Jack-Cherish/quantitative resource
量化交易：python3 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
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: 1820
- days_rel: n/a
- days_push: 1012
- n_releases_24m: 0
Adoption not part of the score
2712 stars · 381 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Chinese-language open-source tutorial series on quantitative (algorithmic) trading with Python 3, accompanying a popular Bilibili video course. It provides lesson-by-lesson code for building automated stock trading strategies.
Use cases
- learn quantitative trading with python
- build an automated stock trading bot
- backtest trading strategies in python
- algorithmic trading tutorial for beginners
- automate stock buying and selling
- learn python for finance
When to choose
- you want a beginner-friendly, video-backed introduction to quant trading in Python
- you prefer Chinese-language learning materials
- you want example code for automated stock trading lessons
When to avoid
- you need production-grade, licensed trading software
- you need guaranteed up-to-date broker API integrations
- you require English documentation or enterprise support
Facets
learning-resource · maturity maintenance
trading data-science developer-tools fintech tutorials python cross-platform quantitative-trading algorithmic-trading stock-trading tutorial chinese-language backtesting cryptocurrency automation
1 source
- readme: https://github.com/Jack-Cherish/quantitative · fetched 2026-08-28 · 528583031fdb
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Jack-Cherish/quantitative | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="Jack-Cherish/quantitative")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem