Time Series Analysis

In this article, we will explore the following key areas:

1.  Installing necessary libraries

2.  Extracting End-of-Day Data for a Single Security – Retrieve daily closing prices for a specific security using Python. 

3.  Extracting End-of-Day Data for Multiple Securities – Extend the example to fetch end-of-day data for multiple securities.

4.  Extracting Intraday Data – Show how to retrieve intraday data for a specific security.

5.  Resampling – Illustrate how to resample data to a different frequency (e.g., weekly or monthly).

6.  Visualization through Interactive Charts – Demonstrate various interactive chart visualizations using Python libraries like Cufflinks.

The attached PDF delves into the exploration of data from Nifty, Reliance, Bharti Airtel, TCS, HUL, and HDFC Bank. The analysis involves the creation of diverse charts, such as Price series using line charts, OHLC, Candlestick, subplots, normalized plots, rolling returns, and normal distribution charts.