quant-stock-picker-proAI-powered stock screening tool for Chinese A-shares. Daily picks using multi-factor analysis (fundamentals + technical + sentiment). Use when user asks abou...
Install via ClawdBot CLI:
clawdbot install eric961/quant-stock-picker-proGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
http://quote.eastmoney.com/Audited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
Retail investors seeking daily stock recommendations for Chinese A-shares can use this tool to get AI-powered picks based on multi-factor analysis, helping them identify potential investment opportunities without deep quantitative expertise. It automates screening and provides actionable insights with risk controls.
Professionals in finance can leverage this tool to augment their stock research by quickly generating a shortlist of stocks using integrated fundamental, technical, and sentiment data, saving time on manual screening and enhancing decision-making with AI predictions.
Hobbyists or learners interested in quantitative trading can use this package to explore multi-factor models and AI techniques for stock selection, customizing factors and risk parameters to experiment with different strategies in a controlled environment.
Universities or training programs in finance and data science can incorporate this tool into curricula to teach students about quantitative analysis, factor investing, and AI applications in stock markets, using real-time data and configurable settings.
Offer tiered subscriptions for access to daily stock picks, advanced analytics, and premium features like custom factor weighting or backtesting tools, targeting individual investors and small firms. Revenue could come from monthly or annual fees.
License the skill package to financial institutions, brokerages, or fintech platforms as an embedded tool, allowing them to provide value-added services to their clients without developing in-house. Revenue is generated through licensing fees or revenue-sharing agreements.
Sell access to the underlying data streams, AI predictions, or analytics outputs via APIs, enabling developers and businesses to integrate the insights into their own applications or dashboards. Revenue streams include API usage fees and data subscriptions.
💬 Integration Tip
Ensure Python dependencies are installed and configure the cron job for automatic daily runs; customize parameters in config.py to match user risk preferences and strategy goals.
Scored Apr 19, 2026
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