Обзор
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.
Основные функции
- An LLM-assisted stock research system combining market data, news, dashboards and notifications.
Требования, установка и быстрый старт
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).
Использование
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).
Совместимость моделей и варианты использования
В метаданных репозитория совместимость моделей не указана.
Лицензия и примечания о рисках
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.
Релиз и сопровождение
[View upstream releases](https://github.com/ZhuLinsen/daily_stock_analysis/releases).