PyPatel/Sentiment-Analysis-for-Trading
Using Natural Language Processing we developed working prototype of Sentiment analyser of NEWS
This project helps financial traders and analysts gauge market sentiment by processing financial news headlines. It takes in news articles or headlines related to specific stocks or indices and outputs a sentiment score, which can be used to inform trading decisions. The primary users are individual traders, quantitative analysts, or portfolio managers looking for an edge in predicting market movements.
No commits in the last 6 months.
Use this if you want to integrate news sentiment into your trading strategy or market analysis.
Not ideal if you need a fully open-source, production-ready trading system with real-time news feeds.
Stars
38
Forks
23
Language
Python
License
—
Category
Last pushed
Oct 09, 2017
Commits (30d)
0
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