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Chris Shockley
In this 1-hour long project-based course, you will learn how to pull down Stock Data using the R quantmod package. You will also learn how to perform analytics and pass financial risk functions to the data. Note: This course works best for learners who...
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In this 1-hour long project-based course, you will learn how to pull down Stock Data using the R quantmod package. You will also learn how to perform analytics and pass financial risk functions to the data. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores quantmod package, which is standard in the R programming language for financial data analysis
Builds a foundation for understanding stock data analysis using R programming
Provides hands-on experience through project-based learning
Taught by Chris Shockley, who is recognized for their work in financial data analysis

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Reviews summary

Quantifiable knowledge

This course is likely to be a good choice for those who want to move quickly through the learning objectives and for those who like projects. The course is likely to be less valuable for those who are not familiar with North American financial markets.
Learning applicable to real world financial objectives.
"C​lear and useful for you to then apply on your own"
Project centric learning for building knowledge.
"good "
"nice"
"Nice"
Course is antiquated and out of date
"Old outdated ... excercises does not work."
"In short one of the worst projects in Coursera."

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 Create a Buy Signal using RSI in R with the Quantmod Package with these activities:
Analyze historical stock prices
Reviewing previously learned techniques for statistical analysis and financial data to prepare for this course's advanced topics.
Browse courses on Stock Market Analysis
Show steps
  • Gather historical stock prices for different companies and industries.
  • Use statistical software, such as R or Python, to clean and analyze the data.
  • Create visualizations to identify trends and patterns in the data.
  • Write a report summarizing your findings.
Compile a list of financial data resources
Build a valuable resource that supports ongoing learning and research in the field of finance.
Browse courses on Data Compilation
Show steps
  • Identify different types of financial data resources, such as databases, websites, and research papers.
  • Search for and gather relevant resources.
  • Organize and categorize the resources in a digital or physical format.
  • Share the compiled list with the course instructor and classmates.
Learn about the quantmod package in R
Gain familiarity with the tools and techniques needed for the course by completing tutorials on the quantmod package.
Browse courses on R Programming
Show steps
  • Find and enroll in online tutorials or courses on the quantmod package.
  • Follow the tutorials and complete the exercises.
  • Experiment with the quantmod package on your own to gain a deeper understanding.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice pulling down stock data using the quantmod package
Build confidence and proficiency in using the quantmod package by practicing data retrieval.
Show steps
  • Find a dataset of stock prices.
  • Use the quantmod package to pull down the data.
  • Verify that the data was successfully retrieved.
Volunteer at a financial literacy non-profit organization
Enhance understanding of financial concepts and their practical application while giving back to the community.
Browse courses on Financial Literacy
Show steps
  • Research and identify financial literacy non-profit organizations in your area.
  • Contact the organization and inquire about volunteer opportunities.
  • Participate in volunteer activities, such as teaching financial literacy workshops or providing financial counseling.
  • Reflect on the experience and how it has broadened your understanding of financial concepts.
Attend a financial industry conference or event
Connect with professionals in the field, learn about industry trends, and explore potential career opportunities.
Browse courses on Networking
Show steps
  • Research and identify relevant financial industry conferences or events.
  • Register for the event and prepare an elevator pitch.
  • Attend the event, network with attendees, and collect business cards.
  • Follow up with connections made at the event.
Create a financial risk function
Demonstrate understanding of financial risk assessment and gain practical experience in applying the concepts covered in the course.
Browse courses on Quantitative Finance
Show steps
  • Choose a financial risk metric to focus on.
  • Research and understand the mathematical formula for calculating the metric.
  • Implement the formula in R using the quantmod package.
  • Write a report explaining the risk metric and how it is calculated.

Career center

Learners who complete Create a Buy Signal using RSI in R with the Quantmod Package will develop knowledge and skills that may be useful to these careers:
Portfolio Manager
Portfolio Managers are responsible for managing investment portfolios for clients. They use various analytical techniques to select and manage investments in order to achieve the client's financial goals. This course can be helpful for Portfolio Managers by providing them with a strong foundation in financial analysis and portfolio management.
Risk Manager
Risk Managers are responsible for identifying and managing financial risks. They use various techniques to assess the risk of different investments and develop strategies to mitigate those risks. This course can be helpful for Risk Managers by providing them with a strong understanding of financial risk assessment and management.
Financial Analyst
Financial Analysts are responsible for evaluating and making recommendations on investment decisions. They use various analytical techniques to assess the performance and risk of different investments. This course can be helpful for Financial Analysts by providing them with a strong foundation in financial data analysis and risk management.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical modeling to help firms make informed investment decisions. A background in statistics and a strong understanding of financial markets is essential for this role. This course can be particularly helpful for building a foundation in financial analytics and risk assessment, which are essential skills for Quantitative Analysts.
Investment Manager
Investment Managers are responsible for managing investment portfolios for clients. They use various analytical techniques to select and manage investments in order to achieve the client's financial goals. This course can be helpful for Investment Managers by providing them with a strong foundation in financial analysis and portfolio management.
Data Analyst
Data Analysts use data to help businesses make informed decisions. They use various statistical and data analysis techniques to identify trends, patterns, and insights in data. This course can be helpful for Data Analysts by providing them with a strong foundation in financial data analysis and risk assessment.
Financial Consultant
Financial Consultants provide financial advice to individuals and businesses. They use various techniques to assess clients' financial needs and develop strategies to help them achieve their financial goals. This course may be helpful for Financial Consultants by providing them with a strong foundation in financial analysis and risk assessment.
Economist
Economists use data and analysis to help businesses and governments make informed decisions. They use various techniques to identify trends, patterns, and insights in data. This course may be helpful for Economists by providing them with a strong foundation in financial data analysis and risk assessment.
Actuary
Actuaries use mathematics and statistics to assess and manage financial risks. They use various techniques to develop and price insurance products and to assess the financial impact of future events. This course may be helpful for Actuaries by providing them with a strong foundation in financial risk assessment and management.
Business Analyst
Business Analysts use data and analysis to help businesses improve their performance. They use various techniques to identify opportunities for improvement and develop strategies to implement those improvements. This course may be helpful for Business Analysts by providing them with a strong foundation in financial data analysis and risk assessment.
Statistician
Statisticians use data and analysis to help businesses and governments make informed decisions. They use various techniques to identify trends, patterns, and insights in data. This course may be helpful for Statisticians by providing them with a strong foundation in financial data analysis and risk assessment.
Data Scientist
Data Scientists use data and analysis to help businesses make informed decisions. They use various techniques to identify trends, patterns, and insights in data. This course may be helpful for Data Scientists by providing them with a strong foundation in financial data analysis and risk assessment.
Investment Banker
Investment Bankers help companies raise capital and provide financial advice. They use various techniques to assess companies' financial health and develop strategies to help them raise capital. This course may be helpful for Investment Bankers by providing them with a strong foundation in financial analysis and risk assessment.
Financial Planner
Financial Planners help individuals and families plan for their financial future. They use various techniques to assess clients' financial needs and develop strategies to help them achieve their financial goals. This course may be helpful for Financial Planners by providing them with a strong foundation in financial analysis and risk assessment.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use various programming languages and tools to create software that meets the needs of businesses and users. This course may be helpful for Software Engineers by providing them with a strong foundation in financial data analysis and risk assessment.

Reading list

We've selected 13 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 Create a Buy Signal using RSI in R with the Quantmod Package.
Classic in the field of security analysis. It provides a comprehensive overview of the subject and is considered one of the best books on security analysis ever written. This book valuable resource for anyone who wants to learn more about security analysis.
Comprehensive guide to the R programming language. It covers a wide range of topics, including data manipulation, statistical modeling, and visualization. This book valuable resource for anyone who wants to learn more about R or use it for financial analysis.
Classic in the field of investing. It provides a comprehensive overview of value investing and is considered one of the best books on investing ever written. This book valuable resource for anyone who wants to learn more about investing.
Classic in the field of technical analysis and provides a comprehensive overview of the subject. It covers a wide range of topics, including chart patterns, indicators, and trading strategies. This book valuable resource for anyone who wants to learn more about technical analysis and perfect compliment to the current course.
Provides a comprehensive overview of financial risk management. It covers a wide range of topics, including risk measurement, risk management techniques, and case studies. This book valuable resource for anyone who wants to learn more about financial risk management.
Provides a comprehensive overview of algorithmic trading. It covers a wide range of topics, including trading strategies, risk management, and backtesting. This book valuable resource for anyone who wants to learn more about algorithmic trading.
Provides a comprehensive overview of the principles of common sense investing. It valuable resource for anyone who wants to learn more about investing.
Provides a comprehensive overview of high-frequency trading. It covers a wide range of topics, including market microstructure, trading strategies, and risk management. This book valuable resource for anyone who wants to learn more about high-frequency trading.
Provides a comprehensive overview of machine learning techniques used in finance. It covers a wide range of topics, including supervised learning, unsupervised learning, and time series analysis. This book valuable resource for anyone who wants to learn more about machine learning used in finance.
Provides a comprehensive overview of statistical methods used in financial markets. It covers a wide range of topics, including probability, statistics, and financial econometrics. This book valuable resource for anyone who wants to learn more about statistical methods used in financial markets.

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