Python for Financial Markets

Explore your understanding of how Python can be applied and utilised successfully through in-person tutorials and financial market case studies.

Join us for the Live online practical introduction to Python and the syntax. Led by subject matter expert Saeed Amen, this learning opportunity will discuss data analysis in Python, working with time series in Pandas, using NumPy, various visualisation libraries, and a brief look at machine learning.

Sessions will deep-dive into how to perform analysis of financial markets in Python - from downloading market data in Python to backtesting trading strategies. Each major topic will be explored through a detailed presentation followed by practical tutorials and financial market case studies. 

As a Live event, participants will have the real-time opportunity to connect with peers and the course tutor, ask and participate in Q&A, and share best practices to maximise engagement. 

What will you learn?
  • An introduction to Python I

  • Data analysis in Python including NumPy and Pandas

  • Analysis of financial data including market drivers

  • How to backtest a trading strategy in Python

  • Financial market case studies

  • Understanding the behaviour of FX around major data events

  • Tutorial based applications 

Who should attend?
  • Financial data

  • Python

  • Natural language processing

  • Data analysis 

  • Machine learning 

Sessions include
  • Introduction to Python I and tutorial

  • Data analysis in Python and tutorial

  • Analysis of financial data and tutorial

  • Financial market case studies using Python and tutorial

Pricing options

We offer flexible pricing options for this course:

  • Early bird rates - save up to $500

  • Group booking rate - save over $1500

  • Subscribe to receive Risk Training updates and avoid missing out on additional savings

Saeed Amen

Founder, cuemacro and visiting lecturer

Queen Mary University of London

Saeed Amen is the founder of Cuemacro. Over the past fifteen years, Saeed Amen has developed systematic trading strategies at major investment banks including Lehman Brothers and Nomura. He is also the author of Trading Thalesians: What the ancient world can teach us about trading today (Palgrave Macmillan) and is the co-author of The Book of Alternative Data (Wiley), due in 2020.

Through Cuemacro, he now consults and publishes research for clients in the area of systematic trading. He has developed many Python libraries including finmarketpy and tcapy for transaction cost analysis. His clients have included major quant funds and data companies such as Bloomberg. He has presented his work at many conferences and institutions which include the ECB, IMF, Bank of England and Federal Reserve Board. He is also a co-founder of the Thalesians.

Live Virtual training courses


Our live virtual training courses have been designed to engage and inspire you. Much more than a webinar, our approach includes:

  • Technical content compressed into 60-minute interactive sessions and spread out over two, three or four days

  • Facilitated collaboration including Q&A, interactive polling and group workshops

  • Live interaction with subject matter experts – get your questions answered in real time

  • Receive comprehensive course materials and supporting content from to reinforce your learning

  • Stay connected with other learners and extend your network by joining our dedicated LinkedIn group for course participants

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