Practical Data Science Analyzing Stock Market Data with R

Practical Data Science Analyzing Stock Market Data with R

Practical Data Science Analyzing Stock Market Data with R

Name Product: Practical Data Science: Analyzing Stock Market Data with R
Download Size: 1.26 GB
COST: $30= Yours Free
Author: Manuel Amunategui
Sale Page:_https://www.udemy.com/practical-data-science-analyzing-stock-market-data-with-r/
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

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