UrmaBlume

I attended a conference with their development staff almost 4 months ago and they let us know about the time stamping etc. We have almost changed to Neo-Ticker several times over these issues but we have been assured that all will be implemented over the next few months. We have a huge body of code in EL and have been loath to move, now it looks like we wont have to.

We developed this indicator and all of our traders use it every day, in fact we have 2 different versions of it and they use both. The HUGE CAVEAT with this indicator is that it can give the signal of a reversal when it is really a signal of continuation. The good news is that with the proper filters based on order flow and the balance of trade it becomes easy to tell which is which. Without such filters or other corroboration its use can be very problematic. cheers UB

As long term users of Trade Station we find great value in that these objects will finally replace the POS Trade Manager. Finally objects that represent a true/real order management protocol for use within EL for the development of automated systems. The only place I can see where these particular objects will be of hlep to the point and click traders is that finally stops can be made to be persistent. Finally it looks like TS is not only catching up but maybe playing a little leap-frog. Of most importance to us in the new TS 9 are the millisecond time stamping, test inside the bars for volume charts and of course the new order management objects for EL. About time TS.

Wow. TS 9 with millisecond time stamping, orders as smart objects, inside the bar testing for volume and tick bars plus this new gear and it becomes a virtual bot factory. I have been in conversations with the development team and have been waiting for these updates for over a year.

Our traders focus on different information from different indicators, markets and time frames to make their trade decisions. As their trades are of higher than average intra-session frequency it helps for their "muscle memory" to know where each bit of information is located so we use more separate monitors rather than changing pictures on fewer screens. All of our traders have at least 8 screens and the stars run 12 as shown below: Good Luck

A fast trading scalper makes 50 round trips per day and wants to look at a monht's trading in UTA. Must the trade data for each of these 1,000 + trades be entered manually? Does UTA read raw trade data exported from any of the most popular trading packages? In additiion to a list of trades, Periodical Returns, and performance graphs, below is a list of fields where data is returned for total trades, long trades and short trades for users of Trade Station. All of these reports are available at a click for any time period The question here is does UTA present any data not represented here and if so what and what is it's value? All of these trading stats are free and are available with just a couple of clicks in many packages. What is the cost of UTA?

WOW, I had no idea. Thanks. From the site it looks like it is up and running - for sure I will give it a try. Closer to me is a killer tapas joint. cheers

Dave, Sorry I didn't get to answer these earlier but we did some maintenance and lost some intensity data. However, over the last hours the market has posted an example of exactly what you are looking for. In the first chart you can see thee nite session BUY spikes in a down market. In the second chart of that same period you can see that the agents more heavily weighted sell information from the other inputs and gave nothing but sell signals all the way down in spite of the buys from intensity. I have said again and again that intensity by itself wont get you there. What will are the intelligent agents that value/weight intensity in each particular instance against several dozen other inputs and are the topic of this thread. Three Buy Spikes in a down market: Nothing but sell signals in spite of the buy spikes in intensity cheers UrmaBlume

Not a bad idea, but for me, it has been so long since I was in Austin, I would happily settle for the original Salt Lick. Last time I was there they only had the one location. cheers

In our work we find the processing power and memory to be the the prime consideration as our work requires many levels of processing and graphics driven by dumb data are not much help. With the aid of the Ergotron stands we fit 8 monitors on a 5' table and 12 on a 7' table.

Chris, We have been lucky with the heat again this year in that it has been a bit late in coming. Tomorrow will probably start full time AC and over the next week our first 100+ days. It is starting to get busy again in Vegas and what with the new super joints at the new City Center - Vegas feels like Vegas. cheers

Dude, All due respect but this thread was started to discuss the practical application of intelligent agents as it was manifested during one particular session's trade. Don't you think your 6 posts to this thread and others over the last few days is a bit excessive? None of those posts offered the slightest bit of positive or constructive input and all were off-topic, personal and very negative in tone. Kind of like a stalker. Some here are trying to have an on-topic discussion so I for one would humbly ask you to describe and demonstrate any comprable work of your own creation in the same level of detail as is in the text below: Such a contribution would be much more positive to the tone and content of this thread and indeed the whole board than your perpetual off-topic, personal, bashing and stalking of the threads I start. cheers ecubru; The first difference between your chart and the one displayed below is that the bottom 2 sub-graphs on ours have price as NO part of their calculation. By far the most heavily weighted inputs to our trade decision making process are those that have to do with the balance, velocity and acceleration/deceleration of those trades that we classify as comming from commercial speculative trade. The process of the construction of the chart shown below is: The signals on the chart specifically the text that recommends precise TradePoints or No Trade are the product of several layers of processing. The first layer gathers data from seven different time frames, posts it to global variables, and uses some of it to form an index of weighted biases as described in this thread. Other of these variables are then passed as inputs to a set of intelligent agents that range from genetically optimized neural networks, functions producted by MARS (Multivariate Adaptive Regression Splines) and CART which is "a robust, easy-to-use decision tree that automatically sifts large, complex databases, searching for and isolating significant patterns and relationships." Both MARS and CART are products of Salford systems and some of the easiest to use tools for the development of intelligent agents that we have ever found. We have developed a tool in house that can convert the functions from MARS to Easy Language and can put a newly developed model on line and producing the Trade Points you see on the charts in a very short time. This entire process is described in this thread.. While price is considered, the bulk of our decision making process is based on various measures of what we call commercial speculation. We first measure our calculation of time-of-day normalized commercial presence. This tells us that at this time of day the commercial precence is some percentage of what it normally is at that same time of day over the previous 72 market days. If that percentage is less than a certain number we do mean reversion trading, if that percentage is over a certain percentage then the trend following methods shown on the chart below are shown. We also measure the percentage of time-of-day normalized commercial speculative bias in those 7 same time frames. We think in terms of portfolios of both methods and time frames for each instrument we trade. Some of our indicators indicate trade and some indicate method or time frame. Some of these indicators of commercial presence for both method and time frame can also be used for instrument selection. For example if the S&P is only trading at 70% of normal commercial presence then it is for sure that smart money has found at least a couple of stocks in the S&P that are trading at 200% of normal commercial presence that is where the action will be on that day in that index. There are many ways to evaluate the price volume relationship, implement VSA, follow Wyckhoff or implement the Market Profile. The notes above roughly describe how we input and process the concepts and information from all of the above to output the precise TradePoints on the chart below. All of the indicators on the chart below are calculated in real time and the TradePoints and text recommendations are posted at the first tick of the bar and are updated every tick. The small red dots are stops, blue are scalp profit targes the + is a recommended entry price for that bar. The recommendations are for the last bar on the chart. cheers UrmaBlume

Chris, Nice post. While this thread was started to discuss Inelligent Agents, certainly we use intensity as one of the inputs to those agents. Whether the process is automated or not, the point you make is correct in that the proper weighting/filtering and verification to eliminate trades based on false spikes does indeed facillitate the use of this indicator as an input to almost any trading protocol. While you use your readings from Cumulative Market Delta for this filtering, we use outputs from intelligent agents that have already weighted intensity as an input against the weights of a couple of dozen other inputs from other time frames. We have said time and time again that intensity alone is never enough to trigger a trade. cheers pat

Thanks Tams. How completely right on and how very well said. So very similar in tone, content and intent is that post to others of its ilk. cheers UB

Boomerangas, I have suggested before that you not over-focus on measures of intensity. We would never take a trade based only on measures of intensity or acceleration/deceleration inputs alone. Our process includes 28 inputs each confirming others and our measures of intensity are far from the most heavily weighted inputs. Also we would never trade on price or intensity alone. Of those 28 inputs, price is only 2. cheers

Dog, Thanks so much for the very kind words. A real treat these days. And thanks for buying my book and thanks for the quote. Every author loves a quote. Game Theory: "Expressed in the specific terminology of advanced theorists, poker (TRADING) can be defined as an asynchronous, non-cooperative, constant-sum (zero-sum), dynamic game of mixed strategies. While the game is played in an atmosphere of common knowledge and no player possesses complete knowledge, some players are better able to process this common knowledge into a more complete knowledge than are their opponents" -Pat Dittmar, "Practical Poker Math" cheers pat

Nate, In answer to your first query "what tick database are you using" I assume your are talking about which data vendor, not the dbms itself. In any case I will answer both. For our data feeds we use both E-Signal and TradeStation. Our analysis process puts this data into several of our own databases that make the data available to our trading platforms via dll. The database we use is one of the new open source dbms called SQLMaestro. As to Swarm Intelligence, thank you for the suggestion but we are aware of the swarmed agent approach and find the cascade approach offers us a higher degree of efficacy. We understand entrophy analysis and have used it to detect "changes" in both price and the balance of commercial trade. Thank you for the suggestion. Also may I thank you for your most eloquent and well written expression of on-topic, non-personal constructive criticism? I would humbly ask that you describe and demonstrate any comprable work of your own creation in the same level of detail as is in the text below: ecubru; The first difference between your chart and the one displayed below is that the bottom 2 sub-graphs on ours have price as NO part of their calculation. By far the most heavily weighted inputs to our trade decision making process are those that have to do with the balance, velocity and acceleration/deceleration of those trades that we classify as comming from commercial speculative trade. The process of the construction of the chart shown below is: The signals on the chart specifically the text that recommends precise TradePoints or No Trade are the product of several layers of processing. The first layer gathers data from seven different time frames, posts it to global variables, and uses some of it to form an index of weighted biases as described in this thread. Other of these variables are then passed as inputs to a set of intelligent agents that range from genetically optimized neural networks, functions producted by MARS (Multivariate Adaptive Regression Splines) and CART which is "a robust, easy-to-use decision tree that automatically sifts large, complex databases, searching for and isolating significant patterns and relationships." Both MARS and CART are products of Salford systems and some of the easiest to use tools for the development of intelligent agents that we have ever found. We have developed a tool in house that can convert the functions from MARS to Easy Language and can put a newly developed model on line and producing the Trade Points you see on the charts in a very short time. This entire process is described in this thread.. While price is considered, the bulk of our decision making process is based on various measures of what we call commercial speculation. We first measure our calculation of time-of-day normalized commercial presence. This tells us that at this time of day the commercial precence is some percentage of what it normally is at that same time of day over the previous 72 market days. If that percentage is less than a certain number we do mean reversion trading, if that percentage is over a certain percentage then the trend following methods shown on the chart below are shown. We also measure the percentage of time-of-day normalized commercial speculative bias in those 7 same time frames. We think in terms of portfolios of both methods and time frames for each instrument we trade. Some of our indicators indicate trade and some indicate method or time frame. Some of these indicators of commercial presence for both method and time frame can also be used for instrument selection. For example if the S&P is only trading at 70% of normal commercial presence then it is for sure that smart money has found at least a couple of stocks in the S&P that are trading at 200% of normal commercial presence that is where the action will be on that day in that index. There are many ways to evaluate the price volume relationship, implement VSA, follow Wyckhoff or implement the Market Profile. The notes above roughly describe how we input and process the concepts and information from all of the above to output the precise TradePoints on the chart below. All of the indicators on the chart below are calculated in real time and the TradePoints and text recommendations are posted at the first tick of the bar and are updated every tick. The small red dots are stops, blue are scalp profit targes the + is a recommended entry price for that bar. The recommendations are for the last bar on the chart. cheers UrmaBlume

ecubru; The first difference between your chart and the one displayed below is that the bottom 2 sub-graphs on ours have price as NO part of their calculation. By far the most heavily weighted inputs to our trade decision making process are those that have to do with the balance, velocity and acceleration/deceleration of those trades that we classify as comming from commercial speculative trade. The process of the construction of the chart shown below is: The signals on the chart specifically the text that recommends precise TradePoints or No Trade are the product of several layers of processing. The first layer gathers data from seven different time frames, posts it to global variables, and uses some of it to form an index of weighted biases as described in this thread. Other of these variables are then passed as inputs to a set of intelligent agents that range from genetically optimized neural networks, functions producted by MARS (Multivariate Adaptive Regression Splines) and CART which is "a robust, easy-to-use decision tree that automatically sifts large, complex databases, searching for and isolating significant patterns and relationships." Both MARS and CART are products of Salford systems and some of the easiest to use tools for the development of intelligent agents that we have ever found. We have developed a tool in house that can convert the functions from MARS to Easy Language and can put a newly developed model on line and producing the Trade Points you see on the charts in a very short time. This entire process is described in this thread.. While price is considered, the bulk of our decision making process is based on various measures of what we call commercial speculation. We first measure our calculation of time-of-day normalized commercial presence. This tells us that at this time of day the commercial precence is some percentage of what it normally is at that same time of day over the previous 72 market days. If that percentage is less than a certain number we do mean reversion trading, if that percentage is over a certain percentage then the trend following methods shown on the chart below are shown. We also measure the percentage of time-of-day normalized commercial speculative bias in those 7 same time frames. We think in terms of portfolios of both methods and time frames for each instrument we trade. Some of our indicators indicate trade and some indicate method or time frame. Some of these indicators of commercial presence for both method and time frame can also be used for instrument selection. For example if the S&P is only trading at 70% of normal commercial presence then it is for sure that smart money has found at least a couple of stocks in the S&P that are trading at 200% of normal commercial presence that is where the action will be on that day in that index. There are many ways to evaluate the price volume relationship, implement VSA, follow Wyckhoff or implement the Market Profile. The notes above roughly describe how we input and process the concepts and information from all of the above to output the precise TradePoints on the chart below. All of the indicators on the chart below are calculated in real time and the TradePoints and text recommendations are posted at the first tick of the bar and are updated every tick. The small red dots are stops, blue are scalp profit targes the + is a recommended entry price for that bar. The recommendations are for the last bar on the chart. Cheers

There are many, many hardware solutions to trading this is one of ours. Below are shots from one of what we call our "mini-pits" and the desk from which the remote "mini-pits" are monitored. Each of the stations is a Dell Workstation with a quad-core chip and 8 gigs of RAM running Windows 7 driving 8 19" flat monitors. For the internet conncections the LAN here has dual 50 mps cable modems and a 6 mps DSL all feeding into a fault tolerant, load sharing and load balancing router with three input slots. All of the traders regardless of location conference for the entire session via Skype and a Polycom device. This setup includes 4 stations and the machines are placed so the traders cannot easily see the others setups. The idea is that regardless of market all of the traders make their trades alone and then when the session is over they all review each other trades. Trade Alone - Learn Together. With account linking all of the trades by all of the traders, regardless of location, can be seen in real-time, on charts on these 12 monitors from this control station. This other perspecitve of the desks shows a glimpse of the Ergotron monitor stands. Security is important in any trading operation. Here is our head of security and his assistant. All of our traders are poker players and here is a shot of some of our plaques for 1st place finishes in some of the small, local poker tournaments here in Vegas. cheers UB

You might notice that I have been publicly thanked 403 times for my posts. I receive almost daily emails and pms thanking me and congratulating my on the same work you suddenly find worthless after you pestered me to buy it and show you how to build your own. Some get a lot from my posts, some get a little bit and some don't get it at all. BTW from what you showed me of your work, it in no way resembles the work we are doing. But you already know that because I told you that almost a month ago. UrmaBlume

Spam is when you are selling something, right? You will notice I turned down these offers to buy as well as more than 100 others and have never sold or leased the technolgoies discussed in these threads to anyone. cheers

I agree but given the the situation where there is a huge spread between what they tell me and what they post in public, I think the public's right to know the truth trumps the duplicitous posters' protection. I certainly don't mind if they post my replies.

At 1041 PST Today 05/26 on a failure to make a new high, intense commercial selling formed a spike that formed a local extreme that would see the market fall over 20 points to new session lows. That spike is shown in the first chart below. Following the graph of the sell spike are 3 shots of the HUD taken during the next 2 hours of decline that show recommended TradePoints in 7 intra session time frames. The chart below the HUD shots is of a smaller time frame and shows how our intelligent agents use inputs from measure of intensity and balance of trade to provide real time trade recommendations. The last graph shows the buy spike in commercial intensity than ended our short and gave us a short term long that was good for almost 8 points and we closed out for the day. These graphs show the power of the synergy that can come from using inputs from old-school technical analysis into state of the art intelligent agents and networks of agents. This first graph shows the sell spike that started it all: These three shots of the HUD reflect market conditions and show specific trade recommendations on the way down This graph shows how agents operating in the shorter time frames parse legs in both directions These 2 graphs show the buy spike that ended our short and gave us one last trade on the long side to end the day

You can form a pool which is really just a trading account and if you don't advertise yourself as a money manager and if there are less that 14 members and less than $400,000 dollars under management you can go on line with the CFTC and file an exemption and you will be legal. Filing the exemption is quick and easy and free. The last one of these that we did we formed an LLC registered in Nevada and registered the exemption with the CFTC. Whether you form the LLC or not you will want to create an operating agreement that makes a statement of the risk involved, provides for liquidation, lays out your share of the profits and how and when they will be paid and has the invester sign that he understands the risks and authorizes you to make the trades. Legal, easy and inexpensive and you are on your way. Good Luck cheers UrmaBlume

I started this thread and this thread to discuss the practical application of intelligent/predictive agents in trading. While I was expecting the replies/discussion to be about neural networks, genetic optimizations and the like - No such posts, zero. While I would believe that less than 1% of the members here understand and deploy such technologies in their trading, I thought there would be more interest by some in learning how they might add this higher level of processing to their work. As to the bashing and the stalking - that's just what happens when you take people outside their comfort zone and what separates the ones we think about helping or hiring and the ones we don't. UrmaBlume