Scraping articles from investing.com and performing sentimental analysis for algorithmic trading
The notebook contains a function which enables to scrape the news articles and do sentiment analysis from investing.com. We can use the output "polarity" of each article along with the time stamp of the article to guide our trading decisions. Change the link in the notebook for any commodity or stock.
time: Time of release of the article title: Title of the article link: link of the respective article full_artile: The entire article polarity: it the sentiment analysis, it has 4 classes and their values range from 0 to 1 # neg: the negitivity rating # neu: neutrailty rating # pos: positivity rating # compound: the combined rating to the article