It's a presentation of TFNN. The Tom O'Brien Show is produced every business day. Tom takes your phone calls toll-free at 1-877-927-6648 internationally at<PHONE_NUMBER>. Let's go to Phil in Puerto Rico. Hey, Phil, what's going on? Hey, Tom, doing great. Just wanted to thank you guys and the whole crew, best content on the internet. Really appreciate everything you guys are doing. We appreciate you growling and prowling with us out here. Phil, how did you find us? I just typed in live trading on YouTube one morning. Cool. I was looking for any type of live trading room you guys came up in the kind of quality when I see it, or at least I like to think so.  I appreciate everything you guys do. Welcome to the Tiger film. We appreciate you growling and prowling with us. My pleasure. Now, Tom O'Brien. Well, folks, this is Tom O'Brien at TFNN. We're here five days a week. We go seven hours a day. We go 24 hours a day on the internet at TFNN.com. Always remember, folks, whatever you think about, you bring about whatever you focus on, grow so that everyone's having a great day, safe day. Let's make it a great night, folks. Let's take a look at one of our four agreements. Create new agreements based on respect and love. Take the responsibility to make new agreements with those you love. An agreement doesn't work. Change the agreement. Create a new one. And use your imagination to explore all the possibilities. My good boys, let's take a look at it out here. We have the Dow Industries down 223. Nasdaq's off 309. S&Ps are off 50. Gold contract down $7.50, trading at 19.21 an ounce. We have Silver down 16 cents, $24.42 an ounce. LightSuite crude off a buck 59, 101.69, notes and bonds. Tend to note down one full point plus four ticks at $120.30, 30 year off two points plus eight at $146.20 and $KingDollar. $KingDollar's up 492 ticks, trading 99.490. The year is at 109. The year is at 123.60 and the British pound is at $130 to one U.S. dollar. Our phone number is<PHONE_NUMBER>. Give us a call, folks. I know what's going on in your world. In the world of the S&Ps, let's take a look at them. What do you have? So the spy out here, folks, bottom line has already given up everything that came up yesterday. I suspect tomorrow we're going to go up to this swing point of $449. Actually, let's go in the futures, because this market, I know this market is sold off, no doubt, but it looks to me that this is not over as we come into the close. U.S. OK. OK, so we're down 50 points. I'm going to do this intraday, because we just broke a B point of a small ABC down. But I'm being conservative when I'm saying a small one, because I'm just taking the last leg. You got monster volume, man. OK, now let's bring this back. So if you happen to be watching my chat here, right? What you have to do is you bring it back to, I've already brought this back to six days, and you can see what happened. You just broke basically a consolidation. You're coming into the close of Friday. That's where we had a little pop. Now, the top of that close, folks, is $45.42. Well, guess what? We blew through that like nothing, with volume. So what is that set up? That sets up all the way down the end of this. It's just $4,508, and right now you're at $4,528. And it's not too late to get there. The hour just started. That's the bottom line. We're going to take a look at the NDX100 first. We'll take a look at the Qs. You take a look at these Qs out here. If you're going to see same type of set up, you've got 46 million shares traded. Bottom line, you went high, yes, they were 45. We're going into this small bar from Friday with volume. $3.58 is the number. And I suspect we're probably going to see in the NASDAQ it's just going to jump the creek. The NASDAQ had a great run yesterday, a typical bear run, going up about 1.95%. And bottom line is that by the time we're done today, we are going to be down over 1.95%. Yeah, well, there you go. We're 2.15 right now on the way down. So it's going to be a wild market, but it's going to get a lot more wild than I think most folks actually think here. Gold. Gold contract hasn't held price out here. Now, we have 136,000 contracts traded, which is like contract volume. That being said, however, guess what? When I say it hasn't held price, 1934 is the number. We're going into two separate places where gold has rejected lower price. And we'll see whether it's going to reject lower price at the lows. But the way this is trading right now, it's saying that it is going to go to the low that was established last week, which is that $1893. That's what this is set up, because you got into the bar of 1934. It's light volume. You're going into volume of $215,000. But the bottom line, once you get into it that far, that's saying, hey, it wants to go into that level. And we'll go to King Dollar and take a look at King Dollar, because it's all about King Dollar here. And King Dollar is basically either approach, well, it is approaching its highs. The manager just took it out. It did. OK, so King Dollar, the last high up here is 99,418. You're at 99,495. Now, this opens up a pretty heavy number inside King Dollar. It really opens up that high that was established of 10380 going all the way back to April of 2017. That's how this is kind of set up. We'll see if it gives it up again. Every time it gets up to this level, it seems to give it up and give it up in spades. We go to the 10-year note. Let's take a look at the 10-year note, because this baby just keeps going south, fast and furious.  Whoa, baby, this would be a beauty. It's, OK, so let's see, $1.7 million or $1.5. Well, we'll see whether they can get $200,000 If you get $200,000 at the close, this is a monster, man. Because the A point on this is $1.2904. The B is, I'll call it $1.21. When I say $8, that's going to bring you down to $1.17. And right now you're at $1.2031. So it's certainly a big number. Some of the higher, oh, TWTR, let's go to Twitter. You got Elon Musk, you know, bottom line yesterday. He turns around and, you know, says it's the passive investment. So this is how this shook out, folks. Elon Musk bought 10% of it. He filed a 13F saying that it was a passive investor. And then he actually went on Twitter and basically, I started asking people, should I put an edit button, all that? It's going to get really intriguing between him and the SEC again, OK? And then all of a sudden today he's going to be on the board and tomorrow the CTO is probably going to be gone. That's my speculation, not tomorrow, but he's going to be gone. That being said, bottom line is that let's see what we take when we take a look at this on a longer basis. So we put this on a monthly. That's going to be interesting, man, because this did come back to where it had a lot of support. It took off. It has volume on the take off, for sure. Yeah, this can get up to like $68 and right now you're $51. This is Tom O'Brien, this is TFNN, you stay right there. Folks, I'm in, Mr. Basil Chapman's going to be coming back. We're going to be riding that wave with Basil. Dow Industries right now, down to $252, and Aztec's off $325, S&P's are off $54. Hold on for the ride, folks, because we're going south. 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 the TD Ameritrade Network and CNBC. Tom O'Brien founded TFNN over 20 years ago to help educate investors just like you. 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From the moment the market opens until the closing bell sounds, Tiger TV has eight different shows with expert hosts to help you make the right moves with your money. Watch online at TFNN.com or on TFNN's YouTube channel and become the investor you were born to be, TFNN, educating investors. Toll free at 1-877-927-6648 internationally at<PHONE_NUMBER>. Welcome back, folks, to Dow. Dow Industries right now trading down 248.  Let's go over to our man, Mr. Basil Chapman, as we do each and every Tuesday. And don't forget, folks, Basil is an outstanding show here. Every trading day, 10 to 11 Eastern standard time, also a great newsletter, the opening call. Now it's very easy to get the opening call as you're over to our website at TFNN, folks. You're gonna see it right under featured content. You hit that button. You hit the opening call. You get the opening call for one month for $149. You get it for six months for 695, which is a savings of $199, or 22%. And you can get it for a year for 1195, which is a savings of $593 or 33%. Now they all come, folks. You get them for a month. You can get them for a year. If you're happy in the month, great. You're gonna continue to get charged. If you're not, for some reason, you get your money back. So it's a great value. Basil has approximately 11 webinars that are there already. So you really understand how the market runs, how the Chapman wave runs, great service. Basil Chapman, what's going on? Well, 24 hours ago, things were very different in the market. Boy, I'll tell you, thanks for doing my program, Basil. I really appreciate it, man. It's my pleasure. Thank you for asking me. Yeah, no, I saw those numbers yesterday and then I was looking at the market today and says, man, this is gonna be a trip just in general. I mean, I figured it was gonna be a sideways to down market, but they're giving it to the market in a big way. There's no doubt, man. Well, the market attempted this morning to rally and then when the Fed, one of the Fed governors came in. Yeah, as the judge. Right. Yeah, and that, I think, well, let me just show you something quickly because this is all the stuff that I'll be talking about in my webinar coming up a week from Wednesday. And so I have a chart that I show subscribers for decades I've been showing. This is, I call it my triple yield weekly chart. This is on the left. This is the, the white is the, the 10, sorry. This is the 30 year TYX, 30 year T bond yield. This is the white one. The brown one is the TNX, which is the 10 year T note yield and the cyan light blue one is the five year FVX, five year T note yield. And look, the five is above the 30 and the 10. Oh yeah. I went back to try to find that when we, when we made the top back in November of 2018 before the Fed started talking about higher rates, look what happened. We didn't get a crossover like that. We didn't get that. And when I go back to even the 2000 and the financial disaster of 2007, eight and nine, look on June the 7th, June of 2007, we didn't have, they were very close, but we didn't get that overlap. Yes, the cyan went above the, that's the five year went over the 10, but not over the 30. So this is something that I don't recall seeing for a very, very long time. So I have to take it seriously in the sense that it has market repercussions. That's number one. And number two is if you look at this right side chart, this is the wood, the ice shares, global timber and forestry ETF, stuck in a rectangle formation. I'm going to be talking about the rectangle formation, the narrow, long rectangle formation, what happens when it goes at a high, there's this horizontal channel. And if it breaks to the upside and then comes back down, then breaks the downside, what does it do? Well, this is stuck in the middle. So far that's saying internationally, the timber and forestry ETF is still doing well, but look what happened to the HGX, which is the Philadelphia Housing Index in this long channel and it broke to the downside and it couldn't break the upside. So that's all part of what I'm going to be discussing. And these are all relevant to what we're looking at in the market. So let me just go through some of the things I heard you're talking about. I'll look at it in my own Chapman Wave methodology. This is what we'll be discussing in my webinar. So I talk about rectangle formations can last a lot longer than your patients. Yes. So there's a very wide rectangle and then there's a narrow rectangle. This is kind of a mix, this is the dollar. And subscribers have been along the dollar since April of 2018. We watched it go all the way from about 90, it went all the way to about 103 pulls back and now it's still holding very well. And this to me has been kind of an icon of the American economy internationally where funds have gone into the currency that they thought had the most vigor and so far that's the dollar. But I talk about it and saying that a channel can look very deceiving because as it goes to the top of the channel, you think, oh, now it's going to break out. And then it suddenly turns around and goes to the bottom. And we've had these double bottoms and double tops. I was the, oh, there's another one to show just what I'm saying. I'm talking about what I'll be discussing in my webinar because here it's going to be very important. The dollar is at 99.47 and the last I was 99.42. So even though it's broken it by 5 cents, it has broken the previous high. Will this be a change in the scenario that all of a sudden it does break to the upside or does it do like, let me show you another channel that went sideways for a long time. This is the Russell 2000. It went sideways between, look at this, this is the weekly chart between 234 and 207. For months it went sideways and it finally broke out into a peak D that fourth highest peak I always talk about to 244, 46. And then it went right through the base of the channel to the bottom. So these channels, the wide channel. That one you just did is, was that a daily or a weekly or a monthly? This is a weekly chart. Okay, cool, cool. So let's talk about also. So the webinar is going to be October 13th, right? Yes. From four to 5.30, right? Yes. And it's very easy to get in this folks, okay? The bottom line, just come over to our website. The open calls right on the front page of the future content, you hit that.  Okay, I didn't mean to interrupt you, but I just want people to understand how quick they can get into that. Do you know what I mean? Yes, so I'm trying to, you helped me articulate what I'll be showing. So a pattern that I've been looking at is just, this is one of the many, many patterns. You had been speaking about gold. So I spoke about this rectangle formation. If it's a wide rectangle formation, then the pattern that I always talk about is that from the bottom, if this starts to make higher highs and higher lows after a big spiral to an up move, it's like a flagpole and it comes down the flagpole. Then the rule of thumb that I have is that the price can go to just under, right on, or just above the previous high. Well, this is the GDX and the high of the eighth of March was 40.26. It falls sharply down to 35.67, starts to move within the rectangle that I've been talking about. And lo and behold, today goes to leg D and what is the price, 39.88. It is less than 30 cents away from the previous high. And it's in leg D, D's where we're always looking to see what's going to happen next. So it doesn't mean to say it has to crash anything, it just says right here is some vulnerability within the rectangle formation. So the GDS can remain digesting these huge gains that it's had for months just going sideways. So I just wanted to explain how we can look at it. And here's another thing that's fascinating. Look at the lows, 28.83 was the low of the week of the 1st of October in the GDX. It runs up to the 34 and a half area, comes back down to what? 28.87, four cents higher. And then it starts to move to this double top. So it's very interesting, this is a double bottom. It's the same principle. So these are the techniques I'm going to be showing and it applies to all the charts that we're looking at. We've been raising cash, we raised a little more cash over the last two days. And folks, it's very easy to get the opening call plus you'll be in the workshop, just come over to our website at TFN, go into featured content, hit that button, and you are riding that wave. Thanks Basil, have a great one, we'll look forward to the show tomorrow. Thank you, you too. Thank you, stay right there folks, we'll come right back. Are you having fun trading the markets but having trouble finding like-minded individuals to discuss your trading and investment ideas with? Become an Apex creditor in the trading markets and join the Tiger's Den trading room only at tfnn.com. The Tiger's Den is an exclusive trading room where successful traders from around the world come to exchange trades and ideas. Join the den and surround yourself with the sharpest minds in the trading world. Subscribers to the Tiger's Den are also the first to have their questions answered live on air and can privately chat with our TFN host live during their shows. Interact with other Tigers and Tigers' as they share trading ideas, news analysis, and discuss the market action all trading day. 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TFNN is excited about our new software charting program, The Art of Timing the Trade Charts. In collaboration with Tom O'Brien and using his best-selling book The Art of Timing the Trade, your ultimate trading mastery system, David White has programmed an outstanding piece of software that will complement any trader's methodology. Using this first-of-its-kind program, The Art of Timing the Trade Charts allows you to scan thousands of stocks for Fibonacci formation setups, including guardleafs, ABCs, butterflies, and much more. The Art of Timing the Trade Charts is designed to help you when scouring the markets for stocks just beginning to form the trading patterns that many investors spend days, weeks, or even months searching to find. And right now, we're offering licenses available at only $79 a month. We are so confident that you're gonna love this new charting software that will even give you a 30-day unconditional money-back guarantee. Don't miss out on this incredible new piece of software. Get your copy of The Art of Timing the Trade Charts today by visiting TFNN.com. This segment is brought to you by Think or Swim. For more information, just click the Think or Swim banner on the front page of TFNN.com. Welcome back, folks, to Dow. Dow Industries right now, down 249. You get the NASDAQ off 330. NASDAQ is accelerating down on the way down. And you get the S&Ps off 55. Let's go to our man, Jose and Lakeland. Jose, what's going on, brother? Good afternoon, Tom. Boy, they're still talking about Oscars night from a couple of weeks ago. Wow. I haven't seen a slap like that since Mo gave it to Shump in Three Little Pigs, 1934, an episode of the Three Stooges. You know what? Every day I couldn't wait to watch the Three Stooges. If you don't, so folks, when the Three Stooges are on, we're going back, there's no doubt. And I think I'm older than you, Jose, but I remember, so pitch this, I used to sit in front of the TV and the clock would be going and the American flag would be up and then seven o'clock and I'm on and the Three Stooges would stop, maybe six, whatever it is, the bottom line is that, yeah, I love those guys. Yeah, Shump is a card. Hey, Mr. Linsky and Pudi Putin, they need to have a sit-down like the Bananos and the Columbos. Yeah, Putin's not gonna sit with anyone, you know. No, he's not. Hey, Tom, on this, I thought, when I got filled with my Newmont this morning, my call options, in the twinkling of an eye, they filled me. That should have been the warning sign, look out. Now, obviously they're pulling back with the broader market. Is that what's gonna happen? How low is low for Newmont? This is kind of tough to tell.  It took out the B point on a monthly. It took it out with volume. You know, it has a lot of juice, there's no doubt. And we're talking about, he's down a buck and a half right now trading 79. And yeah, you might take some heat in, man. I don't think, what month do you have the strike on? I'm out to July. Yeah, you're gonna be in good shape, man. This is, when you put this on, this is a powerful ABC.  You don't see many that fail. Well, I don't even wanna say it, but when you get volume like this that takes out swings, you're going higher, man, you know. But we are gonna pull back with the market or this gold, the independent of the market. It's that doll that took off like a rocket ship again.  So you can expect that you're gonna see more juice in the doll, but let me go over to the yen because the yen affects gold like a monster way. And the cool thing folks is this with the yen, that the Bank of Japan, now we're at 123, the Bank of Japan came out when they had this wicked spike all the way up to 125, and they told the world they are not letting that yen go past 130. So I know that's a lot more than 125 where it was, but it's the essence of what they said that, guess what? They cannot have, they're not looking for that yen to get that week. That's the bottom line. So we'll see how that shakes out tonight, but. One of the ex-fed officials, Brainhart is her name, she agrees with you. Recession this summer, inflation out of control and going higher, and she's worried. But I'm going to the beach, keep an eye on things, Tom. I'll keep an eye on for her, Jose. Have a great one and have a safe one, man. You gotta love it. There's no doubt. Let's go to our man, Frank Inglas, the Frank. What's going on, brother? Hey, how are you, Tommy? I'm doing great, man, yourself. I'm doing a little away on the broadcast here with him. I got you. Yeah, doing good. I got you. Frank, here, get my shots on. All right, I like that, man. That's a beautiful thing. Yeah. So hey, tell me about this stock. So it's biotech? Yes. And you know, I don't usually do biotech. Yeah. I just think they're crazy. But I get into this one, I've got a little profit. Yeah. And you know, you talk about the market tanking, but this thing looks awful strong to me. So let's take a look at it. So the low for the year is 110. The highs, 644. Look at this. What's this revenue, folks? This gets interesting because the revenue, you know, last year was 19 billion this year, 16 billion next year, 10 billion. What is intriguing, I read like what they're doing, okay? And what happens, folks, is that in oncology, meaning cancer oncology, okay? That's what they call it. There's a huge amount that is happening. And you know, this is the same type of mRNA technology that they think is going to be able to actually get put in bodies and go after individual cells instead of chemoing your whole self up in a big way and firing it up. So, you know, technically, Frank, I'd stay right there, man. I think this is, I'm so glad to call, man. I'm gonna look at the stock because I didn't have enough, I had enough time to read what they're doing and I know that the mRNA technology is probably some of the best technology that we've had a long time that can go after the tops of cancer cells. Well, cancer cells are the top of your cells, folks. That's what ends up happening, okay? And this is an ABC up, man. You know, last week it took the B point out.  Oh, it's a beauty, man. 50. Yeah. 50. Yeah, I got a target of 218. Yeah, yeah, it is. Yeah. And listen, that won't be hard because I might even get to 252. See that high volume low right there? That's kind of nice. So it can go there. Yeah, I would stay right there, man. And I think, you know, the little that I just read, just add, so technically it's set up in an ABC. The little I just read there, this type of technology, we are gonna see this in the oncology market and it's a big deal. It's a huge deal, man. So if they can target individual cells versus targeting your whole body, people are gonna live longer. People, you know, the cell structure doesn't get as bad. I mean, there's a huge amount of pros in that, man. So, pretty cool. Well, let's try and define the market. Listen, man, what you just said is so cool. It's not to define the market. What you said the first time is that, you can see that stock wants to go up and this market wants to go down, you know?  I don't think people are taking it serious enough, man. It's like, well, you and I have been around. It's like, folks, rates are going up, up, up. And if you think that they're gonna stop, they're not gonna stop because inflation is outrageous, man. I mean, this is... Well, I know it. I read around a lot out there and, you know, there are people out there trying to say that when interest rates go up, the market goes up. Yeah, I heard that too. It doesn't make any sense. No, it doesn't, it doesn't. And what we have out here, this is what we also have, there is, I gotta remember, the financial business is like a young person's business. Some of these people, they're very bright, they come out of great schools, they can be in it at 22, 23 and they're out of it by faulty. Well, guess what? Anyone that's faulty or less hasn't even seen an interest rate structure go up. You know? Yeah. So, it's a different ball game. I can remember in the 70s, we were fooling around with money market funds at 15%. I know. And I was laughing about it in the office. I know. Incredible. It is incredible. There's no doubt. Okay, brother, you have a great one and a safe one. Thanks, sir. Thanks, man. Bye-bye. Stay right there, folks, we'll come right back. We have the Dow Industries right now down to 288. NASDAQ's off 342. S&P's are off 60. We'll come right back, folks. 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So let's go take a look inside the NDX 100 first and see the strength versus the weakness out here. You get Vertec, that's up 1%. ADP is up about 1%. I'm gonna go back and look at that one. Take it away from it. You get that, that a dog is down 6%. You get lamb research is off 6%. Moderna's off 6%. And Marvell Technologies is off 6%. So let's, I'm gonna go back to ADP for a second. Okay, so ADP, this is, of course, the lowest for the year is 184, the highest 248. This is all about data. All about, well, it's all about jobs, really. I see, this is just going up with no volume. Interesting. Put this on a weekly, but this will kind of give you a good indication also of, so you had a player come in at three weeks ago. You're going up to the highs, you got a contraction of volume. Yeah, this will probably, you can get to the high, 248, there's no doubt about that, but there's nothing, to me, I wouldn't be buying this. I was really looking at that. I was looking at that more so to see what's going on with the broader picture. That's the bottom line because when you take a look at that broader picture, you know, it kind of gives you an understanding of where we are. Now, as you come over to our website, folks, at TFNN, you know, of course, Basil's gonna be doing his workshop. That workshop is gonna be the April 13th, but we have a great trading room up and going. We've had a trading room for a long, well, for years, 20 years probably. This room here, we use Discord to do it. It's a phenomenal trading room. We have all the Tigers and Tigers, as you're gonna see, Tigers and Tigers that you've heard on the radio and haven't seen, and it's just a great community. And it's only a dollar a year, folks, okay? So if you want some great ideas, you want some understanding going back and forth, great camaraderie between Tigers and Tigers, come over to our website at TFNN, hit the Tiger Trading Room. It's only a dollar for the whole year. You'll be happy you did. It's very active from seven o'clock in the morning, folks, basically at four in the afternoon. You know, and then it starts up again at seven and eight, but it's not huge then, but at seven o'clock in the morning on, guess what? You wanna understand where the markets were overnight. You wanna understand what people are looking at. Really cool, man, really cool. Some of the high volume equities out here today, and this will be, well, no, actually, I wanna see what this will be first, because I believe, because we got up higher, yes, with 604 right now, we did 958 yesterday, and then the composite, the composite right now is at 3.8, and let's see what's gonna happen here. This is, when we use a time in the trade model, well, look at that, no, it didn't go higher. See, the composites never went higher yesterday, interesting. So the composites going after this swing area from Friday right now. That area is 14131, we're at 14194. So you're gonna see some destruction. Window dressing is over, earnings are out there, but guess what? They're gonna have to have some heavy earnings, man, in order to basically convince people that the inflation's not gonna grab them and that we're not gonna be pulling back on growth. Some of the higher volume equities, look at this. Okay, so if you're watching Tiger TV, this is very unusual, folks. Normally, there's not one green equity and the top 30 equities that are trading. You know what that means, folks? They're selling everything. I mean, they're selling everything.  Let's go see what the oil patch is doing. We'll bring up Exxon Mobile, take a look at it. Okay, so even Exxon wants to go, wants to get a lower end of its consolidation. Look at that. So Exxon just came into its swing area today. The swing area we're talking about is 85, it hit 8507. You're coming into 22 million shares, you only have 17. So we'd have an Exxon there, it couldn't get higher. Guess what, it's gonna try to get to the lower end of the consolidation that it's in. That lower end is $79, right now you're at 82. If we go over right to the oil market itself, we take a look at the oil market. Oil market is down 285. We are dealing, okay, so, it's the same setup, man, interesting. Yeah, this couldn't hold price today. You can see, I see how light that volume is in the oil market today, 253,000 counteracts. You're going into 450, so that's saying that oil's gonna basically go back down to 92. And we'll see how it shakes out at that particular point, but that's how that's set up. This is, we're gonna have some fireworks here. It just, it really matters that, okay, with the essence of kinda will, not kinda will, will we are? And why someone would basically buy in this market at this particular point, you know? There's no doubt you had the sunshine boy Elon come into Twitter, there's no doubt about that. But the, you know, the thing with Twitter, if you, you know, Twitter did come into lows, man. It's almost like, you know, this guy was, you know, technically kinda looking out at two because we didn't look at Twitter, they can see what it did. Okay, so it came back to its consolidation. Now, see what it did, watch what it did here. So the consolidation had volume of the bottom of 586 million. Well, four months ago, it came back with 357. Then it had 400 and it was still going into 758. So bottom line, he has something there, man. I mean, real question is, is that will it take down with the broad market also? I suspect, you know, after a couple more days it will. I wouldn't be shot in Twitter though. That's the real bottom line. I would not be shot in Twitter, you know? Let me just see what the shot position is right now. So the shot position was 5.7%. There's some hurting out there with that being 5.7%. There's no doubt about it. That's a big number, man. That is totally a big number. Let's go take a look at Amazon, one of the big king dogs out there because Amazon's been in this consolidation also. So Amazon right now is trading down 95 bucks. That looks like it's gonna also basically try to get back in its lower range. Now, Amazon's lower range starts at 3,276. Right now, you're $6 into it. We're 3,270, you know? So you get one more day like this and guess what? It will set up again, you know, a 2,600 Amazon, which is, you know, these moves, man. Look at, Amazon just went from 2,671, coming off the bottom on the 8th of March, going up to 3,400. You're talking about monster, just monster moves, man. And I don't think those moves are gonna stop. The difference is that the counter trend bounce was amazing, no doubt. And guess what? It's over. So protect yourself, folks. Bottom line, you know, remember something. Yesterday's gone, tomorrow's not here. What am I doing right now? In the stock market, whatever you bought a stock for, that was yesterday. You don't know what the price is tomorrow. When you're mocking your portfolio, where it's at right now is what you can get for it. The first one's out, get the most. Because as it keeps going down, guess what? It's harder to get out. Stay right there, we'll come right back. Sharpening your skills as an investor is like getting better at playing a musical instrument. You have to practice, sure, but you also need excellent instruction from experts. At TFNN, you'll get advice and guidance from the authority and technical market analysis. And it's not just dry, tedious text either. TFNN airs live financial content streamed live on TFNN.com and TFNN's YouTube channel with Tiger TV, live every market day from 8.30 a.m. to 4.00 p.m. Eastern for free. Each host is an experienced trader and gives their take on the market while taking calls and questions live from around the world. 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The target first mortgage program may be just the program for you. The target first mortgage program pays 7% per year, paid monthly. For more information, you can call<PHONE_NUMBER>. That's<PHONE_NUMBER>. Don't forget, you can listen to TFNN live on your mobile device 24 hours per day. Go to TFNN.com and hit Watch Tiger TV. That's TFNN.com. Then hit Watch Tiger TV. Welcome back, folks, Dow. Dow industry is right now trading down at 297 Nasdaq's off 326, S&Ps are off 59. Let's go just inside the Dow and see what we have. Red versus green out here. So we have inside the Dow right now, you have putting green into it, you got United Health putting 42 points, Big Mac, 10, Johnson and Johnson's seven, taking away from it. Salesforce minus 59, you get Boeing minus 55, Caterpillar minus 32, and Goldman minus 28. Microsoft is next, coming up the rear minus 27, MSFT. Let's just go take a look at Microsoft for a second. Okay, so this will be interesting. So let's see what we did the whole way. Okay, so Microsoft did that, they didn't do a .618 retracement, just over a 50% retracement. So that puts Microsoft, Microsoft's game from the bottom too. You can see this, if you're watching Tiger TV, these are all high volume lows, man, at the bottom. So Microsoft, 270s game, right now you're at 311, and guess what, we were just there, we ran all the way up, and today you don't have volume on it, meaning coming out, but if you get volume coming out of this, when it's going after the lows of Friday, which I expect we're gonna go after tomorrow, game is, here we go. JP Morgan, let's go take a look at the Quick Banks because we were looking at those last week, and even with the inverted yoke hold, curled rates going up, banks are getting smoked, yeah. JP Morgan's going south. It's down to buck 66 right now. I put this on a weekly, man, this is trouble. JP Morgan, this could be a big ABC town. If it is, it's gonna be 159. So you got a little 33, which you get at 110, where's 110? This thing's going to 110, man. There's a gap that's open at 105. That's the next leg down. This is serious business, folks. The banks, if the banks are going down at these levels, guess what? You better take this thing seriously. Always remember, folks, to bank and claw your heart out, the bull can run you over, and thank God, there's always another trade. Health Tap is a prosperity. Have a great night, folks. Have a safe night. Come back and visit Tommy tomorrow. He kicks us off at nine o'clock in the morning. Great show. Don't forget about our Tigers Den trading room. It's only a dollar for a year. Be out here growling and proud when all the Tigers and Tigers is getting some great ideas. Have a great one, folks. Have a safe one.


Yo what's good YouTube it's your boy RealisticGaming here and yesterday I did post a poll on my channel and I asked you guys What should be our next video and you guys voted for scary video reaction? All right, so you want a reaction then let's get a reaction man, and today we are here on Dr. Bob's channel We are gonna be reacting to one of his videos called SCP 966 sleep killer Now if I'm not mistaken this SCP kinda looks similar to SCP 096 They look very similar except that SCP 966 has 966 has like these long sharp claws. Let me show you man Yo, why is it bell like that man? Why do his legs look so freakishly weird and they're bent at like an angle? I don't know man I don't know how he's able to stand up like that. He looks so weird looks like a turkey or pigeon. I don't know And also let me know what you want our next video to be after this one Let me know in the comments below or what other SCP you guys want me to react to and make sure to slap the like button guys Because it really helps out the videos to get recommended and whatnot and make sure to drop it in the comments All right, so let's begin with this and turns in bed He adjusts his pillow and try sleeping on his back his side his stomach But nothing who sleeps like that rolls over to check their face down 3 a.m This is the third night in a row. He hasn't been able to fall asleep.  He can't concentrate in class. His what the heck was that on the drain Even his hobbies become completely unenjoyable. Oh Man, do you guys see those clowns and family can tell something is wrong It's as if he's become a different person and they urge him to go look right, but the doctors tell him There's nothing they can do for him. He's perfectly doctor doctor He should try some natural remedies like valerian root and why is it shaking a doctor scared of How many days he's been awake now four five maybe more What this point the lack of sleep isn't even the worst part. It's the hallucinations Sometimes they're just a shadow dancing outside of his vision But others are incredibly vivid feeling more real than his now dreary life does It's kind of like see paralysis to work and I've had that word very scary for more than a couple of seconds at a time You're fired don't want anything to do with him And that's messed up or still can't sleep uncontrollable mood swings and lashes out for no reason He's tried every sleep remedy. There is he took the doctor's advice and exercised as hard as he ever has oh But with never being able to shut down. He has no energy left. Oh boy. You need to get some sleep man zombie He gets up out of bed, but loses his balance and collapses to the floor. He tries to get up but he can't He'll just lie there for a while He starts to drift away and he readies himself for the night. I'm a pass out always wakes him back I just fall asleep on the floor It doesn't come The wave of sleep that starts to wash over him feels different this time though More peaceful and more Hermanent so he's stuck like an endless dream or something is SCP 966 also known as sleep killer SCP 966 is the designation that the SCP foundation has given to a creature that belongs to a group of anomalous predatory beasts standing 1.4 to 1.6 meters tall and weighing roughly 30 kilograms These hairless humanoids have an elongated face a mouth full of pointed needle like teeth and each of their hands has five razor Sharp claws that can be up to 20 centimeters in length Though unlike humans and apes they are digit-egrade meaning that they walk using only their toes under toes But you won't be able to see the horrible visage of SCP 966 under normal circumstances as they are only visible under very Specific lighting conditions. They can only be viewed under light that has a wavelength between roughly 700 Which is just the edge of the light spectrum that's visible to humans stretching into what's known as infrared light Exception to this is if their skin muscles or organs have suffered from second or third degree burns Oh in which case the affected areas of their body will show up under a greater spectrum of wavelengths that are visible to the human eye You gotta burn the man to the man SCP 966 are actually quite weak physically with very low muscular density I figured he'd be strong similar to birds and while their claws are very sharp They're like mutated pigeon making them unsuited for use in combat Bro, he broke his own hand. They do not rest through sleep But will at seemingly random times stop all movement and fall into a rest period that lasts roughly three to five minutes After which they are able to resume their normal behavior three to five minutes all of these physical shortcomings How did SCP 966 gain a reputation as such a fearsome hunter the secret lies in their ability to emit bursts of a Hunting either alone or in pairs SCP 966 Uses this wave to inhibit its praise ability to enter any of the restful sleep stages and also stops the ability to micro sleep These waves have been observed to be effective at up to 20. They keep you up no matter what I've shown that they can be blocked by post transition metals of which lead appears to be especially effective Oh not the dog you can eat the cow it's okay And once their quarry has been targeted by the sleep inhibiting waves The effect is permanent with no method having yet been discovered Experiments have shown that unconsciousness can be induced in other ways such as with the use of general anesthesia Though these methods have ultimately proven to be ineffective since although the victim is unconscious They are still not receiving any of the restful benefits of sleep while in that state The effects of sleep deprivation on humans both mentally and physically are devastating Symptoms can begin setting in after just 24 hours that can include mood swings memory issues and sensory impairment After two to three days the body's hormones become deregulated and bodily functions like hunger thirst and temperature Fluctuate wildly as cognitive abilities start to dramatically decline hallucinations paranoia and fits of rage are common And the risk of death from sleep deprivation increases with each day that passes without sleep And this is exactly what scp 966 wants After surreptitiously sending a burst of sleep deprivation waves at their victim They will then stalk their prey until lack of sleep finally leads to total incapacitation At which point scp 966 consumes them the size of his mouth scp 966 have proven to be both extremely quiet and agile when hunting However, they have actually been a tierless predator threatening noises around their prey Presumably to further increase their already angry stress levels And but he can attack you while you're away On rare occasions. They will even physically assault their victim to further degenerate their mental and physical That's the last of his whole arm some of scp 966's prey will experience especially intense hallucinations and bouts of rage Which is theorized to be caused by prolonged exposure to multiple instances of their sleep stopping waves Why some victims are exposed to multiple waves when a single instance has been shown to be 100 effective is unknown And it's hypothesized that they may only engage in this behavior when especially hungry to try and speed up the process Though others have put forth the theory that scp 966 may take some perverse form of joy to the top of skulls Like crack as an opening Wild instances of scp 966 have been found across the globe And while the scp foundation has been successful in thinning their numbers They still exist in high enough numbers to pose a serious threat to humanity For these reasons they have to sign a classification euclid Mobile task forces iota 1 and iota 2 Codenamed the dream hunters and air chasers respectively are continually monitoring for any reports of sudden or violent deaths related to sleep deprivation In order to identify and neutralize the remaining instances of wild scp 966 four scp 966 specimens three males and one female Have been acquired by the foundation and they are currently contained in a 10 by 10 meter room that is lined with lead And equipped with infrared security cameras Each specimen is fed 20 kilograms of meat each month and in the event that the female specimen gives birth The new specimen is to be taken for observation and study before being disposed of prior to reaching majority Now go and watch another man with the babies are like and be sure to subscribe as we delve further and further Into the scp foundation's classified archives. Awesome. Thank you. I've seen enough Wretched guys. Well, that's the end of the video You guys know what to do is to smash like subscribe turn on notifications for your boy and I will see you on the next one. Peace


Alrighty, awesome. Well, thank you for coming to our birds of a feather, the first one we've ever done. We titled this, What's Interesting About Open Source Software Developer Communities to You. And we intend for this, as the title suggests, to be a conversation about what you consider to be important in open source community data visualizations and more pointedly, what you're currently thinking about if you will be providing a couple of leading questions that we are currently working on to kind of set the stage. But any conversation about what you're currently working on is absolutely welcome and we're excited about it. Next. So this is just a formalization of what I just said. So we wanna work on our incubating thoughts all together, get a bunch of brains in a room and talk about what we're doing. And then maybe if it's interesting, discuss patterns and anti-patterns of community analysis, stuff that you've noted in your experience that definitely works, signal in the noise and stuff that misrepresents what you're trying to do or that you think is ineffective. A little bit of background about Callie and I before we get into our own conversation we are a part of Red Hat's open source program office in the community data team. My name is James Constell. And I'm Callie Dolphy and I'm a data scientist on the open source program office at Red Hat. And so for the last like year, two years, we've been working on a project that is focused on visualization and analysis of community data. In the last nine months, we've really bootstrapped in the direction of a formal project with three components all titled under the project heading of OSS Aspen. The mostly publicly facing component of that is a data visualization web app called 8Knot. And we do a lot of open source research with another sub component of OSS Aspen called Repel. The forward facing application 8Knot interacts with the database from the, or uses a database from the Chaos Foundation, Augur, which creates a relational, post-crest database of developer events. So community data commit logs, issues, pull requests, interrelationships with a lot of meta analysis of those data events built in. Yeah. Yeah, we can, and we can show that afterwards or during, yeah, come join, we just, the boss is just gonna be, after we finish doing our introduction, just a conversation about this, so come join. Yeah, welcome in. A little bit of a clear cut roadmap is we started using Augur as our data set in like 20, 22. It's an awesome, it's an awesome database and data project. It gives us really convenient access to a lot of powerful data that we've been using for research and visualization. 8Knot is an analysis platform that right now is mostly visualization centric, but we're building in network science tooling and it's Python all the way down. So it's gonna be focused on bigger computation workloads as time goes on. We've covered this for the most part a moment ago, but just to reiterate, 8Knot open dashboard, repel open research that feeds into 8Knot for public visualization and consumption. So to move directly into the boff component, the real meat of what we're trying to accomplish here, we have some stuff that we've been consistently thinking about questions about open source analysis that require a bit more delicacy or are difficult to start with beyond time series metrics. So we have like eight questions that we've been thinking about internally that we would love to share and get your thoughts on, but this is first and foremost, birds of the feather meeting. So just setting the stage of the stuff that we've been thinking about, we've been focusing on project risk, affiliations, what companies and individuals are interacting with a community at the contributor level, GitHub data, anti-patterns that we're trying to avoid in our analysis and not mis-publicize a pipeline that doesn't make sense with an ethical or scientifically robust paradigm, sustainability with respect to long-term project and ecosystem health, project potential, identifying nascent, up-and-coming projects. It's some awesome work in Red Hat, some emerging technologies group that looks at that problem. And last on the list, but certainly not lowest in precedent is anything else that the members of the community here find especially interesting. We would love to talk about it as well. What do people wanna talk about? This is when everyone gets involved. And so for each of these sections, we have different like other leading questions and pretty much from here on, what we can do is go pick one of them and just start openly talking about what type of things this can go between like actual, like what is the data we're trying to look at here? How are we trying to analyze it? What do we care about in different strategies? We can, like I said, this is all gonna be an open conversation. So let's just, I said even one person, we can pick one and get started. All right, thanks for asking the question. Yeah. Yeah, so this is like, this is something that like personally I've been like really interested in is like trying to figure out like for different communities, what do people view as like the biggest risk signals of whether it be like some type of like, maybe it's unhealthy behavior within maintainers. Is that going to be a really big sign that shows maybe a potential issue within the community? Is it like, or is it like commits activity? Is it like how many like events, if like the event attendance or the amount of events around this community have started to go down, but trying to just talk about like where, where do people see risk to be in their communities? Yeah. And I feel like this kind of goes into something that came up during, oh yeah, I probably should. Just for the sake of the recording. This actually kind of came up during a discussion during ChaosCon that like sustainability was like, okay, that's like the long-term trajectory risk could be something that could be like a more like a downturn over time, or it could be something that's like a specific stop point. Like something that came up was the idea of changing and licensing. Can be something that can just stop an entire project in its tracks and change its entire direction. So I guess it's like risk could be seen as the inverse, but it could also be like very specific like spikes that could cause dramatic change within the community. Yeah. So guys, I kind of jumped into the middle of things. And so I understand the general purpose of Chaos project. But so we just did a talk on the map of science. And so I actually take a like different view of users. Like there is much broader view of data mining and open source projects, right? So you can like, correct me if I'm wrong. So I understand that you basically guys are focused on kind of open source for the sake of like understanding how open source works and as open source maintainers and so forth. So there is a narrow case. The wide cases, what do you use open source for in general? Right? So I'd like to have from open source science perspective, I'd like to find, you know, for my post science project, all the open source projects who serve science. And there the sets of questions are, for instance, right? If you want to pick up a project for science, you want projects which have contributors from multiple organizations, right? For instance, multiple universities. I want to ask a question. Do you have collaborators from multiple universities? Do you have papers? So I want to have rich metadata associated with open source projects. In addition to open source software, I want to have data sets, machine learning models. You know, instance like this.  So I wonder if you guys consider this database, you know, general purpose, right? For how can, for instance, someone ask questions about like how this open source is for science? Can you identify, you know, can you reach it with, join it with additional data sets from like chance of recognition from, you know, open source mentions in scientific papers, things like this. So can you talk a little bit about what are the plans for this, you know, accessibility and so forth? Yeah, we can talk a little bit about, I mean, Augur specifically, whenever it comes to the data that goes in there, it can be used to analyze any style of open source projects. It actually has some data, has some tables that are specific towards academic projects. And so, but you can also like say like, it has anything under the sun that you could possibly want around repositories. And so I feel like you can kind of start to break down the question of, okay, there are a difference in how we should analyze maybe more, whether it be viewed as like corporate or more like those style of projects versus academia style. And like does risk and these things look different from those, like those two is like different sides. And so the data is, I would say is the same, but how you'd analyze it is probably gonna be really different. Cause you're not gonna care whether, I mean, you might care about what companies are involved but it might matter a lot more. We're like, okay, what universities are involved? What are the, what's the research around it that's not just specific towards like what's going on in the individual project? Yeah, I'm gonna give you an immediate example. I saw basically in the open source science we're concerned with what we call abandoned ware and graduate students write a bunch of scripts and then they graduate or professors move the job. So this is so typically, right? If researchers write software, it doesn't have documentation, it doesn't have tests, right? It doesn't follow best practices and then it's abandoned, which is very tragic. So ideally, you want to monitor, like when they start committing code without tests or documentation, you want to warn them and you want to teach them, right? Like when we talk to replete another, like this is a golden age of programming, you can actually tell them, go to chat GPT and ask it to add tests to your code, right? Like ask it to document your code. I mean, you can do amazing things now. So like, I personally like to figure out, like can we monitor, can we put a GitHub hook on it?  I mean, I think there can be a whole bunch of fun things you can do to prevent, you know, abandon aware from happening, right? So I can kind of, I'm curious, right? Like now that I hear about it, what you can do. Yeah, and like another question, and we can go here as well as like, okay, we're trying to go back to like the overall question of risk. Like what is the differences within some of the people in the room that might be participating in more academia project? What does risk look like there? Versus what does risk look like in different projects? Your Kubernetes, your projects that are deeply tied to upstream products. And so I just wanted to kind of like see how we can like tie things back to like some of the overall questions. What I was hearing from you was that you were identifying a couple of axes on which there is an overlap between the risk that you might see in a project you're especially interested from a scientific perspective and some of those are less like immediately tangible like code test quality. Like looking from 30,000 feet, you can maybe look at coverage, but quality of tests can be difficult to measure. That's where it's, yeah. But it definitely like speaks to me that there is an intersection there, which is a measurable indicator of risk in some respect. Well, and also to add to what they're saying too, the whole point of project chaos is to devise atomic level metrics that you can string together and form whatever question you want answer, you know, you've got a hypothesis, what data am I looking for to prove that hypothesis? And really, Aspen and Aitnott and Augur, all of these tools are following that line of thinking because every community is different. Every ecosystem has their own idiosyncrasies. So the short answer to your question is yes, you would be able to use this to do open science related things because that's the whole point. These are trying to be as community neutral as possible. And I'm gonna basically stand up and hand this out.  We did like a very basic introduction of like the specific work that we do. And this buff is just to literally talk about different topics and see what people think. These are the questions that we have like about six different groups of questions. And so yeah, like we're just kind of, this is a conversation, like there's a microphone and technically we're the ones here, but like everyone's, this is to talk about, like you can also, if people have more things, they wanna talk about for risk, we can go there and we can, or we can move on. I just wanna, this actually might be a good transition point to see if anybody else once has anything specific around risk they wanna talk about or we can move on to like some of the next topics. I'm actually gonna get a timer for them we can get an idea of how we're moving since we have good discussion going on.  I was thinking that what we could do is just go through the questions we have and not try to address them in that moment, but just so that you see the full breadth of the things that are on our minds and we're, like I said earlier, for those that came in after I said it, like that final column of anything else that you're currently working on and excited about, we'd love to work on that altogether. So there are a couple categories, risk, which was on the board when you came in. Affiliation, one of the things that we were looking at is how can we, for the general case, look at affiliation inside of a project. So looking at the emails of all the contributor events in a GitHub repository, commits, issues, even if they're not, even if you can't resolve a GitHub username to an action taken, like if a user, or excuse me, an email to an action taken, you can just have a username and you know all the emails they've used. How fine grained is useful affiliation data? Is the presence or lack thereof of individual groups, especially important at a magnitude level? Sustainability is, I think, the third of the six topics. Could we consider popularity as a part of sustainability? Sophia Vargas had an excellent talk at ChaosCon talking about sustainability and the long-term staying power of a project. Could popularity be a part of that? Is there a way to measure that? Meaningfully, in the general case, without relying on more ephemeral measurements like down-modes, which aren't always a great indicator and are often tricky. Anti-patterns, what we might have tried to do and has not worked gotchas in the world of like trying to get specific data points. And then project potential, I think, is the final one of these. So what indicates that a project is up and coming in some respect? If you were to see a project in its infancy, what might tell you that it's going to be something major? Is it an influencer effect? Is it how it exists within its ecosystem? These are just the food for thought questions. So if anything spoke to anybody that really energized you, we'd love to attach to that and think about it together or if you have something that you've been working on that you'd love to share. And just as a, I'm going to start doing like a five minute timer and then right at the end of the five minutes, we can just as a group be like, okay, do we want to move on? Or if we want to stay on this topic just to keep conversation going. So as a community manager, I'm not so much concerned about like project metrics, more about people metrics. So I don't care about like lines of code in a repository, but I do care about pull requests and who's making them and who's reviewing them. I care about who's connected to who and who's connected to the most people. Or we saw the graphs earlier with the projects and the different ways of displaying that, being able to see that for my community and see who's important and who's upcoming, who's becoming more and more important. But more importantly, it's what do I do with that data once I have it? Like how do I turn those numbers into an action item for me to do or for somebody in my community to do to make my community better? So a lot of this, like if you just take project and substitute it with community, really speaks to me. I have a follow up question then, like what, if the people is what you're really concerned about what is your direct, like what, like if we're taking data aside, what is your questions about the people? Like if you can, if you have any question answered. I have a lot of questions to answer. But the big question is today, who do I need to get in touch with and what do I need to talk to them about? Awesome. So I feel like you can, I'm just kind of going off of the stuff that you have said and like seeing like, okay, whenever it comes to pull requests, I think about, okay, who created the pull requests and who are the maintainers that are involved with it and trying to see those activities levels. I'm gonna, I've been really focused on like most people who've talked to me this week knows that like my brain keeps on going towards maintainers. And so if we're seeing those activities, okay, what are the contributors? Who are the people opening it? And is it dispersed or is it only a few specific people? And then looking at that from a maintainer standpoint is like, okay, is only one person having to carry all the weight and do I need to go talk to them and figure out if they how, like where, how are they feeling or starting to figure out. And I thought, who said this in chaos kind of like, okay, so these are the contributors that we're seeing often maintain, there's a maintainer that's being really heavily dependent on how can we connect those two and maybe transition some of those contributors to now be on the maintainer side and like have those people communicate. Let's, yeah, yeah. Is there a way that that data could work? Like I'm trying to think of a framework where this would work in an anonymous sense because one of the things that we're committed to at least for a publicly available dashboard is that we're not gonna tell you individual GitHub IDs in the first place. So is there a way that we can, from your perspective, localize that kind of activity to like a group without naming names? Would that kind of thing be useful? Right. Yeah, let's, do anybody else have some thoughts around this? Cause it's actually, I feel like. But I'll solve my dashboard. Yeah. Yeah. Let's see. Anybody else have some, yeah. Does it matter how big the project is in order for you to be able to draw any, like some of these metrics out? Like, does it have to meet a certain threshold? We have. If it's only like two people working on a project, it could be healthy, it could be dead. I mean, what's. It's a really good question and it's all context dependent, I think. The consumer of the project, if they're also, or the consumer of the visualization or analysis, if they're the person working on the project, will know to what extent some behavioral pattern feels good, doesn't feel good. So from the like consumer of the visualization person who's also in the community, that's pretty obvious. Looking from the third party perspective, it can be difficult to know what like, what bells and whistles there are for like, oh, this does not look like it's adhering to what I would imagine to be healthy. But from a data perspective, the tool we have collects the data on any git shaped repository. So it's not limited in the sense that like it's, there's too small of a repo. Okay. On top of that, I would say that as, that the two accesses that I always, if I'm looking at something from a third party where I don't know that much about the community, I like looking at, okay, we're trying to figure out where I feel like they are on the maturity cycle, cause that's gonna change how I view some of the metrics, as well as like age and size, because those are gonna like, just because somebody has like, or the project has like lower activity, it doesn't mean that it's necessarily unhealthy. It's just more like looking at the overall size. If you look at like a graph that shows overall contributor growth and you start to see that the active contributors went from, I don't know, 50 per month and goes down to 10, that's very different than a consistent, maybe 10 or 12 that has stayed in that space over time. So I think it's important on those type of things. You can look at the different sizes from these views. You just have to take the lens of it. And then if you're personally like knowledgeable at the community, something that we've started to see is that when people start to look at these graphs, there's different anomalies where they'll point out and be like, oh, I know this happened. Like there was an event that happened right here. Major community decision happened and now they can kind of see from a higher point of view how that impacted activity overall in the community. I'm gonna go to Michael. Yeah, I just wanna follow up on your question a little bit. So I'm to think about like metrics that we can actually measure, right? So when you're trying to identify these like influencers in the group, I assume they're probably communicating outside of GitHub like on Slack or something. Yeah. Okay, yeah, but like even let's like assume that they were doing all of their communication and issues before PRs were pulled or they're communicating in PR. So all that information is actually on GitHub. Is that in the auger database at all? So there is like the whole conversations that people are having. Yes, which is something I find super interesting that you can start to see those conversations, the messages on issues and pull requests. So you can see how like the interactions go. Yeah, and have you started to do any analysis on that data set? Cause that seems like really rich for? No, but it's really early in the roadmap. Yeah, I would say that's something I would expect to start seeing within the next three to six months. Okay, cool. One of the things that auger does, which is really nice is as a part of ingestion and organization of the data, auger does, auger has a lot of tooling for message analysis. So some of those deeper insights are going to be really interesting to work with. Relational database structure. It's like you can see, not just you're like, okay, these are how these people are interacting on the issues. You can identify those same people as if they were talking on the PR, if they're opening their PRs versus commits. And a lot of times because of the, like you're not able to identify those connections by like an unstructured like data. They were like doing it in a different structure, but that relational database makes it where like those type of like analysis points are possible and like a realistic way without having to do mountains of pre-processing. Hey, so I've been hearing a lot about like communities and activities. And I wonder how do you define an active community member? Is it someone that pushes code? Is it someone that responds issues? And how do you all define that? It's a good question. I came over here just so that I could talk to you directly. It was awkward to talk to a woman. And like that's, we have our own ideas of how to do it. I wanna make sure that the group, like everybody has an opportunity to speak to it, but from our perspective, everybody who engages with the process of developing software is a contributor. So the people who submit issues, the people who write back on those issues, review pull requests, review documentation, help write codes of conduct, help create artistic resources, are a part of the equation. It is not an uncomplicated question to say, from the peer code perspective, how much do you value the contribution of an issue? Because you can say it has a non-zero value, but I wouldn't intuitively say that it has the same intrinsic value as a pull request. Would open that up to the group for sure. Yeah, because I think there's a very clear differentiation between like a contributor and an active community member. Because a contributor could be a one-time contributor that just like they had a problem, they submit a pull request and they leave and they never come back. And they're a contributor, but they're not an active member. From the literature. Sorry, please actually. I was just gonna say like, I think like comments on a pull request can be just as important as the pull request. So, you know, if you're saying like an issue is not as important as a pull request, I think a lot of like the maintainers get less and less time to do actual pull requests, but they invest a lot, it'd be easier for them to just write the pull request half the time, right? Right. So you, I don't think we should undervalue that. The comments. Totally true. Yeah, so for me, I do distinguish between contributors and active members. And for me, an active member is anybody who has an interaction with anybody else in the community, whether that's a pull request or that's just saying high on slack. That's activity in the community. So they're an active member. I typically put like a one year window on that. So like if you've not done any of that in a year, then you're not active in the community anymore. Yeah, to that point, I think it's also important to not only track the kinds of activity like codes of conduct, code commit within the GitHub repo space, but also monitor the ecosystem around it. Cause there might be members who might have binding votes to that community who may not be pushing any code or directly committing, but in terms of the project sustenance, in terms of funding for the project, it's important to know who are the key influential players who have a say in that community's future or its sustainable health. Yeah. Yeah, I think that shows kind of like the next step of like, okay, once we're starting to get comfortable with the GitHub style data, okay, how do we start going into those next steps of like, okay, how do we look at that data? Is it like how are those different communication platforms? And that's gonna be a lot more like community by community like unique. To your point of like, how do you know which of those type of contributions are better? And that's something that we are also trying to look at from a graphical approach. Not sure if you were there in one of our talks, but it's closely related to what Callie and James are doing, but from, which is why in a more statistical approach, when you're like trying to visualize it from a graphical perspective of a community, you try to look at the edges between all these nodes, which is why we did this approach. And those edge weights can vary depending on the type of contribution. So let's say in our view, a PR request is has a higher weight compared to just like commenting or just reviewing or just opening an issue, but never actually actively putting towards the code, right? So that's kind of how we also try to like add weights and values like James was saying for each of those type of contributions. So just like adding some more light into how we can try to differentiate those. I'm just a little interested. Maybe I missed the beginning, but like it seems to me like these questions and abstract of what you want to achieve are a bit difficult. Like in your case, you had a very specific use case where like, hey, I want to understand somebody who's like helping people with initial contributions because that's valuable and I want to support them, right? And I could see like in our case, we'd like to see not the people who made their first commit, but like maybe their 10th commit or like who's people who look like they may become long-term contributors and how can we help them? So like understanding that versus like, I think I'm thinking as we were talking but it gets a little dangerous to start to be getting into, well, we've taken a rank of all the contributions and actually, well, this person's ranked high, this person's ranked low, that's gonna lead to people gaming the system and what do you get out of that was my question back to like, what's the goal, right? I guess that's kind of why we're having this conversation because I know that like honestly, that's like the whole, that's why we wanted to do this is that everyone has different perspectives and like goals and what they're coming from like visualizations wanted to hear what different people's questions are and as you're saying like, what are the concerns about measuring these things and why we should or shouldn't do that? Like there's a lot of care that needs to get put into like putting out visualizations because it can influence action. Yeah, no, and going back to that, I think that's a great point. One of the biggest like most common, let's go like bad practices that I see is jumping directly to the goals but don't think about what's the problem that you're trying to solve within your community. So a lot of the times we jump into the solution without initially considering what's like the thing that I need to solve first and then you can find the tools and tools can be like events and can be like sending a message to someone or whatever to solve that like problem statement that you're finding in your community. And then so speaking as like with my red hat manager hat on what are the overall goals for why we started this project in the first place was to answer broader questions about sustainability and risk for ourselves because if there's going to be a trouble spot in a project that we are directly working with we would like to know about it. And then our customers and our partners that is the number one question we get. I wanna know, if I'm gonna be doing this whole open source wacky community thing, I wanna know how we can tell if this project that we wanna work with is gonna be around tomorrow. Literally I've had that question three or four times. So I appreciate what you're doing because and I think we could get there. But right now our goal is more like how do we make sure that community is aligning with business interests because in the past we've done this with our guts as community managers. And now we wanna be able to kind of quantify that quickly and say from a business standpoint this feels like a solid community to get involved with and go from there. So that's, I just wanna kind of give the perspective of where we're coming from now it is certainly not the only direction we will be at but that's where we're kind of coming from now. Yeah, so I'm Tim, I was a little late so I may have missed that and I work with Alexi on open source science. So what I could see here as a use case as we build out the map of science that we've been kind of brainstorming I could see like a simple traffic light system where you have the open source project in let's say cancer research, right? And as soon as something goes into yellow we get like a little ping and says oh there's something happening out of there could be hundreds or thousands of projects that are in such a region of science, right? And then that could be interesting for funders that could be interesting for other organizations for neighboring projects up and downstream and all that stuff. So I could see something like that. One difficult thing if I can just directly comment on that is like from a metrics perspective and from like a hyper ecosystem perspective the yellowness of the project is almost impossible to quantify in a lot of ways. So just green and red then. But yeah, like. I guess yellow could be just like okay what are we starting to see like identify as like okay should we pay attention? It doesn't mean necessarily something is wrong but maybe more. That's something that I've always been looking at. It's like okay what is a signal to look into more because there's a thousand and one things that we all have to do and look into all the time. And so it might not always be that there is a problem but it's something to mean like this is a little bit off than what we've normally wanted to see. Let's look into it. And if you spent five minutes looking into it and you're like okay I feel comfortable with what's going on here. You could move on but there's no way of it might just be something to help manage time. Oh yeah. And with like I feel like with academia it makes it a little bit easier because you're starting to you're seeing a very similar style of projects. Versus like if you try to compare an academia like to use the same standards to compare an academia project to a large scale project that has multiple different companies that are deeply involved with it that's comparing things that are completely different. Yeah. I think from Brian's description that helps a lot like if you're looking at it through a particular lens because if it's to say which projects do we want to invest in that's a much different lens than how do we help the projects help themselves or something like finding the people who can help the project become more successful. Versus like because the risk there's like there's risk of us the project going bad or there's like risk of anyway depending on the lens you can you really have a it's much different and I think taking one lens is probably going to make your question much more manageable because otherwise it's like in what you're just saying like an academic project you might just say well those projects actually are not ones we'd want to invest in because of you know once the person graduates they're over right. So I don't know but it's very interesting to have that that lens. So just bringing it back around to community for me I do get a ping if a person has like if I set my threshold of 10 commits as being like a significant milestone I get a ping when somebody hits their ninth commit to say hey this person's close reach out to them help get them over the edge or if somebody's been active and then suddenly has not been active I get a ping saying hey this person's not there anymore you might want to reach out and see what's going on. I've had a lot of success with that one just reaching out saying hey notice you haven't been active hope everything's going okay let me know and just find out you know they took a break and they're you know now they're wanting to come back and they'll come back and they'll participate again. One of the things that I am hearing and I'm tying a couple thoughts together here is that there's massively different operationalizations of these different metrics like metrics taken as like stitches into a patchwork quilt of perspective fuel different actions because what I'm hearing is you know from the Red Hat customer perspective they want to know what couple indicators look at sustainability and what I'm hearing from from the community manager maintainer perspective is how can we enable our contributors to continue to be a part of it and to invest in longevity by being a human element. And so one of the things that I'm at least finding with metrics in this space is that Callie gives kind of a talk and I'm borrowing some of the thoughts on this which is like this is such a complex space there's so many signals and there's and they're all relatively good signals for what they're trying to accomplish it's difficult to narrow down into two to three that really pinpoint the objective that you have. You know, look, one of the things that we're working on is making it so that people can having a platform for people to answer questions when they come up when they have the really specific crystallized idea of how they can optimize for their particular problem. And so this has been really productive in hearing that from people that are working on this that there are like really specific personas working in this space that can make use of the data and metrics. Yeah, and this will be my one slight plug that it's if people are leaving this with very specific questions that they have around their communities or a lens that they wanna look at this data please open an issue on, we have OSS slash ASPEN it is the eight knot and that's the dashboard and we're really looking for contributions like you would think that's always technical but in this case we really want to hear what are the different questions that people from completely different personas me at sitting at my desk and trying to come up with the different questions isn't gonna provide the different lenses of analysis of people who have different experiences are able to do. And it's been really awesome to have such a difference of perspectives coming and like having this conversation everyone's looking at it really different. And that's great. Like we shouldn't all be looking at it different because our problems are different. I will just say we're at time folks. Yeah, we are at time. This has been awesome. Do we have time for... Maybe I'll just make one point, right? So like, so, you know, I run a lot of open source events in the community and often VCEs come and founders and basically what I wonder like I'd like to turn on the tables because there is always this expectation open source contributors, all of them something they should do something. So if you take the measure, it's like it reminds me of operation and research. How more productivity can we squeeze out of the workers, right? The question is, is the factory fair? Do you pay well? Do you have maternity room? So I wonder, so Michael mentioned like he wants to know about the activity in the project and he can do things. Can you add the palette of the actions that the owners, the employers can do? So for instance, when somebody stopped contributing, what are you gonna do? You're gonna talk to them. So you're gonna provide encouragement.  Like maybe they're over time. Like what is with your power to do? Can you encourage them? Can you give them interesting things? Can you connect with the interesting people? Like what are the set of actions you can take to make this project healthy, right? So your measurement project is getting unhealthy. The question is what can you do about it, right? And so can you include it as a data set, right? Because it's very one-sided, right? They can do personal doing stuff. Like what are the managers? What are the owners, stakeholders doing to keep them going? What is the set of actions you tried? And can you log them alongside the observable data? We try to talk to this person. We give them the money. We give them a vacation. We send them to a conference, right? And so here's what the stuff we did for this project. We gave them a grant. Like can you align incentives with work and tell me if it's getting better? Yeah, I would say this is when like the, where is the line where the metric and the visualization stop? I would, in the sense that like this is going to be able to inform you about what's going on and being able to, in a lot of times, I view metrics and visualizations as more of a time saver than anything. And being able to point out different things that are very unrealistic to do without those and then starting to really lean on the experts, the people who've been involved with community management for 20 plus years and have been in and out and has seen things happen. That's when, like that's whenever the visualizations can inform people on what's going on and then you can start to lean on like the knowledge that you have around your own personal communities, communities in general because a metric isn't going to be able to tell you exactly what you're going to be able to do. And so I guess that's how, a lot of times, how I view like visualizations and metrics. It's like, let's make, be able to inform ourselves better but not take like the human out of this cause it is, like we are, this is community. These are like, that's what we're looking at. It's the people. So yeah, I think that's a good closing point. Thank you.