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Asset News Sentiment Analyzer
GPT-based news sentiment and reports for financial assets
What it is
A Python package that uses GPT models for sentiment analysis of financial assets and securities and generates reports from the results. It processes news about an asset and turns the language model's reading into sentiment output and a written summary. Quant researchers and analysts who need to process financial news at scale are the intended users. It requires access to the GPT models it calls, and sentiment scores are model judgements that can be inconsistent.
At a glance
Research onlyOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Developers |
|---|---|
| Used for | Data analysis, Strategy research |
| Markets | Multi-market |
| Stack | Python |
| Learning curve | Easy to start |
| Practical value | Medium practical value |
| Cost | Free, with paid APIs |
| Hardware | No GPU needed |
| Maintenance | Last commit 3 months ago |
GitHub stars, last 30 days
Daily snapshots since 2026-09-28 (up to 30 days): −1 over the period, now 199. Gaps mean no snapshot was taken that day.
Sentiment analysis and report generation package for financial assets and securities utilizing GPT models.
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