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Columbus, United States · Study online with LSBA

Algorithmic Trading

Learn to design, test, and implement automated trading strategies using Python, quantitative models, and market microstructure insights for real-time execution
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Overview

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Learning outcomes

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Course content

1

Foundations Of Algorithmic Trading

2

Market Microstructure And Data

3

Strategy Development And Backtesting

4

Risk Management And Execution

5

Advanced Topics And Emerging Technologies

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
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Course access
Self-paced
Learn on your time
Certificate
Included in fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
Open enrolment · Start today

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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

I recently completed the Algorithmic Trading course at Stanmore School of Business, and I must say it was an incredible experience. The course content was comprehensive, covering everything from the basics of algorithmic trading to advanced strategies and risk management techniques. The instructor's expertise and passion for the subject matter were evident throughout the course, and the quality of the course materials was top-notch. I particularly appreciated the hands-on exercises and case studies, which helped me gain practical knowledge and skills that I can apply directly to my work. For instance, I was able to develop and backtest my own trading algorithm using the concepts learned in the course, which resulted in a significant improvement in my trading performance. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to learn about algorithmic trading.

LH
Leila Hassan
EG · Course completed

The Algorithmic Trading course at Stanmore School of Business was a great introduction to the world of automated trading. I found the course materials to be well-structured and easy to follow, with plenty of examples and illustrations to help reinforce the concepts. The instructor was knowledgeable and responsive to questions, and the online discussion forum was a great resource for connecting with other students and getting help when needed. One of the key takeaways for me was the importance of risk management in algorithmic trading, and how to implement effective risk management strategies in my own trading. While I felt that some of the topics could have been covered in more depth, overall I was satisfied with the course and would recommend it to others looking to learn about algorithmic trading.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Algorithmic Trading course at Stanmore School of Business was amazing! I was a bit skeptical at first, but the course completely exceeded my expectations. The instructor was super enthusiastic and knowledgeable, and the course materials were incredibly comprehensive. I loved the fact that we got to work on real-world projects and case studies, which helped me gain practical experience and build my portfolio. The course also covered some really advanced topics, such as machine learning and artificial intelligence in trading, which I found fascinating. The community of students was also really supportive and helpful, and I appreciated the feedback and guidance from the instructor throughout the course. Overall, I'm so glad I took this course and would highly recommend it to anyone interested in algorithmic trading!

RS
Rafael Silva
BR · Course completed

I took the Algorithmic Trading course at Stanmore School of Business to improve my skills in automated trading, and I'm happy to say that the course delivered. The course content was detailed and well-organized, with a good balance of theoretical and practical knowledge. I appreciated the fact that the instructor used a lot of examples and illustrations to explain complex concepts, which made it easier to understand and retain the information. The course materials were also of high quality, with plenty of additional resources and references for further learning. One of the things that I found particularly useful was the section on backtesting and evaluating trading strategies, which helped me to improve my own trading performance. While I thought that some of the topics could have been covered more quickly, overall I was satisfied with the course and would recommend it to others looking to learn about algorithmic trading.





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Recently updated!

May 2026