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11th Python for Quant Finance Meetup

Dear Python Quants,

We are up for our next meetup event in Canary Wharf hosted by Thomson Reuters. We just surpassed 1,200 members in our group and I am happy to see that Python still sees so much interest in the financial industry.

The agenda so far:

I. Operating on Encrypted Data Using ZeroDB

MacLane Wilkison

ZeroDB is an open-source end-to-end encrypted database that lets users search, sort, query, and share encrypted data. It can be used by software developers to easily write end-to-end encrypted applications and by enterprises to securely outsource databases to the cloud. GitHub repo: https://github.com/zero-db/zerodb Docs: http://docs.zerodb.io/

II. Combining Multivariate Time Series and Derivatives Analytics

Yves Hilpisch

This talk uses R for multivariate vector auto regression and forecasts parameters of a derivatives pricing model. The forecast results are then used to in turn generate forecasts for the price of a non-traded derivatives instrument using Python & http://dx-analytics.com.

Hope to see you all!

Best,

Yves

P.S. Remember that you can only get entrance at the building when you provide both your FIRST and LAST name on the meetup page.

Join or login to comment.

  • Yves H.

    It took a while, but the recordings of the three talks of our 11th meetup event are now available:

    https://www.youtube.com/channel/UCSwSD4MeOxb-29ezJi39Xgw

    March 30

  • Yves H.

    2 · February 15, 2016

  • Ujwal P S.

    Yves enjoyed your VAR presentation. Would you mind sharing the link to your presentation.

    February 15, 2016

  • Nico

    Complete name: Nico Buson

    February 15, 2016

    • Peter T

      Petr Tikilyaynen

      February 15, 2016

  • Rob C.

    Un RSVPIng too, I'd be interested to know who is using zerodb commercially

    February 15, 2016

    • A former member
      A former member

      Most of the commercial interest in ZeroDB at the moment is around record retention/data archiving. FIs are using it to transition physical tape infrastructures to encrypted, queryable cloud-based alternatives (e.g., in AWS Glacier/Google Nearline/etc.).

      February 15, 2016

    • A former member
      A former member

      There are more use cases, but that is the most immediate one in the enterprise as we work on scalability/perfomance and making it more appropriate for use as a generalized db.

      February 15, 2016

  • Mateusz D.

    My apologies for un-RSVPing so late, I hope someone will be able to take up my slot.

    February 15, 2016

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