Ross ROSS = Recommend OSS · open-source software intelligence for agents

0voice/Awesome-QuantDev-Learn resource

本仓库面向所有对量化分析或开发感兴趣的量化交易从业者,提供系统性学习量化开发的技术路线,从数据获取、策略开发、回测系统到实盘部署。 observed · 2026-08-28

github.com/0voice/Awesome-QuantDev-Learn · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 30
  • Release rhythm 35
  • Longevity 30

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: 429
  • days_rel: n/a
  • days_push: 425
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1070 stars · 145 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated learning roadmap and knowledge repository for quantitative trading development, covering finance fundamentals, math/statistics, and Python and C++ tech stacks. It spans the full pipeline from data acquisition and strategy development to backtesting and live deployment.

Use cases

  • learn quantitative trading development from scratch
  • find a roadmap to become a quant developer
  • study Python for quantitative finance
  • learn C++ for low-latency trading systems
  • understand backtesting and live trading deployment
  • transition from software engineering into quant finance
  • review math and statistics for quantitative analysis

When to choose

  • you want a structured, end-to-end curriculum for quant development
  • you need curated links and topic summaries for Python or C++ quant stacks
  • you are a student or career-switcher building quant finance foundations

When to avoid

  • you need runnable trading or backtesting software rather than learning material
  • you want an authoritative textbook or formal course with exercises and certification
  • you need up-to-date market data or live strategy code

Facets

learning-resource · maturity active

developer-tools fintech tutorials awesome-lists education cross-platform quantitative-trading quant-development learning-roadmap backtesting algorithmic-trading curated-list

1 source

Member repositories

RepositoryRoleHealth v2
0voice/Awesome-QuantDev-Learnmain32

For agents

markdown · JSON · MCP: product_card(name="0voice/Awesome-QuantDev-Learn")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem