Educating Investors. The following is a presentation of TFNN. Now, Larry Pesavento. Looking good, Billy Ray feeling good. We're going to talk about risk here, and then we're going to go in to talk about platinum in just a little bit, but I wanted to show you a picture of the backyard here yesterday. Sarah was watching the man trim the tree there. You can look at the 30-foot ladder, and then on top of that, he's got another 30 feet that he's got to probably climb up to see and I just wanted to update you to show you what it looks like from his perspective and where he is, and then you're going to have to guess, you're going to have to guess what he gets paid for a living. That's the real key here. Hold on just a minute. The screen here. Share the screen. Change the window. Now we get this up here. We'll be able to see it okay. There he is up there, folks. He's about 70 feet in the air, and those of you that have been any round lumberjacks or tree trimmers like that, they wear spikes on their shoes here that allows him to go up and down, but he goes up very, very slowly and gets it done, and believe me, folks, you'd think it would cost a fortune to do that, but he makes a very, very small wage. He could probably do better working at McDonald's, but a very nice young man, and he does it. It's not dangerous to him, but when you look at him, you look at him go up, and he's way up in the air there, and he's way up there. So that's what I thought you'd be interested in. It's a whole lot easier to trade something. You get stuffed out often and do a job like that. Let's talk about platinum first. We had a very nice call from our good friend, George, and he wanted to talk about platinum, so I'm going to bring up the chart of platinum and then expand it a little bit to show you where we are. Here is platinum on the daily. You'll notice we had that big triple bottom down in that area. We had a big move down, and then from that, we've seen we've already gone above the 61% retracement, and we've had a really big rally, folks, just like we've had in gold. So this is a bear market with lower tops coming in here. In fact, what you're looking at now is a 135 pattern forming in the platinum, but let's expand it just a little bit for George to show you what I like to do is I like to go down to the smaller timeframe, and what we'll do here is we will look at it on the four-hour chart. By the way, Mr. Chapman knocked it out of the park yesterday. I understand on your show. I hope you had a chance to see it. If not, you can get the replay. Now, this is platinum on a four-hour chart. You can see the three drives to a bottom pattern down here. There's the key spot right here, folks. You see that first 61% retracement? That's really the key to tell. We've seen this in crude oil. They do the same thing all the time. It's just that they change the names of the players. But look at the 382 retracement that we had here. This market went up, and then finally made a 382 retracement, which was equal to the 61% retracement down, and where does it point to? ABCD, today's high. That's what I'm looking at in platinum. I hope that helps, George, but it looks like it's ready for a correction, much like the gold. Of course, we looked at gold yesterday with the ABCD at 1822, and that's dropped only about 30 bucks. It's trading at 1805 or something the last I saw, but I think we got more to go on the downside with the gold. We'll watch that one very close. Now, I want to talk about losing, because losing is very important. Yesterday, Tommy O'Brien was on, and he was talking about Disney, about how everything was good with Disney, and someone asked me to take a look at the chart for Disney, and so I wanted to get up here and show it to you. If you'll move up here, you'll see here, there's the ABCD that I was looking at. You can see the beautiful butterfly bottom that occurred right down there at the bottom, the beautiful ABCD that was when it was trading it, I think 138 or something, what was it? I don't even remember, no, 90 something, or whatever it was, that price. And then we had this big move up that measures, you can see the top up here, measures to 113. Well, guess what happened to Disney? They had a thing came out yesterday called earnings, or maybe it was today, it was today, and they literally knocked it out of the park. They made it something that says, holy moly guacamole, this thing might be going up forever. But what we want to do now is to see what really happened with Disney, and all I've got to do is to find the second chart, and here it is. Here's the chart for Disney, we'll get it up here, so you can see it. This is a longer term daily now, and what we're going to do now is look at this on a longer term basis, and you're going to see Disney, and here's where we are. You can see today's high was a 61% retracement of this high, and it was a 382 retracement of the high. So this is, we've got a big gap up here, and then we hit the number within 30 cents on a $120 stock. It's trading at 119, I guess. But the fact that it left that gap at that area, it should have blasted, and it might go blasting through there. Remember, that's one of the Dow stocks, and it was responsible for, I think, 100 points on the Dow this morning when this was up around 10% is what I heard. Now, I'm just giving it second hand, so I hope that's a pretty good idea of what we're looking at right here. So that's the main thing, and the reason why I put this up, you see the beautiful ABCD right here that we looked at at 113, that looked really great. Okay, the problem was earnings come out, and when earnings come out, and there's nothing wrong, if you bought a call or a put, or you were in the stock, you have to take that risk that's there. Now, had I, I don't trade stocks, but had I been in that trade, which I don't like to go into reports, and if I were a stock trader, which I'm not, I wouldn't want to risk going into a report, unless you did a put or a call so you know exactly what your risk is. Here, this thing could have opened up $50. You don't know what's going to happen in these days. You look what they do to these, you know, they don't do it anymore because the market's in basically a downtrend. So, well, that's what I think it is. We'll find out. Anyway, that's what I'm looking at. It's just a huge rally in a bear market here, folks. So we have to pay close attention to it. Now, with the action that we've had the last two days in the stock industry futures, we really need to take a look at the open interest. And for that, we always go to our man, Mr. Billy V, down there in Texas, and he sent some beautiful charts on. And I wanted to bring these up to show you what's happening with open interest here because it's a lot different than what they're telling you. And let's move on here to take a look at this one. We've got the break coming up, but we'll be able to cover these after the break. Stan Harley is our guest today, and we have Mr. Peter Eliidi, Stock Market Cycles will be our guest. Folks, write this number down, please, 4235-4235 in the S&P. It is really, really, really important that we close below 4235 either today or tomorrow. Because if we don't,<PHONE_NUMBER>. In a time of blooming inflation, we are purchasing power as eroded, there's no better place to protect your hard-earned money than in gold. Vista Gold's flagship asset is the Monk Todd Gold Project in the Northern Territory of Australia. This is Australia's largest undeveloped gold project. We are talking a world-class gold project in a tier one mining district. This is a large-scale, low-cost project with significant existing infrastructure in a politically safe and environmentally mining jurisdiction. Vista Gold just completed the Monk Todd Feasibility Study which resulted in a 7 million-ounce gold reserve in a 16-year mine life. All of this combined with the approvals of all major operational as well as environmental permits. This distinguishes Monk Todd as an attractive, diverse part ready-development stage gold project. Vista Gold trades on the New York Stock Exchange under the symbol VGZ. Steve Rhodes started his trading career as a student almost 20 years ago and the student has now become the master. Steve won the prestigious Timer of the Year award in 2018 and barely missed that mark again in 2019, finishing it number two for the year. An amazing accomplishment. Steve Rhodes is committed to sharing his techniques and knowledge with anyone who wants to learn and he shares his vast amount of trading knowledge every day in his Mastering Probability Newsletter. Steve's award-winning newsletter, Mastering Probability, is delivered every trading day with updates throughout the afternoon. Sign up for Steve's market newsletter, Mastering Probability and you'll receive access to seven of Steve's educational webinars absolutely free. At TFNN, all our newsletters come with a 30-day money-back guarantee so you have absolutely nothing to worry about. Visit TFNN.com and try Mastering Probability 30 Days Risk-Free Today, TFNN Educating Investors Are you looking for a way to consistently add winning trades to your portfolio? Tom O'Brien is here to help. Tom O'Brien has been successfully trading markets for over 30 years. A frequent contributor to TD Ameritrade Network and CNBC, Tom O'Brien founded TFNN over 20 years ago to help educate investors just like you. Tom's Daily Market Newsletter Market Insights is published every morning when the markets open to give you the competitive informational edge you need to succeed. These newsletters are packed full of Tom's advanced technical analysis and are geared to deliver comprehensive strategies for a successful portfolio. Get Tom O'Brien's newsletter, Market Insights, today and try all of our products and newsletters 30 days risk-free with our money-back guarantee at TFNN.com TFNN Educating Investors We're back folks and talking about open interest. I posted the charts for the Russell and the Dow Jones and as you can see here we've had a big increase in open interest in the Dow Jones recently on a downtrend but you can see with this bullishness here but with the Russell you see the open interest is dropping so what we need to do let's try it again Larry that happened to be the one on the right was the NASDAQ and that has a bullish open interest and the one on the left is the E-mini and as you can see on the left side it is really not very positive. You've got open interest dropping and you've had this thing run up quite a bit for five days not a good sign ordinarily but we live in interesting times as the old Chinese curse so let's sort of remember that well let's go back to all this one other thing I wanted to look at too I believe I wanted to show you something that one of our friends from up in Seattle sent to us I copied what he was doing just to show you it was easier to do it on my system than his but he wanted to show some symmetry that we have going on here with the Dow Jones E-mini and I wanted to point it out because you'll notice here we thought the Dow was going to hold this level right here and you can see it's five or six hundred points higher than we thought it was going to go it didn't quite make the 618 retracement yet but the thing is look at the timing between A and B and C and where we are right now that's a 1-3-5 pattern folks that's just spot on we're way above see this move right here this B-C swing that was exceeded two days ago we thought it was going to hold that level and it didn't and you can't stand in front of it we've you know it's not about how much money you make it's about how much money you don't lose but look at that that's a beautiful 1-3-5 pattern and you're coming in with market where you're seeing short covering and that's usually not a very good sign and remember sometimes these things just don't flat work let's just look at this E-mini S&P and that brings to another question that someone asked and had a call this morning from one of our friends over in Denmark had been going through a period of breaking even he had some winners had some losers and he said he had never felt so good breaking even and I asked him why is that he said well I'm doing the right thing he said I see what I'm supposed to see and I'm doing the right thing and that really gives me some peace of mind and folks if you've got peace of mind in this business you've got the number one cycle fixed and that's what you want to do it's from the left ear to the right ear you get that nine-inch cycle right and the rest of it falls into place Mr. Mark just drove it home here for the four years that we worked together in this office about the importance of that nine-inch cycle because when things are not right and you're doing things that are not going to work right you already know you've got a big problem remember from Roy Longstreet viewpoint to the commodity trader the first mistake teaches the second mistake kills so when you see that second mistake get out of dodge and when we went above forty two twelve thirty in the S&P after the markets closed it told you it wanted to go higher and where did it go it went to forty three sixty one those of you that listen to our newsletter or write our news listen to the John's newsletter that we do every week you'll notice the predicted high for the S&P this week was between forty two fifty four and forty two sixty nine and forty two sixty one is right in the middle of that the reason why the price of forty two thirty five must close lower today or tomorrow is because it would represent the largest rally we've had and that would indicate that it is no longer a bear market so if we close above forty two I'm taking a little bit of well I'm taking a lot of thunder from Peter Lighties but he'll discover that and discuss that on Friday we have Stan Harley today Monday we've got Norm Winsky Tuesday we're going to have Jim Bartolioni and Wednesday we hope to have Tim Boss next week so we've got a good group of folks coming in looking at some of these things now let's go back for just a minute we've done a lot of things right these last couple of days folks remember we talked about the bonds yesterday you want to do the ones that are working the best the one that is the weakest if you remember we talked about the sale and the bonds up there when we hit that level up here at forty two and change okay that was a beautiful pattern right at a six one eight everything you could possibly ask for and if you wanted to follow through with that today you'll see that the bond here let's get it up here you'll be able to see it's like a falling safe in fact it's almost broke one forty which is four handles down from the high the other day but there it is you can see it right here in fact we've got a big ABCD for me here we're bound to get a little bit of a rally but that's what we're watching here in that we also you know mentioned about the gold the gold had that beautiful ABCD pattern to the upside and we felt that if I can find it and I know I can and then I'll go back to the S&P just a little bit later and I wanted to cover the crude oil because the importance of this bottom that is formed here and we spent a great deal of time this weekend on the videos for heating oil and gasoline and also for the S&P but the S&P had made the low at eighty seven oh one the number was eighty seven thirty five we had ninety four and changed folks ninety four and changed that's a twelve percent move in three days that is one big move and if you'll take a look at it on the shorter time frame we'll get it up here it has been a mover and a grouver and jumping around all over but you can see the last two days what's happened here we've had a tremendous move and we're getting ready to complete a big number up here at ninety five and change so watch that one for tomorrow but this market has made a major bottom now in heating oil, gasoline and crude oil that was a big ABCD coming in right at the six one eight on the crude oil so it's done exactly what it should have now hopefully with a little bit of luck I'm going to find that gold chart sometimes I need more luck than I want to have but let's look along here shucks I can't find it anyway you guys know where it was it was a beautiful ah I found it here here we go there we go and we haven't broken very much at all folks we've only broken about thirty bucks so that's a good sign but from this pattern right here we should at least get down to about the seventeen eighty seven to seventeen eighty and you know we're still twenty dollars away from that so I think it's important that we pay close attention to that and we'll see whether we can do that we've got a break coming up here just a moment and Stan Harley will be our guest hopefully Stan sent the charts in and if he didn't I'm in big trouble and I've got the charts hold on just a second here so we'll have Stan Harley up at the break here and he's got five really cool charts and we'll be able to take a look at those so let's see Stan come on in just a little bit and we will open if you want to take advantage of this sector now is the time to subscribe to my Gold Report Gold Report is a comprehensive look at the metal sector as well as the markets that move gold which is the currency in bond markets new subscribers get a 30-day money back guarantee so you have nothing to lose every Monday morning I publish the 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8.30 a.m. to 4.00 p.m. every market day from 8.30 a.m. to 4.00 p.m. Here's your chart, Stan. We're going to start out with the S&P 500, and why don't you go ahead and tell the folks what you're looking at, and when you're ready, I'll move on to the next chart. Absolutely. The first chart here is a monthly chart of the S&P 500, going back about 60, 70 years. And this is a chart that I've shared on the air with you in the past. What I've found is the dominant cycles, the dominant highs on the monthly charts tend to occur at roughly 84 month intervals, plus or minus, at seven years. And see the dates that I've marked here have marked all of the significant highs going back to the 1960s, and I can take this back even further. But suffice it to say, over the span of this period of time, every 84 plus or minus a few months, left or right, we tend to get major cyclical highs. And I think the January 4th high of this year in the S&P marked the latest pattern in the series. Okay. All this next one warms my heart. Stan, this next chart really makes me feel good. Hold on one second. By the way, we have our friend Peter Lides will be our guest on tomorrow. And I know you, Peter, from the old days too, so hold on one second. He and I were both regulars on channel 22, KWH live back in Los Angeles. I remember when you remember they had guys there, like one was called, oh my gosh, Bill Griffith, of course, and also, what's your, oh my gosh. I can't remember the, oh, my mind's slipping a little bit. There's a lot of talent on there, Larry. Ron and Sonata, the other sir was, we had, what was the, what was the guy, the reporter that was so nice that was on, he was, he was reported for the early. Yeah. Yeah, what a, what a class act he was. That was really good. So let's, let's move on here. You're looking at August 11th. Now what's today today? Hmm. August 11th. Yeah, it sure is. What I've done here, Larry, is I've looked at all of the highs and lows, the significant highs and lows, the trading cycle highs and lows, every single one, without exception, everyone lines up within a couple of days of a major Fibonacci ratio. 0.236, 0.382, 0.618, 0.764, etc. I've dumped all these dates into a spreadsheet. I've done what's called a regression analysis, which is a mathematical technique to find the best mathematical fit of the data series. And what it does is it computes August 11th, 2022 for the next turning point with the standard deviation of about two to three trading days. So what does that tell us? That tells us we should be looking at a potential trend change in the period of August 11th. And I think it's going to be high. Incidentally, if you take the Fibonacci 144 in terms of trading days, you add it to the date of the all-time high in the New York Composite Index, which occurred back on January the 13th. You add 144, that equates to August 11th, 2022. You take the low on June the 17th, two months ago. You add a Fibonacci 55 calendar days, and that equates to August 11th, 2022. Well, what it's suggestive of is that we should be alert to a potential trend change right in the present time frame, plus or minus a day or two left or right. Well, I have to agree with that. That's a very interesting chart. But August 11th is a big day for me. I lost two good friends many years ago on August 11th. And today is Sarah's little grandson. He's nine years old today. So August 11th is a very, very important day for me from a historical standpoint. And we have a question for one of our listeners. And that is, is this market acting normally to you? I mean, it is to me, but what's your opinion, Dan? I think it's a very normal market. Some people are prone to saying it's different this time, and I just roll my eyes. No, it's not. It's no more, no more, no less volatile than days past. And the cycles don't change. The Fibonacci and Lucas ratios don't change. No, it's not different this time. It's quite so. Well, I was glad to hear that because I felt the same way. And to hear it from you is also important. Now you've got a little graph here on Fibonacci and Lucas numbers. What were you trying to tell us here, Stan? Yes. What this is, just a table I put together. The left-hand column is the Fibonacci series. I just started with five for convenience. Went through the number 144, which we just discussed. And then I do a lot of work with the Lucas number series, something that I don't think too many people are familiar with. And then the third column is I've doubled those two numbers and listed those down in that vertical column. And what I have found is the Lucas numbers actually are far more important than Fibonacci numbers. Highs to highs, lows to lows tend to increment by the Lucas series and they're two times multiple. Time spans from low to high and high to low more often than not tend to be Fibonacci numbers or they're two times multiple. But this column under the times two, those numbers show up time and time and time again, all markets, all time frames. And then we'll rewrite some Fibonacci ratios that are very common. Those ratios defined all the pivotal turns that I showed on the prior chart. People might not know this, but Lucas was actually Italian. His name was Peppersonelli and he changed it to Lucas because it was easier to say. Do you remember that, Stan? I did not know that. I thought he was a mathematician under the French government. And yeah, he was... I mean, I could have the history wrong, but my understanding was he was a government mathematician. Yeah, he was. Yeah, I was joking about this. Stan, would you please? Absolutely. You'd be right with Stan Harley's book, Harley Stock Market Letter. We'll be right back. 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Okay, we're back, folks, and we're chatting with Stan Harley in the Harley Stock Market Letter, but we are going to jump out of the stock market and talk a little bit about block chains and Bitcoin. I think it's for here to stay, don't you, Stan? I do indeed. My previous charts may not have come through, and if they didn't, the error was on my end. I think I failed to click the share screen button, so I apologize for that. I think the folks can see it now. This is the Bitcoin chart, correct? Yes, this is Bitcoin, and what I've done here is this is every day of trading from the beginning back in July of 2010, and what I've done is I've converted the chart into a log chart as opposed to an arithmetic chart, so it's a little bit easier to see. A lot of people have trouble analyzing Bitcoin, and it is a tough rascal to do that, but here's what I found. Keep in mind the prior discussion that dealt with the Fibonacci Lucas series, and in particular the Lucas numbers, and I have found, Larry, every single high on the Bitcoin chart, every single one, can be defined by the Lucas series of numbers. So what I've done is I started the analysis at the high that occurred in June of 2011, and as you can see I put a zero there, and then forward in time, in terms of monthly time counts, I've showed the number of months. So for example, the time period between that June 8, 2011 high and the April 10, 2013 high was 22 months. Lucas number 11 times 2 is 22. Okay, the time period between that June 8, 2011 high and the November 2013 high was exactly 29 months. That's Lucas 29. Okay, the time period into the 2017 high that occurred back in December of that year was 78 months. The operable function there clearly is 76 Lucas number. Then we had a high in June of 2019, 96 months from that 2011 high. That's 47 times 2, 94 months. And then the most recent high in November of 2021, the most recent all-time high, was 125 months. The operable function there is the Lucas number 123. So as one can see, every single high of importance has occurred at either a Lucas number or it's two times multiple. Everyone. Well, this is certainly not a bearish chart as the way I see it. My goodness, it's been going up forever and these corrections seem to be normal, so it looks okay to me. Now Stan, do you look at any charts like the Coinbase or the things at ARC these people look at? I mean, they do some of these cryptocurrencies. I really don't look at them at all because I don't understand it and I keep my stuff really simple to ABCD, but do you ever look at stocks like Coinbase and stuff like that to try to find patterns that fit with what you're looking for? Yes. Yeah, I've analyzed Coinbase extensively. I don't have a chart here today. It wasn't prepared for it. But absolutely, that's a stock that I've analyzed quite a bit. What it did was it actually peaked earlier in 2021 and it made a lower peak on November 10th, divergence. IE, Bitcoin went to a higher high and Coinbase made a lower high on that same day.  Certainly suggestive that the new high in Bitcoin was in jeopardy. Okay. Wow, that's really interesting. Now, I had one other question from one of our listeners and where can they find out more information about Lucas numbers? Is there a hit on Google or something or what's the best way to do that? Probably just going to Google, do a Google search on Lucas numbers. My guess is one will not find very much because it's not a subject that's widely understood. And this, of course, the doubling, you're not going to find that in any book. That's my own, that's the product of my own research. But I would encourage the viewers to look at both Fibonacci numbers and Lucas numbers and then try things like multiplying by two by four or by one half and you'll be astounded how frequently those pop up in the markets. Yeah, it's all related to numbers. These algorithmic guys they turn on these numbers like magic. I know it's, in fact, I am amazed at it when I see it and I've been looking at it for many years. Listen, I want to thank you for being our guest today. I want to post the folks there to buy your Harley stock market letter. They want to get a sample. I guess they could contact you and hopefully we'll have you on again pretty soon. Are you still happy back east? Do you like it? Absolutely, yes. Well, it was only 109 the other day here and I was thinking of you. It was probably a little bit cooler where you were. I thought you'd like to know that on Monday they're going to have the final services for Ben Scully at St. Jude Catholic Church there in Westlake Village. So I thought you'd be interested to hear that because I know you've been in that area for quite a while. In fact, my daughter is moving back from Denver. She's moving back into the Westlake area. She just can't take the cold weather in Denver anymore. So it's going to be interesting. Hey listen, thanks for joining us buddy. I really do appreciate it and we'll have you on again soon, okay? I look forward to it, my pleasure. You bet. Okay, thank you Stan. Okay folks, that was Stan Harley at a Harley stock market letter if we can get a rough idea of where we are on some of these things. You've got the gold trading in 1805. We got the S&P trading at $42.31. The key level to watch there folks, either today or tomorrow, it must close before $42.35. I'm going to let Peter Lides tell us about that tomorrow. I looked at what he was looking at but with the fact that Mr. Harley was saying on the 27th, you know, might be a really important day and it happens to be a full moon and there's two days away from one of the biggest days ever in the markets and that was August the 9th of 1983 and that's when the bond market stopped going down and started going up and it went up for 26 years. So that day hits in my mind around that time it's very, very important. Also folks, we talked about this crude oil. We get to 95, we're trading at $94.52. That's up a little over 12% in just a little bit. By the way, Mr. Shane's million has just popped in to let me know that we also have Paragy where the earth is as close to the moon as it gets. We owe that to our good friend, Mr. Pythagoras, who was the first person to talk about that and talk about the square root of numbers and he knew the distance between the earth and the moon was 250,000 miles and he knew that folks in 667 BC and low-operated. Where was the rest of the world for 1700 years? Okay. We'll be right back. 877 976648 This to Gold owns and operates the largest gold project in Australia, the Mount Todd Gold Project. Mr. Gold just completed their feasibility study resulting in a 7 million ounce gold reserve. Mr. Gold has all major permits approved and has retained CIBC capital market assistance in evaluating alternatives and in completing an accreted transaction. Mr. Gold trades on the NYSE American and TSX under the ticker symbol VGC. Mr. Gold executing a strategy to create shareholder value. 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 indices, 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 Everything in the universe is governed by the Fibonacci sequence. This mathematical principle is responsible for everything from the most aesthetically pleasing artwork to patterns in the stock market. To stay on top of stock patterns you can take advantage of sign up for the Fibonacci 24-7 newsletter at TFNN.com When you subscribe you'll get a weekly report from Veteran Day trader Larry Pezzavento on stocks you need to pay attention to and you can trust Larry's analysis. After all, he's got 45 years experience as a day trader. Larry will also provide daily charts videos and data on the key markets that he's tracking. Expect notifications from Larry on market movement you need to act on at any time. First-time subscribers also get a 30-day money back guarantee. If you're not satisfied let us know and you'll get a full refund within 30 days of signing up. Subscribe to the Fibonacci 24-7 newsletter today TFNN.com Educating Investors TFNN has launched the Tiger's Den. Hosted at Discord TFNN has been educating traders for more than 20 years with live programming hosted by a variety of professional traders during market hours. The Tiger's Den. Available to all tigers and tigers for just $1 for the year. There's no catch or added costs when you join our community of traders. Sign up today and become a part of this educational community of traders. Just visit the front page of TFNN.com. 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 of the treasury bonds and the reason why I did that is I've been trying to try to get you to trade ideas patterns. This has been in a downtrend. That high on the left up here that was an exact, you remember 382 on the weekly at 146. We had lower highs today. We had the retracement here a little above the 382. Look at just keeps dropping and dropping. I mean the trend is certainly down. Those are the ones. If you're in a bad streak or something just find a market that's going down really, that's really a better way to do it. We try to pick tops in here they're not tops but they're called trading patterns and that's what I try to do now. A lot of these don't work. That's basically what you're looking at. Just take a look at this today I was watching this morning because the market was so crazy. I was just watching it on an 8 minute chart you'll see here all I think is a 4 minute chart no 8 minute. You'll see I had a potential of 8 excuse me, 42.69 we only got the 42.62 and then of course we had a pretty substantial break and then we had a rally back up to the 382. Folks write this number down 42.35 if we can close below 42.35 today or tomorrow we've made a major top in here but if we go above that let's start getting around that 42.50 43.00 level this market can make a new high without any trouble at all and why I have no idea all I know is it could possibly do that so you don't want to stand in front of it so keep those cards and letters coming in live every day in an attitude of gratitude and may God bless and always stay on the green side of the grass and only read the first edition of the newspaper very very important we'll see you all tomorrow folks our guest tomorrow will be Peter and Lydie he'll be on for most of the show because he's got some great information as always we'll see you tomorrow


It's a beautiful day, and again, I would like to thank Red Hat for having us here. Much appreciated, and thanks to the community. I think we're all here as part of the overall Red Hat community, the OpenShift community. So my name is Ganesh, Ganesh Janakiraman. I lead the SAS operations and delivery team for Broadcom. And with me is my colleague Jose Chavez, who heads the platform engineering for SAS. You may be wondering what the heck is Broadcom doing here. So Broadcom is typically known for its chip design, hardware, infrastructure. If you've not noticed, Broadcom has been acquiring companies like Brocade, CA Technologies, and Symantec recently. So we have a multi-billion dollar software business, a thriving one at that, that encompasses infrastructure software, enterprise software, mainframes, security software, and we have a fairly large presence in SAS. So both of us, Jose and myself, we come from the CA acquisition. So what we will talk about today is our journey with Red Hat OpenShift, where we started, why did we even pick OpenShift, where we are today, what we are doing today, and where we are headed. So this is a flashback of about four to five years back in terms of where this whole journey started for us. We were growing SAS through acquisitions. So there were several products that were coming to the SAS table through acquisitions that were already pre-baked, pre-built, that was revenue-generating products, not greenfield ones that we were absorbing. So the problem that we had was this heterogeneous sets of products that we had to run and operate. And each one of these was an island by itself. And the landscape looked something like this. So we had products that were built back in the late 90s, early 2000s that were monolithic. If you can recall the old Java J2E days, we had these massive war files that we used to run. To the latest microservices-based products that uses the latest technologies and tools. So the common joke in the floor was that we literally had everything from Pascal to Haskell and C to R. So we literally ran everything. So the other important part is the development methodology.  And there were some that were doing agile. So eventually, we kind of standardized on agile. We follow the safe framework. The reason why I bring that is the delivery of the software, the release management of the software were all totally different. The last part is the application infrastructure. So some of these products were built, ground up, multi-tenant, even 20 years back, well-architected. I wouldn't say the same about everything. Some of these were actually hosted services. They were not even true SaaS services. Some of them ran in our own data centers in private cloud. And some of them were built public cloud native, wherein they could consume all of these nice elastic. I mean, the only one's swaying. So that could consume all these new services that are available in the public cloud. So the issue that we had, the problem that we had was a problem of plenty, a plethora, a wide gamut of these products, that we had to find a common way to run and operate. It was not possible for us to scale the resources, both in terms of infrastructure, as well as people, to be able to manage these services. So that was the problem that we went about solving. So how could we assimilate these products in a way wherein I don't need to linearly grow my teams? So the goals that we had for the SaaS delivery were the following. As you can see, we had to make it less complex, easy to manage, and reduce the operational costs. So obviously, I mean, it's all driven from there. And we were essentially looking for a common operating model, a common console where I can go look and manage all of these products. So that's where OpenShift actually came into play. So we, in CA, we're one of the oldest partners of Red Hat in the OpenShift journey. Somebody talked about four and at three, we can talk about two as well, the OpenShift version two. I don't know how many of you here have used OpenShift version two. Oh, my goodness. OK, my commiserations, actually. So if you've dealt with the cartridges and gears, it was not fun to work with. So back in 2015, I think the pivot was made to adopt Docker and Kubernetes. I think I'll be preaching to the choir here if I start explaining the benefits of Docker and Kubernetes. But essentially, the problem that we wanted to solve, we said that if you're a developer and if you're able to deliver your software in a box called this Docker image, we need to find a way to run this in an orchestrated environment. So as long as the developers were able to come to this form factor of software development, a unit for software delivery as a Docker image, we would be able to run that in a common model. So for us to start, stop, scale, the operations team does not need too much of expertise on the product to manage these diverse technologies. As long as they're able to, they know OpenShift and they're able to manage the platform, we should be good to manage these. And the other thing, the important thing, I think I mentioned in the earlier slide, was an edict. I think the earlier speaker talked about ING. We had to automate everything. That was one of the ground rules. From automating everything to, we are at a point where we are moving towards a declarative of everything, where everything needs to be declared in Git and that's what triggers the automation. So Jose will talk more on that. And today we run OpenShift in, we run large clusters of OpenShift, both in our private cloud and different public clouds. And we are in the process of consolidating them, but we still do see a need for having a combination of both. I'll talk a little bit about the scale in the later part of the presentation. And I think similar to what the ING use case was, we run our service in a high security environment. So we need to go through the InfoSec regime. We have, all our environments are SOC2 certified. We have a couple of environments that are PCI certified. So we do have a FedRAM setup as well, right? So that gives you an idea of the scale that we are running. So without much ado, I'd request my colleague Jose to talk about the technology stack, what we run at a high level and take it from there. Thank you. Thanks guys. So our technology stack, obviously running in production, there's some common components that need to be incorporated, starting with the infrastructure layer. As shown here, various cloud providers, VMware could be put in there as well. The ultimate goal was to be as flexible as possible and where we could deploy to. So starting with that layer, then adding OpenShift on top of that with Docker and Kubernetes to host our services, of course. And some of the SaaS applications that we're hosting on top of OpenShift, that are, you know, Broadcom, IP, the AIOps, API Management, CDD, Atomic, MRA, PPM, more to come. Then in order to support those services, we had to have, you know, infrastructure services as well. On the left-hand side, you have your monitoring pieces. Again, Broadcom, actual applications, APM, ASM, UIM, DOI. To the right of the SaaS applications, you would have your common services that are like, you know, integration or needed by the actual SaaS services like Kafka and ZooKeeper. Then we have our logging stack based on Elastic Search Log Stash, Kibana with some file bead agents that are essentially scraping the logs and forwarding onto Elastic Search. It is actually running as a stateful set that Elastic Search is, and just by a show of hands who runs, you know, stateful sets in production today. Okay, so yeah, that was one of the concerns for us is a lot of the reading that we had been doing was, you know, yeah, stateful sets for like database technologies like MySQL, Postgres, things like that are good for development purposes, but once you incorporate basically shared resources, there's a risk involved there, you know, with performance and things like that. So that's kind of a leap of faith we had to take with Elastic Search, but it's worked out so far. We have our DB layer as shown here, Mongo, Postgres, MySQL. I'll talk a little bit more about where we're going with those. Right here, they're depicted as standalone services. And then of course, you can't be without security. So, you know, QALIS for OTScans, TwistLog for scanning container images. You have your alert logic for network, you know, packet inspection, and then of course, semantic for antivirus. So that pretty much summarizes what our current generation stack looks like today. And I'll turn it back over to you, Ganesh, to go into more detail about the workloads that we run in production today. So we've been running OpenShift, the 3.x OpenShift, I think the first version we went live was the 3.1, we quickly moved to 3.4. We went live 2016, November, it's been three years actually. Right now, most of the production workload we have is in 3.11, and we are testing four actively and we should be there someday. The kind of applications that we run again, I kind of already talked about the breadth, right? So we have a lot of web applications, as you may guess, again, different hues, we run everything, we run from your NGNX, Apache, HAProxy, kind of, I mean, we have like, you name it. So the important thing that we, from what I recall from my pre-OpenShift tool, where we are today, is our ability to scale, right? So with, we are able to scale dynamically based on the number of requests, we are able to scale up, scale down, as needed, and I think the support from Kubernetes there has helped us enormously in terms of managing these web apps, which used to need operators going and spinning up VMs, and after the Cyber Monday is over, scaling them back. So we don't need to do any of these right now. So we have the other workloads, like project and portfolio management and continuous delivery management. These are large database intensive, more of a workflow management kind of applications. The, again, the most important part that we achieved with OpenShift was, literally, we run thousands of containers, okay? We run thousands of containers just for these kind of workloads, and the staff, the operational staff that we needed to manage these, right? Work was enormous. The kind of, the operational efficiencies that we've achieved by moving these workloads into containers is amazing. Both from a resiliency perspective, self-healing, the ability for these applications to recover, I think that alone, I mean, has helped us tremendously, actually. Then we also run a data science platform where we have these workloads, there's a lot of machine learning and AI that we do for different products. So one of the products that we have is the payment security platform. We run the largest online authentication system. It used to be a protocol called Verified by Visa or Mastercard Secure Code, if you're familiar. So we run that workload and that, so there's a real-time fraud detection that we do that uses OpenShift as well. Again, this is, the ML AI here is more homegrown proprietary. It's not any of your TensorFlow, but again, this one runs in our OpenShift platform too. And then we have other enterprise security applications. Again, we have applications like API gateways, API management portal and things like that. And Jose talked about analytics. We run, when we started this journey, we were kind of hesitant to do anything on the stateful applications. We are still running them on VMs. Recently, it's been like about over six months now. I think we've moved completely to stateful sets and then the whole new storage class has helped us big time there as well.  We have some Spark workloads that we run on a very small scale in the OpenShift environment as well. The last one I kind of mentioned in the earlier slide about AI operations. AI operations is basically a suite of monitoring tools that we actually run, that we host on behalf of our customers. We use it internally as well. So this is again a very useful part of our overall platform wherein we have this monitoring both inside out and outside in that we do. So when I say outside in, we have pops that are running all over the world and those that are running on OpenShift that kind of monitors and sends metrics. And we have NetFlow analysis that we can do. And we do have application performance management that goes right to your container, to your pod, to your service, to your namespace and then to your cluster, right? And there is the other microservice versus the application view. So there are different levels of monitoring and metrics that it collects. And there is an AI engine that actually does the correlation and that gives us a very good visibility into what's going on on the environment. So the other part that we wanted to talk about today is I think the earlier speaker kind of touched upon this one as well, in terms of how we manage this environment, what kind of automation we have to make sure that we have automated provisioning separate out the infrastructure provisioning and the application provisioning and the application deployments. So Jose will talk about what we do on the automation on the CD side. Okay, so thinking about the technology stack that I showed earlier, as you start to build these out, you realize how much effort time goes into building even just one stack. And if you want to be able to scale, obviously the importance of automation comes in. So as the product evolved, as the common stack that we call it evolved, we started to introduce new tools, new processes to make the job easier and also obviously be able to keep up with the demand of building out multiple environments as more and more teams or services were introduced. So the provisioner, this is more of a high level and I'll go into more detail in a minute, but we leveraged a packer to start building out whether it was like an AWS image or VMware image, Google image, we had some standards or some security practices that we wanted to apply to the images, basically creating like a standard or golden image, if you will, and then leveraging it as part of the provisioning process that would get fed into ultimately the instances that would get spun up in the VPC and that's what that bottom layer shows there. And basically deploying or distributing that image to the various GCP or AWS accounts in order to leverage it for deploying the Terraform. So you can see here the end result is being able to deploy the full stack, the infrastructure, the Docker Kubernetes OpenShift platform on top of the various cloud providers. So here's basically a couple of use cases that we identified when we were building out this latest generation of what we call our deploy or platform provisioning, the GitOps way. It was actually before we realized we were doing it the GitOps way, but ultimately we used Git as the source of truth, if you will, for storing like various input files that have all the configurations about the stack, the state file that's needed for tracking, essentially everything you needed to build the stack, to identify its state and be able to expand on that stack. So on the upper left where you show Git, it's more of an automated flow going through where somebody does a Git commit with the state they want. They ultimately do a Terraform apply, plan apply, and that kicks off deployment, whether it's in cloud or on-prem, like a VMware type deployment, but it goes through the whole flow leveraging, Ansible is one of the core pieces there. And the key part there is when you build the stack, not all stacks are gonna be built the same, so you need the flexibility to alter the size, right? And we designed it in such a way that you could, there's a set of defaults, but you can modify how many OpenShift nodes, masters, utility servers you ultimately need in the stack. And since it's a different Git repo for each stack, you can manage those separately. But we also realized that there was a need for testing as well, quick iterative testing of our own code and our own automation, which is the lower left-hand side workflow, if you will. And that's simply a developer doing a Git pool, modifying, his changes, then pushing those out to like a testing environment, if you will, and being able to repeat that process. But ultimately, through a combination of Ansible and Terraform, we're able to spin up stacks pretty much as quickly as the cloud vendor allows and a variant sizes, and it's all pretty straightforward. And it's easy to kind of train like new individuals that aren't used to automation of infrastructure to say, hey, here's what we have packaged as a deployer. This is really how you use it, even if you don't necessarily want to understand the inner workings, and that was the goal. So that was for the platform deployment, but you also have the services deployment side of things. Again, here, we actually use Git as the source of truth as well. In this particular case, pretty much every development team has their own form of CI. We give them the flexibility to build and automate how they compile and ultimately do their local testing and building of artifacts. But once they're ready to actually test in our sandbox environment that we provide for them or even go into deployment, they effectively do a Git commit, which triggers this whole CD pipeline flow.  The common attributes that you would find that describe your service and how it's gonna be rolled out. And we support Docker Compose format as input, but we're actually focused more on the Helm side now. And just by show of hands, who here uses Helm for the majority of their deployments? Oh, okay. So yeah, that's actually one of the newer features we introduced into our CD pipeline and support for Helm. But ultimately the flow is user commits a change to the input file, a Helm chart, a Docker image in something like Artifactory. And we pick it up, we copy it into our own local space. We wanna do a security scan of that Docker image, make sure it meets the standards that we've set and there's no glaring critical issues there. And we use Twistlock to scan those images and provide any feedback. You can put gates in place, security gates, so that if there are vulnerabilities, you can actually fail the pipeline right there and send back the report. If it turns out it's good, it passes the security scans, then it goes and syncs with Bintray. Because Artifactory is actually only accessible internally, we needed a way to access Docker images externally. Bintray stores that and then ultimately the deployer communicates with the endpoint OpenShift service and tells it it's ready to pick up the images from Bintray into the local registry in OpenShift and ultimately deploy those services. So, I mean the bottom line here is that we wanted to empower developers to deploy on their own schedule, whether it's once a day, once a week, a month, whatever it was, without actually getting in the way, having operation, the typical operations model where they have to wait a certain period of time in order to get these deployments out. So now it's literally on their schedule. There's still security gates in place as well where this pipeline, as part of the input, they can dictate like an approver chain, if you will. And when they submit, it has to go through like a couple layers of approvals. And finally, if those are approved through the pipeline, it ends up getting deployed into production. And one of the other important pieces that ties into here, it's not actually mentioned, is if it is in a production environment, you wanna have a paper trail of what's happening. We integrate with ServiceNow, create a ticket, put the necessary details in there, ultimately close the ticket and deploy. So that's all tracked and audited. But you can see on the right hand side, it doesn't matter where OpenShift is running, as long as we can reach it through a network, we can actually deploy to it. So whether it's on the cloud or it's on-prem. Yeah, that's pretty much it there. Okay, so we've kind of talked about where we've been, where we are today, but where are we headed, right? So where we see ourselves in the next three, six months, we wanna be able to leverage operators to manage the life cycle of services like Postgres, MySQL, Kafka, those are gonna be critical for us and we wanna start providing essentially self-service, a self-service model for development teams to be able to plug in or bring in database technologies, for example, quickly without having to wait for the traditional, let's get some infrastructure and deploy the database there. Number one is time consuming, two, it doesn't scale well. And three, if you can have operators actually managing the full life cycle of that, it simplifies things, right? That's part of the whole automation story. So that's one big piece. The other thing is, we want developers to focus on what they're good at doing, right? Developing services and not focused on actually how they deploy, like a Kafka cluster, a Zookieber cluster, things like that, right? And that can be time consuming, their time can be better spent elsewhere. So I think that operator's story kind of blends in well with that. We wanna incorporate a service mesh for multiple reasons, but one of them being, we wanna standardize on the security model there. And finally, multi-cluster management for various reasons, but we definitely see the benefits of that and having a single pain of view, if you will, for how things are operating, especially the health of clusters, excuse me, health of clusters, and even like a chargeback, modeling usage and things like that. It's definitely beneficial. So I know, Diane, you were looking for some honest feedback, so I just put a couple of things here. Ganesh, feel free to add anything else that you see fit. But basically, we just wanted to highlight, we're hoping that Red Hat can bring some focus back to OKD on 4.x. Right now, we're running on 3.11, but there's definitely features, including some of the newer operator features that we wanna take advantage of. Node management and patching and things like that. So, and definitely the chargeback stuff. One of my engineers actually made a comment that he was trying to install code-ready containers, OpenShift 4.2 on his local laptop, and it consumed like 20 gigs of memory, which brought it to a crawl, so maybe take a look at that. We're looking for a similar experience to how many shift operated. It is a pretty quick, very small install. And ultimately, simplify the upgrade process, which I know that you guys are kinda working on, but we haven't seen yet with the OKD. So, anything else, Mitch? That's it. So.


Please welcome Naomi, who will be talking about Python 2 Genus. Okay, I'm going to assume that nobody in this talk has wandered in expecting something about meta classes or something like that. You probably know what this is about, so I'm going to launch into this. I want to start with a disclaimer or two. The first disclaimer is that what I'm going to tell you is really based on my experience, my life, my opinions. I am not particularly trying to speak for everybody else. I realize that there are many, many things that I will tell you that people in different groups will have in common with me, but I think it's all so good to be aware that when you're dealing with any particular marginalized group, people tend to assume that if one person speaks, they're speaking for all, and that is definitely not true. I can't even claim to speak for all middle-aged trans women in tech from northern Chicago. I can't even do that. So that's disclaimer number one. Disclaimer number two is an unusual thing that I have to say. I've been speaking for all of my life. I love it. Time stands still. I can go on all day just to ask my former students. And this is a very difficult talk for me to give. I am acutely aware that I am giving a purely personal talk at a technical conference, and I'm probably the only person to be doing that. I can, if I let my imagination go, think of at least 100 reasons why people would not only not want to hear this, but not want this talk to be given. And yet, people encourage me to submit this talk, and I do. And I think part of the reason that people are interested in this, aside from maybe the more sensational side of it, is that it shows the difference that changing one variable in your life can make. So to sort of sum up all of this, I use a quote from Laverne Cox, who's a transgender actress, increasingly popular these days. About six months ago, she said, it is revolutionary for any trans person to choose to be seen and visible in a world that tells us we should not exist. So this is my story, and welcome to my revolution. When I was born, the doctor took one look at me and said, it's a boy. He was wrong. I was transgender. What that means is sometime before birth, something happened. And honestly, it was probably several somethings, maybe partly genetic, maybe partly epigenetic, that eventually had the result that something fundamental in the way my brain worked was tipped more to the female side than to the male side. We may never know, we certainly don't for sure know now why this happens. The point is, when I was growing up, I didn't want to be a girl. Inside I was a girl. This is a confusion that people sometimes have.  This wasn't the case. It wasn't a matter of want. This was never a choice I made. This was in fact for many years of reality that I fought. So when I was growing up, which is an embarrassingly long time ago, I will give you a clue later on how much there'll be a quiz at the end. I did not know what was going on. I grew up in a very small sort of farming village in the middle of the U.S., very conservative background. I had no idea what was going on, but I learned by the time that I was four or five that not only could I never act on what I thought I was, I could never even speak of it or horrible things would happen. It's funny how kids pick up on kind of the subtle messages that adults deliver, and that was certainly the message that I got, worn out by later experience, I might add. Then when I was 13, we actually got a magazine in the house that had, along with an address to Mr. President, who was actually President Nixon at the time, so that's your clue number one, and Steve McQueen looking on all of his macho glory. There was an article on this very weird phenomenon called transsexuals, and I read this as a 13-year-old, and I saw that it was me, and I was terrified. I learned that all transsexuals are deeply troubled people who live extraordinarily complicated lives. If I would have read this a bit more objectively, I would have realized that the reason that they were deeply troubled is that they almost always had to struggle to get treatment most of the time they couldn't get treatment, and the reason they lived extraordinarily complicated lives was if they did get treatment, a precondition of getting that treatment was to abandon their former identities entirely. I sort of refer to this as kind of the trans-witness protection program. You had to get away from everything or horrible things that happened to you. So being a 13-year-old who could talk to no one, I think I made what would be a reasonable 13-year-old decision. I went into deep, deep, deep denial. This just couldn't be me. That's all. What other choice did I have? So that left me with dealing with who I was and trying to deny it at the same time. My way out of that, since I was really uncomfortable in groups of boys being groups of boys, and I've taught for 25 years so I know quite well what I'm talking about and I'm sure most of you do too, I'm instead gravitated to more geeky things. And this is not to say that there's any necessary connection between being geeky and being transgender. Obviously there isn't. But in sort of geeky scientific groups there was far less pressure to perform masculine. And in fact we even had girls in the group. And I think the other thing that attracted me was that a lot of the other people in that particular group did not fit in with the way the world was where we were at that time. So I think at least I felt there was that kind of kinship. So it's not getting along in this world very well either. So what we did at that time, this was before the personal computer revolution. And so we were into astronomy and telescopes. The picture here is me on the right, my best friend Dave on the left. He is still my best friend now as a matter of fact. When we got our pictures in the paper we were about 14 for some displays of telescopes and astronomy stuff at a local fair. I will point out my caption at the bottom there. There's a lot of curiosity I think that people have who are not transgender. When they meet transgender people about befores and afters. What did you used to look like? What's your quote real name? Lots of things like that. I would say it's pretty generally true that this is very uncomfortable for most transgender people. It certainly is for me. So as I say, we will never speak of this again. So I was a geeky kid. I went on to be a geeky young adult and then a geeky adult. I went from a PhD in Greek and Latin literature to eventually it's really a long story. It involves a couple of years in Greece. There are many, many things to eventually being the technology director and programming teacher at an independent school in the U.S. where I was for an embarrassingly long time. But while I was there, this thing that was open source, Linux and the GNU system and all of that started to come into be popular. And so in the late 90s I discovered this and I thought this was wonderful stuff. We started running Linux as for the school servers and things like that. It was a small server. Nobody else knew what was going on. I just did what I wanted really. So we did that. I started a log. I became involved in things like that. I learned Python, which is actually at a Linux world from Guido. He was actually teaching it himself those days. And I got involved in the Python community as well. I taught Python at my school. I taught Python to other teachers. I taught Python at LinuxFest. I taught Python a lot of places. I spoke at the first couple of PyCons that had the name PyCon. Jeff Elton and I had kind of a road show where we'd go and speak at the national computer teachers thing. We did a lot of things like that. I ended up writing a book, the quick Python book, second edition. My writing career incidentally actually started because I was the humor columnist for a dog training magazine. I am not making that up. Okay. And I also got involved in organizing in the Python community because I was foolish enough to ask Steve Holden one day if there's anything I can ever do, just let me know. And he immediately said, yes, I would really like to have a poster session at PyCon. I didn't... I think I'd been to one poster session in my life, like just kind of walked through. So I really didn't know what they were, but we figured it out. And I did the poster session for three years and later did the education summit. So I know for a fact that some people sitting in this room know this guy, he's not here anymore. So in a lot of ways, things were going well for me. And certainly my involvement in Python and the Python community was a part of what was going well for me. The thing is, even after all of these years of denial, and I tried everything that I could think of, I was still transgender. That hadn't changed. And it's really, really hard to explain this to somebody who has not been there. It's like your clothes always itch. It's like your shoes never fit. It's really to me like when you're trying to go to sleep because you know you've got a really big day the next day, and you're thinking about how much you'd better get to sleep because you've got a really big day the next day. And then you suddenly realize that all of your thinking about how much you need to sleep is keeping you from going to sleep. So you tell yourself you're not going to think about sleep anymore. You're just going to sleep. And then you catch yourself thinking about how much you need to go to sleep again almost immediately. That is really the kind of feeling that you got. And it got to the point where I was telling myself if I could just hang on until I died, it would be okay. There was a problem with this and that was I was not dying fast enough. Now you may think that I'm exaggerating to the point of drama here. A recent survey of transgender people indicated that 41% of them had attempted suicide. Okay, now think about that. That's just the ones who survived to take the survey. So this is a higher number. And I do know that I have not talked to another transgender person who has transitioned after the age of 10, say, who did not come to this point when thinking that the only way this is going to end is if I die. Okay, that is very definite. And as I say, when you're not dying fast enough, that's an embarrassing position to begin. So eventually, I guess I got to do some sanity or whatever. I realized the other option was to go ahead and transition. That is to stop fighting it and actually accept what was my truth rather than the truth that the world had been trying to tell me for all these years. The problem is I remembered back when I was 13 reading that you had to give up everything in order to transition. And that would mean giving up the Python community, the talks, going to PyCon, the book, all of that stuff that was really very important to me. And I had, in fact, reached a point where I was willing to make that trade if that's what it took. But as things went on, I started to... I guess you could say I'm spoiled. I've always wanted to have it both ways rather than just one or the other. There's some way we can't manage to make this work out. So I started to think about how it is I might be able to keep those things that I value and still transition. Would this even be possible? So one of the first things I thought about, and I think this shows the sort of the geek background, the first thing I did was check the paperwork, check the documentation, that sort of thing. I looked and there were codes of conduct. I mean PyCon had a code of conduct. It was one of the leaders even when I was thinking about this. So that was reassuring. And then I talked to some people that I was working with on PyCon. And I sort of told them on the slide that this was what I was thinking about, what I was going to be doing to see their reaction. And they were universally, surprisingly to me, very supportive. It did not seem to matter. And in fact, I will tell this story on myself. I had this silly notion though when I was going to give up everything, when I was going to basically go underground or whatever it was, I actually came up with the idea and pitched the idea of the education summit at PyCon. It was going to be the last thing I did for the Python community before I went underground. Okay, this sounds embarrassing when I tell it now. The problem is, as I started to approach transition, I realized there was no way I was going to last until PyCon and that education summit. So that was part of my motivation here in thinking, okay, how can I do this? I've really got a dilemma now. I can't give up this thing that I started, but I just can't wait. So as I thought about it, I decided that the way that I would do this, if I was going to do it, I would really have to be as absolutely open as possible. Because if I'm keeping everything, obviously we're connecting the two identities. There's no way you can possibly hide. It's got to be completely in the open. This took me some thinking to get my mind around and to come to terms with. But, in fact, I went ahead and that is exactly what I did. I think it was even before I formally transitioned, I actually taught at a Python workshop for women. I ended up speaking at some various conferences. We went to PyCon. We did the education summit, except it was no longer a farewell thing. I didn't have to give that speech. I didn't have that speech written, so that was just as well. So it was all really went very well. And in fact, people again were surprisingly supportive. And this is not to say anything against other people. I think I was just in the sort of space in my head where I was really expecting everybody to hate it. And in fact, people didn't. And I was surprised and happy about that. I did discover, in fact, that the more open I was, the easier it seemed to be for myself and for everybody else. I think that was partly because that takes away the questions and the awkwardness. If at least it's out there and we don't have to even discuss that anymore. This is a given. Let's discuss other things. And I would say that the final conclusion I came to here is that we talk a lot about diversity. I do believe that our commitment to diversity is real. Okay. So this should be the ending, right? No, I'm talking fast. It's nowhere near the ending. So in fact, it is not all rainbows and unicorns. As a transgender woman in tech, I can tell you that I am almost always the only openly trans person in the room. There are a few exceptions to both of those. We've done some transgender hackathons in the States, which is really a blast, because more than half of the people there are transgender queer and we're actually doing something. This isn't a complaining session or whatever session. We're doing stuff. And then as the other part of it, the only openly trans person in the room, statistics would indicate that I am not the only trans person in this room. Let me put it that way. Whether or not that person is out or not. So there's that element sort of of isolation. I am not real anymore. I guess not that I ever was. I never felt I was a real man. Now that you can find people on both the left and the right who will say I am not a real woman. In fact, in some people's minds, I have become a thing, a curiosity, or the punchline of a joke. I promise you that any joke that ends with and she used to be a man is not funny to me. Don't even try. People are sometimes embarrassed to be seen with me. I mean, more so than before. I think they sort of think, oh, she's trans. People realize that what are they going to think of me? They might think you have diverse friends. Just a guess. In many, many places, I don't have rights. I happen to be very carefully picking where I have rights, but many states in the US, many countries, I can even think of a continent that I really don't want to visit right now. I don't have rights. I have a much higher risk of violence and death than I did five years ago. Now, the bulk of the violence against trans people happens to be against trans women of color. So I have the privilege of not being subject to that. But still, if I get in a situation where violence is involved, it's probably going to go badly. I have lost friends. As it happens tomorrow is the 43 unions. Here's your big clue, all right? The 43 union of my high school class. Out of 75 people, two people are not invited. One of them is serving life in prison for murder. The other one is me. Most of my family no longer speaks to me. I gave up 25 years in teaching to move to a different career in order to transition. If you think there that I am being extreme, I would invite you to think about what would happen if one of the teachers in the school that your children are attending decided to transition and how your community would take that. So all of that is the price I pay to be who I am. I am now at a place where I would not change that if I could. It took me a while to get here, I have to admit. But now, if you offered me the chance to go back in time to before I was born and to fix things, not only would I not take it, I'm not sure I could tell you what fixing things would mean at this point. So all of that means, and this is part of the reason why I don't think I would change at this point is that I have managed to see things that other people haven't been able to as both male and female, as both privileged and both more marginalized. This gives you a perspective that I think many people just can never have. For one thing, as I transitioned, I got to know other women in tech and this was an interesting experience because I had thought about this question quite a lot before I transitioned. Things are different, how is this going to be different? Will you be able to handle this? And I had really thought about it and I thought that I had seen some of the differences. It is amazing how much I did not see until I actually got here as it was. So I met some very, very smart women whose ability did not seem to be recognized. It was really shocking to me how much that was passed over. Also, and again, I mentioned that they did not always feel welcome. They did not always feel safe. One of the first times that I was in this situation, I remember thinking, wow, these people are getting a bad deal. And then almost immediately after that, I thought, yeah, and I am one of these people. So it was a different world even though it was the same place that I thought I knew. And that was actually quite a shock. So I am now often the only one in the room. It happened yesterday, as a matter of fact. I can no longer assume personal security as I did as a male. Gentlemen, you don't understand what exactly that is like. I mean, as a guy, you can pretty much go wherever you want, it's not the case for me anymore. I am now invisible. This one was one that I was not expecting. Out of all of my thinking about what was going to happen, I did not expect to be invisible. And I'll tell you what I mean by this. When I went to my first Python as a woman, I was worried about harassment for being a trans woman. Not that I really thought anybody would do it, but that was my concern. In fact, I was invisible in that every woman that I even knew slightly recognized me instantly. And pretty much all of the guys looked right through me. And it was really kind of a weird phenomenon. I would have to like hide and then they would jump as though I had materialized out of thin air. I am not making this up. I was, I did it several times. And honestly, I'm pretty sure they're not here, but there are a couple of guys that I probably took advantage of this invisibility with more than I should have. But it was weird. But this was my introduction to the fact that in general, in our society, men are socialized not to pay attention to women in professional settings. And actually afterwards I looked around. There are many stories of this. This was not my discovery. I just hadn't known about it. Paradoxically though, even though I'm invisible, I'm now in the class of people that is always judged by appearance. I mean, and this is just a truth. In fact, there are all kinds of double standards that you didn't use to exist. This is more in the work world as a matter of fact. I got this. I was told, I think it was referring even to the same like brief period of time or day or incident or whatever. I was told simultaneously I was too nice and I was too unapproachable. Okay, I honestly don't know how to do that. What does that mean? And a friend of mine has actually observed whenever you get double binds like this, you probably have a discriminatory system going on. This is not a fair situation. So what I take away from all of that is in general I have learned what it means to be marginalized. When I started out a few years ago, I was assumed to be a cisgender white male. That is not marginalized. That's what the system is designed for. I am no longer that and it is a very different thing. And this is really what I learned. I mean, if you are a marginalized group and these are some examples, what you need or what you want is special or extra. Just pick a random example. T-shirts that fit. Just saying. You are never quite sure if you're welcome. At least that's the feeling that I have. And if you object or even just sort of point out something in the system, whatever that system might be, that is not doing you any good, you are quite likely to get sort of a lecture telling you not to be so angry because that's just hurting your cause. I see somebody nodding back there. You should stop bullying people. Don't start a witch hunt. Or you're just asking for all of these things actually have come out of mailing list exchanges that I have been a part of. And honestly, I'm none of those things. I really doubt that we have ever had a witch hunt in the Python community. Whenever I hear that, I rather suspect that it's somebody who doesn't want to change their ways. So it's a very different place. And the thing is, this is really an important point. This is painfully clear if you're on the one side and it is almost invisible if you're on the other side. I was interested in the keynote yesterday. There was a little bit of reference to diversity and its benefits. And I don't think that he took that nearly far enough. I work for a very old conservative industrial supply company. They are completely on board with the idea that diversity, including me, I'm the only out trans employee, 16,000 people, but including me, that diversity is very important for the company. They are very committed to this because they believe that diverse people solve problems better, even if that diversity is not necessarily just limited to, say, one specific area. And they also know that if you are looking for skilled team members or that they are precious, if you have them, you don't want to lose them. If you're interviewing them, you don't want them to go away. So all of that is the business case for diversity. And this is something that they will spew at you without even thinking about it. This is something they have internalized. So I would argue, and as I say, it was touched on yesterday, although I don't think he went far, that in the open source pipeline community, the same business case should hold. And beyond that, philosophically, since we were talking about being open all the time, I think that also must necessarily implied inclusion and diversity. So just about to wrap up here. I asked the question, what do we want or need? Again, I cannot speak for everybody, so that's why that we is in quotes. But in general, to get us to shut up, I have one more slide after this. Yeah, I knew this was going to happen. We need to understand that everybody is different in a whole bunch of unrelated ways. So the fact that I'm transgender does not mean anything about the other pieces of me. The fact that it means no more about me essentially than I'm American, that I'm this tall, those are all unrelated things. If we have that in our mind rather than trying to chunk people, I think that would help. Listen, when people who are marginalized tell you what it's like, take their word for it. They're not making it up. You have to listen the harder, the more you think they're making it up. Codes of conduct matter. If you have a code of conduct that says, trust us, we're all nice guys, that is worthless, that's an insult to the idea of code of conduct. I have seen codes of conduct like that. That would make me go the other way. Outreach matters. Just saying we're open to everyone does not bring in those people who think that you have been ignoring them all this time. You're not going to believe you if you just tell them. You need personal conduct to get people going in. Allies matter. I have been undercover as a straight cisgender male for a long, long time. I have never heard people stand up against sexism, transphobia, things like that while I was in that period. Not if it was all just, let's say, a group of straight men calling somebody out for homophobia, transphobia, sexism. Never heard it happen. We need that to happen. And we need places where people feel safe and secure. So this is my final thing. Let's mean it when we talk about open and fair and inclusive. We have still a ways to go. Okay, well, thank you. I have an on-car, but I will hang around if anybody has questions.


Well, as you guys can tell we've kind of got it out just Just a little bit. I'm debating what to do right now I kind of want to drag this out a little bit further and then get in here grab the front and push it back So I don't even crush any of this tackle because that's what I'm afraid of is I'm just gonna come down and just crush all my tackle All right, it worked so yeah, I know I don't give the talk about it much But this is actually my kayak trailer got my buddy Dellons up there That's actually Alan Bob's because I wonder where Alan Bob's at. He would be back in like a week I promise you mine is right here all decked out I haven't taken it out in such a long time because I've been traveling look at all the baits I just get in the floor all I got some juice in here dog I got chatter baits just a black poppin frog I got the fish head spinner bait a white chatter bait a poppin pickle in a color I've never seen why is that in my boat a rat.  I caught a six pounder this year on this one Is there anything in the back? Yes, there is My Texas if these people don't stop calling me dude. My phone's ringing like 12 times before we got really interrupted I'm liking what I see in there. I'm liking what I see right here. I think this is gonna come handy today Texas rig box Okay, killer now. I'm curious about what's in here cup holders got some baits. Oh, oh snap We got a grass burner. Yeah, it's like Christmas all over again. I just found tons of stuff I didn't know I have Look at that. Is there shaky heads in there? I will please please please please because those are the ones I wanted to throw it today If there's a shaky head there has to be a shaky head somewhere in here I hope you guys are having a fantastic day today on kicking the best TV We are gonna be going fishing straight up fishing searching for giant bass I'm excited about it because it's what I love doing you guys want to see some more videos out of the kayak Slash just going out and going fishing. Let me know below hit the subscribe button hit the notification bell like the video Leave a comment down below. Anyways, you guys are gonna watch want to watch this video Pretty much all the way through because I'm gonna be giving a lot of tips out throughout this whole video Pretty much the whole day is gonna be me Explaining my thoughts on what I'm doing throughout the day to catch fish So pretty much anything that's on my mind if I feel like I'm gonna tie this on and throw it here I'm gonna tell why I tied this and throw it in here This is gonna be a great video for not only bank anglers not only boat anglers not only kayak anglers But everyone because of the way I'm gonna explain this and the way it's gonna lay out So let's go ahead and get our rods get our baits up in the kayak and get out on the lake We all suit it up. We're ready for action captain Yeah Yes, sir. We kind of have a problem right off the bat I don't even know if I really want to talk about it be fair. I kind of just want to go with the flow Yeah, we just gonna go with the flow for right now, even though we can't we got multiple problems a matter of fact Let's start right here there. We start right where we put in baby. There's a rocky bank over here I'm tied on a shaky head as you guys can tell it's got a big shaky head worm on there We're gonna throw it up on them rocks should be one no way. He's running with it.  No, no first cast Dude first cast. I'm pretty sure you took my worm. I'm not even kidding. Look. Oh No, no, I'm still on there. Look at his teeth marks up there. He had it all the way first freaking cast that is a Honestly, it's probably good. We didn't catch it. Oh My gosh, I can't believe that I got him What hey that big He feels big on the kayak. Are you kidding me? We just got out here. This is second cast. Oh, oh We got a land this guy. Oh My gosh, we've been out here for two cast had two bites on the shaky head. I want to say this is a different fish, too I want to say there's more he's only about a pound. We're gonna toss him back. See you later, Jimmy Now we're kind of floating up on it, but I'll give us a floating away through I Got another one. Oh my gosh. There's no way. There's no way. Oh, that's a good one Do we whacking them right off the bat look at that one. Oh snap dude, that's an easy two-pounder. Oh Oh This is unreal to be fair. We've been in here for three casts and caught two fish This place is not easy either. Don't think it's easy because it's not I was literally about to run a clip saying that this place Is actually very hard to fish and then we catch almost a two-pounder. He's about a pound and a half pound and three quarters Let's get him back in the water. He's fatty. Oh He's ready. Wow. That was awesome right there I cannot believe it first cast of fish or first cast of bite second cast of fish third cast of fish Right up on this rock That just gets me so pumped up like right away and I was gonna tell you guys that this place is actually hard to fish It's one of those places where you come out. You might catch just a couple. We've already caught two right off the bat That's a very very great sign. I was gonna talk about the conditions very cloudy outside I went on my weather app and the pressure is three point nine two, which is very low So the fish should be charming today. There's a storm rolling in around five o'clock We should get the bites that we need I wasn't expecting to throw the shaky head as a primary bait today, but for how it started it looks like it's probably gonna be it There's another fish up here. I freaking freak out. I Got one.  Oh my gosh. Yeah, he's big He is fighting so hard. Let me tell you that's one thing I forgot to say about these fish. Oh My gosh, let's lost my rod. He's big. Oh Oh my gosh, wish I had my net We got to get down Look at that football. Oh my gosh. Is that a football? Look? Look at his stomach. Oh my gosh. That's easy two and a half pounds. Thank you for staying pinned We've caught three fish off this rock now. Oh look at how I've never seen a fish so fat in my life I know how the GoPro looks it probably doesn't look that fat, but this is like a one-pound body or a one-pound just frame And the body makes them like over two pounds for you can love it a freaking love it Fatty too. I need a freaking crank bait in my life That's exactly what I mean the water is way muddier than I was expecting And I know exactly what to throw Let me tell you guys something about this little bait right here. I Don't know if it's gonna work today. Okay? Pond's pretty shallow This thing runs pretty decently deep. No, I think it's gonna be perfect for it to dig in the bottom though Well, look at this bad boy. Okay, I fished a tournament this past week this bad boy Smoked them for me. Let me tell you and you see this bill right here It didn't get beat up at all for some reason I don't know what it's made out of but as you guys can tell it's not like clear this this thing is the real deal I ain't in line the hooks on it are freaking amazing. I Was very impressed this weekend with this bait you guys want five or ten percent off You can check the link down below. You don't have to it's just there if you guys are Wanting to get some new baits from them, but um, yeah, I will say that I'm a firm believer in this color This thing whacked him for me. I'm gonna tell you guys if there's that many fish on that rock wall There's definitely fish nearby And there's some steep banks coming up.  Are you kidding me freaking big and on the crank ate it right at the boat On the juice crank. Oh my gosh My heart is pounding lifted my rod and I saw a huge freaking belly man And I was like no way That I just hook a freaking giant on a crank right under the kayak Oh, I thought he was bigger that that made me about have a heart attack.  No, I don't he's barely got it He's not even that big but it's gonna create our five bass limit. Oh, yeah, the hook just got in him Look at that. That is a fatty dog crank bait bite, baby. I like it I love an old crank bait bite It's been a minute pick up the crank bait throw it a couple times boom, baby. Tony's this color man This is something about this guy right here. He's just killing it man on the river end out here There he is biggin biggin biggin What? Oh Yeah, that's a good one. Yeah, that's a good one As big as I thought but he's big Barely hooked.  It's caught the last one. They're they're really reacting on this crank bait Good, I think we're gonna stick with this almost throughout the whole day Quality ones are gonna come on the crank bait overall to get a good reaction bite. That's still a good fish All your clothes on me.  It's happening Should be one right here There he is God, he slammed it Oh, they're a pretty good one.   Look at that pound and a half See later, Jimmy But it shows, you know, right there what I just proved, you know, if they don't want a moving bait, they might use a slow moving bait That's exactly what I proved there I'm just kind of mad that I actually didn't get him pinned here. He's got it. He's got it Got him that time. Yep That's exactly my plan.  I'm doing that as the smallest one today. Oh, man. Beautiful. Beautiful. Beautiful


INEC today also said it will prosecute 215 cases of electoral offences committed during the 2023 General Elections Nationwide. INEC Chairman Professor Memudia Kerber stated this while addressing all the resident electoral commissioners at the commission's headquarters in Abuja. He added that the electoral body will work closely with the Nigerian Bar Association, which he said is willing to prosecute the cases free of charge. Analyze and oppose, Yacobo said, the 2023 General Elections were the most prepared for when compared to previously held elections. Despite the divergent opinions about the outcome of the election, the overall outlook suggests that it is a fair reflection of a complex multi-party democracy. Our record shows that these elections have produced the most diverse outcomes ever produced since 1999. Today, five political parties produced at governments, seven parties won senatorial seats, eight are represented in the House of Representatives, and nine in the State Houses of Assembly. Clearly, the 10th National Assembly is certainly the most diverse in party representation since 1999. We must acknowledge that there were some challenges which were structural, infrastructural, and human in nature. We are presently looking at all the evidence of infractions during the election, including the prosecution of electoral offenders. We are looking at the activities of all actors involved in the election, including some of our high-ranking officials. I can confirm that the Nigeria Police concluded its investigation.