by ZhiweiChen-coder · Codex Skill · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🤖 AI-Powered Chinese Stock Market Analysis. 一个基于 AI 的 A 股智能分析系统，提供技术分析、交易信号和智能投资建议。内置 OpenClaw 内核，Agent 编排与记忆采用本地优先、分层记忆与心跳总结，支持单股分析、消息与热点追踪、持仓管理与统一问答。
| Stars | 55 |
| Forks | 12 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 50.5410463457025/100 |
| Last Updated | 2026-07-04 |
| Created | 2025-07-20 |
| Platforms | python |
| Est. Tokens | ~13k |
These tools work well together with OpenAshare for enhanced workflows:
Looking for a OpenAshare alternative? If you're comparing OpenAshare with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
skills：一句话获取 A 股每日市场数据 — 赚钱效应、热门题材、连板天梯、游资龙虎榜。零配置，无需注册，无需 Token。
An Self-Evolving Stock Strategy Research Agent 策略回测和自我进化
US stock analysis skills for LLMs (Claude code, Gemini ...) | #AI
A collection of enhancements, plugins, and prompts for Open WebUI, developed and curated for personal use to e
Symfony UX skills for Claude, Gemini, Codex, ... Live Component, Twig Component, Turbo, Stimulus
Claude Code skill plugins for financial services — 81 skills across 7 domain plugins covering investment manag
Explore other popular codex skill tools:
OpenAshare is 🤖 AI-Powered Chinese Stock Market Analysis. 一个基于 AI 的 A 股智能分析系统，提供技术分析、交易信号和智能投资建议。内置 OpenClaw 内核，Agent 编排与记忆采用本地优先、分层记忆与心跳总结，支持单股分析、消息与热点追踪、持仓管理与统一问答。. It is categorized as a Codex Skill with 55 GitHub stars.
OpenAshare is primarily written in Python. It covers topics such as agent, ashare, finance.
You can find installation instructions and usage details in the OpenAshare GitHub repository at github.com/ZhiweiChen-coder/OpenAshare. The project has 55 stars and 12 forks, indicating an active community.
OpenAshare is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to OpenAshare on Agent Skills Hub include hhxg-top-hhxg-python, alphaevo, InvestSkill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.