Daily Portfolio Watch Beta

Problem It Solves

Daily portfolio checking usually means manually reviewing prices, announcements, fund flow, and news, while A-share, HK, and US markets close at different times. Daily Portfolio Watch Beta turns that repetitive task into an automated daily report. Its goal is not trading advice, but a structured summary of price action, volume behavior, announcements, and public sentiment that can be reviewed quickly.

How It Works

• Data sources: prices, K-line, technicals, fund flow, and announcements mainly come from the public westock-data-skillhub interface; sentiment and news are collected via web_search and then condensed into concise analysis instead of raw link dumps.
• Output: the skill produces a mobile-friendly PDF, an HTML version, and a structured data.json. Each holding shows key daily metrics such as open, high, low, close, turnover, volume, turnover rate, and amplitude.
• Anomaly alerts: it compares recent behavior against roughly a 20-trading-day historical average to flag unusual volume, turnover, amplitude, and price movement, helping the user spot risk quickly.
• Execution: the built-in run_report.py orchestrates parallel data retrieval, parsing, rendering, and timing. It supports ah, us, and all scopes, matching evening A-share/HK reports and post-US-close reports.

Boundaries And Notes

This skill is for personal holdings tracking and information aggregation. Public data may be delayed, and official exchange or company disclosures should be treated as authoritative. Sentiment analysis is an interpretation of public web information, not investment advice. If a market does not support a data module, the report marks it as unavailable or uses a conservative note rather than inventing figures.