# HuaRongSAO/talib-document

talib学习 talib中文翻译 talib中文文档

Repository: https://github.com/HuaRongSAO/talib-document
Canonical: https://ross.abutalabs.com/products/talib-document
License Family: other
Topics: ta-lib, python, talib
Last push: 2021-06-10T02:29:24+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3330, "days_push": 1911, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1869, forks 594 (observed 2026-08-28T04:05:46.529241+00:00)

## What it is
A Chinese-language translation of the TA-Lib Python library documentation, covering technical analysis indicators for financial market data. It explains installation, the function and abstract APIs, and the 150+ supported indicators like MACD, RSI, and Bollinger Bands.

## Use cases
- learn ta-lib in chinese
- chinese documentation for talib python library
- calculate technical indicators like macd and rsi in python
- understand ta-lib function api and abstract api
- get started with technical analysis of financial market data
- translate talib docs to chinese

## When to choose
- you are a Chinese-speaking developer learning TA-Lib for quantitative trading
- you need a translated reference for TA-Lib's Python API and indicators

## When to avoid
- you need up-to-date official documentation or English-language sources
- you need a maintained library rather than a documentation translation
- you use languages other than Python

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, math
- domain: fintech, tutorials, data-science
- platform: python
- tags: ta-lib, technical-analysis, chinese-translation, quantitative-trading, financial-indicators

## Member repositories
- HuaRongSAO/talib-document (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:46.529241+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 2026-08-30T03:15:11.353416+00:00, confidence not recorded.
  - readme: https://github.com/HuaRongSAO/talib-document (fetched 2026-08-28T04:05:46.529241+00:00, sha 3d087faf2929)
- Data as of 2026-08-30T08:39:29.467469+00:00.