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Quantitative Trading

Mat Leonard, Parnian Barekatain, Eddy Shyu, Brok Bucholtz, Elizabeth Otto Hamel, Cindy Lin, Cezanne Camacho, Arpan Chakraborty, Luis Serrano, and Juan Delgado
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What's inside

Syllabus

Welcome to the exciting world of Quantitative Trading! Say hello to your instructors and get an overview of the program.
You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Employs instructors who are recognized in quantitative trading
Teaches students to develop trading strategies, construct models, and optimize portfolios using Python
Provides hands-on experience through projects and labs, fostering practical skills development
Covers a wide range of topics, from beginner-level concepts to advanced trading techniques
Prepares students for roles in quantitative trading, financial analysis, and portfolio management

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Quantitative Trading with these activities:
Read 'Quantitative Trading: Risk and Performance Analysis' by Ernie Chan
Gain a comprehensive understanding of quantitative trading concepts, risk management, and performance evaluation techniques.
View Quantitative Trading on Amazon
Show steps
  • Acquire the book and set aside dedicated time for reading.
  • Read each chapter thoroughly, taking notes and highlighting key concepts.
  • Apply the knowledge gained to your own trading strategies or research projects.
  • Engage in discussions or write a summary to reinforce your understanding.
  • Reference the book as needed to refresh your knowledge or address specific questions.
Practice stock price prediction with historical data
Improve your understanding of stock price movements and develop your ability to predict future prices.
Browse courses on Stock Price Prediction
Show steps
  • Gather historical stock data from a reputable source.
  • Clean and preprocess the data to remove outliers and missing values.
  • Apply machine learning algorithms, such as linear regression or decision trees, to predict stock prices.
  • Evaluate the performance of your models using metrics such as mean absolute error or R-squared.
  • Repeat the process for different stocks and time periods to improve your skills.
Develop a blog or website on quantitative trading strategies
Deepen your understanding of quantitative trading concepts and share your knowledge with others.
Show steps
  • Research and gather information on different quantitative trading strategies.
  • Design and implement a blog or website to present your findings.
  • Write articles or create videos that explain the strategies in detail.
  • Provide examples and case studies to illustrate the practical application of the strategies.
  • Receive feedback from other traders and experts to improve your content.
One other activity
Expand to see all activities and additional details
Show all four activities
Design and implement a multi-factor risk model
Enhance your understanding of risk management and portfolio construction by developing a robust risk model.
Browse courses on Portfolio Optimization
Show steps
  • Gather data on a wide range of factors that influence asset returns.
  • Explore different statistical and machine learning techniques to identify and quantify the relationships between factors and asset returns.
  • Develop a multi-factor risk model that captures the systemic and idiosyncratic risk of a portfolio.
  • Validate the risk model using historical data and assess its accuracy in predicting risk.
  • Apply the risk model to optimize portfolios and improve risk-adjusted returns.

Career center

Learners who complete Quantitative Trading will develop knowledge and skills that may be useful to these careers:
Quantitative Analyst
Quantitative Analysts model and analyze financial data. This course may be useful in developing the necessary skills for this role, with its focus on statistical methods, data analysis, and machine learning techniques. It also provides hands-on experience with Python, which is widely used in quantitative finance.
See salaries and explore the career path for Quantitative Analyst
Quantitative Researcher
Quantitative Researchers develop and implement mathematical and statistical models to analyze financial data. This course can help develop the skills needed for this role, as it provides training in data analysis, machine learning, and statistical modeling. The hands-on experience with Python and financial data is also valuable.
See salaries and explore the career path for Quantitative Researcher
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. This course can help develop the skills needed for this role, as it provides training in data analysis, machine learning, and software development. The hands-on experience with Python is also valuable.
See salaries and explore the career path for Machine Learning Engineer
Financial Analyst
Financial Analysts gather data on companies and industries to identify prospective investments. This course can help one develop the analytical and modeling skills necessary for this role. It covers topics such as financial statement analysis, valuation, and risk assessment.
See salaries and explore the career path for Financial Analyst
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful in developing the skills needed for this role, as it provides training in data analysis, software development, and machine learning. The hands-on experience with Python is also valuable.
See salaries and explore the career path for Software Engineer
Portfolio Manager
Portfolio Managers oversee investment portfolios, making decisions on asset allocation and risk management. This course may be useful in developing the skills needed for this role, as it provides training in portfolio optimization, risk modeling, and data analysis. The hands-on experience with Python and financial data is also valuable for this role.
See salaries and explore the career path for Portfolio Manager
Hedge Fund Manager
Hedge Fund Managers manage investment funds that use advanced investment strategies. This course can help develop the skills needed for this role, as it provides training in portfolio optimization, risk modeling, and data analysis. The hands-on experience with Python and financial data is also valuable.
See salaries and explore the career path for Hedge Fund Manager
Investment Banker
Investment Bankers provide financial advice to businesses and governments. This course may be useful in developing the skills needed for this role, as it provides training in financial analysis, valuation, and risk assessment. The hands-on experience with Python and financial data is also valuable.
See salaries and explore the career path for Investment Banker
Financial Engineer
Financial Engineers design and develop financial products and services. This course can help develop the skills needed for this role, as it provides training in financial modeling, risk assessment, and data analysis. The hands-on experience with Python and financial data is also valuable.
See salaries and explore the career path for Financial Engineer
Actuary
Actuaries assess and manage financial risks. This course can help develop the skills needed for this role, as it provides training in risk modeling, data analysis, and financial mathematics.
See salaries and explore the career path for Actuary
Trader
Traders buy and sell financial instruments on behalf of clients or their own accounts. This course can help develop the skills needed for this role, as it provides training in financial analysis, risk management, and data analysis. The hands-on experience with Python and financial data is also valuable.
See salaries and explore the career path for Trader
Statistician
Statisticians collect, analyze, and interpret data to solve problems. This course can help develop the skills needed for this role, as it provides training in data analysis, statistical modeling, and machine learning. The hands-on experience with Python is also valuable.
See salaries and explore the career path for Statistician
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course can help develop the skills needed for this role, as it provides training in data analysis, statistical modeling, and machine learning. The hands-on experience with Python is also valuable.
See salaries and explore the career path for Data Analyst
Risk Manager
Risk Managers identify and assess potential financial risks. This course can help develop the skills needed for this role, as it provides training in risk modeling, data analysis, and portfolio optimization. The hands-on experience with Python is also valuable for this role.
See salaries and explore the career path for Risk Manager
Data Scientist
Data Scientists use data to solve business problems. This course can help develop the skills needed for this role, as it provides training in data analysis, machine learning, and statistical modeling. The hands-on experience with Python and financial data is also valuable for this role.
See salaries and explore the career path for Data Scientist

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Quantitative Trading.
Cover image
Trading and Electronic Markets: What Investment...
Save
Provides an overview of market microstructure, which is the study of how markets operate. It covers topics such as order types, market depth, and liquidity. It valuable reference for anyone interested in understanding how markets work.
Trading and Electronic Markets: What Investment...
Paperback
$
Trading and Electronic Markets: What Investment...
Kindle Edition
Check Price
Cover image
The Elements of Statistical Learning
Save
Provides an introduction to statistical learning. It covers topics such as linear regression, logistic regression, and decision trees. It valuable resource for anyone interested in learning more about these topics.
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Cover image
Risk Management and Financial Institutions
Save
Provides an overview of risk management and financial institutions. It covers topics such as risk measurement, portfolio management, and financial regulation. It valuable reference for anyone interested in learning more about these topics.
Risk Management and Financial Institutions (Wiley...
Hardcover
$$$
Risk Management and Financial Institutions (Wiley...
Kindle Edition
$$$
Cover image
Strategic Risk Management
Save
Provides an overview of the econometrics of financial markets. It covers topics such as asset pricing, portfolio theory, and market microstructure. It valuable reference for anyone interested in learning more about these topics.
Strategic Risk Management: Designing Portfolios and...
Hardcover
$$
Strategic Risk Management: Designing Portfolios and...
Kindle Edition
$$
Cover image
Semiparametric Regression with R
Save
Provides an introduction to quantitative finance. It covers topics such as financial mathematics, statistics, and econometrics. It valuable resource for anyone interested in learning more about these topics.
Semiparametric Regression with R (Use R!)
Paperback
$$$$
Semiparametric Regression with R (Use R!)
Kindle Edition
$$$
Cover image
Causal Factor Investing
Save
Provides an overview of machine learning in finance. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone interested in learning more about these topics.
Causal Factor Investing (Elements in Quantitative...
Paperback
$$
Causal Factor Investing: Can Factor Investing...
Kindle Edition
$$
Cover image
Asset Management: Tools And Issues
Save
Provides an overview of artificial intelligence for asset management. It covers topics such as natural language processing, computer vision, and machine learning. It valuable resource for anyone interested in learning more about these topics.
Asset Management: Tools and Issues
Hardcover
$$$$
Cover image
Principles of Financial Engineering
Save
Provides an overview of the mathematics of financial modeling. It covers topics such as calculus, probability, and statistics. It valuable resource for anyone interested in learning more about these topics.
Principles of Financial Engineering
Paperback
Check
Principles of Financial Engineering
Kindle Edition
Check
Cover image
Fundamentals of Futures and Options Markets, Global...
Save
Provides an overview of financial engineering and risk management. It covers topics such as financial derivatives, risk management, and portfolio optimization. It valuable reference for anyone interested in learning more about these topics.
Fundamentals of Futures and Options Markets, Global...
Paperback
$$$
Cover image
Quantum Machine Learning and Optimisation in Finance
Save
Provides a comprehensive overview of machine learning in finance. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone interested in learning more about these topics.
Quantum Machine Learning and Optimisation in...
Kindle Edition
$$

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Time
100800 hours
Level
Advanced
Via
Udacity
Instructors
Mat Leonard
Parnian Barekatain
Eddy Shyu
Brok Bucholtz
Elizabeth Otto Hamel
Cindy Lin
Cezanne Camacho
Arpan Chakraborty
Luis Serrano
Juan Delgado
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Employs instructors who are recognized in quantitative trading
Teaches students to develop trading strategies, construct models, and optimize portfolios using Python
Provides hands-on experience through projects and labs, fostering practical skills development
Covers a wide range of topics, from beginner-level concepts to advanced trading techniques
Prepares students for roles in quantitative trading, financial analysis, and portfolio management
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