2 self-paced courses
Course include the fundamentals and advanced knowledge on Algorithmic Trading strategies.
Learn from the best
Dr. Nick Firoozye is a data scientist & statistician with over 20 years of experience in the finance industry, in both buy and sell-side firms, largely in research. He is currently an Honorary Senior Lecturer in Computer Science at University College London, focusing on Robust Machine Learning in finance. He recently co-authored a book, entitled Managing Uncertainty, Mitigating Risk, about the role of uncertainty and imprecise probability in finance, in light of the many recent financial crises, and he is writing a book on Algorithmic Trading Strategies based on his recent Ph.D. course on the same topic offered at UCL and current online course at Experfy.
Certification
Industry recognized certification enables you to add this credential to your resume upon completion of all courses.
This certification will cover the entire pipeline of algorithmic trading strategies from basic to advanced.
- Course covers the underlying principles behind algorithmic trading, covering principles and analyses of trend-following, carry, value, mean-reversion, relative value and other more obscure strategies like short-gamma.
- Advanced course covers the entire pipeline of advanced algorithmic trading - strategies including both risk premia and advanced strategies, including research and development methodology, and the gritty details including data sources, databases, class structure from signals to strategies to portfolios to optimizers to back-testers. Numerous examples of strategies in futures will be gone through in detail, while strategies in equities, fixed income, and FX will be described and referenced.
Advanced Algorithmic Trading Workshop - Strategies, Signals and Pipelines
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Nick Firoozye
Self-paced
About the Course
- Understand sources of risk premia strategies, i.e., CTA and bank quant investment strategy returns.
- Assemble the necessary components from the data sources/APIs, to databases to back-testers to portfolio optimizers and risk management tools into a quant investment system.
- Instructor has a Ph.D. & is a data scientist with over 20 years of experience in the finance industry, in both buy and sell-side firms, largely in research.
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