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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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Everything you need to know before you start

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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
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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
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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 Kingdom
ST
Sarah Thompson
GB · Course completed

Honestly, this course was a solid win for me. I wanted to get a grip on how markets work and end up actually writing my first trading bot. The sections on data sourcing and the step‑by‑step guide to using the MetaTrader API were spot‑on – I could copy the code straight into my own project. The reading list was a bit heavy at times, but the practical labs made everything click. I left the course feeling equipped to test strategies on historical data and confident about the next steps. A great mix of theory and practice.

MC
Michael Carter
US · Course completed

The Algorithmic Trading course at Stanmore School of Business exceeded my expectations. The curriculum was perfectly aligned with my goal to build a systematic trading strategy, and the modules on Python back‑testing and risk management gave me hands‑on experience. I especially appreciated the real‑world case studies, which let me apply the concepts to a mock portfolio and see the Sharpe ratio improve after each iteration. The video lectures were clear and the supplementary notebooks were well‑structured, making it easy to follow along. Overall, the course delivered high‑quality, relevant material and I feel confident launching my own algorithmic trading desk.

AP
Ananya Patel
IN · Course completed

I’m thrilled with what I learned! The Algorithmic Trading program helped me achieve my dream of automating investments. The breakout sessions on statistical arbitrage gave me concrete formulas, and the live coding workshops let me build a mean‑reversion strategy from scratch. The course materials were up‑to‑date, especially the sections on machine‑learning integration, which I’ve already started applying to my own dataset. The supportive community and prompt instructor feedback made the whole experience energetic and rewarding.

ZD
Zanele Dlamini
ZA · Course completed

This course was exceptionally detailed and methodical. My learning goal was to understand the full lifecycle of an algorithmic trading system, and the modules covered everything from market microstructure to execution algorithms. The practical assignments, such as designing a real‑time order‑book simulator, gave me deep insight into latency considerations. The provided slide decks and code repositories were meticulously organized, which helped me review concepts later. While the pacing was intense, the comprehensive coverage left me thoroughly satisfied and ready to implement my own strategies in the South African market.





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Recently updated!

May 2026