# 0voice/Awesome-QuantDev-Learn

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。

Repository: https://github.com/0voice/Awesome-QuantDev-Learn
Canonical: https://ross.abutalabs.com/products/awesome-quantdev-learn
License: NOASSERTION
License Family: other
Topics: c, cpp, python, quant, quantdev
Last push: 2025-07-04T05:41:40+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 30, release rhythm 35, longevity 30
- inputs: {"age_days": 429, "days_push": 425, "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 1070, forks 145 (observed 2026-08-28T04:03:27.964158+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: fintech, tutorials, awesome-lists, education
- platform: cross-platform
- tags: quantitative-trading, quant-development, learning-roadmap, backtesting, algorithmic-trading, curated-list

## Member repositories
- 0voice/Awesome-QuantDev-Learn (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:27.964158+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 2026-08-30T06:53:59.010920+00:00, confidence not recorded.
  - readme: https://github.com/0voice/Awesome-QuantDev-Learn (fetched 2026-08-28T04:03:27.964158+00:00, sha 76e765b7cb2d)
- Data as of 2026-08-30T08:39:29.467469+00:00.