Tag Archives: Next Level

Very impressive MATLAB 2016a features to next level

Very impressive MATLAB 2016a features to next level

This thing gets better and better from a innovation POV

http://www.mathworks.com/products/new_products/latest_features.html?s_tid=hp_spot_R2016a_0316

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HOW DO YOU START A PROFITABLE TRADING BUSINESS? Read more NOW >>>

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!

Are you ready for the next level experience of MATLAB’s profit potential?

Hi there

With an enlightening webinar this week on Matlab’s latest features, we must not forget its capabilities of code generating FPGA code in HDL. We just need to choose the right FPGA board manufacturer being Altera or Xilinx. That is just one option. Don’t forget we can parallelize in Microsoft .NET applications when calling Matlab extended source code. Confused? Let’s just put it  this way, my community and I are already on it in finding the best way to optimize Matlab’s trading capabilities and potential. You should join us to reap the rewards:

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Is FPGA still the best HFT option for small time day trader? Lowest latency?

https://quantlabs.net/blog/2013/04/is-fpga-still-the-best-hft-option-for-small-time-day-trader-lowest-latency/

Finally getting back to reading about Matlab Simulink, Stateflow, etc for quant, HFT and trading potential

https://quantlabs.net/blog/2013/04/finally-getting-back-to-reading-about-matlab-simulink-stateflow-etc-for-quant-hft-and-trading-potential/

We have so many small projects and items where you should reap the many rewards. I already posted dozens of video source walkthroughs of all profitable ways to use Matlab and it vast number toolboxes. I am already thinking of ways to implement these ideas in coming weeks. This includes Simulink and Stateflow demos.
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Here are some benefits of our the QuantLabs.Net  Premium Membership.

Thanks for reading,

Bryan

HOW DO YOU START A PROFITABLE TRADING BUSINESS? Read more NOW >>>

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!

Taking In-Memory NoSQL to the Next Level in the world of quant development

Taking In-Memory NoSQL to the Next Level in the world of quant development

 

 

ell, the main differences I see are: (1) this is an in-memory NoSQL, much faster than any other SQL/NoSQL alternatives (i.e. Redis can reach 300K ops/sec with pipelining per EC2 node); (2) this is provided as a service, so users don’t need to deal with nodes and clusters (and of course no download and install), but rather just to specify how much memory their application needs (which can also be infinite)

 

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Take a look at our Cacheonix if you are really after speed. Cacheonix co-locates partitions and provides a coherent local front cache so most of the time you will be reading from memory instead of paying for network access with latency. Full disclosure: I work for Cacheonix.

 

Nice solution but dedicated for Java apps; and also not provided as a service. As for the latency issue, the way this is solved with Redis is by introducing pipelining. Pipeline allows you to send multiple requests on a given connections without forcing you to wait for a response of the perviously sent request (see more http://redis.io/topics/pipelining). So the network latency per request is now divided by the number of requests you sent in your pipeline. And therefore, In a well designed applications, this network latency is actually neglected.

 

Cacheonix does ‘pipelining’ in the core.

 

HOW DO YOU START A PROFITABLE TRADING BUSINESS? Read more NOW >>>

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!