Abstract: Bayesian Optimization (BO) is a widely used method for optimizing expensive black-box functions, but scaling it to high-dimensional optimization is a challenging task. As the problem scales ...

🚀 An end-to-end quantitative portfolio optimization & stock intelligence tool built with Python & Streamlit. Analyze NSE, BSE & NYSE stocks with predictions, portfolio optimization, risk metrics, and ...

Abstract: The standard Bayesian optimization algorithm encounters the curse of dimensionality in high-dimensional problems. The difficulty of optimizing the acquisition function increases, resulting ...

本文档用简明语言说明本仓库中所有文件与代码的用途、使用方式，并展示项目架构。 一、项目概述 本项目是一个多因子风险模型与约束组合优化管理的量化交易示例，分四个阶段实现了数据处理和特征工程、机器学习预测、多因子风险模型构建、组合优化与 ...