datatk-quoteReal-time stock market data via QuoteNode API. Query quotes, K-lines, tick trades, Level-2 depth, and trading calendars for US/HK/CN markets.
Install via ClawdBot CLI:
clawdbot install fengxiaozi-liu/datatk-quoteGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://www.datatk.com/serviceAudited Apr 18, 2026 · audit v1.0
Generated Mar 22, 2026
Financial advisors and individual investors use this skill to track live stock prices, K-lines, and Level-2 depth data for US, HK, and CN markets. It enables quick decision-making by providing up-to-date quotes and trade details, helping users monitor portfolio performance and identify market opportunities.
Quantitative trading firms integrate this skill into automated systems to fetch real-time market data for backtesting and execution strategies. By accessing tick trades and trading calendars, algorithms can adjust positions based on live market conditions, improving trade accuracy and efficiency.
Research analysts and data scientists utilize this skill to gather historical K-lines and detailed stock information for market trend analysis and report generation. It supports data-driven insights by providing structured JSON responses that can be processed for statistical modeling and forecasting.
Developers building mobile or web applications for stock trading or financial news use this skill to embed real-time market feeds. It allows apps to display current quotes, depth data, and trading schedules, enhancing user engagement with accurate and timely financial information.
Offer tiered subscription plans where users pay monthly or annually for access to real-time market data via the QuoteNode API. Revenue is generated from financial institutions, fintech startups, and individual traders who require reliable, high-frequency data feeds for their operations.
Provide customized data packages and analytics services built on top of the market data, targeting hedge funds and research firms. This model involves bundling raw data with value-added insights, such as trend reports or predictive analytics, to command higher prices.
License the skill and API to third-party platforms, such as brokerage apps or financial software, allowing them to rebrand and integrate the market data seamlessly. Revenue comes from licensing fees and partnerships, leveraging the skill's RESTful design for easy adoption.
💬 Integration Tip
Ensure env.json is properly configured with endpoint and apiKey from datatk.com, and use the provided request.mjs script for testing endpoints before full integration.
Scored Apr 19, 2026
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