SFC Comprehensive Financial Data

Problem

Financial data queries are often spread across quotes, financial statements, macro series, news, cash flow, and ranking APIs. Engineers need a capability that turns natural-language questions such as “how is XX today”, “which stocks hit the limit-up board”, or “how is the solar sector doing” into structured queries and analysis, without exposing API paths, script names, or collection codes in the final answer.

How It Works

sfc-data-comprehensive builds on the Southern Finance terminal API and covers A-shares, ETFs, funds, sectors, and macro scenarios. Key capabilities include:

• Real-time quotes: current price, change, volume, turnover, and K-line data;
• Trend and integrated analysis: combine quotes, news, and technical context into tables, summaries, and conclusions;
• Financial data: income statement, cash flow, balance sheet, and metrics such as PE(TTM), PB, and ROE;
• Macro and news: GDP, CPI, PPI, company announcements, and breaking updates;
• Rankings and limit-up statistics: detect stock, ETF, fund, and sector gainers/losers, with fallback from the consecutive-limit API to the big-gain API when needed.

Deep analysis follows a fixed structure covering macro environment, industry position, fundamentals, valuation, technical behavior, risk checks, and overall judgment. It can also generate K-line charts and PDF reports.

Boundaries

This skill is suitable for data lookup, quote summaries, stock analysis, and report drafting, but results depend on upstream data quality. The PE returned by real-time quotes may be unreliable, so valuation metrics should be read from TQ_SK_OVERVIEW_INDEX_2. A valid SFC_TOKEN must be configured; otherwise the skill retries and then asks the user to configure it. The output includes strategy templates for research use and should not be treated as a guarantee of returns.