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Algorithmic Trading

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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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Learn on your time
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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
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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 just completed the Algorithmic Trading course at Stanmore School of Business and I'm blown away by the quality of the content! The instructor's expertise in the field is evident, and the way they explained complex concepts like backtesting and risk management made it easy for me to understand and apply. I gained practical skills in designing and implementing trading strategies using Python, which has already helped me improve my trading performance. The course materials were top-notch, with relevant examples and case studies that made the learning experience engaging and interactive. 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

I found the Algorithmic Trading course at Stanmore School of Business to be quite informative and helpful in achieving my learning goals. The course covered a wide range of topics, from the basics of trading to advanced concepts like machine learning and neural networks. I appreciated the emphasis on practical applications and the use of real-world examples to illustrate key concepts. One area for improvement could be the addition of more interactive elements, such as quizzes or discussions, to enhance the learning experience. Nevertheless, I gained a solid understanding of algorithmic trading and developed useful skills in data analysis and strategy development.

CR
Catarina Rodriguez
BR · Course completed

Wow, what an amazing course! I'm so glad I took the Algorithmic Trading course at Stanmore School of Business. The instructor was super enthusiastic and knowledgeable, and the course materials were incredibly comprehensive. I loved the way the course was structured, with a focus on hands-on learning and experimentation. I gained so much practical knowledge and skills, from coding trading bots to analyzing market trends. The course also covered the importance of risk management and performance evaluation, which was really valuable. Overall, I had an incredible learning experience and would definitely recommend this course to anyone interested in algorithmic trading.

KN
Kaito Nakamura
JP · Course completed

The Algorithmic Trading course at Stanmore School of Business was a valuable learning experience for me. The course content was well-organized and easy to follow, with a focus on technical analysis and trading strategy development. I appreciated the detailed explanations of key concepts, such as moving averages and Bollinger Bands, and the use of case studies to illustrate their application. One aspect that I found particularly useful was the discussion of different trading platforms and tools, which helped me understand the practical aspects of algorithmic trading. While some of the topics were quite advanced, the instructor did a good job of providing additional resources and support to help students understand the material.





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Recently updated!

May 2026