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niuniu126's Projects
alphalens
Performance analysis of predictive (alpha) stock factors
alphalens-1
Performance analysis of predictive (alpha) stock factors
barra-model
An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.
barra-multiple-factor-risk-model
Barra-Multiple-factor-risk-model
barra_cne5
Provide risk forecasts by Barra China Equity Model
barra_cne6
Barra CNE6 因子构建
barra_factor_model
chatpaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
coronavirus
毕业设计:基于SpringBoot及thymeleaf搭建的疫情信息管理系统
finrl
FinRL: Financial Reinforcement Learning. 🔥
gpt_academic
为GPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型
indian-mutual-fund-analysis
machinelearningstocks
Using python and scikit-learn to make stock predictions
nasdaq_stock_analysis
Analyzing different stocks listed on the NASDAQ stock market
nasdaq_stock_analysis-1
Analyzing different stocks listed on the NASDAQ stock market
pysal
PySAL: Python Spatial Analysis Library Meta-Package
qstock
qstock由“Python金融量化”公众号开发，试图打造成个人量化投研分析包，目前包括数据获取（data）、可视化(plot)、选股(stock)和量化回测（策略backtest）模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口； 选股模块提供了同花顺的选股数据和自定义选股，包括RPS、MM趋势、财务指标、资金流模型等； 回测模块为大家提供向量化（基于pandas）和基于事件驱动的基本框架和模型。 关注“Python金融量化“微信公众号，获取更多应用信息。
stock-price-app-using-streamlit-ngrok-yahoo-finance-and-google-colab
Stock Price App using Streamlit, Ngrok, Yahoo Finance and Google Colab
vnpy
基于Python的开源量化交易平台开发框架
wbopendata
WBOPENDATA: Stata module to access World Bank databases
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