FOR PYTHON QUANTS

An exclusive bootcamp series brought to you by CQF Institute and The Python Quants

TicketsGet in TouchDownload Overview PDF

LONDON TUE 12. to THU 14. November 2019

The Bootcamp Series for those working in Finance or doing Algorithmic Trading and using Python.

 

UNIQUE COMBINATION

This bootcamp series is the only one in the world to focus exclusively on Python for Quantitative Finance. Do not miss it if you work in finance and use Python.


Stay informed about the latest of Python for Quant Finance.

THE SERIES IN NUMBERS

Some numbers about the FOR PYTHON QUANTS series.

For those quants believing more in numbers than just words.

1000+

NYC + LONDON

This London series is the ninth of its kind. During the last eight more than 1000 people attended the bootcamp and conference days.

3

LONDON

We bring you three intensive bootcamp days during which we start from scratch with Python for Finance and end up implementing automated algorithmic trading strategies in real-time.

10

TOPICS

Expect a fast-paced schedule during the bootcamp days with more than 10 topics of relevance covered. Master Python for Finance and Algorithmic Trading.

2

STRONG PARTNERS

The CQF Institute is amongst the world's most renowned education bodies for Quantitative Finance. The Python Quants Group focuses on
Python for Quant Finance.

PYTHON BOOTCAMPS

Intensive Python bootcamps about Python for Finance for professionals and academics who want to make their next step in their career.

The Python Infrastructure & Basics bootcamp will focus on setting up Python environments for interactive financial analytics and application deployment. Dr. Hilpisch will cover a number of important tools and Python packages; illustrating the use of such packages as NumPy and pandas. Introduces participants to a trading platform and its API as well as the Python wrapper packages; examples cover basic and first steps, working with historical financial data as well as streaming data and visualization.


The Trading Strategies bootcamp day will introduce participants to certain techniques to analyze historical financial data, in particular vectorized backtesting for algorithmic trading strategies based on typical financial indicators. Different classification algorithms to derive algorithmic trading strategies will be discussed.


The Automation bootcamp: In order to be able to deploy and run algorithmic trading strategies in real-time, it is necessary to deal with streaming data and to transform offline algorithms to online algorithms; this bootcamp covers basic concepts in this regard. Important aspects when it comes to the robust and reliable deployment of algorithmic trading code, among others, cloud deployment, logging and monitoring will be discussed.

The bootcamps take place at Fitch Learning The Corn Exchange, 55 Mark Lane (2nd floor), London, EC3R 7NE in London.

Tickets to attend either in London or online will gain access to videos of your chosen event(s) on demand for up to 60 days.

PYTHON INFRASTRUCTURE & BASICS

GBP 595 (live and online)
  • Tue, 12. November 2019,
  • one-day, intensive bootcamp,
  • Python Infrastructure & Basics,
  • with Dr. Yves J. Hilpisch.
  • Read the Outline.
This bootcamp day will focus on setting up Python environments for interactive financial analytics and application deployment. Dr. Hilpisch will cover a number of important tools and Python packages; illustrating the use of such packages as NumPy and pandas. Introduces participants to a trading platform and its API as well as the Python wrapper packages; examples cover basic and first steps, working with historical financial data as well as streaming data and visualization.

Close

Trading Strategies

GBP 595 (live and online)
  • Wed, 13. November 2019,
  • one-day, intensive bootcamp,
  • covering trading strategies with Python,
  • with Dr. Yves J. Hilpisch.
  • Read the Outline.
This bootcamp day will introduce participants to certain techniques to analyze historical financial data, in particular vectorized backtesting for algorithmic trading strategies based on typical financial indicators. Different classification algorithms to derive algorithmic trading strategies will be discussed.

Close

AUTOMATION

GBP 595 (live and online)
  • Thu, 14. November 2019,
  • one-day, intensive bootcamp,
  • covering automation,
  • with Dr. Yves J. Hilpisch.
  • Read the Outline.
In order to be able to deploy and run algorithmic trading strategies in real-time, it is necessary to deal with streaming data and to transform offline algorithms to online algorithms; this bootcamp covers basic concepts in this regard. Important aspects when it comes to the robust and reliable deployment of algorithmic trading code, among others, cloud deployment, logging and monitoring will be discussed.

Close

Students

Group Bookings

Package Bookings

A 25% discount applies to students. To claim your discount, email us at events@cqfinstitute.org.

For group bookings, email us at events@cqfinstitute.org and receive a 15% discount when registering 3+ delegates.

Receive a 15% discount when booking at least two bootcamps. For package bookings, email us at events@cqfinstitute.org.

Book a Package

Academics & Students

A 30% discount applies to students and academics. To claim your discount, email us at events@cqfinstitute.org.

Group Bookings

For group bookings, email us at events@cqfinstitute.org and receive a 15% discount when registering 3+ delegates.

Package Bookings

Receive a 15% discount when booking at least two bootcamps.

Book a Package

IMPRESSIONS FROM PREVIOUS EVENTS

Get a feel for the energy and flow at the For Python Quants event series.

Venue

The bootcamps take place at Fitch Learning The Corn Exchange, 55 Mark Lane (2nd floor), London, EC3R 7NE in London.

Fitch Venue

The venue is in the
the financial heart of the Europe.

See it on Google Maps

MEET THE TEAM

DON'T MISS THIS UNIQUE OPPORTUNITY.

EXPECT 100%
PYTHON
& FINANCE

GET IN TOUCH TODAY!

SPONSORS

These are the sponsors.

Visit their Web sites for more information.

Fitch Fitch Learning is a global leader in financial education with over 25 years of experience in delivering specialized, technical training to the finance community.