Thierno88/Quantitative-Trading-Using-Twitter-Sentiment-Analysis
View on GitHub ↗Related repositories →This repository contains a project that showcases a quantitative investment strategy based on sentiment analysis of Twitter data. The goal of this project is to demonstrate how data science techniques can be applied to investment strategies, highlighting the potential utility of social media sentiment in financial decision-making.
active 2024-05-24 → 2024-11-06 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 167 days from 2024-05-24 to 2024-11-06. Pushes: 3 total, peak 3 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: 3 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
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- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Thierno88 | 3 | 3 | 0 | 0 |
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 — 3 stars here means stars gained during the window, not the repo's star count.