MIT Speech

MIT Speech 

Machine Learning NLP Transcript

(This Transcrip Has Not Been Edited By Humans. Some of it will not make sesne)

[00:00] It’s my pleasure to introduce steven ducks.

[00:07] There’s something about me and how they got started. Um, where I come from and how much money did I started a, what’s my journey? And uh, I’m also going to go over some on stock charts analysis and talk about my rooster in two month performance. I’m also, I’m going to review some strategies that is very popular in the recent market. So for the last part, we’re going to have some q and a if you guys have any questions, matte and gloss hope to through all those questions. Um, and we’re going to discuss some hard talks recently. I came to United States in 20, uh, 2010 when I started in college. Had the first year I started with a engineering major. The way, think about all the educational system that you, for the average person you’re going to college with a huge student debt, student loan. Then after several years you graduate, you started working now on a day to day job, a nine to five, and then you spend a couple of years to pay off your college debt and then suddenly you have a family, whatever house loans or car loans have the off.

[01:22] So before we can be definitely can that you probably are 40 years old, 30 years old. So what I want to do is I don’t want to do that and that always looking for some kind of opportunities to invest into somewhere as on the side. So I started trading in the market by having no idea what I’m trading. So most of the time trading etfs. So first if you are trading something Yo, you don’t know, you are taking a huge risk and most of the people in America, they are hearing something from other people saying that hey, this may be bitcoins really, really hard or maybe some new technologies already already hot. So we are following other people’s ideas and you don’t really understand how they work fundamentally. So when you’re going into and if you make money and you think you lucky, if you lose money, you’re blaming on somebody who gives you the idea. I know most of the people are investing in stocks that nine out of 10 people lose money and only that one person can make money. So the odds are really, really small. Can you think about how many rich people aren’t in the world? It’s probably the same percentage, maybe even lower. Then that started tracking,

[02:48] right?

[02:50] Checking my data and to see you welcome the method works. So I went to multiple people is that share strategies with me, of course, paid for them so that I’m trying out different strategies and I’ve had a very early stage. I don’t really understand that you have to focus on one specific strategies to grow your account out. I was kind of everywhere. I was focused on this, focus on that and turns out for the first, uh, I will say two months he didn’t have any, any world with our performance. So after I started tracking data after I’ve, I, after I started focusing on one specific strategies and they started noticing something that there’s going to be that one pattern that works, I’m 85 percent of the time and I’m going to start with that specific strategies. When I wore my account, he started in growing to six figures, seven figures I can start to branch out. So that is my plan. Then after two or three miles, I started with 27,000 for a four. I started in 2016 and that end to now, April 2018, I’ve turned $27,000 into two point. Oh, $8,000,000. So

[04:20] duh.

[04:24] Then that gives you a totally different mentality that anything is possible. And I, I’m the one who achieved the apple heartbroken to it and I do understand how hard work pays off for last part personally and percentage for now is I think is around, uh, I will say 80 to 85 percent of the time or 85 percent of the time. I think one of my highest winning percentage was in a summer. Uh, I traded 56 trades at 1:54, so to now we average it up. So my average is like 70, 72 73. If you want to check the accurate percentage you can check out on the property. I post all my trades on property and it’s all verified. So nothing fake going on there. I, this is the chart on the talk about, uh, this is the first pattern and focused on growth mat counts significantly.

[05:21] If you guys don’t know the stock, we’ve split. Basically the stock decreases, float and increases price, but astrobotic didn’t change. So I’m a march the style video about if you guys don’t necessarily have the chart, I’m going to expand this beginning. Uh, so volume is how many, how many shares being traded on the current day and on the side, if the stock went from, I would say starting from four to 12. So he went to Florida 12 in our current day. So when I for 300 percent, then the green is the stock itself. Of course going up and read Kendall means it starts going down. So my main strategies are shorting the stock, which I’m betting a site to go go down a fairly long. The stock basically you are buying and you wish to sell the higher price and you make money shorting the stock. You only sell it in the star.

[06:18] Get higher prior saying you want to buy back into lower price. So you make a ranch in between. So the first spin this out, let’s go back to the strategies. So because see the statute is 6 million shares in a march and went up to 12. And then after two weeks later, the stock went up again. You went from six to 12 again. So in South America we call the dead tub in here called the resistance and whatever downwards we caused the poor. So, uh, right now we’re going to focus on the resistance. So think about people’s mentalities. Most people in the South America doesn’t know anything that they want you, they want to follow. Other pupils are loads and we don’t know the fundamental, the stock. You’re blinding follow people that load. So we call that typically you’re going to southern and you lose money. So we’re called that back orders and now think about people’s psychology when people don’t or anything that they’re treating this specific stocks.

[07:35] And, and if, if I don’t know anything about the stock market, I feel like it’s going to 100, 200 percent on the day. What am I going to do? I’m going to, I’m going to buy it too. Maybe I’ll lose tomorrow is gonna go up and under the 300 percent so I can make 300 percent in a day. And now suddenly when you bought the stock then start signing, goes down. Now won’t. What are you going to do? And you don’t know. You don’t want to lose money. So we’re going to hold the style until the stock comes back again. Now, if you’re the next few weeks to start coming back up, then if you are holding stock at 12 doctors. So let’s say I’m at a bar, the stock at $10 or $12 and he went down, something went down. I have no time to sell and a wish to start to come back again so I can breathe.

[08:20] I can give him the money back. So when the sub two books theater, it goes up to 12. What’s your reaction? You buy the stock at 12, certainly one to sell it them because he wants to break even. Right? So that will cause a selling volume into the stack. Now also, you found that the short sellers thinking about, okay, I’m going to find some kind of prior to the short into I’m bending the site to go down. Now I know that the previous people that are already treated, uh, two weeks ago and they’re holding is that, I know they’re gonna sell. So I’m going to short into their stock first. I know they go into sales. I’m sure Sarah will. Outlook has to start to go down. And also. So there’s two factors that will cause the start to go down. And I’m going to pick a risk level because when you’re trading a stock, you delight your go out of control because, uh, for buying.

[09:20] So let’s say if you go, you bought a stock at $2 and the maximum you can lose your stuck to go to zero, then you lose 100 percent. Now you have shorted a stock at $2, goes to 10, 12, 20, I have to buy it back. Now that’s over 100 percent. I can lose a thousand percent on shorter settings. So when you are short and I started to go down and you have to be, you have to have a really specific risk level for you to focus on all the time. So if you lead that one last to go off, you can do, you can employ your entire account you day. And so now I’m focused on the risk level on the march, uh, the top is at $12. I can see the second candle or a second line’s a little bit lower than the first one because that’s where sure Sarah has come in and help the, picked that $12 at their risk.

[10:18] So you’ve had shorted at 1180 and risking $12 because if total $12 briggs had to Carmel Assets, therefore the odds of winning, since you know there’s one factors stands going to go down because the previous people are going to sell, it’s taking you were going to short sale. So as long as very risk level are really tight, you can make all the range of outcomes comes back down. So I’m risking maybe twenty cents to thirty cents per share and my reward will be $4 a year. So that’s very good at risk reward and for this trade, uh, because it’s, it’s really my bread and butter, a tempo of strategies and made over a, a, almost $80,000 on this trade. And you can see the average gain of shorts out NZ is 25 percent, uh, you for a short sale, if you make average around 25 to 30 percent, that’s a really, really good trade if you make over 50 to 70, that’s an excellent trade.

[11:28] So for the strategies you worked really well for me. And let’s go over next one. So the next one, this is my top three strategies that I always use because in America there’s always going to be a balance between growth and start coming down or driving. So let’s go into detail of that. And so you see the, the, the uh, the stock is going parabolic. Paragon, bottom means does not have consistent in green day’s almost every single day and never had any kind of pull back so he didn’t drop a single day. So for global companies it takes them years or 10 years, 20 years, 30 years for them to become a really big companies. And what happens when the site goes 10, one to 10, no day there’s going to be some kind of bubble unit because people are hyping it up and if you’re a hype in their lab, but there’s going to be a profit in it because there are bubbles when the bubble burst.

[12:34] And then the cycles down. Now most of the time the penny stock sector, the, when the bubble burst, they typically drop almost 70 percent or 80 percent. So you’re always looking for that huge area to make a profit from. But for sure settings that said, if you don’t have a specific of risk, if you don’t have a niche or a strategy, you can use shorter salary in the market because your desire money. So for this one, uh, same thing traded over 60 million volume on that day and age when people are buying it, thinking like this way. So when people bought it, the first day, we’ll tell people on the, on their friends or whatever, and their friends joining them then will increase the volume on that and that current day. Now when the stock goes higher and higher, we’ll do our known it and they don’t know something.

[13:37] The fundamental of the park, the start started going parabolic and people don’t understand is a huge bubble. So when the slug a shows first weakness, people don’t know to start there. If they’re nervous to start starting to settings. And if you’re sending starts short therapy, recognize, okay, the wickedness that started coming, the bubble’s going to burst. Now, since I had a decent amount of market experience as seeing this pattern is so many times I can easily, I can easily recognize when the weakness is going to be and when is what kind of prize is really hard to break. So a doe, more volume people treated. Think about like this way. So the more of a. So volume is how many people, how many shares are buying and selling for more shares are trading on the current day. More people are in the stocks. So there’s this a, a today trade around 1 million shares per day.

[14:43] Now tomorrow about 70 million shares a day means there’s the same every single, every single one of you have one share. So it was going to be 70 million people and this day people treated this either. Either they lost money if they’re holding the stocks or are short selling the stocks. So sure settings are not. Many people are sitting on the start shorting her shorting. Sure. Settings on stock market and 90 percent of the people are buying the stock because that’s the statistics of the stock market. So, you know, people are typically buying this huge range on this big volume day and the more shares being traded, the more backwards will be in it. So our, when the started shows significant weakness and you know, there’s so many people stuck in this area and once they started nervous they’re gonna sale because they cannot go any higher than this huge volume, huge volume day.

[15:46] Um, so when you start to recognize weakness started beginning, sure. Settings are rated this stark multiple times, I assure it around. I think they showed it on the desktop for a six point eight of covered at six. So shortly from 65 and five to four. So a sync on this to the civic trade. I made a 127,000, um, on this shorter into, on first read day. And I think the total profit will be adding the factors that sure, actually sex covered it covered that five. Sure. Shooting that five point three covered at four. So I think got the total profit on this.

[16:31] There’s ticker, I think I made over a two, $300,000 on this specific ticker in two or three days. Now, the other thing that this is a saturated in back in 2016, as you can say, the stat goes one to five in two days, same thing. There’s always a balance in the South America and all the companies doesn’t grow that fast because it’s not realistic. So whatever, because the independent started sectors or the other companies, they need money for further investment for their research. So while they, while they will do is to draw money in front of investors that they put him more shares into the supply. So if the supplier will say supplies 10 million and the company has gone to another 1 million to dilute the shares and once they do the shares because those shares worth nothing. So when it added the shares, then they can draw money out from, from the people who are invested in stocks.

[17:42] So for people it doesn’t know how to, um, how to trade these stocks, then they either they either lose money in a short sellers or dead was money in front of the company because they dealt with the stocks, uh, on this one. Same thing, a dumb or I will tell about consolidation later in this area, but the consolidation for this current day will be around $4, uh, that most of the Arab will be most shared, treated area. So you’ve heard first shot him from strands short in France, spiked because people would have to chase or they like to buy when the Sakhis Green, they like to buy when the stock is going parabolic and uh, and people are freaking now or a penny they lacked to panic under when people, when they’re stuck, it’s going red. But it’s the opposite. You know, South America for people to do.

[18:40] When you are buying with the stallions panic, you’re shorting, when the stock is going green or a parabolic, that’s, that’s why not the key. But you have to control that very well. So there’s a whole lot of details in that. I’m not gonna go very detailed on that. And on this took care of me there around. This is a really, uh, one, one of them are very biggest gains in 2016 may that around a $30,000 I think is in the current day. So at that time we can begin to see there’s a huge potential in this kind of sectors. I can make hundreds of thousand dollars in a short period of time. So as long as they can keep improving, keep improving strategies, I can do better.

[19:34] Now let’s talk about something that uh, uh, that strategy didn’t work. So same thing, the style boom from the four to 20 a in the matter of four or five days. Now it did come back, come back a little, but same thing. You traded that around 32 million shares on this day and somehow it shows some kind of weakness and then come back to 16 or 20. Uh, so when your strategy doesn’t work and when you treat it so many in the summer when I won 50 4:56 trades, and when that confidence getting to you, you start become overly confident, but when you’ve started becoming overly confident, then you’re, I started going into huge. You’re a huge amount of money on this one specific patterns. So you don’t want to ever do that because as a investor, as a if you have, if you invest into any kind of business, you don’t ever go all in into one business.

[20:42] You always have some kind of backup backup farms. If you case something blows up. And so. So what I, what I see often for people that some will, Med students mastered his technique and they went in with other money and the stage it doesn’t work. They take a huge loss and that loss will be your entire account. So if you lose 12 or 20 percent, 30 percent, then you lose 200,000, $300,000 in matter of one day. So risk management and invest a portion of your always tried to invest a portion of your bank account is very, very important to protect yourself from huge financial loss.

[21:34] Now for this fatter, and I lost $30,000. But just, just to clarify, I didn’t invest all their money into this. They invest 10 percent. Uh, this is when the storage doesn’t work. You have to cut your losses very, very quickly because now if you let, if you have a huge size, we have a huge amount of money in this stock. If you don’t cut your losses, same thing as a shorter and you can lose more than 100 percent, a thousand percent. So before this specific strategies focus, your risk management fall is always think about how much you’re going to lose before how much we can can, can, um, people are going to South America. They’re thinking I’m going to make a huge amount of money, uh, like others making $100,000, $200 dollars in a day. Uh, but for at the end of the game, you have to think about your risk reward. How much are risking to make, how much become, if you are risking $10 to make $1, that’s not even worth it. That’s not, that’s not an opportunity. It’s so, um, this is all about art. How to increase their art, then hugging. True. How do you increase your art is the key of the game.

[22:56] Now this is me, uh, from, uh, I say February 13th to April 13. That’s two months. I made over $500,000 into month. Uh, it’s all about. That’s all. I’m in this two miles. This is one of my best performance mouth. Well, I can say is, is incredible. And I’m finally. Now I can control my emotions at the everything as the best. Um, I controlled my really well and I think my, those two month loss, it will. I think we’ll only, it’s only a $40,000 and my game is $500,000. I’m so investing into stocks. Focus on your losses instead of you against.

[23:55] Now let’s talk about the trading strategy, um, or my daddy a scanning or my habits. Uh, so are you use truth for data skinny? Uh, and that’s if you guys may know, oh, it’s got das trader a. So typically I only look at the top person gainers. So if you go into some kind of platform you want to do that, it’s going to be a button that says top person Gary, hope you want to pull that allowed to see what’s the hot stocks and the current day. Um, and there’s going to be specific criteria if you have some kind of strategies that fits, you have to start treating specific volumes. If the studies treating two specific price range. So that’s the two. That’s the first thing I look at. And the third day I’m looking at it, does the start fits my strategy? If the state doesn’t fit my strategy, I automatically drop out or my list.

[24:52] Because when the stock doesn’t fit your strategies, you feel on a force trade that you don’t know, then it turns out it was money. You are going into the marketing, make money not to lose money. So you feel if you’re always trying to feel you need to trey, you need to force trade. Think of it like that way. And now if I, after I see the style fits and I have strategies, I’m going to check out that yearly or 40 years, the poor and what your resistance, if there’s any people who bother Sarg in two weeks ago. And so I’m in trouble. I can use them as a married, an advantage to short sale if the state has involved to year support, I can use men that I can use them for people to come in and start buying the stocks.

[25:40] So this is how I’ve given their strategies and study habits first, uh, at very beginning a build, a huge spreadsheets are huge database that tracks very specific strategies and to, to see what, what is the best performance and what kind of strategies, but it’s carpeted or um, for the recent month. And so again, I combined my strategies last whereas can be combined to make them better performances. So same thing does the strategy. I talk about the first red day and the Australia, Tyler, by the very beginning, the very first slide, it’s a, it’s called bounce shore. And the way I made $120,000, that’s called for a spare day. So if somehow if you can combine the strategies that criteria is fit for each other perfectly, you can increase your winning percentage.

[26:35] And the third is Henry in front of my mistakes. You’ve made mistakes. I focused on my mistakes. I can, uh, I to, I need to focus on that. What did I do wrong? And values the learning process of trading off, of course, as investing for any kind of business. If you fail, you’re standing where you’re standing up where you thought you were, you felt. And also you have to adapting to the current market environment sometimes. Well for the last couple of months, bitcoin is very, very hot. And back into the A or 2010, the uh, the technology stocks, everybody really hard. Now the trade war started going around and the Chinese stocks are going up too. So always focus. Focus on what kind of sectors hot and when you can recognize that momentum, if you can get into first person getting into it, then you can make a huge profit from a Friday. A winning percentage is. So sometimes bell combining strategies and especially those are all factors to increase your winning percentage. Always tracker winning percentage. Um, you will get first, we can go into your tray, we’ll give you a huge confidence boost, um, before we get into a trade. So it’s all about confidence and, but also it cannot be overconfident. When you feel you’re confident you’re going to much so try to control your, uh, investment or portioning of Iceland.

[28:12] So also have to understand the two side of people in the market. So people, some people are going along the socks, some people are shorting stocks. You always want to stand on the right side, on the most people side. So if most people are selling the style you want to draw on the short side, most people are buying the steiger. Andre on the land side and always follow where the big money is because sometimes when the trade doesn’t work you have to see what you do wrong and there’s going to be some kind of factors you understand. Uh, you just run about people. We’re a people that are going on and people are going to short.

[28:55] So let me now, let me give examples about this specific stocks. So same thing. A bunch for the stock went from zero point five, $3 and when the start comebacks against, as you can see this two point five, advocate the resistance and can you came back down and start going off this, going up over this two point five. At that point you have to cut your losses because as you can see, stuff went the way to four. So you very shortly in front of two point five, you’re losing 60 percent, 70 percent of your accounts so that you have to be really, really careful about. And once we started showing weakness and at that time if you, if you took a loss, same thing as other as the average people. The psychology. If you took a class in America, you will feel some kind of a niche.

[29:49] You would want to say, I’m frustrated about your losses and the next thing you want to do is I want to make my, I want to make my last is back, and we tried to have that kind of mindset. I started trading, trading, trading, trading, something that you don’t know they use, and the next day you can. The next day you come back to your account, you realize you lost 50 percent, your account so that you have to be really careful. Sometimes strategy doesn’t work. Cargo losses and focus on or take a day off, but then the next day come back fresh. Focus on, still focused on strategy because when the state doesn’t work in just your focus, it’s an arts problem. Now, if you’re a winning 70 percent of the time, there’s going to be that 30 percent been somehow. So don’t take her too much. Um, don’t, don’t take it too much personal. You just ask problem.

[30:52] So for a risk management, for every single trade, first you have to have a maximum. Last second, you have to manage our positions, so for let’s say maximum loss and for if your account is only $10,000, your maximum hours can now be over a thousand dollars on one trade because you felt because if you take a class or $5 dollars, she’s really hard to come back, have a 50, 50 percent, 50 percent of your account. So, so to a you have to manage the maximum loss. A manager of maximum hours manual position size, and your position size has to be equal to your maximum loss. Now let me give you an example. If you are a bank stock at $2, go risking one point eight, now you’re risking twenty cents, twenty cents breaks your losses. So you’re all of the stocks and if you’re a maximum and Mars is no sees a thousand dollars.

[31:55] So you’re using zero point zero point two times a thousand, a thousand divided by zero point two. Yeah, I think the think that’s right. So you’re a, you’re buying 20,000 shares, risking zero point two, you know you’re buying $10 years and risking zero point. Now, if I have to share the risk in zero point two, so I’m so that’s so your maximum loss has to be equal. You know, your positions as you can now be so different price range, you can have different position size and you can play the guessing, guessing games if you sizing too much into that, consolidate further, consolidating a startup basically looks like a straight line. So our 55th 50 slash 50 percent chance if the car breaks down, that stuff’s going to go that way you have just started, breaks out and started going to go that way. So now you are shorting the first shorting or buying the middle. You are risking 50 chances of going up, going up to the chances it’s going down. Now you’re that you don’t have a good odds of winning. So you get lucky short sale that you make a huge profit. What happens if you use the other 50 percent, 60 percent of your account? So always focus on the arts. Uh, before we go into trade thing about how much we can win, what’s your winning percentage and this specific strategies then? So managerial positions.

[33:31] Now the start histories, this is a really important, as I said before, I traded stocks that the stock has a habit, uh, if the siping the previous two, three years is spikes, are live and Spanx, I would say two or three days. Now the staff has the habit. You’re spending two or three days. So if the stocks based on the first day you can buy and you’re respecting the site you’ve spoken, the second day started has habit people look at the stock history to judge the stark habit. Then based on that habit, you can make your judgment. So a down lock on the sector that it is a typical, it’s a couple of sectors are really hot in the South America. And like bow techs right now has become a cup a couple of month ago. It’s bitcoin really light stocks and stock and go from two to 1:15, two days. Uh, and what does the staff behave? And so, uh, if the style of behaves always felt as on spikes, then it’s going to feel it all in some other specs every single time. Now, if the state decided to go multiday are, it’s like a motor neuron or as they’ll round first day, second day, third day, fourth day thing you want to expecting is to stock going multi days instead of going up one day and started going down.

[34:56] Now we’ll go over something you need to be avoided when you are trading first. You don’t want to be very, very emotional. A fam thing. If you take a loss and you’re feeling frustrated, took a day off and come back fresh tomorrow and don’t be overconfident in because she’d be overconfident in your estate and cubic, uh, and if you fail missing out basically where you actually are making money in and says, I want to join those opportunities every single day. I was on one on this. Every single opportunities. Uh, and if you have that kind of mentality is you start losing money, trust me, uh, then avoid shortly on the first green day. Uh, typically when women start his spoken on the first Green Day, uh, he has a really, really low ozzie drawbacks down so that just the statistics, um, try to avoid that as much as possible and when you’re shooting into a start under 2 million, float a two minute and he’s conservative but at low flow.

[35:51] So if you have a rudy low supply and high demand and people just going to keep bidding their prize and start stacking them. So it’s first, it’s really hard for you to get outlook that positions and also, uh, this back so fast, when you cut your losses, you’re already losing 20 to 30 percent of your account. So if you’re not really familiar about the sector is about the stocks and then don’t treat it. And also when you don’t have a risk level or don’t have a resistance, don’t treat it. Uh, and uh, for a stock earnings, lots of people would like to talk about like Tesla winning’s a tesla. Tesla has earnings, uh, acore earnings or a urine test. US or Amazon’s, whatever big company it is, you’re a guessing because they don’t know how’s the training going to be. So if you’re trying to purchase it before the earnings or shortly before Nas wildlands comes out opposite way, it’s a 50 slash 50 percent chance.

[36:53] So same thing. Avoid the guessing games. Now we are also adding into losers for people, for people are, uh, already got into your position so you’re losing money can see you’re a, you can see your honorary. Let’s start getting bigger and bigger then says, ah, I don’t believe there’s anything but studies to come back down, start adding into their positions. Then you’re present gets bigger and bigger and mixing and you realize your position is so big you can, it’s out of control and you cannot get out because when you, once you get out of those 60 percent of the whole entire account, now since you have that frustrating, you’re adverse to keep going, then you lose everything. So try to not add into your losers as those start fading percentage. Uh, same thing, uh, this is one of the, one of the data that I track all my spreadsheets.

[37:53] So start fielding percentage if, uh, if it’s one strategies, um, if there’s one strategies that I’m shorting into a spike and you fades off before the market closed. Now they said the first day you close around here and now the second, not the second day. Well, next, next time depending on what happens. Again, you foods are right here. So I’ve tracked so many data of this failing percentage, I can know the exactly the average feeding percentage it is. So the next time I use this average, every single time I use it as average to get out of my position. So I can’t take my games, I know where I’m going to take your profits from now every single time. And when she reaches this average, I take at least 30 percent of my positions. Now, if the stock is going to drive further, I’m gonna keep reading my profits.

[38:47] If it stuck, come back up again, then I’m still going to take my profits. So that tracking data will guide me how to take them, my profits. Now, how to recognize as a strength, pull back or weakness for the first green day. Same thing. Don’t show him the first window as I said, because the stock is really high or too low, chance to come back down. So when they pull back, when they show what we know about setting our opinion, whatever panic is a, you recognize is a pullback. It’s not a weakness because of the stock had, can potential go up again, um, because sometimes flow rotate, sometimes people, the new buyers comes in. So first in there, if it’s showing weakness, it’s a pull back. It’s not enough, it’s not a weakness. And First Red Day, now the stuck around random multi day, a written law two days and she was the first red day.

[39:41] And that’s a weakness. That’s another pullback. So recognize that, recognize crackly or bar pullbacks and weakness is really, really important because you know, when you’re going to take a position, either go long or go short the certain multiday and there’ll be extensions. Now momentous shift, uh, so this is where the short income comes from when they started runs. Multidose is very overextended and shooting the first red day and that’s what we call it, a movement shift at once. The, once the entire style he started shifting, momentum’s who will be down to Indian of at least couple of days. So we can write that down to Indian for a potential Tony’s 30 percent profits based thing and consolidations. Um, this is really tough. But uh, so when the stock is basing, I’m going to keep it simple. So when the stock is basing, its constantly going up a straight line and consolidation and it’s the same thing going up three lines, uh, taking a technical assets to unstuck bricks.

[40:45] This consolidation is corporate calbox down cover car. They’ll break down when the start, he having really good news, then the stock has a bullish factors, now we’re going to stock, but the stock is breaking down. That means people who believe this is a bullish factors there. They’re selling the stocks and short. So how does it, because people are recognized as a bullish factor but turns out, become a Berge factors. So what it will do is instant setting. So the setting will be harder than usual. Um, direction will be hard. That’s the part you can recognize if the factors on your favor. So if the bullish factor reverses then increase the bearish factor arts. Now, if the

[41:34] various factors reverses, it turns out to be a chapters. All right? Um, how it’s the whole sample. My speech. Thank you very much and I hope you will.

[41:50] Like she said, my name is Matthew Owens. I’m actually 28 years old. I’m not 16. I’m not 18. Okay. I am an old man. Sorry. Okay. So just went through the disclaimer. I’ve been through that. She goes through that. So I categorize myself as a quantitative trading. What does that mean? Basically, I don’t care about the company, I don’t care about anything to do except price and data. Okay. I’m a data analyst. That’s exactly what I do. That’s my job. And the reason is, is because ultimately I believe that price in of itself is pathological. And what that means is, is that just like poker price is always generally trying to tell you something or reveal something about itself that I don’t really have to pay attention to the news or fundamentals because ultimately that is delayed information. Okay. Because remember, who has control of that information?

[42:53] Is it you? If it is, come talk to me, but most of the time it’s not you. Okay. So I believe that basically price is telling me something and I write algorithms generally in python or easy language, which is something in trade station that automatically trades for me. Okay. Why do I do that? Ultimately because I’m lazy. I don’t want to wake up at 8:30 in the morning. I want to wake up at 10 or 11 and I don’t want to sit there in front of a computer all day either. I will work as hard as I can to actually do nothing all day. You guys need to understand that. Okay. That is my main motivation besides money. Okay. So the advantage of using a quantitative approach in the market is there is no looks like there is no. It May, there is no, you interpreted it wrong. Okay. And for a lot of people they are stuck in this circle of hell that I like to call this because they are confused about what they should do or how they should trade. Just like this picture here, is this a rabbit or a duck? Anyone?

[44:09] It’s both, but your mind can only see. So if you look at it this way, your mind can only see the rabbit, right? And if you look at it this way, it sees the duck and once you see that you can never unsee that. Okay. And it’s just like a, what’s that thing where people can you pictures and you can never see them. Snapchat. Okay. So it’s just like that and that’s why I choose to be a client because I want to know the exact probabilities of everything I’m doing and I don’t want to be stuck in what I like to call it, the infant in circle of hell. Okay. Which is this thing that psychologists do, which is really annoying. Alright, so I trade everything. Okay. I trade the futures market, I trade the s and p 500. I trade oil, I trade natural gas, I trade, we trade penny stocks.

[45:03] I literally do anything I can find an edge in. Okay. Because again, I don’t care about anything about a company because ultimately companies like Enron exist and that’s terrible. But how am I supposed to know? I don’t know. Okay. So I’ll make it simple. All right. So, uh, this is just one of the strategies I have in a portfolio. Strategies that I like to call a try. Seasonals. Okay. It goes back to the 19 eighties, um, and it is basically trades the Japanese yen, the s and p 500 gold oil. And uh, what else did I put in their wheat? No soy beans. Okay. So it’s trades five to six markets. It’s the same strategy. This is this performance track record. Just to show you a track record. It’s very impressive. I think, and this is what’s called a correlation matrix. If you don’t know what that is.

[46:02] And what that means is, is that this is just a proof to you all, that every single time I take any of these trades, they almost have no correlation to each other. Okay? Why is that important? Because when you’re trading multiple things, you want to have almost no correlation to the other thing that you’re trading. Because if you do, it’s essentially the same trade. And what happens when you take the same trade twice and it loses you just smack yourself twice. Okay? So that’s just approved the strategy and it will have itself has no correlation to each other. This is what called a variance test. And what’s the most important information is basically, this tells me confidence intervals. So over the next, uh, what is this thousand trades or. So my expected return is like 300 to four or $600,000. And my draw down is expected from anywhere from $6,000 to $36,000.

[47:00] Okay? So that way if all the strategies lose and I lose $36,000, am I crying in a coronary? Know why? Because it was expected. Okay? And that’s just the strategy. So this is how it’s performed. Now I treat five contracts and I don’t have time to go into what that is, but basically this is based on the lowest amount of contracts. It’s just one. And in this strategy it’s a. is this trading the SNP? So since the beginning of 2018, the strategy inside the portfolio by itself has returned on this particular market, the s and p 8,450 if you want to know what I made on it, take that number and multiply it by five. Okay. Because I trade my account is bigger so therefore I can trade much larger and I was actually able to catch a piece of this entire panic in the smp that everyone was wearing about if you pay attention to the market.

[48:03] Okay. This is also just a point of information. This is the largest range day in the smp 500 in the last 20 years. Okay. That’s pretty impressive. And something I didn’t expect because if you see my strategy got out here, do you think I feel like terrible as as this? Yes. Why? Because I’m short, so basically I’m betting that it’s going to go down and I make my money and then all of a sudden it’s like I’m still going down and I’m like, no, but that’s okay. You can’t win everything. Okay. Because it’s a game of odds. All right, so the next thing in this strategy made $3,400. This is trading on gold. Okay. So again, you see all these things where it’s like buying and selling, buying and selling. Here. Am I touching this? No. Okay. Oh, computer is doing this. Okay. I wrote the program.

[48:53] It’s doing its thing. So I made 3000, 400 again for me. Take that number. Multiply by five. That’s what I made that this is only in 2018 by the way. Okay. So this is out of sample performance, which is. I’m not going back and looking back in time. This is really what happens. Okay. There’s another strategy on oil. We just freaking killing it son. Okay. So we’re just like buying or selling or buying here, selling there. But I mean just winning trade after winning trade after winning trade. Okay. It returned $10,000 per contract over here. I forgot to mention these are the actual trades, like entry day, exit date, what number it was, where I got in, where it got out. So multiply that number by five again. That’s what I made. Okay. Because this is what I actually do for living. Okay. This is a soybean traits.

[49:42] Do I know anything about soybeans? No. Okay. Alright. So this is. This trade was just taken. Okay. It was crazy. All right. Because what happened was as the market opened down, my algorithm bought and I’m like Oh my God, I’m about to get smacked because we closed up here. We’re like, we dropped almost like 50 points but this is why I removed myself because emotional matt would be like, we’re going to get screwed. Okay. Algorithmic. Matt is like, we’re going to make money son. It’s fine. Don’t worry about it. Boom. Okay. I didn’t know that was going to happen, but overall, all right, so this made about $30,000. Okay. And this is in the end? Currently I’m getting smacked. Okay. Because for whatever reason, everyone’s went until the weekend. Like the p will be fine, and then they woke up on Saturday and trump was like, I’m bombing Syria and they’re all screwed.

[50:48] So I actually went on the street, but this is where I entered right here. Okay. So, um, yeah, I forgot to put the total whatever, but basically it’s made only a thousand dollars. Okay. So I’m trading multiple markets and this is just one of like a kajillion strategies I have. I have so many strategies. I don’t even have enough money to trade them. Okay. But I like to make them, it’s an arms race and I like to win the arms race. Okay. And uh, so this is really just to show you the effectiveness of using a mechanical system. I cannot hand trade. How do I know this? Can anyone guess I tried it and guess what happened to me? That smacks. Okay.

[51:35] Um, so a lot of people though this end, what Steven and I do is considered the retail space. Okay? We’re not professionals, which means we’re not managing cajillions of dollars. All right? So a lot of people in the retail space actually don’t do this. Okay. Machine learning has been around since the 19 eighties. Quantitative analytics has been since the 19 sixties. Okay. So when I started doing this stuff, I was like, there’s no way there’s any edges lift wrong. Okay. Because guess what? Nobody does this. I don’t know why. And the thing is, is that when you are trading, you need to know the odds of what you’re doing. Okay? You can either walk into the casino to have fun or you can walk in and you want to win. Okay? And this is the same mentality if you like to play poker or blackjack.

[52:28] Okay? So in the upcoming slides, I don’t think I’ll have time to do all of this, but um, I’m going to show you actually a couple of trades that are upcoming. Alright? You’re gonna play Notre Domus for you. Alright. So, um, we’re going to use a what’s called seasonality. And I give you this list of what actually works in the market if you’re trying to do this research for yourself. So you have market regime. So splitting the market between bearish and bullish conditions, short term swing trading, pattern recognition, seasonality cycles, fundamentals. Normalizations of numbers and breakouts, these are kind of all the things that work in the market. So there are a couple of things that don’t work. This isn’t popular culture. Okay. FIBONACCI again, Rsi, stochastics each cloud. Although I really liked the cloud, it’s Kinda cool and um, the list goes on and on and all of these things, if none of you guys are traders, because I don’t know who we have in the room, but these are like indicators that you put on your chart.

[53:38] Okay. And I’m saying these don’t work by themselves. Okay. So why don’t they work? Because the data tells us it doesn’t work. Okay. This is buying Rsi when it goes below 30 and selling it when it goes above 70, these are just oscillators. And essentially if you look at the statistics here on the smp 108 trades only a 60 percent of the time at work, but all of the money was basically made on the long side. And this is the short side. Okay. So going short. So basically the system is buying under 30 and selling short when it goes above 70. And this is a very popular indicator, but it doesn’t work. Okay? So the reason I know that and the reason I don’t want to use something like that is because that’s what the data says. Alright? Um, and the moral of the story is, is anything that you guys do in the market, whether you get into this for fun or not, is you need to do the research period, end of story.

[54:39] If you’re not, um, you’re going to get smacked. And the big secret about all of these indicators are, is they’re meant for to be filters not to be used by themselves. And people run around all the time selling different indicators in our industry talking about this, indicated that indicated. But the truth is, is like the data doesn’t support using them. Okay? Who is his best interest in selling those indicators? It’s the person that’s trying to get you to buy it. It doesn’t actually work. And you can do this stuff by yourself to test it. Don’t believe anything that we talk about or what you read, test it out. Okay? That’s my main point. And we’re going to go through this pretty quickly, so I’m going to show you what’s called seasonality. I’m basically on taking every single day, have a market and I’m turning it into what I call Tom Trading Day of the month.

[55:37] There’s generally 21 trading days in each month. Okay? So I’m normalizing the data in a very simplistic way. I’m just saying when the market is trading, this is Tom, one, two, three, four, five, six, seven, eight, so on until the next month. And then resets itself. Okay? And this is a very effective technique. Another thing I’m going to show you is what’s called df Po, which is called delayed, profitable opening. All that means is the exit rule is if we’re long here and the opening is above this opening, then get out on the next bar. So this is three days. Yes, I hold trades more than three seconds. I know. It’s amazing. Okay. So this is three days of that and that’s what the FPO mean. So that’s the exit trigger. And so when I give you the total thing, you can see, uh, so, you know what I mean?

[56:31] Okay. And this is what I call an eraser Seo. This is what an edge ratio to sum this up real quickly is basically, this is where the trade was entered. How much edges in my favor. Okay. Because I want to know if I’m long the trade. Okay. How much does it go against? It’s basically maximum excursion. Okay. So. And then this red line here is a random line that’s generated for the price data and I’m just trying to find out, do I have an edge when I take the signal? Because that’s really important because if it’s, if it’s just random, it’s below random. Why am I taking it? Is I could just throw a dart and I could get it. Okay. And that’s Kinda my own indicator. All right. So you guys can go to this website and if you want me to I can give it to you. Okay. And just to verify that the trays I’m about to give, you were posted. What is March 31st. Okay. So you can check that out. So this is from my actual watchlist and I’ve been doing this with my students just to blow their mind really?

[57:40] So since 26, 2016 or 2017. I’m sorry. I’ve been giving them these trades 10, 15 days before they happen. Where to get in, where to get out. Here’s the stop loss. Here’s the statistics. Here’s the ratio John. Okay. Why do I do this? Because I’m trying to convince them to stop trading because they’re so terrible at it. Okay. So this has returned $32,000. Is that big money? No. Does it beat 99 percent of the traders out there? Yes. Okay. And the reason is simply, it’s very mechanical. Okay. So I’m going to give you these trades for fruity. Alright. And you can track them and you can say, God, that’s amazing. Or God, this dude socks. Okay. All right. So here’s one trade that you won’t take advantage of though because it’s already happened. Where did we get in here? Is it was posted on for nine.

[58:32] It got in that 60 to a two to three days later. It was up 65 per contract. You can trade as many contracts as you want. Okay. But per one contract it made almost $3,590 and that was given to them literally 10 days before it happens. Okay, so you got to understand the people on my watchlist, they’re very like, whoa. Okay. So here’s the trade. This trade is coming up, not tonight, but tomorrow. Okay. This says if today is tv on 11, which is technically Monday, then by the next bar open, which is technically tdo. I’m 12 stop losses, $2,000 looking for the first profitable opening and we’re going to say if we don’t get stomped out or do we don’t do this, the whole time is four days. This is the eraser, which means there is an edge. That’s the winning percentage. Eighty percent of this time, this trade works.

[59:28] Do you know how many people tell me I don’t want to do that? A lot of them. Okay, because then you’re doing something that works better than 80 percent of the time. That’s hard to find. Okay? And this is just buying on a single day, getting out when you’re profitable whole time is for stop losses to all of this is laid out. And like I said, I can give you that link and you can verify it for yourself. Okay. Here is another market. This is for oil. This is shorting oil. Okay. So for the ratio when we’re short, when we’re betting against the company, we want to see it below the random line. Okay? So this is just to say it’s better than random and it’s TDM 20 shell short. Next bar, open stop loss. $2,000. Looking for the phrase profitable opening. Or if none of those things happen, only hold the trade for two days. Okay? Entry exit. Stop laws. Everything is given to them at 65 percent of the time going back almost 32 years. Okay? So oops. Didn’t mean to do that. Come back.

[01:00:32] All right, so I’m in sublimation when you decide to do any kind of trading, you guys need to make sure you have an edge. What do I mean by edge? Exactly what I just showed you. If I come to you and I say, how do you make money? And you say, well, sometimes I do this and sometimes they do that. That’s not an edge. Okay, show me the data. Okay. I’m very data driven when it comes to this stuff and um, you need to make sure that you’re just doing all of that because a lot of people think that this is just quick money and it’s not, it takes a lot of hard work. I also teach people how to do this. I have two dvds and I also, with my friend, we created this thing called build Alpha, which basically allows you to mind strategies. And if you don’t know how to code, it will actually print code for you. So don’t want to hear any excuses. So check that out. And I really hope I was quick enough. Was I good?

[01:01:30] Thanks. It

[01:01:35] is called, it’s called a and bids. So when windows stop gapping up, no volume, very divine. Must give them. We call, I call it stepping on air. So windows stack is stepping on entering the market and the headset, decent, thick, very thick bits. I’ve been very beginning of the morning. Spike now will be after we might have tracking data, I think that will be 90 percent of the loan rate. So, um, there’s few bunch of whole bunch of details, but I will be including in my, uh, one of the great courses and so, uh, but the pattern is called escaping known hair and, and it’s, it, it’s the one of the pattern eating cereal.

[01:02:31] So most of my day I spend probably 13, 14 hours doing research because you have to remember that. So for example, and this is just the pure honesty, US system straighter will never make as much as someone like Steve, um, because you lock everything into like a formula and over time if your formula isn’t even if it’s robust, so it withstands everything. It can still failed. And so you have to, like I said, it’s an arms race. You have to constantly be doing research and studying and coming up with new ideas. And if you even notice with a good discretionary trader, they are always adapting. And so really you need to have an army of strategies, really a, and there’s lots of things you can do. I think the big thing in people’s mind is like, how do you do that? Uh, I mean, machine learning has alleviated a lot of stuff for me personally because it’s so, it’s everywhere now.

[01:03:39] And the other part is, is that, you know, you have to, you, you don’t have to always be so creative and you can’t get in the mindset that all of these hedge funds are using your strategies because remember, these people can’t use your strategies because they’re too big. Um, so you have as an independent trader when it, in terms of coming up with strategies and it can be very simple and it works crazily good. Like you have the best advantage because you don’t have a lot of money chasing your strategies because remember they’re there. They can only do so many things. You can do everything. And so, you know, I think a lot of people are like, well, how do you do all that? It will. It’s like you can do simple stuff. Like what if the market closes down like the close of every day is down.

[01:04:25] Okay. If you do that on the SNP for example, five consecutive closes and then by the next day that works like 72 percent of the time with the risk of like $2,000. That is something that has persisted even since the 19 eighties. So the rigidity of something so simple is probably a will continue. So where you’re going to tell people like attack that strategy, which I doubt they’ll do. Okay. So it’s for me, I spent a lot of time just doing any research and just coming up with ideas. You even listen to what he’s saying. He’s coming up with his own way of slicing of the market and that’s really what you have to do and then you have to track that and you know. So that’s what I do most of my day. Okay. Backtesting

[01:05:18] in individual strategy. And how long does it take you to make those soft report?

[01:05:24] Okay. So I have three computers in my house, one is for testing, so there’s two in my office and one next to my bedroom. And my wife, I don’t know, she doesn’t care, but most people I think when he, so uh, so one is backtesting, so sometimes backtesting can take a long time. If you’re using data that’s like a kajillion data points. So like Kyc data for example, it takes a long time to loop through everything and go through that. So that can take days sometimes, depending on what it is, right? Normal strategies can only usually take, depending on your computer power, obviously to a can take anywhere from like 10 to 15 minutes to like go through everything. It just depends. And then when it comes to like building software for yourself that depends on you and how well you can code and come up with stuff. Backtesting and something that can be done in almost any decent platform like train station or trade navigator, uh, in, you’re just basically writing rules and then pushing it back or you can design your own, but you don’t have to reinvent the wheel. So it’s out there for you if you, if you really want it. So, um, yeah, I think, is that all right?

[01:06:45] The size of your account? And the positions that you take, you just showed us in a penny stock in the low float stocks. Aren’t you influencing the market when you take a trade?

[01:06:57] In most cases? I don’t think so. Um,

[01:07:00] because you take huge position. Yes. I take a huge position, yes. To me, even when I go into a position like that, if the message pops up, you are going to influence the market stock

[01:07:13] first. I know how I tested Australia, I, I don’t want to influence the stocks because when I started noticing that more to come very hard. If it goes against me, I’m pretty toasted. So you size the name? Yeah. Yeah. So when you are assessing them or assessing a huge positions, you want to see how many shares would be traded. So it’s been here. It’s been traded our lot. Thank you. 100,000 dollars then it’s very easy now as it will be only traded $500, $500,000 shares that you bought or 500 shares. They definitely influenced America. So it really depends on how should be trading on the current day. So I use that basically as my indicators for my position size.

[01:08:10] Take one, 500, 500 or 1000, 100.

[01:08:13] Oh yes. I do split my, uh, physician seeing parts to adding

[01:08:19] you’re sweet to use several years ago. Just getting into the business.

[01:08:25] Okay. So three tips. First, if you are biased in short, don’t short the first green day as the first. The second one was started to determine work, cut it and do something else. Go study or on vacation, whatever. A third, a third, don’t, don’t, don’t follow it. If you are here, if you’re her friend, somebody say in sectors, have I by that? So that’s this. Then don’t ever follow others because a turns out to be losing money.

[01:09:06] Did you ever have a real job?

[01:09:19] So I didn’t get to go over my background. Okay. So I have a bachelor’s in psychology and so obviously that took time during school. I’m in two master’s program, one is for quantitative finance and the other one is for forensic psychology, which I currently do when I was going to school. Okay. I had a fulltime job. I pretty much supported myself. I had insane insomnia. I taught myself to program a, b, think youtube and insomnia because I didn’t know what to do with my nights. Uh, I had a graveyard shift at the school. So basically I got the, I brought halo down there sometimes I’m not gonna lie, it wasn’t all study, but uh, so I would really study at night and work at night and my job allowed me to do that. But I also wanted to make extra money. So on the weekends I would be. I used to work at all the very, as a door greeter. So I’ve had multivariate jobs while it was doing this stuff. Uh, this honestly just like, I think just like a musician, if you ask them, they like, it’s a way for them to. The stress or something. This was kind of an outlet for me. So it’s not like it was just like I appeared one day and then I was like, I know all,

[01:10:45] I will not make money.

[01:10:48] Yeah. I always wanted to, like for me, I had this threshold in my mind where I was like, I want to make a million dollars. But then like I started to read about like what the dollar is worth and I was like, okay, I’m to make $20,000,000 a. well yeah. So yeah, I had like some kind of monetary goal, but I didn’t know how it would get there. I just figured I’d work really hard and like day all the side projects I would do with paying out. Cause I mean I, I’m into like graphic design and videography and stuff like that too. I have a lot of interests and I like to do all of them. Uh, I really don’t like to sleep. I think it’s a waste of time. Uh, and yeah, I don’t, I don’t know. But the thing for me is like what changed that direction was because when my mom passed away and she left me like some of the money, like I would give for my inheritance.

[01:11:42] Like I was like I really want to use this to see if everything I’ve been doing since I was 15 actually works because just because it looks good on paper doesn’t mean that it’s actually gonna work in practice. That’s naive to think. So yeah, that’s what I was kind of the turning point for me. So I mean there was no like epiphany moment, I guess it’s just something I wanted to do. It’s something I’ve been interested in and just kind of wanted to see, can I take this money and turning it into something. The worst part about doing that though I think was every time I lost I felt like I was like smacking my mom in the face because it was something that she left me and here I am just like, oh, I just lost $30,000. No big sleigh. And uh, yeah, that’s. So I would not trade with money that there’s one thing like don’t trade with money. You can’t afford to lose or have any attachment to. But yeah, it was, that’s how I really got started. And it wasn’t just like a cakewalk either. I wish it was much easier.

[01:12:47] Are you familiar with the strategy? But I’ve seen a little bit of your work through like answers stock. I watch all the answers and uh, I, what I knew was that in the beginning you were doing like a superman, like you were trading under superman or superman strategy. I knew you were connected to superman. Superman is a trader, but those who don’t know a trading on a under superman strategy. So all this, you know, about other markets. This, you were learning on the side, you were learning beforehand or.

[01:13:21] Yeah, that. So I think that’s a really good question because most people who have known about me like associate that and I was never, I never traded like he did. I joined his stuff because he was making ungodly amounts of money and I was like, what is this person doing? Because that’s insane. And so I joined this stuff to look at what he was doing, but he was, he was basically deciding on businesses and for me that’s not how I view markets and I could never do that. So it just so happened that, you know, the whole profitably thing, you know, it’s like when people join another pupil, they become their quote unquote students. And it just worked out that way. So I mean, I don’t really ever a trade like Paul, his real name is Paul. It’s not superman, but just so we’re clear on that.

[01:14:07] And uh, yeah, I just, I just want, I, like, I’ve joined hundreds of services just to see what people are doing and what I found out ultimately is that nobody in retail like does or thinks about markets except for him really a the way I do, which is like, it’s all about odds and probability. And that’s how that whole thing played out. I mean, because I used to show him like I used to show Paul and like what it was doing. He was like, Holy Shit, how are you doing? Sorry you guys, I don’t mean to cause for the world to see. And uh, yeah. So he was like, how are you doing that? So, I mean it comes down to people and like what they want to do. But ultimately I think you need to have an edge because if you don’t know the odds, like I was saying before, and even what you were just saying, then you’re never going to have confidence in what you’re doing. The reason he can pull the trigger at like ungodly amounts of money is because he knows what he’s doing. I’ve seen what he does and it’s a lot of work. It’s not just like Steven wakes up in the morning and is like, I feel the market will go down. That’s not what he does.

[01:15:24] He knows the exact date. Awesome. What he’s doing. And that’s what gives him the motivation. The confidence answers be like, let’s see what happens. Okay. So if you don’t, if you’re not in that head space, then you will always, I think be in the cycle which you were talking about, which is like this, this never ending thing of just like, you know, you lose big on one trade and now you’re kind of like, you seem like you can’t just get over that, you know, because you have to know the odds of what you’re doing. And if I were to, if you were to honestly ask yourself every single morning when you take the trade or when you’re in a trade, why am I in this trade? And you can’t answer that question. Probabilistically, you shut it began that trade. Okay. So, but yeah, that’s how that whole thing with Paul and um, went down though.

[01:16:16] You say you say not a lot of people look at the markets like you do. Is that, do you think

[01:16:21] in retail you go to a hedge fund that’s time, but does it work?

[01:16:25] What do you think that’s your personal individual? Your preferences? Like you’re just a numbers guy and you like that predictability and knowledge. And I know you guys track everything so you know, they sounded a key for you. It’s very math, the stock market for using more mathematical than it is for other people now. Do you think that’s because of how you, you are naturally or early, didn’t you just go there? You just said I want to learn numbers.

[01:16:53] Okay. So for me I was, it’s not like I’m like some math savant. Okay. Like, I hate math, but if someone back in the day came to me and was like, do you can make money off of this? I’d have been like, hell yes. Okay. Because ultimately I like the game of the stock market. It doesn’t really matter. Like the monetary thing is awesome. Right? But I really liked the challenge of the market and so if you don’t love it in that way, it’s going to be hard for you. That’s not to say there aren’t discretionary traders that don’t do any mathematics at all and still make it a vine. That’s fine, but how do you know something is going wrong when that when your gut starts to turn the other way on you and that’s the point. So you don’t. You just need to adapt the philosophy of knowing your edge and yes, that neutralizes I think, the fun of markets for some people because it’s not like this, I am a man, I trade and I kill my prey and I eat it.

[01:17:54] That’s like. But that’s the culture of the market that has been transcended down generation to generation, but you really need to know, like the edge of what you’re doing. It is a numbers game. You are the weakest link. Everything that is wrong with what you’re trading is or if you’re honest with yourself, it comes back to you. So what did I do? I said, okay, remove myself. Right. That was the logical expectation. So you know, yes, it may not come easy to you, but the sooner you adapt to that, the better off you will be. As a trader. I trade is with me that are hybrids. Okay. You think they, you know, they watched too many movies. They’re like, I’m a hybrid, comes out, but it’s like, you know, so they will generate a signal. Then they will decide, oh it doesn’t look right, right. There is some intuition with them and that works for them. And you can do that too, but you still need to have an edge for what you’re doing even if it’s something that you’re not really interested in. Because this is a numbers game. What you’re looking at is not pretty charts. Those are numbers going up and down, so that’s just my philosophy on that.

[01:19:15] I have to wrap it back here and this concludes our stuff. You Miss Ms Dot beach today and I would like to thank you, our speakers theme few. You our sponsor at Nike,

[01:19:33] it looks like.

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*******All performance metrics mentioned here, on Profit.ly, Interviews, or any place else are deemed hypothetical in nature. According to  Commission Rule 4.41(b)(1)(I) hypothetical or simulated performance results have certain inherent limitations. Triforce LLC (Matthew Owens) is not a licensed broker/dealer, nor is he/company a registered CTA, therefore unless otherwise third party verified through the licensing government bodies, all performance metrics are hypothetical.  Please refer to our Disclaimer. *********
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