Udemy – Practical Data Science: Analyzing Stock Market Data with R
MP4 | Video: 1280x720 | 58 kbps | 44 KHz | Duration: 5 Hours | 1.26 GB
Genre: eLearning | Language: English
In this class, we will explore various technical and quantitative analysis techniques using the R programming language. I will code as I go and explain what I am doing. All the code is included in PDFs attached to each lecture. I encourage you to code along to not only better understand the concepts but realize how easy they are.
What We'll Cover
Easily access free, stock-market data using R and the quantmod package
Build great looking stock charts with quantmod
Use R to manipulate time-series data
Create a moving average from scratch
Access technical indicators with the TTR package
Create a simple trading systems by shifting time series using the binhf package
A look at trend-following trading systems using moving averages
A look at counter-trend trading systems using moving averages
Using more sophisticated indicators (ROC, RSI, CCI, VWAP, Chaikin Volatility)
Grouping stocks by theme to better understand them
Finding coupling and decoupling stocks within an index
What This Class Isn't
This class isn't about telling you how to trade or revealing secret trading methods, but to show how easy it is to explore the stock market using R so you can come up with your own ideas.
What are the requirements?
Basic understanding of R
Access to R Console or RStudio
Interest in stock-market data
What am I going to get from this course?
Over 18 lectures and 4 hours of content!
Use R on stock market data for insight and ideas
Download free, daily stock market data from Yahoo
Plot great looking financial charts
Apply basic technical analysis on stock market data
Explore trading ideas and display entries and exits
Gain additional insights by comparing similar stocks
What is the target audience?
Those looking to expand their R skills on stock market data
Those looking to come up with their own conclusions about the markets
NOT for those seeking easy stock tips or secret trading systems
发布日期: 2015-08-16