درباره این اپیزود
Michael A. Gayed, CFA sits down with Michael Toney-Hoffman of TrendSpider to break down the rate-cut divergence between what the Fed is signaling, what the market is pricing, and what actually shows up in leading-sector scans right now.
Mike Toney-Hoffman drives the TrendSpider Sidekick portfolio agent live on screen — running natural-language prompts against real market data to identify sector leaders, rank technical setups, and pressure-test portfolio positioning against rate scenarios.
CHAPTERS
00:00 – Cold open + why this rate-cut divergence matters
02:30 – What the Fed's saying vs. what the curve is pricing
06:15 – Introducing TrendSpider's Sidekick portfolio agent
10:00 – Live Sidekick prompt #1: Cyber sector leaders scan
15:36 – Why Singapore looks like the underdog
20:00 – Live Sidekick prompt #2: Portfolio rate-hike scenario stress test
25:00 – Deep-research narrowing on the cyber names — CRWD, PANW, ATEN
30:00 – Rate-cut scenario across sectors + relative-strength ranks
36:00 – What Sidekick gets right that traditional scanners miss
40:00 – Where TrendSpider is headed next
43:00 – Wrap
Watch on YouTube: https://youtu.be/OqF2tZLV21g
DISCLOSURES
This is a sponsored conversation with TrendSpider. Michael A. Gayed, CFA and Lead-Lag Media LLC receive compensation from TrendSpider for this content. Nothing in this episode is investment advice or a recommendation to buy or sell any security. All views are those of the participants at the time of recording. Do your own due diligence before making any investment decision.
Sign up to The Lead-Lag Report on Substack and get 30% off the annual subscription today by visiting http://theleadlag.report/leadlaglive.
یادداشت ها را نشان دهید 🔗
رونوشت 🔗
00:00:02.000 --> 00:00:03.359
All right, folks.
00:00:04.000 --> 00:00:12.480
I am uh gonna make sure we're streaming live for another episode of Lead Lag Live on all the various platforms, X, LinkedIn, and YouTube.
00:00:13.039 --> 00:00:17.039
This is gonna be a different kind of conversation, much more on the practical side, talking about now.
00:00:17.199 --> 00:00:23.120
Usually when I do these lead lag live episodes, it's about macro markets, ideas, uh from a high-level perspective.
00:00:23.280 --> 00:00:28.160
We're gonna actually talk about how to figure out what um uh what to filter for.
00:00:28.239 --> 00:00:32.960
How do you actually identify uh certain ideas, certain trades uh using TrendSpire?
00:00:33.039 --> 00:00:35.280
And yes, folks, this conversation is sponsored by TrendSpider.
00:00:35.359 --> 00:00:39.280
If you're not familiar with TrendSpider, I encourage you to take a look at uh their software.
00:00:39.359 --> 00:00:42.560
Uh I've actually been a big fan of TrendSpider's founder, Mr.
00:00:42.640 --> 00:00:43.200
Dan Usman.
00:00:43.359 --> 00:00:45.119
I've had him on the show over a number of years.
00:00:45.280 --> 00:00:47.200
Uh they reached out because they're doing some promotions.
00:00:47.280 --> 00:00:55.600
We're gonna be talking about that, um, but especially talking about some of their uh AI capabilities, which uh, as many of you know, I'm I've gone very deep into the AI side.
00:00:55.679 --> 00:00:58.000
I am one of perplexity's biggest users.
00:00:58.079 --> 00:01:10.879
Actually, Mike and I were just talking uh off air about uh a lot of the narratives maybe being long and why it's important to have a trustworthy vendor like Trend Spider to actually help you uh with AI deliverables because it's not as easy as just to prompt folks.
00:01:10.959 --> 00:01:20.959
It's far more complicated, which is why uh I had a conversation with a client earlier and uh I said to him, going as deep as I have into AI has actually made me more skeptical of AI.
00:01:21.120 --> 00:01:21.760
Uh yeah.
00:01:22.400 --> 00:01:24.319
We took into that, so we'll definitely get into that.
00:01:24.400 --> 00:01:33.599
So with that said, my name is Michael Guy and I'm the publisher of the Lead Lag Report and the Free Markets Report, which I've now relaunched, as well as founder of Lead Lag Media and host of this podcast, uh Lead Lag Live.
00:01:33.680 --> 00:01:34.560
Joining me with me is Mr.
00:01:34.640 --> 00:01:36.560
Mike Tony Hoffman of TrendSpire.
00:01:36.719 --> 00:01:41.439
First time Mike and I are have chatted, we've gone back and forth, but I can tell we're already going to be uh kindred spirits with the conversation.
00:01:41.519 --> 00:01:44.079
So Mike, yeah, I saw you kind of you know saying agreeing with me.
00:01:44.159 --> 00:01:59.200
Let's before we get into trends capabilities, markets, ideas, um, let's riff a little bit on um on uh how you guys have used AI, what you've noted and noticed about AI, and uh why it's important to have a vendor like TrendSpider that that's it probably.
00:01:59.599 --> 00:02:00.079
Well, yeah.
00:02:00.239 --> 00:02:04.560
Well, for one, thank you so much for having me on the platform or on your podcast.
00:02:04.719 --> 00:02:05.840
Uh it's a pleasure to be here.
00:02:06.000 --> 00:02:10.159
You know, I followed oh, I don't know if you just disappeared, but um I'm I'm in the back.
00:02:10.479 --> 00:02:10.879
Okay, okay.
00:02:10.960 --> 00:02:11.759
I said making sure.
00:02:11.919 --> 00:02:14.639
But yeah, no, I've been I you know I've followed you for quite a while.
00:02:14.719 --> 00:02:16.240
But yeah, AI itself.
00:02:16.319 --> 00:02:28.159
I mean, I joined here at TrendSpider about a year and a half ago, and honestly, like the amount of AI implementation that we've done on this platform has honestly blown my mind from Sidekick AI.
00:02:28.240 --> 00:02:39.120
If you guys didn't know, Sidekick AI is our built-in uh AI chatbot, which you can use several models for, from CloudSonnet to Opus to Chat GBT and Gemini.
00:02:39.520 --> 00:02:47.520
And the coolest thing about um this is that for one, it has access to all of the data that we pay for already at TrendSpire.
00:02:47.680 --> 00:02:56.960
I mean, you can imagine, you know, we have a platform with probably some of the most you know premium data feeds you could possibly get from fundamentals, news, options flow.
00:02:57.039 --> 00:03:00.000
We have real-time options flow, of course, real-time market data.
00:03:00.159 --> 00:03:05.840
So, you know, um connecting all of that into an AI chatbot for one is just insane.
00:03:06.000 --> 00:03:20.400
It's gonna obviously um make your outputs way better as opposed to you just going to Claude and just be like, because you see all these people, you know, like trading with Claude these days, like Claude Portfolio, but um you never know, like the data to have access to is the most important thing by far.
00:03:20.560 --> 00:03:27.599
And since we have that data already, like it just made complete sense for us to plug it into um you know Claude essentially.
00:03:27.759 --> 00:03:29.759
So yeah, it's been really insane.
00:03:29.840 --> 00:03:38.960
Um, not only with sidekick, but with our market scanner and you know, ability to create um strategies like um automated trading bots and stuff like that.
00:03:39.120 --> 00:03:43.919
Because I'll just real quickly open up our market scanner tool right here as well.
00:03:44.159 --> 00:03:48.000
Um prior to this, yeah, you can see my screen now right there.
00:03:48.159 --> 00:03:53.919
Um prior to this, you'd have to kind of skip to this point, click editor, editor, um, add condition groups.
00:03:54.000 --> 00:03:58.879
You know, we have all this stuff, you know, uh fundamentals, relative performance, news, price, whatever.
00:03:59.039 --> 00:04:10.240
But nowadays, I mean you can just click this little AI button right here and you can type, you know, find 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.