Panoramica
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.
Funzionalità principali
- An LLM-assisted stock research system combining market data, news, dashboards and notifications.
Requisiti, installazione e avvio rapido
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).
Utilizzo
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).
Compatibilità del modello e casi d'uso
La compatibilità del modello non è indicata nei metadati del repository.
Note su licenza e rischi
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.
Rilascio e manutenzione
[View upstream releases](https://github.com/ZhuLinsen/daily_stock_analysis/releases).