Udemy - Practical Data Science - Analyzing Stock Market Data with R

[ FreeCourseWeb.com ] Practical Data Science: Analyzing Stock Market Data with R



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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz

Language: English | VTT | Size: 1.29 GB | Duration: 7 section | 18 lectures | (4h 3m)

What you'll learn

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



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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