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Advanced Algorithmic Trading and Portfolio Management

Advanced Algorithmic Trading and Portfolio Management banner
Preview this course
Self-paced Advanced

Advanced Algorithmic Trading and Portfolio Management

4(1579)
2 enrolled
1315 views
FREE
1425 min
Anytime
English
Team EveryEng
Team EveryEngMechanical Engineering
  • Lifetime access
  • Certificate of completion
  • Anytime Learning
  • Learn from Industry Expert
Volume pricing for groups of 5+

Why enroll

Participants join this course to understand how algorithmic trading systems analyze market data and automatically execute trades. It helps learners develop skills in quantitative analysis, financial modeling, and data-driven investment strategies. The course also teaches portfolio management techniques to balance risk and maximize returns. Many participants enroll to explore career opportunities in fintech, quantitative finance, and investment management.

Is this course for you?

You should take this if

  • You work in Aerospace or Automotive
  • You're a Data Science & Analysis professional
  • You have 3+ years of hands-on experience in this field
  • You prefer self-paced learning you can revisit

You should skip if

  • You're new to this field with no prior experience
  • You need a different specialisation outside Data Science & Analysis
  • You need live interaction with an instructor

Course details

Advanced Algorithmic Trading and Portfolio Management is a comprehensive course designed to help learners understand how technology and data are used to make smart financial investment decisions. The course introduces the fundamentals of algorithmic trading, where computer programs automatically execute trades based on predefined rules and market conditions. Participants will learn how financial markets work and how algorithms can analyze large amounts of market data quickly and efficiently. The course also covers portfolio management strategies used to balance risk and return while investing in different assets. Learners will explore concepts such as quantitative analysis, trading strategies, backtesting, and risk management. Practical examples help students understand how trading algorithms are designed and evaluated. The course also explains how diversification and asset allocation help in building strong investment portfolios. By the end of the course, participants will gain insights into modern trading technologies and data-driven investment methods. This course is ideal for students, finance enthusiasts, and professionals who want to explore the intersection of finance, mathematics, and technology. It provides a strong foundation for those interested in careers in fintech, quantitative finance, and investment management.

Course suitable for

Key topics covered

  • Develop advanced algorithmic trading strategies using Python and popular libraries (Pandas, NumPy, scikit-learn)

  • Implement machine learning and AI techniques for trading decision-making

  • Optimize portfolio performance using risk management and diversification methods

  • Analyze market data and identify profitable trading opportunities

  • Backtest and evaluate trading strategies

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

28 lectures23 hr 45 min

Opportunities that await you!

Career opportunities

FREE

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