as a presentation of TFNN. 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 Alan Homassasa. Hey, Al, what's going on? Isn't it wonderful? This gentleman here with the gold report right before the market fell apart ended up with P-A-A-S. We have a 98% gain in the year. And, I mean, we want 99% proof like Irish whiskey, but we had a good gain there. You always told us to do what we feel comfortable with. And if I lose a little bit of money on the table, I will, but I know that I just pocketed $8,000 or $9,000 in two weeks. That's a beautiful thing, man. Now, Tom O'Brien. Okay, folks, this is Larry Passeveno setting in for the master himself, Tom O'Brien. I'm gonna share with you, this is the Berkshire Hathaway Holdings, folks. Someone shared this graph with me this morning, and I just couldn't believe it, that 41% of Mr. Buffett's holdings are in Apple. I mean, I know this is a couple months behind because, you know, they have a lead time on these things, but that to me was really, really shocking. I always think it would maybe 10 or 12% at the most, but the fact that he was so heavily, hey, and it's been going up, you can't knock the master himself, but that's the main thing. The reason why I wanted to see that chart or to show it to you was because we are setting over what we think could be one of the very best buying opportunities we've had in Apple in a very long time. I wanna bring this up to you right now. You'll be able to see the long-term chart going over the last year and a half, and there we are. We're coming right into the 78% level down here. You can see just a tiny bit lower than where we are right now, probably around 35, I believe, some right now at Ballpark, and that should happen, I would think, either Monday or Tuesday. And the reason why we say Monday or Tuesday is we've been watching the market unfold in a various pattern for quite some time. I think what we'll do now is just go up and take a look at the E-mini S&P over the past, this is a daily chart, of course. This is over the past six months, and I just wanna show you that this is not a surprise, being down 20% because the market has been telegraphing for a long time that it wants to go lower. You'll notice that we had this really strong rally up here into the 61% retracement here. In March, we came down, and each one of the rallies, folks, stopped at a 382 retracement. And when you see that, it's very, very bearish, and now what we've done is we've taken out these lows right here, which is what we should have done, because what we did is we do time counts and compare it to other cycles. And what we're watching is the cycle from the May 4th high, which was right here. If you go out, let's try it again, Larry, let's do it right here. From this number of days out, if you go out 22 days, that takes us in to the 22nd of May or the 23rd of May. Now, maybe it's gonna be a bottom, maybe the bottom was today, I don't know. All I know is this is a very, very important area in time and price, and it means something, and it's very significant. Early this week on Wednesday, we had the market was down 1200 points, folks. We hadn't seen a 1200 point down move in the Dow Jones for a very, very long time, and that was a bit of a surprise. However, on that day, I'm gonna bring it up to you, those of you that own the Floor Traders Handbook, you'll be able to see what we follow is standard deviations. And that's standard deviation from the mean, and when they get past one standard deviation, there's problems. And notice we made a beautiful, perfect standard deviation, and what did we do? We rallied up to a 382 retracement of the high right here, over a three-day period. That came in at 3950 last night, and our load today was 3820. So I think, I don't know where we're closing because we've got another hour to go yet, but somewhere in this ballpark, it's gonna be a real stand on this, because if we start going closing below one standard deviation, this is where the option traders come in and they have to protect their positions, because if they get much lower, they have to begin covering, and that means they gotta start selling, and that's when the down move can really, really accelerate to the downside. But remember, we've been going down for quite some time. The NASDAQ is down well over 30%, I believe, during this time, and about 20% in the S&P, and I think it's about 19% in the Dow Jones Industrial Average. But you know, we've been going down, this is not a surprise, we see it every day. Anytime you see the Dow down 1200 points, you ought to pay attention to that. Now, the prediction that I made, and I thought it was gonna happen either today, Monday or Tuesday, I believe that we're going to see a down move in the Dow Jones of 2000 points in one day. Why do I say that? Well, the biggest down move we've had thus far has been 1200 points. If you multiply that times 1.618, that gets you out to 2000 points, and that's where you get to the price level that we're looking at, if possibly going down 2000 points, get us down to around 28,000, I believe, in the Dow Jones. And the number in the, we'll get the number here in the E-mini S&P here, we'll just bring it up here. See how close we are to what I think could be a really interesting bottom here. Folks, if you like ABCD and you like Fibonacci numbers, take a look at this weekly chart. I'm gonna describe it to the folks that are not on the air that are driving in their cars. And you'll notice here, this was the, the COVID low was right back here. There we came into March 27th, the market dropped that much from the high, that was a previous high. And from then on, all we did was continue to go higher for the next year and a half. Now what we've done is we're making an ABCD pattern on the weekly chart in the S&P at 37 and change. Okay, we're 38 and change right now. That means that we come in here Monday and we don't break below that 3,800 level, which is at 37,000, let's try it again Larry, 3760, that is going to be a really good buying opportunity. And why do I say that? Two factors. If you look at the AB leg, all right, the AB leg came down eight weeks, rallied up five weeks. And now we're in the eighth week coming in Monday morning on the 13th of May, 23rd of May. So the date that we're looking at is the 23rd to the 24th of May at this level. Now there's a caveat here. If we are sharply lower than 3700 on Monday, then we're going to go down all the way down to here. And that is a big drop folks. That could be a really big one. This has been one of the most orderly bear markets that we've seen in quite a bit of time. This one with COVID was not orderly. That was just straight down. They took no prisoners back in here. But here, look what we've done to some of these stocks from this level right here, folks back in January.  You can just write a book, Netflix.  So anyway, these are huge moves. And I think they're very representative of what we've got going, you know, in the market. Now something unusual happened this past few weeks here. Let's get this up here. This is an historic chart. Hey, let's take a break. 877-927-663. With booming inflation, we are purchasing powers eroded. There's no better place to protect the harder and money-thinning gold. This, the gold flagship asset, is the Monk Todd Gold Project in the Northern Territory of Australia. This is Australia's largest undeveloped gold project. We are talking a world-class gold project in a tier one mining district. This is a large-scale, low-cost project with significant existing infrastructure in a politically safe and friendly mining jurisdiction. This, the gold just completed the Monk Todd Feasibility Study, which resulted in a 7 million-ounce gold reserve in a 16-year mine life. All of this combined with the approvals of all major operational, as well as environmental permits. This distinguishes Monk Todd as an attractive, diverse partner, ready-development stage gold project. This, the gold trades on the New York Stock Exchange under the symbol VGZ. 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 markets 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. Everything in the universe is governed by the Fibonacci sequence. This mathematical principle is responsible for everything from the most aesthetically pleasing artwork to patterns in the stock market. To stay on top of stock patterns you can take advantage of, sign up for the Fibonacci 24-7 newsletter at TFNN.com. When you subscribe, you'll get a weekly report from veteran day trader Larry Pesavento on stocks you need to pay attention to and you can trust Larry's analysis. After all, he's got 45 years' experience as a day trader. Larry will also provide daily charts, videos and data on the key markets that he's tracking. Expect notifications from Larry on market movement you need to act on at any time. First-time subscribers also get a 30-day money-back guarantee. If you're not satisfied, let us know and you'll get a full refund within 30 days of signing up. Subscribe to the Fibonacci 24-7 newsletter today. TFNN.com, educating investors. Free at 1-877-927-6648, internationally at<PHONE_NUMBER>. We're back folks, Larry Pesavento setting in for Tom. Well, Brian Tom will be back with you on Monday. As you're looking at this graph that I have up here, it shows the number of times that S&P has moved more than 1% in a day. And this is historic folks, you can see it's only happened like four times in the last hundred years. So this is a lot of selling coming in but the market has held up really well. This is not a crash type bottom like we had in 2000 or 2008 or 2009, it's very, very orderly. And the fact that it's sitting right here at the 382 retracement and it's taken since January to get here. If you would have just pushed this chart up and not tell me whatever it was, I would have to go in Monday buying it blindly I think but we don't have to do blindly here. We can make a few decisions on our own. So we want to watch this level of 3760. That's the real key level to watch Sunday night. Anything below 3760 on Sunday night or early Monday morning would tell us we're probably going to go a lot farther and very, very quickly also. We have not had a situation where fear has hit the market. Even with a 1200 point down move, it was nonchalantly taken by CNBC and by Bloomberg, both. That was just basically, oh yes, it's a big correction but we've seen these before. And yeah, that's true. Maybe it's going to take a $2,000 down move to shake him up a little bit but we're very, very oversold and the market long-term is bullish as you can see from that S&P chart. Even the NASDAQ is still bullish as massacred it is has been and we're very close to these ABCDs. In my newsletter, trade what you see, I put these in for the NASDAQ, the S&P, the Dow Jones and the Russell each week so you can see which ones are leading the market and that's what we're trying to do is to find a good place. Frankly, I've been bearish for a long time folks as those of you that follow my newsletter actually ever since January 4th when we made the big ABCD up there and especially since May the 5th. May the 5th to us folks was something that was very, very historic because of the fact that the market how it was reacting within the eclipse of the 28th of April rallying eight days into the 5th of May and historically that says with only had eight samples but all eight of them worked that the market went down taking out that low just every single time and so that's why it looked very, very interesting to us but each of the rallies and I bring it to your attention because we follow Fibonacci numbers all the time that trade what you see and it's not what you think it's not what you think, it's how you think you'll notice here that each of these rallies after you see the first 382 retracement you have to start to expand the second one. Look, look, four days to make a 382 retracement four days to make a 382 retracement two days to make, well, four days to make a 382 retracement here. This is telling us folks that this is something that is very, very important and that one we had on Wednesday folks we were at 4095. You know, we've dropped 400, 300, 500 point, 400, 450 points in three days Wednesday, Thursday, Friday and that's a big move down and so it's going to be really interesting how this market comes in on Sunday night and oh, it looks like, do we have a caller coming in? Oh, it's Tom in line he's got a lot more phone lines coming in so we have someone calling in for Mr. O'Brien I hope he's not too disappointed George from Massachusetts what can we help you with my friend? Uh-oh, George, are you there? Well, I had George for a minute and then it was disconnected I don't know, he realized it wasn't Tommy and he probably got disappointed what I'll do if he's listening I'll give you my two cents worth George on gold I was one of the things I wanted to cover here today so I think that we're still in a bear market in the gold market I believe my objective on this gold is if we can get gold down to the 1712 area in the next, we're not very far away that's only about 80, well about a hundred bucks and remember, we dropped a hundred dollars here we've been bearish this whole way just like we were in the S&P each of these rallies were very, very sparse and then we finally had the big ABCD over a three day period yesterday up here at 1846 and now we back down below that 1830 level that tells us that that ABCD is going to be down a lot lower I am extremely bullish gold long-term folks but what we'd like to see is a big washout the same thing, I don't do much in cryptocurrencies but I've been watching it very, very closely because I think that is going to be something that's going to be important it cannot be a bubble folks bubbles don't last 12 years bubbles last, they go up and they go down and it's all over and everybody forgets this thing has got legs and under that they got to a $3 trillion evaluation when Bitcoin was 67,000, now it's 28,000 and we believe that it's going to 10,000 and all that is folks during the life of Bitcoin going back 12 years it's had four 80% corrections this would be the fifth one and so that's why it's going to be really interesting to watch Bitcoin if we do get to that 10,000 level because it could offer some fabulous opportunities for folks that are looking for something a little different in their portfolio I know very little about them all I know is there's some pretty smart people that believe in them and there's some pretty smart people that think it's a cannon fodder do and what I was going to be right but right now the market is saying that the Bitcoin or blockchain scientific stuff is here to stay and that's what we'll be looking at now let's get back to see where is this money going that we have coming into the market and this course is one of the largest markets in the world is the treasury bond market and we've been bearish this for well over a year and a half when they started talking to us about how important it was for negative interest rates you know folks I never did take a bite out of that apple because the bonds were up at 171 now we got all the way down to 135 and they're still trying to tell us that it's negative interest rates not so but you can notice here on this daily chart we do have the very first significant A, B, C, D pattern forming up here in the treasury bonds up around this 144 level we're trading 142 right now with any more weakness in the stock market you know you're going to see this hit probably Monday or Tuesday and if it gets really crazy you know you could get all the way up into this area here of 146 or maybe even 150 if it gets really crazy because people use the bonds as a flight to quality which is like you know throwing gasoline to try to put out a fire but that's neither here to there it's my opinion that the Federal Reserve is between a rock and a hard place the things they've done over the past two and a half years or 10 years whatever it happens to be with quantitative easing are coming home to Roosnow and I'm going to show you some charts when we get back from the break from our good friend Stan Harley the Harley stock market letter explaining you know what has happened and why we're seeing this huge moves in some of these markets and Stan has been bullish for quite some time he turned various about a month ago and you can see that we've had a pretty good correction here but we'll share Stan's charts with you when we get back from the break so if you do have any questions<PHONE_NUMBER> I'll be happy to answer them for you if I can and then we'll 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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 Okay, we're back, folks This is Larry Pesevito setting in for Tom O'Brien Today, Tom will be back with you on Monday This next chart comes from Stan Harley of the Harley Stock Market Letters I've known Stan for just about $50 a month He's been in this business for 40 years He's a perennial award winner as far as timers of the year and what he's showing here is a long-term picture in the S&P 500 and he feels very confident that we have made a major top here into January 22nd of this year The actual high came in on January 4th with the S&P trading at $4800 We are now trading 1200 handles lower than that which is roughly 20% and so we should be due for some type of a rally from this level Now, this next chart is part of what Stan does so extremely well and that is, he looks at cycles and if you'll notice here he's recognized that we've had the big sell-off but as you can see now, we're at an area now where we should be getting ready to have a bounce This is the bounce that we're looking at that I'm looking at coming in next week sometime between the 22nd which will be Sunday night going into all next week but the key figure there is below $3700 in the S&P would tell us that we'll be going down a whole lot lower Stan's projection here this happens to be the Dow Jones and he believes sometime in the fall the Dow is going to hit $28000 well, it's trading at around $30,000 something right now $30,000, $9000, something like that $30,700 that is not very far away folks, a couple thousand points and you could be there and as I mentioned earlier the first drop that we had was 1200 points in the Dow you multiply that times 1.618 and that's where you get to that point 1.618 comes from folks goes back to 1987 I was on the show with Bill Griffith and Sue Herrera Ron and Sana at the old KWHY at FNN Financial News Network I was a regular there because I had called the top of the stock market on August 25th of 87 and I told Bill on the air that sometime during the month of October 1987 of more than 300 points and Bill said how do you come up with that figure and I said well the previous biggest drop that we had in the Dow was at 191 points so if you multiply 1.618 times 190 you're going to get right at 310 and the market of course was down 555 points that day with the base of 26,000 folks so that was a 16% drop in one day the best buying opportunity of the 1980s and boy let me tell you folks there were 1600 issues on the New York Stock Exchange that day folks only 13 of those issues were up and historically if you would have looked at those 13 issues what they did after that time frame you'd be really surprised at how bullish they really were stop and think just for a moment the stock market is down 16% on our basis today on 3500 points in the Dow and you had stocks that you wanted to buy and they were up that day with everything else being lower someone is willing to come in and buy they know something you don't know and that's exactly what happened to those 13 stocks they really went a whole lot higher so we're going to have some fireworks here I think this next coming week keep our heads above water here and I think we're going to be okay because volatility is increasing and the other thing folks is the VIX index isn't going crazy you know back in in 2009 the VIX hit 80 and in 2000 it hit I think about 75 or something so here it is it hasn't even hit 40 but one time so this is not panic stuff so nobody is panicking yet they might soon come in here but right now it just doesn't appear it looks like a normal correction that could lead to a very good buying opportunity this next one is one of my favorites because it really depicts what I've been saying for a very long time and this is about the interest rate structure folks this is the bull market in the treasury bonds it started way back in 1980 folks and it continued continued on until it was actually two years now since we topped in the bonds and now we're looking at higher interest rates coming in to the market and they're moving very very quickly Stan was really kind to show us this one on mortgage rates and I was really surprised to see what's going on with mortgage rates because I'm certainly not involved in that market at all but you can see rates have gone from roughly 1% to 5.5% in just about 6 or 7 months that is not good for the housing market folks because that means your mortgage cost is going to be quite high and people can't afford to buy them that they could at 2.5% that's a very negative in itself so remind yourself if you've got a chance if you were interested in selling your house now now is the time I'd like to give you a little bit of a history of Hong Kong folks this is a parking spot in a garage in Hong Kong just like your normal one car garage in Hong Kong sells for $50,000 that doesn't come with any utilities that's just the parking spot for the car and it's a minimum of $50,000 and if you're in an area where it's extremely extremely expensive like up on Victoria Peak or up above the jockey club there in Hong Kong for $50,000 for a parking space so this gives you an idea how out of sight prices are it's cost per square foot there folks you can't even fathom how much 1,000 square foot one bedroom apartment in a really nice building not super nice but a nice building is going to cost you well over a million dollars are you kidding me I don't understand it but I will tell you this on a family situation both of my daughters when they got married I got them started in starter houses and that's been about oh 15 or 20 years ago and each of their houses is worth over a million dollars and I said could I get my money back out of that and they said gee we don't remember that dad folks now one's in California and one's in Denver they do live in beautiful areas there's no question about that but some of these things are really crazy now let's just talk since we're talking about home prices Stan brought this chart up which is the case Schiller index and he believes that we're going to be topping in this in the next 6 to 12 months and that's in this area right here what he's watching for is to see the blue line cross under the red line where we had the little bear market just a few years ago he's watching for that to turn down and then he thinks we're going to be down for several years maybe 8 to 10 years as what he mentioned he couldn't give an exact time because timing is not his patterns or what he's looking at so he just knows if that does happen then that's going to be the signal that we're probably topping in some of these areas we've seen prices in some of these areas because of COVID it's going to go to the upside and this is what's been happening pretty much worldwide London is the same Hong Kong is the same Dubai is one of the best places to buy a house and then their prices are going up 200% so it's going to be interesting when we get back from the next break I want to talk to you about food folks because that's one of my things that I watch in my commodities and we're going to get talking about food we'll be right back folks 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 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 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 this 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 sign up for Dave's newsletter the technology insider and get an inside look at everything the technology sector has to offer try it risk-free today with our 30-day guarantee tfnn educating investors biotech is booming but for how long? whether you think the biotech bull has room to run or has run its course trade LABU or LABD directions daily S&P biotech three times bull and bear ETFs visit directioninvestments.com slash biotech today an investor should consider the investment objectives risks, charges and expenses of the direction shares carefully before investing the prospectus and summary prospectus contain this and other information about direction shares to obtain a prospectus or summary prospectus please contact direction shares at<PHONE_NUMBER> the prospectus or summary prospectus should be read carefully before investing an investment in the funds is subject to risk including the possible loss of principle the funds are designed to be utilized only by sophisticated investors such as traders and active investors distributor four-side fund services LLC call now toll free at 1-877-927-6648 internationally at<PHONE_NUMBER> I'm O'Brien okay we're back folks this is Larry Pesavento setting in for Tom O'Brien today I wanted to switch gears here a little bit we'll get back to the stock market in just a moment and I've just heard that this had a nice 350 point the rally in the Dow Jones here on the close which I'm certainly glad to see now if you'll notice hold on one second if you'll notice this is the price of wheat we made an all-time contract high here just a few days ago and you can see here we've dropped over a dollar and a half a bushel the real key here is you'll notice the market rallied up to exactly a 382 up here at 1220 a bushel and is now broken down quite below the $12 bushel level getting ready to go even lower we're starting to see some break in the inflation in the corn wheat and soybeans and certainly in cattle and hogs but that could change at any moment and things could go back the other way longer term the inflation picture is still here because interest rates are going to go higher and believe me folks what they're telling you in the news is not what really is happening this is not about demand folks it's about supply and we're going to find out whether it's a demand market or not because with these crops coming in and they're being planted right now starting to grow with soybeans, wheat and corn they better come in with bumper crops this year because if they don't and if they don't then you're going to be looking at something that is going to be pretty ominous as far as food stuffs back in 1970 1976-77 through 1980 when prices were going crazy with inflation and Jimmy Carter brought in Paul Volcker to stop it and he started it by increasing interest rates you know by quite a bit and that continued on until 1982 and then rates started to drop but what we want to remember is that once these things start and if we have any problem with our crops we export so much it's going to bring famine in other parts of the world and famine is what starts wars so we've got to be very very careful that or pray that we get the very best of crops this coming year we had great crops this year and we need another crop this year and that's important now the reason why I'm happy to see that we're having a rally here in stocks here on the close it was by the first chart one of the first ones that I showed today was the standard deviation and we went down and we took out this low by just a little bit which means there were just stops there and we've rallied 80 handles into the close here that's exactly what we wanted to see that gives the options players the option writers of course some breathing room coming in to Sunday night and Monday that doesn't mean it's out of the woods yet it just means that they don't have to do any panic selling on the close here or else on Sunday morning or Sunday night either one of those but these markets are very very volatile they're responding to the news that we've ever seen before and they go through the same fake news scenario that we see and everything else can't do anything about that folks that's something we have to live with and that's nothing more or nothing less what we have to do so let's keep in mind that that's it now there's only a little bit more time left about 10 or 15 minutes I want to talk to you one more time about Apple because this is a big part of the stock market it's the most widely held stock in the world so pay attention to this this is a pattern I'll be on the show showing this pattern also you're right down in this area here look how many weeks in a row we're down folks this is a big move down we're down I think 8 weeks in a row in an Apple look at this one here this one was down 10 weeks in a row so let's keep in mind that we have some really important spots coming up here in the Apple so let's pay attention to it as we come into it sorry folks that's not a it is a daily chart not a weekly chart but this we've been down actually for 8 weeks since this high back in here when we make the A, B, C, D look what happened when we hit the 50% level folks we had an A, B, C, D right there at the 50% level and the market went up and rallied up to 90% of its high that was a 30-buck move that's a big move in Apple more than 15% so we got some big things happening but I am very happy to hear that the market is holding up above that low at least it was 5-10 minutes ago we'll see if it's going to continue to do that and it looks like it certainly has believe it or not folks the Dow Jones E-mini today just a few minutes ago at 31,200 a 61% retracement of the whole move today and the E-mini S&P made a 61% retracement at 36,93 folks it rallied 93 handles folks in 2 hours if you think that's not volatility you better pay attention because it's coming and it's not going to get any better it's going to get better for people like pattern recognition swing trading but that's neither here that's what I love to see I wish I could even watch it this last few minutes I don't get a chance because when I'm on the air here I'm prevented from watching well personally preventing him because I don't want to affect my thinking at all but the beepers went off to tell me that we made 61% retracements in just 2 hours which was really quite exciting to see what's going on here now someone's asked a question about one of our stocks that we talk about here this is we're going to bring it up here which is it's Netflix and we'll just get this up here now if you'll remember here folks as you can see here back here in round Thanksgiving right around November you can see the big ABCD pattern that was completing right up here going way back here there's your ABCD pattern right around 700 now we went below 150 I believe this week but stop and think folks some people are still in Netflix at 5, 10 and 15 dollars so even that they're still making 10 times their money but look how much they gave back from 700 that's not a fun feeling but look how the 382 retracement showed you that the market was heading down 382 382 382 so it's a big indicator as watch how that is happening and we saw that both during the month of May here in the S&P 500 I'm going to bring it up here to show you that this was the same thing that was happening in the S&P that happened with Netflix the thing was that it wasn't as volatile as the Netflix was it didn't drop 80% but it was still dropping making 382 retracements all along the way and that's what we're paying very very close attention to so let's remind ourselves now we got a little break up here I'm going to check out what the market's doing right now we're still hanging in there with a really good rally here we got the I think we have the the S&P I believe is up on the day again and I believe the Nasdaq is the Dow is down just slightly and what else not much else is going on from what I can gather just by taking a quick snapshot of the S&P and the Dow E-mini gold on the other hand and let's see where we're doing in the gold market it is actually holding up at 1842 so that's still pretty close to the high that we made here at 1846 it looks okay and those are some of the ones that we're paying very very close attention to today we're also short the Euro that's been acting incredibly well the last couple of days we went up and made a big 382 retracement in the Euro just like we did the Dow Jones and the S&P and then we started to go lower I'll show the Euro chart next that'll be the next one that we show folks 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 in technical market analysis 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 830am to 4pm eastern 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they don't like to do that near the lows so that's what option selling is all about learn to be an option seller not to be an option buyer if you're a seller of options you're 85% assured of winning and if you're a buyer of options you're 15% sure of winning so let's remind ourselves of that doesn't change the cyclical in nature of what's going on here with our lows that we're focusing for for the 23rd, 24th, 25th we think we're gonna have a big move down may or may not happen maybe today was the low we did make a slightly lower low in the Dow slightly lower low in the S&P NASDAQ held up relatively well so these are things that we'll be watching Sunday night when we prepare our trading you know for the next day let's remind ourselves folks it's not how much money you make it's how much money you don't lose losers think how much money I can win but winners think how much money I can lose because what they can do is to protect themselves by managing their risk and that's what speculation is about folks it's not about how many trades you're making a row and when it's how many trades you don't lose like Warren Buffett has two rules one, don't take losing trades rule number two don't break rule number one well you're gonna have to take some risk of course but try to manage it you know the best that you can and you'll be far better off than what we're looking at so we did make have a wonderful weekend folks and may god bless


Hi, and how are you all today? My name is Priyanka and the question says, in figure 9.25, diners AC and BD of quadrilateral intersect at O such that OB is equal to OT. If AB is equal to AC, show that area of DOC is equal to AOB, area of DCB is equal to area of ACB and thirdly DA is parallel to CB or ABCD is a parallelogram. Now this is the figure that we need to refer. Here we are given that this is point O where the diners are intersecting each other and diners are AC and BD and they are intersecting each other such that OB is equal to OT. Also AB is equal to CD. Now we need to prove that area of DOC is equal to area of AOB then area of DCB this whole triangle is equal to ACB and then DA is parallel to CB or this whole is a parallelogram. Now I think you must have got some of the idea while I was explaining the question itself. First of all we will write whatever is given to us. We are given that AB CD is a quadrilateral whereas OB is equal to OT and AB is equal to CD. We need to prove three things. First, area of DOC is equal to area of AOC, AOB. Second, area of DCB is equal to area of ACB and thirdly DA is parallel to CB or ABCD is a parallelogram. Then I start with our proof of the first part that is area of DOC is equal to area of AOB. We know that the area of two triangles are equal when they are congruent. So let us prove these two triangles as congruent triangle and then we can easily prove that they are equal in area also. So in triangle DOC and AOB we know that OB here OD is equal to OB that is given to us in the question. Angle DOC is equal to angle AOB. They are forming vertically opposite angles. E is equal to DC so we can write DC is equal to AB. This is also given to us in the question. So therefore triangle DOC is congruent to triangle AOB by SAS congruency rule. We can say that therefore area of DOC is equal to area of AOB giving the simple reason that congruent triangles in area. So this completes the first part of this question. Let us proceed on to the second part. Here we need to prove that area of DCB is equal to area of ACB. Now we know that area of DOC is equal to area of AOB. This is proved in first part OCB as you see that this is the common region of these two triangles. So if we add the area of OCB to DOC we will have this whole big triangle. So on adding area of OCB on both sides we have area of DOC plus area of OCB equal to area of AOB plus area of OCB. So area of OCB has been added to these two areas. So area of DOC plus area of OCB becomes area of DCB. So that's area of B. So this completes the second part of our proof. Let us proceed on with our third part to CB or is a parallelogram. From first part equal to area of ACB. This is what we have proved in the second part of this question. These two triangles are on the same base and their areas are equal that means they are between the same parallel lines. So we can say that therefore if on the same base then they are between the same parallel lines. So that means they are parallel to each other. Now also EA will be equal to DB by CPCT because these two triangles were equal to each other. Otherwise we can say that since TA is parallel to CB is equal to CD. So that means they will also be equal to each other and AB will be parallel to CB. Therefore by all these criteria we can say that therefore ABCD is a parallelogram. Right? So this completes the question that was given to us. Hope you enjoyed proving all the three parts and take care.


Hi. Welcome to Branding the Precursor for Design, Copy and Development. My name is Karen Demick, and I'm the founder of Iconosense. How many of you here have thought about a brand for your business? About 50%. How many of you have thought about a brand for your business? Branding is the expression of the essence of a business. It's about expressing that essence in a way that lets people become part of your world. Your products and services need to let your customers actually experience that world when they use them. For instance, when you play with Lego, you feel creative. When you put on your Nike gear, you feel like an athlete or a competitor. When you're reading a Dan Brown novel like The Da Vinci Code, you feel like you're on a quest for the truth. You feel like a rebel when you're riding a Harley. And you feel like you're part of a community when you get into WordPress. That is what I mean by the essence of a business. It's that one thing that is at the heart of every business. That is what branding is about. Branding is a strategy. You use it to express your uniqueness, your point of view, and what you stand for. Branding is not a colour scheme in a logo, consistently placing your logo everywhere that it should go. And it's also not just a consistent look and feel to all the blog posts that you have. Instead, your graphic design needs to support and express your brand. But if you have no brand behind it, nothing your customer can associate with your logo, then it's about as useful as putting a bandaid on a broken leg. So why brand? Well, it helps you attract and keep your ideal clients.  It helps them know what to expect from you. It helps them recognise your work when they see it elsewhere like they're not expecting to, like a guest blog post or an interview on a podcast. And it helps them tell others about you and refer business to you because they know what you stand for and they know what your business is about so they know how to tell others about you. Your brand also helps you stand out in your market and show your uniqueness. It makes design, product development, marketing, hiring and just about everything else about business easier because once you know what fits inside the box that is defined by your brand, you know what doesn't fit inside. So if an opportunity comes along, you can see very quickly whether it fits with your brand and therefore you want to take advantage of it or whether it doesn't fit with your brand and you can let it go. A brand keeps everything consistent so there's no nasty surprises for your clients at the end of the day. You don't need to start from scratch. In fact, it's better if you don't. Instead, you want to use the power of a brand personality to underpin your brand. We've been telling stories for hundreds of years. The ones that stand the test of time are the stories that have characters with a single overriding personality trait. For example, the fairy godmother is the magician. Prince Charming is the hero or warrior. Robin Hood is the rebel. Sherlock Holmes the detective or seeker. Yoda is the sage. We call these traits brand personalities because they exist in everyone's subconscious in our books and movies in every part of our culture. There are 14 different brand personalities. They provide a guiding box that you can define your unique brand within. They help your brand stay on track and they allow your customers to appeal to your customers at the subconscious level because they've been hearing about these traits since they were children in all their stories. The 14 brand personalities are the magician, the regular guy girl, the sage, the rebel, the ruler, the innocent, the seeker, the lover, the caregiver, the warrior, the jester, preserver, creator and explorer. I will give you the download link for the slides at the end. Or, highly successful brands have a single brand personality behind them, whether it's a business brand or a personal brand. For example, Nike or a warrior brand, Apple, an innocent brand, Lego, creator, Virgin, jester brand, Harley Davidson, a rebel brand, Whole Foods, an innocent brand. And on the personal side, Dan Brown, who wrote the Da Vinci Code, Seeker brand, Malcolm Gladwell, a sage brand, Dan Araleigh, another sage brand, Gary Vaynerchuk, a warrior brand, Seth Godin, a creator brand, Jay Leno, a jester brand. As you can see, we've got multiple different brands here, all with the same brand personality, yet you'd never mistake one for the other because they've used this brand personality as a guiding box that they then defined their unique brand within. So what we're going to do is have a really in-depth look, a single brand that follows the regular guy girl brand personality. Now this brand is something that every single person in this room knows. WordPress. So what we're going to do is look at the characteristics for a regular guy girl brand, and then we're going to look at what it isn't, so you know where the boundaries for a regular guy girl brand lie. Regular guy girl brands, it's all about community, connection, inclusiveness. It's about fitting in with everyone and being comfortable. It's the guy or girl next door, one big, friendly, welcoming family. They're accessible, approachable, humble, and this comes across in a really big way when you talk to some of the highly successful entrepreneurs in the WordPress space. Regular guy girls are normal, commonplace and mainstream. They're personal, everyday joes who are genuinely down to earth. They're often uniform and they conform to a standard. It's similar to things you know which makes it very easy to use. It's shareable and excels with strength and collaboration. Think open source. There's an attitude of helping the little guy. If I can do it, you can do it because the underlying premises, we're all the same. Did you recognize WordPress and those characteristics? Let's have a look at Miami's code of conduct, which I'm sure you've all read. Our community should be truly open to everyone. Friendly, safe, welcoming environment for all. Being a good WordPress citizen and here's how you do it. Increase open source citizenship. Ensure our community is welcoming, friendly, and encourages all participants to contribute. Be considerate, respectful, collaborative. Can you see those regular guy girl characteristics coming across in those statements? Another regular guy girl brand you may or may not have heard of, Smart Passive Income from Pat Flynn. It's very community driven.  He has pictures of his family all over his website and he says they're the reason he does what he does.  His content's very easy to understand, whatever level you're at. It's very accessible and it comes in just about every format you can possibly imagine. In his main podcast he tries to convey that he's a normal, everyday down to earth kind of guy. He has a unique comment about him in every intro so you feel like you get to know him just a little better with every episode. When he goes to a conference he goes out and he meets people and talks to them instead of locking himself away with the other speakers. Another regular guy you might have heard of, Gap Clothing. They opened in 1969 to be the store for jeans-loving Americans. Their stated mission is to be the world's favourite for American style, i.e. the look of the community. They're the norm for jeans and a t-shirt and their ads like this one tend to feature groups of people all dressed either the same or in a very similar way. Even popular culture sees Gap Clothing as a regular guy-girl brand. In an episode of Third Rock from the Sun, when they're all trying to fit in with us humans, they all go to Gap by white sneakers, blue jeans, white t-shirts and sweaters just so they can look normal. So what isn't regular guy-girl so you know where the boundaries lie? It isn't exclusive, it isn't intellectually challenging and you're thinking end-user here. It isn't complicated, inaccessible, secretive, expensive, competitive. What would happen if wordpress went against or wordcamps went against their regular guy-girl brand? Well I was at a word camp recently and somebody suggested promotion techniques for some of the sponsors. What they suggested was that a sponsor could reserve the first three or four rows of every session just for their clients. How would that make you feel? To me it would be unwordpress-like and I'd probably make a point of actually avoiding that sponsor. So what does it mean for a regular guy-girl, if you have a regular guy-girl brand, what does it mean when it comes to design? Well you want to go for a boxed theme because that shows inclusiveness and the idea of sticking within the boundaries. A dark website background shows that anyone not within your website is left in the dark rather than being within the community and as you can see Pat Flynn does this really well. You want to use blocky features for the site, nothing delicate, intricate or complex, keep it normal. Solid colours rather than patterns or anything fussy. You want welcoming, friendly smiles so anytime you have pictures keep them with smiles on, keep the body language open, welcoming and inclusive. You want colours that are friendly and welcoming so red screens, blues, yellows, anything you see in your everyday locality and again remember this will differ from country to country so bear that in mind with your clients. You want lots of personal pictures and you want to have majority of pictures with more than one person in them to show that group and community aspects to it. You want to keep things normal, normal and approachable and none of the bells and whistles and nothing too fancy. So what about logos? Well the whole point of regular guy girl is to show that inclusive feel so give the logo a defined boundary. As you can see wordpress has a circle around it, gap has a box around it, smart passive income is on a licence tax so it essentially has a box around it and because he's normal like you and me and oops he forgot that bit he pinned them on later. So what about development? We'll have a welcome page instead of a start here page, show that welcoming. Keep the navigation simple, the site structure and the site functionality simple make it easy to use, easy to follow more so than most other brand personalities. You want to avoid the latest bells and whistles, it's not about being the latest thing, it's about being normal. You want to include comments so that people can chat and you want to include social links for the same reason. Preferably have both because regular guy girl brand is about that community so make it accessible. You also want to keep everything handicap accessible because you don't want to exclude anyone because that again goes against the brand. So look up the A11y standards, there was a really good talk on this at wordpress tamper if you want to look it up on wordpress.tv. So how about products and services? Well again you want to have that connection so have your products and services connect people. So have a forum for your plug-in business instead of just a ticketing system. Facilitate sharing so make sure you have a free version of your plug-in they can share on the repo.  What about sales and marketing? Well you motivate customers to buy a regular guy girl brand by stressing their need to fit in. Tell them about the new friends they'll make. Show them how your product or service will help them look after their family. You want to show a huge amount of social proof and this is the brand personality where that's the most important because people want to fit in and be like others so they need to know what other people are doing. So you have to show that social proof. You want to highlight the community building aspects like a forum. Gamification is a great way to retain customers with a regular guy girl brand. The way to implement that is to do karma points. So if they help someone in your forum or they refer you business, give them karma points. So what do you need to avoid with a regular guy girl brand? You need to avoid exclusive offers and yes I mean the word exclusive. You want to avoid elite groups, premium offerings, secret underground events, complicated sales processes with lots of options, keep it simple. Gamification with competition like leaderboards. So what happens when you break a brand? You're essentially saying to your customer that no, we don't stand for what you thought we stood for. You're wrong and that breaks the trust and we all know trust comes before a sale. In 2010 Gap broke their regular guy girl brand with a redesigned logo. The response was unanimously negative, plastered all the way across the net. And people just told them what they thought of it in no uncertain terms. It got so bad that people were submitting their own logo redesigns. Parody sites were coming up with joke designs and after six days Gap caved and brought the old logo back. While this event clearly took people by surprise especially with just how intense the debate was, if you look at it from a regular guy girl branding point of view you can easily see exactly what went wrong. The logo as you can see here went from having a box around the gap to Gap being outside of the box which shows that fitting in wasn't important to them anymore. The box went from a solid colour to a diagonal gradient making it more complicated. And the box went from being nice and big to very small that shows that being included isn't important and is significantly less important to Gap. Interestingly enough six years down the line their new logo now looks like this. First having a basic understanding of what drives a regular guy girl brand could have prevented this. Now obviously with the business of size of yours, mine and even probably our clients the outcry isn't going to be anywhere near as bad but the result of the business is still the same. It's still that loss of trust which will result in loss of sales. As with any personality, shadow aspects appear in a dark side. For the regular guy girl and you need to watch out for these, the dark side for a regular guy girl centres around abuse. Now the dark side is the one thing that will cause bad publicity for a brand and it will ultimately also be the downfall of a brand's culture. So with the regular guy girl you get victims who are willing to be abused just to stay in the community instead of being excluded. You get the lynch mobs and the bullies who are outing and abusing people who don't like toe the company line or fit in with the community to find values and then you get prostitutes who are turning a blind eye to the abuse or joining the lynch mob. So how does this relate to the WordPress community? Well I'm going to put this out here to you. Do you see it in an ad community? And if so, what can we do to stop it? Some food for thought. Like with every point of view there are pros and cons. It's what makes for lively discussion. It's what creates fanatics and diehards like us here spending our weekend at a word camp. As freelancers every single person in this room makes money from a business either their own or their agencies. So why are we so against paid themes and plugins as a community? Well let's look at it from a regular guy girl point of view. What do we call those paid themes and plugins? Premium. Maybe if we hadn't called it that and we called it something else we would have avoided at least some of the turmoil around paid themes and plugins. So in summary as you've seen branding isn't about a logo and graphic design it's about expressing that essence of the business. All the best brands have a single brand personality behind them and it is a critical component to the success of a brand because it helps with the customer experience, the business decisions, the marketing and sales tactics and it gives you a guide for design and development. So how many of you are now wondering if you should perhaps have a brand for your business? Any questions? Oh and I was going to give you the slides. I'm afraid I don't have it on here. The slides are at Iconocents.com and then forward slash WCMIA hyphen 2016 hyphen slides. Start again. The website name Iconocents.com is up there and then slash WCMIA word camp Miami and hyphen 2016 hyphen slides. Okay so when it comes to a business do you want to figure out the brand personality before you name the business? I would say yes that's one of the first things I think of because you especially freelance business it's got to reflect off you so there's some brand personalities you may not be able to pull off because it's not part of your personality and there's some that fit you better. So you need to examine that and then you need to examine what are your clients looking for? Do they want knowledge? Do they want a community? Do they want to feel like they're achieving something? All that sort of stuff. Pull all of that information in. Come up with a brand personality and then start working out names that fit with that brand personality because you want everything to tie in. Everything has to tie in with that branding to keep that message consistent. So how do you find more resources on the other different personality types? Well I have a quiz on my website that goes into a little bit about each of the different brand personalities so you could have a look there. Anyone else? Well Apple is an innocent and when you think about an innocent brand it's fresh, vibrant, you think child and then Apple is pretty much a perfect representation of that.


let me start with the story okay there's a man coming home from us and he's tired and it's a rainy lady in there and he walks into his neighborhood supermarket store he goes there and he looks for aisle five and he's looking for that one unique breakfast cereal box that is five years old is agreed to eat for breakfast tomorrow he walks down to the shelf looks for the box and doesn't find it there that is his moment of truth and the challenge facing the retailer is how do I ensure that I get the right product in the right channel in front of the right consumer at that right moment right so my name is Amit Kapoor I've been working as a consultant for a company and I've been working in retail and consumer clients for the last 10 years trying to solve some of these problems what I'm going to try and talk is what are the opportunities for retailers to try and address these consumer performance using data okay let me start with a confession I am not a big data guy I know a lot of you are techies a lot of you are statisticians I'm actually a business guy right and a lot of problems that I have solved would be actually solvable using XR to a large extent the fantastic tool that we have and the approach that you would see that I would adopt to solve is what I would call strategic problems right problems that are into some extent wicked in nature there are problems which have fuzzy context there is undefined data or very little data there is fuzzy data there is undefined data there's a lot of correlations there's a lot of causality that's built in how do you actually take those out and build it build it into a solution and the approach that what I would have taken in a number of these cases and what you would find on my limb piece of real estate on the web is how do you structure that problem and I'm not talking about structuring the data how do you structure that problem to understand what are the hypotheses that you're trying trying to solve right how do you synthesize the data to try and address some of those uh some of those hypotheses and then how do you solve it and I when I solve it in a very abductive way in a very hypothesis driven way in which both the problem and the solution and I will merge this and change this and then how do you actually tell it into a story so that then you can go and communicate it to your stakeholders to your business and convince that this is the case for sure and the argument that you need to do in all these cases is how do I solve that problem to make that change happen right that that is the key thing you need to keep in mind whether we use big data small data that's the ultimate goal that we're trying to accomplish let's start with a little bit of context um I should have talked a little bit about it for me retail is a very personal right we talk about the moment of truth it's the only industry where every retailer has the first moment of truth when you actually go and use the that's the product when you can actually pick the product most of the industries it's the second moment when you actually start using the product with what you're kind of getting through any retail is the only one where that first moment of truth comes through and where whether you are walking into a dirty IOC of Petropa or into a public sector firm or into a supermarket they're all retail experiences that you have right and they're all moment of truth for that customer retail is also inherently local right if you want to go and shop for grocery down here in Bangladesh you can go to a spa you can go to a big bazaar you can go to a star bazaar you can go down where you finally get in football but that's pretty much your universe right and that's also the universe for the retail because that's what is what is the likelihood of catchment of people that are going to come here I think you saw yesterday somebody talked about pink code based analysis for doing big catchment analysis that's reality for retail because that's their dataset that they're going to look at the third thing is retail is evolving she talked about 470 billion dollar of detail out of which roughly five percent is organized and even though this we've been talking a lot about internet retailing internet retailing in India is five percent of that five percent right so bulk of the retail is actually happening when you go to a kirana store which is the unorganized as you would call it even though I think they're quite honest or the big supermarkets which you go and buy the food or not the products the second thing that is tremendous potential for retail right because retail in India it's five percent if you go to another market like UK and you look at grocery you'll find 65 percent is with four big leaders as those in supreme asda and versus and if you take the top 10 you have 85 percent so the beast that for the potential for growth is amazing and not only that it's a new marketing market you can see retailers right now experimenting with formats with customer service with a lot of different things which they have trying to figure out how they need to do our work and it's the same to outside where you look at people experimenting with big baskets or big box retailing now move to what you would call showrooming as the apple would call it or maliki channel experiences and all that so there's a lot of things that are evolving here how does a retailer look at is if you look at a profitability lesson say how does a retailer look at a customer or the revenue the top left right you'd go and look at it's a simple guess you a lot of there is a food for that people are walking to the store and you want to convert them you know because you want to convert them into a customer right so there's a conversion and then you want them to literally hold a basket want them to hold a basket put stuff into it and hopefully they put enough number of items at a high average value so that they walk out with a big basket that benefits right that's the old mechanism that you're trying to optimize whether it's an online to something or definitely another topic and on the past side if you look at it the bulk of the cost is budget that's because that's what a retail is trying to reduce that is the 60 to 70 percent of the cost in a retail because he's a trader he's buying the product and selling it to a large extent the next big item store space and store productivity is one of the key methods that a retailer would look at cross margin per square feet or if you were to call the equivalent of velocity like we talk about velocity in data the equivalent of velocity in a retail is how how fast is my product flying off the shelf and am I making money out of that those are the two big factors just two metrics to just give a sense of how hard a business is if you look at gross margins for a retailer the average for the top 250 retailers would be only 3.8 percent right so that's how thin the margins that a retailer works in none of them are in India none of them in India because of the top 250 your gross is actually even lower 2.8 if you're actually hard lines which is kind of DIY punishes and all you'll be 5.5 your fashion yes you make more money 7.8 yeah so this is net margin so gross margins no gross margins would be 30 25 to 30 but net margins after you've taken out the fast for a store space employees and central to be actually the other if you just look at few ratios which is just the market cap by asset that the retailer has the average for the industry is 0.8 right so you could actually take the buyer retailer right sell up all its asset and still make money right if you look at for a fashion retailer yes it could be a little high 1.6 if you look at people who are very well the amazon is the world the apple to the world the indian tax the estimate of the world you get to more like 4 and 5 so they are really value value on top of their assets but for the rest of them it's pretty much point 8 so not only is it a low margin business it's a very asset intensive business so when we talk about big data or any data the ability for our data or any analytics to do under the radar to pump up our margins is very high it's very high as well the ability of this data to price comparison websites and retailers to actually pump it down is also very because it works both ways so what are the three what are these three two or three things that your retailer can do to actually use data in a more effective way right and then there are lots of jargon we can put it at the end there are three basic packets that you can do that right you can either make the supply side more effective right so these inventory that you hold in the cost that you have of your products how are you making more effort you can either optimize the demand right or you can make the customer part more effective where you come in with this loyalty part that you can talk about the merchandising the loyalty part the resell part and all that he's covered by very much right so we'll talk about the first two right how should we do that right so let's and we kind of think of this big data as something dramatically new where it's come up it's actually not really new data has been there for a long time right if you look at let's start with the story right it's the second story you want to tell me three stories this is the second story right 1948 there is a local food store in Philadelphia which comes across with brexit these students is i want a way to actually classify my products so that i can check them all fast so two young graduate students well pretty much like that you know young developers there worked on that problem and patented with the us pto patented number 992 you can actually search it on google to get this image this is the patent that the file is the art of classifying items to identify patents sounds very detailed right art of classifying items through the use of patents right and this is technically what we would call the first parkour well it's not really parkour so it's a concentric circle those are which is how you would say and it took the industry another 20 years before they standardized on this which is the new pc the universal product for which is used now everywhere to scan products and make them check out right it's using details i can use in many other industries right and if you look at the concerns that have exploded in 70s the first thing that came out was a 10-pack between 467 cents was the first item ever scan and it never picked up it never picked up for five years people wrote obituaries of the scanner data people wrote business we've had a cover saying the scanner supermarket experiment is dead right and never picked up and there were concerns on data integrity and privacy customers were not willing to buy this a concept because they thought if we can't see the price but we see a scan for what we're throwing in the retailer to change the price so there were senators trying to repeal this and say we don't want parkour here right some pretty similar to what a lot of the concerns we now hear about here right and it took the industry another five years before this very picked up and it really picked up once the one much of the world and it came out to the world started to use this to make the products more efficient and then came to the point of sense right so that is the genesis of point of sale the point of sale data that picked up at that time is really that drove the scanner data which was first to the retailers and then with the consumer companies coming through the retail links that Walmart's the world established which then kind of flooded into the industry and then was started to use to become more efficient right so that's the genesis of where we are on this efficient and what is the next step where the big data can take us what does this efficient consumer response that has been talked about they've been RFID been talked about for a long time which has been already taken but the future of this far of big data is really coming into how can we take this similar data which is skew buys inventory level and convert it into a demand sensing platform where we can actually sense the demand in a very short time we can then in hope that we can actually service that you know and not only do it at a company level but the problem is to solve it across what I would call a multi enterprise level so not only the retailer solves it but the retailer works with its consumer company and solves it and if they do it you can actually optimize the inventory across the entire chain and make it much more effective and then that's why you have this concept of demand and supply chains which is really an art when the retailer picks up a part of sales stock from this tell can that trigger the demand so that people can actually supply the supply and then supply the product and I have my moment of truth where I'm not facing a stock there are companies that are doing this well the uh fairer technologies that actually does a very good demand sensing tool which is adopted by a bulk of different consumer companies and they really use partner identification and a lot of algorithms to kind of manage the demand sensing partner integrity but the challenge here is actually integrating not at a company level but actually doing it across your chain because until you do that you don't see the next level of benefits that you would anticipate you would want what's the second problem that that the retail uh that the retailers face right and uh this is another fun story which talks about uh there are these two little fishes that are walking and swimming in the swimming walking the system walk they're swimming in the sea and an order of fish passes by and I'll ask them well how's the water the two fishes swim along and then one of them turns to the other and says what the hell is going on right so there is this other data which is all around us which is very observable which is can be actually gathered by observation and this is really how consumers how consumers really interact with the store environment so I think the google keynote actually talked a lot about the red riding hood story which talked about how all that data is a process and there are people who have done this there's uh people who looked at how people interact in these old small spaces the size or the art of shopping and how people actually move in this back to our business in 1977 and he actually looked at really people observing people right now how they're interacting in the retail environment his background was for and for college and he looking at that data which was tons of data which started to really even walk through noting now every aspect of how consumers walks in such as the retail environment interacts with the environment looks at the data doesn't pick it up does pick it up tons of this data which we would now call potentially like the access to the data and actually started to analyze and the in-store environment which was really what picked up built this science of shop and you had all these null insights like coming through which now are being validated again by the data uh how does customer react when you walk into this store and there is this any reason for like really doesn't actually interact with the environment in the store there is the fact that we need shopping class to actually make a specter right this wasn't discovered for a long time the fact that we actually walked on the right when we look at a grocery store we don't really look at we don't really look at we don't look at the stuff that's on the left side we're not actually walking through the right and how intersection actually increases your ability to buy a car when somebody walks into a retail store and a person comes in and says can I help you it's actually because they figured out that actually increases the propensity of purchase and there were many such insights that they picked up in terms of what men don't like what pricing what women like what pricing of senior shoppers and all this was done in a way which weren't really required it here at that time it was done through manual observations later through video cameras being transcribed and the future of this now is the use of big data is how do we get these in store insights how do we get these shopper insights using analyzing the video data analyzing the mobile data that is there in the as you walk across and their companies are doing this retail night's customers that looks at all the video data comes in and triangulates with the mobile data that you have and places it in their companies that give you a reward to actually walk around the stores place customers to actually see that whether you can we can gather the food for data that will actually help us generate the heat bath that are required to actually see whether it's part of the stores or the customers walking in which part of it right and this links into normally the installed customer aspect of it but also how employees yeah so what should be the design of the store how should merchandising be kept and how what are the then the options of operation improvement that can happen which can take over on this process so those are two examples around how what we've been doing in detail for a long time can be taken to the next level by layering in this layer of detail right there are others I think which we which I won't dive into but the next best offer which is I think she's a talk about how do you get the next best offer to the customer the moment he walks in or when he makes a purchase I know about that how about multi-channel big question for a lot of retailers you won't see any Indian retailer right now offering two channels most of them either online or are they offline how do you actually integrate these two make that happen and then not only this pretty much so how can you change pricing promotion and optimization to actually and a challenge for retailers at report to actually do that one is privacy so there are huge concern and privacy the moment I start observing your offline data activities you are most customers are okay or they don't realize that they've been tracked online but the moment I have a video camera and I start tracking you and I kind of start using that as a case big issue target did this recently when they talked about how customers behavior change because at key moments in their life if you can predict those key moments of life you can actually get better one of the moment was when first when a woman gets pregnant so when we are about being out of the family then that's a moment and that raised huge privacy concerns how if you predict that moment we may not be comfortable being low being comfortable being told that somebody's actually so there's huge privacy concerns in this aspect the second is legacy it and and the mindset around it I welcome number of retailers where we've asked for we have these store data can we optimize the store range to more than each store so personalizing at a store level not even at a consumer level and a lot of the challenges that process that we've built our IT system it's already hard-coded into nine categories of stores we can't really move online so this whole investors require to layer in this legacy or either we remove the legacy or layer something off is a hard question for retailers especially when we link it back to the partner they don't have high margins to support all this kind of investment and the third is obviously talent um everybody's excited about working on the cutting edge uh complex for the week for uh for a lot of internet startups you'll find very few people interested in going to a retailer and say I'm gonna help you to all the next time I mean I think in the Carolina statement that they're not really caught on to the data I think there are a lot of them have have good loyalty programs if you look at where the big money that they wanted uh where there's a big money you may or big potential improvement it's actually more on the customer side stuff that she had talked about and I think they are they're starting to do something they have loyalty programs they're starting to find it and start a division but if you think about challenges about in-store design I never had a good experience shopping into one of the uh reliance list of the big bizarre and uh or any of this intelligent environment and if you look at demand supply chain I think just the supply chain is not that elaborate enough for them to start talking about this okay thank you


I am Dr. Gannapa A. Waliker, works in the Department of Computer Science and Engineering, Vulture Institute of Technology, Shalapur. So, today I am going to give a deliver on Future Scope of IOT in India. As part of learning outcome, at the end of this session, students will be able to familiarize with Future Scope of IOT in India. So, before discussing a Future Scope of IOT in India, let us will have some introduction part of IOT. So, key global developments in IOT space. Due to awareness and desire to be connected and have smart and intelligent systems in India, industries are expected to grow at an exponential space in a decade. As per joint report by Internet and Mobile Association of India, the industrial IOT is expected to surpass the consumer IOT space in India by 2020. INA predicts that $1,200 billion IOT approach is in India by 2020. The market potential of the IOT in India alone is expected to reach a $9 USD billion by 2020. IOT unit in India can also see rapid growth of 31 ties to reach $1.9 billion by 2020. IOT experts predicted that IOT market could be of worth $1.7 trillion by 2020 with more than 50 billion devices connected to IOT. IOT enables the rapid product application development and operations as well as the collection, analysis and sharing of the potentially large amounts of data. Building and supporting the technology stack required, substantial investment and range of new skills including software development, system engineering, data analytics and online security expertise. Increased innovation and affordability of sensors, increasing adoption of smartphones, affordable bandwidth, key processing, ubiquitous wireless coverage, big data analytics and cloud computing are some of the key dynamics that are driving the readiness for the IOT. So now let's discuss about opportunities of IOT for sustainability. By 2050, nearly two-thirds of the world's population will lie in cities and face the problems like rising temperature, water shortages and energy systems. As per even 2012 A and 2012 B survey, the greenhouse gas emissions is 70% a waste of drinking water is 250 to 500 million cubic meter. The world primary energy usage is 75%. The IOT plays a key role in enabling resilient and equitable management of urban environments for sustainability in transportation, energy and water sectors. Let's discuss about the future of IOT. IOT will be seen in measuring the safety parameters, in measuring the vibration of structures, detecting the occasional stream processing, determining the processors and the architecture and device management etc. So now we will discuss about IOT integrated view. Today's organization operates with the data and business logic flowing in within the enterprise, in the cloud and at a customer touch points, using devices at the edge of the network. So these devices often have the organizational boundaries with the new technologies such as the Internet of Things. Integrating IOT devices with a traditionally owned and cloud-based enterprise data is becoming increasingly important for organizations to make sound business decisions. Aldrin provides IOT perform integration services to connect enterprise data across various nodes to create holistic, contextual view of potential and user data. So this is IOT integrated view. So this indicates the mapping of the device integration aspects to an oral systems and service value chain. So this integration is represented in the form of pyramids. So in the base, it represents the cloud-based apps, services, virtualized and optimized hostings. And second to first one is big data, master data management. The last one is service-oriented architecture and other apps. The last one is a sensor and activator devices. And all these data are managed by a recent technologies and devices. The cloud is belong to the infrastructure consolidation. Big data is belong to the data management and SOA belong to the apps and service standardization. And sensors and activator devices are belong to the smart devices. And each services presented in term of pyramids are controlled by different technologies like devices are controlled by the device data integration protocols. Open, enable and responsive architecture, artificial intelligence, cloud with machine intelligence and private cloud and public etc. The future IOT market map in India. In future we will see IOT will spread across different business sectors including wearable, connecting homes, IOT infrastructure and services, healthcare, integrated car fleet, retail etc. So suppose in future if the 50 billion machines are going to connect to an internet then it become industrial internet. If we see IOT as an IOT that is industrial internet of things then the every smart things become a brilliant things.  Smart hospital become brilliant hospital. Smart power system become brilliant power system. A smart factory become brilliant factory. In case of brilliant real head IOT will be used in real time networking planning and also used in segment visibility. And in case of brilliant hospital IOT will be used in hospital optimization, intelligent medical devices and connecting the machines. In brilliant power IOT will be used in smart grids and power grids etc. And in case of brilliant factory IOT will be used for the logistic optimizations. If IOT become IOT then IOT is virtualized, analytics becomes predictive, employees increases productivity, machines are self-healing and automated and monitoring and maintenance is mobilized. And also we will see the growth of IOT units in India very rapidly. As per the survey in 2016 3963 IOT units are installed for the consumer applications and in 2017 5244 IOT units were installed. In 2018 736 IOT units are installed and in 2020 12863 units are going to be installed. And similarly with business cross industry and there were 1102 IOT units are installed and 1,501 were installed in the year of 2017 and 2,132 were installed in the year of 2018 and there will be 4,381 IOT units in 2020. By looking at this figure that indicate that there is a need of IOT in all the aspects including from the consumers, cross industry, vertical business etc. So now future use of IOT. Future will see only IOT everywhere. It will like without any AI use the lies would be incomplete. We will see IOT in smart cities and also when IOT become a primary things the AI will become big. So now we will see what is a rein of smart cities. The smart cities is a facet of the internet of things, a ubiquitous interconnected network of computing devices, software, smart sensors and big data analytics. The Indian governments initiates a new smart cities will create a dynamic opportunities for both emerging and established technology companies. Artificial intelligence plays a growing role in IOT applications and deployments. The major vendor of IOT platform software now offer integrated AI capabilities such as machine learning based analytics and all. So think and write answer to the question. The question is what are the possible career opportunities in IOT? And these are the career opportunities in IOT. We will see plenty of opportunities in data analytics, network and structure, protection, device and hardware, shell and UI development. Let's we will discuss these points in brief what is data analytics, network and structure, protection, device and hardware, shell and UI development. Data analytics is the application of data analysis tools and procedures to realize value from the huge volumes of the data generated by connected IOT devices. There are distinctive varieties of sensors and transmitters that talks differently within the gadget at that deals about network and structure. And wherever IOT is used and you have to protect the data and some of the key abilities on this region are risk, identity, vulnerability, evaluation, public encryption, security and wireless community. A massive number of sensors and transmitters wireless, Bluetooth and other connectivity solutions are contributing to the device and hardware. Smartphones and cellular devices are best candidate for the platform we would desire to govern IOT devices where the plenty of job will be created for the job seekers. So by this picture depicts that there is possibility of jobs for the job seekers. When internet of things spread across all the sectors and there will be chance of getting the jobs that include from share marketing, healthcare system, retail, real estate business, telecommunications, radio technologies, transportation, automobiles, etc. And these are the references I referred some of the books and also I referred internet contents. Thank you.


who is leading the debate on social media, who is that one person that everybody mentions and that keeps coming up on our feed. Today we will learn how to construct a network of mentions and find the most popular account in the bunch. We will use the Twitter widget to retrieve 500 tweets in English with the hashtag machine learning. This will output a subset of the debate on machine learning with all the hashtags, ad mentions, text and so on. A quick look in a corpus viewer gives us an idea of what the corpus is about. Great! Now we are ready for some pre-processing. Our aim is to retrieve only ad mentions. First, I will remove everything I don't need lowercase transform and filtering for example. Secondly, I will select the tweet tokenizer since we are dealing with tweets. This will keep the ad mentions as they are. Finally, I will add a regular expression in the filtering section which will keep only words that start with ad. The expression can be copy pasted from the description below. Now our data is ready for the final part. I will use corpus to network widget to compute the network of mentions. The widget outputs two things. One is a network of documents where an edge is created between two documents if they share at least the number of words specified in the threshold parameter. The other is a network of words where an edge is created if the two words appear in at least the amount of documents specified in that same parameter. The latter is what we will use in this case as we wish to observe how words co-occur in our corpus. Also, we will set the window size to 100. This will create an edge between two words if they both appear within 100 words from each other. For tweets, this is sufficient to capture co-occurrence of ad mentions in the same tweet. To observe this network, we will use the network add-on which you can install in options add-ons. I will connect network explorer to corpus to network. Besides sending in the constructed network, I will also add node data which will give us interesting information about the nodes. In the network explorer, I will set the size of the node to word frequency. That is the number of times the word appears in the text. Finally, I will label the nodes with words. The network I get is interesting. It seems like there is a larger debate here with several people talking to each other. However, the most mentioned person does not get mentioned with the others. Today we have learned how to retain only mentions in preprocessing, construct a network of words from Twitter and how to explore the constructed network. Stay tuned for more text mining videos.