QuantMLResearch/quant-handbook
Resource
Can I trust it?
Be careful with this one.
Warnings Check
Very new: it was created 4 days ago. Wait a little before installing it.
Stars from real accounts No data
We haven't checked its stars for fakes yet.
Active OK
Last change yesterday.
Licence Careful
No licence: legally you can't reuse the code, unless the README says otherwise.
Quick checks from public data. They help, but they are no guarantee.
What it is
A Chinese-language quantitative research handbook with 31 lectures across 8 modules, covering A-share data engineering, point-in-time data, factor mining and evaluation, financial machine learning, Barra risk models, portfolio optimization and backtesting. Each lecture includes…
Who it's for
Python developers and quantitative researchers learning A-share equity factor research and engineering workflows
How to use it
Ask your AI to set it up
Paste this into Claude, ChatGPT or your coding assistant.
Help me install and set up QuantMLResearch/quant-handbook in my project. Follow its README: https://github.com/QuantMLResearch/quant-handbook. Explain each step and check it is safe before running anything.
Star curve
Get alerts for repos like this
We'll email you when repos like this start rising. Free, once a week, only what matches.
22,776 GitHub repos watched and ranked every hour. Figures as of 31 October 2026.
What arrives: one email on Mondays with the repos that match, never more. See last week's. Privacy
For maintainers
Add this badge to your README. It shows the repo's place on the radar, updates every hour and links back to this page.
[](https://repoalerts.com/repo/QuantMLResearch/quant-handbook?ref=badge)Similar repos
- ChungKit-WAN/Quant-research-lab
Python framework for monthly sector ETF allocation and multifactor stock backtesting. Compares covariance-based and equal-weight ETF allocations and price/volume factor stock rankings, with transactio
- rootSunc/CNEquity
A local data lake for Chinese A-share market data covering quotes, fundamentals, futures, capital flows, corporate events, indices, and macro indicators. It supports incremental collection, resumable
- acerbashutosh/quant-alpha-desktop
A Windows desktop-oriented quantitative stock analysis system for NSE-listed stocks. It combines price data, financial statements and technical indicators into sector-relative factor scores, ATR-based
- ronielambrosio/openbb-finance
Open-source toolkit for quantitative investment research across stocks, crypto, forex and other asset classes. The README describes unified multi-asset market data, portfolio analytics and strategy si
- datawhalechina/diy-llm
An open Chinese-language course that teaches full-stack LLM development, covering pre-training data, tokenizers, Transformers, Mixture of Experts, distributed training, scaling laws, inference and ali
- renjiegod/dyt-ashare-cli
Command-line client for querying historical A-share minute bars (OHLCV and turnover) and coverage, with local analysis and Parquet dataset download on paid accounts. Includes an agent skill for AI cod