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STOCK MARKET ANALYSIS (NIFTY 50)

Stock market analysis enables investors to identify the intrinsic worth of a security even before investing in it. All stock market tips are formulated after thorough research by experts. Stock analysts try to find out activity of an instrument/sector/market in future. By using stock analysis, investors and traders arrive at equity buying and selling decisions.

This project analysis the dataset of price action of nifty 50 from 3 April 2020 to 1 April 2021 . The data has been downloaded
from the official website of National Stock Exchange and uploaded on kaggle.

The purpose of this project is to comparatively analyze the effectiveness of prediction algorithms on stock market data and get general insight on this data through visualization to predict future stock behavior and value at risk for each stock. The project encompasses the concept of Data Mining and Statistics. This project makes heavy use of NumPy, Pandas, and Data Visualization Libraries.

Downloading the Dataset

!pip install jovian opendatasets --upgrade --quiet

Let's begin by downloading the data, and listing the files within the dataset.

# Link of Dataset
dataset_url = 'https://www.kaggle.com/uditgarg18/nifty-20202021'