User Login

Error
Home Courses
Public Courses In-House Courses
Calendar Insights Faculty Us
27 Years of LFS Our History
Resources
LFS Live LFS Learning Useful Links Teaching Location Careers with LFS Classroom Hire Videos Webinars Podcasts Samples
Contact
Close
Course Calendar Course Calendar

Trading Strategies using Python

Overview Teacher Outline Brochure

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 programme 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$1900 per day
    US$3800 total

This course is also available in London Time Zone and New York Time Zone

This course is FTS-Eligible* and also eligible for 16 CPD hours. GARP & CFA Institute members are eligible for 16 CE/CPD credits. See details

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

*FTS Eligible
This programme is approved for listing on the Financial Training Scheme (FTS) Programme Directory and is eligible for FTS claims subject to all eligibility criteria being met. Please note that in no way does this represent an endorsement of the quality of the training provider and programme. Participants are advised to assess the suitability of the programme and its relevance to participants' business activities or job roles. The FTS is available to eligible entities, at a 50% funding level of programme fees subject to all eligibility criteria being met. FTS claims may only be made for programmes listed on the FTS Programme Directory with the specified validity period. Please refer to www.ibf.org.sg for more information.