china-stock-analyzer使用本 skill 自带的 fetch.py 和 analyze.py,对 A 股个股做短期趋势分析。 Use this skill whenever the user asks to analyze A-share stocks, ETFs (like A500/159339), check short-ter...
Install via ClawdBot CLI:
clawdbot install yuanfuc/china-stock-analyzerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://hq.sinajs.cn/list={codes_str}Audited Apr 16, 2026 · audit v1.0
Generated May 21, 2026
Users input a stock code or name like '招商银行' or '600036' to get short-term trend, weekly and daily change, buy/sell/hold signal, and a 0-10 score. The skill uses fetch.py and analyze.py to compute MA, MACD, RSI indicators.
Users can analyze ETFs such as 'A500' or '159339' to check if the ETF is in a bullish, bearish, or sideways trend, along with weekly and today change percentages. The analysis provides a score and signal to help with short-term decisions.
Users ask for real-time quote data of a stock, such as current price, change, volume, and bid-ask order book. The skill calls real_time.py to fetch live data from Sina API and can generate a structured intraday report.
Users can input multiple stocks or ETFs in one query to get a batch of trend analyses. The skill processes each symbol through fetch.py and analyze.py, returning concise results for each to facilitate rapid portfolio review.
Users ask for explanations of specific indicators like MACD, RSI, moving averages, or trend strength derived from the analysis. The skill can break down fields like macd_strength, rsi_zone, ma_pattern, and risk_level in plain language.
Offer the skill as a premium feature within a trading software or chatbot platform, charging monthly or yearly fees for access to advanced technical analysis and real-time data.
License the analysis engine to financial data providers, brokerages, or fintech apps, integrating the trend analysis and scoring into their own products.
Provide basic trend analysis for free (e.g., weekly change, trend direction) and charge for deeper insights like detailed indicator explanations, risk levels, and real-time snapshots.
💬 Integration Tip
Integrate by calling fetch.py and analyze.py as Python modules; ensure Python 3.9+ and pandas/akshare are installed. For real-time data, use real_time.py directly.
Scored May 21, 2026
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