# chenditc/investment_data

Scripts and doc for https://www.dolthub.com/repositories/chenditc/investment_data

Repository: https://github.com/chenditc/investment_data
Canonical: https://ross.abutalabs.com/products/investment_data
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-08-26T13:39:08+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 100
- inputs: {"age_days": 1506, "days_push": 7, "days_rel": 7, "gap_med": 1, "n_releases_24m": 580}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1423, forks 184 (observed 2026-08-28T04:04:41.228630+00:00)

## What it is
A crowdsourced Chinese stock market dataset (A-shares) maintained in a Dolt database and exported to Microsoft Qlib binary format via Python scripts. It provides daily-updated, validated financial data distributed through GitHub releases for quantitative research.

## Use cases
- download chinese a-share stock data for qlib backtesting
- get free daily-updated stock market dataset for quant research
- export dolt database to qlib binary format
- validate and extract qlib data archives for cn_data
- build quantitative investment models with open financial data

## When to choose
- you use Microsoft Qlib and need Chinese market data
- you want a free, community-maintained alternative to paid A-share data feeds
- you want versioned financial data with provenance via Dolt

## When to avoid
- you need US or non-Chinese market data
- you require guaranteed SLA or commercial-grade data quality
- you don't use Qlib or Dolt and only need raw CSVs

## Facets
- artifact type: dataset
- maturity: active
- function: database, etl, data-science, machine-learning
- domain: fintech, machine-learning, analytics
- platform: python, cli
- tags: qlib, dolt, chinese-stock-market, financial-data, a-shares, tushare, crowdsourced-data, data-engineering, docker, linux

## Member repositories
- chenditc/investment_data (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:41.228630+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 2026-08-30T04:37:38.832449+00:00, confidence not recorded.
  - readme: https://github.com/chenditc/investment_data (fetched 2026-08-28T04:04:41.228630+00:00, sha 16a1abc64e1c)
- Data as of 2026-08-30T08:39:29.467469+00:00.