you have your ethics and you have your policy and you have all of this, right? And what, I think it was Rosengrande, okay, Rosengrande, okay, which is the Boston Fed president. He was trade, okay, so what Powell was saying is that none of them can trade banks, period, okay? But guess what? He was trading bonds. Bonds, okay, that is like the Fed, that's what they were buying hand over fist, they're still buying hand over fist. That is the thing that is so off the wall and so far out. And evidently he's that arrogant, meaning Rosengrande from Boston, the Boston Fed, that I'm gonna sit here and I'm gonna start trading bonds, okay? Bottom line, we'll see this come down the pike and I suspect there's gonna be changes. To me it would be a whole different deal.  I mean, they shouldn't be, my take would be they shouldn't be trading like you and I can trade though. You can't get in, you can't get out, you can't swing trade because can you imagine, man, it'd be so cool having that type of information, right?  That's the real bottom line. It's just a matter of when that money came in. That's how this shakes out. Look at this gold contract, man. You know, what cracks me up about gold today is that all you have to do is really understand what the Fed is saying and it blows my mind that they even could get gold down to 764 today. And the reason I'm saying that is that if you are a fundamentalist this makes zero sense, okay, that the aspect of gold would be going lower because what we have going for us is that you have inflation going in a huge way. You have interest rates. When I heard that they started talking about 2023, it's like 2023, man, that is amazing, okay? We know that it's September of 2021. And we also know in the aspect that no one knows where the economy is gonna be another year from now. I mean, that's a reality, okay? The bottom line is that we'll see whether people come back to work. You get the Delta variant out there, which is hitting a couple sectors of the market, okay? So this is what gets so intriguing here as to market-wise, okay? You know that as soon as Delta pops its head up again, okay, you get the travel, which is a problem, and you get the restaurants, which is a problem, right? Once that gets rid of, yeah, those people will come back simultaneously as those got hit, guess what? The whole deal about working from home, those equities get more business. So there's still a lot of wildcards that are out here that will play out. That's the real bottom line. And the biggest wildcard I would say out there is that when is the Fed going to be saying that we are at full employment? That's the kicker that is gonna be, I would say, well, to Powell and to the Fed, that is the biggest question. And that's when the liftoff's gonna take place. If you actually listen to what he's saying in the news conference, the aspect is gonna be very, it's a very high-level bar in order to basically lift off rates. And now we're not even talking about the aspect of the debt structures that we already have out here, okay? So we'll see where it shakes out. Market-wise out here, and this is what's really gonna be cool looking at this whole thing, particularly if I'm right about the aspect that we're gonna be seeing lower prices coming out. It's gonna be like, okay, why are lower prices coming at us, okay? If in fact, the bottom line is that it's gonna be, you know, an expensive money for a longer period of time. My take on that, folks, is that you're in a correction. It broke the trend line with conviction. And when you break these with conviction, they're at a whole different ball game. And you break with conviction, it's just time that, you know, folks are gonna take money off the table. It's real, listen, it's real possible that they're taking money off the table for the aspect of, let's say a capital gains tax is gonna go up maybe 4% next year, you know? And 4% ends up being a lot of money when these large funds are talking about huge amounts of money. So we'll see where it shakes out. FedEx, FedEx getting smoked in a monster way out here. FedEx is down 21 bucks, you're trading at 230. They came out with numbers last night. Bottom line is that their expenses are going up, going up pretty quick. So we take a look at FedEx, let me see, bring this a little bit close so I don't need a 20-year chart. We'll do a 10-year monthly chart on FedEx. So you're back inside the breakout area, which is a problem. Now FedEx, it hit highs, look at this, man. See, someone always knows something, man. It's just pretty amazing. Okay, so picture this. On a monthly basis, FedEx hit a high of 319. That was the month of May, right? Look at this month of June. Now this was subtle, but the month of June, big selling, man, big selling. That's volume off the high, 59 million on the month. You made a high with 38 million, you come off the high with 59 million. You never like to see volume off the high. Volume off the high, folks, is large funds getting out. Next stop in FedEx last, 217 is game. And where I'm getting 217 is the aspect that as you are pulling down, that's the last time that we had big volume. You had big volume in the month of, was September, it's a year ago, September of last year. So we'll see whether it can hold that price. It's a big number, it certainly is though, because what we're gonna also have is that you're gonna break a consolidation and you might have the volume on the break. Yeah, you're gonna have the volume on the break. So when you get a volume on a break you'll have a consolidation, what happens is this. 234, wow, that's 130 something. I don't see that just yet. Stay right there folks, come right back. 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. 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Using this first-of-its-kind program, The Art of Timing the Trade Chart allows you to scan thousands of stocks for Fibonacci formation setups, including guardleafs, ABCs, butterflies and much more. The Art of Timing the Trade Chart is designed to help you when scouring the markets for stocks just beginning to form the trading patterns that many investors spend days, weeks or even months searching to find. And right now, we're offering licenses available at only $79 a month. We are so confident that you're gonna love this new charting software that will even give you a 30-day unconditional money-back guarantee. Don't miss out on this incredible new piece of software. 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. Welcome back, folks, to Dow. Dow Industries right now trading up a 440. We get the NASDAQ 180, SAPs are up 52. Adobe also come out with numbers. Now, in Adobe's case, these were good numbers. But the bottom line is that the market had much higher expectations as to where Adobe was gonna go. So Adobe came in with a 3.9 billion to the top line, $3.11 to the bottom line. Adobe's down $19.70 right now. So let's take a look at this, baby, because this has a, let's see. Look at that, that same deal, man. You get a high volume, no, you don't have a high volume high. These are always problems, man. Oh, man, look at this. Okay, let me put this on a weekly first. Because on a daily, okay, Adobe could be a problem, man. You know, Adobe had broken out, well, let's see this, oh my God, I think I finished an ABC up, but this was a monster one. Okay, so on a weekly, 536, my God, it was almost 270. 425, 26, 27, 2690. Oh, you gotta look at this, folks. Okay, so check this out. This is what Adobe did. Adobe, okay, had a confirmed ABC structure on the way up going. The price projection was 690. It got to 673. This, Adobe can make it all the way back now to like 570, 570 to 535. Back to the breakout area, that's how it looks. Adobe also, if you wanna see how this works with volume off the high, someone else was also getting out of Adobe last month. 12 million shares traded after making highs with 7.5. Little problem there. Let's go to our man, Frank in Gloucester. What's going on, brother? Hey, how are you, baby? I'm doing great, man, yourself? Good, good. You ready for some good football?  Geez, you know, we're not going to Notre Dame this year. I have a grandson playing in the band at Georgia Tech. So we're going down there one of these weeks. Oh, man, you gotta be psyched. That's awesome, Frank. Oh, yeah, that's great, yeah. That's huge, that, you know, that's a huge workout, man. Oh, man, I watch those. Oh, he's got like three to five o'clock, five days a week band practice. I know, man. I know, pretty good. That's awesome, Frank. Congratulations, man, that is really cool. That's the point. Yeah. I'm looking for stuff not to sell. I've been selling off here for a while. Okay. And I used to work in the utility industry for many, many years. Okay. And I had some utilities and AES is one of them. So I'm looking at a daily chart and I'm looking at a high volume swing low back January 27th and it looks like it's stopping at the top of that bar. And I'm wondering what you think of support right there through this downturn. Okay, let's take a look. So the AES, the low $17, the highest $29, bottom line is that they take in a lot of money. They're taking $9 billion, well, $10 billion a year. Nice. Yep, totally, man. I know. Okay, so let's put this on a weekly. I can see what you're saying. It's coming to the bottom of the consolidation. Oh, yeah. Oh, you know, Frank, this is always a tough one. And what I mean here folks is this. I don't like charts that are set up like this, meaning that you're coming to the bottom of the consolidation at $23.43 when the next floor, no, it's not bad. The next floor is 21. So that's not bad. I call these like in the middle of no man's land and listen, it could be right. It could come to that bottom, Frank. And then reject it and go, I always get worried when there's just so much space below it. Let me see. Yeah. So one second here, so we don't have. Well, if you get stuff below that, below that swing low, I get 22.41 on that spring low in January. Yes. On the daily. I don't know what it is on the weekly, take a look at the weekly, but. I mean, I'd wait off just a bit. Well, I'm holding it. Oh, you're holding it. Okay. Well, then the way to do that, then just don't let it basically close under that whole deal. You guys, well, actually here, this is the day, there's the benchmark. Okay, so the benchmark is going to be the week of the 20th of November of 2020. See that bar right there? That's, I know that's low, but the top of that bar is $21.55. Yeah. You know, even if it does break that, that should give you some good support right there because you can see that it's both weeks. One week we had 30 million, next week we get 34 million. And so it's 2.5% dividend, which is nice. There's no doubt. Hey, man, can you do us a favor? You know, when you're looking at the utilities, right? Just in the future, and I'm telling you folks, okay, this is something we all should be doing.  Well, there is a big turn already, just in energy in general, right? And my take is that there's going to be a fortune made in new energy, you know? But I'm talking about something real. Not talking about a speculation that when I say, can you do us a favor? Because I really want to start hunting, not a speculative stock saying, oh, are you going to change the energy business forever? Because what we had, so check this out, folks. What got me onto this, Frank, was yesterday when, was it British Petroleum that sold? Okay, so one of the big oil companies sold all their wells in the Permian Basin in Texas, okay? So the Permian Texas in Basin is huge, folks. And the reason they did it, okay? So they're going to give out, it was BP was one of the big ones, okay? Someone else bought it, but they sold all of it. And the reason they did it is that they've already started getting into, you know, clean energy, okay? These clean energy is going to be huge, man. As soon as I saw that, I said, oh, mate, this is unbelievable. They're getting 9.5 billion. We're talking one of the major players. So it's like they're going to jump on it. And we're going to have real clean energy.  So I think that thing, I think it's going to be a lot more money made than people realize. And again, I'm not talking just a speculative one. Some of these big companies, if they're really into changing, they have the know-how. They have the engineers, right? They have the know-how that they can bring this to the masses at the right price, you know? Well, here's what they have to do because the problem with wind and solar is they're great when the wind is blowing and when the sun is out. Yes. But every night, the sun goes in. Sure.  So they maintain fully staffed to kick in whenever the wind doesn't blow. Right. And that's horrendously expensive and that hasn't been factored into this new energy market yet. Right. But, you know, I do see what the BP's are doing and things like that. And I'm scratching my head a little bit over it, but yeah, I got my eye on these things. Yeah, because if the, and I'll get the name of the company folks, I stopped reading and I said, you know what? This is here. I mean, picture this. If you and I had a big oil company, we wouldn't sell one of our best assets saying, okay, man, we're gonna go put more, you know, knowledge and research into something else, man. You know? Cook and brother, have a great one, Frank. Have a safe one, man. Bye-bye. Stay right there folks, we're coming right back. Are you in the market for buying or selling real estate in the Bay Area, including the surrounding St. Petersburg, Tampa and Clearwater markets? Tiger Real Estate LLC is a firm that has extensive experience in the Tampa Bay Area. Whether you're looking to sell your current property for maximum value, or you're in the market for a second home or investment property, Tiger Realty has the experience across all areas of real estate in the Tampa Bay Area to help buyers and sellers make the most informed decisions across all price levels. From the price you should be paying per square foot in certain up and coming areas to the type of cash flow investment properties that are capable of creating, Tiger Real Estate can help you make the best decision when it comes to all areas of the market. Before you make one of the biggest decisions of your financial future, call Tiger Real Estate LLC today at<PHONE_NUMBER> or email us at tiger at TFNN.com. That's<PHONE_NUMBER>, call us today. The technology around us is changing every day. With so much happening, it can seem impossible to keep up with all the information. David White's investment newsletter, the Technology Insider, is designed to give you all the information you need to understand the technology that shapes today's markets and tomorrow's future. David White has made his living staying on the cutting edge of technology. His weekly newsletter will give you specific recommendations for valued tech stocks, as well as entry prices, target prices, and stops to set for each trade. Dave delivers his weekly newsletters every Friday with updates throughout the week. You can get the Technology Insider at TFNN.com for only $37.50. 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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. Toll free at 1-877-927-6648 internationally at<PHONE_NUMBER>. I'm O'Brien. Welcome back folks, a doubt. That was up at 399 NAS except 178. S&Ps are up 49. I guess today folks is Brian Andrus. Brian is the president of Andrus Development Group. Andrus Development Group is a trademark and brand of Stoneridge real estate company. They are currently renovating an abandoned 380,000 square foot condominium in Clearwater, Florida into top-line luxury residence. You can visit them at marinabay880.com. And I can tell you flat out folks, okay? If you're looking for the St. Pete Clearwater area, you gotta check this out. This is one of the most beautiful places in the world. Yes, I'm prejudice, okay? Because we're in St. Pete now but I was actually right on Clear on Cleveland Street. So I know this project very well. And when you see what you're looking out at, it's pretty amazing. There's no doubt about it. Brian, welcome to TFNN. Thank you very much, Tom. I appreciate it. Thanks for having me. Absolutely. So first off, you have a great space and you can Google this on Google Earth folks, okay? And Google it, do a 33 North Garden Avenue and you'll pull this up and you'll see what this looks like. So tell us what I'd love to get into first. Tell us the challenges of taking over, you know, a development that basically was stalled. Well, it goes like this. Let me give you a little historic to give you the context of this, Tom, if I may. Yes, please. What it was and what we actually aren't, even though there was an article saying we're rehabbing it, what I inherited and what I purchased was dirt, was grass, was a lot surrounding a marina. And the in 2006, if we all remember that. Yes. It was a tough time, but there was a project going here, here being 880 North Osceola Avenue in Clearwater. Okay. I had leased and sold a very small property next door and the fence said, hey, listen, the guy who did the marina here, he did a very nice job, put in his new sea walls, lifts, water electric, very nice. He was trying to build a high and dry here and it wasn't going. So I ended up buying the property from him, but that's moving back to 2019. Now, going back to 2006, there was a large project here envisioned by somebody else and that did not take off, but they had piles in the ground, Tom, 300 or so piles in the ground. We were able to use some of those. We took all this dirt and then we built brand new, we just finished this 398,000, eight, two, eight story buildings, 87 condos. And what I realized is that having met a lot of very sharp people here in the Bay Area, that includes Larry Feldman and Jeff Finick and just a lot of different people. And people you know, people you've never seen, Steve, Gene, Felipe, there's a lot of potential here in this area. And when I remember when I was speaking with Jeff Finick and he said, and I know, excuse me, with Kevin down in Sarasota developer, he said, where are you developing?  He goes, well, no, hang on. He goes, I was asked to go up to St. Petersburg 12 years ago and I said, forget it. That place is dead. Look at it today. So he said, Clearwater, this goes back about three years ago. He goes, Clearwater, it's just, you've got Tampa doing its thing. You've got St. Pete taking off like it is. Clearwater is natural next. And it's true. There's a lot going on here. You mentioned some things we're doing. 33 North Garden Avenue is, happens to be a 12 story office building that we did rehabilitate. And that building is now home to a billion dollar company, a unicorn company called No before. So that's gone very well. We've done a lot of projects in the area, but as you know, although you're in the financial markets from the main, what we have to do here in this county and Pinellas is really make lemonade out of lemon. Cause a lot of the stuff that we're doing now is transforming the environment or taking something that was there and making it something brand new or renovating something that we have. There's no doubt. And, you know, for all the folks out here, as Brian just mentioned, very large company, No before, okay? Stu and Lars, okay? They started this company, okay? This is a very big security company. I was actually right next to them.  And then when he started it, it was like amazing. Him and Lars, they were there. Pitching this folks, I actually saw this. They were next to us at, I was at this 600 Cleveland, I think. That's right. It was two people and now this is a billion dollar company. So there is no doubt you're in the right space, man. So let's talk about, well, it's done now. So that's cool. So you got ahead of the aspect of, now people having problems getting appliances, they're having all that. So you're up and going, ready to sell these things, right? We're actually, we've got almost two thirds sold now. People are moving in starting next week. That's awesome. So we just literally finished. And the interesting thing about it is, this area needed a spark. It needs something to inspire others to get going. So we wanted to set a mark and say, look, here's something very beautiful. That's on a marine, that's on the water. It's not near, it's actually on the water. Why don't you check it out? But we're going to do it in a way that takes all our talents, meaning the team I have, my wife who's dynamic, and put that all together and create something. And we've just got great reviews. I'd love to have you up, Tom, when you have a chance and we'll show you. We can go see the No Before building again and walk through and say hi to Stu and stuff, but you can, we're only about four blocks from him. So we'll just pop over here and take a look at this. It's really a nice landmark. And we've got just great reviews from veteran brokers, from buyers of all aspects of life. And I can tell you folks, no matter where you are in the United States, okay? This is an incredible spot. You know, Brian, I came out of Boston 25 years ago and when I came down here, I was looking like, oh my God, this is unbelievable.  You're looking out the window. When you look out the window here, folks, if you have a bad day, well, I can't help you, man. I don't think anyone can help you. Hey, so let me ask you, where are the buyers coming from? Great question. Yesterday, actually, that was this morning. Wasn't that this morning, Kevin? Yeah, this morning, we had a Dr. Jay from California, Southern California, actually a well-known doctor, very nice guy. He and his family purchased one this morning. So they're from Los Angeles moving out here. We have a yesterday afternoon, somebody came down and they're picking something in there from Chapel Hill, North Carolina. Right, because the value proposition here is amazing compared to, you know, these other cities. Even when we're talking across the other coast, I mean, the value proposition is as good as you get as far as I can see. Yeah, that's true. And you know, when I first came here 25 years ago, I thought I had hit a gold rush. I couldn't believe the prices. And I was a little jaded. And so I remember telling the real estate agent, I said, look, should I offer 210? Cause they're asking 200. And he looked at me and he said, what are you from California? I said, actually, yes. So anyway, we ended up getting this property for 200, but I was ready to pay more. And so you're right. There are a lot of people from the Northeast or from actually all over. I mean, there's no one place. There's locals too. Orlando, across from Clearwater Beach. It's great cause we're getting the jobs now too.  So it's pretty incredible. Listen, folks. Okay. The website is marina880.com. Go down and check it out, man. I mean, to check it out and Google. Marina Bay, Tom, 880. Marina Bay, 880. Marina Bay, 880. Sorry, man. Well, listen, Brian, you have a great one, safe one. We look forward to having you on again. I look forward. Hey, listen, man, I definitely want to see this place. It's a beauty. I appreciate the invitation. You got an invite. Thank you, man. Have a great one. Have a safe one. You too. Take care. Okay. Bye-bye. Stay right there, folks, to come right back. Dow Industries up free 30 days, like up 147 S&Ps up 40. We'll come right back. Sharpening your skills as an investor is like getting better at playing a musical instrument. You have to practice, sure, but you also need excellent instruction from experts. At TFNN, you'll get advice and guidance from the authority and technical market analysis. And it's not just dry, tedious text either. TFNN airs live financial content streamed live on TFNN.com and TFNN's YouTube channel with Tiger TV, live every market day from 8.30 a.m. to 4.00 p.m. Eastern 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. Markets can rise and fall like the tides. Subscribe to Basil Chapman's newsletter, the opening call, and you too can ride the wave. Basil Chapman is an authority in technical analysis. 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Your investment can be anywhere from 100,000 to 500,000. Do you want to make 1,000 per year on $100,000 invested or 7,000 per year on a secured Tiger First Mortgage? The Tiger First Mortgage Program may be just the program for you. The Tiger First Mortgage Program pays 7% per year, paid monthly. For more information, you can call<PHONE_NUMBER>. That's<PHONE_NUMBER>. 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. Welcome back folks to Dow. Dow is up at 371 Nasdaq's up 166. S&Ps are up 45. And this market, folks, is going to be really intriguing. I really like where it's actually going to close because it's going to be easier deciphering where this bounce is going to stop because the queues are going to close over the highs of Monday and they are under the highs when I started the program. So that's saying that Thursday, Friday, we're still going to continue with the pop, which would be beautiful, okay? Because the bottom line is that technically, the way these always set up, folks, is this. If this pop can get into the lows of the trading days, going from the 13th of September over to the 17th, it's a lot easier understanding what the market wants to do. I know we're still speculating these, but it's a much clearer picture. And to me, that clearer picture would be that, yeah, you're going to try to get into it like on the queues right now, I can pitch the queues trying to get into 374, 32, 22, and that's where you get the rejection. It looks like it wants to close over, which would be pretty cool. And then if we take a look at the spy, the spy set up the same way. The spy right now is up for all 30 cents, you're at 437, the spy can get up and get into 445. And what ends up happening, of course, is that the bulls are going to say, okay, we're going to go for all-time highs, the bears are going to say, okay, I think we're going downtown. But I like how this is trading right now, in particular, for exactly what I just said. We're going to take a look at the IWM, because the IWM is the one that cracked and it's been cracking for a while. So the IWM, yeah, the IWM is going to still, this is up 330, but you got a big contraction. It'll go a little bit higher, but the IWM still wants to run down to this 209 area, we're 220 right now on the IWM. So we'll see where that baby does shake out. We have the 10-year right now, the 10-year is at 1.30, okay? So lower for longer when we're talking rates. Always remember, folks, the bear can claw your heart out, the bull can run you over, and thank God there's always another trade. Health happens in prosperity. Have a great night, have a safe night. Thanks for joining us, folks. Come back and join Tommy tomorrow morning, kicks us off, gets us straight for the day, nine o'clock in the morning. Have a great one, folks, have a safe one. Building wealth.


The study aims to provide a comprehensive summary of the technology acceptance of early phase home-based cardiac teller rehabilitation in patients with coronary heart disease, using content analysis on 18 studies with 14 unique programs. The results show that usability, utility, acceptability and acceptance were generally favored, while external variables such as component quality, system quality, facilitating conditions and intrinsic factors influenced acceptance. This article was authored by Hadasa Joann Ramachandran, Injong, Junie Claire Tayo and others.


Today, we'll be talking about a young Indian striker who has got the chance of a lifetime to go and impress and show everyone his skills in Europe. So, our brother, Dadi wale bhai, was moderating a press conference yesterday in which Sudheva FC's player, Shubha Baal, who played in the iLeague last season, who's been a consistent feature in the India under 16, under 17 teams and has been scoring as well regularly at that level. Anyway, what is the entire thing beyond just the news? I think everyone knows the news. The kids really want to hear this now because I can certainly see the chats. They've been saying for a long time that why are you talking European football, talk Indian football, talk Indian football. So, here comes the Indian football with some European context. What is this and what can we expect from Shubha? Because there's also a lot of, how do I put it, what is the word? There's a lot of offers coming from time to time. There's a lot of kids coming from time to time. But it's also seen with a lot of people that this is a marketing gimmick. Is there anything beyond this or not? That is the point anyway. Reliance was okay. Reliance Foundation had gone through a lot of guys. I don't know what happened. See, that's the thing. Reliance Foundation had gone through a lot of guys. But where are those guys now? That is the whole key. See, even if we go, where are they now? Are they coming back into our system? Are they increasing? There's a lot of play where I don't remember the names. I think a few of them must be doing reasonably well. I'm not sure. And also, I think some of these, I don't want to get into specifics of which program is sending, which players where and all of that. But by and large, the understanding across the board seems to be that the younger the player, the better it is to send them out. Particularly if you're looking to send them to, okay, maybe now in India, we think that our senior players are of the standard where they can play league football, competitive professional football already in some parts of Southeast Asia or maybe other parts of Asia. But when you're talking about Europe, it's still very much a developmental process. And so I think whether it's club owners in India, academy coaches and people learning academies, or it's even people who have interest in exploiting or developing the Indian market for their clubs which are based in Europe, even they are looking to get younger players in. So in the context of this is what something FC Bayern have started this year, called the FC Bayern World Squad where they are picking 15 kids from around the world. And those details I think everyone has and you guys can Google it how many countries, how many players, blah, blah, blah. But because of COVID, what happened was that everyone was kind of locked down in their own little bubbles. And there was no opportunity for people to interact, get along, etc. So they did this program basically virtually where because of Shubo's participation in the I-League, there was plenty of video material available. So his club, Sudeva Delhi FC were able to easily send across all of that material to the coaches at FC Bayern which includes a legend of West Germany and Bayern Munich legend Klaus Avindhala who is back to back World Cup finals with West Germany in 1986 and 1990 when they won it. So that is the level of input that these guys are getting. And that's the level of people who are selecting these players. So of course Shubo is the only Indian in the squad. And what they've done is they've done the selection based on obviously virtual videos and stuff. But the plan was to meet up in Mexico to play some games there and then to move to Bayern to Munich, sorry. And do an intensive training session with the players in the... How long? So all of these things are unfortunately being impacted by the pandemic. So nothing is really, really fixed and that's why even in the press conference the FC Bayern guys were quite reserved. They didn't want to kind of dindora pito about this whole scene. They were very much saying that this is just a start both for this program in terms of the World Squad as well as for Shubo Paul because he's a 17-year-old boy who has to start and Klaus Avindhala who was the Bayern legend was on the panel yesterday who's also the head coach of this team. He made a start with FC Bayern at around the same age. So he was talking about the kind of work that it takes from that level having the talent to realizing that talent and actually getting that professional chance, that chance to play as a pro in one of the top leagues or even a lower league in Europe. So you have to remember that now if you look at FC Bayern, they have Alfonso Davies who's a Canada international sorry, Canadian. Punjabi aagai api. They have in their second squad they have Sirpreet Singh who is a New Zealand international of Indian origin. So obviously they have a very wide scouting network and the best talent in the world is competing for playing chances. So to say that Shubo Paul is anywhere close to actually playing for any kind of Bayern team is a huge, huge stretch. What this is in essence is the chance for him to get valuable technical and other inputs on his game from top level international coaches because it does seem that Bayern are genuinely interested in A meeting and spending time with the player. They are doing whatever they can to make sure he goes over. And secondly, for him to be exposed to, like the owner of Sudeva was saying, that it's very important for players to have ambitions, goals, not just highly guys that can play, but if I can go anywhere from there, then where can I go? And the third thing is the reality check. If you are playing professionally at the age of 16-17 or at any age, if you have got an ISL contract, let's say you have become a captain of North East United for 20 years, then you may feel that you have already reached and established. But when we go out and play with talented children of different countries, then we get a little reality check that we need to work as much as possible and what is our actual level. So I think this is what Mota Mota thinks, in terms of the actual process, keep you updated because these are the shut, Indians cannot get B class to go to Europe. So nothing can really happen at this point until some of those things are solved. Sir, see, why I feel this is different and I am just trying to get you in. By the way, you were talking about reliance. The kids in the chat have put up already. These kids know everything. Mohammed and Nameel, they are saying, is playing in Spain, apparently. He is coming through the Reliance Foundation. And your secret thing, he has already gone on loan to FC Nuremberg. The kid who is going now, he has been the top scorer for India under 16 or under 15, under 17. So he is a proven player in your Indian system. Unlike the kids who have gone in the past, we all know that he is not going to get into Bayern. As much as we like to say that he is going to Bayern, it is there for the exposure. But because his club owns another club in Spain, so the machinery to set you up in Spain or to set you up in a lower league in Europe is at his disposal. So in that sense, it could only be good for the player. Certainly, it will also open his eyes. He will see the world. That's a big thing. He will see what football actually is. We are sometimes in a groove. We talk about players and matches and which is in a groove actually. Now he will say, going to Europe is not a small thing. He will understand what football is all about. And he will also realize where he stands at the moment. And if he has enough ambition, then he will try to attain the standard that he will watch. Whether he will be able to do it or not, that's a different issue altogether. But that ambition, that fire will be within him. See, in India, what happens? As you said, Siddhant was saying that he has become a captain in 20 years. So that's the end of our ambition. That's the fire I have within. But there is a bigger thing, which I think was shown to us, if you remember, by Chinbukhya. Because when he went to an English second division club, by that time he was India's most established footballer. But he still went there and tried his luck. That is his biggest achievement, I think. He was playing for East Bengal at that time and he was getting an amount of money, which is higher than anybody else. So Super Bowl should also follow that example. In India, the problem is that unfortunately, if you are an established player, you make decent money. You don't have to go outside and struggle. So it's good that he has gone at this age, so he will be able to see what exactly football is all about. I'm just saying what works for this kid is the support system around him. So he's been with this club for several years. I think he's with them. So I was talking to Anuj, I said, look, if any of you saw Sudeva's campaign in the ILEE, you saw that they did not have a proven goalscorer. So sometimes midfields and others are scoring goals, but he was not an out and out striker. So I said, if you are an 18-year-old boy, who is a junior level player, you will open up a day and he will become your main goalscorer. To which he said, why do I want to waste him over here? His growth will be zero. If I have the option of sending him to Europe where you can get a reality check for a good 2, 3, 4 years, even at the age of 23, 24, suppose he doesn't make it, or before that, there is always the option to come back because right now that bracket is there with him. How do I go? Buffer, buffer time is there with him right now. I still feel he's going late. I think if a player has to go, should go 13-14. Actually, you know, particularly because we're talking about Shubhapal in this subject and René, unfortunately, again has internet issues, wherever our producer would have been a great guy to have on the show today because he's actually followed Shubhapal. But he's followed Shubhapal very closely from the age of around 12-13. And hopefully very soon on New Slick, he's written a very nice piece talking exactly what you're saying, Pandit, about the support system that it has taken to, even like I was saying in the beginning, Shubhapal's career might take off from here. He's at the starting point. Today, other than playing that few games for Sudheva, he has not really achieved much in the game, right? No, under 16, under 17 India. There are hundreds of players like that who play age group level football around the world that don't have a pro career after, right? So we have to take that into context, but even to get to this beginning stage has taken a lot of sacrifice and collective effort from a whole bunch of people, ranging from of course Shubhapal's own family. It's not like he comes from a rich family. He comes from a small town called Salkia in West Bengal, but maybe a couple of hours out of Calcutta. So from there, to reach the Bayern Munich World Sport, all the people who have worked hard, absolutely spot on, whether it's clubs, whether it's coaches, it's trusts or foundations who are financially supporting him. And the very interesting point that both you guys were talking about earlier that will also bring out properly in the story is that Shubhapal is not an academic minded kid. All he's done since he's been a baby probably is played this one sport. So even to grow as a human being to get an education, get an exposure, his frame of reference is always going to remain football. So going abroad will not just teach him and put him or going to Europe or wherever he ends up going. We'll not only put him on a good platform as far as his football on the pitch is concerned, but if whatever he is to do in the future with his life, I think his education will be founded on what he does through football and not any kind of classroom stuff. So that's an important thing that we need to remember because end of the day we are talking about kids, man. 17 years old, he's not even an adult. So it's important to think about this. And it's great to see that so many people are thinking about it. Sir, by the way, you have a fan on the chat. Indian football addicts have spammed behind you. Bhaskar, I've seen you. He's saying, I only watch 420 grams because of Jaydeep sir. Wow! Me too. I'll tell you, there are two groups. One is the fan of Ani Bhai's politics. And the other is yours. It was fun. Sir, I'm saying that it can be good for us. Because if a boy plays, I'm not saying that he'll play outside. He's a striker. Sir, if we look at India right now, we don't have a goal scoring option. We're still depending on a 37-year-old who's been doing it for so long for us. So it's important for us. We'll have it in the morning. So instead of being taken by some franchisee or club for 60 lakhs per year and being benched forever, it is better to go somewhere and play. At least he will fill the pitch. I'm very worried about Vidya Sagar Singh, frankly speaking. Next year's job will be justin. He'll never play. Where is Jobby Dustin, by the way? He was one of the best players two seasons ago. He scored 9 or 10 goals for his swing ball. Last year he went to a franchisee for 60 or 70 lakhs and never had a feel of the pitch. He was injured, of course. Even he was out of the national team. Not only the national team, he was out of the national camp also. Yes. If he had been in the I-League for a year, for his own good, I think it would have been better. Same is happening to Vidya Sagar Singh, don't you think? Same could happen to Vidya Sagar Singh. Good. Because 3 plus 1 will come into effect. That is also there. 3 plus 1 will come into effect. So if it impacts Vidya Sagar, then good for him. At the end of the day, sir, I think in clubs, he has been taken to score goals. If he starts scoring goals, then there's no reason why. Because we don't have any goalscorer. So let's hope this 3 plus 1 and the timing of 3 plus 1 is transferred to, where has he gone? He's gone to Odisha or he's gone to Bengaluru? He's gone to Bengaluru. Vidya, yeah. Vidya Sagar has gone to Bengaluru. Yeah. He's gone to Kerala. Yes, that's right, sir. It's very difficult. But at least you've gone to a setup where you have a reserve team that's given... I remember you had done a very nice interview with Sunil once who had said that on the back of your league, the main team was played. The next day, he made the reserve team play. Yeah, he told me in the interview. And if Vidya Sagar Singh has played in the ILE, he should now live to the next level. If he goes back to a reserve team, it's a setback for him. He has played in the ILE. It's a good league. He has played a good competitive league against foreigners. This is one reason why we're not talking in Indian football because then we will talk for hours again. And then you'll say, then uncle people will start. People have increased on the chat. People will keep on reading on the chat. You'll live for two hours. 300 people will come in two hours. I haven't gone to chat for two hours. Move on. Vidya Sagar Singh, we're moving on. We're moving on. Shubha Paul all the way, best to you. We hope that you become a force to reckon with because that will only be good for Indian football in the long run.


Good morning. Welcome to Tokyo. Hopefully the summit's going well for everybody. My name is John Stanford. I am the VP of Software Development at Solinia. This is Alex Jacobs. He's on my team as a front-end developer. We're going to talk a little bit about data visualization and the process that we've been going through as we develop our product called Goldstone. It's maybe a little deceptive in the title. We're not going to talk about Horizon much at all. It's a tool that you're probably all familiar with and our goal is to talk a little bit more about other things that go beyond Horizon when we talk about visualizing data coming out of clouds. So a little bit about our goals for today. One is just to familiarize ourselves with you and you with us. We're all open-stack people. We're all working in this space and I'll give you a little intro about who I am and what our company does and all that stuff. We want to share some of our experience mostly about the process of how we look at data and develop visualizations. We want to learn from you, so towards the end of the presentation we'll leave them for questions and answers and hopefully we can all interact a little bit and share some of your experiences and see how this all resonates. So as I said, I'm the VP of development at Selenia but I'm told we can't work all the time so I do some other things. I like to hike around in the forest outside of Oakland. I have a beehive out in my yard and pull some honey out of it once in a while and I have a little rack of equipment that I use for experimentation with stuff that doesn't necessarily fall into my day job. The Selenia story is that we're a consulting and product company. We have consulting services in the areas of conceiving and working with cloud strategy at the high level in organizations. We architect and design clouds in a distroagnostic way so if you're in a state where you don't exactly have a distro choice made we can help you with those kinds of things. We do cloud integration and implementation services as well as helping adopt cloud technology. We also offer training services. Training services are in the realms of OpenStack both core and specialty and then James Louise also in Docker and CI, CD type of services as well. Our area is the project called Goldstone. Goldstone is a tool to help ingest cloud data, logs, events, API usage metrics and that type of thing and analyze that data, give you some reporting tools that help you operate the clouds that you want. The tools that we use to do all this stuff are the typical litany of things you might see in a data pipeline. We're heavily based on Python and Django. We're pulling data out of OpenStack and Docker for the front end which this talk is about. We use a lot of backbone and D3 and JavaScript and things like that. On the way back, we're using LogStash to pull in data. All that's fairly flexible and fluid at the time as we grow will change the stack as necessary. On the topic of data visualization, it's really all about the context of your data. What kind of environment are you working in? Are you in a dev test production environment? What are the timing of the events happening in the cloud? Are you seeing things unusual in a time where you're supposed to be in a low demand? Are you seeing things in high demand that don't look right? The relationships of events to other things around you in the cloud and the dimension of the data that you need to get a good sense for what's happening. Part of the challenge of visualization at scale is that there's so many metrics that you need to see to get a real picture of the meaningful elements of your data and part of the challenge is getting those key dimensions in a way that you can make sense of it without too much distraction. Ultimately, the movement of data over time is challenging to keep up with. I'm going to turn it over to Alex and he can talk about some of the theory and practice around cloud development visualization. Thanks, John, and I want to say good morning and happy to see so many people here. I generally like to describe myself as a musician with a day job and the reason for that I want to mention is that I made a fairly late life career change over into tech after being a professional musician in healthcare playing at the bedside for people and as I was in that process many people would say to me musicians make good programmers so I would just shrug my shoulders and say okay but I'm starting to really understand what that means in terms of whether we're coders or musicians or I think novelists as well or people who are holding the intangible creating patterns from things that don't actually exist and the only reason I wanted to mention all this is it's also a fascination of mine to come to a conference like this and learn more about who are the people that are actually making up OpenStack and making in this community what are our life experiences beyond this that shape the way we see the world because ultimately that's what we are creating in terms of software. So just a brief intro and now I was going to talk a little bit about theory and these are some of the things that inform where does this world of data visualization come with it and obviously at this stage nothing started in a vacuum we're looking back now to principles and design grammar that has been around for quite a long time so this slide that is showing now the central image there is something that I snapped a photo of and what I'm showing in general here on this slide are data visualizations that are not necessarily that compelling or scalable for large sets of or changing sets of data what is generally represented in a chart like this are low data sets unchanging data sets or displays for very particular presentations so I'll also show some better examples of typical techniques but it was interesting to me that there have been many signs around the Tokyo Metro and train stations that even though I was having trouble with the Japanese language I was still able to understand very clearly what was being presented and that is what we are going for as a goal in data visualization but this one on this slide is an example of one that I really could not figure out whatsoever and the slide on the left which I got from a site called viz.wtf was they called this a typical government slide it's something that presents something there's data behind it but what is it actually communicating if you're sitting there scratching your head so am I and this is what we are we want to also show examples of things that don't work so we can see a little mix and match again I mentioned the grammar or the vocabulary of data visualization and looking back a lot of what we are using today comes from people who had mastered these arts from the world of static data literally statistics and so here's just four in brief that I want to mention who have informed a lot of what we do today if we look at the grammar of graphics by Leland Wilkinson when we look at our Microsoft Excel make me a pie chart make me a bar chart or whatever it is we are working at there was a point when someone had to say well what are the elements of these graphs how do we abstract this and how can we break this down so that we can actually create these visualizations Wilkinson was one of those people who contributed heavily to those abstractions and a visualization program called GG plot or grammar of graphics was based off of his research and his design philosophies so this became a foundation for scientific journals, newspapers statistical packages and other data visualization systems so again when we see things like radar charts, maps, plots this is the person who offered up a lot of the theory behind that and looking at another master collection the visual display of quantitative information by Tufti which is the name that you'll probably hear a lot if you look into data viz and from this book I also highlighted what is often considered the greatest data visualization of all time and I forget the exact year that this chart is from here but there's a clear representation of six different variables going on here this is Napoleon's march to and from Moscow and what is being shown here are the size of the army the location the direction of movement temperature and the location of major river crossings and so to pack that much information into something so concise that you can sit here and study it and actually figure out the story from that is something that becomes a path forward for all of us trying to figure out how to do this let's see exploratory data analysis by John Tufti again this was before we had MacBooks crunching numbers at blazing speed this was someone who was coming up with pencil and paper techniques of how to take data sets and come out with summaries or theories about what was being represented by our data sets so it's, I think, tempting or easy to forget how far we've come in such a short amount of time with the increase of personal computer power the elements of graphing data William Cleveland another explanation of methodology and resources for people doing scientific research so that's where we've come from and now that we're moving into highly dynamic, large, changing data sets how do we now take those original grammars of visualization and make them something that suits where we are now this image at top here was taken from the perceptualedge.com which is Steven Fugh's blog and he's well known for someone who solves some of these problems when we look at 3D pie charts that's often something that's sort of the classic bad example of taking an old style of representing graphics and so here's a perfect example where he says, okay, well, here's what we're going to do with that we're going to put things into a stacked bar chart and how easy it is to come up with some sort of quick visual understanding of the data held behind there where here you have to look at the color you have to look up the key, it's just a mess so over here in the lower left corner Donna Wong is someone who said here I'm going to just take all these different examples and one by one give you a detailed description of here's the right way and here's the wrong way don't do your pie chart like this or do it like this and that goes forward through all of the different styles of representing data that you would see in something like the Wall Street Journal there's someone who has already come up with this and written down the list of rules this is what you do, this is what you don't do so again just furthering the grammar as we move forward in time and we're representing more and more complicated data and then in the lower right corner one of the most significant contributions in terms of what we're working on together in our company today, Mike Bostock who was one of the main authors of D3JS and the three D's stand for Data Driven Design and so I'll be talking more about that and giving a brief demo of that as well My first day in Tokyo I was out visiting a design-oriented bookstore and ended up taking this photo because I realized it was a perfect example of data visualization and so here are these pictures that I took now in our slideshow and I wanted to point out that once I give you a brief explanation here I think hopefully you'll agree with me that this is a quick, intuitive, narrative and scalable way of presenting data So the artist made up this series of life stripes and they queried, it looks like maybe a couple hundred different artists and designers and they said, I want you to record what you do for one 24-hour period and I'm going to key it by color and lay it out Now I'm not saying that I can look at this and understand exactly everything this person did all day long but what it does give me is an immediate access to a story that I can relate to I can think of the way that I spend my own days and how everyone else does as well has both similarities and overlap and also great differences and all that is contained here in the larger view where I'm looking at hundreds of people's lives and I'm instantly making a narrative I'm going into the data and making a story and making inferences and if there's any one particular pattern that interests me I can zoom into it or, in this case, walk over to the piece of art and look at it and figure out stories about the person that I was interested in looking at so I found that to be extremely effective and inspiring So, again, we're working with principles that are as old as Leonardo Da Vinci and before that but I just wanted to highlight three of his classic and beautiful images here and what I see here are in a static two-dimensional drawing I see movement, I see layers, again, I see narrative and these are just really, really inspiring ways of seeing how data is represented So, now we're going to go from the very old to, again, to the current and the modern This, again, was on the Tokyo Metro I was lucky enough to get here a full day and a half before the conference to have time to tour around and I saw so many inspiring things around the city including some that were relevant to this talk and this is something that I had read about in one of Mike Bostock's who, again, was the inventor of D3 he had talked about train table layouts as being a perfect stem and leaf chart and, again, even without reading too far into these charts or, you know, even without feeling overwhelmed by the fact that the chart is mainly in Japanese with some transliterations or translations, in some case I instantly saw a story happening here and then where I wanted to zoom in and find out more I could just read the translations here and I noticed that this is a breakdown of weekends and weekdays train times for the first trains and the back trains and you can see the shape being made here is a tapering up and a tapering down which, in the back of my mind, tells me, alright, around four things begin and around midnight they end and if I'm at the station at 1am I'm in a capsule hotel or taking a very expensive cab I thought that was a great use of layout grouping things together with color conjunction of related data over here we see motion and over in these bullet points these are just some of the, again, part of the grammar or the vocabulary of design that are being applied here this was the, I think it's the Yamanote line which is the ring metro and so much communicated here color instantly drawing my eye to the location of the ring that I'm on numbers easily decodable for how many minutes it is for all the stops coming up and so I just thought these were excellent examples to share so I'm going to turn it back over to John who's going to talk a little bit about the practice of these elements in our research thanks Alex we started working on Goldstone a while ago and the goal of Goldstone was to take in data from OpenStack Clouds and present it in concise novel ways that give you an overview of your cloud holistically and not necessarily in a project-by-project sense but across all the projects of OpenStack so it's a work in progress and we continually look at evolving some of the visualizations of clouds as we get better sense of what the data is and the scale of the clouds that our customers start to look at but on the left you can quickly see that we've got a visualization of all the a region in a cloud with all the key projects Nova Neutron, Cinder Glance, Keystone and all the things that the resources that are within those projects and you can quickly navigate to the configuration of all those things and see what's going on this is, so as a developer of the product I look at this and go, oh boy I mean I get to a table at the end and it's not really scalable but it resonates with people people can get a quick sense of the structure of OpenStack by looking at this little tree we've got some other things something that's just a log flow that we use a lot just to see if logs are being generated anonymously fast or slow and then you can quickly look at logs and search and sort those things and then one that I like particularly even though my math background tells me that it's not really valuable is the little API performance graph so we're presenting the average and the min and the max of API calls for a particular type of call across the cloud and you can quickly see whether things are performing fairly consistently or if they're trending toward slower if you've got spikes of problems and as we go through we look at this and go okay what would I do with it next well one I might want to condense it and give you some different views of these things to show how this current data 15 minute view or our view is comparing to a monthly view for instance or on a day scale is this Tuesday just like last Tuesday or the Tuesday before do I see seasonality kind of patterns and data so one day we might have something that looks more like this where we take advantage of these scaled up complex views so we talk about these things we have the data we'll go model one of these and Alex is going to show us a couple examples or an example of some of the stuff that we've done with one of these and how we started to think about it and this again wouldn't be possible very easily without the D3 package it's really amazing how a community of folks who like data visualization have come together and just put out a great set of potential visualizations for different purposes that we can draw from and go okay does this meet our needs for presenting the data concisely scaled what are its limits along the way I mean we're first of all how many folks operate clouds here so we got cloud operators and then on the other side of the coin how many folks are software vendors providing software for clouds okay so for those of us on the software vendor side we typically don't have giant clouds in our environment to work with so one of the things we have to do is think about what real world data looks like and try to model that data so our process kind of looks like hey we have these metrics we think we want to tell a story and the first thing I'll try to do is understand the shape of this data and use statistical distributions to represent that shape so for example a Poisson distribution by the way my math background is so old I do a lot of research to figure out what this all means but a Poisson distribution is good for modeling the flow of events over time so on average I have a hundred events that occur in an hour if I want to do a probabilistic projection of that Poisson distribution and say that I have an average of 100 and I have a range that comes out and I get a unique pattern of data every time I run the simulation if I have a set of resources that I can look at in my cloud and see patterns of action initiators and targets of API connection or something like that and I happen to have 25 users in my cloud but I want to create a visualization for 150 users I can look at the distribution of those resources in my real data and then scale that up using one of these statistical models so defining your target scale is important and then it's pretty straightforward to use tools like NumPy and Pandis and things like this because they have all that statistics built in so with a little web browsing about the API usage you can quickly generate a set of data that's fairly realistic for a scaled up cloud as a proxy for actually having a scale of cloud to work with and then you can generate that data and visualize it and see how your visualization performs at that scale and if it works great you hit it try number one fantastic if it doesn't then you iterate and figure out how to modify things to get a better visualization so I'm going to turn it back over to Alex for a little demo of some of this stuff and then we'll wrap it up and leave you guys some time for questions and answers okay thanks alright so I just have to turn on mirroring and let's make sure okay D3JS in five minutes or less we'll see how long this takes I just wanted to apologies for speaking above or below anybody here I'm going to try to make this narrative and not so that doesn't matter whether you're a programmer or not and just give you block by block what's going on in this relatively simple D3 visualization here and again you've already seen some D3 images in the slides and we're going to show you in action in Goldstone so here's just some basic code for telling your computer browser that you're about, sorry your internet browser that you are about to give it some instructions here's some scripts that say okay here's some basic variables for margins widths and heights and this I want to highlight data, we're just starting with data it's just a container, nothing in it at all and then now all of a sudden I'm putting one thing in there and that is what you're seeing here on the screen over here on the right it's that one thing that I put in there that's right from the start and now when it comes to D3 I'm setting up some graphics that work right out of the box with the browser this is called SVG again I know many people here are already familiar with this I'm putting in a group on that SVG and then I'm using D3 now all of a sudden for the first time saying set me up some scales here that if I give you one number in you give me a number out and I want it to be within this range and the numbers I'm going to give you are going to be within this range so for example if we were going to convert yen to dollars roughly we're going to say if I give you a thousand give me back one okay so I'm sorry ten you want to do business with me right okay so again for X and Y scales we're saying give me back things within a certain range and here's a sample if I set up a linear D3 scale range 0 to 100 domain 0 to 1000 and then I convert the system it gives me 100 2.5 turns into 25 feel free to just follow along and just keep these rough ideas in your mind and now I am putting in some axes for the X and Y axes and then here is where I put the first rectangle on the screen okay so now I add a listener because I put a button here and every time I click that I want to put a new random data point in that container I mentioned of data and then I update that part of the scale where I said remember when I told you to give me back numbers between here and here I said well here's the numbers that are going in that's changed now because I've added some new data and then I want you to add another bar and then there's some D3 specific things that are going to happen anyway so to see that in action we can see down here in the console I'm asking the browser to let me know what data is being inserted every time I hit this button so now I've got 2 and 66 and lo and behold where we originally saw only the 2 filling up the entire box D3 has automatically computed for me well now I better be able to represent the entire data set so I better scale things press it again now I've got let's see I'm having a little trouble with the mirroring apologies now I've got a 15 so that was less than my maximum scale doesn't need to change 67 oh that's a little bit higher now so the 66 has moved down slightly and so on and so forth it's updating the scales to fit the data that's going in and down here at the bottom it's also showing how many elements are in there each time I click that we see a new element being entered and I can keep going if I want now that would be what we consider a very unscalable system of representing data so I also included something in here to prune out anything from the data set if it gets larger than 6 so let's just do that again quickly now we only have the last 6 data points that were generated and if you look to the left and notice the Y axis you'll see it adjusting itself to accommodate for the largest data set now this is very jumpy this is basically the next step of taking just a static display of data there's nothing all that exciting about it how do we use all the tools at our disposal to actually tell a story about how this data is changing rather than just see one thing jumping to another well that's where D3 comes in and if we if I uncomment what's known as transition now all of a sudden we put a time element into that change and now it's defaulting to I think 250 milliseconds for each of those changes and something that was previously hidden was that when that sixth element is pruned off, when the new one comes in we see there's something that's turning red and flipping off the screen so what if I want to make just that part take a little longer well I go into what's called the exit selection within D3 and I can very specifically change things just in there and these are milliseconds here, what if I tell it well take a second to get rid of that last element there now it's sort of creeping off the screen in a second anyway that's just to show you the flexibility of data that's coming in data that's already on the screen and data that's leaving the screen what I want to show you now is a quick example of that working in Goldstone when we are bringing in cloud data right now I'm showing event counts for the last 15 minutes with an APL calls across our cloud if I change the look back to an hour well we see things smoothly change and if I look back at six hours we see that I've only been running this cloud on my laptop since 10 this morning so that's where the data ends we can zoom in by changing it to an hour and even further with the last 15 minutes and over here the x and y scales have been updating themselves accordingly so that's just a little bit of an explanation behind what is not actually magic but is a system of declarative or functional programming that Mike Bostock created to abstract away all the what's going on underneath the hood for us next piece of our demo is what's called a chord diagram and as John was talking about creating appropriate data sets in order to model real life cloud applications he used some of the python data generation tools that he mentioned as well as some of the distributions to simulate what if we had a number of users in a cloud and we needed to figure out how many of them were potentially you know potential hackers who have gotten into our system and were making requests that were mainly failing so on the front end I coded up something that would say well not only do I want you to draw me all the connections between users and the endpoints but if there was a rate of greater than 80% make them stand out all in red so we see that I can't read their names because in order to fit all these on here I had to make it too small but these two individuals here have oh sorry it's Lorraine and Jules they have been busted by the system of taking really what is just needle in a haystack kind of data until you start to make pictures about it and we realize that we can create narratives and stories and look deeper into the data that is otherwise literally incomprehensible and another example I wanted to show you briefly is this is not something that I created and again this one here I also wanted to give credit to Mike Bostock the creator of D3 I have merely adapted his visualizations to our data D3 is one of the most amazingly documented systems which have tons of examples so there's lots of great starting places which you can then adapt to your own data sets this co-occurrence matrix I just want to show you a transition within D3 in play here the problem with this here is that no matter how long I've been looking at what it represents it's a co-occurrence of the characters in the novel Les Mis I still haven't been able to figure out what it's actually saying so this is where we have to be careful between bells and whistles and actually clear narratives so if you feel so moved to figure this out you can go on d3.org and look at the examples page and you'll see this amongst many other examples and then when you've got it sorted just let us know e-mail us reach out to us on twitter let us know how you interpreted that indeed so I'm going to turn it back over to John after I can turn off the mirroring excuse me okay and now I just have to start the slide show again there you go time check okay so just sort of wrap things up here and bring together some of the recurring themes or thoughts throughout here one is that in order to do good data visualization you need to have a good understanding of the data you're visualizing as well as the audience that you want to present that data to so the Les Mis thing is a good example of hey we've got an awesome data set but clearly I'm not a literature expert so just looking at it to understand what what that means without probably doing some deeper research into the data on my own which is maybe not a great place to start if you're trying to create operational tools for folks who aren't software developers or statisticians or mathematicians so we spend a good deal of time trying to grind through that and make visualizations that actually solve operational problems problems another good point is that there are a wealth of tools out there especially in the D3 space that have already been created in that we can accelerate development by using those things and not reinventing the wheel the framework is there we just need to take our data apply it figure out the story to tell and then create that story and it's quick enough with data generation even real cloud generated data to do that in an agile way and that we should keep a healthy curiosity about the environments that our products go into and that the data comes out of and to be patient it's not quite needle in this haystack hunting but it takes a while to get a good sense of these things so that you can create real meaningful and useful visualizations that someone can look at and go this is important not only do I get it it's useful to me right now and so that's what we're striving for and it's very evolutionary in that we'll continue to work on evolving these things as we learn more and as we learn more about how customers use data so with that I'll just say thanks on behalf of myself and Alex for your time there's some a few minutes for questions out there and so if anybody has some I'll here's a question over here and then I'll put a shameless plug for Selenia hiring people up here we're looking for engineers, we're looking for consultants we're looking for all kinds of folks that are in the open stack and open infrastructure space a couple questions is D3, what's the licensing there is it a patchy license it's either a patchy or MIT I'd have to look but it's it's open definitely and it was friendly to a patchy and I heard you mention SVG is it 100% SVG based or is it also use some HTML5 specific graphic I believe it is agnostic and you just have to figure out how to do the data joins within D3 I've only been working on it in SVG but I understand people are using it for canvas as well so D3, what it does it takes that data and binds it to your DOM so whatever your DOM is if you're using SVG elements in your DOM you can bind data to SVG elements if you're using canvas elements you can do that if you're using HTML5 elements you could bind that data into those elements as well thank you do you plan eventually to have your work be used for like data like for example do you show alerts which they do or nova performance so is your product totally separate from the horizon UI or from the salometer UI or do you plan to merge at one point so we have we have a standalone user interface that leverages some of that data as well as data that we get from the notification boss and from other places so we've done some experiments with SysPanel and making panels in horizon we haven't taken it very far yet but I wouldn't rule it out in the future other questions in your JIT Hub project Goldstone, where is most of the data sourced from is it already from salometer can you put some light on that and does it introduce any kind of overheads into the default configuration or operation of open stack yeah so we do two things we adjust settings for the notification bosses in the various products so that they're actually turned on so event data gets pushed to the notification boss and we'll get that we also use salometer data coming directly out of salometer and we use SysLog to point our SysLog data at our server for ingestion so basically at our log stash interface to ingest that data of those things I suppose the SysLog thing might have some impact because you're setting up a remote SysLog setting rather than dumping it to log files on the machine to be quite candid I haven't measured the impact of that stuff yet so I can't tell you how significant it is but it's probably not that significant other questions? okay I think we're about one minute over our time so thank you again for your time I hope you enjoy the rest of the video