# pythonstock/stock

stock，股票系统。使用python进行开发。

Repository: https://github.com/pythonstock/stock
Canonical: https://ross.abutalabs.com/products/pythonstock-stock
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-05-07T07:42:21+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 81, release rhythm 8, longevity 100
- inputs: {"age_days": 3334, "days_push": 118, "days_rel": 550, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7864, forks 2364 (observed 2026-08-28T04:10:07.989870+00:00)

## What it is
A full-stack stock analysis system built in Python using pandas, akshare, bokeh, stockstats, ta-lib, and tornado, deployed via Docker and docker-compose. It fetches daily China A-share market data, computes 17 technical indicators (KDJ, RSI, CR, volume delta, etc.), stores them in MariaDB, and presents them through a Vue frontend with configurable data display and Bokeh charts.

## Use cases
- scrape and store daily China A-share stock data
- compute technical indicators like KDJ, RSI, and CR for stocks
- view stock charts and indicator plots with Bokeh
- track dragon-tiger list and block trade data
- run scheduled daily stock data calculations with cron
- self-host a stock data analysis dashboard with docker-compose

## When to choose
- you want a ready-made, Docker-deployable system for Chinese stock market data and indicator analysis
- you are learning Python data analysis with pandas, akshare, and bokeh on real stock data
- you need scheduled daily fetching and computation of stock indicators

## When to avoid
- you need real-time trading or live market data
- you need markets outside China's A-share market
- you expect investment advice or profitable signals - the project is for learning only

## Facets
- artifact type: application
- maturity: active
- function: data-science, data-visualization, web-framework, etl, analytics, scheduling
- domain: fintech, data-science, data-visualization, web-development, analytics
- platform: python, self-hosted
- tags: stock-analysis, akshare, tornado, bokeh, technical-indicators, china-stock-market, docker-compose, vue, mariadb, docker, web-server, linux

## Member repositories
- pythonstock/stock (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:07.989870+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:33:45.784291+00:00, confidence not recorded.
  - readme: https://github.com/pythonstock/stock (fetched 2026-08-28T04:10:07.989870+00:00, sha a5674956353e)
- Data as of 2026-08-30T08:39:29.467469+00:00.