a-stock-monitor
A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股量化交易、技术分析、选股决策。
Why use this skill?
Optimize A-share trading with a-stock-monitor. Real-time market data, 12+ quantitative strategies, and smart sentiment scoring to find your next winning trade.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/jame-mei-ltp/a-stock-monitorWhat This Skill Does
a-stock-monitor is a sophisticated quantitative analysis and stock screening system tailored for the A-share market. It acts as a digital analyst, integrating real-time market data to monitor over 5,000 stocks. The skill employs a multi-dimensional emotional scoring system (7 factors) and two distinct selection engines: a short-term engine featuring 5 technical strategies and a mid-to-long-term engine featuring 7 fundamental and trend-based strategies. With its dual-source data architecture (Sina Finance for speed and AKShare for reliability), it provides precise buy/sell signals, dynamic stop-loss calculations, and automated daily stock recommendations.
Installation
To install this skill, run the following command in your OpenClaw environment:
clawhub install openclaw/skills/skills/jame-mei-ltp/a-stock-monitor
Ensure you have the required dependencies installed:
pip3 install akshare flask ccxt
After installation, configure your watchlist in web_app.py under the WATCHED_STOCKS list. You can then trigger the web interface locally or configure Cron jobs for automated data updates as outlined in the documentation.
Use Cases
- Automated Market Surveillance: Keep tabs on specific sectors or large-cap stocks without manually checking price action.
- Algorithmic Trading Support: Utilize the 5-point short-term strategy engine to identify high-probability intraday or swing trading entries.
- Strategic Portfolio Management: Use the mid-to-long-term engine to filter out weak assets and focus on stocks showing structural trend acceleration or value growth.
- Sentiment Analysis: Use the 7-dimension market sentiment score to determine whether to go long or stay on the sidelines during volatile market conditions.
Example Prompts
- "Run the short-term selector and show me the top 3 recommended stocks for today along with their buy and stop-loss targets."
- "What is the current market sentiment score, and how does the recent trend strength affect our risk assessment?"
- "Update the watchlist analysis for our tracked stocks and tell me if any are currently hitting the Bollinger Band breakout signal."
Tips & Limitations
- Data Source Performance: The system intelligently switches between sources. During peak trading hours, it prioritizes fast-refresh endpoints to provide near-real-time updates. Avoid aggressive manual scraping to prevent IP bans.
- Strategy Logic: Always review the technical indicators (RSI/MACD) manually. While the system provides a 'resonance score,' quant models are decision-support tools, not financial guarantees.
- Scheduling: For consistent performance, ensure your server clock is synchronized to 'Asia/Shanghai' time, especially when managing Cron jobs for market open (9:15 AM) and close (3:00 PM).
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-jame-mei-ltp-a-stock-monitor": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, file-write, file-read, external-api, code-execution