人工智能投研应用系列之一：OpenClaw安装与配置详细教程

• The report primarily focuses on the installation and configuration of OpenClaw, an AI-driven tool, rather than discussing quantitative models or factors[1][3][4][6] - OpenClaw is designed to operate optimally in Linux environments due to its native compatibility with core dependencies like Node.js and Python, which are essential for its functionality[10][17][23] - The installation process involves setting up WSL2 on Windows, installing Ubuntu, configuring systemd, and ensuring environment variables are correctly set to enable seamless interaction between Linux and Windows applications[13][23][27] - OpenClaw's configuration includes selecting AI model providers (e.g., Volcano Engine), choosing specific models (e.g., volcengine/doubao-seed-1-8-251228), and integrating communication tools like Feishu for interaction[40][42][44][46] - The tool supports skill-based functionalities, which can be extended by installing additional Python libraries like numpy and pandas, necessary for certain financial or analytical tasks[33][34][35] - The report does not include any quantitative models, factors, or backtesting results relevant to financial engineering or quantitative analysis[1][3][4][6]