12-v2-2AI量化交易系统,8因子信号系统、多数据源容错、实时行情分析
Install via ClawdBot CLI:
clawdbot install nidhov01/12-v2-2Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/ZhuLinsen/daily_stock_analysisUses known external API (expected, informational)
api.openai.comAudited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Users can request technical analysis for specific stocks like 'Analyze Guizhou Moutai' to receive a comprehensive report including 8-factor signal scoring, technical indicators, real-time market data, chip distribution analysis, and buy/sell recommendations. This helps investors make informed decisions based on quantitative metrics.
Users can ask 'What are today's buy signals?' to scan the market for stocks meeting dynamic thresholds (e.g., score ≥ 9.0). The system returns a list of stocks with codes, names, signal scores, and suggestions, enabling quick identification of investment opportunities.
Users can query 'How is the overall market environment?' to get analysis classifying the market as strong, volatile, or weak, along with statistics on rising/falling stocks, index analysis, and dynamic threshold adjustments. This aids in strategic positioning and risk management.
Users can request backtesting by specifying dates and initial capital to run simulations that output total return, annualized return, maximum drawdown, Sharpe ratio, and transaction details. This allows validation of trading strategies before real-world implementation.
Users can set up monitoring for a list of stocks (e.g., 'Monitor my watchlist') with configurable intervals (e.g., every 5 minutes). The system sends email notifications for signals or alerts, providing continuous oversight and timely updates on portfolio performance.
Offer a cloud-based platform where individual investors pay a monthly or annual fee to access the AI trading system, including real-time analysis, signal alerts, and backtesting tools. Revenue is generated through tiered subscription plans based on features like advanced analytics or higher notification frequency.
License the skill package to banks, hedge funds, or fintech companies for integration into their proprietary trading systems. Revenue comes from one-time licensing fees or ongoing support contracts, with customization options for specific data sources or compliance requirements.
Provide a free basic version with limited features (e.g., single stock analysis) and charge for premium add-ons such as multi-stock scanning, advanced backtesting, or priority email notifications. This model attracts a broad user base while monetizing advanced functionalities.
💬 Integration Tip
Ensure Python 3.7+ and dependencies like akshare and pandas are installed, and configure the YAML file for data sources and email settings to enable seamless operation.
Scored Apr 19, 2026
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