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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.

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huangniyuan0313/MultiFactor

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# -*- 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

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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.

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