Wind Alice, the financial AI assistant, which is launched half a year ago, is built on a deep industry knowledge, business experience, and real-time global financial and business information accumulated over nearly 30 years in the finance field, making it a large-scale language model. Currently, Wind Alice encompasses multiple functional modules including AI Search, Chat, Writer, Reader, Meeting, Marketing, Translate, PicSight, ListenPoint, etc. Among these, the "Writer" offers over 40 report templates spanning various industries, covering macro, company, industry, asset allocation, ensuring the timeliness and professionalism of content. The rewriting tool can expand content, create titles, and enhance text to make reports more appealing. "Marketing" integrates different characteristics of financial products to write various styles of marketing copy and optimize it. "PicSight" supports uploading custom images, can real-time parse key information in images, and also supports in-depth analysis of various types of charts, text recognition, buildings, famous paintings, and can convert multi-dimensional data in images into structured tables, accurately controlling key information. "ListenPoint" can import meeting recordings, analyze meeting highlights, core data, dig out key points, organize data tables, and complete online editing, making key points and data readily available.
Alice's main capabilities include:
- Financial knowledge Q&A: Answering questions about financial markets, financial products, financial regulations, etc., providing professional financial knowledge answers
- Market data analysis: Analyzing financial market data, including trends in stocks, bonds, foreign exchange, commodities, etc., providing market analysis reports
- Investment strategy advice: Providing personalized investment strategy advice based on user needs and risk preferences
- Financial news interpretation: Interpreting the latest financial news to help users understand the dynamics of the financial market
- Financial research reports: Writing research reports on financial markets, financial products to provide decision-making references for users
- Financial risk alert: Providing alerts on financial market risks to help users avoid potential risks
- Financial product recommendations: Recommending suitable financial products based on user needs and risk preferences
- Financial knowledge dissemination: Popularizing financial knowledge to help users improve financial literacy
- Financial business consulting: Providing consulting services on financial business, including but not limited to loans, credit cards, insurance, etc.
- Financial technology applications: Introducing the applications of financial technology to help users understand the development trends in financial technology
One-Stop Platform for Chinese Financial Data and Information
