What is up everybody? Good morning. How is everybody doing this morning? Hope your week has gotten off to an excellent start. Hope you had an excellent weekend since our last live stream Clearly quite a bit to cover as far as sort of where we're sitting at here on S&P Futures as well as Doing several trade plan recaps. We've got members selected tickers On doc as on doc on deck. Let's try that again What's up? I'm done review. Good to see you here. Good morning. Happy you're here. Thanks for joining us so Yeah, so we've got the members selected tickers that we just did this weekend as well as The couple of trade plans that we did on Thursday's live stream that we've yet to do any kind of a review or recap for so Got quite a bit to cover and then we'll get into doing some New trade plans before we wrap things up this morning real quick. Let me just get Things connected over to our friends at discord. He may still be following along here So what's up to anybody watching on discord just a reminder, please start making your way over to YouTube My goal is to I would say by the end of this month be doing this strictly via YouTube not broadcasting it to the Discord or anything like that Maybe it's something we'll continue for the foreseeable future. It's that will probably be decided by the survey that I'll post here pretty soon But just a reminder that is where I'm focused for the chat I have seen a couple of times when I circle back to the chat as I'm wrapping things up After a morning live stream that folks have sent me messages or ticker requests in our discord Just make sure that you're getting over to YouTube and joining the chat in YouTube. That is really where I'm keeping my focus Moving forward and at the end of this month. We will be switching the chat capabilities for the YouTube channel To subscribers only currently it's wide open So just a reminder to go ahead and subscribe to the x-trails YouTube channel doesn't cost you anything at all And will allow you to continue to interact with me while we do these live streams without any technical difficulties All right, so let's talk about what we're seeing here on the market in the market. I should say lots of consolidation really after that big drop down into This demand zone has pushed back up You know pretty much I think doing a good job of getting very close if not entirely closing that major selling balance or fair value gap You know, this was Really headline sound bite driven for those who kind of weren't aware Whenever you see things like this just to take a quick moment to talk about it generally speaking It's a really great opportunity to look to get into some calls either swinging overnight Or getting in kind of early in the morning But you potentially could miss a gap up if you're not willing to to maybe risk that overnight swing And the reason why I say that is because anytime you have sort of a headline Algo algorithm driven sell-off like this. It tends to get bought back up pretty quickly and what this was was one of the feds Kashkari Essentially saying that you know, we may not need any rate cuts this year may not be prudent Whatever the case might be He was, you know, really counter pointed on that or had somebody Pushed back saying, you know another Fed speaker that same day essentially saying, yeah, I think rate cuts are appropriate Jerome Powell said rate cuts are likely coming. So, you know, one person kind of Zinging while everybody else is zagging at the Fed level Is not something that's going to really change the course of things So, you know, this is you know, pretty like I said pretty good buy the dip opportunity But we've had two really big moves kind of back-to-back days not surprised that we saw quite a bit of consolidation yesterday Could see that continue into today A little bit. However, we are starting to see the 200 SMA catch up with the price action So we'll see the the market probably making some decisions if you're looking at things Through the lens of es as we get ready to test this it is crossing below the 333 which is slightly bearish But again, you know, this is kind of a I would say like an artificial drop. I don't expect that Message to continue for very much longer as far as, you know, Fed representatives saying There's likely not going to be any rate cuts this year. So With that said, let's get into some of these recaps These are the members selected tickers that I did over the weekend from the votes that are There are members in X trades submitted To me Sunday. So first one's Microsoft kind of a I don't know. We are disappointing one here. But again, I think we're just kind of stuck in a period of Kind of chop consolidation While the market figures out how to digest sort of those major sound bites from last week and whether or not We want to kind of continue to chew through all-time highs Or if we're going to, you know, start to see some some pullbacks so Microsoft here, you know, definitely I would say that's a pretty good confirmed break of the call entry and then followed pretty much immediately Immediately by a confirmed break of the stop loss Not something you'll see a lot in my trade plans, but you know, again can happen. I'm not perfect Things that would have kept me and would would keep me still in this trade had I taken it yesterday, but I'm kind of All over the place. So I'm not going to be super active in trading or in the discord outside of doing these live streams and chiming in and doing the daily spy plans Just because one week from today I fly out for my wedding out of the country. So Things are getting pretty Trying to get prepared for that. But anyway, what would have kept me in this? Ultimately Neptune bullish and even if you don't Have or aren't using Neptune yet This 200 crossing over the 333 and coming up as support here on the 15 minute I would have waited for that to break and I given had you bought decent time on Microsoft contracts here Actually, I need to move that back. I just wanted this out of the way, but Again, break to the upside break of the stop loss. My apologies again. We'll just mark that one up as a tick in the loss column But again, I think overall our win rate is much much higher than our loss rate on these trade plans that we've been doing AMD also from member selected tickers over the weekend. This was would have been a tough one to trade or really do anything with essentially we You know opened within the range the very beginning of pre-market trading drop down And essentially pretty much open right at I mean right after open tested pt2 for puts and bouts You know could have played a support entry there for those who are using Neptune. This is one where Caught that key buying pressure level absolutely perfectly here on the 15 minute So that's a great dip by entry from a Neptune perspective But again, ultimately we opened right down there at pt2. Sometimes these make moves without us We're doing these members selected tickers Or we're doing trade plans in general Overnight because we just don't know, you know, if they're going to be a gap down gap up or some kind of major Extended hours movement that is going to keep us from being able to execute the plan From an option standpoint at least but again down to pt2 back up to the stop loss average down and then push down Back to pt1. So you could have found an entry opportunity there later in the day So far still consolidating still on the bearish side of things and 200 333 Both coming down with the 200 below the 333 that's bearish So could potentially see a and d get pushed down again today. So keep this trade plan on watch is what I would say It's posted in our discord In the options watchlist section if you need to go look at it But again, you're looking for puts below this 170 out of three level with targets down here at 160 What is that 168 52 167 What is that 16 and 165 86 those would be your downside targets with the stop loss average down up here at 171 48 So keep this one on watch But yesterday kind of a tough day to trade it unless you a had net tune on deck Or b if you're willing to take puts At that stop loss average down test there And then we also did nvidia Over the weekend members selected pickers. Let's take a look at this on the 15th I don't think yeah, I was gonna say I don't think we've seen an entry yet on this nvidia plan. So keeping it on watch Testing the put breakdown level here at 865 90 So again, keep this one on close watch does look fairly bearish as long as it stays below I'd say 883 11 got a decent resistance confidence up there Really could start to shift the needle a little bit over 877 81 start to push higher But over 883 11 it could really start to try to Recoup some of this downside that it saw leading up to to this particular day Let's see who all is in the chat. Oh, thank you harry. I really appreciate that. What about nvidia and congrats? Yeah, thank d-pack So, yeah, I was just talking about nvidia again It's we did this member selected tickers trade plan over the weekend If you're in our x trades discord community that is posted in the options watch this From sunday evening is where I posted it. You could use the search feature to find it Ultimately, it's been no entry so far But the bearish pressure does seem to be pushing things down at this point And what I was saying is, you know, we could potentially see the start of recovery of a recovery on nvidia over 877 81 But really I think over 883 11 is where it really potentially starts to open up upside room Which would clear us out back over this 333 sma which is still currently quite bearish being above the 200 Both trending to the downside there So yeah, keep this on watch also downtrend line that we're still dealing with which I meant to mention as well So again, keep this one on watch. Nothing has happened yet as far as actionable entries on this plan But it looks like it's ready to potentially make some moves here after a day of consolidation All right, we've got some ticker requests. Let me see what else. Unfortunately, that's 100k. We talked about we lost 80 g I'm not sure I'm following that one Uh, real but I I Not yeah, I'm not sure what's going on there But if I can help please, you know, shoot me a message dm if you're in our discord or shoot a message in here I'll do what I can to talk you through or help out how I can Um Deepak would like to review adobe. Okay, we could do adobe as one of our trade plans I don't think I've got an existing plan to review on it Deepak, but certainly we can do that and for those of you watching in our discord just a reminder. Please come join us on our youtube Channel that is where I'm keeping my focus and attention as far as the chat goes So please come join us there chris. I see has posted the link for you guys So come on join the chat join the conversation We're going to start doing some trade plans here in just a moment. So we did q-com Last thursday on the live stream. So this was done pre market here We were looking for a put entry below 172 75 with targets down here at 169 49 167 92 166 92 In this particular scenario, essentially, you know, we saw things trying to hold up. This was that kashkari Um, kind of a little sound bite that dumped the entire market there pretty hard So, you know q-com running right up against the stop loss average down key level for this plan to continue to try to push higher Found resistance there kind of, you know, could have been a little bit anticipated, but not too looking bullish I wouldn't have been too eager to to jump at anything until we got a confirm break below this stop loss average down Let's see if on the five minute. There was a decent entry there Yep, there was it was hard to see on the 15 minute, but here you go. This is the kind of thing that we look for Right, we get that candle closed below back test rejection That's your entry opportunity as that next candle gets ready to open Uh, and then you take that to the downside all the way to pt1 really quick move that would have paid very nicely had you um kept this on watch and executed the plan from Our live stream last thursday pt1 for puts ultimately held sometimes when price targets all we get Remember to make sure that you're moving your stop losses up with the trade. Uh, I haven't gotten to stz yet I haven't done new trade plans yet. I know but I will get to it. Um Oh, hey, what's up? Good to see you buddy I still need to work. I need to get like a chart or a legend or something like that for for everybody What's your youtube name versus your discord name? Let me get that coffee in too. I haven't had any yet this morning. That's probably why I feel like I'm We're at a little slow here So we've seen a recovery since here on q com Broke or tested our put entry weekly resistance came back That's a really nice confidence there where you've got that 333 sma bullish flag on neptune Key level key support level there at 172 75 that held All day yesterday and ultimately looks like it's got us pushing up here through the extended hour session Potentially going to open and retest this 175 45 levels. That's q com from last thursday's live stream And then we also did coin last thursday Kind of a similar scenario, you know moved with the market to the downside after that comment from keshkari Let's see how actionable would this have been so far. I mean, it's you know, we're extended hours PT1 clean support tests there Nice rejection of the 333 you guys hear me talking about that Moving average all the time. I hope you're paying attention to it You will find bounces and rejections off of it on tons of different time frames. Make sure you're keeping an eye on it It's a something I stumbled upon years ago and have been preaching the gospel ever since and chris Can tell you Absolutely, you know, I've been talking to him about it and he's kind of like, yeah It's like a weird moving average to look at and I've like here's an example. Here's an example Well, here's an example. So 333 SMA and again personally, I like that 200 333 combo is kind of like dynamic Support resistance levels also really helpful to kind of get a sense of overall bearishness or bullishness if they're how depending on how they're oriented But anyway, nice rejection of the 333 SMA that took us all the way back down below the put entry to pt1 and pt2 clean pt2 bounce there, although that was I'm just now realizing right after market close But again, when you're hitting these price targets, if you're getting close to them If you're trading options and the markets getting ready to close, you know These price targets if we're talking about puts are support and they can bounce the price Right, they can bounce things back to the upside So make sure that you're scaling out and especially if you're getting ready to close at a key one You see in a green level on my chart this bright green those are weekly levels Those are the strongest and very key levels in my personal opinion On my charts, boom. I mean just nailed it probably. Let's see. What's the low of that candle? 239 51. Okay. We were four cents off of that bounce being you know, perfect off that second price target for puts Yesterday again kind of more of a day for Neptune traders here where we had the bullish flag Kind of really crazy whipsaw action But nice test of that double confidence in there with the 200 crossing back over the 333 here We see 333 reacting with bullishness and bouncing the price again inside that bullish flag So that's a really nice confidence entry with that support That would have been a good stop loss if we flip that flag to the downside that would have kept your Losses, you know minimal if you even got a loss at all But ultimately a nice bounce back to the upside and right now consolidating between the range Of our trade plan so we could see another entry here on coin pretty soon Definitely looks like it could try to make another push to the upside if it breaks back over 255 93 If you decide to play that more aggressive entry, I'd have my stop down here at 251 58 And then first target up there 260 102 and then just Repurpose these remaining levels 265 75 and 271 16. Those would be pt1 pt2 For the upside if you kind of go with that adapted or readjusted plan. All right, so Let's get into some new trade plans here this morning stz got dropped pretty early by the Unknown reviews constellation brands. Yeah, I'm familiar Let's see It's been a while since I've looked at this. It's got Not great volume, but it's not awful. We'll work with it Prefer to be a little bit higher, but that's okay, but we need volume to get moves That's why I tend to look at that. Yeah, it's been a while since I've looked at it. Clearly It's one that I was going to say I remember trading it quite a bit back in the day But it's been been a while all my levels are Kind of focused down there. Yeah, I haven't really looked at it since it's been breaking out to these levels Uh, so anyway, let's take a look at this. Let's see What we can figure out here on constellation brands just real quick I'm gonna hide my indicators and need to build up my support or resistance It's always first things first for me when I'm looking at a chart where either a I've never charted it before or Excuse me be my levels clearly need updating because I have not looked at it in a while This is a level of interests Not well, it's pretty close to confirmed Given the amount of price data we have up in this range is probably as good as we're gonna get As far as weekly levels go Again another level of interest this one I probably want to see on a different time frame. So we'll just keep this on watch See what else we have Here we've got Decent level it's good weekly, right uh I don't think we're gonna need anything much lower, but just to kind of Feel like I've completed this weekly time frame I think these we've got something sitting right around in here. It's real messy Yes, no, no three. Yeah, just three 33 length. So 333 sma Source would be close if you're setting up the moving average indicator. So you have your length type and source Length would be 333 type sma source close. That is the one that I'm referring to Yeah, I think it's right about there. It's close to that. This is an interesting Double top actually right as I said I was getting ready to move on but not This is another one that we'll take a look at other frames. I'll think It's going to give us enough to work with here one more Right here. That's another level of interest and then we definitely have a clear Ceiling here that we're going to want to keep on watch All right, so let's take a look at with this being low volume. I'm gonna Just assume that the daily chart is probably the better way to go versus the 24-hour chart. So where are these levels of interest really playing out? That's a really nice queen move there But I feel like it gets nudged around in this more recent price action and it does kind of Create some interesting news back there. So yeah, I think this level's Actually right here and it's a daily level This We'll keep that on watch actually that could be like a four-hour level or something like that. We'll keep an eye on it Another interesting daily level potentially here. Let's see Any more tests back there Really minimal price action in this range I think it's I think it's there though. It's barely there, but it's there All right, let's see what else we've got um So here's a quick tip for those kind of learning Ways to spot and find support resistance anytime you see a gap On the chart a lot of times not all the time So, you know, make sure you double check and verify but a lot of times gaps do one of two things They tend to form at existing support and resistance levels or they form new ones establish new ones So keep an eye whenever you see a gap That can be kind of a quick helpful little shortcut to finding Some key support resistance levels again, make sure you verify go through and vet it out But that should put your eyes on on a particular price price point to start analyzing I think this is a decent daily level actually All right, let's see where that puts us in relation to the current price The other thing that I think we're going to really need to or I need to if we I Need to start focusing on is how we're going to build an upside trade plan knowing that we're pretty much Trying to break out to new all-time price here on installation brands Not a ton of price action in there I think we can also probably find a reasonable pt3 That's an interesting Break above back test and push higher Does it really play out though as a support resistance level? Yeah, it does actually and is there anything in this little range? Yeah Yep, right there Lots of chop there. I'll probably be able to flush that out on a hourly kind of green light. Let's Keep it rolling. Uh, and I'm gonna stick with regular trading hours here On the constellation brands again knowing that it's low volume Influences that in my opinion Let's see Right about there of price action up here See what we can see with this little range. I got something right here It's not just the most established level I've ever drawn, but it's there Here I can see this a little bit cleaner Again get the other side of that gap, but with the four hour chart now This is a Interesting level No real action on it back here though Oops, I didn't need to draw that of course I have it All right, okay, let's let's get the indicators on let's go to the hourly chart. Let's fill in the blanks here I think we've got Probably enough to be dangerous and put together a trade plan Don't love that bearish flag running up that high here on the hourly and interested to see where we're at with things On the 15 Man still under these smas though Now That is interesting. This is kind of a level that I was eyeballing where we would put us back over this Confluence of resistance with these moving averages and this was at 260 801 level I think we've got an entry opportunity there Let's take a look make sure I think we've got a price target up there at 270 12 I mean we see this this rejection here, but to me that looks like we're just dealing with The sma has resistance more than an actual Uh support resistance level there So Let's see. Yeah, I want to go back to that hourly chart. Let's see where that puts us And I think I might have this 270 oh one level just Hey, yeah, it's more like right there. So yeah, I do like that. So let's go for Let's take a shot at an entry here over 260 801 Constellation brands first price target up here at 269 88 second target Like I said filling in the blanks. This is a somewhat interesting level based on this recent move I don't want to get too greedy with the second price target. I just want to see where we get Back here in this Time this we have this range here where we Actually got some more In cleaner movement Through this range Yeah, there's something sitting right about here 2782 ish Yeah, I wouldn't want to Totally ignore that The other filling the blank for me This is an interesting rejection right here up to 272 13 Question is is there an actual level there? Yeah I think there is Maybe just a little tiny bit higher Yeah, right there. That's pretty solid. Yep. I think we can go with that Um, let's see. I feel like 260 718 that's Does look like a smart stop, but it feels a bit Too tight to me So Yeah, this is an interesting and gives I think the trade a little bit more Or better ring to work out here at 266 76. So that's a good upside plan. Let's see. Where does it down? So I really start to become Factor We'll just switch over to this. I want to see where Neptune's sitting on the 15 Yeah potential Outs All the way down to there This is an interesting Level though Yeah, we could Have something here. Let's check this on the hourly. I don't want to Not a big fan of doing a lot on small time frames as far as support resistance goes I think it's sitting more like right there. I think that that would be a good first price target a break below This daily level Then I did see a stop loss average down that I thought was worth Keeping an eye on Sitting right about Yeah, it's right Right there 266 Oh one second price target definitely this weekly support I said definitely and then I kind of saw this Hold right here. That was a nice Base that I built off that level 263 33 Ah, I take a shot at it. I say take a shot at it. Just make sure your movie or stops up There's I mean the 200 SMA is still a ways down there here on the hourly. So we could continue down Then Below that This is a somewhat Interesting level here on the hourly Let's see if I can't also very interesting with that 200 SMA conference. I'm just noticing that that catches. Let's Again, just real quick. Make sure that Kind of further verifying this level Through this range. It looks like it's a little higher right there. Let's see how that sets us up back here Yeah, I'm still pretty good. Okay. I like those three targets. So Here we go. Here is our constellation brands trade plan Hopefully you guys followed all that hopefully it's Hopeful as far as kind of getting an idea for you know, go through the motions processing a chart building a trade plan Plan your trades trade your plans, right About a plan you're kind of just Shooting from the hip and that can tend to lead to Bad entries bad exits all kinds of problems that aren't good for account growth Okay, so Let's chat about this constellation brands Trade plan, there's the link in our youtube chat Here it goes into the watch list for our friends at x trades All right, so just talking through this real quick. We're looking for a break over 260 801 Play calls or for upside here on constellation brands. That should give us targets at 269 88 272 282 and 272 19 with a stop loss average down to 266 76 To for the downside or to go short. We're looking for a break below 265 15 kind of a tight first price target here at 264 16 But below that I think we can make some bigger moves down to 262 69 and 261 35 with a stop loss average down at 266 601 which we are testing right now here this morning as support Those are your constellation brands trade plans. I hope that is helpful. Let's see how these Play out. All right, so that was for unknown reviews. Hope that's helpful there homie Let's see. We've got pltr next from rock 06 Pltr may be a quicker one. I should have pretty decent level. Oh, it's on an old trade plan range. How about that? When did I do this trade plan? Marching it out. So I was like, why does that look so weird? It's normally I have expanded trading hours on So, yeah, this is a little intriguing. I mean clearly we had good price targets here on this old trade plan there Smart resistance level on it as well. I never broke that for the upside But we are going to need to adapt and adjust this plan some But this should move a little bit quicker because I'm pretty confident I've got decent levels already here on Palantir And yeah, I think we're looking for calls over 23 75 That immediately jumps out at me with that 333 sitting there Big bounce off that before if we can get over that. I think we open up some upside May have a level that I either has Been Established since the last time I looked at it or yeah, I'm not saying I've charted Palantir to the You know from top to bottom and caught every single level, but I think we've got a level here. That's going to be our first price target over that Definitely looks like it wants to try for 25 50, but definitely see A pretty good possibility of a rejection You know what I say, let's go for it again, it'd be Might be being a little bit greedy here, but Don't say I didn't warn you. I guess is what I'm driving at And then over 25 50. Do we take a shot at that 26 of six weekly level is the question and it's It really could get caught up there at 25 89, but Again, I'm going to say let's take a shot at it. I mentioned earlier weekly levels are pretty key as far as how I like to look at things so It could wind up being a magnet for the price action over that So then Question last question.  I Think we're giving it too much room down here to 23 39 That does seem to be a reactive level though a really reactive level I haven't switched this off. I'm just trying to see this Price action a little bit better Yeah, there's There's something here I think it just manages the potential downside a little bit better. Yeah, let's let's take a shot at using this Hopefully I'm not Setting us up with too tight of a stop here But there is I think a reasonable level to use here see 23 61 402, I mean a ticker that trades in $20. I know 20 cents doesn't sound like a lot of room, but That's actually a decent amount of room for something that's trades in this price range So that's our upside trade plan downside Need my indicators back on again, we've got a lot of Pressure to break through climb up over that. And so we can climb through all that I expect that momentum to continue, but it's going to be quite the Challenge I would say See I do like An entry. Let's just go back a little bit further, but Really kind of liking an entry Here below What was this first price target from this prior trade plan Leave pt2 where it's at but use that as pt1. Yeah, definitely a very clear level here I just didn't have yet on the hourly That'll be our stop loss and then Only questions that remain is what are our second and third price targets? kind of a night looking pt1 and 2 honestly, but 21 39 can also be a Pretty key support Did get a little bit of a break over and back test off of that 21 up for the ass is really kind of All three levels are tight to the downside, but any of these could bounce things Or how into your cell? that was a Quick one Maybe Get this done quick enough or one more here this morning short and Image all right So what we're looking for here on Palantir is a break over 24.02 That should give us targets at 24 59 25 50 and 2606 The stop loss average down there 23 61 to the downside We're looking for a break below 22 58 with targets at 21 72 21 39 and 2105 They stop loss average down at 22 80. Those are your Palantir trade plans. Let's see. What else we got? He pack wanted to take a look at adobe multiple votes for Palantir So we talked about that we didn't skip we need discord username. Yeah, absolutely Palantir Palantir Palantir CPI tomorrow 8 30 tomorrow Double top there yet kind of triple top better way to map the discord I wish cup of magic. Okay. What's up, buddy? Sorry. I'm just catching up on the chat. I got very into You know are like very focused on the charting. I was just doing there for a little bit there Yes, thank you Harry. I appreciate it buddy. I need all the help I can get Chris asking for SLB potentially did stz. We did Palantir Yeah, I don't think we're gonna get to that It was very good. They lost $74 support lines were very accurate. Well, thank you. I'm done review. I appreciate it I try to make sure that these Trade plans and levels are highly accurate. That's one thing I really strive for. Okay, so we've got maybe five minutes And I'm sorry. Was there one more than I could get to Felt like I saw one adobe. That was it From a boy d pack cup of magic. All right, so Let's see So not one that I have levels on unfortunately Oh Now just one random weekly level interesting But one thing that is very interesting actually here For adobe on the weekly is testing this confluence That has held so far this week Right here at about 478 96 um Olish flag here on neptune from a weekly bullish smas 200 In that confluence area of the key buying pressure. I've really kind of like adobe for longs um As long as it holds that 478 96 And I would use a stop loss right about Well, weirdly enough, I mean I was looking more at the Candles, but well not weirdly enough it happens often I should say Really kind of matches up perfectly with the key Level that needs to be held for bulls there at 445 75. So I really do that and I don't do this often Chris will tell you but we've done this once or twice Where I've kind of said like I really like to buy the dip as long as we hold 478 96 I can use 445 75 After willing to give this some room to play out long term If you want a short term let's see Yeah, a really nice hold of that level in that confluence, but Really bearish here on the four hour two. So yeah strong strong conflict here in fact, I would say This starts to look a little bit better To go on let's adjust this a little bit. This is going to be an Upside only trade plan just based on the time we got but I want to get something from my Done for my honey cup of magic here So I think what we'll do is we'll switch this up because I do think if we lose this that's That's pretty critical So we could use this much tighter setup for 90 or three entry over that for 78 96 stop loss And let's see. Yeah, I do like this top There is a four hour level here Kind of gives us an equidistant and it's slightly better than one-to-one risk award Actually, I can just tell by eyeballing But not not hugely better Generally speaking, I want to see, you know 1.5 or better risk to award just getting to the first price target Second price target. Yeah, it's probably actually again No big coincidence enough to finding that key level here with the top of that selling pressure 515 I'm sorry 514 54 And over that this is an interesting rounded top with a couple of rejections That alone doesn't really give us much to work with but yeah It is a pretty key level. I think here for adobe So this would be a quick Kind of like a buy the dip as long as it holds for 78 96 better confirmation over 490 93 in my opinion To play for upside Let's expand this out. Then let's take a look at this on the hourly real quick. See if that changed my mind on anything It does not actually This is a little bit concerning That flag being just within between our entry and Pt1 it is trying to curl down though and depending on the timing I could wind up Having confluence there for 90 93. So yeah, I mean definitely definitely really interesting though as long as it holds this for 78 96 Again going back to this weekly look at it That is a really interesting intriguing by the dip opportunity confluence With a pretty tight stop if it drops below for 78 96 cut it because it could drop Down to 445 I think below that Um All right, so um, let's Put this sorry.  So again, what are we looking for here? Again, I don't necessarily hate just going ahead and buying the depth on this one just based on where it's at Keep a tight stop on it at 478 96, but if you want to wait for better confirmation, which is certainly What I would advise We're looking for a break over 490 93 Over that we've got targets should have targets. I should say at 50409 514 54 and 522 67 Again maintaining that stop loss average down there at 478 96 That is your quick adobe analysis and plan for my boy d pack cup. Oh magic Uh Very very glad to see everybody here. Andrew glad to hear that you've learned so much from us I'm hoping that you continue your trading journey with us here So with that, uh, we are getting close to 10 minutes out from market open I need to go put together the spy plan for our discord community You guys back on that I think on a pretty regular basis. So I hope you guys have a fantastic trading day again Just another quick reminder this thursday's live stream will be the last one Um for a week and a half no live streams next week Or no live and there will not be a live stream on tuesday the 22nd either first one After or the next one after this coming Thursday's live stream will be on april 25th. I'm sorry 23rd. So 16th 18th and 23rd No live stream on those days. I will be out of the country getting married. So We will be back After that though on thursday the 25th And we'll be back here thursday morning at 8 30 for our last live stream until I go become a married man. So With that, I hope you guys have a fantastic day as we always say here on the phone My live stream plan your trades trade your plans go out there get some green I will see you guys in the discord have a fantastic day And I will be back thursday morning at 8 30 talk to y'all soon and don't forget like and subscribe To the x trades youtube channel because again, we will be limiting the chat to subscribers here starting in may So take care. I will see you guys soon. Have a great day


Welcome to the Canada Science Technology Museum's Reserve Collection Facility. This is where we keep artifacts from the Science and Technology Collection when they're not on display in exhibition. We have a diverse and vast collection of artifacts ranging from transportation, agriculture, aviation and space, communication, as well as industrial design and medical technologies. Wouldn't you love to get your hands on these artifacts? Well, sometimes they're so large, so fragile or so rare, we can't let the public always handle them. With 3D printing, you'll have a chance to explore our collection in a much more hands-on way. Let me show you how. We can take an artifact and make a 3D digital model of it with our scanner. The scanner uses lasers, cameras and sophisticated software to make a 3D file or mesh that captures the size, shape and physical characteristics of an artifact. This information is then handed off for post-production where we use software to smooth out the mesh so we can create a 3D model or even have it printed. So that's how you might be able to get your hands on some of these amazing things from our collection. So stay tuned as we scan more artifacts.


news updates. Good morning folks. This is Steve Rhodes coming to you live from the shores of very sunny Delray Beach, Florida. This is your 11 a.m. update. We currently have a sea of green out there. You got all the U.S. indices, all the sectors, many stocks, at least on my screen, are trading to the upside. That was up 767 points, two and six tenths, nearly 3% for the S&P 109 points, three and three tenths for the NASDAQ 100, 376 points, three and a half percent for the Russell, 4.4% for the semis. We've got a rally going on. That rally extends to gold up 27 bucks, trade out a 17.29, Silver's up 59 cents at 21.17, Lights Recruits trade out 86.50, that's up nearly 3.5%. Natural gas is up 3.5% or 23 cents to be trading at 6.70. Although we don't have a bullish reversal candle there just yet, just an inside day. 30-year Treasury trading out a 128, that's up 20 ticks. Let's go take a look at that nine panel. Market update chart, hopefully it's in focus for each of you out there. We begin by take a look at the upper left-hand side. You've got the ES mini. We know it's got it completed by the D point pattern. Price right now is taking on resistance. Resistance is the top of its daily profile. NASDAQ 3806, a close above that would be a very bullish outcome. Spot follow till next. It's still above its 50-day exponential moving average. That says watch out for any kind of surprises if there are, then we see a rug pull inside the S&P 500. Otherwise, if this continues to move lower and targets is 50-day, that's at 26.54, we should see the S&P 500 continue to move higher. The NQ, which also has a by the D point pattern, is going to go target or should target the top of its daily profile. Now it's got a bit of ways to get up there a couple hundred points. That top of profile level is 11.840. Inside the US dollar index has got a nice roadsman to Mindicator top. Price is now within its daily profile. It's testing another level of support. That is a weekly profile level. That is at 1.1048 out there. Oh, I take that back. Hold on. That is at 1, no, it is at 1.1048. Retaining 1.1061. So, 1.1048. Watch that. Now, if price gets below that, there's another real strong support area inside the US dollar index. That's between 1.0964 and 1.1020. Goldilocks is now trading well above the top of its daily profile. It may be targeting, well, certainly targeting its recent highs. That's not much higher than what we're trading right now. Those recent highs came in on the trading day of September 12th at high 1746. But you get above that, price should make its way up to the top of its weekly profile 1779. Silver has made the 1.272 way to be equal CD to the upside. Back to its recent highs out there. So I want to keep an eye on that. Let's recruit. Dealing with resistance at the top of its daily profile at the 8668th level. Natural gas again just has an inside day right now. So no bullet reversal candle to confirm it's by the people that folks they do for the trader's edge show. But if you have to start your Tuesday, please have a terrific one. Thanks for joining us. We'll look forward to seeing you again soon.


Loot boxes, purchased in video games for randomized rewards, are similar to gambling and require disclosure of probabilities to prevent overspending. While this measure has been adopted as law in China, self-regulation by the gaming industry conflicts with commercial interests and may not fully promote public welfare. The prevalence rate of loot boxes among UK's top iPhone games was 77% in mid-2021, but only 64% complied with probability disclosure industry self-regulation, significantly lower than PRC legal regulation. UK games made insufficiently prominent and difficult to access disclosures both in-game and on their official websites. Only one of 75 UK games adopted the most prominent disclosure format. Policymakers should demand more accountable forms of industry self-regulation or impose direct legal regulation to ensure consumer protection. This article was authored by Leon Y. Chow, Laura L. Henderson, and Philip W. S. Newell. We are article.tv, links in the description below.


I was a migrant myself. I had to flee my country after I was put in jail by the Sierra Leone People's Party government and charged with treason. I suffered a lot of humiliation and was discriminated against as a new common refugee in the United States. I cleaned bathrooms, scrubbed bumps, worked as a maid, all in the name of survival. I cried for myself. I cried for my children. And I cried for the number of years I worked hard to make myself a maid person in my country. For you to be able to stand on your feet and speak as I am doing today with authority, you should go to school and educate yourselves because education is the only instrument that will take you to upward mobility. I am equally sure that with determination and commitment, we can achieve what's coming up with a solution-based approach towards a global compact that reduces vulnerabilities of migrants across countries and continents. Thank you so much for your attention.


Hey, welcome to the course. We're going to be using code walkthroughs as a way for me to explain my solutions to the coding exercises that I pose to you. This is only to show one possible way to do it. There are lots of ways to go about this, lots of really good ways to go about this. I'm not showing you the right way or even the best way, but I'm showing you a way and the benefit of that is that at each step along the way you're free to either do it in your own style to differ from what I write as much as you want, but also if you get a little bogged down or sometimes the changes can be hard to keep track of, you can always revert back to whatever my solution was to the previous exercise and build from that. So the goal is to give you maximum flexibility, but to always have a get out of jail free card in case you get tripped up. The walkthroughs themselves are actually entirely optional. It's just a way for me to verbally step through what I've done, but you're welcome to just look at the code of my solution and for some people that actually is a much easier way to ingest the ideas and to understand the work that was done. So they're not gonna, you're gonna be blocked from progressing to the next example if you don't watch the video. They're just here for in case it's helpful. Here we're taking a look at our very first test data set. This is our as simple as possible example. We've named it dataloader2by2.py. The very first thing we've done in line one is import numpy, and numpy will let us do all kinds of numerical computations, has a great set of tools. The most important thing we'll use it for right now is its very useful data structure called a numpy array. We define the function get data sets and within it we create this variable examples, which is a list of arrays and each of these arrays is two rows by two columns and the way that we initialize the array here is to do a list of lists. It's a little bit confusing because we have examples which is itself a list and then within it we have a bunch of arrays which are each initialized as a list of lists.  But the way I've spaced it here, you can see the rows and the columns and you can, if you use your imagination, imagine each zero as a black pixel and each one as a white pixel, then what you see in this first example is an image with a black bar on top and a white bar on the bottom. The second example has a white bar on the left and a black bar on the right. The third example has a white bar on top and a black bar on the bottom and so forth. And as you go through here, you can see that we have diagonals. We can have corners and altogether, there's lots of variations that we can have of this. In fact, because we have four pixels, each of which we're allowing to have two values. We can have two to the fourth or sixteen different examples, which we enumerated most of them here, if not all. And then we just close that out. For this example, that's all we had to do was create a list of these NumPy arrays, each of which is a very tiny two by two matrix, or two by two two-dimensional array, which you can imagine as an image. So this is our silly, simple image test set as we get things up and going. The goal being that if we can run this ridiculously simple example through, we know what answer we should get, then once that's, if that doesn't work, we know something's wrong. Once it does work, then we can swap this out for a slightly more complex example until we step our way up to the full problem that we're trying to solve.


and we have an excerpt now on that about the decision with Beltran in a question asked by Evan Roberts of WFAN. Everybody talked about the Astros cheating like it was out there that there was some some rumblings that they were doing something in 2017 when you're sitting there for eight hours with Carlos Beltran how does that not come up just that a curiosity when you're interviewing them for such an important position like being the manager of the Mets? It's important to remember the timeline and that's why I led with that today is that when we were going through our interview process in October there weren't rumblings or certainly we hadn't heard rumblings and we're not aware of any rumblings about what was happening with any particular team. I started on the job in November of 2018 and at the general manager meetings this was a topic the importance of modifying the rules for you know technology was something that was talked about and the commissioner made it clear that that using technology for for in-game science dealing was not to be not to be tolerated you know what happened or what rumblings I certainly had no factual basis for anything until until this process played itself out. Carlos Beltran had this to say to Marley Rivera of ESPN today over like 20 years in the game I've always taken pride in being a leader and doing things the right way and in this situation I failed as a veteran player on the team I should have recognized the severity of the issue and truly regret the actions that were taken I am a man of faith and integrity and what took place did not demonstrate those characteristics that are so very important to me and my family I'm very sorry it's not who I am as a father a husband a teammate and as an educator the Mets organization and I mutually agreed to part ways moving forward for the greater good with no further distractions I hope that at some point in time I'll have the opportunity to return to this game that I love so much. All right so let's go back to the timeline when he was interviewed for the job does a question come up okay you buy that maybe it didn't come up at that time but then right in the wake of this in the commissioner's statement Monday Jack wouldn't have made sense for somebody to circle back and say how are you involved what happened and then what decision do we make and how do we go the right way it's mind-boggling that it wasn't asked Bob and I would say in either circumstance when you are interviewing somebody for that position and I'm saying when you're interviewing him this was one of his skills one of the things that he did well with stealing signs as a player so I would think that would come up in conversation as the Mets were interviewing him because it's a complimentary thing we want to know how to make our players better then once the news breaks with the athletic story you absolutely have to ask one of your employees what was your role on this I listened to that conference call in Brody Van Wagon the GM kept saying well we were deferring to MLB he's your employee you are paying him to run your franchise he's a first-year manager you absolutely have to ask that question I'm shocked that it never was asked yeah and for me it's when the story came out in the athletic right Ken Rosenthal broke that story that at that point if you're the GM of the New York Mets you have to go to your manager and say I need to know what happened here because we're going to try to get out ahead of this you don't let it go for weeks and then react here this week and I guess you can even say not react this week right it was three days where they did not make any sort of a comment they had an embarrassing morning with the Mike Piazza way down in Port St. Lucie it just was a situation was not handled the right way but the fact that you don't go to Carlos Beltran and say I need to know what happened here so I have all the information as a general manager of this team I need to know what happened can't rewind the hands of time but let's just say that Beltran statement Jack came out on Monday or Tuesday what's the worst case scenario that could have happened for the Mets I think it's a distraction and we can all guess on how long that distraction last but I absolutely think that we're talking about a different situation here now that was a very contrite statement and I'll go you one further Bob forget the statement get in front of a microphone get in front of a video camera and say it with contrition say it apologetically and I think everything could have changed in this spot but the longer the Mets delayed the more I thought Beltran was gone when this first happened I thought he might skate on this he was mentioned in the report and Manfred by the way put him in there for a reason no other player was mentioned I thought there was a chance that he would survive the longer it lasted I thought the Mets were almost setting him up to fail yeah I think that they could have gotten ahead of this story but then the question becomes could he lead a group of 26 players and staff in that clubhouse when you get to spring training and then get to the regular season and I think he could have I think he could have been very honest like he was with the statement today and I think he could have done the same thing with his players that first meeting in spring training and say listen this is what happened I made some mistakes we're not going to let that help happen here I can help you guys out on the field become better baseball players better major leagueers and I can teach you how to win the right way so I think there was still a chance for him to manage his team and I think be a successful major league manager


Okay, welcome back to SiliconANGLE Wikibon's theCUBE, our flagship program. We go out to the events and extract the silo from the noise. This is theCUBE, I'm John Furrier, the founder of SiliconANGLE. I'm joined by my co-host. Hi everybody, I'm Dave Vellante at wikibon.org. We're here at the Vertica User Conference in Boston. We're here at the Western, at the waterfront, and a beautiful day in Boston. Rob Winters is here. He's the director of analytics at Spill Games. He's leading big data and personalization and predictive analytics initiatives at the gaming company. Rob, thanks for coming on theCUBE, welcome. Oh thanks, I'm really happy to be here. Yeah, so gaming is a great use case for data. Why don't you tell us a little bit about Spill Games and your role? Yeah, absolutely. So I'm the director of reporting and analytics at Spill. My team is responsible for the entire data flow. So from the point when someone decides that they want a piece of information available, to the point where it's actually presented either in a report or put back into production and used to make a personalized gaming experience, we deliver that entire information. Full pipeline. Full pipeline, from JavaScript on the front end, all the way through to reports on the back. Now, in developing that approach, did you start from sort of with a blank piece of paper or did you have to undo a bunch of processes that were already in place? Talk about that a little bit.  It was great because we basically started from ground zero. Our original data warehouse at the company when I joined was a Postgres database with about 10 tables and no reports. So we got to build from the ground up, but it also meant that there was no functionality in place that allowed us to kind of easily expand out what was already there. So it's been quite a journey over the last year and a half. So talk about the business a little bit. What's kind of driving, you know, your initiatives, your decisions? What's the business clamoring for? So if you look at our business, we're a web-based gaming platform. We also do some publishing and developing of titles. For us, what we're really focused on right now is delivering a much more relevant customer experience. So if you look at the big online gaming companies, the opportunity is you have this portfolio of thousands of pieces of content. You have hundreds of millions of people playing on your site each day or each month. How do you make sure that they find the right game for them? And so we're really moving to this sort of personalized analytical space very quickly. What's your experience been in terms of, you mentioned your publisher obviously, you're putting games out there and you're hoping they hit, but you don't know. What's your experience been with your ability to predict what's going to work, what's not going to work and how do you iterate that over time? Well, to be honest, it's pretty easy for us because we're the publisher, the developer and the platform. So to make a successful win, all you do is you promote the heck out of it. So, but in terms of games we bring forward from other companies where we're basically just publishing their content, we're still trying to figure out how to predict that secret sauce. So UX is obviously a huge issue. So you mentioned front-end, front-end development has really been really key with real-time web.  So what I ask you, how do you keep up with the front-end development innovation at the same time, using the data to create a user experience is positive because you can learn a lot from the data where people drop off, where people are adding value, where they're excited, what the patterns are. How do you vector that back into the front-end? You know, it's something which we're really working to solve right now. If you look at it, we've kind of divided the problem into two different pieces. Number one, what do you want to show to someone? And number two, how do you want to show it to them? And you take that, what do you want to show to them? That's all back-end work and that's all modeling about content recommendations, personalization, targeting, those sort of things. How do you want to show it to them? That's where you really get into that multivariate testing using things like epsilon-greedy modeling. And so we're building this entire flow to be able to control both those pieces and allow our product marketeers to be able to put the right message in front of the right customer at the right time. So is that homegrown middleware software between the front-end and back-end? Yes, yeah. And what's the thought behind that? Why is it agility? And what are the developments, is it pure back-end, front-end, and the guys straddle both sides, full-stack developers or? So my team is really, we don't have to worry too much about the actual production architecture, just the information that's put back into it, which is a blessing really for us, just keeping scope down a little bit. If you look at my company's technology approach, we've been very heavy into open source, custom development, and actually for us, we only have two major pieces of commercial technology involved in our entire technology stack and that's Vertica and Tableau. What about the front-end? What do you guys do for front-end development? What's the innovation there? What open-source tools do you guys do? What are you programming? We are currently rewriting our entire front-end architecture using a mixture of Erlang and then using some JavaScript to really control that front-end experience. Hard to find front-end developers these days. It's very hard, you know. Yeah, we know. So gaming is one of those things where it's a big data problem waiting for the huge opportunity and there's a big idea right there and that is that there's so many small pieces of data, very much a consumer-like environment, a truly consumer environment. Someone clicks on something, they do something, if it's first person shooter, they shoot someone, there's points, there's trading, there's currency, all kinds of things going on, multiple dimensions. How do you guys deal with that? I mean, honestly, going from Postgres to, what are you using for the back-end? Is it Hadoop? Is it Vertica? What's the architecture in the back-end? You know, if you look at it, what we're doing is basically, we own the JavaScript library that fires off all of our events into our MapReduce platform. So we're doing a lot of log rotate into Hadoop and Disco, which are two MapReduce platforms, rotate that data into Vertica for all the stuff that we want to use for personalization. So the thing is, we're firing off, you know, billions of events per day, but a lot of them are just information that needs to be aggregated to really keep track of, say, that user experience, whether it's about how long they're spending on a page or something like that. So that all flows into Vertica. In Vertica, we do a lot of our analytics, we also feed that in through R for the more advanced predictive modeling. And then that all moves back into a proprietary NoSQL solution, and that's what we use to serve the data back out into the production environment. And as you built that. Yeah, we built that as well. On top of what? Open source, from open source standpoint. It's from an open source standpoint. It really is, we looked at, you know, the functionality of React and our tech teams identified some key areas where they said, this is not going to work with our technology stack that we have here. So they went out and they built their own solution all in our lang to be able to do this. Okay, nice. Little another unstructured database, a homegrown opportunity, but custom built for what you guys need. Custom built for what we need. So what's the feedback been from some of the advertisers and on the product side, obviously the product and you got advertisers in your platform. What's been the reaction to those on the publishing and the ad side to some of the new techniques that you guys have done? You know, if you look at it, the more data you have about a customer, the easier it is to serve an ad which is really relevant to them. And so with our ad partners, we're really using some of these data management platforms where we can take what we know about users either from information they've provided to us or based off of behavior, what we're seeing and what we can presume about them and we can feed that back to these ad providers which gives us a very nice boost in terms of the value of each impression served. What's a big challenge that you guys faced that if you could resolve, it would really have a major business impact. People always talking about, okay, you heard Meg Whitman today, we're going to help you monetize the data. And I wonder if you could talk about some of the challenges you faced, some of the really hard problems that you're working on that have a major impact on your business. Well, you know, the thing is we're dealing with people who are interacting with the platform. And so as we, you know, as you move closer and closer to real time, the challenges of doing your analytics increase, I would say exponentially. It's one thing to be working in a telco where you've got 25 million subscribers and you need to regenerate a couple of numbers once a month. And that's actually where I came from. It's another thing to say, I've got X million people live on my platform and they're on page, you know, this page and I have one to three minutes to decide what I want to show them at their next experience. And so for us, that's really, that's the problem we're dealing with right now is how do we move this complex analytical modeling closer and closer to real time?  Is that kind of how you define it before you lose the audience? That's where we're trying to get to, yeah. So for us, if we would say, and actually for me real time is kind of a dirty word because of this definitional discussion, we're driving for near real time. So my goal is by the end of the year to be able to pass these recommendations within say five minutes back out into the production environment. In time. In time, yes. I like that. Okay, so what kinds of things are you looking at to solve that problem? Is it pure tech? Is it also people in process? Talk about that a little bit. You know, it's technology. It's really, you know, taking a very aggressive look at how we do some of these modeling things and also trying to identify if there's an 80% solution which will get us almost what we need or close enough to really make sure that that customer experience is good enough for now and then we'll optimize against that the next time they come back. And just iterate. And so at the same time, that 80% solutions, it's got a scale, right? So you have some balancing and trade-offs that you have to do there, right? To maybe talk about that a little bit. Yeah, so you know, one of the things we're looking at right now is there's really a good way to do personalization using hundreds of different data points and elements and everything else and re-aggregating those every time you gather new data. That's the solution that we can run in non-real time. In real time, you have to identify the key values that have changed since the last time you modified that user experience and only leverage that. So the classic example here on content recommendation is the difference between, do you look for users who are very similar to this person and try and recommend content based off of that? Which is very expensive, but very accurate. Or do you look at what content they just engaged with and make recommendations based off of that, which is much, much cheaper computationally. So I was interested in listening to Colin Mahoney's keynote this morning.  It was, you know, it was meaty. And one of the things he said is he wanted to make this event about the customers, the use cases, et cetera. So, and he really, you know, it wasn't pound in his chest, so I liked that. But at the same time, I want to understand why Vertica? Why did you choose Vertica? You know, maybe give us a sense as to what else you looked at. What's it do well? What doesn't it do well? Maybe talk about that a little bit. Yeah, absolutely. So from our perspective, we were sitting here on this row based system, which the performance was terrible and we knew that if we tried to scale it all, it would just fall apart. So we knew we had to move to a column based system or some sort of data warehouse appliance to be able to do all the analytics that we wanted to eventually be able to do. And we're a small company. We're not huge. And so you immediately throw out things like Teradata and Exadata because the pricing on that is just insane for a company of our size. We looked at some of the other solutions like InfoBright or at the time we were making this choice Apache, Cassandra hadn't really moved in the right direction yet, really wasn't mature. And so for Vertica, what we saw was it gave us the performance we needed. It gave us the ease of use that we needed so that we could very quickly build the data warehouse and the pricing actually worked for the business model that we had. And sort of this expectation of starting now and then growing into the future. How do you deploy it? Everything in the cloud? No, we have a data center in Amsterdam that we run everything in. So it's all private. I have my final question. I know you're tight on time. Appreciate you coming on theCUBE, sharing your expertise with the audience out there.  Obviously gaming's on the front line. Some guys are pushing some stuff out there. New audience, new millennials and you've got all the new active users. And so you've got to push the envelope. What's been the biggest surprise for you around, wow, that's impactful. I never would have thought that would happen. That's a good question. We've kind of been struggling as we go through this journey to figure out what really makes a difference on the customer experience. And we've got, we'll pull tons of data about users and the stuff that we presume is really valuable at a user level. Oftentimes has no impact on the recommendations we make. So we'll try and use this data and then the model will actually not perform any better than one that's running a much simpler data. At the same time, we're finding certain aggregate statistics are so highly predictive of user experience or preference that we can get away with extremely simple techniques to massively change the user experience. So rather than going for the massive corpus and drilling down on it, you just get more peaked and looking for the right data, but smaller pieces of it. Absolutely. Okay, well, hey, you know, big data is huge and it's happening. There's a lot of machine learning. You know, I wrote a post this morning about natural language learning. Obviously, Siri, everyone knows on the iPhone. All these techniques, you got Google Glass, wearable computers, all this stuff's going to be part of the consumer experience. Obviously we'll have an impact, but gaming in particular today is a collaborative environment and some say we'll predict what the work environment may look like. And so, obviously, big data plays a big role in that. So you guys are doing some real cutting edge work. Thanks for sharing on theCUBE. We really appreciate it. This is SiliconANGLE Weekly Bonds, theCUBE. We'll be right back with our next guest after this short break.