dsh-us-stocks

When a DeepSeek Harness agent needs to pull real-time US stock data, the traditional approach is often inefficient and brittle—relying on web searches to scrape pages one by one, followed by parsing raw HTML with cumbersome shell commands. This process is slow, error-prone, and wastes the agent's computational budget. The dsh-us-stocks plugin solves this problem by providing six dedicated, first-class tools that deliver structured data directly. It replaces the improvised, multi-step scraping workflow with clean, efficient calls for quotes, historical prices, financial statements, analyst views, news, and ownership data, dramatically improving both speed and reliability while letting the agent focus on analysis and reasoning.

At its core, the plugin offers a comprehensive suite of data interfaces. It can fetch real-time quotes with detailed metrics like market cap, P/E, EPS, and dividend yields, as well as daily or intraday historical OHLCV bars, complete with automatic splits and dividend adjustments and even candlestick chart visualization in compatible interfaces. For deeper analysis, it retrieves quarterly or annual income statements, balance sheets, and cash flow statements, intelligently handling reporting currency differences for ADRs. Beyond the fundamentals, agents can access consensus analyst ratings, price targets, recent broker upgrades/downgrades, breaking news headlines, and detailed insider and institutional ownership changes. The plugin also includes specialized support for ETFs and mutual funds, providing crucial fund-specific data like expense ratios, total assets, and top holdings.

This plugin is ideal for any DeepSeek Harness user, financial application developer, or quantitative analyst who needs to interact with US equity data. If you are building intelligent workflows that depend on market information or want to move away from fragile web scraping, dsh-us-stocks is a powerful asset. By standardizing data access into clean, structured outputs, it enables agents to gather the information they need with minimal tool calls and maximum speed. This frees up valuable inference and processing resources for the core tasks of analysis, whether it's conducting rapid market scans, complex financial modeling, or generating comprehensive investment reports.