Rgveda/996Quant resource
35岁程序员退路之量化投资学习笔记 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2128
- days_rel: n/a
- days_push: 2040
- n_releases_24m: 0
Adoption not part of the score
1215 stars · 173 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
GolemQ (996Quant) is a personal quantitative trading learning project built as a fork-style subproject of QUANTAXIS, focused on fetching and resampling live A-share (Chinese stock) market data from Sina Finance. It provides CLI tools and Jupyter notebook examples for retrieving realtime L1 snapshots and converting them into minute, hourly, and daily K-line data.
Use cases
- learn quantitative investing with Python
- fetch realtime Chinese A-share market data
- resample tick data into minute and daily K-lines
- get stock kline data from Sina Finance
- build a personal quant trading study setup
- mimic Youku/JoinQuant data APIs
When to choose
- you want a lightweight Python tool to pull live A-share quotes outside the QUANTAXIS Docker frontend
- you are learning quant trading with Jupyter notebooks and Chinese market data
- you need CLI-based subscription to Sina L1 market snapshots
When to avoid
- you need a stable, well-tested production trading system
- you require non-Chinese market data
- you want polished APIs like JoinQuant or Youku - those interfaces are incomplete
- you need active maintenance - the project has not been updated since early 2021 and documents known bugs
Facets
learning-resource · maturity maintenance
data-science trading http-client cli fintech data-science developer-tools python cli quantitative-finance quantaxis chinese-stock-market jupyter-notebook market-data sina-finance kline-data personal-project docker
1 source
- readme: https://github.com/Rgveda/996Quant · fetched 2026-08-28 · 859f393c2444
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Rgveda/996Quant | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem