The AI Quant

Dr Yves J Hilpisch

Yves Hilpisch

Rathausstrasse 75-79 | 66333 Voelklingen | Germany
S yves.hilpisch | E contact [at] dyjh [dot] de | @dyjh

This Web site is maintained by The Python Quants GmbH. Read the Imprint.

The AI Quant

Yves Quant Insights

I am founder and CEO of
The AI Machine & The Python Quants.

I have a Ph.D. in Mathematical Finance.

I am lecturer at the CQF Program and director of the
Certificate Program in Python for Algorithmic Trading.

I am author of the books Python for Finance (2nd ed.),
Derivatives Analytics with Python and Listed Volatility & Variance Derivatives.

I am organizer of the Python for Quant Finance Meetup Group in London.

My Professional Highlights 2018


The AI Machine

Standardized deployment of AI-based algorithmic trading strategies.
Visit also the company's Web site http://aimachine.io.

The AI Machine

The Python Quants Group

Open source for financial data science, artificial intelligence, algorithmic trading & computational finance. Visit also our group's Web site http://tpq.io.

The Python Quants

Award-Winning Analytics

The Python Quants named Top 10 Banking Analytics Solution Provider
of 2017 by Banking CIO Outlook magazine.

Python for Algorithmic Trading

Check out our Certificate Program in Python for Algorithmic Trading.

Certificate Brochure

My 7 min Take on Python for Quant Finance



My 2 Page Overview of Python for Computional Finance

Follow Me on @dyjh

DataFramed [Podcast]
Data Science in Finance

TalkPython['Podcast']
Python in Finance

Links to the Main Sections

  1. Most Recent Talks
  2. Python & Finance Books
  3. Python & Finance Talks
  4. The Python Quants
  5. Other Resources

Most Recent Talks

Most recent talks (I)

Most recent talks (II)

Most recent talks (III)

Most recent talks (IV)

Most recent talks (V)


Most recent talks (VI)


Most recent talks (VII)


Most recent talks (VIII)

  • Bitcoin and Blockchain — Opening the Black Box with Python (Slides)
    Quant Insights London, 14. October 2016
  • Hashing, Encryption, Blockchain & Bitcoin Mining with Python (YouTube)


  • Machine Learning with Python for Algorithmic Trading (Slides, Code)
    ODSC Conference, London, 08. October 2016
  • Python for Risk Management Tutorial (Github Repo)
    ARPM Python Conference, New York, 13. August 2016

Most recent talks (IX)


Most recent talks (X)

Python & Finance Books

Python for Finance

Mastering Data-Driven Finance.

Python for Finance

My best-selling book, now as 2nd edition.
Visit the book's page to learn more.

Derivatives Analytics with Python


Data Analysis, Models, Calibration, Simulation and Hedging.

Derivatives Analytics with Python

My book about derivatives analytics with Python.
Visit the book's page to learn more.

Listed Volatility and Variance Derivatives

A Python-based Guide

Listed Volatility and Variance Derivativs

My new book coming out soon.
Visit the book's page to learn more.

Python & Finance Talks

Python & Finance Talks in 2015 (I)

Python & Finance Talks in 2015 (II)

Global Big Data Conference (01. to 03.09.2015) in Santa Clara, CA.
Big Data and Data Science in the Browser (Slides & Demo Video).


Python & Finance Talks in 2015 (III)

PyData (19. to 21.06.2015) in London.
Financial Time Series Analysis & Visualization tutorial
(Github repo | Video).

Python & Finance Talks in 2015 (IV)

Python & Finance Talks in 2015 (V)

Python & Finance Talks in 2015 (VI)

Python & Finance Talks in 2014 (I):
For Python Quants London 2014

Thanks to all attendees and sponsors who made the first For Python Quants conference in London such a great event. Also a big thank you to CQF Institute and Fitch Learning who helped organize it and who provided an excellent venue.

Slides of my talk Browser-based, collaborative Financial & Derivatives Analytics.

Python & Finance Talks in 2014 (II):
PyData New York City 2014

Links to slides and other relevant links for my PyData talk:


Python & Finance Talks in 2014 (III):
For Python Quants New York CITY 2014

My talk and tutorial at the For Python Quants conference
in New York City on 14. March 2014 (Pi-Day):

Python & Finance Talks in 2014 (IV):
PyData London 2014

PyData London on 21. February 2014:
"Interactive Financial Analytics with Python & IPython
– With Examples based on the VSTOXX Volatility Index"



Solutions to exercises upon request.

Python & Finance Talks in 2014 (V)

Talks and tutorials during the fourth quarter of 2014:

Python & Finance Talks in 2014 (VI)

Talks and tutorials during the third quarter of 2014:

Python & Finance Talks in 2014 (VII):
PyData Berlin 2014

Talks and tutorials during the third quarter of 2014:

Python & Finance Talks in 2014 (VIII): EuroPython Berlin 2014

Talks and tutorials during the third quarter of 2014:

Python & Finance Talks in 2014 (IX)

Talks and tutorials during the second quarter of 2014:

Python & Finance Talks in 2014 (X)

In the first quarter of 2014, I have given the following talks/tutorials:

Python & Finance Talks in 2013 (I)

In 2013, I have participated in the following conferences:

Python & Finance Talks in 2013 (II):
Pycon DE Cologne 2013

Pycon DE in 2013 took place in Cologne, Germany.
I have given three talks there:

Python & Finance Talks in 2013 (III)

In 2013, I have also participated in the following conferences:

Overview of talks
about Python & Finance

  • Python Meetups 2016/2015/2014/2013
    • Python in Finance, New York City
    • Python for Quant Finance, London & NYC
    • Python Big Data Analytics, Berlin
    • Paris Financial Engineering, Paris
    • Data Science Luxembourg, Luxembourg
  • For Python Quants 2015/2014, New York City & London
  • Quant Insights Conference, London
  • Big Data in Finance 2015/2014, London
  • Data Natives Conference 2015, Berlin
  • Global Big Data Conference 2015, San Jose
  • 10th Fixed Income Conference 2014, Barcelona
  • Telefonica/UPM 2014, Madrid
  • PyData 2015/2014/2013, London & Berlin & New York
  • CodeJam 2014, Super Computing Centre, Juelich
  • BI Forum 2013, Budapest
  • PyCon Ireland 2014/2013, Dublin
  • EuroPython 2013/2012/2011, Florence
  • Parallel Data Analysis 2013, Dagstuhl
  • EuroScipy 2013/2012/2011, Paris & Brussels
  • PyCon DE 2013/2012/2011, Leipzig & Cologne
  • PyPhy 2011, Paris

Just google me to find slides and videos.

The Python Quants

The Python Quants Group

At The Python Quants we have these main offerings:

The Python Quants

Quant Platform (I)

All a (Python) quant needs in a single place: your browser.
Free trials in 30 seconds. Visit http://pqp.io

PQP Info

Quant Platform (II)

The Quant Platform allows
browser-based, interactive, collaborative financial analytics:

  • Jupyter Notebook for the unique interactive experience
  • IPython, Python, System Shells for eg Vim editing, Git integration
  • Full Fledged Code Editing for all typical file/code formats
  • Anaconda Distribution for the full scientific Python stack
  • File Manager for GUI-based file handling
  • Collaboration with file/folder sharing, teams & groups,
    Web publishing, app deployment

DX Analytics (I)

In QIV of 2013, we started developing DX Analytics,
a Pythonic derivatives & financial analytics library.
Visit http://dx-analytics.com and http://github.com/yhilpisch/dx.




DX Analytics (II)

We recently open sourced DX Analytics and hope to establish a standard in the Python ecosystem for derivatives and risk analytics with this package soon.
Visit http://dx-analytics.com and http://github.com/yhilpisch/dx. DX Analytics Docu

The Python Quants Group

Visit also our group's Web site http://tpq.io.

The Python Quants

OTHER RESOURCES

My Hobbies

Apart from Python and Finance, Martial Arts are my passion.
I am actively practicing WingTsun and Luta Livre/MMA.


BallterrierDean Lister

Contact

I would like to hear from you.

Dr. Yves J. Hilpisch

Rathausstrasse 75-79 | 66333 Voelklingen | Germany

S yves.hilpisch | E contact [at] dyjh [dot] de | @dyjh


This Web site is maintained by The Python Quants GmbH. Read the Imprint.
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