Overview
An LLM-assisted stock research system combining market data, news, dashboards and notifications. The repository is maintained under ZhuLinsen on GitHub. Its primary language is Python. See the [project README](https://github.com/ZhuLinsen/daily_stock_analysis#readme) for the supported workflows.
Key features
- An LLM-assisted stock research system combining market data, news, dashboards and notifications.
Requirements, installation and quick start
Use the installation or download entry linked from the upstream README. Configure the local environment and any external services needed for your intended workflow.
[Read the upstream installation and quickstart instructions](https://github.com/ZhuLinsen/daily_stock_analysis#readme).
[Read the upstream installation and quickstart instructions](https://github.com/ZhuLinsen/daily_stock_analysis#readme).
Usage
Start with a small example matching your workflow, review its results, and configure the available settings for your own data and environment.
[Usage examples and configuration reference](https://github.com/ZhuLinsen/daily_stock_analysis#readme).
[Usage examples and configuration reference](https://github.com/ZhuLinsen/daily_stock_analysis#readme).
Model compatibility and use cases
Model compatibility is not stated in the repository metadata.
License and risk notes
GitHub reports MIT for this repository. Review the upstream license file; model weights, datasets and dependencies may have separate terms.
Source review 2026-09-05: GitHub search metadata and repository README. No runtime benchmark performed. License metadata: MIT.
Release and maintenance
[View upstream releases](https://github.com/ZhuLinsen/daily_stock_analysis/releases).