a-stock-monitor-1A股量化监控系统 - 7维度市场情绪评分、智能选股引擎（短线5策略+中长线7策略）、实时价格监控、涨跌幅排行榜。支持全市场5000+股票数据采集与分析，多指标共振评分，精确买卖点计算，动态止损止盈。每日自动推荐短线3-5只、中长线5-10只优质股票。包含Web界面、自动化Cron任务、历史数据回溯。适用于A股量化...
Install via ClawdBot CLI:
clawdbot install nuradil/a-stock-monitor-1Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
webhook → https://open.larksuite.com/open-apis/bot/v2/hook/YOUR_WEBHOOKCalls external URL not in known-safe list
https://www.cnblogs.com/Jame-meiAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
Retail investors use this skill for daily stock screening and real-time monitoring to identify short-term trading opportunities (1-5 days) and medium-to-long-term investments (20-180 days). It helps them make data-driven decisions with automated alerts and a web dashboard for market sentiment analysis.
Advisory firms leverage the skill to generate daily stock recommendations for clients, using its 7-dimensional market sentiment scoring and multi-strategy selection engine. It supports client portfolio management with precise buy/sell points and dynamic stop-loss/profit targets.
Hobbyists or amateur quant traders utilize the skill for backtesting strategies and automating data collection across 5000+ A-share stocks. It aids in developing custom alerts and integrating with cron jobs for scheduled analysis during trading hours.
Universities or training centers incorporate this skill into finance curricula to teach students about A-share market analysis, technical indicators, and automated trading systems. It provides hands-on experience with real-time data and web visualization tools.
Tech startups use the skill as a foundational module to build proprietary trading bots, leveraging its data fetching, sentiment analysis, and stock selection capabilities. It accelerates development by offering pre-built scripts and APIs for market monitoring.
Offer basic features like market sentiment and limited stock monitoring for free, while charging a monthly fee for advanced features such as enhanced long-term selection, priority alerts, and historical data access. Revenue comes from tiered subscriptions targeting individual investors and small firms.
License the skill's technology to existing trading platforms or brokerages, allowing them to integrate A-share analysis tools into their services. Revenue is generated through licensing fees or revenue-sharing agreements based on user engagement.
Provide customized analysis reports and consulting services based on the skill's outputs, such as tailored stock recommendations or market sentiment insights for institutional clients. Revenue comes from one-time project fees or retainer contracts.
💬 Integration Tip
Ensure Python 3.9+ and required packages (akshare, flask, ccxt) are installed; configure cron jobs for automated updates during A-share trading hours (9:15-15:00 Asia/Shanghai) to maintain data accuracy.
Scored Apr 19, 2026
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