User Login

Error
Home Courses eLearning Calendar Insights Faculty Us Resources Contact
Close

We are back in the London classroom and on LFS Live LFS Live Icon globally. You choose!

  • Enjoy the personal connection of small-group learning in our London classrooms again
  • If you don't want to travel, LFS Live LFS Live Icon brings the interactive classroom to you
  • Either way, the teaching is still world-class

Please contact us for more information at info@londonfs.com.


Book any course 2 months ahead and enjoy 10% off.
Contact Dina Marto at dina.marto@londonfs.com to get this saving.
Course Calendar Course Calendar

Trading Strategies using Python

This course examines different approaches to building trading strategies across all asset classes. Using Python you will learn how to interact with market data to perform data analysis and find trading signals. We will look at advanced strategies to maximize trade performance and examine the statistics around testing and evaluating trade performance.

The first day of the program begins with an overview of trading strategies and outlines various approaches used to look for trading opportunities. Through workshops we will implement data analytics using Python standard libraries including Pandas and Scipy.

On day two we investigate how to generate trading signals and analyze some of the dangers of overfitting the data. A workshop will focus on how to implement these trading signals in practice using real data. The afternoon examines methods for evaluating the performance of the trading strategies alongside methods of execution. We finish by exploring more advanced trading strategies and Machine Learning techniques in trading.

Recommend to a Colleague
  • Date:
  • Venue:
  • This course is only available via LFS LiveLFS Live
  • Fee:
  • US$1000 per day
    US$4000 total

This course is also available in London Time Zone and Singapore Time Zone

Who The Course is For
  • Traders
  • Portfolio managers
  • Fund managers
  • Structurers
  • Quantitative analysts
  • Technologists and data scientists
  • Risk managers
Learning Objectives
  • Gain familiarity with the various forms of trading strategies
  • Understand how to interact with standard Python libraries to perform data analysis
  • Learn how to generate trading signals from data
  • Perform back-testing and simulations and appreciate the risk of overfitting data
  • Learn how to measure performance of strategies and transaction cost analysis
  • Look into how machine learning techniques can be used to enhance trading signals
  • Implement a trading strategy in Python using signals and optimize performance
Prior Knowledge

A basic understanding of capital markets and securities trading. Some exposure to Python programming would be beneficial.


Keep me updated about this course
Submit