Ringkasan
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.
Fitur utama
- An LLM-assisted stock research system combining market data, news, dashboards and notifications.
Persyaratan, instalasi, dan mulai cepat
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).
Penggunaan
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).
Kompatibilitas model dan kasus penggunaan
Kompatibilitas model tidak tercantum dalam metadata repositori.
Catatan lisensi dan risiko
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.
Rilis dan pemeliharaan
[View upstream releases](https://github.com/ZhuLinsen/daily_stock_analysis/releases).