are indebted to each and every one of you for your time and your participation here today and of course our host and presenter Melissa Armo. So with that, let me see if I can round up the percussion section. Drummers, are you ready? And with that, according to my iPhone, it is exactly 430. Please put your hands together and welcome our host and presenter today from TheStockSports.com. Thank you so much online trader central. Welcome everyone. Can you hear me? Let me know if the sound is good. Let me know if you can see the red slide. Great, wonderful. Good to be here with everybody. So today we're going to talk about how to earn a six-figure salary using advanced technical analysis. And there's many, many different ways to trade. Some people look at fundamentals. Some people look at technicals. I am basically a chartist. I look at charts and I read the price in charts when I'm determining what stocks to trade. You can also use my method for ETFs or even like the overall market. And I did predict the move that the market has made higher and is continuing higher based on my system, which we're going to talk about today. So I don't read any fundamentals at all. Many times I will look to see if the stock has had an earnings report. And one of the stocks we're going to talk about in today's lecture is something from last week. It was Lulu and it was an earnings report. But I don't read what the earnings report says. I don't read if it came out good or bad or whatever. So I'm really just looking at the price. And so you can make money just using technical analysis, but you have to have a method to do it. And so we're going to talk today about doing it and how you can pay yourself and how you can do this if you want to do it for a living even as your full time job. The one nice thing about trading is that it's not full-time hours. There are some days though that I may take it late afternoon trade, but for the most part I am trading just in the morning between 9.30 and 10. And I'm on the East Coast. I'm in New York. So it depends where you are in the world. That's the time when you want to be able to trade. If you'd like more information, you can email me at melissa at thestockswish.com. And you can go follow me specifically on YouTube. I have a lot of videos on YouTube for you to follow me. So let's get right into it. The fact is that a lot of money exists in the stock market. This is just something that everyone knows. But for some reason, traders or regular everyday people, individuals, people that I talk to a lot, I've had my educational business now for more than four years, feel like it's not within their reach. But you only need such a small, tiny, tiny, tiny piece of that to even make $100,000 a year or 200 grand a year. Even as one individual, it's like a dot. It's like a spec, even to make six figures a year of the amount of money that exists in the market. So for some of you who have problems overcoming this idea about making a living trading, think about it as the market as a whole and the billions and billions of dollars that flow through the market every day. And then you can grasp the concept and the idea that you can do this and that it's still such a small, small portion of the money that's going in and out of the market every single day. So the fact is that you can make money in the market, trading stocks by buying or shorting them. And I prefer to short, which we'll talk about later too. But I will sometimes go long. As an individual trader, you can access capital by trading with leverage, which you would get at a broker where you open your account. So you don't have to have hundreds of thousands of dollars in order to trade. That's the nice thing about leverage or buying power that you get from brokers. This leverage can assist you in making substantial profits just like professional traders who have huge amounts of money and are trading. And you've got to learn how to trade like them or get in positions that they are in with them. The key is learning how to trade like a professional so that you can just ride the coattails of the moves that those professional traders are making because professional traders are taking really big positions in stocks and they are moving them. And the one we're going to talk about today is Lulu, which had a huge move last week and it was to the downside. So becoming substantially successful in the market is possible. And it's even possible as you as one individual. And the idea of even making six figures is it possible as you as one individual? Because if you look at the bigger picture, it's a spec of the money that exists and flows to the market. So hopefully that will help some of you overcome these mental challenges that you have about seeing the money because you do kind of have to be able to see the money, to manifest it, to believe that it's possible, to do the work necessary to get it, to do it, to take the trades and to learn it. One major difference between a so-so trader though and a great trader is that great traders are absolute masters at technical analysis. An elevated degree of comprehension and reading price action is required for success. And we're going to talk about that today in a lesson. If you do not know how to read charts in a sophisticated manner, then it's time to learn. And once you do, you will begin to see the potential that all the market has to offer by seeing a detail in price action that you never even knew was possible. You know, a lot of us are out there and we can pull up charts and we're going to look at some charts today from anywhere. You can get charts off of freestuffcharts.com, but it's not going to be live price. Here, I'll just put this in the room because this is a good little site here that just has free charts, but it's not live price action. Like you need a live level two for that, but it's a pretty current. And anyways, you can go there and you can look at charts. So we could all see what the stock is trading at Apple, Netflix, whatever you want to look at. And most of us have cell phones or iPhones and we can see what price of the stock is trading at. But it's where it's going to go next so that you know where to take the trade because that's how you're going to make the money. Okay. But we all see the price of something when it's trading and we can all get pretty, pretty accurate data information pretty much real time from anywhere that we look. So people that are masters at trading have an advanced skill set. And this is what I have. It's I've been trading for more than eight years now. The skill that I have and what you come if you came to learn from me is how to read stop charts in technical analysis and in an advanced way. And the reason this is so important is to make significant money in the market. You have to be able to track or read the pattern or the footprint of large money investing or withdrawing. When these big institutions, these big banks, hedge funds, when they either buy a stock and invest money in it or they sell it their positions and take money out and withdraw it. And that's what I'm looking for. That's what I'm predicting or forecasting before I take my trades. So this is where the advanced skill set lies in learning how to forecast the direction of price through the study of past and current market data. And that's why you need to have, you know, a chart and a live level two to see what is happening and what did happen in the past. So you put the odds highly in your favor when you trade in the side of this large institutional money. And I never trade against this. All the trades that I'm looking at are with this, which is one of the reasons why when I take a trade, it usually goes right into the money. Whether I do options trades or whether I do day trades, they usually go right profitable. And you could quick it out or some of them you could hold for longer. It's up to you. But like I said, I like to be in and out of the day trades early in a couple of minutes. Now, how can you tell where the side of the large money is on? You learn an advanced way to read price patterns and charts. So, you know, again, common sense is that people go to school when they're serious about doing well and they want to learn something, they will go and they will learn it. If you wanted to become a doctor or an attorney or a nurse, you would have to go to school and you would learn how to do it. It's easy to say I get people the same list that can you refer me a good book I can read, you know, I can't really say one specific book that I can tell you to read that will teach you what you need to know about how to make money the market. You can learn certain different things about chart reading. There's different candlestick books out there. There's a good book by Steven Eason. It's called Japanese candlesticks. It's very dry. But that book is a good candlestick knowledge book, but it's not going to teach you how to make money using the technical analysis. So, you'll learn different things about charts, what's on a chart, but you're not going to learn how to use that information to make money. And obviously, that's what counts. Hey there. Hi everyone. Some people are saying hi to me. If you just signed in late, you didn't miss that much. We're just getting going here. So, the point is if you're serious, which you must be in order to make six figures a year, then you've got to learn what to do. Okay. So, it's important to make the time to learn how to trade on the higher level. And what do I mean by that? I'm going to show you here in a second a chart that someone else's chart in a minute. But you've got to focus on learning what to do. And if you're able to do that, then the money naturally will come. We're going to talk today also about an option call. I just called very quickly today. Got in and got right out. And it's not even at the strike. And it was 100% return on investment that you could do in one day. And that was an option trade. For those of you that are subscribed to my YouTube, you can go to this video. I talk about the trade so far this year in 2017, but I have a win ratio of 82%. So, if you want to make money and you want to make six figures a year, you've got to have a system that you learn that has a high win ratio. If you have a good system and implement it daily, you can make money. It is based on common sense that you need more winners and losers in order to profit trading. So, a high win ratio system is very important if you want to make money, especially enough to earn a living trading. So, you would receive, if you came to trade with me in my trading room and did my class, you would obtain an advanced education and technical analysis. And I have not written a book yet. I've thought about it. It takes a lot of time to write a good book. I would never write a book and slap it together. But I've thought about it. But the system that I do, I created myself so it isn't out there in any book until I write my own book. But you can learn little tidbits here and there from different books about how to read charts or candlesticks, like I said, but you're not going to learn the advanced education. And particularly what I'm going to go over here is the certain, certain thing that I'm looking for in my charts when I'm looking for it. What I'm looking for when I look at a chart, this is a daily chart and I squish these bars together. They're very, very small. I'm one all the way back now two years. Okay, this is, I know this is small, but this is late 2014, early 2015. And I wanted to show you a chart of the ETFs to the QQQs. Okay, what I'm looking for when I'm reading a chart, and this is the advanced method I'm looking for is I'm looking to see who is in control of the price action. Now, how do I determine that? I look for the gaps in the chart. Now, you can use this for stocks or you can use this for ETFs. Now, the, again, these are very, very small, but you can still see them. We're going to go over what a gap is just very briefly here. Some of you know some of you don't, but a gap is when the closing price at four o'clock is at a different price than in the morning at nine 30 when the stock or the market opens. In this case here, the market gap down. Now, this is very, very small, but you can still see it.  This is even a gap down here, then a gap up. This gap up here that happened in February 2016. Okay, we're going back now more than a year. Take it across, take it across, take it across has again, I'm looking at the price. Okay, go over, over, over this gap up in the QQQs has held. Okay, see this here. So here we are. This is today or it was whatever time I clip this. So this is today. Here we are, March or April of 2017. This was February 2016. We have held this price level in the QQQs all along. So if you bought this gap up in the QQs, and this could be anything, anything at all, but it's a QQQs. If you bought this, you were still up and you were up every day for the last year plus and the markets had a nice run. So if you bought around this $100 price point level, the markets up around $130, one-ish. So this was a gap up, boom, that happened. Stock or the market closed here at four o'clock and then it gap up, opened here at a different price. This gap has held and we've taken off. Okay, so who is in control of this market? It's the bulls. Okay, now how do I know? Because I'm looking for the gaps. Now as I said over here, this was a bearish gap. This is a bullish gap. This was a bearish gap. There's different gaps. Here you have a bearish gap. Here is you have a bearish gap. Here you have a bullish gap. So the market gaps a lot more than stocks do actually. But I have a method to rate these gaps to determine, like you could have rated this one here, it was a bearish gap there, who's in control. If you know who's in control, that's how you can profit because you will take the trade of the side of the control. And in this case here, if you had rated this gap as a bullish gap as a long, you could have been in this for the last year as a swing trade or some kind of option trade and you would be up and you would have never been down any second ever since more than a year. Okay, so the control here is to the upside of the market. And I did predict that. Oh, here, I blew this up a little bit, but you can't see the one back here. Actually, here's another one here. There's another one here. This is July, the market gapped up. Again, my system focuses on gaps. So the advanced part of what I do in the technical analysis, looking at the charts and looking at the prices, the price of the gap, I'm looking at the gaps. So the price of the gaps. And that's how I am doing the price forecasting and saying this is going to go here. So here you have it. This gapped up here. This was July.  This was before even the election. Now going back over here, where was the election day? Oh, here was the election day here in November and the market took off after that as well. Okay. So you've got to train your brain to read price action. And what if you came and learned from me, you would learn how to read gaps to train your brain to read the buying and selling, whether it was going to come in that day, whether it was going to enter, whether it was going to exit, whether we're going to buy it, whether they're going to sell it, whether they're going to short it, whether it's new money or whether it's covering. Okay. For example, sometimes we have a gap down and it goes green and it's short covering, but it's not really buying. Okay. These are the things that you would learn reading the charts, being in the class with me. And this is what I do. Well, I've trained my brain to read this. Now here was today's trade option trade in Google. I called Google calls. Okay, Google had a gap. Google opened rally. I called Google calls this afternoon to buy a 45 strike, which it's not even at yet. Okay, expiring out a week. And today, if you had done this trade, it was more than a hundred percent return on investment if you got in and got out. Now it still could go higher, but if you can take money and be in and out and flip it around in a day, that's a very, very profitable trade. Okay.  This is how you will meet your goal. If your goal is to make, and I'm just saying a hundred thousand dollars a year, but obviously you can make way more than that trading, you know, but if your goal is just to make a hundred grand a year trading, your average weekly globe would be $2,500 a week. Okay. So how do you make those goals? And we'll talk about this more at the end. You chunk it, chunk it, chunk it, $500 here, $1,000 here, and you don't trade when there's no, when there's no good trades. Now I'm going to go over this, this Google contract or the Google position here or the Google call from today. So if you had bought and again, you can do any quantity you want. Okay. Again, how did I figure this out? I forecasted the price. This is going to go to want to 845 in the next week. Okay. But you could have taken this and got in and out today, which I did and made more than a hundred percent. You don't need to get it through the strike. Um, and the only, I didn't do any trades today but Google. So I didn't do any shorts today. I'm going over this right now. I was just talking in general about the market, just explaining the market chart that I didn't do any trades today in the market. Okay. This is the trade from today. And so this isn't tiny and this isn't tiny either. I was trying to show you the overall market and I know it was tiny, but you got the point of what I was trying to say. Anyways, if you bought the Google contracts today, depending on where you got in, the cost was anywhere between one something and two something depending on the time of the day in the afternoon. And this was an afternoon trade on a morning trade. It was cheaper in the morning. If you had bought 10 contracts, which was 1000 shares of Google today at a 2.1 cost, okay, would have cost you $2,000. You didn't have to buy that many. You could have bought five and spent 1000. Okay. You could have bought one and spent 200 bucks. Either way, the trade's the same. So the Google today had more than 100% return on investment. If you were in and you were out and it's not even at the strike. So do you see how you're making money? I'm going to go back to the chart, getting the buying, the institutional buying. I'm reading the price action in the gap and I'm getting the institutional buying and I'm playing it through. I'm just playing it through. I don't even need to get it to the strike or through the strike. I'm making money as it's going. Do, do, do, do, do. Okay. No, I did do the Google today. Is this not clear? I did Google today as an option trade, not as a day trade for equity position. It's an option. I'm going over the trade right here. Okay. If you don't understand this, I'll break it down again. 10 Google contracts today cost $2, which would be 2000. That's what you would have spent. Okay. You could still be in this though. It had an expiration date out till next week, but I got in and got out, but that was my decision. And the reason is because what? Good return on investment. So you could have taken 10 contracts today and sold it for 450. So at a cost of $2, your profits what? $2.50. Could you make more? Yes. If it goes through the strike or to the strike or carries through in the next week, you will make more, but this is what I'm talking about. You get in and you get out. Boom. So this was 2500 bucks in one day. If your goal is to make $10,000 in a month, I have bigger goals in that, but either way, if this is just your goal, you could have done this and just made it in one day. Your goal for the week. Okay. So yes, I did do this and got out of it today. It does look higher. It does look great. It's got a week left. It could make a new high. It could go $10 through the strike. The strike's 845. It's not there. It's almost, it's getting there. So I predicted that this would go like this today and go there. And so I did an option trade. This is different from a day trade. Now, I'm still using technical analysis. I'm still using my system. I'm still looking at institutional buying or selling, same principle, same concept in the gap. Okay. The, my ability to be able to predict that is based on advanced technical analysis, reading the gaps. So the nice thing about doing options is that some days like this morning, there wasn't any good day trades in the morning between 9 30 and 10. So I didn't do any. So you can do an option trade sometimes on those days. And you don't have to worry about buying power because this is an expensive stock to trade. No, you can, you can do this in stocks. You can do this in ETFs. Okay. Anything that gaps, you could do it. All right. It has to have a gap. And here I just clipped this quick before we got out. So you can see here what the 845s were worth, but they looked great. Okay. They looked amazing. Anyway, traders who make six figures a year are masters at reading charts. And this is what I do. So if you want to do this, it's possible because again, even $2,500 in one trade is just a small, small spec of all the money that exists in the market. Now here's another one. I want to look at, this is target. Okay. This was a couple of weeks ago. You look at this and you say, well, where's target going to go? How do you make the prediction? What can we do with this? Well, let's take a look at the chart. The stock closed here. This is way back here at the end of February. Then the stock had a gap. This is what I do. I analyze gaps and make the predictions according to the gap. So this in here, I actually did do, or we called in the room in here and it was a loss. Okay. It was a loss in here. I think that was the day that Gallagher was here actually. This failed. So everybody in the room took a loss in this one. And then I called an option put and then it worked, fell, fell off a cliff. Okay. So this fell all the way down, down, down, down. And it worked with puts that I called for 57 and 58 puts and it went through the strike. So sometimes there will be a day trade that doesn't work as a day trade and that works as a swing trader and option. So then you go back after it for that. Again, my prediction was the target was lower. So sometimes on the day, it won't work out and you will take a loss. Remember, I said I have an 80% win ratio. That means if you take 10 trades, you should expect that two will fail and 10 and eight will work of the 10. So you will take some losses. In this case here, the day trade and target was a loss. And then everybody that did the option made money in the put. Let me get out of the trade today of the Google. Andrew's asking about this because the market has not hit up over the high yet. It could have today it hasn't. It looks good to do it. I still think it probably does in the next week, but you lose time value every day. And I mean, when something is 100% return on an investment that you take on the same day, that's real money. If here, put another zero, put another zero here, people. If I took, and I'm just going to make my point, I did this last week in the trading room. If I took 10,000, 10,000 shares, I didn't, but what if I did the cost would have been, well, I would have been 200. Yeah, it would have been 200 contracts. Is that right? Yeah. So if I had taken 200 contracts, or no, 100 contracts, I'm sorry, I'm thinking 20,000 or something. If I had taken 100 contracts, it would have been 10,000 shares times two dollars. That's what I was thinking too, equals, this is the cost. So if I, I'm just saying add another zero. Okay, I didn't take that many, but a $2 cost times 10,000 shares, which is 100 contracts, would have been what $20,000. Are you telling me that if you would have been up $25,000 profit that you wouldn't have gotten out? I would have gotten out. So I mean, it's about the accuracy and then plopping on the sides to really make the money. When you can get to that point where you're seeing things, you know, as clearly as I do, I mean, this is where I'm headed. So we talked about this last week in the room, and I use an even bigger example of profit. But I mean, honestly, are you telling me if you were up $25,000 and a 20 grand on at risk, you'd follow that through overnight, not knowing the market could gap down tomorrow? Who knows what could happen. It could pull back. It looks good. I'm sure that it's higher, but you don't know 100%.  Boom. So you add another zero on that's real money people. Okay. So yeah, I mean, could it fall through? Yes. Am I out of it? Yes. Okay. And $2,500 is $2,500. Now let's get back to target. Okay. So my system predicts where things are going to go. My trading system uses technical analysis to forecast and predict where stock will go either up or down when it gaps. And that's what I do. But first I wait for the gap. All right. I get the gap, then I make the prediction. Okay. My system has about an 80% win ratio, which means that for every 10 trades, you should expect eight to be winners and two to be losers on average. This is a high probability system. I'm looking for the gap to work in the direction of the gap if it rates over 20 points. So I have a checklist I use every day to rate gaps based on a 26 point system. They doesn't need to have a perfect score. It needs to have 20 or more to get it. It is a strategic system that uses advanced technical analysis to take trades to make money in the market. You can use the system for day trading, swing trading, your options. And I just showed you the option example, but we're going to go over the day trading Lulu here in a minute. Now for those of you, again, some of you signed in late, but just to review again, what is technical analysis? If you've never traded before and you're brand new, it's looking at charts. It's looking at price action, current and past. Technical analysis is a trading tool employed to evaluate securities and attempt to forecast their future movement by analyzing statistics gathered from trading activity, such as price movement and volume. Unlike fundamental analysts who attempt to evaluate a securities intrinsic value, technical analysts, which is me, that is really what I do, focus on charts of price movement and various analytical tools to evaluate a security strength or weakness and forecast future price changes. And the way I'm doing it, though, is in gaps. So here was the Google. Oh, no, I'm sorry, I wrote this wrong. It's Amazon. That's my bad. This was actually Amazon from last week. This one I called, I didn't do it. This was a huge, huge trade that happened last week. I did another option trade that I called for people in the letter. It worked.  So I called the 860, this isn't, this isn't Google, just so you know, it's Amazon. I was messed up in the title. I called the 860s. I called it this day. The second day after, it went to 875. So you could have done this in here. And then by the end of the week, it all went all the way up to the dream target of 890. So again, this is an option trade. If you had done it, it went $30 over the strike with no time value at all. This was another huge, huge trade. I gave two dates on this one, Friday last week expiring and Friday this week expiring, or which was Thursday, I mean the 13th because of the holiday. Or no, it was the 7th. Yeah, I did it the 7th. I didn't do it to the 13th. But I did the, the Google's out to the 13th. Anyways, this was in here. You could have gotten out of it on March 31st. So you focus on being a professional when you're taking trades. Again, when you get in, you get out when you're up. You take the trade, you see the move, here's the buying in this. Gapped up, ran, gapped up, big move.  So this again was Amazon. I have the wrong name up here, but every day last week, it gapped up. Boom, boom, boom, boom, boom. Okay? So you're playing this move. You're playing the move, and you're getting it up, and, and you know, that's the kind of thing that I predict. This was, this was a, this was a huge call. This was a huge call, but I had stuff going on last week. And the exit really in this would have been here in the afternoon or even in here.   So you focus on being a professional, which ends, what's the information? What's the price telling you? Now I pulled this off of another place. I'm not going to say where it is, but I wanted to go over this because I shorted Lulu last week. Okay? This is a completely different place. Some video I pulled it off of somebody online that was talking about buying Lulu. In fact, in the video, they bought Lulu in the post market when the earnings came out. They killed the trade. It was a loss and they were looking to rebuy Lulu at a $50 level. I don't know what these indicators are in here. There are just some kind of trend lines that the person had on the chart, but there's a fallacy out there that indicators are really the way to trade. And you look at trend lines and that there's some kind of consistent reliability in them that you can take trades into support or resistance if we're shorting stuff to consistently make money. People really use indicators like this person on this chart to make decisions of what to do, but it doesn't work. It doesn't work consistently to make money. If there was something like that, we'd all buy it and we'd all have it and it wouldn't work and they don't work. Okay? So I don't use any of these things. And it's a fallacy that these things work and that you can make profitable trading decisions based on them. It's a tool like anything else, but it's not the reason you take the trade. And Lulu isn't a buy at $50 and it would be a horrible buy at $50. And I'm going to go over this in a minute here. But people are probably longing it because it held 50-50 last Friday. That was a low. It held and it bounced, but it's heading to break it. It's heading to break it even today. Okay? So a lot of traders out there think, and this looks very sophisticated here. When you look at this, all the fancy lines, but there's no sophistication in it. This is just the computer that put these lines on here. The person that's using this isn't using their brain at all. And I use my brain when I make trading decisions, okay, based on what the price is doing, not based on what some line that a computer made in the chart is telling me. And I'll explain why in a minute.  I screwed up here in the title. This was Amazon. This was a call for last week. I can pull up the Google. Google was today. Actually, I called Google last week too, but there was another Google one today. But if this was a screw up here in my part, it's actually Amazon. I had too many charts and I was rushing at the end. We can go over the Google trade from today if you want. But I don't know if that's what you mean or do you mean Amazon? Because I screwed up here in the title mark. Do you mean this chart here, which is Amazon from last week? Or do you mean the Google today? If we don't have time before the end here, I'll do a video when we're done. Just tell me which one you mean. Today's one or last week's Amazon? Okay. All right. Well, if we don't have time, I'll do a video and post it on YouTube at the end. Anyways, okay, backtrack to what I was saying here. So another trading room was buying, okay, or looking to buy and was in long and then killed it, the Lulu last week that I was looking to short per my system. Okay. Seeing that it was going to have institutional selling. Okay. So many, many traders out there think that they are acting like professionals by using these kinds of fancy lines because this looks very sophisticated, but it's really just not even using your brain at all. Not even really thinking about what's actually happening. Okay. You don't want to be with what most people are doing that are day traders. You want to be with the professional traders, people that are trading big, big size and moving stocks. And you have to focus on the right info for that. And I know you're used to doing something. You might be used to having charts like that. You might be used to having all kinds of different indicators like that that you've relied on for years, but you've got to motivate yourself to learn something new because you wouldn't be here otherwise at whatever you were doing was making gobbles and gobbles and hordes of money. So a lot of times people kind of have to get out of the rut that they're in thinking that certain things that they're looking at like trend lines and stuff works when it doesn't. What I do is based on a system, it's a checklist. I look at the gap and I use advanced technical analysis to do it and that checklist is what I use every morning before I take the trade. And in something like today, I might see an option trade later in as the day goes, but I don't do option trades every day, people. I do the day trades every day. Once in a while, a couple times a month, I see the options. So you've got to think of yourself like if you were in charge of going into surgery or even if you were like a pilot, you have a checklist, you have a list of things to do. Check it, check it, check it, check it. Doesn't meet all these criteria. If it does, you're clear for takeoff. You can do it. If it doesn't, you can't take the trade. Like I said this morning, there was no shorts. There was no day trades in the morning. There was no good shorts. There was no good longs in the morning for day trades. And I don't day trade Google or Amazon to take a trade with a position to put a stop. It's just very expensive and the stops are big, but options is different because you only risk the cost. You don't have stops. But anyways, I'm in charge of what I do when I trade. And the checklist points me there. And that's how you know what to do it. That's how you make the money. Traders who are making money are using a certain skill set and it's not based on lines on a chart like I showed you, which looks very fancy, but really tells you absolutely nothing. So you've got to learn a special language. The language that's in the charts, like if you want to learn Spanish or Portuguese or whatever or French, okay, you learn the language in charts. And that's what you learn from me. And it's based on the gap. It's really the language of gaps, which is something that I'm extremely good at. And I watched that video that that brother person did, they went on and on about how the gap in Lulu was going to fill. And the gap in Lulu is not going to fill anytime soon. I'm not saying it never fills, but it's not going to fill anytime soon. So you've got to look at things in a very professional manner. Now, here was another, this was this whole video, I clip this too. There was, there's absolutely no system here to what this person was doing, other than the fact that we're looking at these lines and determining that this prior support here at $50, okay, was a buy for Lulu. Who knows what I don't even know what all these lines are. But anyways, this person is making trading decision based on these lines, wanting to buy Lulu into the $50 area. That's not a system at all. They're making a decision based on these trend lines. And this looks like a planetary solar system to me. It looks like it would give me a headache if I even had to look at it every day. I wouldn't even want to look at this. But this person isn't trading using a system, they're just using these lines. Okay, you can't make real serious money, which six figures a year is without a system. Now, here's Lulu. And again, I know I had the cues really small. I had the Lulu really small here. And the reason I did it is for a reason. This was today. Here's this, this is the same chart as this chart. This is this chart here. This is the same chart here, except for mine looks much cleaner. Okay. That place, that trading room, whatever, you know, is looking to buy Lulu at $50 still. So here's the $50 level, take it across, take it across, take it across. Here was the gap that I shorted last week, which worked. And we're going to go over that day trade.  And I'm just without even knowing anything with anything at all. What would you think? And keeps talking about Google. Well, if we will go back to that at the end, just stay with me with the Lulu here. I don't want to run out of time and or well, I'll do a video on it when we're done because Mark asked about it too. Everybody's going to excited about Google now. Maybe I should have talked about that at the beginning. Stay with me here on the Lulu. Would anyone want to buy Lulu at $50? Looking at this chart here, would you? Hello? Anyone, anyone at all? No one has an opinion? You can just write in the room. Tim says not yet. That's an honest answer. Gala had said not me. Tim says not yet. Well, Tim, where would you, since Tim's the only one that I answered, you know, besides Gala had, who's a ready student. Tim, where would you buy this Lulu? It has not hit the $50 level. Where would you, where would you buy it? Gene says not yet. Oh, Tim, you're saying no, you wouldn't rush it at all. Are you, it's NY yet? Is Russian for now? Oh, sorry, I didn't know that. I don't speak Russian. So you're saying you wouldn't buy it at all. Okay, good. 35, you'd buy it at 35. Oh, Tim would buy it at 34. That's a new number. Hold on, let's find it. Here, Tim would buy it here. I wouldn't buy it there either. Okay. I wouldn't buy it there and I wouldn't buy it at 50. And this person's trend lines would look even, look even way different if it trades all the way down to 35. This planetary solar system chart here would look way different than that. And if I pulled this up again, this isn't my chart. It's somebody else's I just clipped. You probably down here is around that $35, $36 area, which you can kind of see in here. That's pretty much the support. The point I'm trying to make is that there's a million supports in Lulu. Just like there's a million resistance levels in Lulu. How do you know how can you predict which one is going to hold and which one isn't? So Tim's saying, oh, I don't think 50 is going to hold, but I think 35 is going to hold. And somebody else had the same thing and just saying 35 looks good too. But how do you know 35 is going to hold? How do you know? How do you know? This guy thought 50 was going to hold. Now you guys think 35 is going to hold. How do you know? Is that an accurate prediction? So do you see what I'm saying? The idea of using certain indicators or buying supports and shorting resistance is not a system or a strategy itself. Right. Tim's being honest. He's saying, I don't know. And just saying it's support, but $50 was a support and $50 will be broken. I'm telling you right now it will be. How do you know that 35 will hold? You don't. Okay. The point is that when you're looking to trade in order to make money, you have to have a very high level of, I call it conviction. Okay. That's what I call it when I teach and I talk in the room. You have to have a very high level of conviction that something's going to hold a certain number or go to a certain number or take off if you're going long at or sell off if you're shorting. You have to have a certain level of conviction. It can't just be like, well, it could hold here and maybe here and maybe here and maybe here. When I take a trade, I have 100% conviction that it's going to, where was Google? 845 in the next week. Now, whether I stay in it or not till there, it doesn't matter if I'm up. That's my own money management decision. But I have 100% conviction it's going there. Okay. That's the target. So getting back to the Lulu. Okay. Where was I? This is the daily chart here of Lulu. And this was the, it looked better than it broke 51 than today as the day went on. Okay. This was the day of the gap last week on Thursday. Here's Friday. Here's the bounce. This is going to fall through, break the low and keep going and break and go down to 50 and break it. That's my prediction. Let's see if I'm right. I know that I will be. So this is not maybe or is it going to do this or is it going to do that? I'm telling you it's going to break it. The red line is the 200 peer moving average. So this is what I do. I'm forecasting. I'm predicting that this will happen like I predicted the Google today. I want to show you something here. Again, going back into the chart reading. I got to watch my time here because I want to go over the day trade and it's already 515. This is a weekly chart. It's a weekly chart of Lulu.  Look at that bar. This is a weekly chart of Lulu. It was last week. If you look at this, that looks like a scary monster. If you're long the stock in Lulu, I don't care where you're long it. That's a scary monster bar if you're long.  That's a scary bar if you're long. It's a beautiful bar if you're short. So again, common sense. That's a weekly bar by the way, people. Okay. And this includes the gap because the gap happened Thursday. So this is Monday, Tuesday, Wednesday, Thursday, Friday, last week's trading. Okay. That's the whole week that includes the gap happened. Look at where this opened here to start the week last week. 63 and rallied up to 66 something and it closed the week at what? 50 something. You can't convince me to buy this at 50 or 35. Now let's go here and look at this. Here's the Lulu. This was the day trade. It was a good short. Stock open rally. Boom, boom, boom, boom. And again, this is what I do in the mornings. If you want a day trade with me, it's in the morning between 930 and 10. So here's 930. Here's 10. And this trade did actually keep going. Okay. I missed the exit here in the morning of this last week. It fell more. I did not get it all the way down to the low, which was 50, 50, but I did get it to 51. This low in here was around 51 30. So I held it through a pushback to a drop, but I was, I had computer problems. So I missed the exit here, but I did end up making a little bit more money. Anyways, here was the entry and then a pushdown and it ended up breaking. So it did hit the target, which was 51. The dream target was 50. It got within 50 cents of it. It just fell into it ran out of day. If you wanted to do again, enough risk to make a hundred grand a year day trading my system. Okay. I use this risk here for 80 around 500 bucks. You could have taken 800 shares. Stop with 60 cents. That's the risk. You could have made $1,200. So again, if your goal is 2,500 bucks a week, you made half your goal for the week in this one trade. This is a very good trade. We're talking about return and investment for the options. This is a risk to reward. So for every dollar you're risked in the Lulu last week in that trade, you made 2.5. And actually, if you held it all the way down to the low into the clones, you could have made 3. Now, if you're trading and doing well and want to take an advanced risk, which is how I trade now because I've been doing this for so long, 3,000 shares was an $1,800 risk in the Lulu. At 51, how much money would you have made? 4,500 bucks. So I did this trade last week. This was an amazing trade and this pretty much made my week. It was a slow week last week. I didn't do the Amazon because I had stuff to do in the afternoon and then it went. I mean, it went so quickly that I didn't want to chase it, even though it kept going. So this Lulu really made my week last week and I had absolutely no losers. So do you see? So you don't even need to be doing like a million trades a day. I do one trade a day. Maybe I do one day trade. Maybe I do one option. If I know I'm going to be around to watch it, I do one trade, one focus, one pick a day. This trade could have made your whole week last week, no matter how much your risk was. And it's a short just to reiterate that. Again, you don't have to take some massive size. If you've got a small account, so you only have two grand in an account, then just risk a small amount. $180 risk in this was 300 shares. You could have made 450 bucks. That's still a really good amount of money for this risk. So that was the day trade in Lulu. Now, people always ask me, how much time does this take to do the system? For day trading gaps, the time of the day is from about 9.30 to 10 a.m Eastern time. You only need to trade for 30 minutes daily, really for the day trades, because 80% of the moves happened into the open. And Lulu did go to 51.30 in that first 30 minutes. If you held it down into the afternoon, you got about 80 cents more out of it. For doing options trades, there's not a set time per day. It's whenever they set up. Could be in the morning, could be in the open, could be around 10 o'clock, could be two o'clock in the afternoon. It's when you see a good gap trade and I have a letter subscription. If you just want to sign up for the gap letter subscription for the option letter, you get an email to you. I'll talk about that at the end. But really, to be able to maximize my system, you would do the day trades, you would do the options trades, you use the system to make money doing everything you can to gaps, whether up or down. But in the morning, you really need to give yourself a good half hour before the open and then a good half hour into the open to trade. So from nine to 10, you got to be sitting at your desk, really, if you wanted to do the day trades. The options trades, you just get an email to you. Now, how much money do you need to risk to make six figures a year? And again, it depends what broker you go to. Some people are at retail houses and you can trade anywhere as long as you have day trade charts with pre-market and post-market data, a one minute chart, and a level two. If you have a small amount of money, then you can go to a proprietary day trading firm. They will sometimes give you leverage 10 to 1 or 20 to 1, okay? A hundred thousand dollars in buying power though is enough to really make this kind of money. Because most of the stocks I trade, and this is the day trades, are between five dollars about 65 bucks. Like I told you, I'm not taking day trading positions in Google or Amazon. So if you go to a prop place, you've got to be flat every day by four o'clock. I am going to have a proprietary firm talk and have a webinar. It's going to be Thursday of this week at 11 o'clock. If you're interested in that, email me. You can come for free and listen to that lecture. If you don't know what a proprietary day trading firm is like, you'll learn about it on Thursday. Now, what are some realistic goals for you? Again, we talked about this. If your goal is to make $2,500 a week, then you chunk it out.  Some days though, you won't have any trades. Some days you will take a loss. Like I said, it's an 80% win ratio system. And some days you will make more than you risk. Just like in the Lulu. If you had risked 500 bucks in the Lulu, this was the first one here, you would have made two and a half times the amount on that day and your goal for the day was only 500. Do you see? So on average, that's how you're looking at it and that's how you put together a week, but you can't have a lot of losses. That's why I don't take a lot of trades either. If you take trade after trade after trade after trade, if I get up in the morning and I take a train and it's a loser, the best thing for you to do is to stop knowing that the next day you'll get a good one. You can take a good one the next day. Every once in a while, I will do a later trade if I see a good gap or an afternoon set up or maybe an option, but not always. The discipline that you need to have is knowing that you will get a good one the next day and having the confidence in the system itself to give you good trades. Last week, I did call three options on the one day on the Wednesday. They all worked and there was a day trade that day and there was a day trade the next day. So you just never know. I can't predict when the stops are going to get. I can just predict when they get where they're going to go. Any questions as I'm going along here? Ask me now. So I teach a class. My class is called the Golden Gap Course. It is a full two-day course on how to strategically find pick-and-play stocks that are professional bearish gaps. Retakes are free. The class is online. Why would you come from me and take the course? If you want to learn a strategy that offers stocks that move and have momentum and to learn how to trade gaps, which I'm very good at doing, and to learn a consistent and profitable strategy that you can use for day trading, swing trading, and option trading and how to pick which symbol, just one symbol a day, to do to trade, which really condenses your losses and helps you really bank the money because once you take a trading you're up, even if you're up, you should just stop. Also, you'll learn how to enter the stock and determine the targets, and you'll learn how to read charts and price action on advanced level because it's because of my ability to be read gaps that I can predict these things. But it's all in the price of the how the stock's moving. Like I could see the Googles going to that number. Like I could see the target was going to that number. Like I could see that Amazon was going to that number. So in my class you would learn the 26-point rating system in the Golden Gap Course, and it can be used to rate stocks to play intraday, which is what I like to do.  I mean, I really do. And I'm realizing more and more that I like to be out of the options fast too, even though sometimes they go further for a couple of days. It's less stress when you're in and you're up right of ways and you're out. And you can't lose money if you take off profit. So the 26-point rating system can be used to choose a stock to take as a swing or core trade. And one of the reasons why my class is so unique is because the system can be used in multiple ways. This is very unique. Most trading systems out there you can only use for this thing or that thing or this thing. You can use this on any time frame. That's very unique, short or long term. So if you can't be in the trading room every day, you can use it for swing trades or option trades. If you can be in there every morning, then you get the advantage of doing everything. How is it possible to be able to use one system for a multiple time frame because I'm looking at an institutional money? And that's what I'm telling you, lose lower. And people are going to buy that dip in there when it goes to a certain number and it's going to go right through it. So this is the reason why my class is valuable because you can use it in multiple trades on a Google in the brain. Anyways, I use a 26-point checklist. That's what I do and that's how I find the trades. So quality is so important in trading. If you want to be profitable, then quality matters. It matters because if you want to trade with size, you will need to have precise entries and quality picks. Master traders recharge for the precision that is required for large profits. And once you start learning how to recharge in a more detailed manner, you will immediately see a difference in your results. Having detail in your trading gives you an edge. And you've got to mirror the professionals, which all that means is really you're getting the trades, the same trades that they're doing. When you see a professional gap, you want to take it. And that's why the idea of going long lulu is so ridiculous, okay? So if you come and take my class, you will learn technical analysis, you will learn how to read the institutional money. And this is how you can make money trading. And I honestly don't believe there's any other way to do it because using all those different trend lines and different indicators, you're back and forth, back and forth, and you don't have the consistency and your account shows it and reflects in it. And you've got to be able to pay yourself. And the more you have green days, the more confidence you get, which is one of the reasons I'm a very confident trader. Any questions as we're going along here? Anyways, very lastly here, my system is really based on common sense. The money you can make trading in the market is substantial. Many people fail to make money or don't make enough money trading because they simply don't use common sense, like the chart I showed you earlier with the indicators. If every indicator worked, we would all buy them and there's no such thing. Simply using common sense price analysis to predict buying and selling action by using gas will get you the money you desire. The idea of having a system that is advanced is that you're looking for many things in the gap when you're analyzing it, rating it. But the rationale behind the system is quite simple, which is that you're looking for institutional buying or selling and who's controlling the stock. So when you learn the system, you're looking at it in an advanced way that is complex because you're looking at 26 things, which is a lot, but the rationale behind it and why it works is actually very simple and based on common sense. So the whole point of today's lecture is that if you want to become a professional, whether you're doing this for a living or whether you're doing it part time, you still have to take it seriously. And I only say to people, how committed are you? How motivated are you? How valid do you want it? And you know, there's plenty of time left in the year. I mean, just eight more months left in the year. Earning season starts in two weeks. You know, all these stocks I talked about today, Google, which I talked about the whole webinar and Amazon, all these things are going to have earnings in the month of April. Okay. So there's going to be a lot of money to be made and you just have to kind of open up your mind. And I hope the things that I said earlier made sense. If you're wrestling in your brain with this concept of, you know, how can I possibly make a hundred grand a year? It's a dot in the amount of money that actually exists in the market. So how I do it is my rating system. It's a complete system to help you make money trading. So the classes this weekend, Saturday and Sunday, April 8th and 9th from 9 to 5 Eastern time, cost of the class is $49.99. Email me at Melissa at thestockswish.com if you would like to sign up. The sign up sheets are not on the website. You have to email me for that. And it's really about having the right knowledge. And that's how you make the money. I'm offering the wealth manifestation class free for anyone that signs up for the course this weekend, that class is next week on Thursday the 13th, right before the Easter holiday. Time of the class is from 12 to three Eastern time cost is $3.99. If you're interested in this, email me at Melissa at thestockswish.com and you will get this class for free. So the deadline to sign up is Friday. For those of you that are interested in the options letter, you just get the trades email to you. I only have an annual subscription for this. No prerequisites. There's a prerequisite to be in the day trading room, which is you have to take the gap class. If you want to sign up for the letter, you can just sign up for it. It's $29.99 per year. You can email me, but you're not going to learn the system. So the best thing is for you to learn the system and do the options letter as well and be in the room to get all the opportunity there. It's just whether or not you have the time to do the day trading or to do the options trading. Yeah, Kathy actually, thank you. Kathy actually did the wealth manifestation class. I think Kathy and Karen did it. Does anyone have any questions? We went over here in time. I will do a video on the Google tonight right afterwards for everybody, because I talked about Google on every chart today.  So it's kind of hard to know it wasn't Google sessions from anyone. Tim now is Google on the brain. I know it still looks good. It's going to need the market to continue though tomorrow. I didn't see how the market closed. I'll do a market video too. Listen, if you'd like a trial of the room, email me at melissathestalkswish.com. You can use your chart. If you have a day trading charts, yes, you can use charts. You can use your own charts. You can use whatever charts you want as long as they have data that's current, post and pre-market data, date charts, and you need a one minute chart. Okay, don't. If you have any more questions, email me. Thanks everyone. Thanks all my Trader Central.


All right, let's start, so building an open source hardware manufacturing world it's quite a catchy title I think. We are building this project, we've been building this project for about five years and we are nowhere near finishing at all. So let's go through where we're at and I'll welcome any questions at the end. So first of all who am I? I'm a game developer for PC, that's what I do most of the time. I've also worked in fab labs in France which is where I'm from and now I'm also building makernet.org with a team and I've been active in open source hardware since I read the culture books because this seems to me like the most plausible and desirable future we could want for humanity. And as I am a game developer you will see very nice sci-fi pictures throughout the whole presentation but we are very serious about what we are building and it's just to give a sense of bigger picture which I think building anything without having a bigger picture in mind is not really worth I mean as a research why not but I also believe that the best way to predict the future is to build it and so the first picture on the right is my future house and garden open source of course which I will invite all of you to join when it's built. Okay so I'm not alone in building this there is Andrew Lamp from Field Ready and Pierre-Alexis Yavaldini which is who's my co-founder at makernet.org as well as a lot of other people who help us and also challenge us. A quick thanks to the Shettleworth Foundation, Standards Repo, the CERN Open Open Hardware License, Field Ready of course and Dassault Systems for their funding, hosting, advising, connecting, sharing and all other helps they provide us. So the summary of this presentation we are building a marketplace for open source hardware manufacturing this is makernet.org we are also developing a lot of open standards some of them are called Open Know How which you can find on the website openknowhow.org and Open Nowhere which doesn't have a website yet and I will also invite you to join us by uploading your designs to sell them. So let's start with explaining a bit what makernet.org is we want to build an open source hardware manufacturing world and for that we think that the designers as well as the manufacturers should be paid and we don't see open source hardware as not being equal to getting paid too many too many conditions in this sentence. So well we think we think people should get paid for their work and being open source is not getting in the way of that. So the website is a big assembly of a lot of things to gather three type of people in there. One we have designers who will build the blueprints the designs the files and update them and this is hosted on a github repository we have manufacturers who will receive manufacturing orders and we have clients like people who browse amazon or lazada or whatever marketplace you can find online. To make all of this work we want to have as much to include as much as we can so we have we are using Dasol systems spatial library which allows to convert between all 3d file formats and 2d as well so the library is not free but it's we make it free of use on the website so anybody can use it and there's no no payment required and we think this is a very important piece of making everything work is that there's an interchangeability between all the file formats that people are used to we don't want to impose things on people we want to include as much as we can and another the last part is the storefront like amazon so this is where we're barely getting into that so we have a very rough one it works but i think this is a yet another huge thing to to manage and one one quick thing before before i continue so we're we're doing that maker net is a company so for profit open open know how and open nowhere are non-profit things and we do not think that we have the right answers what what we are trying to do is to find them so if we are wrong of or if another company is doing a better job than us we'll be very happy because our end goal once again is to build a world not to make just a single website better than the rest although if we achieve our our goals it should be better should provide more value and a more resilient way of manufacturing and having a new world we'll go into the into the details of what benefits this open source hardware manufacturing world brings so then the open standards that we need to to make this marketplace work and we are also perfectly fine with other marketplaces using these standards and some are actually we are collaborating for example with wiki factory to build these standards so we want to have a standard for step by step industry standard yeah standard open hardware recipes to be able to in the future make them machine readable as well as human readable we want to have a standard for contracts and we'll see later an example of why it's not as easy as it seems because we want to we want people not to worry about contracts while having full transparency and also the power let's say you place an order for a thousand pieces and the workload is divided among many manufacturers we want the contract to handle that not the person who orders and of course the last but very very important and we are barely scratching the surface is quality control all of this does not make any sense if what is manufactured does not is not reliable and is not up to the expectations of the buyer by the way the three parties I mentioned manufacturer designer and buyers they could be any two or three at the same time there is no separation it's just a separation in where you're at on the website then we have open databases this is open no open nowhere we want to have maps of machines and tools around the world and and this this needs to be open because it is it is something that will never be complete and needs to be updated all the time and I don't see why we should not make it available to everybody and everybody can take part of it in it we also need to have skills and people this would come at us at the second time it's not vital to make things work but it will be vital because the more we computerize the more we can do later and I'm sure once this database is start growing we'll see a lot of unexpected uses of them and as of course we need a materials database because the manufacturing world we are suggesting is also very good at doing local manufacturing and let's say you want you had to have your designer chair from Italy but you live in Japan and you'd rather have local wood used we need to make sure that the woods match in terms of physical properties otherwise you wouldn't really get the same quality of a chair and I'm talking about less visual qualities and more about just making sure the product works as intended of course the example of a chair is a very straightforward one but the same the same can be thought of for electronics or more intricate and complex pieces that are assembled some parts could be replaced and we need to know where how so now I can pretty much think that a lot of a lot of you might think it is an ambitious project yes it is and the thing that is nice is that it's already working it's at a tiny tiny tiny scale but we have all the required elements of the chain to make it work we are currently having a little trouble with our payment providers but we are just switching we were using PayPal and we have to change so let's go through the benefits for the designers I think from speaking with a lot of designers they're first they're worried about not getting paid because they associate open source hardware with many fallacies they think it's for learning they think it's you do that as a hobby and you deliver it to the community or you don't finish a project so you just put it on open and you see what happens and never do they think that they can be paid or even make more money by going open meaning releasing their their blueprints to everyone under any license but we recommend a CERN open hardware license and they would benefit from improved design designs by global collaboration exactly like what we see in the software world I think the only reason why open hardware hasn't picked up is the ease of use and the speed of iteration of modifying and manufacturing hardware in software you can just download things run it I mean it's a matter of seconds hardware is a little bit slower so it's and there are many more tools less standards because it involves more steps you need to get out of the computer involve many skill sets but we are clearly seeing a trend towards simplification I can just just in on top of my mind I'm thinking of the SketchUp software I mean it's so easy that anybody can use it and I think it's important to think of speed and ease of use so more people can take part then we have manufacturers the thing is that manufacturers in the way we are thinking things would be like Uber drivers they would get jobs sent to them and they can decide to take them or not and this this also scales to more things like we've been talking with an airplane company in Located in France I cannot disclose which one it is but they have recently bought a lot of small manufacturers around the world and what they intend to do is to unify these small manufacturers around the world as a big manufacturer controlled online so this is another thing that could could be considered a benefit it's quite far away I think to be something real but it's to keep an eye on as I think the future will be much more distributed and we'll see less like huge chains who repeat the same motion or it's not it's not like a hundred percent it's we'll see a transition and it will be like a gradient more smaller manufacturers in addition to to the ones that are quite big and mass produced then the benefits for customers I think this is the most obvious one this is what I what I got from reading the culture books we have we want to have locally built on demand customized repairable products because if if you think of it why not have the products that you exactly want instead of what the market offers you we're not there yet of course these are all future wishes the customized part can be can be done but yeah so it's a lot of it's a lot of tiny pieces that change completely the way we think of it and I think once we have most of it in place we'll find it hard to go back to having standardized products and one of the things that is very important is full transparent manufacturing information so on the on the right this is a this is a just a label that we would make per product generated automatically because we have all the information from the open standards and the open databases we can exactly like nutrition facts you know the us nutrition fact sticker I think it's very important to display the same on hardware this way you know where the money goes you know what materials it's made of and you have ideally this qr code who would link you to through all the informations of the build when it was built who built what following what version of the plan so if you want to repair just a part of a machine you know which version it was you know you have access to the file as it's a git repository so you have the full history you have the license you have everything so this this is just a dummy product it doesn't doesn't make any sense but we would also have this cute picture I think it's important to to make it look interesting and to appeal to people to look at this information so why are we building this the main reason is to promote knowledge sharing we think that knowledge sharing in hardware is is is not sufficient compared to what we can see in software I've mentioned why hardware is slower but I think we can see a trend in more and more sharing of hardware and it's important to develop better hardware because software relies on hardware we want to make collaboration easy for hardware all the most of the designers we talk to they have no standards they still name their files version one final final one final two they use google drives or dropbox which is okay it works it's not bad and we also will you can also import google drive into makernet in in a few clicks because we want to make it easy for people we don't want to impose new ways of working that are that don't don't make sense so collaboration is very important we want to make it easy to manufacture and sell products the story of my co-founders that he was designing an adaptation to a 3d printer and he wanted to to sell this improvement he made but then he had to go through the hassle of incorporating understanding tax laws how to sell in different countries how to contact manufacturers so as a beginner in the in the hardware world you get a lot more barriers to entry than again software and again we don't see why in the future it shouldn't be as easy they will it will never it will never be the same software and hardware will never be the same but hardware could learn a lot from from where software has been I think it's a great inspiration transparency in the production chain as I said I think this is important as well databases for people skills machines tools and materials having you know if you start if you start to learn about anything I think you have to measure it you have at some point to start measuring it and you cannot measure it if you don't have the right units and all these databases are and standards are units of measurement and once we can measure things we can improve things otherwise you're just aiming in the dark and hoping that you get better and also customize products so for the end users I'm again talking talking using a furniture example but you can think of much more advanced but did you ever like you have a new place you want a table that is exactly this length and you go to whatever store and it's not exact so then you have a small gap or it's slightly too big or you have to adjust and there's not there's no real reason why the future could not provide you with exactly what you need again furniture a simple example but you can apply that to many more things and yes because we think it's how manufacturing should be I think where manufacturing is at right now is just a side effect of where society has been and understanding like this global connecting everything then I'm not going into into into globalization and stuff like that but we see trends in in the US in Europe to go back to local smaller things let's let's talk us let's take a small example that is related to the virus in France there are there are only two factories who are able to produce masks and they ran out in the first weeks they sent them all to China so France is relying on other countries to get masks although they have manufacturers in France but not enough so I think this is a clear example where the governments and the and the and the states are seeing that there is a lot of weakness and a lot of the vulnerability in having everything manufactured in one place and also we see a loss a clear loss of knowledge in I mean I'm talking for the countries that I know so US and Europe but I think it's the same everywhere and they also realized that the economy of the country still relies heavily on manufacturer for the US I think it's been going down and I think a lot of I forgot the name of an institute who later research and they and they were showing that decreasing manufacturer locally weakens the whole economy because of relying on other countries so at some point you become at the mercy of what happens somewhere else and you just respond instead of initiate then let's go through a simple example very simple so there we let's take a designer who uploads yeah question or you're the designer okay we have a designer there so he uploads a design I'm going with furniture again five minutes five minutes okay he sets he builds a he builds the blueprints for a new chair he uploads the chair online under the CERN license and he sets a designer fee so for every chair that will be sold he will get paid 100 US dollars for example then this design must be built at least once to validate it this is this is where we're at we're welcoming any suggestions or improvement of course but so the design has to be built at least once so we know it's something that can be built maybe in the future there will be ways to simulate and skip this step then this this build the designer can keep it it's not kept as a stock somewhere we just now are able we are now able to list the product on the marketplace so clients will just browse the marketplace see the chair and they can order let's say they order 20 of these chairs for their huge house and let's say the designer is in Singapore and the client is in Canada so we will match the order with a manufacturer whose whose skills match what is required and the local manufacturer or manufacturers receives the order and builds them once the quality is approved the manufacturers send the product to the client and the the money that the client put online to buy these is distributed to the designer and the manufacturer of course actually the manufacturer get paid gets paid before building so he's able to get the materials here's a here's a use case that we that we did in Iraq with field ready to have 3d printed animals in soap to incentivize children to wash their hands and this is one of the examples of one too many contracts here the challenge is having a contract between one buyer which is field ready and many small manufacturers who just have a 3d printer and know how to make soap which is very basic you just melt soap that already exists and there's no there's no easy solution to have this one too many contracts so this is one of the things where we we work to make it easy again the summary exactly the same slide as earlier but as a recap we have a marketplace for open source hardware manufacturing makernet.org we have open standards open know how.org and open nowhere which will be built shortly and I want to invite you to join us by uploading your designs and sell them or take part in developing the standards that's all thank you that is fascinating I have at least half a dozen of my own questions obviously as more of our yield to everybody else's first but before I do that I would point out that unfortunately we started a bit late and we've actually now run into the break and so if people want to take a tea break at this moment it's there's 15 minutes left so we're gonna sort of hanging out for that so I think I'll invite questions but those who want to go for the break please go now Harish yeah we are so what works oh sorry please please repeat the question yeah so how many people have gone through the process and what type of products so we two people have been through the process one is us of course to test what we built and the other is field ready the type of products are very simple we only do 3d printing laser cutting and cnc like the basics that you can find in fab labs because we rely on the the most distributed manufacturers we can find our fab labs and they usually have these three pieces of equipment so we already have a network of a thousand plus small manufacturers around the world this is our test case and if we make it work with that I think we can start thinking bigger so it's usually like one step processes and we haven't gone into electronics or computer stuff yet you mentioned the CERN open hardware license in fact that's three licenses do you mean any of the three or do you mean one in particular CERN OHL 2.1 I think now yeah or 2.0 that's three licenses okay they are cold hang on sorry I've gone and lost the page basically it's degrees of permissivity strongly reciprocal with reciprocal and permissive CERN OHLS CERN OHLW and CERN OHLP so on the website exactly like on github you can choose which license when you start a repository and you can change so the guy here is Andrew Katz he's the he's the person who who wrote these licenses and we've been talking with him to to make sure we're not experts in licensing so we wanted to have his opinion if things match if there's a problem with us being a company or how does it work if the blueprints get out and everything seems to be in order we are perfectly okay with having people getting all the design all the designs out of maker nets as long as they follow the the licensing which is just keep the trail of who and what improvements have been made and what you've talked about designer fees yes in an open context isn't that somewhat voluntary sorry isn't that somewhat voluntary what's what what prevents another designer simply picking it up and making a derived work available yes there's no easy answer for that I think that's that's the risks of of doing open things so we would not in the future we would not I don't know honestly I don't know we would try to avoid files that are that are copies compute in terms of computation we can easily check that other than that yes it's a challenge and we I think we rely on human honesty and intelligence which might be a flow in the design I think I think just try it and see what works and what doesn't because branding I think becomes part of it you can certainly readily require that licensees get licenses to the design but not to the use of any branding and this is more or less what goes on with high-end textile manufacturer where the knockoffs are not just similar they're made in the same factories by the same people using the same materials the same tools off shift yep so there really isn't a difference but then you then get into a branding thing so it's not really limited to open open source hardware it's actually already the case yes sort of at least high-end branded stuff any other questions in the room cool I might want to ask one more of my long list you mentioned the culture books at the beginning of the talk as part of the rationale but don't haven't identified what they are sorry you give us more information about what those books are these talks the titles authors so my the authors iron m banks he's Scottish I think he's dead now sadly and there were no adaptation of his books on TV or cinema but I think it should arrive quite soon as they are great he wrote at least a dozen of the culture books I haven't read them all and it's a it's a super advanced future where humans I mean they're it's not clear if they come from earth or not but they they do yeah they're human but yep so it's super advanced and you have ai's everywhere humans are enhanced to a point where they can basically do whatever they like and there's no risk and no death death threat and they can have anything they want at any time provided by these super ai's and some of them are ships spaceships and they're very funny you know in a quite in a british way of funny cool I just wanted to identify them and so yeah we keep it calls it culture series but yeah yes you're right I could have provided more information all right well let's wrap


Going on everyone Sam here with Layton sports car from a three box MLB 23 tops gilded collection bowman sterling number 11 Random team style look again at your random results as always you can find those on the website under the results tab As well as link. That's in chat. So good luck. Everybody. Just double-check make sure we got the right boxes to sterlings one gilded Yes, we do Very nice. All right, let's do it Chet's a center. Yes, huh? I got you Tyler. No problem. Absolutely Yeah, we are a great great background noise channel. Yeah, we are a great background noise channel But then but then you hear something you just have to look and be like what are they doing? Yeah, exactly Exactly. All right, come on Devon Vasil. Let's go over 17 and a half today We have Wendy on blocks or something too. I don't know base auto Gabriel Gonzalez nice one there for the Mariners and Nelson, Alaska's I have a couple bets in the In the Nuggets game Of course Come on Vasil. Come on Gunner Henderson rookie Brady house Kyle Stowers to 75 nice one there for the Orioles on the Magenta rookie it waved 125 Mason hour for the race power hour. So you're best not looking too good right now No, after that would have been two points right there Is that how that works Is that how that works? Well, I have a prop on it. I'm over 17 and a half or something That would have been two of the 17 and a half. Well, yeah, I know how it works 150 Spencer steer.   I still need it. That is a James Outman to a hundred For the Dodgers nice one there and then a Edison Paulino nice one for the Red Sox on base auto as well The old hall and is equal to what's your opinion on so hand. I like him. I like him a lot He's really starting for the spurs, which is good. Yeah, I have a guy starting the last game I watched though the spurs like you did well. Yeah, they've got a lot of talent there They've got a lot of like young good pieces Obviously one be the main one But they mean it gave a lot of money to this they give up the cell a lot of money They give Kelvin Johnson a lot of money, and then they've got a couple of young guys. They're still too This what's the cells? What's he good at a shooter? Jace young that is Alec Berluson rookie auto for the Cardinals on the sterling silver congrats. They're St. Louis deal halls. He goes over our Garrett Mitchell So on school so it's kind of funny because he dyes his hair and like crazy colors all the time. Yeah, and Obviously Dennis Rodman used to do that right. We got a redemption. I'll finish the story after this redemption Mike you're a marrow and drew Jones All right, we've got Prospect autograph rose gold to 15 Justin Crawford going to Philly's congrats Timothy F and the Philly's very nice man That's awesome. Justin Crawford on the rose gold to 15. I Would say probably if we did it with the caro it's about the same I mean it could be way off. I don't know Yeah Never mind to 99 Hunter Brown On the white speckle. We got a Jackson Merrill to 150 nice one there for the Padres on the prospect auto Josh young base and Oscar cause but anyway, so Dennis Rodman's nickname was the worm right and they're calling so on the inch worm To 199 Samuel Munoz for the Dodgers congrats at Boyers and then Jackson Merrill base auto Again going to the Padres. There you go. San Diego max Maya and Jordan Diaz Volpe burleson Sam Zavala base auto for the Padres congrats on that Padres Do you see one piece Halloween costume? Oh? Slenderman that's gotta be his nickname dude. I laid a lot crews and Nelson Radis like that. Just don't like Slenderman That's such a dope nickname Make it happen killed it. That's what I'm gonna do man Act tweet slash ex message him. Yeah, I got your new nickname All right Zach Neto to 199 on the gold etch rookie nice one there That's yeah, these are clean. These are clean. That's yeah, that's pretty sweet All the guys who got their first like tops rookie, so it's like Neto Mervis Yuri Perez Grayson Rodriguez. There's a couple all have the one to 199 which is cool It's part of them or no. No he cuz he had his time. It was all the guys who didn't have a tops chrome rookie. Oh Okay, it's a 99 Christopher Morrell For the Cubs nice one there on the rookie We've got nice one here is satchel page to 99 for the St. Louis Brown's that'll revert to the Orioles That's Baltimore and then Tyler Tyler P to 60 Paul Gulchman Congrats on that one, buddy. Nice Goldie going to yeah The Cognoles and nice for the Red Sox eight of ten big poppy David Ortiz Congrats Boston Rob T Good stuff there, buddy Good stuff there on the onyx. That is awesome. I would just like this one. All right quick recap here everybody We had Sam Zavala Jackson Merrill Edison Paulino Glider Figuero Gabriel Gonzalez Jackson Merrill to 150 Elijah Green to 125 to 125 Mason hour to 100 Alec Burleson rose gold to 15 Justin Crawford We had Paul Gulchman to 60 really nice one there on the vet auto for the Cardinals Powder blue jerseys and then the big poppy to 10 on the onyx. That'll do it for the break everybody Thanks again for the fill up next 10 box Tuesday


From New York City, it's theCUBE, covering New Relic Future Stack 2019, brought to you by New Relic. Hi, I'm Stu Miniman and we're here at New Relic's Future Stack 2019 in the middle of Manhattan, right next door to Grand Central Station at the Grand Hyatt. Happy to welcome to the program, first-time guest, Nadia Duke Boone, who's the Vice President and General Manager of Application Monitoring here at New Relic. Thanks so much for joining us. You're welcome, it's great to be here. All right, so a lot of announcements this morning. Of course, observability, front and center, Lou talking about how that fits into this space. You have handled really kind of the APM product inside New Relic, so I'm hoping you can help us understand kind of the journey that New Relic's going on and I've heard in the marketplace there's AI ops and there's observability and all of these things and APM was the old world for the monoliths, so how does New Relic help live across all of these environments that customers are living in today and undergoing so much change and new things? So as Lou talked about this morning, we think to be an observability platform like New Relic One, you've got to be open, connected and programmable. But as we think about that within the application monitoring space, we really think it comes down to the issue of what are the questions that you need to ask and that really depends on what stacks you need to see and what are the questions that you need to ask and so I think it's a false dichotomy to try to say you need to pick a side and observability or monitoring. I think it's really a yes hand. You don't have to pick a side and I think with New Relic what we're able to do, whether you're using our agents and all the rich data they give you, whether you're using our open platform, the important thing is we're able to bring it all together in one place so you can get all your questions answered. Yeah, so I spent lots of time in my career trying to help break down silos. In the traditional infrastructure world, the networking and storage and compute teams, virtualization help pull some things together. Software tends to be a unifying factor but when I look at the people that own application and the developers, I mean you've got monoliths, you've got this containerization and microservices coming, you've got the new serverless environments here, you've got a lot of fragmentation inside the customers. How does that impact your business today and are we going to see those pulled together over time? Yeah, what we hear from customers is that they're going to be running heterogeneous environments for a long time. If you're over a year old company, you're not running a single tech stack. You've made choices for your business needs and you need to be able to see across your whole estate and where New Relic's adding value for our customers is by bringing this all together and connecting it so you can actually see let's say from a Lambda function in our Lambda agents all the way back through to your Java monolith and down to the server, whether it's running containers or on bare metal, you can see all the way down and then you can connect that out to your front end as well and I think it's that ability to see across is where we're playing. All right, can you bring us inside your customers? What are some of the challenges they're facing and how do you help them along those transformations that they're undergoing? Because as you've said, they're going to have this heterogeneous environment for quite a long time. Well, I think one of the things they're saying is that they're trying to move faster and one of the ways they're moving faster is by changing the process by which they build software. So we've been talking about DevOps for years, we've been talking about Agile for much longer than years but those changes bring about new needs also for observability because now you've got a team that maybe wants to see very deeply with the things that they're on call for but software refuses to break neatly at team boundaries. It just won't, it's going to break wherever it wants to break. So you need to be able to quickly assess across your whole enterprise what's going on and help those teams talk to you. So that's definitely a problem that we're solving for our customers now and if I were to pick one more that I'm hearing, well I'll pick one from this morning and that's cost management, right? As people move to the cloud, it's so powerful and easy to be able to start up new services in the cloud but then do you know what you have, do you know what it costs, do you know how to optimize? We announced 12 new applications this morning, one of them is addressing exactly that point. Yeah, what are some of the challenges that customers have really monitoring across these different environments that I think cost it's, well the promise of cloud is to help me understand and control my cost quite a bit but I understand my data center costs in general much more than I do what I have in the cloud. So you mean trying to understand what in their software? So I guess just if they have these different environments they need to span from a monitoring standpoint, what are some of the challenges that customers have and the differences and how does New Relic pull those together for them? Well I think some of it is bringing their teams together. If you've got folks that have a dev accent and an ops accent they may have different points of view about monitoring, right? And so a dev team might be saying let's go all in on this method or this tool and an ops team might be saying something else and then as you introduce new technologies and maybe now people don't want to always run an agent they want to have complete visibility over their software and so with New Relic we're giving them those choices, we're giving them like hey you can run an agent, you can, if you've already got stuff with Zipkin because maybe internally you've got like a great Zipkin champion, like great we're going to be there with you on that too. So we want to be able to help these teams come together rather than forcing them to sort of live in silos. All right, Lou put a real emphasis talking about platform and he said platform with a capital P, help us understand a little bit about that and the impact that's going to have on it for your customers. Yeah absolutely, I think you know anyone can say hey I've got more than one product therefore I have a platform. I think when we talk about a platform you know we think of software engineers we're like what do I need a platform something I can build on, right? And so I think a capital P platform is the ability to build apps to be able to extend it, to be able to add data because you're open and then the power that we bring you know to put on my, I gotta put in my plug is by connecting it all together. But I think the power of the platform has been really showing off in the work that we've been doing with our customers to build these new applications. All right, you mentioned open which was one of the three features of the platform itself. There's open and with APIs and then there's open source. Can you help us tease through a little bit because there's the openness and then there's some open source pieces. How do those go together and I guess more importantly what does it mean for the customers? Thanks for asking because I do think those words kind of got sometimes get tumbled up. So let's first let's let me like just kind of tease it apart a little bit. So first part of open and you sort of already mentioned this is like we're open to all data. So metrics, events, logs, traces, you can send us that data. That's the first thing. You don't have to be running a New Relic agent to use New Relic. The second part though is that we are actually building and contributing to the open source community, software development kits and exporters so that our customer to make it easy for our customers. And so we've we've shipped, we're shipping open census and drop wizard and micrometer and exporters and Prometheus scrapers so that these are open source tools that our customers can get, can extend if they need to to get that data in. So we're making it easy to get the open data in by providing these open source tools and we're in there with our, with the communities contributing to the communities as well. And then finally, you know, the last one is with our new programmable platform, we're also all in on open source on that. So we're contributing to open source for folks building on New Relic and our customers are telling us that they're excited to also be able to do that and to share and exchange with each other. There's value to the customer and I guess the question is your relationship with your customers are going to change though as you know, they're building applications not just, you know, more than just a tool. When I've heard from many of the customers that use New Relic is they talk about the partnership and it really has taken that partnership to a next level. What I say is New Relic is not coming out and saying, oh, we're an open source company and we're building our company around open source.  Yeah, I mean, our mission is to help customers build more perfect software. I mean, that's why we come to work is to help them do that. We think this is the right step to be able to do that. And the community around New Relic, as you said, is, you know, they're excited, they're dynamic. It's great to be here at Future Sack and hear them talking to each other and hear the buzz. I was at our customer advisory board meeting yesterday which is 11 execs from some of our biggest customers and they were talking about how excited they are to see how this is going to help them with their business because they can connect now their telemetry data to sort of higher order business problems and they're also excited to share. I think it's the right step for New Relic and for our customers. There's a lot of startups out there that attack pieces of what New Relic said, trying to deliver, you know, how does New Relic look at the landscape out there?  Yeah.   So folks are going to keep innovating and coming up with new ideas and my mission is to make sure that everyone writing software is instrumenting it and able to observe it. So I think I love that more and more folks are joining this conversation. I think it's a great time to be working on monitoring and observability. Okay, we started at the top talking a little bit about observability. What should customers be looking at? How should they be thinking about that? What feedback are you getting from, you know, some of your key customers in the space in general and how New Relics looking to address it? I think it comes down to a little bit we talked about earlier, visibility and answerability. If I were talking to an exec or if I were talking to an engineer who's looking at their tools, you know, whatever level you're at and saying, what do you need to monitor? How can you get that data in? And can you answer the questions? Do you have the tools, ability to query, to connect the data, you know, to see like, hey, here's an event that happened and how did my systems change? So I think a lot of it comes down to, you know, is it visible? Can I ask the questions? And then, you know, for every stack and no matter what job I'm doing. All right. When we look at this broad term which gets over you some, but, you know, digital transformation, the comment I've made is the long pole in the tent of going through that transformation really is the application portfolio. You know, I can modernize my platform, I can go to cloud, but, you know, changing my applications, especially the ones that run my business is really tough, you know, if I'm a company that's been around 15, 20 years, you know, I probably have applications that are as old as the company, if not longer, there. You know, just broadly, how are your customers doing? Are they being able to kind of, you know, move along that modernization journey of the application better today than they might have a couple of years ago? Just kind of macro level. I think so, I think, you know, between what the cloud vendors are doing and what we're doing, folks are getting both tools and they're also getting support. I think, you know, the community that, you know, software engineering community is really leaning into this moment and talking about how to do these types of transformations. I think there's a lot of just knowledge sharing going on. There's a lot of advice and consult that you can get. And then I think the tools are lending themselves to being able to do, you know, some people move to the cloud or the lift and shift. Some people use as an excuse to re-architect. A lot of folks pick and choose because not every app is worth the same. And some apps are, you know, are, for some, for a given app, it might be a more relevant time to change it and a more relevant time to let it stay put. And you can make those choices. And I think people are approaching it with a certain rational sense. Yeah, last question for you. New Relics, a leader in, according to the analyst firms that look at the APM market. New Relics doing a lot of the things that I hear from, you know, the startups getting lots of money thrown at them. So, you know, how should customers think of New Relic today? I think, you know, we're the best in leading APM product in the market for a reason and we can never rest on our laurels. I think customers should look at us as a trusted partner who's going to continue to grow and meet them wherever they are. Our customers are going to the cloud. We want to be there first and meet them there and welcome them in the door. And that comes back to how do we help customers do digital transformation. We're a big software company. We get it. Like we are going through the same, we go through all these same questions ourselves and we talk to our customers all the time. So I think for our customers, it's like we're the right platform and the right partner because we're never going to stop. Nadia, thank you so much for sharing the updates. Congratulations on the launch today and best of luck on Ford. Thanks a bunch. All right, lots more here at New Relic FutureStack 2019. I'm Stu Miniman. Thanks for watching theCUBE.