Okay, well, welcome everybody to the ProTrader webinar series here today with Enrico Stucchi. I'm going to let him read his bio here to you guys to get the background since this webinar is in Italian. I could do a little bit of Italian, but probably won't give it justice here, so I'll let Enrico go through that. If you are interested in Bookmap, you can see bookmap.com here, our Twitter page, and you can reach out to us at support at bookmap.com for more information. And then I need to go through the risk disclaimer here as well, trading futures, equities, and digital currencies involves the central risk of loss and it's not suitable for all investors. Path performance is not necessarily indicative of future results. And then if you're interested in reaching out to Enrico, here is his email, his Facebook page, and then special bookmap offers that are through him, that you cannot get through the bookmap.com website. I will periodically place these into the chat and go to webinar if you are interested, so you can click on the links directly from there. You do not need to write these down and copy them. So I'll give the presentation to you screen and take it away. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Okay. Just a few introductory slides. The first is the disclaimer that Bruce has already read, which translates you to Italian in a more simple way. Trading can be lost, often, as this happens very often, since the most part of the retail trade for money are statistics that you know well, and they can also be lost to several. So, without the condition of the cause, there is great news, the health of the portfolio, who clicks it, does it at risk of danger, and I am not avoiding you doing it. Last thing, if anyone tells you that he is winning, it does not mean that it is true, or he will continue to do it, and it does not mean that he is copying his work, so that he does not harm you either. Okay, once this is done, let's say, formally, I will tell you right away what we will talk about tonight, because one thing that bothers you when I start watching a webinar, a video on YouTube, is not to understand if I will waste time watching them until the end, or if there will be something interesting. So, in order to be able to scream, I will tell you what we will talk about today. This is an introductory webinar on the functionality of a platform. So, I will show you how it works, what is the book map, and why I decided to use it, for which trading style it is suitable, for which it is not, because it is not a perfect platform, it is a platform that works for certain trading styles and for certain financial instruments, and in which things are different from other platforms, let's say conventional, those classic ones, like the chart in Candela, in Barre, or also those specific ones to analyze the volumes. What do we see in its platform? What does it have to do with it? We will see those prizes, but also some defects, and I will do it in a transparent way. We will also try to see something related to the market mechanism, that is, how the volume is exposed to the price and why. We can also analyze the data feed, the available brokers that can be met with this platform. Some settings, we will also see where to deepen the study of these topics, at this moment we have a little bit of interest in the society. And then we will also see eventual topics of the next webinar. This has always been a bit of interest in the society. Why this? Because today, unfortunately, I have to give you a little bit of the details of how the platform works, otherwise, I would like to show you what are its practical uses, but you do not understand what are the elements that are visualized on the platform, but it would also be very difficult to follow. So the most practical and operational part, unfortunately, we have to leave for other occasions. I hope there are some that are of interest to you. We will also see a promo on the price that some of you have, and in the end I will ask a question, a question of the answer, if there will be time. So, I tell you that there are some basic knowledge that I will soon give to be able to speak on the platform. So, I hope that everyone knows the difference between the limit orders and the market orders. And this seems to be a trivial thing, but in reality those who, for example, are used to working with the Forex and CFD, the concept of the limit order and the market order already on the Forex is quite random, because there are no real limit orders when you are filled with an order on the Forex and you are always on the other side. So in the sense that I want to buy and I am filled with the best ASC, and if I want to sell I will be filled with the best BIT. So not necessarily at the lowest level of the BIT ASC at that moment. Now, let's talk about the book, the vertical book in English is called The Dom, and how does a time and sales work? I also say that the stop and stop are not seen, I made it clear because in theory it should be a thing but maybe it is not for everyone. It would also be good to have a minimum of knowledge on what a delta what a profile is and a bit of the basis of the order flow analysis because this platform allows you to do analysis of the order flow. The first thing that I wanted to tell you is because I have spent a few months with this platform that I am finding very good. Someone of you who has the misfortune of knowing me as a systematic trader because I realized many years ago that if I don't have an advantage from my side, so I don't have an edge without arc from my side being able to earn or live trading is extremely difficult because the price is very casual, not totally casual it would not make sense to try to beat the market but casuality is certainly predominant in the price range or without being able to defy the theory of random walk theory this is an aspect that I have probably noticed. So I have always tried to find something that gave me the advantage of being able to beat the coin in the choice of going long or short on the operation and so I started to look at the prices which for example could be a trend of the Venardie goal a trend of the oil in Monday or the seasonality of the first materials so the natural gas that rises during the winter or during the summer and goes down in the first spring in autumn or the analysis of the conditions that is, the insurance companies verify the change of session so when you go to the European session, the American session you can see changes in direction due to the fact that the ball goes from another side so if, for example, the market went down a lot during the European or Asian session and but the most important aspect of all those that I have always tried to analyze is to look for a permanent nature of the financial instrument that is, financial instruments can have a nature stronger than others for example some instruments have a trend follower rather marked for example if we take the American Indians for example some instruments for example even in intraday or on a few days have a trend to react well to breakouts so they are bought on the force and sold on the weakness when they exceed the level of critical resistance for example these types can be oil gold or gasoline or they are all instruments that have a strong breakout tendency or there are those that tend to react well in the moments of breakout volatility there are those in which I work on acceleration so there is not the break of a level of support and resistance but it is advisable to enter when you see the acceleration of the price natural gas for example is a tool that responds very well to breakout volatility strategies instead of recording well has been done in revertings so they tend to return towards we call it a balance value when the price stands out a lot from this value often produced let's say that are more heavy as just 500, yes for example in revertings especially from low to high and its descends this does not always work these days it is obviously a little more complicated so this is the logic with which I have always approached the merchants so I wanted to find a method to better qualify the behavior for example of breakout volatility or inversions on financial instruments in intraday so I wanted to try to optimize my income knowing that these instruments have these particular characteristics so I approached a few months a few years the world of volumes and then finally in the best form that makes me see exactly what I wanted to see I tell you right away before starting to do a series in the meantime I will also show you what the platform is doing but I also tell you for which the trading style in this platform is considered more suitable and the one in which it is less suitable it is a perfect form because it does intraday, so of the traders who want to take advantage of the intraday movements and who want to possibly close but I can also be used I am for example part of this category also from the swing traders that is who wants to try to optimize the income and output of positions that instead they want to have a temporary horizon of like half a period from a few days to a few more above all it is useful for those who want to understand the logic of cause and effect of the price I have to say that since I started to use it I think I have learned many things that in these almost 20 years of career maybe I did not understand so I have to say that this is surely a really important aspect the aspect of data of what teaches you the platform of this kind a platform that however working on the timeframe rather on the single execution because it does trading of medium long term with the temporary horizon of a few months it is not a platform that is good for technical analysts, that is not a platform to design a trend line for indicators, oscillators, fibonacci all the things that even in a platform there is no so it is an extremely clean platform that does not have the features of technical analysis not even a platform that allows the analysis of the so-called multi-day profile so for example, who wants to see the end of the distribution of volumes in the last 30 days but it is very tiring so they want to integrate eventually these information with other simpler platforms there are many on volumes and it is not even a platform for the analysis of the order flow with other instruments like the footprint I do not know if you know the footprint it is a methodology essentially analysis of the order flow based on candles which are candles or at the time or volumes or orders or arrangements this is not the platform that does this kind of things because it goes much more into the details of what I think is a footprint this platform is also suitable for some financial instruments and it is not suitable for others I use it on American actions because American actions are available as data flows to be connected to the book map and I use it also for the future the future of the whole world CME CME, CBOT, NIMEX, COMEX the whole family of the CME requirement but also if you want you can connect the flow of the X-NiGOT that is the ICUS so KK, CUT, etc and the Eurex or Eurex that you want DAX, BUND, BTP RESTOP50, etc it is also suitable for the cryptocurrencies so with the cryptocurrencies that through different exchange not regulated that make the exchange of cryptocurrencies instead it is not suitable for the forex because the forex is not a OVC market so it is not suitable for volumes it is not suitable for CFD and but I say that even if I can not connect to CFD obviously I can do trading with the information I get from the book map on CFD for example I can look at the future of NASDAQ and then work on CFD of the USTEC100 as it is called the equivalent of CFD on the forex I know some doubts because there are value futures like ES, J, etc which are the main value futures against the dollar but frankly they do not have the same liquidity that the forex spot market of the forex and not even of other products that have a volatility such as swaps and forward contracts that actually move the majority of volumes of the forex world there are no futures that do not currently have data feed so flow data so I say immediately since we are in Italy Italian action and future of CFD can not be connected to the book map there are API that is the interface to connect other data feed but I have never tried to do it so I do not know if it is objectively possible book map as we can see it is not an exotic representation of the price of bar, volumes, orders N, T, K range or the rank, K point and figure it is a form map that instead shows the atomic level and the liquidity in fact the book map says it is a form map that shows the liquidity of the market in my opinion it is a form map that shows the flow of the executions at the atomic level that is, you can see the executions with a zoom level that is incredible until the minus of the microsecond in fact it reaches about 250 nanoseconds I remember that the microsecond is the millionth of a second and the second is the billionth of a second I'll show you here what it means to zoom at the microsecond I'll show you in real time I don't know if you can see the level of the executions each order that is executed on the ASCII this is an extremely interesting characteristic that could also be mentioned but please let me go and see the nanosecond since I wouldn't be able to appreciate it let's also remember that even if I was able to appreciate it and I had to click it if I had to stay together I had to cross the ocean and there are about 100,000 seconds of speed and light to overcome so it is clear that it is a type of information that doesn't allow me to do the work of an HFT of Aurora, of SIEMI to be able to hope to debate and to invest billions of dollars in infrastructure to try to do co-generated activities so this is not what I intend to do but to be able to visualize zoom the execution of the orders up to a thousand seconds helps me to try to understand what has happened in certain critical points for example it could be where the price has met the liquidity why this price from which the market has gone and I can try to understand it zooming at an instant level to try to understand why at this moment there were no more sales that made the price go down later on this believe me it takes a bit to get used to it but it is certainly really crucial so now let's see what the platform shows me and the platform shows me of the pallets and of the cars ok, in fact I called it the platform of the pallets it should be called dots or bubbles maybe the pallets made me have a better idea and each pallet represents an execution in this case a single execution but it is the aggregation of various executions because as I told you I can zoom in the single executions one by one and have an extremely effective execution of the orders so I have the order flow basically a single execution and the dots represent the liquidity that is, they are a visible indication of the order of the limit on the book in this case this is the gold this is the book I have seen the book where I see the presence of the order of the limit clearly in green and red so this area which has the highest amount of volume in green is indicated above a orange color this is the legend of liquidity it means in black in blue are the areas with low liquidity and in red are the areas with low liquidity so I can understand how it was how it is now and how liquidity was in every area of the graph so what you see is that the graph shows me not only the history of the single executions but also the history of liquidity this is telling me at the moment at the age of 13 and 52 liquidity appeared on gold at this level of 1643 and 4 green says liquidity at this level appeared at another time, 1726 so I can not only see the orders but also the history of liquidity so basically the platform does nothing else than show and execute liquidity then you could say it would be a question a question also without a doubt that all that I already have in the book and in the time and sales this is sparsely true I'm looking for something I also put the time and sales here it is this is the book you see that I have the book here but I have also reported in the more traditional form that this and from this side I have the time and sales ok it is true that the book the time and sales provides almost the same information that provides this platform but you have to put the ability to read the book and to remember that the other levels of the book historical is not so simple or one has a memory of almost autism to remember that here at 1640 the liquidity arrived at this level of the world or I can see the current but remember when the liquidity entered frankly it is not so simple so the chart basically shows me the history of liquidity on the book in this unique form with this characteristic and the single examples that have been composed so the single examples in theory I see them also on the time and sales but also here the challenge with time and sales is to put the market to the market that will become NASDAQ today is incredible it moves at an impressive speed and you see how I can see the single movements on the chart and the time and sales in this case here it will be really difficult to follow the evolution of the price now surely there is someone who can do this kind of thing to remember that level has been a whole price but here I have the story basically of all the executions and you see that going up to the second freeze to see what was the risk in this phase here I read that there was a risk of 47 bid contracts at 8,996 and that was a volume of 3 contracts that hit NASDAQ because the ball is red so this is the type of information that I can get and that frankly would be difficult to see with a simple union between the book and the time and sales I go a little further ok, let's try to see currently what are the constitutive elements of the platform here there is a line of this vertical line this vertical line basically separates the current from the past so this is all that is on the right is the current one all that is on the left of the past so you see a red and green line that represent the BDO the best bid is the best offer the best bid is the best task the best bid is the best order the best order and here you have the story of what was the BLASK all day so this is the first element the other thing I see here is the straight, so the last straight done I see then the performed under the form of dots, of balls that are the volume dots so going up to each single ball I can see the characteristics of each single ok, this is a volume of 2 this is a volume of 1 to which the precise instant was done and the BLASK was hit ok, if the BLASK is green the bid is red ok this is the kind of detail that the platform gives me down you also have the possibility to see the volume bars so the volume bars so a flying information that is present in the dimension of the single ball but you also have the possibility to see it on the X axis, on the axis of time so also to see, for example, the volume peaks where the volume peaks came and if these volume peaks also had an influence on the price we will see a little bit more practical and this has a notable influence on the price so these are the volume bars these are the volume dots so the little balls now you see that basically I, according to the OZUMA I can see the little balls more or less different but if I go to zoom in and try to have a bigger vision together the little balls here, for example you see that it is half green and half red half green and half red because at that moment in which the volume is stopped there are orders that have killed the beat orders that have killed the ask so in the visualization in which I could have had in the lap of a microsecond a few hundred miles I am able to I am able to see on the screen of time because I should have a big monitor like a house and so to be able to appreciate things I have to zoom in and be able to separate the single orders you see that these balls that are now all green and all red if I group them in the form of a cake where the prevalence of the color indicates me that I have been beaten on the ask so they give me the idea of what is the delta volume and therefore the prevalence of the delta volume is the prevalence of the last beats or Kinasca beats this characteristic of classifying things can be changed so now at this moment I have set the form in the mode in which standard to see things with more detail or with less detail this was my choice what you can see immediately is the utility of having the historical visualization of liquidity because liquidity indicates me potential points of development of the market ok you see how often liquidity has a particular characteristic that it does both by magnet so to attract the price both at the same time by repulsion there are moments in which liquidity crosses the line of liquidity so if it eats it I have to say that who makes aggressive orders is stronger than the ones that are made by hitting on the mouth so liquidity is eaten and other times in which liquidity pushes then we will see maybe better if there is time the concept of absorption of development and now let's see in this precise moment the nasdaq is going up and is looking for this level of liquidity and if he eats it less eaten and then the price approaches its course ok below I have an extremely useful indicator which is the CVD therefore the cumulative debt what is it? it is an indicator that every time LASC is hit in the red part of the book for a contract for example if it is hit the bid goes down if one is the size of the contract so if LASC is hit with 10 or 20 contracts clearly the volume the CVD goes up so I have here the visualization of this form of CVD and this is the indication which is also saying the the the end of the CVD at the beginning of the session in this case it gives me a negative value so we have been hit 1,300 1,200 contracts on the bid LASC so those who have made aggressive orders have hit the bid so it goes down here in this case we have seen that here LASC has eaten the liquidity and here at some point after having reached this level there is liquidity that is put on ok and in this case it does resistance and then it goes down obviously here you see let's say we call it the volume wall which at this point is trading a price concept 15 volumes you see that it is a volume higher than what you normally see on books here you can also see other interesting patterns like book flipping or for example I'll show you later today the platinum is a tool that has a direction a clarity of impressive movement platinum is a tool that tends to fall over and break out so if it breaks the important levels it usually continues its course so it is not easier to trade than the indices it is a tool with a liquidity that is more low lower than that of let's say of the indices especially vs or of the world but with a very clean behavior in this case here now I do not see it because bookbub shows you the data only when you turn on the platform or you can go and look for data behind the data reader from one hour for example on the future up to 24 hours on the dictionary I'll show you for example an interesting pattern here above there was at 16.03 here it is so expect ok in this case for example liquidity was here so the price was above the liquidity market ok there was a very strong acceleration of momentum zoom you see this sequence of red balls that are verified so they indicate that here they have only sold you see that the cbd is instantly rolled and when the price came down liquidity was above this activity is called flip the book when I am on the other side I am on the other side I change ideas to put resistance this is a rather useful indication to know that this generation of 30 this activity of eating liquidity during the descent therefore to lower the price because the strength of those who put aggressive orders in sales is much greater than the strength of resistance of those who want to buy the limit on the book here in this case the fact that the liquidity is then moved above is an extremely important indication of the fact that the trend will probably continue in fact you see what he did during the day ok let me show you this example is the btp today the btp had momentum in which it was supported in liquidity more times this is the DAX here I show you an important thing and relatively the data feed the Eurex showed up until October 20 levels per part after which from the end of October they were offered only 15 per part therefore I basically the book of the Eurex on the world on DAX is made up of only 15 levels therefore I do not have the full data from the market therefore I do not have the full depth of the book so above this price here I offer a second to block there are 1200 12802 I do not know what the quality is because I do not have the levels look at the difference for example with American markets this is the book I have the total visibility of all the levels up to infinite basically infinite then clearly at 2900 at the moment on the US there are only 24 contracts I do not know who put there to expect that it would be 2900 very pessimistic you see in this case I have shown on book map also the classic candlestick candela I have shown them only to show that they exist but frankly I do not want to see them while I work with because I want to see the price in the maximum detail so we have seen basically the part of the chart I repeat basically the volumes and the liquidity and this indicator which is clearly extremely interesting can also be used to analyze aspects such as the divergences so I do not know the maximum that are made on the price but at the moment are made on the community volume data it is a type of indication on the right of the platform this is the price scale in this case I have put this column which is custom notes where I have signed some important levels that I had seen for example L1 in my symbology something that I can add by writing it up means L1 that is the previous day this is the value area low so the lower part of the value area of yesterday this is the POC of the last 30 days POC 30 days this is the value area high so the maximum of the value area of the previous day this was a value of LVN it is for the volume node and maybe I had also signed this OI volume node and the open of the previous candle so I can trace here on the various price scales what are the elements that I want to keep under attention for example if I use the volume profile I can go to write for the day what are the levels that I want to pay attention to to whom I want to pay attention ok so this is the custom dot function we have said the car in order book in this case I represent the histogram in order to see both the numbers of the bid prices in this case those prices but also an immediate graphic indication of the points where the highest concentration of the volumes is obviously this indication I also have of the current models so the highest concentration of the volume is now in this phase here in this area here or here those of the histogram of the book so the book clearly gives me the current information of the volumes but the chart also gives me the historical one which I normally do not have this column here provides me with the indications of the added and removed from the book so you see that I can see for example when there is an important speed but I can see if they are removing pieces from the book who works on the book knows that this is information that looks a lot if especially in proximity to the price or in proximity to the level of attention such as this could be a liquidity that is made by support and is removed or added to it ok it is an indication that I also graphically objectively because at this moment we see for example that the liquidity on this level is increased here we had a certain fun I must say with the mouse over you can see that here there were 182 contracts and then by hand that the price has increased and here they have become 3,000 excuse me they have become excuse me they have become they have increased where they have ended here they have increased 257 400 etc so the indication graphically it is useful to understand when the liquidity increases because the machine becomes the yellow orange and red orange tends to also become a little more expensive because around the level of small liquidity in general other levels are distributed and therefore it is not simply a line on a single level of price but it is a machine that presents a zone of prices ok yes, CBP is for chart volume profile this is the volume profile but it is the volume profile the graphic zone that I am observing in this case from 1711 up to today I am 1845 so I see that we are already quite in time so I went out and it was quite long but this makes me see graphically the volume profile I could also see it in the whole session both from the beginning of the activity of the day or or by setting it because there is the possibility of setting this form here this scheme here so that you see it under the form of volume profile of the session ok this kind of information also allows me to do with book map also the analysis of the so-called footprint because if you are used to looking at a footprint you see a indication of this type where on the right the volumes that were hit by the bid and on the left the ones that were hit by the ask this kind of information is usually linked to a candle fixed, that is, a time candle volume candle order candle etc in this case mine is a candle that is zoomable to the placement so I can see for example because I think that this is an interesting price what is the behavior of the volume profile in this precise area that is what I need on the graph at this time so I can see, for example the so-called trap traders that are often verified that there are trap traders are those who have bought the lowest price or the highest price and that they tend to agree and then they have to recover and then make the price reverse that of those who use the volume let's say the footprint maybe it's a bit difficult to follow because maybe we say a little bit of knowledge of the volume world helps in reading of the information you see on this graph we want to show also some actions because I think that the actions movements are also cleaner than those but you are right, they are cleaner than those of the index because they represent a single type of interest and not a sum of actions you see very well now it is clear that it is necessary to take a little bit of the hand I have been looking at this thing every day so I took a little bit of the hand but you can perfectly understand how liquidity works as a price attractor and at the same time when it is very big and when there are the right conditions also to give a push so in this case here you see this is the opening in the dictionary you will always have monstrous volumes in open and above all in close so any day you analyze you see that the ball of the open and the ball of the close are honestly bigger than the others according to the size of the balls they are on a scale compared to the biggest if I go to exclude the first ball you see that these other ones the same thing is valid for the discourse of liquidity so even the scale of the color of liquidity is referred to the portion of the graph I see so if I go down maybe it was a liquidity that could seem to me orange can become yellow because I'm looking at different things and vice versa so in this case you see how liquidity has been made in 2021 2021 439 pieces of apple up here and this is a very interesting indication also the fact that liquidity is less permanent that is stable so this liquidity you see that it was added to the 1530 so the market opening so it was like this but it was eaten by the strength of the sellers the volume delta came out during the whole day and how was this eaten how was this eaten even if in this moment here you see this big green wave there was a resistance of the level then the price went up then the liquidity here disappeared and at this point there was no more barrier to get to the largest level of liquidity that worked very well as a support this kind of things maybe make a little guess that this level corresponds to some at least a few days ago on the charts let's say classics in time but it is not always like this if you allow yourself to accept the investment points of the swing on a graph of this type you see that they are not always points the classic technical analysis therefore with support resistance, horizontal line or also trendline I challenge you to do this experiment so to visualize the price investment with a logic that can be completely different from that of the traditional technical analysis this is Apple then I will do Microsoft Microsoft was a typical assortment this is a paradigmatic example of what an assortment is the price that goes down huge liquidity these thought not demonstrable but they probably found an iceberg and therefore the volume of this ball even though it could be apparently greater than the liquidity present on the book at this moment it generated a return to the side because the price was not able to go down on this level so it means that who was on the book has shown this liquidity but when the price has reached here it has made a refill of the level and therefore has prevented the aggressors who have made a huge effort this volume which indicates with a green piece, a red piece also the volume delta so it indicates that inside here they have only arrived practically only sellers so sellers who have made market orders very important but they have not managed to eat at this level and the price at this point has returned here I remember a very interesting thing if you are this here and you see that the price does not go down what do you do? you realize that it is the pearl that has remained cooked in hand so what is technically called the trap traders the trader is trapped what he does is to recover immediately and it is he who then removes the recovery and therefore the price ok now, unfortunately, I went very long and there is no time but we will see if you are interested we will see some practical examples that are surely more instructive in the next web where we will try to understand the concept of very good absorption but also the concept of absorption we still have maybe a few minutes I am tired because the time will be 45 minutes another characteristic which is what we said before of the visualization of balls as you want in this case here I have the mouse with the volume dot settings and in this type of visualization which is perhaps the simplest one for a neophyte to start I have used a logic of clustering that is, aggregation of the orders ok in order to have the singles executed in a cleaner way I can put clustering none so none and I see to visualize orders in a single way in a much clearer way in addition to having the visualization you see that there is still a piece of mail that at certain times I have the same type here I can choose to visualize things but only a version beta of the same form in the form of a delta volume so I do not want the total volume that has been put in that area but only the delta volume so the by-self and in this case the balls assume a unique color that is given by the difference essentially of the eventual but still when I zoom I see the atomic level things so I still see the orders in a different way but this example this order here that I see as two orders in fact there are two orders that are distant this is 47, 41, this is 10 in the second there is the 10,000 10,000 and this is the microsecond so from here I have passed the microsecond but you see that clearly by hand that I zoom these orders they overlap because obviously graphic isolation everything that was before was separated now becomes a unique ball ok so the analysis for example of the graphic of what happened in the moments in which for example here is what I invite you to do when the story of this and then this, go and see what happens when the price meets the liquidity which is there that you learn to understand if the price will continue to have the liquidity or it will stop and there will be an imbalance I ask you a little time but I guarantee you that after a little time you will be able to enter let's say almost a thousand meters long so we remain all the technical part of the analysis of the how to use the microphone from a practical point of view and let's go and see a relative aspect to the broker and the data so I do this because I have a little let's say in which I have started to tell this kind of operativity so some of you are here who are listening to me and have seen many results that can be obtained with this kind of operativity that are especially interesting to these aspects here, that is to which types of broker or platform can they be on the platform? I do not want to ask myself on the one hand what are the potential suppliers of data feed for E-Fusion so DX-Feed Rhythmic, Rhythmic, Technology, CQG Capital, Transactive, E-Feed Sedgefiber I, in relation to the E-Fusion there is something to say that the E-Fusion of DX-Feed and those of Rhythmic are the only ones that I know that have a full depth of market so that I allow you to see all the levels of the book instead of having this kind of characteristic, for example with CQG so this clearly concerns the E-Fusion because the European market does not have a problem because they are limited from the Eurex to the source regarding stocks so you can connect with them frankly and DX-Feed for the data feed so DX-Feed for mission which is what you were seeing before on American nationality of high quality and you can then do the orders so you execute them because DX-Feed does not allow you to do the partitions regarding the world let's say crypto there is much more stuff let's say on exchanges of crypto or some reticence to put the money, but maybe they are my problem here inside if you want to see the recording or do a screenshot of the screen you can also see some details in addition to the platform and the book but where to find indications relative to connectivity and in this case they are also the brokers of the activity so on the solution we said Tristation and Trap and Broker allow you to do trading on the future part of Ameritrade Tristation, Tristation, Presto because they are not yet Ameritrade and here on stage 5 Optimal Scannon, Rhythmic Amp, Function, etc Rhythmic is also a gateway so you can use it with various brokers that give you the flow data of Rhythmic and so it allows you to have both the flow data and the executive part I don't want to sponsor anyone let's see the most important aspect the pricing here inside if you go to bookmap slash this pricing you have the information that I have brought here you can subscribe if you want, if you like digital which is free which is valid only for cryptocurrencies so you can you like the platform you want to download it, you want to start playing with the digital platform you have the possibility to see the cryptocurrencies in real time and the shareholder but only the shareholder if I remember well returned however this allows you to familiarize with the elements of the platform if you like if you want to see the flow data for the future and shareholder you have to write the payment or the global or the global plus or plus as we say where the global is the platform more basic which allows you to trade trading only on cryptocurrencies but it still allows to visualize the future and the shares with the global you can visualize the future and shares and if you want to do trading on another platform with another broker this allows you to save some money but you lose a whole series of indicators and functionality that I did not have time to show you today as the detector of the large large trade or the iceberg or the imbalance that you see that shows you in a very obvious way if there is more pressure in purchase on the book and if there is more pressure or in purchase or on the executive part I remember that books are always the opposite of the platform this is the price for the case of mensile or you can save 20% compared to the prices doing the annual payment or if you want to buy that lifetime in lifetime however you have the upgrade limited to version 7 which is the current one and at 8 so if one day there will be a new map 9 I don't know when it will be released with the which are quite aligned with the other professional trading platforms and the offer that bookmap does that go to let's say in the chat now maybe Bruce will write the address that can also be this here I put it in the chat of go to software link is not right alright sorry, so what Bruce put in the chat where you have a a little discount for example this formula that costs $99 a month in the first 3 months you have it $49, $147 for 3 months then it goes to $99 or you have the that one year at a price of a little less than 50% a little less than 50% well these are the ones that I mentioned they are the most interesting offers because on the lifetime maybe the price is lower I leave you to score just these links to make the screenshot with ice or other instruments also the simple windows these here they allow you to score which are resources to deepen the things because I tell you the truth on a bookmap you find a lot of monstrous stuff in the sense that Bruce who is the head of the computers does a deck like this to try every day Bruce speaks a very understandable English for a bookmap like me but there are a lot of things there is a YouTube channel where you really find the world there are dozens and dozens of videos made by professionals who give you an indication on how they use the platform and then there are Webinars almost every day as far as the basic use of the functions of the platform as far as the time analysis of the situations so you really have a lot of stuff these are other resources in the Web site you find a part of education a part of wiki, a blog, a forum something that is above all the YouTube channel, the YouTube channel there is really everything something that in my opinion is really something to read and this this because most people have absolutely no idea what the market is what does it mean when they book their priority how the iceberg works inside here you explained everything really, really well so this that I have identified in bold is a resource that I absolutely recommend you to read also this in English for us Italians it is a little more complicated with these examples these are the courses of education which are made by Bruce so the first part this here is available for everyone, you find it on YouTube these are available only for the customers but well I will close here the questions and answers but I wanted to make you understand what I would like to talk about next time I would like to make you understand for those who are really the managers what they are interested in doing and if they always win this because we know that we think that the retail goes against the managers in retail we will see that this thing is totally false that it goes against the managers and that the managers do not necessarily have the same interests they are not necessarily explorers there are those who do arbitrage who do engines etc we will try to look at these things looking at real numbers and not campaign actions so we will also see what is the influence and what is practically zero we will see a little better what we can see today so the assortment when the price invests when the price eats quality why do we do it we will also see what are the things of execution alpha as market interventions that work for example we have seen maybe the indicator that the view app to try to bring it home every day we will try to understand what we would do if it were an institutional that has to buy 1000 stocks that are about 125 million euros because obviously you cannot put an order on the book of 1000 stocks because I do not have the same time you cannot put an order on the market of 1000 stocks because the book is executed we will try to understand what an institutional does when he wants to work and this is useful because we will try to understand why the price moves in a certain way then we will see how to prepare the job manage the news flow so the news that comes those calendars but those that instead are let's say they come from squawks that is the volatility of the different volumes between the various sessions and then we will try to make a little clarity also on the expense of the manipulation of the market that is those that are activities guided by law that are the breaking platics of manipulation such as spoofing or straight book flipping that are activities that if well together you see the same market every day can you confirm Bruce that spoofing or book flipping are currently in the market every single day yes yes yes you can see yes ok that's all so I close in reality we really took a long time so I don't know if there is time for questions I don't know if there are any but there are a few questions and I start with maybe with Enrico I say compliment in the next webinar already decided there is a date March 30 can you confirm Bruce March 30 no no March 20 March 20 ok sorry so these are a date that we will do but I don't know if we will do it in English or Italian now we will see if we will do it with translation a little antipathetic I can't see the questions well maybe if I touch here ok have you tried to connect a direct book map I haven't tried it, I know that my friend Fabrizio Minciotti is trying it I don't know if we can who has direct FIB can you suggest a few parts of liquidity to use on NASDAQ a second frankly I don't think it makes sense to work on a second but I guarantee you that if you start to look at liquidity and see what happens when the price crosses liquidity you will be able to enter on the reverse for example with a precision infinitely superior to the one you have with a traditional graphic where you actually notice that the price in green only when you form maybe a pin bar on a support resistance on the 13th on Apple it can be a flip the book I don't know I'll have to look at it direct data flip for multi charts but they are slow ok compliment ok these are compliments so we don't show them thank you anyway Enrico I already used it for live training for 6 months this is an unpretentious question someone from my Facebook group has seen how how much you can do excuse me something public I don't put it let's say that my performance has improved a lot I would like to know about the strategy in 3 days with book maps if possible yes volunteers how long does it take this is an interesting question how long does my friend Andrea how long does my activity last how long does a trade last so who does training in 3 days unfortunately you find where you have to do multi day what is the main disadvantage the main disadvantage is that the law that provides you this kind of indication lasts little because things change very very quickly and so the fact that there is for example an acceleration of the volume that you see a clear starting for example that there is an acceleration that then brings the price to the top typically there are no inversions that I can use to watch to keep up with the days so what I tell myself that I usually work on the Nasdaq to bring me home between 10 and 30 points ok sometimes less sometimes more in these days for example the Nasdaq has been the swing among the monstrous in a few minutes and we can do it more easily this thing here clearly means that you will have a little lower average trade but the law that you get will bring you to a let's say to improve the risk reward in favor of yours and therefore the activity can still be extremely profitable of course it takes a lot of practice it is not black how many hours a day I am in front of the monitor this is a question I do not answer to look at this stuff maybe in the morning I tend to work maybe in the afternoon or for example I do the last 10 minutes of Nasdaq because I know that the quality is crazy so this also depends a little what you have because if you manage to do 20 points of Nasdaq that I am with an 8 or another 100 dollars the power to say well enough and I go out or if you want to try to do more risking to lose everything and then the risk of interdeco to become a psychopath but we all know this so clearly a lower average trade but I have to say that it is the law that there is no more than that on which tools are you looking for improvements or future as I said before the shareholder is certainly more clean in the future but unfortunately a lot less and the lever between the American national and 4 while instead there was no future and immediately 15 and so to work on the shareholder to bring home the bread needs a consistent account with the future with all the risks that it uses that it has, it can surely it can do better how much can be important from hardware for this is also a question what hardware does it need Bookmap is a fairly demanding platform in terms of CPU and graphics but above all it is because the flow data is very heavy we are trying to understand an aspect while I load a graphics to the candle I am passing the open-eyelow-close data in the middle there is nothing put the volume into the candle so to download 10 years of open-eyelow-close even with a candle in a minute it does not weigh anything here inside instead you bring the executed to the second year with their volume and with the history of the book moment by moment with a frequency of refresh if I remember correctly of 250,000 seconds you have the exact dimension of all the levels of the book all the levels I mean all the level 200 of Microsoft I have it all day so there were 143,694 volumes I have to record every 250,000 seconds you realize that this stuff clearly weighs a lot so the flow data is really an important aspect I need quality flow data and quality flow data cost and weight because quality flow data is really expensive for the future if the year goes by or if you want the question is if these volumes have been harder or easier I prefer the lower volumes because I prefer to play between the levels of resistance but it depends I do not know who asked me what are the results of the last two days and so I know well that when there are very strong trends it is always better to stay silent so I do not have the references on past volumes I will probably add another platform for the volumes if you want to see volume profile I have another platform with which I look at the volume profile for example of the last of the week usually on VPS in theory you collect the data of the previous days or when you have the platform you start looking for the data it is not historical and it is not made to do an analysis of the volume profile but there are platforms among us 3D in view for example the platform is made by multi there is very little and it allows me to look at the world of the volume profile for D&U there are others Overchart Volsys I do not want to publish market delta there are many so what you like the most is that you find yourself better I do not know if there are other questions I can not read them all bookmap suitable to open realtime I wonder not that I know so I know how to work rich with realtime with all its levels and with the analysis of the supertrend of the DX this is a platform part to try to optimize the accelerations that you see for example with the DX or with your strategy swing back on the booleans I do not know if there are others how to visualize the volume low and ask for light as I said before there is another platform this is the platform that shows you the immediate current if you want to do a multi-day analysis you need to adapt it to a more traditional platform I think I will answer all I apologize but we are already over 30 minutes so I leave the thank you I leave the thank you very much for your invitation Enrico bravissimo it is really a a high level webinar here now let's see how it goes March to do it in English with a translation in Italian let's see what we do but it is really very clear all the functionality of the book thank you well then I will send the rest of the questions to you if you like you can answer Enrico ok excellent thank you thank you very much really fantastic webinar thank you bye


Hello and welcome to this session in which we will discuss the liquidating distribution of a partnership. In a prior session we looked at non-liquidating distribution and the difference between the two is in the liquidating distribution the partnership simply put its closing, we're closing the business, we're closing all the accounts and that matters that that's relevant to understand what's liquidating because we have to deal with basis and when we're liquidating we have to get rid of the basis we are gone the basis should go down to zero so the nature of the liquidating distribution can take place as a singular event simply put you can you know close the business in one event or may occur in a series of event they could close the business in various steps the end of the day the partners is exiting the partnership simply put the partner is gone the business is closed and the partners full exit from the partnership is the end product so when the partnership liquidate proportionally and remember we have proportional and disproportional proportional means you're going to get exactly the value of your percentage ownership under those circumstances no gain and no loss is recognized by the partnership and we will work a liquidating proportional distribution it will be helpful if you understand or if you reviewed before we go through this session the rules for non liquidating distribution that's proportional because it's similar in a way but not the same so let's go ahead and get started before we proceed any further I have a public announcement about my company farhatlectures.com farhat accounting lectures is a supplemental educational tool that's going to help you with your CPA exam preparation as well as your accounting courses my CPA material is aligned with your CPA review course such as becker roger wiley gleam miles my accounting courses are aligned with your accounting courses broken down by chapter and topics my resources consist of lectures multiple choice questions true false questions as well as exercises go ahead start your free trial today as I mentioned ordering rules and liquidation are similar to the non liquidating or the current or the current distribution the rules for assigning liquidating distribution are similar similar means not the same similar but it's very important or very helpful if you remember your current non liquidating distribution assuming we have a gain scenario and we will discuss what a gain scenario in a moment gain means I'm specifically saying no loss because under a loss we're going to have different scenarios the ordering rules are the follow first we distribute the cash then we distribute the hot asset unrealizable receivable and inventory then the third step it's going to be a little bit different any remaining outside basis gets allocated to the other assets received because what we have to do is we have to zero the basis why because we are dealing with the liquidation so we're going to see what that means but this is the step where the word they differentiate this allocation of partnership interest does not apply when the partner is required to recognize a loss and we're going to look at a loss situation because the rules might be a little bit different let's take a look at a normal distribution with the gain first we distribute the cash cash is the first asset to be distributed during liquidation if the cash distributed is greater than the basis then we have a gain and we already know this from the current distribution or non liquidating distribution now the distribution of cash which include deemed cash like what relief from the partner share of partnership that if they relieve you from that it's the same thing as they gave you cash that reduces the liquidated partners outside basis dollar for dollar remember basis cannot be cannot be below zero we could go down to zero then the next thing if you have anything left any basis left and we have inventory we're going to distribute the unrealized receivable and inventory so following the cash unrealized receivable and inventory are next to be distributed now these assets received a basis equivalent to the lesser of these two values so what what amount do we assign to that ar unrealized ar or receivable the basis is the the the the lower of the partners inside basis and those assets the partnership not the partner the partnership inside basis or the remaining outside basis of the partner because once you get to the eliminate the outside basis of the partner you can't go below zero so the lower of these two will be used so the partner's outside basis is reduced by the amount of basis allocated to these ordinary income producing asset remember we our goal is to bring your basis down to zero outside basis down to zero the third step remember the third step is they is where they differentiate they differentiate between liquidating and non liquidating the difference between liquidating and non liquidating becomes apparent at this step if the liquidating partner has any remaining outside basis whatever that outside basis is it's allocated to all asset received in this step during the liquidating distribution why again we want the outside basis at this step to go down to zero now the best way to illustrate this is to look at an example so let's assume john has uh has a basis of 80 000 john received 20 000 in cash so they started with 80 000 in basis first step we're going to allocate the cash and cash the basis and the fair market value is the same basis after the cash is 60 000 then a proportionate share of inventory remember this is a proportionate distribution with the basis of 25 fair value of 35 we eliminate the fair value we're going to take out 25 000 for the inventory therefore what's left is 35 000 then they get a building with the basis of 10 000 fair value of 15 well hold on a second we're giving them they still have 35 000 we're giving them an asset with a fair value of 15 and a basis of partnership of 10 first of all we're going to use the fair value but even if we give them a ten thousand dollar even if we give them the ten thousand dollar basis follow the rules if we follow the rules as we learn what's going to happen if we allocate 10 000 what's going to be have what's going to happen is we're going to have 25 000 remaining we can't have 25 000 remaining this is not a current or non liquidating this is a liquidating what does that mean it means the building will take a basis of what of 35 000 to bring down the basis to zero so the distribution liquidate both the partnership and john and pire interest we have no hot asset other than the inventory and it's a proportionate distribution we recognize no gain and no loss so first 80 minus 60 will give us 80 minus 20 will give us a remaining balance of 60 then the 60 is reduced by 25 to 35 and the step three the building absorbs john remaining partnership basis of 35 000 of 35 000 why because we need to remove it we need to remove the basis the basis will need to go down to zero that's the purpose of it that's the logic because if we are liquidating what would john do with the remaining basis if the business don't exist we could also have what's called step down and stop step down and stop up basis when a multiple asset are distributed within the same class special rules may apply under those circumstances let's see how what are they we could have a step up step up may be necessary or a step down might be necessary what does that mean the partners remaining basis whatever remaining basis we have for the partnership interest is less than the partnership basis for the distributed asset in that class so the partners remaining basis whatever that remaining basis are let's assume it is remaining basis of 35 000 is less than the partner's basis for the distributed asset so whatever we have left is maybe uh you know 20 000 uh i'm sorry it's less it let's assume 40 000 okay the partner's remaining basis for each distributed asset is proportionally reduced what's going to happen is remember the asset inside the partnership the partnership basis for the distributed asset is less than the partner's basis what's going to happen is let's assume this is john this is john basis okay and this is the partnership basis in the distributed asset well john basis are lower what we have to do is we have to reduce it proportionally the reduction is done to minimize the difference between each asset basis and its fair market value and we're going to look at an example to illustrate this concept this is a step down we could also have a step up we're going to look at an example with a step up but the same concept will apply here's the partners remaining basis for the partnership is greater so if we have 30 if john has let's keep it at 35 000 it's greater than the partnership basis for the distributed asset in the other asset class other asset means not cash and not what and not hot asset not inventory or receivable a different rule would apply the partners basis for the asset and that class is determined in a way that ensure the basis amount are proportionate to that the fair market value so we're going to use the proportionate fair market value of the distributed asset in that class well hold on a second could you give me an example yes let's take a look at an example let's go back to the john's example same example as john except that john received two buildings at the end remember john had let's go back to that example so we're going to look at the same example where we have 80 minus 20 gave us 60 000 then we reduced it by the inventory where remain was 35 except now with the 35 000 we are giving john two building one building with the basis of 4 000 the other building is basis of three now the fair market value of these buildings are equal so the fair value are the same just for the sake of illustration it doesn't matter they can be 60 40 40 30 you know 30 70 it doesn't matter in this scenario john recognizes no gain and no loss here's what's going to happen we're going to take the 80 minus the 20 we're going to go down to 60 then we're going to take the 60 minus the 25 brings us down to 35 000 what's going to happen is this the 35 000 that's left since we have two assets we have 35 000 left and we have two assets how are we going to allocate the two assets well the basis is four and three we're going to have a step up and use the fair market value and assign for each asset 17 500 50 50 percent because the building has equal fair market value so what we did here is we did a step up and the opposite would have been true if we had to do a step down but this is basically how it works let's assume where we have a loss recognizing loss and a liquidating distribution so when do we have a loss in a liquidating distribution we can only recognize a loss if two conditions are met here we are working with the losses different than a game scenario the partner receives only cash unrealized receivable or inventory so we're only receiving cash or hot asset now it's critical to to know the word only okay a distribution of any other type of asset would remove the loss okay so we are only receiving cash and hot asset and no other third type of assets and the partner's outside basis is greater than the inside basis for the hot asset so basically we're getting less than what our basis are okay so the basis of the hot asset cannot be increased you cannot increase the value of the inventory you cannot increase the value of the receivable as a result the assets in step two take the carry over basis and the partners can claim a loss for any remaining basis and the partnership interest let's look at an example Sarah's outside basis is 50 000 she received a liquidating distribution of 10 000 in cash and a proportionate share of inventory have a partnership basis of 5000 fair market value of 15 remove the fair market value now we are not allowed to have a step-up basis of the inventory okay and you can obviously you cannot have a step-up basis for the cash if you say 10 000 cash you cannot say well the fair value of the cash is worth more you can do that right so cash is cash so Sarah is not allowed to step up the basis of the inventory neither so 5000 is allocated so what's going to happen is this Sarah started with 50 cash 5 inventory cash 10 inventory 5 what's left is 35 000 okay because she received a distribution only with cash and inventory now the 35 000 is what to her the 35 000 is a loss recognize a capital loss of 35 000 on the liquidation okay now let's assume change the example a little bit and assume Sarah receives a piece of furniture from that partnership with the adjusted basis of a thousand that was used that was used in the partnership ignoring any depreciation recapture to say she received a piece of furniture well guess what remember that 35 000 that's a loss then the furniture will absorb the basis then would say the furniture will have a basis of 35 000 and the capital loss is basically evaporated gone evaporated gone what should you do now you should go to far hat lectures and look at additional resources lectures multiple choice through false that's going to help you understand this concept it's very important that you reinforce what you know through practice why because you want to test your knowledge and far hat lectures will give you that option whether you are a CPA exam candidate an accounting student invest in yourself or an enrolled agent invest in yourself good luck study hard and stay safe


Okay, welcome back. We're here live in Boston, Massachusetts. This is SiliconANGLE and Wikibon's exclusive coverage of HP Verticus Conference. We're here on the ground. The hashtag is HP Big Data 2013. We're watching the Twitter feed, so tweet at us. We'd be happy to answer and engage with you. Again, this is SiliconANGLE and Wikibon's theCUBE, our flagship program. We'll go out to the events. Extract a signal from the noise. Follow us on Twitter. I'm John Furrier, the founder of SiliconANGLE. I'm joined by co-host. Hi, everybody. This is Dave Vellante at wikibon.org. Chris Weger's in this here. He's with DNC, the Democratic National Committee. He's the director of data architecture. Gave a keynote yesterday at this conference. Chris, thanks very much for coming on theCUBE. Sure, thank you for having me.  We've had some folks on from Obama for America and the way in which data is now being used for advantage to raise money, to identify trends. So first of all, congratulations. How did this all come about for you personally? So I actually got involved on the campaign in the first, the president's first campaign back when he was a senator during the primaries. And actually, at the time, there was no, there was no real analytics. There was no big data program. The teams that we have now didn't exist then. And I really wanted to get involved to help with what I believed in. And it's actually been an interesting experience that over time that's evolved to, now it's actually a really interesting technical problem that we have, we've created all of this data and want to do something interesting with it. And so now we're sort of on the cutting edge and it's just happened in a few years. So tell people who may not be familiar with the story. What did you guys do with data and what was the impact on the campaign and some of the outcomes? We did everything with data. What we wanted to do, so Jim Messina, our campaign manager, has actually said that he wanted to measure everything, put analytics in every aspect of the organization. And that was really what we strove to do was to figure out where are all of these sort of distinct buckets of data that for years have been sitting untapped out all over the place. How do we bring those together? And then more than that, how do we take that and start deriving actual intelligence from it quickly? I mean we had, I said during the keynote yesterday, that we had the mother of all deadlines. And that's really true. I mean it's like we couldn't deliver something the day after election day. And in fact it wasn't even that we couldn't deliver it the day after election day. Campaigns are very scheduled and you have to have things at very specific times. And so just the challenge of trying to, without, you can't have a big technology buildup before producing sort of analytic insight. So one of our challenges and why we came to HP Vertica, for instance, was just because we needed that ability to move very quickly from data spread all over the place to actually be able to do smart things with it quickly. It's the ultimate challenge too on the ramp up. And then you said the ultimate deadline. It's like it's got to work, it's got to work. Take us through the rocket ship of the team and what were some of the insights that you've learned from that? Take us through some of the things that happened that were very cool and motivating. Also talk about some of the challenges and what insights you've gained from that. Well, we hadn't had experiences where we give such a large team access to, without a lot of SQL experience. That was the thing is that when we built this analytics team we were like well we want people who are really smart, who get the underlying problems but they're not going to be technology wizards. We're going to have, You've got DBAs, they're people in the field, right? Or experts. Right, people who understand sort of the of voting and all of that or fundraising or whatever their specific target was. We wanted to bring those people and give them the ability to serve themselves to get into the data and just play around with it.  So making it as easy as Google search. Right, well it was a little bit harder. But not SQL queries. Right, well no, so our entire team was using SQL. So we had, our internal analytics team was about, I think maybe 50 or so people. And then out in the state, so we had embedded teams of analysts sort of out in the states that maybe totaled, and throughout other parts of the campaign as well, maybe totaled another 50 people. The ones who didn't know SQL, and there were many, we taught SQL and so we had this crew of 100 plus people who were in there and could work with the data. And it wasn't hard to teach them SQL. And, but then they were empowered to, if they could find two tables, they could join them and we didn't have to worry about performance. And that was really empowered. So they had the post-it note of the command and they just did what they had to do. And so I mean we had some queries that were not necessarily the best. You get these giant nested sub-queries many ways and which are how people think and that's great. But people hungry for data can learn basic SQL. Absolutely. I mean they're starving for data. And that's it. They were, and you know, that's what we saw across the organization is that the more people use this, the more they wanted to use it more, right? It's, you know, once you have access to it. To the magic of it, it's beautiful. Then it just, you know, feeds back in on itself. And so we were just, we were just there always slightly lowering the barrier so that people could figure things out. So was this thing powered by Vertica? Are you just here as a thought leader? So this was powered by Vertica. I mean every diagram that I draw of how the analytics operation works, whether it's about how we sort of worked in terms of process or how our data flowed, Vertica is right there at the center of it. And that was a big part of how we were able to do this was because we didn't have to worry about sort of a complicated, you know, ETL process to get things into there or, you know, how is this going to perform? We were able to get our data in there and its raws form right away and people could start using it. So our analysts were, you know, in there right away.  So what were your data sources? I mean, presumably you started this journey today. What data sources are we going to use? There's so many, but what were the primary ones and how did you get them in there? Sure, I mean there, you know, I can't talk about, you know, everything that we had, but, you know, we had a lot of pools of data. You know, part of our sort of core is a registered voter list. So states are required by law to keep an electronic list of all the voters. You know, whether they have voted in the past but not who they voted for, obviously.  So now we know. So that's public data. That's public data. Okay, and then you had some of your own IP. That's right.  So when somebody knocks on a door, makes a phone call, we get data about that. And that's exclusive, obviously, to DNC. You don't share that. That's your competitive advantage. Okay. And you had other public sources. You had social data? Yep, social data.  Okay, so how did the data get into the platform? Sure. We actually had a lot of different paths for that. We ended up building sort of our own, sort of our own system for being able to plug in to the databases that our organization had already set up. So I mean, we had one of everything. There was, you know, MySQL, Postgres, Microsoft SQL Server, you know, raw text files, whatever we had, there was around there. And so we actually ended up building sort of a process to feed that data into Vertica. And that was, again, sort of, you know, we didn't want to transform it. We didn't want to do anything. We wanted to grab sort of just whatever was new was coming out somewhere and drop it into the system. So we ended up being sort of, you know, unhappy with what we could find that required very little effort too. If I just want to copy a table, I should be able to copy a table. So we ended up creating a pretty impressive system, I think, to move all of that around. And the platform, I'm assuming, is candidate agnostic. I mean, you guys are building something that can last and continue and evolve and innovate. Where do you see taking this in the future?   We all had the same mission, we had the same leadership. We were organized, we had this sort of central, you know, campaign analytics team, central organization. The, our next big challenge is 2014, the midterms. How do we take this and, you know, sort of tip this organization right on its side? Right now we're dealing with all of these different independent campaigns who are all clamoring to have, you know, the innovation that they know is out there. I mean, that the Obama campaign did. How do they, you know, how can we do that for all of these smaller campaigns, which have, you know, fewer resources, fewer staff? And you have to make trade-offs, too. Right. Based on probabilities of success, right? So are you using analytics to do that, or?  So, yes. You know, smart about how we operate. So what is the biggest thing you've learned? The biggest surprise that you had, that you didn't expect that happened over the course of your journey? Boy, the biggest surprise, you know, I think it was the, the, oh my gosh, this is gonna work moment, right?  It's actually really difficult, at least for us, you know, having no experience doing this before, building, you know, even like a proof of concept, right? During the evaluation stage to figure out like, you know, how are we gonna do this?  I mean, that's pretty incredible from an organization where that didn't exist before.  You have to, I want to ask you about how you balance your public persona and you guys are out, you're talking and that's great because you're marketing yourselves and attracting, you know, new people and new contributors, collaborators, young people, old people, et cetera, but at the same time, you've got some pretty serious IP that you're trying to protect. Do you have that discussion internally? I mean, I presume it's not a free-for-all. How does that all, you know, work?  It's certainly hard to, you know, we have to balance, like you say, but part of this is, you know, going out and we want people to be excited about this. We want people to know that we are, you know, thought leaders, like this is, you know, this is the image that, you know, we're trying to project and we have to, you know, we need to bring in staff, like this is driven by staff and we want people to know that we're doing really cool stuff and so, you know, we have to walk a delicate line between, you know, giving away the secret sauce and talking enough, but a lot of the technology problems, like, you know, this is out here. Yeah.  Right, it's the people and the process behind that.  So a lot of people watch theCUBE, there's people out there, maybe want to get involved. What kind of people are you looking for on your team, whether it's data scientists, mathematicians, statisticians, programmers, who are you trying to attract? Let's see, data scientists, mathematicians, statisticians, programmers. No, I think, you know, it's working, you know, working on a political campaign, sort of during a political cycle is hard and you certainly have to want it.  What's the hardest part? I mean, it's a zero sum game, it's like sports in that regard and you've got very tight time frames, you've got intense competition, you've got, I'm sure, demanding bosses. What's the hardest part? Lack of sleep. You're young, so that's not good.  It really forces a different way of thinking about things but I think it's a way that's been very productive for us. Rather than thinking about, okay, what is this project that we can set sort of a long roadmap for and sort of work through, it's okay, what can we do in a week that's gonna add value? And then at the end of that week, we're like, okay, you know, put it in the analyst's hands, did you derive, and then a week later, okay, did you get any value from that? Yes, then let's see if we can make it a little bit better. No, let's throw it out. Like, you know, we can't work on that anymore and so... John, I was using the Jim Harvock quad, you're either getting better or you're getting worse. You guys are constantly trying to get a little bit better every week. So what's next? So final question, we got a break here, but I wanna ask the final question. What's next for you guys? What do you guys continuously improve on? So, I mean, we've got a lot of different challenges. I mean, I think there's a lot of growth in sort of in the social media area where we broke the surface of that on the campaign. We did some cool stuff, but there's a lot to learn. I think there's a lot to learn sort of across the entire space.  Yeah, federate it out, and people empower people to do more. Exactly, when, you know, it's just a very different structure, a very different set of challenges. And how do we get that into thinking even longer term? How do we get that down to even smaller campaigns than, you know, Senate and House that can maybe afford to have in-house staff doing these things? How do we make this accessible to even the smallest campaigns? I mean, that's a real. Final question, just to kind of add one more point. What's your advice to business folks out there? We had Moneyball up here, Billy Bean talked about how they use data, and I'll see that's a big book in the movie. I'll see Brad Pitt, but I'll see it's an example of competitive advantage. Here, your great use case in politics. A lot of business folks want to disrupt, they want to do things differently to make a difference for their business. As George Kedif pointed out, it's not just bottom line, it's like top line or revenue or impact. What's your advice to the business folks out there? You know, empower analysts.  But you've got to sort of break down those barriers so that they can start, you know, getting at the data, you know, looking across the entire universe of data rather than sort of being in their little, little sector. In their little cave or pen stand environment. Yeah. Well, we were in a cave, but it was, we liked it. Did you see the Billy Bean talk yesterday? Yeah. Were you there for that? Yeah. You know, when Michael Lewis' book first came out, I said, this Billy Bean's out of his mind sharing this information. Everybody says Copycat League, everybody's going to do the same thing, and I guess it's not like the NFL, John, right? Which is a Copycat League, because they've continued to succeed. What was notable is that it seems like the organizational friction in other teams has continued. Did you see that within the DNC? Was there sort of a faction that said, no, you got to have the political experience, the gut feels, the, and you even see that today when people are predicting elections, you know?  And, you know. It's a mandate, essentially. Yeah, and, you know, it's true. I mean, there is sort of in politics, it's a very traditional, I mean, and sort of what Billy Bean was saying did resonate because it was like, yeah, you know, you are dealing with sort of some very traditional ways of thinking about things and just saying, you know, trying to say, well, you know, you can look at it with data, and, but, you know, the reason we were so successful, I think, is because we had this organization aligned and where everybody was bought in. And I think that that's new, but sort of very exciting.  What are you talking about? You know, it's interesting to see that dichotomy now Nate Silver works for ESPN, and he deals, sorry, working for a social media company. Yeah, so I think if you can go, journalism is a good step to tech companies. So we'll see the world's changing. The Washington Post is bought by Bezos, and Boston Globe is bought by Red Sox owner. What the hell's going on in this world? So we'll see. All this great stuff, really kind of changing the landscape. Congratulations. Thank you. We're psyched to watch you guys because, one, we really believe that data's going to liberate and create disruptive innovation. You guys are a great example in politics where using and measuring data allows you to be more agile, more responsive, and more targeted, and more accurate, and more accountable. And I think businesses can learn from that. Congratulations. Chris, thanks for coming on theCUBE. Really appreciate it. This is SiliconANGLE, we've got us theCUBE extracting the signal from the noise. Not a lot of noise here, a lot of end users, a lot of heavy weights here, really doing some pioneering work. We'll be right back with our next guest after this short break.


In 2017, after splitting from her longtime partner, actress Jane Fonda got herself a bachelorette pad in Los Angeles. The former couple sold their eco-conscious Beverly Hills mansion and Jane picked herself up a massive Mediterranean-style townhouse for over $5 million, which is where she still currently lives. From mega mansions to a new Mexico ranch, Ms. Fonda's property collection is quite impressive, and today we're going to take a look. In these videos we don't reveal any addresses and even though I've done a house tour of my own place, please do not show up at any private residences because it's not safe for anyone. Jane Fonda is an actress, political activist and former fashion model who's received a handful of awards throughout her long-running career, from Academy Awards to Emmys to Lifetime Achievement Awards and more. Not to mention, the 84-year-old is still acting and you can catch her in the hit Netflix series Grace and Frankie since 2015. So what's the result of Jane spending about half a century on the big screen? She's worth an estimated $200 million and with that, she's owned luxury estates from a ranch with acres of land to contemporary California mansions and much more. Hey guys it's Kara the Vampire Slayer back with another exclusive house tour here on Famous Entertainment today looking at where Jane Fonda calls home. Don't forget to like, hit that subscribe button if you haven't yet and follow me over on Instagram to chat. Now let's get into this video. In 2017 after splitting from her longtime partner Richard Perry and offloading their Beverly Hills estate, Jane picked herself up her current home which serves as the ultimate breezy bachelorette pod. Located in Century City and neighborhood on the west side of Los Angeles, Jane's current three-level home could be considered humble for a Hollywood star like herself. The crib may be labeled as a town home but spanning 6,679 square feet of space it's more like a mansion. The actress' home is tucked away in a guard gated community and residents of the Century Woods complex have access to a variety of amenities such as a community clubhouse, tennis courts and indoor and outdoor swimming pools. Jane paid $5.45 million in cash for the 2015 built property and inside there are four beds and seven baths throughout. The exterior of the tall home is charming with stucco walls and terracotta roofs along with a fountain out front. Despite the large size of the place it's easily accessible thanks to the elevator which services all the floors. The airy and private courtyard out front leads into the entry hall and stairway where you'll also find the study as well as some of the common living spaces. The formal living room features a fireplace as well as a wood paneled ceiling and a gray and white color scheme and nearby there's a 12 person dining room. Jane's spacious kitchen and family room are open concept style and the kitchen is arranged around a large center island with snack bar while there's also an extra serving corner to entertain guests. The attached family room hosts plush couches and opens up to a shaded courtyard. Out on the cozy courtyard you'll find cream colored tiles that blend in well along with plenty of space to lounge. Jane's grand master suite is roomy with both a fireplace and vaulted ceilings as well as two walk-in closets and a large private balcony. Her ensuite bath is spa style with a glass shower and soaking tub. The house boasts a staff or guest room with bath on the main floor with two more on the second level all with their own balconies. Finally, there's an office media room on the third level that opens to a beautiful rooftop terrace perfect for checking out the views and taking in that California weather. All together, Jane's mansion-sized town home provides a light and airy atmosphere with comforting neutral colors and light woods throughout. Just before Jane bought her current century city home, she put her contemporary Beverly Hills estate up on the market. Following her split from Richard Perry with whom she shared the mansion, the former couple decided that they would let go of the property they lived in since 2012. Considering Jane and Richard spent $7.3 million on the home and finally sold it for about $8.5 million in 2018, they at least turned a slight profit. The eco-conscious crib was located in the trendy and expensive Trousdale estates. This neighborhood of Beverly Hills is a fancy community stuffed with fellow celebrities. Built in a modern style, Jane's former residence spanned 7,102 square feet of space with four beds and 6.5 baths throughout. In a video, Jane once said that she instantly knew the Beverly Hills abode was for her the second she drove through the gates and saw the sharp architectural design and shiny stainless steel garage doors. According to the actress, the home simply had taste. Another feature Jane lived inside this home was the kitchen, which opened through walls of glass to a terrace boasting amazing views. From there, you could see the canyon and the mountains, and the views reminded Jane of the Southern California setting she grew up in back in the late 30s and 40s. While the home was built in 1961, it had been majorly remodeled and stocked with updates since then, and the exteriors were decked out in wood siding with stone accents. It was set behind private gates on a lot, spending nearly an acre of land. And there were eco-friendly add-ons such as bamboo floors, bio ethanol fireplaces, UV thermal glass windows, and more. This stainless-deo front door opened up into the entry gallery, which had a dramatic all-glass elevator. I think that elevators seem to be a trend in Jane's properties. The home offered plenty of connected common spaces on the upper level, including a step-down living room with floor-to-ceiling stone fireplace and wall of windows. Jane's home also offered a dining room and a kitchen with walnut cabinets, fancy appliances, and much more. This space opened to a small and cozy den. Jane's one-time office was just off of this room, and it boasted built-in bookshelves and windows looking out to the peaceful wood. One of the guest bedrooms, if not more, had its own terrace.  The lower level of the crib offered hardwood flooring and a media lounge that looked like a music studio, also with a bar and a home gym. This space opened to the private backyard, where there was a covered outdoor lounge with plush furnishings, along with open terraces, and a meditation garden with fountain. This solar-heated swimming pool overlooked amazing scenery, and there was a nearby viewing platform with a fire pit to catch the best sunsets. Let's not forget that Jane also once owned a stunning ranch in New Mexico. Called the Forked Lightning Ranch, this was where the actress once went to escape the Hollywood bustle. She purchased the 1925-built ranch back in 2000 and renovated the property immensely, even building a Maine Spanish colonial-style Maine House dubbed the River House, which spanned over 9,500 square feet of space. She listed her beautiful ranch in 2015 for $19.5 million, and sold it in an off-market deal for an unknown amount. This unique property was full of character and sought on 2,300 acres of land just east of Santa Fe, right on the Picos River. It's actually next to Picos National Historical Park, and the property is the middle section of what used to be a 13,000-acre cattle ranch. When Jane got her hands on the sprawling property, the only house was a two-bedroom lock cabin where she lived for three years while constructing her custom family mansion. Jane said about her former ranch, the moment I stepped on the property, I knew it was home. Its sheer beauty made my hair stand on end. In the living room, Jane designed the space with a carved wood chandelier that resembled elk antlers, as well as a fireplace and a set of French doors. The dining room had towering wood-beamed ceilings like much of the common spaces, and another carved and rustic chandelier. The actress wanted to recreate the look of traditional New Mexico ranch homes, and it appears that she was successful, adding many of the classic features like adobe walls, a tin roof, antique doors, and more. The home boasted a handcrafted appearance and feel that also blended with modern features. Elsewhere in the house, there was an upstairs gallery with more antiques on display, and Jane's master suite with a headboard she designed herself, a sitting area with fireplace, more wood-beamed ceilings, and a vintage dressing room. So now we've taken a look at legendary actress Jane Fonda and three of her properties past and present. While each of the estates were completely different, we can tell she is quite the eye for real estate and design. Even downsizing to what's dubbed a townhome is still a stylish mansion-sized abode in the heart of LA. Out of the three properties, which did you like best? Personally, I'm a fan of that New Mexico ranch. The design was so thoughtful and unique, and it also seemed to be the most warm and welcoming out of the three, but that's just me. Be sure to let me know your thoughts on her homes down in the comments. Thanks for watching. Don't forget to give me a follow on Instagram and tell me which celebrity homes we should look at next. I'll see you all in the next video. Bye.