龙虎榜 is an investment analysis app that combines quantitative AI, capital-flow statistics and real-time market news to help investors make clearer decisions. It breaks down technical asymmetries by offering automated stock selection, sector-level insights and proactive risk signals, making complex data easy to act on. Users who want a data-driven companion will appreciate the mix of algorithmic strategies, sentiment analysis and alerts that surface opportunities before breakouts. Whether you follow mainstream sectors or hunt for high-growth plays, 龙虎榜 aims to improve decision-making with concise signals and an integrated news feed.
⭐ AI-powered stock selection and screening driven by an in-house model for clearer candidate lists.
⭐ Jarvis: links individual stock traits with sector and market context to highlight risks and opportunities.
⭐ Ayers: real-time sentiment quantification across online sources to build a high-quality stock pool.
⭐ Yao Shi: popularity ranking that combines attention metrics with funding conditions to spot trending stocks.
⭐ Xun Long Jue: capital-flow monitoring that alerts users to leadership transitions ahead of potential breakouts.
⭐ Fei Long Zai Tian: a ChiNext-focused strategy designed for those seeking high-growth, higher-risk opportunities.
✅ Consolidates capital flow statistics, sentiment data and news into a single actionable view.
✅ Proprietary AI models provide proactive signals rather than just historical charts.
✅ Custom strategies cover different investor needs, from popularity tracking to breakout timing.
✅ Real-time alerts and sector linkage help users spot emerging trends earlier using 龙虎榜's analytics.
✅ Integrated news module keeps market context alongside quantitative signals for better-informed choices.
❎ AI-driven signals are probabilistic and do not guarantee investment returns; users should perform their own due diligence.
❎ Some strategies, such as the ChiNext-focused approach, target higher volatility and suit more experienced or risk-tolerant investors.
The app is built on a proprietary quantitative AI platform and developed by a team that created in-house models like Jarvis and Ayers, emphasizing algorithmic research and data engineering.
The initial release introduced core algorithms, capital-flow statistics, popular sector and stock lists, an AI stock-picking model and an integrated news module to form a foundation for iterative improvements.
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