Howard Getson | Chief Executive Officer
Capitalogix Trading

Howard Getson, Chief Executive Officer, Capitalogix Trading

Howard runs a hedge fund - and the data science company that powers it.  

Capitalogix created a revolutionary financial technology platform that uses Adaptive A. I. to maximize performance with real-time insights.

While most high-frequency trading focuses on using technology to make thousands of transactions in a short period of time, our technology performs millions of observations and only acts on the opportunities determined most likely to have an edge.

Howard served seven terms on the Board of the Entrepreneurs’ Organization (“EO”) in Dallas.  He also served on the EO International Board of Directors.  His prior software company was an Inc 500 company.

Howard has a Psychology and Philosophy degree from Duke University and an MBA and JD from Northwestern University.

He lives in Dallas with his wife and four dogs.


Quant World Canada @ 11:00

Data sweet spot – how are you finding, evaluating and applying ‘edgeworthy' alternative data sources?

  • Investing in the right datasets – how do you evaluate which data sets are worth adopting in the face of high fees and uncertain value?
  • IT & talent requirements for value extraction – what technology and human capital capabilities do you need in place to effectively analyze the data and realize its value within a reasonable time horizon?
  • Comparing source, speed & edge – real-time market data, historical market data, macroeconomic data, public/private company data, alternative data
  • Alternative data, alternative use cases – what other applications may exist for alt data sets outside of alpha generation?
  • Other nascent data applications – do you see any immediate or future value for trading firms and fund managers in data from nanosatellites, drone imagery and Internet of Things?

Quant World Canada @ 14:10

Market structure, execution, liquidity & regulation – what’s on the minds of Canadian traders and investors heading into 2018?

  • Dark pools, block trading & execution strategy – deploying algorithms in both dark and lit venues to locate the best price with minimal price leakage
  • Rising trading costs – how have recent changes in Canadian equity market structure impacted institutional trading costs?
  • Centralized, multi-asset execution – is simplification on the sell-side or having a single execution provider the answer to navigating asset classes and changing regulatory requirements?
  • Institutional vs. technical – how do execution needs differ between trading styles?
  • TCA & analytics – real-time analytics solutions to improve order routing and enhance execution quality
  • Broker innovation – how are savvy brokers evolving strategies and differentiate algorithms to meet buy-side demands?
last published: 18/Dec/18 18:15 GMT

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