by KylinMountain · Codex Skill · ★ 587
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
TradingAgents-AShare:A股智能投研多智能体系统 本项目是基于多智能体协作的 A 股深度分析系统,模拟顶级投研机构的决策闭环,通过 14 名专业 Agent 的多空辩论与风控博弈,为投资者提供结构化的交易建议。 在线体验 OpenClaw 技能 14 名智能体实时协作,左侧对话驱动,右侧可视化全流程 TradingAgents-AShare 已正式上线 OpenClaw!您只需通过 技能,即可让您的 AI助手具备专业的 A 股深度投研能力。 功能特性 辩论对战可视化 点击 Agent 卡片即可打开辩论 Drawer,实时观看多空对抗与风控三方辩论。垂直时间线按 Round 分组,Token 级流式呈现每位 Agent 的发言,裁决卡片独立高亮展示。 意图驱动的自然语言交互 直接输入"调研茅台短线"即可自动识别标的、解析投资周期,支持短线与中线双周期分析,无需填写表单。 自选股与定时分析 数据库持久化自选列表,支持批量加入股票、自定义周期与触发时间,并可在前端批量更新、删除或手动测试定时任务。定时分析会自动复用持仓上下文,连续失败自动停用,无需人工干预。 持仓追踪与跟踪看板 支持导入持仓数据,自动记录持仓、成本价与仓位占比,并可一键将持仓标的补齐到定时分析列表。控制台会展示跟踪看板摘要,完整看板页支持查看实时价格、当日区间、持仓盈亏与上一交易日报告区间,方便盘中快速跟踪。 结构化研报管理 分析结果结构化存储,支持按标的、日期检索历史研报,决策卡片一目了然地展示方向、置信度、目标价与止损价。 研报历史 深度详情 多模型厂商支持 OpenAI、Anthropic
| Stars | 587 |
| Forks | 187 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 52.846/100 |
| Open Issues | 22 |
| Last Updated | 2026-06-19 |
| Created | 2026-03-02 |
| Platforms | claude-code, docker, python |
| Est. Tokens | ~14k |
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TradingAgents-AShare is A 股多智能体智能投研系统 — 基于 TradingAgents 架构,15 名 AI Agent 模拟机构协作与实时辩论对抗,全流程可视化,支持 OpenClaw / Claude Code 集成,Docker 一键部署。. It is categorized as a Codex Skill with 587 GitHub stars.
TradingAgents-AShare is primarily written in Python. It covers topics such as agents, ai, finance.
You can find installation instructions and usage details in the TradingAgents-AShare GitHub repository at github.com/KylinMountain/TradingAgents-AShare. The project has 587 stars and 187 forks, indicating an active community.
The top alternatives to TradingAgents-AShare on Agent Skills Hub include agents, dbhub, OpenClaw-Medical-Skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.