Course Summary
Learn how to develop advanced trading algorithms in this course. Explore trading strategies, programmatic trading systems, and machine learning techniques to help you make better trading decisions.Key Learning Points
- Learn how to develop programmatic trading systems
- Explore trading strategies and algorithmic trading techniques
- Understand how machine learning can be used in trading
Job Positions & Salaries of people who have taken this course might have
- USA: $125,000
- India: ₹1,000,000
- Spain: €60,000
- USA: $125,000
- India: ₹1,000,000
- Spain: €60,000
- USA: $110,000
- India: ₹900,000
- Spain: €50,000
- USA: $125,000
- India: ₹1,000,000
- Spain: €60,000
- USA: $110,000
- India: ₹900,000
- Spain: €50,000
- USA: $95,000
- India: ₹750,000
- Spain: €45,000
Related Topics for further study
Learning Outcomes
- Develop programmatic trading systems
- Implement trading strategies and algorithmic trading techniques
- Understand how machine learning can be used in trading
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of programming
- Familiarity with financial markets
Course Difficulty Level
IntermediateCourse Format
- Online self-paced course
- Video lectures
- Quizzes and assignments
Similar Courses
- Financial Markets
- Algorithmic Trading Strategies
- Applied Data Science
Related Education Paths
Notable People in This Field
- Andrew Ng
- Nassim Nicholas Taleb
Related Books
Description
This course will provide back test results for all the strategies in developed and emerging markets. The learner will also be taught scientific ways of back testing without succumbing to either look ahead (or) survival bias.
Outline
- Strategy - Accruals
- Accruals - Introduction
- Accruals - Calculation
- Accruals - Ratios
- Accruals - Strategy
- Do Stock Prices Fully Reflect Information in Accruals and Cash Flows about Future Earnings?
- Quiz 1
- Strategy - Betting against Beta
- Betting against Beta - Introduction
- Betting against Beta - CAPM
- Betting against Beta - Strategy
- Betting Against Beta
- Practice Quiz
- Quiz 2
- Strategy - Momentum & Momentum Crashes
- Momentum - Introduction
- Momentum - Lookback period
- Momentum - Strategy
- Momentum - Returns
- Momentum crashes - Introduction
- Momentum crashes - Options primer 1
- Momentum crashes - Options primer 2
- Momentum crashes - Abstract
- Momentum crashes - Strategy
- Momentum
- Quiz 3
- Strategy - G Score
- G Score - Back Ground
- G Score - Economic Intuition
- G Score - Strategy
- G Score - Numerical Example
- G Score - Closure
- Closure
- Separating Winners from Losers among Low Book-to-Market Stocks using Financial Statement Analysis
- Practice Quiz
- Quiz 4
Summary of User Reviews
Learn advanced trading algorithms online with Coursera. This course has received positive reviews from students. Many users found the course to be practical and informative, and the instructors were knowledgeable and engaging.Key Aspect Users Liked About This Course
The practicality and informativeness of the course materialPros from User Reviews
- Instructors were knowledgeable and engaging
- Course content is relevant to real-world trading
- Good balance of theory and practical applications
- Interactive assignments and quizzes keep students engaged
- Flexible scheduling and self-paced learning
Cons from User Reviews
- Course can be challenging for beginners
- Some technical issues with the online platform
- Limited interaction with instructors
- Course may not be suitable for those seeking a comprehensive overview of trading
- No hands-on trading experience
Prasanna Tantri
4.6 Raiting
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