Create Technical Stock Charts Using R and Quantmod

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Coursera Project Network
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在此指導項目中,您將:

Ability to pull down Stock Data using the R Quantmod Package.

Practice creating daily returns quickly on mutliple stocks simultaneously.

Apply a Techincal Indicators for stocks chosen (i.e., Bollinger Bands, RSI, EMA).

Clock2 Hours
Beginner初級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

In this 1-hour long project-based course, you will learn how to pull down Stock Data using the R quantmod Package and Yahoo Finance API. You will also learn how to apply Technical Indicators to the data and draw graphs based on those Indicators. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培養的技能

AnalyticsTechnical AnalysisModellingStock Analysis

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Task 1: In this Task the Learner will pull down data from Yahoo using Quantmod's 'getsymbols' function.

  2. Task 2: In this task the Learner will get familiar with the basic syntax in order to build basic graphs (i.e., Candlestick, Line, Bar, etc).

  3. Task 3: A Bollinger Band is a technical analysis tool defined by a set of lines plotted two standard deviations (positively and negatively) away from a simple moving average (SMA). In this Task the Learner will apply the Bollinger Band technical indicator.

  4. Task 4: The Learner will apply a technical trading indicator called thh relative strength index (RSI). RSI is a technical indicator used in stock analysis and is intended to chart the current and historical strength or weakness of a stock or market based on the closing prices of a recent trading period.

  5. Task 5: In this Task the Learner will apply the exponential moving average using a built in quantmod function.

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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