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Join the Negotiator Insider and see how I use Samantha for investment analysis

Sami Miettinen Neuvottelija · 2026-05-24 · 11 min
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Tämä jakso on välähdys Neuvottelija Sisäpiiriin ja demo siitä, miten Sami käyttää Mac Minillä pyörivää OpenClaw-tekoälyagenttia Samanthaa sijoitusanalyysiin. Pääset mukaan Neuvottelija Sisäpiiriin ja samalla tuet Samia tilaamalla jäsenyyden tästä: 🔑https://www.youtube.com/channel/UCRI34L9OtDJuZpaWicbNXzg/join🔑 Sami kävi Tampereen sijoitusmessuilla Sijoituskerhon paneelissa. Paneelia, jossa oli myös Iida Hynnilä ja Timo Heikkilä moderoi Aleksi Kopponen. Julkisessa demossa Samantha ja muut AI-agentit pohtivat Samin Alphabet-sijoitusta Nebulan perustajan Ville Skogbergin kanssa. Agenttiparvi siirtyy sitten etsimään tekoälybuumista hyötyviä infrafirmoja ja päätyy arvosijoituskandidaattiin Nexansiin. Keskeinen oppi on second opinion -menetelmä: pelkkä yksittäinen prompti tai Excel-ajo ei riitä, vaan teesiä testataan usealla agentilla ja niiden omistajilla. Lopuksi tehdään oikea ostotoimeksianto, joka ei ole sijoitussuositus vaan esimerkki työtavasta.
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00:00
Sami Miettinen esittelee Neuvottelija-sisäpiirin
00:35
Neuvottelija Sisäpiirissä on yli 170 henkilöä, WhatsApp pääkanava
01:05
Vain oikeita ihmisiä, viestit katoavat
01:32
Samantha esittäytyy, OpenClaw ja Hermes
01:59
Samanthalta voi kysyä mitä vain Neuvottelija Sisäpiirissä
02:30
Tampereella Sijoitusmessuilla ja Tapparan mestaruuspelissä
02:55
Tampereen Sijoituskerhon tekoälypaneelissa
03:25
Alphabet-keskustelu Ville Skogbergin kanssa
03:48
Tekoälykupla ja infrasijoitusten etsiminen
04:10
Arvosijoitus vai kasvusijoitus
04:33
Tekoälypaneeli: Aleksi Kopponen, Iida Hynnilä, Sami Miettinen, Timo Heikkilä
05:04
Anthropic vs. Gemini ja OpenAI. Samin tekkistäkki
05:31
GPT-5.5 kustannustehokkaimpana juuri nyt
06:00
Excel-multipelianalyysi ankkuroi sijoituksen dataan
06:27
Alphabet-teesin perustelut ja infrarakenne
06:56
Listatut infrafirmat sähköstä siruihin
07:22
Suhteellisen arvonmäärityksen toteutus Claude in Excel-ajona
07:48
EV/EBITDA-matriisi, Nexans nousee esiin
08:11
Muiden bottien toinen mielipide
08:40
Donna-botti suosittaa Nexansia arvopelinä
09:03
Samanthan ehdotus ja value trap-riski
09:23
Nexansin tausta osana Nokia-historiaa
09:48
Ostotoimeksianto, 30 osaketta markkinoille. Tämä ei ole sijoitussuositus
10:13
Second opinion -menetelmä lyhyesti
10:47
Liity Neuvottelija Sisäpiiriin ja tilaa kanava
🌐 This transcript was automatically translated to English from the original.
Well, welcome to the Negotiator channel. Here is such a glimpse into the Negotiator inner circle. The negotiator inner circle is such an exclusive or exclusive Additional content and it has several levels. You can use it when you go to YouTube and subscribe to its insider content. There is typically an additional conversation of about 10 minutes with the guests, which you only see. And in addition to that, this is a useful feature that when you contact Me afterwards, for example on Whatsapp, LinkedIn will check that you are the right person, and then you can get into this Negotiator inner circle, which now has a block of 170 people and several of my guests. And then adults really discuss these issues there. I'm there as a moderator, there are only real people there. The messages disappear in seven days and nobody represents their organizations, unless they necessarily want to. And then there is an additional feature that cannot really be found elsewhere in Finland. So I'm a pretty good user of artificial intelligence, so I've been developing the artificial intelligence of the same name all year long. It is an artificial intelligence agent running on its own machine running on OpenAI. It has its own Hermes Research Agent, the Hermes Agent system. It has OpenA's best language model and for example this help model and then through this Hermes Agent. It has a very well developed memory, triple structured. And then you can ask what you want from there. And I think it answers very well. For example, about investing, politics, science in general, sweater economics, just about anything. And people have fun there and I try to train it as a real employee. I'm coming here now to demo. I was in Tampere for the second time in a week. The first time, of course, I went to see or watch when Tappara won another championship. I also bought such a cute gold pin for the inside of my jacket. But now I went again to the investment fair in Tampere. There was a full room in the Tampere house there with people who wanted to discuss investing and look at these Finnish listed companies. And I was there as an invited panelist on the investment club's panel on the use of artificial intelligence in investing. It is moderated by Aleksi Kopponen. Then Iida Hynnilä and Timo Heikkilä and I were also there. And now I'm showing the demo that I showed to the gym there. So here Samanta, my main agent, gets a challenge. First of all, I'll talk to Ville Skukberg, the founder of Nebulo, to see if we've both had the alphabet for years. And it has been a good investment. So, first, let's discuss the fact that there was a really good result, and whether this is a good investment. And then it was decided that it is not worth selling at this stage, especially since Antropiki and OpenAI cannot be owned through the stock exchange. But then let's start thinking that there are still a few bubble features in this artificial intelligence boom. The Yankees are injecting hundreds of billions of money into this artificial intelligence infrastructure. That which are the stocks that could benefit from it. And Samantha will then be discussed with the other bots of this AI working group. And possible industries. The task is that this investment could be more of a value investment rather than a face-tolerance. In other words, at a reasonable price, we will probably buy slightly worse growth. Let's go through the use of artificial intelligence in investing. And Sami Miettinen, Iida Hynnilla and Timo Heikkilä will be on stage. Welcome. Judging by the names, Aleksi Koppon was the one who finally came on stage first. But before long, Iida Hynn will be the first to speak on stage. Welcome. Then the established tapper man Sami Miettinen. And then investor Timo Heikkilä. Chemistry has also been reviewed here. That's probably roughly what they are. So they are very similar services to chat GPT. But is there much difference in these services from the point of view of an ordinary treader? Would you like Sami to comment on this? Yeah, I have them all because it's become such a game that Anthropic has been so popular and so good specifically in this office use because of its GoWork. That there have been an awful lot of users and they have started to solve this problem with capitalism. In other words, they have adopted the model of the removed queue, so that everyone can use this for a monthly fee almost unlimitedly. And went to such a monkey assessment. So you have to pay a lot of euros for that additional use, which might be tens or hundreds on top of the monthly fee. But this is it, then OpenAI and Gemini are a bit cheaper still, which maybe shows that they have not been so popular. But all of them are almost equally good at the moment. And I actually use OpenAI-GPT5 the most. It is the most cost effective. So there isn't a big difference between them, but I would say that Antropik is the one that gets you the farthest in office work. Because they have built a really good stack for how to analyze those Microsoft Office files, for example. Or Excels like that. My multiplayer analysis was this Cloud's Excel analysis. What else is there in investing, when many of us are such sentimental investors that we just think it sounded like a good company when it had a good business. Even this search for relative valuation coefficients anchors the investments to reality. That this is now nine times the EBITDA value of this. Yes, it's that kind of hard data, and Cloud is better at it than these others. Let's go and see how the pots performed on this. So here they consider this initial thesis that Alphabet is still a good investment. There are grounds for this, because there you can find such a processor, tpu, cloud, also this Google search and other services. And then a really decent infrastructure. There you can find the electrical and cooling equipment of the data centers, the electrical network, the data center operators. So you can find these pots. Then network and data communication infrastructure, chips and memory layers. And then we start to think about what we could find. And it starts with such real listed companies. And now let's take another artificial intelligence. This is now manual driving from the ground up. That is, I write these company names in that Clouden Excel. And then I ask you to do this Investority Bank book's relative multiple analysis of all these companies. Now it goes to collect this Cloud data. Market value, forecast, profitability, turnover, debt ratio. And then build this relative value matrix from all of these. That is, even if this debt-free total value in relation to the EBITDA EV-epida. And here we find this Nexans, it seems to be such a candidate for value by. That is, smaller than other values ​​of eight billion. And then, however, these multiples are like more moderate. And of course the growth is a bit worse. Well, then I'll throw in these other pots. Here are three of them. There are several here. I use Excel. And then these potties can read that Excel fluently. That's how I analyze what the same person did, or excuse me, that Excel. In the Cloud in Excel application. And then make recommendations based on that. And here, this Donna bot from Ville is of the opinion that this Nexans could be useful as a value investor. Then, however, I will give the last word to the same, that now take this Excel. I read those analyzes of other bots. And then give me the final investment proposal. And what could I present here at the investment fair in Tampere. And then it all starts from the same. And Nexans is also starting to encourage this. It is a good infrathesis and a cheap price. This could be a trap. So it may very well be that this AI frenzy won't see the situation. But there is also this kind of traditional cable business. Here's a bit of history. So this is the cable company that was left out of Nokia's Alkatee Luusent business formula. This is not an investment recommendation. I'm putting this on the market for a purchase order. I'll make this side a little smaller. That if it were a little cheaper and we'll see if it catches on. If it goes, it will really cost me 4900 euros for this investment. And it will go through. And this is not really the investment recommendation. But there are now 30 of these shares Nexanssi and a French company. Well, this is a presentation of how I and many of my friends in that inner circle make an analysis. And even if it was a share purchase, it's not enough that you just prompt it. It's not enough that you make this kind of Excel run about it. That's a second opinion. Or the third and fourth from other bots and their owners. Yes, it validates that thesis. So it doesn't guarantee anything. This can be a bad investment. And I promised that I will offer free tokens and bissets if this works. But otherwise, it's totally my fault if this doesn't fly. But this can be done within the negotiations. Then you recommend, try, join there. You will contact others. And then you seek access to this inner circle of negotiations. And then you can meet this samantha there. That is, my artificial intelligence employee. And then use his knowledge in your questions. Thanks and no pressure. If it's not my thing, I would appreciate it if you liked the channel and subscribed. I really enjoy going there to talk and show about artificial intelligence. And go to those. Tampere is always fun to visit. Not just that thing about the roof. But that investment fair in that Tampere building is a perfect example of an opportunity. Where I am very happy to be a speaker. Thank you.