Good afternoon, everyone. Appreciate you joining me here today for our Getting Started with Stock Investing. How many of you feel pretty confident in your abilities to quickly identify the better performing stocks in the better performing sectors and industry groups? Well, if so, good job, pat yourself on the shoulder for that. We' re gonna focus on that today because I know there' s a lot of you that would like to know that, and I' m gonna show you two tools to help you just kind of quickly build a watch list with that in mind. So hang on tight. We' ve got a lot to explore here today. I am joined in the chat by Lee Bohl. Lee So, Lee is gonna help me answer your questions.
He' s a great veteran of the market, fantastic investor and trader. So as you have those questions, go ahead, chat them in. Either I' ll try to catch your question or Lee will help me out, okay? Don' t want any of you to go away without it answered. And those of you listening to this on the recording, when you have a question, you go and type a comment or type in the comment section, and I' ll go back and review those throughout the week and get your questions answered as well. Well, let' s do a couple of initial things here to get started. I do wanna remind you that both Lee and I are on X, formerly known as Twitter. I am ConnieHillCS. Lee is LeeBohlCS, and we' ll post educational content.
Things that we happen to notice in the market might be going on, we' ll post about that. So it' s free. Go ahead, join us and follow us. Don' t miss out on those. Now, let' s go through some brief disclosures here and we' ll get going. Well, what we talk about today is intended for informational and educational purposes only. It shouldn' t be considered a recommendation of any sort. We' ll talk about technical analysis and combining that with fundamental analysis. We will be using Thinkorswim downloaded software here today. It' s very helpful, especially as you' re transitioning from say, StreetSmart Edge over to Thinkorswim. It' s helpful if you have some guidance there on how to do it.
And so all our classes and what we do today, you' ll be able to pick up on some of those things as we use that. Past performance of any security or strategy is not a guarantee of future results or success. Investing involves risk, including the loss of principal. Now, I' m going to come over to the chat and see if any of you feel pretty confident in your abilities to quickly find better performing stocks in better performing industries. Let' Take a look at, well, maybe not anybody but Lee and me. No, I' m kidding, but nobody responded. But I' m gonna show you that by the end of our time here together, hopefully you' ll feel pretty comfortable there. Now, I do wanna make you aware of some workshops that are coming up this summer.
Put them on your calendar if you' re anywhere close to these areas or can easily get there or just need a vacation, all right? Check out our Seattle, Anaheim, or Santa Clara events. They do book up for you. They do book up pretty quickly. And so if you' re interested in going, go ahead, go to our schwab. com/ events, register yourself. In fact, I ll show you how to do that in a moment so that you save your place because we do hit capacities and we do have to close them down when that capacity is hit. But if you even think you' re in the ballpark with it, go ahead and sign up. So some of you, okay, you' re responding to me now about if you feel comfortable being able to go out, find those stronger stocks, and the stronger sectors a little bit, but some of you are saying, no, I don' t have a clue.
Help me out here. So that' s what we' re gonna do. Now, just tagging off this idea real quickly about where to go sign up if you' re interested. Come over here to schwab . com slash schwabcoaching. This little calendar is going to appear. Now, the events that we' re talking about here don' t start until June, so I' m gonna go to the next month of June. I' m going to here, I' m gonna unselect webcasts because it' s showing both events and webcasts. It' s easier to find those events if you check that off. So here we are on the 28th of June. Here' s our technical analysis and options workshop. So first day' s technical analysis, the second day' s options. I believe Ben Watson will be part of that teaching crew out there.
So I selected on that. And then you can come up here, see where it says sign up? Yeah, click on the sign up, follow my big pink finger here. That' s what you' ll click on so that you can sign up and register for it, okay? So not too bad if you' re getting familiar with this little area on the Schwab website. All right, let' s head back here. And we' re gonna start out on, actually, we' re gonna start, we' re on the web browser. Let' s start out here. I' m gonna take us over to the schwab. com website. And the two tools that I' m gonna show you today so that you can find stronger stocks and stronger sectors. One of the tools is on Schwab. com.
The other tool is actually on Thinkorswim. And we' re gonna combine the results of each of our finds. Okay, so first of all, we' re going to run a little screener. So what I' m starting out here is I' m starting out on research. And then I went to US markets, brings us to this screen. It kind of shows us what' s going on today in the markets, right, with the one day highlighted here. What we' re going to do is scroll down a little bit. And we' re going to come down here to where it says sectors and industries. Now, it should be showing us some stuff here. Let me refresh my screen. There we go. And it' s going to show us for today, the stronger sectors and industries.
So today, consumer staples performed the best and consumer discretionary didn' t perform the best, right? One day is a little myopic. Right? And so we' re trying to look for trends and identify when those trends occur. And so, you know, somebody could come out here to a year, right? And see, well, which sector is the best? Well, guess what? Most of them are doing pretty well because over the last year, we' ve had pretty much some bullish conditions, right? And so we could see, okay, that whole year performance, communication services and information technology are the top dogs. And we can see that percentage. And that' s helpful for us to see, but it doesn' To help us know what is strong right now. It' s just measuring the past year.
We want to know about right now. So this 30-day, we' re gonna select on it. Find it a little bit more useful to help us see the trends, see what' s going on. So over the last month, utilities have been the strongest, then consumer staples, then financials. Performing the worst down here is energy. Real estate, which real estate' s kind of been down there for a while, and materials and consumer discretionary. So it' s interesting, these two sectors, utilities and consumer staples, typically outperform other sectors in the market when conditions might be getting a little concerning when the market starts to show some weakness. And, you know, we' ve had a little bit of weakness, even though our intermediate long trend is still continued up. So, all right. That' s interesting.
Interesting to know. It' s really curious to me that utilities is the best performing. I' m gonna tell you about some research I did to help me understand that in just a minute. All right. Hey, Lee, thank you for sharing that playlist with us for this particular class. You can go back. All right. So we have an idea utilities is a better performer. So let' s go searching. Let' s show you how to do that. So we' re going to come back up here to the top. And we' re on. Our research tools, and we' re gonna come down here to Stock Screener. Now, I built a little screener of some basic information that I think is gonna be helpful for what we' re looking to find. All right.
So let me just kind of walk you through those steps. Uh, if you' re not as familiar with this screener, the criteria is over here on the left side, we click on one of the sections by selecting ' on' the plus sign, and it' s gonna expand. If you just want to expand everything. So we can see what are all the choices to see here? So first thing, we' re gonna go after factors and industries. Can you guys see my big print, uh, pink arrow here over on the side? On the left side, I made it big and pink. So hopefully that' ll be easier for you to find. Some people have made fun of me that it' s an oversized arrow, but nonetheless, we' re gonna go with it.
We select. Sell. Selectors. Kind. Uh. want to focus on, right? We' re going to come down here. It' s alphabetic. Come down to the bottom. We' re going to choose utilities. And then if we wanted to not include any of these industry groups, right? So we start out with our sectors, then it goes down to industry groups, then down to individual stocks. And actually there could be sub-industries below the industry groups as well. Not every sector has sub-industries, but some do. All right. So here are these different industries. Again, if you have reason to eliminate some, you could, or maybe you were only going to focus on gas utilities, whatever, that' s fine. We' re going to leave it all on. We' re going to see, okay, who' s really doing well here.
And you can see over here on the right, it says we' ve got 218 stocks that fall in that group. Well, 218 is kind of a lot to weed through. Let' s put on some other criteria that will help us out here. So we' re going to come down. We' re going to choose price. And if you remember back to our sample investing plan, one of the things we' re looking for is for stocks to be priced at least $10. Okay. So we' re going to scroll down. There' s our next price that we' re going to choose. We' re not going to choose zero through 10. We' re going to go 10 and above here. So we' re just going to select on all of those. Nice.
We are now whittled down to 128. What else might be helpful? Not volume. Volume is going to be a real help here. If we go and say, let' s get the average volume. So we' re going to use this one over here, the left-hand side, average volume in the last 10 days. And again, we can choose from the sample investing plan. The suggestion was to use a $250,000 to $500,000 trading on average as a good starting point, because we' re looking for lots of activity happening with the stock. We don' t want a stock that' s sitting there with 300 shares traded in a day. That' s not going to help us get in and out, right? So that' s why we' re going to look for a minimum.
So I' m going to come up here. We' re going to start at $250,000 and higher. Okay. Anything lower than 250, we' re not interested in for our purposes here. Now we' re down to 60 stocks. Okay. Now we' re talking a little bit easier to sift through the pool. Now there s one more thing I want to add here to help us in terms of, are these stocks growing? Are their growth, their growth rates looking up versus looking down? So what we' re going to do is we' re going to come to, let me see which one I decided here. We' re going to go to company performance. I was tinkering around with several different ones. And the one I ended up here was on the estimated earnings per share growth.
I would love to see those increasing versus decreasing. So we' re going to choose here. We' re going to choose this one that says next year. That' ll take the current financial year that we' re in right now. Compare it to next year' s projections. Okay. How good would we like it to be? Well, it would be stupendous, right? If they were huge, but we have to be realistic. Utilities in general are not big high -flying stocks. Most of the time, they haven' t been known to be that. They' re kind of like, the slow and steadies, right? Where we don' t expect extreme rates of growth in them. But we do like that consistency, right? I know I want my water and my gas and my electricity.
Yeah, I want those available all the time. I never want those turned off. Okay. But again, they wouldn' To be in the same kind of area that maybe some stocks that are, say, technology stocks or consumer discretionary stocks that have just really been high flyers. Okay. So what' s realistic here? I mean, yeah. Would it be great to have something over 100? Well, sure. But there' s one. Okay. So we' re actually going to choose all of these because I want it to show when we export these results. Okay. So this is going to be our scan and it' s going to bring back 58 stocks here. Let' s go see what they are. We' ll do all 55 matches. And I want to just kind of scroll up here.
And I want you to see that it is showing us the price, showing us the sector because we chose it, right? How much the average volume has been. And then this estimated earnings for next year' s on some growth rates. Now, most of these you can see are single digits. There are a few that are higher than that. So we' ve got this 116. That' s kind of nice. I' m not sure how minus 24 sneaked in here. Okay. I don' t think that' s going to be desirable or minus. 40%. Now, what we' re going to do, we' re going to export this list to Excel or a spreadsheet program. I have to tell you, I haven' t tried it with any other spreadsheet program.
I don' t know which ones might work and which ones don' t. I' ve only used Excel. Okay. A lot of you might be Excel users or you might use something else. So experiment there. And what we' re going to do is, if you wanted to save the screen, go ahead and give it a good name. Don' t call it Connie search because Connie shows you lots of different searches. And then down here at the bottom, let' s see, this is just showing us, I guess we have 60 per page. So this actually is showing us all. And we want to export it to a spreadsheet. And so we' re going to select on this little icon here. Do you see that big pink finger pointing to ' Export to CSV'?
CSV just stands for comma separated value. It' s just a way that it' s formatted so that Excel can use it. And you can look at it and see what' s going on. So we re going to export it to a spreadsheet. So we' re going to say, okay. And up here it' s bringing up the results to a spreadsheet. Here' s the spreadsheet. Let' s see. Oh, let' s get rid of this one because I just did it fresh. I was playing around with it earlier in the day. This is the one that we just got. All right. So we can see the different ticker symbols. Looks like they' re all alphabetic. Look at this on the earnings chart. This is the earnings chart. This is the earnings chart.
This is the earnings chart. It' s per growth. In fact, I was going to sort that by that before I got out of our little screener there, but I' ll sort it here in Excel. Okay. I want to sort it by these growth rates. So let' s do a data sort. Let' s see here. I haven' t done any sorting for a little bit here. We' re not doing any conditional formatting. Let me think. Do you know what I' m going to do? I' m going to close it. I' m going to close it. I' m going to close it. I' m going to close it. I' m going to close it. I' m going to go back to our source. Let' s get rid of that.
Let' s go to our source, and I' m going to sort it on the earnings per share growth rates first. And so we can see the negative ones are there. I' m going to select on it again. So the higher ones are at the top. Now I' ll export it. This will make my life easier and yours. Then I' m going to bring it up in Excel. And there we go. All right. So now we can see on here, let me make this sure. All right. So now we can see on here, it should be there a little bit bigger. So it' s a little bit easier to see you' re not squinting at it, right? Or grabbing for your glasses. All right. Earnings per share growth rates.
Now, if earnings per share, suppose you were a business owner, and if your earnings per share compared to the current year, your projections were up 116%, that could make you smile, right? Interesting here. Now, you might say, well, I don' t want to look at all of them. Let me just look at the ones that are the better statistically, okay? Because we know they all have the minimum volume. They' re at least $10. They' re all in the utility sector. And now we' re going to just use this growth rate. Now, for purposes of just kind of having a range to work with, we' re going to stop at around 7%. So what I' m going to do is I' m going to come over here on the left.
I' m going to highlight these ticker symbols. As I go down the spreadsheet, and once I get anything in the 6% range, I' m going to stop. All right. So we' re going to stop here at this ticker symbol, EXC, that leases growth rates for 7%. Now, that' So not a number you have to go with. It' s just one that I' m going to use for a filter here so we can kind of narrow down the list a little bit. Because if you were saying, well, I' m not interested in any P that' s got a negative growth rate, right? You might just want to focus on others. Now, what I' m going to do on Excel, I' ve highlighted these ticker symbols.
I' m going to do a Control -C, which is a copy command. If you' re a mouse person, use the right click and edit copy. This is now stored on my computer' s temporary memory, okay? So I' ve got that. We' re just going to leave it there for a minute. Now, we' re going to go to another way to generate maybe some ticker symbols we' re interested in, in terms of proof. So we' re going to go to another way to generate maybe some ticker symbols we' re interested in, in terms of proof. So we' re going to go to another way to generate maybe some ticker symbols we' re interested in, Now, we' re going to go over to thinkorswim. So we hop over here.
That was my cheater starter, but I don' t want you to see that yet. All right. We' re going to go to the scan menu. And this scan is the scan I showed you one of our first couple of weeks when we started this series over. Okay? Ranjit, thank you for trying to help me to figure out how to generate these ticker symbols. Find my little sort button when I couldn' t find it. I appreciate that, giving me an idea how to try it out. Now over here, if you remember this little, we call it a stock hacker, this little screener that we created here in the first week, I call it my growth stocks class because I know it' s looking for growth stocks. So same thing here.
We had the last price of at least $10. That' s what we did on the other screener. Then we put in some fundamental variables. I didn' t put these into the screener in Schwab, but I want to modify this here a little bit from what the original screener was. So we did PE ratio between 7 and 80. And on growth stocks, some of those PE ratios get a little high. If you' re somebody that has worked with stocks, say in the past, and you were really focused on PE ratios, an 80 might be a little unsettling to you. And I get that. That' s what we' re going to use for our purposes here. And then we' re looking for return on equity at 15%. And then we' re looking for trends.
And on the trends, what we' re seeing here is, well, first, the average volume, I wanted it to be, initially I put in 500,000. We' re going to change that. We' re going to drop it to 250,000. But this right here, we' re looking for stocks. At least 15% higher than they were 65 days ago, which is about a quarter. So that' s our intermediate trend going up. And then this one, we' re saying a short-term trend, we want to go up as well, about 5% in the last 21 bars, which is about a month. Now, if we take this scan, I' m just going to run it real quick here. We might get around 53. Okay. It gives us 53.
Next, we' re going to say, let' s intersect this with our strong sector that we' re focusing on today, the utilities. So we' re going to say, we' re scanning all stocks. We' re going to intersect it with, we' re going to come down to the industry, which really is sector. And then we' re going to come down here to the bottom and pick utilities, or we' re going to say select all utilities. Now, I' m going to run this, and we' re going to come back with not an overwhelming amount of results here. Okay. But I' m, going to suggest to you we do something with that. Two stocks. All right. Two stocks. Now, what I wanted to tell you about these two stocks is they came up, they meet the criteria for what we' re looking for.
We don' t usually get a lot of stocks in the utility sector because they' re just not typically growth stocks. But I want to point something out to you. I put in an extra column here. This is not a default column in your search results. You can click on this little gear. Follow my pink arrow over here to the left or to the right. Click on the gear, hit customize. And then I' ve got a little script that' s a year-to- date percent change. I don' t know if it' s out of my scratch pad or not. Share it with you. But it is out of my X, out in the top post that I have there that I' ve got kind of pinned to the top.
I list the different scripts that I typically use in this class. And just remember, with any of those scripts, they' re not guaranteed as to accuracy or timing. OK, so one of them is this year-to- date percent change. Well, look at this. Who would not be happy to see that on their candidates coming back? Right. Sixty- three percent year-to- date. One hundred forty-one, one hundred forty- five percent year-to- date. Those are some extreme growth rates. This is not common in the utility sector. So I went to do a little digging. OK. Lee, if you have anything you want to chime in here, feel free to do so, because I know Lee really tracks the sectors as well and one of his classes during the week is monitoring sector performance.
What' s going on there? So I did a little research. I' m like, why do these keep you know, what' s the deal with these companies? And what I ran into just in reading through the news. OK, and I had to read through quite a bit of news. It sounds like at least with some companies that are starting to see some better performance, some of them are integrating AI or artificial intelligence into some of their practices. And therefore, some of them are performing better than they have in the past because of some of these new artificial intelligence tools that they' re starting to use to become more efficient in their operations. OK, I found that kind of interesting. I hope you find that interesting, too.
So, you look at this, you go, well, two is great climate. Maybe we could do a little bit more. After all, we got probably, what, 30 out of a Schwab website. So what we' re going to do here is I' m going to modify our original screener specifically for utilities because they' re not generally the big high flyers. So we' re going to take our return on equity from 15. Oops, let me get rid of that. That shouldn' t be there. We' re going to change it from 15 to eight. OK, we' re going to chop it in half. We' re not going to expect as much from this sector. If you needed to, you could decrease maybe this percent here. Let' s do it a step at a time.
If we change our return on equity at eight, let' s see what we get back. OK, seven. That' s what I got back earlier. So I expect that. And this is a little bit better group to work with. And if you look at this column here, the year-to-date change, most of them aren' t too shabby, right? But you could also say, well, require as much of a movement in the past quarter, right? Maybe 15% is a little aggressive. Maybe you want to change it to 10% here and maybe even change this to, let' s say, 3%. OK, those could be some modifications you make to that original stock hacker scan. Let' s see how many results we get back. A few more.
OK, so we get a few more by tweaking those particular fields. We' re going to save the results to this to a watch list. So let' s go ahead. We' re going to select on this little stack icon. We' re going to say save as watch list. And we' re going to call this utilities. I' m going to say May, what' s today? The 10th of 24. OK, that is the name of our watch list. We' re going to save it. And then what you' re going to see is it comes up over here. Over on this watch list, because we just created it here. OK, so now we have those stocks. That' s actually not the right watch list. That' s the one I was playing with earlier.
OK, the one we' re going to grab is utilities May 10, 24. That' s what I just named this, right? All right, now we have our 11 stocks. What we' re going to do at this point is we' re going to copy those stocks over from the ticker that we exported to Excel. We' re going to load it in here to this watch list to give us a pretty complete watch list we can work with. OK, now, if you didn' t do this previously, and I' m going to just kind of repeat this step because I' m doing it a little bit out of order. OK, you' re going to want to come and grab the ticker symbols you' re interested in. And as we discussed earlier, we' re just going to go to 7% is our bottom one.
Our EXC was the lowest symbol there. We' re going to copy these. So Control -C or Edit Copy puts it in the computer' s short-term memory. As we come back to thinkorswim here, we' re going to add that to this list. So select on the watch list, come down here and say Import. And then we' re going to select this top button that says Paste Symbols from Clipboard. That' s the computer' s short-term memory that we copied those ticker symbols into. And so it just starts listing them right up here. And then we' re going to add to the current symbols. We don' t want to wipe this out. We want to add these symbols to it. And then we' re going to say OK.
And now we have a pretty decent watch list to work with now that we Ve refined utilities down to what maybe we' ve got about 40 stocks now instead of 218 or whatever that number was. All right. I' m going to just look over here at my chat, see if there' s any questions I need to answer here. And I want you to tell me, do you think you can now go and build your own watch list? Do you think you have the steps down to be able to do that, knowing in this case, if you' re trying to do it for utilities, for utilities? I want you to answer in the chat here. Oh, let' s see. Wiley says, I have added JBTrend script.
When you say you' ve added that, does that mean you shared that with everybody, Wiley? Is that what you Re- doing here? Or are you just saying you kind of have it yourself? Now, I am also noticing in the chat there' s a survey. And you guys know from time to time we' ll do a survey on a class. We want to get your feedback, what you' re liking, what you' d like to see. And so this is just for this class today. If you' ll click on that little link and fill that survey out, we' re going to get to that. And then we' re going to go ahead and add that to the chat. For me, as you head out the door, you finish our class today, we really appreciate it as coaches when you take the time to do that for us.
OK, I' ll also encourage you to use it as a way to communicate something to me. And so there' s a couple of two radio buttons. You just click, click, fill them in. There' s a couple of places you can answer questions. Or I also encourage you to use that if you want to communicate something to me. For example, I am struggling with this concept. Could we review that in a in a class? And then I' m going to go ahead and add that to the chat. And then I' m going to go ahead and add that to the chat. And then I' m going to go ahead and add that to the chat. And then I' m going to go ahead and add that to the chat.
Or it could be, you know, I don' t recall us talking about this. I am really interested in X, Y, Z. Tell me what X, Y, Z is. OK. And I will do my best to teach it in an upcoming class. In fact, we' ve done different classes based on kind of requests that some of you have had that really kind of fit in this arena of getting started with stock investing. All right. So appreciate you doing that. All right. Let' s see who feels a little bit more comfortable here. Rita can. Arthur can. AC100 can. Ranjit says, well, sort of. I' m wondering why the results from Schwab are different than thinkorswim. The reason the results are different is because I use different criteria. All right.
We used $10 on both of them. And we didn' You really have a good way to do trend necessarily. I didn' t incorporate trend into the Schwab one. OK. We based it only on earnings per share growth. I actually don' t have earnings per share growth in this one at all. Instead, I have return on equity, PE ratio. I told you I was going to change this volume to $250, and I didn' t. We' ll just keep it what came in at $500,000. OK. Knowing that, great, these are stocks that should have some good liquidity. OK. So criteria was not identical. All right. But now we have a watch list. Now, now that you build the watch list, you' ll come over here to your chart.
And you can start going down. If you Re newer to thinkorswim, one of the things you need to know is you might want to link the watch list that you' re looking at to the charts over here. Now, initially, in your thinkorswim, nothing is linked. OK. What does it look like? Well, it looks like a blank link. OK. If I select on here, it' s typically the default is kind of this non-colored link. It' s in the unlinked status. Now, you can choose any of these, OK? I just choose one red because it' s on top. And I just make sure I have the same combination on my watch list as I have on my chart. And then what can I do? I can just come down the watch list.
You know, you can see, hey, is it up for trending and so forth? I also have over here some columns. This column is a one- month percent change, kind of like what we were looking at, like 30 days. Basically, the last month. All right, performance-wise, how has the price changed on all of these? So there' s the one month, there' s the three month. Now, what I' m going to show you, it' s a little bit advanced. I know this is a getting started class where you' re just trying to get some of the basics down. But some of you might be going, well, Connie, I want those too. If those aren' t in my thinkorswim, I want it. So let' s just review how to get it.
And so what I' m going to do is I' m going to come down here to these scripts. And I' m going to copy out there for you. I' m going to copy out the one month calculation. And I' m going to hit control. Well, I' m going to do a copy paste for you, OK? And then I' m going to show you what you do with it. You don' t just click on it like a link that you might see for a website. That' s not the kind of link it is. But what I' m going to do is I' m going to grab this part of it, the digits after the front slash. And this little number three, there' s a space between it so that I know that that' s the end of the formula, OK?
So you can copy and paste. You can type it in. Once you get up here to go to setup, open shared item. And that' s where I paste in that link, OK? That' s what you could do. The whole link in there or just that part that I copied. Hit preview. And then give it a good name. OK, I would name it something like, which one did I choose? Three month return. I would choose something like three month percentage change or three month performance. Something of that nature, right? So you know exactly what it' s measuring. And then after you do that, I' m not going to bring it in again because I don' t want to clog up my accounts. But then once you bring it over, then you can come to your watch list.
You can click on this gear. The gear is kind of tiny. So let me put a box around it. OK. Click on that gear. And as you bring it up, then you can go customize. And then you could go find that column. You could go find my one month. You could go find your three month, right? And you can add those columns over here. All right. So based on that, then that gives us another way that we can judge these docs. We could come over here. We could sort it by three month performance if we wanted. We could sort it by one month performance, just like what we did. We could sort it by three month performance, just like what we did on Schwab.com.
Now, of our whole list here, the stocks that look like they' ve stuck with us all have positive values in that one month percent change. OK. Some of them aren' t as big as some of the ones on top. All right. Let me come over to the chat. I think we have a couple of questions. So Tina says, keep both. If you' ve already imported this. Tina, if you' ve done it from a past class, you don' t need to do it again. Right. You just have to remember what you called it when you said open shared item. OK. So the updated scan. Let me share that with you. OK. Anytime we share a scan, you need to know the results are going to change. They could change many times throughout the day.
And they' re not guaranteed for accuracy or timing. OK, but having said that, I will. Share this and we' re going to go. I don' t want to open shared item. I just want to share the scan query. So here' s the link for it. Or I' m going to hit scan. Here' s the link for that scan. I' m going to go ahead. I' m going to put it out in the chat for those of you that are here live. For those of you that are not here live, I' m going to put it in a text note here. So it' s big on your screen. Where did it go? OK. I' m going to go ahead and put it in a text note. One text note. All right.
There' s the formula. I am in my Schwab thinkorswim. Therefore, this formula is going to be nine characters and it starts with an exclamation point. Those of you that maybe haven' t transitioned yet, but you will. You' ll be able to use that on your thinkorswim Schwab version. OK. The other two links that I put out here. And I' ll put them out here real quickly in a text box as well. For those of you that are listening to this on the recording. Let me paste it in here so you can see that. Let me maybe activate it, scoot it over a little bit here. Those of you on the recording, pause or if you need to go back, you' re here live, you' re not quite catching it, pause.
And then you can see that. OK, I' ll just leave it there for the moment. So the top one is the revised scan that we just did. It all right, let me see what else is in the uh question oh so Chino was saying, you know, should I keep both of them? You certainly can, right, because the first one' s kind of our original that we use kind of as a basic; we go back to and then we modified this one specifically for utilities, knowing there' s some different things about utilities, okay, that usually they' Re not huge growth stocks which is why we only got back to when I ran it initially, okay. Now I have had some time to go through our watch list.
I always want to make sure we have an opportunity to do a paper trader too here so because I have that advantage of doing it we. re going to go take a look uh one of the stocks that came back is ticker symbol ay atlantic sustainable okay atlantic sustainable i have a six month oh i guess i have a nine month chart here and i was looking to see what you know was happening here recently right because you know the stocks down here oops stocks down here at about seventeen dollars has a double bottom if you know what double bottoms are which is reversal pattern looks like it ran right back up okay i wanted to know well is it you know is it near resistance is it near support and this area out here near 20 to remember support resistance or areas it' s not exactly the dollar value of 2206.
it would be like i would be drawing across 22 21 in that area right with a big sharpie marker that' s fat because that shows us that the area and what it looks like to me today is a breakout uh i' m going to zoom in now that we know kind of where this came from and you' ll notice if I put my mouse over here, how that was a support kind of in that same area, okay, uh, 20 what was it, 21 on high change now as we zoom in here, yeah, it looked like it was resistance here again yesterday it did have some extra volume. Looks like they announced their earnings in the morning so uh, it was the morning on Wednesday, they announced and it had bullish candle there the next day, extra volume moved in pushed it up to that area.
You may or may not have been convinced that it broke resistance maybe today it didn' t, it didn' t, it didn' t, it didn' t, it didn' t, it didn' t. It today gives you the conviction of what you' re looking for. We get some extra volume down here that that moving average down there that purple line is 30 periods so it' s showing us the average volume over the last 30 days, okay, when we Re seeing a breakout above resistance, we like to see it with extra volume. Now, this is just like, kind of like, a little bit of extra volume; it' s not huge. Average volume is 1. 9 million, it traded 2. 3 million today - okay, I take that back, I think I did that backwards!
Okay, I didn' t grab the right number. The average is 1. 9 and today it traded 2. 3 million shares, okay, so yeah, did have a little bit extra. We' re going to use this for our breakout entry example trade that we' re going to do today. All right, on a breakout, where should we put a stop loss? Well, typically, we' ll put a stop loss below something we think is support, and we will kind of say, ' Well, this was old resistance; it should act as new support.' But if it Some kind of tight and you don' t feel comfortable doing that, what some traders will do is they' ll say, ' Well, where was that kind of a recent bounce? This red line is the 30- period moving average.
Some people might not want to give it quite that amount of room because here' s a low, here' s the previous low, and none of them neither of them are very close to that line. So what we' re going to do we' re going to go off of the previous bounce here, okay? Where it came down looks like maybe it found some short-term support there, let' s call it 20-83. We' re going to go three percent below that to determine our stop loss now. Let me uh bring that back up now that you'. ve seen that all right, and so let' s come out here and we' re going to say, 2003, 0. 03 oh it should be 83, 83 times 0.
97 is the quickest way to get three percent below whatever the value is, multiply it by 0. 97 that says 20 and 20 cents now you might want to just look and see where that is and make sure you feel comfortable that if it really goes in that area from where it is that you' re like yeah I want to get out because if it did go down to this 21st century area it would be breaking down, it would be forming a lower low, uh, and so that' s why some people might say it So, not helping me out anymore this thing that looked like it was starting to uptrend is fizzling all right. So, that' s what we' re going to do.
We' re going to buy just 100 shares, which we can do and so I' m going to do just observing what the price is here. I think I' ll change it to what the last price was but we' re going to say ' buy' custom with a stop. So, we can put it in together put in that stop loss. We' re going to put in the price here of 22. 95 which was the last price. Sometimes after hours the prices kind of extend a little bit and this we' re going to put that as our $20. 20 I think that' s what that was going to be, it' ll if it gets to that point or lower, triggers the market order.
Market orders go get filled right away so we' Re not guaranteed a price there but the intent is we' re trying to get out if it goes lower than that all right we' ve got that set up I' m going to check and see what questions you have before I hit the submit button here make sure uh so uh Ambrose I' m going to come back and answer your question let' s go ahead submit this I' ll come back and show you the answer to your question repeat it so everybody knows I' m going to hit confirm and send it okay so you' re going to hit submit and then we' re going to go ahead and just make sure you didn' t do something wrong we' re just doing 100 quantity uh it.
So, easily easy for our our portfolio to handle 100 shares of that order. This red thing' s just reminding us, hey, your stop is based on a market order triggering. Just reminding us of that, that' s fine. We' re going to go ahead, we' re going to send it off, and then I' ll look for this to get filled on Monday. Now the question that came in here from Ambrose was: once you bring the order in, you' re going to have to go ahead and submit it script over once you do the open shared item. Do you have to do anything to put it in your columns? And the answer is yes. So, that' s where you come over here to the gear.
You can either do it on the watch list on the left side or up in Market Watch, but we' re not going in market watch today, we' re just going to do it easy in our watch list and then remember what you called it right, and so that you can go find it again. So mine is called one month percent change, okay, so I just go pick it, add item starting on here, so I really don' t need it again, so I' ll remove it. But that' s just how you add it over, then just say okay, and you' ve got your your columns ready to go there all right. Now, some of you,
I know, have subscribed to our Trader Talks channel, we always encourage you to do that because it kind of makes your life easier, okay, and if you subscribe to our Trader Talks channel, you' ll be able to see what Coming up which when I launched this was the previous Click Class, think scripts can do such a great job there more of an advanced class, intermediate to advanced, I' d say but then it allows you to find our content easily so for people in this class getting started, you' re trying to understand what Going on the markets and notice this says ' Start Here' and this is our getting started with stock classes, the most recent series I did um over the last few weeks is just lined out right here so Barbi I appreciate our teaching that um the last couple weeks she taught these topics number five about exits, number four about managing risk um birds are going to show up over here
well they were supposed to show up no they won' t show up over there uh I take that back we rearranged how this works in any case you can come out here get all these topics if this is you' re looking at this you' re like oh I missed that' then just click on it go back and listen to it. It makes your life easier to find our content, it helps us get positioned better in the algorithm that YouTube uses. All right, thank you Lee for posting that out there, I appreciate Lee helping me out with our topic here today, we were focusing on top-down analysis, I actually don' t think I told you that. What it' s called, but we' re starting at the top, utilities and filtering down.
We' re starting at the top of the market, filtering down the sectors and what industry groups are the better performing ones. We just kind of whittled that away to find what you needed. All right, you guys. Appreciate you being here. I' m going to encourage you to try to, if you can, several of you felt comfortable doing it, try to build your watch list using the two search tools that I taught you today. If you go back and do that, you should get pretty speedy at it. Okay. Feel very comfortable. So have a great weekend, everyone. We. ll see you Monday morning, right at the opening bell or out in our archives. We' ll see you then. Have a good weekend. Bye-bye.
