 Open Digital Asset News to get top stories in crypto, current digital assets, and bring them down to bite-sized pieces. Today, we've got an answer to one of the biggest questions I always get, and this is from Celsius, big news where they're going to support the spark airdrop for all of the XRP holders also. Bitcoin is due for its second highest quarter close of all time, and this is fantastic news and there's been a lot of bad news out there. And finishing up, we're going to go over a cue of the day, which the question is, what does it really mean when we say DYOR or do your own research? And I've got Ian Bellina of the ICO Crazy Day fame to come in and talk about how his old techniques that he used for research pay off even in today's environment. And we dig deep, we talk about AI, and I had to bring up the shill question. So we're getting all that, but first let's take a look at what's going on in the market. So today is September 30th, about 2 p.m. Texas time, and what do we have going on the markets? Bitcoin, 0.3% down around 10.7. I was kind of going to be able to break over 11, but I see big things coming up and it hasn't really dropped too much. It's just kind of teetering on that little level, coiling up. I think over the next week to two, we're going to see definitely blast over 11, but hey, who knows, Ethereum still has not dropped down below 350, however, it still hasn't hit 400, which I wanted to. But hey, here we are. Heather's tether around 15 billion market cap XRP market cap at 10 billion, sitting around 23 cents. Watch out. I remember when XRP and tether were really jockeying back and forth and it was pretty close. Now it's not even close. It's a five billion dollar gap. And I don't really ever see it dropping down at all. Also, we've got Binance coin a big time, 1.8% or 21% for the week. And Binance has a little bit of a resurgence thanks to all the DeFi talk. Bitcoin cash down 0.4%. But still that's six pie. I like that. Polkadot still above $4, but down 1.3 for the day, but 5.3 up for the week and Chainlink. Oof, what a little bit of a tumble that one took. Just was the darling not too long ago hitting around $17, $18. Now we're below 10, not a good day for Chainlink holders like myself. Bitcoin SV still in the top 10. What are you going to do? Cardano almost at 10 cents, but up 0.3. But up, you know, 22% for the week, so we'll take that. And then that's the big stuff. Monero up 6.6, Cosmos 3.7. Nothing really too fantastic that really jumps out. 6.8% for Makers. That's not too bad. 12% for the Celsius network and finally breaks above that dollar mark. Maybe it's because what's going on. Let's just get into it. This is big news. This is a question I get all the time. There is the Spark AirDrop, which is going to bring the functionality of smart contracts to XRP. And the question I always get is, Rob, where is it going to happen? Well, it's going to happen on certain exchanges like, oh, excuse me. Here's seven exchanges that actually support it. And we've got Altcoin trainer, AnchorUSD, BitTrue, not BitPay. CoinSpotling, that's an Australian exchange. Cred, Gatehub and Uphold. And now to add to that list is going to be Celsius. So here's Alex Machinsky and tell you what's going on. Partner with Spark, we also tweeted about it on our Twitter account that we worked out a deal to make sure that everyone who has XRP on Celsius is going to get Spark AirDrop effectively into their Celsius account. So you don't have to do anything. You just need to have all of your XRP with Celsius and you'll get the rewards. Plus, you're going to get Spark when they actually go live, which is planning for December or whatever it actually happens. But the good news is that Celsius is doing all the hard work for you. You don't have to do anything. And I know other many other providers are not offering Spark at all. Two things. First of all, Alex loves to say these things like, hey, they're not they're not doing this for you, but we are. Hey, don't worry about them. Look, we're doing I I got to tell you, this guy is the greatest marketer of all time. And also check out that sweet shirt. Banks are not your friends. Pretty nice. I got to get one of those. So that's that's the first thing. The second thing is this is huge news. I mean, people have been asking me all the time about the XRP because they don't want to go through the whole process. I actually did a video about it and I explained how it's all supposed to be done. You have to do a couple of things, not too tough. But I mean, there's nothing easier than just have an XRP on Celsius and just, you know, getting this airdrop. I mean, how simple is that? Love it. I mean, if you don't know, I'm a huge believer in Celsius. I like Alex Machinsky. I like what he's doing over there. Very transparent. He's actually been on the show once. Hope to get him back. And I like exactly what they're doing over there. And they're actually my, as I call them now, my one, two, three punch. And we've I've got Kraken, Celsius and Voyager. I like Celsius because I keep, I actually keep, now I keep 30% of my entire portfolio on Celsius. And the reason is, is because the rates, it's just just to have your your cryptocurrency sitting there, you'll have, you know, a pretty good interest rate, depending on what you actually have. And I have actually a huge chunk of my XRP tokens. And now I get to say, hey, XRP is doing something for me. So not too bad. So I like that. That's why I agree with Celsius and I got a big chunk of my portfolio over there. Voyager, like that's where I like to buy things. There is a problem though with Voyager, only half of the assets you can take off. I'm really not too happy about that. So just be aware. And then Kraken is my third one and I cannot wait till they open up that bank with their banking license because I will be using them exclusively for all my businesses and I cannot wait. So this, if you don't know, this is the exchange of wallet fees. It's a Google spreadsheet and there's gonna be a link in the description of everyone in my videos looks just like this. And it pretty much goes over what I recommend and don't recommend, what I use and do not use and why I don't use them and things that I don't really like, like eToro. I just don't like it. And I've added one on there, Swift. SwiftX is an Australian only exchange. Obviously I can't use it, but I mean, there's one good thing about this one and that is the customer service is outstanding. That should be the actual gold standard. I wish if Coinbase could do what SwiftX is doing over there, you got a winner. But on the top of every one of these different little categories, I've got an affiliate link. You don't have to use the affiliate. You can go write to SwiftX or write to Celsius or write to Kraken and sign up. But I use my affiliate links to get between 10 and 25 bucks. So just be aware. You can do whatever you want to do. Anyhow, that's it. Let's move on. Next up, I got this from SKU and this is from my Twitter account. I thought it was pretty interesting because it was, it shows you, let me just blow this up. This is the second highest close of all time per quarter for Bitcoin. So you can see this is going back to 2014, right? Of course, you know, when it goes back further, it's pretty fun. This is the last I came. And so the best quarter closing of all time was of course, 2017 and Q4. That was a marvelous run. And then it just edged out Q2 in 2019. And if we hold the price, which I think it will after tomorrow, we will close out Q3 at a 10,690 somewhere around there. So congratulations. I know we talk about the crypto space and we see a lot of different fluctuations, but we have to remember, look at where we were before. The market cap was well under a hundred billion. Now here we are going around 350. Things are looking up and I can only see great things coming up in the next year. Just got to hang on and I see the light at the end of the tunnel, but just got to have a little bit of ice in your veins. All right, so that's it for today. I had to actually condense everything because I did a really deep dive with Ian, Ian Bolina. And he pretty much just lays it out how he used these research techniques and he turned 20,000 into $5 million. Now, there's a couple of things that I will say is that we went over the old style technique and there's a new style, which is one of his actual websites that he does. And you can do it either way. I'm gonna stick with the old way and it works out well for me. And we actually got into the shill question because I had to ask the question. So let's jump in. Everybody, welcome back to the office and the queue of the day. And this one was a pretty good one. And it's one of those things that I don't really think about too much because I just kind of throw that this term out there which is do your own research, do your own research. And the question actually is from Ian. And Ian says, Hey, Rob, I keep asking this question to multiple other YouTubers, but no answer yet. But everyone always says, D-Y-O-R, do your own research. But what does that entail besides these videos from different influencers? Is there any specific route you could suggest to research potential tokens? So that's that, that is the first part. And it was a pretty great question because it really makes you delve into the really nitty gritty of it. And so before I could actually get a chance to answer it, person answer that says, it means what does the project do? Who does it? Is it useful? Does the team have a good track record? Are there any enough users, partnerships? Does it have a futures or something out there? And they go on and on and on. Which was a fantastic answer. And then Ian comes back and says, that's great. What the heck is that? I don't know where to find this information. I don't know where it all is. I don't have time to do this thing. So I was like, this is a pretty great question. So what I did was I reached out to history because when I got in 2017, there was a guy, a gentleman, and they have Ian Bolina and he had a pretty great spreadsheet and he pretty much laid it all out and he had the ICOs and it was a super exciting time. Now, the thing with that is that Ian did a lot of research and it was good stuff. It was just moving into it, not all of Ian's predictions panned out because who the heck is perfect? So what I did was I reached out to Ian and he said, he came on, he's here right now. Welcome Ian. And he's gonna show us. Glad to be here. Thank you Ian. He's gonna show us the methods that he used all the way back then to find out all this information that the component is actually asking. You're gonna show us an old way and you're gonna show us a new way. So, and then we're gonna give him some other things and talk about it. So Ian, thanks for coming on. So how did you find all this information? How can, how can Ian answer Ian's question? Yeah, I mean, so the market has changed getting lots of data in the computer space is very tough, especially with new projects launching very quickly. And here are token metrics. We bought a platform that is data driven. We go out there and we basically bring both quantitative data points from platforms like CoinMakerCap and others. So investors can go through and analyze and have all the data in one place. Then we also have our team of humans from Goldman Sachs and my background at IBM Watson going through and building methods for evaluating cryptocurrencies from both fundamental analysis perspective. So questions, as you mentioned, do they have customers, the team, the background, the marketing reputation, and then also doing deep code reviews and going through the code and trying to find out is this actually a good project from a purely developer perspective plus also having TA. Cause TA and crypto matters a lot from a technical analysis perspective. So we bring all this together into one platform that makes it very easy for anybody without even having to be a beginner to quickly understand and do their own research very quickly in a self-serve manner. Okay, so Ian, so first of all, let's break it down. So you've got a platform now called Token Metrics, right? That's a paid service. So there's some people who are like, I'm not paying. I got telling you time, they want to find it. Can you lay it out in a simple way of how to find this information that you used to do back in 2017 to find out like the basics? Like where would they go? How would they find this stuff? So break that down first. Yeah, so if you want to do your own research for free it's definitely available. The first place I would begin is a company website. Go to the website, find the white paper, go to the white paper, read the abstract and that typically gives you a nice summary on what the project is. Then go through just scan the white paper and just kind of see, okay, does this look like something put together in a week or something somebody actually spent time going through in a very thorough manner fleshing out their idea. And then typically I do like to read most of the white paper. If it's something that's very, very technical then maybe I'll just skim to the parts that matter the most. So such as the use case, if they're talking about technology and code I'll probably just read that to our development team but anybody can go through and skim or just read a white paper to make sure they understand what the idea is about. Then I'll go through and look at the background of the team. Now in the crypto space sometimes they won't put that on the website. So what I do is I go on LinkedIn put in the company name I go through and look at the management team. So the CEO, anybody in the C-Street role the developers and I look for good social signals of people who've had past success. So whether somebody has worked at a well-known company so if somebody was a developer at Amazon or Google or Facebook for five years that's a good social signal that okay this person is pretty competent but if somebody has worked with a top 25 blockchain project so if somebody was a Bitcoin Core developer or if a person worked for three or four, two years that's a good sign. And then I would say in the last few years other good signals have been do they have good backing? Do they have well-known crypto funds backing them such as Amazon Horwitz, Coinbase Ventures, big funds like Novogratz, big funds with lots of money at risk to lose and with very large reputations to lose. So because they have teams that go through and do very thorough in-depth do diligence so that that in a way is a proxy for a retail investor or trader to do their own research as well. And then also going through their GitHub, right? I like to look at projects that have open source code. If a project is promising the moon but they have code that's not open source that's a warning sign. So if a project is promising the moon and they haven't launched anything at all and if you go to the GitHub it's just a smart contract and that's it and that's a big warning sign. So for example, a week back I was looking at a project that lots of people were very bullish on. I went to look at the website, the entire team were just marketers. People from a full marketing world, digital marketing world no technology people. I said, okay, this to me looks like a pump and dump because I don't see any technical acumen here. So how is this project going to survive two years down the road? Right, if there's no CTO, a technical person anybody's been involved in blockchain but marketers or marketers can drive it, sales can drive it, but for the longevity it will fail. So that was a good, okay, so I get you. I can see where you're going with that one. Right, and then the community, products with large communities, that matters a lot. But one metric I think is not looked at a lot especially for products already trading on exchanges is what I call the liquidity ratio or turnover ratio. So if you take the daily trading volume and you divide by the market cap, that will tell you how likely a project is. So for example, if a project has a daily trading volume of 10 million and a market cap of 5 million, right? That means the average person holding that coin is trading at price. Meaning that lots of speculators are in that coin. People who want hotlers. So a good ratio I like to have is between 10% to 50% because that tells you what is liquid. So I personally don't like to invest into any project with a ratio lower than 10% because that tells you that token is not liquid. So for example, if it has a trading volume of 1 million and a market cap of 20 million, it's a very illiquid coin. So the goal is to find products with good liquidity because in crypto, the world can be pulled underneath you very fast, right? We've had projects, especially doing Black Thursday in March, products crash 30%, 40%. And if you're in a project that's very illiquid, that basically becomes zero, right? This also comes from my own personal experience investing in private cells of products that have no liquidity. Liquidity can drive very, very fast. So all those are different factors I look at from a technical and also perspective. That's all just really automated TA from a code perspective. I'm just gonna get help. If you go to GitHub, anybody can view how many people follow a project on GitHub, right? So you have a number of stars, a number of forks. So this can show actual engagement from developers. Now it is possible to possibly gain those metrics but the most part it adds more confidence if you can kind of go through and see how often, for example, there's a code updated. If a project hasn't been updated in one year, it's probably not a good project, right? For example, Litecoin. Litecoin is a pretty popular project but there isn't too much development activity on their GitHub. And it basically seems like one guy just posting code. Over and over. So we wanted to see, yeah. So you want to see teams that are actively updating the project on GitHub and to see lots of community involvement. That's also a good sign. Okay, so let me try to summarize. There was a lot of information, thank you. So we look at the, first we go to the website. We look at the white paper. We go over it, see what does it do? Does it have a functionality? And maybe it doesn't have competition. And then we take a look at the team which may be on the website or not. If it's not, we go to LinkedIn. We go to LinkedIn and we take a look at it. If it's a bunch of marketers, we know it's bad. If it's a bunch of people, well, CTOs, technical people and marketers and accountants and everything else, we know it's probably a good type of thing. We go to GitHub. We make sure there's actually an activity level and there's actually a good following. And then lastly, you talked about the liquidity versus the market cap, right? So if it has a large market cap and we get on again, large market cap but there is a lot of washing around. So with the liquidity ratio, we look at the daily trading volume. Yeah. By the market cap. Because if a project has more, if the average person is trading it twice a day, it's just treated in there. And once the trade is over, they exit and people are not holding bags, right? So you want to find projects with very good projects that are liquid but have lots of hardware involved. Gotcha. Okay, so that makes a lot of sense. And that kind of breaks it down and answers the other Ian's question. Do your own research. So it's a lot of stuff, but it can be done, right? You did it all the time in 2017 when the ICOs were there. Okay. Before we start to talk about token metrics, let me, I'm gonna just lay it out there because I know there's gonna be a lot of comments. Ian's a shill. Why'd you have a shill on? He does nothing but shill. So talk to us about what happened in 2017 moving forward and maybe there's some of the things that you learned because let's be honest. We're not the same people we are two, three years ago. So take it away. Let's hear. So my perspective on that is I built up a large following for being fully transparent, right? I had a spreadsheet that was open source. Anybody could go there and see my trades, my investments, my methods, as to why I was investing in projects, right? So in 2017, I became the poster child for ICOs and the ICO bubble popped. Being the poster child kind of came with those, I would say, downside effects of me also kind of having my image kind of tarnished, right? And yes, there were projects that I invested in and that would end up being great projects ended up being scams, right? So that part I definitely do accept. But one thing I've learned as an investor is to just learn from your mistakes and I've learned that the biggest mistakes have actually had the most growth, right? So token metrics came from my biggest mistakes because we had the system, the spreadsheet and we thought we had all the data. But one thing I've learned is it's basically a cat that I'm asking. The market is always adapting, it's always changing. There's some people out there who have bad intentions, who try to gain investors systems and I knew that we had to evolve them and basically just improve our diligence. So I ended up investing over $2 million of my own money putting together the right team, doing the research to build the technology, the AI and all this, bringing people like Bill on from Goldman Sachs, bringing on developers from Goldman Sachs. So to me, my mistakes, I've learned from them, right? And if you go through and look at my track record, it's still pretty good, right? The success rate we had publicly, right? From getting into the private set of chain, like even projects like synthetics, finding products really like that, like ICON, right? Even now, recently, Helium Network, right? So our research was good, but it's not perfect. And I think people were under the assumption that it was perfect and I think that's something we've also learned in terms of risk management and the main part of this platform was, now people can do their own research and not just blindly follow me, but also go through and bring everything they would need in one platform, from the technical analysis to now even adding artificial intelligence. So working at IBM Watson for four years, one thing I learned is AI is the future and it's now come to a point where I'm going to admit okay, humans have limitations. AI can look at so many more different data points and find out patterns in the data that humans overlook. So I will say this, people will even call me a shill. Like I just talked about a notebook recently and they're like, ah, you shill, how dare you? Look, if it's a good product and it fits your needs and it's gonna be good for you, it's gonna be okay. So for Ian, thanks for being honest and just saying, hey, I made some mistakes. Because these days, how often do you hear people say, you know what, I made a mistake, I'm not 100% perfect. It's so rare, it's so rare. So it's amazing when someone says, you know, hey, I made a mistake, but I learned from those mistakes and I put that into another project that I truly believe in, like you're talking about token metrics, what you did there. And so it makes total sense of like, hey, I'm not gonna be perfect, learn from mistakes, here I go with token metrics and this is what I've learned and this is where it's a better project. So it's great, okay, make sense to me. So let's walk through it, show me all about it. So what I'm gonna do is I'm gonna share my screen and so this is why I had you on to go like, here's the manual method, if you wanna go through all that stuff and that's fine, you can do that. If you have a lot of time, that's cool. If you're somebody who like, I wanna invest, I don't have a lot of time, I want someone else to do the hard work for me, this is for you. So I'm gonna give everybody options and that's what makes the world go around, right? All right. Okay, Ian, so we're back at token metrics and again, if you use whatever different type of process you want, the manual one that Ian just talked about, but then we're gonna go over now. Depends on how much time you have and effort and all that good stuff. So Ian gave me a little quick pass. Let's take a look inside under the hood and what is this all about? Ian, take it away. So this is the homepage when you log in. This shows the token metrics indices. So taking all our ratings that we've done on different projects and building model portfolios that people could follow because not everyone has time to go out there and spend hours a day researching projects. So if somebody wants to build a different portfolio based on their preferred investment style, this is where they would go to. So if you go down here, for example, let's say you're a day trader and you want to know what coins to trade. So if you just choose trader daily and choose technical analysis, click submit. Got it. So it's going to go through, take our technical analysis ratings and find 10 coins and build a portfolio around that. And then everything is fully transparent and logged. So if you scroll down, it gives you a pie chart. So this pie chart is allocated based on the grades for technical analysis. We have different metrics that quants use such as shop ratio, so tunnel ratio, max drawdown, the returns. Then if you go down, it also compares the return of this index in the last two months or whatever time frame versus Bitcoin. So telling you whether or not you would make more money trading this versus trading Bitcoin. And then every single trade at the bottom is logged as well. So if you go down there, all the transactions are there. So the price, the entry, the ROI. Okay, so it looks like this is actually, this is actually done automated wise or this is actually what you guys do and then you log it and then so people can see it. No, so this is fully automated by our system. This is based on the technical analysis rates that our models go through and basically pick up. Everything is based on machine learning. Then, for example, let's switch now, we'll go back to the top. Okay. So change the time, yeah, change the time wasn't too weekly. And now choose price predictions. Okay. And click submit. And now I was going to take our price prediction models from AI and do a portfolio based on what tokens and things will go up. So go down. So this is the portfolio based on the price predictions. So if somebody wants to follow just purely based on TA, if somebody wants to follow purely based on the price predictions, they can achieve the same thing here as well. And then same thing, the returns are logged there. Okay. And then same thing can also be done with the value investor. Let's say somebody is a hardler going to hold for one year. That would be. We'll just change the switch to value investor. Okay. They will change to annual annually. Okay. So this approach and just click submit and it will go through and create a portfolio based on that. Now one thing to know the time horizon is how often the index will be balanced. So something that's annual will only update once a year. So it's for somebody who wants to target long-term capital gains tax treatment. So meaning they won't be getting the latest and greatest coins, but these are projects our ratings think have good long-term staying power long-term. My other projects like Ethereum, Manic, Cosmos, Maker, Dash, Bitcoin. Now, so while all this is great, I just kind of show you the speed of value. And internally we've been testing a new grade that we plan to launch called QuantGrate. So this is taking quantitative data points over 50 core data points and building a portfolio around them. Metrics I mentioned earlier like Max.down, all these different numbers. So for perspective, a good investor, or a good trader has an accuracy or success rate or win rate of about 50 to 55%, which is pretty good. If you consider that 80% of traders lose money. There's lots of academic research proving this that 80% of traders lose money. The ones who make money, their success rate is about 50 to 55%. So for transparency, our models, the overall grade accuracy is 62%. The fundamental accuracy from back tests and just success is 64% accurate. The technical analysis model is 55% accurate. Internally, we've been working on a new model that currently is 76% accurate, which is pretty mind blowing. So basically in essence, seven out of 10 times is going to be correct if it thinks the coin is going to go up. So we plan to launch that this month. So actually be critical for your audience to come check it out once you launch that. And this is fully automated. So this is so good in a way that we actually plan to have this replace the humans on our team. So the humans will basically just focus on writing investment reports and doing actual analysis and everything can be fully automated. Because what happened in August and with the DeFi blow up essentially, it was very tough to keep track of all these new coins as it being added to these platforms like CoinGecko, CoinMarketCap. So we wanted a fully automated way that would go through looking at over 50 data points and find the best risk to reward investment or trade. And from now we've reached a point where we're very confident based on our testing that this is outperforming a good trader by over 20% and it's outperforming anything we have by over 10% that this is a good thing to introduce. So we plan to bring that this month. We'll also get an index around that. And the long-term vision for token metrics is to anyway do what Jim Simons did at his fund, the medallion fund. But as we don't know, Jim Simons is the most successful hedge fund manager of all time on Wall Street. And he ushered in the quant revolution. He has the lifetime of his fund. He's basically returned about almost 40% versus Warren Buffett's 20% annual returns. And this has been based purely from just machine learning and taking quantitative based models. So right now I'm talking about tricks. We look at about 74 different data points and we're working now on expanding this in the future to look at thousands. So bringing in equities, bringing in futures markets, bringing in macro indicators, bringing in data points like unemployment, inflation, housing and really trying to take what a smart investor would do from both a macro perspective and a micro perspective and completely automated because our thesis is that AI is the future and machine learning can look at so many more different data points and find hidden patterns that a human can do. So that's kind of what we have. Now then if you go to data, we also have the actual ratings for people who want to draw down and do their own research as opposed to following an index. So if you go here, this is similar to CoinMarketCap but it's based on our grades. So we go through and we reach cryptocurrencies based on two approaches. One for a trader and one for a value investor. A trader is somebody who's day trading or string trading. The most a trader would hold is probably two weeks and we tell you these are the top coins right now in real time based on our analysis. Now I'm gonna say, I see you got Ampleforth as it's ranked third but the market cap is 107. That could be a pretty big play for some people. The good trades are products that have a high token metrics ranking and the market cap lower than that. So there's a good other trades meaning that this, we think it's undervalued today where it is versus where the current market cap is, for example. Yeah, I see Holochain and Matic. Talked about that yesterday. Unit swap still scoring. So, okay, I got you. And then the next thing, so if you just go back to the top, so click the filter on monthly TA trend, the monthly TA, yeah, click that filter, click very bullish and bullish filter. That's going to go through and filter just coins that have good TA, right? So if somebody wants to trade pretty bit based on TA, this goes through with us, two clicks tells are in a bullish trend. Then scroll to the right and then we also have price prediction as well, right? So for instance, let's look at Bitcoin's price predictions. So just go to the top search bar and just type in Bitcoin and click on Bitcoin. So the price prediction is also one of the most popular parts our customers use on token metrics. So we go through looking at just historical pricing. So this page is where we have more token details. So for people who want to go through the price predictions, the fundamentals, the technology, the TA, all that is here. All right, so let's go to price prediction, the second tab on the left. And this will go through and show where our models think Bitcoin is going historically. So scroll down to the bottom. Down to the bottom on the chart. So this chart shows, so this is a rolling one month prediction. Basically, it looks out 30 days in the future using the past historical price on Bitcoin. And it tries to build a model based on AI on where it thinks Bitcoin is going. So obviously it's not perfect. I like this one right here, Ian. I'll take 116. I think we're 26, okay. Yeah, yeah, so it's basically predicting Bitcoin will go up, right? So everything is fully transparent. We log all the predictions down there which shows past history. Now the way to use this is don't just come here, say Bitcoin is going up in one month to that price and not come back again, right? Because this is a rolling price prediction with every new daily close in price, I guess factored in into the next prediction. And so the best way to use this is to probably check it two to three times a week just to see what the trend is going. So for example, after one week, there'll be one week worth of new pricing data. I guess it's factored into the prediction that it makes for the next one month, right? So there's a big crash in Bitcoin of Bitcoin goes up and there's a huge rally that those daily closes will be factored in as well. Got it. Interesting stuff. And then for, if you want to look at, like we talked about the actual project itself, so to go into all the things, of course we're looking at data points inside here, but is there a part where it would talk about, oh, let's just say polka dot and there's like some data points in there that we could take a look at. Is that how it works or no? Yeah, so type in polka dot at the top. Polka swap, polka dot. So we have the fundamentals page where our team goes through and looks at, and basically does fundamental analysis looking at the team, the background, the customers. Right. Then same thing with the technology, we have the code reviews there. So that is helpful for people who research. So this would be it, right? 84%. And then I guess here's the summary. Then you have something else here. Yeah, then the team, then we have questions which we like to ask, and we go through and we rate that. So polka dot is a very solid project all across the board, right? That's right, there's lots of interest in it. But for people who maybe want to do their own research, we do have that available as well. So with the fundamentals and same thing with the technology. Got you. Okay. So this is where it all be. More than 10 proof of state, awesome. Okay, that would be good for something like me. I'm not a TA guy. I'm not a trader guy. I'm just a long-term investor. So this would be a thing for me. And of course I always go for the stuff that I'm interested in and let's see if that works. But yeah, okay, anything else or is that pretty much? I mean, there's a lot of things to go over and of course we can't do it all, right? But anything big that anything else or? We do have discounted trials available. So anybody can try it out for seven days for anywhere between two bucks or five bucks. So pretty easy. Then we also do offer 30-bit money back guarantee. So after the trial, after one month you're unhappy, we'll refund your money, no questions asked, right? So we want to make sure people who use the platform love the platform. Got it. That sounds pretty good. Yeah, thanks for letting me use it, I really appreciate it. And that is pretty much it. And so for everybody who's watching the video, I don't have a affiliate link. I have, I really nothing just to give you that. Just go to app.tokenmetrics.com. This wasn't a paid promotion. It's just that Ian was graced enough to come on and help us with that first question. So of course I'm gonna talk about his other project, which I gotta tell you. I don't have time to look all this stuff. I got three other businesses to run and I would probably, if I wanted to look at this stuff, I would probably go this way. That's just how it is. All right, Ian, thanks so much. I appreciate it, man, and we'll talk soon. All right, thank you. All right, so that's it. So thanks for sticking around with me. I thought that was pretty good. And now even for me, I feel like I know a little bit more about research and how to do things. So Ian, thank you so much. I really appreciate it. Anyhow, I wanted to give some random shouts to people who've joined up for Digital Asset News and we got DH, Frankster. I like that, Frankster. Martin, Martin Benuelos, Mr. Toad, Hype Me Up, Keith Kay, Frank Weinheimer, Ricky Taylor, and Bob. So thanks everybody for signing up. Really appreciate it. If you like these types of videos, there's gonna be two more that's gonna pop up on your left and right. Don't know, YouTube just controls it and just check those out if you got time. Fantastic. Thanks again for sticking with me. Really appreciate it. And I'll see you on the next one.