The Ising Exchange interaction is a limiting case of strong exchange anisotropy and represents a key property of many magnetic materials, with necessary and sufficient conditions established for metal sites with unquenched orbital moments. It can be of two types, coaxial or non-coaxial, with magnetic moments directed along the anisotropy axes on the metal sites or with arbitrary orientation of one of the magnetic moments. These findings will contribute to purposeful design of lanthanide and actonide-based materials. This article was authored by Leavu F. Chibotaru and Naoya Iwahara.


going on, everyone. Sam here, late in sports cards, Ripon 2022, Topscrone Black, hobby, 12 box case, number 18. This is baseball, random teams. So look again at your random results. As always, you can find these on the website under the results tab, as well as the link in the chat. So good luck here, everybody. Let's go ahead and do it. Full case, oh, Topscrone Black. Box one, good luck. See what we got, guys. Still got a couple spots to go in triple threads. Pick your team. Coming up, not after this break, but the break after. Topscely, Alec Bohn, Louis Heel rookie, and Green Atomic Max Scherzer, 51 out of 99 for the Mets. There you go, Stephen Jay. Stephen Jay with the Mets. And first auto. Gonna be going to Houston. Jeff Bagwell. That's awesome, man. Congrats on that. There we go, Houston. One of the killer bees. Not numbered. There you go, Eric R. I'd love to pull you Ripon. That'd be so sick, Kyle. Once you got Mount Castle, Eddie Murray's in it. Cedric Mullins has cards. There's a few other Orioles in there, too. Orioles aren't a bad team. They're like a low-key, pretty decent team, actually. Obviously, Cal is your main chase, but Bryson Stott rookie. JD Martinez. Purple Minidiamonds is Jose Altuve. It's 150. Yeah, Frank Robinson. He's got autos. Yeah, I agree with that, Jimmy. Always has good autos in here. Good bats, good rookies. Jose Altuve. So far, the Astros are sweeping right now. There you go, Eric. Congrats, man. Not numbered on the Altuve. Hold on until my buzzer off really quick. Oh, man. Again, TikTok. Link in bio. LaytonSportsGards.com. Go to break schedule, LSC main to get into breaks, or go to personals to get personal boxes. Rip later tonight. What's up, Kurt? Ooh, got a nice Jim Rice. That's awesome, dude. I appreciate that, Kurt. What's going on, man? Acuña. Badal Bruhan rookie. True, true, true, Ditto. And Ryan Mount Castle. It's $1.99 for the Orioles. Listen, honestly, at this point, I don't hate the Astros won this World Series legit. Can't take anything away from them at this point. I'm okay with the Astros now. We've got Joe Carter to $150 on the Refractor Auto. Nice one there, Blue Jays. Grats on that. Blue Jays. Bluebirds to $150. Jeez. There's Matt Manning, rookie. Brian De La Cruz, rookie. And Wilson Treas, green to $99. $97 out of $99. This is a break right here, Redding. This is a group break. Group break. Got a gold coming up. Oh, 20 for Rez. 25 out of 50. Part of the big red machine. Here you go, Sinti. Nice one there for the Reds. From the physics of it. Shane Boss. Brandon Marsh, variation rookie for the Phillies. And Nick Madrigal to $1.99, Nick Madrigal. Yeah, it's kind of similar. I'm from Connecticut. That happened to the Civic Center in Hartford, too. We've got Vidal Barouhan, that's going to the Rez to $150. Probably. No, the snow collapsed. Yeah, too much. It was like a snow storm and it just caved in. Kind of happened in the Biking Stadium. It happened a few years ago or something. Yeah. That just happened to somebody? No, someone was talking about how it happened to Packers. He was like, I didn't like that it happened, but I was more fascinated by the physics of it. Shelly, it's a group break. Kyle Tucker, there's gold Rhine Mountain Castle to $50. So it was, I think, $70 a spot. Gets you a random team. Nice one there. And then we've got, that's Super Fracter. Yeah, Super Fracter.  Yup. Alex Kirolov. One of the twins. There you go, Darren B. Congrats. One of one. Kirolov. So cool, man. Super Fracter. Congrats on that one, Darren. Beautiful card. Let's go. Mag the Mag. I know, sick. Sorry, man. At least, to be honest, so at least it wasn't, it was like it was its own case. You know what I mean? It wasn't like boxes that were in a mixer. What's coming up next? Stephen Kwan, rookie hit the Kwan. And Marcus Simeon, that is 2199. That's true. That's true. Got rookie, green Kyle Muller going to the Braves. That's 93 out of 99 on the rookie auto, green. Braves, Atlanta is Jordan now. Jordan. That's true. That's a good way of looking at it. It's a good positive outlook right there. Good positive outlook. Trade turner. Christian Bache. There's Jose Altuve, green to 99. Nice one there for the Astros. And rookie of Cal Raleigh. Big dumper going out to the Mariners. Congrats on that. Seattle. Seattle. Just Kevin Smith. Kevin Smith, one of one. That's your big PC right there, Kyle. These are top chrome black right here. Top chrome black. Jeremy Pena on the rookie. Kevin Smith, the origin's auto. There we go. On the same page. Reed Dettmers, that is number 20 out of 50. Gold, many diamonds. And Steve Garvey, going to the Dodgers. Nice one there, LA. Steve Garvey. Big Kevin Smith guy. Oh, Justin Fields is in TikTok. Yeah, you are trash. What was that? 1,000 rushing yards this year though. What's going on? Doesn't matter. T-R-A-S. Future coming up here, Josh Lowe. Fernando Tates. And future Rafael Devers. That's five of ten going to the Red Sox. Nice one there. Gold, many diamonds. Otto Larry Walker, 44 out of 50. Nice one there for the Rockies. Colorado, Robert A. Congrats, buddy. Yeah, so am I. Am I? Hey, real quick, you got five seconds to answer this. Where's your sister go to college? Mr. Fields. Should be quick. Gotta be quicker than that. Don't Google it. Okay, you're not here.  Ed, C.J. Abrams rookie. Mackenzie Gore rookie. And Kyle Lewis, refractor 2199. And we've got Andrew Vaughn for the White Sox. Nice one there. Chicago, Eric R. Southside. Kevin Smith doesn't have autos in Chrome Black. Well, they'll make him one Orioles card. Never even played for the Orioles, but you'll pull that one. Mike Trout. There's a blue Lubeb to 150, now to 75. And purple and many diamonds, the 150 bar in Buxton. And last card of the break, rookie Otto is C.J. Abrams. Going to the Padres. Nice way to close it out, San Diego. What up, worm? San Diego is Darren B. Darren A. right here. Darren pulled the super and the, this one right here, the Abrams. Real quick recap here, guys. We've got C.J. Abrams, that's Andrew Vaughn, Steve Garvey, Kyle Raleigh, Jose Altuva. It's actually a pretty solid break. Jeff Bagwell, Joe Carter to 150, but all Bruhan to 150. Kyle Muller to 99. Larry Walker to 50. Tony Perez to 50. And one of one superfractor is Alex Guerlot. There you go. Congrats again on that one. That'll do it for the break, guys. Thanks again for the fill. Next up, we've got another top scone black.


Hybrid water electrolysis is a promising technology for the production of hydrogen from renewable sources such as solar and wind power. However, there are several challenges associated with its implementation, including the need for high-performance catalysts, the potential for contamination by impurities, and the difficulty of achieving the necessary levels of activity and selectivity. These challenges must be addressed before the technology can be used commercially. This article was authored by Tilk Hallstorf, J. Nicholas Hausmann, Tobias Sondheimer, and others.


That have been given to the Department of Defense by through the National Security Council By the president of the United States and the president has made that clear. I quoted from his statement. This will be reviewed But I think on this basis there is some slippage There was a slippage of six to seven months just on the construction last year, but Johnny would you comment on that? Yes, we have stretched out the program and there was an initial delay as the secretary mentioned We do have a projected new date for the completion of the 12 sites where we to go ahead on the current plan The date for the completion, however, has not been announced in unclassified forms You look very happy We have had some criticism already about Senator Pastore and Senator Jackson Senator Pastore, as you know, says he feels we should rest on the two sites of talent and construction and complete those before we expand the program Senator Jackson has expressed doubt about the necessity of hearing up for defense against the Chinese Do you have any comment on that and do you feel that you may have a difficulty battle over the expanded AVM this year as you did over starting up last year? Well, I don't want to underestimate the We're going to do the best job we can in convincing the Congress to support the president's program As far as Senator Jackson's comments, he made those clear in the committee meeting today I'd rather have, I think, his statement that he has released this noon speaks very clearly and indicates that he supports the Minuteman protection and perhaps he would have gone with one more site But we have a modified phase program Senator Pastore was at the committee today and questioned me at some length His questioning, I believe you should ask him about this but his questioning ran along the lines of the priorities within government and I know Senator Pastore, well, we both happened to serve on the Defense Appropriations Committee and the Health Education and Welfare Committee and I understand his concern but I think we're doing a pretty good job in recognizing those other priorities and I tried to explain our recognition of the priorities in the other fields in the domestic fields as adequately as I could in the committee hearings today In terms we can use, how would you compare the American AVM developments during the past year with the Soviet developments? I believe that we are, from the standpoint of the technology of the anti-ballistic missile system that we are ahead of the Soviet Union and I believe that that is one of the reasons that in all the reports we received from Helsinki they indicated a great deal of interest in this and I believe that it's one of the most important bargaining tools we have as far as the solved discussions are concerned


I have a really good friend named James Lawrence who's known as the Iron Cowboy. A few years ago he set out to complete 50 Iron Man triathlons in 50 days in 50 different states. James and I have had the opportunity to travel and speak together and one of the biggest questions that he receives on his tours is how? How did he prepare for it? How did he keep this incredible endurance up not only just for one day but for 50 consecutive days? His answer is always the same. He says I did small things consistently over a long period of time. That kind of simplicity is deeply profound especially when it comes to mentorship and mentoring others. If you can maintain a focus on mentoring your employees toward greater success rather than just managing them you will see these small opportunities arise and just like my friend the Iron Cowboy you will see those small single steps build into something that's remarkable.


Hello, everyone. Welcome to this presentation. My name is Chien Chien Tan. This presentation is prepared as a pre-recorded video for Eurocrate 2021. The title of this talk is a deeper look at machine learning-based cryptanalysis. This is a joint work with Adrian Benamira, David Geron, Thomas Perian, and myself. I will be presenting for the first half and Adrian will be presenting for the next half. This talk is divided into 3 main parts. The first part will be the preliminaries where we will talk about the background work required to understand this presentation. In particular, a previous work in crypto 19 by Aaron Gore. The next part will explore the intuition of Gore's neuro-distinguishers from a cryptanalysis perspective. Lastly, we will focus on how we can mix a machine learning pipeline and traditional cryptanalysis to replace the neuro-distinguishers. This is the wrong function of the speck cipher. Speck is an ARX cipher and has a physter-like structure. The S-functions over here represents the bitwise rotations. L4 and betas are parameters that changes depending on the block size. The bulk plus over here represents the modulo addition by 212N. And since for the sake of this presentation, we are only focusing on the smallest cipher in the speck family. We will fix the block size to be 32, and therefore the alpha and beta to be 7 and 2. Note that for speck cipher, the DDT is usually too large to be constructed. One autumn div will be to approximate a DDT experimentally by keeping the higher probable differences only. In crypto 2019, Aaron Gore publish a paper called Improving Attacks on Wrong Reduce Speck 32 using deep learning. We will summarise the main points that are relevant to this presentation. Firstly, Gore created a new level architecture and trained them to be neuro-distinguishers for video rounds of speck. Essentially, the aim of the deep-level distinguisher is to distinguish ciphertex that come from plain text pairs with a fixed input difference as opposed to those that come from a random input difference. Gore did a comparison with his pure differential distinguisher which are actually large DDT that spans for n rounds. The neuro-distinguishers did a better job for all 5s to 8 rounds. One notable result that Gore has is that he improved significantly the time complexity of the 11 round key recovery attack compared to the previous best formed by Denier in sec 2014. This is the structure of Gore's neuro-distinguisher. The input to the distinguisher is a pair of ciphertex encoded in binary. It passes through multiple convoluted blocks before moving on to the prediction head and eventually outputting a single value in between 0 and 1. This is also the score that the neuro-distinguisher is giving the ciphertex pair. If the score is more than or equals to 0.5, it will be considered as rear or comes from the fixed input difference. Otherwise, it's considered as random. These are the results of Gore's pure differential distinguisher PDD and neuro-distinguishers ND. You can see that for each round the NDs are actually performing better than the PDDs. Now, we move on to the next part. In this part we aim to explore 2 questions. The first would be what type of cryptanalysis is Gore's neuro-distinguishers learning? And the second can we actually replicate the results without using the neural network but using techniques that cryptanalysis are more familiar with? To answer the first question we have to conduct multiple experiments in an attempt to reverse engineer what the neuro-distinguishers are looking out for. For the ciphertex pairs Gore used and neuro-distinguishers they come from plaintex pairs with this particular input difference having just a single active bit on the left part. While this is the best input difference for differential characteristics for 3 and 4 rounds of the spec round function it is not for the case of 5 rounds. For 5 rounds the best differential characteristic starts from this particular input difference. As a first tribe we retrain Gore's neuro-distinguisher using this particular input difference. The accuracy was around 76% compared to 93% in the 5 round case. This is actually quite counter-intuitive as we will expect the best differential characteristic will yield the same if not better results. The next experiment we did was to ensure a fair play between the pure differential distinguishes and neuro-distinguishers. Since a DDT only assess the difference and nothing else then the neuro-distinguisher should only have access to the difference only as well. Therefore we retrain the neuro-distinguisher with just the difference instead of the entire self-tax pair. The accuracy in this case fell by a few percentages. This means that while the bulk of the cases may be explained by the output difference distribution some of them have to be explained in some other manner. With that we decided to do some sort of reverse engineering based on the scores that the neuro-distinguisher is giving. In this case we want to know if a strong difference would mean everything to the neuro-distinguisher. In this case we will send multiple self-tax pairs into the neuro-distinguisher and then repartition them based on the scores. In particular we will focus on the ones as well as the ones that are very low score into the buckets G and B. Next we copied the difference for each self-tax and then we record down the top 1000 common differences. For each of these differences we will again create a set of 1000 random pairs with this particular difference and we put into the set Di. Then for every one of them we send them through the neuro-distinguisher once again. Essentially at the very last phase we are sending a total of 1 million random pairs that come from 1000 unique differences. Here are the results for the experiment. For each given difference that is if you look into each Di about 3 quarter of the self-tax pairs have a score that is more than 0.5. However we also do note that there are some exceptions that only have about 38% having a score that is more than 0.5. Intuitively we will be expecting a decreasing percentage trend as we go from the most common difference to the least common difference. However this is not the case that we observe. Therefore we cannot really say that if a difference is more probable then the neuro-distinguisher is more likely to recognize it. Next we repeat the experiment with some changes. The changes are also highlighted in red over here. Basically before we complete the difference we first decrypted by 2 rounds using the actual key. Then we rank and split them into sets based on their difference once again. Lastly we encrypted for 2 more rounds with another random key before we actually send them for evaluation. We also did another one except that we only decrypt by 1 round over here and therefore we encrypt 1 round over here as well. In both experiments that we decrypt by 1 or 2 rounds we notice that almost all of the paths have a score that is more than 0.5. And if we compare the true positive rates in both experiments the experiment that we decrypt by 2 rounds matches most similar to the lead in wishes. Therefore, we decide to venture further into it. Now, we would like to find if there is any biases at this particular line over here which is the difference after we decrypt by 2 rounds. After evaluating the biases of those cifotex paths in G and B respectively this is the plot that we have. We can see that there are really bias for the cifotex paths in G when we compare to the ones in B. We locate the positions that the G is the most bias and we form this particular truncated differential and we call it TD3. This TD3 can also be explained when we trace the biases starting from round 0 difference all the way until the end of round 3 as shown here. The B positions that the TD3 fixes have a low probability of having a carry propagated to them. With that, we make our first assumption that the neural network has the ability to determine the difference of certain Bs at round 3 and round 4 with very high accuracy and we make our conjecture that the 5 rounds neural distinguisher is actually tested. To verify our assumption 1 we retrain the neural distinguisher with cifotex paths that actually satisfy TD3 and we obtain an accuracy of 96.57% and in terms of the true positive rates it's almost 100%. Based on what we have learned about what the neural distinguisher is detecting, we present our distinguisher that similar properties with the neural distinguisher will present the average key-ring distinguisher. In this distinguisher we use a DDT however, we require the DDT to be at n-1 round for an n-round distinguisher and also we only need some of the positions based on this particular mass itself. Therefore, it's actually really a mass DDT instead. Also, note that this DDT is really generated using a data set of 10 above 7. The idea of the distinguisher is first we decrypt the last round using all possible subkeys. Note that this all possible subkeys is actually less than above 16 because we are only interested in some bit positions and the bit positions will be given by the mass over here. In this particular case that we have we are only requiring 2x12 different subkeys. After we have decrypt using the last round subkey we look up the difference at this red line over here. Then, we find out the probability of this red line using the mass DDT that we have previously prepared. For each ciphertext pair we compute the average probability of the differences over here. If the average probability is actually higher than that of a uniform distribution the ciphertext pair come from a real distribution. Note that the real distribution indicates that a ciphertext pair comes from a plaintext pair whose input difference is the fixed input difference that we require. Otherwise, we say that the ciphertext pair comes from a random distribution which means that ciphertext pair comes from plaintext whose input difference is basically just random. There are actually several considerations we take into account when we're crossing our average key when distinguisher. Firstly, we want to use the same amount of data set as Gauss-New World Network. So, the Gauss-New World Distincture took 10 to 4 of 7 self-attacks pair in order to train it. And that is why in our preparation for our mass DT, we also use 10 to 4 of 7. Next, we will like to match the new distinguisher's time complexity. In the case for the new distinguisher, the deep new network essentially takes up to the power of 17 multiplications. For hours, we will have to take up to the power of 13 one round decryption for the spec round function with a total of to the power of 13 table lookups to the mass DT. These are the results of the average key when distinguisher with the new distinguisher from 5 to 7 rounds. In all the cases, we actually have the results that are better than new distinguisher's. Another interesting thing would be this degree of closeness to see how well both distinguisher's actually agree with each other. And if you look at the diagonals, they made up almost 98% of the results. Now, we can go back to answering our main questions. Can we actually replicate the results? Yes, the degree of closeness between the two distinguisher's is extremely close which convince us that they are actually testing for very similar properties. As for what type of cryptanalysis is the new distinguisher is learning, we are expecting something along the lines of differential linear. However, unlike traditional cryptanalysis which relies on independencies among characteristics, the new distinguisher is able to take all of them and all of the correlations into considerations. For the next part, Adrian will be taking over. Welcome in the second part of the presentation in which we will focus on exploring the neural distinguisher from a machine learning perspective. Now, in this part, we aim to explore two questions. The first one is, can God's neural distinguisher be replaced by a strategy inspired by post differential cryptanalysis and machine learning? The second one is, can this new strategy be applied to more rounds or to another cypher? To answer this question, we need first to analyze the neural distinguisher architecture. It is composed of three blocks. The first one, here. Text as input, the two cypher text C0 and C1. As the first block is a one-layer CNN, convolutional neural networks with kernel size 1, we suppose that it just do an input transformation that we need to characterize. The second block is composed of 10 sub-blocks. Each of the sub-blocks is composed of a two-layer CNN with kernel size 3. This part is the hardest to explain. At the end, we have a vector F, which is the fitter's vector, and each element of this fitter's vector is a highly nonlinear function of the new input. Finally, the last block takes as input the fitter's F and outputs a score of the neural distinguisher. It is composed of two dense layers, also called MLP4 multi-layer perceptron. Our objective here is to replace each of these individual blocks by a more interpretable one coming either from machine learning or from the crypto-analysis point of view. So we are going to start by block 1 and block 3. So the block 3 can be replaced by any other ensemble classifier. For example, the MLP block can be replaced by random forest or gradient boosting. The first block actually can be replaced by a linear combination of the input. We choose to fix our choice on Delta L, Delta V, Visio, and V1, and the definition is given above. You can formally prove this transformation by establishing the true table of the first layer and therefore exhibit the linear input transformation. What we have done so far so we managed to replace the first block by the linear input transformation and the third block can be any ensemble machine learning classifier. That's why we call this pipeline a machine learning pipeline. Now our objective is to approximate the highly nonlinear vector F with a crypto-analysis point of view. We are going to take the time to explain how we managed to replace the block 2. The first interesting experiment that we have already seen is that if the input of the neural distinguisher is C0, C1, the difference between C0 and C1, lack for the PDT, the model, the neural distinguisher performs like the PDT. Therefore, our first assumption is that the block 2 is able to do an approximation of the DDT but with different input instead of having the difference between C0 and C1, it takes delta L delta V B0 and B1. But there is a limit. Of course, because the new entry is 64 bits and there are 10 to the power 7 tempur, it's not tractable. Moreover, the neural distinguisher actually is pretty small, only 100 Km. Therefore, we think that the neural distinguisher is able to compress the oddity. Sekarang, kita percayakan mask M yang mempunyai HW. Sekarang, setelah mengambil full input delta L delta V B0 dan B1, kita menghubungi mask pada input dan kemudian kita menghubungi oddity pada input mask ini. Dan kita dapat kemungkinan untuk mempunyai real tahu input ini. Limit kedua adalah jika kita mempunyai hanya satu mask, tentu saja kita mempunyai hanya satu kemungkinan. Tetapi kemungkinan F yang kita mahu menghubungi adalah lebih daripada hanya satu parameter.  Sebenarnya, kita menjadikannya daripada sebuah kemungkinan. Dengan kemungkinan kemungkinan dan kemungkinan kemungkinan seperti bagaimanapun kemungkinan kemungkinan. Oleh itu, kita dapat mempunyai kontrak final. Jadi, bagaimana kita dapat menghubungi kemungkinan 2, yang adalah kemungkinan 2.1 dan 2.10. Kita perlu menghubungi sebuah kemungkinan 4 dan kita perlu mencuba masak yang sangat berlainan untuk menghubungi masak ini pada kemungkinan. Kemudian, kita dapat mempunyai M-O-DT. Kita berhasil mencuba sebuah kemungkinan dan ia berjalan. Jadi, akhirnya, apa yang kita ada adalah kita sudah melihat bahawa kemungkinan 1 kemungkinan kemungkinan kemungkinan pada kemungkinan. Bagaimanapun 3 adalah kemungkinan sebenarnya kemungkinan kemungkinan non-linear dan kita dapat menghubungi 10 sebuah kemungkinan sebenarnya 20 sebuah kemungkinan sebuah kemungkinan dengan M-O-DT. Kita mencuba untuk menghubungi sebuah kemungkinan ini dengan sebuah kemungkinan yang lebih berlainan.  Jadi, M-O-DT menghubungi sebuah kemungkinan dengan sebuah kemungkinan. Di sini anda dapat melihat perjumpaan dengan kemungkinan non-linear dan 5 sebuah kemungkinan dan anda dapat melihat kita sangat dekat dengan kemungkinan non-linear dan lebih tinggi daripada kemungkinan non-linear.


How's it going, forexers? Now guys, welcome to your favorite forex training YouTube channel. Now guys, I know you love this YouTube channel. Some people are like, ooh, I really like it, but you like the YouTube channel. Why?  Don't lie to yourselves. Now guys, once again, happy, happy new year to you guys. I love you guys very much. And yes, I am back with yet another episode of Trader Talk. Now, if you're just joining me for the first time, Trader Talk is basically a segment of my YouTube channel whereby I come to actually show you guys number one, my strategy, and number two, how to use this strategy to extract thousands and thousands of pips from the market and ultimately put millions of US dollars in your bank account. Now guys, I'm famous for coming together with a concept called the top-down analysis whereby guys, I am right nine out of 10 times. So once again, I wanted to say a happy, happy, happy new year to you guys. I love you guys very much. And thank you for tuning in. 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Like you guys know, I'm a fund manager. And right now, my investors keep calling me because they want us to increase the amount of money we're managing. We want to be able to take an allocation of $1 billion US dollars and actually break it down into little chunks of $2 million, $5 million, $10 million and be able to allocate these chunks of money to winners capital traders. So it's not just getting funded, 50K, 100K.  So this is not just any profitable. We have plans. We have a future for our traders. And you go ahead and get funded. There's even a portion of the Discord channel called the Trading Floor, whereby all imagine you have a community, winners capital is a community of live funded traders. So do yourself a favor, click the link in the description or around here somewhere.  It's not possible or 50K. It's not possible.  Because think about it, all these years, you've been putting $300, $500, $1,000. What has happened? Nothing has happened. The money you are going to go and gamble with a broker. Don't do that. You got $10,000. There's no point going to put $10,000 in a broker that you're probably going to lose or 5K or 3K or $300 or $500. No, take that money, come and buy a series of challenges. Imagine if you buy 10 challenges and you pass all of them. You pass 10, 50K challenge, that's half a million dollars. If you make 20% of that money, that's 100K guys. The Lambo Gini will be sure for you guys this year. If you want a Lambo type Lambo in the comment section, say Lambo Forex, will this capital Lambo type it? If you want a Lambo Gini this year, type it in the comment section below. Once again, guys, before I jump into the video, I'm going to, I'm not going to jump into the video until you get a challenge, get it right now so that we're not wasting our time. Click the link in the description. You see there, will this capital sign up? Go there, put your details in right there. If for any, and once you put in your details, you get an OTP. If for any reason you're scrolling through and you don't see your country, it's simple, simply put another country right there. Once you get to the KYC stage, support are going to help you with all of that. But most likely your country is there. All of Africa, all of the world, if you're coming from the US, I know right now a lot of pro firms are now allowing US traders, come, we'll accept you, we love you. We love you, right? And we're regulated in all the right places and we can accommodate you. From the UK, from Canada, from Australia, from South Africa, Kenya, Mozambique, Nigeria, Ghana. We want all of you, we want to identify the best for this is a community of profitable forex traders. Once again, ladies and gentlemen, click the link in the description or around here somewhere and grab yourself a funded Willis Capital account and I'll see you guys when you have your Lamborghini. Now, enough about all of that, let's actually jump into the video and let's see what the charts are saying. Willis Capital traders, are you ready? Let's go. Let's get it, let's get it. Welcome into my charts, ladies and gentlemen. Welcome to my inner chamber of fortune, of millions of dollars, guys. You see these my charts. These charts have made me who I am. I made a conscious effort. One day I got up and I said, you see this forex thing, I must crack this code. Guys, I owe everything, everything that I own today. I owe it to these charts. Thank you candlesticks, thank you. You know, USD, GBP, USD, USD card, USD, GBY. Thank every single one of you, ladies and gentlemen, if you spend a long enough time in the forex market, you will crack this code. The forex market is so powerful that one day you would realize that, look, this thing is as good as an ATM machine that refreshes every single day. Refreshes what? Every single day. Okay guys, so once again, guys, thank you for joining me in my screen.  I want to tell you guys, see, I'm about to break down the charts. As you can see, I have ADUS in front of me. I'm gonna show you the trading setup, the juicy one that's about to form. Once I'm done with that, we're gonna go over to S&P 500. You know, you guys, there's money to be made. But the challenge here is this. Most people don't have enough capital to trade this market. And I keep telling you guys, get yourself a Willis Capital account. Get it right now. You can get it right now. The link is in the description. Get it.  Now, if you're already, you're equipped, Willis Capital traders, if you're already, and this whole video is also for Willis Capital funded traders as well. For those of you guys who are about to pass your phase one and phase two, and like I said to you guys, 5% only and you're good.  I'm here to guide you guys into profitability.  Let's get this party started in here. All right guys, so let's, I wanna kick things off with AUD-USD.  I'm just gonna do a quick recap, because I know today's Sunday, people go, shh, they do tomorrow, they need to be ready for work. But AUD-USD from the monthly timeframe standpoint, is still pretty much bearish. Now, the last time I looked at AUD-USD, this bullish engulfing cannot pretty much destroy the bearish trend to the downside and it kinda like changed the bias as well, kinda like confused everybody as to what was going on. However, by the time I came to a weekly timeframe, I noticed that AUD-USD had broken the inner trend line. However, there was an outer trend line still in play, which is here, okay? So you have one, two, three, four. This is the fourth touch. Now, the third touch usually does the trick, which is this one that collapse all the way to the downside. But I'm usually very skeptical about the fourth touch. So what's happening with AUD-USD right about now is simple and straightforward. AUD-USD is in a position whereby, it's in a position whereby, it's like, mm, do I wanna go all up? Do I wanna come down? It's not really sure. So the bias, bearish bias has the probability. Like guys, I can tell you guys, this is a game of probabilities, right? So the probability of a bearish movement had gone from 90% to 10% so at a point whereby it's 50, 50. So AUD-USD is at a point in its life. I'll call it a mid, oops, I'll call it a midlife crisis. So it doesn't know if it wants to come down or if it wants to go up. So this current trend line is stopping it from going higher. We've reversed and now it's looking downward. However, we've broken the inner trend line. So as you can see, it's between two trend lines. Now, another reason why I think it is a bit bearish is if you take your fibonacci from A, B, C, this is the Willis zone. Now, any time Willis capital traders listen, any time you find yourself in a situation whereby the market is telling you is wants to go down and there's another reason why it wants to go up. First of all, you have to know and accept the fact that the probabilities have now gone from whatever they were before to 50, 50. And as traders, forex traders, we don't trade 50, 50 probabilities. We need probabilities at least 60, 40, 30, 70, 30 in our favor. This right here is a 50, 50, man.  So 50, 50, go and chop your money. So how do we convert this from a 50, 50 probability trade into a trade that is in our favor? Simple. So like I say, patience is always the best answer for this kind of situation. Now, what I'm going to do is simple. I like AUDUS, it's easy and simple for me to interpret and understand. However, as we speak, we're currently trading right here. Now, the only way I'm going to, if it's something is 50, 50, that means it could either go here or here. Now, the only way I'm going to be interested in AUDUSD is this. I'm gonna need AUDUS to bridge this level about here. Once we come back down here and close back down here and start trading below this level, then I will be interested in shorting the market or we reverse around here and start heading all the way to the upside and potentially going for here. But at this point in time, I'm gonna have to say AUDUS, you're gonna have to chill for a bit. I have other suitors that are wooing me to have other girls that are asking for my hand in marriage. So, Willis Capital Traders, AUDUS, you feel free to trade. However, I don't see any tradable opportunities as we speak. I just thought I'd bring this to you guys. But over to something that I'm really interested in, which is the S&P 500. Now, the S&P 500, let's quickly go over to the monthly timeframe. You guys already know the S&P 500 is, I kinda lied to you guys. Last year, AUDUS was acting a bit sideways, but the S&P 500 pretty much came and saved the day. I was able to catch this entire move from 4,200 basis points all the way up to 4,800 basis points, which netted me about 600 plus pips, huge. And some heavy lot sizes I was trading. That's actually what pretty much made me end the year pretty nicely and my investors were obviously very excited. I forgot to tell you guys, they're about to bump up my funding from 150. The 150 has gone up, I think we closed the year at about 190 something, almost shy of 200 mil. So, the 200 mil is about to get bumped up to 500 mil. So, officially, your boy right here will be a fund manager managing half a billion US dollars. Yes, I think that one should get announced on the news. I'm not sure one of them should get announced on the news. But you're gonna see it when it happens. But yeah, back to what I was saying. So, this trade pretty much saved the day, it's amazing. So yeah, how can you take advantage of this? Now, what actually happened? How did I profit off of this? It was simple. I just saw this move on the way to the upside. We pulled back and then the market was on its way to the upside. As you know, I just simply took out my Fibonacci from this swing low, swing high. How else? We came in here, started to push all the way to the upside. We started to retrace again. When I was telling you guys, there's 50 Fib inside of 50 Fib.  So, I took advantage of a move within a move. Now, that is something that I'm gonna teach Willis Capital Traders on the Discord Group. So, Willis Capital Traders, for those of you guys who are gonna get funded once you pass your phase one phase two, once you get funded, there's actually a portion on the Discord platform whereby I'll be going live to teach you guys concepts as to how you can become a very good fund manager. Sometimes you have a big picture trade, but the risk to reward isn't so great. On there, I'll be coming to teach you guys, first of all, how to pass your challenges. One, two, how to find moves within moves. This is how you can predict a 2000-page move. For example, this move was a 600-page move, right? So, within this whole move, actually, it wasn't a 600-page move because the Fib naturally kicked off from here. So, it's three, eight, all the way to four. So, a 1000-page move. So, I found a move within a move. This is a move. I found, within this move, I found this move. And because I already knew this market was in motion, so within maybe a 1500-page move, I was able to find a 600-page move, but with a smaller stop loss, smaller stop loss. This way, you're risking 60 pips to bag 600 pips. That's a 10 to 1 risk to reward ratio. Now, if you're risking 3% on this trade, that is 30% return on investment on one trade, on the spot. So, imagine if you have a $50,000 funded account. Well, it's capital, that right there is $15,000. Out of $15,000, by the time you do profit split, at least $11,000 of that is your money. Don't play with this game for it to change your life. And how much are you really investing to buy those accounts? What, $200,000, $300,000, insignificant. Imagine investing $200,000 or $300,000 in the market in a proper account, and then your return on investment is $11,000.  Now, that being said, what is next for S&P 500? How can you guys trade it? How can you make money from the S&P 500? Simple, I believe so strongly. Without any, I don't have doubt in my mind that S&P 500 is going for 5,200 basis points. Now, how do I know that laws of price action? Very simple. Fibonacci, swing low, swing high. Let's look at the bigger move that happened. Okay, so this is Fibonacci count A, B, C, D. D1, and this is actually D2. As you can see, the D2 is a bit higher, but I prefer 5,200 because it's a more even number. So we've cleared D1, okay? So the next level target for S&P 500 is D2. It's not rocket science. This is what I keep telling people. It's, see this game, it is simple, it is straightforward. It's not that deep. You see, the most basic tools I'm using, all you need to do is understand the top-down analysis and you're good. So now that I'm looking at this, pay right about. Now, all I need to do now is zooming, okay? Zooming, and then I'll come over to the daily timeframe. Simple, listen, listen. Now I know I have space. I like space. With all this space, I have opportunity. Now, this right here, with these capital traders, listen once again, this right here, don't worry guys, I will also go live on the Discord group for the people who have their account so that I can also explain this further. But this right here is not a tradable opportunity. The market, if you buy here right about now, you might get stopped out. So what you want to do is simple. Allow this market keep going up, going up, going up. You want to look for a consolidation of something that looks exactly like this, like this, okay? Look, it took a couple of days for this to form, but that's fine. Wait for a couple of days for this to form, and then you want to start looking for buy opportunities. So people are saying, it took a lot of days for this to form, blah, blah, blah. Guys, let me tell you something. Yes, it took a lot of days for this to form, but think about it, the market went up, came down, went up, came down, went up, came down. I'm looking at it as consolidation. This right here is a hard attack to most traders because do you know how many accounts were blown here? This is what I always tell you people, zoom out. This is a consolidation. Zoom out, so you don't get trapped. So what you want to do here is, and this is a lesson to you guys. For me, this is nothing but a consolidation. I just waited. For some people, this is several blown accounts. So once again, allow the market come to a point of rest. Look for, the market needs to range for at least half of this range. So if you see a pullback scenario that stops somewhere around here, it paints itself here. Wait for a nice pullback. You know the entry strategy from the Forex Mastery Program, jumping and you're clear on the way to 5,200 basis points. Now, S&P 500 and bullish on this provided nothing too tough happens from the US economy, although elections are midterm elections. The primaries are around the corner. Biden's going up against Trump. But I mean, we still have another US elections. I think that December of this year on November. So everything should be clear on the fundamental wise and sentiment wise. But I just really want the market to get all the way here before any crazy news comes out of the US. So as with everything in life, I always like to weigh the pros and the cons. This right now is showing a lot more pros than cons because I don't see any reason why not. So ladies and gentlemen, you heard it here first on DapSea Radio. S&P 500 should be heading to 5,200 basis points. As I already predicted, it was going to come to 4,8. Remember, I told you guys 4,8 with hit 4,8. Now it's 5,2. So there you go. S&P 500, simply give it some time. Maybe a couple, four, five more days will come out of the way here, consolidate it and you're good to go. So ADUST, let's quickly go back. If you want to sell, wait for a close back down below here. S&P 500, allow the consolidation to form somewhere around here, okay? And then you're good to go. Now over to the Euro dollar, which is one of my favorite pairs as we speak. So let's go over to the monthly timeframe. Let's understand what's happening to the Euro dollar. This will give us a very, very clear and vivid picture. Let's see what's going to happen next. Hold on guys, someone is definitely trying to reach me. Someone is trying to reach me. Good. Forget about those people. My priorities, you guys. So yeah, what's happening with the Euro? Okay. Now the Euro is having trend line crisis just like the ADUST, but I'm not going to go into deeply into the trend line crisis.  From what I can see, whoops, whoops, whoops, what just happened to my charts? Hold on guys. Oh sure, sure, here you go. From what I can see, Euro dollar, obviously this is a high, this is a low, this is a lower high, this is a lower low, and this is technically looking like a lower high. So I see no reason why Euro-USD should not collapse. However, the market is trying to be stubborn.  But let me explain to you guys what's going on with Euro dollars so that this explanation will give you a clear picture as to what the Euro is going to do for the entire year. Now for every collapse, every impulse wave and pullback, there must be a resultant consolidation period. So what that simply means is, as the market is giving you pips, it's giving you pips, you will then go into a range whereby it needs to rest, it needs to breathe. And most oftentimes are not traders don't understand when the market is about to go into that phase. Right now, the Euro dollar is trending on a high timeframe and that's the very dangerous thing for lower timeframe traders. I feel like this is the part where most traders don't tend to listen to me, but this is where most accounts get to get blown. Now, will this capital have been launched? People are trading live funds. I have to step in and say, hey, please, I want you to make money. Not only do I want you not to lose money, I also want you to make money. I want you to be profitable and I want you to make withdrawals, right? In this scenario right here, a lot of traders go to lose money because they're used to directional basis, meaning they're used to selling and those dropping and making money and they're used to buying and it's going up and they're making money. They don't really know what to do when the market goes up, comes down, makes a higher high, makes a higher low, makes a higher high and comes and make a lower low. This defeats the characteristics of a trend. Yes, it does. So they don't really know what to do, but this is what you do. You be patient and watch. If you look very carefully, the UU dollar has now put in two left shoulders ahead and it's looking like it's putting in a right shoulder, if not two as we speak. This is technically a neckline. So what I'm going to do is simple. I will be waiting for this bad boy to come break this neckline, but that might take a while. So what I also discovered was AUDUSD, if indeed we're going to be coming down to the neck, if we're going to be coming down for a bearish movement, we're definitely going to roll over down to the neckline. What's happened is I know a lot of traders have already started selling as we speak.  So I see no reason why Euro shouldn't at least drop here because this is looking like a clear case of, this is looking like a clear drop situation because we've pretty much found a head, left shoulder, right shoulder, clear this neckline. Now this is on a lower tile frame, cleared here. So I see no broken structure. I see no reason why we shouldn't roll all the way to the downside. So, however, obviously me them being a more conservative trader, I would draw mine like this, but same, same, same. I'm favoring the downside to the tune of 85%. I'm going to be watching this very carefully, probably be jumping into the trade. Might be my first trade of the year, but a little piece of advice, this is not the typical kind of trade I like to place.  This is not my typical kind of trade. However, because it's not my typical kind of trade, what you then do is you just reduce your risk. Ideally, ideally, how's it going guys? Just comment below if you're enjoying this. Say I'm enjoying this. I read the comments, say I'm enjoying this. If you say I'm enjoying this, I might just send you a promo code. Put your, I might just send you a promo code, okay? Put your email, if you have watched the video to this point, put your email address down below. Probably send you a promo code, one from Dapo Willis. I just want to see how many people actually watch my videos till the very end. All my real supporters. So, back to what I was saying. Yeah, so Willis Capital Traders, if you're going to jump onto this trade, all you need to do is feel free to trade it. However, reduce your risk size, okay? If you're the type of trader who risk 3% reduce it to 1.5, don't forget, all you need to pass your phase one challenge is just 5%. So, you just need one of these trades to bang and voila! You're good to go, magic! Over to phase two. You passed that one on your funded. I know you're driving Lamborghinis left next to Dapsey in Dubai, okay guys? So, I think that's pretty much it. Not sure, let me go with BTC and CWAG1. Bitcoin, I mean, Bitcoin, I remember predicting the push of Bitcoin to the upside. Once we cleared $31,000 per coin, I predicted it all the way up to 48, so that's a good $18,000, $17,000 pop up to the upside. So, you see when I tell you guys, I did predict this market bust. Always predict this market very well. So, it's simple. We've come all the way up here. However, I'll tell you what happened. As we got to this black bar, I looked at this consolidation and I want you guys to pay attention. This is the same thing happening to the S&P 500. I looked at this consolidation and I was like, it's not enough candles. I was a bit skeptical getting to the trade. I wasn't sure where I wanted to put my stop loss. When I'm not sure about something, I leave it. And then the market rallied out the way to the upside. I was upset. In fact, cut this trade from 37,000 per coin all the way to 48. That's some cool 10K. That's over 1,000 pips. If I was trading 10 lots on this, I don't know how much I would have made cool on mail on this. I would have been happy. I would have added something really tangible to the funds I'm managing. I was happy. But unfortunately, the market didn't pull back for a significant amount of consolidation. And it just went all the way to the upside. But I wasn't perturbed. Guess what guys? The market came and consolidated almost in a similar way to the previous consolidation. Remember what I told you about the S&P 500? Allow the market, it will tell you how it wants to consolidate in the future. It will tell you how it wants to consolidate in the future. It consolidated like that, something very similar. Again, what did I do? I just yanked out my counter-trend line too. As you can see, this yellow thing has been here since the entry of my trade. Entered for a buy, jumped on it quick. The market even wasted a couple of days. Bam, TP straight. Did I bank the entire move? No, unfortunately, but it was a profitable trade. I took what the market gave me and I was happy. So the question now is what is BTC going to do next? What's next for BTC? So you're gonna have to check that out on my next YouTube video, okay? See what you need to subscribe. Subscribe so that you don't miss out. Once I drop it, you see it. Tickle that bell icon right about there so that you'll be one of the first people to be alerted once I drop a video. So my next video I'll be going over gold, BTC oil, all the other stuff that you guys like to trade and some JPY pairs as well. It's not everyday talk about US dollar base pairs. Let's look at other stuff and give you guys some more variety to trade. So once again, guys, I love you very much. Ensure to grab your Willis Capital Account so that you can take advantage of all these things. The link is gonna be in the description as always or around here. Don't forget to subscribe to the channel and I'll catch you guys in my other screen. Let's go. Once again, guys, thank you. Thank you for sticking around to the very end of this lengthy video. I hope we've been able to come to a consensus and an understanding of what the market is going to do next. Guys, relax. It's gonna be an amazing year, okay? You've got me holding your hand with all this amazing analysis, all these setups, you make money, especially because you are now a Willis Capital Trader. I am here with you guys and I'll ensure that you guys pass those challenges and get funded. Once again, if you haven't grabbed a Willis Capital Challenge, the link is gonna be in the description as always or around here. Don't be scared. Come and show us what you've made of. Love you guys very much and that's my time. My name is Dapper Willis. Take it easy and peace out.


you guys so it's time for another hair related video and as you can see here I have my deep conditioners out now you guys because we are in the process of relocating back to Texas I have gotten rid of a lot of my hair products I was one of those because I am a natural hair youtuber I tend to have at one point I had 200 products brought that down to 150 now I have less than 50 hair products which is okay which is pretty good in my opinion so I have four deep conditioners left here I tend to deep condition my hair as needed but at least once a month unless there is something going on with my hair now unfortunately honey my last wash day I use a product that dried my hair out we ain't gonna name it on names I'm looking at my four deep conditioners or hair mask here to determine which product would work best given the current state of my hair so we have the ORS hair mayonnaise we have moisture miracle African prides detox soft and heat activated mask we have a new one here we have blue magic cholesterol and then eating body works natural deep conditioner now these two products are more treatments okay and this is a cholesterol which means that there is some protein this product in general when I've used this before I typically have to follow up with a moisturizing deep conditioner because only have four deep conditioners left I want to be careful okay and I'm not trying to buy any new products so these are already out the door because again protein and clarifying or basically a treatment they're both treatments same thing with this so we're left with the eating body works natural deep conditioner but I tend to add additional products to my deep conditioners we have some honey here olive oil sweet almond oil I also added off cam some jojoba oil this is a vinegar equal and castor oil maybe one two well have a teaspoon to one teaspoon of all the oils because I added like five different oils including a half a cup of honey and I will show you what the consistency looks like so this is what it's looking like still fairly thick I'm going to go ahead and cleanse my hair add a conditioner to slip and then apply this deep conditioner on and I will be excuse the background and then I will be using a heat cap for approximately the heat cap honey uh-huh heat cap will stand on for about 10 to 15 minutes for the deep conditioner itself a total of 30 minutes okay all right you guys so this is what my hair is looking like now it has been a couple of weeks about three weeks of me neglecting my hair so yeah I need to go ahead and wash it so this is what my hair looks like after it was thoroughly cleansed I wash my hair twice and also condition my hair I'm going to section off my hair to make applying the mask easier so continue to apply the mask on and I totally forgot how much I love this mask now disclaimer girl while I was applying this for this particular day I'm really into true crime so I was watching the confession tape of Chris what Chris Watts excuse me so that's my facial he's just a piece of you know what sorry y'all so anyway making sure the back of my hair is completely saturated with the hair mask I'm going to apply my bonnet here that is attached to the dryer for five minutes but I love the deep conditioner on for a total of 30 minutes okay shower I rinse out that deep conditioner my hair feels beautiful I can't see a dangling thing girl my my glasses are fogged up now what I'm going to do is follow up with my D4 my leaving this new should we be the G of mine directly then add a little bit of fenugreek oil and that is it yes I have a formal review on this particular deep conditioning without adding all the bells and whistles but I like doing it this way and not only that but once I'm done deep conditioning deep conditioning because I I can never have enough conditioning I go back on with another rinse out conditioner and so my hair feels like butter now it feels absolutely moisturized hydrated she ain't thirsty no more my glasses are foggy take her off and yeah you guys thank you so much for watching and thank you as always to all many subscribers take care bye