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TORRENT DETAILS
Udemy - Practical Data Science - Analyzing Stock Market Data With R
TORRENT SUMMARY
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Apply basic technical analysis on stock market data
Explore trading ideas and display entries and exits
Gain additional insights by comparing similar stocks
Requirements
Basic understanding of R
Access to R Console or RStudio
Interest in stock-market data
Description
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
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
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