Transkrip lengkap untuk The Rate-Cut Divergence Nobody's Pricing In | Live Sector Scans with TrendSpider Sidekick

stocks hitting, I don't know, you can say, or find stocks um with a relative performance. 00:04:10.719 --> 00:04:12.319 Or find stocks that will make me a millionaire. 00:04:12.400 --> 00:04:12.800 Can we try that? 00:04:12.960 --> 00:04:14.319 Yeah, yeah, that's a good one too. 00:04:14.400 --> 00:04:15.439 That's a great one. 00:04:15.680 --> 00:04:16.959 Yeah, exactly. 00:04:17.120 --> 00:04:21.040 Uh, but you know, find stocks with a relative performance greater than 90. 00:04:21.120 --> 00:04:32.399 And instead of having to, you know, find out which stocks are outperforming uh, you know, 90% of the SP 500, you just literally type it into AI and it just outputs a list of stocks for you like that. 00:04:32.560 --> 00:04:35.439 So I mean, we've implemented across the platform. 00:04:35.600 --> 00:04:45.360 You can actually, you know, run scans using just prompts, it can set alerts for you, help automate your trading uh with strategy bots scanning the market and just research. 00:04:45.519 --> 00:04:53.040 I think you know, using Transpiders AI for research is one of the most awesome things um about the platform. 00:04:53.199 --> 00:04:56.160 So um have you used it at all, Michael? 00:04:56.399 --> 00:04:58.000 So I've used TransPider on and off. 00:04:58.079 --> 00:05:03.040 And I I I will tell you so as a I I have very few a few uh vendors I use, right? 00:05:03.120 --> 00:05:08.160 And yeah, and Transpider has always been one of the more uh powerful ones from a broad data perspective. 00:05:08.240 --> 00:05:13.680 But uh let's I want to kind of go back to this idea of yeah, you know, you have an investment thesis, you have an idea. 00:05:13.759 --> 00:05:16.000 How do you figure out how to implement on an idea? 00:05:16.079 --> 00:05:16.399 Right. 00:05:16.560 --> 00:05:18.720 So um I know you got a bunch of tools on that. 00:05:18.800 --> 00:05:20.639 Uh you got the AI implementation. 00:05:20.800 --> 00:05:25.040 Um talk me through, okay, what's the what's the process for let's say a retail investor? 00:05:25.120 --> 00:05:31.199 Okay, so they have access to transpiles, they they think that you know market's gonna shoot to the moon. 00:05:31.519 --> 00:05:32.000 All right. 00:05:32.240 --> 00:05:34.160 What do what do you what do you what do you do with that? 00:05:34.399 --> 00:05:37.199 Yeah, I mean, there's I mean, there's a lot of different ways to trade, you know. 00:05:37.279 --> 00:05:41.920 There's the long-term investor, there's you know, if you're a day trader, swing trader, whatever it is. 00:05:42.079 --> 00:05:49.759 Personally, you know, I kind of like I'm more of like a momentum trader, a trend follower, kind of like um, you know, I like to use stage analysis, all of that good stuff. 00:05:49.920 --> 00:05:55.120 Uh so for me, the first thing I do for one is I have this sector ETF list, right? 00:05:55.199 --> 00:05:58.480 I want to see where the money is kind of flowing to in the markets. 00:05:58.639 --> 00:06:04.079 Um, obviously, as we've probably seen, a lot of us have seen, depending on what you're holding your portfolio. 00:06:04.240 --> 00:06:06.560 Semiconductors have been taking a little bit of a hit lately. 00:06:06.639 --> 00:06:10.399 I mean, obviously they're still up quite a bit, um, but lately they've been down. 00:06:10.480 --> 00:06:13.680 Um, so that was the trend until maybe it still is. 00:06:13.759 --> 00:06:14.079 I don't know. 00:06:14.160 --> 00:06:18.560 It's it might be the end, it might not be, but it's showing signs of the trend breaking. 00:06:18.720 --> 00:06:20.240 And so, what's the first thing you do? 00:06:20.319 --> 00:06:26.480 The first thing I do personally is I open up something like our stock market map right here, and I input our sector ETF list. 00:06:26.560 --> 00:06:30.319 Let me close out sidekick so we can get this a little bit uh bigger here. 00:06:30.480 --> 00:06:34.319 Um, so what you can do, you open up the stock market map, you can add a map. 00:06:34.399 --> 00:06:36.079 Uh, I'm using a bubble chart. 00:06:36.240 --> 00:06:38.639 You can also do all this other stuff right here. 00:06:38.800 --> 00:06:40.800 Um, but let me maximize this. 00:06:40.959 --> 00:06:44.959 And so basically what you're seeing here is uh two bubble charts essentially. 00:06:45.120 --> 00:06:46.800 Let's focus on the left side. 00:06:47.040 --> 00:06:49.680 So the y-axis here, uh, it's pretty simple. 00:06:49.759 --> 00:06:52.639 It's just 30 days, calendar day change percent. 00:06:52.800 --> 00:06:56.639 So it's how much each sector is up over the last 30 days. 00:06:56.879 --> 00:07:01.199 And towards the bottom, you have the losers, and towards the top, you have the winners. 00:07:01.360 --> 00:07:05.680 And then on the left and right, the x-axis, you got the seven days change percent. 00:07:05.759 --> 00:07:12.800 So essentially everything to the top right um is going to be the leaders over the last seven and the last 30 days. 00:07:12.879 --> 00:07:15.600 Um, and anything to the bottom left is going to be the losers. 00:07:15.680 --> 00:07:18.000 And as you can see, I have bug. 00:07:18.399 --> 00:07:25.040 The bug ETF is the cybersecurity ETF, is currently leading uh everything over the last seven and thirty days. 00:07:25.120 --> 00:07:27.120 So that's automatically catching my eye. 00:07:27.199 --> 00:07:30.800 It makes it super easy to just visualize that um at a glance. 00:07:30.959 --> 00:07:35.360 And you also see software over the last you know seven days is kind of creeping up, IGV. 00:07:35.439 --> 00:07:39.920 And then of course SMH, which is semiconductors, is lagging a bit. 00:07:40.480 --> 00:07:41.839 So, what do you do with that? 00:07:42.079 --> 00:07:47.759 So, once you see, you know, first off, we can start with bug, maybe look at financials and healthcare has been an interesting one as well. 00:07:47.839 --> 00:07:49.439 So we'll keep those in mind. 00:07:49.600 --> 00:07:52.720 And what I like to do is just open

up, you know, our market scanner now. 00:07:52.879 --> 00:08:04.000 So I'm gonna go up right up over here and I'm just gonna type again, you know, find the same thing actually, find stocks with a uh relative performance greater than let's just do 80. 00:08:04.160 --> 00:08:08.720 Um, so we're gonna find out what essentially is going to be driving cybersecurity. 00:08:08.879 --> 00:08:14.720 And the awesome thing about Trans Fighter Scanner uh is all the universes that we have that you can scan through. 00:08:14.800 --> 00:08:29.360 You can scan through basically the entire market, you can scan through the Russell, the SP, and the sectors, uh, which is kind of unique because before this, you would have to like, you know, figure out which stocks are in which sector, but we can just search through the exact ETF we're looking at, which is bug. 00:08:29.600 --> 00:08:33.600 Um, so change it to that from where you're searching in, and then press scan. 00:08:33.840 --> 00:08:34.559 And here we go. 00:08:34.639 --> 00:08:38.559 We have the leaders of you know the cybersecurity race already for us right here. 00:08:38.720 --> 00:08:45.360 You got CrowdStrike, PanW, Palo Palo Alto Networks, Rubrik, you know, all these classic names, Okta. 00:08:46.000 --> 00:08:56.720 Um, and so from here, I clone this into a new watch list, and I can just name it whatever you want, like um, I don't know, cyber, cyber leaders. 00:08:56.799 --> 00:08:58.000 Let's just call that. 00:08:58.879 --> 00:09:05.200 And so once you have that, um, let's go ahead and open it up over here. 00:09:05.360 --> 00:09:11.360 And then now we know which you know stocks are kind of leading the sector, but now you have a list of stocks. 00:09:11.440 --> 00:09:15.440 You can go look at the charts, you can look at the fundamentals manually. 00:09:15.679 --> 00:09:19.519 But you know, at Transpider, of course, we have all this AI integration. 00:09:19.600 --> 00:09:25.519 So I'm just gonna grab this quick prompt that I had loaded up right now, um, right over here. 00:09:25.759 --> 00:09:29.120 And can we let's let's talk about the the prompting on on what you have to do. 00:09:29.279 --> 00:09:35.039 So again, I go back to prompting is only as good as uh the context behind it, right? 00:09:35.120 --> 00:09:37.759 So you know it's like I've seen this myself. 00:09:37.840 --> 00:09:49.200 It's like if I did this interesting, if I if I put a prompt and then I I make a prompt around the prompt, like enhancing it in in and uh make this prompt more effective on whatever AI model I'm using, right? 00:09:49.279 --> 00:09:51.200 Then I come up with like 20-page prompt, right? 00:09:51.279 --> 00:09:55.600 So when you talk about prompting through TrendSpire, how how detailed should it be? 00:10:29.980 --> 00:10:46.139 Yeah, like you said, you know, the more that's a very common thing that I've seen people do that I do a lot as well, is giving another AI, maybe another you can use sidekick to build your prompts for Sidekick as well, or you can use just like a free model as well, even if you wanted to. 00:10:46.300 --> 00:10:50.700 Um, but you know, I think the more detailed the better, but there's a limit to that. 00:10:50.779 --> 00:10:55.180 Like if you give it, you know, a million things, it's gonna maybe be all over the place. 00:10:55.259 --> 00:10:57.820 So I think there's a good middle ground in between. 00:10:57.980 --> 00:11:00.300 Um, and it's really just comes down to testing it. 00:11:00.379 --> 00:11:04.779 Like before I came on here, I of course tested these prompts and saw what it come out with. 00:11:04.940 --> 00:11:07.580 Um, but here, let me just show you, I guess, what I have. 00:11:07.659 --> 00:11:16.060 I said, and uh speaking of context as well, the the awesome thing about this is I just made this watch list with the platform using the market scanner, right? 00:11:16.220 --> 00:11:28.700 So the platform took a lot of the research out of the AI's control for us uh because the you know the better context you give it, the more um it's going to be able to focus less on certain things and more on other things. 00:11:28.860 --> 00:11:33.500 Um so you got to kind of know where um to use AI in a sense. 00:11:33.820 --> 00:11:39.740 So for me, I already found these stocks, you know, outperforming the market, leading cybersecurity right now. 00:11:39.899 --> 00:11:44.139 And then what I'm gonna have sidekick do, as I told it, okay, already use the scanner. 00:11:44.220 --> 00:11:46.300 These stocks are already, I already we already know they're leading. 00:11:46.379 --> 00:11:47.100 You'll have to figure out. 00:11:47.180 --> 00:11:51.820 Um you could ask, you know, find the leading cybersecurity stocks and they can do all that for you too. 00:11:51.899 --> 00:11:57.899 Uh, but I took that step out of it just to make the final output a little bit cleaner. 00:11:58.060 --> 00:12:01.180 And I literally told it, um, analyze all these stocks. 00:12:01.259 --> 00:12:04.139 Uh, let me just send it in right now because it'll take a second anyway. 00:12:04.300 --> 00:12:07.259 I said, just do deep research into my watch list, which I just made. 00:12:07.340 --> 00:12:09.420 It's gonna have me pick the watch list now. 00:12:09.580 --> 00:12:12.300 Um, so cyber leaders. 00:12:12.860 --> 00:12:14.620 I'll press proceed. 00:12:15.420 --> 00:12:21.019 And I said, for context, these guys already have you know relative performance over 80, so they're leading technically. 00:12:21.180 --> 00:12:36.060 But now I want you to go ahead and rank this list of stocks based on you know potential growth, strongest fundamentals, and to know any strong insider buying or 13F you know filings because it has access to all the SEC filings, 13Fs, all that great stuff. 00:12:36.220 --> 00:12:42.779 Um, and it's going to basically um, and now it's asking, it's like we have this thing called deep research insidekick. 00:12:42.940 --> 00:12:44.060 I'm gonna press

approve. 00:12:44.220 --> 00:12:53.259 Um, so instead of you know having it send one prompt in to analyze 11 stocks, it's actually going to uh send a single prompt in. 00:12:53.420 --> 00:12:55.980 It's actually making a prompt for us, like you said, to your point. 00:12:56.139 --> 00:12:59.740 It's gonna send in a prompt for each individual stock. 00:12:59.899 --> 00:13:03.899 Um, and then at the end, it's gonna compile them all into one output. 00:13:04.060 --> 00:13:08.060 And it should, you know, output a ranked list, like I said, with a score for each one. 00:13:08.139 --> 00:13:13.820 And I told it, act as an analyst, output a buy, hold, or sell rating for each and a price target. 00:13:14.060 --> 00:13:20.700 Um, so by the way, so when when this is running, is this like um, you know, obviously some platforms have um token limits, right? 00:13:20.940 --> 00:13:25.420 Um like if somebody were just prompting nonstop on trends, are they gonna have any kind of limitations? 00:13:25.740 --> 00:13:30.700 Yeah, so we do give so anybody on TrendSpider does get some free messages. 00:13:30.779 --> 00:13:34.620 You get 25 free messages, I believe, no matter what plan you're on. 00:13:34.860 --> 00:13:40.379 Um, and then we do sell extra usage uh depending on the plans that you pick. 00:13:40.539 --> 00:13:49.820 Um, so everybody gets 25 free messages, and then you can check our pricing page for a detailed list of you know how much more extra usage you can pick. 00:13:49.980 --> 00:13:58.860 Um, and we don't really uh interesting right now, we just added Opus, which I mean, if you didn't know, it's a more expensive model for anyone that doesn't know about the different models. 00:13:59.019 --> 00:14:07.580 I'm using Sonnet right now, but we don't really charge based on uh at least for now, maybe this will change, but we just implemented you know these frontier models. 00:14:07.659 --> 00:14:12.220 Uh we charge per message uh and not per like token usage for now. 00:14:12.379 --> 00:14:18.220 Um so you technically could use Opus for the same quote unquote price as Sonnet in our platform right now. 00:14:18.379 --> 00:14:23.259 So that's the way the Sonnet is simply it's interesting because I've been playing around with the different models on the adjunct side too. 00:14:23.340 --> 00:14:24.860 And it's uh you get different, somewhat different. 00:14:25.259 --> 00:14:26.700 Oh, I just again, folks, this is live. 00:14:26.779 --> 00:14:28.620 I see some people are saying I have a question. 00:14:28.860 --> 00:14:29.740 You have do you have a question? 00:14:29.899 --> 00:14:30.460 We can see it. 00:14:30.539 --> 00:14:35.580 And you know, uh whether it's on Trend Spider as a platform or uh other ways of implementing ideas. 00:14:35.659 --> 00:14:46.379 This is much more about uh how to use something practical like TrendSpider to execute on ideas and find ideas, um, which I think is important and something that I don't normally do uh on these types of podcasts. 00:14:46.539 --> 00:14:49.100 Okay, so so so you got this prompt, you got it built out. 00:14:49.180 --> 00:14:56.779 Um, I also find that um it's almost like you have to give people um an idea on what to prompt, right? 00:14:56.940 --> 00:15:01.340 So which I know it sounds odd, but like the reality is people don't know what they don't know, right? 00:15:01.500 --> 00:15:12.940 So sure uh is there is there I don't know, like a library or an education module or something from Trend Spider or guidance or help on the sports side that can help somebody figure out exactly what to ask? 00:15:13.259 --> 00:15:16.060 Um so we do have um a lot of built-in prompts. 00:15:16.220 --> 00:15:24.779 Once this thing it's about to stop, we do have once you open sidekick, we actually do have some built-in prompts uh that are default, which you can just literally go in and click. 00:15:24.860 --> 00:15:29.259 Um, some basic stuff, um, like um, you know, analyze because they can read your chart. 00:15:29.340 --> 00:15:36.460 You can just say, like, look at my current chart and plot the key levels, or you can say, give me the bowl and bear case of my current open symbol. 00:15:36.620 --> 00:15:38.940 Um, so we do have a blog. 00:15:39.019 --> 00:15:46.460 You can go to trendspider.com slash blog and all of our sidekick releases um that we've done, like the initial sidekick release. 00:15:46.539 --> 00:15:54.379 Uh we did a full release on like how to use how to scan with sidekick, all those have prompts in the blog post themselves that you can go ahead and try out. 00:15:54.539 --> 00:16:00.379 Um, and the thing about Trend Spider is um anybody can hit this contact contact us button. 00:16:00.460 --> 00:16:08.220 We have excellent customer support, probably the best in the industry compared to all of our competitors, because they're always there and willing to help you. 00:16:08.300 --> 00:16:25.820 And so if you ever, you know, like they're not gonna give you, they're not like financial advisors, of course, or anything, but you gotta have, you know, we're not gonna tell you like this is what you should be trading, but like if you have like an idea of like what you trade, how you trade, then yeah, they'll help you build prompts out to uh optimize your workflow with uh with Sidekick for sure. 00:16:25.980 --> 00:16:30.300 Um but you know, from dev, they have said it's really good. 00:16:30.460 --> 00:16:35.180 I mean, I've used it quite a bit, it's really good for doing stuff like analyzing earnings. 00:16:35.340 --> 00:16:41.980 It's really good um for doing bull and bear cases for stocks is that's more like you know, kind of less subjective. 00:16:42.220 --> 00:16:44.460 Like it gives you the bull case, it gives you the bear case. 00:16:44.620 --> 00:16:50.460 Um, it's also really good at uh finding key risks because it has the SEC filings built in. 00:16:50.539 --> 00:16:54.860 So if you want to see, uh we can even prompt this, like I can just prompt

something on the fly. 00:16:54.940 --> 00:16:57.659 Like, what is like the biggest risk of this stock? 00:16:57.820 --> 00:17:00.539 That's something that this is really good at as well. 00:17:01.420 --> 00:17:06.379 But as you can see, um, these are the cyber leaders, and this is how it ranked them. 00:17:06.539 --> 00:17:11.420 So I had to give it a score, have it give it a uh like basically acting as an analyst here. 00:17:11.659 --> 00:17:14.460 Let me uh go ahead and maximize this, or actually I'll leave it here. 00:17:14.619 --> 00:17:27.420 Uh so it ranked Fortinet at number one, and it said, you know, price target of 130, which is actually lower than it's and it said, but smart money is strong, uh, and it gives you, you know, um basically key differentiators. 00:17:27.500 --> 00:17:36.859 And of course, this is going to be LLMs are you know not a black box, but they're also you give this give one prompt one time, you give the next day, you're probably gonna get something a little bit different. 00:17:37.019 --> 00:17:39.259 That's just the nature of how LLMs work. 00:17:39.339 --> 00:17:46.059 Uh so you know, this is never this is always something to take with grains of salt, but it does do a lot of the research for you, like very well. 00:17:46.299 --> 00:17:55.740 And um, you know, before this, you you probably would have just you know spent hours um researching this stuff yourself, and it actually gives you, like I said, the key risks right here. 00:17:55.819 --> 00:18:02.140 So Fortinet, the the key risk, Taiwan supply chain concentration, 87% hardware manufactured there. 00:18:02.220 --> 00:18:11.019 It says, you know, 33 times PE, leave new rooms, no room for misses, JP Morgan, Wells Fargo, and HSBC all have given sell ratings. 00:18:11.099 --> 00:18:20.220 So it just finds stuff that you maybe wouldn't have found on your own based on, and this is not searching the internet, it's not pulling from random BS Reddit threads or articles. 00:18:20.380 --> 00:18:23.099 This is all data from you know the platform. 00:18:23.259 --> 00:18:27.740 This literally does not have access to the internet, which is a feature, not a bug. 00:18:27.900 --> 00:18:31.339 Um, because you know you never know it's gonna be out there on the internet. 00:18:31.660 --> 00:18:38.380 So okay, so so this is so let's let's again, since this is lead like live, uh let's do it, let's do an actual uh test, right? 00:18:38.860 --> 00:18:39.819 Let's do it off the cough, right? 00:18:39.900 --> 00:18:44.059 Okay, so somebody just posted uh Singapore is an underdog. 00:18:44.460 --> 00:18:44.700 Okay. 00:18:44.860 --> 00:18:46.059 All right, so let's let's play this. 00:18:46.140 --> 00:18:53.019 So somebody has a big picture thesis that Singapore, you know, is is uh where there might be some real investment opportunities. 00:18:53.099 --> 00:18:53.339 Okay. 00:18:53.980 --> 00:19:00.299 Help hel help me help us walk through how you would implement that as an idea to figure out what to invest in. 00:19:00.940 --> 00:19:02.299 Singapore is an underdog. 00:19:02.380 --> 00:19:08.059 So I will say for one, we our international data is a bit limited, but let's see what happens. 00:19:08.140 --> 00:19:15.980 Um so Singapore, I mean that is like uh or maybe like you know what what is it about Singapore that might uh benefit US stocks and what would those US stocks be. 00:19:16.059 --> 00:19:19.500 I mean, there's always like tangential you know, correlated options, right? 00:19:19.740 --> 00:19:21.339 Let's see, yes, off the cuff. 00:19:21.420 --> 00:19:36.140 I'm gonna say take a look at any news, because we have really good news related to Singapore um and how that news would affect uh the US stock market. 00:19:36.779 --> 00:19:41.099 Find any, you know, themes that could emerge. 00:19:41.500 --> 00:19:45.420 And um, you know, I'm I'm making this up literally on the cuff right now. 00:19:45.500 --> 00:19:45.900 Let's see. 00:19:46.380 --> 00:19:59.500 Any themes that can emerge um based on this news, and then I was just saying I'll put a list of stocks that could potentially benefit. 00:19:59.819 --> 00:20:15.259 I'm not even sure if he's saying, you know, Singapore, like Singapore stocks are are gonna pop off or whatever it is, but you potentially benefit uh from um the Singapore market um booming. 00:20:15.339 --> 00:20:16.380 I don't know, let's just say that. 00:20:16.460 --> 00:20:17.500 Let's see what happens. 00:20:17.740 --> 00:20:19.660 This is a bear view of real eye. 00:20:19.819 --> 00:20:22.220 Yeah, yeah, yeah, absolutely, absolutely. 00:20:22.299 --> 00:20:23.339 So let's see what happens. 00:20:23.420 --> 00:20:25.019 Uh again, international data. 00:20:25.099 --> 00:20:30.140 Uh we don't have we are mostly focused on the US data, but you know, it should be able to see some stuff. 00:20:30.380 --> 00:20:32.140 The R ETF is like a Singapore ETF, I'm sure. 00:20:32.220 --> 00:20:33.180 That's yeah, obvious, right? 00:20:33.259 --> 00:20:34.140 I mean, ADR ADRs. 00:20:34.220 --> 00:20:39.500 I mean, sure, I mean, assume because it's uh you probably have access to the ADR side on the data end of things. 00:20:39.740 --> 00:20:40.779 Yeah, yeah, yeah. 00:20:40.860 --> 00:20:41.259 We do. 00:20:41.339 --> 00:20:42.940 Um, we have you know the charts data. 00:20:43.099 --> 00:20:47.660 If we don't have the greatest fundamental data for all the ADRs, um, but let's see. 00:20:47.740 --> 00:20:49.339 Let's uh oh wow, that was quick. 00:20:49.500 --> 00:20:54.860 Um, let's see, let's see, it's C even even even he's surprised at Trent's back at Trent. 00:20:55.420 --> 00:20:56.059 Yeah. 00:20:56.539 --> 00:20:57.259 Let's see. 00:20:57.420 --> 00:21:00.460 Uh so Singapore is a global financial hub in gold clearing. 00:21:00.620 --> 00:21:07.180 JPM and DB are involved in Singapore launching a new gold clearing infrastructure per the June 15th report. 00:21:07.420 --> 00:21:08.620 Um, so that's interesting.

00:21:08.779 --> 00:21:11.660 So JPM, it's uh looking there. 00:21:11.900 --> 00:21:24.460 Autonomous vehicles, ride partnered with I'm sure the UIS E to pilot self-driving cars in Singapore, signaling, signaling the city state is aggressively testing the AV infrastructure. 00:21:24.539 --> 00:21:26.620 So that's one to, I guess, keep an eye on ride. 00:21:26.779 --> 00:21:28.059 I haven't heard that one in a while. 00:21:28.220 --> 00:21:28.940 R-I-D-E. 00:21:29.099 --> 00:21:30.460 Wow, okay, nice. 00:21:30.620 --> 00:21:35.579 Uh, here's one that was related to what we were just talking about: cybersecurity and healthcare IT. 00:21:35.900 --> 00:21:42.620 MNDR subsidiary is delivering managed cybersecurity services to healthcare providers in Singapore. 00:21:43.019 --> 00:21:44.940 Uh, a niche but growing space. 00:21:45.099 --> 00:21:53.420 Again, this is you know, it looks like a very interesting name here, but you know, if you're specifically focused on Singapore, uh, I guess you could tell like a that looks like a crypto coin. 00:21:53.500 --> 00:21:55.180 It looked like the Melania coin. 00:21:55.259 --> 00:21:55.660 I'm not gonna lie. 00:21:55.900 --> 00:21:56.539 No, seriously. 00:21:56.620 --> 00:21:58.779 Yeah, if you zoom out to the monthly, I don't know about that. 00:21:58.860 --> 00:21:59.259 I don't know. 00:21:59.660 --> 00:21:59.819 Yeah. 00:22:00.059 --> 00:22:05.180 But the point like you've got it, it's interesting though, because like I mean, it's a this is this is like a really interesting niche use case, right? 00:22:05.259 --> 00:22:08.220 It's like somebody has something very specific and it's actually coming back and it's showing charts. 00:22:08.539 --> 00:22:09.740 Yeah, no, absolutely. 00:22:09.900 --> 00:22:10.299 Absolutely. 00:22:10.380 --> 00:22:12.779 I think the the coolest one, let's just see what this is too. 00:22:12.940 --> 00:22:24.940 So golden commodities clearing, um, cloud and data sovereignty, cybersecurity, autonomous vehicles is a good call out, regulated crypto and digital assets, wealth management. 00:22:25.019 --> 00:22:30.779 So, yeah, I mean it it noted JPM and kind of like the uh the wealth hub there in uh in Asia. 00:22:30.940 --> 00:22:33.740 US banks was strong, Asia Devs benefit from that. 00:22:34.380 --> 00:22:36.700 So um it's a good call out, I guess. 00:22:36.860 --> 00:22:37.740 Good call out. 00:22:37.980 --> 00:22:44.620 And if you guys have any follow-up questions uh or any anything else you guys want us to test live, uh feel free to let me know. 00:22:44.700 --> 00:22:45.819 We can easily do that. 00:22:45.900 --> 00:22:47.579 I have no worries doing that at all. 00:22:47.819 --> 00:22:54.860 I I assume maybe I'm wrong, uh, but I assume there's a way to also have somebody upload their their holdings and do some analysis on an A on that. 00:22:55.019 --> 00:22:56.779 We should start with that because I think it's where it's be interesting. 00:22:56.860 --> 00:22:57.660 All right,

it's like yeah, all right. 00:22:57.740 --> 00:23:00.380 So yeah, it's a different uh set of eyes, so to speak. 00:23:00.779 --> 00:23:02.940 Let me uh yeah, so I actually have my purse. 00:23:03.019 --> 00:23:04.380 I have a couple Transfider accounts. 00:23:04.460 --> 00:23:05.579 This is the team account on my purse. 00:23:08.220 --> 00:23:09.180 Yeah, not a lot. 00:23:13.259 --> 00:23:15.019 Hopefully it doesn't, it doesn't expose me. 00:23:15.099 --> 00:23:15.740 No, I'm just kidding. 00:23:16.380 --> 00:23:17.099 Oh, you don't want to be like that. 00:23:17.180 --> 00:23:21.579 I don't know if you saw that that YouTube video of that guy who put uh his crypto keys on during a live stream. 00:23:21.740 --> 00:23:25.259 Uh and and and he like in a second, like somebody saw it and grabbed it. 00:23:25.339 --> 00:23:27.420 And it was like worth, I don't know, 10-20 million. 00:23:27.500 --> 00:23:29.019 And you saw his reaction afterwards. 00:23:29.099 --> 00:23:30.140 It's like, Jesus Christ. 00:23:30.220 --> 00:23:31.579 I mean, store available it is. 00:23:31.819 --> 00:23:33.740 Yeah, no, that would be absolutely brutal. 00:23:33.900 --> 00:23:35.500 So that's hoping that doesn't happen here. 00:23:35.579 --> 00:23:37.579 But uh, can you see my other screen? 00:23:37.660 --> 00:23:41.339 I just draw yeah, what would you like to yeah, yeah, yeah. 00:23:41.500 --> 00:23:41.980 Perfect. 00:23:42.140 --> 00:23:43.660 So this is my personal account. 00:23:43.819 --> 00:23:46.860 Uh there's some of my positions right there in one of my accounts. 00:23:47.019 --> 00:23:49.259 Um, but I'm gonna say, look at my current. 00:23:49.339 --> 00:23:56.620 So yeah, I have so uh signal stack is the way that we connect uh your portfolio holdings to Trend Spider. 00:23:56.779 --> 00:23:59.660 So you can actually, I don't even open my broker, I use Schwab. 00:23:59.900 --> 00:24:07.180 Um, I rarely open you know my thinkorswim anymore because um I can just simply use the trading panel here to buy and sell. 00:24:07.579 --> 00:24:10.460 And then um we can also do what I actually do personally do. 00:24:10.700 --> 00:24:13.019 You can see I have this alerts open over here. 00:24:13.180 --> 00:24:16.620 All these alerts are basically uh my trailing stop losses. 00:24:16.700 --> 00:24:22.059 So the way I trade personally is I just kind of you know buy into some stocks and I have a custom indicator. 00:24:22.140 --> 00:24:27.500 I just use an EMA to uh uh to alert me when this the stock is potentially breaking trend. 00:24:27.579 --> 00:24:36.059 Like for example, like I was in like AMAT uh up until last week and it broke under this 21-day EMA and this you know, my custom indicator is trail and stop. 00:24:36.299 --> 00:24:42.779 Um, and so here I had an alert uh on this uh 21 EMA or my 20% trail and stop. 00:24:42.860 --> 00:24:45.740 Uh all I did all you could do is right-click, create an alert. 00:24:45.819 --> 00:24:51.259 Uh if it breaks through or touches you

know that level, um, for one, it can send you a text. 00:24:51.339 --> 00:24:53.980 It does send me a text, scares the hell out of me every time. 00:24:54.220 --> 00:24:56.140 It does a little bit of beeping. 00:24:56.220 --> 00:25:00.380 And then I put in a note here for signal stack that basically just says close my position. 00:25:00.539 --> 00:25:01.980 Um, it's actual code. 00:25:02.220 --> 00:25:04.140 Doesn't it doesn't matter, it depends on your broker. 00:25:04.220 --> 00:25:10.220 So, but you basically just type sell your sell uh my position in this symbol is basically how it works. 00:25:10.460 --> 00:25:16.620 And uh once it hits that condition, which you can set it to be whatever, just draw a line on the chart and just set that. 00:25:16.700 --> 00:25:19.180 Um, it'll literally sell out of your broker for you. 00:25:19.339 --> 00:25:22.140 So it's actually to actually use autonomously trading in SS. 00:25:22.539 --> 00:25:23.579 Yeah, yeah, yeah. 00:25:23.660 --> 00:25:30.140 So it can literally trade in your broker for you based on alerts, or you can literally just you know buy and sell in here. 00:25:30.299 --> 00:25:34.220 Um so you know, these are my holdings and my trend falling portfolio for now. 00:25:34.299 --> 00:25:38.220 And I'm just gonna send in this prompt just saying so it has access to it. 00:25:38.380 --> 00:25:51.980 Um, look at my portfolio holdings, and based on the recent rate hike probabilities, I actually connected it to the uh the potential rate hikes this year that are likely uh that are likely to remain at the same level or get hiked this year. 00:25:52.140 --> 00:26:08.620 So do a deep dive into my holdings, suggest what positions are at risk from potential rate hikes, and suggest three stocks to remove that are at the most risk and three stocks to replace them with, um, and run a scan to find the best plays that could benefit from rate hikes. 00:26:08.940 --> 00:26:10.700 So it's actually running the scan for me. 00:26:10.860 --> 00:26:12.779 As you can see, it's basically an AI agent. 00:26:12.940 --> 00:26:16.140 It's prompted the uh the market scanner over there. 00:26:16.380 --> 00:26:18.620 Um, what it's prompting, let's see. 00:26:18.779 --> 00:26:20.940 It's doing a lot of fundamental stuff. 00:26:21.019 --> 00:26:30.620 So it had debt ratio less than 0.15, PE less than 20, free cash flow is positive, all this, you know, just financial stuff. 00:26:30.700 --> 00:26:32.620 Um, and it gives a little explanation. 00:26:32.700 --> 00:26:33.259 It's pretty cool. 00:26:33.420 --> 00:26:39.259 Financial sector, stocks, banks, insurers, uh brokers benefiting from net interest income expansion. 00:26:39.339 --> 00:26:40.539 It's just interesting. 00:26:40.700 --> 00:26:51.180 And so it's it's searched through the SP 500, ran a scan for me, and uh it's going to look at my portfolio, look at the scan results, and it's gonna tell me what to do essentially. 00:26:51.259 --> 00:27:00.620 Um, not what to do, but like, you know, it's gonna give me three stocks at risk of you know rate hikes, and it's gonna pick three stocks, I guess, from this scan. 00:27:00.700 --> 00:27:01.579 Uh that might be good. 00:27:01.660 --> 00:27:03.099 Let's see what it pulled up with. 00:27:03.180 --> 00:27:05.740 Um, this is all SP 500 stocks. 00:27:05.980 --> 00:27:07.420 See some interesting names in here. 00:27:07.660 --> 00:27:10.140 TER, which is interesting. 00:27:10.380 --> 00:27:12.380 ACN, anything regeneron. 00:27:12.620 --> 00:27:14.059 I know I was trading this one at one point. 00:27:14.140 --> 00:27:15.819 It's a healthcare name. 00:27:16.539 --> 00:27:19.420 Fix I was recently in until like today. 00:27:19.740 --> 00:27:20.860 Lululemon. 00:27:20.940 --> 00:27:22.140 So let's see what it says. 00:27:22.460 --> 00:27:25.740 Let me maximize this or yes, maximize this. 00:27:26.059 --> 00:27:32.059 So here is um my most at-risk stocks from my actual portfolio. 00:27:32.140 --> 00:27:33.660 And again, I didn't give it a watch list. 00:27:33.740 --> 00:27:35.420 I literally it just has access to my portfolio. 00:27:35.500 --> 00:27:37.740 I just said look at my portfolio, and that's it. 00:27:37.900 --> 00:27:49.259 Um, so LSCC, extreme risk, rubric, a XGN, Reddit, and LQDA um are the highest at-risk stocks here. 00:27:49.420 --> 00:28:01.660 And three stocks to replace them with HIG, let's see, Hartford Financial, it's an insurance company, earns more on its float and high-rate ENV, net interest income expands massively. 00:28:01.819 --> 00:28:04.220 PE ratio, I mean, everything in here should have a PE. 00:28:04.460 --> 00:28:07.339 I think it had the scan as less than 20, which is cool. 00:28:07.500 --> 00:28:11.099 Uh, so there's one, and then ACGL and BlackRock. 00:28:11.259 --> 00:28:17.660 Uh, BlackRock asset manager uh says AUM shifts to higher yielding fixed income products when rates rise. 00:28:17.740 --> 00:28:24.620 Uh, and I'm sure you can give some pretty good context here, more so than I can, uh, because I know you're more of the macro kind of rate expert. 00:28:24.700 --> 00:28:26.700 So, what do you think of what this is? 00:28:27.180 --> 00:28:38.460 I mean, I mean, that's that's like classic market into market uh macro to sector analysis right there at your fingertips, which I think is cool, especially for people that you know are newer um and maybe get intimidated by markets. 00:28:38.539 --> 00:28:40.299 It's like that's accurate. 00:28:40.380 --> 00:28:43.099 I I know that have having studied markets for for decades. 00:28:43.259 --> 00:28:43.500 Yeah. 00:28:43.660 --> 00:28:47.740 Um okay, so I think that that's an interesting uh feature for sure. 00:28:47.900 --> 00:28:53.420 Um I didn't realize that you're actually integrated directly with the brokers so that you can auto-trade from that standpoint. 00:28:53.500 --> 00:29:00.460 Um and I think it's also to your point, yeah, texting can be uh both disturbing but also useful, right?

00:29:00.539 --> 00:29:03.259 If it's like the markets are crashing, you don't want to get that kind of text. 00:29:03.339 --> 00:29:05.259 Um from Spider Bridge Rural. 00:29:05.500 --> 00:29:17.500 But but but but we but we should touch on that because I think um the idea that that maybe what you've built can help from a risk mitigation perspective because nobody cares about risk until it's too late, right? 00:29:17.660 --> 00:29:23.500 Um let's talk about how how some of these tools can maybe help protect gains. 00:29:23.980 --> 00:29:25.099 Yeah, no, absolutely. 00:29:25.180 --> 00:29:27.180 So for one, I mean this was an interesting example. 00:29:27.259 --> 00:29:30.140 Like if you give it some context, like rates are gonna rise. 00:29:30.299 --> 00:29:33.180 Um so based on this, tell me when I'm at risk, and it did that. 00:29:33.339 --> 00:29:34.539 And there's other ways to do it. 00:29:34.620 --> 00:29:37.180 Like I said, um, you can automate your exits. 00:29:37.339 --> 00:29:44.059 Um, I'm trying to think of, yeah, I mean, I think, I mean, the way I do it personally, um, is I automate my exits. 00:29:44.220 --> 00:29:48.140 So I mean, it completely depends how every person trades out there. 00:29:48.299 --> 00:29:53.900 Um, but for example, like I always like to pull up something like um, let me think. 00:29:54.299 --> 00:29:55.980 Um what was it? 00:29:56.140 --> 00:29:57.819 What's a good like dot-com stock? 00:29:57.980 --> 00:30:00.220 Was it Cisco that we can look at? 00:30:00.779 --> 00:30:01.339 Here you go. 00:30:01.420 --> 00:30:01.740 Perfect. 00:30:01.900 --> 00:30:02.620 Cisco. 00:30:02.860 --> 00:30:15.420 So from from a chart standpoint, you know, Cisco was one of the like, I guess you can compare, you know, the current AI boom or bubble, whatever you want to call it, to the dot-com boom as well. 00:30:15.579 --> 00:30:21.180 Um, you know, markets tend to repeat what happens in the past, and um Cisco is a perfect example. 00:30:21.339 --> 00:30:27.259 I mean, if you look at most AI stocks, like at Micron, Sandis, whatever it may be, most of them look like this. 00:30:27.420 --> 00:30:29.740 And this is basically how trend falling works. 00:30:29.900 --> 00:30:33.980 I mean, you ride the trend up, you hop in a trend that looks good, and this is the monthly chart. 00:30:34.140 --> 00:30:50.700 So as you can see, I have uh, you know, just the nine and 21 day EMAs or nine and 21 month EMAs on the monthly here, which is common, you know, when it's trading above a rising nine and 21 month or week or day um EMA, you know, the stock is an uptrend. 00:30:50.779 --> 00:30:55.819 If you go look at Micron Sandis, they all look like this um up until you know maybe like this point right now. 00:30:56.059 --> 00:30:59.180 So the question is like when do you get out at the end of the day? 00:30:59.339 --> 00:31:04.779 Uh as a trend follower, you basically want to ride the trend as long as you can until the trend breaks. 00:31:05.019 -->

00:31:08.700 And um the key thing is getting out when the trend breaks. 00:31:08.860 --> 00:31:17.339 And um uh a good way to do that is to literally just you know uh set a stop loss depending on where the trend breaks. 00:31:17.500 --> 00:31:19.339 So we have a couple different tools to do this. 00:31:19.500 --> 00:31:27.660 Uh, for those out there that use something like Weinstein stage analysis, which is a classic way, it uses the um the 30-week SMA. 00:31:27.819 --> 00:31:31.900 Let me see if I can close this cloud one out. 00:31:33.099 --> 00:31:36.539 Let me put on um on the monthly. 00:31:36.700 --> 00:31:39.180 Let me see if I can go back to the it's so far back by here. 00:31:39.259 --> 00:31:42.460 You can see it actually paints the candles based on which stage you're in. 00:31:42.539 --> 00:31:47.740 So this should be, let me just scroll back here a little bit, all the way back to what 2000. 00:31:47.900 --> 00:31:55.500 Um, so I mean, just a basic overview of stage analysis is you know, stage one is kind of like the the start of it. 00:31:55.579 --> 00:32:00.299 Uh, and stage two is like the uptrend where it starts trending above this 30-week SMA. 00:32:00.380 --> 00:32:03.339 Uh, and that's when the candles are painted green right here. 00:32:03.500 --> 00:32:11.420 And then so stage two is where you want to be in the trend, riding up, everything's great, you know, it's where the AI is right now, essentially, or maybe coming to an end to. 00:32:11.579 --> 00:32:19.259 And then stage three is when it starts to come back to that line and start consolidating, people start taking profits, it starts chopping around. 00:32:19.339 --> 00:32:32.700 And then once it breaks under that 30-week SMA and starts trading under a lower, you know, a down sloping EMA is when um, you know, stage four is happening, which is a stage four downtrend, which is essentially when you do not want to be in. 00:32:33.180 --> 00:32:45.339 And so uh if you wanted to kind of automate this, you could just you know simply set an alert on a line like the 30-week SMA, and um, it can alert you if it breaks through it or touches it. 00:32:45.500 --> 00:32:52.460 Um, and it can send you a text being like, yo, like Micron just broke through this this key trend filter. 00:32:52.620 --> 00:33:01.660 Um, so um you can either have it send a text to you or quite literally exit your position depending on how much you know kind of automation you want to have um in your platform. 00:33:01.740 --> 00:33:03.660 And you know, there's a million different ways to do this. 00:33:03.819 --> 00:33:10.059 You can use the Weinstein stage analysis indicator, you can use different momentum filters, you can use MACD crosses. 00:33:10.140 --> 00:33:15.019 I mean, we have all this stuff available, so it's it's really up to you know however people want to do it. 00:33:15.180 --> 00:33:20.220 Like we even have like um this one here, the Minervini Trend Template. 00:33:20.380 --> 00:33:23.180 Uh, if

I can go ahead and hide Weinstein now. 00:33:23.339 --> 00:33:31.180 Um, the Minervini trend template is kind of similar, you know, it looks for stocks trading of above a relative performance above 80. 00:33:31.259 --> 00:33:36.140 Um, SMAs trade, you know, SMA 50 over the SMA 150, prices above them. 00:33:36.220 --> 00:33:37.259 And it's kind of the same thing. 00:33:37.339 --> 00:33:43.579 At the end of the day, all these momentum, you know, EMAs, SMAs kind of are kind of line up. 00:33:43.819 --> 00:33:52.220 And so if you just pick one that you like, set an alert at it, um, and at least have it send you a text being like, yo, like this is happening right now. 00:33:52.299 --> 00:34:02.220 You should definitely know about this and consider getting out or reducing your size, taking some profit, whatever it may be, um, because you know the trend might be breaking. 00:34:02.860 --> 00:34:14.940 So I guess that's probably a great way, in my opinion, at least the way I trade um to use Transpider to go ahead and manage your risk. 00:34:15.179 --> 00:34:21.659 Um and and and talk talk me through sort of um look, I mean, let's face it, it's it's a crowded field, right? 00:34:21.739 --> 00:34:25.500 There's a lot of competitors in in the chart research space. 00:34:25.659 --> 00:34:25.819 Yeah. 00:34:25.980 --> 00:34:26.059 Yeah. 00:34:26.219 --> 00:34:30.139 What would you say sort of makes Transpider uh unique compared to other players? 00:34:30.539 --> 00:34:31.819 Definitely the AI. 00:34:31.980 --> 00:34:34.699 Um, I don't think anybody has anything nearly. 00:34:35.019 --> 00:34:40.940 I mean, other platforms have you know their AIs now, they have, you know, depending on what data it really just depends on the data. 00:34:41.099 --> 00:34:49.980 I think the combination of all the data that we have, uh, which we continue adding more data to, like um, this is actually a very new feature that we haven't fully released. 00:34:50.059 --> 00:34:51.099 It just got added. 00:34:51.179 --> 00:34:55.099 Um, but we're adding, we're continually adding new data and connecting it to our AIs. 00:34:55.260 --> 00:35:05.019 And so, for example, we have all this like deep um uh revenue data and just like fundamental data for specific companies that's unique to each company. 00:35:05.099 --> 00:35:10.860 So, for example, I open up Apple, you can see the iPhone revenue, you can see Mac revenue, iPad revenue, all this stuff. 00:35:11.019 --> 00:35:17.659 And now Sidekick can actually literally see all this even more detailed uh data that it didn't have before. 00:35:17.820 --> 00:35:28.460 And you mean you combine this with real-time options data, unusual options flow, um uh just regular fundamental data, the fact that it can read your chart, you give it all this context. 00:35:28.539 --> 00:35:34.539 I think that's in my opinion, probably the best advantage that Trend Spider has over all the competitors. 00:35:34.780 --> 00:35:40.539 Um you combine that also with our amazing customer support um is a good one too. 00:35:40.619 --> 00:35:44.219 But I'll just kind of show you too, under our what's happening now tab because we have a lot of. 00:35:44.300 --> 00:35:47.260 Oh, wait, but like is how much of the customer support is AI? 00:35:47.500 --> 00:35:48.139 Oh, none. 00:35:48.300 --> 00:35:48.539 None. 00:35:48.699 --> 00:35:48.940 Okay. 00:35:49.019 --> 00:35:51.179 Yeah, that's a that I'd argue that's a selling point. 00:35:51.659 --> 00:35:53.579 Yeah, none of our customer support is AI. 00:35:53.659 --> 00:36:01.099 These guys will literally hop on a uh on a call with any any customer gets at least one 15-minute call, depending on your plan. 00:36:01.260 --> 00:36:02.780 Um, with the real person, yeah. 00:36:02.860 --> 00:36:05.260 So the real person, they're not AI at all. 00:36:05.420 --> 00:36:07.659 We have a full customer support team. 00:36:07.820 --> 00:36:11.579 Um, and they will literally hop on a call with you to help you set up the platform. 00:36:11.820 --> 00:36:14.460 So that is definitely one of the top things. 00:36:14.539 --> 00:36:23.260 And we have an affiliate named Gary who loves to, you know, our top plan, you get 52 calls a year, which is literally like what, one a week. 00:36:23.420 --> 00:36:28.380 I mean, you can literally hop on a call with one of our guys one time a week if you pay for our top of the line plan. 00:36:28.699 --> 00:36:39.579 And um, you know, for the price, like just in that alone is kind of insane because I mean, again, these guys aren't financial advisors, not going to tell you like this how you should trade, but like, you know, they're all traders. 00:36:39.659 --> 00:36:43.500 They're all everyone on the Transpire team uh is traders. 00:36:43.579 --> 00:36:47.340 Like this platform is literally built by traders, for traders, investors, whatever. 00:36:47.500 --> 00:36:52.699 So I think that's honestly like the people here is is one of the best things about the platform. 00:36:52.940 --> 00:36:58.940 So and then yeah, I'll show you you know some of the data that we have here. 00:36:59.420 --> 00:37:02.539 Pelosi tracker RIP to that, I guess, here pretty soon. 00:37:02.619 --> 00:37:06.139 But you know, just all the earlier question about how do you how do I become a millionaire? 00:37:06.219 --> 00:37:10.380 That's I guess that's the yeah, we could ask sidekick that maybe we'll get a good response. 00:37:10.460 --> 00:37:12.699 I mean, honestly, Fracker to become a millionaire. 00:37:12.860 --> 00:37:15.980 Yeah, I mean, uh in the background, I'm just gonna put that in. 00:37:16.059 --> 00:37:26.300 So I'm gonna say, so I want to become, I was gonna say rich in the stock market based on all of your training data. 00:37:26.539 --> 00:37:30.699 What is the best strategy to implement? 00:37:31.019 --> 00:37:31.659 Do you think? 00:37:31.820 --> 00:37:33.019 I'm actually curious what it's gonna say. 00:37:33.179 --> 00:37:40.780 Do you think long-term

holding, swing trading, day trading, futures, options, ETC? 00:37:40.940 --> 00:37:45.659 What is the best method and why and how do I do it? 00:37:45.980 --> 00:37:47.420 Let's just see what that says. 00:37:47.579 --> 00:37:50.860 Let's minimize that while we take a look at some other stuff. 00:37:50.940 --> 00:37:58.380 You know, we got insider trading data, we got Congress trading data, um, 13F trades is probably one of the coolest ones. 00:37:58.699 --> 00:38:05.659 Recent earnings, we have, of course, all earnings data, CNBC recommendations, uh, just random filters, news featuring FDA. 00:38:05.740 --> 00:38:09.260 So if you're like a day like biotech day trader, that's cool. 00:38:09.420 --> 00:38:14.539 Um, analyst estimates, of course, CFO buying their own stock, CEO buying their own stock. 00:38:14.699 --> 00:38:16.780 I mean, really anything you can possibly ask for. 00:38:16.860 --> 00:38:18.619 We we honestly kind of have in here. 00:38:18.780 --> 00:38:22.380 Like, and again, we just are adding this right now. 00:38:22.460 --> 00:38:25.099 We continue to add more stuff, and you can actually make charts out of this. 00:38:25.179 --> 00:38:31.019 Like, like you can combine like uh Apple's iPhone, Mac, and iPad revenue here on a chart by quarter. 00:38:31.260 --> 00:38:32.699 Uh, super excited about this. 00:38:32.780 --> 00:38:39.579 We're actually working on, you know, putting a release together for this products revenue, and this is unique for every single different company. 00:38:39.659 --> 00:38:43.179 Like, I think like Goldman Sachs had some pretty cool ones too. 00:38:43.340 --> 00:38:48.940 Uh, if we go through here, you know, non-interest revenue, asset and wealth, management, non-interest revenue. 00:38:49.019 --> 00:38:53.420 You can compare all the stuff and give it to Sidekick to build charts for you. 00:38:53.500 --> 00:38:56.219 Sidekick can actually build charts for you too. 00:38:56.619 --> 00:39:01.659 And so um the fact that you know, uh like you could build this stuff on your own. 00:39:01.740 --> 00:39:03.740 Like, you know, you you talk about perplexity a lot. 00:39:03.900 --> 00:39:06.780 Like, if you have all the data sources, you pay for some data sources. 00:39:06.860 --> 00:39:08.860 I don't know if perplexity what they have. 00:39:08.940 --> 00:39:15.420 Like, um uh you could probably do it on your own, but the fact that you know it's built into the platform already. 00:39:15.579 --> 00:39:22.699 Um you know, we pay a solid chunk and change for all this data so that people don't have to, you know. 00:39:23.179 --> 00:39:27.340 Which which actually is so I'm glad you mentioned so uh this is my own naivety again. 00:39:27.420 --> 00:39:30.539 Um do you have an API for people to plug into? 00:39:31.340 --> 00:39:33.900 Um for to like pull our data from. 00:39:34.139 --> 00:39:39.019 Yeah, or like some somehow to use your their their AI models, right? 00:39:39.179 --> 00:39:40.860 Separate from somehow with Trend Spider. 00:39:41.019 --> 00:39:42.059 I again I'm just thinking along. 00:39:42.380 --> 00:39:45.579 Yeah, no, we don't really have like an MCP server, anything like that. 00:39:45.659 --> 00:40:01.500 But what you can do is you can pull in any AP, not any, but uh pretty much any API that's existing out there that maybe if we don't have data, for example, and there's this like data you want, you can bring in uh external APIs to Trend Spider, including your own. 00:40:01.659 --> 00:40:06.300 You can even pull in your own Google Sheets, anything like that on your own into the platform. 00:40:06.539 --> 00:40:13.659 But no, we don't um I don't at least to my knowledge, um, we don't allow people to use our data. 00:40:13.820 --> 00:40:14.059 Yeah. 00:40:14.219 --> 00:40:15.340 Yeah, yeah, I was just curious. 00:40:15.500 --> 00:40:17.500 Okay, and now you guys you guys do have a special. 00:40:17.579 --> 00:40:19.099 Uh we should touch on on. 00:40:19.500 --> 00:40:20.059 Yeah, definitely. 00:40:20.219 --> 00:40:20.539 Definitely. 00:40:20.619 --> 00:40:22.300 I can actually kind of show it real quick. 00:40:22.380 --> 00:40:26.539 Uh if you go to trendspider.com, um, Cole, if you're out there, you could probably drop a link. 00:40:26.699 --> 00:40:29.900 But uh, we have a July 4th sale that is running right now. 00:40:29.980 --> 00:40:31.340 It currently ends in 10 hours. 00:40:31.420 --> 00:40:33.500 Let me click see offer details right here. 00:40:33.579 --> 00:40:34.860 Uh, here's our pricing page. 00:40:34.940 --> 00:40:39.740 And again, the pricing, I mean,$56 a month if you pay annually. 00:40:39.900 --> 00:40:40.139 30. 00:40:40.539 --> 00:40:42.139 I mean, guys, like what are you paying? 00:40:42.219 --> 00:40:47.820 Like$100,$200 a month for most AI tools these days, at least ones that are like, you know, worth it. 00:40:47.980 --> 00:40:52.460 Um, and$56 for all the financial data combined with Claude. 00:40:52.619 --> 00:40:54.860 You can you have to you can actually use three different AI models. 00:40:54.940 --> 00:40:59.980 You can use GPT, Claude, uh, and what Gemini uh for this price. 00:41:00.139 --> 00:41:05.340 Again, every plan comes with 25 sidekick messages, which you can make work pretty well. 00:41:05.500 --> 00:41:11.099 Of course, um the only data other than that we charge for is options data and futures data. 00:41:11.260 --> 00:41:12.699 All stock data is included. 00:41:12.780 --> 00:41:16.139 You know, other competitors um don't have to mention them. 00:41:16.300 --> 00:41:18.139 They charge you extra for data. 00:41:18.219 --> 00:41:23.019 We don't do that other than for like data that kind of have to, like options and futures and stuff like that. 00:41:23.179 --> 00:41:24.460 So that's kind of included. 00:41:24.539 --> 00:41:25.900 Uh, two trainings a year. 00:41:25.980 --> 00:41:30.940 Again, hop on with a real customer support agent, not agent, a real person. 00:41:31.579 --> 00:41:34.219 Um, they can help

you set up the platform. 00:41:34.380 --> 00:41:39.260 Um, and you can really, you know, just go to the website and contact customer support anytime. 00:41:39.340 --> 00:41:51.820 Uh, they're pretty much available, I wouldn't say 24-7, but almost 24 hours a day, to be honest with you, um, to answer your questions, alerts, trading bots, um, charting, scanning, all that stuff. 00:41:52.059 --> 00:41:54.380 Pretty damn good price, honestly, if you ask me. 00:41:54.539 --> 00:41:57.260 Uh, you know, premiums, the most popular plants, 56. 00:41:57.340 --> 00:42:03.820 Of course, you can go up to enhanced uh and advanced, which you know gets up there to more of like the 75, 132. 00:42:04.219 --> 00:42:08.940 And again, this is normally uh$137 uh without a sale. 00:42:09.099 --> 00:42:13.500 So, you know, it's uh definitely worth checking out uh if you guys are interested. 00:42:13.820 --> 00:42:16.219 Uh it's one of the better deals that we've ran. 00:42:16.380 --> 00:42:19.659 Um, so definitely take advantage while it's there. 00:42:21.500 --> 00:42:31.740 Uh a very good conversation, uh, and one that I think is uh is good because again, it's like oftentimes I do these lead live conversations, they're macro big picture people are like, all right, how do I execute on that? 00:42:31.820 --> 00:42:31.980 Right. 00:42:32.059 --> 00:42:39.019 And here's here's an actual way of using you know, legit company with uh a lot of creative ways of finding investment ideas and opportunities. 00:42:39.099 --> 00:42:41.820 Uh any closing thoughts here, Mike, uh, for the audience? 00:42:42.139 --> 00:42:49.340 Um other than that, I guess I'll just start or I'll end with what the the message I sidekick earlier is how to become rich in the stock stock market. 00:42:49.579 --> 00:42:52.699 It says if you're starting out, yeah, starting out. 00:42:53.179 --> 00:42:56.059 This is it's the most important thing of the entire NASCAR. 00:42:56.300 --> 00:43:00.380 But it says start with long-term holds, honestly, kind of nice, you know, just long-term hold. 00:43:00.539 --> 00:43:06.059 Learn swing trading on the side, identify setups, you know, learn stage analysis, that stuff we were talking about earlier. 00:43:06.300 --> 00:43:08.300 Manage your risk with stop losses. 00:43:08.380 --> 00:43:12.059 Uh, do not touch options or future until you deeply understand them. 00:43:12.219 --> 00:43:18.780 Um, maybe more importantly, what you should not do, yellow zero DT options, average down on a losing position because they'll come back. 00:43:18.860 --> 00:43:21.099 It's kind of debatable if you're a long-term investor. 00:43:21.260 --> 00:43:23.900 Use leverage or trade based on vibes. 00:43:23.980 --> 00:43:26.300 Um, so I mean, yeah, that's kind of cool. 00:43:26.460 --> 00:43:30.860 Um, but otherwise, closing thoughts is you know, check out Trend Spider, I guess. 00:43:30.940 --> 00:43:34.699 Um, come check me out on live because I do these lives all the time too. 00:43:34.780 --> 00:43:38.699 If you guys want to learn more about the platform, uh follow TrendSpire on X on YouTube. 00:43:38.780 --> 00:43:44.059 You can see me live with a bunch of other people doing you know almost the same exact thing that we did today. 00:43:44.219 --> 00:43:47.659 Um, so you can check me out there if you guys want to learn more, have any more questions. 00:43:47.820 --> 00:44:00.539 So uh appreciate everybody that uh watched this uh live and uh hopefully uh you'll learn more and check out TrendSpire and you know a little bit of urgency given that 10 hour uh window for their uh they're uh running this guy here. 00:44:00.699 --> 00:44:02.380 Uh appreciate you, Mike, and thank you everybody for watching. 00:44:02.460 --> 00:44:04.539 I'll see you all in the next Lead Live Live episode. 00:44:04.619 --> 00:44:06.219 This one sponsored by Transmitter. 00:44:06.300 --> 00:44:06.860 Thanks, Mike. 00:44:07.019 --> 00:44:07.500 Thank you so much. 00:44:07.659 --> 00:44:07.900 See ya. 00:44:08.059 --> 00:44:09.420 All right, cheers, everybody.