-
Notifications
You must be signed in to change notification settings - Fork 1
This project was developed as the final project for the Quantitative Investment course at Zhejiang University. It implements a multi-factor framework in quantitative investing, incorporating 15 financial factors and generating a simple backtesting report to evaluate strategy performance.
huangniyuan0313/MultiFactor
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
# -*- coding: utf-8 -*- # @Time : 2023/2/8 15:26 # @Author : Huang Niyuan # @Email : 3123824465@qq.com # @File : Code_Mul.py # Code_MultiFactor # - 该文件夹中分别有两份一样的代码,一份为jupyter的源文件,一份问python文件,推荐分别使用jupyterbook和pytram打开。 # - 代码的正常运行需要一些python库:numpy、pandas、sklearn,需要提前安装好 # Data # - 该文件夹中为老师提供的数据,本人根据需求仅仅改变了文件夹的名称(将中文改成英文,担心路径读取不出来的问题) # Reference # - 该文件夹中有完成作业时参考的资料和网站 # Result # - 该部分是完整的实验结果 # 320101028_黄倪远_多因子模型报告.pdf # - 该部分记录了实验完成的代码思路、实验结论与反思
About
This project was developed as the final project for the Quantitative Investment course at Zhejiang University. It implements a multi-factor framework in quantitative investing, incorporating 15 financial factors and generating a simple backtesting report to evaluate strategy performance.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published