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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 and Yahoo Finance API. You will also learn how to apply Technical Indicators to the data and draw graphs based on those Indicators.
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/o4uhpq/create
What's inside
Syllabus
Project Overview
Here you will describe what the project is about. It should give an overview of what the learner will achieve by completing this project.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills in using the R quantmod Package and Yahoo Finance API for extracting and analyzing stock data
Provides hands-on experience through a project-based format, empowering learners with practical knowledge
Application of technical indicators to stock data analysis enhances learners' understanding of financial markets
Suitable for learners based in the North America region, catering to their specific needs and market context
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Reviews summary
Intro to technical stock charts
Learners say that Create Technical Stock Charts Using R and Quantmod is a largely positive experience that is especially well received by beginners who are looking to learn basics of stock analysis. According to students, the course has engaging assignments and is taught by great instructors who make learning fun and easy. However, some students wished that explanations were not so fast.
This is a good follow-up to Quantmod 1
"If you take this after quantmod 1, you will be able to do some basic stock analysis"
Instructor Chris is amazing!
"Instructor Chris makes everything easier"
Assignments are engaging
Good for beginners
"Wonderful course for beginners"
Learners can expect introductory technical stock charts
"This course help me to read technical charts"
The cloud workspace is not reliable
"The cloud workspace R project did not run"
Some explanations were too fast
"the person explaining was too fast and i found it difficult to understand"
Content could be more thorough
"This course is a rip-off"
"I did this in less than 30 minutes."
"Very disappointing. The provided information can be found on the Quantmod package and other pages for free, and the Technical Stock Chart related background information is not explained at all"
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 Technical Stock Charts Using R and Quantmod with these
activities:
Stock Market Glossary
Show steps
This activity will help you build your knowledge of stock market terminology.
Browse courses on
Technical Analysis
Show steps
-
Create a list of stock market terms and their definitions.
-
Categorize the terms by topic.
-
Add examples and visuals to help you remember the terms.
Practice Drawing Charts
Show steps
This activity will help you develop your charting skills, which are essential for visualizing stock data.
Show steps
-
Create line charts, bar charts, and candlestick charts.
-
Add technical indicators to your charts.
-
Identify trends and patterns in the charts.
Technical Analysis Tutorial
Show steps
This activity will help you understand the basics of technical analysis and how to use it to make informed trading decisions.
Browse courses on
Technical Analysis
Show steps
-
Learn about different technical indicators and how they are used.
-
Practice identifying technical patterns.
-
Backtest your trading strategies using historical data.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Data Extraction and Cleaning
Show steps
This activity will help you solidify your data extraction and cleaning skills, which are essential for working with stock data.
Browse courses on
Data Extraction
Show steps
-
Import stock data into R using the quantmod package.
-
Handle missing data and outliers.
-
Normalize the data to make it easier to compare.
Stock Market Research Project
Show steps
This project will allow you to apply your research skills to make informed investment decisions.
Browse courses on
Fundamental Analysis
Show steps
-
Choose a stock or industry to research.
-
Gather data from financial statements, news articles, and other sources.
-
Analyze the data and formulate your investment thesis.
Stock Market Simulation Project
Show steps
This project will allow you to apply the skills you learned in the course to make real-world trading decisions.
Browse courses on
Stock Trading
Show steps
-
Develop a trading strategy.
-
Backtest your strategy using historical data.
-
Execute your strategy with a small amount of real money.
Mentor a Beginner Trader
Show steps
This activity will allow you to share your knowledge and help others learn about stock investing.
Show steps
-
Find a beginner trader who is looking for guidance.
-
Meet with your mentee regularly to discuss their progress.
-
Provide feedback and support to help your mentee achieve their goals.
Contribute to an Open Source Stock Market Project
Show steps
This activity will allow you to contribute to the open source community and learn from other developers.
Browse courses on
Open Source
Show steps
-
Find a suitable open source stock market project.
-
Contribute code, documentation, or other resources to the project.
-
Collaborate with other developers to improve the project.
Stock Market Glossary
Show steps
This activity will help you build your knowledge of stock market terminology.
Browse courses on
Technical Analysis
Show steps
Show steps
Show steps
- Create a list of stock market terms and their definitions.
- Categorize the terms by topic.
- Add examples and visuals to help you remember the terms.
Practice Drawing Charts
Show steps
This activity will help you develop your charting skills, which are essential for visualizing stock data.
Show steps
Show steps
Show steps
- Create line charts, bar charts, and candlestick charts.
- Add technical indicators to your charts.
- Identify trends and patterns in the charts.
Technical Analysis Tutorial
Show steps
This activity will help you understand the basics of technical analysis and how to use it to make informed trading decisions.
Browse courses on
Technical Analysis
Show steps
Show steps
Show steps
- Learn about different technical indicators and how they are used.
- Practice identifying technical patterns.
- Backtest your trading strategies using historical data.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Data Extraction and Cleaning
Show steps
This activity will help you solidify your data extraction and cleaning skills, which are essential for working with stock data.
Browse courses on
Data Extraction
Show steps
Show steps
Show steps
- Import stock data into R using the quantmod package.
- Handle missing data and outliers.
- Normalize the data to make it easier to compare.
Stock Market Research Project
Show steps
This project will allow you to apply your research skills to make informed investment decisions.
Browse courses on
Fundamental Analysis
Show steps
Show steps
Show steps
- Choose a stock or industry to research.
- Gather data from financial statements, news articles, and other sources.
- Analyze the data and formulate your investment thesis.
Stock Market Simulation Project
Show steps
This project will allow you to apply the skills you learned in the course to make real-world trading decisions.
Browse courses on
Stock Trading
Show steps
Show steps
Show steps
- Develop a trading strategy.
- Backtest your strategy using historical data.
- Execute your strategy with a small amount of real money.
Mentor a Beginner Trader
Show steps
This activity will allow you to share your knowledge and help others learn about stock investing.
Show steps
Show steps
Show steps
- Find a beginner trader who is looking for guidance.
- Meet with your mentee regularly to discuss their progress.
- Provide feedback and support to help your mentee achieve their goals.
Contribute to an Open Source Stock Market Project
Show steps
This activity will allow you to contribute to the open source community and learn from other developers.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Find a suitable open source stock market project.
- Contribute code, documentation, or other resources to the project.
- Collaborate with other developers to improve the project.
Career center
Learners who complete Create Technical Stock Charts Using R and Quantmod will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their knowledge of computer science, statistics, and mathematics to analyze data and extract insights. They may use their knowledge of R and the quantmod package to analyze stock data and identify trends or patterns. This course can help Data Scientists build a foundation in using R and the quantmod package for stock data analysis, which may be useful for their work.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use their knowledge of computer science and statistics to develop and implement machine learning models. They may use their knowledge of R and the quantmod package to analyze stock data and develop trading strategies. This course can help Machine Learning Engineers build a foundation in using R and the quantmod package for stock data analysis, which may be useful for their work.
Statistician
Statistician
Statisticians use their knowledge of statistics and mathematics to collect, analyze, and interpret data. They may use their knowledge of R and the quantmod package to analyze stock data and identify trends or patterns. This course can help Statisticians build a foundation in using R and the quantmod package for stock data analysis, which may be useful for their work.
Software Engineer
Software Engineer
Software Engineers use their knowledge of computer science to design, develop, and implement software applications. They may use their knowledge of R and the quantmod package to develop software applications for financial data analysis. This course can help Software Engineers build a foundation in using R and the quantmod package for stock data analysis, which may be useful for their work.
Data Analyst
Data Analyst
Data Analysts use their knowledge of data analysis techniques and tools to help businesses make informed decisions. They may use their knowledge of R and the quantmod package to analyze stock data and identify trends or patterns. This course can help Data Analysts build a foundation in using R and the quantmod package for stock data analysis, which may be useful for their work.
Financial Analyst
Financial Analyst
Financial Analysts use their knowledge of finance and economics to evaluate and make recommendations on investments. They may use their knowledge of R and the quantmod package to analyze stock data and identify potential investment opportunities. This course can help Financial Analysts build a foundation in using R and the quantmod package for stock data analysis, which may be useful for their work.
Risk Analyst
Risk Analyst
Risk Analysts use their knowledge of finance and mathematics to evaluate and manage financial risks. They may use their knowledge of R and the quantmod package to analyze stock data and identify potential risks. This course can help Risk Analysts build a foundation in using R and the quantmod package for stock data analysis, which may be useful for their work.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use their knowledge of mathematics and statistics to develop and implement financial models. They may use their knowledge of R and the quantmod package to analyze stock data and develop trading strategies. This course can help Quantitative Analysts build a foundation in using R and the quantmod package for stock data analysis, which may be useful for their work.
Portfolio Manager
Portfolio Manager
Portfolio Managers use their knowledge of finance and economics to manage investment portfolios for clients. They may use their knowledge of R and the quantmod package to analyze stock data and make investment decisions. This course can help Portfolio Managers build a foundation in using R and the quantmod package for stock data analysis, which may be useful for their work.
Economist
Economist
Economists use their knowledge of economics to analyze economic data and develop economic models. They may use their knowledge of R and the quantmod package to analyze stock data and identify economic trends. This course can help Economists build a foundation in using R and the quantmod package for stock data analysis, which may be useful for their work.
Financial Advisor
Financial Advisor
Financial Advisors use their knowledge of finance and economics to provide financial advice to clients. They may use their knowledge of R and the quantmod package to analyze stock data and make investment recommendations. This course can help Financial Advisors build a foundation in using R and the quantmod package for stock data analysis, which may be useful for their work.
Financial Engineer
Financial Engineer
Financial Engineers use their knowledge of finance and mathematics to develop and implement financial products. They may use their knowledge of R and the quantmod package to analyze stock data and develop new financial products. This course can help Financial Engineers build a foundation in using R and the quantmod package for stock data analysis, which may be useful for their work.
Investment Analyst
Investment Analyst
Investment Analysts use their knowledge of finance and economics to evaluate and make recommendations on investments. They may use their knowledge of R and the quantmod package to analyze stock data and identify potential investment opportunities. This course can help Investment Analysts build a foundation in using R and the quantmod package for stock data analysis, which may be useful for their work.
Trader
Trader
Traders use their knowledge of finance and economics to buy and sell stocks for their own account or for clients. They may use their knowledge of R and the quantmod package to analyze stock data and make trading decisions. This course can help Traders build a foundation in using R and the quantmod package for stock data analysis, which may be useful for their work.
Computational Finance Engineer
Computational Finance Engineer
Computational Finance Engineers use their knowledge of computer science, finance, and mathematics to develop and implement financial models. They may use their knowledge of R and the quantmod package to analyze stock data and develop trading strategies. This course can help Computational Finance Engineers build a foundation in using R and the quantmod package for stock data analysis, which may be useful for their work.
For more career information including salaries, visit:
OpenCourser.com/course/o4uhpq/create
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 Technical Stock Charts Using R and Quantmod.
Is comprehensive and in-depth, providing a strong foundation in technical analysis concepts. Its focus on real-world examples makes it a valuable reference.
This classic provides a time-tested approach to value investing, emphasizing the importance of careful analysis and long-term perspective.
This compilation of interviews with successful traders offers valuable insights into their mindset, strategies, and risk management.
This academic text provides a deep understanding of the structure and operation of financial markets, essential for professionals in the field.
Save
This comprehensive book teaches R programming, which is used for data analysis in this course and is widely used in the field.
Save
This introductory investment guide from the founder of Vanguard provides a clear and concise introduction to financial concepts.
Save
This interdisciplinary book explores the psychological and sociological aspects of financial markets, providing insights into investor behavior.
This beginner-friendly guide to Python provides a solid foundation for working with data, which is essential for technical analysis.
Save
This practical guide specifically focuses on the foreign exchange (forex) market, providing hands-on strategies and techniques.
This advanced text covers the mathematical and statistical foundations of quantitative trading, providing a strong theoretical grounding.
Save
This advanced text provides a strong foundation in time series analysis, which is essential for understanding financial markets.
Save
This practical guide introduces algorithmic trading concepts and strategies, providing a foundation for further exploration.
Save
This popular book explores the science of habit formation, providing insights into how to develop positive financial habits.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/o4uhpq/create
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Effort
2 Hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Chris Shockley
Language
English
Good to know
Develops skills in using the R quantmod Package and Yahoo Finance API for extracting and analyzing stock data
Provides hands-on experience through a project-based format, empowering learners with practical knowledge
Application of technical indicators to stock data analysis enhances learners' understanding of financial markets
Suitable for learners based in the North America region, catering to their specific needs and market context
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