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dsh-finance-db

Web Tools Updated 2026.08.22

Run the following command in DeepSeek Harness:

dsh plugin install zhiyaoli0221/dsh-finance-db

Paste the following prompt into your AI chat to install this plugin:

To install this plugin in DeepSeek Harness, run the command: dsh plugin install zhiyaoli0221/dsh-finance-db, or clone it from the GitHub URL https://github.com/zhiyaoli0221/dsh-finance-db and install locally.

About this plugin

Obtaining reliable, real-time market data is often a challenge in financial data analysis. dsh-finance-db is specifically designed for DeepSeek Harness, offering a set of read-only financial data tools that enable users to fetch data directly through native API calls, avoiding the complexity and instability of traditional web scraping. These tools cover live quotes, historical prices, fundamental information, news, and stock search, supporting A-share, Hong Kong, and US markets, ensuring efficient and structured data acquisition.

The plugin's core capabilities lie in its direct connection to upstream APIs and structured output. For instance, the finance_quote tool provides current price, changes, and volume, while the finance_ohlcv tool returns historical OHLCV data, with all results returned in JSON format for easy integration into analysis workflows. It also supports market overviews and health checks, using in-memory caching for performance optimization, requiring no database service, and being lightweight and composable.

dsh-finance-db is an ideal choice for researchers, data scientists, and developers who need efficient access to financial data. Whether for market trend analysis, stock screening, or news-assisted research, it offers reliable data support. Due to its read-only nature, it is also suitable for automated workflows, ensuring secure and compliant data acquisition without involving trading or account access.

Screenshots

Use Cases

  • Real-time stock quote lookup
  • Historical price data analysis
  • News-driven financial research

Best For

  • Financial data analysts
  • Quantitative researchers
  • Automation workflow developers