Trading Show NYC Agenda Oct 6
I must admit this could be the strongest lineup yet. Focus on automated trading with all the right people
http://www.terrapinn.com/conference/the-trading-show-new-york/agenda.stm
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NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!
25 March
MATLAB Virtual Conference 2015 is a free online event featuring live sessions on MATLAB and Simulink by experts from around the world.
Register
The conference features two keynote presentations. In the first, I will discuss the technologies driving change in the way engineers and scientists work. In the second, Edward Byrns of MunichRe Weather and Commodity Advisors will talk about the reinsurance company’s use of MATLAB to enable complex weather and commodity trades and support market and quantitative research.
Following the keynotes, you’ll find sessions from MathWorks experts and industry users on a range of topics, including:
• How data analytics leads to greater insights and better business decisions
• How to develop effective analytics using MATLAB, and integrate them into business systems
• How MathWorks customers successfully use MATLAB to build and deploy analytical models
MATLAB Virtual Conference 2015 Preview
See what you can expect at this year’s conference.
Participating Partners
• COMSOL
• EUtech
• Polarion Software
• United Electronic Industries
http://www.mathworks.com/videos/matlab-virtual-conference-2015-preview-99654.html
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NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!Questions and AGENDA for LIVE Meetup for Which C++ would you use for your number crunching high speed HFT aka high frequency trading?
LIVE MONDAY Dec 22 at 7PM Eastern Standard via GotoMeeting
1. Please join my meeting, December 22, 2014 at 7:00 PM Eastern Standard Time.
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Dial +1 (872) 240-3412
Access Code: 717-088-213
Audio PIN: Shown after joining the meeting
Meeting ID: 717-088-213
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Honestly, this gets confusing. Which compiler? Which library/API? Which parallel approach? Which Linux distribution? To .NET or .NOT? Hmmm….let’s talk
Here they are:
1. Who is using C++ for their high speed trading system? What functions within your system?
2. What parts of Boost library are you using and for what purpose?
3. Who still believes in STL? Anyone using C structures or even pointers? How do you handle memory management in an efficient manner?
4. What compilers do you use? Anyone using Visual Studio C++ compiler? Anyone using Intel for speed boost? How about Borland? Anyone preferring GCC/G++? Compatibility issues?
5. What sort of integrated development environment do you use for non Windows? Mac? Linux?
For advanced Higher Frequency Trading (HFT) techniques:
6. Anyone doing any heavy threading/multi concurrency? Which libraries do you use? Fastflow? TBB? OpenMP?
7. For high frequency trading uses: Anyone using any interesting low level techniques for ‘hooking’ into the operating system like the Linux kernel? Low level driver or assembly translation techniques?
8. Anyone using working with brokers within C or C++? i.e. HFT Lime Brokers? Experiences to share?
9. Is there a definitive argument or experience for those that think Java is still get faster performance vs C/C++? What techniques?
10. Anyone using C++ or C for an in memory database for rolling their own solution to handle efficiency of market data ticks? Any techniques to be shared that shows advantages of other solutions (i.e. NOSQL Redis)?
11. Anyone choosing to deploy C or C++ embedded solutions for hardware only options via FPGA or ASIC?
12. Anyone else want to share techniques for HFT purposes that might be known in the public domain?
13. Open ended discussion with full Q&A
More details at:
NOTE: As these topics can be considered ‘trade secrets’, this will NOT be shared in the public domain. It will only be available to my Quant Elite members who are unable to attend this for on video playback basis.
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NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!Welcome to 2013. Two important dates are fast approaching:
Youtube video on welcoming you to 2013. our agenda for HFT, quant, Matlab, and maybe be even a fund
Be on my FREE newsletter when I am ready to do all these things!
NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!Youtube video on the details and agenda of my upcoming How To Build a HFT High Frequency trading platform and quant development. To be posted next week!
I have finished the course videos and material on my upcoming ‘How to Build a HFT platform’ course. In this video, I talk about the details of this course on building a HFT platform. The course will be about 1.5 – 2 hours of videos which will be posted in the QuantLabs.net membership area. I may increase the price for this membership so get it while it is affordable this week. There are other goodies in it as well. Now I start developing the other course of QuantLib.
NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!
What next on the agenda for my learning with Matlab for quant development?
After reading this Demystifying Matlab, I started to understand Matlab’s command line set while learning some basic math concepts. I still have a major uphill in learning advanced math concepts but I am quite comfortable in how Matlab works on the command line front.
So what is next up for my Matlab learning? I need to figure out these different toolboxes which are an important integral part of Matlab. That of course includes derivative, risk, equity, data feeds, statistical, and others. The version I managed to ‘get’ includes all these so I should get comfortable pretty quickly.
Also, I understand in how these scripts are written. It is no different than any other programming language like C# or C++. The one thing I am very attracted to is the capability in how Matlab can export any script into a C++ program. I say that is so cool. You could also especially learn the C++ end of things when you start screwing around with the math and algorithmic front of things. This is the ultimate in learning. At the same time, this is what the investment banking industry using to. Again, that is building my confidence that Matlab is the way to go in learning about quant based concepts and technologies.
As it stands, my next priorities are becoming how these toolkits work as well as how Matlab can export its scripts to C++. If you are overwhelmed on the different technology choices, I would only recommend learning Matlab as that seems to be the glue between your front technologies of learning VBA and Microsoft Excel. Matlab can integrate with it as well export your scripts into C++
The other important advantage Matlab brings to the table is that there versions for all the major operating systems including Windows, Linux, and Mac OS/X. How cool is that?
