We're going to get started here. People come late, they come late. Let me know if you can see the slide and hear me. Okay, good. Thanks Kathy. Thanks for having me today. So today's the day before the election day, which is strange because in the U.S., I know some of you are in the U.S., some of you are not, the presidential election is tomorrow. It's November 3rd, but they've had early voting for weeks now in most states. So it's kind of a weird year because of COVID and also a lot of people are doing mail-in ballots. So one of the other things that's strange about this year is we may not know who wins by tomorrow night, which you usually do, or Wednesday. You usually know. We might, we might not. Okay. So tonight I thought it'd be good to do a webinar. I'm going to go through my webinar. I'm going to go through my lecture. I'm going to talk about the strategy I trade, which is gaps. But before I do, I'm going to give you a little bit of insight and for those of you that don't know, I live in New York City into how I think this whole thing is going to play out. Now what I, what I do is related to gaps. And again, I'm going to go through the webinar that I have here for tonight to talk about my strategy, how you can use it to trade. If you're interested, you can do a trial for the room this week. You can email me afterwards for a trial. Kathy, put my email in the room, please. And I have a class coming up this weekend. But one of the things that I think is so, or actually I've noticed, particularly in the last two weeks, I'd say, maybe even the last month is the way that I read a chart, a day chart, is based on technical analysis of gaps. And it's really led me in the absolutely correct direction to play this market in the last few weeks when it has confused a lot of people. So a lot of people were not shorting the market in the last month, I'd say. And we've been shorting the market actually for the last two months, quite frankly. And a lot of people were going long. So how did I read this so well? And how did I predict it ahead of time? I'm just talking about this pre-election period, that they're running up to it, which was really September and October. It's because of the way that I read gaps. And again, I'm going to go over what a gap is in a minute here when we get into the webinar. But what's going to happen tomorrow could be very similar to what happened today in the market. The market may be back and forth, look like it's moving higher, not really go anywhere, look like it's going lower, not really go anywhere. Because again, we're not going to know anything tomorrow, tomorrow's election day. So I'm looking at Monday and Tuesday of this week, which pretty much played out the way, the way I thought today as rest days, rest days in the market. Actually, let me pull up the market here, hold on, I'm just pulling my charts, I'm talking here, I don't want this up. So this is a spy. Actually, talk about a rest day. Is that right? Did we close? Holy crap, we closed neutral today. I didn't even notice that because I was busy. Wow, talk about a rest day. Look at that. I didn't even realize that we closed exactly where we open in the market. That's very unusual. Wow, that's really unusual. Let me look at the kids. We closed slightly red in the cues, slightly red in the cues. Amazon sold off today. We did one trade today, which I saw earlier that I wasn't going to do it. And I said, why am I sitting here? I know this is going to go. We did a put in Amazon today and worked, was a nice trade. So this helped to drag those cues down, which was why the QQQs were red. But the spy clue is neutral. Anyway, it's getting back to what I was saying. Let's say, for example, there's different scenarios, and I won't know how I'm going to play the market till I get up in the morning and look at the market because what I do is I rate gaps, and I rate gaps in the pre-market. So there's things gap at night, things gap in the morning, they gap after hours, but I usually wait until the morning to determine what I'm doing. So I have a system. If you come and you learn from me, you learn it. You learn how I do it, and I do it in the pre-market. I determine what I'm going to do on the day, whether I'm going to go long, whether I'm going to short, and I determine it based on the gap. Now, what is a gap? A gap is the difference between the close and the open. So here in 10.27, this is the spy. The spy closed at 3.38.22. Opened in the morning at 3.32.10. Closed here, gap down. Boom. So I got up in the morning, I rated the gap, I knew it would fall, and then we played it. Okay, this was on 10.28. So we'll go over some of those trades in the webinar here in a minute. But anyways, that's what I'm going to do this week. However, there are a couple scenarios that I think could play out. Say for example, we don't know who wins. I expect a extremely negative meaning, not necessarily selling, but negative meaning volatility, which people believe is negative. Volatility meaning unexpected reaction by the market if we don't know who wins by Wednesday. So if this drags on Wednesday, Thursday, Friday, by the end of the week, the market doesn't know who is president. There will be extreme volatility in that three-day period. It doesn't mean we're going to have a hard sell-off, although we could. It doesn't mean we're going to have a hard rally, although we could. It will be an extremely volatile period. What is volatility? It means you think something's going in one direction, and it goes in the other direction, and vice versa. Do you know what I'm saying? So that really is what sometimes trips traders up because the market is going to be confused. Do you understand what I'm saying here? If we don't know who wins. So it will be better for the market if we have an answer by Wednesday. Now, if we don't have an answer until Friday, that's still three days of trading. Again, we could see volatility Wednesday, Thursday, and into Friday. And if we don't have an answer by the end of Friday, I mean, I have no idea what we're going to look like until next week, and I won't know until Friday. So it is a very interesting year for so many reasons to be participating in the election, and I think more people than ever are going to be voting. If you live here, you need to go out and vote. I have not voted yet. I'm going to vote in person tomorrow. But here's my take on this. Take what you will from this, what I'm going to tell you right now. This is my opinion, okay, based on information I'm going to give you. I see Irv here. Irv was in the room this morning. I said this, I'm going to give you my opinion here now so you can take it for what it's worth. In my opinion, Trump's going to win. Now, why am I saying that? One of the highly contested states is Pennsylvania. I'm from Pennsylvania. Trump's been out there a lot. I know Biden's been out there too campaigning, but there's an entire group of voters who's going to vote in Pennsylvania that have never voted before. It's something that I haven't heard anyone discuss. But if I'm on TV in the next two, three days or even later this week, I will bring it up. The Mennonite and Amish that live in Pennsylvania typically don't vote and some have never voted. It's a huge amount of people and they're going to vote and they're going to vote for Trump. Trump passed some kind of tax credit to help or tax break for farmers, for Amish and Mennonite farmers in Pennsylvania. They were at some of the rallies. If you watch TV, you saw them. It's been known locally and no one's really talking about it and they're not being polled. And I forget which one, if it's Amish or Mennonite, one of them doesn't have electricity. So they don't even have any phones to call and poll. But they're new voters, so no one will be polling them anyways. They'll be newly registered voters. So there's a huge amount of people in Pennsylvania that are new voters. They're going to vote for Trump that no one is even counting or polling. Does everyone understand what I'm saying? So I think Trump's going to win Pennsylvania, which the pollsters are saying he needs to win and could take him over the edge. So that's one of the reasons why I think that Trump's going to win. And that's just because again, locally I know what's going on in Pennsylvania. The second reason that I think Trump's going to win is because I live in New York and the city is bracing for the most violence that I've ever seen the city brace for. The city would not be doing this if it thought that Biden was going to win because New York, where I live in Manhattan, is a blue state and will go for Biden like it always goes for the Democrats. And they would be partying in the streets if Biden won. Since Saturday, in New York City, all the stores, all along the main main streets, all on the main roads, even some of the even some of the smaller streets are boarding up and preparing for massive amounts of unrest in a way that I have not seen. Now I was here during the riots and everything back in June. That was a mess. But this is like more than I've ever seen.  Like people are preparing days in advance. Businesses are telling employees, in New York City, they don't have to come to work on Wednesday. They're letting their employees out early on Tuesday, Thursdays up in the air. This is this is unheard of.  So that tells me Trump's going to win too, because the people that were doing the violence back in the summer, the rioting was the anarchists and they'd be partying if Biden was going to win. So that's another sign that I think Trump's going to win. Biden could win. Biden could win. He could. I could be wrong, but that's my two cents. And I just told you why. So now let's go over the two scenarios. What would the market do if Biden won? What do you think it would do? Well, in my opinion, if we and this is again, not if this drags out for days and days and weeks and weeks, this is like if we find out by Wednesday, either it's a landslide Biden or a landslide Trump, whatever you want to call it, that I think that's the only way we're going to know Wednesday, to be honest with you. It's got to be a landslide in some way on either end to find out immediately, which again, I think would be better for the country to know. But anyways, say it's a Biden victory, saying he wins. I think the market will hold the uptrend, because most of the life of the market, the market isn't an uptrend. This is the market. And again, just look at the spy today. Most of the life of the markets in an uptrend, this is going back 2004, I can go back to 1999 here. There is very few times where the market does break in a downtrend. Yes, it's it happens. It actually happened earlier this year with COVID, but it's not often. So what what you could see is a quick fast sell off that could last a day or maybe a little bit and then a reversal. So like you could see a negative reaction, which is a sell off if Biden wins.   I don't think we're going to break trend if Biden wins. I don't think we're going to break trend if Trump wins. But if Trump wins, that's the most bullish case for the scenario. Why? You see more brand new all time highs during Trump, Trump's presidency in the last four years. And you've seen ever ever before, while the market is in an uptrend most of the time, you've seen more brand new all time highs since he was president that you've ever seen that I've ever seen that it has ever happened. And that's just a fact. You can look at a chart, you can go back, you can count them all if you want. In fact, I should count them all. I could say it next time I'm on, I'm on somewhere. But where would we, if this is again the first 24 hours say Wednesday, where would the market gap up if it if Trump wins and the market wants to react positively? Where could we go? I don't know, but it could be a big gap up. Like it could be, like I'm just saying pretend tomorrow be Wednesday, 340, you know, 340.  That kind of stuff can happen. That's the market. Okay, so we could have a massive gap up a very bullish move if Trump wins. It could take us over the high, if not that day, within the coming week. So that is kind of how I'm seeing that that could play out if in fact Trump wins. Again, both of these scenarios are only if we know on Wednesday, because if we don't have an answer of who wins by Wednesday, expect volatility Wednesday, Thursday, Friday and every single solitary day until we do know. And then I think it will, whatever the reaction will be with whoever the victor is will be muted, muted, meaning not as big of a reaction as you would see as Wednesday. So for example, like say, I hope everyone's listening to what I'm saying, because I'm trying to get everything out that's in my head as quickly as I can. And I know I talk fast, but my brain works fast. So I have to just get it out while my brain is working this fast, or I'm not going to be able to remember what I said, because I'm just like, I'm just in the groove here of spitting this out. Let's just say November 15th or something we find out the reaction would be muted. So you wouldn't see a big gap up with the Trump victory. You wouldn't see a sell off with the Biden victory and so on as so forth. Do you know what I'm saying? And the reason that I'm attributing the sell off to Biden and the rally to Trump for the immediate reaction is that Trump's policies and his tax cuts and credits and the lack of regulation have helped the market and the market has had more bullish moves during the Trump presidency. You just have to look at it. Now again, Biden was never president to be able to compare, but Biden has come flat right out and said that he's going to raise taxes on people that make over 400,000 a year, which affects small businesses still affects people that work many families with kids. And also, he has said that he would consider shutting down the country again at the experts say that he that they want to. And that I think is something that the market doesn't want. And particularly some of these industries that have been hit really hard. In fact, we'll pull up here Boeing, which I've been bearish on for quite some time. But the irony is we didn't play this last week on the earnings. It didn't set up the way I wanted to, but it is still sold off. You have you have these are in trouble. These airlines are in trouble. They're in trouble if they don't get stimulus help between now and the end of the year is going to be more round the layoffs. And again, this is not I'm just saying fundamentally, technically speaking, these charts are in a downtrend. And I've been saying that for a while, Boeing included. I was just going to say something else that I forgot. Does anybody have any questions so far? Everything I just said? Anyone? So I think that this week, if you don't know what you're doing is going to be tricky to trade. If you know what you're doing, do it, because it's going to have opportunity. Luckily, I know what I'm doing. Okay. And so the people that are with me listen to what I say. But honest to God, if you don't know what you're doing this week, well, first of all, you shouldn't trade if you don't know what you're doing at any point in time. But if you don't know what you're doing this week, you definitely should just wait, wait it out. Step aside, and we weren't going to do anything today. And then I saw the Amazon and it was only an option. We didn't do any day trades today. Market was not along today, despite the fact it gapped up. So does anyone have any questions here before I go to the PowerPoint? And I'll go back and forth to the charts. Hello, am I here? No one's writing anything. Kathy, let me know I'm here. Gallaghan, no one is writing a darn thing and either all of you are mesmerized by everything I'm saying or you're asleep. It's one or the other. It's one or the other. Okay, you hear me? No one has any questions, any comments, anything. So those are the scenarios. So let's talk about markets in the election. Let's talk about what I do. Let's talk about how I can figure out where the market's going and how I could even make the statements that I just made about how I'm predicting the market direction and what I think based on the outcomes. If you have questions, you can email me at Melissa at the stockswush.com. You can follow me on Twitter, Facebook, YouTube, Pinterest, or Skype. Oh, Corti has a question. Go ahead. So what's going to happen to the market with the election? I just told you. This was the first slide. So I just told you that when I was talking about the chart. I just told you we're going to rest today. We did. We're going to rest tomorrow. And then we're going to see what the outcome is. Remember back in 2016, I don't know if anybody remembers that I do. I do because I was in overnight calls. I was in options that were in calls and I was then upset because the market was down big then at night. But then when I got up in the morning, it was up. So anyways, I was at one point, I was down in a trade, but I was in the middle of the night and then I got up and then the trade was up. So that was like a weird scenario. But remember the outcome 2016, the market was down huge and it reversed. And again, as things were changing, I do not change the trade the futures. I don't trade the pre-market. I don't trade the post-market. I trade during the live day between 9.30 and 4. I think you have the best moves during that time. And I think it's, I use the pre-market and the post-market time to predict those moves in the live day. So that's, that's what I do. But that kind of thing, you know, again, we may or may not see this year depending on how the night's going for how the numbers are coming in. So anyways, we're getting into, well, I really wouldn't say it's the middle of the year. It's towards the end of the year now really. We only have less than two more months. Well, two more months. Today is November 2nd, first day of the month. And I think a lot of people have had a year that they never anticipated, myself included, just what's happened in New York and everything that's going on. So I think it's a good time to evaluate getting into change of seasons. It's now starting to be winter here in New York. Are you doing what you want to be doing? You know, a lot of people are working from home. They have time to trade. If you're one of those people you thought about trading, you want to get involved and you're working from home now whereas before you weren't, you might want to jump into it. You might want to start doing it. I do think it's important to enjoy what you do every day. Personally, I really love reading charts. I do love making money too. And that's part of the fun of trading because every day you don't know how much you're going to make. One day you can make way more than you think without you anticipate you're going to make. And it surprises you. I was saying this too in the room earlier. Any more for me, trading is not hard. Sometimes I have hard days but trading is not hard for me anymore. But sometimes I have hard days but it doesn't mean that reading the stock, reading the market or trading is hard. I have a hard day sometimes but so does anybody in any career in anything you do. I think a lot of traders have a negative attitude where they feel like trading is hard. If you're one of those people and you feel like trading is hard then my guess is you're losing money. And the reasons for that is you don't know what to do. When you know what to do, trading is easy. When you don't know what to do, trading is hard. Simple.  I have no idea how to play football. I don't even understand it to watch it on TV with the plays being. I know when you get a touchdown at six points or maybe at seven, I don't even know. I know nothing about football. And somebody told me how to go out and play football tomorrow. I wouldn't know what to do and I would find it very hard. So you have to learn what to do to do anything, whether it's a sport, whether it's a job, anything. That's common sense. Why people think they can risk money in the market and trade or invest without any knowledge or system or a mentor I think is absurd but there are many people to train that feel that they don't need the support, that they don't need a strategy, that they can just take trades aimlessly watching stuff on TV or listening to people. You will fail ultimately doing that while some days you might make money in the end in the long haul you'll lose. Okay. Once you know what to do, it's easy. When you don't know what to do, it's hard. So if you find it to be hard to train, you don't know what to do. Okay. Now one of the things also is that time is the best thing that you can give yourself, meaning the longer you train one system, as long as it's a system that works, the better you're going to get at it. So one of the things that I attribute to my own personal success is that I've been doing this and nothing but gaps. That's all that I do. I've been doing nothing but gaps since I started. So it's going on 12, 13 years. So I took me three years to create my system but I've never strayed from this idea that gaps really can help you predict what's going to happen in the market and that gaps are very profitable where you can make a lot of money like 20,000 a month or 40,000 a month or 200,000 a month if you have the money to risk it. The idea of gaps to me was something that I always stuck on. So the more you do something, the better you get. If you're new to trading or if you come to be new to gaps, give yourself the time to learn it and do it. Start out small size till you start to begin to trade and get used to it. And again, whatever problems you have, I can do my best to help you get over them. I truly believe that anybody that has difficulties with this can get over them, can get over the hump. How long that takes you, though I don't know, because again, everybody's different. Every person is different. Some people come to me, they're brand new, they don't know a thing. Some people know a lot but if somebody could know how to trade, even trading for longer than I am alive and still have a lot of questions and not understand things because they're used to doing things that are not the things that I do. You know what I mean? Because the things that I do are unique and sometimes people have bad habits and that's a problem too. Okay. Any questions here so far? So for me, I was looking for my dream career. I kind of just fell into my lap trading. I just said, I didn't know what I wanted to do. I knew I wanted to get out of mortgages and I just said, let me do something where I can make a lot of money and work from home because I was working from home doing mortgages and I wanted to make a lot of money and I was doing that. So I needed to find a new job and that was like I said a long time ago. The one thing that I think is great about trading is you can make as much as you can risk. Okay. What do I mean? Like how much should you risk per the size of your account? Ask me but it's based on several factors. One, your knowledge, skill set. If you're more knowledgeable, you can risk more with a small account versus someone that doesn't know what they're doing. Two, your own personal risk tolerance. Okay. So you may have a hundred grand in an account but if you're not profitable or even risking a thousand dollars, even if you have a hundred grand, you may not want to do that. Okay. Once you get better and you start to do it and you get more comfortable, then you work yourself up. But someone that has a ten thousand dollars in a prop account may be comfortable risking a thousand even though that's 10% of the account which is a lot less than a hundred thousand because of the fact they may know what they're doing. Okay. So these factors are based on you as far as the percentage of risk and you can always ask me what I think. Kathy, I don't know what the seven is there or if you meant to write something or a note. Let me know. And again, if anybody has questions, let me know as we're going along here. But I definitely think it makes a difference when you're doing something that you love and if you're going to trade for career, you got to love reading charts because that's a big part of what I do. It's technical analysis and that's chart reading and it's chart reading gaps. If you like to make money, then obviously trading is fun too. And for me, I'd like fast money even when I take a trade on a Monday, say it's an options trade. If I'm out of that trade by Tuesday or by even Thursday, that's still fast when you think about it. Back in the day when I did mortgages, you have no idea. Sometimes I would take a loan application from somebody in January, pre-improve them to buy a house. It would take them forever to find the house. Then they'd have to put in the offer in the house. Then they'd have to go through the process of the house. I could take an application from someone in January and they may not, they may the loan may not close to December and I don't get paid till January year later. That's literally what that industry is like. So this to me is fast even if I, even if I don't do a day trade, even if I'm doing an option and I'm holding it for five days or two weeks, that's still fast. But I do prefer the quick fast day trades and we're going to go over some of them here that we did last week too.  And again, all of this is very, very positive. Now this was one of the day trades we did last week. It was Microsoft. Microsoft was in earnings. So let's go over here again, what a gap is. Stock gaps when the closed, which is different from the open.  So we did a day trade in Microsoft. Okay, this is a day trade. You need buying power, you need margin to do a day trade, just so you know, this is not a cheap stock. It's kind of expensive. Again, if you don't know what margin is, let me know.  Now you could have done an option in this too. If you wanted to save as far as the margin, options are not based on margin. They're cash accounts. Okay. Anyways, we entered this here. It had this beautiful drop. So this was a short. This was a short risk. And this was 2556. Exit was close to the whole number. Dream target. This actually ended up continuing. I'll pull up the chart in a minute. Profit was 3720. So this is 1028. Let me go over here right to the chart from Microsoft. So that's $2,500 risk thereabouts with a $3,700 profit. That is a good trade. Okay. Oh, look at this today. I didn't even look at this today. And again, any questions? Let me know. This is taking forever. This really is taking forever. You ever see this? This is the day that we did it, the 28th. And I had the exit at 204. I really thought that that was a good exit there. It dropped another $2. This is insane. Low in the day is 202.10. And we had a discussion too about this in the room as well last week. Your goal in life in when you trade should not be to get out of every short at the low or every long at a high. It will be nearly impossible for you to achieve that. While sometimes we do, sometimes I do, the reality is I do the best I can and try to make money. And even here at this point, right around this 204, again, that was a fabulous amount of money and a good profit from the entry we had. But it dropped another $2. So that was crazy. So I discussed targets in the class. I discussed exit signs in the class. And again, what I do is gaps.  You need big moves and stops if you want to pay yourself on a regular, consistent basis enough to be able to do it as a career. You can't scalp, I don't think, successfully and really be able to get somewhere with it unless you take a really absurd size. And if you would scalp stocks for 50 cents or not 50 cents, like 10 cents or 5 cents, where you'd have to take like 50,000 shares, that just becomes too risky. And people do that in low float stocks and cheap stocks. I do not. I do not trade any low float stocks. I think you're better off trading stocks in the price points, I'd say $5 or higher. Although we've done some of these ones here that were expensive, like the market and Microsoft, we'll do things that are $20 some dollars. We did Wells Fargo. So you have to have a broad range, but I'm not doing anything that are dirt cheap. Now, this was the same day where I thought everything would fall, which was Wednesday and it did. Again, the market, which was the QQQ's gap down here, closed here, gap down. This was the continuation of the sell-off that we had been having back from since here. This is the beginning of October. Here's the sell-off. Well, it was a second week of October really. So we shorted the market at $277.75, $2,500 shares, risk was $2,750, exit was $272.45. Again, this kept going. I forget where the low of the day and this was, I don't know if it was 270 or 271, it kept going too. But this was a great exit. Profit was $13,250. How? Size, size, size, size, $2,500 shares, which is not nothing, but it's not like $10,000, but really the move from the entry point that we did this trade until the drop down, we caught it at such a good point. Because in the pre-market, before 9th area even opened, I saw that the market would fall. So my ability to predict that this stock market would fall on this day, and Microsoft and everything else that we did, allowed us to get in this trade very close, very early in the morning, between 9.30 and 10, but we got in it earlier than 10, to get the trade to get it, to get the momentum. Because again, the momentum in this case here was a short, which we shorted, to the downside. So you put the stop over the number when you short. You exit underneath the number in a short. And again, how much money you make is dependent on the size. But even if you took what, half this size, 1200 shares and held it, you could have still made, you know, six grand over that, with 1200 shares. And I do call the entries in the room, I give the stops in the room, we go over target to the room, we go over exits. And sometimes I let the room go, like on this day, and I say, you know what, take it into the close. I say it's going to fall into the close, take it into the close. And actually, if you did take this into the exact close in the market that day, you would have gotten out at the low in all of these. But it's, it's chancey always, if you hold something past even three, 345, 350 and 355, it's pretty late to hold a day trade. Any questions here so far? So why trade gaps? Why do I do it? The moves are big and they happen fast. That is a positive thing. You're also working part time. Sometimes we trade for an hour, half an hour, two hours. You can do it from home, which again, as I explained, is very convenient right now, especially this year during COVID. And the moves to set up fast, if we don't get in the trade by 10 o'clock, I'm probably not doing anything that day. Now I ended up calling Amazon, it wasn't late, but it was like after 11, but either way, you know, usually most of the trades, I'd say 95% of the trades we do are between 930 and 10, and they move pretty quick. Why gaps? Because they move big and they move fast. And that being said, I don't trade every gap. What do I mean? We were having this discussion today too. You can't short every down gap and you can't short every up gap. You can't go along every up gap and you can't go along every down gap. So how do I figure out what to do with it? Because things gap all the time. I don't play every gap that exists. Why? Because a lot of gaps aren't quality. So the whole purpose of my class and my rating system that I teach in the class is to determine the high quality ones. It's the quality gaps that I want to trade. The non-quality ones I don't trade. But you can even garner information from the non-qualities. What do I mean? Today the market gapped up. We'll just look at this here. This is the chart of the spy. This was not a high quality long. While some people went long it, it was a piss poor long. I would have never gone long and we didn't. As you can see it didn't go anywhere. It didn't go anywhere at all. So even things that are low quality, I don't trade them, but I take notice of them. So I do quality gaps. It's based on a rating system that is what I go through in the morning myself. It's a checklist and that's what you learn from me in the class. It's a 14 hour class. But the thing is that when you're getting up in the morning you can see these gaps in the pre-market and that also I think is very valuable. Why?  You don't have to stress out. You don't have to worry about it. You have to say oh my god I have no idea what I'm going to do today. Before I get up I know if I'm going to trade, if I'm not going to trade and I know what I'm looking at and I know what I like. If I don't see anything we don't trade. If I like 10 things then I have to determine if I'm going to just watch one or two and if I might do both. I try to do one thing a day at least but some days everything's going to go and sometimes we do more than one. So this was also on that same day the 10-28. Close to your gap down fell. So that was the spy. We did puts in the spy. Again if you don't have a margin account you could do puts. Cost was relatively cheap for this. The expiration, oh no this was the day, this was Thursday. Hold on go back. I did call, I did call other shorts that day too though. This is the wrong day here sorry. 10-22 here. See that little guy? The puts I'm going to show you next I called that day to expire on the day before Halloween which was the following week but I did call puts here too. My assistant didn't put them in the in this class I don't think. Anyways these cost four dollars which was relatively cheap considering it was a week out. You took them on a Thursday okay. 20 contracts and an $8,000 risk sold at $14.50. Beautiful profit. Huge profit. $21,000 and again it's the return on investment. So say you bought five. You spent $2,000. You could have made $5,250 okay. This is taking it into the drop that was on Wednesday. Taking it here into the drop. Theoretically though again talking about a low of the eggs it's in everything else and Gally had I'm glad you're here to hear this. If you would have held it the last day you would have made more money. Again how would you have known that? Would it have made any sense to do that? No this was up so much here. Do you know what I mean? But one of the crazy things about though how well I've been calling these trades and these moves is you they're all having follow-through. You almost don't have to manage them at all. Even on Thursday when the market rallied every true the whole those trades were still up. You weren't up as much as you were on the Wednesday but you were still up and if you held them into the last day you actually made more. I mean that is so unusual and I did not do that because I didn't think it was right to do that with this trade. Oops where did it go? Because it was up so much on Wednesday but you could have made more if you held this trade into Friday the 30th which is insane because you can see here this was a 342 strike and where did the market go? It almost came to 320. So this was 20 some dollars through the strike on the last day so it had tremendous value way more than four bucks. Is everybody with me? Crazy crazy but that's what it that's that's how well I've been calling these things because we're getting good timing and sometimes I'm early like wait you could say well we were early here yeah but that's when I saw it so that's when we did it so I did the trades when I see him it's better to be early than late. Any questions here so far let's go over the accused this was the sell-off here that happened and and then this was the same day the 22nd we did the 284s again you could have held him into the last day which is insane cost was 480 15 contracts risk was 7200 sold at 12 this was worth more on Friday completely insane 284 profit 10800 more than 100 return on investment again let me go over and show you where this went again almost well not quite $20 1817 through the strike and the last day it's insane insane and again we did this over here and Thursday the week before but here I thought was a beautiful exit here and look what it did that was crazy and if you took a smaller risk again these are options 480 five contracts risks is 2400 sold at 12 profit 3600 so if you want to sign up for my options newsletter you don't have to take the class I think taking the class helps you on the letter but it's not a prerequisite if you want to learn my system then you learn it you could do options you could do day trades you must do the class in order to join my live trading room and get the calls like I called the day trades like this one here back here is a day trade so this is a day trade the other ones here are newsletters that get emailed to you if you sign up these are options trades you can do both I will say the most successful people in the trading room with me and in the that are students of the class the most successful people that are making the most money are doing everything they did the class they are doing the options they are in the room okay any questions here so far you know I think the market's hard for a lot of people to read I've gotten better at it over the years I've I've been perfect this year at reading it quite frankly particularly recently so take heed to the things that I said earlier tonight when I started out talking about the election think about what I said because I'm sure that I'll be right and you know if you really don't understand what to do here in this type of market then step aside one thing you don't want to do is lose money just by taking potshots at something you should never have the attitude that's a 50-50 when I take a trade I feel like 100 conviction it's going to work that's how I feel actually feel that way and I use that to help me trade well and go after something hard and even when I see the market like back up against my direction or a trade if we're in something it doesn't it doesn't sway me in the opposite direction or set me off I believe so much in what I do and I think that's the power of how I trade and and how I'm able to call the trades and see things also but it all has to do with the gaps everything is gap based that is my strategy but it's the reading system that tells me ahead of time and and it's really a sustainable way to make money because you get gaps all the time you get gaps in the market nearly every day stocks have gaps a lot during the year and in quarterly earnings seasons we're in the last earnings season of the year you get a lot of gaps and again things get played you get momentum you get volume all of that stuff makes for good trading okay some of the biggest moves that stocks have happened the days that they get and again if you were going to take you know a thousand shares of something and go long it and if it rallies a dollar that's a thousand bucks you make money as a trader by chunking it out you pull money in and out in and out you take it pull it out take it pull it out and that's why you know it's been an active year but you want to be active if you want to trade you're going to make the most money being the most active okay one of the things I think you need to trade also is you have to have a strategy that's reliable sets up often almost every day and have a good risk to reward payout okay now here was this other one too we did this was the spy this was again the same day I knew the market direction will be down so we shorted everything entry was three thirty two fifteen risk was twenty seven fifty exit was three twenty seven thirty and again this fell further too I don't know where this went three twenty six twenty three twenty five something by the end but this was a twelve thousand dollar profit plus because again twenty five hundred shares you take it get the drop it's a big move this is we did you options in this tune my assistant didn't put this in the in the classroom tonight but you could have if you couldn't have afforded to take this at this price point then you could have done just done the put like you could have bought a put a three thirty two put a three thirty put you would have made money and something like this you would have made money and any put that was underneath the strike of it falling because when you buy a put which was other market trades I showed you in the options you are you're betting that it's it's a short you're betting that it's lower it's going to drop okay not doing fancy dancey options I'm doing things that are always in the directional bias that I'm reading in the gap how is it going to go is it going to get bought is it going to get sold off okay any questions here so far so you know this year was a strange year I think for everybody where people are reevaluating their life they are trying to decide if they want to stay in the job they're at some people have lost their jobs are trying to find other ones some people are working two jobs some people are still working they're working from home but they realize they don't like what they're doing and they want to find something else to do some people are also realizing that they want to so people are moving people are moving people are kind of moving out of cities people are fleeing New York right now it's just one of these years where people are really sitting back trying to figure out their finances trying to figure out their housing situation trying to figure out their life and that's not a bad thing it's really it's it's not a bad thing it means change and it means change is being forced really upon people and that's not a bad thing because yes it gives you an opportunity for what it gives you an opportunity to change your life for the better and that's how you have to look at it and I say when people come to me and take the class and my class is not cheap it's seven thousand dollars it's worth every penny but it is an investment that you're making yourself because you're really going to change your trading the things that you will learn from me you will never learn from anyone else I can guarantee you that and every one person that's done my class would tell you the same thing what I do is very unique I personally am a very unique person in the way that I look at the market which is one of the reasons why I'm able to predict things in the future now part of that is experience doing it for a very long time but I'm telling you that the people that control the market are what I call institutional money they're hedge funds they're banks it's a whole conglomerate they move the market they're there they're in charge they're called the power money people okay and they're there even if you think they're not there they're there in other words you may not see them there in a day but they're there anyways and I'm able to see who's in charge of what's going on because I'm reading the gaps not just the gap on the live day but the previous ones as well or something like today where I see what happened in the gap up okay so having a strategy that can really pinpoint that institutional money where it's going to go if it's in control who's buying who's selling that just makes such a big difference in your trading and it makes it a whole lot easier to trade when you can do that because you just go with that money and that's how you make a lot of money without really having to do anything okay so I designed my system and called it a golden gap what is a golden gap a golden gap is a gap that moves in the direction of the gap who makes golden gaps again institutional money makes and creates these gaps and it's real they're real okay in the case of a bullish gap institutions are buying the stock therefore the stock moves higher in the trading day in the case of a bearish gap or a gap down institutions are selling or shorting the stock therefore the stock moves lower on the trading day how to make money the market you've got to be in the right direction you won't make money if you're not in the right direction so I developed a system over a course of three years to determine the odds it's all trading is all about odds not every trade that I take is works sometimes I lose but I win more than I lose which means that I'm profitable and that is obviously your goal okay it's probability there's high odds when I rate something it's a 26 point rating system if it rates 20 points or more high odds it's going to work what's low odds low odds is it rates low it rates under 20 like if I had rated I didn't rate it because I knew it wasn't going to rate well but if I had rated the market gap up today would it rate a low would it probably been under 15 might have been under 10 it wouldn't have rated over 20 so I wouldn't have gone long it and we didn't show when you have a system that helps you who's going to come in and buy this or who's going to come in and sell this that's what the rating system depicts okay and again all of this you're doing in the pre market the pre market that's the time and you can get up as early as 4am if you really want to some people like gala had lives overseas some people you get up early in re-Europe you can see what's going on very very early okay you could raise gaps as early as you want some people rate in the night they live in california I like to do it in the morning okay I get up early not 4am but I get up about six okay the golden gap system that I created is a professional bearish gap rating system the purpose of this system is to help you evaluate which gap to trade each morning using a checklist and this you must do and this you must be strict about and I do it too as many years have been doing it I do it now I can eyeball something and say oh I don't really like it or but I still go through the process and I still rate it and that's how it becomes part of you and that's how you're able to take the higher risk amounts like $2,000 or $3,000 in a trade that's that's not nothing that's a lot of money to risk in a day trade quite frankly okay for many people despite no matter what the size of your account is day trades move fast they move quick fact you could make really good money just risking even five six hundred dollars a trade that's plenty okay it depends how well you learn the system and also again your personal risk assessment so I use the 26 point checklist to help me figure out what trades I want to take now we usually get three to five a day an earning season right now it's earning season so we get a lot not earning season might say we get three to five a week okay and and I just go through and we do as many as I see that I like now but the day before the big sell-off the day before actually this was the 2026 not the 27th I'm seeing here the diamonds we shorted this is the day before two days before but it was the Monday of last week it was a week ago last Monday the 26th we shorted the diamonds this was the bar here closed here gap down sold off big so the entry in this we did it to 8010 stop was to 8065 and 5000 shares risk was 2740 exit 27414 this was a huge huge trade over 29000 dollars it was not an option even this was a day tree now let me go over here and show you this on the chart just so I can show you this gap here again we were in this as puts as well yeah it was a 26 so again do you see the entry we got in that look at the high of the day I mean we I couldn't this was an expert entry high the day was 2839 it was insane and look where it did it was a beautiful trade this continued lower as well and boom boom in fact this came down here and hit the 200 per move at average on Friday well touched it Thursday and Friday but you know and the QQQs or in the spy did not show this diamonds had a big sell-off and again Boeing has uh is part of that and the Dow and then also I think that that had the drag on it too any questions here so far that was a week ago but the bottom line is that knowledge is power with with with all the knowledge in the world you have the power to be able to trade and make money even if you have a small account you can turn it into a big account if you have the right knowledge because knowledge is power can you imagine if you knew for sure who was going to win the election what kind of power that knowledge would give you so you know knowledge is power that's why trading on a whim not having a system not not having any clue at all is dangerous you're just destined for failure with that type of thing you've got to have the right knowledge the money will come with the right knowledge it really really will and I think a lot of traders just don't put the put the correct level of importance on learning and having the right knowledge before they place trades on to the market or risk money they just don't people don't get it and to for the life of me I don't know why now we were in this before all these things this was like I don't know two weeks ago now this was another trade we did in the diamonds we did the 284s it expired that same week cost was 220 risk was 7700 sold at four good trade 82 percent I'm typically looking for 50 to 100 some of them have been way more than that we've done lately but this is a good trade this is a good trade again that was shorting the the diamonds and again any questions here let me know but I think it's important to have a plan of action plan of action every day plan of action the strategic like I have a plan of action for tomorrow morning and then I'll see what's going on tomorrow morning I'll get up I'll rate my gap I look at the daily chart that's how I determine what I'm trading then I use the baby charts the one minute to determine my trade entries and we trade live on the day I do trade with size I've been trading for a long time like I said but I think if you're new or your beginner or you're new to this system then you trade with a small size there are a wide variety of people in my room some people are taking one contract in the option some people are taking 100 shares the amount of money that you make is again depends on how much size but you're going to lose if you don't if you take too much size for the size of your account like say you have $5,000 in an account you can't risk $2,500 in a trade there'll be 50% of your account that would be absurd okay so you have to be normal thoughtful about it common sense okay so I teach a class once a month it's called the golden gap course it teaches a strategy and how to trade gaps the course teaches a 26 point rating system to find the best stock to trade each day and this is also how I call the market the course also teaches students how to play the stock on the day and the course teaches students chart analysis and technical analysis on an advanced level and I think this is the best thing about being with me and then also being in the room quite frankly like we had a great discussion today in the room so I just go through the whole checklist in the morning this is the meat and potatoes this is the strategy again this is what you learn from me and it's all gaps everything I do is gap based I'm trying to find the highest quality gap that I can each and every day most of the trades that I do do have follow through okay not all but most sometimes we'll do a trade one day we'll get stopped I'll do an option the next day it'll work sometimes I'll do a trade two days in a row okay when I invented the system I didn't plan for that but that again is part and parcel of the whole thing about institutional money because you get that so it's not surprising just like the sell-off every day last week was not surprising to me either okay and this is a benefit because if you want to use the system to do swing trades options long-term investing you can and then the active day trading I get this question a lot too I teach regular people I mean I'm teaching some of the most regular people you could have ever meet that some that I've had no experience some that have had experience it's all across the board age groups women men all of it I think that once you're kind of bitten by the market bug you never get on bit kind of to say uh your bit and then you want to make it it's just like how are you going to make it but you won't make it without a good strategy that's for sure and you can have the best money management the best discipline in the world it's going to get you nowhere if you can't figure out what to trade in what direction and I think that that's one of the reasons that traders have been getting hurt and and even in September not just in October and September too because of what people were doing with their trains and where they thought the market was doing and people like to buy these dips in the market and it's just the wrong thing to do but people do it people do it all the time so for me uh you know gaps is it and I'm lucky that it's been a good year I feel like my ability has uh but but my my ability has actually strengthened through this period of COVID as far as my chart reading ability because because I've been very and even this week like I'm so focused to make sure that we get it right um because I know that it's challenging and sometimes that that really you know that that gives me an edge like that hyper focused position sometimes when I'm in that mode really does give me an edge some people when they're under pressure they can't take it they just collapse with me that extra umph it actually helps me it helps me go up to move to the next level any other questions here so you definitely need to do the class if you want to learn how to do it it will give you clarity on how to train I will teach you what conviction is if you don't know what it is but the commitment really has to do with you that's why when people come to me again it's the entire weekend which is a commitment of your time the money and costs for my class which is a commitment financially and then obviously you have to be committed to trade you have to get up early you have to be in the realm you have to be there so the golden gap course is a complete system to use to train and it is a full two-day course in how to strategically find pick-and-play stocks that are professional bearish gaps classes online could be anywhere in the world and take it it's November 7th and 8th which is this weekend starting Sunday again good time to trade because it's earning season email me and Melissa the stockswish.com if you want to sign up cost of the class is $69.99 and it has been a very interesting year I anticipate it will be a very very interesting week I'm running a special through election day which is tomorrow so if you if you've been following me for a while you're on the marketing list you know this you would get the trends course free the options newsletter and trading room free through the end of this year if you sign up by tomorrow and the trends course is Tuesday the 10th so it's classes Saturday Sunday and then Tuesday is the trends any questions from anybody about anything good lecture tonight definitely reach out to me if you have questions I think it's important to empower yourself to trade and really to make decisions about your life if you're thinking about doing this for a career or thinking about doing it part-time or on the side or if you're retired email me at Melissa the stockswish.com email me if you want to try out info at the stockswish.com and we will see what happens tomorrow we will see what happens the rest of the week let's look at the market here tonight and we're not really moving much tonight any questions from anyone about anything have a safe night everyone stay safe wherever you are go out and vote if you can you're welcome


Hi, this is your host BlinBhartia and we are here at Open Source Summit in Vancouver. Today we have with us Billy Lynch, software engineer at Chain Guard. Billy is great to have you on the show. Yeah, thank you. Happy to join. First of all, let's talk about your involvement with the Continuous Delivery Foundation or, you know, Chain Guard's involvement with these foundations. You know, at Chain Guard we do a bunch of different software supply chain security, our goal is to make software supply chain secure by defaults. So, yeah, we've been super involved with a few CDF projects, namely Tecton over the years. I am on the governing board for Tecton as well as a maintainer for Tecton chains and just generally involved in the Tecton project in general. The Continuous Delivery Foundation, you know, they recently announced that, you know, that a six-door support for Tecton, you know, is kind of exiting the experimental phase. What does that mean, not only for the project but also for the community? I'm also a maintainer on some six-door projects as well, so I help maintain the get signed project as well as make contributions to other six-door as well. So, like, I'm in an interesting position where I am both involved in Tecton and involved in six-door, so there's just a very natural relationship to join those together. We've been seeing a ton of adoption on six-door in open source communities. So, we've seen adoption, you know, GitHub just announced recently NPM provenance. That's going into public beta. PyPy supports signing Python packages with six-door. Six-door itself has provided the cosign tool for container signing, and so being able to bring the benefits of six-door in artifact signing into Tecton as part of our software supply chain story in order to have verifiable provenance is sort of a great feature for both Tecton and also just another great example of seeing six-door out in the wild. Can you talk about what is driving this adoption because the Kubernetes and all those folks are also embracing it, so. Yeah, so I think there's been a huge focus on software supply chain security, you know, in recent years, especially after Lock for J and all of that, and, you know, part of the challenge is like when we have our software artifacts, it's very hard to answer the question like where did they come from and how were they built.  So half part of the problem is we just don't have that data available in many cases today. So what we're seeing with a lot of this effort for build provenance and artifact provenance is being able to have that metadata and have that be cryptographically signed so we can have trust in where that comes from. So that's really where chains tries to make its impact of tying those, okay, you know, our build processes say they produce these artifacts, but how are they produced and being able to have a signature that ties it back to the individual build execution itself. Since we are talking about open source supply chain security, we started talking about it a couple of years ago also when Biden administration, they came up with the executive order and a lot of other initiatives also happened. Of course, you know, all those vulnerabilities also happened. Where are we today when it comes to, are we still in the early phase of, you know, education, awareness, or we are in the phase where companies understand it and they just need to help with the tool or, you know, cultural change? I think people are aware of the problem, but having that in practice is still a bit of a challenge for a lot of people because you see a lot of scanning tools that will generate S-bombs, but then the question is how accurate are they? You know, so being able to integrate S-bombs and generation into the broader ecosystem, I think, is largely important. And, you know, we're trying to definitely push the needle at Schengard as well. What are your thoughts on when we look at the modern tech stack, you know, all the cloud-oriented technologies, things are already getting very complicated, and things are very, very complex, and which kind of, you know, when you're adding, you know, more tools where you will realize that a lot of companies, they are wasting a lot of resources, not adding value to their businesses, but, you know, all the plumbing. So do you feel that this complexity affects security, or you think that, hey, you know, complexity is part of it, you have to just figure out a way, because complexity should not, it's not going to go away. But we have to help companies by lowering the barrier of entry so they don't, you know, they can happily, you know, embrace these technologies. I think if we do things well, a lot of these securities, these security tools, and a lot of this information just becomes a sort of invisible layer. You know, it's sort of the classic infrastructure problem if you're doing your job well, no one notices. And that's where I would love to get to. And I think that's one of the things I really like and appreciate about Six Store, is that, you know, we want to lower that barrier of entry for signing. So I think some of the challenges we've seen with signing in keys is, you know, how do you make sure that everyone is protecting their keys properly, making sure that they're encrypted, rotated, you're keeping track of them, knowing when they're used, handling revocation. And one of the really nice things about Six Store and Keyless signing is that you remove some of that complexity around having to do that management and automate that away. And so I think sort of more solutions in that sort of in that direction, where we can lower that barrier of entry and make it simpler. And people don't need to think about these things. I think we are making progress towards that. And I think that that's a trend I'll probably continue. Since we are talking about, you know, the challenges that organization face, tools are there, you know, but sometimes it also, tools itself is not enough, you need to have right culture within organizations also. So what advice do you have for organizations so they can kind of improve their security posture, they can better leverage the tools, and also the resources which could be human resources available to them. I think with Six Store, we're seeing a ton of tooling just out of the box, supporting, you know, different aspects of supply chain.  Also in Six Store, there's things like policy controller that allow you to define policies on the things you actually sign. So it's not enough to just sign things and then see if there's a signature. You also want to have policy enforcement to say, you know, are these things coming from the places I expect?   And then you also have things like chains that will try to just automate these.  So the idea is like, you know, maybe as a cluster administrator or operator, you would, you are aware of that and care about that. But if all you're doing is just running bills, like that's just something that happens, you know, under the hood and you just get for free. And I think as more ecosystems and tooling adopt these processes. Yeah, I think it's great to know that they're there and to take advantage of them because I know personally, I've actually used tecton provenance because tecton itself actually signs all of our releases with six store and we actually have the full bill provenance. And I've actually used that myself to go back and be like, Oh, what actually happened for this build? How was it built? Where was it built from? What were the dependencies? So it's always there if you need to, you know, access that and get that more data. But nine times out of 10, it's just, you know, extra metadata that only the tooling really cares about. Billy, thank you so much for taking time out today and sit down with me and of course talk about tecton and six store and also, you know, where the projects are heading. Thanks for sharing those insights. And I would love to have you back on the show whenever there is a update in these projects. Yeah, I'd be glad to. Thank you.


So, two points, Max.  Everybody's got ideas, right? I could give a holy hoot about ideas.    I want actions. Show me how I'm gonna turn something into an action. How am I gonna make something better, right? And I wanna know ahead of time what that something is. Am I trying to improve customer retention, trying to improve recovery time for an athlete who's got back-to-back games, right? I know what I'm trying to do. And I wanna focus on that. Where ideas become great, and you said it really well, Max, is ideas are something that I wanna test. So, but I know what I wanna test vis-a-vis what outcome I'm trying to drive. So it isn't just, it isn't ideation for the sake of ideation. It's ideation around the idea that I need to drive an outcome. I need to have athletes that are better prepared for the next game, who can recover faster, who are stronger and can play through a longer point of the season. Here we are in March Madness. And we know, by the way, that the teams that tend to rise to the top are the teams that have gone through a more rigorous schedule, played tougher teams, right? They're better prepared for this. And it's really hard for a mid-major team to get better prepared because they're playing a bunch of lollipop teams in their own confidence. So it's ideas really don't excite me. Ideation does, around an environment that allows me to test ideas quickly, fail fast, in order to find those variables or metrics, those data sources, it just might be better predictors of performance. Yeah. I like the idea of acting quickly, failing quickly and learning quickly, right? You have this loop. And what happens is, and I think every strength coach in the world is probably guilty of this, is we get an idea and we just apply it. You go, oh, I think eccentric trainings, this great idea and we're going to do an eccentric training block and I just apply it to my athletes and you don't know what the hell happened because you don't have any contextual metrics that you base your process on to actually learn from. So you at the end of the day go, I think it worked. They jump high, but you're not comparing that to anything, right? They've been in the weight room for three months. My God, I hope they jump higher. I hope they're stronger. Like I can sit in the weight room and probably get stronger for three months. And my thought is, but let's have context and I call them anchor data points that we're always reflecting back on. So for example, if I have a key performance metric where I want to jump high, I'll always track jumping high, but then I can apply different interventions, eccentric training, power training, strength training, and I can see the stress response of these KPIs. So now I've set an environment that we have our charter still there. My charter being, I'm going to improve my athletic development. And that's my goal. I'm basing that charter on the KPI of jumping high. So key performance indicator of jumping high. Now I can apply different blocks and interventions with that anchor point over and over again. And the example I give is, I don't come home and ask my girlfriend how she's doing once every month. I ask her every day. And that's my anchor point, right? And I might try different things. I might try cooking. I might try making dinner. I might do the dishes. I might stop forgetting our dates. I might actually buy groceries for once. But if she gets happier then I'll continue to buy groceries. Maybe I'll remember it's her birthday, March 30th. I remember that. That's why I put it on there. Right. And so, but the idea is we have in life, the way life works, we have these nodular points where we call anchor points, where we self-reflect and we reflect off of others. And we understand our progress in our own life environment based on these anchor points and we progress and we apply different interventions. I want this job. Maybe I'll try having this idea outside of here. Maybe I'll play in a softball league. And we're always reflecting, is that making me happier? Is that making me feel fulfilled? And I don't understand why we don't take what we do every day in life subconsciously and apply it into the sports science world. But a lot of it is because it happens subconsciously because that's how our body has learned to evolve. We have anchor points. I want to survive. I want to have kids, lots of kids, strong kids and die. And I die so my kids can have my food. And that's what we want as a body. Your body doesn't care about anything else. And so that's why you walk with a limp after you get hurt. You don't walk perfect again. It's a waste of energy to walk perfect. You can still have kids with a limp. I hate to break it to you. We're not running from animals anymore. And so we have all these anchor points in life. Let's apply that same model now. And like you said, it's like design thinking and actually having that architecture to outline it. Whether it's in that hypothesis canvas to force us to now consciously do it because we're not just interacting with ourselves now. We're interacting with other systems, other nodes of information to now have to work together in unison to achieve our company's charter. Interesting, Max. There's a lot of key points in there. The one that strikes me is measurement. John Smale at Procter & Gamble Line was there. He said, I say you are what you measure and you measure what you reward. That was his way of saying as an organization that the compensation systems are critical. And the story you just walked through about what Kelsey and what you guys are doing and how you increase your happiness level. My worth of damnness. Your work, I mean, that is how you're rewarded. If you're rewarded by happiness and so you learn to measure if you're smart, that you don't miss birthdays, that you do dishes, you help up around the house, you do things and when you do those things, the happiness meter goes up and when you don't do those things, happiness meter goes down and you know because you're probably pulling not just once a day, but as you walk by her throughout the day on a weekend, you're constantly knowing, right? If you're like your mom, right? You know when mom's not happy. You don't need to be a day to sign this and know mom's not happy. And so then you re-engineer about, okay, what did I do wrong that causes unhappiness, right? And so life is a lot. There's a lot of life lessons that we can learn, that we can apply to either our business, our operations or sports, whatever it might be that your profession is in about the importance of capturing the right metrics and understanding how those metrics really drive you towards a desired outcome and the rewards you're gonna receive from those outcomes. Yeah, and with those, it's the right metrics, right? That's not metrics, the right metrics. I wanted to know if someone was happy, I wouldn't go look at the weather. I wouldn't check gas prices, especially if I'm curious if they're happy with me. Well, maybe they might reflect if they're happy in general. If they're happy with me, right? Now I'm contextualizing what I'm actually trying to look at. I know a little bit more about what I should look at, but I don't know everything. And so you might have metrics that you say, I know science says this metric is good. This metric is good. Maybe we wanna explore these couple of metrics over here because we think that either A, they're related to one of these metrics or they're related to the main outcome itself. And that gives you a way to then, I have these key anchor metrics. It's not stacking the deck, but it's knowing you're gonna get insights out of it. And then I have these exploratory metrics over here, which are gonna allow me then to dive and explore elsewhere. And if you're a company, those can be trade secrets, they can be proprietary information. If you're a trainer, it can be ways to learn how different athletes adapt to make yourself better. And again, if we're talking about a company and we're talking about a trainer, there's no difference when it comes to trade secrets, right? Trainers keep their trade secrets and companies keep their trade secrets. As we talk about this, it's really easy to see how these two environments, whether we're talking about a company, athletic development, sports, science, personal training, health and wellness are really universally governed by the same concepts because life itself is typically governed by these concepts. And when we're applying those kind of iterations to it, you can really begin to quickly learn what's going on and whether or not those metrics that you thought were good are good and whether or not you can learn new metrics and from that. Max, you raise an interesting question or made a point here that I might be very different in the sports world than it is in the business world. And that is the ability to test.  When you're dealing with athletes individually, I would imagine it's really hard to test athlete A with one technique and athlete B with another technique when both these athletes are trying to maximize their performance capabilities in order to maximize the money they can generate. How do you deal with that? So, yes, no one wants to get the shitty program. That's correct.  My solution to that is making it very agile. And so we're not going to be able to test group A versus group B. But what you can do, if you're a coach and you have faith in, because there are a lot of programs coaches use, coaches probably use every off season they might try a new program. So there's no real difference in all honesty to try a new program on these seven athletes versus and then try a different one that you also trust on these seven athletes. And part of that comes from the fact that we have science and evidence to show that both these programs are really good, right? But there's no one's actually broken down the minutiae of it. And so, yes, you probably could do A and B testing because you have faith in both programs. So it's not like either athletes getting the wrong program they're both getting programs that are going to probably elicit an outcome of performing better, but who wants to perform the best? The second aspect would be what kind of longitudinal data that you can collect very easily to understand typical progression of athletes. For example, if you coach and you coach for eight years you'll have eight different freshmen classes theoretically. And you'll begin to understand how a freshman typically progresses to a sophomore in what their key performance indicators typically trend as. And so you can now say, okay, last year we did this, this year we do this, I'm going to see if my freshman class responds differently. Is this going to give us the perfect answer? Absolutely not. No, but without data you're just another person with an opinion. That's not my quote, I stole that quote, but it's true because if we don't try and audit ourselves and try to understand the process of how is someone developing then we're just strictly relying on confirmation bias to be my program was great. Pat some guys in the back that jumps higher we did awesome. But if we're truly into understanding what's best then we'll actually try and measure some of these progress some of these KPIs over time. And the example I give and it's unfortunate and fortunate I don't mean anything bad by this either. We're on a salary, right? And so what happens when you're on a salary is no matter really what happens assuming you're doing your job they're going to keep your job. But if you look at a startup a startup has one option and that's to make money or grow out of business. They don't really have the luxury of oh, we're just gonna hang out and not saying coaches hang up or we're just gonna keep this path we're going on. As a coach, how do I apply a similar model? Well, a startup, the thing about startup is you can go from worth $0 to worth $100 million to a billion dollars in one year. As a coach, we don't have that same environment because I'm not producing something tangible which doesn't always, it doesn't have the same capitalistic drive the invisible hand pushing us the same way the free market does with devices. And so we don't always follow the same path that these startups have done yet that same path and same model might provide better insights. So Max, you've hit something I found very interesting. Confirmation bias.  And so before as a coach, I would imagine before as a coach, what you'd wanna do is set up ahead of time we're gonna test the following things to see if they have impact, right? Thoroughly, like the hypothesis development canvas, right? Thoroughly understand against what you're really gonna test. And then when you've done that test you would have much more confidence in the results of that test versus trying to say, wow, Jimmy jumped two inches higher this year. God, what did he do? Let's figure out and revision it. Was it what he ate? Was it where he slept? Oh, he played a lot of video games. That must be it. The video games made him jump higher, right? So it's, I think a lot of sports in particular even more than the business where a lot of sports is based on heuristics and gut feel it's run by a priesthood of former athletes who are great because of their own skills and capabilities and it maybe had very little do with their development and I don't wanna pick on Michael Jordan but Michael Jordan was notoriously a poor coach and a poor judge of talent. He made some of the most industry some of the worst draft choices industries ever seen. And that's because he mistakenly thought that everybody was like him, that he revision history about, well, what made me great were the following things. So I'm gonna look for people like that instead of reversing the course and saying, okay, let's figure out ahead of time what makes, what will make you a better pack player and then try in these tests across a number of different players to figure out, okay, which of these things actually had impact? So sports I think has gotten much better. Moneyball sort of opened up people's eyes to it. Now we're seeing more and more teams who are realizing that data science is a discipline. It's not something you apply after the fact but in order to really uncover what's the real drivers of performance you have to sit down before you do the test to really understand what it is you're testing because then you can learn from the tests. And let's be honest, right? Learning is a process of exploring and failing. And if you don't try and fail enough times if you don't have enough might moments you'll never have any breakthrough moments. I think what people misunderstand is they hear the word fail and assumed, oh, we did a six month program and failed. Now failure can occur in one day and that's okay, right? You can use, for example, I'm going to use this piece of technology as motivation for biofeedback to increase my athletes intent and the amount of effort they put into the weight room. That's your hypothesis. You can test that in one day. You put out that piece of technology and the athletes don't respond. Well, you'd have learned something now. Okay, that technology didn't bring about the motivation I thought. Why was that? You can do reflect and not revision because you had the infrastructure beforehand on maybe notes that you might have taken and scribbled down on your pad or observations from the coach's eye. It might have been, you know what? The athletes weren't very invested because the technology took too long to set up, right? It wasn't the technology's fault. It was the process of giving the technology available to act and utilize on. So maybe you retest again with it set up beforehand or a piece of technology that's much easier to use and the intent increases. So now you say, okay, it's not the technology's fault. It's the application of how we're using the technology. At the same time, we hear a lot of things like, take a little bit of a pivot, not too far though, is in the baseball world, you see technology being more used more and more as a tool and it's helping guide immediate actions on the field, whether it's not, it's spin rates, it's arm velocities with accelerometers or some sort of measurement they decide to use. But that's not necessarily collecting data. That's using technology as a performance tool. And I think there's a distinction between the two. The two are not mutually exclusive. You can still use it as a performance tool, but that performance data, if the infrastructure's not there to store, file or reflect and analyze, is only being used one-sided. And so people think, oh, we're doing sports science. We're doing data science because we're collecting data. Well, that's not, I can go count ants, that's collecting data. But that's not, unless I count ants every day and say, oh, my ant population's decreasing, right? And kind of a, here's a really easy way to think of it in my opinion. You have cookies in the fridge, right? And every day I go and every week we'll say, my mom makes cookies. This doesn't happen. I wish it did be very cool, but I love you mom and we didn't eat cookies every week. But in the fridge, I go and I count how many cookies there were, right? And using data, I'd say, oh, 12 cookies. If there's any cookies at all, I can eat, right? That's using technology in that moment. But doing data sciences, well, you know what? She's going to make, you know, 12 and a couple of days and I have two days left and there's six cookies. I can eat three today and three tomorrow. Because now you're doing prescriptive analytics, right? Because you are prescribing an action based on the information you collected and it's based on historical data. Because you know that every seventh day the cookies are coming. I just take it as I'm using technology as a tool. I might only eat one cookie and forever be leaving six cookies on the table, right? And so there's it. Don't wanna do that. No, we don't, but we trick ourselves. I think we see that, I'm not saying baseball does this, but I'm saying we see that in all domains, when we use technology, we say, oh, technology, good. We had someone use technology, that's data science. No, that's not data science. That's using technology to help augment training. Using data science is understanding the information that happened during the training process, looking at it contextually to then prescribe saying, I'm gonna do this exercise or this exercise based on the collection and maturation of the information. So instead of cookies here, I eat one cookie. It's, oh, historically I know there's gonna be 12 cookies every seven days. I have two days left. I can eat three cookies now. I can hide two and tell my sister Amelia, oh, there's only one left, very weird. I don't know who ate the other two. Well, Max, let me wrap up with a very interesting challenge that I think all data scientists face, well, maybe all citizens of data science face. And I'd say citizens of the data science, I mean, people understand how to use the results of data science, not necessarily people who are creating the data science. And here's the challenge, that if you make your decisions just based on the numbers alone, you're likely to end up with suboptimal results. And the reason why that happens is because there's lots of outside variables that have huge influence, especially when it comes to humans and even machines to a certain extent. Let me give you an example. Baseball is infatuated with cyber metrics and numbers. Everybody is making decisions. We're seeing this now in the current off season. Who was signing contracts and who was giving money and they're using the numbers to show how much is that person really worth and organizations are getting really surgical and their ability to figure out that that person is not worth a six year contract for $84 million, they're worth a two year contract for 36 and that's the best way I'm gonna pay but minimize my risks. And so the numbers are really driving allow that but it isn't just the big data that helps to make decisions and in fact, I would argue the insights carried from the small data is equally important, especially in sports. And I think this is a challenge in other parts of the business is the numbers itself, the data itself doesn't tell the full story. And in particular, think about how does an organization leverage the small data, the observed data to really help make better decisions. So right now in baseball, for example, in this off season, the teams became infatuated with using numbers to figure out who were they gonna offer contracts to how much they were gonna pay them for how long. And we saw really the contracts, in most cases really shrinking in value and size because people are using the numbers and comparing it to say, oh, so-and-so it only got this year only gonna get this. And numbers are great, but they missed some of the smaller aspects that really differentiate good athletes from great athletes. And those are things like fortitude, heart, effort, resilience, these kind of things that you can't find that in the numbers. So somebody's ability to a closer, right?  Who can fight through when they're tired? It's late in the game, you've been playing, it's a 48 minute game, you've been playing 40 minutes already, you've hardly had a break and you're down by two, the ball's in your hand, a three-pointer's gonna win it, what are you gonna do? The numbers don't measure that. There's these other metrics out there like fortitude and heart and such that you actually can start to measure. They don't show up in numbers, but they come from the insights from subject matter experts to say, yeah, that person has fight. And in fact, there's one pro team that actually what they do in the minor leagues, they actually put their players into situations that are almost no win because they wanna see what they're gonna do. Do they give up or do they fight back? And you know what, again, you can't, bad average doesn't tell you that if somebody's gonna get up and they're gonna give up, it's a ninth inning, you think you've lost, you know what, I don't want that person out there. And so think about in sports, how do you compliment the data that you can see coming off of devices with the data that experienced coach can say that that person's got something extra. They got the fight, they have the fortitude, they have the resilience. When they're down, they keep battling, they don't give up. And you know from experience, from playing and coaching, I know from playing and coaching, the guy is gonna give up, you know who they are. I don't want them on the court, right? It may be the best player from a numbers perspective. Hell, if that was the case, Carmelo Anthony would be an all-star every time. His numbers are always great. The guy lacks heart, right? He doesn't know how to win. So think about how as an organization, a sporting organization, you use the metrics to help give you a baseline. But don't forget about the soft metrics, the observable things that you got that tell you that somebody has something special.  Data is here to augment you and your decisions. It's not here to override you. It's not here to take your place. And so when coaches fear data, it's the silliest thing ever because it's giving more ammo to a gunslinger. That's all it does, right? It's not gonna win the battle, right? It's just the bullets. You gotta still aim it in fire. And so when we look at it in regards to performance and athletic development, all these numbers, they'll never be right, ever. They'll never be 100% perfect, but neither will you. And so what we're trying to do is help your decisions with more information that you can process into your brain that you might otherwise not be able to quantify. So it's giving that paintbrush, not just the color red, but it's giving all the colors to you.  If I could add one point, Max, to Bill on that. Data won't make a shitty coach good, but it'll make a good coach great. Yeah, yeah, I couldn't agree more. Well, dad, thank you for being on here. Really appreciate it. And for everyone who's listening, this is going on prime March Madness time. And so to pull away the Dean of Big Data from March Madness who, for people listening, he made his bracket on the Google Cloud using AI. And so it only he, so I was just thanking him to come here and only he would be the one to, I guess, take, I don't want to take the fun out of it, but try and rig the family bracket for used all augmented decision raking he possibly can. Like I said, Data won't make somebody shitty good and I'm still not good. Google Cloud couldn't help me. I'm still at the bottom of the family pool. Oh, no, it's great to have you in, I guess, every minute here's worth double the Dean that's March Madness time. Thanks Max for the opportunity. It's a fun conversation. All right, thank you guys for listening. Really appreciate it. And I hope you guys do it next time.


Thank you, sir. Yes, sir. Thank you, sir. We really have to do this. I'm right here. Send something to you. Mr. President, it's on turn. Yes. Thank you, sir. How are you? It's nice to see you. Yeah, it's good to see you. Let me take this opportunity to tell you how much we appreciate what you're doing for us. Well done. Thank you very much, and I appreciate what you're doing, Mr. President. My secretary is named Sharon Rankin, and her husband is a billionaire gentleman in the Air Force and works on the SDI. And I said, should I tell the president anything? He said, tell him we love him. Well, let's give them a... Mr. President, as one item of business, in connection with Tom Kermit's confirmation, Senator Cranston has written him a letter, and he wants the assurance that all matters pertaining to the VA, all matters pertaining to the budget of the VA, he will have access to you or your top assistants, and I want to assure him, and I want him to be able to say that he's spoken to you about it, it will be done. And I want to assure you that without Senator Cranston sticking his nose out. Sir, from my experience with you in California, I didn't need the words, the background and the track record tells it all, but I appreciate that. But I think part of the reason for this meeting was to be sure that I could go back and shake him. Thank you, sir. Thank you. Thank you, sir. It looks very... I can't see a single spot of that snow left now until this weekend. They're saying it's going to be colder and maybe some... I'm 30... Let's say it's quite a bit colder up there, doesn't it? About 10 degrees. It runs about 10 degrees. In the summer, that's great. It's about 10 degrees cooler. Thank you, Mr. President. How are you? Just fine. Thank you for coming to my family and it's great to have you. This is Christine, Mr. President. Hi, it's a matter of meeting you. It's my wife, Theresa. Hello there. It's a town from Houston. Well, this is my wife. That's a quarter. Hi, nice to be here. It's your birthday. It's a year. Yes, and this is really a Reagan family now. They traveled when I went down in a movie and had a great time. They were in a coup when we were down there as your ambassador. Thank you for doing what you were doing. Shall we get a... Yes, family photo. That's great. Thank you. Thank you. Thank you. Thank you. Thank you for doing what you were doing and shall we get a... Yes, family photo. Absolutely. Just fine. It was a great day. Thanks. Thank you. Oh, yes. Great job. Lost two of them. That's okay. Keep plugging it'll work. We're rooting for you. We pray every day for you.   I know what you're doing. We're a double product team. I love it. I love it. It's wonderful. You're a double product team. I love it. I love it. It's wonderful. That's okay. Thank you. You're a double product team. Praise this guy. Praise that guy. Praise that guy. So proud of you. Thank you. Thank you. Thank you. Thank you. Mr. President, it's so nice to meet you. Really. We're just your biggest fan. Thank you. Thank you, sir. We do get to see the elections. All right. Thank you so much. And Mr. President, I just want to make sure that you have the most time of the entire year. I don't want to be on the podium. Thank you very much for being here. Thank you. Right out. You just talked to him. He's on my side on the contrary. Thank you, sir. Okay. Thank you. Mr. President. Frank Johnson. How are you? I'm fine. It's a picture I made in Vietnam. One of the tunnels. Oh. It's one of the... It's one of the... Viet Cong soldiers and his assistant sergeant who worked with them at the time during the war. I went back to their 10th anniversary and I toured through the country. What else? So the countryside. Right. Thank you. Nice to see you. Mr. President, how close is the National Geographic? Well, nice to meet you again. This is a picture I took in Switzerland during a day called Lang's Commander where the Swiss community come out and show their hands on a voting process. And that's their process of democracy. Thank you. Now who is that? Here's two big children looking for Big Bird. And a wind came by and blew their umbrellas. Other dresses here are kids in bags. I guess he used to say this. That's what we're watching. Oh. Of course. Yes. Someone they knew. Nice, nice, yes. Very good. What goes back to Washington Times? Nice to see you. Nice to see you. Here's a little story we did on the... It's a whole big one. One more. One more, please. When the Amish was built after the tornado in Pennsylvania. Oh, for heaven's sake. I got destroyed and just... You got turned that around. Okay. How's that, huh? No. Rick McCock's newspapers. TWA hostages when they came back. Oh. I remember that. Yes. Can I get off and pick up the sneeze? There's a little sneeze there for you. These are all the television cameras in there, Mr. President. They won't have any stills to give you, but... All right. So nice to meet you. I want to wish you a happy anniversary. It's a little late, but... Thank you very much. Thank you. Thank you. Thank you. Thank you. Thank you. Sir, qualifying with CBS. I wanted to know if you won 60 minutes, two weeks ago. He's on retort. Ah, and I win it. Yes, I think.  Yes. I'm going to produce that in a couple of months. I know if you watched it. Yes, we did. Okay. All right. Do something big for us. Thank you. Mr. President, the next gentleman won for the best lighting. Yeah, the largest. The largest. Is that the first lady inspector? Oh, she's going good. She's playing with that. Wow. Good to see you. The next gentleman was the best sound. Mr. President, Jeff Goodman, NBC News. How are you? Okay. Yes. The best editor? Mr. President, Mike Terkowski, how do you say... These little sisters laid the dance floor. You know, but for none of them... You're very interesting. You're very interesting. Yeah. This is one of the final accounts. Hello, sir. Hello. Nice to meet you. Nice to meet you. Hey, Kerry. Hey, get the room. Get the room. So, can I ask... We can't see some of the faces tomorrow. Come on up tomorrow. A little bit. I'll be right back. You can't see that. You can't see that. I can't see that. Three smiles, thanks. Thank you, sir. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you, sir. Well, this is a super news kit for the equation. We'll see you later. See you later. Geographic and Duval. Thank you very much. Very kind of you. Congratulations. Thank you. Thank you, sir. Hope you can make her a good companion. Thank you. While we're here, I just like heard one of the visitors invited to the business break into the dinner. He was here two years ago. Look, we've been talking to him. It's May 15th. May 15th at the shore. We've been in touch with Larry, speak to Ari and Pete. We hope to have a good evening and we've got a tape that we're putting together of all the former presidents. It's a good video. So we look forward to seeing you. Thank you for the session. It's going to be so late here. I'll just think in the morning. Hi, Charles Johnson. How are you? I'm fine. Nice to see you. There's light in there on the throne. Nice to see you. Nice to see you. All right. This is Steve Reinsen. So I start for 15 minutes. The bottom line is Steve agreed to be our coordinator. He was a fellow who was with AFS International, one of the leading not-for-profit companies that made exchange of students. He was head for nine years and handled 65,000 exchanges around the world. And when we had the President's Youth Initiative that you introduced at Versailles, he helped put the whole thing together that's been magnificent. He's so excited about this challenge that he's left his consulting business for a year or two or whatever. And he has been here as a consultant to the World Bank on the management sciences and also in OSAC. So we had, with the cooperation of the NSC and state, we had a good representation. We had 19 meetings with the key leaders there who are responsible for culture, radio, sports, the whole thing. The bottom line is Arthur Hartman sent me a cable and said, I don't know how you will be received. They've been attacking me. Harry has done a great job. I'm going to do another one for us. We're going to have a frequent flyer program for again. I'm going to carry those shoes which are 50,000 miles each of all of your Central America places the best day. We couldn't do that many miles. The transition was quickly bloodshed, incidental bloodshed, transition. We did get a good credit with the Philippines. They understood the crucial role in bringing that up in a very flat. This is a keynote that started off well. Good cabinet. We know almost everybody in the cabinet and we know the world.