Soochow Securities·2026-03-11 12:52Investment Rating - The report maintains a rating of "Buy" for the real estate industry [1]. Core Insights - The real estate industry is a pillar of the Chinese economy, facing challenges due to macroeconomic policies, local regulations, and financial conditions. Since 2024, the industry has entered a deep adjustment period, with frequent policy measures aimed at stabilizing the market, leading to a reshaping of the industry landscape [10][11]. - The OpenClaw AI Agent framework has been developed to enhance investment research productivity in the real estate sector, integrating various AI models and a multi-layer data architecture to ensure stable system operation [2][11]. - The system has produced 18 Python scripts and multiple workflows, allowing analysts to conduct professional-level research through natural language interactions without the need for programming [12][15]. Summary by Sections Project Overview - The project aims to create an AI-native investment research assistant for the real estate industry, combining AI analysis capabilities with traditional multi-factor scoring models [12]. - The system features a dual-platform architecture, integrating local and cloud-based AI rating platforms to provide comprehensive investment insights [13][14]. OpenClaw Framework - OpenClaw is positioned as a new paradigm for AI agents, capable of executing complex multi-step tasks autonomously, which is particularly beneficial for investment research [19][21]. - The framework includes a persistent workspace, long-term memory, and a skill system, allowing for automated task execution and data retrieval [25][26]. AI Stock Selection Model - The system employs a dual-model rating approach, covering over 60 real estate-related stocks across A-shares, Hong Kong stocks, and US stocks, with a focus on various sub-sectors [14][17]. - A seven-dimensional scoring engine evaluates stocks based on trend, momentum, volatility, volume, value, fundamentals, and sentiment [17]. Telegram Integration - The system integrates with Telegram for real-time information dissemination, providing daily research reports, stock selections, and alerts for market movements [34][35]. - Analysts can interact with the system via natural language commands, allowing for quick access to research outputs and market insights [38][39]. System Architecture - The OpenClaw platform utilizes a modular agent architecture, facilitating user command input, session routing, context assembly, and model invocation [40][43]. - The system's efficiency is enhanced through a structured process that allows for rapid data retrieval and analysis, significantly reducing the time required for research tasks [55][56].