About the programme 
Throughout our unique programme, we provide a strong foundation in the tools and techniques used in algorithmic trading. Studying at your own pace you'll learn the basic programming concepts, moving through advanced trading strategies and discovering methods for research into new alpha sources. Applying everything in hands-on projects throughout the course. Unlike the other courses, the Algorithmic Trading: Practitioners Guide course takes a hands-on approach to building trading pipelines, from data to features to modelling to allocation to execution to performance measurement, guiding the student through common practice as well as areas of innovation.
Level up your career: Understanding advanced trading strategies, Impact of Machine Learning and methods for research into new alpha sources. The ATC is a career-enhancing professional certificate, that can be taken worldwide.
Self-paced online learning
- Progress through the course independently at your own pace.
- Enjoy maximum flexibility to fit your own schedule, with no set deadlines to follow.
- Access the real-world final project when you are ready to implement the knowledge and skills you have acquired during the course of the programme.
Duration:
📅 Self-Paced: 22+ Lecture Hours
Format:
💻 Online
Evaluation:
✔ Real-World Final Project + Certificate
📆 Time Commitment:
Recorded lectures accessible any time. Take the ATC at your own pace.
🕛 Self-paced Online:
Students will have the opportunity to apply what they learn in hands-on projects throughout the course.
📊 Certificate:
“Students are awarded the prestigious ATC Certificate from WBS Training.”
💳 Cost: £1695.00
Testimonials: ⬇️
"The comprehensive coverage of various topics provided me with a solid understanding of the intricacies of algorithmic trading. Now I have a clear direction on where to begin and how to approach each strategy effectively. I now feel equipped with the knowledge and confidence to navigate the complexities of algorithmic trading with ease. I highly recommend this training to anyone looking to dive into the world of algorithmic trading.”
Dr Abdallah Rahal
”ATC covers a vast panel of topics structured around building trading strategies and leveraging modern infrastructures. From time series theory to risk management, the authors of the course tried to give a wide overview on the field, and provided the students with valuable references/ books/ resources. I have enjoyed this course and would recommend it.”
Imen al Samarai
“I had been looking for an online course on Algorithmic Trading by a reputable organization for years but none had the in-depth syllabus I was looking for. When last year ATC was announced by WBS, I did not hesitate to sign up. Professors Nick and Brian have extensive experience on the subject and combine theoretical classes and practical sessions with valuable insights of the current industry trends. The course is well structured and paced, covering all aspects needed to build a profitable trading strategy. A well-curated list of bibliography and paper references is provided during the course (although one could not probably be able to digest all material in a lifetime). The live sessions give students a unique chance to discuss the material and ideas with professors weekly. I strongly recommend this course if you want a thorough introduction to the field of algorithmic trading.”
Victor Montiel Argaiz
Who should enroll
Discretionary Traders / Risk Managers – Understand the mechanics of the market and develop the tools to devise and manage new and improved algorithmic strategies of different types including multi-asset strategies. Learn the importance of allocation frameworks, execution models and performance testing. Recognise pros and cons of various approaches to designing strategies and the common pitfalls encountered by algorithmic traders.
Algorithmic Traders / Quants – Appreciate when commonly-used strategies work and when they don’t. Understand the statistical properties of strategies and discern the mathematically proven from the empirical. Expand your technology toolkit to incorporate the latest techniques including open-source tools and models from other areas of the quant industry.
Academics / Students / Data Scientists – Gain familiarity with the broad area of algorithmic trading strategies. Master the underlying theory and mechanics behind the most common strategies. Acquire a solid understanding of the principals and context necessary for new academic research into the large number of open questions in the area.