Practical Financial Investment Analysis in R and tidyquant

سرفصل های دوره

Conduct Financial Analysis and Portfolio Assessment With RStudio and tidyquant. Obtain & Work With Real Financial Data

1 - Welcome To the CoursePractical Financial Analysis in R

1 - Introduction To Course

2 - Data and Code.html

3 - Install R and RStudio

4 - Different Data Types

2 - Preliminary Data Processing in R

5 - Read CSV and Excel Data

6 - Read in Data from Online HTML TablesPart 1

7 - Read in Data from Online HTML TablesPart 2

8 - Editing Data Within R

9 - Data Cleaning in R

10 - More Data Cleaning

11 - Introduction to dplyr for Data SummarizingPart 1

12 - Introduction to dplyr for Data SummarizingPart 2

3 - Obtaining Financial Data in R

13 - Lets Get the Tesla Stock Prices

14 - Obtaining More Stocks and Data

15 - Getting Started With Quandl

16 - Quandl Financial Data

17 - Get Cryptocurrency Data

4 - Basic Visualisations and Processing Financial Data With Tidyquant

18 - Data VisualisationConceptual Foundations

19 - Basic Visualisations For Financial Data

20 - Some More Basic Visualisations

21 - What Are the Returns

22 - Visualise The Returns

23 - Stock Data At Different Time Scales

5 - Analysing Financial Performance

24 - Simple Moving Average SMA

25 - Moving average convergencedivergence MACD

26 - Lets Look At the Annual Returns

27 - Identify Most Frequent Large Positive Returns

28 - What Is the Sharpe Ratio

29 - Identify RiskAdjusted Returns With the Sharpe Ratio

30 - Compare To a Baseline

31 - Capital Asset Pricing Model CAPM

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تولید کننده: Udemy-Training