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free-stockdb MCP Server

hello245m/free-stockdb

Score: 80.0 Rank #1889 MCP Server
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面向 A 股日K、分钟K与ETF分钟数据的本地量化引擎,集成增量同步、本地缓存、复权、批量查询、回测与指标计算。

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Overview

hello245m/free-stockdb is a HTML tool licensed under MIT. 面向 A 股日K、分钟K与ETF分钟数据的本地量化引擎,集成增量同步、本地缓存、复权、批量查询、回测与指标计算。 Topics: a-share, algorithmic-trading, backtesting, china-stock-market, kline, local-first, market-data, mcp, quant-research, quantitative-finance, stock-data, stock-market, technical-analysis, time-series-database.

Ranked #1889 out of 24840 indexed tools.

In the top 8% of all indexed tools.

Has 2,700 GitHub stars.

Ecosystem

HTML MIT
a-sharealgorithmic-tradingbacktestingchina-stock-marketklinelocal-firstmarket-datamcpquant-researchquantitative-financestock-datastock-markettechnical-analysistime-series-database

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 2,700

2,700 stars → well-known project

Freshness 25% 17d ago

Last commit 17d ago → recently updated

Issue Health 25% 79%

15/19 issues closed → decent issue management

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 399
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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From the README

[08-10]windows,macos,alpine,manylinux版本已发布。[08-04]mac,linux版本完成,已通过多轮压力测试,即将发布。

# free-stockdb

## 本地量化数据引擎

面向 A 股日K、分钟K与 ETF 分钟、tick级数据的本地量化引擎。free-stockdb 将数据同步、清洗、复权、组织为可直接用于批量查询、批量计算研究的数据底座。

**❤️双击更新 -> 双击启动 -> 直接调用。**

[下载地址1](http://143300055)

[下载地址2](https://github.com/hello245m/free-stockdb/releases/tag/测试版本0.3.5)

数据本地落盘,研究不再依赖远程接口。

| 本地优先 | 增量同步 | 数据支持(按需) | 本地指标计算 | 五种调用方式 |
|---|---|---|---|---|
| 数据在用户磁盘 | 只处理变化数据 | 日/周/月/1/5/15/30分钟/tick | 39 种指标、5 种指数 | Python / HTTP / Excel / HTML / MCP |

```mermaid
flowchart TB
    A["数据更新:同步、清洗、复权、增量"] --> B["free-stockdb 本地数据与计算引擎"]
    B --> C["Python SDK"]
    B --> D["HTTP API"]
    B --> E["Excel / WPS"]
    B --> F["HTML 网页"]
    B --> G["AI MCP"]
```

同步后的查询、计算、回测和接口都使用本机数据,不与远程请求链路耦合。

## 为什么需要本地数据引擎

全市场批量回测的瓶颈不是策略代码,而是数据工程。以全市场 7000+ 股票分钟线回测为例,远程 API 方案的真实工作量:

| 环节 | 在线 API 方案的真实耗时 | free-stockdb |
|---|---|---|
| 数据下载 | 全市场分钟数据逐股请求,受限频/积分/IP 风控约束,实测需要**3-5 天**;爬虫方案批量拉取封号/限频 | 通过 `sync_url.txt` 配置数据源,Zstd 压缩传输,增量同步,断点
Read full README on GitHub →

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