Web_scraping_with_Python
Web Scraping and Stock price analysis using Python and Beautiful Soup
Being an early stage investor and curious about the stock market analysis. This project includes the data collection of the Stock company from the yahoo finance website using web scraping with Beautiful Soup and Python.
url = 'https://in.finance.yahoo.com/quote/ORIENTCEM.NS/history?p=ORIENTCEM.NS'
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36'}
data = requests.get(url, headers = headers, timeout=5).text
soup = BeautifulSoup(data, 'html5lib')
Collected data were transferred into a DataFrame and the Candlestick chart was build using Python.
Time Series Analysis
Time-Series-Analysis is also performed on the stock prices of Apple. Data of the past year 09.2020 - 09.2021 were collected from the yahoo finance.
Machine learning regression model to predict future closing price of the stock
A Linear regression model was build to predict the future closing price of the stock
