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A quant member’s view of how Matlab Simulink increases trading success vs a fanboy with Tradestation Multicharts or Metatrader

(Last Updated On: March 18, 2013)

A quant member’s view of how Matlab Simulink increases trading success vs a fanboy with Tradestation Multicharts or Metatrader

This conversation was influenced by:

https://quantlabs.net/blog/2013/03/is-nzmq-the-best-open-source-project-for-zeromq-with-microsoft-dotnet-and-csharp-ultimate-in-message-queuing-for-hft/

Don’t forget that “fitness” runs along more than just one dimension for best results in constrained optimization. High frequency runs from intra-second to intra day trading. Frequency of volume peak will become much lower when transaction taxes kick in, which are greater than exchange fees and broker commissions.

Thanks. This is quite true the way the Europeans have operated in the last few days with taxes on your deposits. I am sure the financial community will figure workarounds to get around things you mention.

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Therefore, being able to use a choice of libraries and techniques for linking legacy platforms like TradeStation or MultiCharts to established legacy traders with their legacy trading software for purpose of linking the eventual product, the C++ and C code math modules from matlab and Simulink is a key to widest market interest, and fastest adoption by more than just a fanboy’s niche at one time.

The probability of success follows a power law with respect to width/size of adoption in more than one dimension.

Nicely said

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