Okay, so welcome to the Bookmap webinar. We're going to go through some of the basics of what Bookmap is displaying. We'll do that every day, and we always have new users in here, and reaching out to some of them who is new here. If you can just type in the questions there, if you're a new user or new to Bookmap, and use these webinars to your advantage to go through any of the questions that you have regarding it. Okay, we have a few here, so welcome guys. Let's see Scott, Billy, John, and some others here as well. Good morning Francisco. Okay, no, great. Let's just start off. We're going to go through the basics. I'll show you Bookmap so everyone understands what it is, and then we're going to look at the live order flow in the markets, because this is how we use the tool, and then answer any of your questions. So first off, changed a few images here on the home page as you can see. So if you click on explore on the website here, you'll come into the scrolling page, you can click on pricing, and this is where you can find Bookmap, and let me just cover quickly. You get a 14-day trial period here with Bookmap, and there's basically just two versions of Bookmap. Bookmap basic, Bookmap advanced. These over here are still basic and advanced, but they just come with the DX feed. The DX feed is getting U.S. equities, and we're not a data provider, but we do have a partnership deal with DX feed to offer total view NASDAQ, and that's the package deal here. It's more for the equities traders who are new, and they're looking primarily to trade the equities. If you're equities trader and futures trader, well then I would suggest go with one of these over here, Bookmap basic or advanced, and then you can add the DX feed as you like as an add-on. It'll just cost you a few bucks more, it's like $10 more or something like that over the entire period, I believe. Anyway, it'll just be a bit more expensive, but you have the flexibility to add or take it away. With these package deals, it's for the quarter. So you get a 14-day trial period with any of these. The differences between the Bookmap basic and advanced are the add-ons, and there are many. And the ability to trade right from the Bookmap chart, which is a distinct advantage, because we're showing all of the liquidity. Let's see Leon, Leonel, I think everyone can hear me. So maybe log out and then log back in. I know you're not going to hear that, but let me reply here. There you go. Okay, so that's Bookmap basic and advanced and DX feed. You get that 14-day trial period. Then when you come into the user portal, that's here. You have access to a lot of the free resources, and you'll see the features videos here.  You can follow us on Twitter, our Twitter feed gives the most up-to-date information. And then you can subscribe to our YouTube channel. And let me cover a few of the things here in the YouTube channel, because we just finished the educational course a week ago, I guess, or a couple weeks ago now. And they're available here. All of the recorded webinars are here as well. So the way to access them is we'll click on Playlists here. And that'll take you to the Playlist page. And then here, you can see all the recorded webinars are here. So click on that, and then you can see that here's yesterday's recorded webinar. So let's go back. Other ones, here's the educational course, Parts 1-4. And then let's see all the features and components videos for the new guys. I would recommend going through these and start with the Bookmap 6 overview. All right, so you know what you're looking at in Bookmap. And then even before the educational course, I would highly recommend checking out some of these very short videos that go through market phenomena that we cover here during the webinars and that you'll see in Bookmap. So you get a very concise understanding view of some of that phenomena. Excuse me. And then you'll see it repeat again and again in Bookmap. So these can be really helpful. So there are many of these. So just start with a couple and get to understand them. Okay, so that's the basics here. And let's see, I didn't read the disclaimer yet. Trading equities and futures involve substantial risk of loss and it's not suitable for all investors. Past performance is not indicative of future results. Okay, I've covered everything else here. So let's move on and let's look at Bookmap. Okay, so I've got the ES loaded up here. Boy, I think I may take a look at something else today. The NASDAQ has just been moving every day. So maybe we'll take a look at that. Yesterday we really didn't get much movement out of that ES. Or we can maybe take a look at Crude. Let's take a quick look over there. Yeah, whatever. Yeah, maybe we'll focus on Crude here. Unless anyone has a vote here for the NASDAQ, then we can we can take a look at that. You know, it's FOMC tomorrow. So, you know, I'm kind of anticipating sideways action anyway. But anyway, let's start off here looking at Crude.  Okay, so that's a possibility. Let's jump over there and take a look at, we also have stocks here. So we can take a look at Apple. Anyone in here that trades equities? If you can raise your hand or type in yes in the questions there. The equities traders in here. Or maybe you trade both. Okay. All right, John, you're trading the equities. Okay. Exclusively, John, just wondering, are you trading futures as well? Okay. Yeah, so you're trading a variety of things. All right. Let's see here. Okay, you want me, okay, I'll go through the tweet in Apple. So let's start off here. Let's first start with the basics of book map and what is displaying here. And then we'll get into that. Okay, so I'm going to look at Crude here. And let's first start by taking all the data off the chart, except for candlesticks. Volume bars will be volume on. No indicators and no heat map. And no best bid and offer. Okay. Okay, so here we are looking at candlestick chart. And this is a minute chart here. In fact, let's click on studies configuration. I'll click on candlesticks here. And then you can see it's chosen. And then I'm going to change that to five minutes and close. And then I'm going to zoom out by just using my center mouse wheel to zoom. Okay. So we're looking at a five minute chart here in crude oil. All right. Now, most of us are very familiar, overly familiar, looking at a candlestick chart. And candlestick chart, though, has really quite a big problem here. It's showing very, very limited data. And we're making financial decisions based on this kind of data. And that's a problem. So we don't know where the volume, where the traders are committed. We don't know where that volume traded, how much, what type. And what was the speed of some of the moves? All sorts of data is missing here. So we're going to start to layer the data on in book map. And I'm going to show you how we provide that data to make much more informed trading decisions. And we're also going to show the auction. Okay. That's something that you just don't see in charts. And that's from the limit order book over here, the dome. And most of us are very familiar of a dome and what it is displaying. However, we've never really seen it on the chart historically. Okay. So this is, we're going to take advantage of that. And that's going to be the last piece that we're going to add here. So let's just start to add on, very simply, best bid and offer. Okay. So all I'm looking at here now in book map is my candlestick chart. And I have the historical best bid and offer. Okay. The green line here is the historical bid. The red is the historical offer. Already, I'm getting an understanding, much better understanding of the order flow. And I can start to see the speed of things. It took for movement to take effect and how it might have stopped at certain points. And then how you get retests back into certain areas within that five minute period here. All right.  Okay. So I imagine we're going to see a lot of liquidity up here at the figure, the half figure. So a nice little kind of stop run maybe above here or is this initiated buying outside of this range? We're going to determine that in just a minute here. Okay. That's getting into auction market theory. So now let's start to add on other information here because we just have the best bid and offer historically. Okay. We have no idea about the volume where it traded. Okay. We do have a volume sub chart here in book map as you can see. And it's giving me some information, right? But it's not all that detailed. You know, I still can see where the volume is taking place, but I don't really know where exactly it took place on this candlestick, how much, what was the overall reference within that five minute time period and the aggressor. Who's the aggressor? A more aggressive market buys or market sells. Okay. So let's add that onto the chart. Okay. Now I have a much, much completer complete picture here of what's going on within this price activity. Okay. Now I can see and let's zoom in, click on the hand tool, I'll hover over this area and I'll just use my center mouse wheel. And let's look at this five minute period here. Okay. Let's look at the difference between these two bars. All right. Okay. So this is really what occurred here in this candlestick. Okay. We opened here. Okay. And that was the open and then we kind of bounced around and got a few ticks to the high side here.  And then we went sideways for a bit here. And then it sold off pretty quickly here. Okay. And then for the last minute, you can see that we just kind of went sideways here. All right. So and that's where we ended up closing. All right. So now we can understand the exactly where this volume took place. And then we can also start to see with the with the reference here in the dots exactly what type of volume took place to. Okay. Let me zoom into this little area here. And I'm going to break up. You can see we start to break apart that data. So all of this data is still here in book map. And as I continue to zoom in, okay, you know, you can see the granularity. We're looking at millisecond level here, which is still quite slow as we zoom in. And we see this one event that took place here. Now we're down to microsecond views. Okay. So you can get, you can continue to zoom in. We can get down to nanosecond views. Okay. So, you know, we record every single event and we can display it on the chart. Now that that kind of data is impressive to see. And we can see that, you know, the kind of spacing here that there's some algorithmic activity that's going on within this area. This is how these markets trade. Okay. So a red dot is an aggressive cell that hits the bid and takes liquidity off of the best bid. And then a market buy is a green dot that takes place on the best offer. Okay. It takes liquidity off of that best offer. Okay. Now as I zoom out, you note that, you know, we're zooming out and we're compressing that timeline here. And as I continue to do that, there's only so much space to show you where all that trading activity took place. Okay. And we're still giving you the overall aggregation just graphically of what occurred in this area. There was a lot of buying and selling. There was a big flurry of it here. And we display that in a big dot. And within that dot, you can see the pie display. So about three quarters of this was aggressive selling and about a quarter of it was buying. Okay. So now we have very specific information about what occurred within this time period of five minutes. We can start to see exactly where all of this action took place. All right. And if we want to show a distinction here between what book map is showing you and what a footprint chart is going to show you. Okay. So for example, a footprint chart, you might miss some of this detail here. Okay. So we can see that we came down here pretty hard. Okay. They really got aggressive and they started to hit the bid pretty hard with a lot of aggressive selling. But within this five minute period, look at these little pullbacks and tests here, retests. This is not going to show up in a footprint chart. And the reason being is that they take this period here and they'll show it within a bar timeframe period or candlestick rotation period. Okay. It's aggregated data. Right. And we're showing every single bit of data here. Okay. And that is the problem with those footprint charts is that they aggregate that data. Okay. And book map solves that problem by showing every single discrete market event.  So that's covering the data. And we can cover maybe if there's any questions about exhaustion, et cetera, absorption, then I'll be happy to go over all of that. But it's basically exhaustion. I'm talking about a lack of aggressor. There is no activity. All right. And you can see that very clearly on the charts. Look at these little points here and here and here. Okay. And that's very typical in a downtrending market and up here as well. You have exhaustion on the lower highs and then at the lower lows, you'll have all of the trading activity taking place. Okay. The majority of it. All right. So now there's still a problem here. And that is we don't understand the auction yet. What's what where were they bidding in offering? And that's important data. Okay. Now we usually get that data here in the dome. All right. But a dome has a problem. Okay. That problem is that it's fleeting. So like as I scroll along here, look at how these numbers change. Right. And they update and they fill in an update the previous number that was just there. Okay. So now we've lost the data that was there previously. Okay. So it's always changing. These numbers, the liquidity here at these price levels are always changing. Okay. So let's just cover it quickly here. Here's our best bid and offer here. Here's our depth on the offer and our depth on the bid down here. Okay. These are traders providing liquidity with limit orders at these price levels. That's where they want to deal. Okay. And they're always changing. They're adding and pulling liquidity. And that's it's great to see it's important data for making insightful trading decisions at that very moment in the current market. Okay. But now you don't know the problem here is that you don't know where that where they were previously. What about the areas around them? How how is this auction really unfolding? And well book map will solve that with the heat map. Okay. Actually let's go to the current market here. Nice breakout. And a lot of volume on the breakout. We're going to cover this in just a minute here. This is initiated buying. And we have a strategy that we cover in the book map education all about going over initiated buying as well. Okay. So note the huge volume just in the in the sub chart here but look at the you know these huge volume dots and look at the color of those dots. Okay. So we understand what type of volume it is. Okay. So if we look at the current market here let's look at this auction. Okay. And here's my auction. I can see what's going on here. Now you can see how quickly these numbers are changing. And we can also see because I have a current order book as bars that gives me the graphical representation of the liquidity. So I know right here at forty seven sixty is the highest in the book right now. I'm sorry. No forty seven eighty is the highest. Right. But on the on the bid is it's down here. Okay. At sixty. All right. So and that's good. That's good data. But we don't know. You'd have to keep an eye on that area remember it record in your in your head how much was there. And did they add the poll etc. Now with book map that is all recorded in a heat map. Okay. So in this current window here this is our best bid and offer currently. And our last traded volume is this number here. Right. And that's to the right of this white line here. Right. Okay. So and we give a graphical representation in the heat map to that high liquidity. So you can see very quickly high liquidity here. Okay. Now you can adjust for it with the contrast configuration button here. And we can look at every single you know granular level if if you like it's up to you. Okay. But now we have a lot more detail here. Okay. But we want to target some of that high liquidity.  Okay. So now this this data here that problem in the dome where it's fleeting and you won't have to remember it any longer because it's recorded. Okay. As this heat map is generated it is transposed onto the chart historically. So now we understand what this auction looks like. Now we can start to extrapolate and unfold the meaning behind this liquidity here in this auction. And as I zoom out it's all recorded here. So now I can see it all. In fact let me turn on extended heat map. Okay. There we go. We're seeing all sorts of stuff here and lots of stuff to cover here in oil. But these were areas of high liquidity up here previously. Okay. And they just charge right through it. And that's our figure here. That's what we were looking at that 4750. When we hit the candle sticks up. All right. Okay. And we can see it just charge right up and through that area very quickly. And we're going to see a flip of the book here and some algorithmic activity pulling price or you know that shorter term high liquidity skews that book and then it's pushing it into higher liquidity further up above. Okay. All right. So anyway. Yeah. Nice sweep of the book here. No question. But and that's how you usually get to new trading levels is by they just take all the liquidity. Right. Okay. So now this heat map. And I know this looks like a lot of data here. But what we're looking at here is a very, very clear and objective view of how this market unfolded. Okay. It's just this heat map is just showing the auction where the historical dome. Okay. Where they were bidding and offering. And now we can understand their behavior. These striations that we see here is the adding and pulling of liquidity. Okay. You'll see it. The heat map will change in the current market window. And then that change is recorded. So when they when you see it like flash like this area up here, that'll come in as a striation in the in the heat map as you can see right in these areas here. Okay. All right. So now we can start to gauge the intent of traders at these levels and start to understand if they mean business, if they want to trade at these levels or not. Right. All sorts of information here is now at our fingertips. Okay. So that candlestick chart is really lacking quite a bit of information. And now we can see it pretty, pretty clearly here. In fact, let's just let's just take the candlestick right off the chart. Okay. All right. Okay. Well, let's cover this this breakout here because it's a it's a nice very solid breakout. And this is initiated buying and someone decided that maybe there were some news. I don't know. But at this moment right here, let's just zoom in here and check it out. Okay. They just, you know, we just see massive, massive buying come into the market. Okay. High liquidity here. We can use this rollover tip tool tip here and we see there was very high liquidity here for oil. Okay.  And then we see, you know, that liquidity here. Look, look how we know that they stayed in the book and that 163 contracts. Let's zoom in a little bit closer. 162 contracts of this 194 in the book actually traded. Okay. We know that it's fact. We can see the liquidity stayed here in the book. Okay. They these sellers got what they wanted. They wanted to sell and provide liquidity here at 47 or I'm sorry. Here. Okay. At 4740 the 194 here. Okay. And so far 88 have traded and I say scroll forward. Okay. Then we see what, what really unfolded here. Okay. Okay. All right. And so there, there it is. And we know that they meant business and they stayed in the book. Okay. A lot of times what we'll see is that liquidity pulls. Okay. So at the last moment, they don't want to be a seller up here. All right. And we see it happen all the time. And they're still, they're still buying or they're still, you know, waiting in the book and getting filled at some of these areas here. Okay. But the, when you'll see what I mean when they, when they pull, you know, they'll, they'll provide that high liquidity and then it'll trade up into that area and then they pull it before though. Right. Like potentially in some of these areas here, like high liquidity here, 356 and they start pulling it. Right. Okay. So when they start pulling like that, then what's going to occur is this is going to fly up to the next level with some aggressive buying. Okay. And that, that's exactly what happened. Only by a tick. And then we got a couple pullbacks here. All right. Okay. Okay. Well, let's see, any questions? Of what, what book map is showing and getting into to reading it and understanding it? Well, we can just quickly go over longer term liquidity. Okay. So longer term liquidity and the with, with the intent to trade, we just covered some of that is like this area here. Okay. And, and they stayed in the book. Okay. They wanted to be a seller here and they, they got it.  So they were met with buyer buyers here. Okay. The longer term liquidity up in these areas as well. Well, it's a combination of getting filled and pulling as well. Okay. And that allows, you know, the aggressor to trade through these areas even quicker. But anyway, the distinction here is longer term liquidity that stays in the book and wants to trade and acts like a magnet because that's where the market can trade. Okay. And the auction has already digested that information. Okay. Because it's been in the book for a long time. So we know that's where the sellers are. Okay. So when we get that, that very high liquidity like areas like this here. Okay. That's very short term and usually very aggressive. Okay. This is actually a few ticks away. But you know, I'm looking for maybe something even closer like, you know, one or two ticks away. This is a new information for the, for the market. Okay. All of a sudden we see more demand pop into the book that, you know, comes into the auction. And that's going to skew that auction. And now this new high liquidity that skews the book in the market digests. This initially repels the price because, you know, there's an imbalance here in the auction and the market has to digest that. And it usually digests that by reevaluating itself. Okay. Within the auction. And traders react to that. And where this becomes, you know, something to understand and integrate into your trading. And we're seeing all sorts of stuff in here. The key here is to make that distinction between that longer-term liquidity that stays in the book with the intent to trade because it's first in, first out. They're waiting in line and they won't give their place up in line to trade. That's a disadvantage. Okay. So this shorter term high liquidity that pops in and pops out of the book. It has, price has a reaction to it. But they don't really have the intent to trade because they pull the liquidity. They're here for a short period. They skew the auction and then it's gone. Okay. So for example, this short-term liquidity here is pressing price. Okay. It's skewing the auction and pressing price. And you see how that, you know, basically in the end here, we trade into this 55 area, which looks to me like it was the intent of this shorter-term high liquidity. Okay.  Right. And pressing price through now, of course, combine that with the aggressor and you have something very powerful. Okay. So if you still see continuation here with that initiated buying with that little push and skew in the auction, you get some pretty powerful moves. Okay. All right. So what do I mean by I saw a lot of different things in here? Well, just look how, you know, this is, you know, one tick away from the best bid and how they're adding and pulling liquidity here. We can match it on both sides as well. I mean, you can see that some of this adding and pulling here actually starts to relate on the other side here, on the bid side. And these have got to be some of the larger players. Okay. And their algorithmic activity that is skewing the auction. Okay. And look how we know, like in these little areas here and here, it has to be a very, very high probability. It's the same player because high liquidity is pulled from this area here at 4750 and then added one tick above. Okay. So, and you can see it. All right. Okay. So at the moment it's pulled, it's added one tick below. All right. So that's that algorithm. Anyway, you're going to start to notice all sorts of things within a book map. And you're going to start to understand the intent of these traders and what their, maybe some of their objectives are. Okay. So for example, this is another example here, a very, very aggressive example of a flip of a book. Okay. And this is, you know, kind of a little bit larger, larger view of that flip. But they were here at 4750 and below with very high liquidity. We see, you know, massive amount of buying to the upside here. And then we see them flip over here now to the bid. Okay. So from the offer down here to the bid here. Okay. Usually we'll see the flip, an aggressive flip will still, they'll be at 4750. You'll see the breakout. And then you'll see them flip from the offer to the bid at the same price level. That's still very aggressive. A lot of times you'll see it maybe just some ticks below and then they start to fill that area in with high liquidity. Right. But in this case, they're up even quite a bit further here. Okay. From 4750 to 4760. So 10 cents higher. Okay. All right. So that's, let's do our current analysis of what's going on. Okay. And this is the process that we used to go through in the webinars and we'll still go through it, you know, in future webinars. But I'm going to change it a little bit and kind of mix it into the educational course material. So we usually look at our higher time frames and then we look at our structure, microstructure. Okay. And then we want to very objectively look at the order flow. Okay. And this will be done very objectively. Right. And reading this. And that's going to allow us to pinpoint, you know, entries, exits and trade management. So showing up to the auction, this is the process. Okay. We want to understand the current configuration of the book, where are the majority of the players. And then we want to understand their behavior. Okay. When price approaches them. Okay. Do they add liquidity? Where is it added below or above? Where are they currently are? That gives us a lot of insight. Okay. Or are they pulling? And if they are, where are they pulling and adding it to? Okay. What about the other side? Okay. We want to understand that behavior as well. Okay. And then we want to read the tape. Okay. So let's let's do that process here. Okay. So very quickly and very easy to do current configuration of the book, 4760 majority of the buyers. And yeah, probably, you know, somewhere around this area here at 78, we see the majority of the sellers. Somewhere around in this area here. Okay. Just looking for areas of high liquidity. Okay. That would be the current state of the auction or the book. Okay. All right. And how do these areas behave when price approaches them? Well, we get that answer right here. You can see that high liquidity was here and we see a nice trading dot and we can zoom in and we can, we know exactly what really occurred here. Okay. Big flurry of activity. Some of it, some of it traded, some of it was pulled. But yeah, that's, that is our answer right there. Okay. So some of the other areas, you know, we'll see them start to pull. Okay. Our flip of the book, pretty aggressive, pretty, pretty aggressive. You know, we can see them here at 60. And then as price is coming down toward them, look at them bid up. This is really aggressive. They were at 60. Now they're at 61. Then up here to 63. And then what about those areas? Okay. They started to pull some of it, but they still stayed in the book here too. Okay. So a little combination of both, but this is, this is pretty aggressive. And same over here that we see a little more pulling. Okay. As price came down and finally tested into that area. Okay. So that's why we were making that distinction that, you know, we thought, well, that was another example that was back over here. That algorithm working back and forth, still trying to, it's probably doing this, probably the same algo working it back and forth here, trying to press price higher still. Okay. But anyway, yeah. So they have intent to trade here. Okay. That's established previously when price was here, they have intent to trade. Okay. So we can look at that and start to piece that into our, our auction right now. Okay. So we want to know. Do they have intent to trade if we come back to that area now? Okay. And we'll get our answer. All right. Now the final piece to, we've read the auction now. We've read the intent of the traders at some of these areas. It's, there's a lot more to learn there and a lot more to cover. And it depends on the context of the, the auction that gives us the insight to objectively read this order flow. Okay. Very, very aggressive. What if they stayed at 60, but they, instead of adding here, they were, you know, adding down below and maybe they started to pull some of that liquidity at 60 and added a couple ticks lower. Well, that would show more bearish behavior here. Okay. This is extremely bullish here. Right. And we can see how price reacted to it. Okay. What about the, the traded volume? What is, what is that telling us here, the transactions, where the transactions really took place? Okay. The time and sales. And basically we're looking at like a horizontal time and sales here in book map. And we can just read the, read the dots. And just like a footprint chart here, except this can be done graphically. Right. And as I zoom out, I just get an overall feel for it. Well, there's a lot of selling here. Okay. But we're still holding structure. They're still aggressive here in the auction. But there's been just a massive amount of buying up to this point. And then we start to see sellers start to get more interested in here. And let's just read this area here. Okay. Currently in the last maybe 10 minutes. Well, I'm, I'm seeing that lack of aggressive buying here. Okay. In these little areas, these little pockets. And this is that exhaustion that we're looking at. Okay. We were looking at earlier points of exhaustion. Okay. So we might get a switch here. And, you know, the, we see the, you know, a lot of transactions taking place at some of these points here in this trading range at least at the lows. Okay. Now that doesn't mean the, the initiated and the initiated, initiated, initiated buyers, they, they may step in right now. We will see. Right. But, you know, it's been very bullish so far. But, you know, there's, there's some selling in this area here. So we, we also could get a test into that 60 area that we were looking at. Okay. But it's again, if, if all of a sudden the, those initiated buyers jump in here, then this, this picture is going to change really quickly here. Okay. And let's read it. Okay. It's starting to happen here. But it's looking pretty meager. Right. I'm not seeing much. Right. We want to see big green dots. Okay. Above this range here. Okay. So the range that we're looking at here is this 73 area here. Okay. So what's unfolding? Look what just unfolded. Okay. There are some. Okay. Not much though. And then they started to jump on the other side here on the offer. So we're, we're, we're, we press down lower. The sellers have an opportunity here to, to hit the bid. Maybe we can get down below the swing here at, at what is this 66. And then maybe finally get our test of 60. Right. This is the, this is the moment for that. Okay. I think we're going to get a test at least to the other side here at 66. Okay. And we can also look at another thing, initiated buyers. They can still jump in here because we haven't traded below the POC of this range yet. Okay. So we need to be careful. Right. And that's at 70 here. We can see it. Right. We have a CVP, which is our chart range volume profile. And I can, I can see how much traded here. So 7,000 contracts within this viewable chart range. Okay. All right. Let me get to some of your questions here. And as we watch and read this here. Okay. So, yeah. So the breakout that we see. Well, I'm kind of covering this CVP question right now. Right. So, you know, we still, it's still kind of, you know, it's not determined yet. I mean, those, we need to see the, you know, the buyers show up here and they still can. Right. If once we get below the, and start trading below this little 70 area here, that's when I think we'll get that test down into 60, you know, 47, 60. But they're holding it here. The buyers are still holding it. Right. So they're still, they're still remaining in control here. And if they want to lift the offer and maybe get to the figure up here, get up to 48, well, this is their opportunity now. You know, they need the, if they have the buying pressure. Okay. If not, the sellers are going to push it below 70 here. Okay. And we're going to see some, some volume dots on the sell side happen here. And we're going to see them flip from, you know, maybe they'll pull some of this liquidity here and they'll be starting to add liquidity, high liquidity on the other side of the auction here. Okay. On the offer, aggressive. Right. And press price down into some of these areas here. Okay. So a few different scenarios. And we're watching them waiting right now. And the key area is this 4770. Okay. All right. Let's see, William, do you have a filter of volume size? I usually don't. I usually keep it on the default. But what William is talking about is, you know, you can in book map filter your volume dots to fit your trading style. So you can click on studies configuration here and then click on the volume dots. And that is here. Okay. And the dot size of course, the transparency of it. There's also some dots clustering here that you can, you can change by a smart algo by time and by volume or the filtering that William is talking about here is minimum accountable dot size and minimum accountable trade size. I'll start with minimum accountable trade size. If I input here 100, okay. Probably nothing's going to show. And nothing does. Okay. Because this is oil. If I input 20. Okay. We see some dots. Okay. Not much. We see these little dots here. They represent one order. Okay. One trade for a volume of 20. Okay. And that's the trade size here. That's how you can filter for the trade size. So if you're looking for, you know, your more larger block orders going through the time and sales, this is how you can filter for it. Okay. I usually keep it at one. And then if I do any filtering, I usually do it here with the minimum accountable dot volume. Okay. And what does that mean? Well, let me let's first input filter and we'll input 20. Okay. And I have a lot more dots show ups than than before. Okay. So what this means is so, you know, basically you're just trying to filter it out to lessen out some of the noise. So you have the overall feel of what these dots are showing you. Okay. And here's that little fight for that POC. So 47. 70. Right. That's what we're looking at. Okay. And we needed, we still need to see more aggressive selling here. Okay. But this is what pushed it out of that little area right here. Okay. That selling. Not too much from the limit order book to be honest, a little pressing here. Some pressing here. Clearly. Right. Okay. So anyway, the, as I showed you earlier, when I zoom in to, in, into these areas here, I'm showing you every single event that took place. Okay. Now, when I have the filter on, what, what exactly is this showing me? So it's because I start zooming in here. Now, I know there's trays that took place here, but they're not, they're not in the view. The reason being is that the dot minimum dot size filter here, as I zoom out, it's not until within one vertical pixel slice of my screen that shows where a volume of 20 contracts traded. Will I get a dot? Okay. And that's, that's how it works. Okay. So as I continue to zoom out, it's just visually aggregated. So let's say, if I put in 50, you're going to see a lot of these smaller areas here. That condition won't be true. This dot right here won't be 20 or less. Right. It'll be looking for 50. Okay. These will show up, I imagine. So let's do that. Okay. These show up, but some of the other ones don't. Let's put in 150. Okay. All right. So now everything is gone except for these two and some of these over here. So within these areas, I know that at least 150 trades must have traded. Okay. A volume of 150 must have traded here. Okay. And I can, I can verify that with my rollover tool and I can hover over the dot. And I can see this, this dot is for a volume of 274. And this one here is for 299. Okay. So that's how that works. And I usually just keep it at the default here. Okay. Okay. Let's see. No, we covered, you know, we covered icebergs so it might be better to, if you guys are interested in the icebergs, maybe watch some of yesterday's. Okay. William, I hope that answers your question on the volume dots. Now the smart clustering thing is something different. It filters the volume as well, but it still displays every single trade event. Okay. Okay. Yeah. No, I'll go over that Apple tweet in just a minute here and we'll wrap up on that one. Okay. Michael, when I mean flip of the book, well, just that it's really a flip. Usually, usually it's, you know, most likely the same large players flip from one side to the other. And it could be a trap a lot of times, but it's putting a cap on the other side and now it's going to establish that trading range as, wow, okay, well, you know, this was where the responsive sellers were. Now they're responsive buying right on the other side. Okay. No, initiated buying can happen inside the value area. Absolutely. That's what pulls it out of the value area. It's exactly what pulls it out. Svetlana, okay, you want to take a look at the, Mirza. Well, welcome Mirza. The red number signify in the COB column. Yeah, this is the iceberg detector. Let me turn on the iceberg detector also for our indicators here. Okay. So this was the old way we used to display them. So we still do. It's 59 contracts more volume traded here than what was in the limit order book at that time. Okay. But the iceberg detectors now much more improved and enhanced and you can see it here with the number. And these are, the red numbers are, it's more aggressive volume that traded here on the offer than what was in the book at that time. And then it's red because the icebergs here, you know, they're going on the short side. And then green down here, they're absorbing, but these guys here, they're going to be, you know, with their hidden orders, they're going to be looking for, you know, moved to the upside. Okay. That answers that question. We can take a look at quick, we're running out of time here. A quick look at the ES and let's see, you wanted to look at specific time, low of the day, not much exhaustion. Well, no, I mean, this is more like a V-bottom here. This is something very different. And this is like a flush through into an area. And usually, yeah, you can see that it's usually a lot of absorption down into these areas here. And, you know, that's kind of what we're seeing. I mean, look at all the liquidity here. Look at that nice, you know, order book and balance right here. Very aggressive, very, very aggressive. So this is actually a pretty nice example, because look at 202 contracts, 9 and 100 here. You know, we have a lot of icebergs going off. We have, this is a pretty significant area here. Look at the order book skew trying to press price lower into some of these larger contracts down here at 72. And then we see the initiated buying. And then look at them getting very aggressive here on the other side. So these guys were aggressive on the offer. Now they're getting aggressive on the bid. Pressing price up into where? Where is it going to go? High liquidity. Looking for high liquidity. And then look at them build out this area here. Very, very, very bullish. These are, yeah, this is really significant liquidity.  Just by looking at the way their algos are behaving here. Okay, so that's the ES. So let me run it out of time. I want to get to all your questions. And we will end on that Apple example. Even if the volume dots are filtered, well, they're filtered, but it's all still in there. The volume bars in the column, in the column, they're absolutely aggregated. Yeah, no question there. Yeah. Yeah. And it depends. You know, if it's a SVP, that's for the entire session, aggregated at that price level. Yes. Okay. So you're talking about these volume columns over here. Okay. On my SVP here, my chart range volume profile, let me not split out the data here. Okay. So for the chart range, I have it on reset as well. Okay. I do not want that. There we go. Okay. So the chart range volume profile is going to give it for just this chart range. Okay. As I zoom out, you can see it's reflected the volume activity in this chart range. Okay. All right. Any other questions? How does this work on NQ? It works great on NQ. And yeah. I mean, here we go. You know. In fact, okay. So let's jump in and take a look at Apple here. And look at this return. This is where we broke from here. Okay.  We turn right back to where we broke from, and we see them provide high liquidity here. Okay. They were here earlier. Okay. And they were also here at this little point here and here. Okay. But right back down here is where we see the change again and they're still buyers. Okay. And we come back up and test the high. I don't understand your question. What is the HTE clue or HFT? I don't know what you mean. Okay. Yeah. Beautiful on the NASDAQ. Okay. All right. Good. All right. So I covered it for you. Okay. Okay. Good. Well, technically going over initiated buying, usually, well, it depends, but, you know, what range, what timeframe, I mean, is it the higher timeframe? If you look at a higher timeframe, well, on a lower timeframe, you know, that initiated buying would be in a different range. If we look at oil here, okay, let's go over the oil example. You know, the initiated buying happened at the top of the range here, right? And that's what you're talking about, Francisco. And yeah, then, you know, that is correct, right? But, you know, a lot of times you'll see it, you know, you'll see a small range within a range. And then you'll see that initiated buying, you know, it's what climbs out of that larger range area. All right. Okay. Okay. All right. Let's end on the tweet from our Twitter account here. I haven't taken a look at this. So let's take a quick look. Okay. And what's your question here? Oh, there's many ways to look for that initiated buying. Using the chart range volume profile and splitting the data out is one of them. Or you can just look for the large dots and the color of those dots. And that immediately tells you. Okay. Let's see. Collisions. Well, collision means that this is a term that futures trader 71 uses. And it's just high liquidity. That collides with the aggressor buyer or seller. Okay. And, you know, they've met, right? And that area is filled. That's what that means. Okay. All right, guys. Any more questions? No, not a retest. Just a transaction. Okay. Okay. All right, guys. Well, if there's no more, no more questions and let's wrap it up. And let's see here, give that 14 day trial period a shot. See if you like it. And then come to these webinars and ask questions. I'm happy to go through these. A lot of these features for you in the live market. And show it to everybody as well. Because there are so many things here to go over in book map. For example, Francisco is talking about initiated buying. A lot of traders really like this. So they like to look at their CVP column. And they split the data out. Okay. So note, note the difference here. Okay. So I can have it as a profile here. Okay. With bars and numbers. I can show bars only. I can show numbers only, whatever. And I can split this out. Okay. So if I split it out, because we have the Gresser classification, I can see buyers and sellers. Right. And now for that initiated buying, you're looking for this kind of activity here. Let's go over that. We'll just kind of scroll back. Okay. So here we are moving along and let's just zoom in a little bit. Okay. And then all of a sudden. Okay. We start to note. Okay. As price is coming up here. Note how like, I mean, this is kind of equal at the moment. Okay. Well, here we start to see the dots. Okay. And now you can look directly at the data here. Okay. And you want to look at bid versus offer. Where those transactions are taking place. And you start to see more transactions taking place here. You know, with the, with aggressive buying. Okay. And look at the, look at that skew now. Okay. And that's giving you that clue. Well, this is initiated buying pulling it out of this micro range right here. Okay. So a lot of traders like to look at that specifically right in the order book. We've got it. You can look at the data for volume. You can look at also the trade counter. So this, these are the number of events that took place. Okay. Or I can also look, look at the number of quotes refreshed at that area. Okay. Why would you want to look at that? Right. Well, it's because there's activity. And they're, we're looking for areas and flurries of activity. And I think of it like pit noise. Okay. And where there's interest in trading. And that, that's what we want to note. Okay. And the quotes counter can do a real nice job of that as well as showing quotes stuffing. Okay. All right guys. Well, thanks for coming. And let's wrap it up. We'll call it a day and we will catch up with you tomorrow. All right. Yeah. Thanks guys.


I'll start, I'll start, I'll start, I'll start. Okay, today I'm, this one is I took, my map I took when I, Craig Rauman did the keynote. So he talked about scaling background and how may, sorry, and meaning of customer collaboration, so competitive game to, collaborative game and more, more, less, less, using those pictures and large-scale framework like this. So my mapping is just a note-taking technique, it's a radically growing picture, to keep one, keep your ideas in one big shape. Okay? What was my joke? I won't tell you right now, but I didn't think it was a good joke though. Yeah. And I'll, I'll show you when, oh, others, like this one. This one is the, I wrote about the design pattern. In order to remember those patterns, we use shapes, colors and things like that, so that your right-hand brain works well with the left-hand one and others. Okay? This is a plan of a project Christmas. I don't know if you have Christmas in this country. Okay, sorry. Let's say we have five branches, like when, what, why, who, where, result. This framework is called 5W1R. Do you know that framework? 5W1R? Yes, 1R, yeah. This framework is, I took from Busan's book, Tony Busan's book called Mind Mapping for Kids. It's interesting because result is very business-oriented framework, but not hell, but result. It's very funny. When, what, we are gonna do retrospective, we are gonna do keep, problem, try, retrospective, and after that we'll do the party, and why we're gonna do that, and who is attending the party, where to do that, and the result we expect is customer satisfaction, buildability, and those things like that. So keeping things in one picture and using shapes.  Left-hand is very good at logics and orders.  And left-hand orders it to make a logic. So using ManMap, you can work, you'll work with your brains well. So I'm gonna show you one example of how you use ManMap. City library, meeting minutes. I wanna do this, okay? What I usually use MyMap when we use, when I use this in meeting, we take memo notes using this projector with the team, and this is the MyMap thing for my meeting notes. So it has time and place and attendees and conclusions part is not filled yet. To do is not filled yet, and agenda's going to be here. So when you start the meeting, you can add items while you speak and collecting ideas and discussion like this. So that everybody can be on the same page. And you can sometimes do add icons here. When you like topic 17, you add this icon, or at 16, you can add this cloud. Or if you have some items, 17 is very similar to topic seven, you can add those links and something like that. Because this is a tree structure, as you see, you can, sorry, you can drag and drop, I just copy that tree and I paste it into Excel. Why do you think it happened? It's like this. So when you see this, it's a tree structure because so you can have the center and time and place, attend the conclusion to do an agenda as a memo. So this can work as a instant note for the meeting. I will show you another example. This is a, sorry, some part is in Japanese, but this is a elitist or software qualities in six categories and other subcategories. It looks like a tree, right? So if you copy this, and I'll go into another mind map and I will say software quality. And I'll paste this, the qualities into this one. Where's the paste, edit, paste? Do you know what happens? It's like this. It's very natural way of treating trees. In mind mapping, you can move around those trees. If you think the security thing is not a functionality and it should be maintainability, you can just drag and drop this branch into here, which you cannot do in Excel. The tree structure, so it's like, works for me as a whiteboard. You can drag and drop your concepts and making groups and things like that. Okay, one last demo I would do if I have time. Who's next? Okay, okay, just one demo. What I'm going to do is to keep using, in agile project, writing UML is not very often. So what I'm gonna do is writing a mind map and you can drag and drop into use cases or classes or other concept diagrams. Okay, I will do this in this Christmas project but I'm not sure. Okay, so you can use a, I will use this use case diagram. You can drag and drop anything, actually anything from, okay, I can drag and drop who into, sorry, this is a class diagram. I will make an use case diagram. So that I can drag and drop this development team here as a actor like this and retrospective. This one here drag and drop as use case and then make a use case diagram. And those things here development team members is has a link to backwards link to this mind mapping so that you can trace your ideas between classes or UML diagrams and mind mapping. Oh, I'm running out of time so that's it. Thank you very much. If you are interested in my tool, please contact me or pass me your business cards or something, anything's okay. Thank you very much. A deployment pipeline is because that's what Go, our agile release management tool from ThoughtWorks Studios helps you with. Okay, so I'm sure in every project there are set of developers who are checking in code. What you desire is that all this code should be continuously integrated, run your unit tests, acceptance tests, at the end of it give you packages which you can easily deploy. So Go is a tool which helps you with that. So that essentially helps you orchestrate a deployment pipeline. What a deployment pipeline is essentially this diagram. This quickly tells you that. So there's a commit stage where you can compile your code, run unit tests, create your installers, then acceptance test stage which runs your user acceptance tests, functional tests. Now as soon as this is passed, you want to test out your product, right? So you can simultaneously deploy to two environments, one for UAT, one for performance testing, do all your testing there. And once you are completely confident that this is passing, you can deploy it on to production. So this is your basic deployment pipeline. So in this case, what happens is it increases confidence in your production readiness. So as soon as my these two stages are green, I'm confident that I can deploy to production. And it also gives continuous feedback, right? So at this point if something fails, I can immediately fix it here, run my pipeline again and so on. So it's very fast feedback for everybody on the team, not only developers, your testers, managers, ops people, everybody immediately can see what is going on in my whole life cycle. So that's what Go helps you do. Yeah, like I said, fast automated feedback on production readiness of your applications. Whether you change your code or whether you change your configuration or infrastructure, anything changes in your whole system, it will immediately show you what's going on. So I think I might have less time for demo, all right. So yeah, so reliable releases, you can make this whole process repeatable. I can click a button for any version of code and it will give me my installers immediately and be able to deploy immediately to production. Also operation gets tools to enable reliable frequent releases. Yeah, that's essentially the same. It simplifies release management to a very high level because you have total visibility to the status of the application. At any point of time, I know exactly what version of a project is deployed onto, say, QA environment or messaging environment or production environment. I have complete control over the system because you can either make it automated or manual as you require. And end-to-end traceability, if something breaks, I know what check-in actually broke this test, who checked in, at what time, and so on. So especially for distributed teams, this is really useful. And a faster feedback for deployment. So I'll just take you through the demo now. So I won't be actually, all right. So I need to change the, yeah, so this is a typical dashboard on Go. So you can see that you have different pipelines. This is essentially called a pipeline, a management build. It has three different stages. So there's a compile stage, a unit test stage, and a packet stage. So we know that all the three have gone green. You can click on changes. You can see, git is the version control being used. A guy called Pawan checked in. This was the command and this is the git shove and the check-in was made and so on. Gives you all the details. Now whenever a new check-in goes into this version control, immediately this pipeline is going to get triggered. If I have time, I can show you how that happens. The pipeline will get triggered. All the stages will run and immediately you have packages at the end of the pipeline. If something fails, it will become red. This stage would be red instead of green. So if I click here, oh man, okay. I need to change the resolution, doesn't go right. Oh, okay. So when I clicked on a stage, I go to the stages history. On the right-hand side, I can see all the different runs of the stage. That'll show you when it had failed, when it had passed. You can see the status of every job. You can, so every stage has a set of jobs which can run parallely. So as an example, suppose I have a package stage. In this stage, I want to parallely create installers for Linux, as well as Windows, as well as macOS and so on. So I can have three separate jobs which will parallely create the packages for you. So jobs help you do that parallely. And essentially, yeah, once you're playing around with this, you can see a lot of information which this tab gives you. It gives you what are the check-ins which were made. It also shows you what are the tests which had failed. So I can go to another setup of mine and show you. So for example, this unit test stage, it had failed a particular time. When I go on to that stage and go to the tests, I can see that the total number of failures was one, errors was one, and a test called A and B is what failed. One had an error, one had a failure. And this actually shows you a failed build history. That is, if the same test had run and failed a few stages before this, it will actually show you the history round there. It failed in, say, version five. It also failed in version three. So it will actually show you the history, and who had checked in when the failures had happened, and what are the check-in and so on. Now here you will notice that everywhere, this complete visibility to anybody who like, if I go to the dashboard, anybody seeing this is going to come to know that when this particular version had gone in, there was a green pipeline, all the tests had passed. It's good to go to production, right? Now you can also create dependencies here. So suppose I go to, I can, yeah. So here you will see, right? So this management build pipeline, there's also an integration pipeline which depends on this build pipeline. So when this went green, this had, the next pipeline had run and had gone green. So this bookstore integration pipeline depends on the management build pipeline. You also have a feature called trigger with options. This is, if I click on this, it shows you a list of all the previous check-in which had gone in. So you don't always necessarily have to build only with your latest version. We have the flexibility to build with any previous version. So if suddenly, if suppose you have deployed your latest version to production, and you need to roll back, you can go and select any previous version and trigger your pipeline again. It will roll it back to the previous version. You can select whichever one I want here and trigger the pipeline. I can also, this is a very unique feature in Go is, I can compare the changes which were made in two different runs of my pipeline. So if I click on compare here, right? So I can see that between version five and version six, this was a new check-in which had gone in. So suppose I deployed my product to production, say a week earlier, and I deploy again today, I can see the differences between today and the week before, and see that exactly these three features is what has gone into production. This is very easier for managers, et cetera, to track. So this feature helps a lot, not only the developers, but everybody on your team. I think that's the salient features of Go. If you need more information around this, you can come to our booth. We are giving away trial versions of the product. And you can install it, play around with it, and see how it helps you achieve CD. Along with this I would also like to show you. Yeah, so basically a lot of customers are using Go for continuous delivery. So I just wanted to quote a few customers who have recently spoken about Go in conferences and also blogged about it. So the CTO of amazon.com recently mentioned that a customer is using Go over AWS and how they are achieving continuous delivery. Ancestry.com is also another product, sorry, customer of ours who actually uses Go with Chef and with Windows. So like you might think that maybe Go cannot be used with Chef or Puppet, but it can very easily be used with that. And he says that yeah, you just have to click the magic play button and any version gets deployed. And yeah, couple of more talks around continuous delivery by customers who use Go. You'll also find blogs about people using the product on the internet. So yeah, they basically help you, oh okay, I'm sorry. All right, so yeah, so I hope you will use the product for continuous delivery in your projects and yeah, come to us for any more information. Thank you.


In this presentation, we will calculate the federal income tax withholding or FIT withholdings. We are here in the payroll register. We're currently calculated up through total earnings, that being the addition of regular pay and overtime pay. Support accounting instruction by clicking the link below, giving you a free month membership to all of the content on our website broken out by category further broken out by course. Each course then organized in a logical, reasonable fashion, making it much more easy to find what you need than can be done on a YouTube page. We also include added resources such as Excel practice problems, PDF files and more like QuickBooks backup files when applicable. So once again, click the link below for a free month membership to our website and all the content on it. And as total earnings, now we're going to go through and calculate the FIT wages. The FIT wages will differ from total earnings, total earnings, including everything, whereas FIT is going to be reduced by some things that would be not includeable in gross pay for our 1040 reporting at the end of the year. Those would be the above the line deductions on our 1040, which would include a cafeteria plan if it was a section 125 plan and the retirement plan. So that's how these two numbers could differ. Note that this is really our full compensation. What we're doing now is trying to reduce it by those things that will reduce our taxable gross income or adjusted gross income. So we're going to do that. First we got to get our FIT and we're going to subtract out the cafeteria plan and retirement plan. I'm just going to give us a number for what the retirement plan deductions will be. These are going to be amounts that are taken out of the employees total earnings in order to arrive at the net check. Typically these are going to be voluntary plans. They're going to be things that aren't required to be pulled out such as FIT, for example, but voluntary things that the employer can offer and the employee can accept to participate in. And if they do it will reduce FIT wages and therefore FIT withholdings and federal income taxes in general. So we're going to say that the cafeteria plan is 250 and we're going to say that the retirement plan is 35. These of course will vary from plan to plan from company to company and employee option to employee option. So then we're going to go to our federal income tax wages and we're going to say that this equals our total wages minus those two items that will be reduced from gross pay for the calculation of federal income taxes. So we'll subtract those out. So here's going to be our FIT page, federal income tax wage. Now we're going to take that and we're going to go to our tables, the good old circular E. This is the circular E. We're looking up that $471.50 in the circular E. Now first we need to find the right place here. So I'm going to scroll down to payroll wages or payroll withholdings in 21 and then I'm just going to keep scrolling down until we find our tables that we're looking for. So here's the percentage tables and we're looking for these tables down here. And we're weekly payees so we're looking for weekly and then we need to know the number of exemptions. So if we go back to our employee, we're saying single one exemption. So single one exemption. So we've got our table here. We have the single bracket for weekly one exemption. Then we're going to look through which bracket we're in here from 0 to 75 or 75, 75 to 80, 80 to 85 and so on and so forth. We're looking for $471. So if we scroll down, looking for 471. So here's 470 to 480. Now this is the zero column. We're looking for one allowance. So I believe it's this 35 we're looking for, this 35 because that's in the one column and it's in between this range. So we'll go back to our Excel sheet then we're going to say 35 is here and that'll be the withholding.


I want to welcome you to the 9.30 AM to 10 AM session of the 2016 Open Simulator Community Conference. This session is entitled Google Maps and the Panoramas in Immersive VR Environments, which takes a look at how mixing 3D content with real-world geo-located visual cues enhances the knowledge a person acquires during a virtual training. Before I introduce our speaker, I want to remind you that you can get our in-world, for our in-world and our web audience, you can view the full conference schedule at conference.opensimulator.org, tweet your questions or comments to atopensimcc with the hashtag of hashtag OSCC16. So, up next, our speaker is Ramesh Ramul, who is the lead designer of Resmala, a rapid virtual world building company for diverse training applications. He has more than a decade of experience in human-computer interfaces in VR application research and development. Also, Ramesh is the CEO and CTO of Deep Semaphore LLC, a simulations and e-learning company. Ramesh, I want to welcome you to OSCC16 and I pass our virtual mic to you. Thank you. Very happy to be here. I hope everyone had a good lunch. At least I had one just now. I wanted to share my latest, our latest experiments with Google Maps and Google Street Maps and explain the motivation behind it. Let's have a look. Let me go to the next slide. There's something that I was thinking about in terms of applications and content generation in virtual environments. What I found is that and try to basically create sky boxes. I'm sure you're very familiar with sky boxes, with textures inside the faces, and it just gives you a sense of the panorama. Everybody knows about that. Let's start doing wise. Just to use this term, maybe our augmented virtual realities, how we try to augment virtual world content with direct real world imagery data. Basically, what we are trying to do is instead of finding the textures and then manually adding them, at this point in my talk, I have to introduce the Resmila system. I will do it a little bit quickly so that you get a sense of how the Google Street Maps actually works with with the Resmila system, which is basically, it's an application that provides three functionalities. It allows you to create large-scale virtual scenes and it allows you to control what happens in that environment all from a control room kind of setting. You can also monitor what's happening in the virtual environment on the board. That's the third leg of the whole application. It's got three main functionalities. Basically, you have the board and people sit around it. If you go to my booth later on, there is a landmark that would send you out to one region that actually has the system out. If anyone wants to experiment and try things out, so John and I, what we did is we spent a lot of time trying to build a system that would allow a subject matter expert to create a training environment just by selecting objects from a library and placing it on the board. You generate the large-scale environment just outside of the control room, basically. These objects can have different types. You have static objects that are like trees and buildings and things like that. You have scripted objects that can also be part of the library. All these whole range of objects are accessible through a visual database. You just get to browse the database inside the control room and pick the objects that you need and place on the board. We use this mainly for the one defining feature of our application is that it allows you to generate content collaboratively with all the students inside the classroom. As I mentioned, there are different types of objects in the library. You can have static objects, just like an object that you can pick from that set of objects in the library. You can place it anywhere on the board. I should mention that we have another object which is called a Google Street map object. It's not a cube object. It's different. It just allows you to place a Google map on the board, and that map would be magnified and placed on the region. That's where the whole exercise is going to take place. On that region, you can place your buildings etc. We have a hybrid setting where you have objects.  You type in a dialog box. The system allows you to do that. It automatically finds the right images to display ranging from the maps, Google maps or even the street views and textures the cube so that when you place the cube and even move it along anyone on the map, the pictures get updated. The one thing with our approach is one of the limitations we had is that, of course, we are using Moab to display those Google Street View maps. We were limited by the number of Moab surfaces that can be displayed at one point at a given time. Right now, it's around the more we can push it, at least with our machines that are able to render them. In our experiment, maybe you'll get away with eight or nine concurrent Moab displaying these street views or the map concurrently. So that's one of the limitations. Let me see if I missed anything here. All right, so let's moving on to the next slide. So as I said, when you have the Google Street View cube, which is at a given location that you have placed there, you can actually have people moving together into that space and interact with each other and collaborate and talk about real-world situations. The way we designed the whole system is there are many different aspects to it. So this cube also in itself provides a lot of functionalities, because it is what we call a malleable link set in itself. So if you see the cones that are placed on this picture, we could also raise different types of objects and people can play around with objects within the cube itself. So we can have collaborative activities beyond just speaking about situations within that shared space. All right, so it's 12.46 here, so I'm going to move to the next slide. The other way you can use the Google Street View maps is that you can actually not have them be geolocated, because in the previous experiment, in the previous example, we showed how we could actually move the cube on the map, which is displayed over a whole region, and the cube gets updated. You can use any number of cubes, by the way, and the textures that get displayed are determined by their location on the map, but you can also have just a room, a cube that's in a specific position, and you have a search function.  There is a demo in the send box area. You can just go there and don't forget to sign in. There is a little computer on a platform, and you have to sign in first before you can start clicking on the bigger icon on screen and launch the blue dialog box. There are, I think, about 200 interesting places that you can look at and check things out. That's in a situation where you don't have the Resmila system, but you just want to use the Street View map object on its own independently, and it could be useful. The other thing that we have added, I mentioned my label link sets, but in the afternoon, in a few hours, I have another talk that will be talking about this, but in this cube, I'm just giving an example. We have the concept of interactive hotspots. When you click on a hotspot, that actually allows you to do a number of things. One is that you could actually click on a hotspot on an object, and that would go a URL to display on a specific screen to give additional or more detailed information about whatever you clicked. The other thing is you can also use hotspots on a map in this example. We are in the White House, and I have placed a map on the floor. What you do is you can just click on the floor and on those red dots, which are hotspots, and that's going to load the various appropriate Street View maps or panoramas rather than this case, and have them displayed all around. I've just run through these slides very quickly because I'm always trying to make sure that I'm on time. What I can speak about a little bit now is that there are challenges when you use Street View maps or panoramas from Google in the sense that just give me a second here. The format changes all the time very frequently, and that becomes difficult to actually try to keep up with what they are doing on their end. We just had one problem recently that I found was that the panoramas that people can create before 2015. If you go there and you take anywhere on the planet and create your 360 panorama and upload it on Google Maps, now the format has changed, and that's why the surround views that I am including in this example that you will find on the sandbox are from 2015. Those are the traditional things that you run into when you have to use, well, we can't do otherwise. There's an ecosystem and you have to really be in tune with what's happening. I think if more people use what we are offering, we can as a group try to participate a little bit on the Google forum and try to get them maybe streamline their services, their APIs a little bit more and stabilize it so that people like us can actually have better opportunities for developing applications that can be used in a more stable way. If you have any questions, please do ask. I tried to run through very quickly, and just because I didn't want to, and I said in the beginning, I want to thank everybody on my team and the kind of programming that we are doing is really, really, really pushing LSL right way over its limit, especially the Malable links and John Hopkins has done a really great job in trying to bypass a lot of the LSL limitations. I want to really thank everybody on my team for what we are able to do. To answer some of the questions, my interest is to make sure that we make everything that we are making as available as soon as possible. The only reason why we don't do it depends on the number of factors. One of them is that we want to make sure that things work properly in a very stable way before we push it out. The second thing is I just want to make sure that it's affordable and we can do it in a sustainable way because, yeah, thanks. This was a fantastic presentation. I think everybody here wants to run over and try this out. It looks amazing and I think that interaction, like you said, of the different things from the panoramas to the street views are going to be a lot of fun to try out. I can't wait to go to the White House and look in the cinema room. All right. I want to remind the audience that you can see what's coming up on the conference schedule at conference.opensimulator.org. The following this session, the next session will begin at 10 a.m. and it's entitled The Future of the Metaverse, Blueprints for the Evolution of Virtual Worlds. We're going to take a quick break to switch out our guests and our speakers and we will start presently in about six minutes. So thank you very much. All right. Thank you.


Although the number of train vehicle collisions nationwide dropped 3% last year, the number of fatalities and injuries rose. Railroad tracks and crossings can be dangerous, and now with a new down-easter service to Brunswick starting next month, there will be more trains going through Portland's neighborhoods every day. Volunteer Maurice Fortin talked with Tom about main operation lifesavers' campaign to teach drivers and pedestrians alike ways to stay safe. Maurice, thank you for joining us. You're welcome. You're with main operation lifesaver? Yes, I am. And this has to do a lot with the fact that the down-easter is going to be expanding its route, its railroad route from Portland to Brunswick as of November 1st.  Yes, we are. What are some of those? Some of the safety issues is primarily trying to get people to understand that these trains will be running, and they can run on any track in any direction at any time. And the other big thing we try to do is get people to understand that when they're walking on the tracks, which we see lots of folks doing, this is against the law, it's trespassing because the railroad tracks and the right-of-ways on both sides, about 30 feet at least, is all owned by the railway. You don't belong there unless you have permission from the railroad to be there. There have been many, many deaths because of this nationwide from trespassing, as well as injuries and deaths from being hit by a train. Particularly this down-easter, when it starts running through here, it'll reach speeds up to 70 miles an hour. And in the city, it won't be going that fast, but we have 12 railway crossings here in Portland alone, and plus all the other communities on the way into Brunswick all have areas. We've been trying to do a lot of education, both with community organizations in schools all the way to K-12 and driver-ed classes, trying to make them all understand that these trains will be coming three times a day, and we want them to be safe, so to be careful around the railroad crossings and not to walk on tracks. Are the rails and the crossings that this route will cover, are they currently being used by freight? Yes, they are. They have been, but will this greatly increase the frequency of, it's useful, people be surprised by how much? I think they will be, yes, because they've never, particularly from here to Brunswick, they've never seen passenger trains coming through, and they will be going very quickly. Much quicker than the freight trains. Much so, yes. Most freight trains will probably travel somewhere 40, 50 miles an hour. These trains will be doing 70 miles an hour. So even though people aren't supposed to be walking on the tracks, they've probably gotten into the habit of it because those tracks are so useful. But there are signs everywhere that says no trespassing. Those signs have to be observed because, again, it's for folks, people's own safety. What kinds of things do people do, you know, you have some statistics about how many deaths there have been and what causes those deaths? Again, just ignoring signals at crossings. We've seen many accidents where the gates come down. Some folks will try to drive around the gate to beat the train, and you just can't beat these trains because when a train is traveling, it's a 55 miles an hour that has been some studies done. It takes over a mile for a train to stop when it's going that speed. Trains will stop. They will not stop quickly. And, again, the same thing if you're walking. The engineer can blow his horn, but it's up to us to be out of the way of the train. So what some of the activities that the main operation lifesaver is doing to try to alert people? What we're trying to do is we do a lot of public safety programs. We do sessions with, again, with driver aid. That's the one I do a lot of. And it's like a 20-minute presentation just showing them some of the things that they need to be aware of as a driver when they come up to a railroad crossing. All railroad crossings have what is called an advanced warning sign, probably 100 feet before it. And it's a round yellow sign with a black ax and two R's on it. When you see that sign, what you need to do is slow down and be prepared to stop when you get to that intersection. And, again, driver aid we do. We do a lot of presentations in schools all the way from kindergarten up to grade 12 to make sure that all the children understand that this is a real hazard for them so they need to stay off the tracks. That sounds good. I grew up in New Jersey and one of my favorite places, because there's not a lot of parks, was the railroad tracks. Yes. I think that you're reaching the schools there. What are some of the statistics about that? In 2011, there were over 2,000 accidents of trains and vehicles. In that area, I believe there was 288 deaths and there was over 900 injuries. And the trespassing, those statistics, there were 388 deaths and 429 injuries from trespassing. Wow. So where can you people get more information? They can get more information from the website, it's www.oli.org and there's a lot of information they can download from that and free of charge. Great. Well, thank you very much for joining us. You're very welcome.


Alright, two five one set up. Whenever you're ready, go ahead and give me SMS and then I'll start with a bid test.


Hey, Bolo buddies. Thanks for watching. Okay, I have 23 bread and butter bolos coming your way These are items that I picked up at thrift stores or garage sales Items that I bought low and sold for decent margins. They're not my big money items These are bread and butter items and we're gonna get started here And I'm gonna tell you where I got it what I paid for it and what it sold for and this is just a short video There's only 23 so Get my screen share up here. The first item I sold is this Bratz styling head makeover star base MGA Entertainment and it's a Bratz head and you know, you can fix her hair and you know brush it and all of that good stuff This came from a garage sale and I bought a ton of Bratz stuff And I actually just recently got the other items listed But this one sold at auction for $29.99. I was hoping it was gonna go higher I probably would have gotten more if I would have done a buy it now our best offer, but I was happy with it I probably had a buck or two in it and the buyer paid shipping The next item is this 1996 pleasant company American girl cheerleader outfit. This is retired It's just the skirt and the bottom and the pom-poms and I sold this for $20 and 70 cents in the buyer paid shipping this Picked up and a lot of American girl stuff. So I probably had a buck or two in it Barbie Coleman camping set. I believe this came out of that toy mystery box I'm trying to remember Is that that I think Either that or it was another a garage sale find where I picked up a bunch of Barbie stuff But I sold this for $15 in the buyer paid shipping So I basically picked Coleman items and just made a small lot The next item I sold is this wish-nick ideal Troll vinyl carrying case This came in a bulk lot of toys that I picked up and I sold this for $19 plus shipping. I Sold this Fisher price phone this came from I Bought a lot of Fisher price items and it was for a fundraiser And I have a video on that if you want to see what else I got but I sold this for $15 plus shipping and This was another item that was in that lot and this is not something I would have picked up But I did decide that I was going to try to list as many items out of that purchase to try to make back The money that I spent on it. I think I spent $80 on the whole lot So this was another item that I sold and I sold one other item I think I've sold three items so far and this sold for $10 and 80 cents I think this might have went internationally and again I wouldn't have picked this up because the condition is not that great But I ended up selling it for $10 and 80 cents in the buyer paid shipping. So I'm really happy with that The next item is this Madame Alexander big bad wolf and it goes with The Madame Alexander doll and it's the wolf only and I picked this up at a garage sale I believe there's a buck and I sold it for $30 and the buyer paid shipping These American girl, these are the miniature dolls. They're only like this big These came from a garage sale I think I had like a buck in both of them and I sold those for $19 plus shipping American girl bitty baby ballerina nightgown now this does have a stain on the front and I disclosed it But I think the reason this went People kept emailing me wanting just this little globe. So even the accessories Can do really really well. So definitely be on the lookout for those I took a best offer of $19 and the buyer paid shipping The next item is this yo-yo made in Japan. I was hoping this was going to be like a big money bolo But it only went for ten dollars, but that's okay. I picked it up I believe that was from an estate sale and I got it for probably 50 cents or something like that Actually, you know what it might have been a garage sale Either way it was it was a dollar or less the next item is this vintage elf Christmas ornament and it's made in Japan It's putts and it's sitting on like a little pine cone and I took a best offer of $21 on this and the buyer paid shipping This came from a thrift store and a bunch of putts items that I picked up This American girl starry doll stand came an American girl Bulk buy that I got at a garage sale. I bought like all their American girl stuff So I probably had a couple bucks in it. I sold this for 31 dollars and 50 cents in the buyer paid shipping This press and see came from a thrift store. It was a dollar I believe it was half off. So I got it for about 50 cents It did end up having a crack on the back So I priced it kind of low and it sold for 13 dollars and 50 cents plus shipping The next item I picked up at a garage sale for a buck or two and I auctioned it it went for it only got one bid But it was a buck or two and I sold it for 34 dollars and 99 cents in the buyer paid shipping And you know the condition was not like Great it wasn't bad, but you know it had some fading stuff. So I was happy to get 34.99 out of it These gold toe men socks came from a thrift store I think I paid a dollar for them and they sold for 13 dollars and 50 cents and the buyer paid shipping and they sold pretty quick This little calico critters I believe came from a garage sale and it was like a dollar It was either a garage sale or a thrift store. I Remember correctly.  Isn't it cute? It's creative concepts plush and I Usually pay a dollar or less for my plush I think this came from a garage sale and it sold for 12 dollars plus shipping This boys bear I always do really well with the little boys bear. They're about that big and This guy came from a garage sale I he was like 50 cents and I sold him for 11 dollars plus shipping and he sold pretty fast This Barbie I picked up at a garage sale for two bucks And it's the happy birthday Barbie from 1993 and she only has part of her box And I took a best offer of $20 and the buyer paid shipping Flameless candles, these are lusite. I love them. I pick them up whenever I see them They're usually a quick sale and they go for decent money I took a best offer of $30 on these in the buyer paid shipping They did open a return because they said the flakes did not match the flakes and the ones they had at home but they never returned it so The sale ended up going through and eBay closed it out because they never returned the item So I did sell those for $30 plus shipping and I felt like I did close-ups to show the flakes but I guess and maybe it was a different color or I don't know something they vary they do vary The next item I picked up at a thrift store for a buck and this is like an angel tree topper It's got a porcelain head and it's got holds the little candles and I sold this for 18 dollars and the buyer paid shipping This Bob books lot I believe I had less than a dollar in this total lot and I sold this for 20 dollars Plus shipping and I picked it up at a thrift store This vintage doll Mary makeup blonde doll with her dress. I sold her for $11 plus Shipping and I picked her up at a garage sale for like a buck All right, you guys that was a short video be sure to like comment subscribe and share as always Thanks for watching be sure to go chow my other videos. I have category videos featured seller videos I have bread and butter videos big money Bolo videos. So go check them out. Thanks for watching. Have a great night


Good morning. This is Dean Neely. I'm the deputy chief pilot at the Armstrong Flight Research Center out in Southern California with NASA. This morning I'm led to talk to you a little bit about airborne science and particularly the ER2, the high altitude aircraft that we use, that's still the highest aircraft in the world. So we use that and several other aircraft take science instruments up through the Earth's atmosphere in different environments and be able to study the composition, the effects, the movement of the air in our atmosphere, cloud formations, aerosols, pollution, things like that, all the way down to looking at the topography of the Earth's surface and small changes in that surface based on either flooding, erosion, glacier movements, volcanoes, earthquake, fault lines, things like that. So we study everything inside the Earth's atmosphere from the very top at the edge, all the way down to the Earth's surface. And we use a variety of aircraft with different instruments strapped on them to do that. So today I'll talk to you for a few minutes about some of that. Here with the airborne science mission that we have, which is a little bit different than flight test and aircraft development, we use everything from the ER2, which operates at the top of the Earth's atmosphere. And we also fly Gulfstream G3s, a small business jet with synthetic aperture radar underneath that looks down at the Earth's surface and can look through clouds and everything. And then we also use a DC8, it's a large aircraft, a flying laboratory that we can fly at all altitudes, mostly with instruments that are sampling air high and low altitude. And then we also have another aircraft, which is a 747 special performance that has a big German telescope that sticks out the back. That one actually looks up and out of the Earth's atmosphere, out in other galaxies where we discover new bodies and things like that and star formations and see how they behave. And these are many, many light years away. So that's an exciting aircraft as well. Today, I'll focus on the ER2, our high altitude aircraft. It's a single-seater airplane based on the Air Force U2 built by Lockheed. So it's a small airplane, small cockpit, very long wings on it so that it can still produce lift way up high in the Earth's atmosphere. And it's got a very strong engine in it. No afterburner, but enough power on the ground where it's almost a one-to-one thrust-to-weight ratio. I mean, there's almost as much thrust as there is weight of the aircraft. So when we take off at sea level, it goes straight up. It's an amazing experience when you first take off. One of the challenges that we have since we fly so high, it flies above 70,000 feet. So we're about 13 miles above the Earth's atmosphere when we fly this aircraft. And because of that, there's not much air pressure up there. So to keep all the liquid in our body together, almost as if you're in outer space on the moon or something like that, we've got to wear a space suit. So this full pressure suit keeps everything together. And but it causes a few challenges in the cockpit as well. Normally, on a regular aircraft, we would fly with a headset and microphone like you'd see on an airliner or a general aviation aircraft. Some aircraft, we may have to wear a helmet and a mask like this one for with oxygen supplied to us for high performance, mostly. For flying the ER-2 in the lower atmosphere, we'll fly with this helmet in a normal flight suit like I'm wearing now. And that will give us protection in case we had to use the ejection seat if we were having a bad day out there. Normally, we're doing a science mission where we want to take the airplane and the set of science instruments way up high to look down through clouds and aerosol formations and the flow through the air and how those behave together. Then we're going to wear this full space suit here. In that case, we have a little more robust helmet like this one that goes along with the space suit. It's got oxygen leads that go through the back of the aircraft or the back of the helmet and plug into the aircraft. Some of the problems that we have with that is in the space suit, you can't hear anything, feel anything. You can't smell. It takes all of your senses away, so there's a real kind of a claustrophobic feeling you can get and that gets a little bit exciting at times and some people really wouldn't like it. So the few of us that fly this aircraft for NASA, we have to really enjoy being in that environment and it is very exciting and I've been doing it for years and really love it. When we put the space suit on, our gloves are very cumbersome. This one here is one of mine and you can see that wearing this, it's very difficult to feel anything. You don't have a real sense of touch for details, pushing small buttons, using the flight controls, things like that. Trying to write with a pencil or something like that is very challenging. Another issue that we've got that we have to get past is how do you eat food or drink water during a long mission? Because we can be up there for eight to ten hours, sitting still, strapped into an ejection seat with a parachute and not much room to move around. I'm a small person and with the space suit on my shoulders touch the sides of the canopy and so it's very cramped in there. So with all those hours wearing this suit, you're not going to be able to move your arms and legs very much and that can be a problem. To eat and drink, typically we'll use a water bottle like this that sits back behind the ejection seat with a modified straw that can go through the small bladder in the space helmet. I'll show you that real quick. That's this little port right here that allows us to put the straw in there and then that way we're able to get the straw into our mouth and take sips of water without compromising the suit. The other thing that we do, if you want something to eat, we have tube food that comes in this small tube. It looks like a tube of toothpaste and then we put an adapter, this hard straw on it and do the same thing. It goes through the same bladder and through that port, we're able to squeeze liquefied food.  So a few challenges that come with that. The exciting part is taking all these challenges together and being able to still fly, operate the aircraft in a challenging environment, way up high, where the air is very thin, makes it very rewarding as well. And that's why most of the NASA research pilots that fly this aircraft and the others really enjoy the challenge and the variety of what we do when we go to work each day. And that's something I wouldn't trade for anything and I feel very fortunate that I was able to participate with this kind of an operation and the great people that we work with every day in Airborne Science. So thanks for the time today and I hope this gave you a little bit of information and insight into what we do at the NASA Armstrong Flight Research Center in supporting Airborne Science.