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$49 $9 – Analyzing Stock Market Data with R – Practical Data Science
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
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.
Who is this course for?
What you will learn
Course content
Develop all 18 sessions04:03:29
–Introduction
08:11
What is covered in this class
Preview1:36
Optional: R Console or RStudio?
Preview06:35
+Downloading Free Stock Market Data with R
1 session12:47
+Creating Amazing Stock Charts with quantmod
3 sessions30:59
+Applying technical analysis Indicators
6 sessions01:48:13
+Tracking Profit and Loss for Fun!
1 session17:33
+Analyzing Stocks in Groups
4 sessions01:05:17
+Conclusions
1 session00:30
Prerequisites
Stock trading course: Learn about Stock trading
A stock trader or equity trader or share trader is a person or company involved in trading equity securities.
Stock traders may be an agent, hedger, arbitrageur, speculator, stockbroker.
Such equity trading in large publicly traded companies may be through a stock exchange.
Stock shares in smaller public companies may be bought and sold in over-the-counter (OTC) markets.
Stock traders can trade on their own account, called proprietary trading, or through an agent authorized to buy and sell on the owner’s behalf.
Trading through an agent is usually through a stockbroker. Agents are paid a commission for performing the trade.
Major stock exchanges have market makers who help limit price variation (volatility) by buying and selling a particular company’s shares on their own behalf and also on behalf of other clients.
$49 $9 – Analyzing Stock Market Data with R – Practical Data Science