ftshare-market-data非凸科技金融数据技能集(https://market.ft.tech/gateway/doc)。覆盖 A 股股票列表、行情、IPO、大宗交易、融资融券、单股行情估值、可转债、ETF、基金、指数(含分页指数描述、下载描述 PDF、权重汇总/成份明细、下载权重 xlsx、详情/K 线/分时)、宏观经济,以及港股公司介绍/估值分析/基础视图/K线、东财美股列表/历史K线/最新行情、 美股基础信息/利润表/现金流量表/资产负债表、港股财报三表(利润/现金流/资产负债)/东财港股指数日K线等接口。用户询问 A 股、港股、美股的代码、行情、估值、K线、指数权重/描述、新闻与宏观数据时使用。
Install via ClawdBot CLI:
clawdbot install shawn92/ftshare-market-dataGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://market.ft.tech`Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Retail investors can use this skill to access real-time A-share market data, including stock quotes, IPO listings, and margin trading details, to make informed investment decisions. For example, they can query specific stock valuations or track new listings to identify opportunities.
Fund managers can leverage the skill to analyze market trends by fetching bulk data like block trades and ETF PCF lists, aiding in portfolio management and risk assessment. It supports sorting and filtering for efficient data extraction across large datasets.
Companies can monitor their own stock announcements and reports, ensuring timely compliance with regulatory disclosures. The skill allows downloading PDFs of specific announcements via URL hashes for audit and record-keeping purposes.
Traders can perform semantic searches on recent financial news to gauge market sentiment and react to events. The skill provides news with sources and links, though data is limited to the past half-year, making it suitable for short-term trading strategies.
Researchers can access historical data on convertible bonds, macroeconomic indicators, and stock performance for academic studies. The skill's structured API calls facilitate data collection for papers or models analyzing A-share market dynamics.
Offer tiered subscriptions for access to real-time and historical A-share data, targeting financial institutions and individual investors. Revenue is generated through monthly or annual fees based on data volume and API call limits.
License the skill's APIs to fintech platforms, brokerages, or trading apps for integration into their services. This model involves upfront licensing fees or revenue-sharing agreements based on usage metrics.
Provide advanced analytics, custom reports, or downloadable data sets (e.g., PCF XML files) for a premium. This caters to professionals needing in-depth analysis, with revenue from one-time purchases or add-on services.
💬 Integration Tip
Ensure proper parameter formatting (e.g., stock codes with market suffixes like .SH) and handle pagination for large datasets to optimize API calls and avoid timeouts.
Scored Jul 20, 2026
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