ianramzy/stock-news-analysis
📰 Web app built with Flask that given a stock ticker will scrape dozens of articles off of Nasdaq.com and run them through a machine learning model for analysis.
This tool helps individual investors and traders quickly get a sentiment analysis of a specific stock. You provide a stock ticker, and it gathers numerous news articles from Nasdaq.com, then processes them to give you an overall sentiment from a machine learning model. It's designed for anyone looking to gauge public and news sentiment surrounding their stock holdings or potential investments.
No commits in the last 6 months.
Use this if you want a fast, automated way to understand the general sentiment from news articles about a particular stock before making investment decisions.
Not ideal if you require in-depth fundamental analysis, technical charting, or a detailed breakdown of individual article sentiment rather than an aggregated view.
Stars
28
Forks
8
Language
Python
License
MIT
Category
Last pushed
Mar 20, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/perception/ianramzy/stock-news-analysis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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