by rootSunc · MCP Server · ★ 107
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
ASL · 本地可日更的 A 股研究湖 · 39 数据集 · MCP 给 AI agent · 零 token 零注册 | Local A-share research lake — history for humans & agents
| Stars | 107 |
| Forks | 19 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 55.0341650787553/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-09 |
| Created | 2026-06-28 |
| Platforms | mcp, python |
| Est. Tokens | ~13k |
These tools work well together with ashare-lake for enhanced workflows:
Looking for a ashare-lake alternative? If you're comparing ashare-lake with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
同花顺官方 A股金融数据服务，提供股票实时行情、历史行情、财务报表、指数、板块、涨停等数据，适用于 AI Agent、量化研究和应用开发，支持 API、MCP、CLI 和 Python。Official Tonghuas
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A股 PEG 估值分析工具 — 彼得·林奇 PEG 投资法本地化实践 | A-share PEG valuation tool with AI-powered analysis
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。
Genetic algorithms auto-evolve trading strategies from 484 factors. Crypto + A-shares + US stocks. Walk-forwar
TickDB: AI-native real time stock API and market data API for US stocks, HK stocks, A-shares, forex, crypto, i
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ashare-lake is ASL · 本地可日更的 A 股研究湖 · 39 数据集 · MCP 给 AI agent · 零 token 零注册 | Local A-share research lake — history for humans & agents. It is categorized as a MCP Server with 107 GitHub stars.
ashare-lake is primarily written in Python. It covers topics such as a-share, ai-agent, akshare.
You can find installation instructions and usage details in the ashare-lake GitHub repository at github.com/rootSunc/ashare-lake. The project has 107 stars and 19 forks, indicating an active community.
ashare-lake is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to ashare-lake on Agent Skills Hub include Financial-API, best-of-algorithmic-trading, astock-peg. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.