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Time Series Data Analysis

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Time Series Analysis

Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. The major components or pattern that are analyzed through time series are: Increase or decrease in the series of data over longer a period. Fluctuations in the pattern due to seasonal determinants over a short period.

I have tried to analyze and vizualize the Stocks dataset of 4 companies by performing below steps:

  1. Analyzed Closing Price of Stocks
  2. Trcaked Volume of Stocks being Traded on daily basis
  3. Examined daily Stocks price change
  4. Evaluated Monthly mean of closing price
  5. Correlation between stock prices of different companies
  6. Daily return of each stock and correlation between them
  7. Risk Analysis for all the companies

Closing Price of Stocks

closing_data

Volume of Stocks being Traded on daily basis

stocks_volume

Volume of Stocks being Traded on daily basis using Plotly

stocks_volume_plotly amazon google microsoft

Daily Stock Price change

daily_stock_change

Monthly mean of closing price of Apple

monthly_mean

Yearly mean of closing price of Apple

yearly_mean

Correlation between stock prices of different companies

correlation_companies

The more the diagram looks linear, the strong the correlation is!

correlation

Daily return of each stock and correlation between them

correlation_price_change

correlation2

Risk Analysis for all the companies

1. Apple

risk1

2. Amazon

risk2

3. Google

risk3

4. Microsoft

risk4

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