Python library for portfolio optimization built on top of scikit-learn
factor-investing 开源项目推荐(399 个)
factor-investing 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 399 个仓库代理驱动的阿尔法工厂——大型语言模型自主设计、回测并将因子提交给WorldQuant BRAIN
Quantitative factor research skills for AI coding assistants
Agentic quant research workbench with CSV data inspection, local Codex and compatible APIs, predictive models, independent reviews, and reproducible backtests.
用于ML多因素交易的PyTorch研究堆栈:213个因素、偏差修正、投资组合优化和载体化回测。
A-share ETF rotation research and backtesting platform with walk-forward, vectorized, and event-driven validation.
FSQ K-line foundation model for China A-share stock selection, with a containerised multi-factor research platform: data governance, factor research and observability.
Rewriting the code in "Machine Learning for Factor Investing" in Python
QuantBot(AI 量化机器人)的全量源码。基于 **Go+React + TypeScript + Vite** 构建,通过 **Wails** 与 Go 后端通信,提供 A 股量化交易的图形界面:六维判势、多因子选股、AI 智能体决策、策略回测、实时活动、审计日志等。
"🐳 Dsh-Quant: The Everything-Plugin Ai native Quant OS "
RL stock selection for China A-share — bundled polars-native factor library (105 Alpha101 + 191 GTJA Alpha191 = 296 factors), board-aware price limits, GPU train + ONNX CPU infer, MIT-licensed.
🦞 AI 量化交易系统 — 37 因子选股 · 8 层风控 · 同花顺数据大屏 · 全自动盯盘
🦊 Open-source professional quant agent framework. Agents pick the factors working now to time entries, write full strategies, and evolve them in a sandbox — every order through machine approval, the LLM never on the order path. Multi-market, audit-grade.
道·量化研究:83篇A股市量化分析研究文章,基于双引擎四层融合模型 | Dao Quant Research: 83 A-share quantitative analysis articles with dual-engine fusion model
End-to-End Factor-Driven Quant System for Crypto Perpetuals — Factor Mining, Statistical Evaluation, Combo Search, Walk-Forward Backtest
面向 AI 智能体的多市场股票分析、筛选与回测插件——覆盖 A/HK/US/JP/KR/TW 市场的 39 个工具 + 20 个策略技能,兼容 Pi Agent、Hermes、OpenClaw 与 Deepseek Harness
众人的因子回测框架 stock factor test
ANTA: Ultra-fast, zero-C technical analysis, WorldQuant alpha factors & vectorized backtesting library for Polars.
Formulaic alpha mining: strongly-typed GP + GFlowNet search over a typed DSL, with C++/OpenMP portfolio backtest kernels — crypto perps, US equities, China A-shares
Data Science Project: Replication of "Forest Through the Trees: Building Cross-Sections of Stock Returns" - creation of assets to test validity of factor models with Python
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/factor-investing。
- 该话题在 GitHub 上共有 399 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 4300 Star,覆盖 4 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。