The Retail Investor News Analysis web application uses Natural Language Processing (NLP) and large language models to analyze news articles and provide insights to retail investors. The application allows users to stay informed about market trends, sentiments, and important events by analyzing a specified time period of news articles.
active 2023-10-22 → 2023-10-22 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-10-22 to 2023-10-22. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.