Submitted by Richard on Thu, 09/01/2016 - 07:13
I am an independent Information Technology consultant providing design, build, engineering and programming services for AWS hosted linux platforms. I have extensive experience in the design and operation of platforms for quantative financial analysis using external data feeds such as Markit or Factset as well as LAMP-stack web hosting.
I have more then 10 years experience in python and mySQL specializing in quantatitive finance. I have been an active user of the pandas library for quants for over 5 years. As well, I can provide support for users of Quantopian's offline open source zipline back tester facility.
If your business - especially startups - is located in Michigan's Oakland County Automation Alley , please send me a mail for networking purposes so we can get to know each other.
In my blog I write about my experiences with Arduino, classic stereo equipment , and the web hosting business of Daily Fantasy Sports .
For more information on services or availability please Contact Me .
Submitted by Richard on Thu, 10/26/2017 - 07:30
I found this online course to be interesting, challenging, practical and it gave me some fresh ideas about problem solving using numerical methods.
What I liked most:
1) The lecture videos directly tied into the programming exercises. You had a chance to directly try out what you just learned by programming it.
2) The automatic scoring/review of your programming assignments with the submit script was a great way to get instant feedback.
3) I was never bored listening to Andrew talk. He worked very hard in making this material.
Submitted by Richard on Sun, 02/05/2017 - 08:00
IHS Markit is one of the premium data providers for quants around the globe. One of the mechanism that this data can be accessed is via an Excel plug-in.
An interesting problem can arise with any asynchronous plug-in (not just Markit) that can lead to Excel spreadsheets not loading correctly or recalcuations that never complete. Let's explore the situation that I encountered !
Submitted by Richard on Sun, 05/17/2015 - 11:33
In this series, we used the open source spearmint optimizer to select optimal tuning parameters for a quantopian zipline trading algorithm.
Read more for conclusions and next steps.
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