@geekbb: "XQuant: Everyone Can Be a Quantitative Trader" — An Open Source Introductory Manuscript for Quantitative Trading. An open-source introductory manuscript for quantitative trading aimed at beginners, teaching readers to describe strategy ideas in natural language and have AI write the code, building a systematic and iterable quantitative trading system from scratch. https://github.com/xingw…
Summary
"XQuant: Everyone Can Be a Quantitative Trader" is an open-source introductory manuscript for quantitative trading aimed at beginners, teaching readers to describe strategy ideas in natural language and have AI write the code, building a systematic quantitative trading system from scratch.
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“XQuant: Everyone Can Be a Quantitative Trader” — Open-Source Quantitative Primer
An open-source quantitative trading primer for absolute beginners. It teaches readers to describe trading strategies in natural language, have AI write the code, and build a systematic, iterative quantitative trading system from scratch.
https://t.co/YQtBdPaq5F https://t.co/TdNvRxAQaU
xingwudao/xquant-beginner
Source: https://github.com/xingwudao/xquant-beginner
XQuant Beginner
“XQuant: Everyone Can Be a Quantitative Trader” — open-source book draft.
This repository contains the publication-ready book source files, images, and build configuration. The accompanying specs and notebooks are not stored here; they are maintained in a unified location:
https://github.com/xingwudao/xquant-learning
Read online:
https://xingwudao.github.io/xquant-beginner/
Course and official book info:
https://xquant.shop/courses
Add the author on WeChat: xquanter to join the reader group. Please note: XQuant reader.
Online Publishing
This repository supports two publishing methods:
- GitBook: Synchronized via
.gitbook.yaml,README.md, andSUMMARY.md - Static Website: Built into a pure static site using VitePress
Local Reading
Start reading directly from SUMMARY.md, or open chapter files under the book/ directory.
Feedback & Reader Group
If you find typos, unclear concepts, or inconsistent experiment results, please submit an Issue:
https://github.com/xingwudao/xquant-beginner/issues/new/choose
Before submitting feedback, we recommend reading:
CONTRIBUTING.md
Add the author on WeChat: xquanter to join the reader group. Please note: XQuant reader.
Local Preview of Static Site
First install Node.js, then run:
npm install
npm run docs:dev
Build the static site:
npm run docs:build
Preview the build output:
npm run docs:preview
The build output is located in .vitepress/dist/.
Companion Exercise Repository
All hands-on experiment specs and notebooks mentioned in the book are available at:
https://github.com/xingwudao/xquant-learning
While reading the text, if you see a path like q1-how-to-profit/specs/, please navigate to the corresponding file in the xquant-learning repository.
Course & Official Book
The course, official book, and subsequent updates are hosted on the main website:
https://xquant.shop/courses
This repository is the open-source draft version, intended for public reading and feedback collection. The official book will incorporate open-source feedback and be refined into a more stable version.
If you cannot write code or do not want to read the entire book, feel free to check out the portfolio shop: https://xquant.shop/products.
License
This repository uses a dual license:
- Book content and images:
CC BY-NC-SA 4.0 - Build scripts, configuration files, and automation workflows:
MIT
In other words, you may share and adapt the book content under the conditions of attribution, non-commercial use, and share-alike; the build-related code and configuration may be used under the MIT license.
Risk Disclaimer
This book is for educational and research purposes only and does not constitute investment advice. Past performance does not guarantee future returns, and any strategy may result in losses.
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