Hello, hello, welcome back. Hello, we had a really wonderful moment back there when we were discussing about the ability of an athlete. I think it's a super important aspect, actually, consider when we look at an athlete's and create an athlete's, I'm a huge acomponent.
I studied Econ and I really enjoy those valuation models, financial models, and different methodologies that we can look at for us to look at different assets in terms of their types and in terms of business cycles. So I'm wondering
whether you have how you did NFT Valorations and for each human of teas what types of NFC Valorations do you do and how can we know more about it? Yeah so we do NFT evaluation of what you would call
or collectibles. Now what that really means is a collectible is a generative art and FD is like your 48-year club collection or your crypto function. That's a style of
NFTs lends itself to what we call "Jerner-Devart" or "collectables". And this sort of collectibles is nothing but like a Pokémon cards, you know. So they have this inbuilt rarity
into it like for instance if you look at a bunch of Pokemon cards right you have some of them being really rare like your Shah Azaz so your Shah Azaz are probably some of them are so unique and rare in terms of the trades that they have they could you know you could fetch you up to about 300
thousand if you're looking for if you're a collector but at the same time you can also get into the Pokemon cards at as little as 20 cents right so a squirtle is about I'm sorry I'm out of breath because I'm actually walking but a squirtle is about
20 cents. So you can see that there is a huge sort of band in terms of where and what you can get within these, within the Pokemon cards. And this is because, first of all, there is a community that wants to buy into these collections first and two,
the huge disparity in this pricing is more so because of the trades itself. So this is exactly what we do with these collections. We first try and analyze what is the strength of the community itself. So we do sentiment and
emotion analysis of the community on social media. So we do everything from analyzing conversations and then saying what's the positive sentiment, what is the negative sentiment and beyond that we also do emotion analysis to identify what are people feeling about the different
what you call it, the different communities basically. And beyond that, we actually do what you call your quantitative analysis, wherein we rank the collection based on traits. Like, for instance, in a collection of
say 10,000 crypto pung, we identify which is the rarest within the collection and give it a ranking of 1. Then we identify all the way from rank 1 to all the way to rank 100. And invariably if you go and look at the prices, there will be about
right in terms of the ranking will easily add up to the actual price on OpenSea. So if you look at the rarest, see ranked 4 on our company, we have ranked it. The boat is ranked 4. Somebody is actually making an offer
of almost 690 ita and the person not selling it and the last time that person actually bought it was for about 0.05 e to something like that. So this is it. It is quite a powerful tool if you want to find out valuable collection, valuable NFTs within the collection.
That is super cool and definitely really amused. We're really excited about this moving project you're building. We think our keys are super cool and it has great moments and potential. Yeah, thank you so much for
time doing this face with us today. The HQ is the one soft shop to help people find and buy some food and go some amazing douse as well. And we're looking forward to partnering and working more closely with