One visual asset news. My name is Rob. And today we're going to talk about selling crypto more specifically what I will be doing with my crypto when I'll be selling it and the percentage and the amounts I will be selling as things come up. So before we get started, we're going to go over a lot of things. We're going to talk about what everybody should know first, which is how to define yourself as far as your trader type and know your exit. We're going to some DCA examples. I'm going to talk about everything starts with Bitcoin, the PyCycle Top. Then we're going to get into altcoins and the things that we should be looking at, which is the NUPL, MBRVZ score, risk assessments, those types of things. And lastly, we'll talk about exchanges and the mentality to get through this. So first things first, I want to share with you is a quick little story about the Dogecoin millionaire. And this was a great video from Graham Stephen. And he went and just talked to this gentleman, Dogecoin millionaire, who invested roughly $180,000 of his money into Dogecoin when there wasn't really even a penny for quite a long time, quite a long time ago. And it went from less than a penny, or $180,000, turn into $1.2 million in roughly 69 days. Unfortunately, as time went on, he did the same mistake I think we all do, which is believing that it's going to go to the moon. And it's going to go to $1 or $2 or whatever it was supposed to be. And unfortunately, as time went on, his portfolio took a look and in not too much time, it was down to $323,000. And that is, this was shot about three months ago or so, and I'm sure it's down even more so. Today, it is September 21st, Bitcoin's around $19,000, $320,000, and so on and so forth. So I want you to have this ingrained into your memory, because Graham's going to ask him a very simple question, and he's going to answer it. And I want you to remember exactly what he says. Just take a listen. Now, do you regret holding so long? So yeah, that's another statement. And actually that $1.2 million actually ballooned up to $3 million before it crashed down to probably now around $200,000. So remember, you can write it all the way up and you can write it all the way down. The choice is up to you, which leads me to my next point, which is there's a phrase I use a lot, which is time in the market is more important than timing the market. And it's very true. I mean, the longer that you're staying in, usually the better is that's for a very broad time horizon. I will just remind you that today is 2022, September. And we are looking at a Bitcoin price of $18,846,000. And as a reminder, if you would have bought in December 2017, the 16th of December, you would have been up $19,040,000, you would be down $1,000 right now on your Bitcoin. Again, it's all about your time horizon and how long you want to expand yourself out. But along the way, there may be opportunities to take some profits. Nobody ever went broke taking profits. And again, I can not stress this enough. I'm not a financial advisor. I cannot give you financial advice. You have to do your own research. These are just the things that I am actually doing. So we take a look here. The thing that we really should be talking about is what everybody should know first, which is before selling or anything. You need to define your trader type. And you need to know your exit before your entry. What I'm talking about is this. There are many various types of traders out there and investors. There are scalpers. Those just take seconds and they move very quickly. Day traders minutes to hours. You have swing traders, which you could wait, they could open up a position, wait days, position traders could wait weeks or months. So then you got somebody like myself is like a cycle trader, which takes years to play out. Now, I kind of go between position trader and a cycle trader, because I wait for quite a long time to unpack my bags as they were. And then also, if you want to just do a quick down and dirty example of profit, this is the most basic one you could probably think of. So let's just say you want to and you want to know your exit before you get into this would be an example. You say, okay, I'm going to buy Bitcoin at whatever it is, $10,000. Bitcoin doubles its price to 20. I'm going to sell about 11k, which is my initial position, plus a little bit of profit. And I'm going to let the $9,000 that I have into Bitcoin just ride. Maybe it goes up to a million dollars and becomes the reserve world currency. And I am loaded for the rest of my life. Maybe, but that is just one example. And I will tell you this, for the examples that I've used, the things that I've done, this was my exit strategy last cycle. And it was just taking fractals, just taking a look at where things had gone in the past and extrapolate those numbers to see where they could potentially go. And some were wrong, and some were pretty solid on. Now Ethereum was wrong, I thought I was going to $10,000. And I would dollar cost average in and dollar cost average out. And unfortunately, I was only able to pick up the very first point and so along the way. But not too much. Chainlink, it was actually right. I thought it would go to $35. I actually went to $51. And the problem with this one, I think everybody knows is that, unfortunately, I had a plan in place, but I didn't stick to my plan. And if I would have stuck to my plan, I would have made a lot more money on selling off Chainlink because right now it's worth way less than $26. Bitcoin, again, I thought I'd go to $150,000. That didn't happen. Also, EOS, that did not happen. I thought I'd go to $30,000. That was a bad one. Cardano, I thought I'd go to $30,000. It did roughly. I think it was the all-time high, it was $297,000 there. It's number third, it's a pretty high. And then Theta, I actually got that one right. I thought I'd go to $10,000. And I went to $14,000. So these are just the examples I used before. But I think there's a better way. And I put that video out not too long ago. And you can find this on the website at Dante's Crypto, which I took a look at CycleTop callers, the PyCycleTop, NUPL, Time and Risk, and also the Cycle Bottom, MBRVZ, to your MA, Pwell Multiple and Reserve Risk, to just get a better assessment of what could be considered the actual CycleTop. But there's one more thing we really need to answer ourselves. And that is that what kind of investor are you? Because you have to understand that the more conservative you are, the safer you are, but maybe not as great as returns. And this is the thing that I always struggle with. So as an ultra-conservative type of investor, that could be you. This is how I started out. 100% of everything I bought was in Bitcoin. And that was it. I didn't do any altcoins, nothing like that. As time went on, I got a little less ultra-conservative. And just to conservative, and I have Bitcoin about 90% of my portfolio than 10% was Ethereum.  And then 10% could be 30 to number 1,000 of the cryptos and get really down there. Or you could be just a total degenerate and just go, OK, Bitcoin, I know is the safest one, but I just want to sliver. And everything else will be in like the number 200 to 3,000 S coins and things like that. So when you look at these, remember that if you're getting into these investments, the risk versus reward, a lot of these are very risky, but the reward are high. But then in currency, you have the chance of losing everything. And before you knock any of the degenerate moves, I will just say this. We have two channels. This is digital asset news. The other one is Dan Degen. And so far, they've done so well. So Gensokishi, Everdome, Fame and Sweatcoin. When we got into these prices, Gensokishi was 0.01, about a penny and a half. All the time I was $1.62. Not too bad. Everdome, Fame, Sweatcoin, so on and so forth. So the thing that you have to remember is, when I'm getting into these cryptos, what is my risk versus reward? So the best way to take a look at that is to show you through a website called DCABTC.com and also DCA-CC.com. DCABTC, it only shows you Bitcoin. I'm just going to show you a quick example here. So let's just say, oh, for example, that you have $100. And you want to purchase $100 with a Bitcoin every week. And if you do that for the last six months, you would be down almost a percentage just buying things because the market's awful. But let's just back this up for a second. Let's just go over the last, I don't know, five years. Five years. And we go five years when we accumulated. And in actuality, if you would have done that $100 every week, you would get $26,100. Your total value for Bitcoin be $105,000, which is not too bad. However, at the top, it would have been $162,000 depending on when you actually sold. So that's just Bitcoin itself. What I want to show you, of course, is that's pretty good. It's a very safe, safer play in the most volatile market. But what if you do that with Ethereum? That's why I like this website DCA-CC. I'm going to do this. Let's do $100 again. And we do that on a weekly basis. And I picked January 12, 2018, which was one of its highs back in the last cycle to today. And I'm going to click on calculate. And you can just see right here that, yeah, it was a little bit riskier, Ethereum being what it is. But actually, if you take a look at it at the peak, you would have invested $20,000, just like we did with Bitcoin. But the balance in fiat or cash would be $339,000. Let's take it one step further. Let's go to Cardano, the same thing. Let's let's change this up. Let's put $100 every week from same time from January 12, 2018, because of September 19, 2022. And if we do that, and of course, we calculate, we're going to see that in all honesty, we could have done pretty well. And if we go up here to the very tippy top, we would have invested $19,100, somewhere around there. And we would have had $706,480, which is not bad for five years of work at the very top. Now, it's worth much less. And the problem that we have is people always talk about diamond hands and never selling. And they're just going to give this all to their grandkids at its generational wealth. Look, if you want to do that, that's fine. I'm not here to judge you or tell you what to do. Again, I'm not a financial advisor. However, when I think about these things, I think that's not what I'm going to do. And these are not my goals. The things that I do are what I do. And of course, you can take this information and roll it into your research to do your best thing for whatever best suits you as far as investments. So I also, when I take a look at this, when everything goes up, you start to think, oh, I just need to keep going up and going up because that's what happens in markets, right? Well, no. However, there is an opposite thought process, which is this is from CNBC. And he talks about how the chart below shows how if you invested $10,000 into the S&P 500 index for a 20-year period between 1999 and 2018, this is how it would have performed. If you were just left there and never touched it, your $10,000 would be a whopping $30,000, which is pretty good for doing absolutely nothing. I'll be honest with you. And the average annual return is 5.6%. But if you would have just missed 10 of the best days, 10 of the best rallies that were out there, your value would be less than half of what it is. So your average annual return is about 2%. So again, when we talk about time in the market is more important than timing, that is true. The thing that we have to remember is that at some point we're going to need to sell, at least for me. That's not for you. And I will just finish up with this. Those examples I gave you with Cardano and Ethereum at Bitcoin and even this one with S&P, things look pretty rosy. But remember, it's still a risky market. No matter what you get into, here's two examples, a Dash Assault. So these are two crypto projects that were pretty prevalent in the last 2017 bull run. You can see Dash did an amazing job of going from 11, gosh, $3, $4, all the way to $1,000, almost $1,500. And then of course, what did it do after that? Not much at all. And then off we go, and that's absolutely nothing. And there's a worse example here, which is Salt. Salt was a lending platform, did very well, SEC got involved, and there was a lawsuit, and we was almost at $15. And what has it done after that? Not too much. So remember, things that you do could be extremely risky depending on what you get into. So having said all that and the warnings and things like that, let's talk about how everything starts with Bitcoin, the PyCycle Top. So if you're not familiar, we did a pretty in-depth video about the PyCycle Top. And again, find that it's Dan DeGis Crypto. And when we took a look at it, PyCycle Top was created in 2019. Retroactively, retrospectively, it could call the top almost to a T. And then it almost called the top in 2021 a little bit off, but that's just how it is. So what I want to take a look at was, well, how accurate was it? And of course, if you're not familiar, PyCycle Top uses the 111-day moving average. And I newly created multiple of the 350-day moving average, which is 350 times 2. When the 111-day moving average moves up and crosses the 350-day, we see that it coincides with the price of Bitcoin peaking. And I had just thought about that. I go, maybe let's see how accurate it actually was. So here's the PyCycle Top and how it's called the top in every one of the cycles. And just for reference, I want to talk about cycles. I mean, the four-year cycles for Bitcoin, everything starts with a halving. The first one was in 2012, you have a halving. And you get an all-time high, and there's a dip, and there's a reset. And the same thing happened again in 2016. There was a halving. 270 all-time high, a dip and a reset. And then coincidentally, the same thing happened in 2020. We had a halving all-time high, and we're seeing a major dip and probably on the reset in 2023. But I think we'll be back on track in 2024, 25, 26, 27 as things going to work themselves out. So when we take a look at, again, the PyCycle Top, the first one, the first cycle, it actually was very close. Not perfect, but pretty close. So you can see here that this point, the lower part here, where it has the price of $141, that's what it retrospectively took a look at and go, that was the top. But actually it wasn't. It was $214. So that was the first one. The second one is even more strange. You had, it called it out at 1090, when in actuality it was 1184. So pretty darn close. And this was the only time you had a double top in roughly the same time period, the same cycle in 2013. So it did in April and it did in December, which is actually, let me rephrase that, it said in November, 29, 2013, was the PyCycle Top. And then in April, 2013 was the PyCycle Top, which is very interesting, because in 2021, the PyCycle Top was in April 11, 2021. But the actual top was in November, 2021. Just something to think about. So, second one, now here comes the third one. In 2017, it nailed it. Absolutely nailed it. And there is no higher, it's hit it at 19,326 or roughly around there. So I think no one could fault you for selling a little $100 off here and there. And that's a good one. And then the fourth one, of course, like we just talked about, April 11, 2021, the PyCycle Top called the top at 60,148 when the actual top was November 8, 2021 at 67,000. 492. So again, these are, these are still good numbers, but you have to remember this, everything starts with the Bitcoin pump, and then alt pump. So I took a look at the historical snapshot of 11th of April, 2021, and Bitcoin, the price was 60,000, Ethereum was 2100, finance coin was 525, XRP, $36, and so on and so forth. And what I did was I took a look at the top ones and just compared what the PyCycle Top price points were compared to what they actually were on different dates. So Bitcoin, of course, April 11, was 60,000. The real one was on November 8, and it was at 67,000, so 11% difference between the top. So even if you would have sold here, you'll only be 11% away from the top. Not too bad.  On April 11, it was 2157, November 8, 2050, that was 55%. Binance coin was only 22% off, not too bad, XRP, 24%. Cardano was way off. April 11 was 127, and actually peaked 296. That's a 60% difference. However, Polkadot, Litecoin, and Uniswap were pretty darn close 233430. And the biggest one that was the biggest outlier was Solana. It was 2793 of the PyCycle price, the real all-time high price 259 on November 6. So that would have been an issue. However, this is what I always think about, or I'm starting to think about a lot more now, which is DCA in and DCA out. I'm going to dollar-cost average in like we all know everybody talks about on YouTube just about ad nauseam. But I think that's just half of the equation. You have to dollar-cost average out. And what I'm going to do, and I hit that PyCycle top on the next one, because we had a long way to go. We have a very, very long way to go when that 111-day moving average crosses over. I will be selling 50% of all of my crypto. And I'll tell you exactly why later. I'll be selling 50% of all my crypto. Does that mean that I will miss out on some on some tops, some various ones? Yes, like maybe a theorem chrono or something that's even in the top 100. I could definitely be missing out, but that's okay. Because it's all about averages. So I'll be selling 50% of my crypto. And then I'll be waiting for some different signs and I'll sell on 20% and then 10% later down the road. I will not hit all the tops. And my goal is to hit 60% to 80% of the tops. I will not hit 100%. I will not buy at the absolute bottom just doesn't work like that. And it's going to take a lot of pressure off me. Last time, I think it was just dumb luck of what I got to. I think this time, I'm going to take a little bit more look at some indicators. But remember this, everything starts after the Bitcoin PyCycle top, which we're going to play into right now. So once again, when the PyCycle top hits, I'm going to take a look at not just the PyCycle top, any care because that is the first one I'm going to look at. But there's various ones I'm definitely going to look at. And that is the net unrealized profit and loss. I'm going to also take a look at historic risk levels, MvRVZ score, and the well multiple just to get a bearing. I don't want to do too much analysis and get paralysis by analysis. I just want to look at these and go from there to see if I'm in the right ranges.  So I'm just trying to get close as I possibly can. So retrospectively, if we look back, we know the PyCycle top, the top was April 11th, 2021. So if I was to, on that day, take a look at the NUPL, let me just blow this up here. And what I like about these, these are, this is from looking at Bitcoin. And these charts are available for free, they're high quality, I love to use them. First of all, because they're free and they're great. And it makes things very simple, right? When you're in the pink range, it's probably a good idea to, because this is when everybody's greedy, probably a good idea to take a little bit of profit. Maybe, and also in the orange part as well. Optimist anxiety. When it gets down to the green area, probably a decent time to think about accumulating. We talked about this at length on the channel. But if we take a look here, we can see this expanded view. We can take a look all the way back to 2010 and go forward. So what I'm going to do here is, of course, we know that the PyCycle top was April 11th. So I will zoom back in so you can see it in all its glory and just take a look at where we're at. So again, if I was looking at the PyCycle top, and I think, okay, April 11th, the 111 day moving average crossed over, so this could be the time to sell. Maybe I'll take a look at the NUPL just to make sure. And just so everybody's on the same page. And again, we covered this at length on the last video, I have a plan, but just to make sure everybody's here. When we take a look at the NUPL, the indicator is derived from market value and realized value. Market value is the current price of Bitcoin, multiplied by the number of coins in circulation. Realized value takes the price of each Bitcoin when it was last moved. So you've got some whales that haven't moved them for quite some time when Bitcoin was $100. So by subtracting realized value from market value, we calculate unrealized profit and losses. Unrealized profit loss estimates the total profit loss. Paper losses in Bitcoin held by investors or profits. So again, as time goes on and prices fluctuate, you can see this is a pretty good one to take a look at. So again, if I'm taking a look at April 11th, I'm in the orange zone, which so I could say, okay, well, it's not down here. And it's not in this freebie zone or point of no return, capitulation, hope, optimization. And yeah, this could be one. Now I'm all the way not into the red zone, but we haven't seen that for quite some time. So if I was looking at this, I'm like, okay, that's a second indicator that looks like it might be a good chance for me to start to take profits. Also, if we take a look at the historic risk levels, now this is from Ben's website into the cryptiverse. And it's a great website, links in the description. It is a paid website, but it's worth it. I'm going to tell you why. Because we take a look at these risk levels, it's another indicator which could say, okay, this looks quite interesting. So let me reset the zoom again. Again, the risk levels as they go up, the higher they go, the more risky it is. So it's a good idea to think about taking profits when we start to peak, especially above the 0.9 reference range. I think we can all agree there. It's only been one, two, three, four, five points in history in roughly 12 years. So again, if I want to take a look at, I want to zoom into this area around the April 2021. Where are we here? So February, January, March, April 11th. I'm actually at the Bitcoin risk level is 0.7, almost 0.8. Again, back here, it looks like it was pretty risky. However, we didn't see the bicycle top yet, even though it was a risky, but it's high enough for me to say, okay, it's not below five. It's not below four. It's pretty risky. Again, that would be a check for me to move on. Another one would be the MVRBZ score. So I take a look at this and the MVRBZ, it's a Bitcoin chart used as blockchain analysis. And if my periods when Bitcoin is extremely over or undervalued, it takes the market value, price of Bitcoin, multiply the number of coins, to the realized value rather than taking the current price of Bitcoin. The realized value takes the price of each Bitcoin when it's last moved again. And the Z score is a standard deviation that pulls out all the extremes. So again, if we take a look here, let me just blow this up so we can see it. I'm looking for, again, April, February. Again, February was a good time, but it wasn't too great to that time. I think we're playing around 48, 50,000. So it could have been okay. But down here, March, where are we? March, March, March, April, April 11. So the Z score, again, above five, not in the orange zone. So I'd say, well, that doesn't really tick what I thought I would, but I've got a couple other indicators. So that's not bad. And lastly, I'll take a look at the Pwell multiple just to be sure. And the Pwell multiple looks at the supply side of Bitcoin, as far as miners and the revenue. It's calculated by dividing the daily issuance value of Bitcoins by the 360-day moving average. It uses the upper red band of the chart to show when minor revenues in USD terms are significantly higher. Okay. So again, if we take a look at, let's see, right around here. And we go to the April points, April 11, and almost in that red band right there. So I would say, yes. So again, I took the Pwell multiple, which is just for proof of work for minor things like that. MBRVC score, not so much. The risk level, I would say yes. NUPL, and of course, the PyCycle Top is the one that I would do. So at this point, I would say yes, I would have sold if I would have done it correctly. And this is what I'll be doing moving forward. So that would take care of the part for Bitcoin. Now, the next question that you may have is, well, that's great for all these things. But what about for the alts? Because it's a little bit different as we just saw, maybe the same exact thing. And the way that we can do that is using Ben's website. So did you know that PyCycle Top, 11-day moving average, cross over 350-day moving average times 2, can be done with Ethereum. It can be done with Binancecoin, XRP, Cardano, Solana. No, all these things. And it can be done in one place on Ben's website into the cryptoverse. So again, we want to take a look at all of them. So let's take Ethereum. There we go, Ethereum. So the PyCycle Top for Ethereum doesn't really work out too hot, honestly.  You're looking at 21st of May, 2017, when the ETH price is $148. But in all honesty, it went to over almost $1,500. And the last one it did, not too bad. 7th of March, again, $17, almost $2,000.  That's not too great. So again, what I would do is I would say, well, because remember, everything starts with PyCycle Top and Bitcoin shooting up to the stratosphere, and then come the alt. So what I would do is I would just wait and see, well, maybe we'll take a look at the NUPL. Let me change this to Ethereum. And what I want to do, actually, let me reset the zoom. You'll notice here for the NUPL, over on a look at Bitcoin, it has on the right-hand side, it has the Bitcoin price. On the left-hand side, it has percentages as far as how much it's gone up or down. And this, of course, will be 100% of max range or where we were at the very, very tippy top. And, of course, negative almost 50% or 42% down here. However, take a look over here for Ben's. For the NUPL, it's a little bit different. We've got the market cap over here and the NUPL ratio, which goes up to positive 0.5 and down to negative 3. Okay. We can see as we zoom out that the baseline levels around, well, of course, we have zero here and it goes down pretty negatively across the board. But if we take a look here, again, all we want to take a look is we want to see around after April of 2021 and what happened after there. So if I was me and I would take a look at this, again, I can't take a look forward because I would be looking at this in real time. So let's just say I'm back in April 11th right here at 0.479. And I think if I look back, I say, well, the top last or beforehand was 0.6. So maybe I want to get a little closer, maybe 0.55 or somewhere around there. Because maybe that's not it. Because I know that Bitcoin tops and then the alt start to top. So anything after April 11th, I'd probably say it might be a good time. So let's see here, 0.51, maybe not. Around here, 5152. So right around here, what's this? The 3rd of May, 2021, 0.5. I'd probably want to get rid of 50% of my theorem at this point. So 0.56, that was the 3rd of May, 2021. If we take a look here, 0.3 of May, where would that be? Not bad, 0.3500. So we missed it by about 1,000 roughly. And again, I will never hit the top. But I think it's a good way to take a look at things of where we're at and go from there. Again, once I get 50%, if it goes up some more, let's say it goes up another 10%, 20%. Well, I can sell 20% later because I have things in reserves. I will never sell all my crypto, but I'll probably sell a big chunk. So that is that part. And also, if we take a look at MBRVZ score, let's see what that would tell us. Well, again, we're at 2021, and this is Bitcoin. I need to change that to Ethereum. Right here, let's zoom in. So, well, this looks tasty. See this one right here? Again, same thing, 13th of March. I'm looking at these points. If I'm looking at anything above 4, this would all be good times to sell. Again, taking a look at different charts and different graphs just to get an idea of where I'm potentially at. Historical risk levels, let's take a look at ETH. And let's blow this up a little better so we can see it. So, again, above 0.9 is a good time. When do I get 0? Okay, 10th of May, the same thing. And yeah, 3,400, 3,500. Again, not going to time the top, but it's okay. And then lastly, well, the Pwell multiple would have worked when it was proof of work, but now it's proof of stake, so that just kind of goes to the wayside. Same thing with Cardano and so on and so forth. So, again, you can use anything that you want to, but it's putting together these different charts just to give you an idea of where things are going to say, okay, that looks like it's a good time to potentially sell. That looks like a good time. And over time, and using multiple pieces of data, you can make the best decision for yourself. Again, this is not financial advice. This is the things that I'm going to be doing very closely as we move forward. And there was one last piece that I forgot to talk about, which is this. I believe in the four-year cycles, like we talked about at length. However, that is a meme that this will happen in 2025. It may happen in 2024 or even 2023 or maybe even 2026 or 7. I don't know. But the thing is you have to be aware of is you have to be conscious of the changes that could potentially take form. Don't get married to one idea like I did in the past and say, like, it has to happen at this and has to happen at this way. Just take a look at the data. And when the data changes, you change. But the things that I see right here, these are things that I will still look for. PyCycleTop, MBRVZ, well-multiple, well, for Bitcoin. And of course, the risk factors. If we can take a look at all those things, I think we can get a better understanding of when to potentially sell. And that will lead me to my last two points, which are exchanges and the mentality. So real quick, there's a link in the description. Or if you're watching this on Dantige's crypto, it'll be a link underneath this video, which says the exchanges. Here are the exchanges that I use if you want to use any of them for purchasing said crypto and delta cost averaging. I use four. I'm in America. So this is what I got. FTX, Kraken, Coinbase and KuCoin. And then lastly, I just want to talk to you real quick about the mentality. To remain calm is a superpower. Bruce Lee said that and it holds true today. And when you see in my videos and you see that we lose 20% or 50% or whatever, I don't know, whatever it is of the day, I'm pretty much the same way I'm right now. I just try to stay calm because I know that this is a natural progression. For some people, it's a little bit more difficult. And for those people, I'd recommend this website, which it is the dailystoic.com. And the thing was great about that. It's free. And you just sign up right here, sign up for the daily email. And I'll just give you some perspective from some of the greatest philosophers in the entire world has ever known throughout history. Marcus Aurelius, Epictetus, all the different Greek philosophers that really have guided me a long way. And here's the last, this was the last email I got, which was today.  And tell me if this doesn't maybe bring true with you. Temperance. Temperance isn't about elimination. Going without or moving something bad. It's about moderation. Finding the right amount of something. Aristotle's famous metaphor, the golden meme, the idea that virtue usually sits between two vices. Courage is between cowardice and recklessness. Confidence between crippling self doubt and blinding arrogance. Hard work between workaholism and laziness. And also chasing money between just having, being financially stable. And threw that in there because that's pretty much what we're doing right here. I don't want you to get burned out. I want you to have that mentality to go, okay, I can take my profits. I can move forward. Not a big deal. And then there's some other parts here that I'm going to let it go. So this video is going a little bit long, but that is it for today. So look, I know there's a lot of information to digest. And these are the things that I'm going to do. Not something that you specifically will have to do, but maybe you could put that into your repertoire of things that you may be doing along the way. But that is it. So first of all, thanks so much for stopping by. Do appreciate it. Like this video. Give it a thumbs up. Consider subscribing. And that is all. So thanks so much for stopping by. Appreciate it. I'll see you on the next one.


Car plunges into Pigeon River, Wisconsin DOT to hold public hearing on Highway 23, Kinship Kennel's jury trial begins. These stories and more, coming up on Community News Review. Welcome to Community News Review for June 12, 2018. I'm Maddie Fister. Flight for Life was called after a car left I-43 and crashed into the Pigeon River last night. The Sheboygan County Sheriff's Department says it happened around 9.30 when crews got to the scene. The passenger was out of the vehicle and the driver was pinned. Flight for Life took the 53-year-old driver to Theta Clark Hospital to be treated, and the passenger was taken to St. Nicholas Hospital. Deputies say the driver was traveling south on I-43 when he fell asleep and his vehicle left the road. The Department of Transportation has announced a public hearing for improvements on Highway 23 that would widen the stretch between Plymouth and Fond du Lac from two lanes to four. State Senator Devin Lemahue says a new traffic study was conducted and it showed that there was 207 non-deer crashes over that 19-mile stretch in the last five years. This hearing is one step in the process the state must go through to widen that stretch of Highway 23. And Lemahue says if everything goes on as scheduled, construction could be getting next summer and the project could be completed by 2022, assuming that there are no lawsuits or judges ruling to shut the project down. The hearing will be held on Tuesday, June 19th from 6-8 at UW Fond du Lac. The city of Sheboygan officials officially broke ground on the City Hall Renovation Project on June 4th, 2018 after decades of discussion on the future City Hall. On April 4th, 2018, the Common Council voted unanimously to renovate and improve the functionality of the existing building for the benefit of the public and the city staff. The concurred with the plan recommended by the Building Use Committee to stay in the current building and implement a more efficient floor plan with the new entrance plaza and off-street parking north of the building. The three-story 37,320 square foot renovation project expected to be completed the summer of 2019, and it will include a new HVAC system, new windows, a new elevator, new roof, new flooring, and a new Common Council chamber. The total cost budgeted for the City Hall project is $10.5 million. Public Work Director David H. Bevel was the official host of the groundbreaking ceremony and presenters included Mayor Mike Van der Steen, City Administrator Darryl Hofflin, and Matt Coshus, President of Coshus, who is the general contractor assigned to the project. City Hall officials are incredibly excited to announce the start of the reconstruction project of the City Hall, said Bevel. Several city officials were in attendance along with the city employees and citizens. Officers from Bray Architects, Emmons Business Interiors, and Coshus Construction were present as well. The City Hall renovation that began June 1st, 2018 required all departments to move to alternate locations during the construction. Two office locations are accommodating all City Hall departments and the formal Social Security Administration Office at 606 North 9th Street and the former Sheboygan County Highway Department Office at 1211 North 23rd Street. New hours of operation are 8 o'clock a.m. to 4.30 p.m. The building inspection department located at the former Social Security Administration Office is open 7.30 a.m. to 5.00 p.m. The video of the ceremony can be seen at WSCSSheboygan.com. A three-day trial begins Tuesday morning for Christy Tuchel, one of three co-defendants in the Kinship Kennels trial. Tuchel is facing a number of charges stemming from an investigation that involved the seizure of 36 live dogs from the kennel in the town of Wilson last summer. While officials were at the kennels, they also found an unplugged freezer full of dead and decaying dogs. Tuchel has charged a felony account of mental harm to a child, mistreatment of animals, and misdemeanor charges. Sheboygan Police are investigating more vehicle break-ins this weekend. An alert from the department says that these vehicle entries were two unlocked vehicles that had firearms in them. They are reminding people to keep their vehicles locked when they are parked and do not leave valuables and unsecured firearms unattended in your vehicle. This follows after two 17-year-old boys were charged for breaking into vehicles in Sheboygan last month. Jesse Duplichain and Preston Klein are facing 14 misdemeanors for the break-ins last month. Court documents say over a dozen vehicles had been broken in two. One of the victims thought his Audi might have been driven by one of the teens because the car was in disarray when he got into it in the next morning. The teens admitted to taking the money and going on a spending spree. They are each facing up to six years in prison if they are found guilty. In celebration of the 100th anniversary of Wisconsin's oldest continuous orchestra, the Sheboygan Symphony Orchestra, Sheboygan Squared Business Improvement District, and the City of Sheboygan collaborated on a placement of the musical notes in the street side downtown flower planters. In February, the Sheboygan Symphony contacted city staff about ways to energize the streetscaping through the creative placemaking to celebrate their 100th year in an area of North 8th Street near Stephanie H. Wiles Center for the performing arts. The first idea of hanging banners off the light poles involved into a creation of metal musical notes that would be installed above the flowers in the downtown planters. The Sheboygan Symphony is excited to celebrate their 100th year by partnering with the city and the downtown to create a sense of place downtown as we tell the story of the symphony, stated David Gillianetti, SSO board member and chair of the SSO Continual Planning Committee. Approximately 40 musical notes fabricated by the students at Lakeshore Technical College, with Sheboygan Symphony 100 years, engraving them into where the installed flower planters along North 8th Street from the Erie Avenue to Pennsylvania Avenue. Downtown flower pots are planted each year by the Town and Country Garden Club. And that's our report for Tuesday. Join me again on Thursday for another recap of our local stories on Community News Review.


And of course there are multiple ways of doing it. So for example, let me share my screen again. You must be also seeing a plus mark next to the direct messages here, right? When you click on this plus mark, it will open onto your right side, a list of all participants who are in this workspace and you can select a person's name just by, you know, you can click on his name or else you can type at mark and then type that person's name, right? So that's how we do it. Say for example, if I want to message Rajiv, I just type at Rajiv, right? And then it'll be a direct message that is opening with Rajiv and me. Say in case if I want to create a group, right? Group passing like if you want to, like for example, I think it is on the eighth day, we have a group activity about interpretations. So if you want to create a group amongst yourself, discuss something, you can add multiple people, like I'm now randomly trying to send some messages, so I will add Rajiv and also say for example, yeah, Alex, right? And I do like this and I say hi and this is in fact a group chat between Alex, Rajiv and myself, right? So that's the next way of doing it. So like you have multiple methods, the first method I displayed was that you can search the person's name here, or else you can click on this plus mark here and then select the people you want to message. If it is just one person, just select that person's name and then send a message. So if you want to add multiple people, you can select or you can start typing with at mark. I hope it's clear. If you all have having no other questions, I think we can start the next session, yeah, all right. Also, Saurabh? Yeah, thanks so much. I'll share my screen and start the next session. I hope my screen is visible. So yeah, so during past few years, a lot of enhancement is happening in the analytical features available in DHIS too with each release. So before we start the core applications and the sessions related to that, we thought it's good to kind of take you through to the new features and the enhancements that have happened over time in different versions in DHIS too. And there we stand today with respect to the functionalities available so that when we discuss these apps broadly, you kind of have a background to these apps and the functionalities which have been developed over the past few years. So as we all know, most of us know that in DHIS too, there are four core analytical tools used, the dashboards. Then we have data visualizer for our charting needs and pivot tables are also not part of the data visualizer app and the maps application. So with each release of DHIS too, there are updates made to these tools and in this presentation, we'll go through the main updates that we've seen lately. So after 2.28 in 2.29, major revamp happened with the DHIS to dashboards and the analytical applications. The dashboard stack was totally rewritten to kind of build it on the new React framework and which kind of made it more dynamic in terms of utilization and gave many more options available on the dashboards for the users to configure them in a better manner and make it more presentable to the end users and make it more attractive in a way with different features which have just been evolving from version 2.29 onwards. So with version 2.29, the dashboards allowed the custom sizing and location of the dashboard items where we could size the dashboard items based on our need. We could scale them up for full scale width or we could make it more concise to kind of fit more objects together so that we have a collection of items which could kind of depict a story, depict a picture for the end user to gather as much information as possible. The maps dashboard items were kind of extended to be shown as in a full screen mode. So there is a full screen option available, the icon which you see here. So the map can be shown on the full screen. Then there were rich text formatting added to the interpretations, the comments and descriptions so that they could be seen on the dashboard at the onset itself on the dashboard page. You could see what interpretation has been added for this particular map who has created this particular analytical object and when it was created and when it has been last updated and how many views have been there and what was the objective behind creating this respective dashboard item. From the dashboard itself, you could easily move between the different visualizations available in the HS2. So if I have created a map item here and that's the default mode of presentation which I have on the dashboard, I could use, I can kind of switch the same dashboard item into a chart or a table. So from the dashboard itself, I'm able to change the visualization type and to see the same data in a different format based on the layout and the dimensions that I selected while I was creating this map, the same apply to the charts and the tables depending upon the structure which is defined by you. Then there are filters available which kind of allow you to add different filters based on the periods and your geographic hierarchy, your organization unit hierarchy and then the dimensions of data which might be applicable to the dashboard which you have created. So you could apply multiple filters on the dashboard and all the corresponding dashboard items will get filtered based on the dimensions that you selected on the top. So for example, if you're talking about seeing the data only for a specific period and a specific district or a province, then you can put those filters here and the entire dashboard will become a dashboard which is filtered to the period that you selected and the province of the district that you selected. Or if you want to see data by different dimensions that you have, say by ownership of the facility or you want to see by type of the facility or you want to see by the residence type, the urban or rural, then wherever these dimensions are applicable to that data, the filters would automatically apply and dashboard would convert into kind of a filtered version of the entire stack of data which are populated on the dashboard. Then on the dashboards which you're creating, you can always put a star mark on the dashboards so that your favorite dashboards are always stacked in front of the queue and you can have, of course, more than one dashboard which is available, but when you star mark a dashboard, you kind of mark that dashboard as a favorite. So your favorite dashboards will always be stacked up in the order and your rest of the dashboards get followed thereafter. Then there were navigation changes which were made so now if you want to further explore this particular map into the Maps app, then you have a separate option to kind of open the visualization item into the core app in which it was constructed. So since this map was built using or designed using the Maps app, then you have an option to open this particular map into the Maps app to either make an update to the map or add further disaggregations, maybe change the legend, things like that. So you can go back, update this and save so that your most recent version gets updated on the dashboard. The most in-demand feature from many of the organizations and the ministries of health which is using DHS was to have the ability to print the dashboard into a PDF or into a printed version which could be shared with the users or could be kind of used in a report as an extras or things like that. Any external use cases which you had with these dashboard items. So now there are two options available. One is you can either have one item per page, one dashboard item per page in the print file that you generate or you could have the dashboard layout as is. So a frame of that specific dashboard will become part of the one page of that respective PDF file which gets generated or the printable file which gets generated. So you can take printouts from the dashboard directly. So this was kind of most requested feature which is available now from version 2.35 onwards. So this is your print preview. So based on the way you have designed your dashboard and the right fit of charts on a single print area, the system generates a print preview for you where you can take a print and also download a PDF copy of the dashboard itself into different pages. The data visualizer has been around a long time and it has evolved over time. So a new visualizer app was introduced in version 2.31 where there was a new interface for selecting chart type dimensions and setting your layouts. Now the layouts are always persistent over the chart. Earlier they were hidden in the layout option so you had to click every time to check the layout but now you see the layout always on top of your chart and if there's any change required you can do that particularly. There were new chart types introduced based on the requirements which came up from the ministries of health and the partner organizations who have been using DHLs for their analytics and data management to have air over air bar in line charts to kind of see the performance of that particular indicator in the month over a period of years so you could compare the performance and the trends air over air on a monthly basis. Then there was also requirements to see the single value charts where you could just see the summary of the data both as raw and cumulative forms so that a snapshot could be taken and this has been extensively utilized for the COVID systems where you just create a grid of data for your all identified positive cases how many recovered, how many are active cases, how many deaths so the single value charts kind of gave you a quick snapshot view of the latest data and kind of helped you to have a quick summary of data available right at that moment as you open your dashboard. Then there were also requirements coming in to create combination charts in terms of supporting multiple accesses and kind of merging two different chart styles together in the same chart so from version 2.34 we started with supporting two access chart where you could plot two indicators of two data elements of two different accesses or if you wanted to include your raw data and your coverage indicators on the same chart then you could use them on multiple accesses now from version 2.35 onwards you can have more than two accesses up to four as of now and you could use a combination of chart types you could use on the same dashboard on the same visualizer item or the chart item you can use a bar in the line chart to show two different indicators and you can see the numbers and your coverage proportions together on the same chart so those trends can be plotted now pretty easy. Then there were also requirements coming in to kind of support multiple categories on the same chart earlier you could either see the monthly distribution of urban cases or the monthly distribution of the rural cases but now on a single bar diagram you could compile information for multiple categories so you can group your urban doses given for example in urban areas in one slot and your rural areas in the next slot so that you could do a comparison between the different categories in which the data is collected so now two category charts are supported from version 2.35 onwards and you can access four accesses to your charts Gate charts were available since version 2.31 but then earlier they were with the same color but now they are supported by legends and you can add your target and your baseline lines as well so on a gate chart you can put your baseline that this is what is the bare minimum you're looking at and this is your highest target that you're looking at so this could help you to see what indicators are covering your baseline and what are kind of crossing your target which you have said then on single value charts which kind of came up in version 2.33 they did not had support for adding legends or colors but now from version 2.34 onwards they have the option to add colors to them so they kind of were used extensively for the COVID grading where we kind of were able to put our positive cases in red we were able to put our active cases in orange and recoveries in green and deaths in gray so that we could kind of symbolize the data with the different legends which are available in the system there have been kind of attempts towards making the system guide the user that what could be the potential recommendations with respect to the data elements of the indicators the person has selected so for example I have selected data elements or an indicator for BCG coverage and then the system is kind of recommending to these green dots which you see that these are the possible recommendations which can be used for further enhancing this respective chart icon so if I selected BCG coverage then in the background this is the system understands that for this particular data for BCG doses we are collecting it by say the type of facility or we are also collecting it by the doses given in urban or rural areas so it kind of highlights the possible recommendations which could be used by the user to add further disaggregations on top of their data to kind of make your charts more descriptive more elaborative and kind of give you a detailed overview of the different disaggregations or dimensions which you can add so these recommendations come automatically based on linking your data input categorization to the indicator disaggregation which you can add on the interpretation panels when under a company design where you could subscribe in the interpretation panel so as we do on different social media platforms we subscribe to different YouTube channels and as soon as a new video is posted by the YouTube channel we get us alert on our mobile phones similarly we have functionalities where if some dashboard items are your from your area of concern and you would like to let us updates made to the interpretations then you could subscribe to these dashboard items and as soon as any user posts any update to the interpretation then they are able to get an alert that an interpretation or an update has been posted to their subscribed dashboard items and they could also kind of put mentions you can search for different users similar to what we do on our social media chats on Facebook and Instagram and also we saw on Slack that we could mention a particular person and tag our response to that specific person so kind of building one on one communication within the group and kind of building communication around the data through the use of the interpretations panel this could be done both on the dashboard on the data visualizer app and also on the dashboard as well then another feature which was requested was to kind of have chart color sets so basically the early releases of DHS2 it had a fixed color palette which was applied to all the charts but now you have some predefined color sets which you can apply to your charts so you have various options to choose from when we will be covering these applications you will see that in detail what are the color sets available and how you can utilize these color sets in your charts when you create you can do text styling now you can change the style color and size of the text and within a visualization you want to use the style you want to put in bold you want to change the color or you want to change the size of the text you can do that so you can customize your chart item based on the preferences which you have favorite tables earlier were working as a separate app in all those releases till date but towards kind of creating and more integrated experience for the user all the functionalities of the pivot tables are now being added to the visualizer app as an additional visualization type and the pivot table app will get deprecated and will not be part of the DHS2 package moving forward so from version 2.37 the pivot table app will no longer be supported and all the functionalities which are available in the pivot table app will be integrated within the data visualizer app and pivot table is now as a chart type or visualization type added in the data visualizer so when we cover pivot tables we will be focusing more on the chart type which is integrated within the data visualizer app and not the native pivot table application which is available in the system in terms of migrating from the old app to the new app if your instance has already configured pivot table favorites then they are already compatible with the data visualizer app and they will open as they do in the pivot table app so that migration has been taken care of. In terms of pivot tables there are a lot of improvements have been made to in terms of the performance as done for the charts the arrangement of the dimensions between column periods column rows and filters is now persistence over the header earlier in the old pivot table app everything was within the layout menu now it shows on the top and it's easy to switch the dimensions if you want to the recommendations same we saw on the visualizer are also applicable to the pivot table and there are interface improvements where you can define the spacing between these rows and columns you can increase the size of the text and the arrangement you can make the table more compact or you can make it more easy looking so based on different options available you can make certain changes to to the pivot tables that you create maps earlier we were using the GIS app in the older versions but from version 2.29 onwards we have the new maps app which has brand new interface for adding the different map layers so these are the layers which are supported as of now and from version 2.35 onwards we have moved to Bing maps and in 3.6 we have added more integrations with world pop 3 which kind of brings the population data set into DHS2 kind of adding more external source of data available for you to analyze your data against the downloading of maps was not initially supported in the new maps app but that has been added now and you could download the image of your map that you've created with the legend and you could decide the location of the legend based on your preference and now you could also download the map data in a downloadable format which is supported by ArcGIS or QGIS or any other GIS software so if you want to do much more than what DHS2 offers in terms of maps you could always download the data from your map and import that into any other GIS system for advanced analysis so this is how it shows up you can download the layer data and you could import that into your GIS application all the maps are now supported by a data table so not only you see the data on the map in terms of the legends that you have defined but you also see a tabular format and you have these filters available where you can put the different filters here so you want to filter by custom values which might not be part of a legend you just put greater than 70 less than 75 so you can put ranges and then it will automatically categorize the map and the table both for you so we will see this in our demonstrations and further exercises that we do moving forward you could now use data dimensions as a filter in your maps for example if you have created a map where you want to see the total number of HIV testing done but then you are collecting data by male and female disaggregations but you only want to focus on the female cases so you could add a filter in the thematic layer that you want to filter the data by sex and only want to see the HIV test done for female cases on the map so you could also do filters on the maps as well now now you can do both the clorpet and the bubble maps earlier only the clorpet or the heat maps were supported but now you could also plot data and different bubbles both supported now in the maps application then there were two new introductions done where you could see the maps as split view so if you selected last five years of data for one indicator then it will just show you individual map for each year for that respective data or if you want to see a timeline map then you could select your timeline map select your period then for each period it kind of works like a graphical interface where it will keep on switching year after year automatically and you could see the change which happened for that indicator here after year so these are the two two new functionalities which have been added in the maps application so this was my last slide so these are the latest updates which have happened or over the analytics apps most of you might be aware of these proceedings to those who were not aware so we wanted to give a quick snapshot of what has happened over the last three or four releases on the analytics application and we will be covering these features in detail through the dedicated sessions that we have for each of the core apps and we will be happy to take questions which you have during those sessions but if you have some immediate comments and questions please feel free to ask or you can post them on the Slack channel and we will be happy to answer them thank you alright so I think we can take a break now for 10 minutes before we do the last session of the day where Pamuth will do a quick demonstration of key analytics features in the application so the local time is 3.17 let's come back at 3.30 and that would be a last session for the day and we could close the day for today and the Slack channel will remain open for you any comments any suggestions please put so and yeah that's it so let's regroup at 3.30 and then Pamuth will take you to the last session thank you