If you wish to stick to your diet, you must first create a universe of habits. Hello and welcome to the Communist Manifesto for Personal Finance. The only program that teaches you how to seize your means of production, I'm Comrade Rourke. Behold the human brain, the organ that governs everything we have done or will ever do. Here we have the occipital lobe, which interprets vision so we can understand memes. Here is the cerebellum, the part of the brain that controls motor functions so we can re-educate fascists with our tanks. And here is the temporal lobe, the part of the brain that understands language so we can call each other f***ing on the internet. The brain is a miracle of evolution, marvelously sophisticated, full of lobes and cortexes that have built the glorious civilization we see today. Truly, the brain is something we should be proud of. What we shouldn't be proud of is our bad habits. If there is one fundamental conflict we will never escape in our lifetime, besides its class conflict. It is the battle between theory and praxis. As a communist, I know this conflict all too well. No, I don't. When I say there is a conflict between theory and praxis, I mean there is a disconnect between what we should do and what we actually do. We know staring at screens is bad for us, but after a stressful day we doom-scroll on our phone. We know we should eat fruits and vegetables, but we order pizza every night. We know we should save money for retirement, but Mark's dammit, I want that gold-plated clashnikov on Red Sea, the communist version of Etsy. Why do people behave irresponsibly? As arguably, the most intelligent species on the planet, shouldn't we base all of our decisions on reason and logic? Why do we fail to do this? The answer is literally at the center of our brain. With all the folds of gray matter, just above our brainstem sits a little ball of tissue called the basal ganglia. Chances are you've never heard of the basal ganglia, but it is a very important part of your brain, because it is the part of the brain that controls habit.  All of these are habits. In 2006, researchers from Duke University found that 40% of our behavior is controlled by habits, meaning that for the rest of your life, you will perform two out of five actions without conscious thought.  Understand this. The fact that habits control 40% of our behavior isn't a bad thing. In fact, habits are a very necessary function of our brains. Habits are how the brain clears space for higher functions. Do you remember when you first learned to tie your shoes? Probably not, but I'm betting for most of you it was mildly to moderately difficult. But after you did it a couple times, you could do it without any thought whatsoever, because tying your shoes became a habit. But imagine if every time you had to perform this simple task, you had to really think about it. What if you had to exert the same amount of brain power for tying your shoes as for the SATs? 20 years, bunny ears, Chris crossed a tree trying to catch me. Bunny ears, bunny ears, jumped into a hole, popped out the other side, beautiful and bold.  The human species would go insane. More insane. In a sense, habits are the atoms of our behavior. They combine and form the patterns of our day to day life. Consider the act of driving.  All of these are habits that make us successful drivers. Yet as we all know, there are good drivers and there are terrible drivers. This is the great drawback of habits, much like compound interest. Habits grow exponentially. If you perform healthy habits, they can become creators of wealth. But if you fall into unhealthy habits, they become destroyers of worlds. And here is lesson one. Before you try to improve yourself, understand habits. Every habit begins with a cue. The cue is a signal, or for you snowflake cuckolds, a trigger. Every day we are constantly bombarded by signals from our environment, and at least 40% of the time the basal ganglia automatically responds. When you enter a dark room, you turn on the light. When you hear the sound of a text, you pick up your phone. When someone cuts you off in traffic, you flip them the bird. These are all automatic responses to your environment. For all intents and purposes, the basal ganglia is a hard drive that stores away environmental information. So when you encounter a familiar cue, you automatically know how to respond. What's truly amazing is that the basal ganglia rarely forgets a cue. You've probably heard the phrase, like riding a bike, or muscle memory. All these phrases describe how when a person learns an action, like riding a bicycle, they can easily recall that action, even if it's been several years since they last did it. Because their muscles remember it. Really though, it's the basal ganglia that recalls action, and as long as your basal ganglia remains undamaged, it will keep remembering cues and forming new habits for the rest of your life. But this incredible ability is a double-edged sword because while the basal ganglia never forgets the cues for useful behaviors, like tying our shoes or subscribing to YouTube channels, it also never forgets the cues for unhealthy behaviors. If you've tried losing weight, you know what I mean. Say you've been on a diet for two weeks.  You're eating kale. Things are going okay, but you're expending a lot of willpower to stick to your diet. But as long as you don't encounter any unhealthy foods, you should be able to control yourself. And then, **** Sharon brings chocolate cake to work so she can share it with everybody. Why did you do that, Sharon?  You did it so you could **** me over because you know I'm on a diet.  Are you happy now, Sharon? Are you eating well? Cues can have much more serious consequences. All too frequently, a person who is struggling with addiction will go to rehab and get clean, but then return to the same environment that triggered their addiction. Faced with the same cues, many people often relapse. Cues can also be a powerful tool for capitalism. You may have not heard of them until today, but I guarantee capitalist pigs have spent billions, if not trillions of dollars, engineering the perfect cues that will make you spend, spend, spend. An advertisement on your social media, a suggested video on YouTube, all of these are cues designed to modify your behavior. If you're living in post-pandemic times, visit your local grocery store and look at the shelves. Cues are the most expensive items are at eye level where they are easiest to see and grab, while the cheaper items are on the bottom shelves. Retailers often design their stores so the most profitable items are easiest to see. All of this brings us to lesson two. Half the battle is modifying your environment.  We're the most disciplined people in the world. Personally, I think of soldiers and nuns. Do soldiers and nuns have more willpower than the rest of us? No. They just live in tightly controlled environments designed to modify human behavior, barracks and convents. In one of these environments, individuals are subjected to rigorous discipline bordering on abuse, where every mistake is immediately corrected by screaming, physical conditioning, or even corporal punishment. And barracks can be pretty rough as well. Point is, highly motivated and disciplined people aren't genetic marvels who have unlimited amounts of willpower. They're just people who live in environments designed to cue a specific behavior. Which means you also can change your environment to make the cues for healthy habits obvious and the cues for unhealthy habits invisible. If you want to get into shape, you can remove all the sugar from your home. If you want to read more books, you can hide your smartphone. And if you want to save money, you can use the skim. Here at the CMPF, we often advocate using the skim. For those who haven't seen our episode on budgets, the skim has three steps. Number one, decide what percentage of your income you want to save. Number two, when paid, immediately put that amount into savings. Number three, spend the rest. Eventually, the skim is environment modification.  You have altered your environment so that less money is available for you to waste. Again, make the cues for healthy habits obvious and the cues for unhealthy habits invisible, because the wrong cue could lead to, why do people eat dessert? As far back as I can remember, there have been countless scientific studies and after school specials warning of the dangers of sugar.  If you're someone with a terrible sweet tooth, I'm not trying to bully you. In fact, I'm on your side, because at some point somebody probably asked you, Why did you eat all the ice cream? Don't you know that's bad for you? This is an asinine question.  Yes, we know we're fat. We also know borscht is delicious and jogging is the devil. The issue is unhealthy behavior isn't an intelligence problem, it's an emotional one. The great misconception we have about our brain is that we think it's sole purpose is to think. But really, thinking is our brain's secondary function. The primary function is to feel. This is hard to comprehend because our brains are the center of our intelligence. But we forget they're also the centers of our emotions.  When you were in these extreme states of emotion, did you make the best choices 100% of the time? Oh, God. I'm going to guess no.  When somebody is in a state of extreme emotion, a small part of the brain is thinking. I don't think this is a good idea. We'll probably regret this later. But the emotional part of the brain is screaming. Let's burn this mother f***er down. This is lesson three, emotion f***ing logic. In other words, your feelings don't care about facts.  It's an extra meal we don't need to eat. The ingredients that make up dessert like bleached flour, refined sugar, and heavy cream are so unnecessary for our survival, they do more harm than good. But I'm betting most people who eat dessert don't do it because they rationally want all the health benefits of ice cream. When someone with a sweet tooth sees a queue that reminds them of dessert like an internet video where the host spends five minutes eating cake, they experience craving. Craving is the second part of a habit. It is the desire for the habit's reward. Do you remember the first time you had a slice of cake? Probably not. But I'm betting that most of you enjoyed the experience.  Dopamine is literally the molecular component of craving. It is a neurotransmitter, a chemical messenger that tells our brain which actions are pleasurable.  If I want to experience this feeling again, I need to repeat the action. Dopamine hardwires habits into our brain through emotion. So when you encounter a queue for that habit, your basal ganglia will automatically swing to action.  Often, when we crave something, we don't crave the object itself. We crave the emotion attached to it. We don't eat a whole jar of cookies because we really want diabetes. We eat a whole jar of cookies to relieve our stress, especially if our job actively abuses us, which is the case for at least 20% of U.S. workers. Don't scroll through social media because we really want to read everybody's well thought out political opinions. We scroll through social media because we're bored and doom-scrolling passes the time.  We spend thousands of dollars on useless crap because we saw an advertisement or social media post that made us feel insecure. But if we buy the new smartphone, we'll fill the gaping maw in our soul for at least 15 minutes. To break kayfabe for a moment, when I was $50,000 in debt and working 12-hour days at the post office, logically, I should have just eaten beans and rice. I would have gotten a complete protein and could cheaply purchase these items in bulk. But I didn't do that. Instead, I spent hundreds, if not thousands of dollars on fast food meals.  But I didn't care. Every time I spent $15 on a fast food meal, I was feeding my emotions. I was trying to eat the pain away. Because emotion f***ing logic, people often give in to their emotional desires even if they know their actions are unhealthy. This brings us to the question, how do we quit unhealthy habits while still satisfying our emotional needs? Most experts recommend a golden rule for changing our behavior. To successfully quit an unhealthy habit, you must substitute it with a healthy one that satisfies the same emotional need. Now before we go on, I want to make a very important disclaimer. So important, I'm going to say it three times. Substitution is not a solution for addiction. Addiction is not a solution for addiction. Substitution is not a solution for addiction. Addiction is a very complicated and difficult subject and we do not claim to be experts on it in any way whatsoever. In fact, when researching this episode, every actual expert we read made it very clear that their methods were not alternatives for addiction treatment. If you are struggling with addiction or know someone who is struggling with addiction, it is imperative that you seek actual medical professionals or support groups devoted to treatment. And I know if you live in the United States, that's easier said than done. Now if you are trying to quit an unhealthy habit that isn't an addiction, there are many substitutes you can try. If you're bored but don't want to spend all your time scrolling on your phone, try reading a book instead. If you want to build up your self-esteem, try exercising for 15 minutes instead of going on a shopping spree. Instead of eating your feelings, try meditating. The beauty of substitution is that it's a very simple idea. So simple most people could figure it out if they took the time to think about their habits. In theory, it should be easy for all of us to discard unhealthy habits simply by substituting healthy ones. In theory. But this phrase in theory brings us back to the central problem. The great chasm between what we should do and what we actually do. Because in reality, replacing unhealthy habits is a difficult process. Often people fail to make new habits stick. In order to understand the mistakes people make and avoid those mistakes, we have to leave the world of theory. To fully understand habits, we must grapple with their praxis. To be continued. Produced in collaboration with Fort Collins Public Media, if you have comments, questions, or suggestions for future episodes, please email us at communistfinance at gmail.com. Or follow us on Instagram at comradroark.   You lost.


Welcome to GLASSET News. Today, instead of doing a live stream, I want to talk to you about why I think is one of the culprits for why the market seems to be the chop sideways or take enormous or small dips throughout time, specifically when there's certain news that comes about. And I'm going to make this short and sweet. And so we're not going to go over 20, 30 minutes. That's going to be about five. So let's just jump into it. This is the reason or one of the reasons why I think there's a problem. So if we take a look at the markets, I think you already know this. Today is the 22nd. It's about 10 a.m. here, mountain time. I'll pass with Texas time. And we saw quite a bit of a drop off yesterday. Bitcoin down 6% in 24 hours. Six. And of course, our market cap was doing pretty well. 2 trillion, 2.1 trillion. Then all of a sudden just seems to drop off. Now there's some winners around here. I don't need to tell you that because you check your portfolio at the time. So the question is what the heck happened? And before I take a look at the correlation between S&P 500 and NASDAQ, I want to play this video. This is from FastMoney, CNBC. And this first minute and a half or so, they're going to talk about exactly what happened. So just take a listen. And the next part is going to be very pertinent to why I believe that this market will either chop sideways or continue to go down throughout 2022. Not that there can't be a good rally, but I think this is something that you need to know before you do any trading. So just take a listen. I mean, the picks was up 11%. But if you look across sectors, some of the destruction was awful. In fact, I listened to those Powell comments. And to me, again, evoking, and in a glorious way, Paul Volcker and talking about a guy who basically crushed and rubbed out inflation in a way where actually there was a sense that you no longer had to worry about that. It sounds like that that's his goal. And I would go back to Van Halen again and say their next album, I believe was called Diver Down. And that the minute we heard this, the minute the bond market got up to 295, you absolutely had a case here where the equity market sold off. And again, the destruction wasn't just in retail, wasn't just in some of the high tech names. It was look at the resources space. Look at these are demand destruction type reactions from a market that listened to Powell again, a Fed that hasn't hiked 50 bips since 2000 hasn't gone back to back on meetings since 2006. I know the Fed is telegraphing, but people seem to be taking this for granted. This is not insignificant. So yeah, that's what happened yesterday. And we had known about this. Everybody's talked about it drone Powell come out and said, Hey, we're going to raise rates. And he's gone from a little bit a little more hawkish, we would say, right. But the thing is that everybody said, don't worry about it. Everything's priced in. We already know it doesn't matter if he does two hike rates, six hike rates, which he was planning on doing actually, it's even more than that now, six, seven or eight. It's all priced in. It's all priced in. The thing is, if it was all priced in, what happened to the market? So the next person who's going to talk, this is Steve Grasso. And before he talks, I'm going to tell you this is who he is. Steve Grasso, Wall Street, New York Stock Exchange pedigree. He is also the CEO of Grasso global. And if we take a look here, begin his career, career work on the floor of the New York Stock Exchange 1993. So he's been around and he's managed that some pretty big profile. So the question is, is he's going to be asked is, well, why did this happen? Why did the sell off? And I think it's really important to what he says. So I'm going to play this, just take a listen. And this is the crux of why I think things are going to just chop sideways for quite some time. I think it's, you know, guys said fair, fair warning. Maybe it's fame warning. I don't know if they're really going to do what they say they're going to do. And I said, I said this weeks ago to me, it's almost as the more transparent they become, the more I second guess what they're actually saying. Why do we sell off?  And most of this stuff is done by computers versus human beings. Because as soon as the Fed speaks, you have tape reading algorithms these days that actually sell the stock ahead based on words versus based on actions. So I would expect the market to actually bounce back tomorrow. But I do think, and General Mills has said this, markets have been jumping in a weird fashion. And it's not a real rally. And Gaya said this, I think Tim has said it as well. It almost feels as if it's a synthetic bounce where people are looking to sell those pops versus buy those dips. So yeah, a couple of things to break down there. That was a great point Steve said. Now I knew about bots, I understand there's a lot of trading bots, especially in crypto and even the traditional finance. But when I heard about this about the algorithm, as far as tape reading, just as soon as something comes out, now it makes a lot of sense. Even though there are some rational people in the market, people potentially like you and me, it's not about who is rational and who is irrational. It really comes down to the bots. And of course, once the bots start to get in, it's a cascade effect. And you have more people who may be rational and see what's going on, especially TA traders, and go, you know what, this is sliding down, I need to sell off, I need to sell off, I need to sell off. And it just keeps happening and happening, happening. But what Steve said right there made a lot of sense. And the second thing he said was, I believe that the market will actually rebound because it's just bots. And there's a lot more rational people out there in the market. Well, that's not so much the case. If we take a look at S&P 500 right now, it is 10 a.m. here, mountain. That means it is high noon over on Eastern time. So the market's been open for about three and a half hours. So here's what we got. S&P continues to decline. And also, NASDAQ also continues to decline. So the question that remains, how far are we going to go? Nobody knows. So the thing is, before you make those trades, before you do those things, this is not financial advice. This is just financial opinion. I think you should really take a look at the trading that you are up against and the people that you were up against and the people that actually go. I'm not a big trader. And I think it makes a real good case for just dollar cost averaging. I can't beat bots. It's very tough, especially the ones that do microtransactions millions per second. However, market goes up, market goes down. I've been here for a long time. Time in the market, I think is more important than timing the market. And that's it. I want to make this short and sweet because every time this comes out, I will probably replay this video so people can actually see it. Let me know what you think about that in the comment section. And thanks for stopping by. If you like today's video and give it a thumbs up, also consider subscribing. We do this every single day. And that is it for today. So thanks so much for watching. I do appreciate it and I'll see you on the next one.


Welcome to Spotlight. I'm Colin Lovre. And I'm Liz Wade. Spotlight uses a special English method of broadcasting. It is easier for people to understand, no matter where in the world they live. Today's Spotlight is on laughter. Lord Byron was an English poet who lived 200 years ago. He said, Always laugh when you can. It is cheap medicine. Charles Dickens was a famous English writer in the 19th century. In his book, A Christmas Carol, he said, There is nothing in the world so infectious as laughter and good humor. Martin Luther King Jr. was a leader in the U.S. Civil Rights Movement in the 1960s. He said, It is cheerful to God when you rejoice or laugh from the bottom of your heart. At about the same time, Audrey Hepburn was a Hollywood film actor. She said, I love people who make me laugh. I honestly think laughing is the thing I like most. It cures a lot of problems. It is probably the most important thing in a person.  How can it be all these things? We often laugh at jokes and funny stories, but scientists have studied laughter. They tell us that laughter is about far more than jokes and funny stories. Professor Robert Provine is a neuroscientist at the University of Maryland in the United States. He discovered that we are 30 times more likely to laugh when we are with other people. He said that laughter is a signal we send to other people. It is a sort of language. If we are alone, laughter almost disappears. In the web journal Psychology Today, he explains, Laughter is mainly a social voice that joins people together. It is a hidden language that we all speak. It is not a learned group reaction. It is a natural behavior. Professor Sophie Scott is a neuroscientist, too. She works in the United Kingdom at University College London. She is also a part-time comedian. She tells jokes to audiences. She wrote for the BBC about how this laughing language works. When we talk with our friends, we laugh at their comments. The comments may not even be funny, but we show our friends that we like them and agree with them by laughing. She writes, The science of laughter is telling us that laughter is less to do with jokes and more a social behavior. We use it to show people that we like them and that we understand them. So we all speak the language of laughter and we all recognize laughter. But people in different cultures use humor and laughter in different ways. People in one culture may find something funny, but people in another culture may not find the same thing funny. And people in different cultures do not always agree when it is correct behavior to laugh. People in the United Kingdom and the United States may use humor in a business meeting. But people from Germany or Japan would not usually do this. People can also catch laughter. For example, one friend will start to laugh, then another joins in, and then another, and another. You may have experienced this. Earlier we heard that Charles Dickens said that laughter is infectious. This makes laughter sound like a disease. In fact, in an incident from 1962, laughter seemed like a virus. In that year, three girls started to laugh at their school in Tanzania. They could not stop laughing. More girls started to laugh. Six weeks later, 95 girls were laughing and could not stop. The school had to close. The laughing spread to other schools and villages. By the end of the incident, about 1,000 people had been affected. But for most people, laughing is not a problem. As Lord Byron suggested, laughter can be like a medicine. Many researchers have studied how laughter has the power to reduce pain. In one study, researchers tested how long people could suffer pain. They did this by putting something frozen on people's arms. Half of the group watched something funny. The other half watched something neutral. The researchers found that people who had watched something funny increased the time they could suffer pain. Professor Robin Dunbar of Oxford University led this research. He believes that when we have great big laughs, the body releases natural chemicals called endorphins. These chemicals act as painkillers. Other experts have suggested that laughing makes us think about other things than the pain. Or laughing makes muscles relax, so they are not painful anymore. Many scientific studies show that humour also has a positive effect on the immune system. This is the system that defends a body from infections. Paul McGee is an expert who writes and speaks about laughter in the United States. He advises building more laughter into your life helps you to have all the natural healing resources of your body ready for use. Other experts believe that laughter may even help prevent heart disease. Michael Miller is the director of the Center for Preventative Cardiology at the University of Maryland in the United States. He has been involved in research in this area. He says the recommendation for a healthy heart may one day be exercise, eat right and laugh a few times a day. You may now think of laughter as being like medicine, but could it be medicine for a nation too? In South Sudan, the United Nations mission in South Sudan even tried to use laughter as a way to help heal a nation. South Sudan has suffered from a civil war. In 2016, South Sudan held a festival called Let Us Laugh.  A U.N. press release about the event told about Tong Tong. He is a student in South Sudan. He explained why the event was so important. This is good for South Sudan. It is the way to go for peace. Laughing together is good because if we can all laugh together at the same things, it will be harder to see each other as enemies. We can be friends instead of fighting each other. What makes you laugh? Has laughing ever helped you? Tell us what you think on our website or email us at radio at radioenglish.net. You can also comment on Facebook at facebook.com slash spotlight radio. The writer of this program was Katie Blake. The producer was Bruce Gulland. The voices you heard were from the United Kingdom and the United States. All quotes were adapted for this program and voiced by Spotlight. You can listen to this program again and read it on the internet at www.radioenglish.net. This program is called A Good Laugh. Look for our listening app in the Google Play Store and in iTunes. We hope you can join us again for the next Spotlight program. Goodbye.


Hello and welcome to the first-ever episode of the Dominic Dawes show. I'm Joe Wamba joined with Dominic Dawes and coach over the weekend You guys have a pretty stellar performance a 7-1 victory on Friday night and 5-2 over Morrisville and Saturday. Yeah, I know I think at the end of the day here I think we're very happy and very pleased with the weekend and the start and we've talked a lot all Fall about building the foundation and our goal going into the weekend was to You know kind of put the first couple blocks in place and and that's what we did I think the team came out and worked hard Friday night played with a ton of energy And I think that was as expected just in terms of being kind of the inaugural night And then I think the second night. I think we were a little bit flat I think there was obviously a little bit of a let down, but I think to the guys credit They responded well after after a slow start and being down two goals after the first period and showed a little bit of Resiliency and got the job done it could be difficult at times to come out and have that same intensity the second night after you know You go out put up a seven spot on night one and in your inaugural game Yeah, I mean it it can but it to be honest of what we talked about is it should Every night's a new night for you know all kinds of different different reasons And you have to if you're gonna be successful at this level You have to be ready to ready to play night in and night out and that's I think something We really talked about and we'll talk about this week, you know going into the weekend is Square doesn't matter. You know, we're still kind of in that process of of building and creating what our habits are And we need to you know show up every every shift and one of those guys that Everybody did show up on Saturday, but Nick Bodiuk has gets the first ever hatching in men's ice hockey at Stevenson Yeah, no, I mean he came out. He's a kid that Speed is his his best tool and best option and I think it's his feet were moving and created some opportunities for himself And I think it's good that what it's happy what I was happy with is over both nights We had quite a few guys contribute and that I think gets you know a lot of guys going as we get into the year And I think the discipline level was exceptional as well, you know It may not seem so way that way on the stat sheet, but there were the opportunities to You know, maybe get into a little bit of trouble and they neglected that discipline is something that we've we've talked a lot about I mean being a young team we can't put ourselves in a in a hole And I think we did a great job with it I mean if you look at the national statistics here at the end of the weekend We're at the in the bottom of the barrel in terms of penalty minutes, which is a which is a good thing That's the place you want to be that's the bottom. That's the barrel you want to be the bottom Yeah, for sure Now let's turn our sights to this weekend First conference games of the year with Almyra and Hobart coming in Again expecting a pretty large crowd Friday night for you guys. Yeah, no I we were obviously thrilled with the turnout both nights, but a little different story I think here this this weekend the level play will go up here Significantly, and I think we have to put in the work this week to prepare and get ready for it and yeah, I think it's another adding another component in terms of You know being our first conference games and now starting to establish some rivalries and You know teams that we'll be seeing a lot over the years and getting to play those first games at home Is going to be important too, you know, it's you're you get asleep in your own bed You get to have a little bit of Regularity to what the game might be. Absolutely. No, I think that Definitely holds holds some value Just the the comforts of home a little bit But I think regardless our our thing our focus needs a bond just Showing up and being ready and working hard and going from there. Well coach I appreciate your time this week and we wish you the best of luck in preparation for this week And we'll be watching these games this weekend. Absolutely. Thank you. He's Dominic Dawes I'm Joe Wamba and this has been the Dominic Dawes show


We work at pencil.io when we do things like this and try to make that work. We sometimes is a transitional architect for link data, so you can actually shoot and say it's not really link data at some point and you'll be what? And what we aim with this is to get link data in student companies. We look at link data, we see that really, if you look at how a business solution, a software solution is chosen, it is different than what we choose so far. If you look at the data world, we do something different. See, a business solution is basically chosen when there is a low total cost of ownership. Yeah, that's not really the case with link data. We don't really have the benefits yet and it has to be easy to adapt and extend and link data is really rigid, really think about things long, so it's not really changeable. We want predictable performance, which is something that sparkle endpoints don't really have. It needs to be easy to maintain what that really holds and there's a low initial cost that's not necessarily the case either. So there's definitely a gap here between link data and what businesses really think about. They're way cheaper than what we look at. Businesses look at something else. Something that does have this is that we don't have this. Something that does have this is microservices. Microservices are from a distance, from a marketing perspective. They're awesome. They're tiny so you can understand anything of them and they're very easy to debug because they're tiny amounts of code and they're very easy to reuse. So this would be a perfect solution. This is something you can sell. Only of course in practice there's a bit of an inverse there. This sells easily but it's hard to actually get running. In practice we have data multi-dependencies. Two microservices that basically talk about the same data. They can't really necessarily communicate. Assume that I have a first name and a last name. I have the two of them in my database. I can basically choose to store them together or store them separately. It's basically a random choice for many applications. If I choose to store them separately then that means that I have more detailed information. If I store it at one field I have less detailed information. The more important thing is if two microservices assume a different model one assumes that they're separated and one assumes that they're the same in one field and one in two fields and they won't be able to communicate correctly because they have different assumptions. So microservices people say well it's easy. Just drop an API in between. See you can actually build an API in between and say look this API basically understands the two of them. But now you have a different problem. Your API now has to be standardized. If you want to reuse that microservice three years on from now and you have changed your API that won't really work anymore. Basically now you've shifted your requirements from a data model to an API model which at best is even worse. Lastly there's disaster analysis. Microservices are terribly hard to do disaster analysis on. Assume that I have a Facebook registration. Very simple. The first thing that will happen is my microservice will go to some other microservice and I'll first of all my client says hey I want to register using Facebook and then I have this registration service and the registration service says I want to first check if you already exist so it checks if you already exist in database you don't. It comes back and then goes to this Facebook registration service and that one actually goes to get another service. By now we're about here. And that microservice basically has to figure out where the contents come so what information Facebook has to share on you. Imagine that this thing fails in that whole path. It's not necessarily complex to say we can't contact Facebook but you somehow need to standardize all of these error messages and get them back to the front end. Which in microservice world it's not really the easiest thing to do. We like easy. We don't like hard. This isn't easy. This isn't what they sold us with microservices. But we can actually do better. Assume that our microservice would have a direct connection to a database which in itself is a bit of a weird idea but okay. And assume that we would use a semantic model to talk to that database. Our initial problems in our garden, our initial problems and did we really know how to structure the data? Well we really thought about that data. And that's really where link data plays a role. It plays a role in a totally different field than how we choose business solutions. This has got nothing to do with microservice per se but if we first think about that data model and standardize that data model in a way that we know that we'll be able to cooperate with it with distinct entities then we have something that can work. The link data model works between two totally different entities in different continents producing data which don't necessarily know each other and in the end the data integrates. I guess we can make that work for microservices within one company or across companies within a region. It's not the hardest to do. You get some extra things from that. See, if you embrace a semantic model you actually really know what you're talking about. You have documentation about the fields that you want to talk about. You get functional microservice. All the benefits from functional programming very similar to that. You get that. Because if you basically have, if these are separated that means that you get a front-end call and that asks you to do something. Please register me using Facebook and that microservice has that responsibility. Now it knows how to write it to the database because we have standardized the way of doing that like FORF for instance. We've used FORFs from the beginning and we initially thought it was complex and in the end thought we really needed it so it makes sense. And you get standardized APIs that went through the whole W3 track north against standardized. So if you talk Sparkle for your database you know that people have thought about what expressivity really needs to be in there. This way of working makes it extremely easy to both share microservices between applications because you have the semantic model and that apparently works. It makes it very easy to debug them because they're functional so you can very easy check what happens. People like us will probably be natural but it's something that has to be learned and it's just something we ignore so far. We didn't... Oh yeah, you get these nice fancy pictures too. If you want to explain what data is to non-data people and you show a graph you can actually work with that graph. On the left for instance, these are your microservices that operate. On the left you have a person and you can actually explain that person who goes drinking, uses a bus, has a diploma and some other person has called about a diploma they went to a party together and had a boat trip at the party you can make a whole story about this and even though non-technical people might not necessarily care about linked data the model in itself is expressive enough for them to understand them it was built in order for them to understand it so you get something that you can't actually explain or work with. We didn't set out to be this awesome architecture that would do this and that would actually be productive. The news will go in details but the short history about it is that Erica and I essentially needed to share code and we were really happy with Rails except for the fact that Rails was made terribly complex so we realized that Rails probably wouldn't need a productive thing anymore so we just started searching in what way can we build something with the knowledge that we have that would allow us to share code and we quickly noticed that if you don't know what you want to choose now you basically have to stay light you have to pick something new you have to pick something that can change over time so we knew that a bigger solution one big framework we wouldn't be at the right spot in the right time to choose the right framework so we almost had to go microservices and then we realized if we ever want to share data the only way of doing it really is linked data so the platform in itself basically arrived out of a necessity but it does work and it works well so we built u70 and I'm going to try and explain it in 60 seconds and I'm going into a bit more detail later on because 60 seconds is really short what we went for is user-facing microservice which means that one request from your front-end is handled by one microservice one microservice, exactly and that microservice talks to a triple database where data is shared we use Docker to deploy our services and our front-ends to make it easy to they take care of everything to download, to build, to deploy and everything is integrated in a single-page app which is a JavaScript framework that talks to our microservices and we have very well-known requirements which makes it easy to integrate all these things we built on standards HTTP, JSON, SparkQL and that makes this framework really work so a bit more than 60 seconds I think but as Al already mentioned we really focused on keeping it super simple we aren't all microservice experts we aren't all UI experts and we just want something to get stuff done to build the software we want we don't want to build this super effective complex system that no one understands no, we want to have the freedom to experiment to improve gradually and that is what this framework is about we focus on orthogonal features so that it's easy to mix and match microservices as we need them greatly helps reusability by minimizing requirements our services are very easy to understand and talk about by focusing on this simple mental model it's very easy to work on so what is this mental model? well, for starters we limit the base technologies that each microservice is built on we focused on JSON API which is a very well-written outstandard of how you can build a CRUD REST API the service is talked through HTTP with frontend so JSON API and you spark a well to query and store data in the triple database this provides both restrictions and freedom because we focus on these few technologies it's also very easy to reason about and it's very easy to mix and match things it's truly, truly fantastic fantastically quick to write things because you have these constraints you know you're going to be talking JSON API you know that this is very easy to use in your frontend because you keep using the same APIs and then there's the semantic models in the back end as I mentioned we use spark well but the awesome thing about these semantic models is linked data and linked data always sounds awesome like you can link things and you can find things but what it's really about is that you can also just focus on the part that you understand so take user registration for example we have a service that registers new users and that's all it has to understand users and accounts another service, a login service can link to those accounts and current user session to the account if you look at the triple store it looks a bit like this so at the top you have the triple mentioning that we have a user called Art he has an account and a password and that's all the registration service cares about the login server has a bit more information here we see the session linking to that account and it will of course also validate the password and the username and that's the awesome thing about the semantic model you can focus on the part you are interested in and still have comprehensibility for bigger services, for linking services a huge advantage of using fove in this example but using linked data in general is the ontologies that already exist they are well tall out and we found that for example for fove they are made this good that we can reuse them even for different services we can use the fove model to do just regular username password logins but also to support all out logins or other providers like ACM IDEM which is a provider from the Flemish government so we can have many implementations but still keep the same model I already mentioned Docker so I don't know the hands who is familiar with Docker so about half the room so I'll quickly explain Docker it's actually two things on one hand you have the Docker container which you can just run locally and you can compare it to a lightweight virtual machine a bit like a shrewd it's still sharing the kernel of the host it's a lot lighter than an actual virtual machine and then Docker compose which allows you to combine these different Docker images into a platform and it's very easy to set up to I think I have a small example later on to have small descriptions of your platform you can just run a command it downloads the necessary containers and boots them up so we are hosting of these containers provided by hub.docker.com but if you're interested in Docker just look it up on Docker.com and what we try with NewSeptic is really to reuse everything so I've already mentioned mix and matching so we've built services like login and registration which we can reuse on different projects but we have a lot of them and we can just keep mix and matching but what we also found is that for some projects this is not enough so we started building templates basically a base Docker image which you can start your service on and this greatly reduces the amount of code you need because a template provides all these base technologies that we've defined before so by building your microservice on the template you already have support for SparkUI for JSON API you don't have to think about this yourself it's already provided and then there are some services some patterns that we use while we're doing this a lot and we're not going to build a service every time we need this so we created some configurable services new cell resources is a service that you can provide a model to and it provides a CRUD API for the resources that you define in that model so out of the box JSON API really minutes to set up not more and then for services where we find it useful we've provided Ember add-ons which are like plugins for your frontend that you can just plug in it links directly to the service and provides what you need for example for login no need to think about it just set up the login service include the login add-on and you have login in your application similar one is the data table add-on if you need listing I'm sure everyone has done some data tables in their website or in their application we have an add-on for that so that's also a thing about the resenter stack you don't have to use the entire stack if you stick to these standards so JSON API spark well you can just pick out stuff and use it if you're already doing JSON API feel free to use our data table add-on it will work provided you follow JSON API so a quick look at how this all combines that's a lot of code I'm sorry I know most of us are business people here but let's start at the left we have a base template here so as I mentioned we have templates this is the new Ruby template which provides the basics we need and then I don't know six lines of code not more just doing query and providing that as an API on the right we have the frontend application which will display value returned by our market service and then a small bit that's just the dispatcher I didn't really go into that but of course if you have these microservices you still need to map a request to the specific microservice and that's what we're doing with this patch and on the left you have the docker compose file as I said it's really really small once you have that you can just run one month docker compose up and you will have an application running HelloResult5841 admittedly not the most sexy application but it works and what we find is that if we by using this Emory.js frontend we can build really snappy good looking apps really quickly this is an example of a new cell resources configuration so as I mentioned you just describe your model the one I took here is from the LOD project which is a Flemish project about publishing local legislation and you'll notice here that we have the prefixes of our model so and we have my hand up which has the types of the hand up and it has some properties and some relationships and it has a resource base and we provide it on a specific part and that's really all there is to it once you have this you have a bunch of API calls that you can make and your frontend developers don't even need to know about link data all they get is these specific properties and they can do they can create new resources they can request them but they can also filter them they can include relationships if they want it's all provided by new cell resources so then the add-ons in a bit more detail once we've defined this resource you can just install the ember data table into your application and this bit of code is all you need to display the list of again my print that we had earlier so an example here is about books but the same principle applies just a bit of code we include the component which is similar to a web component if they ever standardize it we will move to web components but for now we're using ember components and a mixing interrupt that's all you need so now that we've built the framework and we've been using it for I think about 2 years now that's correct even longer than that what we noticed is it's extremely productive the services that we've built well it's not all of them the services we've built well are completely reused we've never had this level of reuse before it's very easy for juniors because the linked data space as you may know is a bit hard to get into and by providing this framework we're abstracting that a bit for them I think Hans mentioned in this talk that this freedom of linked data can also be constraining because people have too many possibilities and I think our framework solves that in a bit by providing APIs that they can use so we've had juniors build something extra in a day because they can just focus on their microservice and that they're part of the world that they need to understand the same for frontend developers they don't really need to understand linked data at all of course it helps if they do they can just talk to APIs and that's it customers really like the frontend because we're using MRGS we can build really snappy JavaScript applications which are interactive which work well we work with good designers it also helps and what we found and I think this is the most surprising is that the data performance is actually quite okay we can handle up to 100 concurrent users without issue and we can scale up to more when we start with caching and this caching is also something that's actually fairly easy to include in our application stack the last thing and I personally like that the most about through SymTech is that it makes you very conscious about playing with alternative solutions because you can just mix and match you can just pick out things you need and if you think well perhaps this can be done better in another language or even another paradigm we can just do that we can focus on that one bit we need and play around with it if it doesn't work we just throw it away and put the old thing back or even write something new entirely this is a lot harder when you're focusing on monolithic builds so I really think we solved the microservice space by relying on semantic backings for us it's been tremendous and I hope it will also be tremendous for you now Art is going to make you warm about the future of this yeah so we're kind of reluctant to embrace new things in the stack because we're also afraid that we'll break what we have so far but if you can find out these orthogonal patterns which are if you have a space like mathematical space and you have two orthogonal directions dimensions then they never impact each other so what you want to have is you want to create features in the base framework which you can basically pick and choose and they don't destroy the other features I'll kind of explain if you have reactive programming for instance which is a very nice pattern the idea is that as we write something to the database a certain state arrives based on a certain state you might want to trigger a specific service that tackles some specific problem for instance thinking about it mentally if you write an email to the outbox it's fairly obvious to assume that some service should pick it up and mail it and that's exactly what you can do with that you can send an email or a tweet by writing into the tribal source the nice thing about that is that it's very similar to send out an email and send out a tweet so if your developers basically understand the email case which again is just writing data to the tribal source they can also easily send out emails send out tweets which makes the whole thing easier it also helps with long processing things like for instance you add a dataset and you need a certain set of KPIs key performance indicators to be calculated if that KPI thing takes about 10 minutes then it's very boring to wait for that and definitely shouldn't be triggered from the front end this reactive programming is especially interesting in combination with other things we're working also on performance so we know that the database is now okay but we also know that it's the most tricky thing that's this one single point of failure if it fails it's harder to go away so what we do is we monitor the changes that's also necessary for the reactive programming bit and if you monitor the changes you can also theoretically but we haven't done it write a multiple tribal source so you can have a failover more easily than what you have now with commercial solutions furthermore because we have this we can do caching on specific resources and caching on a specific resource that means that you basically enable a cache and that cache doesn't ever go back to the triple store the certain request is being made this sort of performance really helps us mitigate this potential issue of the triple store lastly we said this is that if we hold all data in this triple store and we hold it in the semantic model and that is consistent and basically all your microservices are very freely combined what it doesn't say though is that there's a requirement that you mirror that data in the structures that you need so if you have a service that basically needs a completely different access pattern than what a triple store can offer you you're okay to mirror that and because you can monitor the changes you can actually mirror that if you have all of this cache then obviously the thing becomes faster but you still have that issue that was made earlier what if we have slow clients we are still loading a single page app and mber.js isn't known to be the smallest it's not a huge framework in terms of how much functionality it offers but it does offer all the functionality there's also something in there which you can enable and that is fast but it does require some physics but fast boot essentially calculates your page on the server side and gives you a view of that page to the client of course now you're just hosting a javascript rendered page which you could have just rendered on the server side and not marked with all these frontend frameworks so what it does then is to generate that page and it rehydrates the page so essentially you wait 3-4 seconds depending on your device if it's really slow device it'll take longer if it's fast one it'll take shorter and then once that whole page has been loaded up and javascript is parsed the whole page becomes interactive that gives us a very fast first page render and it also really helps for pages where we have a lot of read-only pages because most of them can just be cached we're working on authority and this might be one of the more impressive things of what we can do with link data I think all of our services write through one graph in one triple store we basically require you to write sparkle and we guarantee you that we give you back the responses now what if a service could wrap around that sparkle endpoint and it could figure out what your current user can actually access so one of the things that you have with a microservice otherwise imagine you don't that is if two microservice are basically waiting for a certain authorization pattern something that users can see you will not be able to move them across projects unless they use the same pattern but if you do it this way if you solve your authorization in the triple store itself what you actually get is that all of your microservice that you written before are now scoped to your specific user and it has an extra benefit currently in our code we always add these things that we say this is what you need in order to know what the user can access and all of those authorization rules are written in your specific services so basically you know there's going to be an error here or there but you don't necessarily know where if we do this in a specifically configured microservice and in a service that is meant to do authorization then you know that you'll configure it right and you basically know that you have cooler patterns that you can work with afterwards because you know that security is going to be done right and the last one and this one works really well with the other case with the previous one that is interactivity if we have all these building blocks right and we have caching already enabled so if you have caching and you have the invalidation of the cache you know when resources have been updated it's not really complex to do if our frontend also understands and the basic knowledge in our frontend are basically ready for that already if our frontend understands how to update data on screen when the basic model changes then just by sending push updates there's loads of standards for that and APIs for that we can proactively push content to a client and if you combine the proactive pushing which allows you to for instance update the prices of your web shop life for some market if you combine that with the interactivity with the authority you can have applications in which users can cooperate now this is free in terms of developer type it doesn't cause you extra time of course it causes you it's a strain on the server no matter how you change it you will have more content that you'll be keeping in sync and you will have more complex queries but the fact that we can experiment with these applications that we can't play with them today rather than having to spend yet another tender for yet another idea that allows us to experiment with new applications with new types of applications and that's essentially what we're working on in the future with new centers consistent, they're good we know that they're stable for these new things we're experimenting we're figuring out what they do we have running experiments with most of them but we're not necessarily certain if we'll keep them if it turns out that it's hard to work with as developers then it'll probably be removed we have a bunch of links for all sorts of images that we used apparently you have to do that if you do good research so there, there any questions? Probably in the running we have time for one or two questions if you can contain yourselves but if you're not on your own you can probably suggest that we just position ourselves on a table any questions? I think everybody's I think everybody's down please


Almost time for the bell, how many options will you sell? Fire up your platform, get ready to enter But first, let's get the mindset centered Ay, ay, let's go We follow the plan, that's how we get paid Test and trade it, have success Find what works for you and forget the rest Stats and probabilities is what we're about Time to dismiss greed and doubt Focus on the process, not the money And the profits will flow like honey Power our lives, let's start the show Come on trade hackers, get ready to go Zero-day options, time to make bank Get locked and loaded, then be ready to plank Ay Hey everyone, welcome to Power Hour Live Tuesday, November 28th Hope everybody's having a good day I mean, if that song doesn't get you fired up For $5 straddles, I don't know what will So, yeah, I'm gonna skip Trunch One I'll take a look at Trunch Two and Three I may still trade those, but $5 straddle is not for me For Trunch One So, I do have a PM Iron Condor That is working Which is Right here In fact, I need to reduce my stop on that one Six I'm good to go there, I've got a 50% Profit target on that Yes, that is correct, the PM Iron Condor was inverted So we had a little flush We had a rip-roaring rally to start the day Got up to a high of Half percent above the open And then the bond auction took over Actually, the bond auction wasn't until Right here, but we were already kind of coming down before that Little flush, I saw somebody else got smoked on a quiet lunch I did as well Part of that was my fault Because I was actually in the process of going in And reducing my stop manually and trade steward And then it flushed me out, so I didn't even get my stop reduced And I don't know what kind of slippage necessarily I had Because the stop rests at On the trade steward platform, not on toss So it just shows up as a market order in In toss, but my max risk With my initial stop loss on that trade is about 7000 And I got smoked for almost 10k on that one So that didn't feel good Had a couple of little re-entries that got stopped out DKS had some re-entries that hit profit DKS hit first profit target Got stopped out for a small loss on the other one So net net, that was a winner But let's see, I'm down about 8k I made 15k yesterday, gave 8 of it back today So that's no good Yep, yeah, the bond auction So for power hour, I'm just For trunch one, I'm not even going to trade a one lot I just, I can't do it It's just not even worth it Yeah, I'm not going to go inverted I mean, when you're looking at the money straddle Of a little over 5 bucks, I'm just, I have no interest No interest I'll just keep riding my PM iron condor for now And then I may, we'll see what trunch two and three looks like I mean, look at this, 55 straddle for under 5 bucks Or write it, yeah, under 5 dollars That's ridiculous There's just no edge there Not with the current stop loss and everything Risk reward, just way off, not worth it Did add a new time fly today? D's 22 cycle So hopefully eventually we get some two-sided action In the market, also sold some premium in gold If you look at the, gold's been pushing higher If you look at GLD, you can see the implied volatility On the one month indicator is at 100 percentile Ivy percentile on that Annual is at 78, so getting some high implied volatility in gold So sold a little premium, closed out our short strangle in oil We've got OPEC Thursday morning Booked over 25% in just in less than a couple of weeks on that one So just went ahead and took that off Got a hedgehog in ES that tomorrow will be 7DTE We're right at break even Risk graph shows down a couple hundred But we're actually pretty close to even on that one Also entered a single put calendar Put it on a little bit below price Price has come down since then, so now it's pretty centered Also entered a 1, 2 DTE down a little bit on that one Got our 5, 7 That I can either close near the end of day today Or tomorrow That one's up a couple hundred Let me close that by the end of the day We'll see where it's at Anybody taking trunch one Rich is in for trunch one Elliott's in for a four-bagger With 30 minutes early, gotcha So do you go in at a straddle, Elliott? Or still inverted So that would have been probably what the 50 straddle We pushed above today's expected move Got right up to it You can see the max move higher was exactly a half percent Looked like we might be getting into short squeeze territory And then just fell apart I did do some futures trading today I ended up netting about 1,200 And actually technically, I mean just on my trades today It was over 2,000 I had a soybean trade on yesterday And I completely forgot about the grains, close it 1,15 or whatever it is, 1,15, 1,20 And so overnight Once I realized that I was down 1,100 bucks So net and net, booked about 1,200 But I, on my actual trades today Made 600 on the E, 6E on the Euro 300 on MES, 600 on Silver And 765 on Notes Just trading price action 3 entries So got into my first one Which is at 935 835 my time So 5 minutes after the market opens Both of those got stopped out And their trailing stopped So a couple small losses there Then once, so those got stopped out at I wish it had the time on here Let's see, that was the 5035 Let me see, so that would have been So there's my entry 5035, yeah, so we got out there So then turned around and got back in at 47, yeah Yeah, so 2 minutes, I just have it set So takes a break for 2 minutes And then it re-enters Book profits on both of those One was for, hit my 50% profit target One was, hit my stop But it was trailing, so it stopped out for profit And then turned around And got in at 1232 And 102, because it's trading the bottom Treats both of those separately So that one got smoked out in the bond auction flush For minus 3000, that one Plus 605 Oh, and then I just After the bond auction, I just When it re-entered I let it chop around for, and I just closed them out I was just kind of, I was done, I didn't want to I didn't want to mess with that price action So I just closed those out And then I'm in my PM iron condor right now This is my only auto trade on So that's, so If you look at the back test, I mean It trades, I mean Really more Really usually not more than three But with the, with the bot Because they're Technically two separate things It'll I do like a half position on each of the bots And so it's kind of It's kind of like two half positions Rotating in and out No, I have an odd crush Yeah, this whole bond auction thing Volatility around the bond auctions is a new Little bit of a new phenomenon So I've got a note to Start keeping a closer eye on those I did not, I was not aware of this one today Yeah, it's on the financial juice Calendar as well I just wasn't even thinking about it SPX tried to pop up above Where it hit on a Day before Thanksgiving and then Retreated back down Hopefully it's putting it in the top That'd be something Well my five seven was rocking earlier When the market was going up Which is interesting Let's see, that's 45, 20, 45, 90 Let's see, I got into this one at 905 Yeah, so when the market was going up That one was doing good Let's kind of come back Into a little bit of the sag Let me keep that one till tomorrow See if it wants to push out of the valley So far during power hour Chop in between 50 and 55 Yeah, 230, 30 minutes before the market closes FOMC member Barr is speaking Due to participate in a fireside chat About the Community Reinvestment Act Had an online event hosted by Opportunity Finance Network Another fireside chat You know how we love those Alright, few minutes until trunch two Yeah, I can't do that You can go inverted Or you can get 60, 470 Yeah, just not interested in that Getting $4.20 on a straddle Them, theirs, trunch three types Premiums, Elliott Why am I adverse Why am I adverse to ratio On pH? Not sure I understand your question there You might want to translate that one for me, Krish Ratio TARD? I'm not familiar with the old ratio TARD I haven't found that it tests Better I feel like a TARD hacker with these premiums I can't say TARD anymore Gosh, what's this world coming to? Alright, so $4.20 Who's going in for $4.20 on trunch two? That's good, Ken, that's good I like it And if there's anyone here who has children With a mental illness, this is not against them This is The word retard The definition is slow learner So if I call Krish a retard Has nothing to do with real mental illness So don't send me any emails or DMs Well, if you got thin skin, you're probably not going to make it with this group So, sorry about that Look at this, prices at $45.50 We're talking about $3.80 Right here at trunch two No bueno Yeah, well, tomorrow that's what happens When we have nothing to do We start talking about shit like that Give me some volatility We'll get back to politically correct Speeches I mean, you know, I was searching high I found gold That had high implied volatility I fell out of my seat when I saw that It's like, holy moly, there's some premium to sell I didn't know what to do with myself Oh, tomorrow I was thinking about you the other day Yesterday No, Sunday Sunday night Did you happen to catch this recent 60 minutes episode? There was a segment One of the segments was on climbing And it's this group That does this climbing In Austria So I figured you'd been there And it's a group that basically Gets people who have some have had some type of like Trauma Like they had a group of people who's You know, spouses or somebody who had died In the Ukraine war So they're like Ukrainian spouses and kids And they take them on these Climbing trips And they're just I guess they're seeing some pretty Pretty awesome results just in helping people You know, get over Some of their grief a little bit By kind of, you know Doing something that's extraordinarily hard That they wouldn't normally do Um No, no, not a dream Maro I haven't had a dream I haven't had you in my dreams yet Yeah, these were complete I mean, these were kids and These were complete rookies But there was a There was like a, I don't know if you There's like a wall Like a huge dam wall That they had set up for Kind of like mountain climbing training You know, they put the Little hand and feet Deals, whatever you call them Obviously I'm not a climber Holds, yes, thank you Anyway, it's kind of a cool episode Um If you can find it I mean, you'd probably laugh at the people Doing it, but The reality is it's a It sounds like it's a program That's doing a lot of good for people You know, meet the hand and foot deals You know what I'm talking about All right, Bumblebee's got a real trading question Steve, regarding the GC strangle I could not find the same premium on Tasty As you did on TOS So the different brokers Always they They display the option expiration cycles differently So whereas if you were looking at my Pasted trade You know, in TOS they say March Uh, in Tasty I think they call it February Or April maybe, anyway But I always put the DTE At least I think I did Let me make sure 90 DTE, yeah So if you go to the 90 DTE In Tasty, don't pay attention to the Displayed month of that cycle Go to the DTE that I mentioned And it should be Should be right Yeah, Dark Vendor said he just got filled at 1870 All right, a few minutes till Tronche 3 Can we get somewhere close to 4 bucks? Is that going to be, is that a thing anymore? Good yesterday Not too shabby No, no, no chance of a strangle but And we're getting a little fleshy A little fleshy My PMI and Condor didn't want to fleshy Yeah, I'm just going to stay out I'm going to stay out of all Tronches You know the last time, well I guess a couple weeks ago I stayed out of Power Hour Because I had a meeting and I couldn't do it But the last time I was in front of my computer And I stayed out of Power Hour I don't remember the last time Maybe March of last year March of this year February maybe Just doesn't feel right Doesn't feel right I need a few point bounce White Tiger So what I'm gathering This is kind of rare occurrence Where Vix is so low Makes it hard to sell options How do you think this stretch will last? Yeah, so I mean everyday Everyday expirations have not Have only been available since May of last year And this is never, we've never seen this Since that period I don't know if you were on here yesterday But I was talking about 2017 And in 2017 I don't remember exactly what I was doing When there was Friday options I remember doing a little bit of zero DTE Monday was a Friday dabbling a little bit But this is 2017 I mean you had periods Where the market just didn't move at all I mean these are 10, 20 point ranges Over the course of a month I mean that was brutal There was no premium to sell There was literally nothing to do So it would have these periods It would grind higher It would grind sideways It would grind higher, grind sideways And especially towards the end of the year I mean it was literally just a Grind higher Finally in the beginning of 2018 Things got shaken up a little bit But during that same period If you look at the Vix Vix got down to 8.5 We're at 12.5 right now And it's terrible So could it get worse?  You got in 30 minutes before I assume you're in the 50s so you might be okay The old fed beige book Tomorrow's Wednesday so we got preliminary GDP pre-market Beige book at 1pm central Thursday all day OPEC meeting Pre-market core PCE price index And unemployment claims Powell is on the calendar twice now He got added to another speech on Friday Speaks at 10am and 1pm So the 10am is due to participate In a fireside chat Tiled navigating pathways To economic mobility at Spellman College That's what I thought I read before The 1pm Due to participate in a round table discussion At Spellman College in Atlanta So we got a fireside chat In a round table discussion With Jerome On Friday So it looks like Tronch 1 You got in right at the top so you probably Would have got smoked out of Tronch 1 Chris did you say you got stopped out? Oh yeah you did Be more trader Do you ever change from a normal day To an up day or down day after starting power hour If the move is sitting right at the threshold Yeah so the way that I have my The way that I have my bot set up for that is So for the normal day If we are Down 0.59% Up to 0.49% It would trigger the normal day And if it's down 0.6% To 1.2 lower That would be the down day 0.5% higher That would be the up day So I did have it just 0.6 and 0.5 And then somebody pointed it out to me that Hey it could trigger both If it's right on the bubble So I went 2 decimal points out To differentiate those Yeah so well so I have that I have that for Tronch 1 Tronch 2 and Tronch 3 So I have 9 different bots Tronch 1, 2 and 3 Up day, down day, normal day So whatever, wherever it's at At the time of entry On that particular tronch is the one that it would do Because that's what the back test is doing Right it's based on the entry time Good question Alright it's still 27 minutes to go My PM iron condor could use a little Few point bounce Oh that's cool I like the little color coding Nice Yeah I appreciate you sharing that's cool That my friends is the reason we got to all Create our own deal Is the way that I look at You know I like the way that I have My spreadsheet setup because I set it up And that's the way my brain works Whereas You know you looking at mine You know kind of confusing And you know trying to figure things out Part you know part of the reason obviously Is because I put it together Step by step and it's evolved Over the months So that's obviously part of it But yeah that's awesome You all got to do things that kind of Make the most sense to us So if you're by the way if you're new here And you haven't jumped into the trade plans Channel And checked out some of the awesome trade plans That other folks in this community have Presented It's pretty awesome I implemented At least one thing from every single one of Those trade plan presentations And by the way as You all evolve If there's anybody who Wants to Present how they're trading Once you've been doing it for a while And it doesn't mean you have to Be Successful yet either Just has to do with if you think You're doing something that would Provide value to anyone else I mean it could be you know You could be fairly new But if you have a different way of doing things That you've been doing That you think would provide value for anyone Feel free to reach out to me We'd love to That's what this community is about Just sharing ideas Helping each other get better Trading strategy, a process, whatever it might be Yeah And that's Okay to be more I mean there's been plenty of Successful trading going on before Option Omega was around Right I mean People didn't just become successful Once the back testing Once the back tester was here So it's I mean it's for me I had dabbled in zero DTE And I never really had a clear I never really had a clear plan Or you know confidence in Option Omega certainly was a huge Game changer for me and I know for a lot of people But You know there's a lot of different ways to trade That in fact I mean I trade a lot of strategies that are not back test driven SPX at 45 48 Bitcoin peaking back up towards 39,000 I haven't heard anything about the BlackRock Bitcoin ETF lately The gold pushing as well Is that the all time high in gold 2089 Let's see here 2089, wow It's coming, we're coming for you 2089 36 points away from all time highs in gold In your yield Pushed above 5 briefly Now down to 4.33 Lock in your mortgages Ladies and gents Lock in So that must mean, so there's longer dated I don't have one on Feesh, but that means Those longer dated calls are getting Pounded faster than your vertical, huh Yeah, you can see the February Implied volatility And the February options in gold are at 14.27 41 days are at 13 But then 28 days are at 14.3 That's That's not really a Cool 55 is my sweet spot for my PM Iron Condor Profit target is 50% Currently at 26 Yeah, my Tuesday PM Iron Condor set up The only filter it had on it was a Gap down That's on my November plan Should I take my 50% If it hits or should I Try to squeeze some more out here I'm just gonna take my 50% Push up, a little more push up Yes, 0.7 is A bigger gap than 0.11 Not 0.07 0.7, you gotta work your decimals Alright, a couple more points Up, and I should hit my profit target 15 minutes to go Early indication, market on Closing balance, 107 million Sell side Oh yeah, I have those days, Elliot I mean, honestly, that's One of the One of the reasons I'm liking the Trade Steward because it helps Minimize that, although the trailing stop Issues They need to do something about that Quickly, good night Lesoza, a little bit higher Oh, it's going off 50% But it's inverted That's why it hasn't hit yet That's right, we'll take it The best way to get Smoked in power hour is also To go without stops So for those of you in the 5.7 DTE double calendar, I'm going to Go ahead and hold that till tomorrow It tests pretty similar taking it off At 1 DTE or 0 DTE So I'm just going to hold Slightly profitable, but If we get any kind of a move tomorrow Up or down should be able to book more We're going to get 50% here On this PM iron condor Currently at 42% Just need a little bit more of a push up A little over 10 minutes to go Orders at 12.35 Spreads currently trading at 14.50 It's trying It's trying for me 13.60 13.30 Really pushing Push too much Back off Right there 45.55 That was all skill Dark Avenger That's just how I wrote it up 3.4 billion buy side That's what kicked in Like the smart thing to do here Is going to be to close This one out here in a couple of minutes So you're saying there's a chance tomorrow So you're saying there's a chance Alright I'm getting close to bailing here Feels like there's Too much juice left in here Alright, Meach says let it ride I'll let it ride It's currently trading at 13.00 Profit target's at 12.35 Up to 15 And now I need another bounce 5.5 minutes to go I'm going to adjust my profit target To 45% It's currently at 44 There's a little bounce coming in Can we hit it? Hit 13.45 Nice That helps Alright my friends I was going to take it off at 5.0 anyway Alright my friends Have a fantastic Evening Just for live streams Tomorrow is the Wednesday the 29th So I'll be streaming live in the morning And then we'll be back for Power Hour Hopefully the market crashes overnight And VIX is at 30 When we wake up Dream about it Maybe it'll happen Alright all take care Have a good night


I'm a queen of racing through things, so I probably won't take it very long at all. But I'll try and keep the energy up for you as much as possible. So my name is Michelle Tuher and I'm from NUY Galway, who are the lead partner on this project, collaborative knowledge exchange for learning impact. We are partnering with Dublin City University, University of Limerick and Mary Toulanae. We are currently working on trainingаков that will make that asham, a aam, as Mae'r ddwyllio ar gyfer Ysgol Llywodraeth, Llywodraeth Llywodraeth, Llywodraeth Llywodraeth, Meri-Maclwch Llywodraeth, Llywodraeth, ac dwi'n'n gwneud i ddim yn dweud. A y ffordd, mae'n dweud i'n ceisio i'r ddechrau, sy'n ein gweithio bod ddweudwn ni'n dweud, sy'n dweud i'n dweud i'r dweud. Yr unig o'r ysgolwch yn ysgolwch ar y rhan o'r ffordd'r ysgolwch sy'n meddylu ar gyfer y ddechrau, yn ymwneud o gwaith systamol yn ei gweithio'r gwaith. Yn ystod hynny'n gweldio'r ffordd y cyfnodol o'r fforddau sydd wedi bod ni'n gweithio, ac mae'r ideaeth yw'r amlwgr yn gweithio'r ddweud a'r ddechrau yn yr unig i'w ddangosol a ddefnyddio'r cyfathu digital, yw yma wedi bod yn ymgyrch yn ei ddweud. Mae'r gwneud hynny yn cael ei gwaith i'r gwasanaethau. ..a'r ddweud yn ymdilyn. Fyddwn i ddwy argymwyno... ..ynddo'r ein dyn ni'n gweithio lle.. ..yna'r ddweud yn ymgyrchol yn y ffordd... ..yna'r four yn y rhai rolygaid... ..rydych chi'n hyn yn fynd... ..yna'r ddweud yn ymgyrchol yn gyfweld... ..yna'r ddweud yn ddweud yn ymwynghwyl... ..yna'r ffordd yw'r gweithio'n cyffredinol... ..yna'r ddweud yn ymgyrchol... Lleonelol ynchgyrchu, mae'r ddylayddau i'r ddielu i'r ymerchafol, a wrth gael bod dros ymddiad, byddai'n gweithio'r decidedau i gael eich adrwntau trafnodol er fyddai'n mynd ar y wneud. Gweithio'r ddeud hynny yn dda i'r ymddiad o'r ffordd cyfkidsbethau yn ôl iawn, ddiddordeb ar y cair neu'r amser. based on an institutional needs analysis or needs analysis within each of the institutions. We want to help ensure that our heads are up to speed on key policies, on good practice and research and teaching and learning and technology. And in doing that build their confidence as leaders in these contexts. We want to provide them with accessible resources. We're very conscious that they are time pure, poor policies. So, you know, we recognize the need for something that's flexible and conscious of the fact that they are time poor. And we also feel the need to be quite pragmatic in our approach in order to engage them as much as we possibly can. So, we very much welcomed the call because we felt that what we want really aligns with what the call wants. And we also thought it was a really, really good opportunity for people from teaching and learning centres like myself and also from staff development centres and H.O.R. and the institutions to work together, which doesn't often happen or doesn't always happen. We're together to engage these people and to help support them in terms of their continuing professional development within the two key aims or the two key domains of teaching and learning enhancement and building digital capacity. So, our aims, the key aims of the project are we want to develop a kind of a fresh approach to professional development. And the freshness will come in the way that we plan on it being very collaborative and collegial. We want the people to work together to build networks to share experience. We want to balance the strategic initiatives with the real-world challenges that they are facing on a day-to-day basis. We want to design it in a way that ensures the maximum uptake, which is why we are coming at it from a very pragmatic way so that it's developed to the needs of the people that we're trying to engage. And, of course, we plan on evaluating it the whole way along and looking at ways that we can develop a sustainable and scalable model. It's key that we build networks of experience, that the people we're trying to engage get to work together, work with each other within and across institutions and work with us. And it's a great way for us to build up valuable relationships with those people as well. And then also we want to look at the resources that are out there, augment them and pull them together so that we can make sure that they are widely used and widely disseminated. And then, of course, our overarching aim is to develop leadership in the domains of digital capacity and the enhancement of teaching and learning. So in terms of how we will do it, the plan that we have here, and it looks quite linear there, but it won't happen in a linear fashion. All of these phases, we'll call them, of which we've identified four key phases. They will overlap, some of them will happen in tandem, and evaluation will persist the whole way through the project. The way we see it happening is an initial kind of scoping exercise. And in fact, we did, when we were considering whether to put in for the call in the first place in the lead institution, and now anyway, go away, we contacted our 16 heads of schools and our five deans. And the 14, 15 of the 16 heads responded to the email, which meant they read the email, and they replied to the email, which in itself was actually really, really positive, and they responded in a very positive way. They were very keen to engage, they very much respected, and were very appreciative of the fact that we were talking to them first, and that we were looking at them so that we could find out what it is that they need, and then we could adapt our approach to them. And four of the five deans also responded positively, so we took great heart in this, and this kind of propelled us forward. So what we would do is we would build on this, and in each of the institutions we would do a similar call in the first place just to see how people would like to go forward with this, and then we would look at more kind of in-depth scoping. We would organise small group interviews with the people we're trying to engage with the heads, with the deans, and find out what it is they perceive their individual challenges to be. This would be the start of a dialogue that we would hope would persist through the whole project and beyond. It would be the start of relationships within the institutions with those key members, but also with ourselves in the roles that we have in our institutions. We would look at how we would align their needs with our aims, with the aims of the national forum, with the professional development framework, which is very important. And from there then we would look at designing a kind of a curriculum. So that would involve identifying expert speakers who already have expertise in the areas that are a priority and the challenges that are being faced. We would arrange workshops and networking events, and we would build resource packs. There's already a wealth of resources out there, and we recognise that. It's important that we capitalise on those and we pull them together. Often, heads of schools, they don't necessarily know the resources are there, and they don't have the time to go find them. They're not always aware that there are things there to help them in their roles. A key to this project would be part of that, disseminating this, almost maybe sometimes translating it, taking away some of the jargon for them, and developing their vocabulary as we go along. Delivery then would build on that, delivering these professional development events. Cognisant of the fact that these people are time poor. We would try and find ways that would make the best use of their time, and they'd be very targeted as much as possible. Stimulating participation, stimulating discussion, embedding feedback throughout, and fostering this idea of networking. One of the things that came back from our initial scoping was that the heads were very keen just to get together for a chance to talk about this stuff, which they don't always get. It's not often on their agenda. Then, of course, the whole way through, we're looking at evaluating it, refining it, and seeing how it's going in the hope that we can develop a kind of a sustainable model. We have some example topics, and these have come from, these are projects that are already in existence. There's resources on them. Some of them are national forum projects. Some of them come from the UK or internationally. These are some of the topics that we would see are key to teaching and learning and digital capacity. We would be keen to align these with the kinds of issues that are coming up when we are doing our needs analysis. We wouldn't be addressing all of these. This is a kind of a matrix. We would prioritize as we go out and speak to the institutions and find out what it is they need to know. I'm not going to talk to each of these, but we have a really nice, diverse team. For each of these, there is one person on our team who has been involved in some way or another or will be involved in some way or another with these projects. We do have that expertise, or we have links to that expertise already, which is a really, really good start. All sounds great, but how are we going to do it? Really. Part of this is, I suppose, addressing what we are spending the money on. We would need to employ a coordinator for this. That person would work with the team. They would be a shared resource amongst all the institutions, but they would have a home probably in the lead institution. They would go out to each of the institutions, conduct these group interviews and do the survey of needs. We would envisage them, of course, and I should have mentioned this earlier, that the student voice is important, and that was something that came back in your feedback. We would see them liaising with student representatives, see them meeting with the education officers, and that those student representatives would have involvement in the project throughout in some of the interviews, and then also later on in the events that were organised. We would collate and mine the responses then from this initial scoping and align that with the supports and the development required, the existing supports and resources that are out there, identifying the experts that would help with, you know, come over, talk to the members and the groups. Then they would also develop this kind of curriculum, coordinate the events, curate all the resources. They've got a lot of work to do. Develop the resource packs. Of course, I'm all the time aligning to the professional framework. Actually, I completely forgot. I have little handouts, and I do have one for everyone in the audience, because the audience is so well-defeated. But it does have that matrix that I mentioned, but it also shows where we're mapping to the framework, because I didn't want to bombard the slides. Two more minutes, please. Yes, we would make sure to publish all our outputs under an appropriate open licence. It's very important that anything that is output from the project is free to use and share. Of course, the events that we would organise, they would be recorded, they would be streamed. We would also see ourselves creating podcasts, interviews with some of our experts' videos, and making them available online. In terms of the outputs, and maybe this addresses in some respect the value from money, is what is coming out of this. We would have shared seminars and resources as much as possible. We do have to be aware of the fact that these people are time poor. Travel may not always be... We may not always be able to arrange that, but we would make sure that if we had experts coming, we would try and negotiate it that they may visit a couple of institutions, or that we would stream some of the activities, have online forums where possible, and try and engage people in this way. We would have these resource packs, which would consist of key briefing papers, literature reviews. There's a lot of literature out there. Try and review that, have those key readings for our audience, and practical tools, audit tools that would help them in their planning, and looking at things like student retention, looking at the tools that are available to help them that they don't always know are there. In terms of impact then, speeding along, I won't talk to all of them, but we do see the potential impact.  Their reach is far reaching in terms of the academics that they are dealing with, who are doing a lot of really good stuff, but it's not always clear that what they're doing is supported by a huge body of research and scholarship, and the National Forum, and also that eventually we would see, hopefully that in terms of student experience, the teaching and learning practice would be enhanced, the value of it would be seen, and this would filter and trickle down to the students, and I'll stop because of that. Thank you.