Trading Algorithms

  • 4.6
Approx. 12 hours to complete

Course Summary

Learn how to develop trading algorithms and strategies with this comprehensive course. Gain practical knowledge of the financial markets and the tools required to create effective trading systems.

Key Learning Points

  • Understand the basics of financial markets and trading strategies
  • Learn how to use Python for algorithmic trading
  • Discover how to develop and test trading strategies
  • Gain knowledge of risk management and portfolio optimization
  • Get insights into real-world trading scenarios

Job Positions & Salaries of people who have taken this course might have

    • USA: $98,000
    • India: ₹1,200,000
    • Spain: €50,000
    • USA: $98,000
    • India: ₹1,200,000
    • Spain: €50,000

    • USA: $120,000
    • India: ₹1,800,000
    • Spain: €60,000
    • USA: $98,000
    • India: ₹1,200,000
    • Spain: €50,000

    • USA: $120,000
    • India: ₹1,800,000
    • Spain: €60,000

    • USA: $92,000
    • India: ₹1,000,000
    • Spain: €40,000

Related Topics for further study


Learning Outcomes

  • Develop effective trading strategies using Python programming
  • Understand the principles of risk management and portfolio optimization
  • Gain practical knowledge of real-world trading scenarios

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of Python programming
  • Familiarity with financial markets and trading concepts

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced

Similar Courses

  • Quantitative Trading
  • Financial Markets
  • Machine Learning for Trading

Related Education Paths


Notable People in This Field

  • Andreas Clenow
  • Ernest P. Chan
  • Gary Antonacci

Related Books

Description

This course covers two of the seven trading strategies that work in emerging markets. The seven include strategies based on momentum, momentum crashes, price reversal, persistence of earnings, quality of earnings, underlying business growth, behavioral biases and textual analysis of business reports about the company.

Outline

  • Module 1 - Introduction to Trading Strategies and Benchmarks
  • Disclaimer
  • Introduction to Trading Strategies
  • Disclaimer
  • Are markets efficient?
  • Practice Quiz
  • Quiz 1
  • How to read an academic paper
  • How to read an academic paper - a
  • How to read an academic paper - b
  • How to read an academic paper - c
  • How to read an academic paper - Abstract
  • How to read and get the most out of a journal article
  • Practice Quiz
  • Quiz 2
  • Module 3 - Trading Strategy 1 - F Score
  • Piotroski F-Score : Strategy - a
  • Piotroski F-Score : Strategy - b
  • Piotroski F-Score : Strategy - c
  • Piotroski F-Score : Implementation - a
  • Piotroski F-Score : Implementation - b
  • Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers
  • Quiz 3
  • Module 4 - Trading Strategy 2 - PEAD
  • Piotroski F-Score : Wrap up
  • Post Earnings Announcement Drift (PEAD) - a
  • Post Earnings Announcement Drift (PEAD) - b
  • Wrap up
  • An Empirical Evaluation of Accounting Income Numbers
  • Practice Quiz
  • Quiz 4

Summary of User Reviews

This trading algorithm course is highly recommended by users. It covers a variety of trading strategies and techniques in a comprehensible manner.

Key Aspect Users Liked About This Course

The course provides practical and applicable knowledge that can be immediately implemented in real trading scenarios.

Pros from User Reviews

  • The instructors are knowledgeable and experienced in the subject matter.
  • The course content is well-structured and easy to follow.
  • The course offers valuable insights and tips for successful trading.
  • The course provides extensive resources and materials for further learning.
  • The course has a strong community of learners and support from the instructors.

Cons from User Reviews

  • Some users found the course to be too basic and not challenging enough for experienced traders.
  • Some users felt that the course lacked depth in certain areas and could benefit from more advanced topics.
  • Some users experienced technical difficulties with the online platform and video lectures.
  • Some users found the course to be expensive compared to other online trading courses.
  • Some users found the course to be time-consuming and difficult to balance with other commitments.
English
Available now
Approx. 12 hours to complete
Prasanna Tantri
Indian School of Business
Coursera

Instructor

Prasanna Tantri

  • 4.6 Raiting
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