We are here because for the last 25 years we have seen the complete subversion of justice in the sense that after such a crime, not against a masjid but against a very constitutional India, you have a government which has just openly declared their intent to build the mandate. And till now for 25 years, those responsible have not been perished. In fact, by doing the misdeeds of that masjid, the Bhati-Janta Party and the Sankh family wanted to say that this country is only for Hindus. We will remove the names of Muslims from this country. They saw the masjid as a symbol of Muslims. And they said that today is Ayodhya and then Kashi Mathura is left. Today, they have come to Taj Mahal. If the Masjid of Babri Masjid has been done by the Hindu community, then the community will be destroyed today. Whether it is Akhlaq, or Junaid, or Pehlukhan, or Umar, or Zafar Khan, they will be killed again and again. The fight against the justice of the Babri Masjid is not a fight for any part of the history. It is a fight for our past cult. And even in the coming days, if the Babri Masjid does not get justice, and after that, what happened in the whole of India and before that, what happened in the whole of India, a series of events, a communal incident happened in India, whether it is the incident of Meret Kamalwana, the incident of Bhagalpur, the incident of Gujarat in 2002, all these things come from the same politics. What do I mean? The mother of Hindus and Muslims, when these two are created, then we are created, then India is created, then India is created. If you want to separate these two, then this country will be saved. Today, the country will not get justice, and the people and the Babri Masjid will not be affected. This is our responsibility and our responsibility to put pressure on the government. It was 25 years ago on this day that Babri Masjid in Ayodhya was demolished. Even though the incident took place two decades ago, the memory of it is still alive in people's minds. And today, thousands of people all across Delhi have come out on the street to take a stand in defence of secularism and to mark that unfaithful day.


The following is a presentation of TFNN, the Tiger Technician Hour with your host, Basil Chapman. Call now toll-free at 1-877-927-6648. Hi everyone, Basil Chapman on this Thursday, Thursday October the 14th. And what we're looking at here is the Dow has really held beautifully on that nine and fourteen period exponential moving average. The Magdeir is good, the stochastic is really pretty sluggish at 55, unbalanced volume is terrible, but this is a very good percentage move up 1.11 right now percent. 376 points up, 34,757. Yesterday, intraday, we slumped down under 34,200 and now we are 500 points higher. That's how this market has been. Now let me just explain a couple of things. And this is what I'm going to be going through in my webinar coming up on Tuesday, the 19th, four o'clock Eastern Times archives. If you can't be there, you can still listen to this for subscribers. So you can become a subscriber, you can become a subscriber, get my newsletter, you can get the go to my archive, the archive webinars that I've done on the different techniques. And if you're unhappy after 30 days, you can get your money back. So what we are looking at here is one of the reasons why I want you to remain long from that low that was made back in, let me just keep going back here. The day of the 23rd of March of last year in a core position, I've been taking two little bits off, is because trying to find the bottom, getting out and then getting back in is really tough. So what we've done, we've shortened since we got that just about the exact top and the 35,000, I think 400 area, the high was 35,000, sorry, 35,480, I think it was 35,631 was the all-time high. And we've had long positions. The last two to three days have been really tough to have the long positions because of those sharp pullbacks. You could be right for a little bit, take a little bit of profit, but then it pulls back lower. This is going to be really important. Why? Let me explain a couple of things. I have a particular technique that I use that I talk about very often, and it says a rectangle formation can last a lot longer than your patients. Look at this. If you look at the Dow from the May high of 35,091 down to the low of 33,271 just a month later, look what happened. Yes, we went to 35,600, 600.5, 590 to 600.5. We came right back and we've been in the trading range for most of this year in the Dow. So that's what I mean, that you've got to be able to strategize and sometimes it works, sometimes it doesn't. And what we've done now is, for subscribers of opening call, we are out of any short position. We have long positions and we're starting in the strategy that I'm looking at for what could work for the next two months, three months going into 2022. And remember, my theory is that in the Chapman methodology, once you get a buy signal that's upgraded to a buy mode, it doesn't matter what time frame, it should go to at least four higher peaks, A, peak B, peak C, and peak D, the fourth high peak. It can then recycle and go even higher, but the core fundamental premise is that when an upgrade is made, the price should go to at least four higher peaks. That's where you've got to become a little cautious. It can go higher, but that's where you have to do some other homework. Well, if that's the case, the Dow has made a peak D. It's stalling here, but it's still within a couple of percentage points of its all-time high, just a thousand points off the all-time high, not even that. Look at the answer and it's just about to bump into the resistance. So the select angle formation here that I've identified can continue for a while longer. And every time you think, oh my God, this is fantastic. It's about to break out. What happens?  And here we are in the middle of the range. So keep in mind that a close above $35,150 at any point in the next, I'd even say next week, would be a positive, but it's really $35,400. This is, you know what, we might have made a low at the $33,630 level back on 19th, I think it was the 19th of September, maybe not the low, but it looks like it's, it could be a solid thing. And that's the way we're looking at it. Next thing we're looking at here is key support is in that $33,700 to $33,600. Just make it as simple as possible. Now let's go to the S&P. So the S&P is trading now, it's just breaking above that resistance, trap weight, inside track, repellent zone. The MACD is good, stochastic is really not really good at 48%, but it has crossed positive. Unbalanced volume is really weak. So either you say, oh, if unbalanced volume is very weak, we wait for it to get to the highs, that could be spectacular. All you say, wait a minute, it's not demonstrating support. That's the number of days, or in this case it's daily charts, a number of days where the price goes higher, you add up volume and when it closes low, it's a running total, you subtract. So in this particular instance, it hasn't been great, but that's also because it's been in a very strong sideways move and that's where you can get the unbalanced volume. That's how I use volume, kind of stuck. So it's really important, we're at almost the high 44.19, we're almost at the high of the day. If it's able to get to the 44.22 level and then 44.28 and then 44.33, these are levels that I'd be looking at and I'd say, hey, the higher you can go in this particular move, the better. Otherwise, expected within hours to a couple of days, something's going to happen where it says, uh-oh, failure pattern and a sauce on its way down again, just back into the range, that's all we're looking at, is that so far it's just trading in a range, the weekly chart is not very good, even with this rally today. To get good, it really has to be in the 44, I'd say 44.60s. All right, it can happen. There's just no question that it can happen. We're very oversold in some areas and you've got, look, when you get to the QQQ, look at this, the QQQ has been hammered from 382.78, this is the index 100, down to 354, splitting points, it's almost a 10% correction. There's no reason why we can't at least have an attempt for the first time in weeks to try to get to the Chapman Move inside track repellent zone right there. All right, and if you're able to do that, you'll see something really, really good going to early next week, if we're able to look at the 370s as a trading, a trading level that's not only been touched, but you can actually see a close in the QQQs, because they are very oversold, the MACD is just today turned positive, the stochastics at 39%, that's terrible, on balance volume is terrible. So I'm treating this as a balance and the 9 is not even close to crossing above the 14 period moving average. I forgot to look at that in the S&P. No, it hasn't crossed positive yet. I forgot to look at that in the Dow. I think it might have in the Dow. Yep, today, the day's young was so far is crossing positive, but it's a daily chart, you have to wait for the close. Look at the IWM, the Russell 2000. Strong move where? Right into definitely inside track repellent zone. Remember, these are techniques that I'm going to be teaching and showing and demonstrating on Tuesday when I do my special revenue office subscribers, it'll be 4 o'clock to 5.30. And send your questions there to me, just for subscribers, but sending your questions down to you. We'll be back in a moment. We're going to look at the $1 euro we'll be back. Are you looking for a way to consistently add winning trades to your portfolio? Tom O'Brien is here to help. 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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. One of the reasons I was talking about this the other day and one of the reasons why I said I wanted to get subscribers back into its gold is because it seemed to me that the dollar wanted looked like it could be topping out a little bit. It was still very strong, but the fact that gold was holding so well and made this particular pattern, this particular storage information that has the chance to go as a one-to-one to the upside.  This is a propeller shaft downward and this is the way on the upside and the MACD was improving, the stochastic was improving, unbalanced volume was improving, everything was looking good. So this is a nice move up for at 1799. Now the big thing about it is that I've got this trend line that worked beautifully when we're looking at the downside for the GDX which is the gold which is right there. This is the weekly chart. This is a pattern that I discussed and another one of those techniques that I'll be discussing and let me see if I've got it right here. So I look at a pattern very often and it makes higher highs and higher lows and then it comes down and it forms what I call a chaplain wave. I actually drew this in and I took it out because it was getting so messy. I don't like messy charts but you think this might be messy. I don't see it messy. And then what happens is you make lower lows, lower highs and much lower lows and then eventually it forms a kind of a base of support and it runs up and breaks that trend line resistance and you can go one to one to the upside. Well that's exactly the same thing on the downside. Look, I discussed this in great detail over the last many, many weeks, months in fact, that the gold had come down sharply. This is the weekly chart and we had seen it in the daily chart and did it a number of times. Now we're seeing in the weekly chart, I said higher highs and lower lows or much higher highs and lower lows. Much higher highs and higher lows and then it stalls and it starts to turn around and it makes the exact opposite. Remember, look, this is upside down. The whole thing's upside down and therefore you can break and you can go down but if it can go to a peak A, B, C, D all the way to the fourth high peak, usually that says it doesn't have to break the left side low. It could, but it doesn't have to. But it's underneath this trend line and that trend line is really important. Whoa, wait a minute. Do we have that? We have the exact same thing here and what happened is in this particular instance, it almost exactly went to a fractional lower low from the march low in the gold and in the, what was it, under 16, 17 I think, and then it had a retest right there and it ran up and it broke the resistance line and then it formed a dreaded H and that H was successful because it had a higher right side high than the left side low and that's it. Be careful. So all of this fits in the pattern that we're looking at here and it says good. Now gold can rally. Well, now what I'm looking at is in the monthly chart, yeah, it's okay. But in the weekly chart, this is what we have to look at because the former support level will become resistance and that says if the weekly chart of gold, let's go all the way to next, we can get to 1832, no 1834 to break above that blue rising trend line, that's going to be really important. Number one, number two is if there's a stall right now because it's gone above the 9 and 14 period moving edge, that'll be a pity. But if it's able to hold into for two weeks, if gold is able to treat 1780 to 1775 as support and just start to make higher highs and higher lows, all of a sudden that weekly MACD is going to cross positive for the first time in ages. I mean cross positive it did just briefly and deflected lower but hold very nicely and the stochastic can finally get to the 58, 63% level or even higher, that's going to be getting on balance volume is good. So with that said, support is 1780 to 17, let's call it 1772 on a short term basis. So far this is really nice action in gold. You're looking at Slovo which has a slightly different chart formation. It's in a very steady stair step move, peak A pulls back, takes time, peak B takes two days and then goes to a leg C and that's what we're looking at here. But it's this ugly bar, the bar of September the 16th, makes a high of 24.00, a round number, pulls back to 22.585. That's the bar that it has to tackle and it needs to close above that high of the 16th which is at $24.00. If it closes above that it says not only have you made an inverse head and shoulders right here, but you've made the cup formation and Slovo will then also be in play in a big way. And it has to hold 22, I'd say 50 to 22.20 on a shorter term basis, it's a close below that says nah, nothing to see yet. Otherwise at this particular point very nice action up 23 cents at 23.40. Let's just do this quickly. The dollar is pulling back still way up in the highs at 93.96 will remain long the dollar, remain long gold via the GDS. Let me just show you the GDS. Same pattern, look at this nice cup formation leg C. It's only an A and A's can fail, but look at this one to one to the downside and the gold miners vectors ETF. So far this is very nice action. Look, this could even be a Chapman wave squash. We'll see if that occurs. Circassians at 86% are the Magdeese strong nine period crossed nicely over the 14 period moving average. Nice cup formation. I thought I drew this in. Maybe I'll do that if we get a break. But at this point, let's just say it's acting very well. This is kind of like an inflationary trade if you're looking at it that way. All right, I've done that done that USDJPY. This is the Japanese yen should be pulling back here and low and behold, it's made a peak seed might have one little pop to get a leg D and then this could start to digest gains, but it's still acting very well. It's actually acted in many ways from 109 to 130 and acted better than the dollar in certain aspects, certainly the weekly chart, but they used to go in the same direction, not the same percentage gains. And if you're looking at the EUR, USD, the euro dollar currency pair, there should be a nice balance. You see now this is the difficulty. We've got a trough F, a trough G, alternate count G slash C. Just for the moment, I like to put in to explain exactly what I'm looking at. So we're going G slash C. And what we've got here is a single leg A to the upside. Not great. So my suspicion is that the weekly chart that I show you the inside track propellant, right? Yeah, the inside track propellant zone, that's starting to work, but I just don't know yet. I think gold. See, I spoken about this some time ago. I said, think of Dolly, Vixi, Bondi and Goldy as four separate units now. Try not to put them together. So gold is, this is a really good take off, but we have to treat it versus a take off and see if it holds.  We don't have the intermediate term trend yet. Dollar has had a huge move. Currencies take a long time to really turn around to change the tide. Okay. So, and there's still on the upside. Bondi. So let's look at the TLT. This is a nice bounce off the low, but so far you just have to treat it as a bounce off the low, trying to get back into the dreaded age pattern of the weekly chart back into that range. About 145, it's called a 146. And it's at 145.39 right now. Okay, action. Magdi did cross positive. Stochastic is very weak at 28% on balance terms. Okay. So what we're looking at here is I suspect that bonds are stuck in a range. So in a sense, you're looking at the three units that is gold, rally, bonds, bouncing. You've got, it's a goldy, bondy dollar. Dollar is still good, but you just bring back a little bit. And Vixy. Look at the Vix index. Wow. This is something. It's just made a dreaded age pattern and it's down at 17.42. I'll be back. Are you having fun trading the markets, but having trouble finding like-minded individuals to discuss your trading and investment ideas with become an apex predator in the trading markets and join the Tiger's Den trading room only at tfnn.com. 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The next big move will come when the VIX index at 3 o'clock, any often in this eastern time, an hour before the close, is trading in the 20.85 to 21.10 area. Then you've got to be really careful. And if it closes there for two days in the 20s, that says, uh-oh, now we're going to have another move towards the lower part of the trading range in the market. That's just a simple way to keep it in place. So I needed to do that. Oh, crude oil, crude oil is, every day you could say it's making some kind of a top, but actually just make it as simple as possible. The stochastic is flat at 85%. The MACD is really strong. It hasn't crossed negative yet. On balance volume says, yes, it is a little bit overboard. It should pull back. But until there are trades, two out of three sessions, it actually trades under 76, uh-oh, did I say six? I mean 77. Under 77, the bias is to see buying going into crude oil. At some point, we'll get a digestive phase. This is spectacular action. Look at the leg and the weekly chart. Look at that weekly chart. And look at the monthly leg D, very strong. Trying to get to the all-time high of, not the all-time high. The high of 2018, was that 83 something? I think I typed it in. There it is. Yeah, 80, 86.26. Huh, why did I type that? Right, 86.26. So in the meantime, back at the ranch, question I had, I'm sorry, I had it there. I was ready. I even did it during the break, and then I completely forgot to come back to it because I get all so many questions in the den and the target, Tiger TV, et cetera. So it was on the telephone. In fact, I think it might have been two days ago. And I meant to look at it. And what I was going to say is AT&T, at this particular point, the way it's broken down, suggests that you've got to treat it not as a dividend play. You've got to treat it only as a trade. And I think that was the question. And I'm sorry, I didn't get to it yesterday because it plummeted. It's been, it was in the 27, 28 area for weeks. And then all of a sudden it plummeted, broke key supported 2690 and it went kaboom down to where 25.01, missed the round number low by a penny yesterday. And I'm even yesterday, I was going to say, I would not do anything other than to trade this. And I think I couldn't find the question. I'm sorry. And I think the question was more looking at it as a dividend play that basically the question that said it's been so terrible. And I can't remember if they said they've been long for ages or whether they were looking at it for ages, but it's been such a terrible participant. So for subscribers, I've been looking for it used to be that you could go to the telecom, you could go to Verizon or AT&T or Comcast, something like that. And that was a nice dividend and they had really good year after year levels of higher highs. And all of a sudden, everything changed like even Verizon is trying to make it low. I think the competition, I think a whole bunch of things are coming into play. And that's the reason why I said I was very negative for ages. I've been trying saying, I can't look at this. And it turns out that the multinational oil is actually the place really to be because we've had such a spectacular move. But I'm going to say only as a trade, if you're looking at telephone, I would have preferred if I did it yesterday, because I was going to say, why don't you nibble? It was in the 25, I think at the time, 2540s. I was going to say just nibble here, but I'd have no more than initial one point stop. And the moment it took out today, that would have been yesterday, today's high. If you were in it, I would raise the stop to the day's low and just and ride with it. Well, that was yesterday. And today it's up 1.78 percent, up 45 cents and 2575. I do not like it. So I'm looking at my other computer over there, because I'm talking to whoever, I'm so sorry. I tried to find it again last night. It was right there. Whoever asked me, I can't remember if it was a subscriber or is this someone in general, whoever it is, I appreciate your questions. It's a good question. So only as a trader, trading at 2574, I think it can bounce to 2623, 2650, the 940 period moving averages. And that's the big test. This particular patent, when it's come down in a one to one of the dreaded age patent, you've seen, look at this. Let's go back to what's it gold or was it the GDX? No. Oh, where was it? GDX? Why am I thinking of this? Oh, there it is. Yeah. So you guys, you're one to one. There's your arch formation in the GDX and it comes down with a one, more than a one to one from the high, the 30.69 low of about the 16th of August to the early, the 5th, 6th, and 7th of September PD. And that 30, 30.69 to the 33, 30 area, 3310 area, you get that same over two point pullback and look what happened. It went to 2883. So the T, there it is, has the same, it's gone even deeper. So other than just a trade, but I think you were looking for it as a dividend play. No, no, no, no, I couldn't do that in good conscience because your four, five, six, seven percent dividend could be wiped out with another quick sharp decline. Just be careful. Maybe this is the perfect time for it. But I'm saying looking at the chart, the risk is really high. I hope that helps you. That's with the T telephone 2573 up 43 cents. Now, if you only wanted to play as a trader, this is a completely separate question. I've misinterpreted it. Then right here, you can start a position 2573. I probably would have no more than a 35 cents stop, tight stop, and then let it run. And if it's able in the next three days without taking out your stop, if it's able just to sneak above the high of the 12th, which was 26.03, I'd immediately raise my stop to at least 15 cents gain, just a small gain, and let it ride. And I wouldn't add to it. I treated it just as a starter. I thought I heard 8 percent. I couldn't believe it. For an 8 percent gain, I don't want a 12 percent risk. That's just making it as simple as that. And right now it's in the bottom. It could actually trade for the next three to four weeks, not taking out the low of 25 from yesterday. It could move higher, but it might not go very far, but it could just hold sideways. I've seen that happen as well. In other words, I'm going to draw this in in the weekly chart and say you could very easily see some kind of a rectangle formation trying to get back to the upside before it does some testing again. Well, hope that helps you. Next question I had was a Goldman Sachs. So Goldman Sachs is trading down 54 cents at 385.77. Remember I drew this. I'm pretty sure I showed this recently. I made a high on the 12th of August at 418.62. It comes down a single leg and goes back, makes a nominal new high at about 420, just over 420. Let me see what it was because it was a double top. So it goes 418.62 down to 390, and then it spikes up to 420.73, retest the next two days later at 420.76. Oh, FG. And actually I didn't even see that. I think that was an F. It goes to a peak G on the roundabout the 25th or so of August, and it comes tumbling down to the 374 level. Yeah, I'm saying hold off. I'm putting this in the category of hold off because the general market is in a big consolidation. Are you in the market for buying or selling real estate in the Bay Area, including the surrounding St. Petersburg, Tampa and Clearwater markets? Tiger Real Estate LLC is a firm that has extensive experience in the Tampa Bay Area. Whether you're looking to sell your current property for maximum value, or you're in the market for a second home or investment property, Tiger Realty has the experience across all areas of real estate in the Tampa Bay Area to help buyers and sellers make the most informed decisions across all price levels. 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To obtain a Perspectus or Summary Perspectus, please contact Direction Shares at 866-47675 23. The Perspectus or Summary Perspectus should be read carefully before investing. An investment in the funds is subject to risk, including the possible loss of principal. The funds are designed to be utilized only by sophisticated investors such as traders and active investors. Distributor, Four Side Fund Services, LLC. And we're looking at Sabah, which is Kasabah Sciences. It's up $1.80 at $56.79. And what I'd say is it's in this kind of sideways range. $56.91 is right at the 200-period expenditure moving average, but it's above the $9.14. Magdi's good stochastic is really lagging, so is the on-balance volume. Relative strength has started to improve. So all I can say is if you're long, I would just hold on. Be prepared that this sideways range can last quite a while. But that doesn't mean to say 50 to 66 is, I mean, right to moving averages as a resistance. That's a huge percentage or a drop from the 56 level back to Tesla 5048 area. That's a big percentage. So just think of it. This is a bioscience. And I'm just going to say, as a bioscience, you have to wait for news to come about. And then it really moves. So you just have to be on top of it.  I'm holding this. That's just the way it is.  And the next thing you know, it has this newsletter thing and it's sourced to the upside. So if you've done your homework, it's in your biotech area that you like. I'm just saying, in this particular case, it's more likely to take a smaller position and you try to make a really wide stop. You'd have some kind of stop and then you just let it play out. And that's all you can do. But in terms of timing, I said about three days ago, it's getting within between two days to maybe early next week, just the time, the line that it usually takes before it suddenly has a spike, that could happen at any moment. And it is three green candles, very small move, not percentage wise. That's 10%, but just chart wise. So that's what I'm saying there. Next question I had was, could I look at Block, BLOK? This is Amplified Transform Data. I think it's sharing is the name, trading at $0.48 up to $0.26. This is a peak, look, peak A, Chapman Wave, I'll show you how to do this when I do my webinar on, there it is, on Tuesday. So from the low that was made back in July, it goes A, B, we're always looking for at least a C and there's your D. And then what happens is, it comes in with a small gray A, gray B, underneath the previous high, and it spikes to an E slash C and turns out that it's an E. Then it pulls back very sharply, announcing a brand new bottom. I just think this is in a range. So at $0.48, $0.88, I think the range is between $50.60 and key support in $0.47 area. I just think in another five days, we'll be looking at this. I think it might just be stuck right about here, even though it's bounced around a little bit, but it's building a base in the weekly chart with the higher highs and higher lows that says, if it's able to close at $51.50, close that is, even though it'll be probably a leg D, if it's in quickly, coming off the Georgia period moving average, I can suddenly say, you know what, the cup formation is a very powerful formation. And that says, I now have a timeline, and I can give you that timeline that says that by about October the 28th, $51.50 would be a target, not yet the 53s. It has to do a lot of work to get to the 53s, but that's kind of the way I'd look at it. My thinking is it's just going to hold sideways for a little bit longer before it has a bigger move. All right. Next thing we're looking at is, I was asked about CLF, CLF is, Cleveland Cliffs, nice moves, gone to a leg D. Look at this, peak A, peak B, peak C very quickly and peak D in a very narrow range from 19 to 22. Yes, it's a nice percentage, but when you look at this overall chart, that's really just a tiny move to get to a D in so quicker time. So it says to me, watch the weekly chart because I can't call it an island reversal, but it's got a close look to it if there is something to do with the something that has some kind of talk that once again talks about infrastructure, et cetera, et cetera. This is Cleveland Cliffs flat roll steel trading at 2212 up 63 cents. This is in the wheelhouse of that particular zone of infrastructure, but this is not a great looking chart. And the weekly chart says, wow, it's got a lot of work to do to get rid of that Chapman Wave inside track repellent zone right there. Oh, it's just moved out of it. It does that on time alone sometimes. So we're watching this closely. All right. So yes, if you're all long, just I remember I said before, just keep this as a buy and hold with a nice stop. You have to widen the stop a little bit and see where it goes. Now a question I just had, Vazzal, would you help please on ESZ two hour chart with Chapman Wave counting Leg B higher? What does Chapman Wave suggest ESZ one likely to do next 12 to 24 hours? So that's, oh, that's the question of the day, right? So let me go, let me just go here and let's see. I don't think I've updated my, okay, I'm going to go to just for the moment. I'm going to ES, a continuous contract. Yeah. So that is a huge leg B to the upside from the low that was made at 43.20 at 12 o'clock. It was yesterday on the 11th and today's already the 14th. So you've gone peak A now a parallel high of 43.7150 for two bars. No, no 41 note that continued higher. So this is leg B. Either way you counted, you can count it with the ESZ 21, which is the current E-mini contract. Wow. Everything about this suggests that there should be, it doesn't, you have to use different techniques to say where, but it says leg B in the 120 minute chart, the two hour chart, the bank, these goods, the castings flat at 97% on balance point is a tad overboard saying, Hey, in the next 45 minutes to an hour and a half, you could have some kind of a pullback, but definitely you, I don't want to change the rules.  Now most importantly, the E-mini is going for a leg B. If it can go above, this is the December contract, above 44.2150 and the high today is 44.1400. Let me say that again, 41.2150 and you're in the Chapman Wave inside track repellent zone. This is a little different to the other ones. This is not a single leg A up in a sense because you've got that pullback that made a higher low. You want to see and you've got yourself those three beautiful trending. This is the reason why I kept wanting to buy the diamonds over the last few days because you had the lows that were making slightly higher lows in a beautiful little mini channel. So far up 48 in the Dow, up 59.70 in the cash S&P and 59 in the E-mini contract, data contract. Look at this. So the reason why I want you to just go to the ES continuous contract is there, I've got the weekly that goes way back. I've got this to, I now have to go back and say this is a potential G slash C always, this is a G. I don't know. The mag D is weak, but look, the nine period moving abs is still above the 14. And that's the day, but your question was on the 120. And my answer is yes, this is leg B, they should still, it doesn't, you could even get leg B occurring within the next 10 minutes, let's say. All right. And then you get a pullback going to the lunch hour or at least through Larry's showday because of Enter. And then you get just a nominal leg C, a pullback and nominal leg D. And then you could pullback says, don't tell you, or you could get a one to one measured move from the 203 moving average game from 43.20 to 43.70, let's say, and then double that again. So I'm not saying how high I'm just saying, yep, this is leg B. I'll be back in a moment. Sharpening your skills as an investor is like getting better at playing a musical instrument. You have to practice. Sure. But you also need excellent instruction from experts at TFNN. You'll get advice and guidance from the authority and technical market analysis. And it's not just dry, tedious text either. TFNN airs live financial content streamed live on TFNN.com and TFNN's YouTube channel with Tiger TV live every market day from 8.30 AM to 4 PM Eastern for free. Each host is an experienced trader and gives their take on the market while taking calls and questions live from around the world. From the moment the market opens until the closing bell sounds, Tiger TV has eight different shows with expert hosts to help you make the right moves with your money. Watch online at TFNN.com or on TFNN's YouTube channel and become the investor you were born to be, TFNN, educating investors. You might think that if you want to be successful at trading in the stock market, you're going to need a crystal ball. After all, it's impossible to predict the future, right? Like any endeavor in life, before you decide it's impossible, get some advice from the experts. You might find that it's not so impossible after all. For daily market overviews that give you direction on the key in disease, selective stocks and commodities, subscribe to the opening call newsletter at TFNN.com. The opening call newsletter is written by Basil Chapman, creator of the trading methodology known as the Chapman Wave. The Chapman Wave up-down sequence gives you an edge in identifying price turns, finding the peaks and valleys in stock prices.  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. TFNN.com, educating investors.  The Tiger First mortgage program may be the program for you. The best rate on a five-year CD in the country right now, according to bankrate.com, is paying 1% per year or $1,000 per 100,000 invested. The Tiger First mortgage program pays 7% per year, paid monthly, on secured, high-value, billable properties in St. Petersburg, Florida. The investment is for four years, paying 7% per year or $7,000 per 100,000 invested. Your investment is secured by high-value real estate in St. Petersburg, Florida. Your investment can be anywhere from $100,000 to $500,000. Do you want to make $1,000 per year on $100,000 invested or $7,000 per year on a secured Tiger First mortgage? The Tiger First mortgage program may be just the program for you. The Tiger First mortgage program pays 7% per year, paid monthly. For more information, you can call<PHONE_NUMBER>. That's<PHONE_NUMBER>. This segment is brought to you by Think or Swim. For more information, just click the Think or Swim banner on the front page of tfnn.com. Hi, folks. We're back, and we're looking at DEA. The question came in. How about this, dear? DEA has been in a beautiful rectangle since February. I would like to take a long position here right now. Thoughts, thank you. So, wait a minute. The rectangle formation, this is that dreaded age, but it took it out and did almost a one-to-one to the day. It is a one-to-one to the downside. Now, this is a little different to telephone, because telephone, I think AT&T has intrinsic problems. DEA is kind of caught in the caterpillar and DEA, although they're slightly, they do different, their product line is a little different. They often have the same chart formation. So, I'm going to suggest that rather than say, this is going to do whatever it is, just say, look, DEA has been acting even worse than caterpillar. This is a fabulous candle today, but we've seen this before. It has a big green candle, then it just gives it up the next day. This is what I'm going to suggest. It seems like you've done your homework. Yes, this is a rectangle, beautiful rectangle between 400 and 321. In the weekly, then it did the dreaded, the arch formation. It's held the left side low. It took it out by a fraction 320, 2190, back in May, I think it was, or June, and it runs all the way to 390s, and then it comes back to days low, 320.50. Why not do this? If you use options, that would be one thing, but you don't. So, I'm going to say, start a small position at 329 right now. This is like a start a feeler position. And we'll follow it. I'll do it again tomorrow and then maybe on Monday to see, because it's really, I agree with you. This is the area that should work very well so far. It's not doing very much, and today's a great candle, but the day's young. Anything can happen. But I'm saying, I agree with you that as a tray, there's a good chance that it could bounce between 330 into the 340s, and then you make some other decisions. Start a position right now, small. I still have a three-point star, but I wouldn't at 1%. I wouldn't make it. You can make it a little bit more. So, start your position. So, folks, you've got Larry Prisman, coming up to another wonderful show with Larry. Great show with Steve Rhodes. You've got Dave White, also wonderful technical analysis coming up, and you've got Rapsit up with Tom O'Brien, what more could you want? Check out the front page of TFN. You'll see my webinar coming up to teach the advertise. What's going to be the coming a few months going into


Hello, everyone. I'm Kimo Nasotirjos and I'm a software engineer at Arcto and also a lead at the notebooks and manifest working group and also the release manager for Kubeflow 1.4. And I'm Andrei Vilichkevich. I'm a software engineer in Cisco and I'm the lead of AutoML and Training Working Group in Kubeflow. And we're really excited that we are part of the Kubernetes AID and thank you for joining our talk. And today we're going to talk about how we went around developing and scaling our Kubeflow's web applications. But before we start actually discussing about the applications, we'll need to learn a little bit more about the users. And in our case, it's an entire ML team which will have different roles that will need to play together to have an efficient workflow. We'll have the data engineers that will be handling the initial states of the data. We'll have data scientists as well as ML engineers who will be taking this data, analyzing, creating the models, training them distribute in a distributed fashion. And then we will also have DevOps because we're Kubernetes who will be helping along the process and also taking care of model serving. And all of this will need to be able to happen in one cohesive platform with some intuitive UIs. And in this presentation, we're going to see how did we go around with Kubeflow to build such a platform that will have these three pillars, which is team isolation, scalability, and user experience. So the first one is team isolation. And since we are building a platform on top of Kubernetes, the solution here is we only rely in namespace isolation which means that different users and teams will have their own namespaces and they will be using RBAC, which is Kubernetes native, to control what entities will have access to which resources. But let's take it one step higher and see how can it work from a user's perspective when they're at their browser. A user will just send a request, for example, they would like to delete a notebook, to a web application living in the Kubeflow namespace. And then the web application will perform an action like delete the actual notebook on behalf of the user with the permission it has and with its own service account. But here there comes the first initial question, which is how can I ensure there's namespace isolation and RBAC is being respected if the web app has permission and can do anything it wants? Well, the answer here is with subject access reviews. Subject access reviews the same mechanism that Kube CTL, OAuth, Kennai is using under the hood in which we can ask Kubernetes if a user has permissions to make an action on top of an object in the cluster. So the backend can create the subject access review and be sure that the user is indeed authorized by RBAC to do the action they want. But this also then raises the next question, which is, okay, how can the web app know which user is actually connected and doing the request? The answer here is with HTTP headers. The web apps will expect that a specific authentication mechanism, whether this is, for example, Google IAP, will be in front of the cluster and ensuring that there's an authenticated user and setting this user identity into specific headers. And to get this all together, we can also do it by a complete open source solution by using DEX. So a user will be connected to Istio's Ingress Gateway, which will be working alongside DEX for IDC. And ensuring an authenticated user is doing all of the actions with the web apps by respecting RBAC. So the three things you need to remember here is that we have namespace isolations for users and teams. We have always have authenticated users. And we are using subject access reviews to ensure we comply with Kubernetes RBAC. The next part is scalability. Well, the cheat solution here since we're at KubeCon is we're allowing Kubernetes for a lot of scalability. For example, and this has to do both for the actual ML workflows as well as the web applications. It will have a lot of requests. Then we just spin up more pods for our web apps, which are restful. But at this point, I'd like to also discuss the scalability point of view from the web apps. And what we had to do to actually scale our web apps when we have hundreds of requests coming from hundreds of users that want to do things on top of thousands of Kubernetes objects. So how can we do this efficiently? I'll just focus on how can we actually keep on fetching the data and have another reference mechanism here. And what we currently do is exponential polling. So we ask for new data every one, two, four, eight seconds, as long as the data is stale. But once we have new data, then we reset the counter and start asking more frequently. But this has some drawbacks like the user might wait even 32 seconds if there's no activity on the resources on the list of objects. Or on the other hand, if there's a sudden change, then all of the hundreds of users will be asking for the same data with consecutive requests, which can result in a lot of load. One future improvement we've considered here is to keep the simple polling mechanism every request every four seconds, for example. But the request will be a simple head request and it will be getting only the resource version of the latest list object in Kubernetes. And only once the resource version is changed, then the UI will do a get request to get the latest data. And we can even do a slightly better optimization here because even in that case, we might be still getting thousands of objects in one request, but we can actually use Kubernetes API chunking to cut these requests into smaller pieces so that the load is less on all of the components and we can have data more easily to the browser. We've also evaluated other solutions like WebSockets or server-side events, but since we are a little bit tight on time, we can discuss more on this on our Q&A session. And last but not least is the user experience part. And it's really important for us because in Qflow, our targeted users, while they are working on top of Kubernetes, they do not have experience of Kubernetes or we cannot assume that they have. So our users, the ML scientists only know how to do their specific ML tasks and user algorithms, but we cannot expect them to be able to kubectl logs to see the logs or kubectl describe if something goes wrong in order and be able to debug it. So our web applications will need to be able to provide all of this information in a user-friendly way while at the same time layering this information so that the more machine learning information is exposed to the user first and the more advanced Kubernetes concepts are also shown but kept for an advanced user. But because I can't just describe a UX with words, you will need to actually see what we talk about and in order to see if you'll also need to understand what are the requirements of an ML scientist and what do they actually need from such a platform. And to further understand this, Andrei is going to walk you through what does an ML scientist do and specifically how can they do AutoML and how can they do it on top of Kubernetes and with Kubeflow. So Andrei, back to you. Thank you, Kamonos. So I'm going to tell you a little bit about what is AutoML and how do we solve this problem in Kubeflow. So AutoML is the process of automation machine learning tasks. And especially here in this page, you can see the landscape of AutoML where users can provide the training data in the configuration space similar to the search space description. A search space can be differently depends on your task. So it can be architecture, it can be hyperparameters, it can be features, and all this configuration can pass to your optimizers based on an algorithm, for example, Bayesian optimization or neural architecture search algorithms, and then optimizer provides a configuration to you. Then we passing this configuration to the model with the test data and push this model to production. Covering AutoML covers a lot of different aspects such as feature engineering, model compression, neural architecture search, hyperparameter tuning, and we try to adopt all of these features in a cloud native way in Kubeflow. So how do we solve this in Kubeflow? We have a project called KDEAP, which is Kubernetes native open source platform for AutoML and this project includes in Kubeflow distribution. So which is a very good part of this project since it is built on top of the Kubernetes. It is agnostic to machine learning frameworks and programming languages. So you can tune your hyperparameters in any languages. And also we have in place support for any sort of the Kubernetes CRD. So KDEAP can be used as the orchestrator on top of your Kubernetes customer resources. Also we support famous optimization frameworks such as hyperopt, optuna, sqopt, and many more. We continually evaluating with supporting new algorithms and also our researchers can use our platform to develop and evaluate new AutoML algorithms. Since this platform is language agnostic and also since it built on top of Kubernetes, we can deploy KDEAP on local or public or private cloud. Also we have native integration with Kubeflow components such as notebooks, pipelines, and training operators. Going to KDEAP architecture, it's quite straightforward. Since KDEAP has the Kubernetes customer source, we have three different controllers. One is experiment controller, which is eventually takes the user experiment YAML and try to proceed this YAML, parse the information from the user needs. Then we have a suggestion controller, which is received the search space in the description for an experiment and also algorithm, increase the algorithm service when it's eventually the AutoML algorithm is running. Our AutoML algorithm can produce a hyperparameters or a new architecture based on the needs. And then we have a trial controller. Trial controller just spawns the trials where the actual training job is running. And since trial is an obstruction, can be any type of training job, we can define even the text on pipeline or even the Argo workflow in our trials. And then our KDEAP is able to actually parse the training results on trials. And then we send this matrix to the DB, and then we send the evaluation matrix back to the suggestion service and produce new hyperparameters. Speaking about the KDEAP, one of the example of our experiment, here you can see the YAML structure. So our users define the experiment budget with specific trial information, then they define objective, then they define an algorithm, and then they define the search space. We will see the more information in the demo that I will show you later. And here you can see the trial template. And since, as I said before, trial can be anything, you can define your specific specification here for your customer source. You can define the whole Argo workflow here, and you can set up your experiment with the preprocessing step, with post-processing step. So it's very powerful if you want to have some sophisticated hyperparameteric examples. And with that said, I will jump directly to our demo, that we show all of the UIs that we built in Kubeflow that Kamonos mentioned before. And I will just show how AutoML is working in Kubeflow. So this is the Kubeflow central dashboard. I think all of you are familiar with this central dashboard because we are trying to show every time our UI. And here the DevOps engineers can always see the CPU utilization, see the port CPU utilization, see all of the monitoring information that they want to reach from the scientist team. Of course UI is split across the namespace. So you can, as Kamonos mentioned before, you can easily adopt this UI for your huge ML team with namespace, isolation, and everything will be work. So here you can see the notebooks UI where you can define the notebook. You can choose the images from the predefined images. You can also define the CPU, GPU, the volume, where you want to take your data. And in the meantime, once you create the notebook, you can click the connect, and you will be in the familiar JupyterLab environment, which is everything built on top of the cloud. So this is very powerful because you can run the predictions. You can run the pipelines with your notebook. You can run training cooperators or KDP experiment. Then you can also create the tensorboard using our Kubeflow UI. This tensorboard is also a very powerful tool for the data scientists to be able to develop algorithms in a cloud native way. And you can also deploy your own tensorboards. We can have also like UI for the volumes, where you can monitor the volumes. And also we have the pipelines UI, which is basically the Kubeflow Pipelines project. And also here you can see all of your pipelines and pipeline runs, recurrent runs, and all of the functionality from the KFP. And then if we jump to KDP experiment, I will try to submit a new experiment to show how this works from the from the UI perspective. So first of all, we just need to define the name experiments. We will use the base optimization for this demo. This is the budget that I mentioned before. So you can define the number of trials that you want to run. Then you define the objective with your metrics that you want to tune. You can also define the all of the metrics that you want to also parse for the training containers. Then you select the search algorithms. We have a lot of algorithms that KDP supports. We will choose the base optimization for this demo, but you can also choose the list of the algorithms from the NAS as well. So let's just select the base optimization. Here you can see the algorithm settings, which also user can modify and adopt for their needs. Also, this is the Aristopic section, which can help you to avoid overfitting and very powerful. And you definitely need to use this in your hyperparametering experiment. But for this experiment, we just simply run one algorithm. And this is the search space. So in this example, we will tune learning create a number of players and optimizer. Also, of course, you can add the new parameters with the particular distribution. We support like integer, double, discrete or categorical parameters. You can edit the current parameter. You can delete them. And you can define your search space for the experiment. For the metrics collector, we support this is the list of the supported metrics collector from the KDP. We will use STD out. And this is the trial template. So eventually, we will use the default settings. So we are not going to change any information from here. This is a template that's where our training process will be run. And we are going to tune learning create, number of players and the optimizer. So we just need to define the reference for the particular parameters. And for the advanced user, we have a button which just produced the whole Kubernetes YAML structure, where you can define the object metadata. You can define some API parameters, which just forms the support and which these provide more functionality for the more like Kubernetes native way. So once this experiment is running, you can see that some of the experiments have been created before. You can see the time when it was created. You can see the number of successful trials, the optimal trials. Also, you will see the parameters that the best trial produce. And if we click to the particular example, you will see this plot, which actually introduced all of the distribution between different hyperparameters, all of the results and these parameters achieved. And also here at the bottom, you will see the overview of the experiment with the current status, with the best trial, with the trial parameters, and also the current experiment conditions that the experiment has met. If you click to the trial page, you will see that all of the trials that the current experiment was running. And if you click to the particular trial, we will see the distributions, sorry, the metrics that the category just collected. And you can always like monitor what's happening with your metrics in a particular trial. And also, which is very powerful, we highlight the best trial. And you can see the results with this best trial by clicking on the name. Of course, we have more discrete details with the experiment. So it's like, for example, like objective trials, parameters. And as I said before, for the Kubernetes user, they can always see the Java structure for the experiments with all the required information. I think our experiment is running. We're not going to wait. But here you can see in the lifetime how the parameters will be changed, will be changing. And also, you can see which trials are currently running and which trials were succeeded. So and last but not the least, I just want to briefly show the models UI, which is related to KF serving. And here I already like deploy it one inference to show which kind of the parameters you will see. So this is the one inference that I deployed before. And if we click to this inference, you will also see the overview of the inference, the current statuses of this inference. You can see the details of this KF serving instance. You can see the locks from the KF serving, which is very powerful. You can see the metrics. So these metrics produced by Grafana. And we can see what is the current status for our inference from the KF serving site. And for example, if I try to invoke this service with some of the predictions, and this is just a simple and missed example, and I try to invoke this service with the predictions, we will see that the metrics should be actually changed. And we will see the information that actually Grafana per use. So yeah, as we can see here, the request has been come. And we will see like the DevOps engineers can just monitor this page by doing this analysis. And with that said, if you have any questions regarding the demo, we'll just feel free to just answer in the Q&A session because we don't have much time right now, but I will jump back to our presentation. And the last but very important thing that I really want to mention about our community. We grow very fast. We have more than 12,000 commits and 22,000 GitHub stars on Kubeflow, which is very exciting. And we want to say thank you so much for our contributions. As me and Kamonis, we're part of the AutoML and notebook working group. We really want to, we want for you to attend our working group meetings. We have our like regular meetings every week. Please join our Slack channels that we mentioned here. If you're using KDIP in production, please update the adopters list. This will be very valuable for us to make the connection with the users. Also, please feel free to check out our latest presentations with the demos and with our latest summits. Also, if you want to contribute, please feel free to call the developer guide, the help wanted issue, and submit the new proposals. And which is very important, please feel free to check out our own labs for AutoML and for Kubeflow in 2021. And with that said, thank you so much for listening to us today. We're happy to answer all of your questions.