AI Quant Trader¶

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One-Stop AI Quantitative Trading Platform · From Learning & Simulation to Live Trading

Start the workspace · Knowledge Planet · GitHub Repo

Site Scope¶

This documentation site is intentionally focused on maintained docs that live under docs/: workspace usage and principles, environment setup, FAQs, community usage, and deployment operations. Repository code and standalone READMEs stay in the source repository and are not mirrored into the published MkDocs site.

Quant research workspace¶

Workspace walkthrough · Platform overview · User guide · Design principles. Start with installation, the nine modules and a first backtest, then add models, agents, local knowledge and CLI workflows. New platform guides currently fall back to Chinese; language selection does not translate their content.

Environment Setup

Python, Conda, GPU, and local environment notes for preparing a runnable development workstation.
FAQ

Dependency, GitHub, and common runtime issues collected in one place.
Knowledge Planet

Community entry points, onboarding, resource navigation, and support rules.
Deployment Ops

MkDocs, GitHub Pages, and Cloudflare Pages deployment procedures.

Featured: Knowledge Planet Community¶

AIQuant Knowledge Planet

Hands-on Q&A · Deep dives · Curated quant resources

Join hundreds of quant enthusiasts to dissect strategies, run backtests, and ship trading bots. Daily curated posts from the planet owner:
- Project-grade tutorials, including double moving averages, reinforcement learning, and alpha mining
- Strategy ideas, code snippets, and lessons learned
- Research reports, papers, tools, and data sources
Planet Overview Newbie Guide
Newbie Guide

Just joined the planet? Read this first.
- Planet mechanics, joining methods, and point rules
- Asking questions: templates and etiquette
- Resource navigation and FAQs
- Environment checklist before running projects
Read the Newbie Guide

Highlights at a Glance¶

Dimension	Description
One-Stop Platform	Full pipeline: learning, simulation, and live trading
Diverse Strategies	LLM, alpha mining, classical, ML, DL, RL, and graph networks
24+ Data Sources	Stocks / Funds / Futures / Crypto / Macro / News
Resource Hub	End-to-end tutorials, case studies, paper walkthroughs, code
Utilities	Watchlist helpers and stock pickers for daily trading

Contributing¶

Open a PR: see CONTRIBUTING.md
Join the community: see the Knowledge Planet box above