The following is a presentation of TFNN. Trade What You See With Larry Pezzavento Oh, toll free at 1-877-927-6648 Or internationally at<PHONE_NUMBER> Oh, Larry Pezzavento Okay, looking good, Billy Ray, feeling good, Louis. We posted a chart of the German Daks and then also the FTSE. You can see they've had explosive moves to the upside over there, just like we've had here in our NASDAQ. And the NASDAQ has been, you know, leading the pack, you know, all the way. I think what we need to do, we have our good friend Jim Bartolioni is going to be our guest in the next couple of weeks here. But if you remember here, he gave us a chart here on Sunday and he was looking at the possibility of the NASDAQ in the futures reaching 15,696, and the high today was 15,699. So he won't be having him on the show if he misses it by that far.  We have accuracy to be our gauge here and three points in the NASDAQ. $60 in a move that started in 1974 is just doesn't cut it. He's got to be within at least one point and possibly two, but three is out of the ballpark. We don't believe it. Now, looking at that, just looking at it from a standpoint of looking at the AI program, you'll notice here that it was due to make a high up there somewhere in that area, but whether that's going to mean anything or not, you know, I don't really know, but all I do is just trying to do the best I can. We're going to have to review a couple of patterns here. I'm getting a lot of flak because we're missing a lot of trades and it's not much I can do about it. That cattle trade, let me get this up here. That's for one. You'll see here that we were trying to sell it right up there. We missed that darn thing by about 60 points. It's had the big breakdown. We broken down, you know, well over $2,000 and we're waiting to sell it back. So we certainly missed that one and which was a tough one to look at. So the others will come and we'll be able to get them, but they're just not going to happen all the way. I'll go through another one here in just a minute because there's several, but here's one that we did get right. Let's get this up here because we're, we just covered the short crude off. Remember, we were selling that 61% retracement last, I think it was last Friday, I believe there at 69. 39. We had our stop at break even. We finally got the big breakdown today. We were going to try to cover it at the 66. 70 level, which was the 382. But what I tried to do is to, you know, I got to book some profits for the folks. So what I did was I tried to add in what the AI was going to be looking at today and I said we should be covering pretty much here at the market. We were at 67.73 here because we were then about a half hour of what should start a relatively, you know, strong rally for the rest of the day. And I just didn't want to give up any more profits than what we've already looked at. So that's what I was doing when I was watching that. If we take a look at this, you'll see here, I updated it. I know it's trading above 6800 now, but we've already started that rally. So that trade is finished. And we'll look at it again in the other couple of days when we got something going on. That's about it. But we have a couple others that are really important folks. You know, if I were teaching a class on this stuff, which I do occasionally, not very often, but if you take a look here, we were looking, if you remember, we were looking at December corn here, the fact that it was at major support there at that 630 level, right on the money there. And it broke down badly folks. You'll see here, we got all the way down here to 623 today. I wanted to give you a show you that. But the one that's the most interesting, and if I had to, you know, this is how I really got started doing this whole business of cycles and everything else. This is the one that we're really watching today very, very closely. Here is the Mr. Z might like this because this compiles all the stuff that I look at. You'll notice the three drive to a top pattern, the double top up there in May. Okay, then we had the big rally up 78% level. Then you'll see down into August, we came right down to that 61% retracement there at 1307. Then we rallied up to 1377. And today we've taken out the lows of the 786 down there, which were 1277. We got down as low as 1272. But what's interesting here is if you'll look at the low that we made back in March and the low that we made in June, that was 53 trading days, that comes in today. So we should be making a lower low today, which we did. We got down to 1272. So that's a possibility that this is a good pattern. Right now, the trade is setting with a small loss, but it still may or may not work. But this is everything that you're asked for in a trade. The only thing that is negative about this whole cycle stuff is if you'll look at the high there on July 19th, my sainted sister's birthday, Carla, is born on July 19th. That was left translation. You see the low from the 14th up into that 14th of June up to the 19th of July that crested before the mid-crest. That means it's a bearish, which it should be because we're coming down right now. And so we've been bearish grains for quite some time. This is the first time that we're actually looking for a potential for being a buy. It's not working today yet. And of course, we're going to lose. It's going to be a very, very small amount. But that is an absolute perfect setup if you're looking at cycles. Here's where I lost all my money in 1974 in the summer of 74. I would get a signal like this in the grains, and it would be a beauty. It would go down and hit exactly 1272. And it would rally like bejesus for about three days. I mean, really, really strong. And then it would be down for 12 days. And my problem was once it went below that cycle low, not knowing what the heck I was doing with money management or anything else. I'm just a young whipper snapper thinking I knew everything. And I was to gain an education that I didn't want to pay for, which was a considerable amount. But once we went below that, it just kept going lower and lower and lower. That's why you have to be able to define what your risk is if you're looking at these things. So that's the important thing of what we're watching here as we look through some of these things. Now, I am not sure. Of course, no one is sure. But all I know is when you listen to the news and you see what's going on in the markets, what we're seeing here, folks, is a similar top that what we had in 2008 and also in the dot-com bubble. This is not the same as the dot-com bubble because this is only being done with about 25 or 30 stocks, folks. I hope you realize that. There's a lot of stocks up there that are not making new highs and they're not going straight up like the fang stocks and all the others that are going up. So just remind yourself of that when you're looking at these. It's a market of stocks, not a stock market. So pay close attention to that. Our guest today is going to be Shane Smollion. He'll be on thewolftrader.com and we'll have him on at the half-hour. Next week on Tuesday, we are going to have a special report here, a special guest, Mr. Joe DiNapoli, the Fibonacci King from coastal down in the southern Florida will be our guest and we are going to be live. I'm going to put the video up and Joe and I are both going to be on video. We might even do the whole hour together, just as we've been friends for so long. I taught Joe what Fibonacci was in 1971, right after John Hill had taught it to me in 1970 and he made a career out of it. He sold proportional dividers for years and he had a, I forget what it was, he used to sell, he probably remembered, I can't remember, but it was a platform for trading that was very, very possible or very, very profitable. We're almost exactly the same age and we've been around for a very long time and he's a super stand-up guy and he's a lot of fun. So that'll be a good thing to look at. I don't know how the videos work on these darn things so I guess you have to do it through Skype and I'm not, I don't know, maybe I'll try to turn that thing on. Maybe it would be, maybe I could do that. I don't know, where is the video at? Let me see if this will work here. See if the video will work. I don't know, does the video work or not? I showed the video up here. I don't know, I've never done that before. Hey, is it working? Is the video working? Hello, boys and girls. Okay, that's enough. That's enough of Tom Cruise for today. Hold on just a second here. Got to turn that thing off otherwise I'll probably do something I'll regret today. So let's turn it off. Okay, at least we know we can do it. I guess I could do that every day if I wanted to but frankly I don't want to do that. All right, let's move on here. 30-day money-back guarantee as well as daily market updates on key indexes, stocks and commodities. Ride the wave. Sign up for the opening call risk-free today. 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. Powered by its acclaimed TAS proprietary algorithms, this feature-rich scanner instantly filters over 2,500-plus of the most successful men and women on Wall Street. 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Watch online at tfnn.com or on TFNN's YouTube channel and become the investor you were born to be TFNN Educating Investors toll free at 1-877-927-6648 internationally at<PHONE_NUMBER> OK folks someone asked me to take a look at the Chinese ETF what he called Chinese Market ETF called FXI Basel had a really nice description of it on his program and one of the people asked me if I would look at it and basically put it up here I had to agree with everything that he said but because I heard part of it but it was a beautiful ABCD up in the high there at 2021 back there in February we had an ABCD down that finished just about spot on about 7 or 8 days ago now we're having a bounce back rally the $64 question is it going to be a 3-8-2 rally like we got in May or June or is it going to be a major bottom and you know it's you can roll your dice whatever you want to look at it but that's it the main thing that I didn't put in here that's really important and this is where you have to defy human nature and do the work yourself if you will look at the timeframe between July and January of the July of 2020 and January of 2021 you can see an absolute perfect ABCD pattern there it bottoms in September Drive 1 was in July we rally up to the 78% level in October right within one half of a penny and then we pull down to point C and then we go up to point D up there at 54 it's a perfect 3-drive to a top ABCD everything that you could possibly ask for and that's what you're looking for folks we're seeing the exact same thing here on the upside down version in soybeans but this one doesn't look like it's going to work so you just got to you know you pay your money and take your choice and move on to the next one that's basically all you can do right now we're out the very small amount but you know the most we're risking on this is $250 right now it's out about 40 bucks but we're going to find out whether it's going to be working by the end of the day today this has no time left the time is set up perfectly and if it works fine if it doesn't you move on and you find something else that's the bottom line of what we're looking at well the EMMs having big gap ups remember folks those ETFs are pretty tough because I think Mr. Buffett used to call them weapons of mass destruction at one time but now I guess he loves them but who knows anyway they're very thin out there on some of those and gaps can happen especially when you have a big move up like we've had here in a you're saying it broke a 10 year range wow I didn't believe that let me check let me take a quick look at that maybe I'm maybe I'm missing something but I didn't believe that the ETF would do that give me one second here to take a look at this folks because I do have that in the chart thing because I've looked at it before because that's the emerging market and it's a big one let's get this daily up and we'll see where we are here oh come on now boys it ain't doing that much just a second here hold on let's get this out of the way here and take a quick look at it all right oh yeah there's a nice one okay well let's let's just let's just do it let for kicks and giggles let's just do this together because I know you folks want to learn something so do I there's what we were looking at if we take I take just a little bit of a ABCD structure which we do like here let's get this up here so we can see it one second there we go there's your AB there's your ABCD leg wow I guess you could say that ABCD works on EM because you'll look here there you go we went right down to it 49 now we're trading at 53 okay the 64 question is we've had a heck of a good rally here now is this this is not breaking out of any 10 year high range or anything what do you I don't understand what you mean by that that's just a downtrend you know we're having lower tops and lower bottoms this is a bear market you want to look for a retracement to sell it and if you drew the drew the number in we're almost at the 61 percent retracement there at 53 55 and we're trading at 53 20 so that's it let's take a look at what we're going to be looking at okay the the the NQ pattern is is is set up to go lower folks that's a big ABCD I posted that that Bart looked at and it's got all things that are saying it's going to be that way but you know they can go higher and you got that's what this is all about it's about it's about risk control it's nothing else that you can do is just risk control that's the whole thing of what you're watching so pay very very close attention that it's that's what makes the markets move and if you make a mistake of thinking how much money you're going to make on something versus how much you might lose that's where you run into trouble so focus on how much money you're going to lose that's the main thing and the rest of it you know will fall into place and you'll be you'll be okay just look at the bond market what they've done to that folks I mean people that got bullish on that stuff up there at 67 you know it's broken down sharply and it continues to go lower and you know it just has to given the fact that you know the feds out there borrowing everything it can get his hands on and people are going to have to pay up for it and want higher interest rates i.e. lower bound prices so not a big mystery with that one here as we're looking at it today the main one of course focusing on here was the soybeans because it is a perfect pattern it's not 99% chance it's not going to work today but you still have to do it because you don't know which ones are going to work and which ones aren't and I have no qualms about that one if I lose I just you know just figure out the next trade and that's what I'm looking at the problem that some people ask me is how do I miss some of these trades by you know by heartbeat I can't do anything more than that folks I have to get as close to these numbers as I can the cattle we miss by heartbeat we missed a couple others that were you know spot on the gold we missed by a little bit the other day and so that's the way it is but you just got to shake it off and move on but this this EEM chart that's bearish there's no other way to look at it I mean I don't know I guess I misinterpreted someone was talking about the NASDAQ of what we're looking at I can see here oh this is an interesting one on the weekly hold on just a second here yeah see this is a this is an interesting chart on the weekly this is that that's a very good point here let's look at this here on the weekly basis because this has actually got a beautiful ABCD here wow this is a I don't trade these ETFs but this might mean something I don't know but there's your here's your weekly chart on the ETF you'll notice here down there at that 49 level when we you saw that on the daily you've already seen that but that's what it was on the weekly at 4950 we're now trading a 53-21 with two big move up days up weeks two weeks in a row we've had really strong movement so that's important going below 49 and a half now is really very so that's what that's what this look right now it doesn't look very should all it looks like we're going to hit that 53-55 without any trouble then we'll find out you know whether we whether we do something from that level or not so those are a couple of the things that we're keeping a close eye on here this morning all right we've got one other question that someone asked I think it was about hold it just a second I've got it up here it's about this this US dollar I want to give it up here because we are we're down here we're getting ready to come down okay okay the key level we hit 92 40 the other day we get below that folks we're going to move down to the ABCD down there at 92 20 and I think we will do that that looks like that this is where we want to go is a little bit lower we've got that three drive to a top pattern and anything below 92 hundred would really send the Euro you know into the stratosphere we've been along that Europe until yesterday stay tuned for Shane's million folks WolfTrader.com 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 trader in the trading markets and join the Tigers Den trading room only at TFNN.com the Tigers Den is an exclusive trading room where successful traders from around the world come to exchange trades and ideas join the Den and surround yourself with the sharpest minds in the trading world subscribers to the Tigers Den are also the first to have their questions answered live on air and can privately chat with our TFNN hosts live during their shows interact with other Tigers and Tigers as they share trading ideas news analysis and discuss the market action all trading day subscribe to the Tigers Den risk free with our 30-day money back guarantee and become part of the TFNN trading community TFNN educating investors to give you the power to control your 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using this first-of-its-kind program the art of timing the trade charts allows you to scan thousands of stocks for Fibonacci formation setups including guardleaf ABCs butterflies and much more the art of timing the trade charts is designed to help you when scouring the markets for stocks just beginning 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 going to 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 okay folks we're back and we're talking with Shane Smolian WolfTrader.com how are you my friend is this Duke and Duke this is it baby this is Duke and Duke 100 South Broad Street Philadelphia, Pennsylvania what do you have for us today young man what's on the menu well we have a few different things to talk about today I'm going to take a little bit of a different and get look at a bigger term picture and of course we will talk about the Fed too so real quick disclaimer just to remind everybody awarding about using fragments that this stuff is updated daily that I get that I give so what you see this week might be different next week so I just want everybody to just keep that in mind that this isn't a static forecast it does change depending on what's going on in the day and of course what's going on with the Fed so we're going to talk about the Fed internals right now and this is a really big indicator that I look at and it tracks on a weekly time frame it's very important because it allows us to tell what's going to happen in the market based upon what the Fed is doing now this is a chart going back to 2011 2012 I've showed this a few times but it is important to keep to note this that these flows here are the Fed and the yellow and then the white chart and you can see here when the Fed starts to turn the internals down the market follows and a lot of times there's a lag here because this can be a weekly time frame this case in 2011 there was a one month lag it actually tried to go back up and do a second high before it collapsed in the summer and then there was a one and a half month lag here in April of 2012 and eventually the markets did come down to meet this so we're looking at these flows sometimes there are divergences to develop and it can take a while to show up now this is the actual current chart of the Fed internals versus the S&P on a weekly time frame and so this is a big deal because right now we are deflecting lower and it's a very sharp deflection and I'm going to show you in a minute each time we've deflected lower in the past it does show up in the market by each time there might be a lag but it will show up according to what has happened in the past so this is important so I'm going to show you like with some arrows here this is what happened here back in 2017 this was 2018 this was the taper tantrum here when power first comes in there was a six month lag here from the time that the internals started to drop until we saw this eventual stall in the market here and then when we go over to during COVID when they pulled back there was actually a three month lag here before the market started to stall out in this case so we're about two months into this now but this one is a much sharper decline the only thing that might be blunting this is there are a lot of central banks acting in concert with the Fed I do talk about this in the newsletter the IMF just released $650 billion of SDRs and so even in the financial crisis of 2008 they only released about 283 billion so there's other factors there but I think this is still the main show to watch you can see on the daily time frame here there is a significant drop off in other words the Fed has already started their taper and so I think it's just a matter of time before the markets follow I don't think this this is unavoidable at the Fed continues on this path the markets will correct at least go into a stall and usually that stall lasts for a couple of months so I think we're getting to the point here where it's getting a little bit overextended now we do have the double optimized lunar cycle that we track for the S&P 500 this is really become a go to indicator for us these are the actual signals that were posted in the newsletters these are actual posted signals these green arrows here are the double optimized lunar and it has been very good across multiple symbols multiple asset classes not just the S&P this has become a very very solid symbol because we've taken the astro to another level by providing the second optimization that looks forward into the future because most astro services just looking to the past and assume that that's going to happen into the future but I've taken it another step here so this did go into this sell on 830 and that and the market did turn on Q with that again too so I just wanted to point this out that this is available and it's performing very well it's not just the S&P it's also performing well with this now there are some fundamental concerns that I want to talk about and I'm going to take a change of tack here Larry I never really talk negative about the markets because I've seen what the Fed is doing but I see the Fed is pulling back and we're starting to see some fundamentals now that are very concerning the Michigan consumer sentiment came in yesterday at 70.3 you can see here on the graph the letter A here this goes all the way back to 2011-2012 we're at levels now below that so we've matched levels below the 2011-2012 and there are other indicators suggesting that the world economy isn't slowing down and so this is a concern because when you put this together with what's going on with the Fed I think you have a recipe here for something that could be dangerous in the S&P we look at the jobs data this morning the private payrolls went up by just 374,000 and the estimate is supposed to be 600,000 and tomorrow we have the non-farm payrolls coming in and the Fed and the Jackson Hall made a very clear point to say that their taper is tied to the jobs data so we will see tomorrow if the jobs data start to come in week then I think there is definitely a sign here that the economy is slowing down and I have some more indicators in the newsletter but just across the board we're seeing a slowing down and if the jobs come in week that's not going to be good so that's a fundamental concern and I haven't really had that concern for a while not even during COVID because I saw what the Fed was doing but the Fed's kind of not they're pulling back here so I get concerned when I see these things so this brings us to our next topic here which is dealing with negative divergences so I post charts each month in the newsletters I post what I call a high level chart and it's a chart that looks at maybe 10 years, 15 years and I created an indicator called the price normalized MACD and the reason I did this is that when you have price swings that double and triple you can't use the MACD to compare support and resistance levels so what I did was I normalized the MACD to allow us to see price swings across large levels in other words it's kind of like a stochastic but not really because it can still go above, there's no bounded region from 0 to 100 the point is that this is important because you can get an equal comparison now for commodities that have doubled and tripled in price it's important resistance on them and you can actually find divergences on the chart so this is really important because I'm starting to see signs here that we're reaching some type of a peak here with the inflation of the Fed now I know we've got that stimulus package on tap and that's coming up in October and that should be good for the economy but what I'm looking at here on these charts is a lot more bearish so again this is the time that I'm actually taking a more bearish stance on this and I'm going to talk more about this on Saturday I'm going to do a webinar about this but this is the U.S. daily dollar so let me just show you what we have here so the letter A and B here this is the dollar since 2014 you can see that it's been relatively pushing higher we had the pullback during COVID but if you look down here at the bottom this is the normalized price adjusted MACD so it's normalized for the price so if the price doubles it won't double with it and we're going to take a little break folks changemoleonwolftrader.com we're going to talk about the prices 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 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principal the funds are designed to be utilized only by sophisticated investors such as traders and active investors and a distributor for side fund services LLC don't forget you can listen to TFNN live on your mobile device 24 hours per day go to TFNN.com then hit watch Tiger TV that's TFNN.com then hit watch Tiger TV ok we're back folks we're talking with the wolf trader himself Shane Smolian do you want to continue young man sure so we were talking about the dollar so the dollar is making this negative divergence so some people might say well you know this is really good for commodities because you know a falling dollar would cause commodities to rise but that's only true to a point let me just go through some other commodities in fact when I went through these charts Larry I couldn't find one positive chart and this is very concerning this is gasoline now you can see this negative divergence starts forming all the way back in 2011 here but this is not a good sign I mean when you're pushing higher here and you still have this divergence coming down like this that's not good and these divergences eventually will correct at some point now it may not happen next week it may not happen next month but you know on a 10 year scale this is not a positive chart ok if you're looking at this and we did see positive divergences at COVID lows but we don't see that now the next chart here is gold same thing gold has a negative divergence forming here this goes all the way back and again this is a 10 year chart guys this is not a positive chart but this goes all the way back here you can see the gold really has been running kind of flat here maybe a little bit higher but yet this is still pushing lower that's a negative divergence these are all deflationary trends Larry and we had the big reflation here by the Fed and this is still in a negative divergence even after what the Fed did now the next two charts might surprise you because this is crypto but take a look at Bitcoin Bitcoin is in a negative divergence here if you go back to May you can see that this normalized price adjusted MACD again this is a normalized MACD that adjusts for price spikes so we can actually see now the divergences when we get these wild swings when something doubles this isn't a negative divergence now and it gets worse with Ethereum the theorem is going to be the next slide here Ethereum we have a negative divergence going all the way back to 2018 you can see here that this starts in 2018 this is the the price chart here Ethereum is rolling up yet we have a negative divergence going down here and on top of that we have a second negative divergence forming here on Ethereum too so pretty much every chart I load here is not looking too hot now Larry I know you're going to like this one this is going to be the 10-year bond and this one goes all the way back to 2009 we are in a strong negative divergence on the 10-year bond now this is a big chart guys this is going back 12 or 13 years but you can clearly see the pronounced divergence here the price is heading higher with the Fed and this is heading lower here and so we know the Fed owns assets we know the Fed buys bonds so it's going to be tougher for this one to come down particularly because the Fed never loses money on any of their operations even the retail that they did they never lost money so this is going to be a little tougher to come down but just to note that the divergences are here they are clear and present we look at the S&P this is the dollar juice this is an indicator that I have that has been tracking the S&P beautifully here you can see going back here from March all the way here in April going into May it's just been a beautiful indicator to track the S&P this has been in this negative divergence since July also this has nothing to do with the Fed juice but here's another one here that's showing up and this is on a shorter time frame the next chart here is dealing with S&P but it's dealing with just regular RSI regular RSI divergences do show up if we go back here on this S&P if we go back to this is like May April on that decline in May you can see there's rising and the RSI was falling here on the chart the letter A and B here so S&P was rising RSI was falling we got a correction the sensitive level right now for this is about 77% on the S&P so you can see every time it hits that line we call it the best RSI that's the level that it reverses so see it hits that reverses but D here you can see there's a negative divergence forming here S&P goes up and then falls here and we're currently in a negative divergence again on the S&P so there's plenty of setups here for the downside the question is will the S&P revert in the near term I talked about September in the newsletter it's a relatively quiet astrological month but there are some negative cycles coming in and towards the end of the month I think things get a lot more interesting for the S&P but it's been very stubborn and it's pushed higher but I'm just pointing out that there are a lot of cards set up on this or a lot of dominoes set up to fall down if this thing does want to start moving to the downside so we also combine the Fed use with the double lunar cycle too so these are a few charts that I posted actually last week in the money show this is a chart of the double lunar cycle here on the bottom this is copper but you can see that the double lunar cycle has been modeling what's going on with the markets again I showed you the S&P before but this is copper and you can see the letter A matches A, B is the top, B is the top C is the low, C is the low, D is the top D is the top etc so this has really been a very very strong addition for us to the service now the thing I talked about was combining these two signals together when you get a Fed use signal change and it's near cycle low you have a much stronger chance of a run so this is copper here and the red is this letter A here and this is when the Fed use goes into a buy and this is when the cycle goes into a buy the cycle low it's within about a day or two and you get this nice run up here to the next cycle high and then you get this Fed use cell here and if they occur together then it tends to have bigger runs and that's what we've been seeing and these are actual posted signals this was actually what was posted to subscribers all of these charts are posted and stamped on Twitter go down here to the letter C the Fed use goes into a buy and we get another spike up here in the market so here's another one here this was just a recent move in copper but you got a high here on the letter B on the Fed use and then Fed use goes into a cell and then the double lunar cycle goes into a cell here and then we get a move so the idea is that when you get these alignments you get a higher probability that the markets will turn and go into your favor this was the Fed use here coming into a buy the letter A down here in late July and then the cycle low comes in here and then within a day it makes a nice run up here to 811 819 and then 823 the Fed use comes into the cell and we're into the cycle high also here so this is this was just a little bit of an excerpt of what I talked about about combining these two but it's very powerful when you combine different indicators together that are independent so the cycle is different than the Fed use and when you combine those you can tend to get better outcomes and there are cases where you can overlap these cycles too this is an example of Tesla we can also take the double lunar cycle with a much shorter term cycle here and when they line up and they're within a couple of days of each others low here you can see that that can tend to mark lows on these markets too and then you can get bigger runs there so this is something that we put on the stock ETF newsletter now we actually have double lunar cycles and we have this short term cycle so visually what this does is this gives you a representation when you look at the chart you can see what's going on with the Fed use here with the red arrows but then you can look down here and you can see hey what's the lunar cycle doing and then you can line these up to get a better idea of what's going on so you get the best in both worlds wow this is great stay tuned folks we'll be right back with thewolftrader.com in just a few minutes 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 8.30am to 4pm 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 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to take a supplement that complements your health Primal Edge is specifically formulated to boost your immune system and help with weight loss, better sleep stress reduction and the need to detox our early ancestors found all their nutritional requirements in the wild environment but today our food sources don't contain the vitamins minerals and nutrients that we need to stay healthy and strong that's why we need Primal Edge daily nutrition it includes a special blend of ionic soil based vitamins, minerals fatty and amino acids in an easy to use liquid form Primal Edge is powered by highly concentrated humic and fulvic acids Primal Edge's preferred delivery system they've been called miracle molecules because like sunlight, air and water without them life cannot exist that's right Ellen, they ensure we receive all the nutrition we need to be healthy and thrive we take it every morning Primal Edge, just $89 exclusively at TFNN.com Hi folks this is Steve Rhodes stay tuned for another great hour of the Traders Edge heard here at TFNN.com we're back folks talking with St. Smollion the Wolf Trader Shane we've had a question from two of our listeners, same question so we can answer in one question and that is what do you see unfolding here between now and Labor Day in the markets? Now in Labor Day, well the Optimized Bradley is falling to about 9.6, typically the markets can hover around a holiday but the big picture guys with the Fed, what I see going on with those internals and again just as a disclaimer here the nation is directly from the US Federal Reserve and all of these signals are posted and time stamped on Twitter there may not be Traders Digest anymore but there is Twitter and all of these are legitimate signals posted exactly as they were given to subscribers so that's my think about that I think later in September is probably the bigger issue Now getting real quick back to this chart on Tesla, I just want to show you an example of how you could put this together we knew that the Fed use was in a cell here and was the strongest day of the week for Tesla so you can see here that it goes up on Monday so you're in a cell, Monday is the strongest day you're at a high here on the double lunar and on the 46 day cycle so just give you an example of a sample trade that we did on this, we had a 765 by 770 bear call spread opened up on this trade because we're lining up all of these alignments to give us the best opportunities so that's still about $30 away with just a couple days left but that's an example of how you can line all of these up and then put the odds in your favor to get a move and you get a little bit of a cushion here with that spread you get about a 30 point cushion there to deal with so that's just an example of how you can line those things up but it really really helps us see what's going on it gives us vision of the market vision in terms of what's going on if anybody wants to reach me you can reach me at Shane at WolfTraderFutures.com or www.feduce.com I do have a twitter feed a free twitter feed which is at WolfTraderFut1 so go there and sign up you'll get information, daily updates updates of seminars, webinars, I post charts it's just a good way to keep touch if you want to keep contact I have how many clones are there of you to do all this stuff see you tomorrow folks, may God bless you


Welcome to this Biz Ups Manifesto power panel, Data Lake or Data Land Field. We're going to be talking about that today. I've got three guests joining me. We're going to dive through that. Karen Taylor is here, the CMO of Broadcoms Enterprise Software Division. Karen, great to have you on the program. Thank you, Lisa. Kevin Serresa is here as well, Chairman and CTO of ATVAN. Hey, Kevin. Hey, Lisa. And Isaac Sokolik, author and CEO of Star IO. Isaac, welcome. Hi, Lisa. Thanks for having me. So we're going to spend the next 25 to 30 minutes talking about the challenges and the opportunities that data brings to organizations. You guys are going to share some of your best practices for how organizations can actually sort through all this data to make data-driven decisions. We're also going to be citing some statistics from the inaugural Biz Ups Industry Survey of the state of digital business in which 519 business and technology folks were surveyed across five nations. Let's go ahead and jump right in. And the first one in that survey that I just mentioned, 97% of organizations say we've got data-related challenges limiting the amount of information that we actually have available to the business. Big conundrum there. How do organizations get out of that conundrum? Karen, we're going to start with you. Thanks, Lisa. You know, I think, I don't know if it's so much limiting information as it is limiting answers. There's no real shortage of data, I don't think, being captured recently met with a unnamed auto manufacturer who's collecting petabytes of data from their connected cars. And they're doing that because they don't really yet know what questions they have of the data. So I think you get out of this data landfill conundrum by first understanding what questions to ask. It's not algorithms, it's not analytics, it's not math that's going to solve this problem. It's really, really understanding your customer's issues and what questions to ask of the data. Understanding what questions to ask of the data. Kevin, what are your thoughts? Yeah, look, I think it gets down to what questions you want to ask and what you want out of it, right? So there's questions you want to ask, but what are the business outcomes you're looking for? Which is the core of BizOps anyway, right? What are the business outcomes? And what business outcomes can I act upon? So there are so many business outcomes you can get from data and you go, well, I can't legally act upon that. I can't practically act upon that. I can't, whether it's layoff people or hire people or whatever it is, right? So what are the actionable items? There is plenty of data. We would argue too much data. Now, we could say is the data good, is the data bad? Is it poorly organized? Is it noisy? There's all other problems, right? There's plenty of data. What do I do with it? What can I do that's actionable? If I was an automaker and I had lots of sensors on the road, I had petabytes, as Karen says, and I'm probably bringing in petabytes potentially every day, well, I could make my self-driving systems better. That's an obvious place to start, right? That's what I would do. But I could also potentially use that to change people's insurance and say if you drive in a certain way, something we've never been able to do, if you drive in a certain way, based on the sensors, you get a lower insurance rate. And nobody's done that. But now there's interesting business opportunities for that data that you didn't have one minute ago and I just gave away. So it's all about the actionable items in the data. How do you drive something to the top line and the bottom line? Because in the end, that's how we're all measured. And Isaac, now you say data is the lifeblood. What are your thoughts on this conundrum? Well, I think they gave you the start and the end of the equation. Start with a question. What are you really trying to answer? What you don't understand that you want to learn about your business connected to an outcome that is valuable to you? And really what most organizations struggle with is a process that goes through discovery, learning what's in the data, addressing data quality issues, loading new data sources if required. And really doing that iteratively, and we're all agile people here at BizOps, right? So doing it iteratively, getting some answers and understanding what the issues are with the underlying data. And then going back and revisiting and reprioritizing what you want to do next. Do you want to go look at another question? Is the answer heading down a path that you can drive outcomes? Do you got to go cleanse some data? So it's really that, how do you put it together so that you can peel the onion back and start looking at data and getting insights out of it? Great advice. Another challenge though that the survey identified was that nearly 70% of the respondents, and again, 519 business and technology professionals from five countries said, we are struggling to create business metrics from our data with so much data, so much that we can't access. Can you guys share best practices for how organizations would sort through and identify the best data sources from which they can identify the ideal business metrics? Kieran, take it away. Sure thing. I guess I'll build on Isaac's statements. Every company has some gap in data, right? And so when you do that data gap analysis, I think you really, I don't know, it's like Alice in Wonderland, begin at the beginning, right? You start with that question like Isaac said. And I think the best questions are really born from an understanding of what your customers value. And if you dig into that and you understand what the customer's value, you build it off of actual customer feedback, market research, then you know what questions to ask. And then from that, hey, what inputs do I need to really understand how to solve that particular business issue or problem? Kevin, what are your thoughts? Yeah, I'm going to add to that, completely agree, but look at, let's start with sales data, right? So sales data is something everybody on this, everybody watching this understands, even if they're not in sales, they go, okay, I understand sales data. What's interesting there is we know who our customers are. We could probably figure out if we have enough data why they buy. Are they buying because of a certain sales person? Are they buying because it's a certain region? Are they buying because of some demographic that we don't understand, but AI can pull out, right? So I would like to know who's buying and why they're buying. Because if I know that, I might make more of what more of those people want, whatever that is, certain fundamental sales changes or product changes or whatever it is. So if you could certainly start there, if you start nowhere else say, I sell X today, I'd like to sell X times 1.2 by next year. Okay, great. Can I learn from the last five years of sales, millions of units or a million or whatever it is, how to do that better? And the answer is for sure, yes. And yes, there's problems with the data and there's holes in the data as Karen said and there's missing data. It doesn't matter. There's a lot of data around sales. So you could just start there and probably drive some top line growth, just doing what you're already doing, but doing it better and learning how to do it better. Learning how to do it better. I say, talk to us about what your thoughts are here with respect to this challenge. Well, when you look at that percentage, 70% struggling with business metrics, what I see is some companies struggling when they have too few metrics, their KPIs, it really doesn't translate well to people doing work for a customer, for an application, responding to an issue. So when you have too few and they're too disconnected from the work, people don't understand how to use them. And then on the flip side, I see other organizations trying to create metrics around every single part of the operation, dozens of different ways of measuring user experience and so forth. And that doesn't work because now we don't know what to prioritize. So I think the art of this is management coming back and saying, what are the metrics? Do we want to see impact and changes over in a short amount of time, over the next quarter, over the next six months and to pick a company each category, certainly starting with the customer, certainly looking at sales, but then also looking at operations and looking at quality and looking at risk and say to the organization, these are the two or three we're going to focus on in the next six months. And then I think that's what simplifies it for organizations. Thanks, Isaac. So something that I found interesting is not surprising in that the survey found too much data is one of the biggest challenges that organizations have, followed by the limitations that we just talked about in terms of identifying what are the ideal business metrics, but a whopping 74% of survey respondents said, we failed to have key data available in real time, which is a big inhibitor for data-driven decision-making. Can you guys offer some advice to organizations? How can they harness this data and glean insights from it faster? Kieran, take it away. Yeah, I think there are probably five steps to establishing business KPIs. And Lisa, your first two questions and these gentlemen's answers laid out the first two. That is to find the questions that you want answers for and then identify what those data inputs would be. If you've got a formula in mind, what data inputs do you need? The remaining three steps, one is to evaluate the data you've got and identify what's missing. What do you need to then fetch? And then that fetching, you need to think about the measurement method, the frequency. I think Isaac mentioned this concept of tools sprawl. We have too many tools to collect data. So the measurement method and frequency is important, standardizing on tools and automating that collection wherever possible. And then the last step, this is really the people component of the formula. You need to identify stakeholders that will own those business KPIs and even communicate them within the organization. That human element is sometimes forgotten. It's really important. It is important. It's one of the challenges as well. Kevin, talk to us about your thoughts here. Yeah, again, for sure. You've got, in the end, you've got the human element. You can give people all kinds of KPIs. As Isaac said, often it's too many. You've now KPI'd the business to death and nobody can get out and do anything. That doesn't work. Obviously you can't improve things till you measure them. So you have to measure, we get that. But this question of live data is interesting. My personal view is only certain kinds of data are interesting, absolutely live in the moment. So I think people get in their mind, oh, well, if I could deploy IoT everywhere and get instantaneous access within one second to the amalgam of that data, I'm making up words too, that would be interesting. Are you sure that'd be interesting? I might rather analyze the last week of real, real data, really deep analysis, right? Build a real model around that and say, okay, for the next week, you ought to do the following. Now, I get that if you're in the high-frequency stock trading business, every millisecond counts. But most of our businesses do not run by the millisecond and we're not gonna make a business decision, especially humans involved, in a millisecond anyway. We make business decisions based on a fair bit of data, days and weeks. So this is just my own personal opinion. I think people get hung up on this, I gotta have all this live data. No, you want great data analysis using AI and machine learning to evaluate as much data as you can get over whatever period of time that is, a week, a month, a year, and start making some rational decisions off of that information. I think that is how you run a business that's gonna crush your competition. Good advice. Isaac, what are your thoughts on these comments? Yeah, I'm gonna pair off of Kevin's comments. How do you chip away at this problem at getting more real-time data? And I'll share two insights. First, from the top down, when STAR-CIL works with a group of a CEO and their executive group, how are they getting their data? Well, they're getting it in a boardroom with PowerPoints, with spreadsheets behind those PowerPoints, with analysts doing a lot of number crunching, and behind all that are all the systems of record around CRM and the ERP and all the other systems that are telling them how they're performing. And I suggest to them for a month, leave the world of PowerPoint and Excel and bring your analysts in to show you the data live in the systems, ask questions and see what it's like to work with real-time data. That first changes the perspective in terms of all the manual work that goes into homogenizing that data for them, but then they start getting used to looking at the tools where the data is actually living. So that's an exercise from the top down. From the bottom up, when we talk to the IT groups, so much of our data technologies were built at a time when batch processing in our data centers was the only way to go. We ran these things overnight to move data from point A to point B. And with the cloud, with data streaming technologies, it's really a new game in town. And so it's really time for many organizations to modernize and thinking about how their streaming data doesn't necessarily have to be real-time. It's not really IOT, but it's really saying I need to have my data updated on a regular basis with an SLA against it so that my teams and my businesses can make good decisions around things. So let's talk now about digital transformation. We've been talking about that for years. We talked a lot about in 2020 the acceleration of digital transformation for obvious reasons. But when organizations are facing this data conundrum that we talked about the sort of data disconnect too much, can't get what we need right away. Do we need it right away? How do they flip the script on that so that it doesn't become an impediment to digital transformation, but it becomes an accelerant? Kiran? A lot of times you'll hear vendors talk about technology as being the answer, right? So MIML, my math is better than your math, et cetera. And technology is important, but it's only effective to the point which people can actually interpret, understand and use the data. And so I would put forth this notion of having data at all levels throughout an organization. Too often what you'll see is that I think Isaac mentioned it. The data is delivered to the C-suite via PowerPoint and it's been sanitized and scrubbed, et cetera. But heck, by the time it gets to the C-suite it's three weeks old. Data at all levels is making sure that throughout the organization, the right people have real-time access to data and can make actionable decisions based upon that. So I think that's a real vital ingredient to successful digital transformation. Kevin? Well, I like to think of digital transformation as looking at all of your relatively manual or paper-based or other processes, whatever they are throughout the organization and saying, is this something that can now be done for lack of a better word, by a machine, right? And that machine could be algorithms, it could be computers, it could be humans, it could be cloud, it could be AI, it could be IoT, it doesn't really matter. And so there's a reason to do that and of course the basis of that is the data. You've got to collect data to say this is how we've been performing, this is what we've been doing. So a simple example of digitization is people doing RPA around customer support. Now you collect a lot of data on how customer support has been supporting customers. You break that into tiers and you say, here's the easiest lowest tier. I had formed that out to probably some other country 20 years ago or 10 years ago. Can I, even with the systems in place, can I automate that with a set of processes, robotic process automation, that digitizes that process now? Now there still might be 20 different screens to click on and all different kinds of things, whatever it is, but can I do that? Can I do it with some chatbots? Can I do it with it? No, I'm not gonna do all the customer support that way, but I could probably do a fair bit. Can I digitize that process? Can I digitize the process? Great example we all know is insurance companies taking claims. Okay, I have a phone. Can I take a picture of my car that just got smashed, send it in, let AI analyze it and frankly do an ACH transfer within the hour? Because if it costs an insurance company on average $300 to $500, depending on who they are, to process a claim, it's cheaper to just send me the $500, than even question it. And if I did it two or three times, well then I'm trying to steal their money and I should go to jail, right? So these are just, I'm giving these as examples because they're examples that everyone who's watching this would go, oh, I understand you're digitizing a process. So now when we get to much more complex processes that we're digitizing in data or hiring or whatever, those are a little harder to understand, but I just try to give those as like everyone understands, yes, you should digitize those, those are obvious, right? Now those are great examples, you're right, they're relatable across the board here. Isaac, talk to me about what your thoughts are about, okay, this data conundrum, how do we flip the script and leverage data access to it insights to drive and facilitate digital transformation rather than impede it? Well, remember, digital transformation is really about changing the business model, changing how you're working with customers and what markets you're going after. You're being forced to do that because of the pace digital technologies are enabling competitors to outpace you. And so we really like starting digital transformations with a vision. What does this business need to do better, differently, more of what markets are we gonna go after, what types of technologies are important? And we're gonna create that vision but we know long-term planning doesn't work, we know multi-year doesn't plan and doesn't work. So we're gonna send our teams out on an agile journey over the next sprint, over the next quarter, and we're going to use data to give us information about whether we're heading in the right direction. Should we do more of something? Is this feature a higher priority? Is there a certain customer segment that we need to pay attention to more? Is there a set of defects happening in our technology that we have to address? Is there a new competitor stealing market share? All that kind of data is what the organization needs to be looking at on a very regular basis to say, do we need to pivot what we're doing? Do we need to accelerate something? Are we heading in the right direction? Should we give ourselves high fives and celebrate a quick win because we've accomplished something because so much of transformation is what we're doing today, we're gonna change what we're doing over the next three years. And then guess what? There's gonna be a new set of technologies, there's gonna be another disruption that we can't anticipate. And we want our teams sitting on their toes waiting to look at data and saying, what shall we do next? That's a great segue, Isaac, into our last question, which is around culture. That's always one of those elephants in the room, right? Because so much cultural transformation is necessary, but it's incredibly difficult. So question for you guys, Karen, we'll start with you, is do you advise leadership should really create a culture, a company-wide culture around data? What do you think? Absolutely, I mean, this reminds me of DevOps in many ways. And the data has to be shared at all levels and it has to empower people to make decisions at their respective levels so that we're not kind of siloed in our knowledge or our decision-making. It's through that collective intelligence that I think organizations can move forward more quickly, but they do have to change the culture. They've got to have everyone in the room. Everyone's got a stake in driving business success from the C-suite down to the individual contributor. Right, Kevin, your thoughts.  Okay, well, how about if we stripped the PII? Well, then that won't be good for something else. And you're getting these huge arguments. And if you're not driving it from the top, certainly the CIO, maybe the CFO, maybe the CEO, I would argue the CEO drives it from the top because the CEO drives company culture.  It's the business, right? It's ops being driven by business goals. And the CEO has to set the business goals. It's not really up to the CIO to set business goals. They're setting operational goals. It's up to the CEO. So when the CEO comes out and says, our business goals are to drive up sales by this, drive non-cost by this, drive up speed of product development, whatever it is. And we're going to digitize all of our processes. To do that, we're going to set in KPIs. We're going to measure everything that we do and everybody's going to work around this table. By the way, just like we did with DevOps a decade ago, right? And said, Deb, you actually have to work with ops now. And they go, those dangerous guys way over in that other building, we don't even know who they are. But in time, people realize that we're all on the same team. And that if developers develop something that operations can't host and support and keep alive, it's junk, right? And we used to do that. And now we're much better at it. And whether it's DevSecOps or Dev2AOps, whatever, all those teams working together, now we're going to spread that out and make it a bigger pie around the company. And it starts with the CEO. And when the CEO makes it a director for the company, I think we're all going to be successful. Isaac, what are your thoughts? I think we're really talking about a culture of transformation and a culture of collaboration. I mean, again, everything that we're doing now, we're going to build, we're going to learn, we're going to use data to pivot what we're doing, we're going to release a product to customers, we're going to get feedback, we're going to continue to iterate over those things. Same thing when it comes to sales, same things that, you know, the experiments that we do for marketing. What we're doing today, we're constantly learning, we're constantly challenging our assumptions, we're trying to throw out the sacred cows and what status quo, because we know there's going to be another island that we have to go after. And that's the transformation part. The collaboration part is really, you know what, what you're hearing. Multiple teams, not just dev and ops, not just data and dev, but really the spectrum of business, of product, of stakeholders, of marketing and sales, working with technologists and saying, look, this is the things that we need to go after over these time periods and work collaboratively and iteratively around them. And again, the data is the foundation for this, right? And we talk about a learning culture as part of that. The data is a big part of that learning, learning new skills and what new skills to learn is part of that. But when I think about culture, you know, the things that slow down organizations is when they're not transforming fast enough or they're going in five or six different directions, they're not collaborative enough. And the data is the element in there that is an equalizer. It's what you show everybody to say, look, what we're doing today is not going to make us survive over the next three years. The data equalizer, that sounds like a, that could be a movie coming out in 2021. Gentlemen, thank you for walking us through some of those interesting metrics coming out of the BISOP's inaugural survey. Yes, there are challenges with data. Many of them aren't surprising, but there's a lot, also a lot of tremendous opportunity. And I liked how you kind of brought it around to from a cultural perspective, it's got to start from that C-suite and to Kieran's point all the way down. I know we could keep talking, we're out of time, but we'll have to keep following. This is a very interesting topic, one that is certainly pervasive across industries. Thanks guys for sharing your insights. Thank you, Lisa. Thank you, Lisa. For Kieran, Taylor, Kevin Serace, and Isaac Sokolik, I'm Lisa Martin. Thanks for watching.


Ladies and gentlemen, the President of the United States. Thank you very much. Well, I'm delighted that so many of you were able to be here today. Welcome to the White House. Behind the headlines of today, steadily chipping away at the obstacles to peace is another and less sensational dimension to foreign affairs. It is the network of human relations between our country and other nations around the globe. This network is more than government-to-government relations, tourism or commerce. It also has been built on the experiences of young people who've lived with families and attended schools or universities in other countries. I'm convinced that one of the best ways to develop more accurate perspectives on other nations and on ourselves is for more Americans to join for a time a family and a community in another land. And we can't hope that other nations will appreciate our country unless more of their future leaders have had the same chance to feel the warmth of the American family, the vitality of an American community, the diversity of our educational system. Now, sometimes I must admit that last part there has given me some problems. When I was governor, I used to welcome every year those students who were in California from other lands. And I always had one question. I would ask them, tell me now that you have been here at easier or harder than school in your own country, and then I'd wait two or three minutes for the laughter to stop, which answered the question. They found it somewhat easier, but then maybe we warmed their hearts a little bit with that too. But there's a flickering spark in us all which, if struck at just the right age, I think can light the rest of our lives, elevating our ideals, deepening our tolerance and sharpening our appetite for knowledge about the rest of the world. Education and cultural exchanges, especially among our young, provide a perfect opportunity for this precious spark to grow, making us more sensitive and wiser international citizens through our careers. 22 years ago, President Eisenhower, father of the People to People program, as you know, said that the beginning point of all cooperation between individuals, between groups, within a single society, or between nations is genuine human understanding. We'll never have we needed this vital ingredient to peace more than in today's world. Since World War II, the United States has developed many excellent programs for students, scholars, youth, farm, and labor groups. They depend on the cooperation of thousands of American families and hundreds of schools, universities, and volunteer community organizations, and many of these are represented here today. Still, the total number of young people sponsored by our government is relatively small, especially when compared to sponsored programs of the Soviet Union or even of our allies, West Germany and France. Early next month, I'll go to Versailles to meet with our six major allies. Among both their young people and ours, there's perhaps less appreciation of the values we share than there was 20 or 30 years ago. The successor generations didn't experience our remarkable post-war cooperation and are less familiar with the ideals which motivated America than and which motivate us now. I believe that today we have a great opportunity to form new bonds through expanded exchanges among our youth from all sections of our society. If we're to succeed, if we're to build human bridges across the seas and into the future as an investment for peace, we'll need more private support and cooperation than ever before, and that, ladies and gentlemen, is why I invited you here today to forge with me a new kind of cooperation between government and the private sector, between profit and nonprofit organizations, between families across our land, and those abroad in an exciting exchange of our young people. Based on an expanded American program I plan to discuss with our allies at Versailles greater emphasis on these programs by all our countries. An ancient Chinese proverb says, if you tell a man, he will forget. If you show a man, he may remember. But if you involve him, he will understand. I hope we can make a beginning by involving all of you and wonderful families like the Fries and the Gozays here who are with us today in a vast network providing homestay, experience and other support for thousands of young people from abroad over the years to come. To make it work, our corporations, foundations, and voluntary organizations across the land will need to take the lead. I plan to form a presidential committee to advise me and to help Charlie Wick, who is my personal representative for this effort, help them find ways to stimulate greater private involvement across the country. I hope that today's meeting will open a new chapter in our efforts to build the broadest possible base for peace. I look forward to hearing or receiving a report from Charlie on the results of this meeting and the follow-up work. You have my strong support, my sincere best wishes in this new endeavor, and now at a terrible risk because I know that I'm getting a reputation for telling anecdotes. I'm going to tell one. I don't know why I just happen to think of this here today and thinking of the young people in the exchange and what our young people could do for us. It goes back to just after World War II. I was in England, and you think about these kids of ours being over there and the rest of the world being exposed to them. I was out in the countryside on a weekend and I wanted to see one of the fabulous, it was my first trip to England right after the war, and I wanted to see one of the fabulous ancient pubs and the driver that was driving us apologized when he stopped at one that was only 400 years old. He hadn't been able to find a really old one yet. But we went in and it was a mom-and-pop operation and the old gentleman there at the bar and matronly woman, she came and took our order and after hearing us for a few seconds and our talking, she says, you're Americans aren't you? And I allowed us how we were. And she said, oh, there were a lot of your chaps staged just down the road during the war. And she said they used to come in here and they'd hold song fests. And she said they called me mom and they called the old man their pop. And she said it was Christmas Eve and by this time she's not looking at us anymore. She's kind of looking off into the distance and her eyes are beginning to fill up. And she said it was Christmas Eve and we were in here all alone. And she said the door opened and in they came and they had presents, Christmas presents from me and pop.  Well right then I fell in love all over again with those big strap-in lads from Iowa and from wherever in America and you think about them over there I think they'd do a lot more than a lot of public relations programs to correct false impressions about the United States. So again, thank you all for being here and Charlie you tell me all about it. I have to leave.


The original impetus for the OSD data platform, for the forum itself, started with the major energy providers who were dealing with massive amounts of data that they needed to ingest, analyze, to display, and ultimately make very informed decisions, very expensive decisions. So the idea would be how do we harmonize that data, how do we ingest it, how do we search for it, and ultimately display it so that geoscientists can make sense out of that data quickly, efficiently. Under the open groups OSD forum, the ecosystem that participates spans the end-user, phone the operators, through the subcontractor, suppliers, the supply community, through academia, and also consultants that all work together collaboratively, and they work in a pro-competitive way. We don't discuss anything with pricing, with future predictions of products, or anything of that nature that's not public, that is, we don't discuss those things at all in the forum. We discuss those things that are important to the creation of the data platform. So the OSD forum is really preparing for the future needs of the energy sector by delivering innovation at scale. So that is critical. We know that to deliver the energy of tomorrow more reliable, cleaner energy, we're going to have to solve innovation problems at a scale that is hard to imagine. And so communities like this really help us to build on that and see delivery of innovation for the energy ecosystem. Standardization really matters for the energy sector because it is an incredibly complex business. So we have a tremendous amount of data that we deal with on a daily basis, and increasingly these tools are digital and they need to interact with these data in common ways and make it easier to share. Standardization is critical because the energy sector, especially in recent years, is facing a lot of opportunity and a lot of challenges and there's many different moving parts that are involved in this. So to me standardization is important not only to make sure that all of these different entities are able to align together, but it's also about understanding the needs of those entities and having a standard framework which people can engage with each other. It's not just standards, it's software and totally different pieces that fit together as well. OSDU forum members can get the most out of that participation by not just playing a singular role. A lot of people who join communities such as this, they come in in a consumption role. They come here to figure out what can I extract, what value can I extract out of this. But the real value is when you show up and you participate and that can be engaging in discussions, it can be writing software, it can be creating documentation. Just today we had all kinds of different ideas for ways to optimize and improve the OSDU and none of that matters unless people actually roll the sleeves up and get on with it and that's where the real opportunity is for them to see.