All right, what's up guys, this is Alex from Xtrades back to you with another weekly trade ideas list. I hope everybody had a wonderful trading week and also just had a good week in general if you had a good weekend as well, got your brains rested and are ready to get back to it. Markets are opening back up on Monday here and we'll go ahead and get into the economic calendar. We have nothing scheduled for Monday in terms of data, no Fed speakers, anything like that. Tuesday, the only thing we will have is existing home sales. Wednesday we do have the PMIs coming out, so S&P Flash, US Services PMI, S&P Flash, US Manufacturing PMI and also new home sales. So today is worth the real estate data here Tuesday and Wednesday and also the PMIs. So these can definitely move the market and it'll get even more interesting throughout the week. So Thursday we do have Jackson Hole coming up. So if you didn't know, Fed officials do go up to Jackson Hole, Wyoming for sure It's like a ski trip of some sort. They've been doing it for years. They go once a year and basically all the Fed officials, they hold press conferences and overall they do speak to the public and on Friday is when Gerald Powell, our Fed chair, is going to be giving a speech and this has huge impact on the markets depending on what he says. Last year's was just outrageous. He mentioned pain in the economy at least 10 to 20 times, I'm not sure the exact number. There's a lot to unpack during that speech and the markets did sell off very, very aggressively last year. This is closer to when we started our rate hike cycle. So it may not be as impactful this year just because we're starting to get to the end of the rate hike cycle and inflation is also coming down. So there's not really as big of implications as last year, but we'll see. So Thursday we'll just have other Fed officials doing interviews from the Jackson Hole Summit. We also have initial jobless claims. We have durable goods orders and durable goods minus transportation. I'm guessing the Fed officials interviews is probably going to be the most important. So you'll probably see a lot of stuff dropping on the newswire that day from other Fed officials, maybe not from Gerald Powell because he's going to talk on Friday, but you know, it could still have a little bit of impact. We'll see. Then Friday, like I said, that's when Powell is going to be talking, giving his speech and it could definitely, definitely, definitely move the markets. And then we also have the regular US Michigan consumer sentiment that comes out at 10. So mid session, really close to the Jackson Hole speech. So Friday is going to be the big day, arguably the most important. And then I would say second most important is probably just going to be like the PMIs and potentially the Fed official interviews as well, depending who's going to be talking and who's going to be hitting the newswire. So as for the economic calendar, we'll go ahead and get into our setups now. This week I do have four call setups to look at. Last week we had maybe three or four call setups as well. The only day that did really good was Monday. So PayPal had a great day. We were looking at calls on that on Monday. I was able to catch a couple of scouts on that on Monday, but then the rest of the week was just straight paying for the market.  And then Friday, we started to hold up just a little bit better markets bounced on the OPEX date. Hopefully this week it won't only be Monday that has a good day, but we also had JetBlue that did pretty good on Monday as well. So JetBlue and PayPal did very good. But for the rest of the week, it really didn't do too much. PayPal sold off pretty heavy. So unless you're like in a swing trade for that, we definitely need to give it a little bit of time to bottom out because it's at 52 week lows now. We're looking at that demand zone last week. So just got to be patient with that one. But for this week, we're going to get into our first one. We're looking at PLTRs. This is Palantir. It's pretty much just been our one of the main AI plays has been hitting the market other than Nvidia. I had a great run up. Obviously it's still somewhat in an uptrend. I wouldn't say it's, you know, the most bullish anymore. You're kind of starting to get that head and shoulders type of vibrate.  It looks like it could, you know, eventually try to break down the support, break the neckline and go lower, but it is that support now. So that caught my eye. So this 1350 support looks pretty good. I'm going to be looking for bounces on this just because the supports, you know, it's pretty good. It had a great bounce over here from June and it looks like Friday had a pretty good initial reaction to it as well. Closed up 1.77%. So relative strength versus, you know, the regular index is SPX closing flat. QQQ, essentially also closing flat PLTR up almost 2%. So that's what you would call relative strength. So I hold up pretty good. A lot of other high growth names held up very good as well. I saw DDOG did really good. SQ did good. PayPal closed up pretty good. PayPal actually did break a new low and then eventually it reclaimed over our one week demand zone and closed back within that same demand zone. So that's why I feel like PayPal could still be good. But this week we're going to be looking at SQ. We'll get into that next. But Palantir here, obviously your risk off is just going to be under 1356. So if it broke 1356, there's a good chance to get back test and then try to go lower. I feel like it's going to probably bounce up and try to make a shoulder first before trying to go lower.  And that's going to be about 1580s close to 16. But that's about as far as I could see it. Maybe you could get away with 17 because that would match this other shoulder over here. If it worked to make a head and shoulders, which is just speculation. I've just seen these patterns play out so many times. It's just kind of an assumption I make. And we saw it on Netflix. We went over Netflix a couple of weeks ago. We were looking at the demand zone. It looked a lot like this, but there was no shoulder formed. Yeah, there's no second shoulder, but there was the first shoulder. And I said the maximum I could see it was to come up, you know, match the second shoulder, which would be to your left. And it did exactly that. And then eventually it went lower and broke the neckline. So the head and shoulders did play out. So I'm trying to keep that in mind when looking at Palantir here is that I could repeat that similar Netflix pattern that we went over.  So that's for PLTR. Looking at calls risk off below 1356 price target. If you wanted to be greedy, probably just, you know, close to 16 or 1580s. If you want to be more conservative, which is understandable. We're in the summertime, markets get, you know, liquidity is not as good. Markets gets lower as we see.  So if you want to be more conservative with calls and bullish trades, by all means do it. So PLTR here, looking at calls. All right. Next, we're going into SQ. So this is another payment services play. We looked at PayPal last week, had a great day on Monday. Unfortunately, no follow through after that as we went over in the beginning of the video at a pretty rough week, ended up breaking below the demand zone and then reclaiming it. SQ here had a different story. It wasn't quite at support yet. So that's why we didn't have it on watch last week. Looks like this was Monday. So it was all the way up here on Monday. PayPal was close to support, which is why I had a pretty good bounce. SQ is a little bit lower to go in order to get to 15 or I'm sorry, in order to get to 50 505 support, which is what it tapped right here directly. That's from May 2023. You can see open up here Monday, pulled all the way down into support. Really big balance on OPEX date, which is Friday. That's August expiration. If you're newer and don't know what OPEX is, that's the monthly options expiration. The monthlies is usually where it has the most open interests in the options market on any options chain for really any stock. The monthlies are going to have the most volume and the most open interests. And that usually has the most money expiring all at one time. So it makes, you know, markets pretty volatile. As you see, SQ was like a gap down pretty heavy, opened right at the 55 and then huge rip to the upside. So 55 held really, really great. And I feel like this could have a little bit more upside. Obviously it's a little risky. You're going counter trend.  I mean, it's literally like below 10. It starts to get a little bit in the oversold territory when it's below 20 or so. And now it's like below 10. But you can see if you look really closely, it's actually trying to curl up. So look at this little spot right here when the purple gets over the orange.  That means momentum is trying to shift back up. And we likely got that little shift from this little candle here on Friday. And then likewise, when the purple crosses down over the orange, that's when you get a momentum shift to the downside. Similar to like a MACD or a KDJ or really any escalator that used for crossovers, same gist. So now that it's trying to cross up a little bit and you got 55.05 support holding, obviously your risk off go void. If it broke 55 and closed under it, or even with a weekly bar, if the weekly bar went under, as long as it closed back over 55 with a weekly bar, you can consider that level still holding. But if you're using daily bars, a close under 55 could also mean that it broke as well. So you kind of got to figure out which one you want to use. I feel like the one day and the one week bars are most reliable. One week more reliable if you're using for doing trades and, you know, long-term analysis. One days might be better if you're trying to stick to more shorter term trades and you're kind of just adjusting on a day to day basis. These one day bars will kind of give you that read. I feel like this could see some continuation next week up to at least this little previous support right here. It's going to be up to 61.65. I don't think it'll get up there this week, you know, all the way. It's a pretty good balance. If we took a info tool and we measured all the way up to 61.70s, it's going to be about an 8% move. So realistically, I mean, it's as cute. It's pretty volatile and it can bounce that hard in one week, but you know, you kind of got to be realistic with the stock market, keep your expectations lower. And if it, you know, doesn't pan out, you won't be as hurt and you won't be as disappointed. So never expect anything from the market. Just adjust day by day and, you know, don't get greedy. And also just, like I said, keep your expectations low.  So there's also a little, it's like a little pivot right here from May. It's going to be at 57.78. So I'm guessing it would need to get over that since there was a previous area support. I don't think it's like the biggest support in the world. This 55 is most important because this is the lowest point from, you know, 2023. So as long as that's holding, it looks fine. If it can get over 57.78, great. But the 61.65 looks like it had the most impact.  So this is probably going to be the most important level that it gets up to. And it likely would try to act as resistance about there just because it's such a big level. But this is basically all buy error. This is basically all sell imbalance. There's really no supply zones I see. I guess you can mark this little supply candle right here. It's a little green day that led to more selling. So I guess you could count that as a supply zone. It's going to be, you know, about the 59s or 60s or so. So you could watch that area as well. That could act as maybe resistance. It's a little drop based drop zone. So SQ here, I'm looking at calls with risk off, stop loss or whatever you want to call it under 55 flat. And it would need to have a one day close under that for this level to kind of go void and not work anymore. All right, next we're going on to Pfizer. And even though I don't really care for this company or the vaccines they produced, this setup looks great. This is a bullish falling wedge. If you've traded this before, you know what it is. It's just a regular bullish pattern. Starts with a test one, test two, test three downtrend line. And then you also have kind of like a trend line support that has the same test one, test two, test three. That's when your wedge is formed, when you have three tests on each side. And then once it breaks out, that's your confirmation to the upside. So your confirmation was actually on this first bar. That's when it confirmed that the breakout was valid. And that's probably when people started to pick up the pace a little bit, volume probably picked up. And then we're not really too far from that close. So I feel like this is not too far broken out yet. Do not enter. Sometimes you want to be a little bit closer to the line when it breaks out just so you're getting better risk to reward. But I mean, like I said, this is not too far of a breakout already. And you could have a little bit of room. Oh, there is a supply zone right here, which kind of worries me. It will need to get over that. And if it can start trading inside of this and get through this with no issues, obviously then it can see that 3780 peak, which is right here. So this little drop based drop zone could be an issue. You can see this wick, this wick candle actually tapped the supply, went down pretty heavy. And this is actually going to be the second time the supply zone is tested. So it may not be as strong. The first initial tap of a supply zone is always going to have the most velocity. I don't mean like it has to every single time, but most of the time, the first test is always the best for any supplier demand zone. And then they kind of start wearing down similar to like a support level when it's been tested so many times. Let's say like a resistance level has already had three or four tests. That means liquidity could be drying up and eventually it could have a blow off top if it's been tested too many times. But for PFE here, it looks pretty good. Nice little bullish falling wedge. I'd probably stick to a swing trade on this, especially with COVID cases coming back up. There's been a lot of reporting on that. You can see this little news wire down here. The Biden admin is already urging Americans to get new COVID boosters. So this could kind of prop up the industry a little bit and the sector as a whole could be worth watching with the summer COVID cases coming up. Hopefully we don't end up putting ourselves back in the lockdowns or anything like that. But it's still worth a watch, watch the sector. PFE and Moderna both are kind of oversold. I mean, they've been trending down for a little bit and now trying to curl back up to the upside and you have your confirmation pattern right here. If you bought 30 to 60 days of expiration for calls, that'd be good. You give it a lot of time to work. You give it a lot of time to work through the supply zone which could be a factor. Like I said, that's why I'm kind of skeptical on it for day trades and stuff. But just because it can naturally act as resistance here, as you see this big red candle that wicked the general area of the zone went down hard, it can do that same exact thing again and try to repeat it just because it's a pattern and other people see it. So it's kind of that mass psychology factor when one person sees it, another person sees it. And then if they both do the same action that can set some cell pressure on the market. And if everybody's doing that at one time, that's kind of where cell imbalances come from at supply zones when everybody sees the same thing. So PFE here looking at calls just maybe by 30 to 60 days of expiration. Maybe look at this one as a swing trade. It's because the supplies in the way it would need some time to work through it. And then also get over 3780, which is kind of close, but they're still pretty good pointage here. Looks like 3669 to 3780. So you got about a dollar or a point till we hit that just pretty good. Just buy time on it and be patient. All right. And lastly, for our individual tickers here, we do have Nike. We actually had this one on watch quite a while ago. We're looking at this downtrend breakout right here. And you can see, I have the same 11034 level from the last time we were watching it. We needed to get over that for confirmation. And look, it was just never been able to breach it. It's actually rejected it one, two, three, four, five times. So the last time this was on our watch list, we had this same level and the 11030s was our breakout level to get over. In order to get up to supply, it was never able to do that. So it just kind of reflects why confirmation is important. I guess you could say that this bar right here did close over it. And this one briefly did as well. But at the same time, if you mark the little wicks right there at 11080s, that never breached. And overall, it looks like it just kept making, it kept making little higher highs. Like you got a higher high, higher high, higher high, higher high, just not, you know, in a convincing matter. So you really want to see like a convincing bar over the 11034, obviously, and that would be a good breakout zone. And that's what we were looking at last time. So I just wanted to show you that, but this time we're looking at a completely different level, which is this big drop base rally demand zone. These are one of my favorites to trade because they have really good risk to reward.  And for that, that's going to be 10290 flat right on the dot 10290. So if it breaks under that, you could assume that the zone is void and it could go lower. But right now you could see Friday actually did produce a little green bar, nothing crazy. That just means a gap down down here. And it ran up, you know, pretty much for the rest of the session and held up at a decent high. So you have a pretty good reaction.  And then some more follow through. So it was able to hold this up pretty good. It looks like it has a good reaction. And also you could call that 104s, the 104s to, you know, 103s. You could call that the demand zone. So likely I would be looking for a move just back up to the 11030s, the same resistance that we covered before. As long as this demand zone is holding, it looks pretty good. And as long as it's, you know, over the demand zone low, which is your 10290s, you know, it should be fine and it could hold up pretty good here. And we could see a bounce. One thing to keep in mind, it did already have one bounce here. So this is the initial demand zone reaction, which is great, really nice run up. So this would be the second. So I'm not sure if this one will be as strong as the first initial reaction. Like I was saying earlier, the first is usually always the best. But, you know, from time to time, you will see the seconds working just as well or the third or the fourth. I've seen demand zones be tested for a fourth time that have had a similar spring to the first. So just depends. And, you know, the stock market does have some randomness to it. So can't really guess if it's gonna be as good, but we can kind of make an assumption that this demand zone had a great bounce prior. So this, you know, the second test could be pretty good as well. So maximum I could see it back up to the 11030s. I don't think it's just gonna reach this within a week. It's a pretty good move for Nike. Nike's kind of a slow mover. If we draw an info line from here up to 11030s, it's about a 5% move. So that's a big move. I just think this is the closest resistance on the one day timeframe. It's gonna be, you know, at the 110s. So this could take a couple of weeks to get up there. It could take one week. Who knows? I mean, you can see right here, Monday, Tuesday, Wednesday, and almost made it to 110, you know, within a week here, here's Friday. So it came close, but, you know, you can't expect it to move 5% in a week all the time. You just gotta be realistic sometimes. But overall, I feel like 11034 is a potential price target. So just keep that one in mind. You can maybe mark this little wick high right here too. It's gonna be at 10830s. You could also maybe even mark this short-term support. You got a test here and a test here at 106.76. So you could watch that as well too. Maybe that could run up into that and that would try to act as resistance. I just kind of got to draw around and play around with it. This is a pretty good chop range. So yeah, you could mark this 106.70s and also this 11030s. And there's a little wick right here, a strong wick that led to selling. So this 10830s could be good as well. So we'll call it 106.76 price target one, 10830s price target two, and then 11030s price target three. Probably the overall, just because I have no idea if it'll be able to break out of this just because it's had trouble before. But this has had one, two, three, four, five tests already. So maybe once it gets up to 110 again, it could have enough strength to break through it since it's been tested so many times. So that's for Nike here, looking at calls. All right, and before we get into the indexes this week, we'll go ahead and get into the SPX seasonality chart and we're gonna be going over an SPX technical chart next. So this is actually 25 years worth of data. This is from August 21st to August 31st and it's 25 years worth of data pretty much just stacked into a line graph as you see here. So I'm just highlighting from Monday, which is August 21st for us down to August 31st, the end of the month. I would have done just the week, the 21st to this Friday, but I'd rather see it through the rest of the month to kind of give us an overall picture of where the markets historically have been moving. And you can see it's actually averaged a negative .47% average return. So overall, in this 25 years worth of data, this did average a negative return. You can see there is a small little upthrust up into the 27th, just this little area right here. And then afterwards, after the 27th is when you see that little move down. So this could result in a small little upthrust. I was looking at the Almanac that I have. I posted it in the Watchlist channel every week. The Almanac does show mixed results pretty much. It said the dial was up maybe nine out of 17 times the last 17 years. Let me look at it real quick. So you can see here, it looks like week after August expiration is mixed, dial up nine of the last 17. And then Tuesday, you have a bullish icon. And then the rest of the week is all pretty much neutral. I can show you this right here, these little numbers right here. You see DSN, that's Dow S&P NASDAQ. You got a 61.9% chance of rising for the Dow. You got a 71.4% chance of rising for the S&P. And then the NASDAQ 81.0% chance of rising. So these are just probabilities. And pretty much whenever they have a higher number, usually over the 60s, you're gonna have a bull icon for the Almanac. And then usually when they're lower, you'll have a bear icon. It just depends on the historical data. I believe they take about 50, maybe 100 years or so, and pretty much just make probabilities based off of that. And then they'll give you icons. They'll also give you little quotes like this, little fun facts. So if you want to, go check it out. It's called the stock Almanac. You'd probably get one on Amazon. They make one every single year. So just wanted to add that since we're going over seasonality. So yeah, maybe when 27th or so comes, that's when we should be a little bit more worried. It looks like there's a pretty big drop right here. And then you can see mid-Septembers when it gets pretty bad. So there's a little chance for an upthrust, it seems. And then, you know, after this week is kind of when it starts selling off into the end of the month. So last week, we're focused on this 4.450 on SPX, which is also this back test level. And we actually bounced off of it. Right here, you can see Friday held it up. And then Monday, really big bounce. So we were looking for a bounce off that, which we got for one day. And then I pretty much mentioned you would want to absolutely hold this. Otherwise it would literally just do what the NASDAQ did when it broke its back test level and flushed just like this. And that looks like the 4385 was the support we had next. It even breached through that and closed under that. But now we're in a drop-base rally demand zone. So it looks pretty good here for a potential bounce. It did hold up, closed flat. I wouldn't say, you know, that means we're just gonna open up green on Monday or anything, but there is a pretty good chance that we held this demand zone that we could bounce up. We need to reclaim 4385. So we need to reclaim this little area of support right here. Likely close over it. And then maybe it'll run back up just into the back test resistance, which is gonna be at 4450. Absolutely has to reclaim 4385, like I said.  But that's about as high as I could see it. If we were able to get up that far, it's a, I mean, all three of these bars right here are just straight sailing balance. So there's a good chance it could run back up into supply. This is also a new supply zone. Because on Monday, we had a big run up and that led to straight selling. So your base candles is what leads to selling and your base candle is what makes up your supply and demand zones. So you got a red base candle here. So you got a red day leading to big buy imbalance demand. You got a green day base candle leading to selling supply zone. So as long as we're reclaiming 4385, I'd feel pretty good about getting back up there. But for right now, we do need to get over that. I do feel pretty good that we're still holding this demand and we bounced off it very well. If I had to show you on the 15 minute, I mean, it was right on point. Great run up. Actually bought the dip on QQQ on Friday. We traded calls on that. I think it made at least like 20% or something. Could have made a lot more, but you know, with OPEX it gets kind of sketchy. So I kind of play conservative on the monthly options expiration dates just because it gets a little crazy. So as long as we're holding over this demand zone, markets structure overall is holding okay. But I really can't see higher, you know, than the 44.50s or the supply area. It could make a shoulder as well. Similar to what I showed you on Palantir. It could just run up, make a shoulder and then try to come back down. Just your typical head and shoulders pattern. That's why I can't see any higher than that if we were able to bounce.  It's nothing crazy. Just at least until the 27th. Last week we were supposed to have an upthrust for most of the week, according to the seasonality. And it actually only did it for Monday and the rest of the week did the complete opposite. So seasonality is not law or religion by anything. It's not anything you should just abide by but it's just something to note. So SPX here holding demand looks good. If it starts to break under the demand zone, that's where you start to get a little bit worried. You could maybe say that this is also a little demand area. Looks like a little rally based rally zone. So it looks pretty good. That could hold up if it were to break. But this little free space right here is where it could flush. So you just gotta be careful with that. All right, next we're going into the QQQ. So what I showed you last week was QQQ breaking its back test. So it actually back tested August 3rd and it tried to bounce there. And then once I got under the back test levels, it did exactly what SPY just did last week or the S&P 500 or SPX, whatever you wanna call it. It did the same exact thing. Just it did it first. So the QQQ broke this before SPY did. So it broke on August 8th and then the S&P just broke its back test levels here, you know, the 15th or so. So QQQ is kind of leading the way. It broke its back test level, broke its structure, had a very fast flush. It tried to hold up our 363.40s. I think this is the support zone we had marked last week. And then Monday it bounced from the general area. It didn't get exactly to 363. And then we were looking for dip buys once it got into our demand right here, which is a drop based rally zone. This is the demand zone I was looking to buy the dip at. And it looks like it just straight flushed through it. I'm pretty sure I did buy the dip right here, right around this area. I think it was on this little upthrust candle and it took profit up there. Could have made a lot more, but this was the initial demand zone reaction.  I'm pretty sure I actually got, I tried it right here at the beginning of the zone. I got stopped out and then I actually took the loss and I went ahead and opened up a new strike and then I made some money on this pop instead. And I think it just brought me back to break even. So last week was a little rough trying to buy the dip, but there was still opportunities.  And then we just started straight flushing through it. But now on the one day, you can see even though we broke below it, it's still closed back within the demand zone and inside the structure. So that's pretty good sign that people are trying to defend it and bulls are still trying to show up. Ideally, I really can't see it past that 363.40s. So the same support zone from this little wake low over here. That's about as high as I could see it if it does bounce. If it starts getting back under this and closing under it, that's when I would start to get a little bit more worried. And that's when we start to go into the next structure. This is gonna be down here at about 348. You could probably just call 350 flat, a psychological level as well. You definitely want to stay within this area and also reclaim over 363.40s because if it can't do that, then the structures can start breaking and it'll start going down to the next level, which is just a tad bit lower at 348. So QQQ here looks pretty good for a potential bounce. Obviously, I want to see a little bit more from it. On Monday, you just want to see positivity. You want to see a nice cash open buy. You want to see just overall strength, VIX going lower, dollar also going lower. The dollar's just been on a tear lately, so we want to see VIX and dollar both going back down and also a good cash open, especially you just want to see nice buying, especially at lows like this. You want to see people urgent to buy and that'll give you good opportunities, especially when after it's sold off like this. So those are just some of the signals I'm looking for. VIX going down, DXY going down, hopefully. And I would be willing to buy the dip as long as the structure is still holding. And same thing for the SPY or the SPX. It's also still holding demand, so I'd be willing to buy the dip as well. We'll just have to see how Monday's looking. Stuff changes overnight, so our plans could change. But as long as this is holding and the SPX demand zone's holding, looks pretty good for a potential bounce or counter reversal trade. All right, next we're going into the IWM. So this has actually had a similar fate to the others. We're focused on this 189.24 back test level. I think we had this demand zone marked as well. I got rid of it because it went void, right? Once it gets under it and breaks and closes under it, that means the zone went void.  And I mentioned if they got under 189.24 and closed under it, that's when it would start flushing back down to the demand down here. And that's exactly what it did. And I believe I posted the first bar close under the 189.24 and then it had three days of selling following through after that. So if you ever get a chance, come to the X-Trade's Discord and you'll see a more updated version of the stuff that we go over. I post a lot of different things in there. So I sometimes lose track of how much I post in there. That's pretty much what happened. It broke the demand we were looking at, which is a little disappointing because it looked pretty good for a potential bounce, right? You got to test one, you got to test two. You had to test three hold up and then literally after the first bar or the second test bar, because this was a test and then this was also a test or at least an attempt to hold up.  So, and then once it closed under it, that's when it seals the deal. Once you close, start closing under the back test level. That's when the flushing starts coming in, right? You had all buy in balance right here. There was no demand candles until you get right here and look exactly where it bounced. This is a drop base rally demand zone. This is your base candle and it literally ripped right off of it on Friday. It dipped a little bit lower into it, but give you a really good entry inside the demand zone, like literally directly inside of it and then literally filled the gap within one 15 minute candle. So demand zones work really good and I recommend learning them. If you go to our X-rays YouTube, I made a crash course and I go over all four sequences on supply and demand zones. Literally go check it out, it's free. So free education is good. So pretty much there's a rally based rally. There's drop base rally. Those are your two different demand zones and you got them right here. And then for supply, you got rally based drop, which is right here. And then also you have drop base drop. Let me see if I could find an example on this. I guess you could call this a drop base drop. Drop makes a base drop, something like this. That could also kind of be a supply. So yeah, it's just four different sequences. It's all supply and demand is and they're pretty easy to draw and instead of focusing on just wick lows, you're focusing on the whole base candles. But I go over that in the crash course. Go check it out. It's literally free. So it's kind of got a search on the YouTube channel. So IWM here pulling into demand. Last week, like I said, we were focused on what he did on 24. Once it broke under that, your flush zone was back down to demand and now we're at that demand. So I feel like it could get a little bounce back up to the back test level at least. And try to test the 189s, maybe 188 again and then try to make resistance about there. That's about as high as I could see it. But I do see a potential bounce here just because you have a really good demand zone right here. And then there's actually more demand under that from previous areas. So it looks pretty good for potential bounce, at least short term. I feel like there's gonna be at least one more upthrust before we start getting into September. And then September is kind of when markets start shooting the bed. It doesn't have to, but I showed you the seasonality. It's usually mid-September. Looks like the 16th is when it starts to really pick up. So you gotta be careful. So that's where IWM looking for potential bounce. It's a pretty demand stacked area. So it's pretty good for moving back up to 188 or 189. And like I said, this is not just the price target for the week. I would probably look for it over a couple weeks or so. Obviously I usually keep my expectations for the stock market pretty low. And then if it ends up hitting sooner, then fine. That's great. And it makes it feel great too. But otherwise, like I said, just don't expect too much from the market and you won't get disappointed. All right, next we're going into the VIX. So looks like we were here last Friday. So we closed back under the 1553. So I was looking for a move up in the market, which we did exactly on Monday. It just needed to get back under 1553, which it did for two days. And I should close back under that. And then when Tuesday came, it was when the selling started to pick back up. We closed right back over 1553 and the trend to the downside picked back up. So all that took was just that one close back over 1553. And that brought us all the way back to the 17s and also the 1830s. So we've had this 1830s zone marked for a little while now. We're pretty much rejected right here, August 8th. And then also rejected here on Friday. So that's the level I'm looking for next. I'm looking for a close over 1831 to signal volatility is coming back for a move up to the 20s. Otherwise, if we can get back under 17 again, kind of like where you see right here, you get a pretty gnarly close right here under 17, another big bar under 17. If we can start getting back under that, it'll probably just fill back down to 1553 and just keep staying in this 15s to 18s range for a little bit. But then if it starts breaking over the 1831 with the two arrows right here, that's where it starts to get a little bit scary. That's where you start testing the 20s, especially if it closes over that. And that's where I start to get a lot more bearish is when we start trading over the 20s. When it reaches 20, that could also be a little short-term bottom signal because we've rejected the 20s a lot. So like I said, you need to see the closes over the major levels to kind of give you the signal. Similar to what you see right here, you got a big bar that closed over 17 flat and then it literally went all the way up to 1890s. And that actually brought a gap down in the market. So it brought the market even lower. So that's why the closes over the major levels is important because that's where the velocity starts to pick up. You can see just massive velocity once it got over 17s and started closing over that. But then it ran straight into the 1830s. So that's a resistance currently. And you can just tell from this bar that the 1830s is a resistance. So I'm glad we marked this because once we got up into here, maybe not wanna chase puts or anything like that. And luckily I didn't because the market actually bounced on Friday. So I filled the gap back up and it stayed relatively resilient despite the VIX still being over the 17s. I feel like the VIX is not as concerning until it starts getting over the 20s. So my extreme levels are pretty much once it starts getting over 1550s, that's an extreme. And then once it starts getting over 20s, that's an extreme. So right now we're kind of doodling in between that. So the next level, realistically is to get over the 1830s. If it closes over that, that's your move up to 20. What I would like to see because I wanna see the market bounce this week, I feel like the risk to reward is good. So I wanna see the SPX and the S&P bounce. We wanna see it getting under 17s and just flushing back down to 1553. So that'd be great. So what I'm looking for, if it starts holding it up, holding up the 17s, not a great sign. That's still relatively elevated in terms of the short and medium term. We definitely wanna see just falling back down 17s, filling up this extreme right here back down to 1550s. So that's your levels of focus this week. 1830s needs to see it close over that in order to go higher. Or if we fall back under 17, that's a good move down to 1550s if it closes under that 17. So this is your little inflection point. So we need to see it break one of those. All right, next we're going into the DXY, the US dollar. I'm guessing we had this 103.57 area of resistance. We needed to see it get over that in order to go higher. It actually stalled out here. Stalled out on Thursday, stalled out on Friday. Also stalled out on Wednesday. So it's been chilling here since Wednesday pretty much. We need to see it get over that. If it can get over that, that's when the markets will probably start to get a little bit more spooked. Once it got over the COVID peak, that was also an area to start getting spooked. And that's where it ran up into the next resistance. So the 2020 COVID peak or 103 flat. So this little breakout right here is when the markets started to kind of get some selling. And then once it got over the 2020 COVID peak, that brought a little bit more velocity. And then we just ran straight into the 103.50s. And that's your major, major resistance. It actually topped out here in July, had a really hard sell off. I'm guessing this is from the same time as the Fed, the July Fed meeting, which is likely the case because these moves were massive. So I'm guessing that's what, this is what the dollar downside was from, probably the Fed. And now we're right back up to it. So Jackson Hole on Friday, definitely going to move the dollar. Not sure which direction, but we can assume that the dollar is kind of finding a little local top here. I feel like it could head back down to the 103s. So as long as we're rejecting this 103.50s, and as long as VIX goes back under 17, that's a good sign that the market could have a short-term bounce. That's what I would like to see. Just because the risk to reward looks pretty good. And, you know, it's not September yet. So hopefully we can get another little, you know, squeeze of some upside out of August before, you know, things start getting bad historically. Which it doesn't have to. We don't have to follow seasonality. I would love to see September up, you know, if possible, but you know, you do have to keep that in mind. People go on vacation, Wall Street goes on vacation, liquidity gets low, and they literally leave us to battle their algorithms. So you got to be careful with that. But for DXY, like I said, need to break over 103.57. If it can't do that, likely just go into the 103 flat, which is a 2020 COVID peak. If you want to see more extremes, we need to see it under the COVID peak at 103 flat.  That would also probably meet you with the downtrend line breakout area as well. So it looks like it's trying to base out a little bit, right? I mean, it's hanging out up here. It's not going down, but it's not going up either. You probably even go to the four hour and see that's kind of trying to like make a pennant or like a little flag. So it looks good. If you're bullish on the dollar and you want to see the market go down, this could be, you know, basing out to go higher. But like I said, 103 57s showed you big resistance, having some trouble there. So have to see what it does there. Huge inflection point, that's for sure. But we guys have a great week. I'm going to get this chopped up, edited and sent out. I love you guys. Make sure you like, comment and subscribe to our Xtrees YouTube channel and I'm out.


Hello, today we will talk about what it means to be an AI ML product manager. My name is Sai Bandaro, I'm a product manager with Microsoft. My role in Microsoft is in the Azure Identity Team. I work with developing the identity capability that Microsoft offers. It has several components like multi-factor access, user signals and application, and various other features and relies very heavily on the latest technology. In terms of my background, I started my career as a software engineer with IBM and then I spent several years in management and security consulting, worked with companies like Deloitte and DY, and finally made my transition as a product manager recently. So as a PM, I worked with Facebook and now I'm working with Microsoft. Before Microsoft, or even like starting my career, I did my bachelor's in computer science. Later on, I came to the US and I did my master's degree in technology management. So I kind of was able to get a mix of both engineering and management in my education. So today, in terms of the agenda, I plan to cover four big topics. The first one being general primer on what the AI ML industry looks like. And then the second piece of the agenda focuses on the product manager role and how the team structure is slightly a little bit different when we are talking of AI ML products than your typical product team. And finally, we'll talk about some responsible AI features. Really, when we are developing products and we are trying to automate things, there's a lot of considerations that we need to make in terms of being responsible and fair and not creating problems. So starting with various AI and ML used, it's pretty much used everywhere. And in today's world, it touches many aspects of our life. Netflix looks at your past history of what you watched, what you liked, maybe your watch list, and then it recommends movies for you to watch next. And maybe if you click on it and you like it, it learns from it and it would recommend more such movies for you. Similarly, Facebook focuses its ads. And we all know there's a lot of machine learning involved there. Google has several products that use machine learning. For example, YouTube uses it for recommendations. There is Google Translate, which is used for natural language processing. Tesla is using artificial intelligence for cars. You can use it for the autopilot mode. And the cars are to some degree able to self-drive themselves. Besides that, there's even government agencies like IRS, which are trying to use AI to detect fraud and find people who are trying to do the wrong things. There's also AI everywhere in video games. Minecraft is one that's like virtually every video game has an AI component in it. It also has several applications in healthcare research and you name it. So before we start, I wanted to quickly level set on a few important terms when we are speaking of artificial intelligence and machine learning. The first one is what do we mean by artificial intelligence? So it's really a larger discipline where we talk about intelligence demonstrated by machines. When we speak intelligence, we typically think of human beings or animals using their natural intelligence. But this is more about systems and how they learn and how they produce results that are sometimes useful to us. The second terminology I want to talk about is intelligent agents. This is nothing but essentially any system that can kind of look at its environment, perceive that environment, learn from it, and take actions. That would essentially maximize the goal of that agent. One very simple example is a thermostat. We wouldn't really think about it being an intelligent system, but it is. It really looks at the ambient temperature and based on it being high or low, it can automatically adjust and make sure your house is warm or cold as you like it. And the final term I want to talk about is machine learning. Machine learning is simply a subset of artificial intelligence. The goal of machine learning is very specific that is to look into past data, train or learn from it, and then produce some outcomes that are meaningful to us. So it is kind of helps us accomplish artificial intelligence, but it is only like a subset of AI. Most of my presentation will be focused on how we can use machine learning in intelligent products and what the PM role will look like. So coming to machine learning, there are very few simple concepts that we need to know. It all starts with data. That's why it's very important. It's kind of the cornerstone for training models or for systems to learn. So having good data, good labeling is really important. And then the data is fed into something called a model. Model is nothing but an algorithm. There are several different statistical algorithms, predictive algorithms that can kind of predict an outcome based on the data you feed. And things that you tell it are important. For example, if you're thinking of Netflix recommendations, you could have an algorithm that can do some sort of analysis on past data.  As things that would be relevant, you know, are important factors to account. So a model would like take that into account and produce some results with probably some sort of a probability assigned to it, which says, you know, the likelihood of someone liking a certain movie or a series. And the final step is really validation. Okay, now we produce this result, but we really don't know whether it is, you know, relevant to the person or not, you know, for the good recommendation or not, how can we learn from it. So that's where we talk about validation and a feedback loop. So essentially if the person actually looks at that recommendation clicks on it and watches the entire movie. It's positive validation that the model worked. On the other hand, if the person dismissed that recommendation or said don't recommend movies like that. It is, you know, essentially a negative validation. So the model will learn from it and improve and hopefully show better recommendations. And then apply the same, you know, data and model based approach to solving other problems. For example, this is used a lot in identity fraud analytics in many products like Google sign in Microsoft identity as well. Essentially, you can look into like user sign in data, for example, what places they're signing in from the browser they're signing in from and several other factors. And then the model can, you know, use those factors and, you know, predict a probability on whether that sign in attempt is valid or not. If it suspects something, for example, if I signed in two hours ago in US and then two hours later I'm signing in from and from Australia, that is going to be a red flag. So then it has to do some sort of a step up or validation before allowing that person access. So essentially it's kind of, you know, you can see the same working model. And then you can talk about how your role of as a PM will be structured. The focus of a PM is still on the primary goals, which is basically improving the product right you will still be defining metrics, strive for a better user experience, you know, be that customer voice, help with prioritization, like new value within your product. So all of those fundamentals of the PM role are same. What is different is you need to be a little more convergent in how machine learning works because you need to work with a lot of people who made these products happen. And some basics are like kind of looking into the types of machine learning algorithms that are various regression based algorithms like came in and then came in clustering and you know all such kind of understanding the various machine learning algorithms, at least like the top five, you know, the commonly used ones and the trade offs, learning about sort of, you know, supervised and unsupervised machine learning how you can train models would be great as well. And finally, you know, it's like weekend activity you can, you know, go and practice at Kaggle.com it provides so many tutorials so you can probably spin up a quick project and play around with it that that would really give you the confidence to do better at your role. The next section is around how AI ML teams are. If we are talking about a typical product team, you would have your product manager at the center. And your main counterparts are going to be from the engineering probably five to 10 engineers to one product manager is like, you know, a common ratio we see in the industry. And besides that, there are like other supporting functions like documentation design legal marketing. Now coming to an AI ML product team, along with your engineers who build stuff. You also have a team of data scientists and the split of, you know, your counterparts is going to slightly differ because a lot of your time kind of work also goes into working with the data scientists and improving the models. You will probably not work as much with the engineers it's going to be a, you know, an even split more or less. And rest of the other supporting functions are going to be the same. The next section I want to talk about is responsible AI. So previously, initially we talked about how AI has so many applications right like self driving calls recommendations engines and all of that. And with all that there's also a fundamental aspect of responsibility that we need to think about as PMs. For example, a lot of the times the same PM business goals, like user retention or user engagement, increasing revenue, often have some undesirable consequences. For example, if you're a social media platform and if user retention and engagement is your primary goal, you would probably create content that you know, engages them whether it is bad or good maybe you know keep throwing some more extreme content at them and you know, sort of end up in a polarized demographics somewhat. There's all this unintended consequences you can have or if you're developing a game and if your main goal is user engagement, but then if the game is so addictive that people are not leaving their homes. It's, it's pretty bad as well, and it's not in the best interest of our customers here, promoting unhealthy behaviors and generally unhealthy world. The most undesirable consequences to be aware of like bias. If a lot of the time, you know, your training data is biased towards certain group of people maybe you know the outcomes of the machine learning will also have some bias as well. So in polarization, we also talked about that, which is, you know, a problem in the social media privacy infringement. You know, there are limits on what AI should know and learn from.  There are a lot of ethical issues with a big problem. There's several social media sites that have undesirable effects on teenagers and people having problems with their body image and such. And finally addiction that's, you know, that's there in social media or even like video games and a lot of other products. And to define a framework and, you know, hold yourself and your product in accountable to that. This is one sample framework but you can definitely define what works for you and what you think is important. But a few aspects that I want to highlight here are one, your product should be or your machine learning outcomes should be interpretable. For example, you know, again, coming back to the social media example that I given before, if sometimes like I think of something in my mind and somehow that shows up on my newsfeed. And I'm like wondering how did that happen, right, it doesn't offer any explanation other than, you know, keeping me out. So, that's that's one like good example. The outcomes of machine learning, you know, in your product should be interpretable, you should be able to connect how they got those recommendations even if it is not directly obvious maybe you should tell them how you derived a conclusion if you're recommending them something or, you know, asking them to do something. Second thing is fairness. You want to make sure you are able to train your data with appropriate representation from everywhere. There could be problems with bias in your outcomes. The next big aspect is safety.  So, and you can think of it in any way right if you're thinking of a self driving car it could be potentially making sure the experiences accidentally and you need to be really really sure when you're trusting a car to drive itself. The next big aspect is being compliant. So GDPR, the European Commission has dafted a lot of legislation around how companies should use and protect user data. So people should be aware of those applicable regulations even if it is not applicable it is good to kind of build your products so that, you know, they, they are built according to like good practices and frameworks that are already recognized and in use. We don't want our products to be addictive. A lot of the times you could have some interrupts so that people take a break and they're not hooked on to your product forever. And final one is obviously privacy. We want to make sure people sell data or personal information is protected it is not compromised and not used other than in an authorized way. We don't know how their data is being used. If you're interested in more responsible AI frameworks, you can look into the framework from European Commission. Microsoft has a nice one as well. Google has published a pretty detailed one. So I provided links here, feel free to take a look. Now to summarize, kind of have three main points or takeaways. One is, it's always good to have some understanding of how machine learning works so that you're conversant and much more effective in your role as a product manager of an AI product. You can quickly try out tools like Kaggle.com and, you know, learn a bit. You don't need to be an expert or a data scientist, but it's always good if you know it. A lot of the time this is also a good entry point in general like if you're already a data scientist or if you know, you know, very well about machine learning. And, you know, and if you're looking to transition into product management, AI ML products are like a good pathway for that. The second takeaway is to understand the differences and how the product team is structured and how the product life cycle is also different than a typical product. In AI ML, there's a lot more experimentation, there's a lot more involvement of a data scientist. And that role becomes much more important. And that's like an important counterpart of the product manager. I'm really pleased to incorporate responsible AI into your product, make sure you have a framework if your company hasn't defined one. And it's always helpful to create better products, make sure users trust your products and, you know, you're creating a better world in general. It was great. Thank you for the opportunity to speak.


Do a quick stream just rotate my camera because it's easier. So I have this quick example of Quick example of a neural network training So I have this as I saw it That we are trying to predict It's shape. So for example, if it was the stock market or something we could have Try and predict it where it's gonna go next lots of fun You can control your parameters from here. So the training set size currently there was I think 18 a Data points by default you can increase it say to 30 the number of hidden layers First hidden layer second hidden layer You can also change the noise level. So say let's keep it at point five Let's see how the neural net is learning. That's essentially its performance in Green the error trend It's getting to point Point two no point one and that's the prediction result So if we add say more It is See if it does any better then we could also check how it's performing in noise. It's all Running in the java script So when deployed on the website that will be running in your browser There's a couple things That we need to fix before publishing this So currently the Styling for this page is not great Well, because it stretches the text and everything else doesn't really fit The page no it does but it's Yeah, it's still a bit funny. Yeah, you can keep changing parameters on the fly. Yes, we expect the Lower Performance with low with less data points in the training set. Yeah, so it's essentially Not being able to converge Takes some time as well Yeah, we really need a bot to if fix this Or us Page Breaks music breaks. Do you like this music or not? Let me know. I don't have a CEO or anything talking in my ears. Just be monitoring the sound from another device Just to make sure I'm using the correct Microphone Okay, so how do we improve this thing? First of all when we use GPT for we can't code we have a GitHub co-pilot there as well commented out the Child script instead of this CSS Okay, now it's better And the CSS does something to the charts Don't Charts once Over there. Hey, we'll fix it later GPT as well pop in the HTML and JavaScript now question is What in the HTML controllers is not currently being used in JavaScript as several controllers for the neural network configuration Which values Used so this is will be the activation function a Optimize A box batch size. We have a activation function option value sigmoid done Optimizer Adam CGT other grad those are standard options and The loss function is being concluded by a mean square there mean absolute error or mean squared logarithmic error This is not currently being Implemented We have to change our JavaScript Have a train model function So currently you're looking me at the training size a hidden layer size and a second layer size activation optimizer loss function a box the number of epochs and batch size a This constant model will take the activation as well We have a model Compile that will take the optimizer and the loss function and What else what else? compile Get the training that Can remain the same That they are a trend chart Yeah, what about they're a trend chart Yeah, we need to regenerate the Can we regenerate the whole train model a sync function? currently epochs and batch size a Variables are not being used see if it can do that So obviously we're using a GPT full disclosure It's right rewriting this Train model shall we split it into train model and update charts and is the separate functions? I think it's actually doing it already. It's more a to smart dynamic training configuration now using epochs and batch size correctly controlling the training loop and the number of samples per gradient update respectively Doing a chart management as a separate thing. Okay, shall we a Comment all function out this girl the team there show all the functions are Used a Okay, that's not cool box must be a much large number With the training stuff training stuff is not visible Good thing about 24 is that we Do this And they are couple of problems a First of all the training data is not visible on the top chart Many other issues Any other issues the batch size Why is this not updating the train that should be visible in the top chart? Data drinks have been correctly plotted We have a fox a learning rate Can we fix the Original thresholds and default values in the html so the whole thing works better Make sure that the training Data is actually visible on the top chart Be nice to fix the following JavaScript code as well Can it's to html adjustments first? so the learning Learning rate and the minimum value can be reduced Maximum value point three Textual weight value point oh one a number of a box needs to be increase a max of one thousand Minimum then Let's go for a value of a 100 a batch size go between 10 and 120 a default in JavaScript train model might be a problem with that Okay, we have three set Shards have the Training loop training loop this goes Oops don't get it Don't get it. You know we have the training data It's not quite a sinusoid is it a we won't prompt just Sometimes it just needs to correct the data and we will see if it It makes a difference the training that blue line is now visible. So that's great the training and prediction lines are Not overlapping much much indicated model predictions are not aligning with the training data This could be several reason. Well, also training data Should be a sinusoid That's a bit odd that it isn't Also any idea why the training data is not the sinusoid How to fix the code just be a sinusoid before a Get training that the function Incorrect data generation We are regenerating the get training data have this size as an import I can really see The difference was train model function I'm not plotting it correctly. Are we so we prepare the training that the plot it something wrong Every time you're asking it something it's generating a new function Which is not great Okay, we also need to Generate of that Visualize chances not to find what? If a kid have copart can fix this quickly Okay, I'll be finishing up in a sec. I didn't know if there's any questions about binarykills.com If you haven't checked it Already, please go do so. He will be supporting the project this way I'll say bye-bye You


Hello and welcome to another session on geometry and we discussed in the previous session that we are going to discuss triangles and we are going to deal with its properties We have been just dealing with triangles all our life, you know You know, whether it is a sandwich bread or whether it is a snack or a pyramid or you know, you know, simple in the traffic You you deal with triangles every time. Yeah, it's very common geometric shapes in childhood We have been studying about it. Now is the time when we will be Finding out a little bit more about it and learning its properties Now as the name suggests try angles The word can be broken down into two words try and angles angles you already studied in the previous sessions. So now How do we define triangles then so triangles are nothing but polygons first of all polygons the most elementary polygon you can You know, imagine a polygon. What is a polygon poly means many gone means side. So, you know, hexagon, heptagon, decagon Triangles, square, quadrilateral, all these are polygons, right? So, you know Closed figure. So what is polygon? Call you polygon is a closed plane figure Okay, planar Figure right that means the figure must be drawn on a Plane that is for example while you are doing it on a piece of paper on your notebook So it must be the entire shape should be on the plane on the same plane, right? So you will be asking can there be any other geometric shape, which is not totally into one plane? Yes, a sphere a cuboid you cannot imagine a cuboid over a plane, right? so a polygon what is a polygon polygon is a closed planar figure and Depending on the number of sides we have First of all triangles then quadrilateral then pentagon then hexagon and things like that so triangle is a polygon, right and Polygon with three sides with Three sides, right? So the minimum number of sides to frame a polygon is Three so you can't have a polygon with two sides, right? So these two sides You know, so we basically you can't close you can have a you can't have a closed figure using a using only two lines Right, so hence that's the constraint that's the constraint with two lines Is it it so you can? However have three lines Right three lines joined together to make a polygon Correct, right. So this is what is a polygon Right, and this is actually a triangle now you can imagine, you know polygon with four sides This is a quadrilateral then you can have pentagon Okay, so you can have pentagon also. So one time will be five sides correct. So this is Pentagon right so Likewise, you can have hexagon with six sides So this is pentagon. Sorry. So with six sides you can have hexagon like that So you can have any number of You know or different types of polygon with any number of sides But the side minimum number is three. So we are going to study the first elementary polygon that is the Triangles, right? So that's what is the scope of this series. Let me just remove them Yeah, so what did we learn triangle polygon a close plane figure with three sides? Okay, that's good enough Definition so what all characteristics or you know, let's say parts of triangle are and how do we name them? So we use English alphabet letters to Name them. So for example, this triangle can be named as Triangle we make this Greek letter delta sign Okay, Delta Delta is for triangle So Delta looks like a triangle isn't it? So what is the Delta basically Delta is nothing but Geographic feature the mouth of the river where it meets the Ocean or the sea right? So the water actually gets distributed and the top view looks like a triangle So Delta right since Greek letter Delta and then we write the three letters ABC like that So this is the triangle ABC Triangle so name of triangle becomes triangle ABC Okay, now a B and C These are called vertices Vertices is plural of vertex vertex Okay, so ABC are vertices then a b BC and C a are sides edges Right, so either they are slides or edges of triangle ABC, right? And then we have three angles This one this one this one. So we have angle ABC Then angle BC a and then angle C a b these are three Angle so we see This is what are the let's a feature of triangle many a times We also name or name them using some numerals like that. So you can say angle 1 angle 2 angle 3 okay, now Anything inside the bound figure this is called interior interior of the triangle Right, so if you see this is called interior and everything outside obviously will become This side this side this side. This is called exterior of the triangle Exterior of the triangle Isn't it so what do we learn we learn that In triangle, what is a triangle triangle is a polygon so closed planar figure closed means, you know It has boundary so it divides the plane into two parts or other three parts the triangle itself can be another part So interior exterior and the triangle itself then it is bound by three sides and it is denoted by a delta symbol and followed by the three Letters ABC there is no need to follow one particular order in naming So the same triangle triangle ABC is as good as This is same triangle BC a so you can have in any order The naming you can name the triangle in any order and then a C a B Right in any order you can name it no problem, right now


And now, tonight's presentation of Radio's outstanding theatre of thrills Suspense Tonight, we bring you a story of intrigue and ideological murder So now, starring Mr. Ben Wright, here is tonight's suspense play, The Music Lovers Any word yet, Mellonson? No. Where's the car? Around the corner. Washer's listening in What's the matter? Oh, a bit of the pip, you know. Schoolboy's buggy Ackin' Corf Oh, you've taken anything for it? Everything Oh, you're bad Just got to stand by from Sergeant Flint, sir Good Chover, where will you? The coal's standing out here Brace the loom, arm strong, Sidley Number plate LXP 574 Proceeding west on Arrow Road Just past Hazel Road intersection I'm following. Over Let me have it, will you? There you are, sir To all cars, this is car 1A Form roadblock at Scrubs Lane and Arrow Road Flint, how far away is he? Over At half a mile, sir Right. If he turns off, let us know. Out Out I jump on an Allison. Next corner, Walsh You know I don't like to stand on the running board, Hendon Make you forget the pip I'm going to sneeze Hazel Bless you Blast you Walsh Yes, sir Park behind that squad car, pulling up Yes, sir Hope he smashes into the lot of us. Serve you right Serve him right too Well, now all you have to do is wait Here he comes It's all right, Malison They've got him. Have a look in the car, will you? Right Man, you won, sir That's the one Now You wish to make a statement? Ask mine Where's Jeffery Spencer? Don't know what you're talking about Hendon Yes Would you come here for a second? What's up? In there Back seat It's Spencer Oh Dead? I don't think so But from the looks of what they've done to him, he should be He was dying Slow, sad death There was no comfort in his leaving No face or voice of a loved one Only men in uniform Strange men who wanted to be kind but couldn't Jeffery Spencer was a statistic Aged 37 Employed by Stain's aircraft industries Senior engineer Associate designer of experimental jet aircraft HX-331 Romanticized as Stain's Superhawk Jeffery Spencer Missing for six days Believed kidnapped by agents seeking classified information on HX-331 A statistic Flying in the back seat of a grey car A beaten, smashed body Eyes staring up full of pain Full of tears Ambulance is on its way Is he conscious? Yes Has he said anything? He can't very well Mr. Spencer Can you hear me? Just blink your eyes twice if you can Good I will have you in the hospital very soon Do you know who the men were who did this? Just blink your eyes once if you want to say no You've never seen them before? I see They tried to get information from you about the new jet aircraft Did you give it to them? Good man Do you know how many there were? Five Four Uh-huh Yes Were they English or foreign? Mr. Spencer Mr. Spencer Close his eyes, will you?  I don't imagine he thought much about it at the time Excuse me, sir We've identified the driver, sir Harold Gibson lives across the road Oh yes, I know who he is Must have been coming home What the devil was he going to do with Spencer? He doesn't say anything No sir, bad bog in this one All right Sergeant Flint here yet? Yes, sir, he's waiting with the prisoner Look here, Hendon, there's a nice quiet empty shop over there Why not let me take Gibson behind it? I'll find out who the others are Don't you think I'd like to do that myself? Come on, we'll see what we can do Everything all right, sir? No, Flint, it isn't Oh, Gibson The man in the back seat is dead He was beaten and tortured and you're under arrest for murder I don't know nothing about that I didn't even know anybody was back there Really? Well, before we take you down to the yard we're going to find out one or two things from you Take my bitter oath, you're dead Inspector Mellonson, where did you say that empty shop was? Across the road, of course I was there Right Hey there, what's going on here? There's Sergeant Flint Yes, sir? Detective Ward Yes, sir? This is going to be absolutely against regulations You understand? Yes, sir What are you going to do? We're all going for a nice walk across the road Now, what are you taking me? If I'm under arrest, I've got my rights, I ain't done nothing What are you up to? I won't... Oh, Robert, you can't do that If you dare put a finger on me, I know the law And about that guy, that's too far down Somebody must have put him in there Now, what are you going to do? You can't hit me, now you... Oh, you're only trying to frighten me That's it, a lot of good that'll do, yeah Flint, Walsh, hold his arms Stand him against the wall Yes, sir I know about you, champ, you can't do this I'll report the law to you You can't do this We'll see Now, loosen his time-caller button, will you? Yes, sir That's better Now, Mr. Gibson, I think we're ready No, no, no I want you to have a picture in your mind of Jeffrey Spencer's face when you and your friends were finished with you We'll start with the names of the other men There were four of them, right? I don't know, I mean, there were What was your part in it? Just reaching for a cigarette, Mr. Gibson You're quite nervous tonight, aren't you? Have you ever noticed where the flames the hottest, Malenson? Oh, yes, I suppose on the... Cigarette tips even hotter, though Now, Mr. Gibson, I'm going to tell you something You took a chance for whatever reason you had to engage in work against a man who had done you no harm and against this country If another man is dead in the country, as you know, is in danger As a policeman, I would be remiss in my duty where I not to at least venture an equal chance to get information from you It's against the law It's against the law So is murder Now, the names of the other men? No, you let me go, let me go Now, you men are all witness to the fact that the prisoner is attempting to escape If his arm is broken in the process It's completely within the law Oh, I swear it, I don't know They paid me down about when they tried to get Spencer to talk, that's all I was to drive him away when they'd finished Ah, that's much better Now, who hired you for the job? Chamber of the aircraft factory Stain's aircraft? Yes, I was a sweeper Bloke asked me if I wanted to make a few queries You work there, too? I don't know, I never seen him before He'd come up to me as I was leaving It was outside the gate Why should he pick you? I'll tell you, I don't know All right Where did they take Spencer? Place in Bronzebury Road Number? 58 You get that, don't you? Yes, sir Who owns the house? I told you I don't know I never went inside, I just hung about like I was told till they wanted me Can you describe the man who hired you? I don't know Torbloke, but your size, thin I had a scar, I thought he was left-handed Talked like a gen Where were you taking Spencer? I was going to leave him by the railway goods yard They said he was dead anyhow You know, Gibson, in a way I'm rather sorry you decided to talk It would have been a great pleasure to Oh, take him away, Walsh, get him down to the yard Right, sir Get a move on, Gibson There's no rock to do that Mr. I might be hearing all about this Wait, you tell your brother here Oh We're going to be in for it all right when the commissioner gets wind of this No, not we, just me I wanted you to help You didn't do anything Would you have done if he hadn't talked?  Well, you didn't hurt him, sir Questioning under duress, the same thing Oh, well, let's see if I can get this cleaned up first Now, what was that address, Flint? 58 Bronzebury Road Well, it wouldn't be full enough to hang a boat up to this I know, but we can have a look We had already known a number of things about Harold Gibson Among them, the fact that he was employed by Stain's aircraft works The fact that he was a numb member of a subversive group which, up to that time, had engaged in nothing more physical than the passing out of pamphlets However, special branch had learned after the kidnapping of Jeffrey Spencer that this group was immediately involved We'd put a close watch on Gibson believing that he might lead us to the kidnappers What we didn't know when we arranged for his arrest was that he had picked up the body of Spencer from the address on Bronzebury Road Somehow, you must have given our men the slip Inspector Mallinson, Sergeant Flint and I drove out there We took two squad cars with us and I had an idea that we were going to find number 58 Bronzebury Road vacant But I was wrong Pretty swank looking Four cars, lots of lights Quite a party going on Nice party But when they play murder I've got the other men posted behind and outside the French window, sir Alright Ring it again, will you, Mallinson? Yes Scotland Yard, Chief Inspector Hendon Yes May we come in, please? I don't understand, was there something the matter? A great deal, sir But I'm having a little music My friends, I think you've made a mistake This is 58 Bronzebury Road Yes Who is it, dear? The police, Jenny, I can't imagine Oh, dear, there's a draft Won't you come in, please? Thank you Talk to them in the study, Leslie and do hurry, dear Oscar's promised to play Beethoven next Excuse me This way, please It's really very awkward, you know I haven't the slightest idea why What's it all about? Do you mind giving me your name, sir? Leslie Anderson We understand that a man named Spencer has been held in this house for the past five or six days What?  Exactly what I say Held here? By force? Yes You must be mad It's a practical joke Not very funny No, it wasn't very funny for Mr. Spencer, either He was murdered beaten to death Good Lord But why do you think that I... I don't think anything yet, Mr. Anderson However, I should like permission to search your house, please Blast it, all this is terribly embarrassing I'm sorry What are my guests going to think? I haven't the slightest idea, sir Well, I suppose it's your duty Do you mind waiting a moment? I'll call my wife She'll take you upstairs And for heaven's sake, don't wait the children Sounds as if our friend Gibson was lying to save his skin I think we've made a bloomer, old boy Do you? I don't Oh Gibson said a man approached him outside the aircraft works, remember? All thin man about my height Oh, yes Have you noticed the back of Addison's left hand? No No, I didn't I did Nasty scar on it Man who hired Gibson had one, too Hmm Mr. Leslie Addison You are listening to The Music Lovers Tonight's presentation on Radio's outstanding Theatre of Thrills Suspense With uncanny astuteness and with unmatchable speed The FBI in peace and war breaks open A vicious multi-state racket In the shipment of perishable foods By playing on the greed of the wife Of one of the racketeers Involved in the tense story you'll hear Over most of these same stations tomorrow night If you like your drama packed with action You'll really get a charge out of the troublemaker Tomorrow night's thriller on the FBI In peace and war And now we bring back to our Hollywood soundstage Mr. Ben Wright starring in tonight's production The Music Lovers A tale well calculated to keep you in Suspense 58 Bronzebury Road was a pleasant house Quite large With all the evidences of comfort and children Which would deny that such an incredible And foul murder had been committed within its walls I left Flint and Inspector Mallinson To search the downstairs floor And where Mrs. Addison went up the staircase The whole thing seemed quite impossible This rather tall and lovely grey-haired woman The music in the drawing room floating after it But I kept thinking of a scar on a man's hand I suppose you want to look into all the rooms, Inspector? Yes, please My husband tells me that you think a man was murdered here Quite right, Madam This is my son's bedroom I'll put on the light But please make as little noise as you can, he's asleep Only nine, you know Would you mind telling me what you expect to find, Inspector? Where a murder has been committed, Mrs. Addison We look for anything that may help us in a solution Oh, my daughter's room She's 13 A likely age for a murderer, don't you think? Uh, um, that door My room and my husband's You'll find no skeleton in that cupboard, Inspector Don't you feel rather silly about this, Inspector? If you've made a mistake, we shan't laugh at you We shan't report it either That's very kind of you, Mrs. Addison It's utter nonsense You don't think for one moment if Leslie had done this awful thing That we should have allowed the children to be here, do you? The very fact that he might have done it at all Seems to make the qualifying element rather academic Hand on! Yes! Something down here! Right! I hope you don't mind if I return to my guest Not at all, madam We may have to join you in a little while That would be extremely impertinent of you Uh, police, crime, arrest They're all impertinent, Mrs. Addison I find your manner unspeakably rude Both my husband and I have tried to help We thought this was an important police matter We shall report it to the commissioner in the morning As soon as you will finish your ridiculous search I must ask you to leave the house You know, I wouldn't be at all surprised if that lady Turns out to be the leader of this mob Hmm, pretty cool What have you found? Hmm? Oh, down this way We were quite convinced by now That this house harboured the core of a fanatic group Whose seeming harmlessness made their operations All the more dangerous Malenson led me to a room at the far end of the house A room which was sound proof That we knew that when we closed the door And the sound of the music was completely obliterated Hmm, looks quite inoffensive, doesn't it? Desk, futures, books Yes, it does What did you find? Well, they're pretty careful to get rid of all traces of Spencer's residence in here But they missed something Look at this, on the carpet Hmm? Hmm, it looks like impressions of a cot or a couch That's what I think The kids don't even know he's in here They can't hear a thing outside What a charming couple Oh, lovely parents too, I'll bet Kiss the children goodnight And then come down and tear out a fingernail or two You know, the awful thing is that they think that what they're doing is right And they pass the poison on to a nine-year-old boy and a 13-year-old girl Hello? Did you see this? What? Yeah, under the desk They should have watched him more carefully Like a stain or a copy or a tea or something Yes, it is Convenience stain? Spells GS Hmm, see? He left his calling card for us Jeffrey Spencer That does it Right Oh, this is going to be a nice thing for the kids upstairs Mother and father are arrested for murder and treason Yes, well, maybe it's better for them now than later What the devil are we going to do with them? Well, we'll take them along and then investigate relatives If we find somebody with a healthy mind, perhaps they'll take them in Come on, let's get it over with We left the soundproof room And I shut the door on a modern scene of inquisition There were eight people in the drawing room, including the Addisons It was an extraordinary tableau Music, warm winter fire Brandy glasses Friendliness of an upper middle class home And the people, the only dissonant note They watched us come in, wary, perhaps a little frightened And as I looked at the faces, I wondered how many of them shared the guilt Are you satisfied now, Inspector? Yes, thank you I'll see you to the door Mrs. Addison, will you please wake up your children and get them dressed? I'll wait I think this is gone far enough, Leslie Ring up Scott and Yard There's no point to it, you know Now, if you have any feelings at all for your children You'll make it as easy as you can for them How dare you invade the privacy of my home? Come out with this frightful accusation We have proof that Jeffrey Spencer was held prisoner in this house And that you vainly attempted to extort government information from him He died from the injuries you inflicted All right, now, everyone in this room is under arrest If you're not involved, you'll not be charged The fairest British police I knew we'd live to see it Did you, Mrs. Addison? That's odd Because I hoped that I would never live to see what I'd seen here tonight Paid spies Living your lie in comfort with everything you condemn Wesson the people who hire you Someday we'll exterminate the lot And when we do, perhaps kids like yours upstairs will have a chance You ought to pass out tracts on a street corner, Inspector Guard and country Quite worthwhile reading matter, I think, sir Flint, ring the yard and I seem to send a van here with you Yes, sir Suspense In which Mr. Ben Wright starred on tonight's presentation of The Music Lovers Next week, suspense will be heard at a new time Be sure to check your local newspaper And join us when we again bring you another presentation of Radio's outstanding theatre of thrills Suspense Suspense is produced and directed in Hollywood by Anthony Ellis, who also wrote the night story of suspense The music was composed by Renee Garagank and conducted by Leith Stevens Featured in the cast were Richard Peele, Bill Shepard, Irene Tedrow, Raymond Lawrence, Stan Jones and Hans Conrad One of the best ways anybody can celebrate the independence of the United States this 4th of July Is to resolve and fulfill the resolution to be careful in handling matches, cigarettes and campfires Anytime you're in or around a wooded area Our forest land provides us with many of the comforts of our lives Trees help prevent soil erosion They provide shelter for animal life They help maintain watersheds And if we were to count up the number of wooden objects that each of us uses During the course of a single day, the number would be staggering If you love America, help protect one of our greatest natural resources Help prevent forest fires Stay tuned now for 5 minutes of CBS News to be followed on most of these same stations by My Son Jeep America listens most to the CBS Radio Network


Hello everyone. Thank you all for the incredibly warm welcome here at the Sherwood Co-op grocery store. The Federated Co-ops are a really important part of the economy here in Saskatchewan and across Western Canada. Co-ops are owned by more than a hundred and sixty independent local cooperative associations. Co-op grocery stores like these here in Regina are at the heart of our communities. I also want to recognize the important work of the Federated Co-ops to meet your commitment to reduce emissions by 40% by 2030. Thank you for your leadership on innovative projects to protect the environment, on everything you do to support farmers and provide the best quality food for families. I'm here today to talk about what we're doing to make life more affordable for Canadians. Two weeks ago, we set up our budget for 2023. It's a plan to invest in health care, create good jobs, build a clean economy, and it's a plan to make life more affordable. As you know, the rising cost of living has been made worse in recent years by the pandemic and Russia's illegal war in Ukraine. Even though analysts are predicting good news as inflation is coming down steadily, we know that food prices are still stubbornly high. I just met with families here for whom paying the bills is not always easy. As they told me, groceries remain a huge part of their budget. That's why we created the new grocery rebate, which will allow an eligible couple with two children to receive up to $467. This is a measure that will help make life more affordable for around 11 million individuals and families. We hope all parliamentarians will do the right thing and help us pass legislation quickly with the new grocery rebates so Canadians can get the needed support as soon as possible. The new grocery rebate is an example of what we proposed in the budget for 2023 to make life more affordable for people. We will continue to be there for families, workers, students, and small businesses. For small businesses, we're lowering credit card transaction fees. For students, we're increasing federal student loans and grants. And we've permanently eliminated interest on student and apprentice loans, which went into effect earlier this month. For families and for all Canadians, we also announced the dental care plan to make sure that everyone can afford to see a dentist. Our dental plan will provide dental coverage for uninsured Canadians with family incomes under $90,000 a year, and if your family makes under $70,000 a year, costs will be fully covered. This builds on everything we're already doing to put more money in your pocket. Tomorrow, a family of four here in Saskatchewan will get their spring climate action incentive payment worth $340. In total this year, a family of four in Saskatchewan gets over $1,300 back while we fight pollution. See, we're fighting climate change with the price on pollution while making life more affordable for the middle class and those working hard to join it.


Former Sanford Center executive director Curtis Webb has been terminated from VenueWorks. He is accused of using company debit cards for personal reasons. Webb was recently the executive director at the U.S. Cellular Coliseum in Bloomington, Illinois. Initial concerns originated from a personal charge on a Sanford Center debit card, resulting in a full investigation into activity in Bloomington and Bemidji to determine the extent of any further unauthorized activity. As part of the investigation, VenueWorks has enacted multiple procedures, including cancelling all company debit cards. VenueWorks corporate finance staff is currently reviewing all bank statements and accounting activity. Our feeling is that we're going to do a full investigation. Our COO will be here next week as well as our controller to start pulling through all the records and determine if and how much anything was done. After completing the internal review, VenueWorks says it will reimburse any outstanding unauthorized expenses to the city of Bemidji. In the meantime, VenueWorks will work with the city of Bemidji to determine further action.


My name is Claire Dubien. I work for Les Ateliers du Bocage in France and my job there is to develop the program, to develop the partnership, the training school and the beneficiaries network. I'm really proud to go to work every morning because I know that during my day I will help NGO to make their job better. It's really important to people to support the TechSoup Global Network because if you support TechSoup you will support all the TechSoup partners and if you support all the TechSoup partners you support every NGO around the world to change the world. So I think it's really powerful to help TechSoup to be bigger and bigger.


Hello dear learners, welcome to today's program. I am Dr. Pallavi Gugoy of Krishnan Phantahandik State University. Today I shall take up Unit 11 titled Remedial Grammar, where we shall discuss on the topic emphasis. The course is entitled Foundation Course in English Semester 1 Block 2. So let us quickly begin. First I shall begin with a table of contents where we shall discuss the learning objectives, emphasis, questions to check your progress and the references. So this is the layout. To begin with, the learning objectives, after going through this video, the learner will be able to define the term emphasis with relevant examples. The learner will also be able to learn how to lay emphasis instead of using plain assertive sentences. Define zero-cliff sentences with relevant examples and also learn the use of what clause in sentences with examples. Emphasis. There may be certain situations when our normal assertive sentence structures require modification for the sake of emphasis. In this particular unit we shall discuss how modification takes place. Let us begin by giving a brief description of what constitutes emphasis. Emphasis refers to the special force given to certain words, ideas or details in speaking or writing to show that they are important. Let us take a sentence. Anita borrowed the book from her teacher. The sentence is a plain assertive sentence providing a piece of information that Anita had borrowed a book from her teacher. Now let us suppose you want to contradict the information that Anita did not borrow any book from the teacher but Rita had borrowed the book from her teacher by making this statement. Rita borrowed the book from her teacher. Like the earlier sentence, this is also a plain assertive sentence providing a different piece of information that Rita had borrowed the book from the teacher. The sentence lacks force or rather the factor of emphasis is missing. You want to lay more emphasis in your statement by contradicting the earlier statement about Anita. Here is an example. It was Rita that borrowed the book from her teacher or it was Rita that borrowed the book from her teacher not Anita. Both these sentences are more infantic than the earlier sentence. Rita borrowed the book from her teacher. What we did was to rephrase the assertive sentence by using the ill clause with the form of the B verb. The two infantic sentences are referred to as clef sentences. The sentences about Rita as we had discussed in the example. So we shall grapple with the structure of the clef sentences next. Emphasis with pseudo clef sentence. Apart from the ill clause in clef sentences, there are other ways of emphasizing a sentence. The use of what clause at the beginning is another way of emphasizing certain information in a sentence. To provide you with an example, I need a good holiday in Goa. We shall use a what clause followed by a form of the verb B. Sentences with this pattern are another form of clef sentences. In English, a sentence with a what clause example, what I want, a subject or complement is known as pseudo clef sentence. Let us rephrase the sentence with a what clause and form a pseudo clef sentence. What I need is a good holiday in Goa. In this sentence, the what clause is the subject of the sentence. We can rephrase the sentence by making the what clause the complement of the sentence. A good holiday in Goa is what I need. The information that we want to emphasize is outside the what clause. We often use the what clause when we introduce a new topic in our classroom. When we want to give a reason, instruction or explanation or to correct something that had been said or done. What I would like to do today is to introduce you to the concept of the epic theatre. So, you see the example.  This brings us to questions to check your progress. Starting with question number 1, define the term emphasis. Question number 2, give any two relevant examples using emphasis. Question number 3, what are pseudo clef sentences? Question number 4, when do we use what clause in sentences? Question number 5, give any three examples of sentences using the what clause. I hope you'd refer to this presentation as well as the BA English Graduate Self-Learning Material or the SLM or Foundation Course in English, block 2 unit 11, semester 1. Thank you, dear learners.