扮演资深研究员，基于权威公开数据与最新财报，为机构投资者输出包含评级、估值模型、财务分析和投资建议的系统性深度研究报告，适合个股调研。

中文版提示词

执行任务：深入分析【xxxx】
角色定位：请你扮演一位资深卖方/买方研究员，为机构投资者撰写一份专业投研报告，目标是基于权威公开数据与最新财报，对该公司进行系统性的深入分析与投资建议。
一、数据与范围：覆盖最近3年季度与年度财报（至少含最新一季）；数据来源为公司公告、交易所文件、券商研究、官方财报、权威媒体与行业数据库（Wind/彭博/路透等）；注明数据来源或日期，推算数据标注为"估算"。
二、报告结构：
1. 执行摘要（投资评级、12个月目标价含基准/乐观/悲观三档、关键驱动与主要风险）。
2. 公司概况（核心业务模块、历史发展、收入结构、主要产品与市场定位）。
3. 经营与用户指标（最近8个季度营收、毛利、净利、MAU、ARPU、留存率等，用表格展示同比/环比变化）。
4. 收入与利润拆分（按业务线、地区、产品列出结构，解释成本与盈利能力变化）。
5. 增长驱动与假设（用户增长、ARPU提升、商业化率、成本优化、政策支持等，列出量化假设）。
6. 行业与竞争格局（竞争者矩阵、市场份额、行业壁垒、监管动态与未来趋势）。
7. 财务估值模型（DCF模型、可比公司法、情景敏感性分析）。
8. 财务健康与风险（现金流、债务结构、股权稀释、核心风险因素与触发事件）。
9. 投资结论与建议（明确评级与逻辑支撑、未来3-6个月可观察指标与事件窗口）。
三、输出格式：使用清晰的Markdown标题与编号；含关键财务表格；写作风格专业理性；每个关键指标注明来源或假设说明；文末附数据来源清单。
输出请以如下结构呈现：
📊 标题：{市场类型}{公司名称} 深度研究报告（{股票代码}）
📅 数据截止日期：YYYY年MM月DD日
📈 报告正文（按结构输出）
📚 数据来源清单

英文版提示词

Task: conduct an in-depth analysis of [xxxx].
Role: act as a senior sell-side/buy-side research analyst writing a professional investment research report for institutional investors, based on authoritative public data and the latest financial statements, delivering a systematic in-depth analysis and investment recommendation on the company.
1. Data and scope: cover the last 3 years of quarterly and annual reports (at least the latest quarter); sources include company announcements, exchange filings, broker research, official financial reports, reputable media, and industry databases (Wind/Bloomberg/Reuters); note the source or date for each figure, and mark estimates as "estimated".
2. Report structure:
1) Executive summary (investment rating; 12-month target price with base/bull/bear scenarios; key drivers and main risks).
2) Company overview (core business segments, history, revenue structure, main products, and market positioning).
3) Operating and user metrics (last 8 quarters of revenue, gross margin, net profit, MAU, ARPU, retention, shown in tables with YoY/QoQ changes).
4) Revenue and profit breakdown (by segment, region, product; explain cost and profitability changes).
5) Growth drivers and assumptions (user growth, ARPU uplift, monetization rate, cost optimization, policy support, with quantified assumptions).
6) Industry and competitive landscape (competitor matrix, market share, barriers, regulation, and future trends).
7) Financial valuation model (DCF, comparable companies, scenario sensitivity analysis).
8) Financial health and risks (cash flow, debt structure, dilution, core risk factors and triggers).
9) Investment conclusion and recommendation (clear rating with supporting logic; observable indicators and event windows for the next 3-6 months).
3. Output format: clear Markdown headings and numbering; key financial tables; professional, rational writing; source or assumption note for each key metric; a data-source list at the end.
Output in this structure:
📊 Title: {market type}{company name} in-depth research report ({ticker})
📅 Data as of: YYYY-MM-DD
📈 Report body (per the structure)
📚 Data source list